Merge pull request #946 from dhdaines/iterable_geometry

Accept Iterable for geometry utils (fixes #945)

pdfplumber/utils/geometry.py

@@ -1,52 +1,53 @@
 import itertools
 from operator import itemgetter
-from typing import Dict, List, Optional
+from typing import Dict, Iterable, Optional
 
 from .._typing import T_bbox, T_num, T_obj, T_obj_list
 from .clustering import cluster_objects
-from .generic import to_list
 
 
-def objects_to_rect(objects: T_obj_list) -> Dict[str, T_num]:
-    return {
-        "x0": min(map(itemgetter("x0"), objects)),
-        "x1": max(map(itemgetter("x1"), objects)),
-        "top": min(map(itemgetter("top"), objects)),
-        "bottom": max(map(itemgetter("bottom"), objects)),
-    }
+def objects_to_rect(objects: Iterable[T_obj]) -> Dict[str, T_num]:
+    """
+    Given an iterable of objects, return the smallest rectangle (i.e. a
+    dict with "x0", "top", "x1", and "bottom" keys) that contains them
+    all.
+    """
+    return bbox_to_rect(objects_to_bbox(objects))
 
 
-def objects_to_bbox(objects: T_obj_list) -> T_bbox:
-    return (
-        min(map(itemgetter("x0"), objects)),
-        min(map(itemgetter("top"), objects)),
-        max(map(itemgetter("x1"), objects)),
-        max(map(itemgetter("bottom"), objects)),
-    )
+def objects_to_bbox(objects: Iterable[T_obj]) -> T_bbox:
+    """
+    Given an iterable of objects, return the smallest bounding box that
+    contains them all.
+    """
+    return merge_bboxes(map(bbox_getter, objects))
 
 
 bbox_getter = itemgetter("x0", "top", "x1", "bottom")
 
 
 def obj_to_bbox(obj: T_obj) -> T_bbox:
+    """
+    Return the bounding box for an object.
+    """
     return bbox_getter(obj)
 
 
 def bbox_to_rect(bbox: T_bbox) -> Dict[str, T_num]:
+    """
+    Return the rectangle (i.e a dict with keys "x0", "top", "x1",
+    "bottom") for an object.
+    """
     return {"x0": bbox[0], "top": bbox[1], "x1": bbox[2], "bottom": bbox[3]}
 
 
-def merge_bboxes(bboxes: List[T_bbox]) -> T_bbox:
+def merge_bboxes(bboxes: Iterable[T_bbox]) -> T_bbox:
     """
-    Given a set of bounding boxes, return the smallest bounding box that
-    contains them all.
+    Given an iterable of bounding boxes, return the smallest bounding box
+    that contains them all.
     """
-    return (
-        min(map(itemgetter(0), bboxes)),
-        min(map(itemgetter(1), bboxes)),
-        max(map(itemgetter(2), bboxes)),
-        max(map(itemgetter(3), bboxes)),
-    )
+    x0, top, x1, bottom = zip(*bboxes)
+    return (min(x0), min(top), max(x1), max(bottom))
 
 
 def get_bbox_overlap(a: T_bbox, b: T_bbox) -> Optional[T_bbox]:
@@ -72,7 +73,6 @@ def calculate_area(bbox: T_bbox) -> T_num:
 
 
 def clip_obj(obj: T_obj, bbox: T_bbox) -> Optional[T_obj]:
-
     overlap = get_bbox_overlap(obj_to_bbox(obj), bbox)
     if overlap is None:
         return None
@@ -91,19 +91,14 @@ def clip_obj(obj: T_obj, bbox: T_bbox) -> Optional[T_obj]:
     return copy
 
 
-def intersects_bbox(objs: T_obj_list, bbox: T_bbox) -> T_obj_list:
+def intersects_bbox(objs: Iterable[T_obj], bbox: T_bbox) -> T_obj_list:
     """
     Filters objs to only those intersecting the bbox
     """
-    initial_type = type(objs)
-    objs = to_list(objs)
-    matching = [
-        obj for obj in objs if get_bbox_overlap(obj_to_bbox(obj), bbox) is not None
-    ]
-    return initial_type(matching)
+    return [obj for obj in objs if get_bbox_overlap(obj_to_bbox(obj), bbox) is not None]
 
 
-def within_bbox(objs: T_obj_list, bbox: T_bbox) -> T_obj_list:
+def within_bbox(objs: Iterable[T_obj], bbox: T_bbox) -> T_obj_list:
     """
     Filters objs to only those fully within the bbox
     """
@@ -114,14 +109,14 @@ def within_bbox(objs: T_obj_list, bbox: T_bbox) -> T_obj_list:
     ]
 
 
-def outside_bbox(objs: T_obj_list, bbox: T_bbox) -> T_obj_list:
+def outside_bbox(objs: Iterable[T_obj], bbox: T_bbox) -> T_obj_list:
     """
     Filters objs to only those fully outside the bbox
     """
     return [obj for obj in objs if get_bbox_overlap(obj_to_bbox(obj), bbox) is None]
 
 
-def crop_to_bbox(objs: T_obj_list, bbox: T_bbox) -> T_obj_list:
+def crop_to_bbox(objs: Iterable[T_obj], bbox: T_bbox) -> T_obj_list:
     """
     Filters objs to only those intersecting the bbox,
     and crops the extent of the objects to the bbox.
@@ -151,10 +146,11 @@ def move_object(obj: T_obj, axis: str, value: T_num) -> T_obj:
     return obj.__class__(tuple(obj.items()) + tuple(new_items))
 
 
-def snap_objects(objs: T_obj_list, attr: str, tolerance: T_num) -> T_obj_list:
+def snap_objects(objs: Iterable[T_obj], attr: str, tolerance: T_num) -> T_obj_list:
     axis = {"x0": "h", "x1": "h", "top": "v", "bottom": "v"}[attr]
-    clusters = cluster_objects(objs, itemgetter(attr), tolerance)
-    avgs = [sum(map(itemgetter(attr), objs)) / len(objs) for objs in clusters]
+    list_objs = list(objs)
+    clusters = cluster_objects(list_objs, itemgetter(attr), tolerance)
+    avgs = [sum(map(itemgetter(attr), cluster)) / len(cluster) for cluster in clusters]
     snapped_clusters = [
         [move_object(obj, axis, avg - obj[attr]) for obj in cluster]
         for cluster, avg in zip(clusters, avgs)
@@ -264,12 +260,11 @@ def obj_to_edges(obj: T_obj) -> T_obj_list:
 
 
 def filter_edges(
-    edges: T_obj_list,
+    edges: Iterable[T_obj],
     orientation: Optional[str] = None,
     edge_type: Optional[str] = None,
     min_length: T_num = 1,
 ) -> T_obj_list:
-
     if orientation not in ("v", "h", None):
         raise ValueError("Orientation must be 'v' or 'h'")
 

requirements-dev.txt

@@ -5,7 +5,7 @@ flake8==4.0.1
 black==22.3.0
 isort==5.10.1
 pandas==2.0.3
-mypy==0.942
+mypy==0.981
 pandas-stubs==1.2.0.58
 types-Pillow==9.0.14
 jupyterlab==3.4.2

tests/test_utils.py

@@ -385,6 +385,7 @@ class Test(unittest.TestCase):
         bbox = utils.obj_to_bbox(objs[0])
 
         assert utils.intersects_bbox(objs, bbox) == objs[:4]
+        assert utils.intersects_bbox(iter(objs), bbox) == objs[:4]
 
     def test_merge_bboxes(self):
         bboxes = [
@@ -393,6 +394,8 @@ class Test(unittest.TestCase):
         ]
         merged = utils.merge_bboxes(bboxes)
         assert merged == (0, 5, 20, 30)
+        merged = utils.merge_bboxes(iter(bboxes))
+        assert merged == (0, 5, 20, 30)
 
     def test_resize_object(self):
         obj = {
@@ -494,6 +497,8 @@ class Test(unittest.TestCase):
 
         a_new, b_new, c_new = utils.snap_objects([a, b, c], "x0", 1)
         assert a_new == b_new == c_new
+        a_new, b_new, c_new = utils.snap_objects(iter([a, b, c]), "x0", 1)
+        assert a_new == b_new == c_new
 
     def test_filter_edges(self):
         with pytest.raises(ValueError):
@@ -515,6 +520,7 @@ class Test(unittest.TestCase):
             },
         ]
         assert utils.to_list(objs) == objs
+        assert utils.to_list(iter(objs)) == objs
         assert utils.to_list(tuple(objs)) == objs
         assert utils.to_list((o for o in objs)) == objs
         assert utils.to_list(pd.DataFrame(objs)) == objs