Merge branch 'devel' into orbital_optimization

requirements.txt

@@ -20,7 +20,6 @@ qulacs # default simulator (best integration), remove if the installation gives
 #qibo <= 0.1.1 # can not be installed in the same environment as gpyopt
 
 #optional optimizers
-#phoenics # version on PyPi  isc urrently broken, we recommend to install from source (AAG github)
 #gpyopt # not in combination with qibo as quantum backend
 
 #optional third party libraries

src/tequila/apps/adapt/adapt.py

@@ -21,7 +21,7 @@ class AdaptParameters:
     degeneracy_threshold: float = 5.e-4
     silent: bool = False
 
-    def __post__init__(self):
+    def __post_init__(self):
         # avoid stacking of same operator-types in a row
         if "method_options" in self.optimizer_args:
             if "gtol" in self.optimizer_args["method_options"]:

src/tequila/optimizers/__init__.py

@@ -16,7 +16,7 @@ class _Optimizers:
     methods: list = None
 
 
-SUPPORTED_OPTIMIZERS = ['scipy', 'phoenics', 'gpyopt', 'gd']
+SUPPORTED_OPTIMIZERS = ['scipy', 'gpyopt', 'gd']
 INSTALLED_OPTIMIZERS = {}
 INSTALLED_OPTIMIZERS['scipy'] = _Optimizers(cls=OptimizerSciPy,
                                             minimize=minimize_scipy,
@@ -37,19 +37,6 @@ class _Optimizers:
 except ImportError:
     has_gpyopt = False
 
-has_phoenics = False
-try:
-    from tequila.optimizers.optimizer_phoenics import OptimizerPhoenics
-    from tequila.optimizers.optimizer_phoenics import minimize as minimize_phoenics
-
-    INSTALLED_OPTIMIZERS['phoenics'] = _Optimizers(cls=OptimizerPhoenics,
-                                                   minimize=minimize_phoenics,
-                                                   methods=OptimizerPhoenics.available_methods())
-    has_phoenics = True
-except ImportError:
-    has_phoenics = False
-
-
 def show_available_optimizers(module=None):
     """
     Returns

src/tequila/optimizers/optimizer_gpyopt.py

@@ -4,8 +4,6 @@
 import numbers
 from tequila.objective.objective import Variable
 import warnings
-
-warnings.simplefilter("ignore")
 import GPyOpt
 from GPyOpt.methods import BayesianOptimization
 import numpy as np