From a45f36cb662878418865d3ed01a135ba3df6ab44 Mon Sep 17 00:00:00 2001
From: jacgoldsm <jacgoldsm@reed.edu>
Date: Mon, 25 Sep 2023 13:45:57 -0400
Subject: [PATCH] fix dict subsetting for 3.7

---
 osos/_implementations.py | 8 ++++----
 osos/column.py           | 2 +-
 osos/types.py            | 4 ++--
 3 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/osos/_implementations.py b/osos/_implementations.py
index 6eae464..d20fcdd 100644
--- a/osos/_implementations.py
+++ b/osos/_implementations.py
@@ -2,7 +2,7 @@
 import numpy as np
 from pandas.core.groupby.generic import SeriesGroupBy
 from pandas.core.window.rolling import Rolling as RollingWindow
-from typing import Union, Callable, Iterable, Any, overload, Optional,List,Tuple
+from typing import Union, Callable, Iterable, Any, overload, Optional,List,Tuple,Dict
 from warnings import warn
 
 from .window import EmptyWindow, ConcreteWindowSpec
@@ -104,7 +104,7 @@ def sum_func(series: SeriesType, *args, **kwargs) -> pd.Series:
 def udf_func(
     series: pd.Series,
     udf: Callable,
-    args_and_kwargs: dict[Iterable, dict[str, Any]],
+    args_and_kwargs: Dict[Iterable, Dict[str, Any]],
     _over=None,
 ) -> pd.Series:
     args, kwargs = args_and_kwargs.get("args"), args_and_kwargs.get("kwargs")
@@ -568,7 +568,7 @@ def nanvl_func(col1: pd.Series, col2: pd.Series):
 
 def percentile_approx_func(
     col: pd.Series,
-    percentage: Union[pd.Series, float, List[float], tuple[float]],
+    percentage: Union[pd.Series, float, List[float], Tuple[float]],
     accuracy: Union[pd.Series, float] = 10000,
 ):
     
@@ -686,7 +686,7 @@ def struct_func(
 def struct_func(
     *cols: Union[
         pd.Series,
-        Union[List[pd.Series], tuple[pd.Series, ...]],
+        Union[List[pd.Series], Tuple[pd.Series, ...]],
     ]
 ):
     
diff --git a/osos/column.py b/osos/column.py
index e9bedd8..cba7b17 100644
--- a/osos/column.py
+++ b/osos/column.py
@@ -112,7 +112,7 @@ class FuncOrOp(Node):
 
 
 class ForwardRef:
-    def __init__(self, reference: str, args: Union[list, None] = None):
+    def __init__(self, reference: str, args: Union[List, None] = None):
         self.reference = reference
         self.args = args if args is not None else []
 
diff --git a/osos/types.py b/osos/types.py
index a6602c7..f2ff913 100644
--- a/osos/types.py
+++ b/osos/types.py
@@ -2,7 +2,7 @@
 import pandas as pd
 from decimal import Decimal
 
-from typing import List,Tuple
+from typing import List,Tuple,Dict
 
 # integral
 IntegerType = lambda: np.int32
@@ -35,7 +35,7 @@
 
 # complex
 ArrayType = lambda elementType, containsNull=False: List
-MapType = lambda keyType, elementType, valueContainsNull=False: dict
+MapType = lambda keyType, elementType, valueContainsNull=False: Dict
 StructType = lambda fields: np.array
 StructField = lambda name,dataType,nullable=False: Tuple