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@@ -58,7 +58,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "For reference, the results on a Core i7-14700K CPU, Windows 11,\nPython 3.13.3, numpy 2.2.6, scipy 1.15.3, mkl-fft 1.3.14::\n\n    harmonics 1\n      axis -1\n        not_fft              0.036s   1.00\n        not_fft (6 threads)  0.006s   0.17\n        numpy_fft            0.270s   7.60\n        scipy_fft            0.236s   6.64\n        mkl_fft              0.114s   3.20\n      axis 0\n        not_fft              0.139s   3.90\n        not_fft (6 threads)  0.028s   0.78\n        numpy_fft            0.591s  16.63\n        scipy_fft            0.509s  14.32\n        mkl_fft              0.148s   4.18\n      axis 2\n        not_fft              0.037s   1.03\n        not_fft (6 threads)  0.006s   0.16\n        numpy_fft            0.265s   7.47\n        scipy_fft            0.239s   6.72\n        mkl_fft              0.117s   3.29\n    harmonics 8\n      axis -1\n        not_fft              0.284s   8.00\n        not_fft (6 threads)  0.040s   1.13\n        numpy_fft            0.279s   7.84\n        scipy_fft            0.247s   6.94\n        mkl_fft              0.129s   3.64\n      axis 0\n        not_fft              1.120s  31.52\n        not_fft (6 threads)  0.280s   7.88\n        numpy_fft            0.679s  19.11\n        scipy_fft            0.525s  14.78\n        mkl_fft              0.165s   4.65\n      axis 2\n        not_fft              0.285s   8.03\n        not_fft (6 threads)  0.039s   1.10\n        numpy_fft            0.278s   7.84\n        scipy_fft            0.243s   6.85\n        mkl_fft              0.131s   3.68\n\n"
+        "For reference, the results on a Core i7-14700K CPU, Windows 11,\nPython 3.14.0, numpy 2.3.5, scipy 1.16.3, mkl-fft 2.1.1::\n\n    harmonics 1\n      axis -1\n        not_fft              0.034s   1.00\n        not_fft (6 threads)  0.006s   0.17\n        numpy_fft            0.274s   8.03\n        scipy_fft            0.240s   7.04\n        mkl_fft              0.141s   4.14\n      axis 0\n        not_fft              0.162s   4.75\n        not_fft (6 threads)  0.038s   1.13\n        numpy_fft            0.697s  20.44\n        scipy_fft            0.496s  14.54\n        mkl_fft              0.167s   4.90\n      axis 2\n        not_fft              0.038s   1.12\n        not_fft (6 threads)  0.006s   0.16\n        numpy_fft            0.272s   7.99\n        scipy_fft            0.240s   7.04\n        mkl_fft              0.130s   3.83\n    harmonics 8\n      axis -1\n        not_fft              0.287s   8.43\n        not_fft (6 threads)  0.040s   1.17\n        numpy_fft            0.288s   8.45\n        scipy_fft            0.253s   7.43\n        mkl_fft              0.161s   4.74\n      axis 0\n        not_fft              1.161s  34.04\n        not_fft (6 threads)  0.425s  12.47\n        numpy_fft            0.715s  20.97\n        scipy_fft            0.541s  15.88\n        mkl_fft              0.183s   5.38\n      axis 2\n        not_fft              0.282s   8.27\n        not_fft (6 threads)  0.038s   1.13\n        numpy_fft            0.288s   8.46\n        scipy_fft            0.255s   7.49\n        mkl_fft              0.155s   4.56\n\n"
       ]
     },
     {
 
@@ -54,7 +54,6 @@
 # Print execution times depending on FFT function, axis, number of harmonics,
 # and number of threads:
 
-
 statement = """
 phasor_from_signal(signal, axis=axis, harmonic=harmonic, **kwargs)
 """
@@ -92,46 +91,46 @@ def print_(descr, t):
 
 # %%
 # For reference, the results on a Core i7-14700K CPU, Windows 11,
-# Python 3.13.3, numpy 2.2.6, scipy 1.15.3, mkl-fft 1.3.14::
+# Python 3.14.0, numpy 2.3.5, scipy 1.16.3, mkl-fft 2.1.1::
 #
 #     harmonics 1
 #       axis -1
-#         not_fft              0.036s   1.00
+#         not_fft              0.034s   1.00
 #         not_fft (6 threads)  0.006s   0.17
-#         numpy_fft            0.270s   7.60
-#         scipy_fft            0.236s   6.64
-#         mkl_fft              0.114s   3.20
+#         numpy_fft            0.274s   8.03
+#         scipy_fft            0.240s   7.04
+#         mkl_fft              0.141s   4.14
 #       axis 0
-#         not_fft              0.139s   3.90
-#         not_fft (6 threads)  0.028s   0.78
-#         numpy_fft            0.591s  16.63
-#         scipy_fft            0.509s  14.32
-#         mkl_fft              0.148s   4.18
+#         not_fft              0.162s   4.75
+#         not_fft (6 threads)  0.038s   1.13
+#         numpy_fft            0.697s  20.44
+#         scipy_fft            0.496s  14.54
+#         mkl_fft              0.167s   4.90
 #       axis 2
-#         not_fft              0.037s   1.03
+#         not_fft              0.038s   1.12
 #         not_fft (6 threads)  0.006s   0.16
-#         numpy_fft            0.265s   7.47
-#         scipy_fft            0.239s   6.72
-#         mkl_fft              0.117s   3.29
+#         numpy_fft            0.272s   7.99
+#         scipy_fft            0.240s   7.04
+#         mkl_fft              0.130s   3.83
 #     harmonics 8
 #       axis -1
-#         not_fft              0.284s   8.00
-#         not_fft (6 threads)  0.040s   1.13
-#         numpy_fft            0.279s   7.84
-#         scipy_fft            0.247s   6.94
-#         mkl_fft              0.129s   3.64
+#         not_fft              0.287s   8.43
+#         not_fft (6 threads)  0.040s   1.17
+#         numpy_fft            0.288s   8.45
+#         scipy_fft            0.253s   7.43
+#         mkl_fft              0.161s   4.74
 #       axis 0
-#         not_fft              1.120s  31.52
-#         not_fft (6 threads)  0.280s   7.88
-#         numpy_fft            0.679s  19.11
-#         scipy_fft            0.525s  14.78
-#         mkl_fft              0.165s   4.65
+#         not_fft              1.161s  34.04
+#         not_fft (6 threads)  0.425s  12.47
+#         numpy_fft            0.715s  20.97
+#         scipy_fft            0.541s  15.88
+#         mkl_fft              0.183s   5.38
 #       axis 2
-#         not_fft              0.285s   8.03
-#         not_fft (6 threads)  0.039s   1.10
-#         numpy_fft            0.278s   7.84
-#         scipy_fft            0.243s   6.85
-#         mkl_fft              0.131s   3.68
+#         not_fft              0.282s   8.27
+#         not_fft (6 threads)  0.038s   1.13
+#         numpy_fft            0.288s   8.46
+#         scipy_fft            0.255s   7.49
+#         mkl_fft              0.155s   4.56
 
 # %%
 # Results
Original file line number	Diff line number	Diff line change
`@@ -58,7 +58,7 @@`
`58`	`58`	`"cell_type": "markdown",`
`59`	`59`	`"metadata": {},`
`60`	`60`	`"source": [`
`61`		- "For reference, the results on a Core i7-14700K CPU, Windows 11,\nPython 3.13.3, numpy 2.2.6, scipy 1.15.3, mkl-fft 1.3.14::\n\n harmonics 1\n axis -1\n not_fft 0.036s 1.00\n not_fft (6 threads) 0.006s 0.17\n numpy_fft 0.270s 7.60\n scipy_fft 0.236s 6.64\n mkl_fft 0.114s 3.20\n axis 0\n not_fft 0.139s 3.90\n not_fft (6 threads) 0.028s 0.78\n numpy_fft 0.591s 16.63\n scipy_fft 0.509s 14.32\n mkl_fft 0.148s 4.18\n axis 2\n not_fft 0.037s 1.03\n not_fft (6 threads) 0.006s 0.16\n numpy_fft 0.265s 7.47\n scipy_fft 0.239s 6.72\n mkl_fft 0.117s 3.29\n harmonics 8\n axis -1\n not_fft 0.284s 8.00\n not_fft (6 threads) 0.040s 1.13\n numpy_fft 0.279s 7.84\n scipy_fft 0.247s 6.94\n mkl_fft 0.129s 3.64\n axis 0\n not_fft 1.120s 31.52\n not_fft (6 threads) 0.280s 7.88\n numpy_fft 0.679s 19.11\n scipy_fft 0.525s 14.78\n mkl_fft 0.165s 4.65\n axis 2\n not_fft 0.285s 8.03\n not_fft (6 threads) 0.039s 1.10\n numpy_fft 0.278s 7.84\n scipy_fft 0.243s 6.85\n mkl_fft 0.131s 3.68\n\n"
	`61`	+ "For reference, the results on a Core i7-14700K CPU, Windows 11,\nPython 3.14.0, numpy 2.3.5, scipy 1.16.3, mkl-fft 2.1.1::\n\n harmonics 1\n axis -1\n not_fft 0.034s 1.00\n not_fft (6 threads) 0.006s 0.17\n numpy_fft 0.274s 8.03\n scipy_fft 0.240s 7.04\n mkl_fft 0.141s 4.14\n axis 0\n not_fft 0.162s 4.75\n not_fft (6 threads) 0.038s 1.13\n numpy_fft 0.697s 20.44\n scipy_fft 0.496s 14.54\n mkl_fft 0.167s 4.90\n axis 2\n not_fft 0.038s 1.12\n not_fft (6 threads) 0.006s 0.16\n numpy_fft 0.272s 7.99\n scipy_fft 0.240s 7.04\n mkl_fft 0.130s 3.83\n harmonics 8\n axis -1\n not_fft 0.287s 8.43\n not_fft (6 threads) 0.040s 1.17\n numpy_fft 0.288s 8.45\n scipy_fft 0.253s 7.43\n mkl_fft 0.161s 4.74\n axis 0\n not_fft 1.161s 34.04\n not_fft (6 threads) 0.425s 12.47\n numpy_fft 0.715s 20.97\n scipy_fft 0.541s 15.88\n mkl_fft 0.183s 5.38\n axis 2\n not_fft 0.282s 8.27\n not_fft (6 threads) 0.038s 1.13\n numpy_fft 0.288s 8.46\n scipy_fft 0.255s 7.49\n mkl_fft 0.155s 4.56\n\n"
`62`	`62`	`]`
`63`	`63`	`},`
`64`	`64`	`{`