code: def _maybe_convert_to_type(a: NumberType, typ: type) -> NumberType:
      if not isinstance(a, Number):
          msg = f"Found unknown type {type(a)} when trying to convert scalars!"
          raise ValueError(msg)
      if not utils.is_weakly_lesser_type(type(a), typ):
          msg = f"Scalar {a} of type {type(a)} cannot be safely cast to type {typ}!"
          raise ValueError(msg)
  
      return typ(a)
  
imports: import inspect
  import warnings
  from functools import wraps
  from itertools import chain
  from typing import Callable, NamedTuple, Optional, overload, Sequence, Tuple
  import torch
  import torch._prims_common
  from torch._prims_common import CustomOutParamAnnotation, ELEMENTWISE_TYPE_PROMOTION_KIND, Number, NumberType, ShapeType, TensorLike, TensorLikeType
  from torch.utils import _pytree
  from torch.utils._pytree import tree_flatten, tree_unflatten
label_desc: Use image node_id 6 for calling a global function with example usage: _maybe_convert_to_type(a, typ) and returns: typ