Support NumPy 2.0

lib/bx/binned_array.py

@@ -20,7 +20,7 @@
     array,
     concatenate,
     frombuffer,
-    NaN,
+    nan,
     resize,
     zeros,
 )
@@ -70,7 +70,7 @@ def bytesify(s):
 
 
 class BinnedArray:
-    def __init__(self, bin_size=512 * 1024, default=NaN, max_size=MAX, typecode="f"):
+    def __init__(self, bin_size=512 * 1024, default=nan, max_size=MAX, typecode="f"):
         self.max_size = max_size
         self.bin_size = bin_size
         self.nbins = int(math.ceil(max_size / self.bin_size))
@@ -273,7 +273,7 @@ def __getitem__(self, key):
 
 
 class BinnedArrayWriter:
-    def __init__(self, f, bin_size=512 * 1024, default=NaN, max_size=MAX, typecode="f", comp_type="zlib"):
+    def __init__(self, f, bin_size=512 * 1024, default=nan, max_size=MAX, typecode="f", comp_type="zlib"):
         # All parameters in the constructor are immutable after creation
         self.f = f
         self.max_size = max_size

lib/bx/binned_array_tests.py

@@ -6,7 +6,7 @@
 from numpy import (
     allclose,
     concatenate,
-    NaN,
+    nan,
     zeros,
 )
 from numpy.random import random_sample as random
@@ -34,7 +34,7 @@ def source_target():
             source = concatenate((source, zeros(CHUNK_SIZE_ZEROS, "f")))
     source = source.astype("f")
     # Set on target
-    target = BinnedArray(128, NaN, len(source))
+    target = BinnedArray(128, nan, len(source))
     for i in range(len(source)):
         # if not isNaN( source[i] ):
         target[i] = source[i]

pyproject.toml

@@ -1,5 +1,11 @@
 [build-system]
-requires = ["cython", "oldest-supported-numpy", "setuptools", "wheel"]
+requires = [
+    "cython",
+    "numpy>=1.25.0; python_version>='3.9'",
+    "oldest-supported-numpy; python_version<'3.9'",
+    "setuptools",
+    "wheel",
+]
 build-backend = "setuptools.build_meta"
 
 [tool.black]