Fix typos

.github/workflows/publish.yml

@@ -24,7 +24,7 @@ jobs:
         run: |
           if [ "$(./get_pypi_latest_version.sh)" != "$(python setup.py --version)" ]
           then
-            echo "Current version is not on PyPI, proceed with bulding"
+            echo "Current version is not on PyPI, proceed with building"
           else
             echo "Current version is the latest version uploaded to PyPI"
             exit 1

CHANGES.md

@@ -161,7 +161,7 @@
 
 - FIX: Fixing stack when saved as integer for some special cases
 - FIX: Clipping negative reflectances to 0 ([#79](https://github.com/sertit/eoreader/issues/79))
-- FIX: Fixing nodata mangement for Theia product
+- FIX: Fixing nodata management for Theia product
 - FIX: Fixing handling of SCS multi-swath `Cosmo-SkyMed` products ([#78](https://github.com/sertit/eoreader/issues/78))
 - FIX: Writing spectral indices on disk to align with other bands ([#80](https://github.com/sertit/eoreader/issues/80))
 - FIX: By default, calibration is not applied to slant range `CSG` data, avoiding producing an empty raster ([#48](https://github.com/sertit/eoreader/issues/48))
@@ -183,7 +183,7 @@
 
 ### Bug Fixes
 
-- FIX: Fixing a bug for DIMAP V2 products whith GML masks opening without CRS: assigning first the raw CRS before converting to the product's CRS
+- FIX: Fixing a bug for DIMAP V2 products with GML masks opening without CRS: assigning first the raw CRS before converting to the product's CRS
 - FIX: Fixing index creation when exotic bands not handled by ASI have been loaded in the same time (i.e. stacking `NDWI` with `Oa21` band)
 
 ### Other

CI/scripts_utils.py

@@ -8,12 +8,7 @@
 import tempenv
 from sertit import AnyPath, s3, unistra
 from sertit.types import AnyPathType
-from sertit.unistra import (
-    UNISTRA_S3_ENPOINT,
-    get_db2_path,
-    get_db3_path,
-    get_geodatastore,
-)
+from sertit.unistra import get_db2_path, get_db3_path, get_geodatastore
 
 from eoreader import EOREADER_NAME
 from eoreader.env_vars import TILE_SIZE
@@ -156,9 +151,7 @@ def broken_s2_path():
 
 
 def s3_env(function):
-    return s3.s3_env(endpoint=UNISTRA_S3_ENPOINT, use_s3_env_var=CI_EOREADER_S3)(
-        function
-    )
+    return unistra.s3_env(use_s3_env_var=CI_EOREADER_S3)(function)
 
 
 def compare(to_be_checked, ref, topic):

README.md

@@ -173,7 +173,7 @@ If this happens to you, do not hesitate to make a PR or write an issue about tha
 ## Talks
 
 - [GeoPython 2022](https://submit.geopython.net/geopython-2022/talk/FQPN3Q/) [ [PDF](https://seafile.unistra.fr/f/be2b461af970465b903e/) ] [ [YouTube](https://www.youtube.com/watch?v=mKxOiRULOJA&t=14303s) ]
-- Mentionned in **[Live+]SIG 2022 by ESRI France** (in French):
+- Mentioned in **[Live+]SIG 2022 by ESRI France** (in French):
   `Enrichir ArcgisPro grâce à des processus personnalisés d'observation de la Terre`
   [ [PDF](https://seafile.unistra.fr/f/9502a14f142041468837/) ]
 - Mentioned in GeoPython 2023 - `FLORIA, a custom python pipeline for urban flood extraction from SAR multi-sensors, supported by U-Net convolutional network.`

docs/sar.md

@@ -131,7 +131,7 @@ The default pixel size of GRD bands is not the same as the product resolution! (
 
 ```{warning}
 ⚠ Pay attention that for a pixel spacing of 10 meters and a rg x az resolution of 23m, objects under 23m won't be resolved !
-As this may be counter-intuitive, it is recommanded to **always** specify the pixel size when loading SAR data.
+As this may be counter-intuitive, it is recommended to **always** specify the pixel size when loading SAR data.
 ```
 
 ```{note}
@@ -339,7 +339,7 @@ Those graphs should have a reader and a writer on this model:
 Pay attention to set `$file` and `$out` and leave the `BEAM-DIMAP` file format. The first graph must orthorectify your
 SAR data, but should not despeckle it. The second graph is precisely charged to do it.
 
-SNAP graphs are run on every band separatly.
+SNAP graphs are run on every band separately.
 
  The pre-processing graph should also have a `Calibration` and a `Terrain Correction` step with the following wildcards that are set automatically in the module:
 

eoreader/products/optical/planet_product.py

@@ -285,15 +285,15 @@ def _merge_subdatasets(self) -> Tuple[AnyPathType, bool]:
         if self.is_archived:
             # VRT cannot be created from inside a ZIP
             raise InvalidProductError(
-                "EOReader doens't handle archived Planet data with multiple subdataset. Please extract this product."
+                "EOReader doesn't handle archived Planet data with multiple subdataset. Please extract this product."
             )
             # TODO: merge_geotiff BUT handle reflectances for every subdataset!
             # Relevant ? Maybe not as it takes would a lot of time to merge
 
         if path.is_cloud_path(self.path):
             # VRT cannot be created from data stored in the cloud
             raise InvalidProductError(
-                "EOReader doens't handle cloud-stored Planet data with multiple subdataset. Please download this product on disk."
+                "EOReader doesn't handle cloud-stored Planet data with multiple subdataset. Please download this product on disk."
             )
             # Relevant ? Maybe not as it takes would a lot of time to download, or a lot of time to merge as geotiffs
 

eoreader/products/product.py

@@ -1613,7 +1613,7 @@ def _collocate_bands(bands: dict, reference: xr.DataArray = None) -> dict:
                 reference = band_arr
             else:
                 # To be sure, always collocate arrays, even if the size is the same
-                # Indeed, a small difference in the coordinates will lead to empy arrays
+                # Indeed, a small difference in the coordinates will lead to empty arrays
                 # So the bands MUST BE exactly aligned
                 bands[band_id] = rasters.collocate(reference, band_arr)
 

eoreader/utils.py

@@ -375,7 +375,7 @@ def stack_dict(
     bands: list, band_xds: xr.Dataset, save_as_int: bool, nodata: float, **kwargs
 ) -> (xr.DataArray, type):
     """
-    Stack a dictionnary containing bands in a DataArray
+    Stack a dictionary containing bands in a DataArray
 
     Args:
         bands (list): List of bands (to keep the right order of the stack)
@@ -396,7 +396,7 @@ def stack(
     band_xds: xr.Dataset, save_as_int: bool, nodata: float, **kwargs
 ) -> (xr.DataArray, type):
     """
-    Stack a dictionnary containing bands in a DataArray
+    Stack a dictionary containing bands in a DataArray
 
     Args:
         band_xds (xr.Dataset): Dataset containing the bands