code: def get_default_static_quant_module_mappings() -> Dict[Callable, Any]:
      """Get module mapping for post training static quantization"""
      return copy.deepcopy(DEFAULT_STATIC_QUANT_MODULE_MAPPINGS)
  
imports: import copy
  import torch
  from torch import nn
  import torch.nn.functional
  import torch.ao.nn.intrinsic
  import torch.ao.nn.intrinsic.quantized
  import torch.ao.nn.intrinsic.quantized.dynamic
  import torch.ao.nn.intrinsic.qat
  import torch.ao.nn.quantized
  import torch.ao.nn.quantized.reference
  import torch.ao.nn.quantized.dynamic
  import torch.ao.nn.qat
  import torch.ao.nn.qat.dynamic
  from typing import Optional, Union, Dict, Set, Callable, Any
  import torch.ao.nn.sparse
  import torch.ao.nn
  from torch.ao.quantization.stubs import QuantStub, DeQuantStub
  from torch.ao.quantization.fake_quantize import default_fixed_qparams_range_0to1_fake_quant, default_fixed_qparams_range_neg1to1_fake_quant
  from torch.ao.quantization.utils import get_combined_dict
  from torch.nn.utils.parametrize import type_before_parametrizations
label_desc: Use image node_id 2 for calling a global function with example usage: get_default_static_quant_module_mappings() and returns: copy