code: def ndarrays(
      min_len=0,
      max_len=10,
      min_val=-10000000.0,
      max_val=1000000.0,
      dtype="float64",
  ):
      return lengths(lo=min_len, hi=max_len).flatmap(
          lambda n: ndarrays_of_shape(
              n, lo=min_val, hi=max_val, dtype=dtype
          )
      )
  
file_path: cython-blis/blis/tests/common.py
imports: from __future__ import print_function
  import numpy
  from numpy.testing import assert_allclose
  from hypothesis import assume
  from hypothesis.strategies import tuples, integers, floats
  from hypothesis.extra.numpy import arrays
label_desc: Use image node_id 4 for calling a global function with example usage: ndarrays(min_len, max_len, min_val, max_val, dtype) and returns: lengths