code: def test_require_length_greater_than_one(self):
      my_asset = Equity(
          0,
          exchange_info=ExchangeInfo("TEST", "TEST FULL", "US"),
      )
  
      with self.assertRaises(ValueError):
          RollingPearsonOfReturns(
              target=my_asset,
              returns_length=3,
              correlation_length=1,
          )
  
      with self.assertRaises(ValueError):
          RollingSpearmanOfReturns(
              target=my_asset,
              returns_length=3,
              correlation_length=1,
          )
  
      with self.assertRaises(ValueError):
          RollingLinearRegressionOfReturns(
              target=my_asset,
              returns_length=3,
              regression_length=1,
          )
  
imports: import numpy
  from numpy import arange, full, full_like, nan, where
  from pandas import DataFrame, date_range, Int64Index, Timestamp
  from pandas.util.testing import assert_frame_equal
  from scipy.stats import linregress, pearsonr, spearmanr
  from empyrical.stats import beta_aligned
  from zipline.assets import Equity, ExchangeInfo
  from zipline.errors import IncompatibleTerms, NonExistentAssetInTimeFrame
  from zipline.pipeline import CustomFactor, Pipeline
  from zipline.pipeline.data import USEquityPricing
  from zipline.pipeline.data.testing import TestingDataSet
  from zipline.pipeline.domain import US_EQUITIES
  from zipline.pipeline.engine import SimplePipelineEngine
  from zipline.pipeline.factors import Returns, RollingLinearRegressionOfReturns, RollingPearsonOfReturns, RollingSpearmanOfReturns, SimpleBeta
  from zipline.pipeline.factors.statistical import vectorized_beta, vectorized_pearson_r
  from zipline.pipeline.loaders.frame import DataFrameLoader
  from zipline.pipeline.sentinels import NotSpecified
  from zipline.testing import AssetID, AssetIDPlusDay, check_arrays, make_alternating_boolean_array, make_cascading_boolean_array, parameter_space
  import zipline.testing.fixtures
  from zipline.testing.predicates import assert_equal
  from zipline.utils.numpy_utils import as_column, bool_dtype, datetime64ns_dtype, float64_dtype
label_desc: Use image node_id 7 for calling the StatisticalBuiltInsTestCase obj's underlying member method code with example usage: obj.test_require_length_greater_than_one() without return types