def test_get_subsampled_orig_events(self):
sample = Sample(data1_fcs_path,
cache_original_events=True,
subsample=500)
events = sample.get_events(source='orig', subsample=True)
self.assertEqual(events.shape[0], 500)
def test_get_subsampled_raw_events(self):
sample = Sample(data1_fcs_path, subsample=500)
events = sample.get_events(source='raw', subsample=True)
self.assertEqual(events.shape[0], 500)
"""
Unit tests for Transform sub-classes
"""
import unittest
import numpy as np
import warnings
from flowkit import Sample, transforms
data1_fcs_path = 'examples/data/gate_ref/data1.fcs'
data1_sample = Sample(data1_fcs_path)
data1_raw_events = data1_sample.get_events(source='raw')
test_data_range1 = np.linspace(0.0, 10.0, 101)
class TransformsTestCase(unittest.TestCase):
"""Tests for loading FCS files as Sample objects"""
def test_transform_sample_linear(self):
xform = transforms.LinearTransform('lin',
param_t=data1_raw_events.max(),
param_a=0.0)
data1_sample.apply_transform(xform)
xform_events = xform.apply(data1_raw_events)
self.assertIsInstance(xform_events, np.ndarray)
self.assertEqual(np.max(xform_events), 1.0)
self.assertEqual(np.min(xform_events), 0.0)
def test_transform_sample_linear_1d(self):
