class_docstr: Test the speed of grabbing the correct BLAS/LAPACK routine flavor.
  
  In particular, upon receiving strange dtype arrays the results shouldn't
  diverge too much. Hence the results here should be comparable
class_docstr_tok: ["Test","the","speed","of","grabbing","the","correct","BLAS\/LAPACK","routine","flavor",".","In","particular",",","upon","receiving","strange","dtype","arrays","the","results","shouldn't","diverge","too","much",".","Hence","the","results","here","should","be","comparable"]
code: def time_find_best_blas_type(
      self, dtype1, dtype2, dtype1_ord, dtype2_ord, size
  ):
      prefix, dtype, prefer_fortran = bla.find_best_blas_type(
          (self.arr1, self.arr2)
      )
  
imports: import numpy
  from .common import Benchmark, safe_import
label_desc: Use image node_id 2 for calling the GetBlasLapackFuncs obj's underlying member method code with example usage: obj.time_find_best_blas_type(dtype1, dtype2, dtype1_ord, dtype2_ord, size) without return types