update geotools in examples

Author: jesspav

.github/workflows/pyflink.yml

@@ -71,6 +71,6 @@ jobs:
       - run: uv add apache-flink==1.20.1 shapely attr setuptools
       - run: uv add pytest --dev
       - run: |
-          wget https://repo1.maven.org/maven2/org/datasyslab/geotools-wrapper/1.7.1-28.5/geotools-wrapper-1.7.1-28.5.jar
-          export SEDONA_PYFLINK_EXTRA_JARS=${PWD}/$(find flink-shaded/target -name sedona-flink*.jar),${PWD}/geotools-wrapper-1.7.1-28.5.jar
+          wget https://repo1.maven.org/maven2/org/datasyslab/geotools-wrapper/1.6.0-31.0/geotools-wrapper-1.6.0-31.0.jar
+          export SEDONA_PYFLINK_EXTRA_JARS=${PWD}/$(find flink-shaded/target -name sedona-flink*.jar),${PWD}/geotools-wrapper-1.6.0-31.0.jar
           (cd python; PYTHONPATH=$(pwd) uv run pytest -v -s ./tests/flink)

R/tests/testthat/test-data-interface-raster.R

@@ -192,6 +192,7 @@ test_that("Passed RS_Values with raster", {
     ) %>%
     select(val) %>%
     collect()
+  print(a) ## FIXME: delete after debugging
   expect_equal(
     a %>% as.list(),
     list(val = list(c(255, NA_real_)))

common/src/test/java/org/apache/sedona/common/FunctionsTest.java

@@ -4414,9 +4414,8 @@ public void subdivideInvalidMaxVertices() {
   }
 
   /**
-   * Computes the intersection over union (IoU) between two geometries. - Algorithm:
-   * area(intersection(a,b)) / area(b) - 1.0 indicates a perfect match, while 0.0 indicates no
-   * overlap.
+   * Computes the intersection over union (IoU) between two geometries. 1.0 indicates a perfect match,
+   * while 0.0 indicates no overlap.
    */
   private double intersectionOverUnion(Geometry expected, Geometry actual) {
     double intersectionArea = expected.intersection(actual).getArea();

examples/spark-sql/pom.xml

@@ -34,7 +34,7 @@
         <sedona.scope>compile</sedona.scope>
         <geotools.scope>compile</geotools.scope>
 
-        <geotools.version>28.2</geotools.version>
+        <geotools.version>${geotools.version}</geotools.version>
         <jt-jiffle.version>1.1.24</jt-jiffle.version>
         <spark.version>3.4.0</spark.version>
         <spark.compat.version>3.4</spark.compat.version>