PERF: expand UInt64Index benchmark coverage

Author: qwhelan

asv_bench/benchmarks/algorithms.py

@@ -43,12 +43,16 @@ class Duplicated(object):
     def setup(self, keep):
         N = 10**5
         self.int_idx = pd.Int64Index(np.arange(N).repeat(5))
+        self.uint_idx = pd.UInt64Index(np.arange(N).repeat(5))
         self.float_idx = pd.Float64Index(np.random.randn(N).repeat(5))
         self.string_idx = tm.makeStringIndex(N)
 
     def time_duplicated_int(self, keep):
         self.int_idx.duplicated(keep=keep)
 
+    def time_duplicated_uint(self, keep):
+        self.uint_idx.duplicated(keep=keep)
+
     def time_duplicated_float(self, keep):
         self.float_idx.duplicated(keep=keep)
 

asv_bench/benchmarks/series_methods.py

@@ -23,7 +23,7 @@ def time_constructor(self, data):
 
 class IsIn(object):
 
-    params = ['int64', 'object']
+    params = ['int64', 'uint64', 'object']
     param_names = ['dtype']
 
     def setup(self, dtype):
@@ -150,7 +150,7 @@ def time_clip(self):
 
 class ValueCounts(object):
 
-    params = ['int', 'float', 'object']
+    params = ['int', 'uint', 'float', 'object']
     param_names = ['dtype']
 
     def setup(self, dtype):