[Git][debian-gis-team/xsar][master] 4 commits: New upstream version 2024.07.30

[Antonio Valentino (@antonio.valentino)]

Antonio Valentino pushed to branch master at Debian GIS Project / xsar


Commits:
988cb966 by Antonio Valentino at 2024-07-30T19:52:12+00:00
New upstream version 2024.07.30
- - - - -
dc9a728d by Antonio Valentino at 2024-07-30T19:52:16+00:00
Update upstream source from tag 'upstream/2024.07.30'

Update to upstream version '2024.07.30'
with Debian dir 28d9a85e048705c9823221d02d8980c1fdcd9c79
- - - - -
c7de4da6 by Antonio Valentino at 2024-07-30T19:52:55+00:00
New upstream release

- - - - -
327f1288 by Antonio Valentino at 2024-07-30T19:55:44+00:00
Set distribution to unstable

- - - - -


6 changed files:

- .git_archival.txt
- debian/changelog
- src/xsar/base_dataset.py
- src/xsar/radarsat2_dataset.py
- src/xsar/rcm_dataset.py
- src/xsar/sentinel1_dataset.py


Changes:

=====================================
.git_archival.txt
=====================================
@@ -1 +1 @@
-ref-names: HEAD -> develop, tag: 2024.06.24
\ No newline at end of file
+ref-names: HEAD -> develop, tag: 2024.07.30
\ No newline at end of file


=====================================
debian/changelog
=====================================
@@ -1,9 +1,12 @@
-xsar (2024.06.24-2) UNRELEASED; urgency=medium
+xsar (2024.07.30-1) unstable; urgency=medium
 
-  * Team upload.
+  [ Bas Couwenberg ]
   * Bump Standards-Version to 4.7.0, no changes.
 
- -- Bas Couwenberg <sebastic at debian.org>  Sun, 28 Jul 2024 20:07:43 +0200
+  [ Antonio Valentino ]
+  * New upstream release.
+
+ -- Antonio Valentino <antonio.valentino at tiscali.it>  Tue, 30 Jul 2024 19:55:27 +0000
 
 xsar (2024.06.24-1) unstable; urgency=medium
 


=====================================
src/xsar/base_dataset.py
=====================================
@@ -1,3 +1,4 @@
+import pdb
 import warnings
 from abc import ABC
 from datetime import datetime
@@ -300,10 +301,12 @@ class BaseDataset(ABC):
         #     lon_s = lon_s.values
         #     lat_s = lat_s.values
         cpt = 0
-        for line in line_decimated:
-            for sample in sample_decimated:
+        for line in line_decimated.astype(int):
+            for sample in sample_decimated.astype(int):
                 irow = np.argmin(np.abs(self.dataset.line.values - line))
+                irow = int(irow)
                 icol = np.argmin(np.abs(self.dataset.sample.values - sample))
+                icol = int(icol)
                 # if self.s1meta.product == 'SLC':
                 #     #lon, lat = self.coords2ll_SLC(line,sample)
                 #     lon = lon_s[cpt]


=====================================
src/xsar/radarsat2_dataset.py
=====================================
@@ -184,7 +184,7 @@ class RadarSat2Dataset(BaseDataset):
         # dataset no-pol template for function evaluation on coordinates (*no* values used)
         # what's matter here is the shape of the image, not the values.
         with warnings.catch_warnings():
-            warnings.simplefilter("ignore", np.ComplexWarning)
+            # warnings.simplefilter("ignore", np.ComplexWarning)
             self._da_tmpl = xr.DataArray(
                 dask.array.empty_like(
                     self._dataset.digital_number.isel(pol=0).drop('pol'),


=====================================
src/xsar/rcm_dataset.py
=====================================
@@ -176,7 +176,7 @@ class RcmDataset(BaseDataset):
         # dataset no-pol template for function evaluation on coordinates (*no* values used)
         # what's matter here is the shape of the image, not the values.
         with warnings.catch_warnings():
-            warnings.simplefilter("ignore", np.ComplexWarning)
+            # warnings.simplefilter("ignore", np.ComplexWarning)
             self._da_tmpl = xr.DataArray(
                 dask.array.empty_like(
                     self._dataset.digital_number.isel(pol=0).drop('pol'),


=====================================
src/xsar/sentinel1_dataset.py
=====================================
@@ -250,7 +250,7 @@ class Sentinel1Dataset(BaseDataset):
         # dataset no-pol template for function evaluation on coordinates (*no* values used)
         # what's matter here is the shape of the image, not the values.
         with warnings.catch_warnings():
-            warnings.simplefilter("ignore", np.ComplexWarning)
+            # warnings.simplefilter("ignore", np.ComplexWarning) # deprecated in numpy>=2.0.0
             if self.sar_meta._bursts['burst'].size != 0:
                 # SLC TOPS, tune the high res grid because of bursts overlapping
                 # line_time = self._burst_azitime



View it on GitLab: https://salsa.debian.org/debian-gis-team/xsar/-/compare/72efc3434a575840fc1d40c5eb94c99aeb2fee9e...327f1288b271c18a376c6e91d98b5ab58ade6f0d

-- 
View it on GitLab: https://salsa.debian.org/debian-gis-team/xsar/-/compare/72efc3434a575840fc1d40c5eb94c99aeb2fee9e...327f1288b271c18a376c6e91d98b5ab58ade6f0d
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