Process 511122: {venv location}/bin/python {venv location}/bin/quasar
Python v3.11.5 ({python installation}/bin/python3.11)

Thread 511122 (idle): "MainThread"
    exec (orangecanvas/application/application.py:173)
        Arguments:
            self: <CanvasApplication at 0x7f027e159870>
    run (orangecanvas/main.py:233)
        Arguments:
            self: <OMain at 0x7f027f79b890>
            argv: ["{venv location}/bin/quasar"]
        Locals:
            stack: <ExitStack at 0x7f027e27fb90>
            record_path: <function at 0x7f0281210180>
            registry: <WidgetRegistry at 0x7f027d95d2d0>
            open_request: <function at 0x7f01f4353ba0>
    run (Orange/canvas/__main__.py:353)
        Arguments:
            self: <OMain at 0x7f027f79b890>
            argv: None
    main (Orange/canvas/__main__.py:463)
        Arguments:
            argv: None
    main (quasar/launcher/__init__.py:104)
        Arguments:
            self: <Launcher at 0x7f027e160690>
        Locals:
            main: <function at 0x7f027d93dda0>
    launch (quasar/launcher/__init__.py:51)
        Arguments:
            self: <Launcher at 0x7f027e160690>
    main (quasar/__main__.py:6)
    <module> (quasar:8)
Thread 511230 (idle): "ThreadPoolExecutor-6_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f01977e1620>
            work_queue: <_queue.SimpleQueue at 0x7f01978a92b0>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f01b4688510>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f01b4688510>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f01b4688510>
Thread 511231 (idle): "ThreadPoolExecutor-17_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f019761b150>
            work_queue: <_queue.SimpleQueue at 0x7f01977e1b20>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f0197641810>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f0197641810>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f0197641810>
Thread 511232 (idle): "ThreadPoolExecutor-28_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f0197688630>
            work_queue: <_queue.SimpleQueue at 0x7f019761b6f0>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f0197690250>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f0197690250>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f0197690250>
Thread 511233 (idle): "ThreadPoolExecutor-39_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f01976c20c0>
            work_queue: <_queue.SimpleQueue at 0x7f0197689620>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f01976c76d0>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f01976c76d0>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f01976c76d0>
Thread 511234 (idle): "ThreadPoolExecutor-50_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f01976fba10>
            work_queue: <_queue.SimpleQueue at 0x7f01976c3650>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f0195d12990>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f0195d12990>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f0195d12990>
Thread 511235 (idle): "ThreadPoolExecutor-61_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f0195d61710>
            work_queue: <_queue.SimpleQueue at 0x7f01978f6b60>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f0195d6e090>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f0195d6e090>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f0195d6e090>
Thread 511236 (idle): "ThreadPoolExecutor-5_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f027e14f100>
            work_queue: <_queue.SimpleQueue at 0x7f0197eed670>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f017ff42390>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f017ff42390>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f017ff42390>
Thread 511237 (idle): "ThreadPoolExecutor-1_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f027e14eb10>
            work_queue: <_queue.SimpleQueue at 0x7f01d416a480>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f017ff44310>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f017ff44310>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f017ff44310>
Thread 511238 (idle): "ThreadPoolExecutor-8_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f00d7e86750>
            work_queue: <_queue.SimpleQueue at 0x7f01978f5fd0>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f017ff40bd0>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f017ff40bd0>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f017ff40bd0>
Thread 511239 (idle): "ThreadPoolExecutor-12_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f00d4471080>
            work_queue: <_queue.SimpleQueue at 0x7f01978a8ae0>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f01941c7cd0>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f01941c7cd0>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f01941c7cd0>
Thread 511240 (idle): "ThreadPoolExecutor-16_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f00d4471440>
            work_queue: <_queue.SimpleQueue at 0x7f0197773f60>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f00d43b9490>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f00d43b9490>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f00d43b9490>
Thread 511479 (idle): "ThreadPoolExecutor-19_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f00d7e85da0>
            work_queue: <_queue.SimpleQueue at 0x7f01977e1df0>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f01977dd250>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f01977dd250>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f01977dd250>
Thread 511480 (idle): "ThreadPoolExecutor-23_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f00d4471b20>
            work_queue: <_queue.SimpleQueue at 0x7f01977e25c0>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f02763a8750>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f02763a8750>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f02763a8750>
Thread 511481 (idle): "ThreadPoolExecutor-27_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f00d44730b0>
            work_queue: <_queue.SimpleQueue at 0x7f01976187c0>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f027642d890>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f027642d890>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f027642d890>
Thread 511482 (idle): "ThreadPoolExecutor-30_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f00d4465b20>
            work_queue: <_queue.SimpleQueue at 0x7f0197658180>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f02762c6990>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f02762c6990>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f02762c6990>
Thread 511514 (idle): "ThreadPoolExecutor-34_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f00d4473e70>
            work_queue: <_queue.SimpleQueue at 0x7f01976585e0>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f027635e7d0>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f027635e7d0>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f027635e7d0>
Thread 511515 (idle): "ThreadPoolExecutor-38_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f00d44736a0>
            work_queue: <_queue.SimpleQueue at 0x7f0197659e40>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f02761df490>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f02761df490>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f02761df490>
Thread 511600 (idle): "ThreadPoolExecutor-41_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f01d4262c50>
            work_queue: <_queue.SimpleQueue at 0x7f0197689f80>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f01941b9b90>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f01941b9b90>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f01941b9b90>
Thread 511601 (idle): "ThreadPoolExecutor-45_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f01945e6570>
            work_queue: <_queue.SimpleQueue at 0x7f019768a3e0>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f0275fabe50>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f0275fabe50>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f0275fabe50>
Thread 511602 (idle): "ThreadPoolExecutor-49_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f02760ae750>
            work_queue: <_queue.SimpleQueue at 0x7f019768b920>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f0275fb0150>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f0275fb0150>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f0275fb0150>
Thread 511603 (idle): "ThreadPoolExecutor-52_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f02760af740>
            work_queue: <_queue.SimpleQueue at 0x7f01976c2750>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f027604ed90>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f027604ed90>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f027604ed90>
Thread 511604 (idle): "ThreadPoolExecutor-56_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f02760af150>
            work_queue: <_queue.SimpleQueue at 0x7f01976c3a60>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f0275d64c10>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f0275d64c10>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f0275d64c10>
Thread 511605 (idle): "ThreadPoolExecutor-60_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f02760ae9d0>
            work_queue: <_queue.SimpleQueue at 0x7f01976f9670>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f0275d65110>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f0275d65110>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f0275d65110>
Thread 511623 (idle): "ThreadPoolExecutor-63_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f0276059120>
            work_queue: <_queue.SimpleQueue at 0x7f0195d24450>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f0275e08a90>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f0275e08a90>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f0275e08a90>
Thread 511624 (idle): "ThreadPoolExecutor-67_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f0276058bd0>
            work_queue: <_queue.SimpleQueue at 0x7f0195d252b0>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f00d42fa4d0>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f00d42fa4d0>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f00d42fa4d0>
Thread 511625 (idle): "ThreadPoolExecutor-71_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f02760585e0>
            work_queue: <_queue.SimpleQueue at 0x7f0195d26e30>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7f00d42fa9d0>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7f00d42fa9d0>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7f00d42fa9d0>
Thread 512036 (idle): "ThreadPoolExecutor-77_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7f0016c93c90>
            work_queue: <_queue.SimpleQueue at 0x7f0016c910d0>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7eff58b54450>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7eff58b54450>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7eff58b54450>
Thread 512037 (idle): "ThreadPoolExecutor-73_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7eff58b68270>
            work_queue: <_queue.SimpleQueue at 0x7f0016f06b10>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7eff58b548d0>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7eff58b548d0>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7eff58b548d0>
Thread 512056 (idle): "ThreadPoolExecutor-82_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7eff589a9e90>
            work_queue: <_queue.SimpleQueue at 0x7eff58b6b1f0>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7eff589c1f50>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7eff589c1f50>
    _bootstrap (threading.py:995)
        Arguments:
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Thread 512057 (idle): "ThreadPoolExecutor-78_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7eff589aa3e0>
            work_queue: <_queue.SimpleQueue at 0x7eff58b69a80>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7eff589c1010>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7eff589c1010>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7eff589c1010>
Thread 512085 (idle): "ThreadPoolExecutor-87_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7eff346691c0>
            work_queue: <_queue.SimpleQueue at 0x7eff346465c0>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7eff346807d0>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7eff346807d0>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7eff346807d0>
Thread 512086 (idle): "ThreadPoolExecutor-83_0"
    _worker (concurrent/futures/thread.py:81)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7eff34669760>
            work_queue: <_queue.SimpleQueue at 0x7eff34644360>
            initializer: None
            initargs: ()
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7eff34680a90>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7eff34680a90>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7eff34680a90>
Thread 512113 (idle): "ThreadPoolExecutor-72_0"
    _joinrealpath (<frozen posixpath>:451)
        Arguments:
            path: "/usr/lib64"
            rest: ""
            strict: False
            seen: {"/usr/lib64/libz.so.1": None}
        Locals:
            sep: "/"
            curdir: "."
            pardir: ".."
            name: "libz.so.1.2.11"
            _: ""
            newpath: "/usr/lib64/libz.so.1.2.11"
    _joinrealpath (<frozen posixpath>:476)
        Arguments:
            path: "/usr/lib64"
            rest: ""
            strict: False
            seen: {"/usr/lib64/libz.so.1": None}
        Locals:
            sep: "/"
            curdir: "."
            pardir: ".."
            name: "libz.so.1"
            _: ""
            newpath: "/usr/lib64/libz.so.1"
            st: (41471, 744780, 48, 1, 408, 408, 14, 1589637137, 1589637137, 1589637137)
            is_link: True
    realpath (<frozen posixpath>:416)
        Arguments:
            filename: "/usr/lib64/libz.so.1"
        Locals:
            strict: False
    _realpath (threadpoolctl.py:548)
        Arguments:
            filepath: "/usr/lib64/libz.so.1"
    _make_controller_from_path (threadpoolctl.py:1134)
        Arguments:
            self: <ThreadpoolController at 0x7f0016f326d0>
            filepath: "/usr/lib64/libz.so.1"
    match_library_callback (threadpoolctl.py:1005)
        Arguments:
            info: <LP__dl_phdr_info at 0x7eff243bb1d0>
            size: 64
            data: <bytes at 0x7f0291aed048>
        Locals:
            filepath: "/usr/lib64/libz.so.1"
    _find_libraries_with_dl_iterate_phdr (threadpoolctl.py:1017)
        Arguments:
            self: <cell at 0x7f0016f182b0>
        Locals:
            libc: <CDLL at 0x7eff1ff9d850>
            match_library_callback: <function at 0x7eff34673060>
            c_func_signature: <_ctypes.PyCFuncPtrType at 0x7efb2458c1b0>
            c_match_library_callback: <CFunctionType at 0x7eff3464b6c0>
            data: <c_char_p at 0x7eff243baf90>
    _load_libraries (threadpoolctl.py:976)
        Arguments:
            self: <ThreadpoolController at 0x7f0016f326d0>
    __init__ (threadpoolctl.py:818)
        Arguments:
            self: <ThreadpoolController at 0x7f0016f326d0>
    _get_threadpool_controller (sklearn/utils/fixes.py:62)
    threadpool_limits (sklearn/utils/fixes.py:68)
        Arguments:
            limits: 1
            user_api: "blas"
    _kmeans_single_lloyd (sklearn/cluster/_kmeans.py:688)
        Arguments:
            X: <numpy.ndarray at 0x7eff2447b630>
            sample_weight: <numpy.ndarray at 0x7eff347e67f0>
            centers_init: <numpy.ndarray at 0x7eff3c104510>
            max_iter: 300
            verbose: 0
            tol: <numpy.float64 at 0x7eff24483530>
            n_threads: 32
        Locals:
            n_clusters: 2
            centers: <numpy.ndarray at 0x7eff3c104510>
            centers_new: <numpy.ndarray at 0x7f0016d0bc90>
            labels: <numpy.ndarray at 0x7eff24574750>
            labels_old: <numpy.ndarray at 0x7eff3c1043f0>
            weight_in_clusters: <numpy.ndarray at 0x7eff1ffdcf90>
            center_shift: <numpy.ndarray at 0x7eff1ffdd0b0>
            lloyd_iter: <fused_cython_function at 0x7f0195da3920>
            _inertia: <fused_cython_function at 0x7f0195da2420>
            strict_convergence: False
    fit (sklearn/cluster/_kmeans.py:1526)
        Arguments:
            self: <KMeans at 0x7eff1fe6f810>
            X: <numpy.ndarray at 0x7eff2447b630>
            y: None
            sample_weight: <numpy.ndarray at 0x7eff347e67f0>
        Locals:
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecaf40>
            init: "k-means++"
            init_is_array_like: False
            X_mean: <numpy.ndarray at 0x7eff347e6790>
            x_squared_norms: <numpy.ndarray at 0x7eff24574db0>
            kmeans_single: <function at 0x7f0195db8cc0>
            best_inertia: None
            best_labels: None
            i: 0
            centers_init: <numpy.ndarray at 0x7eff3c104510>
    wrapper (sklearn/base.py:1151)
        Arguments:
            estimator: <KMeans at 0x7eff1fe6f810>
        Locals:
            args: (<numpy.ndarray at 0x7eff2447b510>)
            kwargs: {}
            global_skip_validation: False
            partial_fit_and_fitted: False
    fit (Orange/clustering/clustering.py:95)
        Arguments:
            self: <KMeans at 0x7eff1fe6e990>
            X: <numpy.ndarray at 0x7eff2447b510>
            y: None
    fit_storage (Orange/clustering/clustering.py:92)
        Arguments:
            self: <KMeans at 0x7eff1fe6e990>
            data: <Table at 0x7eff243b5850>
    get_model (Orange/clustering/clustering.py:85)
        Arguments:
            self: <KMeans at 0x7eff1fe6e990>
            data: <Table at 0x7eff243b5850>
        Locals:
            orig_domain: <Domain at 0x7eff243add50>
    _compute_clustering (Orange/widgets/unsupervised/owkmeans.py:294)
        Arguments:
            data: <Table at 0x7eff243b5850>
            k: 2
            init: "k-means++"
            n_init: 10
            max_iter: 300
            random_state: 0
    run (Orange/widgets/utils/concurrent.py:175)
        Arguments:
            self: <FutureRunnable at 0x7eff24562a70>
        Locals:
            func: <function at 0x7f01941918a0>
            args: ()
            kwargs: {"data": <Table at 0x7eff243b5850>, "k": 2, "init": "k-means++", "n_init": 10, "max_iter": 300, "random_state": 0}
    run (concurrent/futures/thread.py:58)
        Arguments:
            self: <_WorkItem at 0x7eff1fe6f610>
    _worker (concurrent/futures/thread.py:83)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7eff3466b880>
            work_queue: <_queue.SimpleQueue at 0x7f0195dbe070>
            initializer: None
            initargs: ()
        Locals:
            work_item: <_WorkItem at 0x7eff1fe6f610>
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7eff1fe6fc10>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7eff1fe6fc10>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7eff1fe6fc10>
Thread 512114 (idle): "ThreadPoolExecutor-72_1"
    safe_sparse_dot (sklearn/utils/extmath.py:193)
        Arguments:
            a: <numpy.ndarray at 0x7eff1ffdca50>
            b: <numpy.ndarray at 0x7eff1ffdd410>
        Locals:
            dense_output: True
    _euclidean_distances (sklearn/metrics/pairwise.py:379)
        Arguments:
            X: <numpy.ndarray at 0x7eff1ffdca50>
            Y: <numpy.ndarray at 0x7eff2447bf30>
            X_norm_squared: None
            Y_norm_squared: <numpy.ndarray at 0x7eff24574e10>
            squared: True
        Locals:
            XX: <numpy.ndarray at 0x7eff1ffdc0f0>
            YY: <numpy.ndarray at 0x7eff1ffdc150>
    _kmeans_plusplus (sklearn/cluster/_kmeans.py:255)
        Arguments:
            X: <numpy.ndarray at 0x7eff2447bf30>
            n_clusters: 3
            x_squared_norms: <numpy.ndarray at 0x7eff24574e10>
            sample_weight: <numpy.ndarray at 0x7eff347e6850>
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecad40>
            n_local_trials: 3
        Locals:
            n_samples: 239016
            n_features: 1461
            centers: <numpy.ndarray at 0x7eff24574810>
            center_id: 131175
            indices: <numpy.ndarray at 0x7eff24574690>
            closest_dist_sq: <numpy.ndarray at 0x7f0016d09bf0>
            current_pot: <numpy.ndarray at 0x7eff245749f0>
            c: 2
            rand_vals: <numpy.ndarray at 0x7eff1ffdcc90>
            candidate_ids: <numpy.ndarray at 0x7f0016f2c750>
            distance_to_candidates: <numpy.ndarray at 0x7eff1ffdccf0>
            candidates_pot: <numpy.ndarray at 0x7eff1ffdcdb0>
            best_candidate: <numpy.int64 at 0x7eff24483050>
    _init_centroids (sklearn/cluster/_kmeans.py:1018)
        Arguments:
            self: <KMeans at 0x7eff1fe6eb10>
            X: <numpy.ndarray at 0x7eff2447bf30>
            x_squared_norms: <numpy.ndarray at 0x7eff24574e10>
            init: "k-means++"
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecad40>
            init_size: None
            n_centroids: None
            sample_weight: <numpy.ndarray at 0x7eff347e6850>
        Locals:
            n_samples: 239016
            n_clusters: 3
    fit (sklearn/cluster/_kmeans.py:1515)
        Arguments:
            self: <KMeans at 0x7eff1fe6eb10>
            X: <numpy.ndarray at 0x7eff2447bf30>
            y: None
            sample_weight: <numpy.ndarray at 0x7eff347e6850>
        Locals:
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecad40>
            init: "k-means++"
            init_is_array_like: False
            X_mean: <numpy.ndarray at 0x7eff347e6a90>
            x_squared_norms: <numpy.ndarray at 0x7eff24574e10>
            kmeans_single: <function at 0x7f0195db8cc0>
            best_inertia: None
            best_labels: None
            i: 0
    wrapper (sklearn/base.py:1151)
        Arguments:
            estimator: <KMeans at 0x7eff1fe6eb10>
        Locals:
            args: (<numpy.ndarray at 0x7eff2447b510>)
            kwargs: {}
            global_skip_validation: False
            partial_fit_and_fitted: False
    fit (Orange/clustering/clustering.py:95)
        Arguments:
            self: <KMeans at 0x7eff1fe6ee10>
            X: <numpy.ndarray at 0x7eff2447b510>
            y: None
    fit_storage (Orange/clustering/clustering.py:92)
        Arguments:
            self: <KMeans at 0x7eff1fe6ee10>
            data: <Table at 0x7eff243b5850>
    get_model (Orange/clustering/clustering.py:85)
        Arguments:
            self: <KMeans at 0x7eff1fe6ee10>
            data: <Table at 0x7eff243b5850>
        Locals:
            orig_domain: <Domain at 0x7eff243add50>
    _compute_clustering (Orange/widgets/unsupervised/owkmeans.py:294)
        Arguments:
            data: <Table at 0x7eff243b5850>
            k: 3
            init: "k-means++"
            n_init: 10
            max_iter: 300
            random_state: 0
    run (Orange/widgets/utils/concurrent.py:175)
        Arguments:
            self: <FutureRunnable at 0x7eff24562200>
        Locals:
            func: <function at 0x7f01941918a0>
            args: ()
            kwargs: {"data": <Table at 0x7eff243b5850>, "k": 3, "init": "k-means++", "n_init": 10, "max_iter": 300, "random_state": 0}
    run (concurrent/futures/thread.py:58)
        Arguments:
            self: <_WorkItem at 0x7eff1fe6f2d0>
    _worker (concurrent/futures/thread.py:83)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7eff243cf6a0>
            work_queue: <_queue.SimpleQueue at 0x7f0195dbe070>
            initializer: None
            initargs: ()
        Locals:
            work_item: <_WorkItem at 0x7eff1fe6f2d0>
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7eff1fe6f350>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7eff1fe6f350>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7eff1fe6f350>
Thread 512115 (idle): "ThreadPoolExecutor-72_2"
    safe_sparse_dot (sklearn/utils/extmath.py:193)
        Arguments:
            a: <numpy.ndarray at 0x7eff1ffdc1b0>
            b: <numpy.ndarray at 0x7eff1ffdcbd0>
        Locals:
            dense_output: True
    _euclidean_distances (sklearn/metrics/pairwise.py:379)
        Arguments:
            X: <numpy.ndarray at 0x7eff1ffdc1b0>
            Y: <numpy.ndarray at 0x7eff2447bb10>
            X_norm_squared: None
            Y_norm_squared: <numpy.ndarray at 0x7eff24574bd0>
            squared: True
        Locals:
            XX: <numpy.ndarray at 0x7eff1ffdc330>
            YY: <numpy.ndarray at 0x7eff1ffdcc30>
    _kmeans_plusplus (sklearn/cluster/_kmeans.py:255)
        Arguments:
            X: <numpy.ndarray at 0x7eff2447bb10>
            n_clusters: 4
            x_squared_norms: <numpy.ndarray at 0x7eff24574bd0>
            sample_weight: <numpy.ndarray at 0x7eff347e6a30>
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecb040>
            n_local_trials: 3
        Locals:
            n_samples: 239016
            n_features: 1461
            centers: <numpy.ndarray at 0x7eff3c104270>
            center_id: 131175
            indices: <numpy.ndarray at 0x7f0016d0b0f0>
            closest_dist_sq: <numpy.ndarray at 0x7eff1ffdc210>
            current_pot: <numpy.ndarray at 0x7f019762e8b0>
            c: 1
            rand_vals: <numpy.ndarray at 0x7f0016d0b9f0>
            candidate_ids: <numpy.ndarray at 0x7eff1ffdc990>
    _init_centroids (sklearn/cluster/_kmeans.py:1018)
        Arguments:
            self: <KMeans at 0x7eff1fe6e0d0>
            X: <numpy.ndarray at 0x7eff2447bb10>
            x_squared_norms: <numpy.ndarray at 0x7eff24574bd0>
            init: "k-means++"
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecb040>
            init_size: None
            n_centroids: None
            sample_weight: <numpy.ndarray at 0x7eff347e6a30>
        Locals:
            n_samples: 239016
            n_clusters: 4
    fit (sklearn/cluster/_kmeans.py:1515)
        Arguments:
            self: <KMeans at 0x7eff1fe6e0d0>
            X: <numpy.ndarray at 0x7eff2447bb10>
            y: None
            sample_weight: <numpy.ndarray at 0x7eff347e6a30>
        Locals:
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecb040>
            init: "k-means++"
            init_is_array_like: False
            X_mean: <numpy.ndarray at 0x7eff347e7b70>
            x_squared_norms: <numpy.ndarray at 0x7eff24574bd0>
            kmeans_single: <function at 0x7f0195db8cc0>
            best_inertia: None
            best_labels: None
            i: 0
    wrapper (sklearn/base.py:1151)
        Arguments:
            estimator: <KMeans at 0x7eff1fe6e0d0>
        Locals:
            args: (<numpy.ndarray at 0x7eff2447b510>)
            kwargs: {}
            global_skip_validation: False
            partial_fit_and_fitted: False
    fit (Orange/clustering/clustering.py:95)
        Arguments:
            self: <KMeans at 0x7eff1fe6e1d0>
            X: <numpy.ndarray at 0x7eff2447b510>
            y: None
    fit_storage (Orange/clustering/clustering.py:92)
        Arguments:
            self: <KMeans at 0x7eff1fe6e1d0>
            data: <Table at 0x7eff243b5850>
    get_model (Orange/clustering/clustering.py:85)
        Arguments:
            self: <KMeans at 0x7eff1fe6e1d0>
            data: <Table at 0x7eff243b5850>
        Locals:
            orig_domain: <Domain at 0x7eff243add50>
    _compute_clustering (Orange/widgets/unsupervised/owkmeans.py:294)
        Arguments:
            data: <Table at 0x7eff243b5850>
            k: 4
            init: "k-means++"
            n_init: 10
            max_iter: 300
            random_state: 0
    run (Orange/widgets/utils/concurrent.py:175)
        Arguments:
            self: <FutureRunnable at 0x7eff24562290>
        Locals:
            func: <function at 0x7f01941918a0>
            args: ()
            kwargs: {"data": <Table at 0x7eff243b5850>, "k": 4, "init": "k-means++", "n_init": 10, "max_iter": 300, "random_state": 0}
    run (concurrent/futures/thread.py:58)
        Arguments:
            self: <_WorkItem at 0x7eff1fe6e750>
    _worker (concurrent/futures/thread.py:83)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7eff243cee30>
            work_queue: <_queue.SimpleQueue at 0x7f0195dbe070>
            initializer: None
            initargs: ()
        Locals:
            work_item: <_WorkItem at 0x7eff1fe6e750>
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7eff1fe6e790>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7eff1fe6e790>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7eff1fe6e790>
Thread 512116 (idle): "ThreadPoolExecutor-72_3"
    safe_sparse_dot (sklearn/utils/extmath.py:193)
        Arguments:
            a: <numpy.ndarray at 0x7eff1ffdc8d0>
            b: <numpy.ndarray at 0x7eff1ffdd350>
        Locals:
            dense_output: True
    _euclidean_distances (sklearn/metrics/pairwise.py:379)
        Arguments:
            X: <numpy.ndarray at 0x7eff1ffdc8d0>
            Y: <numpy.ndarray at 0x7eff2447b930>
            X_norm_squared: None
            Y_norm_squared: <numpy.ndarray at 0x7eff24574b10>
            squared: True
        Locals:
            XX: <numpy.ndarray at 0x7eff1ffdc510>
            YY: <numpy.ndarray at 0x7eff1ffdc090>
    _kmeans_plusplus (sklearn/cluster/_kmeans.py:255)
        Arguments:
            X: <numpy.ndarray at 0x7eff2447b930>
            n_clusters: 5
            x_squared_norms: <numpy.ndarray at 0x7eff24574b10>
            sample_weight: <numpy.ndarray at 0x7eff24567f90>
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecae40>
            n_local_trials: 3
        Locals:
            n_samples: 239016
            n_features: 1461
            centers: <numpy.ndarray at 0x7eff3c104570>
            center_id: 131175
            indices: <numpy.ndarray at 0x7eff3c104ed0>
            closest_dist_sq: <numpy.ndarray at 0x7f0016d0bb70>
            current_pot: <numpy.ndarray at 0x7eff1ffdc4b0>
            c: 2
            rand_vals: <numpy.ndarray at 0x7eff1ffdcab0>
            candidate_ids: <numpy.ndarray at 0x7eff3c104f90>
            distance_to_candidates: <numpy.ndarray at 0x7eff1ffdc9f0>
            candidates_pot: <numpy.ndarray at 0x7eff1ffdc450>
            best_candidate: <numpy.int64 at 0x7eff24483550>
    _init_centroids (sklearn/cluster/_kmeans.py:1018)
        Arguments:
            self: <KMeans at 0x7eff1fe6d510>
            X: <numpy.ndarray at 0x7eff2447b930>
            x_squared_norms: <numpy.ndarray at 0x7eff24574b10>
            init: "k-means++"
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecae40>
            init_size: None
            n_centroids: None
            sample_weight: <numpy.ndarray at 0x7eff24567f90>
        Locals:
            n_samples: 239016
            n_clusters: 5
    fit (sklearn/cluster/_kmeans.py:1515)
        Arguments:
            self: <KMeans at 0x7eff1fe6d510>
            X: <numpy.ndarray at 0x7eff2447b930>
            y: None
            sample_weight: <numpy.ndarray at 0x7eff24567f90>
        Locals:
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecae40>
            init: "k-means++"
            init_is_array_like: False
            X_mean: <numpy.ndarray at 0x7eff2447bed0>
            x_squared_norms: <numpy.ndarray at 0x7eff24574b10>
            kmeans_single: <function at 0x7f0195db8cc0>
            best_inertia: None
            best_labels: None
            i: 0
    wrapper (sklearn/base.py:1151)
        Arguments:
            estimator: <KMeans at 0x7eff1fe6d510>
        Locals:
            args: (<numpy.ndarray at 0x7eff2447b510>)
            kwargs: {}
            global_skip_validation: False
            partial_fit_and_fitted: False
    fit (Orange/clustering/clustering.py:95)
        Arguments:
            self: <KMeans at 0x7eff1fe6d290>
            X: <numpy.ndarray at 0x7eff2447b510>
            y: None
    fit_storage (Orange/clustering/clustering.py:92)
        Arguments:
            self: <KMeans at 0x7eff1fe6d290>
            data: <Table at 0x7eff243b5850>
    get_model (Orange/clustering/clustering.py:85)
        Arguments:
            self: <KMeans at 0x7eff1fe6d290>
            data: <Table at 0x7eff243b5850>
        Locals:
            orig_domain: <Domain at 0x7eff243add50>
    _compute_clustering (Orange/widgets/unsupervised/owkmeans.py:294)
        Arguments:
            data: <Table at 0x7eff243b5850>
            k: 5
            init: "k-means++"
            n_init: 10
            max_iter: 300
            random_state: 0
    run (Orange/widgets/utils/concurrent.py:175)
        Arguments:
            self: <FutureRunnable at 0x7eff245620e0>
        Locals:
            func: <function at 0x7f01941918a0>
            args: ()
            kwargs: {"data": <Table at 0x7eff243b5850>, "k": 5, "init": "k-means++", "n_init": 10, "max_iter": 300, "random_state": 0}
    run (concurrent/futures/thread.py:58)
        Arguments:
            self: <_WorkItem at 0x7eff1fe6d850>
    _worker (concurrent/futures/thread.py:83)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7eff243ce570>
            work_queue: <_queue.SimpleQueue at 0x7f0195dbe070>
            initializer: None
            initargs: ()
        Locals:
            work_item: <_WorkItem at 0x7eff1fe6d850>
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7eff1fe6d9d0>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7eff1fe6d9d0>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7eff1fe6d9d0>
Thread 512117 (idle): "ThreadPoolExecutor-72_4"
    safe_sparse_dot (sklearn/utils/extmath.py:193)
        Arguments:
            a: <numpy.ndarray at 0x7eff1ffdd1d0>
            b: <numpy.ndarray at 0x7eff1ffdd290>
        Locals:
            dense_output: True
    _euclidean_distances (sklearn/metrics/pairwise.py:379)
        Arguments:
            X: <numpy.ndarray at 0x7eff1ffdd1d0>
            Y: <numpy.ndarray at 0x7eff2447bd50>
            X_norm_squared: None
            Y_norm_squared: <numpy.ndarray at 0x7eff24574f90>
            squared: True
        Locals:
            XX: <numpy.ndarray at 0x7eff1ffdc690>
            YY: <numpy.ndarray at 0x7eff1ffdc630>
    _kmeans_plusplus (sklearn/cluster/_kmeans.py:255)
        Arguments:
            X: <numpy.ndarray at 0x7eff2447bd50>
            n_clusters: 6
            x_squared_norms: <numpy.ndarray at 0x7eff24574f90>
            sample_weight: <numpy.ndarray at 0x7eff347e69d0>
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecb140>
            n_local_trials: 3
        Locals:
            n_samples: 239016
            n_features: 1461
            centers: <numpy.ndarray at 0x7eff3c104b70>
            center_id: 131175
            indices: <numpy.ndarray at 0x7eff3c104090>
            closest_dist_sq: <numpy.ndarray at 0x7f0016d0b1b0>
            current_pot: <numpy.ndarray at 0x7eff1ffdc570>
            c: 2
            rand_vals: <numpy.ndarray at 0x7eff1ffdc930>
            candidate_ids: <numpy.ndarray at 0x7f0016d0ac70>
            distance_to_candidates: <numpy.ndarray at 0x7eff1ffdc870>
            candidates_pot: <numpy.ndarray at 0x7eff1ffdc5d0>
            best_candidate: <numpy.int64 at 0x7eff244830b0>
    _init_centroids (sklearn/cluster/_kmeans.py:1018)
        Arguments:
            self: <KMeans at 0x7eff1fe6c590>
            X: <numpy.ndarray at 0x7eff2447bd50>
            x_squared_norms: <numpy.ndarray at 0x7eff24574f90>
            init: "k-means++"
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecb140>
            init_size: None
            n_centroids: None
            sample_weight: <numpy.ndarray at 0x7eff347e69d0>
        Locals:
            n_samples: 239016
            n_clusters: 6
    fit (sklearn/cluster/_kmeans.py:1515)
        Arguments:
            self: <KMeans at 0x7eff1fe6c590>
            X: <numpy.ndarray at 0x7eff2447bd50>
            y: None
            sample_weight: <numpy.ndarray at 0x7eff347e69d0>
        Locals:
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecb140>
            init: "k-means++"
            init_is_array_like: False
            X_mean: <numpy.ndarray at 0x7eff347e6c10>
            x_squared_norms: <numpy.ndarray at 0x7eff24574f90>
            kmeans_single: <function at 0x7f0195db8cc0>
            best_inertia: None
            best_labels: None
            i: 0
    wrapper (sklearn/base.py:1151)
        Arguments:
            estimator: <KMeans at 0x7eff1fe6c590>
        Locals:
            args: (<numpy.ndarray at 0x7eff2447b510>)
            kwargs: {}
            global_skip_validation: False
            partial_fit_and_fitted: False
    fit (Orange/clustering/clustering.py:95)
        Arguments:
            self: <KMeans at 0x7eff1fe6c890>
            X: <numpy.ndarray at 0x7eff2447b510>
            y: None
    fit_storage (Orange/clustering/clustering.py:92)
        Arguments:
            self: <KMeans at 0x7eff1fe6c890>
            data: <Table at 0x7eff243b5850>
    get_model (Orange/clustering/clustering.py:85)
        Arguments:
            self: <KMeans at 0x7eff1fe6c890>
            data: <Table at 0x7eff243b5850>
        Locals:
            orig_domain: <Domain at 0x7eff243add50>
    _compute_clustering (Orange/widgets/unsupervised/owkmeans.py:294)
        Arguments:
            data: <Table at 0x7eff243b5850>
            k: 6
            init: "k-means++"
            n_init: 10
            max_iter: 300
            random_state: 0
    run (Orange/widgets/utils/concurrent.py:175)
        Arguments:
            self: <FutureRunnable at 0x7eff243bb400>
        Locals:
            func: <function at 0x7f01941918a0>
            args: ()
            kwargs: {"data": <Table at 0x7eff243b5850>, "k": 6, "init": "k-means++", "n_init": 10, "max_iter": 300, "random_state": 0}
    run (concurrent/futures/thread.py:58)
        Arguments:
            self: <_WorkItem at 0x7eff1fe6ce50>
    _worker (concurrent/futures/thread.py:83)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7eff243cdcb0>
            work_queue: <_queue.SimpleQueue at 0x7f0195dbe070>
            initializer: None
            initargs: ()
        Locals:
            work_item: <_WorkItem at 0x7eff1fe6ce50>
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7eff1fe6ce90>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7eff1fe6ce90>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7eff1fe6ce90>
Thread 512118 (idle): "ThreadPoolExecutor-72_5"
    safe_sparse_dot (sklearn/utils/extmath.py:193)
        Arguments:
            a: <numpy.ndarray at 0x7eff1ffdcd50>
            b: <numpy.ndarray at 0x7eff1ffdd4d0>
        Locals:
            dense_output: True
    _euclidean_distances (sklearn/metrics/pairwise.py:379)
        Arguments:
            X: <numpy.ndarray at 0x7eff1ffdcd50>
            Y: <numpy.ndarray at 0x7eff2447bc30>
            X_norm_squared: None
            Y_norm_squared: <numpy.ndarray at 0x7eff24574ed0>
            squared: True
        Locals:
            XX: <numpy.ndarray at 0x7eff1ffdc7b0>
            YY: <numpy.ndarray at 0x7eff1ffdcb10>
    _kmeans_plusplus (sklearn/cluster/_kmeans.py:255)
        Arguments:
            X: <numpy.ndarray at 0x7eff2447bc30>
            n_clusters: 7
            x_squared_norms: <numpy.ndarray at 0x7eff24574ed0>
            sample_weight: <numpy.ndarray at 0x7eff347e6910>
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecb240>
            n_local_trials: 3
        Locals:
            n_samples: 239016
            n_features: 1461
            centers: <numpy.ndarray at 0x7eff3c104db0>
            center_id: 131175
            indices: <numpy.ndarray at 0x7eff3c1042d0>
            closest_dist_sq: <numpy.ndarray at 0x7f0016d0bcf0>
            current_pot: <numpy.ndarray at 0x7eff1ffdc750>
            c: 2
            rand_vals: <numpy.ndarray at 0x7eff1ffdcf30>
            candidate_ids: <numpy.ndarray at 0x7f0016d0b270>
            distance_to_candidates: <numpy.ndarray at 0x7eff1ffdce70>
            candidates_pot: <numpy.ndarray at 0x7eff1ffdce10>
            best_candidate: <numpy.int64 at 0x7eff24482e30>
    _init_centroids (sklearn/cluster/_kmeans.py:1018)
        Arguments:
            self: <KMeans at 0x7eff1fe6e290>
            X: <numpy.ndarray at 0x7eff2447bc30>
            x_squared_norms: <numpy.ndarray at 0x7eff24574ed0>
            init: "k-means++"
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecb240>
            init_size: None
            n_centroids: None
            sample_weight: <numpy.ndarray at 0x7eff347e6910>
        Locals:
            n_samples: 239016
            n_clusters: 7
    fit (sklearn/cluster/_kmeans.py:1515)
        Arguments:
            self: <KMeans at 0x7eff1fe6e290>
            X: <numpy.ndarray at 0x7eff2447bc30>
            y: None
            sample_weight: <numpy.ndarray at 0x7eff347e6910>
        Locals:
            random_state: <numpy.random.mtrand.RandomState at 0x7f0016ecb240>
            init: "k-means++"
            init_is_array_like: False
            X_mean: <numpy.ndarray at 0x7eff347e6af0>
            x_squared_norms: <numpy.ndarray at 0x7eff24574ed0>
            kmeans_single: <function at 0x7f0195db8cc0>
            best_inertia: None
            best_labels: None
            i: 0
    wrapper (sklearn/base.py:1151)
        Arguments:
            estimator: <KMeans at 0x7eff1fe6e290>
        Locals:
            args: (<numpy.ndarray at 0x7eff2447b510>)
            kwargs: {}
            global_skip_validation: False
            partial_fit_and_fitted: False
    fit (Orange/clustering/clustering.py:95)
        Arguments:
            self: <KMeans at 0x7eff1fe6d1d0>
            X: <numpy.ndarray at 0x7eff2447b510>
            y: None
    fit_storage (Orange/clustering/clustering.py:92)
        Arguments:
            self: <KMeans at 0x7eff1fe6d1d0>
            data: <Table at 0x7eff243b5850>
    get_model (Orange/clustering/clustering.py:85)
        Arguments:
            self: <KMeans at 0x7eff1fe6d1d0>
            data: <Table at 0x7eff243b5850>
        Locals:
            orig_domain: <Domain at 0x7eff243add50>
    _compute_clustering (Orange/widgets/unsupervised/owkmeans.py:294)
        Arguments:
            data: <Table at 0x7eff243b5850>
            k: 7
            init: "k-means++"
            n_init: 10
            max_iter: 300
            random_state: 0
    run (Orange/widgets/utils/concurrent.py:175)
        Arguments:
            self: <FutureRunnable at 0x7eff243bb010>
        Locals:
            func: <function at 0x7f01941918a0>
            args: ()
            kwargs: {"data": <Table at 0x7eff243b5850>, "k": 7, "init": "k-means++", "n_init": 10, "max_iter": 300, "random_state": 0}
    run (concurrent/futures/thread.py:58)
        Arguments:
            self: <_WorkItem at 0x7eff1fe6cb10>
    _worker (concurrent/futures/thread.py:83)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7eff243cd3f0>
            work_queue: <_queue.SimpleQueue at 0x7f0195dbe070>
            initializer: None
            initargs: ()
        Locals:
            work_item: <_WorkItem at 0x7eff1fe6cb10>
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7eff1fe6e210>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7eff1fe6e210>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7eff1fe6e210>
Thread 512119 (idle): "ThreadPoolExecutor-72_6"
    _euclidean_distances (sklearn/metrics/pairwise.py:379)
        Arguments:
            X: <numpy.ndarray at 0x7eff24574990>
            Y: <numpy.ndarray at 0x7eff2447bf90>
            X_norm_squared: None
            Y_norm_squared: <numpy.ndarray at 0x7eff24574f30>
            squared: True
        Locals:
            XX: <numpy.ndarray at 0x7eff24574630>
            YY: <numpy.ndarray at 0x7eff1ffdc390>
    _kmeans_plusplus (sklearn/cluster/_kmeans.py:255)
        Arguments:
            X: <numpy.ndarray at 0x7eff2447bf90>
            n_clusters: 8
            x_squared_norms: <numpy.ndarray at 0x7eff24574f30>
            sample_weight: <numpy.ndarray at 0x7eff347e6b50>
            random_state: <numpy.random.mtrand.RandomState at 0x7f019415a740>
            n_local_trials: 4
        Locals:
            n_samples: 239016
            n_features: 1461
            centers: <numpy.ndarray at 0x7eff24575290>
            center_id: 131175
            indices: <numpy.ndarray at 0x7eff24574870>
            closest_dist_sq: <numpy.ndarray at 0x7eff245747b0>
            current_pot: <numpy.ndarray at 0x7eff24574e70>
            c: 2
            rand_vals: <numpy.ndarray at 0x7eff245748d0>
            candidate_ids: <numpy.ndarray at 0x7eff24574a50>
            distance_to_candidates: <numpy.ndarray at 0x7eff3c104c30>
            candidates_pot: <numpy.ndarray at 0x7eff245746f0>
            best_candidate: <numpy.int64 at 0x7eff24483590>
    _init_centroids (sklearn/cluster/_kmeans.py:1018)
        Arguments:
            self: <KMeans at 0x7eff1fe6e490>
            X: <numpy.ndarray at 0x7eff2447bf90>
            x_squared_norms: <numpy.ndarray at 0x7eff24574f30>
            init: "k-means++"
            random_state: <numpy.random.mtrand.RandomState at 0x7f019415a740>
            init_size: None
            n_centroids: None
            sample_weight: <numpy.ndarray at 0x7eff347e6b50>
        Locals:
            n_samples: 239016
            n_clusters: 8
    fit (sklearn/cluster/_kmeans.py:1515)
        Arguments:
            self: <KMeans at 0x7eff1fe6e490>
            X: <numpy.ndarray at 0x7eff2447bf90>
            y: None
            sample_weight: <numpy.ndarray at 0x7eff347e6b50>
        Locals:
            random_state: <numpy.random.mtrand.RandomState at 0x7f019415a740>
            init: "k-means++"
            init_is_array_like: False
            X_mean: <numpy.ndarray at 0x7eff347e6bb0>
            x_squared_norms: <numpy.ndarray at 0x7eff24574f30>
            kmeans_single: <function at 0x7f0195db8cc0>
            best_inertia: None
            best_labels: None
            i: 0
    wrapper (sklearn/base.py:1151)
        Arguments:
            estimator: <KMeans at 0x7eff1fe6e490>
        Locals:
            args: (<numpy.ndarray at 0x7eff2447b510>)
            kwargs: {}
            global_skip_validation: False
            partial_fit_and_fitted: False
    fit (Orange/clustering/clustering.py:95)
        Arguments:
            self: <KMeans at 0x7eff1fe6eb50>
            X: <numpy.ndarray at 0x7eff2447b510>
            y: None
    fit_storage (Orange/clustering/clustering.py:92)
        Arguments:
            self: <KMeans at 0x7eff1fe6eb50>
            data: <Table at 0x7eff243b5850>
    get_model (Orange/clustering/clustering.py:85)
        Arguments:
            self: <KMeans at 0x7eff1fe6eb50>
            data: <Table at 0x7eff243b5850>
        Locals:
            orig_domain: <Domain at 0x7eff243add50>
    _compute_clustering (Orange/widgets/unsupervised/owkmeans.py:294)
        Arguments:
            data: <Table at 0x7eff243b5850>
            k: 8
            init: "k-means++"
            n_init: 10
            max_iter: 300
            random_state: 0
    run (Orange/widgets/utils/concurrent.py:175)
        Arguments:
            self: <FutureRunnable at 0x7eff243c9240>
        Locals:
            func: <function at 0x7f01941918a0>
            args: ()
            kwargs: {"data": <Table at 0x7eff243b5850>, "k": 8, "init": "k-means++", "n_init": 10, "max_iter": 300, "random_state": 0}
    run (concurrent/futures/thread.py:58)
        Arguments:
            self: <_WorkItem at 0x7eff1fe6dbd0>
    _worker (concurrent/futures/thread.py:83)
        Arguments:
            executor_reference: <weakref.ReferenceType at 0x7eff243ccb80>
            work_queue: <_queue.SimpleQueue at 0x7f0195dbe070>
            initializer: None
            initargs: ()
        Locals:
            work_item: <_WorkItem at 0x7eff1fe6dbd0>
    run (threading.py:975)
        Arguments:
            self: <Thread at 0x7eff1fe6cf50>
    _bootstrap_inner (threading.py:1038)
        Arguments:
            self: <Thread at 0x7eff1fe6cf50>
    _bootstrap (threading.py:995)
        Arguments:
            self: <Thread at 0x7eff1fe6cf50>