Pins numpy<2, fix svd for scipy>=1.11.0

[n-poulsen]

This pull request pins the numpy version required for DeepLabCut to numpy<2.0.0 and fixes SVD computation in Tracklet.estimate_rank for scipy>=1.11.0.

scipy SVD computation

With scipy<1.11.0, computation of the SVD of an all-zero matrix would be successful, returning an all-zero array for the singular values. With scipy>=1.11.0, this fails with a ValueError. Hence, we first check if the matrice is the zero matrix before computing the SVD. If it is, we return a zero-vector to match the behavior of scipy<1.11.0.

This can be verified with the following script:

import numpy as np
from scipy.linalg.interpolative import svd

mat = np.ones((100, 100))
u, s, v = svd(mat, 10)
print(s.shape)
print(s)

mat = np.zeros((100, 100))
u, s, v = svd(mat, 10)
print(s.shape)
print(s)

With scipy==1.10.1 this succeeds with the output:

# Installed packages
# 
# Package    Version
# ---------- -------
# numpy      1.26.4
# pip        24.2
# scipy      1.10.1
# setuptools 75.1.0
# wheel      0.44.0

(10,)
[1.00000000e+002 2.00894856e-014 9.74976675e-030 1.87711978e-044
 3.36274201e-059 7.64750134e-074 6.78987388e-089 1.85753577e-103
 5.94236148e-118 5.94807826e-133]
(10,)
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]

While with scipy==1.15.0 this fails with the output:

# Installed packages
# 
# Package    Version
# ---------- -------
# numpy      1.26.4
# pip        24.2
# scipy      1.15.0
# setuptools 75.1.0
# wheel      0.44.0

(10,)
[1.00000000e+002 1.97841743e-014 2.33093502e-029 3.08938377e-044
 4.24604188e-059 6.43087871e-074 1.13626229e-088 8.36470319e-104
 1.62555162e-118 3.13271339e-133]
Traceback (most recent call last):
  File "sktest.py", line 11, in <module>
    u, s, v = svd(mat, 10)
  File "/miniconda/envs/sk15/lib/python3.10/site-packages/scipy/linalg/interpolative.py", line 905, in svd
    U, S, V = _backend.iddr_asvd(A, k, rng=rng)
  File "_decomp_interpolative.pyx", line 933, in scipy.linalg._decomp_interpolative.iddr_asvd
  File "/miniconda/envs/sk15/lib/python3.10/site-packages/scipy/linalg/_decomp_svd.py", line 106, in svd
    a1 = _asarray_validated(a, check_finite=check_finite)
  File "/miniconda/envs/sk15/lib/python3.10/site-packages/scipy/_lib/_util.py", line 537, in _asarray_validated
    a = toarray(a)
  File "/miniconda/envs/sk15/lib/python3.10/site-packages/numpy/lib/function_base.py", line 630, in asarray_chkfinite
    raise ValueError(
ValueError: array must not contain infs or NaNs