code: def alias_buffer(self, i, pattern):
      assert len(pattern) == len(
          self.sts[i].shape
      ), f"must include a pattern for each shape {pattern} {self.sts[i].shape}"
  
      bst = 1
      real_strides = self.sts[i].real_strides()
      shp, stride = [
          (s if p != 0 else 1)
          for s, p in zip(self.sts[i].shape, pattern)
      ], [0] * len(pattern)
      for priority in range(
          1, max(pattern) + 1
      ):  # priority. 0 is non local and ignored
          for j, p in enumerate(pattern):
              if priority == p and real_strides[j] != 0:
                  stride[j] = bst
                  bst *= shp[j]
  
      self.sts.append(
          ShapeTracker((View.create(tuple(shp), tuple(stride)),))
      )
      self.bufs.append(
          LocalBuffer(name=f"ldata{i}", size=self.sts[-1].size)
      )
      if DEBUG >= 4:
          print("aliasing buffer", self.sts[i])
      self.local_alias[i] = cast(LocalBuffer, self.bufs[-1])
  
imports: from __future__ import annotations
  import os, math, itertools
  from typing import NamedTuple, Optional, List, Tuple, cast, Dict, Union
  from tinygrad.ops import LazyOp, FlopCounter, get_lazyop_info, UnaryOps, BinaryOps, ReduceOps, MemBuffer, ConstBuffer, BufferOps
  from tinygrad.device import Device, Compiled
  from tinygrad.dtype import dtypes, ImageDType, DType
  from tinygrad.helpers import dedup, colored, ansilen, getenv, prod, DEBUG, round_up, all_int
  from tinygrad.shape.shapetracker import ShapeTracker, get_contraction
  from tinygrad.shape.symbolic import sint
  from tinygrad.shape.view import View, strides_for_shape
  from dataclasses import dataclass
  from enum import Enum, auto
label_desc: Use image node_id 25 for calling the Kernel obj's underlying member method code with example usage: obj.alias_buffer(i, pattern) without return types