code: def _std(
      a,
      axis=None,
      dtype=None,
      out=None,
      ddof=0,
      keepdims=False,
      *,
      where=True,
      mean=None,
  ):
      ret = _var(
          a,
          axis=axis,
          dtype=dtype,
          out=out,
          ddof=ddof,
          keepdims=keepdims,
          where=where,
          mean=mean,
      )
  
      if isinstance(ret, mu.ndarray):
          ret = um.sqrt(ret, out=ret)
      elif hasattr(ret, "dtype"):
          ret = ret.dtype.type(um.sqrt(ret))
      else:
          ret = um.sqrt(ret)
  
      return ret
  
imports: import os
  import pickle
  import warnings
  from contextlib import nullcontext
  from numpy._core import multiarray
  from numpy._core import umath
  from numpy._core.multiarray import asanyarray
  from numpy._core import numerictypes
  from numpy._core import _exceptions
  from numpy._core._ufunc_config import _no_nep50_warning
  from numpy._globals import _NoValue
label_desc: Use image node_id 11 for calling a global function with example usage: _std(a, axis, dtype, out, ddof, keepdims) and returns: ret