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xarray/tests/test_cftimeindex.py

@@ -989,27 +989,41 @@ def test_cftimeindex_calendar_property(calendar, expected):
 
 
 def test_cftime_noleap_with_str():
-    time=xr.cftime_range('2000-01-01','2006-01-01', freq='D', calendar='noleap')
-    temperature =  np.ones(len(time))
+    time = xr.cftime_range("2000-01-01", "2006-01-01", freq="D", calendar="noleap")
+    temperature = np.ones(len(time))
     da = xr.DataArray(
         data=temperature,
         dims=["time"],
-        coords=dict(time=time,),
+        coords=dict(
+            time=time,
+        ),
     )
-    out=da.sel(time=slice('2001','2002'))  # works if array is built with cftime
-    da1=da.convert_calendar('noleap')
-    out1=da1.sel(time=slice('2001','2002'))  # works if array is built with cftime and converted
-
-    time=pd.date_range('2000-01-01','2006-01-01', freq='D',)
-    temperature =  np.ones(len(time))
+    out = da.sel(time=slice("2001", "2002"))  # works if array is built with cftime
+    da1 = da.convert_calendar("noleap")
+    out1 = da1.sel(
+        time=slice("2001", "2002")
+    )  # works if array is built with cftime and converted
+
+    time = pd.date_range(
+        "2000-01-01",
+        "2006-01-01",
+        freq="D",
+    )
+    temperature = np.ones(len(time))
     da2 = xr.DataArray(
         data=temperature,
         dims=["time"],
-        coords=dict(time=time,),
+        coords=dict(
+            time=time,
+        ),
     )
-    out2=da2.sel(time=slice('2001','2002')) #  # works if array is built with pandas time
-    da3=da2.convert_calendar('noleap')
-    out3=da3.sel(time=slice('2001','2002')) # fails if array is built with pandas time and convert to noleap
+    out2 = da2.sel(
+        time=slice("2001", "2002")
+    )  #  # works if array is built with pandas time
+    da3 = da2.convert_calendar("noleap")
+    out3 = da3.sel(
+        time=slice("2001", "2002")
+    )  # fails if array is built with pandas time and convert to noleap
 
 
 @requires_cftime