PKG-INFO

 Metadata-Version: 1.2
 Name: PDAL
-Version: 2.2.1
+Version: 2.2.2
 Summary: Point cloud data processing
 Home-page: http://pdal.io
 Author: Howard Butler

VERSION.txt

-2.2.1
\ No newline at end of file

debian/changelog

+python-pdal (2.2.2+ds-1) unstable; urgency=medium
+
+  * New upstream release.
+
+ -- Bas Couwenberg <sebastic@debian.org>  Fri, 20 Sep 2019 06:50:01 +0200
+
 python-pdal (2.2.1+ds-1) unstable; urgency=medium
 
   * New upstream release.

pdal/PyArray.hpp

@@ -74,7 +74,7 @@ private:
     Array& operator=(Array const& rhs);
     Fields m_fields;
     bool m_rowMajor;
-    Shape m_shape;
+    Shape m_shape {};
     std::vector<std::unique_ptr<ArrayIter>> m_iterators;
 };
 

pdal/__init__.py

-__version__='2.2.1'
+__version__='2.2.2'
 
 from .pipeline import Pipeline
 from .array import Array

pdal/libpdalpython.pyx

@@ -106,7 +106,6 @@ cdef class PyPipeline:
         cdef Array* a
 
         if arrays is not None:
-            print("Looping arrays\n")
             for array in arrays:
                 a = new Array(array)
                 c_arrays.push_back(a)

setup.py

@@ -91,9 +91,6 @@ open_kwds = {}
 if sys.version_info >= (3,):
     open_kwds['encoding'] = 'utf-8'
 
-with open('VERSION.txt', 'w', **open_kwds) as fp:
-    fp.write(str(module_version))
-
 with open('README.rst', 'r', **open_kwds) as fp:
     readme = fp.read()
 

test/test_pipeline.py

@@ -159,6 +159,39 @@ class TestArrayLoad(PDALTest):
             self.assertEqual(len(data), 12)
             self.assertEqual(data['Intensity'].sum(), 1926)
 
+    def test_read_arrays(self):
+        """Can we read and filter data from a list of arrays to PDAL"""
+        if Version(pdal.info.version) < Version('1.8'):
+            return True
+
+        # just some dummy data
+        x_vals = [1.0, 2.0, 3.0, 4.0, 5.0]
+        y_vals = [6.0, 7.0, 8.0, 9.0, 10.0]
+        z_vals = [1.5, 3.5, 5.5, 7.5, 9.5]
+        test_data = np.array(
+            [(x, y, z) for x, y, z in zip(x_vals, y_vals, z_vals)],
+            dtype=[('X', np.float), ('Y', np.float), ('Z', np.float)]
+        )
+
+        pipeline = """
+        {
+            "pipeline": [
+                {
+                    "type":"filters.range",
+                    "limits":"X[2.5:4.5]"
+                }
+            ]
+        }
+        """
+
+        p = pdal.Pipeline(pipeline, arrays=[test_data,])
+        p.loglevel = 8
+        count = p.execute()
+        arrays = p.arrays
+        self.assertEqual(count, 2)
+        self.assertEqual(len(arrays), 1)
+
+
 class TestDimensions(PDALTest):
     def test_fetch_dimensions(self):
         """Ask PDAL for its valid dimensions list"""