class_docstr: Wraps functools.partial, same functionality.
  
  Modifies the original partial `__repr__` and `__str__` in other to fix #270
class_docstr_tok: ["Wraps","functools.partial",",","same","functionality",".","Modifies","the","original","partial","`","__repr__","`","and","`","__str__","`","in","other","to","fix","#","270"]
code: def __str__(self):
      name = self._partial.func.__name__
      partial_str = str(self._partial)
      return re.sub(r"<.+>", name, partial_str)
  
imports: import sys, os, re, shutil, typing, itertools, operator, math, warnings, json, random
  import functools, io, cv2, mimetypes, torch, torchvision, dataclasses, zipfile, pickle
  import PIL
  import rasterio
  from copy import copy, deepcopy
  from pdb import set_trace
  from dataclasses import dataclass
  from fastcore.foundation import *
  from fastcore.basics import *
  import numpy
  import torch.nn
  import torch.optim.lr_scheduler
  import matplotlib.pyplot
  from types import BuiltinFunctionType, BuiltinMethodType, MethodType, FunctionType, SimpleNamespace
  from abc import ABC, abstractmethod, abstractproperty, abstractclassmethod, abstractstaticmethod
  from pathlib import Path
  from collections import defaultdict, OrderedDict, namedtuple
  from enum import Enum
  from tqdm.auto import tqdm
  from pycocotools import mask
  from contextlib import contextmanager
  from typing import *
  from operator import itemgetter, attrgetter
  from functools import partial, reduce
  from torch import tensor, Tensor
  from torch.utils.data import DataLoader
  from torch.optim import SGD, Adam, AdamW, Adagrad, Adadelta, RMSprop
  from torch.optim.lr_scheduler import LambdaLR, StepLR, MultiStepLR, MultiplicativeLR, OneCycleLR, CosineAnnealingLR, CosineAnnealingWarmRestarts
  from torchvision.transforms.functional import to_tensor
  from loguru import logger
  from icevision.soft_dependencies import SoftDependencies
label_desc: Use image node_id 3 for calling the partial obj's underlying member method code with example usage: obj.__str__() and returns: re