From f298bc7e07ce9a7b2df5f5ebe9d719a1fe577998 Mon Sep 17 00:00:00 2001
From: jianfengmao <jianfengmao@deephaven.io>
Date: Mon, 1 Jul 2024 10:34:29 -0600
Subject: [PATCH] Correct typing and an impl error

---
 py/server/deephaven/_table_reader.py | 1 -
 py/server/deephaven/table.py         | 4 ++--
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/py/server/deephaven/_table_reader.py b/py/server/deephaven/_table_reader.py
index 1f36cefc872..b9ff7c0905c 100644
--- a/py/server/deephaven/_table_reader.py
+++ b/py/server/deephaven/_table_reader.py
@@ -67,7 +67,6 @@ def _table_reader_chunks(table: Table, *, cols: Optional[Union[str, Sequence[str
 
     row_sequence_iterator = row_set.getRowSequenceIterator()
     col_sources = [table.j_table.getColumnSource(col_def.name) for col_def in col_defs]
-    chunk_size = row_set.size() if not chunk_size else chunk_size
     j_reader_context = _JTableUpdateDataReader.makeContext(chunk_size, *col_sources)
     with update_graph.auto_locking_ctx(table):
         try:
diff --git a/py/server/deephaven/table.py b/py/server/deephaven/table.py
index 6df3fe575f2..dc615a53e09 100644
--- a/py/server/deephaven/table.py
+++ b/py/server/deephaven/table.py
@@ -527,7 +527,7 @@ def iter_dict(self, cols: Optional[Union[str, Sequence[str]]] = None) -> Generat
 
         return _table_reader_rows(self, cols)
 
-    def iter_tuple(self, cols: Optional[Union[str, Sequence[str]]] = None, name: str = 'Deephaven') -> Generator[Tuple[str, Any], None, None]:
+    def iter_tuple(self, cols: Optional[Union[str, Sequence[str]]] = None, name: str = 'Deephaven') -> Generator[Tuple[Any], None, None]:
         """ Returns a generator that reads one row at a time from the table into a named tuple. The named tuple is made
         up of fields with their names being the column names and their values being of the column data types.
 
@@ -580,7 +580,7 @@ def iter_chunk_dict(self, cols: Optional[Union[str, Sequence[str]]] = None, *, c
                                         prev=False, to_numpy=True)
 
     def iter_chunk_tuple(self, cols: Optional[Union[str, Sequence[str]]] = None, *, chunk_size: Optional[int] = 4096,
-                         name: str = 'Deephaven')-> Generator[Tuple[str, np.ndarray], None, None]:
+                         name: str = 'Deephaven')-> Generator[Tuple[np.ndarray], None, None]:
         """ Returns a generator that reads one chunk of rows at a time from the table into a named tuple. The named
         tuple is made up of fields with their names being the column names and their values being numpy arrays of the
         column data types.