Fix numpy.float deprecation, close #75 close #76 (#77)

* Fix the np.float depreciation issue * bump package version -> 0.3.3 --------- Co-authored-by: Jiatao Li <[email protected]>
guilgautier · Aug 14, 2024 · 0d34dd6 · 0d34dd6
1 parent cb4577f
commit 0d34dd6
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Showing 3 changed files with 4 additions and 4 deletions.
diff --git a/dppy/exact_sampling.py b/dppy/exact_sampling.py
@@ -1282,7 +1282,7 @@ def k_dpp_eig_vecs_selector(eig_vals, eig_vecs, size,
     N, k = eig_vecs.shape[0], size
 
     # as in np.linalg.matrix_rank
-    tol = np.max(eig_vals) * N * np.finfo(np.float).eps
+    tol = np.max(eig_vals) * N * np.finfo(float).eps
     rank = np.count_nonzero(eig_vals > tol)
     if k > rank:
         raise ValueError('size k={} > rank={}'.format(k, rank))

diff --git a/dppy/intermediate_sampling.py b/dppy/intermediate_sampling.py
@@ -268,7 +268,7 @@ def temp_func_with_root_in_desired_expected_size(x):
 
         alpha_star, opt_result = brentq(
                                 temp_func_with_root_in_desired_expected_size,
-                                a=10.0 * np.finfo(np.float).eps,
+                                a=10.0 * np.finfo(float).eps,
                                 b=1.0,
                                 full_output=True)
 
@@ -619,7 +619,7 @@ def temp_func_with_root_in_desired_expected_size(x):
             return np.sum(1.0 - 1.0 / (x * eigvals_L_hat + 1.0)) - desired_expected_size
 
         alpha_hat, opt_result = brentq(temp_func_with_root_in_desired_expected_size,
-                                       a=10.0 * np.finfo(np.float).eps,
+                                       a=10.0 * np.finfo(float).eps,
                                        b=4.0,
                                        full_output=True)
 

diff --git a/setup.py b/setup.py
@@ -24,7 +24,7 @@
     # Versions should comply with PEP440.  For a discussion on single-sourcing
     # the version across setup.py and the project code, see
     # https://packaging.python.org/en/latest/single_source_version.html
-    version='0.3.2',
+    version='0.3.3',
 
     description='DPPy is a Python library for exact and approximate sampling of Determinantal Point Processes.',
     long_description=long_description,