code: def _clamp_value(x, dtype_info):
      # 0th index is max, 1st index is min
      if x > dtype_info[0]:
          return dtype_info[0]
      if x < dtype_info[1]:
          return dtype_info[1]
      return x
  
imports: import numpy
  import hypothesis.extra.numpy
  from hypothesis import strategies
  from hypothesis.internal.floats import float_of
  from functools import reduce
  from operator import mul
  import sys
  import string
  import ml_dtypes
  import ivy_tests.test_ivy.helpers.globals
  from ..pipeline_helper import WithBackendContext
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers import get_dtypes
  from .None import general_helpers
  from .None import dtype_helpers, number_helpers
  from ..globals import mod_backend
label_desc: Use image node_id 9 for calling a global function with example usage: _clamp_value(x, dtype_info) and returns: x, dtype_info, dtype_info