Revert making all raster.array non-public

geoutils/interface/raster_point.py

@@ -12,7 +12,7 @@
 
 import geoutils as gu
 from geoutils._typing import NDArrayNum
-from geoutils.raster.array import _get_mask_from_array
+from geoutils.raster.array import get_mask_from_array
 from geoutils.raster.georeferencing import _default_nodata, _xy2ij
 from geoutils.raster.sampling import subsample_array
 
@@ -168,11 +168,11 @@ def _raster_to_pointcloud(
     if skip_nodata:
         if source_raster.is_loaded:
             if source_raster.count == 1:
-                self_mask = _get_mask_from_array(
+                self_mask = get_mask_from_array(
                     source_raster.data
                 )  # This is to avoid the case where the mask is just "False"
             else:
-                self_mask = _get_mask_from_array(
+                self_mask = get_mask_from_array(
                     source_raster.data[data_band - 1, :, :]
                 )  # This is to avoid the case where the mask is just "False"
             valid_mask = ~self_mask

geoutils/raster/array.py

@@ -10,7 +10,7 @@
 from geoutils._typing import MArrayNum, NDArrayBool, NDArrayNum
 
 
-def _get_mask_from_array(array: NDArrayNum | NDArrayBool | MArrayNum) -> NDArrayBool:
+def get_mask_from_array(array: NDArrayNum | NDArrayBool | MArrayNum) -> NDArrayBool:
     """
     Return the mask of invalid values, whether array is a ndarray with NaNs or a np.ma.masked_array.
 
@@ -22,7 +22,7 @@ def _get_mask_from_array(array: NDArrayNum | NDArrayBool | MArrayNum) -> NDArray
     return mask.squeeze()
 
 
-def _get_array_and_mask(
+def get_array_and_mask(
     array: NDArrayNum | MArrayNum, check_shape: bool = True, copy: bool = True
 ) -> tuple[NDArrayNum, NDArrayBool]:
     """
@@ -59,19 +59,19 @@ def _get_array_and_mask(
     array_data = np.array(array).squeeze() if copy else np.asarray(array).squeeze()
 
     # Get the mask of invalid pixels and set nans if it is occupied.
-    invalid_mask = _get_mask_from_array(array)
+    invalid_mask = get_mask_from_array(array)
     if np.any(invalid_mask):
         array_data[invalid_mask] = np.nan
 
     return array_data, invalid_mask
 
 
-def _get_valid_extent(array: NDArrayNum | NDArrayBool | MArrayNum) -> tuple[int, ...]:
+def get_valid_extent(array: NDArrayNum | NDArrayBool | MArrayNum) -> tuple[int, ...]:
     """
     Return (rowmin, rowmax, colmin, colmax), the first/last row/column of array with valid pixels
     """
     if not array.dtype == "bool":
-        valid_mask = ~_get_mask_from_array(array)
+        valid_mask = ~get_mask_from_array(array)
     else:
         # Not sure why Mypy is not recognizing that the type of the array can only be bool here
         valid_mask = array  # type: ignore
@@ -80,7 +80,7 @@ def _get_valid_extent(array: NDArrayNum | NDArrayBool | MArrayNum) -> tuple[int,
     return rows_nonzero[0], rows_nonzero[-1], cols_nonzero[0], cols_nonzero[-1]
 
 
-def _get_xy_rotated(raster: gu.Raster, along_track_angle: float) -> tuple[NDArrayNum, NDArrayNum]:
+def get_xy_rotated(raster: gu.Raster, along_track_angle: float) -> tuple[NDArrayNum, NDArrayNum]:
     """
     Rotate x, y axes of image to get along- and cross-track distances.
     :param raster: Raster to get x,y positions from.

geoutils/raster/multiraster.py

@@ -12,7 +12,7 @@
 
 import geoutils as gu
 from geoutils._typing import NDArrayNum
-from geoutils.raster.array import _get_array_and_mask
+from geoutils.raster.array import get_array_and_mask
 from geoutils.raster.geotransformations import _resampling_method_from_str
 from geoutils.raster.raster import RasterType, _default_nodata
 
@@ -194,7 +194,7 @@ def stack_rasters(
         # Optionally calculate difference
         if diff:
             diff_to_ref = (reference_raster.data - reprojected_raster.data).squeeze()
-            diff_to_ref, _ = _get_array_and_mask(diff_to_ref)
+            diff_to_ref, _ = get_array_and_mask(diff_to_ref)
             data.append(diff_to_ref)
         else:
             # img_data, _ = get_array_and_mask(reprojected_raster.data.squeeze())

geoutils/raster/sampling.py

@@ -7,7 +7,7 @@
 import numpy as np
 
 from geoutils._typing import MArrayNum, NDArrayNum
-from geoutils.raster.array import _get_mask_from_array
+from geoutils.raster.array import get_mask_from_array
 
 
 @overload
@@ -60,7 +60,7 @@ def subsample_array(
     rng = np.random.default_rng(random_state)
 
     # Remove invalid values and flatten array
-    mask = _get_mask_from_array(array)  # -> need to remove .squeeze in get_mask
+    mask = get_mask_from_array(array)  # -> need to remove .squeeze in get_mask
     valids = np.argwhere(~mask.flatten()).squeeze()
 
     # Get number of points to extract

tests/test_raster/test_array.py

@@ -9,11 +9,7 @@
 import rasterio as rio
 
 import geoutils as gu
-from geoutils.raster.array import (
-    _get_array_and_mask,
-    _get_valid_extent,
-    _get_xy_rotated,
-)
+from geoutils.raster.array import get_array_and_mask, get_valid_extent, get_xy_rotated
 
 
 class TestArray:
@@ -59,13 +55,13 @@ def test_get_array_and_mask(
         # Validate that incorrect shapes raise the correct error.
         if not check_should_pass:
             with pytest.raises(ValueError, match="Invalid array shape given"):
-                _get_array_and_mask(array, check_shape=True)
+                get_array_and_mask(array, check_shape=True)
 
             # Stop the test here as the failure is now validated.
             return
 
         # Get a copy of the array and check its shape (it should always pass at this point)
-        arr, _ = _get_array_and_mask(array, copy=True, check_shape=True)
+        arr, _ = get_array_and_mask(array, copy=True, check_shape=True)
 
         # Validate that the array is a copy
         assert not np.shares_memory(arr, array)
@@ -82,7 +78,7 @@ def test_get_array_and_mask(
             warnings.simplefilter("always")
 
             # Try to create a view.
-            arr_view, mask = _get_array_and_mask(array, copy=False)
+            arr_view, mask = get_array_and_mask(array, copy=False)
 
             # If it should be possible, validate that there were no warnings.
             if view_should_be_possible:
@@ -108,36 +104,36 @@ def test_get_valid_extent(self) -> None:
 
         # For no invalid values, the function should return the edges
         # For the array
-        assert (0, 4, 0, 4) == _get_valid_extent(arr)
+        assert (0, 4, 0, 4) == get_valid_extent(arr)
         # For the masked-array
-        assert (0, 4, 0, 4) == _get_valid_extent(mask_ma)
+        assert (0, 4, 0, 4) == get_valid_extent(mask_ma)
 
         # 1/ First column:
         # If we mask it in the masked array
         mask_ma[0, :] = np.ma.masked
-        assert (1, 4, 0, 4) == _get_valid_extent(mask_ma)
+        assert (1, 4, 0, 4) == get_valid_extent(mask_ma)
 
         # If we changed the array to NaNs
         arr[0, :] = np.nan
-        assert (1, 4, 0, 4) == _get_valid_extent(arr)
+        assert (1, 4, 0, 4) == get_valid_extent(arr)
         mask_ma.data[0, :] = np.nan
         mask_ma.mask = False
-        assert (1, 4, 0, 4) == _get_valid_extent(mask_ma)
+        assert (1, 4, 0, 4) == get_valid_extent(mask_ma)
 
         # 2/ First row:
         arr = np.ones(shape=(5, 5))
         arr_mask = np.zeros(shape=(5, 5), dtype=bool)
         mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
         # If we mask it in the masked array
         mask_ma[:, 0] = np.ma.masked
-        assert (0, 4, 1, 4) == _get_valid_extent(mask_ma)
+        assert (0, 4, 1, 4) == get_valid_extent(mask_ma)
 
         # If we changed the array to NaNs
         arr[:, 0] = np.nan
-        assert (0, 4, 1, 4) == _get_valid_extent(arr)
+        assert (0, 4, 1, 4) == get_valid_extent(arr)
         mask_ma.data[:, 0] = np.nan
         mask_ma.mask = False
-        assert (0, 4, 1, 4) == _get_valid_extent(mask_ma)
+        assert (0, 4, 1, 4) == get_valid_extent(mask_ma)
 
         # 3/ Last column:
         arr = np.ones(shape=(5, 5))
@@ -146,14 +142,14 @@ def test_get_valid_extent(self) -> None:
 
         # If we mask it in the masked array
         mask_ma[-1, :] = np.ma.masked
-        assert (0, 3, 0, 4) == _get_valid_extent(mask_ma)
+        assert (0, 3, 0, 4) == get_valid_extent(mask_ma)
 
         # If we changed the array to NaNs
         arr[-1, :] = np.nan
-        assert (0, 3, 0, 4) == _get_valid_extent(arr)
+        assert (0, 3, 0, 4) == get_valid_extent(arr)
         mask_ma.data[-1, :] = np.nan
         mask_ma.mask = False
-        assert (0, 3, 0, 4) == _get_valid_extent(mask_ma)
+        assert (0, 3, 0, 4) == get_valid_extent(mask_ma)
 
         # 4/ Last row:
         arr = np.ones(shape=(5, 5))
@@ -162,14 +158,14 @@ def test_get_valid_extent(self) -> None:
 
         # If we mask it in the masked array
         mask_ma[:, -1] = np.ma.masked
-        assert (0, 4, 0, 3) == _get_valid_extent(mask_ma)
+        assert (0, 4, 0, 3) == get_valid_extent(mask_ma)
 
         # If we changed the array to NaNs
         arr[:, -1] = np.nan
-        assert (0, 4, 0, 3) == _get_valid_extent(arr)
+        assert (0, 4, 0, 3) == get_valid_extent(arr)
         mask_ma.data[:, -1] = np.nan
         mask_ma.mask = False
-        assert (0, 4, 0, 3) == _get_valid_extent(mask_ma)
+        assert (0, 4, 0, 3) == get_valid_extent(mask_ma)
 
     def test_get_xy_rotated(self) -> None:
         """Check the function to rotate array."""
@@ -184,27 +180,27 @@ def test_get_xy_rotated(self) -> None:
         xx, yy = r1.coords(grid=True, force_offset="ll")
 
         # Rotating the coordinates 90 degrees should be the same as rotating the array
-        xx90, yy90 = _get_xy_rotated(r1, along_track_angle=90)
+        xx90, yy90 = get_xy_rotated(r1, along_track_angle=90)
         assert np.allclose(np.rot90(xx90), xx)
         assert np.allclose(np.rot90(yy90), yy)
 
         # Same for 180 degrees
-        xx180, yy180 = _get_xy_rotated(r1, along_track_angle=180)
+        xx180, yy180 = get_xy_rotated(r1, along_track_angle=180)
         assert np.allclose(np.rot90(xx180, k=2), xx)
         assert np.allclose(np.rot90(yy180, k=2), yy)
 
         # Same for 270 degrees
-        xx270, yy270 = _get_xy_rotated(r1, along_track_angle=270)
+        xx270, yy270 = get_xy_rotated(r1, along_track_angle=270)
         assert np.allclose(np.rot90(xx270, k=3), xx)
         assert np.allclose(np.rot90(yy270, k=3), yy)
 
         # 360 degrees should get us back on our feet
-        xx360, yy360 = _get_xy_rotated(r1, along_track_angle=360)
+        xx360, yy360 = get_xy_rotated(r1, along_track_angle=360)
         assert np.allclose(xx360, xx)
         assert np.allclose(yy360, yy)
 
         # Test that the values make sense for 45 degrees
-        xx45, yy45 = _get_xy_rotated(r1, along_track_angle=45)
+        xx45, yy45 = get_xy_rotated(r1, along_track_angle=45)
         # Should have zero on the upper left corner for xx
         assert xx45[0, 0] == pytest.approx(0)
         # Then a multiple of sqrt2 along each dimension
@@ -215,4 +211,4 @@ def test_get_xy_rotated(self) -> None:
         # Finally, yy should be rotated by 90
         assert np.allclose(np.rot90(xx45), yy45)
 
-        xx, yy = _get_xy_rotated(r1, along_track_angle=90)
+        xx, yy = get_xy_rotated(r1, along_track_angle=90)

tests/test_raster/test_raster.py

@@ -1009,7 +1009,7 @@ def test_copy(self, example: str) -> None:
 
         # When passing the new array as a NaN ndarray, only the valid data is equal, because masked data is NaN in one
         # case, and -9999 in the other
-        r_arr = gu.raster.array._get_array_and_mask(r)[0]
+        r_arr = gu.raster.array.get_array_and_mask(r)[0]
         r2 = r.copy(new_array=r_arr)
         assert np.ma.allequal(r.data, r2.data)
         # If a nodata value exists, and we update the NaN pixels to be that nodata value, then the two Rasters should