def sg_inject(path, mod_name):
    r"""Converts all functions in the given Python module to sugar functions
    so that they can be used in a chainable manner.

    Args:
      path: A string. Path to the Python module
      mod_name: A string. The name of the Python module to inject.

    Returns:
      None
    """
    # import module
    import sys
    if path not in list(sys.path):
        sys.path.append(path)
    globals()[mod_name] = importlib.import_module(mod_name)
    # find functions
    for func_name in dir(globals()[mod_name]):
        if isinstance(globals()[mod_name].__dict__.get(func_name), types.FunctionType):
            if not func_name.startswith('_'):
                # inject to tf.Variable type
                exec('tf.Variable.%s = %s.%s' % (func_name, mod_name, func_name))
                # inject to tf.Tensor type
                exec('tf.Tensor.%s = %s.%s' % (func_name, mod_name, func_name))
def sg_inject ( path , mod_name ) : import sys if path not in list ( sys . path ) : sys . path . append ( path ) globals ( ) [ mod_name ] = importlib . import_module ( mod_name ) for func_name in dir ( globals ( ) [ mod_name ] ) : if isinstance ( globals ( ) [ mod_name ] . __dict__ . get ( func_name ) , types . FunctionType ) : if not func_name . startswith ( '_' ) : exec ( 'tf.Variable.%s = %s.%s' % ( func_name , mod_name , func_name ) ) exec ( 'tf.Tensor.%s = %s.%s' % ( func_name , mod_name , func_name ) )
r"""Converts all functions in the given Python module to sugar functions
    so that they can be used in a chainable manner.

    Args:
      path: A string. Path to the Python module
      mod_name: A string. The name of the Python module to inject.

    Returns:
      None