code: def check_dimensions(self, dataset):
          '''
          Checks that the feature types of this dataset are consitent with a point dataset
          '''
          required_ctx = TestCtx(BaseCheck.HIGH, 'All geophysical variables are point feature types')
          t = util.get_time_variable(dataset)
  
          # Exit prematurely
          if not t:
              required_ctx.assert_true(False, 'A dimension representing time is required for point feature types')
              return required_ctx.to_result()
          t_dims = dataset.variables[t].dimensions
          o = None or (t_dims and t_dims[0])
  
          message = '{} must be a valid timeseries feature type. It must have dimensions of ({}), and all coordinates must have dimensions of ({})'
          for variable in util.get_geophysical_variables(dataset):
              is_valid = util.is_point(dataset, variable)
              required_ctx.assert_true(
                  is_valid,
                  message.format(variable, o, o)
              )
          return required_ctx.to_result(f check_dimensions(self, dataset):
          '''
          Checks that the feature types of this dataset are consitent with a point dataset
          '''
          required_ctx = TestCtx(BaseCheck.HIGH, 'All geophysical variables are point feature types')
          t = util.get_time_variable(dataset)
  
          # Exit prematurely
          if not t:
              required_ctx.assert_true(False, 'A dimension representing time is required for point feature types')
              return required_ctx.to_result()
          t_dims = dataset.variables[t].dimensions
          o = None or (t_dims and t_dims[0])
  
          message = '{} must be a valid timeseries feature type. It must have dimensions of ({}), and all coordinates must have dimensions of ({})'
          for variable in util.get_geophysical_variables(dataset):
              is_valid = util.is_point(dataset, variable)
              required_ctx.assert_true(
                  is_valid,
                  message.format(variable, o, o)
              )
          return required_ctx.to_result()
docs: Checks that the feature types of this dataset are consitent with a point dataset