def _load_legacy_hdf5_v3(root, remove_duplicate_positions):
# get the trees group for the records and samples
trees_group = root["trees"]
nodes_group = trees_group["nodes"]
time = np.array(nodes_group["time"])
breakpoints = np.array(trees_group["breakpoints"])
records_group = trees_group["records"]
left_indexes = np.array(records_group["left"])
right_indexes = np.array(records_group["right"])
record_node = np.array(records_group["node"], dtype=np.int32)
num_nodes = time.shape[0]
sample_size = np.min(record_node)
flags = np.zeros(num_nodes, dtype=np.uint32)
flags[:sample_size] = msprime.NODE_IS_SAMPLE
children_length = np.array(records_group["num_children"], dtype=np.uint32)
total_rows = np.sum(children_length)
left = np.zeros(total_rows, dtype=np.float64)
right = np.zeros(total_rows, dtype=np.float64)
parent = np.zeros(total_rows, dtype=np.int32)
record_left = breakpoints[left_indexes]
record_right = breakpoints[right_indexes]
k = 0
for j in range(left_indexes.shape[0]):
for _ in range(children_length[j]):
left[k] = record_left[j]
right[k] = record_right[j]
parent[k] = record_node[j]
k += 1
nodes = msprime.NodeTable()
nodes.set_columns(flags=flags,
time=nodes_group["time"],
population=nodes_group["population"])
edges = msprime.EdgeTable()
edges.set_columns(left=left,
right=right,
parent=parent,
child=records_group["children"])
sites = msprime.SiteTable()
mutations = msprime.MutationTable()
if "mutations" in root:
_convert_hdf5_mutations(root["mutations"], sites, mutations,
remove_duplicate_positions)
old_timestamp = datetime.datetime.min.isoformat()
provenances = msprime.ProvenanceTable()
if "provenance" in root:
for record in root["provenance"]:
provenances.add_row(timestamp=old_timestamp, record=record)
provenances.add_row(_get_upgrade_provenance(root))
msprime.sort_tables(nodes=nodes,
edges=edges,
sites=sites,
mutations=mutations)
return msprime.load_tables(nodes=nodes,
edges=edges,
sites=sites,
mutations=mutations,
provenances=provenances)
def provenance_timestamp_only_example():
ts = msprime.simulate(10, random_seed=1)
tables = ts.dump_tables()
provenances = msprime.ProvenanceTable()
provenances.add_row(timestamp="12345", record="")
return msprime.load_tables(nodes=tables.nodes,
edges=tables.edges,
provenances=provenances)
def run(self, ngens):
nodes = msprime.NodeTable()
edges = msprime.EdgeTable()
migrations = msprime.MigrationTable()
sites = msprime.SiteTable()
mutations = msprime.MutationTable()
provenances = msprime.ProvenanceTable()
if self.deep_history:
# initial population
init_ts = msprime.simulate(self.N, recombination_rate=1.0)
init_ts.dump_tables(nodes=nodes, edges=edges)
nodes.set_columns(time=nodes.time + ngens, flags=nodes.flags)
else:
for _ in range(self.N):
nodes.add_row(time=ngens)
pop = list(range(self.N))
for t in range(ngens - 1, -1, -1):
if self.debug:
print("t:", t)
print("pop:", pop)
dead = [random.random() > self.survival for k in pop]
# sample these first so that all parents are from the previous gen
new_parents = [(random.choice(pop), random.choice(pop))
for k in range(sum(dead))]
k = 0
if self.debug:
print("Replacing", sum(dead), "individuals.")
for j in range(self.N):
if dead[j]:
# this is: offspring ID, lparent, rparent, breakpoint
offspring = nodes.num_rows
nodes.add_row(time=t)
lparent, rparent = new_parents[k]
k += 1
bp = self.random_breakpoint()
if self.debug:
print("--->", offspring, lparent, rparent, bp)
pop[j] = offspring
if bp > 0.0:
edges.add_row(left=0.0,
right=bp,
parent=lparent,
child=offspring)
if bp < 1.0:
edges.add_row(left=bp,
right=1.0,
parent=rparent,
child=offspring)
if self.debug:
print("Done! Final pop:")
print(pop)
flags = [(msprime.NODE_IS_SAMPLE if u in pop else 0)
for u in range(nodes.num_rows)]
nodes.set_columns(time=nodes.time, flags=flags)
if self.debug:
print("Done.")
print("Nodes:")
print(nodes)
print("Edges:")
print(edges)
return msprime.TableCollection(nodes, edges, migrations, sites,
mutations, provenances)
def _load_legacy_hdf5_v2(root, remove_duplicate_positions):
# Get the coalescence records
trees_group = root["trees"]
old_timestamp = datetime.datetime.min.isoformat()
provenances = msprime.ProvenanceTable()
provenances.add_row(timestamp=old_timestamp,
record=_get_v2_provenance("generate_trees",
trees_group.attrs))
num_rows = trees_group["node"].shape[0]
index = np.arange(num_rows, dtype=int)
parent = np.zeros(2 * num_rows, dtype=np.int32)
parent[2 * index] = trees_group["node"]
parent[2 * index + 1] = trees_group["node"]
left = np.zeros(2 * num_rows, dtype=np.float64)
left[2 * index] = trees_group["left"]
left[2 * index + 1] = trees_group["left"]
right = np.zeros(2 * num_rows, dtype=np.float64)
right[2 * index] = trees_group["right"]
right[2 * index + 1] = trees_group["right"]
child = np.array(trees_group["children"], dtype=np.int32).flatten()
edges = msprime.EdgeTable()
edges.set_columns(left=left, right=right, parent=parent, child=child)
cr_node = np.array(trees_group["node"], dtype=np.int32)
num_nodes = max(np.max(child), np.max(cr_node)) + 1
sample_size = np.min(cr_node)
flags = np.zeros(num_nodes, dtype=np.uint32)
population = np.zeros(num_nodes, dtype=np.int32)
time = np.zeros(num_nodes, dtype=np.float64)
flags[:sample_size] = msprime.NODE_IS_SAMPLE
cr_population = np.array(trees_group["population"], dtype=np.int32)
cr_time = np.array(trees_group["time"])
time[cr_node] = cr_time
population[cr_node] = cr_population
if "samples" in root:
samples_group = root["samples"]
population[:sample_size] = samples_group["population"]
if "time" in samples_group:
time[:sample_size] = samples_group["time"]
nodes = msprime.NodeTable()
nodes.set_columns(flags=flags, population=population, time=time)
sites = msprime.SiteTable()
mutations = msprime.MutationTable()
if "mutations" in root:
mutations_group = root["mutations"]
_convert_hdf5_mutations(mutations_group, sites, mutations,
remove_duplicate_positions)
provenances.add_row(timestamp=old_timestamp,
record=_get_v2_provenance("generate_mutations",
mutations_group.attrs))
provenances.add_row(_get_upgrade_provenance(root))
msprime.sort_tables(nodes=nodes,
edges=edges,
sites=sites,
mutations=mutations)
return msprime.load_tables(nodes=nodes,
edges=edges,
sites=sites,
mutations=mutations,
provenances=provenances)
def _load_legacy_hdf5_v10(root, remove_duplicate_positions=False):
# We cannot have duplicate positions in v10, so this parameter is ignored
nodes_group = root["nodes"]
nodes = msprime.NodeTable()
metadata = None
metadata_offset = None
if "metadata" in nodes_group:
metadata = nodes_group["metadata"]
metadata_offset = nodes_group["metadata_offset"]
nodes.set_columns(flags=nodes_group["flags"],
population=nodes_group["population"],
time=nodes_group["time"],
metadata=metadata,
metadata_offset=metadata_offset)
edges_group = root["edges"]
edges = msprime.EdgeTable()
edges.set_columns(left=edges_group["left"],
right=edges_group["right"],
parent=edges_group["parent"],
child=edges_group["child"])
migrations_group = root["migrations"]
migrations = msprime.MigrationTable()
if "left" in migrations_group:
migrations.set_columns(left=migrations_group["left"],
right=migrations_group["right"],
node=migrations_group["node"],
source=migrations_group["source"],
dest=migrations_group["dest"],
time=migrations_group["time"])
sites_group = root["sites"]
sites = msprime.SiteTable()
if "position" in sites_group:
metadata = None
metadata_offset = None
if "metadata" in sites_group:
metadata = sites_group["metadata"]
metadata_offset = sites_group["metadata_offset"]
sites.set_columns(
position=sites_group["position"],
ancestral_state=sites_group["ancestral_state"],
ancestral_state_offset=sites_group["ancestral_state_offset"],
metadata=metadata,
metadata_offset=metadata_offset)
mutations_group = root["mutations"]
mutations = msprime.MutationTable()
if "site" in mutations_group:
metadata = None
metadata_offset = None
if "metadata" in mutations_group:
metadata = mutations_group["metadata"]
metadata_offset = mutations_group["metadata_offset"]
mutations.set_columns(
site=mutations_group["site"],
node=mutations_group["node"],
parent=mutations_group["parent"],
derived_state=mutations_group["derived_state"],
derived_state_offset=mutations_group["derived_state_offset"],
metadata=metadata,
metadata_offset=metadata_offset)
provenances_group = root["provenances"]
provenances = msprime.ProvenanceTable()
if "timestamp" in provenances_group:
timestamp = provenances_group["timestamp"]
timestamp_offset = provenances_group["timestamp_offset"]
if "record" in provenances_group:
record = provenances_group["record"]
record_offset = provenances_group["record_offset"]
else:
record = np.empty_like(timestamp)
record_offset = np.zeros_like(timestamp_offset)
provenances.set_columns(timestamp=timestamp,
timestamp_offset=timestamp_offset,
record=record,
record_offset=record_offset)
provenances.add_row(_get_upgrade_provenance(root))
return msprime.load_tables(nodes=nodes,
edges=edges,
migrations=migrations,
sites=sites,
mutations=mutations,
provenances=provenances)
