[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

src/py21cmmc/core.py

@@ -99,7 +99,6 @@ def __eq__(self, other):
         args = tuple(set(args))
 
         for arg in args + self._extra_defining_attributes:
-
             if arg == "self" or arg in self._ignore_attributes:
                 continue
 
@@ -669,7 +668,6 @@ def convert_model_to_mock(self, ctx):
             try:
                 lfunc[i] += np.random.normal(loc=0, scale=s(muv), size=len(lfunc[i]))
             except TypeError:
-
                 lfunc[i] += np.random.normal(loc=0, scale=s, size=len(lfunc[i]))
 
 
@@ -941,7 +939,6 @@ def __init__(
         global_params=None,
         **io_options,
     ):
-
         super().__init__(io_options.get("store", None))
 
         if not use_21cmfast:

src/py21cmmc/cosmoHammer.py

@@ -454,7 +454,6 @@ def get_last_sample(self):
         return tuple(last)
 
     def _check(self, coords, log_prob, blobs, accepted):
-
         self._check_blobs(blobs[0])
         nwalkers, ndim = self.shape
 

src/py21cmmc/likelihood.py

@@ -1018,7 +1018,6 @@ def reduce_data(self, ctx):
         # Extract relevant info from the context.
 
         if self._is_lightcone:
-
             lc = ctx.get("lightcone")
 
             redshifts = lc.node_redshifts
@@ -1248,7 +1247,6 @@ def computeLikelihood(self, model):
             nf_qso = redshifts.index(self.qso_redshift)
 
         elif len(redshifts) > 2:
-
             # Check the redshift range input by the user to determine whether to
             # interpolate or extrapolate the IGM neutral fraction to the QSO redshift
             if self.qso_redshift < np.min(redshifts):

tests/test_mcmc.py

@@ -549,7 +549,6 @@ def test_planckpowerspectra(lc_core, default_params, tmpdirec):
 
 
 def test_forest(lc_core_lowz, lc_core_lowz_ctx):
-
     lk = mcmc.LikelihoodForest(name="z5pt4")
 
     with pytest.raises(mcmc.NotAChain):

tests/test_multinest.py

@@ -93,7 +93,6 @@ def test_multinest_samples(astro_params, prior):
 
 
 def test_multinest():
-
     model_name = "LuminosityLikelihood"
     redshifts = [6, 7, 8, 10]
     F_STAR10 = [-1.3, -3, 0, 1.0]

tests/test_zeus.py

@@ -6,7 +6,6 @@
 
 
 def test_zeus():
-
     core = p21mc.CoreCoevalModule(
         redshift=[7, 8, 9],
         user_params=dict(HII_DIM=50, BOX_LEN=125.0),