PATCH: numpy deprecated np.float. replaced with 'float'

setup.py

@@ -12,28 +12,26 @@
 
 setuptools.setup(
     name="sim-tools",
-    #there must be an way to auto tick up the version number...
     version=__version__,
     author="Thomas Monks",
     author_email="t.m.w.monks@exeter.ac.uk",
     license="The MIT License (MIT)",
     description="Simulation Tools for Education and Practice",
     long_description=long_description,
     long_description_content_type="text/markdown",
-    url="https://github.com/TomMonks/ovs-tutorial",
+    url="https://github.com/TomMonks/sim-tools",
     packages=setuptools.find_packages(),
     #if true look in MANIFEST.in for data files to include
     include_package_data=False,
     #2nd approach to include data is include_package_data=False
     #package_data={"test_package": ["data/*.csv"]},
     #these are for documentation 
     classifiers=[
-        "Programming Language :: Python :: 3.6",
-        "Programming Language :: Python :: 3.7",
-        "Programming Language :: Python :: 3.8",
+        "Programming Language :: Python :: 3.10",
+        "Programming Language :: Python :: 3.11",
         "License :: OSI Approved :: MIT License",
         "Operating System :: OS Independent",
     ],
-    python_requires='>=3.6.9',
+    python_requires='>=3.10',
     install_requires=requirements,
 )

sim_tools/ovs/fixed_budget.py

@@ -360,7 +360,7 @@ def _allocate(self):
 
         #got all of the ratios now...
         more_runs = np.full(self._k, True, dtype=bool)
-        additional_runs = np.zeros(self._k, dtype=np.float)
+        additional_runs = np.zeros(self._k, dtype='float')
         more_alloc = True
 
         #do i need to use the more alloc or can i just use mask?

sim_tools/ovs/toy_models.py

@@ -28,10 +28,10 @@ def __init__(self, model, n_designs, verbose=False):
         model.register_observer(self)
         self.verbose = verbose
         self._n_designs = n_designs
-        self.means = np.zeros(n_designs, dtype=np.float)
-        self.vars = np.zeros(n_designs, dtype=np.float)
-        self._sq = np.zeros(n_designs, dtype=np.float)
-        self._ses = np.zeros(n_designs, dtype=np.float)
+        self.means = np.zeros(n_designs, dtype='float')
+        self.vars = np.zeros(n_designs, dtype='float')
+        self._sq = np.zeros(n_designs, dtype='float')
+        self._ses = np.zeros(n_designs, dtype='float')
         self.allocations = np.zeros(n_designs, np.int32)
 
     def __str__(self):