code: def logical_and(a, b):
      """A version of tf.logical_and that eagerly evaluates if possible."""
      a_value = get_static_value(a)
      if a_value is not None:
          if np.isscalar(a_value):
              if a_value:
                  return _maybe_static(b)
              else:
                  return a_value
          else:
              return a_value & _maybe_static(b)
      else:
          return a & _maybe_static(b)
  
imports: import funcsigs
  import numpy
  import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import arrays
  from trax.tf_numpy.numpy_impl import dtypes
label_desc: Use image node_id 25 for calling a global function with example usage: logical_and(a, b) and returns: unknown, unknown, _maybe_static, a_value