class_docstr: Projection operator onto the half-space of vectors with
  non-negative entries
  
  Parameters
  ----------
  range : `tuple` of two `int`, default=`None`
      Range on which the prox is applied. If `None` then the prox is
      applied on the whole vector
  
  Attributes
  ----------
  dtype : `{'float64', 'float32'}`
      Type of the arrays used.
docstr: Returns the projected ``coeffs``
  
  Parameters
  ----------
  coeffs : `numpy.ndarray`, shape=(n_coeffs,)
      Vector to be projected
  
  Returns
  -------
  output : `float`
      Returns 0 (as this is a projection)
code: def value(self, coeffs: np.ndarray):
      """
      Returns the projected ``coeffs``
  
      Parameters
      ----------
      coeffs : `numpy.ndarray`, shape=(n_coeffs,)
          Vector to be projected
  
      Returns
      -------
      output : `float`
          Returns 0 (as this is a projection)
      """
      return self._prox.value(coeffs)
  
file_path: tick/tick/prox/prox_positive.py
imports: import numpy
  from .base import Prox
  from .build.prox import ProxPositiveDouble
  from .build.prox import ProxPositiveFloat
label_desc: Use image node_id 3 for calling the ProxPositive obj's underlying member method code with example usage: obj.value(coeffs) and returns: self