class_docstr: The observation of current step.
  
  Used when policy only depends on the latest state, but not history.
  The key list is not full. You can add more if more information is needed by your policy.
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code: def observation_space(self) -> spaces.Dict:
      space = {
          "acquiring": spaces.Discrete(2),
          "cur_step": spaces.Box(
              0, self.max_step - 1, shape=(), dtype=np.int32
          ),
          "num_step": spaces.Box(
              self.max_step, self.max_step, shape=(), dtype=np.int32
          ),
          "target": spaces.Box(-EPS, np.inf, shape=()),
          "position": spaces.Box(-EPS, np.inf, shape=()),
      }
      return spaces.Dict(space)
  
imports: from __future__ import annotations
  import math
  from typing import Any, List, Optional, cast
  import numpy
  import pandas
  from gym import spaces
  from qlib.constant import EPS
  from qlib.rl.data.base import ProcessedDataProvider
  from qlib.rl.interpreter import ActionInterpreter, StateInterpreter
  from qlib.rl.order_execution.state import SAOEState
  from qlib.typehint import TypedDict
  from qlib.utils import init_instance_by_config
label_desc: Use image node_id 2 for calling the CurrentStepStateInterpreter obj's underlying member method code with example usage: obj.observation_space() and returns: spaces