code: def __init__(self, optimizer=None, initialization=None):
      if optimizer is None:
          optimizer = ScipyMinimize(jac="autodiff")
  
      if initialization is None:
          initialization = self._default_initialization
  
      self.optimizer = optimizer
      self.initialization = initialization
  
imports: import math
  from abc import ABC, abstractmethod
  import geomstats.backend
  from geomstats.numerics.bvp import ScipySolveBVP
  from geomstats.numerics.ivp import GSIVPIntegrator
  from geomstats.numerics.optimizers import ScipyMinimize
  from geomstats.vectorization import get_batch_shape
label_desc: Use image node_id 1 to create a new _LogShootingSolverFlatten object from inherited base classes: _GeodesicBVPFromExpMixins, LogSolver with example: obj = _LogShootingSolverFlatten(optimizer, initialization)