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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
The text was updated successfully, but these errors were encountered:
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:
The text was updated successfully, but these errors were encountered: