From 047b16be597370c4fe95c20922cef67b2d4dc764 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Wed, 29 May 2024 00:29:20 +0100
Subject: [PATCH 01/92] refactor: add `hads_resample_and_reproject` to improve
 `hads` reprojection

---
 python/clim_recal/resample.py           |  44 ++--
 python/clim_recal/utils/core.py         |   6 +-
 python/clim_recal/utils/gdal_formats.py |   8 +
 python/clim_recal/utils/xarray.py       | 326 ++++++++++++++++++------
 python/pdm.lock                         |   6 +-
 python/tests/test_resample.py           | 114 +++++++--
 6 files changed, 375 insertions(+), 129 deletions(-)

diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index f23595bb..20394876 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -24,6 +24,7 @@
 from rich import print
 from tqdm.rich import trange
 from xarray import Dataset, open_dataset
+from xarray.core.types import T_Dataset
 
 from clim_recal.debiasing.debias_wrapper import VariableOptions
 
@@ -32,10 +33,13 @@
 from .utils.gdal_formats import TIF_EXTENSION_STR
 from .utils.xarray import (
     BRITISH_NATIONAL_GRID_EPSG,
+    DEFAULT_RELATIVE_GRID_DATA_PATH,
+    HADS_RAW_X_COLUMN_NAME,
+    HADS_RAW_Y_COLUMN_NAME,
     NETCDF_EXTENSION_STR,
     apply_geo_func,
     cpm_reproject_with_standard_calendar,
-    interpolate_coords,
+    hads_resample_and_reproject,
 )
 
 logger = getLogger(__name__)
@@ -56,8 +60,8 @@
 RAW_CPM_PATH: Final[PathLike] = CLIMATE_DATA_MOUNT_PATH / "Raw/UKCP2.2"
 RAW_HADS_TASMAX_PATH: Final[PathLike] = RAW_HADS_PATH / "tasmax/day"
 RAW_CPM_TASMAX_PATH: Final[PathLike] = RAW_CPM_PATH / "tasmax/01/latest"
-REPROJECTED_CPM_TASMAX_01_LATEST_INPUT_PATH: Final[PathLike] = (
-    CLIMATE_DATA_MOUNT_PATH / "Reprojected_infill/UKCP2.2/tasmax/01/latest"
+REPROJECTED_CPM_TASMAX_05_LATEST_INPUT_PATH: Final[PathLike] = (
+    CLIMATE_DATA_MOUNT_PATH / "Reprojected_infill/UKCP2.2/tasmax/05/latest"
 )
 
 CPRUK_RESOLUTION: Final[int] = 2200
@@ -70,12 +74,9 @@
 CPRUK_XDIM: Final[str] = "grid_longitude"
 CPRUK_YDIM: Final[str] = "grid_latitude"
 
-HADS_XDIM: Final[str] = "projection_x_coordinate"
-HADS_YDIM: Final[str] = "projection_y_coordinate"
+HADS_XDIM: Final[str] = HADS_RAW_X_COLUMN_NAME
+HADS_YDIM: Final[str] = HADS_RAW_Y_COLUMN_NAME
 
-DEFAULT_RELATIVE_GRID_DATA_PATH: Final[Path] = (
-    Path().absolute() / "../data/rcp85_land-cpm_uk_2.2km_grid.nc"
-)
 
 CPM_START_DATE: Final[date] = date(1980, 12, 1)
 CPM_END_DATE: Final[date] = date(2060, 11, 30)
@@ -108,7 +109,7 @@ class ResamblerBase:
     input_path: PathLike | None = RAW_HADS_TASMAX_PATH
     output_path: PathLike = RESAMPLING_OUTPUT_PATH / HADS_OUTPUT_LOCAL_PATH
     variable_name: VariableOptions = VariableOptions.default()
-    grid: PathLike | Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
+    grid: PathLike | T_Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
     input_files: Iterable[PathLike] | None = None
     cpus: int | None = None
     crop: PathLike | GeoDataFrame | None = None
@@ -234,8 +235,8 @@ def _range_call(
         step: int,
         override_export_path: Path | None = None,
         source_to_index: Iterable | None = None,
-    ) -> list[Path | Dataset]:
-        export_paths: list[Path | Dataset] = []
+    ) -> list[Path | T_Dataset]:
+        export_paths: list[Path | T_Dataset] = []
         if stop is None:
             stop = len(self)
         for index in trange(start, stop, step):
@@ -352,7 +353,7 @@ class HADsResampler(ResamblerBase):
     input_path: PathLike | None = RAW_HADS_TASMAX_PATH
     output_path: PathLike = RESAMPLING_OUTPUT_PATH / HADS_OUTPUT_LOCAL_PATH
     variable_name: VariableOptions = VariableOptions.default()
-    grid: PathLike | Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
+    grid: PathLike | T_Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
     input_files: Iterable[PathLike] | None = None
     cpus: int | None = None
     crop: PathLike | GeoDataFrame | None = None
@@ -371,7 +372,7 @@ def to_reprojection(
         override_export_path: Path | None = None,
         return_results: bool = False,
         source_to_index: Sequence | None = None,
-    ) -> Path | Dataset:
+    ) -> Path | T_Dataset:
         source_path: Path = self._get_source_path(
             index=index, source_to_index=source_to_index
         )
@@ -380,7 +381,8 @@ def to_reprojection(
         )
         return apply_geo_func(
             source_path=source_path,
-            func=interpolate_coords,
+            # func=interpolate_coords,
+            func=hads_resample_and_reproject,
             export_folder=path,
             # Leaving in case we return to using warp
             # export_path_as_output_path_kwarg=True,
@@ -432,19 +434,19 @@ class CPMResampler(ResamblerBase):
     >>> if not is_data_mounted:
     ...     pytest.skip(mount_doctest_skip_message)
     >>> cpm_resampler: CPMResampler = CPMResampler(
-    ...     input_path=REPROJECTED_CPM_TASMAX_01_LATEST_INPUT_PATH,
+    ...     input_path=REPROJECTED_CPM_TASMAX_05_LATEST_INPUT_PATH,
     ...     output_path=resample_test_cpm_output_path,
     ...     input_file_extension=TIF_EXTENSION_STR,
     ... )
     >>> cpm_resampler
     <CPMResampler(...count=100,...
-        ...input_path='.../tasmax/01/latest',...
+        ...input_path='.../tasmax/05/latest',...
         ...output_path='.../test-run-results_..._.../cpm')>
     >>> pprint(cpm_resampler.input_files)
-    (...Path('.../tasmax/01/latest/tasmax_...-cpm_uk_2.2km_01_day_19801201-19811130.tif'),
-     ...Path('.../tasmax/01/latest/tasmax_...-cpm_uk_2.2km_01_day_19811201-19821130.tif'),
-     ...,
-     ...Path('.../tasmax/01/latest/tasmax_...-cpm_uk_2.2km_01_day_20791201-20801130.tif'))
+    (...Path('.../tasmax/05/latest/tasmax_...-cpm_uk_2.2km_05_day_19801201-19811130.tif'),
+     ...Path('.../tasmax/05/latest/tasmax_...-cpm_uk_2.2km_05_day_19811201-19821130.tif'),
+     ...
+     ...Path('.../tasmax/05/latest/tasmax_...-cpm_uk_2.2km_05_day_20791201-20801130.tif'))
 
     """
 
@@ -465,7 +467,7 @@ def to_reprojection(
         override_export_path: Path | None = None,
         return_results: bool = False,
         source_to_index: Sequence | None = None,
-    ) -> Path | Dataset:
+    ) -> Path | T_Dataset:
         source_path: Path = self._get_source_path(
             index=index, source_to_index=source_to_index
         )
diff --git a/python/clim_recal/utils/core.py b/python/clim_recal/utils/core.py
index 79efa06f..d1f5cc85 100644
--- a/python/clim_recal/utils/core.py
+++ b/python/clim_recal/utils/core.py
@@ -664,6 +664,7 @@ def results_path(
     time: datetime | None = None,
     extension: str | None = None,
     mkdir: bool = False,
+    dot_pre_extension: bool = True,
 ) -> Path:
     """Return `Path`: `path`/`name`_`time`.`extension`.
 
@@ -679,7 +680,10 @@ def results_path(
         time = datetime.now()
     file_name: str = f"{name}_{time_str(time)}"
     if extension:
-        file_name += f".{extension}"
+        if dot_pre_extension:
+            file_name += f".{extension}"
+        else:
+            file_name += extension
     return path / file_name
 
 
diff --git a/python/clim_recal/utils/gdal_formats.py b/python/clim_recal/utils/gdal_formats.py
index dd3905ab..ea8c9341 100644
--- a/python/clim_recal/utils/gdal_formats.py
+++ b/python/clim_recal/utils/gdal_formats.py
@@ -1,5 +1,13 @@
 from typing import Final, Literal
 
+CPM_RAW_PROJ4: Final[
+    str
+] = "+proj=ob_tran +o_proj=longlat +o_lon_p=0 +o_lat_p=37.5 +lon_0=357.5 +R=6371229 +no_defs=True"
+
+HADS_RAW_PROJ4: Final[
+    str
+] = "+proj=tmerc +lat_0=49 +lon_0=-2 +k=0.9996012717 +x_0=400000 +y_0=-100000 +a=6377563.396 +rf=299.324961266495 +units=m +no_defs=True"
+
 GDALFormatsType = Literal[
     "VRT",
     "DERIVED",
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index c336b859..b0ececf6 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -3,13 +3,14 @@
 from logging import getLogger
 from os import PathLike
 from pathlib import Path
-from typing import Any, Callable, Final, Iterable, Literal
+from typing import Any, Callable, Final, Iterable, Literal, Sequence
 
 import numpy as np
 import rioxarray  # nopycln: import
 from cftime._cftime import Datetime360Day
 from geopandas import GeoDataFrame, read_file
-from numpy import array, random
+from matplotlib import pyplot as plt
+from numpy import array, ndarray, random
 from numpy.typing import NDArray
 from osgeo.gdal import Dataset as GDALDataset
 from osgeo.gdal import GDALWarpAppOptions, Warp, WarpOptions
@@ -17,7 +18,13 @@
 from xarray import CFTimeIndex, DataArray, Dataset, cftime_range, open_dataset
 from xarray.backends.api import ENGINES
 from xarray.coding.calendar_ops import convert_calendar
-from xarray.core.types import CFCalendar, InterpOptions
+from xarray.core.types import (
+    CFCalendar,
+    InterpOptions,
+    T_DataArray,
+    T_DataArrayOrSet,
+    T_Dataset,
+)
 
 from .core import (
     CLI_DATE_FORMAT_STR,
@@ -26,6 +33,7 @@
     climate_data_mount_path,
     date_range_generator,
     date_range_to_str,
+    results_path,
     time_str,
 )
 from .gdal_formats import (
@@ -41,7 +49,7 @@
 ChangeDayType = set[tuple[int, int]]
 
 # MONTH_DAY_DROP: DropDayType = {(1, 31), (4, 1), (6, 1), (8, 1), (10, 1), (12, 1)}
-"""A `set` of tuples of month and day numbers for `enforce_date_changes`."""
+# """A `set` of tuples of month and day numbers for `enforce_date_changes`."""
 
 BRITISH_NATIONAL_GRID_EPSG: Final[str] = "EPSG:27700"
 
@@ -102,6 +110,10 @@
 DEFAULT_CALENDAR_ALIGN: Final[ConvertCalendarAlignOptions] = "year"
 NETCDF4_XARRAY_ENGINE: Final[str] = "netcdf4"
 
+DEFAULT_RELATIVE_GRID_DATA_PATH: Final[Path] = (
+    Path().absolute() / "../data/rcp85_land-cpm_uk_2.2km_grid.nc"
+)
+
 
 CPM_365_OR_366_INTERMEDIATE_NC: Final[str] = "cpm-365-or-366.nc"
 CPM_365_OR_366_SIMPLIFIED_NC: Final[str] = "cpm-365-or-366-simplified.nc"
@@ -109,13 +121,18 @@
 CPM_365_OR_366_27700_FINAL: Final[str] = "cpm-365-or-366-27700-final.nc"
 CPM_LOCAL_INTERMEDIATE_PATH: Final[Path] = Path("cpm-intermediate-files")
 
+HADS_RAW_X_COLUMN_NAME: Final[str] = "projection_x_coordinate"
+HADS_RAW_Y_COLUMN_NAME: Final[str] = "projection_y_coordinate"
+HADS_DROP_VARS_AFTER_PROJECTION: Final[tuple[str, ...]] = ("longitude", "latitude")
+
+# TODO: CHECK IF I GOT THESE BACKWARDS
 FINAL_RESAMPLE_LAT_COL: Final[str] = "x"
 FINAL_RESAMPLE_LON_COL: Final[str] = "y"
 
 
 def cpm_xarray_to_standard_calendar(
-    cpm_xr_time_series: Dataset | PathLike, include_bnds_index: bool = False
-) -> Dataset:
+    cpm_xr_time_series: T_Dataset | PathLike, include_bnds_index: bool = False
+) -> T_Dataset:
     """Convert a CPM `nc` file of 360 day calendars to standard calendar.
 
     Parameters
@@ -131,7 +148,7 @@ def cpm_xarray_to_standard_calendar(
     """
     if isinstance(cpm_xr_time_series, PathLike):
         cpm_xr_time_series = open_dataset(cpm_xr_time_series, decode_coords="all")
-    cpm_to_std_calendar: Dataset = convert_xr_calendar(
+    cpm_to_std_calendar: T_Dataset = convert_xr_calendar(
         cpm_xr_time_series, interpolate_na=True, check_cftime_cols=("time_bnds",)
     )
     cpm_to_std_calendar[
@@ -142,7 +159,9 @@ def cpm_xarray_to_standard_calendar(
     cpm_to_std_calendar["year"] = cpm_to_std_calendar.year.interpolate_na(
         "time", fill_value="extrapolate"
     )
-    yyyymmdd_fix: DataArray = cpm_to_std_calendar.time.dt.strftime(CLI_DATE_FORMAT_STR)
+    yyyymmdd_fix: T_DataArray = cpm_to_std_calendar.time.dt.strftime(
+        CLI_DATE_FORMAT_STR
+    )
     cpm_to_std_calendar["yyyymmdd"] = yyyymmdd_fix
     assert cpm_xr_time_series.rio.crs == cpm_to_std_calendar.rio.crs
     if include_bnds_index:
@@ -233,8 +252,8 @@ def __post_init__(self) -> None:
     def __repr__(self):
         """Summary of config."""
         return (
-            f"<IntermediateCPMFilesManager(output_path='{self.output_path}, "
-            f"intermediate_files_folder='{self.intermediate_files_folder})>"
+            f"<IntermediateCPMFilesManager(output_path='{self.output_path}', "
+            f"intermediate_files_folder='{self.intermediate_files_folder}')>"
         )
 
     @property
@@ -290,17 +309,21 @@ def final_nc_path(self) -> Path:
 
 
 def cpm_reproject_with_standard_calendar(
-    cpm_xr_time_series: Dataset | PathLike,
+    cpm_xr_time_series: T_Dataset | PathLike,
     variable_name: str,
     output_path: PathLike,
     file_name_prefix: str = "",
     subfolder: PathLike = CPM_LOCAL_INTERMEDIATE_PATH,
     subfolder_time_stamp: bool = False,
-    final_x_coord_label: str = FINAL_RESAMPLE_LON_COL,
-    final_y_coord_label: str = FINAL_RESAMPLE_LAT_COL,
-) -> Dataset:
+    source_x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
+    source_y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
+) -> T_Dataset:
     """Convert raw `cpm_xr_time_series` to an 365/366 days and 27700 coords.
 
+    Notes
+    -----
+    Currently makes UTM coordinate structure
+
     Parameters
     ----------
     cpm_xr_time_series
@@ -318,63 +341,75 @@ def cpm_reproject_with_standard_calendar(
     if isinstance(cpm_xr_time_series, PathLike):
         cpm_xr_time_series = open_dataset(cpm_xr_time_series, decode_coords="all")
 
-    intermediate_files: IntermediateCPMFilesManager = IntermediateCPMFilesManager(
-        file_name_prefix=file_name_prefix,
-        variable_name=variable_name,
-        output_path=Path(output_path),
-        subfolder_path=Path(subfolder),
-        subfolder_time_stamp=subfolder_time_stamp,
-        time_series_start=cpm_xr_time_series.time.values[0],
-        time_series_end=cpm_xr_time_series.time.values[-1],
+    intermediate_file_configs: IntermediateCPMFilesManager = (
+        IntermediateCPMFilesManager(
+            file_name_prefix=file_name_prefix,
+            variable_name=variable_name,
+            output_path=Path(output_path),
+            subfolder_path=Path(subfolder),
+            subfolder_time_stamp=subfolder_time_stamp,
+            time_series_start=cpm_xr_time_series.time.values[0],
+            time_series_end=cpm_xr_time_series.time.values[-1],
+        )
     )
 
-    expanded_calendar: Dataset = cpm_xarray_to_standard_calendar(cpm_xr_time_series)
-    subset_within_ensemble: DataArray = expanded_calendar[variable_name][0]
-    subset_within_ensemble.to_netcdf(intermediate_files.intermediate_nc_path)
-    simplified_netcdf: Dataset = open_dataset(
-        intermediate_files.intermediate_nc_path, decode_coords="all"
+    expanded_calendar: T_Dataset = cpm_xarray_to_standard_calendar(cpm_xr_time_series)
+    # Index through the first ensemble
+    subset_within_ensemble: T_DataArray = expanded_calendar[variable_name][0]
+
+    subset_within_ensemble.to_netcdf(intermediate_file_configs.intermediate_nc_path)
+    simplified_netcdf: T_Dataset = open_dataset(
+        intermediate_file_configs.intermediate_nc_path, decode_coords="all"
+    )
+    simplified_netcdf["grid_longitude_bnds"] = expanded_calendar.grid_longitude_bnds
+    simplified_netcdf["grid_latitude_bnds"] = expanded_calendar.grid_latitude_bnds
+    simplified_netcdf[variable_name].to_netcdf(
+        intermediate_file_configs.simplified_nc_path
     )
-    simplified_netcdf[variable_name].to_netcdf(intermediate_files.simplified_nc_path)
 
     warped_to_22700_path = gdal_warp_wrapper(
-        input_path=intermediate_files.simplified_nc_path,
-        output_path=intermediate_files.intermediate_warp_path,
+        input_path=intermediate_file_configs.simplified_nc_path,
+        output_path=intermediate_file_configs.intermediate_warp_path,
         copy_metadata=True,
         format=None,
     )
 
-    assert warped_to_22700_path == intermediate_files.intermediate_warp_path
-    warped_to_22700 = open_dataset(intermediate_files.intermediate_warp_path)
+    assert warped_to_22700_path == intermediate_file_configs.intermediate_warp_path
+    warped_to_22700 = open_dataset(intermediate_file_configs.intermediate_warp_path)
     assert warped_to_22700.rio.crs == BRITISH_NATIONAL_GRID_EPSG
     assert len(warped_to_22700.time) == len(expanded_calendar.time)
 
     # Commenting these out in prep for addressing
     # https://github.com/alan-turing-institute/clim-recal/issues/151
-    # warped_to_22700_y_axis_inverted: Dataset = warped_to_22700.reindex(
-    #     y=list(reversed(warped_to_22700.y))
+    # warped_to_22700_y_axis_inverted: T_Dataset = warped_to_22700.reindex(
+    #     y=warped_to_22700.y * -1
     # )
     #
     # warped_to_22700_y_axis_inverted = warped_to_22700_y_axis_inverted.rename(
-    #     {"x": final_x_coord_label, "y": final_y_coord_label}
+    #     {"x": source_x_coord_column_name, "y": source_y_coord_column_name}
     # )
 
-    warped_to_22700_y_axis_inverted.to_netcdf(intermediate_files.final_nc_path)
-    final_results = open_dataset(intermediate_files.final_nc_path, decode_coords="all")
+    # warped_to_22700_y_axis_inverted.to_netcdf(intermediate_file_configs.final_nc_path)
+    warped_to_22700.to_netcdf(intermediate_file_configs.final_nc_path)
+    final_results = open_dataset(
+        intermediate_file_configs.final_nc_path, decode_coords="all"
+    )
     assert (final_results.time == expanded_calendar.time).all()
     return final_results
 
 
 def interpolate_coords(
-    xr_time_series: Dataset,
+    xr_time_series: T_Dataset,
     variable_name: str,
-    x_grid: NDArray,
-    y_grid: NDArray,
-    xr_time_series_x_column_name: str = FINAL_RESAMPLE_LON_COL,
-    xr_time_series_y_column_name: str = FINAL_RESAMPLE_LAT_COL,
+    x_grid: NDArray | None = None,
+    y_grid: NDArray | None = None,
+    x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
+    y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
+    reference_coords: T_Dataset | PathLike = DEFAULT_RELATIVE_GRID_DATA_PATH,
     method: str = "linear",
     engine: XArrayEngineType = NETCDF4_XARRAY_ENGINE,
     **kwargs,
-) -> Dataset:
+) -> T_Dataset:
     """Reproject `xr_time_series` to `x_resolution`/`y_resolution`.
 
     Notes
@@ -387,20 +422,157 @@ def interpolate_coords(
         xr_time_series = open_dataset(
             xr_time_series, decode_coords="all", engine=engine
         )
-    assert isinstance(xr_time_series, Dataset)
-    # crs = crs if crs else xr_time_series.rio.crs
-    # Code commented out below relates to a method following this discussion:
-    # https://github.com/corteva/rioxarray/discussions/762
-    # if x_resolution and y_resolution:
-    #     kwargs['resolution'] = (x_resolution, y_resolution)
-    # return xr_time_series.rio.reproject(dst_crs=crs, **kwargs)
-    kwargs[xr_time_series_x_column_name] = x_grid
-    kwargs[xr_time_series_y_column_name] = y_grid
-    return xr_time_series[[variable_name]].interp(method=method, **kwargs)
+
+    try:
+        assert isinstance(xr_time_series, Dataset)
+    except:
+        ValueError(f"'xr_time_series' must be an 'xr.Dataset' instance.")
+
+    if x_grid is None or y_grid is None:
+        try:
+            assert x_grid is None and y_grid is None
+        except:
+            raise ValueError(f"Both 'x_grid' and 'y_grid' must be set or none")
+        if isinstance(reference_coords, PathLike | str):
+            reference_coords = open_dataset(
+                reference_coords, decode_coords="all", engine=engine
+            )
+        try:
+            assert isinstance(reference_coords, Dataset)
+        except:
+            ValueError(f"'reference_coords' must be an 'xr.Dataset' instance.")
+
+        x_grid = (
+            reference_coords[x_coord_column_name].values if x_grid is None else x_grid
+        )
+        y_grid = (
+            reference_coords[y_coord_column_name].values if y_grid is None else y_grid
+        )
+        try:
+            assert x_coord_column_name in reference_coords.coords
+            assert y_coord_column_name in reference_coords.coords
+            assert x_coord_column_name in xr_time_series.coords
+            assert y_coord_column_name in xr_time_series.coords
+        except AssertionError:
+            raise ValueError(
+                f"At least one of\n"
+                f"'x_coord_column_name': '{x_coord_column_name}'\n"
+                f"'y_coord_column_name': '{y_coord_column_name}'\n"
+                f"not in 'reference_coords' and/or 'xr_time_series'."
+            )
+
+    try:
+        assert isinstance(x_grid, ndarray)
+        assert isinstance(y_grid, ndarray)
+    except:
+        raise ValueError(
+            f"Both must be 'ndarray' instances.\n"
+            f"'x_grid': {x_grid}\n'y_grid': {y_grid}"
+        )
+    kwargs[x_coord_column_name] = x_grid
+    kwargs[y_coord_column_name] = y_grid
+    reprojected: T_Dataset = xr_time_series[variable_name].interp(
+        method=method, **kwargs
+    )
+    # Ensure original `rio.crs` is kept in returned `Dataset`
+    if x_grid is None and y_grid is None:
+        reprojected.rio.write_crs(reference_coords.rio.crs, inplace=True)
+    else:
+        reprojected.rio.write_crs(xr_time_series.rio.crs, inplace=True)
+    return reprojected
+
+
+def hads_resample_and_reproject(
+    hads_xr_time_series: T_Dataset | PathLike,
+    variable_name: str,
+    x_grid: NDArray | None = None,
+    y_grid: NDArray | None = None,
+    method: str = "linear",
+    source_x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
+    source_y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
+    final_x_coord_column_name: str = "lon",
+    final_y_coord_column_name: str = "lat",
+    final_crs: str | None = BRITISH_NATIONAL_GRID_EPSG,
+    vars_to_drop: Sequence[str] | None = HADS_DROP_VARS_AFTER_PROJECTION,
+) -> T_Dataset:
+    """Resample `HADs` `xarray` time series to 2.2km."""
+    if isinstance(hads_xr_time_series, PathLike):
+        hads_xr_time_series = open_dataset(hads_xr_time_series, decode_coords="all")
+
+    interpolated_hads: T_Dataset = interpolate_coords(
+        hads_xr_time_series,
+        variable_name=variable_name,
+        x_grid=x_grid,
+        y_grid=y_grid,
+        x_coord_column_name=source_x_coord_column_name,
+        y_coord_column_name=source_y_coord_column_name,
+        method=method,
+    )
+    if vars_to_drop:
+        interpolated_hads = interpolated_hads.drop_vars(vars_to_drop)
+    interpolated_hads = interpolated_hads.rename(
+        {
+            source_x_coord_column_name: final_x_coord_column_name,
+            source_y_coord_column_name: final_y_coord_column_name,
+        }
+    )
+    if final_crs:
+        interpolated_hads.rio.write_crs(final_crs, inplace=True)
+    return interpolated_hads
+
+
+def plot_xarray(
+    da: T_DataArrayOrSet, path: PathLike, time_stamp: bool = False, **kwargs
+) -> Path:
+    """Plot `da` with `**kwargs` to `path`.
+
+    Parameters
+    ----------
+    da
+        `xarray` objec to plot.
+    path
+        File to write plot to.
+    time_stamp
+        Whather to add a `datetime` `str` of time of writing in file name.
+    kwargs
+        Additional parameters to pass to `plot`.
+
+    Examples
+    --------
+    >>> example_path: Path = (
+    ...     getfixture('tmp_path') / 'test-path/example.png')
+    >>> image_path: Path = plot_xarray(
+    ...     xarray_spatial_4_days, example_path)
+    >>> example_path == image_path
+    True
+    >>> example_time_stamped: Path = (
+    ...      example_path.parent / 'example-stamped.png')
+    >>> timed_image_path: Path = plot_xarray(
+    ...     xarray_spatial_4_days, example_time_stamped,
+    ...     time_stamp=True)
+    >>> example_time_stamped != timed_image_path
+    True
+    >>> print(timed_image_path)
+    /.../test-path/example-stamped_...-...-..._...png
+    """
+    da.plot(**kwargs)
+    path = Path(path)
+    path.parent.mkdir(exist_ok=True, parents=True)
+    if time_stamp:
+        path = results_path(
+            name=path.stem,
+            path=path.parent,
+            mkdir=True,
+            extension=path.suffix,
+            dot_pre_extension=False,
+        )
+    plt.savefig(path)
+    plt.close()
+    return Path(path)
 
 
 def crop_nc(
-    xr_time_series: Dataset | PathLike,
+    xr_time_series: T_Dataset | PathLike,
     crop_geom: PathLike | GeoDataFrame,
     invert=False,
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG,
@@ -409,7 +581,7 @@ def crop_nc(
     xr_spatial_xdim: str = "grid_longitude",
     xr_spatial_ydim: str = "grid_latitude",
     **kwargs,
-) -> Dataset:
+) -> T_Dataset:
     """Crop `xr_time_series` with `crop_path` `shapefile`.
 
     Parameters
@@ -482,8 +654,8 @@ def crop_nc(
 
 
 def ensure_xr_dataset(
-    xr_time_series: Dataset | DataArray, default_name="to_convert"
-) -> Dataset:
+    xr_time_series: T_DataArrayOrSet, default_name="to_convert"
+) -> T_Dataset:
     """Return `xr_time_series` as a `xarray.Dataset` instance.
 
     Parameters
@@ -533,7 +705,7 @@ def convert_xr_calendar(
     check_cftime_cols: tuple[str] | None = None,
     cftime_range_gen_kwargs: dict[str, Any] | None = None,
     **kwargs,
-) -> Dataset | DataArray:
+) -> T_DataArrayOrSet:
     """Convert cpm 360 day time series to a standard 365/366 day time series.
 
     Notes
@@ -598,7 +770,7 @@ def convert_xr_calendar(
     --------
     # Note a new doctest needs to be written to deal
     # with default `year` vs `date` parameters
-    >>> xr_360_to_365_datetime64: Dataset = convert_xr_calendar(
+    >>> xr_360_to_365_datetime64: T_Dataset = convert_xr_calendar(
     ...     xarray_spatial_4_years_360_day, align_on="date")
     >>> xr_360_to_365_datetime64.sel(
     ...     time=slice("1981-01-30", "1981-02-01"),
@@ -607,7 +779,7 @@ def convert_xr_calendar(
     Coordinates:
       * time     (time) datetime64[ns] ...1981-01-30 1981-01-31 1981-02-01
         space    <U10 ...'Glasgow'
-    >>> xr_360_to_365_datetime64_interp: Dataset = convert_xr_calendar(
+    >>> xr_360_to_365_datetime64_interp: T_Dataset = convert_xr_calendar(
     ...     xarray_spatial_4_years_360_day, interpolate_na=True)
     >>> xr_360_to_365_datetime64_interp.sel(
     ...     time=slice("1981-01-30", "1981-02-01"),
@@ -631,7 +803,7 @@ def convert_xr_calendar(
             xr_time_series = open_dataset(xr_time_series, engine=engine)
     if ensure_output_type_is_dataset:
         xr_time_series = ensure_xr_dataset(xr_time_series)
-    calendar_converted_ts: Dataset | DataArray = convert_calendar(
+    calendar_converted_ts: T_DataArrayOrSet = convert_calendar(
         xr_time_series,
         calendar,
         align_on=align_on,
@@ -658,8 +830,8 @@ def convert_xr_calendar(
 
 
 def interpolate_xr_ts_nans(
-    xr_ts: Dataset,
-    original_xr_ts: Dataset | None = None,
+    xr_ts: T_Dataset,
+    original_xr_ts: T_Dataset | None = None,
     check_cftime_cols: tuple[str] | None = None,
     interpolate_method: InterpOptions = DEFAULT_INTERPOLATION_METHOD,
     keep_crs: bool = True,
@@ -667,7 +839,7 @@ def interpolate_xr_ts_nans(
     limit: int = 1,
     cftime_range_gen_kwargs: dict[str, Any] | None = None,
     **kwargs,
-) -> Dataset:
+) -> T_Dataset:
     """Interpolate `nan` values in a `Dataset` time series.
 
     Notes
@@ -709,7 +881,7 @@ def interpolate_xr_ts_nans(
     # Without this the `nan` values don't get filled
     kwargs["fill_value"] = "extrapolate"
 
-    interpolated_ts: Dataset = xr_ts.interpolate_na(
+    interpolated_ts: T_Dataset = xr_ts.interpolate_na(
         dim="time",
         method=interpolate_method,
         keep_attrs=keep_attrs,
@@ -839,7 +1011,7 @@ def apply_geo_func(
     export_path = Path(export_folder) / export_path.name
     if export_path_as_output_path_kwarg:
         kwargs["output_path"] = export_path
-    results: Dataset | Path | GDALDataset = func(source_path, **kwargs)
+    results: T_Dataset | Path | GDALDataset = func(source_path, **kwargs)
     if to_netcdf or to_raster:
         if isinstance(results, Path):
             results = open_dataset(results)
@@ -937,7 +1109,7 @@ def xarray_example(
     # If useful, add lat/lon (currently not working)
     # lat: list[float] = [coord[0] for coord in coordinates.values()]
     # lon: list[float] = [coord[1] for coord in coordinates.values()]
-    da: DataArray = DataArray(
+    da: T_DataArray = DataArray(
         random_data,
         name=name,
         coords={
@@ -1010,7 +1182,7 @@ def file_name_to_start_end_dates(
     return start_date, end_date
 
 
-def generate_360_to_standard(array_to_expand: DataArray) -> DataArray:
+def generate_360_to_standard(array_to_expand: T_DataArray) -> DataArray:
     """Return `array_to_expand` 360 days expanded to 365 or 366 days.
 
     This may be dropped if `cpm_reproject_with_standard_calendar` is successful.
@@ -1038,7 +1210,7 @@ def correct_int_time_datafile(
     new_index_name: str = "time",
     replace_index: str | None = "band",
     data_attribute_name: str = "band_data",
-) -> Dataset:
+) -> T_Dataset:
     """Load a `Dataset` from path and generate `time` index.
 
     Notes
@@ -1052,13 +1224,13 @@ def correct_int_time_datafile(
     ...     glasgow_example_cropped_cpm_rainfall_path)
     >>> assert False
     """
-    xr_dataset: Dataset = open_dataset(xr_dataset_path)
+    xr_dataset: T_Dataset = open_dataset(xr_dataset_path)
     metric_name: str = str(xr_dataset_path).split("_")[0]
     start_date, end_date = file_name_to_start_end_dates(xr_dataset_path)
     dates_index: DatetimeIndex = date_range(start_date, end_date)
     intermediate_new_index: str = new_index_name + "_standard"
     # xr_intermediate_date = xr_dataset.assign_coords({intermediate_new_index: dates_index})
-    xr_dataset[intermediate_new_index]: Dataset = dates_index
+    xr_dataset[intermediate_new_index]: T_Dataset = dates_index
     xr_360_datetime = xr_dataset[intermediate_new_index].convert_calendar(
         "360_day", align_on="year", dim=intermediate_new_index
     )
@@ -1071,21 +1243,21 @@ def correct_int_time_datafile(
     assert len(xr_360_datetime[intermediate_new_index]) == 360
     # xr_with_datetime['time'] = xr_360_datetime
     assert False
-    xr_bands_time_indexed: DataArray = xr_intermediate_date[
+    xr_bands_time_indexed: T_DataArray = xr_intermediate_date[
         data_attribute_name
     ].expand_dims(dim={new_index_name: xr_intermediate_date[new_index_name]})
-    # xr_365_data_array: DataArray = convert_xr_calendar(xr_bands_time_indexed)
-    xr_365_dataset: Dataset = Dataset({metric_name: xr_bands_time_indexed})
-    partial_fix_365_dataset: Dataset = convert_xr_calendar(xr_365_dataset.time)
+    # xr_365_data_array: T_DataArray = convert_xr_calendar(xr_bands_time_indexed)
+    xr_365_dataset: T_Dataset = Dataset({metric_name: xr_bands_time_indexed})
+    partial_fix_365_dataset: T_Dataset = convert_xr_calendar(xr_365_dataset.time)
     assert False
 
 
-def cftime_range_gen(time_data_array: DataArray, **kwargs) -> NDArray:
+def cftime_range_gen(time_data_array: T_DataArray, **kwargs) -> NDArray:
     """Convert a banded time index a banded standard (Gregorian)."""
     assert hasattr(time_data_array, "time")
     time_bnds_fix_range_start: CFTimeIndex = cftime_range(
         time_data_array.time.dt.strftime(ISO_DATE_FORMAT_STR).values[0],
-        time_data_array.time.dt.strftime(ISO_DATE_FORMAT_STR).values[-1],
+        time_data_array.time.dt.strftime(ISO_DATE_FORMAT_STR).values[0],
         **kwargs,
     )
     time_bnds_fix_range_end: CFTimeIndex = time_bnds_fix_range_start + timedelta(days=1)
diff --git a/python/pdm.lock b/python/pdm.lock
index 21cb0518..8f878af9 100644
--- a/python/pdm.lock
+++ b/python/pdm.lock
@@ -5,7 +5,7 @@
 groups = ["default", "dev"]
 strategy = ["cross_platform", "inherit_metadata"]
 lock_version = "4.4.1"
-content_hash = "sha256:fa0184edcb8174bb0e77f1f414227bd968c3f628b7663d4cd46256121f733310"
+content_hash = "sha256:e16ddaa6a94f3b279112089e7a38addc0cfe7a1cc7f48fc23deb078c4e3b59cb"
 
 [[package]]
 name = "affine"
@@ -841,12 +841,12 @@ files = [
 
 [[package]]
 name = "gdal"
-version = "3.8.3"
+version = "3.8.5"
 requires_python = ">=3.6.0"
 summary = "GDAL: Geospatial Data Abstraction Library"
 groups = ["default"]
 files = [
-    {file = "GDAL-3.8.3.tar.gz", hash = "sha256:eae2587c581d6609289e44f30afe30edcc25fbc640b5d6aba2f3c3e81def55be"},
+    {file = "GDAL-3.8.5.tar.gz", hash = "sha256:ad8addd58ba9c62aefc7f65d345c168736798f137e5c8f247af76fcf4862d371"},
 ]
 
 [[package]]
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index cb58b704..4a6ea309 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -6,9 +6,11 @@
 import pytest
 from geopandas import GeoDataFrame, read_file
 from matplotlib import pyplot as plt
+from numpy.testing import assert_allclose
 from numpy.typing import NDArray
 from osgeo.gdal import Dataset as GDALDataset
-from xarray import DataArray, Dataset, open_dataset
+from xarray import open_dataset
+from xarray.core.types import T_DataArray, T_Dataset
 
 from clim_recal.resample import (
     BRITISH_NATIONAL_GRID_EPSG,
@@ -58,6 +60,8 @@
     crop_nc,
     file_name_to_start_end_dates,
     gdal_warp_wrapper,
+    hads_resample_and_reproject,
+    plot_xarray,
     xarray_example,
 )
 
@@ -112,21 +116,57 @@
     [10.645899, 10.508448, 10.546778, 10.547998, 10.553614], dtype="float32"
 )
 
+# Initial HADS projection test results matched this, leaving to
+# double check before merge to main
+# FINAL_HADS_JAN_10_430_X_370_390_Y: Final[NDArray] = np.array(
+# (        np.nan,     np.nan,     np.nan,    np.nan,      np.nan,
+#          np.nan,     np.nan,     np.nan,    np.nan,  4.99268164,
+#      4.82281839, 4.55366184, 4.45834185, 4.27357187, 4.1575218,
+#      4.07316193, 3.97350405, 3.84286826, 3.81615739, 3.84426594),
+# )
+
+FINAL_HADS_JAN_10_430_X_230_250_Y: Final[NDArray] = np.array(
+    (
+        np.nan,
+        np.nan,
+        np.nan,
+        np.nan,
+        np.nan,
+        np.nan,
+        np.nan,
+        np.nan,
+        np.nan,
+        np.nan,
+        np.nan,
+        3.39634549,
+        2.97574018,
+        2.63433646,
+        2.62451613,
+        2.53676574,
+        2.42130933,
+        2.66667496,
+        2.60239203,
+        2.5052739,
+    )
+)
+
 
 @pytest.mark.mount
 @pytest.fixture(scope="session")
-def tasmax_cpm_1980_raw() -> Dataset:
+def tasmax_cpm_1980_raw() -> T_Dataset:
+    # Backup path if furture rehydration issues
+    # return open_dataset("/Volumes/vmfileshare/ClimateData/Raw/UKCP2.2/tasmin/05/latest/tasmin_rcp85_land-cpm_uk_2.2km_05_day_19801201-19811130.nc", decode_coords="all")
     return open_dataset(UKCP_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
 
 
 @pytest.mark.mount
 @pytest.fixture(scope="session")
-def tasmax_hads_1980_raw() -> Dataset:
+def tasmax_hads_1980_raw() -> T_Dataset:
     return open_dataset(HADS_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
 
 
 @pytest.fixture(scope="session")
-def reference_final_coord_grid() -> Dataset:
+def reference_final_coord_grid() -> T_Dataset:
     return open_dataset(DEFAULT_RELATIVE_GRID_DATA_PATH, decode_coords="all")
 
 
@@ -214,7 +254,7 @@ def test_leap_year_days() -> None:
     """Test covering a leap year of 366 days."""
     start_date_str: str = "2024-03-01"
     end_date_str: str = "2025-03-01"
-    xarray_2024_2025: DataArray = xarray_example(
+    xarray_2024_2025: T_DataArray = xarray_example(
         start_date=start_date_str,
         end_date=end_date_str,
         inclusive=True,
@@ -376,7 +416,7 @@ def test_time_gaps_360_to_standard_calendar(
     # align_on: ConvertCalendarAlignOptions = 'date'
 
     # Create a base
-    base: Dataset = xarray_example(
+    base: T_Dataset = xarray_example(
         start_date, end_date, as_dataset=True, inclusive=inclusive_date_range
     )
 
@@ -385,7 +425,7 @@ def test_time_gaps_360_to_standard_calendar(
     assert len(base.time) == gen_date_count
 
     # Convert to `360_day` calendar example
-    dates_360: Dataset = base.convert_calendar(
+    dates_360: T_Dataset = base.convert_calendar(
         calendar="360_day",
         align_on=align_on,
         use_cftime=use_cftime,
@@ -398,7 +438,7 @@ def test_time_gaps_360_to_standard_calendar(
         with pytest.raises(ValueError):
             convert_xr_calendar(dates_360, align_on=align_on, use_cftime=use_cftime)
     else:
-        dates_converted: Dataset = convert_xr_calendar(
+        dates_converted: T_Dataset = convert_xr_calendar(
             dates_360, align_on=align_on, use_cftime=use_cftime
         )
         assert len(dates_converted.time) == converted_days
@@ -421,12 +461,12 @@ def test_convert_cpm_calendar(interpolate_na: bool) -> None:
     creating the `na_values` `bool` as the inverse of `interpolate_na`.
     """
     any_na_values_in_tasmax: bool = not interpolate_na
-    raw_nc: Dataset = open_dataset(
+    raw_nc: T_Dataset = open_dataset(
         UKCP_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all", engine=NETCDF4_XARRAY_ENGINE
     )
     assert len(raw_nc.time) == 360
     assert len(raw_nc.time_bnds) == 360
-    converted: Dataset = convert_xr_calendar(raw_nc, interpolate_na=interpolate_na)
+    converted: T_Dataset = convert_xr_calendar(raw_nc, interpolate_na=interpolate_na)
     assert len(converted.time) == 365
     assert len(converted.time_bnds) == 365
     assert (
@@ -514,7 +554,7 @@ def test_geo_warp_format_type_crop(
             parent_path=data_path,
         )
     )
-    xarray_pre_warp: Dataset = open_dataset(
+    xarray_pre_warp: T_Dataset = open_dataset(
         max_temp_data_path, decode_coords="all", engine=NETCDF4_XARRAY_ENGINE
     )
     xarray_pre_warp.isel(time=0).tasmax.plot()
@@ -538,7 +578,7 @@ def test_geo_warp_format_type_crop(
             output_bounds=uk_rotated_grid_bounds,
         )
     assert xarray_warped is not None
-    read_exported: Dataset = open_dataset(warp_test_file_path, decode_coords="all")
+    read_exported: T_Dataset = open_dataset(warp_test_file_path, decode_coords="all")
 
     read_exported.Band1.plot()
     plt.savefig(warp_test_fig_path)
@@ -552,7 +592,7 @@ def test_geo_warp_format_type_crop(
 @pytest.mark.slow
 @pytest.mark.parametrize("include_bnds_index", (True, False))
 def test_cpm_xarray_to_standard_calendar(
-    tasmax_cpm_1980_raw: Dataset,
+    tasmax_cpm_1980_raw: T_Dataset,
     include_bnds_index: bool,
 ) -> None:
     """Test 360 raw to 365/366 calendar conversion.
@@ -604,21 +644,23 @@ def test_cpm_xarray_to_standard_calendar(
 @pytest.mark.mount
 @pytest.mark.slow
 def test_cpm_warp_steps(
-    tasmax_cpm_1980_raw: Dataset,
+    tasmax_cpm_1980_raw: T_Dataset,
     test_runs_output_path: Path,
+    caplog: pytest.LogCaptureFixture,
+    variable_name: str = "tasmax",
 ) -> None:
     """Test all steps around calendar and warping CPM RAW data."""
     # file_name_prefix: str = "test-1980"
     output_path: Path = test_runs_output_path / "test-cpm-warp"
     test_intermediate_files = IntermediateCPMFilesManager(
-        variable_name="tasmax",
+        variable_name=variable_name,
         output_path=output_path,
         time_series_start=tasmax_cpm_1980_raw.time.values[0],
         time_series_end=tasmax_cpm_1980_raw.time.values[-1],
     )
     projected = cpm_reproject_with_standard_calendar(
         tasmax_cpm_1980_raw,
-        variable_name="tasmax",
+        variable_name=variable_name,
         output_path=output_path,
         # file_name_prefix=file_name_prefix,
     )
@@ -633,10 +675,11 @@ def test_cpm_warp_steps(
     assert test_intermediate_files.intermediate_files_folder.name.startswith(
         CPM_LOCAL_INTERMEDIATE_PATH.name
     )
-    final_results: Dataset = open_dataset(
+    final_results: T_Dataset = open_dataset(
         test_intermediate_files.final_nc_path, decode_coords="all"
     )
     assert (final_results.time == projected.time).all()
+    assert False
 
 
 @pytest.mark.xfail(reason="test not complete")
@@ -687,14 +730,14 @@ def test_crop_nc(
         end_year=1981,
         parent_path=data_fixtures_path,
     )
-    xarray_pre_crop: Dataset = open_dataset(max_temp_1981_path, decode_coords="all")
+    xarray_pre_crop: T_Dataset = open_dataset(max_temp_1981_path, decode_coords="all")
     xarray_pre_crop.isel(time=0).tasmax.plot()
     plt.savefig(pre_crop_test_fig_path)
 
     assert str(xarray_pre_crop.rio.crs) != BRITISH_NATIONAL_GRID_EPSG
     assert xarray_pre_crop.rio.bounds() == uk_rotated_grid_bounds
 
-    cropped: Dataset = crop_nc(
+    cropped: T_Dataset = crop_nc(
         xr_time_series=max_temp_1981_path,
         crop_geom=glasgow_shape_file_path,
         enforce_xarray_spatial_dims=True,
@@ -739,7 +782,7 @@ def test_ukcp_manager(resample_test_cpm_output_path, config: str) -> None:
             paths = test_config.range_to_reprojection(
                 stop=1, source_to_index=tuple(test_config)
             )
-    export: Dataset = open_dataset(paths[0])
+    export: T_Dataset = open_dataset(paths[0])
     assert export.dims["time"] == 365
     assert export.dims[FINAL_RESAMPLE_LON_COL] == 492
     assert export.dims[FINAL_RESAMPLE_LAT_COL] == 608  # previously 603
@@ -773,7 +816,7 @@ def test_hads_manager(resample_test_hads_output_path, range: bool) -> None:
         paths = test_config.range_to_reprojection(stop=1)
     else:
         paths = [test_config.to_reprojection()]
-    export: Dataset = open_dataset(paths[0])
+    export: T_Dataset = open_dataset(paths[0])
     assert len(export.time) == 31
     assert not np.isnan(export.tasmax[0][200:300].values).all()
     assert (
@@ -787,9 +830,9 @@ def test_hads_manager(resample_test_hads_output_path, range: bool) -> None:
 @pytest.mark.parametrize("data_type", ("hads", "cpm"))
 def test_interpolate_coords(
     data_type: str,
-    reference_final_coord_grid: Dataset,
-    tasmax_cpm_1980_raw: Dataset,
-    tasmax_hads_1980_raw: Dataset,
+    reference_final_coord_grid: T_Dataset,
+    tasmax_cpm_1980_raw: T_Dataset,
+    tasmax_hads_1980_raw: T_Dataset,
 ) -> None:
     """Test reprojecting raw spatial files.
 
@@ -797,7 +840,7 @@ def test_interpolate_coords(
     -----
     Still seems to run even when `-m "not mount"` is specified.
     """
-    reprojected_xr_time_series: Dataset
+    reprojected_xr_time_series: T_Dataset
     kwargs: dict[str, Any] = dict(
         variable_name="tasmax",
         x_grid=reference_final_coord_grid.projection_x_coordinate,
@@ -813,6 +856,7 @@ def test_interpolate_coords(
         assert reprojected_xr_time_series.dims["time"] == 31
         # assert reprojected_xr_time_series.dims[HADS_XDIM] == 528
         # assert reprojected_xr_time_series.dims[HADS_YDIM] == 651
+        assert reprojected_xr_time_series.rio.crs
     else:
         # We are now using gdal_warp_wrapper. See test_cpm_warp_steps
         reprojected_xr_time_series = interpolate_coords(
@@ -827,6 +871,22 @@ def test_interpolate_coords(
     assert reprojected_xr_time_series.dims[HADS_YDIM] == 651
 
 
+@pytest.mark.mount
+def test_hads_resample_and_reproject(
+    tasmax_hads_1980_raw: T_Dataset,
+) -> None:
+    variable_name: str = "tasmax"
+    reprojected: T_Dataset = hads_resample_and_reproject(
+        tasmax_hads_1980_raw,
+        variable_name=variable_name,
+    )
+    plot_xarray(
+        reprojected, path="tests/runs/reample-hads/tasmas-1980.png", time_stamp=True
+    )
+    assert_allclose(reprojected[10][430][230:250], FINAL_HADS_JAN_10_430_X_230_250_Y)
+    assert False
+
+
 @pytest.mark.mount
 @pytest.mark.parametrize("strict_fail_bool", (True, False))
 @pytest.mark.parametrize("manager", (HADsResamplerManager, CPMResamplerManager))
@@ -861,7 +921,7 @@ def test_execute_resample_configs(multiprocess: bool, tmp_path) -> None:
     resamplers: tuple[
         HADsResampler | CPMResampler, ...
     ] = test_config.execute_resample_configs(multiprocess=multiprocess)
-    export: Dataset = open_dataset(resamplers[0][0])
+    export: T_Dataset = open_dataset(resamplers[0][0])
     assert len(export.time) == 31
     assert not np.isnan(export.tasmax[0][200:300].values).all()
     assert (
@@ -893,7 +953,7 @@ def test_execute_resample_configs(multiprocess: bool, tmp_path) -> None:
 #         'tests/data/tasmax_rcp85_land-cpm_uk_2.2km_01_day_19821201-19831130.nc',
 #         crop_geom=glasgow_shape_file_path, invert=True)
 #     assert cropped.rio.bounds == result_bounds
-#     ts_to_crop: dict[Path, Dataset] = {}
+#     ts_to_crop: dict[Path, T_Dataset] = {}
 #     for path in ukcp_tasmax_raw_5_years_paths:
 #         assert path.exists()
 #         ts_to_crop[path] = open_dataset(path, decode_coords="all")

From 72d2770d17afc9a1b216ee502cd52ab1c051dc5f Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Wed, 29 May 2024 00:59:12 +0100
Subject: [PATCH 02/92] tests: fix `test_resample.py` import of
 `interpolate_coords`

---
 python/tests/test_resample.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 4a6ea309..356bc6d1 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -27,7 +27,6 @@
     HADsResampler,
     HADsResamplerManager,
     cpm_reproject_with_standard_calendar,
-    interpolate_coords,
 )
 from clim_recal.utils.core import (
     CLI_DATE_FORMAT_STR,
@@ -61,6 +60,7 @@
     file_name_to_start_end_dates,
     gdal_warp_wrapper,
     hads_resample_and_reproject,
+    interpolate_coords,
     plot_xarray,
     xarray_example,
 )

From 36647d5c0215286edb25e4152f9290a0d2d3c506 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Wed, 29 May 2024 09:54:57 +0100
Subject: [PATCH 03/92] test: add plotting in `test_hads_resample_reproject`
 backup local path

---
 python/conftest.py            | 26 ++++++++++++++++++++-----
 python/tests/test_resample.py | 36 +++++++++++++++++++++++++++++------
 2 files changed, 51 insertions(+), 11 deletions(-)

diff --git a/python/conftest.py b/python/conftest.py
index e6820d02..77865478 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -56,12 +56,13 @@
 CLIMATE_DATA_MOUNT_PATH_LINUX: Final[Path] = Path("/mnt/vmfileshare/ClimateData")
 CLIMATE_DATA_MOUNT_PATH_MACOS: Final[Path] = Path("/Volumes/vmfileshare/ClimateData")
 
-TEST_PATH: Final[Path] = Path().absolute()
-TEST_DATA_PATH: Final[Path] = TEST_PATH / "tests"
+TEST_RUN_PATH: Final[Path] = Path().absolute()
+TEST_FILE_PATH: Final[Path] = TEST_RUN_PATH / "tests"
 TEST_RESULTS_PATH: Final[Path] = results_path(
-    name="test-run-results", path=TEST_DATA_PATH, mkdir=True
+    name="test-run-results", path=TEST_FILE_PATH, mkdir=True
 )
 PYTHON_DIR_NAME: Final[Path] = Path("python")
+TEST_DATA_PATH: Final[Path] = TEST_FILE_PATH / "data"
 
 CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT: Final[tuple[str, ...]] = (
     "python",
@@ -224,8 +225,8 @@ def conda_lock_file_manager() -> CondaLockFileManager:
 
 @pytest.fixture
 def data_fixtures_path(tmp_path: Path) -> Iterator[Path]:
-    yield copytree(TEST_DATA_PATH, tmp_path / TEST_DATA_PATH.name)
-    rmtree(tmp_path / TEST_DATA_PATH.name)
+    yield copytree(TEST_FILE_PATH, tmp_path / TEST_FILE_PATH.name)
+    rmtree(tmp_path / TEST_FILE_PATH.name)
 
 
 @pytest.mark.mount
@@ -242,6 +243,21 @@ def test_runs_output_path(path=TEST_RESULTS_PATH) -> Iterator[Path]:
     rmtree(path, ignore_errors=True)
 
 
+@pytest.fixture(scope="session")
+def local_cache_path() -> Path:
+    return TEST_DATA_PATH
+
+
+@pytest.fixture(scope="session")
+def local_hads_cache_path(local_cache_path: Path) -> Path:
+    return local_cache_path / "hadsuk"
+
+
+@pytest.fixture(scope="session")
+def local_cpm_cache_path(local_cache_path: Path) -> Path:
+    return local_cache_path / "ukcp"
+
+
 @pytest.fixture
 def glasgow_epsg_27700_bounds() -> BoundsTupleType:
     """Boundaries of Glasgow in EPSG:27700 coords.
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 356bc6d1..87e4e63e 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -156,13 +156,18 @@
 def tasmax_cpm_1980_raw() -> T_Dataset:
     # Backup path if furture rehydration issues
     # return open_dataset("/Volumes/vmfileshare/ClimateData/Raw/UKCP2.2/tasmin/05/latest/tasmin_rcp85_land-cpm_uk_2.2km_05_day_19801201-19811130.nc", decode_coords="all")
+    # return open_dataset(local_cpm_cache_path / UKCP_RAW_TASMAX_1980_FILE, decode_coorda="all")
     return open_dataset(UKCP_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
 
 
 @pytest.mark.mount
 @pytest.fixture(scope="session")
-def tasmax_hads_1980_raw() -> T_Dataset:
-    return open_dataset(HADS_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
+def tasmax_hads_1980_raw(local_hads_cache_path) -> T_Dataset:
+    # return open_dataset(HADS_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
+    # Using below to manage issues with server mount
+    return open_dataset(
+        local_hads_cache_path / HADS_RAW_TASMAX_1980_FILE, decode_coords="all"
+    )
 
 
 @pytest.fixture(scope="session")
@@ -876,15 +881,34 @@ def test_hads_resample_and_reproject(
     tasmax_hads_1980_raw: T_Dataset,
 ) -> None:
     variable_name: str = "tasmax"
+    output_path: Path = Path("tests/runs/reample-hads")
+    # The the first index is the first time point of a month, in this case January
+    plot_xarray(
+        tasmax_hads_1980_raw[0],
+        path=output_path / "tasmas-1980-JAN-1-raw.png",
+        time_stamp=True,
+    )
+
+    assert tasmax_hads_1980_raw.dims["time"] == 31
+    assert tasmax_hads_1980_raw.dims["projection_x_coordinate"] == 900
+    assert tasmax_hads_1980_raw.dims["projection_y_coordinate"] == 1450
     reprojected: T_Dataset = hads_resample_and_reproject(
         tasmax_hads_1980_raw,
         variable_name=variable_name,
     )
-    plot_xarray(
-        reprojected, path="tests/runs/reample-hads/tasmas-1980.png", time_stamp=True
-    )
+    # The the first index is the first time point of a month, in this case January
+    plot_xarray(reprojected[0], path=output_path / "tasmas-1980.png", time_stamp=True)
     assert_allclose(reprojected[10][430][230:250], FINAL_HADS_JAN_10_430_X_230_250_Y)
-    assert False
+    assert reprojected.rio.crs.to_epsg() == int(BRITISH_NATIONAL_GRID_EPSG[5:])
+    export_netcdf_path: Path = results_path(
+        "tasmax-1980-converted", path=output_path, extension="nc"
+    )
+    reprojected.to_netcdf(export_netcdf_path)
+    read_from_export: T_Dataset = open_dataset(export_netcdf_path, decode_coords="all")
+    assert read_from_export.dims["time"] == 31
+    assert read_from_export.dims["lat"] == 651
+    assert read_from_export.dims["lon"] == 528
+    assert reprojected.rio.crs == read_from_export.rio.crs == BRITISH_NATIONAL_GRID_EPSG
 
 
 @pytest.mark.mount

From 8d5e6d4701e07fe25ea1d7ff6c17a34a8b0f3b54 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Wed, 29 May 2024 11:05:34 +0100
Subject: [PATCH 04/92] test: add comments to `test_hads_resample_reproject`

---
 python/tests/test_resample.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 87e4e63e..dec6b01a 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -906,8 +906,8 @@ def test_hads_resample_and_reproject(
     reprojected.to_netcdf(export_netcdf_path)
     read_from_export: T_Dataset = open_dataset(export_netcdf_path, decode_coords="all")
     assert read_from_export.dims["time"] == 31
-    assert read_from_export.dims["lat"] == 651
-    assert read_from_export.dims["lon"] == 528
+    assert read_from_export.dims["lon"] == 528  # replaces projection_x_coordinate
+    assert read_from_export.dims["lat"] == 651  # replaces projection_y_coordinate
     assert reprojected.rio.crs == read_from_export.rio.crs == BRITISH_NATIONAL_GRID_EPSG
 
 

From 3ed140b9c31b173a207b1b98d72de5dc9360e4a5 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Wed, 29 May 2024 13:32:32 +0100
Subject: [PATCH 05/92] feat(test): add
 `tasmax_hads_1980_raw_mount_or_local_cache` `fixture` to work if `mount`
 fails

---
 python/pyproject.toml         |  1 +
 python/tests/test_resample.py | 34 +++++++++++++++++++++++++++-------
 2 files changed, 28 insertions(+), 7 deletions(-)

diff --git a/python/pyproject.toml b/python/pyproject.toml
index d3d5f706..4c5e4985 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -97,4 +97,5 @@ markers = [
     "docker: requires running via docker jupyterlab.",
     "multiprocess: uses multiprocessing.",
     "darwin: requires darwin (macOS) operating system.",
+    "localcache: uses local copies of mount files.",
 ]
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index dec6b01a..a2310810 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -162,12 +162,28 @@ def tasmax_cpm_1980_raw() -> T_Dataset:
 
 @pytest.mark.mount
 @pytest.fixture(scope="session")
-def tasmax_hads_1980_raw(local_hads_cache_path) -> T_Dataset:
-    # return open_dataset(HADS_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
+def tasmax_hads_1980_raw() -> T_Dataset:
+    return open_dataset(HADS_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
     # Using below to manage issues with server mount
-    return open_dataset(
-        local_hads_cache_path / HADS_RAW_TASMAX_1980_FILE, decode_coords="all"
-    )
+    # return open_dataset(
+    #     local_hads_cache_path / HADS_RAW_TASMAX_1980_FILE, decode_coords="all"
+    # )
+
+
+@pytest.mark.localcache
+@pytest.fixture(scope="session", params=("mount", "localcache"))
+def tasmax_hads_1980_raw_mount_or_local_cache(
+    request: pytest.FixtureRequest, local_hads_cache_path
+) -> T_Dataset:
+    if request.param == "mount":
+        return open_dataset(HADS_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
+    # Using below to manage issues with server mount
+    elif request.param == "localcache":
+        return open_dataset(
+            local_hads_cache_path / HADS_RAW_TASMAX_1980_FILE, decode_coords="all"
+        )
+    else:
+        raise ValueError(f"only 'mount' and 'localcache' params are supported")
 
 
 @pytest.fixture(scope="session")
@@ -877,14 +893,18 @@ def test_interpolate_coords(
 
 
 @pytest.mark.mount
+@pytest.mark.parametrize(
+    "tasmax_hads_1980_raw_mount_or_local_cache", ("mount", "localcache"), indirect=True
+)
 def test_hads_resample_and_reproject(
-    tasmax_hads_1980_raw: T_Dataset,
+    tasmax_hads_1980_raw_mount_or_local_cache: T_Dataset,
 ) -> None:
     variable_name: str = "tasmax"
     output_path: Path = Path("tests/runs/reample-hads")
+    tasmax_hads_1980_raw = tasmax_hads_1980_raw_mount_or_local_cache
     # The the first index is the first time point of a month, in this case January
     plot_xarray(
-        tasmax_hads_1980_raw[0],
+        tasmax_hads_1980_raw.tasmax[0],
         path=output_path / "tasmas-1980-JAN-1-raw.png",
         time_stamp=True,
     )

From 8daf648a7cb0212a5d01ff9af3b3bb19312a4daf Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Wed, 29 May 2024 13:35:17 +0100
Subject: [PATCH 06/92] feat(test): set default `pytest` conf to exclude
 `localcache` `mark` tests

---
 python/pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/pyproject.toml b/python/pyproject.toml
index 4c5e4985..a192186c 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -77,7 +77,7 @@ addopts = """
     --ignore=clim_recal/debiasing/python-cmethods
     --ignore=clim_recal/debiasing/preprocess_data.py
     --ignore=clim_recal/debiasing/run_cmethods.py
-    -m "not server and not mount"
+    -m "not server and not mount and not localcache"
     --pdbcls=IPython.terminal.debugger:TerminalPdb
     --cov=clim_recal
     --cov-report=term:skip-covered

From 1acbc7e204a352b562af6efd5d0bf80cba0131fe Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Thu, 30 May 2024 02:30:09 +0100
Subject: [PATCH 07/92] fix: `interpolate_coords` conditional error prevented
 `rio.crs` config

---
 .conda-linux-64.lock              |   87 +-
 conda-lock.yml                    | 1391 +++++++++++++++--------------
 python/clim_recal/utils/xarray.py |   37 +-
 python/pdm.lock                   |   18 +-
 python/pyproject.toml             |    1 +
 python/tests/test_resample.py     |    4 +-
 6 files changed, 822 insertions(+), 716 deletions(-)

diff --git a/.conda-linux-64.lock b/.conda-linux-64.lock
index a02f0f76..387f8b64 100644
--- a/.conda-linux-64.lock
+++ b/.conda-linux-64.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 3f8bc1ed2ed3e8b1f9829aa120ca7daf89a0310c9099aeb5fabb4c7f2c1d4bbd
+# input_hash: fc1a2dad7b75533eecc939adf85e8193120dab7b74e221e0e3adb78dc0263375
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://repo.anaconda.com/pkgs/main/linux-64/blas-1.0-openblas.conda#9ddfcaef10d79366c90128f5dc444be8
@@ -20,7 +20,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libgomp-13.2.0-h77fa898_7.conda#
 https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d
 https://repo.anaconda.com/pkgs/main/noarch/fonts-conda-ecosystem-1-hd3eb1b0_0.conda#76790b62a799de73c4364f7cdc445583
 https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_7.conda#72ec1b1b04c4d15d4204ece1ecea5978
-https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.17-h4ab18f5_0.conda#97d60c6b52391872febd35fab0a30159
+https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.19-h4ab18f5_0.conda#c6dedd5eab2236f4abb59ade9fb7fd44
 https://repo.anaconda.com/pkgs/main/linux-64/bzip2-1.0.8-h5eee18b_6.conda#f21a3ff51c1b271977f53ce956a69297
 https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.28.1-hd590300_0.conda#dcde58ff9a1f30b0037a2315d1846d1f
 https://repo.anaconda.com/pkgs/main/linux-64/expat-2.6.2-h6a678d5_0.conda#55049db2772dae035f6b8a95f72b5970
@@ -31,7 +31,7 @@ https://conda.anaconda.org/conda-forge/linux-64/icu-73.2-h59595ed_0.conda#cc47e1
 https://conda.anaconda.org/conda-forge/linux-64/json-c-0.17-h7ab15ed_0.conda#9961b1f100c3b6852bd97c9233d06979
 https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz2#30186d27e2c9fa62b45fb1476b7200e3
 https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2#76bbff344f0134279f225174e9064c8f
-https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240116.2-cxx17_h59595ed_0.conda#682bdbe046a68f749769b492f3625c5c
+https://repo.anaconda.com/pkgs/main/linux-64/libabseil-20240116.2-cxx17_h6a678d5_0.conda#7abc574a536f223fe96be4fb7f4207bf
 https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda#5e97e271911b8b2001a8b71860c32faa
 https://repo.anaconda.com/pkgs/main/linux-64/libbrotlicommon-1.0.9-h5eee18b_8.conda#1e9edf233add622312356a40a7d0f8de
 https://repo.anaconda.com/pkgs/main/linux-64/libcrc32c-1.1.2-h6a678d5_0.conda#daf778296b4ada0649ecad5e5e320cd0
@@ -49,12 +49,12 @@ https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.4.0-hd590300_0.conda#b26e8aa824079e1be0294e7152ca4559
 https://repo.anaconda.com/pkgs/main/linux-64/libxcb-1.15-h7f8727e_0.conda#ada518dcadd6aaee9aae47ba9a671553
 https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc
-https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-hd590300_5.conda#f36c115f1ee199da648e0597ec2047ad
+https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-h4ab18f5_6.conda#27329162c0dc732bcf67a4e0cd488125
 https://repo.anaconda.com/pkgs/main/linux-64/lz4-c-1.9.4-h6a678d5_1.conda#2ee58861f2b92b868ce761abb831819d
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@@ -253,7 +254,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/dbus-1.13.18-hb2f20db_0.conda#6a6a6
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+https://conda.anaconda.org/conda-forge/linux-64/geotiff-1.7.3-h928be8b_0.conda#c0f2468661b7cae54a7a1ff11926e372
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@@ -261,13 +262,13 @@ https://repo.anaconda.com/pkgs/main/linux-64/importlib-metadata-7.0.1-py312h06a4
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-https://repo.anaconda.com/pkgs/main/linux-64/jinja2-3.1.3-py312h06a4308_0.conda#744b2dc3144f19bd648eaaff4c81c243
+https://repo.anaconda.com/pkgs/main/linux-64/jinja2-3.1.4-py312h06a4308_0.conda#aee50a77b632c39ab72bffc8017d19be
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@@ -278,19 +279,18 @@ https://conda.anaconda.org/conda-forge/linux-64/poppler-24.04.0-hb6cd0d7_0.conda
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-https://repo.anaconda.com/pkgs/main/linux-64/python-dateutil-2.9.0post0-py312h06a4308_0.conda#b5fa4f861d9af1401d91684e34519b33
+https://repo.anaconda.com/pkgs/main/linux-64/python-dateutil-2.9.0post0-py312h06a4308_2.conda#06c8706a892aaaae74325c0b46c86d01
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+https://conda.anaconda.org/conda-forge/linux-64/watchdog-4.0.1-py312h7900ff3_0.conda#7cc94a3b5e9698eecc2c39dbf7a173db
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+https://conda.anaconda.org/conda-forge/linux-64/aws-crt-cpp-0.26.9-he3a8b3b_0.conda#fbe6a256dd70a505730e7c461cd37a35
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@@ -298,7 +298,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/cftime-1.6.2-py312ha883a20_1.conda#
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-https://conda.anaconda.org/conda-forge/noarch/griffe-0.45.1-pyhd8ed1ab_0.conda#a8f62d757614919f73fd3f872b91a022
+https://conda.anaconda.org/conda-forge/noarch/griffe-0.45.2-pyhd8ed1ab_0.conda#409a74bc6c127c7a623777547d03d587
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@@ -317,7 +317,7 @@ https://repo.anaconda.com/pkgs/main/noarch/snuggs-1.4.7-pyhd3eb1b0_0.conda#f84b8
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@@ -337,31 +337,32 @@ https://repo.anaconda.com/pkgs/main/linux-64/keyring-24.3.1-py312h06a4308_0.cond
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+https://conda.anaconda.org/conda-forge/noarch/seaborn-base-0.13.2-pyhd8ed1ab_2.conda#b713b116feaf98acdba93ad4d7f90ca1
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diff --git a/conda-lock.yml b/conda-lock.yml
index 5064ebfc..691e7224 100644
--- a/conda-lock.yml
+++ b/conda-lock.yml
@@ -15,9 +15,9 @@
 version: 1
 metadata:
   content_hash:
-    osx-arm64: 4807da782f2b981113d749e40dbb7e9aa87c84421194727476a886509cac61c7
-    linux-64: 3f8bc1ed2ed3e8b1f9829aa120ca7daf89a0310c9099aeb5fabb4c7f2c1d4bbd
-    linux-aarch64: 9c6e30385696e11a3578b1352e270e0b706bdcb7dff66a622d03ca384c859b61
+    osx-arm64: 9d63316589f3dd984544e62a4e75390fcd4255abf4a16dd5f40259931f3c8c33
+    linux-64: fc1a2dad7b75533eecc939adf85e8193120dab7b74e221e0e3adb78dc0263375
+    linux-aarch64: ad83d114512697bc85313bf884872a426d7006d8f0de105ba5697733be34e9fb
   channels:
   - url: r
     used_env_vars: []
@@ -477,131 +477,131 @@ package:
   category: main
   optional: false
 - name: aws-c-auth
-  version: 0.7.20
+  version: 0.7.22
   manager: conda
   platform: linux-64
   dependencies:
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-    aws-c-common: '>=0.9.17,<0.9.18.0a0'
+    aws-c-cal: '>=0.6.14,<0.6.15.0a0'
+    aws-c-common: '>=0.9.19,<0.9.20.0a0'
     aws-c-http: '>=0.8.1,<0.8.2.0a0'
     aws-c-io: '>=0.14.8,<0.14.9.0a0'
     aws-c-sdkutils: '>=0.1.16,<0.1.17.0a0'
     libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.7.20-h5f1c8d9_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.7.22-h96bc93b_2.conda
   hash:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libspatialite-5.1.0-h77c30ab_5.conda
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@@ -8166,7 +8175,7 @@ package:
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-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.2.13-h31becfc_5.conda
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-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/openssl-3.3.0-h31becfc_0.conda
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 - name: openssl
@@ -9724,11 +9734,12 @@ package:
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     ca-certificates: ''
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/openssl-3.3.0-h0d3ecfb_0.conda
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+    sha256: 7a5e727b2ee384f5d78596c808ef9fc147a0f3ceedb39dc42b2531d52df2e0d4
   category: dev
   optional: true
 - name: sphobjinv
-  version: 2.3.1
+  version: 2.3.1.1
   manager: conda
   platform: linux-aarch64
   dependencies:
     attrs: '>=19.2'
     certifi: ''
     jsonschema: '>=3.0'
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphobjinv-2.3.1-pyhd8ed1ab_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/sphobjinv-2.3.1.1-pyhd8ed1ab_0.conda
   hash:
-    md5: acdf6eee61eef569196651bf644d1b23
-    sha256: 38dfa70c707e35b93cff2a79043c01c2fa0c0ed5cda37ae2abdad047d6721567
+    md5: 3503896d50f4e463bb86c77bab85ce07
+    sha256: 7a5e727b2ee384f5d78596c808ef9fc147a0f3ceedb39dc42b2531d52df2e0d4
   category: dev
   optional: true
 - name: sphobjinv
-  version: 2.3.1
+  version: 2.3.1.1
   manager: conda
   platform: osx-arm64
   dependencies:
     attrs: '>=19.2'
     certifi: ''
     jsonschema: '>=3.0'
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphobjinv-2.3.1-pyhd8ed1ab_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/sphobjinv-2.3.1.1-pyhd8ed1ab_0.conda
   hash:
-    md5: acdf6eee61eef569196651bf644d1b23
-    sha256: 38dfa70c707e35b93cff2a79043c01c2fa0c0ed5cda37ae2abdad047d6721567
+    md5: 3503896d50f4e463bb86c77bab85ce07
+    sha256: 7a5e727b2ee384f5d78596c808ef9fc147a0f3ceedb39dc42b2531d52df2e0d4
   category: dev
   optional: true
 - name: sqlite
@@ -13595,8 +13655,8 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    aws-crt-cpp: '>=0.26.8,<0.26.9.0a0'
-    aws-sdk-cpp: '>=1.11.267,<1.11.268.0a0'
+    aws-crt-cpp: '>=0.26.9,<0.26.10.0a0'
+    aws-sdk-cpp: '>=1.11.329,<1.11.330.0a0'
     azure-core-cpp: '>=1.11.1,<1.11.2.0a0'
     azure-identity-cpp: '>=1.6.0,<1.6.1.0a0'
     azure-storage-blobs-cpp: '>=12.10.0,<12.10.1.0a0'
@@ -13604,21 +13664,21 @@ package:
     bzip2: '>=1.0.8,<2.0a0'
     fmt: '>=10.2.1,<11.0a0'
     libabseil: '>=20240116.2,<20240117.0a0'
-    libcurl: '>=8.7.1,<9.0a0'
+    libcurl: '>=8.8.0,<9.0a0'
     libgcc-ng: '>=12'
-    libgoogle-cloud: '>=2.23.0,<2.24.0a0'
-    libgoogle-cloud-storage: '>=2.23.0,<2.24.0a0'
+    libgoogle-cloud: '>=2.24.0,<2.25.0a0'
+    libgoogle-cloud-storage: '>=2.24.0,<2.25.0a0'
     libstdcxx-ng: '>=12'
     libwebp-base: '>=1.4.0,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     lz4-c: '>=1.9.3,<1.10.0a0'
     openssl: '>=3.3.0,<4.0a0'
     spdlog: '>=1.13.0,<1.14.0a0'
     zstd: '>=1.5.6,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/tiledb-2.23.0-h27f064a_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/tiledb-2.23.0-hfa691db_2.conda
   hash:
-    md5: 8a4a8fd1af3cfbdcb54ea7282965d91a
-    sha256: 6685f95a9a9f801cda5cc0848d5afa1fca4395a8cb4fb47ae6c3222c76d6cbfb
+    md5: f9cd15d6c7deeeb5b60d65fac59b18bc
+    sha256: ff6cf1bb8e28f2cb04eaeec07166d97f415e003eecd70c23e531b73403a956f8
   category: main
   optional: false
 - name: tiledb
@@ -13626,8 +13686,8 @@ package:
   manager: conda
   platform: linux-aarch64
   dependencies:
-    aws-crt-cpp: '>=0.26.8,<0.26.9.0a0'
-    aws-sdk-cpp: '>=1.11.267,<1.11.268.0a0'
+    aws-crt-cpp: '>=0.26.9,<0.26.10.0a0'
+    aws-sdk-cpp: '>=1.11.329,<1.11.330.0a0'
     azure-core-cpp: '>=1.11.1,<1.11.2.0a0'
     azure-identity-cpp: '>=1.6.0,<1.6.1.0a0'
     azure-storage-blobs-cpp: '>=12.10.0,<12.10.1.0a0'
@@ -13635,21 +13695,21 @@ package:
     bzip2: '>=1.0.8,<2.0a0'
     fmt: '>=10.2.1,<11.0a0'
     libabseil: '>=20240116.2,<20240117.0a0'
-    libcurl: '>=8.7.1,<9.0a0'
+    libcurl: '>=8.8.0,<9.0a0'
     libgcc-ng: '>=12'
-    libgoogle-cloud: '>=2.23.0,<2.24.0a0'
-    libgoogle-cloud-storage: '>=2.23.0,<2.24.0a0'
+    libgoogle-cloud: '>=2.24.0,<2.25.0a0'
+    libgoogle-cloud-storage: '>=2.24.0,<2.25.0a0'
     libstdcxx-ng: '>=12'
     libwebp-base: '>=1.4.0,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     lz4-c: '>=1.9.3,<1.10.0a0'
     openssl: '>=3.3.0,<4.0a0'
     spdlog: '>=1.13.0,<1.14.0a0'
     zstd: '>=1.5.6,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/tiledb-2.23.0-hdb39961_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/tiledb-2.23.0-h58f92de_2.conda
   hash:
-    md5: e8f7396b9bf798b876da1ea45c06a2eb
-    sha256: a41c548b7bbd8bfe6eab76b047bed2dbd36e0b3232050e0f3dd3da5a67f22e38
+    md5: 2849e9e572004516705478e0e32c7ddd
+    sha256: 1dd866d31f3938c1efce7c2bd30d894b8d1d2b36dafd8b0ff096d03df2fde015
   category: main
   optional: false
 - name: tiledb
@@ -13658,8 +13718,8 @@ package:
   platform: osx-arm64
   dependencies:
     __osx: '>=11.0'
-    aws-crt-cpp: '>=0.26.8,<0.26.9.0a0'
-    aws-sdk-cpp: '>=1.11.267,<1.11.268.0a0'
+    aws-crt-cpp: '>=0.26.9,<0.26.10.0a0'
+    aws-sdk-cpp: '>=1.11.329,<1.11.330.0a0'
     azure-core-cpp: '>=1.11.1,<1.11.2.0a0'
     azure-identity-cpp: '>=1.6.0,<1.6.1.0a0'
     azure-storage-blobs-cpp: '>=12.10.0,<12.10.1.0a0'
@@ -13667,20 +13727,20 @@ package:
     bzip2: '>=1.0.8,<2.0a0'
     fmt: '>=10.2.1,<11.0a0'
     libabseil: '>=20240116.2,<20240117.0a0'
-    libcurl: '>=8.7.1,<9.0a0'
+    libcurl: '>=8.8.0,<9.0a0'
     libcxx: '>=16'
-    libgoogle-cloud: '>=2.23.0,<2.24.0a0'
-    libgoogle-cloud-storage: '>=2.23.0,<2.24.0a0'
+    libgoogle-cloud: '>=2.24.0,<2.25.0a0'
+    libgoogle-cloud-storage: '>=2.24.0,<2.25.0a0'
     libwebp-base: '>=1.4.0,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     lz4-c: '>=1.9.3,<1.10.0a0'
     openssl: '>=3.3.0,<4.0a0'
     spdlog: '>=1.13.0,<1.14.0a0'
     zstd: '>=1.5.6,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/tiledb-2.23.0-ha902843_0.conda
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/tiledb-2.23.0-h6a2131e_2.conda
   hash:
-    md5: ea782b5a5bffd6e1529c2a7982e6feec
-    sha256: 247de5121a6cf24082eb759e9d1f79c13ff5efd3fd1eb02c3fd6bc590ca765df
+    md5: a193de9a1a7b10ea36add60c67dcfce2
+    sha256: 4f9a720487173ae29f26147df6f8f8030cc91e430e79be8dca7198b93a2460d2
   category: main
   optional: false
 - name: tinycss2
@@ -13947,12 +14007,11 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    colorama: ''
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/tqdm-4.66.4-pyhd8ed1ab_0.conda
+    python: '>=3.12,<3.13.0a0'
+  url: https://repo.anaconda.com/pkgs/main/linux-64/tqdm-4.66.4-py312he106c6f_0.conda
   hash:
-    md5: e74cd796e70a4261f86699ee0a3a7a24
-    sha256: 75342f40a69e434a1a23003c3e254a95dca695fb14955bc32f1819cd503964b2
+    md5: 11d1cee87830bbb013896a43f47eafa9
+    sha256: 068de63ad220413d320022cc5bce27c643d7c7e5a3a2086efc7251008bf2fbc3
   category: main
   optional: false
 - name: tqdm
@@ -13960,12 +14019,11 @@ package:
   manager: conda
   platform: linux-aarch64
   dependencies:
-    colorama: ''
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/tqdm-4.66.4-pyhd8ed1ab_0.conda
+    python: '>=3.12,<3.13.0a0'
+  url: https://repo.anaconda.com/pkgs/main/linux-aarch64/tqdm-4.66.4-py312h42ac6d5_0.conda
   hash:
-    md5: e74cd796e70a4261f86699ee0a3a7a24
-    sha256: 75342f40a69e434a1a23003c3e254a95dca695fb14955bc32f1819cd503964b2
+    md5: 0473bb81fdf24f8fca59e8ac4c444336
+    sha256: fcec28bb105e985fd8977df1c132f535d2654572b6b9f315d6877e103529d461
   category: main
   optional: false
 - name: tqdm
@@ -13973,12 +14031,11 @@ package:
   manager: conda
   platform: osx-arm64
   dependencies:
-    colorama: ''
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/tqdm-4.66.4-pyhd8ed1ab_0.conda
+    python: '>=3.12,<3.13.0a0'
+  url: https://repo.anaconda.com/pkgs/main/osx-arm64/tqdm-4.66.4-py312h989b03a_0.conda
   hash:
-    md5: e74cd796e70a4261f86699ee0a3a7a24
-    sha256: 75342f40a69e434a1a23003c3e254a95dca695fb14955bc32f1819cd503964b2
+    md5: 05c65c61a76907878d041b83f5f2bc70
+    sha256: 876a20ba3b50ee2ec41fc62ff9eb7f812299e70680700835a73aa53a394501ac
   category: main
   optional: false
 - name: traitlets
@@ -14585,45 +14642,46 @@ package:
   category: main
   optional: false
 - name: watchdog
-  version: 4.0.0
+  version: 4.0.1
   manager: conda
   platform: linux-64
   dependencies:
     python: '>=3.12,<3.13.0a0'
     python_abi: 3.12.*
     pyyaml: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/linux-64/watchdog-4.0.0-py312h7900ff3_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/watchdog-4.0.1-py312h7900ff3_0.conda
   hash:
-    md5: 1b87b82dd803565550e6358c0790f3d2
-    sha256: db3ef9753934826c008216b198f04a6637150e1d91d72733148c0822e4a042a2
+    md5: 7cc94a3b5e9698eecc2c39dbf7a173db
+    sha256: c4786da0c938a65cea07e2bb3fe76dbeed6968c322994c66395176307cf78425
   category: dev
   optional: true
 - name: watchdog
-  version: 4.0.0
+  version: 4.0.1
   manager: conda
   platform: linux-aarch64
   dependencies:
     python: '>=3.12,<3.13.0a0'
     python_abi: 3.12.*
     pyyaml: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/watchdog-4.0.0-py312h8025657_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/watchdog-4.0.1-py312h8025657_0.conda
   hash:
-    md5: f8f6a4d3ce5671474d13a9354cc8ce49
-    sha256: d58e635548e4072b1a126e5d1d7548b33c4c2ff85bc8e9055f7c51202b66b4ac
+    md5: 106b4351ca616d0b0ad465dd2ae7fdab
+    sha256: 011a732e9abf46a9351edf2e0a57dc88ca51dd1e8caf32a96aa57ce13e964027
   category: dev
   optional: true
 - name: watchdog
-  version: 4.0.0
+  version: 4.0.1
   manager: conda
   platform: osx-arm64
   dependencies:
+    __osx: '>=11.0'
     python: '>=3.12,<3.13.0a0'
     python_abi: 3.12.*
     pyyaml: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/watchdog-4.0.0-py312he37b823_0.conda
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/watchdog-4.0.1-py312h7e5086c_0.conda
   hash:
-    md5: c483c04540c229b50564201c5432667c
-    sha256: 3e7486e161e4478a1bb63cb124a446b21b0af113458522d215ba76eebb1a473a
+    md5: ce33cf6a4a69aa2beb93c8f7258bfe55
+    sha256: f018376037c19c38e5b55602d09653106cc4fada7db3f02f871cee7be6befcd6
   category: dev
   optional: true
 - name: wcwidth
@@ -15273,10 +15331,10 @@ package:
   dependencies:
     libgcc-ng: '>=12'
     libzlib: 1.2.13
-  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.13-hd590300_5.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.13-h4ab18f5_6.conda
   hash:
-    md5: 68c34ec6149623be41a1933ab996a209
-    sha256: 9887a04d7e7cb14bd2b52fa01858f05a6d7f002c890f618d9fcd864adbfecb1b
+    md5: 559d338a4234c2ad6e676f460a093e67
+    sha256: 534824ea44939f3e59ca8ebb95e3ece6f50f9d2a0e69999fbc692311252ed6ac
   category: main
   optional: false
 - name: zlib
@@ -15286,10 +15344,10 @@ package:
   dependencies:
     libgcc-ng: '>=12'
     libzlib: 1.2.13
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/zlib-1.2.13-h31becfc_5.conda
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/zlib-1.2.13-h68df207_6.conda
   hash:
-    md5: 96866c7301479abaf8308c50958c71a4
-    sha256: aa3e9d46b13d1959faf634f03d929d7dec950dc1b84a8ff109f7f0e3f364b562
+    md5: 11012f81be8e7dae8495df7ec17c0cc5
+    sha256: 67d2e05bb76308ad2e6d8bd27d54e5f8d866d7900826a13f22b66ecacce02fed
   category: main
   optional: false
 - name: zlib
@@ -15297,11 +15355,12 @@ package:
   manager: conda
   platform: osx-arm64
   dependencies:
+    __osx: '>=11.0'
     libzlib: 1.2.13
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.2.13-h53f4e23_5.conda
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.2.13-hfb2fe0b_6.conda
   hash:
-    md5: a08383f223b10b71492d27566fafbf6c
-    sha256: de0ee1e24aa6867058d3b852a15c8d7f49f262f5828772700c647186d4a96bbe
+    md5: 88cf27df3eff5813734b538461f4c8cf
+    sha256: c09c9cb6de86d87b9267a6331c74cc8fb05bae5ee7749070a5e8883c3eff5424
   category: main
   optional: false
 - name: zstd
@@ -15311,7 +15370,7 @@ package:
   dependencies:
     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
   hash:
     md5: 4d056880988120e29d75bfff282e0f45
@@ -15325,7 +15384,7 @@ package:
   dependencies:
     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-aarch64/zstd-1.5.6-h02f22dd_0.conda
   hash:
     md5: be8d5f8cf21aed237b8b182ea86b3dd6
@@ -15338,7 +15397,7 @@ package:
   platform: osx-arm64
   dependencies:
     __osx: '>=11.0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.6-hb46c0d2_0.conda
   hash:
     md5: d96942c06c3e84bfcc5efb038724a7fd
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index b0ececf6..680bc6a7 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -94,6 +94,32 @@
 XARRAY_EXAMPLE_END_DATE_4_YEARS: Final[str] = "1984-11-30"
 
 
+@dataclass
+class CityCoords:
+    name: str
+    xmin: float
+    xmax: float
+    ymin: float
+    ymax: float
+    epsg: int = int(BRITISH_NATIONAL_GRID_EPSG[5:])
+
+    def as_tuple(self) -> tuple[float, float, float, float]:
+        """Return in `xmin`, `xmax`, `ymin`, `ymax` order."""
+        return self.xmin, self.xmax, self.ymin, self.ymax
+
+
+GlasgowCoords: Final[CityCoords] = CityCoords(
+    "Glasgow", 249799.999600002, 269234.9996, 657761.472000003, 672330.696800007
+)
+
+LondonCoords: Final[CityCoords] = CityCoords(
+    "London", 503568.1996, 561957.4961, 155850.7974, 200933.9025
+)
+ManchesterCoords: Final[CityCoords] = CityCoords(
+    "Manchester", 380399.997, 393249.999, 389349.999, 405300.003
+)
+
+
 GLASGOW_GEOM_LOCAL_PATH: Final[Path] = Path(
     "shapefiles/three.cities/Glasgow/Glasgow.shp"
 )
@@ -408,6 +434,7 @@ def interpolate_coords(
     reference_coords: T_Dataset | PathLike = DEFAULT_RELATIVE_GRID_DATA_PATH,
     method: str = "linear",
     engine: XArrayEngineType = NETCDF4_XARRAY_ENGINE,
+    use_reference_grid: bool = True,
     **kwargs,
 ) -> T_Dataset:
     """Reproject `xr_time_series` to `x_resolution`/`y_resolution`.
@@ -428,7 +455,8 @@ def interpolate_coords(
     except:
         ValueError(f"'xr_time_series' must be an 'xr.Dataset' instance.")
 
-    if x_grid is None or y_grid is None:
+    if use_reference_grid or (x_grid is None or y_grid is None):
+        use_reference_grid = True
         try:
             assert x_grid is None and y_grid is None
         except:
@@ -475,7 +503,7 @@ def interpolate_coords(
         method=method, **kwargs
     )
     # Ensure original `rio.crs` is kept in returned `Dataset`
-    if x_grid is None and y_grid is None:
+    if use_reference_grid:
         reprojected.rio.write_crs(reference_coords.rio.crs, inplace=True)
     else:
         reprojected.rio.write_crs(xr_time_series.rio.crs, inplace=True)
@@ -490,8 +518,8 @@ def hads_resample_and_reproject(
     method: str = "linear",
     source_x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
     source_y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
-    final_x_coord_column_name: str = "lon",
-    final_y_coord_column_name: str = "lat",
+    final_x_coord_column_name: str = "x",
+    final_y_coord_column_name: str = "y",
     final_crs: str | None = BRITISH_NATIONAL_GRID_EPSG,
     vars_to_drop: Sequence[str] | None = HADS_DROP_VARS_AFTER_PROJECTION,
 ) -> T_Dataset:
@@ -510,6 +538,7 @@ def hads_resample_and_reproject(
     )
     if vars_to_drop:
         interpolated_hads = interpolated_hads.drop_vars(vars_to_drop)
+
     interpolated_hads = interpolated_hads.rename(
         {
             source_x_coord_column_name: final_x_coord_column_name,
diff --git a/python/pdm.lock b/python/pdm.lock
index 8f878af9..a7480f80 100644
--- a/python/pdm.lock
+++ b/python/pdm.lock
@@ -5,7 +5,7 @@
 groups = ["default", "dev"]
 strategy = ["cross_platform", "inherit_metadata"]
 lock_version = "4.4.1"
-content_hash = "sha256:e16ddaa6a94f3b279112089e7a38addc0cfe7a1cc7f48fc23deb078c4e3b59cb"
+content_hash = "sha256:bcc175d83c3ba888da4211def99cede8eecc624e36e5006b2ae99f3157361056"
 
 [[package]]
 name = "affine"
@@ -2718,6 +2718,22 @@ files = [
     {file = "scipy-1.13.0.tar.gz", hash = "sha256:58569af537ea29d3f78e5abd18398459f195546bb3be23d16677fb26616cc11e"},
 ]
 
+[[package]]
+name = "seaborn"
+version = "0.13.2"
+requires_python = ">=3.8"
+summary = "Statistical data visualization"
+groups = ["default"]
+dependencies = [
+    "matplotlib!=3.6.1,>=3.4",
+    "numpy!=1.24.0,>=1.20",
+    "pandas>=1.2",
+]
+files = [
+    {file = "seaborn-0.13.2-py3-none-any.whl", hash = "sha256:636f8336facf092165e27924f223d3c62ca560b1f2bb5dff7ab7fad265361987"},
+    {file = "seaborn-0.13.2.tar.gz", hash = "sha256:93e60a40988f4d65e9f4885df477e2fdaff6b73a9ded434c1ab356dd57eefff7"},
+]
+
 [[package]]
 name = "secretstorage"
 version = "3.3.3"
diff --git a/python/pyproject.toml b/python/pyproject.toml
index a192186c..237eece9 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -36,6 +36,7 @@ dependencies = [
     "netcdf4>=1.6.5",
     "pdm>=2.12.4",
     "typer>=0.12.3",
+    "seaborn>=0.13.2",
 ]
 
 [project.scripts]
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index a2310810..469af4fa 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -902,7 +902,7 @@ def test_hads_resample_and_reproject(
     variable_name: str = "tasmax"
     output_path: Path = Path("tests/runs/reample-hads")
     tasmax_hads_1980_raw = tasmax_hads_1980_raw_mount_or_local_cache
-    # The the first index is the first time point of a month, in this case January
+    # First index is for month, in this case January 1980
     plot_xarray(
         tasmax_hads_1980_raw.tasmax[0],
         path=output_path / "tasmas-1980-JAN-1-raw.png",
@@ -916,7 +916,7 @@ def test_hads_resample_and_reproject(
         tasmax_hads_1980_raw,
         variable_name=variable_name,
     )
-    # The the first index is the first time point of a month, in this case January
+
     plot_xarray(reprojected[0], path=output_path / "tasmas-1980.png", time_stamp=True)
     assert_allclose(reprojected[10][430][230:250], FINAL_HADS_JAN_10_430_X_230_250_Y)
     assert reprojected.rio.crs.to_epsg() == int(BRITISH_NATIONAL_GRID_EPSG[5:])

From ebdccf5cd395ccdbf5c07cfbb7e798b1b3ffc040 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Thu, 30 May 2024 09:20:57 +0100
Subject: [PATCH 08/92] fix: switch `FINAL_RESAMLE_LAT_COL` / `LON` and
 `HADsResampler` params

---
 python/clim_recal/resample.py     |  8 ++++----
 python/clim_recal/utils/xarray.py | 10 ++++++----
 python/conftest.py                |  2 --
 python/tests/test_resample.py     | 22 ++++++++++++++--------
 4 files changed, 24 insertions(+), 18 deletions(-)

diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index 20394876..51902a28 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -391,8 +391,8 @@ def to_reprojection(
             variable_name=self.variable_name,
             x_grid=self.x,
             y_grid=self.y,
-            xr_time_series_x_column_name=self.input_file_x_column_name,
-            xr_time_series_y_column_name=self.input_file_y_column_name,
+            x_coord_column_name=self.input_file_x_column_name,
+            y_coord_column_name=self.input_file_y_column_name,
             new_path_name_func=reproject_2_2km_filename,
             return_results=return_results,
         )
@@ -487,8 +487,8 @@ def to_reprojection(
             variable_name=self.cpm_variable_name,
             # x_grid=self.x,
             # y_grid=self.y,
-            # xr_time_series_x_column_name=self.input_file_x_column_name,
-            # xr_time_series_y_column_name=self.input_file_y_column_name,
+            # x_coord_column_name=self.input_file_x_column_name,
+            # y_coord_column_name=self.input_file_y_column_name,
             return_results=return_results,
         )
 
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 680bc6a7..0f5d08d3 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -152,8 +152,10 @@ def as_tuple(self) -> tuple[float, float, float, float]:
 HADS_DROP_VARS_AFTER_PROJECTION: Final[tuple[str, ...]] = ("longitude", "latitude")
 
 # TODO: CHECK IF I GOT THESE BACKWARDS
-FINAL_RESAMPLE_LAT_COL: Final[str] = "x"
-FINAL_RESAMPLE_LON_COL: Final[str] = "y"
+# FINAL_RESAMPLE_LAT_COL: Final[str] = "x"
+# FINAL_RESAMPLE_LON_COL: Final[str] = "y"
+FINAL_RESAMPLE_LON_COL: Final[str] = "x"
+FINAL_RESAMPLE_LAT_COL: Final[str] = "y"
 
 
 def cpm_xarray_to_standard_calendar(
@@ -518,8 +520,8 @@ def hads_resample_and_reproject(
     method: str = "linear",
     source_x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
     source_y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
-    final_x_coord_column_name: str = "x",
-    final_y_coord_column_name: str = "y",
+    final_x_coord_column_name: str = FINAL_RESAMPLE_LON_COL,
+    final_y_coord_column_name: str = FINAL_RESAMPLE_LAT_COL,
     final_crs: str | None = BRITISH_NATIONAL_GRID_EPSG,
     vars_to_drop: Sequence[str] | None = HADS_DROP_VARS_AFTER_PROJECTION,
 ) -> T_Dataset:
diff --git a/python/conftest.py b/python/conftest.py
index 77865478..fe8fe20e 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -229,7 +229,6 @@ def data_fixtures_path(tmp_path: Path) -> Iterator[Path]:
     rmtree(tmp_path / TEST_FILE_PATH.name)
 
 
-@pytest.mark.mount
 @pytest.fixture
 def glasgow_shape_file_path(data_fixtures_path: Path) -> Path:
     return data_fixtures_path / Path(*GLASGOW_GEOM_LOCAL_PATH.parts[-2:])
@@ -287,7 +286,6 @@ def uk_rotated_grid_bounds() -> BoundsTupleType:
 
 
 # Note: it may be worth setting this to cache for session runs
-@pytest.mark.mount
 @pytest.fixture
 def clim_runner(tmp_path) -> ClimRecalConfig:
     """Return default `ClimRecalConfig`."""
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 469af4fa..34e34340 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -50,6 +50,8 @@
     CPM_LOCAL_INTERMEDIATE_PATH,
     FINAL_RESAMPLE_LAT_COL,
     FINAL_RESAMPLE_LON_COL,
+    HADS_RAW_X_COLUMN_NAME,
+    HADS_RAW_Y_COLUMN_NAME,
     NETCDF4_XARRAY_ENGINE,
     BoundsTupleType,
     ConvertCalendarAlignOptions,
@@ -870,8 +872,8 @@ def test_interpolate_coords(
     if data_type == "hads":
         reprojected_xr_time_series = interpolate_coords(
             tasmax_hads_1980_raw,
-            xr_time_series_x_column_name=HADS_XDIM,
-            xr_time_series_y_column_name=HADS_YDIM,
+            x_coord_column_name=HADS_XDIM,
+            y_coord_column_name=HADS_YDIM,
             **kwargs,
         )
         assert reprojected_xr_time_series.dims["time"] == 31
@@ -882,8 +884,8 @@ def test_interpolate_coords(
         # We are now using gdal_warp_wrapper. See test_cpm_warp_steps
         reprojected_xr_time_series = interpolate_coords(
             tasmax_cpm_1980_raw,
-            xr_time_series_x_column_name=CPRUK_XDIM,
-            xr_time_series_y_column_name=CPRUK_YDIM,
+            x_coord_column_name=CPRUK_XDIM,
+            y_coord_column_name=CPRUK_YDIM,
             **kwargs,
         )
         # Note: this test is to a raw file without 365 day projection
@@ -910,8 +912,8 @@ def test_hads_resample_and_reproject(
     )
 
     assert tasmax_hads_1980_raw.dims["time"] == 31
-    assert tasmax_hads_1980_raw.dims["projection_x_coordinate"] == 900
-    assert tasmax_hads_1980_raw.dims["projection_y_coordinate"] == 1450
+    assert tasmax_hads_1980_raw.dims[HADS_RAW_X_COLUMN_NAME] == 900
+    assert tasmax_hads_1980_raw.dims[HADS_RAW_Y_COLUMN_NAME] == 1450
     reprojected: T_Dataset = hads_resample_and_reproject(
         tasmax_hads_1980_raw,
         variable_name=variable_name,
@@ -926,8 +928,12 @@ def test_hads_resample_and_reproject(
     reprojected.to_netcdf(export_netcdf_path)
     read_from_export: T_Dataset = open_dataset(export_netcdf_path, decode_coords="all")
     assert read_from_export.dims["time"] == 31
-    assert read_from_export.dims["lon"] == 528  # replaces projection_x_coordinate
-    assert read_from_export.dims["lat"] == 651  # replaces projection_y_coordinate
+    assert (
+        read_from_export.dims[FINAL_RESAMPLE_LON_COL] == 528
+    )  # replaces projection_x_coordinate
+    assert (
+        read_from_export.dims[FINAL_RESAMPLE_LAT_COL] == 651
+    )  # replaces projection_y_coordinate
     assert reprojected.rio.crs == read_from_export.rio.crs == BRITISH_NATIONAL_GRID_EPSG
 
 

From 7578af19fd661e9f07301fdb585628ae640bcf9a Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sat, 1 Jun 2024 14:29:41 +0100
Subject: [PATCH 09/92] fix(test): fix `cftime_range_gen` regression, update
 tests, improve plot and `pickling`

---
 .conda-linux-64.lock              |   7 +-
 conda-lock.yml                    | 118 +++++++++++++++++++-----------
 python/clim_recal/resample.py     |   8 +-
 python/clim_recal/utils/xarray.py |  47 +++++++-----
 python/pdm.lock                   |  13 +++-
 python/pyproject.toml             |   1 +
 python/tests/test_pipeline.py     |   7 +-
 python/tests/test_resample.py     |  71 ++++++++++++++----
 8 files changed, 186 insertions(+), 86 deletions(-)

diff --git a/.conda-linux-64.lock b/.conda-linux-64.lock
index 387f8b64..079fc5ec 100644
--- a/.conda-linux-64.lock
+++ b/.conda-linux-64.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: fc1a2dad7b75533eecc939adf85e8193120dab7b74e221e0e3adb78dc0263375
+# input_hash: 11beb7914787d1501787a8c8808a03235a67f9bd485168bbba543e06508fbba6
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://repo.anaconda.com/pkgs/main/linux-64/blas-1.0-openblas.conda#9ddfcaef10d79366c90128f5dc444be8
@@ -150,6 +150,7 @@ https://repo.anaconda.com/pkgs/main/noarch/cycler-0.11.0-pyhd3eb1b0_0.conda#f5e3
 https://repo.anaconda.com/pkgs/main/linux-64/debugpy-1.6.7-py312h6a678d5_0.conda#e2d2e050b9401c68cfc979753f250616
 https://repo.anaconda.com/pkgs/main/noarch/decorator-5.1.1-pyhd3eb1b0_0.conda#4d969aac32a0faf84af90c797bfc7fec
 https://repo.anaconda.com/pkgs/main/noarch/defusedxml-0.7.1-pyhd3eb1b0_0.conda#d912068b0729930972adcaac338882c0
+https://repo.anaconda.com/pkgs/main/linux-64/dill-0.3.8-py312h06a4308_0.conda#f55011f25e86927bea73438c228631af
 https://repo.anaconda.com/pkgs/main/linux-64/distlib-0.3.8-py312h06a4308_0.conda#3763a64961ca016ccf828044029cc5c0
 https://repo.anaconda.com/pkgs/main/linux-64/et_xmlfile-1.1.0-py312h06a4308_1.conda#c9f51f719d877e8f6f8be7c9629d5791
 https://repo.anaconda.com/pkgs/main/noarch/execnet-1.9.0-pyhd3eb1b0_0.conda#f895937671af67cebb8af617494b3513
@@ -288,7 +289,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/tinycss2-1.2.1-py312h06a4308_0.cond
 https://conda.anaconda.org/conda-forge/noarch/typer-slim-0.12.3-pyhd8ed1ab_0.conda#cf2c3a89f89644c53cadbfeb124914e9
 https://repo.anaconda.com/pkgs/main/linux-64/typing-extensions-4.11.0-py312h06a4308_0.conda#181af932ad0824456dc3e6173c38b5c6
 https://repo.anaconda.com/pkgs/main/linux-64/virtualenv-20.26.1-py312h06a4308_0.conda#9a27149f4f1db4ada607be0fb5494f1b
-https://conda.anaconda.org/conda-forge/linux-64/watchdog-4.0.1-py312h7900ff3_0.conda#7cc94a3b5e9698eecc2c39dbf7a173db
+https://repo.anaconda.com/pkgs/main/linux-64/watchdog-4.0.1-py312h06a4308_0.conda#7cd659167e2c8149985b2d6b14479b11
 https://repo.anaconda.com/pkgs/main/linux-64/argon2-cffi-bindings-21.2.0-py312h5eee18b_0.conda#ed4180dcd3e7c19a9c06a86510ad1ae7
 https://conda.anaconda.org/conda-forge/linux-64/aws-crt-cpp-0.26.9-he3a8b3b_0.conda#fbe6a256dd70a505730e7c461cd37a35
 https://conda.anaconda.org/conda-forge/linux-64/azure-storage-blobs-cpp-12.10.0-h00ab1b0_1.conda#1e63d3866554a4d2e3d1cba5f21a2841
@@ -354,7 +355,7 @@ https://conda.anaconda.org/conda-forge/linux-64/gdal-3.8.5-py312h86af8fa_7.conda
 https://repo.anaconda.com/pkgs/main/linux-64/nbconvert-7.10.0-py312h06a4308_0.conda#e913ecbb1401f765ed8631ed511d6788
 https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.3.10-py312h2447d21_1.conda#e3b23e993698c5afd6ee57e009cabf4c
 https://repo.anaconda.com/pkgs/main/linux-64/requests-toolbelt-1.0.0-py312h06a4308_0.conda#7aa77208d296f2bb73e3e71f5614e170
-https://conda.anaconda.org/conda-forge/noarch/unearth-0.15.2-pyhd8ed1ab_0.conda#dda35988bb25a59bc0545ec35fc25977
+https://conda.anaconda.org/conda-forge/noarch/unearth-0.15.3-pyhd8ed1ab_0.conda#f32041bd4210adb59aa3b11a4108f33d
 https://repo.anaconda.com/pkgs/main/linux-64/cachecontrol-with-filecache-0.14.0-py312h06a4308_1.conda#e3f673966a8bfbab947ceceb285f72d0
 https://conda.anaconda.org/conda-forge/linux-64/fiona-1.9.6-py312h39f3bbb_2.conda#027c465cb004970543b3641b4a0fef74
 https://repo.anaconda.com/pkgs/main/linux-64/jupyter_server-2.10.0-py312h06a4308_0.conda#49fdb30dd562f6417cc1a621e2f24047
diff --git a/conda-lock.yml b/conda-lock.yml
index 691e7224..49198a37 100644
--- a/conda-lock.yml
+++ b/conda-lock.yml
@@ -15,9 +15,9 @@
 version: 1
 metadata:
   content_hash:
-    osx-arm64: 9d63316589f3dd984544e62a4e75390fcd4255abf4a16dd5f40259931f3c8c33
-    linux-64: fc1a2dad7b75533eecc939adf85e8193120dab7b74e221e0e3adb78dc0263375
-    linux-aarch64: ad83d114512697bc85313bf884872a426d7006d8f0de105ba5697733be34e9fb
+    osx-arm64: 16ab7f522094ab05883469fdd444acf93de252a72d6aec95ee98e67d2b30ff63
+    linux-64: 11beb7914787d1501787a8c8808a03235a67f9bd485168bbba543e06508fbba6
+    linux-aarch64: b8b106436844ebc9aa2ebafdfdbd3041b469ef0627d7145e49777f094172f66b
   channels:
   - url: r
     used_env_vars: []
@@ -3124,6 +3124,42 @@ package:
     sha256: 4a0eee0aa137cd11dec264d10afc97b584cf8828e267ec0629cb880728c3ac55
   category: main
   optional: false
+- name: dill
+  version: 0.3.8
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.12,<3.13.0a0'
+  url: https://repo.anaconda.com/pkgs/main/linux-64/dill-0.3.8-py312h06a4308_0.conda
+  hash:
+    md5: f55011f25e86927bea73438c228631af
+    sha256: 66ac2cdec90a58e8e136cb2cc868b5c42f70833e92c53d00824c7d0f219a2376
+  category: main
+  optional: false
+- name: dill
+  version: 0.3.8
+  manager: conda
+  platform: linux-aarch64
+  dependencies:
+    python: '>=3.12,<3.13.0a0'
+  url: https://repo.anaconda.com/pkgs/main/linux-aarch64/dill-0.3.8-py312hd43f75c_0.conda
+  hash:
+    md5: 6d484dc3b44aae9498d5453af3cdd29b
+    sha256: ca2443c2c2f84d2eb92e48f1edc06c5966c4b392c2b61c4986fa4928bb2d557d
+  category: main
+  optional: false
+- name: dill
+  version: 0.3.8
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    python: '>=3.12,<3.13.0a0'
+  url: https://repo.anaconda.com/pkgs/main/osx-arm64/dill-0.3.8-py312hca03da5_0.conda
+  hash:
+    md5: 777a3a9815a699c67aefb761717fc8f9
+    sha256: 3f6d073165c8d85fe4490077d52590a6741b1ed9fc762e22f61d105e311af432
+  category: main
+  optional: false
 - name: distlib
   version: 0.3.8
   manager: conda
@@ -7498,7 +7534,7 @@ package:
     libstdcxx-ng: '>=12'
     libxml2: '>=2.12.2,<3.0.0a0'
     libzip: '>=1.10.1,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     openssl: '>=3.2.0,<4.0a0'
     zlib: ''
     zstd: '>=1.5.5,<1.6.0a0'
@@ -7523,7 +7559,7 @@ package:
     libstdcxx-ng: '>=12'
     libxml2: '>=2.12.2,<3.0.0a0'
     libzip: '>=1.10.1,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     openssl: '>=3.2.0,<4.0a0'
     zlib: ''
     zstd: '>=1.5.5,<1.6.0a0'
@@ -7548,7 +7584,7 @@ package:
     libcxx: '>=16.0.6'
     libxml2: '>=2.12.2,<3.0.0a0'
     libzip: '>=1.10.1,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     openssl: '>=3.2.0,<4.0a0'
     zlib: ''
     zstd: '>=1.5.5,<1.6.0a0'
@@ -7567,7 +7603,7 @@ package:
     libev: '>=4.33,<5.0a0'
     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     openssl: '>=3.2.0,<4.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.58.0-h47da74e_1.conda
   hash:
@@ -7584,7 +7620,7 @@ package:
     libev: '>=4.33,<5.0a0'
     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     openssl: '>=3.2.0,<4.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-aarch64/libnghttp2-1.58.0-hb0e430d_1.conda
   hash:
@@ -7601,7 +7637,7 @@ package:
     c-ares: '>=1.23.0,<2.0a0'
     libcxx: '>=16.0.6'
     libev: '>=4.33,<5.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     openssl: '>=3.2.0,<4.0a0'
   url: https://conda.anaconda.org/conda-forge/osx-arm64/libnghttp2-1.58.0-ha4dd798_1.conda
   hash:
@@ -7683,7 +7719,7 @@ package:
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.43-h2797004_0.conda
   hash:
     md5: 009981dd9cfcaa4dbfa25ffaed86bcae
@@ -7696,7 +7732,7 @@ package:
   platform: linux-aarch64
   dependencies:
     libgcc-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-aarch64/libpng-1.6.43-h194ca79_0.conda
   hash:
     md5: 1123e504d9254dd9494267ab9aba95f0
@@ -7708,7 +7744,7 @@ package:
   manager: conda
   platform: osx-arm64
   dependencies:
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/osx-arm64/libpng-1.6.43-h091b4b1_0.conda
   hash:
     md5: 77e684ca58d82cae9deebafb95b1a2b8
@@ -9624,7 +9660,7 @@ package:
     libpng: '>=1.6.43,<1.7.0a0'
     libstdcxx-ng: '>=12'
     libtiff: '>=4.6.0,<4.7.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.2-h488ebb8_0.conda
   hash:
     md5: 7f2e286780f072ed750df46dc2631138
@@ -9640,7 +9676,7 @@ package:
     libpng: '>=1.6.43,<1.7.0a0'
     libstdcxx-ng: '>=12'
     libtiff: '>=4.6.0,<4.7.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-aarch64/openjpeg-2.5.2-h0d9d63b_0.conda
   hash:
     md5: fd2898519e839d5ceb778343f39a3176
@@ -9655,7 +9691,7 @@ package:
     libcxx: '>=16'
     libpng: '>=1.6.43,<1.7.0a0'
     libtiff: '>=4.6.0,<4.7.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/osx-arm64/openjpeg-2.5.2-h9f1df11_0.conda
   hash:
     md5: 5029846003f0bc14414b9128a1f7c84b
@@ -10024,7 +10060,7 @@ package:
   dependencies:
     bzip2: '>=1.0.8,<2.0a0'
     libgcc-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.43-hcad00b1_0.conda
   hash:
     md5: 8292dea9e022d9610a11fce5e0896ed8
@@ -10038,7 +10074,7 @@ package:
   dependencies:
     bzip2: '>=1.0.8,<2.0a0'
     libgcc-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-aarch64/pcre2-10.43-hd0f9c67_0.conda
   hash:
     md5: 1275fa549338ecdc8b7793589ac09150
@@ -10051,7 +10087,7 @@ package:
   platform: osx-arm64
   dependencies:
     bzip2: '>=1.0.8,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/osx-arm64/pcre2-10.43-h26f9a81_0.conda
   hash:
     md5: 1ddc87f00014612830f3235b5ad6d821
@@ -14422,7 +14458,7 @@ package:
   category: dev
   optional: true
 - name: unearth
-  version: 0.15.2
+  version: 0.15.3
   manager: conda
   platform: linux-64
   dependencies:
@@ -14431,14 +14467,14 @@ package:
     packaging: '>=20'
     python: '>=3.7'
     requests: '>=2.25'
-  url: https://conda.anaconda.org/conda-forge/noarch/unearth-0.15.2-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/unearth-0.15.3-pyhd8ed1ab_0.conda
   hash:
-    md5: dda35988bb25a59bc0545ec35fc25977
-    sha256: 68bdb5b8a184a84c01d601b3d5c53a11d3808cc69b3837d18ad170039338d9ca
+    md5: f32041bd4210adb59aa3b11a4108f33d
+    sha256: f8d7065e9cd67e0eeb24b91001ccff369eef124a8ecfee59882c210846c01bb4
   category: main
   optional: false
 - name: unearth
-  version: 0.15.2
+  version: 0.15.3
   manager: conda
   platform: linux-aarch64
   dependencies:
@@ -14447,14 +14483,14 @@ package:
     packaging: '>=20'
     python: '>=3.7'
     requests: '>=2.25'
-  url: https://conda.anaconda.org/conda-forge/noarch/unearth-0.15.2-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/unearth-0.15.3-pyhd8ed1ab_0.conda
   hash:
-    md5: dda35988bb25a59bc0545ec35fc25977
-    sha256: 68bdb5b8a184a84c01d601b3d5c53a11d3808cc69b3837d18ad170039338d9ca
+    md5: f32041bd4210adb59aa3b11a4108f33d
+    sha256: f8d7065e9cd67e0eeb24b91001ccff369eef124a8ecfee59882c210846c01bb4
   category: main
   optional: false
 - name: unearth
-  version: 0.15.2
+  version: 0.15.3
   manager: conda
   platform: osx-arm64
   dependencies:
@@ -14463,10 +14499,10 @@ package:
     packaging: '>=20'
     python: '>=3.7'
     requests: '>=2.25'
-  url: https://conda.anaconda.org/conda-forge/noarch/unearth-0.15.2-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/unearth-0.15.3-pyhd8ed1ab_0.conda
   hash:
-    md5: dda35988bb25a59bc0545ec35fc25977
-    sha256: 68bdb5b8a184a84c01d601b3d5c53a11d3808cc69b3837d18ad170039338d9ca
+    md5: f32041bd4210adb59aa3b11a4108f33d
+    sha256: f8d7065e9cd67e0eeb24b91001ccff369eef124a8ecfee59882c210846c01bb4
   category: main
   optional: false
 - name: unicodedata2
@@ -14647,12 +14683,11 @@ package:
   platform: linux-64
   dependencies:
     python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
     pyyaml: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/linux-64/watchdog-4.0.1-py312h7900ff3_0.conda
+  url: https://repo.anaconda.com/pkgs/main/linux-64/watchdog-4.0.1-py312h06a4308_0.conda
   hash:
-    md5: 7cc94a3b5e9698eecc2c39dbf7a173db
-    sha256: c4786da0c938a65cea07e2bb3fe76dbeed6968c322994c66395176307cf78425
+    md5: 7cd659167e2c8149985b2d6b14479b11
+    sha256: d4077feab03b7703c2d549dd14c0138f51d7bfd5b8aa7a04c66db6ad487fe2f3
   category: dev
   optional: true
 - name: watchdog
@@ -14661,12 +14696,11 @@ package:
   platform: linux-aarch64
   dependencies:
     python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
     pyyaml: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/watchdog-4.0.1-py312h8025657_0.conda
+  url: https://repo.anaconda.com/pkgs/main/linux-aarch64/watchdog-4.0.1-py312hd43f75c_0.conda
   hash:
-    md5: 106b4351ca616d0b0ad465dd2ae7fdab
-    sha256: 011a732e9abf46a9351edf2e0a57dc88ca51dd1e8caf32a96aa57ce13e964027
+    md5: b1e1e1cbc579874ea8999826a744d174
+    sha256: db974de26231218c13ee8e0bd8d68e779a57956599f2ad8ec741535db40e9cf9
   category: dev
   optional: true
 - name: watchdog
@@ -14674,14 +14708,12 @@ package:
   manager: conda
   platform: osx-arm64
   dependencies:
-    __osx: '>=11.0'
     python: '>=3.12,<3.13.0a0'
-    python_abi: 3.12.*
     pyyaml: '>=3.10'
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/watchdog-4.0.1-py312h7e5086c_0.conda
+  url: https://repo.anaconda.com/pkgs/main/osx-arm64/watchdog-4.0.1-py312h80987f9_0.conda
   hash:
-    md5: ce33cf6a4a69aa2beb93c8f7258bfe55
-    sha256: f018376037c19c38e5b55602d09653106cc4fada7db3f02f871cee7be6befcd6
+    md5: 7efa01fbde268e0ee229e0a718ac7abc
+    sha256: 9d0db215c53a7188cdcc335f61b1ae7b10c0130ad42d0672a4836eeb37ce193a
   category: dev
   optional: true
 - name: wcwidth
diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index 51902a28..2c722827 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -7,7 +7,6 @@
 
 """
 
-import pickle
 from dataclasses import dataclass, field
 from datetime import date
 from glob import glob
@@ -16,6 +15,7 @@
 from pathlib import Path
 from typing import Any, Callable, Final, Iterable, Iterator, Literal, Sequence
 
+import dill as pickle
 import numpy as np
 import rioxarray  # nopycln: import
 from geopandas import GeoDataFrame
@@ -365,6 +365,7 @@ class HADsResampler(ResamblerBase):
     resolution_relative_path: Path = HADS_2_2K_RESOLUTION_PATH
     input_file_x_column_name: str = HADS_XDIM
     input_file_y_column_name: str = HADS_YDIM
+    _use_reference_grid: bool = True
 
     def to_reprojection(
         self,
@@ -391,8 +392,9 @@ def to_reprojection(
             variable_name=self.variable_name,
             x_grid=self.x,
             y_grid=self.y,
-            x_coord_column_name=self.input_file_x_column_name,
-            y_coord_column_name=self.input_file_y_column_name,
+            source_x_coord_column_name=self.input_file_x_column_name,
+            source_y_coord_column_name=self.input_file_y_column_name,
+            use_reference_grid=self._use_reference_grid,
             new_path_name_func=reproject_2_2km_filename,
             return_results=return_results,
         )
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 0f5d08d3..a2ff4801 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -7,6 +7,7 @@
 
 import numpy as np
 import rioxarray  # nopycln: import
+import seaborn
 from cftime._cftime import Datetime360Day
 from geopandas import GeoDataFrame, read_file
 from matplotlib import pyplot as plt
@@ -45,6 +46,8 @@
 
 logger = getLogger(__name__)
 
+seaborn.set()  # Use seaborn style for all `matplotlib` plots
+
 DropDayType = set[tuple[int, int]]
 ChangeDayType = set[tuple[int, int]]
 
@@ -434,6 +437,8 @@ def interpolate_coords(
     x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
     y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
     reference_coords: T_Dataset | PathLike = DEFAULT_RELATIVE_GRID_DATA_PATH,
+    reference_coord_x_column_name: str = HADS_RAW_X_COLUMN_NAME,
+    reference_coord_y_column_name: str = HADS_RAW_Y_COLUMN_NAME,
     method: str = "linear",
     engine: XArrayEngineType = NETCDF4_XARRAY_ENGINE,
     use_reference_grid: bool = True,
@@ -458,11 +463,6 @@ def interpolate_coords(
         ValueError(f"'xr_time_series' must be an 'xr.Dataset' instance.")
 
     if use_reference_grid or (x_grid is None or y_grid is None):
-        use_reference_grid = True
-        try:
-            assert x_grid is None and y_grid is None
-        except:
-            raise ValueError(f"Both 'x_grid' and 'y_grid' must be set or none")
         if isinstance(reference_coords, PathLike | str):
             reference_coords = open_dataset(
                 reference_coords, decode_coords="all", engine=engine
@@ -471,26 +471,33 @@ def interpolate_coords(
             assert isinstance(reference_coords, Dataset)
         except:
             ValueError(f"'reference_coords' must be an 'xr.Dataset' instance.")
-
-        x_grid = (
-            reference_coords[x_coord_column_name].values if x_grid is None else x_grid
-        )
-        y_grid = (
-            reference_coords[y_coord_column_name].values if y_grid is None else y_grid
-        )
         try:
-            assert x_coord_column_name in reference_coords.coords
-            assert y_coord_column_name in reference_coords.coords
+            assert reference_coord_x_column_name in reference_coords.coords
+            assert reference_coord_y_column_name in reference_coords.coords
             assert x_coord_column_name in xr_time_series.coords
             assert y_coord_column_name in xr_time_series.coords
         except AssertionError:
             raise ValueError(
                 f"At least one of\n"
+                f"'reference_coord_x_column_name': '{reference_coord_x_column_name}'\n"
+                f"'reference_coord_y_column_name': '{reference_coord_y_column_name}'\n"
                 f"'x_coord_column_name': '{x_coord_column_name}'\n"
                 f"'y_coord_column_name': '{y_coord_column_name}'\n"
                 f"not in 'reference_coords' and/or 'xr_time_series'."
             )
 
+        x_grid = (
+            reference_coords[reference_coord_x_column_name].values
+            if x_grid is None
+            else x_grid
+        )
+        y_grid = (
+            reference_coords[reference_coord_y_column_name].values
+            if y_grid is None
+            else y_grid
+        )
+        use_reference_grid = True
+
     try:
         assert isinstance(x_grid, ndarray)
         assert isinstance(y_grid, ndarray)
@@ -501,14 +508,16 @@ def interpolate_coords(
         )
     kwargs[x_coord_column_name] = x_grid
     kwargs[y_coord_column_name] = y_grid
-    reprojected: T_Dataset = xr_time_series[variable_name].interp(
+    reprojected_data_array: T_DataArray = xr_time_series[variable_name].interp(
         method=method, **kwargs
     )
+
     # Ensure original `rio.crs` is kept in returned `Dataset`
     if use_reference_grid:
-        reprojected.rio.write_crs(reference_coords.rio.crs, inplace=True)
+        reprojected_data_array.rio.write_crs(reference_coords.rio.crs, inplace=True)
     else:
-        reprojected.rio.write_crs(xr_time_series.rio.crs, inplace=True)
+        reprojected_data_array.rio.write_crs(xr_time_series.rio.crs, inplace=True)
+    reprojected: Dataset = Dataset({variable_name: reprojected_data_array})
     return reprojected
 
 
@@ -524,6 +533,7 @@ def hads_resample_and_reproject(
     final_y_coord_column_name: str = FINAL_RESAMPLE_LAT_COL,
     final_crs: str | None = BRITISH_NATIONAL_GRID_EPSG,
     vars_to_drop: Sequence[str] | None = HADS_DROP_VARS_AFTER_PROJECTION,
+    use_reference_grid: bool = False,
 ) -> T_Dataset:
     """Resample `HADs` `xarray` time series to 2.2km."""
     if isinstance(hads_xr_time_series, PathLike):
@@ -537,6 +547,7 @@ def hads_resample_and_reproject(
         x_coord_column_name=source_x_coord_column_name,
         y_coord_column_name=source_y_coord_column_name,
         method=method,
+        use_reference_grid=use_reference_grid,
     )
     if vars_to_drop:
         interpolated_hads = interpolated_hads.drop_vars(vars_to_drop)
@@ -1288,7 +1299,7 @@ def cftime_range_gen(time_data_array: T_DataArray, **kwargs) -> NDArray:
     assert hasattr(time_data_array, "time")
     time_bnds_fix_range_start: CFTimeIndex = cftime_range(
         time_data_array.time.dt.strftime(ISO_DATE_FORMAT_STR).values[0],
-        time_data_array.time.dt.strftime(ISO_DATE_FORMAT_STR).values[0],
+        time_data_array.time.dt.strftime(ISO_DATE_FORMAT_STR).values[-1],
         **kwargs,
     )
     time_bnds_fix_range_end: CFTimeIndex = time_bnds_fix_range_start + timedelta(days=1)
diff --git a/python/pdm.lock b/python/pdm.lock
index a7480f80..b453cf68 100644
--- a/python/pdm.lock
+++ b/python/pdm.lock
@@ -5,7 +5,7 @@
 groups = ["default", "dev"]
 strategy = ["cross_platform", "inherit_metadata"]
 lock_version = "4.4.1"
-content_hash = "sha256:bcc175d83c3ba888da4211def99cede8eecc624e36e5006b2ae99f3157361056"
+content_hash = "sha256:996b7c055224d6d78334907c4e0b4d1ca9e0237e6b00b7a81caa5b71213fe036"
 
 [[package]]
 name = "affine"
@@ -691,6 +691,17 @@ files = [
     {file = "dep_logic-0.2.0.tar.gz", hash = "sha256:cff502b515aff2d413d19d6afc70174fc67da19e821be4a9b68460ccee2514c9"},
 ]
 
+[[package]]
+name = "dill"
+version = "0.3.8"
+requires_python = ">=3.8"
+summary = "serialize all of Python"
+groups = ["default"]
+files = [
+    {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
+    {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"},
+]
+
 [[package]]
 name = "distlib"
 version = "0.3.8"
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 237eece9..c79a8822 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -37,6 +37,7 @@ dependencies = [
     "pdm>=2.12.4",
     "typer>=0.12.3",
     "seaborn>=0.13.2",
+    "dill>=0.3.8",
 ]
 
 [project.scripts]
diff --git a/python/tests/test_pipeline.py b/python/tests/test_pipeline.py
index 234b20ca..4cdecbe8 100644
--- a/python/tests/test_pipeline.py
+++ b/python/tests/test_pipeline.py
@@ -43,9 +43,10 @@ def test_main(
     capsys,
 ) -> None:
     """Test running pipeline configurations."""
-    output_path: Path = (
-        test_runs_output_path / f"{'-'.join(variables)}-multi-{multiprocess}"
-    )
+    run_folder_name: str = f"{'-'.join(variables)}-multi-{multiprocess}"
+    if execute:
+        run_folder_name = "executed-" + run_folder_name
+    output_path: Path = test_runs_output_path / run_folder_name
 
     results = main(
         execute=execute,
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 34e34340..643443c2 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -152,6 +152,21 @@
     )
 )
 
+FINAL_CPM_DEC_10_5_X_0_10_Y: Final[NDArray] = np.array(
+    (
+        np.nan,
+        np.nan,
+        np.nan,
+        np.nan,
+        np.nan,
+        np.nan,
+        12.31753,
+        12.31753,
+        12.305811,
+        12.290186,
+    )
+)
+
 
 @pytest.mark.mount
 @pytest.fixture(scope="session")
@@ -673,8 +688,9 @@ def test_cpm_warp_steps(
     variable_name: str = "tasmax",
 ) -> None:
     """Test all steps around calendar and warping CPM RAW data."""
-    # file_name_prefix: str = "test-1980"
-    output_path: Path = test_runs_output_path / "test-cpm-warp"
+    output_path: Path = results_path(
+        "test-cpm-warp", path=test_runs_output_path, mkdir=True
+    )
     test_intermediate_files = IntermediateCPMFilesManager(
         variable_name=variable_name,
         output_path=output_path,
@@ -702,7 +718,6 @@ def test_cpm_warp_steps(
         test_intermediate_files.final_nc_path, decode_coords="all"
     )
     assert (final_results.time == projected.time).all()
-    assert False
 
 
 @pytest.mark.xfail(reason="test not complete")
@@ -809,7 +824,9 @@ def test_ukcp_manager(resample_test_cpm_output_path, config: str) -> None:
     assert export.dims["time"] == 365
     assert export.dims[FINAL_RESAMPLE_LON_COL] == 492
     assert export.dims[FINAL_RESAMPLE_LAT_COL] == 608  # previously 603
-    assert not np.isnan(export.tasmax.head()[0].values).all()
+    # TODO: check final correct values
+    assert_allclose(export.tasmax[10][5][:10].values, FINAL_CPM_DEC_10_5_X_0_10_Y)
+    # assert not np.isnan(export.tasmax.head()[0].values).all()
     # Todo: reapply these checks to intermediary files
     # assert export.dims[CPRUK_XDIM] == 484
     # assert export.dims[CPRUK_YDIM] == 606
@@ -851,11 +868,13 @@ def test_hads_manager(resample_test_hads_output_path, range: bool) -> None:
 @pytest.mark.mount
 @pytest.mark.slow
 @pytest.mark.parametrize("data_type", ("hads", "cpm"))
+@pytest.mark.parametrize("use_reference_grid", (True, False))
 def test_interpolate_coords(
     data_type: str,
     reference_final_coord_grid: T_Dataset,
     tasmax_cpm_1980_raw: T_Dataset,
     tasmax_hads_1980_raw: T_Dataset,
+    use_reference_grid: bool,
 ) -> None:
     """Test reprojecting raw spatial files.
 
@@ -866,32 +885,50 @@ def test_interpolate_coords(
     reprojected_xr_time_series: T_Dataset
     kwargs: dict[str, Any] = dict(
         variable_name="tasmax",
-        x_grid=reference_final_coord_grid.projection_x_coordinate,
-        y_grid=reference_final_coord_grid.projection_y_coordinate,
+        x_grid=reference_final_coord_grid.projection_x_coordinate.values,
+        y_grid=reference_final_coord_grid.projection_y_coordinate.values,
     )
+    x_col_name: str = HADS_XDIM
+    y_col_name: str = HADS_YDIM
     if data_type == "hads":
         reprojected_xr_time_series = interpolate_coords(
             tasmax_hads_1980_raw,
-            x_coord_column_name=HADS_XDIM,
-            y_coord_column_name=HADS_YDIM,
+            x_coord_column_name=x_col_name,
+            y_coord_column_name=y_col_name,
+            use_reference_grid=use_reference_grid,
             **kwargs,
         )
         assert reprojected_xr_time_series.dims["time"] == 31
         # assert reprojected_xr_time_series.dims[HADS_XDIM] == 528
         # assert reprojected_xr_time_series.dims[HADS_YDIM] == 651
-        assert reprojected_xr_time_series.rio.crs
+        assert_allclose(
+            reprojected_xr_time_series.tasmax[10][430][230:250],
+            FINAL_HADS_JAN_10_430_X_230_250_Y,
+        )
+        if use_reference_grid:
+            assert reprojected_xr_time_series.rio.crs == BRITISH_NATIONAL_GRID_EPSG
+        else:
+            assert reprojected_xr_time_series.rio.crs == tasmax_hads_1980_raw.rio.crs
     else:
+        x_col_name = CPRUK_XDIM
+        y_col_name = CPRUK_YDIM
         # We are now using gdal_warp_wrapper. See test_cpm_warp_steps
         reprojected_xr_time_series = interpolate_coords(
             tasmax_cpm_1980_raw,
-            x_coord_column_name=CPRUK_XDIM,
-            y_coord_column_name=CPRUK_YDIM,
+            x_coord_column_name=x_col_name,
+            y_coord_column_name=y_col_name,
+            use_reference_grid=use_reference_grid,
             **kwargs,
         )
         # Note: this test is to a raw file without 365 day projection
         assert reprojected_xr_time_series.dims["time"] == 360
-    assert reprojected_xr_time_series.dims[HADS_XDIM] == 528
-    assert reprojected_xr_time_series.dims[HADS_YDIM] == 651
+        assert np.isnan(reprojected_xr_time_series.tasmax[0][10][5][:10].values).all()
+        if use_reference_grid:
+            assert reprojected_xr_time_series.rio.crs == BRITISH_NATIONAL_GRID_EPSG
+        else:
+            assert reprojected_xr_time_series.rio.crs == tasmax_cpm_1980_raw.rio.crs
+    assert reprojected_xr_time_series.dims[x_col_name] == 528
+    assert reprojected_xr_time_series.dims[y_col_name] == 651
 
 
 @pytest.mark.mount
@@ -919,8 +956,12 @@ def test_hads_resample_and_reproject(
         variable_name=variable_name,
     )
 
-    plot_xarray(reprojected[0], path=output_path / "tasmas-1980.png", time_stamp=True)
-    assert_allclose(reprojected[10][430][230:250], FINAL_HADS_JAN_10_430_X_230_250_Y)
+    plot_xarray(
+        reprojected.tasmax[0], path=output_path / "tasmas-1980.png", time_stamp=True
+    )
+    assert_allclose(
+        reprojected.tasmax[10][430][230:250], FINAL_HADS_JAN_10_430_X_230_250_Y
+    )
     assert reprojected.rio.crs.to_epsg() == int(BRITISH_NATIONAL_GRID_EPSG[5:])
     export_netcdf_path: Path = results_path(
         "tasmax-1980-converted", path=output_path, extension="nc"

From f9925aeee6c860d3fb3d08a4491c553029e02a6d Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 2 Jun 2024 17:18:55 +0100
Subject: [PATCH 10/92] feat(test): add `--mount-fixture-config` `pytest` cli
 run option and add `tests/utils.py`

---
 python/clim_recal/utils/xarray.py | 101 +-----------
 python/conftest.py                | 143 ++++++-----------
 python/tests/test_resample.py     |  90 ++++-------
 python/tests/utils.py             | 259 ++++++++++++++++++++++++++++++
 4 files changed, 342 insertions(+), 251 deletions(-)
 create mode 100644 python/tests/utils.py

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index a2ff4801..3eaf8acd 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -3,7 +3,7 @@
 from logging import getLogger
 from os import PathLike
 from pathlib import Path
-from typing import Any, Callable, Final, Iterable, Literal, Sequence
+from typing import Any, Callable, Final, Literal, Sequence
 
 import numpy as np
 import rioxarray  # nopycln: import
@@ -11,11 +11,11 @@
 from cftime._cftime import Datetime360Day
 from geopandas import GeoDataFrame, read_file
 from matplotlib import pyplot as plt
-from numpy import array, ndarray, random
+from numpy import ndarray
 from numpy.typing import NDArray
 from osgeo.gdal import Dataset as GDALDataset
 from osgeo.gdal import GDALWarpAppOptions, Warp, WarpOptions
-from pandas import DatetimeIndex, date_range, to_datetime
+from pandas import DatetimeIndex, date_range
 from xarray import CFTimeIndex, DataArray, Dataset, cftime_range, open_dataset
 from xarray.backends.api import ENGINES
 from xarray.coding.calendar_ops import convert_calendar
@@ -30,9 +30,7 @@
 from .core import (
     CLI_DATE_FORMAT_STR,
     ISO_DATE_FORMAT_STR,
-    DateType,
     climate_data_mount_path,
-    date_range_generator,
     date_range_to_str,
     results_path,
     time_str,
@@ -91,11 +89,6 @@
 }
 """City centre `(lon, lat)` `tuple` coords of `Glasgow`, `Manchester` and `London`."""
 
-XARRAY_EXAMPLE_RANDOM_SEED: Final[int] = 0
-# Default 4 year start and end date covering leap year
-XARRAY_EXAMPLE_START_DATE_STR: Final[str] = "1980-11-30"
-XARRAY_EXAMPLE_END_DATE_4_YEARS: Final[str] = "1984-11-30"
-
 
 @dataclass
 class CityCoords:
@@ -1079,94 +1072,6 @@ def apply_geo_func(
         return export_path
 
 
-# Note: `rioxarray` is imported to ensure GIS methods are included. See:
-# https://corteva.github.io/rioxarray/stable/getting_started/getting_started.html#rio-accessor
-def xarray_example(
-    start_date: DateType = XARRAY_EXAMPLE_START_DATE_STR,
-    end_date: DateType = XARRAY_EXAMPLE_END_DATE_4_YEARS,
-    coordinates: dict[str, tuple[float, float]] = THREE_CITY_CENTRE_COORDS,
-    skip_dates: Iterable[date] | None = None,
-    random_seed_int: int | None = XARRAY_EXAMPLE_RANDOM_SEED,
-    name: str | None = None,
-    as_dataset: bool = False,
-    **kwargs,
-) -> DataArray | Dataset:
-    """Generate spatial and temporal `xarray` objects.
-
-    Parameters
-    ----------
-    start_date
-        Start of time series.
-    end_date
-        End of time series (by default not inclusive).
-    coordinates
-        A `dict` of region name `str` to `tuple` of
-        `(lon, lat)` form.
-    skip_dates
-        A list of `date` objects to drop/skip between
-        `start_date` and `end_date`.
-    as_dataset
-        Convert output to `Dataset`.
-    name
-        Name of returned `DataArray` and `Dataset`.
-    kwargs
-        Additional parameters to pass to `date_range_generator`.
-
-    Returns
-    -------
-    :
-        A `DataArray` of `start_date` to `end_date` date
-        range a random variable for coordinates regions
-        (Glasgow, Manchester and London as default).
-
-    Examples
-    --------
-    >>> xarray_example('1980-11-30', '1980-12-5')
-    <xarray.DataArray 'xa_template' (time: 5, space: 3)>...
-    array([[..., ..., ...],
-           [..., ..., ...],
-           [..., ..., ...],
-           [..., ..., ...],
-           [..., ..., ...]])
-    Coordinates:
-      * time     (time) datetime64[ns] ...1980-11-30 ... 1980-12-04
-      * space    (space) <U10 ...'Glasgow' 'Manchester' 'London'
-    """
-    date_range: list[DateType] = list(
-        date_range_generator(
-            start_date=start_date,
-            end_date=end_date,
-            start_format_str=ISO_DATE_FORMAT_STR,
-            end_format_str=ISO_DATE_FORMAT_STR,
-            skip_dates=skip_dates,
-            **kwargs,
-        )
-    )
-    if not name:
-        name = f"xa_template"
-    if isinstance(random_seed_int, int):
-        random.seed(random_seed_int)  # ensure results are predictable
-    random_data: array = random.rand(len(date_range), len(coordinates))
-    spaces: list[str] = list(coordinates.keys())
-    # If useful, add lat/lon (currently not working)
-    # lat: list[float] = [coord[0] for coord in coordinates.values()]
-    # lon: list[float] = [coord[1] for coord in coordinates.values()]
-    da: T_DataArray = DataArray(
-        random_data,
-        name=name,
-        coords={
-            "time": to_datetime(date_range),
-            "space": spaces,
-            # "lon": lon,# *len(date_range),
-            # "lat": lat,
-        },
-    )
-    if as_dataset:
-        return da.to_dataset()
-    else:
-        return da
-
-
 def file_name_to_start_end_dates(
     path: PathLike, date_format: str = CLI_DATE_FORMAT_STR
 ) -> tuple[datetime, datetime]:
diff --git a/python/conftest.py b/python/conftest.py
index fe8fe20e..18d70251 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -1,29 +1,14 @@
 from pathlib import Path
 from pprint import pprint
 from shutil import copytree, rmtree
-from typing import Final, Iterator
+from typing import Final, Iterator, Literal
 
 import pytest
 from coverage_badge.__main__ import main as gen_cov_badge
 from xarray import DataArray, Dataset
 
 from clim_recal.config import ClimRecalConfig
-from clim_recal.debiasing.debias_wrapper import (
-    CALIB_DATES_STR_DEFAULT,
-    CMETHODS_FILE_NAME,
-    CMETHODS_OUT_FOLDER_DEFAULT,
-    DATA_PATH_DEFAULT,
-    MOD_FOLDER_DEFAULT,
-    OBS_FOLDER_DEFAULT,
-    PREPROCESS_FILE_NAME,
-    PREPROCESS_OUT_FOLDER_DEFAULT,
-    PROCESSESORS_DEFAULT,
-    VALID_DATES_STR_DEFAULT,
-    CityOptions,
-    MethodOptions,
-    RunOptions,
-    VariableOptions,
-)
+from clim_recal.debiasing.debias_wrapper import CityOptions
 from clim_recal.resample import CPM_OUTPUT_LOCAL_PATH, HADS_OUTPUT_LOCAL_PATH
 from clim_recal.utils.core import (
     ISO_DATE_FORMAT_STR,
@@ -31,26 +16,27 @@
     climate_data_mount_path,
     is_climate_data_mounted,
     is_platform_darwin,
-    iter_to_tuple_strs,
     results_path,
 )
 from clim_recal.utils.server import CondaLockFileManager
-from clim_recal.utils.xarray import (
-    GLASGOW_GEOM_LOCAL_PATH,
+from clim_recal.utils.xarray import GLASGOW_GEOM_LOCAL_PATH, BoundsTupleType
+from tests.utils import (
+    CLI_CMETHODS_DEFAULT_COMMAND_STR_CORRECT,
+    CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT,
+    CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_STR_CORRECT,
+    CLI_PREPROCESS_DEFAULT_COMMAND_STR_CORRECT,
+    CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT,
+    CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT,
+    TEST_AUTH_CSV_FILE_NAME,
+    XARRAY_END_DATE_4_DAYS,
+    XARRAY_END_DATE_8_DAYS,
     XARRAY_EXAMPLE_END_DATE_4_YEARS,
-    BoundsTupleType,
+    XARRAY_SKIP_2_FROM_8_DAYS,
     xarray_example,
 )
 
 MOUNT_DOCTEST_SKIP_MESSAGE: Final[str] = "requires external data mounted"
 # Date Range covering leap year
-XARRAY_END_DATE_4_DAYS: Final[str] = "1980-12-5"
-XARRAY_END_DATE_8_DAYS: Final[str] = "1980-12-10"
-XARRAY_SKIP_2_FROM_8_DAYS: Final[tuple[str, str]] = (
-    "1980-12-7",
-    "1980-12-8",
-)
-TEST_AUTH_CSV_FILE_NAME: Final[Path] = Path("test_auth.csv")
 
 BADGE_PATH: Final[Path] = Path("docs") / "assets" / "coverage.svg"
 CLIMATE_DATA_MOUNT_PATH_LINUX: Final[Path] = Path("/mnt/vmfileshare/ClimateData")
@@ -63,67 +49,7 @@
 )
 PYTHON_DIR_NAME: Final[Path] = Path("python")
 TEST_DATA_PATH: Final[Path] = TEST_FILE_PATH / "data"
-
-CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT: Final[tuple[str, ...]] = (
-    "python",
-    PREPROCESS_FILE_NAME,
-    "--mod",
-    DATA_PATH_DEFAULT / MOD_FOLDER_DEFAULT / CityOptions.default(),
-    "--obs",
-    DATA_PATH_DEFAULT / OBS_FOLDER_DEFAULT / CityOptions.default(),
-    "-v",
-    VariableOptions.default(),
-    "-r",
-    RunOptions.default(),
-    "--out",
-    (
-        DATA_PATH_DEFAULT
-        / PREPROCESS_OUT_FOLDER_DEFAULT
-        / CityOptions.default()
-        / RunOptions.default()
-        / VariableOptions.default()
-    ),
-    "--calib_dates",
-    CALIB_DATES_STR_DEFAULT,
-    "--valid_dates",
-    VALID_DATES_STR_DEFAULT,
-)
-
-CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT: Final[
-    tuple[str, ...]
-] = iter_to_tuple_strs(CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT)
-
-CLI_PREPROCESS_DEFAULT_COMMAND_STR_CORRECT: Final[str] = " ".join(
-    CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT
-)
-
-CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT: Final[tuple[str, ...]] = (
-    "python",
-    CMETHODS_FILE_NAME,
-    "--input_data_folder",
-    CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT[11],
-    "--out",
-    (
-        DATA_PATH_DEFAULT
-        / CMETHODS_OUT_FOLDER_DEFAULT
-        / CityOptions.default()
-        / RunOptions.default()
-    ).resolve(),
-    "--method",
-    MethodOptions.default(),
-    "-v",
-    VariableOptions.default(),
-    "-p",
-    PROCESSESORS_DEFAULT,
-)
-
-CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_STR_CORRECT: Final[
-    tuple[str, ...]
-] = iter_to_tuple_strs(CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT)
-
-CLI_CMETHODS_DEFAULT_COMMAND_STR_CORRECT: Final[str] = " ".join(
-    CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_STR_CORRECT
-)
+LOCAL_FIXTURE_PATH_NAME: Final[Path] = Path("local-cache")
 
 
 MOD_FOLDER_FILES_COUNT_CORRECT: Final[int] = 1478
@@ -131,6 +57,10 @@
 PREPROCESS_OUT_FOLDER_FILES_COUNT_CORRECT: Final[int] = 4
 
 
+MOUNT_FIXTURE_CONFIG_CHOICES: Final[tuple[str, str]] = ("mount", "local_cache")
+MountFixtureConfigChoices = Literal[*MOUNT_FIXTURE_CONFIG_CHOICES]
+
+
 @pytest.fixture
 def mod_folder_files_count_correct() -> int:
     return MOD_FOLDER_FILES_COUNT_CORRECT
@@ -160,6 +90,10 @@ def data_mount_path() -> Path:
     -------
     The `Path` climate data would likely be mounted to.
     """
+    # if 'localcache' in fixture_data_source_marks:
+    #     assert False
+    #     return LOCAL_CACHE_FIXTURE_PATH
+    # else:
     return climate_data_mount_path()
 
 
@@ -242,9 +176,26 @@ def test_runs_output_path(path=TEST_RESULTS_PATH) -> Iterator[Path]:
     rmtree(path, ignore_errors=True)
 
 
+def pytest_addoption(parser):
+    """Add test cli config options."""
+    parser.addoption(
+        "--mount-fixture-config",
+        choices=MOUNT_FIXTURE_CONFIG_CHOICES,
+        # action="store",
+        default="mount",  # 'mount'
+        type=str,
+        help="'mount' or 'local_cache' data fixture types",
+    )
+
+
+@pytest.fixture(scope="session")
+def mount_fixture_config(request) -> MountFixtureConfigChoices:
+    return request.config.getoption("--mount-fixture-config")
+
+
 @pytest.fixture(scope="session")
 def local_cache_path() -> Path:
-    return TEST_DATA_PATH
+    return TEST_DATA_PATH / LOCAL_FIXTURE_PATH_NAME
 
 
 @pytest.fixture(scope="session")
@@ -399,6 +350,18 @@ def doctest_auto_fixtures(
     doctest_namespace["clim_runner"] = clim_runner
 
 
+# def pytest_generate_tests(metafunc):
+#     """Customise the standard process of generating tests."""
+#     fixture_data_source_marks: list[str] = ['mount']
+#     # use_local_cache: bool = False
+#     # if "use_local_cache" in metafunc.fixturenames:
+#     #use_local_fixture_cache: bool = metafunc.config.getoption("use_local_fixture_cache")
+#     if metafunc.config.getoption("use_local_fixture_cache"):
+#         fixture_data_source_marks.append('localcache')
+#     metafunc.parametrize("fixture_data_sources", fixture_data_source_marks, indirect=True)
+#     # metafunc.parametrize("use_local_cache", use_local_cache)
+
+
 def pytest_sessionfinish(session, exitstatus):
     """Generate badges for docs after tests finish.
 
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 643443c2..6b671088 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -30,9 +30,6 @@
 )
 from clim_recal.utils.core import (
     CLI_DATE_FORMAT_STR,
-    CPM_YEAR_DAYS,
-    LEAP_YEAR_DAYS,
-    NORMAL_YEAR_DAYS,
     DateType,
     annual_data_path,
     annual_data_paths_generator,
@@ -64,9 +61,10 @@
     hads_resample_and_reproject,
     interpolate_coords,
     plot_xarray,
-    xarray_example,
 )
 
+from .utils import xarray_example, year_days_count
+
 HADS_UK_TASMAX_DAY_SERVER_PATH: Final[Path] = Path("Raw/HadsUKgrid/tasmax/day")
 HADS_UK_RESAMPLED_DAY_SERVER_PATH: Final[Path] = Path(
     "Processed/HadsUKgrid/resampled_2.2km/tasmax/day"
@@ -168,13 +166,33 @@
 )
 
 
+# @pytest.mark.mount
+# @pytest.fixture(scope="session")
+# def tasmax_cpm_1980_raw() -> T_Dataset:
+#     # Backup path if furture rehydration issues
+#     # return open_dataset("/Volumes/vmfileshare/ClimateData/Raw/UKCP2.2/tasmin/05/latest/tasmin_rcp85_land-cpm_uk_2.2km_05_day_19801201-19811130.nc", decode_coords="all")
+#     # return open_dataset(local_cpm_cache_path / UKCP_RAW_TASMAX_1980_FILE, decode_coorda="all")
+#     return open_dataset(UKCP_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
 @pytest.mark.mount
+# @pytest.mark.localcache
+# @pytest.fixture(scope="session", params=("mount", "localcache"))
 @pytest.fixture(scope="session")
-def tasmax_cpm_1980_raw() -> T_Dataset:
-    # Backup path if furture rehydration issues
-    # return open_dataset("/Volumes/vmfileshare/ClimateData/Raw/UKCP2.2/tasmin/05/latest/tasmin_rcp85_land-cpm_uk_2.2km_05_day_19801201-19811130.nc", decode_coords="all")
-    # return open_dataset(local_cpm_cache_path / UKCP_RAW_TASMAX_1980_FILE, decode_coorda="all")
-    return open_dataset(UKCP_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
+def tasmax_cpm_1980_raw(
+    # request: pytest.FixtureRequest, local_cpm_cache_path: Path,
+    # localfixturecare: bool,
+    mount_fixture_config: str,
+    local_cpm_cache_path: Path,
+) -> T_Dataset:
+    if mount_fixture_config == "mount":
+        # return open_dataset(HADS_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
+        return open_dataset(UKCP_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
+    # Using below to manage issues with server mount
+    elif mount_fixture_config == "local_cache":
+        return open_dataset(
+            local_cpm_cache_path / UKCP_RAW_TASMAX_1980_FILE, decode_coords="all"
+        )
+    else:
+        raise ValueError(f"only 'mount' and 'localcache' params are supported")
 
 
 @pytest.mark.mount
@@ -234,60 +252,6 @@ def ukcp_tasmax_local_test_path(data_fixtures_path: Path) -> Path:
     return data_fixtures_path / UKCP_TASMAX_LOCAL_TEST_PATH
 
 
-class StandardWith360DayError(Exception):
-    ...
-
-
-def year_days_count(
-    standard_years: int = 0,
-    leap_years: int = 0,
-    xarray_360_day_years: int = 0,
-    strict: bool = True,
-) -> int:
-    """Return the number of days for the combination of learn lengths.
-
-    Parameters
-    ----------
-    standard_years
-        Count of 365 day years.
-    leap_years
-        Count of 366 day years.
-    xarray_360_day_years
-        Count of 360 day years following xarray's specification.
-    strict
-        Whether to prevent combining `standard_years` or `leap_years`
-        with `xarray_360_day_years`.
-
-    Returns
-    -------
-    Sum of all year type counts
-
-    Examples
-    --------
-    >>> year_days_count(standard_years=4) == NORMAL_YEAR_DAYS*4 == 365*4
-    True
-    >>> year_days_count(xarray_360_day_years=4) == CPM_YEAR_DAYS*4 == 360*4
-    True
-    >>> (year_days_count(standard_years=3, leap_years=1)
-    ...  == NORMAL_YEAR_DAYS*3 + LEAP_YEAR_DAYS
-    ...  == 365*3 + 366)
-    True
-    """
-    if strict and (standard_years or leap_years) and xarray_360_day_years:
-        raise StandardWith360DayError(
-            f"With 'strict == True', "
-            f"{standard_years} standard (365 day) years and/or "
-            f"{leap_years} leap (366 day) years "
-            f"cannot be combined with "
-            f"xarray_360_day_years ({xarray_360_day_years})."
-        )
-    return (
-        standard_years * NORMAL_YEAR_DAYS
-        + leap_years * LEAP_YEAR_DAYS
-        + xarray_360_day_years * CPM_YEAR_DAYS
-    )
-
-
 def test_leap_year_days() -> None:
     """Test covering a leap year of 366 days."""
     start_date_str: str = "2024-03-01"
diff --git a/python/tests/utils.py b/python/tests/utils.py
new file mode 100644
index 00000000..e2893b8c
--- /dev/null
+++ b/python/tests/utils.py
@@ -0,0 +1,259 @@
+from collections.abc import Hashable
+from dataclasses import dataclass, field
+from datetime import date
+from os import PathLike
+from pathlib import Path
+from typing import Final, Iterable, Sequence
+
+from numpy import array, random
+from pandas import date_range, to_datetime
+from xarray import DataArray
+from xarray.core.types import T_DataArray, T_DataArrayOrSet
+
+from clim_recal.debiasing.debias_wrapper import (
+    CALIB_DATES_STR_DEFAULT,
+    CMETHODS_FILE_NAME,
+    CMETHODS_OUT_FOLDER_DEFAULT,
+    DATA_PATH_DEFAULT,
+    MOD_FOLDER_DEFAULT,
+    OBS_FOLDER_DEFAULT,
+    PREPROCESS_FILE_NAME,
+    PREPROCESS_OUT_FOLDER_DEFAULT,
+    PROCESSESORS_DEFAULT,
+    VALID_DATES_STR_DEFAULT,
+    CityOptions,
+    MethodOptions,
+    RunOptions,
+    VariableOptions,
+)
+from clim_recal.utils.core import (
+    CPM_YEAR_DAYS,
+    ISO_DATE_FORMAT_STR,
+    LEAP_YEAR_DAYS,
+    NORMAL_YEAR_DAYS,
+    DateType,
+    date_range_generator,
+    iter_to_tuple_strs,
+)
+from clim_recal.utils.xarray import THREE_CITY_CENTRE_COORDS
+
+XARRAY_EXAMPLE_RANDOM_SEED: Final[int] = 0
+# Default 4 year start and end date covering leap year
+XARRAY_EXAMPLE_START_DATE_STR: Final[str] = "1980-11-30"
+XARRAY_EXAMPLE_END_DATE_4_YEARS: Final[str] = "1984-11-30"
+
+XARRAY_END_DATE_4_DAYS: Final[str] = "1980-12-5"
+XARRAY_END_DATE_8_DAYS: Final[str] = "1980-12-10"
+XARRAY_SKIP_2_FROM_8_DAYS: Final[tuple[str, str]] = (
+    "1980-12-7",
+    "1980-12-8",
+)
+TEST_AUTH_CSV_FILE_NAME: Final[Path] = Path("test_auth.csv")
+
+CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT: Final[tuple[str | Path, ...]] = (
+    "python",
+    PREPROCESS_FILE_NAME,
+    "--mod",
+    DATA_PATH_DEFAULT / MOD_FOLDER_DEFAULT / CityOptions.default(),
+    "--obs",
+    DATA_PATH_DEFAULT / OBS_FOLDER_DEFAULT / CityOptions.default(),
+    "-v",
+    VariableOptions.default(),
+    "-r",
+    RunOptions.default(),
+    "--out",
+    (
+        DATA_PATH_DEFAULT
+        / PREPROCESS_OUT_FOLDER_DEFAULT
+        / CityOptions.default()
+        / RunOptions.default()
+        / VariableOptions.default()
+    ),
+    "--calib_dates",
+    CALIB_DATES_STR_DEFAULT,
+    "--valid_dates",
+    VALID_DATES_STR_DEFAULT,
+)
+
+CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT: Final[
+    tuple[str, ...]
+] = iter_to_tuple_strs(CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT)
+
+CLI_PREPROCESS_DEFAULT_COMMAND_STR_CORRECT: Final[str] = " ".join(
+    CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT
+)
+
+CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT: Final[tuple[str | Path, ...]] = (
+    "python",
+    CMETHODS_FILE_NAME,
+    "--input_data_folder",
+    CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT[11],
+    "--out",
+    (
+        DATA_PATH_DEFAULT
+        / CMETHODS_OUT_FOLDER_DEFAULT
+        / CityOptions.default()
+        / RunOptions.default()
+    ).resolve(),
+    "--method",
+    MethodOptions.default(),
+    "-v",
+    VariableOptions.default(),
+    "-p",
+    PROCESSESORS_DEFAULT,
+)
+
+CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_STR_CORRECT: Final[
+    tuple[str, ...]
+] = iter_to_tuple_strs(CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT)
+
+CLI_CMETHODS_DEFAULT_COMMAND_STR_CORRECT: Final[str] = " ".join(
+    CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_STR_CORRECT
+)
+
+
+class StandardWith360DayError(Exception):
+    ...
+
+
+def year_days_count(
+    standard_years: int = 0,
+    leap_years: int = 0,
+    xarray_360_day_years: int = 0,
+    strict: bool = True,
+) -> int:
+    """Return the number of days for the combination of year lengths.
+
+    Parameters
+    ----------
+    standard_years
+        Count of 365 day years.
+    leap_years
+        Count of 366 day years.
+    xarray_360_day_years
+        Count of 360 day years following xarray's specification.
+    strict
+        Whether to prevent combining `standard_years` or `leap_years`
+        with `xarray_360_day_years`.
+
+    Returns
+    -------
+    Sum of all year type counts
+
+    Examples
+    --------
+    >>> year_days_count(standard_years=4) == NORMAL_YEAR_DAYS*4 == 365*4
+    True
+    >>> year_days_count(xarray_360_day_years=4) == CPM_YEAR_DAYS*4 == 360*4
+    True
+    >>> (year_days_count(standard_years=3, leap_years=1)
+    ...  == NORMAL_YEAR_DAYS*3 + LEAP_YEAR_DAYS
+    ...  == 365*3 + 366)
+    True
+    """
+    if strict and (standard_years or leap_years) and xarray_360_day_years:
+        raise StandardWith360DayError(
+            f"With 'strict == True', "
+            f"{standard_years} standard (365 day) years and/or "
+            f"{leap_years} leap (366 day) years "
+            f"cannot be combined with "
+            f"xarray_360_day_years ({xarray_360_day_years})."
+        )
+    return (
+        standard_years * NORMAL_YEAR_DAYS
+        + leap_years * LEAP_YEAR_DAYS
+        + xarray_360_day_years * CPM_YEAR_DAYS
+    )
+
+
+# Note: `rioxarray` is imported to ensure GIS methods are included. See:
+# https://corteva.github.io/rioxarray/stable/getting_started/getting_started.html#rio-accessor
+def xarray_example(
+    start_date: DateType = XARRAY_EXAMPLE_START_DATE_STR,
+    end_date: DateType = XARRAY_EXAMPLE_END_DATE_4_YEARS,
+    coordinates: dict[str, tuple[float, float]] = THREE_CITY_CENTRE_COORDS,
+    skip_dates: Iterable[date] | None = None,
+    random_seed_int: int | None = XARRAY_EXAMPLE_RANDOM_SEED,
+    name: str | None = None,
+    as_dataset: bool = False,
+    **kwargs,
+) -> T_DataArrayOrSet:
+    """Generate spatial and temporal `xarray` objects.
+
+    Parameters
+    ----------
+    start_date
+        Start of time series.
+    end_date
+        End of time series (by default not inclusive).
+    coordinates
+        A `dict` of region name `str` to `tuple` of
+        `(lon, lat)` form.
+    skip_dates
+        A list of `date` objects to drop/skip between
+        `start_date` and `end_date`.
+    as_dataset
+        Convert output to `Dataset`.
+    name
+        Name of returned `DataArray` and `Dataset`.
+    kwargs
+        Additional parameters to pass to `date_range_generator`.
+
+    Returns
+    -------
+    :
+        A `DataArray` of `start_date` to `end_date` date
+        range a random variable for coordinates regions
+        (Glasgow, Manchester and London as default).
+
+    Examples
+    --------
+    >>> xarray_example('1980-11-30', '1980-12-5')
+    <xarray.DataArray 'xa_template' (time: 5, space: 3)>...
+    array([[..., ..., ...],
+           [..., ..., ...],
+           [..., ..., ...],
+           [..., ..., ...],
+           [..., ..., ...]])
+    Coordinates:
+      * time     (time) datetime64[ns] ...1980-11-30 ... 1980-12-04
+      * space    (space) <U10 ...'Glasgow' 'Manchester' 'London'
+    """
+    date_range: list[DateType] = list(
+        date_range_generator(
+            start_date=start_date,
+            end_date=end_date,
+            start_format_str=ISO_DATE_FORMAT_STR,
+            end_format_str=ISO_DATE_FORMAT_STR,
+            skip_dates=skip_dates,
+            **kwargs,
+        )
+    )
+    if not name:
+        name = f"xa_template"
+    if isinstance(random_seed_int, int):
+        random.seed(random_seed_int)  # ensure results are predictable
+    random_data: array = random.rand(len(date_range), len(coordinates))
+    spaces: list[str] = list(coordinates.keys())
+    # If useful, add lat/lon (currently not working)
+    # lat: list[float] = [coord[0] for coord in coordinates.values()]
+    # lon: list[float] = [coord[1] for coord in coordinates.values()]
+    da: T_DataArray = DataArray(
+        random_data,
+        name=name,
+        coords={
+            "time": to_datetime(date_range),
+            "space": spaces,
+            # "lon": lon,# *len(date_range),
+            # "lat": lat,
+        },
+    )
+    if as_dataset:
+        return da.to_dataset()
+    else:
+        return da
+
+
+@dataclass
+class LocalCache(Hashable):
+    server_paths: Sequence[PathLike] = field(default_factory=tuple)

From cc9a1a7c95b4c90b37d1450bb92bbf389570b13a Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 2 Jun 2024 17:26:06 +0100
Subject: [PATCH 11/92] fix(test): add `tests/__init__.py`

---
 python/tests/__init__.py | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 python/tests/__init__.py

diff --git a/python/tests/__init__.py b/python/tests/__init__.py
new file mode 100644
index 00000000..e69de29b

From f3296b2f27a8e3505c9a917558e2f6adf6862b51 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Mon, 3 Jun 2024 01:09:35 +0100
Subject: [PATCH 12/92] feat(test): add `rsync` called by `LocalCache` and
 `LocalCachesManager`

---
 .conda-linux-64.lock                          |  10 +-
 conda-lock.yml                                | 235 +++++++++++++++---
 environment.yml                               |   1 +
 python/clim_recal/debiasing/debias_wrapper.py |   4 +-
 python/conftest.py                            |  69 +++--
 python/pdm.lock                               |  27 +-
 python/pyproject.toml                         |   1 +
 python/tests/test_resample.py                 |  48 ++--
 python/tests/utils.py                         | 229 ++++++++++++++++-
 9 files changed, 509 insertions(+), 115 deletions(-)

diff --git a/.conda-linux-64.lock b/.conda-linux-64.lock
index 079fc5ec..69111042 100644
--- a/.conda-linux-64.lock
+++ b/.conda-linux-64.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 11beb7914787d1501787a8c8808a03235a67f9bd485168bbba543e06508fbba6
+# input_hash: e93d626994b24acc9824124ff7f680fce2a576875f8b1052dd7b9635db71c386
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://repo.anaconda.com/pkgs/main/linux-64/blas-1.0-openblas.conda#9ddfcaef10d79366c90128f5dc444be8
@@ -64,6 +64,7 @@ https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hd590300_0.con
 https://conda.anaconda.org/conda-forge/linux-64/xorg-renderproto-0.11.1-h7f98852_1002.tar.bz2#06feff3d2634e3097ce2fe681474b534
 https://conda.anaconda.org/conda-forge/linux-64/xorg-xextproto-7.3.0-h0b41bf4_1003.conda#bce9f945da8ad2ae9b1d7165a64d0f87
 https://repo.anaconda.com/pkgs/main/linux-64/xorg-xproto-7.0.31-h27cfd23_1007.conda#287ea0f32c5f1c209e5030ead360b613
+https://conda.anaconda.org/conda-forge/linux-64/xxhash-0.8.2-hd590300_0.conda#f08fb5c89edfc4aadee1c81d4cfb1fa1
 https://repo.anaconda.com/pkgs/main/linux-64/xz-5.4.6-h5eee18b_1.conda#1562802f843297ee776a50b9329597ed
 https://repo.anaconda.com/pkgs/main/linux-64/yaml-0.2.5-h7b6447c_0.conda#39fdbf4db769e494ffb06d95680c83d8
 https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.6.14-h88a6e22_1.conda#7ed63b0e816dd1635903506ef5d2c079
@@ -83,6 +84,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.3-h2797004_0.cond
 https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.7-hc051c1a_0.conda#5d801a4906adc712d480afc362623b59
 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.10.1-h2629f0a_3.conda#ac79812548e7e8cf61f7b0abdef01d3b
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.43-hcad00b1_0.conda#8292dea9e022d9610a11fce5e0896ed8
+https://conda.anaconda.org/conda-forge/linux-64/popt-1.16-h0b475e3_2002.tar.bz2#78388f97473c02e5ac8a3742eee4c959
 https://repo.anaconda.com/pkgs/main/linux-64/readline-8.2-h5eee18b_0.conda#be42180685cce6e6b0329201d9f48efb
 https://conda.anaconda.org/conda-forge/linux-64/s2n-1.4.15-he19d79f_0.conda#4c7cc3fa1d2c5a63f9e2b1e2980a1672
 https://conda.anaconda.org/conda-forge/linux-64/spdlog-1.13.0-hd2e6256_0.conda#18f9348f064632785d54dbd1db9344bb
@@ -107,6 +109,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.6.0-h1dd3fc0_3.conda#6
 https://repo.anaconda.com/pkgs/main/linux-64/minizip-4.0.3-hf59b114_0.conda#e1efccc2d4cfe54c7119600ea6dcdbe7
 https://conda.anaconda.org/conda-forge/linux-64/nss-3.100-hca3bf56_0.conda#949c4a82290ee58b3c970cef4bcfd4ad
 https://conda.anaconda.org/conda-forge/linux-64/re2-2023.09.01-h7f4b329_2.conda#8f70e36268dea8eb666ef14c29bd3cda
+https://conda.anaconda.org/conda-forge/linux-64/rsync-3.3.0-he6cb5fe_0.conda#27da3fb7abe92e3ef592eda5321a0230
 https://repo.anaconda.com/pkgs/main/linux-64/sqlite-3.45.3-h5eee18b_0.conda#acf93d6aceb74d6110e20b44cc45939e
 https://repo.anaconda.com/pkgs/main/linux-64/tk-8.6.14-h39e8969_0.conda#78dbc5e3c69143ebc037fc5d5b22e597
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.4-h0b41bf4_2.conda#82b6df12252e6f32402b96dacc656fec
@@ -158,7 +161,7 @@ https://repo.anaconda.com/pkgs/main/noarch/executing-0.8.3-pyhd3eb1b0_0.conda#7b
 https://repo.anaconda.com/pkgs/main/linux-64/filelock-3.13.1-py312h06a4308_0.conda#6a0b440821945eda176c2bd78fd64a56
 https://conda.anaconda.org/conda-forge/linux-64/glib-2.80.2-hf974151_0.conda#d427988dc3dbd0a4c136f52db356cc6a
 https://repo.anaconda.com/pkgs/main/linux-64/h11-0.14.0-py312h06a4308_0.conda#6e32d4e1d4c9409293e63ecf19755482
-https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.3-nompi_hdf9ad27_102.conda#d8cb3688b92e891e1e5f613517a50ca8
+https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.3-nompi_hdf9ad27_103.conda#ef50687276c086d59006696e1153fd60
 https://repo.anaconda.com/pkgs/main/linux-64/idna-3.7-py312h06a4308_0.conda#03cc59cdabff44c47be0fadffcef003c
 https://repo.anaconda.com/pkgs/main/linux-64/importlib_resources-6.1.1-py312h06a4308_1.conda#13691687030e6f6b299bd04173696daf
 https://repo.anaconda.com/pkgs/main/noarch/iniconfig-1.1.1-pyhd3eb1b0_0.tar.bz2#e40edff2c5708f342cef43c7f280c507
@@ -284,6 +287,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/python-dateutil-2.9.0post0-py312h06
 https://repo.anaconda.com/pkgs/main/linux-64/python-dotenv-0.21.0-py312h06a4308_0.conda#f983f4d6278453e00f637442967b29fa
 https://repo.anaconda.com/pkgs/main/linux-64/referencing-0.30.2-py312h06a4308_0.conda#3113fb44293d20eaae1e67a4876751c9
 https://repo.anaconda.com/pkgs/main/linux-64/rfc3339-validator-0.1.4-py312h06a4308_0.conda#2b1db8c436c99c6856a78dad8f2278a1
+https://conda.anaconda.org/conda-forge/noarch/sysrsync-1.1.1-pyhd8ed1ab_0.conda#61b3102a992ef2c82a51c5e386f9aaef
 https://repo.anaconda.com/pkgs/main/linux-64/terminado-0.17.1-py312h06a4308_0.conda#4bc05c7f0c2e64b82882f774752a0263
 https://repo.anaconda.com/pkgs/main/linux-64/tinycss2-1.2.1-py312h06a4308_0.conda#53422e62ac2d242aa12575ba12c2d430
 https://conda.anaconda.org/conda-forge/noarch/typer-slim-0.12.3-pyhd8ed1ab_0.conda#cf2c3a89f89644c53cadbfeb124914e9
@@ -325,7 +329,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/jsonschema-4.19.2-py312h06a4308_0.c
 https://repo.anaconda.com/pkgs/main/linux-64/matplotlib-base-3.8.4-py312h526ad5a_0.conda#82aa62c40bd375ed45589ba536312895
 https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.6.5-nompi_py312h39d4375_101.conda#9033de6c10fd3396990890d8d8a6ac4e
 https://repo.anaconda.com/pkgs/main/linux-64/pandas-2.2.1-py312h526ad5a_0.conda#f292b675711a103bf8a3c577d052171a
-https://conda.anaconda.org/conda-forge/noarch/plum-dispatch-2.3.6-pyhd8ed1ab_0.conda#a805d5ef0fdc9fbee2c07ce24b118550
+https://conda.anaconda.org/conda-forge/noarch/plum-dispatch-2.4.1-pyhd8ed1ab_0.conda#2fffd2371d53e1eefc597bae076eef41
 https://repo.anaconda.com/pkgs/main/linux-64/pydantic-2.5.3-py312h06a4308_0.conda#b584f35c1c23cfe8bfa0ec111df2408e
 https://repo.anaconda.com/pkgs/main/linux-64/pyopenssl-24.0.0-py312h06a4308_0.conda#f93a6ad622b84e53aed3d899b5b36f6a
 https://repo.anaconda.com/pkgs/main/linux-64/scikit-learn-1.4.2-py312h526ad5a_1.conda#7f8e8d231b3df92ca1821f2062c76306
diff --git a/conda-lock.yml b/conda-lock.yml
index 49198a37..2906e9c6 100644
--- a/conda-lock.yml
+++ b/conda-lock.yml
@@ -15,9 +15,9 @@
 version: 1
 metadata:
   content_hash:
-    osx-arm64: 16ab7f522094ab05883469fdd444acf93de252a72d6aec95ee98e67d2b30ff63
-    linux-64: 11beb7914787d1501787a8c8808a03235a67f9bd485168bbba543e06508fbba6
-    linux-aarch64: b8b106436844ebc9aa2ebafdfdbd3041b469ef0627d7145e49777f094172f66b
+    osx-arm64: e6085e96c1ef1b76328590db946e02019a43602a6bfb5964669ea986efa533c6
+    linux-64: e93d626994b24acc9824124ff7f680fce2a576875f8b1052dd7b9635db71c386
+    linux-aarch64: db00b5eb96e5e331116ea643b28eca6b8bb41be698198b6bc678518d5384e367
   channels:
   - url: r
     used_env_vars: []
@@ -2025,7 +2025,7 @@ package:
     libpng: '>=1.6.39,<1.7.0a0'
     libstdcxx-ng: '>=12'
     libxcb: '>=1.15,<1.16.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     pixman: '>=0.42.2,<1.0a0'
     xorg-libice: '>=1.1.1,<2.0a0'
     xorg-libsm: '>=1.2.4,<2.0a0'
@@ -2053,7 +2053,7 @@ package:
     libpng: '>=1.6.39,<1.7.0a0'
     libstdcxx-ng: '>=12'
     libxcb: '>=1.15,<1.16.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     pixman: '>=0.42.2,<1.0a0'
     xorg-libice: '>=1.1.1,<2.0a0'
     xorg-libsm: '>=1.2.4,<2.0a0'
@@ -2080,7 +2080,7 @@ package:
     libcxx: '>=16.0.6'
     libglib: '>=2.78.0,<3.0a0'
     libpng: '>=1.6.39,<1.7.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     pixman: '>=0.42.2,<1.0a0'
     zlib: ''
   url: https://conda.anaconda.org/conda-forge/osx-arm64/cairo-1.18.0-hd1e100b_0.conda
@@ -4572,7 +4572,7 @@ package:
     libgcc-ng: '>=12'
     libjpeg-turbo: '>=3.0.0,<4.0a0'
     libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda
   hash:
     md5: bd77f8da987968ec3927990495dc22e4
@@ -4587,7 +4587,7 @@ package:
     libgcc-ng: '>=12'
     libjpeg-turbo: '>=3.0.0,<4.0a0'
     libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-aarch64/hdf4-4.2.15-hb6ba311_7.conda
   hash:
     md5: e1b6676b77b9690d07ea25de48aed97e
@@ -4601,7 +4601,7 @@ package:
   dependencies:
     libcxx: '>=15.0.7'
     libjpeg-turbo: '>=3.0.0,<4.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
   url: https://conda.anaconda.org/conda-forge/osx-arm64/hdf4-4.2.15-h2ee6834_7.conda
   hash:
     md5: ff5d749fd711dc7759e127db38005924
@@ -4621,10 +4621,10 @@ package:
     libstdcxx-ng: '>=12'
     libzlib: '>=1.2.13,<2.0a0'
     openssl: '>=3.3.0,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.3-nompi_hdf9ad27_102.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.3-nompi_hdf9ad27_103.conda
   hash:
-    md5: d8cb3688b92e891e1e5f613517a50ca8
-    sha256: fcd864371b32e29557dddd7a9fdc60247586fbf321c06fa63dc287e3572ce99f
+    md5: ef50687276c086d59006696e1153fd60
+    sha256: 2bfb909c1baf041f45ce64c7c76a954e8560b8e7ce5ed22ccb7265168288c771
   category: main
   optional: false
 - name: hdf5
@@ -4640,10 +4640,10 @@ package:
     libstdcxx-ng: '>=12'
     libzlib: '>=1.2.13,<2.0a0'
     openssl: '>=3.3.0,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/hdf5-1.14.3-nompi_hd1676c9_102.conda
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/hdf5-1.14.3-nompi_hd1676c9_103.conda
   hash:
-    md5: 66ff29661def48cd13a6cdd5691e8b77
-    sha256: 3d9a6e36a42f915e5d4227bd86f872e0104a33f495a8e67340945caa0089faa8
+    md5: c8a665df88f6d87a04d70a4143d744e8
+    sha256: e1a68fa2b125d8f53cd78b5d24412f5185e26d350eb1ca007b077c118f9d14c3
   category: main
   optional: false
 - name: hdf5
@@ -4659,10 +4659,10 @@ package:
     libgfortran5: '>=13.2.0'
     libzlib: '>=1.2.13,<2.0a0'
     openssl: '>=3.3.0,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/hdf5-1.14.3-nompi_hec07895_102.conda
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/hdf5-1.14.3-nompi_hec07895_103.conda
   hash:
-    md5: 907a46a97e11629c15ff91c42d1db6d2
-    sha256: 7c91f04ba94e8c20b8696d5de74c4b23bdb4a65637d1e9972b4f04212d45da13
+    md5: 198270148a9c94ab7b3635e23b0926d4
+    sha256: 942970f90942d4f8d71f8a1e17b018084b4f28e9eefa231ff008965b112e7091
   category: main
   optional: false
 - name: html5lib
@@ -8396,7 +8396,7 @@ package:
   dependencies:
     bzip2: '>=1.0.8,<2.0a0'
     libgcc-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     openssl: '>=3.1.2,<4.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-64/libzip-1.10.1-h2629f0a_3.conda
   hash:
@@ -8411,7 +8411,7 @@ package:
   dependencies:
     bzip2: '>=1.0.8,<2.0a0'
     libgcc-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     openssl: '>=3.1.2,<4.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-aarch64/libzip-1.10.1-h4156a30_3.conda
   hash:
@@ -8425,7 +8425,7 @@ package:
   platform: osx-arm64
   dependencies:
     bzip2: '>=1.0.8,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
     openssl: '>=3.1.2,<4.0a0'
   url: https://conda.anaconda.org/conda-forge/osx-arm64/libzip-1.10.1-ha0bc3c6_3.conda
   hash:
@@ -10482,45 +10482,45 @@ package:
   category: dev
   optional: true
 - name: plum-dispatch
-  version: 2.3.6
+  version: 2.4.1
   manager: conda
   platform: linux-64
   dependencies:
     beartype: '>=0.12'
     python: '>=3.8'
     rich: '>=10.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/plum-dispatch-2.3.6-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/plum-dispatch-2.4.1-pyhd8ed1ab_0.conda
   hash:
-    md5: a805d5ef0fdc9fbee2c07ce24b118550
-    sha256: 653ee7aad4804a3907e83bf7ece62d99a7b8efeb9cbaba2e837d08c6631c3323
+    md5: 2fffd2371d53e1eefc597bae076eef41
+    sha256: 4179a0b71a0ff5f4def6a2e353cb3f00bf884a8ba384c07c995ffffc37a2a20c
   category: dev
   optional: true
 - name: plum-dispatch
-  version: 2.3.6
+  version: 2.4.1
   manager: conda
   platform: linux-aarch64
   dependencies:
     beartype: '>=0.12'
     python: '>=3.8'
     rich: '>=10.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/plum-dispatch-2.3.6-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/plum-dispatch-2.4.1-pyhd8ed1ab_0.conda
   hash:
-    md5: a805d5ef0fdc9fbee2c07ce24b118550
-    sha256: 653ee7aad4804a3907e83bf7ece62d99a7b8efeb9cbaba2e837d08c6631c3323
+    md5: 2fffd2371d53e1eefc597bae076eef41
+    sha256: 4179a0b71a0ff5f4def6a2e353cb3f00bf884a8ba384c07c995ffffc37a2a20c
   category: dev
   optional: true
 - name: plum-dispatch
-  version: 2.3.6
+  version: 2.4.1
   manager: conda
   platform: osx-arm64
   dependencies:
     beartype: '>=0.12'
     python: '>=3.8'
     rich: '>=10.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/plum-dispatch-2.3.6-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/plum-dispatch-2.4.1-pyhd8ed1ab_0.conda
   hash:
-    md5: a805d5ef0fdc9fbee2c07ce24b118550
-    sha256: 653ee7aad4804a3907e83bf7ece62d99a7b8efeb9cbaba2e837d08c6631c3323
+    md5: 2fffd2371d53e1eefc597bae076eef41
+    sha256: 4179a0b71a0ff5f4def6a2e353cb3f00bf884a8ba384c07c995ffffc37a2a20c
   category: dev
   optional: true
 - name: poppler
@@ -10643,6 +10643,44 @@ package:
     sha256: f57dd3d1d41130c46ee975bf9ff239e0b27048b79a1906baad05fc2adb54784b
   category: main
   optional: false
+- name: popt
+  version: '1.16'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=7.5.0'
+    libiconv: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/popt-1.16-h0b475e3_2002.tar.bz2
+  hash:
+    md5: 78388f97473c02e5ac8a3742eee4c959
+    sha256: 2868865a437515136840dbb7d901adea798128427f32f984cfa4cc56989f90ce
+  category: main
+  optional: false
+- name: popt
+  version: '1.16'
+  manager: conda
+  platform: linux-aarch64
+  dependencies:
+    libgcc-ng: '>=7.5.0'
+    libiconv: ''
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/popt-1.16-h57fc80e_2002.tar.bz2
+  hash:
+    md5: 12d1bf3f929ef6b789a0050c9dbf250b
+    sha256: 306b1bf6a337af6b0efa171e6fd86d33c3f6febdbb0ce097ee6e3bbb51fea06c
+  category: main
+  optional: false
+- name: popt
+  version: '1.16'
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    libiconv: '>=1.16,<2.0.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/popt-1.16-h61edf1b_2002.tar.bz2
+  hash:
+    md5: 46a89e1cbd7f8dcca8bdd2b5a1bfb1f4
+    sha256: b3ccf8160039214e684f19a81212126cdb5c8f19f3601a2491365f0ff0f83672
+  category: main
+  optional: false
 - name: postgresql
   version: '16.3'
   manager: conda
@@ -12685,6 +12723,63 @@ package:
     sha256: 7b8c26a8cdd61a2bfc4105928efc30cb4e91b8d9a7863f35b7dba8e183d63d6d
   category: main
   optional: false
+- name: rsync
+  version: 3.3.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libiconv: '>=1.17,<2.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    popt: '>=1.16,<2.0a0'
+    xxhash: '>=0.8.2,<0.8.3.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/rsync-3.3.0-he6cb5fe_0.conda
+  hash:
+    md5: 27da3fb7abe92e3ef592eda5321a0230
+    sha256: fca85a7561d4f7a129bb7c18d38caf28111c63c49b899e74f9883571a62d81d4
+  category: main
+  optional: false
+- name: rsync
+  version: 3.3.0
+  manager: conda
+  platform: linux-aarch64
+  dependencies:
+    libgcc-ng: '>=12'
+    libiconv: '>=1.17,<2.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    popt: '>=1.16,<2.0a0'
+    xxhash: '>=0.8.2,<0.8.3.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/rsync-3.3.0-hc43869a_0.conda
+  hash:
+    md5: 42a94edfc05b9f6435dd7f75a804113e
+    sha256: a7361b842bfa0fc7e8989a892e1e72677057ccb2dfe23d09df84c45f5e176443
+  category: main
+  optional: false
+- name: rsync
+  version: 3.3.0
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    libcxx: '>=16'
+    libiconv: '>=1.17,<2.0a0'
+    libzlib: '>=1.2.13,<2.0.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    popt: '>=1.16,<2.0a0'
+    xxhash: '>=0.8.2,<0.8.3.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/rsync-3.3.0-h8fab359_0.conda
+  hash:
+    md5: 7d84988fa985d6265b0bb9de23578b69
+    sha256: 809f3a2cb948be4e948b27689b1bc62c2e5364a2a8c312f0cd3c9efcba7a98d4
+  category: main
+  optional: false
 - name: rtree
   version: 1.0.1
   manager: conda
@@ -13536,6 +13631,45 @@ package:
     sha256: 4e1527a4faf81f7d24c529f373c0dc432f2521480dcb528e55333ec8a0520f5a
   category: main
   optional: false
+- name: sysrsync
+  version: 1.1.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.6.0,<4.0.0'
+    toml: '>=0.10.0,<0.11.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/sysrsync-1.1.1-pyhd8ed1ab_0.conda
+  hash:
+    md5: 61b3102a992ef2c82a51c5e386f9aaef
+    sha256: 9fa0f8d53b5de489a4ee152892efc71a480e2d0f56926e21dd308dc769fc6571
+  category: dev
+  optional: true
+- name: sysrsync
+  version: 1.1.1
+  manager: conda
+  platform: linux-aarch64
+  dependencies:
+    python: '>=3.6.0,<4.0.0'
+    toml: '>=0.10.0,<0.11.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/sysrsync-1.1.1-pyhd8ed1ab_0.conda
+  hash:
+    md5: 61b3102a992ef2c82a51c5e386f9aaef
+    sha256: 9fa0f8d53b5de489a4ee152892efc71a480e2d0f56926e21dd308dc769fc6571
+  category: dev
+  optional: true
+- name: sysrsync
+  version: 1.1.1
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    python: '>=3.6.0,<4.0.0'
+    toml: '>=0.10.0,<0.11.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/sysrsync-1.1.1-pyhd8ed1ab_0.conda
+  hash:
+    md5: 61b3102a992ef2c82a51c5e386f9aaef
+    sha256: 9fa0f8d53b5de489a4ee152892efc71a480e2d0f56926e21dd308dc769fc6571
+  category: dev
+  optional: true
 - name: tabulate
   version: 0.9.0
   manager: conda
@@ -15173,6 +15307,41 @@ package:
     sha256: f36ded62d270405be69f430649ee884d8ced80e3bd7c55e0abd9f718d2a1e59e
   category: main
   optional: false
+- name: xxhash
+  version: 0.8.2
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xxhash-0.8.2-hd590300_0.conda
+  hash:
+    md5: f08fb5c89edfc4aadee1c81d4cfb1fa1
+    sha256: 6fe74a8fd84ab0dc25e4dc3e0c22388dd8accb212897a208b14fe5d4fbb8fc2f
+  category: main
+  optional: false
+- name: xxhash
+  version: 0.8.2
+  manager: conda
+  platform: linux-aarch64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/xxhash-0.8.2-h31becfc_0.conda
+  hash:
+    md5: bb9faf6857108a9f62ebb4dab6ef05da
+    sha256: 4c526aed70b579d80e5c20d32130b6bc8bde59b3250d43c2b5269755f4da8a9b
+  category: main
+  optional: false
+- name: xxhash
+  version: 0.8.2
+  manager: conda
+  platform: osx-arm64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/xxhash-0.8.2-hb547adb_0.conda
+  hash:
+    md5: 144cd3b88706507f332f5eb5fb83a33b
+    sha256: a70f59f7221ee72c45b39a6b36a33eb9c717ba01921cce1a3c361a4676979a2e
+  category: main
+  optional: false
 - name: xyzservices
   version: 2022.9.0
   manager: conda
diff --git a/environment.yml b/environment.yml
index 704c5ed1..67dbbaeb 100644
--- a/environment.yml
+++ b/environment.yml
@@ -8,6 +8,7 @@ dependencies:
   - python=3.12
   - gdal=3.8.5
   - parallel
+  - rsync
 platforms:
   - osx-arm64
   - linux-64
diff --git a/python/clim_recal/debiasing/debias_wrapper.py b/python/clim_recal/debiasing/debias_wrapper.py
index f86884bf..3907adb9 100644
--- a/python/clim_recal/debiasing/debias_wrapper.py
+++ b/python/clim_recal/debiasing/debias_wrapper.py
@@ -22,7 +22,7 @@
 PREPROCESS_FILE_NAME: Final[Path] = Path("preprocess_data.py")
 CMETHODS_FILE_NAME: Final[Path] = Path("run_cmethods.py")
 
-PROCESSESORS_DEFAULT: Final[int] = 2
+PROCESSORS_DEFAULT: Final[int] = 2
 RUN_PREFIX_DEFAULT: Final[str] = "python"
 
 MOD_FOLDER_DEFAULT: Final[Path] = Path("Cropped/three.cities/CPM")
@@ -83,7 +83,7 @@ class BaseRunConfig:
     valid_date_start: DateType = VALID_DATE_START_DEFAULT
     valid_date_end: DateType = VALID_DATE_END_DEFAULT
 
-    processors: int = PROCESSESORS_DEFAULT
+    processors: int = PROCESSORS_DEFAULT
 
     date_format_str: str = CLI_DATE_FORMAT_STR
     date_split_str: str = DATE_FORMAT_SPLIT_STR
diff --git a/python/conftest.py b/python/conftest.py
index 18d70251..fdb8c9ef 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -1,7 +1,8 @@
+from argparse import BooleanOptionalAction
 from pathlib import Path
 from pprint import pprint
 from shutil import copytree, rmtree
-from typing import Final, Iterator, Literal
+from typing import Final, Iterator
 
 import pytest
 from coverage_badge.__main__ import main as gen_cov_badge
@@ -27,16 +28,19 @@
     CLI_PREPROCESS_DEFAULT_COMMAND_STR_CORRECT,
     CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT,
     CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT,
+    MOD_FOLDER_FILES_COUNT_CORRECT,
+    OBS_FOLDER_FILES_COUNT_CORRECT,
+    PREPROCESS_OUT_FOLDER_FILES_COUNT_CORRECT,
     TEST_AUTH_CSV_FILE_NAME,
     XARRAY_END_DATE_4_DAYS,
     XARRAY_END_DATE_8_DAYS,
     XARRAY_EXAMPLE_END_DATE_4_YEARS,
     XARRAY_SKIP_2_FROM_8_DAYS,
+    LocalCache,
     xarray_example,
 )
 
 MOUNT_DOCTEST_SKIP_MESSAGE: Final[str] = "requires external data mounted"
-# Date Range covering leap year
 
 BADGE_PATH: Final[Path] = Path("docs") / "assets" / "coverage.svg"
 CLIMATE_DATA_MOUNT_PATH_LINUX: Final[Path] = Path("/mnt/vmfileshare/ClimateData")
@@ -52,15 +56,6 @@
 LOCAL_FIXTURE_PATH_NAME: Final[Path] = Path("local-cache")
 
 
-MOD_FOLDER_FILES_COUNT_CORRECT: Final[int] = 1478
-OBS_FOLDER_FILES_COUNT_CORRECT: Final[int] = MOD_FOLDER_FILES_COUNT_CORRECT
-PREPROCESS_OUT_FOLDER_FILES_COUNT_CORRECT: Final[int] = 4
-
-
-MOUNT_FIXTURE_CONFIG_CHOICES: Final[tuple[str, str]] = ("mount", "local_cache")
-MountFixtureConfigChoices = Literal[*MOUNT_FIXTURE_CONFIG_CHOICES]
-
-
 @pytest.fixture
 def mod_folder_files_count_correct() -> int:
     return MOD_FOLDER_FILES_COUNT_CORRECT
@@ -90,10 +85,6 @@ def data_mount_path() -> Path:
     -------
     The `Path` climate data would likely be mounted to.
     """
-    # if 'localcache' in fixture_data_source_marks:
-    #     assert False
-    #     return LOCAL_CACHE_FIXTURE_PATH
-    # else:
     return climate_data_mount_path()
 
 
@@ -159,7 +150,7 @@ def conda_lock_file_manager() -> CondaLockFileManager:
 
 @pytest.fixture
 def data_fixtures_path(tmp_path: Path) -> Iterator[Path]:
-    yield copytree(TEST_FILE_PATH, tmp_path / TEST_FILE_PATH.name)
+    yield copytree(TEST_DATA_PATH, tmp_path / TEST_FILE_PATH.name)
     rmtree(tmp_path / TEST_FILE_PATH.name)
 
 
@@ -177,25 +168,28 @@ def test_runs_output_path(path=TEST_RESULTS_PATH) -> Iterator[Path]:
 
 
 def pytest_addoption(parser):
-    """Add test cli config options."""
+    """Add cli config to use used cached test fixture files."""
     parser.addoption(
-        "--mount-fixture-config",
-        choices=MOUNT_FIXTURE_CONFIG_CHOICES,
-        # action="store",
-        default="mount",  # 'mount'
-        type=str,
-        help="'mount' or 'local_cache' data fixture types",
+        "--local-cache",
+        action=BooleanOptionalAction,
+        default=True,
+        help="use 'local_cache' data fixtures",
     )
 
 
 @pytest.fixture(scope="session")
-def mount_fixture_config(request) -> MountFixtureConfigChoices:
-    return request.config.getoption("--mount-fixture-config")
+def local_cache(request) -> bool:
+    return request.config.getoption("--local-cache")
+
+
+@pytest.fixture(scope="session")
+def local_test_data_path() -> Path:
+    return TEST_DATA_PATH
 
 
 @pytest.fixture(scope="session")
-def local_cache_path() -> Path:
-    return TEST_DATA_PATH / LOCAL_FIXTURE_PATH_NAME
+def local_cache_path(local_test_data_path) -> Path:
+    return local_test_data_path / LOCAL_FIXTURE_PATH_NAME
 
 
 @pytest.fixture(scope="session")
@@ -276,6 +270,15 @@ def glasgow_example_cropped_cpm_rainfall_path(data_fixtures_path: Path) -> Path:
     )
 
 
+@pytest.fixture
+def glasgow_tif_cache(data_fixtures_path: Path, tmp_path: Path) -> LocalCache:
+    return LocalCache(
+        name="test-users",
+        source_path=data_fixtures_path / "test_user_accounts.xlsx",
+        local_cache_path=tmp_path / "test-local-cache",
+    )
+
+
 @pytest.fixture(autouse=True)
 def doctest_auto_fixtures(
     doctest_namespace: dict,
@@ -350,18 +353,6 @@ def doctest_auto_fixtures(
     doctest_namespace["clim_runner"] = clim_runner
 
 
-# def pytest_generate_tests(metafunc):
-#     """Customise the standard process of generating tests."""
-#     fixture_data_source_marks: list[str] = ['mount']
-#     # use_local_cache: bool = False
-#     # if "use_local_cache" in metafunc.fixturenames:
-#     #use_local_fixture_cache: bool = metafunc.config.getoption("use_local_fixture_cache")
-#     if metafunc.config.getoption("use_local_fixture_cache"):
-#         fixture_data_source_marks.append('localcache')
-#     metafunc.parametrize("fixture_data_sources", fixture_data_source_marks, indirect=True)
-#     # metafunc.parametrize("use_local_cache", use_local_cache)
-
-
 def pytest_sessionfinish(session, exitstatus):
     """Generate badges for docs after tests finish.
 
diff --git a/python/pdm.lock b/python/pdm.lock
index b453cf68..526be200 100644
--- a/python/pdm.lock
+++ b/python/pdm.lock
@@ -5,7 +5,7 @@
 groups = ["default", "dev"]
 strategy = ["cross_platform", "inherit_metadata"]
 lock_version = "4.4.1"
-content_hash = "sha256:996b7c055224d6d78334907c4e0b4d1ca9e0237e6b00b7a81caa5b71213fe036"
+content_hash = "sha256:edcd2288b6d61726de0d0f6c5a47e2e1317d77f386d29e1aa368a581246f43c0"
 
 [[package]]
 name = "affine"
@@ -2914,6 +2914,20 @@ files = [
     {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
 ]
 
+[[package]]
+name = "sysrsync"
+version = "1.1.1"
+requires_python = ">=3.6,<4.0"
+summary = "Simple and safe python wrapper for calling system rsync"
+groups = ["dev"]
+dependencies = [
+    "toml<0.11.0,>=0.10.0",
+]
+files = [
+    {file = "sysrsync-1.1.1-py3-none-any.whl", hash = "sha256:9c8877f162dce9c480804445fca56cd19bf41b998d2172651468ccebfdc60850"},
+    {file = "sysrsync-1.1.1.tar.gz", hash = "sha256:435f9eb620e68ffb18ca5cbad32b113396a432361c7722038eab65c97dd83bd5"},
+]
+
 [[package]]
 name = "tabulate"
 version = "0.9.0"
@@ -2966,6 +2980,17 @@ files = [
     {file = "tinycss2-1.3.0.tar.gz", hash = "sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d"},
 ]
 
+[[package]]
+name = "toml"
+version = "0.10.2"
+requires_python = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+summary = "Python Library for Tom's Obvious, Minimal Language"
+groups = ["dev"]
+files = [
+    {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
+    {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
+]
+
 [[package]]
 name = "tomlkit"
 version = "0.12.5"
diff --git a/python/pyproject.toml b/python/pyproject.toml
index c79a8822..63839a39 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -58,6 +58,7 @@ dev = [
     "pre-commit<4.0.0,>=3.6.2",
     "coverage-badge<2.0.0,>=1.1.0",
     "pytest-xdist>=3.5.0",
+    "sysrsync>=1.1.1",
 ]
 
 [tool.pdm.build]
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 6b671088..3cb81813 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -166,43 +166,32 @@
 )
 
 
-# @pytest.mark.mount
-# @pytest.fixture(scope="session")
-# def tasmax_cpm_1980_raw() -> T_Dataset:
-#     # Backup path if furture rehydration issues
-#     # return open_dataset("/Volumes/vmfileshare/ClimateData/Raw/UKCP2.2/tasmin/05/latest/tasmin_rcp85_land-cpm_uk_2.2km_05_day_19801201-19811130.nc", decode_coords="all")
-#     # return open_dataset(local_cpm_cache_path / UKCP_RAW_TASMAX_1980_FILE, decode_coorda="all")
-#     return open_dataset(UKCP_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
 @pytest.mark.mount
-# @pytest.mark.localcache
-# @pytest.fixture(scope="session", params=("mount", "localcache"))
 @pytest.fixture(scope="session")
 def tasmax_cpm_1980_raw(
-    # request: pytest.FixtureRequest, local_cpm_cache_path: Path,
-    # localfixturecare: bool,
-    mount_fixture_config: str,
+    local_cache: bool,
     local_cpm_cache_path: Path,
 ) -> T_Dataset:
-    if mount_fixture_config == "mount":
-        # return open_dataset(HADS_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
-        return open_dataset(UKCP_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
-    # Using below to manage issues with server mount
-    elif mount_fixture_config == "local_cache":
+    if local_cache:
         return open_dataset(
             local_cpm_cache_path / UKCP_RAW_TASMAX_1980_FILE, decode_coords="all"
         )
     else:
-        raise ValueError(f"only 'mount' and 'localcache' params are supported")
+        return open_dataset(UKCP_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
 
 
 @pytest.mark.mount
 @pytest.fixture(scope="session")
-def tasmax_hads_1980_raw() -> T_Dataset:
-    return open_dataset(HADS_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
-    # Using below to manage issues with server mount
-    # return open_dataset(
-    #     local_hads_cache_path / HADS_RAW_TASMAX_1980_FILE, decode_coords="all"
-    # )
+def tasmax_hads_1980_raw(
+    local_cache: bool,
+    local_hads_cache_path: Path,
+) -> T_Dataset:
+    if local_cache:
+        return open_dataset(
+            local_hads_cache_path / HADS_RAW_TASMAX_1980_FILE, decode_coords="all"
+        )
+    else:
+        return open_dataset(HADS_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
 
 
 @pytest.mark.localcache
@@ -896,15 +885,16 @@ def test_interpolate_coords(
 
 
 @pytest.mark.mount
-@pytest.mark.parametrize(
-    "tasmax_hads_1980_raw_mount_or_local_cache", ("mount", "localcache"), indirect=True
-)
+# @pytest.mark.parametrize(
+#     "tasmax_hads_1980_raw_mount_or_local_cache", ("mount", "localcache"), indirect=True
+# )
 def test_hads_resample_and_reproject(
-    tasmax_hads_1980_raw_mount_or_local_cache: T_Dataset,
+    # tasmax_hads_1980_raw_mount_or_local_cache: T_Dataset,
+    tasmax_hads_1980_raw: T_Dataset,
 ) -> None:
     variable_name: str = "tasmax"
     output_path: Path = Path("tests/runs/reample-hads")
-    tasmax_hads_1980_raw = tasmax_hads_1980_raw_mount_or_local_cache
+    # tasmax_hads_1980_raw = tasmax_hads_1980_raw_mount_or_local_cache
     # First index is for month, in this case January 1980
     plot_xarray(
         tasmax_hads_1980_raw.tasmax[0],
diff --git a/python/tests/utils.py b/python/tests/utils.py
index e2893b8c..f8f6845b 100644
--- a/python/tests/utils.py
+++ b/python/tests/utils.py
@@ -1,10 +1,13 @@
-from collections.abc import Hashable
+import asyncio
+from collections import UserDict
 from dataclasses import dataclass, field
-from datetime import date
+from datetime import date, datetime
+from logging import getLogger
 from os import PathLike
 from pathlib import Path
-from typing import Final, Iterable, Sequence
+from typing import Awaitable, Final, Iterable, Sequence, TypedDict
 
+import sysrsync
 from numpy import array, random
 from pandas import date_range, to_datetime
 from xarray import DataArray
@@ -19,7 +22,7 @@
     OBS_FOLDER_DEFAULT,
     PREPROCESS_FILE_NAME,
     PREPROCESS_OUT_FOLDER_DEFAULT,
-    PROCESSESORS_DEFAULT,
+    PROCESSORS_DEFAULT,
     VALID_DATES_STR_DEFAULT,
     CityOptions,
     MethodOptions,
@@ -37,6 +40,8 @@
 )
 from clim_recal.utils.xarray import THREE_CITY_CENTRE_COORDS
 
+logger = getLogger(__name__)
+
 XARRAY_EXAMPLE_RANDOM_SEED: Final[int] = 0
 # Default 4 year start and end date covering leap year
 XARRAY_EXAMPLE_START_DATE_STR: Final[str] = "1980-11-30"
@@ -83,7 +88,7 @@
     CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT
 )
 
-CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT: Final[tuple[str | Path, ...]] = (
+CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT: Final[tuple[str | Path | int, ...]] = (
     "python",
     CMETHODS_FILE_NAME,
     "--input_data_folder",
@@ -100,7 +105,7 @@
     "-v",
     VariableOptions.default(),
     "-p",
-    PROCESSESORS_DEFAULT,
+    PROCESSORS_DEFAULT,
 )
 
 CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_STR_CORRECT: Final[
@@ -111,6 +116,10 @@
     CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_STR_CORRECT
 )
 
+MOD_FOLDER_FILES_COUNT_CORRECT: Final[int] = 1478
+OBS_FOLDER_FILES_COUNT_CORRECT: Final[int] = MOD_FOLDER_FILES_COUNT_CORRECT
+PREPROCESS_OUT_FOLDER_FILES_COUNT_CORRECT: Final[int] = 4
+
 
 class StandardWith360DayError(Exception):
     ...
@@ -254,6 +263,210 @@ def xarray_example(
         return da
 
 
+CacheLogType = tuple[str, datetime | None, Path]
+SyncedLog = TypedDict("SyncedLog", {"time": datetime | None, "path": Path})
+
+
 @dataclass
-class LocalCache(Hashable):
-    server_paths: Sequence[PathLike] = field(default_factory=tuple)
+class LocalCache:
+
+    """Manager for caching files locally.
+
+    Attributes
+    ----------
+    source_path
+        Path to file to cache
+    local_cache_folder
+        Optional path to save `cache_path` relative to.
+    local_cache_path
+        Path to copy `source_path` to within `local_cache_folder`.
+    reader
+        Optional function to call to read cached file with.
+    reader_kwargs
+        Any parameters to pass to `reader`.
+
+    Examples
+    --------
+    >>> tmp_path = getfixture('tmp_path')
+    >>> cacher: LocalCache = LocalCache(
+    ...     name="example-user-config",
+    ...     source_path=(data_fixtures_path /
+    ...                  'test_user_accounts.xlsx'),
+    ...     local_cache_path=tmp_path,)
+    >>> cacher
+    <LocalCache(name='example-user-config', is_cached=False)>
+    >>> pprint(cacher.sync())
+    ('example-user-config',
+     datetime.datetime(...),
+     ...Path('.../test_user_accounts.xlsx'))
+    >>> cacher.cache_path.is_file()
+    True
+    >>> cacher
+    <LocalCache(name='example-user-config', is_cached=True)>
+    """
+
+    name: str
+    source_path: PathLike
+    local_cache_path: PathLike
+    created: datetime | None = None
+    synced: datetime | None = None
+    _make_local_cache_folders: bool = True
+
+    # reader: Callable | None
+    # reader_kwargs: dict[str, Any] = field(default_factory=dict)
+    def __repr__(self) -> str:
+        """Summary of caching config."""
+        return f"<LocalCache(name='{self.name}', is_cached={self.is_cached})>"
+
+    def __post_init__(self) -> None:
+        """Account `self.cache_path` consistency."""
+        self.source_path = Path(self.source_path)
+        self.local_cache_path = Path(self.local_cache_path)
+        try:
+            assert self.source_path.is_file()
+        except:
+            raise ValueError(f"Only files can be cached, not: '{self.source_path}'")
+        if self._make_local_cache_folders:
+            self.local_cache_path.mkdir(parents=True, exist_ok=True)
+
+    @property
+    def is_cached(self) -> bool:
+        """Whether `self.source_path` has been cached."""
+        return self.cache_path.is_file()
+
+    @property
+    def cache_path(self) -> Path:
+        """Path to copy `source_path` file to."""
+        assert isinstance(self.source_path, Path)
+        assert isinstance(self.local_cache_path, Path)
+        if not self.local_cache_path.is_file():
+            logger.debug(
+                f"'local_cache_path' is a folder: "
+                f"'{self.local_cache_path}'. Inferring file name "
+                f"from 'source_path': '{self.source_path}'."
+            )
+            return self.local_cache_path / self.source_path.name
+        else:
+            return self.local_cache_path
+
+    @property
+    def source_path_exists(self) -> bool:
+        """Whether `self.source_path` is a file."""
+        return Path(self.source_path).is_file()
+
+    def _check_source_path(self, fail_if_no_source: bool = True) -> bool:
+        """Check access to `self.source_path`."""
+        if not self.source_path_exists:
+            message: str = (
+                f"No access, pehaps because server not mounted, to: "
+                f"'{self.source_path}'"
+            )
+            if fail_if_no_source:
+                raise FileNotFoundError(message)
+            else:
+                logger.error(message)
+                return False
+        else:
+            return True
+
+    def _update_synced(self) -> None:
+        """Update `self.synced` and `self.created`."""
+        self.synced = datetime.now()
+        if not self.created:
+            self.created = self.synced
+
+    async def async_sync(
+        self, fail_if_no_source: bool = True, **kwargs
+    ) -> CacheLogType:
+        """Asyncronously sync `self.source_path` to `self.cache_path`."""
+        if self._check_source_path(fail_if_no_source=fail_if_no_source):
+            await asyncio.create_subprocess_exec(
+                "rsync", str(self.source_path), str(self.cache_path), **kwargs
+            )
+            self._update_synced()
+        return self.name, self.synced, self.cache_path
+
+    def sync(self, fail_if_no_source: bool = True, **kwargs) -> CacheLogType:
+        """Sync `self.source_path` to `self.cache_path`."""
+        if self._check_source_path(fail_if_no_source=fail_if_no_source):
+            sysrsync.run(
+                source=str(self.source_path), destination=str(self.cache_path), **kwargs
+            )
+            self._update_synced()
+        return self.name, self.synced, self.cache_path
+
+
+@dataclass
+class LocalCachesManager(UserDict):
+
+    """Manager for a set of local caches.
+
+    Attributes
+    ----------
+    sources
+        A `dict` of `name`: `configs` to construct `LocalCache` instances
+
+    Examples
+    --------
+    >>> glasow_tif_cache = getfixture('glasgow_tif_cache')
+    >>> cache_configs = LocalCachesManager([glasow_tif_cache])
+    >>> cache_configs
+    <LocalCachesManager(count=1)>
+    >>> asyncio.run(cache_configs.async_sync_all())
+    (...Path('.../test-local-cache/test_user_accounts.xlsx'),)
+    >>> 'test-users' in cache_configs._synced
+    True
+    >>> cache_configs.sync_all()
+    (...Path('.../test-local-cache/test_user_accounts.xlsx'),)
+    >>> cache_configs['test-users'].cache_path.is_file()
+    True
+    """
+
+    caches: Sequence[LocalCache] | None
+    _synced: dict[str, SyncedLog] = field(default_factory=dict)
+
+    def __repr__(self) -> str:
+        """Summary of config."""
+        return f"<LocalCachesManager(count={len(self)})>"
+
+    def _sync_caches_attr(self) -> None:
+        """Sync `self.caches` and `self.data`."""
+        if self.caches:
+            self.data = {cache.name: cache for cache in self.caches}
+
+    def __post_init__(self) -> None:
+        """Populate the `data` attribute."""
+        self._sync_caches_attr()
+
+    @property
+    def cached_paths(self) -> tuple[Path, ...]:
+        """Return paths currently logged as cached."""
+        return tuple(synced_path["path"] for synced_path in self._synced.values())
+
+    def sync_all(self, fail_if_no_source: bool = True, **kwargs) -> tuple[Path, ...]:
+        """Run `sync` on all `self.caches` instances."""
+        sync_results: CacheLogType
+        for local_cacher in self.values():
+            sync_results = local_cacher.sync(
+                fail_if_no_source=fail_if_no_source, **kwargs
+            )
+            self._synced[local_cacher.name] = {
+                "time": sync_results[1],
+                "path": sync_results[2],
+            }
+        return self.cached_paths
+
+    async def async_sync_all(
+        self, fail_if_no_source: bool = True, **kwargs
+    ) -> tuple[Path, ...]:
+        """Run `sync` on all `self.caches` instances."""
+        async_save_calls: list[Awaitable] = [
+            local_cacher.async_sync(fail_if_no_source=fail_if_no_source, **kwargs)
+            for local_cacher in self.values()
+        ]
+        async_results: list[CacheLogType] = await asyncio.gather(*async_save_calls)
+        self._synced = {
+            result[0]: {"time": result[1], "path": result[2]}
+            for result in async_results
+        }
+        return self.cached_paths

From d8bb82b478118d728d94bf36f43272991612419e Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Mon, 3 Jun 2024 01:23:34 +0100
Subject: [PATCH 13/92] test: remove
 `tasmax_hads_1980_raw_mount_or_local_cache` fixture

---
 python/tests/test_resample.py | 23 -----------------------
 1 file changed, 23 deletions(-)

diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 3cb81813..ce67f340 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -194,22 +194,6 @@ def tasmax_hads_1980_raw(
         return open_dataset(HADS_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
 
 
-@pytest.mark.localcache
-@pytest.fixture(scope="session", params=("mount", "localcache"))
-def tasmax_hads_1980_raw_mount_or_local_cache(
-    request: pytest.FixtureRequest, local_hads_cache_path
-) -> T_Dataset:
-    if request.param == "mount":
-        return open_dataset(HADS_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
-    # Using below to manage issues with server mount
-    elif request.param == "localcache":
-        return open_dataset(
-            local_hads_cache_path / HADS_RAW_TASMAX_1980_FILE, decode_coords="all"
-        )
-    else:
-        raise ValueError(f"only 'mount' and 'localcache' params are supported")
-
-
 @pytest.fixture(scope="session")
 def reference_final_coord_grid() -> T_Dataset:
     return open_dataset(DEFAULT_RELATIVE_GRID_DATA_PATH, decode_coords="all")
@@ -852,8 +836,6 @@ def test_interpolate_coords(
             **kwargs,
         )
         assert reprojected_xr_time_series.dims["time"] == 31
-        # assert reprojected_xr_time_series.dims[HADS_XDIM] == 528
-        # assert reprojected_xr_time_series.dims[HADS_YDIM] == 651
         assert_allclose(
             reprojected_xr_time_series.tasmax[10][430][230:250],
             FINAL_HADS_JAN_10_430_X_230_250_Y,
@@ -885,16 +867,11 @@ def test_interpolate_coords(
 
 
 @pytest.mark.mount
-# @pytest.mark.parametrize(
-#     "tasmax_hads_1980_raw_mount_or_local_cache", ("mount", "localcache"), indirect=True
-# )
 def test_hads_resample_and_reproject(
-    # tasmax_hads_1980_raw_mount_or_local_cache: T_Dataset,
     tasmax_hads_1980_raw: T_Dataset,
 ) -> None:
     variable_name: str = "tasmax"
     output_path: Path = Path("tests/runs/reample-hads")
-    # tasmax_hads_1980_raw = tasmax_hads_1980_raw_mount_or_local_cache
     # First index is for month, in this case January 1980
     plot_xarray(
         tasmax_hads_1980_raw.tasmax[0],

From 1b2b7ec138690aa4c68c49f48680d2dc4de7be77 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Mon, 3 Jun 2024 14:36:59 +0100
Subject: [PATCH 14/92] feat(test): add `read` method to `LocalCache` with
 `cli` `pytest` options.

---
 python/conftest.py            | 22 ++++++++++
 python/tests/test_resample.py | 54 +++++++++++++++++-------
 python/tests/utils.py         | 79 ++++++++++++++++++++++++++++++-----
 3 files changed, 130 insertions(+), 25 deletions(-)

diff --git a/python/conftest.py b/python/conftest.py
index fdb8c9ef..4f4f90b4 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -175,6 +175,18 @@ def pytest_addoption(parser):
         default=True,
         help="use 'local_cache' data fixtures",
     )
+    parser.addoption(
+        "--sync-all",
+        action=BooleanOptionalAction,
+        default=False,
+        help="sync all local cached data fixtures",
+    )
+    parser.addoption(
+        "--use-async",
+        action=BooleanOptionalAction,
+        default=False,
+        help="Use asyc if --sync-all is used",
+    )
 
 
 @pytest.fixture(scope="session")
@@ -182,6 +194,16 @@ def local_cache(request) -> bool:
     return request.config.getoption("--local-cache")
 
 
+@pytest.fixture(scope="session")
+def sync_all(request) -> bool:
+    return request.config.getoption("--sync-all")
+
+
+@pytest.fixture(scope="session")
+def use_async(request) -> bool:
+    return request.config.getoption("--use-async")
+
+
 @pytest.fixture(scope="session")
 def local_test_data_path() -> Path:
     return TEST_DATA_PATH
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index ce67f340..1211e6dc 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -1,3 +1,4 @@
+import asyncio
 from datetime import date, datetime
 from pathlib import Path
 from typing import Any, Final, Literal
@@ -63,7 +64,7 @@
     plot_xarray,
 )
 
-from .utils import xarray_example, year_days_count
+from .utils import LocalCache, LocalCachesManager, xarray_example, year_days_count
 
 HADS_UK_TASMAX_DAY_SERVER_PATH: Final[Path] = Path("Raw/HadsUKgrid/tasmax/day")
 HADS_UK_RESAMPLED_DAY_SERVER_PATH: Final[Path] = Path(
@@ -166,32 +167,55 @@
 )
 
 
+@pytest.fixture(scope="session")
+def local_cach_fixtures(
+    local_cpm_cache_path: Path,
+    local_hads_cache_path: Path,
+    sync_all: bool,
+    use_async: bool,
+) -> LocalCachesManager:
+    cache_manager: LocalCachesManager = LocalCachesManager(
+        caches=(
+            LocalCache(
+                name="tasmax_cpm_1980_raw",
+                source_path=UKCP_RAW_TASMAX_EXAMPLE_PATH,
+                local_cache_path=local_cpm_cache_path / UKCP_RAW_TASMAX_1980_FILE,
+                reader=open_dataset,
+                reader_kwargs={"decode_coords": "all"},
+            ),
+            LocalCache(
+                name="tasmax_hads_1980_raw",
+                source_path=HADS_RAW_TASMAX_EXAMPLE_PATH,
+                local_cache_path=local_hads_cache_path / HADS_RAW_TASMAX_1980_FILE,
+                reader=open_dataset,
+                reader_kwargs={"decode_coords": "all"},
+            ),
+        )
+    )
+    if sync_all:
+        if use_async:
+            _ = asyncio.run(cache_manager.async_sync_all())
+        else:
+            _ = cache_manager.sync_all()
+    return cache_manager
+
+
 @pytest.mark.mount
 @pytest.fixture(scope="session")
 def tasmax_cpm_1980_raw(
     local_cache: bool,
-    local_cpm_cache_path: Path,
+    local_cach_fixtures: LocalCachesManager,
 ) -> T_Dataset:
-    if local_cache:
-        return open_dataset(
-            local_cpm_cache_path / UKCP_RAW_TASMAX_1980_FILE, decode_coords="all"
-        )
-    else:
-        return open_dataset(UKCP_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
+    return local_cach_fixtures["tasmax_cpm_1980_raw"].read(cache_path=local_cache)
 
 
 @pytest.mark.mount
 @pytest.fixture(scope="session")
 def tasmax_hads_1980_raw(
     local_cache: bool,
-    local_hads_cache_path: Path,
+    local_cach_fixtures: LocalCachesManager,
 ) -> T_Dataset:
-    if local_cache:
-        return open_dataset(
-            local_hads_cache_path / HADS_RAW_TASMAX_1980_FILE, decode_coords="all"
-        )
-    else:
-        return open_dataset(HADS_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all")
+    return local_cach_fixtures["tasmax_hads_1980_raw"].read(cache_path=local_cache)
 
 
 @pytest.fixture(scope="session")
diff --git a/python/tests/utils.py b/python/tests/utils.py
index f8f6845b..95eb9a1d 100644
--- a/python/tests/utils.py
+++ b/python/tests/utils.py
@@ -5,7 +5,7 @@
 from logging import getLogger
 from os import PathLike
 from pathlib import Path
-from typing import Awaitable, Final, Iterable, Sequence, TypedDict
+from typing import Any, Awaitable, Callable, Final, Iterable, Sequence, TypedDict
 
 import sysrsync
 from numpy import array, random
@@ -310,10 +310,12 @@ class LocalCache:
     local_cache_path: PathLike
     created: datetime | None = None
     synced: datetime | None = None
-    _make_local_cache_folders: bool = True
 
-    # reader: Callable | None
-    # reader_kwargs: dict[str, Any] = field(default_factory=dict)
+    reader: Callable | None = None
+    reader_kwargs: dict[str, Any] = field(default_factory=dict)
+
+    _make_parent_folders: bool = True
+
     def __repr__(self) -> str:
         """Summary of caching config."""
         return f"<LocalCache(name='{self.name}', is_cached={self.is_cached})>"
@@ -322,12 +324,11 @@ def __post_init__(self) -> None:
         """Account `self.cache_path` consistency."""
         self.source_path = Path(self.source_path)
         self.local_cache_path = Path(self.local_cache_path)
-        try:
-            assert self.source_path.is_file()
-        except:
-            raise ValueError(f"Only files can be cached, not: '{self.source_path}'")
-        if self._make_local_cache_folders:
-            self.local_cache_path.mkdir(parents=True, exist_ok=True)
+        if self.source_path.exists():
+            if not self.source_path.is_file():
+                raise ValueError(f"Only files can be cached, not: '{self.source_path}'")
+        if self._make_parent_folders:
+            self.cache_path.parent.mkdir(parents=True, exist_ok=True)
 
     @property
     def is_cached(self) -> bool:
@@ -395,6 +396,64 @@ def sync(self, fail_if_no_source: bool = True, **kwargs) -> CacheLogType:
             self._update_synced()
         return self.name, self.synced, self.cache_path
 
+    def read(self, cache_path: bool = True, run_sync: bool = False, **kwargs) -> Any:
+        """Read file using `self.reader` and `self.kwargs`.
+
+        Parameters
+        ----------
+        cache_path
+            Whether to read `self.cache_path` (`True`) or `self.source_path` (`False`).
+        run_sync
+            Whether to run `run_sync` if `self.cache_path` is not set.
+
+        Returns
+        -------
+        A processed version of either `self.cache_path` or `self.source_path`.
+
+        Examples
+        --------
+        >>> glasgow_tif_cache = getfixture('glasgow_tif_cache')
+        >>> glasgow_tif_cache.read()
+        Traceback (most recent call last):
+            ...
+        ValueError: `reader` attribute must be set for
+        <LocalCache(name='test-users', is_cached=False)>
+        >>> from pandas import read_excel
+        >>> glasgow_tif_cache.reader = read_excel
+        >>> glasgow_tif_cache.read()
+        Traceback (most recent call last):
+            ...
+        ValueError: Can't use `local_path` prior to
+        cache run. Run with `run_sync` to override for
+        <LocalCache(name='test-users', is_cached=False)>.
+        >>> glasgow_tif_cache.read(run_sync=True)
+           A Column User Name      Password
+        0         1     sally        a pass
+        1         2    george  another pass
+        2        34      jean       passing
+        3         4  felicity      pastoral
+        4         2     frank        plough
+        >>> glasgow_tif_cache
+        <LocalCache(name='test-users', is_cached=True)>
+        """
+        if not self.reader:
+            raise ValueError(f"`reader` attribute must be set for {self}")
+        path: Path
+        if cache_path:
+            if self.is_cached:
+                path = self.cache_path
+            elif run_sync:
+                _, _, path = self.sync()
+            else:
+                raise ValueError(
+                    f"Can't use `local_path` prior to cache run. "
+                    f"Run with `run_sync` to override for {self}."
+                )
+        else:
+            self._check_source_path()
+            path = Path(self.source_path)
+        return self.reader(path, **(kwargs | self.reader_kwargs))
+
 
 @dataclass
 class LocalCachesManager(UserDict):

From e73fc497971037de80c72f117abcc1f6714ac3ba Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 4 Jun 2024 10:42:06 +0100
Subject: [PATCH 15/92] test: refactor `local_cache_fixtures` -> `conftest.py`

---
 python/conftest.py            |  41 +++++++++++++-
 python/tests/test_resample.py | 103 +++++++++++++---------------------
 python/tests/utils.py         |  35 +++++++++++-
 3 files changed, 113 insertions(+), 66 deletions(-)

diff --git a/python/conftest.py b/python/conftest.py
index 4f4f90b4..fdcb0235 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -1,3 +1,4 @@
+import asyncio
 from argparse import BooleanOptionalAction
 from pathlib import Path
 from pprint import pprint
@@ -6,7 +7,7 @@
 
 import pytest
 from coverage_badge.__main__ import main as gen_cov_badge
-from xarray import DataArray, Dataset
+from xarray import DataArray, Dataset, open_dataset
 
 from clim_recal.config import ClimRecalConfig
 from clim_recal.debiasing.debias_wrapper import CityOptions
@@ -28,15 +29,20 @@
     CLI_PREPROCESS_DEFAULT_COMMAND_STR_CORRECT,
     CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT,
     CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT,
+    HADS_RAW_TASMAX_1980_FILE,
+    HADS_RAW_TASMAX_EXAMPLE_PATH,
     MOD_FOLDER_FILES_COUNT_CORRECT,
     OBS_FOLDER_FILES_COUNT_CORRECT,
     PREPROCESS_OUT_FOLDER_FILES_COUNT_CORRECT,
     TEST_AUTH_CSV_FILE_NAME,
+    UKCP_RAW_TASMAX_1980_FILE,
+    UKCP_RAW_TASMAX_EXAMPLE_PATH,
     XARRAY_END_DATE_4_DAYS,
     XARRAY_END_DATE_8_DAYS,
     XARRAY_EXAMPLE_END_DATE_4_YEARS,
     XARRAY_SKIP_2_FROM_8_DAYS,
     LocalCache,
+    LocalCachesManager,
     xarray_example,
 )
 
@@ -99,6 +105,39 @@ def is_data_mounted(data_mount_path) -> bool:
     return is_climate_data_mounted(mount_path=data_mount_path)
 
 
+@pytest.fixture(scope="session")
+def local_cach_fixtures(
+    local_cpm_cache_path: Path,
+    local_hads_cache_path: Path,
+    sync_all: bool,
+    use_async: bool,
+) -> LocalCachesManager:
+    cache_manager: LocalCachesManager = LocalCachesManager(
+        caches=(
+            LocalCache(
+                name="tasmax_cpm_1980_raw",
+                source_path=UKCP_RAW_TASMAX_EXAMPLE_PATH,
+                local_cache_path=local_cpm_cache_path / UKCP_RAW_TASMAX_1980_FILE,
+                reader=open_dataset,
+                reader_kwargs={"decode_coords": "all"},
+            ),
+            LocalCache(
+                name="tasmax_hads_1980_raw",
+                source_path=HADS_RAW_TASMAX_EXAMPLE_PATH,
+                local_cache_path=local_hads_cache_path / HADS_RAW_TASMAX_1980_FILE,
+                reader=open_dataset,
+                reader_kwargs={"decode_coords": "all"},
+            ),
+        )
+    )
+    if sync_all:
+        if use_async:
+            _ = asyncio.run(cache_manager.async_sync_all())
+        else:
+            _ = cache_manager.sync_all()
+    return cache_manager
+
+
 # This may be removed in future
 # @pytest.fixture(autouse=True)
 def ensure_python_path() -> None:
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 1211e6dc..e719b3cd 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -1,4 +1,3 @@
-import asyncio
 from datetime import date, datetime
 from pathlib import Path
 from typing import Any, Final, Literal
@@ -64,38 +63,47 @@
     plot_xarray,
 )
 
-from .utils import LocalCache, LocalCachesManager, xarray_example, year_days_count
-
-HADS_UK_TASMAX_DAY_SERVER_PATH: Final[Path] = Path("Raw/HadsUKgrid/tasmax/day")
-HADS_UK_RESAMPLED_DAY_SERVER_PATH: Final[Path] = Path(
-    "Processed/HadsUKgrid/resampled_2.2km/tasmax/day"
-)
-
-UKCP_RAW_TASMAX_1980_FILE: Final[Path] = Path(
-    "tasmax_rcp85_land-cpm_uk_2.2km_01_day_19801201-19811130.nc"
-)
-HADS_RAW_TASMAX_1980_FILE: Final[Path] = Path(
-    "tasmax_hadukgrid_uk_1km_day_19800101-19800131.nc"
-)
-
-HADS_UK_TASMAX_LOCAL_TEST_PATH: Final[Path] = (
-    Path(HadUKGrid.slug) / HADS_RAW_TASMAX_1980_FILE
-)
-
-UKCP_TASMAX_DAY_SERVER_PATH: Final[Path] = Path("Raw/UKCP2.2/tasmax/01/latest")
-# Todo: Change "tasmax_rcp85_land-cpm_uk_2.2km_01_day_19801201-19811130.nc"
-# to "tasmax_cpm_example.nc"
-UKCP_TASMAX_LOCAL_TEST_PATH: Final[Path] = (
-    Path(UKCPLocalProjections.slug) / UKCP_RAW_TASMAX_1980_FILE
+from .utils import (
+    HADS_UK_TASMAX_DAY_SERVER_PATH,
+    HADS_UK_TASMAX_LOCAL_TEST_PATH,
+    UKCP_RAW_TASMAX_EXAMPLE_PATH,
+    UKCP_TASMAX_DAY_SERVER_PATH,
+    UKCP_TASMAX_LOCAL_TEST_PATH,
+    LocalCachesManager,
+    xarray_example,
+    year_days_count,
 )
 
-UKCP_RAW_TASMAX_EXAMPLE_PATH: Final[Path] = (
-    RAW_CPM_TASMAX_PATH / UKCP_RAW_TASMAX_1980_FILE
-)
-
-HADS_RAW_TASMAX_EXAMPLE_PATH: Final[Path] = (
-    RAW_HADS_TASMAX_PATH / HADS_RAW_TASMAX_1980_FILE
-)
+# HADS_UK_TASMAX_DAY_SERVER_PATH: Final[Path] = Path("Raw/HadsUKgrid/tasmax/day")
+# HADS_UK_RESAMPLED_DAY_SERVER_PATH: Final[Path] = Path(
+#     "Processed/HadsUKgrid/resampled_2.2km/tasmax/day"
+# )
+#
+# UKCP_RAW_TASMAX_1980_FILE: Final[Path] = Path(
+#     "tasmax_rcp85_land-cpm_uk_2.2km_01_day_19801201-19811130.nc"
+# )
+# HADS_RAW_TASMAX_1980_FILE: Final[Path] = Path(
+#     "tasmax_hadukgrid_uk_1km_day_19800101-19800131.nc"
+# )
+#
+# HADS_UK_TASMAX_LOCAL_TEST_PATH: Final[Path] = (
+#     Path(HadUKGrid.slug) / HADS_RAW_TASMAX_1980_FILE
+# )
+#
+# UKCP_TASMAX_DAY_SERVER_PATH: Final[Path] = Path("Raw/UKCP2.2/tasmax/01/latest")
+# # Todo: Change "tasmax_rcp85_land-cpm_uk_2.2km_01_day_19801201-19811130.nc"
+# # to "tasmax_cpm_example.nc"
+# UKCP_TASMAX_LOCAL_TEST_PATH: Final[Path] = (
+#     Path(UKCPLocalProjections.slug) / UKCP_RAW_TASMAX_1980_FILE
+# )
+#
+# UKCP_RAW_TASMAX_EXAMPLE_PATH: Final[Path] = (
+#     RAW_CPM_TASMAX_PATH / UKCP_RAW_TASMAX_1980_FILE
+# )
+#
+# HADS_RAW_TASMAX_EXAMPLE_PATH: Final[Path] = (
+#     RAW_HADS_TASMAX_PATH / HADS_RAW_TASMAX_1980_FILE
+# )
 
 HADS_FIRST_DATES: np.array = np.array(
     ["19800101", "19800102", "19800103", "19800104", "19800105"]
@@ -167,39 +175,6 @@
 )
 
 
-@pytest.fixture(scope="session")
-def local_cach_fixtures(
-    local_cpm_cache_path: Path,
-    local_hads_cache_path: Path,
-    sync_all: bool,
-    use_async: bool,
-) -> LocalCachesManager:
-    cache_manager: LocalCachesManager = LocalCachesManager(
-        caches=(
-            LocalCache(
-                name="tasmax_cpm_1980_raw",
-                source_path=UKCP_RAW_TASMAX_EXAMPLE_PATH,
-                local_cache_path=local_cpm_cache_path / UKCP_RAW_TASMAX_1980_FILE,
-                reader=open_dataset,
-                reader_kwargs={"decode_coords": "all"},
-            ),
-            LocalCache(
-                name="tasmax_hads_1980_raw",
-                source_path=HADS_RAW_TASMAX_EXAMPLE_PATH,
-                local_cache_path=local_hads_cache_path / HADS_RAW_TASMAX_1980_FILE,
-                reader=open_dataset,
-                reader_kwargs={"decode_coords": "all"},
-            ),
-        )
-    )
-    if sync_all:
-        if use_async:
-            _ = asyncio.run(cache_manager.async_sync_all())
-        else:
-            _ = cache_manager.sync_all()
-    return cache_manager
-
-
 @pytest.mark.mount
 @pytest.fixture(scope="session")
 def tasmax_cpm_1980_raw(
diff --git a/python/tests/utils.py b/python/tests/utils.py
index 95eb9a1d..4c145d74 100644
--- a/python/tests/utils.py
+++ b/python/tests/utils.py
@@ -29,6 +29,7 @@
     RunOptions,
     VariableOptions,
 )
+from clim_recal.resample import RAW_CPM_TASMAX_PATH, RAW_HADS_TASMAX_PATH
 from clim_recal.utils.core import (
     CPM_YEAR_DAYS,
     ISO_DATE_FORMAT_STR,
@@ -38,10 +39,42 @@
     date_range_generator,
     iter_to_tuple_strs,
 )
+from clim_recal.utils.data import HadUKGrid, UKCPLocalProjections
 from clim_recal.utils.xarray import THREE_CITY_CENTRE_COORDS
 
 logger = getLogger(__name__)
 
+HADS_UK_TASMAX_DAY_SERVER_PATH: Final[Path] = Path("Raw/HadsUKgrid/tasmax/day")
+HADS_UK_RESAMPLED_DAY_SERVER_PATH: Final[Path] = Path(
+    "Processed/HadsUKgrid/resampled_2.2km/tasmax/day"
+)
+
+UKCP_RAW_TASMAX_1980_FILE: Final[Path] = Path(
+    "tasmax_rcp85_land-cpm_uk_2.2km_01_day_19801201-19811130.nc"
+)
+HADS_RAW_TASMAX_1980_FILE: Final[Path] = Path(
+    "tasmax_hadukgrid_uk_1km_day_19800101-19800131.nc"
+)
+
+HADS_UK_TASMAX_LOCAL_TEST_PATH: Final[Path] = (
+    Path(HadUKGrid.slug) / HADS_RAW_TASMAX_1980_FILE
+)
+
+UKCP_TASMAX_DAY_SERVER_PATH: Final[Path] = Path("Raw/UKCP2.2/tasmax/01/latest")
+# Todo: Change "tasmax_rcp85_land-cpm_uk_2.2km_01_day_19801201-19811130.nc"
+# to "tasmax_cpm_example.nc"
+UKCP_TASMAX_LOCAL_TEST_PATH: Final[Path] = (
+    Path(UKCPLocalProjections.slug) / UKCP_RAW_TASMAX_1980_FILE
+)
+
+UKCP_RAW_TASMAX_EXAMPLE_PATH: Final[Path] = (
+    RAW_CPM_TASMAX_PATH / UKCP_RAW_TASMAX_1980_FILE
+)
+
+HADS_RAW_TASMAX_EXAMPLE_PATH: Final[Path] = (
+    RAW_HADS_TASMAX_PATH / HADS_RAW_TASMAX_1980_FILE
+)
+
 XARRAY_EXAMPLE_RANDOM_SEED: Final[int] = 0
 # Default 4 year start and end date covering leap year
 XARRAY_EXAMPLE_START_DATE_STR: Final[str] = "1980-11-30"
@@ -181,7 +214,7 @@ def xarray_example(
     start_date: DateType = XARRAY_EXAMPLE_START_DATE_STR,
     end_date: DateType = XARRAY_EXAMPLE_END_DATE_4_YEARS,
     coordinates: dict[str, tuple[float, float]] = THREE_CITY_CENTRE_COORDS,
-    skip_dates: Iterable[date] | None = None,
+    skip_dates: Iterable[date | str] | None = None,
     random_seed_int: int | None = XARRAY_EXAMPLE_RANDOM_SEED,
     name: str | None = None,
     as_dataset: bool = False,

From 3dc7b0f34ae97bf4f9f86dc9a295bca8f297ee66 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 4 Jun 2024 11:52:07 +0100
Subject: [PATCH 16/92] fix: exclude `.conda-linux-64.lock` from
 `.dockerignore`

---
 .dockerignore | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.dockerignore b/.dockerignore
index 2fe658b6..4c216545 100644
--- a/.dockerignore
+++ b/.dockerignore
@@ -13,3 +13,5 @@ python/tests/data/test-run-results*
 **/*.tic
 **/*.aux.xml
 .**/*
+!.conda-linux-64.lock
+!python/tests/data/local-cache

From 07648fc1933853d2812d7db5e3a2618cdc0e15f9 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Thu, 6 Jun 2024 10:47:02 +0100
Subject: [PATCH 17/92] chore: remove commented sections of `test_resample.py`

---
 python/tests/test_resample.py | 31 -------------------------------
 1 file changed, 31 deletions(-)

diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index e719b3cd..5925ac31 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -74,37 +74,6 @@
     year_days_count,
 )
 
-# HADS_UK_TASMAX_DAY_SERVER_PATH: Final[Path] = Path("Raw/HadsUKgrid/tasmax/day")
-# HADS_UK_RESAMPLED_DAY_SERVER_PATH: Final[Path] = Path(
-#     "Processed/HadsUKgrid/resampled_2.2km/tasmax/day"
-# )
-#
-# UKCP_RAW_TASMAX_1980_FILE: Final[Path] = Path(
-#     "tasmax_rcp85_land-cpm_uk_2.2km_01_day_19801201-19811130.nc"
-# )
-# HADS_RAW_TASMAX_1980_FILE: Final[Path] = Path(
-#     "tasmax_hadukgrid_uk_1km_day_19800101-19800131.nc"
-# )
-#
-# HADS_UK_TASMAX_LOCAL_TEST_PATH: Final[Path] = (
-#     Path(HadUKGrid.slug) / HADS_RAW_TASMAX_1980_FILE
-# )
-#
-# UKCP_TASMAX_DAY_SERVER_PATH: Final[Path] = Path("Raw/UKCP2.2/tasmax/01/latest")
-# # Todo: Change "tasmax_rcp85_land-cpm_uk_2.2km_01_day_19801201-19811130.nc"
-# # to "tasmax_cpm_example.nc"
-# UKCP_TASMAX_LOCAL_TEST_PATH: Final[Path] = (
-#     Path(UKCPLocalProjections.slug) / UKCP_RAW_TASMAX_1980_FILE
-# )
-#
-# UKCP_RAW_TASMAX_EXAMPLE_PATH: Final[Path] = (
-#     RAW_CPM_TASMAX_PATH / UKCP_RAW_TASMAX_1980_FILE
-# )
-#
-# HADS_RAW_TASMAX_EXAMPLE_PATH: Final[Path] = (
-#     RAW_HADS_TASMAX_PATH / HADS_RAW_TASMAX_1980_FILE
-# )
-
 HADS_FIRST_DATES: np.array = np.array(
     ["19800101", "19800102", "19800103", "19800104", "19800105"]
 )

From b7a2808165d5d7e571b12f072e477142fbbf6d3b Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Thu, 6 Jun 2024 11:36:53 +0100
Subject: [PATCH 18/92] chore: fix `docstring` typos raised by `quartodocs`

---
 python/clim_recal/utils/xarray.py | 51 ++++++++++++++++++++++---------
 1 file changed, 36 insertions(+), 15 deletions(-)

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 3eaf8acd..9f8deb52 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -339,8 +339,8 @@ def cpm_reproject_with_standard_calendar(
     file_name_prefix: str = "",
     subfolder: PathLike = CPM_LOCAL_INTERMEDIATE_PATH,
     subfolder_time_stamp: bool = False,
-    source_x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
-    source_y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
+    # source_x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
+    # source_y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
 ) -> T_Dataset:
     """Convert raw `cpm_xr_time_series` to an 365/366 days and 27700 coords.
 
@@ -353,10 +353,18 @@ def cpm_reproject_with_standard_calendar(
     cpm_xr_time_series
         `Dataset` (or path to load as `Dataset`) expected to be in raw UKCPM
         format, with 360 day years and a rotated coordinate system.
-    output_folder
+    variable_name
+        Name of variable used, usually a measure of climate change like
+        `tasmax` and `tasmin`.
+    output_path
         Path to store all intermediary and final projection.
     file_name_prefix
         `str` to prefix all written files with.
+    subfolder
+        Local `path` to place intermediate files from
+        `IntermediateCPMFilesManager` calls.
+    subfolder_time_stamp
+        Whether to add a timestamp in the intermediate file names.
 
     Returns
     -------
@@ -510,7 +518,7 @@ def interpolate_coords(
         reprojected_data_array.rio.write_crs(reference_coords.rio.crs, inplace=True)
     else:
         reprojected_data_array.rio.write_crs(xr_time_series.rio.crs, inplace=True)
-    reprojected: Dataset = Dataset({variable_name: reprojected_data_array})
+    reprojected: T_Dataset = Dataset({variable_name: reprojected_data_array})
     return reprojected
 
 
@@ -724,7 +732,7 @@ def ensure_xr_dataset(
 
 
 def convert_xr_calendar(
-    xr_time_series: DataArray | Dataset | PathLike,
+    xr_time_series: T_DataArray | T_Dataset | PathLike,
     align_on: ConvertCalendarAlignOptions = DEFAULT_CALENDAR_ALIGN,
     calendar: CFCalendar = CFCalendarSTANDARD,
     use_cftime: bool = False,
@@ -946,7 +954,7 @@ def gdal_warp_wrapper(
     output_y_resolution: int | None = None,
     copy_metadata: bool = True,
     return_path: bool = True,
-    format: GDALFormatsType | None = GDALGeoTiffFormatStr,
+    format: GDALFormatsType | str | None = GDALGeoTiffFormatStr,
     multithread: bool = True,
     **kwargs,
 ) -> Path | GDALDataset:
@@ -987,9 +995,12 @@ def gdal_warp_wrapper(
         Whether to copy metadata when possible.
     return_path
         Return the resulting path if `True`, else the new `GDALDataset`.
-    resampling_method
-        Sampling method. `resampleAlg` in `WarpOption`. See other options
-        in: `https://gdal.org/programs/gdalwarp.html#cmdoption-gdalwarp-r`.
+    format
+        Format to write new file to.
+    multithread
+        Whether to use `multithread` to speed up calculations.
+    kwargs
+        Any additional parameters to pass to `WarpOption`.
     """
     Path(output_path).parent.mkdir(parents=True, exist_ok=True)
     try:
@@ -1016,7 +1027,7 @@ def gdal_warp_wrapper(
 
 def apply_geo_func(
     source_path: PathLike,
-    func: Callable[[Dataset], Dataset],
+    func: Callable[[T_Dataset], T_Dataset],
     export_folder: PathLike,
     new_path_name_func: Callable[[Path], Path] | None = None,
     to_netcdf: bool = True,
@@ -1024,7 +1035,7 @@ def apply_geo_func(
     export_path_as_output_path_kwarg: bool = False,
     return_results: bool = False,
     **kwargs,
-) -> Path | Dataset | GDALDataset:
+) -> Path | T_Dataset | GDALDataset:
     """Apply a `Callable` to `netcdf_source` file and export via `to_netcdf`.
 
     Parameters
@@ -1035,10 +1046,20 @@ def apply_geo_func(
         `Callable` to modify `netcdf`.
     export_folder
         Where to save results.
-    path_name_replace_tuple
-        Optional replacement `str` to apply to `source_path.name` when exporting
+    new_path_name_func
+        `Callabe` to generate new path to save to.
     to_netcdf
-        Whether to call `to_netcdf` method on `results` `Dataset`.
+        Whether to call `to_netcdf()` method on `results` `Dataset`.
+    to_raster
+        Whether to call `rio.to_raster()` on `results` `Dataset`.
+    export_path_as_output_path_kwarg
+        Whether to add `output_path = export_path` to `kwargs` passed to
+        `func`. Meant for cases calling `gdal_warp_wrapper`.
+    return_results
+        Whether to return results, which would be a `Dataset` or
+        `GDALDataset` (the latter if `gdal_warp_wrapper` is used).
+    **kwargs
+        Other parameters passed to `func` call.
     """
     export_path: Path = Path(source_path)
     if new_path_name_func:
@@ -1129,7 +1150,7 @@ def file_name_to_start_end_dates(
     return start_date, end_date
 
 
-def generate_360_to_standard(array_to_expand: T_DataArray) -> DataArray:
+def generate_360_to_standard(array_to_expand: T_DataArray) -> T_DataArray:
     """Return `array_to_expand` 360 days expanded to 365 or 366 days.
 
     This may be dropped if `cpm_reproject_with_standard_calendar` is successful.

From ab88787a080a8aa2aac57c8b02472dc5ad4fa2a2 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 9 Jun 2024 15:26:35 +0100
Subject: [PATCH 19/92] fix: `cpm_reproject_with_standard_calendar` with
 `xr_reproject_crs`

---
 python/clim_recal/data_loader.py  |   9 +-
 python/clim_recal/utils/xarray.py | 281 ++++++++++++++++++++++++------
 python/conftest.py                |  25 ++-
 python/tests/test_resample.py     |  19 --
 4 files changed, 256 insertions(+), 78 deletions(-)

diff --git a/python/clim_recal/data_loader.py b/python/clim_recal/data_loader.py
index 079fdf20..18d8bb2b 100644
--- a/python/clim_recal/data_loader.py
+++ b/python/clim_recal/data_loader.py
@@ -1,16 +1,13 @@
 import glob
 import os
 from datetime import datetime
-from typing import Final
 
 from geopandas import read_file
 from rioxarray import open_rasterio
 from xarray import DataArray, cftime_range, concat, open_dataset
 
 from .utils.core import DateRange
-
-BritishNationalGridCoordsNum: Final[int] = 27700
-BritishNationalGridCoordinates: Final[str] = f'epsg:{BritishNationalGridCoordsNum}'
+from .utils.xarray import BRITISH_NATIONAL_GRID_EPSG
 
 
 def load_data(
@@ -169,7 +166,7 @@ def clip_dataset(xa: DataArray, variable: str, shapefile: str) -> DataArray:
 def reformat_file(
     file: str,
     variable: str,
-    spatial_config: str = BritishNationalGridCoordinates
+    spatial_config: str = BRITISH_NATIONAL_GRID_EPSG
 ) -> DataArray:
     """Load tif file and reformat xarray into expected format.
 
@@ -230,7 +227,7 @@ def load_and_merge(
     date_range: DateRange,
     files: list[str],
     variable: str,
-    write_crs_format: str = BritishNationalGridCoordinates,
+    write_crs_format: str = BRITISH_NATIONAL_GRID_EPSG,
 ) -> DataArray:
     """
     Load files into xarrays, select a time range and a variable and merge into a sigle xarray.
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 9f8deb52..5470b82b 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -52,7 +52,9 @@
 # MONTH_DAY_DROP: DropDayType = {(1, 31), (4, 1), (6, 1), (8, 1), (10, 1), (12, 1)}
 # """A `set` of tuples of month and day numbers for `enforce_date_changes`."""
 
-BRITISH_NATIONAL_GRID_EPSG: Final[str] = "EPSG:27700"
+
+BRITISH_NATION_GRID_COORDS_NUMBER: Final[int] = 27700
+BRITISH_NATIONAL_GRID_EPSG: Final[str] = f"EPSG:{BRITISH_NATION_GRID_COORDS_NUMBER}"
 
 MONTH_DAY_XARRAY_LEAP_YEAR_DROP: DropDayType = {
     (1, 31),
@@ -104,14 +106,14 @@ def as_tuple(self) -> tuple[float, float, float, float]:
         return self.xmin, self.xmax, self.ymin, self.ymax
 
 
-GlasgowCoords: Final[CityCoords] = CityCoords(
+GlasgowCoordsEPSG27700: Final[CityCoords] = CityCoords(
     "Glasgow", 249799.999600002, 269234.9996, 657761.472000003, 672330.696800007
 )
 
-LondonCoords: Final[CityCoords] = CityCoords(
+LondonCoordsEPSG27700: Final[CityCoords] = CityCoords(
     "London", 503568.1996, 561957.4961, 155850.7974, 200933.9025
 )
-ManchesterCoords: Final[CityCoords] = CityCoords(
+ManchesterCoordsEPSG27700: Final[CityCoords] = CityCoords(
     "Manchester", 380399.997, 393249.999, 389349.999, 405300.003
 )
 
@@ -332,10 +334,39 @@ def final_nc_path(self) -> Path:
         )
 
 
+def check_xarray_path_and_var_name(
+    xr_time_series: T_Dataset | PathLike, variable_name: str | None
+) -> tuple[Dataset, str]:
+    """Check and return a `T_Dataset` instances and included variable name."""
+    if isinstance(xr_time_series, PathLike):
+        xr_time_series = open_dataset(xr_time_series, decode_coords="all")
+    try:
+        assert isinstance(xr_time_series, Dataset)
+    except AssertionError:
+        raise TypeError(
+            f"'xr_time_series' should be a 'Dataset' or 'NetCDF', recieved: '{type(xr_time_series)}'"
+        )
+
+    if not variable_name:
+        data_vars_count: int = len(xr_time_series.data_vars)
+        try:
+            assert data_vars_count == 1
+        except:
+            ValueError(
+                f"'variable_name' must be specified or 'data_vars' count must be 1, not {data_vars_count}."
+            )
+        variable_name = xr_time_series.data_vars[0]
+    if not isinstance(variable_name, str):
+        raise ValueError(
+            "'variable_name' must be a 'str' or inferred from 'xr_time_series.data_vars'. Got: '{variable_name}'"
+        )
+    return xr_time_series, variable_name
+
+
 def cpm_reproject_with_standard_calendar(
     cpm_xr_time_series: T_Dataset | PathLike,
-    variable_name: str,
-    output_path: PathLike,
+    variable_name: str | None = None,
+    output_path: PathLike | None = None,
     file_name_prefix: str = "",
     subfolder: PathLike = CPM_LOCAL_INTERMEDIATE_PATH,
     subfolder_time_stamp: bool = False,
@@ -369,65 +400,211 @@ def cpm_reproject_with_standard_calendar(
     Returns
     -------
     Final `xarray` `Dataset` after spatial and temporal changes.
+
+    Examples
+    --------
+    >>> tasmax_cpm_1980_raw = getfixture('tasmax_cpm_1980_raw')
+    >>> if not tasmax_cpm_1980_raw:
+    ...     pytest.skip(mount_or_cache_doctest_skip_message)
+    >>> tasmax_cpm_1980_365_day: T_Dataset = cpm_reproject_with_standard_calendar(
+    ...     cpm_xr_time_series=tasmax_cpm_1980_raw,
+    ...     variable_name="tasmax")
+    xarray.Dataset {
+    dimensions:
+        time = 365 ;
+        grid_latitude = 606 ;
+        grid_longitude = 484 ;
+    ...
+    >>> tasmax_cpm_1980_365_day
+    <xarray.Dataset> Size: 504MB
+    Dimensions:      (x: 529, y: 653, time: 365)
+    Coordinates:
+      * x            (x) float64 4kB -3.129e+05 -3.107e+05 ... 8.465e+05 8.487e+05
+      * y            (y) float64 5kB 1.197e+06 1.195e+06 ... -2.353e+05 -2.375e+05
+      * time         (time) datetime64[ns] 3kB 1980-12-01T12:00:00 ... 1981-11-30...
+        spatial_ref  int64 8B 0
+    Data variables:
+        tasmax       (time, y, x) float32 504MB 3.403e+38 3.403e+38 ... 3.403e+38
     """
-    if isinstance(cpm_xr_time_series, PathLike):
-        cpm_xr_time_series = open_dataset(cpm_xr_time_series, decode_coords="all")
 
-    intermediate_file_configs: IntermediateCPMFilesManager = (
-        IntermediateCPMFilesManager(
-            file_name_prefix=file_name_prefix,
-            variable_name=variable_name,
-            output_path=Path(output_path),
-            subfolder_path=Path(subfolder),
-            subfolder_time_stamp=subfolder_time_stamp,
-            time_series_start=cpm_xr_time_series.time.values[0],
-            time_series_end=cpm_xr_time_series.time.values[-1],
-        )
+    # intermediate_file_configs: IntermediateCPMFilesManager = (
+    #     IntermediateCPMFilesManager(
+    #         file_name_prefix=file_name_prefix,
+    #         variable_name=variable_name,
+    #         output_path=Path(output_path),
+    #         subfolder_path=Path(subfolder),
+    #         subfolder_time_stamp=subfolder_time_stamp,
+    #         time_series_start=cpm_xr_time_series.time.values[0],
+    #         time_series_end=cpm_xr_time_series.time.values[-1],
+    #     )
+    # )
+    cpm_xr_time_series, variable_name = check_xarray_path_and_var_name(
+        cpm_xr_time_series, variable_name
     )
 
-    expanded_calendar: T_Dataset = cpm_xarray_to_standard_calendar(cpm_xr_time_series)
-    # Index through the first ensemble
-    subset_within_ensemble: T_DataArray = expanded_calendar[variable_name][0]
-
-    subset_within_ensemble.to_netcdf(intermediate_file_configs.intermediate_nc_path)
-    simplified_netcdf: T_Dataset = open_dataset(
-        intermediate_file_configs.intermediate_nc_path, decode_coords="all"
-    )
-    simplified_netcdf["grid_longitude_bnds"] = expanded_calendar.grid_longitude_bnds
-    simplified_netcdf["grid_latitude_bnds"] = expanded_calendar.grid_latitude_bnds
-    simplified_netcdf[variable_name].to_netcdf(
-        intermediate_file_configs.simplified_nc_path
+    standar_calendar_ts: T_Dataset = cpm_xarray_to_standard_calendar(cpm_xr_time_series)
+    # Index through the first ensemble to skip the 'ensemble_member' index
+    subset_within_ensemble: T_Dataset = Dataset(
+        {variable_name: standar_calendar_ts[variable_name][0]}
     )
 
-    warped_to_22700_path = gdal_warp_wrapper(
-        input_path=intermediate_file_configs.simplified_nc_path,
-        output_path=intermediate_file_configs.intermediate_warp_path,
-        copy_metadata=True,
-        format=None,
+    subset_in_epsg_27700: T_DataArray = xr_reproject_crs(
+        subset_within_ensemble, variable_name=variable_name
     )
 
-    assert warped_to_22700_path == intermediate_file_configs.intermediate_warp_path
-    warped_to_22700 = open_dataset(intermediate_file_configs.intermediate_warp_path)
-    assert warped_to_22700.rio.crs == BRITISH_NATIONAL_GRID_EPSG
-    assert len(warped_to_22700.time) == len(expanded_calendar.time)
-
-    # Commenting these out in prep for addressing
-    # https://github.com/alan-turing-institute/clim-recal/issues/151
-    # warped_to_22700_y_axis_inverted: T_Dataset = warped_to_22700.reindex(
-    #     y=warped_to_22700.y * -1
+    # subset_within_ensemble.to_netcdf(intermediate_file_configs.intermediate_nc_path)
+    # simplified_netcdf: T_Dataset = open_dataset(
+    #     intermediate_file_configs.intermediate_nc_path, decode_coords="all"
+    # )
+    # simplified_netcdf["grid_longitude_bnds"] = expanded_calendar.grid_longitude_bnds
+    # simplified_netcdf["grid_latitude_bnds"] = expanded_calendar.grid_latitude_bnds
+    # simplified_netcdf[variable_name].to_netcdf(
+    #     intermediate_file_configs.simplified_nc_path
     # )
     #
-    # warped_to_22700_y_axis_inverted = warped_to_22700_y_axis_inverted.rename(
-    #     {"x": source_x_coord_column_name, "y": source_y_coord_column_name}
+    # warped_to_22700_path = gdal_warp_wrapper(
+    #     input_path=intermediate_file_configs.simplified_nc_path,
+    #     output_path=intermediate_file_configs.intermediate_warp_path,
+    #     copy_metadata=True,
+    #     format=None,
     # )
+    #
+    # assert warped_to_22700_path == intermediate_file_configs.intermediate_warp_path
+    # warped_to_22700 = open_dataset(intermediate_file_configs.intermediate_warp_path)
+    # assert warped_to_22700.rio.crs == BRITISH_NATIONAL_GRID_EPSG
+    # assert len(warped_to_22700.time) == len(expanded_calendar.time)
+    #
+    # # Commenting these out in prep for addressing
+    # # https://github.com/alan-turing-institute/clim-recal/issues/151
+    # # warped_to_22700_y_axis_inverted: T_Dataset = warped_to_22700.reindex(
+    # #     y=warped_to_22700.y * -1
+    # # )
+    # #
+    # # warped_to_22700_y_axis_inverted = warped_to_22700_y_axis_inverted.rename(
+    # #     {"x": source_x_coord_column_name, "y": source_y_coord_column_name}
+    # # )
+    #
+    # # warped_to_22700_y_axis_inverted.to_netcdf(intermediate_file_configs.final_nc_path)
+    # warped_to_22700.to_netcdf(intermediate_file_configs.final_nc_path)
+    # final_results = open_dataset(
+    #     intermediate_file_configs.final_nc_path, decode_coords="all"
+    # )
+    try:
+        assert (subset_in_epsg_27700.time == standar_calendar_ts.time).all()
+    except:
+        raise ValueError(
+            f"Time series of 'standar_calendar_ts' does not match projection to {BRITISH_NATIONAL_GRID_EPSG}."
+        )
+    return subset_in_epsg_27700
 
-    # warped_to_22700_y_axis_inverted.to_netcdf(intermediate_file_configs.final_nc_path)
-    warped_to_22700.to_netcdf(intermediate_file_configs.final_nc_path)
-    final_results = open_dataset(
-        intermediate_file_configs.final_nc_path, decode_coords="all"
+
+def xr_reproject_crs(
+    xr_time_series: T_Dataset | PathLike,
+    variable_name: str,
+    x_dim_name: str = "grid_longitude",
+    y_dim_name: str = "grid_latitude",
+    final_crs: str = BRITISH_NATIONAL_GRID_EPSG,
+    final_resolution: tuple[int, int] = (2200, 2200),
+    # target_xr: T_DataArray | PathLike = DEFAULT_RELATIVE_GRID_DATA_PATH,
+    time_dim_name: str = "time",
+    # target_x_dim_name: str = "x",
+    # target_y_dim_name: str = "y",
+    rename_final_dims_dict: dict[str, str] | None = None,
+    # target_time_dim_name: str = "time",
+) -> T_Dataset:
+    """Reproject `source_xr` to `target_xr` coordinate structure.
+
+    Examples
+    --------
+    >>> tasmax_cpm_1980_raw = getfixture('tasmax_cpm_1980_raw')
+    >>> if not tasmax_cpm_1980_raw:
+    ...     pytest.skip(mount_or_cache_doctest_skip_message)
+    >>> tasmax_cpm_1980_365_day: T_Dataset = cpm_xarray_to_standard_calendar(
+    ...     tasmax_cpm_1980_raw)
+    >>> tasmax_sub_section =
+    >>> projected_cpm: Dataset = xr_reproject_crs(
+    ...        tasmax_cpm_1980_365_day,)
+    >>> assert False
+
+    """
+    if isinstance(xr_time_series, PathLike | str):
+        xr_time_series = open_dataset(xr_time_series, decode_coords="all")
+    # if isinstance(xr_time_series, DataArray):
+    #     if xr_time_series.name:
+    #         if variable_name:
+    #             try:
+    #                 assert variable_name == xr_time_series.name
+    #             except AssertionError:
+    #                 raise ValueError(f"'variable_name': 'variable_name' != 'xr_time_series': '{xr_time_series.name}'.")
+    #         else:
+    #             variable_name = xr_time_series.name
+    #         variable_name
+    # xr_time_series = Dataset({var})
+    xr_time_series = xr_time_series.rio.set_spatial_dims(
+        x_dim=x_dim_name, y_dim=y_dim_name, inplace=True
+    )
+    logger.info(xr_time_series.info())
+    # if len(xr_time_series[variable_name].dims) > 3:
+    data_array: T_DataArray = xr_time_series[variable_name]
+    final_index_names: tuple[str, str, str] = (time_dim_name, x_dim_name, y_dim_name)
+    extra_dims: set[str] = set(data_array.indexes.dims) - set(final_index_names)
+    if extra_dims:
+        raise ValueError(
+            f"Can only reindex using dims: {final_index_names}, extra dim(s): {extra_dims}"
+        )
+        data_array = data_array.drop_indexes(*extra_dims)
+        data_array = data_array.drop_vars(*extra_dims)
+    # if tuple(data_array.indexes.dims.keys()) != final_index_names:
+    #     data_array = data_array.transpose(*final_index_names, ...)
+    coords: dict[str, DataArray] = {
+        time_dim_name: xr_time_series[time_dim_name],
+        y_dim_name: xr_time_series[y_dim_name],
+        x_dim_name: xr_time_series[x_dim_name],
+    }
+    without_attributes: T_DataArray = DataArray(
+        data=data_array.to_numpy(), coords=coords, name=variable_name
+    )
+    without_attributes = without_attributes.rio.write_crs(xr_time_series.rio.crs)
+    without_attributes_reprojected: DataArray = without_attributes.rio.reproject(
+        final_crs, resolution=final_resolution
     )
-    assert (final_results.time == expanded_calendar.time).all()
-    return final_results
+    return Dataset({variable_name: without_attributes_reprojected})
+    # return without_attributes_reprojected
+    # coords: tuple[T_DataArray, T_DataArray, T_DataArray] = (
+    #         source_xr[source_time_dim_name].to_numpy(),
+    #         source_xr[source_x_dim_name].to_numpy(),
+    #         source_xr[source_y_dim_name].to_numpy(),
+    # )
+    # dims: tuple[str, str, str] = (target_time_dim_name, target_x_dim_name, target_y_dim_name)
+    # dims: tuple[str, str, str] = (target_time_dim_name, target_x_dim_name, target_y_dim_name)
+
+    # without_attributes: T_DataArray = DataArray(
+    #     data=data_to_numpy,
+    #     coords=coords,
+    #     # dims=dims,
+    #     name=variable_name
+    # )
+    coords: dict[str, T_DataArray] = {
+        target_time_dim_name: source_xr[source_time_dim_name].to_numpy(),
+        source_y_dim_name: source_xr[source_y_dim_name].to_numpy(),
+        source_x_dim_name: source_xr[source_x_dim_name].to_numpy(),
+    }
+    data_to_numpy: NDArray = source_xr[variable_name].to_numpy()
+    without_attributes: T_DataArray = DataArray(
+        data=data_to_numpy[0],
+        coords=coords,
+        # dims=dims,
+        name=variable_name,
+    )
+    renamed_attributes: T_DataArray = without_attributes.rename(
+        {source_x_dim_name: target_x_dim_name, source_y_dim_name: target_y_dim_name}
+    )
+    renamed_attributes = renamed_attributes.rio.write_crs(source_xr.rio.crs)
+    renamed_attributes = renamed_attributes.rio.reproject_match(target_xr)
+    if rename_final_dims_dict:
+        renamed_attributes = renamed_attributes.rename(renamed_attributes)
+
+    return Dataset({variable_name: renamed_attributes})
 
 
 def interpolate_coords(
diff --git a/python/conftest.py b/python/conftest.py
index fdcb0235..262d5094 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -8,6 +8,7 @@
 import pytest
 from coverage_badge.__main__ import main as gen_cov_badge
 from xarray import DataArray, Dataset, open_dataset
+from xarray.core.types import T_Dataset
 
 from clim_recal.config import ClimRecalConfig
 from clim_recal.debiasing.debias_wrapper import CityOptions
@@ -47,6 +48,9 @@
 )
 
 MOUNT_DOCTEST_SKIP_MESSAGE: Final[str] = "requires external data mounted"
+MOUNT_OR_CACHE_DOCTEST_SKIP_MESSAGE: Final[
+    str
+] = "requires external data mounted or cached"
 
 BADGE_PATH: Final[Path] = Path("docs") / "assets" / "coverage.svg"
 CLIMATE_DATA_MOUNT_PATH_LINUX: Final[Path] = Path("/mnt/vmfileshare/ClimateData")
@@ -106,7 +110,7 @@ def is_data_mounted(data_mount_path) -> bool:
 
 
 @pytest.fixture(scope="session")
-def local_cach_fixtures(
+def local_cache_fixtures(
     local_cpm_cache_path: Path,
     local_hads_cache_path: Path,
     sync_all: bool,
@@ -138,6 +142,22 @@ def local_cach_fixtures(
     return cache_manager
 
 
+@pytest.fixture(scope="session")
+def tasmax_cpm_1980_raw(
+    local_cache: bool,
+    local_cache_fixtures: LocalCachesManager,
+) -> T_Dataset:
+    return local_cache_fixtures["tasmax_cpm_1980_raw"].read(cache_path=local_cache)
+
+
+@pytest.fixture(scope="session")
+def tasmax_hads_1980_raw(
+    local_cache: bool,
+    local_cache_fixtures: LocalCachesManager,
+) -> T_Dataset | None:
+    return local_cache_fixtures["tasmax_hads_1980_raw"].read(cache_path=local_cache)
+
+
 # This may be removed in future
 # @pytest.fixture(autouse=True)
 def ensure_python_path() -> None:
@@ -408,6 +428,9 @@ def doctest_auto_fixtures(
     doctest_namespace["resample_test_hads_output_path"] = resample_test_hads_output_path
     doctest_namespace["resample_test_cpm_output_path"] = resample_test_cpm_output_path
     doctest_namespace["mount_doctest_skip_message"] = MOUNT_DOCTEST_SKIP_MESSAGE
+    doctest_namespace[
+        "mount_or_cache_doctest_skip_message"
+    ] = MOUNT_OR_CACHE_DOCTEST_SKIP_MESSAGE
     doctest_namespace[
         "glasgow_example_cropped_cpm_rainfall_path"
     ] = glasgow_example_cropped_cpm_rainfall_path
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 5925ac31..9c81a6e1 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -69,7 +69,6 @@
     UKCP_RAW_TASMAX_EXAMPLE_PATH,
     UKCP_TASMAX_DAY_SERVER_PATH,
     UKCP_TASMAX_LOCAL_TEST_PATH,
-    LocalCachesManager,
     xarray_example,
     year_days_count,
 )
@@ -144,24 +143,6 @@
 )
 
 
-@pytest.mark.mount
-@pytest.fixture(scope="session")
-def tasmax_cpm_1980_raw(
-    local_cache: bool,
-    local_cach_fixtures: LocalCachesManager,
-) -> T_Dataset:
-    return local_cach_fixtures["tasmax_cpm_1980_raw"].read(cache_path=local_cache)
-
-
-@pytest.mark.mount
-@pytest.fixture(scope="session")
-def tasmax_hads_1980_raw(
-    local_cache: bool,
-    local_cach_fixtures: LocalCachesManager,
-) -> T_Dataset:
-    return local_cach_fixtures["tasmax_hads_1980_raw"].read(cache_path=local_cache)
-
-
 @pytest.fixture(scope="session")
 def reference_final_coord_grid() -> T_Dataset:
     return open_dataset(DEFAULT_RELATIVE_GRID_DATA_PATH, decode_coords="all")

From 817c3771dee2550fcca0abe776206ce92b6e48e7 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 9 Jun 2024 15:45:04 +0100
Subject: [PATCH 20/92] chore: remove `IntermediateCPMFilesManager`

---
 python/clim_recal/utils/xarray.py | 252 +-----------------------------
 1 file changed, 5 insertions(+), 247 deletions(-)

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 5470b82b..e28be043 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -31,16 +31,9 @@
     CLI_DATE_FORMAT_STR,
     ISO_DATE_FORMAT_STR,
     climate_data_mount_path,
-    date_range_to_str,
     results_path,
-    time_str,
-)
-from .gdal_formats import (
-    NETCDF_EXTENSION_STR,
-    GDALFormatExtensions,
-    GDALFormatsType,
-    GDALGeoTiffFormatStr,
 )
+from .gdal_formats import NETCDF_EXTENSION_STR, GDALFormatsType, GDALGeoTiffFormatStr
 
 logger = getLogger(__name__)
 
@@ -211,129 +204,6 @@ def cftime360_to_date(cf_360: Datetime360Day) -> date:
     return date(cf_360.year, cf_360.month, cf_360.day)
 
 
-@dataclass
-class IntermediateCPMFilesManager:
-
-    """Manage intermediate files and paths for CPM calendar projection.
-
-    Parameters
-    ----------
-    variable_name
-        Name of variable (e.g. `tasmax`). Included in file names.
-    output_path
-        Folder to save results to.
-    subfolder_path
-        Path to place intermediate files relative to output_path.
-    time_series_start
-        Start of time series covered to include in file name.
-    time_series_end
-        End of time series covered to include in file name.
-    file_name_prefix
-        str to add at the start of the output file names (after integers).
-    subfolder_time_stamp
-        Whether to include a time stamp in the subfolder file name.
-
-    Examples
-    --------
-    >>> test_path = getfixture('tmp_path')
-    >>> intermedate_files_manager: IntermediateCPMFilesManager = IntermediateCPMFilesManager(
-    ...     file_name_prefix="test-1980",
-    ...     variable_name="tasmax",
-    ...     output_path=test_path / 'intermediate_test_folder',
-    ...     subfolder_path='test_subfolder',
-    ...     time_series_start=date(1980, 12, 1),
-    ...     time_series_end=date(1981, 11, 30),
-    ... )
-    >>> str(intermedate_files_manager.output_path)
-    '.../intermediate_test_folder'
-    >>> str(intermedate_files_manager.intermediate_files_folder)
-    '.../test_subfolder'
-    >>> str(intermedate_files_manager.final_nc_path)
-    '.../test_subfolder/3-test-1980-tasmax-19801201-19811130-cpm-365-or-366-27700-final.nc'
-    """
-
-    variable_name: str
-    output_path: Path | None
-    time_series_start: datetime | date | Datetime360Day
-    time_series_end: datetime | date | Datetime360Day
-    subfolder_path: Path = CPM_LOCAL_INTERMEDIATE_PATH
-    file_name_prefix: str = ""
-    subfolder_time_stamp: bool = False
-
-    def __post_init__(self) -> None:
-        """Ensure `output_path`, `time_series_start/end` are set correctly."""
-        self.output_path = Path(self.output_path) if self.output_path else Path()
-        if self.output_path.suffix[1:] in GDALFormatExtensions.values():
-            logger.info(
-                f"Output path is: '{str(self.output_path)}'\n"
-                "Putting intermediate files in parent directory."
-            )
-            self._passed_output_path = self.output_path
-            self.output_path = self.output_path.parent
-        if isinstance(self.time_series_start, Datetime360Day):
-            self.time_series_start = cftime360_to_date(self.time_series_start)
-        if isinstance(self.time_series_end, Datetime360Day):
-            self.time_series_end = cftime360_to_date(self.time_series_end)
-
-    def __repr__(self):
-        """Summary of config."""
-        return (
-            f"<IntermediateCPMFilesManager(output_path='{self.output_path}', "
-            f"intermediate_files_folder='{self.intermediate_files_folder}')>"
-        )
-
-    @property
-    def date_range_to_str(self) -> str:
-        return date_range_to_str(self.time_series_start, self.time_series_end)
-
-    @property
-    def prefix_var_name_and_date(self) -> str:
-        prefix: str = f"{self.variable_name}-{self.date_range_to_str}-"
-        if self.file_name_prefix:
-            return f"{self.file_name_prefix}-{prefix}"
-        else:
-            return prefix
-
-    @property
-    def subfolder(self) -> Path:
-        if self.subfolder_time_stamp:
-            return Path(Path(self.subfolder_path).name + f"-{time_str()}")
-        else:
-            return self.subfolder_path
-
-    @property
-    def intermediate_files_folder(self) -> Path:
-        assert self.output_path
-        path: Path = self.output_path / self.subfolder
-        path.mkdir(exist_ok=True, parents=True)
-        assert path.is_dir()
-        return path
-
-    @property
-    def intermediate_nc_path(self) -> Path:
-        return self.intermediate_files_folder / (
-            "0-" + self.prefix_var_name_and_date + CPM_365_OR_366_INTERMEDIATE_NC
-        )
-
-    @property
-    def simplified_nc_path(self) -> Path:
-        return self.intermediate_files_folder / (
-            "1-" + self.prefix_var_name_and_date + CPM_365_OR_366_SIMPLIFIED_NC
-        )
-
-    @property
-    def intermediate_warp_path(self) -> Path:
-        return self.intermediate_files_folder / (
-            "2-" + self.prefix_var_name_and_date + CPM_365_OR_366_27700_TIF
-        )
-
-    @property
-    def final_nc_path(self) -> Path:
-        return self.intermediate_files_folder / (
-            "3-" + self.prefix_var_name_and_date + CPM_365_OR_366_27700_FINAL
-        )
-
-
 def check_xarray_path_and_var_name(
     xr_time_series: T_Dataset | PathLike, variable_name: str | None
 ) -> tuple[Dataset, str]:
@@ -366,12 +236,6 @@ def check_xarray_path_and_var_name(
 def cpm_reproject_with_standard_calendar(
     cpm_xr_time_series: T_Dataset | PathLike,
     variable_name: str | None = None,
-    output_path: PathLike | None = None,
-    file_name_prefix: str = "",
-    subfolder: PathLike = CPM_LOCAL_INTERMEDIATE_PATH,
-    subfolder_time_stamp: bool = False,
-    # source_x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
-    # source_y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
 ) -> T_Dataset:
     """Convert raw `cpm_xr_time_series` to an 365/366 days and 27700 coords.
 
@@ -426,24 +290,11 @@ def cpm_reproject_with_standard_calendar(
     Data variables:
         tasmax       (time, y, x) float32 504MB 3.403e+38 3.403e+38 ... 3.403e+38
     """
-
-    # intermediate_file_configs: IntermediateCPMFilesManager = (
-    #     IntermediateCPMFilesManager(
-    #         file_name_prefix=file_name_prefix,
-    #         variable_name=variable_name,
-    #         output_path=Path(output_path),
-    #         subfolder_path=Path(subfolder),
-    #         subfolder_time_stamp=subfolder_time_stamp,
-    #         time_series_start=cpm_xr_time_series.time.values[0],
-    #         time_series_end=cpm_xr_time_series.time.values[-1],
-    #     )
-    # )
     cpm_xr_time_series, variable_name = check_xarray_path_and_var_name(
         cpm_xr_time_series, variable_name
     )
 
     standar_calendar_ts: T_Dataset = cpm_xarray_to_standard_calendar(cpm_xr_time_series)
-    # Index through the first ensemble to skip the 'ensemble_member' index
     subset_within_ensemble: T_Dataset = Dataset(
         {variable_name: standar_calendar_ts[variable_name][0]}
     )
@@ -451,44 +302,6 @@ def cpm_reproject_with_standard_calendar(
     subset_in_epsg_27700: T_DataArray = xr_reproject_crs(
         subset_within_ensemble, variable_name=variable_name
     )
-
-    # subset_within_ensemble.to_netcdf(intermediate_file_configs.intermediate_nc_path)
-    # simplified_netcdf: T_Dataset = open_dataset(
-    #     intermediate_file_configs.intermediate_nc_path, decode_coords="all"
-    # )
-    # simplified_netcdf["grid_longitude_bnds"] = expanded_calendar.grid_longitude_bnds
-    # simplified_netcdf["grid_latitude_bnds"] = expanded_calendar.grid_latitude_bnds
-    # simplified_netcdf[variable_name].to_netcdf(
-    #     intermediate_file_configs.simplified_nc_path
-    # )
-    #
-    # warped_to_22700_path = gdal_warp_wrapper(
-    #     input_path=intermediate_file_configs.simplified_nc_path,
-    #     output_path=intermediate_file_configs.intermediate_warp_path,
-    #     copy_metadata=True,
-    #     format=None,
-    # )
-    #
-    # assert warped_to_22700_path == intermediate_file_configs.intermediate_warp_path
-    # warped_to_22700 = open_dataset(intermediate_file_configs.intermediate_warp_path)
-    # assert warped_to_22700.rio.crs == BRITISH_NATIONAL_GRID_EPSG
-    # assert len(warped_to_22700.time) == len(expanded_calendar.time)
-    #
-    # # Commenting these out in prep for addressing
-    # # https://github.com/alan-turing-institute/clim-recal/issues/151
-    # # warped_to_22700_y_axis_inverted: T_Dataset = warped_to_22700.reindex(
-    # #     y=warped_to_22700.y * -1
-    # # )
-    # #
-    # # warped_to_22700_y_axis_inverted = warped_to_22700_y_axis_inverted.rename(
-    # #     {"x": source_x_coord_column_name, "y": source_y_coord_column_name}
-    # # )
-    #
-    # # warped_to_22700_y_axis_inverted.to_netcdf(intermediate_file_configs.final_nc_path)
-    # warped_to_22700.to_netcdf(intermediate_file_configs.final_nc_path)
-    # final_results = open_dataset(
-    #     intermediate_file_configs.final_nc_path, decode_coords="all"
-    # )
     try:
         assert (subset_in_epsg_27700.time == standar_calendar_ts.time).all()
     except:
@@ -500,17 +313,13 @@ def cpm_reproject_with_standard_calendar(
 
 def xr_reproject_crs(
     xr_time_series: T_Dataset | PathLike,
-    variable_name: str,
+    variable_name: str | None,
     x_dim_name: str = "grid_longitude",
     y_dim_name: str = "grid_latitude",
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG,
     final_resolution: tuple[int, int] = (2200, 2200),
-    # target_xr: T_DataArray | PathLike = DEFAULT_RELATIVE_GRID_DATA_PATH,
     time_dim_name: str = "time",
-    # target_x_dim_name: str = "x",
-    # target_y_dim_name: str = "y",
     rename_final_dims_dict: dict[str, str] | None = None,
-    # target_time_dim_name: str = "time",
 ) -> T_Dataset:
     """Reproject `source_xr` to `target_xr` coordinate structure.
 
@@ -527,24 +336,13 @@ def xr_reproject_crs(
     >>> assert False
 
     """
-    if isinstance(xr_time_series, PathLike | str):
-        xr_time_series = open_dataset(xr_time_series, decode_coords="all")
-    # if isinstance(xr_time_series, DataArray):
-    #     if xr_time_series.name:
-    #         if variable_name:
-    #             try:
-    #                 assert variable_name == xr_time_series.name
-    #             except AssertionError:
-    #                 raise ValueError(f"'variable_name': 'variable_name' != 'xr_time_series': '{xr_time_series.name}'.")
-    #         else:
-    #             variable_name = xr_time_series.name
-    #         variable_name
-    # xr_time_series = Dataset({var})
+    xr_time_series, variable_name = check_xarray_path_and_var_name(
+        xr_time_series, variable_name
+    )
     xr_time_series = xr_time_series.rio.set_spatial_dims(
         x_dim=x_dim_name, y_dim=y_dim_name, inplace=True
     )
     logger.info(xr_time_series.info())
-    # if len(xr_time_series[variable_name].dims) > 3:
     data_array: T_DataArray = xr_time_series[variable_name]
     final_index_names: tuple[str, str, str] = (time_dim_name, x_dim_name, y_dim_name)
     extra_dims: set[str] = set(data_array.indexes.dims) - set(final_index_names)
@@ -552,10 +350,6 @@ def xr_reproject_crs(
         raise ValueError(
             f"Can only reindex using dims: {final_index_names}, extra dim(s): {extra_dims}"
         )
-        data_array = data_array.drop_indexes(*extra_dims)
-        data_array = data_array.drop_vars(*extra_dims)
-    # if tuple(data_array.indexes.dims.keys()) != final_index_names:
-    #     data_array = data_array.transpose(*final_index_names, ...)
     coords: dict[str, DataArray] = {
         time_dim_name: xr_time_series[time_dim_name],
         y_dim_name: xr_time_series[y_dim_name],
@@ -569,42 +363,6 @@ def xr_reproject_crs(
         final_crs, resolution=final_resolution
     )
     return Dataset({variable_name: without_attributes_reprojected})
-    # return without_attributes_reprojected
-    # coords: tuple[T_DataArray, T_DataArray, T_DataArray] = (
-    #         source_xr[source_time_dim_name].to_numpy(),
-    #         source_xr[source_x_dim_name].to_numpy(),
-    #         source_xr[source_y_dim_name].to_numpy(),
-    # )
-    # dims: tuple[str, str, str] = (target_time_dim_name, target_x_dim_name, target_y_dim_name)
-    # dims: tuple[str, str, str] = (target_time_dim_name, target_x_dim_name, target_y_dim_name)
-
-    # without_attributes: T_DataArray = DataArray(
-    #     data=data_to_numpy,
-    #     coords=coords,
-    #     # dims=dims,
-    #     name=variable_name
-    # )
-    coords: dict[str, T_DataArray] = {
-        target_time_dim_name: source_xr[source_time_dim_name].to_numpy(),
-        source_y_dim_name: source_xr[source_y_dim_name].to_numpy(),
-        source_x_dim_name: source_xr[source_x_dim_name].to_numpy(),
-    }
-    data_to_numpy: NDArray = source_xr[variable_name].to_numpy()
-    without_attributes: T_DataArray = DataArray(
-        data=data_to_numpy[0],
-        coords=coords,
-        # dims=dims,
-        name=variable_name,
-    )
-    renamed_attributes: T_DataArray = without_attributes.rename(
-        {source_x_dim_name: target_x_dim_name, source_y_dim_name: target_y_dim_name}
-    )
-    renamed_attributes = renamed_attributes.rio.write_crs(source_xr.rio.crs)
-    renamed_attributes = renamed_attributes.rio.reproject_match(target_xr)
-    if rename_final_dims_dict:
-        renamed_attributes = renamed_attributes.rename(renamed_attributes)
-
-    return Dataset({variable_name: renamed_attributes})
 
 
 def interpolate_coords(

From c80c6656728b11e6e23e35ae40e416b8700ac45b Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Mon, 10 Jun 2024 09:10:46 +0100
Subject: [PATCH 21/92] fix: fix `xr_reproject_crs` `log` add `doctests` and
 remove `tests/check_calendar_log.txt`

---
 python/clim_recal/utils/xarray.py   |   82 +-
 python/tests/check_calendar_log.txt | 1943 ---------------------------
 python/tests/test_resample.py       |   69 +-
 3 files changed, 81 insertions(+), 2013 deletions(-)
 delete mode 100644 python/tests/check_calendar_log.txt

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index e28be043..83437f33 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -131,13 +131,6 @@ def as_tuple(self) -> tuple[float, float, float, float]:
     Path().absolute() / "../data/rcp85_land-cpm_uk_2.2km_grid.nc"
 )
 
-
-CPM_365_OR_366_INTERMEDIATE_NC: Final[str] = "cpm-365-or-366.nc"
-CPM_365_OR_366_SIMPLIFIED_NC: Final[str] = "cpm-365-or-366-simplified.nc"
-CPM_365_OR_366_27700_TIF: Final[str] = "cpm-365-or-366-27700.tif"
-CPM_365_OR_366_27700_FINAL: Final[str] = "cpm-365-or-366-27700-final.nc"
-CPM_LOCAL_INTERMEDIATE_PATH: Final[Path] = Path("cpm-intermediate-files")
-
 HADS_RAW_X_COLUMN_NAME: Final[str] = "projection_x_coordinate"
 HADS_RAW_Y_COLUMN_NAME: Final[str] = "projection_y_coordinate"
 HADS_DROP_VARS_AFTER_PROJECTION: Final[tuple[str, ...]] = ("longitude", "latitude")
@@ -225,7 +218,7 @@ def check_xarray_path_and_var_name(
             ValueError(
                 f"'variable_name' must be specified or 'data_vars' count must be 1, not {data_vars_count}."
             )
-        variable_name = xr_time_series.data_vars[0]
+        variable_name = tuple(xr_time_series.data_vars)[0]
     if not isinstance(variable_name, str):
         raise ValueError(
             "'variable_name' must be a 'str' or inferred from 'xr_time_series.data_vars'. Got: '{variable_name}'"
@@ -251,15 +244,6 @@ def cpm_reproject_with_standard_calendar(
     variable_name
         Name of variable used, usually a measure of climate change like
         `tasmax` and `tasmin`.
-    output_path
-        Path to store all intermediary and final projection.
-    file_name_prefix
-        `str` to prefix all written files with.
-    subfolder
-        Local `path` to place intermediate files from
-        `IntermediateCPMFilesManager` calls.
-    subfolder_time_stamp
-        Whether to add a timestamp in the intermediate file names.
 
     Returns
     -------
@@ -273,12 +257,6 @@ def cpm_reproject_with_standard_calendar(
     >>> tasmax_cpm_1980_365_day: T_Dataset = cpm_reproject_with_standard_calendar(
     ...     cpm_xr_time_series=tasmax_cpm_1980_raw,
     ...     variable_name="tasmax")
-    xarray.Dataset {
-    dimensions:
-        time = 365 ;
-        grid_latitude = 606 ;
-        grid_longitude = 484 ;
-    ...
     >>> tasmax_cpm_1980_365_day
     <xarray.Dataset> Size: 504MB
     Dimensions:      (x: 529, y: 653, time: 365)
@@ -289,6 +267,14 @@ def cpm_reproject_with_standard_calendar(
         spatial_ref  int64 8B 0
     Data variables:
         tasmax       (time, y, x) float32 504MB 3.403e+38 3.403e+38 ... 3.403e+38
+    >>> tasmax_cpm_1980_raw.dims
+    FrozenMappingWarningOnValuesAccess({'ensemble_member': 1,
+                                        'time': 360,
+                                        'grid_latitude': 606,
+                                        'grid_longitude': 484,
+                                        'bnds': 2})
+    >>> tasmax_cpm_1980_365_day.dims
+    FrozenMappingWarningOnValuesAccess({'x': 529, 'y': 653, 'time': 365})
     """
     cpm_xr_time_series, variable_name = check_xarray_path_and_var_name(
         cpm_xr_time_series, variable_name
@@ -313,28 +299,49 @@ def cpm_reproject_with_standard_calendar(
 
 def xr_reproject_crs(
     xr_time_series: T_Dataset | PathLike,
-    variable_name: str | None,
     x_dim_name: str = "grid_longitude",
     y_dim_name: str = "grid_latitude",
-    final_crs: str = BRITISH_NATIONAL_GRID_EPSG,
-    final_resolution: tuple[int, int] = (2200, 2200),
     time_dim_name: str = "time",
-    rename_final_dims_dict: dict[str, str] | None = None,
+    variable_name: str | None = None,
+    final_crs: str = BRITISH_NATIONAL_GRID_EPSG,
+    final_resolution: tuple[int, int] | None = (2200, 2200),
 ) -> T_Dataset:
     """Reproject `source_xr` to `target_xr` coordinate structure.
 
+    Parameters
+    ----------
+    xr_time_series
+        `Dataset` or `PathLike` to load and reproject.
+    x_dim_name
+        `str` name of `x` spatial dimension in `xr_time_series`.
+    y_dim_name
+        `str` name of `y` spatial dimension in `xr_time_series`.
+    y_dim_name
+        `str` name of `time` dimension in `xr_time_series`.
+    variable_name
+        Name of datset to apply projection to within `xr_time_series`.
+        Inferred if `None` assuming only one `data_var` attribute.
+    final_crs
+        Coordinate system `str` to project `xr_time_series` to.
+    final_resolution
+        Resolution to project `xr_time_series` raster data to.
+
     Examples
     --------
-    >>> tasmax_cpm_1980_raw = getfixture('tasmax_cpm_1980_raw')
-    >>> if not tasmax_cpm_1980_raw:
+    >>> tasmax_hads_1980_raw = getfixture('tasmax_hads_1980_raw')
+    >>> if not tasmax_hads_1980_raw:
     ...     pytest.skip(mount_or_cache_doctest_skip_message)
-    >>> tasmax_cpm_1980_365_day: T_Dataset = cpm_xarray_to_standard_calendar(
-    ...     tasmax_cpm_1980_raw)
-    >>> tasmax_sub_section =
-    >>> projected_cpm: Dataset = xr_reproject_crs(
-    ...        tasmax_cpm_1980_365_day,)
-    >>> assert False
-
+    >>> tasmax_hads_1980_raw.dims
+    FrozenMappingWarningOnValuesAccess({'time': 31,
+                                        'projection_y_coordinate': 1450,
+                                        'projection_x_coordinate': 900,
+                                        'bnds': 2})
+    >>> tasmax_hads_2_2km: T_Dataset = xr_reproject_crs(
+    ...     tasmax_hads_1980_raw,
+    ...     x_dim_name=HADS_RAW_X_COLUMN_NAME,
+    ...     y_dim_name=HADS_RAW_Y_COLUMN_NAME,)
+    >>> tasmax_hads_2_2km.dims
+    FrozenMappingWarningOnValuesAccess({'x': 410, 'y': 660, 'time': 31})
     """
     xr_time_series, variable_name = check_xarray_path_and_var_name(
         xr_time_series, variable_name
@@ -342,7 +349,8 @@ def xr_reproject_crs(
     xr_time_series = xr_time_series.rio.set_spatial_dims(
         x_dim=x_dim_name, y_dim=y_dim_name, inplace=True
     )
-    logger.info(xr_time_series.info())
+    # info requires a bf parameter, not straightforward for logging
+    # logger.info(xr_time_series.info())
     data_array: T_DataArray = xr_time_series[variable_name]
     final_index_names: tuple[str, str, str] = (time_dim_name, x_dim_name, y_dim_name)
     extra_dims: set[str] = set(data_array.indexes.dims) - set(final_index_names)
diff --git a/python/tests/check_calendar_log.txt b/python/tests/check_calendar_log.txt
deleted file mode 100644
index 48553625..00000000
--- a/python/tests/check_calendar_log.txt
+++ /dev/null
@@ -1,1943 +0,0 @@
-******************** Comparing raw data:  /Volumes/vmfileshare/ClimateData/Raw/HadsUKgrid/tasmax/day ********************
-******************** to resampled data: /Volumes/vmfileshare/ClimateData/Processed/HadsUKgrid/resampled_2.2km/tasmax/day ********************
-File: tasmax_hadukgrid_uk_1km_day_19800101-19800131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1980-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19800301-19800331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1980-03-31'}
-Dates in resampled not in raw: {'1980-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19800401-19800430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1980-04-30'}
-Dates in resampled not in raw: {'1980-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19800501-19800531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1980-05-31'}
-Dates in resampled not in raw: {'1980-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19800601-19800630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1980-06-30'}
-Dates in resampled not in raw: {'1980-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19800701-19800731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1980-07-31'}
-Dates in resampled not in raw: {'1980-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19800801-19800831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1980-08-31'}
-Dates in resampled not in raw: {'1980-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19801001-19801031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1980-10-31'}
-Dates in resampled not in raw: {'1980-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19801201-19801231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1980-12-31'}
-Dates in resampled not in raw: {'1980-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19810101-19810131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1981-01-31'}
-Dates in resampled not in raw: {'1981-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19810201-19810228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1981-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19810301-19810331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1981-03-31', '1981-03-30'}
-Dates in resampled not in raw: {'1981-02-29', '1981-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19810401-19810430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1981-04-29', '1981-04-30'}
-Dates in resampled not in raw: {'1981-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19810501-19810531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1981-05-30', '1981-05-31'}
-Dates in resampled not in raw: {'1981-04-29', '1981-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19810601-19810630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1981-06-30'}
-Dates in resampled not in raw: {'1981-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19810701-19810731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1981-07-30', '1981-07-31'}
-Dates in resampled not in raw: {'1981-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19810801-19810831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1981-08-31'}
-Dates in resampled not in raw: {'1981-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19810901-19810930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1981-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19811001-19811031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1981-10-31'}
-Dates in resampled not in raw: {'1981-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19811101-19811130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1981-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19811201-19811231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1981-12-31'}
-Dates in resampled not in raw: {'1981-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19820101-19820131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1982-01-31'}
-Dates in resampled not in raw: {'1982-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19820201-19820228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1982-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19820301-19820331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1982-03-30', '1982-03-31'}
-Dates in resampled not in raw: {'1982-02-29', '1982-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19820401-19820430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1982-04-29', '1982-04-30'}
-Dates in resampled not in raw: {'1982-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19820501-19820531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1982-05-30', '1982-05-31'}
-Dates in resampled not in raw: {'1982-04-29', '1982-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19820601-19820630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1982-06-30'}
-Dates in resampled not in raw: {'1982-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19820701-19820731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1982-07-31', '1982-07-30'}
-Dates in resampled not in raw: {'1982-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19820801-19820831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1982-08-31'}
-Dates in resampled not in raw: {'1982-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19820901-19820930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1982-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19821001-19821031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1982-10-31'}
-Dates in resampled not in raw: {'1982-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19821101-19821130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1982-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19821201-19821231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1982-12-31'}
-Dates in resampled not in raw: {'1982-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19830101-19830131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1983-01-31'}
-Dates in resampled not in raw: {'1983-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19830201-19830228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1983-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19830301-19830331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1983-03-30', '1983-03-31'}
-Dates in resampled not in raw: {'1983-02-30', '1983-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19830401-19830430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1983-04-30', '1983-04-29'}
-Dates in resampled not in raw: {'1983-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19830501-19830531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1983-05-31', '1983-05-30'}
-Dates in resampled not in raw: {'1983-04-30', '1983-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_19830601-19830630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1983-06-30'}
-Dates in resampled not in raw: {'1983-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19830701-19830731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1983-07-31', '1983-07-30'}
-Dates in resampled not in raw: {'1983-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19830801-19830831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1983-08-31'}
-Dates in resampled not in raw: {'1983-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19830901-19830930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1983-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19831001-19831031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1983-10-31'}
-Dates in resampled not in raw: {'1983-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19831101-19831130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1983-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19831201-19831231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1983-12-31'}
-Dates in resampled not in raw: {'1983-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19840101-19840131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1984-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19840301-19840331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1984-03-31'}
-Dates in resampled not in raw: {'1984-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19840401-19840430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1984-04-30'}
-Dates in resampled not in raw: {'1984-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19840501-19840531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1984-05-31'}
-Dates in resampled not in raw: {'1984-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19840601-19840630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1984-06-30'}
-Dates in resampled not in raw: {'1984-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19840701-19840731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1984-07-31'}
-Dates in resampled not in raw: {'1984-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19840801-19840831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1984-08-31'}
-Dates in resampled not in raw: {'1984-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19841001-19841031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1984-10-31'}
-Dates in resampled not in raw: {'1984-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19841201-19841231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1984-12-31'}
-Dates in resampled not in raw: {'1984-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19850101-19850131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1985-01-31'}
-Dates in resampled not in raw: {'1985-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19850201-19850228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1985-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19850301-19850331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1985-03-31', '1985-03-30'}
-Dates in resampled not in raw: {'1985-02-30', '1985-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19850401-19850430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1985-04-29', '1985-04-30'}
-Dates in resampled not in raw: {'1985-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19850501-19850531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1985-05-31', '1985-05-30'}
-Dates in resampled not in raw: {'1985-04-29', '1985-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19850601-19850630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1985-06-30'}
-Dates in resampled not in raw: {'1985-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19850701-19850731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1985-07-31', '1985-07-30'}
-Dates in resampled not in raw: {'1985-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19850801-19850831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1985-08-31'}
-Dates in resampled not in raw: {'1985-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19850901-19850930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1985-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19851001-19851031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1985-10-31'}
-Dates in resampled not in raw: {'1985-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19851101-19851130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1985-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19851201-19851231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1985-12-31'}
-Dates in resampled not in raw: {'1985-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19860101-19860131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1986-01-31'}
-Dates in resampled not in raw: {'1986-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19860201-19860228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1986-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19860301-19860331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1986-03-31', '1986-03-30'}
-Dates in resampled not in raw: {'1986-02-29', '1986-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19860401-19860430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1986-04-30', '1986-04-29'}
-Dates in resampled not in raw: {'1986-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19860501-19860531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1986-05-31', '1986-05-30'}
-Dates in resampled not in raw: {'1986-04-30', '1986-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_19860601-19860630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1986-06-30'}
-Dates in resampled not in raw: {'1986-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19860701-19860731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1986-07-31', '1986-07-30'}
-Dates in resampled not in raw: {'1986-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19860801-19860831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1986-08-31'}
-Dates in resampled not in raw: {'1986-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19860901-19860930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1986-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19861001-19861031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1986-10-31'}
-Dates in resampled not in raw: {'1986-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19861101-19861130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1986-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19861201-19861231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1986-12-31'}
-Dates in resampled not in raw: {'1986-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19870101-19870131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1987-01-31'}
-Dates in resampled not in raw: {'1987-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19870201-19870228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1987-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19870301-19870331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1987-03-30', '1987-03-31'}
-Dates in resampled not in raw: {'1987-02-30', '1987-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19870401-19870430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1987-04-29', '1987-04-30'}
-Dates in resampled not in raw: {'1987-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19870501-19870531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1987-05-30', '1987-05-31'}
-Dates in resampled not in raw: {'1987-04-29', '1987-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19870601-19870630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1987-06-30'}
-Dates in resampled not in raw: {'1987-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19870701-19870731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1987-07-31', '1987-07-30'}
-Dates in resampled not in raw: {'1987-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19870801-19870831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1987-08-31'}
-Dates in resampled not in raw: {'1987-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19870901-19870930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1987-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19871001-19871031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1987-10-31'}
-Dates in resampled not in raw: {'1987-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19871101-19871130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1987-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19871201-19871231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1987-12-31'}
-Dates in resampled not in raw: {'1987-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19880101-19880131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1988-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19880301-19880331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1988-03-31'}
-Dates in resampled not in raw: {'1988-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19880401-19880430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1988-04-30'}
-Dates in resampled not in raw: {'1988-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19880501-19880531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1988-05-31'}
-Dates in resampled not in raw: {'1988-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19880601-19880630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1988-06-30'}
-Dates in resampled not in raw: {'1988-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19880701-19880731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1988-07-31'}
-Dates in resampled not in raw: {'1988-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19880801-19880831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1988-08-31'}
-Dates in resampled not in raw: {'1988-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19881001-19881031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1988-10-31'}
-Dates in resampled not in raw: {'1988-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19881201-19881231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1988-12-31'}
-Dates in resampled not in raw: {'1988-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19890101-19890131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1989-01-31'}
-Dates in resampled not in raw: {'1989-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19890201-19890228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1989-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19890301-19890331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1989-03-30', '1989-03-31'}
-Dates in resampled not in raw: {'1989-02-29', '1989-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19890401-19890430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1989-04-30', '1989-04-29'}
-Dates in resampled not in raw: {'1989-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19890501-19890531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1989-05-30', '1989-05-31'}
-Dates in resampled not in raw: {'1989-04-30', '1989-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_19890601-19890630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1989-06-30'}
-Dates in resampled not in raw: {'1989-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19890701-19890731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1989-07-30', '1989-07-31'}
-Dates in resampled not in raw: {'1989-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19890801-19890831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1989-08-31'}
-Dates in resampled not in raw: {'1989-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19890901-19890930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1989-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19891001-19891031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1989-10-31'}
-Dates in resampled not in raw: {'1989-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19891101-19891130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1989-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19891201-19891231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1989-12-31'}
-Dates in resampled not in raw: {'1989-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19900101-19900131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1990-01-31'}
-Dates in resampled not in raw: {'1990-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19900201-19900228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1990-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19900301-19900331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1990-03-30', '1990-03-31'}
-Dates in resampled not in raw: {'1990-02-30', '1990-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19900401-19900430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1990-04-29', '1990-04-30'}
-Dates in resampled not in raw: {'1990-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19900501-19900531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1990-05-31', '1990-05-30'}
-Dates in resampled not in raw: {'1990-04-29', '1990-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19900601-19900630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1990-06-30'}
-Dates in resampled not in raw: {'1990-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19900701-19900731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1990-07-30', '1990-07-31'}
-Dates in resampled not in raw: {'1990-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19900801-19900831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1990-08-31'}
-Dates in resampled not in raw: {'1990-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19900901-19900930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1990-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19901001-19901031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1990-10-31'}
-Dates in resampled not in raw: {'1990-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19901101-19901130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1990-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19901201-19901231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1990-12-31'}
-Dates in resampled not in raw: {'1990-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19910101-19910131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1991-01-31'}
-Dates in resampled not in raw: {'1991-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19910201-19910228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1991-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19910301-19910331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1991-03-31', '1991-03-30'}
-Dates in resampled not in raw: {'1991-02-29', '1991-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19910401-19910430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1991-04-29', '1991-04-30'}
-Dates in resampled not in raw: {'1991-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19910501-19910531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1991-05-31', '1991-05-30'}
-Dates in resampled not in raw: {'1991-04-29', '1991-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19910601-19910630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1991-06-30'}
-Dates in resampled not in raw: {'1991-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19910701-19910731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1991-07-30', '1991-07-31'}
-Dates in resampled not in raw: {'1991-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19910801-19910831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1991-08-31'}
-Dates in resampled not in raw: {'1991-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19910901-19910930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1991-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19911001-19911031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1991-10-31'}
-Dates in resampled not in raw: {'1991-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19911101-19911130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1991-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19911201-19911231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1991-12-31'}
-Dates in resampled not in raw: {'1991-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19920101-19920131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1992-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19920301-19920331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1992-03-31'}
-Dates in resampled not in raw: {'1992-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19920401-19920430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1992-04-30'}
-Dates in resampled not in raw: {'1992-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19920501-19920531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1992-05-31'}
-Dates in resampled not in raw: {'1992-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19920601-19920630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1992-06-30'}
-Dates in resampled not in raw: {'1992-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19920701-19920731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1992-07-31'}
-Dates in resampled not in raw: {'1992-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19920801-19920831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1992-08-31'}
-Dates in resampled not in raw: {'1992-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19921001-19921031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1992-10-31'}
-Dates in resampled not in raw: {'1992-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19921201-19921231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1992-12-31'}
-Dates in resampled not in raw: {'1992-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19930101-19930131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1993-01-31'}
-Dates in resampled not in raw: {'1993-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19930201-19930228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1993-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19930301-19930331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1993-03-30', '1993-03-31'}
-Dates in resampled not in raw: {'1993-02-29', '1993-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19930401-19930430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1993-04-29', '1993-04-30'}
-Dates in resampled not in raw: {'1993-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19930501-19930531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1993-05-31', '1993-05-30'}
-Dates in resampled not in raw: {'1993-04-29', '1993-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19930601-19930630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1993-06-30'}
-Dates in resampled not in raw: {'1993-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19930701-19930731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1993-07-31', '1993-07-30'}
-Dates in resampled not in raw: {'1993-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19930801-19930831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1993-08-31'}
-Dates in resampled not in raw: {'1993-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19930901-19930930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1993-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19931001-19931031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1993-10-31'}
-Dates in resampled not in raw: {'1993-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19931101-19931130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1993-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19931201-19931231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1993-12-31'}
-Dates in resampled not in raw: {'1993-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19940101-19940131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1994-01-31'}
-Dates in resampled not in raw: {'1994-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19940201-19940228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1994-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19940301-19940331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1994-03-30', '1994-03-31'}
-Dates in resampled not in raw: {'1994-02-29', '1994-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19940401-19940430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1994-04-30', '1994-04-29'}
-Dates in resampled not in raw: {'1994-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19940501-19940531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1994-05-31', '1994-05-30'}
-Dates in resampled not in raw: {'1994-04-30', '1994-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_19940601-19940630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1994-06-30'}
-Dates in resampled not in raw: {'1994-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19940701-19940731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1994-07-31', '1994-07-30'}
-Dates in resampled not in raw: {'1994-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19940801-19940831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1994-08-31'}
-Dates in resampled not in raw: {'1994-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19940901-19940930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1994-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19941001-19941031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1994-10-31'}
-Dates in resampled not in raw: {'1994-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19941101-19941130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1994-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19941201-19941231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1994-12-31'}
-Dates in resampled not in raw: {'1994-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19950101-19950131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1995-01-31'}
-Dates in resampled not in raw: {'1995-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19950201-19950228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1995-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19950301-19950331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1995-03-31', '1995-03-30'}
-Dates in resampled not in raw: {'1995-02-30', '1995-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19950401-19950430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1995-04-29', '1995-04-30'}
-Dates in resampled not in raw: {'1995-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19950501-19950531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1995-05-30', '1995-05-31'}
-Dates in resampled not in raw: {'1995-04-29', '1995-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19950601-19950630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1995-06-30'}
-Dates in resampled not in raw: {'1995-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19950701-19950731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1995-07-30', '1995-07-31'}
-Dates in resampled not in raw: {'1995-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19950801-19950831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1995-08-31'}
-Dates in resampled not in raw: {'1995-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19950901-19950930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1995-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19951001-19951031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1995-10-31'}
-Dates in resampled not in raw: {'1995-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19951101-19951130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1995-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19951201-19951231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1995-12-31'}
-Dates in resampled not in raw: {'1995-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19960101-19960131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1996-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19960301-19960331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1996-03-31'}
-Dates in resampled not in raw: {'1996-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19960401-19960430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1996-04-30'}
-Dates in resampled not in raw: {'1996-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19960501-19960531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1996-05-31'}
-Dates in resampled not in raw: {'1996-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19960601-19960630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1996-06-30'}
-Dates in resampled not in raw: {'1996-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19960701-19960731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1996-07-31'}
-Dates in resampled not in raw: {'1996-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19960801-19960831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1996-08-31'}
-Dates in resampled not in raw: {'1996-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19961001-19961031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1996-10-31'}
-Dates in resampled not in raw: {'1996-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19961201-19961231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1996-12-31'}
-Dates in resampled not in raw: {'1996-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19970101-19970131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1997-01-31'}
-Dates in resampled not in raw: {'1997-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19970201-19970228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1997-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19970301-19970331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1997-03-30', '1997-03-31'}
-Dates in resampled not in raw: {'1997-02-29', '1997-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19970401-19970430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1997-04-30', '1997-04-29'}
-Dates in resampled not in raw: {'1997-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19970501-19970531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1997-05-30', '1997-05-31'}
-Dates in resampled not in raw: {'1997-04-30', '1997-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_19970601-19970630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1997-06-30'}
-Dates in resampled not in raw: {'1997-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19970701-19970731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1997-07-30', '1997-07-31'}
-Dates in resampled not in raw: {'1997-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19970801-19970831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1997-08-31'}
-Dates in resampled not in raw: {'1997-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19970901-19970930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1997-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19971001-19971031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1997-10-31'}
-Dates in resampled not in raw: {'1997-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19971101-19971130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1997-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19971201-19971231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1997-12-31'}
-Dates in resampled not in raw: {'1997-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19980101-19980131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1998-01-31'}
-Dates in resampled not in raw: {'1998-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19980201-19980228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1998-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19980301-19980331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1998-03-31', '1998-03-30'}
-Dates in resampled not in raw: {'1998-02-30', '1998-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19980401-19980430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1998-04-29', '1998-04-30'}
-Dates in resampled not in raw: {'1998-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19980501-19980531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1998-05-30', '1998-05-31'}
-Dates in resampled not in raw: {'1998-04-29', '1998-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19980601-19980630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1998-06-30'}
-Dates in resampled not in raw: {'1998-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19980701-19980731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1998-07-31', '1998-07-30'}
-Dates in resampled not in raw: {'1998-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19980801-19980831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1998-08-31'}
-Dates in resampled not in raw: {'1998-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19980901-19980930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1998-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19981001-19981031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1998-10-31'}
-Dates in resampled not in raw: {'1998-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19981101-19981130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1998-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19981201-19981231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1998-12-31'}
-Dates in resampled not in raw: {'1998-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19990101-19990131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1999-01-31'}
-Dates in resampled not in raw: {'1999-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19990201-19990228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1999-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19990301-19990331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1999-03-31', '1999-03-30'}
-Dates in resampled not in raw: {'1999-02-29', '1999-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19990401-19990430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1999-04-29', '1999-04-30'}
-Dates in resampled not in raw: {'1999-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19990501-19990531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1999-05-30', '1999-05-31'}
-Dates in resampled not in raw: {'1999-04-29', '1999-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19990601-19990630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1999-06-30'}
-Dates in resampled not in raw: {'1999-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19990701-19990731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1999-07-31', '1999-07-30'}
-Dates in resampled not in raw: {'1999-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19990801-19990831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1999-08-31'}
-Dates in resampled not in raw: {'1999-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19990901-19990930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1999-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19991001-19991031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1999-10-31'}
-Dates in resampled not in raw: {'1999-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19991101-19991130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1999-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19991201-19991231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1999-12-31'}
-Dates in resampled not in raw: {'1999-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20000101-20000131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2000-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20000301-20000331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2000-03-31'}
-Dates in resampled not in raw: {'2000-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20000401-20000430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2000-04-30'}
-Dates in resampled not in raw: {'2000-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20000501-20000531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2000-05-31'}
-Dates in resampled not in raw: {'2000-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20000601-20000630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2000-06-30'}
-Dates in resampled not in raw: {'2000-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20000701-20000731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2000-07-31'}
-Dates in resampled not in raw: {'2000-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20000801-20000831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2000-08-31'}
-Dates in resampled not in raw: {'2000-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20001001-20001031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2000-10-31'}
-Dates in resampled not in raw: {'2000-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20001201-20001231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2000-12-31'}
-Dates in resampled not in raw: {'2000-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20010101-20010131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2001-01-31'}
-Dates in resampled not in raw: {'2001-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20010201-20010228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2001-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20010301-20010331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2001-03-31', '2001-03-30'}
-Dates in resampled not in raw: {'2001-02-30', '2001-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20010401-20010430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2001-04-29', '2001-04-30'}
-Dates in resampled not in raw: {'2001-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20010501-20010531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2001-05-31', '2001-05-30'}
-Dates in resampled not in raw: {'2001-04-29', '2001-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20010601-20010630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2001-06-30'}
-Dates in resampled not in raw: {'2001-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20010701-20010731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2001-07-30', '2001-07-31'}
-Dates in resampled not in raw: {'2001-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20010801-20010831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2001-08-31'}
-Dates in resampled not in raw: {'2001-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20010901-20010930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2001-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20011001-20011031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2001-10-31'}
-Dates in resampled not in raw: {'2001-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20011101-20011130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2001-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20011201-20011231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2001-12-31'}
-Dates in resampled not in raw: {'2001-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20020101-20020131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2002-01-31'}
-Dates in resampled not in raw: {'2002-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20020201-20020228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2002-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20020301-20020331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2002-03-30', '2002-03-31'}
-Dates in resampled not in raw: {'2002-02-29', '2002-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20020401-20020430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2002-04-29', '2002-04-30'}
-Dates in resampled not in raw: {'2002-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20020501-20020531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2002-05-31', '2002-05-30'}
-Dates in resampled not in raw: {'2002-04-29', '2002-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20020601-20020630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2002-06-30'}
-Dates in resampled not in raw: {'2002-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20020701-20020731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2002-07-31', '2002-07-30'}
-Dates in resampled not in raw: {'2002-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20020801-20020831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2002-08-31'}
-Dates in resampled not in raw: {'2002-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20020901-20020930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2002-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20021001-20021031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2002-10-31'}
-Dates in resampled not in raw: {'2002-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20021101-20021130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2002-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20021201-20021231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2002-12-31'}
-Dates in resampled not in raw: {'2002-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20030101-20030131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2003-01-31'}
-Dates in resampled not in raw: {'2003-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20030201-20030228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2003-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20030301-20030331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2003-03-31', '2003-03-30'}
-Dates in resampled not in raw: {'2003-02-29', '2003-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20030401-20030430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2003-04-30', '2003-04-29'}
-Dates in resampled not in raw: {'2003-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20030501-20030531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2003-05-31', '2003-05-30'}
-Dates in resampled not in raw: {'2003-04-30', '2003-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20030601-20030630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2003-06-30'}
-Dates in resampled not in raw: {'2003-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20030701-20030731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2003-07-31', '2003-07-30'}
-Dates in resampled not in raw: {'2003-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20030801-20030831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2003-08-31'}
-Dates in resampled not in raw: {'2003-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20030901-20030930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2003-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20031001-20031031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2003-10-31'}
-Dates in resampled not in raw: {'2003-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20031101-20031130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2003-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20031201-20031231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2003-12-31'}
-Dates in resampled not in raw: {'2003-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20040101-20040131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2004-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20040301-20040331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2004-03-31'}
-Dates in resampled not in raw: {'2004-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20040401-20040430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2004-04-30'}
-Dates in resampled not in raw: {'2004-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20040501-20040531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2004-05-31'}
-Dates in resampled not in raw: {'2004-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20040601-20040630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2004-06-30'}
-Dates in resampled not in raw: {'2004-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20040701-20040731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2004-07-31'}
-Dates in resampled not in raw: {'2004-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20040801-20040831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2004-08-31'}
-Dates in resampled not in raw: {'2004-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20041001-20041031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2004-10-31'}
-Dates in resampled not in raw: {'2004-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20041201-20041231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2004-12-31'}
-Dates in resampled not in raw: {'2004-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20050101-20050131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2005-01-31'}
-Dates in resampled not in raw: {'2005-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20050201-20050228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2005-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20050301-20050331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2005-03-30', '2005-03-31'}
-Dates in resampled not in raw: {'2005-02-30', '2005-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20050401-20050430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2005-04-30', '2005-04-29'}
-Dates in resampled not in raw: {'2005-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20050501-20050531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2005-05-31', '2005-05-30'}
-Dates in resampled not in raw: {'2005-04-30', '2005-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20050601-20050630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2005-06-30'}
-Dates in resampled not in raw: {'2005-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20050701-20050731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2005-07-31', '2005-07-30'}
-Dates in resampled not in raw: {'2005-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20050801-20050831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2005-08-31'}
-Dates in resampled not in raw: {'2005-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20050901-20050930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2005-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20051001-20051031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2005-10-31'}
-Dates in resampled not in raw: {'2005-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20051101-20051130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2005-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20051201-20051231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2005-12-31'}
-Dates in resampled not in raw: {'2005-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20060101-20060131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2006-01-31'}
-Dates in resampled not in raw: {'2006-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20060201-20060228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2006-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20060301-20060331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2006-03-31', '2006-03-30'}
-Dates in resampled not in raw: {'2006-02-30', '2006-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20060401-20060430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2006-04-30', '2006-04-29'}
-Dates in resampled not in raw: {'2006-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20060501-20060531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2006-05-30', '2006-05-31'}
-Dates in resampled not in raw: {'2006-04-30', '2006-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20060601-20060630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2006-06-30'}
-Dates in resampled not in raw: {'2006-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20060701-20060731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2006-07-30', '2006-07-31'}
-Dates in resampled not in raw: {'2006-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20060801-20060831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2006-08-31'}
-Dates in resampled not in raw: {'2006-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20060901-20060930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2006-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20061001-20061031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2006-10-31'}
-Dates in resampled not in raw: {'2006-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20061101-20061130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2006-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20061201-20061231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2006-12-31'}
-Dates in resampled not in raw: {'2006-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20070101-20070131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2007-01-31'}
-Dates in resampled not in raw: {'2007-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20070201-20070228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2007-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20070301-20070331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2007-03-30', '2007-03-31'}
-Dates in resampled not in raw: {'2007-02-30', '2007-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20070401-20070430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2007-04-29', '2007-04-30'}
-Dates in resampled not in raw: {'2007-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20070501-20070531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2007-05-30', '2007-05-31'}
-Dates in resampled not in raw: {'2007-04-29', '2007-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20070601-20070630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2007-06-30'}
-Dates in resampled not in raw: {'2007-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20070701-20070731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2007-07-30', '2007-07-31'}
-Dates in resampled not in raw: {'2007-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20070801-20070831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2007-08-31'}
-Dates in resampled not in raw: {'2007-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20070901-20070930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2007-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20071001-20071031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2007-10-31'}
-Dates in resampled not in raw: {'2007-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20071101-20071130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2007-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20071201-20071231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2007-12-31'}
-Dates in resampled not in raw: {'2007-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20080101-20080131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2008-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20080301-20080331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2008-03-31'}
-Dates in resampled not in raw: {'2008-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20080401-20080430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2008-04-30'}
-Dates in resampled not in raw: {'2008-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20080501-20080531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2008-05-31'}
-Dates in resampled not in raw: {'2008-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20080601-20080630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2008-06-30'}
-Dates in resampled not in raw: {'2008-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20080701-20080731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2008-07-31'}
-Dates in resampled not in raw: {'2008-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20080801-20080831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2008-08-31'}
-Dates in resampled not in raw: {'2008-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20081001-20081031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2008-10-31'}
-Dates in resampled not in raw: {'2008-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20081201-20081231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2008-12-31'}
-Dates in resampled not in raw: {'2008-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20090101-20090131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2009-01-31'}
-Dates in resampled not in raw: {'2009-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20090201-20090228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2009-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20090301-20090331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2009-03-31', '2009-03-30'}
-Dates in resampled not in raw: {'2009-02-30', '2009-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20090401-20090430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2009-04-30', '2009-04-29'}
-Dates in resampled not in raw: {'2009-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20090501-20090531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2009-05-30', '2009-05-31'}
-Dates in resampled not in raw: {'2009-04-30', '2009-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20090601-20090630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2009-06-30'}
-Dates in resampled not in raw: {'2009-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20090701-20090731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2009-07-30', '2009-07-31'}
-Dates in resampled not in raw: {'2009-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20090801-20090831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2009-08-31'}
-Dates in resampled not in raw: {'2009-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20090901-20090930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2009-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20091001-20091031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2009-10-31'}
-Dates in resampled not in raw: {'2009-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20091101-20091130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2009-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20091201-20091231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2009-12-31'}
-Dates in resampled not in raw: {'2009-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20100101-20100131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2010-01-31'}
-Dates in resampled not in raw: {'2010-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20100201-20100228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2010-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20100301-20100331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2010-03-30', '2010-03-31'}
-Dates in resampled not in raw: {'2010-02-30', '2010-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20100401-20100430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2010-04-30', '2010-04-29'}
-Dates in resampled not in raw: {'2010-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20100501-20100531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2010-05-31', '2010-05-30'}
-Dates in resampled not in raw: {'2010-04-30', '2010-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20100601-20100630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2010-06-30'}
-Dates in resampled not in raw: {'2010-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20100701-20100731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2010-07-30', '2010-07-31'}
-Dates in resampled not in raw: {'2010-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20100801-20100831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2010-08-31'}
-Dates in resampled not in raw: {'2010-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20100901-20100930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2010-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20101001-20101031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2010-10-31'}
-Dates in resampled not in raw: {'2010-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20101101-20101130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2010-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20101201-20101231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2010-12-31'}
-Dates in resampled not in raw: {'2010-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20110101-20110131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2011-01-31'}
-Dates in resampled not in raw: {'2011-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20110201-20110228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2011-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20110301-20110331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2011-03-31', '2011-03-30'}
-Dates in resampled not in raw: {'2011-02-30', '2011-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20110401-20110430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2011-04-29', '2011-04-30'}
-Dates in resampled not in raw: {'2011-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20110501-20110531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2011-05-30', '2011-05-31'}
-Dates in resampled not in raw: {'2011-04-29', '2011-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20110601-20110630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2011-06-30'}
-Dates in resampled not in raw: {'2011-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20110701-20110731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2011-07-31', '2011-07-30'}
-Dates in resampled not in raw: {'2011-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20110801-20110831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2011-08-31'}
-Dates in resampled not in raw: {'2011-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20110901-20110930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2011-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20111001-20111031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2011-10-31'}
-Dates in resampled not in raw: {'2011-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20111101-20111130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2011-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20111201-20111231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2011-12-31'}
-Dates in resampled not in raw: {'2011-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20120101-20120131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2012-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20120301-20120331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2012-03-31'}
-Dates in resampled not in raw: {'2012-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20120401-20120430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2012-04-30'}
-Dates in resampled not in raw: {'2012-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20120501-20120531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2012-05-31'}
-Dates in resampled not in raw: {'2012-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20120601-20120630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2012-06-30'}
-Dates in resampled not in raw: {'2012-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20120701-20120731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2012-07-31'}
-Dates in resampled not in raw: {'2012-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20120801-20120831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2012-08-31'}
-Dates in resampled not in raw: {'2012-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20121001-20121031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2012-10-31'}
-Dates in resampled not in raw: {'2012-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20121201-20121231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2012-12-31'}
-Dates in resampled not in raw: {'2012-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20130101-20130131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2013-01-31'}
-Dates in resampled not in raw: {'2013-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20130201-20130228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2013-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20130301-20130331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2013-03-31', '2013-03-30'}
-Dates in resampled not in raw: {'2013-02-29', '2013-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20130401-20130430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2013-04-30', '2013-04-29'}
-Dates in resampled not in raw: {'2013-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20130501-20130531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2013-05-31', '2013-05-30'}
-Dates in resampled not in raw: {'2013-04-30', '2013-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20130601-20130630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2013-06-30'}
-Dates in resampled not in raw: {'2013-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20130701-20130731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2013-07-30', '2013-07-31'}
-Dates in resampled not in raw: {'2013-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20130801-20130831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2013-08-31'}
-Dates in resampled not in raw: {'2013-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20130901-20130930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2013-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20131001-20131031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2013-10-31'}
-Dates in resampled not in raw: {'2013-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20131101-20131130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2013-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20131201-20131231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2013-12-31'}
-Dates in resampled not in raw: {'2013-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20140101-20140131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2014-01-31'}
-Dates in resampled not in raw: {'2014-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20140201-20140228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2014-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20140301-20140331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2014-03-31', '2014-03-30'}
-Dates in resampled not in raw: {'2014-02-29', '2014-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20140401-20140430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2014-04-30', '2014-04-29'}
-Dates in resampled not in raw: {'2014-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20140501-20140531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2014-05-31', '2014-05-30'}
-Dates in resampled not in raw: {'2014-04-30', '2014-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20140601-20140630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2014-06-30'}
-Dates in resampled not in raw: {'2014-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20140701-20140731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2014-07-30', '2014-07-31'}
-Dates in resampled not in raw: {'2014-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20140801-20140831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2014-08-31'}
-Dates in resampled not in raw: {'2014-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20140901-20140930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2014-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20141001-20141031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2014-10-31'}
-Dates in resampled not in raw: {'2014-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20141101-20141130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2014-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20141201-20141231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2014-12-31'}
-Dates in resampled not in raw: {'2014-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20150101-20150131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2015-01-31'}
-Dates in resampled not in raw: {'2015-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20150201-20150228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2015-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20150301-20150331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2015-03-31', '2015-03-30'}
-Dates in resampled not in raw: {'2015-02-29', '2015-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20150401-20150430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2015-04-29', '2015-04-30'}
-Dates in resampled not in raw: {'2015-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20150501-20150531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2015-05-30', '2015-05-31'}
-Dates in resampled not in raw: {'2015-04-29', '2015-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20150601-20150630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2015-06-30'}
-Dates in resampled not in raw: {'2015-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20150701-20150731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2015-07-31', '2015-07-30'}
-Dates in resampled not in raw: {'2015-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20150801-20150831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2015-08-31'}
-Dates in resampled not in raw: {'2015-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20150901-20150930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2015-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20151001-20151031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2015-10-31'}
-Dates in resampled not in raw: {'2015-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20151101-20151130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2015-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20151201-20151231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2015-12-31'}
-Dates in resampled not in raw: {'2015-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20160101-20160131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2016-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20160301-20160331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2016-03-31'}
-Dates in resampled not in raw: {'2016-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20160401-20160430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2016-04-30'}
-Dates in resampled not in raw: {'2016-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20160501-20160531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2016-05-31'}
-Dates in resampled not in raw: {'2016-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20160601-20160630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2016-06-30'}
-Dates in resampled not in raw: {'2016-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20160701-20160731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2016-07-31'}
-Dates in resampled not in raw: {'2016-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20160801-20160831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2016-08-31'}
-Dates in resampled not in raw: {'2016-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20161001-20161031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2016-10-31'}
-Dates in resampled not in raw: {'2016-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20161201-20161231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2016-12-31'}
-Dates in resampled not in raw: {'2016-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20170101-20170131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2017-01-31'}
-Dates in resampled not in raw: {'2017-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20170201-20170228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2017-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20170301-20170331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2017-03-30', '2017-03-31'}
-Dates in resampled not in raw: {'2017-02-30', '2017-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20170401-20170430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2017-04-30', '2017-04-29'}
-Dates in resampled not in raw: {'2017-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20170501-20170531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2017-05-31', '2017-05-30'}
-Dates in resampled not in raw: {'2017-04-30', '2017-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20170601-20170630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2017-06-30'}
-Dates in resampled not in raw: {'2017-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20170701-20170731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2017-07-30', '2017-07-31'}
-Dates in resampled not in raw: {'2017-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20170801-20170831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2017-08-31'}
-Dates in resampled not in raw: {'2017-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20170901-20170930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2017-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20171001-20171031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2017-10-31'}
-Dates in resampled not in raw: {'2017-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20171101-20171130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2017-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20171201-20171231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2017-12-31'}
-Dates in resampled not in raw: {'2017-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20180101-20180131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2018-01-31'}
-Dates in resampled not in raw: {'2018-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20180201-20180228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2018-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20180301-20180331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2018-03-30', '2018-03-31'}
-Dates in resampled not in raw: {'2018-02-29', '2018-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20180401-20180430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2018-04-29', '2018-04-30'}
-Dates in resampled not in raw: {'2018-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20180501-20180531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2018-05-30', '2018-05-31'}
-Dates in resampled not in raw: {'2018-04-29', '2018-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20180601-20180630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2018-06-30'}
-Dates in resampled not in raw: {'2018-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20180701-20180731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2018-07-30', '2018-07-31'}
-Dates in resampled not in raw: {'2018-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20180801-20180831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2018-08-31'}
-Dates in resampled not in raw: {'2018-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20180901-20180930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2018-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20181001-20181031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2018-10-31'}
-Dates in resampled not in raw: {'2018-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20181101-20181130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2018-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20181201-20181231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2018-12-31'}
-Dates in resampled not in raw: {'2018-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20190101-20190131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2019-01-31'}
-Dates in resampled not in raw: {'2019-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20190201-20190228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2019-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20190301-20190331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2019-03-31', '2019-03-30'}
-Dates in resampled not in raw: {'2019-02-30', '2019-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20190401-20190430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2019-04-30', '2019-04-29'}
-Dates in resampled not in raw: {'2019-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20190501-20190531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2019-05-31', '2019-05-30'}
-Dates in resampled not in raw: {'2019-04-30', '2019-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20190601-20190630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2019-06-30'}
-Dates in resampled not in raw: {'2019-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20190701-20190731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2019-07-31', '2019-07-30'}
-Dates in resampled not in raw: {'2019-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20190801-20190831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2019-08-31'}
-Dates in resampled not in raw: {'2019-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20190901-20190930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2019-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20191001-20191031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2019-10-31'}
-Dates in resampled not in raw: {'2019-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20191101-20191130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2019-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20191201-20191231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2019-12-31'}
-Dates in resampled not in raw: {'2019-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20200101-20200131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2020-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20200301-20200331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2020-03-31'}
-Dates in resampled not in raw: {'2020-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20200401-20200430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2020-04-30'}
-Dates in resampled not in raw: {'2020-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20200501-20200531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2020-05-31'}
-Dates in resampled not in raw: {'2020-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20200601-20200630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2020-06-30'}
-Dates in resampled not in raw: {'2020-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20200701-20200731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2020-07-31'}
-Dates in resampled not in raw: {'2020-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20200801-20200831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2020-08-31'}
-Dates in resampled not in raw: {'2020-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20201001-20201031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2020-10-31'}
-Dates in resampled not in raw: {'2020-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20201201-20201231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2020-12-31'}
-Dates in resampled not in raw: {'2020-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20210101-20210131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2021-01-31'}
-Dates in resampled not in raw: {'2021-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20210201-20210228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2021-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20210301-20210331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2021-03-31', '2021-03-30'}
-Dates in resampled not in raw: {'2021-02-29', '2021-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20210401-20210430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2021-04-29', '2021-04-30'}
-Dates in resampled not in raw: {'2021-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20210501-20210531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2021-05-31', '2021-05-30'}
-Dates in resampled not in raw: {'2021-04-29', '2021-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20210601-20210630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2021-06-30'}
-Dates in resampled not in raw: {'2021-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20210701-20210731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2021-07-30', '2021-07-31'}
-Dates in resampled not in raw: {'2021-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20210801-20210831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2021-08-31'}
-Dates in resampled not in raw: {'2021-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20210901-20210930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2021-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20211001-20211031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2021-10-31'}
-Dates in resampled not in raw: {'2021-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20211101-20211130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2021-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20211201-20211231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2021-12-31'}
-Dates in resampled not in raw: {'2021-11-30'}
-______________________________
-missing dates: 0
-date '1980-03-30' appears 2 times.
-date '1980-05-30' appears 2 times.
-date '1980-07-30' appears 2 times.
-date '1980-09-30' appears 2 times.
-date '1980-11-30' appears 2 times.
-date '1984-03-30' appears 2 times.
-date '1984-05-30' appears 2 times.
-date '1984-07-30' appears 2 times.
-date '1984-09-30' appears 2 times.
-date '1984-11-30' appears 2 times.
-date '1988-03-30' appears 2 times.
-date '1988-05-30' appears 2 times.
-date '1988-07-30' appears 2 times.
-date '1988-09-30' appears 2 times.
-date '1988-11-30' appears 2 times.
-date '1992-03-30' appears 2 times.
-date '1992-05-30' appears 2 times.
-date '1992-07-30' appears 2 times.
-date '1992-09-30' appears 2 times.
-date '1992-11-30' appears 2 times.
-date '1996-03-30' appears 2 times.
-date '1996-05-30' appears 2 times.
-date '1996-07-30' appears 2 times.
-date '1996-09-30' appears 2 times.
-date '1996-11-30' appears 2 times.
-date '2000-03-30' appears 2 times.
-date '2000-05-30' appears 2 times.
-date '2000-07-30' appears 2 times.
-date '2000-09-30' appears 2 times.
-date '2000-11-30' appears 2 times.
-date '2004-03-30' appears 2 times.
-date '2004-05-30' appears 2 times.
-date '2004-07-30' appears 2 times.
-date '2004-09-30' appears 2 times.
-date '2004-11-30' appears 2 times.
-date '2008-03-30' appears 2 times.
-date '2008-05-30' appears 2 times.
-date '2008-07-30' appears 2 times.
-date '2008-09-30' appears 2 times.
-date '2008-11-30' appears 2 times.
-date '2012-03-30' appears 2 times.
-date '2012-05-30' appears 2 times.
-date '2012-07-30' appears 2 times.
-date '2012-09-30' appears 2 times.
-date '2012-11-30' appears 2 times.
-date '2016-03-30' appears 2 times.
-date '2016-05-30' appears 2 times.
-date '2016-07-30' appears 2 times.
-date '2016-09-30' appears 2 times.
-date '2016-11-30' appears 2 times.
-date '2020-03-30' appears 2 times.
-date '2020-05-30' appears 2 times.
-date '2020-07-30' appears 2 times.
-date '2020-09-30' appears 2 times.
-date '2020-11-30' appears 2 times.
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 9c81a6e1..91c4aec8 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -44,7 +44,6 @@
     GDALNetCDFFormatStr,
 )
 from clim_recal.utils.xarray import (
-    CPM_LOCAL_INTERMEDIATE_PATH,
     FINAL_RESAMPLE_LAT_COL,
     FINAL_RESAMPLE_LON_COL,
     HADS_RAW_X_COLUMN_NAME,
@@ -52,7 +51,6 @@
     NETCDF4_XARRAY_ENGINE,
     BoundsTupleType,
     ConvertCalendarAlignOptions,
-    IntermediateCPMFilesManager,
     convert_xr_calendar,
     cpm_xarray_to_standard_calendar,
     crop_nc,
@@ -127,6 +125,22 @@
     )
 )
 
+# Previous CPM test results, likely flipped
+# FINAL_CPM_DEC_10_5_X_0_10_Y: Final[NDArray] = np.array(
+#     (
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         12.31753,
+#         12.31753,
+#         12.305811,
+#         12.290186,
+#     )
+# )
+
 FINAL_CPM_DEC_10_5_X_0_10_Y: Final[NDArray] = np.array(
     (
         np.nan,
@@ -135,10 +149,10 @@
         np.nan,
         np.nan,
         np.nan,
-        12.31753,
-        12.31753,
-        12.305811,
-        12.290186,
+        5.131494,
+        5.091943,
+        5.091943,
+        5.057275,
     )
 )
 
@@ -567,43 +581,32 @@ def test_cpm_xarray_to_standard_calendar(
 
 @pytest.mark.mount
 @pytest.mark.slow
-def test_cpm_warp_steps(
+def test_cpm_reproject_with_standard_calendar(
     tasmax_cpm_1980_raw: T_Dataset,
     test_runs_output_path: Path,
-    caplog: pytest.LogCaptureFixture,
     variable_name: str = "tasmax",
 ) -> None:
     """Test all steps around calendar and warping CPM RAW data."""
     output_path: Path = results_path(
-        "test-cpm-warp", path=test_runs_output_path, mkdir=True
-    )
-    test_intermediate_files = IntermediateCPMFilesManager(
-        variable_name=variable_name,
-        output_path=output_path,
-        time_series_start=tasmax_cpm_1980_raw.time.values[0],
-        time_series_end=tasmax_cpm_1980_raw.time.values[-1],
+        "test-cpm-warp", path=test_runs_output_path, mkdir=True, extension="nc"
     )
-    projected = cpm_reproject_with_standard_calendar(
+    plot_path: Path = output_path.parent / (output_path.stem + ".png")
+    projected: T_Dataset = cpm_reproject_with_standard_calendar(
         tasmax_cpm_1980_raw,
-        variable_name=variable_name,
-        output_path=output_path,
-        # file_name_prefix=file_name_prefix,
     )
     assert projected.rio.crs == BRITISH_NATIONAL_GRID_EPSG
-    # Previous checks, worth re-wroking/expanding
-    # test_projected = open_dataset(intermediate_warp_path)
-    # assert test_projected.rio.crs == BRITISH_NATIONAL_GRID_EPSG
-    # assert len(test_projected.time) == len(expanded_calendar.time)
-    # assert len(test_projected.x) == len(tasmax_cpm_1980_raw.grid_longitude)
-    # assert len(test_projected.y) == len(tasmax_cpm_1980_raw.grid_latitude)
-    # test_projected.to_netcdf(final_nc_path)
-    assert test_intermediate_files.intermediate_files_folder.name.startswith(
-        CPM_LOCAL_INTERMEDIATE_PATH.name
-    )
-    final_results: T_Dataset = open_dataset(
-        test_intermediate_files.final_nc_path, decode_coords="all"
-    )
-    assert (final_results.time == projected.time).all()
+    projected.to_netcdf(output_path)
+    results: T_Dataset = open_dataset(output_path, decode_coords="all")
+    assert (results.time == projected.time).all()
+    assert results.dims == {
+        FINAL_RESAMPLE_LON_COL: 529,
+        FINAL_RESAMPLE_LAT_COL: 653,
+        "time": 365,
+    }
+    assert results.rio.crs == BRITISH_NATIONAL_GRID_EPSG
+    assert len(results.data_vars) == 1
+    assert_allclose(results[variable_name][10][5][:10], FINAL_CPM_DEC_10_5_X_0_10_Y)
+    plot_xarray(results.tasmax[0], plot_path)
 
 
 @pytest.mark.xfail(reason="test not complete")

From 92f4590a8e8b82e4722c7e6cda664f094cd5ff34 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Fri, 14 Jun 2024 13:27:26 +0100
Subject: [PATCH 22/92] fix: remove `export_path_as_output_path_kwarg=True`
 from `CPMResampler`

---
 python/clim_recal/resample.py |  8 +++----
 python/tests/test_resample.py | 45 ++++-------------------------------
 2 files changed, 9 insertions(+), 44 deletions(-)

diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index 2c722827..049e08f7 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -195,6 +195,10 @@ def __repr__(self) -> str:
     def set_grid(self, new_grid_data_path: PathLike | None = None) -> None:
         """Set check and set (if necessary) `grid` attribute of `self`.
 
+        Notes
+        -----
+        To be depricated.
+
         Parameters
         ----------
         new_grid_data_path
@@ -481,11 +485,7 @@ def to_reprojection(
             func=cpm_reproject_with_standard_calendar,
             new_path_name_func=reproject_standard_calendar_filename,
             export_folder=path,
-            # export_folder=gdal_warp_wrapper,
-            # Leaving in case we return to using warp
-            export_path_as_output_path_kwarg=True,
             to_netcdf=True,
-            # to_netcdf=True,
             variable_name=self.cpm_variable_name,
             # x_grid=self.x,
             # y_grid=self.y,
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 91c4aec8..97c4a6c0 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -74,8 +74,8 @@
 HADS_FIRST_DATES: np.array = np.array(
     ["19800101", "19800102", "19800103", "19800104", "19800105"]
 )
-FINAL_CONVERTED_CPM_WIDTH: Final[int] = 484
-FINAL_CONVERTED_CPM_HEIGHT: Final[int] = 606
+FINAL_CONVERTED_CPM_WIDTH: Final[int] = 529
+FINAL_CONVERTED_CPM_HEIGHT: Final[int] = 653
 
 RAW_CPM_TASMAX_1980_FIRST_5: np.array = np.array(
     [12.654932, 12.63711, 12.616358, 12.594385, 12.565821], dtype="float32"
@@ -91,14 +91,6 @@
     [10.645899, 10.508448, 10.546778, 10.547998, 10.553614], dtype="float32"
 )
 
-# Initial HADS projection test results matched this, leaving to
-# double check before merge to main
-# FINAL_HADS_JAN_10_430_X_370_390_Y: Final[NDArray] = np.array(
-# (        np.nan,     np.nan,     np.nan,    np.nan,      np.nan,
-#          np.nan,     np.nan,     np.nan,    np.nan,  4.99268164,
-#      4.82281839, 4.55366184, 4.45834185, 4.27357187, 4.1575218,
-#      4.07316193, 3.97350405, 3.84286826, 3.81615739, 3.84426594),
-# )
 
 FINAL_HADS_JAN_10_430_X_230_250_Y: Final[NDArray] = np.array(
     (
@@ -125,21 +117,6 @@
     )
 )
 
-# Previous CPM test results, likely flipped
-# FINAL_CPM_DEC_10_5_X_0_10_Y: Final[NDArray] = np.array(
-#     (
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         12.31753,
-#         12.31753,
-#         12.305811,
-#         12.290186,
-#     )
-# )
 
 FINAL_CPM_DEC_10_5_X_0_10_Y: Final[NDArray] = np.array(
     (
@@ -599,8 +576,8 @@ def test_cpm_reproject_with_standard_calendar(
     results: T_Dataset = open_dataset(output_path, decode_coords="all")
     assert (results.time == projected.time).all()
     assert results.dims == {
-        FINAL_RESAMPLE_LON_COL: 529,
-        FINAL_RESAMPLE_LAT_COL: 653,
+        FINAL_RESAMPLE_LON_COL: FINAL_CONVERTED_CPM_HEIGHT,
+        FINAL_RESAMPLE_LAT_COL: FINAL_CONVERTED_CPM_WIDTH,
         "time": 365,
     }
     assert results.rio.crs == BRITISH_NATIONAL_GRID_EPSG
@@ -711,23 +688,11 @@ def test_ukcp_manager(resample_test_cpm_output_path, config: str) -> None:
             )
     export: T_Dataset = open_dataset(paths[0])
     assert export.dims["time"] == 365
-    assert export.dims[FINAL_RESAMPLE_LON_COL] == 492
-    assert export.dims[FINAL_RESAMPLE_LAT_COL] == 608  # previously 603
-    # TODO: check final correct values
+    assert export.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_CPM_WIDTH
     assert_allclose(export.tasmax[10][5][:10].values, FINAL_CPM_DEC_10_5_X_0_10_Y)
-    # assert not np.isnan(export.tasmax.head()[0].values).all()
-    # Todo: reapply these checks to intermediary files
-    # assert export.dims[CPRUK_XDIM] == 484
-    # assert export.dims[CPRUK_YDIM] == 606
-    # assert not np.isnan(export.tasmax.head()[0][0][0].values).all()
     assert (
         CPM_FIRST_DATES == export.time.dt.strftime(CLI_DATE_FORMAT_STR).head().values
     ).all()
-    # assert (
-    #     CPM_FIRST_DATES
-    #     == export.time_bnds.dt.strftime(CLI_DATE_FORMAT_STR).head().values
-    # ).all()
-    # assert (CPM_FIRST_DATES == export.yyyymmdd.head().values).all()
 
 
 # @pytest.mark.xfail(reason="checking `export.tasmax` values currently yields `nan`")

From 12d69b4e76e19029edfe932a47be7b2f14e948e4 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 16 Jun 2024 10:06:37 +0100
Subject: [PATCH 23/92] fix: refactor `hads_reseample_and_reproject` to use
 `xr_reproject_crs`

---
 python/clim_recal/resample.py     |  21 +++--
 python/clim_recal/utils/xarray.py | 123 ++++++++++++++++++------------
 python/conftest.py                |  36 ++++++++-
 python/tests/test_resample.py     |  94 ++++++++++++++++-------
 python/tests/utils.py             |  14 ++++
 5 files changed, 202 insertions(+), 86 deletions(-)

diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index 049e08f7..01181315 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -37,6 +37,7 @@
     HADS_RAW_X_COLUMN_NAME,
     HADS_RAW_Y_COLUMN_NAME,
     NETCDF_EXTENSION_STR,
+    ReprojectFuncType,
     apply_geo_func,
     cpm_reproject_with_standard_calendar,
     hads_resample_and_reproject,
@@ -369,6 +370,7 @@ class HADsResampler(ResamblerBase):
     resolution_relative_path: Path = HADS_2_2K_RESOLUTION_PATH
     input_file_x_column_name: str = HADS_XDIM
     input_file_y_column_name: str = HADS_YDIM
+    _resample_func: ReprojectFuncType = hads_resample_and_reproject
     _use_reference_grid: bool = True
 
     def to_reprojection(
@@ -387,18 +389,20 @@ def to_reprojection(
         return apply_geo_func(
             source_path=source_path,
             # func=interpolate_coords,
-            func=hads_resample_and_reproject,
+            func=self._resample_func,
             export_folder=path,
             # Leaving in case we return to using warp
             # export_path_as_output_path_kwarg=True,
             # to_netcdf=False,
             to_netcdf=True,
             variable_name=self.variable_name,
-            x_grid=self.x,
-            y_grid=self.y,
-            source_x_coord_column_name=self.input_file_x_column_name,
-            source_y_coord_column_name=self.input_file_y_column_name,
-            use_reference_grid=self._use_reference_grid,
+            x_dim_name=self.input_file_x_column_name,
+            y_dim_name=self.input_file_y_column_name,
+            # x_grid=self.x,
+            # y_grid=self.y,
+            # source_x_coord_column_name=self.input_file_x_column_name,
+            # source_y_coord_column_name=self.input_file_y_column_name,
+            # use_reference_grid=self._use_reference_grid,
             new_path_name_func=reproject_2_2km_filename,
             return_results=return_results,
         )
@@ -462,6 +466,7 @@ class CPMResampler(ResamblerBase):
     input_file_x_column_name: str = CPRUK_XDIM
     input_file_y_column_name: str = CPRUK_YDIM
     resolution_relative_path: Path = CPM_SPATIAL_COORDS_PATH
+    _resample_func: ReprojectFuncType = cpm_reproject_with_standard_calendar
 
     @property
     def cpm_variable_name(self) -> str:
@@ -482,11 +487,13 @@ def to_reprojection(
         )
         return apply_geo_func(
             source_path=source_path,
-            func=cpm_reproject_with_standard_calendar,
+            func=self._resample_func,
             new_path_name_func=reproject_standard_calendar_filename,
             export_folder=path,
             to_netcdf=True,
             variable_name=self.cpm_variable_name,
+            x_dim_name=self.input_file_x_column_name,
+            y_dim_name=self.input_file_y_column_name,
             # x_grid=self.x,
             # y_grid=self.y,
             # x_coord_column_name=self.input_file_x_column_name,
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 83437f33..7a95f45c 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -3,7 +3,7 @@
 from logging import getLogger
 from os import PathLike
 from pathlib import Path
-from typing import Any, Callable, Final, Literal, Sequence
+from typing import Any, Callable, Final, Literal
 
 import numpy as np
 import rioxarray  # nopycln: import
@@ -41,6 +41,7 @@
 
 DropDayType = set[tuple[int, int]]
 ChangeDayType = set[tuple[int, int]]
+ReprojectFuncType = Callable[[T_Dataset], T_Dataset]
 
 # MONTH_DAY_DROP: DropDayType = {(1, 31), (4, 1), (6, 1), (8, 1), (10, 1), (12, 1)}
 # """A `set` of tuples of month and day numbers for `enforce_date_changes`."""
@@ -86,7 +87,7 @@
 
 
 @dataclass
-class CityCoords:
+class BondingBoxCoords:
     name: str
     xmin: float
     xmax: float
@@ -99,14 +100,14 @@ def as_tuple(self) -> tuple[float, float, float, float]:
         return self.xmin, self.xmax, self.ymin, self.ymax
 
 
-GlasgowCoordsEPSG27700: Final[CityCoords] = CityCoords(
+GlasgowCoordsEPSG27700: Final[BondingBoxCoords] = BondingBoxCoords(
     "Glasgow", 249799.999600002, 269234.9996, 657761.472000003, 672330.696800007
 )
 
-LondonCoordsEPSG27700: Final[CityCoords] = CityCoords(
+LondonCoordsEPSG27700: Final[BondingBoxCoords] = BondingBoxCoords(
     "London", 503568.1996, 561957.4961, 155850.7974, 200933.9025
 )
-ManchesterCoordsEPSG27700: Final[CityCoords] = CityCoords(
+ManchesterCoordsEPSG27700: Final[BondingBoxCoords] = BondingBoxCoords(
     "Manchester", 380399.997, 393249.999, 389349.999, 405300.003
 )
 
@@ -130,14 +131,16 @@ def as_tuple(self) -> tuple[float, float, float, float]:
 DEFAULT_RELATIVE_GRID_DATA_PATH: Final[Path] = (
     Path().absolute() / "../data/rcp85_land-cpm_uk_2.2km_grid.nc"
 )
+TIME_COLUMN_NAME: Final[str] = "time"
 
 HADS_RAW_X_COLUMN_NAME: Final[str] = "projection_x_coordinate"
 HADS_RAW_Y_COLUMN_NAME: Final[str] = "projection_y_coordinate"
 HADS_DROP_VARS_AFTER_PROJECTION: Final[tuple[str, ...]] = ("longitude", "latitude")
 
-# TODO: CHECK IF I GOT THESE BACKWARDS
-# FINAL_RESAMPLE_LAT_COL: Final[str] = "x"
-# FINAL_RESAMPLE_LON_COL: Final[str] = "y"
+CPM_RAW_X_COLUMN_NAME: Final[str] = "grid_longitude"
+CPM_RAW_Y_COLUMN_NAME: Final[str] = "grid_latitude"
+
+# TODO: CHECK IF THESE ARE BACKWARDS
 FINAL_RESAMPLE_LON_COL: Final[str] = "x"
 FINAL_RESAMPLE_LAT_COL: Final[str] = "y"
 
@@ -229,6 +232,8 @@ def check_xarray_path_and_var_name(
 def cpm_reproject_with_standard_calendar(
     cpm_xr_time_series: T_Dataset | PathLike,
     variable_name: str | None = None,
+    x_dim_name: str = CPM_RAW_X_COLUMN_NAME,
+    y_dim_name: str = CPM_RAW_Y_COLUMN_NAME,
 ) -> T_Dataset:
     """Convert raw `cpm_xr_time_series` to an 365/366 days and 27700 coords.
 
@@ -286,22 +291,25 @@ def cpm_reproject_with_standard_calendar(
     )
 
     subset_in_epsg_27700: T_DataArray = xr_reproject_crs(
-        subset_within_ensemble, variable_name=variable_name
+        subset_within_ensemble,
+        variable_name=variable_name,
+        x_dim_name=x_dim_name,
+        y_dim_name=y_dim_name,
     )
     try:
         assert (subset_in_epsg_27700.time == standar_calendar_ts.time).all()
     except:
         raise ValueError(
-            f"Time series of 'standar_calendar_ts' does not match projection to {BRITISH_NATIONAL_GRID_EPSG}."
+            f"Time series of 'standar_calendar_ts' does not match time series of projection to {BRITISH_NATIONAL_GRID_EPSG}."
         )
     return subset_in_epsg_27700
 
 
 def xr_reproject_crs(
     xr_time_series: T_Dataset | PathLike,
-    x_dim_name: str = "grid_longitude",
-    y_dim_name: str = "grid_latitude",
-    time_dim_name: str = "time",
+    x_dim_name: str = CPM_RAW_X_COLUMN_NAME,
+    y_dim_name: str = CPM_RAW_Y_COLUMN_NAME,
+    time_dim_name: str = TIME_COLUMN_NAME,
     variable_name: str | None = None,
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG,
     final_resolution: tuple[int, int] | None = (2200, 2200),
@@ -313,10 +321,10 @@ def xr_reproject_crs(
     xr_time_series
         `Dataset` or `PathLike` to load and reproject.
     x_dim_name
-        `str` name of `x` spatial dimension in `xr_time_series`.
-    y_dim_name
-        `str` name of `y` spatial dimension in `xr_time_series`.
+        `str` name of `x` spatial dimension in `xr_time_series`. Default matches CPM UK projections.
     y_dim_name
+        `str` name of `y` spatial dimension in `xr_time_series`. Default matches CPM UK projections.
+    time_dim_name
         `str` name of `time` dimension in `xr_time_series`.
     variable_name
         Name of datset to apply projection to within `xr_time_series`.
@@ -468,43 +476,55 @@ def interpolate_coords(
 def hads_resample_and_reproject(
     hads_xr_time_series: T_Dataset | PathLike,
     variable_name: str,
-    x_grid: NDArray | None = None,
-    y_grid: NDArray | None = None,
-    method: str = "linear",
-    source_x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
-    source_y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
-    final_x_coord_column_name: str = FINAL_RESAMPLE_LON_COL,
-    final_y_coord_column_name: str = FINAL_RESAMPLE_LAT_COL,
-    final_crs: str | None = BRITISH_NATIONAL_GRID_EPSG,
-    vars_to_drop: Sequence[str] | None = HADS_DROP_VARS_AFTER_PROJECTION,
-    use_reference_grid: bool = False,
+    x_dim_name: str = HADS_RAW_X_COLUMN_NAME,
+    y_dim_name: str = HADS_RAW_Y_COLUMN_NAME,
+    # x_grid: NDArray | None = None,
+    # y_grid: NDArray | None = None,
+    # method: str = "linear",
+    # source_x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
+    # source_y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
+    # final_x_coord_column_name: str = FINAL_RESAMPLE_LON_COL,
+    # final_y_coord_column_name: str = FINAL_RESAMPLE_LAT_COL,
+    # final_crs: str | None = BRITISH_NATIONAL_GRID_EPSG,
+    # vars_to_drop: Sequence[str] | None = HADS_DROP_VARS_AFTER_PROJECTION,
+    # use_reference_grid: bool = False,
 ) -> T_Dataset:
     """Resample `HADs` `xarray` time series to 2.2km."""
-    if isinstance(hads_xr_time_series, PathLike):
-        hads_xr_time_series = open_dataset(hads_xr_time_series, decode_coords="all")
-
-    interpolated_hads: T_Dataset = interpolate_coords(
+    hads_xr_time_series, variable_name = check_xarray_path_and_var_name(
+        hads_xr_time_series, variable_name
+    )
+    # if isinstance(hads_xr_time_series, PathLike):
+    #     hads_xr_time_series = open_dataset(hads_xr_time_series, decode_coords="all")
+    epsg_277000_2_2km: T_Dataset = xr_reproject_crs(
         hads_xr_time_series,
         variable_name=variable_name,
-        x_grid=x_grid,
-        y_grid=y_grid,
-        x_coord_column_name=source_x_coord_column_name,
-        y_coord_column_name=source_y_coord_column_name,
-        method=method,
-        use_reference_grid=use_reference_grid,
-    )
-    if vars_to_drop:
-        interpolated_hads = interpolated_hads.drop_vars(vars_to_drop)
-
-    interpolated_hads = interpolated_hads.rename(
-        {
-            source_x_coord_column_name: final_x_coord_column_name,
-            source_y_coord_column_name: final_y_coord_column_name,
-        }
+        x_dim_name=x_dim_name,
+        y_dim_name=y_dim_name,
     )
-    if final_crs:
-        interpolated_hads.rio.write_crs(final_crs, inplace=True)
-    return interpolated_hads
+
+    # interpolated_hads: T_Dataset = interpolate_coords(
+    #     hads_xr_time_series,
+    #     variable_name=variable_name,
+    #     x_grid=x_grid,
+    #     y_grid=y_grid,
+    #     x_coord_column_name=source_x_coord_column_name,
+    #     y_coord_column_name=source_y_coord_column_name,
+    #     method=method,
+    #     use_reference_grid=use_reference_grid,
+    # )
+    # if vars_to_drop:
+    #     interpolated_hads = interpolated_hads.drop_vars(vars_to_drop)
+    #
+    # interpolated_hads = interpolated_hads.rename(
+    #     {
+    #         source_x_coord_column_name: final_x_coord_column_name,
+    #         source_y_coord_column_name: final_y_coord_column_name,
+    #     }
+    # )
+    # if final_crs:
+    #     interpolated_hads.rio.write_crs(final_crs, inplace=True)
+    # return interpolated_hads
+    return epsg_277000_2_2km
 
 
 def plot_xarray(
@@ -970,7 +990,7 @@ def gdal_warp_wrapper(
 
 def apply_geo_func(
     source_path: PathLike,
-    func: Callable[[T_Dataset], T_Dataset],
+    func: ReprojectFuncType,
     export_folder: PathLike,
     new_path_name_func: Callable[[Path], Path] | None = None,
     to_netcdf: bool = True,
@@ -1004,6 +1024,11 @@ def apply_geo_func(
     **kwargs
         Other parameters passed to `func` call.
     """
+    if not source_path:
+        raise ValueError(
+            f"Source path must be a folder, currently '{source_path}'. "
+            f"May need to mount drive."
+        )
     export_path: Path = Path(source_path)
     if new_path_name_func:
         export_path = new_path_name_func(export_path)
diff --git a/python/conftest.py b/python/conftest.py
index 262d5094..30b1e7b9 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -111,12 +111,14 @@ def is_data_mounted(data_mount_path) -> bool:
 
 @pytest.fixture(scope="session")
 def local_cache_fixtures(
+    local_cache_path: Path,
     local_cpm_cache_path: Path,
     local_hads_cache_path: Path,
     sync_all: bool,
     use_async: bool,
 ) -> LocalCachesManager:
     cache_manager: LocalCachesManager = LocalCachesManager(
+        default_local_cache_path=local_cache_path,
         caches=(
             LocalCache(
                 name="tasmax_cpm_1980_raw",
@@ -132,7 +134,7 @@ def local_cache_fixtures(
                 reader=open_dataset,
                 reader_kwargs={"decode_coords": "all"},
             ),
-        )
+        ),
     )
     if sync_all:
         if use_async:
@@ -150,6 +152,17 @@ def tasmax_cpm_1980_raw(
     return local_cache_fixtures["tasmax_cpm_1980_raw"].read(cache_path=local_cache)
 
 
+@pytest.fixture(scope="session")
+def tasmax_cpm_1980_raw_path(
+    local_cache: bool,
+    local_cache_fixtures: LocalCachesManager,
+) -> T_Dataset:
+    if local_cache:
+        return local_cache_fixtures["tasmax_cpm_1980_raw"].local_cache_path
+    else:
+        return local_cache_fixtures["tasmax_cpm_1980_raw"].source_path
+
+
 @pytest.fixture(scope="session")
 def tasmax_hads_1980_raw(
     local_cache: bool,
@@ -158,6 +171,17 @@ def tasmax_hads_1980_raw(
     return local_cache_fixtures["tasmax_hads_1980_raw"].read(cache_path=local_cache)
 
 
+@pytest.fixture(scope="session")
+def tasmax_hads_1980_raw_path(
+    local_cache: bool,
+    local_cache_fixtures: LocalCachesManager,
+) -> T_Dataset:
+    if local_cache:
+        return local_cache_fixtures["tasmax_hads_1980_raw"].local_cache_path
+    else:
+        return local_cache_fixtures["tasmax_hads_1980_raw"].source_path
+
+
 # This may be removed in future
 # @pytest.fixture(autouse=True)
 def ensure_python_path() -> None:
@@ -313,8 +337,14 @@ def uk_rotated_grid_bounds() -> BoundsTupleType:
 
 # Note: it may be worth setting this to cache for session runs
 @pytest.fixture
-def clim_runner(tmp_path) -> ClimRecalConfig:
+def clim_runner(
+    tmp_path: Path,
+    local_cache: bool,
+    local_cache_fixtures: LocalCachesManager,
+) -> ClimRecalConfig:
     """Return default `ClimRecalConfig`."""
+    assert local_cache_fixtures.default_local_cache_path
+    assert local_cache_fixtures.check_default_cache_path()
     try:
         return ClimRecalConfig(
             preprocess_out_folder=tmp_path,
@@ -324,6 +354,8 @@ def clim_runner(tmp_path) -> ClimRecalConfig:
         return ClimRecalConfig(
             preprocess_out_folder=tmp_path,
             cities=(CityOptions.GLASGOW, CityOptions.MANCHESTER),
+            hads_folder=local_cache_fixtures.default_local_cache_path,
+            cpm_folder=local_cache_fixtures.default_local_cache_path,
             cpm_kwargs=dict(_allow_check_fail=True),
             hads_kwargs=dict(_allow_check_fail=True),
         )
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 97c4a6c0..d65f344f 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -19,14 +19,10 @@
     DEFAULT_RELATIVE_GRID_DATA_PATH,
     HADS_XDIM,
     HADS_YDIM,
-    RAW_CPM_TASMAX_PATH,
-    RAW_HADS_PATH,
-    RAW_HADS_TASMAX_PATH,
     CPMResampler,
     CPMResamplerManager,
     HADsResampler,
     HADsResamplerManager,
-    cpm_reproject_with_standard_calendar,
 )
 from clim_recal.utils.core import (
     CLI_DATE_FORMAT_STR,
@@ -52,6 +48,7 @@
     BoundsTupleType,
     ConvertCalendarAlignOptions,
     convert_xr_calendar,
+    cpm_reproject_with_standard_calendar,
     cpm_xarray_to_standard_calendar,
     crop_nc,
     file_name_to_start_end_dates,
@@ -60,6 +57,7 @@
     interpolate_coords,
     plot_xarray,
 )
+from conftest import resample_test_cpm_output_path
 
 from .utils import (
     HADS_UK_TASMAX_DAY_SERVER_PATH,
@@ -74,9 +72,18 @@
 HADS_FIRST_DATES: np.array = np.array(
     ["19800101", "19800102", "19800103", "19800104", "19800105"]
 )
+
+CALENDAR_CONVERTED_CPM_WIDTH: Final[int] = 484
+CALENDAR_CONVERTED_CPM_HEIGHT: Final[int] = 606
+
+# FINAL_CONVERTED_CPM_WIDTH: Final[int] = 410
+# FINAL_CONVERTED_CPM_HEIGHT: Final[int] = 660
 FINAL_CONVERTED_CPM_WIDTH: Final[int] = 529
 FINAL_CONVERTED_CPM_HEIGHT: Final[int] = 653
 
+FINAL_CONVERTED_HADS_WIDTH: Final[int] = 410
+FINAL_CONVERTED_HADS_HEIGHT: Final[int] = 660
+
 RAW_CPM_TASMAX_1980_FIRST_5: np.array = np.array(
     [12.654932, 12.63711, 12.616358, 12.594385, 12.565821], dtype="float32"
 )
@@ -503,6 +510,7 @@ def test_geo_warp_format_type_crop(
         assert read_exported.rio.bounds() == glasgow_epsg_27700_bounds
 
 
+@pytest.mark.localcache
 @pytest.mark.mount
 @pytest.mark.slow
 @pytest.mark.parametrize("include_bnds_index", (True, False))
@@ -523,8 +531,8 @@ def test_cpm_xarray_to_standard_calendar(
     test_converted = cpm_xarray_to_standard_calendar(
         tasmax_cpm_1980_raw, include_bnds_index=include_bnds_index
     )
-    assert test_converted.rio.width == FINAL_CONVERTED_CPM_WIDTH
-    assert test_converted.rio.height == FINAL_CONVERTED_CPM_HEIGHT
+    assert test_converted.rio.width == CALENDAR_CONVERTED_CPM_WIDTH
+    assert test_converted.rio.height == CALENDAR_CONVERTED_CPM_HEIGHT
     assert test_converted.rio.crs.to_proj4() == CORRECT_PROJ4
     assert test_converted.tasmax.rio.crs.to_proj4() == CORRECT_PROJ4
     assert len(test_converted.time) == 365
@@ -556,6 +564,7 @@ def test_cpm_xarray_to_standard_calendar(
     ).all()
 
 
+@pytest.mark.localcache
 @pytest.mark.mount
 @pytest.mark.slow
 def test_cpm_reproject_with_standard_calendar(
@@ -576,14 +585,14 @@ def test_cpm_reproject_with_standard_calendar(
     results: T_Dataset = open_dataset(output_path, decode_coords="all")
     assert (results.time == projected.time).all()
     assert results.dims == {
-        FINAL_RESAMPLE_LON_COL: FINAL_CONVERTED_CPM_HEIGHT,
-        FINAL_RESAMPLE_LAT_COL: FINAL_CONVERTED_CPM_WIDTH,
+        FINAL_RESAMPLE_LON_COL: FINAL_CONVERTED_CPM_WIDTH,
+        FINAL_RESAMPLE_LAT_COL: FINAL_CONVERTED_CPM_HEIGHT,
         "time": 365,
     }
     assert results.rio.crs == BRITISH_NATIONAL_GRID_EPSG
     assert len(results.data_vars) == 1
     assert_allclose(results[variable_name][10][5][:10], FINAL_CPM_DEC_10_5_X_0_10_Y)
-    plot_xarray(results.tasmax[0], plot_path)
+    plot_xarray(results.tasmax[0], plot_path, time_stamp=True)
 
 
 @pytest.mark.xfail(reason="test not complete")
@@ -657,19 +666,22 @@ def test_crop_nc(
     assert False
 
 
+@pytest.mark.localcache
 @pytest.mark.slow
 @pytest.mark.mount
 @pytest.mark.parametrize(
     "config", ("direct", "range", "direct_provided", "range_provided")
 )
-def test_ukcp_manager(resample_test_cpm_output_path, config: str) -> None:
+def test_ukcp_manager(
+    resample_test_cpm_output_path, config: str, tasmax_cpm_1980_raw_path: Path
+) -> None:
     """Test running default CPM calendar fix."""
     CPM_FIRST_DATES: np.array = np.array(
         ["19801201", "19801202", "19801203", "19801204", "19801205"]
     )
     output_path: Path = resample_test_cpm_output_path / config
     test_config = CPMResampler(
-        input_path=RAW_CPM_TASMAX_PATH,
+        input_path=tasmax_cpm_1980_raw_path.parent,
         output_path=output_path,
     )
     paths: list[Path]
@@ -693,16 +705,24 @@ def test_ukcp_manager(resample_test_cpm_output_path, config: str) -> None:
     assert (
         CPM_FIRST_DATES == export.time.dt.strftime(CLI_DATE_FORMAT_STR).head().values
     ).all()
+    plot_xarray(
+        export.tasmax[0],
+        path=resample_test_cpm_output_path / f"config-{config}.png",
+        time_stamp=True,
+    )
 
 
 # @pytest.mark.xfail(reason="checking `export.tasmax` values currently yields `nan`")
+@pytest.mark.localcache
 @pytest.mark.slow
 @pytest.mark.mount
 @pytest.mark.parametrize("range", (False, True))
-def test_hads_manager(resample_test_hads_output_path, range: bool) -> None:
+def test_hads_manager(
+    resample_test_hads_output_path, range: bool, tasmax_hads_1980_raw_path: Path
+) -> None:
     """Test running default HADs spatial projection."""
     test_config = HADsResampler(
-        input_path=RAW_HADS_TASMAX_PATH,
+        input_path=tasmax_hads_1980_raw_path.parent,
         output_path=resample_test_hads_output_path / f"range-{range}",
     )
     paths: list[Path]
@@ -717,8 +737,14 @@ def test_hads_manager(resample_test_hads_output_path, range: bool) -> None:
         HADS_FIRST_DATES.astype(object)
         == export.time.dt.strftime(CLI_DATE_FORMAT_STR).head().values
     ).all()
+    plot_xarray(
+        export.tasmax[0],
+        path=resample_test_hads_output_path / f"range-{range}.png",
+        time_stamp=True,
+    )
 
 
+@pytest.mark.localcache
 @pytest.mark.mount
 @pytest.mark.slow
 @pytest.mark.parametrize("data_type", ("hads", "cpm"))
@@ -783,13 +809,16 @@ def test_interpolate_coords(
     assert reprojected_xr_time_series.dims[y_col_name] == 651
 
 
+@pytest.mark.localcache
 @pytest.mark.mount
 def test_hads_resample_and_reproject(
     tasmax_hads_1980_raw: T_Dataset,
+    tasmax_cpm_1980_raw: T_Dataset,
 ) -> None:
     variable_name: str = "tasmax"
     output_path: Path = Path("tests/runs/reample-hads")
     # First index is for month, in this case January 1980
+    cpm_to_match: T_Dataset = cpm_reproject_with_standard_calendar(tasmax_cpm_1980_raw)
     plot_xarray(
         tasmax_hads_1980_raw.tasmax[0],
         path=output_path / "tasmas-1980-JAN-1-raw.png",
@@ -804,12 +833,12 @@ def test_hads_resample_and_reproject(
         variable_name=variable_name,
     )
 
-    plot_xarray(
-        reprojected.tasmax[0], path=output_path / "tasmas-1980.png", time_stamp=True
-    )
-    assert_allclose(
-        reprojected.tasmax[10][430][230:250], FINAL_HADS_JAN_10_430_X_230_250_Y
-    )
+    # plot_xarray(
+    #     reprojected.tasmax[0], path=output_path / "tasmas-1980.png", time_stamp=True
+    # )
+    # assert_allclose(
+    #     reprojected.tasmax[10][430][230:250], FINAL_HADS_JAN_10_430_X_230_250_Y
+    # )
     assert reprojected.rio.crs.to_epsg() == int(BRITISH_NATIONAL_GRID_EPSG[5:])
     export_netcdf_path: Path = results_path(
         "tasmax-1980-converted", path=output_path, extension="nc"
@@ -818,42 +847,51 @@ def test_hads_resample_and_reproject(
     read_from_export: T_Dataset = open_dataset(export_netcdf_path, decode_coords="all")
     assert read_from_export.dims["time"] == 31
     assert (
-        read_from_export.dims[FINAL_RESAMPLE_LON_COL] == 528
+        read_from_export.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_HADS_WIDTH
     )  # replaces projection_x_coordinate
     assert (
-        read_from_export.dims[FINAL_RESAMPLE_LAT_COL] == 651
+        read_from_export.dims[FINAL_RESAMPLE_LAT_COL] == FINAL_CONVERTED_HADS_HEIGHT
     )  # replaces projection_y_coordinate
     assert reprojected.rio.crs == read_from_export.rio.crs == BRITISH_NATIONAL_GRID_EPSG
+    # Check projection coordinates match for CPM and HADs
+    assert all(cpm_to_match.x == read_from_export.x)
+    assert all(cpm_to_match.y == read_from_export.y)
 
 
+@pytest.mark.localcache
 @pytest.mark.mount
 @pytest.mark.parametrize("strict_fail_bool", (True, False))
 @pytest.mark.parametrize("manager", (HADsResamplerManager, CPMResamplerManager))
 def test_variable_in_base_import_path_error(
-    strict_fail_bool: bool, manager: HADsResamplerManager | CPMResamplerManager
+    strict_fail_bool: bool,
+    manager: HADsResamplerManager | CPMResamplerManager,
+    tasmax_hads_1980_raw_path: Path,
 ) -> None:
     """Test checking import path validity for a given variable."""
     with pytest.raises(manager.VarirableInBaseImportPathError):
-        HADsResamplerManager(
-            input_paths=RAW_HADS_TASMAX_PATH,
+        manager(
+            input_paths=tasmax_hads_1980_raw_path,
             stop_index=1,
         )
     if strict_fail_bool:
         with pytest.raises(FileExistsError):
-            HADsResamplerManager(
-                input_paths=RAW_HADS_TASMAX_PATH,
+            manager(
+                input_paths=tasmax_hads_1980_raw_path,
                 stop_index=1,
                 _strict_fail_if_var_in_input_path=False,
             )
 
 
+@pytest.mark.localcache
 @pytest.mark.slow
 @pytest.mark.mount
 @pytest.mark.parametrize("multiprocess", (False, True))
-def test_execute_resample_configs(multiprocess: bool, tmp_path) -> None:
+def test_execute_resample_configs(
+    multiprocess: bool, tmp_path, tasmax_hads_1980_raw_path: Path
+) -> None:
     """Test running default HADs spatial projection."""
     test_config = HADsResamplerManager(
-        input_paths=RAW_HADS_PATH,
+        input_paths=tasmax_hads_1980_raw_path.parent,
         output_paths=tmp_path,
         stop_index=1,
     )
diff --git a/python/tests/utils.py b/python/tests/utils.py
index 4c145d74..86d25664 100644
--- a/python/tests/utils.py
+++ b/python/tests/utils.py
@@ -515,6 +515,8 @@ class LocalCachesManager(UserDict):
     """
 
     caches: Sequence[LocalCache] | None
+    fail_if_no_source: bool = False
+    default_local_cache_path: PathLike | None = None
     _synced: dict[str, SyncedLog] = field(default_factory=dict)
 
     def __repr__(self) -> str:
@@ -526,9 +528,21 @@ def _sync_caches_attr(self) -> None:
         if self.caches:
             self.data = {cache.name: cache for cache in self.caches}
 
+    def check_default_cache_path(self) -> bool:
+        """Check `self.cached_paths` in `self.default_local_cache_path`."""
+        if len(self):
+            return all(
+                self.default_local_cache_path in cache_config.local_cache_path.parents
+                for cache_config in self.values()
+            )
+        else:
+            return False
+
     def __post_init__(self) -> None:
         """Populate the `data` attribute."""
         self._sync_caches_attr()
+        if not self._synced:
+            self.sync_all(fail_if_no_source=self.fail_if_no_source)
 
     @property
     def cached_paths(self) -> tuple[Path, ...]:

From 3dd297d79e0e0237ab4ea0cafb3985c8b7525288 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 16 Jun 2024 15:15:13 +0100
Subject: [PATCH 24/92] feat: add `crop_xarray` to `utils/xarray.py`

---
 python/clim_recal/utils/xarray.py | 57 ++++++++++++++++++++-----------
 python/tests/test_resample.py     | 10 +++---
 2 files changed, 43 insertions(+), 24 deletions(-)

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 7a95f45c..8c4a9c16 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -9,7 +9,6 @@
 import rioxarray  # nopycln: import
 import seaborn
 from cftime._cftime import Datetime360Day
-from geopandas import GeoDataFrame, read_file
 from matplotlib import pyplot as plt
 from numpy import ndarray
 from numpy.typing import NDArray
@@ -87,7 +86,7 @@
 
 
 @dataclass
-class BondingBoxCoords:
+class BoundingBoxCoords:
     name: str
     xmin: float
     xmax: float
@@ -99,15 +98,20 @@ def as_tuple(self) -> tuple[float, float, float, float]:
         """Return in `xmin`, `xmax`, `ymin`, `ymax` order."""
         return self.xmin, self.xmax, self.ymin, self.ymax
 
+    @property
+    def rioxarry_epsg(self) -> str:
+        """Return `self.epsg` in `rioxarray` `str` format."""
+        return f"EPSG:{self.epsg}"
 
-GlasgowCoordsEPSG27700: Final[BondingBoxCoords] = BondingBoxCoords(
+
+GlasgowCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
     "Glasgow", 249799.999600002, 269234.9996, 657761.472000003, 672330.696800007
 )
 
-LondonCoordsEPSG27700: Final[BondingBoxCoords] = BondingBoxCoords(
+LondonCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
     "London", 503568.1996, 561957.4961, 155850.7974, 200933.9025
 )
-ManchesterCoordsEPSG27700: Final[BondingBoxCoords] = BondingBoxCoords(
+ManchesterCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
     "Manchester", 380399.997, 393249.999, 389349.999, 405300.003
 )
 
@@ -577,9 +581,9 @@ def plot_xarray(
     return Path(path)
 
 
-def crop_nc(
+def crop_xarray(
     xr_time_series: T_Dataset | PathLike,
-    crop_geom: PathLike | GeoDataFrame,
+    crop_box: BoundingBoxCoords,
     invert=False,
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG,
     initial_clip_box: bool = False,
@@ -595,7 +599,7 @@ def crop_nc(
     xr_time_series
         `Dataset` or path to `netcdf` file to load and crop.
     crop_geom
-        `GeoDataFrame` or `Path` of file to crop with.
+        Box coordinates to crop to.
     invert
         Whether to invert the `crop_geom` coordinates.
     final_crs
@@ -620,16 +624,33 @@ def crop_nc(
 
     Examples
     --------
-    >>> pytest.skip('Refactor needed, may be removed.')
-    >>> if not is_data_mounted:
-    ...     pytest.skip(mount_doctest_skip_message)
-    >>> cropped = crop_nc(
-    ...     RAW_CPM_TASMAX_PATH /
-    ...     'tasmax_rcp85_land-cpm_uk_2.2km_01_day_19821201-19831130.nc',
-    ...     crop_geom=glasgow_shape_file_path, invert=True)
-    >>> cropped.rio.bounds() == glasgow_epsg_27700_bounds
-    True
+    >>> from numpy.testing import assert_allclose
+    >>> tasmax_cpm_1980_raw = getfixture('tasmax_cpm_1980_raw')
+    >>> if not tasmax_cpm_1980_raw:
+    ...     pytest.skip(mount_or_cache_doctest_skip_message)
+    >>> tasmax_cpm_1980_365_day: T_Dataset = cpm_reproject_with_standard_calendar(
+    ...     cpm_xr_time_series=tasmax_cpm_1980_raw,
+    ...     variable_name="tasmax")
+    >>> cropped = crop_xarray(
+    ...     tasmax_cpm_1980_365_day,
+    ...     crop_box=GlasgowCoordsEPSG27700)
+    >>> assert_allclose(cropped.rio.bounds(),
+    ...                 GlasgowCoordsEPSG27700.as_tuple(),
+    ...                 rtol=.01)
+    >>> tasmax_cpm_1980_365_day.sizes
+    Frozen({'x': 529, 'y': 653, 'time': 365})
+    >>> cropped.sizes
+    Frozen({'x': 186, 'y': 185, 'time': 365})
     """
+    xr_time_series, _ = check_xarray_path_and_var_name(xr_time_series, None)
+    try:
+        assert str(xr_time_series.rio.crs) == crop_box.rioxarry_epsg
+    except AssertionError:
+        raise ValueError(
+            f"'xr_time_series.rio.crs': '{xr_time_series.rio.epsg}' must equal 'crop_box.crs': '{crop_box.crs}'"
+        )
+    return xr_time_series.rio.clip_box(*crop_box.as_tuple())
+
     # xr_time_series = reproject_xarray_by_crs(
     #     xr_time_series,
     #     crs=final_crs,
@@ -638,8 +659,6 @@ def crop_nc(
     #     xr_spatial_ydim=xr_spatial_ydim,
     # )
 
-    if isinstance(crop_geom, PathLike):
-        crop_geom = read_file(crop_geom)
     # assert isinstance(crop_geom, GeoDataFrame)
     # crop_geom.set_crs(crs=final_crs, inplace=True)
     # if initial_clip_box:
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index d65f344f..c1708487 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -50,7 +50,7 @@
     convert_xr_calendar,
     cpm_reproject_with_standard_calendar,
     cpm_xarray_to_standard_calendar,
-    crop_nc,
+    crop_xarray,
     file_name_to_start_end_dates,
     gdal_warp_wrapper,
     hads_resample_and_reproject,
@@ -609,7 +609,7 @@ def test_cpm_tif_to_standard_calendar(
 
 
 @pytest.mark.xfail(reason="not finished writing, will need refactor")
-def test_crop_nc(
+def test_crop_xarray(
     # align_on: ConvertCalendarAlignOptions,
     # ukcp_tasmax_raw_path
     glasgow_shape_file_path,
@@ -650,7 +650,7 @@ def test_crop_nc(
     assert str(xarray_pre_crop.rio.crs) != BRITISH_NATIONAL_GRID_EPSG
     assert xarray_pre_crop.rio.bounds() == uk_rotated_grid_bounds
 
-    cropped: T_Dataset = crop_nc(
+    cropped: T_Dataset = crop_xarray(
         xr_time_series=max_temp_1981_path,
         crop_geom=glasgow_shape_file_path,
         enforce_xarray_spatial_dims=True,
@@ -926,7 +926,7 @@ def test_execute_resample_configs(
 #         8.073382596733156
 #      )
 #
-#     cropped = crop_nc(
+#     cropped = crop_xarray(
 #         'tests/data/tasmax_rcp85_land-cpm_uk_2.2km_01_day_19821201-19831130.nc',
 #         crop_geom=glasgow_shape_file_path, invert=True)
 #     assert cropped.rio.bounds == result_bounds
@@ -936,4 +936,4 @@ def test_execute_resample_configs(
 #         ts_to_crop[path] = open_dataset(path, decode_coords="all")
 #
 #     assert False
-#     test_crop = crop_nc()
+#     test_crop = crop_xarray()

From d2fabc951513273457421b9b3ff1fa09f24140bb Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 16 Jun 2024 15:49:59 +0100
Subject: [PATCH 25/92] refactor: replace `City` variable names with `Region`

---
 python/clim_recal/cli.py                      | 12 +--
 python/clim_recal/config.py                   | 44 +++++----
 python/clim_recal/debiasing/debias_wrapper.py | 90 +++++++++----------
 python/clim_recal/pipeline.py                 | 22 ++---
 python/clim_recal/utils/data.py               |  2 +-
 python/conftest.py                            |  6 +-
 python/tests/test_debiasing.py                | 36 ++++----
 python/tests/utils.py                         | 21 +++--
 8 files changed, 118 insertions(+), 115 deletions(-)

diff --git a/python/clim_recal/cli.py b/python/clim_recal/cli.py
index 3a92bb1d..2089e0bc 100644
--- a/python/clim_recal/cli.py
+++ b/python/clim_recal/cli.py
@@ -7,9 +7,9 @@
 from .config import (
     DEFAULT_CPUS,
     DEFAULT_OUTPUT_PATH,
-    CityOptions,
     ClimRecalRunResultsType,
     MethodOptions,
+    RegionOptions,
     RunOptions,
     VariableOptions,
 )
@@ -32,8 +32,8 @@ def pipeline(
     variable: Annotated[list[VariableOptions], typer.Option("--variable", "-v")] = [
         VariableOptions.default()
     ],
-    city: Annotated[list[CityOptions], typer.Option("--city", "-c")] = [
-        CityOptions.default()
+    region: Annotated[list[RegionOptions], typer.Option("--region", "-c")] = [
+        RegionOptions.default()
     ],
     run: Annotated[list[RunOptions], typer.Option("--run", "-r")] = [
         RunOptions.default()
@@ -42,7 +42,7 @@ def pipeline(
         MethodOptions.default()
     ],
     all_variables: Annotated[bool, typer.Option("--all-variables")] = False,
-    all_cities: Annotated[bool, typer.Option("--all-cities")] = False,
+    all_regions: Annotated[bool, typer.Option("--all-regions")] = False,
     all_runs: Annotated[bool, typer.Option("--all-runs")] = False,
     default_runs: Annotated[bool, typer.Option("--default-runs")] = False,
     all_methods: Annotated[bool, typer.Option("--all-methods")] = False,
@@ -62,7 +62,7 @@ def pipeline(
     results: ClimRecalRunResultsType = main(
         variables=variable,
         runs=run,
-        cities=city,
+        regions=region,
         methods=method,
         output_path=output_path,
         cpus=cpus,
@@ -73,7 +73,7 @@ def pipeline(
         total=total,
         multiprocess=multiprocess,
         all_variables=all_variables,
-        all_cities=all_cities,
+        all_regions=all_regions,
         all_runs=all_runs,
         default_runs=default_runs,
         all_methods=all_methods,
diff --git a/python/clim_recal/config.py b/python/clim_recal/config.py
index cc067840..ee95bffc 100644
--- a/python/clim_recal/config.py
+++ b/python/clim_recal/config.py
@@ -9,8 +9,6 @@
 
 from .debiasing.debias_wrapper import (
     BaseRunConfig,
-    CityOptions,
-    MethodOptions,
     RunConfig,
     RunConfigType,
     climate_data_mount_path,
@@ -22,7 +20,7 @@
     HADsResamplerManager,
 )
 from .utils.core import product_dict, results_path
-from .utils.data import RunOptions, VariableOptions
+from .utils.data import MethodOptions, RegionOptions, RunOptions, VariableOptions
 
 warnings.filterwarnings("ignore", category=TqdmExperimentalWarning)
 
@@ -38,7 +36,7 @@ class ClimRecalRunsConfigType(TypedDict):
 
     """Lists of parameters to generate `RunConfigType` instances."""
 
-    cities: Sequence[CityOptions] | None
+    regions: Sequence[RegionOptions] | None
     variables: Sequence[VariableOptions]
     runs: Sequence[RunOptions]
     methods: Sequence[MethodOptions]
@@ -58,8 +56,8 @@ class ClimRecalConfig(BaseRunConfig):
         Variables to include in the model, eg. `tasmax`, `tasmin`.
     runs
         Which model runs to include, eg. "01", "08", "11".
-    cities
-        Which cities to crop data to. Future plans facilitate skipping to run for entire UK.
+    regions
+        Which regions to crop data to. Future plans facilitate skipping to run for entire UK.
     methods
         Which debiasing methods to apply.
     multiprocess
@@ -84,11 +82,11 @@ class ClimRecalConfig(BaseRunConfig):
     >>> if not is_data_mounted:
     ...     pytest.skip(mount_doctest_skip_message)
     >>> run_config: ClimRecalConfig = ClimRecalConfig(
-    ...     cities=('Manchester', 'Glasgow'),
+    ...     regions=('Manchester', 'Glasgow'),
     ...     output_path=test_runs_output_path,
     ...     cpus=1)
     >>> run_config
-    <ClimRecalConfig(variables_count=1, runs_count=1, cities_count=2,
+    <ClimRecalConfig(variables_count=1, runs_count=1, regions_count=2,
                      methods_count=1, cpm_folders_count=1,
                      hads_folders_count=1, start_index=0,
                      stop_index=None, cpus=1)>
@@ -96,7 +94,7 @@ class ClimRecalConfig(BaseRunConfig):
 
     variables: Sequence[VariableOptions] = (VariableOptions.default(),)
     runs: Sequence[RunOptions] = (RunOptions.default(),)
-    cities: Sequence[CityOptions] | None = (CityOptions.default(),)
+    regions: Sequence[RegionOptions] | None = (RegionOptions.default(),)
     methods: Sequence[MethodOptions] = (MethodOptions.default(),)
     multiprocess: bool = False
     cpus: int | None = DEFAULT_CPUS
@@ -197,7 +195,7 @@ def __repr__(self) -> str:
             f"<{self.__class__.__name__}("
             f"variables_count={len(self.variables)}, "
             f"runs_count={len(self.runs)}, "
-            f"cities_count={len(self.cities) if self.cities else None}, "
+            f"regions_count={len(self.regions) if self.regions else None}, "
             f"methods_count={len(self.methods)}, "
             f"cpm_folders_count={len(self.cpm_manager)}, "
             f"hads_folders_count={len(self.hads_manager)}, "
@@ -213,13 +211,13 @@ def model_vars(self) -> ClimRecalRunsConfigType:
         Examples
         --------
         >>> pprint(clim_runner.model_vars)
-        {'cities': ('Glasgow', 'Manchester'),
-         'methods': ('quantile_delta_mapping',),
+        {'methods': ('quantile_delta_mapping',),
+         'regions': ('Glasgow', 'Manchester'),
          'runs': ('05',),
          'variables': ('tasmax',)}
         """
         return ClimRecalRunsConfigType(
-            cities=self.cities,
+            regions=self.regions,
             variables=self.variables,
             runs=self.runs,
             methods=self.methods,
@@ -232,19 +230,19 @@ def model_configs(self) -> tuple[RunConfigType, ...]:
         Examples
         --------
         >>> pprint(clim_runner.model_configs)
-        ({'city': 'Glasgow',
-          'method': 'quantile_delta_mapping',
+        ({'method': 'quantile_delta_mapping',
+          'region': 'Glasgow',
           'run': '05',
           'variable': 'tasmax'},
-         {'city': 'Manchester',
-          'method': 'quantile_delta_mapping',
+         {'method': 'quantile_delta_mapping',
+          'region': 'Manchester',
           'run': '05',
           'variable': 'tasmax'})
         """
         return tuple(
             RunConfigType(**params)
             for params in product_dict(
-                city=self.cities,
+                region=self.regions,
                 variable=self.variables,
                 run=self.runs,
                 method=self.methods,
@@ -279,9 +277,9 @@ def _first_conf_method(self) -> MethodOptions:
         return self.methods[0]
 
     @property
-    def _first_conf_city(self) -> VariableOptions | None:
+    def _first_conf_region(self) -> VariableOptions | None:
         """Return the first `self.variables` value."""
-        return self._get_first_or_none(attr_name="cities")
+        return self._get_first_or_none(attr_name="regions")
 
     @property
     def _base_run_config(self) -> RunConfig:
@@ -290,7 +288,7 @@ def _base_run_config(self) -> RunConfig:
             command_dir=self.command_dir,
             variable=self._first_conf_variable,
             run=self._first_conf_run,
-            city=self._first_conf_city,
+            region=self._first_conf_region,
             method=self._first_conf_method,
             run_prefix=self.run_prefix,
             preprocess_data_file=self.preprocess_data_file,
@@ -328,14 +326,14 @@ def run_models(self) -> ClimRecalRunResultsType:
                 self._base_run_config.to_cli_preprocess_tuple_strs(
                     variable=model_config["variable"],
                     run=model_config["run"],
-                    city=model_config["city"],
+                    region=model_config["region"],
                 ),
                 capture_output=True,
                 text=True,
             )
             cmethods_run: subprocess.CompletedProcess = subprocess.run(
                 self._base_run_config.to_cli_run_cmethods_tuple_strs(
-                    city=model_config["city"],
+                    region=model_config["region"],
                     run=model_config["run"],
                     variable=model_config["variable"],
                     method=model_config["method"],
diff --git a/python/clim_recal/debiasing/debias_wrapper.py b/python/clim_recal/debiasing/debias_wrapper.py
index 3907adb9..4f455ca4 100644
--- a/python/clim_recal/debiasing/debias_wrapper.py
+++ b/python/clim_recal/debiasing/debias_wrapper.py
@@ -14,7 +14,7 @@
     iter_to_tuple_strs,
     path_iterdir,
 )
-from ..utils.data import CityOptions, MethodOptions, RunOptions, VariableOptions
+from ..utils.data import MethodOptions, RegionOptions, RunOptions, VariableOptions
 
 DATA_PATH_DEFAULT: Final[Path] = climate_data_mount_path()
 
@@ -55,7 +55,7 @@
 class RunConfigType(TypedDict):
     """Parameters needed for a model run."""
 
-    city: CityOptions | None
+    region: RegionOptions | None
     variable: VariableOptions
     run: RunOptions
     method: MethodOptions
@@ -96,7 +96,7 @@ class RunConfig(BaseRunConfig):
 
     variable: VariableOptions | str = VariableOptions.default()
     run: RunOptions | str = RunOptions.default()
-    city: CityOptions | str | None = CityOptions.default()
+    region: RegionOptions | str | None = RegionOptions.default()
     method: MethodOptions | str = MethodOptions.default()
 
     def calib_dates_to_str(
@@ -182,8 +182,8 @@ def _date_range_to_str(
             split_str=split_str,
         )
 
-    def mod_path(self, city: str | None = None) -> Path:
-        """Return city estimates path.
+    def mod_path(self, region: str | None = None) -> Path:
+        """Return region estimates path.
 
         Examples
         --------
@@ -195,11 +195,11 @@ def mod_path(self, city: str | None = None) -> Path:
         >>> config.mod_path('Glasgow')
         PosixPath('/.../ClimateData/Cropped/three.cities/CPM/Glasgow')
         """
-        city = city if city else self.city
-        return self.data_path / self.mod_folder / city
+        region = region if region else self.region
+        return self.data_path / self.mod_folder / region
 
-    def obs_path(self, city: str | None = None) -> Path:
-        """Return city observations path.
+    def obs_path(self, region: str | None = None) -> Path:
+        """Return region observations path.
 
         Examples
         --------
@@ -211,12 +211,12 @@ def obs_path(self, city: str | None = None) -> Path:
         >>> config.obs_path('Glasgow')
         PosixPath('/.../ClimateData/Cropped/three.cities/Hads.updated360/Glasgow')
         """
-        city = city if city else self.city
-        return self.data_path / self.obs_folder / city
+        region = region if region else self.region
+        return self.data_path / self.obs_folder / region
 
     def preprocess_out_path(
         self,
-        city: str | None = None,
+        region: str | None = None,
         run: str | None = None,
         variable: str | None = None,
     ) -> Path:
@@ -229,19 +229,19 @@ def preprocess_out_path(
         >>> config: RunConfig = RunConfig()
         >>> config.preprocess_out_path()
         PosixPath('.../ClimateData/Cropped/three.cities/Preprocessed/Manchester/05/tasmax')
-        >>> config.preprocess_out_path(city='Glasgow', run='07')
+        >>> config.preprocess_out_path(region='Glasgow', run='07')
         PosixPath('.../ClimateData/Cropped/three.cities/Preprocessed/Glasgow/07/tasmax')
         """
-        city = city if city else self.city
+        region = region if region else self.region
         run = run if run else self.run
         variable = variable if variable else self.variable
         return (
-            self.data_path / self.preprocess_out_folder / city / run / variable
+            self.data_path / self.preprocess_out_folder / region / run / variable
         ).resolve()
 
     def cmethods_out_path(
         self,
-        city: str | None = None,
+        region: str | None = None,
         run: str | None = None,
     ) -> Path:
         """Return path to save cmethods results.
@@ -251,12 +251,12 @@ def cmethods_out_path(
         >>> config: RunConfig = RunConfig()
         >>> config.cmethods_out_path()
         PosixPath('/.../ClimateData/Debiased/three.cities.cropped/Manchester/05')
-        >>> config.cmethods_out_path(city='Glasgow', run='07')
+        >>> config.cmethods_out_path(region='Glasgow', run='07')
         PosixPath('/.../ClimateData/Debiased/three.cities.cropped/Glasgow/07')
         """
-        city = city if city else self.city
+        region = region if region else self.region
         run = run if run else self.run
-        return (self.data_path / self.cmethods_out_folder / city / run).resolve()
+        return (self.data_path / self.cmethods_out_folder / region / run).resolve()
 
     @property
     def run_prefix_tuple(self) -> tuple[str, ...]:
@@ -274,7 +274,7 @@ def to_cli_preprocess_tuple(
         self,
         variable: str | None = None,
         run: str | None = None,
-        city: str | None = None,
+        region: str | None = None,
         calib_start: Optional[DateType] = None,
         calib_end: Optional[DateType] = None,
         valid_start: Optional[DateType] = None,
@@ -291,14 +291,14 @@ def to_cli_preprocess_tuple(
         >>> command_str_tuple: tuple[str, ...] = config.to_cli_preprocess_tuple()
         >>> assert command_str_tuple == CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT
         """
-        city = city if city else self.city
+        region = region if region else self.region
         variable = variable if variable else self.variable
         run = run if run else self.run
 
-        mod_path: Path = self.mod_path(city=city)
-        obs_path: Path = self.obs_path(city=city)
+        mod_path: Path = self.mod_path(region=region)
+        obs_path: Path = self.obs_path(region=region)
         preprocess_out_path: Path = self.preprocess_out_path(
-            city=city, run=run, variable=variable
+            region=region, run=run, variable=variable
         )
         calib_dates_str: str = self.calib_dates_to_str(
             start_date=calib_start, end_date=calib_end
@@ -330,7 +330,7 @@ def to_cli_preprocess_tuple_strs(
         self,
         variable: str | None = None,
         run: str | None = None,
-        city: str | None = None,
+        region: str | None = None,
         calib_start: Optional[DateType] = None,
         calib_end: Optional[DateType] = None,
         valid_start: Optional[DateType] = None,
@@ -348,7 +348,7 @@ def to_cli_preprocess_tuple_strs(
             self.to_cli_preprocess_tuple(
                 variable=variable,
                 run=run,
-                city=city,
+                region=region,
                 calib_start=calib_start,
                 calib_end=calib_end,
                 valid_start=valid_start,
@@ -360,7 +360,7 @@ def to_cli_preprocess_str(
         self,
         variable: str | None = None,
         run: str | None = None,
-        city: str | None = None,
+        region: str | None = None,
         calib_start: Optional[DateType] = None,
         calib_end: Optional[DateType] = None,
         valid_start: Optional[DateType] = None,
@@ -380,7 +380,7 @@ def to_cli_preprocess_str(
             self.to_cli_preprocess_tuple_strs(
                 variable=variable,
                 run=run,
-                city=city,
+                region=region,
                 calib_start=calib_start,
                 calib_end=calib_end,
                 valid_start=valid_start,
@@ -388,7 +388,7 @@ def to_cli_preprocess_str(
             )
         )
 
-    def yield_mod_folder(self, city: str | None = None) -> Iterator[Path]:
+    def yield_mod_folder(self, region: str | None = None) -> Iterator[Path]:
         """`Iterable` of all `Path`s in `self.mod_folder`.
 
         Examples
@@ -399,10 +399,10 @@ def yield_mod_folder(self, city: str | None = None) -> Iterator[Path]:
         >>> len(tuple(config.yield_mod_folder())) == MOD_FOLDER_FILES_COUNT_CORRECT
         True
         """
-        city = city if city else self.city
-        return path_iterdir(self.obs_path(city=city))
+        region = region if region else self.region
+        return path_iterdir(self.obs_path(region=region))
 
-    def yield_obs_folder(self, city: str | None = None) -> Iterator[Path]:
+    def yield_obs_folder(self, region: str | None = None) -> Iterator[Path]:
         """`Iterable` of all `Path`s in `self.obs_folder`.
 
         Examples
@@ -413,12 +413,12 @@ def yield_obs_folder(self, city: str | None = None) -> Iterator[Path]:
         >>> len(tuple(config.yield_obs_folder())) == OBS_FOLDER_FILES_COUNT_CORRECT
         True
         """
-        city = city if city else self.city
-        return path_iterdir(self.obs_path(city=city))
+        region = region if region else self.region
+        return path_iterdir(self.obs_path(region=region))
 
     def yield_preprocess_out_folder(
         self,
-        city: str | None = None,
+        region: str | None = None,
         run: str | None = None,
         variable: str | None = None,
     ) -> Iterator[Path]:
@@ -433,11 +433,11 @@ def yield_preprocess_out_folder(
         ...  PREPROCESS_OUT_FOLDER_FILES_COUNT_CORRECT)
         True
         """
-        city = city if city else self.city
+        region = region if region else self.region
         run = run if run else self.run
         variable = variable if variable else self.variable
         return path_iterdir(
-            self.preprocess_out_path(city=city, run=run, variable=variable)
+            self.preprocess_out_path(region=region, run=run, variable=variable)
         )
 
     @property
@@ -447,7 +447,7 @@ def command_path(self) -> Path:
 
     def to_cli_run_cmethods_tuple(
         self,
-        city: str | None = None,
+        region: str | None = None,
         run: str | None = None,
         variable: str | None = None,
         method: str | None = None,
@@ -466,7 +466,7 @@ def to_cli_run_cmethods_tuple(
         >>> command_str_tuple: tuple[str, ...] = config.to_cli_run_cmethods_tuple()
         >>> assert command_str_tuple == CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT
         """
-        city = city if city else self.city
+        region = region if region else self.region
         variable = variable if variable else self.variable
         run = run if run else self.run
         method = method if method else self.method
@@ -475,13 +475,13 @@ def to_cli_run_cmethods_tuple(
         input_data_path = (
             input_data_path
             if input_data_path
-            else self.preprocess_out_path(city=city, run=run, variable=variable)
+            else self.preprocess_out_path(region=region, run=run, variable=variable)
         )
 
         cmethods_out_path = (
             cmethods_out_path
             if cmethods_out_path
-            else self.cmethods_out_path(city=city, run=run)
+            else self.cmethods_out_path(region=region, run=run)
         )
 
         return (
@@ -501,7 +501,7 @@ def to_cli_run_cmethods_tuple(
 
     def to_cli_run_cmethods_tuple_strs(
         self,
-        city: str | None = None,
+        region: str | None = None,
         run: str | None = None,
         variable: str | None = None,
         method: str | None = None,
@@ -519,7 +519,7 @@ def to_cli_run_cmethods_tuple_strs(
         """
         return iter_to_tuple_strs(
             self.to_cli_run_cmethods_tuple(
-                city=city,
+                region=region,
                 run=run,
                 variable=variable,
                 method=method,
@@ -531,7 +531,7 @@ def to_cli_run_cmethods_tuple_strs(
 
     def to_cli_run_cmethods_str(
         self,
-        city: str | None = None,
+        region: str | None = None,
         run: str | None = None,
         variable: str | None = None,
         method: str | None = None,
@@ -551,7 +551,7 @@ def to_cli_run_cmethods_str(
         """
         return " ".join(
             self.to_cli_run_cmethods_tuple_strs(
-                city=city,
+                region=region,
                 run=run,
                 variable=variable,
                 method=method,
diff --git a/python/clim_recal/pipeline.py b/python/clim_recal/pipeline.py
index 79c4c7ba..034a8507 100644
--- a/python/clim_recal/pipeline.py
+++ b/python/clim_recal/pipeline.py
@@ -61,7 +61,7 @@
 ```console
 $ clim-recal --all-variables --default-runs --output-path /where/results/should/be/written
 clim-recal pipeline configurations:
-<ClimRecalConfig(variables_count=3, runs_count=4, cities_count=1, methods_count=1,
+<ClimRecalConfig(variables_count=3, runs_count=4, regions_count=1, methods_count=1,
                  cpm_folders_count=12, hads_folders_count=3, start_index=0,
                  stop_index=None, cpus=2)>
 <CPMResamplerManager(variables_count=3, runs_count=4, input_paths_count=12)>
@@ -92,7 +92,7 @@
 ```console
 $ clim-recal --all-variables --default-runs --output-path /where/results/should/be/written --execute
 clim-recal pipeline configurations:
-<ClimRecalConfig(variables_count=3, runs_count=4, cities_count=1, methods_count=1,
+<ClimRecalConfig(variables_count=3, runs_count=4, regions_count=1, methods_count=1,
                  cpm_folders_count=12, hads_folders_count=3, start_index=0,
                  stop_index=None, cpus=2)>
 <CPMResamplerManager(variables_count=3, runs_count=4, input_paths_count=12)>
@@ -139,10 +139,10 @@
 
 from .config import (
     DEFAULT_OUTPUT_PATH,
-    CityOptions,
     ClimRecalConfig,
     ClimRecalRunResultsType,
     MethodOptions,
+    RegionOptions,
     RunOptions,
     VariableOptions,
 )
@@ -156,11 +156,11 @@ def main(
     execute: bool = False,
     output_path: PathLike = DEFAULT_OUTPUT_PATH,
     variables: Sequence[VariableOptions | str] = (VariableOptions.default(),),
-    cities: Sequence[CityOptions | str] | None = (CityOptions.default(),),
+    regions: Sequence[RegionOptions | str] | None = (RegionOptions.default(),),
     runs: Sequence[RunOptions | str] = (RunOptions.default(),),
     methods: Sequence[MethodOptions | str] = (MethodOptions.default(),),
     all_variables: bool = False,
-    all_cities: bool = False,
+    all_regions: bool = False,
     default_runs: bool = False,
     all_runs: bool = False,
     all_methods: bool = False,
@@ -182,8 +182,8 @@ def main(
         Variables to include in the model, eg. `tasmax`, `tasmin`.
     runs
         Which model runs to include, eg. "01", "08", "11".
-    cities
-        Which cities to crop data to. Future plans facilitate
+    regions
+        Which regions to crop data to. Future plans facilitate
         skipping to run for entire UK.
     methods
         Which debiasing methods to apply.
@@ -220,7 +220,7 @@ def main(
     ... )
     clim-recal pipeline configurations:
     <ClimRecalConfig(variables_count=2, runs_count=1,
-                     cities_count=1, methods_count=1,
+                     regions_count=1, methods_count=1,
                      cpm_folders_count=2, hads_folders_count=2,
                      start_index=0, stop_index=None,
                      cpus=...)>
@@ -239,8 +239,8 @@ def main(
             f"'stop_index': {stop_index} set from 'total': {total} and 'start_index': {start_index}."
         )
     variables = VariableOptions.all() if all_variables else tuple(variables)
-    assert cities  # In future there will be support for skipping city cropping
-    cities = CityOptions.all() if all_cities else tuple(cities)
+    assert regions  # In future there will be support for skipping city cropping
+    regions = RegionOptions.all() if all_regions else tuple(regions)
     methods = MethodOptions.all() if all_methods else tuple(methods)
     if all_runs:
         runs = RunOptions.all()
@@ -252,7 +252,7 @@ def main(
     config: ClimRecalConfig = ClimRecalConfig(
         output_path=output_path,
         variables=variables,
-        cities=cities,
+        regions=regions,
         methods=methods,
         runs=runs,
         cpus=cpus,
diff --git a/python/clim_recal/utils/data.py b/python/clim_recal/utils/data.py
index dc5a9ea5..bbabfffc 100644
--- a/python/clim_recal/utils/data.py
+++ b/python/clim_recal/utils/data.py
@@ -132,7 +132,7 @@ def all(cls) -> tuple[str, ...]:
         return tuple(map(lambda c: c.value, cls))
 
 
-class CityOptions(StrEnumReprName):
+class RegionOptions(StrEnumReprName):
     """Supported options for variables."""
 
     GLASGOW = "Glasgow"
diff --git a/python/conftest.py b/python/conftest.py
index 30b1e7b9..22196a7b 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -11,7 +11,7 @@
 from xarray.core.types import T_Dataset
 
 from clim_recal.config import ClimRecalConfig
-from clim_recal.debiasing.debias_wrapper import CityOptions
+from clim_recal.debiasing.debias_wrapper import RegionOptions
 from clim_recal.resample import CPM_OUTPUT_LOCAL_PATH, HADS_OUTPUT_LOCAL_PATH
 from clim_recal.utils.core import (
     ISO_DATE_FORMAT_STR,
@@ -348,12 +348,12 @@ def clim_runner(
     try:
         return ClimRecalConfig(
             preprocess_out_folder=tmp_path,
-            cities=(CityOptions.GLASGOW, CityOptions.MANCHESTER),
+            regions=(RegionOptions.GLASGOW, RegionOptions.MANCHESTER),
         )
     except FileExistsError:
         return ClimRecalConfig(
             preprocess_out_folder=tmp_path,
-            cities=(CityOptions.GLASGOW, CityOptions.MANCHESTER),
+            regions=(RegionOptions.GLASGOW, RegionOptions.MANCHESTER),
             hads_folder=local_cache_fixtures.default_local_cache_path,
             cpm_folder=local_cache_fixtures.default_local_cache_path,
             cpm_kwargs=dict(_allow_check_fail=True),
diff --git a/python/tests/test_debiasing.py b/python/tests/test_debiasing.py
index 13f0ed3d..6ca75642 100644
--- a/python/tests/test_debiasing.py
+++ b/python/tests/test_debiasing.py
@@ -10,8 +10,8 @@
 
 from clim_recal.debiasing.debias_wrapper import (
     PREPROCESS_FILE_NAME,
-    CityOptions,
     MethodOptions,
+    RegionOptions,
     RunConfig,
     RunOptions,
     VariableOptions,
@@ -36,29 +36,29 @@ def test_command_line_default(cli_preprocess_default_command_str_correct) -> Non
 @pytest.mark.server
 @pytest.mark.slow
 @pytest.mark.parametrize(
-    "city, variable, run, method",
+    "region, variable, run, method",
     (
         (
-            CityOptions.default(),  # 'Manchester'
+            RegionOptions.default(),  # 'Manchester'
             VariableOptions.default(),  # 'tasmax`
             RunOptions.default(),  # '05'
             MethodOptions.default(),  # 'quantile_delta_mapping'
         ),
         (
-            CityOptions.GLASGOW,
+            RegionOptions.GLASGOW,
             VariableOptions.default(),
             RunOptions.default(),
             MethodOptions.default(),
         ),
         pytest.param(
-            CityOptions.LONDON,
+            RegionOptions.LONDON,
             VariableOptions.default(),
             RunOptions.default(),
             MethodOptions.default(),
             marks=pytest.mark.slow,
         ),
         pytest.param(
-            CityOptions.LONDON,
+            RegionOptions.LONDON,
             VariableOptions.RAINFALL,
             RunOptions.SIX,
             MethodOptions.DELTA_METHOD,
@@ -68,7 +68,7 @@ def test_command_line_default(cli_preprocess_default_command_str_correct) -> Non
 )
 def test_run(
     run_config,
-    city,
+    region,
     variable,
     run,
     method,
@@ -82,33 +82,35 @@ def test_run(
     assert PREPROCESS_FILE_NAME in tuple(Path().iterdir())
     # run_config.method = method
     preprocess_run: subprocess.CompletedProcess = subprocess.run(
-        run_config.to_cli_preprocess_tuple_strs(city=city, variable=variable, run=run),
+        run_config.to_cli_preprocess_tuple_strs(
+            region=region, variable=variable, run=run
+        ),
         capture_output=True,
         text=True,
     )
     assert preprocess_run.returncode == 0
     assert (
-        len(tuple(run_config.yield_mod_folder(city=city)))
+        len(tuple(run_config.yield_mod_folder(region=region)))
         == mod_folder_files_count_correct
     )
     assert (
-        len(tuple(run_config.yield_obs_folder(city=city)))
+        len(tuple(run_config.yield_obs_folder(region=region)))
         == obs_folder_files_count_correct
     )
 
     if method == MethodOptions.default():
         assert (
-            len(tuple(run_config.yield_preprocess_out_folder(city=city)))
+            len(tuple(run_config.yield_preprocess_out_folder(region=region)))
             == preprocess_out_folder_files_count_correct
         )
     for log_txt in (
         "Saved observed (HADs) data for validation, period ('2010-01-01', '2010-12-30')",
-        f"{city}/{run}/{variable}/modv_var-{variable}_run-{run}_20100101_20101230.nc",
+        f"{region}/{run}/{variable}/modv_var-{variable}_run-{run}_20100101_20101230.nc",
     ):
         assert log_txt in preprocess_run.stdout
     cmethods_run: subprocess.CompletedProcess = subprocess.run(
         run_config.to_cli_run_cmethods_tuple_strs(
-            city=city, run=run, variable=variable, method=method
+            region=region, run=run, variable=variable, method=method
         ),
         capture_output=True,
         text=True,
@@ -118,21 +120,21 @@ def test_run(
         "Loading modelled calibration data (CPM)",
         # Todo: uncomment in future to check new paths
         # (
-        #     f"Debiased/three.cities.cropped/{city}/{run}/{variable}/"
+        #     f"Debiased/three.cities.cropped/{region}/{run}/{variable}/"
         #     f"debiased_{method}_result_var"
         #     f"-{variable}_quantiles-1000_kind-+_group-None_20100101_20101229.nc"
         # ),
         (
-            f"Debiased/three.cities.cropped/{city}/{run}/{variable}/"
+            f"Debiased/three.cities.cropped/{region}/{run}/{variable}/"
             f"debiased_{method}_result_var"
         ),
         "Saving to",
         # Todo: uncomment in future to check new paths
         # (
-        #     f"Saving to {DATA_PATH_DEFAULT}/{city}/{run}/{variable}/"
+        #     f"Saving to {DATA_PATH_DEFAULT}/{region}/{run}/{variable}/"
         #     f"debiased_{method}_result_var-{variable}_kind-+None_20100101_20101229.nc"
         # ),
-        (f"{city}/{run}/{variable}/debiased_{method}_result_var-"),
+        (f"{region}/{run}/{variable}/debiased_{method}_result_var-"),
     ):
         assert log_txt in cmethods_run.stdout
 
diff --git a/python/tests/utils.py b/python/tests/utils.py
index 86d25664..68f5defe 100644
--- a/python/tests/utils.py
+++ b/python/tests/utils.py
@@ -24,10 +24,6 @@
     PREPROCESS_OUT_FOLDER_DEFAULT,
     PROCESSORS_DEFAULT,
     VALID_DATES_STR_DEFAULT,
-    CityOptions,
-    MethodOptions,
-    RunOptions,
-    VariableOptions,
 )
 from clim_recal.resample import RAW_CPM_TASMAX_PATH, RAW_HADS_TASMAX_PATH
 from clim_recal.utils.core import (
@@ -39,7 +35,14 @@
     date_range_generator,
     iter_to_tuple_strs,
 )
-from clim_recal.utils.data import HadUKGrid, UKCPLocalProjections
+from clim_recal.utils.data import (
+    HadUKGrid,
+    MethodOptions,
+    RegionOptions,
+    RunOptions,
+    UKCPLocalProjections,
+    VariableOptions,
+)
 from clim_recal.utils.xarray import THREE_CITY_CENTRE_COORDS
 
 logger = getLogger(__name__)
@@ -92,9 +95,9 @@
     "python",
     PREPROCESS_FILE_NAME,
     "--mod",
-    DATA_PATH_DEFAULT / MOD_FOLDER_DEFAULT / CityOptions.default(),
+    DATA_PATH_DEFAULT / MOD_FOLDER_DEFAULT / RegionOptions.default(),
     "--obs",
-    DATA_PATH_DEFAULT / OBS_FOLDER_DEFAULT / CityOptions.default(),
+    DATA_PATH_DEFAULT / OBS_FOLDER_DEFAULT / RegionOptions.default(),
     "-v",
     VariableOptions.default(),
     "-r",
@@ -103,7 +106,7 @@
     (
         DATA_PATH_DEFAULT
         / PREPROCESS_OUT_FOLDER_DEFAULT
-        / CityOptions.default()
+        / RegionOptions.default()
         / RunOptions.default()
         / VariableOptions.default()
     ),
@@ -130,7 +133,7 @@
     (
         DATA_PATH_DEFAULT
         / CMETHODS_OUT_FOLDER_DEFAULT
-        / CityOptions.default()
+        / RegionOptions.default()
         / RunOptions.default()
     ).resolve(),
     "--method",

From 0403aab0b424fb82232beb8423dd0a8140f85cd9 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Mon, 17 Jun 2024 11:28:53 +0100
Subject: [PATCH 26/92] feat: add `crop_projection` method to `ResampleBase`

---
 python/clim_recal/pipeline.py     |  29 +++++-
 python/clim_recal/resample.py     | 120 ++++++++++++++++++++--
 python/clim_recal/utils/data.py   | 117 +++++++++++++++++++++
 python/clim_recal/utils/xarray.py | 158 ++++++----------------------
 python/conftest.py                |   3 +-
 python/tests/test_resample.py     | 164 ++++++++++++++++++++----------
 python/tests/utils.py             |   2 +-
 7 files changed, 401 insertions(+), 192 deletions(-)

diff --git a/python/clim_recal/pipeline.py b/python/clim_recal/pipeline.py
index 034a8507..75f9ae8c 100644
--- a/python/clim_recal/pipeline.py
+++ b/python/clim_recal/pipeline.py
@@ -166,6 +166,8 @@ def main(
     all_methods: bool = False,
     skip_cpm_standard_calendar_projection: bool = False,
     skip_hads_spatial_2k_projection: bool = False,
+    crop_cpm: bool = False,
+    crop_hads: bool = False,
     cpus: int | None = None,
     multiprocess: bool = False,
     start_index: int = 0,
@@ -239,7 +241,7 @@ def main(
             f"'stop_index': {stop_index} set from 'total': {total} and 'start_index': {start_index}."
         )
     variables = VariableOptions.all() if all_variables else tuple(variables)
-    assert regions  # In future there will be support for skipping city cropping
+    assert regions  # In future there will be support for skipping region cropping
     regions = RegionOptions.all() if all_regions else tuple(regions)
     methods = MethodOptions.all() if all_methods else tuple(methods)
     if all_runs:
@@ -286,6 +288,31 @@ def main(
                 multiprocess=multiprocess, cpus=cpus
             )
             print(hads_resamplers[:print_range_length])
+        if skip_cropping:
+            print("Skipping cropping.")
+        else:
+            if skip_cpm_standard_calendar_projection and not crop_cpm:
+                print("Skipping cropping CPM Standard Calendar projections.")
+            else:
+                print(f"Cropping CPMs to regions {config.regions}: ...")
+                cropped_cpm_resamplers: tuple[
+                    CPMResampler, ...
+                ] = config.cpm_manager.execute_crop_resamples(
+                    multiprocess=multiprocess, cpus=cpus
+                )
+                print(cropped_cpm_resamplers[:print_range_length])
+            if skip_cpm_standard_calendar_projection and not crop_hads:
+                print("Skipping cropping HADS 2.2km projections.")
+            else:
+                print(
+                    f"Cropping HADS 2.2km projections to regions {config.regions}: ..."
+                )
+                cropped_hads_resamplers: tuple[
+                    CPMResampler, ...
+                ] = config.hands_manager.execute_crop_resamples(
+                    multiprocess=multiprocess, cpus=cpus
+                )
+                print(cropped_hads_resamplers[:print_range_length])
     else:
         print("No steps run. Add '--execute' to run steps.")
 
diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index 01181315..ac603e49 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -18,7 +18,6 @@
 import dill as pickle
 import numpy as np
 import rioxarray  # nopycln: import
-from geopandas import GeoDataFrame
 from numpy.typing import NDArray
 from osgeo.gdal import GRA_NearestNeighbour
 from rich import print
@@ -29,7 +28,7 @@
 from clim_recal.debiasing.debias_wrapper import VariableOptions
 
 from .utils.core import climate_data_mount_path, multiprocess_execute
-from .utils.data import RunOptions, VariableOptions
+from .utils.data import RegionOptions, RunOptions, VariableOptions
 from .utils.gdal_formats import TIF_EXTENSION_STR
 from .utils.xarray import (
     BRITISH_NATIONAL_GRID_EPSG,
@@ -37,9 +36,11 @@
     HADS_RAW_X_COLUMN_NAME,
     HADS_RAW_Y_COLUMN_NAME,
     NETCDF_EXTENSION_STR,
+    BoundingBoxCoords,
     ReprojectFuncType,
     apply_geo_func,
     cpm_reproject_with_standard_calendar,
+    crop_xarray,
     hads_resample_and_reproject,
 )
 
@@ -87,6 +88,8 @@
 
 CPM_OUTPUT_LOCAL_PATH: Final[Path] = Path("cpm")
 HADS_OUTPUT_LOCAL_PATH: Final[Path] = Path("hads")
+CPM_CROP_OUTPUT_LOCAL_PATH: Final[Path] = Path("cpm-crop")
+HADS_CROP_OUTPUT_LOCAL_PATH: Final[Path] = Path("hads-crop")
 
 
 NETCDF_OR_TIF = Literal[TIF_EXTENSION_STR, NETCDF_EXTENSION_STR]
@@ -109,11 +112,12 @@ class ResamblerBase:
 
     input_path: PathLike | None = RAW_HADS_TASMAX_PATH
     output_path: PathLike = RESAMPLING_OUTPUT_PATH / HADS_OUTPUT_LOCAL_PATH
-    variable_name: VariableOptions = VariableOptions.default()
+    variable_name: VariableOptions | str = VariableOptions.default()
     grid: PathLike | T_Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
     input_files: Iterable[PathLike] | None = None
     cpus: int | None = None
-    crop: PathLike | GeoDataFrame | None = None
+    crop_regions: tuple[RegionOptions | str, ...] | None = RegionOptions.all()
+    crop_path: PathLike = RESAMPLING_OUTPUT_PATH / HADS_CROP_OUTPUT_LOCAL_PATH
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG
     grid_x_column_name: str = HADS_XDIM
     grid_y_column_name: str = HADS_YDIM
@@ -136,6 +140,8 @@ def __post_init__(self) -> None:
         self.set_grid_x_y()
         self.set_input_files()
         Path(self.output_path).mkdir(parents=True, exist_ok=True)
+        if self.crop_regions:
+            Path(self.crop_path).mkdir(parents=True, exist_ok=True)
         self.total_cpus: int | None = cpu_count()
         if not self.cpus:
             self.cpus = 1 if not self.total_cpus else self.total_cpus
@@ -301,6 +307,70 @@ def execute(self, skip_spatial: bool = False, **kwargs) -> list[Path] | None:
         """Run all steps for processing"""
         return self.range_to_reprojection(**kwargs) if not skip_spatial else None
 
+    def exported_range_to_crop(
+        self,
+        start: int | None = None,
+        stop: int | None = None,
+        step: int = 1,
+        override_export_path: Path | None = None,
+        source_to_index: Sequence | None = None,
+    ) -> list[Path]:
+        start = start or self.start_index
+        stop = stop or self.stop_index
+        return self._range_call(
+            method=crop_xarray,
+            start=start,
+            stop=stop,
+            step=step,
+            override_export_path=override_export_path,
+            source_to_index=source_to_index,
+        )
+
+    def crop_projection(
+        self,
+        region: str,
+        index: int = 0,
+        everride_export_path: Path | None = None,
+        return_results: bool = False,
+        source_to_index: Sequence | None = None,
+    ) -> Path | T_Dataset:
+        """Crop a projection to `region` geometry."""
+        # source_path: Path = self._get_source_path(
+        #     index=index, source_to_index=source_to_index
+        # )
+
+        assert False
+        # source_path: Path =
+        path: PathLike = self._output_path(
+            self.resolution_relative_path, override_export_path
+        )
+        return apply_geo_func(
+            source_path=source_path,
+            # func=interpolate_coords,
+            func=self._resample_func,
+            export_folder=path,
+            # Leaving in case we return to using warp
+            # export_path_as_output_path_kwarg=True,
+            # to_netcdf=False,
+            to_netcdf=True,
+            variable_name=self.variable_name,
+            x_dim_name=self.input_file_x_column_name,
+            y_dim_name=self.input_file_y_column_name,
+            # x_grid=self.x,
+            # y_grid=self.y,
+            # source_x_coord_column_name=self.input_file_x_column_name,
+            # source_y_coord_column_name=self.input_file_y_column_name,
+            # use_reference_grid=self._use_reference_grid,
+            new_path_name_func=reproject_2_2km_filename,
+            return_results=return_results,
+        )
+
+    # def execute_crop(self, **kwargs) -> list[Path] | None:
+    #     """Run crop for related reprojections."""
+    #     if not self.output_path or not Path(self.output_path).exists():
+    #         raise ValueError(f"Output path {self.output_path} required to crop.")
+    #     else:
+
 
 @dataclass(kw_only=True, repr=False)
 class HADsResampler(ResamblerBase):
@@ -361,7 +431,7 @@ class HADsResampler(ResamblerBase):
     grid: PathLike | T_Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
     input_files: Iterable[PathLike] | None = None
     cpus: int | None = None
-    crop: PathLike | GeoDataFrame | None = None
+    crop_coords: tuple[BoundingBoxCoords] | None = None
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG
     grid_x_column_name: str = HADS_XDIM
     grid_y_column_name: str = HADS_YDIM
@@ -407,6 +477,40 @@ def to_reprojection(
             return_results=return_results,
         )
 
+    # def to_crop(
+    #     self,
+    #     index: int = 0,
+    #     override_export_path: Path | None = None,
+    #     return_results: bool = False,
+    #     source_to_index: Sequence | None = None,
+    # ) -> Path | T_Dataset:
+    #     source_path: Path = self._output_path(
+    #         index=index, source_to_index=source_to_index
+    #     )
+    #     path: PathLike = self._output_path(
+    #         self.resolution_relative_path, override_export_path
+    #     )
+    #     return apply_geo_func(
+    #         source_path=source_path,
+    #         # func=interpolate_coords,
+    #         func=self._resample_func,
+    #         export_folder=path,
+    #         # Leaving in case we return to using warp
+    #         # export_path_as_output_path_kwarg=True,
+    #         # to_netcdf=False,
+    #         to_netcdf=True,
+    #         variable_name=self.variable_name,
+    #         x_dim_name=self.input_file_x_column_name,
+    #         y_dim_name=self.input_file_y_column_name,
+    #         # x_grid=self.x,
+    #         # y_grid=self.y,
+    #         # source_x_coord_column_name=self.input_file_x_column_name,
+    #         # source_y_coord_column_name=self.input_file_y_column_name,
+    #         # use_reference_grid=self._use_reference_grid,
+    #         new_path_name_func=reproject_2_2km_filename,
+    #         return_results=return_results,
+    #     )
+
 
 @dataclass(kw_only=True, repr=False)
 class CPMResampler(ResamblerBase):
@@ -462,10 +566,10 @@ class CPMResampler(ResamblerBase):
 
     input_path: PathLike | None = RAW_CPM_TASMAX_PATH
     output_path: PathLike = RESAMPLING_OUTPUT_PATH / CPM_OUTPUT_LOCAL_PATH
-    standard_calendar_relative_path: Path = CPM_STANDARD_CALENDAR_PATH
+    # standard_calendar_relative_path: Path = CPM_STANDARD_CALENDAR_PATH
     input_file_x_column_name: str = CPRUK_XDIM
     input_file_y_column_name: str = CPRUK_YDIM
-    resolution_relative_path: Path = CPM_SPATIAL_COORDS_PATH
+    # resolution_relative_path: Path = CPM_SPATIAL_COORDS_PATH
     _resample_func: ReprojectFuncType = cpm_reproject_with_standard_calendar
 
     @property
@@ -492,8 +596,6 @@ def to_reprojection(
             export_folder=path,
             to_netcdf=True,
             variable_name=self.cpm_variable_name,
-            x_dim_name=self.input_file_x_column_name,
-            y_dim_name=self.input_file_y_column_name,
             # x_grid=self.x,
             # y_grid=self.y,
             # x_coord_column_name=self.input_file_x_column_name,
diff --git a/python/clim_recal/utils/data.py b/python/clim_recal/utils/data.py
index bbabfffc..9965f4cb 100644
--- a/python/clim_recal/utils/data.py
+++ b/python/clim_recal/utils/data.py
@@ -3,13 +3,124 @@
 from os import PathLike
 from datetime import date
 from enum import auto
+from pathlib import Path
+
+from xarray.backends.api import ENGINES
 
 from .core import StrEnumReprName
 
+
+BRITISH_NATION_GRID_COORDS_NUMBER: Final[int] = 27700
+BRITISH_NATIONAL_GRID_EPSG: Final[str] = f"EPSG:{BRITISH_NATION_GRID_COORDS_NUMBER}"
+
 AuthorshipType = Union[
     str | tuple[str, ...], dict[str, str] |
     dict[str, dict[str, str]] | dict[str, Collection[str]]
 ]
+DropDayType = set[tuple[int, int]]
+ChangeDayType = set[tuple[int, int]]
+
+BoundsTupleType = tuple[float, float, float, float]
+"""`GeoPandas` bounds: (`minx`, `miny`, `maxx`, `maxy`)."""
+
+
+@dataclass
+class BoundingBoxCoords:
+
+    """A region name and its bounding box coordinates."""
+
+    name: str
+    xmin: float
+    xmax: float
+    ymin: float
+    ymax: float
+    epsg: int = BRITISH_NATION_GRID_COORDS_NUMBER
+
+    def as_tuple(self) -> tuple[float, float, float, float]:
+        """Return in `xmin`, `xmax`, `ymin`, `ymax` order."""
+        return self.xmin, self.xmax, self.ymin, self.ymax
+
+    @property
+    def rioxarry_epsg(self) -> str:
+        """Return `self.epsg` in `rioxarray` `str` format."""
+        return f"EPSG:{self.epsg}"
+
+
+GlasgowCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
+    "Glasgow", 249799.999600002, 269234.9996, 657761.472000003, 672330.696800007
+)
+"""Rough approximation of Glasgow box coordinates."""
+
+LondonCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
+    "London", 503568.1996, 561957.4961, 155850.7974, 200933.9025
+)
+"""Rough approximation of London box coordinates."""
+
+ManchesterCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
+    "Manchester", 380399.997, 393249.999, 389349.999, 405300.003
+)
+"""Rough approximation of Manchester box coordinates."""
+
+ScotlandCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
+    "Scotland", 51029, 547530, 419319, 1222324
+)
+"""Rough approximation of Scotland box coordinates."""
+
+DEFAULT_CROP_COORDS_EPSG2770: Final[dict[str, BoundingBoxCoords]] = {
+    record.name: record for record in 
+    (GlasgowCoordsEPSG27700, ManchesterCoordsEPSG27700,
+     LondonCoordsEPSG27700, ScotlandCoordsEPSG27700)
+}
+
+GLASGOW_CENTRE_COORDS: Final[tuple[float, float]] = (55.86279, -4.25424)
+MANCHESTER_CENTRE_COORDS: Final[tuple[float, float]] = (53.48095, -2.23743)
+LONDON_CENTRE_COORDS: Final[tuple[float, float]] = (51.509865, -0.118092)
+THREE_CITY_CENTRE_COORDS: Final[dict[str, tuple[float, float]]] = {
+    "Glasgow": GLASGOW_CENTRE_COORDS,
+    "Manchester": MANCHESTER_CENTRE_COORDS,
+    "London": LONDON_CENTRE_COORDS,
+}
+"""City centre `(lon, lat)` `tuple` coords of `Glasgow`, `Manchester` and `London`."""
+
+MONTH_DAY_XARRAY_LEAP_YEAR_DROP: DropDayType = {
+    (1, 31),
+    (4, 1),
+    (6, 1),
+    (8, 1),
+    (9, 31),
+    (12, 1),
+}
+"""A `set` of month and day tuples dropped for `xarray.day_360` leap years."""
+
+MONTH_DAY_XARRAY_NO_LEAP_YEAR_DROP: DropDayType = {
+    (2, 6),
+    (4, 20),
+    (7, 2),
+    (9, 13),
+    (11, 25),
+}
+"""A `set` of month and day tuples dropped for `xarray.day_360` non leap years."""
+
+DEFAULT_INTERPOLATION_METHOD: str = "linear"
+"""Default method to infer missing estimates in a time series."""
+
+CFCalendarSTANDARD: Final[str] = "standard"
+ConvertCalendarAlignOptions = Literal["date", "year", None]
+
+XArrayEngineType = Literal[*tuple(ENGINES)]
+"""Engine types supported by `xarray` as `str`."""
+
+DEFAULT_CALENDAR_ALIGN: Final[ConvertCalendarAlignOptions] = "year"
+NETCDF4_XARRAY_ENGINE: Final[str] = "netcdf4"
+
+DEFAULT_RELATIVE_GRID_DATA_PATH: Final[Path] = (
+    Path().absolute() / "../data/rcp85_land-cpm_uk_2.2km_grid.nc"
+)
+TIME_COLUMN_NAME: Final[str] = "time"
+
+GLASGOW_GEOM_LOCAL_PATH: Final[Path] = Path(
+    "shapefiles/three.cities/Glasgow/Glasgow.shp"
+)
 
 class VariableOptions(StrEnumReprName):
     """Supported options for variables"""
@@ -138,6 +249,7 @@ class RegionOptions(StrEnumReprName):
     GLASGOW = "Glasgow"
     MANCHESTER = "Manchester"
     LONDON = "London"
+    SCOTLAND = "Scotland"
 
     @classmethod
     def default(cls) -> str:
@@ -149,6 +261,11 @@ def all(cls) -> tuple[str, ...]:
         """Return a `tuple` of all options"""
         return tuple(map(lambda c: c.value, cls))
 
+    @classmethod
+    def boundaries_dict(cls) -> dict[str, BoundingBoxCoords]:
+        """`dict` for accessing bounding boxes of included `Regions`."""
+        return DEFAULT_CROP_COORDS_EPSG2770
+
 
 @dataclass
 class DataLicense:
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 8c4a9c16..48310e31 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -1,9 +1,8 @@
-from dataclasses import dataclass
 from datetime import date, datetime, timedelta
 from logging import getLogger
 from os import PathLike
 from pathlib import Path
-from typing import Any, Callable, Final, Literal
+from typing import Any, Callable, Final
 
 import numpy as np
 import rioxarray  # nopycln: import
@@ -16,7 +15,6 @@
 from osgeo.gdal import GDALWarpAppOptions, Warp, WarpOptions
 from pandas import DatetimeIndex, date_range
 from xarray import CFTimeIndex, DataArray, Dataset, cftime_range, open_dataset
-from xarray.backends.api import ENGINES
 from xarray.coding.calendar_ops import convert_calendar
 from xarray.core.types import (
     CFCalendar,
@@ -32,110 +30,34 @@
     climate_data_mount_path,
     results_path,
 )
+from .data import (
+    BRITISH_NATIONAL_GRID_EPSG,
+    DEFAULT_CALENDAR_ALIGN,
+    DEFAULT_INTERPOLATION_METHOD,
+    DEFAULT_RELATIVE_GRID_DATA_PATH,
+    GLASGOW_GEOM_LOCAL_PATH,
+    NETCDF4_XARRAY_ENGINE,
+    TIME_COLUMN_NAME,
+    BoundingBoxCoords,
+    CFCalendarSTANDARD,
+    ConvertCalendarAlignOptions,
+    XArrayEngineType,
+)
 from .gdal_formats import NETCDF_EXTENSION_STR, GDALFormatsType, GDALGeoTiffFormatStr
 
 logger = getLogger(__name__)
 
 seaborn.set()  # Use seaborn style for all `matplotlib` plots
 
-DropDayType = set[tuple[int, int]]
-ChangeDayType = set[tuple[int, int]]
 ReprojectFuncType = Callable[[T_Dataset], T_Dataset]
 
-# MONTH_DAY_DROP: DropDayType = {(1, 31), (4, 1), (6, 1), (8, 1), (10, 1), (12, 1)}
-# """A `set` of tuples of month and day numbers for `enforce_date_changes`."""
-
-
-BRITISH_NATION_GRID_COORDS_NUMBER: Final[int] = 27700
-BRITISH_NATIONAL_GRID_EPSG: Final[str] = f"EPSG:{BRITISH_NATION_GRID_COORDS_NUMBER}"
-
-MONTH_DAY_XARRAY_LEAP_YEAR_DROP: DropDayType = {
-    (1, 31),
-    (4, 1),
-    (6, 1),
-    (8, 1),
-    (9, 31),
-    (12, 1),
-}
-"""A `set` of month and day tuples dropped for `xarray.day_360` leap years."""
-
-MONTH_DAY_XARRAY_NO_LEAP_YEAR_DROP: DropDayType = {
-    (2, 6),
-    (4, 20),
-    (7, 2),
-    (9, 13),
-    (11, 25),
-}
-"""A `set` of month and day tuples dropped for `xarray.day_360` non leap years."""
-
-DEFAULT_INTERPOLATION_METHOD: str = "linear"
-"""Default method to infer missing estimates in a time series."""
-
-CFCalendarSTANDARD: Final[str] = "standard"
-ConvertCalendarAlignOptions = Literal["date", "year", None]
-
-GLASGOW_CENTRE_COORDS: Final[tuple[float, float]] = (55.86279, -4.25424)
-MANCHESTER_CENTRE_COORDS: Final[tuple[float, float]] = (53.48095, -2.23743)
-LONDON_CENTRE_COORDS: Final[tuple[float, float]] = (51.509865, -0.118092)
-THREE_CITY_CENTRE_COORDS: Final[dict[str, tuple[float, float]]] = {
-    "Glasgow": GLASGOW_CENTRE_COORDS,
-    "Manchester": MANCHESTER_CENTRE_COORDS,
-    "London": LONDON_CENTRE_COORDS,
-}
-"""City centre `(lon, lat)` `tuple` coords of `Glasgow`, `Manchester` and `London`."""
-
-
-@dataclass
-class BoundingBoxCoords:
-    name: str
-    xmin: float
-    xmax: float
-    ymin: float
-    ymax: float
-    epsg: int = int(BRITISH_NATIONAL_GRID_EPSG[5:])
-
-    def as_tuple(self) -> tuple[float, float, float, float]:
-        """Return in `xmin`, `xmax`, `ymin`, `ymax` order."""
-        return self.xmin, self.xmax, self.ymin, self.ymax
-
-    @property
-    def rioxarry_epsg(self) -> str:
-        """Return `self.epsg` in `rioxarray` `str` format."""
-        return f"EPSG:{self.epsg}"
-
-
-GlasgowCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
-    "Glasgow", 249799.999600002, 269234.9996, 657761.472000003, 672330.696800007
-)
-
-LondonCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
-    "London", 503568.1996, 561957.4961, 155850.7974, 200933.9025
-)
-ManchesterCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
-    "Manchester", 380399.997, 393249.999, 389349.999, 405300.003
-)
-
-
-GLASGOW_GEOM_LOCAL_PATH: Final[Path] = Path(
-    "shapefiles/three.cities/Glasgow/Glasgow.shp"
-)
 GLASGOW_GEOM_ABSOLUTE_PATH: Final[Path] = (
     climate_data_mount_path() / GLASGOW_GEOM_LOCAL_PATH
 )
 
-BoundsTupleType = tuple[float, float, float, float]
-"""`GeoPandas` bounds: (`minx`, `miny`, `maxx`, `maxy`)."""
-
-XArrayEngineType = Literal[*tuple(ENGINES)]
-"""Engine types supported by `xarray` as `str`."""
-
-DEFAULT_CALENDAR_ALIGN: Final[ConvertCalendarAlignOptions] = "year"
-NETCDF4_XARRAY_ENGINE: Final[str] = "netcdf4"
+# MONTH_DAY_DROP: DropDayType = {(1, 31), (4, 1), (6, 1), (8, 1), (10, 1), (12, 1)}
+# """A `set` of tuples of month and day numbers for `enforce_date_changes`."""
 
-DEFAULT_RELATIVE_GRID_DATA_PATH: Final[Path] = (
-    Path().absolute() / "../data/rcp85_land-cpm_uk_2.2km_grid.nc"
-)
-TIME_COLUMN_NAME: Final[str] = "time"
 
 HADS_RAW_X_COLUMN_NAME: Final[str] = "projection_x_coordinate"
 HADS_RAW_Y_COLUMN_NAME: Final[str] = "projection_y_coordinate"
@@ -165,8 +87,7 @@ def cpm_xarray_to_standard_calendar(
     -------
     `Dataset` calendar converted to standard (Gregorian).
     """
-    if isinstance(cpm_xr_time_series, PathLike):
-        cpm_xr_time_series = open_dataset(cpm_xr_time_series, decode_coords="all")
+    cpm_xr_time_series, _ = check_xarray_path_and_var_name(cpm_xr_time_series, None)
     cpm_to_std_calendar: T_Dataset = convert_xr_calendar(
         cpm_xr_time_series, interpolate_na=True, check_cftime_cols=("time_bnds",)
     )
@@ -584,12 +505,6 @@ def plot_xarray(
 def crop_xarray(
     xr_time_series: T_Dataset | PathLike,
     crop_box: BoundingBoxCoords,
-    invert=False,
-    final_crs: str = BRITISH_NATIONAL_GRID_EPSG,
-    initial_clip_box: bool = False,
-    enforce_xarray_spatial_dims: bool = True,
-    xr_spatial_xdim: str = "grid_longitude",
-    xr_spatial_ydim: str = "grid_latitude",
     **kwargs,
 ) -> T_Dataset:
     """Crop `xr_time_series` with `crop_path` `shapefile`.
@@ -624,6 +539,7 @@ def crop_xarray(
 
     Examples
     --------
+    >>> from clim_recal.utils.data import GlasgowCoordsEPSG27700
     >>> from numpy.testing import assert_allclose
     >>> tasmax_cpm_1980_raw = getfixture('tasmax_cpm_1980_raw')
     >>> if not tasmax_cpm_1980_raw:
@@ -649,33 +565,7 @@ def crop_xarray(
         raise ValueError(
             f"'xr_time_series.rio.crs': '{xr_time_series.rio.epsg}' must equal 'crop_box.crs': '{crop_box.crs}'"
         )
-    return xr_time_series.rio.clip_box(*crop_box.as_tuple())
-
-    # xr_time_series = reproject_xarray_by_crs(
-    #     xr_time_series,
-    #     crs=final_crs,
-    #     enforce_xarray_spatial_dims=enforce_xarray_spatial_dims,
-    #     xr_spatial_xdim=xr_spatial_xdim,
-    #     xr_spatial_ydim=xr_spatial_ydim,
-    # )
-
-    # assert isinstance(crop_geom, GeoDataFrame)
-    # crop_geom.set_crs(crs=final_crs, inplace=True)
-    # if initial_clip_box:
-    # return xr_time_series.rio.clip_box(
-    #     minx=crop_geom.bounds.minx,
-    #     miny=crop_geom.bounds.miny,
-    #     maxx=crop_geom.bounds.maxx,
-    #     maxy=crop_geom.bounds.maxy,
-    # )
-    # return xr_time_series.rio.clip(
-    #     crop_geom.geometry.values, drop=True, invert=invert, **kwargs
-    # )
-    assert False
-    gdal_warp_wrapper(
-        input_path=xr_time_series,
-        output_path=output_path,
-    )
+    return xr_time_series.rio.clip_box(*crop_box.as_tuple(), **kwargs)
 
 
 def ensure_xr_dataset(
@@ -1217,3 +1107,13 @@ def cftime_range_gen(time_data_array: T_DataArray, **kwargs) -> NDArray:
     )
     time_bnds_fix_range_end: CFTimeIndex = time_bnds_fix_range_start + timedelta(days=1)
     return np.array((time_bnds_fix_range_start, time_bnds_fix_range_end)).T
+
+
+# def tansform_lat_lng_bounding_box(bbox: tuple[float, float] | BoundsTupleType):
+#     # clip_box = box(*bbox)
+#     wgs84 = pyproj.CRS('EPSG:4326')
+#     brit_grid = pyproj.CRS('EPSG:27700')
+#     project = pyproj.Transformer.from_crs(wgs84, brit_grid, always_xy=True).transform
+#     clip_box = transform(project, clip_box)
+#     clipped = grid.rio.clip([clip_box])
+#     return clipped
diff --git a/python/conftest.py b/python/conftest.py
index 22196a7b..0a465439 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -21,8 +21,9 @@
     is_platform_darwin,
     results_path,
 )
+from clim_recal.utils.data import BoundsTupleType
 from clim_recal.utils.server import CondaLockFileManager
-from clim_recal.utils.xarray import GLASGOW_GEOM_LOCAL_PATH, BoundsTupleType
+from clim_recal.utils.xarray import GLASGOW_GEOM_LOCAL_PATH
 from tests.utils import (
     CLI_CMETHODS_DEFAULT_COMMAND_STR_CORRECT,
     CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT,
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index c1708487..8270701a 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -32,7 +32,12 @@
     date_range_generator,
     results_path,
 )
-from clim_recal.utils.data import CEDADataSources, HadUKGrid, UKCPLocalProjections
+from clim_recal.utils.data import (
+    BoundsTupleType,
+    CEDADataSources,
+    HadUKGrid,
+    UKCPLocalProjections,
+)
 from clim_recal.utils.gdal_formats import (
     GDALFormatExtensions,
     GDALFormatsType,
@@ -45,12 +50,10 @@
     HADS_RAW_X_COLUMN_NAME,
     HADS_RAW_Y_COLUMN_NAME,
     NETCDF4_XARRAY_ENGINE,
-    BoundsTupleType,
     ConvertCalendarAlignOptions,
     convert_xr_calendar,
     cpm_reproject_with_standard_calendar,
     cpm_xarray_to_standard_calendar,
-    crop_xarray,
     file_name_to_start_end_dates,
     gdal_warp_wrapper,
     hads_resample_and_reproject,
@@ -608,62 +611,121 @@ def test_cpm_tif_to_standard_calendar(
     assert False
 
 
-@pytest.mark.xfail(reason="not finished writing, will need refactor")
+# @pytest.mark.xfail(reason="not finished writing, will need refactor")
+@pytest.mark.localcache
+@pytest.mark.slow
+@pytest.mark.mount
+@pytest.mark.parametrize("data_type", (UKCPLocalProjections, HadUKGrid))
+@pytest.mark.parametrize(
+    "config", ("direct", "range", "direct_provided", "range_provided")
+)
 def test_crop_xarray(
     # align_on: ConvertCalendarAlignOptions,
     # ukcp_tasmax_raw_path
-    glasgow_shape_file_path,
-    data_fixtures_path,
-    glasgow_epsg_27700_bounds,
-    uk_rotated_grid_bounds,
+    # glasgow_shape_file_path,
+    # data_fixtures_path,
+    # glasgow_epsg_27700_bounds,
+    tasmax_cpm_1980_raw_path,
+    tasmax_hads_1980_raw_path,
+    # uk_rotated_grid_bounds,
+    resample_test_cpm_output_path,
+    config: str,
+    data_type: str,
 ):
     """Test `cropping` `DataArray` to `standard` calendar."""
-    # cropped.rio.set_spatial_dims(x_dim="grid_longitude", y_dim="grid_latitude")
-    datetime_now_str: str = str(datetime.now()).replace(" ", "-")
-
-    # plot_path: Path = data_fixtures_path / 'output'
-    plot_path: Path = Path("tests") / "runs"
-    plot_path.mkdir(parents=True, exist_ok=True)
-
-    glasgow_fig_file_name: Path = Path(f"glasgow_{datetime_now_str}.png")
-    pre_crop_fig_file_name: Path = Path(f"pre_crop_{datetime_now_str}.png")
-    crop_fig_file_name: Path = Path(f"test_crop_{datetime_now_str}.png")
-
-    glasgow_test_fig_path: Path = plot_path / glasgow_fig_file_name
-    pre_crop_test_fig_path: Path = plot_path / pre_crop_fig_file_name
-    crop_test_fig_path: Path = plot_path / crop_fig_file_name
-
-    glasgow_geo_df: GeoDataFrame = read_file(glasgow_shape_file_path)
-    glasgow_geo_df.plot()
-    plt.savefig(glasgow_test_fig_path)
-    assert glasgow_geo_df.crs == BRITISH_NATIONAL_GRID_EPSG
-    assert tuple(glasgow_geo_df.bounds.values.tolist()[0]) == glasgow_epsg_27700_bounds
-
-    max_temp_1981_path: Path = annual_data_path(
-        end_year=1981,
-        parent_path=data_fixtures_path,
+    CPM_FIRST_DATES: np.array = np.array(
+        ["19801201", "19801202", "19801203", "19801204", "19801205"]
     )
-    xarray_pre_crop: T_Dataset = open_dataset(max_temp_1981_path, decode_coords="all")
-    xarray_pre_crop.isel(time=0).tasmax.plot()
-    plt.savefig(pre_crop_test_fig_path)
-
-    assert str(xarray_pre_crop.rio.crs) != BRITISH_NATIONAL_GRID_EPSG
-    assert xarray_pre_crop.rio.bounds() == uk_rotated_grid_bounds
-
-    cropped: T_Dataset = crop_xarray(
-        xr_time_series=max_temp_1981_path,
-        crop_geom=glasgow_shape_file_path,
-        enforce_xarray_spatial_dims=True,
-        invert=True,
-        initial_clip_box=False,
+    crop_path: Path = resample_test_cpm_output_path / config
+    output_path: Path = resample_test_cpm_output_path / config
+    test_config: CPMResampler | HADsResampler
+    if data_type == HadUKGrid:
+        test_config = HADsResampler(
+            input_path=tasmax_hads_1980_raw_path.parent,
+            output_path=output_path,
+            crop_path=crop_path,
+        )
+    else:
+        assert data_type == UKCPLocalProjections
+        test_config = CPMResampler(
+            input_path=tasmax_cpm_1980_raw_path.parent,
+            output_path=output_path,
+            crop_path=crop_path,
+        )
+    paths: list[Path]
+    reproject_result: GDALDataset = test_config.to_reprojection()
+    match config:
+        case "direct":
+            paths = [test_config.crop_projection(region="Scotland")]
+        case "range":
+            paths = test_config.range_to_reprojection(stop=1)
+        case "direct_provided":
+            paths = [
+                test_config.to_reprojection(index=0, source_to_index=tuple(test_config))
+            ]
+        case "range_provided":
+            paths = test_config.range_to_reprojection(
+                stop=1, source_to_index=tuple(test_config)
+            )
+    crop: T_Dataset = open_dataset(paths[0])
+    assert crop.dims["time"] == 365
+    # assert crop.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_CPM_WIDTH
+    # assert_allclose(export.tasmax[10][5][:10].values, FINAL_CPM_DEC_10_5_X_0_10_Y)
+    assert (
+        CPM_FIRST_DATES == crop.time.dt.strftime(CLI_DATE_FORMAT_STR).head().values
+    ).all()
+    plot_xarray(
+        crop.tasmax[0],
+        path=resample_test_cpm_output_path / f"config-{config}.png",
+        time_stamp=True,
     )
-
-    cropped.isel(time=0).tasmax.plot()
-    plt.savefig(crop_test_fig_path)
-
-    assert str(cropped.rio.crs) == BRITISH_NATIONAL_GRID_EPSG
-    assert cropped.rio.bounds() == glasgow_epsg_27700_bounds
     assert False
+    # cropped.rio.set_spatial_dims(x_dim="grid_longitude", y_dim="grid_latitude")
+    # datetime_now_str: str = str(datetime.now()).replace(" ", "-")
+    #
+    # # plot_path: Path = data_fixtures_path / 'output'
+    # plot_path: Path = Path("tests") / "runs"
+    # plot_path.mkdir(parents=True, exist_ok=True)
+    #
+    # glasgow_fig_file_name: Path = Path(f"glasgow_{datetime_now_str}.png")
+    # pre_crop_fig_file_name: Path = Path(f"pre_crop_{datetime_now_str}.png")
+    # crop_fig_file_name: Path = Path(f"test_crop_{datetime_now_str}.png")
+    #
+    # glasgow_test_fig_path: Path = plot_path / glasgow_fig_file_name
+    # pre_crop_test_fig_path: Path = plot_path / pre_crop_fig_file_name
+    # crop_test_fig_path: Path = plot_path / crop_fig_file_name
+    #
+    # glasgow_geo_df: GeoDataFrame = read_file(glasgow_shape_file_path)
+    # glasgow_geo_df.plot()
+    # plt.savefig(glasgow_test_fig_path)
+    # assert glasgow_geo_df.crs == BRITISH_NATIONAL_GRID_EPSG
+    # assert tuple(glasgow_geo_df.bounds.values.tolist()[0]) == glasgow_epsg_27700_bounds
+    #
+    # max_temp_1981_path: Path = annual_data_path(
+    #     end_year=1981,
+    #     parent_path=data_fixtures_path,
+    # )
+    # xarray_pre_crop: T_Dataset = open_dataset(max_temp_1981_path, decode_coords="all")
+    # xarray_pre_crop.isel(time=0).tasmax.plot()
+    # plt.savefig(pre_crop_test_fig_path)
+    #
+    # assert str(xarray_pre_crop.rio.crs) != BRITISH_NATIONAL_GRID_EPSG
+    # assert xarray_pre_crop.rio.bounds() == uk_rotated_grid_bounds
+    #
+    # cropped: T_Dataset = crop_xarray(
+    #     xr_time_series=max_temp_1981_path,
+    #     crop_geom=glasgow_shape_file_path,
+    #     enforce_xarray_spatial_dims=True,
+    #     invert=True,
+    #     initial_clip_box=False,
+    # )
+    #
+    # cropped.isel(time=0).tasmax.plot()
+    # plt.savefig(crop_test_fig_path)
+    #
+    # assert str(cropped.rio.crs) == BRITISH_NATIONAL_GRID_EPSG
+    # assert cropped.rio.bounds() == glasgow_epsg_27700_bounds
+    # assert False
 
 
 @pytest.mark.localcache
diff --git a/python/tests/utils.py b/python/tests/utils.py
index 68f5defe..443d12a0 100644
--- a/python/tests/utils.py
+++ b/python/tests/utils.py
@@ -36,6 +36,7 @@
     iter_to_tuple_strs,
 )
 from clim_recal.utils.data import (
+    THREE_CITY_CENTRE_COORDS,
     HadUKGrid,
     MethodOptions,
     RegionOptions,
@@ -43,7 +44,6 @@
     UKCPLocalProjections,
     VariableOptions,
 )
-from clim_recal.utils.xarray import THREE_CITY_CENTRE_COORDS
 
 logger = getLogger(__name__)
 

From 81b1b798fb3125ac669f5b520841e9f15836a838 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Mon, 17 Jun 2024 11:32:55 +0100
Subject: [PATCH 27/92] fix(ci): set `github` `workflow` to skip `localcahce`
 marked tests

---
 .github/workflows/ci.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index a80a8fe8..3dea0ebc 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -70,7 +70,7 @@ jobs:
 
       - name: Run Python Tests
         run: |
-          mamba run -n ${{ env.CONDA_ENV_NAME }} --cwd python pytest -m "not darwin and not mount"
+          mamba run -n ${{ env.CONDA_ENV_NAME }} --cwd python pytest -m "not darwin and not mount and not localcache"
 
       - name: Copy test coverage results
         run: |

From e248967c8a5d6a08359322b62bcbbfb22af5cfc5 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 18 Jun 2024 10:21:03 +0100
Subject: [PATCH 28/92] refactor: add `range_crop_projection` method to
 `ResampleBase`

---
 python/clim_recal/resample.py     | 146 +++++++-----
 python/clim_recal/utils/core.py   |   3 +
 python/clim_recal/utils/data.py   |  18 +-
 python/clim_recal/utils/xarray.py |  18 +-
 python/conftest.py                |  19 +-
 python/tests/test_resample.py     | 355 +++++++++++++-----------------
 6 files changed, 277 insertions(+), 282 deletions(-)

diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index ac603e49..c8845712 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -27,7 +27,7 @@
 
 from clim_recal.debiasing.debias_wrapper import VariableOptions
 
-from .utils.core import climate_data_mount_path, multiprocess_execute
+from .utils.core import climate_data_mount_path, console, multiprocess_execute
 from .utils.data import RegionOptions, RunOptions, VariableOptions
 from .utils.gdal_formats import TIF_EXTENSION_STR
 from .utils.xarray import (
@@ -36,7 +36,6 @@
     HADS_RAW_X_COLUMN_NAME,
     HADS_RAW_Y_COLUMN_NAME,
     NETCDF_EXTENSION_STR,
-    BoundingBoxCoords,
     ReprojectFuncType,
     apply_geo_func,
     cpm_reproject_with_standard_calendar,
@@ -307,63 +306,96 @@ def execute(self, skip_spatial: bool = False, **kwargs) -> list[Path] | None:
         """Run all steps for processing"""
         return self.range_to_reprojection(**kwargs) if not skip_spatial else None
 
-    def exported_range_to_crop(
+    def _sync_reprojected_paths(
+        self, overwrite_output_path: PathLike | None = None
+    ) -> None:
+        """Sync `self._reprojected_paths` with files in `self.export_path`."""
+        if not hasattr(self, "_reprojected_paths"):
+            if overwrite_output_path:
+                self.output_path = overwrite_output_path
+            path: PathLike = self.output_path
+        self._reprojected_paths: list[Path] = [
+            local_path
+            for local_path in Path(path).iterdir()
+            if local_path.is_file() and local_path.suffix == f".{NETCDF_EXTENSION_STR}"
+        ]
+
+    def range_crop_projection(
         self,
+        regions: Iterable[str] | None = None,
         start: int | None = None,
         stop: int | None = None,
         step: int = 1,
         override_export_path: Path | None = None,
-        source_to_index: Sequence | None = None,
+        return_results: bool = False,
+        **kwargs,
     ) -> list[Path]:
+        regions = regions or self.crop_regions
         start = start or self.start_index
         stop = stop or self.stop_index
-        return self._range_call(
-            method=crop_xarray,
-            start=start,
-            stop=stop,
-            step=step,
-            override_export_path=override_export_path,
-            source_to_index=source_to_index,
-        )
+        export_paths: list[Path | T_Dataset] = []
+        if stop is None:
+            stop = len(self)
+        assert regions
+        for region in regions:
+            console.print(f"Cropping to '{region}' from {self}...")
+            for index in trange(start, stop, step):
+                export_paths.append(
+                    self.crop_projection(
+                        region=region,
+                        index=index,
+                        override_export_path=override_export_path,
+                        return_results=return_results,
+                        **kwargs,
+                    )
+                )
+        return export_paths
 
     def crop_projection(
         self,
         region: str,
         index: int = 0,
-        everride_export_path: Path | None = None,
+        override_export_path: Path | None = None,
         return_results: bool = False,
-        source_to_index: Sequence | None = None,
+        sync_reprojection_paths: bool = True,
+        **kwargs,
     ) -> Path | T_Dataset:
         """Crop a projection to `region` geometry."""
-        # source_path: Path = self._get_source_path(
-        #     index=index, source_to_index=source_to_index
-        # )
-
-        assert False
-        # source_path: Path =
-        path: PathLike = self._output_path(
-            self.resolution_relative_path, override_export_path
-        )
-        return apply_geo_func(
-            source_path=source_path,
-            # func=interpolate_coords,
-            func=self._resample_func,
-            export_folder=path,
-            # Leaving in case we return to using warp
-            # export_path_as_output_path_kwarg=True,
-            # to_netcdf=False,
-            to_netcdf=True,
-            variable_name=self.variable_name,
-            x_dim_name=self.input_file_x_column_name,
-            y_dim_name=self.input_file_y_column_name,
-            # x_grid=self.x,
-            # y_grid=self.y,
-            # source_x_coord_column_name=self.input_file_x_column_name,
-            # source_y_coord_column_name=self.input_file_y_column_name,
-            # use_reference_grid=self._use_reference_grid,
-            new_path_name_func=reproject_2_2km_filename,
-            return_results=return_results,
+        try:
+            assert hasattr(self, "_reprojected_paths")
+        except AssertionError:
+            if sync_reprojection_paths:
+                self._sync_reprojected_paths()
+            else:
+                raise AttributeError(
+                    f"'_reprojected_paths' must be set. "
+                    "Run after 'self.to_reprojection()' or set as a "
+                    "list directly."
+                )
+        try:
+            assert region and region in self.crop_regions
+        except AttributeError:
+            raise IndexError(f"'{region}' not in 'crop_regions': '{self.crop_regions}'")
+        path: PathLike = override_export_path or Path(self.crop_path) / (region)
+        path.mkdir(exist_ok=True, parents=True)
+        resampled_xr: Dataset = self._reprojected_paths[index]
+        cropped: Dataset = crop_xarray(
+            xr_time_series=resampled_xr,
+            crop_box=RegionOptions.bounding_box(region),
+            **kwargs,
         )
+        cropped_file_name: str = "crop_" + region + "-" + resampled_xr.name
+        export_path: Path = path / cropped_file_name
+        cropped.to_netcdf(export_path)
+        if not hasattr(self, "_cropped_paths"):
+            self._cropped_paths: dict[str, list[PathLike]] = {}
+        if region not in self._cropped_paths:
+            self._cropped_paths[region] = []
+        self._cropped_paths[region].append(export_path)
+        if return_results:
+            return cropped
+        else:
+            return export_path
 
     # def execute_crop(self, **kwargs) -> list[Path] | None:
     #     """Run crop for related reprojections."""
@@ -431,13 +463,13 @@ class HADsResampler(ResamblerBase):
     grid: PathLike | T_Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
     input_files: Iterable[PathLike] | None = None
     cpus: int | None = None
-    crop_coords: tuple[BoundingBoxCoords] | None = None
+    crop_path: PathLike = RESAMPLING_OUTPUT_PATH / HADS_CROP_OUTPUT_LOCAL_PATH
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG
     grid_x_column_name: str = HADS_XDIM
     grid_y_column_name: str = HADS_YDIM
     input_file_extension: NETCDF_OR_TIF = NETCDF_EXTENSION_STR
     export_file_extension: NETCDF_OR_TIF = NETCDF_EXTENSION_STR
-    resolution_relative_path: Path = HADS_2_2K_RESOLUTION_PATH
+    # resolution_relative_path: Path = HADS_2_2K_RESOLUTION_PATH
     input_file_x_column_name: str = HADS_XDIM
     input_file_y_column_name: str = HADS_YDIM
     _resample_func: ReprojectFuncType = hads_resample_and_reproject
@@ -453,9 +485,10 @@ def to_reprojection(
         source_path: Path = self._get_source_path(
             index=index, source_to_index=source_to_index
         )
-        path: PathLike = self._output_path(
-            self.resolution_relative_path, override_export_path
-        )
+        path: PathLike = self.output_path
+        # path: PathLike = self._output_path(
+        #     self.resolution_relative_path, override_export_path
+        # )
         return apply_geo_func(
             source_path=source_path,
             # func=interpolate_coords,
@@ -566,6 +599,7 @@ class CPMResampler(ResamblerBase):
 
     input_path: PathLike | None = RAW_CPM_TASMAX_PATH
     output_path: PathLike = RESAMPLING_OUTPUT_PATH / CPM_OUTPUT_LOCAL_PATH
+    crop_path: PathLike = RESAMPLING_OUTPUT_PATH / CPM_CROP_OUTPUT_LOCAL_PATH
     # standard_calendar_relative_path: Path = CPM_STANDARD_CALENDAR_PATH
     input_file_x_column_name: str = CPRUK_XDIM
     input_file_y_column_name: str = CPRUK_YDIM
@@ -586,22 +620,24 @@ def to_reprojection(
         source_path: Path = self._get_source_path(
             index=index, source_to_index=source_to_index
         )
-        path: PathLike = self._output_path(
-            self.resolution_relative_path, override_export_path
-        )
-        return apply_geo_func(
+        path: PathLike = self.output_path
+        # path: PathLike = self._output_path(
+        #     self.resolution_relative_path, override_export_path
+        # )
+        result: Path | T_Dataset | GDALDataset = apply_geo_func(
             source_path=source_path,
             func=self._resample_func,
             new_path_name_func=reproject_standard_calendar_filename,
             export_folder=path,
             to_netcdf=True,
             variable_name=self.cpm_variable_name,
-            # x_grid=self.x,
-            # y_grid=self.y,
-            # x_coord_column_name=self.input_file_x_column_name,
-            # y_coord_column_name=self.input_file_y_column_name,
             return_results=return_results,
         )
+        if isinstance(result, PathLike):
+            if not hasattr(self, "_reprojected_paths"):
+                self._reprojected_paths: list[Path] = []
+            self._reprojected_paths.append(Path(result))
+        return result
 
     def __getstate__(self):
         """Meanse of testing what aspects of instance have issues multiprocessing.
diff --git a/python/clim_recal/utils/core.py b/python/clim_recal/utils/core.py
index d1f5cc85..c2eddc1d 100644
--- a/python/clim_recal/utils/core.py
+++ b/python/clim_recal/utils/core.py
@@ -24,10 +24,13 @@
     Union,
 )
 
+from rich.console import Console
 from tqdm import TqdmExperimentalWarning, tqdm
 
 logger = getLogger(__name__)
 
+console = Console()
+
 warnings.filterwarnings("ignore", category=TqdmExperimentalWarning)
 
 DateType = Union[date, str]
diff --git a/python/clim_recal/utils/data.py b/python/clim_recal/utils/data.py
index 9965f4cb..602ed51e 100644
--- a/python/clim_recal/utils/data.py
+++ b/python/clim_recal/utils/data.py
@@ -40,6 +40,10 @@ def as_tuple(self) -> tuple[float, float, float, float]:
         """Return in `xmin`, `xmax`, `ymin`, `ymax` order."""
         return self.xmin, self.xmax, self.ymin, self.ymax
 
+    def as_dict(self) -> dict[str, float]:
+        """Return coords as `dict`"""
+        return {'xmin': self.xmin, 'xmax': self.xmax, 'ymin': self.ymin, 'ymax': self.ymax}
+
     @property
     def rioxarry_epsg(self) -> str:
         """Return `self.epsg` in `rioxarray` `str` format."""
@@ -47,22 +51,22 @@ def rioxarry_epsg(self) -> str:
 
 
 GlasgowCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
-    "Glasgow", 249799.999600002, 269234.9996, 657761.472000003, 672330.696800007
+    name="Glasgow", xmin=249799.999600002, xmax=269234.9996, ymin=657761.472000003, ymax=672330.696800007
 )
 """Rough approximation of Glasgow box coordinates."""
 
 LondonCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
-    "London", 503568.1996, 561957.4961, 155850.7974, 200933.9025
+    name="London", xmin=503568.1996, xmax=561957.4961, ymin=155850.7974, ymax=200933.9025
 )
 """Rough approximation of London box coordinates."""
 
 ManchesterCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
-    "Manchester", 380399.997, 393249.999, 389349.999, 405300.003
+    name="Manchester", xmin=380399.997, xmax=393249.999, ymin=389349.999, ymax=405300.003
 )
 """Rough approximation of Manchester box coordinates."""
 
 ScotlandCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
-    "Scotland", 51029, 547530, 419319, 1222324
+    name="Scotland", xmin=51029, xmax=547530, ymin=4480515, ymax=1243058
 )
 """Rough approximation of Scotland box coordinates."""
 
@@ -261,10 +265,10 @@ def all(cls) -> tuple[str, ...]:
         """Return a `tuple` of all options"""
         return tuple(map(lambda c: c.value, cls))
 
-    @classmethod
-    def boundaries_dict(cls) -> dict[str, BoundingBoxCoords]:
+    @staticmethod
+    def bounding_box(region_name: str) -> BoundingBoxCoords:
         """`dict` for accessing bounding boxes of included `Regions`."""
-        return DEFAULT_CROP_COORDS_EPSG2770
+        return DEFAULT_CROP_COORDS_EPSG2770[region_name.title()]
 
 
 @dataclass
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 48310e31..8a69b396 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -513,22 +513,8 @@ def crop_xarray(
     ----------
     xr_time_series
         `Dataset` or path to `netcdf` file to load and crop.
-    crop_geom
-        Box coordinates to crop to.
-    invert
-        Whether to invert the `crop_geom` coordinates.
-    final_crs
-        Final coordinate system to return cropped `xr_time_series` in.
-    initial_clip_box
-        Whether to initially clip `xr_time_series` via `crop_geom`
-        boundaries. For more details on chained clip approaches see
-        https://corteva.github.io/rioxarray/html/examples/clip_geom.html#Clipping-larger-rasters
-    enforce_xarray_spatial_dims
-        Whether to use `set_spatial_dims` on `xr_time_series` prior to `clip`.
-    xr_spatial_xdim
-        Column parameter to pass as `xdim` to `set_spatial_dims` if used.
-    xr_spatial_ydim
-        Column parameter to pass as `ydim` to `set_spatial_dims` if used.
+    crop_box
+        Instance of `BoundingBoxCoords` with coords.
     kwargs
         Any additional parameters to pass to `clip`
 
diff --git a/python/conftest.py b/python/conftest.py
index 0a465439..daed1a8d 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -244,11 +244,13 @@ def glasgow_shape_file_path(data_fixtures_path: Path) -> Path:
 
 
 @pytest.fixture(scope="session")
-def test_runs_output_path(path=TEST_RESULTS_PATH) -> Iterator[Path]:
+def test_runs_output_path(
+    keep_test_results: bool, path=TEST_RESULTS_PATH
+) -> Iterator[Path]:
     path.mkdir(exist_ok=True, parents=True)
     yield path
-    # Comment out rmtree line below to leave test files for checking after runs
-    rmtree(path, ignore_errors=True)
+    if not keep_test_results:
+        rmtree(path, ignore_errors=True)
 
 
 def pytest_addoption(parser):
@@ -271,6 +273,12 @@ def pytest_addoption(parser):
         default=False,
         help="Use asyc if --sync-all is used",
     )
+    parser.addoption(
+        "--keep-results",
+        action=BooleanOptionalAction,
+        default=False,
+        help="Keep test result files (else deleted after each test)",
+    )
 
 
 @pytest.fixture(scope="session")
@@ -288,6 +296,11 @@ def use_async(request) -> bool:
     return request.config.getoption("--use-async")
 
 
+@pytest.fixture(scope="session")
+def keep_test_results(request) -> bool:
+    return request.config.getoption("--keep-results")
+
+
 @pytest.fixture(scope="session")
 def local_test_data_path() -> Path:
     return TEST_DATA_PATH
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 8270701a..e5efa144 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -1,11 +1,11 @@
-from datetime import date, datetime
+from datetime import date
 from pathlib import Path
-from typing import Any, Final, Literal
+from typing import Any, Final
 
 import numpy as np
 import pytest
-from geopandas import GeoDataFrame, read_file
-from matplotlib import pyplot as plt
+
+# from matplotlib import pyplot as plt
 from numpy.testing import assert_allclose
 from numpy.typing import NDArray
 from osgeo.gdal import Dataset as GDALDataset
@@ -14,9 +14,11 @@
 
 from clim_recal.resample import (
     BRITISH_NATIONAL_GRID_EPSG,
+    CPM_CROP_OUTPUT_LOCAL_PATH,
     CPRUK_XDIM,
     CPRUK_YDIM,
     DEFAULT_RELATIVE_GRID_DATA_PATH,
+    HADS_CROP_OUTPUT_LOCAL_PATH,
     HADS_XDIM,
     HADS_YDIM,
     CPMResampler,
@@ -27,23 +29,11 @@
 from clim_recal.utils.core import (
     CLI_DATE_FORMAT_STR,
     DateType,
-    annual_data_path,
     annual_data_paths_generator,
     date_range_generator,
     results_path,
 )
-from clim_recal.utils.data import (
-    BoundsTupleType,
-    CEDADataSources,
-    HadUKGrid,
-    UKCPLocalProjections,
-)
-from clim_recal.utils.gdal_formats import (
-    GDALFormatExtensions,
-    GDALFormatsType,
-    GDALGeoTiffFormatStr,
-    GDALNetCDFFormatStr,
-)
+from clim_recal.utils.data import HadUKGrid, UKCPLocalProjections
 from clim_recal.utils.xarray import (
     FINAL_RESAMPLE_LAT_COL,
     FINAL_RESAMPLE_LON_COL,
@@ -55,7 +45,6 @@
     cpm_reproject_with_standard_calendar,
     cpm_xarray_to_standard_calendar,
     file_name_to_start_end_dates,
-    gdal_warp_wrapper,
     hads_resample_and_reproject,
     interpolate_coords,
     plot_xarray,
@@ -400,117 +389,117 @@ def test_convert_cpm_calendar(interpolate_na: bool) -> None:
     )
 
 
-@pytest.mark.slow
-@pytest.mark.xfail
-@pytest.mark.parametrize("data_type", (UKCPLocalProjections, HadUKGrid))
-@pytest.mark.parametrize("data_source", ("mounted", "local"))
-@pytest.mark.parametrize("output_format", (GDALNetCDFFormatStr, GDALGeoTiffFormatStr))
-@pytest.mark.parametrize("glasgow_crop", (True, False))
-def test_geo_warp_format_type_crop(
-    data_type: CEDADataSources,
-    data_source: Literal["mounted", "local"],
-    output_format: GDALFormatsType,
-    glasgow_crop: bool,
-    test_runs_output_path: Path,
-    glasgow_shape_file_path: Path,
-    glasgow_epsg_27700_bounds: BoundsTupleType,
-    uk_rotated_grid_bounds,
-    ukcp_tasmax_raw_mount_path: Path,
-    hads_tasmax_raw_mount_path: Path,
-    hads_tasmax_local_test_path: Path,
-    ukcp_tasmax_local_test_path: Path,
-    is_data_mounted: bool,
-) -> None:
-    """Test using `geo_warp` with mounted raw data."""
-    server_data_path: Path = (
-        ukcp_tasmax_raw_mount_path
-        if data_type == UKCPLocalProjections
-        else hads_tasmax_raw_mount_path
-    )
-    local_data_path: Path = (
-        ukcp_tasmax_local_test_path
-        if data_type == UKCPLocalProjections
-        else hads_tasmax_local_test_path
-    )
-    data_path: Path = server_data_path if data_source == "mounted" else local_data_path
-    if data_source == "mounted" and not is_data_mounted:
-        pytest.skip("requires external data mounted")
-    assert data_path.exists()
-
-    # cropped.rio.set_spatial_dims(x_dim="grid_longitude", y_dim="grid_latitude")
-    datetime_now = datetime.now()
-    warp_path: Path = test_runs_output_path / "geo_warp"
-    if glasgow_crop:
-        glasgow_test_fig_path = results_path(
-            name="glasgow",
-            path=warp_path,
-            time=datetime_now,
-            extension="png",
-            mkdir=True,
-        )
-    pre_warp_test_fig_path = results_path(
-        name="pre_warp", path=warp_path, time=datetime_now, extension="png", mkdir=True
-    )
-    warp_test_file_path = results_path(
-        name="test_warp_file",
-        path=warp_path,
-        time=datetime_now,
-        extension=GDALFormatExtensions[output_format],
-        mkdir=False,
-    )
-    warp_test_fig_path = results_path(
-        name="test_warp", path=warp_path, time=datetime_now, extension="png", mkdir=True
-    )
-
-    if glasgow_crop:
-        glasgow_geo_df: GeoDataFrame = read_file(glasgow_shape_file_path)
-        glasgow_geo_df.plot()
-        plt.savefig(glasgow_test_fig_path)
-        assert glasgow_geo_df.crs == BRITISH_NATIONAL_GRID_EPSG
-        assert (
-            tuple(glasgow_geo_df.bounds.values.tolist()[0]) == glasgow_epsg_27700_bounds
-        )
-
-    max_temp_data_path: Path = (
-        data_path
-        if data_source == "local"
-        else annual_data_path(
-            end_year=1981,
-            parent_path=data_path,
-        )
-    )
-    xarray_pre_warp: T_Dataset = open_dataset(
-        max_temp_data_path, decode_coords="all", engine=NETCDF4_XARRAY_ENGINE
-    )
-    xarray_pre_warp.isel(time=0).tasmax.plot()
-    plt.savefig(pre_warp_test_fig_path)
-
-    assert str(xarray_pre_warp.rio.crs) != BRITISH_NATIONAL_GRID_EPSG
-    assert xarray_pre_warp.rio.bounds() == uk_rotated_grid_bounds
-    # output_path: Path = warp_path / (max_temp_data_path.stem + ".tif" if output_format == GDALGeoTiffFormatStr else ".nc")
-    xarray_warped: GDALDataset
-    if glasgow_crop:
-        xarray_warped = gdal_warp_wrapper(
-            input_path=max_temp_data_path,
-            output_path=warp_test_file_path,
-            format=output_format,
-        )
-    else:
-        xarray_warped = gdal_warp_wrapper(
-            input_path=max_temp_data_path,
-            output_path=warp_test_file_path,
-            format=output_format,
-            output_bounds=uk_rotated_grid_bounds,
-        )
-    assert xarray_warped is not None
-    read_exported: T_Dataset = open_dataset(warp_test_file_path, decode_coords="all")
-
-    read_exported.Band1.plot()
-    plt.savefig(warp_test_fig_path)
-
-    assert str(read_exported.rio.crs) == BRITISH_NATIONAL_GRID_EPSG
-    if glasgow_crop:
-        assert read_exported.rio.bounds() == glasgow_epsg_27700_bounds
+# @pytest.mark.slow
+# @pytest.mark.xfail
+# @pytest.mark.parametrize("data_type", (UKCPLocalProjections, HadUKGrid))
+# @pytest.mark.parametrize("data_source", ("mounted", "local"))
+# @pytest.mark.parametrize("output_format", (GDALNetCDFFormatStr, GDALGeoTiffFormatStr))
+# @pytest.mark.parametrize("glasgow_crop", (True, False))
+# def test_geo_warp_format_type_crop(
+#     data_type: CEDADataSources,
+#     data_source: Literal["mounted", "local"],
+#     output_format: GDALFormatsType,
+#     glasgow_crop: bool,
+#     test_runs_output_path: Path,
+#     glasgow_shape_file_path: Path,
+#     glasgow_epsg_27700_bounds: BoundsTupleType,
+#     uk_rotated_grid_bounds,
+#     ukcp_tasmax_raw_mount_path: Path,
+#     hads_tasmax_raw_mount_path: Path,
+#     hads_tasmax_local_test_path: Path,
+#     ukcp_tasmax_local_test_path: Path,
+#     is_data_mounted: bool,
+# ) -> None:
+#     """Test using `geo_warp` with mounted raw data."""
+#     server_data_path: Path = (
+#         ukcp_tasmax_raw_mount_path
+#         if data_type == UKCPLocalProjections
+#         else hads_tasmax_raw_mount_path
+#     )
+#     local_data_path: Path = (
+#         ukcp_tasmax_local_test_path
+#         if data_type == UKCPLocalProjections
+#         else hads_tasmax_local_test_path
+#     )
+#     data_path: Path = server_data_path if data_source == "mounted" else local_data_path
+#     if data_source == "mounted" and not is_data_mounted:
+#         pytest.skip("requires external data mounted")
+#     assert data_path.exists()
+#
+#     # cropped.rio.set_spatial_dims(x_dim="grid_longitude", y_dim="grid_latitude")
+#     datetime_now = datetime.now()
+#     warp_path: Path = test_runs_output_path / "geo_warp"
+#     if glasgow_crop:
+#         glasgow_test_fig_path = results_path(
+#             name="glasgow",
+#             path=warp_path,
+#             time=datetime_now,
+#             extension="png",
+#             mkdir=True,
+#         )
+#     pre_warp_test_fig_path = results_path(
+#         name="pre_warp", path=warp_path, time=datetime_now, extension="png", mkdir=True
+#     )
+#     warp_test_file_path = results_path(
+#         name="test_warp_file",
+#         path=warp_path,
+#         time=datetime_now,
+#         extension=GDALFormatExtensions[output_format],
+#         mkdir=False,
+#     )
+#     warp_test_fig_path = results_path(
+#         name="test_warp", path=warp_path, time=datetime_now, extension="png", mkdir=True
+#     )
+#
+#     if glasgow_crop:
+#         glasgow_geo_df: GeoDataFrame = read_file(glasgow_shape_file_path)
+#         glasgow_geo_df.plot()
+#         plt.savefig(glasgow_test_fig_path)
+#         assert glasgow_geo_df.crs == BRITISH_NATIONAL_GRID_EPSG
+#         assert (
+#             tuple(glasgow_geo_df.bounds.values.tolist()[0]) == glasgow_epsg_27700_bounds
+#         )
+#
+#     max_temp_data_path: Path = (
+#         data_path
+#         if data_source == "local"
+#         else annual_data_path(
+#             end_year=1981,
+#             parent_path=data_path,
+#         )
+#     )
+#     xarray_pre_warp: T_Dataset = open_dataset(
+#         max_temp_data_path, decode_coords="all", engine=NETCDF4_XARRAY_ENGINE
+#     )
+#     xarray_pre_warp.isel(time=0).tasmax.plot()
+#     plt.savefig(pre_warp_test_fig_path)
+#
+#     assert str(xarray_pre_warp.rio.crs) != BRITISH_NATIONAL_GRID_EPSG
+#     assert xarray_pre_warp.rio.bounds() == uk_rotated_grid_bounds
+#     # output_path: Path = warp_path / (max_temp_data_path.stem + ".tif" if output_format == GDALGeoTiffFormatStr else ".nc")
+#     xarray_warped: GDALDataset
+#     if glasgow_crop:
+#         xarray_warped = gdal_warp_wrapper(
+#             input_path=max_temp_data_path,
+#             output_path=warp_test_file_path,
+#             format=output_format,
+#         )
+#     else:
+#         xarray_warped = gdal_warp_wrapper(
+#             input_path=max_temp_data_path,
+#             output_path=warp_test_file_path,
+#             format=output_format,
+#             output_bounds=uk_rotated_grid_bounds,
+#         )
+#     assert xarray_warped is not None
+#     read_exported: T_Dataset = open_dataset(warp_test_file_path, decode_coords="all")
+#
+#     read_exported.Band1.plot()
+#     plt.savefig(warp_test_fig_path)
+#
+#     assert str(read_exported.rio.crs) == BRITISH_NATIONAL_GRID_EPSG
+#     if glasgow_crop:
+#         assert read_exported.rio.bounds() == glasgow_epsg_27700_bounds
 
 
 @pytest.mark.localcache
@@ -615,31 +604,33 @@ def test_cpm_tif_to_standard_calendar(
 @pytest.mark.localcache
 @pytest.mark.slow
 @pytest.mark.mount
+@pytest.mark.parametrize("region", ("Glasgow", "Manchester", "London", "Scotland"))
 @pytest.mark.parametrize("data_type", (UKCPLocalProjections, HadUKGrid))
 @pytest.mark.parametrize(
-    "config", ("direct", "range", "direct_provided", "range_provided")
+    # "config", ("direct", "range", "direct_provided", "range_provided")
+    "config",
+    ("direct", "range"),
 )
 def test_crop_xarray(
-    # align_on: ConvertCalendarAlignOptions,
-    # ukcp_tasmax_raw_path
-    # glasgow_shape_file_path,
-    # data_fixtures_path,
-    # glasgow_epsg_27700_bounds,
     tasmax_cpm_1980_raw_path,
     tasmax_hads_1980_raw_path,
-    # uk_rotated_grid_bounds,
     resample_test_cpm_output_path,
+    resample_test_hads_output_path,
     config: str,
     data_type: str,
+    region: str,
 ):
     """Test `cropping` `DataArray` to `standard` calendar."""
     CPM_FIRST_DATES: np.array = np.array(
         ["19801201", "19801202", "19801203", "19801204", "19801205"]
     )
-    crop_path: Path = resample_test_cpm_output_path / config
-    output_path: Path = resample_test_cpm_output_path / config
     test_config: CPMResampler | HADsResampler
     if data_type == HadUKGrid:
+        output_path: Path = resample_test_hads_output_path / config
+        crop_path: Path = (
+            resample_test_hads_output_path / config / HADS_CROP_OUTPUT_LOCAL_PATH
+        )
+
         test_config = HADsResampler(
             input_path=tasmax_hads_1980_raw_path.parent,
             output_path=output_path,
@@ -647,85 +638,47 @@ def test_crop_xarray(
         )
     else:
         assert data_type == UKCPLocalProjections
+        output_path: Path = resample_test_cpm_output_path / config
+        crop_path: Path = (
+            resample_test_cpm_output_path / config / CPM_CROP_OUTPUT_LOCAL_PATH
+        )
         test_config = CPMResampler(
             input_path=tasmax_cpm_1980_raw_path.parent,
             output_path=output_path,
             crop_path=crop_path,
         )
     paths: list[Path]
-    reproject_result: GDALDataset = test_config.to_reprojection()
+    try:
+        reproject_result: GDALDataset = test_config.to_reprojection()
+    except FileExistsError:
+        test_config._sync_reprojected_paths(overwrite_output_path=output_path)
+
     match config:
         case "direct":
-            paths = [test_config.crop_projection(region="Scotland")]
+            paths = [test_config.crop_projection(region=region)]
         case "range":
-            paths = test_config.range_to_reprojection(stop=1)
-        case "direct_provided":
-            paths = [
-                test_config.to_reprojection(index=0, source_to_index=tuple(test_config))
-            ]
-        case "range_provided":
-            paths = test_config.range_to_reprojection(
-                stop=1, source_to_index=tuple(test_config)
-            )
+            paths = test_config.range_crop_projection(stop=1)
+        # case "direct_provided":
+        #     paths = [
+        #         test_config.to_reprojection(index=0, source_to_index=tuple(test_config))
+        #     ]
+        # case "range_provided":
+        #     paths = test_config.range_to_reprojection(
+        #         stop=1, source_to_index=tuple(test_config)
+        #     )
     crop: T_Dataset = open_dataset(paths[0])
-    assert crop.dims["time"] == 365
     # assert crop.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_CPM_WIDTH
     # assert_allclose(export.tasmax[10][5][:10].values, FINAL_CPM_DEC_10_5_X_0_10_Y)
-    assert (
-        CPM_FIRST_DATES == crop.time.dt.strftime(CLI_DATE_FORMAT_STR).head().values
-    ).all()
+    if data_type == UKCPLocalProjections:
+        assert crop.dims["time"] == 365
+        assert (
+            CPM_FIRST_DATES == crop.time.dt.strftime(CLI_DATE_FORMAT_STR).head().values
+        ).all()
     plot_xarray(
         crop.tasmax[0],
-        path=resample_test_cpm_output_path / f"config-{config}.png",
+        path=crop_path / region / f"config-{config}.png",
         time_stamp=True,
     )
-    assert False
-    # cropped.rio.set_spatial_dims(x_dim="grid_longitude", y_dim="grid_latitude")
-    # datetime_now_str: str = str(datetime.now()).replace(" ", "-")
-    #
-    # # plot_path: Path = data_fixtures_path / 'output'
-    # plot_path: Path = Path("tests") / "runs"
-    # plot_path.mkdir(parents=True, exist_ok=True)
-    #
-    # glasgow_fig_file_name: Path = Path(f"glasgow_{datetime_now_str}.png")
-    # pre_crop_fig_file_name: Path = Path(f"pre_crop_{datetime_now_str}.png")
-    # crop_fig_file_name: Path = Path(f"test_crop_{datetime_now_str}.png")
-    #
-    # glasgow_test_fig_path: Path = plot_path / glasgow_fig_file_name
-    # pre_crop_test_fig_path: Path = plot_path / pre_crop_fig_file_name
-    # crop_test_fig_path: Path = plot_path / crop_fig_file_name
-    #
-    # glasgow_geo_df: GeoDataFrame = read_file(glasgow_shape_file_path)
-    # glasgow_geo_df.plot()
-    # plt.savefig(glasgow_test_fig_path)
-    # assert glasgow_geo_df.crs == BRITISH_NATIONAL_GRID_EPSG
-    # assert tuple(glasgow_geo_df.bounds.values.tolist()[0]) == glasgow_epsg_27700_bounds
-    #
-    # max_temp_1981_path: Path = annual_data_path(
-    #     end_year=1981,
-    #     parent_path=data_fixtures_path,
-    # )
-    # xarray_pre_crop: T_Dataset = open_dataset(max_temp_1981_path, decode_coords="all")
-    # xarray_pre_crop.isel(time=0).tasmax.plot()
-    # plt.savefig(pre_crop_test_fig_path)
-    #
-    # assert str(xarray_pre_crop.rio.crs) != BRITISH_NATIONAL_GRID_EPSG
-    # assert xarray_pre_crop.rio.bounds() == uk_rotated_grid_bounds
-    #
-    # cropped: T_Dataset = crop_xarray(
-    #     xr_time_series=max_temp_1981_path,
-    #     crop_geom=glasgow_shape_file_path,
-    #     enforce_xarray_spatial_dims=True,
-    #     invert=True,
-    #     initial_clip_box=False,
-    # )
-    #
-    # cropped.isel(time=0).tasmax.plot()
-    # plt.savefig(crop_test_fig_path)
-    #
-    # assert str(cropped.rio.crs) == BRITISH_NATIONAL_GRID_EPSG
-    # assert cropped.rio.bounds() == glasgow_epsg_27700_bounds
-    # assert False
 
 
 @pytest.mark.localcache

From a856656351b5796f4c3428f741b74232ffa0c341 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 18 Jun 2024 11:08:21 +0100
Subject: [PATCH 29/92] fix(crop): ensure `BoundingBoxCoords` `kwargs` for
 `rioxarray` `crop_box`

---
 python/clim_recal/utils/data.py   | 7 +++----
 python/clim_recal/utils/xarray.py | 6 ++++--
 2 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/python/clim_recal/utils/data.py b/python/clim_recal/utils/data.py
index 602ed51e..a2f56805 100644
--- a/python/clim_recal/utils/data.py
+++ b/python/clim_recal/utils/data.py
@@ -40,9 +40,9 @@ def as_tuple(self) -> tuple[float, float, float, float]:
         """Return in `xmin`, `xmax`, `ymin`, `ymax` order."""
         return self.xmin, self.xmax, self.ymin, self.ymax
 
-    def as_dict(self) -> dict[str, float]:
+    def as_rioxarray_dict(self) -> dict[str, float]:
         """Return coords as `dict`"""
-        return {'xmin': self.xmin, 'xmax': self.xmax, 'ymin': self.ymin, 'ymax': self.ymax}
+        return {'minx': self.xmin, 'maxx': self.xmax, 'miny': self.ymin, 'maxy': self.ymax}
 
     @property
     def rioxarry_epsg(self) -> str:
@@ -66,7 +66,7 @@ def rioxarry_epsg(self) -> str:
 """Rough approximation of Manchester box coordinates."""
 
 ScotlandCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
-    name="Scotland", xmin=51029, xmax=547530, ymin=4480515, ymax=1243058
+    name="Scotland", xmin=51029, xmax=547530, ymin=1243058, ymax=4480515,
 )
 """Rough approximation of Scotland box coordinates."""
 
@@ -227,7 +227,6 @@ def all(cls) -> tuple[str, ...]:
         return tuple(map(lambda c: c.value, cls))
 
 
-
 class MethodOptions(StrEnumReprName):
     """Supported options for methods."""
 
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 8a69b396..37f754c7 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -538,7 +538,7 @@ def crop_xarray(
     ...     crop_box=GlasgowCoordsEPSG27700)
     >>> assert_allclose(cropped.rio.bounds(),
     ...                 GlasgowCoordsEPSG27700.as_tuple(),
-    ...                 rtol=.01)
+    ...                 rtol=.001)
     >>> tasmax_cpm_1980_365_day.sizes
     Frozen({'x': 529, 'y': 653, 'time': 365})
     >>> cropped.sizes
@@ -551,7 +551,9 @@ def crop_xarray(
         raise ValueError(
             f"'xr_time_series.rio.crs': '{xr_time_series.rio.epsg}' must equal 'crop_box.crs': '{crop_box.crs}'"
         )
-    return xr_time_series.rio.clip_box(*crop_box.as_tuple(), **kwargs)
+    return xr_time_series.rio.clip_box(
+        **crop_box.as_rioxarray_dict(), crs=crop_box.rioxarry_epsg, **kwargs
+    )
 
 
 def ensure_xr_dataset(

From 6888821d4c23f31e9b447c02683084d97e68c3b0 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 18 Jun 2024 11:53:55 +0100
Subject: [PATCH 30/92] fix: `ScotlandCoordsEPSG27700` to include all of the
 Shetland islands

---
 python/clim_recal/utils/data.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/python/clim_recal/utils/data.py b/python/clim_recal/utils/data.py
index a2f56805..417cfbee 100644
--- a/python/clim_recal/utils/data.py
+++ b/python/clim_recal/utils/data.py
@@ -53,22 +53,22 @@ def rioxarry_epsg(self) -> str:
 GlasgowCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
     name="Glasgow", xmin=249799.999600002, xmax=269234.9996, ymin=657761.472000003, ymax=672330.696800007
 )
-"""Rough approximation of Glasgow box coordinates."""
+"""Glasgow box coordinates in 27700 grid."""
 
 LondonCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
     name="London", xmin=503568.1996, xmax=561957.4961, ymin=155850.7974, ymax=200933.9025
 )
-"""Rough approximation of London box coordinates."""
+"""London box coordinates in 27700 grid."""
 
 ManchesterCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
     name="Manchester", xmin=380399.997, xmax=393249.999, ymin=389349.999, ymax=405300.003
 )
-"""Rough approximation of Manchester box coordinates."""
+"""Manchester box coordinates in 27700 grid."""
 
 ScotlandCoordsEPSG27700: Final[BoundingBoxCoords] = BoundingBoxCoords(
-    name="Scotland", xmin=51029, xmax=547530, ymin=1243058, ymax=4480515,
+    name="Scotland", xmin=5513.00030000042, xmax=470323.0001, ymin=530252.800000001, ymax=1220301.5
 )
-"""Rough approximation of Scotland box coordinates."""
+"""Scotland box coordinates in 27700 grid."""
 
 DEFAULT_CROP_COORDS_EPSG2770: Final[dict[str, BoundingBoxCoords]] = {
     record.name: record for record in 

From cc5d0da4c100b845976998901330d88153516091 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 18 Jun 2024 23:37:59 +0100
Subject: [PATCH 31/92] fix: `BoundingBoxCoords.as_tuple()` ->
 `as_xarray_tuple()`

---
 python/clim_recal/resample.py     |   5 +-
 python/clim_recal/utils/data.py   |   4 +-
 python/clim_recal/utils/xarray.py |   6 +-
 python/conftest.py                |  22 ++++-
 python/tests/test_resample.py     | 157 ++----------------------------
 python/tests/utils.py             |  34 +++++--
 6 files changed, 60 insertions(+), 168 deletions(-)

diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index c8845712..90fe524b 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -336,7 +336,10 @@ def range_crop_projection(
         export_paths: list[Path | T_Dataset] = []
         if stop is None:
             stop = len(self)
-        assert regions
+        try:
+            assert regions
+        except:
+            raise ValueError(f"Iterable 'regions' must be set.")
         for region in regions:
             console.print(f"Cropping to '{region}' from {self}...")
             for index in trange(start, stop, step):
diff --git a/python/clim_recal/utils/data.py b/python/clim_recal/utils/data.py
index 417cfbee..78081b01 100644
--- a/python/clim_recal/utils/data.py
+++ b/python/clim_recal/utils/data.py
@@ -36,9 +36,9 @@ class BoundingBoxCoords:
     ymax: float
     epsg: int = BRITISH_NATION_GRID_COORDS_NUMBER
 
-    def as_tuple(self) -> tuple[float, float, float, float]:
+    def as_rioxarray_tuple(self) -> tuple[float, float, float, float]:
         """Return in `xmin`, `xmax`, `ymin`, `ymax` order."""
-        return self.xmin, self.xmax, self.ymin, self.ymax
+        return self.xmin, self.ymin, self.xmax, self.ymax
 
     def as_rioxarray_dict(self) -> dict[str, float]:
         """Return coords as `dict`"""
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 37f754c7..22ae50b3 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -537,12 +537,12 @@ def crop_xarray(
     ...     tasmax_cpm_1980_365_day,
     ...     crop_box=GlasgowCoordsEPSG27700)
     >>> assert_allclose(cropped.rio.bounds(),
-    ...                 GlasgowCoordsEPSG27700.as_tuple(),
-    ...                 rtol=.001)
+    ...                 GlasgowCoordsEPSG27700.as_rioxarray_tuple(),
+    ...                 rtol=.01)
     >>> tasmax_cpm_1980_365_day.sizes
     Frozen({'x': 529, 'y': 653, 'time': 365})
     >>> cropped.sizes
-    Frozen({'x': 186, 'y': 185, 'time': 365})
+    Frozen({'x': 10, 'y': 8, 'time': 365})
     """
     xr_time_series, _ = check_xarray_path_and_var_name(xr_time_series, None)
     try:
diff --git a/python/conftest.py b/python/conftest.py
index daed1a8d..00c10c7d 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -31,14 +31,14 @@
     CLI_PREPROCESS_DEFAULT_COMMAND_STR_CORRECT,
     CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT,
     CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT,
+    CPM_RAW_TASMAX_1980_FILE,
+    CPM_RAW_TASMAX_EXAMPLE_PATH,
     HADS_RAW_TASMAX_1980_FILE,
     HADS_RAW_TASMAX_EXAMPLE_PATH,
     MOD_FOLDER_FILES_COUNT_CORRECT,
     OBS_FOLDER_FILES_COUNT_CORRECT,
     PREPROCESS_OUT_FOLDER_FILES_COUNT_CORRECT,
     TEST_AUTH_CSV_FILE_NAME,
-    UKCP_RAW_TASMAX_1980_FILE,
-    UKCP_RAW_TASMAX_EXAMPLE_PATH,
     XARRAY_END_DATE_4_DAYS,
     XARRAY_END_DATE_8_DAYS,
     XARRAY_EXAMPLE_END_DATE_4_YEARS,
@@ -123,8 +123,8 @@ def local_cache_fixtures(
         caches=(
             LocalCache(
                 name="tasmax_cpm_1980_raw",
-                source_path=UKCP_RAW_TASMAX_EXAMPLE_PATH,
-                local_cache_path=local_cpm_cache_path / UKCP_RAW_TASMAX_1980_FILE,
+                source_path=CPM_RAW_TASMAX_EXAMPLE_PATH,
+                local_cache_path=local_cpm_cache_path / CPM_RAW_TASMAX_1980_FILE,
                 reader=open_dataset,
                 reader_kwargs={"decode_coords": "all"},
             ),
@@ -135,6 +135,20 @@ def local_cache_fixtures(
                 reader=open_dataset,
                 reader_kwargs={"decode_coords": "all"},
             ),
+            # LocalCache(
+            #     name="railfall_hads_1980_raw",
+            #     source_path=HADS_RAW_RAINFALL_EXAMPLE_PATH,
+            #     local_cache_path=local_hads_cache_path / HADS_RAW_RAINFALL_1980_FILE,
+            #     reader=open_dataset,
+            #     reader_kwargs={"decode_coords": "all"},
+            # ),
+            # LocalCache(
+            #     name="railfall_cpm_1980_raw",
+            #     source_path=CPM_RAW_RAINFALL_EXAMPLE_PATH,
+            #     local_cache_path=local_hads_cache_path / CPM_RAW_RAINFALL_1980_FILE,
+            #     reader=open_dataset,
+            #     reader_kwargs={"decode_coords": "all"},
+            # ),
         ),
     )
     if sync_all:
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index e5efa144..076086f4 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -52,11 +52,11 @@
 from conftest import resample_test_cpm_output_path
 
 from .utils import (
+    CPM_RAW_TASMAX_EXAMPLE_PATH,
+    CPM_TASMAX_DAY_SERVER_PATH,
+    CPM_TASMAX_LOCAL_TEST_PATH,
     HADS_UK_TASMAX_DAY_SERVER_PATH,
     HADS_UK_TASMAX_LOCAL_TEST_PATH,
-    UKCP_RAW_TASMAX_EXAMPLE_PATH,
-    UKCP_TASMAX_DAY_SERVER_PATH,
-    UKCP_TASMAX_LOCAL_TEST_PATH,
     xarray_example,
     year_days_count,
 )
@@ -140,7 +140,7 @@ def reference_final_coord_grid() -> T_Dataset:
 
 @pytest.fixture
 def ukcp_tasmax_raw_mount_path(data_mount_path: Path) -> Path:
-    return data_mount_path / UKCP_TASMAX_DAY_SERVER_PATH
+    return data_mount_path / CPM_TASMAX_DAY_SERVER_PATH
 
 
 @pytest.fixture
@@ -161,7 +161,7 @@ def hads_tasmax_local_test_path(data_fixtures_path: Path) -> Path:
 
 @pytest.fixture
 def ukcp_tasmax_local_test_path(data_fixtures_path: Path) -> Path:
-    return data_fixtures_path / UKCP_TASMAX_LOCAL_TEST_PATH
+    return data_fixtures_path / CPM_TASMAX_LOCAL_TEST_PATH
 
 
 def test_leap_year_days() -> None:
@@ -376,7 +376,7 @@ def test_convert_cpm_calendar(interpolate_na: bool) -> None:
     """
     any_na_values_in_tasmax: bool = not interpolate_na
     raw_nc: T_Dataset = open_dataset(
-        UKCP_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all", engine=NETCDF4_XARRAY_ENGINE
+        CPM_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all", engine=NETCDF4_XARRAY_ENGINE
     )
     assert len(raw_nc.time) == 360
     assert len(raw_nc.time_bnds) == 360
@@ -389,119 +389,6 @@ def test_convert_cpm_calendar(interpolate_na: bool) -> None:
     )
 
 
-# @pytest.mark.slow
-# @pytest.mark.xfail
-# @pytest.mark.parametrize("data_type", (UKCPLocalProjections, HadUKGrid))
-# @pytest.mark.parametrize("data_source", ("mounted", "local"))
-# @pytest.mark.parametrize("output_format", (GDALNetCDFFormatStr, GDALGeoTiffFormatStr))
-# @pytest.mark.parametrize("glasgow_crop", (True, False))
-# def test_geo_warp_format_type_crop(
-#     data_type: CEDADataSources,
-#     data_source: Literal["mounted", "local"],
-#     output_format: GDALFormatsType,
-#     glasgow_crop: bool,
-#     test_runs_output_path: Path,
-#     glasgow_shape_file_path: Path,
-#     glasgow_epsg_27700_bounds: BoundsTupleType,
-#     uk_rotated_grid_bounds,
-#     ukcp_tasmax_raw_mount_path: Path,
-#     hads_tasmax_raw_mount_path: Path,
-#     hads_tasmax_local_test_path: Path,
-#     ukcp_tasmax_local_test_path: Path,
-#     is_data_mounted: bool,
-# ) -> None:
-#     """Test using `geo_warp` with mounted raw data."""
-#     server_data_path: Path = (
-#         ukcp_tasmax_raw_mount_path
-#         if data_type == UKCPLocalProjections
-#         else hads_tasmax_raw_mount_path
-#     )
-#     local_data_path: Path = (
-#         ukcp_tasmax_local_test_path
-#         if data_type == UKCPLocalProjections
-#         else hads_tasmax_local_test_path
-#     )
-#     data_path: Path = server_data_path if data_source == "mounted" else local_data_path
-#     if data_source == "mounted" and not is_data_mounted:
-#         pytest.skip("requires external data mounted")
-#     assert data_path.exists()
-#
-#     # cropped.rio.set_spatial_dims(x_dim="grid_longitude", y_dim="grid_latitude")
-#     datetime_now = datetime.now()
-#     warp_path: Path = test_runs_output_path / "geo_warp"
-#     if glasgow_crop:
-#         glasgow_test_fig_path = results_path(
-#             name="glasgow",
-#             path=warp_path,
-#             time=datetime_now,
-#             extension="png",
-#             mkdir=True,
-#         )
-#     pre_warp_test_fig_path = results_path(
-#         name="pre_warp", path=warp_path, time=datetime_now, extension="png", mkdir=True
-#     )
-#     warp_test_file_path = results_path(
-#         name="test_warp_file",
-#         path=warp_path,
-#         time=datetime_now,
-#         extension=GDALFormatExtensions[output_format],
-#         mkdir=False,
-#     )
-#     warp_test_fig_path = results_path(
-#         name="test_warp", path=warp_path, time=datetime_now, extension="png", mkdir=True
-#     )
-#
-#     if glasgow_crop:
-#         glasgow_geo_df: GeoDataFrame = read_file(glasgow_shape_file_path)
-#         glasgow_geo_df.plot()
-#         plt.savefig(glasgow_test_fig_path)
-#         assert glasgow_geo_df.crs == BRITISH_NATIONAL_GRID_EPSG
-#         assert (
-#             tuple(glasgow_geo_df.bounds.values.tolist()[0]) == glasgow_epsg_27700_bounds
-#         )
-#
-#     max_temp_data_path: Path = (
-#         data_path
-#         if data_source == "local"
-#         else annual_data_path(
-#             end_year=1981,
-#             parent_path=data_path,
-#         )
-#     )
-#     xarray_pre_warp: T_Dataset = open_dataset(
-#         max_temp_data_path, decode_coords="all", engine=NETCDF4_XARRAY_ENGINE
-#     )
-#     xarray_pre_warp.isel(time=0).tasmax.plot()
-#     plt.savefig(pre_warp_test_fig_path)
-#
-#     assert str(xarray_pre_warp.rio.crs) != BRITISH_NATIONAL_GRID_EPSG
-#     assert xarray_pre_warp.rio.bounds() == uk_rotated_grid_bounds
-#     # output_path: Path = warp_path / (max_temp_data_path.stem + ".tif" if output_format == GDALGeoTiffFormatStr else ".nc")
-#     xarray_warped: GDALDataset
-#     if glasgow_crop:
-#         xarray_warped = gdal_warp_wrapper(
-#             input_path=max_temp_data_path,
-#             output_path=warp_test_file_path,
-#             format=output_format,
-#         )
-#     else:
-#         xarray_warped = gdal_warp_wrapper(
-#             input_path=max_temp_data_path,
-#             output_path=warp_test_file_path,
-#             format=output_format,
-#             output_bounds=uk_rotated_grid_bounds,
-#         )
-#     assert xarray_warped is not None
-#     read_exported: T_Dataset = open_dataset(warp_test_file_path, decode_coords="all")
-#
-#     read_exported.Band1.plot()
-#     plt.savefig(warp_test_fig_path)
-#
-#     assert str(read_exported.rio.crs) == BRITISH_NATIONAL_GRID_EPSG
-#     if glasgow_crop:
-#         assert read_exported.rio.bounds() == glasgow_epsg_27700_bounds
-
-
 @pytest.mark.localcache
 @pytest.mark.mount
 @pytest.mark.slow
@@ -920,35 +807,3 @@ def test_execute_resample_configs(
         HADS_FIRST_DATES.astype(object)
         == export.time.dt.strftime(CLI_DATE_FORMAT_STR).head().values
     ).all()
-
-
-# Todo: rearrange test below for crop testing or delete
-# @pytest.mark.xfail(reason="test still in development")
-# @pytest.mark.slow
-# @pytest.mark.mount
-# def test_crop_merged_nc(
-#     # align_on: ConvertCalendarAlignOptions,
-#     # ukcp_tasmax_raw_path
-#     glasgow_shape_file_path,
-#     data_mount_path,
-# ):
-#     """Test `cropping` `DataArray` to `standard` calendar."""
-#     # Create a base
-#     result_bounds: BoundsTupleType = (
-#         353.92520902961434,
-#         -4.693282346489016,
-#         364.3162765660888,
-#         8.073382596733156
-#      )
-#
-#     cropped = crop_xarray(
-#         'tests/data/tasmax_rcp85_land-cpm_uk_2.2km_01_day_19821201-19831130.nc',
-#         crop_geom=glasgow_shape_file_path, invert=True)
-#     assert cropped.rio.bounds == result_bounds
-#     ts_to_crop: dict[Path, T_Dataset] = {}
-#     for path in ukcp_tasmax_raw_5_years_paths:
-#         assert path.exists()
-#         ts_to_crop[path] = open_dataset(path, decode_coords="all")
-#
-#     assert False
-#     test_crop = crop_xarray()
diff --git a/python/tests/utils.py b/python/tests/utils.py
index 443d12a0..9f5eab50 100644
--- a/python/tests/utils.py
+++ b/python/tests/utils.py
@@ -25,7 +25,7 @@
     PROCESSORS_DEFAULT,
     VALID_DATES_STR_DEFAULT,
 )
-from clim_recal.resample import RAW_CPM_TASMAX_PATH, RAW_HADS_TASMAX_PATH
+from clim_recal.resample import RAW_CPM_PATH, RAW_CPM_TASMAX_PATH, RAW_HADS_TASMAX_PATH
 from clim_recal.utils.core import (
     CPM_YEAR_DAYS,
     ISO_DATE_FORMAT_STR,
@@ -52,7 +52,7 @@
     "Processed/HadsUKgrid/resampled_2.2km/tasmax/day"
 )
 
-UKCP_RAW_TASMAX_1980_FILE: Final[Path] = Path(
+CPM_RAW_TASMAX_1980_FILE: Final[Path] = Path(
     "tasmax_rcp85_land-cpm_uk_2.2km_01_day_19801201-19811130.nc"
 )
 HADS_RAW_TASMAX_1980_FILE: Final[Path] = Path(
@@ -63,21 +63,41 @@
     Path(HadUKGrid.slug) / HADS_RAW_TASMAX_1980_FILE
 )
 
-UKCP_TASMAX_DAY_SERVER_PATH: Final[Path] = Path("Raw/UKCP2.2/tasmax/01/latest")
+CPM_TASMAX_DAY_SERVER_PATH: Final[Path] = Path("Raw/UKCP2.2/tasmax/01/latest")
 # Todo: Change "tasmax_rcp85_land-cpm_uk_2.2km_01_day_19801201-19811130.nc"
 # to "tasmax_cpm_example.nc"
-UKCP_TASMAX_LOCAL_TEST_PATH: Final[Path] = (
-    Path(UKCPLocalProjections.slug) / UKCP_RAW_TASMAX_1980_FILE
+CPM_TASMAX_LOCAL_TEST_PATH: Final[Path] = (
+    Path(UKCPLocalProjections.slug) / CPM_RAW_TASMAX_1980_FILE
 )
 
-UKCP_RAW_TASMAX_EXAMPLE_PATH: Final[Path] = (
-    RAW_CPM_TASMAX_PATH / UKCP_RAW_TASMAX_1980_FILE
+HADS_UK_RAINFALL_DAY_SERVER_PATH: Final[Path] = Path("Raw/HadsUKgrid/rainfall/day")
+HADS_RAW_RAINFALL_1980_FILE: Final[Path] = Path(
+    "rainfall_hadukgrid_uk_1km_day_19800101-19800131.nc"
+)
+
+
+RAW_CPM_RAINFALL_PATH: Final[Path] = Path(RAW_CPM_PATH) / "Raw/UKCP2.2/pr/01/latest/"
+RAW_HADS_RAINFALL_PATH: Final[Path] = Path(RAW_CPM_PATH) / "rainfall/day"
+CPM_RAW_RAINFALL_1980_FILE: Final[Path] = Path(
+    "pr_rcp85_land-cpm_uk_2.2km_01_day_20331201-20341130.nc"
+)
+
+CPM_RAW_TASMAX_EXAMPLE_PATH: Final[Path] = (
+    RAW_CPM_TASMAX_PATH / CPM_RAW_TASMAX_1980_FILE
+)
+CPM_RAW_RAINFALL_EXAMPLE_PATH: Final[Path] = (
+    RAW_CPM_RAINFALL_PATH / CPM_RAW_RAINFALL_1980_FILE
 )
 
 HADS_RAW_TASMAX_EXAMPLE_PATH: Final[Path] = (
     RAW_HADS_TASMAX_PATH / HADS_RAW_TASMAX_1980_FILE
 )
 
+HADS_RAW_RAINFALL_EXAMPLE_PATH: Final[Path] = (
+    RAW_HADS_RAINFALL_PATH / HADS_RAW_RAINFALL_1980_FILE
+)
+
+
 XARRAY_EXAMPLE_RANDOM_SEED: Final[int] = 0
 # Default 4 year start and end date covering leap year
 XARRAY_EXAMPLE_START_DATE_STR: Final[str] = "1980-11-30"

From 7817615640b0364d7b26acf2226f193252baf0a4 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Thu, 20 Jun 2024 11:20:31 +0100
Subject: [PATCH 32/92] fix: add `match_xr_time_series` params to
 `xr_reproject_crs`

---
 python/clim_recal/resample.py     | 126 +++++-------------------------
 python/clim_recal/utils/xarray.py | 117 ++++++++++++++-------------
 python/tests/test_resample.py     |  47 +++++------
 3 files changed, 109 insertions(+), 181 deletions(-)

diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index 90fe524b..b0efeda6 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -1,10 +1,7 @@
 """Resample UKHADS data and UKCP18 data.
 
-- UKHADS is resampled spatially from 1km to 2.2km.
-- UKCP18 is resampled temporally from a 360 day calendar to a standard (365/366 day) calendar and projected to British National Grid (BNG) (from rotated polar grid).
-
-## Notes
-
+- UKCP18 is resampled temporally from a 360 day calendar to a standard (365/366 day) calendar and projected to British National Grid (BNG) EPSG:27700 from its original rotated polar grid.
+- UKHADS is resampled spatially from 1km to 2.2km in BNG aligned with the projected UKCP18
 """
 
 from dataclasses import dataclass, field
@@ -61,11 +58,10 @@
 RAW_CPM_PATH: Final[PathLike] = CLIMATE_DATA_MOUNT_PATH / "Raw/UKCP2.2"
 RAW_HADS_TASMAX_PATH: Final[PathLike] = RAW_HADS_PATH / "tasmax/day"
 RAW_CPM_TASMAX_PATH: Final[PathLike] = RAW_CPM_PATH / "tasmax/01/latest"
-REPROJECTED_CPM_TASMAX_05_LATEST_INPUT_PATH: Final[PathLike] = (
+REPROJECTED_CPM_TASMAX_05_LATEST_INPUT_PATH: Final[PathLike] = Path(
     CLIMATE_DATA_MOUNT_PATH / "Reprojected_infill/UKCP2.2/tasmax/05/latest"
 )
 
-CPRUK_RESOLUTION: Final[int] = 2200
 CPRUK_RESAMPLING_METHOD: Final[str] = GRA_NearestNeighbour
 ResamplingArgs = tuple[PathLike, np.ndarray, np.ndarray, PathLike]
 ResamplingCallable = Callable[[list | tuple], int]
@@ -440,7 +436,7 @@ class HADsResampler(ResamblerBase):
     -----
     - [x] Try time projection first
     - [x] Combine with space (this worked)
-    - [ ] Add crop step
+    - [x] Add crop step
 
     Examples
     --------
@@ -475,9 +471,25 @@ class HADsResampler(ResamblerBase):
     # resolution_relative_path: Path = HADS_2_2K_RESOLUTION_PATH
     input_file_x_column_name: str = HADS_XDIM
     input_file_y_column_name: str = HADS_YDIM
+    cpm_for_coord_alignment: T_Dataset | PathLike = RAW_CPM_TASMAX_PATH
     _resample_func: ReprojectFuncType = hads_resample_and_reproject
     _use_reference_grid: bool = True
 
+    def __post_init__(self) -> None:
+        """Ensure `self.cpm_for_coord_alignment` is set."""
+        super().__post_init__()
+        if Path(self.cpm_for_coord_alignment).is_dir():
+            self.cpm_for_coord_alignment = next(
+                Path(self.cpm_for_coord_alignment).glob("t*.nc")
+            )
+        self.cpm_for_coord_alignment = cpm_reproject_with_standard_calendar(
+            self.cpm_for_coord_alignment
+        )
+        logger.info(
+            f"Set 'self.cpm_for_coord_alignment' to: '{self.cpm_for_coord_alignment}'"
+        )
+        # cpm_match_variable_name: str = self.cpm_for_coord_alignment
+
     def to_reprojection(
         self,
         index: int = 0,
@@ -504,6 +516,7 @@ def to_reprojection(
             variable_name=self.variable_name,
             x_dim_name=self.input_file_x_column_name,
             y_dim_name=self.input_file_y_column_name,
+            cpm_to_match=self.cpm_for_coord_alignment,
             # x_grid=self.x,
             # y_grid=self.y,
             # source_x_coord_column_name=self.input_file_x_column_name,
@@ -513,40 +526,6 @@ def to_reprojection(
             return_results=return_results,
         )
 
-    # def to_crop(
-    #     self,
-    #     index: int = 0,
-    #     override_export_path: Path | None = None,
-    #     return_results: bool = False,
-    #     source_to_index: Sequence | None = None,
-    # ) -> Path | T_Dataset:
-    #     source_path: Path = self._output_path(
-    #         index=index, source_to_index=source_to_index
-    #     )
-    #     path: PathLike = self._output_path(
-    #         self.resolution_relative_path, override_export_path
-    #     )
-    #     return apply_geo_func(
-    #         source_path=source_path,
-    #         # func=interpolate_coords,
-    #         func=self._resample_func,
-    #         export_folder=path,
-    #         # Leaving in case we return to using warp
-    #         # export_path_as_output_path_kwarg=True,
-    #         # to_netcdf=False,
-    #         to_netcdf=True,
-    #         variable_name=self.variable_name,
-    #         x_dim_name=self.input_file_x_column_name,
-    #         y_dim_name=self.input_file_y_column_name,
-    #         # x_grid=self.x,
-    #         # y_grid=self.y,
-    #         # source_x_coord_column_name=self.input_file_x_column_name,
-    #         # source_y_coord_column_name=self.input_file_y_column_name,
-    #         # use_reference_grid=self._use_reference_grid,
-    #         new_path_name_func=reproject_2_2km_filename,
-    #         return_results=return_results,
-    #     )
-
 
 @dataclass(kw_only=True, repr=False)
 class CPMResampler(ResamblerBase):
@@ -961,66 +940,3 @@ def _gen_folder_paths(
                 if append_var_path_dict:
                     self._var_path_dict[var_path] = var
                 yield var_path
-
-
-# Kept from previous structure for reference
-# if __name__ == "__main__":
-#     """
-#     Script to resample UKHADs data from the command line
-#     """
-#     # Initialize parser
-#     parser = argparse.ArgumentParser()
-#
-#     # Adding arguments
-#     parser.add_argument(
-#         "--input-path",
-#         help="Path where the .nc files to resample is located",
-#         required=True,
-#         type=str,
-#     )
-#     parser.add_argument(
-#         "--grid-data-path",
-#         help="Path where the .nc file with the grid to resample is located",
-#         required=False,
-#         type=str,
-#         default="../../data/rcp85_land-cpm_uk_2.2km_grid.nc",
-#     )
-#     parser.add_argument(
-#         "--output-path",
-#         help="Path to save the resampled data data",
-#         required=False,
-#         default=".",
-#         type=str,
-#     )
-#     parser_args = parser.parse_args()
-#     hads_run_manager = HADsResampler(
-#         input_path=parser_args.input_path,
-#         grid_data_path=parser_args.grid_data_path,
-#         output_path=parser_args.output,
-#     )
-#     res = hads_run_manager.resample_multiprocessing()
-#
-#     parser_args = parser.parse_args()
-#
-#     # reading baseline grid to resample files to
-#     grid = xr.open_dataset(parser_args.grid_data)
-#
-#     try:
-#         # must have dimensions named projection_x_coordinate and projection_y_coordinate
-#         x = grid["projection_x_coordinate"][:].values
-#         y = grid["projection_y_coordinate"][:].values
-#     except Exception as e:
-#         print(f"Grid file: {parser_args.grid_data} produced errors: {e}")
-#
-#     # If output file do not exist create it
-#     if not os.path.exists(parser_args.output):
-#         os.makedirs(parser_args.output)
-#
-#     # find all nc files in input directory
-#     files = glob.glob(f"{parser_args.input}/*.nc", recursive=True)
-#     N = len(files)
-#
-#     args = [[f, x, y, parser_args.output] for f in files]
-#
-#     with multiprocessing.Pool(processes=os.cpu_count() - 1) as pool:
-#         res = list(tqdm(pool.imap_unordered(resample_hadukgrid, args), total=N))
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 22ae50b3..2efe9164 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -63,6 +63,7 @@
 HADS_RAW_Y_COLUMN_NAME: Final[str] = "projection_y_coordinate"
 HADS_DROP_VARS_AFTER_PROJECTION: Final[tuple[str, ...]] = ("longitude", "latitude")
 
+CPM_RESOLUTION_METERS: Final[int] = 2200
 CPM_RAW_X_COLUMN_NAME: Final[str] = "grid_longitude"
 CPM_RAW_Y_COLUMN_NAME: Final[str] = "grid_latitude"
 
@@ -210,9 +211,11 @@ def cpm_reproject_with_standard_calendar(
         cpm_xr_time_series, variable_name
     )
 
-    standar_calendar_ts: T_Dataset = cpm_xarray_to_standard_calendar(cpm_xr_time_series)
+    standard_calendar_ts: T_Dataset = cpm_xarray_to_standard_calendar(
+        cpm_xr_time_series
+    )
     subset_within_ensemble: T_Dataset = Dataset(
-        {variable_name: standar_calendar_ts[variable_name][0]}
+        {variable_name: standard_calendar_ts[variable_name][0]}
     )
 
     subset_in_epsg_27700: T_DataArray = xr_reproject_crs(
@@ -220,12 +223,13 @@ def cpm_reproject_with_standard_calendar(
         variable_name=variable_name,
         x_dim_name=x_dim_name,
         y_dim_name=y_dim_name,
+        resolution=(CPM_RESOLUTION_METERS, CPM_RESOLUTION_METERS),
     )
     try:
-        assert (subset_in_epsg_27700.time == standar_calendar_ts.time).all()
+        assert (subset_in_epsg_27700.time == standard_calendar_ts.time).all()
     except:
         raise ValueError(
-            f"Time series of 'standar_calendar_ts' does not match time series of projection to {BRITISH_NATIONAL_GRID_EPSG}."
+            f"Time series of 'standard_calendar_ts' does not match time series of projection to {BRITISH_NATIONAL_GRID_EPSG}."
         )
     return subset_in_epsg_27700
 
@@ -237,7 +241,10 @@ def xr_reproject_crs(
     time_dim_name: str = TIME_COLUMN_NAME,
     variable_name: str | None = None,
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG,
-    final_resolution: tuple[int, int] | None = (2200, 2200),
+    match_xr_time_series: T_Dataset | PathLike | None = None,
+    match_xr_time_series_load_func: Callable | None = None,
+    match_xr_time_series_load_kwargs: dict[str, Any] | None = None,
+    **kwargs,
 ) -> T_Dataset:
     """Reproject `source_xr` to `target_xr` coordinate structure.
 
@@ -256,8 +263,6 @@ def xr_reproject_crs(
         Inferred if `None` assuming only one `data_var` attribute.
     final_crs
         Coordinate system `str` to project `xr_time_series` to.
-    final_resolution
-        Resolution to project `xr_time_series` raster data to.
 
     Examples
     --------
@@ -271,10 +276,15 @@ def xr_reproject_crs(
                                         'bnds': 2})
     >>> tasmax_hads_2_2km: T_Dataset = xr_reproject_crs(
     ...     tasmax_hads_1980_raw,
+    ...     variable_name="tasmax",
     ...     x_dim_name=HADS_RAW_X_COLUMN_NAME,
-    ...     y_dim_name=HADS_RAW_Y_COLUMN_NAME,)
+    ...     y_dim_name=HADS_RAW_Y_COLUMN_NAME,
+    ...     resolution=(CPM_RESOLUTION_METERS,
+    ...                 CPM_RESOLUTION_METERS),)
     >>> tasmax_hads_2_2km.dims
-    FrozenMappingWarningOnValuesAccess({'x': 410, 'y': 660, 'time': 31})
+    FrozenMappingWarningOnValuesAccess({'x': 410,
+                                        'y': 660,
+                                        'time': 31})
     """
     xr_time_series, variable_name = check_xarray_path_and_var_name(
         xr_time_series, variable_name
@@ -282,14 +292,14 @@ def xr_reproject_crs(
     xr_time_series = xr_time_series.rio.set_spatial_dims(
         x_dim=x_dim_name, y_dim=y_dim_name, inplace=True
     )
-    # info requires a bf parameter, not straightforward for logging
+    # info requires a df parameter, not straightforward for logging
     # logger.info(xr_time_series.info())
     data_array: T_DataArray = xr_time_series[variable_name]
-    final_index_names: tuple[str, str, str] = (time_dim_name, x_dim_name, y_dim_name)
-    extra_dims: set[str] = set(data_array.indexes.dims) - set(final_index_names)
+    index_names: tuple[str, str, str] = (time_dim_name, x_dim_name, y_dim_name)
+    extra_dims: set[str] = set(data_array.indexes.dims) - set(index_names)
     if extra_dims:
         raise ValueError(
-            f"Can only reindex using dims: {final_index_names}, extra dim(s): {extra_dims}"
+            f"Can only reindex using dims: {index_names}, extra dim(s): {extra_dims}"
         )
     coords: dict[str, DataArray] = {
         time_dim_name: xr_time_series[time_dim_name],
@@ -300,9 +310,38 @@ def xr_reproject_crs(
         data=data_array.to_numpy(), coords=coords, name=variable_name
     )
     without_attributes = without_attributes.rio.write_crs(xr_time_series.rio.crs)
-    without_attributes_reprojected: DataArray = without_attributes.rio.reproject(
-        final_crs, resolution=final_resolution
-    )
+    without_attributes_reprojected: T_DataArray
+    if match_xr_time_series:
+        if match_xr_time_series_load_func:
+            match_xr_time_series_load_kwargs = match_xr_time_series_load_kwargs or {}
+            match_xr_time_series = match_xr_time_series_load_func(
+                match_xr_time_series, **match_xr_time_series_load_kwargs
+            )
+        if not {x_dim_name, y_dim_name} < match_xr_time_series.dims.keys():
+            # If dim name
+            # likely x, y indexes from a projection like cpm, need to match
+            logger.debug(
+                f"'x_dim_name': {x_dim_name} and "
+                f"'y_dim_name': {y_dim_name} not in "
+                f"'match_xr_time_series' dims: "
+                f"{match_xr_time_series.dims.keys()}."
+            )
+            if {"x", "y"} < match_xr_time_series.dims.keys():
+                logger.debug(
+                    "Renaming dims: '{x_dim_name}' -> 'x', '{y_dim_name}' -> 'y'"
+                )
+                without_attributes = without_attributes.rename(
+                    {x_dim_name: "x", y_dim_name: "y"}
+                )
+            else:
+                raise ValueError("Can't match dim names.")
+        without_attributes_reprojected = without_attributes.rio.reproject_match(
+            match_xr_time_series, **kwargs
+        )
+    else:
+        without_attributes_reprojected: T_DataArray = without_attributes.rio.reproject(
+            final_crs, **kwargs
+        )
     return Dataset({variable_name: without_attributes_reprojected})
 
 
@@ -401,54 +440,24 @@ def interpolate_coords(
 def hads_resample_and_reproject(
     hads_xr_time_series: T_Dataset | PathLike,
     variable_name: str,
+    cpm_to_match: T_Dataset | PathLike,
+    cpm_to_match_func: Callable | None = cpm_reproject_with_standard_calendar,
     x_dim_name: str = HADS_RAW_X_COLUMN_NAME,
     y_dim_name: str = HADS_RAW_Y_COLUMN_NAME,
-    # x_grid: NDArray | None = None,
-    # y_grid: NDArray | None = None,
-    # method: str = "linear",
-    # source_x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
-    # source_y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
-    # final_x_coord_column_name: str = FINAL_RESAMPLE_LON_COL,
-    # final_y_coord_column_name: str = FINAL_RESAMPLE_LAT_COL,
-    # final_crs: str | None = BRITISH_NATIONAL_GRID_EPSG,
-    # vars_to_drop: Sequence[str] | None = HADS_DROP_VARS_AFTER_PROJECTION,
-    # use_reference_grid: bool = False,
 ) -> T_Dataset:
     """Resample `HADs` `xarray` time series to 2.2km."""
-    hads_xr_time_series, variable_name = check_xarray_path_and_var_name(
-        hads_xr_time_series, variable_name
-    )
-    # if isinstance(hads_xr_time_series, PathLike):
-    #     hads_xr_time_series = open_dataset(hads_xr_time_series, decode_coords="all")
+
+    if isinstance(cpm_to_match, Dataset) and {"x", "y"} < cpm_to_match.dims.keys():
+        cpm_to_match_func = None
     epsg_277000_2_2km: T_Dataset = xr_reproject_crs(
         hads_xr_time_series,
         variable_name=variable_name,
         x_dim_name=x_dim_name,
         y_dim_name=y_dim_name,
+        match_xr_time_series=cpm_to_match,
+        match_xr_time_series_load_func=cpm_to_match_func,
+        # match_xr_time_series_load_kwargs=dict(variable_name=variable_name),
     )
-
-    # interpolated_hads: T_Dataset = interpolate_coords(
-    #     hads_xr_time_series,
-    #     variable_name=variable_name,
-    #     x_grid=x_grid,
-    #     y_grid=y_grid,
-    #     x_coord_column_name=source_x_coord_column_name,
-    #     y_coord_column_name=source_y_coord_column_name,
-    #     method=method,
-    #     use_reference_grid=use_reference_grid,
-    # )
-    # if vars_to_drop:
-    #     interpolated_hads = interpolated_hads.drop_vars(vars_to_drop)
-    #
-    # interpolated_hads = interpolated_hads.rename(
-    #     {
-    #         source_x_coord_column_name: final_x_coord_column_name,
-    #         source_y_coord_column_name: final_y_coord_column_name,
-    #     }
-    # )
-    # if final_crs:
-    #     interpolated_hads.rio.write_crs(final_crs, inplace=True)
-    # return interpolated_hads
     return epsg_277000_2_2km
 
 
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 076086f4..8e2b080c 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -104,15 +104,15 @@
         np.nan,
         np.nan,
         np.nan,
-        3.39634549,
-        2.97574018,
-        2.63433646,
-        2.62451613,
-        2.53676574,
-        2.42130933,
-        2.66667496,
-        2.60239203,
-        2.5052739,
+        3.61614943,
+        3.22494448,
+        2.87045363,
+        2.62269053,
+        2.79705005,
+        2.73883926,
+        2.48555346,
+        2.46462528,
+        2.61303118,
     )
 )
 
@@ -139,14 +139,14 @@ def reference_final_coord_grid() -> T_Dataset:
 
 
 @pytest.fixture
-def ukcp_tasmax_raw_mount_path(data_mount_path: Path) -> Path:
+def cpm_tasmax_raw_mount_path(data_mount_path: Path) -> Path:
     return data_mount_path / CPM_TASMAX_DAY_SERVER_PATH
 
 
 @pytest.fixture
-def ukcp_tasmax_raw_5_years_paths(ukcp_tasmax_raw_path: Path) -> tuple[Path, ...]:
+def cpm_tasmax_raw_5_years_paths(cpm_tasmax_raw_path: Path) -> tuple[Path, ...]:
     """Return a `tuple` of valid paths for 5 years of"""
-    return tuple(annual_data_paths_generator(parent_path=ukcp_tasmax_raw_path))
+    return tuple(annual_data_paths_generator(parent_path=cpm_tasmax_raw_path))
 
 
 @pytest.fixture
@@ -160,7 +160,7 @@ def hads_tasmax_local_test_path(data_fixtures_path: Path) -> Path:
 
 
 @pytest.fixture
-def ukcp_tasmax_local_test_path(data_fixtures_path: Path) -> Path:
+def cpm_tasmax_local_test_path(data_fixtures_path: Path) -> Path:
     return data_fixtures_path / CPM_TASMAX_LOCAL_TEST_PATH
 
 
@@ -574,7 +574,7 @@ def test_crop_xarray(
 @pytest.mark.parametrize(
     "config", ("direct", "range", "direct_provided", "range_provided")
 )
-def test_ukcp_manager(
+def test_cpm_manager(
     resample_test_cpm_output_path, config: str, tasmax_cpm_1980_raw_path: Path
 ) -> None:
     """Test running default CPM calendar fix."""
@@ -733,26 +733,29 @@ def test_hads_resample_and_reproject(
     reprojected: T_Dataset = hads_resample_and_reproject(
         tasmax_hads_1980_raw,
         variable_name=variable_name,
+        cpm_to_match=tasmax_cpm_1980_raw,
     )
 
-    # plot_xarray(
-    #     reprojected.tasmax[0], path=output_path / "tasmas-1980.png", time_stamp=True
-    # )
-    # assert_allclose(
-    #     reprojected.tasmax[10][430][230:250], FINAL_HADS_JAN_10_430_X_230_250_Y
-    # )
     assert reprojected.rio.crs.to_epsg() == int(BRITISH_NATIONAL_GRID_EPSG[5:])
     export_netcdf_path: Path = results_path(
         "tasmax-1980-converted", path=output_path, extension="nc"
     )
     reprojected.to_netcdf(export_netcdf_path)
     read_from_export: T_Dataset = open_dataset(export_netcdf_path, decode_coords="all")
+    plot_xarray(
+        read_from_export.tasmax[0],
+        path=output_path / "tasmax-1980-JAN-1-resampled.png",
+        time_stamp=True,
+    )
+    assert_allclose(
+        read_from_export.tasmax[10][430][230:250], FINAL_HADS_JAN_10_430_X_230_250_Y
+    )
     assert read_from_export.dims["time"] == 31
     assert (
-        read_from_export.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_HADS_WIDTH
+        read_from_export.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_CPM_WIDTH
     )  # replaces projection_x_coordinate
     assert (
-        read_from_export.dims[FINAL_RESAMPLE_LAT_COL] == FINAL_CONVERTED_HADS_HEIGHT
+        read_from_export.dims[FINAL_RESAMPLE_LAT_COL] == FINAL_CONVERTED_CPM_HEIGHT
     )  # replaces projection_y_coordinate
     assert reprojected.rio.crs == read_from_export.rio.crs == BRITISH_NATIONAL_GRID_EPSG
     # Check projection coordinates match for CPM and HADs

From 91592bfe94901696b1fed91ce670df943d8cb900 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Thu, 20 Jun 2024 12:36:25 +0100
Subject: [PATCH 33/92] test: add `GeoTransform` checks to
 `test_hads_resample_and_reproject`

---
 python/tests/test_resample.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 8e2b080c..b78c969a 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -761,6 +761,10 @@ def test_hads_resample_and_reproject(
     # Check projection coordinates match for CPM and HADs
     assert all(cpm_to_match.x == read_from_export.x)
     assert all(cpm_to_match.y == read_from_export.y)
+    assert (
+        read_from_export.spatial_ref.attrs["GeoTransform"]
+        == cpm_to_match.spatial_ref.attrs["GeoTransform"]
+    )
 
 
 @pytest.mark.localcache

From 64ebfdf5737b72ab157bf850055c0f4c65a2cf26 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Mon, 15 Jul 2024 02:43:37 +0100
Subject: [PATCH 34/92] fix: add `gdal_translate_wrapper` and target
 `gdal@3.8.5`

---
 python/clim_recal/utils/gdal_formats.py |   9 +-
 python/clim_recal/utils/xarray.py       | 262 ++++++++++++++++++++++--
 python/conftest.py                      |   2 +-
 python/pdm.lock                         |   4 +-
 python/tests/test_resample.py           |  22 +-
 5 files changed, 277 insertions(+), 22 deletions(-)

diff --git a/python/clim_recal/utils/gdal_formats.py b/python/clim_recal/utils/gdal_formats.py
index ea8c9341..b40b3ff7 100644
--- a/python/clim_recal/utils/gdal_formats.py
+++ b/python/clim_recal/utils/gdal_formats.py
@@ -1,4 +1,4 @@
-from typing import Final, Literal
+from typing import Final, Literal, get_args
 
 CPM_RAW_PROJ4: Final[
     str
@@ -159,13 +159,16 @@
     "HTTP",
 ]
 
-GDALGeoTiffFormatStr: Final[str] = "GTiff"
-GDALNetCDFFormatStr: Final[str] = "netCDF"
+GDALGeoTiffFormatStr: Final[str] = get_args(GDALFormatsType)[2]
+GDALNetCDFFormatStr: Final[str] = get_args(GDALFormatsType)[42]
+GDALVirtualFormatStr: Final[str] = get_args(GDALFormatsType)[0]
 
 TIF_EXTENSION_STR: Final[str] = "tif"
 NETCDF_EXTENSION_STR: Final[str] = "nc"
+VIRTUAL_EXTENSION_STR: Final[str] = "vrt"
 
 GDALFormatExtensions: Final[dict[str, str]] = {
     GDALGeoTiffFormatStr: TIF_EXTENSION_STR,
     GDALNetCDFFormatStr: NETCDF_EXTENSION_STR,
+    GDALVirtualFormatStr: VIRTUAL_EXTENSION_STR,
 }
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 2efe9164..a22ee647 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -12,8 +12,9 @@
 from numpy import ndarray
 from numpy.typing import NDArray
 from osgeo.gdal import Dataset as GDALDataset
-from osgeo.gdal import GDALWarpAppOptions, Warp, WarpOptions
+from osgeo.gdal import GDALWarpAppOptions, Translate, Warp, WarpOptions
 from pandas import DatetimeIndex, date_range
+from tqdm import tqdm
 from xarray import CFTimeIndex, DataArray, Dataset, cftime_range, open_dataset
 from xarray.coding.calendar_ops import convert_calendar
 from xarray.core.types import (
@@ -43,7 +44,13 @@
     ConvertCalendarAlignOptions,
     XArrayEngineType,
 )
-from .gdal_formats import NETCDF_EXTENSION_STR, GDALFormatsType, GDALGeoTiffFormatStr
+from .gdal_formats import (
+    NETCDF_EXTENSION_STR,
+    VIRTUAL_EXTENSION_STR,
+    GDALFormatsType,
+    GDALNetCDFFormatStr,
+    GDALVirtualFormatStr,
+)
 
 logger = getLogger(__name__)
 
@@ -160,6 +167,7 @@ def cpm_reproject_with_standard_calendar(
     variable_name: str | None = None,
     x_dim_name: str = CPM_RAW_X_COLUMN_NAME,
     y_dim_name: str = CPM_RAW_Y_COLUMN_NAME,
+    temp_path: PathLike = "temp_cpm_projection",
 ) -> T_Dataset:
     """Convert raw `cpm_xr_time_series` to an 365/366 days and 27700 coords.
 
@@ -207,12 +215,59 @@ def cpm_reproject_with_standard_calendar(
     >>> tasmax_cpm_1980_365_day.dims
     FrozenMappingWarningOnValuesAccess({'x': 529, 'y': 653, 'time': 365})
     """
-    cpm_xr_time_series, variable_name = check_xarray_path_and_var_name(
-        cpm_xr_time_series, variable_name
+    # _, variable_name = check_xarray_path_and_var_name(
+    #     cpm_xr_time_series, variable_name
+    # )
+    # cpm_xr_time_series, variable_name = check_xarray_path_and_var_name(
+    #     cpm_xr_time_series, variable_name
+    # )
+    # cpm_xr_time_series
+    # temp_output = Path(temp_path) / ((variable_name or 'var') + '_projected.' + NETCDF_EXTENSION_STR)
+    # temp_output = Path(temp_path) / ((variable_name or 'var') + '_projected.' + TIF_EXTENSION_STR)
+    temp_output = Path(temp_path) / (
+        (variable_name or "var") + "_projected." + VIRTUAL_EXTENSION_STR
+    )
+    temp_output.parent.mkdir(exist_ok=True, parents=True)
+    if isinstance(cpm_xr_time_series, Dataset):
+        xr_time_series_instance: T_Dataset = cpm_xr_time_series
+        cpm_xr_time_series = temp_output.parent / (
+            (variable_name or "var") + "_copy." + NETCDF_EXTENSION_STR
+        )
+        # cpm_xr_time_series = temp_output.parent / ((variable_name or 'var') + '_copy.' + TIF_EXTENSION_STR)
+
+        xr_time_series_instance.to_netcdf(cpm_xr_time_series)
+        # xr_time_series_instance.to_raster(cpm_xr_time_series)
+    assert isinstance(cpm_xr_time_series, PathLike)
+    # tmp_output = Path(temp_cpm_projection) / ((variable_name or 'var') + NETCDF_EXTENSION_STR)
+    # tmp_output.parent.mkdir(exist_ok=True, parents=True)
+    reprojected_path: Path = gdal_warp_wrapper(
+        cpm_xr_time_series,
+        output_path=temp_output,
+        format=GDALVirtualFormatStr,
+        # format=GDALNetCDFFormatStr,
+        # format=GDALGeoTiffFormatStr,
+    )
+    # translated_result_path: Path =
+    translated_path = Path(temp_path) / (
+        (variable_name or "var") + "_translated-prog-bar." + NETCDF_EXTENSION_STR
     )
+    assert False
+    translated_results: GDALDataset | Path = gdal_translate_wrapper(
+        input_path=reprojected_path,
+        output_path=translated_path,
+        return_path=False,
+        format=GDALNetCDFFormatStr,
+    )
+    # translated_results = Translate(
+    #     destName=translated_temp_path,
+    #     srcDS=reprojected_path,
+    #     format=GDALNetCDFFormatStr)
+    # reprojected_cpm_xr_time_series, check_variable_name = check_xarray_path_and_var_name(
+    #     reprojected_path, variable_name
+    # )
 
     standard_calendar_ts: T_Dataset = cpm_xarray_to_standard_calendar(
-        cpm_xr_time_series
+        reprojected_cpm_xr_time_series
     )
     subset_within_ensemble: T_Dataset = Dataset(
         {variable_name: standard_calendar_ts[variable_name][0]}
@@ -815,6 +870,41 @@ def interpolate_xr_ts_nans(
         return interpolated_ts
 
 
+DEFAULT_WARP_DICT_OPTIONS: dict[str, str | float] = {
+    "VARIABLES_AS_BANDS": "YES",
+    "GDAL_NETCDF_VERIFY_DIMS": "STRICT",
+}
+
+
+def _gen_progress_bar() -> tuple[tqdm, Callable[float, ...]]:
+    progress_bar: tqdm = tqdm(total=100)
+
+    def _tqdm_progress_callback_func(progress: float, *args) -> None:
+        progress_bar.update(progress * 100 - progress_bar.n)
+
+    return progress_bar, _tqdm_progress_callback_func
+
+
+def gdal_translate_wrapper(
+    input_path: PathLike,
+    output_path: PathLike,
+    return_path: bool = True,
+    translate_format: GDALFormatsType | str = GDALNetCDFFormatStr,
+    use_tqdm_progress_bar: bool = True,
+    **kwargs,
+) -> Path | GDALDataset:
+    if use_tqdm_progress_bar:
+        progress_bar, progress_callback = _gen_progress_bar()
+        kwargs["callback"] = progress_callback
+    translation: GDALDataset = Translate(
+        destName=output_path, srcDS=input_path, format=translate_format, **kwargs
+    )
+    if use_tqdm_progress_bar:
+        progress_bar.close()
+    assert translation is not None
+    return Path(output_path) if return_path else translation
+
+
 def gdal_warp_wrapper(
     input_path: PathLike,
     output_path: PathLike,
@@ -823,8 +913,10 @@ def gdal_warp_wrapper(
     output_y_resolution: int | None = None,
     copy_metadata: bool = True,
     return_path: bool = True,
-    format: GDALFormatsType | str | None = GDALGeoTiffFormatStr,
+    format: GDALFormatsType | str | None = GDALNetCDFFormatStr,
     multithread: bool = True,
+    warp_dict_options: dict[str, str | float] | None = DEFAULT_WARP_DICT_OPTIONS,
+    use_tqdm_progress_bar: bool = True,
     **kwargs,
 ) -> Path | GDALDataset:
     """Execute the `gdalwrap` function within `python`.
@@ -846,9 +938,8 @@ def gdal_warp_wrapper(
         Path with `CPRUK` files to resample. `srcDSOrSrcDSTab` in
         `Warp`.
     output_path
-        Path to save resampled `input_path` file(s) to. If equal to
-        `input_path` then the `overwrite` parameter is called.
-        `destNameOrDestDS` in `Warp`.
+        Path to save resampled `input_path` file(s) to `destNameOrDestDS`
+        in `Warp`.
     output_crs
         Coordinate system to convert `input_path` file(s) to.
         `dstSRS` in `WarpOptions`.
@@ -872,24 +963,42 @@ def gdal_warp_wrapper(
         Any additional parameters to pass to `WarpOption`.
     """
     Path(output_path).parent.mkdir(parents=True, exist_ok=True)
+    if use_tqdm_progress_bar:
+        progress_bar = tqdm(total=100)
+
+        def _tqdm_progress_callback_func(progress: float, *args) -> None:
+            progress_bar.update(progress * 100 - progress_bar.n)
+
     try:
         assert not Path(output_path).is_dir()
     except AssertionError:
         raise FileExistsError(f"Path exists as a directory: {output_path}")
-    if input_path == output_path:
-        kwargs["overwrite"] = True
-    warp_options: GDALWarpAppOptions = WarpOptions(
+    # if input_path == output_path:
+    #     kwargs["overwrite"] = True
+    # warp_dict_options: dict[str, Any] = {
+    #     'VARIABLES_AS_BANDS': 'YES',
+    #     'GDAL_NETCDF_VERIFY_DIMS': 'STRICT',
+    # }
+    # -oo VARIABLES_AS_BANDS=YES -oo GDAL_NETCDF_VERIFY_DIMS=STRICT
+    warp_config: GDALWarpAppOptions = WarpOptions(
         dstSRS=output_crs,
         format=format,
         xRes=output_x_resolution,
         yRes=output_y_resolution,
         copyMetadata=copy_metadata,
         multithread=multithread,
+        warpOptions=warp_dict_options,
+        callback=_tqdm_progress_callback_func if use_tqdm_progress_bar else None,
         **kwargs,
     )
+    # assert False
     projection: GDALDataset = Warp(
-        destNameOrDestDS=output_path, srcDSOrSrcDSTab=input_path, options=warp_options
+        destNameOrDestDS=output_path, srcDSOrSrcDSTab=input_path, options=warp_config
     )
+    projection.FlushCache()
+    if use_tqdm_progress_bar:
+        progress_bar.close()
+
     assert projection is not None
     return output_path if return_path else projection
 
@@ -929,12 +1038,17 @@ def apply_geo_func(
         `GDALDataset` (the latter if `gdal_warp_wrapper` is used).
     **kwargs
         Other parameters passed to `func` call.
+
+    Returns
+    -------
+       Either a `Path` to generated file or converted `xarray` object.
     """
     if not source_path:
         raise ValueError(
             f"Source path must be a folder, currently '{source_path}'. "
             f"May need to mount drive."
         )
+    # Generate export_path following source_path name
     export_path: Path = Path(source_path)
     if new_path_name_func:
         export_path = new_path_name_func(export_path)
@@ -1031,6 +1145,7 @@ def generate_360_to_standard(array_to_expand: T_DataArray) -> T_DataArray:
 
     Examples
     --------
+    >>>
     """
     initial_days: int = len(array_to_expand)
     assert initial_days == 360
@@ -1114,3 +1229,124 @@ def cftime_range_gen(time_data_array: T_DataArray, **kwargs) -> NDArray:
 #     clip_box = transform(project, clip_box)
 #     clipped = grid.rio.clip([clip_box])
 #     return clipped
+
+
+# @dataclass
+# class IntermediateCPMFilesManager:
+#
+#     """Manage intermediate files and paths for CPM calendar projection.
+#     Parameters
+#     ----------
+#     variable_name
+#         Name of variable (e.g. `tasmax`). Included in file names.
+#     output_path
+#         Folder to save results to.
+#     subfolder_path
+#         Path to place intermediate files relative to output_path.
+#     time_series_start
+#         Start of time series covered to include in file name.
+#     time_series_end
+#         End of time series covered to include in file name.
+#     file_name_prefix
+#         str to add at the start of the output file names (after integers).
+#     subfolder_time_stamp
+#         Whether to include a time stamp in the subfolder file name.
+#     Examples
+#     --------
+#     >>> test_path = getfixture('tmp_path')
+#     >>> intermedate_files_manager: IntermediateCPMFilesManager = IntermediateCPMFilesManager(
+#     ...     file_name_prefix="test-1980",
+#     ...     variable_name="tasmax",
+#     ...     output_path=test_path / 'intermediate_test_folder',
+#     ...     subfolder_path='test_subfolder',
+#     ...     time_series_start=date(1980, 12, 1),
+#     ...     time_series_end=date(1981, 11, 30),
+#     ... )
+#     >>> str(intermedate_files_manager.output_path)
+#     '.../intermediate_test_folder'
+#     >>> str(intermedate_files_manager.intermediate_files_folder)
+#     '.../test_subfolder'
+#     >>> str(intermedate_files_manager.final_nc_path)
+#     '.../test_subfolder/3-test-1980-tasmax-19801201-19811130-cpm-365-or-366-27700-final.nc'
+#     """
+#
+#     variable_name: str
+#     output_path: Path | None
+#     time_series_start: datetime | date | Datetime360Day | DatetimeGregorian
+#     time_series_end: datetime | date | Datetime360Day | DatetimeGregorian
+#     subfolder_path: Path # = CPM_LOCAL_INTERMEDIATE_PATH
+#     file_name_prefix: str = ""
+#     subfolder_time_stamp: bool = False
+#
+#     def __post_init__(self) -> None:
+#         """Ensure `output_path`, `time_series_start/end` are set correctly."""
+#         self.output_path = Path(self.output_path) if self.output_path else Path()
+#         if self.output_path.suffix[1:] in GDALFormatExtensions.values():
+#             logger.info(
+#                 f"Output path is: '{str(self.output_path)}'\n"
+#                 "Putting intermediate files in parent directory."
+#             )
+#             self._passed_output_path = self.output_path
+#             self.output_path = self.output_path.parent
+#         if isinstance(self.time_series_start, Datetime360Day):
+#             self.time_series_start = cftime360_to_date(self.time_series_start)
+#         if isinstance(self.time_series_end, Datetime360Day):
+#             self.time_series_end = cftime360_to_date(self.time_series_end)
+#
+#     def __repr__(self):
+#         """Summary of config."""
+#         return (
+#             f"<IntermediateCPMFilesManager(output_path='{self.output_path}', "
+#             f"intermediate_files_folder='{self.intermediate_files_folder}')>"
+#         )
+#
+#     @property
+#     def date_range_to_str(self) -> str:
+#         return date_range_to_str(self.time_series_start, self.time_series_end)
+#
+#     @property
+#     def prefix_var_name_and_date(self) -> str:
+#         prefix: str = f"{self.variable_name}-{self.date_range_to_str}-"
+#         if self.file_name_prefix:
+#             return f"{self.file_name_prefix}-{prefix}"
+#         else:
+#             return prefix
+#
+#     @property
+#     def subfolder(self) -> Path:
+#         if self.subfolder_time_stamp:
+#             return Path(Path(self.subfolder_path).name + f"-{time_str()}")
+#         else:
+#             return self.subfolder_path
+#
+#     @property
+#     def intermediate_files_folder(self) -> Path:
+#         assert self.output_path
+#         path: Path = self.output_path / self.subfolder
+#         path.mkdir(exist_ok=True, parents=True)
+#         assert path.is_dir()
+#         return path
+#
+#     @property
+#     def intermediate_nc_path(self) -> Path:
+#         return self.intermediate_files_folder / (
+#             "0-" + self.prefix_var_name_and_date + CPM_365_OR_366_INTERMEDIATE_NC
+#         )
+#
+#     @property
+#     def simplified_nc_path(self) -> Path:
+#         return self.intermediate_files_folder / (
+#             "1-" + self.prefix_var_name_and_date + CPM_365_OR_366_SIMPLIFIED_NC
+#         )
+#
+#     @property
+#     def intermediate_warp_path(self) -> Path:
+#         return self.intermediate_files_folder / (
+#             "2-" + self.prefix_var_name_and_date + CPM_365_OR_366_27700_TIF
+#         )
+#
+#     @property
+#     def final_nc_path(self) -> Path:
+#         return self.intermediate_files_folder / (
+#             "3-" + self.prefix_var_name_and_date + CPM_365_OR_366_27700_FINAL
+#         )
diff --git a/python/conftest.py b/python/conftest.py
index 00c10c7d..f089ca06 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -285,7 +285,7 @@ def pytest_addoption(parser):
         "--use-async",
         action=BooleanOptionalAction,
         default=False,
-        help="Use asyc if --sync-all is used",
+        help="If --sync-all, use async calls",
     )
     parser.addoption(
         "--keep-results",
diff --git a/python/pdm.lock b/python/pdm.lock
index 526be200..acbeda83 100644
--- a/python/pdm.lock
+++ b/python/pdm.lock
@@ -4,8 +4,8 @@
 [metadata]
 groups = ["default", "dev"]
 strategy = ["cross_platform", "inherit_metadata"]
-lock_version = "4.4.1"
-content_hash = "sha256:edcd2288b6d61726de0d0f6c5a47e2e1317d77f386d29e1aa368a581246f43c0"
+lock_version = "4.4.2"
+content_hash = "sha256:b8b4cf2772bc66023bff5b3336356d406e83f0b6d33f59230169415f168caa70"
 
 [[package]]
 name = "affine"
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index b78c969a..31b46c06 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -34,6 +34,7 @@
     results_path,
 )
 from clim_recal.utils.data import HadUKGrid, UKCPLocalProjections
+from clim_recal.utils.gdal_formats import NETCDF_EXTENSION_STR
 from clim_recal.utils.xarray import (
     FINAL_RESAMPLE_LAT_COL,
     FINAL_RESAMPLE_LON_COL,
@@ -447,18 +448,33 @@ def test_cpm_xarray_to_standard_calendar(
 @pytest.mark.mount
 @pytest.mark.slow
 def test_cpm_reproject_with_standard_calendar(
-    tasmax_cpm_1980_raw: T_Dataset,
+    tasmax_cpm_1980_raw_path: Path,
     test_runs_output_path: Path,
     variable_name: str = "tasmax",
 ) -> None:
     """Test all steps around calendar and warping CPM RAW data."""
+    # output_path: Path = results_path(
+    #     "test-cpm-warp", path=test_runs_output_path, mkdir=True, extension=TIF_EXTENSION_STR
+    # )
     output_path: Path = results_path(
-        "test-cpm-warp", path=test_runs_output_path, mkdir=True, extension="nc"
+        "test-cpm-warp",
+        path=test_runs_output_path,
+        mkdir=True,
+        extension=NETCDF_EXTENSION_STR,
     )
     plot_path: Path = output_path.parent / (output_path.stem + ".png")
+    # coords_reprojected: Path = gdal_warp_wrapper(
+    #     input_path=tasmax_cpm_1980_raw_path,
+    #     output_path=output_path,
+    #     format=GDALGeoTiffFormatStr)
+    # coords_reprojected: Path = gdal_warp_wrapper(
+    #     input_path=tasmax_cpm_1980_raw_path,
+    #     output_path=output_path,
+    #     format=GDALNetCDFFormatStr)
     projected: T_Dataset = cpm_reproject_with_standard_calendar(
-        tasmax_cpm_1980_raw,
+        tasmax_cpm_1980_raw_path,
     )
+    assert False
     assert projected.rio.crs == BRITISH_NATIONAL_GRID_EPSG
     projected.to_netcdf(output_path)
     results: T_Dataset = open_dataset(output_path, decode_coords="all")

From 2d1aed6f45c4c336e5f0018d468523e7983c9603 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 16 Jul 2024 15:48:22 +0100
Subject: [PATCH 35/92] feat: add `GDAL_CACHEMAX: 20%` for CPM
 `gdal_translation`

---
 python/clim_recal/utils/xarray.py | 69 ++++++++++++++++++++-----------
 1 file changed, 44 insertions(+), 25 deletions(-)

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index a22ee647..5b1aa94f 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -240,6 +240,7 @@ def cpm_reproject_with_standard_calendar(
     assert isinstance(cpm_xr_time_series, PathLike)
     # tmp_output = Path(temp_cpm_projection) / ((variable_name or 'var') + NETCDF_EXTENSION_STR)
     # tmp_output.parent.mkdir(exist_ok=True, parents=True)
+    # assert False
     reprojected_path: Path = gdal_warp_wrapper(
         cpm_xr_time_series,
         output_path=temp_output,
@@ -247,7 +248,7 @@ def cpm_reproject_with_standard_calendar(
         # format=GDALNetCDFFormatStr,
         # format=GDALGeoTiffFormatStr,
     )
-    # translated_result_path: Path =
+    # assert False
     translated_path = Path(temp_path) / (
         (variable_name or "var") + "_translated-prog-bar." + NETCDF_EXTENSION_STR
     )
@@ -256,37 +257,44 @@ def cpm_reproject_with_standard_calendar(
         input_path=reprojected_path,
         output_path=translated_path,
         return_path=False,
-        format=GDALNetCDFFormatStr,
     )
+    # translate_format=GDALNetCDFFormatStr)
     # translated_results = Translate(
     #     destName=translated_temp_path,
     #     srcDS=reprojected_path,
     #     format=GDALNetCDFFormatStr)
-    # reprojected_cpm_xr_time_series, check_variable_name = check_xarray_path_and_var_name(
-    #     reprojected_path, variable_name
-    # )
-
-    standard_calendar_ts: T_Dataset = cpm_xarray_to_standard_calendar(
-        reprojected_cpm_xr_time_series
-    )
-    subset_within_ensemble: T_Dataset = Dataset(
-        {variable_name: standard_calendar_ts[variable_name][0]}
+    reprojected_cpm_xr_time_series, _ = check_xarray_path_and_var_name(
+        translated_path, variable_name
     )
 
-    subset_in_epsg_27700: T_DataArray = xr_reproject_crs(
-        subset_within_ensemble,
-        variable_name=variable_name,
-        x_dim_name=x_dim_name,
-        y_dim_name=y_dim_name,
-        resolution=(CPM_RESOLUTION_METERS, CPM_RESOLUTION_METERS),
+    standard_calendar_ts: T_Dataset = convert_xr_calendar(
+        reprojected_cpm_xr_time_series, interpolate_na=True
     )
-    try:
-        assert (subset_in_epsg_27700.time == standard_calendar_ts.time).all()
-    except:
-        raise ValueError(
-            f"Time series of 'standard_calendar_ts' does not match time series of projection to {BRITISH_NATIONAL_GRID_EPSG}."
-        )
-    return subset_in_epsg_27700
+    return standard_calendar_ts
+    # subset_within_ensemble: T_Dataset = Dataset(
+    #     {variable_name: standard_calendar_ts[variable_name][0]}
+    # )
+
+    # subset_in_epsg_27700: T_DataArray = xr_reproject_crs(
+    #     subset_within_ensemble,
+    #     variable_name=variable_name,
+    #     x_dim_name=x_dim_name,
+    #     y_dim_name=y_dim_name,
+    #     resolution=(CPM_RESOLUTION_METERS, CPM_RESOLUTION_METERS),
+    # )
+    # try:
+    #     assert (subset_in_epsg_27700.time == standard_calendar_ts.time).all()
+    # except:
+    #     raise ValueError(
+    #         f"Time series of 'standard_calendar_ts' does not match time series of projection to {BRITISH_NATIONAL_GRID_EPSG}."
+    #     )
+    # try:
+    #     assert (subset_in_epsg_27700.time == standard_calendar_ts.time).all()
+    # except:
+    #     raise ValueError(
+    #         f"Time series of 'standard_calendar_ts' does not match time series of projection to {BRITISH_NATIONAL_GRID_EPSG}."
+    #     )
+    # return subset_in_epsg_27700
 
 
 def xr_reproject_crs(
@@ -875,6 +883,10 @@ def interpolate_xr_ts_nans(
     "GDAL_NETCDF_VERIFY_DIMS": "STRICT",
 }
 
+DEFAULT_TRANSLATE_DICT_OPTIONS: dict[str, str | float] = {
+    "GDAL_CACHEMAX": "20%",
+}
+
 
 def _gen_progress_bar() -> tuple[tqdm, Callable[float, ...]]:
     progress_bar: tqdm = tqdm(total=100)
@@ -889,6 +901,8 @@ def gdal_translate_wrapper(
     input_path: PathLike,
     output_path: PathLike,
     return_path: bool = True,
+    metadat_options_dict: dict[str, str | float]
+    | None = DEFAULT_TRANSLATE_DICT_OPTIONS,
     translate_format: GDALFormatsType | str = GDALNetCDFFormatStr,
     use_tqdm_progress_bar: bool = True,
     **kwargs,
@@ -897,9 +911,14 @@ def gdal_translate_wrapper(
         progress_bar, progress_callback = _gen_progress_bar()
         kwargs["callback"] = progress_callback
     translation: GDALDataset = Translate(
-        destName=output_path, srcDS=input_path, format=translate_format, **kwargs
+        destName=output_path,
+        srcDS=input_path,
+        format=translate_format,
+        metadataOptions=metadat_options_dict,
+        **kwargs,
     )
     if use_tqdm_progress_bar:
+        translation.FlushCache()
         progress_bar.close()
     assert translation is not None
     return Path(output_path) if return_path else translation

From ee1d3e55009ecfa89eb2e5eaf2756897230f05ea Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 16 Jul 2024 18:05:50 +0100
Subject: [PATCH 36/92] fix: use `tif` format as CPM intermediate before
 `gdal_translate`

---
 python/clim_recal/utils/xarray.py | 18 +++++-------------
 python/tests/test_resample.py     |  6 +++---
 2 files changed, 8 insertions(+), 16 deletions(-)

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 5b1aa94f..83add85a 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -46,10 +46,10 @@
 )
 from .gdal_formats import (
     NETCDF_EXTENSION_STR,
-    VIRTUAL_EXTENSION_STR,
+    TIF_EXTENSION_STR,
     GDALFormatsType,
+    GDALGeoTiffFormatStr,
     GDALNetCDFFormatStr,
-    GDALVirtualFormatStr,
 )
 
 logger = getLogger(__name__)
@@ -225,7 +225,7 @@ def cpm_reproject_with_standard_calendar(
     # temp_output = Path(temp_path) / ((variable_name or 'var') + '_projected.' + NETCDF_EXTENSION_STR)
     # temp_output = Path(temp_path) / ((variable_name or 'var') + '_projected.' + TIF_EXTENSION_STR)
     temp_output = Path(temp_path) / (
-        (variable_name or "var") + "_projected." + VIRTUAL_EXTENSION_STR
+        (variable_name or "var") + "_projected." + TIF_EXTENSION_STR
     )
     temp_output.parent.mkdir(exist_ok=True, parents=True)
     if isinstance(cpm_xr_time_series, Dataset):
@@ -244,15 +244,14 @@ def cpm_reproject_with_standard_calendar(
     reprojected_path: Path = gdal_warp_wrapper(
         cpm_xr_time_series,
         output_path=temp_output,
-        format=GDALVirtualFormatStr,
+        # format=GDALVirtualFormatStr,
         # format=GDALNetCDFFormatStr,
-        # format=GDALGeoTiffFormatStr,
+        format=GDALGeoTiffFormatStr,
     )
     # assert False
     translated_path = Path(temp_path) / (
         (variable_name or "var") + "_translated-prog-bar." + NETCDF_EXTENSION_STR
     )
-    assert False
     translated_results: GDALDataset | Path = gdal_translate_wrapper(
         input_path=reprojected_path,
         output_path=translated_path,
@@ -883,10 +882,6 @@ def interpolate_xr_ts_nans(
     "GDAL_NETCDF_VERIFY_DIMS": "STRICT",
 }
 
-DEFAULT_TRANSLATE_DICT_OPTIONS: dict[str, str | float] = {
-    "GDAL_CACHEMAX": "20%",
-}
-
 
 def _gen_progress_bar() -> tuple[tqdm, Callable[float, ...]]:
     progress_bar: tqdm = tqdm(total=100)
@@ -901,8 +896,6 @@ def gdal_translate_wrapper(
     input_path: PathLike,
     output_path: PathLike,
     return_path: bool = True,
-    metadat_options_dict: dict[str, str | float]
-    | None = DEFAULT_TRANSLATE_DICT_OPTIONS,
     translate_format: GDALFormatsType | str = GDALNetCDFFormatStr,
     use_tqdm_progress_bar: bool = True,
     **kwargs,
@@ -914,7 +907,6 @@ def gdal_translate_wrapper(
         destName=output_path,
         srcDS=input_path,
         format=translate_format,
-        metadataOptions=metadat_options_dict,
         **kwargs,
     )
     if use_tqdm_progress_bar:
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 31b46c06..bc8c68a8 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -71,8 +71,8 @@
 
 # FINAL_CONVERTED_CPM_WIDTH: Final[int] = 410
 # FINAL_CONVERTED_CPM_HEIGHT: Final[int] = 660
-FINAL_CONVERTED_CPM_WIDTH: Final[int] = 529
-FINAL_CONVERTED_CPM_HEIGHT: Final[int] = 653
+FINAL_CONVERTED_CPM_WIDTH: Final[int] = 493
+FINAL_CONVERTED_CPM_HEIGHT: Final[int] = 607
 
 FINAL_CONVERTED_HADS_WIDTH: Final[int] = 410
 FINAL_CONVERTED_HADS_HEIGHT: Final[int] = 660
@@ -474,7 +474,6 @@ def test_cpm_reproject_with_standard_calendar(
     projected: T_Dataset = cpm_reproject_with_standard_calendar(
         tasmax_cpm_1980_raw_path,
     )
-    assert False
     assert projected.rio.crs == BRITISH_NATIONAL_GRID_EPSG
     projected.to_netcdf(output_path)
     results: T_Dataset = open_dataset(output_path, decode_coords="all")
@@ -482,6 +481,7 @@ def test_cpm_reproject_with_standard_calendar(
     assert results.dims == {
         FINAL_RESAMPLE_LON_COL: FINAL_CONVERTED_CPM_WIDTH,
         FINAL_RESAMPLE_LAT_COL: FINAL_CONVERTED_CPM_HEIGHT,
+        "ensemble_member": 1,
         "time": 365,
     }
     assert results.rio.crs == BRITISH_NATIONAL_GRID_EPSG

From 5cb9ee8696544af9ef2dccfd42797f74a6ab956d Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 16 Jul 2024 19:30:29 +0100
Subject: [PATCH 37/92] fix: remove `ensemble_member` index in
 `cpm_reproject_with_standard_calendar`

---
 python/clim_recal/utils/xarray.py | 46 +++----------------------------
 python/tests/test_resample.py     | 34 ++++++++---------------
 2 files changed, 16 insertions(+), 64 deletions(-)

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 83add85a..bc6f38e5 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -215,15 +215,6 @@ def cpm_reproject_with_standard_calendar(
     >>> tasmax_cpm_1980_365_day.dims
     FrozenMappingWarningOnValuesAccess({'x': 529, 'y': 653, 'time': 365})
     """
-    # _, variable_name = check_xarray_path_and_var_name(
-    #     cpm_xr_time_series, variable_name
-    # )
-    # cpm_xr_time_series, variable_name = check_xarray_path_and_var_name(
-    #     cpm_xr_time_series, variable_name
-    # )
-    # cpm_xr_time_series
-    # temp_output = Path(temp_path) / ((variable_name or 'var') + '_projected.' + NETCDF_EXTENSION_STR)
-    # temp_output = Path(temp_path) / ((variable_name or 'var') + '_projected.' + TIF_EXTENSION_STR)
     temp_output = Path(temp_path) / (
         (variable_name or "var") + "_projected." + TIF_EXTENSION_STR
     )
@@ -238,9 +229,6 @@ def cpm_reproject_with_standard_calendar(
         xr_time_series_instance.to_netcdf(cpm_xr_time_series)
         # xr_time_series_instance.to_raster(cpm_xr_time_series)
     assert isinstance(cpm_xr_time_series, PathLike)
-    # tmp_output = Path(temp_cpm_projection) / ((variable_name or 'var') + NETCDF_EXTENSION_STR)
-    # tmp_output.parent.mkdir(exist_ok=True, parents=True)
-    # assert False
     reprojected_path: Path = gdal_warp_wrapper(
         cpm_xr_time_series,
         output_path=temp_output,
@@ -257,43 +245,17 @@ def cpm_reproject_with_standard_calendar(
         output_path=translated_path,
         return_path=False,
     )
-    # translate_format=GDALNetCDFFormatStr)
-    # translated_results = Translate(
-    #     destName=translated_temp_path,
-    #     srcDS=reprojected_path,
-    #     format=GDALNetCDFFormatStr)
     reprojected_cpm_xr_time_series, _ = check_xarray_path_and_var_name(
         translated_path, variable_name
     )
+    reprojected_dropped_ensemble_member = reprojected_cpm_xr_time_series.squeeze(
+        "ensemble_member"
+    ).drop("ensemble_member")
 
     standard_calendar_ts: T_Dataset = convert_xr_calendar(
-        reprojected_cpm_xr_time_series, interpolate_na=True
+        reprojected_dropped_ensemble_member, interpolate_na=True
     )
     return standard_calendar_ts
-    # subset_within_ensemble: T_Dataset = Dataset(
-    #     {variable_name: standard_calendar_ts[variable_name][0]}
-    # )
-
-    # subset_in_epsg_27700: T_DataArray = xr_reproject_crs(
-    #     subset_within_ensemble,
-    #     variable_name=variable_name,
-    #     x_dim_name=x_dim_name,
-    #     y_dim_name=y_dim_name,
-    #     resolution=(CPM_RESOLUTION_METERS, CPM_RESOLUTION_METERS),
-    # )
-    # try:
-    #     assert (subset_in_epsg_27700.time == standard_calendar_ts.time).all()
-    # except:
-    #     raise ValueError(
-    #         f"Time series of 'standard_calendar_ts' does not match time series of projection to {BRITISH_NATIONAL_GRID_EPSG}."
-    #     )
-    # try:
-    #     assert (subset_in_epsg_27700.time == standard_calendar_ts.time).all()
-    # except:
-    #     raise ValueError(
-    #         f"Time series of 'standard_calendar_ts' does not match time series of projection to {BRITISH_NATIONAL_GRID_EPSG}."
-    #     )
-    # return subset_in_epsg_27700
 
 
 def xr_reproject_crs(
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index bc8c68a8..c9d87554 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -118,18 +118,18 @@
 )
 
 
-FINAL_CPM_DEC_10_5_X_0_10_Y: Final[NDArray] = np.array(
+FINAL_CPM_DEC_10_X_2_Y_200_210: Final[NDArray] = np.array(
     (
         np.nan,
         np.nan,
-        np.nan,
-        np.nan,
-        np.nan,
-        np.nan,
-        5.131494,
-        5.091943,
-        5.091943,
-        5.057275,
+        9.637598,
+        9.646631,
+        9.636621,
+        9.622217,
+        9.625147,
+        9.640039,
+        9.6349125,
+        9.509668,
     )
 )
 
@@ -453,9 +453,6 @@ def test_cpm_reproject_with_standard_calendar(
     variable_name: str = "tasmax",
 ) -> None:
     """Test all steps around calendar and warping CPM RAW data."""
-    # output_path: Path = results_path(
-    #     "test-cpm-warp", path=test_runs_output_path, mkdir=True, extension=TIF_EXTENSION_STR
-    # )
     output_path: Path = results_path(
         "test-cpm-warp",
         path=test_runs_output_path,
@@ -463,14 +460,6 @@ def test_cpm_reproject_with_standard_calendar(
         extension=NETCDF_EXTENSION_STR,
     )
     plot_path: Path = output_path.parent / (output_path.stem + ".png")
-    # coords_reprojected: Path = gdal_warp_wrapper(
-    #     input_path=tasmax_cpm_1980_raw_path,
-    #     output_path=output_path,
-    #     format=GDALGeoTiffFormatStr)
-    # coords_reprojected: Path = gdal_warp_wrapper(
-    #     input_path=tasmax_cpm_1980_raw_path,
-    #     output_path=output_path,
-    #     format=GDALNetCDFFormatStr)
     projected: T_Dataset = cpm_reproject_with_standard_calendar(
         tasmax_cpm_1980_raw_path,
     )
@@ -481,12 +470,13 @@ def test_cpm_reproject_with_standard_calendar(
     assert results.dims == {
         FINAL_RESAMPLE_LON_COL: FINAL_CONVERTED_CPM_WIDTH,
         FINAL_RESAMPLE_LAT_COL: FINAL_CONVERTED_CPM_HEIGHT,
-        "ensemble_member": 1,
         "time": 365,
     }
     assert results.rio.crs == BRITISH_NATIONAL_GRID_EPSG
     assert len(results.data_vars) == 1
-    assert_allclose(results[variable_name][10][5][:10], FINAL_CPM_DEC_10_5_X_0_10_Y)
+    assert_allclose(
+        results[variable_name][10][2][200:210], FINAL_CPM_DEC_10_X_2_Y_200_210
+    )
     plot_xarray(results.tasmax[0], plot_path, time_stamp=True)
 
 

From 1bd2272803a871a1a8dddbd5a5388f926f9202e9 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 16 Jul 2024 22:09:08 +0100
Subject: [PATCH 38/92] feat: refactor `cpm_xarray_to_standard_calendar` via
 `NamedTemporaryFile`

---
 python/clim_recal/utils/xarray.py | 220 ++++++------------------------
 1 file changed, 42 insertions(+), 178 deletions(-)

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index bc6f38e5..92ceafb3 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -2,6 +2,7 @@
 from logging import getLogger
 from os import PathLike
 from pathlib import Path
+from tempfile import NamedTemporaryFile, _TemporaryFileWrapper
 from typing import Any, Callable, Final
 
 import numpy as np
@@ -79,6 +80,12 @@
 FINAL_RESAMPLE_LAT_COL: Final[str] = "y"
 
 
+DEFAULT_WARP_DICT_OPTIONS: dict[str, str | float] = {
+    "VARIABLES_AS_BANDS": "YES",
+    "GDAL_NETCDF_VERIFY_DIMS": "STRICT",
+}
+
+
 def cpm_xarray_to_standard_calendar(
     cpm_xr_time_series: T_Dataset | PathLike, include_bnds_index: bool = False
 ) -> T_Dataset:
@@ -165,9 +172,7 @@ def check_xarray_path_and_var_name(
 def cpm_reproject_with_standard_calendar(
     cpm_xr_time_series: T_Dataset | PathLike,
     variable_name: str | None = None,
-    x_dim_name: str = CPM_RAW_X_COLUMN_NAME,
-    y_dim_name: str = CPM_RAW_Y_COLUMN_NAME,
-    temp_path: PathLike = "temp_cpm_projection",
+    close_temp_paths: bool = True,
 ) -> T_Dataset:
     """Convert raw `cpm_xr_time_series` to an 365/366 days and 27700 coords.
 
@@ -197,15 +202,24 @@ def cpm_reproject_with_standard_calendar(
     ...     cpm_xr_time_series=tasmax_cpm_1980_raw,
     ...     variable_name="tasmax")
     >>> tasmax_cpm_1980_365_day
-    <xarray.Dataset> Size: 504MB
-    Dimensions:      (x: 529, y: 653, time: 365)
+    <xarray.Dataset>...
+    Dimensions:              (time: 365, x: 493, y: 607)
     Coordinates:
-      * x            (x) float64 4kB -3.129e+05 -3.107e+05 ... 8.465e+05 8.487e+05
-      * y            (y) float64 5kB 1.197e+06 1.195e+06 ... -2.353e+05 -2.375e+05
-      * time         (time) datetime64[ns] 3kB 1980-12-01T12:00:00 ... 1981-11-30...
-        spatial_ref  int64 8B 0
+      * time                 (time) datetime64[ns] 1980-12-01T12:00:00 ... 1981-1...
+      * x                    (x) float64 -3.136e+05 -3.112e+05 ... 8.513e+05
+      * y                    (y) float64 -2.371e+05 -2.348e+05 ... 1.198e+06
+        transverse_mercator  |S1 ...
+        spatial_ref          int64 0
     Data variables:
-        tasmax       (time, y, x) float32 504MB 3.403e+38 3.403e+38 ... 3.403e+38
+        tasmax               (time, y, x) float32 nan nan nan nan ... nan nan nan
+    Attributes: (12/18)
+        GDAL_AREA_OR_POINT:  Area
+        collection:          land-cpm
+        contact:             ukcpproject@metoffice.gov.uk
+        Conventions:         CF-1.7
+        creation_date:       2021-05-11T14:06:30
+        domain:              uk
+        ...                  ...
     >>> tasmax_cpm_1980_raw.dims
     FrozenMappingWarningOnValuesAccess({'ensemble_member': 1,
                                         'time': 360,
@@ -213,40 +227,31 @@ def cpm_reproject_with_standard_calendar(
                                         'grid_longitude': 484,
                                         'bnds': 2})
     >>> tasmax_cpm_1980_365_day.dims
-    FrozenMappingWarningOnValuesAccess({'x': 529, 'y': 653, 'time': 365})
+    FrozenMappingWarningOnValuesAccess({'time': 365, 'x': 493, 'y': 607})
     """
-    temp_output = Path(temp_path) / (
-        (variable_name or "var") + "_projected." + TIF_EXTENSION_STR
+    temp_cpm: _TemporaryFileWrapper = NamedTemporaryFile(
+        suffix="." + NETCDF_EXTENSION_STR
+    )
+    temp_tif: _TemporaryFileWrapper = NamedTemporaryFile(suffix="." + TIF_EXTENSION_STR)
+    temp_translated_ncf: _TemporaryFileWrapper = NamedTemporaryFile(
+        suffix="." + NETCDF_EXTENSION_STR
     )
-    temp_output.parent.mkdir(exist_ok=True, parents=True)
     if isinstance(cpm_xr_time_series, Dataset):
         xr_time_series_instance: T_Dataset = cpm_xr_time_series
-        cpm_xr_time_series = temp_output.parent / (
-            (variable_name or "var") + "_copy." + NETCDF_EXTENSION_STR
-        )
-        # cpm_xr_time_series = temp_output.parent / ((variable_name or 'var') + '_copy.' + TIF_EXTENSION_STR)
-
+        cpm_xr_time_series = temp_cpm.name
         xr_time_series_instance.to_netcdf(cpm_xr_time_series)
-        # xr_time_series_instance.to_raster(cpm_xr_time_series)
     assert isinstance(cpm_xr_time_series, PathLike)
-    reprojected_path: Path = gdal_warp_wrapper(
+    gdal_warp_wrapper(
         cpm_xr_time_series,
-        output_path=temp_output,
-        # format=GDALVirtualFormatStr,
-        # format=GDALNetCDFFormatStr,
+        output_path=Path(temp_tif.name),
         format=GDALGeoTiffFormatStr,
     )
-    # assert False
-    translated_path = Path(temp_path) / (
-        (variable_name or "var") + "_translated-prog-bar." + NETCDF_EXTENSION_STR
-    )
-    translated_results: GDALDataset | Path = gdal_translate_wrapper(
-        input_path=reprojected_path,
-        output_path=translated_path,
-        return_path=False,
+    gdal_translate_wrapper(
+        input_path=Path(temp_tif.name),
+        output_path=Path(temp_translated_ncf.name),
     )
     reprojected_cpm_xr_time_series, _ = check_xarray_path_and_var_name(
-        translated_path, variable_name
+        Path(temp_translated_ncf.name), variable_name
     )
     reprojected_dropped_ensemble_member = reprojected_cpm_xr_time_series.squeeze(
         "ensemble_member"
@@ -255,6 +260,10 @@ def cpm_reproject_with_standard_calendar(
     standard_calendar_ts: T_Dataset = convert_xr_calendar(
         reprojected_dropped_ensemble_member, interpolate_na=True
     )
+    if close_temp_paths:
+        temp_cpm.close()
+        temp_tif.close()
+        temp_translated_ncf.close()
     return standard_calendar_ts
 
 
@@ -839,12 +848,6 @@ def interpolate_xr_ts_nans(
         return interpolated_ts
 
 
-DEFAULT_WARP_DICT_OPTIONS: dict[str, str | float] = {
-    "VARIABLES_AS_BANDS": "YES",
-    "GDAL_NETCDF_VERIFY_DIMS": "STRICT",
-}
-
-
 def _gen_progress_bar() -> tuple[tqdm, Callable[float, ...]]:
     progress_bar: tqdm = tqdm(total=100)
 
@@ -946,13 +949,6 @@ def _tqdm_progress_callback_func(progress: float, *args) -> None:
         assert not Path(output_path).is_dir()
     except AssertionError:
         raise FileExistsError(f"Path exists as a directory: {output_path}")
-    # if input_path == output_path:
-    #     kwargs["overwrite"] = True
-    # warp_dict_options: dict[str, Any] = {
-    #     'VARIABLES_AS_BANDS': 'YES',
-    #     'GDAL_NETCDF_VERIFY_DIMS': 'STRICT',
-    # }
-    # -oo VARIABLES_AS_BANDS=YES -oo GDAL_NETCDF_VERIFY_DIMS=STRICT
     warp_config: GDALWarpAppOptions = WarpOptions(
         dstSRS=output_crs,
         format=format,
@@ -964,7 +960,6 @@ def _tqdm_progress_callback_func(progress: float, *args) -> None:
         callback=_tqdm_progress_callback_func if use_tqdm_progress_bar else None,
         **kwargs,
     )
-    # assert False
     projection: GDALDataset = Warp(
         destNameOrDestDS=output_path, srcDSOrSrcDSTab=input_path, options=warp_config
     )
@@ -1192,134 +1187,3 @@ def cftime_range_gen(time_data_array: T_DataArray, **kwargs) -> NDArray:
     )
     time_bnds_fix_range_end: CFTimeIndex = time_bnds_fix_range_start + timedelta(days=1)
     return np.array((time_bnds_fix_range_start, time_bnds_fix_range_end)).T
-
-
-# def tansform_lat_lng_bounding_box(bbox: tuple[float, float] | BoundsTupleType):
-#     # clip_box = box(*bbox)
-#     wgs84 = pyproj.CRS('EPSG:4326')
-#     brit_grid = pyproj.CRS('EPSG:27700')
-#     project = pyproj.Transformer.from_crs(wgs84, brit_grid, always_xy=True).transform
-#     clip_box = transform(project, clip_box)
-#     clipped = grid.rio.clip([clip_box])
-#     return clipped
-
-
-# @dataclass
-# class IntermediateCPMFilesManager:
-#
-#     """Manage intermediate files and paths for CPM calendar projection.
-#     Parameters
-#     ----------
-#     variable_name
-#         Name of variable (e.g. `tasmax`). Included in file names.
-#     output_path
-#         Folder to save results to.
-#     subfolder_path
-#         Path to place intermediate files relative to output_path.
-#     time_series_start
-#         Start of time series covered to include in file name.
-#     time_series_end
-#         End of time series covered to include in file name.
-#     file_name_prefix
-#         str to add at the start of the output file names (after integers).
-#     subfolder_time_stamp
-#         Whether to include a time stamp in the subfolder file name.
-#     Examples
-#     --------
-#     >>> test_path = getfixture('tmp_path')
-#     >>> intermedate_files_manager: IntermediateCPMFilesManager = IntermediateCPMFilesManager(
-#     ...     file_name_prefix="test-1980",
-#     ...     variable_name="tasmax",
-#     ...     output_path=test_path / 'intermediate_test_folder',
-#     ...     subfolder_path='test_subfolder',
-#     ...     time_series_start=date(1980, 12, 1),
-#     ...     time_series_end=date(1981, 11, 30),
-#     ... )
-#     >>> str(intermedate_files_manager.output_path)
-#     '.../intermediate_test_folder'
-#     >>> str(intermedate_files_manager.intermediate_files_folder)
-#     '.../test_subfolder'
-#     >>> str(intermedate_files_manager.final_nc_path)
-#     '.../test_subfolder/3-test-1980-tasmax-19801201-19811130-cpm-365-or-366-27700-final.nc'
-#     """
-#
-#     variable_name: str
-#     output_path: Path | None
-#     time_series_start: datetime | date | Datetime360Day | DatetimeGregorian
-#     time_series_end: datetime | date | Datetime360Day | DatetimeGregorian
-#     subfolder_path: Path # = CPM_LOCAL_INTERMEDIATE_PATH
-#     file_name_prefix: str = ""
-#     subfolder_time_stamp: bool = False
-#
-#     def __post_init__(self) -> None:
-#         """Ensure `output_path`, `time_series_start/end` are set correctly."""
-#         self.output_path = Path(self.output_path) if self.output_path else Path()
-#         if self.output_path.suffix[1:] in GDALFormatExtensions.values():
-#             logger.info(
-#                 f"Output path is: '{str(self.output_path)}'\n"
-#                 "Putting intermediate files in parent directory."
-#             )
-#             self._passed_output_path = self.output_path
-#             self.output_path = self.output_path.parent
-#         if isinstance(self.time_series_start, Datetime360Day):
-#             self.time_series_start = cftime360_to_date(self.time_series_start)
-#         if isinstance(self.time_series_end, Datetime360Day):
-#             self.time_series_end = cftime360_to_date(self.time_series_end)
-#
-#     def __repr__(self):
-#         """Summary of config."""
-#         return (
-#             f"<IntermediateCPMFilesManager(output_path='{self.output_path}', "
-#             f"intermediate_files_folder='{self.intermediate_files_folder}')>"
-#         )
-#
-#     @property
-#     def date_range_to_str(self) -> str:
-#         return date_range_to_str(self.time_series_start, self.time_series_end)
-#
-#     @property
-#     def prefix_var_name_and_date(self) -> str:
-#         prefix: str = f"{self.variable_name}-{self.date_range_to_str}-"
-#         if self.file_name_prefix:
-#             return f"{self.file_name_prefix}-{prefix}"
-#         else:
-#             return prefix
-#
-#     @property
-#     def subfolder(self) -> Path:
-#         if self.subfolder_time_stamp:
-#             return Path(Path(self.subfolder_path).name + f"-{time_str()}")
-#         else:
-#             return self.subfolder_path
-#
-#     @property
-#     def intermediate_files_folder(self) -> Path:
-#         assert self.output_path
-#         path: Path = self.output_path / self.subfolder
-#         path.mkdir(exist_ok=True, parents=True)
-#         assert path.is_dir()
-#         return path
-#
-#     @property
-#     def intermediate_nc_path(self) -> Path:
-#         return self.intermediate_files_folder / (
-#             "0-" + self.prefix_var_name_and_date + CPM_365_OR_366_INTERMEDIATE_NC
-#         )
-#
-#     @property
-#     def simplified_nc_path(self) -> Path:
-#         return self.intermediate_files_folder / (
-#             "1-" + self.prefix_var_name_and_date + CPM_365_OR_366_SIMPLIFIED_NC
-#         )
-#
-#     @property
-#     def intermediate_warp_path(self) -> Path:
-#         return self.intermediate_files_folder / (
-#             "2-" + self.prefix_var_name_and_date + CPM_365_OR_366_27700_TIF
-#         )
-#
-#     @property
-#     def final_nc_path(self) -> Path:
-#         return self.intermediate_files_folder / (
-#             "3-" + self.prefix_var_name_and_date + CPM_365_OR_366_27700_FINAL
-#         )

From d71f89768694369a61f7fde7c9af8ce9f8e50fb5 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Wed, 17 Jul 2024 15:29:07 +0100
Subject: [PATCH 39/92] feat: add `resampling_method` to `VariableOptions`

---
 python/clim_recal/utils/data.py | 36 +++++++++++++++++++++++++++++++--
 1 file changed, 34 insertions(+), 2 deletions(-)

diff --git a/python/clim_recal/utils/data.py b/python/clim_recal/utils/data.py
index 78081b01..cb2fa241 100644
--- a/python/clim_recal/utils/data.py
+++ b/python/clim_recal/utils/data.py
@@ -2,9 +2,10 @@
 from typing import Collection, Union, Callable, Any, Literal, Final, Iterable
 from os import PathLike
 from datetime import date
-from enum import auto
+from enum import auto, IntEnum
 from pathlib import Path
 
+from rasterio.enums import Resampling
 from xarray.backends.api import ENGINES
 
 from .core import StrEnumReprName
@@ -127,12 +128,43 @@ def rioxarry_epsg(self) -> str:
 )
 
 class VariableOptions(StrEnumReprName):
-    """Supported options for variables"""
+    """Supported variables options and related configuration."""
 
     TASMAX = auto()
     RAINFALL = auto()
     TASMIN = auto()
 
+    @classmethod
+    def _method_dict(cls) -> dict[str, IntEnum]:
+        """Return the preferred aggregation method for each option."""
+        return {
+            cls.TASMAX: Resampling.max,
+            cls.RAINFALL: Resampling.max,
+            cls.TASMIN: Resampling.min,
+        }
+
+    @classmethod
+    def resampling_method(cls, variable: str) -> IntEnum:
+        """Return resampling method for `variable`.
+        
+        Parameters
+        ----------
+        variable
+            `VariableOptions` attribute to query resampling method from.
+
+        Returns
+        -------
+        Value to access related resampling method.
+
+        Examples
+        --------
+        >>> VariableOptions.resampling_method('rainfall')
+        <Resampling.max: 8>
+        >>> VariableOptions.resampling_method('tasmin')
+        <Resampling.min: 9>
+        """
+        return cls._method_dict()[variable.lower()]
+
     @classmethod
     def cpm_value(cls, variable: str) -> str:
         """Return `CPM` value equivalent of `variable`.

From a1838291592ed88ba3f07ad9282745c84ac8f128 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Fri, 19 Jul 2024 14:10:40 +0100
Subject: [PATCH 40/92] feat: add `_ensumre_resample_method_name` and allow
 `None` to bypass reprojection

---
 python/clim_recal/utils/data.py   | 22 +++++++++++++----
 python/clim_recal/utils/xarray.py | 41 +++++++++++++++++++++++++++++--
 2 files changed, 56 insertions(+), 7 deletions(-)

diff --git a/python/clim_recal/utils/data.py b/python/clim_recal/utils/data.py
index cb2fa241..814cec12 100644
--- a/python/clim_recal/utils/data.py
+++ b/python/clim_recal/utils/data.py
@@ -2,7 +2,7 @@
 from typing import Collection, Union, Callable, Any, Literal, Final, Iterable
 from os import PathLike
 from datetime import date
-from enum import auto, IntEnum
+from enum import auto
 from pathlib import Path
 
 from rasterio.enums import Resampling
@@ -14,6 +14,8 @@
 BRITISH_NATION_GRID_COORDS_NUMBER: Final[int] = 27700
 BRITISH_NATIONAL_GRID_EPSG: Final[str] = f"EPSG:{BRITISH_NATION_GRID_COORDS_NUMBER}"
 
+DEFAULT_RESAMPLING_METHOD: Final[Resampling] = Resampling.bilinear
+
 AuthorshipType = Union[
     str | tuple[str, ...], dict[str, str] |
     dict[str, dict[str, str]] | dict[str, Collection[str]]
@@ -135,17 +137,25 @@ class VariableOptions(StrEnumReprName):
     TASMIN = auto()
 
     @classmethod
-    def _method_dict(cls) -> dict[str, IntEnum]:
+    def default_resample_method(cls) -> Resampling:
+        """Default resampling method."""
+        return DEFAULT_RESAMPLING_METHOD
+
+
+    @classmethod
+    def _method_dict(cls) -> dict[str, Resampling]:
         """Return the preferred aggregation method for each option."""
         return {
-            cls.TASMAX: Resampling.max,
+            cls.TASMAX: Resampling.near,
             cls.RAINFALL: Resampling.max,
             cls.TASMIN: Resampling.min,
         }
 
     @classmethod
-    def resampling_method(cls, variable: str) -> IntEnum:
+    def resampling_method(cls, variable: str | None) -> Resampling:
         """Return resampling method for `variable`.
+
+        For details see: https://rasterio.readthedocs.io/en/stable/api/rasterio.enums.html#rasterio.enums.Resampling
         
         Parameters
         ----------
@@ -162,8 +172,10 @@ def resampling_method(cls, variable: str) -> IntEnum:
         <Resampling.max: 8>
         >>> VariableOptions.resampling_method('tasmin')
         <Resampling.min: 9>
+        >>> VariableOptions.resampling_method(None)
+        <Resampling.bilinear: 1>
         """
-        return cls._method_dict()[variable.lower()]
+        return cls._method_dict()[variable.lower()] if variable else cls.default_resample_method()
 
     @classmethod
     def cpm_value(cls, variable: str) -> str:
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 92ceafb3..fc7c9c11 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -15,6 +15,7 @@
 from osgeo.gdal import Dataset as GDALDataset
 from osgeo.gdal import GDALWarpAppOptions, Translate, Warp, WarpOptions
 from pandas import DatetimeIndex, date_range
+from rasterio.enums import Resampling
 from tqdm import tqdm
 from xarray import CFTimeIndex, DataArray, Dataset, cftime_range, open_dataset
 from xarray.coding.calendar_ops import convert_calendar
@@ -37,12 +38,14 @@
     DEFAULT_CALENDAR_ALIGN,
     DEFAULT_INTERPOLATION_METHOD,
     DEFAULT_RELATIVE_GRID_DATA_PATH,
+    DEFAULT_RESAMPLING_METHOD,
     GLASGOW_GEOM_LOCAL_PATH,
     NETCDF4_XARRAY_ENGINE,
     TIME_COLUMN_NAME,
     BoundingBoxCoords,
     CFCalendarSTANDARD,
     ConvertCalendarAlignOptions,
+    VariableOptions,
     XArrayEngineType,
 )
 from .gdal_formats import (
@@ -245,10 +248,14 @@ def cpm_reproject_with_standard_calendar(
         cpm_xr_time_series,
         output_path=Path(temp_tif.name),
         format=GDALGeoTiffFormatStr,
+        # Leaving this if further projection is needed
+        # resampling_method=VariableOptions.resampling_method(variable=variable_name).name,
     )
     gdal_translate_wrapper(
         input_path=Path(temp_tif.name),
         output_path=Path(temp_translated_ncf.name),
+        # Leaving this if further projection is needed
+        # resampling_method=VariableOptions.resampling_method(variable=variable_name).name,
     )
     reprojected_cpm_xr_time_series, _ = check_xarray_path_and_var_name(
         Path(temp_translated_ncf.name), variable_name
@@ -277,6 +284,7 @@ def xr_reproject_crs(
     match_xr_time_series: T_Dataset | PathLike | None = None,
     match_xr_time_series_load_func: Callable | None = None,
     match_xr_time_series_load_kwargs: dict[str, Any] | None = None,
+    resampling_method: Resampling = DEFAULT_RESAMPLING_METHOD,
     **kwargs,
 ) -> T_Dataset:
     """Reproject `source_xr` to `target_xr` coordinate structure.
@@ -296,6 +304,8 @@ def xr_reproject_crs(
         Inferred if `None` assuming only one `data_var` attribute.
     final_crs
         Coordinate system `str` to project `xr_time_series` to.
+    resampling_method
+        `rasterio` resampling method to apply.
 
     Examples
     --------
@@ -369,15 +379,37 @@ def xr_reproject_crs(
             else:
                 raise ValueError("Can't match dim names.")
         without_attributes_reprojected = without_attributes.rio.reproject_match(
-            match_xr_time_series, **kwargs
+            match_xr_time_series, resampling=resampling_method.name, **kwargs
         )
     else:
         without_attributes_reprojected: T_DataArray = without_attributes.rio.reproject(
-            final_crs, **kwargs
+            final_crs, resampling=resampling_method.name, **kwargs
         )
     return Dataset({variable_name: without_attributes_reprojected})
 
 
+def _ensure_resample_method_name(
+    method: str | Resampling, allow_none: bool = True
+) -> str | None:
+    """Ensure the correct method name `str` is returned."""
+
+    def error_message(method: str) -> str:
+        return f"Method '{method}' not a valid GDAL 'Resampling' method."
+
+    if isinstance(method, str):
+        try:
+            assert method in Resampling.__members__
+        except KeyError:
+            raise KeyError(error_message(method))
+        return method
+    elif isinstance(method, Resampling):
+        return method.name
+    elif method is None:
+        return None
+    else:
+        raise ValueError(error_message(method))
+
+
 def interpolate_coords(
     xr_time_series: T_Dataset,
     variable_name: str,
@@ -489,6 +521,7 @@ def hads_resample_and_reproject(
         y_dim_name=y_dim_name,
         match_xr_time_series=cpm_to_match,
         match_xr_time_series_load_func=cpm_to_match_func,
+        resampling_method=VariableOptions.resampling_method(variable_name)
         # match_xr_time_series_load_kwargs=dict(variable_name=variable_name),
     )
     return epsg_277000_2_2km
@@ -863,6 +896,7 @@ def gdal_translate_wrapper(
     return_path: bool = True,
     translate_format: GDALFormatsType | str = GDALNetCDFFormatStr,
     use_tqdm_progress_bar: bool = True,
+    resampling_method: Resampling | None = None,
     **kwargs,
 ) -> Path | GDALDataset:
     if use_tqdm_progress_bar:
@@ -872,6 +906,7 @@ def gdal_translate_wrapper(
         destName=output_path,
         srcDS=input_path,
         format=translate_format,
+        resampleAlg=_ensure_resample_method_name(resampling_method),
         **kwargs,
     )
     if use_tqdm_progress_bar:
@@ -893,6 +928,7 @@ def gdal_warp_wrapper(
     multithread: bool = True,
     warp_dict_options: dict[str, str | float] | None = DEFAULT_WARP_DICT_OPTIONS,
     use_tqdm_progress_bar: bool = True,
+    resampling_method: Resampling | None = None,
     **kwargs,
 ) -> Path | GDALDataset:
     """Execute the `gdalwrap` function within `python`.
@@ -957,6 +993,7 @@ def _tqdm_progress_callback_func(progress: float, *args) -> None:
         copyMetadata=copy_metadata,
         multithread=multithread,
         warpOptions=warp_dict_options,
+        resampleAlg=_ensure_resample_method_name(resampling_method),
         callback=_tqdm_progress_callback_func if use_tqdm_progress_bar else None,
         **kwargs,
     )

From 82b5ff8aa7d607e9f96e8f452a87305fbcd2cb6d Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Fri, 19 Jul 2024 14:17:27 +0100
Subject: [PATCH 41/92] fix: resampling config for `rainfall` and `tasmax`

---
 python/clim_recal/utils/data.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/python/clim_recal/utils/data.py b/python/clim_recal/utils/data.py
index 814cec12..342d674b 100644
--- a/python/clim_recal/utils/data.py
+++ b/python/clim_recal/utils/data.py
@@ -146,8 +146,8 @@ def default_resample_method(cls) -> Resampling:
     def _method_dict(cls) -> dict[str, Resampling]:
         """Return the preferred aggregation method for each option."""
         return {
-            cls.TASMAX: Resampling.near,
-            cls.RAINFALL: Resampling.max,
+            cls.TASMAX: Resampling.max,
+            cls.RAINFALL: Resampling.bilinear,
             cls.TASMIN: Resampling.min,
         }
 

From dff84a9284db47099b1c70ab7b43c6b73f3e0c72 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Fri, 19 Jul 2024 15:37:27 +0100
Subject: [PATCH 42/92] fix: `VariableOptions.resampling_method` `doctest` and
 `conda-lock.yml`

---
 .conda-linux-64.lock            |  280 +--
 conda-lock.yml                  | 3961 ++++++++++++++++---------------
 python/clim_recal/utils/data.py |    2 +-
 3 files changed, 2212 insertions(+), 2031 deletions(-)

diff --git a/.conda-linux-64.lock b/.conda-linux-64.lock
index 69111042..8a98e587 100644
--- a/.conda-linux-64.lock
+++ b/.conda-linux-64.lock
@@ -4,146 +4,131 @@
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diff --git a/conda-lock.yml b/conda-lock.yml
index 2906e9c6..8c427402 100644
--- a/conda-lock.yml
+++ b/conda-lock.yml
@@ -481,16 +481,17 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
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-    aws-c-common: '>=0.9.19,<0.9.20.0a0'
-    aws-c-http: '>=0.8.1,<0.8.2.0a0'
-    aws-c-io: '>=0.14.8,<0.14.9.0a0'
+    __glibc: '>=2.17,<3.0.a0'
+    aws-c-cal: '>=0.7.1,<0.7.2.0a0'
+    aws-c-common: '>=0.9.23,<0.9.24.0a0'
+    aws-c-http: '>=0.8.2,<0.8.3.0a0'
+    aws-c-io: '>=0.14.10,<0.14.11.0a0'
     aws-c-sdkutils: '>=0.1.16,<0.1.17.0a0'
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+  url: https://repo.anaconda.com/pkgs/main/linux-64/chardet-4.0.0-py312h06a4308_1003.conda
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     python: '>=3.8'
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     python: '>=3.8'
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     python: '>=3.8'
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-  url: https://conda.anaconda.org/conda-forge/noarch/geopandas-0.14.4-pyhd8ed1ab_0.conda
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   category: main
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-  url: https://repo.anaconda.com/pkgs/main/linux-64/scipy-1.13.0-py312h2809609_0.conda
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-  url: https://repo.anaconda.com/pkgs/main/linux-aarch64/scipy-1.13.0-py312hdb1dca2_0.conda
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-  url: https://repo.anaconda.com/pkgs/main/osx-arm64/scipy-1.13.0-py312hfa28a95_0.conda
+  url: https://repo.anaconda.com/pkgs/main/osx-arm64/scipy-1.13.1-py312ha409365_0.conda
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+  version: 1.2.1
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     libstdcxx-ng: '>=12'
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+  url: https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-ha2e4443_0.conda
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+  version: 1.2.1
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     libcxx: '>=16'
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   category: main
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+- name: socksio
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+  url: https://conda.anaconda.org/conda-forge/noarch/socksio-1.0.0-pyhd8ed1ab_0.conda
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@@ -13543,47 +13651,48 @@ package:
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+  version: 3.31.1
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+    libgcc-ng: '>=7.3.0'
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   dependencies:
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   platform: osx-arm64
   dependencies:
@@ -14760,10 +14838,10 @@ package:
     pyopenssl: '>=0.14'
     pysocks: '>=1.5.6,<2.0,!=1.5.7'
     python: '>=3.12,<3.13.0a0'
-  url: https://repo.anaconda.com/pkgs/main/osx-arm64/urllib3-1.26.18-py312hca03da5_0.conda
+  url: https://repo.anaconda.com/pkgs/main/osx-arm64/urllib3-1.26.19-py312hca03da5_0.conda
   hash:
-    md5: 81139007524f09d0db162b8a2cebe0f7
-    sha256: dc043e6203bf9a50eba8f5a880b88e328461b79cf8098c26bad9eb4522969087
+    md5: 7995162c9d14f7ba7a4cac7f6d7a104b
+    sha256: e7a214ae50a26578bb902abb3b11415f912ec601fe398cf364f700a0bcc944c6
   category: main
   optional: false
 - name: virtualenv
@@ -15008,15 +15086,16 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    icu: '>=73.2,<74.0a0'
-    libcurl: '>=8.5.0,<9.0a0'
+    __glibc: '>=2.17,<3.0.a0'
+    icu: '>=75.1,<76.0a0'
+    libcurl: '>=8.8.0,<9.0a0'
     libgcc-ng: '>=12'
     libnsl: '>=2.0.1,<2.1.0a0'
     libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/xerces-c-3.2.5-hac6953d_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/xerces-c-3.2.5-h666cd97_1.conda
   hash:
-    md5: 63b80ca78d29380fe69e69412dcbe4ac
-    sha256: 75d06ca406f03f653d7a3183f2a1ccfdb3a3c6c830493933ec4c3c98e06a32bb
+    md5: 97e8ef960a53cf08f2c4ceec8cf9e10d
+    sha256: ae917685dc70a66800216343eef82f14a508cbad27e71d4caf17fcbda9e8b2d0
   category: main
   optional: false
 - name: xerces-c
@@ -15024,15 +15103,15 @@ package:
   manager: conda
   platform: linux-aarch64
   dependencies:
-    icu: '>=73.2,<74.0a0'
-    libcurl: '>=8.5.0,<9.0a0'
+    icu: '>=75.1,<76.0a0'
+    libcurl: '>=8.8.0,<9.0a0'
     libgcc-ng: '>=12'
     libnsl: '>=2.0.1,<2.1.0a0'
     libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/xerces-c-3.2.5-hf13c1fb_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/xerces-c-3.2.5-h76197be_1.conda
   hash:
-    md5: 5c6a84e179f9fc7f8e0890c28704a8ce
-    sha256: 6e64e9dc8d9f8bee4bdef16e946be658da3744e40fdd5ca881ac2219a1aba479
+    md5: c3b0932526560ba8ab3ed324eaeabc79
+    sha256: bb4b6cffe1fe81f28a9c470df597f2543148f37e0e98764c2b777dd0557fd9dc
   category: main
   optional: false
 - name: xerces-c
@@ -15040,13 +15119,14 @@ package:
   manager: conda
   platform: osx-arm64
   dependencies:
-    icu: '>=73.2,<74.0a0'
-    libcurl: '>=8.5.0,<9.0a0'
-    libcxx: '>=15'
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/xerces-c-3.2.5-hf393695_0.conda
+    __osx: '>=11.0'
+    icu: '>=75.1,<76.0a0'
+    libcurl: '>=8.8.0,<9.0a0'
+    libcxx: '>=16'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/xerces-c-3.2.5-h0a46525_1.conda
   hash:
-    md5: 5e4741a1e687aee5fc9c409a0476bef2
-    sha256: 8ad901a5fe535ebd16b469cf8e46cf174f7e6e4d9b432cc8cc02666a87e7e2ee
+    md5: efab20c557a133ad1760f085af7b1bfa
+    sha256: a68b3a96251891310b769b30a64038b37536dead8c2303f9442589f1737e2fdb
   category: main
   optional: false
 - name: xorg-kbproto
@@ -15131,14 +15211,14 @@ package:
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
-    libxcb: '>=1.15,<1.16.0a0'
+    libxcb: '>=1.16,<1.17.0a0'
     xorg-kbproto: ''
     xorg-xextproto: '>=7.3.0,<8.0a0'
     xorg-xproto: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.9-h8ee46fc_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.9-hb711507_1.conda
   hash:
-    md5: 077b6e8ad6a3ddb741fce2496dd01bec
-    sha256: 3e53ba247f1ad68353f18aceba5bf8ce87e3dea930de85d36946844a7658c9fb
+    md5: 4a6d410296d7e39f00bacdee7df046e9
+    sha256: 66eabe62b66c1597c4a755dcd3f4ce2c78adaf7b32e25dfee45504d67d7735c1
   category: main
   optional: false
 - name: xorg-libx11
@@ -15147,14 +15227,38 @@ package:
   platform: linux-aarch64
   dependencies:
     libgcc-ng: '>=12'
-    libxcb: '>=1.15,<1.16.0a0'
+    libxcb: '>=1.16,<1.17.0a0'
     xorg-kbproto: ''
     xorg-xextproto: '>=7.3.0,<8.0a0'
     xorg-xproto: ''
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/xorg-libx11-1.8.9-h055a233_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/xorg-libx11-1.8.9-h08be655_1.conda
+  hash:
+    md5: 66470f69e83673153ef02a2ebc018915
+    sha256: 3595f5a30d1fecf2a8b8639eebf9ba831e3b76eef25820b806468fa670ef9d62
+  category: main
+  optional: false
+- name: xorg-libxau
+  version: 1.0.11
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hd590300_0.conda
+  hash:
+    md5: 2c80dc38fface310c9bd81b17037fee5
+    sha256: 309751371d525ce50af7c87811b435c176915239fc9e132b99a25d5e1703f2d4
+  category: main
+  optional: false
+- name: xorg-libxau
+  version: 1.0.11
+  manager: conda
+  platform: linux-aarch64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/xorg-libxau-1.0.11-h31becfc_0.conda
   hash:
-    md5: d5f0529d3568a2ce38a9aed44a9a8029
-    sha256: fe6adc8f0ab7ea026b8ccd5c8c8843e5a01f49bcd193eacec9af1626f0db1194
+    md5: 13de34f69cb73165dbe08c1e9148bedb
+    sha256: c00a8909e783ba7f4ada7256f0385ae46fc21322f4090fa396c80b4481abd5f4
   category: main
   optional: false
 - name: xorg-libxau
@@ -15168,6 +15272,30 @@ package:
     sha256: 02c313a1cada46912e5b9bdb355cfb4534bfe22143b4ea4ecc419690e793023b
   category: main
   optional: false
+- name: xorg-libxdmcp
+  version: 1.1.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=9.3.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.3-h7f98852_0.tar.bz2
+  hash:
+    md5: be93aabceefa2fac576e971aef407908
+    sha256: 4df7c5ee11b8686d3453e7f3f4aa20ceef441262b49860733066c52cfd0e4a77
+  category: main
+  optional: false
+- name: xorg-libxdmcp
+  version: 1.1.3
+  manager: conda
+  platform: linux-aarch64
+  dependencies:
+    libgcc-ng: '>=9.3.0'
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/xorg-libxdmcp-1.1.3-h3557bc0_0.tar.bz2
+  hash:
+    md5: a6c9016ae1ca5c47a3603ed4cd65fedd
+    sha256: 2aad9a0b57796170b8fb40317598fd79cfc7ae27fa7fb68c417d815e44499d59
+  category: main
+  optional: false
 - name: xorg-libxdmcp
   version: 1.1.3
   manager: conda
@@ -15526,42 +15654,91 @@ package:
   category: main
   optional: false
 - name: zlib
-  version: 1.2.13
+  version: 1.3.1
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
-    libzlib: 1.2.13
-  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.13-h4ab18f5_6.conda
+    libzlib: 1.3.1
+  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-h4ab18f5_1.conda
   hash:
-    md5: 559d338a4234c2ad6e676f460a093e67
-    sha256: 534824ea44939f3e59ca8ebb95e3ece6f50f9d2a0e69999fbc692311252ed6ac
+    md5: 9653f1bf3766164d0e65fa723cabbc54
+    sha256: cee16ab07a11303de721915f0a269e8c7a54a5c834aa52f74b1cc3a59000ade8
   category: main
   optional: false
 - name: zlib
-  version: 1.2.13
+  version: 1.3.1
   manager: conda
   platform: linux-aarch64
   dependencies:
     libgcc-ng: '>=12'
-    libzlib: 1.2.13
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/zlib-1.2.13-h68df207_6.conda
+    libzlib: 1.3.1
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/zlib-1.3.1-h68df207_1.conda
   hash:
-    md5: 11012f81be8e7dae8495df7ec17c0cc5
-    sha256: 67d2e05bb76308ad2e6d8bd27d54e5f8d866d7900826a13f22b66ecacce02fed
+    md5: 6031f9e32654fbdb9fdba406ab980517
+    sha256: 7d4f12a602447c00f65f99fcf332f350cc49161a4f215466e9eb1bbe51852978
   category: main
   optional: false
 - name: zlib
-  version: 1.2.13
+  version: 1.3.1
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    __osx: '>=11.0'
+    libzlib: 1.3.1
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.3.1-hfb2fe0b_1.conda
+  hash:
+    md5: f27e021db7862b6ddbc1d3578f10d883
+    sha256: 87360c2dc662916aac37cf01e53324b4f4f78db6f399220818076752b093ede5
+  category: main
+  optional: false
+- name: zstandard
+  version: 0.23.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    cffi: '>=1.11'
+    libgcc-ng: '>=12'
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+    zstd: '>=1.5.6,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312h3483029_0.conda
+  hash:
+    md5: eab52e88c858d87cf5a069f79d10bb50
+    sha256: 7e1e105ea7eab2af591faebf743ff2493f53c313079e316419577925e4492b03
+  category: main
+  optional: false
+- name: zstandard
+  version: 0.23.0
+  manager: conda
+  platform: linux-aarch64
+  dependencies:
+    cffi: '>=1.11'
+    libgcc-ng: '>=12'
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+    zstd: '>=1.5.6,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/zstandard-0.23.0-py312h9fc3309_0.conda
+  hash:
+    md5: 1903935398241d9772c260a4d0ee5bc3
+    sha256: 65c201c2f3e120c57e2c2eae8fb30254fbe249adb2df0a3073ce4b30fd3004ca
+  category: main
+  optional: false
+- name: zstandard
+  version: 0.23.0
   manager: conda
   platform: osx-arm64
   dependencies:
     __osx: '>=11.0'
-    libzlib: 1.2.13
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.2.13-hfb2fe0b_6.conda
+    cffi: '>=1.11'
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+    zstd: '>=1.5.6,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py312h721a963_0.conda
   hash:
-    md5: 88cf27df3eff5813734b538461f4c8cf
-    sha256: c09c9cb6de86d87b9267a6331c74cc8fb05bae5ee7749070a5e8883c3eff5424
+    md5: caf7f5b85615a132c0fa586b82bd59e6
+    sha256: 6fc0d2f7a0a49a7c1453bb9eacd5456214b6cf000760067d72f0cce464975fa1
   category: main
   optional: false
 - name: zstd
diff --git a/python/clim_recal/utils/data.py b/python/clim_recal/utils/data.py
index 342d674b..de9a38f7 100644
--- a/python/clim_recal/utils/data.py
+++ b/python/clim_recal/utils/data.py
@@ -169,7 +169,7 @@ def resampling_method(cls, variable: str | None) -> Resampling:
         Examples
         --------
         >>> VariableOptions.resampling_method('rainfall')
-        <Resampling.max: 8>
+        <Resampling.bilinear: 1>
         >>> VariableOptions.resampling_method('tasmin')
         <Resampling.min: 9>
         >>> VariableOptions.resampling_method(None)

From 1e3b3a4e5ceac56981db2b4e2203d4a2b8aa177d Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Fri, 19 Jul 2024 17:23:03 +0100
Subject: [PATCH 43/92] fix(test): fix `--local-cache` test options and add
 `--skip-cropping` `cli` option

---
 python/clim_recal/cli.py          |  2 ++
 python/clim_recal/pipeline.py     |  3 ++-
 python/clim_recal/utils/xarray.py | 36 +++++++++++--------------------
 python/conftest.py                | 20 +++++++++++++----
 4 files changed, 33 insertions(+), 28 deletions(-)

diff --git a/python/clim_recal/cli.py b/python/clim_recal/cli.py
index 2089e0bc..856476c7 100644
--- a/python/clim_recal/cli.py
+++ b/python/clim_recal/cli.py
@@ -50,6 +50,7 @@ def pipeline(
     skip_hads_projection: Annotated[
         bool, typer.Option("--skip-hads-projection")
     ] = False,
+    skip_cropping: Annotated[bool, typer.Option("--skip-cropping")] = True,
     execute: Annotated[bool, typer.Option("--execute")] = False,
     start_index: Annotated[int, typer.Option("--start-index", "-s", min=0)] = 0,
     total: Annotated[int, typer.Option("--total-from-index", "-t", min=0)] = 0,
@@ -69,6 +70,7 @@ def pipeline(
         execute=execute,
         skip_cpm_standard_calendar_projection=skip_cpm_projection,
         skip_hads_spatial_2k_projection=skip_hads_projection,
+        skip_cropping=skip_cropping,
         start_index=start_index,
         total=total,
         multiprocess=multiprocess,
diff --git a/python/clim_recal/pipeline.py b/python/clim_recal/pipeline.py
index 75f9ae8c..0fc4fd4c 100644
--- a/python/clim_recal/pipeline.py
+++ b/python/clim_recal/pipeline.py
@@ -166,6 +166,7 @@ def main(
     all_methods: bool = False,
     skip_cpm_standard_calendar_projection: bool = False,
     skip_hads_spatial_2k_projection: bool = False,
+    skip_cropping: bool = True,
     crop_cpm: bool = False,
     crop_hads: bool = False,
     cpus: int | None = None,
@@ -288,7 +289,7 @@ def main(
                 multiprocess=multiprocess, cpus=cpus
             )
             print(hads_resamplers[:print_range_length])
-        if skip_cropping:
+        if skip_cropping or (not crop_cpm and not crop_hads):
             print("Skipping cropping.")
         else:
             if skip_cpm_standard_calendar_projection and not crop_cpm:
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index fc7c9c11..09855dec 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -205,32 +205,20 @@ def cpm_reproject_with_standard_calendar(
     ...     cpm_xr_time_series=tasmax_cpm_1980_raw,
     ...     variable_name="tasmax")
     >>> tasmax_cpm_1980_365_day
-    <xarray.Dataset>...
+    <xarray.Dataset>
     Dimensions:              (time: 365, x: 493, y: 607)
     Coordinates:
-      * time                 (time) datetime64[ns] 1980-12-01T12:00:00 ... 1981-1...
-      * x                    (x) float64 -3.136e+05 -3.112e+05 ... 8.513e+05
-      * y                    (y) float64 -2.371e+05 -2.348e+05 ... 1.198e+06
-        transverse_mercator  |S1 ...
-        spatial_ref          int64 0
+      * time                 (time) datetime64[ns]...
+      * x                    (x) float64...
+      * y                    (y) float64...
+        transverse_mercator  |S1...
+        spatial_ref          int64...
     Data variables:
-        tasmax               (time, y, x) float32 nan nan nan nan ... nan nan nan
+        tasmax               (time, y, x) float32...
     Attributes: (12/18)
-        GDAL_AREA_OR_POINT:  Area
-        collection:          land-cpm
-        contact:             ukcpproject@metoffice.gov.uk
-        Conventions:         CF-1.7
-        creation_date:       2021-05-11T14:06:30
-        domain:              uk
-        ...                  ...
-    >>> tasmax_cpm_1980_raw.dims
-    FrozenMappingWarningOnValuesAccess({'ensemble_member': 1,
-                                        'time': 360,
-                                        'grid_latitude': 606,
-                                        'grid_longitude': 484,
-                                        'bnds': 2})
+        ...
     >>> tasmax_cpm_1980_365_day.dims
-    FrozenMappingWarningOnValuesAccess({'time': 365, 'x': 493, 'y': 607})
+    Frozen...({'time': 365, 'x': 493, 'y': 607})
     """
     temp_cpm: _TemporaryFileWrapper = NamedTemporaryFile(
         suffix="." + NETCDF_EXTENSION_STR
@@ -243,7 +231,7 @@ def cpm_reproject_with_standard_calendar(
         xr_time_series_instance: T_Dataset = cpm_xr_time_series
         cpm_xr_time_series = temp_cpm.name
         xr_time_series_instance.to_netcdf(cpm_xr_time_series)
-    assert isinstance(cpm_xr_time_series, PathLike)
+    assert isinstance(cpm_xr_time_series, PathLike | str)
     gdal_warp_wrapper(
         cpm_xr_time_series,
         output_path=Path(temp_tif.name),
@@ -882,7 +870,9 @@ def interpolate_xr_ts_nans(
 
 
 def _gen_progress_bar() -> tuple[tqdm, Callable[float, ...]]:
-    progress_bar: tqdm = tqdm(total=100)
+    progress_bar: tqdm = tqdm(
+        total=100, bar_format="{desc}: {percentage:3.2f}%|{bar}{r_bar}"
+    )
 
     def _tqdm_progress_callback_func(progress: float, *args) -> None:
         progress_bar.update(progress * 100 - progress_bar.n)
diff --git a/python/conftest.py b/python/conftest.py
index f089ca06..effd5aa5 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -162,9 +162,15 @@ def local_cache_fixtures(
 @pytest.fixture(scope="session")
 def tasmax_cpm_1980_raw(
     local_cache: bool,
+    local_cpm_cache_path: Path,
     local_cache_fixtures: LocalCachesManager,
-) -> T_Dataset:
-    return local_cache_fixtures["tasmax_cpm_1980_raw"].read(cache_path=local_cache)
+) -> T_Dataset | None:
+    if local_cache:
+        return local_cache_fixtures["tasmax_cpm_1980_raw"].read(
+            cache_path=local_cpm_cache_path
+        )
+    else:
+        return None
 
 
 @pytest.fixture(scope="session")
@@ -181,9 +187,15 @@ def tasmax_cpm_1980_raw_path(
 @pytest.fixture(scope="session")
 def tasmax_hads_1980_raw(
     local_cache: bool,
+    local_hads_cache_path: Path,
     local_cache_fixtures: LocalCachesManager,
 ) -> T_Dataset | None:
-    return local_cache_fixtures["tasmax_hads_1980_raw"].read(cache_path=local_cache)
+    if local_cache:
+        return local_cache_fixtures["tasmax_hads_1980_raw"].read(
+            cache_path=local_hads_cache_path
+        )
+    else:
+        return None
 
 
 @pytest.fixture(scope="session")
@@ -272,7 +284,7 @@ def pytest_addoption(parser):
     parser.addoption(
         "--local-cache",
         action=BooleanOptionalAction,
-        default=True,
+        default=False,
         help="use 'local_cache' data fixtures",
     )
     parser.addoption(

From 81ecbac32b47d1029caa2c146b6548a02d648959 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Fri, 19 Jul 2024 19:39:40 +0100
Subject: [PATCH 44/92] feat: add ` _progress_bar_file_description` and use
 `tqdm.richer` for `gdal`

---
 python/clim_recal/utils/xarray.py | 89 ++++++++++++++++++++++++-------
 1 file changed, 71 insertions(+), 18 deletions(-)

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 09855dec..b9483e43 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -13,10 +13,18 @@
 from numpy import ndarray
 from numpy.typing import NDArray
 from osgeo.gdal import Dataset as GDALDataset
-from osgeo.gdal import GDALWarpAppOptions, Translate, Warp, WarpOptions
+from osgeo.gdal import (
+    GDALTranslateOptions,
+    GDALWarpAppOptions,
+    Translate,
+    TranslateOptions,
+    Warp,
+    WarpOptions,
+)
+from osgeo.gdal import config_option as config_GDAL_option
 from pandas import DatetimeIndex, date_range
 from rasterio.enums import Resampling
-from tqdm import tqdm
+from tqdm.rich import tqdm
 from xarray import CFTimeIndex, DataArray, Dataset, cftime_range, open_dataset
 from xarray.coding.calendar_ops import convert_calendar
 from xarray.core.types import (
@@ -88,6 +96,8 @@
     "GDAL_NETCDF_VERIFY_DIMS": "STRICT",
 }
 
+TQDM_FILE_NAME_PRINT_CHARS_INDEX: Final[int] = -7
+
 
 def cpm_xarray_to_standard_calendar(
     cpm_xr_time_series: T_Dataset | PathLike, include_bnds_index: bool = False
@@ -204,6 +214,8 @@ def cpm_reproject_with_standard_calendar(
     >>> tasmax_cpm_1980_365_day: T_Dataset = cpm_reproject_with_standard_calendar(
     ...     cpm_xr_time_series=tasmax_cpm_1980_raw,
     ...     variable_name="tasmax")
+    Warp:      ...nc 100% ...
+    Translate: ...tif 100% ...
     >>> tasmax_cpm_1980_365_day
     <xarray.Dataset>
     Dimensions:              (time: 365, x: 493, y: 607)
@@ -869,10 +881,17 @@ def interpolate_xr_ts_nans(
         return interpolated_ts
 
 
-def _gen_progress_bar() -> tuple[tqdm, Callable[float, ...]]:
-    progress_bar: tqdm = tqdm(
-        total=100, bar_format="{desc}: {percentage:3.2f}%|{bar}{r_bar}"
-    )
+def _progress_bar_file_description(
+    input_path: PathLike,
+    prefix: str = "",
+    tqdm_file_name_chars: int = TQDM_FILE_NAME_PRINT_CHARS_INDEX,
+    suffix: str = "",
+) -> str:
+    return f"{prefix}{Path(input_path).name[tqdm_file_name_chars:]}{suffix}"
+
+
+def _gen_progress_bar(description: str = "") -> tuple[tqdm, Callable[..., None]]:
+    progress_bar: tqdm = tqdm(total=100, desc=description)
 
     def _tqdm_progress_callback_func(progress: float, *args) -> None:
         progress_bar.update(progress * 100 - progress_bar.n)
@@ -886,19 +905,38 @@ def gdal_translate_wrapper(
     return_path: bool = True,
     translate_format: GDALFormatsType | str = GDALNetCDFFormatStr,
     use_tqdm_progress_bar: bool = True,
+    tqdm_file_name_chars: int = TQDM_FILE_NAME_PRINT_CHARS_INDEX,
     resampling_method: Resampling | None = None,
+    supress_warnings: bool = True,
     **kwargs,
 ) -> Path | GDALDataset:
     if use_tqdm_progress_bar:
-        progress_bar, progress_callback = _gen_progress_bar()
+        description: str = _progress_bar_file_description(
+            input_path=input_path,
+            prefix="Translate: ",
+            tqdm_file_name_chars=tqdm_file_name_chars,
+        )
+        progress_bar, progress_callback = _gen_progress_bar(description=description)
         kwargs["callback"] = progress_callback
-    translation: GDALDataset = Translate(
-        destName=output_path,
-        srcDS=input_path,
+    translate_options: GDALTranslateOptions = TranslateOptions(
         format=translate_format,
         resampleAlg=_ensure_resample_method_name(resampling_method),
         **kwargs,
     )
+    translation: GDALDataset
+    if supress_warnings:
+        with config_GDAL_option("CPL_LOG", "gdal_warnings.log"):
+            translation = Translate(
+                destName=output_path,
+                srcDS=input_path,
+                options=translate_options,
+            )
+    else:
+        translation = Translate(
+            destName=output_path,
+            srcDS=input_path,
+            options=translate_options,
+        )
     if use_tqdm_progress_bar:
         translation.FlushCache()
         progress_bar.close()
@@ -918,7 +956,9 @@ def gdal_warp_wrapper(
     multithread: bool = True,
     warp_dict_options: dict[str, str | float] | None = DEFAULT_WARP_DICT_OPTIONS,
     use_tqdm_progress_bar: bool = True,
+    tqdm_file_name_chars: int = TQDM_FILE_NAME_PRINT_CHARS_INDEX,
     resampling_method: Resampling | None = None,
+    supress_warnings: bool = True,
     **kwargs,
 ) -> Path | GDALDataset:
     """Execute the `gdalwrap` function within `python`.
@@ -966,10 +1006,13 @@ def gdal_warp_wrapper(
     """
     Path(output_path).parent.mkdir(parents=True, exist_ok=True)
     if use_tqdm_progress_bar:
-        progress_bar = tqdm(total=100)
-
-        def _tqdm_progress_callback_func(progress: float, *args) -> None:
-            progress_bar.update(progress * 100 - progress_bar.n)
+        description: str = _progress_bar_file_description(
+            input_path=input_path,
+            prefix="Warp:      ",
+            tqdm_file_name_chars=tqdm_file_name_chars,
+        )
+        progress_bar, progress_callback = _gen_progress_bar(description=description)
+        kwargs["callback"] = progress_callback
 
     try:
         assert not Path(output_path).is_dir()
@@ -984,12 +1027,22 @@ def _tqdm_progress_callback_func(progress: float, *args) -> None:
         multithread=multithread,
         warpOptions=warp_dict_options,
         resampleAlg=_ensure_resample_method_name(resampling_method),
-        callback=_tqdm_progress_callback_func if use_tqdm_progress_bar else None,
         **kwargs,
     )
-    projection: GDALDataset = Warp(
-        destNameOrDestDS=output_path, srcDSOrSrcDSTab=input_path, options=warp_config
-    )
+    projection: GDALDataset
+    if supress_warnings:
+        with config_GDAL_option("CPL_LOG", "gdal_warnings.log"):
+            projection = Warp(
+                destNameOrDestDS=output_path,
+                srcDSOrSrcDSTab=input_path,
+                options=warp_config,
+            )
+    else:
+        projection = Warp(
+            destNameOrDestDS=output_path,
+            srcDSOrSrcDSTab=input_path,
+            options=warp_config,
+        )
     projection.FlushCache()
     if use_tqdm_progress_bar:
         progress_bar.close()

From 29d570f97811e97307e6abeec7113f60dc71c8b8 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Fri, 19 Jul 2024 19:47:53 +0100
Subject: [PATCH 45/92] fix(ci): remove `not localcache` from `github`
 `ci.yaml`

---
 .github/workflows/ci.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index 9f2a561f..f195451a 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -70,7 +70,7 @@ jobs:
 
       - name: Run Python Tests
         run: |
-          mamba run -n ${{ env.CONDA_ENV_NAME }} --cwd python pytest -m "not darwin and not mount and not localcache"
+          mamba run -n ${{ env.CONDA_ENV_NAME }} --cwd python pytest -m "not darwin and not mount"
 
       - name: Copy test coverage results
         run: |

From bd69fb8476559380fd3da41039c8a9c9fa50adf5 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Fri, 19 Jul 2024 21:25:37 +0100
Subject: [PATCH 46/92] ci: draft to fix `CI` `pytest`

---
 .github/workflows/ci.yaml | 27 ++++++++++++++++++++-------
 1 file changed, 20 insertions(+), 7 deletions(-)

diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index f195451a..f05e52e7 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -5,7 +5,7 @@ env:
   DOCKER_BUILDKIT: 1
   COMPOSE_DOCKER_CLI_BUILD: 1
   CONDA_ENV_NAME: clim-recal
-  CONDA_ENV_PATH: .conda-linux-64.lock
+  CONDA_ENV_PATH: conda-lock.yml
   MIN_PYTHON_VERSION: 3.12
   PYTHON_MODULE_FOLDER: python/
   COVERAGE_SVG_FOLDER: docs/assets/
@@ -60,17 +60,30 @@ jobs:
         uses: actions/checkout@main
 
       - name: Build Conda Environment
-        uses: conda-incubator/setup-miniconda@v3
+        uses: mamba-org/setup-micromamba@v1
         with:
-          auto-update-conda: false
-          activate-environment: ${{ env.CONDA_ENV_NAME }}
+          # auto-update-conda: false
+          # activate-environment: ${{ env.CONDA_ENV_NAME }}
           environment-file: ${{ env.CONDA_ENV_PATH }}
-          miniforge-version: latest
-          use-mamba: true
+          environment-name: ${{ env.CONDA_ENV_NAME }}
+          generate-run-shell: true
+          # create-args: >-
+          #   pytest-cov
+          #   pytest-xdist
+          #   coverage-badge
+          create-args: >-
+            --dev-dependencies
+          # custom-args: >-
+          #   --dev-dependencies
+          # miniforge-version: latest
+          # use-mamba: true
 
       - name: Run Python Tests
         run: |
-          mamba run -n ${{ env.CONDA_ENV_NAME }} --cwd python pytest -m "not darwin and not mount"
+          cd python
+          pytest -m "not darwin and not mount"
+        # shell: bash -el {0}
+        shell: micromamba-shell {0}
 
       - name: Copy test coverage results
         run: |

From 67c7686581b529a9e9bf9c08e833ad7575b98b8b Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sat, 20 Jul 2024 19:15:45 +0100
Subject: [PATCH 47/92] fix(ci): add `libsqlite --fore-reinstall` to `ci.yaml`

---
 .github/workflows/ci.yaml | 56 ++++++++++++++++++++++++---------------
 1 file changed, 35 insertions(+), 21 deletions(-)

diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index f05e52e7..ad8899fa 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -5,8 +5,9 @@ env:
   DOCKER_BUILDKIT: 1
   COMPOSE_DOCKER_CLI_BUILD: 1
   CONDA_ENV_NAME: clim-recal
-  CONDA_ENV_PATH: conda-lock.yml
-  MIN_PYTHON_VERSION: 3.12
+  # CONDA_ENV_PATH: conda-lock.yml
+  CONDA_ENV_PATH: .conda-linux-64.lock
+  MIN_PYTHON_VERSION: 3.13
   PYTHON_MODULE_FOLDER: python/
   COVERAGE_SVG_FOLDER: docs/assets/
   COVERAGE_SVG_FILE_NAME: coverage.svg
@@ -60,30 +61,43 @@ jobs:
         uses: actions/checkout@main
 
       - name: Build Conda Environment
-        uses: mamba-org/setup-micromamba@v1
+        uses: conda-incubator/setup-miniconda@v3
         with:
-          # auto-update-conda: false
-          # activate-environment: ${{ env.CONDA_ENV_NAME }}
+          activate-environment: ${{ env.CONDA_ENV_NAME }}
           environment-file: ${{ env.CONDA_ENV_PATH }}
-          environment-name: ${{ env.CONDA_ENV_NAME }}
-          generate-run-shell: true
-          # create-args: >-
-          #   pytest-cov
-          #   pytest-xdist
-          #   coverage-badge
-          create-args: >-
-            --dev-dependencies
-          # custom-args: >-
-          #   --dev-dependencies
-          # miniforge-version: latest
-          # use-mamba: true
+          auto-activate-base: false
+          miniforge-version: latest
+          use-mamba: true
+      # - name: Build Conda Environment
+      #   uses: mamba-org/setup-micromamba@v1
+      #   with:
+      #     auto-update-conda: false
+      #     activate-environment: ${{ env.CONDA_ENV_NAME }}
+      #     # environment-file: ${{ env.CONDA_ENV_PATH }}
+      #     # environment-name: ${{ env.CONDA_ENV_NAME }}
+      #     # generate-run-shell: true
+      #     # create-args: >-
+      #     #   pytest-cov
+      #     #   pytest-xdist
+      #     #   coverage-badge
+      #     create-args: >-
+      #       --dev-dependencies
+      #     # custom-args: >-
+      #     #   --dev-dependencies
+      #     # miniforge-version: latest
+      #     # use-mamba: true
 
       - name: Run Python Tests
+        # The first line below may be temporary, follows this solution:
+        # https://github.com/pyenv/pyenv/issues/2625
         run: |
-          cd python
-          pytest -m "not darwin and not mount"
-        # shell: bash -el {0}
-        shell: micromamba-shell {0}
+          mamba install libsqlite --force-reinstall
+          mamba run -n ${{ env.CONDA_ENV_NAME }} --cwd python pytest -m "not darwin and not mount"
+        # run: |
+        #   cd python
+        #   pytest -m "not darwin and not mount"
+        shell: bash -el {0}
+        # shell: micromamba-shell {0}
 
       - name: Copy test coverage results
         run: |

From 57d73c48ef96dc953394beb82ea1a5d13784f4e3 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sat, 20 Jul 2024 19:19:52 +0100
Subject: [PATCH 48/92] fix(ci): set `github` `python` version to `3.12`

---
 .github/workflows/ci.yaml | 27 +++------------------------
 1 file changed, 3 insertions(+), 24 deletions(-)

diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index ad8899fa..44694821 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -7,7 +7,7 @@ env:
   CONDA_ENV_NAME: clim-recal
   # CONDA_ENV_PATH: conda-lock.yml
   CONDA_ENV_PATH: .conda-linux-64.lock
-  MIN_PYTHON_VERSION: 3.13
+  MIN_PYTHON_VERSION: 3.12
   PYTHON_MODULE_FOLDER: python/
   COVERAGE_SVG_FOLDER: docs/assets/
   COVERAGE_SVG_FILE_NAME: coverage.svg
@@ -68,36 +68,15 @@ jobs:
           auto-activate-base: false
           miniforge-version: latest
           use-mamba: true
-      # - name: Build Conda Environment
-      #   uses: mamba-org/setup-micromamba@v1
-      #   with:
-      #     auto-update-conda: false
-      #     activate-environment: ${{ env.CONDA_ENV_NAME }}
-      #     # environment-file: ${{ env.CONDA_ENV_PATH }}
-      #     # environment-name: ${{ env.CONDA_ENV_NAME }}
-      #     # generate-run-shell: true
-      #     # create-args: >-
-      #     #   pytest-cov
-      #     #   pytest-xdist
-      #     #   coverage-badge
-      #     create-args: >-
-      #       --dev-dependencies
-      #     # custom-args: >-
-      #     #   --dev-dependencies
-      #     # miniforge-version: latest
-      #     # use-mamba: true
 
       - name: Run Python Tests
-        # The first line below may be temporary, follows this solution:
+        # The first line below may be temporary,
+        # see this solution:
         # https://github.com/pyenv/pyenv/issues/2625
         run: |
           mamba install libsqlite --force-reinstall
           mamba run -n ${{ env.CONDA_ENV_NAME }} --cwd python pytest -m "not darwin and not mount"
-        # run: |
-        #   cd python
-        #   pytest -m "not darwin and not mount"
         shell: bash -el {0}
-        # shell: micromamba-shell {0}
 
       - name: Copy test coverage results
         run: |

From 0f97894c23180164f6a44a68e7b2de9447733ab9 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 21 Jul 2024 00:47:02 +0100
Subject: [PATCH 49/92] doc: fix `quartodoc` `pydandic` dependency version

---
 .conda-linux-64.lock  |  12 +--
 conda-lock.yml        | 165 ++++++++++++++++++++++--------------------
 python/pdm.lock       |  88 +++++++++++-----------
 python/pyproject.toml |   3 +-
 4 files changed, 137 insertions(+), 131 deletions(-)

diff --git a/.conda-linux-64.lock b/.conda-linux-64.lock
index 8a98e587..fc513629 100644
--- a/.conda-linux-64.lock
+++ b/.conda-linux-64.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: e93d626994b24acc9824124ff7f680fce2a576875f8b1052dd7b9635db71c386
+# input_hash: 39afbc7e61dc8d1f80c0d072d56e538eefdac01b4eaba0079e090148ca8d862f
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://repo.anaconda.com/pkgs/main/linux-64/blas-1.0-openblas.conda#9ddfcaef10d79366c90128f5dc444be8
@@ -245,7 +245,7 @@ https://repo.anaconda.com/pkgs/main/noarch/cligj-0.7.2-pyhd3eb1b0_0.conda#a304c2
 https://conda.anaconda.org/conda-forge/noarch/clikit-0.6.2-pyhd8ed1ab_2.conda#02abb7b66b02e8b9f5a9b05454400087
 https://repo.anaconda.com/pkgs/main/linux-64/comm-0.2.1-py312h06a4308_0.conda#7d7b827eee78fd7b62292dc6a44314f2
 https://conda.anaconda.org/conda-forge/noarch/coverage-badge-1.1.1-pyhd8ed1ab_0.conda#2b9d71adc9cae0b0eff77cae36f75cf6
-https://conda.anaconda.org/conda-forge/noarch/dep-logic-0.4.2-pyhd8ed1ab_0.conda#3485b77f697e38cbab7b80d01533717a
+https://conda.anaconda.org/conda-forge/noarch/dep-logic-0.4.3-pyhd8ed1ab_0.conda#396864473cf7cf2dcbc17bb3bdcef665
 https://conda.anaconda.org/conda-forge/noarch/findpython-0.6.1-pyhd8ed1ab_0.conda#c3562fb8edde4111bd5a11ea30cbc6a7
 https://repo.anaconda.com/pkgs/main/linux-64/fonttools-4.51.0-py312h5eee18b_0.conda#592d996d4b654ac2d0b071461f5165d4
 https://repo.anaconda.com/pkgs/main/noarch/gitdb-4.0.7-pyhd3eb1b0_0.conda#bdd15a7149734880c003d98110c56b5b
@@ -310,7 +310,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libspatialite-5.1.0-h6fbd9c4_7.c
 https://repo.anaconda.com/pkgs/main/linux-64/numexpr-2.8.7-py312he7dcb8a_0.conda#abeab7edb95c5f2adcd741401a2e07dc
 https://conda.anaconda.org/conda-forge/linux-64/poppler-24.04.0-hb6cd0d7_0.conda#d19eed746748f1d44b575662f2bcfe95
 https://repo.anaconda.com/pkgs/main/noarch/prompt_toolkit-3.0.43-hd3eb1b0_0.conda#244c80adf85e37e2a4158d0f0c199566
-https://repo.anaconda.com/pkgs/main/linux-64/pydantic-core-2.14.6-py312hb02cf49_0.conda#e923c263c17acb02e2d48d0349eeeb73
+https://conda.anaconda.org/conda-forge/linux-64/pydantic-core-2.20.1-py312hf008fa9_0.conda#8cc8f335b7e355558854236d86b2bea4
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.6.1-py312h5d05ceb_7.conda#b53ddc25da04839cc62b0b158a7ecb38
 https://repo.anaconda.com/pkgs/main/linux-64/pytest-cov-4.1.0-py312h06a4308_1.conda#527d99f42aeea2545011a0bb6c7d38b8
 https://conda.anaconda.org/conda-forge/noarch/pytest-sugar-1.0.0-pyhd8ed1ab_0.conda#95911286c4f6bcea2bea50b2739c7f8e
@@ -334,7 +334,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/matplotlib-base-3.8.4-py312h526ad5a
 https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.1-nompi_py312h1ef7fb6_101.conda#c67cc8e3a34c5cb8920c79918112e96f
 https://repo.anaconda.com/pkgs/main/linux-64/pandas-2.2.2-py312h526ad5a_0.conda#931585545b1801a72013bf30186fb51a
 https://conda.anaconda.org/conda-forge/noarch/plum-dispatch-2.5.2-pyhd8ed1ab_0.conda#f8d38e43e2b367976d7135e602b5c9b6
-https://repo.anaconda.com/pkgs/main/linux-64/pydantic-2.5.3-py312h06a4308_0.conda#b584f35c1c23cfe8bfa0ec111df2408e
+https://conda.anaconda.org/conda-forge/noarch/pydantic-2.8.2-pyhd8ed1ab_0.conda#539a038a24a959662df1fcaa2cfc5c3e
 https://repo.anaconda.com/pkgs/main/linux-64/pyopenssl-24.0.0-py312h06a4308_0.conda#f93a6ad622b84e53aed3d899b5b36f6a
 https://repo.anaconda.com/pkgs/main/linux-64/scikit-learn-1.4.2-py312h526ad5a_1.conda#7f8e8d231b3df92ca1821f2062c76306
 https://repo.anaconda.com/pkgs/main/linux-64/secretstorage-3.3.1-py312h06a4308_1.conda#790c1839ee84767859d244875a26ad97
@@ -365,13 +365,13 @@ https://conda.anaconda.org/conda-forge/noarch/unearth-0.16.1-pyhd8ed1ab_0.conda#
 https://repo.anaconda.com/pkgs/main/linux-64/cachecontrol-with-filecache-0.14.0-py312h06a4308_1.conda#e3f673966a8bfbab947ceceb285f72d0
 https://conda.anaconda.org/conda-forge/linux-64/gdal-3.8.5-py312h86af8fa_11.conda#5440cac70586e8653b26aa5f2860c101
 https://repo.anaconda.com/pkgs/main/linux-64/jupyter_server-2.14.1-py312h06a4308_0.conda#6ee18118c92c40b045ae6a99d5025da4
-https://conda.anaconda.org/conda-forge/noarch/pdm-2.17.0-pyhd8ed1ab_0.conda#f5967ca19cb8fbd0eb04b8e191ded1e2
+https://conda.anaconda.org/conda-forge/noarch/pdm-2.17.1-pyhd8ed1ab_0.conda#3da349945f818b5ef7591fa13742d2d9
 https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.3.10-py312hd6340be_2.conda#9cee69a489f3b7c6de37bd7021d505cb
 https://repo.anaconda.com/pkgs/main/linux-64/conda-lock-2.5.6-py312h06a4308_0.conda#1f85a7f30fbd7e1a1061c05ba059e11f
 https://repo.anaconda.com/pkgs/main/linux-64/jupyter-lsp-2.2.0-py312h06a4308_0.conda#5ec44afafeffea8c68eb56af4da94dc5
 https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda#af8239bf1ba7e8c69b689f780f653488
 https://repo.anaconda.com/pkgs/main/linux-64/notebook-shim-0.2.3-py312h06a4308_0.conda#1f00239d617e3f323f35899f6254b39c
 https://conda.anaconda.org/conda-forge/linux-64/pyogrio-0.8.0-py312hbedb91a_1.conda#3840cffc5d6c64e179fc54f02714956d
-https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.16.0-pyhd8ed1ab_0.conda#e651425fab6f281a049b785d1d630b1a
+https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.17.0-pyhd8ed1ab_0.conda#160464c6f979eb68e9a9ea31dd6b5aa6
 https://conda.anaconda.org/conda-forge/noarch/geopandas-1.0.1-pyhd8ed1ab_0.conda#efef4ce75a678216d510d08222845c7f
 https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.4-pyhd8ed1ab_0.conda#28f3334e97c39de2b7ac15743b041784
diff --git a/conda-lock.yml b/conda-lock.yml
index 8c427402..78ca24c4 100644
--- a/conda-lock.yml
+++ b/conda-lock.yml
@@ -15,9 +15,9 @@
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-    linux-aarch64: db00b5eb96e5e331116ea643b28eca6b8bb41be698198b6bc678518d5384e367
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     used_env_vars: []
@@ -3140,42 +3140,42 @@ package:
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+  version: 0.4.3
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     python: '>=3.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/dep-logic-0.4.2-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/dep-logic-0.4.3-pyhd8ed1ab_0.conda
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   category: main
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+  version: 0.4.3
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     python: '>=3.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/dep-logic-0.4.2-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/dep-logic-0.4.3-pyhd8ed1ab_0.conda
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   category: main
   optional: false
 - name: dep-logic
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+  version: 0.4.3
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     python: '>=3.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/dep-logic-0.4.2-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/dep-logic-0.4.3-pyhd8ed1ab_0.conda
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   category: main
   optional: false
 - name: dill
@@ -10139,13 +10139,13 @@ package:
   category: main
   optional: false
 - name: pdm
-  version: 2.17.0
+  version: 2.17.1
   manager: conda
   platform: linux-64
   dependencies:
     blinker: ''
     chardet: ''
-    dep-logic: '>=0.4.0'
+    dep-logic: '>=0.4.3'
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     findpython: '>=0.6.0,<1.0.0a0'
     hishel: '>=0.0.24,<0.1.0'
@@ -10171,20 +10171,20 @@ package:
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     virtualenv: '>=20'
     zstandard: '>=0.21.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/pdm-2.17.0-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/pdm-2.17.1-pyhd8ed1ab_0.conda
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   category: main
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 - name: pdm
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+  version: 2.17.1
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     chardet: ''
-    dep-logic: '>=0.4.0'
+    dep-logic: '>=0.4.3'
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     findpython: '>=0.6.0,<1.0.0a0'
     hishel: '>=0.0.24,<0.1.0'
@@ -10210,20 +10210,20 @@ package:
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     virtualenv: '>=20'
     zstandard: '>=0.21.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/pdm-2.17.0-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/pdm-2.17.1-pyhd8ed1ab_0.conda
   hash:
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+    sha256: 0e361e083e62ee24c1e1e269e3e34bb78cd70f4130d52325b69174d2e989f8e2
   category: main
   optional: false
 - name: pdm
-  version: 2.17.0
+  version: 2.17.1
   manager: conda
   platform: osx-arm64
   dependencies:
     blinker: ''
     chardet: ''
-    dep-logic: '>=0.4.0'
+    dep-logic: '>=0.4.3'
     filelock: '>=3.13'
     findpython: '>=0.6.0,<1.0.0a0'
     hishel: '>=0.0.24,<0.1.0'
@@ -10249,10 +10249,10 @@ package:
     unearth: '>=0.16.0'
     virtualenv: '>=20'
     zstandard: '>=0.21.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/pdm-2.17.0-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/pdm-2.17.1-pyhd8ed1ab_0.conda
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   category: main
   optional: false
 - name: perl
@@ -11235,89 +11235,94 @@ package:
   category: main
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-  version: 2.5.3
+  version: 2.8.2
   manager: conda
   platform: linux-64
   dependencies:
     annotated-types: '>=0.4.0'
-    pydantic-core: 2.14.6
-    python: '>=3.12,<3.13.0a0'
+    pydantic-core: 2.20.1
+    python: '>=3.7'
     typing-extensions: '>=4.6.1'
-  url: https://repo.anaconda.com/pkgs/main/linux-64/pydantic-2.5.3-py312h06a4308_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.8.2-pyhd8ed1ab_0.conda
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+    sha256: 5a877153f7eaaab9724db5b64366a35e346007c9c104c1d6a6042f83b2f4f0df
+  category: dev
+  optional: true
 - name: pydantic
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+  version: 2.8.2
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   platform: linux-aarch64
   dependencies:
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-    pydantic-core: 2.14.6
-    python: '>=3.12,<3.13.0a0'
+    pydantic-core: 2.20.1
+    python: '>=3.7'
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-  url: https://repo.anaconda.com/pkgs/main/linux-aarch64/pydantic-2.5.3-py312hd43f75c_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.8.2-pyhd8ed1ab_0.conda
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-    pydantic-core: 2.14.6
-    python: '>=3.12,<3.13.0a0'
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+    python: '>=3.7'
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-  url: https://repo.anaconda.com/pkgs/main/osx-arm64/pydantic-2.5.3-py312hca03da5_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.8.2-pyhd8ed1ab_0.conda
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+  version: 2.20.1
   manager: conda
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+    __glibc: '>=2.17,<3.0.a0'
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+    python_abi: 3.12.*
     typing-extensions: '>=4.6.0,!=4.7.0'
-  url: https://repo.anaconda.com/pkgs/main/linux-64/pydantic-core-2.14.6-py312hb02cf49_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/pydantic-core-2.20.1-py312hf008fa9_0.conda
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   category: main
   optional: false
 - name: pydantic-core
-  version: 2.14.6
+  version: 2.20.1
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   platform: linux-aarch64
   dependencies:
-    libgcc-ng: '>=11.2.0'
+    libgcc-ng: '>=12'
     python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
     typing-extensions: '>=4.6.0,!=4.7.0'
-  url: https://repo.anaconda.com/pkgs/main/linux-aarch64/pydantic-core-2.14.6-py312h7f3cb11_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/pydantic-core-2.20.1-py312h3dd116e_0.conda
   hash:
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   category: main
   optional: false
 - name: pydantic-core
-  version: 2.14.6
+  version: 2.20.1
   manager: conda
   platform: osx-arm64
   dependencies:
+    __osx: '>=11.0'
     python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
     typing-extensions: '>=4.6.0,!=4.7.0'
-  url: https://repo.anaconda.com/pkgs/main/osx-arm64/pydantic-core-2.14.6-py312hf0e4da2_0.conda
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/pydantic-core-2.20.1-py312h552d48e_0.conda
   hash:
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-    sha256: 91c94819242bdc5d9b40d3835d4158822a7c93cf085135983460ff257913c089
+    md5: b0b8cd2d2e6aa1620dfea907706f94b4
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   category: main
   optional: false
 - name: pygments
@@ -12742,7 +12747,7 @@ package:
   category: main
   optional: false
 - name: rioxarray
-  version: 0.16.0
+  version: 0.17.0
   manager: conda
   platform: linux-64
   dependencies:
@@ -12753,14 +12758,14 @@ package:
     rasterio: '>=1.3'
     scipy: ''
     xarray: '>=2022.3.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.16.0-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.17.0-pyhd8ed1ab_0.conda
   hash:
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-    sha256: b63b43fac200261b2667666f45894fbe068101e4a57926b72f4d82fe2e5b78c1
+    md5: 160464c6f979eb68e9a9ea31dd6b5aa6
+    sha256: 992ce1a2667dd2beac45157dcb9058775e0522ebf1a70f1563c0fd0608f9480a
   category: main
   optional: false
 - name: rioxarray
-  version: 0.16.0
+  version: 0.17.0
   manager: conda
   platform: linux-aarch64
   dependencies:
@@ -12771,14 +12776,14 @@ package:
     rasterio: '>=1.3'
     scipy: ''
     xarray: '>=2022.3.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.16.0-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.17.0-pyhd8ed1ab_0.conda
   hash:
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-    sha256: b63b43fac200261b2667666f45894fbe068101e4a57926b72f4d82fe2e5b78c1
+    md5: 160464c6f979eb68e9a9ea31dd6b5aa6
+    sha256: 992ce1a2667dd2beac45157dcb9058775e0522ebf1a70f1563c0fd0608f9480a
   category: main
   optional: false
 - name: rioxarray
-  version: 0.16.0
+  version: 0.17.0
   manager: conda
   platform: osx-arm64
   dependencies:
@@ -12789,10 +12794,10 @@ package:
     rasterio: '>=1.3'
     scipy: ''
     xarray: '>=2022.3.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.16.0-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.17.0-pyhd8ed1ab_0.conda
   hash:
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-    sha256: b63b43fac200261b2667666f45894fbe068101e4a57926b72f4d82fe2e5b78c1
+    md5: 160464c6f979eb68e9a9ea31dd6b5aa6
+    sha256: 992ce1a2667dd2beac45157dcb9058775e0522ebf1a70f1563c0fd0608f9480a
   category: main
   optional: false
 - name: rpds-py
diff --git a/python/pdm.lock b/python/pdm.lock
index acbeda83..b72655dd 100644
--- a/python/pdm.lock
+++ b/python/pdm.lock
@@ -5,7 +5,7 @@
 groups = ["default", "dev"]
 strategy = ["cross_platform", "inherit_metadata"]
 lock_version = "4.4.2"
-content_hash = "sha256:b8b4cf2772bc66023bff5b3336356d406e83f0b6d33f59230169415f168caa70"
+content_hash = "sha256:bd9f6356c4fe7670347a625ffb68759281d11149eff00ef86a0bb48c323c8052"
 
 [[package]]
 name = "affine"
@@ -335,7 +335,7 @@ name = "charset-normalizer"
 version = "3.3.2"
 requires_python = ">=3.7.0"
 summary = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
-groups = ["default"]
+groups = ["default", "dev"]
 files = [
     {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
     {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"},
@@ -1027,7 +1027,7 @@ name = "idna"
 version = "3.7"
 requires_python = ">=3.5"
 summary = "Internationalized Domain Names in Applications (IDNA)"
-groups = ["default"]
+groups = ["default", "dev"]
 files = [
     {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"},
     {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
@@ -2145,23 +2145,23 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "2.7.1"
+version = "2.8.2"
 requires_python = ">=3.8"
 summary = "Data validation using Python type hints"
 groups = ["default", "dev"]
 dependencies = [
     "annotated-types>=0.4.0",
-    "pydantic-core==2.18.2",
-    "typing-extensions>=4.6.1",
+    "pydantic-core==2.20.1",
+    "typing-extensions>=4.6.1; python_version < \"3.13\"",
 ]
 files = [
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-    {file = "pydantic-2.7.1.tar.gz", hash = "sha256:e9dbb5eada8abe4d9ae5f46b9939aead650cd2b68f249bb3a8139dbe125803cc"},
+    {file = "pydantic-2.8.2-py3-none-any.whl", hash = "sha256:73ee9fddd406dc318b885c7a2eab8a6472b68b8fb5ba8150949fc3db939f23c8"},
+    {file = "pydantic-2.8.2.tar.gz", hash = "sha256:6f62c13d067b0755ad1c21a34bdd06c0c12625a22b0fc09c6b149816604f7c2a"},
 ]
 
 [[package]]
 name = "pydantic-core"
-version = "2.18.2"
+version = "2.20.1"
 requires_python = ">=3.8"
 summary = "Core functionality for Pydantic validation and serialization"
 groups = ["default", "dev"]
@@ -2169,36 +2169,35 @@ dependencies = [
     "typing-extensions!=4.7.0,>=4.6.0",
 ]
 files = [
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+    {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f6d6cff3538391e8486a431569b77921adfcdef14eb18fbf19b7c0a5294d4e6a"},
+    {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a6d511cc297ff0883bc3708b465ff82d7560193169a8b93260f74ecb0a5e08a7"},
+    {file = "pydantic_core-2.20.1.tar.gz", hash = "sha256:26ca695eeee5f9f1aeeb211ffc12f10bcb6f71e2989988fda61dabd65db878d4"},
 ]
 
 [[package]]
@@ -2474,7 +2473,7 @@ files = [
 
 [[package]]
 name = "quartodoc"
-version = "0.7.2"
+version = "0.7.5"
 requires_python = ">=3.9"
 summary = "Generate API documentation with Quarto."
 groups = ["dev"]
@@ -2486,14 +2485,15 @@ dependencies = [
     "plum-dispatch>2.0.0; python_version >= \"3.10\"",
     "pydantic",
     "pyyaml",
+    "requests",
     "sphobjinv>=2.3.1",
     "tabulate>=0.9.0",
     "typing-extensions>=4.4.0",
     "watchdog>=3.0.0",
 ]
 files = [
-    {file = "quartodoc-0.7.2-py3-none-any.whl", hash = "sha256:adff974296c013308f4e06cadea8b71b90d334dcb1510d2bd0ef9cea06d8be98"},
-    {file = "quartodoc-0.7.2.tar.gz", hash = "sha256:58f98c88065ce0b4a857f13282d1e38bb2cd4757b481a4c6279bdca89ba5640b"},
+    {file = "quartodoc-0.7.5-py3-none-any.whl", hash = "sha256:293c45c4b1b10936d562921ff32f7a5d3e24bde250c638f0033c0c38ecbc9a92"},
+    {file = "quartodoc-0.7.5.tar.gz", hash = "sha256:328d40374fa4397cab67a820cdac3dca47a90eb0a33328ccf50c8f41507ef125"},
 ]
 
 [[package]]
@@ -2541,7 +2541,7 @@ name = "requests"
 version = "2.31.0"
 requires_python = ">=3.7"
 summary = "Python HTTP for Humans."
-groups = ["default"]
+groups = ["default", "dev"]
 dependencies = [
     "certifi>=2017.4.17",
     "charset-normalizer<4,>=2",
@@ -3151,7 +3151,7 @@ name = "urllib3"
 version = "1.26.18"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 summary = "HTTP library with thread-safe connection pooling, file post, and more."
-groups = ["default"]
+groups = ["default", "dev"]
 files = [
     {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"},
     {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"},
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 63839a39..e008de5a 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -54,11 +54,12 @@ all = true
 dev = [
     "pytest-cov<5.0.0,>=4.1.0",
     "pytest-sugar<2.0.0,>=1.0.0",
-    "quartodoc<1.0.0,>=0.7.2",
+    "quartodoc>=0.7.5",
     "pre-commit<4.0.0,>=3.6.2",
     "coverage-badge<2.0.0,>=1.1.0",
     "pytest-xdist>=3.5.0",
     "sysrsync>=1.1.1",
+    "pydantic>=2.8.2",
 ]
 
 [tool.pdm.build]

From 6f0fb1bec03bd15f60d921299c25544e57f29b45 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 21 Jul 2024 15:17:20 +0100
Subject: [PATCH 50/92] fix: enforce `numpy<2` and update `.pre-commit` and fix
 macOS processing import error

---
 .conda-linux-64.lock            |   4 +-
 .pre-commit-config.yaml         |   6 +-
 conda-lock.yml                  |  30 +-
 python/clim_recal/utils/core.py |   5 +
 python/pdm.lock                 | 939 +++++++++++++++++---------------
 python/pyproject.toml           |   1 +
 6 files changed, 512 insertions(+), 473 deletions(-)

diff --git a/.conda-linux-64.lock b/.conda-linux-64.lock
index fc513629..c7207834 100644
--- a/.conda-linux-64.lock
+++ b/.conda-linux-64.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 39afbc7e61dc8d1f80c0d072d56e538eefdac01b4eaba0079e090148ca8d862f
+# input_hash: 2b519e031a7313cf1177defbb5591df97a746f96bfb527d745b65470b3097ab4
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://repo.anaconda.com/pkgs/main/linux-64/blas-1.0-openblas.conda#9ddfcaef10d79366c90128f5dc444be8
@@ -266,7 +266,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/matplotlib-inline-0.1.6-py312h06a43
 https://repo.anaconda.com/pkgs/main/linux-64/nodeenv-1.7.0-py312h06a4308_0.conda#23c0441e6b4e88642027f364e62f8566
 https://repo.anaconda.com/pkgs/main/linux-64/numpy-1.26.4-py312h2809609_0.conda#a4282fd8d475c35059c92025ddf0b8a5
 https://repo.anaconda.com/pkgs/main/linux-64/openpyxl-3.1.2-py312h5eee18b_0.conda#7b0e99dc4855ed3f946fdf20d312f806
-https://conda.anaconda.org/conda-forge/linux-64/parallel-20240522-ha770c72_0.conda#95444bc23d494d0b06405bea54c7cd1f
+https://conda.anaconda.org/conda-forge/linux-64/parallel-20240722-ha770c72_0.conda#acad361a391f190dc2fa629a2814fdcf
 https://repo.anaconda.com/pkgs/main/noarch/pexpect-4.8.0-pyhd3eb1b0_3.conda#765b2562d6cdd14bb6d44fc170a04331
 https://conda.anaconda.org/conda-forge/linux-64/pillow-10.4.0-py312h287a98d_0.conda#59ea71eed98aee0bebbbdd3b118167c7
 https://conda.anaconda.org/conda-forge/linux-64/postgresql-16.3-h8e811e2_0.conda#e4d52462da124ed3792472f95a36fc2a
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 0cd67fa7..91d26eff 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,12 +1,12 @@
 exclude: "data"
 repos:
   - repo: https://github.com/psf/black
-    rev: "23.12.1"
+    rev: "24.4.2"
     hooks:
       - id: black-jupyter
 
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.5.0
+    rev: v4.6.0
     hooks:
       - id: check-added-large-files
       - id: check-case-conflict
@@ -27,7 +27,7 @@ repos:
       - id: rst-inline-touching-normal
 
   - repo: https://github.com/pdm-project/pdm
-    rev: 2.12.4 # a PDM release exposing the hook
+    rev: 2.17.1 # a PDM release exposing the hook
     hooks:
       - id: pdm-lock-check
         args: [--lockfile, python/pdm.lock]
diff --git a/conda-lock.yml b/conda-lock.yml
index 78ca24c4..995a4601 100644
--- a/conda-lock.yml
+++ b/conda-lock.yml
@@ -15,9 +15,9 @@
 version: 1
 metadata:
   content_hash:
-    osx-arm64: 02143e847fa02a655e42c0abfe768bed11438816f9805fa37888a0172b9d74a6
-    linux-64: 39afbc7e61dc8d1f80c0d072d56e538eefdac01b4eaba0079e090148ca8d862f
-    linux-aarch64: 04a25f0b3dfc53876614711d86b8a3b56fdd7d4ed5eb620327975aed1e1fd6c0
+    osx-arm64: 5562ebbbde26d06224cb64f7d420208fab18e9445bc7bc30a7cb3f9c5c26a2a7
+    linux-64: 2b519e031a7313cf1177defbb5591df97a746f96bfb527d745b65470b3097ab4
+    linux-aarch64: 7de86e8d53c5d2e40886c674b7867d8799c24b61cebf2e747ddd68c961de0dc9
   channels:
   - url: r
     used_env_vars: []
@@ -9953,39 +9953,39 @@ package:
   category: main
   optional: false
 - name: parallel
-  version: '20240522'
+  version: '20240722'
   manager: conda
   platform: linux-64
   dependencies:
     perl: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/parallel-20240522-ha770c72_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/parallel-20240722-ha770c72_0.conda
   hash:
-    md5: 95444bc23d494d0b06405bea54c7cd1f
-    sha256: 853a34145a584b216871b7eca3c23933d4ce76ae6d38eeca75a99f234aceba38
+    md5: acad361a391f190dc2fa629a2814fdcf
+    sha256: ad0f93d7a5f2a232babfebc1dc0545a25be1394b09a18f67a80b3471ed4a6347
   category: main
   optional: false
 - name: parallel
-  version: '20240522'
+  version: '20240722'
   manager: conda
   platform: linux-aarch64
   dependencies:
     perl: ''
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/parallel-20240522-h8af1aa0_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/parallel-20240722-h8af1aa0_0.conda
   hash:
-    md5: 91d3aff938f0d0ecc768fec2b1bfdfc3
-    sha256: 59496282c2e76ee467fd3002dd2e8d02482ea357b99ec7e35141a6ddcad3e524
+    md5: bb06bd54a3692d852b48b678475afdee
+    sha256: b34d2dbfb75aa8fa3ef34415645e19d7e0b2dc715f48c363d5a6876fa64b6191
   category: main
   optional: false
 - name: parallel
-  version: '20240522'
+  version: '20240722'
   manager: conda
   platform: osx-arm64
   dependencies:
     perl: ''
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/parallel-20240522-hce30654_0.conda
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/parallel-20240722-hce30654_0.conda
   hash:
-    md5: f3f54087f73541d64f2565ddaad0f4bd
-    sha256: 64726a8ea0dcd5de7e3e5879abf1b066c43d85fd7c9e587ad888da9eeafdc7c0
+    md5: c3cda7d28dbae805de91662e10fa6031
+    sha256: b0b0aec16eebac1c1d005259086ba7ca5d200bb56856731e5ed907fd874eb0a6
   category: main
   optional: false
 - name: parso
diff --git a/python/clim_recal/utils/core.py b/python/clim_recal/utils/core.py
index c2eddc1d..25c1d949 100644
--- a/python/clim_recal/utils/core.py
+++ b/python/clim_recal/utils/core.py
@@ -1,4 +1,5 @@
 """Utility functions."""
+
 import sys
 import warnings
 from collections.abc import KeysView
@@ -205,6 +206,10 @@ def multiprocess_execute(
     else:
         logger.warning(f"'total_cpus' not checkable, running with 'cpus': {cpus}")
     params_tuples: list[tuple[Any, str]] = [(item, method_name) for item in iter]
+    # Had build errors when generating a wheel,
+    # Followed solution here:
+    # https://stackoverflow.com/questions/45720153/python-multiprocessing-error-attributeerror-module-main-has-no-attribute
+    __spec__ = None
     with Pool(processes=cpus) as pool:
         results = list(
             tqdm(pool.starmap(run_callable_attr, params_tuples), total=len(iter))
diff --git a/python/pdm.lock b/python/pdm.lock
index b72655dd..a6973901 100644
--- a/python/pdm.lock
+++ b/python/pdm.lock
@@ -3,9 +3,12 @@
 
 [metadata]
 groups = ["default", "dev"]
-strategy = ["cross_platform", "inherit_metadata"]
-lock_version = "4.4.2"
-content_hash = "sha256:bd9f6356c4fe7670347a625ffb68759281d11149eff00ef86a0bb48c323c8052"
+strategy = ["inherit_metadata"]
+lock_version = "4.5.0"
+content_hash = "sha256:7c3054f2a787c280df57211415a3aa43486b31fc48359d47e9d9b3e9ac27c10f"
+
+[[metadata.targets]]
+requires_python = "==3.12.*"
 
 [[package]]
 name = "affine"
@@ -20,28 +23,33 @@ files = [
 
 [[package]]
 name = "annotated-types"
-version = "0.6.0"
+version = "0.7.0"
 requires_python = ">=3.8"
 summary = "Reusable constraint types to use with typing.Annotated"
 groups = ["default", "dev"]
+dependencies = [
+    "typing-extensions>=4.0.0; python_version < \"3.9\"",
+]
 files = [
-    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
-    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
 [[package]]
 name = "anyio"
-version = "4.3.0"
+version = "4.4.0"
 requires_python = ">=3.8"
 summary = "High level compatibility layer for multiple asynchronous event loop implementations"
 groups = ["default"]
 dependencies = [
+    "exceptiongroup>=1.0.2; python_version < \"3.11\"",
     "idna>=2.8",
     "sniffio>=1.1",
+    "typing-extensions>=4.1; python_version < \"3.11\"",
 ]
 files = [
-    {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
-    {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"},
+    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
+    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
 ]
 
 [[package]]
@@ -74,6 +82,7 @@ summary = "Argon2 for Python"
 groups = ["default"]
 dependencies = [
     "argon2-cffi-bindings",
+    "typing-extensions; python_version < \"3.8\"",
 ]
 files = [
     {file = "argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea"},
@@ -135,6 +144,7 @@ summary = "Annotate AST trees with source code positions"
 groups = ["default"]
 dependencies = [
     "six>=1.12.0",
+    "typing; python_version < \"3.5\"",
 ]
 files = [
     {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
@@ -147,6 +157,9 @@ version = "2.0.4"
 requires_python = ">=3.8"
 summary = "Simple LRU cache for asyncio"
 groups = ["default"]
+dependencies = [
+    "typing-extensions>=4.0.0; python_version < \"3.11\"",
+]
 files = [
     {file = "async-lru-2.0.4.tar.gz", hash = "sha256:b8a59a5df60805ff63220b2a0c5b5393da5521b113cd5465a44eb037d81a5627"},
     {file = "async_lru-2.0.4-py3-none-any.whl", hash = "sha256:ff02944ce3c288c5be660c42dbcca0742b32c3b279d6dceda655190240b99224"},
@@ -158,6 +171,9 @@ version = "23.2.0"
 requires_python = ">=3.7"
 summary = "Classes Without Boilerplate"
 groups = ["default", "dev"]
+dependencies = [
+    "importlib-metadata; python_version < \"3.8\"",
+]
 files = [
     {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
     {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
@@ -169,6 +185,9 @@ version = "2.15.0"
 requires_python = ">=3.8"
 summary = "Internationalization utilities"
 groups = ["default"]
+dependencies = [
+    "pytz>=2015.7; python_version < \"3.9\"",
+]
 files = [
     {file = "Babel-2.15.0-py3-none-any.whl", hash = "sha256:08706bdad8d0a3413266ab61bd6c34d0c28d6e1e7badf40a2cebe67644e2e1fb"},
     {file = "babel-2.15.0.tar.gz", hash = "sha256:8daf0e265d05768bc6c7a314cf1321e9a123afc328cc635c18622a2f30a04413"},
@@ -180,7 +199,6 @@ version = "0.18.5"
 requires_python = ">=3.8.0"
 summary = "Unbearably fast runtime type checking in pure Python."
 groups = ["dev"]
-marker = "python_version >= \"3.10\""
 files = [
     {file = "beartype-0.18.5-py3-none-any.whl", hash = "sha256:5301a14f2a9a5540fe47ec6d34d758e9cd8331d36c4760fc7a5499ab86310089"},
     {file = "beartype-0.18.5.tar.gz", hash = "sha256:264ddc2f1da9ec94ff639141fbe33d22e12a9f75aa863b83b7046ffff1381927"},
@@ -270,13 +288,13 @@ files = [
 
 [[package]]
 name = "certifi"
-version = "2024.2.2"
+version = "2024.7.4"
 requires_python = ">=3.6"
 summary = "Python package for providing Mozilla's CA Bundle."
 groups = ["default", "dev"]
 files = [
-    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
-    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
+    {file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
+    {file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
 ]
 
 [[package]]
@@ -315,19 +333,22 @@ files = [
 
 [[package]]
 name = "cftime"
-version = "1.6.3"
+version = "1.6.4"
 requires_python = ">=3.8"
 summary = "Time-handling functionality from netcdf4-python"
 groups = ["default"]
 dependencies = [
+    "numpy>1.13.3; python_version < \"3.12.0.rc1\"",
     "numpy>=1.26.0b1; python_version >= \"3.12.0.rc1\"",
 ]
 files = [
-    {file = "cftime-1.6.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:2d113a01ab924445e61d65c26bbd95bc08e4a22878d3b947064bba056c884c4a"},
-    {file = "cftime-1.6.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5f11685663a6af97418908060492a07663c16d42519c139ca03c2ffb1377fd25"},
-    {file = "cftime-1.6.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a98abb1d46d118e52b0611ce668a0b714b407be26177ef0581ecf5e95f894725"},
-    {file = "cftime-1.6.3-cp312-cp312-win_amd64.whl", hash = "sha256:4d6fbd5f41b322cfa7b0ac3aaadeceb4450100a164b5bccbbb9e7c5048489a88"},
-    {file = "cftime-1.6.3.tar.gz", hash = "sha256:d0a6b29f72a13f08e008b9becff247cc75c84acb213332ede18879c5b6aa4dfd"},
+    {file = "cftime-1.6.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3c349a91fa7ac9ec50118b04a8746bdea967bd2fc525d87c776003040b8d3392"},
+    {file = "cftime-1.6.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:588d073400798adc24ece759cd1cb24ef730f55d1f70e31a898e7686f9d763d8"},
+    {file = "cftime-1.6.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6e07b91b488570573bbeb6f815656a8974d13d15b2279c82de2927f4f692bbcd"},
+    {file = "cftime-1.6.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f92f2e405eeda47b30ab6231d8b7d136a55f21034d394f93ade322d356948654"},
+    {file = "cftime-1.6.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:567574df94d0de1101bb5da76e7fbc6eabfddeeb2eb8cf83286b3599a136bbf7"},
+    {file = "cftime-1.6.4-cp312-cp312-win_amd64.whl", hash = "sha256:5b5ad7559a16bedadb66af8e417b6805f758acb57aa38d2730844dfc63a1e667"},
+    {file = "cftime-1.6.4.tar.gz", hash = "sha256:e325406193758a7ed67308deb52e727782a19e384e183378e7ff62098be0aedc"},
 ]
 
 [[package]]
@@ -364,6 +385,7 @@ summary = "Composable command line interface toolkit"
 groups = ["default", "dev"]
 dependencies = [
     "colorama; platform_system == \"Windows\"",
+    "importlib-metadata; python_version < \"3.8\"",
 ]
 files = [
     {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
@@ -419,8 +441,11 @@ summary = "CliKit is a group of utilities to build beautiful and testable comman
 groups = ["default"]
 dependencies = [
     "crashtest<0.4.0,>=0.3.0; python_version ~= \"3.6\"",
+    "enum34<2.0,>=1.1; python_version >= \"2.7\" and python_version < \"2.8\"",
     "pastel<0.3.0,>=0.2.0",
     "pylev<2.0,>=1.3",
+    "typing-extensions<4.0,>=3.6; python_version >= \"3.5\" and python_full_version < \"3.5.4\"",
+    "typing<4.0,>=3.6; python_version >= \"2.7\" and python_version < \"2.8\" or python_version >= \"3.4\" and python_version < \"3.5\"",
 ]
 files = [
     {file = "clikit-0.6.2-py2.py3-none-any.whl", hash = "sha256:71268e074e68082306e23d7369a7b99f824a0ef926e55ba2665e911f7208489e"},
@@ -477,6 +502,7 @@ dependencies = [
     "requests>=2.18",
     "ruamel-yaml",
     "setuptools",
+    "tomli; python_version < \"3.11\"",
     "tomlkit>=0.7.0",
     "toolz<1.0.0,>=0.12.0",
     "typing-extensions",
@@ -516,23 +542,23 @@ files = [
 
 [[package]]
 name = "coverage"
-version = "7.5.1"
+version = "7.6.0"
 requires_python = ">=3.8"
 summary = "Code coverage measurement for Python"
 groups = ["dev"]
 files = [
-    {file = "coverage-7.5.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b6cf3764c030e5338e7f61f95bd21147963cf6aa16e09d2f74f1fa52013c1206"},
-    {file = "coverage-7.5.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2ec92012fefebee89a6b9c79bc39051a6cb3891d562b9270ab10ecfdadbc0c34"},
-    {file = "coverage-7.5.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:16db7f26000a07efcf6aea00316f6ac57e7d9a96501e990a36f40c965ec7a95d"},
-    {file = "coverage-7.5.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:beccf7b8a10b09c4ae543582c1319c6df47d78fd732f854ac68d518ee1fb97fa"},
-    {file = "coverage-7.5.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8748731ad392d736cc9ccac03c9845b13bb07d020a33423fa5b3a36521ac6e4e"},
-    {file = "coverage-7.5.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7352b9161b33fd0b643ccd1f21f3a3908daaddf414f1c6cb9d3a2fd618bf2572"},
-    {file = "coverage-7.5.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:7a588d39e0925f6a2bff87154752481273cdb1736270642aeb3635cb9b4cad07"},
-    {file = "coverage-7.5.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:68f962d9b72ce69ea8621f57551b2fa9c70509af757ee3b8105d4f51b92b41a7"},
-    {file = "coverage-7.5.1-cp312-cp312-win32.whl", hash = "sha256:f152cbf5b88aaeb836127d920dd0f5e7edff5a66f10c079157306c4343d86c19"},
-    {file = "coverage-7.5.1-cp312-cp312-win_amd64.whl", hash = "sha256:5a5740d1fb60ddf268a3811bcd353de34eb56dc24e8f52a7f05ee513b2d4f596"},
-    {file = "coverage-7.5.1-pp38.pp39.pp310-none-any.whl", hash = "sha256:6537e7c10cc47c595828b8a8be04c72144725c383c4702703ff4e42e44577312"},
-    {file = "coverage-7.5.1.tar.gz", hash = "sha256:54de9ef3a9da981f7af93eafde4ede199e0846cd819eb27c88e2b712aae9708c"},
+    {file = "coverage-7.6.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f7db0b6ae1f96ae41afe626095149ecd1b212b424626175a6633c2999eaad45b"},
+    {file = "coverage-7.6.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:bbdf9a72403110a3bdae77948b8011f644571311c2fb35ee15f0f10a8fc082e8"},
+    {file = "coverage-7.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9cc44bf0315268e253bf563f3560e6c004efe38f76db03a1558274a6e04bf5d5"},
+    {file = "coverage-7.6.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:da8549d17489cd52f85a9829d0e1d91059359b3c54a26f28bec2c5d369524807"},
+    {file = "coverage-7.6.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0086cd4fc71b7d485ac93ca4239c8f75732c2ae3ba83f6be1c9be59d9e2c6382"},
+    {file = "coverage-7.6.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1fad32ee9b27350687035cb5fdf9145bc9cf0a094a9577d43e909948ebcfa27b"},
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 [[package]]
@@ -679,7 +701,7 @@ files = [
 
 [[package]]
 name = "dep-logic"
-version = "0.2.0"
+version = "0.4.3"
 requires_python = ">=3.8"
 summary = "Python dependency specifications supporting logical operations"
 groups = ["default"]
@@ -687,8 +709,8 @@ dependencies = [
     "packaging>=22",
 ]
 files = [
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 [[package]]
@@ -765,23 +787,23 @@ files = [
 
 [[package]]
 name = "fastjsonschema"
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+version = "2.20.0"
 summary = "Fastest Python implementation of JSON schema"
 groups = ["default"]
 files = [
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 [[package]]
 name = "filelock"
-version = "3.14.0"
+version = "3.15.4"
 requires_python = ">=3.8"
 summary = "A platform independent file lock."
 groups = ["default", "dev"]
 files = [
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 [[package]]
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-requires_python = ">=3.7"
-summary = "Fiona reads and writes spatial data files"
-groups = ["default"]
-dependencies = [
-    "attrs>=19.2.0",
-    "certifi",
-    "click-plugins>=1.0",
-    "click~=8.0",
-    "cligj>=0.5",
-    "six",
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-]
-
 [[package]]
 name = "fonttools"
-version = "4.51.0"
+version = "4.53.1"
 requires_python = ">=3.8"
 summary = "Tools to manipulate font files"
 groups = ["default"]
 files = [
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 ]
 
 [[package]]
@@ -845,6 +845,9 @@ version = "1.5.1"
 requires_python = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
 summary = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers"
 groups = ["default"]
+dependencies = [
+    "cached-property>=1.3.0; python_version < \"3.8\"",
+]
 files = [
     {file = "fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014"},
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@@ -862,21 +865,21 @@ files = [
 
 [[package]]
 name = "geopandas"
-version = "0.14.4"
+version = "1.0.1"
 requires_python = ">=3.9"
 summary = "Geographic pandas extensions"
 groups = ["default"]
 dependencies = [
-    "fiona>=1.8.21",
     "numpy>=1.22",
     "packaging",
     "pandas>=1.4.0",
+    "pyogrio>=0.7.2",
     "pyproj>=3.3.0",
-    "shapely>=1.8.0",
+    "shapely>=2.0.0",
 ]
 files = [
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 ]
 
 [[package]]
@@ -901,6 +904,7 @@ summary = "GitPython is a Python library used to interact with Git repositories"
 groups = ["default"]
 dependencies = [
     "gitdb<5,>=4.0.1",
+    "typing-extensions>=3.7.4.3; python_version < \"3.8\"",
 ]
 files = [
     {file = "GitPython-3.1.43-py3-none-any.whl", hash = "sha256:eec7ec56b92aad751f9912a73404bc02ba212a23adb2c7098ee668417051a1ff"},
@@ -909,16 +913,18 @@ files = [
 
 [[package]]
 name = "griffe"
-version = "0.45.0"
+version = "0.48.0"
 requires_python = ">=3.8"
 summary = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 groups = ["dev"]
 dependencies = [
+    "astunparse>=1.6; python_version < \"3.9\"",
+    "backports-strenum>=1.3; python_version < \"3.11\"",
     "colorama>=0.4",
 ]
 files = [
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 ]
 
 [[package]]
@@ -927,6 +933,9 @@ version = "0.14.0"
 requires_python = ">=3.7"
 summary = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 groups = ["default"]
+dependencies = [
+    "typing-extensions; python_version < \"3.8\"",
+]
 files = [
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@@ -934,7 +943,7 @@ files = [
 
 [[package]]
 name = "hishel"
-version = "0.0.26"
+version = "0.0.30"
 requires_python = ">=3.8"
 summary = "Persistent cache implementation for httpx and httpcore"
 groups = ["default"]
@@ -943,8 +952,8 @@ dependencies = [
     "typing-extensions>=4.8.0",
 ]
 files = [
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+    {file = "hishel-0.0.30-py3-none-any.whl", hash = "sha256:0c73a779a6b554b52dff75e5962057df25764fd798c31b9435ce6398b1b171c8"},
+    {file = "hishel-0.0.30.tar.gz", hash = "sha256:656393ee77e9c39a0d6c527c74810e15d96e598dcb9b191f20a788608ceaca99"},
 ]
 
 [[package]]
@@ -1013,13 +1022,13 @@ files = [
 
 [[package]]
 name = "identify"
-version = "2.5.36"
+version = "2.6.0"
 requires_python = ">=3.8"
 summary = "File identification library for Python"
 groups = ["dev"]
 files = [
-    {file = "identify-2.5.36-py2.py3-none-any.whl", hash = "sha256:37d93f380f4de590500d9dba7db359d0d3da95ffe7f9de1753faa159e71e7dfa"},
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+    {file = "identify-2.6.0.tar.gz", hash = "sha256:cb171c685bdc31bcc4c1734698736a7d5b6c8bf2e0c15117f4d469c8640ae5cf"},
 ]
 
 [[package]]
@@ -1035,16 +1044,17 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "7.1.0"
+version = "8.0.0"
 requires_python = ">=3.8"
 summary = "Read metadata from Python packages"
 groups = ["dev"]
 dependencies = [
+    "typing-extensions>=3.6.4; python_version < \"3.8\"",
     "zipp>=0.5",
 ]
 files = [
-    {file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
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+    {file = "importlib_metadata-8.0.0-py3-none-any.whl", hash = "sha256:15584cf2b1bf449d98ff8a6ff1abef57bf20f3ac6454f431736cd3e660921b2f"},
+    {file = "importlib_metadata-8.0.0.tar.gz", hash = "sha256:188bd24e4c346d3f0a933f275c2fec67050326a856b9a359881d7c2a697e8812"},
 ]
 
 [[package]]
@@ -1053,6 +1063,9 @@ version = "6.4.0"
 requires_python = ">=3.8"
 summary = "Read resources from Python packages"
 groups = ["dev"]
+dependencies = [
+    "zipp>=3.1.0; python_version < \"3.10\"",
+]
 files = [
     {file = "importlib_resources-6.4.0-py3-none-any.whl", hash = "sha256:50d10f043df931902d4194ea07ec57960f66a80449ff867bfe782b4c486ba78c"},
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@@ -1082,7 +1095,7 @@ files = [
 
 [[package]]
 name = "ipykernel"
-version = "6.29.4"
+version = "6.29.5"
 requires_python = ">=3.8"
 summary = "IPython Kernel for Jupyter"
 groups = ["default"]
@@ -1102,19 +1115,20 @@ dependencies = [
     "traitlets>=5.4.0",
 ]
 files = [
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+    {file = "ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5"},
+    {file = "ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215"},
 ]
 
 [[package]]
 name = "ipython"
-version = "8.24.0"
+version = "8.26.0"
 requires_python = ">=3.10"
 summary = "IPython: Productive Interactive Computing"
 groups = ["default"]
 dependencies = [
     "colorama; sys_platform == \"win32\"",
     "decorator",
+    "exceptiongroup; python_version < \"3.11\"",
     "jedi>=0.16",
     "matplotlib-inline",
     "pexpect>4.3; sys_platform != \"win32\" and sys_platform != \"emscripten\"",
@@ -1122,10 +1136,11 @@ dependencies = [
     "pygments>=2.4.0",
     "stack-data",
     "traitlets>=5.13.0",
+    "typing-extensions>=4.6; python_version < \"3.12\"",
 ]
 files = [
-    {file = "ipython-8.24.0-py3-none-any.whl", hash = "sha256:d7bf2f6c4314984e3e02393213bab8703cf163ede39672ce5918c51fe253a2a3"},
-    {file = "ipython-8.24.0.tar.gz", hash = "sha256:010db3f8a728a578bb641fdd06c063b9fb8e96a9464c63aec6310fbcb5e80501"},
+    {file = "ipython-8.26.0-py3-none-any.whl", hash = "sha256:e6b347c27bdf9c32ee9d31ae85defc525755a1869f14057e900675b9e8d6e6ff"},
+    {file = "ipython-8.26.0.tar.gz", hash = "sha256:1cec0fbba8404af13facebe83d04436a7434c7400e59f47acf467c64abd0956c"},
 ]
 
 [[package]]
@@ -1162,6 +1177,9 @@ version = "5.3.0"
 requires_python = ">=3.8"
 summary = "Useful decorators and context managers"
 groups = ["default"]
+dependencies = [
+    "backports-tarfile; python_version < \"3.12\"",
+]
 files = [
     {file = "jaraco.context-5.3.0-py3-none-any.whl", hash = "sha256:3e16388f7da43d384a1a7cd3452e72e14732ac9fe459678773a3608a812bf266"},
     {file = "jaraco.context-5.3.0.tar.gz", hash = "sha256:c2f67165ce1f9be20f32f650f25d8edfc1646a8aeee48ae06fb35f90763576d2"},
@@ -1234,30 +1252,32 @@ files = [
 
 [[package]]
 name = "jsonpointer"
-version = "2.4"
-requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+version = "3.0.0"
+requires_python = ">=3.7"
 summary = "Identify specific nodes in a JSON document (RFC 6901) "
 groups = ["default"]
 files = [
-    {file = "jsonpointer-2.4-py2.py3-none-any.whl", hash = "sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a"},
-    {file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"},
+    {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
+    {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
 ]
 
 [[package]]
 name = "jsonschema"
-version = "4.22.0"
+version = "4.23.0"
 requires_python = ">=3.8"
 summary = "An implementation of JSON Schema validation for Python"
 groups = ["default", "dev"]
 dependencies = [
     "attrs>=22.2.0",
+    "importlib-resources>=1.4.0; python_version < \"3.9\"",
     "jsonschema-specifications>=2023.03.6",
+    "pkgutil-resolve-name>=1.3.10; python_version < \"3.9\"",
     "referencing>=0.28.4",
     "rpds-py>=0.7.1",
 ]
 files = [
-    {file = "jsonschema-4.22.0-py3-none-any.whl", hash = "sha256:ff4cfd6b1367a40e7bc6411caec72effadd3db0bbe5017de188f2d6108335802"},
-    {file = "jsonschema-4.22.0.tar.gz", hash = "sha256:5b22d434a45935119af990552c862e5d6d564e8f6601206b305a61fdf661a2b7"},
+    {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
+    {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
 ]
 
 [[package]]
@@ -1267,6 +1287,7 @@ requires_python = ">=3.8"
 summary = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 groups = ["default", "dev"]
 dependencies = [
+    "importlib-resources>=1.4.0; python_version < \"3.9\"",
     "referencing>=0.31.0",
 ]
 files = [
@@ -1276,7 +1297,7 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.22.0"
+version = "4.23.0"
 extras = ["format-nongpl"]
 requires_python = ">=3.8"
 summary = "An implementation of JSON Schema validation for Python"
@@ -1286,24 +1307,25 @@ dependencies = [
     "idna",
     "isoduration",
     "jsonpointer>1.13",
-    "jsonschema==4.22.0",
+    "jsonschema==4.23.0",
     "rfc3339-validator",
     "rfc3986-validator>0.1.0",
     "uri-template",
-    "webcolors>=1.11",
+    "webcolors>=24.6.0",
 ]
 files = [
-    {file = "jsonschema-4.22.0-py3-none-any.whl", hash = "sha256:ff4cfd6b1367a40e7bc6411caec72effadd3db0bbe5017de188f2d6108335802"},
-    {file = "jsonschema-4.22.0.tar.gz", hash = "sha256:5b22d434a45935119af990552c862e5d6d564e8f6601206b305a61fdf661a2b7"},
+    {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
+    {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
 ]
 
 [[package]]
 name = "jupyter-client"
-version = "8.6.1"
+version = "8.6.2"
 requires_python = ">=3.8"
 summary = "Jupyter protocol implementation and client libraries"
 groups = ["default"]
 dependencies = [
+    "importlib-metadata>=4.8.3; python_version < \"3.10\"",
     "jupyter-core!=5.0.*,>=4.12",
     "python-dateutil>=2.8.2",
     "pyzmq>=23.0",
@@ -1311,8 +1333,8 @@ dependencies = [
     "traitlets>=5.3",
 ]
 files = [
-    {file = "jupyter_client-8.6.1-py3-none-any.whl", hash = "sha256:3b7bd22f058434e3b9a7ea4b1500ed47de2713872288c0d511d19926f99b459f"},
-    {file = "jupyter_client-8.6.1.tar.gz", hash = "sha256:e842515e2bab8e19186d89fdfea7abd15e39dd581f94e399f00e2af5a1652d3f"},
+    {file = "jupyter_client-8.6.2-py3-none-any.whl", hash = "sha256:50cbc5c66fd1b8f65ecb66bc490ab73217993632809b6e505687de18e9dea39f"},
+    {file = "jupyter_client-8.6.2.tar.gz", hash = "sha256:2bda14d55ee5ba58552a8c53ae43d215ad9868853489213f37da060ced54d8df"},
 ]
 
 [[package]]
@@ -1358,6 +1380,7 @@ requires_python = ">=3.8"
 summary = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
 groups = ["default"]
 dependencies = [
+    "importlib-metadata>=4.8.3; python_version < \"3.10\"",
     "jupyter-server>=1.1.2",
 ]
 files = [
@@ -1367,7 +1390,7 @@ files = [
 
 [[package]]
 name = "jupyter-server"
-version = "2.14.0"
+version = "2.14.2"
 requires_python = ">=3.8"
 summary = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 groups = ["default"]
@@ -1393,8 +1416,8 @@ dependencies = [
     "websocket-client>=1.7",
 ]
 files = [
-    {file = "jupyter_server-2.14.0-py3-none-any.whl", hash = "sha256:fb6be52c713e80e004fac34b35a0990d6d36ba06fd0a2b2ed82b899143a64210"},
-    {file = "jupyter_server-2.14.0.tar.gz", hash = "sha256:659154cea512083434fd7c93b7fe0897af7a2fd0b9dd4749282b42eaac4ae677"},
+    {file = "jupyter_server-2.14.2-py3-none-any.whl", hash = "sha256:47ff506127c2f7851a17bf4713434208fc490955d0e8632e95014a9a9afbeefd"},
+    {file = "jupyter_server-2.14.2.tar.gz", hash = "sha256:66095021aa9638ced276c248b1d81862e4c50f292d575920bbe960de1c56b12b"},
 ]
 
 [[package]]
@@ -1414,13 +1437,15 @@ files = [
 
 [[package]]
 name = "jupyterlab"
-version = "4.2.0"
+version = "4.2.4"
 requires_python = ">=3.8"
 summary = "JupyterLab computational environment"
 groups = ["default"]
 dependencies = [
     "async-lru>=1.0.0",
     "httpx>=0.25.0",
+    "importlib-metadata>=4.8.3; python_version < \"3.10\"",
+    "importlib-resources>=1.4; python_version < \"3.9\"",
     "ipykernel>=6.5.0",
     "jinja2>=3.0.3",
     "jupyter-core",
@@ -1429,12 +1454,14 @@ dependencies = [
     "jupyterlab-server<3,>=2.27.1",
     "notebook-shim>=0.2",
     "packaging",
+    "setuptools>=40.1.0",
+    "tomli>=1.2.2; python_version < \"3.11\"",
     "tornado>=6.2.0",
     "traitlets",
 ]
 files = [
-    {file = "jupyterlab-4.2.0-py3-none-any.whl", hash = "sha256:0dfe9278e25a145362289c555d9beb505697d269c10e99909766af7c440ad3cc"},
-    {file = "jupyterlab-4.2.0.tar.gz", hash = "sha256:356e9205a6a2ab689c47c8fe4919dba6c076e376d03f26baadc05748c2435dd5"},
+    {file = "jupyterlab-4.2.4-py3-none-any.whl", hash = "sha256:807a7ec73637744f879e112060d4b9d9ebe028033b7a429b2d1f4fc523d00245"},
+    {file = "jupyterlab-4.2.4.tar.gz", hash = "sha256:343a979fb9582fd08c8511823e320703281cd072a0049bcdafdc7afeda7f2537"},
 ]
 
 [[package]]
@@ -1450,12 +1477,13 @@ files = [
 
 [[package]]
 name = "jupyterlab-server"
-version = "2.27.1"
+version = "2.27.3"
 requires_python = ">=3.8"
 summary = "A set of server components for JupyterLab and JupyterLab like applications."
 groups = ["default"]
 dependencies = [
     "babel>=2.10",
+    "importlib-metadata>=4.8.3; python_version < \"3.10\"",
     "jinja2>=3.0.3",
     "json5>=0.9.0",
     "jsonschema>=4.18.0",
@@ -1464,8 +1492,8 @@ dependencies = [
     "requests>=2.31",
 ]
 files = [
-    {file = "jupyterlab_server-2.27.1-py3-none-any.whl", hash = "sha256:f5e26156e5258b24d532c84e7c74cc212e203bff93eb856f81c24c16daeecc75"},
-    {file = "jupyterlab_server-2.27.1.tar.gz", hash = "sha256:097b5ac709b676c7284ac9c5e373f11930a561f52cd5a86e4fc7e5a9c8a8631d"},
+    {file = "jupyterlab_server-2.27.3-py3-none-any.whl", hash = "sha256:e697488f66c3db49df675158a77b3b017520d772c6e1548c7d9bcc5df7944ee4"},
+    {file = "jupyterlab_server-2.27.3.tar.gz", hash = "sha256:eb36caca59e74471988f0ae25c77945610b887f777255aa21f8065def9e51ed4"},
 ]
 
 [[package]]
@@ -1476,6 +1504,8 @@ summary = "Store and access your passwords safely."
 groups = ["default"]
 dependencies = [
     "SecretStorage>=3.2; sys_platform == \"linux\"",
+    "importlib-metadata>=4.11.4; python_version < \"3.12\"",
+    "importlib-resources; python_version < \"3.9\"",
     "jaraco-classes",
     "jaraco-context",
     "jaraco-functools",
@@ -1493,6 +1523,9 @@ version = "1.4.5"
 requires_python = ">=3.7"
 summary = "A fast implementation of the Cassowary constraint solver"
 groups = ["default"]
+dependencies = [
+    "typing-extensions; python_version < \"3.8\"",
+]
 files = [
     {file = "kiwisolver-1.4.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:32d5cf40c4f7c7b3ca500f8985eb3fb3a7dfc023215e876f207956b5ea26632a"},
     {file = "kiwisolver-1.4.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f846c260f483d1fd217fe5ed7c173fb109efa6b1fc8381c8b7552c5781756192"},
@@ -1563,7 +1596,7 @@ files = [
 
 [[package]]
 name = "matplotlib"
-version = "3.9.0"
+version = "3.9.1"
 requires_python = ">=3.9"
 summary = "Python plotting package"
 groups = ["default"]
@@ -1571,6 +1604,7 @@ dependencies = [
     "contourpy>=1.0.1",
     "cycler>=0.10",
     "fonttools>=4.22.0",
+    "importlib-resources>=3.2.0; python_version < \"3.10\"",
     "kiwisolver>=1.3.1",
     "numpy>=1.23",
     "packaging>=20.0",
@@ -1579,17 +1613,17 @@ dependencies = [
     "python-dateutil>=2.7",
 ]
 files = [
-    {file = "matplotlib-3.9.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:c79f3a585f1368da6049318bdf1f85568d8d04b2e89fc24b7e02cc9b62017382"},
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-    {file = "matplotlib-3.9.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0a490715b3b9984fa609116481b22178348c1a220a4499cda79132000a79b4db"},
-    {file = "matplotlib-3.9.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8146ce83cbc5dc71c223a74a1996d446cd35cfb6a04b683e1446b7e6c73603b7"},
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+    {file = "matplotlib-3.9.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0e835c6988edc3d2d08794f73c323cc62483e13df0194719ecb0723b564e0b5c"},
+    {file = "matplotlib-3.9.1-cp312-cp312-win_amd64.whl", hash = "sha256:44a21d922f78ce40435cb35b43dd7d573cf2a30138d5c4b709d19f00e3907fd7"},
+    {file = "matplotlib-3.9.1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:3fda72d4d472e2ccd1be0e9ccb6bf0d2eaf635e7f8f51d737ed7e465ac020cb3"},
+    {file = "matplotlib-3.9.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:84b3ba8429935a444f1fdc80ed930babbe06725bcf09fbeb5c8757a2cd74af04"},
+    {file = "matplotlib-3.9.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b918770bf3e07845408716e5bbda17eadfc3fcbd9307dc67f37d6cf834bb3d98"},
+    {file = "matplotlib-3.9.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:f1f2e5d29e9435c97ad4c36fb6668e89aee13d48c75893e25cef064675038ac9"},
+    {file = "matplotlib-3.9.1.tar.gz", hash = "sha256:de06b19b8db95dd33d0dc17c926c7c9ebed9f572074b6fac4f65068a6814d010"},
 ]
 
 [[package]]
@@ -1630,13 +1664,13 @@ files = [
 
 [[package]]
 name = "more-itertools"
-version = "10.2.0"
+version = "10.3.0"
 requires_python = ">=3.8"
 summary = "More routines for operating on iterables, beyond itertools"
 groups = ["default"]
 files = [
-    {file = "more-itertools-10.2.0.tar.gz", hash = "sha256:8fccb480c43d3e99a00087634c06dd02b0d50fbf088b380de5a41a015ec239e1"},
-    {file = "more_itertools-10.2.0-py3-none-any.whl", hash = "sha256:686b06abe565edfab151cb8fd385a05651e1fdf8f0a14191e4439283421f8684"},
+    {file = "more-itertools-10.3.0.tar.gz", hash = "sha256:e5d93ef411224fbcef366a6e8ddc4c5781bc6359d43412a65dd5964e46111463"},
+    {file = "more_itertools-10.3.0-py3-none-any.whl", hash = "sha256:ea6a02e24a9161e51faad17a8782b92a0df82c12c1c8886fec7f0c3fa1a1b320"},
 ]
 
 [[package]]
@@ -1687,6 +1721,7 @@ dependencies = [
     "beautifulsoup4",
     "bleach!=5.0.0",
     "defusedxml",
+    "importlib-metadata>=3.6; python_version < \"3.10\"",
     "jinja2>=3.0",
     "jupyter-core>=4.7",
     "jupyterlab-pygments",
@@ -1735,8 +1770,8 @@ files = [
 
 [[package]]
 name = "netcdf4"
-version = "1.6.5"
-requires_python = ">=3.7"
+version = "1.7.1.post1"
+requires_python = ">=3.8"
 summary = "Provides an object-oriented python interface to the netCDF version 4 library"
 groups = ["default"]
 dependencies = [
@@ -1745,26 +1780,23 @@ dependencies = [
     "numpy",
 ]
 files = [
-    {file = "netCDF4-1.6.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:19e16c63cdd7c0dbffe284a4a65f226ba1026f476f35cbedd099b4792b395f69"},
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-    {file = "netCDF4-1.6.5-cp312-cp312-win_amd64.whl", hash = "sha256:081e9043ac6160989f60570928eabe803c88ce7df1d3f79f2345dc48f68ef752"},
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 [[package]]
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 groups = ["dev"]
-marker = "python_version >= \"3.10\""
 dependencies = [
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@@ -2091,24 +2112,25 @@ dependencies = [
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 [[package]]
@@ -2152,6 +2174,7 @@ groups = ["default", "dev"]
 dependencies = [
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+    "typing-extensions>=4.12.2; python_version >= \"3.13\"",
     "typing-extensions>=4.6.1; python_version < \"3.13\"",
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 ]
 
+[[package]]
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+version = "0.9.0"
+requires_python = ">=3.8"
+summary = "Vectorized spatial vector file format I/O using GDAL/OGR"
+groups = ["default"]
+dependencies = [
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+    "numpy",
+    "packaging",
+]
+files = [
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 version = "3.1.2"
@@ -2266,19 +2309,21 @@ files = [
 
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+version = "8.3.1"
 requires_python = ">=3.8"
 summary = "pytest: simple powerful testing with Python"
 groups = ["dev"]
 dependencies = [
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+    "exceptiongroup>=1.0.0rc8; python_version < \"3.11\"",
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+    "pluggy<2,>=1.5",
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 [[package]]
@@ -2482,6 +2527,7 @@ dependencies = [
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+    "plum-dispatch<2.0.0; python_version < \"3.10\"",
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     "pydantic",
     "pyyaml",
@@ -2509,6 +2555,7 @@ dependencies = [
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     "cligj>=0.5",
+    "importlib-metadata; python_version < \"3.10\"",
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@@ -2538,8 +2585,8 @@ files = [
 
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-requires_python = ">=3.7"
+version = "2.32.3"
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 groups = ["default", "dev"]
 dependencies = [
@@ -2549,8 +2596,8 @@ dependencies = [
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@@ -2597,6 +2644,7 @@ groups = ["default", "dev"]
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@@ -2617,64 +2665,64 @@ dependencies = [
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-groups = ["default", "dev"]
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 groups = ["default"]
@@ -2793,14 +2843,13 @@ dependencies = [
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 [[package]]
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 groups = ["dev"]
 dependencies = [
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 [[package]]
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 groups = ["default"]
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 [[package]]
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@@ -3100,13 +3148,13 @@ files = [
 
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 requires_python = ">=3.8"
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 groups = ["default", "dev"]
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 [[package]]
@@ -3122,7 +3170,7 @@ files = [
 
 [[package]]
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-version = "0.15.2"
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 summary = "A utility to fetch and download python packages"
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@@ -3131,8 +3179,8 @@ dependencies = [
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 [[package]]
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 [[package]]
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 summary = "Virtual Python Environment builder"
 groups = ["default", "dev"]
 dependencies = [
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 [[package]]
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 summary = "Filesystem events monitoring"
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-    {file = "watchdog-4.0.0-py3-none-win_amd64.whl", hash = "sha256:f970663fa4f7e80401a7b0cbeec00fa801bf0287d93d48368fc3e6fa32716245"},
-    {file = "watchdog-4.0.0-py3-none-win_ia64.whl", hash = "sha256:9a03e16e55465177d416699331b0f3564138f1807ecc5f2de9d55d8f188d08c7"},
-    {file = "watchdog-4.0.0.tar.gz", hash = "sha256:e3e7065cbdabe6183ab82199d7a4f6b3ba0a438c5a512a68559846ccb76a78ec"},
+    {file = "watchdog-4.0.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:093b23e6906a8b97051191a4a0c73a77ecc958121d42346274c6af6520dec175"},
+    {file = "watchdog-4.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:611be3904f9843f0529c35a3ff3fd617449463cb4b73b1633950b3d97fa4bfb7"},
+    {file = "watchdog-4.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:62c613ad689ddcb11707f030e722fa929f322ef7e4f18f5335d2b73c61a85c28"},
+    {file = "watchdog-4.0.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:0144c0ea9997b92615af1d94afc0c217e07ce2c14912c7b1a5731776329fcfc7"},
+    {file = "watchdog-4.0.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:998d2be6976a0ee3a81fb8e2777900c28641fb5bfbd0c84717d89bca0addcdc5"},
+    {file = "watchdog-4.0.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:e7921319fe4430b11278d924ef66d4daa469fafb1da679a2e48c935fa27af193"},
+    {file = "watchdog-4.0.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:f0de0f284248ab40188f23380b03b59126d1479cd59940f2a34f8852db710625"},
+    {file = "watchdog-4.0.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:bca36be5707e81b9e6ce3208d92d95540d4ca244c006b61511753583c81c70dd"},
+    {file = "watchdog-4.0.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:ab998f567ebdf6b1da7dc1e5accfaa7c6992244629c0fdaef062f43249bd8dee"},
+    {file = "watchdog-4.0.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:dddba7ca1c807045323b6af4ff80f5ddc4d654c8bce8317dde1bd96b128ed253"},
+    {file = "watchdog-4.0.1-py3-none-manylinux2014_armv7l.whl", hash = "sha256:4513ec234c68b14d4161440e07f995f231be21a09329051e67a2118a7a612d2d"},
+    {file = "watchdog-4.0.1-py3-none-manylinux2014_i686.whl", hash = "sha256:4107ac5ab936a63952dea2a46a734a23230aa2f6f9db1291bf171dac3ebd53c6"},
+    {file = "watchdog-4.0.1-py3-none-manylinux2014_ppc64.whl", hash = "sha256:6e8c70d2cd745daec2a08734d9f63092b793ad97612470a0ee4cbb8f5f705c57"},
+    {file = "watchdog-4.0.1-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:f27279d060e2ab24c0aa98363ff906d2386aa6c4dc2f1a374655d4e02a6c5e5e"},
+    {file = "watchdog-4.0.1-py3-none-manylinux2014_s390x.whl", hash = "sha256:f8affdf3c0f0466e69f5b3917cdd042f89c8c63aebdb9f7c078996f607cdb0f5"},
+    {file = "watchdog-4.0.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ac7041b385f04c047fcc2951dc001671dee1b7e0615cde772e84b01fbf68ee84"},
+    {file = "watchdog-4.0.1-py3-none-win32.whl", hash = "sha256:206afc3d964f9a233e6ad34618ec60b9837d0582b500b63687e34011e15bb429"},
+    {file = "watchdog-4.0.1-py3-none-win_amd64.whl", hash = "sha256:7577b3c43e5909623149f76b099ac49a1a01ca4e167d1785c76eb52fa585745a"},
+    {file = "watchdog-4.0.1-py3-none-win_ia64.whl", hash = "sha256:d7b9f5f3299e8dd230880b6c55504a1f69cf1e4316275d1b215ebdd8187ec88d"},
+    {file = "watchdog-4.0.1.tar.gz", hash = "sha256:eebaacf674fa25511e8867028d281e602ee6500045b57f43b08778082f7f8b44"},
 ]
 
 [[package]]
@@ -3204,6 +3256,9 @@ name = "wcwidth"
 version = "0.2.13"
 summary = "Measures the displayed width of unicode strings in a terminal"
 groups = ["default"]
+dependencies = [
+    "backports-functools-lru-cache>=1.2.1; python_version < \"3.2\"",
+]
 files = [
     {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
     {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
@@ -3211,13 +3266,13 @@ files = [
 
 [[package]]
 name = "webcolors"
-version = "1.13"
-requires_python = ">=3.7"
+version = "24.6.0"
+requires_python = ">=3.8"
 summary = "A library for working with the color formats defined by HTML and CSS."
 groups = ["default"]
 files = [
-    {file = "webcolors-1.13-py3-none-any.whl", hash = "sha256:29bc7e8752c0a1bd4a1f03c14d6e6a72e93d82193738fa860cbff59d0fcc11bf"},
-    {file = "webcolors-1.13.tar.gz", hash = "sha256:c225b674c83fa923be93d235330ce0300373d02885cef23238813b0d5668304a"},
+    {file = "webcolors-24.6.0-py3-none-any.whl", hash = "sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1"},
+    {file = "webcolors-24.6.0.tar.gz", hash = "sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b"},
 ]
 
 [[package]]
@@ -3243,7 +3298,7 @@ files = [
 
 [[package]]
 name = "xarray"
-version = "2024.5.0"
+version = "2024.6.0"
 requires_python = ">=3.9"
 summary = "N-D labeled arrays and datasets in Python"
 groups = ["default"]
@@ -3253,39 +3308,17 @@ dependencies = [
     "pandas>=2.0",
 ]
 files = [
-    {file = "xarray-2024.5.0-py3-none-any.whl", hash = "sha256:7ddedfe2294a0ab00f02d0fbdcb9c6300ec589f3cf436a9c7b7b577a12cd9bcf"},
-    {file = "xarray-2024.5.0.tar.gz", hash = "sha256:e0eb1cb265f265126795f388ed9591f3c752f2aca491f6c0576711fd15b708f2"},
+    {file = "xarray-2024.6.0-py3-none-any.whl", hash = "sha256:721a7394e8ec3d592b2d8ebe21eed074ac077dc1bb1bd777ce00e41700b4866c"},
+    {file = "xarray-2024.6.0.tar.gz", hash = "sha256:0b91e0bc4dc0296947947640fe31ec6e867ce258d2f7cbc10bedf4a6d68340c7"},
 ]
 
 [[package]]
 name = "zipp"
-version = "3.18.2"
+version = "3.19.2"
 requires_python = ">=3.8"
 summary = "Backport of pathlib-compatible object wrapper for zip files"
 groups = ["dev"]
 files = [
-    {file = "zipp-3.18.2-py3-none-any.whl", hash = "sha256:dce197b859eb796242b0622af1b8beb0a722d52aa2f57133ead08edd5bf5374e"},
-    {file = "zipp-3.18.2.tar.gz", hash = "sha256:6278d9ddbcfb1f1089a88fde84481528b07b0e10474e09dcfe53dad4069fa059"},
-]
-
-[[package]]
-name = "zstandard"
-version = "0.22.0"
-requires_python = ">=3.8"
-summary = "Zstandard bindings for Python"
-groups = ["default"]
-dependencies = [
-    "cffi>=1.11; platform_python_implementation == \"PyPy\"",
-]
-files = [
-    {file = "zstandard-0.22.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:6c25b8eb733d4e741246151d895dd0308137532737f337411160ff69ca24f93a"},
-    {file = "zstandard-0.22.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f9b2cde1cd1b2a10246dbc143ba49d942d14fb3d2b4bccf4618d475c65464912"},
-    {file = "zstandard-0.22.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a88b7df61a292603e7cd662d92565d915796b094ffb3d206579aaebac6b85d5f"},
-    {file = "zstandard-0.22.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:466e6ad8caefb589ed281c076deb6f0cd330e8bc13c5035854ffb9c2014b118c"},
-    {file = "zstandard-0.22.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a1d67d0d53d2a138f9e29d8acdabe11310c185e36f0a848efa104d4e40b808e4"},
-    {file = "zstandard-0.22.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:39b2853efc9403927f9065cc48c9980649462acbdf81cd4f0cb773af2fd734bc"},
-    {file = "zstandard-0.22.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8a1b2effa96a5f019e72874969394edd393e2fbd6414a8208fea363a22803b45"},
-    {file = "zstandard-0.22.0-cp312-cp312-win32.whl", hash = "sha256:88c5b4b47a8a138338a07fc94e2ba3b1535f69247670abfe422de4e0b344aae2"},
-    {file = "zstandard-0.22.0-cp312-cp312-win_amd64.whl", hash = "sha256:de20a212ef3d00d609d0b22eb7cc798d5a69035e81839f549b538eff4105d01c"},
-    {file = "zstandard-0.22.0.tar.gz", hash = "sha256:8226a33c542bcb54cd6bd0a366067b610b41713b64c9abec1bc4533d69f51e70"},
+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
 ]
diff --git a/python/pyproject.toml b/python/pyproject.toml
index e008de5a..996dc986 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -38,6 +38,7 @@ dependencies = [
     "typer>=0.12.3",
     "seaborn>=0.13.2",
     "dill>=0.3.8",
+    "numpy<2",
 ]
 
 [project.scripts]

From cdbc9d7ed74857789a8cb63dc09bbfe631c293b3 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 21 Jul 2024 15:50:53 +0100
Subject: [PATCH 51/92] fix: add `libsqlite3-dev` for `docker` `jupyter` and
 `pre-commit` `--all`

---
 environment.yml                               |  1 +
 python/clim_recal/config.py                   |  2 -
 python/clim_recal/debiasing/debias_wrapper.py |  3 +-
 python/clim_recal/pipeline.py                 | 33 +++++-----
 python/clim_recal/resample.py                 |  3 -
 python/clim_recal/utils/gdal_formats.py       | 12 ++--
 python/clim_recal/utils/server.py             | 10 +--
 python/clim_recal/utils/xarray.py             | 10 +--
 python/conftest.py                            | 66 +++++++++----------
 python/tests/test_debiasing.py                |  1 +
 python/tests/test_resample.py                 | 12 ++--
 python/tests/utils.py                         | 17 ++---
 12 files changed, 83 insertions(+), 87 deletions(-)

diff --git a/environment.yml b/environment.yml
index 67dbbaeb..88b32615 100644
--- a/environment.yml
+++ b/environment.yml
@@ -7,6 +7,7 @@ dependencies:
   # - r-quarto=1.4
   - python=3.12
   - gdal=3.8.5
+  - libsqlite3-dev
   - parallel
   - rsync
 platforms:
diff --git a/python/clim_recal/config.py b/python/clim_recal/config.py
index ee95bffc..c0551edc 100644
--- a/python/clim_recal/config.py
+++ b/python/clim_recal/config.py
@@ -33,7 +33,6 @@
 
 
 class ClimRecalRunsConfigType(TypedDict):
-
     """Lists of parameters to generate `RunConfigType` instances."""
 
     regions: Sequence[RegionOptions] | None
@@ -47,7 +46,6 @@ class ClimRecalRunsConfigType(TypedDict):
 
 @dataclass
 class ClimRecalConfig(BaseRunConfig):
-
     """Manage creating command line scripts to run `debiasing` `cli`.
 
     Attributes
diff --git a/python/clim_recal/debiasing/debias_wrapper.py b/python/clim_recal/debiasing/debias_wrapper.py
index 4f455ca4..98a0f970 100644
--- a/python/clim_recal/debiasing/debias_wrapper.py
+++ b/python/clim_recal/debiasing/debias_wrapper.py
@@ -1,4 +1,5 @@
 """Wrapper for running `preprocess_data.py` and `run_cmethods.py`"""
+
 from dataclasses import dataclass
 from datetime import date
 from os import PathLike
@@ -63,7 +64,6 @@ class RunConfigType(TypedDict):
 
 @dataclass
 class BaseRunConfig:
-
     """Manage creating command line scripts to run `debiasing` `cli`."""
 
     command_dir: Path = COMMAND_DIR_DEFAULT
@@ -91,7 +91,6 @@ class BaseRunConfig:
 
 @dataclass
 class RunConfig(BaseRunConfig):
-
     """Manage creating command line scripts to run `debiasing` `cli`."""
 
     variable: VariableOptions | str = VariableOptions.default()
diff --git a/python/clim_recal/pipeline.py b/python/clim_recal/pipeline.py
index 0fc4fd4c..1d0872b0 100644
--- a/python/clim_recal/pipeline.py
+++ b/python/clim_recal/pipeline.py
@@ -131,6 +131,7 @@
 
 
 """
+
 from os import PathLike
 from pathlib import Path
 from typing import Final, Sequence
@@ -273,20 +274,20 @@ def main(
             print("Skipping CPM Strandard Calendar projection.")
         else:
             print("Running CPM Standard Calendar projection...")
-            cpm_resamplers: tuple[
-                CPMResampler, ...
-            ] = config.cpm_manager.execute_resample_configs(
-                multiprocess=multiprocess, cpus=cpus
+            cpm_resamplers: tuple[CPMResampler, ...] = (
+                config.cpm_manager.execute_resample_configs(
+                    multiprocess=multiprocess, cpus=cpus
+                )
             )
             print(cpm_resamplers[:print_range_length])
         if skip_hads_spatial_2k_projection:
             print("Skipping HADs aggregation to 2.2km spatial units.")
         else:
             print("Running HADs aggregation to 2.2km spatial units...")
-            hads_resamplers: tuple[
-                HADsResampler, ...
-            ] = config.hads_manager.execute_resample_configs(
-                multiprocess=multiprocess, cpus=cpus
+            hads_resamplers: tuple[HADsResampler, ...] = (
+                config.hads_manager.execute_resample_configs(
+                    multiprocess=multiprocess, cpus=cpus
+                )
             )
             print(hads_resamplers[:print_range_length])
         if skip_cropping or (not crop_cpm and not crop_hads):
@@ -296,10 +297,10 @@ def main(
                 print("Skipping cropping CPM Standard Calendar projections.")
             else:
                 print(f"Cropping CPMs to regions {config.regions}: ...")
-                cropped_cpm_resamplers: tuple[
-                    CPMResampler, ...
-                ] = config.cpm_manager.execute_crop_resamples(
-                    multiprocess=multiprocess, cpus=cpus
+                cropped_cpm_resamplers: tuple[CPMResampler, ...] = (
+                    config.cpm_manager.execute_crop_resamples(
+                        multiprocess=multiprocess, cpus=cpus
+                    )
                 )
                 print(cropped_cpm_resamplers[:print_range_length])
             if skip_cpm_standard_calendar_projection and not crop_hads:
@@ -308,10 +309,10 @@ def main(
                 print(
                     f"Cropping HADS 2.2km projections to regions {config.regions}: ..."
                 )
-                cropped_hads_resamplers: tuple[
-                    CPMResampler, ...
-                ] = config.hands_manager.execute_crop_resamples(
-                    multiprocess=multiprocess, cpus=cpus
+                cropped_hads_resamplers: tuple[CPMResampler, ...] = (
+                    config.hands_manager.execute_crop_resamples(
+                        multiprocess=multiprocess, cpus=cpus
+                    )
                 )
                 print(cropped_hads_resamplers[:print_range_length])
     else:
diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index b0efeda6..8c16375e 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -102,7 +102,6 @@ def reproject_2_2km_filename(path: Path) -> Path:
 
 @dataclass(kw_only=True)
 class ResamblerBase:
-
     """Base class to inherit for `HADs` and `CPM`."""
 
     input_path: PathLike | None = RAW_HADS_TASMAX_PATH
@@ -641,7 +640,6 @@ def __getstate__(self):
 
 @dataclass(kw_only=True)
 class HADsResamplerManager:
-
     """Class to manage processing HADs resampling.
 
     Attributes
@@ -863,7 +861,6 @@ def execute_resample_configs(
 
 @dataclass(kw_only=True, repr=False)
 class CPMResamplerManager(HADsResamplerManager):
-
     """Class to manage processing CPM resampling.
 
     Examples
diff --git a/python/clim_recal/utils/gdal_formats.py b/python/clim_recal/utils/gdal_formats.py
index b40b3ff7..faafc217 100644
--- a/python/clim_recal/utils/gdal_formats.py
+++ b/python/clim_recal/utils/gdal_formats.py
@@ -1,12 +1,12 @@
 from typing import Final, Literal, get_args
 
-CPM_RAW_PROJ4: Final[
-    str
-] = "+proj=ob_tran +o_proj=longlat +o_lon_p=0 +o_lat_p=37.5 +lon_0=357.5 +R=6371229 +no_defs=True"
+CPM_RAW_PROJ4: Final[str] = (
+    "+proj=ob_tran +o_proj=longlat +o_lon_p=0 +o_lat_p=37.5 +lon_0=357.5 +R=6371229 +no_defs=True"
+)
 
-HADS_RAW_PROJ4: Final[
-    str
-] = "+proj=tmerc +lat_0=49 +lon_0=-2 +k=0.9996012717 +x_0=400000 +y_0=-100000 +a=6377563.396 +rf=299.324961266495 +units=m +no_defs=True"
+HADS_RAW_PROJ4: Final[str] = (
+    "+proj=tmerc +lat_0=49 +lon_0=-2 +k=0.9996012717 +x_0=400000 +y_0=-100000 +a=6377563.396 +rf=299.324961266495 +units=m +no_defs=True"
+)
 
 GDALFormatsType = Literal[
     "VRT",
diff --git a/python/clim_recal/utils/server.py b/python/clim_recal/utils/server.py
index b8e15458..4220e323 100644
--- a/python/clim_recal/utils/server.py
+++ b/python/clim_recal/utils/server.py
@@ -1,4 +1,5 @@
 """Utility functions."""
+
 import subprocess
 from copy import deepcopy
 from dataclasses import dataclass, field
@@ -52,9 +53,11 @@ def kwargs_to_cli_str(space_prefix: bool = True, **kwargs) -> str:
     """
     if kwargs:
         cmd_str: str = " ".join(
-            f"{'--' + key.replace('_', '-')} {val}"
-            if type(val) != bool
-            else f"{'--' + key if val else '--not-' + key}"
+            (
+                f"{'--' + key.replace('_', '-')} {val}"
+                if type(val) != bool
+                else f"{'--' + key if val else '--not-' + key}"
+            )
             for key, val in kwargs.items()
         )
         return cmd_str if not space_prefix else " " + cmd_str
@@ -97,7 +100,6 @@ def set_and_pop_attr_kwargs(instance: Any, **kwargs) -> dict[str, Any]:
 
 @dataclass
 class CondaLockFileManager:
-
     """Run `conda_lock` `install` to generate `conda` `yml`.
 
     Attributes
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index b9483e43..651ed64d 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -119,10 +119,10 @@ def cpm_xarray_to_standard_calendar(
     cpm_to_std_calendar: T_Dataset = convert_xr_calendar(
         cpm_xr_time_series, interpolate_na=True, check_cftime_cols=("time_bnds",)
     )
-    cpm_to_std_calendar[
-        "month_number"
-    ] = cpm_to_std_calendar.month_number.interpolate_na(
-        "time", fill_value="extrapolate"
+    cpm_to_std_calendar["month_number"] = (
+        cpm_to_std_calendar.month_number.interpolate_na(
+            "time", fill_value="extrapolate"
+        )
     )
     cpm_to_std_calendar["year"] = cpm_to_std_calendar.year.interpolate_na(
         "time", fill_value="extrapolate"
@@ -521,7 +521,7 @@ def hads_resample_and_reproject(
         y_dim_name=y_dim_name,
         match_xr_time_series=cpm_to_match,
         match_xr_time_series_load_func=cpm_to_match_func,
-        resampling_method=VariableOptions.resampling_method(variable_name)
+        resampling_method=VariableOptions.resampling_method(variable_name),
         # match_xr_time_series_load_kwargs=dict(variable_name=variable_name),
     )
     return epsg_277000_2_2km
diff --git a/python/conftest.py b/python/conftest.py
index effd5aa5..cf22f595 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -49,9 +49,9 @@
 )
 
 MOUNT_DOCTEST_SKIP_MESSAGE: Final[str] = "requires external data mounted"
-MOUNT_OR_CACHE_DOCTEST_SKIP_MESSAGE: Final[
-    str
-] = "requires external data mounted or cached"
+MOUNT_OR_CACHE_DOCTEST_SKIP_MESSAGE: Final[str] = (
+    "requires external data mounted or cached"
+)
 
 BADGE_PATH: Final[Path] = Path("docs") / "assets" / "coverage.svg"
 CLIMATE_DATA_MOUNT_PATH_LINUX: Final[Path] = Path("/mnt/vmfileshare/ClimateData")
@@ -455,29 +455,29 @@ def doctest_auto_fixtures(
     clim_runner: ClimRecalConfig,
 ) -> None:
     """Elements to add to default `doctest` namespace."""
-    doctest_namespace[
-        "CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT"
-    ] = CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT
-    doctest_namespace[
-        "CLI_PREPROCESS_DEFAULT_COMMAND_STR_CORRECT"
-    ] = CLI_PREPROCESS_DEFAULT_COMMAND_STR_CORRECT
-    doctest_namespace[
-        "CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT"
-    ] = CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT
+    doctest_namespace["CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT"] = (
+        CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT
+    )
+    doctest_namespace["CLI_PREPROCESS_DEFAULT_COMMAND_STR_CORRECT"] = (
+        CLI_PREPROCESS_DEFAULT_COMMAND_STR_CORRECT
+    )
+    doctest_namespace["CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT"] = (
+        CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT
+    )
     doctest_namespace["MOD_FOLDER_FILES_COUNT_CORRECT"] = MOD_FOLDER_FILES_COUNT_CORRECT
     doctest_namespace["OBS_FOLDER_FILES_COUNT_CORRECT"] = OBS_FOLDER_FILES_COUNT_CORRECT
-    doctest_namespace[
-        "PREPROCESS_OUT_FOLDER_FILES_COUNT_CORRECT"
-    ] = preprocess_out_folder_files_count_correct
-    doctest_namespace[
-        "CLI_CMEHTODS_DEFAULT_COMMAND_TUPLE_STR_CORRECT"
-    ] = CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_STR_CORRECT
-    doctest_namespace[
-        "CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT"
-    ] = CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT
-    doctest_namespace[
-        "CLI_CMETHODS_DEFAULT_COMMAND_STR_CORRECT"
-    ] = CLI_CMETHODS_DEFAULT_COMMAND_STR_CORRECT
+    doctest_namespace["PREPROCESS_OUT_FOLDER_FILES_COUNT_CORRECT"] = (
+        preprocess_out_folder_files_count_correct
+    )
+    doctest_namespace["CLI_CMEHTODS_DEFAULT_COMMAND_TUPLE_STR_CORRECT"] = (
+        CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_STR_CORRECT
+    )
+    doctest_namespace["CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT"] = (
+        CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT
+    )
+    doctest_namespace["CLI_CMETHODS_DEFAULT_COMMAND_STR_CORRECT"] = (
+        CLI_CMETHODS_DEFAULT_COMMAND_STR_CORRECT
+    )
     doctest_namespace["TEST_AUTH_CSV_PATH"] = TEST_AUTH_CSV_FILE_NAME
     doctest_namespace["is_platform_darwin"] = is_platform_darwin()
     doctest_namespace["is_data_mounted"] = is_data_mounted
@@ -485,9 +485,9 @@ def doctest_auto_fixtures(
     doctest_namespace["pprint"] = pprint
     doctest_namespace["pytest"] = pytest
     doctest_namespace["xarray_spatial_4_days"] = xarray_spatial_4_days
-    doctest_namespace[
-        "xarray_spatial_6_days_2_skipped"
-    ] = xarray_spatial_6_days_2_skipped
+    doctest_namespace["xarray_spatial_6_days_2_skipped"] = (
+        xarray_spatial_6_days_2_skipped
+    )
     doctest_namespace["xarray_spatial_8_days"] = xarray_spatial_8_days
     doctest_namespace["xarray_spatial_4_years"] = xarray_spatial_4_years
     doctest_namespace["xarray_spatial_4_years_360_day"] = xarray_spatial_4_years_360_day
@@ -500,12 +500,12 @@ def doctest_auto_fixtures(
     doctest_namespace["resample_test_hads_output_path"] = resample_test_hads_output_path
     doctest_namespace["resample_test_cpm_output_path"] = resample_test_cpm_output_path
     doctest_namespace["mount_doctest_skip_message"] = MOUNT_DOCTEST_SKIP_MESSAGE
-    doctest_namespace[
-        "mount_or_cache_doctest_skip_message"
-    ] = MOUNT_OR_CACHE_DOCTEST_SKIP_MESSAGE
-    doctest_namespace[
-        "glasgow_example_cropped_cpm_rainfall_path"
-    ] = glasgow_example_cropped_cpm_rainfall_path
+    doctest_namespace["mount_or_cache_doctest_skip_message"] = (
+        MOUNT_OR_CACHE_DOCTEST_SKIP_MESSAGE
+    )
+    doctest_namespace["glasgow_example_cropped_cpm_rainfall_path"] = (
+        glasgow_example_cropped_cpm_rainfall_path
+    )
     doctest_namespace["clim_runner"] = clim_runner
 
 
diff --git a/python/tests/test_debiasing.py b/python/tests/test_debiasing.py
index 6ca75642..6d46ec2b 100644
--- a/python/tests/test_debiasing.py
+++ b/python/tests/test_debiasing.py
@@ -2,6 +2,7 @@
 Test generating and running `debiasing` scripts
 
 """
+
 import subprocess
 from os import chdir
 from pathlib import Path
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index c9d87554..3ee2c7b6 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -405,9 +405,9 @@ def test_cpm_xarray_to_standard_calendar(
     Indexing differs between `include_bnds_index` ``bool`.
     ```
     """
-    CORRECT_PROJ4: Final[
-        str
-    ] = "+proj=ob_tran +o_proj=longlat +o_lon_p=0 +o_lat_p=37.5 +lon_0=357.5 +R=6371229 +no_defs=True"
+    CORRECT_PROJ4: Final[str] = (
+        "+proj=ob_tran +o_proj=longlat +o_lon_p=0 +o_lat_p=37.5 +lon_0=357.5 +R=6371229 +no_defs=True"
+    )
     test_converted = cpm_xarray_to_standard_calendar(
         tasmax_cpm_1980_raw, include_bnds_index=include_bnds_index
     )
@@ -810,9 +810,9 @@ def test_execute_resample_configs(
         output_paths=tmp_path,
         stop_index=1,
     )
-    resamplers: tuple[
-        HADsResampler | CPMResampler, ...
-    ] = test_config.execute_resample_configs(multiprocess=multiprocess)
+    resamplers: tuple[HADsResampler | CPMResampler, ...] = (
+        test_config.execute_resample_configs(multiprocess=multiprocess)
+    )
     export: T_Dataset = open_dataset(resamplers[0][0])
     assert len(export.time) == 31
     assert not np.isnan(export.tasmax[0][200:300].values).all()
diff --git a/python/tests/utils.py b/python/tests/utils.py
index 9f5eab50..c39ca9fc 100644
--- a/python/tests/utils.py
+++ b/python/tests/utils.py
@@ -136,9 +136,9 @@
     VALID_DATES_STR_DEFAULT,
 )
 
-CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT: Final[
-    tuple[str, ...]
-] = iter_to_tuple_strs(CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT)
+CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT: Final[tuple[str, ...]] = (
+    iter_to_tuple_strs(CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT)
+)
 
 CLI_PREPROCESS_DEFAULT_COMMAND_STR_CORRECT: Final[str] = " ".join(
     CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT
@@ -164,9 +164,9 @@
     PROCESSORS_DEFAULT,
 )
 
-CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_STR_CORRECT: Final[
-    tuple[str, ...]
-] = iter_to_tuple_strs(CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT)
+CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_STR_CORRECT: Final[tuple[str, ...]] = (
+    iter_to_tuple_strs(CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT)
+)
 
 CLI_CMETHODS_DEFAULT_COMMAND_STR_CORRECT: Final[str] = " ".join(
     CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_STR_CORRECT
@@ -177,8 +177,7 @@
 PREPROCESS_OUT_FOLDER_FILES_COUNT_CORRECT: Final[int] = 4
 
 
-class StandardWith360DayError(Exception):
-    ...
+class StandardWith360DayError(Exception): ...
 
 
 def year_days_count(
@@ -325,7 +324,6 @@ def xarray_example(
 
 @dataclass
 class LocalCache:
-
     """Manager for caching files locally.
 
     Attributes
@@ -513,7 +511,6 @@ def read(self, cache_path: bool = True, run_sync: bool = False, **kwargs) -> Any
 
 @dataclass
 class LocalCachesManager(UserDict):
-
     """Manager for a set of local caches.
 
     Attributes

From 7632d915cc1af9e4d8dd0f4e9ac0791923bcf826 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 21 Jul 2024 16:08:26 +0100
Subject: [PATCH 52/92] fix: replace `libsqlite3-dev` -> `sqlite`

---
 .conda-linux-64.lock | 2 +-
 conda-lock.yml       | 6 +++---
 environment.yml      | 2 +-
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/.conda-linux-64.lock b/.conda-linux-64.lock
index c7207834..cce95fd3 100644
--- a/.conda-linux-64.lock
+++ b/.conda-linux-64.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 2b519e031a7313cf1177defbb5591df97a746f96bfb527d745b65470b3097ab4
+# input_hash: 572b53224d3c02aeae693e83d2bf48d2b7d707b585133e5d5f05f188b7b8085a
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://repo.anaconda.com/pkgs/main/linux-64/blas-1.0-openblas.conda#9ddfcaef10d79366c90128f5dc444be8
diff --git a/conda-lock.yml b/conda-lock.yml
index 995a4601..995d6089 100644
--- a/conda-lock.yml
+++ b/conda-lock.yml
@@ -15,9 +15,9 @@
 version: 1
 metadata:
   content_hash:
-    osx-arm64: 5562ebbbde26d06224cb64f7d420208fab18e9445bc7bc30a7cb3f9c5c26a2a7
-    linux-64: 2b519e031a7313cf1177defbb5591df97a746f96bfb527d745b65470b3097ab4
-    linux-aarch64: 7de86e8d53c5d2e40886c674b7867d8799c24b61cebf2e747ddd68c961de0dc9
+    osx-arm64: 8938b621f1f67d15e3b3edd26f65e84d592fd61cdbf38574c41b198a2ba595e1
+    linux-64: 572b53224d3c02aeae693e83d2bf48d2b7d707b585133e5d5f05f188b7b8085a
+    linux-aarch64: 714ad061bda9afe74379b5fc4eb1f092645c3c75d6d3fabedf02122b5a46bcb4
   channels:
   - url: r
     used_env_vars: []
diff --git a/environment.yml b/environment.yml
index 88b32615..5803f681 100644
--- a/environment.yml
+++ b/environment.yml
@@ -7,7 +7,7 @@ dependencies:
   # - r-quarto=1.4
   - python=3.12
   - gdal=3.8.5
-  - libsqlite3-dev
+  - sqlite
   - parallel
   - rsync
 platforms:

From d03235cfa2acf73a4af767646d8d0196dbfdc330 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 21 Jul 2024 16:16:43 +0100
Subject: [PATCH 53/92] fix: remove `sqlite`

---
 .conda-linux-64.lock | 2 +-
 conda-lock.yml       | 6 +++---
 environment.yml      | 1 -
 3 files changed, 4 insertions(+), 5 deletions(-)

diff --git a/.conda-linux-64.lock b/.conda-linux-64.lock
index cce95fd3..c7207834 100644
--- a/.conda-linux-64.lock
+++ b/.conda-linux-64.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 572b53224d3c02aeae693e83d2bf48d2b7d707b585133e5d5f05f188b7b8085a
+# input_hash: 2b519e031a7313cf1177defbb5591df97a746f96bfb527d745b65470b3097ab4
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://repo.anaconda.com/pkgs/main/linux-64/blas-1.0-openblas.conda#9ddfcaef10d79366c90128f5dc444be8
diff --git a/conda-lock.yml b/conda-lock.yml
index 995d6089..995a4601 100644
--- a/conda-lock.yml
+++ b/conda-lock.yml
@@ -15,9 +15,9 @@
 version: 1
 metadata:
   content_hash:
-    osx-arm64: 8938b621f1f67d15e3b3edd26f65e84d592fd61cdbf38574c41b198a2ba595e1
-    linux-64: 572b53224d3c02aeae693e83d2bf48d2b7d707b585133e5d5f05f188b7b8085a
-    linux-aarch64: 714ad061bda9afe74379b5fc4eb1f092645c3c75d6d3fabedf02122b5a46bcb4
+    osx-arm64: 5562ebbbde26d06224cb64f7d420208fab18e9445bc7bc30a7cb3f9c5c26a2a7
+    linux-64: 2b519e031a7313cf1177defbb5591df97a746f96bfb527d745b65470b3097ab4
+    linux-aarch64: 7de86e8d53c5d2e40886c674b7867d8799c24b61cebf2e747ddd68c961de0dc9
   channels:
   - url: r
     used_env_vars: []
diff --git a/environment.yml b/environment.yml
index 5803f681..67dbbaeb 100644
--- a/environment.yml
+++ b/environment.yml
@@ -7,7 +7,6 @@ dependencies:
   # - r-quarto=1.4
   - python=3.12
   - gdal=3.8.5
-  - sqlite
   - parallel
   - rsync
 platforms:

From 8373878140f42357fc29e0284fc1679b8c0aed2d Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 21 Jul 2024 20:35:37 +0100
Subject: [PATCH 54/92] fix: `docker` `jupyter` config for server

---
 compose.yml                | 7 +++++++
 compose/jupyter/Dockerfile | 6 ++++++
 2 files changed, 13 insertions(+)

diff --git a/compose.yml b/compose.yml
index ba16309c..01d01c72 100644
--- a/compose.yml
+++ b/compose.yml
@@ -6,6 +6,13 @@ services:
       dockerfile: ./compose/jupyter/Dockerfile
     ports:
       - "8888:8888"
+    environment:
+      - NB_UID=1000
+      - NB_GID=100
+      - NB_GROUP=users
+      - CHOWN_HOME=yes
+      - CHOWN_HOME_OPTS=-R
+      - JUPYTER_ENABLE_LAB=yes
     volumes:
       - .:/home/jovyan:rw
 
diff --git a/compose/jupyter/Dockerfile b/compose/jupyter/Dockerfile
index 8e4c2ad3..a3004da7 100644
--- a/compose/jupyter/Dockerfile
+++ b/compose/jupyter/Dockerfile
@@ -27,6 +27,8 @@ RUN \
 # Needed for write permission
 USER root
 
+RUN sudo apt-get update && sudo apt-get install -y build-essential
+
 # First line changes a startup hook, which will activate the custom environment
 RUN \
     echo conda activate "${env_name}" >> /usr/local/bin/before-notebook.d/10activate-conda-env.sh && \
@@ -37,6 +39,10 @@ RUN chown -R ${NB_USER} /home/${NB_USER}
 
 USER ${NB_UID}
 
+
+RUN conda update -n ${env_name} -y --all && \
+    conda install -n ${env_name} -y pysqlite3
+
 COPY . .
 
 # This makes the custom environment default in Jupyter Terminals for already existing NB_USER

From 5948235c6408a1412db3155587e2732fe9bc2590 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 21 Jul 2024 20:56:03 +0100
Subject: [PATCH 55/92] fix: `tqdm.rich` -> `tqdm.tqdm` to fix running multiple
 `cpm` as groups

---
 python/clim_recal/utils/xarray.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 651ed64d..5f84db20 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -24,7 +24,7 @@
 from osgeo.gdal import config_option as config_GDAL_option
 from pandas import DatetimeIndex, date_range
 from rasterio.enums import Resampling
-from tqdm.rich import tqdm
+from tqdm import tqdm
 from xarray import CFTimeIndex, DataArray, Dataset, cftime_range, open_dataset
 from xarray.coding.calendar_ops import convert_calendar
 from xarray.core.types import (
@@ -214,8 +214,8 @@ def cpm_reproject_with_standard_calendar(
     >>> tasmax_cpm_1980_365_day: T_Dataset = cpm_reproject_with_standard_calendar(
     ...     cpm_xr_time_series=tasmax_cpm_1980_raw,
     ...     variable_name="tasmax")
-    Warp:      ...nc 100% ...
-    Translate: ...tif 100% ...
+    Warp:      ...nc ...100%...
+    Translate: ...tif ...100%...
     >>> tasmax_cpm_1980_365_day
     <xarray.Dataset>
     Dimensions:              (time: 365, x: 493, y: 607)

From c830f4bc78c48e8c1eda006efc0090ec37f6b1a1 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 21 Jul 2024 21:01:03 +0100
Subject: [PATCH 56/92] fix(ci): add `root` permission on `jupyter`
 `compose.yml`

---
 compose.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/compose.yml b/compose.yml
index 01d01c72..8373093a 100644
--- a/compose.yml
+++ b/compose.yml
@@ -6,6 +6,7 @@ services:
       dockerfile: ./compose/jupyter/Dockerfile
     ports:
       - "8888:8888"
+    user: root
     environment:
       - NB_UID=1000
       - NB_GID=100

From eb16210e2918f494ba8e12d5c22a8a692549ebe0 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 23 Jul 2024 14:39:41 +0100
Subject: [PATCH 57/92] fix: `hads` `cpm` alignment and `conda` `jupyter`
 deploy

---
 check_calendar_log.txt | 1943 ----------------------------------------
 1 file changed, 1943 deletions(-)
 delete mode 100644 check_calendar_log.txt

diff --git a/check_calendar_log.txt b/check_calendar_log.txt
deleted file mode 100644
index 203d1b21..00000000
--- a/check_calendar_log.txt
+++ /dev/null
@@ -1,1943 +0,0 @@
-******************** Comparing raw data:  /Volumes/vmfileshare/ClimateData/Raw/HadsUKgrid/tasmax/day ********************
-******************** to resampled data: /Volumes/vmfileshare/ClimateData/Processed/HadsUKgrid/resampled_2.2km/tasmax/day ********************
-File: tasmax_hadukgrid_uk_1km_day_19800101-19800131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1980-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19800301-19800331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1980-03-31'}
-Dates in resampled not in raw: {'1980-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19800401-19800430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1980-04-30'}
-Dates in resampled not in raw: {'1980-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19800501-19800531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1980-05-31'}
-Dates in resampled not in raw: {'1980-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19800601-19800630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1980-06-30'}
-Dates in resampled not in raw: {'1980-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19800701-19800731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1980-07-31'}
-Dates in resampled not in raw: {'1980-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19800801-19800831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1980-08-31'}
-Dates in resampled not in raw: {'1980-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19801001-19801031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1980-10-31'}
-Dates in resampled not in raw: {'1980-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19801201-19801231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1980-12-31'}
-Dates in resampled not in raw: {'1980-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19810101-19810131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1981-01-31'}
-Dates in resampled not in raw: {'1981-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19810201-19810228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1981-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19810301-19810331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1981-03-31', '1981-03-30'}
-Dates in resampled not in raw: {'1981-02-29', '1981-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19810401-19810430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1981-04-30', '1981-04-29'}
-Dates in resampled not in raw: {'1981-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19810501-19810531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1981-05-31', '1981-05-30'}
-Dates in resampled not in raw: {'1981-04-30', '1981-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_19810601-19810630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1981-06-30'}
-Dates in resampled not in raw: {'1981-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19810701-19810731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1981-07-31', '1981-07-30'}
-Dates in resampled not in raw: {'1981-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19810801-19810831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1981-08-31'}
-Dates in resampled not in raw: {'1981-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19810901-19810930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1981-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19811001-19811031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1981-10-31'}
-Dates in resampled not in raw: {'1981-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19811101-19811130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1981-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19811201-19811231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1981-12-31'}
-Dates in resampled not in raw: {'1981-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19820101-19820131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1982-01-31'}
-Dates in resampled not in raw: {'1982-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19820201-19820228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1982-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19820301-19820331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1982-03-31', '1982-03-30'}
-Dates in resampled not in raw: {'1982-02-29', '1982-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19820401-19820430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1982-04-29', '1982-04-30'}
-Dates in resampled not in raw: {'1982-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19820501-19820531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1982-05-31', '1982-05-30'}
-Dates in resampled not in raw: {'1982-04-29', '1982-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19820601-19820630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1982-06-30'}
-Dates in resampled not in raw: {'1982-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19820701-19820731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1982-07-30', '1982-07-31'}
-Dates in resampled not in raw: {'1982-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19820801-19820831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1982-08-31'}
-Dates in resampled not in raw: {'1982-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19820901-19820930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1982-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19821001-19821031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1982-10-31'}
-Dates in resampled not in raw: {'1982-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19821101-19821130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1982-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19821201-19821231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1982-12-31'}
-Dates in resampled not in raw: {'1982-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19830101-19830131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1983-01-31'}
-Dates in resampled not in raw: {'1983-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19830201-19830228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1983-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19830301-19830331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1983-03-30', '1983-03-31'}
-Dates in resampled not in raw: {'1983-02-30', '1983-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19830401-19830430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1983-04-29', '1983-04-30'}
-Dates in resampled not in raw: {'1983-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19830501-19830531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1983-05-31', '1983-05-30'}
-Dates in resampled not in raw: {'1983-04-29', '1983-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19830601-19830630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1983-06-30'}
-Dates in resampled not in raw: {'1983-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19830701-19830731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1983-07-31', '1983-07-30'}
-Dates in resampled not in raw: {'1983-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19830801-19830831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1983-08-31'}
-Dates in resampled not in raw: {'1983-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19830901-19830930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1983-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19831001-19831031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1983-10-31'}
-Dates in resampled not in raw: {'1983-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19831101-19831130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1983-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19831201-19831231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1983-12-31'}
-Dates in resampled not in raw: {'1983-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19840101-19840131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1984-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19840301-19840331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1984-03-31'}
-Dates in resampled not in raw: {'1984-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19840401-19840430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1984-04-30'}
-Dates in resampled not in raw: {'1984-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19840501-19840531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1984-05-31'}
-Dates in resampled not in raw: {'1984-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19840601-19840630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1984-06-30'}
-Dates in resampled not in raw: {'1984-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19840701-19840731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1984-07-31'}
-Dates in resampled not in raw: {'1984-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19840801-19840831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1984-08-31'}
-Dates in resampled not in raw: {'1984-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19841001-19841031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1984-10-31'}
-Dates in resampled not in raw: {'1984-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19841201-19841231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1984-12-31'}
-Dates in resampled not in raw: {'1984-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19850101-19850131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1985-01-31'}
-Dates in resampled not in raw: {'1985-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19850201-19850228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1985-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19850301-19850331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1985-03-31', '1985-03-30'}
-Dates in resampled not in raw: {'1985-02-29', '1985-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19850401-19850430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1985-04-30', '1985-04-29'}
-Dates in resampled not in raw: {'1985-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19850501-19850531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1985-05-31', '1985-05-30'}
-Dates in resampled not in raw: {'1985-04-30', '1985-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_19850601-19850630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1985-06-30'}
-Dates in resampled not in raw: {'1985-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19850701-19850731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1985-07-31', '1985-07-30'}
-Dates in resampled not in raw: {'1985-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19850801-19850831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1985-08-31'}
-Dates in resampled not in raw: {'1985-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19850901-19850930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1985-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19851001-19851031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1985-10-31'}
-Dates in resampled not in raw: {'1985-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19851101-19851130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1985-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19851201-19851231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1985-12-31'}
-Dates in resampled not in raw: {'1985-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19860101-19860131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1986-01-31'}
-Dates in resampled not in raw: {'1986-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19860201-19860228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1986-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19860301-19860331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1986-03-31', '1986-03-30'}
-Dates in resampled not in raw: {'1986-02-30', '1986-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19860401-19860430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1986-04-30', '1986-04-29'}
-Dates in resampled not in raw: {'1986-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19860501-19860531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1986-05-30', '1986-05-31'}
-Dates in resampled not in raw: {'1986-04-30', '1986-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_19860601-19860630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1986-06-30'}
-Dates in resampled not in raw: {'1986-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19860701-19860731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1986-07-30', '1986-07-31'}
-Dates in resampled not in raw: {'1986-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19860801-19860831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1986-08-31'}
-Dates in resampled not in raw: {'1986-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19860901-19860930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1986-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19861001-19861031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1986-10-31'}
-Dates in resampled not in raw: {'1986-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19861101-19861130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1986-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19861201-19861231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1986-12-31'}
-Dates in resampled not in raw: {'1986-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19870101-19870131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1987-01-31'}
-Dates in resampled not in raw: {'1987-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19870201-19870228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1987-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19870301-19870331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1987-03-30', '1987-03-31'}
-Dates in resampled not in raw: {'1987-02-30', '1987-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19870401-19870430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1987-04-29', '1987-04-30'}
-Dates in resampled not in raw: {'1987-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19870501-19870531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1987-05-31', '1987-05-30'}
-Dates in resampled not in raw: {'1987-04-29', '1987-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19870601-19870630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1987-06-30'}
-Dates in resampled not in raw: {'1987-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19870701-19870731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1987-07-31', '1987-07-30'}
-Dates in resampled not in raw: {'1987-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19870801-19870831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1987-08-31'}
-Dates in resampled not in raw: {'1987-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19870901-19870930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1987-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19871001-19871031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1987-10-31'}
-Dates in resampled not in raw: {'1987-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19871101-19871130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1987-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19871201-19871231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1987-12-31'}
-Dates in resampled not in raw: {'1987-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19880101-19880131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1988-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19880301-19880331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1988-03-31'}
-Dates in resampled not in raw: {'1988-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19880401-19880430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1988-04-30'}
-Dates in resampled not in raw: {'1988-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19880501-19880531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1988-05-31'}
-Dates in resampled not in raw: {'1988-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19880601-19880630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1988-06-30'}
-Dates in resampled not in raw: {'1988-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19880701-19880731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1988-07-31'}
-Dates in resampled not in raw: {'1988-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19880801-19880831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1988-08-31'}
-Dates in resampled not in raw: {'1988-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19881001-19881031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1988-10-31'}
-Dates in resampled not in raw: {'1988-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19881201-19881231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1988-12-31'}
-Dates in resampled not in raw: {'1988-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19890101-19890131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1989-01-31'}
-Dates in resampled not in raw: {'1989-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19890201-19890228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1989-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19890301-19890331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1989-03-31', '1989-03-30'}
-Dates in resampled not in raw: {'1989-02-29', '1989-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19890401-19890430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1989-04-29', '1989-04-30'}
-Dates in resampled not in raw: {'1989-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19890501-19890531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1989-05-31', '1989-05-30'}
-Dates in resampled not in raw: {'1989-04-29', '1989-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19890601-19890630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1989-06-30'}
-Dates in resampled not in raw: {'1989-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19890701-19890731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1989-07-30', '1989-07-31'}
-Dates in resampled not in raw: {'1989-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19890801-19890831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1989-08-31'}
-Dates in resampled not in raw: {'1989-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19890901-19890930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1989-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19891001-19891031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1989-10-31'}
-Dates in resampled not in raw: {'1989-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19891101-19891130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1989-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19891201-19891231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1989-12-31'}
-Dates in resampled not in raw: {'1989-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19900101-19900131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1990-01-31'}
-Dates in resampled not in raw: {'1990-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19900201-19900228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1990-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19900301-19900331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1990-03-30', '1990-03-31'}
-Dates in resampled not in raw: {'1990-02-29', '1990-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19900401-19900430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1990-04-30', '1990-04-29'}
-Dates in resampled not in raw: {'1990-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19900501-19900531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1990-05-30', '1990-05-31'}
-Dates in resampled not in raw: {'1990-04-30', '1990-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_19900601-19900630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1990-06-30'}
-Dates in resampled not in raw: {'1990-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19900701-19900731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1990-07-31', '1990-07-30'}
-Dates in resampled not in raw: {'1990-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19900801-19900831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1990-08-31'}
-Dates in resampled not in raw: {'1990-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19900901-19900930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1990-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19901001-19901031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1990-10-31'}
-Dates in resampled not in raw: {'1990-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19901101-19901130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1990-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19901201-19901231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1990-12-31'}
-Dates in resampled not in raw: {'1990-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19910101-19910131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1991-01-31'}
-Dates in resampled not in raw: {'1991-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19910201-19910228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1991-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19910301-19910331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1991-03-30', '1991-03-31'}
-Dates in resampled not in raw: {'1991-02-30', '1991-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19910401-19910430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1991-04-30', '1991-04-29'}
-Dates in resampled not in raw: {'1991-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19910501-19910531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1991-05-30', '1991-05-31'}
-Dates in resampled not in raw: {'1991-04-29', '1991-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19910601-19910630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1991-06-30'}
-Dates in resampled not in raw: {'1991-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19910701-19910731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1991-07-31', '1991-07-30'}
-Dates in resampled not in raw: {'1991-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19910801-19910831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1991-08-31'}
-Dates in resampled not in raw: {'1991-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19910901-19910930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1991-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19911001-19911031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1991-10-31'}
-Dates in resampled not in raw: {'1991-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19911101-19911130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1991-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19911201-19911231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1991-12-31'}
-Dates in resampled not in raw: {'1991-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19920101-19920131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1992-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19920301-19920331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1992-03-31'}
-Dates in resampled not in raw: {'1992-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19920401-19920430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1992-04-30'}
-Dates in resampled not in raw: {'1992-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19920501-19920531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1992-05-31'}
-Dates in resampled not in raw: {'1992-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19920601-19920630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1992-06-30'}
-Dates in resampled not in raw: {'1992-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19920701-19920731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1992-07-31'}
-Dates in resampled not in raw: {'1992-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19920801-19920831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1992-08-31'}
-Dates in resampled not in raw: {'1992-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19921001-19921031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1992-10-31'}
-Dates in resampled not in raw: {'1992-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19921201-19921231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1992-12-31'}
-Dates in resampled not in raw: {'1992-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19930101-19930131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1993-01-31'}
-Dates in resampled not in raw: {'1993-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19930201-19930228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1993-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19930301-19930331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1993-03-30', '1993-03-31'}
-Dates in resampled not in raw: {'1993-02-30', '1993-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19930401-19930430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1993-04-29', '1993-04-30'}
-Dates in resampled not in raw: {'1993-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19930501-19930531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1993-05-30', '1993-05-31'}
-Dates in resampled not in raw: {'1993-04-29', '1993-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19930601-19930630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1993-06-30'}
-Dates in resampled not in raw: {'1993-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19930701-19930731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1993-07-30', '1993-07-31'}
-Dates in resampled not in raw: {'1993-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19930801-19930831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1993-08-31'}
-Dates in resampled not in raw: {'1993-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19930901-19930930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1993-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19931001-19931031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1993-10-31'}
-Dates in resampled not in raw: {'1993-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19931101-19931130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1993-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19931201-19931231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1993-12-31'}
-Dates in resampled not in raw: {'1993-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19940101-19940131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1994-01-31'}
-Dates in resampled not in raw: {'1994-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19940201-19940228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1994-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19940301-19940331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1994-03-31', '1994-03-30'}
-Dates in resampled not in raw: {'1994-02-30', '1994-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19940401-19940430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1994-04-29', '1994-04-30'}
-Dates in resampled not in raw: {'1994-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19940501-19940531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1994-05-30', '1994-05-31'}
-Dates in resampled not in raw: {'1994-04-29', '1994-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19940601-19940630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1994-06-30'}
-Dates in resampled not in raw: {'1994-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19940701-19940731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1994-07-31', '1994-07-30'}
-Dates in resampled not in raw: {'1994-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19940801-19940831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1994-08-31'}
-Dates in resampled not in raw: {'1994-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19940901-19940930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1994-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19941001-19941031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1994-10-31'}
-Dates in resampled not in raw: {'1994-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19941101-19941130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1994-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19941201-19941231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1994-12-31'}
-Dates in resampled not in raw: {'1994-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19950101-19950131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1995-01-31'}
-Dates in resampled not in raw: {'1995-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19950201-19950228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1995-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19950301-19950331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1995-03-31', '1995-03-30'}
-Dates in resampled not in raw: {'1995-02-30', '1995-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19950401-19950430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1995-04-29', '1995-04-30'}
-Dates in resampled not in raw: {'1995-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19950501-19950531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1995-05-31', '1995-05-30'}
-Dates in resampled not in raw: {'1995-04-29', '1995-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19950601-19950630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1995-06-30'}
-Dates in resampled not in raw: {'1995-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19950701-19950731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1995-07-31', '1995-07-30'}
-Dates in resampled not in raw: {'1995-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19950801-19950831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1995-08-31'}
-Dates in resampled not in raw: {'1995-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19950901-19950930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1995-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19951001-19951031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1995-10-31'}
-Dates in resampled not in raw: {'1995-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19951101-19951130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1995-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19951201-19951231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1995-12-31'}
-Dates in resampled not in raw: {'1995-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19960101-19960131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1996-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19960301-19960331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1996-03-31'}
-Dates in resampled not in raw: {'1996-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19960401-19960430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1996-04-30'}
-Dates in resampled not in raw: {'1996-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19960501-19960531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1996-05-31'}
-Dates in resampled not in raw: {'1996-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19960601-19960630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1996-06-30'}
-Dates in resampled not in raw: {'1996-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19960701-19960731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1996-07-31'}
-Dates in resampled not in raw: {'1996-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19960801-19960831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1996-08-31'}
-Dates in resampled not in raw: {'1996-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19961001-19961031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1996-10-31'}
-Dates in resampled not in raw: {'1996-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19961201-19961231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1996-12-31'}
-Dates in resampled not in raw: {'1996-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19970101-19970131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1997-01-31'}
-Dates in resampled not in raw: {'1997-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19970201-19970228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1997-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19970301-19970331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1997-03-31', '1997-03-30'}
-Dates in resampled not in raw: {'1997-02-30', '1997-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19970401-19970430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1997-04-29', '1997-04-30'}
-Dates in resampled not in raw: {'1997-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19970501-19970531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1997-05-30', '1997-05-31'}
-Dates in resampled not in raw: {'1997-04-29', '1997-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19970601-19970630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1997-06-30'}
-Dates in resampled not in raw: {'1997-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19970701-19970731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1997-07-31', '1997-07-30'}
-Dates in resampled not in raw: {'1997-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19970801-19970831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1997-08-31'}
-Dates in resampled not in raw: {'1997-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19970901-19970930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1997-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19971001-19971031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1997-10-31'}
-Dates in resampled not in raw: {'1997-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19971101-19971130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1997-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19971201-19971231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1997-12-31'}
-Dates in resampled not in raw: {'1997-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19980101-19980131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1998-01-31'}
-Dates in resampled not in raw: {'1998-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19980201-19980228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1998-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19980301-19980331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1998-03-31', '1998-03-30'}
-Dates in resampled not in raw: {'1998-02-30', '1998-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_19980401-19980430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1998-04-29', '1998-04-30'}
-Dates in resampled not in raw: {'1998-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19980501-19980531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1998-05-31', '1998-05-30'}
-Dates in resampled not in raw: {'1998-04-29', '1998-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19980601-19980630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1998-06-30'}
-Dates in resampled not in raw: {'1998-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19980701-19980731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1998-07-31', '1998-07-30'}
-Dates in resampled not in raw: {'1998-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19980801-19980831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1998-08-31'}
-Dates in resampled not in raw: {'1998-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19980901-19980930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1998-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19981001-19981031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1998-10-31'}
-Dates in resampled not in raw: {'1998-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19981101-19981130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1998-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19981201-19981231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1998-12-31'}
-Dates in resampled not in raw: {'1998-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_19990101-19990131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1999-01-31'}
-Dates in resampled not in raw: {'1999-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_19990201-19990228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'1999-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19990301-19990331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1999-03-31', '1999-03-30'}
-Dates in resampled not in raw: {'1999-02-29', '1999-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_19990401-19990430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1999-04-29', '1999-04-30'}
-Dates in resampled not in raw: {'1999-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_19990501-19990531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1999-05-31', '1999-05-30'}
-Dates in resampled not in raw: {'1999-04-29', '1999-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_19990601-19990630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'1999-06-30'}
-Dates in resampled not in raw: {'1999-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_19990701-19990731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'1999-07-30', '1999-07-31'}
-Dates in resampled not in raw: {'1999-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_19990801-19990831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1999-08-31'}
-Dates in resampled not in raw: {'1999-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_19990901-19990930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1999-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19991001-19991031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1999-10-31'}
-Dates in resampled not in raw: {'1999-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_19991101-19991130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'1999-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_19991201-19991231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'1999-12-31'}
-Dates in resampled not in raw: {'1999-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20000101-20000131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2000-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20000301-20000331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2000-03-31'}
-Dates in resampled not in raw: {'2000-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20000401-20000430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2000-04-30'}
-Dates in resampled not in raw: {'2000-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20000501-20000531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2000-05-31'}
-Dates in resampled not in raw: {'2000-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20000601-20000630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2000-06-30'}
-Dates in resampled not in raw: {'2000-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20000701-20000731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2000-07-31'}
-Dates in resampled not in raw: {'2000-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20000801-20000831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2000-08-31'}
-Dates in resampled not in raw: {'2000-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20001001-20001031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2000-10-31'}
-Dates in resampled not in raw: {'2000-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20001201-20001231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2000-12-31'}
-Dates in resampled not in raw: {'2000-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20010101-20010131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2001-01-31'}
-Dates in resampled not in raw: {'2001-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20010201-20010228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2001-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20010301-20010331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2001-03-31', '2001-03-30'}
-Dates in resampled not in raw: {'2001-02-30', '2001-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20010401-20010430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2001-04-29', '2001-04-30'}
-Dates in resampled not in raw: {'2001-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20010501-20010531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2001-05-30', '2001-05-31'}
-Dates in resampled not in raw: {'2001-04-29', '2001-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20010601-20010630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2001-06-30'}
-Dates in resampled not in raw: {'2001-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20010701-20010731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2001-07-30', '2001-07-31'}
-Dates in resampled not in raw: {'2001-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20010801-20010831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2001-08-31'}
-Dates in resampled not in raw: {'2001-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20010901-20010930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2001-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20011001-20011031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2001-10-31'}
-Dates in resampled not in raw: {'2001-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20011101-20011130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2001-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20011201-20011231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2001-12-31'}
-Dates in resampled not in raw: {'2001-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20020101-20020131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2002-01-31'}
-Dates in resampled not in raw: {'2002-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20020201-20020228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2002-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20020301-20020331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2002-03-30', '2002-03-31'}
-Dates in resampled not in raw: {'2002-02-29', '2002-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20020401-20020430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2002-04-30', '2002-04-29'}
-Dates in resampled not in raw: {'2002-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20020501-20020531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2002-05-31', '2002-05-30'}
-Dates in resampled not in raw: {'2002-04-30', '2002-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20020601-20020630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2002-06-30'}
-Dates in resampled not in raw: {'2002-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20020701-20020731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2002-07-30', '2002-07-31'}
-Dates in resampled not in raw: {'2002-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20020801-20020831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2002-08-31'}
-Dates in resampled not in raw: {'2002-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20020901-20020930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2002-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20021001-20021031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2002-10-31'}
-Dates in resampled not in raw: {'2002-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20021101-20021130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2002-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20021201-20021231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2002-12-31'}
-Dates in resampled not in raw: {'2002-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20030101-20030131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2003-01-31'}
-Dates in resampled not in raw: {'2003-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20030201-20030228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2003-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20030301-20030331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2003-03-30', '2003-03-31'}
-Dates in resampled not in raw: {'2003-02-29', '2003-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20030401-20030430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2003-04-30', '2003-04-29'}
-Dates in resampled not in raw: {'2003-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20030501-20030531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2003-05-31', '2003-05-30'}
-Dates in resampled not in raw: {'2003-04-30', '2003-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20030601-20030630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2003-06-30'}
-Dates in resampled not in raw: {'2003-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20030701-20030731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2003-07-30', '2003-07-31'}
-Dates in resampled not in raw: {'2003-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20030801-20030831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2003-08-31'}
-Dates in resampled not in raw: {'2003-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20030901-20030930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2003-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20031001-20031031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2003-10-31'}
-Dates in resampled not in raw: {'2003-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20031101-20031130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2003-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20031201-20031231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2003-12-31'}
-Dates in resampled not in raw: {'2003-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20040101-20040131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2004-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20040301-20040331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2004-03-31'}
-Dates in resampled not in raw: {'2004-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20040401-20040430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2004-04-30'}
-Dates in resampled not in raw: {'2004-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20040501-20040531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2004-05-31'}
-Dates in resampled not in raw: {'2004-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20040601-20040630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2004-06-30'}
-Dates in resampled not in raw: {'2004-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20040701-20040731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2004-07-31'}
-Dates in resampled not in raw: {'2004-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20040801-20040831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2004-08-31'}
-Dates in resampled not in raw: {'2004-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20041001-20041031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2004-10-31'}
-Dates in resampled not in raw: {'2004-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20041201-20041231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2004-12-31'}
-Dates in resampled not in raw: {'2004-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20050101-20050131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2005-01-31'}
-Dates in resampled not in raw: {'2005-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20050201-20050228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2005-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20050301-20050331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2005-03-31', '2005-03-30'}
-Dates in resampled not in raw: {'2005-02-29', '2005-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20050401-20050430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2005-04-30', '2005-04-29'}
-Dates in resampled not in raw: {'2005-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20050501-20050531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2005-05-31', '2005-05-30'}
-Dates in resampled not in raw: {'2005-04-30', '2005-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20050601-20050630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2005-06-30'}
-Dates in resampled not in raw: {'2005-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20050701-20050731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2005-07-31', '2005-07-30'}
-Dates in resampled not in raw: {'2005-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20050801-20050831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2005-08-31'}
-Dates in resampled not in raw: {'2005-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20050901-20050930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2005-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20051001-20051031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2005-10-31'}
-Dates in resampled not in raw: {'2005-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20051101-20051130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2005-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20051201-20051231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2005-12-31'}
-Dates in resampled not in raw: {'2005-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20060101-20060131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2006-01-31'}
-Dates in resampled not in raw: {'2006-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20060201-20060228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2006-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20060301-20060331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2006-03-30', '2006-03-31'}
-Dates in resampled not in raw: {'2006-02-29', '2006-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20060401-20060430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2006-04-29', '2006-04-30'}
-Dates in resampled not in raw: {'2006-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20060501-20060531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2006-05-30', '2006-05-31'}
-Dates in resampled not in raw: {'2006-04-29', '2006-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20060601-20060630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2006-06-30'}
-Dates in resampled not in raw: {'2006-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20060701-20060731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2006-07-30', '2006-07-31'}
-Dates in resampled not in raw: {'2006-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20060801-20060831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2006-08-31'}
-Dates in resampled not in raw: {'2006-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20060901-20060930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2006-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20061001-20061031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2006-10-31'}
-Dates in resampled not in raw: {'2006-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20061101-20061130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2006-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20061201-20061231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2006-12-31'}
-Dates in resampled not in raw: {'2006-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20070101-20070131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2007-01-31'}
-Dates in resampled not in raw: {'2007-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20070201-20070228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2007-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20070301-20070331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2007-03-30', '2007-03-31'}
-Dates in resampled not in raw: {'2007-02-29', '2007-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20070401-20070430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2007-04-30', '2007-04-29'}
-Dates in resampled not in raw: {'2007-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20070501-20070531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2007-05-31', '2007-05-30'}
-Dates in resampled not in raw: {'2007-04-30', '2007-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20070601-20070630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2007-06-30'}
-Dates in resampled not in raw: {'2007-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20070701-20070731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2007-07-30', '2007-07-31'}
-Dates in resampled not in raw: {'2007-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20070801-20070831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2007-08-31'}
-Dates in resampled not in raw: {'2007-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20070901-20070930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2007-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20071001-20071031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2007-10-31'}
-Dates in resampled not in raw: {'2007-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20071101-20071130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2007-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20071201-20071231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2007-12-31'}
-Dates in resampled not in raw: {'2007-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20080101-20080131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2008-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20080301-20080331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2008-03-31'}
-Dates in resampled not in raw: {'2008-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20080401-20080430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2008-04-30'}
-Dates in resampled not in raw: {'2008-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20080501-20080531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2008-05-31'}
-Dates in resampled not in raw: {'2008-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20080601-20080630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2008-06-30'}
-Dates in resampled not in raw: {'2008-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20080701-20080731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2008-07-31'}
-Dates in resampled not in raw: {'2008-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20080801-20080831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2008-08-31'}
-Dates in resampled not in raw: {'2008-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20081001-20081031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2008-10-31'}
-Dates in resampled not in raw: {'2008-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20081201-20081231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2008-12-31'}
-Dates in resampled not in raw: {'2008-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20090101-20090131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2009-01-31'}
-Dates in resampled not in raw: {'2009-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20090201-20090228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2009-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20090301-20090331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2009-03-30', '2009-03-31'}
-Dates in resampled not in raw: {'2009-02-30', '2009-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20090401-20090430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2009-04-29', '2009-04-30'}
-Dates in resampled not in raw: {'2009-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20090501-20090531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2009-05-30', '2009-05-31'}
-Dates in resampled not in raw: {'2009-04-29', '2009-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20090601-20090630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2009-06-30'}
-Dates in resampled not in raw: {'2009-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20090701-20090731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2009-07-30', '2009-07-31'}
-Dates in resampled not in raw: {'2009-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20090801-20090831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2009-08-31'}
-Dates in resampled not in raw: {'2009-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20090901-20090930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2009-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20091001-20091031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2009-10-31'}
-Dates in resampled not in raw: {'2009-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20091101-20091130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2009-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20091201-20091231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2009-12-31'}
-Dates in resampled not in raw: {'2009-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20100101-20100131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2010-01-31'}
-Dates in resampled not in raw: {'2010-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20100201-20100228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2010-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20100301-20100331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2010-03-30', '2010-03-31'}
-Dates in resampled not in raw: {'2010-02-29', '2010-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20100401-20100430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2010-04-29', '2010-04-30'}
-Dates in resampled not in raw: {'2010-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20100501-20100531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2010-05-30', '2010-05-31'}
-Dates in resampled not in raw: {'2010-04-29', '2010-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20100601-20100630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2010-06-30'}
-Dates in resampled not in raw: {'2010-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20100701-20100731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2010-07-30', '2010-07-31'}
-Dates in resampled not in raw: {'2010-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20100801-20100831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2010-08-31'}
-Dates in resampled not in raw: {'2010-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20100901-20100930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2010-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20101001-20101031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2010-10-31'}
-Dates in resampled not in raw: {'2010-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20101101-20101130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2010-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20101201-20101231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2010-12-31'}
-Dates in resampled not in raw: {'2010-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20110101-20110131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2011-01-31'}
-Dates in resampled not in raw: {'2011-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20110201-20110228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2011-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20110301-20110331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2011-03-31', '2011-03-30'}
-Dates in resampled not in raw: {'2011-02-29', '2011-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20110401-20110430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2011-04-29', '2011-04-30'}
-Dates in resampled not in raw: {'2011-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20110501-20110531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2011-05-30', '2011-05-31'}
-Dates in resampled not in raw: {'2011-04-29', '2011-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20110601-20110630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2011-06-30'}
-Dates in resampled not in raw: {'2011-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20110701-20110731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2011-07-30', '2011-07-31'}
-Dates in resampled not in raw: {'2011-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20110801-20110831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2011-08-31'}
-Dates in resampled not in raw: {'2011-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20110901-20110930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2011-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20111001-20111031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2011-10-31'}
-Dates in resampled not in raw: {'2011-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20111101-20111130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2011-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20111201-20111231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2011-12-31'}
-Dates in resampled not in raw: {'2011-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20120101-20120131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2012-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20120301-20120331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2012-03-31'}
-Dates in resampled not in raw: {'2012-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20120401-20120430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2012-04-30'}
-Dates in resampled not in raw: {'2012-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20120501-20120531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2012-05-31'}
-Dates in resampled not in raw: {'2012-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20120601-20120630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2012-06-30'}
-Dates in resampled not in raw: {'2012-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20120701-20120731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2012-07-31'}
-Dates in resampled not in raw: {'2012-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20120801-20120831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2012-08-31'}
-Dates in resampled not in raw: {'2012-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20121001-20121031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2012-10-31'}
-Dates in resampled not in raw: {'2012-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20121201-20121231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2012-12-31'}
-Dates in resampled not in raw: {'2012-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20130101-20130131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2013-01-31'}
-Dates in resampled not in raw: {'2013-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20130201-20130228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2013-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20130301-20130331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2013-03-30', '2013-03-31'}
-Dates in resampled not in raw: {'2013-02-29', '2013-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20130401-20130430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2013-04-29', '2013-04-30'}
-Dates in resampled not in raw: {'2013-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20130501-20130531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2013-05-30', '2013-05-31'}
-Dates in resampled not in raw: {'2013-04-29', '2013-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20130601-20130630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2013-06-30'}
-Dates in resampled not in raw: {'2013-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20130701-20130731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2013-07-30', '2013-07-31'}
-Dates in resampled not in raw: {'2013-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20130801-20130831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2013-08-31'}
-Dates in resampled not in raw: {'2013-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20130901-20130930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2013-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20131001-20131031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2013-10-31'}
-Dates in resampled not in raw: {'2013-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20131101-20131130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2013-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20131201-20131231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2013-12-31'}
-Dates in resampled not in raw: {'2013-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20140101-20140131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2014-01-31'}
-Dates in resampled not in raw: {'2014-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20140201-20140228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2014-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20140301-20140331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2014-03-31', '2014-03-30'}
-Dates in resampled not in raw: {'2014-02-30', '2014-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20140401-20140430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2014-04-29', '2014-04-30'}
-Dates in resampled not in raw: {'2014-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20140501-20140531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2014-05-31', '2014-05-30'}
-Dates in resampled not in raw: {'2014-04-29', '2014-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20140601-20140630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2014-06-30'}
-Dates in resampled not in raw: {'2014-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20140701-20140731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2014-07-30', '2014-07-31'}
-Dates in resampled not in raw: {'2014-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20140801-20140831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2014-08-31'}
-Dates in resampled not in raw: {'2014-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20140901-20140930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2014-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20141001-20141031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2014-10-31'}
-Dates in resampled not in raw: {'2014-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20141101-20141130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2014-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20141201-20141231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2014-12-31'}
-Dates in resampled not in raw: {'2014-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20150101-20150131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2015-01-31'}
-Dates in resampled not in raw: {'2015-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20150201-20150228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2015-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20150301-20150331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2015-03-30', '2015-03-31'}
-Dates in resampled not in raw: {'2015-02-30', '2015-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20150401-20150430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2015-04-30', '2015-04-29'}
-Dates in resampled not in raw: {'2015-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20150501-20150531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2015-05-30', '2015-05-31'}
-Dates in resampled not in raw: {'2015-04-30', '2015-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20150601-20150630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2015-06-30'}
-Dates in resampled not in raw: {'2015-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20150701-20150731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2015-07-30', '2015-07-31'}
-Dates in resampled not in raw: {'2015-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20150801-20150831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2015-08-31'}
-Dates in resampled not in raw: {'2015-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20150901-20150930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2015-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20151001-20151031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2015-10-31'}
-Dates in resampled not in raw: {'2015-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20151101-20151130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2015-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20151201-20151231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2015-12-31'}
-Dates in resampled not in raw: {'2015-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20160101-20160131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2016-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20160301-20160331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2016-03-31'}
-Dates in resampled not in raw: {'2016-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20160401-20160430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2016-04-30'}
-Dates in resampled not in raw: {'2016-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20160501-20160531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2016-05-31'}
-Dates in resampled not in raw: {'2016-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20160601-20160630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2016-06-30'}
-Dates in resampled not in raw: {'2016-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20160701-20160731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2016-07-31'}
-Dates in resampled not in raw: {'2016-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20160801-20160831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2016-08-31'}
-Dates in resampled not in raw: {'2016-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20161001-20161031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2016-10-31'}
-Dates in resampled not in raw: {'2016-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20161201-20161231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2016-12-31'}
-Dates in resampled not in raw: {'2016-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20170101-20170131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2017-01-31'}
-Dates in resampled not in raw: {'2017-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20170201-20170228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2017-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20170301-20170331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2017-03-31', '2017-03-30'}
-Dates in resampled not in raw: {'2017-02-29', '2017-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20170401-20170430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2017-04-30', '2017-04-29'}
-Dates in resampled not in raw: {'2017-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20170501-20170531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2017-05-30', '2017-05-31'}
-Dates in resampled not in raw: {'2017-04-30', '2017-04-29'}
-File: tasmax_hadukgrid_uk_1km_day_20170601-20170630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2017-06-30'}
-Dates in resampled not in raw: {'2017-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20170701-20170731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2017-07-30', '2017-07-31'}
-Dates in resampled not in raw: {'2017-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20170801-20170831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2017-08-31'}
-Dates in resampled not in raw: {'2017-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20170901-20170930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2017-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20171001-20171031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2017-10-31'}
-Dates in resampled not in raw: {'2017-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20171101-20171130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2017-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20171201-20171231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2017-12-31'}
-Dates in resampled not in raw: {'2017-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20180101-20180131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2018-01-31'}
-Dates in resampled not in raw: {'2018-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20180201-20180228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2018-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20180301-20180331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2018-03-30', '2018-03-31'}
-Dates in resampled not in raw: {'2018-02-29', '2018-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20180401-20180430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2018-04-29', '2018-04-30'}
-Dates in resampled not in raw: {'2018-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20180501-20180531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2018-05-30', '2018-05-31'}
-Dates in resampled not in raw: {'2018-04-29', '2018-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20180601-20180630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2018-06-30'}
-Dates in resampled not in raw: {'2018-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20180701-20180731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2018-07-31', '2018-07-30'}
-Dates in resampled not in raw: {'2018-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20180801-20180831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2018-08-31'}
-Dates in resampled not in raw: {'2018-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20180901-20180930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2018-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20181001-20181031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2018-10-31'}
-Dates in resampled not in raw: {'2018-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20181101-20181130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2018-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20181201-20181231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2018-12-31'}
-Dates in resampled not in raw: {'2018-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20190101-20190131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2019-01-31'}
-Dates in resampled not in raw: {'2019-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20190201-20190228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2019-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20190301-20190331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2019-03-30', '2019-03-31'}
-Dates in resampled not in raw: {'2019-02-30', '2019-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20190401-20190430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2019-04-29', '2019-04-30'}
-Dates in resampled not in raw: {'2019-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20190501-20190531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2019-05-30', '2019-05-31'}
-Dates in resampled not in raw: {'2019-04-29', '2019-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20190601-20190630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2019-06-30'}
-Dates in resampled not in raw: {'2019-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20190701-20190731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2019-07-31', '2019-07-30'}
-Dates in resampled not in raw: {'2019-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20190801-20190831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2019-08-31'}
-Dates in resampled not in raw: {'2019-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20190901-20190930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2019-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20191001-20191031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2019-10-31'}
-Dates in resampled not in raw: {'2019-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20191101-20191130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2019-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20191201-20191231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2019-12-31'}
-Dates in resampled not in raw: {'2019-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20200101-20200131.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2020-01-31'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20200301-20200331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2020-03-31'}
-Dates in resampled not in raw: {'2020-02-30'}
-File: tasmax_hadukgrid_uk_1km_day_20200401-20200430.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2020-04-30'}
-Dates in resampled not in raw: {'2020-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20200501-20200531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2020-05-31'}
-Dates in resampled not in raw: {'2020-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20200601-20200630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2020-06-30'}
-Dates in resampled not in raw: {'2020-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20200701-20200731.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2020-07-31'}
-Dates in resampled not in raw: {'2020-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20200801-20200831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2020-08-31'}
-Dates in resampled not in raw: {'2020-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20201001-20201031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2020-10-31'}
-Dates in resampled not in raw: {'2020-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20201201-20201231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2020-12-31'}
-Dates in resampled not in raw: {'2020-11-30'}
-File: tasmax_hadukgrid_uk_1km_day_20210101-20210131.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2021-01-31'}
-Dates in resampled not in raw: {'2021-02-01'}
-File: tasmax_hadukgrid_uk_1km_day_20210201-20210228.nc produced errors:
-raw # days: 28 - resampled # days: 27
-Dates in raw not in resampled: {'2021-02-01'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20210301-20210331.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2021-03-31', '2021-03-30'}
-Dates in resampled not in raw: {'2021-02-30', '2021-02-29'}
-File: tasmax_hadukgrid_uk_1km_day_20210401-20210430.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2021-04-29', '2021-04-30'}
-Dates in resampled not in raw: {'2021-03-30'}
-File: tasmax_hadukgrid_uk_1km_day_20210501-20210531.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2021-05-31', '2021-05-30'}
-Dates in resampled not in raw: {'2021-04-29', '2021-04-30'}
-File: tasmax_hadukgrid_uk_1km_day_20210601-20210630.nc produced errors:
-raw # days: 30 - resampled # days: 30
-Dates in raw not in resampled: {'2021-06-30'}
-Dates in resampled not in raw: {'2021-05-30'}
-File: tasmax_hadukgrid_uk_1km_day_20210701-20210731.nc produced errors:
-raw # days: 31 - resampled # days: 30
-Dates in raw not in resampled: {'2021-07-30', '2021-07-31'}
-Dates in resampled not in raw: {'2021-06-30'}
-File: tasmax_hadukgrid_uk_1km_day_20210801-20210831.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2021-08-31'}
-Dates in resampled not in raw: {'2021-07-30'}
-File: tasmax_hadukgrid_uk_1km_day_20210901-20210930.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2021-09-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20211001-20211031.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2021-10-31'}
-Dates in resampled not in raw: {'2021-09-30'}
-File: tasmax_hadukgrid_uk_1km_day_20211101-20211130.nc produced errors:
-raw # days: 30 - resampled # days: 29
-Dates in raw not in resampled: {'2021-11-30'}
-Dates in resampled not in raw: set()
-File: tasmax_hadukgrid_uk_1km_day_20211201-20211231.nc produced errors:
-raw # days: 31 - resampled # days: 31
-Dates in raw not in resampled: {'2021-12-31'}
-Dates in resampled not in raw: {'2021-11-30'}
-______________________________
-missing dates: 0
-date '1980-03-30' appears 2 times.
-date '1980-05-30' appears 2 times.
-date '1980-07-30' appears 2 times.
-date '1980-09-30' appears 2 times.
-date '1980-11-30' appears 2 times.
-date '1984-03-30' appears 2 times.
-date '1984-05-30' appears 2 times.
-date '1984-07-30' appears 2 times.
-date '1984-09-30' appears 2 times.
-date '1984-11-30' appears 2 times.
-date '1988-03-30' appears 2 times.
-date '1988-05-30' appears 2 times.
-date '1988-07-30' appears 2 times.
-date '1988-09-30' appears 2 times.
-date '1988-11-30' appears 2 times.
-date '1992-03-30' appears 2 times.
-date '1992-05-30' appears 2 times.
-date '1992-07-30' appears 2 times.
-date '1992-09-30' appears 2 times.
-date '1992-11-30' appears 2 times.
-date '1996-03-30' appears 2 times.
-date '1996-05-30' appears 2 times.
-date '1996-07-30' appears 2 times.
-date '1996-09-30' appears 2 times.
-date '1996-11-30' appears 2 times.
-date '2000-03-30' appears 2 times.
-date '2000-05-30' appears 2 times.
-date '2000-07-30' appears 2 times.
-date '2000-09-30' appears 2 times.
-date '2000-11-30' appears 2 times.
-date '2004-03-30' appears 2 times.
-date '2004-05-30' appears 2 times.
-date '2004-07-30' appears 2 times.
-date '2004-09-30' appears 2 times.
-date '2004-11-30' appears 2 times.
-date '2008-03-30' appears 2 times.
-date '2008-05-30' appears 2 times.
-date '2008-07-30' appears 2 times.
-date '2008-09-30' appears 2 times.
-date '2008-11-30' appears 2 times.
-date '2012-03-30' appears 2 times.
-date '2012-05-30' appears 2 times.
-date '2012-07-30' appears 2 times.
-date '2012-09-30' appears 2 times.
-date '2012-11-30' appears 2 times.
-date '2016-03-30' appears 2 times.
-date '2016-05-30' appears 2 times.
-date '2016-07-30' appears 2 times.
-date '2016-09-30' appears 2 times.
-date '2016-11-30' appears 2 times.
-date '2020-03-30' appears 2 times.
-date '2020-05-30' appears 2 times.
-date '2020-07-30' appears 2 times.
-date '2020-09-30' appears 2 times.
-date '2020-11-30' appears 2 times.

From 0813b87cad082ea50592310a449be93f927ff8ac Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 23 Jul 2024 14:41:25 +0100
Subject: [PATCH 58/92] fix: `hads` `cpm` alignment and `conda` `jupyter`
 deploy

---
 compose.yml                       |  4 +--
 compose/jupyter/Dockerfile        |  9 +++--
 python/clim_recal/utils/data.py   |  2 +-
 python/clim_recal/utils/xarray.py | 21 ++++++++---
 python/tests/test_resample.py     | 60 +++++++++++++++++++------------
 5 files changed, 64 insertions(+), 32 deletions(-)

diff --git a/compose.yml b/compose.yml
index 8373093a..30bc6d93 100644
--- a/compose.yml
+++ b/compose.yml
@@ -12,8 +12,8 @@ services:
       - NB_GID=100
       - NB_GROUP=users
       - CHOWN_HOME=yes
-      - CHOWN_HOME_OPTS=-R
-      - JUPYTER_ENABLE_LAB=yes
+      # - CHOWN_HOME_OPTS=-R
+      # - JUPYTER_ENABLE_LAB=yes
     volumes:
       - .:/home/jovyan:rw
 
diff --git a/compose/jupyter/Dockerfile b/compose/jupyter/Dockerfile
index a3004da7..a878125b 100644
--- a/compose/jupyter/Dockerfile
+++ b/compose/jupyter/Dockerfile
@@ -27,6 +27,7 @@ RUN \
 # Needed for write permission
 USER root
 
+# build-essential is needed for pysqlite3 and gdal
 RUN sudo apt-get update && sudo apt-get install -y build-essential
 
 # First line changes a startup hook, which will activate the custom environment
@@ -35,15 +36,19 @@ RUN \
     echo conda activate "${env_name}" >> /etc/skel/.bashrc
 # Above line makes the custom environment default in Jupyter Terminals for all users which might be created later
 
+COPY . .
+
 RUN chown -R ${NB_USER} /home/${NB_USER}
 
 USER ${NB_UID}
 
-
+# pysqlite3 may no longer be included in the jupyter stack
+# adding to fix, worth checking if necessary in future
 RUN conda update -n ${env_name} -y --all && \
     conda install -n ${env_name} -y pysqlite3
 
-COPY . .
+# Automate installing `pdm` dependencies
+# RUN cd python && conda run -n ${env_name} pdm install
 
 # This makes the custom environment default in Jupyter Terminals for already existing NB_USER
 # Note this *doesn't* apply if simply using sh -c
diff --git a/python/clim_recal/utils/data.py b/python/clim_recal/utils/data.py
index de9a38f7..c67590de 100644
--- a/python/clim_recal/utils/data.py
+++ b/python/clim_recal/utils/data.py
@@ -147,7 +147,7 @@ def _method_dict(cls) -> dict[str, Resampling]:
         """Return the preferred aggregation method for each option."""
         return {
             cls.TASMAX: Resampling.max,
-            cls.RAINFALL: Resampling.bilinear,
+            cls.RAINFALL: Resampling.average,
             cls.TASMIN: Resampling.min,
         }
 
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 5f84db20..285efd4c 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -73,6 +73,7 @@
 GLASGOW_GEOM_ABSOLUTE_PATH: Final[Path] = (
     climate_data_mount_path() / GLASGOW_GEOM_LOCAL_PATH
 )
+HADS_MIN_NULL: float = -1000000
 
 # MONTH_DAY_DROP: DropDayType = {(1, 31), (4, 1), (6, 1), (8, 1), (10, 1), (12, 1)}
 # """A `set` of tuples of month and day numbers for `enforce_date_changes`."""
@@ -285,6 +286,7 @@ def xr_reproject_crs(
     match_xr_time_series_load_func: Callable | None = None,
     match_xr_time_series_load_kwargs: dict[str, Any] | None = None,
     resampling_method: Resampling = DEFAULT_RESAMPLING_METHOD,
+    nodata: float = np.nan,
     **kwargs,
 ) -> T_Dataset:
     """Reproject `source_xr` to `target_xr` coordinate structure.
@@ -371,7 +373,7 @@ def xr_reproject_crs(
             )
             if {"x", "y"} < match_xr_time_series.dims.keys():
                 logger.debug(
-                    "Renaming dims: '{x_dim_name}' -> 'x', '{y_dim_name}' -> 'y'"
+                    f"Renaming dims: '{x_dim_name}' -> 'x', '{y_dim_name}' -> 'y'"
                 )
                 without_attributes = without_attributes.rename(
                     {x_dim_name: "x", y_dim_name: "y"}
@@ -379,11 +381,11 @@ def xr_reproject_crs(
             else:
                 raise ValueError("Can't match dim names.")
         without_attributes_reprojected = without_attributes.rio.reproject_match(
-            match_xr_time_series, resampling=resampling_method.name, **kwargs
+            match_xr_time_series, resampling=resampling_method, nodata=nodata, **kwargs
         )
     else:
         without_attributes_reprojected: T_DataArray = without_attributes.rio.reproject(
-            final_crs, resampling=resampling_method.name, **kwargs
+            final_crs, resampling=resampling_method, nodata=nodata, **kwargs
         )
     return Dataset({variable_name: without_attributes_reprojected})
 
@@ -511,7 +513,6 @@ def hads_resample_and_reproject(
     y_dim_name: str = HADS_RAW_Y_COLUMN_NAME,
 ) -> T_Dataset:
     """Resample `HADs` `xarray` time series to 2.2km."""
-
     if isinstance(cpm_to_match, Dataset) and {"x", "y"} < cpm_to_match.dims.keys():
         cpm_to_match_func = None
     epsg_277000_2_2km: T_Dataset = xr_reproject_crs(
@@ -524,7 +525,17 @@ def hads_resample_and_reproject(
         resampling_method=VariableOptions.resampling_method(variable_name),
         # match_xr_time_series_load_kwargs=dict(variable_name=variable_name),
     )
-    return epsg_277000_2_2km
+
+    # Check if the minimum values should be NULL
+    min_value: float = epsg_277000_2_2km[variable_name].min()
+    if min_value < HADS_MIN_NULL:
+        logger.info(f"Setting '{variable_name}' values less than {min_value} as `nan`")
+        return epsg_277000_2_2km.where(epsg_277000_2_2km[variable_name] > min_value)
+    else:
+        logger.debug(
+            f"'{variable_name}' values less than {min_value} kept. 'HADS_MIN_NULL': {HADS_MIN_NULL}"
+        )
+        return epsg_277000_2_2km
 
 
 def plot_xarray(
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 3ee2c7b6..76ee4335 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -92,28 +92,43 @@
 )
 
 
-FINAL_HADS_JAN_10_430_X_230_250_Y: Final[NDArray] = np.array(
+# FINAL_HADS_JAN_10_430_X_230_250_Y: Final[NDArray] = np.array(
+#     (
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         3.61614943,
+#         3.22494448,
+#         2.87045363,
+#         2.62269053,
+#         2.79705005,
+#         2.73883926,
+#         2.48555346,
+#         2.46462528,
+#         2.61303118,
+#     )
+# )
+
+FINAL_HADS_JAN_10_430_X_200_210_Y: Final[NDArray] = np.array(
     (
         np.nan,
         np.nan,
         np.nan,
         np.nan,
-        np.nan,
-        np.nan,
-        np.nan,
-        np.nan,
-        np.nan,
-        np.nan,
-        np.nan,
-        3.61614943,
-        3.22494448,
-        2.87045363,
-        2.62269053,
-        2.79705005,
-        2.73883926,
-        2.48555346,
-        2.46462528,
-        2.61303118,
+        7.57977839,
+        7.47138044,
+        7.27587694,
+        7.27587694,
+        7.07294578,
+        7.04533059,
     )
 )
 
@@ -688,8 +703,8 @@ def test_interpolate_coords(
         )
         assert reprojected_xr_time_series.dims["time"] == 31
         assert_allclose(
-            reprojected_xr_time_series.tasmax[10][430][230:250],
-            FINAL_HADS_JAN_10_430_X_230_250_Y,
+            reprojected_xr_time_series.tasmax[10][430][200:210],
+            FINAL_HADS_JAN_10_430_X_200_210_Y,
         )
         if use_reference_grid:
             assert reprojected_xr_time_series.rio.crs == BRITISH_NATIONAL_GRID_EPSG
@@ -717,6 +732,7 @@ def test_interpolate_coords(
     assert reprojected_xr_time_series.dims[y_col_name] == 651
 
 
+@pytest.mark.slow
 @pytest.mark.localcache
 @pytest.mark.mount
 def test_hads_resample_and_reproject(
@@ -754,7 +770,7 @@ def test_hads_resample_and_reproject(
         time_stamp=True,
     )
     assert_allclose(
-        read_from_export.tasmax[10][430][230:250], FINAL_HADS_JAN_10_430_X_230_250_Y
+        read_from_export.tasmax[10][430][200:210], FINAL_HADS_JAN_10_430_X_200_210_Y
     )
     assert read_from_export.dims["time"] == 31
     assert (
@@ -768,8 +784,8 @@ def test_hads_resample_and_reproject(
     assert all(cpm_to_match.x == read_from_export.x)
     assert all(cpm_to_match.y == read_from_export.y)
     assert (
-        read_from_export.spatial_ref.attrs["GeoTransform"]
-        == cpm_to_match.spatial_ref.attrs["GeoTransform"]
+        read_from_export.spatial_ref.attrs["spatial_ref"]
+        == cpm_to_match.spatial_ref.attrs["spatial_ref"]
     )
 
 

From b6e9b951b06338fd04a91e57d60ab6a1f0f55574 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Wed, 24 Jul 2024 09:32:26 +0100
Subject: [PATCH 59/92] fix: set `--skip-cropping` `cli` to `False`

---
 python/clim_recal/cli.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/clim_recal/cli.py b/python/clim_recal/cli.py
index 856476c7..8769e1cf 100644
--- a/python/clim_recal/cli.py
+++ b/python/clim_recal/cli.py
@@ -50,7 +50,7 @@ def pipeline(
     skip_hads_projection: Annotated[
         bool, typer.Option("--skip-hads-projection")
     ] = False,
-    skip_cropping: Annotated[bool, typer.Option("--skip-cropping")] = True,
+    skip_cropping: Annotated[bool, typer.Option("--skip-cropping")] = False,
     execute: Annotated[bool, typer.Option("--execute")] = False,
     start_index: Annotated[int, typer.Option("--start-index", "-s", min=0)] = 0,
     total: Annotated[int, typer.Option("--total-from-index", "-t", min=0)] = 0,

From 5c608a06de6cc7b8c467319307d536e984040361 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Wed, 24 Jul 2024 09:40:20 +0100
Subject: [PATCH 60/92] fix: set `use_tqdm_progress_bar=False` for `CPM`

---
 python/clim_recal/utils/xarray.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 285efd4c..7eb5af73 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -249,12 +249,14 @@ def cpm_reproject_with_standard_calendar(
         cpm_xr_time_series,
         output_path=Path(temp_tif.name),
         format=GDALGeoTiffFormatStr,
+        use_tqdm_progress_bar=False,
         # Leaving this if further projection is needed
         # resampling_method=VariableOptions.resampling_method(variable=variable_name).name,
     )
     gdal_translate_wrapper(
         input_path=Path(temp_tif.name),
         output_path=Path(temp_translated_ncf.name),
+        use_tqdm_progress_bar=False,
         # Leaving this if further projection is needed
         # resampling_method=VariableOptions.resampling_method(variable=variable_name).name,
     )

From 5877500f88b65cc008b50cff7b4e79bc6578a8e0 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Wed, 24 Jul 2024 12:59:53 +0100
Subject: [PATCH 61/92] feat: add `crop_cpm` and `crop_hads` options to `cli`

---
 python/clim_recal/cli.py      | 4 ++++
 python/clim_recal/pipeline.py | 6 +++---
 2 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/python/clim_recal/cli.py b/python/clim_recal/cli.py
index 8769e1cf..05e18dfc 100644
--- a/python/clim_recal/cli.py
+++ b/python/clim_recal/cli.py
@@ -51,6 +51,8 @@ def pipeline(
         bool, typer.Option("--skip-hads-projection")
     ] = False,
     skip_cropping: Annotated[bool, typer.Option("--skip-cropping")] = False,
+    crop_cpm: Annotated[bool, typer.Option("--crop-cpm")] = True,
+    crop_hads: Annotated[bool, typer.Option("--crop-hads")] = True,
     execute: Annotated[bool, typer.Option("--execute")] = False,
     start_index: Annotated[int, typer.Option("--start-index", "-s", min=0)] = 0,
     total: Annotated[int, typer.Option("--total-from-index", "-t", min=0)] = 0,
@@ -66,6 +68,8 @@ def pipeline(
         regions=region,
         methods=method,
         output_path=output_path,
+        crop_cpm=crop_cpm,
+        crop_hads=crop_hads,
         cpus=cpus,
         execute=execute,
         skip_cpm_standard_calendar_projection=skip_cpm_projection,
diff --git a/python/clim_recal/pipeline.py b/python/clim_recal/pipeline.py
index 1d0872b0..6c611fe1 100644
--- a/python/clim_recal/pipeline.py
+++ b/python/clim_recal/pipeline.py
@@ -168,8 +168,8 @@ def main(
     skip_cpm_standard_calendar_projection: bool = False,
     skip_hads_spatial_2k_projection: bool = False,
     skip_cropping: bool = True,
-    crop_cpm: bool = False,
-    crop_hads: bool = False,
+    crop_cpm: bool = True,
+    crop_hads: bool = True,
     cpus: int | None = None,
     multiprocess: bool = False,
     start_index: int = 0,
@@ -290,7 +290,7 @@ def main(
                 )
             )
             print(hads_resamplers[:print_range_length])
-        if skip_cropping or (not crop_cpm and not crop_hads):
+        if skip_cropping or not crop_cpm or not crop_hads:
             print("Skipping cropping.")
         else:
             if skip_cpm_standard_calendar_projection and not crop_cpm:

From ef069d5ac5ec6b62f90ab2310089c28de90cac97 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Wed, 24 Jul 2024 17:28:00 +0100
Subject: [PATCH 62/92] fix: use `range_crop_projection` in `pipeline.py`

---
 python/clim_recal/pipeline.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/python/clim_recal/pipeline.py b/python/clim_recal/pipeline.py
index 6c611fe1..8dc973c1 100644
--- a/python/clim_recal/pipeline.py
+++ b/python/clim_recal/pipeline.py
@@ -298,8 +298,8 @@ def main(
             else:
                 print(f"Cropping CPMs to regions {config.regions}: ...")
                 cropped_cpm_resamplers: tuple[CPMResampler, ...] = (
-                    config.cpm_manager.execute_crop_resamples(
-                        multiprocess=multiprocess, cpus=cpus
+                    config.cpm_manager.range_crop_projection(
+                        # multiprocess=multiprocess, cpus=cpus
                     )
                 )
                 print(cropped_cpm_resamplers[:print_range_length])
@@ -310,8 +310,8 @@ def main(
                     f"Cropping HADS 2.2km projections to regions {config.regions}: ..."
                 )
                 cropped_hads_resamplers: tuple[CPMResampler, ...] = (
-                    config.hands_manager.execute_crop_resamples(
-                        multiprocess=multiprocess, cpus=cpus
+                    config.hads_manager.range_crop_projection(
+                        # multiprocess=multiprocess, cpus=cpus
                     )
                 )
                 print(cropped_hads_resamplers[:print_range_length])

From 885d8db593c18a66c2dd3e6eeb635189c44d93f4 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Mon, 2 Sep 2024 15:45:43 +0100
Subject: [PATCH 63/92] refactor: fix hads crs and crop configs

---
 compose.yml                       |   6 +-
 compose/jupyter/Dockerfile        |   7 +-
 environment.yml                   |   1 +
 python/clim_recal/cli.py          |  35 ++++-
 python/clim_recal/config.py       |  91 +++++++++---
 python/clim_recal/pipeline.py     |  51 ++++---
 python/clim_recal/resample.py     | 236 ++++++++++++++++++++++++++----
 python/clim_recal/utils/data.py   |   6 +-
 python/clim_recal/utils/xarray.py |  20 ++-
 python/conftest.py                |  23 ++-
 python/tests/test_pipeline.py     |  11 +-
 python/tests/test_resample.py     |   7 +
 12 files changed, 387 insertions(+), 107 deletions(-)

diff --git a/compose.yml b/compose.yml
index 30bc6d93..3df8628b 100644
--- a/compose.yml
+++ b/compose.yml
@@ -6,14 +6,14 @@ services:
       dockerfile: ./compose/jupyter/Dockerfile
     ports:
       - "8888:8888"
-    user: root
+    # user: root
     environment:
       - NB_UID=1000
       - NB_GID=100
       - NB_GROUP=users
       - CHOWN_HOME=yes
-      # - CHOWN_HOME_OPTS=-R
-      # - JUPYTER_ENABLE_LAB=yes
+      - CHOWN_HOME_OPTS=-R
+      - JUPYTER_ENABLE_LAB=yes
     volumes:
       - .:/home/jovyan:rw
 
diff --git a/compose/jupyter/Dockerfile b/compose/jupyter/Dockerfile
index a878125b..e788ce5c 100644
--- a/compose/jupyter/Dockerfile
+++ b/compose/jupyter/Dockerfile
@@ -44,11 +44,8 @@ USER ${NB_UID}
 
 # pysqlite3 may no longer be included in the jupyter stack
 # adding to fix, worth checking if necessary in future
-RUN conda update -n ${env_name} -y --all && \
-    conda install -n ${env_name} -y pysqlite3
-
-# Automate installing `pdm` dependencies
-# RUN cd python && conda run -n ${env_name} pdm install
+# RUN conda update -n ${env_name} -y --all && \
+#     conda install -n ${env_name} -y pysqlite3
 
 # This makes the custom environment default in Jupyter Terminals for already existing NB_USER
 # Note this *doesn't* apply if simply using sh -c
diff --git a/environment.yml b/environment.yml
index 67dbbaeb..c1ca6900 100644
--- a/environment.yml
+++ b/environment.yml
@@ -7,6 +7,7 @@ dependencies:
   # - r-quarto=1.4
   - python=3.12
   - gdal=3.8.5
+  - pdm
   - parallel
   - rsync
 platforms:
diff --git a/python/clim_recal/cli.py b/python/clim_recal/cli.py
index 05e18dfc..8dfc7891 100644
--- a/python/clim_recal/cli.py
+++ b/python/clim_recal/cli.py
@@ -14,6 +14,7 @@
     VariableOptions,
 )
 from .pipeline import main
+from .resample import RAW_CPM_PATH, RAW_HADS_PATH
 
 clim_recal = typer.Typer()
 
@@ -23,6 +24,24 @@
 
 @clim_recal.command()
 def pipeline(
+    hads_input_path: Annotated[
+        Path,
+        typer.Option(
+            "--hads-input-path",
+            "-d",
+            file_okay=True,
+            dir_okay=True,
+        ),
+    ] = Path(RAW_HADS_PATH),
+    cpm_input_path: Annotated[
+        Path,
+        typer.Option(
+            "--cpm-input-path",
+            "-o",
+            file_okay=True,
+            dir_okay=True,
+        ),
+    ] = Path(RAW_CPM_PATH),
     output_path: Annotated[
         Path,
         typer.Option(
@@ -32,7 +51,7 @@ def pipeline(
     variable: Annotated[list[VariableOptions], typer.Option("--variable", "-v")] = [
         VariableOptions.default()
     ],
-    region: Annotated[list[RegionOptions], typer.Option("--region", "-c")] = [
+    region: Annotated[list[RegionOptions], typer.Option("--region", "-a")] = [
         RegionOptions.default()
     ],
     run: Annotated[list[RunOptions], typer.Option("--run", "-r")] = [
@@ -51,25 +70,25 @@ def pipeline(
         bool, typer.Option("--skip-hads-projection")
     ] = False,
     skip_cropping: Annotated[bool, typer.Option("--skip-cropping")] = False,
-    crop_cpm: Annotated[bool, typer.Option("--crop-cpm")] = True,
-    crop_hads: Annotated[bool, typer.Option("--crop-hads")] = True,
+    cpm_regions: Annotated[bool, typer.Option("--crop-cpm")] = True,
+    hads_regions: Annotated[bool, typer.Option("--crop-hads")] = True,
     execute: Annotated[bool, typer.Option("--execute")] = False,
     start_index: Annotated[int, typer.Option("--start-index", "-s", min=0)] = 0,
     total: Annotated[int, typer.Option("--total-from-index", "-t", min=0)] = 0,
-    cpus: Annotated[
-        int, typer.Option("--cpus", "-p", min=1, max=MAX_CPUS)
-    ] = DEFAULT_CPUS,
+    cpus: Annotated[int, typer.Option("--cpus", min=1, max=MAX_CPUS)] = DEFAULT_CPUS,
     multiprocess: Annotated[bool, typer.Option("--use-multiprocessing")] = False,
 ) -> ClimRecalRunResultsType:
     """Run all or portions of UK climate projection debiasing methods."""
     results: ClimRecalRunResultsType = main(
+        hads_input_path=hads_input_path,
+        cpm_input_path=cpm_input_path,
         variables=variable,
         runs=run,
         regions=region,
         methods=method,
         output_path=output_path,
-        crop_cpm=crop_cpm,
-        crop_hads=crop_hads,
+        cpm_regions=cpm_regions,
+        hads_regions=hads_regions,
         cpus=cpus,
         execute=execute,
         skip_cpm_standard_calendar_projection=skip_cpm_projection,
diff --git a/python/clim_recal/config.py b/python/clim_recal/config.py
index c0551edc..f6d625c7 100644
--- a/python/clim_recal/config.py
+++ b/python/clim_recal/config.py
@@ -7,15 +7,12 @@
 
 from tqdm import TqdmExperimentalWarning, tqdm
 
-from .debiasing.debias_wrapper import (
-    BaseRunConfig,
-    RunConfig,
-    RunConfigType,
-    climate_data_mount_path,
-)
+from .debiasing.debias_wrapper import BaseRunConfig, RunConfig, RunConfigType
 from .resample import (
     CPM_OUTPUT_LOCAL_PATH,
     HADS_OUTPUT_LOCAL_PATH,
+    RAW_CPM_PATH,
+    RAW_HADS_PATH,
     CPMResamplerManager,
     HADsResamplerManager,
 )
@@ -24,11 +21,12 @@
 
 warnings.filterwarnings("ignore", category=TqdmExperimentalWarning)
 
-DATA_PATH_DEFAULT: Final[Path] = climate_data_mount_path()
+# DATA_PATH_DEFAULT: Final[Path] = climate_data_mount_path()
 
 
 DEFAULT_OUTPUT_PATH: Final[Path] = Path("clim-recal-runs")
 DEFAULT_RESAMPLE_FOLDER: Final[Path] = Path("resample")
+DEFAULT_CROPS_FOLDER: Final[Path] = Path("crops")
 DEFAULT_CPUS: Final[int] = 2
 
 
@@ -55,7 +53,7 @@ class ClimRecalConfig(BaseRunConfig):
     runs
         Which model runs to include, eg. "01", "08", "11".
     regions
-        Which regions to crop data to. Future plans facilitate skipping to run for entire UK.
+        Which regions to crop both HADs and CPM data to.
     methods
         Which debiasing methods to apply.
     multiprocess
@@ -66,10 +64,12 @@ class ClimRecalConfig(BaseRunConfig):
         `Path` to save all intermediate and final results to.
     resample_folder
         `Path` to append to `output_path` for resampling result files.
-    hads_folder
-        `Path` to append to `output_path` / `resample_folder` for resampling `HADs` files.
-    cpm_folder
-        `Path` to append to `output_path` / `resample_folder` for resampling `CPM` files.
+    crops_folder
+        `Path` to append to `output_path` for cropped resample files.
+    hads_output_folder
+        `Path` to append to `output_path` / `resample_folder` for resampling `HADs` files and to `output_path` / `crop_folder` for crops.
+    cpm_output_folder
+        `Path` to append to `output_path` / `resample_folder` for resampling `CPM` files and to `output_path` / `crop_folder` for crops.
     cpm_kwargs
         A `dict` of parameters to pass to a `CPMResamplerManager`.
     hads_kwargs
@@ -96,22 +96,32 @@ class ClimRecalConfig(BaseRunConfig):
     methods: Sequence[MethodOptions] = (MethodOptions.default(),)
     multiprocess: bool = False
     cpus: int | None = DEFAULT_CPUS
+    hads_input_path: PathLike = RAW_HADS_PATH
+    cpm_input_path: PathLike = RAW_CPM_PATH
     output_path: PathLike = DEFAULT_OUTPUT_PATH
     resample_folder: PathLike = DEFAULT_RESAMPLE_FOLDER
-    hads_folder: PathLike = HADS_OUTPUT_LOCAL_PATH
-    cpm_folder: PathLike = CPM_OUTPUT_LOCAL_PATH
+    crops_folder: PathLike = DEFAULT_CROPS_FOLDER
+    hads_output_folder: PathLike = HADS_OUTPUT_LOCAL_PATH
+    cpm_output_folder: PathLike = CPM_OUTPUT_LOCAL_PATH
     cpm_kwargs: dict = field(default_factory=dict)
     hads_kwargs: dict = field(default_factory=dict)
     start_index: int = 0
     stop_index: int | None = None
     add_local_dated_results_path: bool = True
+    add_local_dated_crops_path: bool = True
     local_dated_results_path_prefix: str = "run"
+    local_dated_crops_path_prefix: str = "crop"
 
     @property
     def resample_path(self) -> Path:
         """The resample_path property."""
         return Path(self.exec_path) / self.resample_folder
 
+    @property
+    def crops_path(self) -> Path:
+        """The resample_path property."""
+        return Path(self.exec_path) / self.crops_folder
+
     @property
     def exec_path(self) -> Path:
         """Path to save preparation and intermediate files.
@@ -119,10 +129,12 @@ def exec_path(self) -> Path:
         Examples
         --------
         >>> print(clim_runner.exec_path)
-        clim-recal-runs/run...
+        <BLANKLINE>
+        ...test-run-results.../run...
         >>> clim_runner.add_local_dated_results_path = False
         >>> print(clim_runner.exec_path)
-        clim-recal-runs
+        <BLANKLINE>
+        ...test-run-results...
         """
         if self.add_local_dated_results_path:
             assert self.dated_results_path
@@ -137,7 +149,8 @@ def dated_results_path(self) -> Path | None:
         Examples
         --------
         >>> print(clim_runner.dated_results_path)
-        clim-recal-runs/run...
+        <BLANKLINE>
+        ...test-run-results.../run...
         >>> clim_runner.add_local_dated_results_path = False
         >>> print(clim_runner.dated_results_path)
         None
@@ -149,15 +162,45 @@ def dated_results_path(self) -> Path | None:
         else:
             return None
 
+    @property
+    def dated_crops_path(self) -> Path | None:
+        """Return a time stamped path if `add_local_dated_crops_path` is `True`.
+
+        Examples
+        --------
+        >>> print(clim_runner.dated_crops_path)
+        <BLANKLINE>
+        ...test-run-results.../crop...
+        >>> clim_runner.add_local_dated_crops_path = False
+        >>> print(clim_runner.dated_crops_path)
+        None
+        """
+        if self.add_local_dated_crops_path:
+            return self.output_path / results_path(
+                self.local_dated_crops_path_prefix, mkdir=True
+            )
+        else:
+            return None
+
     @property
     def resample_hads_path(self) -> Path:
         """The resample_hads_path property."""
-        return self.resample_path / self.hads_folder
+        return self.resample_path / self.hads_output_folder
 
     @property
     def resample_cpm_path(self) -> Path:
         """The resample_hads_path property."""
-        return self.resample_path / self.cpm_folder
+        return self.resample_path / self.cpm_output_folder
+
+    @property
+    def cropped_hads_path(self) -> Path:
+        """The resample_hads_path property."""
+        return self.crops_path / self.hads_output_folder
+
+    @property
+    def cropped_cpm_path(self) -> Path:
+        """The resample_cpm_path property."""
+        return self.crops_path / self.cpm_output_folder
 
     def __post_init__(self) -> None:
         """Initiate related `HADs` and `CPM` managers.
@@ -166,19 +209,23 @@ def __post_init__(self) -> None:
         -----
         The variagles passed to `CPMResamplerManager` do not apply
         `VariableOptions.cpm_values()`, that occurs within `CPMResamplerManager`
-        for ease of coparability with HADs.
+        for ease of comparability with HADs.
         """
         self.cpm_manager = CPMResamplerManager(
+            input_paths=self.cpm_input_path,
             variables=self.variables,
             runs=self.runs,
-            output_paths=self.resample_cpm_path,
+            resample_paths=self.resample_cpm_path,
+            crop_paths=self.crops_path,
             start_index=self.start_index,
             stop_index=self.stop_index,
             **self.cpm_kwargs,
         )
         self.hads_manager = HADsResamplerManager(
+            input_paths=self.hads_input_path,
             variables=self.variables,
-            output_paths=self.resample_hads_path,
+            resample_paths=self.resample_hads_path,
+            crop_paths=self.crops_path,
             start_index=self.start_index,
             stop_index=self.stop_index,
             **self.hads_kwargs,
diff --git a/python/clim_recal/pipeline.py b/python/clim_recal/pipeline.py
index 8dc973c1..db043f14 100644
--- a/python/clim_recal/pipeline.py
+++ b/python/clim_recal/pipeline.py
@@ -147,7 +147,7 @@
     RunOptions,
     VariableOptions,
 )
-from .resample import CPMResampler, HADsResampler
+from .resample import RAW_CPM_PATH, RAW_HADS_PATH, CPMResampler, HADsResampler
 
 REPROJECTION_SHELL_SCRIPT: Final[Path] = Path("../bash/reproject_one.sh")
 REPROJECTION_WRAPPER_SHELL_SCRIPT: Final[Path] = Path("../bash/reproject_all.sh")
@@ -155,6 +155,8 @@
 
 def main(
     execute: bool = False,
+    hads_input_path: PathLike = RAW_HADS_PATH,
+    cpm_input_path: PathLike = RAW_CPM_PATH,
     output_path: PathLike = DEFAULT_OUTPUT_PATH,
     variables: Sequence[VariableOptions | str] = (VariableOptions.default(),),
     regions: Sequence[RegionOptions | str] | None = (RegionOptions.default(),),
@@ -165,11 +167,10 @@ def main(
     default_runs: bool = False,
     all_runs: bool = False,
     all_methods: bool = False,
-    skip_cpm_standard_calendar_projection: bool = False,
-    skip_hads_spatial_2k_projection: bool = False,
-    skip_cropping: bool = True,
-    crop_cpm: bool = True,
+    hads_projection: bool = False,
+    cpm_projection: bool = False,
     crop_hads: bool = True,
+    crop_cpm: bool = True,
     cpus: int | None = None,
     multiprocess: bool = False,
     start_index: int = 0,
@@ -177,7 +178,7 @@ def main(
     total: int | None = None,
     print_range_length: int | None = 5,
     **kwargs,
-) -> ClimRecalRunResultsType:
+) -> ClimRecalRunResultsType | None:
     """Run all elements of the pipeline.
 
     Parameters
@@ -210,7 +211,6 @@ def main(
     The default parameters here are meant to reflect the entire
     workflow process to ease reproducibility.
 
-
     Examples
     --------
 
@@ -243,8 +243,9 @@ def main(
             f"'stop_index': {stop_index} set from 'total': {total} and 'start_index': {start_index}."
         )
     variables = VariableOptions.all() if all_variables else tuple(variables)
-    assert regions  # In future there will be support for skipping region cropping
-    regions = RegionOptions.all() if all_regions else tuple(regions)
+    regions = (
+        RegionOptions.all() if all_regions else tuple(regions) if regions else None
+    )
     methods = MethodOptions.all() if all_methods else tuple(methods)
     if all_runs:
         runs = RunOptions.all()
@@ -254,6 +255,8 @@ def main(
         runs = tuple(runs)
 
     config: ClimRecalConfig = ClimRecalConfig(
+        cpm_input_path=cpm_input_path,
+        hads_input_path=hads_input_path,
         output_path=output_path,
         variables=variables,
         regions=regions,
@@ -270,7 +273,7 @@ def main(
     print(config.cpm_manager)
     print(config.hads_manager)
     if execute:
-        if skip_cpm_standard_calendar_projection:
+        if not cpm_projection:
             print("Skipping CPM Strandard Calendar projection.")
         else:
             print("Running CPM Standard Calendar projection...")
@@ -280,7 +283,9 @@ def main(
                 )
             )
             print(cpm_resamplers[:print_range_length])
-        if skip_hads_spatial_2k_projection:
+            # Leaving assert to remind ease for debugging in future
+            # assert False
+        if not hads_projection:
             print("Skipping HADs aggregation to 2.2km spatial units.")
         else:
             print("Running HADs aggregation to 2.2km spatial units...")
@@ -290,31 +295,31 @@ def main(
                 )
             )
             print(hads_resamplers[:print_range_length])
-        if skip_cropping or not crop_cpm or not crop_hads:
-            print("Skipping cropping.")
+        if not crop_hads and not crop_cpm:
+            print("Skipping region cropping.")
         else:
-            if skip_cpm_standard_calendar_projection and not crop_cpm:
+            if not crop_cpm:
                 print("Skipping cropping CPM Standard Calendar projections.")
             else:
                 print(f"Cropping CPMs to regions {config.regions}: ...")
-                cropped_cpm_resamplers: tuple[CPMResampler, ...] = (
-                    config.cpm_manager.range_crop_projection(
-                        # multiprocess=multiprocess, cpus=cpus
+                region_cropped_cpm_resamples: tuple[CPMResampler, ...] = (
+                    config.cpm_manager.execute_region_crop_configs(
+                        multiprocess=multiprocess, cpus=cpus
                     )
                 )
-                print(cropped_cpm_resamplers[:print_range_length])
-            if skip_cpm_standard_calendar_projection and not crop_hads:
+                print(region_cropped_cpm_resamples[:print_range_length])
+            if not hads_regions:
                 print("Skipping cropping HADS 2.2km projections.")
             else:
                 print(
                     f"Cropping HADS 2.2km projections to regions {config.regions}: ..."
                 )
-                cropped_hads_resamplers: tuple[CPMResampler, ...] = (
-                    config.hads_manager.range_crop_projection(
-                        # multiprocess=multiprocess, cpus=cpus
+                region_cropped_hads_resamples: tuple[CPMResampler, ...] = (
+                    config.hads_manager.execute_region_crop_configs(
+                        multiprocess=multiprocess, cpus=cpus
                     )
                 )
-                print(cropped_hads_resamplers[:print_range_length])
+                print(region_cropped_hads_resamples[:print_range_length])
     else:
         print("No steps run. Add '--execute' to run steps.")
 
diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index 8c16375e..64938f93 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -52,12 +52,17 @@
 CFCalendarSTANDARD: Final[str] = "standard"
 
 RESAMPLING_OUTPUT_PATH: Final[PathLike] = (
-    CLIMATE_DATA_MOUNT_PATH / "Raw/python_refactor/"
+    CLIMATE_DATA_MOUNT_PATH / "CPM-365/andys-two-gdal-step-approach/resample"
+)
+CROP_OUTPUT_PATH: Final[PathLike] = (
+    CLIMATE_DATA_MOUNT_PATH / "CPM-365/andys-two-gdal-step-approach/crop"
 )
 RAW_HADS_PATH: Final[PathLike] = CLIMATE_DATA_MOUNT_PATH / "Raw/HadsUKgrid"
 RAW_CPM_PATH: Final[PathLike] = CLIMATE_DATA_MOUNT_PATH / "Raw/UKCP2.2"
 RAW_HADS_TASMAX_PATH: Final[PathLike] = RAW_HADS_PATH / "tasmax/day"
 RAW_CPM_TASMAX_PATH: Final[PathLike] = RAW_CPM_PATH / "tasmax/01/latest"
+
+# TODO: remove REPROJECTED_CPM_TASMAX_05_LATEST_INPUT_PATH
 REPROJECTED_CPM_TASMAX_05_LATEST_INPUT_PATH: Final[PathLike] = Path(
     CLIMATE_DATA_MOUNT_PATH / "Reprojected_infill/UKCP2.2/tasmax/05/latest"
 )
@@ -301,6 +306,10 @@ def execute(self, skip_spatial: bool = False, **kwargs) -> list[Path] | None:
         """Run all steps for processing"""
         return self.range_to_reprojection(**kwargs) if not skip_spatial else None
 
+    def execute_crops(self, skip_crop: bool = False, **kwargs) -> list[Path] | None:
+        """Run all specified crops."""
+        return self.range_crop_projection(**kwargs) if not skip_crop else None
+
     def _sync_reprojected_paths(
         self, overwrite_output_path: PathLike | None = None
     ) -> None:
@@ -646,7 +655,7 @@ class HADsResamplerManager:
     ----------
     input_paths
         `Path` or `Paths` to `CPM` files to process. If `Path`, will be propegated with files matching
-    output_paths
+    resample_paths
         `Path` or `Paths` to to save processed `CPM` files to. If `Path` will be propagated to match `input_paths`.
     variables
         Which `VariableOptions` to include.
@@ -661,17 +670,19 @@ class HADsResamplerManager:
     ...     pytest.skip(mount_doctest_skip_message)
     >>> hads_resampler_manager: HADsResamplerManager = HADsResamplerManager(
     ...     variables=VariableOptions.all(),
-    ...     output_paths=resample_test_hads_output_path,
+    ...     resample_paths=resample_test_hads_output_path,
     ...     )
     >>> hads_resampler_manager
     <HADsResamplerManager(variables_count=3, input_paths_count=3)>
     """
 
     input_paths: PathLike | Sequence[PathLike] = RAW_HADS_PATH
-    output_paths: PathLike | Sequence[PathLike] = (
+    resample_paths: PathLike | Sequence[PathLike] = (
         RESAMPLING_OUTPUT_PATH / HADS_OUTPUT_LOCAL_PATH
     )
     variables: Sequence[VariableOptions | str] = (VariableOptions.default(),)
+    crop_regions: tuple[RegionOptions | str, ...] | None = RegionOptions.all()
+    crop_paths: PathLike = RESAMPLING_OUTPUT_PATH / HADS_CROP_OUTPUT_LOCAL_PATH
     sub_path: Path = Path("day")
     start_index: int = 0
     stop_index: int | None = None
@@ -681,7 +692,11 @@ class HADsResamplerManager:
     config_default_kwargs: dict[str, Any] = field(default_factory=dict)
     resampler_class: type[HADsResampler] = HADsResampler
     cpus: int | None = None
-    _var_path_dict: dict[VariableOptions | str, Sequence[Path]] = field(
+    _var_path_dict: dict[PathLike, VariableOptions | str] = field(default_factory=dict)
+    _var_resampled_path_dict: dict[PathLike, VariableOptions | str] = field(
+        default_factory=dict
+    )
+    _var_cropped_path_dict: dict[PathLike, VariableOptions | str] = field(
         default_factory=dict
     )
     _strict_fail_if_var_in_input_path: bool = True
@@ -708,13 +723,21 @@ def input_folder(self) -> Path | None:
             return None
 
     @property
-    def output_folder(self) -> Path | None:
-        """Return `self._output_path` set by `set_output_paths()`."""
+    def resample_folder(self) -> Path | None:
+        """Return `self._output_path` set by `set_resample_paths()`."""
         if hasattr(self, "_input_path"):
             return Path(self._input_path)
         else:
             return None
 
+    @property
+    def crop_folder(self) -> Path | None:
+        """Return `self._output_path` set by `set_resample_paths()`."""
+        if hasattr(self, "_crop_path"):
+            return Path(self._crop_path)
+        else:
+            return None
+
     def __repr__(self) -> str:
         """Summary of `self` configuration as a `str`."""
         return (
@@ -723,10 +746,12 @@ def __repr__(self) -> str:
             f"input_paths_count={len(self.input_paths) if isinstance(self.input_paths, Sequence) else 1})>"
         )
 
-    def _gen_folder_paths(
-        self, path: PathLike, append_var_path_dict: bool = False
+    def _gen_input_folder_paths(
+        self,
+        path: PathLike,
+        append_var_path_dict: bool = False,
     ) -> Iterator[Path]:
-        """Return a Generator of paths of `self.variables` and `self.runs`."""
+        """Yield input paths of `self.variables` and `self.runs`."""
         var_path: Path
         for var in self.variables:
             var_path = Path(path) / var / self.sub_path
@@ -734,15 +759,57 @@ def _gen_folder_paths(
                 self._var_path_dict[var_path] = var
             yield var_path
 
-    def check_paths(self, run_set_data_paths: bool = True):
+    def _gen_resample_folder_paths(
+        self,
+        path: PathLike,
+        append_resampled_path_dict: bool = False,
+    ) -> Iterator[Path]:
+        """Yield paths of resampled `self.variables` and `self.runs`."""
+        var_path: Path
+        for var in self.variables:
+            var_path = Path(path) / var
+            # Originally used to managed input_data paths like "latest"
+            # Likely unneeded since _gen_input_folder_paths added
+            # if input_sub_path:
+            #     var_path /= self.sub_path
+            if append_resampled_path_dict:
+                self._var_resampled_path_dict[var_path] = var
+            yield var_path
+
+    def _gen_crop_folder_paths(
+        self, path: PathLike, append_var_cropped_path_dict: bool = False
+    ) -> Iterator[Path]:
+        """Return a Generator of paths of `self.variables` and `self.crops`."""
+        var_path: Path
+        for var in self.variables:
+            for region in self.crop_regions:
+                var_path = Path(path) / var / region
+                if append_var_cropped_path_dict:
+                    self._var_cropped_path_dict[var_path] = var
+                    # Todo: remove below when crop testing complete
+                    # self._var_cropped_path_dict[var].append(var_path)
+                yield var_path
+
+    def check_paths(
+        self, run_set_data_paths: bool = True, run_set_crop_paths: bool = True
+    ):
         """Check if all `self.input_paths` exist."""
 
         if run_set_data_paths:
             self.set_input_paths()
-            self.set_output_paths()
+            self.set_resample_paths()
+        if run_set_crop_paths:
+            self.set_crop_paths()
         assert isinstance(self.input_paths, Iterable)
-        assert isinstance(self.output_paths, Iterable)
-        assert len(self.input_paths) == len(self.output_paths)
+        assert isinstance(self.resample_paths, Iterable)
+        if self.crop_paths:
+            try:
+                assert isinstance(self.crop_paths, Iterable)
+            except AssertionError:
+                raise ValueError(
+                    f"'crop_paths' not iterable for {self}. Hint: try setting 'run_set_crop_paths' to 'True'."
+                )
+        assert len(self.input_paths) == len(self.resample_paths)
         for path in self.input_paths:
             try:
                 assert Path(path).exists()
@@ -767,7 +834,9 @@ def set_input_paths(self):
         if isinstance(self.input_paths, PathLike):
             self._input_path = self.input_paths
             self.input_paths = tuple(
-                self._gen_folder_paths(self.input_paths, append_var_path_dict=True)
+                self._gen_input_folder_paths(
+                    self.input_paths, append_var_path_dict=True
+                )
             )
             if self._strict_fail_if_var_in_input_path:
                 for var in self.variables:
@@ -780,21 +849,56 @@ def set_input_paths(self):
                             f"set '_strict_fail_if_var_in_input_path' to 'False'."
                         )
 
-    def set_output_paths(self):
-        """Propagate `self.output_paths` if needed."""
-        if isinstance(self.output_paths, PathLike):
-            self._output_path = self.output_paths
-            self.output_paths = tuple(self._gen_folder_paths(self.output_paths))
+    def set_resample_paths(self):
+        """Propagate `self.resample_paths` if needed."""
+        if isinstance(self.resample_paths, PathLike):
+            self._output_path = self.resample_paths
+            self.resample_paths = tuple(
+                self._gen_resample_folder_paths(
+                    self.resample_paths, append_resampled_path_dict=True
+                )
+            )
+
+    def set_crop_paths(self):
+        """Propagate `self.resample_paths` if needed."""
+        if isinstance(self.crop_paths, PathLike):
+            self._crop_path = self.crop_paths
+            self.crop_paths = tuple(
+                self._gen_crop_folder_paths(
+                    self.crop_paths, append_var_cropped_path_dict=True
+                )
+            )
 
     def yield_configs(self) -> Iterable[HADsResampler]:
         """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
         self.check_paths()
         assert isinstance(self.input_paths, Iterable)
-        assert isinstance(self.output_paths, Iterable)
+        assert isinstance(self.resample_paths, Iterable)
+        for index, var_path in enumerate(self._var_path_dict.items()):
+            for crop_path, region in self._var_cropped_path_dict.items():
+                yield self.resampler_class(
+                    input_path=var_path[0],
+                    output_path=self.resample_paths[index],
+                    variable_name=var_path[1],
+                    start_index=self.start_index,
+                    stop_index=self.stop_index,
+                    crop_path=crop_path,
+                    # Todo: remove below if single crop configs iterate over all
+                    # crop_regions=self.crop_regions,
+                    crop_regions=(region,),
+                    **self.config_default_kwargs,
+                )
+
+    #
+    def yield_crop_configs(self) -> Iterable[HADsResampler]:
+        """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
+        self.check_paths()
+        assert isinstance(self.resample_paths, Iterable)
+        assert isinstance(self.crop_path, Iterable)
         for index, var_path in enumerate(self._var_path_dict.items()):
             yield self.resampler_class(
                 input_path=var_path[0],
-                output_path=self.output_paths[index],
+                output_path=self.resample_paths[index],
                 variable_name=var_path[1],
                 start_index=self.start_index,
                 stop_index=self.stop_index,
@@ -858,6 +962,37 @@ def execute_resample_configs(
                 results.append(resampler.execute())
         return resamplers
 
+    def execute_crop_configs(
+        self, multiprocess: bool = False, cpus: int | None = None
+    ) -> tuple[CPMResampler | HADsResampler, ...]:
+        """Run all resampler configurations
+
+        Parameters
+        ----------
+        multiprocess
+            If `True` run parameters in `resample_configs` with `multiprocess_execute`.
+        cpus
+            Number of `cpus` to pass to `multiprocess_execute`.
+        """
+        croppers: tuple[CPMResampler | HADsResampler, ...] = tuple(
+            self.yield_configs(
+                input_path=self.resample_paths, output_path=self.crop_path
+            )
+        )
+        results: list[list[Path] | None] = []
+        if multiprocess:
+            cpus = cpus or self.cpus
+            if self.total_cpus and cpus:
+                cpus = min(cpus, self.total_cpus - 1)
+            results = multiprocess_execute(
+                croppers, method_name="execute_crops", cpus=cpus
+            )
+        else:
+            for cropper in croppers:
+                print(cropper)
+                results.append(cropper.execute_crops())
+        return croppers
+
 
 @dataclass(kw_only=True, repr=False)
 class CPMResamplerManager(HADsResamplerManager):
@@ -868,8 +1003,8 @@ class CPMResamplerManager(HADsResamplerManager):
     >>> if not is_data_mounted:
     ...     pytest.skip(mount_doctest_skip_message)
     >>> cpm_resampler_manager: CPMResamplerManager = CPMResamplerManager(
-    ...     stop_index=10,
-    ...     output_paths=resample_test_cpm_output_path,
+    ...     stop_index=9,
+    ...     resample_paths=resample_test_cpm_output_path,
     ...     )
     >>> cpm_resampler_manager
     <CPMResamplerManager(variables_count=1, runs_count=4,
@@ -892,7 +1027,7 @@ class CPMResamplerManager(HADsResamplerManager):
     """
 
     input_paths: PathLike | Sequence[PathLike] = RAW_CPM_PATH
-    output_paths: PathLike | Sequence[PathLike] = (
+    resample_paths: PathLike | Sequence[PathLike] = (
         RESAMPLING_OUTPUT_PATH / CPM_OUTPUT_LOCAL_PATH
     )
     sub_path: Path = Path("latest")
@@ -901,6 +1036,7 @@ class CPMResamplerManager(HADsResamplerManager):
     configs: list[CPMResampler] = field(default_factory=list)
     resampler_class: type[CPMResampler] = CPMResampler
     runs: Sequence[RunOptions] = RunOptions.preferred()
+    crop_paths: PathLike = RESAMPLING_OUTPUT_PATH / CPM_CROP_OUTPUT_LOCAL_PATH
 
     # Uncomment if cpm specific paths like 'pr' for 'rainbow'
     # are needed at the manager level.
@@ -918,10 +1054,10 @@ def __repr__(self) -> str:
             f"input_paths_count={len(self.input_paths) if isinstance(self.input_paths, Sequence) else 1})>"
         )
 
-    def _gen_folder_paths(
+    def _gen_input_folder_paths(
         self, path: PathLike, append_var_path_dict: bool = False, cpm_paths: bool = True
     ) -> Iterator[Path]:
-        """Return a Generator of paths of `self.variables` and `self.runs`."""
+        """Yield input paths of `self.variables` and `self.runs`."""
         var_path: Path
         for var in self.variables:
             for run_type in self.runs:
@@ -936,4 +1072,50 @@ def _gen_folder_paths(
                     var_path: Path = Path(path) / var / run_type / self.sub_path
                 if append_var_path_dict:
                     self._var_path_dict[var_path] = var
+                    # Todo: remove below once testing confirms _var_path_dict works
+                    # self._var_path_dict[var].append(var_path)
                 yield var_path
+
+    def _gen_resample_folder_paths(
+        self,
+        path: PathLike,
+        append_resampled_path_dict: bool = False,
+        cpm_paths: bool = True,
+    ) -> Iterator[Path]:
+        """Return a Generator of paths of `self.variables` and `self.runs`."""
+        var_path: Path
+        for var in self.variables:
+            for run_type in self.runs:
+                if cpm_paths:
+                    var_path: Path = (
+                        Path(path) / VariableOptions.cpm_value(var) / run_type
+                    )
+                else:
+                    var_path: Path = Path(path) / var / run_type
+                if append_resampled_path_dict:
+                    self._var_resampled_path_dict[var_path] = var
+                yield var_path
+
+    def _gen_crop_folder_paths(
+        self,
+        path: PathLike,
+        append_var_cropped_path_dict: bool = False,
+        cpm_paths: bool = True,
+    ) -> Iterator[Path]:
+        """Return a Generator of paths of `self.variables` and `self.crops`."""
+        var_path: Path
+        for var in self.variables:
+            for region in self.crop_regions:
+                for run_type in self.runs:
+                    if cpm_paths:
+                        var_path: Path = (
+                            Path(path)
+                            / VariableOptions.cpm_value(var)
+                            / region
+                            / run_type
+                        )
+                    else:
+                        var_path: Path = Path(path) / var / region / run_type
+                    if append_var_cropped_path_dict:
+                        self._var_cropped_path_dict[var_path] = var
+                    yield var_path
diff --git a/python/clim_recal/utils/data.py b/python/clim_recal/utils/data.py
index c67590de..b5bed3e5 100644
--- a/python/clim_recal/utils/data.py
+++ b/python/clim_recal/utils/data.py
@@ -14,7 +14,7 @@
 BRITISH_NATION_GRID_COORDS_NUMBER: Final[int] = 27700
 BRITISH_NATIONAL_GRID_EPSG: Final[str] = f"EPSG:{BRITISH_NATION_GRID_COORDS_NUMBER}"
 
-DEFAULT_RESAMPLING_METHOD: Final[Resampling] = Resampling.bilinear
+DEFAULT_RESAMPLING_METHOD: Final[Resampling] = Resampling.average
 
 AuthorshipType = Union[
     str | tuple[str, ...], dict[str, str] |
@@ -169,11 +169,11 @@ def resampling_method(cls, variable: str | None) -> Resampling:
         Examples
         --------
         >>> VariableOptions.resampling_method('rainfall')
-        <Resampling.bilinear: 1>
+        <Resampling.average: 5>
         >>> VariableOptions.resampling_method('tasmin')
         <Resampling.min: 9>
         >>> VariableOptions.resampling_method(None)
-        <Resampling.bilinear: 1>
+        <Resampling.average: 5>
         """
         return cls._method_dict()[variable.lower()] if variable else cls.default_resample_method()
 
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 7eb5af73..5ef28af9 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -389,7 +389,8 @@ def xr_reproject_crs(
         without_attributes_reprojected: T_DataArray = without_attributes.rio.reproject(
             final_crs, resampling=resampling_method, nodata=nodata, **kwargs
         )
-    return Dataset({variable_name: without_attributes_reprojected})
+    final_dataset: T_Dataset = Dataset({variable_name: without_attributes_reprojected})
+    return final_dataset.rio.write_crs(BRITISH_NATIONAL_GRID_EPSG)
 
 
 def _ensure_resample_method_name(
@@ -525,19 +526,26 @@ def hads_resample_and_reproject(
         match_xr_time_series=cpm_to_match,
         match_xr_time_series_load_func=cpm_to_match_func,
         resampling_method=VariableOptions.resampling_method(variable_name),
+        # Check if the following line is needed
         # match_xr_time_series_load_kwargs=dict(variable_name=variable_name),
     )
 
+    final_epsg_277000_2_2km: T_Dataset
+
     # Check if the minimum values should be NULL
     min_value: float = epsg_277000_2_2km[variable_name].min()
+
     if min_value < HADS_MIN_NULL:
         logger.info(f"Setting '{variable_name}' values less than {min_value} as `nan`")
-        return epsg_277000_2_2km.where(epsg_277000_2_2km[variable_name] > min_value)
+        final_epsg_277000_2_2km = epsg_277000_2_2km.where(
+            epsg_277000_2_2km[variable_name] > min_value
+        )
     else:
         logger.debug(
-            f"'{variable_name}' values less than {min_value} kept. 'HADS_MIN_NULL': {HADS_MIN_NULL}"
+            f"Keeping '{variable_name}' values less than {min_value}. 'HADS_MIN_NULL': {HADS_MIN_NULL}"
         )
-        return epsg_277000_2_2km
+        final_epsg_277000_2_2km = epsg_277000_2_2km
+    return final_epsg_277000_2_2km.rio.write_crs(BRITISH_NATIONAL_GRID_EPSG)
 
 
 def plot_xarray(
@@ -1203,10 +1211,6 @@ def generate_360_to_standard(array_to_expand: T_DataArray) -> T_DataArray:
     """Return `array_to_expand` 360 days expanded to 365 or 366 days.
 
     This may be dropped if `cpm_reproject_with_standard_calendar` is successful.
-
-    Examples
-    --------
-    >>>
     """
     initial_days: int = len(array_to_expand)
     assert initial_days == 360
diff --git a/python/conftest.py b/python/conftest.py
index cf22f595..c3c207c0 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -1,5 +1,6 @@
 import asyncio
 from argparse import BooleanOptionalAction
+from os import PathLike
 from pathlib import Path
 from pprint import pprint
 from shutil import copytree, rmtree
@@ -381,21 +382,33 @@ def clim_runner(
     tmp_path: Path,
     local_cache: bool,
     local_cache_fixtures: LocalCachesManager,
+    test_runs_output_path: PathLike,
+    local_hads_cache_path: PathLike,
+    local_cpm_cache_path: PathLike,
 ) -> ClimRecalConfig:
     """Return default `ClimRecalConfig`."""
     assert local_cache_fixtures.default_local_cache_path
     assert local_cache_fixtures.check_default_cache_path()
+    regions: tuple[RegionOptions, RegionOptions] = (
+        RegionOptions.GLASGOW,
+        RegionOptions.MANCHESTER,
+    )
     try:
+        # Todo: refactor to more easily specify `local_cache`
+        assert not local_cache
         return ClimRecalConfig(
             preprocess_out_folder=tmp_path,
-            regions=(RegionOptions.GLASGOW, RegionOptions.MANCHESTER),
+            regions=regions,
+            output_path=test_runs_output_path,
         )
-    except FileExistsError:
+    except (FileExistsError, AssertionError):
         return ClimRecalConfig(
             preprocess_out_folder=tmp_path,
-            regions=(RegionOptions.GLASGOW, RegionOptions.MANCHESTER),
-            hads_folder=local_cache_fixtures.default_local_cache_path,
-            cpm_folder=local_cache_fixtures.default_local_cache_path,
+            regions=regions,
+            output_path=test_runs_output_path,
+            hads_input_path=local_hads_cache_path,
+            cpm_input_path=local_cpm_cache_path,
+            # Todo: refactor to use caching to speed up runs
             cpm_kwargs=dict(_allow_check_fail=True),
             hads_kwargs=dict(_allow_check_fail=True),
         )
diff --git a/python/tests/test_pipeline.py b/python/tests/test_pipeline.py
index 4cdecbe8..e9398cfe 100644
--- a/python/tests/test_pipeline.py
+++ b/python/tests/test_pipeline.py
@@ -35,15 +35,19 @@ def test_climate_data_mount_path() -> None:
 )
 @pytest.mark.parametrize("multiprocess", (True, False))
 @pytest.mark.parametrize("variables", (("rainfall",), ("rainfall", "tasmax")))
+@pytest.mark.parametrize("regions", ("Glasgow", None))
 def test_main(
     execute: bool,
     variables: tuple[str],
     test_runs_output_path: Path,
     multiprocess: bool,
+    regions: str | tuple[str] | None,
     capsys,
 ) -> None:
     """Test running pipeline configurations."""
-    run_folder_name: str = f"{'-'.join(variables)}-multi-{multiprocess}"
+    run_folder_name: str = (
+        f"{'-'.join(variables)}" f"-multi-{multiprocess}" f"-crop-regions-{regions}"
+    )
     if execute:
         run_folder_name = "executed-" + run_folder_name
     output_path: Path = test_runs_output_path / run_folder_name
@@ -52,8 +56,9 @@ def test_main(
         execute=execute,
         variables=variables,
         output_path=output_path,
-        skip_hads_spatial_2k_projection=True,
-        skip_cpm_standard_calendar_projection=False,
+        hads_projection=True,
+        cpm_projection=False,
+        regions=regions,
         stop_index=1,
         cpus=2,
         multiprocess=multiprocess,
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 76ee4335..d6d1586b 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -742,6 +742,7 @@ def test_hads_resample_and_reproject(
     variable_name: str = "tasmax"
     output_path: Path = Path("tests/runs/reample-hads")
     # First index is for month, in this case January 1980
+    # The following could be replaced by a cached fixture
     cpm_to_match: T_Dataset = cpm_reproject_with_standard_calendar(tasmax_cpm_1980_raw)
     plot_xarray(
         tasmax_hads_1980_raw.tasmax[0],
@@ -781,6 +782,12 @@ def test_hads_resample_and_reproject(
     )  # replaces projection_y_coordinate
     assert reprojected.rio.crs == read_from_export.rio.crs == BRITISH_NATIONAL_GRID_EPSG
     # Check projection coordinates match for CPM and HADs
+    assert (
+        reprojected.tasmax.rio.crs
+        == read_from_export.tasmax.rio.crs
+        == BRITISH_NATIONAL_GRID_EPSG
+    )
+    # Check projection coordinates are set at the variable level
     assert all(cpm_to_match.x == read_from_export.x)
     assert all(cpm_to_match.y == read_from_export.y)
     assert (

From d8e94aae7f9d04762445612cd5ee14e5b79f8922 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 3 Sep 2024 15:03:10 +0100
Subject: [PATCH 64/92] doc: add downloads landing page

---
 docs/download.qmd | 10 ++++++++++
 1 file changed, 10 insertions(+)
 create mode 100644 docs/download.qmd

diff --git a/docs/download.qmd b/docs/download.qmd
new file mode 100644
index 00000000..b91f0ded
--- /dev/null
+++ b/docs/download.qmd
@@ -0,0 +1,10 @@
+---
+title: "Dataset Links"
+format: html
+---
+
+Thanks for your interest in `clim-recal` data and metrics. We plan to release a set of combined observation and simulation datasets for three cities in the UK and invite authors of bias correction methods to benchmark their methods for those cities.
+
+We are still completing this work. As soon as the data are ready for publication, we will update this page with information on how to access them - check back soon.
+
+In the meantime, please check [our blog article](https://urban-analytics-technology-platform.github.io/blog/platform_v2_release/) describing this work.

From 1296aa915d98d58d9dc1c9ee84be20a94f310524 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 3 Sep 2024 15:04:54 +0100
Subject: [PATCH 65/92] fix: `docker` `jupyter` config, `cli` options and setup
 doc

---
 compose/jupyter/Dockerfile | 13 +++++++------
 python/clim_recal/cli.py   | 26 +++++++++++---------------
 setup-instructions.md      | 20 ++++++++++++++++++--
 3 files changed, 36 insertions(+), 23 deletions(-)

diff --git a/compose/jupyter/Dockerfile b/compose/jupyter/Dockerfile
index e788ce5c..775adaa9 100644
--- a/compose/jupyter/Dockerfile
+++ b/compose/jupyter/Dockerfile
@@ -28,17 +28,14 @@ RUN \
 USER root
 
 # build-essential is needed for pysqlite3 and gdal
-RUN sudo apt-get update && sudo apt-get install -y build-essential
+# RUN sudo apt-get update && sudo apt-get install -y build-essential
 
 # First line changes a startup hook, which will activate the custom environment
-RUN \
-    echo conda activate "${env_name}" >> /usr/local/bin/before-notebook.d/10activate-conda-env.sh && \
-    echo conda activate "${env_name}" >> /etc/skel/.bashrc
-# Above line makes the custom environment default in Jupyter Terminals for all users which might be created later
+# RUN echo conda activate "${env_name}" >> /usr/local/bin/before-notebook.d/10activate-conda-env.sh
 
 COPY . .
 
-RUN chown -R ${NB_USER} /home/${NB_USER}
+RUN chown -R ${NB_USER}:${NB_GID} /home/${NB_USER}
 
 USER ${NB_UID}
 
@@ -46,7 +43,11 @@ USER ${NB_UID}
 # adding to fix, worth checking if necessary in future
 # RUN conda update -n ${env_name} -y --all && \
 #     conda install -n ${env_name} -y pysqlite3
+# RUN conda install -n ${env_name} -y pysqlite3
 
 # This makes the custom environment default in Jupyter Terminals for already existing NB_USER
 # Note this *doesn't* apply if simply using sh -c
 RUN echo conda activate "${env_name}" >> "/home/${NB_USER}/.bashrc"
+# RUN echo export activate "${env_name}" >> "/home/${NB_USER}/.bashrc"
+# RUN export _PYPROJECT_HOOKS_BUILD_BACKEND=/home/${NB_USER}/.local/bin/pdm
+# RUN cd python && conda run -n ${env_name} pdm install -v
diff --git a/python/clim_recal/cli.py b/python/clim_recal/cli.py
index 8dfc7891..99bb551e 100644
--- a/python/clim_recal/cli.py
+++ b/python/clim_recal/cli.py
@@ -65,21 +65,18 @@ def pipeline(
     all_runs: Annotated[bool, typer.Option("--all-runs")] = False,
     default_runs: Annotated[bool, typer.Option("--default-runs")] = False,
     all_methods: Annotated[bool, typer.Option("--all-methods")] = False,
-    skip_cpm_projection: Annotated[bool, typer.Option("--skip-cpm-projection")] = False,
-    skip_hads_projection: Annotated[
-        bool, typer.Option("--skip-hads-projection")
-    ] = False,
-    skip_cropping: Annotated[bool, typer.Option("--skip-cropping")] = False,
-    cpm_regions: Annotated[bool, typer.Option("--crop-cpm")] = True,
-    hads_regions: Annotated[bool, typer.Option("--crop-hads")] = True,
+    cpm_projection: Annotated[bool, typer.Option("--project-cpm")] = True,
+    hads_projection: Annotated[bool, typer.Option("--project-hads")] = True,
+    crop_hads: Annotated[bool, typer.Option("--crop-cpm")] = True,
+    crop_cpm: Annotated[bool, typer.Option("--crop-hads")] = True,
     execute: Annotated[bool, typer.Option("--execute")] = False,
     start_index: Annotated[int, typer.Option("--start-index", "-s", min=0)] = 0,
     total: Annotated[int, typer.Option("--total-from-index", "-t", min=0)] = 0,
     cpus: Annotated[int, typer.Option("--cpus", min=1, max=MAX_CPUS)] = DEFAULT_CPUS,
     multiprocess: Annotated[bool, typer.Option("--use-multiprocessing")] = False,
-) -> ClimRecalRunResultsType:
-    """Run all or portions of UK climate projection debiasing methods."""
-    results: ClimRecalRunResultsType = main(
+) -> ClimRecalRunResultsType | None:
+    """Crop and align UK climate projections and test debias methods."""
+    results: ClimRecalRunResultsType | None = main(
         hads_input_path=hads_input_path,
         cpm_input_path=cpm_input_path,
         variables=variable,
@@ -87,13 +84,12 @@ def pipeline(
         regions=region,
         methods=method,
         output_path=output_path,
-        cpm_regions=cpm_regions,
-        hads_regions=hads_regions,
         cpus=cpus,
         execute=execute,
-        skip_cpm_standard_calendar_projection=skip_cpm_projection,
-        skip_hads_spatial_2k_projection=skip_hads_projection,
-        skip_cropping=skip_cropping,
+        cpm_projection=cpm_projection,
+        hads_projection=hads_projection,
+        crop_hads=crop_hads,
+        crop_cpm=crop_cpm,
         start_index=start_index,
         total=total,
         multiprocess=multiprocess,
diff --git a/setup-instructions.md b/setup-instructions.md
index e8bb27eb..c45e2bfa 100644
--- a/setup-instructions.md
+++ b/setup-instructions.md
@@ -13,6 +13,10 @@ git clone https://github.com/alan-turing-institute/clim-recal
 cd clim-recal
 pip install conda-lock
 conda-lock install --name clim-recal conda-lock.yml
+conda activate clim-recal
+cd python
+pdm install
+clim-recal --help
 ```
 
 For `docker`:
@@ -20,9 +24,21 @@ For `docker`:
 ```bash
 git clone https://github.com/alan-turing-institute/clim-recal
 cd clim-recal
-docker compose up
-```
+docker compose build jupyter
+docker compose up jupyter
+docker compose run jupyter bash
+cd python
+pdm install
+pdm run clim-recal --help
+```
+::: {.callout-warning}
+There are cases where `pdm install` raises a `KeyError: '_PYPROJECT_HOOKS_BUILD_BACKEND'`. Thus far, running `pdm install` again works.
+:::
+
+```console
+clim-recal --help
 
+```
 
 # Python
 

From 355ee3c79dfd05879151e1a96f304b3b82b549f6 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 3 Sep 2024 15:53:36 +0100
Subject: [PATCH 66/92] chore: update `python` dependencies

---
 .conda-linux-64.lock       |  148 +--
 compose/jupyter/Dockerfile |    2 +-
 conda-lock.yml             | 2307 +++++++++++++++++++-----------------
 python/pdm.lock            |  411 ++++---
 python/pyproject.toml      |    4 +-
 5 files changed, 1528 insertions(+), 1344 deletions(-)

diff --git a/.conda-linux-64.lock b/.conda-linux-64.lock
index c7207834..62f25392 100644
--- a/.conda-linux-64.lock
+++ b/.conda-linux-64.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 2b519e031a7313cf1177defbb5591df97a746f96bfb527d745b65470b3097ab4
+# input_hash: 4a2428c5c83e47fb6ff0683f7af0d035adbc72e34d039ee85c713a05698e94c8
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://repo.anaconda.com/pkgs/main/linux-64/blas-1.0-openblas.conda#9ddfcaef10d79366c90128f5dc444be8
@@ -10,18 +10,22 @@ https://repo.anaconda.com/pkgs/main/noarch/font-ttf-inconsolata-2.001-hcb22688_0
 https://repo.anaconda.com/pkgs/main/noarch/font-ttf-source-code-pro-2.030-hd3eb1b0_0.conda#eb091595cff4c5452f2f409c667aef55
 https://repo.anaconda.com/pkgs/main/noarch/font-ttf-ubuntu-0.83-h8b1ccd4_0.conda#a5870ffd24048c1f10af06dd5d0bbe37
 https://repo.anaconda.com/pkgs/main/linux-64/ld_impl_linux-64-2.38-h1181459_1.conda#68eedfd9c06f2b0e6888d8db345b7f5b
+https://repo.anaconda.com/pkgs/main/linux-64/libgfortran-ng-8.2.0-hdf63c60_1.conda#29c0ef7e284d741937c7c26ae3250bbd
 https://repo.anaconda.com/pkgs/main/linux-64/poppler-data-0.4.11-h06a4308_1.conda#fd6d432aa8fcef7896c9fbe683fea831
 https://repo.anaconda.com/pkgs/main/noarch/pybind11-abi-5-hd3eb1b0_0.conda#7f0df6639fdf60ccd3045ee6faedd32f
-https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-4_cp312.conda#dccc2d142812964fcc6abdc97b672dff
+https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-5_cp312.conda#0424ae29b104430108f5218a66db7260
 https://repo.anaconda.com/pkgs/main/noarch/tzdata-2024a-h04d1e81_0.conda#452af53adae0a5b06eb5d05c707b2f25
 https://repo.anaconda.com/pkgs/main/noarch/fonts-anaconda-1-h8fa9717_0.conda#a5efad43de0590ada98f8bcf02ecbfe8
-https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.1.0-h77fa898_0.conda#ae061a5ed5f05818acdf9adab72c146d
+https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.1.0-h77fa898_1.conda#23c255b008c4f2ae008f81edcabaca89
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-https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.1.0-h77fa898_0.conda#ca0fad6a41ddaef54a153b78eccb5037
-https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.23-h4ab18f5_0.conda#94d61ae2b2b701008a9d52ce6bbead27
+https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.1.0-h77fa898_1.conda#002ef4463dd1e2b44a94a4ace468f5d2
+https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.1.0-h69a702a_1.conda#1efc0ad219877a73ef977af7dbb51f17
+https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.1.0-hc5f4f2c_1.conda#10a0cef64b784d6ab6da50ebca4e984d
+https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.1.0-hc0a3c3a_1.conda#9dbb9699ea467983ba8a4ba89b08b066
+https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.27-h4bc722e_0.conda#817119e8a21a45d325f65d0d54710052
 https://repo.anaconda.com/pkgs/main/linux-64/bzip2-1.0.8-h5eee18b_6.conda#f21a3ff51c1b271977f53ce956a69297
-https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.32.2-h4bc722e_0.conda#8024af1ee7078e37fa3101c0a0296af2
+https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.33.1-heb4867d_0.conda#0d3c60291342c0c025db231353376dfb
 https://conda.anaconda.org/conda-forge/linux-64/giflib-5.2.2-hd590300_0.conda#3bf7b9fd5a7136126e0234db4b87c8b6
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@@ -29,19 +33,18 @@ https://repo.anaconda.com/pkgs/main/linux-64/libbrotlicommon-1.0.9-h5eee18b_8.co
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-https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.1.0-hc5f4f2c_0.conda#6456c2620c990cd8dde2428a27ba0bc5
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-https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.1.0-hc0a3c3a_0.conda#1cb187a157136398ddbaae90713e2498
+https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.1.0-h4852527_1.conda#bd2598399a70bb86d8218e95548d735e
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-https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h59595ed_0.conda#fcea371545eda051b6deafb24889fc69
-https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.1-h4bc722e_2.conda#e1b454497f9f7c1147fdde4b53f1b512
+https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda#70caf8bb6cf39a0b6b7efc885f51c0fe
+https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.1-hb9d3cd8_3.conda#6c566a46baae794daf34775d41eb180a
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@@ -54,12 +57,12 @@ https://repo.anaconda.com/pkgs/main/linux-64/xorg-xproto-7.0.31-h27cfd23_1007.co
 https://conda.anaconda.org/conda-forge/linux-64/xxhash-0.8.2-hd590300_0.conda#f08fb5c89edfc4aadee1c81d4cfb1fa1
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-https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.7.1-h87b94db_1.conda#2d76d2cfdcfe2d5c3883d33d8be919e7
-https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.2.18-he027950_7.conda#11e5cb0b426772974f6416545baee0ce
-https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.1.16-he027950_3.conda#adbf0c44ca88a3cded175cd809a106b6
-https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.1.18-he027950_7.conda#95611b325a9728ed68b8f7eef2dd3feb
+https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.7.4-h2abdd08_0.conda#006ee3bee3d0428e1b43b47ef1cffbc6
+https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.2.19-haa50ccc_0.conda#00c38c49d0befb632f686cf67ee8c9f5
+https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.1.19-h038f3f9_2.conda#6861cab6cddb5d713cb3db95c838d30f
+https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.1.18-h038f3f9_10.conda#4bf9c8fcf2bb6793c55e5c5758b9b011
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-https://conda.anaconda.org/conda-forge/linux-64/fmt-10.2.1-h00ab1b0_0.conda#35ef8bc24bd34074ebae3c943d551728
+https://conda.anaconda.org/conda-forge/linux-64/fmt-11.0.2-h434a139_0.conda#995f7e13598497691c1dc476d889bc04
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@@ -71,46 +74,45 @@ https://repo.anaconda.com/pkgs/main/linux-64/libbrotlienc-1.0.9-h5eee18b_8.conda
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+https://repo.anaconda.com/pkgs/main/linux-64/libopenblas-0.3.21-h043d6bf_0.conda#7f7324dcc3c4761a14f3e4ac443235a7
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 https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.17.0-pyhd8ed1ab_0.conda#160464c6f979eb68e9a9ea31dd6b5aa6
 https://conda.anaconda.org/conda-forge/noarch/geopandas-1.0.1-pyhd8ed1ab_0.conda#efef4ce75a678216d510d08222845c7f
-https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.4-pyhd8ed1ab_0.conda#28f3334e97c39de2b7ac15743b041784
+https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda#594762eddc55b82feac6097165a88e3c
diff --git a/compose/jupyter/Dockerfile b/compose/jupyter/Dockerfile
index 775adaa9..2f6e565d 100644
--- a/compose/jupyter/Dockerfile
+++ b/compose/jupyter/Dockerfile
@@ -28,7 +28,7 @@ RUN \
 USER root
 
 # build-essential is needed for pysqlite3 and gdal
-# RUN sudo apt-get update && sudo apt-get install -y build-essential
+RUN sudo apt-get update && sudo apt-get install -y build-essential
 
 # First line changes a startup hook, which will activate the custom environment
 # RUN echo conda activate "${env_name}" >> /usr/local/bin/before-notebook.d/10activate-conda-env.sh
diff --git a/conda-lock.yml b/conda-lock.yml
index 995a4601..6a74b2b9 100644
--- a/conda-lock.yml
+++ b/conda-lock.yml
@@ -15,9 +15,9 @@
 version: 1
 metadata:
   content_hash:
-    osx-arm64: 5562ebbbde26d06224cb64f7d420208fab18e9445bc7bc30a7cb3f9c5c26a2a7
-    linux-64: 2b519e031a7313cf1177defbb5591df97a746f96bfb527d745b65470b3097ab4
-    linux-aarch64: 7de86e8d53c5d2e40886c674b7867d8799c24b61cebf2e747ddd68c961de0dc9
+    osx-arm64: 9eec45e9ceaff9c69d9a3210f0d7b8e04987a55455c606e26e26b14d524cb256
+    linux-64: 4a2428c5c83e47fb6ff0683f7af0d035adbc72e34d039ee85c713a05698e94c8
+    linux-aarch64: 69749da94d7915bf4e1efe353591ad61baa58b9a07f48a3e2e7192a4cc037b07
   channels:
   - url: r
     used_env_vars: []
@@ -477,316 +477,318 @@ package:
   category: main
   optional: false
 - name: aws-c-auth
-  version: 0.7.22
+  version: 0.7.26
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    aws-c-cal: '>=0.7.1,<0.7.2.0a0'
-    aws-c-common: '>=0.9.23,<0.9.24.0a0'
-    aws-c-http: '>=0.8.2,<0.8.3.0a0'
-    aws-c-io: '>=0.14.10,<0.14.11.0a0'
-    aws-c-sdkutils: '>=0.1.16,<0.1.17.0a0'
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.7.22-hbd3ac97_10.conda
+    aws-c-cal: '>=0.7.4,<0.7.5.0a0'
+    aws-c-common: '>=0.9.27,<0.9.28.0a0'
+    aws-c-http: '>=0.8.8,<0.8.9.0a0'
+    aws-c-io: '>=0.14.18,<0.14.19.0a0'
+    aws-c-sdkutils: '>=0.1.19,<0.1.20.0a0'
+    libgcc-ng: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.7.26-hc36b679_2.conda
   hash:
-    md5: 7ca4abcc98c7521c02f4e8809bbe40df
-    sha256: c8bf9f9901a56a56b18ab044d67ecde69ee1289881267924dd81670ac34591fe
+    md5: 41bbccf460a688430fbd20a30a0af009
+    sha256: 4cdd967f0a8197991ee730fd270f8b2e12bde85b4c794e4c76039291772c3bf0
   category: main
   optional: false
 - name: aws-c-auth
-  version: 0.7.22
+  version: 0.7.26
   manager: conda
   platform: linux-aarch64
   dependencies:
-    aws-c-cal: '>=0.7.1,<0.7.2.0a0'
-    aws-c-common: '>=0.9.23,<0.9.24.0a0'
-    aws-c-http: '>=0.8.2,<0.8.3.0a0'
-    aws-c-io: '>=0.14.10,<0.14.11.0a0'
-    aws-c-sdkutils: '>=0.1.16,<0.1.17.0a0'
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/aws-c-auth-0.7.22-hf9a33fd_10.conda
+    aws-c-cal: '>=0.7.4,<0.7.5.0a0'
+    aws-c-common: '>=0.9.27,<0.9.28.0a0'
+    aws-c-http: '>=0.8.8,<0.8.9.0a0'
+    aws-c-io: '>=0.14.18,<0.14.19.0a0'
+    aws-c-sdkutils: '>=0.1.19,<0.1.20.0a0'
+    libgcc-ng: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/aws-c-auth-0.7.26-h8b3868a_2.conda
   hash:
-    md5: 62b79a7b24bc23fe55257f84ff62d2d0
-    sha256: a07a992c975f50e313304625d35304f347da859f2d76c70b054a871eb3bd8fa4
+    md5: 3cbbe0605696ac7525de139ac6a8b787
+    sha256: 09986c94e5f45128f63a9bfebd64a9c8b49285515e22877edbbbb035b3cbf215
   category: main
   optional: false
 - name: aws-c-auth
-  version: 0.7.22
+  version: 0.7.26
   manager: conda
   platform: osx-arm64
   dependencies:
     __osx: '>=11.0'
-    aws-c-cal: '>=0.7.1,<0.7.2.0a0'
-    aws-c-common: '>=0.9.23,<0.9.24.0a0'
-    aws-c-http: '>=0.8.2,<0.8.3.0a0'
-    aws-c-io: '>=0.14.10,<0.14.11.0a0'
-    aws-c-sdkutils: '>=0.1.16,<0.1.17.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-auth-0.7.22-h8a62e84_10.conda
+    aws-c-cal: '>=0.7.4,<0.7.5.0a0'
+    aws-c-common: '>=0.9.27,<0.9.28.0a0'
+    aws-c-http: '>=0.8.8,<0.8.9.0a0'
+    aws-c-io: '>=0.14.18,<0.14.19.0a0'
+    aws-c-sdkutils: '>=0.1.19,<0.1.20.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-auth-0.7.26-h1e647a1_2.conda
   hash:
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-    sha256: 933c77d0c6eb77bc99b2184f3332b8254f3d82624627bdce9885aa7a32186b48
+    md5: f7d87b7031e363cf10cf244c03614ef2
+    sha256: 71bc3b9f4e2267f06b84ffa7aae1d234b8729aeda25b5e0eed1c077a6edfc218
   category: main
   optional: false
 - name: aws-c-cal
-  version: 0.7.1
+  version: 0.7.4
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    aws-c-common: '>=0.9.23,<0.9.24.0a0'
-    libgcc-ng: '>=12'
+    aws-c-common: '>=0.9.27,<0.9.28.0a0'
+    libgcc-ng: '>=13'
     openssl: '>=3.3.1,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.7.1-h87b94db_1.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.7.4-h2abdd08_0.conda
   hash:
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-    sha256: f445f38a4170f0ae02cdf13e1bc23cbb826a4b45f39402f02fe5737b0a8ed3a9
+    md5: 006ee3bee3d0428e1b43b47ef1cffbc6
+    sha256: 7f8d27167ca67a3bdf8ab2de9f5c17c88d85a02c1f14485f67857ab745a18d95
   category: main
   optional: false
 - name: aws-c-cal
-  version: 0.7.1
+  version: 0.7.4
   manager: conda
   platform: linux-aarch64
   dependencies:
-    aws-c-common: '>=0.9.23,<0.9.24.0a0'
-    libgcc-ng: '>=12'
+    aws-c-common: '>=0.9.27,<0.9.28.0a0'
+    libgcc-ng: '>=13'
     openssl: '>=3.3.1,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/aws-c-cal-0.7.1-h1194e0d_1.conda
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/aws-c-cal-0.7.4-h90eab9b_0.conda
   hash:
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-    sha256: 2b20411297c770100265ab55be2ac6973f26d3deb1a2af9e8779d561c9be01d0
+    md5: ded013e814779cfacdb85c3585eeb6b4
+    sha256: 16a4dafc8fb11a21656c5f56455926cfcdada0af18400bddad842a081d16048d
   category: main
   optional: false
 - name: aws-c-cal
-  version: 0.7.1
+  version: 0.7.4
   manager: conda
   platform: osx-arm64
   dependencies:
     __osx: '>=11.0'
-    aws-c-common: '>=0.9.23,<0.9.24.0a0'
+    aws-c-common: '>=0.9.27,<0.9.28.0a0'
     openssl: '>=3.3.1,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-cal-0.7.1-h94d0942_1.conda
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-cal-0.7.4-h41e72e7_0.conda
   hash:
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+    md5: e48f1946d72265f688574057ce762ee8
+    sha256: 511af4c04a13ca96b22f870364699619223727604ff696e669cda4eaeab95b4c
   category: main
   optional: false
 - name: aws-c-common
-  version: 0.9.23
+  version: 0.9.27
   manager: conda
   platform: linux-64
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+    __glibc: '>=2.17,<3.0.a0'
     libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.23-h4ab18f5_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.27-h4bc722e_0.conda
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   optional: false
 - name: aws-c-common
-  version: 0.9.23
+  version: 0.9.27
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     libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/aws-c-common-0.9.23-h68df207_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/aws-c-common-0.9.27-h68df207_0.conda
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   optional: false
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-common-0.9.23-h99b78c6_0.conda
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-common-0.9.27-h99b78c6_0.conda
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   category: main
   optional: false
 - name: aws-c-compression
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+  version: 0.2.19
   manager: conda
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   dependencies:
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-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.2.18-he027950_7.conda
+    __glibc: '>=2.17,<3.0.a0'
+    aws-c-common: '>=0.9.27,<0.9.28.0a0'
+    libgcc-ng: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.2.19-haa50ccc_0.conda
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+    sha256: d7cca92ff47e5de9e53ce6ea90186d578883b35d4c665b166ada2754d7786d05
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   optional: false
 - name: aws-c-compression
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+  version: 0.2.19
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   platform: linux-aarch64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/aws-c-compression-0.2.18-h3ff8e8a_7.conda
+    aws-c-common: '>=0.9.27,<0.9.28.0a0'
+    libgcc-ng: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/aws-c-compression-0.2.19-h6cafaa5_0.conda
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   optional: false
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+    aws-c-common: '>=0.9.27,<0.9.28.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-compression-0.2.19-h41e72e7_0.conda
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   optional: false
 - name: aws-c-event-stream
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+  version: 0.4.3
   manager: conda
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   dependencies:
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+    aws-c-common: '>=0.9.27,<0.9.28.0a0'
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     libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-event-stream-0.4.2-h7671281_15.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-event-stream-0.4.3-h570d160_0.conda
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+    md5: 1c121949295cac86798be8f369768d7c
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   optional: false
 - name: aws-c-event-stream
-  version: 0.4.2
+  version: 0.4.3
   manager: conda
   platform: linux-aarch64
   dependencies:
-    aws-c-common: '>=0.9.23,<0.9.24.0a0'
-    aws-c-io: '>=0.14.10,<0.14.11.0a0'
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+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/aws-c-event-stream-0.4.3-h3cf9a1f_0.conda
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   category: main
   optional: false
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-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-http-0.8.2-he17ee6b_6.conda
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+    aws-c-io: '>=0.14.18,<0.14.19.0a0'
+    libgcc-ng: '>=13'
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@@ -4412,15 +4423,17 @@ package:
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+  url: https://conda.anaconda.org/conda-forge/noarch/unearth-0.17.2-pyhd8ed1ab_0.conda
   hash:
-    md5: 7c9b2ea6bbf1fa0018c808763d11721b
-    sha256: 7701c9999e313089c2f34d3a6200115e3956462cd4571bcd0423f19deb6e3276
+    md5: 6ad8b4b640a6a87993639ca084ced8b2
+    sha256: baff83d25b9b06e2773eea0424138a0c46ccef971ef2747464bf9645ce2ef2e1
   category: main
   optional: false
 - name: unicodedata2
@@ -15046,7 +15125,7 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    numpy: '>=1.21'
+    numpy: '>=1.21,<2.0a0'
     packaging: '>=21.3'
     pandas: '>=1.4'
     python: '>=3.12,<3.13.0a0'
@@ -15061,7 +15140,7 @@ package:
   manager: conda
   platform: linux-aarch64
   dependencies:
-    numpy: '>=1.21'
+    numpy: '>=1.21,<2.0a0'
     packaging: '>=21.3'
     pandas: '>=1.4'
     python: '>=3.12,<3.13.0a0'
@@ -15076,7 +15155,7 @@ package:
   manager: conda
   platform: osx-arm64
   dependencies:
-    numpy: '>=1.21'
+    numpy: '>=1.21,<2.0a0'
     packaging: '>=21.3'
     pandas: '>=1.4'
     python: '>=3.12,<3.13.0a0'
@@ -15704,14 +15783,14 @@ package:
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
     cffi: '>=1.11'
-    libgcc-ng: '>=12'
+    libgcc: '>=13'
     python: '>=3.12,<3.13.0a0'
     python_abi: 3.12.*
     zstd: '>=1.5.6,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312h3483029_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312hef9b889_1.conda
   hash:
-    md5: eab52e88c858d87cf5a069f79d10bb50
-    sha256: 7e1e105ea7eab2af591faebf743ff2493f53c313079e316419577925e4492b03
+    md5: 8b7069e9792ee4e5b4919a7a306d2e67
+    sha256: b97015e146437283f2213ff0e95abdc8e2480150634d81fbae6b96ee09f5e50b
   category: main
   optional: false
 - name: zstandard
@@ -15720,14 +15799,14 @@ package:
   platform: linux-aarch64
   dependencies:
     cffi: '>=1.11'
-    libgcc-ng: '>=12'
+    libgcc: '>=13'
     python: '>=3.12,<3.13.0a0'
     python_abi: 3.12.*
     zstd: '>=1.5.6,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/zstandard-0.23.0-py312h9fc3309_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/zstandard-0.23.0-py312hb698573_1.conda
   hash:
-    md5: 1903935398241d9772c260a4d0ee5bc3
-    sha256: 65c201c2f3e120c57e2c2eae8fb30254fbe249adb2df0a3073ce4b30fd3004ca
+    md5: ffcb8e97e62af42075e0e5f46bb9856e
+    sha256: 2681c2a249752bdc7978e59ee2f34fcdfcbfda80029b84b8e5fec8dbc9e3af25
   category: main
   optional: false
 - name: zstandard
@@ -15740,10 +15819,10 @@ package:
     python: '>=3.12,<3.13.0a0'
     python_abi: 3.12.*
     zstd: '>=1.5.6,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py312h721a963_0.conda
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py312h15fbf35_1.conda
   hash:
-    md5: caf7f5b85615a132c0fa586b82bd59e6
-    sha256: 6fc0d2f7a0a49a7c1453bb9eacd5456214b6cf000760067d72f0cce464975fa1
+    md5: a4cde595509a7ad9c13b1a3809bcfe51
+    sha256: d00ca25c1e28fd31199b26a94f8c96574475704a825d244d7a6351ad3745eeeb
   category: main
   optional: false
 - name: zstd
diff --git a/python/pdm.lock b/python/pdm.lock
index a6973901..3e3e17d2 100644
--- a/python/pdm.lock
+++ b/python/pdm.lock
@@ -5,10 +5,13 @@
 groups = ["default", "dev"]
 strategy = ["inherit_metadata"]
 lock_version = "4.5.0"
-content_hash = "sha256:7c3054f2a787c280df57211415a3aa43486b31fc48359d47e9d9b3e9ac27c10f"
+content_hash = "sha256:a791bb55d90fb8dcbba5e8c629aafba2f6010acb5d675f791bf23b218f1e9a19"
 
 [[metadata.targets]]
-requires_python = "==3.12.*"
+requires_python = "==3.12.4"
+platform = "manylinux_2_39_aarch64"
+implementation = "cpython"
+gil_disabled = false
 
 [[package]]
 name = "affine"
@@ -16,6 +19,7 @@ version = "2.4.0"
 requires_python = ">=3.7"
 summary = "Matrices describing affine transformation of the plane"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "affine-2.4.0-py3-none-any.whl", hash = "sha256:8a3df80e2b2378aef598a83c1392efd47967afec4242021a0b06b4c7cbc61a92"},
     {file = "affine-2.4.0.tar.gz", hash = "sha256:a24d818d6a836c131976d22f8c27b8d3ca32d0af64c1d8d29deb7bafa4da1eea"},
@@ -27,6 +31,7 @@ version = "0.7.0"
 requires_python = ">=3.8"
 summary = "Reusable constraint types to use with typing.Annotated"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "typing-extensions>=4.0.0; python_version < \"3.9\"",
 ]
@@ -41,6 +46,7 @@ version = "4.4.0"
 requires_python = ">=3.8"
 summary = "High level compatibility layer for multiple asynchronous event loop implementations"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "exceptiongroup>=1.0.2; python_version < \"3.11\"",
     "idna>=2.8",
@@ -57,29 +63,19 @@ name = "appdirs"
 version = "1.4.4"
 summary = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
 ]
 
-[[package]]
-name = "appnope"
-version = "0.1.4"
-requires_python = ">=3.6"
-summary = "Disable App Nap on macOS >= 10.9"
-groups = ["default"]
-marker = "platform_system == \"Darwin\""
-files = [
-    {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
-    {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
-]
-
 [[package]]
 name = "argon2-cffi"
 version = "23.1.0"
 requires_python = ">=3.7"
 summary = "Argon2 for Python"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "argon2-cffi-bindings",
     "typing-extensions; python_version < \"3.8\"",
@@ -95,6 +91,7 @@ version = "21.2.0"
 requires_python = ">=3.6"
 summary = "Low-level CFFI bindings for Argon2"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "cffi>=1.0.1",
 ]
@@ -128,6 +125,7 @@ version = "1.3.0"
 requires_python = ">=3.8"
 summary = "Better dates & times for Python"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "python-dateutil>=2.7.0",
     "types-python-dateutil>=2.8.10",
@@ -142,6 +140,7 @@ name = "asttokens"
 version = "2.4.1"
 summary = "Annotate AST trees with source code positions"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "six>=1.12.0",
     "typing; python_version < \"3.5\"",
@@ -157,6 +156,7 @@ version = "2.0.4"
 requires_python = ">=3.8"
 summary = "Simple LRU cache for asyncio"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "typing-extensions>=4.0.0; python_version < \"3.11\"",
 ]
@@ -171,6 +171,7 @@ version = "23.2.0"
 requires_python = ">=3.7"
 summary = "Classes Without Boilerplate"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "importlib-metadata; python_version < \"3.8\"",
 ]
@@ -185,6 +186,7 @@ version = "2.15.0"
 requires_python = ">=3.8"
 summary = "Internationalization utilities"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "pytz>=2015.7; python_version < \"3.9\"",
 ]
@@ -199,6 +201,7 @@ version = "0.18.5"
 requires_python = ">=3.8.0"
 summary = "Unbearably fast runtime type checking in pure Python."
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "beartype-0.18.5-py3-none-any.whl", hash = "sha256:5301a14f2a9a5540fe47ec6d34d758e9cd8331d36c4760fc7a5499ab86310089"},
     {file = "beartype-0.18.5.tar.gz", hash = "sha256:264ddc2f1da9ec94ff639141fbe33d22e12a9f75aa863b83b7046ffff1381927"},
@@ -210,6 +213,7 @@ version = "4.12.3"
 requires_python = ">=3.6.0"
 summary = "Screen-scraping library"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "soupsieve>1.2",
 ]
@@ -224,6 +228,7 @@ version = "6.1.0"
 requires_python = ">=3.8"
 summary = "An easy safelist-based HTML-sanitizing tool."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "six>=1.9.0",
     "webencodings",
@@ -239,6 +244,7 @@ version = "1.8.2"
 requires_python = ">=3.8"
 summary = "Fast, simple object-to-object and broadcast signaling"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "blinker-1.8.2-py3-none-any.whl", hash = "sha256:1779309f71bf239144b9399d06ae925637cf6634cf6bd131104184531bf67c01"},
     {file = "blinker-1.8.2.tar.gz", hash = "sha256:8f77b09d3bf7c795e969e9486f39c2c5e9c39d4ee07424be2bc594ece9642d83"},
@@ -250,6 +256,7 @@ version = "0.14.0"
 requires_python = ">=3.7"
 summary = "httplib2 caching for requests"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "msgpack<2.0.0,>=0.5.2",
     "requests>=2.16.0",
@@ -266,6 +273,7 @@ extras = ["filecache"]
 requires_python = ">=3.7"
 summary = "httplib2 caching for requests"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "cachecontrol==0.14.0",
     "filelock>=3.8.0",
@@ -281,6 +289,7 @@ version = "0.3.0"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 summary = "Cachy provides a simple yet effective caching library."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "cachy-0.3.0-py2.py3-none-any.whl", hash = "sha256:338ca09c8860e76b275aff52374330efedc4d5a5e45dc1c5b539c1ead0786fe7"},
     {file = "cachy-0.3.0.tar.gz", hash = "sha256:186581f4ceb42a0bbe040c407da73c14092379b1e4c0e327fdb72ae4a9b269b1"},
@@ -292,6 +301,7 @@ version = "2024.7.4"
 requires_python = ">=3.6"
 summary = "Python package for providing Mozilla's CA Bundle."
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
     {file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
@@ -303,6 +313,7 @@ version = "1.16.0"
 requires_python = ">=3.8"
 summary = "Foreign Function Interface for Python calling C code."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "pycparser",
 ]
@@ -326,6 +337,7 @@ version = "3.4.0"
 requires_python = ">=3.8"
 summary = "Validate configuration and produce human readable error messages."
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
     {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
@@ -337,6 +349,7 @@ version = "1.6.4"
 requires_python = ">=3.8"
 summary = "Time-handling functionality from netcdf4-python"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "numpy>1.13.3; python_version < \"3.12.0.rc1\"",
     "numpy>=1.26.0b1; python_version >= \"3.12.0.rc1\"",
@@ -357,6 +370,7 @@ version = "3.3.2"
 requires_python = ">=3.7.0"
 summary = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
     {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"},
@@ -383,6 +397,7 @@ version = "8.1.7"
 requires_python = ">=3.7"
 summary = "Composable command line interface toolkit"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "colorama; platform_system == \"Windows\"",
     "importlib-metadata; python_version < \"3.8\"",
@@ -398,6 +413,7 @@ version = "1.2.4"
 requires_python = ">=2.7"
 summary = "click_default_group"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "click",
 ]
@@ -411,6 +427,7 @@ name = "click-plugins"
 version = "1.1.1"
 summary = "An extension module for click to enable registering CLI commands via setuptools entry-points."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "click>=4.0",
 ]
@@ -425,6 +442,7 @@ version = "0.7.2"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, <4"
 summary = "Click params for commmand line interfaces to GeoJSON"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "click>=4.0",
 ]
@@ -439,6 +457,7 @@ version = "0.6.2"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 summary = "CliKit is a group of utilities to build beautiful and testable command line interfaces."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "crashtest<0.4.0,>=0.3.0; python_version ~= \"3.6\"",
     "enum34<2.0,>=1.1; python_version >= \"2.7\" and python_version < \"2.8\"",
@@ -457,7 +476,8 @@ name = "colorama"
 version = "0.4.6"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 summary = "Cross-platform colored terminal text."
-groups = ["default", "dev"]
+groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -469,6 +489,7 @@ version = "0.2.2"
 requires_python = ">=3.8"
 summary = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "traitlets>=4",
 ]
@@ -483,6 +504,7 @@ version = "2.5.7"
 requires_python = ">=3.8"
 summary = "Lockfiles for conda"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "cachecontrol[filecache]>=0.12.9",
     "cachy>=0.3.0",
@@ -520,6 +542,7 @@ version = "1.2.1"
 requires_python = ">=3.9"
 summary = "Python library for calculating contours of 2D quadrilateral grids"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "numpy>=1.20",
 ]
@@ -546,6 +569,7 @@ version = "7.6.0"
 requires_python = ">=3.8"
 summary = "Code coverage measurement for Python"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "coverage-7.6.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f7db0b6ae1f96ae41afe626095149ecd1b212b424626175a6633c2999eaad45b"},
     {file = "coverage-7.6.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:bbdf9a72403110a3bdae77948b8011f644571311c2fb35ee15f0f10a8fc082e8"},
@@ -563,15 +587,17 @@ files = [
 
 [[package]]
 name = "coverage-badge"
-version = "1.1.1"
+version = "1.1.2"
 summary = "Generate coverage badges for Coverage.py."
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "coverage",
+    "setuptools",
 ]
 files = [
-    {file = "coverage-badge-1.1.1.tar.gz", hash = "sha256:42252df917404af6147380861228a4ace3d9a29804df8fc2d34a22b2bc4f45b6"},
-    {file = "coverage_badge-1.1.1-py2.py3-none-any.whl", hash = "sha256:1d8e566ad47c37910fa2bbc74ea19972b171b5b4e40624b31b3e2f2d93680266"},
+    {file = "coverage_badge-1.1.2-py2.py3-none-any.whl", hash = "sha256:d8413ce51c91043a1692b943616b450868cbeeb0ea6a0c54a32f8318c9c96ff7"},
+    {file = "coverage_badge-1.1.2.tar.gz", hash = "sha256:fe7ed58a3b72dad85a553b64a99e963dea3847dcd0b8ddd2b38a00333618642c"},
 ]
 
 [[package]]
@@ -581,6 +607,7 @@ extras = ["toml"]
 requires_python = ">=3.8"
 summary = "Code coverage measurement for Python"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "coverage==7.6.0",
     "tomli; python_full_version <= \"3.11.0a6\"",
@@ -606,6 +633,7 @@ version = "0.3.1"
 requires_python = ">=3.6,<4.0"
 summary = "Manage Python errors with ease"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "crashtest-0.3.1-py3-none-any.whl", hash = "sha256:300f4b0825f57688b47b6d70c6a31de33512eb2fa1ac614f780939aa0cf91680"},
     {file = "crashtest-0.3.1.tar.gz", hash = "sha256:42ca7b6ce88b6c7433e2ce47ea884e91ec93104a4b754998be498a8e6c3d37dd"},
@@ -617,37 +645,15 @@ version = "43.0.0"
 requires_python = ">=3.7"
 summary = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 groups = ["default"]
-marker = "sys_platform == \"linux\""
+marker = "sys_platform == \"linux\" and python_full_version == \"3.12.4\""
 dependencies = [
     "cffi>=1.12; platform_python_implementation != \"PyPy\"",
 ]
 files = [
-    {file = "cryptography-43.0.0-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:64c3f16e2a4fc51c0d06af28441881f98c5d91009b8caaff40cf3548089e9c74"},
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 ]
 
@@ -657,6 +663,7 @@ version = "0.12.1"
 requires_python = ">=3.8"
 summary = "Composable style cycles"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
     {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -668,6 +675,7 @@ version = "1.8.2"
 requires_python = ">=3.8"
 summary = "An implementation of the Debug Adapter Protocol for Python"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "debugpy-1.8.2-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:5d3ccd39e4021f2eb86b8d748a96c766058b39443c1f18b2dc52c10ac2757835"},
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@@ -683,6 +691,7 @@ version = "5.1.1"
 requires_python = ">=3.5"
 summary = "Decorators for Humans"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
@@ -694,6 +703,7 @@ version = "0.7.1"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 summary = "XML bomb protection for Python stdlib modules"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
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@@ -701,16 +711,17 @@ files = [
 
 [[package]]
 name = "dep-logic"
-version = "0.4.3"
+version = "0.4.4"
 requires_python = ">=3.8"
 summary = "Python dependency specifications supporting logical operations"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "packaging>=22",
 ]
 files = [
-    {file = "dep_logic-0.4.3-py3-none-any.whl", hash = "sha256:03f2740fc40e2848f2a4c77baddcc8f5e3773c304da947815306d1e616f3942c"},
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+    {file = "dep_logic-0.4.4-py3-none-any.whl", hash = "sha256:3f47301f9a8230443d3df7d7f9bdc33d35d8591a14112d36f221b0e33810d3ae"},
+    {file = "dep_logic-0.4.4.tar.gz", hash = "sha256:e716afdda9351107c54ef4f6fd3fd29568f53529afb333b4958183b9d306e44a"},
 ]
 
 [[package]]
@@ -719,6 +730,7 @@ version = "0.3.8"
 requires_python = ">=3.8"
 summary = "serialize all of Python"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
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@@ -729,6 +741,7 @@ name = "distlib"
 version = "0.3.8"
 summary = "Distribution utilities"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
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@@ -740,6 +753,7 @@ version = "1.4.4"
 requires_python = ">=3.7"
 summary = "Lightweight bootstrapper for a conda executable"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "appdirs",
     "click>=5.1",
@@ -758,6 +772,7 @@ version = "1.1.0"
 requires_python = ">=3.6"
 summary = "An implementation of lxml.xmlfile for the standard library"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "et_xmlfile-1.1.0-py3-none-any.whl", hash = "sha256:a2ba85d1d6a74ef63837eed693bcb89c3f752169b0e3e7ae5b16ca5e1b3deada"},
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@@ -769,6 +784,7 @@ version = "2.1.1"
 requires_python = ">=3.8"
 summary = "execnet: rapid multi-Python deployment"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "execnet-2.1.1-py3-none-any.whl", hash = "sha256:26dee51f1b80cebd6d0ca8e74dd8745419761d3bef34163928cbebbdc4749fdc"},
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@@ -780,6 +796,7 @@ version = "2.0.1"
 requires_python = ">=3.5"
 summary = "Get the currently executing AST node of a frame, and other information"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "executing-2.0.1-py2.py3-none-any.whl", hash = "sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc"},
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@@ -790,6 +807,7 @@ name = "fastjsonschema"
 version = "2.20.0"
 summary = "Fastest Python implementation of JSON schema"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "fastjsonschema-2.20.0-py3-none-any.whl", hash = "sha256:5875f0b0fa7a0043a91e93a9b8f793bcbbba9691e7fd83dca95c28ba26d21f0a"},
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@@ -801,6 +819,7 @@ version = "3.15.4"
 requires_python = ">=3.8"
 summary = "A platform independent file lock."
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "filelock-3.15.4-py3-none-any.whl", hash = "sha256:6ca1fffae96225dab4c6eaf1c4f4f28cd2568d3ec2a44e15a08520504de468e7"},
     {file = "filelock-3.15.4.tar.gz", hash = "sha256:2207938cbc1844345cb01a5a95524dae30f0ce089eba5b00378295a17e3e90cb"},
@@ -812,6 +831,7 @@ version = "0.6.1"
 requires_python = ">=3.8"
 summary = "A utility to find python versions on your system"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "packaging>=20",
 ]
@@ -826,6 +846,7 @@ version = "4.53.1"
 requires_python = ">=3.8"
 summary = "Tools to manipulate font files"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "fonttools-4.53.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:d92d3c2a1b39631a6131c2fa25b5406855f97969b068e7e08413325bc0afba58"},
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@@ -845,6 +866,7 @@ version = "1.5.1"
 requires_python = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
 summary = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "cached-property>=1.3.0; python_version < \"3.8\"",
 ]
@@ -859,6 +881,7 @@ version = "3.8.5"
 requires_python = ">=3.6.0"
 summary = "GDAL: Geospatial Data Abstraction Library"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "GDAL-3.8.5.tar.gz", hash = "sha256:ad8addd58ba9c62aefc7f65d345c168736798f137e5c8f247af76fcf4862d371"},
 ]
@@ -869,6 +892,7 @@ version = "1.0.1"
 requires_python = ">=3.9"
 summary = "Geographic pandas extensions"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "numpy>=1.22",
     "packaging",
@@ -888,6 +912,7 @@ version = "4.0.11"
 requires_python = ">=3.7"
 summary = "Git Object Database"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "smmap<6,>=3.0.1",
 ]
@@ -902,6 +927,7 @@ version = "3.1.43"
 requires_python = ">=3.7"
 summary = "GitPython is a Python library used to interact with Git repositories"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "gitdb<5,>=4.0.1",
     "typing-extensions>=3.7.4.3; python_version < \"3.8\"",
@@ -917,6 +943,7 @@ version = "0.48.0"
 requires_python = ">=3.8"
 summary = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "astunparse>=1.6; python_version < \"3.9\"",
     "backports-strenum>=1.3; python_version < \"3.11\"",
@@ -933,6 +960,7 @@ version = "0.14.0"
 requires_python = ">=3.7"
 summary = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "typing-extensions; python_version < \"3.8\"",
 ]
@@ -947,6 +975,7 @@ version = "0.0.30"
 requires_python = ">=3.8"
 summary = "Persistent cache implementation for httpx and httpcore"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "httpx>=0.22.0",
     "typing-extensions>=4.8.0",
@@ -962,6 +991,7 @@ version = "1.1"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 summary = "HTML parser based on the WHATWG HTML specification"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "six>=1.9",
     "webencodings",
@@ -977,6 +1007,7 @@ version = "1.0.5"
 requires_python = ">=3.8"
 summary = "A minimal low-level HTTP client."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "certifi",
     "h11<0.15,>=0.13",
@@ -992,6 +1023,7 @@ version = "0.27.0"
 requires_python = ">=3.8"
 summary = "The next generation HTTP client."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "anyio",
     "certifi",
@@ -1011,6 +1043,7 @@ extras = ["socks"]
 requires_python = ">=3.8"
 summary = "The next generation HTTP client."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "httpx==0.27.0",
     "socksio==1.*",
@@ -1026,6 +1059,7 @@ version = "2.6.0"
 requires_python = ">=3.8"
 summary = "File identification library for Python"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "identify-2.6.0-py2.py3-none-any.whl", hash = "sha256:e79ae4406387a9d300332b5fd366d8994f1525e8414984e1a59e058b2eda2dd0"},
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@@ -1037,6 +1071,7 @@ version = "3.7"
 requires_python = ">=3.5"
 summary = "Internationalized Domain Names in Applications (IDNA)"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"},
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@@ -1048,6 +1083,7 @@ version = "8.0.0"
 requires_python = ">=3.8"
 summary = "Read metadata from Python packages"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "typing-extensions>=3.6.4; python_version < \"3.8\"",
     "zipp>=0.5",
@@ -1063,6 +1099,7 @@ version = "6.4.0"
 requires_python = ">=3.8"
 summary = "Read resources from Python packages"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "zipp>=3.1.0; python_version < \"3.10\"",
 ]
@@ -1077,6 +1114,7 @@ version = "2.0.0"
 requires_python = ">=3.7"
 summary = "brain-dead simple config-ini parsing"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
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@@ -1088,6 +1126,7 @@ version = "0.7.0"
 requires_python = ">=3.7"
 summary = "A library for installing Python wheels."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "installer-0.7.0-py3-none-any.whl", hash = "sha256:05d1933f0a5ba7d8d6296bb6d5018e7c94fa473ceb10cf198a92ccea19c27b53"},
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@@ -1099,6 +1138,7 @@ version = "6.29.5"
 requires_python = ">=3.8"
 summary = "IPython Kernel for Jupyter"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "appnope; platform_system == \"Darwin\"",
     "comm>=0.1.1",
@@ -1125,6 +1165,7 @@ version = "8.26.0"
 requires_python = ">=3.10"
 summary = "IPython: Productive Interactive Computing"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "colorama; sys_platform == \"win32\"",
     "decorator",
@@ -1149,6 +1190,7 @@ version = "20.11.0"
 requires_python = ">=3.7"
 summary = "Operations with ISO 8601 durations"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "arrow>=0.15.0",
 ]
@@ -1163,6 +1205,7 @@ version = "3.4.0"
 requires_python = ">=3.8"
 summary = "Utility functions for Python class constructs"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "more-itertools",
 ]
@@ -1177,6 +1220,7 @@ version = "5.3.0"
 requires_python = ">=3.8"
 summary = "Useful decorators and context managers"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "backports-tarfile; python_version < \"3.12\"",
 ]
@@ -1191,6 +1235,7 @@ version = "4.0.1"
 requires_python = ">=3.8"
 summary = "Functools like those found in stdlib"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "more-itertools",
 ]
@@ -1205,6 +1250,7 @@ version = "0.19.1"
 requires_python = ">=3.6"
 summary = "An autocompletion tool for Python that can be used for text editors."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "parso<0.9.0,>=0.8.3",
 ]
@@ -1219,7 +1265,7 @@ version = "0.8.0"
 requires_python = ">=3.7"
 summary = "Low-level, pure Python DBus protocol wrapper."
 groups = ["default"]
-marker = "sys_platform == \"linux\""
+marker = "sys_platform == \"linux\" and python_full_version == \"3.12.4\""
 files = [
     {file = "jeepney-0.8.0-py3-none-any.whl", hash = "sha256:c0a454ad016ca575060802ee4d590dd912e35c122fa04e70306de3d076cce755"},
     {file = "jeepney-0.8.0.tar.gz", hash = "sha256:5efe48d255973902f6badc3ce55e2aa6c5c3b3bc642059ef3a91247bcfcc5806"},
@@ -1231,6 +1277,7 @@ version = "3.1.4"
 requires_python = ">=3.7"
 summary = "A very fast and expressive template engine."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "MarkupSafe>=2.0",
 ]
@@ -1245,6 +1292,7 @@ version = "0.9.25"
 requires_python = ">=3.8"
 summary = "A Python implementation of the JSON5 data format."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "json5-0.9.25-py3-none-any.whl", hash = "sha256:34ed7d834b1341a86987ed52f3f76cd8ee184394906b6e22a1e0deb9ab294e8f"},
     {file = "json5-0.9.25.tar.gz", hash = "sha256:548e41b9be043f9426776f05df8635a00fe06104ea51ed24b67f908856e151ae"},
@@ -1256,6 +1304,7 @@ version = "3.0.0"
 requires_python = ">=3.7"
 summary = "Identify specific nodes in a JSON document (RFC 6901) "
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
@@ -1267,6 +1316,7 @@ version = "4.23.0"
 requires_python = ">=3.8"
 summary = "An implementation of JSON Schema validation for Python"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "attrs>=22.2.0",
     "importlib-resources>=1.4.0; python_version < \"3.9\"",
@@ -1286,6 +1336,7 @@ version = "2023.12.1"
 requires_python = ">=3.8"
 summary = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "importlib-resources>=1.4.0; python_version < \"3.9\"",
     "referencing>=0.31.0",
@@ -1302,6 +1353,7 @@ extras = ["format-nongpl"]
 requires_python = ">=3.8"
 summary = "An implementation of JSON Schema validation for Python"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "fqdn",
     "idna",
@@ -1324,6 +1376,7 @@ version = "8.6.2"
 requires_python = ">=3.8"
 summary = "Jupyter protocol implementation and client libraries"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "importlib-metadata>=4.8.3; python_version < \"3.10\"",
     "jupyter-core!=5.0.*,>=4.12",
@@ -1343,6 +1396,7 @@ version = "5.7.2"
 requires_python = ">=3.8"
 summary = "Jupyter core package. A base package on which Jupyter projects rely."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "platformdirs>=2.5",
     "pywin32>=300; sys_platform == \"win32\" and platform_python_implementation != \"PyPy\"",
@@ -1359,6 +1413,7 @@ version = "0.10.0"
 requires_python = ">=3.8"
 summary = "Jupyter Event System library"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "jsonschema[format-nongpl]>=4.18.0",
     "python-json-logger>=2.0.4",
@@ -1379,6 +1434,7 @@ version = "2.2.5"
 requires_python = ">=3.8"
 summary = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "importlib-metadata>=4.8.3; python_version < \"3.10\"",
     "jupyter-server>=1.1.2",
@@ -1394,6 +1450,7 @@ version = "2.14.2"
 requires_python = ">=3.8"
 summary = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "anyio>=3.1.0",
     "argon2-cffi>=21.1",
@@ -1426,6 +1483,7 @@ version = "0.5.3"
 requires_python = ">=3.8"
 summary = "A Jupyter Server Extension Providing Terminals."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "pywinpty>=2.0.3; os_name == \"nt\"",
     "terminado>=0.8.3",
@@ -1437,10 +1495,11 @@ files = [
 
 [[package]]
 name = "jupyterlab"
-version = "4.2.4"
+version = "4.2.5"
 requires_python = ">=3.8"
 summary = "JupyterLab computational environment"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "async-lru>=1.0.0",
     "httpx>=0.25.0",
@@ -1460,8 +1519,8 @@ dependencies = [
     "traitlets",
 ]
 files = [
-    {file = "jupyterlab-4.2.4-py3-none-any.whl", hash = "sha256:807a7ec73637744f879e112060d4b9d9ebe028033b7a429b2d1f4fc523d00245"},
-    {file = "jupyterlab-4.2.4.tar.gz", hash = "sha256:343a979fb9582fd08c8511823e320703281cd072a0049bcdafdc7afeda7f2537"},
+    {file = "jupyterlab-4.2.5-py3-none-any.whl", hash = "sha256:73b6e0775d41a9fee7ee756c80f58a6bed4040869ccc21411dc559818874d321"},
+    {file = "jupyterlab-4.2.5.tar.gz", hash = "sha256:ae7f3a1b8cb88b4f55009ce79fa7c06f99d70cd63601ee4aa91815d054f46f75"},
 ]
 
 [[package]]
@@ -1470,6 +1529,7 @@ version = "0.3.0"
 requires_python = ">=3.8"
 summary = "Pygments theme using JupyterLab CSS variables"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"},
     {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"},
@@ -1481,6 +1541,7 @@ version = "2.27.3"
 requires_python = ">=3.8"
 summary = "A set of server components for JupyterLab and JupyterLab like applications."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "babel>=2.10",
     "importlib-metadata>=4.8.3; python_version < \"3.10\"",
@@ -1502,6 +1563,7 @@ version = "25.2.1"
 requires_python = ">=3.8"
 summary = "Store and access your passwords safely."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "SecretStorage>=3.2; sys_platform == \"linux\"",
     "importlib-metadata>=4.11.4; python_version < \"3.12\"",
@@ -1523,6 +1585,7 @@ version = "1.4.5"
 requires_python = ">=3.7"
 summary = "A fast implementation of the Cassowary constraint solver"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "typing-extensions; python_version < \"3.8\"",
 ]
@@ -1566,6 +1629,7 @@ version = "3.0.0"
 requires_python = ">=3.8"
 summary = "Python port of markdown-it. Markdown parsing, done right!"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "mdurl~=0.1",
 ]
@@ -1580,6 +1644,7 @@ version = "2.1.5"
 requires_python = ">=3.7"
 summary = "Safely add untrusted strings to HTML/XML markup."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:8dec4936e9c3100156f8a2dc89c4b88d5c435175ff03413b443469c7c8c5f4d1"},
     {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3c6b973f22eb18a789b1460b4b91bf04ae3f0c4234a0a6aa6b0a92f6f7b951d4"},
@@ -1596,34 +1661,26 @@ files = [
 
 [[package]]
 name = "matplotlib"
-version = "3.9.1"
+version = "3.8.4"
 requires_python = ">=3.9"
 summary = "Python plotting package"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "contourpy>=1.0.1",
     "cycler>=0.10",
     "fonttools>=4.22.0",
     "importlib-resources>=3.2.0; python_version < \"3.10\"",
     "kiwisolver>=1.3.1",
-    "numpy>=1.23",
+    "numpy>=1.21",
     "packaging>=20.0",
     "pillow>=8",
     "pyparsing>=2.3.1",
     "python-dateutil>=2.7",
 ]
 files = [
-    {file = "matplotlib-3.9.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:565d572efea2b94f264dd86ef27919515aa6d629252a169b42ce5f570db7f37b"},
-    {file = "matplotlib-3.9.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6d397fd8ccc64af2ec0af1f0efc3bacd745ebfb9d507f3f552e8adb689ed730a"},
-    {file = "matplotlib-3.9.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:26040c8f5121cd1ad712abffcd4b5222a8aec3a0fe40bc8542c94331deb8780d"},
-    {file = "matplotlib-3.9.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d12cb1837cffaac087ad6b44399d5e22b78c729de3cdae4629e252067b705e2b"},
-    {file = "matplotlib-3.9.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0e835c6988edc3d2d08794f73c323cc62483e13df0194719ecb0723b564e0b5c"},
-    {file = "matplotlib-3.9.1-cp312-cp312-win_amd64.whl", hash = "sha256:44a21d922f78ce40435cb35b43dd7d573cf2a30138d5c4b709d19f00e3907fd7"},
-    {file = "matplotlib-3.9.1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:3fda72d4d472e2ccd1be0e9ccb6bf0d2eaf635e7f8f51d737ed7e465ac020cb3"},
-    {file = "matplotlib-3.9.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:84b3ba8429935a444f1fdc80ed930babbe06725bcf09fbeb5c8757a2cd74af04"},
-    {file = "matplotlib-3.9.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b918770bf3e07845408716e5bbda17eadfc3fcbd9307dc67f37d6cf834bb3d98"},
-    {file = "matplotlib-3.9.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:f1f2e5d29e9435c97ad4c36fb6668e89aee13d48c75893e25cef064675038ac9"},
-    {file = "matplotlib-3.9.1.tar.gz", hash = "sha256:de06b19b8db95dd33d0dc17c926c7c9ebed9f572074b6fac4f65068a6814d010"},
+    {file = "matplotlib-3.8.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50bac6e4d77e4262c4340d7a985c30912054745ec99756ce213bfbc3cb3808eb"},
+    {file = "matplotlib-3.8.4.tar.gz", hash = "sha256:8aac397d5e9ec158960e31c381c5ffc52ddd52bd9a47717e2a694038167dffea"},
 ]
 
 [[package]]
@@ -1632,6 +1689,7 @@ version = "0.1.7"
 requires_python = ">=3.8"
 summary = "Inline Matplotlib backend for Jupyter"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "traitlets",
 ]
@@ -1646,6 +1704,7 @@ version = "0.1.2"
 requires_python = ">=3.7"
 summary = "Markdown URL utilities"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
@@ -1657,6 +1716,7 @@ version = "3.0.2"
 requires_python = ">=3.7"
 summary = "A sane and fast Markdown parser with useful plugins and renderers"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "mistune-3.0.2-py3-none-any.whl", hash = "sha256:71481854c30fdbc938963d3605b72501f5c10a9320ecd412c121c163a1c7d205"},
     {file = "mistune-3.0.2.tar.gz", hash = "sha256:fc7f93ded930c92394ef2cb6f04a8aabab4117a91449e72dcc8dfa646a508be8"},
@@ -1668,6 +1728,7 @@ version = "10.3.0"
 requires_python = ">=3.8"
 summary = "More routines for operating on iterables, beyond itertools"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "more-itertools-10.3.0.tar.gz", hash = "sha256:e5d93ef411224fbcef366a6e8ddc4c5781bc6359d43412a65dd5964e46111463"},
     {file = "more_itertools-10.3.0-py3-none-any.whl", hash = "sha256:ea6a02e24a9161e51faad17a8782b92a0df82c12c1c8886fec7f0c3fa1a1b320"},
@@ -1679,6 +1740,7 @@ version = "1.0.8"
 requires_python = ">=3.8"
 summary = "MessagePack serializer"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "msgpack-1.0.8-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:114be227f5213ef8b215c22dde19532f5da9652e56e8ce969bf0a26d7c419fee"},
     {file = "msgpack-1.0.8-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d661dc4785affa9d0edfdd1e59ec056a58b3dbb9f196fa43587f3ddac654ac7b"},
@@ -1700,6 +1762,7 @@ version = "0.10.0"
 requires_python = ">=3.8.0"
 summary = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "jupyter-client>=6.1.12",
     "jupyter-core!=5.0.*,>=4.12",
@@ -1717,6 +1780,7 @@ version = "7.16.4"
 requires_python = ">=3.8"
 summary = "Converting Jupyter Notebooks (.ipynb files) to other formats.  Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script.  nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "beautifulsoup4",
     "bleach!=5.0.0",
@@ -1746,6 +1810,7 @@ version = "5.10.4"
 requires_python = ">=3.8"
 summary = "The Jupyter Notebook format"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "fastjsonschema>=2.15",
     "jsonschema>=2.6",
@@ -1763,6 +1828,7 @@ version = "1.6.0"
 requires_python = ">=3.5"
 summary = "Patch asyncio to allow nested event loops"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"},
     {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
@@ -1770,22 +1836,19 @@ files = [
 
 [[package]]
 name = "netcdf4"
-version = "1.7.1.post1"
+version = "1.7.1.post2"
 requires_python = ">=3.8"
 summary = "Provides an object-oriented python interface to the netCDF version 4 library"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "certifi",
     "cftime",
     "numpy",
 ]
 files = [
-    {file = "netCDF4-1.7.1.post1-cp312-cp312-macosx_11_0_x86_64.whl", hash = "sha256:75bba24ef0354fb6913bc3acdcb3790534e86bf329bbeaaf54122b18e5fd05ea"},
-    {file = "netCDF4-1.7.1.post1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:ce7f89b98dbb3acd9582db30e6478ce7a7003b2cb70dc20d85fe9506e65ab001"},
-    {file = "netCDF4-1.7.1.post1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac4e30a0d5a8e227d6a890502cfa201388acf606c0c73a5a7594232f3a74e67e"},
-    {file = "netCDF4-1.7.1.post1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:988c45f9122337a12267fb158953c0609e3ea50a557335a3105f104416a4821a"},
-    {file = "netCDF4-1.7.1.post1-cp312-cp312-win_amd64.whl", hash = "sha256:8fb3ed3541fa1b5b46e9d92d7e803734a1a3f37d8f5adf5fdf7957c7750cb20e"},
-    {file = "netcdf4-1.7.1.post1.tar.gz", hash = "sha256:797f0b25d87827fc6821e415d9e15a2068604b18c3be62563e72682bcba76548"},
+    {file = "netCDF4-1.7.1.post2-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:5f396f150f97831229e47f449fe6acbca8ff9d08b2166560c46790aa6f11b56b"},
+    {file = "netcdf4-1.7.1.post2.tar.gz", hash = "sha256:37d557e36654889d7020192bfb56f9d5f93894cb32997eb837ae586c538fd7b6"},
 ]
 
 [[package]]
@@ -1794,6 +1857,7 @@ version = "1.9.1"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 summary = "Node.js virtual environment builder"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"},
     {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
@@ -1805,6 +1869,7 @@ version = "0.2.4"
 requires_python = ">=3.7"
 summary = "A shim layer for notebook traits and config"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "jupyter-server<3,>=1.8",
 ]
@@ -1819,15 +1884,9 @@ version = "1.26.4"
 requires_python = ">=3.9"
 summary = "Fundamental package for array computing in Python"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
-    {file = "numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218"},
     {file = "numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b"},
-    {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b"},
-    {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed"},
-    {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a"},
-    {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0"},
-    {file = "numpy-1.26.4-cp312-cp312-win32.whl", hash = "sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110"},
-    {file = "numpy-1.26.4-cp312-cp312-win_amd64.whl", hash = "sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818"},
     {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
 ]
 
@@ -1837,6 +1896,7 @@ version = "3.1.5"
 requires_python = ">=3.8"
 summary = "A Python library to read/write Excel 2010 xlsx/xlsm files"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "et-xmlfile",
 ]
@@ -1851,6 +1911,7 @@ version = "7.7.0"
 requires_python = ">=3.6"
 summary = "A decorator to automatically detect mismatch when overriding a method."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "typing; python_version < \"3.5\"",
 ]
@@ -1865,6 +1926,7 @@ version = "24.1"
 requires_python = ">=3.8"
 summary = "Core utilities for Python packages"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"},
     {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
@@ -1876,6 +1938,7 @@ version = "2.2.2"
 requires_python = ">=3.9"
 summary = "Powerful data structures for data analysis, time series, and statistics"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "numpy>=1.22.4; python_version < \"3.11\"",
     "numpy>=1.23.2; python_version == \"3.11\"",
@@ -1901,6 +1964,7 @@ version = "1.5.1"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 summary = "Utilities for writing pandoc filters in python"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"},
     {file = "pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e"},
@@ -1912,6 +1976,7 @@ version = "0.8.4"
 requires_python = ">=3.6"
 summary = "A Python Parser"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18"},
     {file = "parso-0.8.4.tar.gz", hash = "sha256:eb3a7b58240fb99099a345571deecc0f9540ea5f4dd2fe14c2a99d6b281ab92d"},
@@ -1923,6 +1988,7 @@ version = "0.2.1"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 summary = "Bring colors to your terminal."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pastel-0.2.1-py2.py3-none-any.whl", hash = "sha256:4349225fcdf6c2bb34d483e523475de5bb04a5c10ef711263452cb37d7dd4364"},
     {file = "pastel-0.2.1.tar.gz", hash = "sha256:e6581ac04e973cac858828c6202c1e1e81fee1dc7de7683f3e1ffe0bfd8a573d"},
@@ -1934,6 +2000,7 @@ version = "2024.4.24"
 requires_python = ">=3.8"
 summary = "Installer for Python Build Standalone"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pbs_installer-2024.4.24-py3-none-any.whl", hash = "sha256:f8291f0231003d279d0de8fde88fa87b7c6d7fabc2671235113cf67513ff74f5"},
     {file = "pbs_installer-2024.4.24.tar.gz", hash = "sha256:19224733068b0ffa39b53afbb61544bee8ecb9503e7222ba034f07b9913e2c1c"},
@@ -1941,13 +2008,14 @@ files = [
 
 [[package]]
 name = "pdm"
-version = "2.17.1"
+version = "2.18.1"
 requires_python = ">=3.8"
 summary = "A modern Python package and dependency manager supporting the latest PEP standards"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "blinker",
-    "dep-logic>=0.4.3",
+    "dep-logic>=0.4.4",
     "filelock>=3.13",
     "findpython<1.0.0a0,>=0.6.0",
     "hishel<0.1.0,>=0.0.24",
@@ -1967,12 +2035,12 @@ dependencies = [
     "tomli>=1.1.0; python_version < \"3.11\"",
     "tomlkit<1,>=0.11.1",
     "truststore; python_version >= \"3.10\"",
-    "unearth>=0.16.0",
+    "unearth>=0.17.0",
     "virtualenv>=20",
 ]
 files = [
-    {file = "pdm-2.17.1-py3-none-any.whl", hash = "sha256:2ef7bb1424217f267b81e40f9c5326af27a519e9535e3272aa3b454ad5ab096c"},
-    {file = "pdm-2.17.1.tar.gz", hash = "sha256:9e1a28ecca83f3627aa700b1e3d52cd3f82f10fc908ac6499119baf7a3d4ea6c"},
+    {file = "pdm-2.18.1-py3-none-any.whl", hash = "sha256:6a86b9a6fbe071dc26f266006ac8d688e8d16e5115ee115135713af95a860c0a"},
+    {file = "pdm-2.18.1.tar.gz", hash = "sha256:acef692477a7190731ee7c1f626e97516eeb7473e4eeeeede4fef2bf0fb743ee"},
 ]
 
 [[package]]
@@ -1980,7 +2048,7 @@ name = "pexpect"
 version = "4.9.0"
 summary = "Pexpect allows easy control of interactive console applications."
 groups = ["default"]
-marker = "sys_platform != \"win32\" and sys_platform != \"emscripten\""
+marker = "(sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_full_version == \"3.12.4\""
 dependencies = [
     "ptyprocess>=0.5",
 ]
@@ -1995,6 +2063,7 @@ version = "10.4.0"
 requires_python = ">=3.8"
 summary = "Python Imaging Library (Fork)"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pillow-10.4.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:673655af3eadf4df6b5457033f086e90299fdd7a47983a13827acf7459c15d94"},
     {file = "pillow-10.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:866b6942a92f56300012f5fbac71f2d610312ee65e22f1aa2609e491284e5597"},
@@ -2030,6 +2099,7 @@ version = "1.11.1"
 requires_python = ">=3.8"
 summary = "Query metadata from sdists / bdists / installed packages."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pkginfo-1.11.1-py3-none-any.whl", hash = "sha256:bfa76a714fdfc18a045fcd684dbfc3816b603d9d075febef17cb6582bea29573"},
     {file = "pkginfo-1.11.1.tar.gz", hash = "sha256:2e0dca1cf4c8e39644eed32408ea9966ee15e0d324c62ba899a393b3c6b467aa"},
@@ -2041,6 +2111,7 @@ version = "4.2.2"
 requires_python = ">=3.8"
 summary = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"},
     {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"},
@@ -2052,6 +2123,7 @@ version = "1.5.0"
 requires_python = ">=3.8"
 summary = "plugin and hook calling mechanisms for python"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -2063,6 +2135,7 @@ version = "2.5.2"
 requires_python = ">=3.8"
 summary = "Multiple dispatch in Python"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "beartype>=0.16.2",
     "rich>=10.0",
@@ -2075,10 +2148,11 @@ files = [
 
 [[package]]
 name = "pre-commit"
-version = "3.7.1"
+version = "3.8.0"
 requires_python = ">=3.9"
 summary = "A framework for managing and maintaining multi-language pre-commit hooks."
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "cfgv>=2.0.0",
     "identify>=1.0.0",
@@ -2087,8 +2161,8 @@ dependencies = [
     "virtualenv>=20.10.0",
 ]
 files = [
-    {file = "pre_commit-3.7.1-py2.py3-none-any.whl", hash = "sha256:fae36fd1d7ad7d6a5a1c0b0d5adb2ed1a3bda5a21bf6c3e5372073d7a11cd4c5"},
-    {file = "pre_commit-3.7.1.tar.gz", hash = "sha256:8ca3ad567bc78a4972a3f1a477e94a79d4597e8140a6e0b651c5e33899c3654a"},
+    {file = "pre_commit-3.8.0-py2.py3-none-any.whl", hash = "sha256:9a90a53bf82fdd8778d58085faf8d83df56e40dfe18f45b19446e26bf1b3a63f"},
+    {file = "pre_commit-3.8.0.tar.gz", hash = "sha256:8bb6494d4a20423842e198980c9ecf9f96607a07ea29549e180eef9ae80fe7af"},
 ]
 
 [[package]]
@@ -2097,6 +2171,7 @@ version = "0.20.0"
 requires_python = ">=3.8"
 summary = "Python client for the Prometheus monitoring system."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "prometheus_client-0.20.0-py3-none-any.whl", hash = "sha256:cde524a85bce83ca359cc837f28b8c0db5cac7aa653a588fd7e84ba061c329e7"},
     {file = "prometheus_client-0.20.0.tar.gz", hash = "sha256:287629d00b147a32dcb2be0b9df905da599b2d82f80377083ec8463309a4bb89"},
@@ -2108,6 +2183,7 @@ version = "3.0.47"
 requires_python = ">=3.7.0"
 summary = "Library for building powerful interactive command lines in Python"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "wcwidth",
 ]
@@ -2122,6 +2198,7 @@ version = "6.0.0"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 summary = "Cross-platform lib for process and system monitoring in Python."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "psutil-6.0.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:c588a7e9b1173b6e866756dde596fd4cad94f9399daf99ad8c3258b3cb2b47a0"},
     {file = "psutil-6.0.0-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ed2440ada7ef7d0d608f20ad89a04ec47d2d3ab7190896cd62ca5fc4fe08bf0"},
@@ -2138,7 +2215,7 @@ name = "ptyprocess"
 version = "0.7.0"
 summary = "Run a subprocess in a pseudo terminal"
 groups = ["default"]
-marker = "sys_platform != \"win32\" and sys_platform != \"emscripten\" or os_name != \"nt\""
+marker = "(sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_full_version == \"3.12.4\" or os_name != \"nt\" and python_full_version == \"3.12.4\""
 files = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
     {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
@@ -2149,6 +2226,7 @@ name = "pure-eval"
 version = "0.2.2"
 summary = "Safely evaluate AST nodes without side effects"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pure_eval-0.2.2-py3-none-any.whl", hash = "sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350"},
     {file = "pure_eval-0.2.2.tar.gz", hash = "sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3"},
@@ -2160,6 +2238,7 @@ version = "2.22"
 requires_python = ">=3.8"
 summary = "C parser in Python"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
@@ -2171,6 +2250,7 @@ version = "2.8.2"
 requires_python = ">=3.8"
 summary = "Data validation using Python type hints"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "annotated-types>=0.4.0",
     "pydantic-core==2.20.1",
@@ -2188,6 +2268,7 @@ version = "2.20.1"
 requires_python = ">=3.8"
 summary = "Core functionality for Pydantic validation and serialization"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "typing-extensions!=4.7.0,>=4.6.0",
 ]
@@ -2229,6 +2310,7 @@ version = "2.18.0"
 requires_python = ">=3.8"
 summary = "Pygments is a syntax highlighting package written in Python."
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"},
     {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"},
@@ -2239,6 +2321,7 @@ name = "pylev"
 version = "1.4.0"
 summary = "A pure Python Levenshtein implementation that's not freaking GPL'd."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pylev-1.4.0-py2.py3-none-any.whl", hash = "sha256:7b2e2aa7b00e05bb3f7650eb506fc89f474f70493271a35c242d9a92188ad3dd"},
     {file = "pylev-1.4.0.tar.gz", hash = "sha256:9e77e941042ad3a4cc305dcdf2b2dec1aec2fbe3dd9015d2698ad02b173006d1"},
@@ -2250,6 +2333,7 @@ version = "0.9.0"
 requires_python = ">=3.8"
 summary = "Vectorized spatial vector file format I/O using GDAL/OGR"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "certifi",
     "numpy",
@@ -2270,6 +2354,7 @@ version = "3.1.2"
 requires_python = ">=3.6.8"
 summary = "pyparsing module - Classes and methods to define and execute parsing grammars"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pyparsing-3.1.2-py3-none-any.whl", hash = "sha256:f9db75911801ed778fe61bb643079ff86601aca99fcae6345aa67292038fb742"},
     {file = "pyparsing-3.1.2.tar.gz", hash = "sha256:a1bac0ce561155ecc3ed78ca94d3c9378656ad4c94c1270de543f621420f94ad"},
@@ -2281,6 +2366,7 @@ version = "3.6.1"
 requires_python = ">=3.9"
 summary = "Python interface to PROJ (cartographic projections and coordinate transformations library)"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "certifi",
 ]
@@ -2302,6 +2388,7 @@ version = "1.1.0"
 requires_python = ">=3.7"
 summary = "Wrappers to call pyproject.toml-based build backend hooks."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pyproject_hooks-1.1.0-py3-none-any.whl", hash = "sha256:7ceeefe9aec63a1064c18d939bdc3adf2d8aa1988a510afec15151578b232aa2"},
     {file = "pyproject_hooks-1.1.0.tar.gz", hash = "sha256:4b37730834edbd6bd37f26ece6b44802fb1c1ee2ece0e54ddff8bfc06db86965"},
@@ -2313,6 +2400,7 @@ version = "8.3.1"
 requires_python = ">=3.8"
 summary = "pytest: simple powerful testing with Python"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "colorama; sys_platform == \"win32\"",
     "exceptiongroup>=1.0.0rc8; python_version < \"3.11\"",
@@ -2332,6 +2420,7 @@ version = "4.1.0"
 requires_python = ">=3.7"
 summary = "Pytest plugin for measuring coverage."
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "coverage[toml]>=5.2.1",
     "pytest>=4.6",
@@ -2346,6 +2435,7 @@ name = "pytest-sugar"
 version = "1.0.0"
 summary = "pytest-sugar is a plugin for pytest that changes the default look and feel of pytest (e.g. progressbar, show tests that fail instantly)."
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "packaging>=21.3",
     "pytest>=6.2.0",
@@ -2362,6 +2452,7 @@ version = "3.6.1"
 requires_python = ">=3.8"
 summary = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "execnet>=2.1",
     "pytest>=7.0.0",
@@ -2377,6 +2468,7 @@ version = "2.9.0.post0"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 summary = "Extensions to the standard Python datetime module"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "six>=1.5",
 ]
@@ -2391,6 +2483,7 @@ version = "1.0.1"
 requires_python = ">=3.8"
 summary = "Read key-value pairs from a .env file and set them as environment variables"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
     {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
@@ -2402,6 +2495,7 @@ version = "2.0.7"
 requires_python = ">=3.6"
 summary = "A python library adding a json log formatter"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "python-json-logger-2.0.7.tar.gz", hash = "sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c"},
     {file = "python_json_logger-2.0.7-py3-none-any.whl", hash = "sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd"},
@@ -2412,53 +2506,19 @@ name = "pytz"
 version = "2024.1"
 summary = "World timezone definitions, modern and historical"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
     {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
 ]
 
-[[package]]
-name = "pywin32"
-version = "306"
-summary = "Python for Window Extensions"
-groups = ["default"]
-marker = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""
-files = [
-    {file = "pywin32-306-cp312-cp312-win32.whl", hash = "sha256:383229d515657f4e3ed1343da8be101000562bf514591ff383ae940cad65458b"},
-    {file = "pywin32-306-cp312-cp312-win_amd64.whl", hash = "sha256:37257794c1ad39ee9be652da0462dc2e394c8159dfd913a8a4e8eb6fd346da0e"},
-    {file = "pywin32-306-cp312-cp312-win_arm64.whl", hash = "sha256:5821ec52f6d321aa59e2db7e0a35b997de60c201943557d108af9d4ae1ec7040"},
-]
-
-[[package]]
-name = "pywin32-ctypes"
-version = "0.2.2"
-requires_python = ">=3.6"
-summary = "A (partial) reimplementation of pywin32 using ctypes/cffi"
-groups = ["default"]
-marker = "sys_platform == \"win32\""
-files = [
-    {file = "pywin32-ctypes-0.2.2.tar.gz", hash = "sha256:3426e063bdd5fd4df74a14fa3cf80a0b42845a87e1d1e81f6549f9daec593a60"},
-    {file = "pywin32_ctypes-0.2.2-py3-none-any.whl", hash = "sha256:bf490a1a709baf35d688fe0ecf980ed4de11d2b3e37b51e5442587a75d9957e7"},
-]
-
-[[package]]
-name = "pywinpty"
-version = "2.0.13"
-requires_python = ">=3.8"
-summary = "Pseudo terminal support for Windows from Python."
-groups = ["default"]
-marker = "os_name == \"nt\""
-files = [
-    {file = "pywinpty-2.0.13-cp312-none-win_amd64.whl", hash = "sha256:2fd876b82ca750bb1333236ce98488c1be96b08f4f7647cfdf4129dfad83c2d4"},
-    {file = "pywinpty-2.0.13.tar.gz", hash = "sha256:c34e32351a3313ddd0d7da23d27f835c860d32fe4ac814d372a3ea9594f41dde"},
-]
-
 [[package]]
 name = "pyyaml"
 version = "6.0.1"
 requires_python = ">=3.6"
 summary = "YAML parser and emitter for Python"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
     {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
@@ -2476,6 +2536,7 @@ version = "26.0.3"
 requires_python = ">=3.7"
 summary = "Python bindings for 0MQ"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "cffi; implementation_name == \"pypy\"",
 ]
@@ -2518,10 +2579,11 @@ files = [
 
 [[package]]
 name = "quartodoc"
-version = "0.7.5"
+version = "0.7.6"
 requires_python = ">=3.9"
 summary = "Generate API documentation with Quarto."
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "click",
     "griffe>=0.33",
@@ -2538,8 +2600,8 @@ dependencies = [
     "watchdog>=3.0.0",
 ]
 files = [
-    {file = "quartodoc-0.7.5-py3-none-any.whl", hash = "sha256:293c45c4b1b10936d562921ff32f7a5d3e24bde250c638f0033c0c38ecbc9a92"},
-    {file = "quartodoc-0.7.5.tar.gz", hash = "sha256:328d40374fa4397cab67a820cdac3dca47a90eb0a33328ccf50c8f41507ef125"},
+    {file = "quartodoc-0.7.6-py3-none-any.whl", hash = "sha256:d52f5c9e0b5842b74b93647c423af64c689d5aa0c43789ae4986a6044fde3733"},
+    {file = "quartodoc-0.7.6.tar.gz", hash = "sha256:5513d66195f66d1edb547fdf9b4084532bd70b4ce44ce0f7a4e6a2cb55708626"},
 ]
 
 [[package]]
@@ -2548,6 +2610,7 @@ version = "1.3.10"
 requires_python = ">=3.8"
 summary = "Fast and direct raster I/O for use with Numpy and SciPy"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "affine",
     "attrs",
@@ -2561,10 +2624,7 @@ dependencies = [
     "snuggs>=1.4.1",
 ]
 files = [
-    {file = "rasterio-1.3.10-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:3a9c4fb63e050e11bcd23e53f084ca186b445f976df1f70e7abd851c4072837f"},
     {file = "rasterio-1.3.10-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7c7ddca79444fd3b933f4cd1a1773e9f7839d0ce5d76e600bdf92ee9a79b95f8"},
-    {file = "rasterio-1.3.10-cp312-cp312-manylinux2014_x86_64.whl", hash = "sha256:f9cd757e11cfb07ef39b1cc79a32497bf22aff7fec41fe330b868cb3043b4db5"},
-    {file = "rasterio-1.3.10-cp312-cp312-win_amd64.whl", hash = "sha256:7e653968f64840654d277e0f86f8666ed8f3030ba36fa865f420f9bc38d619ee"},
     {file = "rasterio-1.3.10.tar.gz", hash = "sha256:ce182c735b4f9e8735d90600607ecab15ef895eb8aa660bf665751529477e326"},
 ]
 
@@ -2574,6 +2634,7 @@ version = "0.35.1"
 requires_python = ">=3.8"
 summary = "JSON Referencing + Python"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "attrs>=22.2.0",
     "rpds-py>=0.7.0",
@@ -2589,6 +2650,7 @@ version = "2.32.3"
 requires_python = ">=3.8"
 summary = "Python HTTP for Humans."
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "certifi>=2017.4.17",
     "charset-normalizer<4,>=2",
@@ -2605,6 +2667,7 @@ name = "resolvelib"
 version = "1.0.1"
 summary = "Resolve abstract dependencies into concrete ones"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "resolvelib-1.0.1-py2.py3-none-any.whl", hash = "sha256:d2da45d1a8dfee81bdd591647783e340ef3bcb104b54c383f70d422ef5cc7dbf"},
     {file = "resolvelib-1.0.1.tar.gz", hash = "sha256:04ce76cbd63fded2078ce224785da6ecd42b9564b1390793f64ddecbe997b309"},
@@ -2616,6 +2679,7 @@ version = "0.1.4"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 summary = "A pure python RFC3339 validator"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "six",
 ]
@@ -2630,6 +2694,7 @@ version = "0.1.1"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 summary = "Pure python rfc3986 validator"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9"},
     {file = "rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055"},
@@ -2637,18 +2702,19 @@ files = [
 
 [[package]]
 name = "rich"
-version = "13.7.1"
+version = "13.8.0"
 requires_python = ">=3.7.0"
 summary = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "markdown-it-py>=2.2.0",
     "pygments<3.0.0,>=2.13.0",
     "typing-extensions<5.0,>=4.0.0; python_version < \"3.9\"",
 ]
 files = [
-    {file = "rich-13.7.1-py3-none-any.whl", hash = "sha256:4edbae314f59eb482f54e9e30bf00d33350aaa94f4bfcd4e9e3110e64d0d7222"},
-    {file = "rich-13.7.1.tar.gz", hash = "sha256:9be308cb1fe2f1f57d67ce99e95af38a1e2bc71ad9813b0e247cf7ffbcc3a432"},
+    {file = "rich-13.8.0-py3-none-any.whl", hash = "sha256:2e85306a063b9492dffc86278197a60cbece75bcb766022f3436f567cae11bdc"},
+    {file = "rich-13.8.0.tar.gz", hash = "sha256:a5ac1f1cd448ade0d59cc3356f7db7a7ccda2c8cbae9c7a90c28ff463d3e91f4"},
 ]
 
 [[package]]
@@ -2657,6 +2723,7 @@ version = "0.17.0"
 requires_python = ">=3.10"
 summary = "geospatial xarray extension powered by rasterio"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "numpy>=1.23",
     "packaging",
@@ -2675,6 +2742,7 @@ version = "0.19.0"
 requires_python = ">=3.8"
 summary = "Python bindings to Rust's persistent data structures (rpds)"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "rpds_py-0.19.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:5095a7c838a8647c32aa37c3a460d2c48debff7fc26e1136aee60100a8cd8f68"},
     {file = "rpds_py-0.19.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6f2f78ef14077e08856e788fa482107aa602636c16c25bdf59c22ea525a785e9"},
@@ -2731,6 +2799,7 @@ version = "0.18.6"
 requires_python = ">=3.7"
 summary = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "ruamel-yaml-clib>=0.2.7; platform_python_implementation == \"CPython\" and python_version < \"3.13\"",
 ]
@@ -2745,7 +2814,7 @@ version = "0.2.8"
 requires_python = ">=3.6"
 summary = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml"
 groups = ["default"]
-marker = "platform_python_implementation == \"CPython\""
+marker = "platform_python_implementation == \"CPython\" and python_full_version == \"3.12.4\""
 files = [
     {file = "ruamel.yaml.clib-0.2.8-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:ebc06178e8821efc9692ea7544aa5644217358490145629914d8020042c24aa1"},
     {file = "ruamel.yaml.clib-0.2.8-cp312-cp312-macosx_13_0_arm64.whl", hash = "sha256:edaef1c1200c4b4cb914583150dcaa3bc30e592e907c01117c08b13a07255ec2"},
@@ -2760,23 +2829,17 @@ files = [
 
 [[package]]
 name = "scipy"
-version = "1.14.0"
-requires_python = ">=3.10"
+version = "1.13.1"
+requires_python = ">=3.9"
 summary = "Fundamental algorithms for scientific computing in Python"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
-    "numpy<2.3,>=1.23.5",
+    "numpy<2.3,>=1.22.4",
 ]
 files = [
-    {file = "scipy-1.14.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:bff2438ea1330e06e53c424893ec0072640dac00f29c6a43a575cbae4c99b2b9"},
-    {file = "scipy-1.14.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:bbc0471b5f22c11c389075d091d3885693fd3f5e9a54ce051b46308bc787e5d4"},
-    {file = "scipy-1.14.0-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:64b2ff514a98cf2bb734a9f90d32dc89dc6ad4a4a36a312cd0d6327170339eb0"},
-    {file = "scipy-1.14.0-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:7d3da42fbbbb860211a811782504f38ae7aaec9de8764a9bef6b262de7a2b50f"},
-    {file = "scipy-1.14.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d91db2c41dd6c20646af280355d41dfa1ec7eead235642178bd57635a3f82209"},
-    {file = "scipy-1.14.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a01cc03bcdc777c9da3cfdcc74b5a75caffb48a6c39c8450a9a05f82c4250a14"},
-    {file = "scipy-1.14.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:65df4da3c12a2bb9ad52b86b4dcf46813e869afb006e58be0f516bc370165159"},
-    {file = "scipy-1.14.0-cp312-cp312-win_amd64.whl", hash = "sha256:4c4161597c75043f7154238ef419c29a64ac4a7c889d588ea77690ac4d0d9b20"},
-    {file = "scipy-1.14.0.tar.gz", hash = "sha256:b5923f48cb840380f9854339176ef21763118a7300a88203ccd0bdd26e58527b"},
+    {file = "scipy-1.13.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:949ae67db5fa78a86e8fa644b9a6b07252f449dcf74247108c50e1d20d2b4627"},
+    {file = "scipy-1.13.1.tar.gz", hash = "sha256:095a87a0312b08dfd6a6155cbbd310a8c51800fc931b8c0b84003014b874ed3c"},
 ]
 
 [[package]]
@@ -2785,6 +2848,7 @@ version = "0.13.2"
 requires_python = ">=3.8"
 summary = "Statistical data visualization"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "matplotlib!=3.6.1,>=3.4",
     "numpy!=1.24.0,>=1.20",
@@ -2801,7 +2865,7 @@ version = "3.3.3"
 requires_python = ">=3.6"
 summary = "Python bindings to FreeDesktop.org Secret Service API"
 groups = ["default"]
-marker = "sys_platform == \"linux\""
+marker = "sys_platform == \"linux\" and python_full_version == \"3.12.4\""
 dependencies = [
     "cryptography>=2.0",
     "jeepney>=0.6",
@@ -2817,6 +2881,7 @@ version = "1.8.3"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 summary = "Send file to trash natively under Mac OS X, Windows and Linux"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "Send2Trash-1.8.3-py3-none-any.whl", hash = "sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9"},
     {file = "Send2Trash-1.8.3.tar.gz", hash = "sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf"},
@@ -2827,7 +2892,8 @@ name = "setuptools"
 version = "71.0.4"
 requires_python = ">=3.8"
 summary = "Easily download, build, install, upgrade, and uninstall Python packages"
-groups = ["default"]
+groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "setuptools-71.0.4-py3-none-any.whl", hash = "sha256:ed2feca703be3bdbd94e6bb17365d91c6935c6b2a8d0bb09b66a2c435ba0b1a5"},
     {file = "setuptools-71.0.4.tar.gz", hash = "sha256:48297e5d393a62b7cb2a10b8f76c63a73af933bd809c9e0d0d6352a1a0135dd8"},
@@ -2839,6 +2905,7 @@ version = "2.0.5"
 requires_python = ">=3.7"
 summary = "Manipulation and analysis of geometric objects"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "numpy<3,>=1.14",
 ]
@@ -2858,6 +2925,7 @@ version = "1.5.4"
 requires_python = ">=3.7"
 summary = "Tool to Detect Surrounding Shell"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
     {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
@@ -2869,6 +2937,7 @@ version = "1.16.0"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 summary = "Python 2 and 3 compatibility utilities"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
@@ -2880,6 +2949,7 @@ version = "5.0.1"
 requires_python = ">=3.7"
 summary = "A pure Python implementation of a sliding window memory map manager"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
     {file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
@@ -2891,6 +2961,7 @@ version = "1.3.1"
 requires_python = ">=3.7"
 summary = "Sniff out which async library your code is running under"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -2901,6 +2972,7 @@ name = "snuggs"
 version = "1.4.7"
 summary = "Snuggs are s-expressions for Numpy"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "numpy",
     "pyparsing>=2.1.6",
@@ -2916,6 +2988,7 @@ version = "1.0.0"
 requires_python = ">=3.6"
 summary = "Sans-I/O implementation of SOCKS4, SOCKS4A, and SOCKS5."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "socksio-1.0.0-py3-none-any.whl", hash = "sha256:95dc1f15f9b34e8d7b16f06d74b8ccf48f609af32ab33c608d08761c5dcbb1f3"},
     {file = "socksio-1.0.0.tar.gz", hash = "sha256:f88beb3da5b5c38b9890469de67d0cb0f9d494b78b106ca1845f96c10b91c4ac"},
@@ -2927,6 +3000,7 @@ version = "2.5"
 requires_python = ">=3.8"
 summary = "A modern CSS selector implementation for Beautiful Soup."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "soupsieve-2.5-py3-none-any.whl", hash = "sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7"},
     {file = "soupsieve-2.5.tar.gz", hash = "sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690"},
@@ -2938,6 +3012,7 @@ version = "2.3.1.1"
 requires_python = ">=3.8"
 summary = "Sphinx objects.inv Inspection/Manipulation Tool"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "attrs>=19.2",
     "certifi",
@@ -2953,6 +3028,7 @@ name = "stack-data"
 version = "0.6.3"
 summary = "Extract data from python stack frames and tracebacks for informative displays"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "asttokens>=2.1.0",
     "executing>=1.2.0",
@@ -2969,6 +3045,7 @@ version = "1.1.1"
 requires_python = ">=3.6,<4.0"
 summary = "Simple and safe python wrapper for calling system rsync"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "toml<0.11.0,>=0.10.0",
 ]
@@ -2983,6 +3060,7 @@ version = "0.9.0"
 requires_python = ">=3.7"
 summary = "Pretty-print tabular data"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -2994,6 +3072,7 @@ version = "2.4.0"
 requires_python = ">=3.8"
 summary = "ANSI color formatting for output in terminal"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "termcolor-2.4.0-py3-none-any.whl", hash = "sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63"},
     {file = "termcolor-2.4.0.tar.gz", hash = "sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a"},
@@ -3005,6 +3084,7 @@ version = "0.18.1"
 requires_python = ">=3.8"
 summary = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "ptyprocess; os_name != \"nt\"",
     "pywinpty>=1.1.0; os_name == \"nt\"",
@@ -3021,6 +3101,7 @@ version = "1.3.0"
 requires_python = ">=3.8"
 summary = "A tiny CSS parser"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "webencodings>=0.4",
 ]
@@ -3035,6 +3116,7 @@ version = "0.10.2"
 requires_python = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 summary = "Python Library for Tom's Obvious, Minimal Language"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
@@ -3046,6 +3128,7 @@ version = "0.13.0"
 requires_python = ">=3.8"
 summary = "Style preserving TOML library"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "tomlkit-0.13.0-py3-none-any.whl", hash = "sha256:7075d3042d03b80f603482d69bf0c8f345c2b30e41699fd8883227f89972b264"},
     {file = "tomlkit-0.13.0.tar.gz", hash = "sha256:08ad192699734149f5b97b45f1f18dad7eb1b6d16bc72ad0c2335772650d7b72"},
@@ -3057,6 +3140,7 @@ version = "0.12.1"
 requires_python = ">=3.7"
 summary = "List processing tools and functional utilities"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "toolz-0.12.1-py3-none-any.whl", hash = "sha256:d22731364c07d72eea0a0ad45bafb2c2937ab6fd38a3507bf55eae8744aa7d85"},
     {file = "toolz-0.12.1.tar.gz", hash = "sha256:ecca342664893f177a13dac0e6b41cbd8ac25a358e5f215316d43e2100224f4d"},
@@ -3068,6 +3152,7 @@ version = "6.4.1"
 requires_python = ">=3.8"
 summary = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:163b0aafc8e23d8cdc3c9dfb24c5368af84a81e3364745ccb4427669bf84aec8"},
     {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:6d5ce3437e18a2b66fbadb183c1d3364fb03f2be71299e7d10dbeeb69f4b2a14"},
@@ -3084,16 +3169,17 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.66.4"
+version = "4.66.5"
 requires_python = ">=3.7"
 summary = "Fast, Extensible Progress Meter"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "colorama; platform_system == \"Windows\"",
 ]
 files = [
-    {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"},
-    {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
+    {file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"},
+    {file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"},
 ]
 
 [[package]]
@@ -3102,6 +3188,7 @@ version = "5.14.3"
 requires_python = ">=3.8"
 summary = "Traitlets Python configuration system"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
     {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
@@ -3113,6 +3200,7 @@ version = "0.9.1"
 requires_python = ">=3.10"
 summary = "Verify certificates using native system trust stores"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "truststore-0.9.1-py3-none-any.whl", hash = "sha256:7f5b447d68318d966428131fc1c00442cca3a2d581a3986143558f007efba0b4"},
     {file = "truststore-0.9.1.tar.gz", hash = "sha256:8f7312d70cc33e9003b748a80a04ead1fcb2ed856a7c6c9ca5a02482901a90be"},
@@ -3120,10 +3208,11 @@ files = [
 
 [[package]]
 name = "typer"
-version = "0.12.3"
+version = "0.12.5"
 requires_python = ">=3.7"
 summary = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "click>=8.0.0",
     "rich>=10.11.0",
@@ -3131,8 +3220,8 @@ dependencies = [
     "typing-extensions>=3.7.4.3",
 ]
 files = [
-    {file = "typer-0.12.3-py3-none-any.whl", hash = "sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914"},
-    {file = "typer-0.12.3.tar.gz", hash = "sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482"},
+    {file = "typer-0.12.5-py3-none-any.whl", hash = "sha256:62fe4e471711b147e3365034133904df3e235698399bc4de2b36c8579298d52b"},
+    {file = "typer-0.12.5.tar.gz", hash = "sha256:f592f089bedcc8ec1b974125d64851029c3b1af145f04aca64d69410f0c9b722"},
 ]
 
 [[package]]
@@ -3141,6 +3230,7 @@ version = "2.9.0.20240316"
 requires_python = ">=3.8"
 summary = "Typing stubs for python-dateutil"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "types-python-dateutil-2.9.0.20240316.tar.gz", hash = "sha256:5d2f2e240b86905e40944dd787db6da9263f0deabef1076ddaed797351ec0202"},
     {file = "types_python_dateutil-2.9.0.20240316-py3-none-any.whl", hash = "sha256:6b8cb66d960771ce5ff974e9dd45e38facb81718cc1e208b10b1baccbfdbee3b"},
@@ -3152,6 +3242,7 @@ version = "4.12.2"
 requires_python = ">=3.8"
 summary = "Backported and Experimental Type Hints for Python 3.8+"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
@@ -3163,6 +3254,7 @@ version = "2024.1"
 requires_python = ">=2"
 summary = "Provider of IANA time zone data"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
     {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
@@ -3170,17 +3262,18 @@ files = [
 
 [[package]]
 name = "unearth"
-version = "0.16.1"
+version = "0.17.2"
 requires_python = ">=3.8"
 summary = "A utility to fetch and download python packages"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "httpx<1,>=0.27.0",
     "packaging>=20",
 ]
 files = [
-    {file = "unearth-0.16.1-py3-none-any.whl", hash = "sha256:5a598ac1a3f185144fadc9de47f1043bff805c36118ffc40f81ef98ff22e8e37"},
-    {file = "unearth-0.16.1.tar.gz", hash = "sha256:988a43418fa0b78aeb628a15f6a3b02152c1787f63fe6d254c7f4e2ccf8db0a7"},
+    {file = "unearth-0.17.2-py3-none-any.whl", hash = "sha256:4d21af1238a583835fca156322f7225382e718cdcc42d6278050a88e605c4ad5"},
+    {file = "unearth-0.17.2.tar.gz", hash = "sha256:0b8a2afd3476f1ab6155fc579501ac47fffe43547d88a70e5a5b76a7fe6caa2c"},
 ]
 
 [[package]]
@@ -3189,6 +3282,7 @@ version = "1.3.0"
 requires_python = ">=3.7"
 summary = "RFC 6570 URI Template Processor"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"},
     {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"},
@@ -3200,6 +3294,7 @@ version = "1.26.19"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 summary = "HTTP library with thread-safe connection pooling, file post, and more."
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"},
     {file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"},
@@ -3211,6 +3306,7 @@ version = "20.26.3"
 requires_python = ">=3.7"
 summary = "Virtual Python Environment builder"
 groups = ["default", "dev"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "distlib<1,>=0.3.7",
     "filelock<4,>=3.12.2",
@@ -3228,6 +3324,7 @@ version = "4.0.1"
 requires_python = ">=3.8"
 summary = "Filesystem events monitoring"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "watchdog-4.0.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:093b23e6906a8b97051191a4a0c73a77ecc958121d42346274c6af6520dec175"},
     {file = "watchdog-4.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:611be3904f9843f0529c35a3ff3fd617449463cb4b73b1633950b3d97fa4bfb7"},
@@ -3256,6 +3353,7 @@ name = "wcwidth"
 version = "0.2.13"
 summary = "Measures the displayed width of unicode strings in a terminal"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "backports-functools-lru-cache>=1.2.1; python_version < \"3.2\"",
 ]
@@ -3270,6 +3368,7 @@ version = "24.6.0"
 requires_python = ">=3.8"
 summary = "A library for working with the color formats defined by HTML and CSS."
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "webcolors-24.6.0-py3-none-any.whl", hash = "sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1"},
     {file = "webcolors-24.6.0.tar.gz", hash = "sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b"},
@@ -3280,6 +3379,7 @@ name = "webencodings"
 version = "0.5.1"
 summary = "Character encoding aliases for legacy web content"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
     {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
@@ -3291,6 +3391,7 @@ version = "1.8.0"
 requires_python = ">=3.8"
 summary = "WebSocket client for Python with low level API options"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
     {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
@@ -3302,6 +3403,7 @@ version = "2024.6.0"
 requires_python = ">=3.9"
 summary = "N-D labeled arrays and datasets in Python"
 groups = ["default"]
+marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "numpy>=1.23",
     "packaging>=23.1",
@@ -3318,6 +3420,7 @@ version = "3.19.2"
 requires_python = ">=3.8"
 summary = "Backport of pathlib-compatible object wrapper for zip files"
 groups = ["dev"]
+marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
     {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 996dc986..f2024ed4 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -22,12 +22,12 @@ license = {text = "MIT"}
 requires-python = "==3.12.*"
 dependencies = [
     "tqdm>=4.66.4",
-    "scipy<2.0.0,>=1.12.0",
+    "scipy<1.14",
     "rioxarray<1.0.0,>=0.15.1",
     "rasterio<2.0.0,>=1.3.9",
     "python-dateutil<3.0.0,>=2.8.2",
     "jupyterlab<5.0.0,>=4.1.2",
-    "matplotlib>=3.8.3",
+    "matplotlib<3.9",
     "geopandas>=0.14.3",
     "openpyxl>=3.1.2",
     "gdal==3.8.5",

From fde3e39da832c854c22fe46ceaac8e28d879c6bc Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 3 Sep 2024 21:27:19 +0100
Subject: [PATCH 67/92] fix: `numpy` and `rasterio` versions for `jupyter`
 `docker` and update `docs`

---
 compose/jupyter/Dockerfile |  30 +-
 python/pdm.lock            | 928 ++++++++++++++-----------------------
 python/pyproject.toml      |   6 +-
 setup-instructions.md      |  58 ++-
 4 files changed, 403 insertions(+), 619 deletions(-)

diff --git a/compose/jupyter/Dockerfile b/compose/jupyter/Dockerfile
index 2f6e565d..8a3a93c2 100644
--- a/compose/jupyter/Dockerfile
+++ b/compose/jupyter/Dockerfile
@@ -9,25 +9,11 @@ ARG HOST_DATA_PATH=/Volumes/vmfileshare
 # The local_data_path is an absolute path to mount ClimateData within `docker`
 ARG DOCKER_DATA_PATH=/mnt/vmfileshare
 
-USER ${NB_UID}
-COPY --chown=$NB_USER:$NB_USER conda-lock.yml /tmp/conda-lock.yml
-
-RUN conda install -y conda-lock
-
-RUN \
-  conda-lock install --copy -n ${env_name} /tmp/conda-lock.yml && \
-  conda clean --all -y && \
-  fix-permissions "${CONDA_DIR}" && \
-  fix-permissions "/home/${NB_USER}"
-
-# Note the below originally was run just prior to `conda clean`
-# but may no longer be needed
-# conda run -n ${env_name} python -m ipykernel install --user --name ${env_name} && \
 
 # Needed for write permission
 USER root
 
-# build-essential is needed for pysqlite3 and gdal
+# Build-essential for gdal and potentially packages like scipy
 RUN sudo apt-get update && sudo apt-get install -y build-essential
 
 # First line changes a startup hook, which will activate the custom environment
@@ -39,15 +25,13 @@ RUN chown -R ${NB_USER}:${NB_GID} /home/${NB_USER}
 
 USER ${NB_UID}
 
-# pysqlite3 may no longer be included in the jupyter stack
-# adding to fix, worth checking if necessary in future
-# RUN conda update -n ${env_name} -y --all && \
-#     conda install -n ${env_name} -y pysqlite3
-# RUN conda install -n ${env_name} -y pysqlite3
+RUN conda create -n ${env_name}
+# Todo: either return to an update to environment.yml or document this
+RUN conda install -n ${env_name} -y gdal=3.8.5 pdm rsync
 
 # This makes the custom environment default in Jupyter Terminals for already existing NB_USER
 # Note this *doesn't* apply if simply using sh -c
 RUN echo conda activate "${env_name}" >> "/home/${NB_USER}/.bashrc"
-# RUN echo export activate "${env_name}" >> "/home/${NB_USER}/.bashrc"
-# RUN export _PYPROJECT_HOOKS_BUILD_BACKEND=/home/${NB_USER}/.local/bin/pdm
-# RUN cd python && conda run -n ${env_name} pdm install -v
+
+# Install dependencies
+RUN cd python && conda run -n ${env_name} pdm install
diff --git a/python/pdm.lock b/python/pdm.lock
index 3e3e17d2..434f1d4f 100644
--- a/python/pdm.lock
+++ b/python/pdm.lock
@@ -5,13 +5,10 @@
 groups = ["default", "dev"]
 strategy = ["inherit_metadata"]
 lock_version = "4.5.0"
-content_hash = "sha256:a791bb55d90fb8dcbba5e8c629aafba2f6010acb5d675f791bf23b218f1e9a19"
+content_hash = "sha256:9d8cc63d68a52e6ede993eaff96c9864e0f6114c7650cc6ed657197471820e33"
 
 [[metadata.targets]]
-requires_python = "==3.12.4"
-platform = "manylinux_2_39_aarch64"
-implementation = "cpython"
-gil_disabled = false
+requires_python = "==3.12.*"
 
 [[package]]
 name = "affine"
@@ -19,7 +16,6 @@ version = "2.4.0"
 requires_python = ">=3.7"
 summary = "Matrices describing affine transformation of the plane"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "affine-2.4.0-py3-none-any.whl", hash = "sha256:8a3df80e2b2378aef598a83c1392efd47967afec4242021a0b06b4c7cbc61a92"},
     {file = "affine-2.4.0.tar.gz", hash = "sha256:a24d818d6a836c131976d22f8c27b8d3ca32d0af64c1d8d29deb7bafa4da1eea"},
@@ -31,7 +27,6 @@ version = "0.7.0"
 requires_python = ">=3.8"
 summary = "Reusable constraint types to use with typing.Annotated"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "typing-extensions>=4.0.0; python_version < \"3.9\"",
 ]
@@ -46,7 +41,6 @@ version = "4.4.0"
 requires_python = ">=3.8"
 summary = "High level compatibility layer for multiple asynchronous event loop implementations"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "exceptiongroup>=1.0.2; python_version < \"3.11\"",
     "idna>=2.8",
@@ -63,19 +57,29 @@ name = "appdirs"
 version = "1.4.4"
 summary = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
 ]
 
+[[package]]
+name = "appnope"
+version = "0.1.4"
+requires_python = ">=3.6"
+summary = "Disable App Nap on macOS >= 10.9"
+groups = ["default"]
+marker = "platform_system == \"Darwin\""
+files = [
+    {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
+    {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
+]
+
 [[package]]
 name = "argon2-cffi"
 version = "23.1.0"
 requires_python = ">=3.7"
 summary = "Argon2 for Python"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "argon2-cffi-bindings",
     "typing-extensions; python_version < \"3.8\"",
@@ -91,7 +95,6 @@ version = "21.2.0"
 requires_python = ">=3.6"
 summary = "Low-level CFFI bindings for Argon2"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "cffi>=1.0.1",
 ]
@@ -107,16 +110,6 @@ files = [
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-    {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb"},
-    {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a"},
 ]
 
 [[package]]
@@ -125,7 +118,6 @@ version = "1.3.0"
 requires_python = ">=3.8"
 summary = "Better dates & times for Python"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "python-dateutil>=2.7.0",
     "types-python-dateutil>=2.8.10",
@@ -140,7 +132,6 @@ name = "asttokens"
 version = "2.4.1"
 summary = "Annotate AST trees with source code positions"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "six>=1.12.0",
     "typing; python_version < \"3.5\"",
@@ -156,7 +147,6 @@ version = "2.0.4"
 requires_python = ">=3.8"
 summary = "Simple LRU cache for asyncio"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "typing-extensions>=4.0.0; python_version < \"3.11\"",
 ]
@@ -167,32 +157,30 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "23.2.0"
+version = "24.2.0"
 requires_python = ">=3.7"
 summary = "Classes Without Boilerplate"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "importlib-metadata; python_version < \"3.8\"",
 ]
 files = [
-    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
-    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
+    {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
+    {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
 ]
 
 [[package]]
 name = "babel"
-version = "2.15.0"
+version = "2.16.0"
 requires_python = ">=3.8"
 summary = "Internationalization utilities"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "pytz>=2015.7; python_version < \"3.9\"",
 ]
 files = [
-    {file = "Babel-2.15.0-py3-none-any.whl", hash = "sha256:08706bdad8d0a3413266ab61bd6c34d0c28d6e1e7badf40a2cebe67644e2e1fb"},
-    {file = "babel-2.15.0.tar.gz", hash = "sha256:8daf0e265d05768bc6c7a314cf1321e9a123afc328cc635c18622a2f30a04413"},
+    {file = "babel-2.16.0-py3-none-any.whl", hash = "sha256:368b5b98b37c06b7daf6696391c3240c938b37767d4584413e8438c5c435fa8b"},
+    {file = "babel-2.16.0.tar.gz", hash = "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316"},
 ]
 
 [[package]]
@@ -201,7 +189,7 @@ version = "0.18.5"
 requires_python = ">=3.8.0"
 summary = "Unbearably fast runtime type checking in pure Python."
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
+marker = "python_version >= \"3.10\""
 files = [
     {file = "beartype-0.18.5-py3-none-any.whl", hash = "sha256:5301a14f2a9a5540fe47ec6d34d758e9cd8331d36c4760fc7a5499ab86310089"},
     {file = "beartype-0.18.5.tar.gz", hash = "sha256:264ddc2f1da9ec94ff639141fbe33d22e12a9f75aa863b83b7046ffff1381927"},
@@ -213,7 +201,6 @@ version = "4.12.3"
 requires_python = ">=3.6.0"
 summary = "Screen-scraping library"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "soupsieve>1.2",
 ]
@@ -228,7 +215,6 @@ version = "6.1.0"
 requires_python = ">=3.8"
 summary = "An easy safelist-based HTML-sanitizing tool."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "six>=1.9.0",
     "webencodings",
@@ -244,7 +230,6 @@ version = "1.8.2"
 requires_python = ">=3.8"
 summary = "Fast, simple object-to-object and broadcast signaling"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "blinker-1.8.2-py3-none-any.whl", hash = "sha256:1779309f71bf239144b9399d06ae925637cf6634cf6bd131104184531bf67c01"},
     {file = "blinker-1.8.2.tar.gz", hash = "sha256:8f77b09d3bf7c795e969e9486f39c2c5e9c39d4ee07424be2bc594ece9642d83"},
@@ -256,7 +241,6 @@ version = "0.14.0"
 requires_python = ">=3.7"
 summary = "httplib2 caching for requests"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "msgpack<2.0.0,>=0.5.2",
     "requests>=2.16.0",
@@ -273,7 +257,6 @@ extras = ["filecache"]
 requires_python = ">=3.7"
 summary = "httplib2 caching for requests"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "cachecontrol==0.14.0",
     "filelock>=3.8.0",
@@ -289,7 +272,6 @@ version = "0.3.0"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 summary = "Cachy provides a simple yet effective caching library."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "cachy-0.3.0-py2.py3-none-any.whl", hash = "sha256:338ca09c8860e76b275aff52374330efedc4d5a5e45dc1c5b539c1ead0786fe7"},
     {file = "cachy-0.3.0.tar.gz", hash = "sha256:186581f4ceb42a0bbe040c407da73c14092379b1e4c0e327fdb72ae4a9b269b1"},
@@ -297,38 +279,37 @@ files = [
 
 [[package]]
 name = "certifi"
-version = "2024.7.4"
+version = "2024.8.30"
 requires_python = ">=3.6"
 summary = "Python package for providing Mozilla's CA Bundle."
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
-    {file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
-    {file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
+    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
+    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
 ]
 
 [[package]]
 name = "cffi"
-version = "1.16.0"
+version = "1.17.0"
 requires_python = ">=3.8"
 summary = "Foreign Function Interface for Python calling C code."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "pycparser",
 ]
 files = [
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-    {file = "cffi-1.16.0.tar.gz", hash = "sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0"},
+    {file = "cffi-1.17.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aec510255ce690d240f7cb23d7114f6b351c733a74c279a84def763660a2c3bc"},
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+    {file = "cffi-1.17.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eb862356ee9391dc5a0b3cbc00f416b48c1b9a52d252d898e5b7696a5f9fe150"},
+    {file = "cffi-1.17.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:c1c13185b90bbd3f8b5963cd8ce7ad4ff441924c31e23c975cb150e27c2bf67a"},
+    {file = "cffi-1.17.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:17c6d6d3260c7f2d94f657e6872591fe8733872a86ed1345bda872cfc8c74885"},
+    {file = "cffi-1.17.0-cp312-cp312-win32.whl", hash = "sha256:c3b8bd3133cd50f6b637bb4322822c94c5ce4bf0d724ed5ae70afce62187c492"},
+    {file = "cffi-1.17.0-cp312-cp312-win_amd64.whl", hash = "sha256:dca802c8db0720ce1c49cce1149ff7b06e91ba15fa84b1d59144fef1a1bc7ac2"},
+    {file = "cffi-1.17.0.tar.gz", hash = "sha256:f3157624b7558b914cb039fd1af735e5e8049a87c817cc215109ad1c8779df76"},
 ]
 
 [[package]]
@@ -337,7 +318,6 @@ version = "3.4.0"
 requires_python = ">=3.8"
 summary = "Validate configuration and produce human readable error messages."
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
     {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
@@ -349,7 +329,6 @@ version = "1.6.4"
 requires_python = ">=3.8"
 summary = "Time-handling functionality from netcdf4-python"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "numpy>1.13.3; python_version < \"3.12.0.rc1\"",
     "numpy>=1.26.0b1; python_version >= \"3.12.0.rc1\"",
@@ -370,7 +349,6 @@ version = "3.3.2"
 requires_python = ">=3.7.0"
 summary = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
     {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"},
@@ -397,7 +375,6 @@ version = "8.1.7"
 requires_python = ">=3.7"
 summary = "Composable command line interface toolkit"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "colorama; platform_system == \"Windows\"",
     "importlib-metadata; python_version < \"3.8\"",
@@ -413,7 +390,6 @@ version = "1.2.4"
 requires_python = ">=2.7"
 summary = "click_default_group"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "click",
 ]
@@ -427,7 +403,6 @@ name = "click-plugins"
 version = "1.1.1"
 summary = "An extension module for click to enable registering CLI commands via setuptools entry-points."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "click>=4.0",
 ]
@@ -442,7 +417,6 @@ version = "0.7.2"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, <4"
 summary = "Click params for commmand line interfaces to GeoJSON"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "click>=4.0",
 ]
@@ -457,7 +431,6 @@ version = "0.6.2"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 summary = "CliKit is a group of utilities to build beautiful and testable command line interfaces."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "crashtest<0.4.0,>=0.3.0; python_version ~= \"3.6\"",
     "enum34<2.0,>=1.1; python_version >= \"2.7\" and python_version < \"2.8\"",
@@ -476,8 +449,7 @@ name = "colorama"
 version = "0.4.6"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 summary = "Cross-platform colored terminal text."
-groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
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 files = [
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 dependencies = [
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 summary = "Code coverage measurement for Python"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
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+    {file = "cryptography-43.0.0-cp39-abi3-win_amd64.whl", hash = "sha256:0663585d02f76929792470451a5ba64424acc3cd5227b03921dab0e2f27b1709"},
     {file = "cryptography-43.0.0.tar.gz", hash = "sha256:b88075ada2d51aa9f18283532c9f60e72170041bba88d7f37e49cbb10275299e"},
 ]
 
@@ -663,7 +637,6 @@ version = "0.12.1"
 requires_python = ">=3.8"
 summary = "Composable style cycles"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
     {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -671,18 +644,17 @@ files = [
 
 [[package]]
 name = "debugpy"
-version = "1.8.2"
+version = "1.8.5"
 requires_python = ">=3.8"
 summary = "An implementation of the Debug Adapter Protocol for Python"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
-    {file = "debugpy-1.8.2-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:5d3ccd39e4021f2eb86b8d748a96c766058b39443c1f18b2dc52c10ac2757835"},
-    {file = "debugpy-1.8.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:62658aefe289598680193ff655ff3940e2a601765259b123dc7f89c0239b8cd3"},
-    {file = "debugpy-1.8.2-cp312-cp312-win32.whl", hash = "sha256:bd11fe35d6fd3431f1546d94121322c0ac572e1bfb1f6be0e9b8655fb4ea941e"},
-    {file = "debugpy-1.8.2-cp312-cp312-win_amd64.whl", hash = "sha256:15bc2f4b0f5e99bf86c162c91a74c0631dbd9cef3c6a1d1329c946586255e859"},
-    {file = "debugpy-1.8.2-py2.py3-none-any.whl", hash = "sha256:16e16df3a98a35c63c3ab1e4d19be4cbc7fdda92d9ddc059294f18910928e0ca"},
-    {file = "debugpy-1.8.2.zip", hash = "sha256:95378ed08ed2089221896b9b3a8d021e642c24edc8fef20e5d4342ca8be65c00"},
+    {file = "debugpy-1.8.5-cp312-cp312-macosx_12_0_universal2.whl", hash = "sha256:5b5c770977c8ec6c40c60d6f58cacc7f7fe5a45960363d6974ddb9b62dbee156"},
+    {file = "debugpy-1.8.5-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0a65b00b7cdd2ee0c2cf4c7335fef31e15f1b7056c7fdbce9e90193e1a8c8cb"},
+    {file = "debugpy-1.8.5-cp312-cp312-win32.whl", hash = "sha256:c9f7c15ea1da18d2fcc2709e9f3d6de98b69a5b0fff1807fb80bc55f906691f7"},
+    {file = "debugpy-1.8.5-cp312-cp312-win_amd64.whl", hash = "sha256:28ced650c974aaf179231668a293ecd5c63c0a671ae6d56b8795ecc5d2f48d3c"},
+    {file = "debugpy-1.8.5-py2.py3-none-any.whl", hash = "sha256:55919dce65b471eff25901acf82d328bbd5b833526b6c1364bd5133754777a44"},
+    {file = "debugpy-1.8.5.zip", hash = "sha256:b2112cfeb34b4507399d298fe7023a16656fc553ed5246536060ca7bd0e668d0"},
 ]
 
 [[package]]
@@ -691,7 +663,6 @@ version = "5.1.1"
 requires_python = ">=3.5"
 summary = "Decorators for Humans"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
@@ -703,7 +674,6 @@ version = "0.7.1"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 summary = "XML bomb protection for Python stdlib modules"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
     {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
@@ -715,7 +685,6 @@ version = "0.4.4"
 requires_python = ">=3.8"
 summary = "Python dependency specifications supporting logical operations"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "packaging>=22",
 ]
@@ -730,7 +699,6 @@ version = "0.3.8"
 requires_python = ">=3.8"
 summary = "serialize all of Python"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
     {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"},
@@ -741,7 +709,6 @@ name = "distlib"
 version = "0.3.8"
 summary = "Distribution utilities"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
     {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
@@ -753,7 +720,6 @@ version = "1.4.4"
 requires_python = ">=3.7"
 summary = "Lightweight bootstrapper for a conda executable"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "appdirs",
     "click>=5.1",
@@ -772,7 +738,6 @@ version = "1.1.0"
 requires_python = ">=3.6"
 summary = "An implementation of lxml.xmlfile for the standard library"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "et_xmlfile-1.1.0-py3-none-any.whl", hash = "sha256:a2ba85d1d6a74ef63837eed693bcb89c3f752169b0e3e7ae5b16ca5e1b3deada"},
     {file = "et_xmlfile-1.1.0.tar.gz", hash = "sha256:8eb9e2bc2f8c97e37a2dc85a09ecdcdec9d8a396530a6d5a33b30b9a92da0c5c"},
@@ -784,7 +749,6 @@ version = "2.1.1"
 requires_python = ">=3.8"
 summary = "execnet: rapid multi-Python deployment"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "execnet-2.1.1-py3-none-any.whl", hash = "sha256:26dee51f1b80cebd6d0ca8e74dd8745419761d3bef34163928cbebbdc4749fdc"},
     {file = "execnet-2.1.1.tar.gz", hash = "sha256:5189b52c6121c24feae288166ab41b32549c7e2348652736540b9e6e7d4e72e3"},
@@ -792,14 +756,13 @@ files = [
 
 [[package]]
 name = "executing"
-version = "2.0.1"
-requires_python = ">=3.5"
+version = "2.1.0"
+requires_python = ">=3.8"
 summary = "Get the currently executing AST node of a frame, and other information"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
-    {file = "executing-2.0.1-py2.py3-none-any.whl", hash = "sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc"},
-    {file = "executing-2.0.1.tar.gz", hash = "sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147"},
+    {file = "executing-2.1.0-py2.py3-none-any.whl", hash = "sha256:8d63781349375b5ebccc3142f4b30350c0cd9c79f921cde38be2be4637e98eaf"},
+    {file = "executing-2.1.0.tar.gz", hash = "sha256:8ea27ddd260da8150fa5a708269c4a10e76161e2496ec3e587da9e3c0fe4b9ab"},
 ]
 
 [[package]]
@@ -807,7 +770,6 @@ name = "fastjsonschema"
 version = "2.20.0"
 summary = "Fastest Python implementation of JSON schema"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "fastjsonschema-2.20.0-py3-none-any.whl", hash = "sha256:5875f0b0fa7a0043a91e93a9b8f793bcbbba9691e7fd83dca95c28ba26d21f0a"},
     {file = "fastjsonschema-2.20.0.tar.gz", hash = "sha256:3d48fc5300ee96f5d116f10fe6f28d938e6008f59a6a025c2649475b87f76a23"},
@@ -819,7 +781,6 @@ version = "3.15.4"
 requires_python = ">=3.8"
 summary = "A platform independent file lock."
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "filelock-3.15.4-py3-none-any.whl", hash = "sha256:6ca1fffae96225dab4c6eaf1c4f4f28cd2568d3ec2a44e15a08520504de468e7"},
     {file = "filelock-3.15.4.tar.gz", hash = "sha256:2207938cbc1844345cb01a5a95524dae30f0ce089eba5b00378295a17e3e90cb"},
@@ -831,7 +792,6 @@ version = "0.6.1"
 requires_python = ">=3.8"
 summary = "A utility to find python versions on your system"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "packaging>=20",
 ]
@@ -846,7 +806,6 @@ version = "4.53.1"
 requires_python = ">=3.8"
 summary = "Tools to manipulate font files"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "fonttools-4.53.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:d92d3c2a1b39631a6131c2fa25b5406855f97969b068e7e08413325bc0afba58"},
     {file = "fonttools-4.53.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3b3c8ebafbee8d9002bd8f1195d09ed2bd9ff134ddec37ee8f6a6375e6a4f0e8"},
@@ -866,7 +825,6 @@ version = "1.5.1"
 requires_python = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
 summary = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "cached-property>=1.3.0; python_version < \"3.8\"",
 ]
@@ -881,7 +839,6 @@ version = "3.8.5"
 requires_python = ">=3.6.0"
 summary = "GDAL: Geospatial Data Abstraction Library"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "GDAL-3.8.5.tar.gz", hash = "sha256:ad8addd58ba9c62aefc7f65d345c168736798f137e5c8f247af76fcf4862d371"},
 ]
@@ -892,7 +849,6 @@ version = "1.0.1"
 requires_python = ">=3.9"
 summary = "Geographic pandas extensions"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "numpy>=1.22",
     "packaging",
@@ -912,7 +868,6 @@ version = "4.0.11"
 requires_python = ">=3.7"
 summary = "Git Object Database"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "smmap<6,>=3.0.1",
 ]
@@ -927,7 +882,6 @@ version = "3.1.43"
 requires_python = ">=3.7"
 summary = "GitPython is a Python library used to interact with Git repositories"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "gitdb<5,>=4.0.1",
     "typing-extensions>=3.7.4.3; python_version < \"3.8\"",
@@ -939,19 +893,17 @@ files = [
 
 [[package]]
 name = "griffe"
-version = "0.48.0"
+version = "1.2.0"
 requires_python = ">=3.8"
 summary = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "astunparse>=1.6; python_version < \"3.9\"",
-    "backports-strenum>=1.3; python_version < \"3.11\"",
     "colorama>=0.4",
 ]
 files = [
-    {file = "griffe-0.48.0-py3-none-any.whl", hash = "sha256:f944c6ff7bd31cf76f264adcd6ab8f3d00a2f972ae5cc8db2d7b6dcffeff65a2"},
-    {file = "griffe-0.48.0.tar.gz", hash = "sha256:f099461c02f016b6be4af386d5aa92b01fb4efe6c1c2c360dda9a5d0a863bb7f"},
+    {file = "griffe-1.2.0-py3-none-any.whl", hash = "sha256:a8b2fcb1ecdc5a412e646b0b4375eb20a5d2eac3a11dd8c10c56967a4097663c"},
+    {file = "griffe-1.2.0.tar.gz", hash = "sha256:1c9f6ef7455930f3f9b0c4145a961c90385d1e2cbc496f7796fbff560ec60d31"},
 ]
 
 [[package]]
@@ -960,7 +912,6 @@ version = "0.14.0"
 requires_python = ">=3.7"
 summary = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "typing-extensions; python_version < \"3.8\"",
 ]
@@ -975,7 +926,6 @@ version = "0.0.30"
 requires_python = ">=3.8"
 summary = "Persistent cache implementation for httpx and httpcore"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "httpx>=0.22.0",
     "typing-extensions>=4.8.0",
@@ -991,7 +941,6 @@ version = "1.1"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 summary = "HTML parser based on the WHATWG HTML specification"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "six>=1.9",
     "webencodings",
@@ -1007,7 +956,6 @@ version = "1.0.5"
 requires_python = ">=3.8"
 summary = "A minimal low-level HTTP client."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "certifi",
     "h11<0.15,>=0.13",
@@ -1019,11 +967,10 @@ files = [
 
 [[package]]
 name = "httpx"
-version = "0.27.0"
+version = "0.27.2"
 requires_python = ">=3.8"
 summary = "The next generation HTTP client."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "anyio",
     "certifi",
@@ -1032,25 +979,24 @@ dependencies = [
     "sniffio",
 ]
 files = [
-    {file = "httpx-0.27.0-py3-none-any.whl", hash = "sha256:71d5465162c13681bff01ad59b2cc68dd838ea1f10e51574bac27103f00c91a5"},
-    {file = "httpx-0.27.0.tar.gz", hash = "sha256:a0cb88a46f32dc874e04ee956e4c2764aba2aa228f650b06788ba6bda2962ab5"},
+    {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
+    {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
 ]
 
 [[package]]
 name = "httpx"
-version = "0.27.0"
+version = "0.27.2"
 extras = ["socks"]
 requires_python = ">=3.8"
 summary = "The next generation HTTP client."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
-    "httpx==0.27.0",
+    "httpx==0.27.2",
     "socksio==1.*",
 ]
 files = [
-    {file = "httpx-0.27.0-py3-none-any.whl", hash = "sha256:71d5465162c13681bff01ad59b2cc68dd838ea1f10e51574bac27103f00c91a5"},
-    {file = "httpx-0.27.0.tar.gz", hash = "sha256:a0cb88a46f32dc874e04ee956e4c2764aba2aa228f650b06788ba6bda2962ab5"},
+    {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
+    {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
 ]
 
 [[package]]
@@ -1059,7 +1005,6 @@ version = "2.6.0"
 requires_python = ">=3.8"
 summary = "File identification library for Python"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "identify-2.6.0-py2.py3-none-any.whl", hash = "sha256:e79ae4406387a9d300332b5fd366d8994f1525e8414984e1a59e058b2eda2dd0"},
     {file = "identify-2.6.0.tar.gz", hash = "sha256:cb171c685bdc31bcc4c1734698736a7d5b6c8bf2e0c15117f4d469c8640ae5cf"},
@@ -1067,45 +1012,42 @@ files = [
 
 [[package]]
 name = "idna"
-version = "3.7"
-requires_python = ">=3.5"
+version = "3.8"
+requires_python = ">=3.6"
 summary = "Internationalized Domain Names in Applications (IDNA)"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
-    {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"},
-    {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
+    {file = "idna-3.8-py3-none-any.whl", hash = "sha256:050b4e5baadcd44d760cedbd2b8e639f2ff89bbc7a5730fcc662954303377aac"},
+    {file = "idna-3.8.tar.gz", hash = "sha256:d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"},
 ]
 
 [[package]]
 name = "importlib-metadata"
-version = "8.0.0"
+version = "8.4.0"
 requires_python = ">=3.8"
 summary = "Read metadata from Python packages"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "typing-extensions>=3.6.4; python_version < \"3.8\"",
     "zipp>=0.5",
 ]
 files = [
-    {file = "importlib_metadata-8.0.0-py3-none-any.whl", hash = "sha256:15584cf2b1bf449d98ff8a6ff1abef57bf20f3ac6454f431736cd3e660921b2f"},
-    {file = "importlib_metadata-8.0.0.tar.gz", hash = "sha256:188bd24e4c346d3f0a933f275c2fec67050326a856b9a359881d7c2a697e8812"},
+    {file = "importlib_metadata-8.4.0-py3-none-any.whl", hash = "sha256:66f342cc6ac9818fc6ff340576acd24d65ba0b3efabb2b4ac08b598965a4a2f1"},
+    {file = "importlib_metadata-8.4.0.tar.gz", hash = "sha256:9a547d3bc3608b025f93d403fdd1aae741c24fbb8314df4b155675742ce303c5"},
 ]
 
 [[package]]
 name = "importlib-resources"
-version = "6.4.0"
+version = "6.4.4"
 requires_python = ">=3.8"
 summary = "Read resources from Python packages"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "zipp>=3.1.0; python_version < \"3.10\"",
 ]
 files = [
-    {file = "importlib_resources-6.4.0-py3-none-any.whl", hash = "sha256:50d10f043df931902d4194ea07ec57960f66a80449ff867bfe782b4c486ba78c"},
-    {file = "importlib_resources-6.4.0.tar.gz", hash = "sha256:cdb2b453b8046ca4e3798eb1d84f3cce1446a0e8e7b5ef4efb600f19fc398145"},
+    {file = "importlib_resources-6.4.4-py3-none-any.whl", hash = "sha256:dda242603d1c9cd836c3368b1174ed74cb4049ecd209e7a1a0104620c18c5c11"},
+    {file = "importlib_resources-6.4.4.tar.gz", hash = "sha256:20600c8b7361938dc0bb2d5ec0297802e575df486f5a544fa414da65e13721f7"},
 ]
 
 [[package]]
@@ -1114,7 +1056,6 @@ version = "2.0.0"
 requires_python = ">=3.7"
 summary = "brain-dead simple config-ini parsing"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
@@ -1126,7 +1067,6 @@ version = "0.7.0"
 requires_python = ">=3.7"
 summary = "A library for installing Python wheels."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "installer-0.7.0-py3-none-any.whl", hash = "sha256:05d1933f0a5ba7d8d6296bb6d5018e7c94fa473ceb10cf198a92ccea19c27b53"},
     {file = "installer-0.7.0.tar.gz", hash = "sha256:a26d3e3116289bb08216e0d0f7d925fcef0b0194eedfa0c944bcaaa106c4b631"},
@@ -1138,7 +1078,6 @@ version = "6.29.5"
 requires_python = ">=3.8"
 summary = "IPython Kernel for Jupyter"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "appnope; platform_system == \"Darwin\"",
     "comm>=0.1.1",
@@ -1161,11 +1100,10 @@ files = [
 
 [[package]]
 name = "ipython"
-version = "8.26.0"
+version = "8.27.0"
 requires_python = ">=3.10"
 summary = "IPython: Productive Interactive Computing"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "colorama; sys_platform == \"win32\"",
     "decorator",
@@ -1180,8 +1118,8 @@ dependencies = [
     "typing-extensions>=4.6; python_version < \"3.12\"",
 ]
 files = [
-    {file = "ipython-8.26.0-py3-none-any.whl", hash = "sha256:e6b347c27bdf9c32ee9d31ae85defc525755a1869f14057e900675b9e8d6e6ff"},
-    {file = "ipython-8.26.0.tar.gz", hash = "sha256:1cec0fbba8404af13facebe83d04436a7434c7400e59f47acf467c64abd0956c"},
+    {file = "ipython-8.27.0-py3-none-any.whl", hash = "sha256:f68b3cb8bde357a5d7adc9598d57e22a45dfbea19eb6b98286fa3b288c9cd55c"},
+    {file = "ipython-8.27.0.tar.gz", hash = "sha256:0b99a2dc9f15fd68692e898e5568725c6d49c527d36a9fb5960ffbdeaa82ff7e"},
 ]
 
 [[package]]
@@ -1190,7 +1128,6 @@ version = "20.11.0"
 requires_python = ">=3.7"
 summary = "Operations with ISO 8601 durations"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "arrow>=0.15.0",
 ]
@@ -1205,7 +1142,6 @@ version = "3.4.0"
 requires_python = ">=3.8"
 summary = "Utility functions for Python class constructs"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "more-itertools",
 ]
@@ -1216,32 +1152,30 @@ files = [
 
 [[package]]
 name = "jaraco-context"
-version = "5.3.0"
+version = "6.0.1"
 requires_python = ">=3.8"
 summary = "Useful decorators and context managers"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "backports-tarfile; python_version < \"3.12\"",
 ]
 files = [
-    {file = "jaraco.context-5.3.0-py3-none-any.whl", hash = "sha256:3e16388f7da43d384a1a7cd3452e72e14732ac9fe459678773a3608a812bf266"},
-    {file = "jaraco.context-5.3.0.tar.gz", hash = "sha256:c2f67165ce1f9be20f32f650f25d8edfc1646a8aeee48ae06fb35f90763576d2"},
+    {file = "jaraco.context-6.0.1-py3-none-any.whl", hash = "sha256:f797fc481b490edb305122c9181830a3a5b76d84ef6d1aef2fb9b47ab956f9e4"},
+    {file = "jaraco_context-6.0.1.tar.gz", hash = "sha256:9bae4ea555cf0b14938dc0aee7c9f32ed303aa20a3b73e7dc80111628792d1b3"},
 ]
 
 [[package]]
 name = "jaraco-functools"
-version = "4.0.1"
+version = "4.0.2"
 requires_python = ">=3.8"
 summary = "Functools like those found in stdlib"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "more-itertools",
 ]
 files = [
-    {file = "jaraco.functools-4.0.1-py3-none-any.whl", hash = "sha256:3b24ccb921d6b593bdceb56ce14799204f473976e2a9d4b15b04d0f2c2326664"},
-    {file = "jaraco_functools-4.0.1.tar.gz", hash = "sha256:d33fa765374c0611b52f8b3a795f8900869aa88c84769d4d1746cd68fb28c3e8"},
+    {file = "jaraco.functools-4.0.2-py3-none-any.whl", hash = "sha256:c9d16a3ed4ccb5a889ad8e0b7a343401ee5b2a71cee6ed192d3f68bc351e94e3"},
+    {file = "jaraco_functools-4.0.2.tar.gz", hash = "sha256:3460c74cd0d32bf82b9576bbb3527c4364d5b27a21f5158a62aed6c4b42e23f5"},
 ]
 
 [[package]]
@@ -1250,7 +1184,6 @@ version = "0.19.1"
 requires_python = ">=3.6"
 summary = "An autocompletion tool for Python that can be used for text editors."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "parso<0.9.0,>=0.8.3",
 ]
@@ -1265,7 +1198,7 @@ version = "0.8.0"
 requires_python = ">=3.7"
 summary = "Low-level, pure Python DBus protocol wrapper."
 groups = ["default"]
-marker = "sys_platform == \"linux\" and python_full_version == \"3.12.4\""
+marker = "sys_platform == \"linux\""
 files = [
     {file = "jeepney-0.8.0-py3-none-any.whl", hash = "sha256:c0a454ad016ca575060802ee4d590dd912e35c122fa04e70306de3d076cce755"},
     {file = "jeepney-0.8.0.tar.gz", hash = "sha256:5efe48d255973902f6badc3ce55e2aa6c5c3b3bc642059ef3a91247bcfcc5806"},
@@ -1277,7 +1210,6 @@ version = "3.1.4"
 requires_python = ">=3.7"
 summary = "A very fast and expressive template engine."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "MarkupSafe>=2.0",
 ]
@@ -1292,7 +1224,6 @@ version = "0.9.25"
 requires_python = ">=3.8"
 summary = "A Python implementation of the JSON5 data format."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "json5-0.9.25-py3-none-any.whl", hash = "sha256:34ed7d834b1341a86987ed52f3f76cd8ee184394906b6e22a1e0deb9ab294e8f"},
     {file = "json5-0.9.25.tar.gz", hash = "sha256:548e41b9be043f9426776f05df8635a00fe06104ea51ed24b67f908856e151ae"},
@@ -1304,7 +1235,6 @@ version = "3.0.0"
 requires_python = ">=3.7"
 summary = "Identify specific nodes in a JSON document (RFC 6901) "
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
@@ -1316,7 +1246,6 @@ version = "4.23.0"
 requires_python = ">=3.8"
 summary = "An implementation of JSON Schema validation for Python"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "attrs>=22.2.0",
     "importlib-resources>=1.4.0; python_version < \"3.9\"",
@@ -1336,7 +1265,6 @@ version = "2023.12.1"
 requires_python = ">=3.8"
 summary = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "importlib-resources>=1.4.0; python_version < \"3.9\"",
     "referencing>=0.31.0",
@@ -1353,7 +1281,6 @@ extras = ["format-nongpl"]
 requires_python = ">=3.8"
 summary = "An implementation of JSON Schema validation for Python"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "fqdn",
     "idna",
@@ -1376,7 +1303,6 @@ version = "8.6.2"
 requires_python = ">=3.8"
 summary = "Jupyter protocol implementation and client libraries"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "importlib-metadata>=4.8.3; python_version < \"3.10\"",
     "jupyter-core!=5.0.*,>=4.12",
@@ -1396,7 +1322,6 @@ version = "5.7.2"
 requires_python = ">=3.8"
 summary = "Jupyter core package. A base package on which Jupyter projects rely."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "platformdirs>=2.5",
     "pywin32>=300; sys_platform == \"win32\" and platform_python_implementation != \"PyPy\"",
@@ -1413,7 +1338,6 @@ version = "0.10.0"
 requires_python = ">=3.8"
 summary = "Jupyter Event System library"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "jsonschema[format-nongpl]>=4.18.0",
     "python-json-logger>=2.0.4",
@@ -1434,7 +1358,6 @@ version = "2.2.5"
 requires_python = ">=3.8"
 summary = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "importlib-metadata>=4.8.3; python_version < \"3.10\"",
     "jupyter-server>=1.1.2",
@@ -1450,7 +1373,6 @@ version = "2.14.2"
 requires_python = ">=3.8"
 summary = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "anyio>=3.1.0",
     "argon2-cffi>=21.1",
@@ -1483,7 +1405,6 @@ version = "0.5.3"
 requires_python = ">=3.8"
 summary = "A Jupyter Server Extension Providing Terminals."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "pywinpty>=2.0.3; os_name == \"nt\"",
     "terminado>=0.8.3",
@@ -1499,7 +1420,6 @@ version = "4.2.5"
 requires_python = ">=3.8"
 summary = "JupyterLab computational environment"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "async-lru>=1.0.0",
     "httpx>=0.25.0",
@@ -1529,7 +1449,6 @@ version = "0.3.0"
 requires_python = ">=3.8"
 summary = "Pygments theme using JupyterLab CSS variables"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -1541,7 +1460,6 @@ version = "2.27.3"
 requires_python = ">=3.8"
 summary = "A set of server components for JupyterLab and JupyterLab like applications."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "babel>=2.10",
     "importlib-metadata>=4.8.3; python_version < \"3.10\"",
@@ -1559,11 +1477,10 @@ files = [
 
 [[package]]
 name = "keyring"
-version = "25.2.1"
+version = "25.3.0"
 requires_python = ">=3.8"
 summary = "Store and access your passwords safely."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "SecretStorage>=3.2; sys_platform == \"linux\"",
     "importlib-metadata>=4.11.4; python_version < \"3.12\"",
@@ -1575,52 +1492,34 @@ dependencies = [
     "pywin32-ctypes>=0.2.0; sys_platform == \"win32\"",
 ]
 files = [
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+    {file = "keyring-25.3.0-py3-none-any.whl", hash = "sha256:8d963da00ccdf06e356acd9bf3b743208878751032d8599c6cc89eb51310ffae"},
+    {file = "keyring-25.3.0.tar.gz", hash = "sha256:8d85a1ea5d6db8515b59e1c5d1d1678b03cf7fc8b8dcfb1651e8c4a524eb42ef"},
 ]
 
 [[package]]
 name = "kiwisolver"
-version = "1.4.5"
-requires_python = ">=3.7"
+version = "1.4.6"
+requires_python = ">=3.8"
 summary = "A fast implementation of the Cassowary constraint solver"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
-dependencies = [
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 [[package]]
@@ -1629,7 +1528,6 @@ version = "3.0.0"
 requires_python = ">=3.8"
 summary = "Python port of markdown-it. Markdown parsing, done right!"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "mdurl~=0.1",
 ]
@@ -1644,7 +1542,6 @@ version = "2.1.5"
 requires_python = ">=3.7"
 summary = "Safely add untrusted strings to HTML/XML markup."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -1665,7 +1562,6 @@ version = "3.8.4"
 requires_python = ">=3.9"
 summary = "Python plotting package"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "contourpy>=1.0.1",
     "cycler>=0.10",
@@ -1679,7 +1575,12 @@ dependencies = [
     "python-dateutil>=2.7",
 ]
 files = [
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 ]
 
@@ -1689,7 +1590,6 @@ version = "0.1.7"
 requires_python = ">=3.8"
 summary = "Inline Matplotlib backend for Jupyter"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "traitlets",
 ]
@@ -1704,7 +1604,6 @@ version = "0.1.2"
 requires_python = ">=3.7"
 summary = "Markdown URL utilities"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -1716,7 +1615,6 @@ version = "3.0.2"
 requires_python = ">=3.7"
 summary = "A sane and fast Markdown parser with useful plugins and renderers"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -1724,14 +1622,13 @@ files = [
 
 [[package]]
 name = "more-itertools"
-version = "10.3.0"
+version = "10.4.0"
 requires_python = ">=3.8"
 summary = "More routines for operating on iterables, beyond itertools"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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 ]
 
 [[package]]
@@ -1740,7 +1637,6 @@ version = "1.0.8"
 requires_python = ">=3.8"
 summary = "MessagePack serializer"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -1762,7 +1658,6 @@ version = "0.10.0"
 requires_python = ">=3.8.0"
 summary = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
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     "jupyter-core!=5.0.*,>=4.12",
@@ -1780,7 +1675,6 @@ version = "7.16.4"
 requires_python = ">=3.8"
 summary = "Converting Jupyter Notebooks (.ipynb files) to other formats.  Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script.  nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "beautifulsoup4",
     "bleach!=5.0.0",
@@ -1810,7 +1704,6 @@ version = "5.10.4"
 requires_python = ">=3.8"
 summary = "The Jupyter Notebook format"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "fastjsonschema>=2.15",
     "jsonschema>=2.6",
@@ -1828,7 +1721,6 @@ version = "1.6.0"
 requires_python = ">=3.5"
 summary = "Patch asyncio to allow nested event loops"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
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@@ -1840,14 +1732,17 @@ version = "1.7.1.post2"
 requires_python = ">=3.8"
 summary = "Provides an object-oriented python interface to the netCDF version 4 library"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "certifi",
     "cftime",
     "numpy",
 ]
 files = [
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 ]
 
@@ -1857,7 +1752,6 @@ version = "1.9.1"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 summary = "Node.js virtual environment builder"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -1869,7 +1763,6 @@ version = "0.2.4"
 requires_python = ">=3.7"
 summary = "A shim layer for notebook traits and config"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
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 ]
@@ -1880,14 +1773,22 @@ files = [
 
 [[package]]
 name = "numpy"
-version = "1.26.4"
-requires_python = ">=3.9"
+version = "2.1.1"
+requires_python = ">=3.10"
 summary = "Fundamental package for array computing in Python"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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 ]
 
 [[package]]
@@ -1896,7 +1797,6 @@ version = "3.1.5"
 requires_python = ">=3.8"
 summary = "A Python library to read/write Excel 2010 xlsx/xlsm files"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
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 ]
@@ -1911,7 +1811,6 @@ version = "7.7.0"
 requires_python = ">=3.6"
 summary = "A decorator to automatically detect mismatch when overriding a method."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "typing; python_version < \"3.5\"",
 ]
@@ -1926,7 +1825,6 @@ version = "24.1"
 requires_python = ">=3.8"
 summary = "Core utilities for Python packages"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -1938,7 +1836,6 @@ version = "2.2.2"
 requires_python = ">=3.9"
 summary = "Powerful data structures for data analysis, time series, and statistics"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "numpy>=1.22.4; python_version < \"3.11\"",
     "numpy>=1.23.2; python_version == \"3.11\"",
@@ -1964,7 +1861,6 @@ version = "1.5.1"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 summary = "Utilities for writing pandoc filters in python"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -1976,7 +1872,6 @@ version = "0.8.4"
 requires_python = ">=3.6"
 summary = "A Python Parser"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -1988,7 +1883,6 @@ version = "0.2.1"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 summary = "Bring colors to your terminal."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -1996,14 +1890,13 @@ files = [
 
 [[package]]
 name = "pbs-installer"
-version = "2024.4.24"
+version = "2024.8.14"
 requires_python = ">=3.8"
 summary = "Installer for Python Build Standalone"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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 ]
 
 [[package]]
@@ -2012,7 +1905,6 @@ version = "2.18.1"
 requires_python = ">=3.8"
 summary = "A modern Python package and dependency manager supporting the latest PEP standards"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "blinker",
     "dep-logic>=0.4.4",
@@ -2048,7 +1940,7 @@ name = "pexpect"
 version = "4.9.0"
 summary = "Pexpect allows easy control of interactive console applications."
 groups = ["default"]
-marker = "(sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_full_version == \"3.12.4\""
+marker = "sys_platform != \"win32\" and sys_platform != \"emscripten\""
 dependencies = [
     "ptyprocess>=0.5",
 ]
@@ -2063,7 +1955,6 @@ version = "10.4.0"
 requires_python = ">=3.8"
 summary = "Python Imaging Library (Fork)"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -2076,20 +1967,6 @@ files = [
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 ]
 
@@ -2099,7 +1976,6 @@ version = "1.11.1"
 requires_python = ">=3.8"
 summary = "Query metadata from sdists / bdists / installed packages."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pkginfo-1.11.1-py3-none-any.whl", hash = "sha256:bfa76a714fdfc18a045fcd684dbfc3816b603d9d075febef17cb6582bea29573"},
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@@ -2111,7 +1987,6 @@ version = "4.2.2"
 requires_python = ">=3.8"
 summary = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"},
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@@ -2123,7 +1998,6 @@ version = "1.5.0"
 requires_python = ">=3.8"
 summary = "plugin and hook calling mechanisms for python"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -2135,7 +2009,7 @@ version = "2.5.2"
 requires_python = ">=3.8"
 summary = "Multiple dispatch in Python"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
+marker = "python_version >= \"3.10\""
 dependencies = [
     "beartype>=0.16.2",
     "rich>=10.0",
@@ -2152,7 +2026,6 @@ version = "3.8.0"
 requires_python = ">=3.9"
 summary = "A framework for managing and maintaining multi-language pre-commit hooks."
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "cfgv>=2.0.0",
     "identify>=1.0.0",
@@ -2171,7 +2044,6 @@ version = "0.20.0"
 requires_python = ">=3.8"
 summary = "Python client for the Prometheus monitoring system."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "prometheus_client-0.20.0-py3-none-any.whl", hash = "sha256:cde524a85bce83ca359cc837f28b8c0db5cac7aa653a588fd7e84ba061c329e7"},
     {file = "prometheus_client-0.20.0.tar.gz", hash = "sha256:287629d00b147a32dcb2be0b9df905da599b2d82f80377083ec8463309a4bb89"},
@@ -2183,7 +2055,6 @@ version = "3.0.47"
 requires_python = ">=3.7.0"
 summary = "Library for building powerful interactive command lines in Python"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "wcwidth",
 ]
@@ -2198,7 +2069,6 @@ version = "6.0.0"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 summary = "Cross-platform lib for process and system monitoring in Python."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -2215,7 +2085,7 @@ name = "ptyprocess"
 version = "0.7.0"
 summary = "Run a subprocess in a pseudo terminal"
 groups = ["default"]
-marker = "(sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_full_version == \"3.12.4\" or os_name != \"nt\" and python_full_version == \"3.12.4\""
+marker = "sys_platform != \"win32\" and sys_platform != \"emscripten\" or os_name != \"nt\""
 files = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
     {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
@@ -2223,13 +2093,12 @@ files = [
 
 [[package]]
 name = "pure-eval"
-version = "0.2.2"
+version = "0.2.3"
 summary = "Safely evaluate AST nodes without side effects"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
-    {file = "pure_eval-0.2.2-py3-none-any.whl", hash = "sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350"},
-    {file = "pure_eval-0.2.2.tar.gz", hash = "sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3"},
+    {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"},
+    {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"},
 ]
 
 [[package]]
@@ -2238,7 +2107,6 @@ version = "2.22"
 requires_python = ">=3.8"
 summary = "C parser in Python"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -2250,7 +2118,6 @@ version = "2.8.2"
 requires_python = ">=3.8"
 summary = "Data validation using Python type hints"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "annotated-types>=0.4.0",
     "pydantic-core==2.20.1",
@@ -2268,7 +2135,6 @@ version = "2.20.1"
 requires_python = ">=3.8"
 summary = "Core functionality for Pydantic validation and serialization"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "typing-extensions!=4.7.0,>=4.6.0",
 ]
@@ -2285,22 +2151,6 @@ files = [
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 ]
 
@@ -2310,7 +2160,6 @@ version = "2.18.0"
 requires_python = ">=3.8"
 summary = "Pygments is a syntax highlighting package written in Python."
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -2321,7 +2170,6 @@ name = "pylev"
 version = "1.4.0"
 summary = "A pure Python Levenshtein implementation that's not freaking GPL'd."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -2333,7 +2181,6 @@ version = "0.9.0"
 requires_python = ">=3.8"
 summary = "Vectorized spatial vector file format I/O using GDAL/OGR"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "certifi",
     "numpy",
@@ -2350,14 +2197,13 @@ files = [
 
 [[package]]
 name = "pyparsing"
-version = "3.1.2"
+version = "3.1.4"
 requires_python = ">=3.6.8"
 summary = "pyparsing module - Classes and methods to define and execute parsing grammars"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
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@@ -2366,7 +2212,6 @@ version = "3.6.1"
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 summary = "Python interface to PROJ (cartographic projections and coordinate transformations library)"
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-marker = "python_full_version == \"3.12.4\""
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@@ -2388,7 +2231,6 @@ version = "1.1.0"
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 summary = "Wrappers to call pyproject.toml-based build backend hooks."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
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@@ -2396,11 +2238,10 @@ files = [
 
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 summary = "pytest: simple powerful testing with Python"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
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@@ -2410,8 +2251,8 @@ dependencies = [
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 [[package]]
@@ -2420,7 +2261,6 @@ version = "4.1.0"
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 groups = ["dev"]
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@@ -2435,7 +2275,6 @@ name = "pytest-sugar"
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-marker = "python_full_version == \"3.12.4\""
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@@ -2452,7 +2291,6 @@ version = "3.6.1"
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 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
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@@ -2483,7 +2320,6 @@ version = "1.0.1"
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@@ -2495,7 +2331,6 @@ version = "2.0.7"
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@@ -2506,75 +2341,89 @@ name = "pytz"
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 ]
 
 [[package]]
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 requires_python = ">=3.7"
 summary = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "ruamel-yaml-clib>=0.2.7; platform_python_implementation == \"CPython\" and python_version < \"3.13\"",
 ]
@@ -2814,7 +2621,7 @@ version = "0.2.8"
 requires_python = ">=3.6"
 summary = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml"
 groups = ["default"]
-marker = "platform_python_implementation == \"CPython\" and python_full_version == \"3.12.4\""
+marker = "platform_python_implementation == \"CPython\" and python_version < \"3.13\""
 files = [
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@@ -2833,12 +2640,16 @@ version = "1.13.1"
 requires_python = ">=3.9"
 summary = "Fundamental algorithms for scientific computing in Python"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "numpy<2.3,>=1.22.4",
 ]
 files = [
+    {file = "scipy-1.13.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5d72782f39716b2b3509cd7c33cdc08c96f2f4d2b06d51e52fb45a19ca0c86a1"},
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 ]
 
@@ -2848,7 +2659,6 @@ version = "0.13.2"
 requires_python = ">=3.8"
 summary = "Statistical data visualization"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "matplotlib!=3.6.1,>=3.4",
     "numpy!=1.24.0,>=1.20",
@@ -2865,7 +2675,7 @@ version = "3.3.3"
 requires_python = ">=3.6"
 summary = "Python bindings to FreeDesktop.org Secret Service API"
 groups = ["default"]
-marker = "sys_platform == \"linux\" and python_full_version == \"3.12.4\""
+marker = "sys_platform == \"linux\""
 dependencies = [
     "cryptography>=2.0",
     "jeepney>=0.6",
@@ -2881,7 +2691,6 @@ version = "1.8.3"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 summary = "Send file to trash natively under Mac OS X, Windows and Linux"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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     {file = "Send2Trash-1.8.3.tar.gz", hash = "sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf"},
@@ -2889,34 +2698,32 @@ files = [
 
 [[package]]
 name = "setuptools"
-version = "71.0.4"
+version = "74.1.1"
 requires_python = ">=3.8"
 summary = "Easily download, build, install, upgrade, and uninstall Python packages"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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+    {file = "setuptools-74.1.1.tar.gz", hash = "sha256:2353af060c06388be1cecbf5953dcdb1f38362f87a2356c480b6b4d5fcfc8847"},
 ]
 
 [[package]]
 name = "shapely"
-version = "2.0.5"
+version = "2.0.6"
 requires_python = ">=3.7"
 summary = "Manipulation and analysis of geometric objects"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "numpy<3,>=1.14",
 ]
 files = [
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+    {file = "shapely-2.0.6-cp312-cp312-win32.whl", hash = "sha256:42fd4cd4834747e4990227e4cbafb02242c0cffe9ce7ef9971f53ac52d80d55f"},
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+    {file = "shapely-2.0.6.tar.gz", hash = "sha256:997f6159b1484059ec239cacaa53467fd8b5564dabe186cd84ac2944663b0bf6"},
 ]
 
 [[package]]
@@ -2925,7 +2732,6 @@ version = "1.5.4"
 requires_python = ">=3.7"
 summary = "Tool to Detect Surrounding Shell"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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     {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
@@ -2937,7 +2743,6 @@ version = "1.16.0"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 summary = "Python 2 and 3 compatibility utilities"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
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@@ -2949,7 +2754,6 @@ version = "5.0.1"
 requires_python = ">=3.7"
 summary = "A pure Python implementation of a sliding window memory map manager"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -2961,34 +2765,17 @@ version = "1.3.1"
 requires_python = ">=3.7"
 summary = "Sniff out which async library your code is running under"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
 ]
 
-[[package]]
-name = "snuggs"
-version = "1.4.7"
-summary = "Snuggs are s-expressions for Numpy"
-groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
-dependencies = [
-    "numpy",
-    "pyparsing>=2.1.6",
-]
-files = [
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-    {file = "snuggs-1.4.7.tar.gz", hash = "sha256:501cf113fe3892e14e2fee76da5cd0606b7e149c411c271898e6259ebde2617b"},
-]
-
 [[package]]
 name = "socksio"
 version = "1.0.0"
 requires_python = ">=3.6"
 summary = "Sans-I/O implementation of SOCKS4, SOCKS4A, and SOCKS5."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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@@ -2996,14 +2783,13 @@ files = [
 
 [[package]]
 name = "soupsieve"
-version = "2.5"
+version = "2.6"
 requires_python = ">=3.8"
 summary = "A modern CSS selector implementation for Beautiful Soup."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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-    {file = "soupsieve-2.5.tar.gz", hash = "sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690"},
+    {file = "soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9"},
+    {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"},
 ]
 
 [[package]]
@@ -3012,7 +2798,6 @@ version = "2.3.1.1"
 requires_python = ">=3.8"
 summary = "Sphinx objects.inv Inspection/Manipulation Tool"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "attrs>=19.2",
     "certifi",
@@ -3028,7 +2813,6 @@ name = "stack-data"
 version = "0.6.3"
 summary = "Extract data from python stack frames and tracebacks for informative displays"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "asttokens>=2.1.0",
     "executing>=1.2.0",
@@ -3045,7 +2829,6 @@ version = "1.1.1"
 requires_python = ">=3.6,<4.0"
 summary = "Simple and safe python wrapper for calling system rsync"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "toml<0.11.0,>=0.10.0",
 ]
@@ -3060,7 +2843,6 @@ version = "0.9.0"
 requires_python = ">=3.7"
 summary = "Pretty-print tabular data"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -3072,7 +2854,6 @@ version = "2.4.0"
 requires_python = ">=3.8"
 summary = "ANSI color formatting for output in terminal"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "termcolor-2.4.0-py3-none-any.whl", hash = "sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63"},
     {file = "termcolor-2.4.0.tar.gz", hash = "sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a"},
@@ -3084,7 +2865,6 @@ version = "0.18.1"
 requires_python = ">=3.8"
 summary = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "ptyprocess; os_name != \"nt\"",
     "pywinpty>=1.1.0; os_name == \"nt\"",
@@ -3101,7 +2881,6 @@ version = "1.3.0"
 requires_python = ">=3.8"
 summary = "A tiny CSS parser"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "webencodings>=0.4",
 ]
@@ -3116,7 +2895,6 @@ version = "0.10.2"
 requires_python = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 summary = "Python Library for Tom's Obvious, Minimal Language"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
@@ -3124,14 +2902,13 @@ files = [
 
 [[package]]
 name = "tomlkit"
-version = "0.13.0"
+version = "0.13.2"
 requires_python = ">=3.8"
 summary = "Style preserving TOML library"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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-    {file = "tomlkit-0.13.0.tar.gz", hash = "sha256:08ad192699734149f5b97b45f1f18dad7eb1b6d16bc72ad0c2335772650d7b72"},
+    {file = "tomlkit-0.13.2-py3-none-any.whl", hash = "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde"},
+    {file = "tomlkit-0.13.2.tar.gz", hash = "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"},
 ]
 
 [[package]]
@@ -3140,7 +2917,6 @@ version = "0.12.1"
 requires_python = ">=3.7"
 summary = "List processing tools and functional utilities"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
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     {file = "toolz-0.12.1.tar.gz", hash = "sha256:ecca342664893f177a13dac0e6b41cbd8ac25a358e5f215316d43e2100224f4d"},
@@ -3152,7 +2928,6 @@ version = "6.4.1"
 requires_python = ">=3.8"
 summary = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:163b0aafc8e23d8cdc3c9dfb24c5368af84a81e3364745ccb4427669bf84aec8"},
     {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:6d5ce3437e18a2b66fbadb183c1d3364fb03f2be71299e7d10dbeeb69f4b2a14"},
@@ -3173,7 +2948,6 @@ version = "4.66.5"
 requires_python = ">=3.7"
 summary = "Fast, Extensible Progress Meter"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "colorama; platform_system == \"Windows\"",
 ]
@@ -3188,7 +2962,6 @@ version = "5.14.3"
 requires_python = ">=3.8"
 summary = "Traitlets Python configuration system"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
     {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
@@ -3196,14 +2969,14 @@ files = [
 
 [[package]]
 name = "truststore"
-version = "0.9.1"
+version = "0.9.2"
 requires_python = ">=3.10"
 summary = "Verify certificates using native system trust stores"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
+marker = "python_version >= \"3.10\""
 files = [
-    {file = "truststore-0.9.1-py3-none-any.whl", hash = "sha256:7f5b447d68318d966428131fc1c00442cca3a2d581a3986143558f007efba0b4"},
-    {file = "truststore-0.9.1.tar.gz", hash = "sha256:8f7312d70cc33e9003b748a80a04ead1fcb2ed856a7c6c9ca5a02482901a90be"},
+    {file = "truststore-0.9.2-py3-none-any.whl", hash = "sha256:04559916f8810cc1a5ecc41f215eddc988746067b754fc0995da7a2ceaf54735"},
+    {file = "truststore-0.9.2.tar.gz", hash = "sha256:a1dee0d0575ff22d2875476343783a5d64575419974e228f3248772613c3d993"},
 ]
 
 [[package]]
@@ -3212,7 +2985,6 @@ version = "0.12.5"
 requires_python = ">=3.7"
 summary = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "click>=8.0.0",
     "rich>=10.11.0",
@@ -3226,14 +2998,13 @@ files = [
 
 [[package]]
 name = "types-python-dateutil"
-version = "2.9.0.20240316"
+version = "2.9.0.20240821"
 requires_python = ">=3.8"
 summary = "Typing stubs for python-dateutil"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
-    {file = "types-python-dateutil-2.9.0.20240316.tar.gz", hash = "sha256:5d2f2e240b86905e40944dd787db6da9263f0deabef1076ddaed797351ec0202"},
-    {file = "types_python_dateutil-2.9.0.20240316-py3-none-any.whl", hash = "sha256:6b8cb66d960771ce5ff974e9dd45e38facb81718cc1e208b10b1baccbfdbee3b"},
+    {file = "types-python-dateutil-2.9.0.20240821.tar.gz", hash = "sha256:9649d1dcb6fef1046fb18bebe9ea2aa0028b160918518c34589a46045f6ebd98"},
+    {file = "types_python_dateutil-2.9.0.20240821-py3-none-any.whl", hash = "sha256:f5889fcb4e63ed4aaa379b44f93c32593d50b9a94c9a60a0c854d8cc3511cd57"},
 ]
 
 [[package]]
@@ -3242,7 +3013,6 @@ version = "4.12.2"
 requires_python = ">=3.8"
 summary = "Backported and Experimental Type Hints for Python 3.8+"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
@@ -3254,7 +3024,6 @@ version = "2024.1"
 requires_python = ">=2"
 summary = "Provider of IANA time zone data"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
     {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
@@ -3266,7 +3035,6 @@ version = "0.17.2"
 requires_python = ">=3.8"
 summary = "A utility to fetch and download python packages"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "httpx<1,>=0.27.0",
     "packaging>=20",
@@ -3282,7 +3050,6 @@ version = "1.3.0"
 requires_python = ">=3.7"
 summary = "RFC 6570 URI Template Processor"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"},
     {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"},
@@ -3290,14 +3057,13 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "1.26.19"
+version = "1.26.20"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 summary = "HTTP library with thread-safe connection pooling, file post, and more."
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
-    {file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"},
-    {file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"},
+    {file = "urllib3-1.26.20-py2.py3-none-any.whl", hash = "sha256:0ed14ccfbf1c30a9072c7ca157e4319b70d65f623e91e7b32fadb2853431016e"},
+    {file = "urllib3-1.26.20.tar.gz", hash = "sha256:40c2dc0c681e47eb8f90e7e27bf6ff7df2e677421fd46756da1161c39ca70d32"},
 ]
 
 [[package]]
@@ -3306,7 +3072,6 @@ version = "20.26.3"
 requires_python = ">=3.7"
 summary = "Virtual Python Environment builder"
 groups = ["default", "dev"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "distlib<1,>=0.3.7",
     "filelock<4,>=3.12.2",
@@ -3320,32 +3085,25 @@ files = [
 
 [[package]]
 name = "watchdog"
-version = "4.0.1"
-requires_python = ">=3.8"
+version = "5.0.1"
+requires_python = ">=3.9"
 summary = "Filesystem events monitoring"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
-files = [
-    {file = "watchdog-4.0.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:093b23e6906a8b97051191a4a0c73a77ecc958121d42346274c6af6520dec175"},
-    {file = "watchdog-4.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:611be3904f9843f0529c35a3ff3fd617449463cb4b73b1633950b3d97fa4bfb7"},
-    {file = "watchdog-4.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:62c613ad689ddcb11707f030e722fa929f322ef7e4f18f5335d2b73c61a85c28"},
-    {file = "watchdog-4.0.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:0144c0ea9997b92615af1d94afc0c217e07ce2c14912c7b1a5731776329fcfc7"},
-    {file = "watchdog-4.0.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:998d2be6976a0ee3a81fb8e2777900c28641fb5bfbd0c84717d89bca0addcdc5"},
-    {file = "watchdog-4.0.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:e7921319fe4430b11278d924ef66d4daa469fafb1da679a2e48c935fa27af193"},
-    {file = "watchdog-4.0.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:f0de0f284248ab40188f23380b03b59126d1479cd59940f2a34f8852db710625"},
-    {file = "watchdog-4.0.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:bca36be5707e81b9e6ce3208d92d95540d4ca244c006b61511753583c81c70dd"},
-    {file = "watchdog-4.0.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:ab998f567ebdf6b1da7dc1e5accfaa7c6992244629c0fdaef062f43249bd8dee"},
-    {file = "watchdog-4.0.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:dddba7ca1c807045323b6af4ff80f5ddc4d654c8bce8317dde1bd96b128ed253"},
-    {file = "watchdog-4.0.1-py3-none-manylinux2014_armv7l.whl", hash = "sha256:4513ec234c68b14d4161440e07f995f231be21a09329051e67a2118a7a612d2d"},
-    {file = "watchdog-4.0.1-py3-none-manylinux2014_i686.whl", hash = "sha256:4107ac5ab936a63952dea2a46a734a23230aa2f6f9db1291bf171dac3ebd53c6"},
-    {file = "watchdog-4.0.1-py3-none-manylinux2014_ppc64.whl", hash = "sha256:6e8c70d2cd745daec2a08734d9f63092b793ad97612470a0ee4cbb8f5f705c57"},
-    {file = "watchdog-4.0.1-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:f27279d060e2ab24c0aa98363ff906d2386aa6c4dc2f1a374655d4e02a6c5e5e"},
-    {file = "watchdog-4.0.1-py3-none-manylinux2014_s390x.whl", hash = "sha256:f8affdf3c0f0466e69f5b3917cdd042f89c8c63aebdb9f7c078996f607cdb0f5"},
-    {file = "watchdog-4.0.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ac7041b385f04c047fcc2951dc001671dee1b7e0615cde772e84b01fbf68ee84"},
-    {file = "watchdog-4.0.1-py3-none-win32.whl", hash = "sha256:206afc3d964f9a233e6ad34618ec60b9837d0582b500b63687e34011e15bb429"},
-    {file = "watchdog-4.0.1-py3-none-win_amd64.whl", hash = "sha256:7577b3c43e5909623149f76b099ac49a1a01ca4e167d1785c76eb52fa585745a"},
-    {file = "watchdog-4.0.1-py3-none-win_ia64.whl", hash = "sha256:d7b9f5f3299e8dd230880b6c55504a1f69cf1e4316275d1b215ebdd8187ec88d"},
-    {file = "watchdog-4.0.1.tar.gz", hash = "sha256:eebaacf674fa25511e8867028d281e602ee6500045b57f43b08778082f7f8b44"},
+files = [
+    {file = "watchdog-5.0.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:e321f1561adea30e447130882efe451af519646178d04189d6ba91a8cd7d88a5"},
+    {file = "watchdog-5.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c4ae0b3e95455fa9d959aa3b253c87845ad454ef188a4bf5a69cab287c131216"},
+    {file = "watchdog-5.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b2d56425dfa0c1e6f8a510f21d3d54ef7fe50bbc29638943c2cb1394b7b49156"},
+    {file = "watchdog-5.0.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:763c6f82bb65504b47d4aea268462b2fb662676676356e04787f332a11f03eb0"},
+    {file = "watchdog-5.0.1-py3-none-manylinux2014_armv7l.whl", hash = "sha256:664917cd513538728875a42d5654584b533da88cf06680452c98e73b45466968"},
+    {file = "watchdog-5.0.1-py3-none-manylinux2014_i686.whl", hash = "sha256:39e828c4270452b966bc9d814911a3c7e24c62d726d2a3245f5841664ff56b5e"},
+    {file = "watchdog-5.0.1-py3-none-manylinux2014_ppc64.whl", hash = "sha256:59ec6111f3750772badae3403ef17263489ed6f27ac01ec50c0244b2afa258fb"},
+    {file = "watchdog-5.0.1-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:f3006361dba2005552cc8aa49c44d16a10e0a1939bb3286e888a14f722122808"},
+    {file = "watchdog-5.0.1-py3-none-manylinux2014_s390x.whl", hash = "sha256:72dbdffe4aa0c36c59f4a5190bceeb7fdfdf849ab98a562b3a783a64cc6dacdd"},
+    {file = "watchdog-5.0.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:c93aa24899cb4e8a51492c7ccc420bea45ced502fe9ef2e83f9ab1107e5a13b5"},
+    {file = "watchdog-5.0.1-py3-none-win32.whl", hash = "sha256:2b8cd627b76194e725ed6f48d9524b1ad93a51a0dc3bd0225c56023716245091"},
+    {file = "watchdog-5.0.1-py3-none-win_amd64.whl", hash = "sha256:4eaebff2f938f5325788cef26521891b2d8ecc8e7852aa123a9b458815f93875"},
+    {file = "watchdog-5.0.1-py3-none-win_ia64.whl", hash = "sha256:9b1b32f89f95162f09aea6e15d9384f6e0490152f10d7ed241f8a85cddc50658"},
+    {file = "watchdog-5.0.1.tar.gz", hash = "sha256:f0180e84e6493ef7c82e051334e8c9b00ffd89fa9de5e0613d3c267f6ccf2d38"},
 ]
 
 [[package]]
@@ -3353,7 +3111,6 @@ name = "wcwidth"
 version = "0.2.13"
 summary = "Measures the displayed width of unicode strings in a terminal"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "backports-functools-lru-cache>=1.2.1; python_version < \"3.2\"",
 ]
@@ -3364,14 +3121,13 @@ files = [
 
 [[package]]
 name = "webcolors"
-version = "24.6.0"
+version = "24.8.0"
 requires_python = ">=3.8"
 summary = "A library for working with the color formats defined by HTML and CSS."
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
-    {file = "webcolors-24.6.0-py3-none-any.whl", hash = "sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1"},
-    {file = "webcolors-24.6.0.tar.gz", hash = "sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b"},
+    {file = "webcolors-24.8.0-py3-none-any.whl", hash = "sha256:fc4c3b59358ada164552084a8ebee637c221e4059267d0f8325b3b560f6c7f0a"},
+    {file = "webcolors-24.8.0.tar.gz", hash = "sha256:08b07af286a01bcd30d583a7acadf629583d1f79bfef27dd2c2c5c263817277d"},
 ]
 
 [[package]]
@@ -3379,7 +3135,6 @@ name = "webencodings"
 version = "0.5.1"
 summary = "Character encoding aliases for legacy web content"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
     {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
@@ -3391,7 +3146,6 @@ version = "1.8.0"
 requires_python = ">=3.8"
 summary = "WebSocket client for Python with low level API options"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 files = [
     {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
     {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
@@ -3399,29 +3153,27 @@ files = [
 
 [[package]]
 name = "xarray"
-version = "2024.6.0"
+version = "2024.7.0"
 requires_python = ">=3.9"
 summary = "N-D labeled arrays and datasets in Python"
 groups = ["default"]
-marker = "python_full_version == \"3.12.4\""
 dependencies = [
     "numpy>=1.23",
     "packaging>=23.1",
     "pandas>=2.0",
 ]
 files = [
-    {file = "xarray-2024.6.0-py3-none-any.whl", hash = "sha256:721a7394e8ec3d592b2d8ebe21eed074ac077dc1bb1bd777ce00e41700b4866c"},
-    {file = "xarray-2024.6.0.tar.gz", hash = "sha256:0b91e0bc4dc0296947947640fe31ec6e867ce258d2f7cbc10bedf4a6d68340c7"},
+    {file = "xarray-2024.7.0-py3-none-any.whl", hash = "sha256:1b0fd51ec408474aa1f4a355d75c00cc1c02bd425d97b2c2e551fd21810e7f64"},
+    {file = "xarray-2024.7.0.tar.gz", hash = "sha256:4cae512d121a8522d41e66d942fb06c526bc1fd32c2c181d5fe62fe65b671638"},
 ]
 
 [[package]]
 name = "zipp"
-version = "3.19.2"
+version = "3.20.1"
 requires_python = ">=3.8"
 summary = "Backport of pathlib-compatible object wrapper for zip files"
 groups = ["dev"]
-marker = "python_full_version == \"3.12.4\""
 files = [
-    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
-    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
+    {file = "zipp-3.20.1-py3-none-any.whl", hash = "sha256:9960cd8967c8f85a56f920d5d507274e74f9ff813a0ab8889a5b5be2daf44064"},
+    {file = "zipp-3.20.1.tar.gz", hash = "sha256:c22b14cc4763c5a5b04134207736c107db42e9d3ef2d9779d465f5f1bcba572b"},
 ]
diff --git a/python/pyproject.toml b/python/pyproject.toml
index f2024ed4..6aa2f82a 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -23,8 +23,6 @@ requires-python = "==3.12.*"
 dependencies = [
     "tqdm>=4.66.4",
     "scipy<1.14",
-    "rioxarray<1.0.0,>=0.15.1",
-    "rasterio<2.0.0,>=1.3.9",
     "python-dateutil<3.0.0,>=2.8.2",
     "jupyterlab<5.0.0,>=4.1.2",
     "matplotlib<3.9",
@@ -38,7 +36,9 @@ dependencies = [
     "typer>=0.12.3",
     "seaborn>=0.13.2",
     "dill>=0.3.8",
-    "numpy<2",
+    "numpy>2",
+    "rioxarray>=0.17.0",
+    "rasterio==1.4b1",
 ]
 
 [project.scripts]
diff --git a/setup-instructions.md b/setup-instructions.md
index c45e2bfa..5b4c33e9 100644
--- a/setup-instructions.md
+++ b/setup-instructions.md
@@ -26,17 +26,65 @@ git clone https://github.com/alan-turing-institute/clim-recal
 cd clim-recal
 docker compose build jupyter
 docker compose up jupyter
-docker compose run jupyter bash
-cd python
-pdm install
-pdm run clim-recal --help
+clim-recal --help
 ```
 ::: {.callout-warning}
 There are cases where `pdm install` raises a `KeyError: '_PYPROJECT_HOOKS_BUILD_BACKEND'`. Thus far, running `pdm install` again works.
 :::
 
 ```console
-clim-recal --help
+$ clim-recal --help
+
+ Usage: clim-recal [OPTIONS]
+
+ Crop and align UK climate projections and test debias methods.
+
+╭─ Options ──────────────────────────────────────────────────────────────╮
+│ --hads-input-path     -d      PATH                [default:            │
+│                                                   /Volumes/vmfileshar… │
+│ --cpm-input-path      -o      PATH                [default:            │
+│                                                   /Volumes/vmfileshar… │
+│ --output-path         -o      DIRECTORY           [default:            │
+│                                                   clim-recal-runs]     │
+│ --variable            -v      [tasmax|rainfall|t  [default: tasmax]    │
+│                               asmin]                                   │
+│ --region              -a      [Glasgow|Mancheste  [default:            │
+│                               r|London|Scotland]  Manchester]          │
+│ --run                 -r      [01|04|05|06|07|08  [default: 05]        │
+│                               |09|10|11|12|13|14                       │
+│                               |15]                                     │
+│ --method              -m      [quantile_delta_ma  [default:            │
+│                               pping|quantile_map  quantile_delta_mapp… │
+│                               ping|variance_scal                       │
+│                               ing|delta_method]                        │
+│ --all-variables                                                        │
+│ --all-regions                                                          │
+│ --all-runs                                                             │
+│ --default-runs                                                         │
+│ --all-methods                                                          │
+│ --project-cpm                                     [default: True]      │
+│ --project-hads                                    [default: True]      │
+│ --crop-cpm                                        [default: True]      │
+│ --crop-hads                                       [default: True]      │
+│ --execute                                                              │
+│ --start-index         -s      INTEGER RANGE       [default: 0]         │
+│                               [x>=0]                                   │
+│ --total-from-index    -t      INTEGER RANGE       [default: 0]         │
+│                               [x>=0]                                   │
+│ --cpus                        INTEGER RANGE       [default: 2]         │
+│                               [1<=x<=10]                               │
+│ --use-multiprocessi…                                                   │
+│ --install-completion                              Install completion   │
+│                                                   for the current      │
+│                                                   shell.               │
+│ --show-completion                                 Show completion for  │
+│                                                   the current shell,   │
+│                                                   to copy it or        │
+│                                                   customize the        │
+│                                                   installation.        │
+│ --help                                            Show this message    │
+│                                                   and exit.            │
+╰────────────────────────────────────────────────────────────────────────╯
 
 ```
 

From 35062ef4b4918b2f47ae5cd55fcd715699d4f0cd Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 3 Sep 2024 21:43:45 +0100
Subject: [PATCH 68/92] fix: `pyproject.toml` and `pdm.lock` for `python`
 `3.12.5`

---
 python/pdm.lock       | 265 ++++++++++++++++++++++++++++++++++++------
 python/pyproject.toml |   2 +-
 2 files changed, 231 insertions(+), 36 deletions(-)

diff --git a/python/pdm.lock b/python/pdm.lock
index 434f1d4f..a5ca479b 100644
--- a/python/pdm.lock
+++ b/python/pdm.lock
@@ -5,10 +5,10 @@
 groups = ["default", "dev"]
 strategy = ["inherit_metadata"]
 lock_version = "4.5.0"
-content_hash = "sha256:9d8cc63d68a52e6ede993eaff96c9864e0f6114c7650cc6ed657197471820e33"
+content_hash = "sha256:0cdc21112758f7753fb9320582ff928e8e3629b9e5012128763450e4cfe491d1"
 
 [[metadata.targets]]
-requires_python = "==3.12.*"
+requires_python = "~=3.12.5"
 
 [[package]]
 name = "affine"
@@ -16,6 +16,7 @@ version = "2.4.0"
 requires_python = ">=3.7"
 summary = "Matrices describing affine transformation of the plane"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "affine-2.4.0-py3-none-any.whl", hash = "sha256:8a3df80e2b2378aef598a83c1392efd47967afec4242021a0b06b4c7cbc61a92"},
     {file = "affine-2.4.0.tar.gz", hash = "sha256:a24d818d6a836c131976d22f8c27b8d3ca32d0af64c1d8d29deb7bafa4da1eea"},
@@ -27,6 +28,7 @@ version = "0.7.0"
 requires_python = ">=3.8"
 summary = "Reusable constraint types to use with typing.Annotated"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "typing-extensions>=4.0.0; python_version < \"3.9\"",
 ]
@@ -41,6 +43,7 @@ version = "4.4.0"
 requires_python = ">=3.8"
 summary = "High level compatibility layer for multiple asynchronous event loop implementations"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "exceptiongroup>=1.0.2; python_version < \"3.11\"",
     "idna>=2.8",
@@ -57,6 +60,7 @@ name = "appdirs"
 version = "1.4.4"
 summary = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
@@ -68,7 +72,7 @@ version = "0.1.4"
 requires_python = ">=3.6"
 summary = "Disable App Nap on macOS >= 10.9"
 groups = ["default"]
-marker = "platform_system == \"Darwin\""
+marker = "platform_system == \"Darwin\" and python_full_version ~= \"3.12.5\""
 files = [
     {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
     {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
@@ -80,6 +84,7 @@ version = "23.1.0"
 requires_python = ">=3.7"
 summary = "Argon2 for Python"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "argon2-cffi-bindings",
     "typing-extensions; python_version < \"3.8\"",
@@ -95,6 +100,7 @@ version = "21.2.0"
 requires_python = ">=3.6"
 summary = "Low-level CFFI bindings for Argon2"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "cffi>=1.0.1",
 ]
@@ -118,6 +124,7 @@ version = "1.3.0"
 requires_python = ">=3.8"
 summary = "Better dates & times for Python"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "python-dateutil>=2.7.0",
     "types-python-dateutil>=2.8.10",
@@ -132,6 +139,7 @@ name = "asttokens"
 version = "2.4.1"
 summary = "Annotate AST trees with source code positions"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "six>=1.12.0",
     "typing; python_version < \"3.5\"",
@@ -147,6 +155,7 @@ version = "2.0.4"
 requires_python = ">=3.8"
 summary = "Simple LRU cache for asyncio"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "typing-extensions>=4.0.0; python_version < \"3.11\"",
 ]
@@ -161,6 +170,7 @@ version = "24.2.0"
 requires_python = ">=3.7"
 summary = "Classes Without Boilerplate"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "importlib-metadata; python_version < \"3.8\"",
 ]
@@ -175,6 +185,7 @@ version = "2.16.0"
 requires_python = ">=3.8"
 summary = "Internationalization utilities"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "pytz>=2015.7; python_version < \"3.9\"",
 ]
@@ -189,7 +200,7 @@ version = "0.18.5"
 requires_python = ">=3.8.0"
 summary = "Unbearably fast runtime type checking in pure Python."
 groups = ["dev"]
-marker = "python_version >= \"3.10\""
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "beartype-0.18.5-py3-none-any.whl", hash = "sha256:5301a14f2a9a5540fe47ec6d34d758e9cd8331d36c4760fc7a5499ab86310089"},
     {file = "beartype-0.18.5.tar.gz", hash = "sha256:264ddc2f1da9ec94ff639141fbe33d22e12a9f75aa863b83b7046ffff1381927"},
@@ -201,6 +212,7 @@ version = "4.12.3"
 requires_python = ">=3.6.0"
 summary = "Screen-scraping library"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "soupsieve>1.2",
 ]
@@ -215,6 +227,7 @@ version = "6.1.0"
 requires_python = ">=3.8"
 summary = "An easy safelist-based HTML-sanitizing tool."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "six>=1.9.0",
     "webencodings",
@@ -230,6 +243,7 @@ version = "1.8.2"
 requires_python = ">=3.8"
 summary = "Fast, simple object-to-object and broadcast signaling"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "blinker-1.8.2-py3-none-any.whl", hash = "sha256:1779309f71bf239144b9399d06ae925637cf6634cf6bd131104184531bf67c01"},
     {file = "blinker-1.8.2.tar.gz", hash = "sha256:8f77b09d3bf7c795e969e9486f39c2c5e9c39d4ee07424be2bc594ece9642d83"},
@@ -241,6 +255,7 @@ version = "0.14.0"
 requires_python = ">=3.7"
 summary = "httplib2 caching for requests"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "msgpack<2.0.0,>=0.5.2",
     "requests>=2.16.0",
@@ -257,6 +272,7 @@ extras = ["filecache"]
 requires_python = ">=3.7"
 summary = "httplib2 caching for requests"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "cachecontrol==0.14.0",
     "filelock>=3.8.0",
@@ -272,6 +288,7 @@ version = "0.3.0"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 summary = "Cachy provides a simple yet effective caching library."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "cachy-0.3.0-py2.py3-none-any.whl", hash = "sha256:338ca09c8860e76b275aff52374330efedc4d5a5e45dc1c5b539c1ead0786fe7"},
     {file = "cachy-0.3.0.tar.gz", hash = "sha256:186581f4ceb42a0bbe040c407da73c14092379b1e4c0e327fdb72ae4a9b269b1"},
@@ -283,6 +300,7 @@ version = "2024.8.30"
 requires_python = ">=3.6"
 summary = "Python package for providing Mozilla's CA Bundle."
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
     {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
@@ -294,6 +312,7 @@ version = "1.17.0"
 requires_python = ">=3.8"
 summary = "Foreign Function Interface for Python calling C code."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "pycparser",
 ]
@@ -318,6 +337,7 @@ version = "3.4.0"
 requires_python = ">=3.8"
 summary = "Validate configuration and produce human readable error messages."
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
     {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
@@ -329,6 +349,7 @@ version = "1.6.4"
 requires_python = ">=3.8"
 summary = "Time-handling functionality from netcdf4-python"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "numpy>1.13.3; python_version < \"3.12.0.rc1\"",
     "numpy>=1.26.0b1; python_version >= \"3.12.0.rc1\"",
@@ -349,6 +370,7 @@ version = "3.3.2"
 requires_python = ">=3.7.0"
 summary = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
     {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"},
@@ -375,6 +397,7 @@ version = "8.1.7"
 requires_python = ">=3.7"
 summary = "Composable command line interface toolkit"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "colorama; platform_system == \"Windows\"",
     "importlib-metadata; python_version < \"3.8\"",
@@ -390,6 +413,7 @@ version = "1.2.4"
 requires_python = ">=2.7"
 summary = "click_default_group"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "click",
 ]
@@ -403,6 +427,7 @@ name = "click-plugins"
 version = "1.1.1"
 summary = "An extension module for click to enable registering CLI commands via setuptools entry-points."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "click>=4.0",
 ]
@@ -417,6 +442,7 @@ version = "0.7.2"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, <4"
 summary = "Click params for commmand line interfaces to GeoJSON"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "click>=4.0",
 ]
@@ -431,6 +457,7 @@ version = "0.6.2"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 summary = "CliKit is a group of utilities to build beautiful and testable command line interfaces."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "crashtest<0.4.0,>=0.3.0; python_version ~= \"3.6\"",
     "enum34<2.0,>=1.1; python_version >= \"2.7\" and python_version < \"2.8\"",
@@ -450,6 +477,7 @@ version = "0.4.6"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 summary = "Cross-platform colored terminal text."
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -461,6 +489,7 @@ version = "0.2.2"
 requires_python = ">=3.8"
 summary = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "traitlets>=4",
 ]
@@ -475,6 +504,7 @@ version = "2.5.7"
 requires_python = ">=3.8"
 summary = "Lockfiles for conda"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "cachecontrol[filecache]>=0.12.9",
     "cachy>=0.3.0",
@@ -512,6 +542,7 @@ version = "1.3.0"
 requires_python = ">=3.9"
 summary = "Python library for calculating contours of 2D quadrilateral grids"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "numpy>=1.23",
 ]
@@ -535,6 +566,7 @@ version = "7.6.1"
 requires_python = ">=3.8"
 summary = "Code coverage measurement for Python"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "coverage-7.6.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:95cae0efeb032af8458fc27d191f85d1717b1d4e49f7cb226cf526ff28179778"},
     {file = "coverage-7.6.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5621a9175cf9d0b0c84c2ef2b12e9f5f5071357c4d2ea6ca1cf01814f45d2391"},
@@ -554,6 +586,7 @@ name = "coverage-badge"
 version = "1.1.2"
 summary = "Generate coverage badges for Coverage.py."
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "coverage",
     "setuptools",
@@ -570,6 +603,7 @@ extras = ["toml"]
 requires_python = ">=3.8"
 summary = "Code coverage measurement for Python"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "coverage==7.6.1",
     "tomli; python_full_version <= \"3.11.0a6\"",
@@ -594,6 +628,7 @@ version = "0.3.1"
 requires_python = ">=3.6,<4.0"
 summary = "Manage Python errors with ease"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "crashtest-0.3.1-py3-none-any.whl", hash = "sha256:300f4b0825f57688b47b6d70c6a31de33512eb2fa1ac614f780939aa0cf91680"},
     {file = "crashtest-0.3.1.tar.gz", hash = "sha256:42ca7b6ce88b6c7433e2ce47ea884e91ec93104a4b754998be498a8e6c3d37dd"},
@@ -601,34 +636,34 @@ files = [
 
 [[package]]
 name = "cryptography"
-version = "43.0.0"
+version = "43.0.1"
 requires_python = ">=3.7"
 summary = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 groups = ["default"]
-marker = "sys_platform == \"linux\""
+marker = "sys_platform == \"linux\" and python_full_version ~= \"3.12.5\""
 dependencies = [
     "cffi>=1.12; platform_python_implementation != \"PyPy\"",
 ]
 files = [
-    {file = "cryptography-43.0.0-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:64c3f16e2a4fc51c0d06af28441881f98c5d91009b8caaff40cf3548089e9c74"},
-    {file = "cryptography-43.0.0-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3dcdedae5c7710b9f97ac6bba7e1052b95c7083c9d0e9df96e02a1932e777895"},
-    {file = "cryptography-43.0.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d9a1eca329405219b605fac09ecfc09ac09e595d6def650a437523fcd08dd22"},
-    {file = "cryptography-43.0.0-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:ea9e57f8ea880eeea38ab5abf9fbe39f923544d7884228ec67d666abd60f5a47"},
-    {file = "cryptography-43.0.0-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:9a8d6802e0825767476f62aafed40532bd435e8a5f7d23bd8b4f5fd04cc80ecf"},
-    {file = "cryptography-43.0.0-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:cc70b4b581f28d0a254d006f26949245e3657d40d8857066c2ae22a61222ef55"},
-    {file = "cryptography-43.0.0-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:4a997df8c1c2aae1e1e5ac49c2e4f610ad037fc5a3aadc7b64e39dea42249431"},
-    {file = "cryptography-43.0.0-cp37-abi3-win32.whl", hash = "sha256:6e2b11c55d260d03a8cf29ac9b5e0608d35f08077d8c087be96287f43af3ccdc"},
-    {file = "cryptography-43.0.0-cp37-abi3-win_amd64.whl", hash = "sha256:31e44a986ceccec3d0498e16f3d27b2ee5fdf69ce2ab89b52eaad1d2f33d8778"},
-    {file = "cryptography-43.0.0-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:7b3f5fe74a5ca32d4d0f302ffe6680fcc5c28f8ef0dc0ae8f40c0f3a1b4fca66"},
-    {file = "cryptography-43.0.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac1955ce000cb29ab40def14fd1bbfa7af2017cca696ee696925615cafd0dce5"},
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 ]
 
 [[package]]
@@ -637,6 +672,7 @@ version = "0.12.1"
 requires_python = ">=3.8"
 summary = "Composable style cycles"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -648,6 +684,7 @@ version = "1.8.5"
 requires_python = ">=3.8"
 summary = "An implementation of the Debug Adapter Protocol for Python"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -663,6 +700,7 @@ version = "5.1.1"
 requires_python = ">=3.5"
 summary = "Decorators for Humans"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -674,6 +712,7 @@ version = "0.7.1"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 summary = "XML bomb protection for Python stdlib modules"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -685,6 +724,7 @@ version = "0.4.4"
 requires_python = ">=3.8"
 summary = "Python dependency specifications supporting logical operations"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "packaging>=22",
 ]
@@ -699,6 +739,7 @@ version = "0.3.8"
 requires_python = ">=3.8"
 summary = "serialize all of Python"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -709,6 +750,7 @@ name = "distlib"
 version = "0.3.8"
 summary = "Distribution utilities"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -720,6 +762,7 @@ version = "1.4.4"
 requires_python = ">=3.7"
 summary = "Lightweight bootstrapper for a conda executable"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "appdirs",
     "click>=5.1",
@@ -738,6 +781,7 @@ version = "1.1.0"
 requires_python = ">=3.6"
 summary = "An implementation of lxml.xmlfile for the standard library"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -749,6 +793,7 @@ version = "2.1.1"
 requires_python = ">=3.8"
 summary = "execnet: rapid multi-Python deployment"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -760,6 +805,7 @@ version = "2.1.0"
 requires_python = ">=3.8"
 summary = "Get the currently executing AST node of a frame, and other information"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -770,6 +816,7 @@ name = "fastjsonschema"
 version = "2.20.0"
 summary = "Fastest Python implementation of JSON schema"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -781,6 +828,7 @@ version = "3.15.4"
 requires_python = ">=3.8"
 summary = "A platform independent file lock."
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -792,6 +840,7 @@ version = "0.6.1"
 requires_python = ">=3.8"
 summary = "A utility to find python versions on your system"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "packaging>=20",
 ]
@@ -806,6 +855,7 @@ version = "4.53.1"
 requires_python = ">=3.8"
 summary = "Tools to manipulate font files"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -825,6 +875,7 @@ version = "1.5.1"
 requires_python = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
 summary = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "cached-property>=1.3.0; python_version < \"3.8\"",
 ]
@@ -839,6 +890,7 @@ version = "3.8.5"
 requires_python = ">=3.6.0"
 summary = "GDAL: Geospatial Data Abstraction Library"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "GDAL-3.8.5.tar.gz", hash = "sha256:ad8addd58ba9c62aefc7f65d345c168736798f137e5c8f247af76fcf4862d371"},
 ]
@@ -849,6 +901,7 @@ version = "1.0.1"
 requires_python = ">=3.9"
 summary = "Geographic pandas extensions"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "numpy>=1.22",
     "packaging",
@@ -868,6 +921,7 @@ version = "4.0.11"
 requires_python = ">=3.7"
 summary = "Git Object Database"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "smmap<6,>=3.0.1",
 ]
@@ -882,6 +936,7 @@ version = "3.1.43"
 requires_python = ">=3.7"
 summary = "GitPython is a Python library used to interact with Git repositories"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "gitdb<5,>=4.0.1",
     "typing-extensions>=3.7.4.3; python_version < \"3.8\"",
@@ -897,6 +952,7 @@ version = "1.2.0"
 requires_python = ">=3.8"
 summary = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "astunparse>=1.6; python_version < \"3.9\"",
     "colorama>=0.4",
@@ -912,6 +968,7 @@ version = "0.14.0"
 requires_python = ">=3.7"
 summary = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "typing-extensions; python_version < \"3.8\"",
 ]
@@ -926,6 +983,7 @@ version = "0.0.30"
 requires_python = ">=3.8"
 summary = "Persistent cache implementation for httpx and httpcore"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "httpx>=0.22.0",
     "typing-extensions>=4.8.0",
@@ -941,6 +999,7 @@ version = "1.1"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 summary = "HTML parser based on the WHATWG HTML specification"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "six>=1.9",
     "webencodings",
@@ -956,6 +1015,7 @@ version = "1.0.5"
 requires_python = ">=3.8"
 summary = "A minimal low-level HTTP client."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "certifi",
     "h11<0.15,>=0.13",
@@ -971,6 +1031,7 @@ version = "0.27.2"
 requires_python = ">=3.8"
 summary = "The next generation HTTP client."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "anyio",
     "certifi",
@@ -990,6 +1051,7 @@ extras = ["socks"]
 requires_python = ">=3.8"
 summary = "The next generation HTTP client."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "httpx==0.27.2",
     "socksio==1.*",
@@ -1005,6 +1067,7 @@ version = "2.6.0"
 requires_python = ">=3.8"
 summary = "File identification library for Python"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "identify-2.6.0-py2.py3-none-any.whl", hash = "sha256:e79ae4406387a9d300332b5fd366d8994f1525e8414984e1a59e058b2eda2dd0"},
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@@ -1016,6 +1079,7 @@ version = "3.8"
 requires_python = ">=3.6"
 summary = "Internationalized Domain Names in Applications (IDNA)"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -1027,6 +1091,7 @@ version = "8.4.0"
 requires_python = ">=3.8"
 summary = "Read metadata from Python packages"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "typing-extensions>=3.6.4; python_version < \"3.8\"",
     "zipp>=0.5",
@@ -1042,6 +1107,7 @@ version = "6.4.4"
 requires_python = ">=3.8"
 summary = "Read resources from Python packages"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "zipp>=3.1.0; python_version < \"3.10\"",
 ]
@@ -1056,6 +1122,7 @@ version = "2.0.0"
 requires_python = ">=3.7"
 summary = "brain-dead simple config-ini parsing"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -1067,6 +1134,7 @@ version = "0.7.0"
 requires_python = ">=3.7"
 summary = "A library for installing Python wheels."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
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@@ -1078,6 +1146,7 @@ version = "6.29.5"
 requires_python = ">=3.8"
 summary = "IPython Kernel for Jupyter"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "appnope; platform_system == \"Darwin\"",
     "comm>=0.1.1",
@@ -1104,6 +1173,7 @@ version = "8.27.0"
 requires_python = ">=3.10"
 summary = "IPython: Productive Interactive Computing"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "colorama; sys_platform == \"win32\"",
     "decorator",
@@ -1128,6 +1198,7 @@ version = "20.11.0"
 requires_python = ">=3.7"
 summary = "Operations with ISO 8601 durations"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "arrow>=0.15.0",
 ]
@@ -1142,6 +1213,7 @@ version = "3.4.0"
 requires_python = ">=3.8"
 summary = "Utility functions for Python class constructs"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "more-itertools",
 ]
@@ -1156,6 +1228,7 @@ version = "6.0.1"
 requires_python = ">=3.8"
 summary = "Useful decorators and context managers"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "backports-tarfile; python_version < \"3.12\"",
 ]
@@ -1170,6 +1243,7 @@ version = "4.0.2"
 requires_python = ">=3.8"
 summary = "Functools like those found in stdlib"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "more-itertools",
 ]
@@ -1184,6 +1258,7 @@ version = "0.19.1"
 requires_python = ">=3.6"
 summary = "An autocompletion tool for Python that can be used for text editors."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "parso<0.9.0,>=0.8.3",
 ]
@@ -1198,7 +1273,7 @@ version = "0.8.0"
 requires_python = ">=3.7"
 summary = "Low-level, pure Python DBus protocol wrapper."
 groups = ["default"]
-marker = "sys_platform == \"linux\""
+marker = "sys_platform == \"linux\" and python_full_version ~= \"3.12.5\""
 files = [
     {file = "jeepney-0.8.0-py3-none-any.whl", hash = "sha256:c0a454ad016ca575060802ee4d590dd912e35c122fa04e70306de3d076cce755"},
     {file = "jeepney-0.8.0.tar.gz", hash = "sha256:5efe48d255973902f6badc3ce55e2aa6c5c3b3bc642059ef3a91247bcfcc5806"},
@@ -1210,6 +1285,7 @@ version = "3.1.4"
 requires_python = ">=3.7"
 summary = "A very fast and expressive template engine."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "MarkupSafe>=2.0",
 ]
@@ -1224,6 +1300,7 @@ version = "0.9.25"
 requires_python = ">=3.8"
 summary = "A Python implementation of the JSON5 data format."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "json5-0.9.25-py3-none-any.whl", hash = "sha256:34ed7d834b1341a86987ed52f3f76cd8ee184394906b6e22a1e0deb9ab294e8f"},
     {file = "json5-0.9.25.tar.gz", hash = "sha256:548e41b9be043f9426776f05df8635a00fe06104ea51ed24b67f908856e151ae"},
@@ -1235,6 +1312,7 @@ version = "3.0.0"
 requires_python = ">=3.7"
 summary = "Identify specific nodes in a JSON document (RFC 6901) "
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
@@ -1246,6 +1324,7 @@ version = "4.23.0"
 requires_python = ">=3.8"
 summary = "An implementation of JSON Schema validation for Python"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "attrs>=22.2.0",
     "importlib-resources>=1.4.0; python_version < \"3.9\"",
@@ -1265,6 +1344,7 @@ version = "2023.12.1"
 requires_python = ">=3.8"
 summary = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "importlib-resources>=1.4.0; python_version < \"3.9\"",
     "referencing>=0.31.0",
@@ -1281,6 +1361,7 @@ extras = ["format-nongpl"]
 requires_python = ">=3.8"
 summary = "An implementation of JSON Schema validation for Python"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "fqdn",
     "idna",
@@ -1303,6 +1384,7 @@ version = "8.6.2"
 requires_python = ">=3.8"
 summary = "Jupyter protocol implementation and client libraries"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "importlib-metadata>=4.8.3; python_version < \"3.10\"",
     "jupyter-core!=5.0.*,>=4.12",
@@ -1322,6 +1404,7 @@ version = "5.7.2"
 requires_python = ">=3.8"
 summary = "Jupyter core package. A base package on which Jupyter projects rely."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "platformdirs>=2.5",
     "pywin32>=300; sys_platform == \"win32\" and platform_python_implementation != \"PyPy\"",
@@ -1338,6 +1421,7 @@ version = "0.10.0"
 requires_python = ">=3.8"
 summary = "Jupyter Event System library"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "jsonschema[format-nongpl]>=4.18.0",
     "python-json-logger>=2.0.4",
@@ -1358,6 +1442,7 @@ version = "2.2.5"
 requires_python = ">=3.8"
 summary = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "importlib-metadata>=4.8.3; python_version < \"3.10\"",
     "jupyter-server>=1.1.2",
@@ -1373,6 +1458,7 @@ version = "2.14.2"
 requires_python = ">=3.8"
 summary = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "anyio>=3.1.0",
     "argon2-cffi>=21.1",
@@ -1405,6 +1491,7 @@ version = "0.5.3"
 requires_python = ">=3.8"
 summary = "A Jupyter Server Extension Providing Terminals."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "pywinpty>=2.0.3; os_name == \"nt\"",
     "terminado>=0.8.3",
@@ -1420,6 +1507,7 @@ version = "4.2.5"
 requires_python = ">=3.8"
 summary = "JupyterLab computational environment"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "async-lru>=1.0.0",
     "httpx>=0.25.0",
@@ -1449,6 +1537,7 @@ version = "0.3.0"
 requires_python = ">=3.8"
 summary = "Pygments theme using JupyterLab CSS variables"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"},
     {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"},
@@ -1460,6 +1549,7 @@ version = "2.27.3"
 requires_python = ">=3.8"
 summary = "A set of server components for JupyterLab and JupyterLab like applications."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "babel>=2.10",
     "importlib-metadata>=4.8.3; python_version < \"3.10\"",
@@ -1481,6 +1571,7 @@ version = "25.3.0"
 requires_python = ">=3.8"
 summary = "Store and access your passwords safely."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "SecretStorage>=3.2; sys_platform == \"linux\"",
     "importlib-metadata>=4.11.4; python_version < \"3.12\"",
@@ -1502,6 +1593,7 @@ version = "1.4.6"
 requires_python = ">=3.8"
 summary = "A fast implementation of the Cassowary constraint solver"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "kiwisolver-1.4.6-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:979df7e9334f6a3694ee9be8d42817e519ef6d155a16499714d082cf41296852"},
     {file = "kiwisolver-1.4.6-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:50c9c6c42bb6ca231626d1182b9128e89c5ce3c64456f811ff0280deb42d7bfe"},
@@ -1528,6 +1620,7 @@ version = "3.0.0"
 requires_python = ">=3.8"
 summary = "Python port of markdown-it. Markdown parsing, done right!"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "mdurl~=0.1",
 ]
@@ -1542,6 +1635,7 @@ version = "2.1.5"
 requires_python = ">=3.7"
 summary = "Safely add untrusted strings to HTML/XML markup."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:8dec4936e9c3100156f8a2dc89c4b88d5c435175ff03413b443469c7c8c5f4d1"},
     {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3c6b973f22eb18a789b1460b4b91bf04ae3f0c4234a0a6aa6b0a92f6f7b951d4"},
@@ -1562,6 +1656,7 @@ version = "3.8.4"
 requires_python = ">=3.9"
 summary = "Python plotting package"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "contourpy>=1.0.1",
     "cycler>=0.10",
@@ -1590,6 +1685,7 @@ version = "0.1.7"
 requires_python = ">=3.8"
 summary = "Inline Matplotlib backend for Jupyter"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "traitlets",
 ]
@@ -1604,6 +1700,7 @@ version = "0.1.2"
 requires_python = ">=3.7"
 summary = "Markdown URL utilities"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
@@ -1615,6 +1712,7 @@ version = "3.0.2"
 requires_python = ">=3.7"
 summary = "A sane and fast Markdown parser with useful plugins and renderers"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "mistune-3.0.2-py3-none-any.whl", hash = "sha256:71481854c30fdbc938963d3605b72501f5c10a9320ecd412c121c163a1c7d205"},
     {file = "mistune-3.0.2.tar.gz", hash = "sha256:fc7f93ded930c92394ef2cb6f04a8aabab4117a91449e72dcc8dfa646a508be8"},
@@ -1626,6 +1724,7 @@ version = "10.4.0"
 requires_python = ">=3.8"
 summary = "More routines for operating on iterables, beyond itertools"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "more-itertools-10.4.0.tar.gz", hash = "sha256:fe0e63c4ab068eac62410ab05cccca2dc71ec44ba8ef29916a0090df061cf923"},
     {file = "more_itertools-10.4.0-py3-none-any.whl", hash = "sha256:0f7d9f83a0a8dcfa8a2694a770590d98a67ea943e3d9f5298309a484758c4e27"},
@@ -1637,6 +1736,7 @@ version = "1.0.8"
 requires_python = ">=3.8"
 summary = "MessagePack serializer"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "msgpack-1.0.8-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:114be227f5213ef8b215c22dde19532f5da9652e56e8ce969bf0a26d7c419fee"},
     {file = "msgpack-1.0.8-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d661dc4785affa9d0edfdd1e59ec056a58b3dbb9f196fa43587f3ddac654ac7b"},
@@ -1658,6 +1758,7 @@ version = "0.10.0"
 requires_python = ">=3.8.0"
 summary = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "jupyter-client>=6.1.12",
     "jupyter-core!=5.0.*,>=4.12",
@@ -1675,6 +1776,7 @@ version = "7.16.4"
 requires_python = ">=3.8"
 summary = "Converting Jupyter Notebooks (.ipynb files) to other formats.  Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script.  nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "beautifulsoup4",
     "bleach!=5.0.0",
@@ -1704,6 +1806,7 @@ version = "5.10.4"
 requires_python = ">=3.8"
 summary = "The Jupyter Notebook format"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "fastjsonschema>=2.15",
     "jsonschema>=2.6",
@@ -1721,6 +1824,7 @@ version = "1.6.0"
 requires_python = ">=3.5"
 summary = "Patch asyncio to allow nested event loops"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"},
     {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
@@ -1732,6 +1836,7 @@ version = "1.7.1.post2"
 requires_python = ">=3.8"
 summary = "Provides an object-oriented python interface to the netCDF version 4 library"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "certifi",
     "cftime",
@@ -1752,6 +1857,7 @@ version = "1.9.1"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 summary = "Node.js virtual environment builder"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"},
     {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
@@ -1763,6 +1869,7 @@ version = "0.2.4"
 requires_python = ">=3.7"
 summary = "A shim layer for notebook traits and config"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "jupyter-server<3,>=1.8",
 ]
@@ -1777,6 +1884,7 @@ version = "2.1.1"
 requires_python = ">=3.10"
 summary = "Fundamental package for array computing in Python"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "numpy-2.1.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:7c803b7934a7f59563db459292e6aa078bb38b7ab1446ca38dd138646a38203e"},
     {file = "numpy-2.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6435c48250c12f001920f0751fe50c0348f5f240852cfddc5e2f97e007544cbe"},
@@ -1797,6 +1905,7 @@ version = "3.1.5"
 requires_python = ">=3.8"
 summary = "A Python library to read/write Excel 2010 xlsx/xlsm files"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "et-xmlfile",
 ]
@@ -1811,6 +1920,7 @@ version = "7.7.0"
 requires_python = ">=3.6"
 summary = "A decorator to automatically detect mismatch when overriding a method."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "typing; python_version < \"3.5\"",
 ]
@@ -1825,6 +1935,7 @@ version = "24.1"
 requires_python = ">=3.8"
 summary = "Core utilities for Python packages"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"},
     {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
@@ -1836,6 +1947,7 @@ version = "2.2.2"
 requires_python = ">=3.9"
 summary = "Powerful data structures for data analysis, time series, and statistics"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "numpy>=1.22.4; python_version < \"3.11\"",
     "numpy>=1.23.2; python_version == \"3.11\"",
@@ -1861,6 +1973,7 @@ version = "1.5.1"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 summary = "Utilities for writing pandoc filters in python"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"},
     {file = "pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e"},
@@ -1872,6 +1985,7 @@ version = "0.8.4"
 requires_python = ">=3.6"
 summary = "A Python Parser"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18"},
     {file = "parso-0.8.4.tar.gz", hash = "sha256:eb3a7b58240fb99099a345571deecc0f9540ea5f4dd2fe14c2a99d6b281ab92d"},
@@ -1883,6 +1997,7 @@ version = "0.2.1"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 summary = "Bring colors to your terminal."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "pastel-0.2.1-py2.py3-none-any.whl", hash = "sha256:4349225fcdf6c2bb34d483e523475de5bb04a5c10ef711263452cb37d7dd4364"},
     {file = "pastel-0.2.1.tar.gz", hash = "sha256:e6581ac04e973cac858828c6202c1e1e81fee1dc7de7683f3e1ffe0bfd8a573d"},
@@ -1894,6 +2009,7 @@ version = "2024.8.14"
 requires_python = ">=3.8"
 summary = "Installer for Python Build Standalone"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "pbs_installer-2024.8.14-py3-none-any.whl", hash = "sha256:9ec0c1e689fc956823d45952eb0879c303f411d8f9f315b06ef57138cc794285"},
     {file = "pbs_installer-2024.8.14.tar.gz", hash = "sha256:40144b21f04e90c73f1b79601e139d56d540356630fe473842ea439a59dffaee"},
@@ -1905,6 +2021,7 @@ version = "2.18.1"
 requires_python = ">=3.8"
 summary = "A modern Python package and dependency manager supporting the latest PEP standards"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "blinker",
     "dep-logic>=0.4.4",
@@ -1940,7 +2057,7 @@ name = "pexpect"
 version = "4.9.0"
 summary = "Pexpect allows easy control of interactive console applications."
 groups = ["default"]
-marker = "sys_platform != \"win32\" and sys_platform != \"emscripten\""
+marker = "(sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_full_version ~= \"3.12.5\""
 dependencies = [
     "ptyprocess>=0.5",
 ]
@@ -1955,6 +2072,7 @@ version = "10.4.0"
 requires_python = ">=3.8"
 summary = "Python Imaging Library (Fork)"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "pillow-10.4.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:673655af3eadf4df6b5457033f086e90299fdd7a47983a13827acf7459c15d94"},
     {file = "pillow-10.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:866b6942a92f56300012f5fbac71f2d610312ee65e22f1aa2609e491284e5597"},
@@ -1976,6 +2094,7 @@ version = "1.11.1"
 requires_python = ">=3.8"
 summary = "Query metadata from sdists / bdists / installed packages."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "pkginfo-1.11.1-py3-none-any.whl", hash = "sha256:bfa76a714fdfc18a045fcd684dbfc3816b603d9d075febef17cb6582bea29573"},
     {file = "pkginfo-1.11.1.tar.gz", hash = "sha256:2e0dca1cf4c8e39644eed32408ea9966ee15e0d324c62ba899a393b3c6b467aa"},
@@ -1987,6 +2106,7 @@ version = "4.2.2"
 requires_python = ">=3.8"
 summary = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"},
     {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"},
@@ -1998,6 +2118,7 @@ version = "1.5.0"
 requires_python = ">=3.8"
 summary = "plugin and hook calling mechanisms for python"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -2009,7 +2130,7 @@ version = "2.5.2"
 requires_python = ">=3.8"
 summary = "Multiple dispatch in Python"
 groups = ["dev"]
-marker = "python_version >= \"3.10\""
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "beartype>=0.16.2",
     "rich>=10.0",
@@ -2026,6 +2147,7 @@ version = "3.8.0"
 requires_python = ">=3.9"
 summary = "A framework for managing and maintaining multi-language pre-commit hooks."
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "cfgv>=2.0.0",
     "identify>=1.0.0",
@@ -2044,6 +2166,7 @@ version = "0.20.0"
 requires_python = ">=3.8"
 summary = "Python client for the Prometheus monitoring system."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "prometheus_client-0.20.0-py3-none-any.whl", hash = "sha256:cde524a85bce83ca359cc837f28b8c0db5cac7aa653a588fd7e84ba061c329e7"},
     {file = "prometheus_client-0.20.0.tar.gz", hash = "sha256:287629d00b147a32dcb2be0b9df905da599b2d82f80377083ec8463309a4bb89"},
@@ -2055,6 +2178,7 @@ version = "3.0.47"
 requires_python = ">=3.7.0"
 summary = "Library for building powerful interactive command lines in Python"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "wcwidth",
 ]
@@ -2069,6 +2193,7 @@ version = "6.0.0"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 summary = "Cross-platform lib for process and system monitoring in Python."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "psutil-6.0.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:c588a7e9b1173b6e866756dde596fd4cad94f9399daf99ad8c3258b3cb2b47a0"},
     {file = "psutil-6.0.0-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ed2440ada7ef7d0d608f20ad89a04ec47d2d3ab7190896cd62ca5fc4fe08bf0"},
@@ -2085,7 +2210,7 @@ name = "ptyprocess"
 version = "0.7.0"
 summary = "Run a subprocess in a pseudo terminal"
 groups = ["default"]
-marker = "sys_platform != \"win32\" and sys_platform != \"emscripten\" or os_name != \"nt\""
+marker = "(sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_full_version ~= \"3.12.5\" or os_name != \"nt\" and python_full_version ~= \"3.12.5\""
 files = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
     {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
@@ -2096,6 +2221,7 @@ name = "pure-eval"
 version = "0.2.3"
 summary = "Safely evaluate AST nodes without side effects"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"},
     {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"},
@@ -2107,6 +2233,7 @@ version = "2.22"
 requires_python = ">=3.8"
 summary = "C parser in Python"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
@@ -2118,6 +2245,7 @@ version = "2.8.2"
 requires_python = ">=3.8"
 summary = "Data validation using Python type hints"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "annotated-types>=0.4.0",
     "pydantic-core==2.20.1",
@@ -2135,6 +2263,7 @@ version = "2.20.1"
 requires_python = ">=3.8"
 summary = "Core functionality for Pydantic validation and serialization"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "typing-extensions!=4.7.0,>=4.6.0",
 ]
@@ -2160,6 +2289,7 @@ version = "2.18.0"
 requires_python = ">=3.8"
 summary = "Pygments is a syntax highlighting package written in Python."
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"},
     {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"},
@@ -2170,6 +2300,7 @@ name = "pylev"
 version = "1.4.0"
 summary = "A pure Python Levenshtein implementation that's not freaking GPL'd."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "pylev-1.4.0-py2.py3-none-any.whl", hash = "sha256:7b2e2aa7b00e05bb3f7650eb506fc89f474f70493271a35c242d9a92188ad3dd"},
     {file = "pylev-1.4.0.tar.gz", hash = "sha256:9e77e941042ad3a4cc305dcdf2b2dec1aec2fbe3dd9015d2698ad02b173006d1"},
@@ -2181,6 +2312,7 @@ version = "0.9.0"
 requires_python = ">=3.8"
 summary = "Vectorized spatial vector file format I/O using GDAL/OGR"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "certifi",
     "numpy",
@@ -2201,6 +2333,7 @@ version = "3.1.4"
 requires_python = ">=3.6.8"
 summary = "pyparsing module - Classes and methods to define and execute parsing grammars"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "pyparsing-3.1.4-py3-none-any.whl", hash = "sha256:a6a7ee4235a3f944aa1fa2249307708f893fe5717dc603503c6c7969c070fb7c"},
     {file = "pyparsing-3.1.4.tar.gz", hash = "sha256:f86ec8d1a83f11977c9a6ea7598e8c27fc5cddfa5b07ea2241edbbde1d7bc032"},
@@ -2212,6 +2345,7 @@ version = "3.6.1"
 requires_python = ">=3.9"
 summary = "Python interface to PROJ (cartographic projections and coordinate transformations library)"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "certifi",
 ]
@@ -2231,6 +2365,7 @@ version = "1.1.0"
 requires_python = ">=3.7"
 summary = "Wrappers to call pyproject.toml-based build backend hooks."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "pyproject_hooks-1.1.0-py3-none-any.whl", hash = "sha256:7ceeefe9aec63a1064c18d939bdc3adf2d8aa1988a510afec15151578b232aa2"},
     {file = "pyproject_hooks-1.1.0.tar.gz", hash = "sha256:4b37730834edbd6bd37f26ece6b44802fb1c1ee2ece0e54ddff8bfc06db86965"},
@@ -2242,6 +2377,7 @@ version = "8.3.2"
 requires_python = ">=3.8"
 summary = "pytest: simple powerful testing with Python"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "colorama; sys_platform == \"win32\"",
     "exceptiongroup>=1.0.0rc8; python_version < \"3.11\"",
@@ -2261,6 +2397,7 @@ version = "4.1.0"
 requires_python = ">=3.7"
 summary = "Pytest plugin for measuring coverage."
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "coverage[toml]>=5.2.1",
     "pytest>=4.6",
@@ -2275,6 +2412,7 @@ name = "pytest-sugar"
 version = "1.0.0"
 summary = "pytest-sugar is a plugin for pytest that changes the default look and feel of pytest (e.g. progressbar, show tests that fail instantly)."
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "packaging>=21.3",
     "pytest>=6.2.0",
@@ -2291,6 +2429,7 @@ version = "3.6.1"
 requires_python = ">=3.8"
 summary = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "execnet>=2.1",
     "pytest>=7.0.0",
@@ -2306,6 +2445,7 @@ version = "2.9.0.post0"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 summary = "Extensions to the standard Python datetime module"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "six>=1.5",
 ]
@@ -2320,6 +2460,7 @@ version = "1.0.1"
 requires_python = ">=3.8"
 summary = "Read key-value pairs from a .env file and set them as environment variables"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
     {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
@@ -2331,6 +2472,7 @@ version = "2.0.7"
 requires_python = ">=3.6"
 summary = "A python library adding a json log formatter"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "python-json-logger-2.0.7.tar.gz", hash = "sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c"},
     {file = "python_json_logger-2.0.7-py3-none-any.whl", hash = "sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd"},
@@ -2341,6 +2483,7 @@ name = "pytz"
 version = "2024.1"
 summary = "World timezone definitions, modern and historical"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
     {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
@@ -2351,7 +2494,7 @@ name = "pywin32"
 version = "306"
 summary = "Python for Window Extensions"
 groups = ["default"]
-marker = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""
+marker = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\" and python_full_version ~= \"3.12.5\""
 files = [
     {file = "pywin32-306-cp312-cp312-win32.whl", hash = "sha256:383229d515657f4e3ed1343da8be101000562bf514591ff383ae940cad65458b"},
     {file = "pywin32-306-cp312-cp312-win_amd64.whl", hash = "sha256:37257794c1ad39ee9be652da0462dc2e394c8159dfd913a8a4e8eb6fd346da0e"},
@@ -2364,7 +2507,7 @@ version = "0.2.3"
 requires_python = ">=3.6"
 summary = "A (partial) reimplementation of pywin32 using ctypes/cffi"
 groups = ["default"]
-marker = "sys_platform == \"win32\""
+marker = "sys_platform == \"win32\" and python_full_version ~= \"3.12.5\""
 files = [
     {file = "pywin32-ctypes-0.2.3.tar.gz", hash = "sha256:d162dc04946d704503b2edc4d55f3dba5c1d539ead017afa00142c38b9885755"},
     {file = "pywin32_ctypes-0.2.3-py3-none-any.whl", hash = "sha256:8a1513379d709975552d202d942d9837758905c8d01eb82b8bcc30918929e7b8"},
@@ -2376,7 +2519,7 @@ version = "2.0.13"
 requires_python = ">=3.8"
 summary = "Pseudo terminal support for Windows from Python."
 groups = ["default"]
-marker = "os_name == \"nt\""
+marker = "os_name == \"nt\" and python_full_version ~= \"3.12.5\""
 files = [
     {file = "pywinpty-2.0.13-cp312-none-win_amd64.whl", hash = "sha256:2fd876b82ca750bb1333236ce98488c1be96b08f4f7647cfdf4129dfad83c2d4"},
     {file = "pywinpty-2.0.13.tar.gz", hash = "sha256:c34e32351a3313ddd0d7da23d27f835c860d32fe4ac814d372a3ea9594f41dde"},
@@ -2388,6 +2531,7 @@ version = "6.0.2"
 requires_python = ">=3.8"
 summary = "YAML parser and emitter for Python"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "PyYAML-6.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab"},
     {file = "PyYAML-6.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725"},
@@ -2407,6 +2551,7 @@ version = "26.2.0"
 requires_python = ">=3.7"
 summary = "Python bindings for 0MQ"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "cffi; implementation_name == \"pypy\"",
 ]
@@ -2432,6 +2577,7 @@ version = "0.7.6"
 requires_python = ">=3.9"
 summary = "Generate API documentation with Quarto."
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "click",
     "griffe>=0.33",
@@ -2458,6 +2604,7 @@ version = "1.4b1"
 requires_python = ">=3.9"
 summary = "Fast and direct raster I/O for use with Numpy and SciPy"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "affine",
     "attrs",
@@ -2483,6 +2630,7 @@ version = "0.35.1"
 requires_python = ">=3.8"
 summary = "JSON Referencing + Python"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "attrs>=22.2.0",
     "rpds-py>=0.7.0",
@@ -2498,6 +2646,7 @@ version = "2.32.3"
 requires_python = ">=3.8"
 summary = "Python HTTP for Humans."
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "certifi>=2017.4.17",
     "charset-normalizer<4,>=2",
@@ -2514,6 +2663,7 @@ name = "resolvelib"
 version = "1.0.1"
 summary = "Resolve abstract dependencies into concrete ones"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "resolvelib-1.0.1-py2.py3-none-any.whl", hash = "sha256:d2da45d1a8dfee81bdd591647783e340ef3bcb104b54c383f70d422ef5cc7dbf"},
     {file = "resolvelib-1.0.1.tar.gz", hash = "sha256:04ce76cbd63fded2078ce224785da6ecd42b9564b1390793f64ddecbe997b309"},
@@ -2525,6 +2675,7 @@ version = "0.1.4"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 summary = "A pure python RFC3339 validator"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "six",
 ]
@@ -2539,6 +2690,7 @@ version = "0.1.1"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 summary = "Pure python rfc3986 validator"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9"},
     {file = "rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055"},
@@ -2550,6 +2702,7 @@ version = "13.8.0"
 requires_python = ">=3.7.0"
 summary = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "markdown-it-py>=2.2.0",
     "pygments<3.0.0,>=2.13.0",
@@ -2566,6 +2719,7 @@ version = "0.17.0"
 requires_python = ">=3.10"
 summary = "geospatial xarray extension powered by rasterio"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "numpy>=1.23",
     "packaging",
@@ -2584,6 +2738,7 @@ version = "0.20.0"
 requires_python = ">=3.8"
 summary = "Python bindings to Rust's persistent data structures (rpds)"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "rpds_py-0.20.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a84ab91cbe7aab97f7446652d0ed37d35b68a465aeef8fc41932a9d7eee2c1a6"},
     {file = "rpds_py-0.20.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:56e27147a5a4c2c21633ff8475d185734c0e4befd1c989b5b95a5d0db699b21b"},
@@ -2607,6 +2762,7 @@ version = "0.18.6"
 requires_python = ">=3.7"
 summary = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "ruamel-yaml-clib>=0.2.7; platform_python_implementation == \"CPython\" and python_version < \"3.13\"",
 ]
@@ -2621,7 +2777,7 @@ version = "0.2.8"
 requires_python = ">=3.6"
 summary = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml"
 groups = ["default"]
-marker = "platform_python_implementation == \"CPython\" and python_version < \"3.13\""
+marker = "platform_python_implementation == \"CPython\" and python_full_version ~= \"3.12.5\""
 files = [
     {file = "ruamel.yaml.clib-0.2.8-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:ebc06178e8821efc9692ea7544aa5644217358490145629914d8020042c24aa1"},
     {file = "ruamel.yaml.clib-0.2.8-cp312-cp312-macosx_13_0_arm64.whl", hash = "sha256:edaef1c1200c4b4cb914583150dcaa3bc30e592e907c01117c08b13a07255ec2"},
@@ -2640,6 +2796,7 @@ version = "1.13.1"
 requires_python = ">=3.9"
 summary = "Fundamental algorithms for scientific computing in Python"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "numpy<2.3,>=1.22.4",
 ]
@@ -2659,6 +2816,7 @@ version = "0.13.2"
 requires_python = ">=3.8"
 summary = "Statistical data visualization"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "matplotlib!=3.6.1,>=3.4",
     "numpy!=1.24.0,>=1.20",
@@ -2675,7 +2833,7 @@ version = "3.3.3"
 requires_python = ">=3.6"
 summary = "Python bindings to FreeDesktop.org Secret Service API"
 groups = ["default"]
-marker = "sys_platform == \"linux\""
+marker = "sys_platform == \"linux\" and python_full_version ~= \"3.12.5\""
 dependencies = [
     "cryptography>=2.0",
     "jeepney>=0.6",
@@ -2691,6 +2849,7 @@ version = "1.8.3"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 summary = "Send file to trash natively under Mac OS X, Windows and Linux"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "Send2Trash-1.8.3-py3-none-any.whl", hash = "sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9"},
     {file = "Send2Trash-1.8.3.tar.gz", hash = "sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf"},
@@ -2702,6 +2861,7 @@ version = "74.1.1"
 requires_python = ">=3.8"
 summary = "Easily download, build, install, upgrade, and uninstall Python packages"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "setuptools-74.1.1-py3-none-any.whl", hash = "sha256:fc91b5f89e392ef5b77fe143b17e32f65d3024744fba66dc3afe07201684d766"},
     {file = "setuptools-74.1.1.tar.gz", hash = "sha256:2353af060c06388be1cecbf5953dcdb1f38362f87a2356c480b6b4d5fcfc8847"},
@@ -2713,6 +2873,7 @@ version = "2.0.6"
 requires_python = ">=3.7"
 summary = "Manipulation and analysis of geometric objects"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "numpy<3,>=1.14",
 ]
@@ -2732,6 +2893,7 @@ version = "1.5.4"
 requires_python = ">=3.7"
 summary = "Tool to Detect Surrounding Shell"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
     {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
@@ -2743,6 +2905,7 @@ version = "1.16.0"
 requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 summary = "Python 2 and 3 compatibility utilities"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
@@ -2754,6 +2917,7 @@ version = "5.0.1"
 requires_python = ">=3.7"
 summary = "A pure Python implementation of a sliding window memory map manager"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
     {file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
@@ -2765,6 +2929,7 @@ version = "1.3.1"
 requires_python = ">=3.7"
 summary = "Sniff out which async library your code is running under"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -2776,6 +2941,7 @@ version = "1.0.0"
 requires_python = ">=3.6"
 summary = "Sans-I/O implementation of SOCKS4, SOCKS4A, and SOCKS5."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "socksio-1.0.0-py3-none-any.whl", hash = "sha256:95dc1f15f9b34e8d7b16f06d74b8ccf48f609af32ab33c608d08761c5dcbb1f3"},
     {file = "socksio-1.0.0.tar.gz", hash = "sha256:f88beb3da5b5c38b9890469de67d0cb0f9d494b78b106ca1845f96c10b91c4ac"},
@@ -2787,6 +2953,7 @@ version = "2.6"
 requires_python = ">=3.8"
 summary = "A modern CSS selector implementation for Beautiful Soup."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9"},
     {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"},
@@ -2798,6 +2965,7 @@ version = "2.3.1.1"
 requires_python = ">=3.8"
 summary = "Sphinx objects.inv Inspection/Manipulation Tool"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "attrs>=19.2",
     "certifi",
@@ -2813,6 +2981,7 @@ name = "stack-data"
 version = "0.6.3"
 summary = "Extract data from python stack frames and tracebacks for informative displays"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "asttokens>=2.1.0",
     "executing>=1.2.0",
@@ -2829,6 +2998,7 @@ version = "1.1.1"
 requires_python = ">=3.6,<4.0"
 summary = "Simple and safe python wrapper for calling system rsync"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "toml<0.11.0,>=0.10.0",
 ]
@@ -2843,6 +3013,7 @@ version = "0.9.0"
 requires_python = ">=3.7"
 summary = "Pretty-print tabular data"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -2854,6 +3025,7 @@ version = "2.4.0"
 requires_python = ">=3.8"
 summary = "ANSI color formatting for output in terminal"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "termcolor-2.4.0-py3-none-any.whl", hash = "sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63"},
     {file = "termcolor-2.4.0.tar.gz", hash = "sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a"},
@@ -2865,6 +3037,7 @@ version = "0.18.1"
 requires_python = ">=3.8"
 summary = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "ptyprocess; os_name != \"nt\"",
     "pywinpty>=1.1.0; os_name == \"nt\"",
@@ -2881,6 +3054,7 @@ version = "1.3.0"
 requires_python = ">=3.8"
 summary = "A tiny CSS parser"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "webencodings>=0.4",
 ]
@@ -2895,6 +3069,7 @@ version = "0.10.2"
 requires_python = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 summary = "Python Library for Tom's Obvious, Minimal Language"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
@@ -2906,6 +3081,7 @@ version = "0.13.2"
 requires_python = ">=3.8"
 summary = "Style preserving TOML library"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "tomlkit-0.13.2-py3-none-any.whl", hash = "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde"},
     {file = "tomlkit-0.13.2.tar.gz", hash = "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"},
@@ -2917,6 +3093,7 @@ version = "0.12.1"
 requires_python = ">=3.7"
 summary = "List processing tools and functional utilities"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "toolz-0.12.1-py3-none-any.whl", hash = "sha256:d22731364c07d72eea0a0ad45bafb2c2937ab6fd38a3507bf55eae8744aa7d85"},
     {file = "toolz-0.12.1.tar.gz", hash = "sha256:ecca342664893f177a13dac0e6b41cbd8ac25a358e5f215316d43e2100224f4d"},
@@ -2928,6 +3105,7 @@ version = "6.4.1"
 requires_python = ">=3.8"
 summary = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:163b0aafc8e23d8cdc3c9dfb24c5368af84a81e3364745ccb4427669bf84aec8"},
     {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:6d5ce3437e18a2b66fbadb183c1d3364fb03f2be71299e7d10dbeeb69f4b2a14"},
@@ -2948,6 +3126,7 @@ version = "4.66.5"
 requires_python = ">=3.7"
 summary = "Fast, Extensible Progress Meter"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "colorama; platform_system == \"Windows\"",
 ]
@@ -2962,6 +3141,7 @@ version = "5.14.3"
 requires_python = ">=3.8"
 summary = "Traitlets Python configuration system"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
     {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
@@ -2973,7 +3153,7 @@ version = "0.9.2"
 requires_python = ">=3.10"
 summary = "Verify certificates using native system trust stores"
 groups = ["default"]
-marker = "python_version >= \"3.10\""
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "truststore-0.9.2-py3-none-any.whl", hash = "sha256:04559916f8810cc1a5ecc41f215eddc988746067b754fc0995da7a2ceaf54735"},
     {file = "truststore-0.9.2.tar.gz", hash = "sha256:a1dee0d0575ff22d2875476343783a5d64575419974e228f3248772613c3d993"},
@@ -2985,6 +3165,7 @@ version = "0.12.5"
 requires_python = ">=3.7"
 summary = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "click>=8.0.0",
     "rich>=10.11.0",
@@ -3002,6 +3183,7 @@ version = "2.9.0.20240821"
 requires_python = ">=3.8"
 summary = "Typing stubs for python-dateutil"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "types-python-dateutil-2.9.0.20240821.tar.gz", hash = "sha256:9649d1dcb6fef1046fb18bebe9ea2aa0028b160918518c34589a46045f6ebd98"},
     {file = "types_python_dateutil-2.9.0.20240821-py3-none-any.whl", hash = "sha256:f5889fcb4e63ed4aaa379b44f93c32593d50b9a94c9a60a0c854d8cc3511cd57"},
@@ -3013,6 +3195,7 @@ version = "4.12.2"
 requires_python = ">=3.8"
 summary = "Backported and Experimental Type Hints for Python 3.8+"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
@@ -3024,6 +3207,7 @@ version = "2024.1"
 requires_python = ">=2"
 summary = "Provider of IANA time zone data"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
     {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
@@ -3035,6 +3219,7 @@ version = "0.17.2"
 requires_python = ">=3.8"
 summary = "A utility to fetch and download python packages"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "httpx<1,>=0.27.0",
     "packaging>=20",
@@ -3050,6 +3235,7 @@ version = "1.3.0"
 requires_python = ">=3.7"
 summary = "RFC 6570 URI Template Processor"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"},
     {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"},
@@ -3061,6 +3247,7 @@ version = "1.26.20"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 summary = "HTTP library with thread-safe connection pooling, file post, and more."
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "urllib3-1.26.20-py2.py3-none-any.whl", hash = "sha256:0ed14ccfbf1c30a9072c7ca157e4319b70d65f623e91e7b32fadb2853431016e"},
     {file = "urllib3-1.26.20.tar.gz", hash = "sha256:40c2dc0c681e47eb8f90e7e27bf6ff7df2e677421fd46756da1161c39ca70d32"},
@@ -3072,6 +3259,7 @@ version = "20.26.3"
 requires_python = ">=3.7"
 summary = "Virtual Python Environment builder"
 groups = ["default", "dev"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "distlib<1,>=0.3.7",
     "filelock<4,>=3.12.2",
@@ -3089,6 +3277,7 @@ version = "5.0.1"
 requires_python = ">=3.9"
 summary = "Filesystem events monitoring"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "watchdog-5.0.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:e321f1561adea30e447130882efe451af519646178d04189d6ba91a8cd7d88a5"},
     {file = "watchdog-5.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c4ae0b3e95455fa9d959aa3b253c87845ad454ef188a4bf5a69cab287c131216"},
@@ -3111,6 +3300,7 @@ name = "wcwidth"
 version = "0.2.13"
 summary = "Measures the displayed width of unicode strings in a terminal"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "backports-functools-lru-cache>=1.2.1; python_version < \"3.2\"",
 ]
@@ -3125,6 +3315,7 @@ version = "24.8.0"
 requires_python = ">=3.8"
 summary = "A library for working with the color formats defined by HTML and CSS."
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "webcolors-24.8.0-py3-none-any.whl", hash = "sha256:fc4c3b59358ada164552084a8ebee637c221e4059267d0f8325b3b560f6c7f0a"},
     {file = "webcolors-24.8.0.tar.gz", hash = "sha256:08b07af286a01bcd30d583a7acadf629583d1f79bfef27dd2c2c5c263817277d"},
@@ -3135,6 +3326,7 @@ name = "webencodings"
 version = "0.5.1"
 summary = "Character encoding aliases for legacy web content"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
     {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
@@ -3146,6 +3338,7 @@ version = "1.8.0"
 requires_python = ">=3.8"
 summary = "WebSocket client for Python with low level API options"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
     {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
@@ -3157,6 +3350,7 @@ version = "2024.7.0"
 requires_python = ">=3.9"
 summary = "N-D labeled arrays and datasets in Python"
 groups = ["default"]
+marker = "python_full_version ~= \"3.12.5\""
 dependencies = [
     "numpy>=1.23",
     "packaging>=23.1",
@@ -3173,6 +3367,7 @@ version = "3.20.1"
 requires_python = ">=3.8"
 summary = "Backport of pathlib-compatible object wrapper for zip files"
 groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
 files = [
     {file = "zipp-3.20.1-py3-none-any.whl", hash = "sha256:9960cd8967c8f85a56f920d5d507274e74f9ff813a0ab8889a5b5be2daf44064"},
     {file = "zipp-3.20.1.tar.gz", hash = "sha256:c22b14cc4763c5a5b04134207736c107db42e9d3ef2d9779d465f5f1bcba572b"},
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 6aa2f82a..7d8cfc82 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -19,7 +19,7 @@ maintainers = [
   {name="Dr Griffith Rees", email="grees@turing.ac.uk"},
 ]
 license = {text = "MIT"}
-requires-python = "==3.12.*"
+requires-python = ">=3.12.5"
 dependencies = [
     "tqdm>=4.66.4",
     "scipy<1.14",

From 9025257dc803fdbfa470d98cac8b0290755d3c2a Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Wed, 4 Sep 2024 09:53:26 +0100
Subject: [PATCH 69/92] feat: add `debug_mode` and filter repeated logs.
 Improve docs

---
 python/clim_recal/config.py       |  5 +++++
 python/clim_recal/utils/xarray.py |  7 ++++++-
 setup-instructions.md             | 25 +++++++++++++++----------
 3 files changed, 26 insertions(+), 11 deletions(-)

diff --git a/python/clim_recal/config.py b/python/clim_recal/config.py
index f6d625c7..05b2ae89 100644
--- a/python/clim_recal/config.py
+++ b/python/clim_recal/config.py
@@ -5,6 +5,7 @@
 from pathlib import Path
 from typing import Any, Final, Sequence, TypedDict
 
+from osgeo import gdal
 from tqdm import TqdmExperimentalWarning, tqdm
 
 from .debiasing.debias_wrapper import BaseRunConfig, RunConfig, RunConfigType
@@ -74,6 +75,8 @@ class ClimRecalConfig(BaseRunConfig):
         A `dict` of parameters to pass to a `CPMResamplerManager`.
     hads_kwargs
         A `dict` of parameters to pass to `HADsResamplerManager`.
+    debug_mode
+        Set to `True` to add more detailed debug logs, including `GDAL`.
 
     Examples
     --------
@@ -111,6 +114,7 @@ class ClimRecalConfig(BaseRunConfig):
     add_local_dated_crops_path: bool = True
     local_dated_results_path_prefix: str = "run"
     local_dated_crops_path_prefix: str = "crop"
+    debug_mode: bool = False
 
     @property
     def resample_path(self) -> Path:
@@ -211,6 +215,7 @@ def __post_init__(self) -> None:
         `VariableOptions.cpm_values()`, that occurs within `CPMResamplerManager`
         for ease of comparability with HADs.
         """
+        gdal.UseExceptions() if self.debug_mode else gdal.DontUseExceptions()
         self.cpm_manager = CPMResamplerManager(
             input_paths=self.cpm_input_path,
             variables=self.variables,
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 5ef28af9..23b653a7 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -1,3 +1,4 @@
+import warnings
 from datetime import date, datetime, timedelta
 from logging import getLogger
 from os import PathLike
@@ -159,7 +160,11 @@ def check_xarray_path_and_var_name(
 ) -> tuple[Dataset, str]:
     """Check and return a `T_Dataset` instances and included variable name."""
     if isinstance(xr_time_series, PathLike):
-        xr_time_series = open_dataset(xr_time_series, decode_coords="all")
+        with warnings.catch_warnings():
+            # Filter repeating warning such as:
+            # UserWarning: Variable(s) referenced in bounds not in variables: ['time_bnds']
+            warnings.simplefilter(action="once", category=UserWarning)
+            xr_time_series = open_dataset(xr_time_series, decode_coords="all")
     try:
         assert isinstance(xr_time_series, Dataset)
     except AssertionError:
diff --git a/setup-instructions.md b/setup-instructions.md
index 5b4c33e9..72f572ad 100644
--- a/setup-instructions.md
+++ b/setup-instructions.md
@@ -29,21 +29,26 @@ docker compose up jupyter
 clim-recal --help
 ```
 ::: {.callout-warning}
-There are cases where `pdm install` raises a `KeyError: '_PYPROJECT_HOOKS_BUILD_BACKEND'`. Thus far, running `pdm install` again works.
+There are cases where `pdm install` raises a
+`KeyError: '_PYPROJECT_HOOKS_BUILD_BACKEND'`. Thus far, running `pdm install`
+again works.
 :::
 
-```console
-$ clim-recal --help
+# Options
+
+Once installed the `clim-recal` command can be run with files. The settings
+below are specific to a server
+
+```bash
+clim-recal --help
 
  Usage: clim-recal [OPTIONS]
 
  Crop and align UK climate projections and test debias methods.
 
 ╭─ Options ──────────────────────────────────────────────────────────────╮
-│ --hads-input-path     -d      PATH                [default:            │
-│                                                   /Volumes/vmfileshar… │
-│ --cpm-input-path      -o      PATH                [default:            │
-│                                                   /Volumes/vmfileshar… │
+│ --hads-input-path     -d      PATH                [default: .]         │
+│ --cpm-input-path      -o      PATH                [default: .]         │
 │ --output-path         -o      DIRECTORY           [default:            │
 │                                                   clim-recal-runs]     │
 │ --variable            -v      [tasmax|rainfall|t  [default: tasmax]    │
@@ -85,18 +90,18 @@ $ clim-recal --help
 │ --help                                            Show this message    │
 │                                                   and exit.            │
 ╰────────────────────────────────────────────────────────────────────────╯
-
 ```
 
-# Python
+# Conda/Mamba Python
 
 ## `Conda` / `Mamba`
 
-At present either `conda` or `mamba` are needed to use `clim-recal`. Installation instructions for these are available:
+More detailed examples using `conda` or `mamba` are below. Installation instructions for either these are available:
 
 - `conda`: <https://conda.io/projects/conda/en/latest/user-guide/install/index.html>
 - `mamba`: <https://mamba.readthedocs.io/en/latest/installation/mamba-installation.html>
 
+These options are primarily to ease use of `GDAL` and optionally `rsync`.
 
 <!--
 We support two main options for installing the `python` components:

From 3263ffc1b2e39ed80a89e59687e744683cc0888d Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Wed, 4 Sep 2024 10:44:06 +0100
Subject: [PATCH 70/92] doc: include Generated Datasets in doc navigation

---
 _quarto.yml             | 4 +++-
 compose/docs/Dockerfile | 4 ++--
 docs/datasets.qmd       | 2 +-
 3 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/_quarto.yml b/_quarto.yml
index c918a5cd..42a76eb3 100644
--- a/_quarto.yml
+++ b/_quarto.yml
@@ -43,6 +43,8 @@ website:
         href: "setup-instructions.md"
       - text: "Pipeline"
         href: "docs/pipeline_guidance.qmd"
+      - text: "Generated Datasets"
+        href: "docs/datasets.qmd"
       # - section: "Pipeline"
       #   contents:
       #     - text: "Guidance"
@@ -109,7 +111,7 @@ quartodoc:
   # see: https://github.com/alan-turing-institute/clim-recal/issues/128
   sections:
     - title: Data Source Management
-      desc: How data is downloaded for use
+      desc: How data is downloaded and processed
       contents:
         # the functions being documented in the package.
         # you can refer to anything: class methods, modules, etc..
diff --git a/compose/docs/Dockerfile b/compose/docs/Dockerfile
index 2c1304d8..f46ae8ff 100644
--- a/compose/docs/Dockerfile
+++ b/compose/docs/Dockerfile
@@ -8,7 +8,7 @@ ARG EXTERNAL_PORT=$LOCAL_PORT
 # an ARG
 ENV HOST_IP=0.0.0.0
 ENV LOCAL_PORT=${LOCAL_PORT}
-ARG py_ver=3.12
+ARG py_ver=3.15
 ENV DEBIAN_FRONTEND=noninteractive
 
 COPY . /app
@@ -24,7 +24,7 @@ USER root
 
 # Install the local python environment set via
 # `pre-commit` in .conda-linux-64
-RUN micromamba create -f .conda-linux-64.lock -n clim-recal
+RUN micromamba create -n clim-recal gdal=3.8.5 pdm rsync quartodoc jupyter -c conda-forge
 
 
 CMD micromamba run -n clim-recal quartodoc build && \
diff --git a/docs/datasets.qmd b/docs/datasets.qmd
index 0b27240d..30ee73cd 100644
--- a/docs/datasets.qmd
+++ b/docs/datasets.qmd
@@ -1,5 +1,5 @@
 ---
-title: Exported Datasets
+title: Generated Datasets
 ---
 Thanks for your interest in the `clim-recal` data and metrics. We plan to release a set of combined observation and simulation datasets for three cities in the UK and invite authors of bias correction methods to benchmark their methods for those cities.
 

From 97a29367749badfe390f4ba72d819974aa6fc69c Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Wed, 4 Sep 2024 11:05:31 +0100
Subject: [PATCH 71/92] fix: set `root` permission for `jupyter` `docker` for
 server

---
 compose.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/compose.yml b/compose.yml
index 3df8628b..8373093a 100644
--- a/compose.yml
+++ b/compose.yml
@@ -6,7 +6,7 @@ services:
       dockerfile: ./compose/jupyter/Dockerfile
     ports:
       - "8888:8888"
-    # user: root
+    user: root
     environment:
       - NB_UID=1000
       - NB_GID=100

From 12a3dc9f183d8212501f94b1c06fbc6d809e4b86 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Thu, 5 Sep 2024 02:29:16 +0100
Subject: [PATCH 72/92] refactor: ` _gen_resample_folder_paths` and
 `_gen_crop_folder_paths` in `resample.py`

---
 python/clim_recal/resample.py | 235 ++++++++++++++++++----------------
 1 file changed, 128 insertions(+), 107 deletions(-)

diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index 64938f93..51f4e533 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -682,7 +682,9 @@ class HADsResamplerManager:
     )
     variables: Sequence[VariableOptions | str] = (VariableOptions.default(),)
     crop_regions: tuple[RegionOptions | str, ...] | None = RegionOptions.all()
-    crop_paths: PathLike = RESAMPLING_OUTPUT_PATH / HADS_CROP_OUTPUT_LOCAL_PATH
+    crop_paths: Sequence[PathLike] | PathLike = (
+        RESAMPLING_OUTPUT_PATH / HADS_CROP_OUTPUT_LOCAL_PATH
+    )
     sub_path: Path = Path("day")
     start_index: int = 0
     stop_index: int | None = None
@@ -692,11 +694,11 @@ class HADsResamplerManager:
     config_default_kwargs: dict[str, Any] = field(default_factory=dict)
     resampler_class: type[HADsResampler] = HADsResampler
     cpus: int | None = None
-    _var_path_dict: dict[PathLike, VariableOptions | str] = field(default_factory=dict)
-    _var_resampled_path_dict: dict[PathLike, VariableOptions | str] = field(
+    _input_path_dict: dict[Path, str] = field(default_factory=dict)
+    _resampled_path_dict: dict[PathLike, VariableOptions | str] = field(
         default_factory=dict
     )
-    _var_cropped_path_dict: dict[PathLike, VariableOptions | str] = field(
+    _cropped_path_dict: dict[PathLike, VariableOptions | str] = field(
         default_factory=dict
     )
     _strict_fail_if_var_in_input_path: bool = True
@@ -709,6 +711,8 @@ class VarirableInBaseImportPathError(Exception):
 
     def __post_init__(self) -> None:
         """Populate config attributes."""
+        if not self.crop_regions:
+            self.crop_regions = ()
         self.check_paths()
         self.total_cpus: int | None = cpu_count()
         if not self.cpus:
@@ -746,49 +750,53 @@ def __repr__(self) -> str:
             f"input_paths_count={len(self.input_paths) if isinstance(self.input_paths, Sequence) else 1})>"
         )
 
-    def _gen_input_folder_paths(
-        self,
-        path: PathLike,
-        append_var_path_dict: bool = False,
-    ) -> Iterator[Path]:
-        """Yield input paths of `self.variables` and `self.runs`."""
-        var_path: Path
-        for var in self.variables:
-            var_path = Path(path) / var / self.sub_path
-            if append_var_path_dict:
-                self._var_path_dict[var_path] = var
-            yield var_path
+    # def _gen_input_folder_paths(
+    #     self,
+    #     path: PathLike,
+    #     append_var_path_dict: bool = False,
+    # ) -> Iterator[Path]:
+    #     """Yield input paths of `self.variables` and `self.runs`."""
+    #     var_path: Path
+    #     for var in self.variables:
+    #         var_path = Path(path) / var / self.sub_path
+    #         if append_var_path_dict:
+    #             self._path_dict[var_path] = var
+    #         yield var_path
 
     def _gen_resample_folder_paths(
         self,
         path: PathLike,
+        append_input_path_dict: bool = False,
         append_resampled_path_dict: bool = False,
-    ) -> Iterator[Path]:
+    ) -> Iterator[tuple[Path, Path]]:
         """Yield paths of resampled `self.variables` and `self.runs`."""
-        var_path: Path
         for var in self.variables:
-            var_path = Path(path) / var
-            # Originally used to managed input_data paths like "latest"
-            # Likely unneeded since _gen_input_folder_paths added
-            # if input_sub_path:
-            #     var_path /= self.sub_path
+            input_path: Path = Path(path) / var / self.sub_path
+            resample_path: Path = Path(path) / var
+            if append_input_path_dict:
+                self._input_path_dict[input_path] = var
             if append_resampled_path_dict:
-                self._var_resampled_path_dict[var_path] = var
-            yield var_path
+                self._resampled_path_dict[resample_path] = var
+            yield input_path, resample_path
 
     def _gen_crop_folder_paths(
-        self, path: PathLike, append_var_cropped_path_dict: bool = False
-    ) -> Iterator[Path]:
+        self, path: PathLike, append_cropped_path_dict: bool = False
+    ) -> Iterator[Path | None]:
         """Return a Generator of paths of `self.variables` and `self.crops`."""
-        var_path: Path
+        if not self.crop_regions:
+            return None
+        if not self._resampled_path_dict:
+            self._gen_resample_folder_paths(
+                self.input_paths,
+                append_input_path_dict=True,
+                append_resampled_path_dict=True,
+            )
         for var in self.variables:
             for region in self.crop_regions:
-                var_path = Path(path) / var / region
-                if append_var_cropped_path_dict:
-                    self._var_cropped_path_dict[var_path] = var
-                    # Todo: remove below when crop testing complete
-                    # self._var_cropped_path_dict[var].append(var_path)
-                yield var_path
+                crop_path = Path(path) / var / region
+                if append_cropped_path_dict:
+                    self._cropped_path_dict[crop_path] = var
+                yield crop_path
 
     def check_paths(
         self, run_set_data_paths: bool = True, run_set_crop_paths: bool = True
@@ -796,7 +804,7 @@ def check_paths(
         """Check if all `self.input_paths` exist."""
 
         if run_set_data_paths:
-            self.set_input_paths()
+            # self.set_input_paths()
             self.set_resample_paths()
         if run_set_crop_paths:
             self.set_crop_paths()
@@ -823,19 +831,20 @@ def check_paths(
                 else:
                     raise FileExistsError(message)
             try:
-                assert path in self._var_path_dict
+                assert path in self._input_path_dict
             except:
                 NotImplemented(
-                    f"Syncing `self._var_path_dict` with changes to `self.input_paths`."
+                    f"Syncing `self._input_path_dict` with changes to `self.input_paths`."
                 )
 
-    def set_input_paths(self):
+    def _set_input_paths(self):
         """Propagate `self.input_paths` if needed."""
         if isinstance(self.input_paths, PathLike):
             self._input_path = self.input_paths
             self.input_paths = tuple(
-                self._gen_input_folder_paths(
-                    self.input_paths, append_var_path_dict=True
+                input_path
+                for input_path, _ in self._gen_resample_folder_paths(
+                    self.input_paths, append_input_path_dict=True
                 )
             )
             if self._strict_fail_if_var_in_input_path:
@@ -851,10 +860,12 @@ def set_input_paths(self):
 
     def set_resample_paths(self):
         """Propagate `self.resample_paths` if needed."""
+        self._set_input_paths()
         if isinstance(self.resample_paths, PathLike):
             self._output_path = self.resample_paths
             self.resample_paths = tuple(
-                self._gen_resample_folder_paths(
+                resample_path
+                for _, resample_path in self._gen_resample_folder_paths(
                     self.resample_paths, append_resampled_path_dict=True
                 )
             )
@@ -865,21 +876,37 @@ def set_crop_paths(self):
             self._crop_path = self.crop_paths
             self.crop_paths = tuple(
                 self._gen_crop_folder_paths(
-                    self.crop_paths, append_var_cropped_path_dict=True
+                    self.crop_paths, append_cropped_path_dict=True
                 )
             )
 
     def yield_configs(self) -> Iterable[HADsResampler]:
+        """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
+        self.check_paths()
+        assert isinstance(self.resample_paths, Iterable)
+        # assert isinstance(self.crop_paths, Iterable)
+        for index, var_path in enumerate(self._input_path_dict.items()):
+            yield self.resampler_class(
+                input_path=var_path[0],
+                output_path=self.resample_paths[index],
+                variable_name=var_path[1],
+                start_index=self.start_index,
+                stop_index=self.stop_index,
+                **self.config_default_kwargs,
+            )
+
+    def yield_crop_configs(self) -> Iterable[HADsResampler]:
         """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
         self.check_paths()
         assert isinstance(self.input_paths, Iterable)
         assert isinstance(self.resample_paths, Iterable)
-        for index, var_path in enumerate(self._var_path_dict.items()):
-            for crop_path, region in self._var_cropped_path_dict.items():
+        assert isinstance(self.crop_paths, Iterable)
+        for index, input_resample_paths in enumerate(self._resampled_path_dict.items()):
+            for crop_path, region in self._cropped_path_dict.items():
                 yield self.resampler_class(
-                    input_path=var_path[0],
+                    input_path=input_resample_paths[0],
                     output_path=self.resample_paths[index],
-                    variable_name=var_path[1],
+                    variable_name=input_resample_paths[1],
                     start_index=self.start_index,
                     stop_index=self.stop_index,
                     crop_path=crop_path,
@@ -889,22 +916,6 @@ def yield_configs(self) -> Iterable[HADsResampler]:
                     **self.config_default_kwargs,
                 )
 
-    #
-    def yield_crop_configs(self) -> Iterable[HADsResampler]:
-        """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
-        self.check_paths()
-        assert isinstance(self.resample_paths, Iterable)
-        assert isinstance(self.crop_path, Iterable)
-        for index, var_path in enumerate(self._var_path_dict.items()):
-            yield self.resampler_class(
-                input_path=var_path[0],
-                output_path=self.resample_paths[index],
-                variable_name=var_path[1],
-                start_index=self.start_index,
-                stop_index=self.stop_index,
-                **self.config_default_kwargs,
-            )
-
     def __len__(self) -> int:
         """Return the length of `self.input_files`."""
         return (
@@ -975,9 +986,10 @@ def execute_crop_configs(
             Number of `cpus` to pass to `multiprocess_execute`.
         """
         croppers: tuple[CPMResampler | HADsResampler, ...] = tuple(
-            self.yield_configs(
-                input_path=self.resample_paths, output_path=self.crop_path
-            )
+            # self.yield_configs(
+            #     input_path=self.resample_paths, output_path=self.crop_path
+            # )
+            self.yield_crop_configs()
         )
         results: list[list[Path] | None] = []
         if multiprocess:
@@ -1005,6 +1017,7 @@ class CPMResamplerManager(HADsResamplerManager):
     >>> cpm_resampler_manager: CPMResamplerManager = CPMResamplerManager(
     ...     stop_index=9,
     ...     resample_paths=resample_test_cpm_output_path,
+    ...     crop_paths=resample_test_cpm_output_path,
     ...     )
     >>> cpm_resampler_manager
     <CPMResamplerManager(variables_count=1, runs_count=4,
@@ -1012,18 +1025,18 @@ class CPMResamplerManager(HADsResamplerManager):
     >>> configs: tuple[CPMResampler, ...] = tuple(
     ...     cpm_resampler_manager.yield_configs())
     >>> pprint(configs)
-    (<CPMResampler(count=10, max_count=100,
+    (<CPMResampler(count=9, max_count=100,
                    input_path='.../tasmax/05/latest',
-                   output_path='.../tasmax/05/latest')>,
-     <CPMResampler(count=10, max_count=100,
+                   output_path='.../cpm/tasmax/05')>,
+     <CPMResampler(count=9, max_count=100,
                    input_path='.../tasmax/06/latest',
-                   output_path='.../tasmax/06/latest')>,
-     <CPMResampler(count=10, max_count=100,
+                   output_path='.../cpm/tasmax/06')>,
+     <CPMResampler(count=9, max_count=100,
                    input_path='.../tasmax/07/latest',
-                   output_path='.../tasmax/07/latest')>,
-     <CPMResampler(count=10, max_count=100,
+                   output_path='.../cpm/tasmax/07')>,
+     <CPMResampler(count=9, max_count=100,
                    input_path='.../tasmax/08/latest',
-                   output_path='.../tasmax/08/latest')>)
+                   output_path='.../cpm/tasmax/08')>)
     """
 
     input_paths: PathLike | Sequence[PathLike] = RAW_CPM_PATH
@@ -1054,68 +1067,76 @@ def __repr__(self) -> str:
             f"input_paths_count={len(self.input_paths) if isinstance(self.input_paths, Sequence) else 1})>"
         )
 
-    def _gen_input_folder_paths(
-        self, path: PathLike, append_var_path_dict: bool = False, cpm_paths: bool = True
-    ) -> Iterator[Path]:
-        """Yield input paths of `self.variables` and `self.runs`."""
-        var_path: Path
-        for var in self.variables:
-            for run_type in self.runs:
-                if cpm_paths:
-                    var_path: Path = (
-                        Path(path)
-                        / VariableOptions.cpm_value(var)
-                        / run_type
-                        / self.sub_path
-                    )
-                else:
-                    var_path: Path = Path(path) / var / run_type / self.sub_path
-                if append_var_path_dict:
-                    self._var_path_dict[var_path] = var
-                    # Todo: remove below once testing confirms _var_path_dict works
-                    # self._var_path_dict[var].append(var_path)
-                yield var_path
+    # def _gen_input_folder_paths(
+    #     self, path: PathLike, append_var_path_dict: bool = False, cpm_paths: bool = True
+    # ) -> Iterator[Path]:
+    #     """Yield input paths of `self.variables` and `self.runs`."""
+    #     var_path: Path
+    #     for var in self.variables:
+    #         for run_type in self.runs:
+    #             if cpm_paths:
+    #                 var_path: Path = (
+    #                     Path(path)
+    #                     / VariableOptions.cpm_value(var)
+    #                     / run_type
+    #                     / self.sub_path
+    #                 )
+    #             else:
+    #                 var_path: Path = Path(path) / var / run_type / self.sub_path
+    #             if append_var_path_dict:
+    #                 self._var_path_dict[var_path] = var
+    #                 # Todo: remove below once testing confirms _var_path_dict works
+    #                 # self._var_path_dict[var].append(var_path)
+    #             yield var_path
 
     def _gen_resample_folder_paths(
         self,
         path: PathLike,
+        append_input_path_dict: bool = False,
         append_resampled_path_dict: bool = False,
         cpm_paths: bool = True,
-    ) -> Iterator[Path]:
+    ) -> Iterator[tuple[Path, Path]]:
         """Return a Generator of paths of `self.variables` and `self.runs`."""
-        var_path: Path
         for var in self.variables:
             for run_type in self.runs:
                 if cpm_paths:
-                    var_path: Path = (
+                    input_path: Path = (
+                        Path(path)
+                        / VariableOptions.cpm_value(var)
+                        / run_type
+                        / self.sub_path
+                    )
+                    resample_path: Path = (
                         Path(path) / VariableOptions.cpm_value(var) / run_type
                     )
                 else:
-                    var_path: Path = Path(path) / var / run_type
+                    input_path = Path(path) / var / run_type / self.sub_path
+                    resample_path = Path(path) / var / run_type
+                if append_input_path_dict:
+                    self._input_path_dict[input_path] = var
                 if append_resampled_path_dict:
-                    self._var_resampled_path_dict[var_path] = var
-                yield var_path
+                    self._resampled_path_dict[resample_path] = var
+                yield input_path, resample_path
 
     def _gen_crop_folder_paths(
         self,
         path: PathLike,
-        append_var_cropped_path_dict: bool = False,
+        append_cropped_path_dict: bool = False,
         cpm_paths: bool = True,
     ) -> Iterator[Path]:
         """Return a Generator of paths of `self.variables` and `self.crops`."""
-        var_path: Path
         for var in self.variables:
             for region in self.crop_regions:
                 for run_type in self.runs:
                     if cpm_paths:
-                        var_path: Path = (
+                        crop_path: Path = (
                             Path(path)
                             / VariableOptions.cpm_value(var)
                             / region
                             / run_type
                         )
                     else:
-                        var_path: Path = Path(path) / var / region / run_type
-                    if append_var_cropped_path_dict:
-                        self._var_cropped_path_dict[var_path] = var
-                    yield var_path
+                        crop_path: Path = Path(path) / var / region / run_type
+                    if append_cropped_path_dict:
+                        self._cropped_path_dict[crop_path] = var
+                    yield crop_path

From 69680dd4b8131bcce549ab75cef505ff3c7ac6e9 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Thu, 5 Sep 2024 02:30:15 +0100
Subject: [PATCH 73/92] fix: `docker` `compose` `linux` permissions tweak

---
 compose.yml               | 3 +--
 compose/linux-compose.yml | 3 +++
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/compose.yml b/compose.yml
index 8373093a..71c13e82 100644
--- a/compose.yml
+++ b/compose.yml
@@ -6,11 +6,10 @@ services:
       dockerfile: ./compose/jupyter/Dockerfile
     ports:
       - "8888:8888"
-    user: root
+    # user: root
     environment:
       - NB_UID=1000
       - NB_GID=100
-      - NB_GROUP=users
       - CHOWN_HOME=yes
       - CHOWN_HOME_OPTS=-R
       - JUPYTER_ENABLE_LAB=yes
diff --git a/compose/linux-compose.yml b/compose/linux-compose.yml
index 9a408dec..5fa5296a 100644
--- a/compose/linux-compose.yml
+++ b/compose/linux-compose.yml
@@ -1,6 +1,9 @@
 services:
 
   jupyter:
+    environment:
+      - NB_UID=1001
+      - NB_GID=1001
     volumes:
       - /mnt/vmfileshare:/mnt/vmfileshare
 

From e37f9b46a1d6434e3e5ee725c7d685b38864d476 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Thu, 5 Sep 2024 03:13:36 +0100
Subject: [PATCH 74/92] fix: add `.git` to `.dockerignore` and `root` to
 `ua-linux-compose.yml`

---
 .dockerignore                                       | 1 +
 compose/jupyter/Dockerfile                          | 2 +-
 compose/{linux-compose.yml => ua-linux-compose.yml} | 1 +
 3 files changed, 3 insertions(+), 1 deletion(-)
 rename compose/{linux-compose.yml => ua-linux-compose.yml} (93%)

diff --git a/.dockerignore b/.dockerignore
index 4c216545..e11565f4 100644
--- a/.dockerignore
+++ b/.dockerignore
@@ -15,3 +15,4 @@ python/tests/data/test-run-results*
 .**/*
 !.conda-linux-64.lock
 !python/tests/data/local-cache
+.git
diff --git a/compose/jupyter/Dockerfile b/compose/jupyter/Dockerfile
index 8a3a93c2..19e66e48 100644
--- a/compose/jupyter/Dockerfile
+++ b/compose/jupyter/Dockerfile
@@ -23,7 +23,7 @@ COPY . .
 
 RUN chown -R ${NB_USER}:${NB_GID} /home/${NB_USER}
 
-USER ${NB_UID}
+USER ${NB_USER}
 
 RUN conda create -n ${env_name}
 # Todo: either return to an update to environment.yml or document this
diff --git a/compose/linux-compose.yml b/compose/ua-linux-compose.yml
similarity index 93%
rename from compose/linux-compose.yml
rename to compose/ua-linux-compose.yml
index 5fa5296a..eff20e56 100644
--- a/compose/linux-compose.yml
+++ b/compose/ua-linux-compose.yml
@@ -1,6 +1,7 @@
 services:
 
   jupyter:
+    user: root
     environment:
       - NB_UID=1001
       - NB_GID=1001

From a51810c96b18de5aa9d33b296bc112ed76c99160 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Thu, 5 Sep 2024 11:51:26 +0100
Subject: [PATCH 75/92] fix: `ignore` `UserWarning` in `xr_time_series`

---
 python/clim_recal/utils/xarray.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 23b653a7..ebeee112 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -156,14 +156,17 @@ def cftime360_to_date(cf_360: Datetime360Day) -> date:
 
 
 def check_xarray_path_and_var_name(
-    xr_time_series: T_Dataset | PathLike, variable_name: str | None
+    xr_time_series: T_Dataset | PathLike,
+    variable_name: str | None,
+    ignore_warnings: bool = True,
 ) -> tuple[Dataset, str]:
     """Check and return a `T_Dataset` instances and included variable name."""
     if isinstance(xr_time_series, PathLike):
         with warnings.catch_warnings():
             # Filter repeating warning such as:
             # UserWarning: Variable(s) referenced in bounds not in variables: ['time_bnds']
-            warnings.simplefilter(action="once", category=UserWarning)
+            if ignore_warnings:
+                warnings.simplefilter(action="ignore", category=UserWarning)
             xr_time_series = open_dataset(xr_time_series, decode_coords="all")
     try:
         assert isinstance(xr_time_series, Dataset)

From 738bfa1b05c68817257c296dc3ba062bb14b30fd Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Thu, 5 Sep 2024 13:24:56 +0100
Subject: [PATCH 76/92] refactor: remove `grid` attributes and methods from
 `ResampleBase`

---
 python/clim_recal/resample.py | 67 +++++++++++++++++------------------
 python/tests/test_resample.py | 18 +++++-----
 2 files changed, 41 insertions(+), 44 deletions(-)

diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index 51f4e533..1e834989 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -15,7 +15,6 @@
 import dill as pickle
 import numpy as np
 import rioxarray  # nopycln: import
-from numpy.typing import NDArray
 from osgeo.gdal import GRA_NearestNeighbour
 from rich import print
 from tqdm.rich import trange
@@ -112,14 +111,14 @@ class ResamblerBase:
     input_path: PathLike | None = RAW_HADS_TASMAX_PATH
     output_path: PathLike = RESAMPLING_OUTPUT_PATH / HADS_OUTPUT_LOCAL_PATH
     variable_name: VariableOptions | str = VariableOptions.default()
-    grid: PathLike | T_Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
+    # grid: PathLike | T_Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
     input_files: Iterable[PathLike] | None = None
     cpus: int | None = None
     crop_regions: tuple[RegionOptions | str, ...] | None = RegionOptions.all()
     crop_path: PathLike = RESAMPLING_OUTPUT_PATH / HADS_CROP_OUTPUT_LOCAL_PATH
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG
-    grid_x_column_name: str = HADS_XDIM
-    grid_y_column_name: str = HADS_YDIM
+    # grid_x_column_name: str = HADS_XDIM
+    # grid_y_column_name: str = HADS_YDIM
     input_file_extension: NETCDF_OR_TIF = NETCDF_EXTENSION_STR
     export_file_extension: NETCDF_OR_TIF = NETCDF_EXTENSION_STR
     resolution_relative_path: Path = HADS_2_2K_RESOLUTION_PATH
@@ -136,7 +135,7 @@ def __post_init__(self) -> None:
             raise AttributeError(
                 f"'input_path' or 'input_file' are None; at least one must be set."
             )
-        self.set_grid_x_y()
+        # self.set_grid_x_y()
         self.set_input_files()
         Path(self.output_path).mkdir(parents=True, exist_ok=True)
         if self.crop_regions:
@@ -278,29 +277,29 @@ def range_to_reprojection(
             source_to_index=source_to_index,
         )
 
-    def set_grid_x_y(
-        self,
-        grid_x_column_name: str | None = None,
-        grid_y_column_name: str | None = None,
-    ) -> None:
-        """Set the `x` `y` values via `grid_x_column_name` and `grid_y_column_name`.
-
-        Parameters
-        ----------
-        grid_x_column_name
-            Name of column in `self.grid` `Dataset` to extract to `self.x`.
-            If `None` use `self.grid_x_column_name`, else overwrite.
-        grid_y_column_name
-            Name of column in `self.grid` `Dataset` to extract to `self.y`.
-            If `None` use `self.grid_y_column_name`, else overwrite.
-        """
-        if self.grid is None or isinstance(self.grid, PathLike):
-            self.set_grid()
-        assert isinstance(self.grid, Dataset)
-        self.grid_x_column_name = grid_x_column_name or self.grid_x_column_name
-        self.grid_y_column_name = grid_y_column_name or self.grid_y_column_name
-        self.x: NDArray = self.grid[self.grid_x_column_name][:].values
-        self.y: NDArray = self.grid[self.grid_y_column_name][:].values
+    # def set_grid_x_y(
+    #     self,
+    #     grid_x_column_name: str | None = None,
+    #     grid_y_column_name: str | None = None,
+    # ) -> None:
+    #     """Set the `x` `y` values via `grid_x_column_name` and `grid_y_column_name`.
+    #
+    #     Parameters
+    #     ----------
+    #     grid_x_column_name
+    #         Name of column in `self.grid` `Dataset` to extract to `self.x`.
+    #         If `None` use `self.grid_x_column_name`, else overwrite.
+    #     grid_y_column_name
+    #         Name of column in `self.grid` `Dataset` to extract to `self.y`.
+    #         If `None` use `self.grid_y_column_name`, else overwrite.
+    #     """
+    #     if self.grid is None or isinstance(self.grid, PathLike):
+    #         self.set_grid()
+    #     assert isinstance(self.grid, Dataset)
+    #     self.grid_x_column_name = grid_x_column_name or self.grid_x_column_name
+    #     self.grid_y_column_name = grid_y_column_name or self.grid_y_column_name
+    #     self.x: NDArray = self.grid[self.grid_x_column_name][:].values
+    #     self.y: NDArray = self.grid[self.grid_y_column_name][:].values
 
     def execute(self, skip_spatial: bool = False, **kwargs) -> list[Path] | None:
         """Run all steps for processing"""
@@ -433,9 +432,9 @@ class HADsResampler(ResamblerBase):
         Path or file to spatially crop `input_files` with.
     final_crs
         Coordinate Reference System (CRS) to return final format in.
-    grid_x_column_name
+    input_file_x_column_name
         Column name in `input_files` or `input` for `x` coordinates.
-    grid_y_column_name
+    input_file_y_column_name
         Column name in `input_files` or `input` for `y` coordinates.
     input_file_extension
         File extensions to glob `input_files` with.
@@ -472,8 +471,8 @@ class HADsResampler(ResamblerBase):
     cpus: int | None = None
     crop_path: PathLike = RESAMPLING_OUTPUT_PATH / HADS_CROP_OUTPUT_LOCAL_PATH
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG
-    grid_x_column_name: str = HADS_XDIM
-    grid_y_column_name: str = HADS_YDIM
+    # grid_x_column_name: str = HADS_XDIM
+    # grid_y_column_name: str = HADS_YDIM
     input_file_extension: NETCDF_OR_TIF = NETCDF_EXTENSION_STR
     export_file_extension: NETCDF_OR_TIF = NETCDF_EXTENSION_STR
     # resolution_relative_path: Path = HADS_2_2K_RESOLUTION_PATH
@@ -559,9 +558,9 @@ class CPMResampler(ResamblerBase):
         Path or file to spatially crop `input_files` with.
     final_crs
         Coordinate Reference System (CRS) to return final format in.
-    grid_x_column_name
+    input_file_x_column_name
         Column name in `input_files` or `input` for `x` coordinates.
-    grid_y_column_name
+    input_file_y_column_name
         Column name in `input_files` or `input` for `y` coordinates.
     input_file_extension
         File extensions to glob `input_files` with.
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index d6d1586b..89ab67e5 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -4,8 +4,6 @@
 
 import numpy as np
 import pytest
-
-# from matplotlib import pyplot as plt
 from numpy.testing import assert_allclose
 from numpy.typing import NDArray
 from osgeo.gdal import Dataset as GDALDataset
@@ -50,7 +48,6 @@
     interpolate_coords,
     plot_xarray,
 )
-from conftest import resample_test_cpm_output_path
 
 from .utils import (
     CPM_RAW_TASMAX_EXAMPLE_PATH,
@@ -62,7 +59,7 @@
     year_days_count,
 )
 
-HADS_FIRST_DATES: np.array = np.array(
+HADS_FIRST_DATES: Final[NDArray] = np.array(
     ["19800101", "19800102", "19800103", "19800104", "19800105"]
 )
 
@@ -77,17 +74,17 @@
 FINAL_CONVERTED_HADS_WIDTH: Final[int] = 410
 FINAL_CONVERTED_HADS_HEIGHT: Final[int] = 660
 
-RAW_CPM_TASMAX_1980_FIRST_5: np.array = np.array(
+RAW_CPM_TASMAX_1980_FIRST_5: Final[NDArray] = np.array(
     [12.654932, 12.63711, 12.616358, 12.594385, 12.565821], dtype="float32"
 )
-RAW_CPM_TASMAX_1980_DEC_30_FIRST_5: np.array = np.array(
+RAW_CPM_TASMAX_1980_DEC_30_FIRST_5: Final[NDArray] = np.array(
     [13.832666, 13.802149, 13.788477, 13.777491, 13.768946], dtype="float32"
 )
 
-PROJECTED_CPM_TASMAX_1980_FIRST_5: np.array = np.array(
+PROJECTED_CPM_TASMAX_1980_FIRST_5: Final[NDArray] = np.array(
     [13.406641, 13.376368, 13.361719, 13.354639, 13.334864], dtype="float32"
 )
-PROJECTED_CPM_TASMAX_1980_DEC_31_FIRST_5: np.array = np.array(
+PROJECTED_CPM_TASMAX_1980_DEC_31_FIRST_5: Final[NDArray] = np.array(
     [10.645899, 10.508448, 10.546778, 10.547998, 10.553614], dtype="float32"
 )
 
@@ -624,7 +621,7 @@ def test_cpm_manager(
     export: T_Dataset = open_dataset(paths[0])
     assert export.dims["time"] == 365
     assert export.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_CPM_WIDTH
-    assert_allclose(export.tasmax[10][5][:10].values, FINAL_CPM_DEC_10_5_X_0_10_Y)
+    assert_allclose(export.tasmax[10][5][:10].values, FINAL_CPM_DEC_10_X_2_Y_200_210)
     assert (
         CPM_FIRST_DATES == export.time.dt.strftime(CLI_DATE_FORMAT_STR).head().values
     ).all()
@@ -830,7 +827,8 @@ def test_execute_resample_configs(
     """Test running default HADs spatial projection."""
     test_config = HADsResamplerManager(
         input_paths=tasmax_hads_1980_raw_path.parent,
-        output_paths=tmp_path,
+        resample_paths=tmp_path,
+        crop_paths=tmp_path,
         stop_index=1,
     )
     resamplers: tuple[HADsResampler | CPMResampler, ...] = (

From eb4cac159978d9c6ae2d433566e07d7df816a14f Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Thu, 5 Sep 2024 21:25:19 +0100
Subject: [PATCH 77/92] fix: `hads_resample_and_reproject` warnings and remove
 `interpolate_coords`

---
 python/README.md                  |   4 +
 python/clim_recal/resample.py     | 182 ++++++++++++++++----------
 python/clim_recal/utils/core.py   |   4 +-
 python/clim_recal/utils/data.py   |  32 ++++-
 python/clim_recal/utils/xarray.py | 206 +++++++++++++++---------------
 python/tests/test_resample.py     | 144 ++++++++++-----------
 6 files changed, 325 insertions(+), 247 deletions(-)

diff --git a/python/README.md b/python/README.md
index 32edc067..d7b73b44 100644
--- a/python/README.md
+++ b/python/README.md
@@ -1,9 +1,12 @@
 # Methods implemented in Python
 
+*WARNING*: the documentation below predates a significant refactor.
+
 ## Resampling HADs grid from 1 km to 2.2 km
 
 The raw [UKHAD observational data](https://data.ceda.ac.uk/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.1.0.0/1km)
 needs to be resampled to the same grid of the [RCP8.5 data](https://data.ceda.ac.uk/badc/ukcp18/data/land-cpm/uk/2.2km/rcp85/).
+<!--
 This can be done with the `python/resampling/resampling_hads.py` script, which takes an input
 grid and uses to resample the data using [linear interpolation](https://docs.xarray.dev/en/stable/generated/xarray.DataArray.interp.html) (for simplicity have added a
 default grid in `data/rcp85_land-cpm_uk_2.2km_grid.nc`).
@@ -45,6 +48,7 @@ as there is not a `--grid_data` flag, the default file described above is used.
 ## Loading UKCP and HADs data
 
 In [python/clim_recal/data_loader.py] we have written a few functions for loading and concatenating data into a single xarray which can be used for running debiasing methods. Instructions in how to use these functions can be found in [python/notebooks/load_data_python.ipynb](../notebooks/load_data_python.ipynb).
+-->
 
 ## Running debiasing methods
 
diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index 1e834989..dad0a571 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -15,22 +15,34 @@
 import dill as pickle
 import numpy as np
 import rioxarray  # nopycln: import
+from osgeo.gdal import Dataset as GDALDataset
 from osgeo.gdal import GRA_NearestNeighbour
 from rich import print
 from tqdm.rich import trange
-from xarray import Dataset, open_dataset
+from xarray import Dataset
 from xarray.core.types import T_Dataset
 
 from clim_recal.debiasing.debias_wrapper import VariableOptions
 
 from .utils.core import climate_data_mount_path, console, multiprocess_execute
-from .utils.data import RegionOptions, RunOptions, VariableOptions
+from .utils.data import (
+    CPM_END_DATE,
+    CPM_RAW_X_COLUMN_NAME,
+    CPM_RAW_Y_COLUMN_NAME,
+    CPM_START_DATE,
+    CPM_SUB_PATH,
+    HADS_END_DATE,
+    HADS_START_DATE,
+    HADS_SUB_PATH,
+    HADS_XDIM,
+    HADS_YDIM,
+    RegionOptions,
+    RunOptions,
+    VariableOptions,
+)
 from .utils.gdal_formats import TIF_EXTENSION_STR
 from .utils.xarray import (
     BRITISH_NATIONAL_GRID_EPSG,
-    DEFAULT_RELATIVE_GRID_DATA_PATH,
-    HADS_RAW_X_COLUMN_NAME,
-    HADS_RAW_Y_COLUMN_NAME,
     NETCDF_EXTENSION_STR,
     ReprojectFuncType,
     apply_geo_func,
@@ -71,19 +83,7 @@
 ResamplingCallable = Callable[[list | tuple], int]
 CPM_STANDARD_CALENDAR_PATH: Final[Path] = Path("cpm-standard-calendar")
 CPM_SPATIAL_COORDS_PATH: Final[Path] = Path("cpm-to-27700-spatial")
-HADS_2_2K_RESOLUTION_PATH: Final[Path] = Path("hads-to-27700-spatial-2.2km")
-CPRUK_XDIM: Final[str] = "grid_longitude"
-CPRUK_YDIM: Final[str] = "grid_latitude"
-
-HADS_XDIM: Final[str] = HADS_RAW_X_COLUMN_NAME
-HADS_YDIM: Final[str] = HADS_RAW_Y_COLUMN_NAME
-
-
-CPM_START_DATE: Final[date] = date(1980, 12, 1)
-CPM_END_DATE: Final[date] = date(2060, 11, 30)
-
-HADS_START_DATE: Final[date] = date(1980, 1, 1)
-HADS_END_DATE: Final[date] = date(2021, 12, 31)
+# HADS_2_2K_RESOLUTION_PATH: Final[Path] = Path("hads-to-27700-spatial-2.2km")
 
 CPM_OUTPUT_LOCAL_PATH: Final[Path] = Path("cpm")
 HADS_OUTPUT_LOCAL_PATH: Final[Path] = Path("hads")
@@ -108,22 +108,22 @@ def reproject_2_2km_filename(path: Path) -> Path:
 class ResamblerBase:
     """Base class to inherit for `HADs` and `CPM`."""
 
-    input_path: PathLike | None = RAW_HADS_TASMAX_PATH
-    output_path: PathLike = RESAMPLING_OUTPUT_PATH / HADS_OUTPUT_LOCAL_PATH
+    input_path: PathLike | None = Path()
+    output_path: PathLike = RESAMPLING_OUTPUT_PATH
     variable_name: VariableOptions | str = VariableOptions.default()
     # grid: PathLike | T_Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
     input_files: Iterable[PathLike] | None = None
     cpus: int | None = None
     crop_regions: tuple[RegionOptions | str, ...] | None = RegionOptions.all()
-    crop_path: PathLike = RESAMPLING_OUTPUT_PATH / HADS_CROP_OUTPUT_LOCAL_PATH
+    crop_path: PathLike = RESAMPLING_OUTPUT_PATH
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG
     # grid_x_column_name: str = HADS_XDIM
     # grid_y_column_name: str = HADS_YDIM
     input_file_extension: NETCDF_OR_TIF = NETCDF_EXTENSION_STR
     export_file_extension: NETCDF_OR_TIF = NETCDF_EXTENSION_STR
-    resolution_relative_path: Path = HADS_2_2K_RESOLUTION_PATH
-    input_file_x_column_name: str = HADS_XDIM
-    input_file_y_column_name: str = HADS_YDIM
+    # resolution_relative_path: Path = HADS_2_2K_RESOLUTION_PATH
+    input_file_x_column_name: str = ""
+    input_file_y_column_name: str = ""
     start_index: int = 0
     stop_index: int | None = None
 
@@ -197,24 +197,24 @@ def __repr__(self) -> str:
             f"output_path='{self.output_path}')>"
         )
 
-    def set_grid(self, new_grid_data_path: PathLike | None = None) -> None:
-        """Set check and set (if necessary) `grid` attribute of `self`.
-
-        Notes
-        -----
-        To be depricated.
-
-        Parameters
-        ----------
-        new_grid_data_path
-            New `Path` to load to `self.grid`.
-        """
-        if new_grid_data_path:
-            self.grid = new_grid_data_path
-        if isinstance(self.grid, PathLike):
-            self._grid_path = Path(self.grid)
-            self.grid = open_dataset(self.grid)
-        assert isinstance(self.grid, Dataset)
+    # def set_grid(self, new_grid_data_path: PathLike | None = None) -> None:
+    #     """Set check and set (if necessary) `grid` attribute of `self`.
+    #
+    #     Notes
+    #     -----
+    #     To be depricated.
+    #
+    #     Parameters
+    #     ----------
+    #     new_grid_data_path
+    #         New `Path` to load to `self.grid`.
+    #     """
+    #     if new_grid_data_path:
+    #         self.grid = new_grid_data_path
+    #     if isinstance(self.grid, PathLike):
+    #         self._grid_path = Path(self.grid)
+    #         self.grid = open_dataset(self.grid)
+    #     assert isinstance(self.grid, Dataset)
 
     def _get_source_path(
         self, index: int, source_to_index: Sequence | None = None
@@ -420,14 +420,10 @@ class HADsResampler(ResamblerBase):
         `Path` to `HADs` files to process.
     output
         `Path` to save processed `HADS` files.
-    grid_data_path
-        `Path` to load to `self.grid`.
-    grid
-        `Dataset` of grid (either passed via `grid_data_path` or as a parameter).
     input_files
-        NCF or TIF files to process with `self.grid` etc.
+        `Path` or `Paths` of `NCF` files to resample.
     resampling_func
-        Function to call on `self.input_files` with `self.grid`
+        Function to call on `self.input_files`.
     crop
         Path or file to spatially crop `input_files` with.
     final_crs
@@ -438,6 +434,11 @@ class HADsResampler(ResamblerBase):
         Column name in `input_files` or `input` for `y` coordinates.
     input_file_extension
         File extensions to glob `input_files` with.
+    start_index
+        First index of file to iterate processing from.
+    stop_index
+        Last index of files to iterate processing from as a count from `start_index`.
+        If `None`, this will simply iterate over all available files.
 
     Notes
     -----
@@ -465,9 +466,11 @@ class HADsResampler(ResamblerBase):
 
     input_path: PathLike | None = RAW_HADS_TASMAX_PATH
     output_path: PathLike = RESAMPLING_OUTPUT_PATH / HADS_OUTPUT_LOCAL_PATH
-    variable_name: VariableOptions = VariableOptions.default()
-    grid: PathLike | T_Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
+    # variable_name: VariableOptions = VariableOptions.default()
+    # grid: PathLike | T_Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
     input_files: Iterable[PathLike] | None = None
+
+    # input_path: PathLike | None = RAW_HADS_TASMAX_PATH
     cpus: int | None = None
     crop_path: PathLike = RESAMPLING_OUTPUT_PATH / HADS_CROP_OUTPUT_LOCAL_PATH
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG
@@ -480,7 +483,7 @@ class HADsResampler(ResamblerBase):
     input_file_y_column_name: str = HADS_YDIM
     cpm_for_coord_alignment: T_Dataset | PathLike = RAW_CPM_TASMAX_PATH
     _resample_func: ReprojectFuncType = hads_resample_and_reproject
-    _use_reference_grid: bool = True
+    # _use_reference_grid: bool = True
 
     def __post_init__(self) -> None:
         """Ensure `self.cpm_for_coord_alignment` is set."""
@@ -544,16 +547,12 @@ class CPMResampler(ResamblerBase):
         `Path` to `CPM` files to process.
     output
         `Path` to save processed `CPM` files.
-    grid_data_path
-        `Path` to load to `self.grid`.
-    grid
-        `Dataset` of grid (either passed via `grid_data_path` or as a parameter).
     input_files
-        NCF or TIF files to process with `self.grid` etc.
+        `Path` or `Paths` of `NCF` files to reproject.
     cpus
         Number of `cpu` cores to use during multiprocessing.
     resampling_func
-        Function to call on `self.input_files` with `self.grid`
+        Function to call on `self.input_files`.
     crop
         Path or file to spatially crop `input_files` with.
     final_crs
@@ -590,8 +589,8 @@ class CPMResampler(ResamblerBase):
     output_path: PathLike = RESAMPLING_OUTPUT_PATH / CPM_OUTPUT_LOCAL_PATH
     crop_path: PathLike = RESAMPLING_OUTPUT_PATH / CPM_CROP_OUTPUT_LOCAL_PATH
     # standard_calendar_relative_path: Path = CPM_STANDARD_CALENDAR_PATH
-    input_file_x_column_name: str = CPRUK_XDIM
-    input_file_y_column_name: str = CPRUK_YDIM
+    input_file_x_column_name: str = CPM_RAW_X_COLUMN_NAME
+    input_file_y_column_name: str = CPM_RAW_Y_COLUMN_NAME
     # resolution_relative_path: Path = CPM_SPATIAL_COORDS_PATH
     _resample_func: ReprojectFuncType = cpm_reproject_with_standard_calendar
 
@@ -658,8 +657,27 @@ class HADsResamplerManager:
         `Path` or `Paths` to to save processed `CPM` files to. If `Path` will be propagated to match `input_paths`.
     variables
         Which `VariableOptions` to include.
+    crop_regions
+        `RegionOptions` (like Manchester, Scoltand etc.) to crop results to.
+    crop_paths
+        Where to save region crop files.
     sub_path
-        `Path` to include at the stem of generating `input_paths`.
+        `Path` to include at the stem of `input_paths`.
+    start_index
+        Index to begin iterating input files for `resampling` or `cropping`.
+    stop_index
+        Index to to run from `start_index` to when `resampling` or
+        `cropping`. If `None`, iterate full list of paths.
+    start_date
+        Not yet implemented, but in future from what date to generate start index from.
+    end_date
+        Not yet implemented, but in future from what date to generate stop index from.
+    configs
+        List of `HADsResampler` instances to iterate `resampling` or `cropping`.
+    config_default_kwargs
+        Parameters passed to all running `self.configs`.
+    resampler_class
+        `class` to construct all `self.configs` instances with.
     cpus
         Number of `cpu` cores to use during multiprocessing.
 
@@ -684,7 +702,7 @@ class HADsResamplerManager:
     crop_paths: Sequence[PathLike] | PathLike = (
         RESAMPLING_OUTPUT_PATH / HADS_CROP_OUTPUT_LOCAL_PATH
     )
-    sub_path: Path = Path("day")
+    sub_path: Path = HADS_SUB_PATH
     start_index: int = 0
     stop_index: int | None = None
     start_date: date = HADS_START_DATE
@@ -1009,6 +1027,41 @@ def execute_crop_configs(
 class CPMResamplerManager(HADsResamplerManager):
     """Class to manage processing CPM resampling.
 
+    Attributes
+    ----------
+    input_paths
+        `Path` or `Paths` to `CPM` files to process. If `Path`, will be propegated with files matching
+    resample_paths
+        `Path` or `Paths` to to save processed `CPM` files to. If `Path` will be propagated to match `input_paths`.
+    variables
+        Which `VariableOptions` to include.
+    runs
+        Which `RunOptions` to include.
+    crop_regions
+        `RegionOptions` (like Manchester, Scoltand etc.) to crop results to.
+    crop_paths
+        Where to save region crop files.
+    sub_path
+        `Path` to include at the stem of `input_paths`.
+    start_index
+        Index to begin iterating input files for `resampling` or `cropping`.
+    stop_index
+        Index to to run from `start_index` to when `resampling` or
+        `cropping`. If `None`, iterate full list of paths.
+    start_date
+        Not yet implemented, but in future from what date to generate start index from.
+    end_date
+        Not yet implemented, but in future from what date to generate stop index from.
+    configs
+        List of `HADsResampler` instances to iterate `resampling` or `cropping`.
+    config_default_kwargs
+        Parameters passed to all running `self.configs`.
+    resampler_class
+        `class` to construct all `self.configs` instances with.
+    cpus
+        Number of `cpu` cores to use during multiprocessing.
+
+
     Examples
     --------
     >>> if not is_data_mounted:
@@ -1042,13 +1095,14 @@ class CPMResamplerManager(HADsResamplerManager):
     resample_paths: PathLike | Sequence[PathLike] = (
         RESAMPLING_OUTPUT_PATH / CPM_OUTPUT_LOCAL_PATH
     )
-    sub_path: Path = Path("latest")
+    sub_path: Path = CPM_SUB_PATH
     start_date: date = CPM_START_DATE
     end_date: date = CPM_END_DATE
     configs: list[CPMResampler] = field(default_factory=list)
     resampler_class: type[CPMResampler] = CPMResampler
-    runs: Sequence[RunOptions] = RunOptions.preferred()
-    crop_paths: PathLike = RESAMPLING_OUTPUT_PATH / CPM_CROP_OUTPUT_LOCAL_PATH
+    # Runs are CPM simulations, not applicalbe to HADs
+    runs: Sequence[RunOptions | str] = RunOptions.preferred()
+    crop_paths = RESAMPLING_OUTPUT_PATH / CPM_CROP_OUTPUT_LOCAL_PATH
 
     # Uncomment if cpm specific paths like 'pr' for 'rainbow'
     # are needed at the manager level.
diff --git a/python/clim_recal/utils/core.py b/python/clim_recal/utils/core.py
index 25c1d949..f7028f43 100644
--- a/python/clim_recal/utils/core.py
+++ b/python/clim_recal/utils/core.py
@@ -134,7 +134,7 @@ def from_year_range_to_str(
         )
 
 
-DEFAULT_START_MONTH_DAY: Final[MonthDay] = MonthDay(month=12, day=1)
+DEFAULT_CPM_START_MONTH_DAY: Final[MonthDay] = MonthDay(month=12, day=1)
 
 
 def run_callable_attr(
@@ -602,7 +602,7 @@ def annual_data_paths_generator(
 def annual_data_path(
     start_year: int = 1980,
     end_year: int = 1981,
-    month_day: MonthDay | tuple[int, int] | None = DEFAULT_START_MONTH_DAY,
+    month_day: MonthDay | tuple[int, int] | None = DEFAULT_CPM_START_MONTH_DAY,
     include_end_date: bool = False,
     parent_path: Path | None = None,
     file_name_middle_str: str = CPM_FILE_NAME_MIDDLE_STR,
diff --git a/python/clim_recal/utils/data.py b/python/clim_recal/utils/data.py
index b5bed3e5..d129b310 100644
--- a/python/clim_recal/utils/data.py
+++ b/python/clim_recal/utils/data.py
@@ -11,10 +11,34 @@
 from .core import StrEnumReprName
 
 
+DEFAULT_RESAMPLING_METHOD: Final[Resampling] = Resampling.average
+
 BRITISH_NATION_GRID_COORDS_NUMBER: Final[int] = 27700
 BRITISH_NATIONAL_GRID_EPSG: Final[str] = f"EPSG:{BRITISH_NATION_GRID_COORDS_NUMBER}"
 
-DEFAULT_RESAMPLING_METHOD: Final[Resampling] = Resampling.average
+HADS_START_DATE: Final[date] = date(1980, 1, 1)
+HADS_END_DATE: Final[date] = date(2021, 12, 31)
+
+CPM_START_DATE: Final[date] = date(1980, 12, 1)
+CPM_END_DATE: Final[date] = date(2060, 11, 30)
+
+HADS_RAW_X_COLUMN_NAME: Final[str] = "projection_x_coordinate"
+HADS_RAW_Y_COLUMN_NAME: Final[str] = "projection_y_coordinate"
+
+HADS_XDIM: Final[str] = HADS_RAW_X_COLUMN_NAME
+HADS_YDIM: Final[str] = HADS_RAW_Y_COLUMN_NAME
+
+HADS_SUB_PATH: Final[Path] = Path("day")
+
+CPM_RAW_X_COLUMN_NAME: Final[str] = "grid_longitude"
+CPM_RAW_Y_COLUMN_NAME: Final[str] = "grid_latitude"
+
+CPRUK_XDIM: Final[str] = CPM_RAW_X_COLUMN_NAME
+CPRUK_YDIM: Final[str] = CPM_RAW_Y_COLUMN_NAME
+
+CPM_SUB_PATH: Final[Path] = Path("latest")
+
+CPM_RESOLUTION_METERS: Final[int] = 2200
 
 AuthorshipType = Union[
     str | tuple[str, ...], dict[str, str] |
@@ -120,9 +144,9 @@ def rioxarry_epsg(self) -> str:
 DEFAULT_CALENDAR_ALIGN: Final[ConvertCalendarAlignOptions] = "year"
 NETCDF4_XARRAY_ENGINE: Final[str] = "netcdf4"
 
-DEFAULT_RELATIVE_GRID_DATA_PATH: Final[Path] = (
-    Path().absolute() / "../data/rcp85_land-cpm_uk_2.2km_grid.nc"
-)
+# DEFAULT_RELATIVE_GRID_DATA_PATH: Final[Path] = (
+#     Path().absolute() / "../data/rcp85_land-cpm_uk_2.2km_grid.nc"
+# )
 TIME_COLUMN_NAME: Final[str] = "time"
 
 GLASGOW_GEOM_LOCAL_PATH: Final[Path] = Path(
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index ebeee112..8baaeb31 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -11,7 +11,6 @@
 import seaborn
 from cftime._cftime import Datetime360Day
 from matplotlib import pyplot as plt
-from numpy import ndarray
 from numpy.typing import NDArray
 from osgeo.gdal import Dataset as GDALDataset
 from osgeo.gdal import (
@@ -42,13 +41,16 @@
     climate_data_mount_path,
     results_path,
 )
-from .data import (
+from .data import (  # DEFAULT_RELATIVE_GRID_DATA_PATH,
     BRITISH_NATIONAL_GRID_EPSG,
+    CPM_RAW_X_COLUMN_NAME,
+    CPM_RAW_Y_COLUMN_NAME,
     DEFAULT_CALENDAR_ALIGN,
     DEFAULT_INTERPOLATION_METHOD,
-    DEFAULT_RELATIVE_GRID_DATA_PATH,
     DEFAULT_RESAMPLING_METHOD,
     GLASGOW_GEOM_LOCAL_PATH,
+    HADS_RAW_X_COLUMN_NAME,
+    HADS_RAW_Y_COLUMN_NAME,
     NETCDF4_XARRAY_ENGINE,
     TIME_COLUMN_NAME,
     BoundingBoxCoords,
@@ -80,13 +82,13 @@
 # """A `set` of tuples of month and day numbers for `enforce_date_changes`."""
 
 
-HADS_RAW_X_COLUMN_NAME: Final[str] = "projection_x_coordinate"
-HADS_RAW_Y_COLUMN_NAME: Final[str] = "projection_y_coordinate"
+# HADS_RAW_X_COLUMN_NAME: Final[str] = "projection_x_coordinate"
+# HADS_RAW_Y_COLUMN_NAME: Final[str] = "projection_y_coordinate"
 HADS_DROP_VARS_AFTER_PROJECTION: Final[tuple[str, ...]] = ("longitude", "latitude")
 
-CPM_RESOLUTION_METERS: Final[int] = 2200
-CPM_RAW_X_COLUMN_NAME: Final[str] = "grid_longitude"
-CPM_RAW_Y_COLUMN_NAME: Final[str] = "grid_latitude"
+# CPM_RESOLUTION_METERS: Final[int] = 2200
+# CPM_RAW_X_COLUMN_NAME: Final[str] = "grid_longitude"
+# CPM_RAW_Y_COLUMN_NAME: Final[str] = "grid_latitude"
 
 # TODO: CHECK IF THESE ARE BACKWARDS
 FINAL_RESAMPLE_LON_COL: Final[str] = "x"
@@ -372,16 +374,16 @@ def xr_reproject_crs(
             match_xr_time_series = match_xr_time_series_load_func(
                 match_xr_time_series, **match_xr_time_series_load_kwargs
             )
-        if not {x_dim_name, y_dim_name} < match_xr_time_series.dims.keys():
+        if not {x_dim_name, y_dim_name} < match_xr_time_series.sizes.keys():
             # If dim name
             # likely x, y indexes from a projection like cpm, need to match
             logger.debug(
                 f"'x_dim_name': {x_dim_name} and "
                 f"'y_dim_name': {y_dim_name} not in "
                 f"'match_xr_time_series' dims: "
-                f"{match_xr_time_series.dims.keys()}."
+                f"{match_xr_time_series.sizes.keys()}."
             )
-            if {"x", "y"} < match_xr_time_series.dims.keys():
+            if {"x", "y"} < match_xr_time_series.sizes.keys():
                 logger.debug(
                     f"Renaming dims: '{x_dim_name}' -> 'x', '{y_dim_name}' -> 'y'"
                 )
@@ -423,96 +425,96 @@ def error_message(method: str) -> str:
         raise ValueError(error_message(method))
 
 
-def interpolate_coords(
-    xr_time_series: T_Dataset,
-    variable_name: str,
-    x_grid: NDArray | None = None,
-    y_grid: NDArray | None = None,
-    x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
-    y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
-    reference_coords: T_Dataset | PathLike = DEFAULT_RELATIVE_GRID_DATA_PATH,
-    reference_coord_x_column_name: str = HADS_RAW_X_COLUMN_NAME,
-    reference_coord_y_column_name: str = HADS_RAW_Y_COLUMN_NAME,
-    method: str = "linear",
-    engine: XArrayEngineType = NETCDF4_XARRAY_ENGINE,
-    use_reference_grid: bool = True,
-    **kwargs,
-) -> T_Dataset:
-    """Reproject `xr_time_series` to `x_resolution`/`y_resolution`.
-
-    Notes
-    -----
-    The `rio.reproject` approach commented out below raises
-    `ValueError: IndexVariable objects must be 1-dimensional`
-    See https://github.com/corteva/rioxarray/discussions/762
-    """
-    if isinstance(xr_time_series, PathLike | str):
-        xr_time_series = open_dataset(
-            xr_time_series, decode_coords="all", engine=engine
-        )
-
-    try:
-        assert isinstance(xr_time_series, Dataset)
-    except:
-        ValueError(f"'xr_time_series' must be an 'xr.Dataset' instance.")
-
-    if use_reference_grid or (x_grid is None or y_grid is None):
-        if isinstance(reference_coords, PathLike | str):
-            reference_coords = open_dataset(
-                reference_coords, decode_coords="all", engine=engine
-            )
-        try:
-            assert isinstance(reference_coords, Dataset)
-        except:
-            ValueError(f"'reference_coords' must be an 'xr.Dataset' instance.")
-        try:
-            assert reference_coord_x_column_name in reference_coords.coords
-            assert reference_coord_y_column_name in reference_coords.coords
-            assert x_coord_column_name in xr_time_series.coords
-            assert y_coord_column_name in xr_time_series.coords
-        except AssertionError:
-            raise ValueError(
-                f"At least one of\n"
-                f"'reference_coord_x_column_name': '{reference_coord_x_column_name}'\n"
-                f"'reference_coord_y_column_name': '{reference_coord_y_column_name}'\n"
-                f"'x_coord_column_name': '{x_coord_column_name}'\n"
-                f"'y_coord_column_name': '{y_coord_column_name}'\n"
-                f"not in 'reference_coords' and/or 'xr_time_series'."
-            )
-
-        x_grid = (
-            reference_coords[reference_coord_x_column_name].values
-            if x_grid is None
-            else x_grid
-        )
-        y_grid = (
-            reference_coords[reference_coord_y_column_name].values
-            if y_grid is None
-            else y_grid
-        )
-        use_reference_grid = True
-
-    try:
-        assert isinstance(x_grid, ndarray)
-        assert isinstance(y_grid, ndarray)
-    except:
-        raise ValueError(
-            f"Both must be 'ndarray' instances.\n"
-            f"'x_grid': {x_grid}\n'y_grid': {y_grid}"
-        )
-    kwargs[x_coord_column_name] = x_grid
-    kwargs[y_coord_column_name] = y_grid
-    reprojected_data_array: T_DataArray = xr_time_series[variable_name].interp(
-        method=method, **kwargs
-    )
-
-    # Ensure original `rio.crs` is kept in returned `Dataset`
-    if use_reference_grid:
-        reprojected_data_array.rio.write_crs(reference_coords.rio.crs, inplace=True)
-    else:
-        reprojected_data_array.rio.write_crs(xr_time_series.rio.crs, inplace=True)
-    reprojected: T_Dataset = Dataset({variable_name: reprojected_data_array})
-    return reprojected
+# def interpolate_coords(
+#     xr_time_series: T_Dataset,
+#     variable_name: str,
+#     x_grid: NDArray | None = None,
+#     y_grid: NDArray | None = None,
+#     x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
+#     y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
+#     reference_coords: T_Dataset | PathLike = DEFAULT_RELATIVE_GRID_DATA_PATH,
+#     reference_coord_x_column_name: str = HADS_RAW_X_COLUMN_NAME,
+#     reference_coord_y_column_name: str = HADS_RAW_Y_COLUMN_NAME,
+#     method: str = "linear",
+#     engine: XArrayEngineType = NETCDF4_XARRAY_ENGINE,
+#     use_reference_grid: bool = True,
+#     **kwargs,
+# ) -> T_Dataset:
+#     """Reproject `xr_time_series` to `x_resolution`/`y_resolution`.
+#
+#     Notes
+#     -----
+#     The `rio.reproject` approach commented out below raises
+#     `ValueError: IndexVariable objects must be 1-dimensional`
+#     See https://github.com/corteva/rioxarray/discussions/762
+#     """
+#     if isinstance(xr_time_series, PathLike | str):
+#         xr_time_series = open_dataset(
+#             xr_time_series, decode_coords="all", engine=engine
+#         )
+#
+#     try:
+#         assert isinstance(xr_time_series, Dataset)
+#     except:
+#         ValueError(f"'xr_time_series' must be an 'xr.Dataset' instance.")
+#
+#     if use_reference_grid or (x_grid is None or y_grid is None):
+#         if isinstance(reference_coords, PathLike | str):
+#             reference_coords = open_dataset(
+#                 reference_coords, decode_coords="all", engine=engine
+#             )
+#         try:
+#             assert isinstance(reference_coords, Dataset)
+#         except:
+#             ValueError(f"'reference_coords' must be an 'xr.Dataset' instance.")
+#         try:
+#             assert reference_coord_x_column_name in reference_coords.coords
+#             assert reference_coord_y_column_name in reference_coords.coords
+#             assert x_coord_column_name in xr_time_series.coords
+#             assert y_coord_column_name in xr_time_series.coords
+#         except AssertionError:
+#             raise ValueError(
+#                 f"At least one of\n"
+#                 f"'reference_coord_x_column_name': '{reference_coord_x_column_name}'\n"
+#                 f"'reference_coord_y_column_name': '{reference_coord_y_column_name}'\n"
+#                 f"'x_coord_column_name': '{x_coord_column_name}'\n"
+#                 f"'y_coord_column_name': '{y_coord_column_name}'\n"
+#                 f"not in 'reference_coords' and/or 'xr_time_series'."
+#             )
+#
+#         x_grid = (
+#             reference_coords[reference_coord_x_column_name].values
+#             if x_grid is None
+#             else x_grid
+#         )
+#         y_grid = (
+#             reference_coords[reference_coord_y_column_name].values
+#             if y_grid is None
+#             else y_grid
+#         )
+#         use_reference_grid = True
+#
+#     try:
+#         assert isinstance(x_grid, ndarray)
+#         assert isinstance(y_grid, ndarray)
+#     except:
+#         raise ValueError(
+#             f"Both must be 'ndarray' instances.\n"
+#             f"'x_grid': {x_grid}\n'y_grid': {y_grid}"
+#         )
+#     kwargs[x_coord_column_name] = x_grid
+#     kwargs[y_coord_column_name] = y_grid
+#     reprojected_data_array: T_DataArray = xr_time_series[variable_name].interp(
+#         method=method, **kwargs
+#     )
+#
+#     # Ensure original `rio.crs` is kept in returned `Dataset`
+#     if use_reference_grid:
+#         reprojected_data_array.rio.write_crs(reference_coords.rio.crs, inplace=True)
+#     else:
+#         reprojected_data_array.rio.write_crs(xr_time_series.rio.crs, inplace=True)
+#     reprojected: T_Dataset = Dataset({variable_name: reprojected_data_array})
+#     return reprojected
 
 
 def hads_resample_and_reproject(
@@ -524,7 +526,7 @@ def hads_resample_and_reproject(
     y_dim_name: str = HADS_RAW_Y_COLUMN_NAME,
 ) -> T_Dataset:
     """Resample `HADs` `xarray` time series to 2.2km."""
-    if isinstance(cpm_to_match, Dataset) and {"x", "y"} < cpm_to_match.dims.keys():
+    if isinstance(cpm_to_match, Dataset) and {"x", "y"} < cpm_to_match.sizes.keys():
         cpm_to_match_func = None
     epsg_277000_2_2km: T_Dataset = xr_reproject_crs(
         hads_xr_time_series,
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 89ab67e5..1d04bdeb 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -1,6 +1,6 @@
 from datetime import date
 from pathlib import Path
-from typing import Any, Final
+from typing import Final
 
 import numpy as np
 import pytest
@@ -10,15 +10,10 @@
 from xarray import open_dataset
 from xarray.core.types import T_DataArray, T_Dataset
 
-from clim_recal.resample import (
+from clim_recal.resample import (  # DEFAULT_RELATIVE_GRID_DATA_PATH,
     BRITISH_NATIONAL_GRID_EPSG,
     CPM_CROP_OUTPUT_LOCAL_PATH,
-    CPRUK_XDIM,
-    CPRUK_YDIM,
-    DEFAULT_RELATIVE_GRID_DATA_PATH,
     HADS_CROP_OUTPUT_LOCAL_PATH,
-    HADS_XDIM,
-    HADS_YDIM,
     CPMResampler,
     CPMResamplerManager,
     HADsResampler,
@@ -33,7 +28,7 @@
 )
 from clim_recal.utils.data import HadUKGrid, UKCPLocalProjections
 from clim_recal.utils.gdal_formats import NETCDF_EXTENSION_STR
-from clim_recal.utils.xarray import (
+from clim_recal.utils.xarray import (  # interpolate_coords,
     FINAL_RESAMPLE_LAT_COL,
     FINAL_RESAMPLE_LON_COL,
     HADS_RAW_X_COLUMN_NAME,
@@ -45,7 +40,6 @@
     cpm_xarray_to_standard_calendar,
     file_name_to_start_end_dates,
     hads_resample_and_reproject,
-    interpolate_coords,
     plot_xarray,
 )
 
@@ -146,9 +140,9 @@
 )
 
 
-@pytest.fixture(scope="session")
-def reference_final_coord_grid() -> T_Dataset:
-    return open_dataset(DEFAULT_RELATIVE_GRID_DATA_PATH, decode_coords="all")
+# @pytest.fixture(scope="session")
+# def reference_final_coord_grid() -> T_Dataset:
+#     return open_dataset(DEFAULT_RELATIVE_GRID_DATA_PATH, decode_coords="all")
 
 
 @pytest.fixture
@@ -664,69 +658,69 @@ def test_hads_manager(
     )
 
 
-@pytest.mark.localcache
-@pytest.mark.mount
-@pytest.mark.slow
-@pytest.mark.parametrize("data_type", ("hads", "cpm"))
-@pytest.mark.parametrize("use_reference_grid", (True, False))
-def test_interpolate_coords(
-    data_type: str,
-    reference_final_coord_grid: T_Dataset,
-    tasmax_cpm_1980_raw: T_Dataset,
-    tasmax_hads_1980_raw: T_Dataset,
-    use_reference_grid: bool,
-) -> None:
-    """Test reprojecting raw spatial files.
-
-    Notes
-    -----
-    Still seems to run even when `-m "not mount"` is specified.
-    """
-    reprojected_xr_time_series: T_Dataset
-    kwargs: dict[str, Any] = dict(
-        variable_name="tasmax",
-        x_grid=reference_final_coord_grid.projection_x_coordinate.values,
-        y_grid=reference_final_coord_grid.projection_y_coordinate.values,
-    )
-    x_col_name: str = HADS_XDIM
-    y_col_name: str = HADS_YDIM
-    if data_type == "hads":
-        reprojected_xr_time_series = interpolate_coords(
-            tasmax_hads_1980_raw,
-            x_coord_column_name=x_col_name,
-            y_coord_column_name=y_col_name,
-            use_reference_grid=use_reference_grid,
-            **kwargs,
-        )
-        assert reprojected_xr_time_series.dims["time"] == 31
-        assert_allclose(
-            reprojected_xr_time_series.tasmax[10][430][200:210],
-            FINAL_HADS_JAN_10_430_X_200_210_Y,
-        )
-        if use_reference_grid:
-            assert reprojected_xr_time_series.rio.crs == BRITISH_NATIONAL_GRID_EPSG
-        else:
-            assert reprojected_xr_time_series.rio.crs == tasmax_hads_1980_raw.rio.crs
-    else:
-        x_col_name = CPRUK_XDIM
-        y_col_name = CPRUK_YDIM
-        # We are now using gdal_warp_wrapper. See test_cpm_warp_steps
-        reprojected_xr_time_series = interpolate_coords(
-            tasmax_cpm_1980_raw,
-            x_coord_column_name=x_col_name,
-            y_coord_column_name=y_col_name,
-            use_reference_grid=use_reference_grid,
-            **kwargs,
-        )
-        # Note: this test is to a raw file without 365 day projection
-        assert reprojected_xr_time_series.dims["time"] == 360
-        assert np.isnan(reprojected_xr_time_series.tasmax[0][10][5][:10].values).all()
-        if use_reference_grid:
-            assert reprojected_xr_time_series.rio.crs == BRITISH_NATIONAL_GRID_EPSG
-        else:
-            assert reprojected_xr_time_series.rio.crs == tasmax_cpm_1980_raw.rio.crs
-    assert reprojected_xr_time_series.dims[x_col_name] == 528
-    assert reprojected_xr_time_series.dims[y_col_name] == 651
+# @pytest.mark.localcache
+# @pytest.mark.mount
+# @pytest.mark.slow
+# @pytest.mark.parametrize("data_type", ("hads", "cpm"))
+# @pytest.mark.parametrize("use_reference_grid", (True, False))
+# def test_interpolate_coords(
+#     data_type: str,
+#     reference_final_coord_grid: T_Dataset,
+#     tasmax_cpm_1980_raw: T_Dataset,
+#     tasmax_hads_1980_raw: T_Dataset,
+#     use_reference_grid: bool,
+# ) -> None:
+#     """Test reprojecting raw spatial files.
+#
+#     Notes
+#     -----
+#     Still seems to run even when `-m "not mount"` is specified.
+#     """
+#     reprojected_xr_time_series: T_Dataset
+#     kwargs: dict[str, Any] = dict(
+#         variable_name="tasmax",
+#         x_grid=reference_final_coord_grid.projection_x_coordinate.values,
+#         y_grid=reference_final_coord_grid.projection_y_coordinate.values,
+#     )
+#     x_col_name: str = HADS_XDIM
+#     y_col_name: str = HADS_YDIM
+#     if data_type == "hads":
+#         reprojected_xr_time_series = interpolate_coords(
+#             tasmax_hads_1980_raw,
+#             x_coord_column_name=x_col_name,
+#             y_coord_column_name=y_col_name,
+#             use_reference_grid=use_reference_grid,
+#             **kwargs,
+#         )
+#         assert reprojected_xr_time_series.dims["time"] == 31
+#         assert_allclose(
+#             reprojected_xr_time_series.tasmax[10][430][200:210],
+#             FINAL_HADS_JAN_10_430_X_200_210_Y,
+#         )
+#         if use_reference_grid:
+#             assert reprojected_xr_time_series.rio.crs == BRITISH_NATIONAL_GRID_EPSG
+#         else:
+#             assert reprojected_xr_time_series.rio.crs == tasmax_hads_1980_raw.rio.crs
+#     else:
+#         x_col_name = CPRUK_XDIM
+#         y_col_name = CPRUK_YDIM
+#         # We are now using gdal_warp_wrapper. See test_cpm_warp_steps
+#         reprojected_xr_time_series = interpolate_coords(
+#             tasmax_cpm_1980_raw,
+#             x_coord_column_name=x_col_name,
+#             y_coord_column_name=y_col_name,
+#             use_reference_grid=use_reference_grid,
+#             **kwargs,
+#         )
+#         # Note: this test is to a raw file without 365 day projection
+#         assert reprojected_xr_time_series.dims["time"] == 360
+#         assert np.isnan(reprojected_xr_time_series.tasmax[0][10][5][:10].values).all()
+#         if use_reference_grid:
+#             assert reprojected_xr_time_series.rio.crs == BRITISH_NATIONAL_GRID_EPSG
+#         else:
+#             assert reprojected_xr_time_series.rio.crs == tasmax_cpm_1980_raw.rio.crs
+#     assert reprojected_xr_time_series.dims[x_col_name] == 528
+#     assert reprojected_xr_time_series.dims[y_col_name] == 651
 
 
 @pytest.mark.slow

From 6bc346682f9af9887638ed2fabc771b6701d0e9d Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Fri, 6 Sep 2024 00:30:10 +0100
Subject: [PATCH 78/92] feat: automate `cpm_for_coord_alignment` reuse for
 `hads`

---
 python/clim_recal/resample.py     | 523 ++++++++++++++++++++++++++----
 python/clim_recal/utils/xarray.py |  23 ++
 2 files changed, 476 insertions(+), 70 deletions(-)

diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index dad0a571..335a79f2 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -48,6 +48,7 @@
     apply_geo_func,
     cpm_reproject_with_standard_calendar,
     crop_xarray,
+    get_cpm_for_coord_alignment,
     hads_resample_and_reproject,
 )
 
@@ -439,6 +440,8 @@ class HADsResampler(ResamblerBase):
     stop_index
         Last index of files to iterate processing from as a count from `start_index`.
         If `None`, this will simply iterate over all available files.
+    cpm_for_coord_alignment
+        `CPM` `Path` or `Dataset` to match alignment with.
 
     Notes
     -----
@@ -488,17 +491,31 @@ class HADsResampler(ResamblerBase):
     def __post_init__(self) -> None:
         """Ensure `self.cpm_for_coord_alignment` is set."""
         super().__post_init__()
-        if Path(self.cpm_for_coord_alignment).is_dir():
-            self.cpm_for_coord_alignment = next(
-                Path(self.cpm_for_coord_alignment).glob("t*.nc")
-            )
-        self.cpm_for_coord_alignment = cpm_reproject_with_standard_calendar(
+        self.set_cpm_for_coord_alignment()
+        # cpm_match_variable_name: str = self.cpm_for_coord_alignment
+
+    def set_cpm_for_coord_alignment(self) -> None:
+        """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
+        self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
             self.cpm_for_coord_alignment
         )
-        logger.info(
-            f"Set 'self.cpm_for_coord_alignment' to: '{self.cpm_for_coord_alignment}'"
-        )
-        # cpm_match_variable_name: str = self.cpm_for_coord_alignment
+        # if isinstance(self.cpm_for_coord_alignment, PathLike):
+        #     if Path(self.cpm_for_coord_alignment).is_dir():
+        #         self.cpm_for_coord_alignment = next(
+        #             Path(self.cpm_for_coord_alignment).glob("t*.nc")
+        #         )
+        #     self.cpm_for_coord_alignment = cpm_reproject_with_standard_calendar(
+        #         self.cpm_for_coord_alignment
+        #     )
+        #     logger.info(
+        #         f"Set 'self.cpm_for_coord_alignment' to: '{self.cpm_for_coord_alignment}'"
+        #     )
+        # try:
+        #     assert isinstance(self.cpm_for_coord_alignment, Dataset)
+        # except AssertionError:
+        #     raise AttributeError(
+        #         f"'cpm_for_coord_alignment' must be a 'Dataset'. "
+        #         f"Currently a {type(self.cpm_for_coord_alignment)} in {self}.")
 
     def to_reprojection(
         self,
@@ -646,70 +663,22 @@ def __getstate__(self):
 
 
 @dataclass(kw_only=True)
-class HADsResamplerManager:
-    """Class to manage processing HADs resampling.
-
-    Attributes
-    ----------
-    input_paths
-        `Path` or `Paths` to `CPM` files to process. If `Path`, will be propegated with files matching
-    resample_paths
-        `Path` or `Paths` to to save processed `CPM` files to. If `Path` will be propagated to match `input_paths`.
-    variables
-        Which `VariableOptions` to include.
-    crop_regions
-        `RegionOptions` (like Manchester, Scoltand etc.) to crop results to.
-    crop_paths
-        Where to save region crop files.
-    sub_path
-        `Path` to include at the stem of `input_paths`.
-    start_index
-        Index to begin iterating input files for `resampling` or `cropping`.
-    stop_index
-        Index to to run from `start_index` to when `resampling` or
-        `cropping`. If `None`, iterate full list of paths.
-    start_date
-        Not yet implemented, but in future from what date to generate start index from.
-    end_date
-        Not yet implemented, but in future from what date to generate stop index from.
-    configs
-        List of `HADsResampler` instances to iterate `resampling` or `cropping`.
-    config_default_kwargs
-        Parameters passed to all running `self.configs`.
-    resampler_class
-        `class` to construct all `self.configs` instances with.
-    cpus
-        Number of `cpu` cores to use during multiprocessing.
+class ResamblerManagerBase:
+    """Base class to inherit for `HADs` and `CPM` resampler managers."""
 
-    Examples
-    --------
-    >>> if not is_data_mounted:
-    ...     pytest.skip(mount_doctest_skip_message)
-    >>> hads_resampler_manager: HADsResamplerManager = HADsResamplerManager(
-    ...     variables=VariableOptions.all(),
-    ...     resample_paths=resample_test_hads_output_path,
-    ...     )
-    >>> hads_resampler_manager
-    <HADsResamplerManager(variables_count=3, input_paths_count=3)>
-    """
-
-    input_paths: PathLike | Sequence[PathLike] = RAW_HADS_PATH
-    resample_paths: PathLike | Sequence[PathLike] = (
-        RESAMPLING_OUTPUT_PATH / HADS_OUTPUT_LOCAL_PATH
-    )
+    input_paths: PathLike | Sequence[PathLike] = Path()
+    resample_paths: PathLike | Sequence[PathLike] = Path()
     variables: Sequence[VariableOptions | str] = (VariableOptions.default(),)
     crop_regions: tuple[RegionOptions | str, ...] | None = RegionOptions.all()
-    crop_paths: Sequence[PathLike] | PathLike = (
-        RESAMPLING_OUTPUT_PATH / HADS_CROP_OUTPUT_LOCAL_PATH
-    )
-    sub_path: Path = HADS_SUB_PATH
+    crop_paths: Sequence[PathLike] | PathLike = Path()
+    sub_path: Path = Path()
     start_index: int = 0
     stop_index: int | None = None
-    start_date: date = HADS_START_DATE
-    end_date: date = HADS_END_DATE
-    configs: list[HADsResampler] = field(default_factory=list)
+    start_date: date | None = None
+    end_date: date | None = None
+    configs: list[HADsResampler | CPMResampler] = field(default_factory=list)
     config_default_kwargs: dict[str, Any] = field(default_factory=dict)
-    resampler_class: type[HADsResampler] = HADsResampler
+    resampler_class: type[HADsResampler | CPMResampler] | None = None
     cpus: int | None = None
     _input_path_dict: dict[Path, str] = field(default_factory=dict)
     _resampled_path_dict: dict[PathLike, VariableOptions | str] = field(
@@ -734,6 +703,7 @@ def __post_init__(self) -> None:
         self.total_cpus: int | None = cpu_count()
         if not self.cpus:
             self.cpus = 1 if not self.total_cpus else self.total_cpus
+        self.cpm_for_coord_alignment: T_Dataset | PathLike = RAW_CPM_TASMAX_PATH
 
     @property
     def input_folder(self) -> Path | None:
@@ -887,7 +857,7 @@ def set_resample_paths(self):
                 )
             )
 
-    def set_crop_paths(self):
+    def set_crop_paths(self) -> None:
         """Propagate `self.resample_paths` if needed."""
         if isinstance(self.crop_paths, PathLike):
             self._crop_path = self.crop_paths
@@ -1024,7 +994,420 @@ def execute_crop_configs(
 
 
 @dataclass(kw_only=True, repr=False)
-class CPMResamplerManager(HADsResamplerManager):
+class HADsResamplerManager(ResamblerManagerBase):
+    """Class to manage processing HADs resampling.
+
+    Attributes
+    ----------
+    input_paths
+        `Path` or `Paths` to `CPM` files to process. If `Path`, will be propegated with files matching
+    resample_paths
+        `Path` or `Paths` to to save processed `CPM` files to. If `Path` will be propagated to match `input_paths`.
+    variables
+        Which `VariableOptions` to include.
+    crop_regions
+        `RegionOptions` (like Manchester, Scotland etc.) to crop results to.
+    crop_paths
+        Where to save region crop files.
+    sub_path
+        `Path` to include at the stem of `input_paths`.
+    start_index
+        Index to begin iterating input files for `resampling` or `cropping`.
+    stop_index
+        Index to to run from `start_index` to when `resampling` or
+        `cropping`. If `None`, iterate full list of paths.
+    start_date
+        Not yet implemented, but in future from what date to generate start index from.
+    end_date
+        Not yet implemented, but in future from what date to generate stop index from.
+    configs
+        List of `HADsResampler` instances to iterate `resampling` or `cropping`.
+    config_default_kwargs
+        Parameters passed to all running `self.configs`.
+    resampler_class
+        `class` to construct all `self.configs` instances with.
+    cpus
+        Number of `cpu` cores to use during multiprocessing.
+    cpm_for_coord_alignment
+        `CPM` `Path` or `Dataset` to match alignment with.
+
+    Examples
+    --------
+    >>> if not is_data_mounted:
+    ...     pytest.skip(mount_doctest_skip_message)
+    >>> hads_resampler_manager: HADsResamplerManager = HADsResamplerManager(
+    ...     variables=VariableOptions.all(),
+    ...     resample_paths=resample_test_hads_output_path,
+    ...     )
+    >>> hads_resampler_manager
+    <HADsResamplerManager(variables_count=3, input_paths_count=3)>
+    """
+
+    input_paths: PathLike | Sequence[PathLike] = RAW_HADS_PATH
+    resample_paths: PathLike | Sequence[PathLike] = (
+        RESAMPLING_OUTPUT_PATH / HADS_OUTPUT_LOCAL_PATH
+    )
+    # variables: Sequence[VariableOptions | str] = (VariableOptions.default(),)
+    # crop_regions: tuple[RegionOptions | str, ...] | None = RegionOptions.all()
+    crop_paths: Sequence[PathLike] | PathLike = (
+        RESAMPLING_OUTPUT_PATH / HADS_CROP_OUTPUT_LOCAL_PATH
+    )
+    sub_path: Path = HADS_SUB_PATH
+    # start_index: int = 0
+    # stop_index: int | None = None
+    start_date: date = HADS_START_DATE
+    end_date: date = HADS_END_DATE
+    configs: list[HADsResampler] = field(default_factory=list)
+    config_default_kwargs: dict[str, Any] = field(default_factory=dict)
+    resampler_class: type[HADsResampler] = HADsResampler
+    cpm_for_coord_alignment: T_Dataset | PathLike = RAW_CPM_TASMAX_PATH
+    # cpus: int | None = None
+    # _input_path_dict: dict[Path, str] = field(default_factory=dict)
+    # _resampled_path_dict: dict[PathLike, VariableOptions | str] = field(
+    #     default_factory=dict
+    # )
+    # _cropped_path_dict: dict[PathLike, VariableOptions | str] = field(
+    #     default_factory=dict
+    # )
+    # _strict_fail_if_var_in_input_path: bool = True
+    # _allow_check_fail: bool = False
+
+    # class VarirableInBaseImportPathError(Exception):
+    #     """Checking import path validity for `self.variables`."""
+    #     pass
+    #
+    # def __post_init__(self) -> None:
+    #     """Populate config attributes."""
+    #     if not self.crop_regions:
+    #         self.crop_regions = ()
+    #     self.check_paths()
+    #     self.total_cpus: int | None = cpu_count()
+    #     if not self.cpus:
+    #         self.cpus = 1 if not self.total_cpus else self.total_cpus
+    #     self.cpm_for_coord_alignment: T_Dataset | PathLike = RAW_CPM_TASMAX_PATH
+    #
+    # @property
+    # def input_folder(self) -> Path | None:
+    #     """Return `self._input_path` set by `set_input_paths()`."""
+    #     if hasattr(self, "_input_path"):
+    #         return Path(self._input_path)
+    #     else:
+    #         return None
+    #
+    # @property
+    # def resample_folder(self) -> Path | None:
+    #     """Return `self._output_path` set by `set_resample_paths()`."""
+    #     if hasattr(self, "_input_path"):
+    #         return Path(self._input_path)
+    #     else:
+    #         return None
+    #
+    # @property
+    # def crop_folder(self) -> Path | None:
+    #     """Return `self._output_path` set by `set_resample_paths()`."""
+    #     if hasattr(self, "_crop_path"):
+    #         return Path(self._crop_path)
+    #     else:
+    #         return None
+    #
+    def __repr__(self) -> str:
+        """Summary of `self` configuration as a `str`."""
+        return (
+            f"<{self.__class__.__name__}("
+            f"variables_count={len(self.variables)}, "
+            f"input_paths_count={len(self.input_paths) if isinstance(self.input_paths, Sequence) else 1})>"
+        )
+
+    def __post_init__(self) -> None:
+        """Ensure `self.cpm_for_coord_alignment` is set."""
+        super().__post_init__()
+        self.set_cpm_for_coord_alignment()
+
+    def set_cpm_for_coord_alignment(self) -> None:
+        """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
+        self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
+            self.cpm_for_coord_alignment
+        )
+
+    def yield_configs(self) -> Iterable[HADsResampler]:
+        """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
+        self.check_paths()
+        assert isinstance(self.resample_paths, Iterable)
+        # assert isinstance(self.crop_paths, Iterable)
+        for index, var_path in enumerate(self._input_path_dict.items()):
+            yield self.resampler_class(
+                input_path=var_path[0],
+                output_path=self.resample_paths[index],
+                variable_name=var_path[1],
+                start_index=self.start_index,
+                stop_index=self.stop_index,
+                cpm_for_coord_alignment=self.cpm_for_coord_alignment,
+                **self.config_default_kwargs,
+            )
+
+    #
+    # # def _gen_input_folder_paths(
+    # #     self,
+    # #     path: PathLike,
+    # #     append_var_path_dict: bool = False,
+    # # ) -> Iterator[Path]:
+    # #     """Yield input paths of `self.variables` and `self.runs`."""
+    # #     var_path: Path
+    # #     for var in self.variables:
+    # #         var_path = Path(path) / var / self.sub_path
+    # #         if append_var_path_dict:
+    # #             self._path_dict[var_path] = var
+    # #         yield var_path
+    #
+    # def _gen_resample_folder_paths(
+    #     self,
+    #     path: PathLike,
+    #     append_input_path_dict: bool = False,
+    #     append_resampled_path_dict: bool = False,
+    # ) -> Iterator[tuple[Path, Path]]:
+    #     """Yield paths of resampled `self.variables` and `self.runs`."""
+    #     for var in self.variables:
+    #         input_path: Path = Path(path) / var / self.sub_path
+    #         resample_path: Path = Path(path) / var
+    #         if append_input_path_dict:
+    #             self._input_path_dict[input_path] = var
+    #         if append_resampled_path_dict:
+    #             self._resampled_path_dict[resample_path] = var
+    #         yield input_path, resample_path
+    #
+    # def _gen_crop_folder_paths(
+    #     self, path: PathLike, append_cropped_path_dict: bool = False
+    # ) -> Iterator[Path | None]:
+    #     """Return a Generator of paths of `self.variables` and `self.crops`."""
+    #     if not self.crop_regions:
+    #         return None
+    #     if not self._resampled_path_dict:
+    #         self._gen_resample_folder_paths(
+    #             self.input_paths,
+    #             append_input_path_dict=True,
+    #             append_resampled_path_dict=True,
+    #         )
+    #     for var in self.variables:
+    #         for region in self.crop_regions:
+    #             crop_path = Path(path) / var / region
+    #             if append_cropped_path_dict:
+    #                 self._cropped_path_dict[crop_path] = var
+    #             yield crop_path
+    #
+    # def check_paths(
+    #     self, run_set_data_paths: bool = True, run_set_crop_paths: bool = True
+    # ):
+    #     """Check if all `self.input_paths` exist."""
+    #
+    #     if run_set_data_paths:
+    #         # self.set_input_paths()
+    #         self.set_resample_paths()
+    #     if run_set_crop_paths:
+    #         self.set_crop_paths()
+    #     assert isinstance(self.input_paths, Iterable)
+    #     assert isinstance(self.resample_paths, Iterable)
+    #     if self.crop_paths:
+    #         try:
+    #             assert isinstance(self.crop_paths, Iterable)
+    #         except AssertionError:
+    #             raise ValueError(
+    #                 f"'crop_paths' not iterable for {self}. Hint: try setting 'run_set_crop_paths' to 'True'."
+    #             )
+    #     assert len(self.input_paths) == len(self.resample_paths)
+    #     for path in self.input_paths:
+    #         try:
+    #             assert Path(path).exists()
+    #             assert Path(path).is_dir()
+    #         except AssertionError:
+    #             message: str = (
+    #                 f"One of 'self.input_paths' in {self} not valid: '{path}'"
+    #             )
+    #             if self._allow_check_fail:
+    #                 logger.error(message)
+    #             else:
+    #                 raise FileExistsError(message)
+    #         try:
+    #             assert path in self._input_path_dict
+    #         except:
+    #             NotImplemented(
+    #                 f"Syncing `self._input_path_dict` with changes to `self.input_paths`."
+    #             )
+    #
+    # def _set_input_paths(self):
+    #     """Propagate `self.input_paths` if needed."""
+    #     if isinstance(self.input_paths, PathLike):
+    #         self._input_path = self.input_paths
+    #         self.input_paths = tuple(
+    #             input_path
+    #             for input_path, _ in self._gen_resample_folder_paths(
+    #                 self.input_paths, append_input_path_dict=True
+    #             )
+    #         )
+    #         if self._strict_fail_if_var_in_input_path:
+    #             for var in self.variables:
+    #                 try:
+    #                     assert var not in str(self._input_path)
+    #                 except AssertionError:
+    #                     raise self.VarirableInBaseImportPathError(
+    #                         f"Folder named '{var}' in self._input_path: "
+    #                         f"'{self._input_path}'. Try passing a parent path or "
+    #                         f"set '_strict_fail_if_var_in_input_path' to 'False'."
+    #                     )
+    #
+    # def set_resample_paths(self):
+    #     """Propagate `self.resample_paths` if needed."""
+    #     self._set_input_paths()
+    #     if isinstance(self.resample_paths, PathLike):
+    #         self._output_path = self.resample_paths
+    #         self.resample_paths = tuple(
+    #             resample_path
+    #             for _, resample_path in self._gen_resample_folder_paths(
+    #                 self.resample_paths, append_resampled_path_dict=True
+    #             )
+    #         )
+    #
+    # def set_crop_paths(self):
+    #     """Propagate `self.resample_paths` if needed."""
+    #     if isinstance(self.crop_paths, PathLike):
+    #         self._crop_path = self.crop_paths
+    #         self.crop_paths = tuple(
+    #             self._gen_crop_folder_paths(
+    #                 self.crop_paths, append_cropped_path_dict=True
+    #             )
+    #         )
+    #
+    # def set_cpm_for_coord_alignment(self) -> None:
+    #     """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
+    #     self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(self.cpm_for_coord_alignment)
+    #
+    # def yield_configs(self) -> Iterable[HADsResampler]:
+    #     """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
+    #     self.check_paths()
+    #     assert isinstance(self.resample_paths, Iterable)
+    #     # assert isinstance(self.crop_paths, Iterable)
+    #     for index, var_path in enumerate(self._input_path_dict.items()):
+    #         yield self.resampler_class(
+    #             input_path=var_path[0],
+    #             output_path=self.resample_paths[index],
+    #             variable_name=var_path[1],
+    #             start_index=self.start_index,
+    #             stop_index=self.stop_index,
+    #             **self.config_default_kwargs,
+    #         )
+    #
+    # def yield_crop_configs(self) -> Iterable[HADsResampler]:
+    #     """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
+    #     self.check_paths()
+    #     assert isinstance(self.input_paths, Iterable)
+    #     assert isinstance(self.resample_paths, Iterable)
+    #     assert isinstance(self.crop_paths, Iterable)
+    #     for index, input_resample_paths in enumerate(self._resampled_path_dict.items()):
+    #         for crop_path, region in self._cropped_path_dict.items():
+    #             yield self.resampler_class(
+    #                 input_path=input_resample_paths[0],
+    #                 output_path=self.resample_paths[index],
+    #                 variable_name=input_resample_paths[1],
+    #                 start_index=self.start_index,
+    #                 stop_index=self.stop_index,
+    #                 crop_path=crop_path,
+    #                 # Todo: remove below if single crop configs iterate over all
+    #                 # crop_regions=self.crop_regions,
+    #                 crop_regions=(region,),
+    #                 **self.config_default_kwargs,
+    #             )
+    #
+    # def __len__(self) -> int:
+    #     """Return the length of `self.input_files`."""
+    #     return (
+    #         len(self.input_paths[self.start_index : self.stop_index])
+    #         if isinstance(self.input_paths, Sequence)
+    #         else 0
+    #     )
+    #
+    # @property
+    # def max_count(self) -> int:
+    #     """Maximum length of `self.input_files` ignoring `start_index` and `start_index`."""
+    #     return len(self.input_paths) if isinstance(self.input_paths, Sequence) else 0
+    #
+    # def __iter__(self) -> Iterator[Path] | None:
+    #     if isinstance(self.input_paths, Sequence):
+    #         for file_path in self.input_paths[self.start_index : self.stop_index]:
+    #             yield Path(file_path)
+    #     else:
+    #         return None
+    #
+    # def __getitem__(self, key: int | slice) -> Path | tuple[Path, ...] | None:
+    #     if not self.input_paths or not isinstance(self.input_paths, Sequence):
+    #         return None
+    #     elif isinstance(key, int):
+    #         return Path(self.input_paths[key])
+    #     elif isinstance(key, slice):
+    #         return tuple(Path(path) for path in self.input_paths[key])
+    #     else:
+    #         raise IndexError(f"Can only index with 'int', not: '{key}'")
+    #
+    # def execute_resample_configs(
+    #     self, multiprocess: bool = False, cpus: int | None = None
+    # ) -> tuple[CPMResampler | HADsResampler, ...]:
+    #     """Run all resampler configurations
+    #
+    #     Parameters
+    #     ----------
+    #     multiprocess
+    #         If `True` run parameters in `resample_configs` with `multiprocess_execute`.
+    #     cpus
+    #         Number of `cpus` to pass to `multiprocess_execute`.
+    #     """
+    #     resamplers: tuple[CPMResampler | HADsResampler, ...] = tuple(
+    #         self.yield_configs()
+    #     )
+    #     results: list[list[Path] | None] = []
+    #     if multiprocess:
+    #         cpus = cpus or self.cpus
+    #         if self.total_cpus and cpus:
+    #             cpus = min(cpus, self.total_cpus - 1)
+    #         results = multiprocess_execute(resamplers, method_name="execute", cpus=cpus)
+    #     else:
+    #         for resampler in resamplers:
+    #             print(resampler)
+    #             results.append(resampler.execute())
+    #     return resamplers
+    #
+    # def execute_crop_configs(
+    #     self, multiprocess: bool = False, cpus: int | None = None
+    # ) -> tuple[CPMResampler | HADsResampler, ...]:
+    #     """Run all resampler configurations
+    #
+    #     Parameters
+    #     ----------
+    #     multiprocess
+    #         If `True` run parameters in `resample_configs` with `multiprocess_execute`.
+    #     cpus
+    #         Number of `cpus` to pass to `multiprocess_execute`.
+    #     """
+    #     croppers: tuple[CPMResampler | HADsResampler, ...] = tuple(
+    #         # self.yield_configs(
+    #         #     input_path=self.resample_paths, output_path=self.crop_path
+    #         # )
+    #         self.yield_crop_configs()
+    #     )
+    #     results: list[list[Path] | None] = []
+    #     if multiprocess:
+    #         cpus = cpus or self.cpus
+    #         if self.total_cpus and cpus:
+    #             cpus = min(cpus, self.total_cpus - 1)
+    #         results = multiprocess_execute(
+    #             croppers, method_name="execute_crops", cpus=cpus
+    #         )
+    #     else:
+    #         for cropper in croppers:
+    #             print(cropper)
+    #             results.append(cropper.execute_crops())
+    #     return croppers
+
+
+@dataclass(kw_only=True, repr=False)
+class CPMResamplerManager(ResamblerManagerBase):
     """Class to manage processing CPM resampling.
 
     Attributes
@@ -1038,7 +1421,7 @@ class CPMResamplerManager(HADsResamplerManager):
     runs
         Which `RunOptions` to include.
     crop_regions
-        `RegionOptions` (like Manchester, Scoltand etc.) to crop results to.
+        `RegionOptions` (like Manchester, Scotland etc.) to crop results to.
     crop_paths
         Where to save region crop files.
     sub_path
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 8baaeb31..5d05a3f2 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -1294,3 +1294,26 @@ def cftime_range_gen(time_data_array: T_DataArray, **kwargs) -> NDArray:
     )
     time_bnds_fix_range_end: CFTimeIndex = time_bnds_fix_range_start + timedelta(days=1)
     return np.array((time_bnds_fix_range_start, time_bnds_fix_range_end)).T
+
+
+def get_cpm_for_coord_alignment(
+    cpm_for_coord_alignment: PathLike | T_Dataset,
+) -> T_Dataset:
+    """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
+    if isinstance(cpm_for_coord_alignment, PathLike):
+        if Path(cpm_for_coord_alignment).is_dir():
+            cpm_for_coord_alignment = next(Path(cpm_for_coord_alignment).glob("t*.nc"))
+        cpm_for_coord_alignment = cpm_reproject_with_standard_calendar(
+            cpm_for_coord_alignment
+        )
+        logger.info(
+            f"Set 'self.cpm_for_coord_alignment' to: '{cpm_for_coord_alignment}'"
+        )
+    try:
+        assert isinstance(cpm_for_coord_alignment, Dataset)
+    except AssertionError:
+        raise AttributeError(
+            f"'cpm_for_coord_alignment' must be a 'Dataset'. "
+            f"Currently a {type(cpm_for_coord_alignment)}."
+        )
+    return cpm_for_coord_alignment

From 387070e3edb6b207e6ba762d51b25960dd0e2d08 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Fri, 6 Sep 2024 00:42:45 +0100
Subject: [PATCH 79/92] feat: add `cache-cpm-for-hads` to `GitHubActions`

---
 .github/workflows/ci.yaml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index 44694821..eef97674 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -17,11 +17,11 @@ env:
 
 on:
   pull_request:
-    branches: ['main', 'raw-data-resample', ]
+    branches: ['main', 'cache-cpm-for-hads', ]
     paths-ignore: ['docs/**']
 
   push:
-    branches: ['main', 'raw-data-resample', ]
+    branches: ['main', 'cache-cpm-for-hads', ]
     paths-ignore: ['docs/**']
 
 concurrency:

From 5cd4ce38c89930393ff94a146464ec1d69a3ab06 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sat, 7 Sep 2024 16:52:14 +0100
Subject: [PATCH 80/92] fix: `cpm_for_coord_alignment` and `LockCache` fixture
 delays

---
 python/clim_recal/config.py       |  20 ++++++
 python/clim_recal/pipeline.py     |   4 +-
 python/clim_recal/resample.py     |  23 +++++--
 python/clim_recal/utils/core.py   |   4 +-
 python/clim_recal/utils/xarray.py |  22 ++++++-
 python/conftest.py                |  57 ++++++++++++++---
 python/pdm.lock                   |  17 ++++-
 python/pyproject.toml             |   2 +
 python/tests/utils.py             | 102 ++++++++++++++++++++++++------
 9 files changed, 210 insertions(+), 41 deletions(-)

diff --git a/python/clim_recal/config.py b/python/clim_recal/config.py
index 05b2ae89..1c655320 100644
--- a/python/clim_recal/config.py
+++ b/python/clim_recal/config.py
@@ -19,6 +19,7 @@
 )
 from .utils.core import product_dict, results_path
 from .utils.data import MethodOptions, RegionOptions, RunOptions, VariableOptions
+from .utils.xarray import get_cpm_for_coord_alignment
 
 warnings.filterwarnings("ignore", category=TqdmExperimentalWarning)
 
@@ -75,6 +76,8 @@ class ClimRecalConfig(BaseRunConfig):
         A `dict` of parameters to pass to a `CPMResamplerManager`.
     hads_kwargs
         A `dict` of parameters to pass to `HADsResamplerManager`.
+    cpm_for_coord_alignment
+        A `Path` to a `CPM` file to align `HADs` coordinates to.
     debug_mode
         Set to `True` to add more detailed debug logs, including `GDAL`.
 
@@ -114,6 +117,8 @@ class ClimRecalConfig(BaseRunConfig):
     add_local_dated_crops_path: bool = True
     local_dated_results_path_prefix: str = "run"
     local_dated_crops_path_prefix: str = "crop"
+    cpm_for_coord_alignment: PathLike | None = None
+    process_cmp_for_coord_alignment: bool = False
     debug_mode: bool = False
 
     @property
@@ -132,6 +137,7 @@ def exec_path(self) -> Path:
 
         Examples
         --------
+        >>> clim_runner: ClimRecalConfig = getfixture('clim_runner')
         >>> print(clim_runner.exec_path)
         <BLANKLINE>
         ...test-run-results.../run...
@@ -152,6 +158,7 @@ def dated_results_path(self) -> Path | None:
 
         Examples
         --------
+        >>> clim_runner: ClimRecalConfig = getfixture('clim_runner')
         >>> print(clim_runner.dated_results_path)
         <BLANKLINE>
         ...test-run-results.../run...
@@ -172,6 +179,7 @@ def dated_crops_path(self) -> Path | None:
 
         Examples
         --------
+        >>> clim_runner: ClimRecalConfig = getfixture('clim_runner')
         >>> print(clim_runner.dated_crops_path)
         <BLANKLINE>
         ...test-run-results.../crop...
@@ -226,6 +234,8 @@ def __post_init__(self) -> None:
             stop_index=self.stop_index,
             **self.cpm_kwargs,
         )
+        if self.process_cmp_for_coord_alignment:
+            self.set_cpm_for_coord_alignment()
         self.hads_manager = HADsResamplerManager(
             input_paths=self.hads_input_path,
             variables=self.variables,
@@ -233,12 +243,19 @@ def __post_init__(self) -> None:
             crop_paths=self.crops_path,
             start_index=self.start_index,
             stop_index=self.stop_index,
+            cpm_for_coord_alignment=self.cpm_for_coord_alignment,
             **self.hads_kwargs,
         )
         self.total_cpus: int | None = cpu_count()
         if self.cpus == None or (self.total_cpus and self.cpus >= self.total_cpus):
             self.cpus = 1 if not self.total_cpus else self.total_cpus - 1
 
+    def set_cpm_for_coord_alignment(self) -> None:
+        """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
+        self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
+            self.cpm_for_coord_alignment
+        )
+
     def __repr__(self) -> str:
         """Summary of `self` configuration as a `str`."""
         return (
@@ -260,6 +277,7 @@ def model_vars(self) -> ClimRecalRunsConfigType:
 
         Examples
         --------
+        >>> clim_runner: ClimRecalConfig = getfixture('clim_runner')
         >>> pprint(clim_runner.model_vars)
         {'methods': ('quantile_delta_mapping',),
          'regions': ('Glasgow', 'Manchester'),
@@ -279,6 +297,7 @@ def model_configs(self) -> tuple[RunConfigType, ...]:
 
         Examples
         --------
+        >>> clim_runner: ClimRecalConfig = getfixture('clim_runner')
         >>> pprint(clim_runner.model_configs)
         ({'method': 'quantile_delta_mapping',
           'region': 'Glasgow',
@@ -362,6 +381,7 @@ def run_models(self) -> ClimRecalRunResultsType:
 
         Examples
         --------
+        >>> clim_runner: ClimRecalConfig = getfixture('clim_runner')
         >>> runs: dict[tuple, dict] = clim_runner.run_models()
         >>> pprint(tuple(runs.keys()))
         (('Glasgow', 'tasmax', '05', 'quantile_delta_mapping'),
diff --git a/python/clim_recal/pipeline.py b/python/clim_recal/pipeline.py
index db043f14..d5959398 100644
--- a/python/clim_recal/pipeline.py
+++ b/python/clim_recal/pipeline.py
@@ -303,7 +303,7 @@ def main(
             else:
                 print(f"Cropping CPMs to regions {config.regions}: ...")
                 region_cropped_cpm_resamples: tuple[CPMResampler, ...] = (
-                    config.cpm_manager.execute_region_crop_configs(
+                    config.cpm_manager.execute_crop_configs(
                         multiprocess=multiprocess, cpus=cpus
                     )
                 )
@@ -315,7 +315,7 @@ def main(
                     f"Cropping HADS 2.2km projections to regions {config.regions}: ..."
                 )
                 region_cropped_hads_resamples: tuple[CPMResampler, ...] = (
-                    config.hads_manager.execute_region_crop_configs(
+                    config.hads_manager.execute_crop_configs(
                         multiprocess=multiprocess, cpus=cpus
                     )
                 )
diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index 335a79f2..66fdd3fc 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -453,14 +453,16 @@ class HADsResampler(ResamblerBase):
     --------
     >>> if not is_data_mounted:
     ...     pytest.skip(mount_doctest_skip_message)
-    >>> hads_resampler: HADsResampler = HADsResampler(
+    >>> resample_test_hads_output_path: Path = getfixture(
+    ...         'resample_test_hads_output_path')
+    >>> hads_resampler: HADsResampler = HADsResampler(  # doctest: +SKIP
     ...     output_path=resample_test_hads_output_path,
     ... )
-    >>> hads_resampler
+    >>> hads_resampler  # doctest: +SKIP
     <HADsResampler(...count=504,...
         ...input_path='.../tasmax/day',...
         ...output_path='...run-results_..._.../hads')>
-    >>> pprint(hads_resampler.input_files)
+    >>> pprint(hads_resampler.input_files)   # doctest: +SKIP
     (...Path('.../tasmax/day/tasmax_hadukgrid_uk_1km_day_19800101-19800131.nc'),
      ...Path('.../tasmax/day/tasmax_hadukgrid_uk_1km_day_19800201-19800229.nc'),
      ...,
@@ -585,6 +587,8 @@ class CPMResampler(ResamblerBase):
     --------
     >>> if not is_data_mounted:
     ...     pytest.skip(mount_doctest_skip_message)
+    >>> resample_test_cpm_output_path: Path = getfixture(
+    ...         'resample_test_cpm_output_path')
     >>> cpm_resampler: CPMResampler = CPMResampler(
     ...     input_path=REPROJECTED_CPM_TASMAX_05_LATEST_INPUT_PATH,
     ...     output_path=resample_test_cpm_output_path,
@@ -703,7 +707,7 @@ def __post_init__(self) -> None:
         self.total_cpus: int | None = cpu_count()
         if not self.cpus:
             self.cpus = 1 if not self.total_cpus else self.total_cpus
-        self.cpm_for_coord_alignment: T_Dataset | PathLike = RAW_CPM_TASMAX_PATH
+        # self.cpm_for_coord_alignment: T_Dataset | PathLike = RAW_CPM_TASMAX_PATH
 
     @property
     def input_folder(self) -> Path | None:
@@ -1035,6 +1039,8 @@ class HADsResamplerManager(ResamblerManagerBase):
     --------
     >>> if not is_data_mounted:
     ...     pytest.skip(mount_doctest_skip_message)
+    >>> resample_test_hads_output_path: Path = getfixture(
+    ...         'resample_test_hads_output_path')
     >>> hads_resampler_manager: HADsResamplerManager = HADsResamplerManager(
     ...     variables=VariableOptions.all(),
     ...     resample_paths=resample_test_hads_output_path,
@@ -1121,7 +1127,7 @@ def __repr__(self) -> str:
     def __post_init__(self) -> None:
         """Ensure `self.cpm_for_coord_alignment` is set."""
         super().__post_init__()
-        self.set_cpm_for_coord_alignment()
+        # self.set_cpm_for_coord_alignment()
 
     def set_cpm_for_coord_alignment(self) -> None:
         """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
@@ -1449,6 +1455,8 @@ class CPMResamplerManager(ResamblerManagerBase):
     --------
     >>> if not is_data_mounted:
     ...     pytest.skip(mount_doctest_skip_message)
+    >>> resample_test_cpm_output_path: Path = getfixture(
+    ...         'resample_test_cpm_output_path')
     >>> cpm_resampler_manager: CPMResamplerManager = CPMResamplerManager(
     ...     stop_index=9,
     ...     resample_paths=resample_test_cpm_output_path,
@@ -1503,6 +1511,11 @@ def __repr__(self) -> str:
             f"input_paths_count={len(self.input_paths) if isinstance(self.input_paths, Sequence) else 1})>"
         )
 
+    # def __post_init__(self) -> None:
+    #     """Ensure `self.cpm_for_coord_alignment` is set."""
+    #     super().__post_init__()
+    #     self.set_cpm_for_coord_alignment()
+
     # def _gen_input_folder_paths(
     #     self, path: PathLike, append_var_path_dict: bool = False, cpm_paths: bool = True
     # ) -> Iterator[Path]:
diff --git a/python/clim_recal/utils/core.py b/python/clim_recal/utils/core.py
index f7028f43..919c472d 100644
--- a/python/clim_recal/utils/core.py
+++ b/python/clim_recal/utils/core.py
@@ -187,9 +187,11 @@ def multiprocess_execute(
     >>> if not is_data_mounted:
     ...     pytest.skip(mount_doctest_skip_message)
     >>> from clim_recal.resample import CPMResampler
+    >>> resample_test_hads_output_path: Path = getfixture(
+    ...         'resample_test_cpm_output_path')
     >>> cpm_resampler: CPMResampler = CPMResampler(
     ...     stop_index=3,
-    ...     output_path=resample_test_cpm_output_path,
+    ...     output_path=resample_test_hads_output_path,
     ... )
     >>> multiprocess_execute(cpm_resampler, method_name="exists")
     [True, True, True]
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 5d05a3f2..11afd4b0 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -76,6 +76,7 @@
 GLASGOW_GEOM_ABSOLUTE_PATH: Final[Path] = (
     climate_data_mount_path() / GLASGOW_GEOM_LOCAL_PATH
 )
+CPM_REGEX: Final[str] = "[!.]*cpm*.nc"
 HADS_MIN_NULL: float = -1000000
 
 # MONTH_DAY_DROP: DropDayType = {(1, 31), (4, 1), (6, 1), (8, 1), (10, 1), (12, 1)}
@@ -1297,12 +1298,27 @@ def cftime_range_gen(time_data_array: T_DataArray, **kwargs) -> NDArray:
 
 
 def get_cpm_for_coord_alignment(
-    cpm_for_coord_alignment: PathLike | T_Dataset,
+    cpm_for_coord_alignment: PathLike | T_Dataset, cpm_regex: str = CPM_REGEX
 ) -> T_Dataset:
-    """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
+    """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`.
+
+    Parameters
+    ----------
+    cpm_for_coord_alignment
+        Either a `Path` or a file or folder with a `cpm` file to align to
+        or a `xarray.Dataset`. If a folder, the first file matching
+        `cpm_regex` will be used. It will then be processed via
+        `cpm_reproject_with_standard_calendar` for comparability and use
+        alongside `cpm` files.
+    cpm_regex
+        A regular expression to filter suitable files if
+        `cpm_for_coord_alignment` is a folder `Path`.
+    """
     if isinstance(cpm_for_coord_alignment, PathLike):
         if Path(cpm_for_coord_alignment).is_dir():
-            cpm_for_coord_alignment = next(Path(cpm_for_coord_alignment).glob("t*.nc"))
+            cpm_for_coord_alignment = next(
+                Path(cpm_for_coord_alignment).glob(cpm_regex)
+            )
         cpm_for_coord_alignment = cpm_reproject_with_standard_calendar(
             cpm_for_coord_alignment
         )
diff --git a/python/conftest.py b/python/conftest.py
index c3c207c0..2360243e 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -4,7 +4,7 @@
 from pathlib import Path
 from pprint import pprint
 from shutil import copytree, rmtree
-from typing import Final, Iterator
+from typing import Callable, Final, Iterator
 
 import pytest
 from coverage_badge.__main__ import main as gen_cov_badge
@@ -67,6 +67,8 @@
 TEST_DATA_PATH: Final[Path] = TEST_FILE_PATH / "data"
 LOCAL_FIXTURE_PATH_NAME: Final[Path] = Path("local-cache")
 
+collect_ignore_glob: list[str] = ["*run*", "*.png", "*.xlsx"]
+
 
 @pytest.fixture
 def mod_folder_files_count_correct() -> int:
@@ -118,7 +120,9 @@ def local_cache_fixtures(
     local_hads_cache_path: Path,
     sync_all: bool,
     use_async: bool,
+    printer_session: Callable[[str], None],
 ) -> LocalCachesManager:
+    printer_session("Loading local fixtures cache...")
     cache_manager: LocalCachesManager = LocalCachesManager(
         default_local_cache_path=local_cache_path,
         caches=(
@@ -129,6 +133,14 @@ def local_cache_fixtures(
                 reader=open_dataset,
                 reader_kwargs={"decode_coords": "all"},
             ),
+            # LocalCache(
+            #     name="tasmax_cpm_1980_converted",
+            #     source_path=CPM_RAW_TASMAX_EXAMPLE_PATH,
+            #     local_cache_path=local_cpm_cache_path,
+            #     reader=open_dataset,
+            #     reader_kwargs={"decode_coords": "all"},
+            #     parser=cpm_reproject_with_standard_calendar,
+            # ),
             LocalCache(
                 name="tasmax_hads_1980_raw",
                 source_path=HADS_RAW_TASMAX_EXAMPLE_PATH,
@@ -210,6 +222,31 @@ def tasmax_hads_1980_raw_path(
         return local_cache_fixtures["tasmax_hads_1980_raw"].source_path
 
 
+@pytest.fixture(scope="session")
+def tasmax_cpm_1980_converted(
+    local_cache: bool,
+    local_cpm_cache_path: Path,
+    local_cache_fixtures: LocalCachesManager,
+) -> T_Dataset | None:
+    if local_cache:
+        return local_cache_fixtures["tasmax_cpm_1980_converted"].read(
+            cache_path=local_cpm_cache_path
+        )
+    else:
+        return None
+
+
+@pytest.fixture(scope="session")
+def tasmax_cpm_1980_converted_path(
+    local_cache: bool,
+    local_cache_fixtures: LocalCachesManager,
+) -> T_Dataset:
+    if local_cache:
+        return local_cache_fixtures["tasmax_cpm_1980_converted"].local_cache_path
+    else:
+        return local_cache_fixtures["tasmax_cpm_1980_converted"].source_path
+
+
 # This may be removed in future
 # @pytest.fixture(autouse=True)
 def ensure_python_path() -> None:
@@ -377,6 +414,7 @@ def uk_rotated_grid_bounds() -> BoundsTupleType:
 
 
 # Note: it may be worth setting this to cache for session runs
+# This requires a different tmp_path configuration
 @pytest.fixture
 def clim_runner(
     tmp_path: Path,
@@ -385,6 +423,7 @@ def clim_runner(
     test_runs_output_path: PathLike,
     local_hads_cache_path: PathLike,
     local_cpm_cache_path: PathLike,
+    # tasmax_cpm_1980_converted_path: PathLike,
 ) -> ClimRecalConfig:
     """Return default `ClimRecalConfig`."""
     assert local_cache_fixtures.default_local_cache_path
@@ -400,6 +439,7 @@ def clim_runner(
             preprocess_out_folder=tmp_path,
             regions=regions,
             output_path=test_runs_output_path,
+            # cpm_for_coord_alignment=tasmax_cpm_1980_converted_path,
         )
     except (FileExistsError, AssertionError):
         return ClimRecalConfig(
@@ -411,6 +451,7 @@ def clim_runner(
             # Todo: refactor to use caching to speed up runs
             cpm_kwargs=dict(_allow_check_fail=True),
             hads_kwargs=dict(_allow_check_fail=True),
+            # cpm_for_coord_alignment=tasmax_cpm_1980_converted_path,
         )
 
 
@@ -437,7 +478,7 @@ def glasgow_example_cropped_cpm_rainfall_path(data_fixtures_path: Path) -> Path:
 
 
 @pytest.fixture
-def glasgow_tif_cache(data_fixtures_path: Path, tmp_path: Path) -> LocalCache:
+def test_users_cache(data_fixtures_path: Path, tmp_path: Path) -> LocalCache:
     return LocalCache(
         name="test-users",
         source_path=data_fixtures_path / "test_user_accounts.xlsx",
@@ -462,10 +503,10 @@ def doctest_auto_fixtures(
     glasgow_epsg_27700_bounds: BoundsTupleType,
     glasgow_shape_file_path: Path,
     test_runs_output_path: Path,
-    resample_test_cpm_output_path: Path,
-    resample_test_hads_output_path: Path,
+    # resample_test_cpm_output_path: Path,
+    # resample_test_hads_output_path: Path,
     glasgow_example_cropped_cpm_rainfall_path: Path,
-    clim_runner: ClimRecalConfig,
+    # clim_runner: ClimRecalConfig,
 ) -> None:
     """Elements to add to default `doctest` namespace."""
     doctest_namespace["CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT"] = (
@@ -510,8 +551,8 @@ def doctest_auto_fixtures(
     doctest_namespace["glasgow_epsg_27700_bounds"] = glasgow_epsg_27700_bounds
     doctest_namespace["glasgow_shape_file_path"] = glasgow_shape_file_path
     doctest_namespace["test_runs_output_path"] = test_runs_output_path
-    doctest_namespace["resample_test_hads_output_path"] = resample_test_hads_output_path
-    doctest_namespace["resample_test_cpm_output_path"] = resample_test_cpm_output_path
+    # doctest_namespace["resample_test_hads_output_path"] = resample_test_hads_output_path
+    # doctest_namespace["resample_test_cpm_output_path"] = resample_test_cpm_output_path
     doctest_namespace["mount_doctest_skip_message"] = MOUNT_DOCTEST_SKIP_MESSAGE
     doctest_namespace["mount_or_cache_doctest_skip_message"] = (
         MOUNT_OR_CACHE_DOCTEST_SKIP_MESSAGE
@@ -519,7 +560,7 @@ def doctest_auto_fixtures(
     doctest_namespace["glasgow_example_cropped_cpm_rainfall_path"] = (
         glasgow_example_cropped_cpm_rainfall_path
     )
-    doctest_namespace["clim_runner"] = clim_runner
+    # doctest_namespace["clim_runner"] = clim_runner
 
 
 def pytest_sessionfinish(session, exitstatus):
diff --git a/python/pdm.lock b/python/pdm.lock
index a5ca479b..9ab6f9aa 100644
--- a/python/pdm.lock
+++ b/python/pdm.lock
@@ -5,7 +5,7 @@
 groups = ["default", "dev"]
 strategy = ["inherit_metadata"]
 lock_version = "4.5.0"
-content_hash = "sha256:0cdc21112758f7753fb9320582ff928e8e3629b9e5012128763450e4cfe491d1"
+content_hash = "sha256:315d60178a32e76bd4dac1cfc8bb65598021c0490932d1047c4ba94df1c38f00"
 
 [[metadata.targets]]
 requires_python = "~=3.12.5"
@@ -2407,6 +2407,21 @@ files = [
     {file = "pytest_cov-4.1.0-py3-none-any.whl", hash = "sha256:6ba70b9e97e69fcc3fb45bfeab2d0a138fb65c4d0d6a41ef33983ad114be8c3a"},
 ]
 
+[[package]]
+name = "pytest-print"
+version = "1.0.0"
+requires_python = ">=3.8"
+summary = "pytest-print adds the printer fixture you can use to print messages to the user (directly to the pytest runner, not stdout)"
+groups = ["dev"]
+marker = "python_full_version ~= \"3.12.5\""
+dependencies = [
+    "pytest>=7.4",
+]
+files = [
+    {file = "pytest_print-1.0.0-py3-none-any.whl", hash = "sha256:23484f42b906b87e31abd564761efffeb0348a6f83109fb857ee6e8e5df42b69"},
+    {file = "pytest_print-1.0.0.tar.gz", hash = "sha256:1fcde9945fba462227a8959271369b10bb7a193be8452162707e63cd60875ca0"},
+]
+
 [[package]]
 name = "pytest-sugar"
 version = "1.0.0"
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 7d8cfc82..357c0d04 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -61,6 +61,7 @@ dev = [
     "pytest-xdist>=3.5.0",
     "sysrsync>=1.1.1",
     "pydantic>=2.8.2",
+    "pytest-print>=1.0.0",
 ]
 
 [tool.pdm.build]
@@ -89,6 +90,7 @@ addopts = """
     --strict-markers
     --durations=5
     --failed-first
+    --print
 """
 doctest_optionflags = ["NORMALIZE_WHITESPACE", "ELLIPSIS",]
 testpaths = [
diff --git a/python/tests/utils.py b/python/tests/utils.py
index c39ca9fc..5299f321 100644
--- a/python/tests/utils.py
+++ b/python/tests/utils.py
@@ -9,7 +9,7 @@
 
 import sysrsync
 from numpy import array, random
-from pandas import date_range, to_datetime
+from pandas import to_datetime
 from xarray import DataArray
 from xarray.core.types import T_DataArray, T_DataArrayOrSet
 
@@ -55,6 +55,9 @@
 CPM_RAW_TASMAX_1980_FILE: Final[Path] = Path(
     "tasmax_rcp85_land-cpm_uk_2.2km_01_day_19801201-19811130.nc"
 )
+CPM_CONVERTED_TASMAX_1980_FILE: Final[Path] = Path(
+    "tasmax_rcp85_land-cpm_uk_2.2km_05_day_std_year_19801201-19811130.nc"
+)
 HADS_RAW_TASMAX_1980_FILE: Final[Path] = Path(
     "tasmax_hadukgrid_uk_1km_day_19800101-19800131.nc"
 )
@@ -368,6 +371,9 @@ class LocalCache:
     reader: Callable | None = None
     reader_kwargs: dict[str, Any] = field(default_factory=dict)
 
+    parser: Callable | None = None
+    parser_kwargs: dict[str, Any] = field(default_factory=dict)
+
     _make_parent_folders: bool = True
 
     def __repr__(self) -> str:
@@ -394,7 +400,7 @@ def cache_path(self) -> Path:
         """Path to copy `source_path` file to."""
         assert isinstance(self.source_path, Path)
         assert isinstance(self.local_cache_path, Path)
-        if not self.local_cache_path.is_file():
+        if not self.local_cache_path.is_file() and not self.local_cache_path.suffix:
             logger.debug(
                 f"'local_cache_path' is a folder: "
                 f"'{self.local_cache_path}'. Inferring file name "
@@ -430,24 +436,70 @@ def _update_synced(self) -> None:
         if not self.created:
             self.created = self.synced
 
+    def parse(self) -> T_DataArrayOrSet | None:
+        """If `self.parser` is set, process file prior to syncing.
+
+        Examples
+        --------
+        >>> test_users_cache = getfixture('test_users_cache')
+        >>> from pandas import read_excel
+        >>> from xarray import Dataset, open_dataset
+        >>>
+        >>> def excel_to_netcdf(path: PathLike):
+        ...     df = read_excel(Path(path))
+        ...     return df.to_xarray()
+        >>> test_users_cache.parser = excel_to_netcdf
+        >>> test_users_cache.reader = open_dataset
+        >>> users_df: Dataset = test_users_cache.parse()
+        >>> test_users_cache.read(run_sync=True)
+        <xarray.Dataset>...
+        Dimensions:    (index: 5)
+        Coordinates:
+          * index      (index) int64 40B 0 1 2 3 4
+        Data variables:
+            A Column   (index) int64 40B ...
+            User Name  (index) <U8 160B ...
+            Password   (index) <U12 240B ...
+        >>> test_users_cache
+        <LocalCache(name='test-users', is_cached=True)>
+        """
+        if self.parser:
+            return self.parser(self.source_path, **self.parser_kwargs)
+        else:
+            return None
+
     async def async_sync(
         self, fail_if_no_source: bool = True, **kwargs
     ) -> CacheLogType:
         """Asyncronously sync `self.source_path` to `self.cache_path`."""
         if self._check_source_path(fail_if_no_source=fail_if_no_source):
-            await asyncio.create_subprocess_exec(
-                "rsync", str(self.source_path), str(self.cache_path), **kwargs
-            )
+            if self.parser:
+                logger.info(f"Asyncing 'parser' for {self}...")
+                intermediate: T_DataArrayOrSet = self.parse()
+                intermediate.to_netcdf(self.cache_path)
+            else:
+                logger.info(f"Asyncing 'rsync' for {self}...")
+                await asyncio.create_subprocess_exec(
+                    "rsync", str(self.source_path), str(self.cache_path), **kwargs
+                )
             self._update_synced()
         return self.name, self.synced, self.cache_path
 
     def sync(self, fail_if_no_source: bool = True, **kwargs) -> CacheLogType:
         """Sync `self.source_path` to `self.cache_path`."""
         if self._check_source_path(fail_if_no_source=fail_if_no_source):
-            sysrsync.run(
-                source=str(self.source_path), destination=str(self.cache_path), **kwargs
-            )
-            self._update_synced()
+            if self.parser:
+                logger.info(f"Syncing 'parser' for {self}...")
+                intermediate: T_DataArrayOrSet = self.parse()
+                intermediate.to_netcdf(self.cache_path)
+            else:
+                logger.info(f"Syncing 'rsync' for {self}...")
+                sysrsync.run(
+                    source=str(self.source_path),
+                    destination=str(self.cache_path),
+                    **kwargs,
+                )
+                self._update_synced()
         return self.name, self.synced, self.cache_path
 
     def read(self, cache_path: bool = True, run_sync: bool = False, **kwargs) -> Any:
@@ -459,6 +511,8 @@ def read(self, cache_path: bool = True, run_sync: bool = False, **kwargs) -> Any
             Whether to read `self.cache_path` (`True`) or `self.source_path` (`False`).
         run_sync
             Whether to run `run_sync` if `self.cache_path` is not set.
+        kwargs
+            Any additional parameters to pass to `self.reader`
 
         Returns
         -------
@@ -466,28 +520,28 @@ def read(self, cache_path: bool = True, run_sync: bool = False, **kwargs) -> Any
 
         Examples
         --------
-        >>> glasgow_tif_cache = getfixture('glasgow_tif_cache')
-        >>> glasgow_tif_cache.read()
+        >>> test_users_cache = getfixture('test_users_cache')
+        >>> test_users_cache.read()
         Traceback (most recent call last):
             ...
         ValueError: `reader` attribute must be set for
         <LocalCache(name='test-users', is_cached=False)>
         >>> from pandas import read_excel
-        >>> glasgow_tif_cache.reader = read_excel
-        >>> glasgow_tif_cache.read()
+        >>> test_users_cache.reader = read_excel
+        >>> test_users_cache.read()
         Traceback (most recent call last):
             ...
         ValueError: Can't use `local_path` prior to
         cache run. Run with `run_sync` to override for
         <LocalCache(name='test-users', is_cached=False)>.
-        >>> glasgow_tif_cache.read(run_sync=True)
+        >>> test_users_cache.read(run_sync=True)
            A Column User Name      Password
         0         1     sally        a pass
         1         2    george  another pass
         2        34      jean       passing
         3         4  felicity      pastoral
         4         2     frank        plough
-        >>> glasgow_tif_cache
+        >>> test_users_cache
         <LocalCache(name='test-users', is_cached=True)>
         """
         if not self.reader:
@@ -515,13 +569,13 @@ class LocalCachesManager(UserDict):
 
     Attributes
     ----------
-    sources
-        A `dict` of `name`: `configs` to construct `LocalCache` instances
+    caches
+        A `Sequence` of `LocalCache` instances to manage
 
     Examples
     --------
-    >>> glasow_tif_cache = getfixture('glasgow_tif_cache')
-    >>> cache_configs = LocalCachesManager([glasow_tif_cache])
+    >>> test_users_cache = getfixture('test_users_cache')
+    >>> cache_configs = LocalCachesManager([test_users_cache])
     >>> cache_configs
     <LocalCachesManager(count=1)>
     >>> asyncio.run(cache_configs.async_sync_all())
@@ -561,8 +615,9 @@ def check_default_cache_path(self) -> bool:
     def __post_init__(self) -> None:
         """Populate the `data` attribute."""
         self._sync_caches_attr()
-        if not self._synced:
-            self.sync_all(fail_if_no_source=self.fail_if_no_source)
+        # Removing this to avoid test delays from auto_syncing
+        # if not self._synced:
+        #     self.sync_all(fail_if_no_source=self.fail_if_no_source)
 
     @property
     def cached_paths(self) -> tuple[Path, ...]:
@@ -572,6 +627,11 @@ def cached_paths(self) -> tuple[Path, ...]:
     def sync_all(self, fail_if_no_source: bool = True, **kwargs) -> tuple[Path, ...]:
         """Run `sync` on all `self.caches` instances."""
         sync_results: CacheLogType
+        fail_if_no_source = self.fail_if_no_source or self.fail_if_no_source
+        logger.info(
+            f"'fail_if_no_source' is {self.fail_if_no_source}. "
+            f"Syncing {len(self)} cached files..."
+        )
         for local_cacher in self.values():
             sync_results = local_cacher.sync(
                 fail_if_no_source=fail_if_no_source, **kwargs

From 4c89c642ba905d5d5d2f82de2594d9f269f1f0fd Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sat, 7 Sep 2024 18:46:12 +0100
Subject: [PATCH 81/92] fix: remove `pytest-print` and fix `doctests` for
 `GitHub`

---
 python/clim_recal/utils/server.py |  8 ++++----
 python/conftest.py                |  4 +---
 python/pdm.lock                   | 17 +----------------
 python/pyproject.toml             |  2 --
 python/tests/utils.py             |  8 ++++----
 5 files changed, 10 insertions(+), 29 deletions(-)

diff --git a/python/clim_recal/utils/server.py b/python/clim_recal/utils/server.py
index 4220e323..6b1b502e 100644
--- a/python/clim_recal/utils/server.py
+++ b/python/clim_recal/utils/server.py
@@ -495,9 +495,9 @@ def make_user(
     >>> user_name: str = 'an_unlinkely_test_user'
     >>> password: str = 'test_pass'
     >>> code_path: Path = JUPYTER_DOCKER_USER_PATH
-    >>> make_user(user_name, password, code_path=code_path)
+    >>> make_user(user_name, password, code_path=code_path)  # +SKIP
     PosixPath('/home/an_unlinkely_test_user')
-    >>> Path(f'/home/{user_name}/python/conftest.py').is_file()
+    >>> Path(f'/home/{user_name}/python/conftest.py').is_file()  # +SKIP
     True
     >>> rm_user(user_name)
     'an_unlinkely_test_user'
@@ -593,10 +593,10 @@ def make_users(
     ...     file_reader=excel_row_iter,
     ...     code_path=JUPYTER_DOCKER_USER_PATH,
     ... ))
-    >>> [(path / 'python' / 'conftest.py').is_file()
+    >>> [(path / 'python' / 'conftest.py').is_file()  # +SKIP
     ...  for path in user_paths]
     [True, True, True, True, True]
-    >>> [rm_user(user_path.name) for user_path in user_paths]
+    >>> [rm_user(user_path.name) for user_path in user_paths]  # +SKIP
     ['sally', 'george', 'jean', 'felicity', 'frank']
     """
     for record in file_reader(file_path):
diff --git a/python/conftest.py b/python/conftest.py
index 2360243e..aed35818 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -4,7 +4,7 @@
 from pathlib import Path
 from pprint import pprint
 from shutil import copytree, rmtree
-from typing import Callable, Final, Iterator
+from typing import Final, Iterator
 
 import pytest
 from coverage_badge.__main__ import main as gen_cov_badge
@@ -120,9 +120,7 @@ def local_cache_fixtures(
     local_hads_cache_path: Path,
     sync_all: bool,
     use_async: bool,
-    printer_session: Callable[[str], None],
 ) -> LocalCachesManager:
-    printer_session("Loading local fixtures cache...")
     cache_manager: LocalCachesManager = LocalCachesManager(
         default_local_cache_path=local_cache_path,
         caches=(
diff --git a/python/pdm.lock b/python/pdm.lock
index 9ab6f9aa..a5ca479b 100644
--- a/python/pdm.lock
+++ b/python/pdm.lock
@@ -5,7 +5,7 @@
 groups = ["default", "dev"]
 strategy = ["inherit_metadata"]
 lock_version = "4.5.0"
-content_hash = "sha256:315d60178a32e76bd4dac1cfc8bb65598021c0490932d1047c4ba94df1c38f00"
+content_hash = "sha256:0cdc21112758f7753fb9320582ff928e8e3629b9e5012128763450e4cfe491d1"
 
 [[metadata.targets]]
 requires_python = "~=3.12.5"
@@ -2407,21 +2407,6 @@ files = [
     {file = "pytest_cov-4.1.0-py3-none-any.whl", hash = "sha256:6ba70b9e97e69fcc3fb45bfeab2d0a138fb65c4d0d6a41ef33983ad114be8c3a"},
 ]
 
-[[package]]
-name = "pytest-print"
-version = "1.0.0"
-requires_python = ">=3.8"
-summary = "pytest-print adds the printer fixture you can use to print messages to the user (directly to the pytest runner, not stdout)"
-groups = ["dev"]
-marker = "python_full_version ~= \"3.12.5\""
-dependencies = [
-    "pytest>=7.4",
-]
-files = [
-    {file = "pytest_print-1.0.0-py3-none-any.whl", hash = "sha256:23484f42b906b87e31abd564761efffeb0348a6f83109fb857ee6e8e5df42b69"},
-    {file = "pytest_print-1.0.0.tar.gz", hash = "sha256:1fcde9945fba462227a8959271369b10bb7a193be8452162707e63cd60875ca0"},
-]
-
 [[package]]
 name = "pytest-sugar"
 version = "1.0.0"
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 357c0d04..7d8cfc82 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -61,7 +61,6 @@ dev = [
     "pytest-xdist>=3.5.0",
     "sysrsync>=1.1.1",
     "pydantic>=2.8.2",
-    "pytest-print>=1.0.0",
 ]
 
 [tool.pdm.build]
@@ -90,7 +89,6 @@ addopts = """
     --strict-markers
     --durations=5
     --failed-first
-    --print
 """
 doctest_optionflags = ["NORMALIZE_WHITESPACE", "ELLIPSIS",]
 testpaths = [
diff --git a/python/tests/utils.py b/python/tests/utils.py
index 5299f321..0484b893 100644
--- a/python/tests/utils.py
+++ b/python/tests/utils.py
@@ -455,11 +455,11 @@ def parse(self) -> T_DataArrayOrSet | None:
         <xarray.Dataset>...
         Dimensions:    (index: 5)
         Coordinates:
-          * index      (index) int64 40B 0 1 2 3 4
+          * index      (index) int64...0 1 2 3 4
         Data variables:
-            A Column   (index) int64 40B ...
-            User Name  (index) <U8 160B ...
-            Password   (index) <U12 240B ...
+            A Column   (index)...
+            User Name  (index)...
+            Password   (index)...
         >>> test_users_cache
         <LocalCache(name='test-users', is_cached=True)>
         """

From f27b82abac20f454d8a10e166d26441a349347a0 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 8 Sep 2024 04:25:16 +0100
Subject: [PATCH 82/92] fix: crop management for `cpm` data, progress for
 `hads`

---
 python/clim_recal/resample.py     | 131 ++++++++++++++++++++----------
 python/clim_recal/utils/server.py |   8 +-
 python/clim_recal/utils/xarray.py |  55 ++++++++++++-
 python/conftest.py                |  47 ++++++-----
 python/tests/test_resample.py     |  80 +++++++++++++++++-
 5 files changed, 251 insertions(+), 70 deletions(-)

diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index 66fdd3fc..42868dba 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -46,10 +46,12 @@
     NETCDF_EXTENSION_STR,
     ReprojectFuncType,
     apply_geo_func,
+    check_xarray_path_and_var_name,
     cpm_reproject_with_standard_calendar,
     crop_xarray,
     get_cpm_for_coord_alignment,
     hads_resample_and_reproject,
+    region_crop_file_name,
 )
 
 logger = getLogger(__name__)
@@ -115,7 +117,8 @@ class ResamblerBase:
     # grid: PathLike | T_Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
     input_files: Iterable[PathLike] | None = None
     cpus: int | None = None
-    crop_regions: tuple[RegionOptions | str, ...] | None = RegionOptions.all()
+    # crop_regions: tuple[RegionOptions | str, ...] | None = RegionOptions.all()
+    crop_region: RegionOptions | str | None = RegionOptions.GLASGOW
     crop_path: PathLike = RESAMPLING_OUTPUT_PATH
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG
     # grid_x_column_name: str = HADS_XDIM
@@ -139,7 +142,9 @@ def __post_init__(self) -> None:
         # self.set_grid_x_y()
         self.set_input_files()
         Path(self.output_path).mkdir(parents=True, exist_ok=True)
-        if self.crop_regions:
+        # if self.crop_regions:
+        #     Path(self.crop_path).mkdir(parents=True, exist_ok=True)
+        if self.crop_region:
             Path(self.crop_path).mkdir(parents=True, exist_ok=True)
         self.total_cpus: int | None = cpu_count()
         if not self.cpus:
@@ -326,7 +331,8 @@ def _sync_reprojected_paths(
 
     def range_crop_projection(
         self,
-        regions: Iterable[str] | None = None,
+        # regions: Iterable[str] | None = None,
+        # regions: Iterable[str] | None = None,
         start: int | None = None,
         stop: int | None = None,
         step: int = 1,
@@ -334,33 +340,34 @@ def range_crop_projection(
         return_results: bool = False,
         **kwargs,
     ) -> list[Path]:
-        regions = regions or self.crop_regions
+        # regions = regions or self.crop_regions
         start = start or self.start_index
         stop = stop or self.stop_index
         export_paths: list[Path | T_Dataset] = []
         if stop is None:
             stop = len(self)
-        try:
-            assert regions
-        except:
-            raise ValueError(f"Iterable 'regions' must be set.")
-        for region in regions:
-            console.print(f"Cropping to '{region}' from {self}...")
-            for index in trange(start, stop, step):
-                export_paths.append(
-                    self.crop_projection(
-                        region=region,
-                        index=index,
-                        override_export_path=override_export_path,
-                        return_results=return_results,
-                        **kwargs,
-                    )
+        # try:
+        #     assert regions
+        # except:
+        #     raise ValueError(f"Iterable 'regions' must be set.")
+        # for region in regions:
+        # console.print(f"Cropping to '{region}' from {self}...")
+        console.print(f"Cropping to '{self.crop_path}'")
+        for index in trange(start, stop, step):
+            export_paths.append(
+                self.crop_projection(
+                    # region=region,
+                    index=index,
+                    override_export_path=override_export_path,
+                    return_results=return_results,
+                    **kwargs,
                 )
+            )
         return export_paths
 
     def crop_projection(
         self,
-        region: str,
+        # region: str,
         index: int = 0,
         override_export_path: Path | None = None,
         return_results: bool = False,
@@ -379,26 +386,41 @@ def crop_projection(
                     "Run after 'self.to_reprojection()' or set as a "
                     "list directly."
                 )
+        # try:
+        #     assert region and region in self.crop_regions
+        # except AttributeError:
+        #     raise IndexError(f"'{region}' not in 'crop_regions': '{self.crop_regions}'")
+        # try:
+        #     assert self.crop_region         except AttributeError:
+        #     raise IndexError(f"'{region}' not in 'crop_regions': '{self.crop_regions}'")
         try:
-            assert region and region in self.crop_regions
+            assert self.crop_region in RegionOptions
         except AttributeError:
-            raise IndexError(f"'{region}' not in 'crop_regions': '{self.crop_regions}'")
-        path: PathLike = override_export_path or Path(self.crop_path) / (region)
+            raise ValueError(
+                f"'{self.crop_path}' not in 'RegionOptions': {RegionOptions.all()}"
+            )
+        path: PathLike = override_export_path or Path(self.crop_path)  # / (region)
         path.mkdir(exist_ok=True, parents=True)
         resampled_xr: Dataset = self._reprojected_paths[index]
+
         cropped: Dataset = crop_xarray(
             xr_time_series=resampled_xr,
-            crop_box=RegionOptions.bounding_box(region),
+            crop_box=RegionOptions.bounding_box(self.crop_region),
             **kwargs,
         )
-        cropped_file_name: str = "crop_" + region + "-" + resampled_xr.name
+        # cropped_file_name: str = "crop_" + str(self.crop_region) + "-" + resampled_xr.name
+        cropped_file_name: str = region_crop_file_name(
+            self.crop_region, resampled_xr.name
+        )
         export_path: Path = path / cropped_file_name
         cropped.to_netcdf(export_path)
         if not hasattr(self, "_cropped_paths"):
-            self._cropped_paths: dict[str, list[PathLike]] = {}
-        if region not in self._cropped_paths:
-            self._cropped_paths[region] = []
-        self._cropped_paths[region].append(export_path)
+            self._cropped_paths: list[PathLike] = []
+        #     self._cropped_paths: dict[str, list[PathLike]] = {}
+        # if region not in self._cropped_paths:
+        #     self._cropped_paths[region] = []
+        # self._cropped_paths[region].append(export_path)
+        self._cropped_paths.append(export_path)
         if return_results:
             return cropped
         else:
@@ -442,6 +464,8 @@ class HADsResampler(ResamblerBase):
         If `None`, this will simply iterate over all available files.
     cpm_for_coord_alignment
         `CPM` `Path` or `Dataset` to match alignment with.
+    cpm_for_coord_alignment_path_converted
+        Whether a `Path` passed to `cpm_for_coord_alignment` should be processed.
 
     Notes
     -----
@@ -487,6 +511,7 @@ class HADsResampler(ResamblerBase):
     input_file_x_column_name: str = HADS_XDIM
     input_file_y_column_name: str = HADS_YDIM
     cpm_for_coord_alignment: T_Dataset | PathLike = RAW_CPM_TASMAX_PATH
+    cpm_for_coord_alignment_path_converted: bool = False
     _resample_func: ReprojectFuncType = hads_resample_and_reproject
     # _use_reference_grid: bool = True
 
@@ -498,9 +523,26 @@ def __post_init__(self) -> None:
 
     def set_cpm_for_coord_alignment(self) -> None:
         """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
-        self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
-            self.cpm_for_coord_alignment
-        )
+        if self.cpm_for_coord_alignment_path_converted:
+            if isinstance(self.cpm_for_coord_alignment, Dataset):
+                logger.info("Using 'self.cpm_for_coord_alignment'...")
+            elif isinstance(self.cpm_for_coord_alignment, PathLike):
+                logger.info(
+                    f"Loading 'self.cpm_for_coord_alignment' from "
+                    f"'{self.cpm_for_coord_alignment}'..."
+                )
+                self.cpm_for_coord_alignment, _ = check_xarray_path_and_var_name(
+                    self.cpm_for_coord_alignment, None
+                )
+            else:
+                raise ValueError(
+                    f"Type of 'cpm_for_coord_alingment' not valid for {self}"
+                )
+        else:
+            self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
+                self.cpm_for_coord_alignment
+            )
+
         # if isinstance(self.cpm_for_coord_alignment, PathLike):
         #     if Path(self.cpm_for_coord_alignment).is_dir():
         #         self.cpm_for_coord_alignment = next(
@@ -786,13 +828,13 @@ def _gen_crop_folder_paths(
             for region in self.crop_regions:
                 crop_path = Path(path) / var / region
                 if append_cropped_path_dict:
-                    self._cropped_path_dict[crop_path] = var
+                    self._cropped_path_dict[crop_path] = region
                 yield crop_path
 
     def check_paths(
         self, run_set_data_paths: bool = True, run_set_crop_paths: bool = True
     ):
-        """Check if all `self.input_paths` exist."""
+        """Check and set `input`, `resample` and `crop` paths."""
 
         if run_set_data_paths:
             # self.set_input_paths()
@@ -823,8 +865,8 @@ def check_paths(
                     raise FileExistsError(message)
             try:
                 assert path in self._input_path_dict
-            except:
-                NotImplemented(
+            except AssertionError:
+                NotImplementedError(
                     f"Syncing `self._input_path_dict` with changes to `self.input_paths`."
                 )
 
@@ -893,6 +935,7 @@ def yield_crop_configs(self) -> Iterable[HADsResampler]:
         assert isinstance(self.resample_paths, Iterable)
         assert isinstance(self.crop_paths, Iterable)
         for index, input_resample_paths in enumerate(self._resampled_path_dict.items()):
+            # for crop_path, region in self._cropped_path_dict.items():
             for crop_path, region in self._cropped_path_dict.items():
                 yield self.resampler_class(
                     input_path=input_resample_paths[0],
@@ -903,7 +946,8 @@ def yield_crop_configs(self) -> Iterable[HADsResampler]:
                     crop_path=crop_path,
                     # Todo: remove below if single crop configs iterate over all
                     # crop_regions=self.crop_regions,
-                    crop_regions=(region,),
+                    # crop_regions=(region,),
+                    crop_region=region,
                     **self.config_default_kwargs,
                 )
 
@@ -1034,6 +1078,8 @@ class HADsResamplerManager(ResamblerManagerBase):
         Number of `cpu` cores to use during multiprocessing.
     cpm_for_coord_alignment
         `CPM` `Path` or `Dataset` to match alignment with.
+    cpm_for_coord_alignment_path_converted
+        Whether a `Path` passed to `cpm_for_coord_alignment` should be processed.
 
     Examples
     --------
@@ -1067,6 +1113,7 @@ class HADsResamplerManager(ResamblerManagerBase):
     config_default_kwargs: dict[str, Any] = field(default_factory=dict)
     resampler_class: type[HADsResampler] = HADsResampler
     cpm_for_coord_alignment: T_Dataset | PathLike = RAW_CPM_TASMAX_PATH
+    cpm_for_coord_alignment_path_converted: bool = False
     # cpus: int | None = None
     # _input_path_dict: dict[Path, str] = field(default_factory=dict)
     # _resampled_path_dict: dict[PathLike, VariableOptions | str] = field(
@@ -1131,9 +1178,10 @@ def __post_init__(self) -> None:
 
     def set_cpm_for_coord_alignment(self) -> None:
         """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
-        self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
-            self.cpm_for_coord_alignment
-        )
+        if not self.cpm_for_coord_alignment_path_converted:
+            self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
+                self.cpm_for_coord_alignment
+            )
 
     def yield_configs(self) -> Iterable[HADsResampler]:
         """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
@@ -1148,6 +1196,7 @@ def yield_configs(self) -> Iterable[HADsResampler]:
                 start_index=self.start_index,
                 stop_index=self.stop_index,
                 cpm_for_coord_alignment=self.cpm_for_coord_alignment,
+                cpm_for_coord_alignment_path_converted=self.cpm_for_coord_alignment_path_converted,
                 **self.config_default_kwargs,
             )
 
@@ -1587,5 +1636,5 @@ def _gen_crop_folder_paths(
                     else:
                         crop_path: Path = Path(path) / var / region / run_type
                     if append_cropped_path_dict:
-                        self._cropped_path_dict[crop_path] = var
+                        self._cropped_path_dict[crop_path] = region
                     yield crop_path
diff --git a/python/clim_recal/utils/server.py b/python/clim_recal/utils/server.py
index 6b1b502e..4220e323 100644
--- a/python/clim_recal/utils/server.py
+++ b/python/clim_recal/utils/server.py
@@ -495,9 +495,9 @@ def make_user(
     >>> user_name: str = 'an_unlinkely_test_user'
     >>> password: str = 'test_pass'
     >>> code_path: Path = JUPYTER_DOCKER_USER_PATH
-    >>> make_user(user_name, password, code_path=code_path)  # +SKIP
+    >>> make_user(user_name, password, code_path=code_path)
     PosixPath('/home/an_unlinkely_test_user')
-    >>> Path(f'/home/{user_name}/python/conftest.py').is_file()  # +SKIP
+    >>> Path(f'/home/{user_name}/python/conftest.py').is_file()
     True
     >>> rm_user(user_name)
     'an_unlinkely_test_user'
@@ -593,10 +593,10 @@ def make_users(
     ...     file_reader=excel_row_iter,
     ...     code_path=JUPYTER_DOCKER_USER_PATH,
     ... ))
-    >>> [(path / 'python' / 'conftest.py').is_file()  # +SKIP
+    >>> [(path / 'python' / 'conftest.py').is_file()
     ...  for path in user_paths]
     [True, True, True, True, True]
-    >>> [rm_user(user_path.name) for user_path in user_paths]  # +SKIP
+    >>> [rm_user(user_path.name) for user_path in user_paths]
     ['sally', 'george', 'jean', 'felicity', 'frank']
     """
     for record in file_reader(file_path):
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 11afd4b0..b79eb1c7 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -41,7 +41,7 @@
     climate_data_mount_path,
     results_path,
 )
-from .data import (  # DEFAULT_RELATIVE_GRID_DATA_PATH,
+from .data import (
     BRITISH_NATIONAL_GRID_EPSG,
     CPM_RAW_X_COLUMN_NAME,
     CPM_RAW_Y_COLUMN_NAME,
@@ -56,6 +56,7 @@
     BoundingBoxCoords,
     CFCalendarSTANDARD,
     ConvertCalendarAlignOptions,
+    RegionOptions,
     VariableOptions,
     XArrayEngineType,
 )
@@ -1333,3 +1334,55 @@ def get_cpm_for_coord_alignment(
             f"Currently a {type(cpm_for_coord_alignment)}."
         )
     return cpm_for_coord_alignment
+
+
+def region_crop_file_name(
+    crop_region: str | RegionOptions | None, file_name: PathLike
+) -> str:
+    """Generate a file name for a regional crop.
+
+    Parameters
+    ----------
+    crop_region
+        Region name to include in cropped file name.
+    file_name
+        File name to add `crop_region` name to.
+
+    Examples
+    --------
+    >>> region_crop_file_name(
+    ...    'Glasgow',
+    ...    'tasmax.nc')
+    'crop_Glasgow_tasmax.nc'
+    >>> region_crop_file_name(
+    ...    'Glasgow',
+    ...    'tasmax_hadukgrid_uk_2_2km_day_19800601-19800630.nc')
+    'crop_Glasgow_tasmax_hads_19800601-19800630.nc'
+    >>> region_crop_file_name(
+    ...     'Glasgow',
+    ...     'tasmax_rcp85_land-cpm_uk_2.2km_05_day_std_year_19861201-19871130.nc')
+    'crop_Glasgow_tasmax_cpm_05_19861201-19871130.nc'
+    """
+    file_name_sections = Path(file_name).name.split("_")
+    final_suffix: str
+    crop_region = crop_region or ""
+    if "_rcp85_land-cpm_uk_2" in str(file_name):
+        final_suffix = "_".join(
+            (
+                file_name_sections[0],
+                "cpm",
+                file_name_sections[5],
+                file_name_sections[-1],
+            )
+        )
+    elif "_hadukgrid_uk_2_2km_day" in str(file_name):
+        final_suffix = "_".join(
+            (
+                file_name_sections[0],
+                "hads",
+                file_name_sections[-1],
+            )
+        )
+    else:
+        final_suffix = str(file_name)
+    return "_".join(("crop", str(crop_region), final_suffix))
diff --git a/python/conftest.py b/python/conftest.py
index aed35818..65f6828e 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -24,7 +24,10 @@
 )
 from clim_recal.utils.data import BoundsTupleType
 from clim_recal.utils.server import CondaLockFileManager
-from clim_recal.utils.xarray import GLASGOW_GEOM_LOCAL_PATH
+from clim_recal.utils.xarray import (
+    GLASGOW_GEOM_LOCAL_PATH,
+    cpm_reproject_with_standard_calendar,
+)
 from tests.utils import (
     CLI_CMETHODS_DEFAULT_COMMAND_STR_CORRECT,
     CLI_CMETHODS_DEFAULT_COMMAND_TUPLE_CORRECT,
@@ -32,6 +35,7 @@
     CLI_PREPROCESS_DEFAULT_COMMAND_STR_CORRECT,
     CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_CORRECT,
     CLI_PREPROCESS_DEFAULT_COMMAND_TUPLE_STR_CORRECT,
+    CPM_CONVERTED_TASMAX_1980_FILE,
     CPM_RAW_TASMAX_1980_FILE,
     CPM_RAW_TASMAX_EXAMPLE_PATH,
     HADS_RAW_TASMAX_1980_FILE,
@@ -127,18 +131,19 @@ def local_cache_fixtures(
             LocalCache(
                 name="tasmax_cpm_1980_raw",
                 source_path=CPM_RAW_TASMAX_EXAMPLE_PATH,
+                # local_cache_path=local_cpm_cache_path / 'tasmax/01/latest' / CPM_RAW_TASMAX_1980_FILE,
                 local_cache_path=local_cpm_cache_path / CPM_RAW_TASMAX_1980_FILE,
                 reader=open_dataset,
                 reader_kwargs={"decode_coords": "all"},
             ),
-            # LocalCache(
-            #     name="tasmax_cpm_1980_converted",
-            #     source_path=CPM_RAW_TASMAX_EXAMPLE_PATH,
-            #     local_cache_path=local_cpm_cache_path,
-            #     reader=open_dataset,
-            #     reader_kwargs={"decode_coords": "all"},
-            #     parser=cpm_reproject_with_standard_calendar,
-            # ),
+            LocalCache(
+                name="tasmax_cpm_1980_converted",
+                source_path=CPM_RAW_TASMAX_EXAMPLE_PATH,
+                local_cache_path=local_cpm_cache_path / CPM_CONVERTED_TASMAX_1980_FILE,
+                reader=open_dataset,
+                reader_kwargs={"decode_coords": "all"},
+                parser=cpm_reproject_with_standard_calendar,
+            ),
             LocalCache(
                 name="tasmax_hads_1980_raw",
                 source_path=HADS_RAW_TASMAX_EXAMPLE_PATH,
@@ -220,18 +225,18 @@ def tasmax_hads_1980_raw_path(
         return local_cache_fixtures["tasmax_hads_1980_raw"].source_path
 
 
-@pytest.fixture(scope="session")
-def tasmax_cpm_1980_converted(
-    local_cache: bool,
-    local_cpm_cache_path: Path,
-    local_cache_fixtures: LocalCachesManager,
-) -> T_Dataset | None:
-    if local_cache:
-        return local_cache_fixtures["tasmax_cpm_1980_converted"].read(
-            cache_path=local_cpm_cache_path
-        )
-    else:
-        return None
+# @pytest.fixture(scope="session")
+# def tasmax_cpm_1980_converted(
+#     local_cache: bool,
+#     local_cpm_cache_path: Path,
+#     local_cache_fixtures: LocalCachesManager,
+# ) -> T_Dataset | None:
+#     if local_cache:
+#         return local_cache_fixtures["tasmax_cpm_1980_converted"].read(
+#             cache_path=local_cpm_cache_path
+#         )
+#     else:
+#         return None
 
 
 @pytest.fixture(scope="session")
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 1d04bdeb..621acb92 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -1,6 +1,6 @@
 from datetime import date
 from pathlib import Path
-from typing import Final
+from typing import Any, Final
 
 import numpy as np
 import pytest
@@ -10,7 +10,7 @@
 from xarray import open_dataset
 from xarray.core.types import T_DataArray, T_Dataset
 
-from clim_recal.resample import (  # DEFAULT_RELATIVE_GRID_DATA_PATH,
+from clim_recal.resample import (
     BRITISH_NATIONAL_GRID_EPSG,
     CPM_CROP_OUTPUT_LOCAL_PATH,
     HADS_CROP_OUTPUT_LOCAL_PATH,
@@ -18,6 +18,7 @@
     CPMResamplerManager,
     HADsResampler,
     HADsResamplerManager,
+    ResamblerManagerBase,
 )
 from clim_recal.utils.core import (
     CLI_DATE_FORMAT_STR,
@@ -26,7 +27,12 @@
     date_range_generator,
     results_path,
 )
-from clim_recal.utils.data import HadUKGrid, UKCPLocalProjections
+from clim_recal.utils.data import (
+    HadUKGrid,
+    RegionOptions,
+    RunOptions,
+    UKCPLocalProjections,
+)
 from clim_recal.utils.gdal_formats import NETCDF_EXTENSION_STR
 from clim_recal.utils.xarray import (  # interpolate_coords,
     FINAL_RESAMPLE_LAT_COL,
@@ -835,3 +841,71 @@ def test_execute_resample_configs(
         HADS_FIRST_DATES.astype(object)
         == export.time.dt.strftime(CLI_DATE_FORMAT_STR).head().values
     ).all()
+
+
+@pytest.mark.localcache
+@pytest.mark.slow
+@pytest.mark.mount
+@pytest.mark.parametrize("manager", (CPMResamplerManager, HADsResamplerManager))
+# @pytest.mark.parametrize("multiprocess", (False, True))
+# @pytest.mark.parametrize("multiprocess", (False, False))
+def test_execute_crop_configs(
+    manager: ResamblerManagerBase,
+    # multiprocess: bool,
+    tmp_path: Path,
+    resample_test_hads_output_path: Path,
+    resample_test_cpm_output_path: Path,
+    tasmax_hads_1980_raw_path: Path,
+    tasmax_cpm_1980_raw_path: Path,
+    tasmax_cpm_1980_converted_path: Path,
+) -> None:
+    """Test running default HADs spatial projection."""
+    multiprocess: bool = False
+    input_path: Path
+    crop_path: Path
+    manager_kwargs: dict[str, Any] = {}
+    if isinstance(manager, type(HADsResamplerManager)):
+        input_path = tasmax_hads_1980_raw_path.parent
+        crop_path = (
+            resample_test_hads_output_path / "manage" / HADS_CROP_OUTPUT_LOCAL_PATH
+        )
+        manager_kwargs["cpm_for_coord_alignment"] = tasmax_cpm_1980_converted_path
+        manager_kwargs["cpm_for_coord_alignment_path_converted"] = True
+    else:
+        input_path = tasmax_cpm_1980_raw_path.parent
+        crop_path = (
+            resample_test_cpm_output_path / "manage" / CPM_CROP_OUTPUT_LOCAL_PATH
+        )
+        manager_kwargs["runs"] = (RunOptions.ONE,)
+    test_config: ResamblerManagerBase = manager(
+        input_paths=input_path,
+        resample_paths=tmp_path,
+        crop_paths=crop_path,
+        stop_index=1,
+        _strict_fail_if_var_in_input_path=False,
+        **manager_kwargs,
+    )
+    if isinstance(test_config, HADsResamplerManager):
+        test_config.set_cpm_for_coord_alignment = tasmax_cpm_1980_converted_path
+
+    _: tuple[HADsResampler | CPMResampler, ...] = test_config.execute_resample_configs(
+        multiprocess=multiprocess
+    )
+    region_crops: tuple[HADsResampler | CPMResampler, ...] = (
+        test_config.execute_crop_configs(multiprocess=multiprocess)
+    )
+    region_crop_dict: dict[str, tuple[Path, ...]] = {
+        crop.crop_region: tuple(Path(crop.crop_path).iterdir()) for crop in region_crops
+    }
+    assert len(region_crop_dict) == len(region_crops) == len(RegionOptions)
+    for region, path in region_crop_dict.items():
+        cropped_region: T_Dataset = open_dataset(path[0])
+        bbox = RegionOptions.bounding_box(region)
+        assert_allclose(cropped_region["x"].max(), bbox.xmax, rtol=0.1)
+        assert_allclose(cropped_region["x"].min(), bbox.xmin, rtol=0.1)
+        assert_allclose(cropped_region["y"].max(), bbox.ymax, rtol=0.1)
+        assert_allclose(cropped_region["y"].min(), bbox.ymin, rtol=0.1)
+        if isinstance(test_config, HADsResamplerManager):
+            assert len(cropped_region["time"]) == 31
+        else:
+            assert len(cropped_region["time"]) == 365

From 76a14ce530c8a063f9c0c24dcc6ef7434f624de2 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 8 Sep 2024 18:43:23 +0100
Subject: [PATCH 83/92] fix: add `cpm_check_converted` to help fix
 `get_cpm_for_coord_alignment`

---
 python/clim_recal/config.py       |   20 +-
 python/clim_recal/resample.py     |  413 ++---------
 python/clim_recal/utils/xarray.py |   86 ++-
 python/conftest.py                |   24 +-
 python/tests/test_resample.py     | 1086 ++++++++++++++---------------
 python/tests/test_utils_xarray.py |  659 +++++++++++++++++
 python/tests/utils.py             |   21 +-
 7 files changed, 1358 insertions(+), 951 deletions(-)
 create mode 100644 python/tests/test_utils_xarray.py

diff --git a/python/clim_recal/config.py b/python/clim_recal/config.py
index 1c655320..6c89629d 100644
--- a/python/clim_recal/config.py
+++ b/python/clim_recal/config.py
@@ -19,12 +19,9 @@
 )
 from .utils.core import product_dict, results_path
 from .utils.data import MethodOptions, RegionOptions, RunOptions, VariableOptions
-from .utils.xarray import get_cpm_for_coord_alignment
 
 warnings.filterwarnings("ignore", category=TqdmExperimentalWarning)
 
-# DATA_PATH_DEFAULT: Final[Path] = climate_data_mount_path()
-
 
 DEFAULT_OUTPUT_PATH: Final[Path] = Path("clim-recal-runs")
 DEFAULT_RESAMPLE_FOLDER: Final[Path] = Path("resample")
@@ -119,6 +116,7 @@ class ClimRecalConfig(BaseRunConfig):
     local_dated_crops_path_prefix: str = "crop"
     cpm_for_coord_alignment: PathLike | None = None
     process_cmp_for_coord_alignment: bool = False
+    cpm_for_coord_alignment_path_converted: bool = False
     debug_mode: bool = False
 
     @property
@@ -234,8 +232,8 @@ def __post_init__(self) -> None:
             stop_index=self.stop_index,
             **self.cpm_kwargs,
         )
-        if self.process_cmp_for_coord_alignment:
-            self.set_cpm_for_coord_alignment()
+        # if self.process_cmp_for_coord_alignment:
+        #     self.set_cpm_for_coord_alignment()
         self.hads_manager = HADsResamplerManager(
             input_paths=self.hads_input_path,
             variables=self.variables,
@@ -244,17 +242,19 @@ def __post_init__(self) -> None:
             start_index=self.start_index,
             stop_index=self.stop_index,
             cpm_for_coord_alignment=self.cpm_for_coord_alignment,
+            cpm_for_coord_alignment_path_converted=self.cpm_for_coord_alignment_path_converted,
             **self.hads_kwargs,
         )
         self.total_cpus: int | None = cpu_count()
         if self.cpus == None or (self.total_cpus and self.cpus >= self.total_cpus):
             self.cpus = 1 if not self.total_cpus else self.total_cpus - 1
 
-    def set_cpm_for_coord_alignment(self) -> None:
-        """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
-        self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
-            self.cpm_for_coord_alignment
-        )
+    # def set_cpm_for_coord_alignment(self) -> None:
+    #     """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
+    #     self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
+    #         self.cpm_for_coord_alignment,
+    #         skip_reproject=self.cpm_for_coord_alignment_path_converted,
+    #     )
 
     def __repr__(self) -> str:
         """Summary of `self` configuration as a `str`."""
diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index 42868dba..1323d025 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -46,7 +46,6 @@
     NETCDF_EXTENSION_STR,
     ReprojectFuncType,
     apply_geo_func,
-    check_xarray_path_and_var_name,
     cpm_reproject_with_standard_calendar,
     crop_xarray,
     get_cpm_for_coord_alignment,
@@ -510,38 +509,42 @@ class HADsResampler(ResamblerBase):
     # resolution_relative_path: Path = HADS_2_2K_RESOLUTION_PATH
     input_file_x_column_name: str = HADS_XDIM
     input_file_y_column_name: str = HADS_YDIM
-    cpm_for_coord_alignment: T_Dataset | PathLike = RAW_CPM_TASMAX_PATH
+    cpm_for_coord_alignment: T_Dataset | PathLike | None = RAW_CPM_TASMAX_PATH
     cpm_for_coord_alignment_path_converted: bool = False
     _resample_func: ReprojectFuncType = hads_resample_and_reproject
     # _use_reference_grid: bool = True
 
-    def __post_init__(self) -> None:
-        """Ensure `self.cpm_for_coord_alignment` is set."""
-        super().__post_init__()
-        self.set_cpm_for_coord_alignment()
-        # cpm_match_variable_name: str = self.cpm_for_coord_alignment
+    # def __post_init__(self) -> None:
+    #     """Ensure `self.cpm_for_coord_alignment` is set."""
+    #     super().__post_init__()
+    #     # self.set_cpm_for_coord_alignment()
+    #     # cpm_match_variable_name: str = self.cpm_for_coord_alignment
 
     def set_cpm_for_coord_alignment(self) -> None:
         """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
-        if self.cpm_for_coord_alignment_path_converted:
-            if isinstance(self.cpm_for_coord_alignment, Dataset):
-                logger.info("Using 'self.cpm_for_coord_alignment'...")
-            elif isinstance(self.cpm_for_coord_alignment, PathLike):
-                logger.info(
-                    f"Loading 'self.cpm_for_coord_alignment' from "
-                    f"'{self.cpm_for_coord_alignment}'..."
-                )
-                self.cpm_for_coord_alignment, _ = check_xarray_path_and_var_name(
-                    self.cpm_for_coord_alignment, None
-                )
-            else:
-                raise ValueError(
-                    f"Type of 'cpm_for_coord_alingment' not valid for {self}"
-                )
-        else:
-            self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
-                self.cpm_for_coord_alignment
-            )
+        self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
+            self.cpm_for_coord_alignment,
+            skip_reproject=self.cpm_for_coord_alignment_path_converted,
+        )
+        # if self.cpm_for_coord_alignment_path_converted:
+        #     if isinstance(self.cpm_for_coord_alignment, Dataset):
+        #         logger.info("Using 'self.cpm_for_coord_alignment'...")
+        #     elif isinstance(self.cpm_for_coord_alignment, PathLike):
+        #         logger.info(
+        #             f"Loading 'self.cpm_for_coord_alignment' from "
+        #             f"'{self.cpm_for_coord_alignment}'..."
+        #         )
+        #         self.cpm_for_coord_alignment, _ = check_xarray_path_and_var_name(
+        #             self.cpm_for_coord_alignment, None
+        #         )
+        #     else:
+        #         raise ValueError(
+        #             f"Type of 'cpm_for_coord_alingment' not valid for {self}"
+        #         )
+        # else:
+        #     self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
+        #         self.cpm_for_coord_alignment
+        #     )
 
         # if isinstance(self.cpm_for_coord_alignment, PathLike):
         #     if Path(self.cpm_for_coord_alignment).is_dir():
@@ -572,6 +575,7 @@ def to_reprojection(
             index=index, source_to_index=source_to_index
         )
         path: PathLike = self.output_path
+        self.set_cpm_for_coord_alignment()
         # path: PathLike = self._output_path(
         #     self.resolution_relative_path, override_export_path
         # )
@@ -1114,55 +1118,7 @@ class HADsResamplerManager(ResamblerManagerBase):
     resampler_class: type[HADsResampler] = HADsResampler
     cpm_for_coord_alignment: T_Dataset | PathLike = RAW_CPM_TASMAX_PATH
     cpm_for_coord_alignment_path_converted: bool = False
-    # cpus: int | None = None
-    # _input_path_dict: dict[Path, str] = field(default_factory=dict)
-    # _resampled_path_dict: dict[PathLike, VariableOptions | str] = field(
-    #     default_factory=dict
-    # )
-    # _cropped_path_dict: dict[PathLike, VariableOptions | str] = field(
-    #     default_factory=dict
-    # )
-    # _strict_fail_if_var_in_input_path: bool = True
-    # _allow_check_fail: bool = False
-
-    # class VarirableInBaseImportPathError(Exception):
-    #     """Checking import path validity for `self.variables`."""
-    #     pass
-    #
-    # def __post_init__(self) -> None:
-    #     """Populate config attributes."""
-    #     if not self.crop_regions:
-    #         self.crop_regions = ()
-    #     self.check_paths()
-    #     self.total_cpus: int | None = cpu_count()
-    #     if not self.cpus:
-    #         self.cpus = 1 if not self.total_cpus else self.total_cpus
-    #     self.cpm_for_coord_alignment: T_Dataset | PathLike = RAW_CPM_TASMAX_PATH
-    #
-    # @property
-    # def input_folder(self) -> Path | None:
-    #     """Return `self._input_path` set by `set_input_paths()`."""
-    #     if hasattr(self, "_input_path"):
-    #         return Path(self._input_path)
-    #     else:
-    #         return None
-    #
-    # @property
-    # def resample_folder(self) -> Path | None:
-    #     """Return `self._output_path` set by `set_resample_paths()`."""
-    #     if hasattr(self, "_input_path"):
-    #         return Path(self._input_path)
-    #     else:
-    #         return None
-    #
-    # @property
-    # def crop_folder(self) -> Path | None:
-    #     """Return `self._output_path` set by `set_resample_paths()`."""
-    #     if hasattr(self, "_crop_path"):
-    #         return Path(self._crop_path)
-    #     else:
-    #         return None
-    #
+
     def __repr__(self) -> str:
         """Summary of `self` configuration as a `str`."""
         return (
@@ -1171,17 +1127,21 @@ def __repr__(self) -> str:
             f"input_paths_count={len(self.input_paths) if isinstance(self.input_paths, Sequence) else 1})>"
         )
 
-    def __post_init__(self) -> None:
-        """Ensure `self.cpm_for_coord_alignment` is set."""
-        super().__post_init__()
-        # self.set_cpm_for_coord_alignment()
+    # def __post_init__(self) -> None:
+    #     """Ensure `self.cpm_for_coord_alignment` is set."""
+    #     super().__post_init__()
+    #     # self.set_cpm_for_coord_alignment()
 
     def set_cpm_for_coord_alignment(self) -> None:
         """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
-        if not self.cpm_for_coord_alignment_path_converted:
-            self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
-                self.cpm_for_coord_alignment
-            )
+        self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
+            self.cpm_for_coord_alignment,
+            skip_reproject=self.cpm_for_coord_alignment_path_converted,
+        )
+        # if not self.cpm_for_coord_alignment_path_converted:
+        #     self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
+        #         self.cpm_for_coord_alignment
+        #     )
 
     def yield_configs(self) -> Iterable[HADsResampler]:
         """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
@@ -1200,266 +1160,6 @@ def yield_configs(self) -> Iterable[HADsResampler]:
                 **self.config_default_kwargs,
             )
 
-    #
-    # # def _gen_input_folder_paths(
-    # #     self,
-    # #     path: PathLike,
-    # #     append_var_path_dict: bool = False,
-    # # ) -> Iterator[Path]:
-    # #     """Yield input paths of `self.variables` and `self.runs`."""
-    # #     var_path: Path
-    # #     for var in self.variables:
-    # #         var_path = Path(path) / var / self.sub_path
-    # #         if append_var_path_dict:
-    # #             self._path_dict[var_path] = var
-    # #         yield var_path
-    #
-    # def _gen_resample_folder_paths(
-    #     self,
-    #     path: PathLike,
-    #     append_input_path_dict: bool = False,
-    #     append_resampled_path_dict: bool = False,
-    # ) -> Iterator[tuple[Path, Path]]:
-    #     """Yield paths of resampled `self.variables` and `self.runs`."""
-    #     for var in self.variables:
-    #         input_path: Path = Path(path) / var / self.sub_path
-    #         resample_path: Path = Path(path) / var
-    #         if append_input_path_dict:
-    #             self._input_path_dict[input_path] = var
-    #         if append_resampled_path_dict:
-    #             self._resampled_path_dict[resample_path] = var
-    #         yield input_path, resample_path
-    #
-    # def _gen_crop_folder_paths(
-    #     self, path: PathLike, append_cropped_path_dict: bool = False
-    # ) -> Iterator[Path | None]:
-    #     """Return a Generator of paths of `self.variables` and `self.crops`."""
-    #     if not self.crop_regions:
-    #         return None
-    #     if not self._resampled_path_dict:
-    #         self._gen_resample_folder_paths(
-    #             self.input_paths,
-    #             append_input_path_dict=True,
-    #             append_resampled_path_dict=True,
-    #         )
-    #     for var in self.variables:
-    #         for region in self.crop_regions:
-    #             crop_path = Path(path) / var / region
-    #             if append_cropped_path_dict:
-    #                 self._cropped_path_dict[crop_path] = var
-    #             yield crop_path
-    #
-    # def check_paths(
-    #     self, run_set_data_paths: bool = True, run_set_crop_paths: bool = True
-    # ):
-    #     """Check if all `self.input_paths` exist."""
-    #
-    #     if run_set_data_paths:
-    #         # self.set_input_paths()
-    #         self.set_resample_paths()
-    #     if run_set_crop_paths:
-    #         self.set_crop_paths()
-    #     assert isinstance(self.input_paths, Iterable)
-    #     assert isinstance(self.resample_paths, Iterable)
-    #     if self.crop_paths:
-    #         try:
-    #             assert isinstance(self.crop_paths, Iterable)
-    #         except AssertionError:
-    #             raise ValueError(
-    #                 f"'crop_paths' not iterable for {self}. Hint: try setting 'run_set_crop_paths' to 'True'."
-    #             )
-    #     assert len(self.input_paths) == len(self.resample_paths)
-    #     for path in self.input_paths:
-    #         try:
-    #             assert Path(path).exists()
-    #             assert Path(path).is_dir()
-    #         except AssertionError:
-    #             message: str = (
-    #                 f"One of 'self.input_paths' in {self} not valid: '{path}'"
-    #             )
-    #             if self._allow_check_fail:
-    #                 logger.error(message)
-    #             else:
-    #                 raise FileExistsError(message)
-    #         try:
-    #             assert path in self._input_path_dict
-    #         except:
-    #             NotImplemented(
-    #                 f"Syncing `self._input_path_dict` with changes to `self.input_paths`."
-    #             )
-    #
-    # def _set_input_paths(self):
-    #     """Propagate `self.input_paths` if needed."""
-    #     if isinstance(self.input_paths, PathLike):
-    #         self._input_path = self.input_paths
-    #         self.input_paths = tuple(
-    #             input_path
-    #             for input_path, _ in self._gen_resample_folder_paths(
-    #                 self.input_paths, append_input_path_dict=True
-    #             )
-    #         )
-    #         if self._strict_fail_if_var_in_input_path:
-    #             for var in self.variables:
-    #                 try:
-    #                     assert var not in str(self._input_path)
-    #                 except AssertionError:
-    #                     raise self.VarirableInBaseImportPathError(
-    #                         f"Folder named '{var}' in self._input_path: "
-    #                         f"'{self._input_path}'. Try passing a parent path or "
-    #                         f"set '_strict_fail_if_var_in_input_path' to 'False'."
-    #                     )
-    #
-    # def set_resample_paths(self):
-    #     """Propagate `self.resample_paths` if needed."""
-    #     self._set_input_paths()
-    #     if isinstance(self.resample_paths, PathLike):
-    #         self._output_path = self.resample_paths
-    #         self.resample_paths = tuple(
-    #             resample_path
-    #             for _, resample_path in self._gen_resample_folder_paths(
-    #                 self.resample_paths, append_resampled_path_dict=True
-    #             )
-    #         )
-    #
-    # def set_crop_paths(self):
-    #     """Propagate `self.resample_paths` if needed."""
-    #     if isinstance(self.crop_paths, PathLike):
-    #         self._crop_path = self.crop_paths
-    #         self.crop_paths = tuple(
-    #             self._gen_crop_folder_paths(
-    #                 self.crop_paths, append_cropped_path_dict=True
-    #             )
-    #         )
-    #
-    # def set_cpm_for_coord_alignment(self) -> None:
-    #     """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
-    #     self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(self.cpm_for_coord_alignment)
-    #
-    # def yield_configs(self) -> Iterable[HADsResampler]:
-    #     """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
-    #     self.check_paths()
-    #     assert isinstance(self.resample_paths, Iterable)
-    #     # assert isinstance(self.crop_paths, Iterable)
-    #     for index, var_path in enumerate(self._input_path_dict.items()):
-    #         yield self.resampler_class(
-    #             input_path=var_path[0],
-    #             output_path=self.resample_paths[index],
-    #             variable_name=var_path[1],
-    #             start_index=self.start_index,
-    #             stop_index=self.stop_index,
-    #             **self.config_default_kwargs,
-    #         )
-    #
-    # def yield_crop_configs(self) -> Iterable[HADsResampler]:
-    #     """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
-    #     self.check_paths()
-    #     assert isinstance(self.input_paths, Iterable)
-    #     assert isinstance(self.resample_paths, Iterable)
-    #     assert isinstance(self.crop_paths, Iterable)
-    #     for index, input_resample_paths in enumerate(self._resampled_path_dict.items()):
-    #         for crop_path, region in self._cropped_path_dict.items():
-    #             yield self.resampler_class(
-    #                 input_path=input_resample_paths[0],
-    #                 output_path=self.resample_paths[index],
-    #                 variable_name=input_resample_paths[1],
-    #                 start_index=self.start_index,
-    #                 stop_index=self.stop_index,
-    #                 crop_path=crop_path,
-    #                 # Todo: remove below if single crop configs iterate over all
-    #                 # crop_regions=self.crop_regions,
-    #                 crop_regions=(region,),
-    #                 **self.config_default_kwargs,
-    #             )
-    #
-    # def __len__(self) -> int:
-    #     """Return the length of `self.input_files`."""
-    #     return (
-    #         len(self.input_paths[self.start_index : self.stop_index])
-    #         if isinstance(self.input_paths, Sequence)
-    #         else 0
-    #     )
-    #
-    # @property
-    # def max_count(self) -> int:
-    #     """Maximum length of `self.input_files` ignoring `start_index` and `start_index`."""
-    #     return len(self.input_paths) if isinstance(self.input_paths, Sequence) else 0
-    #
-    # def __iter__(self) -> Iterator[Path] | None:
-    #     if isinstance(self.input_paths, Sequence):
-    #         for file_path in self.input_paths[self.start_index : self.stop_index]:
-    #             yield Path(file_path)
-    #     else:
-    #         return None
-    #
-    # def __getitem__(self, key: int | slice) -> Path | tuple[Path, ...] | None:
-    #     if not self.input_paths or not isinstance(self.input_paths, Sequence):
-    #         return None
-    #     elif isinstance(key, int):
-    #         return Path(self.input_paths[key])
-    #     elif isinstance(key, slice):
-    #         return tuple(Path(path) for path in self.input_paths[key])
-    #     else:
-    #         raise IndexError(f"Can only index with 'int', not: '{key}'")
-    #
-    # def execute_resample_configs(
-    #     self, multiprocess: bool = False, cpus: int | None = None
-    # ) -> tuple[CPMResampler | HADsResampler, ...]:
-    #     """Run all resampler configurations
-    #
-    #     Parameters
-    #     ----------
-    #     multiprocess
-    #         If `True` run parameters in `resample_configs` with `multiprocess_execute`.
-    #     cpus
-    #         Number of `cpus` to pass to `multiprocess_execute`.
-    #     """
-    #     resamplers: tuple[CPMResampler | HADsResampler, ...] = tuple(
-    #         self.yield_configs()
-    #     )
-    #     results: list[list[Path] | None] = []
-    #     if multiprocess:
-    #         cpus = cpus or self.cpus
-    #         if self.total_cpus and cpus:
-    #             cpus = min(cpus, self.total_cpus - 1)
-    #         results = multiprocess_execute(resamplers, method_name="execute", cpus=cpus)
-    #     else:
-    #         for resampler in resamplers:
-    #             print(resampler)
-    #             results.append(resampler.execute())
-    #     return resamplers
-    #
-    # def execute_crop_configs(
-    #     self, multiprocess: bool = False, cpus: int | None = None
-    # ) -> tuple[CPMResampler | HADsResampler, ...]:
-    #     """Run all resampler configurations
-    #
-    #     Parameters
-    #     ----------
-    #     multiprocess
-    #         If `True` run parameters in `resample_configs` with `multiprocess_execute`.
-    #     cpus
-    #         Number of `cpus` to pass to `multiprocess_execute`.
-    #     """
-    #     croppers: tuple[CPMResampler | HADsResampler, ...] = tuple(
-    #         # self.yield_configs(
-    #         #     input_path=self.resample_paths, output_path=self.crop_path
-    #         # )
-    #         self.yield_crop_configs()
-    #     )
-    #     results: list[list[Path] | None] = []
-    #     if multiprocess:
-    #         cpus = cpus or self.cpus
-    #         if self.total_cpus and cpus:
-    #             cpus = min(cpus, self.total_cpus - 1)
-    #         results = multiprocess_execute(
-    #             croppers, method_name="execute_crops", cpus=cpus
-    #         )
-    #     else:
-    #         for cropper in croppers:
-    #             print(cropper)
-    #             results.append(cropper.execute_crops())
-    #     return croppers
-
 
 @dataclass(kw_only=True, repr=False)
 class CPMResamplerManager(ResamblerManagerBase):
@@ -1560,33 +1260,6 @@ def __repr__(self) -> str:
             f"input_paths_count={len(self.input_paths) if isinstance(self.input_paths, Sequence) else 1})>"
         )
 
-    # def __post_init__(self) -> None:
-    #     """Ensure `self.cpm_for_coord_alignment` is set."""
-    #     super().__post_init__()
-    #     self.set_cpm_for_coord_alignment()
-
-    # def _gen_input_folder_paths(
-    #     self, path: PathLike, append_var_path_dict: bool = False, cpm_paths: bool = True
-    # ) -> Iterator[Path]:
-    #     """Yield input paths of `self.variables` and `self.runs`."""
-    #     var_path: Path
-    #     for var in self.variables:
-    #         for run_type in self.runs:
-    #             if cpm_paths:
-    #                 var_path: Path = (
-    #                     Path(path)
-    #                     / VariableOptions.cpm_value(var)
-    #                     / run_type
-    #                     / self.sub_path
-    #                 )
-    #             else:
-    #                 var_path: Path = Path(path) / var / run_type / self.sub_path
-    #             if append_var_path_dict:
-    #                 self._var_path_dict[var_path] = var
-    #                 # Todo: remove below once testing confirms _var_path_dict works
-    #                 # self._var_path_dict[var].append(var_path)
-    #             yield var_path
-
     def _gen_resample_folder_paths(
         self,
         path: PathLike,
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index b79eb1c7..e0c56cd1 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -80,6 +80,9 @@
 CPM_REGEX: Final[str] = "[!.]*cpm*.nc"
 HADS_MIN_NULL: float = -1000000
 
+FINAL_CONVERTED_CPM_WIDTH: Final[int] = 493
+FINAL_CONVERTED_CPM_HEIGHT: Final[int] = 607
+
 # MONTH_DAY_DROP: DropDayType = {(1, 31), (4, 1), (6, 1), (8, 1), (10, 1), (12, 1)}
 # """A `set` of tuples of month and day numbers for `enforce_date_changes`."""
 
@@ -195,10 +198,43 @@ def check_xarray_path_and_var_name(
     return xr_time_series, variable_name
 
 
+def cpm_check_converted(cpm_xr_time_series: T_Dataset | PathLike) -> bool:
+    """Check if `cpm_xr_time_series` is likely already reprojected.
+
+    Parameters
+    ----------
+    cpm_xr_time_series
+        `Dataset` instance or `Path` to check.
+
+    Returns
+    -------
+    `True` if all of the methics are `True`, else `False`
+    """
+    cpm_xr_time_series, variable = check_xarray_path_and_var_name(
+        xr_time_series=cpm_xr_time_series, variable_name=None
+    )
+    checks_dict: dict[str, bool] = {}
+    if "time" in cpm_xr_time_series.dims:
+        checks_dict["time-365-or-366"] = cpm_xr_time_series.dims["time"] in (365, 366)
+    if "x" in cpm_xr_time_series.dims:
+        checks_dict["x-final-coords"] = (
+            cpm_xr_time_series.dims["x"] == FINAL_CONVERTED_CPM_WIDTH
+        )
+    if "y" in cpm_xr_time_series.dims:
+        checks_dict["y-final-coords"] = (
+            cpm_xr_time_series.dims["y"] == FINAL_CONVERTED_CPM_HEIGHT
+        )
+    if all(checks_dict.values()):
+        return True
+    else:
+        return False
+
+
 def cpm_reproject_with_standard_calendar(
     cpm_xr_time_series: T_Dataset | PathLike,
     variable_name: str | None = None,
     close_temp_paths: bool = True,
+    force: bool = False,
 ) -> T_Dataset:
     """Convert raw `cpm_xr_time_series` to an 365/366 days and 27700 coords.
 
@@ -245,6 +281,16 @@ def cpm_reproject_with_standard_calendar(
     >>> tasmax_cpm_1980_365_day.dims
     Frozen...({'time': 365, 'x': 493, 'y': 607})
     """
+    if not force:
+        logger.info("Checking if already converted...")
+        if cpm_check_converted(cpm_xr_time_series):
+            logger.info("Similar to already converted. Returning unmodified")
+            xr_dataset, _ = check_xarray_path_and_var_name(
+                cpm_xr_time_series, variable_name=variable_name
+            )
+            return xr_dataset
+    else:
+        logger.info("Force skip checking if already converted...")
     temp_cpm: _TemporaryFileWrapper = NamedTemporaryFile(
         suffix="." + NETCDF_EXTENSION_STR
     )
@@ -1299,7 +1345,9 @@ def cftime_range_gen(time_data_array: T_DataArray, **kwargs) -> NDArray:
 
 
 def get_cpm_for_coord_alignment(
-    cpm_for_coord_alignment: PathLike | T_Dataset, cpm_regex: str = CPM_REGEX
+    cpm_for_coord_alignment: PathLike | T_Dataset | None,
+    skip_reproject: bool = False,
+    cpm_regex: str = CPM_REGEX,
 ) -> T_Dataset:
     """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`.
 
@@ -1311,20 +1359,46 @@ def get_cpm_for_coord_alignment(
         `cpm_regex` will be used. It will then be processed via
         `cpm_reproject_with_standard_calendar` for comparability and use
         alongside `cpm` files.
+    skip_reproject
+        Whether to skip calling `cpm_reproject_with_standard_calendar`.
     cpm_regex
         A regular expression to filter suitable files if
         `cpm_for_coord_alignment` is a folder `Path`.
+
+    Returns
+    -------
+    An `xarray.Dataset` coordinate structure to align `HADs` coordinates.
     """
-    if isinstance(cpm_for_coord_alignment, PathLike):
-        if Path(cpm_for_coord_alignment).is_dir():
-            cpm_for_coord_alignment = next(
-                Path(cpm_for_coord_alignment).glob(cpm_regex)
+    if not cpm_for_coord_alignment:
+        raise ValueError("'cpm_for_coord_alignment' must be a Path or xarray Dataset.")
+    elif isinstance(cpm_for_coord_alignment, PathLike):
+        path: Path = Path(cpm_for_coord_alignment)
+        if Path(path).is_dir():
+            path = next(Path(path).glob(cpm_regex))
+        if skip_reproject:
+            logger.info(f"Skipping reprojection and loading '{path}'...")
+            cpm_for_coord_alignment, variable = check_xarray_path_and_var_name(
+                cpm_for_coord_alignment, None
+            )
+            logger.info(
+                f"Variable '{variable}' loaded for coord alignment from '{path}'."
             )
+        else:
+            logger.info(f"Converting coordinates of '{path}'...")
+            cpm_for_coord_alignment = cpm_reproject_with_standard_calendar(path)
+            logger.info(f"Coordinates converted from '{path}''")
+    elif not skip_reproject:
+        logger.info(
+            f"Converting coordinates of type {type(cpm_for_coord_alignment)} ..."
+        )
         cpm_for_coord_alignment = cpm_reproject_with_standard_calendar(
             cpm_for_coord_alignment
         )
+        logger.info(f"Coordinates converted to type {type(cpm_for_coord_alignment)}")
+    else:
         logger.info(
-            f"Set 'self.cpm_for_coord_alignment' to: '{cpm_for_coord_alignment}'"
+            f"Coordinate converter of type {type(cpm_for_coord_alignment)} "
+            f"loaded without processing."
         )
     try:
         assert isinstance(cpm_for_coord_alignment, Dataset)
diff --git a/python/conftest.py b/python/conftest.py
index 65f6828e..ab675a14 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -225,18 +225,18 @@ def tasmax_hads_1980_raw_path(
         return local_cache_fixtures["tasmax_hads_1980_raw"].source_path
 
 
-# @pytest.fixture(scope="session")
-# def tasmax_cpm_1980_converted(
-#     local_cache: bool,
-#     local_cpm_cache_path: Path,
-#     local_cache_fixtures: LocalCachesManager,
-# ) -> T_Dataset | None:
-#     if local_cache:
-#         return local_cache_fixtures["tasmax_cpm_1980_converted"].read(
-#             cache_path=local_cpm_cache_path
-#         )
-#     else:
-#         return None
+@pytest.fixture(scope="session")
+def tasmax_cpm_1980_converted(
+    local_cache: bool,
+    local_cpm_cache_path: Path,
+    local_cache_fixtures: LocalCachesManager,
+) -> T_Dataset | None:
+    if local_cache:
+        return local_cache_fixtures["tasmax_cpm_1980_converted"].read(
+            cache_path=local_cpm_cache_path
+        )
+    else:
+        return None
 
 
 @pytest.fixture(scope="session")
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 621acb92..238e1ca8 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -1,4 +1,3 @@
-from datetime import date
 from pathlib import Path
 from typing import Any, Final
 
@@ -6,12 +5,10 @@
 import pytest
 from numpy.testing import assert_allclose
 from numpy.typing import NDArray
-from osgeo.gdal import Dataset as GDALDataset
 from xarray import open_dataset
-from xarray.core.types import T_DataArray, T_Dataset
+from xarray.core.types import T_Dataset
 
 from clim_recal.resample import (
-    BRITISH_NATIONAL_GRID_EPSG,
     CPM_CROP_OUTPUT_LOCAL_PATH,
     HADS_CROP_OUTPUT_LOCAL_PATH,
     CPMResampler,
@@ -20,73 +17,40 @@
     HADsResamplerManager,
     ResamblerManagerBase,
 )
-from clim_recal.utils.core import (
-    CLI_DATE_FORMAT_STR,
-    DateType,
-    annual_data_paths_generator,
-    date_range_generator,
-    results_path,
-)
-from clim_recal.utils.data import (
-    HadUKGrid,
-    RegionOptions,
-    RunOptions,
-    UKCPLocalProjections,
-)
-from clim_recal.utils.gdal_formats import NETCDF_EXTENSION_STR
-from clim_recal.utils.xarray import (  # interpolate_coords,
-    FINAL_RESAMPLE_LAT_COL,
+from clim_recal.utils.core import CLI_DATE_FORMAT_STR
+from clim_recal.utils.data import RegionOptions, RunOptions
+from clim_recal.utils.xarray import (
+    FINAL_CONVERTED_CPM_WIDTH,
     FINAL_RESAMPLE_LON_COL,
-    HADS_RAW_X_COLUMN_NAME,
-    HADS_RAW_Y_COLUMN_NAME,
-    NETCDF4_XARRAY_ENGINE,
-    ConvertCalendarAlignOptions,
-    convert_xr_calendar,
-    cpm_reproject_with_standard_calendar,
-    cpm_xarray_to_standard_calendar,
-    file_name_to_start_end_dates,
-    hads_resample_and_reproject,
     plot_xarray,
 )
 
 from .utils import (
-    CPM_RAW_TASMAX_EXAMPLE_PATH,
     CPM_TASMAX_DAY_SERVER_PATH,
     CPM_TASMAX_LOCAL_TEST_PATH,
+    FINAL_CPM_DEC_10_X_2_Y_200_210,
     HADS_UK_TASMAX_DAY_SERVER_PATH,
     HADS_UK_TASMAX_LOCAL_TEST_PATH,
-    xarray_example,
-    year_days_count,
 )
 
 HADS_FIRST_DATES: Final[NDArray] = np.array(
     ["19800101", "19800102", "19800103", "19800104", "19800105"]
 )
 
-CALENDAR_CONVERTED_CPM_WIDTH: Final[int] = 484
-CALENDAR_CONVERTED_CPM_HEIGHT: Final[int] = 606
-
 # FINAL_CONVERTED_CPM_WIDTH: Final[int] = 410
 # FINAL_CONVERTED_CPM_HEIGHT: Final[int] = 660
-FINAL_CONVERTED_CPM_WIDTH: Final[int] = 493
-FINAL_CONVERTED_CPM_HEIGHT: Final[int] = 607
-
-FINAL_CONVERTED_HADS_WIDTH: Final[int] = 410
-FINAL_CONVERTED_HADS_HEIGHT: Final[int] = 660
-
-RAW_CPM_TASMAX_1980_FIRST_5: Final[NDArray] = np.array(
-    [12.654932, 12.63711, 12.616358, 12.594385, 12.565821], dtype="float32"
-)
-RAW_CPM_TASMAX_1980_DEC_30_FIRST_5: Final[NDArray] = np.array(
-    [13.832666, 13.802149, 13.788477, 13.777491, 13.768946], dtype="float32"
-)
+# FINAL_CONVERTED_CPM_WIDTH: Final[int] = 493
+# FINAL_CONVERTED_CPM_HEIGHT: Final[int] = 607
+#
+# FINAL_CONVERTED_HADS_WIDTH: Final[int] = 410
+# FINAL_CONVERTED_HADS_HEIGHT: Final[int] = 660
 
-PROJECTED_CPM_TASMAX_1980_FIRST_5: Final[NDArray] = np.array(
-    [13.406641, 13.376368, 13.361719, 13.354639, 13.334864], dtype="float32"
-)
-PROJECTED_CPM_TASMAX_1980_DEC_31_FIRST_5: Final[NDArray] = np.array(
-    [10.645899, 10.508448, 10.546778, 10.547998, 10.553614], dtype="float32"
-)
+# RAW_CPM_TASMAX_1980_FIRST_5: Final[NDArray] = np.array(
+#     [12.654932, 12.63711, 12.616358, 12.594385, 12.565821], dtype="float32"
+# )
+# RAW_CPM_TASMAX_1980_DEC_30_FIRST_5: Final[NDArray] = np.array(
+#     [13.832666, 13.802149, 13.788477, 13.777491, 13.768946], dtype="float32"
+# )
 
 
 # FINAL_HADS_JAN_10_430_X_230_250_Y: Final[NDArray] = np.array(
@@ -114,37 +78,37 @@
 #     )
 # )
 
-FINAL_HADS_JAN_10_430_X_200_210_Y: Final[NDArray] = np.array(
-    (
-        np.nan,
-        np.nan,
-        np.nan,
-        np.nan,
-        7.57977839,
-        7.47138044,
-        7.27587694,
-        7.27587694,
-        7.07294578,
-        7.04533059,
-    )
-)
-
-
-FINAL_CPM_DEC_10_X_2_Y_200_210: Final[NDArray] = np.array(
-    (
-        np.nan,
-        np.nan,
-        9.637598,
-        9.646631,
-        9.636621,
-        9.622217,
-        9.625147,
-        9.640039,
-        9.6349125,
-        9.509668,
-    )
-)
+# FINAL_HADS_JAN_10_430_X_200_210_Y: Final[NDArray] = np.array(
+#     (
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         np.nan,
+#         7.57977839,
+#         7.47138044,
+#         7.27587694,
+#         7.27587694,
+#         7.07294578,
+#         7.04533059,
+#     )
+# )
+#
 
+# FINAL_CPM_DEC_10_X_2_Y_200_210: Final[NDArray] = np.array(
+#     (
+#         np.nan,
+#         np.nan,
+#         9.637598,
+#         9.646631,
+#         9.636621,
+#         9.622217,
+#         9.625147,
+#         9.640039,
+#         9.6349125,
+#         9.509668,
+#     )
+# )
+#
 
 # @pytest.fixture(scope="session")
 # def reference_final_coord_grid() -> T_Dataset:
@@ -156,10 +120,11 @@ def cpm_tasmax_raw_mount_path(data_mount_path: Path) -> Path:
     return data_mount_path / CPM_TASMAX_DAY_SERVER_PATH
 
 
-@pytest.fixture
-def cpm_tasmax_raw_5_years_paths(cpm_tasmax_raw_path: Path) -> tuple[Path, ...]:
-    """Return a `tuple` of valid paths for 5 years of"""
-    return tuple(annual_data_paths_generator(parent_path=cpm_tasmax_raw_path))
+#
+# @pytest.fixture
+# def cpm_tasmax_raw_5_years_paths(cpm_tasmax_raw_path: Path) -> tuple[Path, ...]:
+#     """Return a `tuple` of valid paths for 5 years of"""
+#     return tuple(annual_data_paths_generator(parent_path=cpm_tasmax_raw_path))
 
 
 @pytest.fixture
@@ -177,413 +142,413 @@ def cpm_tasmax_local_test_path(data_fixtures_path: Path) -> Path:
     return data_fixtures_path / CPM_TASMAX_LOCAL_TEST_PATH
 
 
-def test_leap_year_days() -> None:
-    """Test covering a leap year of 366 days."""
-    start_date_str: str = "2024-03-01"
-    end_date_str: str = "2025-03-01"
-    xarray_2024_2025: T_DataArray = xarray_example(
-        start_date=start_date_str,
-        end_date=end_date_str,
-        inclusive=True,
-    )
-    assert len(xarray_2024_2025) == year_days_count(leap_years=1)
-
-
-# This is roughly what I had in mind for
-# https://github.com/alan-turing-institute/clim-recal/issues/132
-# This tests converting from a standard calendar to a 360_day calendar.
-@pytest.mark.parametrize(
-    # Only one of start_date and end_date are included the day counts
-    "start_date, end_date, gen_date_count, days_360, converted_days, align_on",
-    [
-        pytest.param(
-            # 4 years, including a leap year
-            "2024-03-02",
-            "2028-03-02",
-            year_days_count(standard_years=3, leap_years=1),
-            year_days_count(xarray_360_day_years=4),
-            year_days_count(standard_years=3, leap_years=1),
-            "year",
-            id="years_4_annual_align",
-        ),
-        pytest.param(
-            # A whole year, most of which is in a leap year, but avoids the leap day
-            "2024-03-02",
-            "2025-03-02",
-            year_days_count(standard_years=1),
-            year_days_count(xarray_360_day_years=1) - 1,
-            year_days_count(standard_years=1),
-            "year",
-            id="leap_year_but_no_leap_day_annual_align",
-        ),
-        pytest.param(
-            # A whole year, the same date range as the previous test,
-            # but includes the leap day and the majority of the days are in a non-leap year
-            # Note: the current final export configuration *adds* a day
-            "2023-03-02",
-            "2024-03-02",
-            year_days_count(leap_years=1),
-            year_days_count(xarray_360_day_years=1) + 1,
-            year_days_count(leap_years=1) + 1,
-            "year",
-            id="leap_year_with_leap_day_annual_align",
-        ),
-        pytest.param(
-            # An exact calendar year which *IS NOT* a leap year
-            "2023-01-01",
-            "2024-01-01",
-            year_days_count(standard_years=1),
-            year_days_count(xarray_360_day_years=1),
-            year_days_count(standard_years=1),
-            "year",
-            id="non_leap_year_annual_align",
-        ),
-        pytest.param(
-            # A leap day (just the days either side, in a leap year)
-            "2024-02-28",
-            "2024-03-01",
-            2,
-            2,
-            2,
-            "year",
-            id="leap_day",
-        ),
-        pytest.param(
-            # A non-leap day (just the days either side, in a non-leap year)
-            "2023-02-28",
-            "2023-03-01",
-            1,
-            1,
-            1,
-            "year",
-            id="non_leap_day_date_align",
-        ),
-        # Add more test cases to cover the different scenarios and edge cases
-        pytest.param(
-            # 4 years, including a leap year
-            # WARNING: the intermittent year days seems a week short
-            "2024-03-02",
-            "2028-03-02",
-            year_days_count(standard_years=3, leap_years=1),
-            year_days_count(xarray_360_day_years=4) - 7,
-            year_days_count(standard_years=3, leap_years=1),
-            "date",
-            id="years_4_date_align",
-            marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
-        ),
-        pytest.param(
-            # A whole year, most of which is in a leap year, but avoids the leap day
-            "2024-03-02",
-            "2025-03-02",
-            year_days_count(standard_years=1),
-            year_days_count(xarray_360_day_years=1) - 2,
-            year_days_count(standard_years=1),
-            "date",
-            id="leap_year_but_no_leap_day_date_align",
-            marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
-        ),
-        pytest.param(
-            # A whole year, the same date range as the previous test,
-            # but includes the leap day and the majority of the days are in a non-leap year
-            # Note: the current final export configuration *adds* a day
-            "2023-03-02",
-            "2024-03-02",
-            year_days_count(leap_years=1),
-            year_days_count(xarray_360_day_years=1) - 1,
-            year_days_count(leap_years=1) + 1,
-            "date",
-            id="leap_year_with_leap_day_date_align",
-            marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
-        ),
-        pytest.param(
-            # An exact calendar year which *IS NOT* a leap year
-            "2023-01-01",
-            "2024-01-01",
-            year_days_count(standard_years=1),
-            year_days_count(xarray_360_day_years=1) - 2,
-            year_days_count(standard_years=1),
-            "date",
-            id="non_leap_year_date_align",
-            marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
-        ),
-        pytest.param(
-            # A leap day (just the days either side, in a leap year)
-            "2024-02-28",
-            "2024-03-01",
-            2,
-            2,
-            2,
-            "date",
-            id="leap_day",
-        ),
-        pytest.param(
-            # A non-leap day (just the days either side, in a non-leap year)
-            "2023-02-28",
-            "2023-03-01",
-            1,
-            1,
-            1,
-            "date",
-            id="non_leap_day_date_align",
-        ),
-    ],
-)
-def test_time_gaps_360_to_standard_calendar(
-    start_date: DateType,
-    end_date: DateType,
-    gen_date_count: int,
-    days_360: int,
-    converted_days: int,
-    align_on: ConvertCalendarAlignOptions,
-):
-    """Test `convert_xr_calendar` call of `360_day` `DataArray` to `standard` calendar."""
-    # Potential paramaterized variables
-    inclusive_date_range: bool = False  # includes the last day specified
-    use_cftime: bool = True  # Whether to enforece using `cftime` over `datetime64`
-    # align_on: ConvertCalendarAlignOptions = 'date'
-
-    # Create a base
-    base: T_Dataset = xarray_example(
-        start_date, end_date, as_dataset=True, inclusive=inclusive_date_range
-    )
-
-    # Ensure the generated date range matches for later checks
-    # This occurs for a sigle leap year
-    assert len(base.time) == gen_date_count
-
-    # Convert to `360_day` calendar example
-    dates_360: T_Dataset = base.convert_calendar(
-        calendar="360_day",
-        align_on=align_on,
-        use_cftime=use_cftime,
-    )
-
-    # Check the total number of days are as expected
-    assert len(dates_360.time) == days_360
-
-    if converted_days < 5:
-        with pytest.raises(ValueError):
-            convert_xr_calendar(dates_360, align_on=align_on, use_cftime=use_cftime)
-    else:
-        dates_converted: T_Dataset = convert_xr_calendar(
-            dates_360, align_on=align_on, use_cftime=use_cftime
-        )
-        assert len(dates_converted.time) == converted_days
-
-        # Optionally now check which dates have been dropped and added
-        # Add more assertions here...
-        assert all(base.time == dates_converted.time)
-        assert all(base.time != dates_360.time)
-
-
-@pytest.mark.slow
-@pytest.mark.mount
-@pytest.mark.parametrize("interpolate_na", (True, False))
-def test_convert_cpm_calendar(interpolate_na: bool) -> None:
-    """Test `convert_calendar` on mounted `cpm` data.
-
-    Notes
-    -----
-    If `interpolate_na` is `True`, there shouldn't be `tasmax` `nan` values, hence
-    creating the `na_values` `bool` as the inverse of `interpolate_na`.
-    """
-    any_na_values_in_tasmax: bool = not interpolate_na
-    raw_nc: T_Dataset = open_dataset(
-        CPM_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all", engine=NETCDF4_XARRAY_ENGINE
-    )
-    assert len(raw_nc.time) == 360
-    assert len(raw_nc.time_bnds) == 360
-    converted: T_Dataset = convert_xr_calendar(raw_nc, interpolate_na=interpolate_na)
-    assert len(converted.time) == 365
-    assert len(converted.time_bnds) == 365
-    assert (
-        np.isnan(converted.tasmax.head()[0][0][0].values).all()
-        == any_na_values_in_tasmax
-    )
-
-
-@pytest.mark.localcache
-@pytest.mark.mount
-@pytest.mark.slow
-@pytest.mark.parametrize("include_bnds_index", (True, False))
-def test_cpm_xarray_to_standard_calendar(
-    tasmax_cpm_1980_raw: T_Dataset,
-    include_bnds_index: bool,
-) -> None:
-    """Test 360 raw to 365/366 calendar conversion.
-
-    Notes
-    -----
-    Indexing differs between `include_bnds_index` ``bool`.
-    ```
-    """
-    CORRECT_PROJ4: Final[str] = (
-        "+proj=ob_tran +o_proj=longlat +o_lon_p=0 +o_lat_p=37.5 +lon_0=357.5 +R=6371229 +no_defs=True"
-    )
-    test_converted = cpm_xarray_to_standard_calendar(
-        tasmax_cpm_1980_raw, include_bnds_index=include_bnds_index
-    )
-    assert test_converted.rio.width == CALENDAR_CONVERTED_CPM_WIDTH
-    assert test_converted.rio.height == CALENDAR_CONVERTED_CPM_HEIGHT
-    assert test_converted.rio.crs.to_proj4() == CORRECT_PROJ4
-    assert test_converted.tasmax.rio.crs.to_proj4() == CORRECT_PROJ4
-    assert len(test_converted.time) == 365
-
-    tasmax_data_subset: NDArray
-    if include_bnds_index:
-        assert len(test_converted.tasmax.data) == 2  # second band
-        assert len(test_converted.tasmax.data[0][0]) == 365  # first band
-        assert len(test_converted.tasmax.data[1][0]) == 365  # second band
-        tasmax_data_subset = test_converted.tasmax.data[0][0]  # first band
-    else:
-        assert len(test_converted.tasmax.data) == 1  # no band index
-        tasmax_data_subset = test_converted.tasmax.data[0]
-    assert len(tasmax_data_subset) == 365
-
-    # By default December 1 in a 360 to 365 projection would
-    # be null. The values matching below should indicate the
-    # projection has interpolated null values on the first date
-    assert (
-        tasmax_data_subset[0][0][:5]
-        == PROJECTED_CPM_TASMAX_1980_FIRST_5
-        # test_converted.tasmax.data[0][0][0][0][:5] == PROJECTED_CPM_TASMAX_1980_FIRST_5
-    ).all()
-    # Check December 31 1980, which wouldn't be included in 360 day calendar
-    assert (
-        # test_converted.tasmax.data[0][0][31][0][:5]
-        tasmax_data_subset[31][0][:5]
-        == PROJECTED_CPM_TASMAX_1980_DEC_31_FIRST_5
-    ).all()
-
-
-@pytest.mark.localcache
-@pytest.mark.mount
-@pytest.mark.slow
-def test_cpm_reproject_with_standard_calendar(
-    tasmax_cpm_1980_raw_path: Path,
-    test_runs_output_path: Path,
-    variable_name: str = "tasmax",
-) -> None:
-    """Test all steps around calendar and warping CPM RAW data."""
-    output_path: Path = results_path(
-        "test-cpm-warp",
-        path=test_runs_output_path,
-        mkdir=True,
-        extension=NETCDF_EXTENSION_STR,
-    )
-    plot_path: Path = output_path.parent / (output_path.stem + ".png")
-    projected: T_Dataset = cpm_reproject_with_standard_calendar(
-        tasmax_cpm_1980_raw_path,
-    )
-    assert projected.rio.crs == BRITISH_NATIONAL_GRID_EPSG
-    projected.to_netcdf(output_path)
-    results: T_Dataset = open_dataset(output_path, decode_coords="all")
-    assert (results.time == projected.time).all()
-    assert results.dims == {
-        FINAL_RESAMPLE_LON_COL: FINAL_CONVERTED_CPM_WIDTH,
-        FINAL_RESAMPLE_LAT_COL: FINAL_CONVERTED_CPM_HEIGHT,
-        "time": 365,
-    }
-    assert results.rio.crs == BRITISH_NATIONAL_GRID_EPSG
-    assert len(results.data_vars) == 1
-    assert_allclose(
-        results[variable_name][10][2][200:210], FINAL_CPM_DEC_10_X_2_Y_200_210
-    )
-    plot_xarray(results.tasmax[0], plot_path, time_stamp=True)
-
+# def test_leap_year_days() -> None:
+#     """Test covering a leap year of 366 days."""
+#     start_date_str: str = "2024-03-01"
+#     end_date_str: str = "2025-03-01"
+#     xarray_2024_2025: T_DataArray = xarray_example(
+#         start_date=start_date_str,
+#         end_date=end_date_str,
+#         inclusive=True,
+#     )
+#     assert len(xarray_2024_2025) == year_days_count(leap_years=1)
+#
+#
+# # This is roughly what I had in mind for
+# # https://github.com/alan-turing-institute/clim-recal/issues/132
+# # This tests converting from a standard calendar to a 360_day calendar.
+# @pytest.mark.parametrize(
+#     # Only one of start_date and end_date are included the day counts
+#     "start_date, end_date, gen_date_count, days_360, converted_days, align_on",
+#     [
+#         pytest.param(
+#             # 4 years, including a leap year
+#             "2024-03-02",
+#             "2028-03-02",
+#             year_days_count(standard_years=3, leap_years=1),
+#             year_days_count(xarray_360_day_years=4),
+#             year_days_count(standard_years=3, leap_years=1),
+#             "year",
+#             id="years_4_annual_align",
+#         ),
+#         pytest.param(
+#             # A whole year, most of which is in a leap year, but avoids the leap day
+#             "2024-03-02",
+#             "2025-03-02",
+#             year_days_count(standard_years=1),
+#             year_days_count(xarray_360_day_years=1) - 1,
+#             year_days_count(standard_years=1),
+#             "year",
+#             id="leap_year_but_no_leap_day_annual_align",
+#         ),
+#         pytest.param(
+#             # A whole year, the same date range as the previous test,
+#             # but includes the leap day and the majority of the days are in a non-leap year
+#             # Note: the current final export configuration *adds* a day
+#             "2023-03-02",
+#             "2024-03-02",
+#             year_days_count(leap_years=1),
+#             year_days_count(xarray_360_day_years=1) + 1,
+#             year_days_count(leap_years=1) + 1,
+#             "year",
+#             id="leap_year_with_leap_day_annual_align",
+#         ),
+#         pytest.param(
+#             # An exact calendar year which *IS NOT* a leap year
+#             "2023-01-01",
+#             "2024-01-01",
+#             year_days_count(standard_years=1),
+#             year_days_count(xarray_360_day_years=1),
+#             year_days_count(standard_years=1),
+#             "year",
+#             id="non_leap_year_annual_align",
+#         ),
+#         pytest.param(
+#             # A leap day (just the days either side, in a leap year)
+#             "2024-02-28",
+#             "2024-03-01",
+#             2,
+#             2,
+#             2,
+#             "year",
+#             id="leap_day",
+#         ),
+#         pytest.param(
+#             # A non-leap day (just the days either side, in a non-leap year)
+#             "2023-02-28",
+#             "2023-03-01",
+#             1,
+#             1,
+#             1,
+#             "year",
+#             id="non_leap_day_date_align",
+#         ),
+#         # Add more test cases to cover the different scenarios and edge cases
+#         pytest.param(
+#             # 4 years, including a leap year
+#             # WARNING: the intermittent year days seems a week short
+#             "2024-03-02",
+#             "2028-03-02",
+#             year_days_count(standard_years=3, leap_years=1),
+#             year_days_count(xarray_360_day_years=4) - 7,
+#             year_days_count(standard_years=3, leap_years=1),
+#             "date",
+#             id="years_4_date_align",
+#             marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
+#         ),
+#         pytest.param(
+#             # A whole year, most of which is in a leap year, but avoids the leap day
+#             "2024-03-02",
+#             "2025-03-02",
+#             year_days_count(standard_years=1),
+#             year_days_count(xarray_360_day_years=1) - 2,
+#             year_days_count(standard_years=1),
+#             "date",
+#             id="leap_year_but_no_leap_day_date_align",
+#             marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
+#         ),
+#         pytest.param(
+#             # A whole year, the same date range as the previous test,
+#             # but includes the leap day and the majority of the days are in a non-leap year
+#             # Note: the current final export configuration *adds* a day
+#             "2023-03-02",
+#             "2024-03-02",
+#             year_days_count(leap_years=1),
+#             year_days_count(xarray_360_day_years=1) - 1,
+#             year_days_count(leap_years=1) + 1,
+#             "date",
+#             id="leap_year_with_leap_day_date_align",
+#             marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
+#         ),
+#         pytest.param(
+#             # An exact calendar year which *IS NOT* a leap year
+#             "2023-01-01",
+#             "2024-01-01",
+#             year_days_count(standard_years=1),
+#             year_days_count(xarray_360_day_years=1) - 2,
+#             year_days_count(standard_years=1),
+#             "date",
+#             id="non_leap_year_date_align",
+#             marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
+#         ),
+#         pytest.param(
+#             # A leap day (just the days either side, in a leap year)
+#             "2024-02-28",
+#             "2024-03-01",
+#             2,
+#             2,
+#             2,
+#             "date",
+#             id="leap_day",
+#         ),
+#         pytest.param(
+#             # A non-leap day (just the days either side, in a non-leap year)
+#             "2023-02-28",
+#             "2023-03-01",
+#             1,
+#             1,
+#             1,
+#             "date",
+#             id="non_leap_day_date_align",
+#         ),
+#     ],
+# )
+# def test_time_gaps_360_to_standard_calendar(
+#     start_date: DateType,
+#     end_date: DateType,
+#     gen_date_count: int,
+#     days_360: int,
+#     converted_days: int,
+#     align_on: ConvertCalendarAlignOptions,
+# ):
+#     """Test `convert_xr_calendar` call of `360_day` `DataArray` to `standard` calendar."""
+#     # Potential paramaterized variables
+#     inclusive_date_range: bool = False  # includes the last day specified
+#     use_cftime: bool = True  # Whether to enforece using `cftime` over `datetime64`
+#     # align_on: ConvertCalendarAlignOptions = 'date'
+#
+#     # Create a base
+#     base: T_Dataset = xarray_example(
+#         start_date, end_date, as_dataset=True, inclusive=inclusive_date_range
+#     )
+#
+#     # Ensure the generated date range matches for later checks
+#     # This occurs for a sigle leap year
+#     assert len(base.time) == gen_date_count
+#
+#     # Convert to `360_day` calendar example
+#     dates_360: T_Dataset = base.convert_calendar(
+#         calendar="360_day",
+#         align_on=align_on,
+#         use_cftime=use_cftime,
+#     )
+#
+#     # Check the total number of days are as expected
+#     assert len(dates_360.time) == days_360
+#
+#     if converted_days < 5:
+#         with pytest.raises(ValueError):
+#             convert_xr_calendar(dates_360, align_on=align_on, use_cftime=use_cftime)
+#     else:
+#         dates_converted: T_Dataset = convert_xr_calendar(
+#             dates_360, align_on=align_on, use_cftime=use_cftime
+#         )
+#         assert len(dates_converted.time) == converted_days
+#
+#         # Optionally now check which dates have been dropped and added
+#         # Add more assertions here...
+#         assert all(base.time == dates_converted.time)
+#         assert all(base.time != dates_360.time)
+#
 
-@pytest.mark.xfail(reason="test not complete")
-def test_cpm_tif_to_standard_calendar(
-    glasgow_example_cropped_cpm_rainfall_path: Path,
-) -> None:
-    test_converted: tuple[date, ...] = tuple(
-        date_range_generator(
-            *file_name_to_start_end_dates(glasgow_example_cropped_cpm_rainfall_path)
-        )
-    )
-    assert len(test_converted) == 366
-    assert False
+# @pytest.mark.slow
+# @pytest.mark.mount
+# @pytest.mark.parametrize("interpolate_na", (True, False))
+# def test_convert_cpm_calendar(interpolate_na: bool) -> None:
+#     """Test `convert_calendar` on mounted `cpm` data.
+#
+#     Notes
+#     -----
+#     If `interpolate_na` is `True`, there shouldn't be `tasmax` `nan` values, hence
+#     creating the `na_values` `bool` as the inverse of `interpolate_na`.
+#     """
+#     any_na_values_in_tasmax: bool = not interpolate_na
+#     raw_nc: T_Dataset = open_dataset(
+#         CPM_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all", engine=NETCDF4_XARRAY_ENGINE
+#     )
+#     assert len(raw_nc.time) == 360
+#     assert len(raw_nc.time_bnds) == 360
+#     converted: T_Dataset = convert_xr_calendar(raw_nc, interpolate_na=interpolate_na)
+#     assert len(converted.time) == 365
+#     assert len(converted.time_bnds) == 365
+#     assert (
+#         np.isnan(converted.tasmax.head()[0][0][0].values).all()
+#         == any_na_values_in_tasmax
+#     )
 
 
-# @pytest.mark.xfail(reason="not finished writing, will need refactor")
-@pytest.mark.localcache
-@pytest.mark.slow
-@pytest.mark.mount
-@pytest.mark.parametrize("region", ("Glasgow", "Manchester", "London", "Scotland"))
-@pytest.mark.parametrize("data_type", (UKCPLocalProjections, HadUKGrid))
-@pytest.mark.parametrize(
-    # "config", ("direct", "range", "direct_provided", "range_provided")
-    "config",
-    ("direct", "range"),
-)
-def test_crop_xarray(
-    tasmax_cpm_1980_raw_path,
-    tasmax_hads_1980_raw_path,
-    resample_test_cpm_output_path,
-    resample_test_hads_output_path,
-    config: str,
-    data_type: str,
-    region: str,
-):
-    """Test `cropping` `DataArray` to `standard` calendar."""
-    CPM_FIRST_DATES: np.array = np.array(
-        ["19801201", "19801202", "19801203", "19801204", "19801205"]
-    )
-    test_config: CPMResampler | HADsResampler
-    if data_type == HadUKGrid:
-        output_path: Path = resample_test_hads_output_path / config
-        crop_path: Path = (
-            resample_test_hads_output_path / config / HADS_CROP_OUTPUT_LOCAL_PATH
-        )
+# @pytest.mark.localcache
+# @pytest.mark.mount
+# @pytest.mark.slow
+# @pytest.mark.parametrize("include_bnds_index", (True, False))
+# def test_cpm_xarray_to_standard_calendar(
+#     tasmax_cpm_1980_raw: T_Dataset,
+#     include_bnds_index: bool,
+# ) -> None:
+#     """Test 360 raw to 365/366 calendar conversion.
+#
+#     Notes
+#     -----
+#     Indexing differs between `include_bnds_index` ``bool`.
+#     ```
+#     """
+#     CORRECT_PROJ4: Final[str] = (
+#         "+proj=ob_tran +o_proj=longlat +o_lon_p=0 +o_lat_p=37.5 +lon_0=357.5 +R=6371229 +no_defs=True"
+#     )
+#     test_converted = cpm_xarray_to_standard_calendar(
+#         tasmax_cpm_1980_raw, include_bnds_index=include_bnds_index
+#     )
+#     assert test_converted.rio.width == CALENDAR_CONVERTED_CPM_WIDTH
+#     assert test_converted.rio.height == CALENDAR_CONVERTED_CPM_HEIGHT
+#     assert test_converted.rio.crs.to_proj4() == CORRECT_PROJ4
+#     assert test_converted.tasmax.rio.crs.to_proj4() == CORRECT_PROJ4
+#     assert len(test_converted.time) == 365
+#
+#     tasmax_data_subset: NDArray
+#     if include_bnds_index:
+#         assert len(test_converted.tasmax.data) == 2  # second band
+#         assert len(test_converted.tasmax.data[0][0]) == 365  # first band
+#         assert len(test_converted.tasmax.data[1][0]) == 365  # second band
+#         tasmax_data_subset = test_converted.tasmax.data[0][0]  # first band
+#     else:
+#         assert len(test_converted.tasmax.data) == 1  # no band index
+#         tasmax_data_subset = test_converted.tasmax.data[0]
+#     assert len(tasmax_data_subset) == 365
+#
+#     # By default December 1 in a 360 to 365 projection would
+#     # be null. The values matching below should indicate the
+#     # projection has interpolated null values on the first date
+#     assert (
+#         tasmax_data_subset[0][0][:5]
+#         == PROJECTED_CPM_TASMAX_1980_FIRST_5
+#         # test_converted.tasmax.data[0][0][0][0][:5] == PROJECTED_CPM_TASMAX_1980_FIRST_5
+#     ).all()
+#     # Check December 31 1980, which wouldn't be included in 360 day calendar
+#     assert (
+#         # test_converted.tasmax.data[0][0][31][0][:5]
+#         tasmax_data_subset[31][0][:5]
+#         == PROJECTED_CPM_TASMAX_1980_DEC_31_FIRST_5
+#     ).all()
 
-        test_config = HADsResampler(
-            input_path=tasmax_hads_1980_raw_path.parent,
-            output_path=output_path,
-            crop_path=crop_path,
-        )
-    else:
-        assert data_type == UKCPLocalProjections
-        output_path: Path = resample_test_cpm_output_path / config
-        crop_path: Path = (
-            resample_test_cpm_output_path / config / CPM_CROP_OUTPUT_LOCAL_PATH
-        )
-        test_config = CPMResampler(
-            input_path=tasmax_cpm_1980_raw_path.parent,
-            output_path=output_path,
-            crop_path=crop_path,
-        )
-    paths: list[Path]
-    try:
-        reproject_result: GDALDataset = test_config.to_reprojection()
-    except FileExistsError:
-        test_config._sync_reprojected_paths(overwrite_output_path=output_path)
 
-    match config:
-        case "direct":
-            paths = [test_config.crop_projection(region=region)]
-        case "range":
-            paths = test_config.range_crop_projection(stop=1)
-        # case "direct_provided":
-        #     paths = [
-        #         test_config.to_reprojection(index=0, source_to_index=tuple(test_config))
-        #     ]
-        # case "range_provided":
-        #     paths = test_config.range_to_reprojection(
-        #         stop=1, source_to_index=tuple(test_config)
-        #     )
-    crop: T_Dataset = open_dataset(paths[0])
-    # assert crop.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_CPM_WIDTH
-    # assert_allclose(export.tasmax[10][5][:10].values, FINAL_CPM_DEC_10_5_X_0_10_Y)
-    if data_type == UKCPLocalProjections:
-        assert crop.dims["time"] == 365
-        assert (
-            CPM_FIRST_DATES == crop.time.dt.strftime(CLI_DATE_FORMAT_STR).head().values
-        ).all()
-    plot_xarray(
-        crop.tasmax[0],
-        path=crop_path / region / f"config-{config}.png",
-        time_stamp=True,
-    )
+# @pytest.mark.localcache
+# @pytest.mark.mount
+# @pytest.mark.slow
+# def test_cpm_reproject_with_standard_calendar(
+#     tasmax_cpm_1980_raw_path: Path,
+#     test_runs_output_path: Path,
+#     variable_name: str = "tasmax",
+# ) -> None:
+#     """Test all steps around calendar and warping CPM RAW data."""
+#     output_path: Path = results_path(
+#         "test-cpm-warp",
+#         path=test_runs_output_path,
+#         mkdir=True,
+#         extension=NETCDF_EXTENSION_STR,
+#     )
+#     plot_path: Path = output_path.parent / (output_path.stem + ".png")
+#     projected: T_Dataset = cpm_reproject_with_standard_calendar(
+#         tasmax_cpm_1980_raw_path,
+#     )
+#     assert projected.rio.crs == BRITISH_NATIONAL_GRID_EPSG
+#     projected.to_netcdf(output_path)
+#     results: T_Dataset = open_dataset(output_path, decode_coords="all")
+#     assert (results.time == projected.time).all()
+#     assert results.dims == {
+#         FINAL_RESAMPLE_LON_COL: FINAL_CONVERTED_CPM_WIDTH,
+#         FINAL_RESAMPLE_LAT_COL: FINAL_CONVERTED_CPM_HEIGHT,
+#         "time": 365,
+#     }
+#     assert results.rio.crs == BRITISH_NATIONAL_GRID_EPSG
+#     assert len(results.data_vars) == 1
+#     assert_allclose(
+#         results[variable_name][10][2][200:210], FINAL_CPM_DEC_10_X_2_Y_200_210
+#     )
+#     plot_xarray(results.tasmax[0], plot_path, time_stamp=True)
+#
+#
+# @pytest.mark.xfail(reason="test not complete")
+# def test_cpm_tif_to_standard_calendar(
+#     glasgow_example_cropped_cpm_rainfall_path: Path,
+# ) -> None:
+#     test_converted: tuple[date, ...] = tuple(
+#         date_range_generator(
+#             *file_name_to_start_end_dates(glasgow_example_cropped_cpm_rainfall_path)
+#         )
+#     )
+#     assert len(test_converted) == 366
+#     assert False
+#
+#
+# # @pytest.mark.xfail(reason="not finished writing, will need refactor")
+# @pytest.mark.localcache
+# @pytest.mark.slow
+# @pytest.mark.mount
+# @pytest.mark.parametrize("region", ("Glasgow", "Manchester", "London", "Scotland"))
+# @pytest.mark.parametrize("data_type", (UKCPLocalProjections, HadUKGrid))
+# @pytest.mark.parametrize(
+#     # "config", ("direct", "range", "direct_provided", "range_provided")
+#     "config",
+#     ("direct", "range"),
+# )
+# def test_crop_xarray(
+#     tasmax_cpm_1980_raw_path,
+#     tasmax_hads_1980_raw_path,
+#     resample_test_cpm_output_path,
+#     resample_test_hads_output_path,
+#     config: str,
+#     data_type: str,
+#     region: str,
+# ):
+#     """Test `cropping` `DataArray` to `standard` calendar."""
+#     CPM_FIRST_DATES: np.array = np.array(
+#         ["19801201", "19801202", "19801203", "19801204", "19801205"]
+#     )
+#     test_config: CPMResampler | HADsResampler
+#     if data_type == HadUKGrid:
+#         output_path: Path = resample_test_hads_output_path / config
+#         crop_path: Path = (
+#             resample_test_hads_output_path / config / HADS_CROP_OUTPUT_LOCAL_PATH
+#         )
+#
+#         test_config = HADsResampler(
+#             input_path=tasmax_hads_1980_raw_path.parent,
+#             output_path=output_path,
+#             crop_path=crop_path,
+#         )
+#     else:
+#         assert data_type == UKCPLocalProjections
+#         output_path: Path = resample_test_cpm_output_path / config
+#         crop_path: Path = (
+#             resample_test_cpm_output_path / config / CPM_CROP_OUTPUT_LOCAL_PATH
+#         )
+#         test_config = CPMResampler(
+#             input_path=tasmax_cpm_1980_raw_path.parent,
+#             output_path=output_path,
+#             crop_path=crop_path,
+#         )
+#     paths: list[Path]
+#     try:
+#         reproject_result: GDALDataset = test_config.to_reprojection()
+#     except FileExistsError:
+#         test_config._sync_reprojected_paths(overwrite_output_path=output_path)
+#
+#     match config:
+#         case "direct":
+#             paths = [test_config.crop_projection(region=region)]
+#         case "range":
+#             paths = test_config.range_crop_projection(stop=1)
+#         # case "direct_provided":
+#         #     paths = [
+#         #         test_config.to_reprojection(index=0, source_to_index=tuple(test_config))
+#         #     ]
+#         # case "range_provided":
+#         #     paths = test_config.range_to_reprojection(
+#         #         stop=1, source_to_index=tuple(test_config)
+#         #     )
+#     crop: T_Dataset = open_dataset(paths[0])
+#     # assert crop.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_CPM_WIDTH
+#     # assert_allclose(export.tasmax[10][5][:10].values, FINAL_CPM_DEC_10_5_X_0_10_Y)
+#     if data_type == UKCPLocalProjections:
+#         assert crop.dims["time"] == 365
+#         assert (
+#             CPM_FIRST_DATES == crop.time.dt.strftime(CLI_DATE_FORMAT_STR).head().values
+#         ).all()
+#     plot_xarray(
+#         crop.tasmax[0],
+#         path=crop_path / region / f"config-{config}.png",
+#         time_stamp=True,
+#     )
 
 
 @pytest.mark.localcache
@@ -729,68 +694,68 @@ def test_hads_manager(
 #     assert reprojected_xr_time_series.dims[y_col_name] == 651
 
 
-@pytest.mark.slow
-@pytest.mark.localcache
-@pytest.mark.mount
-def test_hads_resample_and_reproject(
-    tasmax_hads_1980_raw: T_Dataset,
-    tasmax_cpm_1980_raw: T_Dataset,
-) -> None:
-    variable_name: str = "tasmax"
-    output_path: Path = Path("tests/runs/reample-hads")
-    # First index is for month, in this case January 1980
-    # The following could be replaced by a cached fixture
-    cpm_to_match: T_Dataset = cpm_reproject_with_standard_calendar(tasmax_cpm_1980_raw)
-    plot_xarray(
-        tasmax_hads_1980_raw.tasmax[0],
-        path=output_path / "tasmas-1980-JAN-1-raw.png",
-        time_stamp=True,
-    )
-
-    assert tasmax_hads_1980_raw.dims["time"] == 31
-    assert tasmax_hads_1980_raw.dims[HADS_RAW_X_COLUMN_NAME] == 900
-    assert tasmax_hads_1980_raw.dims[HADS_RAW_Y_COLUMN_NAME] == 1450
-    reprojected: T_Dataset = hads_resample_and_reproject(
-        tasmax_hads_1980_raw,
-        variable_name=variable_name,
-        cpm_to_match=tasmax_cpm_1980_raw,
-    )
-
-    assert reprojected.rio.crs.to_epsg() == int(BRITISH_NATIONAL_GRID_EPSG[5:])
-    export_netcdf_path: Path = results_path(
-        "tasmax-1980-converted", path=output_path, extension="nc"
-    )
-    reprojected.to_netcdf(export_netcdf_path)
-    read_from_export: T_Dataset = open_dataset(export_netcdf_path, decode_coords="all")
-    plot_xarray(
-        read_from_export.tasmax[0],
-        path=output_path / "tasmax-1980-JAN-1-resampled.png",
-        time_stamp=True,
-    )
-    assert_allclose(
-        read_from_export.tasmax[10][430][200:210], FINAL_HADS_JAN_10_430_X_200_210_Y
-    )
-    assert read_from_export.dims["time"] == 31
-    assert (
-        read_from_export.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_CPM_WIDTH
-    )  # replaces projection_x_coordinate
-    assert (
-        read_from_export.dims[FINAL_RESAMPLE_LAT_COL] == FINAL_CONVERTED_CPM_HEIGHT
-    )  # replaces projection_y_coordinate
-    assert reprojected.rio.crs == read_from_export.rio.crs == BRITISH_NATIONAL_GRID_EPSG
-    # Check projection coordinates match for CPM and HADs
-    assert (
-        reprojected.tasmax.rio.crs
-        == read_from_export.tasmax.rio.crs
-        == BRITISH_NATIONAL_GRID_EPSG
-    )
-    # Check projection coordinates are set at the variable level
-    assert all(cpm_to_match.x == read_from_export.x)
-    assert all(cpm_to_match.y == read_from_export.y)
-    assert (
-        read_from_export.spatial_ref.attrs["spatial_ref"]
-        == cpm_to_match.spatial_ref.attrs["spatial_ref"]
-    )
+# @pytest.mark.slow
+# @pytest.mark.localcache
+# @pytest.mark.mount
+# def test_hads_resample_and_reproject(
+#     tasmax_hads_1980_raw: T_Dataset,
+#     tasmax_cpm_1980_raw: T_Dataset,
+# ) -> None:
+#     variable_name: str = "tasmax"
+#     output_path: Path = Path("tests/runs/reample-hads")
+#     # First index is for month, in this case January 1980
+#     # The following could be replaced by a cached fixture
+#     cpm_to_match: T_Dataset = cpm_reproject_with_standard_calendar(tasmax_cpm_1980_raw)
+#     plot_xarray(
+#         tasmax_hads_1980_raw.tasmax[0],
+#         path=output_path / "tasmas-1980-JAN-1-raw.png",
+#         time_stamp=True,
+#     )
+#
+#     assert tasmax_hads_1980_raw.dims["time"] == 31
+#     assert tasmax_hads_1980_raw.dims[HADS_RAW_X_COLUMN_NAME] == 900
+#     assert tasmax_hads_1980_raw.dims[HADS_RAW_Y_COLUMN_NAME] == 1450
+#     reprojected: T_Dataset = hads_resample_and_reproject(
+#         tasmax_hads_1980_raw,
+#         variable_name=variable_name,
+#         cpm_to_match=tasmax_cpm_1980_raw,
+#     )
+#
+#     assert reprojected.rio.crs.to_epsg() == int(BRITISH_NATIONAL_GRID_EPSG[5:])
+#     export_netcdf_path: Path = results_path(
+#         "tasmax-1980-converted", path=output_path, extension="nc"
+#     )
+#     reprojected.to_netcdf(export_netcdf_path)
+#     read_from_export: T_Dataset = open_dataset(export_netcdf_path, decode_coords="all")
+#     plot_xarray(
+#         read_from_export.tasmax[0],
+#         path=output_path / "tasmax-1980-JAN-1-resampled.png",
+#         time_stamp=True,
+#     )
+#     assert_allclose(
+#         read_from_export.tasmax[10][430][200:210], FINAL_HADS_JAN_10_430_X_200_210_Y
+#     )
+#     assert read_from_export.dims["time"] == 31
+#     assert (
+#         read_from_export.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_CPM_WIDTH
+#     )  # replaces projection_x_coordinate
+#     assert (
+#         read_from_export.dims[FINAL_RESAMPLE_LAT_COL] == FINAL_CONVERTED_CPM_HEIGHT
+#     )  # replaces projection_y_coordinate
+#     assert reprojected.rio.crs == read_from_export.rio.crs == BRITISH_NATIONAL_GRID_EPSG
+#     # Check projection coordinates match for CPM and HADs
+#     assert (
+#         reprojected.tasmax.rio.crs
+#         == read_from_export.tasmax.rio.crs
+#         == BRITISH_NATIONAL_GRID_EPSG
+#     )
+#     # Check projection coordinates are set at the variable level
+#     assert all(cpm_to_match.x == read_from_export.x)
+#     assert all(cpm_to_match.y == read_from_export.y)
+#     assert (
+#         read_from_export.spatial_ref.attrs["spatial_ref"]
+#         == cpm_to_match.spatial_ref.attrs["spatial_ref"]
+#     )
 
 
 @pytest.mark.localcache
@@ -843,6 +808,23 @@ def test_execute_resample_configs(
     ).all()
 
 
+#
+# @pytest.mark.localcache
+# @pytest.mark.slow
+# @pytest.mark.mount
+# @pytest.mark.parametrize("skip_reproject", (True, False))
+# def test_set_cpm_for_coord_alignment(
+#     skip_reproject: bool,
+#     tasmax_cpm_1980_raw_path: Path,
+#     tasmax_cpm_1980_converted_path: Path,
+# ) -> None:
+#     """Test using `set_cpm_for_coord_alignment` to manage coord alignment."""
+#     path: Path = tasmax_cpm_1980_converted_path if skip_reproject else tasmax_cpm_1980_raw_path
+#     assert False
+#     test_result: T_Dataset = set_cpm_for_coord_alignment(path, skip_reproject)
+#     assert isinstance(test_result, Dataset)
+
+
 @pytest.mark.localcache
 @pytest.mark.slow
 @pytest.mark.mount
@@ -864,7 +846,7 @@ def test_execute_crop_configs(
     input_path: Path
     crop_path: Path
     manager_kwargs: dict[str, Any] = {}
-    if isinstance(manager, type(HADsResamplerManager)):
+    if manager is HADsResamplerManager:
         input_path = tasmax_hads_1980_raw_path.parent
         crop_path = (
             resample_test_hads_output_path / "manage" / HADS_CROP_OUTPUT_LOCAL_PATH
diff --git a/python/tests/test_utils_xarray.py b/python/tests/test_utils_xarray.py
new file mode 100644
index 00000000..bc4194c3
--- /dev/null
+++ b/python/tests/test_utils_xarray.py
@@ -0,0 +1,659 @@
+import logging
+from datetime import date
+from pathlib import Path
+from typing import Final
+
+import numpy as np
+import pytest
+from numpy.testing import assert_allclose
+from numpy.typing import NDArray
+from osgeo.gdal import Dataset as GDALDataset
+from xarray import Dataset, open_dataset
+from xarray.core.types import T_DataArray, T_Dataset
+
+from clim_recal.resample import (
+    CPM_CROP_OUTPUT_LOCAL_PATH,
+    HADS_CROP_OUTPUT_LOCAL_PATH,
+    CPMResampler,
+    HADsResampler,
+)
+from clim_recal.utils.core import (
+    CLI_DATE_FORMAT_STR,
+    DateType,
+    date_range_generator,
+    results_path,
+)
+from clim_recal.utils.data import (
+    BRITISH_NATIONAL_GRID_EPSG,
+    HadUKGrid,
+    UKCPLocalProjections,
+)
+from clim_recal.utils.gdal_formats import NETCDF_EXTENSION_STR
+from clim_recal.utils.xarray import (
+    FINAL_CONVERTED_CPM_HEIGHT,
+    FINAL_CONVERTED_CPM_WIDTH,
+    FINAL_RESAMPLE_LAT_COL,
+    FINAL_RESAMPLE_LON_COL,
+    HADS_RAW_X_COLUMN_NAME,
+    HADS_RAW_Y_COLUMN_NAME,
+    NETCDF4_XARRAY_ENGINE,
+    ConvertCalendarAlignOptions,
+    convert_xr_calendar,
+    cpm_check_converted,
+    cpm_reproject_with_standard_calendar,
+    cpm_xarray_to_standard_calendar,
+    file_name_to_start_end_dates,
+    get_cpm_for_coord_alignment,
+    hads_resample_and_reproject,
+    plot_xarray,
+)
+
+from .utils import (
+    CPM_RAW_TASMAX_EXAMPLE_PATH,
+    FINAL_CPM_DEC_10_X_2_Y_200_210,
+    xarray_example,
+    year_days_count,
+)
+
+CALENDAR_CONVERTED_CPM_WIDTH: Final[int] = 484
+CALENDAR_CONVERTED_CPM_HEIGHT: Final[int] = 606
+
+PROJECTED_CPM_TASMAX_1980_FIRST_5: Final[NDArray] = np.array(
+    [13.406641, 13.376368, 13.361719, 13.354639, 13.334864], dtype="float32"
+)
+PROJECTED_CPM_TASMAX_1980_DEC_31_FIRST_5: Final[NDArray] = np.array(
+    [10.645899, 10.508448, 10.546778, 10.547998, 10.553614], dtype="float32"
+)
+
+FINAL_HADS_JAN_10_430_X_200_210_Y: Final[NDArray] = np.array(
+    (
+        np.nan,
+        np.nan,
+        np.nan,
+        np.nan,
+        7.57977839,
+        7.47138044,
+        7.27587694,
+        7.27587694,
+        7.07294578,
+        7.04533059,
+    )
+)
+
+
+@pytest.mark.localcache
+@pytest.mark.slow
+@pytest.mark.mount
+@pytest.mark.parametrize("is_path", (True, False))
+@pytest.mark.parametrize("is_converted", (True, False))
+def test_cpm_check_converted(
+    is_path: bool,
+    is_converted: bool,
+    tasmax_cpm_1980_raw_path: Path,
+    tasmax_cpm_1980_raw: T_Dataset,
+    tasmax_cpm_1980_converted_path: Path,
+    tasmax_cpm_1980_converted: T_Dataset,
+) -> None:
+    """Test if `cpm_check_converted` correctly checkes `CPM` converted files."""
+    result: bool
+    if is_converted:
+        result = cpm_check_converted(
+            tasmax_cpm_1980_converted_path if is_path else tasmax_cpm_1980_converted
+        )
+        assert result
+    else:
+        result = cpm_check_converted(
+            tasmax_cpm_1980_raw_path if is_path else tasmax_cpm_1980_raw
+        )
+        assert not result
+
+
+@pytest.mark.localcache
+@pytest.mark.slow
+@pytest.mark.mount
+@pytest.mark.parametrize("skip_reproject", (True, False))
+@pytest.mark.parametrize("is_path", (True, False))
+@pytest.mark.parametrize("is_converted", (True, False))
+def test_get_cpm_for_coord_alignment(
+    skip_reproject: bool,
+    is_path: bool,
+    is_converted: bool,
+    tasmax_cpm_1980_raw: T_Dataset,
+    tasmax_cpm_1980_raw_path: Path,
+    tasmax_cpm_1980_converted_path: Path,
+    tasmax_cpm_1980_converted: T_Dataset,
+    caplog,
+) -> None:
+    """Test using `set_cpm_for_coord_alignment` to manage coord alignment."""
+    with caplog.at_level(logging.INFO):
+        path: Path = (
+            tasmax_cpm_1980_converted_path if is_converted else tasmax_cpm_1980_raw_path
+        )
+        xr_dataset: T_Dataset = (
+            tasmax_cpm_1980_converted if is_converted else tasmax_cpm_1980_raw
+        )
+        converter_dataset: T_Dataset = get_cpm_for_coord_alignment(
+            cpm_for_coord_alignment=path if is_path else xr_dataset,
+            skip_reproject=skip_reproject,
+        )
+    log_tuples: list[tuple[str, int, str]] = caplog.record_tuples
+    if is_path:
+        if skip_reproject:
+            assert "Skipping reprojection and loading" in log_tuples[0][2]
+            assert (
+                "Variable 'tasmax' loaded for coord alignment from" in log_tuples[1][2]
+            )
+        elif is_converted:
+            assert "Converting coordinates of" in log_tuples[0][2]
+            assert "Checking if already converted..." in log_tuples[1][2]
+            assert (
+                "Similar to already converted. Returning unmodified" in log_tuples[2][2]
+            )
+            assert "Coordinates converted from" in log_tuples[3][2]
+        else:
+            assert "Converting coordinates of" in log_tuples[0][2]
+            assert "Checking if already converted..." in log_tuples[1][2]
+            assert "Coordinates converted from" in log_tuples[2][2]
+    elif not skip_reproject:
+        if is_converted:
+            assert (
+                "Converting coordinates of type <class 'xarray.core.dataset.Dataset'> ..."
+                in log_tuples[0][2]
+            )
+            assert "Checking if already converted..." in log_tuples[1][2]
+            assert (
+                "Similar to already converted. Returning unmodified" in log_tuples[2][2]
+            )
+            assert "Coordinates converted to type" in log_tuples[3][2]
+        else:
+            assert "Converting coordinates of type" in log_tuples[0][2]
+            assert "Checking if already converted..." in log_tuples[1][2]
+            assert "Coordinates converted to type" in log_tuples[2][2]
+    else:
+        assert (
+            f"Coordinate converter of type <class 'xarray.core.dataset.Dataset'> "
+            f"loaded without processing."
+        ) in log_tuples[0][2]
+    if skip_reproject and not is_converted:
+        assert isinstance(converter_dataset, Dataset)
+        assert converter_dataset.dims["time"] == 360
+        assert "x" not in converter_dataset.dims
+        assert "y" not in converter_dataset.dims
+    else:
+        assert isinstance(converter_dataset, Dataset)
+        assert converter_dataset.dims["time"] == 365
+        assert converter_dataset.dims["x"] == FINAL_CONVERTED_CPM_WIDTH
+        assert converter_dataset.dims["y"] == FINAL_CONVERTED_CPM_HEIGHT
+
+
+@pytest.mark.slow
+@pytest.mark.localcache
+@pytest.mark.mount
+def test_hads_resample_and_reproject(
+    tasmax_hads_1980_raw: T_Dataset,
+    tasmax_cpm_1980_raw: T_Dataset,
+) -> None:
+    variable_name: str = "tasmax"
+    output_path: Path = Path("tests/runs/reample-hads")
+    # First index is for month, in this case January 1980
+    # The following could be replaced by a cached fixture
+    cpm_to_match: T_Dataset = cpm_reproject_with_standard_calendar(tasmax_cpm_1980_raw)
+    plot_xarray(
+        tasmax_hads_1980_raw.tasmax[0],
+        path=output_path / "tasmas-1980-JAN-1-raw.png",
+        time_stamp=True,
+    )
+
+    assert tasmax_hads_1980_raw.dims["time"] == 31
+    assert tasmax_hads_1980_raw.dims[HADS_RAW_X_COLUMN_NAME] == 900
+    assert tasmax_hads_1980_raw.dims[HADS_RAW_Y_COLUMN_NAME] == 1450
+    reprojected: T_Dataset = hads_resample_and_reproject(
+        tasmax_hads_1980_raw,
+        variable_name=variable_name,
+        cpm_to_match=tasmax_cpm_1980_raw,
+    )
+
+    assert reprojected.rio.crs.to_epsg() == int(BRITISH_NATIONAL_GRID_EPSG[5:])
+    export_netcdf_path: Path = results_path(
+        "tasmax-1980-converted", path=output_path, extension="nc"
+    )
+    reprojected.to_netcdf(export_netcdf_path)
+    read_from_export: T_Dataset = open_dataset(export_netcdf_path, decode_coords="all")
+    plot_xarray(
+        read_from_export.tasmax[0],
+        path=output_path / "tasmax-1980-JAN-1-resampled.png",
+        time_stamp=True,
+    )
+    assert_allclose(
+        read_from_export.tasmax[10][430][200:210], FINAL_HADS_JAN_10_430_X_200_210_Y
+    )
+    assert read_from_export.dims["time"] == 31
+    assert (
+        read_from_export.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_CPM_WIDTH
+    )  # replaces projection_x_coordinate
+    assert (
+        read_from_export.dims[FINAL_RESAMPLE_LAT_COL] == FINAL_CONVERTED_CPM_HEIGHT
+    )  # replaces projection_y_coordinate
+    assert reprojected.rio.crs == read_from_export.rio.crs == BRITISH_NATIONAL_GRID_EPSG
+    # Check projection coordinates match for CPM and HADs
+    assert (
+        reprojected.tasmax.rio.crs
+        == read_from_export.tasmax.rio.crs
+        == BRITISH_NATIONAL_GRID_EPSG
+    )
+    # Check projection coordinates are set at the variable level
+    assert all(cpm_to_match.x == read_from_export.x)
+    assert all(cpm_to_match.y == read_from_export.y)
+    assert (
+        read_from_export.spatial_ref.attrs["spatial_ref"]
+        == cpm_to_match.spatial_ref.attrs["spatial_ref"]
+    )
+
+
+@pytest.mark.slow
+@pytest.mark.mount
+@pytest.mark.parametrize("interpolate_na", (True, False))
+def test_convert_cpm_calendar(interpolate_na: bool) -> None:
+    """Test `convert_calendar` on mounted `cpm` data.
+
+    Notes
+    -----
+    If `interpolate_na` is `True`, there shouldn't be `tasmax` `nan` values, hence
+    creating the `na_values` `bool` as the inverse of `interpolate_na`.
+    """
+    any_na_values_in_tasmax: bool = not interpolate_na
+    raw_nc: T_Dataset = open_dataset(
+        CPM_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all", engine=NETCDF4_XARRAY_ENGINE
+    )
+    assert len(raw_nc.time) == 360
+    assert len(raw_nc.time_bnds) == 360
+    converted: T_Dataset = convert_xr_calendar(raw_nc, interpolate_na=interpolate_na)
+    assert len(converted.time) == 365
+    assert len(converted.time_bnds) == 365
+    assert (
+        np.isnan(converted.tasmax.head()[0][0][0].values).all()
+        == any_na_values_in_tasmax
+    )
+
+
+@pytest.mark.localcache
+@pytest.mark.mount
+@pytest.mark.slow
+@pytest.mark.parametrize("include_bnds_index", (True, False))
+def test_cpm_xarray_to_standard_calendar(
+    tasmax_cpm_1980_raw: T_Dataset,
+    include_bnds_index: bool,
+) -> None:
+    """Test 360 raw to 365/366 calendar conversion.
+
+    Notes
+    -----
+    Indexing differs between `include_bnds_index` ``bool`.
+    ```
+    """
+    CORRECT_PROJ4: Final[str] = (
+        "+proj=ob_tran +o_proj=longlat +o_lon_p=0 +o_lat_p=37.5 +lon_0=357.5 +R=6371229 +no_defs=True"
+    )
+    test_converted = cpm_xarray_to_standard_calendar(
+        tasmax_cpm_1980_raw, include_bnds_index=include_bnds_index
+    )
+    assert test_converted.rio.width == CALENDAR_CONVERTED_CPM_WIDTH
+    assert test_converted.rio.height == CALENDAR_CONVERTED_CPM_HEIGHT
+    assert test_converted.rio.crs.to_proj4() == CORRECT_PROJ4
+    assert test_converted.tasmax.rio.crs.to_proj4() == CORRECT_PROJ4
+    assert len(test_converted.time) == 365
+
+    tasmax_data_subset: NDArray
+    if include_bnds_index:
+        assert len(test_converted.tasmax.data) == 2  # second band
+        assert len(test_converted.tasmax.data[0][0]) == 365  # first band
+        assert len(test_converted.tasmax.data[1][0]) == 365  # second band
+        tasmax_data_subset = test_converted.tasmax.data[0][0]  # first band
+    else:
+        assert len(test_converted.tasmax.data) == 1  # no band index
+        tasmax_data_subset = test_converted.tasmax.data[0]
+    assert len(tasmax_data_subset) == 365
+
+    # By default December 1 in a 360 to 365 projection would
+    # be null. The values matching below should indicate the
+    # projection has interpolated null values on the first date
+    assert (
+        tasmax_data_subset[0][0][:5]
+        == PROJECTED_CPM_TASMAX_1980_FIRST_5
+        # test_converted.tasmax.data[0][0][0][0][:5] == PROJECTED_CPM_TASMAX_1980_FIRST_5
+    ).all()
+    # Check December 31 1980, which wouldn't be included in 360 day calendar
+    assert (
+        # test_converted.tasmax.data[0][0][31][0][:5]
+        tasmax_data_subset[31][0][:5]
+        == PROJECTED_CPM_TASMAX_1980_DEC_31_FIRST_5
+    ).all()
+
+
+@pytest.mark.localcache
+@pytest.mark.mount
+@pytest.mark.slow
+def test_cpm_reproject_with_standard_calendar(
+    tasmax_cpm_1980_raw_path: Path,
+    test_runs_output_path: Path,
+    variable_name: str = "tasmax",
+) -> None:
+    """Test all steps around calendar and warping CPM RAW data."""
+    output_path: Path = results_path(
+        "test-cpm-warp",
+        path=test_runs_output_path,
+        mkdir=True,
+        extension=NETCDF_EXTENSION_STR,
+    )
+    plot_path: Path = output_path.parent / (output_path.stem + ".png")
+    projected: T_Dataset = cpm_reproject_with_standard_calendar(
+        tasmax_cpm_1980_raw_path,
+    )
+    assert projected.rio.crs == BRITISH_NATIONAL_GRID_EPSG
+    projected.to_netcdf(output_path)
+    results: T_Dataset = open_dataset(output_path, decode_coords="all")
+    assert (results.time == projected.time).all()
+    assert results.dims == {
+        FINAL_RESAMPLE_LON_COL: FINAL_CONVERTED_CPM_WIDTH,
+        FINAL_RESAMPLE_LAT_COL: FINAL_CONVERTED_CPM_HEIGHT,
+        "time": 365,
+    }
+    assert results.rio.crs == BRITISH_NATIONAL_GRID_EPSG
+    assert len(results.data_vars) == 1
+    assert_allclose(
+        results[variable_name][10][2][200:210], FINAL_CPM_DEC_10_X_2_Y_200_210
+    )
+    plot_xarray(results.tasmax[0], plot_path, time_stamp=True)
+
+
+@pytest.mark.xfail(reason="test not complete")
+def test_cpm_tif_to_standard_calendar(
+    glasgow_example_cropped_cpm_rainfall_path: Path,
+) -> None:
+    test_converted: tuple[date, ...] = tuple(
+        date_range_generator(
+            *file_name_to_start_end_dates(glasgow_example_cropped_cpm_rainfall_path)
+        )
+    )
+    assert len(test_converted) == 366
+    assert False
+
+
+# @pytest.mark.xfail(reason="not finished writing, will need refactor")
+@pytest.mark.localcache
+@pytest.mark.slow
+@pytest.mark.mount
+@pytest.mark.parametrize("region", ("Glasgow", "Manchester", "London", "Scotland"))
+@pytest.mark.parametrize("data_type", (UKCPLocalProjections, HadUKGrid))
+@pytest.mark.parametrize(
+    # "config", ("direct", "range", "direct_provided", "range_provided")
+    "config",
+    ("direct", "range"),
+)
+def test_crop_xarray(
+    tasmax_cpm_1980_raw_path,
+    tasmax_hads_1980_raw_path,
+    resample_test_cpm_output_path,
+    resample_test_hads_output_path,
+    config: str,
+    data_type: str,
+    region: str,
+):
+    """Test `cropping` `DataArray` to `standard` calendar."""
+    CPM_FIRST_DATES: np.array = np.array(
+        ["19801201", "19801202", "19801203", "19801204", "19801205"]
+    )
+    test_config: CPMResampler | HADsResampler
+    if data_type == HadUKGrid:
+        output_path: Path = resample_test_hads_output_path / config
+        crop_path: Path = (
+            resample_test_hads_output_path / config / HADS_CROP_OUTPUT_LOCAL_PATH
+        )
+
+        test_config = HADsResampler(
+            input_path=tasmax_hads_1980_raw_path.parent,
+            output_path=output_path,
+            crop_path=crop_path,
+        )
+    else:
+        assert data_type == UKCPLocalProjections
+        output_path: Path = resample_test_cpm_output_path / config
+        crop_path: Path = (
+            resample_test_cpm_output_path / config / CPM_CROP_OUTPUT_LOCAL_PATH
+        )
+        test_config = CPMResampler(
+            input_path=tasmax_cpm_1980_raw_path.parent,
+            output_path=output_path,
+            crop_path=crop_path,
+        )
+    paths: list[Path]
+    try:
+        reproject_result: GDALDataset = test_config.to_reprojection()
+    except FileExistsError:
+        test_config._sync_reprojected_paths(overwrite_output_path=output_path)
+
+    match config:
+        case "direct":
+            paths = [test_config.crop_projection(region=region)]
+        case "range":
+            paths = test_config.range_crop_projection(stop=1)
+        # case "direct_provided":
+        #     paths = [
+        #         test_config.to_reprojection(index=0, source_to_index=tuple(test_config))
+        #     ]
+        # case "range_provided":
+        #     paths = test_config.range_to_reprojection(
+        #         stop=1, source_to_index=tuple(test_config)
+        #     )
+    crop: T_Dataset = open_dataset(paths[0])
+    # assert crop.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_CPM_WIDTH
+    # assert_allclose(export.tasmax[10][5][:10].values, FINAL_CPM_DEC_10_5_X_0_10_Y)
+    if data_type == UKCPLocalProjections:
+        assert crop.dims["time"] == 365
+        assert (
+            CPM_FIRST_DATES == crop.time.dt.strftime(CLI_DATE_FORMAT_STR).head().values
+        ).all()
+    plot_xarray(
+        crop.tasmax[0],
+        path=crop_path / region / f"config-{config}.png",
+        time_stamp=True,
+    )
+
+
+def test_leap_year_days() -> None:
+    """Test covering a leap year of 366 days."""
+    start_date_str: str = "2024-03-01"
+    end_date_str: str = "2025-03-01"
+    xarray_2024_2025: T_DataArray = xarray_example(
+        start_date=start_date_str,
+        end_date=end_date_str,
+        inclusive=True,
+    )
+    assert len(xarray_2024_2025) == year_days_count(leap_years=1)
+
+
+# This is roughly what I had in mind for
+# https://github.com/alan-turing-institute/clim-recal/issues/132
+# This tests converting from a standard calendar to a 360_day calendar.
+@pytest.mark.parametrize(
+    # Only one of start_date and end_date are included the day counts
+    "start_date, end_date, gen_date_count, days_360, converted_days, align_on",
+    [
+        pytest.param(
+            # 4 years, including a leap year
+            "2024-03-02",
+            "2028-03-02",
+            year_days_count(standard_years=3, leap_years=1),
+            year_days_count(xarray_360_day_years=4),
+            year_days_count(standard_years=3, leap_years=1),
+            "year",
+            id="years_4_annual_align",
+        ),
+        pytest.param(
+            # A whole year, most of which is in a leap year, but avoids the leap day
+            "2024-03-02",
+            "2025-03-02",
+            year_days_count(standard_years=1),
+            year_days_count(xarray_360_day_years=1) - 1,
+            year_days_count(standard_years=1),
+            "year",
+            id="leap_year_but_no_leap_day_annual_align",
+        ),
+        pytest.param(
+            # A whole year, the same date range as the previous test,
+            # but includes the leap day and the majority of the days are in a non-leap year
+            # Note: the current final export configuration *adds* a day
+            "2023-03-02",
+            "2024-03-02",
+            year_days_count(leap_years=1),
+            year_days_count(xarray_360_day_years=1) + 1,
+            year_days_count(leap_years=1) + 1,
+            "year",
+            id="leap_year_with_leap_day_annual_align",
+        ),
+        pytest.param(
+            # An exact calendar year which *IS NOT* a leap year
+            "2023-01-01",
+            "2024-01-01",
+            year_days_count(standard_years=1),
+            year_days_count(xarray_360_day_years=1),
+            year_days_count(standard_years=1),
+            "year",
+            id="non_leap_year_annual_align",
+        ),
+        pytest.param(
+            # A leap day (just the days either side, in a leap year)
+            "2024-02-28",
+            "2024-03-01",
+            2,
+            2,
+            2,
+            "year",
+            id="leap_day",
+        ),
+        pytest.param(
+            # A non-leap day (just the days either side, in a non-leap year)
+            "2023-02-28",
+            "2023-03-01",
+            1,
+            1,
+            1,
+            "year",
+            id="non_leap_day_date_align",
+        ),
+        # Add more test cases to cover the different scenarios and edge cases
+        pytest.param(
+            # 4 years, including a leap year
+            # WARNING: the intermittent year days seems a week short
+            "2024-03-02",
+            "2028-03-02",
+            year_days_count(standard_years=3, leap_years=1),
+            year_days_count(xarray_360_day_years=4) - 7,
+            year_days_count(standard_years=3, leap_years=1),
+            "date",
+            id="years_4_date_align",
+            marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
+        ),
+        pytest.param(
+            # A whole year, most of which is in a leap year, but avoids the leap day
+            "2024-03-02",
+            "2025-03-02",
+            year_days_count(standard_years=1),
+            year_days_count(xarray_360_day_years=1) - 2,
+            year_days_count(standard_years=1),
+            "date",
+            id="leap_year_but_no_leap_day_date_align",
+            marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
+        ),
+        pytest.param(
+            # A whole year, the same date range as the previous test,
+            # but includes the leap day and the majority of the days are in a non-leap year
+            # Note: the current final export configuration *adds* a day
+            "2023-03-02",
+            "2024-03-02",
+            year_days_count(leap_years=1),
+            year_days_count(xarray_360_day_years=1) - 1,
+            year_days_count(leap_years=1) + 1,
+            "date",
+            id="leap_year_with_leap_day_date_align",
+            marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
+        ),
+        pytest.param(
+            # An exact calendar year which *IS NOT* a leap year
+            "2023-01-01",
+            "2024-01-01",
+            year_days_count(standard_years=1),
+            year_days_count(xarray_360_day_years=1) - 2,
+            year_days_count(standard_years=1),
+            "date",
+            id="non_leap_year_date_align",
+            marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
+        ),
+        pytest.param(
+            # A leap day (just the days either side, in a leap year)
+            "2024-02-28",
+            "2024-03-01",
+            2,
+            2,
+            2,
+            "date",
+            id="leap_day",
+        ),
+        pytest.param(
+            # A non-leap day (just the days either side, in a non-leap year)
+            "2023-02-28",
+            "2023-03-01",
+            1,
+            1,
+            1,
+            "date",
+            id="non_leap_day_date_align",
+        ),
+    ],
+)
+def test_time_gaps_360_to_standard_calendar(
+    start_date: DateType,
+    end_date: DateType,
+    gen_date_count: int,
+    days_360: int,
+    converted_days: int,
+    align_on: ConvertCalendarAlignOptions,
+):
+    """Test `convert_xr_calendar` call of `360_day` `DataArray` to `standard` calendar."""
+    # Potential paramaterized variables
+    inclusive_date_range: bool = False  # includes the last day specified
+    use_cftime: bool = True  # Whether to enforece using `cftime` over `datetime64`
+    # align_on: ConvertCalendarAlignOptions = 'date'
+
+    # Create a base
+    base: T_Dataset = xarray_example(
+        start_date, end_date, as_dataset=True, inclusive=inclusive_date_range
+    )
+
+    # Ensure the generated date range matches for later checks
+    # This occurs for a sigle leap year
+    assert len(base.time) == gen_date_count
+
+    # Convert to `360_day` calendar example
+    dates_360: T_Dataset = base.convert_calendar(
+        calendar="360_day",
+        align_on=align_on,
+        use_cftime=use_cftime,
+    )
+
+    # Check the total number of days are as expected
+    assert len(dates_360.time) == days_360
+
+    if converted_days < 5:
+        with pytest.raises(ValueError):
+            convert_xr_calendar(dates_360, align_on=align_on, use_cftime=use_cftime)
+    else:
+        dates_converted: T_Dataset = convert_xr_calendar(
+            dates_360, align_on=align_on, use_cftime=use_cftime
+        )
+        assert len(dates_converted.time) == converted_days
+
+        # Optionally now check which dates have been dropped and added
+        # Add more assertions here...
+        assert all(base.time == dates_converted.time)
+        assert all(base.time != dates_360.time)
diff --git a/python/tests/utils.py b/python/tests/utils.py
index 0484b893..3cd30337 100644
--- a/python/tests/utils.py
+++ b/python/tests/utils.py
@@ -8,7 +8,8 @@
 from typing import Any, Awaitable, Callable, Final, Iterable, Sequence, TypedDict
 
 import sysrsync
-from numpy import array, random
+from numpy import array, nan, random
+from numpy.typing import NDArray
 from pandas import to_datetime
 from xarray import DataArray
 from xarray.core.types import T_DataArray, T_DataArrayOrSet
@@ -47,6 +48,24 @@
 
 logger = getLogger(__name__)
 
+FINAL_CONVERTED_HADS_WIDTH: Final[int] = 410
+FINAL_CONVERTED_HADS_HEIGHT: Final[int] = 660
+
+FINAL_CPM_DEC_10_X_2_Y_200_210: Final[NDArray] = array(
+    (
+        nan,
+        nan,
+        9.637598,
+        9.646631,
+        9.636621,
+        9.622217,
+        9.625147,
+        9.640039,
+        9.6349125,
+        9.509668,
+    )
+)
+
 HADS_UK_TASMAX_DAY_SERVER_PATH: Final[Path] = Path("Raw/HadsUKgrid/tasmax/day")
 HADS_UK_RESAMPLED_DAY_SERVER_PATH: Final[Path] = Path(
     "Processed/HadsUKgrid/resampled_2.2km/tasmax/day"

From cbb9fae990420843fdc90f1c9239d4aee0c00f3a Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 8 Sep 2024 19:19:17 +0100
Subject: [PATCH 84/92] fix: set `ClimRecalConfig` default
 `cpm_for_coord_alignment` to `self.cpm_input_path`

---
 python/clim_recal/config.py       | 22 +++++++++++++++++++++-
 python/clim_recal/utils/xarray.py | 14 +++++++-------
 2 files changed, 28 insertions(+), 8 deletions(-)

diff --git a/python/clim_recal/config.py b/python/clim_recal/config.py
index 6c89629d..0d344da7 100644
--- a/python/clim_recal/config.py
+++ b/python/clim_recal/config.py
@@ -17,7 +17,7 @@
     CPMResamplerManager,
     HADsResamplerManager,
 )
-from .utils.core import product_dict, results_path
+from .utils.core import console, product_dict, results_path
 from .utils.data import MethodOptions, RegionOptions, RunOptions, VariableOptions
 
 warnings.filterwarnings("ignore", category=TqdmExperimentalWarning)
@@ -232,6 +232,7 @@ def __post_init__(self) -> None:
             stop_index=self.stop_index,
             **self.cpm_kwargs,
         )
+        self.set_cpm_for_coord_alignment()
         # if self.process_cmp_for_coord_alignment:
         #     self.set_cpm_for_coord_alignment()
         self.hads_manager = HADsResamplerManager(
@@ -249,6 +250,25 @@ def __post_init__(self) -> None:
         if self.cpus == None or (self.total_cpus and self.cpus >= self.total_cpus):
             self.cpus = 1 if not self.total_cpus else self.total_cpus - 1
 
+    def set_cpm_for_coord_alignment(self) -> None:
+        """If `cpm_for_coord_alignment` is `None` use `self.cpm_input_path`.
+
+        It would be more efficient to use `self.resample_cpm_path` as
+        long as that option is used, but support cases of only
+        """
+        if not self.cpm_for_coord_alignment:
+            if self.cpm_input_path:
+                console.info(
+                    "'set_cpm_for_coord_alignment' for 'HADs' not speficied.\n"
+                    f"Defaulting to 'self.cpm_input_path': '{self.cpm_input_path}'"
+                )
+                self.cpm_for_coord_alignment = self.cpm_input_path
+            else:
+                raise ValueError(
+                    f"Neither required 'self.cpm_for_coord_alignment' nor backup "
+                    f"'self.cpm_input_path' provided for {self}"
+                )
+
     # def set_cpm_for_coord_alignment(self) -> None:
     #     """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
     #     self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index e0c56cd1..3e36fe9a 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -210,19 +210,19 @@ def cpm_check_converted(cpm_xr_time_series: T_Dataset | PathLike) -> bool:
     -------
     `True` if all of the methics are `True`, else `False`
     """
-    cpm_xr_time_series, variable = check_xarray_path_and_var_name(
+    cpm_xr_time_series, _ = check_xarray_path_and_var_name(
         xr_time_series=cpm_xr_time_series, variable_name=None
     )
     checks_dict: dict[str, bool] = {}
-    if "time" in cpm_xr_time_series.dims:
-        checks_dict["time-365-or-366"] = cpm_xr_time_series.dims["time"] in (365, 366)
-    if "x" in cpm_xr_time_series.dims:
+    if "time" in cpm_xr_time_series.sizes:
+        checks_dict["time-365-or-366"] = cpm_xr_time_series.sizes["time"] in (365, 366)
+    if "x" in cpm_xr_time_series.sizes:
         checks_dict["x-final-coords"] = (
-            cpm_xr_time_series.dims["x"] == FINAL_CONVERTED_CPM_WIDTH
+            cpm_xr_time_series.sizes["x"] == FINAL_CONVERTED_CPM_WIDTH
         )
-    if "y" in cpm_xr_time_series.dims:
+    if "y" in cpm_xr_time_series.sizes:
         checks_dict["y-final-coords"] = (
-            cpm_xr_time_series.dims["y"] == FINAL_CONVERTED_CPM_HEIGHT
+            cpm_xr_time_series.sizes["y"] == FINAL_CONVERTED_CPM_HEIGHT
         )
     if all(checks_dict.values()):
         return True

From 1da989ec6686078dbae56f3944f5bc76757ae707 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 8 Sep 2024 19:21:53 +0100
Subject: [PATCH 85/92] fix: `console` `info` -> `print`

---
 python/clim_recal/config.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/clim_recal/config.py b/python/clim_recal/config.py
index 0d344da7..2761d2dc 100644
--- a/python/clim_recal/config.py
+++ b/python/clim_recal/config.py
@@ -258,7 +258,7 @@ def set_cpm_for_coord_alignment(self) -> None:
         """
         if not self.cpm_for_coord_alignment:
             if self.cpm_input_path:
-                console.info(
+                console.print(
                     "'set_cpm_for_coord_alignment' for 'HADs' not speficied.\n"
                     f"Defaulting to 'self.cpm_input_path': '{self.cpm_input_path}'"
                 )

From 98b95555cc7645125ef457f3fb4ab98ff6bbdd46 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 8 Sep 2024 20:29:07 +0100
Subject: [PATCH 86/92] fix: expand `CPM_REGEX` to cover sub folders

---
 python/clim_recal/utils/xarray.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 3e36fe9a..4d5baa22 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -77,7 +77,7 @@
 GLASGOW_GEOM_ABSOLUTE_PATH: Final[Path] = (
     climate_data_mount_path() / GLASGOW_GEOM_LOCAL_PATH
 )
-CPM_REGEX: Final[str] = "[!.]*cpm*.nc"
+CPM_REGEX: Final[str] = "**/[!.]*cpm*.nc"
 HADS_MIN_NULL: float = -1000000
 
 FINAL_CONVERTED_CPM_WIDTH: Final[int] = 493

From 9acf27d3d6a1d897c01d2d1f3ef110fb8981afd7 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 8 Sep 2024 20:58:17 +0100
Subject: [PATCH 87/92] fix: `hads_regions` -> `crop_regions` in `pipeline.py`

---
 python/clim_recal/pipeline.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/clim_recal/pipeline.py b/python/clim_recal/pipeline.py
index d5959398..1e15368b 100644
--- a/python/clim_recal/pipeline.py
+++ b/python/clim_recal/pipeline.py
@@ -308,7 +308,7 @@ def main(
                     )
                 )
                 print(region_cropped_cpm_resamples[:print_range_length])
-            if not hads_regions:
+            if not crop_hads:
                 print("Skipping cropping HADS 2.2km projections.")
             else:
                 print(

From 04954a97de5bce16d8b08a6093a478b319380a59 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Sun, 8 Sep 2024 22:17:23 +0100
Subject: [PATCH 88/92] fix: add `hads` and `cpm` to `crop` paths

---
 python/clim_recal/resample.py | 41 ++++++++++++++++++-----------------
 1 file changed, 21 insertions(+), 20 deletions(-)

diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index 1323d025..c728ad6b 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -816,25 +816,6 @@ def _gen_resample_folder_paths(
                 self._resampled_path_dict[resample_path] = var
             yield input_path, resample_path
 
-    def _gen_crop_folder_paths(
-        self, path: PathLike, append_cropped_path_dict: bool = False
-    ) -> Iterator[Path | None]:
-        """Return a Generator of paths of `self.variables` and `self.crops`."""
-        if not self.crop_regions:
-            return None
-        if not self._resampled_path_dict:
-            self._gen_resample_folder_paths(
-                self.input_paths,
-                append_input_path_dict=True,
-                append_resampled_path_dict=True,
-            )
-        for var in self.variables:
-            for region in self.crop_regions:
-                crop_path = Path(path) / var / region
-                if append_cropped_path_dict:
-                    self._cropped_path_dict[crop_path] = region
-                yield crop_path
-
     def check_paths(
         self, run_set_data_paths: bool = True, run_set_crop_paths: bool = True
     ):
@@ -1127,6 +1108,25 @@ def __repr__(self) -> str:
             f"input_paths_count={len(self.input_paths) if isinstance(self.input_paths, Sequence) else 1})>"
         )
 
+    def _gen_crop_folder_paths(
+        self, path: PathLike, append_cropped_path_dict: bool = False
+    ) -> Iterator[Path | None]:
+        """Return a Generator of paths of `self.variables` and `self.crops`."""
+        if not self.crop_regions:
+            return None
+        if not self._resampled_path_dict:
+            self._gen_resample_folder_paths(
+                self.input_paths,
+                append_input_path_dict=True,
+                append_resampled_path_dict=True,
+            )
+        for var in self.variables:
+            for region in self.crop_regions:
+                crop_path = Path(path) / "hads" / var / region
+                if append_cropped_path_dict:
+                    self._cropped_path_dict[crop_path] = region
+                yield crop_path
+
     # def __post_init__(self) -> None:
     #     """Ensure `self.cpm_for_coord_alignment` is set."""
     #     super().__post_init__()
@@ -1302,12 +1302,13 @@ def _gen_crop_folder_paths(
                     if cpm_paths:
                         crop_path: Path = (
                             Path(path)
+                            / "cpm"
                             / VariableOptions.cpm_value(var)
                             / region
                             / run_type
                         )
                     else:
-                        crop_path: Path = Path(path) / var / region / run_type
+                        crop_path: Path = Path(path) / "cpm" / var / region / run_type
                     if append_cropped_path_dict:
                         self._cropped_path_dict[crop_path] = region
                     yield crop_path

From 1f7ee1d073505e3e807a45b65bcfe9dd142fe619 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 10 Sep 2024 01:05:03 +0100
Subject: [PATCH 89/92] fix: add
 `cpm_for_coord_alignment=tasmax_cpm_1980_converted_path` for local tests

---
 python/conftest.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/python/conftest.py b/python/conftest.py
index ab675a14..8dc43b1b 100644
--- a/python/conftest.py
+++ b/python/conftest.py
@@ -426,7 +426,7 @@ def clim_runner(
     test_runs_output_path: PathLike,
     local_hads_cache_path: PathLike,
     local_cpm_cache_path: PathLike,
-    # tasmax_cpm_1980_converted_path: PathLike,
+    tasmax_cpm_1980_converted_path: PathLike,
 ) -> ClimRecalConfig:
     """Return default `ClimRecalConfig`."""
     assert local_cache_fixtures.default_local_cache_path
@@ -454,7 +454,7 @@ def clim_runner(
             # Todo: refactor to use caching to speed up runs
             cpm_kwargs=dict(_allow_check_fail=True),
             hads_kwargs=dict(_allow_check_fail=True),
-            # cpm_for_coord_alignment=tasmax_cpm_1980_converted_path,
+            cpm_for_coord_alignment=tasmax_cpm_1980_converted_path,
         )
 
 

From 3ede18b4b7c8633edcc30922005dc733fa6a9e66 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 10 Sep 2024 01:16:00 +0100
Subject: [PATCH 90/92] fix: `pipeline.main` `doctest`

---
 python/clim_recal/pipeline.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/python/clim_recal/pipeline.py b/python/clim_recal/pipeline.py
index 1e15368b..d8a852b6 100644
--- a/python/clim_recal/pipeline.py
+++ b/python/clim_recal/pipeline.py
@@ -222,6 +222,8 @@ def main(
     ...      cpm_kwargs=dict(_allow_check_fail=True),
     ...      hads_kwargs=dict(_allow_check_fail=True),
     ... )
+    'set_cpm_for_coord_alignment' for 'HADs' not speficied.
+    Defaulting to 'self.cpm_input_path': '...'
     clim-recal pipeline configurations:
     <ClimRecalConfig(variables_count=2, runs_count=1,
                      regions_count=1, methods_count=1,

From 274963389e19393cb3ee8c2e3bd3d02f78ea75f1 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 10 Sep 2024 02:01:24 +0100
Subject: [PATCH 91/92] chore: remove large commented blocks

---
 python/clim_recal/config.py       |   9 -
 python/clim_recal/pipeline.py     |   4 +-
 python/clim_recal/resample.py     | 196 +--------
 python/clim_recal/utils/data.py   |   3 -
 python/clim_recal/utils/xarray.py | 157 +-------
 python/tests/test_resample.py     | 641 ------------------------------
 6 files changed, 13 insertions(+), 997 deletions(-)

diff --git a/python/clim_recal/config.py b/python/clim_recal/config.py
index 2761d2dc..34a140b8 100644
--- a/python/clim_recal/config.py
+++ b/python/clim_recal/config.py
@@ -233,8 +233,6 @@ def __post_init__(self) -> None:
             **self.cpm_kwargs,
         )
         self.set_cpm_for_coord_alignment()
-        # if self.process_cmp_for_coord_alignment:
-        #     self.set_cpm_for_coord_alignment()
         self.hads_manager = HADsResamplerManager(
             input_paths=self.hads_input_path,
             variables=self.variables,
@@ -269,13 +267,6 @@ def set_cpm_for_coord_alignment(self) -> None:
                     f"'self.cpm_input_path' provided for {self}"
                 )
 
-    # def set_cpm_for_coord_alignment(self) -> None:
-    #     """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
-    #     self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
-    #         self.cpm_for_coord_alignment,
-    #         skip_reproject=self.cpm_for_coord_alignment_path_converted,
-    #     )
-
     def __repr__(self) -> str:
         """Summary of `self` configuration as a `str`."""
         return (
diff --git a/python/clim_recal/pipeline.py b/python/clim_recal/pipeline.py
index d8a852b6..f22dfcd6 100644
--- a/python/clim_recal/pipeline.py
+++ b/python/clim_recal/pipeline.py
@@ -49,7 +49,7 @@
 - [x] Ensure HADs still works
 - [x] Add function for UKCP
 - [x] Check `convert_xr_calendar` `doctest` examples
-- [ ] Fix order of UKCP changes
+- [x] Fix order of UKCP changes
 
 To run this step in the pipeline the following should work
 for the default combindations of `variables`: `tasmax`,
@@ -324,5 +324,3 @@ def main(
                 print(region_cropped_hads_resamples[:print_range_length])
     else:
         print("No steps run. Add '--execute' to run steps.")
-
-    # config.cpm.resample_multiprocessing()
diff --git a/python/clim_recal/resample.py b/python/clim_recal/resample.py
index c728ad6b..40867c43 100644
--- a/python/clim_recal/resample.py
+++ b/python/clim_recal/resample.py
@@ -85,7 +85,6 @@
 ResamplingCallable = Callable[[list | tuple], int]
 CPM_STANDARD_CALENDAR_PATH: Final[Path] = Path("cpm-standard-calendar")
 CPM_SPATIAL_COORDS_PATH: Final[Path] = Path("cpm-to-27700-spatial")
-# HADS_2_2K_RESOLUTION_PATH: Final[Path] = Path("hads-to-27700-spatial-2.2km")
 
 CPM_OUTPUT_LOCAL_PATH: Final[Path] = Path("cpm")
 HADS_OUTPUT_LOCAL_PATH: Final[Path] = Path("hads")
@@ -113,18 +112,13 @@ class ResamblerBase:
     input_path: PathLike | None = Path()
     output_path: PathLike = RESAMPLING_OUTPUT_PATH
     variable_name: VariableOptions | str = VariableOptions.default()
-    # grid: PathLike | T_Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
     input_files: Iterable[PathLike] | None = None
     cpus: int | None = None
-    # crop_regions: tuple[RegionOptions | str, ...] | None = RegionOptions.all()
     crop_region: RegionOptions | str | None = RegionOptions.GLASGOW
     crop_path: PathLike = RESAMPLING_OUTPUT_PATH
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG
-    # grid_x_column_name: str = HADS_XDIM
-    # grid_y_column_name: str = HADS_YDIM
     input_file_extension: NETCDF_OR_TIF = NETCDF_EXTENSION_STR
     export_file_extension: NETCDF_OR_TIF = NETCDF_EXTENSION_STR
-    # resolution_relative_path: Path = HADS_2_2K_RESOLUTION_PATH
     input_file_x_column_name: str = ""
     input_file_y_column_name: str = ""
     start_index: int = 0
@@ -138,11 +132,8 @@ def __post_init__(self) -> None:
             raise AttributeError(
                 f"'input_path' or 'input_file' are None; at least one must be set."
             )
-        # self.set_grid_x_y()
         self.set_input_files()
         Path(self.output_path).mkdir(parents=True, exist_ok=True)
-        # if self.crop_regions:
-        #     Path(self.crop_path).mkdir(parents=True, exist_ok=True)
         if self.crop_region:
             Path(self.crop_path).mkdir(parents=True, exist_ok=True)
         self.total_cpus: int | None = cpu_count()
@@ -202,25 +193,6 @@ def __repr__(self) -> str:
             f"output_path='{self.output_path}')>"
         )
 
-    # def set_grid(self, new_grid_data_path: PathLike | None = None) -> None:
-    #     """Set check and set (if necessary) `grid` attribute of `self`.
-    #
-    #     Notes
-    #     -----
-    #     To be depricated.
-    #
-    #     Parameters
-    #     ----------
-    #     new_grid_data_path
-    #         New `Path` to load to `self.grid`.
-    #     """
-    #     if new_grid_data_path:
-    #         self.grid = new_grid_data_path
-    #     if isinstance(self.grid, PathLike):
-    #         self._grid_path = Path(self.grid)
-    #         self.grid = open_dataset(self.grid)
-    #     assert isinstance(self.grid, Dataset)
-
     def _get_source_path(
         self, index: int, source_to_index: Sequence | None = None
     ) -> Path:
@@ -282,30 +254,6 @@ def range_to_reprojection(
             source_to_index=source_to_index,
         )
 
-    # def set_grid_x_y(
-    #     self,
-    #     grid_x_column_name: str | None = None,
-    #     grid_y_column_name: str | None = None,
-    # ) -> None:
-    #     """Set the `x` `y` values via `grid_x_column_name` and `grid_y_column_name`.
-    #
-    #     Parameters
-    #     ----------
-    #     grid_x_column_name
-    #         Name of column in `self.grid` `Dataset` to extract to `self.x`.
-    #         If `None` use `self.grid_x_column_name`, else overwrite.
-    #     grid_y_column_name
-    #         Name of column in `self.grid` `Dataset` to extract to `self.y`.
-    #         If `None` use `self.grid_y_column_name`, else overwrite.
-    #     """
-    #     if self.grid is None or isinstance(self.grid, PathLike):
-    #         self.set_grid()
-    #     assert isinstance(self.grid, Dataset)
-    #     self.grid_x_column_name = grid_x_column_name or self.grid_x_column_name
-    #     self.grid_y_column_name = grid_y_column_name or self.grid_y_column_name
-    #     self.x: NDArray = self.grid[self.grid_x_column_name][:].values
-    #     self.y: NDArray = self.grid[self.grid_y_column_name][:].values
-
     def execute(self, skip_spatial: bool = False, **kwargs) -> list[Path] | None:
         """Run all steps for processing"""
         return self.range_to_reprojection(**kwargs) if not skip_spatial else None
@@ -330,8 +278,6 @@ def _sync_reprojected_paths(
 
     def range_crop_projection(
         self,
-        # regions: Iterable[str] | None = None,
-        # regions: Iterable[str] | None = None,
         start: int | None = None,
         stop: int | None = None,
         step: int = 1,
@@ -339,18 +285,11 @@ def range_crop_projection(
         return_results: bool = False,
         **kwargs,
     ) -> list[Path]:
-        # regions = regions or self.crop_regions
         start = start or self.start_index
         stop = stop or self.stop_index
         export_paths: list[Path | T_Dataset] = []
         if stop is None:
             stop = len(self)
-        # try:
-        #     assert regions
-        # except:
-        #     raise ValueError(f"Iterable 'regions' must be set.")
-        # for region in regions:
-        # console.print(f"Cropping to '{region}' from {self}...")
         console.print(f"Cropping to '{self.crop_path}'")
         for index in trange(start, stop, step):
             export_paths.append(
@@ -366,7 +305,6 @@ def range_crop_projection(
 
     def crop_projection(
         self,
-        # region: str,
         index: int = 0,
         override_export_path: Path | None = None,
         return_results: bool = False,
@@ -385,13 +323,6 @@ def crop_projection(
                     "Run after 'self.to_reprojection()' or set as a "
                     "list directly."
                 )
-        # try:
-        #     assert region and region in self.crop_regions
-        # except AttributeError:
-        #     raise IndexError(f"'{region}' not in 'crop_regions': '{self.crop_regions}'")
-        # try:
-        #     assert self.crop_region         except AttributeError:
-        #     raise IndexError(f"'{region}' not in 'crop_regions': '{self.crop_regions}'")
         try:
             assert self.crop_region in RegionOptions
         except AttributeError:
@@ -407,7 +338,6 @@ def crop_projection(
             crop_box=RegionOptions.bounding_box(self.crop_region),
             **kwargs,
         )
-        # cropped_file_name: str = "crop_" + str(self.crop_region) + "-" + resampled_xr.name
         cropped_file_name: str = region_crop_file_name(
             self.crop_region, resampled_xr.name
         )
@@ -415,22 +345,12 @@ def crop_projection(
         cropped.to_netcdf(export_path)
         if not hasattr(self, "_cropped_paths"):
             self._cropped_paths: list[PathLike] = []
-        #     self._cropped_paths: dict[str, list[PathLike]] = {}
-        # if region not in self._cropped_paths:
-        #     self._cropped_paths[region] = []
-        # self._cropped_paths[region].append(export_path)
         self._cropped_paths.append(export_path)
         if return_results:
             return cropped
         else:
             return export_path
 
-    # def execute_crop(self, **kwargs) -> list[Path] | None:
-    #     """Run crop for related reprojections."""
-    #     if not self.output_path or not Path(self.output_path).exists():
-    #         raise ValueError(f"Output path {self.output_path} required to crop.")
-    #     else:
-
 
 @dataclass(kw_only=True, repr=False)
 class HADsResampler(ResamblerBase):
@@ -494,31 +414,18 @@ class HADsResampler(ResamblerBase):
 
     input_path: PathLike | None = RAW_HADS_TASMAX_PATH
     output_path: PathLike = RESAMPLING_OUTPUT_PATH / HADS_OUTPUT_LOCAL_PATH
-    # variable_name: VariableOptions = VariableOptions.default()
-    # grid: PathLike | T_Dataset = DEFAULT_RELATIVE_GRID_DATA_PATH
     input_files: Iterable[PathLike] | None = None
 
-    # input_path: PathLike | None = RAW_HADS_TASMAX_PATH
     cpus: int | None = None
     crop_path: PathLike = RESAMPLING_OUTPUT_PATH / HADS_CROP_OUTPUT_LOCAL_PATH
     final_crs: str = BRITISH_NATIONAL_GRID_EPSG
-    # grid_x_column_name: str = HADS_XDIM
-    # grid_y_column_name: str = HADS_YDIM
     input_file_extension: NETCDF_OR_TIF = NETCDF_EXTENSION_STR
     export_file_extension: NETCDF_OR_TIF = NETCDF_EXTENSION_STR
-    # resolution_relative_path: Path = HADS_2_2K_RESOLUTION_PATH
     input_file_x_column_name: str = HADS_XDIM
     input_file_y_column_name: str = HADS_YDIM
     cpm_for_coord_alignment: T_Dataset | PathLike | None = RAW_CPM_TASMAX_PATH
     cpm_for_coord_alignment_path_converted: bool = False
     _resample_func: ReprojectFuncType = hads_resample_and_reproject
-    # _use_reference_grid: bool = True
-
-    # def __post_init__(self) -> None:
-    #     """Ensure `self.cpm_for_coord_alignment` is set."""
-    #     super().__post_init__()
-    #     # self.set_cpm_for_coord_alignment()
-    #     # cpm_match_variable_name: str = self.cpm_for_coord_alignment
 
     def set_cpm_for_coord_alignment(self) -> None:
         """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
@@ -526,48 +433,11 @@ def set_cpm_for_coord_alignment(self) -> None:
             self.cpm_for_coord_alignment,
             skip_reproject=self.cpm_for_coord_alignment_path_converted,
         )
-        # if self.cpm_for_coord_alignment_path_converted:
-        #     if isinstance(self.cpm_for_coord_alignment, Dataset):
-        #         logger.info("Using 'self.cpm_for_coord_alignment'...")
-        #     elif isinstance(self.cpm_for_coord_alignment, PathLike):
-        #         logger.info(
-        #             f"Loading 'self.cpm_for_coord_alignment' from "
-        #             f"'{self.cpm_for_coord_alignment}'..."
-        #         )
-        #         self.cpm_for_coord_alignment, _ = check_xarray_path_and_var_name(
-        #             self.cpm_for_coord_alignment, None
-        #         )
-        #     else:
-        #         raise ValueError(
-        #             f"Type of 'cpm_for_coord_alingment' not valid for {self}"
-        #         )
-        # else:
-        #     self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
-        #         self.cpm_for_coord_alignment
-        #     )
-
-        # if isinstance(self.cpm_for_coord_alignment, PathLike):
-        #     if Path(self.cpm_for_coord_alignment).is_dir():
-        #         self.cpm_for_coord_alignment = next(
-        #             Path(self.cpm_for_coord_alignment).glob("t*.nc")
-        #         )
-        #     self.cpm_for_coord_alignment = cpm_reproject_with_standard_calendar(
-        #         self.cpm_for_coord_alignment
-        #     )
-        #     logger.info(
-        #         f"Set 'self.cpm_for_coord_alignment' to: '{self.cpm_for_coord_alignment}'"
-        #     )
-        # try:
-        #     assert isinstance(self.cpm_for_coord_alignment, Dataset)
-        # except AssertionError:
-        #     raise AttributeError(
-        #         f"'cpm_for_coord_alignment' must be a 'Dataset'. "
-        #         f"Currently a {type(self.cpm_for_coord_alignment)} in {self}.")
 
     def to_reprojection(
         self,
         index: int = 0,
-        override_export_path: Path | None = None,
+        # override_export_path: Path | None = None,
         return_results: bool = False,
         source_to_index: Sequence | None = None,
     ) -> Path | T_Dataset:
@@ -576,12 +446,8 @@ def to_reprojection(
         )
         path: PathLike = self.output_path
         self.set_cpm_for_coord_alignment()
-        # path: PathLike = self._output_path(
-        #     self.resolution_relative_path, override_export_path
-        # )
         return apply_geo_func(
             source_path=source_path,
-            # func=interpolate_coords,
             func=self._resample_func,
             export_folder=path,
             # Leaving in case we return to using warp
@@ -592,11 +458,6 @@ def to_reprojection(
             x_dim_name=self.input_file_x_column_name,
             y_dim_name=self.input_file_y_column_name,
             cpm_to_match=self.cpm_for_coord_alignment,
-            # x_grid=self.x,
-            # y_grid=self.y,
-            # source_x_coord_column_name=self.input_file_x_column_name,
-            # source_y_coord_column_name=self.input_file_y_column_name,
-            # use_reference_grid=self._use_reference_grid,
             new_path_name_func=reproject_2_2km_filename,
             return_results=return_results,
         )
@@ -655,10 +516,8 @@ class CPMResampler(ResamblerBase):
     input_path: PathLike | None = RAW_CPM_TASMAX_PATH
     output_path: PathLike = RESAMPLING_OUTPUT_PATH / CPM_OUTPUT_LOCAL_PATH
     crop_path: PathLike = RESAMPLING_OUTPUT_PATH / CPM_CROP_OUTPUT_LOCAL_PATH
-    # standard_calendar_relative_path: Path = CPM_STANDARD_CALENDAR_PATH
     input_file_x_column_name: str = CPM_RAW_X_COLUMN_NAME
     input_file_y_column_name: str = CPM_RAW_Y_COLUMN_NAME
-    # resolution_relative_path: Path = CPM_SPATIAL_COORDS_PATH
     _resample_func: ReprojectFuncType = cpm_reproject_with_standard_calendar
 
     @property
@@ -668,7 +527,7 @@ def cpm_variable_name(self) -> str:
     def to_reprojection(
         self,
         index: int = 0,
-        override_export_path: Path | None = None,
+        # override_export_path: Path | None = None,
         return_results: bool = False,
         source_to_index: Sequence | None = None,
     ) -> Path | T_Dataset:
@@ -676,9 +535,6 @@ def to_reprojection(
             index=index, source_to_index=source_to_index
         )
         path: PathLike = self.output_path
-        # path: PathLike = self._output_path(
-        #     self.resolution_relative_path, override_export_path
-        # )
         result: Path | T_Dataset | GDALDataset = apply_geo_func(
             source_path=source_path,
             func=self._resample_func,
@@ -787,19 +643,6 @@ def __repr__(self) -> str:
             f"input_paths_count={len(self.input_paths) if isinstance(self.input_paths, Sequence) else 1})>"
         )
 
-    # def _gen_input_folder_paths(
-    #     self,
-    #     path: PathLike,
-    #     append_var_path_dict: bool = False,
-    # ) -> Iterator[Path]:
-    #     """Yield input paths of `self.variables` and `self.runs`."""
-    #     var_path: Path
-    #     for var in self.variables:
-    #         var_path = Path(path) / var / self.sub_path
-    #         if append_var_path_dict:
-    #             self._path_dict[var_path] = var
-    #         yield var_path
-
     def _gen_resample_folder_paths(
         self,
         path: PathLike,
@@ -822,7 +665,6 @@ def check_paths(
         """Check and set `input`, `resample` and `crop` paths."""
 
         if run_set_data_paths:
-            # self.set_input_paths()
             self.set_resample_paths()
         if run_set_crop_paths:
             self.set_crop_paths()
@@ -898,11 +740,10 @@ def set_crop_paths(self) -> None:
                 )
             )
 
-    def yield_configs(self) -> Iterable[HADsResampler]:
+    def yield_configs(self) -> Iterable[ResamblerBase]:
         """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
         self.check_paths()
         assert isinstance(self.resample_paths, Iterable)
-        # assert isinstance(self.crop_paths, Iterable)
         for index, var_path in enumerate(self._input_path_dict.items()):
             yield self.resampler_class(
                 input_path=var_path[0],
@@ -913,14 +754,13 @@ def yield_configs(self) -> Iterable[HADsResampler]:
                 **self.config_default_kwargs,
             )
 
-    def yield_crop_configs(self) -> Iterable[HADsResampler]:
+    def yield_crop_configs(self) -> Iterable[ResamblerBase]:
         """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
         self.check_paths()
         assert isinstance(self.input_paths, Iterable)
         assert isinstance(self.resample_paths, Iterable)
         assert isinstance(self.crop_paths, Iterable)
         for index, input_resample_paths in enumerate(self._resampled_path_dict.items()):
-            # for crop_path, region in self._cropped_path_dict.items():
             for crop_path, region in self._cropped_path_dict.items():
                 yield self.resampler_class(
                     input_path=input_resample_paths[0],
@@ -968,7 +808,7 @@ def __getitem__(self, key: int | slice) -> Path | tuple[Path, ...] | None:
 
     def execute_resample_configs(
         self, multiprocess: bool = False, cpus: int | None = None
-    ) -> tuple[CPMResampler | HADsResampler, ...]:
+    ) -> tuple[ResamblerBase, ...]:
         """Run all resampler configurations
 
         Parameters
@@ -978,9 +818,7 @@ def execute_resample_configs(
         cpus
             Number of `cpus` to pass to `multiprocess_execute`.
         """
-        resamplers: tuple[CPMResampler | HADsResampler, ...] = tuple(
-            self.yield_configs()
-        )
+        resamplers: tuple[ResamblerBase, ...] = tuple(self.yield_configs())
         results: list[list[Path] | None] = []
         if multiprocess:
             cpus = cpus or self.cpus
@@ -995,7 +833,7 @@ def execute_resample_configs(
 
     def execute_crop_configs(
         self, multiprocess: bool = False, cpus: int | None = None
-    ) -> tuple[CPMResampler | HADsResampler, ...]:
+    ) -> tuple[ResamblerBase, ...]:
         """Run all resampler configurations
 
         Parameters
@@ -1005,12 +843,7 @@ def execute_crop_configs(
         cpus
             Number of `cpus` to pass to `multiprocess_execute`.
         """
-        croppers: tuple[CPMResampler | HADsResampler, ...] = tuple(
-            # self.yield_configs(
-            #     input_path=self.resample_paths, output_path=self.crop_path
-            # )
-            self.yield_crop_configs()
-        )
+        croppers: tuple[ResamblerBase, ...] = tuple(self.yield_crop_configs())
         results: list[list[Path] | None] = []
         if multiprocess:
             cpus = cpus or self.cpus
@@ -1084,14 +917,10 @@ class HADsResamplerManager(ResamblerManagerBase):
     resample_paths: PathLike | Sequence[PathLike] = (
         RESAMPLING_OUTPUT_PATH / HADS_OUTPUT_LOCAL_PATH
     )
-    # variables: Sequence[VariableOptions | str] = (VariableOptions.default(),)
-    # crop_regions: tuple[RegionOptions | str, ...] | None = RegionOptions.all()
     crop_paths: Sequence[PathLike] | PathLike = (
         RESAMPLING_OUTPUT_PATH / HADS_CROP_OUTPUT_LOCAL_PATH
     )
     sub_path: Path = HADS_SUB_PATH
-    # start_index: int = 0
-    # stop_index: int | None = None
     start_date: date = HADS_START_DATE
     end_date: date = HADS_END_DATE
     configs: list[HADsResampler] = field(default_factory=list)
@@ -1127,21 +956,12 @@ def _gen_crop_folder_paths(
                     self._cropped_path_dict[crop_path] = region
                 yield crop_path
 
-    # def __post_init__(self) -> None:
-    #     """Ensure `self.cpm_for_coord_alignment` is set."""
-    #     super().__post_init__()
-    #     # self.set_cpm_for_coord_alignment()
-
     def set_cpm_for_coord_alignment(self) -> None:
         """Check if `cpm_for_coord_alignment` is a `Dataset`, process if a `Path`."""
         self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
             self.cpm_for_coord_alignment,
             skip_reproject=self.cpm_for_coord_alignment_path_converted,
         )
-        # if not self.cpm_for_coord_alignment_path_converted:
-        #     self.cpm_for_coord_alignment = get_cpm_for_coord_alignment(
-        #         self.cpm_for_coord_alignment
-        #     )
 
     def yield_configs(self) -> Iterable[HADsResampler]:
         """Generate a `CPMResampler` or `HADsResampler` for `self.input_paths`."""
diff --git a/python/clim_recal/utils/data.py b/python/clim_recal/utils/data.py
index d129b310..274a8526 100644
--- a/python/clim_recal/utils/data.py
+++ b/python/clim_recal/utils/data.py
@@ -144,9 +144,6 @@ def rioxarry_epsg(self) -> str:
 DEFAULT_CALENDAR_ALIGN: Final[ConvertCalendarAlignOptions] = "year"
 NETCDF4_XARRAY_ENGINE: Final[str] = "netcdf4"
 
-# DEFAULT_RELATIVE_GRID_DATA_PATH: Final[Path] = (
-#     Path().absolute() / "../data/rcp85_land-cpm_uk_2.2km_grid.nc"
-# )
 TIME_COLUMN_NAME: Final[str] = "time"
 
 GLASGOW_GEOM_LOCAL_PATH: Final[Path] = Path(
diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 4d5baa22..79d03e5a 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -22,7 +22,6 @@
     WarpOptions,
 )
 from osgeo.gdal import config_option as config_GDAL_option
-from pandas import DatetimeIndex, date_range
 from rasterio.enums import Resampling
 from tqdm import tqdm
 from xarray import CFTimeIndex, DataArray, Dataset, cftime_range, open_dataset
@@ -83,19 +82,8 @@
 FINAL_CONVERTED_CPM_WIDTH: Final[int] = 493
 FINAL_CONVERTED_CPM_HEIGHT: Final[int] = 607
 
-# MONTH_DAY_DROP: DropDayType = {(1, 31), (4, 1), (6, 1), (8, 1), (10, 1), (12, 1)}
-# """A `set` of tuples of month and day numbers for `enforce_date_changes`."""
-
-
-# HADS_RAW_X_COLUMN_NAME: Final[str] = "projection_x_coordinate"
-# HADS_RAW_Y_COLUMN_NAME: Final[str] = "projection_y_coordinate"
 HADS_DROP_VARS_AFTER_PROJECTION: Final[tuple[str, ...]] = ("longitude", "latitude")
 
-# CPM_RESOLUTION_METERS: Final[int] = 2200
-# CPM_RAW_X_COLUMN_NAME: Final[str] = "grid_longitude"
-# CPM_RAW_Y_COLUMN_NAME: Final[str] = "grid_latitude"
-
-# TODO: CHECK IF THESE ARE BACKWARDS
 FINAL_RESAMPLE_LON_COL: Final[str] = "x"
 FINAL_RESAMPLE_LAT_COL: Final[str] = "y"
 
@@ -473,98 +461,6 @@ def error_message(method: str) -> str:
         raise ValueError(error_message(method))
 
 
-# def interpolate_coords(
-#     xr_time_series: T_Dataset,
-#     variable_name: str,
-#     x_grid: NDArray | None = None,
-#     y_grid: NDArray | None = None,
-#     x_coord_column_name: str = HADS_RAW_X_COLUMN_NAME,
-#     y_coord_column_name: str = HADS_RAW_Y_COLUMN_NAME,
-#     reference_coords: T_Dataset | PathLike = DEFAULT_RELATIVE_GRID_DATA_PATH,
-#     reference_coord_x_column_name: str = HADS_RAW_X_COLUMN_NAME,
-#     reference_coord_y_column_name: str = HADS_RAW_Y_COLUMN_NAME,
-#     method: str = "linear",
-#     engine: XArrayEngineType = NETCDF4_XARRAY_ENGINE,
-#     use_reference_grid: bool = True,
-#     **kwargs,
-# ) -> T_Dataset:
-#     """Reproject `xr_time_series` to `x_resolution`/`y_resolution`.
-#
-#     Notes
-#     -----
-#     The `rio.reproject` approach commented out below raises
-#     `ValueError: IndexVariable objects must be 1-dimensional`
-#     See https://github.com/corteva/rioxarray/discussions/762
-#     """
-#     if isinstance(xr_time_series, PathLike | str):
-#         xr_time_series = open_dataset(
-#             xr_time_series, decode_coords="all", engine=engine
-#         )
-#
-#     try:
-#         assert isinstance(xr_time_series, Dataset)
-#     except:
-#         ValueError(f"'xr_time_series' must be an 'xr.Dataset' instance.")
-#
-#     if use_reference_grid or (x_grid is None or y_grid is None):
-#         if isinstance(reference_coords, PathLike | str):
-#             reference_coords = open_dataset(
-#                 reference_coords, decode_coords="all", engine=engine
-#             )
-#         try:
-#             assert isinstance(reference_coords, Dataset)
-#         except:
-#             ValueError(f"'reference_coords' must be an 'xr.Dataset' instance.")
-#         try:
-#             assert reference_coord_x_column_name in reference_coords.coords
-#             assert reference_coord_y_column_name in reference_coords.coords
-#             assert x_coord_column_name in xr_time_series.coords
-#             assert y_coord_column_name in xr_time_series.coords
-#         except AssertionError:
-#             raise ValueError(
-#                 f"At least one of\n"
-#                 f"'reference_coord_x_column_name': '{reference_coord_x_column_name}'\n"
-#                 f"'reference_coord_y_column_name': '{reference_coord_y_column_name}'\n"
-#                 f"'x_coord_column_name': '{x_coord_column_name}'\n"
-#                 f"'y_coord_column_name': '{y_coord_column_name}'\n"
-#                 f"not in 'reference_coords' and/or 'xr_time_series'."
-#             )
-#
-#         x_grid = (
-#             reference_coords[reference_coord_x_column_name].values
-#             if x_grid is None
-#             else x_grid
-#         )
-#         y_grid = (
-#             reference_coords[reference_coord_y_column_name].values
-#             if y_grid is None
-#             else y_grid
-#         )
-#         use_reference_grid = True
-#
-#     try:
-#         assert isinstance(x_grid, ndarray)
-#         assert isinstance(y_grid, ndarray)
-#     except:
-#         raise ValueError(
-#             f"Both must be 'ndarray' instances.\n"
-#             f"'x_grid': {x_grid}\n'y_grid': {y_grid}"
-#         )
-#     kwargs[x_coord_column_name] = x_grid
-#     kwargs[y_coord_column_name] = y_grid
-#     reprojected_data_array: T_DataArray = xr_time_series[variable_name].interp(
-#         method=method, **kwargs
-#     )
-#
-#     # Ensure original `rio.crs` is kept in returned `Dataset`
-#     if use_reference_grid:
-#         reprojected_data_array.rio.write_crs(reference_coords.rio.crs, inplace=True)
-#     else:
-#         reprojected_data_array.rio.write_crs(xr_time_series.rio.crs, inplace=True)
-#     reprojected: T_Dataset = Dataset({variable_name: reprojected_data_array})
-#     return reprojected
-
-
 def hads_resample_and_reproject(
     hads_xr_time_series: T_Dataset | PathLike,
     variable_name: str,
@@ -758,10 +654,12 @@ def convert_xr_calendar(
     keep_attrs: bool = True,
     limit: int = 1,
     engine: XArrayEngineType = NETCDF4_XARRAY_ENGINE,
-    extrapolate_fill_value: bool = True,
+    # This may need removing, including in docs
+    # extrapolate_fill_value: bool = True,
     check_cftime_cols: tuple[str] | None = None,
     cftime_range_gen_kwargs: dict[str, Any] | None = None,
-    **kwargs,
+    # This may need to be removed
+    # **kwargs,
 ) -> T_DataArrayOrSet:
     """Convert cpm 360 day time series to a standard 365/366 day time series.
 
@@ -1285,53 +1183,6 @@ def generate_360_to_standard(array_to_expand: T_DataArray) -> T_DataArray:
     return DataArray(expanded_index)
 
 
-def correct_int_time_datafile(
-    xr_dataset_path: Path,
-    new_index_name: str = "time",
-    replace_index: str | None = "band",
-    data_attribute_name: str = "band_data",
-) -> T_Dataset:
-    """Load a `Dataset` from path and generate `time` index.
-
-    Notes
-    -----
-    This is not finished and may be removed in future.
-
-    Examples
-    --------
-    >>> pytest.skip(reason="Not finished implementing")
-    >>> rainfall_dataset = correct_int_time_datafile(
-    ...     glasgow_example_cropped_cpm_rainfall_path)
-    >>> assert False
-    """
-    xr_dataset: T_Dataset = open_dataset(xr_dataset_path)
-    metric_name: str = str(xr_dataset_path).split("_")[0]
-    start_date, end_date = file_name_to_start_end_dates(xr_dataset_path)
-    dates_index: DatetimeIndex = date_range(start_date, end_date)
-    intermediate_new_index: str = new_index_name + "_standard"
-    # xr_intermediate_date = xr_dataset.assign_coords({intermediate_new_index: dates_index})
-    xr_dataset[intermediate_new_index]: T_Dataset = dates_index
-    xr_360_datetime = xr_dataset[intermediate_new_index].convert_calendar(
-        "360_day", align_on="year", dim=intermediate_new_index
-    )
-    if len(xr_360_datetime[intermediate_new_index]) == 361:
-        # If the range overlaps a leap and non leap year,
-        # it is possible to have 361 days
-        # See https://docs.xarray.dev/en/stable/generated/xarray.Dataset.convert_calendar.html
-        # Assuming first date is a December 1
-        xr_360_datetime = xr_360_datetime[intermediate_new_index][1:]
-    assert len(xr_360_datetime[intermediate_new_index]) == 360
-    # xr_with_datetime['time'] = xr_360_datetime
-    assert False
-    xr_bands_time_indexed: T_DataArray = xr_intermediate_date[
-        data_attribute_name
-    ].expand_dims(dim={new_index_name: xr_intermediate_date[new_index_name]})
-    # xr_365_data_array: T_DataArray = convert_xr_calendar(xr_bands_time_indexed)
-    xr_365_dataset: T_Dataset = Dataset({metric_name: xr_bands_time_indexed})
-    partial_fix_365_dataset: T_Dataset = convert_xr_calendar(xr_365_dataset.time)
-    assert False
-
-
 def cftime_range_gen(time_data_array: T_DataArray, **kwargs) -> NDArray:
     """Convert a banded time index a banded standard (Gregorian)."""
     assert hasattr(time_data_array, "time")
diff --git a/python/tests/test_resample.py b/python/tests/test_resample.py
index 238e1ca8..fc6d9557 100644
--- a/python/tests/test_resample.py
+++ b/python/tests/test_resample.py
@@ -37,96 +37,12 @@
     ["19800101", "19800102", "19800103", "19800104", "19800105"]
 )
 
-# FINAL_CONVERTED_CPM_WIDTH: Final[int] = 410
-# FINAL_CONVERTED_CPM_HEIGHT: Final[int] = 660
-# FINAL_CONVERTED_CPM_WIDTH: Final[int] = 493
-# FINAL_CONVERTED_CPM_HEIGHT: Final[int] = 607
-#
-# FINAL_CONVERTED_HADS_WIDTH: Final[int] = 410
-# FINAL_CONVERTED_HADS_HEIGHT: Final[int] = 660
-
-# RAW_CPM_TASMAX_1980_FIRST_5: Final[NDArray] = np.array(
-#     [12.654932, 12.63711, 12.616358, 12.594385, 12.565821], dtype="float32"
-# )
-# RAW_CPM_TASMAX_1980_DEC_30_FIRST_5: Final[NDArray] = np.array(
-#     [13.832666, 13.802149, 13.788477, 13.777491, 13.768946], dtype="float32"
-# )
-
-
-# FINAL_HADS_JAN_10_430_X_230_250_Y: Final[NDArray] = np.array(
-#     (
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         3.61614943,
-#         3.22494448,
-#         2.87045363,
-#         2.62269053,
-#         2.79705005,
-#         2.73883926,
-#         2.48555346,
-#         2.46462528,
-#         2.61303118,
-#     )
-# )
-
-# FINAL_HADS_JAN_10_430_X_200_210_Y: Final[NDArray] = np.array(
-#     (
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         np.nan,
-#         7.57977839,
-#         7.47138044,
-#         7.27587694,
-#         7.27587694,
-#         7.07294578,
-#         7.04533059,
-#     )
-# )
-#
-
-# FINAL_CPM_DEC_10_X_2_Y_200_210: Final[NDArray] = np.array(
-#     (
-#         np.nan,
-#         np.nan,
-#         9.637598,
-#         9.646631,
-#         9.636621,
-#         9.622217,
-#         9.625147,
-#         9.640039,
-#         9.6349125,
-#         9.509668,
-#     )
-# )
-#
-
-# @pytest.fixture(scope="session")
-# def reference_final_coord_grid() -> T_Dataset:
-#     return open_dataset(DEFAULT_RELATIVE_GRID_DATA_PATH, decode_coords="all")
-
 
 @pytest.fixture
 def cpm_tasmax_raw_mount_path(data_mount_path: Path) -> Path:
     return data_mount_path / CPM_TASMAX_DAY_SERVER_PATH
 
 
-#
-# @pytest.fixture
-# def cpm_tasmax_raw_5_years_paths(cpm_tasmax_raw_path: Path) -> tuple[Path, ...]:
-#     """Return a `tuple` of valid paths for 5 years of"""
-#     return tuple(annual_data_paths_generator(parent_path=cpm_tasmax_raw_path))
-
-
 @pytest.fixture
 def hads_tasmax_raw_mount_path(data_mount_path: Path) -> Path:
     return data_mount_path / HADS_UK_TASMAX_DAY_SERVER_PATH
@@ -142,415 +58,6 @@ def cpm_tasmax_local_test_path(data_fixtures_path: Path) -> Path:
     return data_fixtures_path / CPM_TASMAX_LOCAL_TEST_PATH
 
 
-# def test_leap_year_days() -> None:
-#     """Test covering a leap year of 366 days."""
-#     start_date_str: str = "2024-03-01"
-#     end_date_str: str = "2025-03-01"
-#     xarray_2024_2025: T_DataArray = xarray_example(
-#         start_date=start_date_str,
-#         end_date=end_date_str,
-#         inclusive=True,
-#     )
-#     assert len(xarray_2024_2025) == year_days_count(leap_years=1)
-#
-#
-# # This is roughly what I had in mind for
-# # https://github.com/alan-turing-institute/clim-recal/issues/132
-# # This tests converting from a standard calendar to a 360_day calendar.
-# @pytest.mark.parametrize(
-#     # Only one of start_date and end_date are included the day counts
-#     "start_date, end_date, gen_date_count, days_360, converted_days, align_on",
-#     [
-#         pytest.param(
-#             # 4 years, including a leap year
-#             "2024-03-02",
-#             "2028-03-02",
-#             year_days_count(standard_years=3, leap_years=1),
-#             year_days_count(xarray_360_day_years=4),
-#             year_days_count(standard_years=3, leap_years=1),
-#             "year",
-#             id="years_4_annual_align",
-#         ),
-#         pytest.param(
-#             # A whole year, most of which is in a leap year, but avoids the leap day
-#             "2024-03-02",
-#             "2025-03-02",
-#             year_days_count(standard_years=1),
-#             year_days_count(xarray_360_day_years=1) - 1,
-#             year_days_count(standard_years=1),
-#             "year",
-#             id="leap_year_but_no_leap_day_annual_align",
-#         ),
-#         pytest.param(
-#             # A whole year, the same date range as the previous test,
-#             # but includes the leap day and the majority of the days are in a non-leap year
-#             # Note: the current final export configuration *adds* a day
-#             "2023-03-02",
-#             "2024-03-02",
-#             year_days_count(leap_years=1),
-#             year_days_count(xarray_360_day_years=1) + 1,
-#             year_days_count(leap_years=1) + 1,
-#             "year",
-#             id="leap_year_with_leap_day_annual_align",
-#         ),
-#         pytest.param(
-#             # An exact calendar year which *IS NOT* a leap year
-#             "2023-01-01",
-#             "2024-01-01",
-#             year_days_count(standard_years=1),
-#             year_days_count(xarray_360_day_years=1),
-#             year_days_count(standard_years=1),
-#             "year",
-#             id="non_leap_year_annual_align",
-#         ),
-#         pytest.param(
-#             # A leap day (just the days either side, in a leap year)
-#             "2024-02-28",
-#             "2024-03-01",
-#             2,
-#             2,
-#             2,
-#             "year",
-#             id="leap_day",
-#         ),
-#         pytest.param(
-#             # A non-leap day (just the days either side, in a non-leap year)
-#             "2023-02-28",
-#             "2023-03-01",
-#             1,
-#             1,
-#             1,
-#             "year",
-#             id="non_leap_day_date_align",
-#         ),
-#         # Add more test cases to cover the different scenarios and edge cases
-#         pytest.param(
-#             # 4 years, including a leap year
-#             # WARNING: the intermittent year days seems a week short
-#             "2024-03-02",
-#             "2028-03-02",
-#             year_days_count(standard_years=3, leap_years=1),
-#             year_days_count(xarray_360_day_years=4) - 7,
-#             year_days_count(standard_years=3, leap_years=1),
-#             "date",
-#             id="years_4_date_align",
-#             marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
-#         ),
-#         pytest.param(
-#             # A whole year, most of which is in a leap year, but avoids the leap day
-#             "2024-03-02",
-#             "2025-03-02",
-#             year_days_count(standard_years=1),
-#             year_days_count(xarray_360_day_years=1) - 2,
-#             year_days_count(standard_years=1),
-#             "date",
-#             id="leap_year_but_no_leap_day_date_align",
-#             marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
-#         ),
-#         pytest.param(
-#             # A whole year, the same date range as the previous test,
-#             # but includes the leap day and the majority of the days are in a non-leap year
-#             # Note: the current final export configuration *adds* a day
-#             "2023-03-02",
-#             "2024-03-02",
-#             year_days_count(leap_years=1),
-#             year_days_count(xarray_360_day_years=1) - 1,
-#             year_days_count(leap_years=1) + 1,
-#             "date",
-#             id="leap_year_with_leap_day_date_align",
-#             marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
-#         ),
-#         pytest.param(
-#             # An exact calendar year which *IS NOT* a leap year
-#             "2023-01-01",
-#             "2024-01-01",
-#             year_days_count(standard_years=1),
-#             year_days_count(xarray_360_day_years=1) - 2,
-#             year_days_count(standard_years=1),
-#             "date",
-#             id="non_leap_year_date_align",
-#             marks=pytest.mark.xfail(reason="raises `date_range_like` error"),
-#         ),
-#         pytest.param(
-#             # A leap day (just the days either side, in a leap year)
-#             "2024-02-28",
-#             "2024-03-01",
-#             2,
-#             2,
-#             2,
-#             "date",
-#             id="leap_day",
-#         ),
-#         pytest.param(
-#             # A non-leap day (just the days either side, in a non-leap year)
-#             "2023-02-28",
-#             "2023-03-01",
-#             1,
-#             1,
-#             1,
-#             "date",
-#             id="non_leap_day_date_align",
-#         ),
-#     ],
-# )
-# def test_time_gaps_360_to_standard_calendar(
-#     start_date: DateType,
-#     end_date: DateType,
-#     gen_date_count: int,
-#     days_360: int,
-#     converted_days: int,
-#     align_on: ConvertCalendarAlignOptions,
-# ):
-#     """Test `convert_xr_calendar` call of `360_day` `DataArray` to `standard` calendar."""
-#     # Potential paramaterized variables
-#     inclusive_date_range: bool = False  # includes the last day specified
-#     use_cftime: bool = True  # Whether to enforece using `cftime` over `datetime64`
-#     # align_on: ConvertCalendarAlignOptions = 'date'
-#
-#     # Create a base
-#     base: T_Dataset = xarray_example(
-#         start_date, end_date, as_dataset=True, inclusive=inclusive_date_range
-#     )
-#
-#     # Ensure the generated date range matches for later checks
-#     # This occurs for a sigle leap year
-#     assert len(base.time) == gen_date_count
-#
-#     # Convert to `360_day` calendar example
-#     dates_360: T_Dataset = base.convert_calendar(
-#         calendar="360_day",
-#         align_on=align_on,
-#         use_cftime=use_cftime,
-#     )
-#
-#     # Check the total number of days are as expected
-#     assert len(dates_360.time) == days_360
-#
-#     if converted_days < 5:
-#         with pytest.raises(ValueError):
-#             convert_xr_calendar(dates_360, align_on=align_on, use_cftime=use_cftime)
-#     else:
-#         dates_converted: T_Dataset = convert_xr_calendar(
-#             dates_360, align_on=align_on, use_cftime=use_cftime
-#         )
-#         assert len(dates_converted.time) == converted_days
-#
-#         # Optionally now check which dates have been dropped and added
-#         # Add more assertions here...
-#         assert all(base.time == dates_converted.time)
-#         assert all(base.time != dates_360.time)
-#
-
-# @pytest.mark.slow
-# @pytest.mark.mount
-# @pytest.mark.parametrize("interpolate_na", (True, False))
-# def test_convert_cpm_calendar(interpolate_na: bool) -> None:
-#     """Test `convert_calendar` on mounted `cpm` data.
-#
-#     Notes
-#     -----
-#     If `interpolate_na` is `True`, there shouldn't be `tasmax` `nan` values, hence
-#     creating the `na_values` `bool` as the inverse of `interpolate_na`.
-#     """
-#     any_na_values_in_tasmax: bool = not interpolate_na
-#     raw_nc: T_Dataset = open_dataset(
-#         CPM_RAW_TASMAX_EXAMPLE_PATH, decode_coords="all", engine=NETCDF4_XARRAY_ENGINE
-#     )
-#     assert len(raw_nc.time) == 360
-#     assert len(raw_nc.time_bnds) == 360
-#     converted: T_Dataset = convert_xr_calendar(raw_nc, interpolate_na=interpolate_na)
-#     assert len(converted.time) == 365
-#     assert len(converted.time_bnds) == 365
-#     assert (
-#         np.isnan(converted.tasmax.head()[0][0][0].values).all()
-#         == any_na_values_in_tasmax
-#     )
-
-
-# @pytest.mark.localcache
-# @pytest.mark.mount
-# @pytest.mark.slow
-# @pytest.mark.parametrize("include_bnds_index", (True, False))
-# def test_cpm_xarray_to_standard_calendar(
-#     tasmax_cpm_1980_raw: T_Dataset,
-#     include_bnds_index: bool,
-# ) -> None:
-#     """Test 360 raw to 365/366 calendar conversion.
-#
-#     Notes
-#     -----
-#     Indexing differs between `include_bnds_index` ``bool`.
-#     ```
-#     """
-#     CORRECT_PROJ4: Final[str] = (
-#         "+proj=ob_tran +o_proj=longlat +o_lon_p=0 +o_lat_p=37.5 +lon_0=357.5 +R=6371229 +no_defs=True"
-#     )
-#     test_converted = cpm_xarray_to_standard_calendar(
-#         tasmax_cpm_1980_raw, include_bnds_index=include_bnds_index
-#     )
-#     assert test_converted.rio.width == CALENDAR_CONVERTED_CPM_WIDTH
-#     assert test_converted.rio.height == CALENDAR_CONVERTED_CPM_HEIGHT
-#     assert test_converted.rio.crs.to_proj4() == CORRECT_PROJ4
-#     assert test_converted.tasmax.rio.crs.to_proj4() == CORRECT_PROJ4
-#     assert len(test_converted.time) == 365
-#
-#     tasmax_data_subset: NDArray
-#     if include_bnds_index:
-#         assert len(test_converted.tasmax.data) == 2  # second band
-#         assert len(test_converted.tasmax.data[0][0]) == 365  # first band
-#         assert len(test_converted.tasmax.data[1][0]) == 365  # second band
-#         tasmax_data_subset = test_converted.tasmax.data[0][0]  # first band
-#     else:
-#         assert len(test_converted.tasmax.data) == 1  # no band index
-#         tasmax_data_subset = test_converted.tasmax.data[0]
-#     assert len(tasmax_data_subset) == 365
-#
-#     # By default December 1 in a 360 to 365 projection would
-#     # be null. The values matching below should indicate the
-#     # projection has interpolated null values on the first date
-#     assert (
-#         tasmax_data_subset[0][0][:5]
-#         == PROJECTED_CPM_TASMAX_1980_FIRST_5
-#         # test_converted.tasmax.data[0][0][0][0][:5] == PROJECTED_CPM_TASMAX_1980_FIRST_5
-#     ).all()
-#     # Check December 31 1980, which wouldn't be included in 360 day calendar
-#     assert (
-#         # test_converted.tasmax.data[0][0][31][0][:5]
-#         tasmax_data_subset[31][0][:5]
-#         == PROJECTED_CPM_TASMAX_1980_DEC_31_FIRST_5
-#     ).all()
-
-
-# @pytest.mark.localcache
-# @pytest.mark.mount
-# @pytest.mark.slow
-# def test_cpm_reproject_with_standard_calendar(
-#     tasmax_cpm_1980_raw_path: Path,
-#     test_runs_output_path: Path,
-#     variable_name: str = "tasmax",
-# ) -> None:
-#     """Test all steps around calendar and warping CPM RAW data."""
-#     output_path: Path = results_path(
-#         "test-cpm-warp",
-#         path=test_runs_output_path,
-#         mkdir=True,
-#         extension=NETCDF_EXTENSION_STR,
-#     )
-#     plot_path: Path = output_path.parent / (output_path.stem + ".png")
-#     projected: T_Dataset = cpm_reproject_with_standard_calendar(
-#         tasmax_cpm_1980_raw_path,
-#     )
-#     assert projected.rio.crs == BRITISH_NATIONAL_GRID_EPSG
-#     projected.to_netcdf(output_path)
-#     results: T_Dataset = open_dataset(output_path, decode_coords="all")
-#     assert (results.time == projected.time).all()
-#     assert results.dims == {
-#         FINAL_RESAMPLE_LON_COL: FINAL_CONVERTED_CPM_WIDTH,
-#         FINAL_RESAMPLE_LAT_COL: FINAL_CONVERTED_CPM_HEIGHT,
-#         "time": 365,
-#     }
-#     assert results.rio.crs == BRITISH_NATIONAL_GRID_EPSG
-#     assert len(results.data_vars) == 1
-#     assert_allclose(
-#         results[variable_name][10][2][200:210], FINAL_CPM_DEC_10_X_2_Y_200_210
-#     )
-#     plot_xarray(results.tasmax[0], plot_path, time_stamp=True)
-#
-#
-# @pytest.mark.xfail(reason="test not complete")
-# def test_cpm_tif_to_standard_calendar(
-#     glasgow_example_cropped_cpm_rainfall_path: Path,
-# ) -> None:
-#     test_converted: tuple[date, ...] = tuple(
-#         date_range_generator(
-#             *file_name_to_start_end_dates(glasgow_example_cropped_cpm_rainfall_path)
-#         )
-#     )
-#     assert len(test_converted) == 366
-#     assert False
-#
-#
-# # @pytest.mark.xfail(reason="not finished writing, will need refactor")
-# @pytest.mark.localcache
-# @pytest.mark.slow
-# @pytest.mark.mount
-# @pytest.mark.parametrize("region", ("Glasgow", "Manchester", "London", "Scotland"))
-# @pytest.mark.parametrize("data_type", (UKCPLocalProjections, HadUKGrid))
-# @pytest.mark.parametrize(
-#     # "config", ("direct", "range", "direct_provided", "range_provided")
-#     "config",
-#     ("direct", "range"),
-# )
-# def test_crop_xarray(
-#     tasmax_cpm_1980_raw_path,
-#     tasmax_hads_1980_raw_path,
-#     resample_test_cpm_output_path,
-#     resample_test_hads_output_path,
-#     config: str,
-#     data_type: str,
-#     region: str,
-# ):
-#     """Test `cropping` `DataArray` to `standard` calendar."""
-#     CPM_FIRST_DATES: np.array = np.array(
-#         ["19801201", "19801202", "19801203", "19801204", "19801205"]
-#     )
-#     test_config: CPMResampler | HADsResampler
-#     if data_type == HadUKGrid:
-#         output_path: Path = resample_test_hads_output_path / config
-#         crop_path: Path = (
-#             resample_test_hads_output_path / config / HADS_CROP_OUTPUT_LOCAL_PATH
-#         )
-#
-#         test_config = HADsResampler(
-#             input_path=tasmax_hads_1980_raw_path.parent,
-#             output_path=output_path,
-#             crop_path=crop_path,
-#         )
-#     else:
-#         assert data_type == UKCPLocalProjections
-#         output_path: Path = resample_test_cpm_output_path / config
-#         crop_path: Path = (
-#             resample_test_cpm_output_path / config / CPM_CROP_OUTPUT_LOCAL_PATH
-#         )
-#         test_config = CPMResampler(
-#             input_path=tasmax_cpm_1980_raw_path.parent,
-#             output_path=output_path,
-#             crop_path=crop_path,
-#         )
-#     paths: list[Path]
-#     try:
-#         reproject_result: GDALDataset = test_config.to_reprojection()
-#     except FileExistsError:
-#         test_config._sync_reprojected_paths(overwrite_output_path=output_path)
-#
-#     match config:
-#         case "direct":
-#             paths = [test_config.crop_projection(region=region)]
-#         case "range":
-#             paths = test_config.range_crop_projection(stop=1)
-#         # case "direct_provided":
-#         #     paths = [
-#         #         test_config.to_reprojection(index=0, source_to_index=tuple(test_config))
-#         #     ]
-#         # case "range_provided":
-#         #     paths = test_config.range_to_reprojection(
-#         #         stop=1, source_to_index=tuple(test_config)
-#         #     )
-#     crop: T_Dataset = open_dataset(paths[0])
-#     # assert crop.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_CPM_WIDTH
-#     # assert_allclose(export.tasmax[10][5][:10].values, FINAL_CPM_DEC_10_5_X_0_10_Y)
-#     if data_type == UKCPLocalProjections:
-#         assert crop.dims["time"] == 365
-#         assert (
-#             CPM_FIRST_DATES == crop.time.dt.strftime(CLI_DATE_FORMAT_STR).head().values
-#         ).all()
-#     plot_xarray(
-#         crop.tasmax[0],
-#         path=crop_path / region / f"config-{config}.png",
-#         time_stamp=True,
-#     )
-
-
 @pytest.mark.localcache
 @pytest.mark.slow
 @pytest.mark.mount
@@ -597,7 +104,6 @@ def test_cpm_manager(
     )
 
 
-# @pytest.mark.xfail(reason="checking `export.tasmax` values currently yields `nan`")
 @pytest.mark.localcache
 @pytest.mark.slow
 @pytest.mark.mount
@@ -629,135 +135,6 @@ def test_hads_manager(
     )
 
 
-# @pytest.mark.localcache
-# @pytest.mark.mount
-# @pytest.mark.slow
-# @pytest.mark.parametrize("data_type", ("hads", "cpm"))
-# @pytest.mark.parametrize("use_reference_grid", (True, False))
-# def test_interpolate_coords(
-#     data_type: str,
-#     reference_final_coord_grid: T_Dataset,
-#     tasmax_cpm_1980_raw: T_Dataset,
-#     tasmax_hads_1980_raw: T_Dataset,
-#     use_reference_grid: bool,
-# ) -> None:
-#     """Test reprojecting raw spatial files.
-#
-#     Notes
-#     -----
-#     Still seems to run even when `-m "not mount"` is specified.
-#     """
-#     reprojected_xr_time_series: T_Dataset
-#     kwargs: dict[str, Any] = dict(
-#         variable_name="tasmax",
-#         x_grid=reference_final_coord_grid.projection_x_coordinate.values,
-#         y_grid=reference_final_coord_grid.projection_y_coordinate.values,
-#     )
-#     x_col_name: str = HADS_XDIM
-#     y_col_name: str = HADS_YDIM
-#     if data_type == "hads":
-#         reprojected_xr_time_series = interpolate_coords(
-#             tasmax_hads_1980_raw,
-#             x_coord_column_name=x_col_name,
-#             y_coord_column_name=y_col_name,
-#             use_reference_grid=use_reference_grid,
-#             **kwargs,
-#         )
-#         assert reprojected_xr_time_series.dims["time"] == 31
-#         assert_allclose(
-#             reprojected_xr_time_series.tasmax[10][430][200:210],
-#             FINAL_HADS_JAN_10_430_X_200_210_Y,
-#         )
-#         if use_reference_grid:
-#             assert reprojected_xr_time_series.rio.crs == BRITISH_NATIONAL_GRID_EPSG
-#         else:
-#             assert reprojected_xr_time_series.rio.crs == tasmax_hads_1980_raw.rio.crs
-#     else:
-#         x_col_name = CPRUK_XDIM
-#         y_col_name = CPRUK_YDIM
-#         # We are now using gdal_warp_wrapper. See test_cpm_warp_steps
-#         reprojected_xr_time_series = interpolate_coords(
-#             tasmax_cpm_1980_raw,
-#             x_coord_column_name=x_col_name,
-#             y_coord_column_name=y_col_name,
-#             use_reference_grid=use_reference_grid,
-#             **kwargs,
-#         )
-#         # Note: this test is to a raw file without 365 day projection
-#         assert reprojected_xr_time_series.dims["time"] == 360
-#         assert np.isnan(reprojected_xr_time_series.tasmax[0][10][5][:10].values).all()
-#         if use_reference_grid:
-#             assert reprojected_xr_time_series.rio.crs == BRITISH_NATIONAL_GRID_EPSG
-#         else:
-#             assert reprojected_xr_time_series.rio.crs == tasmax_cpm_1980_raw.rio.crs
-#     assert reprojected_xr_time_series.dims[x_col_name] == 528
-#     assert reprojected_xr_time_series.dims[y_col_name] == 651
-
-
-# @pytest.mark.slow
-# @pytest.mark.localcache
-# @pytest.mark.mount
-# def test_hads_resample_and_reproject(
-#     tasmax_hads_1980_raw: T_Dataset,
-#     tasmax_cpm_1980_raw: T_Dataset,
-# ) -> None:
-#     variable_name: str = "tasmax"
-#     output_path: Path = Path("tests/runs/reample-hads")
-#     # First index is for month, in this case January 1980
-#     # The following could be replaced by a cached fixture
-#     cpm_to_match: T_Dataset = cpm_reproject_with_standard_calendar(tasmax_cpm_1980_raw)
-#     plot_xarray(
-#         tasmax_hads_1980_raw.tasmax[0],
-#         path=output_path / "tasmas-1980-JAN-1-raw.png",
-#         time_stamp=True,
-#     )
-#
-#     assert tasmax_hads_1980_raw.dims["time"] == 31
-#     assert tasmax_hads_1980_raw.dims[HADS_RAW_X_COLUMN_NAME] == 900
-#     assert tasmax_hads_1980_raw.dims[HADS_RAW_Y_COLUMN_NAME] == 1450
-#     reprojected: T_Dataset = hads_resample_and_reproject(
-#         tasmax_hads_1980_raw,
-#         variable_name=variable_name,
-#         cpm_to_match=tasmax_cpm_1980_raw,
-#     )
-#
-#     assert reprojected.rio.crs.to_epsg() == int(BRITISH_NATIONAL_GRID_EPSG[5:])
-#     export_netcdf_path: Path = results_path(
-#         "tasmax-1980-converted", path=output_path, extension="nc"
-#     )
-#     reprojected.to_netcdf(export_netcdf_path)
-#     read_from_export: T_Dataset = open_dataset(export_netcdf_path, decode_coords="all")
-#     plot_xarray(
-#         read_from_export.tasmax[0],
-#         path=output_path / "tasmax-1980-JAN-1-resampled.png",
-#         time_stamp=True,
-#     )
-#     assert_allclose(
-#         read_from_export.tasmax[10][430][200:210], FINAL_HADS_JAN_10_430_X_200_210_Y
-#     )
-#     assert read_from_export.dims["time"] == 31
-#     assert (
-#         read_from_export.dims[FINAL_RESAMPLE_LON_COL] == FINAL_CONVERTED_CPM_WIDTH
-#     )  # replaces projection_x_coordinate
-#     assert (
-#         read_from_export.dims[FINAL_RESAMPLE_LAT_COL] == FINAL_CONVERTED_CPM_HEIGHT
-#     )  # replaces projection_y_coordinate
-#     assert reprojected.rio.crs == read_from_export.rio.crs == BRITISH_NATIONAL_GRID_EPSG
-#     # Check projection coordinates match for CPM and HADs
-#     assert (
-#         reprojected.tasmax.rio.crs
-#         == read_from_export.tasmax.rio.crs
-#         == BRITISH_NATIONAL_GRID_EPSG
-#     )
-#     # Check projection coordinates are set at the variable level
-#     assert all(cpm_to_match.x == read_from_export.x)
-#     assert all(cpm_to_match.y == read_from_export.y)
-#     assert (
-#         read_from_export.spatial_ref.attrs["spatial_ref"]
-#         == cpm_to_match.spatial_ref.attrs["spatial_ref"]
-#     )
-
-
 @pytest.mark.localcache
 @pytest.mark.mount
 @pytest.mark.parametrize("strict_fail_bool", (True, False))
@@ -808,29 +185,11 @@ def test_execute_resample_configs(
     ).all()
 
 
-#
-# @pytest.mark.localcache
-# @pytest.mark.slow
-# @pytest.mark.mount
-# @pytest.mark.parametrize("skip_reproject", (True, False))
-# def test_set_cpm_for_coord_alignment(
-#     skip_reproject: bool,
-#     tasmax_cpm_1980_raw_path: Path,
-#     tasmax_cpm_1980_converted_path: Path,
-# ) -> None:
-#     """Test using `set_cpm_for_coord_alignment` to manage coord alignment."""
-#     path: Path = tasmax_cpm_1980_converted_path if skip_reproject else tasmax_cpm_1980_raw_path
-#     assert False
-#     test_result: T_Dataset = set_cpm_for_coord_alignment(path, skip_reproject)
-#     assert isinstance(test_result, Dataset)
-
-
 @pytest.mark.localcache
 @pytest.mark.slow
 @pytest.mark.mount
 @pytest.mark.parametrize("manager", (CPMResamplerManager, HADsResamplerManager))
 # @pytest.mark.parametrize("multiprocess", (False, True))
-# @pytest.mark.parametrize("multiprocess", (False, False))
 def test_execute_crop_configs(
     manager: ResamblerManagerBase,
     # multiprocess: bool,

From 88c4ddaa0f325c854a331ce86a43241f70086dc1 Mon Sep 17 00:00:00 2001
From: Dr Griffith Rees <griff.rees@gmail.com>
Date: Tue, 10 Sep 2024 02:39:20 +0100
Subject: [PATCH 92/92] fix: `file_name_to_start_end_dates` `doctest`

---
 python/clim_recal/utils/xarray.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/python/clim_recal/utils/xarray.py b/python/clim_recal/utils/xarray.py
index 79d03e5a..f5264f08 100644
--- a/python/clim_recal/utils/xarray.py
+++ b/python/clim_recal/utils/xarray.py
@@ -1146,6 +1146,7 @@ def file_name_to_start_end_dates(
     >>> tif_366_path: Path = (Path('some') /
     ...     'folder' /
     ...     'pr_rcp85_land-cpm_uk_2.2km_06_day_20791201-20801130.tif')
+    >>> from pandas import date_range
     >>> dates = date_range(*file_name_to_start_end_dates(tif_366_path))
     >>> len(dates)
     366