MAINT: use glasflow.nflows instead of nflows

bilby/bilby_mcmc/flows.py

 import torch
-from nflows.distributions.normal import StandardNormal
-from nflows.flows.base import Flow
-from nflows.nn import nets as nets
-from nflows.transforms import (
+from glasflow.nflows.distributions.normal import StandardNormal
+from glasflow.nflows.flows.base import Flow
+from glasflow.nflows.nn import nets as nets
+from glasflow.nflows.transforms import (
     CompositeTransform,
     MaskedAffineAutoregressiveTransform,
     RandomPermutation,
 )
-from nflows.transforms.coupling import (
+from glasflow.nflows.transforms.coupling import (
     AdditiveCouplingTransform,
     AffineCouplingTransform,
 )
-from nflows.transforms.normalization import BatchNorm
+from glasflow.nflows.transforms.normalization import BatchNorm
 from torch.nn import functional as F
 
 # Turn off parallelism

bilby/bilby_mcmc/proposals.py

@@ -754,10 +754,10 @@ class NormalizingFlowProposal(DensityEstimateProposal):
 
     @staticmethod
     def check_dependencies(warn=True):
-        if importlib.util.find_spec("nflows") is None:
+        if importlib.util.find_spec("glasflow") is None:
             if warn:
                 logger.warning(
-                    "Unable to utilise NormalizingFlowProposal as nflows is not installed"
+                    "Unable to utilise NormalizingFlowProposal as glasflow is not installed"
                 )
             return False
         else: