test_1d_compare_with_numpy fails with numpy 2.2

[olebole]

In Debian, we are transitioning to numpy 2.2, and observe the following test failure:

__________________________ test_1d_compare_with_numpy __________________________

    @given(
>       size=st.integers(0, 50),
        nx=st.integers(1, 10),
        xmin=st.floats(-1e10, 1e10),
        xmax=st.floats(-1e10, 1e10),
        weights=st.booleans(),
        dtype=st.sampled_from([">f4", "<f4", ">f8", "<f8"]),
    )

fast_histogram/tests/test_histogram.py:17: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
fast_histogram/tests/test_histogram.py:47: in test_1d_compare_with_numpy
    reference = np.histogram(x, bins=nx, weights=w, range=(xmin, xmax))[0]
/usr/lib/python3/dist-packages/numpy/lib/_histograms_impl.py:796: in histogram
    bin_edges, uniform_bins = _get_bin_edges(a, bins, range, weights)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

a = array([], dtype='>f8'), bins = 2, range = (-5e-324, 0.0), weights = None

    def _get_bin_edges(a, bins, range, weights):
[…]
        if n_equal_bins is not None:
            # gh-10322 means that type resolution rules are dependent on array
            # shapes. To avoid this causing problems, we pick a type now and stick
            # with it throughout.
            bin_type = np.result_type(first_edge, last_edge, a)
            if np.issubdtype(bin_type, np.integer):
                bin_type = np.result_type(bin_type, float)
    
            # bin edges must be computed
            bin_edges = np.linspace(
                first_edge, last_edge, n_equal_bins + 1,
                endpoint=True, dtype=bin_type)
            if np.any(bin_edges[:-1] >= bin_edges[1:]):
>               raise ValueError(
                    f'Too many bins for data range. Cannot create {n_equal_bins} '
                    f'finite-sized bins.')
E               ValueError: Too many bins for data range. Cannot create 2 finite-sized bins.
E               Falsifying example: test_1d_compare_with_numpy(
E                   # The test sometimes passed when commented parts were varied together.
E                   size=0,  # or any other generated value
E                   nx=2,
E                   xmin=-5e-324,
E                   xmax=0.0,
E                   weights=False,  # or any other generated value
E                   dtype='>f8',  # or any other generated value
E               )
E               Explanation:
E                   These lines were always and only run by failing examples:
E                       /usr/lib/python3/dist-packages/numpy/_core/function_base.py:155

/usr/lib/python3/dist-packages/numpy/lib/_histograms_impl.py:453: ValueError

This was reported as Debian#1094732. This looks to me like a problem with the test code and not with the operational code, so I will disable the test for the moment in the Debian build.