Moved cosmopower default parameters to yaml files.

soliket/CosmoPower.yaml

@@ -0,0 +1,22 @@
+stop_at_error: False
+
+# A path to the directory where cosmopower networks are stored (can be either relative or absolute).
+network_path: soliket/data/CosmoPower/CP_paper/CMB
+
+# A dictionary of all networks and their settings.
+network_settings:
+
+# Optional extra arguments for the theory code.
+extra_args:
+  # An lmax cut for all networks.
+  lmax: null
+
+# A dictionary to rename parameters.
+# (e.g. if you are sampling on "ombh2" but your network takes "omega_b" as an input,
+#       the line "ombh2: omega_b" will translate that parameter for you.)
+renames:
+  ombh2: omega_b
+  omch2: omega_cdm
+  logA: ln10^{10}A_s
+  ns: n_s
+  tau: tau_reio

soliket/CosmoPowerDerived.yaml

@@ -0,0 +1,26 @@
+stop_at_error: False
+
+# A path to the directory where cosmopower networks are stored (can be either relative or absolute).
+network_path: soliket/data/CosmoPower/CP_paper/CMB
+
+# A dictionary of settings for this network.
+network_settings:
+  type: NN   # Either NN or PCAplusNN, depending on the network type
+  log: false # Set this to true if this network calculates log(X) for all parameters X.
+
+# Optional extra arguments for the theory code.
+extra_args:
+  # (Currently, no extra arguments exist yet for the derived network).
+
+# A list of all names for the derived parameters of this network.
+derived_parameters: []
+
+# A dictionary to rename parameters.
+# (e.g. if you are sampling on "ombh2" but your network takes "omega_b" as an input,
+#       the line "ombh2: omega_b" will translate that parameter for you.)
+renames:
+  ombh2: omega_b
+  omch2: omega_cdm
+  logA: ln10^{10}A_s
+  ns: n_s
+  tau: tau_reio

soliket/cosmopower.py

@@ -45,13 +45,6 @@
 class CosmoPower(BoltzmannBase):
     """A CosmoPower Network wrapper for Cobaya."""
 
-    stop_at_error: bool = False
-
-    network_path: str = "soliket/data/CosmoPower/CP_paper/CMB"
-    network_settings: InfoDict = None
-
-    extra_args: InfoDict = None
-
     def initialize(self) -> None:
         super().initialize()
 
@@ -238,17 +231,6 @@ def get_requirements(self) -> Iterable[Tuple[str, str]]:
 
 class CosmoPowerDerived(Theory):
     """A theory class that can calculate derived parameters from CosmoPower networks."""
-    stop_at_error: bool = False
-
-    network_path: str = "soliket/data/CosmoPower/CP_paper/CMB"
-    network_settings: InfoDict = None
-
-    derived_parameters: Iterable[str]
-    derived_values: Dict
-
-    extra_args: InfoDict = None
-
-    renames: Dict = {}
 
     def initialize(self) -> None:
         super().initialize()