Remove numpy 1.25 constraint (#83)

Co-authored-by: Elena Peña Tapia <[email protected]>

Author: woodsp-ibm

constraints.txt

@@ -1,5 +1,2 @@
-# Numpy 1.25 deprecated some behaviours that we used, and caused the isometry
-# tests to flake. See https://github.com/Qiskit/qiskit-terra/issues/10305,
-# remove pin when resolving that.
-numpy<1.25
+# Constraints may be listed here
 

qiskit_algorithms/optimizers/snobfit.py

@@ -57,8 +57,7 @@ def __init__(
                 See https://github.com/scikit-quant/scikit-quant/issues/24 for more details.
         """
         # check version
-        version = tuple(map(int, np.__version__.split(".")))
-        if version >= (1, 24, 0):
+        if tuple(map(int, np.__version__.split(".")[:2])) >= (1, 24):
             raise AlgorithmError(
                 "SnobFit is incompatible with NumPy 1.24.0 or above, please "
                 "install a previous version. See also scikit-quant/scikit-quant#24."

qiskit_algorithms/optimizers/spsa.py

@@ -629,7 +629,7 @@ def minimize(
         logger.info("SPSA: Finished in %s", time() - start)
 
         if self.last_avg > 1:
-            x = np.mean(last_steps, axis=0)  # type: ignore[call-overload]
+            x = np.mean(np.asarray(last_steps), axis=0)
 
         result = OptimizerResult()
         result.x = x