*** This log is abridged to its last 1000 lines:

        prev       = 0.0
        quadrature = 'gk15'
        rnd        = 1.743934249061916e-14
        rounding_error = 3.487868498123833e-14
        status_msg = {0: 'Target precision reached.', 1: 'Target precision not reached.', 2: 'Target precision could not be reached due to rounding error.', 3: 'Non-finite values encountered.'}
        workers    = 4
        x1         = 0.0
        x2         = 1.0
lib/python3.12/site-packages/scipy/_lib/_util.py:480: in __init__
    self.pool = Pool(processes=int(pool))
        Pool       = <bound method BaseContext.Pool of <multiprocessing.context.DefaultContext object at 0x7f7c62b4c440>>
        pool       = 4
        self       = <scipy._lib._util.MapWrapper object at 0x7f7c5f01e5d0>
/usr/lib/python3.12/multiprocessing/context.py:119: in Pool
    return Pool(processes, initializer, initargs, maxtasksperchild,
        Pool       = <class 'multiprocessing.pool.Pool'>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 4
        self       = <multiprocessing.context.DefaultContext object at 0x7f7c62b4c440>
/usr/lib/python3.12/multiprocessing/pool.py:191: in __init__
    self._setup_queues()
        context    = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 4
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/pool.py:346: in _setup_queues
    self._inqueue = self._ctx.SimpleQueue()
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue
    return SimpleQueue(ctx=self.get_context())
        SimpleQueue = <class 'multiprocessing.queues.SimpleQueue'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/queues.py:363: in __init__
    self._rlock = ctx.Lock()
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <multiprocessing.queues.SimpleQueue object at 0x7f7c42189490>
/usr/lib/python3.12/multiprocessing/context.py:68: in Lock
    return Lock(ctx=self.get_context())
        Lock       = <class 'multiprocessing.synchronize.Lock'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <Lock(owner=unknown)>
/usr/lib/python3.12/multiprocessing/synchronize.py:57: in __init__
    sl = self._semlock = _multiprocessing.SemLock(
E   PermissionError: [Errno 13] Permission denied
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        i          = 0
        kind       = 1
        maxvalue   = 1
        self       = <Lock(owner=unknown)>
        unlink_now = True
        value      = 1
_________________________ test_quad_vec_pool_args[1-2] _________________________
lib/python3.12/site-packages/scipy/integrate/tests/test__quad_vec.py:135: in test_quad_vec_pool_args
    with Pool(workers) as pool:
        err        = 9.930136612989089e-14
        exact      = array([0.        , 1.33333333, 2.66666667])
        extra_args = 2
        f          = <function _func_with_args at 0x7f7c5f034fe0>
        res        = array([0.        , 1.33333333, 2.66666667])
        workers    = 1
/usr/lib/python3.12/multiprocessing/dummy/__init__.py:124: in Pool
    return ThreadPool(processes, initializer, initargs)
        ThreadPool = <class 'multiprocessing.pool.ThreadPool'>
        initargs   = ()
        initializer = None
        processes  = 1
/usr/lib/python3.12/multiprocessing/pool.py:930: in __init__
    Pool.__init__(self, processes, initializer, initargs)
        initargs   = ()
        initializer = None
        processes  = 1
        self       = <multiprocessing.pool.ThreadPool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/pool.py:196: in __init__
    self._change_notifier = self._ctx.SimpleQueue()
        context    = None
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 1
        self       = <multiprocessing.pool.ThreadPool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue
    return SimpleQueue(ctx=self.get_context())
        SimpleQueue = <class 'multiprocessing.queues.SimpleQueue'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/queues.py:363: in __init__
    self._rlock = ctx.Lock()
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <multiprocessing.queues.SimpleQueue object at 0x7f7c42189400>
/usr/lib/python3.12/multiprocessing/context.py:68: in Lock
    return Lock(ctx=self.get_context())
        Lock       = <class 'multiprocessing.synchronize.Lock'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <Lock(owner=unknown)>
/usr/lib/python3.12/multiprocessing/synchronize.py:57: in __init__
    sl = self._semlock = _multiprocessing.SemLock(
E   PermissionError: [Errno 13] Permission denied
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        i          = 0
        kind       = 1
        maxvalue   = 1
        self       = <Lock(owner=unknown)>
        unlink_now = True
        value      = 1
____________________ test_quad_vec_pool_args[1-extra_args1] ____________________
lib/python3.12/site-packages/scipy/integrate/tests/test__quad_vec.py:135: in test_quad_vec_pool_args
    with Pool(workers) as pool:
        err        = 9.930136612989089e-14
        exact      = array([0.        , 1.33333333, 2.66666667])
        extra_args = (2,)
        f          = <function _func_with_args at 0x7f7c5f034fe0>
        res        = array([0.        , 1.33333333, 2.66666667])
        workers    = 1
/usr/lib/python3.12/multiprocessing/dummy/__init__.py:124: in Pool
    return ThreadPool(processes, initializer, initargs)
        ThreadPool = <class 'multiprocessing.pool.ThreadPool'>
        initargs   = ()
        initializer = None
        processes  = 1
/usr/lib/python3.12/multiprocessing/pool.py:930: in __init__
    Pool.__init__(self, processes, initializer, initargs)
        initargs   = ()
        initializer = None
        processes  = 1
        self       = <multiprocessing.pool.ThreadPool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/pool.py:196: in __init__
    self._change_notifier = self._ctx.SimpleQueue()
        context    = None
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 1
        self       = <multiprocessing.pool.ThreadPool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue
    return SimpleQueue(ctx=self.get_context())
        SimpleQueue = <class 'multiprocessing.queues.SimpleQueue'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/queues.py:363: in __init__
    self._rlock = ctx.Lock()
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <multiprocessing.queues.SimpleQueue object at 0x7f7c41d8d010>
/usr/lib/python3.12/multiprocessing/context.py:68: in Lock
    return Lock(ctx=self.get_context())
        Lock       = <class 'multiprocessing.synchronize.Lock'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <Lock(owner=unknown)>
/usr/lib/python3.12/multiprocessing/synchronize.py:57: in __init__
    sl = self._semlock = _multiprocessing.SemLock(
E   PermissionError: [Errno 13] Permission denied
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        i          = 0
        kind       = 1
        maxvalue   = 1
        self       = <Lock(owner=unknown)>
        unlink_now = True
        value      = 1
________________________ test_quad_vec_pool_args[10-2] _________________________
lib/python3.12/site-packages/scipy/integrate/tests/test__quad_vec.py:132: in test_quad_vec_pool_args
    res, err = quad_vec(f, 0, 1, args=extra_args, workers=workers)
        exact      = array([0.        , 1.33333333, 2.66666667])
        extra_args = 2
        f          = <function _func_with_args at 0x7f7c5f034fe0>
        workers    = 10
lib/python3.12/site-packages/scipy/integrate/_quad_vec.py:358: in quad_vec
    with MapWrapper(workers) as mapwrapper:
        CONVERGED  = 0
        NOT_A_NUMBER = 3
        NOT_CONVERGED = 1
        ROUNDING_ERROR = 2
        _quadrature = <function _quadrature_gk21 at 0x7f7c5efd2a20>
        a          = 0.0
        args       = (2,)
        b          = 1.0
        cache_count = 735294.0
        cache_size = 100000000.0
        epsabs     = 1e-200
        epsrel     = 1e-08
        err        = 3.3100455376630304e-14
        f          = <scipy._lib._util._FunctionWrapper object at 0x7f7c41d8e930>
        full_output = False
        global_error = 3.3100455376630304e-14
        global_integral = array([0.        , 1.33333333, 2.66666667])
        ig         = array([0.        , 1.33333333, 2.66666667])
        initial_intervals = [(0.0, 1.0)]
        interval_cache = LRUDict({(0.0, 1.0): array([0.        , 1.33333333, 2.66666667])})
        intervals  = [(-3.3100455376630304e-14, 0.0, 1.0)]
        kwargs     = {'cache_size': 100000000.0, 'epsabs': 1e-200, 'epsrel': 1e-08, 'full_output': False, ...}
        limit      = 10000
        min_intervals = 2
        neval      = 21
        norm       = '2'
        norm_func  = <function norm at 0x7f7c65527870>
        norm_funcs = {None: <function _max_norm at 0x7f7c5efd1ee0>, 'max': <function _max_norm at 0x7f7c5efd1ee0>, '2': <function norm at 0x7f7c65527870>}
        parallel_count = 128
        points     = None
        quadrature = None
        rnd        = 3.3100455376630304e-14
        rounding_error = 3.3100455376630304e-14
        status_msg = {0: 'Target precision reached.', 1: 'Target precision not reached.', 2: 'Target precision could not be reached due to rounding error.', 3: 'Non-finite values encountered.'}
        workers    = 10
        x1         = 0.0
        x2         = 1.0
lib/python3.12/site-packages/scipy/_lib/_util.py:480: in __init__
    self.pool = Pool(processes=int(pool))
        Pool       = <bound method BaseContext.Pool of <multiprocessing.context.DefaultContext object at 0x7f7c62b4c440>>
        pool       = 10
        self       = <scipy._lib._util.MapWrapper object at 0x7f7c41d8ea20>
/usr/lib/python3.12/multiprocessing/context.py:119: in Pool
    return Pool(processes, initializer, initargs, maxtasksperchild,
        Pool       = <class 'multiprocessing.pool.Pool'>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 10
        self       = <multiprocessing.context.DefaultContext object at 0x7f7c62b4c440>
/usr/lib/python3.12/multiprocessing/pool.py:191: in __init__
    self._setup_queues()
        context    = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 10
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/pool.py:346: in _setup_queues
    self._inqueue = self._ctx.SimpleQueue()
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue
    return SimpleQueue(ctx=self.get_context())
        SimpleQueue = <class 'multiprocessing.queues.SimpleQueue'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/queues.py:363: in __init__
    self._rlock = ctx.Lock()
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <multiprocessing.queues.SimpleQueue object at 0x7f7c41d8de50>
/usr/lib/python3.12/multiprocessing/context.py:68: in Lock
    return Lock(ctx=self.get_context())
        Lock       = <class 'multiprocessing.synchronize.Lock'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <Lock(owner=unknown)>
/usr/lib/python3.12/multiprocessing/synchronize.py:57: in __init__
    sl = self._semlock = _multiprocessing.SemLock(
E   PermissionError: [Errno 13] Permission denied
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        i          = 0
        kind       = 1
        maxvalue   = 1
        self       = <Lock(owner=unknown)>
        unlink_now = True
        value      = 1
___________________ test_quad_vec_pool_args[10-extra_args1] ____________________
lib/python3.12/site-packages/scipy/integrate/tests/test__quad_vec.py:132: in test_quad_vec_pool_args
    res, err = quad_vec(f, 0, 1, args=extra_args, workers=workers)
        exact      = array([0.        , 1.33333333, 2.66666667])
        extra_args = (2,)
        f          = <function _func_with_args at 0x7f7c5f034fe0>
        workers    = 10
lib/python3.12/site-packages/scipy/integrate/_quad_vec.py:358: in quad_vec
    with MapWrapper(workers) as mapwrapper:
        CONVERGED  = 0
        NOT_A_NUMBER = 3
        NOT_CONVERGED = 1
        ROUNDING_ERROR = 2
        _quadrature = <function _quadrature_gk21 at 0x7f7c5efd2a20>
        a          = 0.0
        args       = (2,)
        b          = 1.0
        cache_count = 735294.0
        cache_size = 100000000.0
        epsabs     = 1e-200
        epsrel     = 1e-08
        err        = 3.3100455376630304e-14
        f          = <scipy._lib._util._FunctionWrapper object at 0x7f7c41d8f9e0>
        full_output = False
        global_error = 3.3100455376630304e-14
        global_integral = array([0.        , 1.33333333, 2.66666667])
        ig         = array([0.        , 1.33333333, 2.66666667])
        initial_intervals = [(0.0, 1.0)]
        interval_cache = LRUDict({(0.0, 1.0): array([0.        , 1.33333333, 2.66666667])})
        intervals  = [(-3.3100455376630304e-14, 0.0, 1.0)]
        kwargs     = {'cache_size': 100000000.0, 'epsabs': 1e-200, 'epsrel': 1e-08, 'full_output': False, ...}
        limit      = 10000
        min_intervals = 2
        neval      = 21
        norm       = '2'
        norm_func  = <function norm at 0x7f7c65527870>
        norm_funcs = {None: <function _max_norm at 0x7f7c5efd1ee0>, 'max': <function _max_norm at 0x7f7c5efd1ee0>, '2': <function norm at 0x7f7c65527870>}
        parallel_count = 128
        points     = None
        quadrature = None
        rnd        = 3.3100455376630304e-14
        rounding_error = 3.3100455376630304e-14
        status_msg = {0: 'Target precision reached.', 1: 'Target precision not reached.', 2: 'Target precision could not be reached due to rounding error.', 3: 'Non-finite values encountered.'}
        workers    = 10
        x1         = 0.0
        x2         = 1.0
lib/python3.12/site-packages/scipy/_lib/_util.py:480: in __init__
    self.pool = Pool(processes=int(pool))
        Pool       = <bound method BaseContext.Pool of <multiprocessing.context.DefaultContext object at 0x7f7c62b4c440>>
        pool       = 10
        self       = <scipy._lib._util.MapWrapper object at 0x7f7c41d8f320>
/usr/lib/python3.12/multiprocessing/context.py:119: in Pool
    return Pool(processes, initializer, initargs, maxtasksperchild,
        Pool       = <class 'multiprocessing.pool.Pool'>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 10
        self       = <multiprocessing.context.DefaultContext object at 0x7f7c62b4c440>
/usr/lib/python3.12/multiprocessing/pool.py:191: in __init__
    self._setup_queues()
        context    = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 10
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/pool.py:346: in _setup_queues
    self._inqueue = self._ctx.SimpleQueue()
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue
    return SimpleQueue(ctx=self.get_context())
        SimpleQueue = <class 'multiprocessing.queues.SimpleQueue'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/queues.py:363: in __init__
    self._rlock = ctx.Lock()
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <multiprocessing.queues.SimpleQueue object at 0x7f7c41d8f080>
/usr/lib/python3.12/multiprocessing/context.py:68: in Lock
    return Lock(ctx=self.get_context())
        Lock       = <class 'multiprocessing.synchronize.Lock'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <Lock(owner=unknown)>
/usr/lib/python3.12/multiprocessing/synchronize.py:57: in __init__
    sl = self._semlock = _multiprocessing.SemLock(
E   PermissionError: [Errno 13] Permission denied
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        i          = 0
        kind       = 1
        maxvalue   = 1
        self       = <Lock(owner=unknown)>
        unlink_now = True
        value      = 1
___________ TestDifferentialEvolutionSolver.test_immediate_updating ____________
lib/python3.12/site-packages/scipy/optimize/tests/test__differential_evolution.py:706: in test_immediate_updating
    with ctx.Pool(2) as p:
        bounds     = [(0.0, 2.0), (0.0, 2.0)]
        ctx        = <multiprocessing.context.SpawnContext object at 0x7f7c62b4c650>
        self       = <scipy.optimize.tests.test__differential_evolution.TestDifferentialEvolutionSolver object at 0x7f7c526d4830>
        solver     = <scipy.optimize._differentialevolution.DifferentialEvolutionSolver object at 0x7f7c3a507050>
/usr/lib/python3.12/multiprocessing/context.py:119: in Pool
    return Pool(processes, initializer, initargs, maxtasksperchild,
        Pool       = <class 'multiprocessing.pool.Pool'>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 2
        self       = <multiprocessing.context.SpawnContext object at 0x7f7c62b4c650>
/usr/lib/python3.12/multiprocessing/pool.py:191: in __init__
    self._setup_queues()
        context    = <multiprocessing.context.SpawnContext object at 0x7f7c62b4c650>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 2
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/pool.py:346: in _setup_queues
    self._inqueue = self._ctx.SimpleQueue()
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue
    return SimpleQueue(ctx=self.get_context())
        SimpleQueue = <class 'multiprocessing.queues.SimpleQueue'>
        self       = <multiprocessing.context.SpawnContext object at 0x7f7c62b4c650>
/usr/lib/python3.12/multiprocessing/queues.py:363: in __init__
    self._rlock = ctx.Lock()
        ctx        = <multiprocessing.context.SpawnContext object at 0x7f7c62b4c650>
        self       = <multiprocessing.queues.SimpleQueue object at 0x7f7c3ac69760>
/usr/lib/python3.12/multiprocessing/context.py:68: in Lock
    return Lock(ctx=self.get_context())
        Lock       = <class 'multiprocessing.synchronize.Lock'>
        self       = <multiprocessing.context.SpawnContext object at 0x7f7c62b4c650>
/usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
        ctx        = <multiprocessing.context.SpawnContext object at 0x7f7c62b4c650>
        self       = <Lock(owner=unknown)>
/usr/lib/python3.12/multiprocessing/synchronize.py:57: in __init__
    sl = self._semlock = _multiprocessing.SemLock(
E   PermissionError: [Errno 13] Permission denied
        ctx        = <multiprocessing.context.SpawnContext object at 0x7f7c62b4c650>
        i          = 0
        kind       = 1
        maxvalue   = 1
        self       = <Lock(owner=unknown)>
        unlink_now = False
        value      = 1
________________ TestDifferentialEvolutionSolver.test_parallel _________________
lib/python3.12/site-packages/scipy/optimize/tests/test__differential_evolution.py:717: in test_parallel
    with multiprocessing.Pool(2) as p, DifferentialEvolutionSolver(
        bounds     = [(0.0, 2.0), (0.0, 2.0)]
        self       = <scipy.optimize.tests.test__differential_evolution.TestDifferentialEvolutionSolver object at 0x7f7c526d4aa0>
/usr/lib/python3.12/multiprocessing/context.py:119: in Pool
    return Pool(processes, initializer, initargs, maxtasksperchild,
        Pool       = <class 'multiprocessing.pool.Pool'>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 2
        self       = <multiprocessing.context.DefaultContext object at 0x7f7c62b4c440>
/usr/lib/python3.12/multiprocessing/pool.py:191: in __init__
    self._setup_queues()
        context    = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 2
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/pool.py:346: in _setup_queues
    self._inqueue = self._ctx.SimpleQueue()
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue
    return SimpleQueue(ctx=self.get_context())
        SimpleQueue = <class 'multiprocessing.queues.SimpleQueue'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/queues.py:363: in __init__
    self._rlock = ctx.Lock()
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <multiprocessing.queues.SimpleQueue object at 0x7f7c3bc3a090>
/usr/lib/python3.12/multiprocessing/context.py:68: in Lock
    return Lock(ctx=self.get_context())
        Lock       = <class 'multiprocessing.synchronize.Lock'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <Lock(owner=unknown)>
/usr/lib/python3.12/multiprocessing/synchronize.py:57: in __init__
    sl = self._semlock = _multiprocessing.SemLock(
E   PermissionError: [Errno 13] Permission denied
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        i          = 0
        kind       = 1
        maxvalue   = 1
        self       = <Lock(owner=unknown)>
        unlink_now = True
        value      = 1
__________________ TestShgoArguments.test_19_parallelization ___________________
lib/python3.12/site-packages/scipy/optimize/tests/test__shgo.py:791: in test_19_parallelization
    with Pool(2) as p:
        self       = <scipy.optimize.tests.test__shgo.TestShgoArguments object at 0x7f7c5158ba10>
/usr/lib/python3.12/multiprocessing/context.py:119: in Pool
    return Pool(processes, initializer, initargs, maxtasksperchild,
        Pool       = <class 'multiprocessing.pool.Pool'>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 2
        self       = <multiprocessing.context.DefaultContext object at 0x7f7c62b4c440>
/usr/lib/python3.12/multiprocessing/pool.py:191: in __init__
    self._setup_queues()
        context    = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 2
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/pool.py:346: in _setup_queues
    self._inqueue = self._ctx.SimpleQueue()
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue
    return SimpleQueue(ctx=self.get_context())
        SimpleQueue = <class 'multiprocessing.queues.SimpleQueue'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/queues.py:363: in __init__
    self._rlock = ctx.Lock()
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <multiprocessing.queues.SimpleQueue object at 0x7f7c5158b770>
/usr/lib/python3.12/multiprocessing/context.py:68: in Lock
    return Lock(ctx=self.get_context())
        Lock       = <class 'multiprocessing.synchronize.Lock'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <Lock(owner=unknown)>
/usr/lib/python3.12/multiprocessing/synchronize.py:57: in __init__
    sl = self._semlock = _multiprocessing.SemLock(
E   PermissionError: [Errno 13] Permission denied
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        i          = 0
        kind       = 1
        maxvalue   = 1
        self       = <Lock(owner=unknown)>
        unlink_now = True
        value      = 1
____________________ TestFSolve.test_concurrent_no_gradient ____________________
lib/python3.12/site-packages/scipy/optimize/tests/test_minpack.py:211: in test_concurrent_no_gradient
    v = sequence_parallel([self.test_pressure_network_no_gradient] * 10)
        self       = <scipy.optimize.tests.test_minpack.TestFSolve object at 0x7f7c51456e70>
lib/python3.12/site-packages/scipy/optimize/tests/test_minpack.py:44: in sequence_parallel
    with ThreadPool(len(fs)) as pool:
        fs         = [<bound method TestFSolve.test_pressure_network_no_gradient of <scipy.optimize.tests.test_minpack.TestFSolve object at...lve.test_pressure_network_no_gradient of <scipy.optimize.tests.test_minpack.TestFSolve object at 0x7f7c51456e70>>, ...]
/usr/lib/python3.12/multiprocessing/pool.py:930: in __init__
    Pool.__init__(self, processes, initializer, initargs)
        initargs   = ()
        initializer = None
        processes  = 10
        self       = <multiprocessing.pool.ThreadPool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/pool.py:196: in __init__
    self._change_notifier = self._ctx.SimpleQueue()
        context    = None
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 10
        self       = <multiprocessing.pool.ThreadPool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue
    return SimpleQueue(ctx=self.get_context())
        SimpleQueue = <class 'multiprocessing.queues.SimpleQueue'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/queues.py:363: in __init__
    self._rlock = ctx.Lock()
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <multiprocessing.queues.SimpleQueue object at 0x7f7c3bbfcfb0>
/usr/lib/python3.12/multiprocessing/context.py:68: in Lock
    return Lock(ctx=self.get_context())
        Lock       = <class 'multiprocessing.synchronize.Lock'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <Lock(owner=unknown)>
/usr/lib/python3.12/multiprocessing/synchronize.py:57: in __init__
    sl = self._semlock = _multiprocessing.SemLock(
E   PermissionError: [Errno 13] Permission denied
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        i          = 0
        kind       = 1
        maxvalue   = 1
        self       = <Lock(owner=unknown)>
        unlink_now = True
        value      = 1
___________________ TestFSolve.test_concurrent_with_gradient ___________________
lib/python3.12/site-packages/scipy/optimize/tests/test_minpack.py:215: in test_concurrent_with_gradient
    v = sequence_parallel([self.test_pressure_network_with_gradient] * 10)
        self       = <scipy.optimize.tests.test_minpack.TestFSolve object at 0x7f7c51457020>
lib/python3.12/site-packages/scipy/optimize/tests/test_minpack.py:44: in sequence_parallel
    with ThreadPool(len(fs)) as pool:
        fs         = [<bound method TestFSolve.test_pressure_network_with_gradient of <scipy.optimize.tests.test_minpack.TestFSolve object ...e.test_pressure_network_with_gradient of <scipy.optimize.tests.test_minpack.TestFSolve object at 0x7f7c51457020>>, ...]
/usr/lib/python3.12/multiprocessing/pool.py:930: in __init__
    Pool.__init__(self, processes, initializer, initargs)
        initargs   = ()
        initializer = None
        processes  = 10
        self       = <multiprocessing.pool.ThreadPool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/pool.py:196: in __init__
    self._change_notifier = self._ctx.SimpleQueue()
        context    = None
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 10
        self       = <multiprocessing.pool.ThreadPool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue
    return SimpleQueue(ctx=self.get_context())
        SimpleQueue = <class 'multiprocessing.queues.SimpleQueue'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/queues.py:363: in __init__
    self._rlock = ctx.Lock()
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <multiprocessing.queues.SimpleQueue object at 0x7f7c312044d0>
/usr/lib/python3.12/multiprocessing/context.py:68: in Lock
    return Lock(ctx=self.get_context())
        Lock       = <class 'multiprocessing.synchronize.Lock'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <Lock(owner=unknown)>
/usr/lib/python3.12/multiprocessing/synchronize.py:57: in __init__
    sl = self._semlock = _multiprocessing.SemLock(
E   PermissionError: [Errno 13] Permission denied
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        i          = 0
        kind       = 1
        maxvalue   = 1
        self       = <Lock(owner=unknown)>
        unlink_now = True
        value      = 1
___________________ TestLeastSq.test_concurrent_no_gradient ____________________
lib/python3.12/site-packages/scipy/optimize/tests/test_minpack.py:399: in test_concurrent_no_gradient
    v = sequence_parallel([self.test_basic] * 10)
        self       = <scipy.optimize.tests.test_minpack.TestLeastSq object at 0x7f7c51b0cb00>
lib/python3.12/site-packages/scipy/optimize/tests/test_minpack.py:44: in sequence_parallel
    with ThreadPool(len(fs)) as pool:
        fs         = [<bound method TestLeastSq.test_basic of <scipy.optimize.tests.test_minpack.TestLeastSq object at 0x7f7c51b0cb00>>, <b...<bound method TestLeastSq.test_basic of <scipy.optimize.tests.test_minpack.TestLeastSq object at 0x7f7c51b0cb00>>, ...]
/usr/lib/python3.12/multiprocessing/pool.py:930: in __init__
    Pool.__init__(self, processes, initializer, initargs)
        initargs   = ()
        initializer = None
        processes  = 10
        self       = <multiprocessing.pool.ThreadPool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/pool.py:196: in __init__
    self._change_notifier = self._ctx.SimpleQueue()
        context    = None
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 10
        self       = <multiprocessing.pool.ThreadPool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue
    return SimpleQueue(ctx=self.get_context())
        SimpleQueue = <class 'multiprocessing.queues.SimpleQueue'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/queues.py:363: in __init__
    self._rlock = ctx.Lock()
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <multiprocessing.queues.SimpleQueue object at 0x7f7c312066c0>
/usr/lib/python3.12/multiprocessing/context.py:68: in Lock
    return Lock(ctx=self.get_context())
        Lock       = <class 'multiprocessing.synchronize.Lock'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <Lock(owner=unknown)>
/usr/lib/python3.12/multiprocessing/synchronize.py:57: in __init__
    sl = self._semlock = _multiprocessing.SemLock(
E   PermissionError: [Errno 13] Permission denied
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        i          = 0
        kind       = 1
        maxvalue   = 1
        self       = <Lock(owner=unknown)>
        unlink_now = True
        value      = 1
__________________ TestLeastSq.test_concurrent_with_gradient ___________________
lib/python3.12/site-packages/scipy/optimize/tests/test_minpack.py:403: in test_concurrent_with_gradient
    v = sequence_parallel([self.test_basic_with_gradient] * 10)
        self       = <scipy.optimize.tests.test_minpack.TestLeastSq object at 0x7f7c51b0cd10>
lib/python3.12/site-packages/scipy/optimize/tests/test_minpack.py:44: in sequence_parallel
    with ThreadPool(len(fs)) as pool:
        fs         = [<bound method TestLeastSq.test_basic_with_gradient of <scipy.optimize.tests.test_minpack.TestLeastSq object at 0x7f7c...TestLeastSq.test_basic_with_gradient of <scipy.optimize.tests.test_minpack.TestLeastSq object at 0x7f7c51b0cd10>>, ...]
/usr/lib/python3.12/multiprocessing/pool.py:930: in __init__
    Pool.__init__(self, processes, initializer, initargs)
        initargs   = ()
        initializer = None
        processes  = 10
        self       = <multiprocessing.pool.ThreadPool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/pool.py:196: in __init__
    self._change_notifier = self._ctx.SimpleQueue()
        context    = None
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 10
        self       = <multiprocessing.pool.ThreadPool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue
    return SimpleQueue(ctx=self.get_context())
        SimpleQueue = <class 'multiprocessing.queues.SimpleQueue'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/queues.py:363: in __init__
    self._rlock = ctx.Lock()
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <multiprocessing.queues.SimpleQueue object at 0x7f7c312071d0>
/usr/lib/python3.12/multiprocessing/context.py:68: in Lock
    return Lock(ctx=self.get_context())
        Lock       = <class 'multiprocessing.synchronize.Lock'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <Lock(owner=unknown)>
/usr/lib/python3.12/multiprocessing/synchronize.py:57: in __init__
    sl = self._semlock = _multiprocessing.SemLock(
E   PermissionError: [Errno 13] Permission denied
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        i          = 0
        kind       = 1
        maxvalue   = 1
        self       = <Lock(owner=unknown)>
        unlink_now = True
        value      = 1
____________________________ TestBrute.test_workers ____________________________
lib/python3.12/site-packages/scipy/optimize/tests/test_optimize.py:2561: in test_workers
    resbrute1 = optimize.brute(brute_func, self.rranges, args=self.params,
        resbrute   = (array([-1.  ,  1.75]), np.float64(-2.8923637137222027), array([[[-4.  , -4.  , -4.  , ..., -4.  , -4.  , -4.  ],
    ...   [ 99.125     ,  90.62499998,  82.99999992, ..., 207.875     ,
        224.75      , 242.5       ]], shape=(32, 32)))
        self       = <scipy.optimize.tests.test_optimize.TestBrute object at 0x7f7c50de3050>
lib/python3.12/site-packages/scipy/optimize/_optimize.py:3797: in brute
    with MapWrapper(pool=workers) as mapper:
        N          = 2
        Ns         = 20
        args       = (2, 3, 7, 8, 9, 10, ...)
        disp       = False
        finish     = None
        full_output = True
        func       = <function brute_func at 0x7f7c51b454e0>
        grid       = array([[-4.  , -4.  ],
       [-4.  , -3.75],
       [-4.  , -3.5 ],
       ...,
       [ 3.75,  3.25],
       [ 3.75,  3.5 ],
       [ 3.75,  3.75]], shape=(1024, 2))
        inpt_shape = (2, 32, 32)
        k          = 1
        lrange     = [slice(-4, 4, 0.25), slice(-4, 4, 0.25)]
        ranges     = (slice(-4, 4, 0.25), slice(-4, 4, 0.25))
        workers    = 2
        wrapped_func = <scipy.optimize._optimize._Brute_Wrapper object at 0x7f7c30dbb4a0>
lib/python3.12/site-packages/scipy/_lib/_util.py:480: in __init__
    self.pool = Pool(processes=int(pool))
        Pool       = <bound method BaseContext.Pool of <multiprocessing.context.DefaultContext object at 0x7f7c62b4c440>>
        pool       = 2
        self       = <scipy._lib._util.MapWrapper object at 0x7f7c30dbb590>
/usr/lib/python3.12/multiprocessing/context.py:119: in Pool
    return Pool(processes, initializer, initargs, maxtasksperchild,
        Pool       = <class 'multiprocessing.pool.Pool'>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 2
        self       = <multiprocessing.context.DefaultContext object at 0x7f7c62b4c440>
/usr/lib/python3.12/multiprocessing/pool.py:191: in __init__
    self._setup_queues()
        context    = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 2
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/pool.py:346: in _setup_queues
    self._inqueue = self._ctx.SimpleQueue()
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue
    return SimpleQueue(ctx=self.get_context())
        SimpleQueue = <class 'multiprocessing.queues.SimpleQueue'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/queues.py:363: in __init__
    self._rlock = ctx.Lock()
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <multiprocessing.queues.SimpleQueue object at 0x7f7c2f006750>
/usr/lib/python3.12/multiprocessing/context.py:68: in Lock
    return Lock(ctx=self.get_context())
        Lock       = <class 'multiprocessing.synchronize.Lock'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <Lock(owner=unknown)>
/usr/lib/python3.12/multiprocessing/synchronize.py:57: in __init__
    sl = self._semlock = _multiprocessing.SemLock(
E   PermissionError: [Errno 13] Permission denied
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        i          = 0
        kind       = 1
        maxvalue   = 1
        self       = <Lock(owner=unknown)>
        unlink_now = True
        value      = 1
_______________________ TestConvolve2d.test_large_array ________________________
lib/python3.12/site-packages/scipy/_lib/_testutils.py:201: in check_free_memory
    mem_free = _parse_size(os.environ['SCIPY_AVAILABLE_MEM'])
E   KeyError: 'SCIPY_AVAILABLE_MEM'
        free_mb    = 4299.25496
        pytest     = <module 'pytest' from '/usr/lib/python3.12/site-packages/pytest/__init__.py'>

During handling of the above exception, another exception occurred:
lib/python3.12/site-packages/scipy/signal/tests/test_signaltools.py:437: in test_large_array
    _testutils.check_free_memory(2 * n * 1001 * np.int64().itemsize / 1e6)
        n          = 268435
        self       = <scipy.signal.tests.test_signaltools.TestConvolve2d object at 0x7f7c5198cbf0>
lib/python3.12/site-packages/scipy/_lib/_testutils.py:205: in check_free_memory
    mem_free = _get_mem_available()
        free_mb    = 4299.25496
        pytest     = <module 'pytest' from '/usr/lib/python3.12/site-packages/pytest/__init__.py'>
lib/python3.12/site-packages/scipy/_lib/_testutils.py:242: in _get_mem_available
    with open('/proc/meminfo') as f:
E   FileNotFoundError: [Errno 2] No such file or directory: '/proc/meminfo'
        info       = {}
______________ TestConstructUtils.test_concatenate_int32_overflow ______________
lib/python3.12/site-packages/scipy/_lib/_testutils.py:201: in check_free_memory
    mem_free = _parse_size(os.environ['SCIPY_AVAILABLE_MEM'])
E   KeyError: 'SCIPY_AVAILABLE_MEM'
        free_mb    = 30000
        pytest     = <module 'pytest' from '/usr/lib/python3.12/site-packages/pytest/__init__.py'>

During handling of the above exception, another exception occurred:
lib/python3.12/site-packages/scipy/sparse/tests/test_construct.py:591: in test_concatenate_int32_overflow
    check_free_memory(30000)
        self       = <scipy.sparse.tests.test_construct.TestConstructUtils object at 0x7f7c4c9ae840>
lib/python3.12/site-packages/scipy/_lib/_testutils.py:205: in check_free_memory
    mem_free = _get_mem_available()
        free_mb    = 30000
        pytest     = <module 'pytest' from '/usr/lib/python3.12/site-packages/pytest/__init__.py'>
lib/python3.12/site-packages/scipy/_lib/_testutils.py:242: in _get_mem_available
    with open('/proc/meminfo') as f:
E   FileNotFoundError: [Errno 2] No such file or directory: '/proc/meminfo'
        info       = {}
______________________________ test_nnz_overflow _______________________________
lib/python3.12/site-packages/scipy/_lib/_testutils.py:201: in check_free_memory
    mem_free = _parse_size(os.environ['SCIPY_AVAILABLE_MEM'])
E   KeyError: 'SCIPY_AVAILABLE_MEM'
        free_mb    = 19327.852832
        pytest     = <module 'pytest' from '/usr/lib/python3.12/site-packages/pytest/__init__.py'>

During handling of the above exception, another exception occurred:
lib/python3.12/site-packages/scipy/sparse/tests/test_sparsetools.py:77: in test_nnz_overflow
    check_free_memory((4 + 4 + 1) * nnz / 1e6 + 0.5)
        nnz        = 2147483648
lib/python3.12/site-packages/scipy/_lib/_testutils.py:205: in check_free_memory
    mem_free = _get_mem_available()
        free_mb    = 19327.852832
        pytest     = <module 'pytest' from '/usr/lib/python3.12/site-packages/pytest/__init__.py'>
lib/python3.12/site-packages/scipy/_lib/_testutils.py:242: in _get_mem_available
    with open('/proc/meminfo') as f:
E   FileNotFoundError: [Errno 2] No such file or directory: '/proc/meminfo'
        info       = {}
___________________________ TestMGCStat.test_workers ___________________________
lib/python3.12/site-packages/scipy/stats/tests/test_stats.py:8124: in test_workers
    stat, pvalue, _ = stats.multiscale_graphcorr(x, y, workers=2)
        self       = <scipy.stats.tests.test_stats.TestMGCStat object at 0x7f7c474eeb70>
        x          = array([[-0.50839153],
       [ 0.19285721],
       [-0.28241674],
       [-0.24217979],
       [-0.95109726],
       [...668704],
       [ 0.40345755],
       [-0.56698328],
       [-0.29866078],
       [ 0.70514011],
       [ 0.0820608 ]])
        y          = array([[-0.32567924],
       [ 0.38329104],
       [-0.00760346],
       [-0.19801849],
       [-0.77266736],
       [...717168],
       [ 0.4209879 ],
       [-0.54418798],
       [-0.19055983],
       [ 0.99547725],
       [ 0.37615892]])
lib/python3.12/site-packages/scipy/stats/_stats_py.py:6442: in multiscale_graphcorr
    pvalue, null_dist = _perm_test(x, y, stat, reps=reps, workers=workers,
        compute_distance = <function _euclidean_dist at 0x7f7c5d62a700>
        is_twosamp = False
        nx         = 100
        ny         = 100
        opt_scale  = [100, 100]
        px         = 1
        py         = 1
        random_state = None
        reps       = 1000
        stat       = np.float64(0.9716404055960498)
        stat_dict  = {'opt_scale': [100, 100], 'stat_mgc_map': array([[0.        , 0.        , 0.        , ..., 0.        , 0.        ,
   ...042],
       [0.        , 0.17683998, 0.2315254 , ..., 0.97090398, 0.97130201,
        0.97164041]], shape=(100, 100))}
        stat_mgc_map = array([[0.        , 0.        , 0.        , ..., 0.        , 0.        ,
        0.        ],
       [0.        , 0.20...7042],
       [0.        , 0.17683998, 0.2315254 , ..., 0.97090398, 0.97130201,
        0.97164041]], shape=(100, 100))
        workers    = 2
        x          = array([[0.        , 0.70124874, 0.22597479, ..., 0.20973076, 1.21353164,
        0.59045233],
       [0.70124874, 0.  ...7932],
       [0.59045233, 0.11079641, 0.36447754, ..., 0.38072157, 0.62307932,
        0.        ]], shape=(100, 100))
        y          = array([[0.        , 0.70897028, 0.31807579, ..., 0.13511942, 1.32115649,
        0.70183816],
       [0.70897028, 0.  ...1833],
       [0.70183816, 0.00713212, 0.38376238, ..., 0.56671875, 0.61931833,
        0.        ]], shape=(100, 100))
lib/python3.12/site-packages/scipy/stats/_stats_py.py:6156: in _perm_test
    with MapWrapper(workers) as mapwrapper:
        parallelp  = <scipy.stats._stats_py._ParallelP object at 0x7f7b9e0d5b80>
        random_state = RandomState(MT19937) at 0x7F7C632E9B40
        random_states = [RandomState(MT19937) at 0x7F7B9FE90F40, RandomState(MT19937) at 0x7F7B9FE91140, RandomState(MT19937) at 0x7F7B9FE9124...mState(MT19937) at 0x7F7B9FE91340, RandomState(MT19937) at 0x7F7B9FE91440, RandomState(MT19937) at 0x7F7B9FE91540, ...]
        reps       = 1000
        stat       = np.float64(0.9716404055960498)
        workers    = 2
        x          = array([[0.        , 0.70124874, 0.22597479, ..., 0.20973076, 1.21353164,
        0.59045233],
       [0.70124874, 0.  ...7932],
       [0.59045233, 0.11079641, 0.36447754, ..., 0.38072157, 0.62307932,
        0.        ]], shape=(100, 100))
        y          = array([[0.        , 0.70897028, 0.31807579, ..., 0.13511942, 1.32115649,
        0.70183816],
       [0.70897028, 0.  ...1833],
       [0.70183816, 0.00713212, 0.38376238, ..., 0.56671875, 0.61931833,
        0.        ]], shape=(100, 100))
lib/python3.12/site-packages/scipy/_lib/_util.py:480: in __init__
    self.pool = Pool(processes=int(pool))
        Pool       = <bound method BaseContext.Pool of <multiprocessing.context.DefaultContext object at 0x7f7c62b4c440>>
        pool       = 2
        self       = <scipy._lib._util.MapWrapper object at 0x7f7b9e091130>
/usr/lib/python3.12/multiprocessing/context.py:119: in Pool
    return Pool(processes, initializer, initargs, maxtasksperchild,
        Pool       = <class 'multiprocessing.pool.Pool'>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 2
        self       = <multiprocessing.context.DefaultContext object at 0x7f7c62b4c440>
/usr/lib/python3.12/multiprocessing/pool.py:191: in __init__
    self._setup_queues()
        context    = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        initargs   = ()
        initializer = None
        maxtasksperchild = None
        processes  = 2
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/pool.py:346: in _setup_queues
    self._inqueue = self._ctx.SimpleQueue()
        self       = <multiprocessing.pool.Pool state=INIT pool_size=0>
/usr/lib/python3.12/multiprocessing/context.py:113: in SimpleQueue
    return SimpleQueue(ctx=self.get_context())
        SimpleQueue = <class 'multiprocessing.queues.SimpleQueue'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/queues.py:363: in __init__
    self._rlock = ctx.Lock()
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <multiprocessing.queues.SimpleQueue object at 0x7f7b9e091160>
/usr/lib/python3.12/multiprocessing/context.py:68: in Lock
    return Lock(ctx=self.get_context())
        Lock       = <class 'multiprocessing.synchronize.Lock'>
        self       = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
/usr/lib/python3.12/multiprocessing/synchronize.py:169: in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        self       = <Lock(owner=unknown)>
/usr/lib/python3.12/multiprocessing/synchronize.py:57: in __init__
    sl = self._semlock = _multiprocessing.SemLock(
E   PermissionError: [Errno 13] Permission denied
        ctx        = <multiprocessing.context.ForkContext object at 0x7f7c62b4c800>
        i          = 0
        kind       = 1
        maxvalue   = 1
        self       = <Lock(owner=unknown)>
        unlink_now = True
        value      = 1
=========================== short test summary info ============================
FAILED lib/python3.12/site-packages/scipy/_lib/tests/test__testutils.py::test__mem_available
FAILED lib/python3.12/site-packages/scipy/_lib/tests/test__util.py::test_pool
FAILED lib/python3.12/site-packages/scipy/_lib/tests/test__util.py::test_mapwrapper_parallel
FAILED lib/python3.12/site-packages/scipy/fft/tests/test_basic.py::test_multiprocess[fft-numpy]
FAILED lib/python3.12/site-packages/scipy/fft/tests/test_basic.py::test_multiprocess[ifft-numpy]
FAILED lib/python3.12/site-packages/scipy/fft/tests/test_basic.py::test_multiprocess[rfft-numpy]
FAILED lib/python3.12/site-packages/scipy/fft/tests/test_basic.py::test_multiprocess[irfft-numpy]
FAILED lib/python3.12/site-packages/scipy/fft/tests/test_multithreading.py::test_mixed_threads_processes
FAILED lib/python3.12/site-packages/scipy/integrate/tests/test__quad_vec.py::test_quad_vec_pool
FAILED lib/python3.12/site-packages/scipy/integrate/tests/test__quad_vec.py::test_quad_vec_pool_args[1-2]
FAILED lib/python3.12/site-packages/scipy/integrate/tests/test__quad_vec.py::test_quad_vec_pool_args[1-extra_args1]
FAILED lib/python3.12/site-packages/scipy/integrate/tests/test__quad_vec.py::test_quad_vec_pool_args[10-2]
FAILED lib/python3.12/site-packages/scipy/integrate/tests/test__quad_vec.py::test_quad_vec_pool_args[10-extra_args1]
FAILED lib/python3.12/site-packages/scipy/optimize/tests/test__differential_evolution.py::TestDifferentialEvolutionSolver::test_immediate_updating
FAILED lib/python3.12/site-packages/scipy/optimize/tests/test__differential_evolution.py::TestDifferentialEvolutionSolver::test_parallel
FAILED lib/python3.12/site-packages/scipy/optimize/tests/test__shgo.py::TestShgoArguments::test_19_parallelization
FAILED lib/python3.12/site-packages/scipy/optimize/tests/test_minpack.py::TestFSolve::test_concurrent_no_gradient
FAILED lib/python3.12/site-packages/scipy/optimize/tests/test_minpack.py::TestFSolve::test_concurrent_with_gradient
FAILED lib/python3.12/site-packages/scipy/optimize/tests/test_minpack.py::TestLeastSq::test_concurrent_no_gradient
FAILED lib/python3.12/site-packages/scipy/optimize/tests/test_minpack.py::TestLeastSq::test_concurrent_with_gradient
FAILED lib/python3.12/site-packages/scipy/optimize/tests/test_optimize.py::TestBrute::test_workers
FAILED lib/python3.12/site-packages/scipy/signal/tests/test_signaltools.py::TestConvolve2d::test_large_array
FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_construct.py::TestConstructUtils::test_concatenate_int32_overflow
FAILED lib/python3.12/site-packages/scipy/sparse/tests/test_sparsetools.py::test_nnz_overflow
FAILED lib/python3.12/site-packages/scipy/stats/tests/test_stats.py::TestMGCStat::test_workers
ERROR lib/python3.12/site-packages/scipy/sparse/tests/test_sparsetools.py::TestInt32Overflow::test_coo_todense
ERROR lib/python3.12/site-packages/scipy/sparse/tests/test_sparsetools.py::TestInt32Overflow::test_matvecs
ERROR lib/python3.12/site-packages/scipy/sparse/tests/test_sparsetools.py::TestInt32Overflow::test_dia_matvec
ERROR lib/python3.12/site-packages/scipy/sparse/tests/test_sparsetools.py::TestInt32Overflow::test_bsr_1_block[matvec]
ERROR lib/python3.12/site-packages/scipy/sparse/tests/test_sparsetools.py::TestInt32Overflow::test_bsr_1_block[diagonal]
ERROR lib/python3.12/site-packages/scipy/sparse/tests/test_sparsetools.py::TestInt32Overflow::test_bsr_1_block[sort_indices]
ERROR lib/python3.12/site-packages/scipy/sparse/tests/test_sparsetools.py::TestInt32Overflow::test_bsr_n_block[matvec]
ERROR lib/python3.12/site-packages/scipy/sparse/tests/test_sparsetools.py::TestInt32Overflow::test_bsr_n_block[diagonal]
ERROR lib/python3.12/site-packages/scipy/sparse/tests/test_sparsetools.py::TestInt32Overflow::test_bsr_n_block[sort_indices]
= 25 failed, 61403 passed, 2619 skipped, 244 xfailed, 15 xpassed, 9 errors in 796.02s (0:13:16) =
 WARNING: Maximum dimension of Krylov subspace exceeded prior to convergence. Try increasing KMAX.
 neig =            0