Exemplos de SingleSampler.nearest em Python

Exemplo n.º 1

def test_self_consistent():
    from dials.algorithms.profile_model.modeller import SingleSampler

    scan_range = (2, 12)
    nz = 2
    sampler = SingleSampler(scan_range, nz)

    for i in range(len(sampler)):
        coord = sampler.coord(i)
        index = sampler.nearest(0, coord)
        assert index == i

Exemplo n.º 2

Arquivo: test_single_sampler.py Projeto: kek-pf-mx/dials

def test_self_consistent():
    from dials.algorithms.profile_model.modeller import SingleSampler
    width = 1000
    height = 1000
    scan_range = (2, 12)
    depth = scan_range[1] - scan_range[0]
    nz = 2
    sampler = SingleSampler(scan_range, nz)

    for i in range(len(sampler)):
        coord = sampler.coord(i)
        index = sampler.nearest(0, coord)
        assert (index == i)

Exemplo n.º 3

Arquivo: tst_single_sampler.py Projeto: biochem-fan/dials

  def tst_self_consistent(self):
    from dials.algorithms.profile_model.modeller import SingleSampler
    width = 1000
    height = 1000
    scan_range = (2, 12)
    depth = scan_range[1] - scan_range[0]
    nz = 2
    sampler = SingleSampler(scan_range, nz)

    for i in range(len(sampler)):
      coord = sampler.coord(i)
      index = sampler.nearest(coord)
      assert(index == i)

    print 'OK'

Exemplo n.º 4

def test_nearest():
    from dials.algorithms.profile_model.modeller import SingleSampler

    scan_range = (2, 12)
    depth = scan_range[1] - scan_range[0]
    nz = 2
    sampler = SingleSampler(scan_range, nz)

    for i in range(1000):
        x = random.uniform(0, 1000)
        y = random.uniform(0, 1000)
        z = random.uniform(*scan_range)
        k = int(math.floor((z - scan_range[0]) / (depth / nz)))
        if k >= nz:
            k = nz - 1
        index0 = k
        index1 = sampler.nearest(0, (x, y, z))
        assert index0 == index1

Exemplo n.º 5

Arquivo: tst_single_sampler.py Projeto: biochem-fan/dials

  def tst_nearest(self):
    from random import uniform
    from dials.algorithms.profile_model.modeller import SingleSampler
    from math import floor
    width = 1000
    height = 1000
    scan_range = (2, 12)
    depth = scan_range[1] - scan_range[0]
    nz = 2
    sampler = SingleSampler(scan_range, nz)

    for i in range(1000):
      x = uniform(0, 1000)
      y = uniform(0, 1000)
      z = uniform(*scan_range)
      k = int(floor((z-scan_range[0]) / (depth / nz)))
      if k >= nz:
        k = nz - 1
      index0 = k
      index1 = sampler.nearest((x, y, z))
      assert(index0 == index1)

    print 'OK'

Exemplo n.º 6

Arquivo: tst_single_sampler.py Projeto: hmeduyvesteyn/dials

    def tst_nearest(self):
        from random import uniform
        from dials.algorithms.profile_model.modeller import SingleSampler
        from math import floor
        width = 1000
        height = 1000
        scan_range = (2, 12)
        depth = scan_range[1] - scan_range[0]
        nz = 2
        sampler = SingleSampler(scan_range, nz)

        for i in range(1000):
            x = uniform(0, 1000)
            y = uniform(0, 1000)
            z = uniform(*scan_range)
            k = int(floor((z - scan_range[0]) / (depth / nz)))
            if k >= nz:
                k = nz - 1
            index0 = k
            index1 = sampler.nearest(0, (x, y, z))
            assert (index0 == index1)

        print 'OK'