Use of deprecated np.float

from sb_arch_opt.problems.hierarchical import HierZDT1Small
problem = HierZDT1Small()
problem.print_stats()

In the print_stats line, an error occurs due to use deprecated numpy.float. Since numpy version is not pinned, I had the latest version 1.25.0. I suggest to replace the numpy.float with built-in float (preferable); or pin the numpy version to one < 1.20.0 (not recommended) as a short term fix. Full traceback:

AttributeError                            Traceback (most recent call last)
Cell In[1], line 5
      3 # Instantiate the problem class and print some statistics
      4 problem = HierZDT1Small()
----> 5 problem.print_stats()

File ~/Documents/sbarchopt-test-py39/venv/lib/python3.9/site-packages/sb_arch_opt/problem.py:221, in ArchOptProblemBase.print_stats(self)
    218 print(f'MD     : {n_discr > 0 and n_cont > 0}')  # Is it a mixed-discrete problem?
    219 print(f'MO     : {self.n_obj > 1}')  # Is it a multi-objective problem?
--> 221 imp_ratio = self.get_imputation_ratio()
    222 discrete_imp_ratio = self.get_discrete_imputation_ratio()
    223 cont_imp_ratio = self.get_continuous_imputation_ratio()

File ~/Documents/sbarchopt-test-py39/venv/lib/python3.9/site-packages/sb_arch_opt/problem.py:244, in ArchOptProblemBase.get_imputation_ratio(self)
    239 def get_imputation_ratio(self) -> float:
    240     """
    241     Returns the problem-level imputation ratio, a measure of how hierarchical the problem is. It is calculated
    242     from the product of the discrete and continuous imputation ratios.
    243     """
--> 244     return self.design_space.imputation_ratio

File ~/Documents/sbarchopt-test-py39/venv/lib/python3.9/site-packages/cached_property.py:36, in cached_property.__get__(self, obj, cls)
     33 if asyncio and asyncio.iscoroutinefunction(self.func):
     34     return self._wrap_in_coroutine(obj)
---> 36 value = obj.__dict__[self.func.__name__] = self.func(obj)
     37 return value

File ~/Documents/sbarchopt-test-py39/venv/lib/python3.9/site-packages/sb_arch_opt/design_space.py:260, in ArchDesignSpace.imputation_ratio(self)
    254 @cached_property
    255 def imputation_ratio(self) -> float:
    256     """
    257     Returns the problem-level imputation ratio, a measure of how hierarchical the problem is. It is calculated
    258     from the product of the discrete and continuous imputation ratios.
    259     """
--> 260     return self.discrete_imputation_ratio * self.continuous_imputation_ratio

File ~/Documents/sbarchopt-test-py39/venv/lib/python3.9/site-packages/cached_property.py:36, in cached_property.__get__(self, obj, cls)
     33 if asyncio and asyncio.iscoroutinefunction(self.func):
     34     return self._wrap_in_coroutine(obj)
---> 36 value = obj.__dict__[self.func.__name__] = self.func(obj)
     37 return value

File ~/Documents/sbarchopt-test-py39/venv/lib/python3.9/site-packages/sb_arch_opt/design_space.py:278, in ArchDesignSpace.discrete_imputation_ratio(self)
    275 if n_valid == 0:
    276     return 1.
--> 278 n_declared = self.get_n_declared_discrete()
    279 discrete_imp_ratio = n_declared/n_valid
    280 return discrete_imp_ratio

File ~/Documents/sbarchopt-test-py39/venv/lib/python3.9/site-packages/sb_arch_opt/design_space.py:252, in ArchDesignSpace.get_n_declared_discrete(self)
    249 if len(n_opts_discrete) == 0:
    250     return 1
--> 252 return int(np.prod(n_opts_discrete, dtype=np.float))

File ~/Documents/sbarchopt-test-py39/venv/lib/python3.9/site-packages/numpy/__init__.py:313, in __getattr__(attr)
    308     warnings.warn(
    309         f"In the future `np.{attr}` will be defined as the "
    310         "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
    312 if attr in __former_attrs__:
--> 313     raise AttributeError(__former_attrs__[attr])
    315 if attr == 'testing':
    316     import numpy.testing as testing

AttributeError: module 'numpy' has no attribute 'float'.
`np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

jbussemaker / SBArchOpt

Use of deprecated np.float #1