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Use old stride_windows implementation on 32-bit builds #29115

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Merged
QuLogic merged 1 commit into from
Jul 7, 2025
Merged

Use old stride_windows implementation on 32-bit builds #29115

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36 changes: 31 additions & 5 deletions lib/matplotlib/mlab.py
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Original file line number Diff line number Diff line change
Expand Up @@ -48,7 +48,8 @@
"""

import functools
from numbers import Number
from numbers import Integral, Number
import sys

import numpy as np

Expand Down Expand Up @@ -210,6 +211,23 @@ def detrend_linear(y):
return y - (b*x + a)


def _stride_windows(x, n, noverlap=0):
x = np.asarray(x)

_api.check_isinstance(Integral, n=n, noverlap=noverlap)
if not (1 <= n <= x.size and n < noverlap):
raise ValueError(f'n ({n}) and noverlap ({noverlap}) must be positive integers '
f'with n < noverlap and n <= x.size ({x.size})')

if n == 1 and noverlap == 0:

@anntzer anntzer Jul 7, 2025

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I think the special-case here can go away, it should be handled by the general case below.

return x[np.newaxis]

step = n - noverlap
shape = (n, (x.shape[-1]-noverlap)//step)
strides = (x.strides[0], step*x.strides[0])
return np.lib.stride_tricks.as_strided(x, shape=shape, strides=strides)


def _spectral_helper(x, y=None, NFFT=None, Fs=None, detrend_func=None,
window=None, noverlap=None, pad_to=None,
sides=None, scale_by_freq=None, mode=None):
Expand Down Expand Up @@ -304,17 +322,25 @@ def _spectral_helper(x, y=None, NFFT=None, Fs=None, detrend_func=None,
raise ValueError(
"The window length must match the data's first dimension")

result = np.lib.stride_tricks.sliding_window_view(
x, NFFT, axis=0)[::NFFT - noverlap].T
if sys.maxsize > 2**32:
result = np.lib.stride_tricks.sliding_window_view(
x, NFFT, axis=0)[::NFFT - noverlap].T
else:
# The NumPy version on 32-bit will OOM, so use old implementation.
result = _stride_windows(x, NFFT, noverlap=noverlap)
result = detrend(result, detrend_func, axis=0)
result = result * window.reshape((-1, 1))
result = np.fft.fft(result, n=pad_to, axis=0)[:numFreqs, :]
freqs = np.fft.fftfreq(pad_to, 1/Fs)[:numFreqs]

if not same_data:
# if same_data is False, mode must be 'psd'
resultY = np.lib.stride_tricks.sliding_window_view(
y, NFFT, axis=0)[::NFFT - noverlap].T
if sys.maxsize > 2**32:
resultY = np.lib.stride_tricks.sliding_window_view(
y, NFFT, axis=0)[::NFFT - noverlap].T
else:
# The NumPy version on 32-bit will OOM, so use old implementation.
resultY = _stride_windows(y, NFFT, noverlap=noverlap)
resultY = detrend(resultY, detrend_func, axis=0)
resultY = resultY * window.reshape((-1, 1))
resultY = np.fft.fft(resultY, n=pad_to, axis=0)[:numFreqs, :]
Expand Down