test_mm_lj Namespace Reference

Functions
def	examine_interval (i, j, path_distance, min, max, step, mmljet)

Variables
	mmljet = core.scoring.mm.MMLJEnergyTable()
	mmljs = core.scoring.mm.MMLJScore()
	step
	rep1
	atr1
	drep1
	datr1
	rep2
	atr2
	drep2
	datr2
tuple	ndrep = (rep2 - rep1) / step
tuple	ndatr = (atr2 - atr1) / step
tuple	drep = (drep1 + drep2) / 2
tuple	datr = (datr1 + datr2) / 2

Function Documentation

examine_interval()

def test_mm_lj.examine_interval	(		i,
			j,
			path_distance,
			min,
			max,
			step,
			mmljet
	)

Variable Documentation

atr1

test_mm_lj.atr1

atr2

test_mm_lj.atr2

datr

tuple test_mm_lj.datr = (datr1 + datr2) / 2

datr1

test_mm_lj.datr1

datr2

test_mm_lj.datr2

drep

tuple test_mm_lj.drep = (drep1 + drep2) / 2

drep1

test_mm_lj.drep1

drep2

test_mm_lj.drep2

mmljet

test_mm_lj.mmljet = core.scoring.mm.MMLJEnergyTable()

mmljs

test_mm_lj.mmljs = core.scoring.mm.MMLJScore()

ndatr

tuple test_mm_lj.ndatr = (atr2 - atr1) / step

ndrep

tuple test_mm_lj.ndrep = (rep2 - rep1) / step

rep1

test_mm_lj.rep1

rep2

test_mm_lj.rep2

step

test_mm_lj.step

Referenced by annealTemperature(), calc_scores(), correct_dunbrack(), MatchSet.get_contacting_stub(), numeric::nls.lm_lmdif(), main(), my_main(), FragmentAssemblyMover.run(), FragMonteCarlo.run(), numeric::interpolation::Histogram< X, Y >.set_params(), testone(), and visualize().