@@ -198,7 +198,9 @@ def to_dict(
198198 if i in object_dtype_indices_as_set
199199 else list (map (maybe_box_native , v .to_numpy ())),
200200 )
201- for i , (box_na_value , (k , v )) in enumerate (zip (box_na_values , df .items (), strict = True ))
201+ for i , (box_na_value , (k , v )) in enumerate (
202+ zip (box_na_values , df .items (), strict = True )
203+ )
202204 )
203205
204206 elif orient == "split" :
@@ -240,7 +242,8 @@ def to_dict(
240242 ]
241243 else :
242244 data = [
243- into_c (zip (columns , t , strict = True )) for t in df .itertuples (index = False , name = None )
245+ into_c (zip (columns , t , strict = True ))
246+ for t in df .itertuples (index = False , name = None )
244247 ]
245248 if box_native_indices :
246249 object_dtype_indices_as_set = set (box_native_indices )
@@ -272,14 +275,17 @@ def to_dict(
272275 column : maybe_box_native (v )
273276 if i in object_dtype_indices_as_set
274277 else v
275- for i , (column , v ) in enumerate (zip (columns , t [1 :], strict = True ))
278+ for i , (column , v ) in enumerate (
279+ zip (columns , t [1 :], strict = True )
280+ )
276281 },
277282 )
278283 for t in df .itertuples (name = None )
279284 )
280285 else :
281286 return into_c (
282- (t [0 ], dict (zip (columns , t [1 :], strict = True ))) for t in df .itertuples (name = None )
287+ (t [0 ], dict (zip (columns , t [1 :], strict = True )))
288+ for t in df .itertuples (name = None )
283289 )
284290
285291 else :
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