Merge pull request #413 from JamesParrott/Test_shp_files_roundtrip

v3.0.13. Don't error when reading empty shp files (bug fix).

Author: JamesParrott

README.md

@@ -8,8 +8,8 @@ The Python Shapefile Library (PyShp) reads and writes ESRI Shapefiles in pure Py
 
 - **Author**: [Joel Lawhead](https://github.com/GeospatialPython)
 - **Maintainers**: [James Parrott](https://github.com/JamesParrott) & [Karim Bahgat](https://github.com/karimbahgat)
-- **Version**: 3.0.12
-- **Date**: 5th June 2026
+- **Version**: 3.0.13
+- **Date**: 19th June 2026
 - **License**: [MIT](https://github.com/GeospatialPython/pyshp/blob/master/LICENSE.TXT)
 
 ## Contents
@@ -93,6 +93,12 @@ part of your geospatial project.
 
 # Version Changes
 
+## 3.0.13
+### Bug fix
+ - Fix bug when reading empty shp files.
+### Testing
+ - Add round trip tests for Multipatch and shp files (both passed).
+
 ## 3.0.12
 ### Data consistency
  - Add Shape.points_2D and Shape.points_3D properties - lists of guaranteed length tuples (2 and 3 respectively).

changelog.txt

@@ -1,3 +1,13 @@
+VERSION 3.0.13
+
+2026-06-19
+	Bug fix
+	* Fix bug when reading empty shp files.
+
+	Testing
+	* Add round trip tests for Multipatch and shp files (both passed).
+
+
 VERSION 3.0.12
 
 2026-06-05

src/shapefile.py

@@ -8,7 +8,7 @@
 
 from __future__ import annotations
 
-__version__ = "3.0.12"
+__version__ = "3.0.13"
 
 import abc
 import array
@@ -3141,6 +3141,8 @@ def iterShapes(
             # MAYBE: check if more left of file or exit early?
             return
 
+        n = 0  # counter for num of actual shapes found
+
         # No shx file, unknown nr of shapes
         # Instead iterate until reach end of file
         # Calculate the offset indices during iteration
@@ -3149,10 +3151,10 @@ def iterShapes(
             shape = self._shape(shape_len_B=shape_len_B, oid=i, bbox=bbox)
             # # pos = self.file.tell()
             # pos += num_bytes
+            n += 1
             if shape is not None or outside_bbox_as_None:
                 yield shape
 
-        n = i + 1  # num shapes yielded, having iterated over entire shp file.
         assert n == len(self.headers_cache), f"{n=}, {len(self.headers_cache)=}"
 
 

tests/hypothesis_tests.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import io
+import itertools
 
 import pytest
 from hypothesis import HealthCheck, given, settings
@@ -27,14 +28,14 @@
 PointsLengths = integers(min_value=1, max_value=8000)  # length of points
 oid = one_of(none(), integers(min_value=0))
 point_2D = builds(shp.Point, x=xs, y=ys, oid=oid)
-pointM = builds(
+pointm = builds(
     shp.PointM,
     x=xs,
     y=ys,
     m=ms,
     oid=oid,
 )
-pointZ = builds(
+pointz = builds(
     shp.PointZ,
     x=xs,
     y=ys,
@@ -79,7 +80,7 @@ def test_Point_2D_roundtrips(
 
 
 @pytest.mark.hypothesis
-@given(expected=pointM, i=integers(min_value=1))
+@given(expected=pointm, i=integers(min_value=1))
 def test_PointM_roundtrips(
     expected: shp.Point,
     i: int,
@@ -103,7 +104,7 @@ def test_PointM_roundtrips(
 
 
 @pytest.mark.hypothesis
-@given(expected=pointZ, i=integers(min_value=1))
+@given(expected=pointz, i=integers(min_value=1))
 def test_PointZ_roundtrips(
     expected: shp.Point,
     i: int,
@@ -159,11 +160,11 @@ def multipointM_from_xyms(point_ms: tuple[float, float, float | None], oid_: int
     xy_vals = zip(x_vals, y_vals)
     return shp.MultiPointM(points=list(xy_vals), m=list(m_vals), oid=oid_)
 
-multipointM = builds(multipointM_from_xyms, lists(tuples(xs, ys, ms), min_size=1), oid)
+multipointm = builds(multipointM_from_xyms, lists(tuples(xs, ys, ms), min_size=1), oid)
 
 @pytest.mark.hypothesis
-@settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
-@given(expected=multipointM, i=integers(min_value=1))
+# @settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
+@given(expected=multipointm, i=integers(min_value=1))
 def test_MultiPointM_roundtrips(
     expected: shp.MultiPointM,
     i: int,
@@ -195,7 +196,7 @@ def multipointZ_from_xyzms(pointz_ms: tuple[float, float, float, float | None],
 
 
 @pytest.mark.hypothesis
-@settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
+# @settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
 @given(expected=multipointz, i=integers(min_value=1))
 def test_MultiPointZ_roundtrips(
     expected: shp.MultiPointZ,
@@ -247,7 +248,7 @@ def test_Polyline_roundtrips(
     assert actual.oid == expected.oid
 
 @pytest.mark.hypothesis
-@settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
+# @settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
 @given(expected=polylinem, i=integers(min_value=1))
 def test_PolylineM_roundtrips(
     expected: shp.PolylineM,
@@ -272,7 +273,7 @@ def test_PolylineM_roundtrips(
     assert actual.oid == expected.oid
 
 @pytest.mark.hypothesis
-@settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
+# @settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
 @given(expected=polylinez, i=integers(min_value=1))
 def test_PolylineZ_roundtrips(
     expected: shp.PolylineZ,
@@ -326,7 +327,7 @@ def test_Polygon_roundtrips(
     assert actual.oid == expected.oid
 
 @pytest.mark.hypothesis
-@settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
+# @settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
 @given(expected=polygonm, i=integers(min_value=1))
 def test_PolygonM_roundtrips(
     expected: shp.PolygonM,
@@ -351,7 +352,7 @@ def test_PolygonM_roundtrips(
     assert actual.oid == expected.oid
 
 @pytest.mark.hypothesis
-@settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
+# @settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
 @given(expected=polygonz, i=integers(min_value=1))
 def test_PolygonZ_roundtrips(
     expected: shp.PolygonZ,
@@ -385,20 +386,14 @@ def multipatch_from_xyzms_and_types(
     xyzm_vals, p_types = zip(*xyzms_and_types)
     return shp.MultiPatch(lines = xyzm_vals, partTypes = p_types, oid=oid)
 
-multipatches = builds(
+multipatch = builds(
     multipatch_from_xyzms_and_types,
     lists(tuples(lists(tuples(xs, ys, zs, ms), min_size=1), part_types), min_size=1), oid)
-# @composite
-# def multipatches(draw):
-#     N = draw(PointsLengths)
-#     p_types = draw(lists(part_types, min_size=N, max_size=N))
-#     patches = draw(lists(lists(tuples(xs, ys, zs, ms), min_size=1), min_size=N, max_size=N))
-#     return shp.MultiPatch(lines = patches, partTypes = p_types, oid=oid)
 
 
 @pytest.mark.hypothesis
-@settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
-@given(expected=multipatches, i=integers(min_value=1))
+# @settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
+@given(expected=multipatch, i=integers(min_value=1))
 def test_MultiPatch_roundtrips(
     expected: shp.MultiPatch,
     i: int,
@@ -421,4 +416,70 @@ def test_MultiPatch_roundtrips(
     assert actual.m == expected.m, f"{type(actual.m)=}, {type(expected.m)=}"
     assert actual.z == expected.z,  f"{type(actual.z)=}, {type(expected.z)=}"
     assert actual.oid == expected.oid
-    assert actual.partTypes == expected.partTypes, f"{type(actual.partTypes)=}, {type(expected.partTypes)=}"
+    assert actual.partTypes == expected.partTypes, f"{type(actual.partTypes)=}, {type(expected.partTypes)=}"
+
+
+shape_codes_names_and_strategies = [
+# (0, "Null Shape"),
+(1, "Point", point_2D),
+(3, "PolyLine", polyline),
+(5, "Polygon", polygon),
+(8, "MultiPoint", multipoint),
+(11, "PointZ", pointz),
+(13, "PolyLineZ", polylinez),
+(15, "PolygonZ", polygonz),
+(18, "MultiPointZ", multipointz),
+(21, "PointM", pointm),
+(23, "PolyLineM", polylinem),
+(25, "PolygonM", polygonm),
+(28, "MultiPointM", multipointm),
+(31, "MultiPatch", multipatch),
+]
+
+def code_and_shape_strat_from_triple(t):
+    x, _name, shapes  = t
+    return tuples(just(x), lists(shapes, min_size = 0))  # Empty shp files are in the esri spec.
+
+codes_and_shapes_strats = [
+    code_and_shape_strat_from_triple(t)
+    for t in shape_codes_names_and_strategies
+]
+
+codes_and_shapes = one_of(codes_and_shapes_strats)
+
+@pytest.mark.hypothesis
+# @settings(suppress_health_check=[HealthCheck.too_slow, HealthCheck.data_too_large])
+@given(codes_and_shapes=codes_and_shapes)
+def test_shp_reader_writer_roundtrip(codes_and_shapes)-> None:
+    code_ex, expected_shapes = codes_and_shapes
+    stream = io.BytesIO()
+    with shp.ShpWriter(shp=stream, shapeType=code_ex) as w:
+        for shape in expected_shapes:
+            w.shape(shape)
+    stream.seek(0)
+    with shp.ShpReader(shp=stream) as r:
+        assert r.shapeType == code_ex
+
+        for actual, expected in itertools.zip_longest(r.shapes(), expected_shapes):
+
+            assert isinstance(actual, shp.SHAPE_CLASS_FROM_SHAPETYPE[code_ex])
+            assert actual.points_3D == expected.points_3D
+            # Don't assert actual.oid == expected.oid it's defined by
+            # actual.oid indicates the order actual was written in, expected.oid
+            # is not currently encoded (as we'd have to resort the entire Shapefile after each shape)
+            assert actual.parts == expected.parts, f"{type(actual.parts)=}, {type(expected.parts)=}"
+
+            if (m := getattr(actual, "m", None)):
+                assert m == expected.m, f"{type(m)=}, {type(expected.m)=}"
+            else:
+                assert not hasattr(expected, "m")
+
+            if (z := getattr(actual, "z", None)):
+                assert z == expected.z, f"{type(z)=}, {type(expected.z)=}"
+            else:
+                assert not hasattr(expected, "z")
+
+            if (partTypes := getattr(actual, "partTypes", None)):
+                assert actual.partTypes == expected.partTypes, f"{type(actual.partTypes)=}, {type(expected.partTypes)=}"
+            else:
+                assert not hasattr(expected, "partTypes")