ASV: dt64arr_to_periodarr (#35244)

asv_bench/benchmarks/tslibs/period.py

@@ -9,7 +9,12 @@
 
 from pandas.tseries.frequencies import to_offset
 
-from .tslib import _sizes
+from .tslib import _sizes, _tzs
+
+try:
+    from pandas._libs.tslibs.vectorized import dt64arr_to_periodarr
+except ImportError:
+    from pandas._libs.tslibs.period import dt64arr_to_periodarr
 
 
 class PeriodProperties:
@@ -75,26 +80,29 @@ def time_period_constructor(self, freq, is_offset):
         Period("2012-06-01", freq=freq)
 
 
+_freq_ints = [
+    1000,
+    1011,  # Annual - November End
+    2000,
+    2011,  # Quarterly - November End
+    3000,
+    4000,
+    4006,  # Weekly - Saturday End
+    5000,
+    6000,
+    7000,
+    8000,
+    9000,
+    10000,
+    11000,
+    12000,
+]
+
+
 class TimePeriodArrToDT64Arr:
     params = [
         _sizes,
-        [
-            1000,
-            1011,  # Annual - November End
-            2000,
-            2011,  # Quarterly - November End
-            3000,
-            4000,
-            4006,  # Weekly - Saturday End
-            5000,
-            6000,
-            7000,
-            8000,
-            9000,
-            10000,
-            11000,
-            12000,
-        ],
+        _freq_ints,
     ]
     param_names = ["size", "freq"]
 
@@ -104,3 +112,19 @@ def setup(self, size, freq):
 
     def time_periodarray_to_dt64arr(self, size, freq):
         periodarr_to_dt64arr(self.i8values, freq)
+
+
+class TimeDT64ArrToPeriodArr:
+    params = [
+        _sizes,
+        _freq_ints,
+        _tzs,
+    ]
+    param_names = ["size", "freq", "tz"]
+
+    def setup(self, size, freq, tz):
+        arr = np.arange(10, dtype="i8").repeat(size // 10)
+        self.i8values = arr
+
+    def time_dt64arr_to_periodarr(self, size, freq, tz):
+        dt64arr_to_periodarr(self.i8values, freq, tz)