code: def sequential_or(*conditions):
      """
      Use ``or`` operator between all conditions. Function is just
      a syntax sugar that make long Tensorfow logical conditions looks
      less ugly.
  
      Parameters
      ----------
      *conditions
          Conditions that returns ``True`` or ``False``
      """
      first_condition, other_conditions = conditions[0], conditions[1:]
      if not other_conditions:
          return first_condition
      return tf.logical_or(
          first_condition, sequential_or(*other_conditions)
      )
  
file_path: neupy/neupy/algorithms/minsearch/wolfe.py
imports: import tensorflow
  from neupy.utils import asfloat
label_desc: Use image node_id 1 for calling a global function with example usage: sequential_or() and returns: tf, first_condition