code: def _masked_sum_power(x, c, t_power):
      return np.sum(np.sign(x[c]) * np.abs(x[c]) ** t_power)
  
imports: import numpy
  from scipy import ndimage, sparse
  from scipy.sparse.csgraph import connected_components
  from scipy.stats import f
  from scipy.stats import t
  from ..fixes import has_numba, jit
  from ..parallel import parallel_func
  from ..source_estimate import MixedSourceEstimate, SourceEstimate, VolSourceEstimate
  from ..source_space import SourceSpaces
  from ..utils import ProgressBar, _check_option, _pl, _validate_type, check_random_state, logger, split_list, verbose, warn
  from .parametric import f_oneway, ttest_1samp_no_p
label_desc: Use image node_id 5 for calling a global function with example usage: _masked_sum_power(x, c, t_power) and returns: np