code: def _validate_partition_arguments(a, kth, axis, kind, order, kw):
      a = astensor(a)
      if axis is None:
          a = a.flatten()
          axis = 0
      else:
          axis = validate_axis(a.ndim, axis)
      if isinstance(kth, ENTITY_TYPE):
          kth = astensor(kth)
          _check_kth_dtype(kth.dtype)
      else:
          kth = np.atleast_1d(kth)
          kth = _validate_kth_value(kth, a.shape[axis])
      if kth.ndim > 1:
          raise ValueError("object too deep for desired array")
      if kind != "introselect":
          raise ValueError(f"{kind} is an unrecognized kind of select")
      # if a is structure type and order is not None
      order = validate_order(a.dtype, order)
      need_align = kw.pop("need_align", None)
      if len(kw) > 0:
          raise TypeError(
              f"partition() got an unexpected keyword argument '{next(iter(kw))}'"
          )
  
      return a, kth, axis, kind, order, need_align
  
imports: import itertools
  import numpy
  from ...None import opcodes
  from ...core import recursive_tile
  from ...serialization.serializables import FieldTypes, KeyField, Int32Field, StringField, ListField, BoolField, AnyField
  from ...utils import has_unknown_shape, flatten, stack_back
  from ...core import ENTITY_TYPE, ExecutableTuple
  from ..operands import TensorOperand, TensorShuffleProxy
  from ..core import TENSOR_TYPE, TENSOR_CHUNK_TYPE, TensorOrder
  from ..array_utils import as_same_device, device
  from ..datasource import tensor
  from ..utils import validate_axis, validate_order
  from .psrs import TensorPSRSOperandMixin
label_desc: Use image node_id 3 for calling a global function with example usage: _validate_partition_arguments(a, kth, axis, kind, order, kw) and returns: a,  kth,  axis,  kind,  order,  need_align