Add typing_extensions for Python 3.8-3.10 compatibility with TypedDict Unpack

Author: michaelchu

TYPE_HINTS.md

@@ -79,14 +79,16 @@ class CalendarStrategyParams(StrategyParams):
 All strategy functions now use `Unpack[StrategyParams]`:
 
 ```python
+from typing_extensions import Unpack
+
 def iron_condor(
     data: pd.DataFrame,
     **kwargs: Unpack[StrategyParams]
 ) -> pd.DataFrame:
     ...
 ```
 
-This preserves backward compatibility while adding type information.
+This preserves backward compatibility while adding type information. Note that `Unpack` is imported from `typing_extensions` for compatibility with Python 3.8+.
 
 ## Exporting Types
 

docs/api-reference.md

@@ -278,8 +278,8 @@ See the [Examples page](examples.md) for detailed usage examples.
 All functions include full type hints with TypedDict for IDE autocomplete support:
 
 ```python
-from typing import Unpack
 import pandas as pd
+from typing_extensions import Unpack
 from optopsy import StrategyParams
 
 def long_calls(data: pd.DataFrame, **kwargs: Unpack[StrategyParams]) -> pd.DataFrame:

optopsy/strategies.py

@@ -1,5 +1,7 @@
-from typing import Any, Dict, List, Tuple, Unpack
+from typing import Any, Dict, List, Tuple
+
 import pandas as pd
+from typing_extensions import Unpack
 from .core import _calls, _puts, _process_strategy, _process_calendar_strategy
 from .types import StrategyParams, CalendarStrategyParams
 from .definitions import (

setup.py

@@ -21,5 +21,5 @@
     ],
     python_requires=">=3.8",
     packages=["optopsy"],
-    install_requires=["pandas", "numpy"],
+    install_requires=["pandas", "numpy", "typing_extensions>=4.0.0"],
 )