Repository: SCECcode/pycsep (language: python)

Issue:
add new-zealand and japan testing regions
for completeness, we should add these testing regions to the package. 


Discussion / hints:
That would be awesome!
Hi @KennyGraham1! Thanks for the feedback. I'm bumping this to try and include in next pyCSEP release. 
@wsavran Awesome!! I would be keen to contribute towards this. Kindly let me know how I could. My interest is in New Zealand.
Sounds good Kenny, sorry for the late reply. We had a holiday here last week. I will let you know if I need any help here. I"ll be using the old CSEP testing and collection regions that I should have here. If not, I'll let you know. 

Fix patch:
diff --git a/csep/artifacts/Regions/nz.collection.nodes.dat b/csep/artifacts/Regions/nz.collection.nodes.dat
new file mode 100644
index 00000000..6dd942d5
--- /dev/null
+++ b/csep/artifacts/Regions/nz.collection.nodes.dat
@@ -0,0 +1,9029 @@
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diff --git a/csep/core/regions.py b/csep/core/regions.py
index 05c69747..73aa9123 100644
--- a/csep/core/regions.py
+++ b/csep/core/regions.py
@@ -192,6 +192,90 @@ def italy_csep_collection_region(dh_scale=1, magnitudes=None, name="csep-italy-c
 
     return relm_region
 
+def nz_csep_region(dh_scale=1, magnitudes=None, name="csep-nz", use_midpoint=True):
+    """ Return collection region for the New Zealand CSEP testing region
+
+    Args:
+        dh_scale (int): factor of two multiple to change the grid size
+        mangitudes (array-like): array representing the lower bin edges of the magnitude bins
+        name (str): human readable identifer
+        use_midpoints (bool): if true, treat values in file as midpoints. default = true.
+
+    Returns:
+        :class:`csep.core.spatial.CartesianGrid2D`
+
+    Raises:
+        ValueError: dh_scale must be a factor of two
+
+    """
+    if dh_scale % 2 != 0 and dh_scale != 1:
+        raise ValueError("dh_scale must be a factor of two or dh_scale must equal unity.")
+
+    # we can hard-code the dh because we hard-code the filename
+    dh = 0.1
+    root_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+    filepath = os.path.join(root_dir, 'artifacts', 'Regions', 'nz.testing.nodes.dat')
+    points = numpy.loadtxt(filepath)
+    if use_midpoint:
+        origins = numpy.array(points) - dh / 2
+    else:
+        origins = numpy.array(points)
+
+    if dh_scale > 1:
+        origins = increase_grid_resolution(origins, dh, dh_scale)
+        dh = dh / dh_scale
+
+    # turn points into polygons and make region object
+    bboxes = compute_vertices(origins, dh)
+    nz_region = CartesianGrid2D([Polygon(bbox) for bbox in bboxes], dh, name=name)
+
+    if magnitudes is not None:
+        nz_region.magnitudes = magnitudes
+
+    return nz_region
+
+def nz_csep_collection_region(dh_scale=1, magnitudes=None, name="csep-nz-collection", use_midpoint=True):
+    """ Return collection region for the New Zealand CSEP collection region
+
+    Args:
+        dh_scale (int): factor of two multiple to change the grid size
+        mangitudes (array-like): array representing the lower bin edges of the magnitude bins
+        name (str): human readable identifer
+        use_midpoints (bool): if true, treat values in file as midpoints. default = true.
+
+    Returns:
+        :class:`csep.core.spatial.CartesianGrid2D`
+
+    Raises:
+        ValueError: dh_scale must be a factor of two
+
+    """
+    if dh_scale % 2 != 0 and dh_scale != 1:
+        raise ValueError("dh_scale must be a factor of two or dh_scale must equal unity.")
+
+    # we can hard-code the dh because we hard-code the filename
+    dh = 0.1
+    root_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+    filepath = os.path.join(root_dir, 'artifacts', 'Regions', 'nz.collection.nodes.dat')
+    points = numpy.loadtxt(filepath)
+    if use_midpoint:
+        origins = numpy.array(points) - dh / 2
+    else:
+        origins = numpy.array(points)
+
+    if dh_scale > 1:
+        origins = increase_grid_resolution(origins, dh, dh_scale)
+        dh = dh / dh_scale
+
+    # turn points into polygons and make region object
+    bboxes = compute_vertices(origins, dh)
+    nz_collection_region = CartesianGrid2D([Polygon(bbox) for bbox in bboxes], dh, name=name)
+
+    if magnitudes is not None:
+        nz_collection_region.magnitudes = magnitudes
+
+    return nz_collection_region
+
 def global_region(dh=0.1, name="global", magnitudes=None):
     """ Creates a global region used for evaluating gridded forecasts on the global scale.
 


Test patch:
diff --git a/csep/artifacts/Regions/nz.testing.nodes.dat b/csep/artifacts/Regions/nz.testing.nodes.dat
new file mode 100644
index 00000000..c4e876b9
--- /dev/null
+++ b/csep/artifacts/Regions/nz.testing.nodes.dat
@@ -0,0 +1,6343 @@
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diff --git a/tests/artifacts/regions/NZTestArea.dat b/tests/artifacts/regions/NZTestArea.dat
new file mode 100644
index 00000000..c4e876b9
--- /dev/null
+++ b/tests/artifacts/regions/NZTestArea.dat
@@ -0,0 +1,6343 @@
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diff --git a/tests/test_regions.py b/tests/test_regions.py
index ac5921ec..a1e2cced 100644
--- a/tests/test_regions.py
+++ b/tests/test_regions.py
@@ -3,7 +3,7 @@
 
 import numpy
 
-from csep.core.regions import italy_csep_region, california_relm_region
+from csep.core.regions import italy_csep_region, california_relm_region, nz_csep_region
 
 def get_italy_region_fname():
     root_dir = os.path.dirname(os.path.abspath(__file__))
@@ -15,6 +15,11 @@ def get_california_region_fname():
     data_dir = os.path.join(root_dir, 'artifacts', 'regions', 'RELMTestArea.dat')
     return data_dir
 
+def get_nz_region_fname():
+    root_dir = os.path.dirname(os.path.abspath(__file__))
+    data_dir = os.path.join(root_dir, 'artifacts', 'regions', 'NZTestArea.dat')
+    return data_dir
+
 class TestItalyRegion(unittest.TestCase):
 
     def __init__(self, *args, **kwargs):
@@ -58,4 +63,26 @@ def test_origins(self):
 
     def test_eq_oper(self):
         r = california_relm_region()
-        assert self.r == r
\ No newline at end of file
+        assert self.r == r
+
+class TestNZRegion(unittest.TestCase):
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+
+    def setUp(self):
+
+        self.from_dat = numpy.loadtxt(get_nz_region_fname())
+        self.num_nodes = len(self.from_dat)
+
+    def test_node_count(self):
+        """ Ensures the node counts are consistent between the two files. """
+        r = nz_csep_region()
+        self.assertEqual(self.num_nodes, r.num_nodes)
+
+
+    def test_origins(self):
+        """ Compares XML file against the simple .dat file containing the region. """
+        r = nz_csep_region()
+        # they dont have to be in the same order, but they need
+        numpy.testing.assert_array_equal(r.midpoints().sort(), self.from_dat.sort())