code: def _wrapped_qr(a):
      """
      A wrapper for np.linalg.qr that handles arrays with 0 rows
  
      Notes: Created for tsqr so as to manage cases with uncertain
      array dimensions. In particular, the case where arrays have
      (uncertain) chunks with 0 rows.
      """
      # workaround may be removed when numpy stops rejecting edge cases
      if a.shape[0] == 0:
          return np.zeros_like(a, shape=(0, 0)), np.zeros_like(
              a, shape=(0, a.shape[1])
          )
      else:
          return np.linalg.qr(a)
  
imports: from __future__ import annotations
  import operator
  import warnings
  from functools import partial
  from numbers import Number
  import numpy
  import tlz
  from dask.array.core import Array, concatenate, dotmany, from_delayed
  from dask.array.creation import eye
  from dask.array.random import RandomState, default_rng
  from dask.array.utils import array_safe, meta_from_array, solve_triangular_safe, svd_flip
  from dask.base import tokenize, wait
  from dask.blockwise import blockwise
  from dask.delayed import delayed
  from dask.highlevelgraph import HighLevelGraph
  from dask.utils import apply, derived_from
label_desc: Use image node_id 4 for calling a global function with example usage: _wrapped_qr(a) and returns: np,  np, np