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minrkminrk
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lint fixes
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4 files changed

+11
-109
lines changed

4 files changed

+11
-109
lines changed

‎docs/source/examples/Futures.ipynb

+2-2
Original file line numberDiff line numberDiff line change
@@ -186,7 +186,7 @@
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],
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"source": [
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"f = rc[-1].apply(os.getpid)\n",
189-
"f.add_done_callback(lambda _: print(\"I got PID: %i\" % _.result()))\n",
189+
"f.add_done_callback(lambda _: print(f\"I got PID: {_.result()}\"))\n",
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"f.result()"
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]
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},
@@ -602,7 +602,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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"version": "3.11.10"
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},
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"widgets": {
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"application/vnd.jupyter.widget-state+json": {

‎docs/source/examples/Monitoring an MPI Simulation - 1.ipynb

+3-3
Original file line numberDiff line numberDiff line change
@@ -127,7 +127,7 @@
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"bcast = mpi.bcast\n",
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"barrier = mpi.barrier\n",
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"rank = mpi.rank\n",
130-
"print(\"MPI rank: %i/%i\" % (mpi.rank, mpi.size))"
130+
"print(f\"MPI rank: {mpi.rank}/{mpi.size}\")"
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]
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},
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{
@@ -300,7 +300,7 @@
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" nx, nyt, j, nsteps = view.pull(['nx', 'nyt', 'j', 'nsteps'], targets=0, block=True)\n",
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" fig, ax = plt.subplots()\n",
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" ax.contourf(Z)\n",
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" ax.set_title('Mesh: %i x %i, step %i/%i' % (nx, nyt, j + 1, nsteps))\n",
303+
" ax.set_title(f\"Mesh: {nx} x {nyt}, step {j + 1}/{nsteps}\")\n",
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" plt.axis('off')\n",
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" # We clear the notebook output before plotting this if in-place plot updating is requested\n",
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" if in_place:\n",
@@ -566,7 +566,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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"version": "3.11.10"
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},
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"widgets": {
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"application/vnd.jupyter.widget-state+json": {

‎docs/source/examples/Monitoring an MPI Simulation - 2.ipynb

+3-3
Original file line numberDiff line numberDiff line change
@@ -119,7 +119,7 @@
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"bcast = mpi.bcast\n",
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"barrier = mpi.barrier\n",
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"rank = mpi.rank\n",
122-
"print(\"MPI rank: %i/%i\" % (mpi.rank, mpi.size))"
122+
"print(f\"MPI rank: {mpi.rank}/{mpi.size}\")"
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]
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},
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{
@@ -270,7 +270,7 @@
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" else:\n",
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" fig, ax = plt.subplots()\n",
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" ax.contourf(Z)\n",
273-
" ax.set_title(\"Mesh: %i x %i, step %i/%i\" % (nx, nyt, j + 1, nsteps))\n",
273+
" ax.set_title(f\"Mesh: {nx} x {nyt}, step {j + 1}/{nsteps}\")\n",
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" plt.axis(\"off\")\n",
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" # We clear the notebook output before plotting this if in-place\n",
276276
" # plot updating is requested\n",
@@ -420,7 +420,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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"version": "3.11.10"
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},
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"widgets": {
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"application/vnd.jupyter.widget-state+json": {

‎docs/source/examples/Using Dill.ipynb

+3-101
Original file line numberDiff line numberDiff line change
@@ -44,7 +44,7 @@
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"\n",
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" def has_closure(b):\n",
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" product = a * b\n",
47-
" f.write(\"%i: %g\\n\" % (os.getpid(), product))\n",
47+
" f.write(f\"{os.getpid()}: {product:g}\\n\")\n",
4848
" f.flush()\n",
4949
" return product\n",
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"\n",
@@ -596,109 +596,11 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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"version": "3.11.10"
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},
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"widgets": {
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"application/vnd.jupyter.widget-state+json": {
603-
"state": {
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"1086f7640c6148b7bb5cd4202d114ba3": {
605-
"model_module": "@jupyter-widgets/controls",
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"model_module_version": "2.0.0",
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"model_name": "HTMLStyleModel",
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"state": {
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"description_width": "",
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"font_size": null,
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"text_color": null
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}
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},
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"37585be691034dba9d04f0c82d2d8a51": {
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"model_module": "@jupyter-widgets/base",
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"model_module_version": "2.0.0",
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"model_name": "LayoutModel",
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"state": {}
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},
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"610913dc61674fd5ac61f9f8fa714f47": {
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"model_module": "@jupyter-widgets/base",
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"model_module_version": "2.0.0",
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"model_name": "LayoutModel",
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"state": {}
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},
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"61aff84b5838480c92987db3608a698d": {
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"model_module": "@jupyter-widgets/controls",
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"model_module_version": "2.0.0",
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"model_name": "HTMLStyleModel",
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"state": {
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"description_width": "",
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"font_size": null,
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"text_color": null
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}
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},
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"86f27c1b3bf840c8b0b5c0323f0d6264": {
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"model_module": "@jupyter-widgets/controls",
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"model_module_version": "2.0.0",
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"model_name": "FloatProgressModel",
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"state": {
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"bar_style": "success",
642-
"layout": "IPY_MODEL_b2ded84395ea4d53891f184694793eff",
643-
"max": 2,
644-
"style": "IPY_MODEL_f458c2a21bc24550b2a0dd2b7f014046",
645-
"value": 2
646-
}
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},
648-
"8bdc6187bd964e89acfe57c818fccec6": {
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"model_module": "@jupyter-widgets/controls",
650-
"model_module_version": "2.0.0",
651-
"model_name": "HTMLModel",
652-
"state": {
653-
"layout": "IPY_MODEL_e2955a27d1a3468582d3cd1466737ba7",
654-
"style": "IPY_MODEL_61aff84b5838480c92987db3608a698d",
655-
"value": "100%"
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}
657-
},
658-
"a6d41c9031314b94851b72e499e8afbe": {
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"model_module": "@jupyter-widgets/controls",
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"model_module_version": "2.0.0",
661-
"model_name": "HTMLModel",
662-
"state": {
663-
"layout": "IPY_MODEL_37585be691034dba9d04f0c82d2d8a51",
664-
"style": "IPY_MODEL_1086f7640c6148b7bb5cd4202d114ba3",
665-
"value": " 2/2 [00:00<00:00,  1.18engine/s]"
666-
}
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},
668-
"b2ded84395ea4d53891f184694793eff": {
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"model_module": "@jupyter-widgets/base",
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"model_module_version": "2.0.0",
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"model_name": "LayoutModel",
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"state": {}
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},
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"d2ece3d105ca4c488a76246625ef8962": {
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"model_module": "@jupyter-widgets/controls",
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"model_module_version": "2.0.0",
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"model_name": "HBoxModel",
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"state": {
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"children": [
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"IPY_MODEL_8bdc6187bd964e89acfe57c818fccec6",
681-
"IPY_MODEL_86f27c1b3bf840c8b0b5c0323f0d6264",
682-
"IPY_MODEL_a6d41c9031314b94851b72e499e8afbe"
683-
],
684-
"layout": "IPY_MODEL_610913dc61674fd5ac61f9f8fa714f47"
685-
}
686-
},
687-
"e2955a27d1a3468582d3cd1466737ba7": {
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"model_module": "@jupyter-widgets/base",
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"model_module": "@jupyter-widgets/controls",
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"model_module_version": "2.0.0",
696-
"model_name": "ProgressStyleModel",
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"state": {
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"description_width": ""
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}
700-
}
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},
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"state": {},
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"version_major": 2,
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"version_minor": 0
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}

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