text: import numpy as np
  
  try:
      from pandas._libs.tslibs.parsing import (
          _concat_date_cols,
          _does_string_look_like_datetime,
      )
  except ImportError:
      # Avoid whole benchmark suite import failure on asv (currently 0.4)
      pass
  
  
  class DoesStringLookLikeDatetime(object):
  
      params = (["2Q2005", "0.0", "10000"],)
      param_names = ["value"]
  
      def setup(self, value):
          self.objects = [value] * 1000000
  
      def time_check_datetimes(self, value):
          for obj in self.objects:
              _does_string_look_like_datetime(obj)
  
  
  class ConcatDateCols(object):
  
      params = ([1234567890, "AAAA"], [1, 2])
      param_names = ["value", "dim"]
  
      def setup(self, value, dim):
          count_elem = 10000
          if dim == 1:
              self.object = (np.array([value] * count_elem),)
          if dim == 2:
              self.object = (
                  np.array([value] * count_elem),
                  np.array([value] * count_elem),
              )
  
      def time_check_concat(self, value, dim):
          _concat_date_cols(self.object)
  