hotfix: explicit uint64 typing to avoid float64 rounding

Author: dodamih

pychunkedgraph/graph/edges/utils.py

@@ -69,7 +69,9 @@ def merge_cross_edge_dicts(x_edges_d1: Dict, x_edges_d2: Dict) -> Dict:
     Combines two cross chunk dictionaries of form
     {node_id: {layer id : edge list}}.
     """
-    node_ids = np.unique(list(x_edges_d1.keys()) + list(x_edges_d2.keys()))
+    node_ids = np.unique(
+        np.array(list(x_edges_d1.keys()) + list(x_edges_d2.keys()), dtype=basetypes.NODE_ID)
+    )
     result_d = {}
     for node_id in node_ids:
         cross_edge_ds = [x_edges_d1.get(node_id, {}), x_edges_d2.get(node_id, {})]

pychunkedgraph/graph/segmenthistory.py

@@ -78,7 +78,7 @@ def operation_id_root_id_dict(self):
 
     @property
     def operation_ids(self):
-        return np.array(list(self.operation_id_root_id_dict.keys()))
+        return np.array(list(self.operation_id_root_id_dict.keys()), dtype=basetypes.OPERATION_ID)
 
     @property
     def _log_rows(self):

pychunkedgraph/meshing/meshgen.py

@@ -253,7 +253,7 @@ def _get_root_ids(args):
 
     lx_id_remap = get_higher_to_lower_remapping(cg, chunk_id, time_stamp=time_stamp)
 
-    lx_ids = np.array(list(lx_id_remap.keys()))
+    lx_ids = np.array(list(lx_id_remap.keys()), dtype=np.uint64)
 
     root_ids = np.zeros(len(lx_ids), dtype=np.uint64)
     n_jobs = np.min([n_threads, len(lx_ids)])
@@ -1034,8 +1034,8 @@ def get_multi_child_nodes(cg, chunk_id, node_id_subset=None, chunk_bbox_string=F
             node_ids=node_id_subset, properties=attributes.Hierarchy.Child
         )
 
-    node_ids = np.array(list(range_read.keys()))
-    node_rows = np.array(list(range_read.values()))
+    node_ids = np.array(list(range_read.keys()), dtype=np.uint64)
+    node_rows = np.array(list(range_read.values()), dtype=object)
     child_fragments = np.array(
         [
             fragment.value