declare missing modules

Author: jbaross-pometry

python/python/raphtory/__init__.py

@@ -8,6 +8,7 @@
 _sys.modules["raphtory.vectors"] = vectors
 _sys.modules["raphtory.graphql"] = graphql
 _sys.modules["raphtory.filter"] = filter
+_sys.modules["raphtory.iterables"] = iterables
 
 __doc__ = _raphtory.__doc__
 if hasattr(_raphtory, "__all__"):

python/python/raphtory/__init__.pyi

@@ -25,6 +25,7 @@ from pandas import DataFrame
 from os import PathLike
 import networkx as nx  # type: ignore
 import pyvis  # type: ignore
+from raphtory.iterables import *
 
 __all__ = [
     "GraphView",
@@ -55,6 +56,7 @@ __all__ = [
     "vectors",
     "node_state",
     "filter",
+    "iterables",
     "nullmodels",
     "plottingutils",
 ]
@@ -3907,8 +3909,13 @@ class PathFromGraph(object):
         """the node degrees"""
 
     @property
-    def earliest_date_time(self):
-        """Returns the earliest date time of the nodes."""
+    def earliest_date_time(self) -> NestedUtcDateTimeIterable:
+        """
+        Returns the earliest date time of the nodes.
+
+        Returns:
+            NestedUtcDateTimeIterable:
+        """
 
     @property
     def earliest_time(self):

python/python/raphtory/algorithms/__init__.pyi

@@ -25,6 +25,7 @@ from pandas import DataFrame
 from os import PathLike
 import networkx as nx  # type: ignore
 import pyvis  # type: ignore
+from raphtory.iterables import *
 
 __all__ = [
     "dijkstra_single_source_shortest_paths",

python/python/raphtory/filter/__init__.pyi

@@ -21,6 +21,7 @@ from pandas import DataFrame
 from os import PathLike
 import networkx as nx  # type: ignore
 import pyvis  # type: ignore
+from raphtory.iterables import *
 
 __all__ = [
     "FilterExpr",

python/python/raphtory/graph_gen/__init__.pyi

@@ -26,6 +26,7 @@ from pandas import DataFrame
 from os import PathLike
 import networkx as nx  # type: ignore
 import pyvis  # type: ignore
+from raphtory.iterables import *
 
 __all__ = ["random_attachment", "ba_preferential_attachment"]
 

python/python/raphtory/graph_loader/__init__.pyi

@@ -26,6 +26,7 @@ from pandas import DataFrame
 from os import PathLike
 import networkx as nx  # type: ignore
 import pyvis  # type: ignore
+from raphtory.iterables import *
 
 __all__ = [
     "lotr_graph",

python/python/raphtory/graphql/__init__.pyi

@@ -21,6 +21,7 @@ from pandas import DataFrame
 from os import PathLike
 import networkx as nx  # type: ignore
 import pyvis  # type: ignore
+from raphtory.iterables import *
 
 __all__ = [
     "GraphServer",

python/python/raphtory/iterables/__init__.pyi

@@ -0,0 +1,56 @@
+from __future__ import annotations
+
+###############################################################################
+#                                                                             #
+#                      AUTOGENERATED TYPE STUB FILE                           #
+#                                                                             #
+#    This file was automatically generated. Do not modify it directly.        #
+#    Any changes made here may be lost when the file is regenerated.          #
+#                                                                             #
+###############################################################################
+
+from typing import *
+from raphtory import *
+import raphtory.filter as filter
+from raphtory.algorithms import *
+from raphtory.vectors import *
+from raphtory.node_state import *
+from raphtory.graphql import *
+from raphtory.typing import *
+from datetime import datetime
+from pandas import DataFrame
+from os import PathLike
+import networkx as nx  # type: ignore
+import pyvis  # type: ignore
+
+__all__ = ["NestedUtcDateTimeIterable"]
+
+class NestedUtcDateTimeIterable(object):
+    def __eq__(self, value):
+        """Return self==value."""
+
+    def __ge__(self, value):
+        """Return self>=value."""
+
+    def __gt__(self, value):
+        """Return self>value."""
+
+    def __iter__(self):
+        """Implement iter(self)."""
+
+    def __le__(self, value):
+        """Return self<=value."""
+
+    def __len__(self):
+        """Return len(self)."""
+
+    def __lt__(self, value):
+        """Return self<value."""
+
+    def __ne__(self, value):
+        """Return self!=value."""
+
+    def __repr__(self):
+        """Return repr(self)."""
+
+    def collect(self): ...

python/python/raphtory/node_state/__init__.pyi

@@ -21,6 +21,7 @@ from pandas import DataFrame
 from os import PathLike
 import networkx as nx  # type: ignore
 import pyvis  # type: ignore
+from raphtory.iterables import *
 
 __all__ = [
     "NodeGroups",

python/python/raphtory/vectors/__init__.pyi

@@ -21,6 +21,7 @@ from pandas import DataFrame
 from os import PathLike
 import networkx as nx  # type: ignore
 import pyvis  # type: ignore
+from raphtory.iterables import *
 
 __all__ = ["VectorisedGraph", "Document", "Embedding", "VectorSelection"]