Merge pull request #2136 from quantopian/release-1.2.0

MAINT: Update Python stub files

zipline/algorithm.py

@@ -2232,8 +2232,7 @@ def set_max_leverage(self, max_leverage):
 
     @api_method
     def set_min_leverage(self, min_leverage, grace_period):
-        """
-        Set a limit on the minimum leverage of the algorithm.
+        """Set a limit on the minimum leverage of the algorithm.
 
         Parameters
         ----------

zipline/api.pyi

@@ -198,6 +198,24 @@ def get_environment(field='platform'):
         Raised when ``field`` is not a valid option.
     """
 
+def get_open_orders(asset=None):
+    """Retrieve all of the current open orders.
+
+    Parameters
+    ----------
+    asset : Asset
+        If passed and not None, return only the open orders for the given
+        asset instead of all open orders.
+
+    Returns
+    -------
+    open_orders : dict[list[Order]] or list[Order]
+        If no asset is passed this will return a dict mapping Assets
+        to a list containing all the open orders for the asset.
+        If an asset is passed then this will return a list of the open
+        orders for this asset.
+    """
+
 def get_order(order_id):
     """Lookup an order based on the order id returned from one of the
     order functions.
@@ -267,7 +285,7 @@ def order_percent(asset, percent, limit_price=None, stop_price=None, style=None)
     asset : Asset
         The asset that this order is for.
     percent : float
-        The percentage of the porfolio value to allocate to ``asset``.
+        The percentage of the portfolio value to allocate to ``asset``.
         This is specified as a decimal, for example: 0.50 means 50%.
     limit_price : float, optional
         The limit price for the order.
@@ -356,7 +374,7 @@ def order_target_percent(asset, target, limit_price=None, stop_price=None, style
     asset : Asset
         The asset that this order is for.
     target : float
-        The desired percentage of the porfolio value to allocate to
+        The desired percentage of the portfolio value to allocate to
         ``asset``. This is specified as a decimal, for example:
         0.50 means 50%.
     limit_price : float, optional
@@ -633,20 +651,6 @@ def set_max_leverage(max_leverage):
         be no maximum.
     """
 
-def set_min_leverage(min_leverage, timedelta):
-
-    """
-    Set a limit on the minimum leverage of the algorithm.
-
-    Parameters
-    ----------
-    min_leverage : float
-        The minimum leverage for the algorithm. If not provided there will
-        be no minimum.
-    timedelta : pd.Timedelta
-        The offset from the start date used to enforce a minimum leverage
-    """
-
 def set_max_order_count(max_count, on_error='fail'):
     """Set a limit on the number of orders that can be placed in a single
     day.
@@ -699,6 +703,17 @@ def set_max_position_size(asset=None, max_shares=None, max_notional=None, on_err
         The maximum value to hold for an asset.
     """
 
+def set_min_leverage(min_leverage, grace_period):
+    """Set a limit on the minimum leverage of the algorithm.
+
+    Parameters
+    ----------
+    min_leverage : float
+        The minimum leverage for the algorithm.
+    grace_period : pd.Timedelta
+        The offset from the start date used to enforce a minimum leverage.
+    """
+
 def set_slippage(us_equities=None, us_futures=None):
     """Set the slippage models for the simulation.