docstr: Build a block of random numerical data.
docstr_tok: ["Build","a","block","of","random","numerical","data","."]
code: def randn_data(self, seed, shape):
      """
      Build a block of random numerical data.
      """
      return np.random.RandomState(seed).randn(*shape)
  
imports: import numpy
  from numpy import arange, prod
  from pandas import DataFrame, Timestamp
  from six import iteritems
  from zipline.lib.labelarray import LabelArray
  from zipline.utils.compat import wraps
  from zipline.pipeline import ExecutionPlan
  from zipline.pipeline.domain import US_EQUITIES
  from zipline.pipeline.engine import SimplePipelineEngine
  from zipline.pipeline.hooks import NoHooks
  from zipline.pipeline.term import AssetExists, InputDates
  from zipline.testing import check_arrays
  from zipline.testing.fixtures import WithAssetFinder, WithTradingSessions, ZiplineTestCase
  from zipline.utils.functional import dzip_exact
  from zipline.utils.pandas_utils import explode
label_desc: Use image node_id 8 for calling the BaseUSEquityPipelineTestCase obj's underlying member method code with example usage: obj.randn_data(seed, shape) and returns: np