Added usage of map instead of apply in get_frequencies on class Shift…

…_dates.

main.py

@@ -3,22 +3,33 @@
 
 from vtlengine.API import run
 
-base_path = Path(__file__).parent / 'development' / 'data'
+dev_name = 'BOP'
+base_path = Path(__file__).parent / 'development' / 'data' / dev_name
 input_dp = base_path / 'dataPoints' / 'input'
 output_dp = base_path / 'dataPoints' / 'output'
 input_ds = base_path / 'dataStructures' / 'input'
 ext_routines = base_path / 'externalRoutines'
 vds = base_path / 'valueDomains'
-vtl = base_path / 'vtl' / 'monthVal.vtl'
+vtl = base_path / 'vtl' / f'{dev_name}.vtl'
 
 if __name__ == '__main__':
-    start = time()
-    run(
-        script=vtl,
-        data_structures=input_ds,
-        datapoints=input_dp,
-        value_domains=vds,
-        output_folder=output_dp,
-    )
-    end = time()
-    print(f"Execution time: {round(end - start, 2)}s")
+    time_vector = []
+    num_executions = 3
+    for i in range(num_executions):
+        start = time()
+        run(
+            script=vtl,
+            data_structures=input_ds,
+            datapoints=input_dp,
+            value_domains=vds,
+            output_folder=output_dp,
+        )
+        end = time()
+        total_time = round(end - start, 2)
+        time_vector.append(total_time)
+        print(f'Execution ({i + 1}/{num_executions}): {total_time}s')
+    print('-' * 30)
+    print(f'Average time: {round(sum(time_vector) / num_executions, 2)}s')
+    print(f'Min time: {min(time_vector)}s')
+    print(f'Max time: {max(time_vector)}s')
+    print(f'Total time: {round(sum(time_vector), 2)}s')

src/vtlengine/Operators/Time.py

@@ -439,7 +439,7 @@ def evaluate(cls, operand: Dataset, shift_value: Scalar) -> Dataset:
         data_type = result.components[cls.time_id].data_type
 
         if data_type == Date:
-            freq = cls.find_min_frequency(cls.get_frequencies(result.data[cls.time_id].apply(cls.parse_date)))
+            freq = cls.find_min_frequency(cls.get_frequencies(result.data[cls.time_id].map(cls.parse_date, na_action='ignore')))
             result.data[cls.time_id] = cls.shift_dates(result.data[cls.time_id], shift_value, freq)
         elif data_type == Time:
             freq = cls.get_frequency_from_time(result.data[cls.time_id].iloc[0])