code: def partial_fit(self, X, y=None, **kwargs):
      time.sleep(self.sleep)
      self._partial_fit_called = True
  
      # Mirroring sklearn's SGDClassifier epoch counting
      if not hasattr(self, "t_"):
          self.t_ = 1
      self.t_ += X.shape[0]
      self.coef_ = X[0]
      return self
  
file_path: dask-ml/dask_ml/_utils.py
imports: import time
  import dask.array
  import numpy
  from sklearn.base import BaseEstimator
label_desc: Use image node_id 3 for calling the ConstantFunction obj's underlying member method code with example usage: obj.partial_fit(X, y) and returns: self