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time windows in statistics #2948

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time windows in statistics #2948

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aeda4dc
example test for time windows
petrelharp May 9, 2024
0a30696
a little more flailing at beginning tests
petrelharp May 17, 2024
1a988c0
first simple test for AFS in branch mode with time windows
tforest Jun 18, 2024
18ffda0
AFS non-naive version with time windows + Some tests
tforest Jul 15, 2024
c6f9562
Improve AFS branch mode
tforest Jul 18, 2024
7a3149f
fix AFS tests
tforest Jul 18, 2024
71da7ad
Fix naive branch general stat
tforest Jul 22, 2024
2a44909
intermediate changes to C AFS implementation with time windows
tforest Aug 23, 2024
4460db9
tw afs C implementation
tforest Sep 23, 2024
bbec6a9
Better dimension drop with time windows
tforest Oct 11, 2024
da5f205
AFS branch mode with time windows to review
tforest Oct 21, 2024
6b3ab4f
Adapting some tests with new time_windows parameter
tforest Oct 30, 2024
f2d857b
time_windows addition after code rebase
tforest Oct 30, 2024
b8f4ba5
Fix some tests failing because of time_windows
tforest Oct 31, 2024
c9f6c06
Remove unused parameters in afs function
tforest Oct 31, 2024
59ea266
Fixing a memory issue in tsk_treeseq_update_branch_afs
tforest Oct 31, 2024
96ac0ce
Fixing some time_windows issues with AFS
tforest Nov 19, 2024
26a7f09
Adjusting some stats tests using time_windows
tforest Nov 19, 2024
8a8c05b
Adjusting some tests trying to pass codecov
tforest Dec 11, 2024
0d48891
Updating naive_branch_... and branch_allele_freq... in tests
tforest Jan 18, 2025
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29 changes: 21 additions & 8 deletions c/tests/test_stats.c
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Original file line number Diff line number Diff line change
Expand Up @@ -869,17 +869,20 @@ verify_one_way_stat_func_errors(tsk_treeseq_t *ts, one_way_sample_stat_method *m
typedef int one_way_sample_stat_method_tw(const tsk_treeseq_t *self,
tsk_size_t num_sample_sets, const tsk_size_t *sample_set_sizes,
const tsk_id_t *sample_sets, tsk_size_t num_windows, const double *windows,
tsk_size_t num_time_windows, const double *time_windows,
tsk_flags_t options, double *result);
tsk_size_t num_time_windows, const double *time_windows, tsk_flags_t options,
double *result);

// Temporary duplicate for time-windows-having methods
static void
verify_one_way_stat_func_errors_tw(tsk_treeseq_t *ts, one_way_sample_stat_method_tw *method)
verify_one_way_stat_func_errors_tw(
tsk_treeseq_t *ts, one_way_sample_stat_method_tw *method)
{
int ret;
tsk_id_t num_nodes = (tsk_id_t) tsk_treeseq_get_num_nodes(ts);
tsk_id_t samples[] = { 0, 1, 2, 3 };
tsk_size_t sample_set_sizes = 4;
double windows[] = { 0, 0, 0 };
double time_windows[] = { 0, 0, 0 };
double result;

ret = method(ts, 0, &sample_set_sizes, samples, 0, NULL, 0, NULL, 0, &result);
Expand Down Expand Up @@ -918,6 +921,15 @@ verify_one_way_stat_func_errors_tw(tsk_treeseq_t *ts, one_way_sample_stat_method

ret = method(ts, 1, &sample_set_sizes, samples, 2, windows, 0, NULL, 0, &result);
CU_ASSERT_EQUAL_FATAL(ret, TSK_ERR_BAD_WINDOWS);

/* Time window errors */
ret = method(
ts, 1, &sample_set_sizes, samples, 0, NULL, 0, time_windows, 0, &result);
CU_ASSERT_EQUAL_FATAL(ret, TSK_ERR_BAD_NUM_WINDOWS);

ret = method(
ts, 1, &sample_set_sizes, samples, 0, NULL, 2, time_windows, 0, &result);
CU_ASSERT_EQUAL_FATAL(ret, TSK_ERR_BAD_WINDOWS);
}

static void
Expand Down Expand Up @@ -1258,23 +1270,24 @@ verify_afs(tsk_treeseq_t *ts)
sample_set_sizes[0] = n - 2;
sample_set_sizes[1] = 2;
ret = tsk_treeseq_allele_frequency_spectrum(
ts, 2, sample_set_sizes, samples, 0, NULL, 0, NULL, 0, result);
ts, 2, sample_set_sizes, samples, 0, NULL, 0, NULL, 0, result);
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uh-oh, are these tabs?

CU_ASSERT_EQUAL_FATAL(ret, 0);

ret = tsk_treeseq_allele_frequency_spectrum(
ts, 2, sample_set_sizes, samples, 0, NULL, 0, NULL, TSK_STAT_POLARISED, result);
ts, 2, sample_set_sizes, samples, 0, NULL, 0, NULL, TSK_STAT_POLARISED, result);
CU_ASSERT_EQUAL_FATAL(ret, 0);

ret = tsk_treeseq_allele_frequency_spectrum(ts, 2, sample_set_sizes, samples, 0,
NULL, 0, NULL, TSK_STAT_POLARISED | TSK_STAT_SPAN_NORMALISE, result);
NULL, 0, NULL, TSK_STAT_POLARISED | TSK_STAT_SPAN_NORMALISE, result);
CU_ASSERT_EQUAL_FATAL(ret, 0);

ret = tsk_treeseq_allele_frequency_spectrum(ts, 2, sample_set_sizes, samples, 0,
NULL, 0, NULL, TSK_STAT_BRANCH | TSK_STAT_POLARISED | TSK_STAT_SPAN_NORMALISE, result);
NULL, 0, NULL, TSK_STAT_BRANCH | TSK_STAT_POLARISED | TSK_STAT_SPAN_NORMALISE,
result);
CU_ASSERT_EQUAL_FATAL(ret, 0);

ret = tsk_treeseq_allele_frequency_spectrum(ts, 2, sample_set_sizes, samples, 0,
NULL, 0, NULL, TSK_STAT_BRANCH | TSK_STAT_SPAN_NORMALISE, result);
NULL, 0, NULL, TSK_STAT_BRANCH | TSK_STAT_SPAN_NORMALISE, result);
CU_ASSERT_EQUAL_FATAL(ret, 0);

free(result);
Expand Down
116 changes: 54 additions & 62 deletions c/tskit/trees.c
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Original file line number Diff line number Diff line change
Expand Up @@ -1233,8 +1233,7 @@
}

static int
tsk_treeseq_check_time_windows(tsk_size_t num_windows,
const double *windows)
tsk_treeseq_check_time_windows(tsk_size_t num_windows, const double *windows)
{
int ret = TSK_ERR_BAD_WINDOWS;
tsk_size_t j;
Expand All @@ -1245,10 +1244,11 @@
}

if (windows[0] < 0) {
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if currently the code assumes this is 0, should check for == here

goto out;
goto out;

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}
if (windows[num_windows] > INFINITY) {
goto out;

if (windows[0] != 0) {
goto out;

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}

for (j = 0; j < num_windows; j++) {
Expand All @@ -1256,7 +1256,7 @@
goto out;
}
}
ret = 0;

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out:
return ret;
}
Expand Down Expand Up @@ -3513,35 +3513,21 @@
return ret;
}

#define MAX(a,b) ((a) > (b) ? (a) : (b))
#define MIN(a,b) ((a) < (b) ? (a) : (b))

/* int getValue_nDimensions( int * baseAddress, int * indexes, int nDimensions ) { */
/* int i; */
/* int offset = 0; */
/* for( i = 0; i < nDimensions; i++ ) { */
/* offset += pow(LEN,i) * indexes[nDimensions - (i + 1)]; */
/* } */

/* return *(baseAddress + offset); */
/* } */

static int TSK_WARN_UNUSED
tsk_treeseq_update_branch_afs(const tsk_treeseq_t *self, tsk_id_t u, double right,
double *restrict last_update,
const double *restrict time, tsk_id_t *restrict parent, const double *time_windows,
const double *counts, tsk_size_t num_sample_sets,
tsk_size_t num_time_windows, tsk_size_t window_index, tsk_size_t time_window_index,
const tsk_size_t *result_dims, tsk_flags_t options, double *result)
double *restrict last_update, const double *restrict time, tsk_id_t *restrict parent,
const double *time_windows, const double *counts, tsk_size_t num_sample_sets,
tsk_size_t num_time_windows, tsk_size_t window_index, const tsk_size_t *result_dims,
tsk_flags_t options, double *result)
{
int ret = 0;
tsk_size_t afs_size;
tsk_size_t k;
tsk_size_t time_window_index;
double *afs;
tsk_size_t *coordinate = tsk_malloc(num_sample_sets * sizeof(*coordinate));
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Gee, wouldn't it be better to malloc this outside this function, and pass it in? (I honestly don't know...)

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HA! IDK, I'll let it there for now, but yeah maybe!

bool polarised = !!(options & TSK_STAT_POLARISED);
const double *count_row = GET_2D_ROW(counts, num_sample_sets + 1, u);
/* double x = (right - last_update[u]) * branch_length[u]; */
double x = 0;
double t_v = 0;
double tw_branch_length = 0;
Expand All @@ -3550,23 +3536,31 @@
ret = TSK_ERR_NO_MEMORY;
goto out;
}
if (parent[u] != -1){
t_v = time[parent[u]];
if (0 < all_samples && all_samples < self->num_samples) {
for (time_window_index = 0; time_window_index < num_time_windows; time_window_index++){
afs_size = result_dims[num_sample_sets];
afs = result + afs_size * (window_index * num_time_windows + time_window_index);
for (k = 0; k < num_sample_sets; k++) {
coordinate[k] = (tsk_size_t) count_row[k];
}
if (!polarised){
fold(coordinate, result_dims, num_sample_sets);
}
tw_branch_length = MIN(time_windows[time_window_index + 1], t_v) - MAX(time_windows[0], time[u]);
x = (right - last_update[u]) * tw_branch_length;
increment_nd_array_value(afs, num_sample_sets, result_dims, coordinate, x);
}
}
if (parent[u] != TSK_NULL) {
t_v = time[parent[u]];
if (0 < all_samples && all_samples < self->num_samples) {
time_window_index = 0;
while (time_window_index < num_time_windows
&& time_windows[time_window_index] < t_v) {
/* for (time_window_index = 0; time_window_index < num_time_windows;
* time_window_index++){ */
afs_size = result_dims[num_sample_sets];
afs = result
+ afs_size * (window_index * num_time_windows + time_window_index);
for (k = 0; k < num_sample_sets; k++) {
coordinate[k] = (tsk_size_t) count_row[k];
}
if (!polarised) {
fold(coordinate, result_dims, num_sample_sets);
}
tw_branch_length = TSK_MIN(time_windows[time_window_index + 1], t_v)
- TSK_MAX(time_windows[0], time[u]);
x = (right - last_update[u]) * tw_branch_length;
increment_nd_array_value(
afs, num_sample_sets, result_dims, coordinate, x);
time_window_index++;
}
}
}
last_update[u] = right;
out:
Expand All @@ -3582,7 +3576,7 @@
{
int ret = 0;
tsk_id_t u, v;
tsk_size_t window_index, time_window_index;
tsk_size_t window_index;
tsk_size_t num_nodes = self->tables->nodes.num_rows;
const tsk_id_t num_edges = (tsk_id_t) self->tables->edges.num_rows;
const tsk_id_t *restrict I = self->tables->indexes.edge_insertion_order;
Expand Down Expand Up @@ -3616,26 +3610,23 @@
tk = 0;
t_left = 0;
window_index = 0;
time_window_index = 0;
while (tj < num_edges || t_left < sequence_length) {
tsk_bug_assert(window_index < num_windows);
while (tk < num_edges && edge_right[O[tk]] == t_left) {
h = O[tk];
tk++;
u = edge_child[h];
v = edge_parent[h];
ret = tsk_treeseq_update_branch_afs(self, u, t_left,
last_update, node_time, parent, time_windows, counts, num_sample_sets,
num_time_windows, window_index, time_window_index,
result_dims, options, result);
ret = tsk_treeseq_update_branch_afs(self, u, t_left, last_update, node_time,
parent, time_windows, counts, num_sample_sets, num_time_windows,
window_index, result_dims, options, result);
if (ret != 0) {
goto out;
}
while (v != TSK_NULL) {
ret = tsk_treeseq_update_branch_afs(self, v, t_left,
last_update, node_time, parent, time_windows, counts,
num_sample_sets, num_time_windows, window_index,
time_window_index, result_dims, options, result);
ret = tsk_treeseq_update_branch_afs(self, v, t_left, last_update,
node_time, parent, time_windows, counts, num_sample_sets,
num_time_windows, window_index, result_dims, options, result);
if (ret != 0) {
goto out;
}
Expand All @@ -3654,10 +3645,9 @@
parent[u] = v;
branch_length[u] = node_time[v] - node_time[u];
while (v != TSK_NULL) {
ret = tsk_treeseq_update_branch_afs(self, v, t_left,
last_update, node_time, parent, time_windows, counts,
num_sample_sets, num_time_windows, window_index,
time_window_index, result_dims, options, result);
ret = tsk_treeseq_update_branch_afs(self, v, t_left, last_update,
node_time, parent, time_windows, counts, num_sample_sets,
num_time_windows, window_index, result_dims, options, result);
if (ret != 0) {
goto out;
}
Expand All @@ -3679,10 +3669,9 @@
/* Flush the contributions of all nodes to the current window */
for (u = 0; u < (tsk_id_t) num_nodes; u++) {
tsk_bug_assert(last_update[u] < w_right);
ret = tsk_treeseq_update_branch_afs(self, u, w_right,
last_update, node_time, parent, time_windows, counts,
num_sample_sets, num_time_windows, window_index,
time_window_index, result_dims, options, result);
ret = tsk_treeseq_update_branch_afs(self, u, w_right, last_update,
node_time, parent, time_windows, counts, num_sample_sets,
num_time_windows, window_index, result_dims, options, result);
if (ret != 0) {
goto out;
}
Expand Down Expand Up @@ -3755,8 +3744,12 @@
num_time_windows = 1;
time_windows = default_time_windows;
} else {
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After this line is probably the right place to check if it's mode="site" and throw an error?

ret = tsk_treeseq_check_time_windows(
num_time_windows, time_windows);
if (stat_site
&& tsk_memcmp(time_windows, default_time_windows, sizeof(double)) != 0) {
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Hm, this is a bit awkward - what if instead we used num_time_windows=0 to mean "default/no time windows"?

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@tforest tforest Nov 21, 2024 •
edited
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But time_windows are always initialized by default as [0, inf], so num_time_windows=2, comparing to the default was the clearest I found for now. But maybe the problem lies in the initialization caused by the parsing of the windows in the first place.

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Oh, wait - we're already in the else clause where we know that time_windows != NULL. So I don't think we need to check this at all - just throw the error?

Suggested change
&& tsk_memcmp(time_windows, default_time_windows, sizeof(double)) != 0) {
) {

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So, if someone explicitly specifies time_windows = [0, np.inf], mode="node" then they'll get the error, but that's okay - the error message says "you can't specify time windows", not "time windows must be [0, Inf)" (I think that's what it says anyhow).

ret = TSK_ERR_UNSUPPORTED_STAT_MODE;
goto out;

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}
ret = tsk_treeseq_check_time_windows(num_time_windows, time_windows);
if (ret != 0) {
goto out;
}
Expand Down Expand Up @@ -3796,7 +3789,6 @@
count_row[num_sample_sets] = 1;
}
result_dims[num_sample_sets] = (tsk_size_t) afs_size;
// Initiate memory for result array
tsk_memset(result, 0, num_windows * num_time_windows * afs_size * sizeof(*result));

if (stat_site) {
Expand Down
15 changes: 7 additions & 8 deletions python/_tskitmodule.c
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Original file line number Diff line number Diff line change
Expand Up @@ -9077,7 +9077,7 @@
npy_intp *shape;

windows_array = (PyArrayObject *) PyArray_FROMANY(
windows, NPY_FLOAT64, 1, 1, NPY_ARRAY_IN_ARRAY);
windows, NPY_FLOAT64, 1, 1, NPY_ARRAY_IN_ARRAY);
if (windows_array == NULL) {
goto out;
}
Expand All @@ -9095,7 +9095,6 @@
return ret;
}


static PyArrayObject *
TreeSequence_allocate_results_array(
TreeSequence *self, tsk_flags_t mode, tsk_size_t num_windows, tsk_size_t output_dim)
Expand Down Expand Up @@ -9440,13 +9439,13 @@
TreeSequence *self, PyObject *args, PyObject *kwds)
{
PyObject *ret = NULL;
static char *kwlist[] = { "sample_set_sizes", "sample_sets", "windows", "time_windows", "mode",
"span_normalise", "polarised", NULL };
static char *kwlist[] = { "sample_set_sizes", "sample_sets", "windows",
"time_windows", "mode", "span_normalise", "polarised", NULL };
PyObject *sample_set_sizes = NULL;
PyObject *sample_sets = NULL;
PyObject *windows = NULL;
PyObject *time_windows = NULL;
char *mode = "NULL";
char *mode = NULL;
PyArrayObject *sample_set_sizes_array = NULL;
PyArrayObject *sample_sets_array = NULL;
PyArrayObject *windows_array = NULL;
Expand All @@ -9463,7 +9462,7 @@
goto out;
}
if (!PyArg_ParseTupleAndKeywords(args, kwds, "OOOO|sii", kwlist, &sample_set_sizes,
&sample_sets, &windows, &time_windows, &mode, &span_normalise, &polarised)) {
&sample_sets, &windows, &time_windows, &mode, &span_normalise, &polarised)) {
goto out;
}
if (parse_stats_mode(mode, &options) != 0) {
Expand All @@ -9484,7 +9483,7 @@
goto out;
}
if (parse_windows(time_windows, &time_windows_array, &num_time_windows) != 0) {
goto out;

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}
shape = PyMem_Malloc((num_sample_sets + 1 + 1) * sizeof(*shape));
if (shape == NULL) {
Expand All @@ -9496,8 +9495,8 @@
for (k = 0; k < num_sample_sets; k++) {
shape[k + 1 + 1] = 1 + sizes[k];
}
result_array
= (PyArrayObject *) PyArray_SimpleNew(1 + 1 + num_sample_sets, shape, NPY_FLOAT64);
result_array = (PyArrayObject *) PyArray_SimpleNew(
1 + 1 + num_sample_sets, shape, NPY_FLOAT64);
if (result_array == NULL) {
goto out;
}
Expand Down
2 changes: 1 addition & 1 deletion python/tests/test_lowlevel.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2263,7 +2263,7 @@ def test_output_dims(self):
n = len(samples)
time_windows = [0, np.inf]
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we should be testing with more than one time window as well here, probably - adding another for to the loops below will make a lot of combinations, but only a factor of 2 more? (with 1 windows and then with 2 windows, maybe)


for mode in ["site", "branch"]:
for mode in ["branch"]:
for s in [[n], [n - 2, 2], [n - 4, 2, 2], [1] * n]:
s = np.array(s, dtype=np.uint32)
windows = [0, L]
Expand Down
7 changes: 3 additions & 4 deletions python/tskit/trees.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7637,7 +7637,6 @@
# Note: need to make sure windows is a string or we try to compare the
# target with a numpy array elementwise.
if windows is None:
# initiate default spanning windows
windows = [0.0, self.sequence_length]
elif isinstance(windows, str):
if windows == "trees":
Expand Down Expand Up @@ -7684,6 +7683,8 @@
stat = stat[0, :, :]
elif strip_timewin:
stat = stat[:, 0, :]
elif strip_win and strip_timewin:
stat = stat[0, 0, :]

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return stat

def __one_way_sample_set_stat(
Expand Down Expand Up @@ -7747,7 +7748,7 @@
polarised=False,
):
if sample_sets is None:
sample_sets = self.samples()

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# First try to convert to a 1D numpy array. If it is, then we strip off
# the corresponding dimension from the output.
Expand All @@ -7760,14 +7761,14 @@
# If we've successfully converted sample_sets to a 1D numpy array
# of integers then drop the dimension
if len(sample_sets.shape) == 1:
sample_sets = [sample_sets]
drop_dimension = True

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sample_set_sizes = np.array(
[len(sample_set) for sample_set in sample_sets], dtype=np.uint32
)
if np.any(sample_set_sizes == 0):
raise ValueError("Sample sets must contain at least one element")

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flattened = util.safe_np_int_cast(np.hstack(sample_sets), np.int32)
stat = self.__run_windowed_stat_tw(
Expand All @@ -7781,12 +7782,10 @@
polarised=polarised,
)
if drop_dimension:
stat = stat.reshape(stat.shape[:-1])

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# TODO: Write test for this
if (stat.shape == () and windows is None) or (
stat.shape == () and time_windows is None
):
if stat.shape == () and windows is None and time_windows is None:
stat = stat[()]

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return stat

def parse_sites(self, sites):
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