def test_random_orderings(self):
arrs = random_orderings([[0]], [[0]], 10)
self.assertEquals(list(arrs), [ [ 0 ] ])
arrs = random_orderings([[0], [1]], [[0, 1]], 10)
self.assertEquals(list(arrs), [[0, 1], [1, 0]])
arrs = random_orderings([[0, 1], [2, 3]], [[0, 1, 2, 3]], 10)
self.assertEquals(list(arrs),
[[0, 1, 2, 3],
[0, 2, 1, 3],
[0, 3, 1, 2],
[1, 2, 0, 3],
[1, 3, 0, 2],
[2, 3, 0, 1]])
arrs = random_orderings([[0, 1], [2, 3]], [[0, 1, 2, 3]], 3)
arrs = list(arrs)
# Make sure we got three orderings
self.assertEquals(len(arrs), 3)
# And make sure they're all unique
arrs = set(map(tuple, arrs))
self.assertEquals(len(arrs), 3)
def pairedOrderings(n, R):
idxs = np.arange(2 * n)
cond_layout = [ range(0, 2 * n, 2),
range(1, 2 * n, 2) ]
reduced_layout = idxs.reshape((n, 2))
return list(random_orderings(cond_layout, reduced_layout, 100))
def new_sample_indexes(job):
"""Create array of sample indexes."""
R = job.settings.num_samples
if job.settings.sample_with_replacement:
if job.settings.sample_from_residuals:
logging.debug("Bootstrapping using samples constructed from " +
"residuals, not using groups")
layout = [ sorted(job.schema.sample_name_index.values()) ]
else:
logging.debug("Bootstrapping raw values, within groups defined by" +
"'" + str(job.settings.block_variables) + "'")
layout = job.block_layout
return random_indexes(layout, R)
else:
logging.debug("Creating max of {0} random permutations".format(R))
logging.debug("Condition layout is " + str(job.condition_layout))
logging.debug("Block layout is " + str(job.block_layout))
return list(random_orderings(job.condition_layout, job.block_layout, R))
def new_sample_indexes(job):
"""Create array of sample indexes."""
R = job.settings.num_samples
if job.settings.sample_with_replacement:
if job.settings.sample_from_residuals:
logging.debug("Bootstrapping using samples constructed from " +
"residuals, not using groups")
layout = [sorted(job.schema.sample_name_index.values())]
else:
logging.debug(
"Bootstrapping raw values, within groups defined by" + "'" +
str(job.settings.block_variables) + "'")
layout = job.block_layout
return random_indexes(layout, R)
else:
logging.debug("Creating max of {0} random permutations".format(R))
logging.debug("Condition layout is " + str(job.condition_layout))
logging.debug("Block layout is " + str(job.block_layout))
return list(random_orderings(job.condition_layout, job.block_layout,
R))
