refactor: use flatter import

src/psimpy/inference/active_learning.py

-import numpy as np
 import sys
+import numpy as np
 from scipy import optimize
 from typing import Union
 from beartype.typing import Callable
 from beartype import beartype
-from psimpy.simulator.run_simulator import RunSimulator
-from psimpy.sampler.latin import LHS
-from psimpy.emulator.robustgasp import ScalarGaSP
-from psimpy.utility.util_funcs import check_bounds
+from psimpy.simulator import RunSimulator
+from psimpy.sampler import LHS
+from psimpy.emulator import ScalarGaSP
+from psimpy.utility import check_bounds
 
 _min_float = 10**(sys.float_info.min_10_exp)
 

src/psimpy/inference/bayes_inference.py

-import numpy as np
 import sys
+import numpy as np
 from abc import ABC
 from abc import abstractmethod
-from psimpy.sampler.metropolis_hastings import MetropolisHastings
-from psimpy.utility.util_funcs import check_bounds
 from typing import Union
 from beartype.typing import Callable
 from beartype import beartype
+from psimpy.sampler import MetropolisHastings
+from psimpy.utility import check_bounds
 
 _min_float = 10**(sys.float_info.min_10_exp)
 _max_float = 10**(sys.float_info.max_10_exp)

src/psimpy/sampler/latin.py

 import numpy as np
 from scipy.spatial.distance import pdist
-from psimpy.utility.util_funcs import check_bounds, scale_samples
 from typing import Union
 from beartype import beartype
+from psimpy.utility import check_bounds, scale_samples
 
 class LHS:
     

src/psimpy/sampler/metropolis_hastings.py

-import numpy as np
 import sys
-from psimpy.utility.util_funcs import check_bounds
+import numpy as np
 from typing import Union
 from beartype.typing import Callable
 from beartype import beartype
+from psimpy.utility import check_bounds
 
 _min_float = 10**(sys.float_info.min_10_exp)
 

src/psimpy/sampler/saltelli.py

 from SALib.sample import saltelli
 import numpy as np
-from psimpy.utility.util_funcs import check_bounds
 from typing import Union
 from beartype import beartype
+from psimpy.utility import check_bounds
 
 class Saltelli:
     

src/psimpy/simulator/mass_point_model.py

-import numpy as np
-import linecache
+import os
 import math
+import linecache
+import numpy as np
 from scipy.integrate import ode
 from scipy.interpolate import interp2d
-import os
 from typing import Union
 from beartype import beartype
 

src/psimpy/simulator/ravaflow24.py

-import numpy as np
 import os
 import linecache
+import numpy as np
 from scipy.interpolate import interp2d
 from typing import Union
 from beartype import beartype