示例#1
0
    def tst_consistent(self):
        from random import randint
        from dials.model.data import Shoebox
        from dials.array_family import flex

        for i in range(1000):

            x0 = randint(0, 1000)
            y0 = randint(0, 1000)
            z0 = randint(0, 1000)
            x1 = randint(1, 10) + x0
            y1 = randint(1, 10) + y0
            z1 = randint(1, 10) + z0
            try:
                shoebox = Shoebox((x0, x1, y0, y1, z0, z1))
                assert (not shoebox.is_consistent())
                shoebox.allocate()
                assert (shoebox.is_consistent())
                shoebox.data = flex.real(flex.grid(20, 20, 20))
                assert (not shoebox.is_consistent())
                shoebox.deallocate()
                assert (not shoebox.is_consistent())
            except Exception, e:
                print x0, y0, z0, x1, y1, z1
                raise
示例#2
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def test_consistent():
    from dials.array_family import flex

    for i in range(1000):
        x0 = random.randint(0, 1000)
        y0 = random.randint(0, 1000)
        z0 = random.randint(0, 1000)
        x1 = random.randint(1, 10) + x0
        y1 = random.randint(1, 10) + y0
        z1 = random.randint(1, 10) + z0
        try:
            shoebox = Shoebox((x0, x1, y0, y1, z0, z1))
            assert not shoebox.is_consistent()
            shoebox.allocate()
            assert shoebox.is_consistent()
            shoebox.data = flex.real(flex.grid(20, 20, 20))
            assert not shoebox.is_consistent()
            shoebox.deallocate()
            assert not shoebox.is_consistent()
        except Exception:
            print(x0, y0, z0, x1, y1, z1)
            raise
示例#3
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def test_split_partials_with_shoebox():
    from dials.model.data import Shoebox

    r = flex.reflection_table()
    r["value1"] = flex.double()
    r["value2"] = flex.int()
    r["value3"] = flex.double()
    r["bbox"] = flex.int6()
    r["panel"] = flex.size_t()
    r["shoebox"] = flex.shoebox()
    expected = []
    for i in range(100):
        x0 = random.randint(0, 100)
        x1 = x0 + random.randint(1, 10)
        y0 = random.randint(0, 100)
        y1 = y0 + random.randint(1, 10)
        z0 = random.randint(0, 100)
        z1 = z0 + random.randint(1, 10)
        v1 = random.uniform(0, 100)
        v2 = random.randint(0, 100)
        v3 = random.uniform(0, 100)
        sbox = Shoebox(0, (x0, x1, y0, y1, z0, z1))
        sbox.allocate()
        assert sbox.is_consistent()
        w = x1 - x0
        h = y1 - y0
        for z in range(z0, z1):
            for y in range(y0, y1):
                for x in range(x0, x1):
                    sbox.data[z - z0, y - y0, x - x0] = x + y * w + z * w * h
        r.append({
            "value1": v1,
            "value2": v2,
            "value3": v3,
            "bbox": (x0, x1, y0, y1, z0, z1),
            "panel": 0,
            "shoebox": sbox,
        })
        for z in range(z0, z1):
            sbox = Shoebox(0, (x0, x1, y0, y1, z, z + 1))
            sbox.allocate()
            assert sbox.is_consistent()
            w = x1 - x0
            h = y1 - y0
            for y in range(y0, y1):
                for x in range(x0, x1):
                    sbox.data[0, y - y0, x - x0] = x + y * w + z * w * h
            expected.append({
                "value1": v1,
                "value2": v2,
                "value3": v3,
                "bbox": (x0, x1, y0, y1, z, z + 1),
                "partial_id": i,
                "panel": 0,
                "shoebox": sbox,
            })

    r.split_partials_with_shoebox()
    assert len(r) == len(expected)
    EPS = 1e-7
    for r1, r2 in zip(r.rows(), expected):
        assert abs(r1["value1"] - r2["value1"]) < EPS
        assert r1["value2"] == r2["value2"]
        assert abs(r1["value3"] - r2["value3"]) < EPS
        assert r1["bbox"] == r2["bbox"]
        assert r1["partial_id"] == r2["partial_id"]
        assert r1["panel"] == r2["panel"]
        assert (r1["shoebox"].data.as_double().as_1d().all_approx_equal(
            r2["shoebox"].data.as_double().as_1d()))
示例#4
0
    def tst_split_partials_with_shoebox(self):
        from dials.array_family import flex
        from random import randint, uniform
        from dials.model.data import Shoebox
        r = flex.reflection_table()
        r['value1'] = flex.double()
        r['value2'] = flex.int()
        r['value3'] = flex.double()
        r['bbox'] = flex.int6()
        r['panel'] = flex.size_t()
        r['shoebox'] = flex.shoebox()
        expected = []
        for i in range(100):
            x0 = randint(0, 100)
            x1 = x0 + randint(1, 10)
            y0 = randint(0, 100)
            y1 = y0 + randint(1, 10)
            z0 = randint(0, 100)
            z1 = z0 + randint(1, 10)
            v1 = uniform(0, 100)
            v2 = randint(0, 100)
            v3 = uniform(0, 100)
            sbox = Shoebox(0, (x0, x1, y0, y1, z0, z1))
            sbox.allocate()
            assert (sbox.is_consistent())
            w = x1 - x0
            h = y1 - y0
            for z in range(z0, z1):
                for y in range(y0, y1):
                    for x in range(x0, x1):
                        sbox.data[z - z0, y - y0,
                                  x - x0] = x + y * w + z * w * h
            r.append({
                'value1': v1,
                'value2': v2,
                'value3': v3,
                'bbox': (x0, x1, y0, y1, z0, z1),
                'panel': 0,
                'shoebox': sbox
            })
            for z in range(z0, z1):
                sbox = Shoebox(0, (x0, x1, y0, y1, z, z + 1))
                sbox.allocate()
                assert (sbox.is_consistent())
                w = x1 - x0
                h = y1 - y0
                for y in range(y0, y1):
                    for x in range(x0, x1):
                        sbox.data[0, y - y0, x - x0] = x + y * w + z * w * h
                expected.append({
                    'value1': v1,
                    'value2': v2,
                    'value3': v3,
                    'bbox': (x0, x1, y0, y1, z, z + 1),
                    'partial_id': i,
                    'panel': 0,
                    'shoebox': sbox
                })

        r.split_partials_with_shoebox()
        assert (len(r) == len(expected))
        EPS = 1e-7
        for r1, r2 in zip(r, expected):
            assert (abs(r1['value1'] - r2['value1']) < EPS)
            assert (r1['value2'] == r2['value2'])
            assert (abs(r1['value3'] - r2['value3']) < EPS)
            assert (r1['bbox'] == r2['bbox'])
            assert (r1['partial_id'] == r2['partial_id'])
            assert (r1['panel'] == r2['panel'])
            assert (r1['shoebox'].data.as_double().as_1d().all_approx_equal(
                r2['shoebox'].data.as_double().as_1d()))

        print 'OK'
示例#5
0
  def tst_split_partials_with_shoebox(self):
    from dials.array_family import flex
    from random import randint, uniform
    from dials.model.data import Shoebox
    r = flex.reflection_table()
    r['value1'] = flex.double()
    r['value2'] = flex.int()
    r['value3'] = flex.double()
    r['bbox'] = flex.int6()
    r['panel'] = flex.size_t()
    r['shoebox'] = flex.shoebox()
    expected = []
    for i in range(100):
      x0 = randint(0, 100)
      x1 = x0 + randint(1, 10)
      y0 = randint(0, 100)
      y1 = y0 + randint(1, 10)
      z0 = randint(0, 100)
      z1 = z0 + randint(1, 10)
      v1 = uniform(0, 100)
      v2 = randint(0, 100)
      v3 = uniform(0, 100)
      sbox = Shoebox(0, (x0, x1, y0, y1, z0, z1))
      sbox.allocate()
      assert(sbox.is_consistent())
      w = x1 - x0
      h = y1 - y0
      for z in range(z0, z1):
        for y in range(y0, y1):
          for x in range(x0, x1):
            sbox.data[z-z0,y-y0,x-x0] = x+y*w+z*w*h
      r.append({
        'value1' : v1,
        'value2' : v2,
        'value3' : v3,
        'bbox' : (x0, x1, y0, y1, z0, z1),
        'panel' : 0,
        'shoebox' : sbox
      })
      for z in range(z0, z1):
        sbox = Shoebox(0, (x0, x1, y0, y1, z, z+1))
        sbox.allocate()
        assert(sbox.is_consistent())
        w = x1 - x0
        h = y1 - y0
        for y in range(y0, y1):
          for x in range(x0, x1):
            sbox.data[0,y-y0,x-x0] = x+y*w+z*w*h
        expected.append({
          'value1' : v1,
          'value2' : v2,
          'value3' : v3,
          'bbox' : (x0, x1, y0, y1, z, z+1),
          'partial_id' : i,
          'panel' : 0,
          'shoebox' : sbox
        })

    r.split_partials_with_shoebox()
    assert(len(r) == len(expected))
    EPS = 1e-7
    for r1, r2 in zip(r, expected):
      assert(abs(r1['value1'] - r2['value1']) < EPS)
      assert(r1['value2'] == r2['value2'])
      assert(abs(r1['value3'] - r2['value3']) < EPS)
      assert(r1['bbox'] == r2['bbox'])
      assert(r1['partial_id'] == r2['partial_id'])
      assert(r1['panel'] == r2['panel'])
      assert(r1['shoebox'].data.as_double().as_1d().all_approx_equal(
        r2['shoebox'].data.as_double().as_1d()))

    print 'OK'