Use np.prod instead of np.product

astropy · Mar 9, 2023 · 5785cae · 5785cae
1 parent a3f4ae6
commit 5785cae
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Showing 3 changed files with 8 additions and 8 deletions.
diff --git a/astropy/convolution/convolve.py b/astropy/convolution/convolve.py
@@ -732,7 +732,7 @@ def convolve_fft(
     kernshape = kernel.shape
 
     array_size_B = (
-        np.product(arrayshape, dtype=np.int64) * np.dtype(complex_dtype).itemsize
+        np.prod(arrayshape, dtype=np.int64) * np.dtype(complex_dtype).itemsize
     ) * u.byte
     if array_size_B > 1 * u.GB and not allow_huge:
         raise ValueError(
@@ -838,7 +838,7 @@ def convolve_fft(
 
     # perform a second check after padding
     array_size_C = (
-        np.product(newshape, dtype=np.int64) * np.dtype(complex_dtype).itemsize
+        np.prod(newshape, dtype=np.int64) * np.dtype(complex_dtype).itemsize
     ) * u.byte
     if array_size_C > 1 * u.GB and not allow_huge:
         raise ValueError(
@@ -852,12 +852,12 @@ def convolve_fft(
     #         (kernel*array)fft +
     #         optional(weight image + weight_fft + weight_ifft) +
     #         optional(returned_fft))
-    # total_memory_used_GB = (np.product(newshape)*np.dtype(complex_dtype).itemsize
+    # total_memory_used_GB = (np.prod(newshape)*np.dtype(complex_dtype).itemsize
     #                        * (5 + 3*((interpolate_nan or ) and kernel_is_normalized))
     #                        + (1 + (not return_fft)) *
-    #                          np.product(arrayshape)*np.dtype(complex_dtype).itemsize
-    #                        + np.product(arrayshape)*np.dtype(bool).itemsize
-    #                        + np.product(kernshape)*np.dtype(bool).itemsize)
+    #                          np.prod(arrayshape)*np.dtype(complex_dtype).itemsize
+    #                        + np.prod(arrayshape)*np.dtype(bool).itemsize
+    #                        + np.prod(kernshape)*np.dtype(bool).itemsize)
     #                        ) / 1024.**3
 
     # separate each dimension by the padding size...  this is to determine the

diff --git a/astropy/modeling/tests/test_core.py b/astropy/modeling/tests/test_core.py
@@ -803,7 +803,7 @@ def test_prepare_outputs_sparse_grid():
     """
 
     shape = (3, 3)
-    data = np.arange(np.product(shape)).reshape(shape) * u.m / u.s
+    data = np.arange(np.prod(shape)).reshape(shape) * u.m / u.s
 
     points_unit = u.pix
     points = [np.arange(size) * points_unit for size in shape]

diff --git a/examples/io/skip_create-large-fits.py b/examples/io/skip_create-large-fits.py
@@ -92,7 +92,7 @@
 
 shape = tuple(header[f'NAXIS{ii}'] for ii in range(1, header['NAXIS']+1))
 with open('large.fits', 'rb+') as fobj:
-    fobj.seek(len(header.tostring()) + (np.product(shape) * np.abs(header['BITPIX']//8)) - 1)
+    fobj.seek(len(header.tostring()) + (np.prod(shape) * np.abs(header['BITPIX']//8)) - 1)
     fobj.write(b'\0')
 
 ##############################################################################