Update lshmm requirement to 0.0.5

Also update changed parameter names

python/requirements/CI-complete/requirements.txt

@@ -6,7 +6,7 @@ flake8==5.0.4
 h5py==3.7.0
 jsonschema==4.16.0
 kastore==0.3.2
-lshmm==0.0.4
+lshmm==0.0.5
 msgpack==1.0.4
 msprime==1.2.0
 networkx==2.6.3 # Held at 2.6.3 for Python 3.7 compatibility

python/requirements/CI-tests-pip/requirements.txt

@@ -1,4 +1,4 @@
-lshmm==0.0.4
+lshmm==0.0.5
 numpy==1.21.6; python_version < '3.11' # Held at 1.21.6 for Python 3.7 compatibility
 numpy==1.24.1; python_version > '3.10'
 pytest==7.1.3
@@ -12,4 +12,4 @@ dendropy==4.5.2
 networkx==2.6.3 # Held at 2.6.3 for Python 3.7 compatibility
 msgpack==1.0.4
 newick==1.3.2
-tszip==0.2.2
+tszip==0.2.2

python/requirements/development.txt

@@ -10,7 +10,7 @@ h5py>=2.6.0
 jsonschema>=3.0.0
 jupyter-book>=0.12.1
 kastore
-lshmm
+lshmm>=0.0.5
 matplotlib
 meson>=0.61.0
 msgpack>=1.0.0

python/tests/test_haplotype_matching.py

@@ -928,7 +928,7 @@ def verify(self, ts):
                 np.flip(H, axis=0),
                 np.flip(s, axis=1),
                 r_flip,
-                mutation_rate=np.flip(mu),
+                p_mutation=np.flip(mu),
                 scale_mutation_based_on_n_alleles=False,
             )
 
@@ -952,7 +952,7 @@ def verify(self, ts):
                         H,
                         s,
                         r,
-                        mutation_rate=mu,
+                        p_mutation=mu,
                         scale_mutation_based_on_n_alleles=scale_mutation,
                     )
                 # Note, need to remove the first sample from the ts, and ensure
@@ -977,14 +977,14 @@ class TestForwardBackwardTree(FBAlgorithmBase):
     def verify(self, ts):
         for n, H, s, r, mu in self.example_parameters_haplotypes(ts):
             F, c, ll = ls.forwards(
-                H, s, r, mutation_rate=mu, scale_mutation_based_on_n_alleles=False
+                H, s, r, p_mutation=mu, scale_mutation_based_on_n_alleles=False
             )
             B = ls.backwards(
                 H,
                 s,
                 c,
                 r,
-                mutation_rate=mu,
+                p_mutation=mu,
                 scale_mutation_based_on_n_alleles=False,
             )
 
@@ -1017,7 +1017,7 @@ class TestTreeViterbiHap(VitAlgorithmBase):
     def verify(self, ts):
         for n, H, s, r, mu in self.example_parameters_haplotypes(ts):
             path, ll = ls.viterbi(
-                H, s, r, mutation_rate=mu, scale_mutation_based_on_n_alleles=False
+                H, s, r, p_mutation=mu, scale_mutation_based_on_n_alleles=False
             )
             ts_check = ts.simplify(range(1, n + 1), filter_sites=False)
             cm = ls_viterbi_tree(s[0, :], ts_check, r, mu)
@@ -1032,7 +1032,7 @@ def verify(self, ts):
                 s,
                 path_tree,
                 r,
-                mutation_rate=mu,
+                p_mutation=mu,
                 scale_mutation_based_on_n_alleles=False,
             )
             self.assertAllClose(ll, ll_check)
@@ -1055,7 +1055,7 @@ def check_viterbi(ts, h, recombination=None, mutation=None):
         G,
         h.reshape(1, m),
         recombination,
-        mutation_rate=mutation,
+        p_mutation=mutation,
         scale_mutation_based_on_n_alleles=False,
     )
     assert np.isscalar(ll)
@@ -1073,7 +1073,7 @@ def check_viterbi(ts, h, recombination=None, mutation=None):
         h.reshape(1, m),
         path_tree,
         recombination,
-        mutation_rate=mutation,
+        p_mutation=mutation,
         scale_mutation_based_on_n_alleles=False,
     )
     nt.assert_allclose(ll_check, ll)
@@ -1109,7 +1109,7 @@ def check_forward_matrix(ts, h, recombination=None, mutation=None):
         G,
         h.reshape(1, m),
         recombination,
-        mutation_rate=mutation,
+        p_mutation=mutation,
         scale_mutation_based_on_n_alleles=False,
     )
     assert F.shape == (m, n)
@@ -1154,7 +1154,7 @@ def check_backward_matrix(ts, h, forward_cm, recombination=None, mutation=None):
         h.reshape(1, m),
         forward_cm.normalisation_factor,
         recombination,
-        mutation_rate=mutation,
+        p_mutation=mutation,
         scale_mutation_based_on_n_alleles=False,
     )