text: import pandas
  
  from modin.engines.base.frame.partition import BaseFramePartition
  from modin.data_management.utils import length_fn_pandas, width_fn_pandas
  
  
  class DaskFramePartition(BaseFramePartition):
      def __init__(self, dask_obj, func=None):
          import dask
  
          self.dask_obj = dask_obj
          self.delayed_call = (
              dask_obj if func is None else dask.delayed(func[0])(dask_obj, **func[1])
          )
  
      def get(self):
          """Return the object wrapped by this one to the original format.
  
          Note: This is the opposite of the classmethod `put`.
              E.g. if you assign `x = BaseFramePartition.put(1)`, `x.get()` should
              always return 1.
  
          Returns:
              The object that was `put`.
          """
          self.delayed_call = self.dask_obj
          return self.delayed_call.compute()
  
      def apply(self, func, **kwargs):
          """Apply some callable function to the data in this partition.
  
          Note: It is up to the implementation how kwargs are handled. They are
              an important part of many implementations. As of right now, they
              are not serialized.
  
          Args:
              func: The lambda to apply (may already be correctly formatted)
  
          Returns:
               A new `BaseFramePartition` containing the object that has had `func`
               applied to it.
          """
          import dask
  
          # applies the func lazily
          delayed_call = self.delayed_call
          self.delayed_call = self.dask_obj
          return self.__class__(dask.delayed(func)(delayed_call, **kwargs))
  
      def add_to_apply_calls(self, func, **kwargs):
          """Add the function to the apply function call stack.
  
          This function will be executed when apply is called. It will be executed
          in the order inserted; apply's func operates the last and return
          """
          import dask
  
          self.delayed_call = dask.delayed(func)(self.delayed_call, **kwargs)
          return self
  
      def to_pandas(self):
          """Convert the object stored in this partition to a Pandas DataFrame.
  
          Assumes the underlying object is a Pandas DataFrame and simply calls `get`
  
          Returns:
              A Pandas DataFrame.
          """
          return self.get()
  
      @classmethod
      def put(cls, obj):
          """A factory classmethod to format a given object.
  
          Args:
              obj: An object.
  
          Returns:
              A `RemotePartitions` object.
          """
          import dask
  
          # simply wrap the input object by dask.delayed
          return cls(dask.delayed(obj))
  
      @classmethod
      def preprocess_func(cls, func):
          """Preprocess a function before an `apply` call.
  
          Note: This is a classmethod because the definition of how to preprocess
              should be class-wide. Also, we may want to use this before we
              deploy a preprocessed function to multiple `BaseFramePartition`
              objects.
  
          Args:
              func: The function to preprocess.
  
          Returns:
              An object that can be accepted by `apply`.
          """
          # seems that dask does not need any pre-processing
          return func
  
      @classmethod
      def length_extraction_fn(cls):
          return length_fn_pandas
  
      @classmethod
      def width_extraction_fn(cls):
          return width_fn_pandas
  
      @classmethod
      def empty(cls):
          return cls.put(pandas.DataFrame())
  