---------------------------------------------------------------------------
MemoryError                               Traceback (most recent call last)
File D:\Anaconda3\envs\Nellie\lib\site-packages\superqt\utils\_qthreading.py:613, in create_worker.<locals>.reraise(e=MemoryError((95491, 95491, 2), dtype('float64')))
    612 def reraise(e):
--> 613     raise e
        e = MemoryError((95491, 95491, 2), dtype('float64'))

File D:\Anaconda3\envs\Nellie\lib\site-packages\superqt\utils\_qthreading.py:175, in WorkerBase.run(self=<napari._qt.qthreading.FunctionWorker object>)
    173     warnings.filterwarnings("always")
    174     warnings.showwarning = lambda *w: self.warned.emit(w)
--> 175     result = self.work()
        self = <napari._qt.qthreading.FunctionWorker object at 0x000001566E0EE940>
    176 if isinstance(result, Exception):
    177     if isinstance(result, RuntimeError):
    178         # The Worker object has likely been deleted.
    179         # A deleted wrapped C/C++ object may result in a runtime
    180         # error that will cause segfault if we try to do much other
    181         # than simply notify the user.

File D:\Anaconda3\envs\Nellie\lib\site-packages\superqt\utils\_qthreading.py:354, in FunctionWorker.work(self=<napari._qt.qthreading.FunctionWorker object>)
    353 def work(self) -> _R:
--> 354     return self._func(*self._args, **self._kwargs)
        self._func = <function NellieProcessor._run_feature_export at 0x000001566D723F70>
        self = <napari._qt.qthreading.FunctionWorker object at 0x000001566E0EE940>
        self._args = (<nellie_napari.nellie_processor.NellieProcessor object at 0x000001566E0FA5E0>,)
        self._kwargs = {}

File D:\Anaconda3\envs\Nellie\lib\site-packages\nellie_napari\nellie_processor.py:452, in NellieProcessor._run_feature_export(self=<nellie_napari.nellie_processor.NellieProcessor object>)
    448 self.current_im_info = im_info
    449 hierarchy = Hierarchy(im_info=self.current_im_info,
    450                       skip_nodes=not bool(self.nellie.settings.analyze_node_level.isChecked()),
    451                       viewer=self.viewer)
--> 452 hierarchy.run()
        hierarchy = <nellie.feature_extraction.hierarchical.Hierarchy object at 0x00000156728D5250>
    453 if self.nellie.settings.remove_intermediates_checkbox.isChecked():
    454     try:

File D:\Anaconda3\envs\Nellie\lib\site-packages\nellie\feature_extraction\hierarchical.py:322, in Hierarchy.run(self=<nellie.feature_extraction.hierarchical.Hierarchy object>)
    320 self._get_t()
    321 self._allocate_memory()
--> 322 self._get_hierarchies()
        self = <nellie.feature_extraction.hierarchical.Hierarchy object at 0x00000156728D5250>
    323 self._save_dfs()
    324 if self.viewer is not None:

File D:\Anaconda3\envs\Nellie\lib\site-packages\nellie\feature_extraction\hierarchical.py:172, in Hierarchy._get_hierarchies(self=<nellie.feature_extraction.hierarchical.Hierarchy object>)
    170 logger.info("Running branch analysis")
    171 start = time.time()
--> 172 self.branches.run()
        self.branches = <nellie.feature_extraction.hierarchical.Branches object at 0x00000156622A8460>
        self = <nellie.feature_extraction.hierarchical.Hierarchy object at 0x00000156728D5250>
    173 end = time.time()
    174 b_time = end - start

File D:\Anaconda3\envs\Nellie\lib\site-packages\nellie\feature_extraction\hierarchical.py:1668, in Branches.run(self=<nellie.feature_extraction.hierarchical.Branches object>)
   1666 if self.hierarchy.viewer is not None:
   1667     self.hierarchy.viewer.status = f'Extracting branch features. Frame: {t + 1} of {self.hierarchy.num_t}.'
-> 1668 self._run_frame(t)
        t = 0
        self = <nellie.feature_extraction.hierarchical.Branches object at 0x00000156622A8460>

File D:\Anaconda3\envs\Nellie\lib\site-packages\nellie\feature_extraction\hierarchical.py:1658, in Branches._run_frame(self=<nellie.feature_extraction.hierarchical.Branches object>, t=0)
   1655 self.image_name.append(im_name)
   1657 self._get_aggregate_stats(t)
-> 1658 self._get_branch_stats(t)
        t = 0
        self = <nellie.feature_extraction.hierarchical.Branches object at 0x00000156622A8460>

File D:\Anaconda3\envs\Nellie\lib\site-packages\nellie\feature_extraction\hierarchical.py:1492, in Branches._get_branch_stats(self=<nellie.feature_extraction.hierarchical.Branches object>, t=0)
   1490 branch_idx_array_1 = np.array(self.branch_idxs[t])
   1491 branch_idx_array_2 = np.array(self.branch_idxs[t])[:, None, :]
-> 1492 dist = np.linalg.norm(branch_idx_array_1 - branch_idx_array_2, axis=-1)
        branch_idx_array_1 = array([[   0, 1602],
       [   0, 1603],
       ...,
       [2046, 1985],
       [2046, 1997]], dtype=int64)
        branch_idx_array_2 = array([[[   0, 1602]],

       [[   0, 1603]],

       ...,

       [[2046, 1985]],

       [[2046, 1997]]], dtype=int64)
        np.linalg.norm = <function norm at 0x0000015629F89330>
        np = <module 'numpy' from 'D:\\Anaconda3\\envs\\Nellie\\lib\\site-packages\\numpy\\__init__.py'>
        np.linalg = <module 'numpy.linalg' from 'D:\\Anaconda3\\envs\\Nellie\\lib\\site-packages\\numpy\\linalg\\__init__.py'>
   1493 dist[dist >= 2] = 0  # remove any distances greater than adjacent pixel
   1494 neighbors = np.sum(dist > 0, axis=1)

File D:\Anaconda3\envs\Nellie\lib\site-packages\numpy\linalg\linalg.py:2537, in norm(x=array([[[    0,     0],
        [    0,     1],
...0,   -12],
        [    0,     0]]], dtype=int64), ord=None, axis=-1, keepdims=False)
   2534 x = asarray(x)
   2536 if not issubclass(x.dtype.type, (inexact, object_)):
-> 2537     x = x.astype(float)
        x = array([[[    0,     0],
        [    0,     1],
        ...,
        [ 2046,   383],
        [ 2046,   395]],

       [[    0,    -1],
        [    0,     0],
        ...,
        [ 2046,   382],
        [ 2046,   394]],

       ...,

       [[-2046,  -383],
        [-2046,  -382],
        ...,
        [    0,     0],
        [    0,    12]],

       [[-2046,  -395],
        [-2046,  -394],
        ...,
        [    0,   -12],
        [    0,     0]]], dtype=int64)
   2539 # Immediately handle some default, simple, fast, and common cases.
   2540 if axis is None:

MemoryError: Unable to allocate 136. GiB for an array with shape (95491, 95491, 2) and data type float64