code: def __eq__(self, other):
      if not isinstance(other, ViewAndMutationMeta):
          return NotImplemented
      return (
          self.input_info == other.input_info
          and self.output_info == other.output_info
          and self.num_intermediate_bases
          == other.num_intermediate_bases
          and self.keep_input_mutations == other.keep_input_mutations
          and self.is_rng_op_functionalized
          == other.is_rng_op_functionalized
          and self.num_outputs_rng_offset
          == other.num_outputs_rng_offset
          and len(self.traced_tangents) == len(other.traced_tangents)
          and all(
              x.shape == y.shape and x.dtype == y.dtype
              for x, y, in zip(
                  self.traced_tangents, other.traced_tangents
              )
          )
      )
  
imports: import collections
  from dataclasses import dataclass
  from enum import Enum
  from typing import Any, Callable, Dict, List, NewType, Optional, Set, Tuple, Union
  import torch
  import torch.utils._pytree
  from torch._guards import Source
  from torch._subclasses import FakeTensor
  from torch._subclasses.fake_tensor import is_fake
  from ..None import config
  from .utils import strict_zip
label_desc: Use image node_id 4 for calling the ViewAndMutationMeta obj's underlying member method code with example usage: obj.__eq__(other) and returns: unknown, NotImplemented