Esempio n. 1
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def test_burst_search_and_gate(data_1ch):
    """Test consistency of burst search and gate."""
    d = data_1ch
    assert d.alternated

    # Smoke tests
    bext.burst_search_and_gate(d, F=(6, 8))
    bext.burst_search_and_gate(d, m=(12, 8))
    bext.burst_search_and_gate(d, min_rate_cps=(60e3, 40e3))
    if d.nch > 1:
        mr1 = 35e3 + np.arange(d.nch) * 1e3
        mr2 = 30e3 + np.arange(d.nch) * 1e3
        bext.burst_search_and_gate(d, min_rate_cps=(mr1, mr2))

    # Consistency test
    d_dex = d.copy()
    d_dex.burst_search(ph_sel=Ph_sel(Dex='DAem'))
    d_aex = d.copy()
    d_aex.burst_search(ph_sel=Ph_sel(Aex='Aem'))
    d_and = bext.burst_search_and_gate(d)
    for bursts_dex, bursts_aex, bursts_and, ph in zip(d_dex.mburst,
                                                      d_aex.mburst,
                                                      d_and.mburst,
                                                      d.iter_ph_times()):
        ph_b_mask_dex = bl.ph_in_bursts_mask(ph.size, bursts_dex)
        ph_b_mask_aex = bl.ph_in_bursts_mask(ph.size, bursts_aex)
        ph_b_mask_and = bl.ph_in_bursts_mask(ph.size, bursts_and)
        assert (ph_b_mask_and == ph_b_mask_dex * ph_b_mask_aex).all()
Esempio n. 2
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def test_burst_search_and_gate(data_1ch):
    """Test consistency of burst search and gate."""
    d = data_1ch
    assert d.alternated

    # Smoke tests
    bext.burst_search_and_gate(d, F=(6, 8))
    bext.burst_search_and_gate(d, m=(12, 8))
    bext.burst_search_and_gate(d, min_rate_cps=(60e3, 40e3))
    if d.nch > 1:
        mr1 = 35e3 + np.arange(d.nch) * 1e3
        mr2 = 30e3 + np.arange(d.nch) * 1e3
        bext.burst_search_and_gate(d, min_rate_cps=(mr1, mr2))

    # Consistency test
    d_dex = d.copy()
    d_dex.burst_search(ph_sel=Ph_sel(Dex='DAem'))
    d_aex = d.copy()
    d_aex.burst_search(ph_sel=Ph_sel(Aex='Aem'))
    d_and = bext.burst_search_and_gate(d)
    for bursts_dex, bursts_aex, bursts_and, ph in zip(
            d_dex.mburst, d_aex.mburst, d_and.mburst, d.iter_ph_times()):
        ph_b_mask_dex = bl.ph_in_bursts_mask(ph.size, bursts_dex)
        ph_b_mask_aex = bl.ph_in_bursts_mask(ph.size, bursts_aex)
        ph_b_mask_and = bl.ph_in_bursts_mask(ph.size, bursts_and)
        assert (ph_b_mask_and == ph_b_mask_dex * ph_b_mask_aex).all()
Esempio n. 3
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def test_burst_search_and_gate(data_1ch):
    """Test consistency of burst search and gate."""
    d = data_1ch
    assert d.ALEX
    d_dex = d.copy()
    d_dex.burst_search(ph_sel=Ph_sel(Dex='DAem'))
    d_aex = d.copy()
    d_aex.burst_search(ph_sel=Ph_sel(Aex='Aem'))
    d_and = bext.burst_search_and_gate(d)
    for bursts_dex, bursts_aex, bursts_and, ph in zip(
            d_dex.mburst, d_aex.mburst, d_and.mburst, d.iter_ph_times()):
        ph_b_mask_dex = bl.ph_in_bursts_mask(ph.size, bursts_dex)
        ph_b_mask_aex = bl.ph_in_bursts_mask(ph.size, bursts_aex)
        ph_b_mask_and = bl.ph_in_bursts_mask(ph.size, bursts_and)
        assert (ph_b_mask_and == ph_b_mask_dex * ph_b_mask_aex).all()
Esempio n. 4
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def test_burst_fuse_0ms(data):
    """Test that after fusing with ms=0 the sum of bursts sizes is that same
    as the number of ph in bursts (via burst selection).
    """
    d = data

    df = d.fuse_bursts(ms=0)
    for ich, bursts in enumerate(df.mburst):
        mask = bl.ph_in_bursts_mask(df.ph_data_sizes[ich], bursts)
        assert mask.sum() == bursts.counts.sum()
Esempio n. 5
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def test_burst_fuse_0ms(data):
    """Test that after fusing with ms=0 the sum of bursts sizes is that same
    as the number of ph in bursts (via burst selection).
    """
    d = data
    if d.nch == 8:
        d.burst_search(L=10, m=10, F=7, computefret=False)
        d.mburst[1] = bl.bslib.Bursts.empty()  # Make one channel with no bursts
        d._calc_burst_period()
        d.calc_fret(count_ph=True)
    df = d.fuse_bursts(ms=0)
    for ich, bursts in enumerate(df.mburst):
        mask = bl.ph_in_bursts_mask(df.ph_data_sizes[ich], bursts)
        assert mask.sum() == bursts.counts.sum()
    df.calc_fret(count_ph=True)
    assert len(df.mburst) == len(d.mburst)
    assert len(df.mburst) == d.nch
Esempio n. 6
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def test_burst_fuse_0ms(data):
    """Test that after fusing with ms=0 the sum of bursts sizes is that same
    as the number of ph in bursts (via burst selection).
    """
    d = data
    if d.nch == 8:
        d.burst_search(L=10, m=10, F=7, computefret=False)
        d.mburst[1] = bl.bslib.Bursts.empty(
        )  # Make one channel with no bursts
        d._calc_burst_period()
        d.calc_fret(count_ph=True)
    df = d.fuse_bursts(ms=0)
    for ich, bursts in enumerate(df.mburst):
        mask = bl.ph_in_bursts_mask(df.ph_data_sizes[ich], bursts)
        assert mask.sum() == bursts.counts.sum()
    df.calc_fret(count_ph=True)
    assert len(df.mburst) == len(d.mburst)
    assert len(df.mburst) == d.nch
Esempio n. 7
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def test_burst_ph_data_functions(data):
    """Tests the functions that iterate or operate on per-burst "ph-data".
    """
    d = data
    for bursts, ph, mask in zip(d.mburst, d.iter_ph_times(),
                                d.iter_ph_masks(Ph_sel(Dex='Dem'))):
        bstart = bursts.start
        bend = bursts.stop

        for i, (start, stop) in enumerate(bl.iter_bursts_start_stop(bursts)):
            assert ph[start] == bstart[i]
            assert ph[stop-1] == bend[i]

        for i, burst_ph in enumerate(bl.iter_bursts_ph(ph, bursts)):
            assert burst_ph[0] == bstart[i]
            assert burst_ph[-1] == bend[i]

        for i, burst_ph in enumerate(bl.iter_bursts_ph(ph, bursts, mask=mask)):
            if burst_ph.size > 0:
                assert burst_ph[0] >= bstart[i]
                assert burst_ph[-1] <= bend[i]

        stats = bl.burst_ph_stats(ph, bursts, mask=mask)
        assert (stats[~np.isnan(stats)] >= bstart[~np.isnan(stats)]).all()
        assert (stats[~np.isnan(stats)] <= bend[~np.isnan(stats)]).all()

        bistart = bursts.istart
        biend = bursts.istop
        bursts_mask = bl.ph_in_bursts_mask(ph.size, bursts)
        for i, (start, stop) in enumerate(bl.iter_bursts_start_stop(bursts)):
            assert bursts_mask[start:stop].all()
            if start > 0:
                if i > 0 and biend[i-1] < bistart[i] - 1:
                    assert not bursts_mask[start - 1]
            if stop < ph.size:
                if i < bistart.size-1 and bistart[i+1] > biend[i] + 1:
                    assert not bursts_mask[stop]
Esempio n. 8
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def test_burst_ph_data_functions(data):
    """Tests the functions that iterate or operate on per-burst "ph-data".
    """
    d = data
    for bursts, ph, mask in zip(d.mburst, d.iter_ph_times(),
                                d.iter_ph_masks(Ph_sel(Dex='Dem'))):
        bstart = bursts.start
        bend = bursts.stop

        for i, (start, stop) in enumerate(bl.iter_bursts_start_stop(bursts)):
            assert ph[start] == bstart[i]
            assert ph[stop - 1] == bend[i]

        for i, burst_ph in enumerate(bl.iter_bursts_ph(ph, bursts)):
            assert burst_ph[0] == bstart[i]
            assert burst_ph[-1] == bend[i]

        for i, burst_ph in enumerate(bl.iter_bursts_ph(ph, bursts, mask=mask)):
            if burst_ph.size > 0:
                assert burst_ph[0] >= bstart[i]
                assert burst_ph[-1] <= bend[i]

        stats = bl.burst_ph_stats(ph, bursts, mask=mask)
        assert (stats[~np.isnan(stats)] >= bstart[~np.isnan(stats)]).all()
        assert (stats[~np.isnan(stats)] <= bend[~np.isnan(stats)]).all()

        bistart = bursts.istart
        biend = bursts.istop
        bursts_mask = bl.ph_in_bursts_mask(ph.size, bursts)
        for i, (start, stop) in enumerate(bl.iter_bursts_start_stop(bursts)):
            assert bursts_mask[start:stop].all()
            if start > 0:
                if i > 0 and biend[i - 1] < bistart[i] - 1:
                    assert not bursts_mask[start - 1]
            if stop < ph.size:
                if i < bistart.size - 1 and bistart[i + 1] > biend[i] + 1:
                    assert not bursts_mask[stop]