public void Histogram()
{
int[] tmp = new int[] {
6, 34, 1, 7, 2, 10, 20, 25, 30, 35, 40, 9, 19, 24, 29, 34, 39, 40, 2, 14, 21, 27, 32, 36, 40
, 7, 0, 90, 4, 1, 0, 0, 0, 0, 0, -70, 22, 4, 0, -81, -49, 1, 0, -68, 16, 0, 0, 78, -86, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0
, 7, 0, 90, 4, 2, 0, 0, 0, 0, 0, 75, -81, 3, 0, -96, -81, 0, 0, 76, 4, 0, 0, 112, 62, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0
, 7, 0, 90, 4, 3, 0, 0, 0, 0, 0, -80, 60, 3, 0, -74, -46, 0, 0, -85, 1, 0, 0, -106, -112, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0
};
byte[] expected_binary_data = new byte[tmp.Length];
for (int i = 0; i < expected_binary_data.Length; i++)
{
expected_binary_data[i] = (byte)tmp[i];
}
run_metrics run = new run_metrics();
c_csharp_comm.read_interop_from_buffer(expected_binary_data, (uint)expected_binary_data.Length, run.q_metric_set());
filter_options options = new filter_options(tile_naming_method.FourDigit);
read_info_vector reads = new read_info_vector();
reads.Add(new read_info(1, 1, 26));
reads.Add(new read_info(2, 27, 76));
run.run_info(new info(
new flowcell_layout(8, 2, 2, 36, 1, 1, new string_vector(), tile_naming_method.FourDigit),
reads
));
run.legacy_channel_update(instrument_type.HiSeq);
run.finalize_after_load();
bar_plot_data data = new bar_plot_data();
c_csharp_plot.plot_qscore_histogram(run, options, data);
Assert.AreEqual(data.size(), 1);
}
public void Histogram()
{
int[] tmp = new int[]{
6,34,1,7,2,10,20,25,30,35,40,9,19,24,29,34,39,40,2,14,21,27,32,36,40
,7,0,90,4,1,0,0,0,0,0,-70,22,4,0,-81,-49,1,0,-68,16,0,0,78,-86,42,0,0,0,0,0,0,0,0,0
,7,0,90,4,2,0,0,0,0,0,75,-81,3,0,-96,-81,0,0,76,4,0,0,112,62,44,0,0,0,0,0,0,0,0,0
,7,0,90,4,3,0,0,0,0,0,-80,60,3,0,-74,-46,0,0,-85,1,0,0,-106,-112,44,0,0,0,0,0,0,0,0,0
};
byte[] expected_binary_data = new byte[tmp.Length];
for(int i=0;i<expected_binary_data.Length;i++) expected_binary_data[i] = (byte)tmp[i];
run_metrics run = new run_metrics();
c_csharp_comm.read_interop_from_buffer(expected_binary_data, (uint)expected_binary_data.Length, run.q_metric_set());
filter_options options = new filter_options(tile_naming_method.FourDigit);
read_info_vector reads = new read_info_vector();
reads.Add(new read_info(1, 1, 26));
reads.Add(new read_info(2, 27, 76));
run.run_info(new info(
"",
"",
1,
new flowcell_layout(8, 2, 2, 36, 1, 1, new string_vector(), tile_naming_method.FourDigit),
new string_vector(),
new image_dimensions(),
reads
));
run.legacy_channel_update(instrument_type.HiSeq);
run.finalize_after_load();
bar_plot_data data = new bar_plot_data();
c_csharp_plot.plot_qscore_histogram(run, options, data);
Assert.AreEqual(data.size(), 1);
}
public void TestInvalidMetricName()
{
run_metrics metrics = new run_metrics();
filter_options options = new filter_options(tile_naming_method.FourDigit);
candle_stick_plot_data data = new candle_stick_plot_data();
c_csharp_plot.plot_by_cycle(metrics, "NoMetric", options, data);
}
public void TestBadMetricException()
{
int[] tmp = new int[] {
6, 34, 1, 7, 2, 10, 20, 25, 30, 35, 40, 9, 19, 24, 29, 34, 39, 40, 2, 14, 21, 27, 32, 36, 40
, 7, 0, 90, 4, 1, 0, 0, 0, 0, 0, -70, 22, 4, 0, -81, -49, 1, 0, -68, 16, 0, 0, 78, -86, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0
, 7, 0, 90, 4, 2, 0, 0, 0, 0, 0, 75, -81, 3, 0, -96, -81, 0, 0, 76, 4, 0, 0, 112, 62, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0
, 7, 0, 90, 4, 3, 0, 0, 0, 0, 0, -80, 60, 3, 0, -74, -46, 0, 0, -85, 1, 0, 0, -106, -112, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0
};
byte[] expected_binary_data = new byte[tmp.Length];
for (int i = 0; i < expected_binary_data.Length; i++)
{
expected_binary_data[i] = (byte)tmp[i];
}
run_metrics run = new run_metrics();
c_csharp_comm.read_interop_from_buffer(expected_binary_data, (uint)expected_binary_data.Length, run.q_metric_set());
uint ALL_IDS = (uint)filter_options.UseAll.ALL_IDS;
filter_options options = new filter_options(tile_naming_method.FourDigit, ALL_IDS, 0, dna_bases.A, ALL_IDS, 1, 1);
read_info_vector reads = new read_info_vector();
reads.Add(new read_info(1, 1, 26));
reads.Add(new read_info(2, 27, 76));
run.run_info(new info(
new flowcell_layout(8, 2, 2, 36, 1, 1, new string_vector(), tile_naming_method.FourDigit),
reads
));
run.legacy_channel_update(instrument_type.HiSeq);
run.finalize_after_load();
flowcell_data data = new flowcell_data();
c_csharp_plot.plot_flowcell_map(run, "NoMetric", options, data);
}
public void TestInvalidMetricName()
{
run_metrics metrics = new run_metrics();
filter_options options = new filter_options(tile_naming_method.FourDigit);
candle_stick_plot_data data = new candle_stick_plot_data();
c_csharp_plot.plot_by_cycle(metrics, "NoMetric", options, data);
}
public void TestInvalidFilterOption()
{
run_metrics metrics = new run_metrics();
filter_options options = new filter_options(tile_naming_method.FourDigit);
candle_stick_plot_data data = new candle_stick_plot_data();
options.cycle(1);
c_csharp_plot.plot_by_cycle(metrics, metric_type.Intensity, options, data);
}
public void Test_invalid_filter_option()
{
info run_info = new info();
filter_options options = new filter_options(tile_naming_method.FourDigit);
try{
options.validate(metric_type.Intensity, run_info);
Assert.Fail("No exception thrown!");
}catch (Illumina.InterOp.Plot.invalid_filter_option) {}
}
public void IntensityTest()
{
int[] tmp = new int[] { 2, 10
, 7, 0, 90, 4, 100, 0, -67, -66, 15, 74
, 7, 0, 90, 4, 102, 0, 74, 122, -59, 74
, 7, 0, 90, 4, 101, 0, 12, 94, -115, 73
, 7, 0, 90, 4, 103, 0, 16, 54, 66, 74
, 7, 0, 90, 4, -56, 0, 82, -11, 80, 58
, 7, 0, 90, 4, -55, 0, -62, 42, -99, 58
, 7, 0, 90, 4, 44, 1, -102, 113, 39, 64
, 7, 0, -66, 4, 100, 0, -67, -66, 15, 74
, 7, 0, -66, 4, 102, 0, 74, 122, -59, 74
, 7, 0, -66, 4, 101, 0, 46, 103, -113, 73
, 7, 0, -66, 4, 103, 0, 0, 2, 69, 74
, 7, 0, -66, 4, -56, 0, 21, 111, -87, 58
, 7, 0, -66, 4, -55, 0, -86, 29, -79, 58
, 7, 0, -66, 4, 44, 1, 6, -42, 39, 64
, 7, 0, 66, 8, 100, 0, -67, -66, 15, 74
, 7, 0, 66, 8, 102, 0, 74, 122, -59, 74
, 7, 0, 66, 8, 101, 0, 67, -26, -109, 73
, 7, 0, 66, 8, 103, 0, 92, 47, 75, 74
, 7, 0, 66, 8, -56, 0, 123, 22, -100, 58
, 7, 0, 66, 8, -55, 0, 85, 6, 115, 58
, 7, 0, 66, 8, 44, 1, 57, 97, 31, 64 };
byte[] expected_binary_data = new byte[tmp.Length];
for (int i = 0; i < expected_binary_data.Length; i++)
{
expected_binary_data[i] = (byte)tmp[i];
}
run_metrics run = new run_metrics();
c_csharp_comm.read_interop_from_buffer(expected_binary_data, (uint)expected_binary_data.Length, run.tile_metric_set());
filter_options options = new filter_options(tile_naming_method.FourDigit);
read_info_vector reads = new read_info_vector();
reads.Add(new read_info(1, 1, 26));
reads.Add(new read_info(2, 27, 76));
run.run_info(new info(
"",
"",
1,
new flowcell_layout(2, 2, 2, 16),
new string_vector(),
new image_dimensions(),
reads
));
run.set_naming_method(tile_naming_method.FourDigit);
run.legacy_channel_update(instrument_type.HiSeq);
candle_stick_plot_data data = new candle_stick_plot_data();
c_csharp_plot.plot_by_lane(run, metric_type.ClusterCountPF, options, data);
Assert.AreEqual(data.size(), 1);
}
public void TestInvalidFilterOption()
{
run_metrics metrics = new run_metrics();
filter_options options = new filter_options(tile_naming_method.FourDigit);
metrics.extraction_metric_set().insert(new extraction_metric(1, 1101, 1, new ushort_vector(), new float_vector()));
candle_stick_plot_data data = new candle_stick_plot_data();
options.cycle(1);
c_csharp_plot.plot_by_cycle(metrics, metric_type.Intensity, options, data);
}
public void Test_invalid_metric_type_for_plot_flowcell_map()
{
uint ALL_IDS = (uint)filter_options.UseAll.ALL_IDS;
filter_options options = new filter_options(tile_naming_method.FourDigit, ALL_IDS, 0, dna_bases.A, ALL_IDS, 1, 1);
run_metrics run = new run_metrics();
flowcell_data data = new flowcell_data();
try{
c_csharp_plot.plot_flowcell_map(run, "NoMetric", options, data);
Assert.Fail("No exception thrown!");
}catch (Illumina.InterOp.RunMetrics.invalid_metric_type) {}
}
public void Heatmap()
{
int[] tmp = new int[] {
6, 34, 1, 7, 2, 10, 20, 25, 30, 35, 40, 9, 19, 24, 29, 34, 39, 40, 2, 14, 21, 27, 32, 36, 40
, 7, 0, 90, 4, 1, 0, 0, 0, 0, 0, -70, 22, 4, 0, -81, -49, 1, 0, -68, 16, 0, 0, 78, -86, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0
, 7, 0, 90, 4, 2, 0, 0, 0, 0, 0, 75, -81, 3, 0, -96, -81, 0, 0, 76, 4, 0, 0, 112, 62, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0
, 7, 0, 90, 4, 3, 0, 0, 0, 0, 0, -80, 60, 3, 0, -74, -46, 0, 0, -85, 1, 0, 0, -106, -112, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0
};
byte[] expected_binary_data = new byte[tmp.Length];
for (int i = 0; i < expected_binary_data.Length; i++)
{
expected_binary_data[i] = (byte)tmp[i];
}
run_metrics run = new run_metrics();
c_csharp_comm.read_interop_from_buffer(expected_binary_data, (uint)expected_binary_data.Length, run.q_metric_set());
filter_options options = new filter_options(tile_naming_method.FourDigit);
read_info_vector reads = new read_info_vector();
reads.Add(new read_info(1, 1, 26));
reads.Add(new read_info(2, 27, 76));
run.run_info(new info(
"",
"",
1,
new flowcell_layout(8, 2, 2, 36, 1, 1, new string_vector(), tile_naming_method.FourDigit),
new string_vector(),
new image_dimensions(),
reads
));
run.legacy_channel_update(instrument_type.HiSeq);
run.finalize_after_load();
uint row_count = c_csharp_plot.count_rows_for_heatmap(run);
uint col_count = c_csharp_plot.count_columns_for_heatmap(run);
var buffer = new float[row_count * col_count];
heatmap_data data = new heatmap_data();
c_csharp_plot.plot_qscore_heatmap(run, options, data, buffer);
Assert.AreEqual(data.row_count(), 3);
Assert.AreEqual(data.column_count(), 40);
heatmap_data data2 = new heatmap_data();
c_csharp_plot.plot_qscore_heatmap(run, options, data2);
for (uint row = 0; row < data.row_count(); row++)
{
for (uint col = 0; col < data.column_count(); col++)
{
Assert.AreEqual(buffer[row * data.column_count() + col], data2.at(row, col));
}
}
}
public void IntensityTest()
{
int[] tmp = new int[]{2,10
,7,0,90,4,100,0,-67,-66,15,74
,7,0,90,4,102,0,74,122,-59,74
,7,0,90,4,101,0,12,94,-115,73
,7,0,90,4,103,0,16,54,66,74
,7,0,90,4,-56,0,82,-11,80,58
,7,0,90,4,-55,0,-62,42,-99,58
,7,0,90,4,44,1,-102,113,39,64
,7,0,-66,4,100,0,-67,-66,15,74
,7,0,-66,4,102,0,74,122,-59,74
,7,0,-66,4,101,0,46,103,-113,73
,7,0,-66,4,103,0,0,2,69,74
,7,0,-66,4,-56,0,21,111,-87,58
,7,0,-66,4,-55,0,-86,29,-79,58
,7,0,-66,4,44,1,6,-42,39,64
,7,0,66,8,100,0,-67,-66,15,74
,7,0,66,8,102,0,74,122,-59,74
,7,0,66,8,101,0,67,-26,-109,73
,7,0,66,8,103,0,92,47,75,74
,7,0,66,8,-56,0,123,22,-100,58
,7,0,66,8,-55,0,85,6,115,58
,7,0,66,8,44,1,57,97,31,64
};
byte[] expected_binary_data = new byte[tmp.Length];
for(int i=0;i<expected_binary_data.Length;i++) expected_binary_data[i] = (byte)tmp[i];
run_metrics run = new run_metrics();
c_csharp_comm.read_interop_from_buffer(expected_binary_data, (uint)expected_binary_data.Length, run.tile_metric_set());
filter_options options = new filter_options(tile_naming_method.FourDigit);
read_info_vector reads = new read_info_vector();
reads.Add(new read_info(1, 1, 26));
reads.Add(new read_info(2, 27, 76));
run.run_info(new info(
"",
"",
1,
new flowcell_layout(2, 2, 2, 16),
new string_vector(),
new image_dimensions(),
reads
));
run.set_naming_method(tile_naming_method.FourDigit);
run.legacy_channel_update(instrument_type.HiSeq);
candle_stick_plot_data data = new candle_stick_plot_data();
c_csharp_plot.plot_by_lane(run, metric_type.ClusterCountPF, options, data);
Assert.AreEqual(data.size(), 1);
}
public void Heatmap()
{
int[] tmp = new int[]{
6,34,1,7,2,10,20,25,30,35,40,9,19,24,29,34,39,40,2,14,21,27,32,36,40
,7,0,90,4,1,0,0,0,0,0,-70,22,4,0,-81,-49,1,0,-68,16,0,0,78,-86,42,0,0,0,0,0,0,0,0,0
,7,0,90,4,2,0,0,0,0,0,75,-81,3,0,-96,-81,0,0,76,4,0,0,112,62,44,0,0,0,0,0,0,0,0,0
,7,0,90,4,3,0,0,0,0,0,-80,60,3,0,-74,-46,0,0,-85,1,0,0,-106,-112,44,0,0,0,0,0,0,0,0,0
};
byte[] expected_binary_data = new byte[tmp.Length];
for(int i=0;i<expected_binary_data.Length;i++) expected_binary_data[i] = (byte)tmp[i];
run_metrics run = new run_metrics();
c_csharp_comm.read_interop_from_buffer(expected_binary_data, (uint)expected_binary_data.Length, run.q_metric_set());
filter_options options = new filter_options(tile_naming_method.FourDigit);
read_info_vector reads = new read_info_vector();
reads.Add(new read_info(1, 1, 26));
reads.Add(new read_info(2, 27, 76));
run.run_info(new info(
"",
"",
1,
new flowcell_layout(8, 2, 2, 36, 1, 1, new string_vector(), tile_naming_method.FourDigit),
new string_vector(),
new image_dimensions(),
reads
));
run.legacy_channel_update(instrument_type.HiSeq);
run.finalize_after_load();
uint row_count = c_csharp_plot.count_rows_for_heatmap(run);
uint col_count = c_csharp_plot.count_columns_for_heatmap(run);
var buffer = new float[row_count*col_count];
heatmap_data data = new heatmap_data();
c_csharp_plot.plot_qscore_heatmap(run, options, data, buffer);
Assert.AreEqual(data.row_count(), 3);
Assert.AreEqual(data.column_count(), 40);
heatmap_data data2 = new heatmap_data();
c_csharp_plot.plot_qscore_heatmap(run, options, data2);
for(uint row=0;row<data.row_count();row++)
{
for(uint col=0;col<data.column_count();col++)
{
Assert.AreEqual(buffer[row*data.column_count()+col], data2.at(row,col));
}
}
}
public void PlotFlowcellMap()
{
int[] tmp = new int[] {
6, 34, 1, 7, 2, 10, 20, 25, 30, 35, 40, 9, 19, 24, 29, 34, 39, 40, 2, 14, 21, 27, 32, 36, 40
, 7, 0, 90, 4, 1, 0, 0, 0, 0, 0, -70, 22, 4, 0, -81, -49, 1, 0, -68, 16, 0, 0, 78, -86, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0
, 7, 0, 90, 4, 2, 0, 0, 0, 0, 0, 75, -81, 3, 0, -96, -81, 0, 0, 76, 4, 0, 0, 112, 62, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0
, 7, 0, 90, 4, 3, 0, 0, 0, 0, 0, -80, 60, 3, 0, -74, -46, 0, 0, -85, 1, 0, 0, -106, -112, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0
};
byte[] expected_binary_data = new byte[tmp.Length];
for (int i = 0; i < expected_binary_data.Length; i++)
{
expected_binary_data[i] = (byte)tmp[i];
}
run_metrics run = new run_metrics();
c_csharp_comm.read_interop_from_buffer(expected_binary_data, (uint)expected_binary_data.Length, run.q_metric_set());
uint ALL_IDS = (uint)filter_options.UseAll.ALL_IDS;
filter_options options = new filter_options(tile_naming_method.FourDigit, ALL_IDS, 0, dna_bases.A, ALL_IDS, 1, 1);
read_info_vector reads = new read_info_vector();
reads.Add(new read_info(1, 1, 26));
reads.Add(new read_info(2, 27, 76));
run.run_info(new info(
"",
"",
1,
new flowcell_layout(8, 2, 2, 36, 1, 1, new string_vector(), tile_naming_method.FourDigit),
new string_vector(),
new image_dimensions(),
reads
));
run.legacy_channel_update(instrument_type.HiSeq);
run.finalize_after_load();
var layout = run.run_info().flowcell();
uint lane_count = layout.lane_count();
uint swath_count = layout.total_swaths(layout.surface_count() > 1 && !options.is_specific_surface());
uint tile_count = layout.tiles_per_lane();
float[] data_buffer = new float[lane_count * swath_count * tile_count];
uint[] tile_buffer = new uint[lane_count * swath_count * tile_count];
flowcell_data data = new flowcell_data();
c_csharp_plot.plot_flowcell_map(run, metric_type.QScore, options, data, data_buffer, tile_buffer);
Assert.AreEqual(data.row_count(), 8);
}
public void IntensityTest()
{
int[] tmp = new int[] {
2, 38
, 7, 0, 90, 4, 1, 0, -12, -56, 15, 64, -98, 35, 12, 64, 0, 0, 0, 0, 0, 0, 0, 0, 46, 1, 17, 1, 0, 0, 0, 0, 96, -41, -104, 36, 122, -86, -46, -120
, 7, 0, -66, 4, 1, 0, 96, -43, 14, 64, -63, 49, 13, 64, 0, 0, 0, 0, 0, 0, 0, 0, 56, 1, 17, 1, 0, 0, 0, 0, 112, 125, 77, 38, 122, -86, -46, -120
, 7, 0, 66, 8, 1, 0, 74, -68, 6, 64, -118, -7, 8, 64, 0, 0, 0, 0, 0, 0, 0, 0, 93, 1, 46, 1, 0, 0, 0, 0, -47, -104, 2, 40, 122, -86, -46, -120
};
byte[] expected_binary_data = new byte[tmp.Length];
for (int i = 0; i < expected_binary_data.Length; i++)
{
expected_binary_data[i] = (byte)tmp[i];
}
run_metrics run = new run_metrics();
c_csharp_comm.read_interop_from_buffer(expected_binary_data, (uint)expected_binary_data.Length, run.extraction_metric_set());
var run_param = new parameters();
Assert.AreEqual(run_param.version(), 0);
Assert.AreEqual(run.extraction_metric_set().max_cycle(), 1);
filter_options options = new filter_options(tile_naming_method.FourDigit);
read_info_vector reads = new read_info_vector();
reads.Add(new read_info(1, 1, 26));
reads.Add(new read_info(2, 27, 76));
run.run_info(new info(
"",
"",
1,
new flowcell_layout(2, 2, 2, 16),
new string_vector(),
new image_dimensions(),
reads
));
run.set_naming_method(tile_naming_method.FourDigit);
run.legacy_channel_update(instrument_type.HiSeq);
candle_stick_plot_data data = new candle_stick_plot_data();
c_csharp_plot.plot_by_cycle(run, metric_type.Intensity, options, data);
Assert.AreEqual(data.size(), 4);
}
public void PlotFlowcellMap()
{
int[] tmp = new int[]{
6,34,1,7,2,10,20,25,30,35,40,9,19,24,29,34,39,40,2,14,21,27,32,36,40
,7,0,90,4,1,0,0,0,0,0,-70,22,4,0,-81,-49,1,0,-68,16,0,0,78,-86,42,0,0,0,0,0,0,0,0,0
,7,0,90,4,2,0,0,0,0,0,75,-81,3,0,-96,-81,0,0,76,4,0,0,112,62,44,0,0,0,0,0,0,0,0,0
,7,0,90,4,3,0,0,0,0,0,-80,60,3,0,-74,-46,0,0,-85,1,0,0,-106,-112,44,0,0,0,0,0,0,0,0,0
};
byte[] expected_binary_data = new byte[tmp.Length];
for(int i=0;i<expected_binary_data.Length;i++) expected_binary_data[i] = (byte)tmp[i];
run_metrics run = new run_metrics();
c_csharp_comm.read_interop_from_buffer(expected_binary_data, (uint)expected_binary_data.Length, run.q_metric_set());
uint ALL_IDS = (uint)filter_options.UseAll.ALL_IDS;
filter_options options = new filter_options(tile_naming_method.FourDigit, ALL_IDS, 0, dna_bases.A, ALL_IDS, 1, 1);
read_info_vector reads = new read_info_vector();
reads.Add(new read_info(1, 1, 26));
reads.Add(new read_info(2, 27, 76));
run.run_info(new info(
"",
"",
1,
new flowcell_layout(8, 2, 2, 36, 1, 1, new string_vector(), tile_naming_method.FourDigit),
new string_vector(),
new image_dimensions(),
reads
));
run.legacy_channel_update(instrument_type.HiSeq);
run.finalize_after_load();
var layout = run.run_info().flowcell();
uint lane_count = layout.lane_count();
uint swath_count = layout.total_swaths(layout.surface_count() > 1 && !options.is_specific_surface());
uint tile_count = layout.tiles_per_lane();
float[] data_buffer = new float[lane_count*swath_count*tile_count];
uint[] tile_buffer = new uint[lane_count*swath_count*tile_count];
flowcell_data data = new flowcell_data();
c_csharp_plot.plot_flowcell_map(run, metric_type.QScore, options, data, data_buffer, tile_buffer);
Assert.AreEqual(data.row_count(), 8);
}
public void IntensityTest()
{
int[] tmp = new int[]{
2,38
,7,0,90,4,1,0,-12,-56,15,64,-98,35,12,64,0,0,0,0,0,0,0,0,46,1,17,1,0,0,0,0,96,-41,-104,36,122,-86,-46,-120
,7,0,-66,4,1,0,96,-43,14,64,-63,49,13,64,0,0,0,0,0,0,0,0,56,1,17,1,0,0,0,0,112,125,77,38,122,-86,-46,-120
,7,0,66,8,1,0,74,-68,6,64,-118,-7,8,64,0,0,0,0,0,0,0,0,93,1,46,1,0,0,0,0,-47,-104,2,40,122,-86,-46,-120
};
byte[] expected_binary_data = new byte[tmp.Length];
for(int i=0;i<expected_binary_data.Length;i++) expected_binary_data[i] = (byte)tmp[i];
run_metrics run = new run_metrics();
c_csharp_comm.read_interop_from_buffer(expected_binary_data, (uint)expected_binary_data.Length, run.extraction_metric_set());
var run_param = new parameters();
Assert.AreEqual(run_param.version(), 0);
Assert.AreEqual(run.extraction_metric_set().MaxCycle, 1);
filter_options options = new filter_options(tile_naming_method.FourDigit);
read_info_vector reads = new read_info_vector();
reads.Add(new read_info(1, 1, 26));
reads.Add(new read_info(2, 27, 76));
run.run_info(new info(
"",
"",
1,
new flowcell_layout(2, 2, 2, 16),
new string_vector(),
new image_dimensions(),
reads
));
run.set_naming_method(tile_naming_method.FourDigit);
run.legacy_channel_update(instrument_type.HiSeq);
candle_stick_plot_data data = new candle_stick_plot_data();
c_csharp_plot.plot_by_cycle(run, metric_type.Intensity, options, data);
Assert.AreEqual(data.size(), 4);
}
