fix mypy type errors

Author: SarahAlidoost

PyStemmusScope/global_data/cams_co2.py

@@ -7,7 +7,7 @@
 from PyStemmusScope.global_data import utils
 
 # see https://docs.dask.org/en/latest/array-slicing.html#efficiency
-dask.config.set(**{'array.slicing.split_large_chunks': True})
+dask.config.set(**{'array.slicing.split_large_chunks': True}) # type: ignore
 
 RESOLUTION_CAMS = 0.75  # Resolution of the dataset in degrees
 

PyStemmusScope/global_data/cci_landcover.py

@@ -8,7 +8,7 @@
 from PyStemmusScope.global_data import utils
 
 # see https://docs.dask.org/en/latest/array-slicing.html#efficiency
-dask.config.set(**{'array.slicing.split_large_chunks': True})
+dask.config.set(**{'array.slicing.split_large_chunks': True}) # type: ignore
 
 RESOLUTION_CCI = 1 / 360  # Resolution of the dataset in degrees
 FILEPATH_LANDCOVER_TABLE = Path(__file__).parent / "assets" / "lccs_to_igbp_table.csv"

PyStemmusScope/global_data/copernicus_lai.py

@@ -7,7 +7,7 @@
 from PyStemmusScope.global_data import utils
 
 # see https://docs.dask.org/en/latest/array-slicing.html#efficiency
-dask.config.set(**{'array.slicing.split_large_chunks': True})
+dask.config.set(**{'array.slicing.split_large_chunks': True}) # type: ignore
 
 RESOLUTION_LAI = 1 / 112  # Resolution of the LAI dataset in degrees
 

PyStemmusScope/global_data/era5.py

@@ -9,7 +9,7 @@
 from PyStemmusScope.global_data import utils
 
 # see https://docs.dask.org/en/latest/array-slicing.html#efficiency
-dask.config.set(**{'array.slicing.split_large_chunks': True})
+dask.config.set(**{'array.slicing.split_large_chunks': True}) # type: ignore
 
 ERA5_VARIABLES = ["u10", "v10", "mtpr", "sp", "ssrd", "strd"]
 ERA5LAND_VARIABLES = ["t2m", "d2m"]

PyStemmusScope/global_data/eth_canopy_height.py

@@ -7,7 +7,7 @@
 from PyStemmusScope.global_data import utils
 
 # see https://docs.dask.org/en/latest/array-slicing.html#efficiency
-dask.config.set(**{'array.slicing.split_large_chunks': True})
+dask.config.set(**{'array.slicing.split_large_chunks': True}) # type: ignore
 
 MAX_DISTANCE = 0.01  # Maximum lat/lon distance to be considered nearby.
 

PyStemmusScope/global_data/prism_dem.py

@@ -7,7 +7,7 @@
 from PyStemmusScope.global_data import utils
 
 # see https://docs.dask.org/en/latest/array-slicing.html#efficiency
-dask.config.set(**{'array.slicing.split_large_chunks': True})
+dask.config.set(**{'array.slicing.split_large_chunks': True}) # type: ignore
 
 MAX_DISTANCE = 0.01  #  Maximum lat/lon distance to be considered nearby. Approx 1km.
 

PyStemmusScope/global_data/utils.py

@@ -5,7 +5,7 @@
 import xarray as xr
 
 # see https://docs.dask.org/en/latest/array-slicing.html#efficiency
-dask.config.set(**{'array.slicing.split_large_chunks': True})
+dask.config.set(**{'array.slicing.split_large_chunks': True}) # type: ignore
 
 class MissingDataError(Exception):
     """Error to be raised when requested data is missing."""