code: def _patch_lang_math(lang, builder):
      math = lang.math
      mapping = {
          "abs": "abs",
          "acos": "arccos",
          "asin": "arcsin",
          "exp2": "exp2",
          "log2": "log2",
          "max": "maximum",
      }
  
      def make_numpy(name):
          def impl(*args, **kwargs):
              ret_type = args[0].type  # TODO: incorrect
              ret_dtype = args[0].dtype  # TODO: incorrect
              args = [arg.handle.data for arg in args]
              kwargs = {k: v.handle.data for k, v in kwargs.items()}
              ret = getattr(np, mapping[name])(*args, **kwargs)
              ret = tl.core.tensor(
                  TensorHandle(ret, ret_dtype), ret_type
              )
              return ret
  
          return impl
  
      def make_fallback(name):
          def fallback(*args, **kwargs):
              raise NotImplementedError(
                  f"""
  {name} not supported in interpreter mode: no known numpy implementation.
  If you think that {name} in fact does have a numpy implementation, please add it
  to the mapping in python/triton/interpreter/new_interpreter.py:_patch_lang_math.
  """
              )
  
          return fallback
  
      for name, member in inspect.getmembers(math):
          if name in mapping:
              setattr(math, name, make_numpy(name))
          else:
              setattr(math, name, make_fallback(name))
  
imports: import inspect
  import numpy
  import triton
  import triton.language
  from .._C.libtriton import interpreter
label_desc: Use image node_id 6 for calling a global function with example usage: _patch_lang_math(lang, builder) and returns: impl, fallback, ret