code: def compute_correction_factors(a, block_sz, dtype):
      k = a.size
      correction = cupy.eye(k, dtype=dtype)
      correction = cupy.c_[
          correction[::-1], cupy.empty((k, block_sz), dtype=dtype)
      ]
      corr_kernel = _get_module_func(
          IIR_MODULE, "compute_correction_factors", correction, a
      )
      corr_kernel((k,), (1,), (block_sz, k, a, correction))
      return correction
  
file_path: cupy/cupyx/scipy/signal/_iir_utils.py
imports: from itertools import product
  import cupy
  from cupy._core.internal import _normalize_axis_index
  from cupy._core._scalar import get_typename
  from cupy_backends.cuda.api import runtime
  from cupyx.scipy.signal._arraytools import axis_slice
label_desc: Use image node_id 5 for calling a global function with example usage: compute_correction_factors(a, block_sz, dtype) and returns: correction