code: def simplify_ones(self) -> bool:
      # remove places where the shape is all ones
      # TODO: this should be factored in to multi shape stride
      if self.shape_len == 0:
          return False
      all_ones = [s == 1 for s in self.full_shape]
      self.local_dims -= sum(
          all_ones[
              self.first_reduce - self.local_dims : self.first_reduce
          ]
      )
      self.upcasted -= sum(all_ones[self.shape_len - self.upcasted :])
      self.reshape_and_permute(
          lambda shape: [
              x for i, x in enumerate(shape) if not all_ones[i]
          ],
          None,
      )
      return any(all_ones)
  
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 21 for calling the Kernel obj's underlying member method code with example usage: obj.simplify_ones() and returns: any, False