Skip to content

Commit

Permalink
chore: update tests for newer matplotlib (#559)
Browse files Browse the repository at this point in the history 
* chore: update tests for newer matplotlib

* ci: fix matplotlib version

* test: update for matplotlib 3.7
  • Loading branch information
@agoose77
agoose77 committed Oct 27, 2023
1 parent 7dbdd31 commit 8428815
Show file tree
Hide file tree
Showing 9 changed files with 22 additions and 21 deletions.
3 changes: 2 additions & 1 deletion pyproject.toml
View file
Original file line number Diff line number Diff line change
Expand Up @@ -98,7 +98,8 @@ testing = [
"ipython!=8.1.0,<8.17",
"ipywidgets>=8",
"jupytext>=1.11.2,<1.16.0",
"matplotlib>=3.5.3,<3.6", # TODO mpl 3.6 subtly changes output of test regressions
# Matplotlib outputs are sensitive to the matplotlib version
"matplotlib==3.7.*",
"nbdime",
"numpy",
"pandas",
Expand Down
2 changes: 1 addition & 1 deletion tests/test_execute/test_complex_outputs_unrun_auto.ipynb
View file
Original file line number Diff line number Diff line change
Expand Up @@ -405,7 +405,7 @@
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAcMAAAAaCAYAAADLwDeNAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAABJ0AAASdAHeZh94AAALKElEQVR4nO2deawdVR3HPw8KLRRqK0GIhFWkgGhrBUUqaxVaKZSyhERQEGLEBLDIomz58lMWQYg1UYSI0lJbDVHEsFRUKBaCSFgegogsUhGxIFtZFSnPP85cet+82efMnXne+SYv8+6cc36/35zz+96zzO+cOzA0NEQUzGwt4ERJ8yMzxMDMogUWhKSBkPzZwMOSHvOpp0v+AcDrkm6uQn6/wMzGA6/6khf2A98ws48C75b0qyr15EVRHnrSXSmXAx2V8bnlsj/0whd8ogifBxI6wwuARZIeymHAR4BdJF2WtUxemNkA8CPgJEkveZa9A3CqpGN8yu039MIPqoCZXQJcJen+um3poAgPPentSRtWxeeWy/7QL3xeK0bIdGDdAgTcH7ghZ5lckDQEfA/4hk+5wQj8B8AZPuX2KSr3g4rwdeBSM1u7bkOgFA99oCdtWAWfWy57R1/wObIzBC4AriigfAtJfy9QLhck3Q3samZbeRR7FPCUpJUeZfYreuIHviFpFfAgcHTNpnRQlIc+0LM2rIDPLZf9oi/4PKIzNLP9gHGS/pxHsZltAvTS+X4KnOVDULBUczpuuaZFCdTgB77xQ8DMbFydRhTloSfddbShFz63XPaLfuJz1MzwGODWAkpnATcWKFcUy4HDzWx9D7L2ArYAbvEgq9/Raz/wCkl3AesBB9ZsSlEe+kAdbeiLz3vRctkn+obPY7o/BGurM4HjCuj9GHBVgXJF8QDuIfcEloYTg5e+FwG7Af/AfblsCnxZ0vRQ9kOBByS9VanF/YFe+0EVuA/nE1fXobwkD32gjjaM5XPL5VrRN3wOzwx3AiYAuaLpzGwdYLWkt/OUyyH/K2Y2ZGaf6dyT9G/gERxBwvl3AW4DlgEfAu4EDDgTODtCxZ64CmtRAnX4QUW4F+cTdaEQD32grjaM43PL5frQb3weE/o8Obj+K6eyTwC3xyWa2Qpgy5jkZyRtmiJ/5+B6d+j+c8B2EfkvAa6TdG6gfwlwHbBc0rDlEzNbF9gBWJJg/6G4ypwKTAE2BBZLOjLF7s6a+9PApbgvt/2BDwKbAW/iRsRXAldW5XQp9m0EzPVkV11+MKyeJZ1QUt/fgPeY2SaSnkmxqQoU5aEP1NaGRPO5qVw+B3+88QLPXIaafMEzlyEjn8Od4WbB9eUEwVHYD7gwJc8qYH7E/Swbs7+GC5N9NHT/ZdbYDICZbQrsDuzddftN3Cw4aiS5ZZC2KkH/WTjivAo8BWyfweYO5gTyH8KFe/8TN8p9EtgEOBgXMTjLzA4LQs17icOA73uyqy4/gDX1fI0HfR1f2BqoozMsykMfqLMNh/G5wVy+Br+88QXfNtXlCz653CkHKXwOd4bjgTcl/Scqc7B/Z62I9fhJkl5MMeglSeek5ImEpCdjklYR6gxxI0MYPtqYDPxFUtQoZ1JwTfriOQlHnMdwo8pliQYPx1zgedwS0IHADd2jMzM7A7gLOATntD/PIdsHctvVQD+ANfW83IO+ji9MzFkOADM7GjcS31vSrQVEJPLQBxrahmE+N5XLy4EBKuBzSd8p9B3TQF/wyWXIyOdwZ/g28RvxJwE/Cf4Wdt3fBni8gIGZYGZ74yLDLpZ0aih5DLA6dG8iMNS5b2Yb4t4vxIUHjw2ur8fZIOkdwphZVtMxswnAPsCSuCOhJK00s8uA83CRcD3tDMNLTWl2NdEPQvUc9oci6PhCXdsrYnnoA01swwBhPk+kmVxeTUy0ap18zstlaJ4vVMBlyMjncGf4CjDGzNaXFHaoD+CmmLPpqrTgc5bTCcaa2ZG4sOfXgD/i1v3THnhacL03Im1CYHM3BnGjttPNbDHwLdyywbZm9n5J4Sn5G8F1gwzPkBezgXWBX6Tk+29wbVoEXJRdTfSDpHouoq/jC28k5KkSSTz0gSa2IYzk8yCjj8vQTD7H2dQ0X/DNZcjI5/DoszNtnRDOGCxLnAvsG0QZdbCjpD+lGAMuFHoRbnQyHzcqeNTM0qJ80jrDYVNtSU/gRo9fwgWsvAJ8EncSwR0RMl7okuUbc3GN9uu4DGY2Bvhc8LExh0TH2dVQP0iq5yL6Or7wfIpNVSGWhz7Q0DaEEJ9HG5ehmXxOsqmBvuCby5CRz+HOsPPw4fdwAAQjsZXAHvDOLxO8lmIIuDXwGbiHGY+LdLoc2ApYamZTEspOw70gfSQi7b1dNnfbeb6kjSWNk3SEpBclTZe0cYSMJ3GjpXdleI7MCE48mAksDcLG4/BNXCj9jZJu8mlDScTa1SQ/SKnnovo6vlDZMlEKEnnoA01qwy6M4PMo4zI0k8+JNjXFFyriMmTk87BlUkmPmdlK4MPAPTFlrsdNZW/GjdJ+m6QgkBtenH8QOM7MXgVOZk2Y8jAEjbIdcEc4AsrMJuIq4rY0/Sm2vWVmDwLblpETgU/hpuexyypmdiLu+R8GPptFaEqIcRQyhY0XsKsRfkBCPRfVh/OFFRmCB9LaY1nEe6mFko5OkpnGQ48+0JQ29MLnOrkM+flche+UsKkJvlAFlyEjn8PvDAGuZc0UNgrX43rkk3AvY09PUpCCy3APskdM+hTc7DVqWWUqbi/KH0ro72AZzgF84mBcGHjkuruZHQ98B7flYoakF6LyReBxIG102o2nc+TNY1dT/CCxngvqm0b2KMP5jIxSm4oLD18IrAilDWaUey3xPPTlA01pQ/DH555zGQrzeT7V+E4Rm5rgC1VwGTLyOaozvBz4mZkNxOxHuQ23gXEyMDbDskESOpuKx8ekd74Mok6UmAlckXMTaRyuBk4ws/UklQ6aMHec1gHALXInp4fT5wHfxo1uZkh6NqtsSTPK2heHnHbV7gdp9VxEXxBmPgX3HiUVivjR3SA8fg6woODWCkjgoUcfqL0Nu+CLzz3lcpBnHgX4XKHvFLGpVl+ogsuB3Mx8HhG+LWkQtyclsqcN9qLchNu8OpjF2gTsGlz/GpMe+ZI1eMBZuNMpSkPSnbjlqE/7kIeru42ImO6b2VdxTjqI20uUuSOsEnntaoIfkFDPJfTtAzxLhmWiKpHGQ086mtCGXvncSy5DM/lcxKYG+EIVXIYcfI7by3Qm8IWEctcDR5DhNHMz2yFYIw7f3wr4bvDxxzHFp+GWg8I/bjoH9wvGPk/oOA34vCdZc3F7xX7ZfdPMzsa9zL4HN1p7zpO+UihhV91+EFnPJfUdA5zncY9TGaTx0AfqbkPwz+fKuQzN5HNJm+r0hSq4DDn4HLVMiqQnzGypmc2SNOIXIXCVdZ+kp9IUAIcDJ5vZctwZca8A78OdnzcukHVxuJCZjQV2BAbVdTKCmW0A7Ascn0F3ZkhabmbzovYvmdlBwEHBx84ZeB83swXB/89JOiXIOxDk/b26zsEzs6NwRw+txi1JnBjxgnyFpAXhm1WipF11+kFkPZfRZ2ab4SIaF9IAZOChD9TWhkGadz5XzeUgrXF89mBTLb5QBZcDubn4HNkZAkhabGaHxaQ9b2aHZFGAe3E5GRcZNx23tvsS7gDYRcCimHeTOwHrMHJZZTfgtIpG7l8ELjSzY0M2TcX9enY3tgn+wDXQKcH/OwObM/IMva2D69rAvBj9vwMW5LS5LArbVbMfxNVzGX0XAMd6eg/tBUk89CS/zjaE6vhcJZehmXwuZVONvlAFlyEnnweGhnp9LnSzYWbbA5tL+k3B8ufjIrG2kds03KIC+K5nM9sdGKOu47pajG60XB4dqKKei/C5svMPRyskPUy54Im5wP0teSqH73q+ve0I/7/QcnnUoIp6zs3ndmbYokWLFi36Hu3MsEWLFi1a9D3+B4gv68zv5KiRAAAAAElFTkSuQmCC",
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAcMAAAAaCAYAAADLwDeNAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/OQEPoAAAACXBIWXMAABJ0AAASdAHeZh94AAALKElEQVR4nO2deawdVR3HPw8KLRRqK0GIhFWkgGhrBUUqaxVaKZSyhERQEGLEBLDIomz58lMWQYg1UYSI0lJbDVHEsFRUKBaCSFgegogsUhGxIFtZFSnPP85cet+82efMnXne+SYv8+6cc36/35zz+96zzO+cOzA0NEQUzGwt4ERJ8yMzxMDMogUWhKSBkPzZwMOSHvOpp0v+AcDrkm6uQn6/wMzGA6/6khf2A98ws48C75b0qyr15EVRHnrSXSmXAx2V8bnlsj/0whd8ogifBxI6wwuARZIeymHAR4BdJF2WtUxemNkA8CPgJEkveZa9A3CqpGN8yu039MIPqoCZXQJcJen+um3poAgPPentSRtWxeeWy/7QL3xeK0bIdGDdAgTcH7ghZ5lckDQEfA/4hk+5wQj8B8AZPuX2KSr3g4rwdeBSM1u7bkOgFA99oCdtWAWfWy57R1/wObIzBC4AriigfAtJfy9QLhck3Q3samZbeRR7FPCUpJUeZfYreuIHviFpFfAgcHTNpnRQlIc+0LM2rIDPLZf9oi/4PKIzNLP9gHGS/pxHsZltAvTS+X4KnOVDULBUczpuuaZFCdTgB77xQ8DMbFydRhTloSfddbShFz63XPaLfuJz1MzwGODWAkpnATcWKFcUy4HDzWx9D7L2ArYAbvEgq9/Raz/wCkl3AesBB9ZsSlEe+kAdbeiLz3vRctkn+obPY7o/BGurM4HjCuj9GHBVgXJF8QDuIfcEloYTg5e+FwG7Af/AfblsCnxZ0vRQ9kOBByS9VanF/YFe+0EVuA/nE1fXobwkD32gjjaM5XPL5VrRN3wOzwx3AiYAuaLpzGwdYLWkt/OUyyH/K2Y2ZGaf6dyT9G/gERxBwvl3AW4DlgEfAu4EDDgTODtCxZ64CmtRAnX4QUW4F+cTdaEQD32grjaM43PL5frQb3weE/o8Obj+K6eyTwC3xyWa2Qpgy5jkZyRtmiJ/5+B6d+j+c8B2EfkvAa6TdG6gfwlwHbBc0rDlEzNbF9gBWJJg/6G4ypwKTAE2BBZLOjLF7s6a+9PApbgvt/2BDwKbAW/iRsRXAldW5XQp9m0EzPVkV11+MKyeJZ1QUt/fgPeY2SaSnkmxqQoU5aEP1NaGRPO5qVw+B3+88QLPXIaafMEzlyEjn8Od4WbB9eUEwVHYD7gwJc8qYH7E/Swbs7+GC5N9NHT/ZdbYDICZbQrsDuzddftN3Cw4aiS5ZZC2KkH/WTjivAo8BWyfweYO5gTyH8KFe/8TN8p9EtgEOBgXMTjLzA4LQs17icOA73uyqy4/gDX1fI0HfR1f2BqoozMsykMfqLMNh/G5wVy+Br+88QXfNtXlCz653CkHKXwOd4bjgTcl/Scqc7B/Z62I9fhJkl5MMeglSeek5ImEpCdjklYR6gxxI0MYPtqYDPxFUtQoZ1JwTfriOQlHnMdwo8pliQYPx1zgedwS0IHADd2jMzM7A7gLOATntD/PIdsHctvVQD+ANfW83IO+ji9MzFkOADM7GjcS31vSrQVEJPLQBxrahmE+N5XLy4EBKuBzSd8p9B3TQF/wyWXIyOdwZ/g28RvxJwE/Cf4Wdt3fBni8gIGZYGZ74yLDLpZ0aih5DLA6dG8iMNS5b2Yb4t4vxIUHjw2ur8fZIOkdwphZVtMxswnAPsCSuCOhJK00s8uA83CRcD3tDMNLTWl2NdEPQvUc9oci6PhCXdsrYnnoA01swwBhPk+kmVxeTUy0ap18zstlaJ4vVMBlyMjncGf4CjDGzNaXFHaoD+CmmLPpqrTgc5bTCcaa2ZG4sOfXgD/i1v3THnhacL03Im1CYHM3BnGjttPNbDHwLdyywbZm9n5J4Sn5G8F1gwzPkBezgXWBX6Tk+29wbVoEXJRdTfSDpHouoq/jC28k5KkSSTz0gSa2IYzk8yCjj8vQTD7H2dQ0X/DNZcjI5/DoszNtnRDOGCxLnAvsG0QZdbCjpD+lGAMuFHoRbnQyHzcqeNTM0qJ80jrDYVNtSU/gRo9fwgWsvAJ8EncSwR0RMl7okuUbc3GN9uu4DGY2Bvhc8LExh0TH2dVQP0iq5yL6Or7wfIpNVSGWhz7Q0DaEEJ9HG5ehmXxOsqmBvuCby5CRz+HOsPPw4fdwAAQjsZXAHvDOLxO8lmIIuDXwGbiHGY+LdLoc2ApYamZTEspOw70gfSQi7b1dNnfbeb6kjSWNk3SEpBclTZe0cYSMJ3GjpXdleI7MCE48mAksDcLG4/BNXCj9jZJu8mlDScTa1SQ/SKnnovo6vlDZMlEKEnnoA01qwy6M4PMo4zI0k8+JNjXFFyriMmTk87BlUkmPmdlK4MPAPTFlrsdNZW/GjdJ+m6QgkBtenH8QOM7MXgVOZk2Y8jAEjbIdcEc4AsrMJuIq4rY0/Sm2vWVmDwLblpETgU/hpuexyypmdiLu+R8GPptFaEqIcRQyhY0XsKsRfkBCPRfVh/OFFRmCB9LaY1nEe6mFko5OkpnGQ48+0JQ29MLnOrkM+flche+UsKkJvlAFlyEjn8PvDAGuZc0UNgrX43rkk3AvY09PUpCCy3APskdM+hTc7DVqWWUqbi/KH0ro72AZzgF84mBcGHjkuruZHQ98B7flYoakF6LyReBxIG102o2nc+TNY1dT/CCxngvqm0b2KMP5jIxSm4oLD18IrAilDWaUey3xPPTlA01pQ/DH555zGQrzeT7V+E4Rm5rgC1VwGTLyOaozvBz4mZkNxOxHuQ23gXEyMDbDskESOpuKx8ekd74Mok6UmAlckXMTaRyuBk4ws/UklQ6aMHec1gHALXInp4fT5wHfxo1uZkh6NqtsSTPK2heHnHbV7gdp9VxEXxBmPgX3HiUVivjR3SA8fg6woODWCkjgoUcfqL0Nu+CLzz3lcpBnHgX4XKHvFLGpVl+ogsuB3Mx8HhG+LWkQtyclsqcN9qLchNu8OpjF2gTsGlz/GpMe+ZI1eMBZuNMpSkPSnbjlqE/7kIeru42ImO6b2VdxTjqI20uUuSOsEnntaoIfkFDPJfTtAzxLhmWiKpHGQ086mtCGXvncSy5DM/lcxKYG+EIVXIYcfI7by3Qm8IWEctcDR5DhNHMz2yFYIw7f3wr4bvDxxzHFp+GWg8I/bjoH9wvGPk/oOA34vCdZc3F7xX7ZfdPMzsa9zL4HN1p7zpO+UihhV91+EFnPJfUdA5zncY9TGaTx0AfqbkPwz+fKuQzN5HNJm+r0hSq4DDn4HLVMiqQnzGypmc2SNOIXIXCVdZ+kp9IUAIcDJ5vZctwZca8A78OdnzcukHVxuJCZjQV2BAbVdTKCmW0A7Ascn0F3ZkhabmbzovYvmdlBwEHBx84ZeB83swXB/89JOiXIOxDk/b26zsEzs6NwRw+txi1JnBjxgnyFpAXhm1WipF11+kFkPZfRZ2ab4SIaF9IAZOChD9TWhkGadz5XzeUgrXF89mBTLb5QBZcDubn4HNkZAkhabGaHxaQ9b2aHZFGAe3E5GRcZNx23tvsS7gDYRcCimHeTOwHrMHJZZTfgtIpG7l8ELjSzY0M2TcX9enY3tgn+wDXQKcH/OwObM/IMva2D69rAvBj9vwMW5LS5LArbVbMfxNVzGX0XAMd6eg/tBUk89CS/zjaE6vhcJZehmXwuZVONvlAFlyEnnweGhnp9LnSzYWbbA5tL+k3B8ufjIrG2kds03KIC+K5nM9sdGKOu47pajG60XB4dqKKei/C5svMPRyskPUy54Im5wP0teSqH73q+ve0I/7/QcnnUoIp6zs3ndmbYokWLFi36Hu3MsEWLFi1a9D3+B4gv68zv5KiRAAAAAElFTkSuQmCC",
"text/latex": [
"$\\displaystyle \\left(\\sqrt{5} i\\right)^{\\alpha} \\left(\\frac{1}{2} - \\frac{2 \\sqrt{5} i}{5}\\right) + \\left(- \\sqrt{5} i\\right)^{\\alpha} \\left(\\frac{1}{2} + \\frac{2 \\sqrt{5} i}{5}\\right)$"
],
Expand Down
2 changes: 1 addition & 1 deletion tests/test_execute/test_complex_outputs_unrun_auto.xml
View file
Original file line number Diff line number Diff line change
Expand Up @@ -214,7 +214,7 @@
(√5⋅ⅈ) ⋅⎜─ - ──────⎟ + (-√5⋅ⅈ) ⋅⎜─ + ──────⎟
⎝2 5 ⎠ ⎝2 5 ⎠
<container mime_type="image/png">
<image candidates="{'*': '_build/jupyter_execute/e2dfbe330154316cfb6f3186e8f57fc4df8aee03b0303ed1345fc22cd51f66de.png'}" uri="_build/jupyter_execute/e2dfbe330154316cfb6f3186e8f57fc4df8aee03b0303ed1345fc22cd51f66de.png">
<image candidates="{'*': '_build/jupyter_execute/a04ee1a78ad33a6345469c5f6d84ff6ef0bfcb4d9e3a8d10eaa7ea3f445bbc5c.png'}" uri="_build/jupyter_execute/a04ee1a78ad33a6345469c5f6d84ff6ef0bfcb4d9e3a8d10eaa7ea3f445bbc5c.png">
<container mime_type="text/latex">
<math_block classes="output text_latex" nowrap="False" number="True" xml:space="preserve">
\displaystyle \left(\sqrt{5} i\right)^{\alpha} \left(\frac{1}{2} - \frac{2 \sqrt{5} i}{5}\right) + \left(- \sqrt{5} i\right)^{\alpha} \left(\frac{1}{2} + \frac{2 \sqrt{5} i}{5}\right)
Expand Down
2 changes: 1 addition & 1 deletion tests/test_execute/test_complex_outputs_unrun_cache.ipynb
View file
Original file line number Diff line number Diff line change
Expand Up @@ -405,7 +405,7 @@
"outputs": [
{
"data": {
"image/png": "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",
"image/png": "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",
"text/latex": [
"$\\displaystyle \\left(\\sqrt{5} i\\right)^{\\alpha} \\left(\\frac{1}{2} - \\frac{2 \\sqrt{5} i}{5}\\right) + \\left(- \\sqrt{5} i\\right)^{\\alpha} \\left(\\frac{1}{2} + \\frac{2 \\sqrt{5} i}{5}\\right)$"
],
Expand Down
2 changes: 1 addition & 1 deletion tests/test_execute/test_complex_outputs_unrun_cache.xml
View file
Original file line number Diff line number Diff line change
Expand Up @@ -214,7 +214,7 @@
(√5⋅ⅈ) ⋅⎜─ - ──────⎟ + (-√5⋅ⅈ) ⋅⎜─ + ──────⎟
⎝2 5 ⎠ ⎝2 5 ⎠
<container mime_type="image/png">
<image candidates="{'*': '_build/jupyter_execute/e2dfbe330154316cfb6f3186e8f57fc4df8aee03b0303ed1345fc22cd51f66de.png'}" uri="_build/jupyter_execute/e2dfbe330154316cfb6f3186e8f57fc4df8aee03b0303ed1345fc22cd51f66de.png">
<image candidates="{'*': '_build/jupyter_execute/a04ee1a78ad33a6345469c5f6d84ff6ef0bfcb4d9e3a8d10eaa7ea3f445bbc5c.png'}" uri="_build/jupyter_execute/a04ee1a78ad33a6345469c5f6d84ff6ef0bfcb4d9e3a8d10eaa7ea3f445bbc5c.png">
<container mime_type="text/latex">
<math_block classes="output text_latex" nowrap="False" number="True" xml:space="preserve">
\displaystyle \left(\sqrt{5} i\right)^{\alpha} \left(\frac{1}{2} - \frac{2 \sqrt{5} i}{5}\right) + \left(- \sqrt{5} i\right)^{\alpha} \left(\frac{1}{2} + \frac{2 \sqrt{5} i}{5}\right)
Expand Down
Loading

0 comments on commit 8428815

Please sign in to comment.