class_docstr: The base class for a first order solver. It defines methods for
  setting a model (giving first order information) and a proximal
  operator
  
  In only deals with verbosing information, and setting parameters
  
  Parameters
  ----------
  step : `float` default=None
      Step-size of the algorithm
  
  tol : `float`, default=0
      The tolerance of the solver (iterations stop when the stopping
      criterion is below it). By default the solver does ``max_iter``
      iterations
  
  max_iter : `int`
      Maximum number of iterations of the solver
  
  verbose : `bool`, default=True
      If `True`, we verbose things, otherwise the solver does not
      print anything (but records information in history anyway)
  
  print_every : `int`, default = 10
      Print history information every time the iteration number is a
      multiple of ``print_every``
  
  record_every : `int`, default = 1
      Information along iteration is recorded in history each time the
      iteration number of a multiple of ``record_every``
  
  Attributes
  ----------
  model : `Model`
      The model to solve
  
  prox : `Prox`
      Proximal operator to solve
  
  dtype : `{'float64', 'float32'}`, default='float64'
      Type of the arrays used. This value is set from model and prox dtypes.
  
  Notes
  -----
  This class should not be used by end-users
code: def _as_dict(self):
      dd = Solver._as_dict(self)
      if self.model is not None:
          dd["model"] = self.model._as_dict()
      if self.prox is not None:
          dd["prox"] = self.prox._as_dict()
      return dd
  
file_path: tick/tick/solver/base/first_order.py
imports: import numpy
  from .None import Solver
  from tick.base_model import Model
  from tick.prox.base import Prox
label_desc: Use image node_id 7 for calling the SolverFirstOrder obj's underlying member method code with example usage: obj._as_dict() and returns: dd