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07d73ee..e43e8b6 100644 --- a/figures/nc-fd-convergence.svg +++ b/figures/nc-fd-convergence.svg @@ -6,7 +6,7 @@ - 2023-03-19T17:50:24.307870 + 2023-03-20T14:45:47.028340 image/svg+xml @@ -19941,7 +19941,7 @@ L 69.30995 185.298806 L 69.27936 184.051652 L 69.248771 203.146032 z -" clip-path="url(#p7359cb4da0)" style="fill: #1f77b4; fill-opacity: 0.2"/> +" clip-path="url(#p28f5ccc9c9)" style="fill: #1f77b4; fill-opacity: 0.2"/> +" clip-path="url(#p28f5ccc9c9)" style="fill: #ff7f0e; fill-opacity: 0.2"/> - - + @@ -39894,7 +39894,7 @@ z - + @@ -39936,7 +39936,7 @@ z - + @@ -39973,7 +39973,7 @@ z - + @@ -40021,7 +40021,7 @@ z - + @@ -40078,7 +40078,7 @@ z - + @@ -40160,12 +40160,12 @@ z - - + @@ -40190,7 +40190,7 @@ z - + @@ -40206,7 +40206,7 @@ z - + @@ -40234,7 +40234,7 @@ z - + @@ -40250,7 +40250,7 @@ z - + @@ -44173,12 +44173,12 @@ L 373.367693 83.888254 L 373.398282 83.979329 L 373.52064 84.31475 L 373.581818 84.183869 -" clip-path="url(#p7359cb4da0)" style="fill: none; stroke: #1f77b4; stroke-width: 1.5; stroke-linecap: square"/> +" clip-path="url(#p28f5ccc9c9)" style="fill: none; stroke: #1f77b4; stroke-width: 1.5; stroke-linecap: square"/> +" clip-path="url(#p28f5ccc9c9)" style="fill: none; stroke: #ff0000; stroke-width: 1.5; stroke-linecap: square"/> + diff --git a/graphs/3d-eg.py b/graphs/3d-eg.py new file mode 100644 index 0000000..cb98c50 --- /dev/null +++ b/graphs/3d-eg.py @@ -0,0 +1,21 @@ +from lib.lib import read_xy_alt, read_load +import matplotlib as mpl +from mpl_toolkits.mplot3d import Axes3D +import numpy as np +import matplotlib.pyplot as plt + +full_data = read_load("/Users/joshuacoles/Developer/checkouts/jc3091/CompB DLA/data-analysis/data/rust-3d", read_xy_alt) +run1 = full_data[full_data.run == '1'] + +max_actual_radius = max(run1.x.abs().max(), run1.y.abs().max(), run1.z.abs().max()) +max_radius = int(np.exp2(np.floor(np.log2(max_actual_radius)) + 1)) +data = np.zeros((max_radius * 2, max_radius * 2, max_radius * 2)) +data[run1.x + max_radius, run1.y + max_radius, run1.z + max_radius] = 1 + +# %% +fig = plt.figure(figsize=(10, 10)) +ax = fig.add_subplot(projection='3d') +ax.scatter(run1.x, run1.y, run1.z, c=run1.N) + +fig.savefig("../figures/3d-eg.png") +fig.savefig("../figures/3d-eg.svg") diff --git a/graphs/3d-nc-fd-convergence.py b/graphs/3d-nc-fd-convergence.py index 0b080b0..d4c4f25 100644 --- a/graphs/3d-nc-fd-convergence.py +++ b/graphs/3d-nc-fd-convergence.py @@ -41,8 +41,8 @@ nc_fd(direct_meaned_by_N, label="IPC + 3D Direct", color="tab:blue", no_error=Tr nc_fd(rust_direct_meaned_by_N, label="NF 3D Direct", color="tab:orange", no_error=True) nc_fd(rust_offaxis_meaned_by_N, label="NF 3D Off-axis", color="tab:purple", linestyle='dashdot', no_error=True) -plt.plot([np.min(c_direct_neighbours.N), np.max(c_direct_neighbours.N)], [2.5, 2.5], color='tab:red', label='Literature') -# plt.fill_between(c_direct_neighbours.N, 2.5 - 0.01, 2.5 + 0.01, alpha=0.2, color='tab:red', label='Literature error band') +plt.plot([np.min(c_direct_neighbours.N), np.max(c_direct_neighbours.N)], [2.51, 2.51], color='tab:red', label='Literature') +# plt.fill_between(c_direct_neighbours.N, 2.51 - 0.01, 2.51 + 0.01, alpha=0.2, color='tab:red', label='Literature error band') plt.xlabel("$N_C$") plt.ylabel("$fd$ (instantaneous)") diff --git a/lib/boxcount.py b/lib/boxcount.py index 1450e30..5e62cb2 100644 --- a/lib/boxcount.py +++ b/lib/boxcount.py @@ -54,6 +54,7 @@ df = read_xy_alt( "/Users/joshuacoles/Developer/checkouts/jc3091/CompB DLA/data-analysis/data/alpha/1.csv" ) +max_actual_radius = max(df.x.abs().max(), df.y.abs().max()) max_radius = int(np.exp2(np.floor(np.log2(max_actual_radius)) + 1)) data = np.zeros((max_radius * 2, max_radius * 2)) data[df.x + max_radius, df.y + max_radius] = 1 diff --git a/lib/fd.py b/lib/fd.py new file mode 100644 index 0000000..b04e581 --- /dev/null +++ b/lib/fd.py @@ -0,0 +1,78 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +Created on Mon Sep 16 09:47:15 2019 +@author: daniel +""" +import numpy as np +import matplotlib.pyplot as plt + + +def fractal_dimension(array, max_box_size=None, min_box_size=1, n_samples=20, n_offsets=0, plot=False): + """Calculates the fractal dimension of a 3D numpy array. + + Args: + array (np.ndarray): The array to calculate the fractal dimension of. + max_box_size (int): The largest box size, given as the power of 2 so that + 2**max_box_size gives the sidelength of the largest box. + min_box_size (int): The smallest box size, given as the power of 2 so that + 2**min_box_size gives the sidelength of the smallest box. + Default value 1. + n_samples (int): number of scales to measure over. + n_offsets (int): number of offsets to search over to find the smallest set N(s) to + cover all voxels>0. + plot (bool): set to true to see the analytical plot of a calculation. + + + """ + # determine the scales to measure on + if max_box_size == None: + # default max size is the largest power of 2 that fits in the smallest dimension of the array: + max_box_size = int(np.floor(np.log2(np.min(array.shape)))) + scales = np.floor(np.logspace(max_box_size, min_box_size, num=n_samples, base=2)) + scales = np.unique(scales) # remove duplicates that could occur as a result of the floor + + # get the locations of all non-zero pixels + locs = np.where(array > 0) + voxels = np.array([(x, y, z) for x, y, z in zip(*locs)]) + + # count the minimum amount of boxes touched + Ns = [] + # loop over all scales + for scale in scales: + touched = [] + if n_offsets == 0: + offsets = [0] + else: + offsets = np.linspace(0, scale, n_offsets) + # search over all offsets + for offset in offsets: + bin_edges = [np.arange(0, i, scale) for i in array.shape] + bin_edges = [np.hstack([0 - offset, x + offset]) for x in bin_edges] + H1, e = np.histogramdd(voxels, bins=bin_edges) + touched.append(np.sum(H1 > 0)) + Ns.append(touched) + Ns = np.array(Ns) + + # From all sets N found, keep the smallest one at each scale + Ns = Ns.min(axis=1) + + # Only keep scales at which Ns changed + scales = np.array([np.min(scales[Ns == x]) for x in np.unique(Ns)]) + + Ns = np.unique(Ns) + Ns = Ns[Ns > 0] + scales = scales[:len(Ns)] + # perform fit + coeffs = np.polyfit(np.log(1 / scales), np.log(Ns), 1) + + # make plot + if plot: + fig, ax = plt.subplots(figsize=(8, 6)) + ax.scatter(np.log(1 / scales), np.log(np.unique(Ns)), c="teal", label="Measured ratios") + ax.set_ylabel("$\log N(\epsilon)$") + ax.set_xlabel("$\log 1/ \epsilon$") + fitted_y_vals = np.polyval(coeffs, np.log(1 / scales)) + ax.plot(np.log(1 / scales), fitted_y_vals, "k--", label=f"Fit: {np.round(coeffs[0], 3)}X+{coeffs[1]}") + ax.legend(); + return (coeffs[0]) diff --git a/notebooks/.ipynb_checkpoints/bc1-checkpoint.ipynb b/notebooks/.ipynb_checkpoints/bc1-checkpoint.ipynb new file mode 100644 index 0000000..a8ad68d --- /dev/null +++ b/notebooks/.ipynb_checkpoints/bc1-checkpoint.ipynb @@ -0,0 +1,1755 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "\"\"\"\n", + "Created on Mon Sep 16 09:47:15 2019\n", + "@author: daniel\n", + "\"\"\"\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "\n", + "def fractal_dimension(array, max_box_size=None, min_box_size=1, n_samples=20, n_offsets=0, plot=False):\n", + " \"\"\"Calculates the fractal dimension of a 3D numpy array.\n", + "\n", + " Args:\n", + " array (np.ndarray): The array to calculate the fractal dimension of.\n", + " max_box_size (int): The largest box size, given as the power of 2 so that\n", + " 2**max_box_size gives the sidelength of the largest box.\n", + " min_box_size (int): The smallest box size, given as the power of 2 so that\n", + " 2**min_box_size gives the sidelength of the smallest box.\n", + " Default value 1.\n", + " n_samples (int): number of scales to measure over.\n", + " n_offsets (int): number of offsets to search over to find the smallest set N(s) to\n", + " cover all voxels>0.\n", + " plot (bool): set to true to see the analytical plot of a calculation.\n", + "\n", + "\n", + " \"\"\"\n", + " # determine the scales to measure on\n", + " if max_box_size == None:\n", + " # default max size is the largest power of 2 that fits in the smallest dimension of the array:\n", + " max_box_size = int(np.floor(np.log2(np.min(array.shape))))\n", + " scales = np.floor(np.logspace(max_box_size, min_box_size, num=n_samples, base=2))\n", + " scales = np.unique(scales) # remove duplicates that could occur as a result of the floor\n", + "\n", + " # get the locations of all non-zero pixels\n", + " locs = np.where(array > 0)\n", + " voxels = np.array([(x, y, z) for x, y, z in zip(*locs)])\n", + "\n", + " # count the minimum amount of boxes touched\n", + " Ns = []\n", + " # loop over all scales\n", + " for scale in scales:\n", + " touched = []\n", + " if n_offsets == 0:\n", + " offsets = [0]\n", + " else:\n", + " offsets = np.linspace(0, scale, n_offsets)\n", + " # search over all offsets\n", + " for offset in offsets:\n", + " bin_edges = [np.arange(0, i, scale) for i in array.shape]\n", + " bin_edges = [np.hstack([0 - offset, x + offset]) for x in bin_edges]\n", + " H1, e = np.histogramdd(voxels, bins=bin_edges)\n", + " touched.append(np.sum(H1 > 0))\n", + " Ns.append(touched)\n", + " Ns = np.array(Ns)\n", + "\n", + " # From all sets N found, keep the smallest one at each scale\n", + " Ns = Ns.min(axis=1)\n", + "\n", + " # Only keep scales at which Ns changed\n", + " scales = np.array([np.min(scales[Ns == x]) for x in np.unique(Ns)])\n", + "\n", + " Ns = np.unique(Ns)\n", + " Ns = Ns[Ns > 0]\n", + " scales = scales[:len(Ns)]\n", + " # perform fit\n", + " coeffs = np.polyfit(np.log(1 / scales), np.log(Ns), 1)\n", + "\n", + " # make plot\n", + " if plot:\n", + " fig, ax = plt.subplots(figsize=(8, 6))\n", + " ax.scatter(np.log(1 / scales), np.log(np.unique(Ns)), c=\"teal\", label=\"Measured ratios\")\n", + " ax.set_ylabel(\"$\\log N(\\epsilon)$\")\n", + " ax.set_xlabel(\"$\\log 1/ \\epsilon$\")\n", + " fitted_y_vals = np.polyval(coeffs, np.log(1 / scales))\n", + " ax.plot(np.log(1 / scales), fitted_y_vals, \"k--\", label=f\"Fit: {np.round(coeffs[0], 3)}X+{coeffs[1]}\")\n", + " ax.legend();\n", + " return (coeffs[0])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "from lib.lib import read_xy_alt, read_load\n", + "\n", + "full_data = read_load(\"/Users/joshuacoles/Developer/checkouts/jc3091/CompB DLA/data-analysis/data/rust-3d\", read_xy_alt)\n", + "df = full_data[full_data.run == '1']" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "max_actual_radius = max(df.x.abs().max(), df.y.abs().max(), df.z.abs().max())\n", + "max_radius = int(np.exp2(np.floor(np.log2(max_actual_radius)) + 1))\n", + "data = np.zeros((max_radius * 2, max_radius * 2, max_radius * 2))\n", + "data[df.x + max_radius, df.y + max_radius, df.z + max_radius] = 1" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(128, 128, 128)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "5000.0" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(5000, 8)" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "dfs = []\n", + "for _, df in full_data.groupby('run'):\n", + " max_actual_radius = max(df.x.abs().max(), df.y.abs().max(), df.z.abs().max())\n", + " max_radius = int(np.exp2(np.floor(np.log2(max_actual_radius)) + 1))\n", + " data = np.zeros((max_radius * 2, max_radius * 2, max_radius * 2))\n", + " data[df.x + max_radius, df.y + max_radius, df.z + max_radius] = 1\n", + " dfs.append(fractal_dimension(data))" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.8144806365770567" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.array(dfs).mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/joshuacoles/Library/Caches/pypoetry/virtualenvs/data-analysis-B4Au_hWl-py3.10/lib/python3.10/site-packages/matplotlib/collections.py:963: RuntimeWarning: invalid value encountered in sqrt\n", + " scale = np.sqrt(self._sizes) * dpi / 72.0 * self._factor\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(run1.x, run1.y, run1.z)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "from mpl_toolkits.mplot3d import Axes3D\n" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using matplotlib backend: MacOSX\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:07.662 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.689 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.702 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.715 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.728 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.741 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.754 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.767 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.780 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.793 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.806 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.818 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.832 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.845 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.859 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.872 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.886 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.899 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.914 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.928 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.941 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.954 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.968 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.981 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:07.994 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.008 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.022 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.036 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.054 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.070 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.087 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.108 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.122 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.137 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.154 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.172 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.189 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.204 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.221 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.240 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.256 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.271 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.286 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:08.305 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.318 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.331 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.349 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.365 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.383 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.558 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.579 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.591 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.605 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.618 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.631 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.644 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.676 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.690 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.705 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.775 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.839 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.853 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.917 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:08.988 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.048 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.110 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.177 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.235 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.294 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.349 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.403 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.459 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.516 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.572 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.628 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.686 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.742 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.816 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.873 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.931 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:09.988 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.045 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.102 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.162 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.220 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.277 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.333 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:10.391 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.447 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.502 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.558 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.617 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.672 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.729 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.785 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.844 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.902 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:10.957 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.011 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.070 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.125 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.181 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.236 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.292 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.348 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.403 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.457 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.470 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.483 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.495 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.509 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.522 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.536 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.549 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.563 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.576 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.590 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.604 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.618 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.631 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.645 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.659 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.672 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.686 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.759 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.813 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.869 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.925 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:11.983 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.040 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.095 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.150 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:12.209 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.266 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.321 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.375 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.433 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.490 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.545 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.558 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.571 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.584 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.598 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.663 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.676 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.689 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.701 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.714 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.728 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.741 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.754 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.766 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.779 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.793 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.806 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.820 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.837 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.850 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.863 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.876 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.889 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.901 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.914 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.927 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.940 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.953 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.966 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.979 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:12.992 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.006 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.018 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.032 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.045 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.058 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.071 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:13.084 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.097 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.110 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.124 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.137 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.150 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.164 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.177 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.191 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.204 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.217 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.230 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.243 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.256 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.270 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.287 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.304 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.320 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.337 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.354 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.370 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.387 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.403 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.416 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.429 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.443 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.456 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.468 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.481 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.494 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.508 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.521 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.534 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.547 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.560 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.573 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.587 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.600 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.613 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.626 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.639 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.652 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.664 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.678 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.691 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:13.704 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.717 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.739 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.752 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.764 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.777 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.790 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.804 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.816 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.830 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.843 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.856 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.868 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.882 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.895 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.908 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.921 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.933 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.947 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.960 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.972 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.985 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:13.998 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.011 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.024 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.038 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.051 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.064 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.077 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.090 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.104 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.117 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.130 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.143 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.156 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.168 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.181 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.194 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.208 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.221 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.234 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.247 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.260 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.273 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.285 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.298 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.312 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:14.324 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.338 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.351 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.364 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.376 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.389 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.402 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.415 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.428 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.441 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.454 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.467 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.480 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.493 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.506 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.570 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.627 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.684 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.744 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.802 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.859 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.915 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:14.972 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.033 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.091 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.147 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.217 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.276 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.332 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.389 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.446 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.505 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.561 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.617 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.673 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.730 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.787 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.842 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.898 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:15.955 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.011 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.066 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.121 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:16.178 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.235 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.289 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.344 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.401 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.456 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.511 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.566 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.622 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.677 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.732 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.786 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.845 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.900 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:16.956 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.011 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.068 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.123 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.179 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.235 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.292 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.347 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.402 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.457 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.513 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.569 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.624 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.637 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.651 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.664 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.676 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.689 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.702 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.715 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.727 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.741 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.754 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.767 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.780 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.793 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.806 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.819 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.832 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.846 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.859 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.872 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.885 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.898 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.911 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:17.923 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.937 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.956 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.970 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.985 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:17.998 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.012 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.026 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.039 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.052 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.065 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.079 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.092 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.106 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.119 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.132 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.144 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.158 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.171 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.184 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.197 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.210 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.224 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.240 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.258 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.274 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.291 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.308 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.327 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.341 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.358 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.377 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.396 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.416 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.435 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.453 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.472 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.491 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.504 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.521 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.534 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.548 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.561 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.574 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.588 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.601 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.614 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.627 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.640 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.654 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.667 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.680 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.693 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.707 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.721 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.735 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.749 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:18.764 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.782 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.802 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.820 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.836 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.855 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.869 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.883 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.901 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.916 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.930 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.947 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.964 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.981 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:18.994 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.008 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.024 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.041 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.059 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.084 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.111 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.125 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.137 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.151 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.164 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.177 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.190 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.203 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.216 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.230 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.244 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.256 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.270 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.283 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.296 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.309 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.322 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.335 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.348 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.360 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.373 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.387 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.400 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.413 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.426 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.439 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.451 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.464 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.478 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.491 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.504 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.517 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.531 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.544 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.557 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.570 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.583 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.596 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:19.610 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.622 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.635 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.648 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.661 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.674 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.687 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.700 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.714 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.727 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.739 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.753 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.766 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.780 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.793 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.808 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.821 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.834 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.848 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.862 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.876 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.889 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.902 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.916 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.929 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.943 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.956 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.970 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.982 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:19.996 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.010 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.023 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.037 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.051 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.064 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.078 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.092 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.106 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.119 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.133 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.146 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.160 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.173 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.187 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.201 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.214 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:20.228 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.241 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.254 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.267 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.281 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.295 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.308 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.322 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.335 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.349 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.363 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.376 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.390 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.404 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.418 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.431 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.444 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.457 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.470 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.484 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.497 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.510 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.524 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.538 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.552 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.566 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.579 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.593 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.607 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.621 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.635 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.649 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.663 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.676 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.690 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.704 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.718 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.732 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.746 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.760 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.773 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.787 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.801 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.814 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.828 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:20.841 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.855 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.869 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.883 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.897 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.910 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.924 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.937 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.951 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.965 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.978 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:20.991 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.004 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.017 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.031 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.044 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.057 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.070 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.084 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.097 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.110 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.124 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.137 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.150 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.164 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.177 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.191 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.204 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.217 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.231 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.244 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.257 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.270 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.284 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.297 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.310 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.322 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.335 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.349 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.362 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.375 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.389 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.402 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.415 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.428 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.443 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.455 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:21.469 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.483 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.496 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.510 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.523 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.537 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.550 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.564 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.577 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.591 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.604 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.619 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.632 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.646 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.660 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.674 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.687 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.702 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.717 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.731 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.745 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.760 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.774 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.789 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.803 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.816 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.830 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.843 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.857 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.871 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.884 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.898 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.912 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.925 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.939 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.951 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.965 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.979 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:21.992 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.005 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.019 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.034 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.047 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.061 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.075 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:22.089 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.102 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.116 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.130 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.145 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.159 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.173 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.188 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.202 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.216 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.230 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.245 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.259 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.274 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.288 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.301 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.317 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.331 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.344 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.358 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.371 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.385 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.398 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.412 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.428 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.441 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.454 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.468 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.482 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.496 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.510 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.524 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.537 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.551 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.565 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.579 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.593 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.608 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.622 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.636 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.650 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.664 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.677 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.692 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.706 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:22.720 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.734 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.748 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.761 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.775 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.789 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.803 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.817 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.831 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.844 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.858 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.871 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.885 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.899 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.914 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.928 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.941 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.954 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.968 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.981 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:22.994 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.007 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.020 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.033 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.046 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.059 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.073 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.085 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.099 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.111 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.124 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.137 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.151 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.164 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.177 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.191 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.204 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.218 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.230 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.244 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.257 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.269 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.282 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.296 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.318 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.331 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:23.345 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.358 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.371 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.385 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.398 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.412 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.426 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.439 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.453 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.466 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.480 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.494 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.508 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.522 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.536 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.550 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.564 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.578 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.607 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.625 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.638 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.651 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.664 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.676 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.690 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.703 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.722 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.735 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.749 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.762 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.775 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.788 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.801 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.814 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.827 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.840 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.853 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.865 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.878 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.892 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.913 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.925 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.938 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.951 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:23.965 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.978 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:23.991 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.004 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.016 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.029 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.043 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.056 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.076 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.090 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.103 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.117 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.129 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.143 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.158 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.171 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.185 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.197 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.210 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.224 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.238 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.250 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.264 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.277 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.290 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.304 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.317 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.330 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.344 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.357 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.370 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.383 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.396 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.410 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.422 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.435 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.449 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.466 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.480 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.498 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.514 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.528 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.545 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.560 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.577 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:24.593 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.612 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.628 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.646 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.664 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.682 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.698 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.715 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.731 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.749 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.766 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.782 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.805 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.818 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.836 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.856 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.873 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.890 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.908 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.925 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.939 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.954 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.970 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:24.988 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.007 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.024 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.042 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.057 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.075 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.091 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.107 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.124 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.141 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.158 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.176 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.192 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.210 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.228 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.245 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.263 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.281 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.294 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.312 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.330 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.349 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.366 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.384 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.402 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.420 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:25.440 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.454 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.473 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.490 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.508 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.527 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.542 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.557 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.575 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.592 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.613 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.634 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.647 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.661 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.675 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.689 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.706 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.722 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.740 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.757 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.774 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.791 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.810 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.828 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.845 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.864 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.881 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.897 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.915 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.931 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.951 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.972 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:25.991 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.008 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.028 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.046 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.063 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.080 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.098 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.114 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.132 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.147 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.164 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.181 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.197 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.214 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.232 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.249 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.266 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.284 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:26.302 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.322 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.335 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.352 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.370 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.389 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.407 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.424 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.437 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.452 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.471 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.490 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.508 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.526 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.543 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.560 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.576 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.593 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.611 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.629 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.646 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.663 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.680 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.697 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.714 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.730 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.748 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.764 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.781 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.798 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.816 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.834 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.855 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.871 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.888 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.905 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.925 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.944 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.965 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.982 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:26.999 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.018 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.037 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.053 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.074 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.093 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.106 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.119 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.135 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-03-20 14:06:27.156 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.175 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.195 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.208 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.225 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.241 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.258 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "2023-03-20 14:06:27.275 python[26728:20871046] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647\n", + "Traceback (most recent call last):\n", + " File \"/Users/joshuacoles/Library/Caches/pypoetry/virtualenvs/data-analysis-B4Au_hWl-py3.10/lib/python3.10/site-packages/tornado/ioloop.py\", line 740, in _run_callback\n", + " ret = callback()\n", + " File \"/Users/joshuacoles/Library/Caches/pypoetry/virtualenvs/data-analysis-B4Au_hWl-py3.10/lib/python3.10/site-packages/ipykernel/kernelbase.py\", line 458, in advance_eventloop\n", + " eventloop(self)\n", + " File \"/Users/joshuacoles/Library/Caches/pypoetry/virtualenvs/data-analysis-B4Au_hWl-py3.10/lib/python3.10/site-packages/ipykernel/eventloops.py\", line 353, in loop_cocoa\n", + " if kernel.shell_stream.flush(limit=1):\n", + " File \"/Users/joshuacoles/Library/Caches/pypoetry/virtualenvs/data-analysis-B4Au_hWl-py3.10/lib/python3.10/site-packages/zmq/eventloop/zmqstream.py\", line 533, in flush\n", + " self._rebuild_io_state()\n", + " File \"/Users/joshuacoles/Library/Caches/pypoetry/virtualenvs/data-analysis-B4Au_hWl-py3.10/lib/python3.10/site-packages/zmq/eventloop/zmqstream.py\", line 698, in _rebuild_io_state\n", + " self._update_handler(state)\n", + " File \"/Users/joshuacoles/Library/Caches/pypoetry/virtualenvs/data-analysis-B4Au_hWl-py3.10/lib/python3.10/site-packages/zmq/eventloop/zmqstream.py\", line 715, in _update_handler\n", + " if state & self.socket.events:\n", + " File \"/Users/joshuacoles/Library/Caches/pypoetry/virtualenvs/data-analysis-B4Au_hWl-py3.10/lib/python3.10/site-packages/zmq/sugar/attrsettr.py\", line 55, in __getattr__\n", + " return self._get_attr_opt(upper_key, opt)\n", + " File \"/Users/joshuacoles/Library/Caches/pypoetry/virtualenvs/data-analysis-B4Au_hWl-py3.10/lib/python3.10/site-packages/zmq/sugar/attrsettr.py\", line 67, in _get_attr_opt\n", + " return self.get(opt)\n", + " File \"zmq/backend/cython/socket.pyx\", line 481, in zmq.backend.cython.socket.Socket.get\n", + "RecursionError: maximum recursion depth exceeded\n", + "\n", + "During handling of the above exception, another exception occurred:\n", + "\n", + "Traceback (most recent call last):\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/asyncio/events.py\", line 80, in _run\n", + " self._context.run(self._callback, *self._args)\n", + " File \"/Users/joshuacoles/Library/Caches/pypoetry/virtualenvs/data-analysis-B4Au_hWl-py3.10/lib/python3.10/site-packages/tornado/ioloop.py\", line 760, in _run_callback\n", + " app_log.error(\"Exception in callback %r\", callback, exc_info=True)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/logging/__init__.py\", line 1506, in error\n", + " self._log(ERROR, msg, args, **kwargs)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/logging/__init__.py\", line 1622, in _log\n", + " record = self.makeRecord(self.name, level, fn, lno, msg, args,\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/logging/__init__.py\", line 1591, in makeRecord\n", + " rv = _logRecordFactory(name, level, fn, lno, msg, args, exc_info, func,\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/logging/__init__.py\", line 309, in __init__\n", + " if (args and len(args) == 1 and isinstance(args[0], collections.abc.Mapping)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/abc.py\", line 119, in __instancecheck__\n", + " return _abc_instancecheck(cls, instance)\n", + "RecursionError: maximum recursion depth exceeded\n", + "\n", + "During handling of the above exception, another exception occurred:\n", + "\n", + "Traceback (most recent call last):\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/asyncio/base_events.py\", line 1770, in call_exception_handler\n", + " self.default_exception_handler(context)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/asyncio/base_events.py\", line 1741, in default_exception_handler\n", + " value = repr(value)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/asyncio/events.py\", line 61, in __repr__\n", + " info = self._repr_info()\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/asyncio/events.py\", line 112, in _repr_info\n", + " info = super()._repr_info()\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/asyncio/events.py\", line 51, in _repr_info\n", + " info.append(format_helpers._format_callback_source(\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/asyncio/format_helpers.py\", line 23, in _format_callback_source\n", + " func_repr = _format_callback(func, args, None)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/asyncio/format_helpers.py\", line 56, in _format_callback\n", + " func_repr += _format_args_and_kwargs(args, kwargs)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/asyncio/format_helpers.py\", line 38, in _format_args_and_kwargs\n", + " items.extend(reprlib.repr(arg) for arg in args)\n", + "RecursionError: maximum recursion depth exceeded\n", + "\n", + "During handling of the above exception, another exception occurred:\n", + "\n", + "Traceback (most recent call last):\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/runpy.py\", line 196, in _run_module_as_main\n", + " return _run_code(code, main_globals, None,\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/runpy.py\", line 86, in _run_code\n", + " exec(code, run_globals)\n", + " File \"/Users/joshuacoles/Library/Caches/pypoetry/virtualenvs/data-analysis-B4Au_hWl-py3.10/lib/python3.10/site-packages/ipykernel_launcher.py\", line 17, in \n", + " app.launch_new_instance()\n", + " File \"/Users/joshuacoles/Library/Caches/pypoetry/virtualenvs/data-analysis-B4Au_hWl-py3.10/lib/python3.10/site-packages/traitlets/config/application.py\", line 1043, in launch_instance\n", + " app.start()\n", + " File \"/Users/joshuacoles/Library/Caches/pypoetry/virtualenvs/data-analysis-B4Au_hWl-py3.10/lib/python3.10/site-packages/ipykernel/kernelapp.py\", line 725, in start\n", + " self.io_loop.start()\n", + " File \"/Users/joshuacoles/Library/Caches/pypoetry/virtualenvs/data-analysis-B4Au_hWl-py3.10/lib/python3.10/site-packages/tornado/platform/asyncio.py\", line 215, in start\n", + " self.asyncio_loop.run_forever()\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/asyncio/base_events.py\", line 600, in run_forever\n", + " self._run_once()\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/asyncio/base_events.py\", line 1896, in _run_once\n", + " handle._run()\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/asyncio/events.py\", line 94, in _run\n", + " self._loop.call_exception_handler(context)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/asyncio/base_events.py\", line 1777, in call_exception_handler\n", + " logger.error('Exception in default exception handler',\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/logging/__init__.py\", line 1506, in error\n", + " self._log(ERROR, msg, args, **kwargs)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/logging/__init__.py\", line 1624, in _log\n", + " self.handle(record)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/logging/__init__.py\", line 1634, in handle\n", + " self.callHandlers(record)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/logging/__init__.py\", line 1704, in callHandlers\n", + " lastResort.handle(record)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/logging/__init__.py\", line 968, in handle\n", + " self.emit(record)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/logging/__init__.py\", line 1100, in emit\n", + " msg = self.format(record)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/logging/__init__.py\", line 943, in format\n", + " return fmt.format(record)\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/logging/__init__.py\", line 679, in format\n", + " if self.usesTime():\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/logging/__init__.py\", line 647, in usesTime\n", + " return self._style.usesTime()\n", + " File \"/Users/joshuacoles/.pyenv/versions/3.10.6/lib/python3.10/logging/__init__.py\", line 424, in usesTime\n", + " return self._fmt.find(self.asctime_search) >= 0\n", + "RecursionError: maximum recursion depth exceeded while calling a Python object\n" + ] + } + ], + "source": [ + "%matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib as mpl\n", + "from mpl_toolkits.mplot3d import Axes3D\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ], + "text/plain": [ + " x y z N r cr fd run\n", + "0 0 0 0 1 1.000000 1.000000 NaN 1\n", + "1 0 0 1 2 1.000000 1.000000 inf 1\n", + "2 0 1 0 3 1.847759 1.847759 1.789348 1\n", + "3 0 2 0 4 2.797933 2.797933 1.347381 1\n", + "4 0 0 2 5 1.000000 2.797933 1.564261 1\n", + "... .. .. .. ... ... ... ... ..\n", + "4995 -1 16 28 4996 16.794095 30.454843 2.492910 1\n", + "4996 -8 -13 -7 4997 16.238796 30.454843 2.492969 1\n", + "4997 15 21 -10 4998 26.793874 30.454843 2.493028 1\n", + "4998 -1 -2 59 4999 3.200413 30.454843 2.493086 1\n", + "4999 15 -9 18 5000 18.464591 30.454843 2.493145 1\n", + "\n", + "[5000 rows x 8 columns]" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "run1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.6" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/notebooks/bc1.ipynb b/notebooks/bc1.ipynb new file mode 100644 index 0000000..2fd82d2 --- /dev/null +++ b/notebooks/bc1.ipynb @@ -0,0 +1,312 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "\"\"\"\n", + "Created on Mon Sep 16 09:47:15 2019\n", + "@author: daniel\n", + "\"\"\"\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "\n", + "def fractal_dimension(array, max_box_size=None, min_box_size=1, n_samples=20, n_offsets=0, plot=False):\n", + " \"\"\"Calculates the fractal dimension of a 3D numpy array.\n", + "\n", + " Args:\n", + " array (np.ndarray): The array to calculate the fractal dimension of.\n", + " max_box_size (int): The largest box size, given as the power of 2 so that\n", + " 2**max_box_size gives the sidelength of the largest box.\n", + " min_box_size (int): The smallest box size, given as the power of 2 so that\n", + " 2**min_box_size gives the sidelength of the smallest box.\n", + " Default value 1.\n", + " n_samples (int): number of scales to measure over.\n", + " n_offsets (int): number of offsets to search over to find the smallest set N(s) to\n", + " cover all voxels>0.\n", + " plot (bool): set to true to see the analytical plot of a calculation.\n", + "\n", + "\n", + " \"\"\"\n", + " # determine the scales to measure on\n", + " if max_box_size == None:\n", + " # default max size is the largest power of 2 that fits in the smallest dimension of the array:\n", + " max_box_size = int(np.floor(np.log2(np.min(array.shape))))\n", + " scales = np.floor(np.logspace(max_box_size, min_box_size, num=n_samples, base=2))\n", + " scales = np.unique(scales) # remove duplicates that could occur as a result of the floor\n", + "\n", + " # get the locations of all non-zero pixels\n", + " locs = np.where(array > 0)\n", + " voxels = np.array([(x, y, z) for x, y, z in zip(*locs)])\n", + "\n", + " # count the minimum amount of boxes touched\n", + " Ns = []\n", + " # loop over all scales\n", + " for scale in scales:\n", + " touched = []\n", + " if n_offsets == 0:\n", + " offsets = [0]\n", + " else:\n", + " offsets = np.linspace(0, scale, n_offsets)\n", + " # search over all offsets\n", + " for offset in offsets:\n", + " bin_edges = [np.arange(0, i, scale) for i in array.shape]\n", + " bin_edges = [np.hstack([0 - offset, x + offset]) for x in bin_edges]\n", + " H1, e = np.histogramdd(voxels, bins=bin_edges)\n", + " touched.append(np.sum(H1 > 0))\n", + " Ns.append(touched)\n", + " Ns = np.array(Ns)\n", + "\n", + " # From all sets N found, keep the smallest one at each scale\n", + " Ns = Ns.min(axis=1)\n", + "\n", + " # Only keep scales at which Ns changed\n", + " scales = np.array([np.min(scales[Ns == x]) for x in np.unique(Ns)])\n", + "\n", + " Ns = np.unique(Ns)\n", + " Ns = Ns[Ns > 0]\n", + " scales = scales[:len(Ns)]\n", + " # perform fit\n", + " coeffs = np.polyfit(np.log(1 / scales), np.log(Ns), 1)\n", + "\n", + " # make plot\n", + " if plot:\n", + " fig, ax = plt.subplots(figsize=(8, 6))\n", + " ax.scatter(np.log(1 / scales), np.log(np.unique(Ns)), c=\"teal\", label=\"Measured ratios\")\n", + " ax.set_ylabel(\"$\\log N(\\epsilon)$\")\n", + " ax.set_xlabel(\"$\\log 1/ \\epsilon$\")\n", + " fitted_y_vals = np.polyval(coeffs, np.log(1 / scales))\n", + " ax.plot(np.log(1 / scales), fitted_y_vals, \"k--\", label=f\"Fit: {np.round(coeffs[0], 3)}X+{coeffs[1]}\")\n", + " ax.legend();\n", + " return (coeffs[0])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "from lib.lib import read_xy_alt, read_load\n", + "\n", + "full_data = read_load(\"/Users/joshuacoles/Developer/checkouts/jc3091/CompB DLA/data-analysis/data/rust-3d\", read_xy_alt)\n", + "df = full_data[full_data.run == '1']" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "max_actual_radius = max(df.x.abs().max(), df.y.abs().max(), df.z.abs().max())\n", + "max_radius = int(np.exp2(np.floor(np.log2(max_actual_radius)) + 1))\n", + "data = np.zeros((max_radius * 2, max_radius * 2, max_radius * 2))\n", + "data[df.x + max_radius, df.y + max_radius, df.z + max_radius] = 1" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": "(128, 128, 128)" + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": "5000.0" + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": "(5000, 8)" + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "dfs = []\n", + "for _, df in full_data.groupby('run'):\n", + " max_actual_radius = max(df.x.abs().max(), df.y.abs().max(), df.z.abs().max())\n", + " max_radius = int(np.exp2(np.floor(np.log2(max_actual_radius)) + 1))\n", + " data = np.zeros((max_radius * 2, max_radius * 2, max_radius * 2))\n", + " data[df.x + max_radius, df.y + max_radius, df.z + max_radius] = 1\n", + " dfs.append(fractal_dimension(data))" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": "0.1543448984741014" + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.mean(np.array(dfs))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.scatter(run1.x, run1.y, run1.z)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from mpl_toolkits.mplot3d import Axes3D\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib as mpl\n", + "from mpl_toolkits.mplot3d import Axes3D\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fig = plt.figure(figsize=(10, 10))\n", + "ax = fig.add_subplot(projection='3d')\n", + "ax.scatter(run1.x, run1.y,run1.z, c=run1.N)\n", + "fig" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "run1" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'mpld3'", + "output_type": "error", + "traceback": [ + "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", + "\u001B[0;31mModuleNotFoundError\u001B[0m Traceback (most recent call last)", + "Cell \u001B[0;32mIn[24], line 1\u001B[0m\n\u001B[0;32m----> 1\u001B[0m \u001B[38;5;28;01mimport\u001B[39;00m \u001B[38;5;21;01mmatplotlib\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mpyplot\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m \u001B[38;5;21;01mplt\u001B[39;00m\u001B[38;5;241m,\u001B[39m \u001B[38;5;21;01mmpld3\u001B[39;00m\n", + "\u001B[0;31mModuleNotFoundError\u001B[0m: No module named 'mpld3'" + ] + } + ], + "source": [ + "import matplotlib.pyplot as plt, mpld3" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [], + "metadata": { + "collapsed": false + } + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.6" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/poetry.lock b/poetry.lock index 2af59ca..4c6e0aa 100644 --- a/poetry.lock +++ b/poetry.lock @@ -157,14 +157,14 @@ files = [ [[package]] name = "beautifulsoup4" -version = "4.11.2" +version = "4.12.0" description = "Screen-scraping library" category = "main" optional = false 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