code: def _validate_quantile(q):
      if isinstance(q, float):
          q = np.asarray(q)
      if q.ndim == 1 and q.size < 10:
          for i in range(q.size):
              if not (0.0 <= q[i] <= 1.0):
                  return False
      else:
          if not (np.all(q >= 0) and np.all(q <= 1)):
              return False
      return True
  
imports: from typing import Optional, Union, Tuple, Sequence
  import numpy
  import math
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
  from ..statistical import _infer_dtype
  from copy import deepcopy
label_desc: Use image node_id 6 for calling a global function with example usage: _validate_quantile(q) and returns: True, False, False