Python bindings: honour GDAL_PYTHON_BINDINGS_WITHOUT_NUMPY=YES/1/ON/TRUE or NO/0/OFF/FALSE

autotest/alg/sieve.py

@@ -176,6 +176,7 @@ def test_sieve_5():
 
 def test_sieve_6():
 
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     # Try 3002. Should run in less than 10 seconds

autotest/alg/transformgeoloc.py

@@ -24,6 +24,7 @@
 
 def test_transformgeoloc_1():
 
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     # Setup 2x2 geolocation arrays in a memory dataset with lat/long values.

autotest/alg/warp.py

@@ -1175,6 +1175,7 @@ def test_warp_weighted_average():
 )
 def test_warp_weighted_mode(dtype):
 
+    pytest.importorskip("osgeo.gdal_array")
     np = pytest.importorskip("numpy")
 
     with gdal.GetDriverByName("MEM").Create("", 3, 3, eType=dtype) as src_ds:
@@ -1563,6 +1564,7 @@ def test_warp_55():
 @pytest.mark.parametrize("use_optim", ["YES", "NO"])
 def test_warp_56(use_optim):
 
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     pix_ds = gdal.GetDriverByName("MEM").Create("", 1, 1)
@@ -1660,6 +1662,8 @@ def test_warp_rms_2():
 @pytest.mark.parametrize("tie_strategy", ("FIRST", "MIN", "MAX", "HOPE"))
 @pytest.mark.parametrize("dtype", (gdal.GDT_Int16, gdal.GDT_Int32))
 def test_warp_mode_ties(tie_strategy, dtype):
+
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     # 1 and 5 are tied for the mode; 1 encountered first

autotest/gcore/hfa_rfc40.py

@@ -24,7 +24,7 @@
 
 # All tests will be skipped if numpy is unavailable.
 np = pytest.importorskip("numpy")
-
+pytest.importorskip("osgeo.gdal_array")
 
 INT_DATA = np.array([197, 83, 46, 29, 1, 78, 23, 90, 12, 45])
 DOUBLE_DATA = np.array([0.1, 43.2, 78.1, 9.9, 23.0, 0.92, 82.5, 0.0, 1.0, 99.0])

autotest/gcore/interpolateatpoint.py

@@ -68,10 +68,13 @@ def test_interpolateatpoint_throw():
 
 def test_interpolateatpoint_2_bands():
 
+    pytest.importorskip("osgeo.gdal_array")
+    np = pytest.importorskip("numpy")
+
     mem_ds = gdal.GetDriverByName("MEM").Create(
         "", xsize=2, ysize=2, bands=2, eType=gdal.GDT_Float32
     )
-    np = pytest.importorskip("numpy")
+
     # First band with values values
     raster_array_1 = np.array(([10.5, 1.3], [2.4, 3.8]))
     mem_ds.GetRasterBand(1).WriteArray(raster_array_1)
@@ -94,10 +97,12 @@ def test_interpolateatpoint_2_bands():
 
 def test_interpolateatpoint_bilinear_several_points():
 
+    pytest.importorskip("osgeo.gdal_array")
+    np = pytest.importorskip("numpy")
+
     mem_ds = gdal.GetDriverByName("MEM").Create(
         "", xsize=3, ysize=2, bands=1, eType=gdal.GDT_Float32
     )
-    np = pytest.importorskip("numpy")
     raster_array_1 = np.array(([10.5, 1.3, 0.5], [2.4, 3.8, -1.0]))
     mem_ds.GetRasterBand(1).WriteArray(raster_array_1)
 
@@ -131,10 +136,12 @@ def test_interpolateatpoint_bilinear_several_points():
 
 def test_interpolateatpoint_cubicspline_several_points():
 
+    pytest.importorskip("osgeo.gdal_array")
+    np = pytest.importorskip("numpy")
+
     mem_ds = gdal.GetDriverByName("MEM").Create(
         "", xsize=4, ysize=4, bands=1, eType=gdal.GDT_Float32
     )
-    np = pytest.importorskip("numpy")
     raster_array_1 = np.array(
         (
             [1.0, 2.0, 1.5, -0.3],
@@ -160,10 +167,12 @@ def test_interpolateatpoint_cubicspline_several_points():
 
 def test_interpolateatpoint_cubic_several_points():
 
+    pytest.importorskip("osgeo.gdal_array")
+    np = pytest.importorskip("numpy")
+
     mem_ds = gdal.GetDriverByName("MEM").Create(
         "", xsize=4, ysize=4, bands=1, eType=gdal.GDT_Float32
     )
-    np = pytest.importorskip("numpy")
     raster_array_1 = np.array(
         (
             [1.0, 2.0, 1.5, -0.3],
@@ -196,10 +205,12 @@ def test_interpolateatpoint_cubic_several_points():
 
 def test_interpolateatpoint_at_borders():
 
+    pytest.importorskip("osgeo.gdal_array")
+    np = pytest.importorskip("numpy")
+
     mem_ds = gdal.GetDriverByName("MEM").Create(
         "", xsize=6, ysize=5, bands=1, eType=gdal.GDT_Float32
     )
-    np = pytest.importorskip("numpy")
     raster_array_1 = np.array(
         (
             [1, 2, 4, 4, 5, 6],

autotest/gcore/pixfun.py

@@ -25,7 +25,7 @@
 
 # All tests will be skipped if numpy is unavailable.
 numpy = pytest.importorskip("numpy")
-
+pytest.importorskip("osgeo.gdal_array")
 
 ###############################################################################
 # Verify real part extraction from a complex dataset.

autotest/gcore/rasterio.py

@@ -709,6 +709,7 @@ def test_rasterio_9():
 
 def test_rasterio_overview_subpixel_resampling():
 
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     temp_path = "/vsimem/rasterio_ovr.tif"
@@ -774,6 +775,8 @@ def test_rasterio_10():
 
 
 def test_rasterio_11():
+
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     mem_ds = gdal.GetDriverByName("MEM").Create("", 4, 3)
@@ -810,6 +813,8 @@ def rasterio_12_progress_callback(pct, message, user_data):
 
 
 def test_rasterio_12():
+
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     mem_ds = gdal.GetDriverByName("MEM").Create("", 4, 3, 4)
@@ -878,6 +883,8 @@ def test_rasterio_12():
     ],
 )
 def test_rasterio_13(dt):
+
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     dt = gdal.GetDataTypeByName(dt)
@@ -1206,6 +1213,8 @@ def test_rasterio_16():
 
 
 def test_rasterio_nodata():
+
+    pytest.importorskip("osgeo.gdal_array")
     pytest.importorskip("numpy")
 
     ndv = 123
@@ -1413,6 +1422,8 @@ def test_rasterio_resampled_value_is_nodata():
 
 
 def test_rasterio_dataset_readarray_cint16():
+
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     mem_ds = gdal.GetDriverByName("MEM").Create("", 1, 1, 2, gdal.GDT_CInt16)
@@ -1488,6 +1499,8 @@ def test_rasterio_floating_point_window_no_resampling():
 
 def test_rasterio_floating_point_window_no_resampling_numpy():
     # Same as above but using ReadAsArray() instead of ReadRaster()
+
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     ds = gdal.Translate(
@@ -3158,6 +3171,8 @@ def test_rasterio_gdal_rasterio_resampling():
 
 
 def test_rasterio_numpy_datatypes_for_xoff():
+
+    pytest.importorskip("osgeo.gdal_array")
     np = pytest.importorskip("numpy")
 
     ds = gdal.Open("data/byte.tif")

autotest/gcore/tiff_ovr.py

@@ -2472,6 +2472,7 @@ def test_tiff_ovr_color_table_bug_3336_bis():
 
 def test_tiff_ovr_nodata_multiband():
 
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     temp_path = "/vsimem/test.tif"

autotest/gcore/tiff_write.py

@@ -149,6 +149,7 @@ def test_tiff_write_3():
 
 def test_tiff_write_4():
 
+    pytest.importorskip("osgeo.gdal_array")
     np = pytest.importorskip("numpy")
 
     options = ["TILED=YES", "BLOCKXSIZE=32", "BLOCKYSIZE=32"]

autotest/gcore/virtualmem.py

@@ -19,7 +19,9 @@
 from osgeo import gdal
 
 # All tests will be skipped if numpy unavailable or SKIP_VIRTUALMEM is set.
+pytest.importorskip("osgeo.gdal_array")
 numpy = pytest.importorskip("numpy")
+
 pytestmark = pytest.mark.skipif(
     gdal.GetConfigOption("SKIP_VIRTUALMEM"), reason="SKIP_VIRTUALMEM is set in config"
 )

autotest/gcore/vrt_read.py

@@ -128,6 +128,7 @@ def test_vrt_read_3():
 
 def test_vrt_read_4():
 
+    pytest.importorskip("osgeo.gdal_array")
     np = pytest.importorskip("numpy")
 
     data = np.zeros((1, 1), np.complex64)
@@ -961,6 +962,7 @@ def test_vrt_read_22():
 
 def test_vrt_read_23():
 
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     mem_ds = gdal.GetDriverByName("GTiff").Create("/vsimem/vrt_read_23.tif", 2, 1)

autotest/gdrivers/lcp.py

@@ -849,6 +849,8 @@ def test_lcp_21():
 
 
 def test_lcp_22():
+
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     mem_drv = gdal.GetDriverByName("MEM")

autotest/gdrivers/memmultidim.py

@@ -2038,6 +2038,10 @@ def test_mem_md_array_get_mask():
     try:
         import numpy
 
+        from osgeo import gdal_array
+
+        str(gdal_array)
+
         has_numpy = True
     except ImportError:
         has_numpy = False

autotest/gdrivers/netcdf.py

@@ -2920,10 +2920,8 @@ def test_netcdf_66(tmp_path):
 
 def test_netcdf_67():
 
-    try:
-        import numpy
-    except ImportError:
-        pytest.skip()
+    pytest.importorskip("osgeo.gdal_array")
+    numpy = pytest.importorskip("numpy")
 
     # disable bottom-up mode to use the real file's blocks size
     with gdal.config_option("GDAL_NETCDF_BOTTOMUP", "NO"):

autotest/gdrivers/rmf.py

@@ -702,6 +702,8 @@ def rmf_31e_data_gen(min_val, max_val, stripeSize, sx):
 
 
 def test_rmf_31e():
+
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     drv = gdal.GetDriverByName("Gtiff")
@@ -846,6 +848,8 @@ def test_rmf_33c():
 
 
 def test_rmf_34():
+
+    pytest.importorskip("osgeo.gdal_array")
     numpy = pytest.importorskip("numpy")
 
     drv = gdal.GetDriverByName("RMF")

autotest/gdrivers/tiledb_write.py

@@ -73,6 +73,8 @@ def test_tiledb_write_custom_blocksize(tmp_path, mode):
 
 @pytest.mark.parametrize("mode", ["BAND", "PIXEL"])
 def test_tiledb_write_update(tmp_path, mode):
+
+    pytest.importorskip("osgeo.gdal_array")
     np = pytest.importorskip("numpy")
 
     gdaltest.tiledb_drv = gdal.GetDriverByName("TileDB")
@@ -240,6 +242,8 @@ def test_tiledb_write_band_meta(tmp_path, mode):
 
 @pytest.mark.parametrize("mode", ["BAND", "PIXEL"])
 def test_tiledb_write_history(tmp_path, mode):
+
+    pytest.importorskip("osgeo.gdal_array")
     np = pytest.importorskip("numpy")
 
     options = ["INTERLEAVE=%s" % (mode), "TILEDB_TIMESTAMP=1"]