old_contents: import numpy as np
  
  
  class Box(object):
      """A box representing the bounds of the system.
  
      Attributes
      ----------
      mins : np.ndarray, shape=(3,), dtype=float
          Minimum x, y, z coordinates.
      maxs : np.ndarray, shape=(3,), dtype=float
          Maximum x, y, z coordinates.
      lengths : np.ndarray, shape(3,), dtype=float
          Box length in x, y and z directions.
  
      """
      def __init__(self, lengths=None, mins=None, maxs=None):
          if lengths is not None:
              assert mins is None and maxs is None
              self._mins = np.array([0.0, 0.0, 0.0])
              self._maxs = np.array(lengths, dtype=np.float64)
              self._lengths = np.array(lengths, dtype=np.float64)
          elif maxs is not None:
              assert mins is not None and lengths is None
              self._mins = np.array(mins, dtype=np.float64)
              self._maxs = np.array(maxs, dtype=np.float64)
              self._lengths = self.maxs - self.mins
          else:
              raise ValueError("Either provide `lengths` or `mins` and `maxs`."
                               "You provided: lengths={} mins={} maxs={}".format(lengths, mins, maxs))
  
      @property
      def mins(self):
          return self._mins
  
      @property
      def maxs(self):
          return self._maxs
  
      @property
      def lengths(self):
          return self._lengths
  
      @mins.setter
      def mins(self, mins):
          assert mins.shape == (3, )
          self._mins = mins
          self._lengths = self.maxs - self.mins
  
      @maxs.setter
      def maxs(self, maxes):
          assert maxes.shape == (3, )
          self._maxs = maxes
          self._lengths = self.maxs - self.mins
  
      @lengths.setter
      def lengths(self, lengths):
          assert lengths.shape == (3, )
          self._maxs += 0.5*lengths - 0.5*self.lengths
          self._mins -= 0.5*lengths - 0.5*self.lengths
          self._lengths = lengths
  
      def __repr__(self):
          return "Box(mins={}, maxs={})".format(self.mins, self.maxs)
  
new_contents: import numpy as np
  
  
  class Box(object):
      """A box representing the bounds of the system.
  
      Attributes
      ----------
      mins : np.ndarray, shape=(3,), dtype=float
          Minimum x, y, z coordinates.
      maxs : np.ndarray, shape=(3,), dtype=float
          Maximum x, y, z coordinates.
      lengths : np.ndarray, shape(3,), dtype=float
          Box length in x, y and z directions.
  
      """
      def __init__(self, lengths=None, mins=None, maxs=None):
          if lengths is not None:
              assert mins is None and maxs is None
              self._mins = np.array([0.0, 0.0, 0.0])
              self._maxs = np.array(lengths, dtype=np.float)
              self._lengths = np.array(lengths, dtype=np.float)
          elif maxs is not None:
              assert mins is not None and lengths is None
              self._mins = np.array(mins, dtype=np.float)
              self._maxs = np.array(maxs, dtype=np.float)
              self._lengths = self.maxs - self.mins
          else:
              raise ValueError("Either provide `lengths` or `mins` and `maxs`."
                               "You provided: lengths={} mins={} maxs={}".format(lengths, mins, maxs))
  
      @property
      def mins(self):
          return self._mins
  
      @property
      def maxs(self):
          return self._maxs
  
      @property
      def lengths(self):
          return self._lengths
  
      @mins.setter
      def mins(self, mins):
          assert mins.shape == (3, )
          self._mins = mins
          self._lengths = self.maxs - self.mins
  
      @maxs.setter
      def maxs(self, maxes):
          assert maxes.shape == (3, )
          self._maxs = maxes
          self._lengths = self.maxs - self.mins
  
      @lengths.setter
      def lengths(self, lengths):
          assert lengths.shape == (3, )
          self._maxs += 0.5*lengths - 0.5*self.lengths
          self._mins -= 0.5*lengths - 0.5*self.lengths
          self._lengths = lengths
  
      def __repr__(self):
          return "Box(mins={}, maxs={})".format(self.mins, self.maxs)
  
subject: Change dtype from np.float64 to np.float