Update minimum version of dependencies

pyproject.toml

@@ -29,20 +29,20 @@ classifiers = [
     "Programming Language :: Python :: 3.14",
 ]
 dependencies = [
-    "urllib3>=1.21.1",
+    "urllib3>=2.0.0", # Make aligned with td-client
     "trino>=0.334.0",
     "pandas>=2.1.0",
     "numpy>=1.25.2",
-    "td-client>=1.6.0",
+    "td-client>=1.7.0",
     "pytz>=2018.5",
     "tqdm>=4.60.0",
+    "pyarrow>=14.0.1", # Enforce compatibility with NumPy 2.x
 ]
 
 [project.optional-dependencies]
 spark = [
     "td-pyspark>20.10.0",
     "pyspark>=3.0.0",
-    "pyarrow>=10.0",
 ]
 test = [
     "pytest",
@@ -118,6 +118,7 @@ exclude = [
     "pytd.egg-info",
     "pytd/tests/**",  # Exclude tests for now
     "pytd/pandas_td/ipython.py",  # IPython dependency not in core requirements
+    "pytd/pandas_td/__init__.py",  # Optional pandas enhancements
     "pytd/spark.py",  # Spark dependencies are optional
     "noxfile.py",  # Noxfile is for dev only
 ]

pytd/pandas_td/__init__.py

@@ -348,7 +348,7 @@ def _convert_time(time: Any) -> str:
         t = pd.to_datetime(time)  # type: ignore[misc]
     else:
         raise ValueError(f"invalid time value: {time}")
-    return f"'{t.replace(microsecond=0)}'"
+    return f"'{t.replace(microsecond=0)}'"  # type: ignore[union-attr]
 
 
 def _to_dataframe(dic: Any, index_col: Any, parse_dates: Any) -> pd.DataFrame:

pytd/writer.py

@@ -55,7 +55,7 @@ def _replace_pd_na(dataframe: pd.DataFrame) -> None:
     if dataframe.isnull().any().any():  # type: ignore[misc]
         # Replace both np.nan and pd.NA with None
         replace_dict = {np.nan: None, pd.NA: None}
-        dataframe.replace(replace_dict, inplace=True)
+        dataframe.replace(replace_dict, inplace=True)  # type: ignore[misc]
 
 
 def _to_list(ary: Any) -> list[Any] | None:
@@ -76,7 +76,7 @@ def _to_list(ary: Any) -> list[Any] | None:
         _ary = np.where(_ary == "nan", None, _ary)  # type: ignore[arg-type]
     elif kind == "O":
         _ary = np.array([None if _is_np_nan(x) or _is_pd_na(x) else x for x in _ary])
-    return _ary.tolist()
+    return _ary.tolist()  # type: ignore[misc]
 
 
 def _convert_nullable_str(x: Any, t: type, lower: bool = False) -> str | None:
@@ -103,7 +103,7 @@ def _cast_dtypes(
     U  Unicode
     V  void
     """
-    df = dataframe if inplace else dataframe.copy()
+    df = dataframe if inplace else dataframe.copy()  # type: ignore[misc]
 
     for column, kind in dataframe.dtypes.apply(lambda dtype: dtype.kind).items():  # type: ignore[misc]
         t = str
@@ -134,7 +134,7 @@ def _cast_dtypes(
         df[column] = df[column].astype(t)  # type: ignore[misc]
 
     if not inplace:
-        return df
+        return df  # type: ignore[return-value]
     return None