From bccda41a3636621062165dd5edd8aba686d7f57e Mon Sep 17 00:00:00 2001
From: Boris Basic <boris.basic@edf.fr>
Date: Fri, 29 Nov 2024 18:04:24 +0100
Subject: [PATCH] [notebooks] Update notebooks ahead of new release
---
notebooks/compilation/compilation.ipynb | 32 +-
.../data_manip/computation/flow_rate.ipynb | 122 +-
.../data_manip/computation/scalar_flux.ipynb | 80 +-
.../computation/solid_discharge.ipynb | 56 +-
.../data_manip/computation/statistics.ipynb | 88 +-
.../computation/volume_calculation.ipynb | 87 +-
.../data_manip/computation/wet_section.ipynb | 96 +-
.../data_manip/extraction/3d_extraction.ipynb | 32 +-
.../extraction/courlis_extract.ipynb | 71 +-
notebooks/data_manip/extraction/csv.ipynb | 32 +-
.../extraction/example_mesh_data.ipynb | 8 +-
notebooks/data_manip/extraction/extract.ipynb | 114 +-
.../extraction/output_file_extraction.ipynb | 143 +-
.../data_manip/extraction/regular_grid.ipynb | 40 +-
.../extraction/shape_file_reader.ipynb | 40 +-
.../data_manip/extraction/telemac_file.ipynb | 153 +-
notebooks/execution/execution.ipynb | 139 +-
notebooks/execution/partel-gretel.ipynb | 56 +-
notebooks/execution/steering_file.ipynb | 370 +-
notebooks/optim/genop.ipynb | 126 +-
notebooks/optim/telemac2d_optim_genop.ipynb | 174 +-
notebooks/optim/telemac2d_optim_newop.ipynb | 131 +-
notebooks/postel/amp2wave.ipynb | 324 +-
notebooks/postel/example_courlis.ipynb | 527 +-
notebooks/postel/example_follium.ipynb | 106 +-
notebooks/postel/example_mascaret.ipynb | 528 +-
notebooks/postel/example_plot1d.ipynb | 48 +-
notebooks/postel/example_plot2d.ipynb | 144 +-
.../postel/example_plot2d_advanced.ipynb | 80 +-
.../example_plot2d_background_map.ipynb | 102 +-
notebooks/postel/example_plot3d.ipynb | 24 +-
notebooks/postel/example_plot_deco.ipynb | 8 +-
notebooks/postel/plot.ipynb | 280 +-
notebooks/postel/spectrum.ipynb | 24 +-
notebooks/pretel/alter.ipynb | 4027 ++---------
notebooks/pretel/check_cas.ipynb | 124 +-
notebooks/pretel/converter.ipynb | 251 +-
notebooks/pretel/corine_land_cover.ipynb | 51 +-
notebooks/pretel/courlis_convert.ipynb | 46 +-
notebooks/pretel/data2srf.ipynb | 565 +-
notebooks/pretel/diff.ipynb | 50 +-
notebooks/pretel/extract_contour.ipynb | 106 +-
notebooks/pretel/interpolation.ipynb | 136 +-
.../pretel/interpolation_by_region.ipynb | 104 +-
notebooks/pretel/makespectrum.ipynb | 48 +-
notebooks/pretel/merge.ipynb | 38 +-
notebooks/pretel/refine.ipynb | 97 +-
notebooks/pretel/scan.ipynb | 56 +-
notebooks/pretel/tel2tom.ipynb | 38 +-
notebooks/pretel/tif_to_slf.ipynb | 112 +-
notebooks/telapy/hermes.ipynb | 58 +-
notebooks/telapy/mascaret_example.ipynb | 136 +-
notebooks/telapy/telemac2d.ipynb | 330 +-
notebooks/telapy/telemac2d_example.ipynb | 162 +-
notebooks/workshop/Presentation.ipynb | 146 +-
notebooks/workshop/exo_fluxes.ipynb | 24 +-
notebooks/workshop/exo_mascaret.ipynb | 40 +-
notebooks/workshop/exo_telemac2d.ipynb | 8 +-
notebooks/workshop/exo_telemac3d.ipynb | 16 +-
notebooks/workshop/exo_tomawac.ipynb | 8 +-
notebooks/workshop/exo_volume.ipynb | 8 +-
notebooks/workshop/solutions/exo_fluxes.ipynb | 80 +-
.../workshop/solutions/exo_mascaret.ipynb | 6096 +++++++++--------
.../workshop/solutions/exo_telemac2d.ipynb | 50 +-
.../workshop/solutions/exo_telemac3d.ipynb | 40 +-
.../workshop/solutions/exo_tomawac.ipynb | 40 +-
notebooks/workshop/solutions/exo_volume.ipynb | 274 +-
67 files changed, 7481 insertions(+), 10269 deletions(-)
diff --git a/notebooks/compilation/compilation.ipynb b/notebooks/compilation/compilation.ipynb
index 83a1f9fc04..7c48c1818f 100644
--- a/notebooks/compilation/compilation.ipynb
+++ b/notebooks/compilation/compilation.ipynb
@@ -43,10 +43,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:27.555354Z",
- "iopub.status.busy": "2023-12-01T10:19:27.554867Z",
- "iopub.status.idle": "2023-12-01T10:19:27.755330Z",
- "shell.execute_reply": "2023-12-01T10:19:27.752491Z"
+ "iopub.execute_input": "2024-11-29T15:13:28.571673Z",
+ "iopub.status.busy": "2024-11-29T15:13:28.571396Z",
+ "iopub.status.idle": "2024-11-29T15:13:28.816106Z",
+ "shell.execute_reply": "2024-11-29T15:13:28.815321Z"
}
},
"outputs": [
@@ -58,13 +58,7 @@
"\r\n",
"Loading Options and Configurations\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
- "\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "\r\n",
" _ \r\n",
" (_) \r\n",
" _ __ ___ __ _ _ _ __ \r\n",
@@ -72,7 +66,13 @@
" | | | | | || (_| || || | | |\r\n",
" |_| |_| |_| \\__,_||_||_| |_|\r\n",
" \r\n",
- " \r\n",
+ " \r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"\r\n",
"\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
@@ -124,10 +124,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:27.765667Z",
- "iopub.status.busy": "2023-12-01T10:19:27.764920Z",
- "iopub.status.idle": "2023-12-01T10:19:27.944993Z",
- "shell.execute_reply": "2023-12-01T10:19:27.941802Z"
+ "iopub.execute_input": "2024-11-29T15:13:28.819452Z",
+ "iopub.status.busy": "2024-11-29T15:13:28.819144Z",
+ "iopub.status.idle": "2024-11-29T15:13:29.029829Z",
+ "shell.execute_reply": "2024-11-29T15:13:29.029055Z"
}
},
"outputs": [
diff --git a/notebooks/data_manip/computation/flow_rate.ipynb b/notebooks/data_manip/computation/flow_rate.ipynb
index e6210032fe..2b907b9fbc 100644
--- a/notebooks/data_manip/computation/flow_rate.ipynb
+++ b/notebooks/data_manip/computation/flow_rate.ipynb
@@ -20,10 +20,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.095395Z",
- "iopub.status.busy": "2023-12-01T10:19:29.094512Z",
- "iopub.status.idle": "2023-12-01T10:19:29.137064Z",
- "shell.execute_reply": "2023-12-01T10:19:29.136479Z"
+ "iopub.execute_input": "2024-11-29T15:13:30.236812Z",
+ "iopub.status.busy": "2024-11-29T15:13:30.236544Z",
+ "iopub.status.idle": "2024-11-29T15:13:30.323523Z",
+ "shell.execute_reply": "2024-11-29T15:13:30.322892Z"
}
},
"outputs": [],
@@ -52,10 +52,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.139373Z",
- "iopub.status.busy": "2023-12-01T10:19:29.139135Z",
- "iopub.status.idle": "2023-12-01T10:19:29.142004Z",
- "shell.execute_reply": "2023-12-01T10:19:29.141626Z"
+ "iopub.execute_input": "2024-11-29T15:13:30.326719Z",
+ "iopub.status.busy": "2024-11-29T15:13:30.326380Z",
+ "iopub.status.idle": "2024-11-29T15:13:30.329844Z",
+ "shell.execute_reply": "2024-11-29T15:13:30.329249Z"
}
},
"outputs": [],
@@ -83,10 +83,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.143819Z",
- "iopub.status.busy": "2023-12-01T10:19:29.143637Z",
- "iopub.status.idle": "2023-12-01T10:19:29.146681Z",
- "shell.execute_reply": "2023-12-01T10:19:29.146313Z"
+ "iopub.execute_input": "2024-11-29T15:13:30.332552Z",
+ "iopub.status.busy": "2024-11-29T15:13:30.332275Z",
+ "iopub.status.idle": "2024-11-29T15:13:30.336146Z",
+ "shell.execute_reply": "2024-11-29T15:13:30.335528Z"
}
},
"outputs": [],
@@ -106,10 +106,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.148636Z",
- "iopub.status.busy": "2023-12-01T10:19:29.148453Z",
- "iopub.status.idle": "2023-12-01T10:19:29.151148Z",
- "shell.execute_reply": "2023-12-01T10:19:29.150771Z"
+ "iopub.execute_input": "2024-11-29T15:13:30.338942Z",
+ "iopub.status.busy": "2024-11-29T15:13:30.338668Z",
+ "iopub.status.idle": "2024-11-29T15:13:30.342159Z",
+ "shell.execute_reply": "2024-11-29T15:13:30.341556Z"
}
},
"outputs": [],
@@ -130,10 +130,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.153003Z",
- "iopub.status.busy": "2023-12-01T10:19:29.152821Z",
- "iopub.status.idle": "2023-12-01T10:19:29.156018Z",
- "shell.execute_reply": "2023-12-01T10:19:29.155528Z"
+ "iopub.execute_input": "2024-11-29T15:13:30.344983Z",
+ "iopub.status.busy": "2024-11-29T15:13:30.344712Z",
+ "iopub.status.idle": "2024-11-29T15:13:30.349017Z",
+ "shell.execute_reply": "2024-11-29T15:13:30.348393Z"
}
},
"outputs": [
@@ -162,10 +162,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.157859Z",
- "iopub.status.busy": "2023-12-01T10:19:29.157673Z",
- "iopub.status.idle": "2023-12-01T10:19:29.160968Z",
- "shell.execute_reply": "2023-12-01T10:19:29.160583Z"
+ "iopub.execute_input": "2024-11-29T15:13:30.351761Z",
+ "iopub.status.busy": "2024-11-29T15:13:30.351486Z",
+ "iopub.status.idle": "2024-11-29T15:13:30.356251Z",
+ "shell.execute_reply": "2024-11-29T15:13:30.355635Z"
}
},
"outputs": [
@@ -196,10 +196,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.162860Z",
- "iopub.status.busy": "2023-12-01T10:19:29.162672Z",
- "iopub.status.idle": "2023-12-01T10:19:29.166432Z",
- "shell.execute_reply": "2023-12-01T10:19:29.166054Z"
+ "iopub.execute_input": "2024-11-29T15:13:30.359058Z",
+ "iopub.status.busy": "2024-11-29T15:13:30.358779Z",
+ "iopub.status.idle": "2024-11-29T15:13:30.364477Z",
+ "shell.execute_reply": "2024-11-29T15:13:30.363872Z"
}
},
"outputs": [
@@ -247,10 +247,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.168365Z",
- "iopub.status.busy": "2023-12-01T10:19:29.168124Z",
- "iopub.status.idle": "2023-12-01T10:19:29.384807Z",
- "shell.execute_reply": "2023-12-01T10:19:29.384177Z"
+ "iopub.execute_input": "2024-11-29T15:13:30.367398Z",
+ "iopub.status.busy": "2024-11-29T15:13:30.367110Z",
+ "iopub.status.idle": "2024-11-29T15:13:30.689932Z",
+ "shell.execute_reply": "2024-11-29T15:13:30.689275Z"
}
},
"outputs": [],
@@ -272,10 +272,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.387065Z",
- "iopub.status.busy": "2023-12-01T10:19:29.386820Z",
- "iopub.status.idle": "2023-12-01T10:19:29.390346Z",
- "shell.execute_reply": "2023-12-01T10:19:29.389866Z"
+ "iopub.execute_input": "2024-11-29T15:13:30.693039Z",
+ "iopub.status.busy": "2024-11-29T15:13:30.692702Z",
+ "iopub.status.idle": "2024-11-29T15:13:30.698685Z",
+ "shell.execute_reply": "2024-11-29T15:13:30.698061Z"
}
},
"outputs": [],
@@ -304,10 +304,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.392314Z",
- "iopub.status.busy": "2023-12-01T10:19:29.392077Z",
- "iopub.status.idle": "2023-12-01T10:19:29.747114Z",
- "shell.execute_reply": "2023-12-01T10:19:29.746626Z"
+ "iopub.execute_input": "2024-11-29T15:13:30.701511Z",
+ "iopub.status.busy": "2024-11-29T15:13:30.701225Z",
+ "iopub.status.idle": "2024-11-29T15:13:31.301527Z",
+ "shell.execute_reply": "2024-11-29T15:13:31.300875Z"
}
},
"outputs": [
@@ -352,10 +352,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.749341Z",
- "iopub.status.busy": "2023-12-01T10:19:29.749125Z",
- "iopub.status.idle": "2023-12-01T10:19:29.752905Z",
- "shell.execute_reply": "2023-12-01T10:19:29.752519Z"
+ "iopub.execute_input": "2024-11-29T15:13:31.305055Z",
+ "iopub.status.busy": "2024-11-29T15:13:31.304764Z",
+ "iopub.status.idle": "2024-11-29T15:13:31.345044Z",
+ "shell.execute_reply": "2024-11-29T15:13:31.344417Z"
}
},
"outputs": [],
@@ -382,10 +382,10 @@
"execution_count": 12,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.754776Z",
- "iopub.status.busy": "2023-12-01T10:19:29.754589Z",
- "iopub.status.idle": "2023-12-01T10:19:29.787849Z",
- "shell.execute_reply": "2023-12-01T10:19:29.787296Z"
+ "iopub.execute_input": "2024-11-29T15:13:31.347862Z",
+ "iopub.status.busy": "2024-11-29T15:13:31.347571Z",
+ "iopub.status.idle": "2024-11-29T15:13:31.396509Z",
+ "shell.execute_reply": "2024-11-29T15:13:31.395850Z"
}
},
"outputs": [],
@@ -415,10 +415,10 @@
"execution_count": 13,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.789914Z",
- "iopub.status.busy": "2023-12-01T10:19:29.789706Z",
- "iopub.status.idle": "2023-12-01T10:19:29.792974Z",
- "shell.execute_reply": "2023-12-01T10:19:29.792557Z"
+ "iopub.execute_input": "2024-11-29T15:13:31.399547Z",
+ "iopub.status.busy": "2024-11-29T15:13:31.399257Z",
+ "iopub.status.idle": "2024-11-29T15:13:31.403777Z",
+ "shell.execute_reply": "2024-11-29T15:13:31.403165Z"
}
},
"outputs": [],
@@ -445,10 +445,10 @@
"execution_count": 14,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.794806Z",
- "iopub.status.busy": "2023-12-01T10:19:29.794623Z",
- "iopub.status.idle": "2023-12-01T10:19:29.798537Z",
- "shell.execute_reply": "2023-12-01T10:19:29.798167Z"
+ "iopub.execute_input": "2024-11-29T15:13:31.406608Z",
+ "iopub.status.busy": "2024-11-29T15:13:31.406323Z",
+ "iopub.status.idle": "2024-11-29T15:13:31.412963Z",
+ "shell.execute_reply": "2024-11-29T15:13:31.412366Z"
}
},
"outputs": [],
@@ -470,10 +470,10 @@
"execution_count": 15,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:29.800387Z",
- "iopub.status.busy": "2023-12-01T10:19:29.800154Z",
- "iopub.status.idle": "2023-12-01T10:19:29.803187Z",
- "shell.execute_reply": "2023-12-01T10:19:29.802694Z"
+ "iopub.execute_input": "2024-11-29T15:13:31.415787Z",
+ "iopub.status.busy": "2024-11-29T15:13:31.415502Z",
+ "iopub.status.idle": "2024-11-29T15:13:31.419674Z",
+ "shell.execute_reply": "2024-11-29T15:13:31.419096Z"
}
},
"outputs": [
@@ -482,7 +482,7 @@
"output_type": "stream",
"text": [
"Main inlet: 0.0699988095473791 (m3/s)\n",
- "Secondary inlet: 0.03469574798993031 (m3/s)\n",
+ "Secondary inlet: 0.03469574798993032 (m3/s)\n",
"Outlet: 0.10492863254979264 (m3/s)\n"
]
}
diff --git a/notebooks/data_manip/computation/scalar_flux.ipynb b/notebooks/data_manip/computation/scalar_flux.ipynb
index 3c676713a5..f134ee8993 100644
--- a/notebooks/data_manip/computation/scalar_flux.ipynb
+++ b/notebooks/data_manip/computation/scalar_flux.ipynb
@@ -30,10 +30,10 @@
"metadata": {
"collapsed": true,
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:30.873430Z",
- "iopub.status.busy": "2023-12-01T10:19:30.872735Z",
- "iopub.status.idle": "2023-12-01T10:19:31.159971Z",
- "shell.execute_reply": "2023-12-01T10:19:31.159389Z"
+ "iopub.execute_input": "2024-11-29T15:13:32.857309Z",
+ "iopub.status.busy": "2024-11-29T15:13:32.857035Z",
+ "iopub.status.idle": "2024-11-29T15:13:33.261882Z",
+ "shell.execute_reply": "2024-11-29T15:13:33.261218Z"
}
},
"outputs": [],
@@ -66,10 +66,10 @@
"metadata": {
"collapsed": true,
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:31.162329Z",
- "iopub.status.busy": "2023-12-01T10:19:31.162108Z",
- "iopub.status.idle": "2023-12-01T10:19:31.165119Z",
- "shell.execute_reply": "2023-12-01T10:19:31.164740Z"
+ "iopub.execute_input": "2024-11-29T15:13:33.265079Z",
+ "iopub.status.busy": "2024-11-29T15:13:33.264740Z",
+ "iopub.status.idle": "2024-11-29T15:13:33.268387Z",
+ "shell.execute_reply": "2024-11-29T15:13:33.267766Z"
}
},
"outputs": [],
@@ -84,10 +84,10 @@
"metadata": {
"collapsed": true,
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:31.166969Z",
- "iopub.status.busy": "2023-12-01T10:19:31.166801Z",
- "iopub.status.idle": "2023-12-01T10:19:31.170312Z",
- "shell.execute_reply": "2023-12-01T10:19:31.169920Z"
+ "iopub.execute_input": "2024-11-29T15:13:33.271163Z",
+ "iopub.status.busy": "2024-11-29T15:13:33.270873Z",
+ "iopub.status.idle": "2024-11-29T15:13:33.282945Z",
+ "shell.execute_reply": "2024-11-29T15:13:33.282285Z"
}
},
"outputs": [],
@@ -115,10 +115,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:31.172197Z",
- "iopub.status.busy": "2023-12-01T10:19:31.172013Z",
- "iopub.status.idle": "2023-12-01T10:19:31.512405Z",
- "shell.execute_reply": "2023-12-01T10:19:31.511908Z"
+ "iopub.execute_input": "2024-11-29T15:13:33.285848Z",
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+ "shell.execute_reply": "2024-11-29T15:13:33.844627Z"
}
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"outputs": [
@@ -163,10 +163,10 @@
"execution_count": 5,
"metadata": {
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- "shell.execute_reply": "2023-12-01T10:19:31.517306Z"
+ "iopub.execute_input": "2024-11-29T15:13:33.849615Z",
+ "iopub.status.busy": "2024-11-29T15:13:33.849307Z",
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+ "shell.execute_reply": "2024-11-29T15:13:33.852440Z"
}
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"outputs": [],
@@ -187,10 +187,10 @@
"execution_count": 6,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:19:31.519494Z",
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- "shell.execute_reply": "2023-12-01T10:19:31.646874Z"
+ "iopub.execute_input": "2024-11-29T15:13:33.856086Z",
+ "iopub.status.busy": "2024-11-29T15:13:33.855794Z",
+ "iopub.status.idle": "2024-11-29T15:13:33.989389Z",
+ "shell.execute_reply": "2024-11-29T15:13:33.988726Z"
}
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"outputs": [],
@@ -214,10 +214,10 @@
"execution_count": 7,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:19:31.649517Z",
- "iopub.status.busy": "2023-12-01T10:19:31.649325Z",
- "iopub.status.idle": "2023-12-01T10:19:31.652153Z",
- "shell.execute_reply": "2023-12-01T10:19:31.651764Z"
+ "iopub.execute_input": "2024-11-29T15:13:33.992461Z",
+ "iopub.status.busy": "2024-11-29T15:13:33.992178Z",
+ "iopub.status.idle": "2024-11-29T15:13:33.995592Z",
+ "shell.execute_reply": "2024-11-29T15:13:33.994980Z"
}
},
"outputs": [],
@@ -237,10 +237,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:31.654000Z",
- "iopub.status.busy": "2023-12-01T10:19:31.653819Z",
- "iopub.status.idle": "2023-12-01T10:19:31.656852Z",
- "shell.execute_reply": "2023-12-01T10:19:31.656384Z"
+ "iopub.execute_input": "2024-11-29T15:13:33.998402Z",
+ "iopub.status.busy": "2024-11-29T15:13:33.998116Z",
+ "iopub.status.idle": "2024-11-29T15:13:34.001641Z",
+ "shell.execute_reply": "2024-11-29T15:13:34.001041Z"
}
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"outputs": [],
@@ -261,10 +261,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:31.658696Z",
- "iopub.status.busy": "2023-12-01T10:19:31.658527Z",
- "iopub.status.idle": "2023-12-01T10:19:31.681324Z",
- "shell.execute_reply": "2023-12-01T10:19:31.680951Z"
+ "iopub.execute_input": "2024-11-29T15:13:34.004414Z",
+ "iopub.status.busy": "2024-11-29T15:13:34.004127Z",
+ "iopub.status.idle": "2024-11-29T15:13:34.055992Z",
+ "shell.execute_reply": "2024-11-29T15:13:34.055340Z"
}
},
"outputs": [],
@@ -284,10 +284,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:31.683168Z",
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- "iopub.status.idle": "2023-12-01T10:19:31.797758Z",
- "shell.execute_reply": "2023-12-01T10:19:31.797248Z"
+ "iopub.execute_input": "2024-11-29T15:13:34.058815Z",
+ "iopub.status.busy": "2024-11-29T15:13:34.058524Z",
+ "iopub.status.idle": "2024-11-29T15:13:34.291026Z",
+ "shell.execute_reply": "2024-11-29T15:13:34.290371Z"
}
},
"outputs": [
diff --git a/notebooks/data_manip/computation/solid_discharge.ipynb b/notebooks/data_manip/computation/solid_discharge.ipynb
index 997bcf3899..e55b6c30be 100644
--- a/notebooks/data_manip/computation/solid_discharge.ipynb
+++ b/notebooks/data_manip/computation/solid_discharge.ipynb
@@ -29,10 +29,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:32.775150Z",
- "iopub.status.busy": "2023-12-01T10:19:32.774454Z",
- "iopub.status.idle": "2023-12-01T10:19:33.064573Z",
- "shell.execute_reply": "2023-12-01T10:19:33.063956Z"
+ "iopub.execute_input": "2024-11-29T15:13:35.620894Z",
+ "iopub.status.busy": "2024-11-29T15:13:35.620620Z",
+ "iopub.status.idle": "2024-11-29T15:13:36.028915Z",
+ "shell.execute_reply": "2024-11-29T15:13:36.028238Z"
}
},
"outputs": [],
@@ -57,10 +57,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:33.066868Z",
- "iopub.status.busy": "2023-12-01T10:19:33.066649Z",
- "iopub.status.idle": "2023-12-01T10:19:33.070125Z",
- "shell.execute_reply": "2023-12-01T10:19:33.069749Z"
+ "iopub.execute_input": "2024-11-29T15:13:36.032112Z",
+ "iopub.status.busy": "2024-11-29T15:13:36.031744Z",
+ "iopub.status.idle": "2024-11-29T15:13:36.041862Z",
+ "shell.execute_reply": "2024-11-29T15:13:36.041201Z"
}
},
"outputs": [],
@@ -81,10 +81,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:33.071999Z",
- "iopub.status.busy": "2023-12-01T10:19:33.071827Z",
- "iopub.status.idle": "2023-12-01T10:19:33.374906Z",
- "shell.execute_reply": "2023-12-01T10:19:33.374347Z"
+ "iopub.execute_input": "2024-11-29T15:13:36.044625Z",
+ "iopub.status.busy": "2024-11-29T15:13:36.044335Z",
+ "iopub.status.idle": "2024-11-29T15:13:36.537442Z",
+ "shell.execute_reply": "2024-11-29T15:13:36.536769Z"
}
},
"outputs": [
@@ -129,10 +129,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:33.377013Z",
- "iopub.status.busy": "2023-12-01T10:19:33.376824Z",
- "iopub.status.idle": "2023-12-01T10:19:33.379991Z",
- "shell.execute_reply": "2023-12-01T10:19:33.379621Z"
+ "iopub.execute_input": "2024-11-29T15:13:36.540964Z",
+ "iopub.status.busy": "2024-11-29T15:13:36.540676Z",
+ "iopub.status.idle": "2024-11-29T15:13:36.544405Z",
+ "shell.execute_reply": "2024-11-29T15:13:36.543783Z"
}
},
"outputs": [],
@@ -153,10 +153,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:33.381875Z",
- "iopub.status.busy": "2023-12-01T10:19:33.381703Z",
- "iopub.status.idle": "2023-12-01T10:19:33.394952Z",
- "shell.execute_reply": "2023-12-01T10:19:33.394451Z"
+ "iopub.execute_input": "2024-11-29T15:13:36.547149Z",
+ "iopub.status.busy": "2024-11-29T15:13:36.546875Z",
+ "iopub.status.idle": "2024-11-29T15:13:36.563446Z",
+ "shell.execute_reply": "2024-11-29T15:13:36.562766Z"
}
},
"outputs": [],
@@ -177,10 +177,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:33.397058Z",
- "iopub.status.busy": "2023-12-01T10:19:33.396879Z",
- "iopub.status.idle": "2023-12-01T10:19:33.401610Z",
- "shell.execute_reply": "2023-12-01T10:19:33.401175Z"
+ "iopub.execute_input": "2024-11-29T15:13:36.566447Z",
+ "iopub.status.busy": "2024-11-29T15:13:36.566167Z",
+ "iopub.status.idle": "2024-11-29T15:13:36.574334Z",
+ "shell.execute_reply": "2024-11-29T15:13:36.573714Z"
}
},
"outputs": [],
@@ -200,10 +200,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:33.403417Z",
- "iopub.status.busy": "2023-12-01T10:19:33.403236Z",
- "iopub.status.idle": "2023-12-01T10:19:33.514334Z",
- "shell.execute_reply": "2023-12-01T10:19:33.513863Z"
+ "iopub.execute_input": "2024-11-29T15:13:36.577403Z",
+ "iopub.status.busy": "2024-11-29T15:13:36.577111Z",
+ "iopub.status.idle": "2024-11-29T15:13:36.765107Z",
+ "shell.execute_reply": "2024-11-29T15:13:36.764493Z"
}
},
"outputs": [
diff --git a/notebooks/data_manip/computation/statistics.ipynb b/notebooks/data_manip/computation/statistics.ipynb
index 613fba7dd9..f08e352aa0 100644
--- a/notebooks/data_manip/computation/statistics.ipynb
+++ b/notebooks/data_manip/computation/statistics.ipynb
@@ -37,10 +37,10 @@
"metadata": {
"collapsed": true,
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:34.631102Z",
- "iopub.status.busy": "2023-12-01T10:19:34.630857Z",
- "iopub.status.idle": "2023-12-01T10:19:34.880473Z",
- "shell.execute_reply": "2023-12-01T10:19:34.879817Z"
+ "iopub.execute_input": "2024-11-29T15:13:37.968006Z",
+ "iopub.status.busy": "2024-11-29T15:13:37.967736Z",
+ "iopub.status.idle": "2024-11-29T15:13:38.369903Z",
+ "shell.execute_reply": "2024-11-29T15:13:38.369234Z"
}
},
"outputs": [],
@@ -63,10 +63,10 @@
"metadata": {
"collapsed": true,
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:34.883112Z",
- "iopub.status.busy": "2023-12-01T10:19:34.882819Z",
- "iopub.status.idle": "2023-12-01T10:19:35.026853Z",
- "shell.execute_reply": "2023-12-01T10:19:35.024712Z"
+ "iopub.execute_input": "2024-11-29T15:13:38.373049Z",
+ "iopub.status.busy": "2024-11-29T15:13:38.372693Z",
+ "iopub.status.idle": "2024-11-29T15:13:38.597059Z",
+ "shell.execute_reply": "2024-11-29T15:13:38.596386Z"
}
},
"outputs": [],
@@ -89,10 +89,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:35.033640Z",
- "iopub.status.busy": "2023-12-01T10:19:35.033044Z",
- "iopub.status.idle": "2023-12-01T10:19:35.041210Z",
- "shell.execute_reply": "2023-12-01T10:19:35.040137Z"
+ "iopub.execute_input": "2024-11-29T15:13:38.600104Z",
+ "iopub.status.busy": "2024-11-29T15:13:38.599810Z",
+ "iopub.status.idle": "2024-11-29T15:13:38.604282Z",
+ "shell.execute_reply": "2024-11-29T15:13:38.603657Z"
}
},
"outputs": [],
@@ -120,10 +120,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:35.045020Z",
- "iopub.status.busy": "2023-12-01T10:19:35.044687Z",
- "iopub.status.idle": "2023-12-01T10:19:35.327284Z",
- "shell.execute_reply": "2023-12-01T10:19:35.326629Z"
+ "iopub.execute_input": "2024-11-29T15:13:38.607113Z",
+ "iopub.status.busy": "2024-11-29T15:13:38.606823Z",
+ "iopub.status.idle": "2024-11-29T15:13:39.099514Z",
+ "shell.execute_reply": "2024-11-29T15:13:39.098875Z"
}
},
"outputs": [
@@ -167,10 +167,10 @@
"metadata": {
"collapsed": true,
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:35.329794Z",
- "iopub.status.busy": "2023-12-01T10:19:35.329551Z",
- "iopub.status.idle": "2023-12-01T10:19:35.339096Z",
- "shell.execute_reply": "2023-12-01T10:19:35.338467Z"
+ "iopub.execute_input": "2024-11-29T15:13:39.103147Z",
+ "iopub.status.busy": "2024-11-29T15:13:39.102839Z",
+ "iopub.status.idle": "2024-11-29T15:13:39.113640Z",
+ "shell.execute_reply": "2024-11-29T15:13:39.113001Z"
}
},
"outputs": [],
@@ -195,10 +195,10 @@
"metadata": {
"collapsed": true,
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:35.341452Z",
- "iopub.status.busy": "2023-12-01T10:19:35.341201Z",
- "iopub.status.idle": "2023-12-01T10:19:35.344913Z",
- "shell.execute_reply": "2023-12-01T10:19:35.344301Z"
+ "iopub.execute_input": "2024-11-29T15:13:39.116594Z",
+ "iopub.status.busy": "2024-11-29T15:13:39.116293Z",
+ "iopub.status.idle": "2024-11-29T15:13:39.119933Z",
+ "shell.execute_reply": "2024-11-29T15:13:39.119343Z"
}
},
"outputs": [],
@@ -220,10 +220,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:35.347143Z",
- "iopub.status.busy": "2023-12-01T10:19:35.346894Z",
- "iopub.status.idle": "2023-12-01T10:19:35.352713Z",
- "shell.execute_reply": "2023-12-01T10:19:35.352062Z"
+ "iopub.execute_input": "2024-11-29T15:13:39.122737Z",
+ "iopub.status.busy": "2024-11-29T15:13:39.122455Z",
+ "iopub.status.idle": "2024-11-29T15:13:39.128985Z",
+ "shell.execute_reply": "2024-11-29T15:13:39.128414Z"
}
},
"outputs": [
@@ -259,10 +259,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:35.354953Z",
- "iopub.status.busy": "2023-12-01T10:19:35.354742Z",
- "iopub.status.idle": "2023-12-01T10:19:35.745635Z",
- "shell.execute_reply": "2023-12-01T10:19:35.744998Z"
+ "iopub.execute_input": "2024-11-29T15:13:39.131765Z",
+ "iopub.status.busy": "2024-11-29T15:13:39.131476Z",
+ "iopub.status.idle": "2024-11-29T15:13:39.300161Z",
+ "shell.execute_reply": "2024-11-29T15:13:39.299537Z"
}
},
"outputs": [
@@ -277,31 +277,11 @@
"output_type": "display_data"
},
{
- "name": "stderr",
+ "name": "stdout",
"output_type": "stream",
"text": [
- "/tmp/ipykernel_581871/2656571167.py:15: UserWarning: \n",
- "\n",
- "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
- "\n",
- "Please adapt your code to use either `displot` (a figure-level function with\n",
- "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
- "\n",
- "For a guide to updating your code to use the new functions, please see\n",
- "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
- "\n",
- " sns.distplot(df, bins=n_bins)\n"
+ "seaborn is necessary to do the nicer plot\n"
]
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 1000x500 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
}
],
"source": [
diff --git a/notebooks/data_manip/computation/volume_calculation.ipynb b/notebooks/data_manip/computation/volume_calculation.ipynb
index 5daf1ca96b..cda31b6e1a 100644
--- a/notebooks/data_manip/computation/volume_calculation.ipynb
+++ b/notebooks/data_manip/computation/volume_calculation.ipynb
@@ -15,10 +15,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:36.879346Z",
- "iopub.status.busy": "2023-12-01T10:19:36.878644Z",
- "iopub.status.idle": "2023-12-01T10:19:37.272200Z",
- "shell.execute_reply": "2023-12-01T10:19:37.271587Z"
+ "iopub.execute_input": "2024-11-29T15:13:40.549919Z",
+ "iopub.status.busy": "2024-11-29T15:13:40.549650Z",
+ "iopub.status.idle": "2024-11-29T15:13:41.219838Z",
+ "shell.execute_reply": "2024-11-29T15:13:41.219190Z"
}
},
"outputs": [
@@ -90,10 +90,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:37.274943Z",
- "iopub.status.busy": "2023-12-01T10:19:37.274723Z",
- "iopub.status.idle": "2023-12-01T10:19:37.383078Z",
- "shell.execute_reply": "2023-12-01T10:19:37.382547Z"
+ "iopub.execute_input": "2024-11-29T15:13:41.222957Z",
+ "iopub.status.busy": "2024-11-29T15:13:41.222609Z",
+ "iopub.status.idle": "2024-11-29T15:13:41.493433Z",
+ "shell.execute_reply": "2024-11-29T15:13:41.492776Z"
}
},
"outputs": [
@@ -172,13 +172,22 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:37.385744Z",
- "iopub.status.busy": "2023-12-01T10:19:37.385547Z",
- "iopub.status.idle": "2023-12-01T10:19:42.039473Z",
- "shell.execute_reply": "2023-12-01T10:19:42.038528Z"
+ "iopub.execute_input": "2024-11-29T15:13:41.496468Z",
+ "iopub.status.busy": "2024-11-29T15:13:41.496161Z",
+ "iopub.status.idle": "2024-11-29T15:13:50.378526Z",
+ "shell.execute_reply": "2024-11-29T15:13:50.377522Z"
}
},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\n",
+ "No protocol specified\n",
+ "No protocol specified\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
@@ -195,7 +204,7 @@
" T E L E M M A A C \n",
" T EEEEE LLLLL EEEEE M M A A CCCCC\n",
" \n",
- " 2D VERSION V8P5 FORTRAN 2003 \n",
+ " 2D VERSION MAIN FORTRAN 2003 \n",
"\n",
"\n",
"\n",
@@ -239,6 +248,11 @@
" * IN THE STEERING FILE *\n",
" ********************************************\n",
"\n",
+ " TREATMENT OF NEGATIVE DEPTHS = 2\n",
+ " MASS-LUMPING ON H AUTOMATICALLY SET TO 1.D0\n",
+ " CONTINUITY CORRECTION AUTOMATICALLY SET TO YES\n",
+ " SUPG OPTION AUTOMATICALLY SET TO 0 FOR H\n",
+ "\n",
"\n",
" EXITING LECDON. NAME OF THE STUDY:\n",
" TELEMAC 2D : rupture digue - Qinitial \n",
@@ -340,11 +354,17 @@
"================================================================================\n",
" ITERATION 0 TIME: 0.0000 S\n",
" PRERES: MAXIMUM COURANT NUMBER: 0.2699380 \n",
- " TELEMAC2D INITIALIZED\n",
+ " TELEMAC2D INITIALIZED\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" THE LIQUID BOUNDARIES FILE CONTAINS\n",
" 3 LINES WITH:\n",
" SL(1) Q(2) \n",
- " USING STREAMLINE VERSION V8P5 FOR CHARACTERISTICS\n"
+ " USING STREAMLINE VERSION MAIN FOR CHARACTERISTICS\n"
]
},
{
@@ -374,7 +394,7 @@
"\n",
"\n",
" ELAPSE TIME : \n",
- " 2 SECONDS\n"
+ " 3 SECONDS\n"
]
}
],
@@ -450,10 +470,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:19:42.042608Z",
- "iopub.status.busy": "2023-12-01T10:19:42.042407Z",
- "iopub.status.idle": "2023-12-01T10:20:03.971025Z",
- "shell.execute_reply": "2023-12-01T10:20:03.970609Z"
+ "iopub.execute_input": "2024-11-29T15:13:50.381991Z",
+ "iopub.status.busy": "2024-11-29T15:13:50.381666Z",
+ "iopub.status.idle": "2024-11-29T15:14:36.012111Z",
+ "shell.execute_reply": "2024-11-29T15:14:36.011449Z"
}
},
"outputs": [
@@ -488,7 +508,7 @@
"\n",
"\n",
" ELAPSE TIME : \n",
- " 21 SECONDS\n"
+ " 46 SECONDS\n"
]
}
],
@@ -591,10 +611,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:03.973849Z",
- "iopub.status.busy": "2023-12-01T10:20:03.973641Z",
- "iopub.status.idle": "2023-12-01T10:20:05.991927Z",
- "shell.execute_reply": "2023-12-01T10:20:05.991311Z"
+ "iopub.execute_input": "2024-11-29T15:14:36.015247Z",
+ "iopub.status.busy": "2024-11-29T15:14:36.014948Z",
+ "iopub.status.idle": "2024-11-29T15:14:39.489734Z",
+ "shell.execute_reply": "2024-11-29T15:14:39.489074Z"
}
},
"outputs": [
@@ -613,7 +633,7 @@
" T E L E M M A A C \n",
" T EEEEE LLLLL EEEEE M M A A CCCCC\n",
" \n",
- " 2D VERSION V8P5 FORTRAN 2003 \n",
+ " 2D VERSION MAIN FORTRAN 2003 \n",
"\n",
"\n",
"\n",
@@ -657,6 +677,11 @@
" * IN THE STEERING FILE *\n",
" ********************************************\n",
"\n",
+ " TREATMENT OF NEGATIVE DEPTHS = 2\n",
+ " MASS-LUMPING ON H AUTOMATICALLY SET TO 1.D0\n",
+ " CONTINUITY CORRECTION AUTOMATICALLY SET TO YES\n",
+ " SUPG OPTION AUTOMATICALLY SET TO 0 FOR H\n",
+ "\n",
"\n",
" EXITING LECDON. NAME OF THE STUDY:\n",
" TELEMAC 2D : rupture digue - Qinitial \n",
@@ -758,17 +783,17 @@
"================================================================================\n",
" ITERATION 0 TIME: 0.0000 S\n",
" PRERES: MAXIMUM COURANT NUMBER: 0.2699380 \n",
- " TELEMAC2D INITIALIZED\n",
- " THE LIQUID BOUNDARIES FILE CONTAINS\n",
- " 3 LINES WITH:\n",
- " SL(1) Q(2) \n"
+ " TELEMAC2D INITIALIZED\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " USING STREAMLINE VERSION V8P5 FOR CHARACTERISTICS\n"
+ " THE LIQUID BOUNDARIES FILE CONTAINS\n",
+ " 3 LINES WITH:\n",
+ " SL(1) Q(2) \n",
+ " USING STREAMLINE VERSION MAIN FOR CHARACTERISTICS\n"
]
},
{
diff --git a/notebooks/data_manip/computation/wet_section.ipynb b/notebooks/data_manip/computation/wet_section.ipynb
index ba71e8336c..17a6b7e710 100644
--- a/notebooks/data_manip/computation/wet_section.ipynb
+++ b/notebooks/data_manip/computation/wet_section.ipynb
@@ -21,10 +21,10 @@
"metadata": {
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"execution": {
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- "iopub.status.idle": "2023-12-01T10:20:07.311162Z",
- "shell.execute_reply": "2023-12-01T10:20:07.310602Z"
+ "iopub.execute_input": "2024-11-29T15:14:40.910770Z",
+ "iopub.status.busy": "2024-11-29T15:14:40.910484Z",
+ "iopub.status.idle": "2024-11-29T15:14:40.996229Z",
+ "shell.execute_reply": "2024-11-29T15:14:40.995560Z"
}
},
"outputs": [],
@@ -54,10 +54,10 @@
"metadata": {
"collapsed": true,
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- "iopub.execute_input": "2023-12-01T10:20:07.314208Z",
- "iopub.status.busy": "2023-12-01T10:20:07.313991Z",
- "iopub.status.idle": "2023-12-01T10:20:07.317024Z",
- "shell.execute_reply": "2023-12-01T10:20:07.316607Z"
+ "iopub.execute_input": "2024-11-29T15:14:40.999385Z",
+ "iopub.status.busy": "2024-11-29T15:14:40.999052Z",
+ "iopub.status.idle": "2024-11-29T15:14:41.002574Z",
+ "shell.execute_reply": "2024-11-29T15:14:41.001967Z"
}
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"outputs": [],
@@ -81,10 +81,10 @@
"metadata": {
"collapsed": true,
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- "iopub.status.idle": "2023-12-01T10:20:07.322701Z",
- "shell.execute_reply": "2023-12-01T10:20:07.322294Z"
+ "iopub.execute_input": "2024-11-29T15:14:41.005370Z",
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+ "iopub.status.idle": "2024-11-29T15:14:41.009000Z",
+ "shell.execute_reply": "2024-11-29T15:14:41.008387Z"
}
},
"outputs": [],
@@ -105,10 +105,10 @@
"metadata": {
"collapsed": true,
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- "shell.execute_reply": "2023-12-01T10:20:07.327155Z"
+ "iopub.execute_input": "2024-11-29T15:14:41.011777Z",
+ "iopub.status.busy": "2024-11-29T15:14:41.011503Z",
+ "iopub.status.idle": "2024-11-29T15:14:41.014818Z",
+ "shell.execute_reply": "2024-11-29T15:14:41.014204Z"
}
},
"outputs": [],
@@ -128,10 +128,10 @@
"execution_count": 5,
"metadata": {
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- "iopub.status.busy": "2023-12-01T10:20:07.330002Z",
- "iopub.status.idle": "2023-12-01T10:20:07.333306Z",
- "shell.execute_reply": "2023-12-01T10:20:07.332802Z"
+ "iopub.execute_input": "2024-11-29T15:14:41.017542Z",
+ "iopub.status.busy": "2024-11-29T15:14:41.017265Z",
+ "iopub.status.idle": "2024-11-29T15:14:41.021473Z",
+ "shell.execute_reply": "2024-11-29T15:14:41.020865Z"
}
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"outputs": [
@@ -175,10 +175,10 @@
"metadata": {
"collapsed": true,
"execution": {
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- "iopub.status.busy": "2023-12-01T10:20:07.336311Z",
- "iopub.status.idle": "2023-12-01T10:20:07.556716Z",
- "shell.execute_reply": "2023-12-01T10:20:07.556104Z"
+ "iopub.execute_input": "2024-11-29T15:14:41.024434Z",
+ "iopub.status.busy": "2024-11-29T15:14:41.024151Z",
+ "iopub.status.idle": "2024-11-29T15:14:41.345749Z",
+ "shell.execute_reply": "2024-11-29T15:14:41.345080Z"
}
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@@ -201,10 +201,10 @@
"metadata": {
"collapsed": true,
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- "iopub.status.idle": "2023-12-01T10:20:07.562533Z",
- "shell.execute_reply": "2023-12-01T10:20:07.562058Z"
+ "iopub.execute_input": "2024-11-29T15:14:41.348893Z",
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+ "shell.execute_reply": "2024-11-29T15:14:41.352608Z"
}
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"outputs": [],
@@ -233,10 +233,10 @@
"execution_count": 8,
"metadata": {
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- "iopub.status.idle": "2023-12-01T10:20:07.924699Z",
- "shell.execute_reply": "2023-12-01T10:20:07.924107Z"
+ "iopub.execute_input": "2024-11-29T15:14:41.355985Z",
+ "iopub.status.busy": "2024-11-29T15:14:41.355709Z",
+ "iopub.status.idle": "2024-11-29T15:14:41.947218Z",
+ "shell.execute_reply": "2024-11-29T15:14:41.946582Z"
}
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"outputs": [
@@ -294,10 +294,10 @@
"metadata": {
"collapsed": true,
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:07.927848Z",
- "iopub.status.busy": "2023-12-01T10:20:07.927664Z",
- "iopub.status.idle": "2023-12-01T10:20:07.930892Z",
- "shell.execute_reply": "2023-12-01T10:20:07.930430Z"
+ "iopub.execute_input": "2024-11-29T15:14:41.950798Z",
+ "iopub.status.busy": "2024-11-29T15:14:41.950495Z",
+ "iopub.status.idle": "2024-11-29T15:14:41.954234Z",
+ "shell.execute_reply": "2024-11-29T15:14:41.953653Z"
}
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"outputs": [],
@@ -318,10 +318,10 @@
"execution_count": 10,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:20:07.933491Z",
- "iopub.status.busy": "2023-12-01T10:20:07.933300Z",
- "iopub.status.idle": "2023-12-01T10:20:07.952007Z",
- "shell.execute_reply": "2023-12-01T10:20:07.951462Z"
+ "iopub.execute_input": "2024-11-29T15:14:41.956985Z",
+ "iopub.status.busy": "2024-11-29T15:14:41.956703Z",
+ "iopub.status.idle": "2024-11-29T15:14:41.984393Z",
+ "shell.execute_reply": "2024-11-29T15:14:41.983726Z"
}
},
"outputs": [],
@@ -342,10 +342,10 @@
"metadata": {
"collapsed": true,
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- "shell.execute_reply": "2023-12-01T10:20:07.957134Z"
+ "iopub.execute_input": "2024-11-29T15:14:41.987404Z",
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+ "shell.execute_reply": "2024-11-29T15:14:41.990303Z"
}
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"outputs": [],
@@ -365,10 +365,10 @@
"execution_count": 12,
"metadata": {
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- "iopub.status.idle": "2023-12-01T10:20:07.963263Z",
- "shell.execute_reply": "2023-12-01T10:20:07.962725Z"
+ "iopub.execute_input": "2024-11-29T15:14:41.993730Z",
+ "iopub.status.busy": "2024-11-29T15:14:41.993446Z",
+ "iopub.status.idle": "2024-11-29T15:14:42.033011Z",
+ "shell.execute_reply": "2024-11-29T15:14:42.032371Z"
}
},
"outputs": [
diff --git a/notebooks/data_manip/extraction/3d_extraction.ipynb b/notebooks/data_manip/extraction/3d_extraction.ipynb
index 142783b786..feac8f0ecd 100644
--- a/notebooks/data_manip/extraction/3d_extraction.ipynb
+++ b/notebooks/data_manip/extraction/3d_extraction.ipynb
@@ -15,10 +15,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:08.915474Z",
- "iopub.status.busy": "2023-12-01T10:20:08.914761Z",
- "iopub.status.idle": "2023-12-01T10:20:09.505010Z",
- "shell.execute_reply": "2023-12-01T10:20:09.504497Z"
+ "iopub.execute_input": "2024-11-29T15:14:43.588156Z",
+ "iopub.status.busy": "2024-11-29T15:14:43.587873Z",
+ "iopub.status.idle": "2024-11-29T15:14:44.562653Z",
+ "shell.execute_reply": "2024-11-29T15:14:44.562003Z"
}
},
"outputs": [
@@ -95,10 +95,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:09.507148Z",
- "iopub.status.busy": "2023-12-01T10:20:09.506928Z",
- "iopub.status.idle": "2023-12-01T10:20:09.879305Z",
- "shell.execute_reply": "2023-12-01T10:20:09.878794Z"
+ "iopub.execute_input": "2024-11-29T15:14:44.565644Z",
+ "iopub.status.busy": "2024-11-29T15:14:44.565283Z",
+ "iopub.status.idle": "2024-11-29T15:14:45.255294Z",
+ "shell.execute_reply": "2024-11-29T15:14:45.254661Z"
}
},
"outputs": [
@@ -198,10 +198,10 @@
"execution_count": 3,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:20:09.881417Z",
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- "iopub.status.idle": "2023-12-01T10:20:10.095098Z",
- "shell.execute_reply": "2023-12-01T10:20:10.094625Z"
+ "iopub.execute_input": "2024-11-29T15:14:45.258531Z",
+ "iopub.status.busy": "2024-11-29T15:14:45.258206Z",
+ "iopub.status.idle": "2024-11-29T15:14:45.649218Z",
+ "shell.execute_reply": "2024-11-29T15:14:45.648584Z"
}
},
"outputs": [
@@ -284,10 +284,10 @@
"execution_count": 4,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:20:10.097798Z",
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- "shell.execute_reply": "2023-12-01T10:20:10.311175Z"
+ "iopub.execute_input": "2024-11-29T15:14:45.653863Z",
+ "iopub.status.busy": "2024-11-29T15:14:45.653551Z",
+ "iopub.status.idle": "2024-11-29T15:14:46.050080Z",
+ "shell.execute_reply": "2024-11-29T15:14:46.049440Z"
}
},
"outputs": [
diff --git a/notebooks/data_manip/extraction/courlis_extract.ipynb b/notebooks/data_manip/extraction/courlis_extract.ipynb
index 9dc22d724b..9c5ff166b9 100644
--- a/notebooks/data_manip/extraction/courlis_extract.ipynb
+++ b/notebooks/data_manip/extraction/courlis_extract.ipynb
@@ -17,10 +17,10 @@
"metadata": {
"collapsed": false,
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:11.485711Z",
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- "iopub.status.idle": "2023-12-01T10:20:11.950216Z",
- "shell.execute_reply": "2023-12-01T10:20:11.947272Z"
+ "iopub.execute_input": "2024-11-29T15:14:47.340526Z",
+ "iopub.status.busy": "2024-11-29T15:14:47.340252Z",
+ "iopub.status.idle": "2024-11-29T15:14:48.130123Z",
+ "shell.execute_reply": "2024-11-29T15:14:48.129356Z"
}
},
"outputs": [
@@ -64,10 +64,10 @@
"metadata": {
"collapsed": false,
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:11.958090Z",
- "iopub.status.busy": "2023-12-01T10:20:11.957879Z",
- "iopub.status.idle": "2023-12-01T10:20:20.986231Z",
- "shell.execute_reply": "2023-12-01T10:20:20.983514Z"
+ "iopub.execute_input": "2024-11-29T15:14:48.133461Z",
+ "iopub.status.busy": "2024-11-29T15:14:48.133145Z",
+ "iopub.status.idle": "2024-11-29T15:14:58.632581Z",
+ "shell.execute_reply": "2024-11-29T15:14:58.631803Z"
},
"scrolled": true
},
@@ -88,7 +88,13 @@
" | | | | | || (_| || || | | |\r\n",
" |_| |_| |_| \\__,_||_||_| |_|\r\n",
" \r\n",
- " \r\n",
+ " \r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"\r\n",
"\r\n",
"Running your CAS file(s) for:\r\n",
@@ -128,6 +134,9 @@
"\r\n",
"... handling temporary directories\r\n",
"~+> Creating FichierCas.txt\r\n",
+ "~+> Copying Abaques.txt\r\n",
+ "~+> Copying Controle.txt\r\n",
+ "~+> Copying dico_Courlis.txt\r\n",
"[ ] 0% | ---s\r",
" \r",
"[ ] 0% | ---s\r",
@@ -153,6 +162,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
+ "No protocol specified\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\r\n",
" Fichiercas : FichierCas.txt\r\n",
"\r\n",
" TELEMAC-MASCARET V8P4R0 == Copyright (C) 2000-2022 EDF-CEREMA ==\r\n",
@@ -222,11 +239,11 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " Simulation ended successfully in 7.37133408 s\r\n",
- " Simulation ended successfully in 7.37141323 s\r\n",
+ " Simulation ended successfully in 7.74187803 s\r\n",
+ " Simulation ended successfully in 7.74195623 s\r\n",
"\r\n",
" CPT_PLANIM = 10802\r\n",
- " TEMPS PASSE 7.38064528\r\n",
+ " TEMPS PASSE 7.74770594\r\n",
" FIN CORRECTE DU CALCUL\r\n",
"\r\n",
"... merging separated result files\r\n",
@@ -265,10 +282,10 @@
"metadata": {
"collapsed": false,
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:20.994433Z",
- "iopub.status.busy": "2023-12-01T10:20:20.993765Z",
- "iopub.status.idle": "2023-12-01T10:20:21.524969Z",
- "shell.execute_reply": "2023-12-01T10:20:21.522016Z"
+ "iopub.execute_input": "2024-11-29T15:14:58.635815Z",
+ "iopub.status.busy": "2024-11-29T15:14:58.635507Z",
+ "iopub.status.idle": "2024-11-29T15:14:59.355679Z",
+ "shell.execute_reply": "2024-11-29T15:14:59.354905Z"
}
},
"outputs": [
@@ -276,16 +293,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Extracting time 2450.0s from resu.ptravers to _prev.geoC.geoC\r\n",
- "0 14\r\n",
"Traceback (most recent call last):\r\n",
- " File \"/home/d60881/telemac/scripts/python3/converter.py\", line 309, in <module>\r\n",
- " main()\r\n",
- " File \"/home/d60881/telemac/scripts/python3/converter.py\", line 259, in main\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/converter.py\", line 302, in <module>\r\n",
+ " sys.exit(main())\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/converter.py\", line 247, in main\r\n",
" extract_ptravers_res_to_geoc(\\\r\n",
- " File \"/home/d60881/telemac/scripts/python3/data_manip/extraction/extract_ptravers_res_to_geoc.py\", line 111, in extract_ptravers_res_to_geoc\r\n",
- " section.add_layer(thickness_table)\r\n",
- "AttributeError: 'Section' object has no attribute 'add_layer'\r\n"
+ " File \"/home/d60881/telemac/scripts/python3/data_manip/extraction/extract_ptravers_res_to_geoc.py\", line 68, in extract_ptravers_res_to_geoc\r\n",
+ " output_name = '{}_{}_time_{}s.geoC'.format(short_name,\r\n",
+ "UnboundLocalError: local variable 'short_name' referenced before assignment\r\n"
]
}
],
@@ -306,10 +321,10 @@
"metadata": {
"collapsed": false,
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:21.529207Z",
- "iopub.status.busy": "2023-12-01T10:20:21.529018Z",
- "iopub.status.idle": "2023-12-01T10:20:21.633841Z",
- "shell.execute_reply": "2023-12-01T10:20:21.633200Z"
+ "iopub.execute_input": "2024-11-29T15:14:59.359058Z",
+ "iopub.status.busy": "2024-11-29T15:14:59.358752Z",
+ "iopub.status.idle": "2024-11-29T15:14:59.572268Z",
+ "shell.execute_reply": "2024-11-29T15:14:59.571570Z"
},
"scrolled": true
},
diff --git a/notebooks/data_manip/extraction/csv.ipynb b/notebooks/data_manip/extraction/csv.ipynb
index c0c303ce28..7706d8ad37 100644
--- a/notebooks/data_manip/extraction/csv.ipynb
+++ b/notebooks/data_manip/extraction/csv.ipynb
@@ -19,10 +19,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:22.438064Z",
- "iopub.status.busy": "2023-12-01T10:20:22.437359Z",
- "iopub.status.idle": "2023-12-01T10:20:22.691328Z",
- "shell.execute_reply": "2023-12-01T10:20:22.690792Z"
+ "iopub.execute_input": "2024-11-29T15:15:00.794723Z",
+ "iopub.status.busy": "2024-11-29T15:15:00.794451Z",
+ "iopub.status.idle": "2024-11-29T15:15:01.202883Z",
+ "shell.execute_reply": "2024-11-29T15:15:01.202218Z"
}
},
"outputs": [],
@@ -58,10 +58,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:22.693666Z",
- "iopub.status.busy": "2023-12-01T10:20:22.693440Z",
- "iopub.status.idle": "2023-12-01T10:20:22.723191Z",
- "shell.execute_reply": "2023-12-01T10:20:22.722610Z"
+ "iopub.execute_input": "2024-11-29T15:15:01.206097Z",
+ "iopub.status.busy": "2024-11-29T15:15:01.205743Z",
+ "iopub.status.idle": "2024-11-29T15:15:01.271146Z",
+ "shell.execute_reply": "2024-11-29T15:15:01.270497Z"
}
},
"outputs": [
@@ -108,10 +108,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:22.725823Z",
- "iopub.status.busy": "2023-12-01T10:20:22.725616Z",
- "iopub.status.idle": "2023-12-01T10:20:22.728980Z",
- "shell.execute_reply": "2023-12-01T10:20:22.728424Z"
+ "iopub.execute_input": "2024-11-29T15:15:01.273914Z",
+ "iopub.status.busy": "2024-11-29T15:15:01.273630Z",
+ "iopub.status.idle": "2024-11-29T15:15:01.277566Z",
+ "shell.execute_reply": "2024-11-29T15:15:01.276943Z"
}
},
"outputs": [
@@ -165,10 +165,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:22.731767Z",
- "iopub.status.busy": "2023-12-01T10:20:22.731578Z",
- "iopub.status.idle": "2023-12-01T10:20:22.736153Z",
- "shell.execute_reply": "2023-12-01T10:20:22.735567Z"
+ "iopub.execute_input": "2024-11-29T15:15:01.280298Z",
+ "iopub.status.busy": "2024-11-29T15:15:01.280010Z",
+ "iopub.status.idle": "2024-11-29T15:15:01.286143Z",
+ "shell.execute_reply": "2024-11-29T15:15:01.285530Z"
}
},
"outputs": [
diff --git a/notebooks/data_manip/extraction/example_mesh_data.ipynb b/notebooks/data_manip/extraction/example_mesh_data.ipynb
index c352adb5d8..16ec02b24f 100644
--- a/notebooks/data_manip/extraction/example_mesh_data.ipynb
+++ b/notebooks/data_manip/extraction/example_mesh_data.ipynb
@@ -14,10 +14,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:23.801128Z",
- "iopub.status.busy": "2023-12-01T10:20:23.798968Z",
- "iopub.status.idle": "2023-12-01T10:20:24.095321Z",
- "shell.execute_reply": "2023-12-01T10:20:24.094799Z"
+ "iopub.execute_input": "2024-11-29T15:15:02.682098Z",
+ "iopub.status.busy": "2024-11-29T15:15:02.681813Z",
+ "iopub.status.idle": "2024-11-29T15:15:03.093461Z",
+ "shell.execute_reply": "2024-11-29T15:15:03.092778Z"
}
},
"outputs": [],
diff --git a/notebooks/data_manip/extraction/extract.ipynb b/notebooks/data_manip/extraction/extract.ipynb
index d088f33340..a75809cc1f 100644
--- a/notebooks/data_manip/extraction/extract.ipynb
+++ b/notebooks/data_manip/extraction/extract.ipynb
@@ -22,10 +22,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:25.237600Z",
- "iopub.status.busy": "2023-12-01T10:20:25.237393Z",
- "iopub.status.idle": "2023-12-01T10:20:25.686953Z",
- "shell.execute_reply": "2023-12-01T10:20:25.683849Z"
+ "iopub.execute_input": "2024-11-29T15:15:04.456948Z",
+ "iopub.status.busy": "2024-11-29T15:15:04.456672Z",
+ "iopub.status.idle": "2024-11-29T15:15:05.092817Z",
+ "shell.execute_reply": "2024-11-29T15:15:05.092038Z"
}
},
"outputs": [
@@ -66,10 +66,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:25.695030Z",
- "iopub.status.busy": "2023-12-01T10:20:25.694821Z",
- "iopub.status.idle": "2023-12-01T10:20:26.142555Z",
- "shell.execute_reply": "2023-12-01T10:20:26.140762Z"
+ "iopub.execute_input": "2024-11-29T15:15:05.096092Z",
+ "iopub.status.busy": "2024-11-29T15:15:05.095780Z",
+ "iopub.status.idle": "2024-11-29T15:15:05.730467Z",
+ "shell.execute_reply": "2024-11-29T15:15:05.729698Z"
}
},
"outputs": [
@@ -99,10 +99,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:26.149319Z",
- "iopub.status.busy": "2023-12-01T10:20:26.148721Z",
- "iopub.status.idle": "2023-12-01T10:20:26.607268Z",
- "shell.execute_reply": "2023-12-01T10:20:26.605588Z"
+ "iopub.execute_input": "2024-11-29T15:15:05.733682Z",
+ "iopub.status.busy": "2024-11-29T15:15:05.733370Z",
+ "iopub.status.idle": "2024-11-29T15:15:06.388229Z",
+ "shell.execute_reply": "2024-11-29T15:15:06.387362Z"
}
},
"outputs": [],
@@ -117,10 +117,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:26.613020Z",
- "iopub.status.busy": "2023-12-01T10:20:26.612570Z",
- "iopub.status.idle": "2023-12-01T10:20:26.790295Z",
- "shell.execute_reply": "2023-12-01T10:20:26.789731Z"
+ "iopub.execute_input": "2024-11-29T15:15:06.391365Z",
+ "iopub.status.busy": "2024-11-29T15:15:06.391055Z",
+ "iopub.status.idle": "2024-11-29T15:15:06.696447Z",
+ "shell.execute_reply": "2024-11-29T15:15:06.695810Z"
}
},
"outputs": [
@@ -166,10 +166,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:26.792689Z",
- "iopub.status.busy": "2023-12-01T10:20:26.792444Z",
- "iopub.status.idle": "2023-12-01T10:20:27.236640Z",
- "shell.execute_reply": "2023-12-01T10:20:27.233434Z"
+ "iopub.execute_input": "2024-11-29T15:15:06.699334Z",
+ "iopub.status.busy": "2024-11-29T15:15:06.699039Z",
+ "iopub.status.idle": "2024-11-29T15:15:07.334959Z",
+ "shell.execute_reply": "2024-11-29T15:15:07.334167Z"
}
},
"outputs": [
@@ -210,10 +210,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:27.240447Z",
- "iopub.status.busy": "2023-12-01T10:20:27.240233Z",
- "iopub.status.idle": "2023-12-01T10:20:27.693379Z",
- "shell.execute_reply": "2023-12-01T10:20:27.689540Z"
+ "iopub.execute_input": "2024-11-29T15:15:07.338141Z",
+ "iopub.status.busy": "2024-11-29T15:15:07.337828Z",
+ "iopub.status.idle": "2024-11-29T15:15:07.976124Z",
+ "shell.execute_reply": "2024-11-29T15:15:07.975243Z"
}
},
"outputs": [],
@@ -226,10 +226,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:27.696600Z",
- "iopub.status.busy": "2023-12-01T10:20:27.696397Z",
- "iopub.status.idle": "2023-12-01T10:20:27.705025Z",
- "shell.execute_reply": "2023-12-01T10:20:27.704400Z"
+ "iopub.execute_input": "2024-11-29T15:15:07.979377Z",
+ "iopub.status.busy": "2024-11-29T15:15:07.979056Z",
+ "iopub.status.idle": "2024-11-29T15:15:07.989578Z",
+ "shell.execute_reply": "2024-11-29T15:15:07.988946Z"
}
},
"outputs": [
@@ -258,14 +258,7 @@
"17 3.4 2.159925 2.228483 2.234284\n",
"18 3.6 2.087530 2.181256 2.182404\n",
"19 3.8 2.073202 2.181683 2.168199\n",
- "20 4.0 2.131447 2.190048 2.179203"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n"
+ "20 4.0 2.131447 2.190048 2.179203\n"
]
}
],
@@ -281,10 +274,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:27.707207Z",
- "iopub.status.busy": "2023-12-01T10:20:27.706985Z",
- "iopub.status.idle": "2023-12-01T10:20:28.186382Z",
- "shell.execute_reply": "2023-12-01T10:20:28.182857Z"
+ "iopub.execute_input": "2024-11-29T15:15:07.992322Z",
+ "iopub.status.busy": "2024-11-29T15:15:07.992028Z",
+ "iopub.status.idle": "2024-11-29T15:15:08.677010Z",
+ "shell.execute_reply": "2024-11-29T15:15:08.676128Z"
}
},
"outputs": [],
@@ -297,10 +290,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:28.190353Z",
- "iopub.status.busy": "2023-12-01T10:20:28.190145Z",
- "iopub.status.idle": "2023-12-01T10:20:28.200242Z",
- "shell.execute_reply": "2023-12-01T10:20:28.199640Z"
+ "iopub.execute_input": "2024-11-29T15:15:08.680253Z",
+ "iopub.status.busy": "2024-11-29T15:15:08.679927Z",
+ "iopub.status.idle": "2024-11-29T15:15:08.689822Z",
+ "shell.execute_reply": "2024-11-29T15:15:08.689179Z"
}
},
"outputs": [
@@ -354,10 +347,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:28.202554Z",
- "iopub.status.busy": "2023-12-01T10:20:28.202324Z",
- "iopub.status.idle": "2023-12-01T10:20:28.650897Z",
- "shell.execute_reply": "2023-12-01T10:20:28.647393Z"
+ "iopub.execute_input": "2024-11-29T15:15:08.692713Z",
+ "iopub.status.busy": "2024-11-29T15:15:08.692418Z",
+ "iopub.status.idle": "2024-11-29T15:15:09.327064Z",
+ "shell.execute_reply": "2024-11-29T15:15:09.326276Z"
}
},
"outputs": [
@@ -395,10 +388,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:28.654438Z",
- "iopub.status.busy": "2023-12-01T10:20:28.654264Z",
- "iopub.status.idle": "2023-12-01T10:20:29.105141Z",
- "shell.execute_reply": "2023-12-01T10:20:29.103297Z"
+ "iopub.execute_input": "2024-11-29T15:15:09.330372Z",
+ "iopub.status.busy": "2024-11-29T15:15:09.330055Z",
+ "iopub.status.idle": "2024-11-29T15:15:09.971163Z",
+ "shell.execute_reply": "2024-11-29T15:15:09.970276Z"
}
},
"outputs": [],
@@ -413,10 +406,10 @@
"execution_count": 12,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:29.111867Z",
- "iopub.status.busy": "2023-12-01T10:20:29.111263Z",
- "iopub.status.idle": "2023-12-01T10:20:29.168935Z",
- "shell.execute_reply": "2023-12-01T10:20:29.168108Z"
+ "iopub.execute_input": "2024-11-29T15:15:09.974370Z",
+ "iopub.status.busy": "2024-11-29T15:15:09.974056Z",
+ "iopub.status.idle": "2024-11-29T15:15:10.011660Z",
+ "shell.execute_reply": "2024-11-29T15:15:10.011019Z"
}
},
"outputs": [
@@ -560,7 +553,14 @@
"30 1.177285e-12 8.840443e-11 \n",
"31 9.967939e-13 7.478408e-11 \n",
"\n",
- "[32 rows x 37 columns]\n"
+ "[32 rows x 37 columns]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n"
]
}
],
diff --git a/notebooks/data_manip/extraction/output_file_extraction.ipynb b/notebooks/data_manip/extraction/output_file_extraction.ipynb
index 9f81641636..2a143a9956 100644
--- a/notebooks/data_manip/extraction/output_file_extraction.ipynb
+++ b/notebooks/data_manip/extraction/output_file_extraction.ipynb
@@ -19,10 +19,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:30.253736Z",
- "iopub.status.busy": "2023-12-01T10:20:30.253025Z",
- "iopub.status.idle": "2023-12-01T10:20:36.179179Z",
- "shell.execute_reply": "2023-12-01T10:20:36.178180Z"
+ "iopub.execute_input": "2024-11-29T15:15:11.360822Z",
+ "iopub.status.busy": "2024-11-29T15:15:11.360547Z",
+ "iopub.status.idle": "2024-11-29T15:15:22.138531Z",
+ "shell.execute_reply": "2024-11-29T15:15:22.137785Z"
}
},
"outputs": [
@@ -34,13 +34,7 @@
"\r\n",
"Loading Options and Configurations\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
- "\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "\r\n",
" _ \r\n",
" (_) \r\n",
" _ __ ___ __ _ _ _ __ \r\n",
@@ -48,7 +42,13 @@
" | | | | | || (_| || || | | |\r\n",
" |_| |_| |_| \\__,_||_||_| |_|\r\n",
" \r\n",
- " \r\n",
+ " \r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"\r\n",
"\r\n",
"Running your CAS file(s) for:\r\n",
@@ -87,10 +87,10 @@
"... checking parallelisation\r\n",
"\r\n",
"... handling temporary directories\r\n",
- " copying: t2d_bump_FE.cas -> <root>/examples/telemac2d/bump/t2d_bump_FE.cas_2023-12-01-11h20min33s/T2DCAS\r\n",
- " copying: telemac2d.dico -> <root>/examples/telemac2d/bump/t2d_bump_FE.cas_2023-12-01-11h20min33s/T2DDICO\r\n",
- " copying: geo_bump.slf -> <root>/examples/telemac2d/bump/t2d_bump_FE.cas_2023-12-01-11h20min33s/T2DGEO\r\n",
- " copying: geo_bump_flu.cli -> <root>/examples/telemac2d/bump/t2d_bump_FE.cas_2023-12-01-11h20min33s/T2DCLI\r\n",
+ " copying: t2d_bump_FE.cas -> <root>/examples/telemac2d/bump/t2d_bump_FE.cas_2024-11-29-16h15min17s/T2DCAS\r\n",
+ " copying: telemac2d.dico -> <root>/examples/telemac2d/bump/t2d_bump_FE.cas_2024-11-29-16h15min17s/T2DDICO\r\n",
+ " copying: geo_bump.slf -> <root>/examples/telemac2d/bump/t2d_bump_FE.cas_2024-11-29-16h15min17s/T2DGEO\r\n",
+ " copying: geo_bump_flu.cli -> <root>/examples/telemac2d/bump/t2d_bump_FE.cas_2024-11-29-16h15min17s/T2DCLI\r\n",
"[ ] 0% | ---s\r",
"[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 33% | 1s\r",
" \r",
@@ -110,7 +110,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " ... completed\r\n",
+ " ... completed\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" compiling: user_corfon.f"
]
},
@@ -141,18 +147,39 @@
"\r\n",
"\r\n",
"\r\n",
- "In /home/d60881/telemac/examples/telemac2d/bump/t2d_bump_FE.cas_2023-12-01-11h20min33s:\r\n",
- "mpirun --use-hwthread-cpus -np 1 /home/d60881/telemac/examples/telemac2d/bump/t2d_bump_FE.cas_2023-12-01-11h20min33s/out_user_fortran\r\n",
+ "In /home/d60881/telemac/examples/telemac2d/bump/t2d_bump_FE.cas_2024-11-29-16h15min17s:\r\n",
+ "mpirun --use-hwthread-cpus -np 1 /home/d60881/telemac/examples/telemac2d/bump/t2d_bump_FE.cas_2024-11-29-16h15min17s/out_user_fortran\r\n",
"\r\n",
"\r\n"
]
},
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\r\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
"text": [
" MASTER PROCESSOR NUMBER 0 OF THE GROUP OF 1\r\n",
- " EXECUTABLE FILE: /home/d60881/telemac/examples/telemac2d/bump/t2d_bump_FE.cas_2023-12-01-11h20min33s/A.EXE\r\n",
+ " EXECUTABLE FILE: /home/d60881/telemac/examples/telemac2d/bump/t2d_bump_FE.cas_2024-11-29-16h15min17s/A.EXE\r\n",
" LISTING OF TELEMAC2D------------------------------------------------------------------------------\r\n",
"\r\n",
" TTTTT EEEEE L EEEEE M M AAAAA CCCCC\r\n",
@@ -161,7 +188,7 @@
" T E L E M M A A C\r\n",
" T EEEEE LLLLL EEEEE M M A A CCCCC\r\n",
"\r\n",
- " 2D VERSION V8P5 FORTRAN 2003\r\n",
+ " 2D VERSION MAIN FORTRAN 2003\r\n",
"\r\n",
" ~^~^~^~^~^~^~^~^~^~^~^^~^~^~^~^~^~\r\n",
" ~ ~\r\n",
@@ -180,13 +207,7 @@
" { { /^^^^^^^^^^^^\r\n",
" ^^^^^^^^^\\ /\r\n",
" ^^^^^^^^^\r\n",
- "\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "\r\n",
" DIFFERENT NUMBER OF PARALLEL PROCESSORS:\r\n",
" DECLARED BEFORE (CASE OF COUPLING ?): 1\r\n",
" TELEMAC-2D : 0\r\n",
@@ -270,7 +291,7 @@
"================================================================================\r\n",
" ITERATION 0 TIME: 0.0000 S\r\n",
" TELEMAC2D INITIALIZED\r\n",
- " USING STREAMLINE VERSION V8P5 FOR CHARACTERISTICS\r\n"
+ " USING STREAMLINE VERSION MAIN FOR CHARACTERISTICS\r\n"
]
},
{
@@ -411,22 +432,22 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "STOP 0\r\n",
" *************************************\r\n",
" * END OF MEMORY ORGANIZATION: *\r\n",
" *************************************\r\n",
+ "STOP 0\r\n",
"\r\n",
" CORRECT END OF RUN\r\n",
"\r\n",
" ELAPSE TIME :\r\n",
- " 2 SECONDS\r\n",
+ " 3 SECONDS\r\n",
"... merging separated result files\r\n",
"\r\n",
"... handling result files\r\n",
"\r\n",
" moving: r2d_bump.slf\r\n",
" moving: mass_matrix_tf.txt\r\n",
- " copying: t2d_bump_FE.cas_2023-12-01-11h20min33s.sortie\r\n",
+ " copying: t2d_bump_FE.cas_2024-11-29-16h15min17s.sortie\r\n",
"... deleting working dir\r\n",
"\r\n",
"\r\n",
@@ -455,10 +476,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:36.183184Z",
- "iopub.status.busy": "2023-12-01T10:20:36.182893Z",
- "iopub.status.idle": "2023-12-01T10:20:36.227762Z",
- "shell.execute_reply": "2023-12-01T10:20:36.227228Z"
+ "iopub.execute_input": "2024-11-29T15:15:22.141838Z",
+ "iopub.status.busy": "2024-11-29T15:15:22.141524Z",
+ "iopub.status.idle": "2024-11-29T15:15:22.226865Z",
+ "shell.execute_reply": "2024-11-29T15:15:22.226242Z"
}
},
"outputs": [
@@ -466,7 +487,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "/home/d60881/telemac/examples/telemac2d/bump/t2d_bump_FE.cas_2023-12-01-11h20min33s.sortie\n"
+ "/home/d60881/telemac/examples/telemac2d/bump/t2d_bump_FE.cas_2024-11-29-16h15min17s.sortie\n"
]
}
],
@@ -498,10 +519,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:36.230467Z",
- "iopub.status.busy": "2023-12-01T10:20:36.230214Z",
- "iopub.status.idle": "2023-12-01T10:20:36.236438Z",
- "shell.execute_reply": "2023-12-01T10:20:36.235894Z"
+ "iopub.execute_input": "2024-11-29T15:15:22.229832Z",
+ "iopub.status.busy": "2024-11-29T15:15:22.229443Z",
+ "iopub.status.idle": "2024-11-29T15:15:22.238295Z",
+ "shell.execute_reply": "2024-11-29T15:15:22.237675Z"
}
},
"outputs": [
@@ -562,10 +583,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:36.238993Z",
- "iopub.status.busy": "2023-12-01T10:20:36.238820Z",
- "iopub.status.idle": "2023-12-01T10:20:36.243763Z",
- "shell.execute_reply": "2023-12-01T10:20:36.243280Z"
+ "iopub.execute_input": "2024-11-29T15:15:22.241118Z",
+ "iopub.status.busy": "2024-11-29T15:15:22.240842Z",
+ "iopub.status.idle": "2024-11-29T15:15:22.247456Z",
+ "shell.execute_reply": "2024-11-29T15:15:22.246833Z"
}
},
"outputs": [
@@ -588,10 +609,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:36.246164Z",
- "iopub.status.busy": "2023-12-01T10:20:36.246015Z",
- "iopub.status.idle": "2023-12-01T10:20:36.249222Z",
- "shell.execute_reply": "2023-12-01T10:20:36.248812Z"
+ "iopub.execute_input": "2024-11-29T15:15:22.250199Z",
+ "iopub.status.busy": "2024-11-29T15:15:22.249915Z",
+ "iopub.status.idle": "2024-11-29T15:15:22.254968Z",
+ "shell.execute_reply": "2024-11-29T15:15:22.254364Z"
}
},
"outputs": [
@@ -613,10 +634,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:36.251978Z",
- "iopub.status.busy": "2023-12-01T10:20:36.251830Z",
- "iopub.status.idle": "2023-12-01T10:20:36.257841Z",
- "shell.execute_reply": "2023-12-01T10:20:36.257442Z"
+ "iopub.execute_input": "2024-11-29T15:15:22.257705Z",
+ "iopub.status.busy": "2024-11-29T15:15:22.257425Z",
+ "iopub.status.idle": "2024-11-29T15:15:22.268332Z",
+ "shell.execute_reply": "2024-11-29T15:15:22.267704Z"
}
},
"outputs": [
@@ -624,7 +645,11 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "(('Time (s)', array([ 0., 20., 40., 60., 80., 100., 120.])), [('Volumes (m3/s)', [38.74669, 28.50519, 31.34269, 30.36529, 30.60944, 30.5825, 30.56309]), ('Fluxes (-)', ['Boundary 1', 'Boundary 2'], [[0.0, -1.332113, -1.671341, -1.44589, -1.521253, -1.492047, -1.502428], [0.0, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5]]), ('Error (-)', [0.0, 1.83804e-08, 3.899414e-08, 1.657565e-09, -1.315471e-08, 1.209125e-08, -7.749267e-09])])\n"
+ "Time (s): 60.0\n",
+ "Volumes (m3/s): 30.36529\n",
+ "Fluxes (-): Boundary 1 -1.44589\n",
+ "Fluxes (-): Boundary 2 1.5\n",
+ "Error (-): 1.657565e-09\n"
]
}
],
@@ -644,10 +669,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:36.260366Z",
- "iopub.status.busy": "2023-12-01T10:20:36.260184Z",
- "iopub.status.idle": "2023-12-01T10:20:36.263934Z",
- "shell.execute_reply": "2023-12-01T10:20:36.263505Z"
+ "iopub.execute_input": "2024-11-29T15:15:22.271094Z",
+ "iopub.status.busy": "2024-11-29T15:15:22.270809Z",
+ "iopub.status.idle": "2024-11-29T15:15:22.275833Z",
+ "shell.execute_reply": "2024-11-29T15:15:22.275229Z"
}
},
"outputs": [
@@ -655,7 +680,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "2.0\n"
+ "3.0\n"
]
}
],
diff --git a/notebooks/data_manip/extraction/regular_grid.ipynb b/notebooks/data_manip/extraction/regular_grid.ipynb
index c1cc53b60a..e26e94306b 100644
--- a/notebooks/data_manip/extraction/regular_grid.ipynb
+++ b/notebooks/data_manip/extraction/regular_grid.ipynb
@@ -19,10 +19,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:37.255824Z",
- "iopub.status.busy": "2023-12-01T10:20:37.254502Z",
- "iopub.status.idle": "2023-12-01T10:20:37.676646Z",
- "shell.execute_reply": "2023-12-01T10:20:37.676068Z"
+ "iopub.execute_input": "2024-11-29T15:15:23.625637Z",
+ "iopub.status.busy": "2024-11-29T15:15:23.625359Z",
+ "iopub.status.idle": "2024-11-29T15:15:24.232174Z",
+ "shell.execute_reply": "2024-11-29T15:15:24.231476Z"
}
},
"outputs": [],
@@ -65,10 +65,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:37.678990Z",
- "iopub.status.busy": "2023-12-01T10:20:37.678775Z",
- "iopub.status.idle": "2023-12-01T10:20:38.598180Z",
- "shell.execute_reply": "2023-12-01T10:20:38.597716Z"
+ "iopub.execute_input": "2024-11-29T15:15:24.235582Z",
+ "iopub.status.busy": "2024-11-29T15:15:24.235228Z",
+ "iopub.status.idle": "2024-11-29T15:15:25.701900Z",
+ "shell.execute_reply": "2024-11-29T15:15:25.701213Z"
}
},
"outputs": [
@@ -117,10 +117,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:38.600550Z",
- "iopub.status.busy": "2023-12-01T10:20:38.600367Z",
- "iopub.status.idle": "2023-12-01T10:20:39.364185Z",
- "shell.execute_reply": "2023-12-01T10:20:39.363596Z"
+ "iopub.execute_input": "2024-11-29T15:15:25.705836Z",
+ "iopub.status.busy": "2024-11-29T15:15:25.705535Z",
+ "iopub.status.idle": "2024-11-29T15:15:26.776509Z",
+ "shell.execute_reply": "2024-11-29T15:15:26.775839Z"
}
},
"outputs": [],
@@ -174,10 +174,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:39.366394Z",
- "iopub.status.busy": "2023-12-01T10:20:39.366218Z",
- "iopub.status.idle": "2023-12-01T10:20:39.370587Z",
- "shell.execute_reply": "2023-12-01T10:20:39.370028Z"
+ "iopub.execute_input": "2024-11-29T15:15:26.779544Z",
+ "iopub.status.busy": "2024-11-29T15:15:26.779248Z",
+ "iopub.status.idle": "2024-11-29T15:15:26.784663Z",
+ "shell.execute_reply": "2024-11-29T15:15:26.783995Z"
}
},
"outputs": [],
@@ -204,10 +204,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:39.372666Z",
- "iopub.status.busy": "2023-12-01T10:20:39.372480Z",
- "iopub.status.idle": "2023-12-01T10:20:41.024866Z",
- "shell.execute_reply": "2023-12-01T10:20:41.024315Z"
+ "iopub.execute_input": "2024-11-29T15:15:26.787668Z",
+ "iopub.status.busy": "2024-11-29T15:15:26.787380Z",
+ "iopub.status.idle": "2024-11-29T15:15:29.423248Z",
+ "shell.execute_reply": "2024-11-29T15:15:29.422633Z"
}
},
"outputs": [
diff --git a/notebooks/data_manip/extraction/shape_file_reader.ipynb b/notebooks/data_manip/extraction/shape_file_reader.ipynb
index 9eabc89deb..41c9758ac7 100644
--- a/notebooks/data_manip/extraction/shape_file_reader.ipynb
+++ b/notebooks/data_manip/extraction/shape_file_reader.ipynb
@@ -14,10 +14,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:42.019825Z",
- "iopub.status.busy": "2023-12-01T10:20:42.018853Z",
- "iopub.status.idle": "2023-12-01T10:20:42.515791Z",
- "shell.execute_reply": "2023-12-01T10:20:42.515273Z"
+ "iopub.execute_input": "2024-11-29T15:15:30.732862Z",
+ "iopub.status.busy": "2024-11-29T15:15:30.732590Z",
+ "iopub.status.idle": "2024-11-29T15:15:31.587327Z",
+ "shell.execute_reply": "2024-11-29T15:15:31.586654Z"
}
},
"outputs": [
@@ -90,10 +90,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:42.517842Z",
- "iopub.status.busy": "2023-12-01T10:20:42.517614Z",
- "iopub.status.idle": "2023-12-01T10:20:42.522290Z",
- "shell.execute_reply": "2023-12-01T10:20:42.521854Z"
+ "iopub.execute_input": "2024-11-29T15:15:31.590909Z",
+ "iopub.status.busy": "2024-11-29T15:15:31.590540Z",
+ "iopub.status.idle": "2024-11-29T15:15:31.595929Z",
+ "shell.execute_reply": "2024-11-29T15:15:31.595321Z"
}
},
"outputs": [
@@ -205,10 +205,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:42.524870Z",
- "iopub.status.busy": "2023-12-01T10:20:42.524681Z",
- "iopub.status.idle": "2023-12-01T10:20:42.529332Z",
- "shell.execute_reply": "2023-12-01T10:20:42.528936Z"
+ "iopub.execute_input": "2024-11-29T15:15:31.598898Z",
+ "iopub.status.busy": "2024-11-29T15:15:31.598609Z",
+ "iopub.status.idle": "2024-11-29T15:15:31.604008Z",
+ "shell.execute_reply": "2024-11-29T15:15:31.603406Z"
}
},
"outputs": [
@@ -320,10 +320,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:42.531819Z",
- "iopub.status.busy": "2023-12-01T10:20:42.531630Z",
- "iopub.status.idle": "2023-12-01T10:20:43.040468Z",
- "shell.execute_reply": "2023-12-01T10:20:43.037838Z"
+ "iopub.execute_input": "2024-11-29T15:15:31.607020Z",
+ "iopub.status.busy": "2024-11-29T15:15:31.606737Z",
+ "iopub.status.idle": "2024-11-29T15:15:32.345847Z",
+ "shell.execute_reply": "2024-11-29T15:15:32.345080Z"
}
},
"outputs": [
@@ -355,10 +355,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:43.048110Z",
- "iopub.status.busy": "2023-12-01T10:20:43.047895Z",
- "iopub.status.idle": "2023-12-01T10:20:43.515446Z",
- "shell.execute_reply": "2023-12-01T10:20:43.512341Z"
+ "iopub.execute_input": "2024-11-29T15:15:32.349138Z",
+ "iopub.status.busy": "2024-11-29T15:15:32.348826Z",
+ "iopub.status.idle": "2024-11-29T15:15:33.069611Z",
+ "shell.execute_reply": "2024-11-29T15:15:33.068819Z"
}
},
"outputs": [
diff --git a/notebooks/data_manip/extraction/telemac_file.ipynb b/notebooks/data_manip/extraction/telemac_file.ipynb
index eb912ae59f..e2b8b6d647 100644
--- a/notebooks/data_manip/extraction/telemac_file.ipynb
+++ b/notebooks/data_manip/extraction/telemac_file.ipynb
@@ -20,10 +20,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:44.513892Z",
- "iopub.status.busy": "2023-12-01T10:20:44.512798Z",
- "iopub.status.idle": "2023-12-01T10:20:44.800944Z",
- "shell.execute_reply": "2023-12-01T10:20:44.800280Z"
+ "iopub.execute_input": "2024-11-29T15:15:34.305461Z",
+ "iopub.status.busy": "2024-11-29T15:15:34.305195Z",
+ "iopub.status.idle": "2024-11-29T15:15:34.720064Z",
+ "shell.execute_reply": "2024-11-29T15:15:34.719395Z"
}
},
"outputs": [
@@ -34,9 +34,15 @@
"Help on class TelemacFile in module data_manip.extraction.telemac_file:\n",
"\n",
"class TelemacFile(telapy.api.hermes.HermesFile)\n",
- " | TelemacFile(file_name, bnd_file=None, log_lvl='INFO', fformat=None, access='r')\n",
+ " | TelemacFile(file_name, bnd_file=None, log_lvl='INFO', fformat=None, access='r', overwrite=False)\n",
" | \n",
- " | Class to extract data from a TelemacFile\n",
+ " | Class used to wrap read/write access to a TELEMAC mesh file.\n",
+ " | If the HERMES Python wrapper is available, this class inherits from\n",
+ " | HermesFile, giving much better performance and access to all the file\n",
+ " | formats supported by HERMES.\n",
+ " | If the HERMES wrapper is not available, the class inherits from\n",
+ " | SerafinFile, which is a pure Python class, much slower and giving access\n",
+ " | only to the SELAFIN format.\n",
" | \n",
" | Method resolution order:\n",
" | TelemacFile\n",
@@ -47,15 +53,19 @@
" | \n",
" | __del__(self)\n",
" | \n",
- " | __init__(self, file_name, bnd_file=None, log_lvl='INFO', fformat=None, access='r')\n",
- " | Initialisation of a file reader\n",
+ " | __init__(self, file_name, bnd_file=None, log_lvl='INFO', fformat=None, access='r', overwrite=False)\n",
+ " | TelemacFile constructor.\n",
" | \n",
- " | @param file_name (str) Name of the mesh file\n",
- " | @param bnd_file (str) Name of the boundary file (default None)\n",
- " | @param log_lvl (str) Level of log information\n",
- " | @param fformat (str) Format of the file if not given .med -> MED\n",
- " | otherwise SERAFIN\n",
- " | @param access (str) 'r' for read 'w' for write 'rw' for readwrite\n",
+ " | @param file_name (str) Mesh file name.\n",
+ " | @param bnd_file (str) Boundary file name if any.\n",
+ " | @param log_lvl (str) Level of log information.\n",
+ " | @param fformat (str) Mesh file format. If not given, the file extension\n",
+ " | will be used to guess it (e.g. .med -> MED), otherwise defaults to\n",
+ " | SERAFIN.\n",
+ " | @param access (string) File access mode ('r' for read, 'w' for write,\n",
+ " | 'rw' for readwrite).\n",
+ " | @param overwrite (bool) If True, any existing file of the same name\n",
+ " | will be overwritten if the file is opened for writing only ('w').\n",
" | \n",
" | add_bnd(self, ikle, lihbor=None, liubor=None, livbor=None, hbor=None, ubor=None, vbor=None, chbord=None, litbor=None, tbor=None, atbor=None, btbor=None, color=None)\n",
" | Adding boundary information in the class\n",
@@ -201,6 +211,15 @@
" | \n",
" | @returns (numpy.array)\n",
" | \n",
+ " | get_interpolator(self, values, interp_method='matplotlib.LinearTri')\n",
+ " | Generate a mesh interpolator for the given values, based on\n",
+ " | the chosen interpolation method:\n",
+ " | scipy.LinearND\n",
+ " | matplotlib.LinearTri (default)\n",
+ " | \n",
+ " | @param values (np.array) Values for each mesh point.\n",
+ " | @param interp_method (str) Interpolation method to use.\n",
+ " | \n",
" | get_liq_bnd_info(self)\n",
" | Returns info on the liquid boundaries\n",
" | \n",
@@ -275,11 +294,13 @@
" | @returns (str) name of the variable containing the z elevation\n",
" | \n",
" | interpolate_mesh_on_points(self, points, values, interp_method='matplotlib.LinearTri')\n",
- " | Interpolate mesh on points given value\n",
+ " | Interpolate mesh on given points for a set of values.\n",
+ " | \n",
+ " | @param points (list) List of points for which to interpolate.\n",
+ " | @param values (ndarray) Values for each mesh point.\n",
+ " | @param method (str) Interpolation method to use.\n",
" | \n",
- " | @param points (list) List og points for which to interpolate\n",
- " | @param values (np.darray) values for each mesh points\n",
- " | @param method (string) Interpolation methof to use\n",
+ " | @return (ndarray) The interpolated values.\n",
" | \n",
" | interpolate_xyz_on_mesh(self, xyz, kind='nearest', poly=None, loc='inside', init=None, px=None, py=None, pe=0.25, **kwargs)\n",
" | Interpolate xyz information on the TelemacFile mesh\n",
@@ -371,13 +392,13 @@
" | @param reset (boolean) Force computing neighbours\n",
" | \n",
" | write(self)\n",
- " | Writting data from class into file\n",
+ " | Writing data from class into file\n",
" | \n",
" | write_data(self)\n",
- " | Writting data from class into file\n",
+ " | Writing data from class into file\n",
" | \n",
" | write_mesh(self)\n",
- " | Writting mesh from class into file\n",
+ " | Writing mesh from class into file\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Readonly properties defined here:\n",
@@ -752,10 +773,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:44.803882Z",
- "iopub.status.busy": "2023-12-01T10:20:44.803640Z",
- "iopub.status.idle": "2023-12-01T10:20:44.828102Z",
- "shell.execute_reply": "2023-12-01T10:20:44.827602Z"
+ "iopub.execute_input": "2024-11-29T15:15:34.723020Z",
+ "iopub.status.busy": "2024-11-29T15:15:34.722681Z",
+ "iopub.status.idle": "2024-11-29T15:15:34.762150Z",
+ "shell.execute_reply": "2024-11-29T15:15:34.761519Z"
}
},
"outputs": [
@@ -1325,10 +1346,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:44.831109Z",
- "iopub.status.busy": "2023-12-01T10:20:44.830929Z",
- "iopub.status.idle": "2023-12-01T10:20:44.833808Z",
- "shell.execute_reply": "2023-12-01T10:20:44.833344Z"
+ "iopub.execute_input": "2024-11-29T15:15:34.765017Z",
+ "iopub.status.busy": "2024-11-29T15:15:34.764729Z",
+ "iopub.status.idle": "2024-11-29T15:15:34.768506Z",
+ "shell.execute_reply": "2024-11-29T15:15:34.767895Z"
}
},
"outputs": [],
@@ -1342,10 +1363,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:44.836220Z",
- "iopub.status.busy": "2023-12-01T10:20:44.836057Z",
- "iopub.status.idle": "2023-12-01T10:20:44.840738Z",
- "shell.execute_reply": "2023-12-01T10:20:44.840241Z"
+ "iopub.execute_input": "2024-11-29T15:15:34.771204Z",
+ "iopub.status.busy": "2024-11-29T15:15:34.770934Z",
+ "iopub.status.idle": "2024-11-29T15:15:34.777337Z",
+ "shell.execute_reply": "2024-11-29T15:15:34.776706Z"
}
},
"outputs": [
@@ -1390,10 +1411,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:44.843307Z",
- "iopub.status.busy": "2023-12-01T10:20:44.843120Z",
- "iopub.status.idle": "2023-12-01T10:20:44.847992Z",
- "shell.execute_reply": "2023-12-01T10:20:44.847515Z"
+ "iopub.execute_input": "2024-11-29T15:15:34.780101Z",
+ "iopub.status.busy": "2024-11-29T15:15:34.779809Z",
+ "iopub.status.idle": "2024-11-29T15:15:34.786567Z",
+ "shell.execute_reply": "2024-11-29T15:15:34.785941Z"
}
},
"outputs": [
@@ -1442,10 +1463,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:44.850555Z",
- "iopub.status.busy": "2023-12-01T10:20:44.850380Z",
- "iopub.status.idle": "2023-12-01T10:20:44.861319Z",
- "shell.execute_reply": "2023-12-01T10:20:44.860832Z"
+ "iopub.execute_input": "2024-11-29T15:15:34.789374Z",
+ "iopub.status.busy": "2024-11-29T15:15:34.789089Z",
+ "iopub.status.idle": "2024-11-29T15:15:34.811952Z",
+ "shell.execute_reply": "2024-11-29T15:15:34.811312Z"
}
},
"outputs": [
@@ -1679,10 +1700,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:44.864255Z",
- "iopub.status.busy": "2023-12-01T10:20:44.864090Z",
- "iopub.status.idle": "2023-12-01T10:20:44.892226Z",
- "shell.execute_reply": "2023-12-01T10:20:44.891552Z"
+ "iopub.execute_input": "2024-11-29T15:15:34.814829Z",
+ "iopub.status.busy": "2024-11-29T15:15:34.814537Z",
+ "iopub.status.idle": "2024-11-29T15:15:34.836483Z",
+ "shell.execute_reply": "2024-11-29T15:15:34.835828Z"
}
},
"outputs": [
@@ -1724,10 +1745,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:44.894817Z",
- "iopub.status.busy": "2023-12-01T10:20:44.894633Z",
- "iopub.status.idle": "2023-12-01T10:20:45.842915Z",
- "shell.execute_reply": "2023-12-01T10:20:45.842318Z"
+ "iopub.execute_input": "2024-11-29T15:15:34.839287Z",
+ "iopub.status.busy": "2024-11-29T15:15:34.839005Z",
+ "iopub.status.idle": "2024-11-29T15:15:36.212636Z",
+ "shell.execute_reply": "2024-11-29T15:15:36.211865Z"
},
"scrolled": true
},
@@ -3488,10 +3509,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:45.845193Z",
- "iopub.status.busy": "2023-12-01T10:20:45.845031Z",
- "iopub.status.idle": "2023-12-01T10:20:45.871123Z",
- "shell.execute_reply": "2023-12-01T10:20:45.870514Z"
+ "iopub.execute_input": "2024-11-29T15:15:36.216124Z",
+ "iopub.status.busy": "2024-11-29T15:15:36.215801Z",
+ "iopub.status.idle": "2024-11-29T15:15:36.238822Z",
+ "shell.execute_reply": "2024-11-29T15:15:36.238166Z"
}
},
"outputs": [
@@ -3532,10 +3553,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:45.873728Z",
- "iopub.status.busy": "2023-12-01T10:20:45.873465Z",
- "iopub.status.idle": "2023-12-01T10:20:46.830504Z",
- "shell.execute_reply": "2023-12-01T10:20:46.829903Z"
+ "iopub.execute_input": "2024-11-29T15:15:36.241793Z",
+ "iopub.status.busy": "2024-11-29T15:15:36.241510Z",
+ "iopub.status.idle": "2024-11-29T15:15:37.609184Z",
+ "shell.execute_reply": "2024-11-29T15:15:37.608418Z"
}
},
"outputs": [
@@ -3803,10 +3824,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:46.833220Z",
- "iopub.status.busy": "2023-12-01T10:20:46.833062Z",
- "iopub.status.idle": "2023-12-01T10:20:46.840239Z",
- "shell.execute_reply": "2023-12-01T10:20:46.839826Z"
+ "iopub.execute_input": "2024-11-29T15:15:37.612340Z",
+ "iopub.status.busy": "2024-11-29T15:15:37.612019Z",
+ "iopub.status.idle": "2024-11-29T15:15:37.622649Z",
+ "shell.execute_reply": "2024-11-29T15:15:37.622005Z"
}
},
"outputs": [],
@@ -3856,10 +3877,10 @@
"execution_count": 12,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:46.842734Z",
- "iopub.status.busy": "2023-12-01T10:20:46.842586Z",
- "iopub.status.idle": "2023-12-01T10:20:46.998961Z",
- "shell.execute_reply": "2023-12-01T10:20:46.998555Z"
+ "iopub.execute_input": "2024-11-29T15:15:37.625514Z",
+ "iopub.status.busy": "2024-11-29T15:15:37.625221Z",
+ "iopub.status.idle": "2024-11-29T15:15:37.900031Z",
+ "shell.execute_reply": "2024-11-29T15:15:37.899394Z"
}
},
"outputs": [
@@ -4834,7 +4855,7 @@
{
"data": {
"text/html": [
- "<div id='943d1b48-3d21-4c93-9aae-258869e3d9f4'></div>"
+ "<div id='cd6665c0-14d3-4c35-bb69-56967c6c732f'></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
diff --git a/notebooks/execution/execution.ipynb b/notebooks/execution/execution.ipynb
index 853c274e7d..fe68eecfca 100644
--- a/notebooks/execution/execution.ipynb
+++ b/notebooks/execution/execution.ipynb
@@ -30,10 +30,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:48.149553Z",
- "iopub.status.busy": "2023-12-01T10:20:48.149379Z",
- "iopub.status.idle": "2023-12-01T10:20:48.610219Z",
- "shell.execute_reply": "2023-12-01T10:20:48.608910Z"
+ "iopub.execute_input": "2024-11-29T15:15:39.340837Z",
+ "iopub.status.busy": "2024-11-29T15:15:39.340560Z",
+ "iopub.status.idle": "2024-11-29T15:15:40.006065Z",
+ "shell.execute_reply": "2024-11-29T15:15:40.005296Z"
},
"scrolled": true
},
@@ -148,10 +148,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:48.615494Z",
- "iopub.status.busy": "2023-12-01T10:20:48.614464Z",
- "iopub.status.idle": "2023-12-01T10:20:53.073262Z",
- "shell.execute_reply": "2023-12-01T10:20:53.070769Z"
+ "iopub.execute_input": "2024-11-29T15:15:40.009386Z",
+ "iopub.status.busy": "2024-11-29T15:15:40.009080Z",
+ "iopub.status.idle": "2024-11-29T15:15:48.322042Z",
+ "shell.execute_reply": "2024-11-29T15:15:48.321338Z"
},
"scrolled": true
},
@@ -172,7 +172,13 @@
" | | | | | || (_| || || | | |\r\n",
" |_| |_| |_| \\__,_||_||_| |_|\r\n",
" \r\n",
- " \r\n",
+ " \r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"\r\n",
"\r\n",
"Running your CAS file(s) for:\r\n",
@@ -211,10 +217,10 @@
"... checking parallelisation\r\n",
"\r\n",
"... handling temporary directories\r\n",
- " copying: t2d_gouttedo.cas -> <root>/examples/telemac2d/gouttedo/t2d_gouttedo.cas_2023-12-01-11h20min51s/T2DCAS\r\n",
- " copying: telemac2d.dico -> <root>/examples/telemac2d/gouttedo/t2d_gouttedo.cas_2023-12-01-11h20min51s/T2DDICO\r\n",
- " copying: geo_gouttedo.cli -> <root>/examples/telemac2d/gouttedo/t2d_gouttedo.cas_2023-12-01-11h20min51s/T2DCLI\r\n",
- " copying: geo_gouttedo.slf -> <root>/examples/telemac2d/gouttedo/t2d_gouttedo.cas_2023-12-01-11h20min51s/T2DGEO\r\n",
+ " copying: t2d_gouttedo.cas -> <root>/examples/telemac2d/gouttedo/t2d_gouttedo.cas_2024-11-29-16h15min46s/T2DCAS\r\n",
+ " copying: telemac2d.dico -> <root>/examples/telemac2d/gouttedo/t2d_gouttedo.cas_2024-11-29-16h15min46s/T2DDICO\r\n",
+ " copying: geo_gouttedo.cli -> <root>/examples/telemac2d/gouttedo/t2d_gouttedo.cas_2024-11-29-16h15min46s/T2DCLI\r\n",
+ " copying: geo_gouttedo.slf -> <root>/examples/telemac2d/gouttedo/t2d_gouttedo.cas_2024-11-29-16h15min46s/T2DGEO\r\n",
"[ ] 0% | ---s\r",
"[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 33% | 1s\r",
" \r",
@@ -257,18 +263,39 @@
"\r\n",
"\r\n",
"\r\n",
- "In /home/d60881/telemac/examples/telemac2d/gouttedo/t2d_gouttedo.cas_2023-12-01-11h20min51s:\r\n",
- "mpirun --use-hwthread-cpus -np 1 /home/d60881/telemac/examples/telemac2d/gouttedo/t2d_gouttedo.cas_2023-12-01-11h20min51s/out_user_fortran\r\n",
+ "In /home/d60881/telemac/examples/telemac2d/gouttedo/t2d_gouttedo.cas_2024-11-29-16h15min46s:\r\n",
+ "mpirun --use-hwthread-cpus -np 1 /home/d60881/telemac/examples/telemac2d/gouttedo/t2d_gouttedo.cas_2024-11-29-16h15min46s/out_user_fortran\r\n",
"\r\n",
"\r\n"
]
},
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\r\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
"text": [
" MASTER PROCESSOR NUMBER 0 OF THE GROUP OF 1\r\n",
- " EXECUTABLE FILE: /home/d60881/telemac/examples/telemac2d/gouttedo/t2d_gouttedo.cas_2023-12-01-11h20min51s/A.EXE\r\n",
+ " EXECUTABLE FILE: /home/d60881/telemac/examples/telemac2d/gouttedo/t2d_gouttedo.cas_2024-11-29-16h15min46s/A.EXE\r\n",
" LISTING OF TELEMAC2D------------------------------------------------------------------------------\r\n",
"\r\n",
" TTTTT EEEEE L EEEEE M M AAAAA CCCCC\r\n",
@@ -277,7 +304,7 @@
" T E L E M M A A C\r\n",
" T EEEEE LLLLL EEEEE M M A A CCCCC\r\n",
"\r\n",
- " 2D VERSION V8P5 FORTRAN 2003\r\n",
+ " 2D VERSION MAIN FORTRAN 2003\r\n",
"\r\n",
" ~^~^~^~^~^~^~^~^~^~^~^^~^~^~^~^~^~\r\n",
" ~ ~\r\n",
@@ -313,13 +340,7 @@
" TELEMAC 2D: DROPLET IN A BASIN\r\n",
"\r\n",
" OPENING FILES FOR TELEMAC2D\r\n",
- " OPENING: T2DGEO-geo_gouttedo.slf\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " OPENING: T2DGEO-geo_gouttedo.slf\r\n",
" OPENING: T2DCLI-geo_gouttedo.cli\r\n",
" OPENING: T2DRES-r2d_gouttedo_v1p0.slf\r\n",
"\r\n",
@@ -381,16 +402,6 @@
"================================================================================\r\n",
" ITERATION 10 TIME: 0.4000 S\r\n",
"--------------------------------------------------------------------------------\r\n",
- " DIFFUSION-PROPAGATION STEP\r\n",
- " GMRES (BIEF) : 2 ITERATIONS, RELATIVE PRECISION: 0.7376143E-04\r\n",
- "--------------------------------------------------------------------------------\r\n",
- " BALANCE OF WATER VOLUME\r\n",
- " VOLUME IN THE DOMAIN : 999.7839 M3\r\n",
- " RELATIVE ERROR IN VOLUME AT T = 0.4000 S : -0.3411342E-14\r\n",
- "\r\n",
- "================================================================================\r\n",
- " ITERATION 20 TIME: 0.8000 S\r\n",
- "--------------------------------------------------------------------------------\r\n",
" DIFFUSION-PROPAGATION STEP\r\n"
]
},
@@ -398,21 +409,27 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " GMRES (BIEF) : 3 ITERATIONS, RELATIVE PRECISION: 0.3467233E-04\r\n",
+ " GMRES (BIEF) : 2 ITERATIONS, RELATIVE PRECISION: 0.7376143E-04\r\n",
"--------------------------------------------------------------------------------\r\n",
" BALANCE OF WATER VOLUME\r\n",
" VOLUME IN THE DOMAIN : 999.7839 M3\r\n",
- " RELATIVE ERROR IN VOLUME AT T = 0.8000 S : -0.3411342E-14\r\n",
+ " RELATIVE ERROR IN VOLUME AT T = 0.4000 S : -0.3411342E-14\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"\r\n",
"================================================================================\r\n",
- " ITERATION 30 TIME: 1.2000 S\r\n",
+ " ITERATION 20 TIME: 0.8000 S\r\n",
"--------------------------------------------------------------------------------\r\n",
" DIFFUSION-PROPAGATION STEP\r\n",
- " GMRES (BIEF) : 3 ITERATIONS, RELATIVE PRECISION: 0.4931321E-04\r\n",
+ " GMRES (BIEF) : 3 ITERATIONS, RELATIVE PRECISION: 0.3467233E-04\r\n",
"--------------------------------------------------------------------------------\r\n",
" BALANCE OF WATER VOLUME\r\n",
" VOLUME IN THE DOMAIN : 999.7839 M3\r\n",
- " RELATIVE ERROR IN VOLUME AT T = 1.200 S : 0.1137114E-14\r\n"
+ " RELATIVE ERROR IN VOLUME AT T = 0.8000 S : -0.3411342E-14\r\n"
]
},
{
@@ -421,31 +438,47 @@
"text": [
"\r\n",
"================================================================================\r\n",
- " ITERATION 40 TIME: 1.6000 S\r\n",
+ " ITERATION 30 TIME: 1.2000 S\r\n",
"--------------------------------------------------------------------------------\r\n",
- " DIFFUSION-PROPAGATION STEP\r\n",
- " GMRES (BIEF) : 4 ITERATIONS, RELATIVE PRECISION: 0.5109728E-04\r\n"
+ " DIFFUSION-PROPAGATION STEP\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
+ " GMRES (BIEF) : 3 ITERATIONS, RELATIVE PRECISION: 0.4931321E-04\r\n",
"--------------------------------------------------------------------------------\r\n",
" BALANCE OF WATER VOLUME\r\n",
" VOLUME IN THE DOMAIN : 999.7839 M3\r\n",
- " RELATIVE ERROR IN VOLUME AT T = 1.600 S : -0.6595262E-14\r\n",
+ " RELATIVE ERROR IN VOLUME AT T = 1.200 S : 0.1137114E-14\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"\r\n",
"================================================================================\r\n",
- " ITERATION 50 TIME: 2.0000 S\r\n",
+ " ITERATION 40 TIME: 1.6000 S\r\n",
"--------------------------------------------------------------------------------\r\n",
- " DIFFUSION-PROPAGATION STEP\r\n"
+ " DIFFUSION-PROPAGATION STEP\r\n",
+ " GMRES (BIEF) : 4 ITERATIONS, RELATIVE PRECISION: 0.5109728E-04\r\n",
+ "--------------------------------------------------------------------------------\r\n",
+ " BALANCE OF WATER VOLUME\r\n",
+ " VOLUME IN THE DOMAIN : 999.7839 M3\r\n",
+ " RELATIVE ERROR IN VOLUME AT T = 1.600 S : -0.6595262E-14\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
+ "\r\n",
+ "================================================================================\r\n",
+ " ITERATION 50 TIME: 2.0000 S\r\n",
+ "--------------------------------------------------------------------------------\r\n",
+ " DIFFUSION-PROPAGATION STEP\r\n",
" GMRES (BIEF) : 4 ITERATIONS, RELATIVE PRECISION: 0.4805594E-04\r\n",
"--------------------------------------------------------------------------------\r\n",
" BALANCE OF WATER VOLUME\r\n",
@@ -509,7 +542,13 @@
"================================================================================\r\n",
" ITERATION 90 TIME: 3.6000 S\r\n",
"--------------------------------------------------------------------------------\r\n",
- " DIFFUSION-PROPAGATION STEP\r\n",
+ " DIFFUSION-PROPAGATION STEP\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" GMRES (BIEF) : 4 ITERATIONS, RELATIVE PRECISION: 0.2693434E-04\r\n",
"--------------------------------------------------------------------------------\r\n",
" BALANCE OF WATER VOLUME\r\n",
@@ -552,13 +591,13 @@
"text": [
" *************************************\r\n",
" * END OF MEMORY ORGANIZATION: *\r\n",
- " *************************************STOP 0\r\n",
- "\r\n",
- "\r\n",
+ " *************************************\r\n",
+ "STOP 0\r\n",
" CORRECT END OF RUN\r\n",
"\r\n",
+ "\r\n",
" ELAPSE TIME :\r\n",
- " 0 SECONDS\r\n",
+ " 1 SECONDS\r\n",
"... merging separated result files\r\n",
"\r\n",
"... handling result files\r\n",
diff --git a/notebooks/execution/partel-gretel.ipynb b/notebooks/execution/partel-gretel.ipynb
index 50825f2f5f..3137f292cb 100644
--- a/notebooks/execution/partel-gretel.ipynb
+++ b/notebooks/execution/partel-gretel.ipynb
@@ -14,10 +14,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:54.196897Z",
- "iopub.status.busy": "2023-12-01T10:20:54.196165Z",
- "iopub.status.idle": "2023-12-01T10:20:54.671436Z",
- "shell.execute_reply": "2023-12-01T10:20:54.669837Z"
+ "iopub.execute_input": "2024-11-29T15:15:49.681530Z",
+ "iopub.status.busy": "2024-11-29T15:15:49.681256Z",
+ "iopub.status.idle": "2024-11-29T15:15:50.341956Z",
+ "shell.execute_reply": "2024-11-29T15:15:50.341186Z"
}
},
"outputs": [
@@ -93,10 +93,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:54.678256Z",
- "iopub.status.busy": "2023-12-01T10:20:54.677696Z",
- "iopub.status.idle": "2023-12-01T10:20:55.203703Z",
- "shell.execute_reply": "2023-12-01T10:20:55.200865Z"
+ "iopub.execute_input": "2024-11-29T15:15:50.345260Z",
+ "iopub.status.busy": "2024-11-29T15:15:50.344941Z",
+ "iopub.status.idle": "2024-11-29T15:15:51.097386Z",
+ "shell.execute_reply": "2024-11-29T15:15:51.096611Z"
}
},
"outputs": [
@@ -127,7 +127,13 @@
"[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 75% | 1s\r",
"[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 83% | 1s\r",
" \r",
- " +> /home/d60881/telemac/builds/S11.gfortran.dyn/bin/partel < partel_geo_gouttedo.slf.par >> partel_geo_gouttedo.slf.log\r\n",
+ " +> /home/d60881/telemac/builds/S11.gfortran.dyn/bin/partel < partel_geo_gouttedo.slf.par >> partel_geo_gouttedo.slf.log\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"STOP 0\r\n",
"\r\n",
"\r\n",
@@ -155,10 +161,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:55.211765Z",
- "iopub.status.busy": "2023-12-01T10:20:55.211540Z",
- "iopub.status.idle": "2023-12-01T10:20:55.729178Z",
- "shell.execute_reply": "2023-12-01T10:20:55.726163Z"
+ "iopub.execute_input": "2024-11-29T15:15:51.100687Z",
+ "iopub.status.busy": "2024-11-29T15:15:51.100383Z",
+ "iopub.status.idle": "2024-11-29T15:15:51.846294Z",
+ "shell.execute_reply": "2024-11-29T15:15:51.845514Z"
}
},
"outputs": [
@@ -189,7 +195,13 @@
"[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 75% | 1s\r",
"[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 83% | 1s\r",
" \r",
- " +> /home/d60881/telemac/builds/S11.gfortran.dyn/bin/partel < partel_geo_gouttedo.slf.par >> partel_geo_gouttedo.slf.log\r\n",
+ " +> /home/d60881/telemac/builds/S11.gfortran.dyn/bin/partel < partel_geo_gouttedo.slf.par >> partel_geo_gouttedo.slf.log\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"STOP 0\r\n",
"\r\n",
"\r\n",
@@ -225,10 +237,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:55.736722Z",
- "iopub.status.busy": "2023-12-01T10:20:55.736530Z",
- "iopub.status.idle": "2023-12-01T10:20:56.238508Z",
- "shell.execute_reply": "2023-12-01T10:20:56.236621Z"
+ "iopub.execute_input": "2024-11-29T15:15:51.849554Z",
+ "iopub.status.busy": "2024-11-29T15:15:51.849241Z",
+ "iopub.status.idle": "2024-11-29T15:15:52.572111Z",
+ "shell.execute_reply": "2024-11-29T15:15:52.571328Z"
}
},
"outputs": [
@@ -281,10 +293,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:56.245697Z",
- "iopub.status.busy": "2023-12-01T10:20:56.245504Z",
- "iopub.status.idle": "2023-12-01T10:20:56.746876Z",
- "shell.execute_reply": "2023-12-01T10:20:56.744544Z"
+ "iopub.execute_input": "2024-11-29T15:15:52.575285Z",
+ "iopub.status.busy": "2024-11-29T15:15:52.574967Z",
+ "iopub.status.idle": "2024-11-29T15:15:53.296001Z",
+ "shell.execute_reply": "2024-11-29T15:15:53.295243Z"
}
},
"outputs": [
diff --git a/notebooks/execution/steering_file.ipynb b/notebooks/execution/steering_file.ipynb
index 089f46b4d3..6e72643e5b 100644
--- a/notebooks/execution/steering_file.ipynb
+++ b/notebooks/execution/steering_file.ipynb
@@ -14,10 +14,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:57.746806Z",
- "iopub.status.busy": "2023-12-01T10:20:57.744481Z",
- "iopub.status.idle": "2023-12-01T10:20:57.777384Z",
- "shell.execute_reply": "2023-12-01T10:20:57.775866Z"
+ "iopub.execute_input": "2024-11-29T15:15:54.622902Z",
+ "iopub.status.busy": "2024-11-29T15:15:54.622627Z",
+ "iopub.status.idle": "2024-11-29T15:15:54.634763Z",
+ "shell.execute_reply": "2024-11-29T15:15:54.634155Z"
},
"scrolled": true
},
@@ -73,10 +73,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:20:57.782223Z",
- "iopub.status.busy": "2023-12-01T10:20:57.781786Z",
- "iopub.status.idle": "2023-12-01T10:21:00.379220Z",
- "shell.execute_reply": "2023-12-01T10:21:00.378624Z"
+ "iopub.execute_input": "2024-11-29T15:15:54.637679Z",
+ "iopub.status.busy": "2024-11-29T15:15:54.637395Z",
+ "iopub.status.idle": "2024-11-29T15:16:00.177774Z",
+ "shell.execute_reply": "2024-11-29T15:16:00.177057Z"
},
"scrolled": true
},
@@ -369,19 +369,6 @@
" NIVEAU = 0\n",
" AIDE = Nom du fichier contenant les types de conditions aux limites. Ce fichier est rempli de facon automatique par le mailleur au moyen de couleurs affectees aux noeuds des frontieres du domaine de calcul.\n",
" AIDE1 = Name of the file containing the types of boundary conditions. This file is filled automatically by the mesh generator through through colours that are assigned to the boundary nodes.\n",
- " ~> Key: VALIDATION\n",
- " fr VALIDATION\n",
- " TYPE = LOGICAL\n",
- " INDEX = 21\n",
- " TAILLE = 1\n",
- " DEFAUT = False\n",
- " DEFAUT1 = False\n",
- " MNEMO = VALID\n",
- " RUBRIQUE = ['ENVIRONNEMENT DE CALCUL', 'INITIALISATION', 'FICHIERS D ENTREE']\n",
- " RUBRIQUE1 = ['COMPUTATION ENVIRONMENT', 'INITIALIZATION', 'INPUT FILES']\n",
- " NIVEAU = 1\n",
- " AIDE = Option utilisee principalement pour le dossier de validation. Le \\telkey{FICHIER DE REFERENCE} est alors considere comme une reference a laquelle on va comparer le calcul. La comparaison est effectuee par le sous-programme \\telfile{BIEF\\_VALIDA} qui peut etre une comparaison avec une solution exacte par exemple.\n",
- " AIDE1 = This option is primarily used for the validation documents. The \\telkey{REFERENCE FILE} is then considered as a reference which the computation is going to be compared with. The comparison is done by the subroutine \\telfile{BIEF\\_VALIDA}, which can be modified so as to include, for example, a comparison with an exact solution.\n",
" ~> Key: REFERENCE FILE FORMAT\n",
" fr FORMAT DU FICHIER DE REFERENCE\n",
" TYPE = STRING\n",
@@ -415,8 +402,8 @@
" RUBRIQUE = ['ENVIRONNEMENT DE CALCUL', 'INITIALISATION', 'FICHIERS D ENTREE']\n",
" RUBRIQUE1 = ['COMPUTATION ENVIRONMENT', 'INITIALIZATION', 'INPUT FILES']\n",
" NIVEAU = 1\n",
- " AIDE = Fichier de resultats de reference pour la validation.\n",
- " AIDE1 = Binary-coded result file for validation.\n",
+ " AIDE = Fichier de resultats de reference pour la validation. Option utilisee principalement pour le dossier de validation. Ce fichier de reference est alors considere comme une reference a laquelle on va comparer le calcul. La comparaison est effectuee par le sous-programme \\telfile{BIEF\\_VALIDA} qui peut etre une comparaison avec une solution exacte par exemple. Si present dans le fichier de parametres, declenche l etape de validation pendant le calcul depuis la version 9.0 sans mot-cle booleen \\telkey{VALIDATION}.\n",
+ " AIDE1 = Binary-coded result file for validation. This option is primarily used for the validation documents. This reference file is then considered as a reference which the computation is going to be compared with. The comparison is done by the subroutine \\telfile{BIEF\\_VALIDA}, which can be modified so as to include, for example, a comparison with an exact solution. If present in the steering file, triggers the validation step during the computation since release 9.0 without boolean keyword \\telkey{VALIDATION}.\n",
" ~> Key: TIME SERIES COORDINATES FILE 1\n",
" fr FICHIER DE COORDONNEES DES SERIES TEMPORELLES 1\n",
" TYPE = STRING\n",
@@ -542,19 +529,6 @@
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
" ~> 1.2-RESTART\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- " ~> Key: COMPUTATION CONTINUED\n",
- " fr SUITE DE CALCUL\n",
- " TYPE = LOGICAL\n",
- " INDEX = 1\n",
- " TAILLE = 1\n",
- " DEFAUT = False\n",
- " DEFAUT1 = False\n",
- " MNEMO = .NOT.DEBU\n",
- " RUBRIQUE = ['ENVIRONNEMENT DE CALCUL', 'REPRISE DE CALCUL', '']\n",
- " RUBRIQUE1 = ['COMPUTATION ENVIRONMENT', 'RESTART', '']\n",
- " NIVEAU = 0\n",
- " AIDE = Determine si le calcul en cours est independant de tout autre resultat ou est une reprise effectuee a partir du resultat d\"un calcul precedent. \\begin{itemize} \\item NON : Il s\"agit du premier passage pour ce calcul et il est necessaire de definir un jeu complet de conditions initiales \\item OUI : Il s\"agit d\"une reprise de calcul : les conditions initiales sont constituees par le dernier pas de temps du \\telkey{FICHIER DU CALCUL PRECEDENT} du fichier des parametres utilise pour soumettre le calcul. \\end{itemize} Par contre, l\"ensemble des donnees du fichier des parametres peuvent etre redefinies, ce qui offre la possibilite de changer par exemple, le pas de temps, le modele de turbulence, le frottement, d\"ajouter ou retirer un traceur\\ldots\\\\ De meme, il est necessaire de definir des conditions aux limites (sous-programme \\telfile{BORD} ou valeurs placees dans le fichier des parametres), qui peuvent egalement etre modifiees.\n",
- " AIDE1 = Determines whether the computation under way is independent result or is following an earlier result. \\begin{itemize} \\item NO: It is the first run for this computation and a whole set of initial conditions should be defined, \\item YES: It follows a former computation: the initial conditions consist in the last time step of the \\telkey{PREVIOUS COMPUTATION FILE} defined in the steering file used for submitting the computation. \\end{itemize} All the data from the steering file may be defined once again, which provides an opportunity to change, for example, the time step, the turbulence model, the friction, to add or remove a tracer\\ldots\\\\ It is also possible to define new boundary conditions (in the subroutine \\telfile{BORD} or values defined in the steering file).\n",
" ~> Key: PREVIOUS COMPUTATION FILE FORMAT\n",
" fr FORMAT DU FICHIER DU CALCUL PRECEDENT\n",
" TYPE = STRING\n",
@@ -588,8 +562,8 @@
" RUBRIQUE = ['ENVIRONNEMENT DE CALCUL', 'REPRISE DE CALCUL', '']\n",
" RUBRIQUE1 = ['COMPUTATION ENVIRONMENT', 'RESTART', '']\n",
" NIVEAU = 0\n",
- " AIDE = Nom d\"un fichier contenant les resultats d\"un calcul precedent realise sur le meme maillage et dont le dernier pas de temps enregistre va fournir les conditions initiales pour une suite de calcul.\n",
- " AIDE1 = Name of a file containing the results of an earlier computation which was made on the same mesh. The last recorded time step will provide the initial conditions for the new computation.\n",
+ " AIDE = Nom d un fichier contenant les resultats d un calcul precedent realise sur le meme maillage et dont un pas de temps enregistre va fournir les conditions initiales pour une suite de calcul. Si present dans le fichier de parametres, une reprise est effectuee a partir du resultat d un calcul precedent defini par ce mot-cle sans le mot cle booleen \\telkey{SUITE DE CALCUL} depuis la version 9.0. Dans ce cas, l ensemble des donnees du fichier des parametres peuvent etre redefinies, ce qui offre la possibilite de changer par exemple, le pas de temps, le modele de turbulence, le frottement, d ajouter ou retirer un traceur\\ldots\\\\ De meme, il est necessaire de definir des conditions aux limites (sous-programme \\telfile{BORD} ou valeurs placees dans le fichier des parametres), qui peuvent egalement etre modifiees.\n",
+ " AIDE1 = Name of a file containing the results of an earlier computation which was made on the same mesh. A recorded time step will provide the initial conditions for the new computation. If present in the steering file, a continuation is done from the result of a previous computation defined by this keyword without boolean keyword \\telkey{COMPUTATION CONTINUED} since release 9.0. In that case, all the data from the steering file may be defined once again, which provides an opportunity to change, for example, the time step, the turbulence model, the friction, to add or remove a tracer\\ldots\\\\ It is also possible to define new boundary conditions (in the subroutine \\telfile{BORD} or values defined in the steering file).\n",
" ~> Key: RECORD NUMBER FOR RESTART\n",
" fr ENREGISTREMENT POUR SUITE DE CALCUL\n",
" TYPE = INTEGER\n",
@@ -602,7 +576,7 @@
" RUBRIQUE1 = ['COMPUTATION ENVIRONMENT', 'RESTART', '']\n",
" NIVEAU = 0\n",
" AIDE = En cas de suite de calcul, numero de l enregistrement de depart dans le fichier du calcul precedent. -1 signifie que l on prend le dernier enregistrement.\n",
- " AIDE1 = In case of \\telkey{COMPUTATION CONTINUED} = YES, record number to start from in the \\telkey{PREVIOUS COMPUTATION FILE}. -1 means the last record is taken.\n",
+ " AIDE1 = In case of continuation of computation, record number to start from in the \\telkey{PREVIOUS COMPUTATION FILE}. -1 means the last record is taken.\n",
" ~> Key: INITIAL TIME SET TO ZERO\n",
" fr REMISE A ZERO DU TEMPS\n",
" TYPE = LOGICAL\n",
@@ -616,19 +590,6 @@
" NIVEAU = 0\n",
" AIDE = Remet le temps a zero en cas de suite de calcul.\n",
" AIDE1 = Initial time set to zero in case of restart.\n",
- " ~> Key: RESTART MODE\n",
- " fr MODE SUITE\n",
- " TYPE = LOGICAL\n",
- " INDEX = 65\n",
- " TAILLE = 1\n",
- " DEFAUT = False\n",
- " DEFAUT1 = False\n",
- " MNEMO = RESTART\\_MODE\n",
- " RUBRIQUE = ['ENVIRONNEMENT DE CALCUL', 'REPRISE DE CALCUL', '']\n",
- " RUBRIQUE1 = ['COMPUTATION ENVIRONMENT', 'RESTART', '']\n",
- " NIVEAU = 1\n",
- " AIDE = Declenche le remplissage du \\telkey{FICHIER POUR SUITE}, qui permet une suite de calcul parfaite, contrairement au \\telkey{FICHIER DES RESULTATS}.\n",
- " AIDE1 = Triggers the filling of the \\telkey{RESTART FILE}, which ensures a perfect restart of a computation, unlike using the \\telkey{RESULTS FILE}.\n",
" ~> Key: RESTART FILE\n",
" fr FICHIER POUR SUITE\n",
" TYPE = STRING\n",
@@ -641,8 +602,8 @@
" RUBRIQUE = ['ENVIRONNEMENT DE CALCUL', 'REPRISE DE CALCUL', '']\n",
" RUBRIQUE1 = ['COMPUTATION ENVIRONMENT', 'RESTART', '']\n",
" NIVEAU = 1\n",
- " AIDE = Nom du fichier dans lequel seront ecrits les resultats du calcul pour obtenir une suite de calcul parfaite. C est donc un fichier de sortie pour le calcul en cours, qui servira de fichier d entree lors de la suite de calcul que l on souhaite parfaite (le mot-cle \\telkey{FICHIER DU CALCUL PRECEDENT} est alors utilise). Le \\telkey{FORMAT DU FICHIER POUR SUITE} et le \\telkey{FORMAT DU FICHIER DU CALCUL PRECEDENT} doivent alors etre mis a \"SERAFIND\" ou \"MED\".\n",
- " AIDE1 = Name of the file into which the computation results shall be written in order to get a perfect continued computation. It is then an output file for the current computation, which will be used as an input file when a continued computation is expected to be perfect (the keyword \\telkey{PREVIOUS COMPUTATION FILE} is then used). The \\telkey{RESTART FILE FORMAT} and the \\telkey{PREVIOUS COMPUTATION FILE FORMAT} have to be set with \"SERAFIND\" or \"MED\".\n",
+ " AIDE = Nom du fichier dans lequel seront ecrits les resultats du calcul pour obtenir une suite de calcul parfaite contrairement au \\telkey{FICHIER DES RESULTATS}. C est donc un fichier de sortie pour le calcul en cours, qui servira de fichier d entree lors de la suite de calcul que l on souhaite parfaite (le mot-cle \\telkey{FICHIER DU CALCUL PRECEDENT} est alors utilise). Le \\telkey{FORMAT DU FICHIER POUR SUITE} et le \\telkey{FORMAT DU FICHIER DU CALCUL PRECEDENT} doivent alors etre mis a \"SERAFIND\" ou \"MED\". Si present dans le fichier de parametres, declenche l ecriture de ce fichier pour suite depuis la version 9.0 sans mot-cle booleen \\telkey{MODE SUITE}.\n",
+ " AIDE1 = Name of the file into which the computation results shall be written in order to get a perfect continued computation unlike using the \\telkey{RESULTS FILE}. It is then an output file for the current computation, which will be used as an input file when a continued computation is expected to be perfect (the keyword \\telkey{PREVIOUS COMPUTATION FILE} is then used). The \\telkey{RESTART FILE FORMAT} and the \\telkey{PREVIOUS COMPUTATION FILE FORMAT} have to be set with \"SERAFIND\" or \"MED\". If present in the steering file, triggers the writing of this restart file since release 9.0 without boolean keyword \\telkey{RESTART MODE}.\n",
" ~> Key: RESTART FILE FORMAT\n",
" fr FORMAT DU FICHIER POUR SUITE\n",
" TYPE = STRING\n",
@@ -701,8 +662,8 @@
" RUBRIQUE = ['ENVIRONNEMENT DE CALCUL', 'REPRISE DE CALCUL', '']\n",
" RUBRIQUE1 = ['COMPUTATION ENVIRONMENT', 'RESTART', '']\n",
" NIVEAU = 2\n",
- " AIDE = Si OUI, calcule les valeurs maximum pour les variables MAXZ, TMXZ, MAXV, TMXV a partir du \\telkey{FICHIER DU CALCUL PRECEDENT} et du calcul en cours. Si NON, les variables sont seulement calculees a partir du calcul en cours.\n",
- " AIDE1 = If YES, computes maximum values for variables MAXZ, TMXZ, MAXV, TMXV from \\telkey{PREVIOUS COMPUTATION FILE} and current computation. If NO, the variables are only computed from current computation.\n",
+ " AIDE = Si OUI, calcule les valeurs maximum pour les variables MAXZ, TMXZ, MAXV, TMXV, MAXH, MAXQ, TMXQ a partir du \\telkey{FICHIER DU CALCUL PRECEDENT} et du calcul en cours. Si NON, les variables sont seulement calculees a partir du calcul en cours.\n",
+ " AIDE1 = If YES, computes maximum values for variables MAXZ, TMXZ, MAXV, TMXV, MAXH, MAXQ, TMXQ from \\telkey{PREVIOUS COMPUTATION FILE} and current computation. If NO, the variables are only computed from current computation.\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
" ~> 1.3-OUTPUT FILES\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
@@ -753,8 +714,8 @@
" - F : nombre de Froude\n",
" - Q : debit scalaire du fluide (m2/s)\n",
" - Ti : traceur i etc.\n",
- " - T* : Tous les traceurs de 1 a 9.\n",
- " - T1* : Tous les traceurs 10 a 19.\n",
+ " - T* : tous les traceurs.\n",
+ " - T1* : tous les traceurs 10 a 19.\n",
" - K : energie turbulente du modele k-epsilon (J/kg)\n",
" - E : dissipation de l energie turbulente (W/kg)\n",
" - D : viscosite turbulente (m2/s)\n",
@@ -776,6 +737,9 @@
" - TMXZ : temps de la cote maximum (s)\n",
" - MAXV : vitesse maximum (m/s)\n",
" - TMXV : temps de la vitesse maximum (s)\n",
+ " - MAXH : hauteur d eau maximum (m)\n",
+ " - MAXQ : debit maximum (m2/s)\n",
+ " - TMXQ : temps du debit maximum (s)\n",
" - US : vitesse de frottement (m/s)\n",
" - G1 : gradient 1, etc.\n",
" - TAU_S : contrainte dans le sens du courant (N/m2)\n",
@@ -795,8 +759,8 @@
" - F : Froude number\n",
" - Q : scalar flowrate of fluid (m2/s)\n",
" - Ti : tracer i etc.\n",
- " - T* : All the tracers 1 to 9.\n",
- " - T1* : All the tracers 10 to 19.\n",
+ " - T* : all the tracers.\n",
+ " - T1* : all the tracers 10 to 19.\n",
" - K : turbulent kinetic energy in k-epsilon model (J/kg)\n",
" - E : dissipation of turbulent energy (W/kg)\n",
" - D : turbulent viscosity (m2/s)\n",
@@ -818,6 +782,9 @@
" - TMXZ : time of maximum elevation (s)\n",
" - MAXV : maximum velocity (m/s)\n",
" - TMXV : time of maximum velocity (s)\n",
+ " - MAXH : maximum water depth (m)\n",
+ " - MAXQ : maximum flowrate (m/s)\n",
+ " - TMXQ : time of maximum flowrate (s)\n",
" - US : friction velocity (m/s)\n",
" - G1 : gradient 1, etc.\n",
" - TAU_S : streamwise stress (N/m2)\n",
@@ -832,8 +799,8 @@
" RUBRIQUE1 = ['COMPUTATION ENVIRONMENT', 'OUTPUT FILES', 'RESULTS FILES']\n",
" COMPOSE = ,\n",
" NIVEAU = 0\n",
- " AIDE = Noms des variables ecrites dans FICHIER DES RESULTATS. Chaque variable est representee par une lettre (choix des separateurs libre). Les possibilites sont : \\begin{itemize} \\item U : vitesse suivant $x$ (m/s) ; \\item V : vitesse suivant $y$ (m/s) ; \\item C : celerite des ondes (m/s) ; \\item H : hauteur d eau (m) ; \\item S : cote de surface libre (m) ; \\item B : cote du fond (m) ; \\item F : nombre de Froude ; \\item Q : debit scalaire du fluide (m$^2$/s) ; \\item Tn: traceur, avec n le numero du traceur ; \\item K : energie turbulente du modele $k-\\epsilon$ (J/kg) ; \\item E : dissipation de l energie turbulente (W/kg) ; \\item D : viscosite turbulente (m$^2$/s) ; \\item I : debit suivant $x$ (m$^2$/s) ; \\item J : debit suivant $y$ (m$^2$/s) ; \\item M : vitesse scalaire (m/s) ; \\item X : vent suivant $x$ (m/s) ; \\item Y : vent suivant $y$ (m/s) ; \\item P : pression atmospherique (Pa) ; \\item W : coefficient de frottement sur le fond ; \\item A : derive en $x$ (m) ; \\item G : derive en $y$ (m) ; \\item L : nombre de Courant ; \\item MAXZ : cote maximum (m) ; \\item TMXZ : temps de la cote maximum (s) ; \\item MAXV : vitesse maximum (m/s) ; \\item TMXV : temps de la vitesse maximum (s) ; \\item US : vitesse de frottement (m/s) ; \\item Gn: gradient differencie, avec n le numero de reference du gradient ; \\item TAU\\_S : contrainte dans le sens du courant (N/m$^2$) ; \\item 1/R : inverse du rayon de courbure local (1/m) ; \\item OMEGA : vorticite (1/s) ; \\item WDIST : distance au mur le plus proche (m) ; \\item ZRL : niveau de reference pour Nestor (m) ; \\item CSO2 : concentration de saturation en oxygene (mgO2/l) ; \\item O2SAT : pourcentage de saturation en oxygene (\\%). \\end{itemize} 4 champs libres sont utilisables pour ecrire des variables creees dans le fichier des resultats. Ces variables doivent etre calculees dans le PRERES\\_TELEMAC2D et leur nom ecrit dans NOMVAR\\_TELEMAC2D. Ces 7 champs sont : N, O, R, Z qui correspondent aux tableaux PRIVE(1,1) a PRIVE(1,4). Contrairement aux variables precedentes, celles-ci sont conservees dans tout le programme et peuvent donc etre reutilisees. Dans ce dernier cas ne pas oublier de donner une taille suffisante au tableau PRIVE. Il est ainsi possible de limiter la taille des fichiers de resultats pour de gros calculs. Cependant, en cas de reprise de calcul, le code doit disposer dans le fichier des resultats des informations necessaires a sa poursuite : \\begin{itemize} \\item vitesses U et V ; \\item hauteur d eau H ; \\item cote du fond B. \\end{itemize} Toutefois, TELEMAC-2D peut recalculer certaines des variables a partir d autres.\n",
- " AIDE1 = Names of variables which will be written in the results file. Each variable is represented by a letter (free separators). The possible choices are: \\begin{itemize} \\item U: velocity along $x$ axis (m/s), \\item V: velocity along $y$ axis (m/s), \\item C: wave celerity (m/s), \\item H: water depth (m), \\item S: free surface elevation (m), \\item B: bottom elevation (m), \\item F: Froude number, \\item Q: scalar flowrate of fluid (m$^2$/s), \\item Tn: tracer, with n the tracer number, \\item K: turbulent kinetic energy in $k-\\epsilon$ model (J/kg), \\item E: dissipation of turbulent energy (W/kg), \\item D: turbulent viscosity (m$^2$/s), \\item I: flowrate along $x$ axis (m$^2$/s), \\item J: flowrate along $y$ axis (m$^2$/s), \\item M: scalar velocity (m/s), \\item X: wind along $x$ axis (m/s), \\item Y: wind along $y$ axis (m/s), \\item P: air pressure (Pa), \\item W: friction coefficient, \\item A: drift along $x$ (m), \\item G: drift along $y$ (m), \\item L: Courant number, \\item MAXZ: maximum elevation (m), \\item TMXZ: time of maximum elevation (s), \\item MAXV: maximum velocity (m/s), \\item TMXV: time of maximum velocity (s), \\item US: friction velocity (m/s), \\item Gn: differentiated gradient, with n the gradient reference number, \\item TAU\\_S: streamwise stress (N/m$^2$), \\item 1/R: reverse of local radius of curvature (1/m), \\item OMEGA: vorticity (1/s), \\item WDIST: distance to the closest wall (m), \\item ZRL: reference level for Nestor (m), \\item CSO2: oxygen saturation concentration (mgO2/l), \\item O2SAT: percentage of oxygen saturation (\\%). \\end{itemize} 4 other variables are also available to the user to write created variables results. These user variables should be computed in \\telfile{PRERES\\_TELEMAC2D} subroutine and their name should be written in \\telfile{NOMVAR\\_TELEMAC2D} subroutine. These seven variables are as follows: N, O, R, Z which correspond to arrays \\telfile{PRIVE(1,1)} up to \\telfile{PRIVE(1,4)}. Unlike the previous variables, they are kept throughout the program, so that they can be used again. In the latter case, do not forget to provide the array \\telkey{PRIVE} with sufficiently large dimensions in the FORTRAN FILE. The size of the \\telkey{RESULTS FILE} can be limited with this keyword. However, if a computation must be continued, the \\telkey{RESULTS FILE} should contain the appropriate information for running the code,i.e.: \\begin{itemize} \\item velocities $U$ and $V$, \\item water depth $H$, \\item bottom elevation $B$. \\end{itemize} \\telemac{2d} can compute some of these variables from others.\n",
+ " AIDE = Noms des variables ecrites dans FICHIER DES RESULTATS. Chaque variable est representee par une lettre (choix des separateurs libre). Les possibilites sont : \\begin{itemize} \\item U : vitesse suivant $x$ (m/s) ; \\item V : vitesse suivant $y$ (m/s) ; \\item C : celerite des ondes (m/s) ; \\item H : hauteur d eau (m) ; \\item S : cote de surface libre (m) ; \\item B : cote du fond (m) ; \\item F : nombre de Froude ; \\item Q : debit scalaire du fluide (m$^2$/s) ; \\item Ti: traceur $i$, avec $i$ le numero du traceur ; \\item T*: tous les traceurs ; \\item T1*: traceurs de 10 a 19 ; \\item K : energie turbulente du modele $k-\\epsilon$ (J/kg) ; \\item E : dissipation de l energie turbulente (W/kg) ; \\item D : viscosite turbulente (m$^2$/s) ; \\item I : debit suivant $x$ (m$^2$/s) ; \\item J : debit suivant $y$ (m$^2$/s) ; \\item M : vitesse scalaire (m/s) ; \\item X : vent suivant $x$ (m/s) ; \\item Y : vent suivant $y$ (m/s) ; \\item P : pression atmospherique (Pa) ; \\item W : coefficient de frottement sur le fond ; \\item A : derive en $x$ (m) ; \\item G : derive en $y$ (m) ; \\item L : nombre de Courant ; \\item MAXZ : cote maximum (m) ; \\item TMXZ : temps de la cote maximum (s) ; \\item MAXV : vitesse maximum (m/s) ; \\item TMXV : temps de la vitesse maximum (s) ; \\item MAXH : hauteur d eau maximum (m) ; \\item MAXQ : debit maximum (m$^2$/s) ; \\item TMXQ : temps du debit maximum (s) ; \\item US : vitesse de frottement (m/s) ; \\item Gn: gradient differencie, avec n le numero de reference du gradient ; \\item TAU\\_S : contrainte dans le sens du courant (N/m$^2$) ; \\item 1/R : inverse du rayon de courbure local (1/m) ; \\item OMEGA : vorticite (1/s) ; \\item WDIST : distance au mur le plus proche (m) ; \\item ZRL : niveau de reference pour Nestor (m) ; \\item CSO2 : concentration de saturation en oxygene (mgO2/l) ; \\item O2SAT : pourcentage de saturation en oxygene (\\%). \\end{itemize} 4 champs libres sont utilisables pour ecrire des variables creees dans le fichier des resultats. Ces variables doivent etre calculees dans le PRERES\\_TELEMAC2D et leur nom ecrit dans NOMVAR\\_TELEMAC2D. Ces 7 champs sont : N, O, R, Z qui correspondent aux tableaux PRIVE(1,1) a PRIVE(1,4). Contrairement aux variables precedentes, celles-ci sont conservees dans tout le programme et peuvent donc etre reutilisees. Dans ce dernier cas ne pas oublier de donner une taille suffisante au tableau PRIVE. Il est ainsi possible de limiter la taille des fichiers de resultats pour de gros calculs. Cependant, en cas de reprise de calcul, le code doit disposer dans le fichier des resultats des informations necessaires a sa poursuite : \\begin{itemize} \\item vitesses U et V ; \\item hauteur d eau H ; \\item cote du fond B. \\end{itemize} Toutefois, TELEMAC-2D peut recalculer certaines des variables a partir d autres.\n",
+ " AIDE1 = Names of variables which will be written in the results file. Each variable is represented by a letter (free separators). The possible choices are: \\begin{itemize} \\item U: velocity along $x$ axis (m/s), \\item V: velocity along $y$ axis (m/s), \\item C: wave celerity (m/s), \\item H: water depth (m), \\item S: free surface elevation (m), \\item B: bottom elevation (m), \\item F: Froude number, \\item Q: scalar flowrate of fluid (m$^2$/s), \\item Ti: tracer $i$, with $i$ the tracer number, \\item T*: every tracer, \\item T1*: tracers from 10 to 19, \\item K: turbulent kinetic energy in $k-\\epsilon$ model (J/kg), \\item E: dissipation of turbulent energy (W/kg), \\item D: turbulent viscosity (m$^2$/s), \\item I: flowrate along $x$ axis (m$^2$/s), \\item J: flowrate along $y$ axis (m$^2$/s), \\item M: scalar velocity (m/s), \\item X: wind along $x$ axis (m/s), \\item Y: wind along $y$ axis (m/s), \\item P: air pressure (Pa), \\item W: friction coefficient, \\item A: drift along $x$ (m), \\item G: drift along $y$ (m), \\item L: Courant number, \\item MAXZ: maximum elevation (m), \\item TMXZ: time of maximum elevation (s), \\item MAXV: maximum velocity (m/s), \\item TMXV: time of maximum velocity (s), \\item MAXH: maximum water depth (m), \\item MAXQ: maximum flowrate (m/s), \\item TMXQ: time of maximum flowrate (s), \\item US: friction velocity (m/s), \\item Gn: differentiated gradient, with n the gradient reference number, \\item TAU\\_S: streamwise stress (N/m$^2$), \\item 1/R: reverse of local radius of curvature (1/m), \\item OMEGA: vorticity (1/s), \\item WDIST: distance to the closest wall (m), \\item ZRL: reference level for Nestor (m), \\item CSO2: oxygen saturation concentration (mgO2/l), \\item O2SAT: percentage of oxygen saturation (\\%). \\end{itemize} 4 other variables are also available to the user to write created variables results. These user variables should be computed in \\telfile{PRERES\\_TELEMAC2D} subroutine and their name should be written in \\telfile{NOMVAR\\_TELEMAC2D} subroutine. These seven variables are as follows: N, O, R, Z which correspond to arrays \\telfile{PRIVE(1,1)} up to \\telfile{PRIVE(1,4)}. Unlike the previous variables, they are kept throughout the program, so that they can be used again. In the latter case, do not forget to provide the array \\telkey{PRIVE} with sufficiently large dimensions in the FORTRAN FILE. The size of the \\telkey{RESULTS FILE} can be limited with this keyword. However, if a computation must be continued, the \\telkey{RESULTS FILE} should contain the appropriate information for running the code,i.e.: \\begin{itemize} \\item velocities $U$ and $V$, \\item water depth $H$, \\item bottom elevation $B$. \\end{itemize} \\telemac{2d} can compute some of these variables from others.\n",
" ~> Key: NUMBER OF PRIVATE ARRAYS\n",
" fr NOMBRE DE TABLEAUX PRIVES\n",
" TYPE = INTEGER\n",
@@ -1181,19 +1148,6 @@
" NIVEAU = 1\n",
" AIDE = Fichier de sortie des sections de controle, ecrit par le maitre.\n",
" AIDE1 = Sections output file, written by the master.\n",
- " ~> Key: FLUXLINE\n",
- " fr FLUXLINE\n",
- " TYPE = LOGICAL\n",
- " INDEX = 52\n",
- " TAILLE = 1\n",
- " DEFAUT = False\n",
- " DEFAUT1 = False\n",
- " MNEMO = DOFLUX\n",
- " RUBRIQUE = ['ENVIRONNEMENT DE CALCUL', 'FICHIERS DE SORTIE', 'SECTION DE CONTROLE']\n",
- " RUBRIQUE1 = ['COMPUTATION ENVIRONMENT', 'OUTPUT FILES', 'CONTROL SECTION']\n",
- " NIVEAU = 1\n",
- " AIDE = Utiliser fluxline pour le calcul des flux sur les lignes.\n",
- " AIDE1 = Use Fluxline to compute flux over lines.\n",
" ~> Key: FLUXLINE INPUT FILE\n",
" fr FICHIER DE FLUXLINE\n",
" TYPE = STRING\n",
@@ -1206,8 +1160,8 @@
" RUBRIQUE = ['ENVIRONNEMENT DE CALCUL', 'FICHIERS DE SORTIE', 'SECTION DE CONTROLE']\n",
" RUBRIQUE1 = ['COMPUTATION ENVIRONMENT', 'OUTPUT FILES', 'CONTROL SECTION']\n",
" NIVEAU = 1\n",
- " AIDE = Nom du fichier de fluxline, avec des donnees sur les sections.\n",
- " AIDE1 = Name of the fluxline file, with data on cross-sections.\n",
+ " AIDE = Nom du fichier de fluxline, avec des donnees sur les sections. Si present dans le fichier de parametres, la fonctionnalite FLUXLINE est utilisee pour le calcul des flux sur les lignes sans le mot cle booleen \\telkey{FLUXLINE} depuis la version 9.0.\n",
+ " AIDE1 = Name of the fluxline file, with data on cross-sections. If present in the steering file, the feature FLUXLINE is used to compute flux over lines without boolean keyword \\telkey{FLUXLINE} since release 9.0.\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
" ~> 1.3.3-LISTING\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
@@ -1302,6 +1256,9 @@
" - TMXZ : temps de la cote maximum (s)\n",
" - MAXV : vitesse maximum (m/s)\n",
" - TMXV : temps de la vitesse maximum (s)\n",
+ " - MAXH : hauteur d eau maximum (m)\n",
+ " - MAXQ : debit maximum (m2/s)\n",
+ " - TMXQ : temps du debit maximum (s)\n",
" - US : vitesse de frottement (m/s)\n",
" - G1 : gradient 1, etc.\n",
" - TAU_S : contrainte dans le sens du courant (N/m2)\n",
@@ -1342,6 +1299,9 @@
" - TMXZ : time of maximum elevation (s)\n",
" - MAXV : maximum velocity (m/s)\n",
" - TMXV : time of maximum velocity (s)\n",
+ " - MAXH : maximum water depth (m)\n",
+ " - MAXQ : maximum flowrate (m2/s)\n",
+ " - TMXQ : time of maximum flowrate (s)\n",
" - US : friction velocity (m/s)\n",
" - G1 : gradient 1, etc.\n",
" - TAU_S : streamwise stress (N/m2)\n",
@@ -1616,7 +1576,7 @@
" RUBRIQUE1 = ['HYDRO', 'BOUNDARY CONDITIONS OTHERS', '']\n",
" NIVEAU = 1\n",
" AIDE = On donne un entier par frontiere liquide. Les choix possibles sont : \\begin{itemize} \\item 0 : Pas une frontiere douce ; \\item 1 : Methode 1. Proportionnel a la vitesse ; \\item 2 : Methode 2. Proportionnel au carre de la vitesse. \\end{itemize}\n",
- " AIDE1 = One integer per liquid boundary is given. Possible choices are: \\begin{itemize} \\item 0: Not a soft boundary , \\item 1: Method 1. Proportional to the speed, \\item 2: Method 2. Proportional to the square of speed. \\end{itemize}\n",
+ " AIDE1 = One integer per liquid boundary is given. Possible choices are: \\begin{itemize} \\item 0: Not a soft boundary, \\item 1: Method 1. Proportional to the speed, \\item 2: Method 2. Proportional to the square of speed. \\end{itemize}\n",
" ~> Key: COEFFICIENT FOR SOFT BOUNDARIES\n",
" fr COEFFICIENT POUR LES FRONTIERES DOUCES\n",
" TYPE = REAL\n",
@@ -2331,6 +2291,25 @@
" NIVEAU = 0\n",
" AIDE = Donne la valeur de la pression de vapeur saturante lorsqu elle est constante en temps et en espace. En Pa.\n",
" AIDE1 = Gives the value of vaporous pressure when it is constant in time and space. In Pa.\n",
+ " ~> Key: PRESSURE UNIT\n",
+ " fr UNITE DE PRESSION\n",
+ " TYPE = INTEGER\n",
+ " INDEX = 61\n",
+ " TAILLE = 1\n",
+ " DEFAUT = 1\n",
+ " DEFAUT1 = 1\n",
+ " MNEMO = PRESSURE\\_UNIT\n",
+ " CHOIX = \n",
+ " - 1 : Pa (SI)\n",
+ " - 2 : hPa\n",
+ " CHOIX1 = \n",
+ " - 1 : Pa (SI)\n",
+ " - 2 : hPa\n",
+ " RUBRIQUE = ['HYDRO', 'PARAMETRES PHYSIQUES HYDRO', 'METEOROLOGIE']\n",
+ " RUBRIQUE1 = ['HYDRO', 'PHYSICAL PARAMETERS HYDRO', 'METEOROLOGY']\n",
+ " NIVEAU = 0\n",
+ " AIDE = Donne l unite de la pression (atmospherique ou vapeur saturante). Choix possibles : \\begin{itemize} \\item Pa (SI) ; \\item hPa. \\end{itemize}\n",
+ " AIDE1 = Gives the unit of pressure (atmospheric or vaporous). Possible choices: \\begin{itemize} \\item Pa (SI), \\item hPa. \\end{itemize}\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
" ~> 2.3.4-WAVE\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
@@ -2414,8 +2393,8 @@
" RUBRIQUE = ['HYDRO', 'PARAMETRES PHYSIQUES HYDRO', 'ESTIMATION']\n",
" RUBRIQUE1 = ['HYDRO', 'PHYSICAL PARAMETERS HYDRO', 'ESTIMATION']\n",
" NIVEAU = 1\n",
- " AIDE = Choix possibles : \\begin{itemize} \\item calculee sur $h$, $u$, $v$ ; \\item calculee avec $c$, $u$ , $v$. \\end{itemize}\n",
- " AIDE1 = Possible choices: \\begin{itemize} \\item computed with $h$, $u$, $v$, \\item computed with $c$, $u$, $v$. \\end{itemize}\n",
+ " AIDE = Choix possibles : \\begin{itemize} \\item 1 : calculee sur $h$, $u$, $v$ ; \\item 2 : calculee avec $c$, $u$ , $v$. \\end{itemize}\n",
+ " AIDE1 = Possible choices: \\begin{itemize} \\item 1: computed with $h$, $u$, $v$, \\item 2: computed with $c$, $u$, $v$. \\end{itemize}\n",
" ~> Key: IDENTIFICATION METHOD\n",
" fr METHODE D'IDENTIFICATION\n",
" TYPE = INTEGER\n",
@@ -2680,8 +2659,8 @@
" RUBRIQUE = ['HYDRO', 'PARAMETRES NUMERIQUES HYDRO', '']\n",
" RUBRIQUE1 = ['HYDRO', 'NUMERICAL PARAMETERS HYDRO', '']\n",
" NIVEAU = 0\n",
- " AIDE = Choix des equations a resoudre : \\begin{itemize} \\item Saint-Venant Elements Finis ; \\item Saint-Venant Volumes Finis ; \\item Boussinesq 20 caracteres. \\end{itemize}\n",
- " AIDE1 = Choice of equations to solve: \\begin{itemize} \\item Shallow Water Finite Elements, \\item Shallow Water Finite Volumes, \\item Boussinesq 20 Characters. \\end{itemize}\n",
+ " AIDE = Choix des equations a resoudre : \\begin{itemize} \\item SAINT-VENANT EF : Saint-Venant Elements Finis ; \\item SAINT-VENANT VF : Saint-Venant Volumes Finis ; \\item BOUSSINESQ : Boussinesq 20 caracteres. \\end{itemize}\n",
+ " AIDE1 = Choice of equations to solve: \\begin{itemize} \\item SAINT-VENANT FE: Shallow Water Finite Elements, \\item SAINT-VENANT FV: Shallow Water Finite Volumes, \\item BOUSSINESQ: Boussinesq 20 Characters. \\end{itemize}\n",
" ~> Key: TREATMENT OF THE LINEAR SYSTEM\n",
" fr TRAITEMENT DU SYSTEME LINEAIRE\n",
" TYPE = INTEGER\n",
@@ -3046,14 +3025,14 @@
" TYPE = REAL\n",
" INDEX = 28\n",
" TAILLE = 1\n",
- " DEFAUT = 48.0\n",
- " DEFAUT1 = 48.0\n",
+ " DEFAUT = 0.0\n",
+ " DEFAUT1 = 0.0\n",
" MNEMO = LAMBD0\n",
" RUBRIQUE = ['PARAMETRES GENERAUX', 'LOCALISATION', '']\n",
" RUBRIQUE1 = ['GENERAL PARAMETERS', 'LOCATION', '']\n",
" NIVEAU = 0\n",
- " AIDE = Determine l\"origine utilisee pour le calcul de latitudes lorsque l\"on effectue un calcul en coordonnees spheriques. Egalement utilise pour les echanges thermiques avec l atmosphere, le modele d Okada pour les tsunamis, le frazil.\n",
- " AIDE1 = Determines the origin used for computing latitudes when a computation is made in spherical coordinates. This latitude is in particular used to compute the Coriolis force. In cartesian coordinates, Coriolis coefficient is considered constant. Also used for heat exchange with atmosphere, Okada model for tsunamis, frazil.\n",
+ " AIDE = Determine l\"origine utilisee pour le calcul de latitudes lorsque l\"on effectue un calcul en coordonnees spheriques. Egalement utilise pour les echanges thermiques avec l atmosphere, le modele d Okada pour les tsunamis, le frazil. Ancienne valeur par defaut = 48. jusqu en version 8.5.\n",
+ " AIDE1 = Determines the origin used for computing latitudes when a computation is made in spherical coordinates. This latitude is in particular used to compute the Coriolis force. In cartesian coordinates, Coriolis coefficient is considered constant. Also used for heat exchange with atmosphere, Okada model for tsunamis, frazil. Old default value = 48. until release 8.5.\n",
" ~> Key: LONGITUDE OF ORIGIN POINT\n",
" fr LONGITUDE DU POINT ORIGINE\n",
" TYPE = REAL\n",
@@ -3435,8 +3414,8 @@
" TYPE = INTEGER\n",
" INDEX = 5\n",
" TAILLE = 4\n",
- " DEFAUT = [1, 5, 1, 1]\n",
- " DEFAUT1 = [1, 5, 1, 1]\n",
+ " DEFAUT = [1, 5, 13, 1]\n",
+ " DEFAUT1 = [1, 5, 13, 1]\n",
" MNEMO = ICONVF\n",
" CHOIX = \n",
" - 1 : CARACTERISTIQUES\n",
@@ -3460,8 +3439,8 @@
" RUBRIQUE = ['PARAMETRES NUMERIQUES', 'INFO CONVECTION', '']\n",
" RUBRIQUE1 = ['NUMERICAL PARAMETERS', 'ADVECTION INFO', '']\n",
" NIVEAU = 1\n",
- " AIDE = Choix du schema de convection pour chaque variable. Ces coefficients sont respectivement appliques a\\\\ \\begin{itemize} \\item 1) $U$ et $V$ ; \\item 2) $H$ ; \\item 3) $T$ ; \\item 4) $k$ et $\\epsilon$. \\end{itemize} Les choix possibles sont : \\begin{itemize} \\item 1 : caracteristiques sur $h$ ; \\item 2 : SUPG ; \\item 3 : Schema N conservatif ; \\item 4 : Schema N conservatif ; \\item 5 : Schema PSI conservatif ; \\item 13 : Schema N par segment ; \\item 14 : Schema N par segment ; \\item 15 : Schema ERIA. \\end{itemize} Le 2e entier doit etre 5.\n",
- " AIDE1 = Choice of advection schemes for every variable. These coefficients are applied respectively to \\begin{itemize} \\item 1) $U$ and $V$, \\item 2) $H$, \\item 3) $T$, \\item 4) $k$ and $\\epsilon$. \\end{itemize} Possible choices are: \\begin{itemize} \\item 1: characteristics, \\item 2: SUPG, \\item 3: Conservative N-scheme, \\item 4: Conservative N-scheme, \\item 5: Conservative PSI-scheme, \\item 13: Edge-based N-scheme, \\item 14: Edge-based N-scheme, \\item 15: ERIA scheme. \\end{itemize} The second integer must be 5.\n",
+ " AIDE = Choix du schema de convection pour chaque variable. Ces coefficients sont respectivement appliques a\\\\ \\begin{itemize} \\item 1) $U$ et $V$ ; \\item 2) $H$ ; \\item 3) $T$ ; \\item 4) $k$ et $\\epsilon$. \\end{itemize} Les choix possibles sont : \\begin{itemize} \\item 1 : caracteristiques sur $h$ ; \\item 2 : SUPG ; \\item 3 : Schema N conservatif ; \\item 4 : Schema N conservatif ; \\item 5 : Schema PSI conservatif ; \\item 13 : Schema N par segment ; \\item 14 : Schema N par segment ; \\item 15 : Schema ERIA. \\end{itemize} Le 2e entier doit etre 5. Ancienne valeur par defaut du 3e entier pour les traceurs = 1, i.e. caracteristiques, jusqu en V8P5.\n",
+ " AIDE1 = Choice of advection schemes for every variable. These coefficients are applied respectively to \\begin{itemize} \\item 1) $U$ and $V$, \\item 2) $H$, \\item 3) $T$, \\item 4) $k$ and $\\epsilon$. \\end{itemize} Possible choices are: \\begin{itemize} \\item 1: characteristics, \\item 2: SUPG, \\item 3: Conservative N-scheme, \\item 4: Conservative N-scheme, \\item 5: Conservative PSI-scheme, \\item 13: Edge-based N-scheme, \\item 14: Edge-based N-scheme, \\item 15: ERIA scheme. \\end{itemize} The second integer must be 5. Old default value of 3rd integer for tracers = 1, i.e. characteristics, until V8P5.\n",
" ~> Key: OPTION FOR CHARACTERISTICS\n",
" fr OPTION POUR LES CARACTERISTIQUES\n",
" TYPE = INTEGER\n",
@@ -3650,8 +3629,8 @@
" RUBRIQUE = ['PARAMETRES NUMERIQUES', 'INFO CONVECTION', '']\n",
" RUBRIQUE1 = ['NUMERICAL PARAMETERS', 'ADVECTION INFO', '']\n",
" NIVEAU = 0\n",
- " AIDE = Utilise pour les schemas SUPG, PSI et N, avec option 2, on ne retrouve pas exactement les valeurs imposees des traceurs, mais le flux est correct. Une seule meme valeur pour toutes les frontieres liquides.\n",
- " AIDE1 = Used so far only with the SUPG, PSI and N schemes. With option 2, Dirichlet prescribed values are not obeyed, but the fluxes are correct. One single and same value for every liquid boundary.\n",
+ " AIDE = Choix possibles: \\begin{itemize} \\item 1 : Priorite aux valeurs imposees ; \\item 2 : Priorite aux flux. \\end{itemize} Utilise uniquement pour les schemas d advection de type distributif et seulement pour les variables traceurs (ex : Leo Postma, N, PSI, NERD 13 et 14, ERIA et variantes Predicteur-Correcteur et LIPS). Avec option 2, on ne retrouve pas exactement les valeurs imposees des traceurs, mais le flux est correct. Une seule meme valeur pour toutes les frontieres liquides.\n",
+ " AIDE1 = Possible choices: \\begin{itemize} \\item 1: Priority to prescribed values, \\item 2: Priority to fluxes. \\end{itemize} Used so far only with distributive type advection schemes and only for tracers variables (e.g.: Leo Postma, N, PSI, NERD 13 and 14, ERIA and variants Predictor-Corrector and LIPS). With option 2, Dirichlet prescribed values of tracers are not obeyed, but the fluxes are correct. One single and same value for every liquid boundary.\n",
" ~> Key: NUMBER OF CORRECTIONS OF DISTRIBUTIVE SCHEMES\n",
" fr NOMBRE DE CORRECTIONS DES SCHEMAS DISTRIBUTIFS\n",
" TYPE = INTEGER\n",
@@ -3746,7 +3725,7 @@
" RUBRIQUE1 = ['NUMERICAL PARAMETERS', 'DIFFUSION', '']\n",
" NIVEAU = 0\n",
" AIDE = Choix du modele de diffusion pour les volumes finis : \\begin{itemize} \\item 1 : elements finis P1 explicites ; \\item 2 : flux a deux points ; \\item 3 : flux a deux points reconstruit. \\end{itemize}\n",
- " AIDE1 = Choice of the finite volume diffusion model: \\begin{itemize} \\item 1: explicit P1 finite element ; \\item 2: two points flux ; \\item 3: reconstructed two points flux. \\end{itemize}\n",
+ " AIDE1 = Choice of the finite volume diffusion model: \\begin{itemize} \\item 1: explicit P1 finite element, \\item 2: two points flux, \\item 3: reconstructed two points flux. \\end{itemize}\n",
" ~> Key: FINITE VOLUME SCHEME FOR TRACER DIFFUSION\n",
" fr SCHEMA VOLUMES FINIS POUR LA DIFFUSION DES TRACEURS\n",
" TYPE = INTEGER\n",
@@ -3768,7 +3747,7 @@
" RUBRIQUE1 = ['NUMERICAL PARAMETERS', 'DIFFUSION', '']\n",
" NIVEAU = 0\n",
" AIDE = Choix du modele de diffusion pour les volumes finis : \\begin{itemize} \\item 1 : elements finis P1 explicites ; \\item 2 : flux a deux points ; \\item 3 : flux a deux points reconstruit. \\end{itemize}\n",
- " AIDE1 = Choice of the finite volume diffusion model: \\begin{itemize} \\item 1: explicit P1 finite element ; \\item 2: two points flux ; \\item 3: reconstructed two points flux. \\end{itemize}\n",
+ " AIDE1 = Choice of the finite volume diffusion model: \\begin{itemize} \\item 1: explicit P1 finite element, \\item 2: two points flux, \\item 3: reconstructed two points flux. \\end{itemize}\n",
" ~> Key: OPTION FOR THE RTPF SCHEME RECONSTRUCTIONS\n",
" fr OPTION POUR LA RECONSTRUCTION DU SCHEMA RTPF\n",
" TYPE = INTEGER\n",
@@ -3906,8 +3885,8 @@
" RUBRIQUE = ['PARAMETRES NUMERIQUES', 'AVANCEE', '']\n",
" RUBRIQUE1 = ['NUMERICAL PARAMETERS', 'ADVANCED', '']\n",
" NIVEAU = 0\n",
- " AIDE = Choix possibles : \\begin{itemize} \\item 1 : classique ; \\item 2 : frontal. Attention, avec 2, il faut une numerotation speciale des points. \\end{itemize}\n",
- " AIDE1 = Possible choices are: \\begin{itemize} \\item 1: classic, \\item 2: frontal. Beware, with option 2, a special numbering of points is required. \\end{itemize}\n",
+ " AIDE = Choix possibles : \\begin{itemize} \\item 1 : classique ; \\item 2 : frontal. Ne fonctionne pas en parallele, ni pour des elements quasi-bulle. Attention, avec 2, il faut une numerotation speciale des points. \\end{itemize}\n",
+ " AIDE1 = Possible choices are: \\begin{itemize} \\item 1: classic, \\item 2: frontal. It does not work in parallel mode, neither does it with quasi-bubble elements. Beware, with option 2, a special numbering of points is required. \\end{itemize}\n",
" ~> Key: NEWMARK TIME INTEGRATION COEFFICIENT\n",
" fr COEFFICIENT D'INTEGRATION EN TEMPS DE NEWMARK\n",
" TYPE = REAL\n",
@@ -4394,8 +4373,8 @@
" TYPE = INTEGER\n",
" INDEX = 70\n",
" TAILLE = 1\n",
- " DEFAUT = 1\n",
- " DEFAUT1 = 1\n",
+ " DEFAUT = 2\n",
+ " DEFAUT1 = 2\n",
" MNEMO = OPT\\_HNEG\n",
" CHOIX = \n",
" - 0 : PAS DE TRAITEMENT\n",
@@ -4410,8 +4389,8 @@
" RUBRIQUE = ['INFO BANCS DECOUVRANTS', '', '']\n",
" RUBRIQUE1 = ['TIDAL FLATS INFO', '', '']\n",
" NIVEAU = 0\n",
- " AIDE = Seulement avec \\telkey{OPTION DE TRAITEMENT DES BANCS DECOUVRANTS} = 1. Les choix possibles sont : \\begin{itemize} \\item 0 : pas de traitement ; \\item 1 : lissage ; \\item 2 : limitation des flux, approche par segment ; \\item 3 : limitation des flux, approche par triangle. \\end{itemize} Si les options 2 ou 3 avec bancs decouvrants sont utilisees, il est obligatoire d avoir \\telkey{MASS-LUMPING SUR H} = 1. + \\telkey{CORRECTION DE CONTINUITE} = OUI + \\telkey{OPTION DE SUPG} pour hauteur d eau = 0 (pas de decentrement SUPG sur la hauteur d eau).\n",
- " AIDE1 = Only with \\telkey{OPTION FOR THE TREATMENT OF TIDAL FLATS} = 1. Possible choices are: \\begin{itemize} \\item 0: no treatment, \\item 1: smoothing, \\item 2: flux control, by segment, \\item 3: flux control, by element. \\end{itemize} If using options 2 or 3 with tidal flats, it is mandatory to set \\telkey{MASS-LUMPING ON H} = 1. + \\telkey{CONTINUITY CORRECTION} = YES + \\telkey{SUPG OPTION} for water depth = 0 (no SUPG upwinding on depth).\n",
+ " AIDE = Seulement avec \\telkey{OPTION DE TRAITEMENT DES BANCS DECOUVRANTS} = 1. Les choix possibles sont : \\begin{itemize} \\item 0 : pas de traitement ; \\item 1 : lissage ; \\item 2 : limitation des flux, approche par segment ; \\item 3 : limitation des flux, approche par triangle. \\end{itemize} Si les options 2 ou 3 avec bancs decouvrants sont utilisees, il est obligatoire d avoir \\telkey{MASS-LUMPING SUR H} = 1. + \\telkey{CORRECTION DE CONTINUITE} = OUI + \\telkey{OPTION DE SUPG} pour hauteur d eau = 0 (pas de decentrement SUPG sur la hauteur d eau). Ancienne valeur par defaut = 1, i.e. lissage, jusqu en V8P5.\n",
+ " AIDE1 = Only with \\telkey{OPTION FOR THE TREATMENT OF TIDAL FLATS} = 1. Possible choices are: \\begin{itemize} \\item 0: no treatment, \\item 1: smoothing, \\item 2: flux control, by segment, \\item 3: flux control, by element. \\end{itemize} If using options 2 or 3 with tidal flats, it is mandatory to set \\telkey{MASS-LUMPING ON H} = 1. + \\telkey{CONTINUITY CORRECTION} = YES + \\telkey{SUPG OPTION} for water depth = 0 (no SUPG upwinding on depth). Old default value = 1, i.e. smoothing, until V8P5.\n",
"~> Key: THRESHOLD FOR NEGATIVE DEPTHS\n",
" fr SEUIL POUR LES PROFONDEURS NEGATIVES\n",
" TYPE = REAL\n",
@@ -4631,14 +4610,14 @@
" TYPE = REAL\n",
" INDEX = 11\n",
" TAILLE = 1\n",
- " DEFAUT = 1e-06\n",
- " DEFAUT1 = 1e-06\n",
+ " DEFAUT = 1e-08\n",
+ " DEFAUT1 = 1e-08\n",
" MNEMO = SLVTRA(ITRAC)\\%EPS\n",
" RUBRIQUE = ['TRACEURS', 'PRECISION TRA', '']\n",
" RUBRIQUE1 = ['TRACERS', 'ACCURACY TRA', '']\n",
" NIVEAU = 0\n",
- " AIDE = Fixe la precision demandee pour le calcul de la diffusion du traceur.\n",
- " AIDE1 = Sets the required accuracy for computing the tracer diffusion.\n",
+ " AIDE = Fixe la precision demandee pour le calcul de la diffusion du traceur. Ancienne valeur par defaut = 1.E-6 jusqu en V8P5.\n",
+ " AIDE1 = Sets the required accuracy for computing the tracer diffusion. Old default value = 1.E-6 until V8P5.\n",
" ~> Key: MAXIMUM NUMBER OF ITERATIONS FOR DIFFUSION OF TRACERS\n",
" fr MAXIMUM D'ITERATIONS POUR LA DIFFUSION DES TRACEURS\n",
" TYPE = INTEGER\n",
@@ -4763,8 +4742,8 @@
" TYPE = INTEGER\n",
" INDEX = 89\n",
" TAILLE = 1\n",
- " DEFAUT = 1\n",
- " DEFAUT1 = 1\n",
+ " DEFAUT = 13\n",
+ " DEFAUT1 = 13\n",
" MNEMO = ICONVFT\n",
" CHOIX = \n",
" - 0 : PAS DE CONVECTION\n",
@@ -4790,8 +4769,8 @@
" RUBRIQUE = ['TRACEURS', 'NUMERIQUE', '']\n",
" RUBRIQUE1 = ['TRACERS', 'NUMERICAL', '']\n",
" NIVEAU = 1\n",
- " AIDE = Choix du schema de convection pour les traceurs, remplace \\telkey{FORME DE LA CONVECTION}.\n",
- " AIDE1 = Choice of the advection scheme for the tracers, replaces \\telkey{TYPE OF ADVECTION}.\n",
+ " AIDE = Choix du schema de convection pour les traceurs, remplace \\telkey{FORME DE LA CONVECTION}. Ancienne valeur par defaut = 1, i.e. caracteristiques, jusqu en V8P5.\n",
+ " AIDE1 = Choice of the advection scheme for the tracers, replaces \\telkey{TYPE OF ADVECTION}. Old default value = 1, i.e. characteristics, until V8P5.\n",
" ~> Key: SCHEME OPTION FOR ADVECTION OF TRACERS\n",
" fr OPTION DU SCHEMA POUR LA CONVECTION DES TRACEURS\n",
" TYPE = INTEGER\n",
@@ -5146,19 +5125,6 @@
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
" ~> 8.3-OIL SPILL\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- " ~> Key: OIL SPILL MODEL\n",
- " fr MODELE DE NAPPES D'HYDROCARBURES\n",
- " TYPE = LOGICAL\n",
- " INDEX = 45\n",
- " TAILLE = 1\n",
- " DEFAUT = False\n",
- " DEFAUT1 = False\n",
- " MNEMO = SPILL\\_MODEL\n",
- " RUBRIQUE = ['TRANSPORT DE PARTICULE', 'NAPPES', '']\n",
- " RUBRIQUE1 = ['PARTICLE TRANSPORT', 'OIL SPILL', '']\n",
- " NIVEAU = 0\n",
- " AIDE = Pour declencher le modele de derive de nappes, dans ce cas le fichier de commandes migrhycar est necessaire.\n",
- " AIDE1 = Will trigger the oil spill model, in this case the \\telkey{OIL SPILL STEERING FILE} is needed.\n",
" ~> Key: OIL SPILL STEERING FILE\n",
" fr FICHIER DE COMMANDES HYDROCARBURES\n",
" TYPE = STRING\n",
@@ -5171,8 +5137,8 @@
" RUBRIQUE = ['TRANSPORT DE PARTICULE', 'NAPPES', '']\n",
" RUBRIQUE1 = ['PARTICLE TRANSPORT', 'OIL SPILL', '']\n",
" NIVEAU = 0\n",
- " AIDE = Contient les donnees pour le modele de derive de nappes.\n",
- " AIDE1 = Contains data for the \\telkey{OIL SPILL MODEL}.\n",
+ " AIDE = Contient les donnees pour le modele de derive de nappes d hydrocarbures. Si present dans le fichier de parametres, declenche le modele de derive de nappes d hydrocarbures depuis la version 9.0 sans mot-cle booleen \\telkey{MODELE DE NAPPES D\"HYDROCARBURES}.\n",
+ " AIDE1 = Contains data for the oil spill model. If present in the steering file, triggers the oil spill model since release 9.0 without boolean keyword \\telkey{OIL SPILL MODEL}.\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
" ~> 8.4-BROWNIAN MOTION\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
@@ -5193,8 +5159,8 @@
" RUBRIQUE = ['TRANSPORT DE PARTICULE', 'MOUVEMENT BROWNIEN', '']\n",
" RUBRIQUE1 = ['PARTICLE TRANSPORT', 'BROWNIAN MOTION', '']\n",
" NIVEAU = 0\n",
- " AIDE = Pour les particules : flotteurs, hydrocarbures. Si aucune turbulence n est activee, la diffusion stochastique n est pas prise en compte pendant le transport de particules.\n",
- " AIDE1 = Meant for particles: drogues, oil spills. If no turbulence is activated, this stochastic diffusion is not considered during the particle transport.\n",
+ " AIDE = Pour les particules : flotteurs, hydrocarbures. Choix possibles : \\begin{itemize} \\item 0 : pas de modele ; \\item 1 : mouvement brownien. \\end{itemize} Si aucune turbulence n est activee, la diffusion stochastique n est pas prise en compte pendant le transport de particules.\n",
+ " AIDE1 = Meant for particles: drogues, oil spills. Possible choices: \\begin{itemize} \\item 0: no model, \\item 1: brownian movement. \\end{itemize} If no turbulence is activated, this stochastic diffusion is not considered during the particle transport.\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
" ~> 8.5-LAGRANGIAN DRIFTS\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
@@ -5261,8 +5227,8 @@
" RUBRIQUE = ['OUVRAGES HYDRAULIQUES', 'SEUILS', '']\n",
" RUBRIQUE1 = ['HYDRAULIC STRUCTURES', 'WEIRS', '']\n",
" NIVEAU = 0\n",
- " AIDE = Methode de traitement des seuils. Deux Solutions: \\begin{itemize} \\item horizontal avec meme nombre de noeuds amont/aval (Solution historique avec le sous-programme \\telfile{BORD}) ; \\item generale (nouvelle solution avec pts sources). \\end{itemize}\n",
- " AIDE1 = Method for treatment of weirs. Two options: \\begin{itemize} \\item horizontal with same number of nodes upstream/downstream (Historical solution with the \\telfile{BORD} subroutine), \\item general (new solution with sources points). \\end{itemize}\n",
+ " AIDE = Methode de traitement des seuils. Deux Solutions: \\begin{itemize} \\item 1 : horizontal avec meme nombre de noeuds amont/aval (Solution historique avec le sous-programme \\telfile{BORD}) ; \\item 2 : generale (nouvelle solution avec pts sources). \\end{itemize}\n",
+ " AIDE1 = Method for treatment of weirs. Two options: \\begin{itemize} \\item 1: horizontal with same number of nodes upstream/downstream (Historical solution with the \\telfile{BORD} subroutine), \\item 2: general (new solution with sources points). \\end{itemize}\n",
" ~> Key: WEIRS DISCHARGE OUTPUT FILE\n",
" fr FICHIER DE SORTIE DES DEBITS DES SEUILS\n",
" TYPE = STRING\n",
@@ -5323,19 +5289,6 @@
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
" ~> 9.3-BREACHES\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- " ~> Key: BREACH\n",
- " fr BRECHE\n",
- " TYPE = LOGICAL\n",
- " INDEX = 2\n",
- " TAILLE = 1\n",
- " DEFAUT = False\n",
- " DEFAUT1 = False\n",
- " MNEMO = BRECHE\n",
- " RUBRIQUE = ['OUVRAGES HYDRAULIQUES', 'BRECHES', '']\n",
- " RUBRIQUE1 = ['HYDRAULIC STRUCTURES', 'BREACHES', '']\n",
- " NIVEAU = 0\n",
- " AIDE = Prise en compte de breches dans le calcul par modification altimetrique dans le maillage. La description des breches se fait avec le \\telkey{FICHIER DE DONNEES DES BRECHES}.\n",
- " AIDE1 = Take in account some breaches during the computation by modifying the bottom level of the mesh. Breach description is done with the \\telkey{BREACHES DATA FILE}.\n",
" ~> Key: BREACHES DATA FILE\n",
" fr FICHIER DE DONNEES DES BRECHES\n",
" TYPE = STRING\n",
@@ -5348,8 +5301,8 @@
" RUBRIQUE = ['OUVRAGES HYDRAULIQUES', 'BRECHES', '']\n",
" RUBRIQUE1 = ['HYDRAULIC STRUCTURES', 'BREACHES', '']\n",
" NIVEAU = 0\n",
- " AIDE = Fichier de description des breches.\n",
- " AIDE1 = Description of breaches.\n",
+ " AIDE = Fichier de description des breches. Si present dans le fichier de parametres, la prise en compte de breches dans le calcul par modification altimetrique dans le maillage est activee sans le mot cle booleen \\telkey{BRECHE} depuis la version 9.0.\n",
+ " AIDE1 = File to describe breaches. If present in the steering file, some breaches are taken into account during the computation by modifying the bottom level of the mesh without activating boolean keyword \\telkey{BREACH} since release 9.0.\n",
" ~> Key: INITIAL WIDTHS OF BREACHES\n",
" fr LARGEURS INITIALES DES BRECHES\n",
" TYPE = LOGICAL\n",
@@ -5595,8 +5548,8 @@
" RUBRIQUE = ['MAREES', 'CONDITIONS AUX LIMITES', '']\n",
" RUBRIQUE1 = ['TIDES', 'BOUNDARY CONDITIONS', '']\n",
" NIVEAU = 0\n",
- " AIDE = Pour JMJ, renseigner la localisation du fichier bdd\\_jmj et geofin dans les mots-cles \\telkey{BASE ASCII DE DONNEES DE MAREE} et \\telkey{FICHIER DU MODELE DE MAREE}. Pour TPXO, LEGOS-NEA, FES20XX et PREVIMER, l\"utilisateur doit telecharger les fichiers de constantes harmoniques sur internet.\n",
- " AIDE1 = For JMJ, indicate the location of the files bdd\\_jmj and geofin with keywords \\telkey{ASCII DATABASE FOR TIDE} and \\telkey{TIDAL MODEL FILE}. For TPXO, LEGOS-NEA, FES20XX and PREVIMER, the user has to download files of harmonic constituents on the internet.\n",
+ " AIDE = Choix possibles : \\begin{itemize} \\item 1 : JMJ ; \\item 2 : TPXO ; \\item 3 : divers (LEGOS-NEA, FES20XX, PREVIMER...). \\end{itemize} Pour JMJ, renseigner la localisation du fichier bdd\\_jmj et geofin dans les mots-cles \\telkey{BASE ASCII DE DONNEES DE MAREE} et \\telkey{FICHIER DU MODELE DE MAREE}. Pour TPXO, LEGOS-NEA, FES20XX et PREVIMER, l\"utilisateur doit telecharger les fichiers de constantes harmoniques sur internet.\n",
+ " AIDE1 = Possible choices: \\begin{itemize} \\item 1: JMJ, \\item 2: TPXO, \\item 3: miscellaneous (LEGOS-NEA, FES20XX, PREVIMER...). \\end{itemize} For JMJ, indicate the location of the files bdd\\_jmj and geofin with keywords \\telkey{ASCII DATABASE FOR TIDE} and \\telkey{TIDAL MODEL FILE}. For TPXO, LEGOS-NEA, FES20XX and PREVIMER, the user has to download files of harmonic constituents on the internet.\n",
" ~> Key: HARMONIC CONSTANTS FILE\n",
" fr FICHIER DES CONSTANTES HARMONIQUES\n",
" TYPE = STRING\n",
@@ -5898,8 +5851,8 @@
" RUBRIQUE = ['COUPLAGE', 'DELWAQ', '']\n",
" RUBRIQUE1 = ['COUPLING', 'DELWAQ', '']\n",
" NIVEAU = 1\n",
- " AIDE = Fichier de resultats pour le chainage avec DELWAQ.\n",
- " AIDE1 = Results file for chaining with DELWAQ.\n",
+ " AIDE = Fichier de resultats contenant la vitesse pour le chainage avec DELWAQ. Si present dans le fichier de parametres, declenche la sortie de la vitesse dans ce fichier depuis la version 9.0 sans mot-cle booleen \\telkey{VITESSE POUR DELWAQ}.\n",
+ " AIDE1 = Results file containing the velocity for the chaining with DELWAQ. If present in the steering file, triggers the output of velocity in this file since release 9.0 without boolean keyword \\telkey{VELOCITY FOR DELWAQ}.\n",
" ~> Key: DIFFUSIVITY DELWAQ FILE\n",
" fr FICHIER DELWAQ DE LA DIFFUSION\n",
" TYPE = STRING\n",
@@ -5912,8 +5865,8 @@
" RUBRIQUE = ['COUPLAGE', 'DELWAQ', '']\n",
" RUBRIQUE1 = ['COUPLING', 'DELWAQ', '']\n",
" NIVEAU = 1\n",
- " AIDE = Fichier de resultats pour le chainage avec DELWAQ.\n",
- " AIDE1 = Results file for chaining with DELWAQ.\n",
+ " AIDE = Fichier de resultats contenant le coefficient de diffusion pour le chainage avec DELWAQ. Si present dans le fichier de parametres, declenche la sortie du coefficient de diffusion dans ce fichier depuis la version 9.0 sans mot-cle booleen \\telkey{DIFFUSION POUR DELWAQ}.\n",
+ " AIDE1 = Results file containing the diffusion coefficient for the chaining with DELWAQ. If present in the steering file, triggers the output of diffusion coefficient in this file since release 9.0 without boolean keyword \\telkey{DIFFUSIVITY FOR DELWAQ}.\n",
" ~> Key: TEMPERATURE DELWAQ FILE\n",
" fr FICHIER DELWAQ DE LA TEMPERATURE\n",
" TYPE = STRING\n",
@@ -5926,8 +5879,8 @@
" RUBRIQUE = ['COUPLAGE', 'DELWAQ', '']\n",
" RUBRIQUE1 = ['COUPLING', 'DELWAQ', '']\n",
" NIVEAU = 1\n",
- " AIDE = Fichier de resultats pour le chainage avec DELWAQ.\n",
- " AIDE1 = Results file for chaining with DELWAQ.\n",
+ " AIDE = Fichier de resultats contenant la temperature pour le chainage avec DELWAQ. Si present dans le fichier de parametres, declenche la sortie de la temperature dans ce fichier depuis la version 9.0 sans mot-cle booleen \\telkey{TEMPERATURE POUR DELWAQ}.\n",
+ " AIDE1 = Results file containing the temperature for the chaining with DELWAQ. If present in the steering file, triggers the output of temperature in this file since release 9.0 without boolean keyword \\telkey{TEMPERATURE FOR DELWAQ}.\n",
" ~> Key: SALINITY DELWAQ FILE\n",
" fr FICHIER DELWAQ DE LA SALINITE\n",
" TYPE = STRING\n",
@@ -5940,60 +5893,8 @@
" RUBRIQUE = ['COUPLAGE', 'DELWAQ', '']\n",
" RUBRIQUE1 = ['COUPLING', 'DELWAQ', '']\n",
" NIVEAU = 1\n",
- " AIDE = Fichier de resultats pour le chainage avec DELWAQ.\n",
- " AIDE1 = Results file for chaining with DELWAQ.\n",
- " ~> Key: VELOCITY FOR DELWAQ\n",
- " fr VITESSE POUR DELWAQ\n",
- " TYPE = LOGICAL\n",
- " INDEX = 43\n",
- " TAILLE = 1\n",
- " DEFAUT = False\n",
- " DEFAUT1 = False\n",
- " MNEMO = VELO\\_DEL\n",
- " RUBRIQUE = ['COUPLAGE', 'DELWAQ', '']\n",
- " RUBRIQUE1 = ['COUPLING', 'DELWAQ', '']\n",
- " NIVEAU = 1\n",
- " AIDE = Decide de la sortie de la vitesse pour DELWAQ.\n",
- " AIDE1 = Triggers the output of velocity for DELWAQ.\n",
- " ~> Key: DIFFUSIVITY FOR DELWAQ\n",
- " fr DIFFUSION POUR DELWAQ\n",
- " TYPE = LOGICAL\n",
- " INDEX = 44\n",
- " TAILLE = 1\n",
- " DEFAUT = False\n",
- " DEFAUT1 = False\n",
- " MNEMO = DIFF\\_DEL\n",
- " RUBRIQUE = ['COUPLAGE', 'DELWAQ', '']\n",
- " RUBRIQUE1 = ['COUPLING', 'DELWAQ', '']\n",
- " NIVEAU = 1\n",
- " AIDE = Decide de la sortie du coefficient de diffusion pour DELWAQ.\n",
- " AIDE1 = Triggers the output of diffusion for DELWAQ.\n",
- " ~> Key: TEMPERATURE FOR DELWAQ\n",
- " fr TEMPERATURE POUR DELWAQ\n",
- " TYPE = LOGICAL\n",
- " INDEX = 42\n",
- " TAILLE = 1\n",
- " DEFAUT = False\n",
- " DEFAUT1 = False\n",
- " MNEMO = TEMP\\_DEL\n",
- " RUBRIQUE = ['COUPLAGE', 'DELWAQ', '']\n",
- " RUBRIQUE1 = ['COUPLING', 'DELWAQ', '']\n",
- " NIVEAU = 1\n",
- " AIDE = Decide de la sortie de la temperature pour DELWAQ.\n",
- " AIDE1 = Triggers the output of temperature for DELWAQ.\n",
- " ~> Key: SALINITY FOR DELWAQ\n",
- " fr SALINITE POUR DELWAQ\n",
- " TYPE = LOGICAL\n",
- " INDEX = 41\n",
- " TAILLE = 1\n",
- " DEFAUT = False\n",
- " DEFAUT1 = False\n",
- " MNEMO = SALI\\_DEL\n",
- " RUBRIQUE = ['COUPLAGE', 'DELWAQ', '']\n",
- " RUBRIQUE1 = ['COUPLING', 'DELWAQ', '']\n",
- " NIVEAU = 1\n",
- " AIDE = Decide de la sortie de la salinite pour DELWAQ.\n",
- " AIDE1 = Triggers the output of salinity for DELWAQ.\n",
+ " AIDE = Fichier de resultats contenant la salinite pour le chainage avec DELWAQ. Si present dans le fichier de parametres, declenche la sortie de la salinite dans ce fichier depuis la version 9.0 sans mot-cle booleen \\telkey{SALINITE POUR DELWAQ}.\n",
+ " AIDE1 = Results file containing the salinity for the chaining with DELWAQ. If present in the steering file, triggers the output of salinity in this file since release 9.0 without boolean keyword \\telkey{SALINITY FOR DELWAQ}.\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
" ~> 11.2-GAIA\n",
" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
@@ -6167,8 +6068,8 @@
" RUBRIQUE = ['INTERNE', '', '']\n",
" RUBRIQUE1 = ['INTERNAL', '', '']\n",
" NIVEAU = 1\n",
- " AIDE = 1 : FRANCAIS 2 : ANGLAIS\n",
- " AIDE1 = 1: FRENCH 2: ENGLISH\n",
+ " AIDE = Choix possibles : \\begin{itemize} \\item 1 : francais ; \\item 2 : anglais. \\end{itemize}\n",
+ " AIDE1 = Possible choices: \\begin{itemize} \\item 1: French, \\item 2: English. \\end{itemize}\n",
"~> Key: STEERING FILE\n",
" fr FICHIER DES PARAMETRES\n",
" TYPE = STRING\n",
@@ -6262,10 +6163,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:00.384250Z",
- "iopub.status.busy": "2023-12-01T10:21:00.384011Z",
- "iopub.status.idle": "2023-12-01T10:21:00.390349Z",
- "shell.execute_reply": "2023-12-01T10:21:00.389749Z"
+ "iopub.execute_input": "2024-11-29T15:16:00.186296Z",
+ "iopub.status.busy": "2024-11-29T15:16:00.185987Z",
+ "iopub.status.idle": "2024-11-29T15:16:00.192160Z",
+ "shell.execute_reply": "2024-11-29T15:16:00.191520Z"
},
"scrolled": false
},
@@ -6377,10 +6278,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:00.392862Z",
- "iopub.status.busy": "2023-12-01T10:21:00.392628Z",
- "iopub.status.idle": "2023-12-01T10:21:02.965150Z",
- "shell.execute_reply": "2023-12-01T10:21:02.964588Z"
+ "iopub.execute_input": "2024-11-29T15:16:00.195041Z",
+ "iopub.status.busy": "2024-11-29T15:16:00.194766Z",
+ "iopub.status.idle": "2024-11-29T15:16:05.704199Z",
+ "shell.execute_reply": "2024-11-29T15:16:05.703547Z"
},
"scrolled": true
},
@@ -6413,6 +6314,7 @@
"SUPG OPTION = [2, 2]\n",
"TIME STEP = 0.04\n",
"TITLE = TELEMAC 2D: DROPLET IN A BASIN\n",
+ "TREATMENT OF NEGATIVE DEPTHS = 1\n",
"TREATMENT OF THE LINEAR SYSTEM = 1\n",
"TURBULENCE MODEL = 1\n",
"TYPE OF ADVECTION = [2, 5]\n",
@@ -6458,10 +6360,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:02.967545Z",
- "iopub.status.busy": "2023-12-01T10:21:02.967303Z",
- "iopub.status.idle": "2023-12-01T10:21:02.974346Z",
- "shell.execute_reply": "2023-12-01T10:21:02.973806Z"
+ "iopub.execute_input": "2024-11-29T15:16:05.707108Z",
+ "iopub.status.busy": "2024-11-29T15:16:05.706818Z",
+ "iopub.status.idle": "2024-11-29T15:16:05.715641Z",
+ "shell.execute_reply": "2024-11-29T15:16:05.715016Z"
},
"scrolled": true
},
@@ -6524,10 +6426,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:02.976742Z",
- "iopub.status.busy": "2023-12-01T10:21:02.976508Z",
- "iopub.status.idle": "2023-12-01T10:21:03.167701Z",
- "shell.execute_reply": "2023-12-01T10:21:03.167061Z"
+ "iopub.execute_input": "2024-11-29T15:16:05.718459Z",
+ "iopub.status.busy": "2024-11-29T15:16:05.718184Z",
+ "iopub.status.idle": "2024-11-29T15:16:06.037547Z",
+ "shell.execute_reply": "2024-11-29T15:16:06.036897Z"
},
"scrolled": true
},
@@ -6825,7 +6727,7 @@
" </tr>\n",
" <tr>\n",
" <th>TREATMENT OF NEGATIVE DEPTHS</th>\n",
- " <td></td>\n",
+ " <td>1</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
@@ -6909,7 +6811,7 @@
"TIME STEP 0.04 \n",
"TITLE TELEMAC 2D: DROPLET IN A BASIN \n",
"TOLERANCES FOR IDENTIFICATION \n",
- "TREATMENT OF NEGATIVE DEPTHS \n",
+ "TREATMENT OF NEGATIVE DEPTHS 1 \n",
"TREATMENT OF THE LINEAR SYSTEM 1 \n",
"TURBULENCE MODEL 1 \n",
"TYPE OF ADVECTION [2, 5] \n",
@@ -7063,10 +6965,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:03.170129Z",
- "iopub.status.busy": "2023-12-01T10:21:03.169885Z",
- "iopub.status.idle": "2023-12-01T10:21:06.428765Z",
- "shell.execute_reply": "2023-12-01T10:21:06.426223Z"
+ "iopub.execute_input": "2024-11-29T15:16:06.040494Z",
+ "iopub.status.busy": "2024-11-29T15:16:06.040208Z",
+ "iopub.status.idle": "2024-11-29T15:16:12.516755Z",
+ "shell.execute_reply": "2024-11-29T15:16:12.515962Z"
},
"scrolled": true
},
@@ -7106,10 +7008,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:06.437706Z",
- "iopub.status.busy": "2023-12-01T10:21:06.436513Z",
- "iopub.status.idle": "2023-12-01T10:21:06.451034Z",
- "shell.execute_reply": "2023-12-01T10:21:06.450528Z"
+ "iopub.execute_input": "2024-11-29T15:16:12.519979Z",
+ "iopub.status.busy": "2024-11-29T15:16:12.519667Z",
+ "iopub.status.idle": "2024-11-29T15:16:12.537113Z",
+ "shell.execute_reply": "2024-11-29T15:16:12.536482Z"
},
"scrolled": true
},
@@ -7425,7 +7327,7 @@
" </tr>\n",
" <tr>\n",
" <th>TREATMENT OF NEGATIVE DEPTHS</th>\n",
- " <td></td>\n",
+ " <td>1</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
@@ -7518,7 +7420,7 @@
"TIME STEP 0.04 \n",
"TITLE TELEMAC 2D: DROPLET IN A BASIN \n",
"TOLERANCES FOR IDENTIFICATION \n",
- "TREATMENT OF NEGATIVE DEPTHS \n",
+ "TREATMENT OF NEGATIVE DEPTHS 1 \n",
"TREATMENT OF THE LINEAR SYSTEM 1 \n",
"TURBULENCE MODEL 1 \n",
"TYPE OF ADVECTION [2, 5] \n",
diff --git a/notebooks/optim/genop.ipynb b/notebooks/optim/genop.ipynb
index 8dea2b5cb7..c29fb02819 100644
--- a/notebooks/optim/genop.ipynb
+++ b/notebooks/optim/genop.ipynb
@@ -38,10 +38,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:08.248172Z",
- "iopub.status.busy": "2023-12-01T10:21:08.247461Z",
- "iopub.status.idle": "2023-12-01T10:21:08.274809Z",
- "shell.execute_reply": "2023-12-01T10:21:08.272596Z"
+ "iopub.execute_input": "2024-11-29T15:16:15.185244Z",
+ "iopub.status.busy": "2024-11-29T15:16:15.184967Z",
+ "iopub.status.idle": "2024-11-29T15:16:15.194663Z",
+ "shell.execute_reply": "2024-11-29T15:16:15.194031Z"
}
},
"outputs": [],
@@ -64,10 +64,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:08.283627Z",
- "iopub.status.busy": "2023-12-01T10:21:08.282931Z",
- "iopub.status.idle": "2023-12-01T10:21:08.348963Z",
- "shell.execute_reply": "2023-12-01T10:21:08.348426Z"
+ "iopub.execute_input": "2024-11-29T15:16:15.197592Z",
+ "iopub.status.busy": "2024-11-29T15:16:15.197309Z",
+ "iopub.status.idle": "2024-11-29T15:16:15.288154Z",
+ "shell.execute_reply": "2024-11-29T15:16:15.287491Z"
}
},
"outputs": [],
@@ -87,10 +87,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:08.351829Z",
- "iopub.status.busy": "2023-12-01T10:21:08.351614Z",
- "iopub.status.idle": "2023-12-01T10:21:08.355982Z",
- "shell.execute_reply": "2023-12-01T10:21:08.355459Z"
+ "iopub.execute_input": "2024-11-29T15:16:15.291247Z",
+ "iopub.status.busy": "2024-11-29T15:16:15.290896Z",
+ "iopub.status.idle": "2024-11-29T15:16:15.296152Z",
+ "shell.execute_reply": "2024-11-29T15:16:15.295519Z"
}
},
"outputs": [
@@ -174,10 +174,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:08.358639Z",
- "iopub.status.busy": "2023-12-01T10:21:08.358463Z",
- "iopub.status.idle": "2023-12-01T10:21:08.363895Z",
- "shell.execute_reply": "2023-12-01T10:21:08.363435Z"
+ "iopub.execute_input": "2024-11-29T15:16:15.298955Z",
+ "iopub.status.busy": "2024-11-29T15:16:15.298671Z",
+ "iopub.status.idle": "2024-11-29T15:16:15.306398Z",
+ "shell.execute_reply": "2024-11-29T15:16:15.305786Z"
}
},
"outputs": [
@@ -235,10 +235,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:08.366481Z",
- "iopub.status.busy": "2023-12-01T10:21:08.366303Z",
- "iopub.status.idle": "2023-12-01T10:21:08.369290Z",
- "shell.execute_reply": "2023-12-01T10:21:08.368796Z"
+ "iopub.execute_input": "2024-11-29T15:16:15.309286Z",
+ "iopub.status.busy": "2024-11-29T15:16:15.308994Z",
+ "iopub.status.idle": "2024-11-29T15:16:15.313487Z",
+ "shell.execute_reply": "2024-11-29T15:16:15.312860Z"
}
},
"outputs": [],
@@ -251,10 +251,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:08.371679Z",
- "iopub.status.busy": "2023-12-01T10:21:08.371504Z",
- "iopub.status.idle": "2023-12-01T10:21:08.376914Z",
- "shell.execute_reply": "2023-12-01T10:21:08.376381Z"
+ "iopub.execute_input": "2024-11-29T15:16:15.316280Z",
+ "iopub.status.busy": "2024-11-29T15:16:15.315987Z",
+ "iopub.status.idle": "2024-11-29T15:16:15.324155Z",
+ "shell.execute_reply": "2024-11-29T15:16:15.323419Z"
}
},
"outputs": [],
@@ -274,10 +274,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:08.379466Z",
- "iopub.status.busy": "2023-12-01T10:21:08.379317Z",
- "iopub.status.idle": "2023-12-01T10:21:08.494983Z",
- "shell.execute_reply": "2023-12-01T10:21:08.492107Z"
+ "iopub.execute_input": "2024-11-29T15:16:15.327171Z",
+ "iopub.status.busy": "2024-11-29T15:16:15.326887Z",
+ "iopub.status.idle": "2024-11-29T15:16:15.441033Z",
+ "shell.execute_reply": "2024-11-29T15:16:15.440260Z"
}
},
"outputs": [
@@ -285,7 +285,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "/bin/bash: ligne 1: test_genop.py : commande introuvable\r\n"
+ "/bin/bash: line 1: test_genop.py: command not found\r\n"
]
}
],
@@ -333,10 +333,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:08.505558Z",
- "iopub.status.busy": "2023-12-01T10:21:08.504793Z",
- "iopub.status.idle": "2023-12-01T10:21:08.524640Z",
- "shell.execute_reply": "2023-12-01T10:21:08.522266Z"
+ "iopub.execute_input": "2024-11-29T15:16:15.444524Z",
+ "iopub.status.busy": "2024-11-29T15:16:15.444192Z",
+ "iopub.status.idle": "2024-11-29T15:16:15.450292Z",
+ "shell.execute_reply": "2024-11-29T15:16:15.449676Z"
}
},
"outputs": [],
@@ -380,10 +380,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:08.533359Z",
- "iopub.status.busy": "2023-12-01T10:21:08.532635Z",
- "iopub.status.idle": "2023-12-01T10:21:08.560394Z",
- "shell.execute_reply": "2023-12-01T10:21:08.559962Z"
+ "iopub.execute_input": "2024-11-29T15:16:15.453179Z",
+ "iopub.status.busy": "2024-11-29T15:16:15.452886Z",
+ "iopub.status.idle": "2024-11-29T15:16:15.488513Z",
+ "shell.execute_reply": "2024-11-29T15:16:15.487868Z"
}
},
"outputs": [
@@ -395,34 +395,28 @@
"-------------------------------\n",
"| iter | Cost |\n",
"-------------------------------\n",
- " 1 1.125173e+00\n",
- " 2 4.848044e-01\n",
- " 3 4.848044e-01\n",
- " 4 3.651483e-01\n",
- " 5 1.218107e-01\n",
- " 6 1.218107e-01\n",
- " 7 5.119321e-02\n",
- " 8 4.558540e-02\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " 9 4.558540e-02\n",
- " 10 4.558540e-02\n",
+ " 1 2.246298e+00\n",
+ " 2 6.128540e-02\n",
+ " 3 6.128540e-02\n",
+ " 4 6.128540e-02\n",
+ " 5 4.842367e-02\n",
+ " 6 4.784124e-02\n",
+ " 7 4.783422e-02\n",
+ " 8 4.780330e-02\n",
+ " 9 4.780164e-02\n",
+ " 10 4.780137e-02\n",
"-------------------------------------\n",
"\n",
"--> Maximum number of iterations: 10\n",
"-------------------------------------\n",
"\n",
- "--> Number of simulations: 453\n",
+ "--> Number of simulations: 434\n",
"-------------------------------------\n",
"\n",
"--> Best solution found:\n",
- "\t * cost function: 4.558540e-02\n",
+ "\t * cost function: 4.780137e-02\n",
"\t * solution:\t\n",
- "\t\t0: 1.2004494151851886\t\t\t1: 1.433726636241773\n",
+ "\t\t0: 1.215813265516943\t\t\t1: 1.4817033307199134\n",
"-------------------------------------\n",
"\n"
]
@@ -444,16 +438,16 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:08.562836Z",
- "iopub.status.busy": "2023-12-01T10:21:08.562680Z",
- "iopub.status.idle": "2023-12-01T10:21:08.914841Z",
- "shell.execute_reply": "2023-12-01T10:21:08.914436Z"
+ "iopub.execute_input": "2024-11-29T15:16:15.491357Z",
+ "iopub.status.busy": "2024-11-29T15:16:15.491065Z",
+ "iopub.status.idle": "2024-11-29T15:16:16.124278Z",
+ "shell.execute_reply": "2024-11-29T15:16:16.123620Z"
}
},
"outputs": [
{
"data": {
- "image/png": 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",
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
@@ -479,16 +473,16 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:08.917452Z",
- "iopub.status.busy": "2023-12-01T10:21:08.917220Z",
- "iopub.status.idle": "2023-12-01T10:21:09.179532Z",
- "shell.execute_reply": "2023-12-01T10:21:09.178891Z"
+ "iopub.execute_input": "2024-11-29T15:16:16.127144Z",
+ "iopub.status.busy": "2024-11-29T15:16:16.126788Z",
+ "iopub.status.idle": "2024-11-29T15:16:16.602093Z",
+ "shell.execute_reply": "2024-11-29T15:16:16.601422Z"
}
},
"outputs": [
{
"data": {
- "image/png": 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",
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
diff --git a/notebooks/optim/telemac2d_optim_genop.ipynb b/notebooks/optim/telemac2d_optim_genop.ipynb
index cfa2e306c2..0b39d11ea8 100644
--- a/notebooks/optim/telemac2d_optim_genop.ipynb
+++ b/notebooks/optim/telemac2d_optim_genop.ipynb
@@ -27,10 +27,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:10.091372Z",
- "iopub.status.busy": "2023-12-01T10:21:10.089378Z",
- "iopub.status.idle": "2023-12-01T10:21:10.168620Z",
- "shell.execute_reply": "2023-12-01T10:21:10.168028Z"
+ "iopub.execute_input": "2024-11-29T15:16:17.936232Z",
+ "iopub.status.busy": "2024-11-29T15:16:17.935938Z",
+ "iopub.status.idle": "2024-11-29T15:16:18.023651Z",
+ "shell.execute_reply": "2024-11-29T15:16:18.022988Z"
}
},
"outputs": [],
@@ -57,10 +57,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:10.171865Z",
- "iopub.status.busy": "2023-12-01T10:21:10.171526Z",
- "iopub.status.idle": "2023-12-01T10:21:10.177522Z",
- "shell.execute_reply": "2023-12-01T10:21:10.176907Z"
+ "iopub.execute_input": "2024-11-29T15:16:18.027051Z",
+ "iopub.status.busy": "2024-11-29T15:16:18.026701Z",
+ "iopub.status.idle": "2024-11-29T15:16:18.032647Z",
+ "shell.execute_reply": "2024-11-29T15:16:18.032026Z"
}
},
"outputs": [
@@ -191,13 +191,23 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:10.180085Z",
- "iopub.status.busy": "2023-12-01T10:21:10.179618Z",
- "iopub.status.idle": "2023-12-01T10:21:10.581961Z",
- "shell.execute_reply": "2023-12-01T10:21:10.578702Z"
+ "iopub.execute_input": "2024-11-29T15:16:18.035580Z",
+ "iopub.status.busy": "2024-11-29T15:16:18.035292Z",
+ "iopub.status.idle": "2024-11-29T15:16:18.463070Z",
+ "shell.execute_reply": "2024-11-29T15:16:18.462313Z"
}
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\n",
+ "No protocol specified\n",
+ "No protocol specified\n"
+ ]
+ }
+ ],
"source": [
"from telapy.tools.study_t2d import StudyTelemac2D\n",
"import numpy as np\n",
@@ -225,10 +235,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:10.592040Z",
- "iopub.status.busy": "2023-12-01T10:21:10.591251Z",
- "iopub.status.idle": "2023-12-01T10:21:10.607619Z",
- "shell.execute_reply": "2023-12-01T10:21:10.604924Z"
+ "iopub.execute_input": "2024-11-29T15:16:18.466211Z",
+ "iopub.status.busy": "2024-11-29T15:16:18.465881Z",
+ "iopub.status.idle": "2024-11-29T15:16:18.471017Z",
+ "shell.execute_reply": "2024-11-29T15:16:18.470390Z"
}
},
"outputs": [],
@@ -255,10 +265,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:10.616428Z",
- "iopub.status.busy": "2023-12-01T10:21:10.615688Z",
- "iopub.status.idle": "2023-12-01T10:21:10.627573Z",
- "shell.execute_reply": "2023-12-01T10:21:10.624737Z"
+ "iopub.execute_input": "2024-11-29T15:16:18.473832Z",
+ "iopub.status.busy": "2024-11-29T15:16:18.473537Z",
+ "iopub.status.idle": "2024-11-29T15:16:18.477061Z",
+ "shell.execute_reply": "2024-11-29T15:16:18.476451Z"
}
},
"outputs": [],
@@ -273,10 +283,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:10.636167Z",
- "iopub.status.busy": "2023-12-01T10:21:10.635455Z",
- "iopub.status.idle": "2023-12-01T10:21:10.646528Z",
- "shell.execute_reply": "2023-12-01T10:21:10.643732Z"
+ "iopub.execute_input": "2024-11-29T15:16:18.479781Z",
+ "iopub.status.busy": "2024-11-29T15:16:18.479491Z",
+ "iopub.status.idle": "2024-11-29T15:16:18.482963Z",
+ "shell.execute_reply": "2024-11-29T15:16:18.482360Z"
}
},
"outputs": [],
@@ -293,10 +303,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:10.654704Z",
- "iopub.status.busy": "2023-12-01T10:21:10.654200Z",
- "iopub.status.idle": "2023-12-01T10:21:10.662431Z",
- "shell.execute_reply": "2023-12-01T10:21:10.660534Z"
+ "iopub.execute_input": "2024-11-29T15:16:18.485647Z",
+ "iopub.status.busy": "2024-11-29T15:16:18.485371Z",
+ "iopub.status.idle": "2024-11-29T15:16:18.489324Z",
+ "shell.execute_reply": "2024-11-29T15:16:18.488722Z"
}
},
"outputs": [],
@@ -319,10 +329,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:10.667573Z",
- "iopub.status.busy": "2023-12-01T10:21:10.667193Z",
- "iopub.status.idle": "2023-12-01T10:21:10.672666Z",
- "shell.execute_reply": "2023-12-01T10:21:10.671172Z"
+ "iopub.execute_input": "2024-11-29T15:16:18.492018Z",
+ "iopub.status.busy": "2024-11-29T15:16:18.491736Z",
+ "iopub.status.idle": "2024-11-29T15:16:18.494953Z",
+ "shell.execute_reply": "2024-11-29T15:16:18.494351Z"
}
},
"outputs": [],
@@ -350,10 +360,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:21:10.677987Z",
- "iopub.status.busy": "2023-12-01T10:21:10.677680Z",
- "iopub.status.idle": "2023-12-01T10:31:15.719941Z",
- "shell.execute_reply": "2023-12-01T10:31:15.719319Z"
+ "iopub.execute_input": "2024-11-29T15:16:18.497803Z",
+ "iopub.status.busy": "2024-11-29T15:16:18.497521Z",
+ "iopub.status.idle": "2024-11-29T15:27:54.461813Z",
+ "shell.execute_reply": "2024-11-29T15:27:54.461114Z"
}
},
"outputs": [
@@ -449,7 +459,7 @@
"-------------------------------\n",
"| iter | Cost |\n",
"-------------------------------\n",
- " 1 8.548705e-03\n"
+ " 1 1.961035e-03\n"
]
},
{
@@ -498,7 +508,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " 2 3.748082e-03\n"
+ " 2 1.605544e-03\n"
]
},
{
@@ -547,7 +557,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " 3 1.856451e-03\n"
+ " 3 9.692149e-04\n"
]
},
{
@@ -575,14 +585,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n"
+ " ~> Checking keyword/rubrique coherence"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " ~> Checking keyword/rubrique coherence"
+ "\n"
]
},
{
@@ -596,7 +606,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " 4 7.796101e-04\n"
+ " 4 1.521839e-05\n"
]
},
{
@@ -645,7 +655,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " 5 9.901405e-05\n"
+ " 5 1.521839e-05\n"
]
},
{
@@ -694,7 +704,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " 6 7.434919e-06\n"
+ " 6 4.593286e-06\n"
]
},
{
@@ -722,14 +732,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n"
+ " ~> Checking keyword/rubrique coherence"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " ~> Checking keyword/rubrique coherence"
+ "\n"
]
},
{
@@ -743,7 +753,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " 7 7.032690e-06\n"
+ " 7 5.737807e-07\n"
]
},
{
@@ -792,7 +802,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " 8 6.201835e-06\n"
+ " 8 6.818124e-08\n"
]
},
{
@@ -841,7 +851,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " 9 1.778982e-06\n"
+ " 9 1.777080e-09\n"
]
},
{
@@ -890,19 +900,19 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " 10 7.516612e-07\n",
+ " 10 1.777080e-09\n",
"-------------------------------------\n",
"\n",
"--> Maximum number of iterations: 10\n",
"-------------------------------------\n",
"\n",
- "--> Number of simulations: 471\n",
+ "--> Number of simulations: 459\n",
"-------------------------------------\n",
"\n",
"--> Best solution found:\n",
- "\t * cost function: 7.516612e-07\n",
+ "\t * cost function: 1.777080e-09\n",
"\t * solution:\t\n",
- "\t\t0: 34.9999572298714\n",
+ "\t\t0: 35.000000095114316\n",
"-------------------------------------\n",
"\n"
]
@@ -935,10 +945,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:31:15.722606Z",
- "iopub.status.busy": "2023-12-01T10:31:15.722412Z",
- "iopub.status.idle": "2023-12-01T10:31:15.726069Z",
- "shell.execute_reply": "2023-12-01T10:31:15.725537Z"
+ "iopub.execute_input": "2024-11-29T15:27:54.464529Z",
+ "iopub.status.busy": "2024-11-29T15:27:54.464313Z",
+ "iopub.status.idle": "2024-11-29T15:27:54.467910Z",
+ "shell.execute_reply": "2024-11-29T15:27:54.467474Z"
}
},
"outputs": [
@@ -946,16 +956,16 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "[[34.51937816]\n",
- " [34.78788229]\n",
- " [35.10588171]\n",
- " [34.95569766]\n",
- " [34.9943681 ]\n",
- " [35.00042298]\n",
- " [35.00040006]\n",
- " [35.00035278]\n",
- " [34.99989878]\n",
- " [34.99995723]]\n"
+ "[[34.88874363]\n",
+ " [35.09153941]\n",
+ " [34.9449376 ]\n",
+ " [35.00086574]\n",
+ " [35.00086574]\n",
+ " [35.00026129]\n",
+ " [34.99996735]\n",
+ " [35.00000385]\n",
+ " [35.0000001 ]\n",
+ " [35.0000001 ]]\n"
]
}
],
@@ -969,10 +979,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:31:15.728598Z",
- "iopub.status.busy": "2023-12-01T10:31:15.728447Z",
- "iopub.status.idle": "2023-12-01T10:31:15.731311Z",
- "shell.execute_reply": "2023-12-01T10:31:15.730916Z"
+ "iopub.execute_input": "2024-11-29T15:27:54.470411Z",
+ "iopub.status.busy": "2024-11-29T15:27:54.470209Z",
+ "iopub.status.idle": "2024-11-29T15:27:54.473348Z",
+ "shell.execute_reply": "2024-11-29T15:27:54.472762Z"
}
},
"outputs": [
@@ -980,16 +990,16 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "[[8.54870464e-03]\n",
- " [3.74808168e-03]\n",
- " [1.85645097e-03]\n",
- " [7.79610119e-04]\n",
- " [9.90140522e-05]\n",
- " [7.43491937e-06]\n",
- " [7.03269013e-06]\n",
- " [6.20183546e-06]\n",
- " [1.77898224e-06]\n",
- " [7.51661174e-07]]\n"
+ "[[1.96103525e-03]\n",
+ " [1.60554383e-03]\n",
+ " [9.69214909e-04]\n",
+ " [1.52183892e-05]\n",
+ " [1.52183892e-05]\n",
+ " [4.59328623e-06]\n",
+ " [5.73780719e-07]\n",
+ " [6.81812450e-08]\n",
+ " [1.77708037e-09]\n",
+ " [1.77708037e-09]]\n"
]
}
],
diff --git a/notebooks/optim/telemac2d_optim_newop.ipynb b/notebooks/optim/telemac2d_optim_newop.ipynb
index 361bd6bea5..3a6a21408c 100644
--- a/notebooks/optim/telemac2d_optim_newop.ipynb
+++ b/notebooks/optim/telemac2d_optim_newop.ipynb
@@ -27,10 +27,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:31:16.650726Z",
- "iopub.status.busy": "2023-12-01T10:31:16.650225Z",
- "iopub.status.idle": "2023-12-01T10:31:16.776581Z",
- "shell.execute_reply": "2023-12-01T10:31:16.775889Z"
+ "iopub.execute_input": "2024-11-29T15:27:55.608575Z",
+ "iopub.status.busy": "2024-11-29T15:27:55.608379Z",
+ "iopub.status.idle": "2024-11-29T15:27:55.752758Z",
+ "shell.execute_reply": "2024-11-29T15:27:55.752188Z"
}
},
"outputs": [],
@@ -57,10 +57,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:31:16.779303Z",
- "iopub.status.busy": "2023-12-01T10:31:16.779009Z",
- "iopub.status.idle": "2023-12-01T10:31:16.784327Z",
- "shell.execute_reply": "2023-12-01T10:31:16.783683Z"
+ "iopub.execute_input": "2024-11-29T15:27:55.755802Z",
+ "iopub.status.busy": "2024-11-29T15:27:55.755552Z",
+ "iopub.status.idle": "2024-11-29T15:27:55.760833Z",
+ "shell.execute_reply": "2024-11-29T15:27:55.760342Z"
}
},
"outputs": [
@@ -188,13 +188,23 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:31:16.786680Z",
- "iopub.status.busy": "2023-12-01T10:31:16.786443Z",
- "iopub.status.idle": "2023-12-01T10:31:17.204278Z",
- "shell.execute_reply": "2023-12-01T10:31:17.201865Z"
+ "iopub.execute_input": "2024-11-29T15:27:55.763584Z",
+ "iopub.status.busy": "2024-11-29T15:27:55.763388Z",
+ "iopub.status.idle": "2024-11-29T15:27:56.106900Z",
+ "shell.execute_reply": "2024-11-29T15:27:56.106192Z"
}
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\n",
+ "No protocol specified\n",
+ "No protocol specified\n"
+ ]
+ }
+ ],
"source": [
"from telapy.tools.study_t2d import StudyTelemac2D\n",
"import numpy as np\n",
@@ -222,10 +232,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:31:17.212364Z",
- "iopub.status.busy": "2023-12-01T10:31:17.211712Z",
- "iopub.status.idle": "2023-12-01T10:31:17.224575Z",
- "shell.execute_reply": "2023-12-01T10:31:17.222558Z"
+ "iopub.execute_input": "2024-11-29T15:27:56.109482Z",
+ "iopub.status.busy": "2024-11-29T15:27:56.109262Z",
+ "iopub.status.idle": "2024-11-29T15:27:56.113096Z",
+ "shell.execute_reply": "2024-11-29T15:27:56.112657Z"
}
},
"outputs": [],
@@ -252,10 +262,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:31:17.231277Z",
- "iopub.status.busy": "2023-12-01T10:31:17.230727Z",
- "iopub.status.idle": "2023-12-01T10:31:17.239614Z",
- "shell.execute_reply": "2023-12-01T10:31:17.237559Z"
+ "iopub.execute_input": "2024-11-29T15:27:56.115036Z",
+ "iopub.status.busy": "2024-11-29T15:27:56.114848Z",
+ "iopub.status.idle": "2024-11-29T15:27:56.117819Z",
+ "shell.execute_reply": "2024-11-29T15:27:56.117329Z"
}
},
"outputs": [],
@@ -270,10 +280,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:31:17.248116Z",
- "iopub.status.busy": "2023-12-01T10:31:17.247572Z",
- "iopub.status.idle": "2023-12-01T10:31:17.256483Z",
- "shell.execute_reply": "2023-12-01T10:31:17.254340Z"
+ "iopub.execute_input": "2024-11-29T15:27:56.119637Z",
+ "iopub.status.busy": "2024-11-29T15:27:56.119458Z",
+ "iopub.status.idle": "2024-11-29T15:27:56.122129Z",
+ "shell.execute_reply": "2024-11-29T15:27:56.121701Z"
}
},
"outputs": [],
@@ -290,10 +300,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:31:17.263131Z",
- "iopub.status.busy": "2023-12-01T10:31:17.262581Z",
- "iopub.status.idle": "2023-12-01T10:31:17.272345Z",
- "shell.execute_reply": "2023-12-01T10:31:17.270114Z"
+ "iopub.execute_input": "2024-11-29T15:27:56.123958Z",
+ "iopub.status.busy": "2024-11-29T15:27:56.123774Z",
+ "iopub.status.idle": "2024-11-29T15:27:56.126917Z",
+ "shell.execute_reply": "2024-11-29T15:27:56.126432Z"
}
},
"outputs": [],
@@ -316,10 +326,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:31:17.278977Z",
- "iopub.status.busy": "2023-12-01T10:31:17.278425Z",
- "iopub.status.idle": "2023-12-01T10:31:17.285818Z",
- "shell.execute_reply": "2023-12-01T10:31:17.283890Z"
+ "iopub.execute_input": "2024-11-29T15:27:56.128800Z",
+ "iopub.status.busy": "2024-11-29T15:27:56.128615Z",
+ "iopub.status.idle": "2024-11-29T15:27:56.131137Z",
+ "shell.execute_reply": "2024-11-29T15:27:56.130714Z"
}
},
"outputs": [],
@@ -340,10 +350,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:31:17.292030Z",
- "iopub.status.busy": "2023-12-01T10:31:17.291626Z",
- "iopub.status.idle": "2023-12-01T10:35:43.427775Z",
- "shell.execute_reply": "2023-12-01T10:35:43.426769Z"
+ "iopub.execute_input": "2024-11-29T15:27:56.132997Z",
+ "iopub.status.busy": "2024-11-29T15:27:56.132814Z",
+ "iopub.status.idle": "2024-11-29T15:32:44.613138Z",
+ "shell.execute_reply": "2024-11-29T15:32:44.612087Z"
}
},
"outputs": [
@@ -438,14 +448,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " ~> Checking keyword/rubrique coherence"
+ "\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\n"
+ " ~> Checking keyword/rubrique coherence"
]
},
{
@@ -522,14 +532,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n"
+ " ~> Checking keyword/rubrique coherence"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " ~> Checking keyword/rubrique coherence"
+ "\n"
]
},
{
@@ -550,14 +560,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n"
+ " ~> Checking keyword/rubrique coherence"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " ~> Checking keyword/rubrique coherence"
+ "\n"
]
},
{
@@ -804,13 +814,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "\n",
"At iterate 3 f= 4.20812D-05 |proj g|= 1.75604D-02\n"
]
},
@@ -818,7 +822,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "At iterate 3 f= 4.20812D-05 |proj g|= 1.75604D-02\n",
" ~> Checking keyword/rubrique coherence"
]
},
@@ -1219,7 +1222,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n",
+ "\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"At iterate 5 f= 1.45263D-08 |proj g|= 1.78092D-02\n",
" ys=-4.241E-08 -gs= 1.013E-06 BFGS update SKIPPED\n"
]
@@ -1228,6 +1237,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
+ "At iterate 5 f= 1.45263D-08 |proj g|= 1.78092D-02\n",
+ " ys=-4.241E-08 -gs= 1.013E-06 BFGS update SKIPPED\n",
" ~> Checking keyword/rubrique coherence"
]
},
@@ -1708,10 +1719,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:35:43.430983Z",
- "iopub.status.busy": "2023-12-01T10:35:43.430675Z",
- "iopub.status.idle": "2023-12-01T10:35:43.434510Z",
- "shell.execute_reply": "2023-12-01T10:35:43.434053Z"
+ "iopub.execute_input": "2024-11-29T15:32:44.616076Z",
+ "iopub.status.busy": "2024-11-29T15:32:44.615845Z",
+ "iopub.status.idle": "2024-11-29T15:32:44.619428Z",
+ "shell.execute_reply": "2024-11-29T15:32:44.618885Z"
}
},
"outputs": [
@@ -1733,10 +1744,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:35:43.436576Z",
- "iopub.status.busy": "2023-12-01T10:35:43.436402Z",
- "iopub.status.idle": "2023-12-01T10:35:43.439410Z",
- "shell.execute_reply": "2023-12-01T10:35:43.438955Z"
+ "iopub.execute_input": "2024-11-29T15:32:44.621478Z",
+ "iopub.status.busy": "2024-11-29T15:32:44.621267Z",
+ "iopub.status.idle": "2024-11-29T15:32:44.624286Z",
+ "shell.execute_reply": "2024-11-29T15:32:44.623786Z"
}
},
"outputs": [
diff --git a/notebooks/postel/amp2wave.ipynb b/notebooks/postel/amp2wave.ipynb
index fae1a982b1..22118c1269 100644
--- a/notebooks/postel/amp2wave.ipynb
+++ b/notebooks/postel/amp2wave.ipynb
@@ -16,10 +16,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:35:44.505467Z",
- "iopub.status.busy": "2023-12-01T10:35:44.504819Z",
- "iopub.status.idle": "2023-12-01T10:35:44.977087Z",
- "shell.execute_reply": "2023-12-01T10:35:44.975293Z"
+ "iopub.execute_input": "2024-11-29T15:32:45.788148Z",
+ "iopub.status.busy": "2024-11-29T15:32:45.787870Z",
+ "iopub.status.idle": "2024-11-29T15:32:46.246332Z",
+ "shell.execute_reply": "2024-11-29T15:32:46.245697Z"
}
},
"outputs": [
@@ -31,7 +31,13 @@
"\r\n",
"Interpreting command line options\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
- "\r\n",
+ "\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"usage: run_telfile.py amp2wave [-h] [--start-time START_TIME]\r\n",
" [--time-step TIME_STEP] [--end-time END_TIME]\r\n",
" [--force]\r\n",
@@ -70,10 +76,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:35:44.984365Z",
- "iopub.status.busy": "2023-12-01T10:35:44.984182Z",
- "iopub.status.idle": "2023-12-01T10:35:53.645275Z",
- "shell.execute_reply": "2023-12-01T10:35:53.642870Z"
+ "iopub.execute_input": "2024-11-29T15:32:46.248682Z",
+ "iopub.status.busy": "2024-11-29T15:32:46.248469Z",
+ "iopub.status.idle": "2024-11-29T15:32:53.623347Z",
+ "shell.execute_reply": "2024-11-29T15:32:53.622695Z"
}
},
"outputs": [
@@ -85,13 +91,7 @@
"\r\n",
"Interpreting command line options\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
- "\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "\r\n",
"\r\n",
" > Input signal based on:\r\n",
" - 1 direction(s)\r\n",
@@ -108,287 +108,287 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "[ ] 1% | 8s\r"
+ "[ ] 1% | 7s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\ ] 2% | 9s\r"
+ "[\\ ] 2% | 7s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\ ] 3% | 9s\r"
+ "[\\ ] 3% | 7s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\ ] 4% | 9s\r"
+ "[\\\\ ] 4% | 7s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\ ] 5% | 9s\r"
+ "[\\\\\\ ] 5% | 7s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\ ] 6% | 9s\r"
+ "[\\\\\\ ] 6% | 7s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\\\ ] 7% | 9s\r"
+ "[\\\\\\\\ ] 7% | 7s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\\\\\ ] 8% | 9s\r"
+ "[\\\\\\\\\\ ] 8% | 7s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\\\\\ ] 9% | 9s\r"
+ "[\\\\\\\\\\ ] 9% | 7s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\\\\\\\ ] 10% | 9s\r"
+ "[\\\\\\\\\\\\ ] 10% | 7s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\\\\\\\\\ ] 11% | 9s\r"
+ "[\\\\\\\\\\\\\\ ] 11% | 7s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\\\\\\\\\ ] 12% | 8s\r"
+ "[\\\\\\\\\\\\\\ ] 12% | 7s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\\\\\\\\\\\ ] 13% | 8s\r"
+ "[\\\\\\\\\\\\\\\\ ] 13% | 6s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\\\\\\\\\\\\\ ] 14% | 8s\r"
+ "[\\\\\\\\\\\\\\\\\\ ] 14% | 6s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\\\\\\\\\\\\\ ] 15% | 8s\r"
+ "[\\\\\\\\\\\\\\\\\\ ] 15% | 6s\r"
]
},
{
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@@ -605,35 +605,35 @@
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 73% | 2s\r"
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 74% | 2s\r"
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 75% | 2s\r"
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 76% | 2s\r"
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@@ -703,21 +703,21 @@
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 87% | 1s\r"
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 88% | 1s\r"
]
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{
@@ -828,10 +828,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:35:53.653680Z",
- "iopub.status.busy": "2023-12-01T10:35:53.653037Z",
- "iopub.status.idle": "2023-12-01T10:35:54.325789Z",
- "shell.execute_reply": "2023-12-01T10:35:54.325117Z"
+ "iopub.execute_input": "2024-11-29T15:32:53.626499Z",
+ "iopub.status.busy": "2024-11-29T15:32:53.626285Z",
+ "iopub.status.idle": "2024-11-29T15:32:54.295066Z",
+ "shell.execute_reply": "2024-11-29T15:32:54.294384Z"
}
},
"outputs": [
@@ -873,10 +873,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:35:54.328817Z",
- "iopub.status.busy": "2023-12-01T10:35:54.328506Z",
- "iopub.status.idle": "2023-12-01T10:35:55.235377Z",
- "shell.execute_reply": "2023-12-01T10:35:55.232919Z"
+ "iopub.execute_input": "2024-11-29T15:32:54.298218Z",
+ "iopub.status.busy": "2024-11-29T15:32:54.297897Z",
+ "iopub.status.idle": "2024-11-29T15:32:55.264336Z",
+ "shell.execute_reply": "2024-11-29T15:32:55.263588Z"
}
},
"outputs": [
@@ -904,7 +904,7 @@
" - Number of points: 842\r\n",
" - Number of elements: 1394\r\n",
" - Number of points per element: 3\r\n",
- " - Number of planes: 1\r\n",
+ " - Number of planes: 0\r\n",
"\r\n",
" +> Coordinates\r\n",
"\r\n",
@@ -2366,7 +2366,13 @@
" +> Time: 10142.900390625s min, max: [-0.07800871878862381, 0.0726906806230545]\r\n",
" +> Time: 10143.0s min, max: [-0.0740700513124466, 0.07484370470046997]\r\n",
" +> Time: 10143.099609375s min, max: [-0.07094837725162506, 0.07662667334079742]\r\n",
- " +> Time: 10143.2001953125s min, max: [-0.06719661504030228, 0.07806628197431564]\r\n",
+ " +> Time: 10143.2001953125s min, max: [-0.06719661504030228, 0.07806628197431564]\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" +> Time: 10143.2998046875s min, max: [-0.06281547993421555, 0.07934635132551193]\r\n",
" +> Time: 10143.400390625s min, max: [-0.0578981414437294, 0.08791157603263855]\r\n",
" +> Time: 10143.5s min, max: [-0.055020153522491455, 0.08817583322525024]\r\n",
@@ -2565,13 +2571,7 @@
" +> Time: 10162.7998046875s min, max: [-0.06801699846982956, 0.07917564362287521]\r\n",
" +> Time: 10162.900390625s min, max: [-0.07183250039815903, 0.07731418311595917]\r\n",
" +> Time: 10163.0s min, max: [-0.07499323040246964, 0.07494097203016281]\r\n",
- " +> Time: 10163.099609375s min, max: [-0.07752011716365814, 0.07202519476413727]\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " +> Time: 10163.099609375s min, max: [-0.07752011716365814, 0.07202519476413727]\r\n",
" +> Time: 10163.2001953125s min, max: [-0.07946234196424484, 0.0686204731464386]\r\n",
" +> Time: 10163.2998046875s min, max: [-0.08161123096942902, 0.06482383608818054]\r\n",
" +> Time: 10163.400390625s min, max: [-0.08474747091531754, 0.06070539355278015]\r\n",
@@ -4403,13 +4403,7 @@
" +> Time: 10346.0s min, max: [-0.07202894240617752, 0.09162173420190811]\r\n",
" +> Time: 10346.099609375s min, max: [-0.07269564270973206, 0.09010926634073257]\r\n",
" +> Time: 10346.2001953125s min, max: [-0.07325838506221771, 0.0886138379573822]\r\n",
- " +> Time: 10346.2998046875s min, max: [-0.07371821999549866, 0.08729927241802216]\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " +> Time: 10346.2998046875s min, max: [-0.07371821999549866, 0.08729927241802216]\r\n",
" +> Time: 10346.400390625s min, max: [-0.07401011139154434, 0.08572572469711304]\r\n",
" +> Time: 10346.5s min, max: [-0.0740559995174408, 0.08398673683404922]\r\n",
" +> Time: 10346.599609375s min, max: [-0.07379632443189621, 0.08186659961938858]\r\n",
@@ -5028,7 +5022,13 @@
" +> Time: 10407.900390625s min, max: [-0.1029336079955101, 0.13490626215934753]\r\n",
" +> Time: 10408.0s min, max: [-0.1020379513502121, 0.13311612606048584]\r\n",
" +> Time: 10408.099609375s min, max: [-0.10212919861078262, 0.13035081326961517]\r\n",
- " +> Time: 10408.2001953125s min, max: [-0.1034012958407402, 0.12666675448417664]\r\n",
+ " +> Time: 10408.2001953125s min, max: [-0.1034012958407402, 0.12666675448417664]\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" +> Time: 10408.2998046875s min, max: [-0.10726489126682281, 0.12218325585126877]\r\n",
" +> Time: 10408.400390625s min, max: [-0.11024949699640274, 0.11845125257968903]\r\n",
" +> Time: 10408.5s min, max: [-0.1145523190498352, 0.11514536291360855]\r\n",
@@ -7035,13 +7035,7 @@
" +> Time: 10608.599609375s min, max: [-0.11538376659154892, 0.12832243740558624]\r\n",
" +> Time: 10608.7001953125s min, max: [-0.11396040767431259, 0.12544457614421844]\r\n",
" +> Time: 10608.7998046875s min, max: [-0.11134965717792511, 0.12236513197422028]\r\n",
- " +> Time: 10608.900390625s min, max: [-0.10899382829666138, 0.12062202394008636]\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " +> Time: 10608.900390625s min, max: [-0.10899382829666138, 0.12062202394008636]\r\n",
" +> Time: 10609.0s min, max: [-0.10875405371189117, 0.11758370697498322]\r\n",
" +> Time: 10609.099609375s min, max: [-0.10835349559783936, 0.11541830748319626]\r\n",
" +> Time: 10609.2001953125s min, max: [-0.10768195986747742, 0.11555049568414688]\r\n",
@@ -7713,7 +7707,13 @@
" +> Time: 10675.7998046875s min, max: [-0.09130915254354477, 0.080686554312706]\r\n",
" +> Time: 10675.900390625s min, max: [-0.09090772271156311, 0.07903600484132767]\r\n",
" +> Time: 10676.0s min, max: [-0.09059804677963257, 0.07757283747196198]\r\n",
- " +> Time: 10676.099609375s min, max: [-0.0902545303106308, 0.07658328115940094]\r\n",
+ " +> Time: 10676.099609375s min, max: [-0.0902545303106308, 0.07658328115940094]\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" +> Time: 10676.2001953125s min, max: [-0.08956018835306168, 0.07621977478265762]\r\n",
" +> Time: 10676.2998046875s min, max: [-0.0890120267868042, 0.0752527117729187]\r\n",
" +> Time: 10676.400390625s min, max: [-0.08857519924640656, 0.073729507625103]\r\n",
@@ -9750,13 +9750,7 @@
" +> Time: 10879.5s min, max: [-0.06682229787111282, 0.07611449807882309]\r\n",
" +> Time: 10879.599609375s min, max: [-0.06590785831212997, 0.07574720680713654]\r\n",
" +> Time: 10879.7001953125s min, max: [-0.06482294946908951, 0.07509129494428635]\r\n",
- " +> Time: 10879.7998046875s min, max: [-0.06371757388114929, 0.07423549145460129]\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " +> Time: 10879.7998046875s min, max: [-0.06371757388114929, 0.07423549145460129]\r\n",
" +> Time: 10879.900390625s min, max: [-0.06236626207828522, 0.07319500297307968]\r\n",
" +> Time: 10880.0s min, max: [-0.061498697847127914, 0.07193509489297867]\r\n",
" +> Time: 10880.099609375s min, max: [-0.06339485198259354, 0.0704181045293808]\r\n",
@@ -10404,7 +10398,13 @@
" +> Time: 10944.2998046875s min, max: [-0.11592836678028107, 0.1404474526643753]\r\n",
" +> Time: 10944.400390625s min, max: [-0.11812962591648102, 0.137782484292984]\r\n",
" +> Time: 10944.5s min, max: [-0.1205308809876442, 0.13494428992271423]\r\n",
- " +> Time: 10944.599609375s min, max: [-0.12310918420553207, 0.13198567926883698]\r\n",
+ " +> Time: 10944.599609375s min, max: [-0.12310918420553207, 0.13198567926883698]\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" +> Time: 10944.7001953125s min, max: [-0.12530983984470367, 0.1289856880903244]\r\n",
" +> Time: 10944.7998046875s min, max: [-0.12713715434074402, 0.12602517008781433]\r\n",
" +> Time: 10944.900390625s min, max: [-0.1285867840051651, 0.12310700863599777]\r\n",
@@ -12407,13 +12407,7 @@
" +> Time: 11144.599609375s min, max: [-0.1048469990491867, 0.08378667384386063]\r\n",
" +> Time: 11144.7001953125s min, max: [-0.10699471086263657, 0.08919602632522583]\r\n",
" +> Time: 11144.7998046875s min, max: [-0.10950659960508347, 0.09369250386953354]\r\n",
- " +> Time: 11144.900390625s min, max: [-0.11258070915937424, 0.09726745635271072]\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " +> Time: 11144.900390625s min, max: [-0.11258070915937424, 0.09726745635271072]\r\n",
" +> Time: 11145.0s min, max: [-0.1149323433637619, 0.09999147802591324]\r\n",
" +> Time: 11145.099609375s min, max: [-0.11661740392446518, 0.10333501547574997]\r\n",
" +> Time: 11145.2001953125s min, max: [-0.11766834557056427, 0.10655907541513443]\r\n",
@@ -12620,7 +12614,13 @@
" +> Time: 11165.2998046875s min, max: [-0.09541669487953186, 0.09682956337928772]\r\n",
" +> Time: 11165.400390625s min, max: [-0.09256917983293533, 0.09723685681819916]\r\n",
" +> Time: 11165.5s min, max: [-0.08931957185268402, 0.09749796986579895]\r\n",
- " +> Time: 11165.599609375s min, max: [-0.08578834682703018, 0.09762613475322723]\r\n",
+ " +> Time: 11165.599609375s min, max: [-0.08578834682703018, 0.09762613475322723]\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" +> Time: 11165.7001953125s min, max: [-0.08318818360567093, 0.0975911095738411]\r\n",
" +> Time: 11165.7998046875s min, max: [-0.08218478411436081, 0.0972752794623375]\r\n",
" +> Time: 11165.900390625s min, max: [-0.08068884164094925, 0.096475750207901]\r\n",
@@ -15084,13 +15084,7 @@
" +> Time: 11411.7001953125s min, max: [-0.09893010556697845, 0.12022282928228378]\r\n",
" +> Time: 11411.7998046875s min, max: [-0.10363614559173584, 0.11688901484012604]\r\n",
" +> Time: 11411.900390625s min, max: [-0.10793089866638184, 0.11290554702281952]\r\n",
- " +> Time: 11412.0s min, max: [-0.11337310820817947, 0.10843677073717117]\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " +> Time: 11412.0s min, max: [-0.11337310820817947, 0.10843677073717117]\r\n",
" +> Time: 11412.099609375s min, max: [-0.1179724633693695, 0.1050887331366539]\r\n",
" +> Time: 11412.2001953125s min, max: [-0.12177083641290665, 0.10202725976705551]\r\n",
" +> Time: 11412.2998046875s min, max: [-0.12474628537893295, 0.09855545312166214]\r\n",
@@ -15287,7 +15281,13 @@
" +> Time: 11431.400390625s min, max: [-0.08970526605844498, 0.08386734873056412]\r\n",
" +> Time: 11431.5s min, max: [-0.09062352031469345, 0.08095945417881012]\r\n",
" +> Time: 11431.599609375s min, max: [-0.09144839644432068, 0.07806649804115295]\r\n",
- " +> Time: 11431.7001953125s min, max: [-0.0920742005109787, 0.0752306804060936]\r\n",
+ " +> Time: 11431.7001953125s min, max: [-0.0920742005109787, 0.0752306804060936]\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" +> Time: 11431.7998046875s min, max: [-0.0924859493970871, 0.07248162478208542]\r\n",
" +> Time: 11431.900390625s min, max: [-0.09268021583557129, 0.0698186382651329]\r\n",
" +> Time: 11432.0s min, max: [-0.09264378249645233, 0.06722669303417206]\r\n",
@@ -17767,13 +17767,7 @@
" +> Time: 11679.400390625s min, max: [-0.0741143673658371, 0.07128365337848663]\r\n",
" +> Time: 11679.5s min, max: [-0.07286909967660904, 0.07124624401330948]\r\n",
" +> Time: 11679.599609375s min, max: [-0.07107134163379669, 0.0710473507642746]\r\n",
- " +> Time: 11679.7001953125s min, max: [-0.0699247270822525, 0.070705845952034]\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " +> Time: 11679.7001953125s min, max: [-0.0699247270822525, 0.070705845952034]\r\n",
" +> Time: 11679.7998046875s min, max: [-0.07195790112018585, 0.070278100669384]\r\n",
" +> Time: 11679.900390625s min, max: [-0.07277831435203552, 0.06939088553190231]\r\n",
" +> Time: 11680.0s min, max: [-0.07456125319004059, 0.06811004132032394]\r\n",
@@ -17904,7 +17898,13 @@
" +> Time: 11692.5s min, max: [-0.07110346108675003, 0.08084455877542496]\r\n",
" +> Time: 11692.599609375s min, max: [-0.07350213825702667, 0.07847020030021667]\r\n",
" +> Time: 11692.7001953125s min, max: [-0.0756189227104187, 0.07646668702363968]\r\n",
- " +> Time: 11692.7998046875s min, max: [-0.07735639065504074, 0.07428411394357681]\r\n",
+ " +> Time: 11692.7998046875s min, max: [-0.07735639065504074, 0.07428411394357681]\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" +> Time: 11692.900390625s min, max: [-0.07860977947711945, 0.07191218435764313]\r\n",
" +> Time: 11693.0s min, max: [-0.0793558806180954, 0.06933576613664627]\r\n",
" +> Time: 11693.099609375s min, max: [-0.07965628802776337, 0.06654412299394608]\r\n",
@@ -19531,7 +19531,13 @@
" +> Time: 11855.2001953125s min, max: [-0.13030046224594116, 0.12495052814483643]\r\n",
" +> Time: 11855.2998046875s min, max: [-0.12983226776123047, 0.12412373721599579]\r\n",
" +> Time: 11855.400390625s min, max: [-0.12916842103004456, 0.12350363284349442]\r\n",
- " +> Time: 11855.5s min, max: [-0.1283317506313324, 0.12298214435577393]\r\n",
+ " +> Time: 11855.5s min, max: [-0.1283317506313324, 0.12298214435577393]\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" +> Time: 11855.599609375s min, max: [-0.12728333473205566, 0.1224038377404213]\r\n",
" +> Time: 11855.7001953125s min, max: [-0.1259840875864029, 0.12159957736730576]\r\n",
" +> Time: 11855.7998046875s min, max: [-0.12443426996469498, 0.12050356715917587]\r\n",
@@ -20461,13 +20467,7 @@
" +> Time: 11948.2001953125s min, max: [-0.12722712755203247, 0.06958966702222824]\r\n",
" +> Time: 11948.2998046875s min, max: [-0.12699100375175476, 0.06917307525873184]\r\n",
" +> Time: 11948.400390625s min, max: [-0.12791204452514648, 0.06806019693613052]\r\n",
- " +> Time: 11948.5s min, max: [-0.12849077582359314, 0.06733212620019913]\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " +> Time: 11948.5s min, max: [-0.12849077582359314, 0.06733212620019913]\r\n",
" +> Time: 11948.599609375s min, max: [-0.12852562963962555, 0.06613846123218536]\r\n",
" +> Time: 11948.7001953125s min, max: [-0.12815658748149872, 0.06677625328302383]\r\n",
" +> Time: 11948.7998046875s min, max: [-0.1274263858795166, 0.06908884644508362]\r\n",
@@ -21070,7 +21070,13 @@
" +> Time: 12008.5s min, max: [-0.10834408551454544, 0.1389906108379364]\r\n",
" +> Time: 12008.599609375s min, max: [-0.10833091288805008, 0.14149007201194763]\r\n",
" +> Time: 12008.7001953125s min, max: [-0.11230988055467606, 0.14336203038692474]\r\n",
- " +> Time: 12008.7998046875s min, max: [-0.11706548929214478, 0.14655247330665588]\r\n",
+ " +> Time: 12008.7998046875s min, max: [-0.11706548929214478, 0.14655247330665588]\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" +> Time: 12008.900390625s min, max: [-0.12123257666826248, 0.14946497976779938]\r\n",
" +> Time: 12009.0s min, max: [-0.12426157295703888, 0.15150274336338043]\r\n",
" +> Time: 12009.099609375s min, max: [-0.12605981528759003, 0.15234921872615814]\r\n",
diff --git a/notebooks/postel/example_courlis.ipynb b/notebooks/postel/example_courlis.ipynb
index bbb588300c..93d3d2c15c 100644
--- a/notebooks/postel/example_courlis.ipynb
+++ b/notebooks/postel/example_courlis.ipynb
@@ -42,10 +42,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:35:56.469097Z",
- "iopub.status.busy": "2023-12-01T10:35:56.468388Z",
- "iopub.status.idle": "2023-12-01T10:36:05.532405Z",
- "shell.execute_reply": "2023-12-01T10:36:05.530100Z"
+ "iopub.execute_input": "2024-11-29T15:32:56.286473Z",
+ "iopub.status.busy": "2024-11-29T15:32:56.286224Z",
+ "iopub.status.idle": "2024-11-29T15:33:05.273673Z",
+ "shell.execute_reply": "2024-11-29T15:33:05.273033Z"
},
"scrolled": true
},
@@ -58,13 +58,7 @@
"\r\n",
"Loading Options and Configurations\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
- "\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "\r\n",
" _ \r\n",
" (_) \r\n",
" _ __ ___ __ _ _ _ __ \r\n",
@@ -72,7 +66,13 @@
" | | | | | || (_| || || | | |\r\n",
" |_| |_| |_| \\__,_||_||_| |_|\r\n",
" \r\n",
- " \r\n",
+ " \r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"\r\n",
"\r\n",
"Running your CAS file(s) for:\r\n",
@@ -130,13 +130,15 @@
"In /home/d60881/telemac/examples/courlis/Soni:\r\n",
"mpirun --use-hwthread-cpus -np 1 /home/d60881/telemac/builds/S11.gfortran.dyn/bin/mascaret\r\n",
"\r\n",
- "\r\n"
+ "\r\n",
+ "No protocol specified\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
+ "No protocol specified\r\n",
" Fichiercas : FichierCas.txt\r\n",
"\r\n",
" TELEMAC-MASCARET V8P4R0 == Copyright (C) 2000-2022 EDF-CEREMA ==\r\n",
@@ -206,11 +208,11 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " Simulation ended successfully in 7.39623594 s\r\n",
- " Simulation ended successfully in 7.39632511 s\r\n",
+ " Simulation ended successfully in 7.32074404 s\r\n",
+ " Simulation ended successfully in 7.32084799 s\r\n",
"\r\n",
" CPT_PLANIM = 10802\r\n",
- " TEMPS PASSE 7.40504694\r\n",
+ " TEMPS PASSE 7.32913399\r\n",
" FIN CORRECTE DU CALCUL\r\n",
"\r\n",
"... merging separated result files\r\n",
@@ -239,10 +241,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:05.539723Z",
- "iopub.status.busy": "2023-12-01T10:36:05.539568Z",
- "iopub.status.idle": "2023-12-01T10:36:09.891797Z",
- "shell.execute_reply": "2023-12-01T10:36:09.889428Z"
+ "iopub.execute_input": "2024-11-29T15:33:05.276705Z",
+ "iopub.status.busy": "2024-11-29T15:33:05.276506Z",
+ "iopub.status.idle": "2024-11-29T15:33:10.786807Z",
+ "shell.execute_reply": "2024-11-29T15:33:10.786115Z"
},
"scrolled": true
},
@@ -263,7 +265,13 @@
" | | | | | || (_| || || | | |\r\n",
" |_| |_| |_| \\__,_||_||_| |_|\r\n",
" \r\n",
- " \r\n",
+ " \r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"\r\n",
"\r\n",
"Running your CAS file(s) for:\r\n",
@@ -303,6 +311,9 @@
"\r\n",
"... handling temporary directories\r\n",
"~+> Creating FichierCas.txt\r\n",
+ "~+> Copying Abaques.txt\r\n",
+ "~+> Copying Controle.txt\r\n",
+ "~+> Copying dico_Courlis.txt\r\n",
"[ ] 0% | ---s\r",
" \r",
"[ ] 0% | ---s\r",
@@ -328,6 +339,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
+ "No protocol specified\r\n",
+ "No protocol specified\r\n",
" Fichiercas : FichierCas.txt\r\n",
"\r\n",
" TELEMAC-MASCARET V8P4R0 == Copyright (C) 2000-2022 EDF-CEREMA ==\r\n",
@@ -402,8 +415,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " Simulation ended successfully in 2.52835989 s\r\n",
- " Simulation ended successfully in 2.52882981 s\r\n"
+ " Simulation ended successfully in 3.65775394 s\r\n",
+ " Simulation ended successfully in 3.65823603 s\r\n"
]
},
{
@@ -412,7 +425,7 @@
"text": [
"\r\n",
" CPT_PLANIM = 3000\r\n",
- " TEMPS PASSE 2.63263202\r\n",
+ " TEMPS PASSE 3.72940302\r\n",
" FIN CORRECTE DU CALCUL\r\n",
"\r\n",
"... merging separated result files\r\n",
@@ -450,10 +463,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:09.900564Z",
- "iopub.status.busy": "2023-12-01T10:36:09.899908Z",
- "iopub.status.idle": "2023-12-01T10:36:10.005443Z",
- "shell.execute_reply": "2023-12-01T10:36:10.004807Z"
+ "iopub.execute_input": "2024-11-29T15:33:10.790080Z",
+ "iopub.status.busy": "2024-11-29T15:33:10.789849Z",
+ "iopub.status.idle": "2024-11-29T15:33:10.905593Z",
+ "shell.execute_reply": "2024-11-29T15:33:10.904944Z"
},
"scrolled": true
},
@@ -737,10 +750,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:10.008063Z",
- "iopub.status.busy": "2023-12-01T10:36:10.007795Z",
- "iopub.status.idle": "2023-12-01T10:36:10.016370Z",
- "shell.execute_reply": "2023-12-01T10:36:10.015890Z"
+ "iopub.execute_input": "2024-11-29T15:33:10.908101Z",
+ "iopub.status.busy": "2024-11-29T15:33:10.907762Z",
+ "iopub.status.idle": "2024-11-29T15:33:10.921867Z",
+ "shell.execute_reply": "2024-11-29T15:33:10.921365Z"
},
"scrolled": true
},
@@ -937,10 +950,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:10.018799Z",
- "iopub.status.busy": "2023-12-01T10:36:10.018626Z",
- "iopub.status.idle": "2023-12-01T10:36:10.023969Z",
- "shell.execute_reply": "2023-12-01T10:36:10.023577Z"
+ "iopub.execute_input": "2024-11-29T15:33:10.924563Z",
+ "iopub.status.busy": "2024-11-29T15:33:10.924308Z",
+ "iopub.status.idle": "2024-11-29T15:33:10.930804Z",
+ "shell.execute_reply": "2024-11-29T15:33:10.930202Z"
},
"scrolled": true
},
@@ -966,10 +979,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:10.026381Z",
- "iopub.status.busy": "2023-12-01T10:36:10.026208Z",
- "iopub.status.idle": "2023-12-01T10:36:10.033118Z",
- "shell.execute_reply": "2023-12-01T10:36:10.032595Z"
+ "iopub.execute_input": "2024-11-29T15:33:10.933418Z",
+ "iopub.status.busy": "2024-11-29T15:33:10.933227Z",
+ "iopub.status.idle": "2024-11-29T15:33:10.940539Z",
+ "shell.execute_reply": "2024-11-29T15:33:10.939889Z"
},
"scrolled": true
},
@@ -1115,10 +1128,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:10.035592Z",
- "iopub.status.busy": "2023-12-01T10:36:10.035418Z",
- "iopub.status.idle": "2023-12-01T10:36:10.039267Z",
- "shell.execute_reply": "2023-12-01T10:36:10.038884Z"
+ "iopub.execute_input": "2024-11-29T15:33:10.942811Z",
+ "iopub.status.busy": "2024-11-29T15:33:10.942567Z",
+ "iopub.status.idle": "2024-11-29T15:33:10.947213Z",
+ "shell.execute_reply": "2024-11-29T15:33:10.946612Z"
},
"scrolled": true
},
@@ -1151,17 +1164,17 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:10.041869Z",
- "iopub.status.busy": "2023-12-01T10:36:10.041721Z",
- "iopub.status.idle": "2023-12-01T10:36:10.406817Z",
- "shell.execute_reply": "2023-12-01T10:36:10.406398Z"
+ "iopub.execute_input": "2024-11-29T15:33:10.949507Z",
+ "iopub.status.busy": "2024-11-29T15:33:10.949266Z",
+ "iopub.status.idle": "2024-11-29T15:33:11.329041Z",
+ "shell.execute_reply": "2024-11-29T15:33:11.328393Z"
},
"scrolled": false
},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
"<Figure size 1000x800 with 1 Axes>"
]
@@ -1217,10 +1230,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:10.409504Z",
- "iopub.status.busy": "2023-12-01T10:36:10.409281Z",
- "iopub.status.idle": "2023-12-01T10:36:10.586550Z",
- "shell.execute_reply": "2023-12-01T10:36:10.586115Z"
+ "iopub.execute_input": "2024-11-29T15:33:11.331481Z",
+ "iopub.status.busy": "2024-11-29T15:33:11.331174Z",
+ "iopub.status.idle": "2024-11-29T15:33:11.529011Z",
+ "shell.execute_reply": "2024-11-29T15:33:11.528351Z"
},
"scrolled": false
},
@@ -1298,10 +1311,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:10.589648Z",
- "iopub.status.busy": "2023-12-01T10:36:10.589432Z",
- "iopub.status.idle": "2023-12-01T10:36:10.738615Z",
- "shell.execute_reply": "2023-12-01T10:36:10.738177Z"
+ "iopub.execute_input": "2024-11-29T15:33:11.531440Z",
+ "iopub.status.busy": "2024-11-29T15:33:11.531183Z",
+ "iopub.status.idle": "2024-11-29T15:33:11.692396Z",
+ "shell.execute_reply": "2024-11-29T15:33:11.691696Z"
},
"scrolled": true
},
@@ -1366,38 +1379,38 @@
" <tr>\n",
" <th>1</th>\n",
" <td>1202.0</td>\n",
- " <td>-482.546745</td>\n",
+ " <td>-487.240279</td>\n",
" <td>1000.0</td>\n",
- " <td>3.481512e-67</td>\n",
- " <td>425942.497188</td>\n",
+ " <td>3.481507e-67</td>\n",
+ " <td>427455.592843</td>\n",
" <td>0.0</td>\n",
- " <td>8.254703e+05</td>\n",
+ " <td>8.239039e+05</td>\n",
" <td>-0.000233</td>\n",
" <td>0.0</td>\n",
" <td>1403960.0</td>\n",
- " <td>5.229893e-66</td>\n",
- " <td>8.254703e+05</td>\n",
- " <td>425942.497188</td>\n",
- " <td>152547.250760</td>\n",
- " <td>0.184800</td>\n",
+ " <td>5.229887e-66</td>\n",
+ " <td>8.239039e+05</td>\n",
+ " <td>427455.592843</td>\n",
+ " <td>152600.488032</td>\n",
+ " <td>0.185216</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2402.0</td>\n",
- " <td>-270.428928</td>\n",
+ " <td>-278.042079</td>\n",
" <td>1000.0</td>\n",
- " <td>-5.255133e-09</td>\n",
- " <td>932287.566267</td>\n",
+ " <td>-5.698564e-09</td>\n",
+ " <td>940949.406668</td>\n",
" <td>0.0</td>\n",
- " <td>1.336775e+06</td>\n",
+ " <td>1.328447e+06</td>\n",
" <td>-0.000085</td>\n",
" <td>0.0</td>\n",
" <td>2603960.0</td>\n",
- " <td>-1.148312e-07</td>\n",
- " <td>1.336775e+06</td>\n",
- " <td>932287.566267</td>\n",
- " <td>334897.085832</td>\n",
- " <td>0.250526</td>\n",
+ " <td>-1.293084e-07</td>\n",
+ " <td>1.328447e+06</td>\n",
+ " <td>940949.406668</td>\n",
+ " <td>334563.120326</td>\n",
+ " <td>0.251845</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
@@ -1406,18 +1419,18 @@
"text/plain": [
" Timestep Erosion flux in bief Sediment flux entering in the bief \\\n",
"0 2.0 0.000000 4960.0 \n",
- "1 1202.0 -482.546745 1000.0 \n",
- "2 2402.0 -270.428928 1000.0 \n",
+ "1 1202.0 -487.240279 1000.0 \n",
+ "2 2402.0 -278.042079 1000.0 \n",
"\n",
" Sediment flux leaving in the bief Mass deposited in layer n°0 \\\n",
"0 0.000000e+00 0.000000 \n",
- "1 3.481512e-67 425942.497188 \n",
- "2 -5.255133e-09 932287.566267 \n",
+ "1 3.481507e-67 427455.592843 \n",
+ "2 -5.698564e-09 940949.406668 \n",
"\n",
" Mass deposited in layer n°1 Sediment mass in suspension \\\n",
"0 0.0 3.158385e+05 \n",
- "1 0.0 8.254703e+05 \n",
- "2 0.0 1.336775e+06 \n",
+ "1 0.0 8.239039e+05 \n",
+ "2 0.0 1.328447e+06 \n",
"\n",
" Relative error for mass budget \\\n",
"0 0.968592 \n",
@@ -1431,18 +1444,18 @@
"\n",
" Sediment mass entering in the bief Sediment mass leaving out the bief \\\n",
"0 9920.0 0.000000e+00 \n",
- "1 1403960.0 5.229893e-66 \n",
- "2 2603960.0 -1.148312e-07 \n",
+ "1 1403960.0 5.229887e-66 \n",
+ "2 2603960.0 -1.293084e-07 \n",
"\n",
" Sediment mass in suspension Deposited sediment mass in the bief \\\n",
"0 3.158385e+05 0.000000 \n",
- "1 8.254703e+05 425942.497188 \n",
- "2 1.336775e+06 932287.566267 \n",
+ "1 8.239039e+05 427455.592843 \n",
+ "2 1.328447e+06 940949.406668 \n",
"\n",
" Error on mass Global relative error \n",
"0 -305918.491635 -0.968592 \n",
- "1 152547.250760 0.184800 \n",
- "2 334897.085832 0.250526 "
+ "1 152600.488032 0.185216 \n",
+ "2 334563.120326 0.251845 "
]
},
"execution_count": 10,
@@ -1477,10 +1490,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:10.741257Z",
- "iopub.status.busy": "2023-12-01T10:36:10.741076Z",
- "iopub.status.idle": "2023-12-01T10:36:10.770979Z",
- "shell.execute_reply": "2023-12-01T10:36:10.769209Z"
+ "iopub.execute_input": "2024-11-29T15:33:11.694772Z",
+ "iopub.status.busy": "2024-11-29T15:33:11.694517Z",
+ "iopub.status.idle": "2024-11-29T15:33:11.729598Z",
+ "shell.execute_reply": "2024-11-29T15:33:11.728957Z"
},
"scrolled": true
},
@@ -1515,10 +1528,10 @@
"execution_count": 12,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:10.777588Z",
- "iopub.status.busy": "2023-12-01T10:36:10.777034Z",
- "iopub.status.idle": "2023-12-01T10:36:10.796960Z",
- "shell.execute_reply": "2023-12-01T10:36:10.795155Z"
+ "iopub.execute_input": "2024-11-29T15:33:11.732130Z",
+ "iopub.status.busy": "2024-11-29T15:33:11.731846Z",
+ "iopub.status.idle": "2024-11-29T15:33:11.739237Z",
+ "shell.execute_reply": "2024-11-29T15:33:11.738614Z"
},
"scrolled": true
},
@@ -1667,10 +1680,10 @@
"execution_count": 13,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:10.805277Z",
- "iopub.status.busy": "2023-12-01T10:36:10.804734Z",
- "iopub.status.idle": "2023-12-01T10:36:10.817080Z",
- "shell.execute_reply": "2023-12-01T10:36:10.814944Z"
+ "iopub.execute_input": "2024-11-29T15:33:11.742046Z",
+ "iopub.status.busy": "2024-11-29T15:33:11.741785Z",
+ "iopub.status.idle": "2024-11-29T15:33:11.746210Z",
+ "shell.execute_reply": "2024-11-29T15:33:11.745587Z"
},
"scrolled": true
},
@@ -1799,109 +1812,109 @@
"0.0;\" 1\";\"101.0\";8900.0;18.01199441465875;9.60918189113;0.5653717158516828;884.4172838120385;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;500.0245172776969 \n",
"0.0;\" 1\";\"102.0\";9000.0;18.005018410205405;9.24409418784;0.5599960370544274;892.8882594822189;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;500.0138868424678 \n",
"0.0;\" 1\";\"103.0\";9079.16854889;18.0;8.9464941025;0.554488129090196;901.7078089389641;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;499.9862759645861 \n",
- "2402.0;\" 1\";\" 1.0\";0.0;18.416988376474112;15.152017593;0.2588286152703307;386.3560445028696;10.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.0;100.0 \n",
- "2402.0;\" 1\";\" 2.0\";100.0;18.411653064182403;15.199557121950269;0.27364869060713715;379.3547751873841;8.251506975064077;0.0;5.847594914643158;5.847594914643171;-1.3906435236549264;0.0;0.0;0.0;0.08430107952503717;2.4273383973809703e-06;103.80993750559254 \n",
- "2402.0;\" 1\";\" 3.0\";200.0;18.40532242263969;15.139450548684836;0.2812235544350651;384.6176540890001;6.5508788984247746;0.0;2.3402889688832165;2.340288968883213;-0.7799794367114012;0.0;0.0;0.0;0.08880582032265896;2.6360548989365695e-06;108.16354378138494 \n",
- "2402.0;\" 1\";\" 4.0\";300.0;18.39894744775928;14.993177835982602;0.28870016778666796;389.8838829838814;5.153668508708023;0.0;0.8259340138328001;0.8259340138327984;-0.3763329649838978;0.0;0.0;0.0;0.09323566470156618;2.9160472572652093e-06;112.55954243476417 \n",
- "2402.0;\" 1\";\" 5.0\";400.0;18.392178885480305;14.86736136922637;0.2953237272352055;395.89394230515563;4.010556810483987;0.0;0.2515923812037136;0.2515923812037132;-0.12358122027876212;0.0;0.0;0.0;0.09718467578385721;3.1712315129855404e-06;116.91687463139796 \n",
- "2402.0;\" 1\";\" 6.0\";500.0;18.384793183776623;14.726061351139206;0.29781437338095806;404.04816800378165;2.859245364037786;0.0;0.07584837427707006;0.07584837427707018;-0.05336333627823478;0.0;0.0;0.0;0.09832258583036337;3.242765555978191e-06;120.33135196977031 \n",
- "2402.0;\" 1\";\" 7.0\";526.499310023;18.382637453920555;14.57020194759624;0.3010926275730066;407.3908796985852;2.5340574964942544;0.0;0.01898292074484384;0.018982920744843812;0.0;0.0;0.0;0.0;0.10045665798671778;3.3392789496389933e-06;122.66239041772565 \n",
- "2402.0;\" 1\";\" 8.0\";600.0;18.378191293843408;14.805600728524444;0.30766359845472635;407.7281817923456;1.8869860529531872;0.0;1.0197362014770335e-07;1.0197362014770351e-07;0.0;0.0;0.0;0.0;0.10465389858119394;0.005155822871750224;125.44311960163589 \n",
- "2402.0;\" 1\";\" 9.0\";700.0;18.37121505997438;14.9780648236;0.3157897875978189;409.4473500938565;0.7527296047655175;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.1110639592669;0.005949049277635793;129.29929171862875 \n",
- "2402.0;\" 1\";\" 10.0\";800.0;18.363674623586224;15.1337198866;0.32404861335183893;412.14355495159595;-0.03123373526481741;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.11662957352866156;0.006455269058576802;133.5545474839621 \n",
- "2402.0;\" 1\";\" 11.0\";900.0;18.355851517455235;15.2917915088;0.33187789906564635;415.36856788999904;-0.029400844483684345;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.12186451092666223;0.006939658816072564;137.85164764923917 \n",
- "2402.0;\" 1\";\" 12.0\";1000.0;18.347784421762938;15.4516575861;0.33939483938609766;418.80252560436617;-0.017590577814111198;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.12702462518198046;0.007594769780449483;142.1394159119859 \n",
- "2402.0;\" 1\";\" 13.0\";1100.0;18.33946924504771;15.590936385;0.34649344448860203;422.6637720435743;-0.0026060317128381813;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.1319331518372661;0.008065774355607774;146.45022623592334 \n",
- "2402.0;\" 1\";\" 14.0\";1200.0;18.331020690048547;15.7522350157;0.3530147857478821;427.056300899223;6.237274953497356e-05;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.13646325457217143;0.008692993381071058;150.75718856422228 \n",
- "2402.0;\" 1\";\" 15.0\";1300.0;18.322394685680905;15.8647986417;0.3589780430466704;431.9897314817578;5.8950823282327026e-05;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.1406067710914529;0.009091252827902617;155.07482842357805 \n",
- "2402.0;\" 1\";\" 16.0\";1400.0;18.313653207051722;15.7455041402;0.36435606324239084;437.5000616632812;4.727220422700729e-05;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.14434783251810338;0.00943857066767007;159.40580013593637 \n",
- "2402.0;\" 1\";\" 17.0\";1500.0;18.304684698517015;15.626259083;0.3687465921972626;443.6188493939625;2.4856867117300008e-05;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.14736341317792698;0.009689987925131375;163.58293894849433 \n",
- "2402.0;\" 1\";\" 18.0\";1585.01445465;18.29631656921553;15.496704102;0.37068954925118014;449.5874364109081;5.620697399649103e-06;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.14857445854471044;0.00980398376797799;166.65736415215312 \n",
- "2402.0;\" 1\";\" 19.0\";1600.0;18.295012814675626;15.541938117;0.37672315724154226;448.65836548443593;6.648283254594863e-07;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.1533351528274984;0.010402617997762379;169.0199959681265 \n",
- "2402.0;\" 1\";\" 20.0\";1700.0;18.28662749498394;15.6531846985;0.38496826885271473;447.9907435248747;-2.9261800684783996e-07;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.15916128903132074;0.010918955201331678;172.46222099681154 \n",
- "2402.0;\" 1\";\" 21.0\";1800.0;18.27732268479136;15.3654911628;0.3918320630289955;450.9771528685464;-6.494446451194661e-08;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.16376937076716988;0.011728364372503896;176.7073081874252 \n",
- "2402.0;\" 1\";\" 22.0\";1900.0;18.267326145373772;14.8986008347;0.39316901982294067;457.37347622817697;6.570126461700269e-09;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.1634566364734153;0.011253903266313326;179.8250813416434 \n",
- "2402.0;\" 1\";\" 23.0\";1905.13460465;18.266806400247503;14.872490883;0.39703926017292435;458.2279117417025;2.7194848335381613e-09;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.16664851248210774;0.011574210130133556;181.93447106850962 \n",
- "2402.0;\" 1\";\" 24.0\";2000.0;18.259424630502657;14.9770720712;0.39692197263682066;466.18954656049016;6.70087000091788e-10;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.16474604792678857;0.010985530327928147;185.0408744434547 \n",
- "2402.0;\" 1\";\" 25.0\";2100.0;18.25106051805495;15.0722810904;0.39837086567468083;474.51253307854154;1.233164341085891e-10;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.16408302821737775;0.010451266995678336;189.03196857598422 \n",
- "2402.0;\" 1\";\" 26.0\";2200.0;18.243059095963464;15.1385918511;0.39970279281210563;482.83863137958235;-2.1889250082333604e-12;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.16324455677178817;0.010441408659602193;192.99194943999385 \n",
- "2402.0;\" 1\";\" 27.0\";2300.0;18.235381658769057;15.1432126511;0.40115503194550406;490.7312544870094;-1.959475121487515e-12;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.16251587255523667;0.009958884990985115;196.85931207039354 \n",
- "2402.0;\" 1\";\" 28.0\";2400.0;18.228018215070993;15.0743642208;0.40282866827660985;498.0278168365556;-1.1610515685769693e-12;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.16205959823226743;0.009539006061604011;200.61988222097705 \n",
- "2402.0;\" 1\";\" 29.0\";2500.0;18.220139586037067;14.9794093043;0.40262647018750464;505.1465898542132;-1.8809551243887266e-13;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.16179942133498587;0.009114113511567932;203.385388400257 \n",
- "2402.0;\" 1\";\" 30.0\";2512.11017528;18.21928540007928;14.962735176;0.4052146640591773;506.69805274011566;-3.3007584974409777e-15;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.16385075563665005;0.0;205.32148122052524 \n",
- "2402.0;\" 1\";\" 31.0\";2600.0;18.213369573837454;14.7742262791;0.41273899402834163;504.01160833581014;1.4514777671928133e-14;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.16848198328692351;0.00966756358494393;208.0252442031288 \n",
- "2402.0;\" 1\";\" 32.0\";2700.0;18.20580803208661;14.5420180656;0.4199327189037271;503.31461401982733;1.0815615590802372e-15;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.17179033015576986;0.009883587058715339;211.35827432932604 \n",
- "2402.0;\" 1\";\" 33.0\";2800.0;18.198463738667023;14.3260003342;0.4249168786365788;505.01786075287424;-3.465424295811437e-16;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.17476047534132877;0.010021578576275655;214.5906130468337 \n",
- "2402.0;\" 1\";\" 34.0\";2900.0;18.191478306254684;14.1018661088;0.42768299334263193;509.05432767933956;-2.5158055102451212e-17;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.17593108484799622;0.01023841662036788;217.71387863592096 \n",
- "2402.0;\" 1\";\" 35.0\";3000.0;18.184900157094773;13.8830035865;0.42794784967362925;515.8780140421195;6.633045175555108e-17;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.17496896475669893;0.009931010461042628;220.76888680322736 \n",
- "2402.0;\" 1\";\" 36.0\";3100.0;18.17875173442605;13.660656029;0.4256106631941438;525.7411802821032;3.9803625311325665e-17;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.17173166439974735;0.00938078770007733;223.76105240833786 \n",
- "2402.0;\" 1\";\" 37.0\";3200.0;18.17313302027637;13.4343719624;0.4205427289140627;539.0072789530853;2.0876731760279246e-17;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.16632220617504692;0.008632257725449045;226.67559199547395 \n",
- "2402.0;\" 1\";\" 38.0\";3300.0;18.167374421968667;13.205280101;0.41165529440386667;555.7239895208183;1.2805620067098845e-17;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.1580970502740495;0.007647671439950893;228.76672251348378 \n",
- "2402.0;\" 1\";\" 39.0\";3319.80863201;18.16656619660982;13.167488098;0.41161665728580116;559.3977717951057;8.198747034261752e-18;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.1579137748475726;0.007587380223258331;230.2574409194268 \n",
- "2402.0;\" 1\";\" 40.0\";3400.0;18.16195409348243;13.1053776703;0.43026265346755693;540.0068782270167;4.088431915730129e-18;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.17187199378102105;0.00883254403490119;232.3447923166881 \n",
- "2402.0;\" 1\";\" 41.0\";3500.0;18.155660169840274;13.0212808889;0.445845227845694;526.7260933366294;1.9572944797366813e-18;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.18447544837870275;0.010194081672517114;234.83831509594185 \n",
- "2402.0;\" 1\";\" 42.0\";3600.0;18.14939726297341;12.939530857;0.4530791535109751;523.7839254028486;9.425582210509958e-19;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.19099401082757259;0.011199842319127977;237.31557754417835 \n",
- "2402.0;\" 1\";\" 43.0\";3700.0;18.143437304294878;12.8584164228;0.4508005446050157;531.8351941819473;4.495727639432405e-19;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.189624267714164;0.010882319226549699;239.7515951773361 \n",
- "2402.0;\" 1\";\" 44.0\";3800.0;18.138082185304217;12.7788714327;0.440070186739291;550.3052555416042;2.089964792393616e-19;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.18062632771885131;0.009976202782336166;242.172936569807 \n",
- "2402.0;\" 1\";\" 45.0\";3900.0;18.13306021492538;12.6981456275;0.4216989609833785;578.8728186095875;1.100847720755546e-19;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.16555662589854742;0.008442277753212012;244.11006614918279 \n",
- "2402.0;\" 1\";\" 46.0\";3945.67488827;18.13114886501056;12.628446579;0.41251401842674096;595.0699401223104;6.690076628868834e-20;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.15818130357560892;0.007314498833894839;245.4746922448144 \n",
- "2402.0;\" 1\";\" 47.0\";4000.0;18.12892426145362;12.7165820364;0.4144150108606459;596.5273330807212;3.300051410423915e-20;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.15932416904387287;0.00769295592728212;247.2098812173192 \n",
- "2402.0;\" 1\";\" 48.0\";4100.0;18.12437683315605;12.7648581766;0.4142522425361026;602.2311085685081;1.380080797145339e-20;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.15845817387403474;0.007491128993810457;249.47558724950758 \n",
- "2402.0;\" 1\";\" 49.0\";4200.0;18.119883336338606;12.8387776917;0.41329529150998606;609.2039625620981;5.624720363009454e-21;0.0;0.0;0.0;0.0;0.0;0.0;0.0;0.15698811743750526;0.007249142417955355;251.781129296141 \n",
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"\n"
]
}
@@ -1934,10 +1947,10 @@
"execution_count": 14,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:10.825610Z",
- "iopub.status.busy": "2023-12-01T10:36:10.825207Z",
- "iopub.status.idle": "2023-12-01T10:36:10.949072Z",
- "shell.execute_reply": "2023-12-01T10:36:10.948474Z"
+ "iopub.execute_input": "2024-11-29T15:33:11.748571Z",
+ "iopub.status.busy": "2024-11-29T15:33:11.748353Z",
+ "iopub.status.idle": "2024-11-29T15:33:11.882301Z",
+ "shell.execute_reply": "2024-11-29T15:33:11.881667Z"
},
"scrolled": true
},
@@ -2016,10 +2029,10 @@
"execution_count": 15,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:10.951550Z",
- "iopub.status.busy": "2023-12-01T10:36:10.951370Z",
- "iopub.status.idle": "2023-12-01T10:36:10.958940Z",
- "shell.execute_reply": "2023-12-01T10:36:10.958420Z"
+ "iopub.execute_input": "2024-11-29T15:33:11.884552Z",
+ "iopub.status.busy": "2024-11-29T15:33:11.884354Z",
+ "iopub.status.idle": "2024-11-29T15:33:11.892642Z",
+ "shell.execute_reply": "2024-11-29T15:33:11.891983Z"
},
"scrolled": true
},
@@ -2164,7 +2177,7 @@
"114.060300 18.235800 18.221300 18.221300 B\n",
"119.051300 17.110600 17.096000 17.096000 B\n",
"124.042200 15.664100 15.649600 15.649600 B\n",
- "129.033100 15.282400 15.267800 15.267800 B\n",
+ "129.033100 15.282300 15.267800 15.267800 B\n",
"134.024100 15.259900 15.245300 15.245300 B\n",
"139.015000 15.222300 15.207700 15.207700 B\n",
"144.005900 15.187600 15.173000 15.173000 B\n",
@@ -2175,30 +2188,30 @@
"168.960600 16.773400 16.758900 16.758900 B\n",
"173.951500 16.941200 16.926600 16.926600 B\n",
"178.942500 17.012900 16.998400 16.998400 B\n",
- "183.933400 17.053600 17.039000 17.039000 B\n",
- "188.924300 17.092400 17.077800 17.077800 B\n",
+ "183.933400 17.053500 17.039000 17.039000 B\n",
+ "188.924300 17.092300 17.077800 17.077800 B\n",
"193.915300 17.064300 17.049800 17.049800 B\n",
"198.906200 16.994700 16.980200 16.980200 B\n",
"203.897100 16.940800 16.926200 16.926200 B\n",
- "208.888100 16.883000 16.868400 16.868400 B\n",
+ "208.888100 16.882900 16.868400 16.868400 B\n",
"213.879000 16.875200 16.860700 16.860700 B\n",
"218.870000 16.801400 16.786900 16.786900 B\n",
- "223.860900 16.702100 16.687500 16.687500 B\n",
+ "223.860900 16.702000 16.687500 16.687500 B\n",
"228.851800 16.653200 16.638700 16.638700 B\n",
"233.842800 16.615800 16.601200 16.601200 B\n",
- "238.833700 16.617800 16.603200 16.603200 B\n",
- "243.824600 16.650200 16.635600 16.635600 B\n",
- "248.815600 16.730700 16.716100 16.716100 B\n",
- "253.806500 16.678600 16.664000 16.664000 B\n",
+ "238.833700 16.617700 16.603200 16.603200 B\n",
+ "243.824600 16.650100 16.635600 16.635600 B\n",
+ "248.815600 16.730600 16.716100 16.716100 B\n",
+ "253.806500 16.678500 16.664000 16.664000 B\n",
"258.797400 16.537400 16.522900 16.522900 B\n",
"263.788400 16.494200 16.479600 16.479600 B\n",
- "268.779300 16.499600 16.485000 16.485000 B\n",
+ "268.779300 16.499500 16.485000 16.485000 B\n",
"273.770200 16.495300 16.480700 16.480700 B\n",
- "278.761200 16.488700 16.474100 16.474100 B\n",
- "283.752100 16.521200 16.506600 16.506600 B\n",
+ "278.761200 16.488600 16.474100 16.474100 B\n",
+ "283.752100 16.521100 16.506600 16.506600 B\n",
"288.743000 16.558800 16.544200 16.544200 B\n",
- "293.734000 16.612200 16.597600 16.597600 B\n",
- "298.724900 16.706500 16.691900 16.691900 B\n",
+ "293.734000 16.612100 16.597600 16.597600 B\n",
+ "298.724900 16.706400 16.691900 16.691900 B\n",
"303.715800 16.804000 16.789500 16.789500 B\n",
"308.706800 16.901800 16.887200 16.887200 B\n",
"313.697700 16.980800 16.966200 16.966200 B\n",
@@ -2286,51 +2299,51 @@
"129.305000 21.188100 21.188100 21.188100 B\n",
"134.278300 20.116300 20.116300 20.116300 B\n",
"139.251500 19.204000 19.204000 19.204000 B\n",
- "144.224800 18.416100 18.412100 18.412100 B\n",
- "149.170400 17.644700 17.640700 17.640700 B\n",
- "154.116000 16.651300 16.647300 16.647300 B\n",
- "159.061600 15.443800 15.439700 15.439700 B\n",
- "164.007100 15.132900 15.128900 15.128900 B\n",
+ "144.224800 18.416200 18.412100 18.412100 B\n",
+ "149.170400 17.644800 17.640700 17.640700 B\n",
+ "154.116000 16.651400 16.647300 16.647300 B\n",
+ "159.061600 15.443900 15.439700 15.439700 B\n",
+ "164.007100 15.133000 15.128900 15.128900 B\n",
"168.952700 15.151400 15.147300 15.147300 B\n",
- "173.898300 15.155200 15.151200 15.151200 B\n",
- "178.843900 15.171800 15.167800 15.167800 B\n",
- "183.789500 15.765900 15.761900 15.761900 B\n",
- "188.735100 16.167600 16.163600 16.163600 B\n",
- "193.680700 16.404300 16.400200 16.400200 B\n",
+ "173.898300 15.155300 15.151200 15.151200 B\n",
+ "178.843900 15.171900 15.167800 15.167800 B\n",
+ "183.789500 15.766000 15.761900 15.761900 B\n",
+ "188.735100 16.167700 16.163600 16.163600 B\n",
+ "193.680700 16.404400 16.400200 16.400200 B\n",
"198.626300 16.554100 16.550000 16.550000 B\n",
- "203.571900 16.664600 16.660600 16.660600 B\n",
+ "203.571900 16.664700 16.660600 16.660600 B\n",
"208.517500 16.845800 16.841700 16.841700 B\n",
- "213.463100 16.937300 16.933300 16.933300 B\n",
- "218.408700 16.999000 16.995000 16.995000 B\n",
+ "213.463100 16.937400 16.933300 16.933300 B\n",
+ "218.408700 16.999100 16.995000 16.995000 B\n",
"223.354300 17.050700 17.046600 17.046600 B\n",
"228.299900 17.036700 17.032600 17.032600 B\n",
- "233.245500 17.008100 17.004100 17.004100 B\n",
+ "233.245500 17.008200 17.004100 17.004100 B\n",
"238.191100 16.986400 16.982300 16.982300 B\n",
"243.136700 16.946400 16.942300 16.942300 B\n",
"248.082300 16.934600 16.930500 16.930500 B\n",
- "253.027900 16.864600 16.860600 16.860600 B\n",
+ "253.027900 16.864700 16.860600 16.860600 B\n",
"257.973500 16.766900 16.762800 16.762800 B\n",
- "262.919100 16.705200 16.701100 16.701100 B\n",
+ "262.919100 16.705300 16.701100 16.701100 B\n",
"267.864700 16.649500 16.645400 16.645400 B\n",
- "272.810300 16.646200 16.642200 16.642200 B\n",
- "277.755900 16.642400 16.638400 16.638400 B\n",
- "282.701500 16.699000 16.695000 16.695000 B\n",
- "287.647100 16.639800 16.635800 16.635800 B\n",
- "292.592700 16.523900 16.519900 16.519900 B\n",
- "297.538300 16.493000 16.489000 16.489000 B\n",
- "302.483900 16.507700 16.503700 16.503700 B\n",
- "307.429500 16.513400 16.509400 16.509400 B\n",
+ "272.810300 16.646300 16.642200 16.642200 B\n",
+ "277.755900 16.642500 16.638400 16.638400 B\n",
+ "282.701500 16.699100 16.695000 16.695000 B\n",
+ "287.647100 16.639900 16.635800 16.635800 B\n",
+ "292.592700 16.524000 16.519900 16.519900 B\n",
+ "297.538300 16.493100 16.489000 16.489000 B\n",
+ "302.483900 16.507800 16.503700 16.503700 B\n",
+ "307.429500 16.513500 16.509400 16.509400 B\n",
"312.375100 16.516500 16.512400 16.512400 B\n",
"317.320700 16.550800 16.546700 16.546700 B\n",
- "322.266300 16.593200 16.589100 16.589100 B\n",
+ "322.266300 16.593300 16.589100 16.589100 B\n",
"327.211900 16.647000 16.642900 16.642900 B\n",
- "332.157500 16.737800 16.733800 16.733800 B\n",
- "337.103100 16.826700 16.822600 16.822600 B\n",
+ "332.157500 16.737900 16.733800 16.733800 B\n",
+ "337.103100 16.826800 16.822600 16.822600 B\n",
"342.048700 16.924000 16.919900 16.919900 B\n",
"346.994300 17.026900 17.022800 17.022800 B\n",
"351.939900 17.336000 17.331900 17.331900 B\n",
- "356.885300 17.891100 17.887100 17.887100 B\n",
- "361.830900 18.445400 18.441300 18.441300 B\n",
+ "356.885300 17.891200 17.887100 17.887100 B\n",
+ "361.830900 18.445500 18.441300 18.441300 B\n",
"366.776400 19.101100 19.101100 19.101100 B\n",
"371.722000 19.957400 19.957400 19.957400 B\n",
"371.722000 19.957400 19.957400 19.957400 B\n",
@@ -2454,13 +2467,13 @@
"321.956400 16.608500 16.607900 16.607900 B\n",
"326.861400 16.517600 16.517000 16.517000 B\n",
"331.766400 16.498900 16.498300 16.498300 B\n",
- "336.671400 16.522900 16.522300 16.522300 B\n",
- "341.576400 16.538600 16.538000 16.538000 B\n",
+ "336.671400 16.523000 16.522300 16.522300 B\n",
+ "341.576400 16.538700 16.538000 16.538000 B\n",
"346.481500 16.551300 16.550700 16.550700 B\n",
"351.386500 16.587400 16.586800 16.586800 B\n",
"356.291500 16.634600 16.634000 16.634000 B\n",
- "361.196500 16.688700 16.688100 16.688100 B\n",
- "366.101500 16.776000 16.775400 16.775400 B\n",
+ "361.196500 16.688800 16.688100 16.688100 B\n",
+ "366.101500 16.776100 16.775400 16.775400 B\n",
"371.006500 16.856300 16.855700 16.855700 B\n",
"375.911500 16.953100 16.952500 16.952500 B\n",
"380.816600 17.080000 17.079400 17.079400 B\n",
diff --git a/notebooks/postel/example_follium.ipynb b/notebooks/postel/example_follium.ipynb
index 50fedec6cc..a2dc71fc38 100644
--- a/notebooks/postel/example_follium.ipynb
+++ b/notebooks/postel/example_follium.ipynb
@@ -14,10 +14,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:11.973630Z",
- "iopub.status.busy": "2023-12-01T10:36:11.972923Z",
- "iopub.status.idle": "2023-12-01T10:36:12.682679Z",
- "shell.execute_reply": "2023-12-01T10:36:12.682226Z"
+ "iopub.execute_input": "2024-11-29T15:33:13.026691Z",
+ "iopub.status.busy": "2024-11-29T15:33:13.026501Z",
+ "iopub.status.idle": "2024-11-29T15:33:13.746348Z",
+ "shell.execute_reply": "2024-11-29T15:33:13.745850Z"
},
"scrolled": false
},
@@ -30,7 +30,7 @@
" in_crs_string = _prepare_from_proj_string(in_crs_string)\n",
"/home/d60881/opt2/python-3.9.17/arch/S11/gnu-10.2.1/lib/python3.9/site-packages/pyproj/crs/crs.py:141: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
" in_crs_string = _prepare_from_proj_string(in_crs_string)\n",
- "/tmp/ipykernel_589621/274051607.py:29: FutureWarning: This function is deprecated. See: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1\n",
+ "/tmp/ipykernel_1699314/274051607.py:29: FutureWarning: This function is deprecated. See: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1\n",
" res.tri.x, res.tri.y = pyproj.transform(lamb1, wgs84, res.tri.x, res.tri.y)\n"
]
},
@@ -51,7 +51,7 @@
" <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>\n",
" <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>\n",
" <script src="https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js"></script>\n",
- " <script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>\n",
+ " <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>\n",
" <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js"></script>\n",
" <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>\n",
" <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css"/>\n",
@@ -64,7 +64,7 @@
" <meta name="viewport" content="width=device-width,\n",
" initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n",
" <style>\n",
- " #map_cbcc06f63ba21e5c0bfe18cb20dc0d7f {\n",
+ " #map_f4d627321e4dc08f52ad739e557e6f65 {\n",
" position: relative;\n",
" width: 100.0%;\n",
" height: 100.0%;\n",
@@ -78,14 +78,14 @@
"<body>\n",
" \n",
" \n",
- " <div class="folium-map" id="map_cbcc06f63ba21e5c0bfe18cb20dc0d7f" ></div>\n",
+ " <div class="folium-map" id="map_f4d627321e4dc08f52ad739e557e6f65" ></div>\n",
" \n",
"</body>\n",
"<script>\n",
" \n",
" \n",
- " var map_cbcc06f63ba21e5c0bfe18cb20dc0d7f = L.map(\n",
- " "map_cbcc06f63ba21e5c0bfe18cb20dc0d7f",\n",
+ " var map_f4d627321e4dc08f52ad739e557e6f65 = L.map(\n",
+ " "map_f4d627321e4dc08f52ad739e557e6f65",\n",
" {\n",
" center: [48.897680900309275, -3.191666705546246],\n",
" crs: L.CRS.EPSG3857,\n",
@@ -94,48 +94,46 @@
" preferCanvas: false,\n",
" }\n",
" );\n",
- " L.control.scale().addTo(map_cbcc06f63ba21e5c0bfe18cb20dc0d7f);\n",
+ " L.control.scale().addTo(map_f4d627321e4dc08f52ad739e557e6f65);\n",
"\n",
" \n",
"\n",
" \n",
" \n",
- " var tile_layer_54000fcc9eac66160d8dc387211ea9ea = L.tileLayer(\n",
+ " var tile_layer_290ec12bd8a65fc28f13964affe5999c = L.tileLayer(\n",
" "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",\n",
" {"attribution": "Data by \\u0026copy; \\u003ca target=\\"_blank\\" href=\\"http://openstreetmap.org\\"\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\"_blank\\" href=\\"http://www.openstreetmap.org/copyright\\"\\u003eODbL\\u003c/a\\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n",
- " );\n",
+ " ).addTo(map_f4d627321e4dc08f52ad739e557e6f65);\n",
" \n",
" \n",
- " tile_layer_54000fcc9eac66160d8dc387211ea9ea.addTo(map_cbcc06f63ba21e5c0bfe18cb20dc0d7f);\n",
- " \n",
- " var marker_6ad43c28f4689dcf595d4097a51a8e17 = L.marker(\n",
+ " var marker_fe500239f3bf0f09ef952145dc4cd2e7 = L.marker(\n",
" [49.00008557415055, -3.333335014728368],\n",
" {}\n",
- " ).addTo(map_cbcc06f63ba21e5c0bfe18cb20dc0d7f);\n",
+ " ).addTo(map_f4d627321e4dc08f52ad739e557e6f65);\n",
" \n",
" \n",
- " var marker_afec7cbec8748e9768eb30aee77fb698 = L.marker(\n",
+ " var marker_d0f5fa61370b4a95f678bd216d68c28a = L.marker(\n",
" [48.795276226468, -3.049998396364124],\n",
" {}\n",
- " ).addTo(map_cbcc06f63ba21e5c0bfe18cb20dc0d7f);\n",
+ " ).addTo(map_f4d627321e4dc08f52ad739e557e6f65);\n",
" \n",
" \n",
- " var marker_55c600e0121acc62c54f5cd363efa7a7 = L.marker(\n",
+ " var marker_639d6fee7e88fe185467c6ce5c9894c5 = L.marker(\n",
" [48.795276226468, -3.333335014728368],\n",
" {}\n",
- " ).addTo(map_cbcc06f63ba21e5c0bfe18cb20dc0d7f);\n",
+ " ).addTo(map_f4d627321e4dc08f52ad739e557e6f65);\n",
" \n",
" \n",
- " var marker_fbed06ce4e933b495ade13eed1b6c1bd = L.marker(\n",
+ " var marker_4109eb864cb53c51aae02e4b821de170 = L.marker(\n",
" [49.00008557415055, -3.049998396364124],\n",
" {}\n",
- " ).addTo(map_cbcc06f63ba21e5c0bfe18cb20dc0d7f);\n",
+ " ).addTo(map_f4d627321e4dc08f52ad739e557e6f65);\n",
" \n",
"</script>\n",
"</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
],
"text/plain": [
- "<folium.folium.Map at 0x7f723d212b80>"
+ "<folium.folium.Map at 0x7fc1880dbaf0>"
]
},
"execution_count": 1,
@@ -213,10 +211,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:12.684704Z",
- "iopub.status.busy": "2023-12-01T10:36:12.684463Z",
- "iopub.status.idle": "2023-12-01T10:36:12.696575Z",
- "shell.execute_reply": "2023-12-01T10:36:12.696030Z"
+ "iopub.execute_input": "2024-11-29T15:33:13.749961Z",
+ "iopub.status.busy": "2024-11-29T15:33:13.749426Z",
+ "iopub.status.idle": "2024-11-29T15:33:13.759600Z",
+ "shell.execute_reply": "2024-11-29T15:33:13.759091Z"
}
},
"outputs": [
@@ -237,7 +235,7 @@
" <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>\n",
" <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>\n",
" <script src="https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js"></script>\n",
- " <script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>\n",
+ " <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>\n",
" <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js"></script>\n",
" <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>\n",
" <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css"/>\n",
@@ -250,7 +248,7 @@
" <meta name="viewport" content="width=device-width,\n",
" initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n",
" <style>\n",
- " #map_cbcc06f63ba21e5c0bfe18cb20dc0d7f {\n",
+ " #map_f4d627321e4dc08f52ad739e557e6f65 {\n",
" position: relative;\n",
" width: 100.0%;\n",
" height: 100.0%;\n",
@@ -264,14 +262,14 @@
"<body>\n",
" \n",
" \n",
- " <div class="folium-map" id="map_cbcc06f63ba21e5c0bfe18cb20dc0d7f" ></div>\n",
+ " <div class="folium-map" id="map_f4d627321e4dc08f52ad739e557e6f65" ></div>\n",
" \n",
"</body>\n",
"<script>\n",
" \n",
" \n",
- " var map_cbcc06f63ba21e5c0bfe18cb20dc0d7f = L.map(\n",
- " "map_cbcc06f63ba21e5c0bfe18cb20dc0d7f",\n",
+ " var map_f4d627321e4dc08f52ad739e557e6f65 = L.map(\n",
+ " "map_f4d627321e4dc08f52ad739e557e6f65",\n",
" {\n",
" center: [48.897680900309275, -3.191666705546246],\n",
" crs: L.CRS.EPSG3857,\n",
@@ -280,53 +278,49 @@
" preferCanvas: false,\n",
" }\n",
" );\n",
- " L.control.scale().addTo(map_cbcc06f63ba21e5c0bfe18cb20dc0d7f);\n",
+ " L.control.scale().addTo(map_f4d627321e4dc08f52ad739e557e6f65);\n",
"\n",
" \n",
"\n",
" \n",
" \n",
- " var tile_layer_54000fcc9eac66160d8dc387211ea9ea = L.tileLayer(\n",
+ " var tile_layer_290ec12bd8a65fc28f13964affe5999c = L.tileLayer(\n",
" "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",\n",
" {"attribution": "Data by \\u0026copy; \\u003ca target=\\"_blank\\" href=\\"http://openstreetmap.org\\"\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\"_blank\\" href=\\"http://www.openstreetmap.org/copyright\\"\\u003eODbL\\u003c/a\\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n",
- " );\n",
+ " ).addTo(map_f4d627321e4dc08f52ad739e557e6f65);\n",
" \n",
" \n",
- " tile_layer_54000fcc9eac66160d8dc387211ea9ea.addTo(map_cbcc06f63ba21e5c0bfe18cb20dc0d7f);\n",
- " \n",
- " var marker_6ad43c28f4689dcf595d4097a51a8e17 = L.marker(\n",
+ " var marker_fe500239f3bf0f09ef952145dc4cd2e7 = L.marker(\n",
" [49.00008557415055, -3.333335014728368],\n",
" {}\n",
- " ).addTo(map_cbcc06f63ba21e5c0bfe18cb20dc0d7f);\n",
+ " ).addTo(map_f4d627321e4dc08f52ad739e557e6f65);\n",
" \n",
" \n",
- " var marker_afec7cbec8748e9768eb30aee77fb698 = L.marker(\n",
+ " var marker_d0f5fa61370b4a95f678bd216d68c28a = L.marker(\n",
" [48.795276226468, -3.049998396364124],\n",
" {}\n",
- " ).addTo(map_cbcc06f63ba21e5c0bfe18cb20dc0d7f);\n",
+ " ).addTo(map_f4d627321e4dc08f52ad739e557e6f65);\n",
" \n",
" \n",
- " var marker_55c600e0121acc62c54f5cd363efa7a7 = L.marker(\n",
+ " var marker_639d6fee7e88fe185467c6ce5c9894c5 = L.marker(\n",
" [48.795276226468, -3.333335014728368],\n",
" {}\n",
- " ).addTo(map_cbcc06f63ba21e5c0bfe18cb20dc0d7f);\n",
+ " ).addTo(map_f4d627321e4dc08f52ad739e557e6f65);\n",
" \n",
" \n",
- " var marker_fbed06ce4e933b495ade13eed1b6c1bd = L.marker(\n",
+ " var marker_4109eb864cb53c51aae02e4b821de170 = L.marker(\n",
" [49.00008557415055, -3.049998396364124],\n",
" {}\n",
- " ).addTo(map_cbcc06f63ba21e5c0bfe18cb20dc0d7f);\n",
+ " ).addTo(map_f4d627321e4dc08f52ad739e557e6f65);\n",
" \n",
" \n",
- " var macro_element_b5c2083811650c067aef858de77f381a = L.tileLayer.wms(\n",
+ " var macro_element_c1b274da1f03ac4cac71a95c4a435cff = L.tileLayer.wms(\n",
" "http://noeyyrh6.hadam.hadroot.edf.fr:6080/arcgis/services/EXT/BDORTHO_France/MapServer/WMSServer",\n",
" {"attribution": "EDF", "format": "image/png", "layers": "0", "styles": "", "transparent": false, "version": "1.3.0"}\n",
- " );\n",
+ " ).addTo(map_f4d627321e4dc08f52ad739e557e6f65);\n",
" \n",
" \n",
- " macro_element_b5c2083811650c067aef858de77f381a.addTo(map_cbcc06f63ba21e5c0bfe18cb20dc0d7f);\n",
- " \n",
- " map_cbcc06f63ba21e5c0bfe18cb20dc0d7f.fitBounds(\n",
+ " map_f4d627321e4dc08f52ad739e557e6f65.fitBounds(\n",
" [[48.795276226468, -3.333335014728368], [49.00008557415055, -3.049998396364124]],\n",
" {"maxZoom": 100, "paddingBottomRight": [48.795276226468, -3.049998396364124], "paddingTopLeft": [49.00008557415055, -3.333335014728368]}\n",
" );\n",
@@ -335,7 +329,7 @@
"</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
],
"text/plain": [
- "<folium.folium.Map at 0x7f723d212b80>"
+ "<folium.folium.Map at 0x7fc1880dbaf0>"
]
},
"execution_count": 2,
@@ -368,10 +362,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:12.698465Z",
- "iopub.status.busy": "2023-12-01T10:36:12.698286Z",
- "iopub.status.idle": "2023-12-01T10:36:12.700850Z",
- "shell.execute_reply": "2023-12-01T10:36:12.700381Z"
+ "iopub.execute_input": "2024-11-29T15:33:13.761960Z",
+ "iopub.status.busy": "2024-11-29T15:33:13.761748Z",
+ "iopub.status.idle": "2024-11-29T15:33:13.764412Z",
+ "shell.execute_reply": "2024-11-29T15:33:13.763873Z"
}
},
"outputs": [],
diff --git a/notebooks/postel/example_mascaret.ipynb b/notebooks/postel/example_mascaret.ipynb
index 96046aab5b..4b7194ac05 100644
--- a/notebooks/postel/example_mascaret.ipynb
+++ b/notebooks/postel/example_mascaret.ipynb
@@ -19,10 +19,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:13.667874Z",
- "iopub.status.busy": "2023-12-01T10:36:13.667216Z",
- "iopub.status.idle": "2023-12-01T10:36:13.744053Z",
- "shell.execute_reply": "2023-12-01T10:36:13.743535Z"
+ "iopub.execute_input": "2024-11-29T15:33:14.668979Z",
+ "iopub.status.busy": "2024-11-29T15:33:14.668772Z",
+ "iopub.status.idle": "2024-11-29T15:33:14.725981Z",
+ "shell.execute_reply": "2024-11-29T15:33:14.725420Z"
},
"scrolled": true
},
@@ -31,7 +31,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "~> MascaretGeoFile: /home/d60881/telemac/examples/mascaret/Test6/geometrie\n",
+ "~> MascaretGeoFile: /home/d60881/telemac/examples/mascaret/06_Geometric_Terms/geometrie\n",
" - Reach #1 (Bief_1) with 30 sections\n",
" 1) Section #1 (prof1_1) at pk 0.000000\n",
" 2) Section #2 (prof1_2) at pk 50.000000\n",
@@ -64,7 +64,7 @@
" 29) Section #29 (prof1_29) at pk 1000.000000\n",
" 30) Section #30 (prof1_30) at pk 1500.000000\n",
"\n",
- "~> MascaretGeoFile: /home/d60881/telemac/examples/mascaret/Test15/mascaret0.geo\n",
+ "~> MascaretGeoFile: /home/d60881/telemac/examples/mascaret/15_Confluence/mascaret0_trans.geo\n",
" - Reach #1 (Bief_1) with 2 sections\n",
" 1) Section #1 (PK1) at pk 0.000000\n",
" 2) Section #2 (PK1bis) at pk 6.800000\n",
@@ -113,10 +113,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:13.746225Z",
- "iopub.status.busy": "2023-12-01T10:36:13.746011Z",
- "iopub.status.idle": "2023-12-01T10:36:14.897896Z",
- "shell.execute_reply": "2023-12-01T10:36:14.895023Z"
+ "iopub.execute_input": "2024-11-29T15:33:14.728093Z",
+ "iopub.status.busy": "2024-11-29T15:33:14.727865Z",
+ "iopub.status.idle": "2024-11-29T15:33:15.216487Z",
+ "shell.execute_reply": "2024-11-29T15:33:15.215754Z"
},
"scrolled": true
},
@@ -125,107 +125,70 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n",
- "\n",
- "Loading Options and Configurations\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- " _ \n",
- " (_) \n",
- " _ __ ___ __ _ _ _ __ \n",
- " | '_ ` _ \\ / _` || || '_ \\ \n",
- " | | | | | || (_| || || | | |\n",
- " |_| |_| |_| \\__,_||_||_| |_|\n",
- " \n",
- " \n",
- "\n",
- "\n",
- "Running your CAS file(s) for:\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- "\n",
- "\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- "S11.gfortran.dyn: \n",
- " \n",
- "\n",
- " +> Scibian 11 dynamic build using GFortran 10.2.1 and Open MPI.\n",
- "\n",
- " +> root: /home/d60881/telemac\n",
- " +> module: ad / api / artemis / bief\n",
- " damocles / gaia / gretel / hermes\n",
- " identify_liq_bnd / khione / mascaret / nestor\n",
- " parallel / partel / postel3d / special\n",
- " stbtel / telemac2d / telemac3d / tomawac\n",
- " waqtel\n",
- "\n",
- "\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- "\n",
- "... processing the steering file\n",
- "\n",
- "... checking parallelisation\n",
- "\n",
- "... handling temporary directories\n",
- "~+> Creating FichierCas.txt\n",
- " \n",
- "... checking the executable\n",
- "\n",
- "\n",
- "Running your simulation(s) :\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- "\n",
- "\n",
- "In /home/d60881/telemac/examples/mascaret/Test18:\n",
- "mpirun --use-hwthread-cpus -np 1 /home/d60881/telemac/builds/S11.gfortran.dyn/bin/mascaret\n",
- "\n",
- "\n",
- " Fichiercas : FichierCas.txt\n",
- "\n",
- " TELEMAC-MASCARET V8P4R0 == Copyright (C) 2000-2022 EDF-CEREMA ==\n",
- "\n",
- " Data File : sarap.xcas\n",
- "\n",
- " Study name : deversoir\n",
- "\n",
- " Hydraulic statistics (prior solve phase)\n",
- " ------ Geometric parameters ------\n",
- " Number of reach(es) = 1\n",
- " Number of cross-sections = 8\n",
- " Number of open boundaries = 2\n",
- " Number of junction(s) = 0\n",
- " Number of inflow(s) = 18\n",
- " Number of lateral weir(s) = 0\n",
- " Number of storage area(s) = 0\n",
- " Number of link(s) = 0\n",
- " Number of dam(s)/weir(s) = 0\n",
- " ------ Numerical parameters ------\n",
- " Number of 1D nodes (mesh) = 144\n",
- " Computation Kernel = 1\n",
- " Initial time step = 1.0E+00\n",
- " Variable time step? = 0\n",
- " Number of time steps = 2\n",
- "\n",
- " OptionCourlis F\n",
- " Start the Simulation...\n",
- " Simulation ended successfully in 1.93439946E-02 s\n",
- " TEMPS PASSE 1.93499997E-02\n",
- " FIN CORRECTE DU CALCUL\n",
- "\n",
- "... merging separated result files\n",
- "\n",
- "... handling result files\n",
- "\n",
- "... deleting working dir\n",
- "\n",
- "\n",
- "\n",
- "My work is done\n",
- "\n",
- "\n"
+ "[Errno 2] No such file or directory: '/home/d60881/telemac/examples/mascaret/Test18'\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\r\n",
+ "\r\n",
+ "Loading Options and Configurations\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " _ \r\n",
+ " (_) \r\n",
+ " _ __ ___ __ _ _ _ __ \r\n",
+ " | '_ ` _ \\ / _` || || '_ \\ \r\n",
+ " | | | | | || (_| || || | | |\r\n",
+ " |_| |_| |_| \\__,_||_||_| |_|\r\n",
+ " \r\n",
+ " \r\n",
+ "\r\n",
+ "\r\n",
+ "Running your CAS file(s) for:\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n",
+ "\r\n",
+ "\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n",
+ "S11.gfortran.dyn: \r\n",
+ " \r\n",
+ "\r\n",
+ " +> Scibian 11 dynamic build using GFortran 10.2.1 and Open MPI.\r\n",
+ "\r\n",
+ " +> root: /home/d60881/telemac\r\n",
+ " +> module: ad / api / artemis / bief\r\n",
+ " damocles / gaia / gretel / hermes\r\n",
+ " identify_liq_bnd / khione / mascaret / nestor\r\n",
+ " parallel / partel / postel3d / special\r\n",
+ " stbtel / telemac2d / telemac3d / tomawac\r\n",
+ " waqtel\r\n",
+ "\r\n",
+ "\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n",
+ "\r\n",
+ "... processing the steering file\r\n",
+ "Traceback (most recent call last):\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/mascaret.py\", line 9, in <module>\r\n",
+ " sys.exit(main('mascaret'))\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/runcode.py\", line 287, in main\r\n",
+ " run_study(cas_file, code_name, options)\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/execution/run_cas.py\", line 157, in run_study\r\n",
+ " my_study = Study(\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/execution/study.py\", line 56, in __init__\r\n",
+ " raise TelemacException(\r\n",
+ "utils.exceptions.TelemacException: Could not find your steering file :\r\n",
+ "sarap.xcas\r\n"
]
}
],
@@ -241,10 +204,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:14.907416Z",
- "iopub.status.busy": "2023-12-01T10:36:14.906658Z",
- "iopub.status.idle": "2023-12-01T10:36:16.342220Z",
- "shell.execute_reply": "2023-12-01T10:36:16.339283Z"
+ "iopub.execute_input": "2024-11-29T15:33:15.219335Z",
+ "iopub.status.busy": "2024-11-29T15:33:15.219124Z",
+ "iopub.status.idle": "2024-11-29T15:33:16.581560Z",
+ "shell.execute_reply": "2024-11-29T15:33:16.580888Z"
}
},
"outputs": [
@@ -252,108 +215,149 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n",
- "\n",
- "Loading Options and Configurations\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- " _ \n",
- " (_) \n",
- " _ __ ___ __ _ _ _ __ \n",
- " | '_ ` _ \\ / _` || || '_ \\ \n",
- " | | | | | || (_| || || | | |\n",
- " |_| |_| |_| \\__,_||_||_| |_|\n",
- " \n",
- " \n",
- "\n",
- "\n",
- "Running your CAS file(s) for:\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- "\n",
- "\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- "S11.gfortran.dyn: \n",
- " \n",
- "\n",
- " +> Scibian 11 dynamic build using GFortran 10.2.1 and Open MPI.\n",
- "\n",
- " +> root: /home/d60881/telemac\n",
- " +> module: ad / api / artemis / bief\n",
- " damocles / gaia / gretel / hermes\n",
- " identify_liq_bnd / khione / mascaret / nestor\n",
- " parallel / partel / postel3d / special\n",
- " stbtel / telemac2d / telemac3d / tomawac\n",
- " waqtel\n",
- "\n",
- "\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- "\n",
- "... processing the steering file\n",
- "\n",
- "... checking parallelisation\n",
- "\n",
- "... handling temporary directories\n",
- "~+> Creating FichierCas.txt\n",
- " \n",
- "... checking the executable\n",
- "\n",
- "\n",
- "Running your simulation(s) :\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- "\n",
- "\n",
- "In /home/d60881/telemac/examples/mascaret/Test26:\n",
- "mpirun --use-hwthread-cpus -np 1 /home/d60881/telemac/builds/S11.gfortran.dyn/bin/mascaret\n",
- "\n",
- "\n",
- " Fichiercas : FichierCas.txt\n",
- "\n",
- " TELEMAC-MASCARET V8P4R0 == Copyright (C) 2000-2022 EDF-CEREMA ==\n",
- "\n",
- " Data File : rezo.xcas\n",
- "\n",
- " Study name : Etude hydraulique1d\n",
- "\n",
- " Hydraulic statistics (prior solve phase)\n",
- " ------ Geometric parameters ------\n",
- " Number of reach(es) = 3\n",
- " Number of cross-sections = 6\n",
- " Number of open boundaries = 3\n",
- " Number of junction(s) = 1\n",
- " Number of inflow(s) = 0\n",
- " Number of lateral weir(s) = 0\n",
- " Number of storage area(s) = 3\n",
- " Number of link(s) = 5\n",
- " Number of dam(s)/weir(s) = 0\n",
- " ------ Numerical parameters ------\n",
- " Number of 1D nodes (mesh) = 63\n",
- " Computation Kernel = 2\n",
- " Initial time step = 1.0E+01\n",
- " Variable time step? = 0\n",
- " Reduced Momentum Equation?= 0\n",
- " Number of time steps = 1000\n",
- "\n",
- " OptionCourlis F\n",
- " Start the Simulation...\n",
- " Simulation ended successfully in 0.183047995 s\n",
- " TEMPS PASSE 0.183457002\n",
- " FIN CORRECTE DU CALCUL\n",
- "\n",
- "... merging separated result files\n",
- "\n",
- "... handling result files\n",
- "\n",
- "... deleting working dir\n",
- "\n",
- "\n",
- "\n",
- "My work is done\n",
- "\n",
- "\n"
+ "\r\n",
+ "\r\n",
+ "Loading Options and Configurations\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " _ \r\n",
+ " (_) \r\n",
+ " _ __ ___ __ _ _ _ __ \r\n",
+ " | '_ ` _ \\ / _` || || '_ \\ \r\n",
+ " | | | | | || (_| || || | | |\r\n",
+ " |_| |_| |_| \\__,_||_||_| |_|\r\n",
+ " \r\n",
+ " \r\n",
+ "\r\n",
+ "\r\n",
+ "Running your CAS file(s) for:\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n",
+ "\r\n",
+ "\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n",
+ "S11.gfortran.dyn: \r\n",
+ " \r\n",
+ "\r\n",
+ " +> Scibian 11 dynamic build using GFortran 10.2.1 and Open MPI.\r\n",
+ "\r\n",
+ " +> root: /home/d60881/telemac\r\n",
+ " +> module: ad / api / artemis / bief\r\n",
+ " damocles / gaia / gretel / hermes\r\n",
+ " identify_liq_bnd / khione / mascaret / nestor\r\n",
+ " parallel / partel / postel3d / special\r\n",
+ " stbtel / telemac2d / telemac3d / tomawac\r\n",
+ " waqtel\r\n",
+ "\r\n",
+ "\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n",
+ "\r\n",
+ "... processing the steering file\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\r\n",
+ "... checking parallelisation\r\n",
+ "\r\n",
+ "... handling temporary directories\r\n",
+ "~+> Creating FichierCas.txt\r\n",
+ "~+> Copying Abaques.txt\r\n",
+ "~+> Copying Controle.txt\r\n",
+ "~+> Copying dico_Courlis.txt\r\n",
+ "[ ] 0% | ---s\r",
+ " \r",
+ "[ ] 0% | ---s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 25% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 50% | 1s\r",
+ " \r",
+ "\r\n",
+ "... checking the executable\r\n",
+ "\r\n",
+ "\r\n",
+ "Running your simulation(s) :\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n",
+ "\r\n",
+ "\r\n",
+ "In /home/d60881/telemac/examples/mascaret/Test26:\r\n",
+ "mpirun --use-hwthread-cpus -np 1 /home/d60881/telemac/builds/S11.gfortran.dyn/bin/mascaret\r\n",
+ "\r\n",
+ "\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\r\n",
+ "No protocol specified\r\n",
+ " Fichiercas : FichierCas.txt\r\n",
+ "\r\n",
+ " TELEMAC-MASCARET V8P4R0 == Copyright (C) 2000-2022 EDF-CEREMA ==\r\n",
+ "\r\n",
+ " Data File : rezo.xcas\r\n",
+ "\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Study name : Etude hydraulique1d\r\n",
+ "\r\n",
+ " Hydraulic statistics (prior solve phase)\r\n",
+ " ------ Geometric parameters ------\r\n",
+ " Number of reach(es) = 3\r\n",
+ " Number of cross-sections = 6\r\n",
+ " Number of open boundaries = 3\r\n",
+ " Number of junction(s) = 1\r\n",
+ " Number of inflow(s) = 0\r\n",
+ " Number of lateral weir(s) = 0\r\n",
+ " Number of storage area(s) = 3\r\n",
+ " Number of link(s) = 5\r\n",
+ " Number of dam(s)/weir(s) = 0\r\n",
+ " ------ Numerical parameters ------\r\n",
+ " Number of 1D nodes (mesh) = 63\r\n",
+ " Computation Kernel = 2\r\n",
+ " Initial time step = 1.0E+01\r\n",
+ " Variable time step? = 0\r\n",
+ " Reduced Momentum Equation?= 0\r\n",
+ " Number of time steps = 1000\r\n",
+ "\r\n",
+ " OptionCourlis F\r\n",
+ " Start the Simulation...\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Simulation ended successfully in 0.186846986 s\r\n",
+ " TEMPS PASSE 0.187345996\r\n",
+ " FIN CORRECTE DU CALCUL\r\n",
+ "\r\n",
+ "... merging separated result files\r\n",
+ "\r\n",
+ "... handling result files\r\n",
+ "\r\n",
+ "... deleting working dir\r\n",
+ "\r\n",
+ "\r\n",
+ "\r\n",
+ "My work is done\r\n",
+ "\r\n",
+ "\r\n"
]
}
],
@@ -369,10 +373,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:16.351979Z",
- "iopub.status.busy": "2023-12-01T10:36:16.351213Z",
- "iopub.status.idle": "2023-12-01T10:36:16.416067Z",
- "shell.execute_reply": "2023-12-01T10:36:16.415471Z"
+ "iopub.execute_input": "2024-11-29T15:33:16.583986Z",
+ "iopub.status.busy": "2024-11-29T15:33:16.583740Z",
+ "iopub.status.idle": "2024-11-29T15:33:16.613053Z",
+ "shell.execute_reply": "2024-11-29T15:33:16.612563Z"
},
"scrolled": true
},
@@ -578,10 +582,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:16.418052Z",
- "iopub.status.busy": "2023-12-01T10:36:16.417894Z",
- "iopub.status.idle": "2023-12-01T10:36:16.423578Z",
- "shell.execute_reply": "2023-12-01T10:36:16.423201Z"
+ "iopub.execute_input": "2024-11-29T15:33:16.614947Z",
+ "iopub.status.busy": "2024-11-29T15:33:16.614736Z",
+ "iopub.status.idle": "2024-11-29T15:33:16.620052Z",
+ "shell.execute_reply": "2024-11-29T15:33:16.619655Z"
}
},
"outputs": [
@@ -608,10 +612,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:16.426125Z",
- "iopub.status.busy": "2023-12-01T10:36:16.425941Z",
- "iopub.status.idle": "2023-12-01T10:36:16.430375Z",
- "shell.execute_reply": "2023-12-01T10:36:16.429865Z"
+ "iopub.execute_input": "2024-11-29T15:33:16.622162Z",
+ "iopub.status.busy": "2024-11-29T15:33:16.621955Z",
+ "iopub.status.idle": "2024-11-29T15:33:16.626169Z",
+ "shell.execute_reply": "2024-11-29T15:33:16.625775Z"
}
},
"outputs": [
@@ -656,10 +660,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:16.432771Z",
- "iopub.status.busy": "2023-12-01T10:36:16.432599Z",
- "iopub.status.idle": "2023-12-01T10:36:16.436230Z",
- "shell.execute_reply": "2023-12-01T10:36:16.435849Z"
+ "iopub.execute_input": "2024-11-29T15:33:16.628753Z",
+ "iopub.status.busy": "2024-11-29T15:33:16.628563Z",
+ "iopub.status.idle": "2024-11-29T15:33:16.632042Z",
+ "shell.execute_reply": "2024-11-29T15:33:16.631648Z"
}
},
"outputs": [
@@ -691,10 +695,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:16.438786Z",
- "iopub.status.busy": "2023-12-01T10:36:16.438616Z",
- "iopub.status.idle": "2023-12-01T10:36:16.812549Z",
- "shell.execute_reply": "2023-12-01T10:36:16.812070Z"
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+ "iopub.status.busy": "2024-11-29T15:33:16.634497Z",
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+ "shell.execute_reply": "2024-11-29T15:33:17.029746Z"
}
},
"outputs": [
@@ -756,10 +760,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:16.815313Z",
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- "shell.execute_reply": "2023-12-01T10:36:17.130622Z"
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+ "shell.execute_reply": "2024-11-29T15:33:17.385581Z"
}
},
"outputs": [
@@ -824,10 +828,10 @@
"execution_count": 10,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:17.132992Z",
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- "shell.execute_reply": "2023-12-01T10:36:17.159524Z"
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+ "iopub.status.busy": "2024-11-29T15:33:17.388945Z",
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+ "shell.execute_reply": "2024-11-29T15:33:17.417027Z"
}
},
"outputs": [],
@@ -854,10 +858,10 @@
"execution_count": 11,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:17.162100Z",
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- "iopub.status.idle": "2023-12-01T10:36:17.164988Z",
- "shell.execute_reply": "2023-12-01T10:36:17.164544Z"
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+ "iopub.status.busy": "2024-11-29T15:33:17.420143Z",
+ "iopub.status.idle": "2024-11-29T15:33:17.423401Z",
+ "shell.execute_reply": "2024-11-29T15:33:17.422999Z"
}
},
"outputs": [
@@ -936,10 +940,10 @@
"execution_count": 12,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:17.166892Z",
- "iopub.status.busy": "2023-12-01T10:36:17.166697Z",
- "iopub.status.idle": "2023-12-01T10:36:17.195730Z",
- "shell.execute_reply": "2023-12-01T10:36:17.195230Z"
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+ "shell.execute_reply": "2024-11-29T15:33:17.456575Z"
}
},
"outputs": [
@@ -990,10 +994,10 @@
"execution_count": 13,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:17.197705Z",
- "iopub.status.busy": "2023-12-01T10:36:17.197518Z",
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- "shell.execute_reply": "2023-12-01T10:36:17.201591Z"
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+ "shell.execute_reply": "2024-11-29T15:33:17.463930Z"
}
},
"outputs": [
@@ -1091,10 +1095,10 @@
"execution_count": 14,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:17.203894Z",
- "iopub.status.busy": "2023-12-01T10:36:17.203704Z",
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- "shell.execute_reply": "2023-12-01T10:36:17.206151Z"
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+ "shell.execute_reply": "2024-11-29T15:33:17.469183Z"
}
},
"outputs": [
@@ -1259,7 +1263,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.2"
+ "version": "3.9.17"
}
},
"nbformat": 4,
diff --git a/notebooks/postel/example_plot1d.ipynb b/notebooks/postel/example_plot1d.ipynb
index fa2201416a..a92b908fd1 100644
--- a/notebooks/postel/example_plot1d.ipynb
+++ b/notebooks/postel/example_plot1d.ipynb
@@ -23,10 +23,10 @@
"execution_count": 1,
"metadata": {
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- "iopub.status.idle": "2023-12-01T10:36:18.607060Z",
- "shell.execute_reply": "2023-12-01T10:36:18.606530Z"
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+ "shell.execute_reply": "2024-11-29T15:33:18.859544Z"
}
},
"outputs": [
@@ -94,10 +94,10 @@
"execution_count": 2,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:18.610641Z",
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- "iopub.status.idle": "2023-12-01T10:36:18.783031Z",
- "shell.execute_reply": "2023-12-01T10:36:18.782505Z"
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+ "shell.execute_reply": "2024-11-29T15:33:19.008783Z"
}
},
"outputs": [
@@ -170,10 +170,10 @@
"execution_count": 3,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:18.785133Z",
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- "shell.execute_reply": "2023-12-01T10:36:18.960879Z"
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+ "iopub.status.busy": "2024-11-29T15:33:19.011231Z",
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+ "shell.execute_reply": "2024-11-29T15:33:19.192976Z"
}
},
"outputs": [
@@ -244,10 +244,10 @@
"execution_count": 4,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:18.964044Z",
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- "shell.execute_reply": "2023-12-01T10:36:19.094400Z"
+ "iopub.execute_input": "2024-11-29T15:33:19.195642Z",
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+ "iopub.status.idle": "2024-11-29T15:33:19.367924Z",
+ "shell.execute_reply": "2024-11-29T15:33:19.367446Z"
}
},
"outputs": [
@@ -329,10 +329,10 @@
"execution_count": 5,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:19.097393Z",
- "iopub.status.busy": "2023-12-01T10:36:19.097197Z",
- "iopub.status.idle": "2023-12-01T10:36:19.224014Z",
- "shell.execute_reply": "2023-12-01T10:36:19.223534Z"
+ "iopub.execute_input": "2024-11-29T15:33:19.370043Z",
+ "iopub.status.busy": "2024-11-29T15:33:19.369855Z",
+ "iopub.status.idle": "2024-11-29T15:33:19.498769Z",
+ "shell.execute_reply": "2024-11-29T15:33:19.498296Z"
}
},
"outputs": [
@@ -402,10 +402,10 @@
"execution_count": 6,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:19.226735Z",
- "iopub.status.busy": "2023-12-01T10:36:19.226543Z",
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- "shell.execute_reply": "2023-12-01T10:36:19.321190Z"
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+ "iopub.status.busy": "2024-11-29T15:33:19.500674Z",
+ "iopub.status.idle": "2024-11-29T15:33:19.605567Z",
+ "shell.execute_reply": "2024-11-29T15:33:19.605002Z"
}
},
"outputs": [
diff --git a/notebooks/postel/example_plot2d.ipynb b/notebooks/postel/example_plot2d.ipynb
index 3247988b7f..df003adbe7 100644
--- a/notebooks/postel/example_plot2d.ipynb
+++ b/notebooks/postel/example_plot2d.ipynb
@@ -16,10 +16,10 @@
"execution_count": 1,
"metadata": {
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- "iopub.status.busy": "2023-12-01T10:36:20.225082Z",
- "iopub.status.idle": "2023-12-01T10:36:20.585550Z",
- "shell.execute_reply": "2023-12-01T10:36:20.584968Z"
+ "iopub.execute_input": "2024-11-29T15:33:20.574631Z",
+ "iopub.status.busy": "2024-11-29T15:33:20.574441Z",
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+ "shell.execute_reply": "2024-11-29T15:33:20.927211Z"
}
},
"outputs": [],
@@ -43,10 +43,10 @@
"execution_count": 2,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:20.587804Z",
- "iopub.status.busy": "2023-12-01T10:36:20.587576Z",
- "iopub.status.idle": "2023-12-01T10:36:20.592826Z",
- "shell.execute_reply": "2023-12-01T10:36:20.592274Z"
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+ "shell.execute_reply": "2024-11-29T15:33:20.935215Z"
}
},
"outputs": [
@@ -86,10 +86,10 @@
"execution_count": 3,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:20.595496Z",
- "iopub.status.busy": "2023-12-01T10:36:20.595320Z",
- "iopub.status.idle": "2023-12-01T10:36:20.773937Z",
- "shell.execute_reply": "2023-12-01T10:36:20.773300Z"
+ "iopub.execute_input": "2024-11-29T15:33:20.938064Z",
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+ "shell.execute_reply": "2024-11-29T15:33:21.129685Z"
}
},
"outputs": [
@@ -132,10 +132,10 @@
"execution_count": 4,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:20.777526Z",
- "iopub.status.busy": "2023-12-01T10:36:20.777316Z",
- "iopub.status.idle": "2023-12-01T10:36:21.104248Z",
- "shell.execute_reply": "2023-12-01T10:36:21.103655Z"
+ "iopub.execute_input": "2024-11-29T15:33:21.134491Z",
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+ "iopub.status.idle": "2024-11-29T15:33:21.467756Z",
+ "shell.execute_reply": "2024-11-29T15:33:21.467340Z"
}
},
"outputs": [
@@ -173,10 +173,10 @@
"execution_count": 5,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:21.109491Z",
- "iopub.status.busy": "2023-12-01T10:36:21.109275Z",
- "iopub.status.idle": "2023-12-01T10:36:21.421940Z",
- "shell.execute_reply": "2023-12-01T10:36:21.421330Z"
+ "iopub.execute_input": "2024-11-29T15:33:21.474428Z",
+ "iopub.status.busy": "2024-11-29T15:33:21.474238Z",
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+ "shell.execute_reply": "2024-11-29T15:33:21.792675Z"
}
},
"outputs": [
@@ -216,10 +216,10 @@
"execution_count": 6,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:21.427537Z",
- "iopub.status.busy": "2023-12-01T10:36:21.427332Z",
- "iopub.status.idle": "2023-12-01T10:36:21.629827Z",
- "shell.execute_reply": "2023-12-01T10:36:21.629262Z"
+ "iopub.execute_input": "2024-11-29T15:33:21.800592Z",
+ "iopub.status.busy": "2024-11-29T15:33:21.800368Z",
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+ "shell.execute_reply": "2024-11-29T15:33:22.009388Z"
}
},
"outputs": [
@@ -260,10 +260,10 @@
"execution_count": 7,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:21.633107Z",
- "iopub.status.busy": "2023-12-01T10:36:21.632922Z",
- "iopub.status.idle": "2023-12-01T10:36:22.493229Z",
- "shell.execute_reply": "2023-12-01T10:36:22.492609Z"
+ "iopub.execute_input": "2024-11-29T15:33:22.013569Z",
+ "iopub.status.busy": "2024-11-29T15:33:22.013338Z",
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+ "shell.execute_reply": "2024-11-29T15:33:22.907464Z"
}
},
"outputs": [
@@ -318,10 +318,10 @@
"execution_count": 8,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:22.500758Z",
- "iopub.status.busy": "2023-12-01T10:36:22.500546Z",
- "iopub.status.idle": "2023-12-01T10:36:23.403707Z",
- "shell.execute_reply": "2023-12-01T10:36:23.403075Z"
+ "iopub.execute_input": "2024-11-29T15:33:22.918042Z",
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+ "shell.execute_reply": "2024-11-29T15:33:23.883323Z"
}
},
"outputs": [
@@ -389,10 +389,10 @@
"execution_count": 9,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:23.407096Z",
- "iopub.status.busy": "2023-12-01T10:36:23.406877Z",
- "iopub.status.idle": "2023-12-01T10:36:23.883116Z",
- "shell.execute_reply": "2023-12-01T10:36:23.882557Z"
+ "iopub.execute_input": "2024-11-29T15:33:23.887640Z",
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+ "shell.execute_reply": "2024-11-29T15:33:24.324436Z"
}
},
"outputs": [
@@ -449,10 +449,10 @@
"execution_count": 10,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:23.886886Z",
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- "iopub.status.idle": "2023-12-01T10:36:24.279499Z",
- "shell.execute_reply": "2023-12-01T10:36:24.279003Z"
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+ "shell.execute_reply": "2024-11-29T15:33:24.785129Z"
}
},
"outputs": [
@@ -509,10 +509,10 @@
"execution_count": 11,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:24.283265Z",
- "iopub.status.busy": "2023-12-01T10:36:24.283053Z",
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- "shell.execute_reply": "2023-12-01T10:36:26.400955Z"
+ "iopub.execute_input": "2024-11-29T15:33:24.791885Z",
+ "iopub.status.busy": "2024-11-29T15:33:24.791665Z",
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+ "shell.execute_reply": "2024-11-29T15:33:27.192673Z"
}
},
"outputs": [
@@ -551,10 +551,10 @@
"execution_count": 12,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:36:26.407180Z",
- "iopub.status.busy": "2023-12-01T10:36:26.406985Z",
- "iopub.status.idle": "2023-12-01T10:36:28.575842Z",
- "shell.execute_reply": "2023-12-01T10:36:28.575297Z"
+ "iopub.execute_input": "2024-11-29T15:33:27.202238Z",
+ "iopub.status.busy": "2024-11-29T15:33:27.202037Z",
+ "iopub.status.idle": "2024-11-29T15:33:29.664668Z",
+ "shell.execute_reply": "2024-11-29T15:33:29.664093Z"
}
},
"outputs": [
@@ -592,10 +592,10 @@
"execution_count": 13,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:28.582351Z",
- "iopub.status.busy": "2023-12-01T10:36:28.582132Z",
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- "shell.execute_reply": "2023-12-01T10:36:28.974261Z"
+ "iopub.execute_input": "2024-11-29T15:33:29.671298Z",
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+ "shell.execute_reply": "2024-11-29T15:33:30.076702Z"
}
},
"outputs": [
@@ -633,10 +633,10 @@
"execution_count": 14,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:28.983894Z",
- "iopub.status.busy": "2023-12-01T10:36:28.983675Z",
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- "shell.execute_reply": "2023-12-01T10:36:29.345180Z"
+ "iopub.execute_input": "2024-11-29T15:33:30.086374Z",
+ "iopub.status.busy": "2024-11-29T15:33:30.086164Z",
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+ "shell.execute_reply": "2024-11-29T15:33:30.404521Z"
}
},
"outputs": [
@@ -676,10 +676,10 @@
"execution_count": 15,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:29.350005Z",
- "iopub.status.busy": "2023-12-01T10:36:29.349815Z",
- "iopub.status.idle": "2023-12-01T10:36:29.712275Z",
- "shell.execute_reply": "2023-12-01T10:36:29.711701Z"
+ "iopub.execute_input": "2024-11-29T15:33:30.409604Z",
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+ "shell.execute_reply": "2024-11-29T15:33:30.837782Z"
}
},
"outputs": [
@@ -717,10 +717,10 @@
"execution_count": 16,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:29.721886Z",
- "iopub.status.busy": "2023-12-01T10:36:29.721665Z",
- "iopub.status.idle": "2023-12-01T10:36:30.038752Z",
- "shell.execute_reply": "2023-12-01T10:36:30.038216Z"
+ "iopub.execute_input": "2024-11-29T15:33:30.848254Z",
+ "iopub.status.busy": "2024-11-29T15:33:30.847999Z",
+ "iopub.status.idle": "2024-11-29T15:33:31.177664Z",
+ "shell.execute_reply": "2024-11-29T15:33:31.176980Z"
}
},
"outputs": [
@@ -759,10 +759,10 @@
"execution_count": 17,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:30.044980Z",
- "iopub.status.busy": "2023-12-01T10:36:30.044777Z",
- "iopub.status.idle": "2023-12-01T10:36:32.116676Z",
- "shell.execute_reply": "2023-12-01T10:36:32.116139Z"
+ "iopub.execute_input": "2024-11-29T15:33:31.184046Z",
+ "iopub.status.busy": "2024-11-29T15:33:31.183822Z",
+ "iopub.status.idle": "2024-11-29T15:33:33.440433Z",
+ "shell.execute_reply": "2024-11-29T15:33:33.439871Z"
}
},
"outputs": [
@@ -810,10 +810,10 @@
"execution_count": 18,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:32.122085Z",
- "iopub.status.busy": "2023-12-01T10:36:32.121876Z",
- "iopub.status.idle": "2023-12-01T10:36:32.268644Z",
- "shell.execute_reply": "2023-12-01T10:36:32.268102Z"
+ "iopub.execute_input": "2024-11-29T15:33:33.445965Z",
+ "iopub.status.busy": "2024-11-29T15:33:33.445741Z",
+ "iopub.status.idle": "2024-11-29T15:33:33.596547Z",
+ "shell.execute_reply": "2024-11-29T15:33:33.596013Z"
}
},
"outputs": [
diff --git a/notebooks/postel/example_plot2d_advanced.ipynb b/notebooks/postel/example_plot2d_advanced.ipynb
index 59758bfbfb..ffac1a8c10 100644
--- a/notebooks/postel/example_plot2d_advanced.ipynb
+++ b/notebooks/postel/example_plot2d_advanced.ipynb
@@ -14,10 +14,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:33.549559Z",
- "iopub.status.busy": "2023-12-01T10:36:33.548556Z",
- "iopub.status.idle": "2023-12-01T10:36:33.931810Z",
- "shell.execute_reply": "2023-12-01T10:36:33.931233Z"
+ "iopub.execute_input": "2024-11-29T15:33:34.655241Z",
+ "iopub.status.busy": "2024-11-29T15:33:34.654834Z",
+ "iopub.status.idle": "2024-11-29T15:33:35.008724Z",
+ "shell.execute_reply": "2024-11-29T15:33:35.008157Z"
}
},
"outputs": [],
@@ -41,10 +41,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:33.934847Z",
- "iopub.status.busy": "2023-12-01T10:36:33.934620Z",
- "iopub.status.idle": "2023-12-01T10:36:34.527671Z",
- "shell.execute_reply": "2023-12-01T10:36:34.527069Z"
+ "iopub.execute_input": "2024-11-29T15:33:35.011743Z",
+ "iopub.status.busy": "2024-11-29T15:33:35.011508Z",
+ "iopub.status.idle": "2024-11-29T15:33:35.631164Z",
+ "shell.execute_reply": "2024-11-29T15:33:35.630516Z"
}
},
"outputs": [
@@ -95,10 +95,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:34.530628Z",
- "iopub.status.busy": "2023-12-01T10:36:34.530401Z",
- "iopub.status.idle": "2023-12-01T10:36:36.182471Z",
- "shell.execute_reply": "2023-12-01T10:36:36.181811Z"
+ "iopub.execute_input": "2024-11-29T15:33:35.635689Z",
+ "iopub.status.busy": "2024-11-29T15:33:35.635476Z",
+ "iopub.status.idle": "2024-11-29T15:33:37.367254Z",
+ "shell.execute_reply": "2024-11-29T15:33:37.366637Z"
},
"scrolled": false
},
@@ -157,10 +157,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:36.186754Z",
- "iopub.status.busy": "2023-12-01T10:36:36.186554Z",
- "iopub.status.idle": "2023-12-01T10:36:36.604121Z",
- "shell.execute_reply": "2023-12-01T10:36:36.603495Z"
+ "iopub.execute_input": "2024-11-29T15:33:37.372999Z",
+ "iopub.status.busy": "2024-11-29T15:33:37.372772Z",
+ "iopub.status.idle": "2024-11-29T15:33:37.751714Z",
+ "shell.execute_reply": "2024-11-29T15:33:37.751087Z"
}
},
"outputs": [
@@ -219,10 +219,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:36.608286Z",
- "iopub.status.busy": "2023-12-01T10:36:36.608104Z",
- "iopub.status.idle": "2023-12-01T10:36:36.889590Z",
- "shell.execute_reply": "2023-12-01T10:36:36.889035Z"
+ "iopub.execute_input": "2024-11-29T15:33:37.757250Z",
+ "iopub.status.busy": "2024-11-29T15:33:37.757021Z",
+ "iopub.status.idle": "2024-11-29T15:33:38.109930Z",
+ "shell.execute_reply": "2024-11-29T15:33:38.109321Z"
}
},
"outputs": [
@@ -275,10 +275,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:36.892890Z",
- "iopub.status.busy": "2023-12-01T10:36:36.892676Z",
- "iopub.status.idle": "2023-12-01T10:36:37.165224Z",
- "shell.execute_reply": "2023-12-01T10:36:37.164619Z"
+ "iopub.execute_input": "2024-11-29T15:33:38.114307Z",
+ "iopub.status.busy": "2024-11-29T15:33:38.114101Z",
+ "iopub.status.idle": "2024-11-29T15:33:38.397808Z",
+ "shell.execute_reply": "2024-11-29T15:33:38.397152Z"
}
},
"outputs": [
@@ -331,10 +331,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:37.168090Z",
- "iopub.status.busy": "2023-12-01T10:36:37.167900Z",
- "iopub.status.idle": "2023-12-01T10:36:37.573842Z",
- "shell.execute_reply": "2023-12-01T10:36:37.573313Z"
+ "iopub.execute_input": "2024-11-29T15:33:38.401868Z",
+ "iopub.status.busy": "2024-11-29T15:33:38.401641Z",
+ "iopub.status.idle": "2024-11-29T15:33:38.831036Z",
+ "shell.execute_reply": "2024-11-29T15:33:38.830408Z"
}
},
"outputs": [
@@ -414,10 +414,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:36:37.579666Z",
- "iopub.status.busy": "2023-12-01T10:36:37.579448Z",
- "iopub.status.idle": "2023-12-01T10:37:02.474600Z",
- "shell.execute_reply": "2023-12-01T10:37:02.473947Z"
+ "iopub.execute_input": "2024-11-29T15:33:38.837962Z",
+ "iopub.status.busy": "2024-11-29T15:33:38.837732Z",
+ "iopub.status.idle": "2024-11-29T15:34:05.296104Z",
+ "shell.execute_reply": "2024-11-29T15:34:05.295505Z"
},
"scrolled": false
},
@@ -493,10 +493,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:02.480802Z",
- "iopub.status.busy": "2023-12-01T10:37:02.480599Z",
- "iopub.status.idle": "2023-12-01T10:37:02.986418Z",
- "shell.execute_reply": "2023-12-01T10:37:02.985873Z"
+ "iopub.execute_input": "2024-11-29T15:34:05.304219Z",
+ "iopub.status.busy": "2024-11-29T15:34:05.303973Z",
+ "iopub.status.idle": "2024-11-29T15:34:05.881199Z",
+ "shell.execute_reply": "2024-11-29T15:34:05.880561Z"
},
"scrolled": false
},
@@ -573,10 +573,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:02.992098Z",
- "iopub.status.busy": "2023-12-01T10:37:02.991888Z",
- "iopub.status.idle": "2023-12-01T10:37:03.599760Z",
- "shell.execute_reply": "2023-12-01T10:37:03.599222Z"
+ "iopub.execute_input": "2024-11-29T15:34:05.888421Z",
+ "iopub.status.busy": "2024-11-29T15:34:05.888162Z",
+ "iopub.status.idle": "2024-11-29T15:34:06.495563Z",
+ "shell.execute_reply": "2024-11-29T15:34:06.495041Z"
},
"scrolled": false
},
diff --git a/notebooks/postel/example_plot2d_background_map.ipynb b/notebooks/postel/example_plot2d_background_map.ipynb
index 7e16cf78ed..adbf181d9a 100644
--- a/notebooks/postel/example_plot2d_background_map.ipynb
+++ b/notebooks/postel/example_plot2d_background_map.ipynb
@@ -27,10 +27,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:04.467658Z",
- "iopub.status.busy": "2023-12-01T10:37:04.467051Z",
- "iopub.status.idle": "2023-12-01T10:37:04.845930Z",
- "shell.execute_reply": "2023-12-01T10:37:04.845342Z"
+ "iopub.execute_input": "2024-11-29T15:34:07.412371Z",
+ "iopub.status.busy": "2024-11-29T15:34:07.412190Z",
+ "iopub.status.idle": "2024-11-29T15:34:07.788694Z",
+ "shell.execute_reply": "2024-11-29T15:34:07.788101Z"
}
},
"outputs": [],
@@ -88,10 +88,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:04.848811Z",
- "iopub.status.busy": "2023-12-01T10:37:04.848576Z",
- "iopub.status.idle": "2023-12-01T10:37:04.879391Z",
- "shell.execute_reply": "2023-12-01T10:37:04.878937Z"
+ "iopub.execute_input": "2024-11-29T15:34:07.791032Z",
+ "iopub.status.busy": "2024-11-29T15:34:07.790779Z",
+ "iopub.status.idle": "2024-11-29T15:34:07.822673Z",
+ "shell.execute_reply": "2024-11-29T15:34:07.822004Z"
}
},
"outputs": [
@@ -103,7 +103,7 @@
" in_crs_string = _prepare_from_proj_string(in_crs_string)\n",
"/home/d60881/opt2/python-3.9.17/arch/S11/gnu-10.2.1/lib/python3.9/site-packages/pyproj/crs/crs.py:141: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
" in_crs_string = _prepare_from_proj_string(in_crs_string)\n",
- "/tmp/ipykernel_589757/2892555373.py:5: FutureWarning: This function is deprecated. See: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1\n",
+ "/tmp/ipykernel_1699570/2892555373.py:5: FutureWarning: This function is deprecated. See: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1\n",
" res.tri.x, res.tri.y = pyproj.transform(lamb1, wgs84, res.tri.x, res.tri.y)\n"
]
}
@@ -136,10 +136,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:04.881993Z",
- "iopub.status.busy": "2023-12-01T10:37:04.881802Z",
- "iopub.status.idle": "2023-12-01T10:37:05.256256Z",
- "shell.execute_reply": "2023-12-01T10:37:05.255576Z"
+ "iopub.execute_input": "2024-11-29T15:34:07.825170Z",
+ "iopub.status.busy": "2024-11-29T15:34:07.824901Z",
+ "iopub.status.idle": "2024-11-29T15:34:08.187282Z",
+ "shell.execute_reply": "2024-11-29T15:34:08.186593Z"
}
},
"outputs": [
@@ -201,10 +201,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:05.265388Z",
- "iopub.status.busy": "2023-12-01T10:37:05.265152Z",
- "iopub.status.idle": "2023-12-01T10:37:10.398682Z",
- "shell.execute_reply": "2023-12-01T10:37:10.398269Z"
+ "iopub.execute_input": "2024-11-29T15:34:08.195440Z",
+ "iopub.status.busy": "2024-11-29T15:34:08.195254Z",
+ "iopub.status.idle": "2024-11-29T15:34:13.925492Z",
+ "shell.execute_reply": "2024-11-29T15:34:13.924806Z"
}
},
"outputs": [
@@ -254,10 +254,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:10.409102Z",
- "iopub.status.busy": "2023-12-01T10:37:10.408859Z",
- "iopub.status.idle": "2023-12-01T10:37:10.859255Z",
- "shell.execute_reply": "2023-12-01T10:37:10.858555Z"
+ "iopub.execute_input": "2024-11-29T15:34:13.936325Z",
+ "iopub.status.busy": "2024-11-29T15:34:13.936047Z",
+ "iopub.status.idle": "2024-11-29T15:34:14.403760Z",
+ "shell.execute_reply": "2024-11-29T15:34:14.403227Z"
}
},
"outputs": [
@@ -315,10 +315,10 @@
"metadata": {
"collapsed": true,
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:10.868704Z",
- "iopub.status.busy": "2023-12-01T10:37:10.868505Z",
- "iopub.status.idle": "2023-12-01T10:37:10.871198Z",
- "shell.execute_reply": "2023-12-01T10:37:10.870584Z"
+ "iopub.execute_input": "2024-11-29T15:34:14.412676Z",
+ "iopub.status.busy": "2024-11-29T15:34:14.412461Z",
+ "iopub.status.idle": "2024-11-29T15:34:14.415263Z",
+ "shell.execute_reply": "2024-11-29T15:34:14.414768Z"
}
},
"outputs": [],
@@ -349,10 +349,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:10.873635Z",
- "iopub.status.busy": "2023-12-01T10:37:10.873463Z",
- "iopub.status.idle": "2023-12-01T10:37:10.985568Z",
- "shell.execute_reply": "2023-12-01T10:37:10.985116Z"
+ "iopub.execute_input": "2024-11-29T15:34:14.417166Z",
+ "iopub.status.busy": "2024-11-29T15:34:14.416982Z",
+ "iopub.status.idle": "2024-11-29T15:34:14.499221Z",
+ "shell.execute_reply": "2024-11-29T15:34:14.498599Z"
}
},
"outputs": [
@@ -364,7 +364,7 @@
" in_crs_string = _prepare_from_proj_string(in_crs_string)\n",
"/home/d60881/opt2/python-3.9.17/arch/S11/gnu-10.2.1/lib/python3.9/site-packages/pyproj/crs/crs.py:141: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
" in_crs_string = _prepare_from_proj_string(in_crs_string)\n",
- "/tmp/ipykernel_589757/2433185796.py:34: FutureWarning: This function is deprecated. See: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1\n",
+ "/tmp/ipykernel_1699570/2433185796.py:34: FutureWarning: This function is deprecated. See: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1\n",
" res.tri.x, res.tri.y = pyproj.transform(lamb1, wgs84, res.tri.x, res.tri.y)\n"
]
}
@@ -427,10 +427,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:10.988125Z",
- "iopub.status.busy": "2023-12-01T10:37:10.987885Z",
- "iopub.status.idle": "2023-12-01T10:37:12.447740Z",
- "shell.execute_reply": "2023-12-01T10:37:12.445038Z"
+ "iopub.execute_input": "2024-11-29T15:34:14.501374Z",
+ "iopub.status.busy": "2024-11-29T15:34:14.501119Z",
+ "iopub.status.idle": "2024-11-29T15:34:14.859452Z",
+ "shell.execute_reply": "2024-11-29T15:34:14.858813Z"
}
},
"outputs": [
@@ -438,7 +438,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "OrderedDict([('OSM-WMS', <owslib.map.wms111.ContentMetadata object at 0x7f48a9e49070>), ('OSM-WMS-no-labels', <owslib.map.wms111.ContentMetadata object at 0x7f48a9f20a30>), ('OSM-Overlay-WMS', <owslib.map.wms111.ContentMetadata object at 0x7f48a9f20d30>), ('TOPO-WMS', <owslib.map.wms111.ContentMetadata object at 0x7f48a9f20a60>), ('TOPO-OSM-WMS', <owslib.map.wms111.ContentMetadata object at 0x7f48a9f203a0>), ('SRTM30-Hillshade', <owslib.map.wms111.ContentMetadata object at 0x7f48a9f206d0>), ('SRTM30-Colored', <owslib.map.wms111.ContentMetadata object at 0x7f48a9f20700>), ('SRTM30-Colored-Hillshade', <owslib.map.wms111.ContentMetadata object at 0x7f48ab508d60>), ('SRTM30-Contour', <owslib.map.wms111.ContentMetadata object at 0x7f48ab508be0>), ('Dark', <owslib.map.wms111.ContentMetadata object at 0x7f48ab508d90>)])\n"
+ "OrderedDict([('OSM-WMS', <owslib.map.wms111.ContentMetadata object at 0x7f54143b37f0>), ('OSM-WMS-no-labels', <owslib.map.wms111.ContentMetadata object at 0x7f540e92bf10>), ('OSM-Overlay-WMS', <owslib.map.wms111.ContentMetadata object at 0x7f540e940520>), ('TOPO-WMS', <owslib.map.wms111.ContentMetadata object at 0x7f540e940580>), ('TOPO-OSM-WMS', <owslib.map.wms111.ContentMetadata object at 0x7f540e9405e0>), ('SRTM30-Hillshade', <owslib.map.wms111.ContentMetadata object at 0x7f540e940640>), ('SRTM30-Colored', <owslib.map.wms111.ContentMetadata object at 0x7f540e9406a0>), ('SRTM30-Colored-Hillshade', <owslib.map.wms111.ContentMetadata object at 0x7f540e940700>), ('SRTM30-Contour', <owslib.map.wms111.ContentMetadata object at 0x7f540e940760>), ('Dark', <owslib.map.wms111.ContentMetadata object at 0x7f540e9407c0>)])\n"
]
}
],
@@ -452,10 +452,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:12.450841Z",
- "iopub.status.busy": "2023-12-01T10:37:12.450658Z",
- "iopub.status.idle": "2023-12-01T10:37:13.629384Z",
- "shell.execute_reply": "2023-12-01T10:37:13.626920Z"
+ "iopub.execute_input": "2024-11-29T15:34:14.861888Z",
+ "iopub.status.busy": "2024-11-29T15:34:14.861637Z",
+ "iopub.status.idle": "2024-11-29T15:34:16.062890Z",
+ "shell.execute_reply": "2024-11-29T15:34:16.062230Z"
}
},
"outputs": [],
@@ -482,10 +482,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:13.636357Z",
- "iopub.status.busy": "2023-12-01T10:37:13.636148Z",
- "iopub.status.idle": "2023-12-01T10:37:13.640148Z",
- "shell.execute_reply": "2023-12-01T10:37:13.639468Z"
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+ "shell.execute_reply": "2024-11-29T15:34:16.068302Z"
}
},
"outputs": [],
@@ -507,10 +507,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:13.642791Z",
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+ "shell.execute_reply": "2024-11-29T15:34:16.920812Z"
}
},
"outputs": [
@@ -566,10 +566,10 @@
"execution_count": 12,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:14.488801Z",
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+ "shell.execute_reply": "2024-11-29T15:34:16.931855Z"
}
},
"outputs": [],
diff --git a/notebooks/postel/example_plot3d.ipynb b/notebooks/postel/example_plot3d.ipynb
index 08c1f8184f..ee9225a3b7 100644
--- a/notebooks/postel/example_plot3d.ipynb
+++ b/notebooks/postel/example_plot3d.ipynb
@@ -14,10 +14,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:15.449865Z",
- "iopub.status.busy": "2023-12-01T10:37:15.448013Z",
- "iopub.status.idle": "2023-12-01T10:37:15.838864Z",
- "shell.execute_reply": "2023-12-01T10:37:15.838324Z"
+ "iopub.execute_input": "2024-11-29T15:34:17.887510Z",
+ "iopub.status.busy": "2024-11-29T15:34:17.887329Z",
+ "iopub.status.idle": "2024-11-29T15:34:18.242964Z",
+ "shell.execute_reply": "2024-11-29T15:34:18.242452Z"
}
},
"outputs": [],
@@ -41,10 +41,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:15.841168Z",
- "iopub.status.busy": "2023-12-01T10:37:15.840945Z",
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- "shell.execute_reply": "2023-12-01T10:37:15.844639Z"
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+ "iopub.status.idle": "2024-11-29T15:34:18.248976Z",
+ "shell.execute_reply": "2024-11-29T15:34:18.248516Z"
}
},
"outputs": [],
@@ -71,10 +71,10 @@
"execution_count": 3,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:37:15.847055Z",
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- "shell.execute_reply": "2023-12-01T10:37:16.028496Z"
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+ "shell.execute_reply": "2024-11-29T15:34:18.413157Z"
}
},
"outputs": [
diff --git a/notebooks/postel/example_plot_deco.ipynb b/notebooks/postel/example_plot_deco.ipynb
index ed15aa0f2b..53bf04988c 100644
--- a/notebooks/postel/example_plot_deco.ipynb
+++ b/notebooks/postel/example_plot_deco.ipynb
@@ -16,10 +16,10 @@
"execution_count": 1,
"metadata": {
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- "shell.execute_reply": "2023-12-01T10:37:17.625489Z"
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+ "iopub.status.busy": "2024-11-29T15:34:19.335490Z",
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+ "shell.execute_reply": "2024-11-29T15:34:19.842547Z"
}
},
"outputs": [
diff --git a/notebooks/postel/plot.ipynb b/notebooks/postel/plot.ipynb
index 19a6eae06e..0f9a9ecf7a 100644
--- a/notebooks/postel/plot.ipynb
+++ b/notebooks/postel/plot.ipynb
@@ -29,10 +29,10 @@
"execution_count": 1,
"metadata": {
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- "iopub.status.idle": "2023-12-01T10:37:19.305440Z",
- "shell.execute_reply": "2023-12-01T10:37:19.302424Z"
+ "iopub.execute_input": "2024-11-29T15:34:20.843531Z",
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+ "shell.execute_reply": "2024-11-29T15:34:21.440860Z"
}
},
"outputs": [
@@ -94,10 +94,10 @@
"execution_count": 2,
"metadata": {
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- "iopub.status.idle": "2023-12-01T10:37:19.890411Z",
- "shell.execute_reply": "2023-12-01T10:37:19.887235Z"
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+ "shell.execute_reply": "2024-11-29T15:34:22.044252Z"
}
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"outputs": [
@@ -134,10 +134,10 @@
"execution_count": 3,
"metadata": {
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- "iopub.status.idle": "2023-12-01T10:37:20.807592Z",
- "shell.execute_reply": "2023-12-01T10:37:20.804654Z"
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+ "shell.execute_reply": "2024-11-29T15:34:22.967416Z"
}
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"outputs": [
@@ -160,10 +160,10 @@
"execution_count": 4,
"metadata": {
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- "iopub.status.idle": "2023-12-01T10:37:20.827985Z",
- "shell.execute_reply": "2023-12-01T10:37:20.827547Z"
+ "iopub.execute_input": "2024-11-29T15:34:22.970916Z",
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+ "shell.execute_reply": "2024-11-29T15:34:22.982097Z"
}
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"outputs": [
@@ -196,10 +196,10 @@
"execution_count": 5,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:37:20.830796Z",
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- "iopub.status.idle": "2023-12-01T10:37:23.122914Z",
- "shell.execute_reply": "2023-12-01T10:37:23.121978Z"
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+ "shell.execute_reply": "2024-11-29T15:34:25.254565Z"
}
},
"outputs": [
@@ -222,10 +222,10 @@
"execution_count": 6,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:37:23.126533Z",
- "iopub.status.busy": "2023-12-01T10:37:23.126244Z",
- "iopub.status.idle": "2023-12-01T10:37:23.138030Z",
- "shell.execute_reply": "2023-12-01T10:37:23.136845Z"
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+ "shell.execute_reply": "2024-11-29T15:34:25.265608Z"
}
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"outputs": [
@@ -260,10 +260,10 @@
"execution_count": 7,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:37:23.142553Z",
- "iopub.status.busy": "2023-12-01T10:37:23.142340Z",
- "iopub.status.idle": "2023-12-01T10:37:25.459571Z",
- "shell.execute_reply": "2023-12-01T10:37:25.457628Z"
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+ "shell.execute_reply": "2024-11-29T15:34:27.508338Z"
}
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"outputs": [
@@ -284,10 +284,10 @@
"execution_count": 8,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:37:25.467312Z",
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- "iopub.status.idle": "2023-12-01T10:37:25.475767Z",
- "shell.execute_reply": "2023-12-01T10:37:25.475349Z"
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+ "shell.execute_reply": "2024-11-29T15:34:27.519062Z"
}
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"outputs": [
@@ -325,10 +325,10 @@
"execution_count": 9,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:37:25.478548Z",
- "iopub.status.busy": "2023-12-01T10:37:25.478386Z",
- "iopub.status.idle": "2023-12-01T10:37:26.060275Z",
- "shell.execute_reply": "2023-12-01T10:37:26.057730Z"
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+ "iopub.status.busy": "2024-11-29T15:34:27.522252Z",
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+ "shell.execute_reply": "2024-11-29T15:34:28.096631Z"
}
},
"outputs": [
@@ -366,10 +366,10 @@
"execution_count": 10,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:37:26.068689Z",
- "iopub.status.busy": "2023-12-01T10:37:26.068013Z",
- "iopub.status.idle": "2023-12-01T10:37:27.039041Z",
- "shell.execute_reply": "2023-12-01T10:37:27.037695Z"
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+ "iopub.status.busy": "2024-11-29T15:34:28.099776Z",
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+ "shell.execute_reply": "2024-11-29T15:34:29.083191Z"
}
},
"outputs": [
@@ -390,10 +390,10 @@
"execution_count": 11,
"metadata": {
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- "iopub.status.idle": "2023-12-01T10:37:27.053965Z",
- "shell.execute_reply": "2023-12-01T10:37:27.053349Z"
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+ "shell.execute_reply": "2024-11-29T15:34:29.091491Z"
}
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"outputs": [
@@ -429,10 +429,10 @@
"execution_count": 12,
"metadata": {
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- "shell.execute_reply": "2023-12-01T10:37:27.629312Z"
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}
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"outputs": [
@@ -471,10 +471,10 @@
"execution_count": 13,
"metadata": {
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- "shell.execute_reply": "2023-12-01T10:37:28.965744Z"
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+ "shell.execute_reply": "2024-11-29T15:34:30.996634Z"
}
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"outputs": [
@@ -497,10 +497,10 @@
"execution_count": 14,
"metadata": {
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- "iopub.status.busy": "2023-12-01T10:37:28.971233Z",
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- "shell.execute_reply": "2023-12-01T10:37:28.981514Z"
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+ "shell.execute_reply": "2024-11-29T15:34:31.004950Z"
}
},
"outputs": [
@@ -539,10 +539,10 @@
"execution_count": 15,
"metadata": {
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- "shell.execute_reply": "2023-12-01T10:37:29.559024Z"
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+ "shell.execute_reply": "2024-11-29T15:34:31.575871Z"
}
},
"outputs": [
@@ -584,10 +584,10 @@
"execution_count": 16,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:37:29.566244Z",
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- "shell.execute_reply": "2023-12-01T10:37:30.510305Z"
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+ "shell.execute_reply": "2024-11-29T15:34:32.606582Z"
}
},
"outputs": [
@@ -610,10 +610,10 @@
"execution_count": 17,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:37:30.517197Z",
- "iopub.status.busy": "2023-12-01T10:37:30.517008Z",
- "iopub.status.idle": "2023-12-01T10:37:30.522224Z",
- "shell.execute_reply": "2023-12-01T10:37:30.521627Z"
+ "iopub.execute_input": "2024-11-29T15:34:32.609544Z",
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+ "shell.execute_reply": "2024-11-29T15:34:32.613111Z"
}
},
"outputs": [
@@ -652,10 +652,10 @@
"execution_count": 18,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:37:30.524512Z",
- "iopub.status.busy": "2023-12-01T10:37:30.524280Z",
- "iopub.status.idle": "2023-12-01T10:37:31.109015Z",
- "shell.execute_reply": "2023-12-01T10:37:31.106053Z"
+ "iopub.execute_input": "2024-11-29T15:34:32.615684Z",
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+ "shell.execute_reply": "2024-11-29T15:34:33.180675Z"
}
},
"outputs": [
@@ -695,10 +695,10 @@
"execution_count": 19,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:31.113212Z",
- "iopub.status.busy": "2023-12-01T10:37:31.113024Z",
- "iopub.status.idle": "2023-12-01T10:37:32.049641Z",
- "shell.execute_reply": "2023-12-01T10:37:32.048094Z"
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+ "shell.execute_reply": "2024-11-29T15:34:34.146965Z"
}
},
"outputs": [
@@ -721,10 +721,10 @@
"execution_count": 20,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:32.055075Z",
- "iopub.status.busy": "2023-12-01T10:37:32.054589Z",
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- "shell.execute_reply": "2023-12-01T10:37:32.061587Z"
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+ "shell.execute_reply": "2024-11-29T15:34:34.155055Z"
}
},
"outputs": [
@@ -762,10 +762,10 @@
"execution_count": 21,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:37:32.064328Z",
- "iopub.status.busy": "2023-12-01T10:37:32.064123Z",
- "iopub.status.idle": "2023-12-01T10:37:32.644217Z",
- "shell.execute_reply": "2023-12-01T10:37:32.641367Z"
+ "iopub.execute_input": "2024-11-29T15:34:34.157803Z",
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+ "shell.execute_reply": "2024-11-29T15:34:34.729673Z"
}
},
"outputs": [
@@ -802,10 +802,10 @@
"execution_count": 22,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:32.651274Z",
- "iopub.status.busy": "2023-12-01T10:37:32.651047Z",
- "iopub.status.idle": "2023-12-01T10:37:33.677640Z",
- "shell.execute_reply": "2023-12-01T10:37:33.674800Z"
+ "iopub.execute_input": "2024-11-29T15:34:34.733119Z",
+ "iopub.status.busy": "2024-11-29T15:34:34.732838Z",
+ "iopub.status.idle": "2024-11-29T15:34:35.779283Z",
+ "shell.execute_reply": "2024-11-29T15:34:35.778560Z"
}
},
"outputs": [
@@ -828,10 +828,10 @@
"execution_count": 23,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:33.685170Z",
- "iopub.status.busy": "2023-12-01T10:37:33.684941Z",
- "iopub.status.idle": "2023-12-01T10:37:33.689688Z",
- "shell.execute_reply": "2023-12-01T10:37:33.689237Z"
+ "iopub.execute_input": "2024-11-29T15:34:35.781999Z",
+ "iopub.status.busy": "2024-11-29T15:34:35.781728Z",
+ "iopub.status.idle": "2024-11-29T15:34:35.787965Z",
+ "shell.execute_reply": "2024-11-29T15:34:35.787378Z"
}
},
"outputs": [
@@ -869,10 +869,10 @@
"execution_count": 24,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:33.691631Z",
- "iopub.status.busy": "2023-12-01T10:37:33.691433Z",
- "iopub.status.idle": "2023-12-01T10:37:34.275773Z",
- "shell.execute_reply": "2023-12-01T10:37:34.274289Z"
+ "iopub.execute_input": "2024-11-29T15:34:35.790143Z",
+ "iopub.status.busy": "2024-11-29T15:34:35.789884Z",
+ "iopub.status.idle": "2024-11-29T15:34:36.369450Z",
+ "shell.execute_reply": "2024-11-29T15:34:36.368834Z"
}
},
"outputs": [
@@ -907,10 +907,10 @@
"execution_count": 25,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:34.281225Z",
- "iopub.status.busy": "2023-12-01T10:37:34.280756Z",
- "iopub.status.idle": "2023-12-01T10:37:35.626453Z",
- "shell.execute_reply": "2023-12-01T10:37:35.623577Z"
+ "iopub.execute_input": "2024-11-29T15:34:36.371763Z",
+ "iopub.status.busy": "2024-11-29T15:34:36.371536Z",
+ "iopub.status.idle": "2024-11-29T15:34:37.673686Z",
+ "shell.execute_reply": "2024-11-29T15:34:37.673025Z"
}
},
"outputs": [
@@ -931,10 +931,10 @@
"execution_count": 26,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:35.634142Z",
- "iopub.status.busy": "2023-12-01T10:37:35.633940Z",
- "iopub.status.idle": "2023-12-01T10:37:35.639606Z",
- "shell.execute_reply": "2023-12-01T10:37:35.639016Z"
+ "iopub.execute_input": "2024-11-29T15:34:37.676132Z",
+ "iopub.status.busy": "2024-11-29T15:34:37.675858Z",
+ "iopub.status.idle": "2024-11-29T15:34:37.680866Z",
+ "shell.execute_reply": "2024-11-29T15:34:37.680475Z"
}
},
"outputs": [
@@ -969,10 +969,10 @@
"execution_count": 27,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:35.642598Z",
- "iopub.status.busy": "2023-12-01T10:37:35.642448Z",
- "iopub.status.idle": "2023-12-01T10:37:36.219768Z",
- "shell.execute_reply": "2023-12-01T10:37:36.218322Z"
+ "iopub.execute_input": "2024-11-29T15:34:37.683917Z",
+ "iopub.status.busy": "2024-11-29T15:34:37.683734Z",
+ "iopub.status.idle": "2024-11-29T15:34:38.254591Z",
+ "shell.execute_reply": "2024-11-29T15:34:38.253864Z"
}
},
"outputs": [
@@ -1010,10 +1010,10 @@
"execution_count": 28,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:36.225377Z",
- "iopub.status.busy": "2023-12-01T10:37:36.224914Z",
- "iopub.status.idle": "2023-12-01T10:37:37.199359Z",
- "shell.execute_reply": "2023-12-01T10:37:37.197779Z"
+ "iopub.execute_input": "2024-11-29T15:34:38.256930Z",
+ "iopub.status.busy": "2024-11-29T15:34:38.256725Z",
+ "iopub.status.idle": "2024-11-29T15:34:39.305867Z",
+ "shell.execute_reply": "2024-11-29T15:34:39.305141Z"
}
},
"outputs": [
@@ -1036,10 +1036,10 @@
"execution_count": 29,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:37.206136Z",
- "iopub.status.busy": "2023-12-01T10:37:37.205923Z",
- "iopub.status.idle": "2023-12-01T10:37:37.212027Z",
- "shell.execute_reply": "2023-12-01T10:37:37.211514Z"
+ "iopub.execute_input": "2024-11-29T15:34:39.308866Z",
+ "iopub.status.busy": "2024-11-29T15:34:39.308667Z",
+ "iopub.status.idle": "2024-11-29T15:34:39.314747Z",
+ "shell.execute_reply": "2024-11-29T15:34:39.314137Z"
}
},
"outputs": [
@@ -1072,10 +1072,10 @@
"execution_count": 30,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:37.215376Z",
- "iopub.status.busy": "2023-12-01T10:37:37.215217Z",
- "iopub.status.idle": "2023-12-01T10:37:37.791232Z",
- "shell.execute_reply": "2023-12-01T10:37:37.790302Z"
+ "iopub.execute_input": "2024-11-29T15:34:39.318131Z",
+ "iopub.status.busy": "2024-11-29T15:34:39.317937Z",
+ "iopub.status.idle": "2024-11-29T15:34:39.888584Z",
+ "shell.execute_reply": "2024-11-29T15:34:39.887739Z"
}
},
"outputs": [
@@ -1115,10 +1115,10 @@
"execution_count": 31,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:37.795899Z",
- "iopub.status.busy": "2023-12-01T10:37:37.795608Z",
- "iopub.status.idle": "2023-12-01T10:37:38.678891Z",
- "shell.execute_reply": "2023-12-01T10:37:38.676029Z"
+ "iopub.execute_input": "2024-11-29T15:34:39.891013Z",
+ "iopub.status.busy": "2024-11-29T15:34:39.890787Z",
+ "iopub.status.idle": "2024-11-29T15:34:40.772310Z",
+ "shell.execute_reply": "2024-11-29T15:34:40.771657Z"
}
},
"outputs": [
@@ -1139,10 +1139,10 @@
"execution_count": 32,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:38.686136Z",
- "iopub.status.busy": "2023-12-01T10:37:38.685948Z",
- "iopub.status.idle": "2023-12-01T10:37:38.690787Z",
- "shell.execute_reply": "2023-12-01T10:37:38.690325Z"
+ "iopub.execute_input": "2024-11-29T15:34:40.774703Z",
+ "iopub.status.busy": "2024-11-29T15:34:40.774469Z",
+ "iopub.status.idle": "2024-11-29T15:34:40.779203Z",
+ "shell.execute_reply": "2024-11-29T15:34:40.778648Z"
}
},
"outputs": [
@@ -1175,10 +1175,10 @@
"execution_count": 33,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:38.692577Z",
- "iopub.status.busy": "2023-12-01T10:37:38.692422Z",
- "iopub.status.idle": "2023-12-01T10:37:39.282126Z",
- "shell.execute_reply": "2023-12-01T10:37:39.279213Z"
+ "iopub.execute_input": "2024-11-29T15:34:40.781169Z",
+ "iopub.status.busy": "2024-11-29T15:34:40.780954Z",
+ "iopub.status.idle": "2024-11-29T15:34:41.350003Z",
+ "shell.execute_reply": "2024-11-29T15:34:41.349348Z"
}
},
"outputs": [
@@ -1218,10 +1218,10 @@
"execution_count": 34,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:39.289242Z",
- "iopub.status.busy": "2023-12-01T10:37:39.289028Z",
- "iopub.status.idle": "2023-12-01T10:37:40.208673Z",
- "shell.execute_reply": "2023-12-01T10:37:40.205798Z"
+ "iopub.execute_input": "2024-11-29T15:34:41.352869Z",
+ "iopub.status.busy": "2024-11-29T15:34:41.352644Z",
+ "iopub.status.idle": "2024-11-29T15:34:42.283368Z",
+ "shell.execute_reply": "2024-11-29T15:34:42.282710Z"
}
},
"outputs": [
@@ -1242,10 +1242,10 @@
"execution_count": 35,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:40.216235Z",
- "iopub.status.busy": "2023-12-01T10:37:40.216043Z",
- "iopub.status.idle": "2023-12-01T10:37:40.220962Z",
- "shell.execute_reply": "2023-12-01T10:37:40.220559Z"
+ "iopub.execute_input": "2024-11-29T15:34:42.286331Z",
+ "iopub.status.busy": "2024-11-29T15:34:42.286100Z",
+ "iopub.status.idle": "2024-11-29T15:34:42.291204Z",
+ "shell.execute_reply": "2024-11-29T15:34:42.290721Z"
}
},
"outputs": [
diff --git a/notebooks/postel/spectrum.ipynb b/notebooks/postel/spectrum.ipynb
index 465a8875a7..349750e06c 100644
--- a/notebooks/postel/spectrum.ipynb
+++ b/notebooks/postel/spectrum.ipynb
@@ -14,10 +14,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:41.011771Z",
- "iopub.status.busy": "2023-12-01T10:37:41.011592Z",
- "iopub.status.idle": "2023-12-01T10:37:41.605602Z",
- "shell.execute_reply": "2023-12-01T10:37:41.605055Z"
+ "iopub.execute_input": "2024-11-29T15:34:43.104294Z",
+ "iopub.status.busy": "2024-11-29T15:34:43.104098Z",
+ "iopub.status.idle": "2024-11-29T15:34:43.685717Z",
+ "shell.execute_reply": "2024-11-29T15:34:43.685146Z"
}
},
"outputs": [
@@ -79,10 +79,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:41.609369Z",
- "iopub.status.busy": "2023-12-01T10:37:41.609060Z",
- "iopub.status.idle": "2023-12-01T10:37:41.838141Z",
- "shell.execute_reply": "2023-12-01T10:37:41.837702Z"
+ "iopub.execute_input": "2024-11-29T15:34:43.690001Z",
+ "iopub.status.busy": "2024-11-29T15:34:43.689735Z",
+ "iopub.status.idle": "2024-11-29T15:34:43.959208Z",
+ "shell.execute_reply": "2024-11-29T15:34:43.958661Z"
}
},
"outputs": [
@@ -149,10 +149,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:41.842249Z",
- "iopub.status.busy": "2023-12-01T10:37:41.842060Z",
- "iopub.status.idle": "2023-12-01T10:37:42.209304Z",
- "shell.execute_reply": "2023-12-01T10:37:42.208770Z"
+ "iopub.execute_input": "2024-11-29T15:34:43.964650Z",
+ "iopub.status.busy": "2024-11-29T15:34:43.964433Z",
+ "iopub.status.idle": "2024-11-29T15:34:44.343223Z",
+ "shell.execute_reply": "2024-11-29T15:34:44.342677Z"
}
},
"outputs": [
diff --git a/notebooks/pretel/alter.ipynb b/notebooks/pretel/alter.ipynb
index 547d7ac14d..66cb9bebb4 100644
--- a/notebooks/pretel/alter.ipynb
+++ b/notebooks/pretel/alter.ipynb
@@ -28,10 +28,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:43.202597Z",
- "iopub.status.busy": "2023-12-01T10:37:43.201059Z",
- "iopub.status.idle": "2023-12-01T10:37:43.664606Z",
- "shell.execute_reply": "2023-12-01T10:37:43.663252Z"
+ "iopub.execute_input": "2024-11-29T15:34:45.409393Z",
+ "iopub.status.busy": "2024-11-29T15:34:45.409198Z",
+ "iopub.status.idle": "2024-11-29T15:34:45.851295Z",
+ "shell.execute_reply": "2024-11-29T15:34:45.850705Z"
}
},
"outputs": [
@@ -150,10 +150,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:43.669817Z",
- "iopub.status.busy": "2023-12-01T10:37:43.669366Z",
- "iopub.status.idle": "2023-12-01T10:37:45.066600Z",
- "shell.execute_reply": "2023-12-01T10:37:45.065986Z"
+ "iopub.execute_input": "2024-11-29T15:34:45.854350Z",
+ "iopub.status.busy": "2024-11-29T15:34:45.854153Z",
+ "iopub.status.idle": "2024-11-29T15:34:47.195086Z",
+ "shell.execute_reply": "2024-11-29T15:34:47.194507Z"
}
},
"outputs": [
@@ -165,16 +165,27 @@
"\r\n",
"Interpreting command line options\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
- "\r\n"
+ "\r\n",
+ " ~> New range of records: [1, 3, 5, 7, 9, 11, 13, 15, 17, 19]\r\n",
+ " ~> New range of times: [0.2 0.60000002 1. 1.39999998 1.79999995 2.20000005\r\n",
+ " 2.5999999 3. 3.4000001 3.79999995]\r\n",
+ "[ ] 0% | ---s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " ~> New range of records: [1, 3, 5, 7, 9, 11, 13, 15, 17, 19]\r\n",
- " ~> New range of times: [0.2 0.60000002 1. 1.39999998 1.79999995 2.20000005\r\n",
- " 2.5999999 3. 3.4000001 3.79999995]\r\n",
+ "[\\\\\\\\\\\\ ] 10% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 20% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 30% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 40% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 50% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 60% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 70% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 80% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 90% | 1s\r",
+ " \r",
"\r\n",
"\r\n",
"My work is done\r\n",
@@ -186,14 +197,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "---"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
+ "---\n",
"+++\n",
"@@ -728,2 +728,2 @@\n",
"-2\n",
@@ -273,10 +277,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:45.068708Z",
- "iopub.status.busy": "2023-12-01T10:37:45.068541Z",
- "iopub.status.idle": "2023-12-01T10:37:46.514973Z",
- "shell.execute_reply": "2023-12-01T10:37:46.511881Z"
+ "iopub.execute_input": "2024-11-29T15:34:47.197332Z",
+ "iopub.status.busy": "2024-11-29T15:34:47.197143Z",
+ "iopub.status.idle": "2024-11-29T15:34:48.519454Z",
+ "shell.execute_reply": "2024-11-29T15:34:48.518823Z"
}
},
"outputs": [
@@ -291,6 +295,8 @@
"\r\n",
" ~> New range of records: [20]\r\n",
" ~> New range of times: [4.]\r\n",
+ "[ ] 0% | ---s\r",
+ " \r",
"\r\n",
"\r\n",
"My work is done\r\n",
@@ -337,10 +343,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:46.525421Z",
- "iopub.status.busy": "2023-12-01T10:37:46.524616Z",
- "iopub.status.idle": "2023-12-01T10:37:47.945875Z",
- "shell.execute_reply": "2023-12-01T10:37:47.945246Z"
+ "iopub.execute_input": "2024-11-29T15:34:48.521696Z",
+ "iopub.status.busy": "2024-11-29T15:34:48.521483Z",
+ "iopub.status.idle": "2024-11-29T15:34:49.843762Z",
+ "shell.execute_reply": "2024-11-29T15:34:49.843110Z"
}
},
"outputs": [
@@ -355,6 +361,10 @@
"\r\n",
" ~> New range of records: [1, 15, 20]\r\n",
" ~> New range of times: [0.2 3. 4. ]\r\n",
+ "[ ] 0% | ---s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 33% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 66% | 1s\r",
+ " \r",
"\r\n",
"\r\n",
"My work is done\r\n",
@@ -419,10 +429,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:47.948315Z",
- "iopub.status.busy": "2023-12-01T10:37:47.948069Z",
- "iopub.status.idle": "2023-12-01T10:37:49.364064Z",
- "shell.execute_reply": "2023-12-01T10:37:49.363380Z"
+ "iopub.execute_input": "2024-11-29T15:34:49.846693Z",
+ "iopub.status.busy": "2024-11-29T15:34:49.846474Z",
+ "iopub.status.idle": "2024-11-29T15:34:51.167967Z",
+ "shell.execute_reply": "2024-11-29T15:34:51.167433Z"
}
},
"outputs": [
@@ -439,6 +449,28 @@
" Removing VELOCITY U M/S\r\n",
" Removing VELOCITY V M/S\r\n",
" Using WATER DEPTH M\r\n",
+ "[ ] 0% | ---s\r",
+ "[\\\\\\ ] 4% | 1s\r",
+ "[\\\\\\\\\\\\ ] 9% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\ ] 14% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\ ] 19% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 23% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 28% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 33% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 38% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 42% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 47% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 52% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 57% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 61% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 66% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 71% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 76% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 80% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 85% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 90% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 95% | 1s\r",
+ " \r",
"\r\n",
"\r\n",
"My work is done\r\n",
@@ -561,10 +593,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:49.366605Z",
- "iopub.status.busy": "2023-12-01T10:37:49.366372Z",
- "iopub.status.idle": "2023-12-01T10:37:50.774221Z",
- "shell.execute_reply": "2023-12-01T10:37:50.772334Z"
+ "iopub.execute_input": "2024-11-29T15:34:51.170172Z",
+ "iopub.status.busy": "2024-11-29T15:34:51.169988Z",
+ "iopub.status.idle": "2024-11-29T15:34:52.493655Z",
+ "shell.execute_reply": "2024-11-29T15:34:52.492987Z"
}
},
"outputs": [
@@ -577,13 +609,29 @@
"Interpreting command line options\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
"\r\n",
- " ~> Switching to LITTLE_ENDIAN\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " ~> Switching to LITTLE_ENDIAN\r\n",
+ "[ ] 0% | ---s\r",
+ "[\\\\\\ ] 4% | 1s\r",
+ "[\\\\\\\\\\\\ ] 9% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\ ] 14% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\ ] 19% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 23% | 1s\r",
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 33% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 38% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 42% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 47% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 52% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 57% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 61% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 66% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 71% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 76% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 80% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 85% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 90% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 95% | 1s\r",
+ " \r",
"\r\n",
"\r\n",
"My work is done\r\n",
@@ -634,10 +682,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:50.785275Z",
- "iopub.status.busy": "2023-12-01T10:37:50.784368Z",
- "iopub.status.idle": "2023-12-01T10:37:52.171724Z",
- "shell.execute_reply": "2023-12-01T10:37:52.169886Z"
+ "iopub.execute_input": "2024-11-29T15:34:52.496537Z",
+ "iopub.status.busy": "2024-11-29T15:34:52.496350Z",
+ "iopub.status.idle": "2024-11-29T15:34:53.819360Z",
+ "shell.execute_reply": "2024-11-29T15:34:53.818779Z"
}
},
"outputs": [
@@ -650,13 +698,29 @@
"Interpreting command line options\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
"\r\n",
- " ~> New title: COCO L'ASTICOT\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " ~> New title: COCO L'ASTICOT\r\n",
+ "[ ] 0% | ---s\r",
+ "[\\\\\\ ] 4% | 1s\r",
+ "[\\\\\\\\\\\\ ] 9% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\ ] 14% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\ ] 19% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 23% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 28% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 33% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 38% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 42% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 47% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 52% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 57% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 61% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 66% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 71% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 76% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 80% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 85% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 90% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 95% | 1s\r",
+ " \r",
"\r\n",
"\r\n",
"My work is done\r\n",
@@ -739,10 +803,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:52.178979Z",
- "iopub.status.busy": "2023-12-01T10:37:52.178768Z",
- "iopub.status.idle": "2023-12-01T10:37:53.550916Z",
- "shell.execute_reply": "2023-12-01T10:37:53.550296Z"
+ "iopub.execute_input": "2024-11-29T15:34:53.821539Z",
+ "iopub.status.busy": "2024-11-29T15:34:53.821350Z",
+ "iopub.status.idle": "2024-11-29T15:34:55.143789Z",
+ "shell.execute_reply": "2024-11-29T15:34:55.143155Z"
}
},
"outputs": [
@@ -756,7 +820,28 @@
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
"\r\n",
" ~> Switching to double precision\r\n",
- " ~> Removing: r2d_gouttedo_float.slf\r\n",
+ "[ ] 0% | ---s\r",
+ "[\\\\\\ ] 4% | 1s\r",
+ "[\\\\\\\\\\\\ ] 9% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\ ] 14% | 1s\r",
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 23% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 28% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 33% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 38% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 42% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 47% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 52% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 57% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 61% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 66% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 71% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 76% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 80% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 85% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 90% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 95% | 1s\r",
+ " \r",
"\r\n",
"\r\n",
"My work is done\r\n",
@@ -809,10 +894,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:53.552989Z",
- "iopub.status.busy": "2023-12-01T10:37:53.552794Z",
- "iopub.status.idle": "2023-12-01T10:37:54.924197Z",
- "shell.execute_reply": "2023-12-01T10:37:54.923579Z"
+ "iopub.execute_input": "2024-11-29T15:34:55.145941Z",
+ "iopub.status.busy": "2024-11-29T15:34:55.145749Z",
+ "iopub.status.idle": "2024-11-29T15:34:56.470098Z",
+ "shell.execute_reply": "2024-11-29T15:34:56.469533Z"
}
},
"outputs": [
@@ -827,13 +912,18 @@
"\r\n",
" ~> reseting time from 0: [0. 0.20000005 0.4000001 0.5999999 0.79999995 1.\r\n",
" 1.20000005 1.4000001 1.5999999 1.79999995 2. ]\r\n",
- " ~> Removing: r2d_gouttedo_float.slf\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "[ ] 0% | ---s\r",
+ "[\\\\\\\\\\\\ ] 9% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\ ] 18% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 27% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 36% | 1s\r",
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 54% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 63% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 72% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 81% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 90% | 1s\r",
+ " \r",
"\r\n",
"\r\n",
"My work is done\r\n",
@@ -881,10 +971,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:54.926944Z",
- "iopub.status.busy": "2023-12-01T10:37:54.926745Z",
- "iopub.status.idle": "2023-12-01T10:37:56.363949Z",
- "shell.execute_reply": "2023-12-01T10:37:56.363307Z"
+ "iopub.execute_input": "2024-11-29T15:34:56.472336Z",
+ "iopub.status.busy": "2024-11-29T15:34:56.472151Z",
+ "iopub.status.idle": "2024-11-29T15:34:57.798069Z",
+ "shell.execute_reply": "2024-11-29T15:34:57.797491Z"
}
},
"outputs": [
@@ -898,7 +988,28 @@
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
"\r\n",
" ~> New date: 2020-06-06 06:06:06\r\n",
- " ~> Removing: r2d_gouttedo_float.slf\r\n",
+ "[ ] 0% | ---s\r",
+ "[\\\\\\ ] 4% | 1s\r",
+ "[\\\\\\\\\\\\ ] 9% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\ ] 14% | 1s\r",
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 52% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 57% | 1s\r",
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 71% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 76% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 80% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 85% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 90% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 95% | 1s\r",
+ " \r",
"\r\n",
"\r\n",
"My work is done\r\n",
@@ -982,10 +1093,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:37:56.366047Z",
- "iopub.status.busy": "2023-12-01T10:37:56.365880Z",
- "iopub.status.idle": "2023-12-01T10:37:57.768373Z",
- "shell.execute_reply": "2023-12-01T10:37:57.767802Z"
+ "iopub.execute_input": "2024-11-29T15:34:57.800327Z",
+ "iopub.status.busy": "2024-11-29T15:34:57.800138Z",
+ "iopub.status.idle": "2024-11-29T15:34:59.133965Z",
+ "shell.execute_reply": "2024-11-29T15:34:59.133352Z"
}
},
"outputs": [
@@ -1000,3565 +1111,186 @@
"\r\n",
"WATER DEPTH -> WATER DEPTH2\r\n",
" ~> Renaming WATER DEPTH -> WATER DEPTH2\r\n",
- " ~> Modifying WATER DEPTH2 at 0.00s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 0.20s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 0.40s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 0.60s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 0.80s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 1.00s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 1.20s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 1.40s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 1.60s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 1.80s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 2.00s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 2.20s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 2.40s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 2.60s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 2.80s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 3.00s: 2.0*val+10.0\r\n"
+ " ~> Modifying WATER DEPTH2: 2.0*val+10.0\r\n",
+ "[ ] 0% | ---s\r",
+ "[\\\\\\ ] 4% | 1s\r",
+ "[\\\\\\\\\\\\ ] 9% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\ ] 14% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\ ] 19% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 23% | 1s\r",
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 38% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 42% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 47% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 52% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 57% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 61% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 66% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 71% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 76% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 80% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 85% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 90% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 95% | 1s\r",
+ " \r",
+ "\r\n",
+ "\r\n",
+ "My work is done\r\n",
+ "\r\n",
+ "\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- " ~> Modifying WATER DEPTH2 at 3.20s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 3.40s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 3.60s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 3.80s: 2.0*val+10.0\r\n",
- " ~> Modifying WATER DEPTH2 at 4.00s: 2.0*val+10.0\r\n",
+ "---\n",
+ "+++\n",
+ "@@ -886 +886 @@\n",
+ "-\n",
+ "+2\n",
+ "@@ -4319,0 +4320 @@\n",
+ "+2\n"
+ ]
+ }
+ ],
+ "source": [
+ "!run_telfile.py scan --data r2d_gouttedo.slf > init.log\n",
+ "\n",
+ "# Modifcation of the values\n",
+ "!run_telfile.py alter r2d_gouttedo.slf r2d_gouttedo_new_water_depth.slf --rename=\"WATER DEPTH=WATER DEPTH2\" \\\n",
+ " --var?=\"WATER DEPTH2\" --var+? 10 --var*? 2 --force\n",
+ "\n",
+ "!run_telfile.py scan --data r2d_gouttedo_new_water_depth.slf > modif.log\n",
+ "\n",
+ "init_log = Path('init.log').read_text()\n",
+ "modif_log = Path('modif.log').read_text()\n",
+ "for delta in difflib.unified_diff(init_log, modif_log, n=0):\n",
+ " print(delta.strip())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Modification of coordinates\n",
+ "\n",
+ "We are going to do the following modifications:\n",
+ " * X = 10*X + 2\n",
+ " * Y = 2*Y + 5"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2024-11-29T15:34:59.136851Z",
+ "iopub.status.busy": "2024-11-29T15:34:59.136659Z",
+ "iopub.status.idle": "2024-11-29T15:35:00.580381Z",
+ "shell.execute_reply": "2024-11-29T15:35:00.579685Z"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"\r\n",
"\r\n",
- "My work is done\r\n",
+ "Interpreting command line options\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
"\r\n",
- "\r\n"
+ " ~> modification of coord x: 10.0*x+2.0\r\n",
+ " ~> modification of coord y: 2.0*y+5.0\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "---"
+ "WARNING:\r\n",
+ "Changing format to SERAFIND because segment are too small\r\n",
+ "[ ] 0% | ---s\r",
+ "[\\\\\\ ] 4% | 1s\r",
+ "[\\\\\\\\\\\\ ] 9% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\ ] 14% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\ ] 19% | 1s\r",
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 52% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 57% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 61% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 66% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 71% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 76% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 80% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 85% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 90% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 95% | 1s\r",
+ " \r",
+ "\r\n",
+ "\r\n",
+ "My work is done\r\n",
+ "\r\n",
+ "\r\n"
]
},
{
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- "+2\n",
- "+2\n",
- "+2\n",
- "+6\n",
- "+6\n"
- ]
- }
- ],
- "source": [
- "!run_telfile.py scan --data r2d_gouttedo.slf > init.log\n",
- "\n",
- "# Modifcation of the values\n",
- "!run_telfile.py alter r2d_gouttedo.slf r2d_gouttedo_new_water_depth.slf --rename=\"WATER DEPTH=WATER DEPTH2\" \\\n",
- " --var?=\"WATER DEPTH2\" --var+? 10 --var*? 2 --force\n",
- "\n",
- "!run_telfile.py scan --data r2d_gouttedo_new_water_depth.slf > modif.log\n",
- "\n",
- "init_log = Path('init.log').read_text()\n",
- "modif_log = Path('modif.log').read_text()\n",
- "for delta in difflib.unified_diff(init_log, modif_log, n=0):\n",
- " print(delta.strip())"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Modification of coordinates\n",
- "\n",
- "We are going to do the following modifications:\n",
- " * X = 10*X + 2\n",
- " * Y = 2*Y + 5"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "metadata": {
- "execution": {
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- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\r\n",
- "\r\n",
- "Interpreting command line options\r\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
- "\r\n",
- " ~> modification of coord x: 10.0*x+2.0\r\n",
- " ~> modification of coord y: 2.0*y+5.0\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "WARNING:\r\n",
- "Changing format to SERAFIND because segment are too small\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\r\n",
- "\r\n",
- "My work is done\r\n",
- "\r\n",
- "\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "---\n",
- "+++\n",
- "@@ -219,0 +220 @@\n",
- "+D\n",
- "@@ -263,4 +264,4 @@\n",
- "-S\n",
- "-i\n",
- "-n\n",
- "-g\n",
- "+D\n",
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- "@@ -587,6 +592,0 @@\n",
+ "-6\n",
+ "+2\n",
+ "+2\n",
+ "+0\n",
+ "+7\n",
+ "+0\n",
+ "+3\n",
+ "@@ -587,6 +592,0 @@\n",
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"name": "stdout",
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+ "[ ] 0% | ---s\r",
+ " \r",
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+ "[ ] 0% | ---s\r",
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+ "[ ] 0% | ---s\r",
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@@ -4908,13 +1646,29 @@
"\r\n",
"Interpreting command line options\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
- "\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "\r\n",
+ "[ ] 0% | ---s\r",
+ "[\\\\\\ ] 4% | 1s\r",
+ "[\\\\\\\\\\\\ ] 9% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\ ] 14% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\ ] 19% | 1s\r",
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 95% | 1s\r",
+ " \r",
"\r\n",
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"My work is done\r\n",
@@ -4926,14 +1680,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "---"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
+ "---\n",
"+++\n",
"@@ -511,0 +512,3 @@\n",
"+2\n",
diff --git a/notebooks/pretel/check_cas.ipynb b/notebooks/pretel/check_cas.ipynb
index 8f5b189d95..fe269849f0 100644
--- a/notebooks/pretel/check_cas.ipynb
+++ b/notebooks/pretel/check_cas.ipynb
@@ -19,10 +19,10 @@
"execution_count": 1,
"metadata": {
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@@ -89,10 +89,10 @@
"execution_count": 2,
"metadata": {
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+ "shell.execute_reply": "2024-11-29T15:35:07.762832Z"
}
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"outputs": [
@@ -136,10 +136,10 @@
"execution_count": 3,
"metadata": {
"execution": {
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- "shell.execute_reply": "2023-12-01T10:38:09.743247Z"
+ "iopub.execute_input": "2024-11-29T15:35:07.766294Z",
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+ "shell.execute_reply": "2024-11-29T15:35:11.265114Z"
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},
@@ -168,18 +168,20 @@
"GRAPHIC PRINTOUT PERIOD set to default value 1\r\n",
"LISTING PRINTOUT PERIOD set to default value 1\r\n",
"TURBULENCE MODEL set to default value 1\r\n",
- " ~> Checking computation continued coherence\r\n",
- " ~> Displaying simulation date\r\n",
- "Starting date: 1900-01-01 00:08:10\r\n",
- "Ending date: 1900-01-01 00:09:50\r\n",
- " ~> Checking atmo ascii file time coherence\r\n",
- "Time range of the atmospheric data 1900-01-01 00:00:00 to 1900-01-01 00:16:40\r\n",
- " ~> OK\r\n",
- "\r\n",
- "\r\n",
- "My work is done\r\n",
- "\r\n",
- "\r\n"
+ "Traceback (most recent call last):\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/manip_cas.py\", line 254, in <module>\r\n",
+ " sys.exit(main())\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/manip_cas.py\", line 229, in main\r\n",
+ " check_cas(args.module, cas)\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/pretel/check_cas.py\", line 28, in check_cas\r\n",
+ " check_time(module, cas)\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/pretel/check_cas.py\", line 206, in check_time\r\n",
+ " check_previous_comp(module, cas)\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/pretel/check_cas.py\", line 161, in check_previous_comp\r\n",
+ " previous_comp = cas.get(comp_cont)\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/execution/telemac_cas.py\", line 566, in get\r\n",
+ " raise TelemacException(\r\n",
+ "utils.exceptions.TelemacException: keyword: COMPUTATION CONTINUED not in dictionary\r\n"
]
}
],
@@ -204,10 +206,10 @@
"execution_count": 4,
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@@ -251,10 +253,10 @@
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@@ -301,10 +303,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:13.310790Z",
- "iopub.status.busy": "2023-12-01T10:38:13.310580Z",
- "iopub.status.idle": "2023-12-01T10:38:13.314673Z",
- "shell.execute_reply": "2023-12-01T10:38:13.314277Z"
+ "iopub.execute_input": "2024-11-29T15:35:15.213171Z",
+ "iopub.status.busy": "2024-11-29T15:35:15.212909Z",
+ "iopub.status.idle": "2024-11-29T15:35:15.217639Z",
+ "shell.execute_reply": "2024-11-29T15:35:15.217025Z"
},
"scrolled": true
},
@@ -373,8 +375,6 @@
"/ INITIAL CONDITIONS\n",
"/----------------------------------------------\n",
"/\n",
- "SUITE DE CALCUL = YES\n",
- "/\n",
"/----------------------------------------------\n",
"/ PHYSICAL PARAMETERS\n",
"/----------------------------------------------\n",
@@ -405,7 +405,10 @@
"/\n",
"/ DEFAULT VALUE UNTIL V8P1 KEPT FOR NON REGRESSION\n",
"COEFFICIENT D'INFLUENCE DU VENT DEPENDANT DE LA VITESSE DU VENT = NO\n",
- "TRAITEMENT DU SYSTEME LINEAIRE = 1\n"
+ "TRAITEMENT DU SYSTEME LINEAIRE = 1\n",
+ "/\n",
+ "/ DEFAULT VALUE UNTIL V8P5 KEPT FOR NON REGRESSION\n",
+ "TRAITEMENT DES HAUTEURS NEGATIVES = 1\n"
]
}
],
@@ -426,10 +429,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:13.316496Z",
- "iopub.status.busy": "2023-12-01T10:38:13.316323Z",
- "iopub.status.idle": "2023-12-01T10:38:13.319369Z",
- "shell.execute_reply": "2023-12-01T10:38:13.318952Z"
+ "iopub.execute_input": "2024-11-29T15:35:15.220270Z",
+ "iopub.status.busy": "2024-11-29T15:35:15.219976Z",
+ "iopub.status.idle": "2024-11-29T15:35:15.224320Z",
+ "shell.execute_reply": "2024-11-29T15:35:15.223667Z"
},
"scrolled": true
},
@@ -498,8 +501,6 @@
"/ INITIAL CONDITIONS\n",
"/----------------------------------------------\n",
"/\n",
- "COMPUTATION CONTINUED = YES\n",
- "/\n",
"/----------------------------------------------\n",
"/ PHYSICAL PARAMETERS\n",
"/----------------------------------------------\n",
@@ -530,7 +531,10 @@
"/\n",
"/ DEFAULT VALUE UNTIL V8P1 KEPT FOR NON REGRESSION\n",
"COEFFICIENT OF WIND INFLUENCE VARYING WITH WIND SPEED = NO\n",
- "TREATMENT OF THE LINEAR SYSTEM = 1\n"
+ "TREATMENT OF THE LINEAR SYSTEM = 1\n",
+ "/\n",
+ "/ DEFAULT VALUE UNTIL V8P5 KEPT FOR NON REGRESSION\n",
+ "TREATMENT OF NEGATIVE DEPTHS = 1\n"
]
}
],
@@ -553,10 +557,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:13.321351Z",
- "iopub.status.busy": "2023-12-01T10:38:13.321159Z",
- "iopub.status.idle": "2023-12-01T10:38:13.788405Z",
- "shell.execute_reply": "2023-12-01T10:38:13.787200Z"
+ "iopub.execute_input": "2024-11-29T15:35:15.227014Z",
+ "iopub.status.busy": "2024-11-29T15:35:15.226771Z",
+ "iopub.status.idle": "2024-11-29T15:35:15.687484Z",
+ "shell.execute_reply": "2024-11-29T15:35:15.686833Z"
}
},
"outputs": [
@@ -602,10 +606,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:13.793937Z",
- "iopub.status.busy": "2023-12-01T10:38:13.793554Z",
- "iopub.status.idle": "2023-12-01T10:38:16.912579Z",
- "shell.execute_reply": "2023-12-01T10:38:16.910281Z"
+ "iopub.execute_input": "2024-11-29T15:35:15.690501Z",
+ "iopub.status.busy": "2024-11-29T15:35:15.689990Z",
+ "iopub.status.idle": "2024-11-29T15:35:19.183770Z",
+ "shell.execute_reply": "2024-11-29T15:35:19.183092Z"
},
"scrolled": true
},
@@ -645,10 +649,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:16.919803Z",
- "iopub.status.busy": "2023-12-01T10:38:16.919592Z",
- "iopub.status.idle": "2023-12-01T10:38:16.923351Z",
- "shell.execute_reply": "2023-12-01T10:38:16.922928Z"
+ "iopub.execute_input": "2024-11-29T15:35:19.187034Z",
+ "iopub.status.busy": "2024-11-29T15:35:19.186333Z",
+ "iopub.status.idle": "2024-11-29T15:35:19.189823Z",
+ "shell.execute_reply": "2024-11-29T15:35:19.189475Z"
},
"scrolled": true
},
@@ -667,7 +671,6 @@
"FORTRAN FILE = 'user_fortran'\n",
"BOUNDARY CONDITIONS FILE = 'geo_wind.cli'\n",
"/// 1.2-restart\n",
- "COMPUTATION CONTINUED = True\n",
"PREVIOUS COMPUTATION FILE = 'ini_wind.slf'\n",
"/// 1.3-output files\n",
"/// 1.3.1-results files\n",
@@ -714,6 +717,9 @@
"/// 5-turbulence\n",
"VELOCITY DIFFUSIVITY = 0.0\n",
"TURBULENCE MODEL = 1\n",
+ "////////////////////////////////////////////////////////////////////////\n",
+ "/// 6-tidal flats info\n",
+ "TREATMENT OF NEGATIVE DEPTHS = 1\n",
"\n"
]
}
diff --git a/notebooks/pretel/converter.ipynb b/notebooks/pretel/converter.ipynb
index 745fcdd7c6..66b9bb381f 100644
--- a/notebooks/pretel/converter.ipynb
+++ b/notebooks/pretel/converter.ipynb
@@ -22,10 +22,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:17.883195Z",
- "iopub.status.busy": "2023-12-01T10:38:17.882708Z",
- "iopub.status.idle": "2023-12-01T10:38:18.347987Z",
- "shell.execute_reply": "2023-12-01T10:38:18.345086Z"
+ "iopub.execute_input": "2024-11-29T15:35:19.945223Z",
+ "iopub.status.busy": "2024-11-29T15:35:19.945022Z",
+ "iopub.status.idle": "2024-11-29T15:35:20.436674Z",
+ "shell.execute_reply": "2024-11-29T15:35:20.435983Z"
}
},
"outputs": [
@@ -34,11 +34,11 @@
"output_type": "stream",
"text": [
"usage: converter.py [-h] [-c config name] [-f config file] [-r TELEMAC root]\r\n",
- " {ecmwf2srf,gebco2srf,hycom2srf,kenue2shp,dat2vtu,generate_atm,generate_bnd,srf2med,srf2vtk,med2srf,med2srfd,refine,sis2gaia,xml2py,extract_ptravers_res_to_geoc,convert_listing_courlis,report2xls,shp2i2s,shp2txt,txt2shp}\r\n",
+ " {ecmwf2srf,gebco2srf,hycom2srf,kenue2shp,dat2vtu,generate_atm,generate_bnd,srf2med,srf2vtk,med2srf,med2srfd,refine,sis2gaia,extract_ptravers_res_to_geoc,convert_listing_courlis,report2xls,shp2i2s,shp2txt,txt2shp}\r\n",
" ...\r\n",
"\r\n",
"positional arguments:\r\n",
- " {ecmwf2srf,gebco2srf,hycom2srf,kenue2shp,dat2vtu,generate_atm,generate_bnd,srf2med,srf2vtk,med2srf,med2srfd,refine,sis2gaia,xml2py,extract_ptravers_res_to_geoc,convert_listing_courlis,report2xls,shp2i2s,shp2txt,txt2shp}\r\n",
+ " {ecmwf2srf,gebco2srf,hycom2srf,kenue2shp,dat2vtu,generate_atm,generate_bnd,srf2med,srf2vtk,med2srf,med2srfd,refine,sis2gaia,extract_ptravers_res_to_geoc,convert_listing_courlis,report2xls,shp2i2s,shp2txt,txt2shp}\r\n",
" converter command to do\r\n",
" ecmwf2srf extracting ECMWF data into a serafin-format file\r\n",
" gebco2srf Extracting GEBCO data into a serafin-format file\r\n",
@@ -47,8 +47,8 @@
" dat2vtu Convert a drogues file (output of telemac) into a VTU\r\n",
" file (Paraview)\r\n",
" generate_atm Map weather type data (varying in space and time)\r\n",
- " containedinto a SELAFIN, onto a SELAFIN file of your\r\n",
- " choosing(your MESH)\r\n",
+ " contained into a mesh file, onto the geometry of\r\n",
+ " another mesh\r\n",
" generate_bnd A script to map 2D or 3D outter model results, stored\r\n",
" asSELAFIN files, onto the spatially and time varying\r\n",
" boundary of a spatially contained SELAFIN file of your\r\n",
@@ -60,9 +60,7 @@
" med2srf Conversion from MED to serafin single precision\r\n",
" med2srfd Conversion from MED to serafin double precision\r\n",
" refine Refinment of the mesh using stbtel\r\n",
- " sis2gaia Conversion of the steering file from SISYPHE to GAIA\r\n",
- " xml2py Convert a xml for validation into a Python for\r\n",
- " validation\r\n",
+ " sis2gaia Conversion of a steering file from SISYPHE to GAIA\r\n",
" extract_ptravers_res_to_geoc\r\n",
" Extract from ptravers Courlis res file to Courlis\r\n",
" geometryfile at a given record\r\n",
@@ -109,10 +107,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:18.355382Z",
- "iopub.status.busy": "2023-12-01T10:38:18.354949Z",
- "iopub.status.idle": "2023-12-01T10:38:19.843378Z",
- "shell.execute_reply": "2023-12-01T10:38:19.840271Z"
+ "iopub.execute_input": "2024-11-29T15:35:20.439699Z",
+ "iopub.status.busy": "2024-11-29T15:35:20.439490Z",
+ "iopub.status.idle": "2024-11-29T15:35:21.962922Z",
+ "shell.execute_reply": "2024-11-29T15:35:21.962208Z"
}
},
"outputs": [
@@ -140,7 +138,13 @@
" | | | | | || (_| || || | | |\r\n",
" |_| |_| |_| \\__,_||_||_| |_|\r\n",
" \r\n",
- " \r\n",
+ " \r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"\r\n",
"\r\n",
"Running your CAS file(s) for:\r\n",
@@ -179,10 +183,10 @@
"... checking parallelisation\r\n",
"\r\n",
"... handling temporary directories\r\n",
- " copying: stb.cas -> <root>/examples/python3/converter/stb.cas_2023-12-01-11h38min19s/STBCAS\r\n",
- " copying: stbtel.dico -> <root>/examples/python3/converter/stb.cas_2023-12-01-11h38min19s/STBDICO\r\n",
- " copying: mesh.slf -> <root>/examples/python3/converter/stb.cas_2023-12-01-11h38min19s/STBINP\r\n",
- " copying: mesh.cli -> <root>/examples/python3/converter/stb.cas_2023-12-01-11h38min19s/STBBND\r\n",
+ " copying: stb.cas -> <root>/examples/python3/converter/stb.cas_2024-11-29-16h35min21s/STBCAS\r\n",
+ " copying: stbtel.dico -> <root>/examples/python3/converter/stb.cas_2024-11-29-16h35min21s/STBDICO\r\n",
+ " copying: mesh.slf -> <root>/examples/python3/converter/stb.cas_2024-11-29-16h35min21s/STBINP\r\n",
+ " copying: mesh.cli -> <root>/examples/python3/converter/stb.cas_2024-11-29-16h35min21s/STBBND\r\n",
"[ ] 0% | ---s\r",
"[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 33% | 1s\r",
" \r",
@@ -201,18 +205,33 @@
"\r\n",
"\r\n",
"\r\n",
- "In /home/d60881/telemac/examples/python3/converter/stb.cas_2023-12-01-11h38min19s:\r\n",
- "mpirun --use-hwthread-cpus -np 1 /home/d60881/telemac/examples/python3/converter/stb.cas_2023-12-01-11h38min19s/out_stbtel\r\n",
+ "In /home/d60881/telemac/examples/python3/converter/stb.cas_2024-11-29-16h35min21s:\r\n",
+ "mpirun --use-hwthread-cpus -np 1 /home/d60881/telemac/examples/python3/converter/stb.cas_2024-11-29-16h35min21s/out_stbtel\r\n",
"\r\n",
"\r\n"
]
},
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\r\n",
+ "No protocol specified\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\r\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
"text": [
" MASTER PROCESSOR NUMBER 0 OF THE GROUP OF 1\r\n",
- " EXECUTABLE FILE: /home/d60881/telemac/examples/python3/converter/stb.cas_2023-12-01-11h38min19s/A.EXE\r\n",
+ " EXECUTABLE FILE: /home/d60881/telemac/examples/python3/converter/stb.cas_2024-11-29-16h35min21s/A.EXE\r\n",
" LISTING OF STBTEL------------------------------------------------------------------------------\r\n",
"\r\n",
" SSSSS TTTTT BBBB TTTTT EEEEE L\r\n",
@@ -221,7 +240,7 @@
" S T B B T E L\r\n",
" SSSSS T BBBB T EEEEE LLLLL\r\n",
"\r\n",
- " VERSION V8P5 FORTRAN 2003\r\n",
+ " VERSION MAIN FORTRAN 2003\r\n",
"\r\n",
" * * * /\\__/\\ * --- *\r\n",
" * / \\ / \\\r\n",
@@ -236,13 +255,7 @@
" | | \\ \\ | | \\ \\\r\n",
" | | \\ \\ | | \\ \\\r\n",
" ''' ''' ''' '''\r\n",
- "\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "\r\n",
" COMPUTER TIME: 0 SECONDS\r\n",
"\r\n",
" EXITING MPI\r\n",
@@ -298,10 +311,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:19.850857Z",
- "iopub.status.busy": "2023-12-01T10:38:19.850672Z",
- "iopub.status.idle": "2023-12-01T10:38:22.432582Z",
- "shell.execute_reply": "2023-12-01T10:38:22.429621Z"
+ "iopub.execute_input": "2024-11-29T15:35:21.965681Z",
+ "iopub.status.busy": "2024-11-29T15:35:21.965427Z",
+ "iopub.status.idle": "2024-11-29T15:35:24.400413Z",
+ "shell.execute_reply": "2024-11-29T15:35:24.399573Z"
}
},
"outputs": [],
@@ -328,10 +341,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:22.440940Z",
- "iopub.status.busy": "2023-12-01T10:38:22.440299Z",
- "iopub.status.idle": "2023-12-01T10:38:22.564351Z",
- "shell.execute_reply": "2023-12-01T10:38:22.561566Z"
+ "iopub.execute_input": "2024-11-29T15:35:24.403025Z",
+ "iopub.status.busy": "2024-11-29T15:35:24.402775Z",
+ "iopub.status.idle": "2024-11-29T15:35:24.518280Z",
+ "shell.execute_reply": "2024-11-29T15:35:24.517607Z"
}
},
"outputs": [
@@ -339,9 +352,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "oil_stuff_0.vtu oil_stuff_17.vtu oil_stuff_259.vtu oil_stuff_338.vtu\r\n",
- "oil_stuff_100.vtu oil_stuff_180.vtu oil_stuff_25.vtu oil_stuff_339.vtu\r\n",
- "oil_stuff_101.vtu oil_stuff_181.vtu oil_stuff_260.vtu oil_stuff_33.vtu\r\n",
+ "oil_stuff.pvd oil_stuff_177.vtu oil_stuff_256.vtu oil_stuff_335.vtu\r\n",
+ "oil_stuff_0.vtu oil_stuff_178.vtu oil_stuff_257.vtu oil_stuff_336.vtu\r\n",
+ "oil_stuff_1.vtu oil_stuff_179.vtu oil_stuff_258.vtu oil_stuff_337.vtu\r\n",
+ "oil_stuff_10.vtu oil_stuff_18.vtu oil_stuff_259.vtu oil_stuff_338.vtu\r\n",
+ "oil_stuff_100.vtu oil_stuff_180.vtu oil_stuff_26.vtu oil_stuff_339.vtu\r\n",
+ "oil_stuff_101.vtu oil_stuff_181.vtu oil_stuff_260.vtu oil_stuff_34.vtu\r\n",
"oil_stuff_102.vtu oil_stuff_182.vtu oil_stuff_261.vtu oil_stuff_340.vtu\r\n",
"oil_stuff_103.vtu oil_stuff_183.vtu oil_stuff_262.vtu oil_stuff_341.vtu\r\n",
"oil_stuff_104.vtu oil_stuff_184.vtu oil_stuff_263.vtu oil_stuff_342.vtu\r\n",
@@ -350,83 +366,80 @@
"oil_stuff_107.vtu oil_stuff_187.vtu oil_stuff_266.vtu oil_stuff_345.vtu\r\n",
"oil_stuff_108.vtu oil_stuff_188.vtu oil_stuff_267.vtu oil_stuff_346.vtu\r\n",
"oil_stuff_109.vtu oil_stuff_189.vtu oil_stuff_268.vtu oil_stuff_347.vtu\r\n",
- "oil_stuff_10.vtu oil_stuff_18.vtu oil_stuff_269.vtu oil_stuff_348.vtu\r\n",
- "oil_stuff_110.vtu oil_stuff_190.vtu oil_stuff_26.vtu oil_stuff_349.vtu\r\n",
- "oil_stuff_111.vtu oil_stuff_191.vtu oil_stuff_270.vtu oil_stuff_34.vtu\r\n",
- "oil_stuff_112.vtu oil_stuff_192.vtu oil_stuff_271.vtu oil_stuff_35.vtu\r\n",
- "oil_stuff_113.vtu oil_stuff_193.vtu oil_stuff_272.vtu oil_stuff_36.vtu\r\n",
- "oil_stuff_114.vtu oil_stuff_194.vtu oil_stuff_273.vtu oil_stuff_37.vtu\r\n",
- "oil_stuff_115.vtu oil_stuff_195.vtu oil_stuff_274.vtu oil_stuff_38.vtu\r\n",
- "oil_stuff_116.vtu oil_stuff_196.vtu oil_stuff_275.vtu oil_stuff_39.vtu\r\n",
- "oil_stuff_117.vtu oil_stuff_197.vtu oil_stuff_276.vtu oil_stuff_3.vtu\r\n",
- "oil_stuff_118.vtu oil_stuff_198.vtu oil_stuff_277.vtu oil_stuff_40.vtu\r\n",
- "oil_stuff_119.vtu oil_stuff_199.vtu oil_stuff_278.vtu oil_stuff_41.vtu\r\n",
- "oil_stuff_11.vtu oil_stuff_19.vtu oil_stuff_279.vtu oil_stuff_42.vtu\r\n",
- "oil_stuff_120.vtu oil_stuff_1.vtu oil_stuff_27.vtu oil_stuff_43.vtu\r\n",
- "oil_stuff_121.vtu oil_stuff_200.vtu oil_stuff_280.vtu oil_stuff_44.vtu\r\n",
- "oil_stuff_122.vtu oil_stuff_201.vtu oil_stuff_281.vtu oil_stuff_45.vtu\r\n",
- "oil_stuff_123.vtu oil_stuff_202.vtu oil_stuff_282.vtu oil_stuff_46.vtu\r\n",
- "oil_stuff_124.vtu oil_stuff_203.vtu oil_stuff_283.vtu oil_stuff_47.vtu\r\n",
- "oil_stuff_125.vtu oil_stuff_204.vtu oil_stuff_284.vtu oil_stuff_48.vtu\r\n",
- "oil_stuff_126.vtu oil_stuff_205.vtu oil_stuff_285.vtu oil_stuff_49.vtu\r\n",
- "oil_stuff_127.vtu oil_stuff_206.vtu oil_stuff_286.vtu oil_stuff_4.vtu\r\n",
- "oil_stuff_128.vtu oil_stuff_207.vtu oil_stuff_287.vtu oil_stuff_50.vtu\r\n",
- "oil_stuff_129.vtu oil_stuff_208.vtu oil_stuff_288.vtu oil_stuff_51.vtu\r\n",
- "oil_stuff_12.vtu oil_stuff_209.vtu oil_stuff_289.vtu oil_stuff_52.vtu\r\n",
- "oil_stuff_130.vtu oil_stuff_20.vtu oil_stuff_28.vtu oil_stuff_53.vtu\r\n",
- "oil_stuff_131.vtu oil_stuff_210.vtu oil_stuff_290.vtu oil_stuff_54.vtu\r\n",
- "oil_stuff_132.vtu oil_stuff_211.vtu oil_stuff_291.vtu oil_stuff_55.vtu\r\n",
- "oil_stuff_133.vtu oil_stuff_212.vtu oil_stuff_292.vtu oil_stuff_56.vtu\r\n",
- "oil_stuff_134.vtu oil_stuff_213.vtu oil_stuff_293.vtu oil_stuff_57.vtu\r\n",
- "oil_stuff_135.vtu oil_stuff_214.vtu oil_stuff_294.vtu oil_stuff_58.vtu\r\n",
- "oil_stuff_136.vtu oil_stuff_215.vtu oil_stuff_295.vtu oil_stuff_59.vtu\r\n",
- "oil_stuff_137.vtu oil_stuff_216.vtu oil_stuff_296.vtu oil_stuff_5.vtu\r\n",
- "oil_stuff_138.vtu oil_stuff_217.vtu oil_stuff_297.vtu oil_stuff_60.vtu\r\n",
- "oil_stuff_139.vtu oil_stuff_218.vtu oil_stuff_298.vtu oil_stuff_61.vtu\r\n",
- "oil_stuff_13.vtu oil_stuff_219.vtu oil_stuff_299.vtu oil_stuff_62.vtu\r\n",
- "oil_stuff_140.vtu oil_stuff_21.vtu oil_stuff_29.vtu oil_stuff_63.vtu\r\n",
- "oil_stuff_141.vtu oil_stuff_220.vtu oil_stuff_2.vtu oil_stuff_64.vtu\r\n",
- "oil_stuff_142.vtu oil_stuff_221.vtu oil_stuff_300.vtu oil_stuff_65.vtu\r\n",
- "oil_stuff_143.vtu oil_stuff_222.vtu oil_stuff_301.vtu oil_stuff_66.vtu\r\n",
- "oil_stuff_144.vtu oil_stuff_223.vtu oil_stuff_302.vtu oil_stuff_67.vtu\r\n",
- "oil_stuff_145.vtu oil_stuff_224.vtu oil_stuff_303.vtu oil_stuff_68.vtu\r\n",
- "oil_stuff_146.vtu oil_stuff_225.vtu oil_stuff_304.vtu oil_stuff_69.vtu\r\n",
- "oil_stuff_147.vtu oil_stuff_226.vtu oil_stuff_305.vtu oil_stuff_6.vtu\r\n",
- "oil_stuff_148.vtu oil_stuff_227.vtu oil_stuff_306.vtu oil_stuff_70.vtu\r\n",
- "oil_stuff_149.vtu oil_stuff_228.vtu oil_stuff_307.vtu oil_stuff_71.vtu\r\n",
- "oil_stuff_14.vtu oil_stuff_229.vtu oil_stuff_308.vtu oil_stuff_72.vtu\r\n",
- "oil_stuff_150.vtu oil_stuff_22.vtu oil_stuff_309.vtu oil_stuff_73.vtu\r\n",
- "oil_stuff_151.vtu oil_stuff_230.vtu oil_stuff_30.vtu oil_stuff_74.vtu\r\n",
- "oil_stuff_152.vtu oil_stuff_231.vtu oil_stuff_310.vtu oil_stuff_75.vtu\r\n",
- "oil_stuff_153.vtu oil_stuff_232.vtu oil_stuff_311.vtu oil_stuff_76.vtu\r\n",
- "oil_stuff_154.vtu oil_stuff_233.vtu oil_stuff_312.vtu oil_stuff_77.vtu\r\n",
- "oil_stuff_155.vtu oil_stuff_234.vtu oil_stuff_313.vtu oil_stuff_78.vtu\r\n",
- "oil_stuff_156.vtu oil_stuff_235.vtu oil_stuff_314.vtu oil_stuff_79.vtu\r\n",
- "oil_stuff_157.vtu oil_stuff_236.vtu oil_stuff_315.vtu oil_stuff_7.vtu\r\n",
- "oil_stuff_158.vtu oil_stuff_237.vtu oil_stuff_316.vtu oil_stuff_80.vtu\r\n",
- "oil_stuff_159.vtu oil_stuff_238.vtu oil_stuff_317.vtu oil_stuff_81.vtu\r\n",
- "oil_stuff_15.vtu oil_stuff_239.vtu oil_stuff_318.vtu oil_stuff_82.vtu\r\n",
- "oil_stuff_160.vtu oil_stuff_23.vtu oil_stuff_319.vtu oil_stuff_83.vtu\r\n",
- "oil_stuff_161.vtu oil_stuff_240.vtu oil_stuff_31.vtu oil_stuff_84.vtu\r\n",
- "oil_stuff_162.vtu oil_stuff_241.vtu oil_stuff_320.vtu oil_stuff_85.vtu\r\n",
- "oil_stuff_163.vtu oil_stuff_242.vtu oil_stuff_321.vtu oil_stuff_86.vtu\r\n",
- "oil_stuff_164.vtu oil_stuff_243.vtu oil_stuff_322.vtu oil_stuff_87.vtu\r\n",
- "oil_stuff_165.vtu oil_stuff_244.vtu oil_stuff_323.vtu oil_stuff_88.vtu\r\n",
- "oil_stuff_166.vtu oil_stuff_245.vtu oil_stuff_324.vtu oil_stuff_89.vtu\r\n",
- "oil_stuff_167.vtu oil_stuff_246.vtu oil_stuff_325.vtu oil_stuff_8.vtu\r\n",
- "oil_stuff_168.vtu oil_stuff_247.vtu oil_stuff_326.vtu oil_stuff_90.vtu\r\n",
- "oil_stuff_169.vtu oil_stuff_248.vtu oil_stuff_327.vtu oil_stuff_91.vtu\r\n",
- "oil_stuff_16.vtu oil_stuff_249.vtu oil_stuff_328.vtu oil_stuff_92.vtu\r\n",
- "oil_stuff_170.vtu oil_stuff_24.vtu oil_stuff_329.vtu oil_stuff_93.vtu\r\n",
- "oil_stuff_171.vtu oil_stuff_250.vtu oil_stuff_32.vtu oil_stuff_94.vtu\r\n",
- "oil_stuff_172.vtu oil_stuff_251.vtu oil_stuff_330.vtu oil_stuff_95.vtu\r\n",
- "oil_stuff_173.vtu oil_stuff_252.vtu oil_stuff_331.vtu oil_stuff_96.vtu\r\n",
- "oil_stuff_174.vtu oil_stuff_253.vtu oil_stuff_332.vtu oil_stuff_97.vtu\r\n",
- "oil_stuff_175.vtu oil_stuff_254.vtu oil_stuff_333.vtu oil_stuff_98.vtu\r\n",
- "oil_stuff_176.vtu oil_stuff_255.vtu oil_stuff_334.vtu oil_stuff_99.vtu\r\n",
- "oil_stuff_177.vtu oil_stuff_256.vtu oil_stuff_335.vtu oil_stuff_9.vtu\r\n",
- "oil_stuff_178.vtu oil_stuff_257.vtu oil_stuff_336.vtu oil_stuff.pvd\r\n",
- "oil_stuff_179.vtu oil_stuff_258.vtu oil_stuff_337.vtu\r\n"
+ "oil_stuff_11.vtu oil_stuff_19.vtu oil_stuff_269.vtu oil_stuff_348.vtu\r\n",
+ "oil_stuff_110.vtu oil_stuff_190.vtu oil_stuff_27.vtu oil_stuff_349.vtu\r\n",
+ "oil_stuff_111.vtu oil_stuff_191.vtu oil_stuff_270.vtu oil_stuff_35.vtu\r\n",
+ "oil_stuff_112.vtu oil_stuff_192.vtu oil_stuff_271.vtu oil_stuff_36.vtu\r\n",
+ "oil_stuff_113.vtu oil_stuff_193.vtu oil_stuff_272.vtu oil_stuff_37.vtu\r\n",
+ "oil_stuff_114.vtu oil_stuff_194.vtu oil_stuff_273.vtu oil_stuff_38.vtu\r\n",
+ "oil_stuff_115.vtu oil_stuff_195.vtu oil_stuff_274.vtu oil_stuff_39.vtu\r\n",
+ "oil_stuff_116.vtu oil_stuff_196.vtu oil_stuff_275.vtu oil_stuff_4.vtu\r\n",
+ "oil_stuff_117.vtu oil_stuff_197.vtu oil_stuff_276.vtu oil_stuff_40.vtu\r\n",
+ "oil_stuff_118.vtu oil_stuff_198.vtu oil_stuff_277.vtu oil_stuff_41.vtu\r\n",
+ "oil_stuff_119.vtu oil_stuff_199.vtu oil_stuff_278.vtu oil_stuff_42.vtu\r\n",
+ "oil_stuff_12.vtu oil_stuff_2.vtu oil_stuff_279.vtu oil_stuff_43.vtu\r\n",
+ "oil_stuff_120.vtu oil_stuff_20.vtu oil_stuff_28.vtu oil_stuff_44.vtu\r\n",
+ "oil_stuff_121.vtu oil_stuff_200.vtu oil_stuff_280.vtu oil_stuff_45.vtu\r\n",
+ "oil_stuff_122.vtu oil_stuff_201.vtu oil_stuff_281.vtu oil_stuff_46.vtu\r\n",
+ "oil_stuff_123.vtu oil_stuff_202.vtu oil_stuff_282.vtu oil_stuff_47.vtu\r\n",
+ "oil_stuff_124.vtu oil_stuff_203.vtu oil_stuff_283.vtu oil_stuff_48.vtu\r\n",
+ "oil_stuff_125.vtu oil_stuff_204.vtu oil_stuff_284.vtu oil_stuff_49.vtu\r\n",
+ "oil_stuff_126.vtu oil_stuff_205.vtu oil_stuff_285.vtu oil_stuff_5.vtu\r\n",
+ "oil_stuff_127.vtu oil_stuff_206.vtu oil_stuff_286.vtu oil_stuff_50.vtu\r\n",
+ "oil_stuff_128.vtu oil_stuff_207.vtu oil_stuff_287.vtu oil_stuff_51.vtu\r\n",
+ "oil_stuff_129.vtu oil_stuff_208.vtu oil_stuff_288.vtu oil_stuff_52.vtu\r\n",
+ "oil_stuff_13.vtu oil_stuff_209.vtu oil_stuff_289.vtu oil_stuff_53.vtu\r\n",
+ "oil_stuff_130.vtu oil_stuff_21.vtu oil_stuff_29.vtu oil_stuff_54.vtu\r\n",
+ "oil_stuff_131.vtu oil_stuff_210.vtu oil_stuff_290.vtu oil_stuff_55.vtu\r\n",
+ "oil_stuff_132.vtu oil_stuff_211.vtu oil_stuff_291.vtu oil_stuff_56.vtu\r\n",
+ "oil_stuff_133.vtu oil_stuff_212.vtu oil_stuff_292.vtu oil_stuff_57.vtu\r\n",
+ "oil_stuff_134.vtu oil_stuff_213.vtu oil_stuff_293.vtu oil_stuff_58.vtu\r\n",
+ "oil_stuff_135.vtu oil_stuff_214.vtu oil_stuff_294.vtu oil_stuff_59.vtu\r\n",
+ "oil_stuff_136.vtu oil_stuff_215.vtu oil_stuff_295.vtu oil_stuff_6.vtu\r\n",
+ "oil_stuff_137.vtu oil_stuff_216.vtu oil_stuff_296.vtu oil_stuff_60.vtu\r\n",
+ "oil_stuff_138.vtu oil_stuff_217.vtu oil_stuff_297.vtu oil_stuff_61.vtu\r\n",
+ "oil_stuff_139.vtu oil_stuff_218.vtu oil_stuff_298.vtu oil_stuff_62.vtu\r\n",
+ "oil_stuff_14.vtu oil_stuff_219.vtu oil_stuff_299.vtu oil_stuff_63.vtu\r\n",
+ "oil_stuff_140.vtu oil_stuff_22.vtu oil_stuff_3.vtu oil_stuff_64.vtu\r\n",
+ "oil_stuff_141.vtu oil_stuff_220.vtu oil_stuff_30.vtu oil_stuff_65.vtu\r\n",
+ "oil_stuff_142.vtu oil_stuff_221.vtu oil_stuff_300.vtu oil_stuff_66.vtu\r\n",
+ "oil_stuff_143.vtu oil_stuff_222.vtu oil_stuff_301.vtu oil_stuff_67.vtu\r\n",
+ "oil_stuff_144.vtu oil_stuff_223.vtu oil_stuff_302.vtu oil_stuff_68.vtu\r\n",
+ "oil_stuff_145.vtu oil_stuff_224.vtu oil_stuff_303.vtu oil_stuff_69.vtu\r\n",
+ "oil_stuff_146.vtu oil_stuff_225.vtu oil_stuff_304.vtu oil_stuff_7.vtu\r\n",
+ "oil_stuff_147.vtu oil_stuff_226.vtu oil_stuff_305.vtu oil_stuff_70.vtu\r\n",
+ "oil_stuff_148.vtu oil_stuff_227.vtu oil_stuff_306.vtu oil_stuff_71.vtu\r\n",
+ "oil_stuff_149.vtu oil_stuff_228.vtu oil_stuff_307.vtu oil_stuff_72.vtu\r\n",
+ "oil_stuff_15.vtu oil_stuff_229.vtu oil_stuff_308.vtu oil_stuff_73.vtu\r\n",
+ "oil_stuff_150.vtu oil_stuff_23.vtu oil_stuff_309.vtu oil_stuff_74.vtu\r\n",
+ "oil_stuff_151.vtu oil_stuff_230.vtu oil_stuff_31.vtu oil_stuff_75.vtu\r\n",
+ "oil_stuff_152.vtu oil_stuff_231.vtu oil_stuff_310.vtu oil_stuff_76.vtu\r\n",
+ "oil_stuff_153.vtu oil_stuff_232.vtu oil_stuff_311.vtu oil_stuff_77.vtu\r\n",
+ "oil_stuff_154.vtu oil_stuff_233.vtu oil_stuff_312.vtu oil_stuff_78.vtu\r\n",
+ "oil_stuff_155.vtu oil_stuff_234.vtu oil_stuff_313.vtu oil_stuff_79.vtu\r\n",
+ "oil_stuff_156.vtu oil_stuff_235.vtu oil_stuff_314.vtu oil_stuff_8.vtu\r\n",
+ "oil_stuff_157.vtu oil_stuff_236.vtu oil_stuff_315.vtu oil_stuff_80.vtu\r\n",
+ "oil_stuff_158.vtu oil_stuff_237.vtu oil_stuff_316.vtu oil_stuff_81.vtu\r\n",
+ "oil_stuff_159.vtu oil_stuff_238.vtu oil_stuff_317.vtu oil_stuff_82.vtu\r\n",
+ "oil_stuff_16.vtu oil_stuff_239.vtu oil_stuff_318.vtu oil_stuff_83.vtu\r\n",
+ "oil_stuff_160.vtu oil_stuff_24.vtu oil_stuff_319.vtu oil_stuff_84.vtu\r\n",
+ "oil_stuff_161.vtu oil_stuff_240.vtu oil_stuff_32.vtu oil_stuff_85.vtu\r\n",
+ "oil_stuff_162.vtu oil_stuff_241.vtu oil_stuff_320.vtu oil_stuff_86.vtu\r\n",
+ "oil_stuff_163.vtu oil_stuff_242.vtu oil_stuff_321.vtu oil_stuff_87.vtu\r\n",
+ "oil_stuff_164.vtu oil_stuff_243.vtu oil_stuff_322.vtu oil_stuff_88.vtu\r\n",
+ "oil_stuff_165.vtu oil_stuff_244.vtu oil_stuff_323.vtu oil_stuff_89.vtu\r\n",
+ "oil_stuff_166.vtu oil_stuff_245.vtu oil_stuff_324.vtu oil_stuff_9.vtu\r\n",
+ "oil_stuff_167.vtu oil_stuff_246.vtu oil_stuff_325.vtu oil_stuff_90.vtu\r\n",
+ "oil_stuff_168.vtu oil_stuff_247.vtu oil_stuff_326.vtu oil_stuff_91.vtu\r\n",
+ "oil_stuff_169.vtu oil_stuff_248.vtu oil_stuff_327.vtu oil_stuff_92.vtu\r\n",
+ "oil_stuff_17.vtu oil_stuff_249.vtu oil_stuff_328.vtu oil_stuff_93.vtu\r\n",
+ "oil_stuff_170.vtu oil_stuff_25.vtu oil_stuff_329.vtu oil_stuff_94.vtu\r\n",
+ "oil_stuff_171.vtu oil_stuff_250.vtu oil_stuff_33.vtu oil_stuff_95.vtu\r\n",
+ "oil_stuff_172.vtu oil_stuff_251.vtu oil_stuff_330.vtu oil_stuff_96.vtu\r\n",
+ "oil_stuff_173.vtu oil_stuff_252.vtu oil_stuff_331.vtu oil_stuff_97.vtu\r\n",
+ "oil_stuff_174.vtu oil_stuff_253.vtu oil_stuff_332.vtu oil_stuff_98.vtu\r\n",
+ "oil_stuff_175.vtu oil_stuff_254.vtu oil_stuff_333.vtu oil_stuff_99.vtu\r\n",
+ "oil_stuff_176.vtu oil_stuff_255.vtu oil_stuff_334.vtu\r\n"
]
},
{
diff --git a/notebooks/pretel/corine_land_cover.ipynb b/notebooks/pretel/corine_land_cover.ipynb
index 42207b0fc2..b388c971d9 100644
--- a/notebooks/pretel/corine_land_cover.ipynb
+++ b/notebooks/pretel/corine_land_cover.ipynb
@@ -24,10 +24,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:23.693204Z",
- "iopub.status.busy": "2023-12-01T10:38:23.692862Z",
- "iopub.status.idle": "2023-12-01T10:38:27.913596Z",
- "shell.execute_reply": "2023-12-01T10:38:27.913107Z"
+ "iopub.execute_input": "2024-11-29T15:35:25.361438Z",
+ "iopub.status.busy": "2024-11-29T15:35:25.361244Z",
+ "iopub.status.idle": "2024-11-29T15:35:30.902948Z",
+ "shell.execute_reply": "2024-11-29T15:35:30.902431Z"
}
},
"outputs": [
@@ -1018,7 +1018,7 @@
{
"data": {
"text/html": [
- "<div id='2095abe0-9fce-4812-9844-7d2a683a4f3d'></div>"
+ "<div id='d9bfdfc2-0fdd-4e2f-b42e-8d95569b9290'></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
@@ -1026,6 +1026,13 @@
},
"metadata": {},
"output_type": "display_data"
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "WARNING:matplotlib.legend:No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
+ ]
}
],
"source": [
@@ -1068,10 +1075,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:27.915679Z",
- "iopub.status.busy": "2023-12-01T10:38:27.915497Z",
- "iopub.status.idle": "2023-12-01T10:38:28.154192Z",
- "shell.execute_reply": "2023-12-01T10:38:28.153613Z"
+ "iopub.execute_input": "2024-11-29T15:35:30.905593Z",
+ "iopub.status.busy": "2024-11-29T15:35:30.905400Z",
+ "iopub.status.idle": "2024-11-29T15:35:30.913055Z",
+ "shell.execute_reply": "2024-11-29T15:35:30.912573Z"
}
},
"outputs": [],
@@ -1120,10 +1127,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:28.156553Z",
- "iopub.status.busy": "2023-12-01T10:38:28.156344Z",
- "iopub.status.idle": "2023-12-01T10:38:28.211646Z",
- "shell.execute_reply": "2023-12-01T10:38:28.211172Z"
+ "iopub.execute_input": "2024-11-29T15:35:30.915372Z",
+ "iopub.status.busy": "2024-11-29T15:35:30.915174Z",
+ "iopub.status.idle": "2024-11-29T15:35:30.964276Z",
+ "shell.execute_reply": "2024-11-29T15:35:30.963813Z"
}
},
"outputs": [
@@ -2098,7 +2105,7 @@
{
"data": {
"text/html": [
- "<div id='389120fc-82bd-43b0-acea-9c884c91d9b8'></div>"
+ "<div id='9eb4a4ba-5a42-486a-8d80-93be17c7381f'></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
@@ -2106,6 +2113,14 @@
},
"metadata": {},
"output_type": "display_data"
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/d60881/telemac/scripts/python3/postel/plot2d.py:475: UserWarning: No contour levels were found within the data range.\n",
+ " img = axe.tricontour(mesh, data, colors=colors, **kwargs)\n"
+ ]
}
],
"source": [
@@ -2143,10 +2158,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:28.214304Z",
- "iopub.status.busy": "2023-12-01T10:38:28.214121Z",
- "iopub.status.idle": "2023-12-01T10:38:28.697749Z",
- "shell.execute_reply": "2023-12-01T10:38:28.695455Z"
+ "iopub.execute_input": "2024-11-29T15:35:30.966234Z",
+ "iopub.status.busy": "2024-11-29T15:35:30.966033Z",
+ "iopub.status.idle": "2024-11-29T15:35:31.417323Z",
+ "shell.execute_reply": "2024-11-29T15:35:31.416665Z"
}
},
"outputs": [
diff --git a/notebooks/pretel/courlis_convert.ipynb b/notebooks/pretel/courlis_convert.ipynb
index 4b82fe00df..a25012d3fc 100644
--- a/notebooks/pretel/courlis_convert.ipynb
+++ b/notebooks/pretel/courlis_convert.ipynb
@@ -20,10 +20,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:29.590243Z",
- "iopub.status.busy": "2023-12-01T10:38:29.590004Z",
- "iopub.status.idle": "2023-12-01T10:38:30.056707Z",
- "shell.execute_reply": "2023-12-01T10:38:30.053855Z"
+ "iopub.execute_input": "2024-11-29T15:35:32.509415Z",
+ "iopub.status.busy": "2024-11-29T15:35:32.509217Z",
+ "iopub.status.idle": "2024-11-29T15:35:32.995272Z",
+ "shell.execute_reply": "2024-11-29T15:35:32.994621Z"
}
},
"outputs": [
@@ -68,10 +68,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:30.060770Z",
- "iopub.status.busy": "2023-12-01T10:38:30.060588Z",
- "iopub.status.idle": "2023-12-01T10:38:30.560749Z",
- "shell.execute_reply": "2023-12-01T10:38:30.557490Z"
+ "iopub.execute_input": "2024-11-29T15:35:32.998343Z",
+ "iopub.status.busy": "2024-11-29T15:35:32.998122Z",
+ "iopub.status.idle": "2024-11-29T15:35:33.487825Z",
+ "shell.execute_reply": "2024-11-29T15:35:33.487198Z"
},
"scrolled": true
},
@@ -127,11 +127,11 @@
"\r\n",
"... processing the steering file\r\n",
"Traceback (most recent call last):\r\n",
- " File \"/home/d60881/telemac/scripts/python3/mascaret.py\", line 7, in <module>\r\n",
- " main('mascaret')\r\n",
- " File \"/home/d60881/telemac/scripts/python3/runcode.py\", line 288, in main\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/mascaret.py\", line 9, in <module>\r\n",
+ " sys.exit(main('mascaret'))\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/runcode.py\", line 287, in main\r\n",
" run_study(cas_file, code_name, options)\r\n",
- " File \"/home/d60881/telemac/scripts/python3/execution/run_cas.py\", line 156, in run_study\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/execution/run_cas.py\", line 157, in run_study\r\n",
" my_study = Study(\r\n",
" File \"/home/d60881/telemac/scripts/python3/execution/study.py\", line 56, in __init__\r\n",
" raise TelemacException(\r\n",
@@ -161,10 +161,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:30.564759Z",
- "iopub.status.busy": "2023-12-01T10:38:30.564577Z",
- "iopub.status.idle": "2023-12-01T10:38:31.079066Z",
- "shell.execute_reply": "2023-12-01T10:38:31.076422Z"
+ "iopub.execute_input": "2024-11-29T15:35:33.490882Z",
+ "iopub.status.busy": "2024-11-29T15:35:33.490681Z",
+ "iopub.status.idle": "2024-11-29T15:35:34.026939Z",
+ "shell.execute_reply": "2024-11-29T15:35:34.026222Z"
}
},
"outputs": [
@@ -206,10 +206,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:31.086716Z",
- "iopub.status.busy": "2023-12-01T10:38:31.086528Z",
- "iopub.status.idle": "2023-12-01T10:38:31.827684Z",
- "shell.execute_reply": "2023-12-01T10:38:31.824496Z"
+ "iopub.execute_input": "2024-11-29T15:35:34.029854Z",
+ "iopub.status.busy": "2024-11-29T15:35:34.029561Z",
+ "iopub.status.idle": "2024-11-29T15:35:34.798079Z",
+ "shell.execute_reply": "2024-11-29T15:35:34.797366Z"
}
},
"outputs": [
@@ -234,9 +234,9 @@
"output_type": "stream",
"text": [
"Traceback (most recent call last):\r\n",
- " File \"/home/d60881/telemac/scripts/python3/converter.py\", line 309, in <module>\r\n",
- " main()\r\n",
- " File \"/home/d60881/telemac/scripts/python3/converter.py\", line 266, in main\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/converter.py\", line 302, in <module>\r\n",
+ " sys.exit(main())\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/converter.py\", line 254, in main\r\n",
" convert_listing_courlis(options.args, options.outputFileName,\r\n",
" File \"/home/d60881/telemac/scripts/python3/pretel/convert_listing_courlis.py\", line 69, in convert_listing_courlis\r\n",
" writer.save()\r\n",
diff --git a/notebooks/pretel/data2srf.ipynb b/notebooks/pretel/data2srf.ipynb
index fb94dbf654..68bca5a02e 100644
--- a/notebooks/pretel/data2srf.ipynb
+++ b/notebooks/pretel/data2srf.ipynb
@@ -19,10 +19,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:32.829068Z",
- "iopub.status.busy": "2023-12-01T10:38:32.828248Z",
- "iopub.status.idle": "2023-12-01T10:38:33.296975Z",
- "shell.execute_reply": "2023-12-01T10:38:33.295176Z"
+ "iopub.execute_input": "2024-11-29T15:35:35.624367Z",
+ "iopub.status.busy": "2024-11-29T15:35:35.624185Z",
+ "iopub.status.idle": "2024-11-29T15:35:36.117236Z",
+ "shell.execute_reply": "2024-11-29T15:35:36.116580Z"
}
},
"outputs": [
@@ -31,11 +31,11 @@
"output_type": "stream",
"text": [
"usage: converter.py [-h] [-c config name] [-f config file] [-r TELEMAC root]\r\n",
- " {ecmwf2srf,gebco2srf,hycom2srf,kenue2shp,dat2vtu,generate_atm,generate_bnd,srf2med,srf2vtk,med2srf,med2srfd,refine,sis2gaia,xml2py,extract_ptravers_res_to_geoc,convert_listing_courlis,report2xls,shp2i2s,shp2txt,txt2shp}\r\n",
+ " {ecmwf2srf,gebco2srf,hycom2srf,kenue2shp,dat2vtu,generate_atm,generate_bnd,srf2med,srf2vtk,med2srf,med2srfd,refine,sis2gaia,extract_ptravers_res_to_geoc,convert_listing_courlis,report2xls,shp2i2s,shp2txt,txt2shp}\r\n",
" ...\r\n",
"\r\n",
"positional arguments:\r\n",
- " {ecmwf2srf,gebco2srf,hycom2srf,kenue2shp,dat2vtu,generate_atm,generate_bnd,srf2med,srf2vtk,med2srf,med2srfd,refine,sis2gaia,xml2py,extract_ptravers_res_to_geoc,convert_listing_courlis,report2xls,shp2i2s,shp2txt,txt2shp}\r\n",
+ " {ecmwf2srf,gebco2srf,hycom2srf,kenue2shp,dat2vtu,generate_atm,generate_bnd,srf2med,srf2vtk,med2srf,med2srfd,refine,sis2gaia,extract_ptravers_res_to_geoc,convert_listing_courlis,report2xls,shp2i2s,shp2txt,txt2shp}\r\n",
" converter command to do\r\n",
" ecmwf2srf extracting ECMWF data into a serafin-format file\r\n",
" gebco2srf Extracting GEBCO data into a serafin-format file\r\n",
@@ -44,8 +44,8 @@
" dat2vtu Convert a drogues file (output of telemac) into a VTU\r\n",
" file (Paraview)\r\n",
" generate_atm Map weather type data (varying in space and time)\r\n",
- " containedinto a SELAFIN, onto a SELAFIN file of your\r\n",
- " choosing(your MESH)\r\n",
+ " contained into a mesh file, onto the geometry of\r\n",
+ " another mesh\r\n",
" generate_bnd A script to map 2D or 3D outter model results, stored\r\n",
" asSELAFIN files, onto the spatially and time varying\r\n",
" boundary of a spatially contained SELAFIN file of your\r\n",
@@ -57,9 +57,7 @@
" med2srf Conversion from MED to serafin single precision\r\n",
" med2srfd Conversion from MED to serafin double precision\r\n",
" refine Refinment of the mesh using stbtel\r\n",
- " sis2gaia Conversion of the steering file from SISYPHE to GAIA\r\n",
- " xml2py Convert a xml for validation into a Python for\r\n",
- " validation\r\n",
+ " sis2gaia Conversion of a steering file from SISYPHE to GAIA\r\n",
" extract_ptravers_res_to_geoc\r\n",
" Extract from ptravers Courlis res file to Courlis\r\n",
" geometryfile at a given record\r\n",
@@ -104,10 +102,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:33.304926Z",
- "iopub.status.busy": "2023-12-01T10:38:33.304166Z",
- "iopub.status.idle": "2023-12-01T10:38:33.771659Z",
- "shell.execute_reply": "2023-12-01T10:38:33.770029Z"
+ "iopub.execute_input": "2024-11-29T15:35:36.120061Z",
+ "iopub.status.busy": "2024-11-29T15:35:36.119847Z",
+ "iopub.status.idle": "2024-11-29T15:35:36.601294Z",
+ "shell.execute_reply": "2024-11-29T15:35:36.600551Z"
}
},
"outputs": [
@@ -117,7 +115,7 @@
"text": [
"usage: converter.py ecmwf2srf [-h] [-f TFROM] [-s TSTOP] [--bl BLCORNER]\r\n",
" [--tr TRCORNER] [--dataset DATASET]\r\n",
- " [--stream {oper,wave,spec}]\r\n",
+ " [--stream {spec,wave,oper}]\r\n",
" root_name\r\n",
"\r\n",
"positional arguments:\r\n",
@@ -135,7 +133,7 @@
" the name of a grib or netcdf file or dirctory\r\n",
" contaiing grib or netcdf files, depending on periods\r\n",
" and resolution, etc.\r\n",
- " --stream {oper,wave,spec}\r\n",
+ " --stream {spec,wave,oper}\r\n",
" type of stream requested either 'oper' (atmospheric)\r\n",
" or 'wave' (waves), etc.\r\n"
]
@@ -159,10 +157,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:33.779118Z",
- "iopub.status.busy": "2023-12-01T10:38:33.778371Z",
- "iopub.status.idle": "2023-12-01T10:38:34.741821Z",
- "shell.execute_reply": "2023-12-01T10:38:34.741118Z"
+ "iopub.execute_input": "2024-11-29T15:35:36.604190Z",
+ "iopub.status.busy": "2024-11-29T15:35:36.603975Z",
+ "iopub.status.idle": "2024-11-29T15:35:37.543127Z",
+ "shell.execute_reply": "2024-11-29T15:35:37.542448Z"
},
"scrolled": true
},
@@ -335,7 +333,7 @@
" - Number of points: 81\r\n",
" - Number of elements: 128\r\n",
" - Number of points per element: 3\r\n",
- " - Number of planes: 1\r\n",
+ " - Number of planes: 0\r\n",
"\r\n",
" +> Coordinates\r\n",
"\r\n",
@@ -431,10 +429,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:34.744349Z",
- "iopub.status.busy": "2023-12-01T10:38:34.744174Z",
- "iopub.status.idle": "2023-12-01T10:38:35.205015Z",
- "shell.execute_reply": "2023-12-01T10:38:35.202766Z"
+ "iopub.execute_input": "2024-11-29T15:35:37.545516Z",
+ "iopub.status.busy": "2024-11-29T15:35:37.545288Z",
+ "iopub.status.idle": "2024-11-29T15:35:38.027882Z",
+ "shell.execute_reply": "2024-11-29T15:35:38.027217Z"
}
},
"outputs": [
@@ -471,10 +469,10 @@
"execution_count": 5,
"metadata": {
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- "iopub.status.idle": "2023-12-01T10:38:57.483583Z",
- "shell.execute_reply": "2023-12-01T10:38:57.481378Z"
+ "iopub.execute_input": "2024-11-29T15:35:38.030290Z",
+ "iopub.status.busy": "2024-11-29T15:35:38.030058Z",
+ "iopub.status.idle": "2024-11-29T15:36:02.997566Z",
+ "shell.execute_reply": "2024-11-29T15:36:02.996899Z"
}
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@@ -511,28 +509,34 @@
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- "[ ] 1% | 6s\r"
+ "[ ] 1% | 7s\r"
]
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+ "[\\ ] 2% | 6s\r"
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+ "[\\ ] 3% | 6s\r"
+ ]
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@@ -756,7 +790,13 @@
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 42% | 3s\r"
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+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 48% | 3s\r"
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@@ -814,50 +860,56 @@
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+ ]
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@@ -1016,7 +1092,13 @@
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+ ]
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{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 73% | 3s\r"
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 73% | 4s\r"
]
},
{
@@ -2298,14 +2470,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 81% | 2s\r"
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 81% | 3s\r"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 82% | 2s\r"
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 82% | 3s\r"
]
},
{
@@ -2368,7 +2540,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 91% | 1s\r"
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 91% | 2s\r"
]
},
{
@@ -2439,7 +2611,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " - set\r\n",
+ " - set\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"\r\n",
"\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
@@ -2491,13 +2669,7 @@
"\r\n",
" +> Coordinates\r\n",
"\r\n",
- " - X offset, Y offset = 0, 0\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " - X offset, Y offset = 0, 0\r\n",
" - X range [-0.004166666883975267, 9.987500190734863]\r\n",
" - Y range [0.004166666883975267, 9.995833396911621]\r\n",
"\r\n",
@@ -2548,10 +2720,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:57.491987Z",
- "iopub.status.busy": "2023-12-01T10:38:57.491341Z",
- "iopub.status.idle": "2023-12-01T10:38:57.955000Z",
- "shell.execute_reply": "2023-12-01T10:38:57.952112Z"
+ "iopub.execute_input": "2024-11-29T15:36:03.000626Z",
+ "iopub.status.busy": "2024-11-29T15:36:03.000417Z",
+ "iopub.status.idle": "2024-11-29T15:36:03.487603Z",
+ "shell.execute_reply": "2024-11-29T15:36:03.486935Z"
}
},
"outputs": [
@@ -2585,10 +2757,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:57.961796Z",
- "iopub.status.busy": "2023-12-01T10:38:57.961584Z",
- "iopub.status.idle": "2023-12-01T10:38:58.876174Z",
- "shell.execute_reply": "2023-12-01T10:38:58.873393Z"
+ "iopub.execute_input": "2024-11-29T15:36:03.490638Z",
+ "iopub.status.busy": "2024-11-29T15:36:03.490437Z",
+ "iopub.status.idle": "2024-11-29T15:36:04.421173Z",
+ "shell.execute_reply": "2024-11-29T15:36:04.420450Z"
}
},
"outputs": [
@@ -2596,16 +2768,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\r\n",
- "\r\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
- "\r\n",
- "\r\n",
- "Processing header (mesh, connectivity, etc.)\r\n",
- "\r\n",
- "... you are in bad luck !\r\n",
- " ~> you need to have the pydap library for python 3 installed,\r\n",
- " ~> along with its dependencies\r\n"
+ ".. you are in bad luck !\r\n",
+ " ~> you need to have the pydap library installed\r\n",
+ "\r\n"
]
},
{
@@ -2618,15 +2783,15 @@
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
"\r\n",
"Traceback (most recent call last):\r\n",
- " File \"/home/d60881/telemac/scripts/python3/run_telfile.py\", line 479, in <module>\r\n",
- " main()\r\n",
- " File \"/home/d60881/telemac/scripts/python3/run_telfile.py\", line 386, in main\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/run_telfile.py\", line 462, in <module>\r\n",
+ " sys.exit(main())\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/run_telfile.py\", line 372, in main\r\n",
" scan(options.tel_file, options.bnd_file, options.data)\r\n",
- " File \"/home/d60881/telemac/scripts/python3/pretel/manip_telfile.py\", line 27, in scan\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/pretel/manip_telfile.py\", line 28, in scan\r\n",
" res = TelemacFile(tel_file, bnd_file=bnd_file)\r\n",
- " File \"/home/d60881/telemac/scripts/python3/data_manip/extraction/telemac_file.py\", line 56, in __init__\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/data_manip/extraction/telemac_file.py\", line 65, in __init__\r\n",
" HermesFile.__init__(self, file_name,\r\n",
- " File \"/home/d60881/telemac/scripts/python3/telapy/api/hermes.py\", line 128, in __init__\r\n",
+ " File \"/home/d60881/telemac/scripts/python3/telapy/api/hermes.py\", line 132, in __init__\r\n",
" raise TelemacException(\r\n",
"utils.exceptions.TelemacException: Could not find t3d_hycom-2m_2017-08-01_2017-08-02_20_21_-119-118.slf\r\n"
]
diff --git a/notebooks/pretel/diff.ipynb b/notebooks/pretel/diff.ipynb
index 11824fddf8..9995975eab 100644
--- a/notebooks/pretel/diff.ipynb
+++ b/notebooks/pretel/diff.ipynb
@@ -21,10 +21,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:38:59.751388Z",
- "iopub.status.busy": "2023-12-01T10:38:59.750299Z",
- "iopub.status.idle": "2023-12-01T10:39:00.226567Z",
- "shell.execute_reply": "2023-12-01T10:39:00.225872Z"
+ "iopub.execute_input": "2024-11-29T15:36:05.290490Z",
+ "iopub.status.busy": "2024-11-29T15:36:05.290247Z",
+ "iopub.status.idle": "2024-11-29T15:36:05.735546Z",
+ "shell.execute_reply": "2024-11-29T15:36:05.734833Z"
},
"scrolled": true
},
@@ -60,10 +60,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:39:00.228899Z",
- "iopub.status.busy": "2023-12-01T10:39:00.228728Z",
- "iopub.status.idle": "2023-12-01T10:39:00.693028Z",
- "shell.execute_reply": "2023-12-01T10:39:00.691523Z"
+ "iopub.execute_input": "2024-11-29T15:36:05.738297Z",
+ "iopub.status.busy": "2024-11-29T15:36:05.738033Z",
+ "iopub.status.idle": "2024-11-29T15:36:06.187572Z",
+ "shell.execute_reply": "2024-11-29T15:36:06.186824Z"
},
"scrolled": true
},
@@ -76,13 +76,7 @@
"\r\n",
"Interpreting command line options\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
- "\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "\r\n",
"\r\n",
"\r\n",
"Header differences: \r\n",
@@ -178,10 +172,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:39:00.699181Z",
- "iopub.status.busy": "2023-12-01T10:39:00.698596Z",
- "iopub.status.idle": "2023-12-01T10:39:01.158697Z",
- "shell.execute_reply": "2023-12-01T10:39:01.156243Z"
+ "iopub.execute_input": "2024-11-29T15:36:06.190272Z",
+ "iopub.status.busy": "2024-11-29T15:36:06.190019Z",
+ "iopub.status.idle": "2024-11-29T15:36:06.631707Z",
+ "shell.execute_reply": "2024-11-29T15:36:06.630975Z"
},
"scrolled": true
},
@@ -216,10 +210,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:39:01.165541Z",
- "iopub.status.busy": "2023-12-01T10:39:01.165331Z",
- "iopub.status.idle": "2023-12-01T10:39:03.017797Z",
- "shell.execute_reply": "2023-12-01T10:39:03.017037Z"
+ "iopub.execute_input": "2024-11-29T15:36:06.634382Z",
+ "iopub.status.busy": "2024-11-29T15:36:06.634130Z",
+ "iopub.status.idle": "2024-11-29T15:36:08.418065Z",
+ "shell.execute_reply": "2024-11-29T15:36:08.417303Z"
},
"scrolled": true
},
@@ -232,13 +226,7 @@
"\r\n",
"Interpreting command line options\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
- "\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "\r\n",
"\r\n",
"\r\n",
"My work is done\r\n",
@@ -270,7 +258,7 @@
" - Number of points: 13541\r\n",
" - Number of elements: 26000\r\n",
" - Number of points per element: 3\r\n",
- " - Number of planes: 1\r\n",
+ " - Number of planes: 0\r\n",
"\r\n",
" +> Coordinates\r\n",
"\r\n",
diff --git a/notebooks/pretel/extract_contour.ipynb b/notebooks/pretel/extract_contour.ipynb
index 255f59071a..8192847207 100644
--- a/notebooks/pretel/extract_contour.ipynb
+++ b/notebooks/pretel/extract_contour.ipynb
@@ -21,25 +21,32 @@
{
"cell_type": "code",
"execution_count": 1,
- "metadata": {},
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2024-11-29T15:36:09.247475Z",
+ "iopub.status.busy": "2024-11-29T15:36:09.247284Z",
+ "iopub.status.idle": "2024-11-29T15:36:09.690725Z",
+ "shell.execute_reply": "2024-11-29T15:36:09.690071Z"
+ }
+ },
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "\n",
- "\n",
- "Interpreting command line options\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- "usage: run_telfile.py contour [-h] Telemac File shp_file\n",
- "\n",
- "positional arguments:\n",
- " Telemac File Mesh file\n",
- " shp_file Shapefile\n",
- "\n",
- "options:\n",
- " -h, --help show this help message and exit\n"
+ "\r\n",
+ "\r\n",
+ "Interpreting command line options\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n",
+ "usage: run_telfile.py contour [-h] Telemac File shp_file\r\n",
+ "\r\n",
+ "positional arguments:\r\n",
+ " Telemac File Mesh file\r\n",
+ " shp_file Shapefile\r\n",
+ "\r\n",
+ "optional arguments:\r\n",
+ " -h, --help show this help message and exit\r\n"
]
}
],
@@ -57,19 +64,15 @@
{
"cell_type": "code",
"execution_count": 2,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Number of nodes: 2280\n",
- "Number of boundary nodes: 258\n",
- "Domain 1\n",
- "Islands\n"
- ]
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2024-11-29T15:36:09.693264Z",
+ "iopub.status.busy": "2024-11-29T15:36:09.693025Z",
+ "iopub.status.idle": "2024-11-29T15:36:09.972442Z",
+ "shell.execute_reply": "2024-11-29T15:36:09.971875Z"
}
- ],
+ },
+ "outputs": [],
"source": [
"import os\n",
"from pretel.extract_contour import extract_contour, write_gis_file\n",
@@ -90,7 +93,14 @@
{
"cell_type": "code",
"execution_count": 3,
- "metadata": {},
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2024-11-29T15:36:09.975255Z",
+ "iopub.status.busy": "2024-11-29T15:36:09.975012Z",
+ "iopub.status.idle": "2024-11-29T15:36:09.978405Z",
+ "shell.execute_reply": "2024-11-29T15:36:09.977864Z"
+ }
+ },
"outputs": [
{
"name": "stdout",
@@ -115,12 +125,19 @@
{
"cell_type": "code",
"execution_count": 4,
- "metadata": {},
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2024-11-29T15:36:09.981070Z",
+ "iopub.status.busy": "2024-11-29T15:36:09.980834Z",
+ "iopub.status.idle": "2024-11-29T15:36:10.395969Z",
+ "shell.execute_reply": "2024-11-29T15:36:10.395558Z"
+ }
+ },
"outputs": [
{
"data": {
"text/plain": [
- "<Axes: >"
+ "<AxesSubplot: >"
]
},
"execution_count": 4,
@@ -129,7 +146,7 @@
},
{
"data": {
- "image/png": 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",
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
@@ -155,28 +172,19 @@
{
"cell_type": "code",
"execution_count": 5,
- "metadata": {},
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2024-11-29T15:36:10.398673Z",
+ "iopub.status.busy": "2024-11-29T15:36:10.398466Z",
+ "iopub.status.idle": "2024-11-29T15:36:10.503206Z",
+ "shell.execute_reply": "2024-11-29T15:36:10.502783Z"
+ }
+ },
"outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Number of nodes: 519\n",
- "Number of boundary nodes: 160\n",
- "Domain 1\n",
- "No islands\n",
- "Domain 2\n",
- "No islands\n",
- "Domain 3\n",
- "No islands\n",
- "Domain 4\n",
- "No islands\n"
- ]
- },
{
"data": {
"text/plain": [
- "<Axes: >"
+ "<AxesSubplot: >"
]
},
"execution_count": 5,
@@ -185,7 +193,7 @@
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
diff --git a/notebooks/pretel/interpolation.ipynb b/notebooks/pretel/interpolation.ipynb
index 379dd25440..d872e441fc 100644
--- a/notebooks/pretel/interpolation.ipynb
+++ b/notebooks/pretel/interpolation.ipynb
@@ -14,10 +14,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:39:19.020104Z",
- "iopub.status.busy": "2023-12-01T10:39:19.017702Z",
- "iopub.status.idle": "2023-12-01T10:39:19.405349Z",
- "shell.execute_reply": "2023-12-01T10:39:19.404768Z"
+ "iopub.execute_input": "2024-11-29T15:36:11.428072Z",
+ "iopub.status.busy": "2024-11-29T15:36:11.427786Z",
+ "iopub.status.idle": "2024-11-29T15:36:11.785670Z",
+ "shell.execute_reply": "2024-11-29T15:36:11.785102Z"
}
},
"outputs": [],
@@ -45,10 +45,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:39:19.407681Z",
- "iopub.status.busy": "2023-12-01T10:39:19.407448Z",
- "iopub.status.idle": "2023-12-01T10:39:19.412071Z",
- "shell.execute_reply": "2023-12-01T10:39:19.411561Z"
+ "iopub.execute_input": "2024-11-29T15:36:11.788700Z",
+ "iopub.status.busy": "2024-11-29T15:36:11.788455Z",
+ "iopub.status.idle": "2024-11-29T15:36:11.795679Z",
+ "shell.execute_reply": "2024-11-29T15:36:11.795142Z"
}
},
"outputs": [],
@@ -69,10 +69,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:39:19.414517Z",
- "iopub.status.busy": "2023-12-01T10:39:19.414327Z",
- "iopub.status.idle": "2023-12-01T10:39:19.687616Z",
- "shell.execute_reply": "2023-12-01T10:39:19.687098Z"
+ "iopub.execute_input": "2024-11-29T15:36:11.798329Z",
+ "iopub.status.busy": "2024-11-29T15:36:11.798132Z",
+ "iopub.status.idle": "2024-11-29T15:36:12.267842Z",
+ "shell.execute_reply": "2024-11-29T15:36:12.267149Z"
}
},
"outputs": [
@@ -115,10 +115,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:39:19.693521Z",
- "iopub.status.busy": "2023-12-01T10:39:19.693295Z",
- "iopub.status.idle": "2023-12-01T10:39:19.696740Z",
- "shell.execute_reply": "2023-12-01T10:39:19.695943Z"
+ "iopub.execute_input": "2024-11-29T15:36:12.272674Z",
+ "iopub.status.busy": "2024-11-29T15:36:12.272461Z",
+ "iopub.status.idle": "2024-11-29T15:36:12.275377Z",
+ "shell.execute_reply": "2024-11-29T15:36:12.274880Z"
}
},
"outputs": [],
@@ -139,10 +139,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:39:19.700057Z",
- "iopub.status.busy": "2023-12-01T10:39:19.699762Z",
- "iopub.status.idle": "2023-12-01T10:39:19.991278Z",
- "shell.execute_reply": "2023-12-01T10:39:19.990666Z"
+ "iopub.execute_input": "2024-11-29T15:36:12.277752Z",
+ "iopub.status.busy": "2024-11-29T15:36:12.277546Z",
+ "iopub.status.idle": "2024-11-29T15:36:12.581735Z",
+ "shell.execute_reply": "2024-11-29T15:36:12.581202Z"
}
},
"outputs": [],
@@ -165,10 +165,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:39:19.993729Z",
- "iopub.status.busy": "2023-12-01T10:39:19.993490Z",
- "iopub.status.idle": "2023-12-01T10:39:19.996795Z",
- "shell.execute_reply": "2023-12-01T10:39:19.996182Z"
+ "iopub.execute_input": "2024-11-29T15:36:12.584418Z",
+ "iopub.status.busy": "2024-11-29T15:36:12.584203Z",
+ "iopub.status.idle": "2024-11-29T15:36:12.586685Z",
+ "shell.execute_reply": "2024-11-29T15:36:12.586319Z"
}
},
"outputs": [],
@@ -188,10 +188,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:39:19.998955Z",
- "iopub.status.busy": "2023-12-01T10:39:19.998723Z",
- "iopub.status.idle": "2023-12-01T10:39:20.348847Z",
- "shell.execute_reply": "2023-12-01T10:39:20.348201Z"
+ "iopub.execute_input": "2024-11-29T15:36:12.589029Z",
+ "iopub.status.busy": "2024-11-29T15:36:12.588825Z",
+ "iopub.status.idle": "2024-11-29T15:36:12.945984Z",
+ "shell.execute_reply": "2024-11-29T15:36:12.945436Z"
}
},
"outputs": [
@@ -231,10 +231,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:39:20.351841Z",
- "iopub.status.busy": "2023-12-01T10:39:20.351566Z",
- "iopub.status.idle": "2023-12-01T10:39:20.355496Z",
- "shell.execute_reply": "2023-12-01T10:39:20.354886Z"
+ "iopub.execute_input": "2024-11-29T15:36:12.950915Z",
+ "iopub.status.busy": "2024-11-29T15:36:12.950706Z",
+ "iopub.status.idle": "2024-11-29T15:36:12.954002Z",
+ "shell.execute_reply": "2024-11-29T15:36:12.953479Z"
}
},
"outputs": [],
@@ -247,10 +247,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:39:20.357719Z",
- "iopub.status.busy": "2023-12-01T10:39:20.357473Z",
- "iopub.status.idle": "2023-12-01T10:39:20.930588Z",
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@@ -290,10 +290,10 @@
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@@ -341,10 +341,10 @@
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@@ -364,10 +364,10 @@
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@@ -387,10 +387,10 @@
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@@ -410,10 +410,10 @@
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"outputs": [
@@ -452,10 +452,10 @@
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"metadata": {
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"outputs": [],
@@ -486,10 +486,10 @@
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"metadata": {
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"outputs": [],
@@ -505,10 +505,10 @@
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+ "shell.execute_reply": "2024-11-29T15:36:14.781102Z"
}
},
"outputs": [
diff --git a/notebooks/pretel/interpolation_by_region.ipynb b/notebooks/pretel/interpolation_by_region.ipynb
index 0438838e51..3488cf35e0 100644
--- a/notebooks/pretel/interpolation_by_region.ipynb
+++ b/notebooks/pretel/interpolation_by_region.ipynb
@@ -14,10 +14,10 @@
"execution_count": 1,
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- "shell.execute_reply": "2023-12-01T10:39:23.272479Z"
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+ "shell.execute_reply": "2024-11-29T15:36:16.209231Z"
}
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"outputs": [],
@@ -51,10 +51,10 @@
"execution_count": 2,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:39:23.275577Z",
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- "iopub.status.idle": "2023-12-01T10:39:23.278203Z",
- "shell.execute_reply": "2023-12-01T10:39:23.277834Z"
+ "iopub.execute_input": "2024-11-29T15:36:16.212449Z",
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}
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"outputs": [],
@@ -74,10 +74,10 @@
"execution_count": 3,
"metadata": {
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- "shell.execute_reply": "2023-12-01T10:39:23.285416Z"
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+ "shell.execute_reply": "2024-11-29T15:36:16.225596Z"
}
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"outputs": [
@@ -111,10 +111,10 @@
"execution_count": 4,
"metadata": {
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- "iopub.status.idle": "2023-12-01T10:39:23.310894Z",
- "shell.execute_reply": "2023-12-01T10:39:23.310380Z"
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+ "shell.execute_reply": "2024-11-29T15:36:16.437049Z"
}
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"outputs": [],
@@ -135,10 +135,10 @@
"execution_count": 5,
"metadata": {
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"outputs": [],
@@ -172,10 +172,10 @@
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"metadata": {
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- "shell.execute_reply": "2023-12-01T10:39:23.491072Z"
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"outputs": [
@@ -212,10 +212,10 @@
"execution_count": 7,
"metadata": {
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- "shell.execute_reply": "2023-12-01T10:39:23.497189Z"
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}
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"outputs": [],
@@ -239,10 +239,10 @@
"execution_count": 8,
"metadata": {
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- "shell.execute_reply": "2023-12-01T10:39:23.761753Z"
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+ "shell.execute_reply": "2024-11-29T15:36:16.946114Z"
}
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"outputs": [],
@@ -266,10 +266,10 @@
"execution_count": 9,
"metadata": {
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- "shell.execute_reply": "2023-12-01T10:39:24.082178Z"
+ "iopub.execute_input": "2024-11-29T15:36:16.949213Z",
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+ "shell.execute_reply": "2024-11-29T15:36:17.275514Z"
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"outputs": [
@@ -309,10 +309,10 @@
"execution_count": 10,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:39:24.084884Z",
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- "iopub.status.idle": "2023-12-01T10:39:24.090324Z",
- "shell.execute_reply": "2023-12-01T10:39:24.089825Z"
+ "iopub.execute_input": "2024-11-29T15:36:17.278551Z",
+ "iopub.status.busy": "2024-11-29T15:36:17.278291Z",
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+ "shell.execute_reply": "2024-11-29T15:36:17.284235Z"
}
},
"outputs": [],
@@ -334,10 +334,10 @@
"execution_count": 11,
"metadata": {
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- "shell.execute_reply": "2023-12-01T10:39:24.413621Z"
+ "iopub.execute_input": "2024-11-29T15:36:17.287151Z",
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+ "shell.execute_reply": "2024-11-29T15:36:17.586753Z"
}
},
"outputs": [
@@ -377,10 +377,10 @@
"execution_count": 12,
"metadata": {
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- "shell.execute_reply": "2023-12-01T10:39:24.421576Z"
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+ "shell.execute_reply": "2024-11-29T15:36:17.596027Z"
}
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"outputs": [],
@@ -406,10 +406,10 @@
"execution_count": 13,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:39:24.424109Z",
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- "shell.execute_reply": "2023-12-01T10:39:24.747626Z"
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+ "shell.execute_reply": "2024-11-29T15:36:17.968376Z"
}
},
"outputs": [
diff --git a/notebooks/pretel/makespectrum.ipynb b/notebooks/pretel/makespectrum.ipynb
index 2855e58662..4dcf018b23 100644
--- a/notebooks/pretel/makespectrum.ipynb
+++ b/notebooks/pretel/makespectrum.ipynb
@@ -14,10 +14,10 @@
"id": "22d30967",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:39:25.823549Z",
- "iopub.status.busy": "2023-12-01T10:39:25.822844Z",
- "iopub.status.idle": "2023-12-01T10:39:26.647502Z",
- "shell.execute_reply": "2023-12-01T10:39:26.647037Z"
+ "iopub.execute_input": "2024-11-29T15:36:18.932426Z",
+ "iopub.status.busy": "2024-11-29T15:36:18.932157Z",
+ "iopub.status.idle": "2024-11-29T15:36:19.739205Z",
+ "shell.execute_reply": "2024-11-29T15:36:19.738508Z"
}
},
"outputs": [
@@ -84,10 +84,10 @@
"id": "e58f4a9b",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:39:26.651895Z",
- "iopub.status.busy": "2023-12-01T10:39:26.651642Z",
- "iopub.status.idle": "2023-12-01T10:45:17.367890Z",
- "shell.execute_reply": "2023-12-01T10:45:17.365281Z"
+ "iopub.execute_input": "2024-11-29T15:36:19.743136Z",
+ "iopub.status.busy": "2024-11-29T15:36:19.742816Z",
+ "iopub.status.idle": "2024-11-29T15:42:20.319562Z",
+ "shell.execute_reply": "2024-11-29T15:42:20.318938Z"
}
},
"outputs": [
@@ -126,10 +126,10 @@
"id": "7705a1bc",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:45:17.377348Z",
- "iopub.status.busy": "2023-12-01T10:45:17.376700Z",
- "iopub.status.idle": "2023-12-01T10:45:19.914718Z",
- "shell.execute_reply": "2023-12-01T10:45:19.912781Z"
+ "iopub.execute_input": "2024-11-29T15:42:20.321814Z",
+ "iopub.status.busy": "2024-11-29T15:42:20.321622Z",
+ "iopub.status.idle": "2024-11-29T15:42:22.904613Z",
+ "shell.execute_reply": "2024-11-29T15:42:22.903797Z"
},
"scrolled": true
},
@@ -138,7 +138,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " ~> Checking keyword/rubrique coherence\r\n",
+ " ~> Checking keyword/rubrique coherence\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"bnd_file bc_small.bnd\r\n"
]
},
@@ -168,10 +174,10 @@
"id": "8418c954",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:45:19.923223Z",
- "iopub.status.busy": "2023-12-01T10:45:19.922566Z",
- "iopub.status.idle": "2023-12-01T10:45:55.956833Z",
- "shell.execute_reply": "2023-12-01T10:45:55.954155Z"
+ "iopub.execute_input": "2024-11-29T15:42:22.907315Z",
+ "iopub.status.busy": "2024-11-29T15:42:22.907048Z",
+ "iopub.status.idle": "2024-11-29T15:43:00.314153Z",
+ "shell.execute_reply": "2024-11-29T15:43:00.313486Z"
}
},
"outputs": [
@@ -209,10 +215,10 @@
"id": "41b624d6",
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:45:55.965361Z",
- "iopub.status.busy": "2023-12-01T10:45:55.964699Z",
- "iopub.status.idle": "2023-12-01T10:45:56.684713Z",
- "shell.execute_reply": "2023-12-01T10:45:56.684299Z"
+ "iopub.execute_input": "2024-11-29T15:43:00.317141Z",
+ "iopub.status.busy": "2024-11-29T15:43:00.316942Z",
+ "iopub.status.idle": "2024-11-29T15:43:01.052726Z",
+ "shell.execute_reply": "2024-11-29T15:43:01.052233Z"
}
},
"outputs": [
diff --git a/notebooks/pretel/merge.ipynb b/notebooks/pretel/merge.ipynb
index c908043cb8..cdfb598963 100644
--- a/notebooks/pretel/merge.ipynb
+++ b/notebooks/pretel/merge.ipynb
@@ -16,10 +16,10 @@
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- "iopub.status.busy": "2023-12-01T10:45:57.672889Z",
- "iopub.status.idle": "2023-12-01T10:45:58.150322Z",
- "shell.execute_reply": "2023-12-01T10:45:58.147516Z"
+ "iopub.execute_input": "2024-11-29T15:43:02.043399Z",
+ "iopub.status.busy": "2024-11-29T15:43:02.043223Z",
+ "iopub.status.idle": "2024-11-29T15:43:02.489899Z",
+ "shell.execute_reply": "2024-11-29T15:43:02.489243Z"
}
},
"outputs": [
@@ -68,10 +68,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:45:58.158077Z",
- "iopub.status.busy": "2023-12-01T10:45:58.157867Z",
- "iopub.status.idle": "2023-12-01T10:46:00.039426Z",
- "shell.execute_reply": "2023-12-01T10:46:00.038806Z"
+ "iopub.execute_input": "2024-11-29T15:43:02.492305Z",
+ "iopub.status.busy": "2024-11-29T15:43:02.492089Z",
+ "iopub.status.idle": "2024-11-29T15:43:04.269287Z",
+ "shell.execute_reply": "2024-11-29T15:43:04.268654Z"
}
},
"outputs": [
@@ -85,6 +85,28 @@
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
"\r\n",
" ~> Merging r2d_gouttedo_part1.slf, r2d_gouttedo_part2.slf into r2d_gouttedo_full.slf kind=time\r\n",
+ "[ ] 0% | ---s\r",
+ "[\\\\\\ ] 4% | 1s\r",
+ "[\\\\\\\\\\\\ ] 9% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\ ] 14% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\ ] 19% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 23% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 28% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 33% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 38% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 42% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 47% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 52% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 57% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 61% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 66% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 71% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 76% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 80% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 85% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 90% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 95% | 1s\r",
+ " \r",
"\r\n",
"\r\n",
"My work is done\r\n",
diff --git a/notebooks/pretel/refine.ipynb b/notebooks/pretel/refine.ipynb
index 99849bdb6b..7616bda311 100644
--- a/notebooks/pretel/refine.ipynb
+++ b/notebooks/pretel/refine.ipynb
@@ -15,10 +15,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:00.903075Z",
- "iopub.status.busy": "2023-12-01T10:46:00.902361Z",
- "iopub.status.idle": "2023-12-01T10:46:01.385865Z",
- "shell.execute_reply": "2023-12-01T10:46:01.384562Z"
+ "iopub.execute_input": "2024-11-29T15:43:05.266559Z",
+ "iopub.status.busy": "2024-11-29T15:43:05.266381Z",
+ "iopub.status.idle": "2024-11-29T15:43:05.756044Z",
+ "shell.execute_reply": "2024-11-29T15:43:05.755382Z"
}
},
"outputs": [
@@ -55,10 +55,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:01.390479Z",
- "iopub.status.busy": "2023-12-01T10:46:01.390097Z",
- "iopub.status.idle": "2023-12-01T10:46:02.913823Z",
- "shell.execute_reply": "2023-12-01T10:46:02.911013Z"
+ "iopub.execute_input": "2024-11-29T15:43:05.758803Z",
+ "iopub.status.busy": "2024-11-29T15:43:05.758584Z",
+ "iopub.status.idle": "2024-11-29T15:43:07.319838Z",
+ "shell.execute_reply": "2024-11-29T15:43:07.319134Z"
}
},
"outputs": [
@@ -67,7 +67,7 @@
"output_type": "stream",
"text": [
" ~> Checking keyword/rubrique coherence\r\n",
- "Calling: /home/d60881/telemac/scripts/python3/stbtel.py stb.cas --mpi -r /home/d60881/telemac\r\n"
+ "Calling: stbtel.py stb.cas --mpi\r\n"
]
},
{
@@ -86,7 +86,13 @@
" | | | | | || (_| || || | | |\r\n",
" |_| |_| |_| \\__,_||_||_| |_|\r\n",
" \r\n",
- " \r\n",
+ " \r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"\r\n",
"\r\n",
"Running your CAS file(s) for:\r\n",
@@ -125,19 +131,13 @@
"... checking parallelisation\r\n",
"\r\n",
"... handling temporary directories\r\n",
- " copying: stb.cas -> <root>/examples/python3/converter/stb.cas_2023-12-01-11h46min02s/STBCAS\r\n",
- " copying: stbtel.dico -> <root>/examples/python3/converter/stb.cas_2023-12-01-11h46min02s/STBDICO\r\n",
- " copying: mesh.slf -> <root>/examples/python3/converter/stb.cas_2023-12-01-11h46min02s/STBGEO\r\n",
- " copying: mesh.cli -> <root>/examples/python3/converter/stb.cas_2023-12-01-11h46min02s/STBND2\r\n",
+ " copying: stb.cas -> <root>/examples/python3/converter/stb.cas_2024-11-29-16h43min06s/STBCAS\r\n",
+ " copying: stbtel.dico -> <root>/examples/python3/converter/stb.cas_2024-11-29-16h43min06s/STBDICO\r\n",
+ " copying: mesh.slf -> <root>/examples/python3/converter/stb.cas_2024-11-29-16h43min06s/STBGEO\r\n",
+ " copying: mesh.cli -> <root>/examples/python3/converter/stb.cas_2024-11-29-16h43min06s/STBND2\r\n",
"[ ] 0% | ---s\r",
"[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 33% | 1s\r",
- " \r"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " \r",
"[ ] 0% | ---s\r",
" \r",
"[ ] 0% | ---s\r",
@@ -153,18 +153,33 @@
"\r\n",
"\r\n",
"\r\n",
- "In /home/d60881/telemac/examples/python3/converter/stb.cas_2023-12-01-11h46min02s:\r\n",
- "mpirun --use-hwthread-cpus -np 1 /home/d60881/telemac/examples/python3/converter/stb.cas_2023-12-01-11h46min02s/out_stbtel\r\n",
+ "In /home/d60881/telemac/examples/python3/converter/stb.cas_2024-11-29-16h43min06s:\r\n",
+ "mpirun --use-hwthread-cpus -np 1 /home/d60881/telemac/examples/python3/converter/stb.cas_2024-11-29-16h43min06s/out_stbtel\r\n",
"\r\n",
"\r\n"
]
},
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\r\n",
+ "No protocol specified\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\r\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
"text": [
" MASTER PROCESSOR NUMBER 0 OF THE GROUP OF 1\r\n",
- " EXECUTABLE FILE: /home/d60881/telemac/examples/python3/converter/stb.cas_2023-12-01-11h46min02s/A.EXE\r\n",
+ " EXECUTABLE FILE: /home/d60881/telemac/examples/python3/converter/stb.cas_2024-11-29-16h43min06s/A.EXE\r\n",
" LISTING OF STBTEL------------------------------------------------------------------------------\r\n",
"\r\n",
" SSSSS TTTTT BBBB TTTTT EEEEE L\r\n",
@@ -173,7 +188,7 @@
" S T B B T E L\r\n",
" SSSSS T BBBB T EEEEE LLLLL\r\n",
"\r\n",
- " VERSION V8P5 FORTRAN 2003\r\n",
+ " VERSION MAIN FORTRAN 2003\r\n",
"\r\n",
" * * * /\\__/\\ * --- *\r\n",
" * / \\ / \\\r\n",
@@ -188,13 +203,7 @@
" | | \\ \\ | | \\ \\\r\n",
" | | \\ \\ | | \\ \\\r\n",
" ''' ''' ''' '''\r\n",
- "\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "\r\n",
" NPTFR FROM LECSEL 1080\r\n",
" NPTFR FROM LECSELLIM 1080\r\n",
"\r\n",
@@ -214,7 +223,13 @@
" ---------------------\r\n",
"\r\n",
" NEW NUMBER OF POINTS : 53081\r\n",
- " NEW NUMBER OF ELEMENTS : 104000\r\n",
+ " NEW NUMBER OF ELEMENTS : 104000\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" NUMBER OF BOUNDARY POINTS : 2160\r\n",
" NUMBER OF ISLANDS : 0\r\n",
"\r\n",
@@ -224,13 +239,7 @@
" BACKWARD DEPENDENCIES ARE CANCELLED AFTER 0 ATTEMPTS\r\n",
"\r\n",
" GENERATING GEOMETRY FILE\r\n",
- " ------------------------\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " ------------------------\r\n",
"\r\n",
" TREATMENT OF BOUNDARY CONDITIONS\r\n",
" --------------------------------\r\n",
@@ -284,10 +293,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:02.923988Z",
- "iopub.status.busy": "2023-12-01T10:46:02.923236Z",
- "iopub.status.idle": "2023-12-01T10:46:03.911578Z",
- "shell.execute_reply": "2023-12-01T10:46:03.908066Z"
+ "iopub.execute_input": "2024-11-29T15:43:07.322839Z",
+ "iopub.status.busy": "2024-11-29T15:43:07.322619Z",
+ "iopub.status.idle": "2024-11-29T15:43:08.208299Z",
+ "shell.execute_reply": "2024-11-29T15:43:08.207614Z"
}
},
"outputs": [
diff --git a/notebooks/pretel/scan.ipynb b/notebooks/pretel/scan.ipynb
index 0df598f221..2ed5d7834f 100644
--- a/notebooks/pretel/scan.ipynb
+++ b/notebooks/pretel/scan.ipynb
@@ -21,10 +21,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:05.034979Z",
- "iopub.status.busy": "2023-12-01T10:46:05.034007Z",
- "iopub.status.idle": "2023-12-01T10:46:05.493091Z",
- "shell.execute_reply": "2023-12-01T10:46:05.489946Z"
+ "iopub.execute_input": "2024-11-29T15:43:09.002107Z",
+ "iopub.status.busy": "2024-11-29T15:43:09.001842Z",
+ "iopub.status.idle": "2024-11-29T15:43:09.449678Z",
+ "shell.execute_reply": "2024-11-29T15:43:09.449018Z"
}
},
"outputs": [
@@ -69,10 +69,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:05.501266Z",
- "iopub.status.busy": "2023-12-01T10:46:05.501059Z",
- "iopub.status.idle": "2023-12-01T10:46:05.960404Z",
- "shell.execute_reply": "2023-12-01T10:46:05.957856Z"
+ "iopub.execute_input": "2024-11-29T15:43:09.452793Z",
+ "iopub.status.busy": "2024-11-29T15:43:09.452602Z",
+ "iopub.status.idle": "2024-11-29T15:43:09.895826Z",
+ "shell.execute_reply": "2024-11-29T15:43:09.895068Z"
}
},
"outputs": [
@@ -100,7 +100,7 @@
" - Number of points: 4624\r\n",
" - Number of elements: 8978\r\n",
" - Number of points per element: 3\r\n",
- " - Number of planes: 1\r\n",
+ " - Number of planes: 0\r\n",
"\r\n",
" +> Coordinates\r\n",
"\r\n",
@@ -152,10 +152,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:05.969804Z",
- "iopub.status.busy": "2023-12-01T10:46:05.969062Z",
- "iopub.status.idle": "2023-12-01T10:46:06.431004Z",
- "shell.execute_reply": "2023-12-01T10:46:06.428881Z"
+ "iopub.execute_input": "2024-11-29T15:43:09.898515Z",
+ "iopub.status.busy": "2024-11-29T15:43:09.898247Z",
+ "iopub.status.idle": "2024-11-29T15:43:10.343114Z",
+ "shell.execute_reply": "2024-11-29T15:43:10.342399Z"
}
},
"outputs": [
@@ -183,7 +183,7 @@
" - Number of points: 4624\r\n",
" - Number of elements: 8978\r\n",
" - Number of points per element: 3\r\n",
- " - Number of planes: 1\r\n",
+ " - Number of planes: 0\r\n",
"\r\n",
" +> Coordinates\r\n",
"\r\n",
@@ -261,13 +261,7 @@
" +> Time: 1.0s min, max: [2.053157091140747, 2.8222053050994873]\r\n",
" +> Time: 1.2000000476837158s min, max: [2.144162178039551, 2.7929866313934326]\r\n",
" +> Time: 1.399999976158142s min, max: [2.187784433364868, 2.7817435264587402]\r\n",
- " +> Time: 1.600000023841858s min, max: [2.2149596214294434, 3.084775447845459]\r\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " +> Time: 1.600000023841858s min, max: [2.2149596214294434, 3.084775447845459]\r\n",
" +> Time: 1.7999999523162842s min, max: [2.231989622116089, 3.0441198348999023]\r\n",
" +> Time: 2.0s min, max: [2.2369260787963867, 3.004875898361206]\r\n",
" +> Time: 2.200000047683716s min, max: [2.2635385990142822, 3.0536575317382812]\r\n",
@@ -305,10 +299,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:06.437952Z",
- "iopub.status.busy": "2023-12-01T10:46:06.437742Z",
- "iopub.status.idle": "2023-12-01T10:46:06.895027Z",
- "shell.execute_reply": "2023-12-01T10:46:06.892598Z"
+ "iopub.execute_input": "2024-11-29T15:43:10.345777Z",
+ "iopub.status.busy": "2024-11-29T15:43:10.345527Z",
+ "iopub.status.idle": "2024-11-29T15:43:10.794736Z",
+ "shell.execute_reply": "2024-11-29T15:43:10.794002Z"
}
},
"outputs": [
@@ -336,7 +330,7 @@
" - Number of points: 4624\r\n",
" - Number of elements: 8978\r\n",
" - Number of points per element: 3\r\n",
- " - Number of planes: 1\r\n",
+ " - Number of planes: 0\r\n",
"\r\n",
" +> Coordinates\r\n",
"\r\n",
@@ -388,10 +382,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:06.902153Z",
- "iopub.status.busy": "2023-12-01T10:46:06.901941Z",
- "iopub.status.idle": "2023-12-01T10:46:07.359449Z",
- "shell.execute_reply": "2023-12-01T10:46:07.358003Z"
+ "iopub.execute_input": "2024-11-29T15:43:10.797386Z",
+ "iopub.status.busy": "2024-11-29T15:43:10.797124Z",
+ "iopub.status.idle": "2024-11-29T15:43:11.252873Z",
+ "shell.execute_reply": "2024-11-29T15:43:11.252149Z"
}
},
"outputs": [
@@ -419,7 +413,7 @@
" - Number of points: 312\r\n",
" - Number of elements: 300\r\n",
" - Number of points per element: 4\r\n",
- " - Number of planes: 1\r\n",
+ " - Number of planes: 0\r\n",
"\r\n",
" +> Coordinates\r\n",
"\r\n",
diff --git a/notebooks/pretel/tel2tom.ipynb b/notebooks/pretel/tel2tom.ipynb
index 6d1c5eb676..d27c56f4f5 100644
--- a/notebooks/pretel/tel2tom.ipynb
+++ b/notebooks/pretel/tel2tom.ipynb
@@ -14,10 +14,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:08.460339Z",
- "iopub.status.busy": "2023-12-01T10:46:08.459523Z",
- "iopub.status.idle": "2023-12-01T10:46:08.934120Z",
- "shell.execute_reply": "2023-12-01T10:46:08.933199Z"
+ "iopub.execute_input": "2024-11-29T15:43:12.096393Z",
+ "iopub.status.busy": "2024-11-29T15:43:12.096207Z",
+ "iopub.status.idle": "2024-11-29T15:43:12.540314Z",
+ "shell.execute_reply": "2024-11-29T15:43:12.539594Z"
}
},
"outputs": [
@@ -62,10 +62,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:08.937500Z",
- "iopub.status.busy": "2023-12-01T10:46:08.937250Z",
- "iopub.status.idle": "2023-12-01T10:46:09.457342Z",
- "shell.execute_reply": "2023-12-01T10:46:09.454566Z"
+ "iopub.execute_input": "2024-11-29T15:43:12.543045Z",
+ "iopub.status.busy": "2024-11-29T15:43:12.542786Z",
+ "iopub.status.idle": "2024-11-29T15:43:13.062836Z",
+ "shell.execute_reply": "2024-11-29T15:43:13.062125Z"
}
},
"outputs": [
@@ -78,17 +78,23 @@
"Interpreting command line options\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
"\r\n",
- "t2dmesh.bnd tommesh.bnd\r\n",
- " ~> Building tom2tel\r\n",
- "tommesh-tom2tel.med tommesh-tom2tel.bnd\r\n"
+ "t2dmesh.bnd tommesh.bnd\r\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
+ " ~> Building tom2tel\r\n",
+ "tommesh-tom2tel.med tommesh-tom2tel.bnd\r\n",
" - Created tommesh-tom2tel.med and tommesh-tom2tel.bnd\r\n",
- " ~> Building tel2tom\r\n",
+ " ~> Building tel2tom\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" - Created t2dmesh-tel2tom.med and t2dmesh-tel2tom.bnd\r\n",
"\r\n",
"\r\n",
@@ -125,10 +131,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:09.465297Z",
- "iopub.status.busy": "2023-12-01T10:46:09.465088Z",
- "iopub.status.idle": "2023-12-01T10:46:10.270520Z",
- "shell.execute_reply": "2023-12-01T10:46:10.269912Z"
+ "iopub.execute_input": "2024-11-29T15:43:13.065503Z",
+ "iopub.status.busy": "2024-11-29T15:43:13.065250Z",
+ "iopub.status.idle": "2024-11-29T15:43:13.910750Z",
+ "shell.execute_reply": "2024-11-29T15:43:13.910188Z"
}
},
"outputs": [
diff --git a/notebooks/pretel/tif_to_slf.ipynb b/notebooks/pretel/tif_to_slf.ipynb
index 760839c13b..75b441246b 100644
--- a/notebooks/pretel/tif_to_slf.ipynb
+++ b/notebooks/pretel/tif_to_slf.ipynb
@@ -15,10 +15,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:11.286212Z",
- "iopub.status.busy": "2023-12-01T10:46:11.285133Z",
- "iopub.status.idle": "2023-12-01T10:46:11.713432Z",
- "shell.execute_reply": "2023-12-01T10:46:11.712853Z"
+ "iopub.execute_input": "2024-11-29T15:43:15.014781Z",
+ "iopub.status.busy": "2024-11-29T15:43:15.014581Z",
+ "iopub.status.idle": "2024-11-29T15:43:15.413090Z",
+ "shell.execute_reply": "2024-11-29T15:43:15.412522Z"
}
},
"outputs": [],
@@ -44,10 +44,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:11.716366Z",
- "iopub.status.busy": "2023-12-01T10:46:11.716116Z",
- "iopub.status.idle": "2023-12-01T10:46:11.719159Z",
- "shell.execute_reply": "2023-12-01T10:46:11.718585Z"
+ "iopub.execute_input": "2024-11-29T15:43:15.415297Z",
+ "iopub.status.busy": "2024-11-29T15:43:15.415047Z",
+ "iopub.status.idle": "2024-11-29T15:43:15.417896Z",
+ "shell.execute_reply": "2024-11-29T15:43:15.417511Z"
}
},
"outputs": [],
@@ -61,10 +61,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:11.721688Z",
- "iopub.status.busy": "2023-12-01T10:46:11.721482Z",
- "iopub.status.idle": "2023-12-01T10:46:11.724408Z",
- "shell.execute_reply": "2023-12-01T10:46:11.723896Z"
+ "iopub.execute_input": "2024-11-29T15:43:15.419703Z",
+ "iopub.status.busy": "2024-11-29T15:43:15.419512Z",
+ "iopub.status.idle": "2024-11-29T15:43:15.422390Z",
+ "shell.execute_reply": "2024-11-29T15:43:15.422018Z"
}
},
"outputs": [],
@@ -86,10 +86,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:11.726865Z",
- "iopub.status.busy": "2023-12-01T10:46:11.726691Z",
- "iopub.status.idle": "2023-12-01T10:46:11.751054Z",
- "shell.execute_reply": "2023-12-01T10:46:11.749454Z"
+ "iopub.execute_input": "2024-11-29T15:43:15.424477Z",
+ "iopub.status.busy": "2024-11-29T15:43:15.424262Z",
+ "iopub.status.idle": "2024-11-29T15:43:15.448712Z",
+ "shell.execute_reply": "2024-11-29T15:43:15.448044Z"
}
},
"outputs": [],
@@ -106,10 +106,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:11.758378Z",
- "iopub.status.busy": "2023-12-01T10:46:11.757959Z",
- "iopub.status.idle": "2023-12-01T10:46:11.766675Z",
- "shell.execute_reply": "2023-12-01T10:46:11.765672Z"
+ "iopub.execute_input": "2024-11-29T15:43:15.450885Z",
+ "iopub.status.busy": "2024-11-29T15:43:15.450645Z",
+ "iopub.status.idle": "2024-11-29T15:43:15.455338Z",
+ "shell.execute_reply": "2024-11-29T15:43:15.454912Z"
}
},
"outputs": [
@@ -143,10 +143,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:11.771313Z",
- "iopub.status.busy": "2023-12-01T10:46:11.771082Z",
- "iopub.status.idle": "2023-12-01T10:46:11.935964Z",
- "shell.execute_reply": "2023-12-01T10:46:11.935370Z"
+ "iopub.execute_input": "2024-11-29T15:43:15.457449Z",
+ "iopub.status.busy": "2024-11-29T15:43:15.457191Z",
+ "iopub.status.idle": "2024-11-29T15:43:15.634245Z",
+ "shell.execute_reply": "2024-11-29T15:43:15.633756Z"
}
},
"outputs": [
@@ -180,10 +180,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:11.938684Z",
- "iopub.status.busy": "2023-12-01T10:46:11.938474Z",
- "iopub.status.idle": "2023-12-01T10:46:11.942022Z",
- "shell.execute_reply": "2023-12-01T10:46:11.941410Z"
+ "iopub.execute_input": "2024-11-29T15:43:15.636162Z",
+ "iopub.status.busy": "2024-11-29T15:43:15.635943Z",
+ "iopub.status.idle": "2024-11-29T15:43:15.639842Z",
+ "shell.execute_reply": "2024-11-29T15:43:15.639150Z"
}
},
"outputs": [],
@@ -196,10 +196,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:11.944616Z",
- "iopub.status.busy": "2023-12-01T10:46:11.944411Z",
- "iopub.status.idle": "2023-12-01T10:46:12.079007Z",
- "shell.execute_reply": "2023-12-01T10:46:12.078466Z"
+ "iopub.execute_input": "2024-11-29T15:43:15.642468Z",
+ "iopub.status.busy": "2024-11-29T15:43:15.642208Z",
+ "iopub.status.idle": "2024-11-29T15:43:15.792884Z",
+ "shell.execute_reply": "2024-11-29T15:43:15.792285Z"
}
},
"outputs": [],
@@ -212,10 +212,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:12.081774Z",
- "iopub.status.busy": "2023-12-01T10:46:12.081590Z",
- "iopub.status.idle": "2023-12-01T10:46:12.287598Z",
- "shell.execute_reply": "2023-12-01T10:46:12.286069Z"
+ "iopub.execute_input": "2024-11-29T15:43:15.795728Z",
+ "iopub.status.busy": "2024-11-29T15:43:15.795477Z",
+ "iopub.status.idle": "2024-11-29T15:43:16.034027Z",
+ "shell.execute_reply": "2024-11-29T15:43:16.033410Z"
},
"scrolled": false
},
@@ -252,10 +252,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:12.294506Z",
- "iopub.status.busy": "2023-12-01T10:46:12.294141Z",
- "iopub.status.idle": "2023-12-01T10:46:12.299320Z",
- "shell.execute_reply": "2023-12-01T10:46:12.298123Z"
+ "iopub.execute_input": "2024-11-29T15:43:16.037483Z",
+ "iopub.status.busy": "2024-11-29T15:43:16.037259Z",
+ "iopub.status.idle": "2024-11-29T15:43:16.040546Z",
+ "shell.execute_reply": "2024-11-29T15:43:16.039920Z"
}
},
"outputs": [],
@@ -268,10 +268,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:12.303655Z",
- "iopub.status.busy": "2023-12-01T10:46:12.303386Z",
- "iopub.status.idle": "2023-12-01T10:46:12.457133Z",
- "shell.execute_reply": "2023-12-01T10:46:12.456549Z"
+ "iopub.execute_input": "2024-11-29T15:43:16.043055Z",
+ "iopub.status.busy": "2024-11-29T15:43:16.042801Z",
+ "iopub.status.idle": "2024-11-29T15:43:16.195493Z",
+ "shell.execute_reply": "2024-11-29T15:43:16.194887Z"
}
},
"outputs": [],
@@ -289,10 +289,10 @@
"execution_count": 12,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:12.459946Z",
- "iopub.status.busy": "2023-12-01T10:46:12.459738Z",
- "iopub.status.idle": "2023-12-01T10:46:12.462615Z",
- "shell.execute_reply": "2023-12-01T10:46:12.462085Z"
+ "iopub.execute_input": "2024-11-29T15:43:16.198448Z",
+ "iopub.status.busy": "2024-11-29T15:43:16.198226Z",
+ "iopub.status.idle": "2024-11-29T15:43:16.201584Z",
+ "shell.execute_reply": "2024-11-29T15:43:16.200957Z"
}
},
"outputs": [],
@@ -305,10 +305,10 @@
"execution_count": 13,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:12.465091Z",
- "iopub.status.busy": "2023-12-01T10:46:12.464901Z",
- "iopub.status.idle": "2023-12-01T10:46:12.658745Z",
- "shell.execute_reply": "2023-12-01T10:46:12.658116Z"
+ "iopub.execute_input": "2024-11-29T15:43:16.204145Z",
+ "iopub.status.busy": "2024-11-29T15:43:16.203869Z",
+ "iopub.status.idle": "2024-11-29T15:43:16.397315Z",
+ "shell.execute_reply": "2024-11-29T15:43:16.396696Z"
}
},
"outputs": [
@@ -337,10 +337,10 @@
"execution_count": 14,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:12.661862Z",
- "iopub.status.busy": "2023-12-01T10:46:12.661653Z",
- "iopub.status.idle": "2023-12-01T10:46:12.664711Z",
- "shell.execute_reply": "2023-12-01T10:46:12.664192Z"
+ "iopub.execute_input": "2024-11-29T15:43:16.400522Z",
+ "iopub.status.busy": "2024-11-29T15:43:16.400263Z",
+ "iopub.status.idle": "2024-11-29T15:43:16.403919Z",
+ "shell.execute_reply": "2024-11-29T15:43:16.403296Z"
}
},
"outputs": [],
diff --git a/notebooks/telapy/hermes.ipynb b/notebooks/telapy/hermes.ipynb
index d2f736b2a4..967b799d5f 100644
--- a/notebooks/telapy/hermes.ipynb
+++ b/notebooks/telapy/hermes.ipynb
@@ -26,10 +26,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:13.568083Z",
- "iopub.status.busy": "2023-12-01T10:46:13.567383Z",
- "iopub.status.idle": "2023-12-01T10:46:13.645349Z",
- "shell.execute_reply": "2023-12-01T10:46:13.644825Z"
+ "iopub.execute_input": "2024-11-29T15:43:17.337784Z",
+ "iopub.status.busy": "2024-11-29T15:43:17.337603Z",
+ "iopub.status.idle": "2024-11-29T15:43:17.398158Z",
+ "shell.execute_reply": "2024-11-29T15:43:17.397614Z"
}
},
"outputs": [
@@ -40,20 +40,24 @@
"Help on class HermesFile in module telapy.api.hermes:\n",
"\n",
"class HermesFile(builtins.object)\n",
- " | HermesFile(file_name, fformat, access='r', boundary_file=None, log_lvl='INFO')\n",
+ " | HermesFile(file_name, fformat, access='r', boundary_file=None, log_lvl='INFO', overwrite=False)\n",
" | \n",
- " | The Generic Python class for TELEMAC-MASCARET APIs\n",
+ " | Manage meshes using the HERMES extension module, which gives access to the\n",
+ " | HERMES Fortran API.\n",
" | \n",
" | Methods defined here:\n",
" | \n",
- " | __init__(self, file_name, fformat, access='r', boundary_file=None, log_lvl='INFO')\n",
- " | Constructor for HermesFile\n",
+ " | __init__(self, file_name, fformat, access='r', boundary_file=None, log_lvl='INFO', overwrite=False)\n",
+ " | HermesFile constructor.\n",
" | \n",
- " | @param file_name (string) Name of the file\n",
- " | @param fformat (string) File format\n",
- " | @param access (string) Access to the file ('r' for read 'w' for write)\n",
- " | @param boundary_file (string) Name of the boundary file\n",
- " | @param log_lvl (string) Logger level\n",
+ " | @param file_name (str) Mesh file name.\n",
+ " | @param fformat (str) Mesh file format.\n",
+ " | @param access (str) File access mode ('r' for read, 'w' for write, 'rw'\n",
+ " | for readwrite).\n",
+ " | @param boundary_file (str) Boundary file name if any.\n",
+ " | @param log_lvl (str) Level of log information.\n",
+ " | @param overwrite (bool) If True, any existing file of the same name\n",
+ " | will be overwritten if the file is opened for writing only ('w').\n",
" | \n",
" | __repr__(self)\n",
" | representation of the object\n",
@@ -311,10 +315,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:13.647425Z",
- "iopub.status.busy": "2023-12-01T10:46:13.647214Z",
- "iopub.status.idle": "2023-12-01T10:46:13.656964Z",
- "shell.execute_reply": "2023-12-01T10:46:13.656388Z"
+ "iopub.execute_input": "2024-11-29T15:43:17.400694Z",
+ "iopub.status.busy": "2024-11-29T15:43:17.400461Z",
+ "iopub.status.idle": "2024-11-29T15:43:17.410746Z",
+ "shell.execute_reply": "2024-11-29T15:43:17.410245Z"
}
},
"outputs": [
@@ -376,10 +380,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:13.658964Z",
- "iopub.status.busy": "2023-12-01T10:46:13.658781Z",
- "iopub.status.idle": "2023-12-01T10:46:13.666942Z",
- "shell.execute_reply": "2023-12-01T10:46:13.666547Z"
+ "iopub.execute_input": "2024-11-29T15:43:17.413112Z",
+ "iopub.status.busy": "2024-11-29T15:43:17.412914Z",
+ "iopub.status.idle": "2024-11-29T15:43:17.420536Z",
+ "shell.execute_reply": "2024-11-29T15:43:17.419910Z"
}
},
"outputs": [
@@ -536,10 +540,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:13.668874Z",
- "iopub.status.busy": "2023-12-01T10:46:13.668695Z",
- "iopub.status.idle": "2023-12-01T10:46:13.680020Z",
- "shell.execute_reply": "2023-12-01T10:46:13.679527Z"
+ "iopub.execute_input": "2024-11-29T15:43:17.422824Z",
+ "iopub.status.busy": "2024-11-29T15:43:17.422638Z",
+ "iopub.status.idle": "2024-11-29T15:43:17.433977Z",
+ "shell.execute_reply": "2024-11-29T15:43:17.433584Z"
}
},
"outputs": [
@@ -547,7 +551,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "DEBUG:telapy.api.hermes:Loading Hermes extension module\n"
+ "DEBUG:telapy.api.hermes:Loading the HERMES extension module\n"
]
},
{
@@ -561,7 +565,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "DEBUG:telapy.api.hermes:Opening bnd b'SERAFIN' in format /home/d60881/telemac/examples/telemac2d/gouttedo/geo_gouttedo.slf in mode b'READ '\n"
+ "DEBUG:telapy.api.hermes:Opening bnd b'SERAFIN ' in format /home/d60881/telemac/examples/telemac2d/gouttedo/geo_gouttedo.slf in mode b'READ '\n"
]
},
{
diff --git a/notebooks/telapy/mascaret_example.ipynb b/notebooks/telapy/mascaret_example.ipynb
index a2b1046376..3833274425 100644
--- a/notebooks/telapy/mascaret_example.ipynb
+++ b/notebooks/telapy/mascaret_example.ipynb
@@ -19,10 +19,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:14.673212Z",
- "iopub.status.busy": "2023-12-01T10:46:14.672503Z",
- "iopub.status.idle": "2023-12-01T10:46:14.724132Z",
- "shell.execute_reply": "2023-12-01T10:46:14.723596Z"
+ "iopub.execute_input": "2024-11-29T15:43:18.223527Z",
+ "iopub.status.busy": "2024-11-29T15:43:18.223331Z",
+ "iopub.status.idle": "2024-11-29T15:43:18.291282Z",
+ "shell.execute_reply": "2024-11-29T15:43:18.290718Z"
}
},
"outputs": [],
@@ -57,10 +57,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:14.727052Z",
- "iopub.status.busy": "2023-12-01T10:46:14.726826Z",
- "iopub.status.idle": "2023-12-01T10:46:14.736436Z",
- "shell.execute_reply": "2023-12-01T10:46:14.735908Z"
+ "iopub.execute_input": "2024-11-29T15:43:18.293663Z",
+ "iopub.status.busy": "2024-11-29T15:43:18.293420Z",
+ "iopub.status.idle": "2024-11-29T15:43:18.302939Z",
+ "shell.execute_reply": "2024-11-29T15:43:18.302397Z"
}
},
"outputs": [
@@ -68,11 +68,41 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "INFO:telapy.api.masc:Using MascaretApi\n",
- "INFO:telapy.api.masc:Loading libmascaret.so...\n",
- "INFO:telapy.api.masc:Library loaded.\n",
- "INFO:telapy.api.masc:Using MascaretApi\n",
- "INFO:telapy.api.masc:Loading libmascaret.so...\n",
+ "INFO:telapy.api.masc:Using MascaretApi\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "INFO:telapy.api.masc:Loading libmascaret.so...\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "INFO:telapy.api.masc:Library loaded.\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "INFO:telapy.api.masc:Using MascaretApi\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "INFO:telapy.api.masc:Loading libmascaret.so...\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
"INFO:telapy.api.masc:Library loaded.\n"
]
},
@@ -111,10 +141,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:14.739328Z",
- "iopub.status.busy": "2023-12-01T10:46:14.739149Z",
- "iopub.status.idle": "2023-12-01T10:46:14.743851Z",
- "shell.execute_reply": "2023-12-01T10:46:14.743447Z"
+ "iopub.execute_input": "2024-11-29T15:43:18.304901Z",
+ "iopub.status.busy": "2024-11-29T15:43:18.304686Z",
+ "iopub.status.idle": "2024-11-29T15:43:18.308871Z",
+ "shell.execute_reply": "2024-11-29T15:43:18.308345Z"
}
},
"outputs": [],
@@ -162,10 +192,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:14.746416Z",
- "iopub.status.busy": "2023-12-01T10:46:14.746229Z",
- "iopub.status.idle": "2023-12-01T10:46:14.956087Z",
- "shell.execute_reply": "2023-12-01T10:46:14.955658Z"
+ "iopub.execute_input": "2024-11-29T15:43:18.310827Z",
+ "iopub.status.busy": "2024-11-29T15:43:18.310619Z",
+ "iopub.status.idle": "2024-11-29T15:43:18.525101Z",
+ "shell.execute_reply": "2024-11-29T15:43:18.524406Z"
}
},
"outputs": [
@@ -175,7 +205,13 @@
"text": [
"INFO:telapy.api.masc:Model imported with:\n",
"-> file_name: [b'mascaret.xcas', b'geometrie', b'hydrogramme.loi', b'limnigramme.loi', b'mascaret0.lis', b'mascaret0.opt', b'init.lig']\n",
- "-> file_type: [b'xcas', b'geo', b'loi', b'loi', b'listing', b'res', b'lig'].\n",
+ "-> file_type: [b'xcas', b'geo', b'loi', b'loi', b'listing', b'res', b'lig'].\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
"INFO:telapy.api.masc:Model imported with:\n",
"-> file_name: [b'sarap.xcas', b'geometrie', b'hydrogramme.loi', b'limnigramme.loi', b'mascaret0.lis', b'mascaret0.opt']\n",
"-> file_type: [b'xcas', b'geo', b'loi', b'loi', b'listing', b'res'].\n"
@@ -213,10 +249,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:14.958306Z",
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@@ -281,10 +317,10 @@
"execution_count": 6,
"metadata": {
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+ "shell.execute_reply": "2024-11-29T15:43:18.536010Z"
}
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"outputs": [
@@ -316,10 +352,10 @@
"execution_count": 7,
"metadata": {
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@@ -350,10 +386,10 @@
"execution_count": 8,
"metadata": {
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@@ -373,10 +409,10 @@
"execution_count": 9,
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@@ -394,10 +430,10 @@
"execution_count": 10,
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"outputs": [
@@ -454,10 +490,10 @@
"execution_count": 11,
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+ "shell.execute_reply": "2024-11-29T15:43:19.604359Z"
}
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"outputs": [
diff --git a/notebooks/telapy/telemac2d.ipynb b/notebooks/telapy/telemac2d.ipynb
index a45bbf98db..de3883dc09 100644
--- a/notebooks/telapy/telemac2d.ipynb
+++ b/notebooks/telapy/telemac2d.ipynb
@@ -103,10 +103,10 @@
"execution_count": 1,
"metadata": {
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- "shell.execute_reply": "2023-12-01T10:46:17.253891Z"
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+ "shell.execute_reply": "2024-11-29T15:43:20.569155Z"
}
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"outputs": [],
@@ -126,10 +126,10 @@
"execution_count": 2,
"metadata": {
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- "iopub.execute_input": "2023-12-01T10:46:17.256655Z",
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+ "shell.execute_reply": "2024-11-29T15:43:20.577239Z"
}
},
"outputs": [
@@ -160,13 +160,22 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:17.263892Z",
- "iopub.status.busy": "2023-12-01T10:46:17.263721Z",
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- "shell.execute_reply": "2023-12-01T10:46:20.380564Z"
+ "iopub.execute_input": "2024-11-29T15:43:20.580568Z",
+ "iopub.status.busy": "2024-11-29T15:43:20.580374Z",
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+ "shell.execute_reply": "2024-11-29T15:43:23.944396Z"
}
},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\n",
+ "No protocol specified\n",
+ "No protocol specified\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
@@ -177,7 +186,7 @@
{
"data": {
"text/plain": [
- "<telapy.api.t2d.Telemac2d at 0x7f5fc85cac40>"
+ "<telapy.api.t2d.Telemac2d at 0x7ff6d74a3700>"
]
},
"execution_count": 3,
@@ -212,10 +221,10 @@
"execution_count": 4,
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+ "iopub.execute_input": "2024-11-29T15:43:23.947256Z",
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}
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"outputs": [
@@ -385,10 +394,10 @@
"execution_count": 5,
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@@ -427,10 +436,10 @@
"execution_count": 6,
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@@ -468,10 +477,10 @@
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@@ -509,10 +518,10 @@
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@@ -546,10 +555,10 @@
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@@ -583,10 +592,10 @@
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@@ -613,10 +622,10 @@
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@@ -652,10 +661,10 @@
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@@ -689,10 +698,10 @@
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@@ -725,10 +734,10 @@
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@@ -760,10 +769,10 @@
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@@ -795,10 +804,10 @@
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@@ -830,10 +839,10 @@
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@@ -867,10 +876,10 @@
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@@ -910,10 +919,10 @@
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@@ -950,10 +959,10 @@
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@@ -996,10 +1005,10 @@
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}
},
"outputs": [],
@@ -1012,10 +1021,10 @@
"execution_count": 22,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:20.470941Z",
- "iopub.status.busy": "2023-12-01T10:46:20.470752Z",
- "iopub.status.idle": "2023-12-01T10:46:20.474018Z",
- "shell.execute_reply": "2023-12-01T10:46:20.473557Z"
+ "iopub.execute_input": "2024-11-29T15:43:24.049629Z",
+ "iopub.status.busy": "2024-11-29T15:43:24.049439Z",
+ "iopub.status.idle": "2024-11-29T15:43:24.052987Z",
+ "shell.execute_reply": "2024-11-29T15:43:24.052436Z"
}
},
"outputs": [
@@ -1186,10 +1195,10 @@
"execution_count": 23,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:20.476206Z",
- "iopub.status.busy": "2023-12-01T10:46:20.475947Z",
- "iopub.status.idle": "2023-12-01T10:46:20.490377Z",
- "shell.execute_reply": "2023-12-01T10:46:20.489774Z"
+ "iopub.execute_input": "2024-11-29T15:43:24.055794Z",
+ "iopub.status.busy": "2024-11-29T15:43:24.055591Z",
+ "iopub.status.idle": "2024-11-29T15:43:24.069356Z",
+ "shell.execute_reply": "2024-11-29T15:43:24.068943Z"
}
},
"outputs": [
@@ -1208,7 +1217,7 @@
" T E L E M M A A C \n",
" T EEEEE LLLLL EEEEE M M A A CCCCC\n",
" \n",
- " 2D VERSION V8P5 FORTRAN 2003 \n",
+ " 2D VERSION MAIN FORTRAN 2003 \n",
"\n",
"\n",
"\n",
@@ -1249,7 +1258,18 @@
" * LECDON: *\n",
" * AFTER CALLING DAMOCLES *\n",
" * CHECKING OF DATA READ *\n",
- " * IN THE STEER"
+ " * IN THE STEERING FILE *\n",
+ " ********************************************\n",
+ "\n",
+ " TREATMENT OF NEGATIVE DEPTHS = 2\n",
+ " MASS-LUMPING ON H AUTOMATICALLY SET TO 1.D0\n",
+ " CONTINUITY CORRECTION AUTOMATICALLY SET TO YES\n",
+ " SUPG OPTION AUTOMATICALLY SET TO 0 FOR H\n",
+ "\n",
+ "\n",
+ " EXITING LECDON. NAME OF THE STUDY:\n",
+ " TELEMAC 2D : rupture digue - Qinitial \n",
+ "\n"
]
},
{
@@ -1261,19 +1281,6 @@
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "ING FILE *\n",
- " ********************************************\n",
- "\n",
- "\n",
- " EXITING LECDON. NAME OF THE STUDY:\n",
- " TELEMAC 2D : rupture digue - Qinitial \n",
- "\n"
- ]
}
],
"source": [
@@ -1292,10 +1299,10 @@
"execution_count": 24,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:20.493345Z",
- "iopub.status.busy": "2023-12-01T10:46:20.493150Z",
- "iopub.status.idle": "2023-12-01T10:46:20.547128Z",
- "shell.execute_reply": "2023-12-01T10:46:20.546311Z"
+ "iopub.execute_input": "2024-11-29T15:43:24.072751Z",
+ "iopub.status.busy": "2024-11-29T15:43:24.072557Z",
+ "iopub.status.idle": "2024-11-29T15:43:24.123017Z",
+ "shell.execute_reply": "2024-11-29T15:43:24.122060Z"
}
},
"outputs": [
@@ -1303,7 +1310,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " OPENING FILES FOR TELEMAC2D \n",
+ " OPENING FILES FOR TELEMAC2D \n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
" OPENING: T2DGEO-geo_breach.slf\n",
" OPENING: T2DCLI-geo_breach.cli\n",
" OPENING: T2DPRE-ini_breach.slf\n",
@@ -1365,14 +1378,7 @@
" BEGINS AT BOUNDARY POINT: 1 , WITH GLOBAL NUMBER: 23\n",
" AND COORDINATES: 0.000000 0.000000 \n",
" ENDS AT BOUNDARY POINT: 534 , WITH GLOBAL NUMBER: 43\n",
- " AND "
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "COORDINATES: 5000.000 0.000000 \n",
+ " AND COORDINATES: 5000.000 0.000000 \n",
"\n",
" BOUNDARY 2 : \n",
" BEGINS AT BOUNDARY POINT: 544 , WITH GLOBAL NUMBER: 158\n",
@@ -1427,10 +1433,10 @@
"execution_count": 25,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:20.549097Z",
- "iopub.status.busy": "2023-12-01T10:46:20.548943Z",
- "iopub.status.idle": "2023-12-01T10:46:20.963853Z",
- "shell.execute_reply": "2023-12-01T10:46:20.963303Z"
+ "iopub.execute_input": "2024-11-29T15:43:24.126055Z",
+ "iopub.status.busy": "2024-11-29T15:43:24.125848Z",
+ "iopub.status.idle": "2024-11-29T15:43:24.570913Z",
+ "shell.execute_reply": "2024-11-29T15:43:24.570396Z"
}
},
"outputs": [
@@ -1462,10 +1468,10 @@
"execution_count": 26,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:20.965836Z",
- "iopub.status.busy": "2023-12-01T10:46:20.965609Z",
- "iopub.status.idle": "2023-12-01T10:46:21.112057Z",
- "shell.execute_reply": "2023-12-01T10:46:21.111503Z"
+ "iopub.execute_input": "2024-11-29T15:43:24.572980Z",
+ "iopub.status.busy": "2024-11-29T15:43:24.572746Z",
+ "iopub.status.idle": "2024-11-29T15:43:24.730080Z",
+ "shell.execute_reply": "2024-11-29T15:43:24.729438Z"
}
},
"outputs": [
@@ -1476,7 +1482,7 @@
" THE LIQUID BOUNDARIES FILE CONTAINS\n",
" 3 LINES WITH:\n",
" SL(1) Q(2) \n",
- " USING STREAMLINE VERSION V8P5 FOR CHARACTERISTICS\n"
+ " USING STREAMLINE VERSION MAIN FOR CHARACTERISTICS\n"
]
}
],
@@ -1504,10 +1510,10 @@
"execution_count": 27,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:21.114115Z",
- "iopub.status.busy": "2023-12-01T10:46:21.113914Z",
- "iopub.status.idle": "2023-12-01T10:46:21.117593Z",
- "shell.execute_reply": "2023-12-01T10:46:21.117179Z"
+ "iopub.execute_input": "2024-11-29T15:43:24.732788Z",
+ "iopub.status.busy": "2024-11-29T15:43:24.732599Z",
+ "iopub.status.idle": "2024-11-29T15:43:24.736798Z",
+ "shell.execute_reply": "2024-11-29T15:43:24.736160Z"
}
},
"outputs": [
@@ -1541,10 +1547,10 @@
"execution_count": 28,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:21.119525Z",
- "iopub.status.busy": "2023-12-01T10:46:21.119338Z",
- "iopub.status.idle": "2023-12-01T10:46:21.596114Z",
- "shell.execute_reply": "2023-12-01T10:46:21.595691Z"
+ "iopub.execute_input": "2024-11-29T15:43:24.739399Z",
+ "iopub.status.busy": "2024-11-29T15:43:24.739203Z",
+ "iopub.status.idle": "2024-11-29T15:43:25.232124Z",
+ "shell.execute_reply": "2024-11-29T15:43:25.231517Z"
}
},
"outputs": [
@@ -1575,10 +1581,10 @@
"execution_count": 29,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:21.598166Z",
- "iopub.status.busy": "2023-12-01T10:46:21.597954Z",
- "iopub.status.idle": "2023-12-01T10:46:21.601982Z",
- "shell.execute_reply": "2023-12-01T10:46:21.601539Z"
+ "iopub.execute_input": "2024-11-29T15:43:25.235005Z",
+ "iopub.status.busy": "2024-11-29T15:43:25.234807Z",
+ "iopub.status.idle": "2024-11-29T15:43:25.238969Z",
+ "shell.execute_reply": "2024-11-29T15:43:25.238439Z"
}
},
"outputs": [
@@ -1609,10 +1615,10 @@
"execution_count": 30,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:21.603916Z",
- "iopub.status.busy": "2023-12-01T10:46:21.603719Z",
- "iopub.status.idle": "2023-12-01T10:46:21.607683Z",
- "shell.execute_reply": "2023-12-01T10:46:21.607291Z"
+ "iopub.execute_input": "2024-11-29T15:43:25.241600Z",
+ "iopub.status.busy": "2024-11-29T15:43:25.241403Z",
+ "iopub.status.idle": "2024-11-29T15:43:25.245750Z",
+ "shell.execute_reply": "2024-11-29T15:43:25.245142Z"
}
},
"outputs": [
@@ -1647,10 +1653,10 @@
"execution_count": 31,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:21.609570Z",
- "iopub.status.busy": "2023-12-01T10:46:21.609376Z",
- "iopub.status.idle": "2023-12-01T10:46:21.612971Z",
- "shell.execute_reply": "2023-12-01T10:46:21.612489Z"
+ "iopub.execute_input": "2024-11-29T15:43:25.248358Z",
+ "iopub.status.busy": "2024-11-29T15:43:25.248168Z",
+ "iopub.status.idle": "2024-11-29T15:43:25.252120Z",
+ "shell.execute_reply": "2024-11-29T15:43:25.251480Z"
}
},
"outputs": [
@@ -1681,10 +1687,10 @@
"execution_count": 32,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:21.615068Z",
- "iopub.status.busy": "2023-12-01T10:46:21.614851Z",
- "iopub.status.idle": "2023-12-01T10:46:21.618006Z",
- "shell.execute_reply": "2023-12-01T10:46:21.617636Z"
+ "iopub.execute_input": "2024-11-29T15:43:25.254704Z",
+ "iopub.status.busy": "2024-11-29T15:43:25.254511Z",
+ "iopub.status.idle": "2024-11-29T15:43:25.258365Z",
+ "shell.execute_reply": "2024-11-29T15:43:25.257775Z"
}
},
"outputs": [
@@ -1709,10 +1715,10 @@
"execution_count": 33,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:21.619820Z",
- "iopub.status.busy": "2023-12-01T10:46:21.619637Z",
- "iopub.status.idle": "2023-12-01T10:46:21.622863Z",
- "shell.execute_reply": "2023-12-01T10:46:21.622508Z"
+ "iopub.execute_input": "2024-11-29T15:43:25.260879Z",
+ "iopub.status.busy": "2024-11-29T15:43:25.260692Z",
+ "iopub.status.idle": "2024-11-29T15:43:25.264666Z",
+ "shell.execute_reply": "2024-11-29T15:43:25.264037Z"
}
},
"outputs": [
@@ -1744,10 +1750,10 @@
"execution_count": 34,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:21.624762Z",
- "iopub.status.busy": "2023-12-01T10:46:21.624566Z",
- "iopub.status.idle": "2023-12-01T10:46:21.628045Z",
- "shell.execute_reply": "2023-12-01T10:46:21.627660Z"
+ "iopub.execute_input": "2024-11-29T15:43:25.267266Z",
+ "iopub.status.busy": "2024-11-29T15:43:25.267078Z",
+ "iopub.status.idle": "2024-11-29T15:43:25.270603Z",
+ "shell.execute_reply": "2024-11-29T15:43:25.270115Z"
}
},
"outputs": [
diff --git a/notebooks/telapy/telemac2d_example.ipynb b/notebooks/telapy/telemac2d_example.ipynb
index 030a367737..a0543323bc 100644
--- a/notebooks/telapy/telemac2d_example.ipynb
+++ b/notebooks/telapy/telemac2d_example.ipynb
@@ -27,10 +27,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:22.916648Z",
- "iopub.status.busy": "2023-12-01T10:46:22.914569Z",
- "iopub.status.idle": "2023-12-01T10:46:22.994676Z",
- "shell.execute_reply": "2023-12-01T10:46:22.994181Z"
+ "iopub.execute_input": "2024-11-29T15:43:26.459845Z",
+ "iopub.status.busy": "2024-11-29T15:43:26.459634Z",
+ "iopub.status.idle": "2024-11-29T15:43:26.516195Z",
+ "shell.execute_reply": "2024-11-29T15:43:26.515665Z"
}
},
"outputs": [],
@@ -66,13 +66,22 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:22.997054Z",
- "iopub.status.busy": "2023-12-01T10:46:22.996844Z",
- "iopub.status.idle": "2023-12-01T10:46:26.011857Z",
- "shell.execute_reply": "2023-12-01T10:46:26.011251Z"
+ "iopub.execute_input": "2024-11-29T15:43:26.518475Z",
+ "iopub.status.busy": "2024-11-29T15:43:26.518254Z",
+ "iopub.status.idle": "2024-11-29T15:43:29.867938Z",
+ "shell.execute_reply": "2024-11-29T15:43:29.867303Z"
}
},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\n",
+ "No protocol specified\n",
+ "No protocol specified\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
@@ -114,10 +123,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:26.014074Z",
- "iopub.status.busy": "2023-12-01T10:46:26.013888Z",
- "iopub.status.idle": "2023-12-01T10:46:26.029515Z",
- "shell.execute_reply": "2023-12-01T10:46:26.028956Z"
+ "iopub.execute_input": "2024-11-29T15:43:29.870373Z",
+ "iopub.status.busy": "2024-11-29T15:43:29.870135Z",
+ "iopub.status.idle": "2024-11-29T15:43:29.885968Z",
+ "shell.execute_reply": "2024-11-29T15:43:29.885477Z"
}
},
"outputs": [
@@ -136,7 +145,7 @@
" T E L E M M A A C \n",
" T EEEEE LLLLL EEEEE M M A A CCCCC\n",
" \n",
- " 2D VERSION V8P5 FORTRAN 2003 \n",
+ " 2D VERSION MAIN FORTRAN 2003 \n",
"\n",
"\n",
"\n",
@@ -149,7 +158,24 @@
" \\ ' o ' \n",
" /\\ o \\ o \n",
" >=)'> ' /\\ ' \n",
- " \\/ \\ >=)'> ~ \n",
+ " "
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "0"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " \\/ \\ >=)'> ~ \n",
" / /\\ \\/ \n",
" ~ >=)'> / . \n",
" \\/ ) \n",
@@ -180,21 +206,16 @@
" * IN THE STEERING FILE *\n",
" ********************************************\n",
"\n",
+ " TREATMENT OF NEGATIVE DEPTHS = 2\n",
+ " MASS-LUMPING ON H AUTOMATICALLY SET TO 1.D0\n",
+ " CONTINUITY CORRECTION AUTOMATICALLY SET TO YES\n",
+ " SUPG OPTION AUTOMATICALLY SET TO 0 FOR H\n",
+ "\n",
"\n",
" EXITING LECDON. NAME OF THE STUDY:\n",
" TELEMAC 2D : rupture digue - Qinitial \n",
"\n"
]
- },
- {
- "data": {
- "text/plain": [
- "0"
- ]
- },
- "execution_count": 3,
- "metadata": {},
- "output_type": "execute_result"
}
],
"source": [
@@ -213,10 +234,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:26.031389Z",
- "iopub.status.busy": "2023-12-01T10:46:26.031208Z",
- "iopub.status.idle": "2023-12-01T10:46:26.083268Z",
- "shell.execute_reply": "2023-12-01T10:46:26.082287Z"
+ "iopub.execute_input": "2024-11-29T15:43:29.887943Z",
+ "iopub.status.busy": "2024-11-29T15:43:29.887708Z",
+ "iopub.status.idle": "2024-11-29T15:43:29.937214Z",
+ "shell.execute_reply": "2024-11-29T15:43:29.936508Z"
}
},
"outputs": [
@@ -225,13 +246,7 @@
"output_type": "stream",
"text": [
" OPENING FILES FOR TELEMAC2D \n",
- " OPENING: T2DGEO-geo_breach.slf\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ " OPENING: T2DGEO-geo_breach.slf\n",
" OPENING: T2DCLI-geo_breach.cli\n",
" OPENING: T2DPRE-ini_breach.slf\n",
" OPENING: T2DRES-r2d_breach.slf\n",
@@ -292,7 +307,14 @@
" BEGINS AT BOUNDARY POINT: 1 , WITH GLOBAL NUMBER: 23\n",
" AND COORDINATES: 0.000000 0.000000 \n",
" ENDS AT BOUNDARY POINT: 534 , WITH GLOBAL NUMBER: 43\n",
- " AND COORDINATES: 5000.000 0.000000 \n",
+ " AND "
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "COORDINATES: 5000.000 0.000000 \n",
"\n",
" BOUNDARY 2 : \n",
" BEGINS AT BOUNDARY POINT: 544 , WITH GLOBAL NUMBER: 158\n",
@@ -347,10 +369,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:26.086550Z",
- "iopub.status.busy": "2023-12-01T10:46:26.086377Z",
- "iopub.status.idle": "2023-12-01T10:46:26.695513Z",
- "shell.execute_reply": "2023-12-01T10:46:26.694877Z"
+ "iopub.execute_input": "2024-11-29T15:43:29.939330Z",
+ "iopub.status.busy": "2024-11-29T15:43:29.939118Z",
+ "iopub.status.idle": "2024-11-29T15:43:30.570840Z",
+ "shell.execute_reply": "2024-11-29T15:43:30.570285Z"
}
},
"outputs": [
@@ -381,10 +403,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:26.697939Z",
- "iopub.status.busy": "2023-12-01T10:46:26.697686Z",
- "iopub.status.idle": "2023-12-01T10:46:27.174934Z",
- "shell.execute_reply": "2023-12-01T10:46:27.174296Z"
+ "iopub.execute_input": "2024-11-29T15:43:30.573035Z",
+ "iopub.status.busy": "2024-11-29T15:43:30.572786Z",
+ "iopub.status.idle": "2024-11-29T15:43:31.064427Z",
+ "shell.execute_reply": "2024-11-29T15:43:31.063885Z"
}
},
"outputs": [
@@ -415,10 +437,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:27.177346Z",
- "iopub.status.busy": "2023-12-01T10:46:27.177100Z",
- "iopub.status.idle": "2023-12-01T10:46:27.181324Z",
- "shell.execute_reply": "2023-12-01T10:46:27.180781Z"
+ "iopub.execute_input": "2024-11-29T15:43:31.066519Z",
+ "iopub.status.busy": "2024-11-29T15:43:31.066313Z",
+ "iopub.status.idle": "2024-11-29T15:43:31.069830Z",
+ "shell.execute_reply": "2024-11-29T15:43:31.069451Z"
}
},
"outputs": [
@@ -450,10 +472,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:27.183590Z",
- "iopub.status.busy": "2023-12-01T10:46:27.183356Z",
- "iopub.status.idle": "2023-12-01T10:46:27.186998Z",
- "shell.execute_reply": "2023-12-01T10:46:27.186394Z"
+ "iopub.execute_input": "2024-11-29T15:43:31.071739Z",
+ "iopub.status.busy": "2024-11-29T15:43:31.071529Z",
+ "iopub.status.idle": "2024-11-29T15:43:31.074427Z",
+ "shell.execute_reply": "2024-11-29T15:43:31.073906Z"
}
},
"outputs": [],
@@ -475,10 +497,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:27.189213Z",
- "iopub.status.busy": "2023-12-01T10:46:27.188978Z",
- "iopub.status.idle": "2023-12-01T10:46:27.246522Z",
- "shell.execute_reply": "2023-12-01T10:46:27.245883Z"
+ "iopub.execute_input": "2024-11-29T15:43:31.076502Z",
+ "iopub.status.busy": "2024-11-29T15:43:31.076276Z",
+ "iopub.status.idle": "2024-11-29T15:43:31.124609Z",
+ "shell.execute_reply": "2024-11-29T15:43:31.124093Z"
}
},
"outputs": [
@@ -507,10 +529,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:27.248951Z",
- "iopub.status.busy": "2023-12-01T10:46:27.248731Z",
- "iopub.status.idle": "2023-12-01T10:46:28.748441Z",
- "shell.execute_reply": "2023-12-01T10:46:28.746402Z"
+ "iopub.execute_input": "2024-11-29T15:43:31.126559Z",
+ "iopub.status.busy": "2024-11-29T15:43:31.126356Z",
+ "iopub.status.idle": "2024-11-29T15:43:32.654663Z",
+ "shell.execute_reply": "2024-11-29T15:43:32.654097Z"
}
},
"outputs": [
@@ -529,7 +551,6 @@
" THE LIQUID BOUNDARIES FILE CONTAINS\n",
" 3 LINES WITH:\n",
" SL(1) Q(2) \n",
- " USING STREAMLINE VERSION V8P5 FOR CHARACTERISTICS\n",
"\r",
"[ ] 1%"
]
@@ -538,6 +559,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
+ " USING STREAMLINE VERSION MAIN FOR CHARACTERISTICS\n",
"\r",
"[ ] 2%"
]
@@ -1347,10 +1369,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:28.750447Z",
- "iopub.status.busy": "2023-12-01T10:46:28.750252Z",
- "iopub.status.idle": "2023-12-01T10:46:28.826850Z",
- "shell.execute_reply": "2023-12-01T10:46:28.826386Z"
+ "iopub.execute_input": "2024-11-29T15:43:32.656777Z",
+ "iopub.status.busy": "2024-11-29T15:43:32.656541Z",
+ "iopub.status.idle": "2024-11-29T15:43:32.749159Z",
+ "shell.execute_reply": "2024-11-29T15:43:32.748624Z"
}
},
"outputs": [
@@ -1387,10 +1409,10 @@
"execution_count": 12,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:28.828847Z",
- "iopub.status.busy": "2023-12-01T10:46:28.828660Z",
- "iopub.status.idle": "2023-12-01T10:46:28.832435Z",
- "shell.execute_reply": "2023-12-01T10:46:28.831927Z"
+ "iopub.execute_input": "2024-11-29T15:43:32.751141Z",
+ "iopub.status.busy": "2024-11-29T15:43:32.750932Z",
+ "iopub.status.idle": "2024-11-29T15:43:32.754243Z",
+ "shell.execute_reply": "2024-11-29T15:43:32.753833Z"
}
},
"outputs": [
@@ -1413,7 +1435,7 @@
"\n",
"\n",
" ELAPSE TIME : \n",
- " 2 SECONDS\n"
+ " 3 SECONDS\n"
]
}
],
diff --git a/notebooks/workshop/Presentation.ipynb b/notebooks/workshop/Presentation.ipynb
index 8efb019d05..b984c01af6 100644
--- a/notebooks/workshop/Presentation.ipynb
+++ b/notebooks/workshop/Presentation.ipynb
@@ -19,10 +19,10 @@
"metadata": {
"collapsed": false,
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:30.044585Z",
- "iopub.status.busy": "2023-12-01T10:46:30.043844Z",
- "iopub.status.idle": "2023-12-01T10:46:30.066405Z",
- "shell.execute_reply": "2023-12-01T10:46:30.064361Z"
+ "iopub.execute_input": "2024-11-29T15:43:33.807943Z",
+ "iopub.status.busy": "2024-11-29T15:43:33.807746Z",
+ "iopub.status.idle": "2024-11-29T15:43:33.813804Z",
+ "shell.execute_reply": "2024-11-29T15:43:33.813242Z"
},
"slideshow": {
"slide_type": "-"
@@ -48,10 +48,10 @@
"metadata": {
"collapsed": false,
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:30.074103Z",
- "iopub.status.busy": "2023-12-01T10:46:30.073465Z",
- "iopub.status.idle": "2023-12-01T10:46:30.094191Z",
- "shell.execute_reply": "2023-12-01T10:46:30.092002Z"
+ "iopub.execute_input": "2024-11-29T15:43:33.816384Z",
+ "iopub.status.busy": "2024-11-29T15:43:33.816192Z",
+ "iopub.status.idle": "2024-11-29T15:43:33.821547Z",
+ "shell.execute_reply": "2024-11-29T15:43:33.821157Z"
},
"slideshow": {
"slide_type": "-"
@@ -122,10 +122,10 @@
"metadata": {
"collapsed": false,
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:30.102051Z",
- "iopub.status.busy": "2023-12-01T10:46:30.101470Z",
- "iopub.status.idle": "2023-12-01T10:46:30.229503Z",
- "shell.execute_reply": "2023-12-01T10:46:30.226657Z"
+ "iopub.execute_input": "2024-11-29T15:43:33.824262Z",
+ "iopub.status.busy": "2024-11-29T15:43:33.824037Z",
+ "iopub.status.idle": "2024-11-29T15:43:33.935997Z",
+ "shell.execute_reply": "2024-11-29T15:43:33.935446Z"
},
"slideshow": {
"slide_type": "-"
@@ -136,15 +136,15 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\u001b[0m\u001b[01;32martemis.py\u001b[0m* \u001b[01;34mdata_manip\u001b[0m/ \u001b[01;32mplot.py\u001b[0m* \u001b[01;34mtelapy\u001b[0m/\r\n",
- "\u001b[01;32mcheck_mesh.py\u001b[0m* \u001b[01;32mdoc_telemac.py\u001b[0m* \u001b[01;34mpostel\u001b[0m/ \u001b[01;32mtelemac2d.py\u001b[0m*\r\n",
- "\u001b[01;32mcompact_telemac.py\u001b[0m* \u001b[01;34meficas\u001b[0m/ \u001b[01;32mpostel3d.py\u001b[0m* \u001b[01;32mtelemac3d.py\u001b[0m*\r\n",
- "\u001b[01;34mcompilation\u001b[0m/ \u001b[01;34mexecution\u001b[0m/ \u001b[01;34mpretel\u001b[0m/ \u001b[01;32mtemplate.py\u001b[0m*\r\n",
- "\u001b[01;32mcompile_telemac.py\u001b[0m* \u001b[01;32mextract.py\u001b[0m* \u001b[01;34m__pycache__\u001b[0m/ \u001b[01;32mtomawac.py\u001b[0m*\r\n",
- "\u001b[01;32mconfig.py\u001b[0m* \u001b[01;32mgretel.py\u001b[0m* \u001b[01;32mruncode.py\u001b[0m* \u001b[01;34mutils\u001b[0m/\r\n",
- "\u001b[01;34mconfiguration\u001b[0m/ \u001b[01;32mmanip_cas.py\u001b[0m* \u001b[01;32mrun_cpl.py\u001b[0m* \u001b[01;32mvalidate_telemac.py\u001b[0m*\r\n",
- "\u001b[01;32mconverter.py\u001b[0m* \u001b[01;32mmascaret.py\u001b[0m* \u001b[01;32mrun_telfile.py\u001b[0m* \u001b[01;34mvvytel\u001b[0m/\r\n",
- "\u001b[01;32mdamocles.py\u001b[0m* \u001b[01;32mpartel.py\u001b[0m* \u001b[01;32mstbtel.py\u001b[0m*\r\n"
+ "\u001b[0m\u001b[01;34m__pycache__\u001b[0m/ \u001b[01;32mdamocles.py\u001b[0m* \u001b[01;32mplot.py\u001b[0m* \u001b[01;32mtelemac2d.py\u001b[0m*\r\n",
+ "\u001b[01;32martemis.py\u001b[0m* \u001b[01;34mdata_manip\u001b[0m/ \u001b[01;34mpostel\u001b[0m/ \u001b[01;32mtelemac3d.py\u001b[0m*\r\n",
+ "\u001b[01;32mcheck_mesh.py\u001b[0m* \u001b[01;32mdoc_telemac.py\u001b[0m* \u001b[01;32mpostel3d.py\u001b[0m* \u001b[01;32mtemplate.py\u001b[0m*\r\n",
+ "\u001b[01;32mcompact_telemac.py\u001b[0m* \u001b[01;34mexecution\u001b[0m/ \u001b[01;34mpretel\u001b[0m/ \u001b[01;32mtomawac.py\u001b[0m*\r\n",
+ "\u001b[01;34mcompilation\u001b[0m/ \u001b[01;32mextract.py\u001b[0m* \u001b[01;32mrun_cpl.py\u001b[0m* \u001b[01;34mutils\u001b[0m/\r\n",
+ "\u001b[01;32mcompile_telemac.py\u001b[0m* \u001b[01;32mgretel.py\u001b[0m* \u001b[01;32mrun_telfile.py\u001b[0m* \u001b[01;32mvalidate_telemac.py\u001b[0m*\r\n",
+ "\u001b[01;32mconfig.py\u001b[0m* \u001b[01;32mmanip_cas.py\u001b[0m* \u001b[01;32mruncode.py\u001b[0m* \u001b[01;34mvvytel\u001b[0m/\r\n",
+ "\u001b[01;34mconfiguration\u001b[0m/ \u001b[01;32mmascaret.py\u001b[0m* \u001b[01;32mstbtel.py\u001b[0m*\r\n",
+ "\u001b[01;32mconverter.py\u001b[0m* \u001b[01;32mpartel.py\u001b[0m* \u001b[01;34mtelapy\u001b[0m/\r\n"
]
}
],
@@ -176,10 +176,10 @@
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- "iopub.status.busy": "2023-12-01T10:46:30.238303Z",
- "iopub.status.idle": "2023-12-01T10:46:30.458864Z",
- "shell.execute_reply": "2023-12-01T10:46:30.455961Z"
+ "iopub.execute_input": "2024-11-29T15:43:33.938348Z",
+ "iopub.status.busy": "2024-11-29T15:43:33.938146Z",
+ "iopub.status.idle": "2024-11-29T15:43:34.109884Z",
+ "shell.execute_reply": "2024-11-29T15:43:34.109236Z"
},
"slideshow": {
"slide_type": "-"
@@ -258,10 +258,10 @@
"metadata": {
"collapsed": false,
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:30.465968Z",
- "iopub.status.busy": "2023-12-01T10:46:30.465756Z",
- "iopub.status.idle": "2023-12-01T10:46:30.664429Z",
- "shell.execute_reply": "2023-12-01T10:46:30.661585Z"
+ "iopub.execute_input": "2024-11-29T15:43:34.112798Z",
+ "iopub.status.busy": "2024-11-29T15:43:34.112596Z",
+ "iopub.status.idle": "2024-11-29T15:43:34.300414Z",
+ "shell.execute_reply": "2024-11-29T15:43:34.299723Z"
},
"slideshow": {
"slide_type": "-"
@@ -284,7 +284,13 @@
" | | | | | || (_| || || | | |\r\n",
" |_| |_| |_| \\__,_||_||_| |_|\r\n",
" \r\n",
- " \r\n",
+ " \r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"\r\n",
"\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
@@ -340,10 +346,10 @@
"metadata": {
"collapsed": false,
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:30.673987Z",
- "iopub.status.busy": "2023-12-01T10:46:30.673206Z",
- "iopub.status.idle": "2023-12-01T10:46:31.143004Z",
- "shell.execute_reply": "2023-12-01T10:46:31.140156Z"
+ "iopub.execute_input": "2024-11-29T15:43:34.303357Z",
+ "iopub.status.busy": "2024-11-29T15:43:34.303161Z",
+ "iopub.status.idle": "2024-11-29T15:43:34.751403Z",
+ "shell.execute_reply": "2024-11-29T15:43:34.750678Z"
},
"slideshow": {
"slide_type": "-"
@@ -451,10 +457,10 @@
"metadata": {
"collapsed": false,
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- "iopub.execute_input": "2023-12-01T10:46:31.150094Z",
- "iopub.status.busy": "2023-12-01T10:46:31.149893Z",
- "iopub.status.idle": "2023-12-01T10:46:31.412412Z",
- "shell.execute_reply": "2023-12-01T10:46:31.411739Z"
+ "iopub.execute_input": "2024-11-29T15:43:34.753705Z",
+ "iopub.status.busy": "2024-11-29T15:43:34.753510Z",
+ "iopub.status.idle": "2024-11-29T15:43:35.008962Z",
+ "shell.execute_reply": "2024-11-29T15:43:35.008514Z"
},
"scrolled": true,
"slideshow": {
@@ -531,8 +537,8 @@
" | \n",
" | @param method (int) the method to be used for merging data\"\n",
" | \n",
- " | partionning(self, use_link)\n",
- " | Running partionning of the input files\n",
+ " | partitioning(self, use_link)\n",
+ " | Running partitioning of the input files\n",
" | \n",
" | run(self, options)\n",
" | Running the study\n",
@@ -596,10 +602,10 @@
"metadata": {
"collapsed": false,
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:31.415065Z",
- "iopub.status.busy": "2023-12-01T10:46:31.414831Z",
- "iopub.status.idle": "2023-12-01T10:46:31.418720Z",
- "shell.execute_reply": "2023-12-01T10:46:31.418246Z"
+ "iopub.execute_input": "2024-11-29T15:43:35.010902Z",
+ "iopub.status.busy": "2024-11-29T15:43:35.010664Z",
+ "iopub.status.idle": "2024-11-29T15:43:35.014680Z",
+ "shell.execute_reply": "2024-11-29T15:43:35.014175Z"
},
"slideshow": {
"slide_type": "subslide"
@@ -701,10 +707,10 @@
"metadata": {
"collapsed": false,
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:31.421570Z",
- "iopub.status.busy": "2023-12-01T10:46:31.421394Z",
- "iopub.status.idle": "2023-12-01T10:46:31.424800Z",
- "shell.execute_reply": "2023-12-01T10:46:31.424263Z"
+ "iopub.execute_input": "2024-11-29T15:43:35.016520Z",
+ "iopub.status.busy": "2024-11-29T15:43:35.016334Z",
+ "iopub.status.idle": "2024-11-29T15:43:35.019744Z",
+ "shell.execute_reply": "2024-11-29T15:43:35.019249Z"
},
"slideshow": {
"slide_type": "subslide"
@@ -773,10 +779,10 @@
"metadata": {
"collapsed": false,
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:31.427589Z",
- "iopub.status.busy": "2023-12-01T10:46:31.427415Z",
- "iopub.status.idle": "2023-12-01T10:46:31.897907Z",
- "shell.execute_reply": "2023-12-01T10:46:31.895058Z"
+ "iopub.execute_input": "2024-11-29T15:43:35.021589Z",
+ "iopub.status.busy": "2024-11-29T15:43:35.021406Z",
+ "iopub.status.idle": "2024-11-29T15:43:35.479823Z",
+ "shell.execute_reply": "2024-11-29T15:43:35.479180Z"
},
"slideshow": {
"slide_type": "-"
@@ -791,7 +797,13 @@
"\r\n",
"Loading Options and Configurations\r\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
- "\r\n",
+ "\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"usage: validate_telemac.py [-h] [-c config name] [-f config file]\r\n",
" [-r TELEMAC root] [-s] [-t] [-w W_DIR] [--nozip]\r\n",
" [--jobname JOBNAME] [--queue HPC_QUEUE]\r\n",
@@ -941,10 +953,10 @@
"metadata": {
"collapsed": false,
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:31.908100Z",
- "iopub.status.busy": "2023-12-01T10:46:31.907305Z",
- "iopub.status.idle": "2023-12-01T10:46:32.424628Z",
- "shell.execute_reply": "2023-12-01T10:46:32.423123Z"
+ "iopub.execute_input": "2024-11-29T15:43:35.482123Z",
+ "iopub.status.busy": "2024-11-29T15:43:35.481925Z",
+ "iopub.status.idle": "2024-11-29T15:43:35.997228Z",
+ "shell.execute_reply": "2024-11-29T15:43:35.996562Z"
},
"slideshow": {
"slide_type": "-"
@@ -956,11 +968,11 @@
"output_type": "stream",
"text": [
"usage: converter.py [-h] [-c config name] [-f config file] [-r TELEMAC root]\r\n",
- " {ecmwf2srf,gebco2srf,hycom2srf,kenue2shp,dat2vtu,generate_atm,generate_bnd,srf2med,srf2vtk,med2srf,med2srfd,refine,sis2gaia,xml2py,extract_ptravers_res_to_geoc,convert_listing_courlis,report2xls,shp2i2s,shp2txt,txt2shp}\r\n",
+ " {ecmwf2srf,gebco2srf,hycom2srf,kenue2shp,dat2vtu,generate_atm,generate_bnd,srf2med,srf2vtk,med2srf,med2srfd,refine,sis2gaia,extract_ptravers_res_to_geoc,convert_listing_courlis,report2xls,shp2i2s,shp2txt,txt2shp}\r\n",
" ...\r\n",
"\r\n",
"positional arguments:\r\n",
- " {ecmwf2srf,gebco2srf,hycom2srf,kenue2shp,dat2vtu,generate_atm,generate_bnd,srf2med,srf2vtk,med2srf,med2srfd,refine,sis2gaia,xml2py,extract_ptravers_res_to_geoc,convert_listing_courlis,report2xls,shp2i2s,shp2txt,txt2shp}\r\n",
+ " {ecmwf2srf,gebco2srf,hycom2srf,kenue2shp,dat2vtu,generate_atm,generate_bnd,srf2med,srf2vtk,med2srf,med2srfd,refine,sis2gaia,extract_ptravers_res_to_geoc,convert_listing_courlis,report2xls,shp2i2s,shp2txt,txt2shp}\r\n",
" converter command to do\r\n",
" ecmwf2srf extracting ECMWF data into a serafin-format file\r\n",
" gebco2srf Extracting GEBCO data into a serafin-format file\r\n",
@@ -969,8 +981,8 @@
" dat2vtu Convert a drogues file (output of telemac) into a VTU\r\n",
" file (Paraview)\r\n",
" generate_atm Map weather type data (varying in space and time)\r\n",
- " containedinto a SELAFIN, onto a SELAFIN file of your\r\n",
- " choosing(your MESH)\r\n",
+ " contained into a mesh file, onto the geometry of\r\n",
+ " another mesh\r\n",
" generate_bnd A script to map 2D or 3D outter model results, stored\r\n",
" asSELAFIN files, onto the spatially and time varying\r\n",
" boundary of a spatially contained SELAFIN file of your\r\n",
@@ -982,9 +994,7 @@
" med2srf Conversion from MED to serafin single precision\r\n",
" med2srfd Conversion from MED to serafin double precision\r\n",
" refine Refinment of the mesh using stbtel\r\n",
- " sis2gaia Conversion of the steering file from SISYPHE to GAIA\r\n",
- " xml2py Convert a xml for validation into a Python for\r\n",
- " validation\r\n",
+ " sis2gaia Conversion of a steering file from SISYPHE to GAIA\r\n",
" extract_ptravers_res_to_geoc\r\n",
" Extract from ptravers Courlis res file to Courlis\r\n",
" geometryfile at a given record\r\n",
@@ -1140,10 +1150,10 @@
"metadata": {
"collapsed": false,
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:32.431881Z",
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- "shell.execute_reply": "2023-12-01T10:46:33.010958Z"
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diff --git a/notebooks/workshop/exo_fluxes.ipynb b/notebooks/workshop/exo_fluxes.ipynb
index 3e2e53bf7d..8ccf3db1ab 100644
--- a/notebooks/workshop/exo_fluxes.ipynb
+++ b/notebooks/workshop/exo_fluxes.ipynb
@@ -18,10 +18,10 @@
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diff --git a/notebooks/workshop/exo_mascaret.ipynb b/notebooks/workshop/exo_mascaret.ipynb
index 6cca9ed52f..b2ef451474 100644
--- a/notebooks/workshop/exo_mascaret.ipynb
+++ b/notebooks/workshop/exo_mascaret.ipynb
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@@ -199,10 +199,10 @@
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@@ -260,10 +260,10 @@
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diff --git a/notebooks/workshop/exo_telemac2d.ipynb b/notebooks/workshop/exo_telemac2d.ipynb
index 52759ccbd6..32fa39ba4c 100644
--- a/notebooks/workshop/exo_telemac2d.ipynb
+++ b/notebooks/workshop/exo_telemac2d.ipynb
@@ -16,10 +16,10 @@
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diff --git a/notebooks/workshop/exo_telemac3d.ipynb b/notebooks/workshop/exo_telemac3d.ipynb
index 7a55726886..fd7882cb7a 100644
--- a/notebooks/workshop/exo_telemac3d.ipynb
+++ b/notebooks/workshop/exo_telemac3d.ipynb
@@ -16,10 +16,10 @@
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@@ -90,10 +90,10 @@
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+ "shell.execute_reply": "2024-11-29T15:43:41.853386Z"
}
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diff --git a/notebooks/workshop/exo_tomawac.ipynb b/notebooks/workshop/exo_tomawac.ipynb
index cc10fe5f44..7dbba161a6 100644
--- a/notebooks/workshop/exo_tomawac.ipynb
+++ b/notebooks/workshop/exo_tomawac.ipynb
@@ -20,10 +20,10 @@
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diff --git a/notebooks/workshop/exo_volume.ipynb b/notebooks/workshop/exo_volume.ipynb
index 16bc827faa..e82f6ea0ed 100644
--- a/notebooks/workshop/exo_volume.ipynb
+++ b/notebooks/workshop/exo_volume.ipynb
@@ -56,10 +56,10 @@
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diff --git a/notebooks/workshop/solutions/exo_fluxes.ipynb b/notebooks/workshop/solutions/exo_fluxes.ipynb
index 27a92176a4..7f2bd6498f 100644
--- a/notebooks/workshop/solutions/exo_fluxes.ipynb
+++ b/notebooks/workshop/solutions/exo_fluxes.ipynb
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@@ -120,10 +120,10 @@
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@@ -173,10 +173,10 @@
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@@ -222,10 +222,10 @@
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@@ -279,10 +279,10 @@
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@@ -291,13 +291,7 @@
"output_type": "stream",
"text": [
"Main inlet: 0.0699988095473791 (m3/s)\n",
- "Secondary inlet: 0.03469574798993031 (m3/s)\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "Secondary inlet: 0.03469574798993032 (m3/s)\n",
"Outlet: 0.10492863254979264 (m3/s)\n"
]
}
@@ -351,10 +345,10 @@
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@@ -448,10 +442,10 @@
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diff --git a/notebooks/workshop/solutions/exo_mascaret.ipynb b/notebooks/workshop/solutions/exo_mascaret.ipynb
index a5f509f30b..2302a589a5 100644
--- a/notebooks/workshop/solutions/exo_mascaret.ipynb
+++ b/notebooks/workshop/solutions/exo_mascaret.ipynb
@@ -35,10 +35,10 @@
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@@ -58,10 +58,10 @@
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@@ -70,7 +70,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "~> MascaretGeoFile: /home/d72483/telemac/examples/mascaret/24_Malpasset/geometrie\n",
+ "~> MascaretGeoFile: /home/d60881/telemac/examples/mascaret/24_Malpasset/geometrie\n",
" - Reach #1 (Bief_1) with 59 sections\n",
" 1) Section #1 (P1) at pk -4820.000000\n",
" 2) Section #2 (P2) at pk -4500.000000\n",
@@ -162,10 +162,10 @@
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"metadata": {
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- "iopub.status.idle": "2023-12-01T10:46:49.614590Z",
- "shell.execute_reply": "2023-12-01T10:46:49.612200Z"
+ "iopub.execute_input": "2024-11-29T15:43:48.762809Z",
+ "iopub.status.busy": "2024-11-29T15:43:48.762558Z",
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"scrolled": true
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@@ -174,110 +174,157 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n",
- "\n",
- "Loading Options and Configurations\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- " _ \n",
- " | | \n",
- " __ __ _ __ __ __ _ __ ___ __ _ ___ ___ __ _ _ __ ___ | |_ \n",
- " \\ \\ / /| '_ \\ \\ \\ / / | '_ ` _ \\ / _` |/ __| / __| / _` || '__| / _ \\| __|\n",
- " \\ V / | | | | \\ V / | | | | | || (_| |\\__ \\| (__ | (_| || | | __/| |_ \n",
- " \\_/ |_| |_| \\_/ |_| |_| |_| \\__,_||___/ \\___| \\__,_||_| \\___| \\__|\n",
- " ______ \n",
- " |______| \n",
- "\n",
- "\n",
- "Running your CAS file(s) for:\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- "\n",
- "\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- "S11.gfortran.dyn: \n",
- " \n",
- "\n",
- " +> Scibian 11 dynamic build using GFortran 10.2.1 and Open MPI.\n",
- "\n",
- " +> root: /home/d72483/telemac\n",
- " +> module: ad / api / artemis / bief\n",
- " damocles / gaia / gretel / hermes\n",
- " identify_liq_bnd / khione / mascaret / nestor\n",
- " parallel / partel / postel3d / special\n",
- " stbtel / telemac2d / telemac3d / tomawac\n",
- " waqtel\n",
- "\n",
- "\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- "\n",
- "... processing the steering file\n",
- "\n",
- "... checking parallelisation\n",
- "\n",
- "... handling temporary directories\n",
- "~+> Creating FichierCas.txt\n",
- " \n",
- "... checking the executable\n",
- "\n",
- "\n",
- "Running your simulation(s) :\n",
- "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
- "\n",
- "\n",
- "\n",
- "In /home/d72483/telemac/examples/mascaret/24_Malpasset:\n",
- "mpirun --use-hwthread-cpus -np 1 /home/d72483/telemac/builds/S11.gfortran.dyn/bin/mascaret\n",
- "\n",
- "\n",
- " Fichiercas : FichierCas.txt\n",
- "\n",
- " TELEMAC-MASCARET V8P4R0 == Copyright (C) 2000-2022 EDF-CEREMA ==\n",
- "\n",
- " Data File : mascaret_notebook.xcas\n",
- "\n",
- " Study name : Etude hydraulique1d\n",
- "\n",
- " Hydraulic statistics (prior solve phase)\n",
- " ------ Geometric parameters ------\n",
- " Number of reach(es) = 1\n",
- " Number of cross-sections = 59\n",
- " Number of open boundaries = 2\n",
- " Number of junction(s) = 0\n",
- " Number of inflow(s) = 0\n",
- " Number of lateral weir(s) = 0\n",
- " Number of storage area(s) = 0\n",
- " Number of link(s) = 0\n",
- " Number of dam(s)/weir(s) = 0\n",
- " ------ Numerical parameters ------\n",
- " Number of 1D nodes (mesh) = 774\n",
- " Computation Kernel = 3\n",
- " Initial time step = 1.0E+00\n",
- " Variable time step? = 1\n",
- " Courant number = 2.0E+00\n",
- " Implicit Scheme? = 1\n",
- " Non Hydrostatic? = 0\n",
- " Number of time steps = 5000\n",
- "\n",
- " OptionCourlis F\n",
- " Start the Simulation...\n",
- " Simulation ended successfully in 2.59424400 s\n",
- " TEMPS PASSE 2.60052204\n",
- " FIN CORRECTE DU CALCUL\n",
- "\n",
- "... merging separated result files\n",
- "\n",
- "... handling result files\n",
- "\n",
- "... deleting working dir\n",
- "\n",
- "\n",
- "\n",
- "My work is done\n",
- "\n",
- "\n"
+ "\r\n",
+ "\r\n",
+ "Loading Options and Configurations\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " _ \r\n",
+ " (_) \r\n",
+ " _ __ ___ __ _ _ _ __ \r\n",
+ " | '_ ` _ \\ / _` || || '_ \\ \r\n",
+ " | | | | | || (_| || || | | |\r\n",
+ " |_| |_| |_| \\__,_||_||_| |_|\r\n",
+ " \r\n",
+ " \r\n",
+ "\r\n",
+ "\r\n",
+ "Running your CAS file(s) for:\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n",
+ "\r\n",
+ "\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n",
+ "S11.gfortran.dyn: \r\n",
+ " \r\n",
+ "\r\n",
+ " +> Scibian 11 dynamic build using GFortran 10.2.1 and Open MPI.\r\n",
+ "\r\n",
+ " +> root: /home/d60881/telemac\r\n",
+ " +> module: ad / api / artemis / bief\r\n",
+ " damocles / gaia / gretel / hermes\r\n",
+ " identify_liq_bnd / khione / mascaret / nestor\r\n",
+ " parallel / partel / postel3d / special\r\n",
+ " stbtel / telemac2d / telemac3d / tomawac\r\n",
+ " waqtel\r\n",
+ "\r\n",
+ "\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n",
+ "\r\n",
+ "... processing the steering file\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\r\n",
+ "... checking parallelisation\r\n",
+ "\r\n",
+ "... handling temporary directories\r\n",
+ "~+> Creating FichierCas.txt\r\n",
+ "~+> Copying Abaques.txt\r\n",
+ "~+> Copying Controle.txt\r\n",
+ "~+> Copying dico_Courlis.txt\r\n",
+ "[ ] 0% | ---s\r",
+ " \r",
+ "[ ] 0% | ---s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 25% | 1s\r",
+ "[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ] 50% | 1s\r",
+ " \r",
+ "\r\n",
+ "... checking the executable\r\n",
+ "\r\n",
+ "\r\n",
+ "Running your simulation(s) :\r\n",
+ "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n",
+ "\r\n",
+ "\r\n",
+ "\r\n",
+ "In /home/d60881/telemac/examples/mascaret/24_Malpasset:\r\n",
+ "mpirun --use-hwthread-cpus -np 1 /home/d60881/telemac/builds/S11.gfortran.dyn/bin/mascaret\r\n",
+ "\r\n",
+ "\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "No protocol specified\r\n",
+ "No protocol specified\r\n",
+ " Fichiercas : FichierCas.txt\r\n",
+ "\r\n",
+ " TELEMAC-MASCARET V8P4R0 == Copyright (C) 2000-2022 EDF-CEREMA ==\r\n",
+ "\r\n",
+ " Data File : mascaret_notebook.xcas\r\n",
+ "\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Study name : Etude hydraulique1d\r\n",
+ "\r\n",
+ " Hydraulic statistics (prior solve phase)\r\n",
+ " ------ Geometric parameters ------\r\n",
+ " Number of reach(es) = 1\r\n",
+ " Number of cross-sections = 59\r\n",
+ " Number of open boundaries = 2\r\n",
+ " Number of junction(s) = 0\r\n",
+ " Number of inflow(s) = 0\r\n",
+ " Number of lateral weir(s) = 0\r\n",
+ " Number of storage area(s) = 0\r\n",
+ " Number of link(s) = 0\r\n",
+ " Number of dam(s)/weir(s) = 0\r\n",
+ " ------ Numerical parameters ------\r\n",
+ " Number of 1D nodes (mesh) = 774\r\n",
+ " Computation Kernel = 3\r\n",
+ " Initial time step = 1.0E+00\r\n",
+ " Variable time step? = 1\r\n",
+ " Courant number = 2.0E+00\r\n",
+ " Implicit Scheme? = 1\r\n",
+ " Non Hydrostatic? = 0\r\n",
+ " Number of time steps = 5000\r\n",
+ "\r\n",
+ " OptionCourlis F\r\n",
+ " Start the Simulation...\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Simulation ended successfully in 3.32776904 s\r\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " TEMPS PASSE 3.33677101\r\n",
+ " FIN CORRECTE DU CALCUL\r\n",
+ "\r\n",
+ "... merging separated result files\r\n",
+ "\r\n",
+ "... handling result files\r\n",
+ "\r\n",
+ "... deleting working dir\r\n",
+ "\r\n",
+ "\r\n",
+ "\r\n",
+ "My work is done\r\n",
+ "\r\n",
+ "\r\n"
]
}
],
@@ -310,10 +357,10 @@
"execution_count": 4,
"metadata": {
"execution": {
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- "shell.execute_reply": "2023-12-01T10:46:49.627534Z"
+ "iopub.execute_input": "2024-11-29T15:43:53.235402Z",
+ "iopub.status.busy": "2024-11-29T15:43:53.235136Z",
+ "iopub.status.idle": "2024-11-29T15:43:53.238797Z",
+ "shell.execute_reply": "2024-11-29T15:43:53.238176Z"
}
},
"outputs": [],
@@ -332,10 +379,10 @@
"execution_count": 5,
"metadata": {
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- "shell.execute_reply": "2023-12-01T10:46:49.805416Z"
+ "iopub.execute_input": "2024-11-29T15:43:53.241648Z",
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}
},
"outputs": [
@@ -343,20 +390,20 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "~> MascaretFile: /home/d72483/telemac/examples/mascaret/24_Malpasset/mascaret_notebook.opt (mode=r)\n",
+ "~> MascaretFile: /home/d60881/telemac/examples/mascaret/24_Malpasset/mascaret_notebook.opt (mode=r)\n",
" - Reach #1 (Reach_1) with 774 sections\n",
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- " 1) Section #2 (Profil_2) at pk -4793.333333\n",
- " 2) Section #3 (Profil_3) at pk -4766.666667\n",
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- " 4) Section #5 (Profil_5) at pk -4713.333333\n",
- " 5) Section #6 (Profil_6) at pk -4686.666667\n",
+ " 4) Section #5 (Profil_5) at pk -4713.330000\n",
+ " 5) Section #6 (Profil_6) at pk -4686.670000\n",
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- " 7) Section #8 (Profil_8) at pk -4633.333333\n",
- " 8) Section #9 (Profil_9) at pk -4606.666667\n",
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- " 10) Section #11 (Profil_11) at pk -4553.333333\n",
- " 11) Section #12 (Profil_12) at pk -4526.666667\n",
+ " 10) Section #11 (Profil_11) at pk -4553.330000\n",
+ " 11) Section #12 (Profil_12) at pk -4526.670000\n",
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@@ -448,14 +495,14 @@
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@@ -535,236 +582,236 @@
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- " 225) Section #226 (Profil_226) at pk 963.328571\n",
- " 226) Section #227 (Profil_227) at pk 991.335714\n",
- " 227) Section #228 (Profil_228) at pk 1019.342857\n",
+ " 222) Section #223 (Profil_223) at pk 879.310000\n",
+ " 223) Section #224 (Profil_224) at pk 907.310000\n",
+ " 224) Section #225 (Profil_225) at pk 935.320000\n",
+ " 225) Section #226 (Profil_226) at pk 963.330000\n",
+ " 226) Section #227 (Profil_227) at pk 991.340000\n",
+ " 227) Section #228 (Profil_228) at pk 1019.340000\n",
" 228) Section #229 (Profil_229) at pk 1047.350000\n",
- " 229) Section #230 (Profil_230) at pk 1073.857143\n",
- " 230) Section #231 (Profil_231) at pk 1100.364286\n",
- " 231) Section #232 (Profil_232) at pk 1126.871429\n",
- " 232) Section #233 (Profil_233) at pk 1153.378571\n",
- " 233) Section #234 (Profil_234) at pk 1179.885714\n",
- " 234) Section #235 (Profil_235) at pk 1206.392857\n",
+ " 229) Section #230 (Profil_230) at pk 1073.860000\n",
+ " 230) Section #231 (Profil_231) at pk 1100.360000\n",
+ " 231) Section #232 (Profil_232) at pk 1126.870000\n",
+ " 232) Section #233 (Profil_233) at pk 1153.380000\n",
+ " 233) Section #234 (Profil_234) at pk 1179.890000\n",
+ " 234) Section #235 (Profil_235) at pk 1206.390000\n",
" 235) Section #236 (Profil_236) at pk 1232.900000\n",
- " 236) Section #237 (Profil_237) at pk 1258.866667\n",
- " 237) Section #238 (Profil_238) at pk 1284.833333\n",
+ " 236) Section #237 (Profil_237) at pk 1258.870000\n",
+ " 237) Section #238 (Profil_238) at pk 1284.830000\n",
" 238) Section #239 (Profil_239) at pk 1310.800000\n",
- " 239) Section #240 (Profil_240) at pk 1336.766667\n",
- " 240) Section #241 (Profil_241) at pk 1362.733333\n",
+ " 239) Section #240 (Profil_240) at pk 1336.770000\n",
+ " 240) Section #241 (Profil_241) at pk 1362.730000\n",
" 241) Section #242 (Profil_242) at pk 1388.700000\n",
- " 242) Section #243 (Profil_243) at pk 1414.666667\n",
- " 243) Section #244 (Profil_244) at pk 1440.633333\n",
+ " 242) Section #243 (Profil_243) at pk 1414.670000\n",
+ " 243) Section #244 (Profil_244) at pk 1440.630000\n",
" 244) Section #245 (Profil_245) at pk 1466.600000\n",
- " 245) Section #246 (Profil_246) at pk 1492.566667\n",
- " 246) Section #247 (Profil_247) at pk 1518.533333\n",
+ " 245) Section #246 (Profil_246) at pk 1492.570000\n",
+ " 246) Section #247 (Profil_247) at pk 1518.530000\n",
" 247) Section #248 (Profil_248) at pk 1544.500000\n",
- " 248) Section #249 (Profil_249) at pk 1570.542105\n",
- " 249) Section #250 (Profil_250) at pk 1596.584211\n",
- " 250) Section #251 (Profil_251) at pk 1622.626316\n",
- " 251) Section #252 (Profil_252) at pk 1648.668421\n",
- " 252) Section #253 (Profil_253) at pk 1674.710526\n",
- " 253) Section #254 (Profil_254) at pk 1700.752632\n",
- " 254) Section #255 (Profil_255) at pk 1726.794737\n",
- " 255) Section #256 (Profil_256) at pk 1752.836842\n",
- " 256) Section #257 (Profil_257) at pk 1778.878947\n",
- " 257) Section #258 (Profil_258) at pk 1804.921053\n",
- " 258) Section #259 (Profil_259) at pk 1830.963158\n",
- " 259) Section #260 (Profil_260) at pk 1857.005263\n",
- " 260) Section #261 (Profil_261) at pk 1883.047368\n",
- " 261) Section #262 (Profil_262) at pk 1909.089474\n",
- " 262) Section #263 (Profil_263) at pk 1935.131579\n",
- " 263) Section #264 (Profil_264) at pk 1961.173684\n",
- " 264) Section #265 (Profil_265) at pk 1987.215789\n",
- " 265) Section #266 (Profil_266) at pk 2013.257895\n",
+ " 248) Section #249 (Profil_249) at pk 1570.540000\n",
+ " 249) Section #250 (Profil_250) at pk 1596.580000\n",
+ " 250) Section #251 (Profil_251) at pk 1622.630000\n",
+ " 251) Section #252 (Profil_252) at pk 1648.670000\n",
+ " 252) Section #253 (Profil_253) at pk 1674.710000\n",
+ " 253) Section #254 (Profil_254) at pk 1700.750000\n",
+ " 254) Section #255 (Profil_255) at pk 1726.790000\n",
+ " 255) Section #256 (Profil_256) at pk 1752.840000\n",
+ " 256) Section #257 (Profil_257) at pk 1778.880000\n",
+ " 257) Section #258 (Profil_258) at pk 1804.920000\n",
+ " 258) Section #259 (Profil_259) at pk 1830.960000\n",
+ " 259) Section #260 (Profil_260) at pk 1857.010000\n",
+ " 260) Section #261 (Profil_261) at pk 1883.050000\n",
+ " 261) Section #262 (Profil_262) at pk 1909.090000\n",
+ " 262) Section #263 (Profil_263) at pk 1935.130000\n",
+ " 263) Section #264 (Profil_264) at pk 1961.170000\n",
+ " 264) Section #265 (Profil_265) at pk 1987.220000\n",
+ " 265) Section #266 (Profil_266) at pk 2013.260000\n",
" 266) Section #267 (Profil_267) at pk 2039.300000\n",
" 267) Section #268 (Profil_268) at pk 2068.840000\n",
" 268) Section #269 (Profil_269) at pk 2098.380000\n",
" 269) Section #270 (Profil_270) at pk 2127.920000\n",
" 270) Section #271 (Profil_271) at pk 2157.460000\n",
" 271) Section #272 (Profil_272) at pk 2187.000000\n",
- " 272) Section #273 (Profil_273) at pk 2212.730769\n",
- " 273) Section #274 (Profil_274) at pk 2238.461538\n",
- " 274) Section #275 (Profil_275) at pk 2264.192308\n",
- " 275) Section #276 (Profil_276) at pk 2289.923077\n",
- " 276) Section #277 (Profil_277) at pk 2315.653846\n",
- " 277) Section #278 (Profil_278) at pk 2341.384615\n",
- " 278) Section #279 (Profil_279) at pk 2367.115385\n",
- " 279) Section #280 (Profil_280) at pk 2392.846154\n",
- " 280) Section #281 (Profil_281) at pk 2418.576923\n",
- " 281) Section #282 (Profil_282) at pk 2444.307692\n",
- " 282) Section #283 (Profil_283) at pk 2470.038462\n",
- " 283) Section #284 (Profil_284) at pk 2495.769231\n",
+ " 272) Section #273 (Profil_273) at pk 2212.730000\n",
+ " 273) Section #274 (Profil_274) at pk 2238.460000\n",
+ " 274) Section #275 (Profil_275) at pk 2264.190000\n",
+ " 275) Section #276 (Profil_276) at pk 2289.920000\n",
+ " 276) Section #277 (Profil_277) at pk 2315.650000\n",
+ " 277) Section #278 (Profil_278) at pk 2341.380000\n",
+ " 278) Section #279 (Profil_279) at pk 2367.120000\n",
+ " 279) Section #280 (Profil_280) at pk 2392.850000\n",
+ " 280) Section #281 (Profil_281) at pk 2418.580000\n",
+ " 281) Section #282 (Profil_282) at pk 2444.310000\n",
+ " 282) Section #283 (Profil_283) at pk 2470.040000\n",
+ " 283) Section #284 (Profil_284) at pk 2495.770000\n",
" 284) Section #285 (Profil_285) at pk 2521.500000\n",
- " 285) Section #286 (Profil_286) at pk 2546.954545\n",
- " 286) Section #287 (Profil_287) at pk 2572.409091\n",
- " 287) Section #288 (Profil_288) at pk 2597.863636\n",
- " 288) Section #289 (Profil_289) at pk 2623.318182\n",
- " 289) Section #290 (Profil_290) at pk 2648.772727\n",
- " 290) Section #291 (Profil_291) at pk 2674.227273\n",
- " 291) Section #292 (Profil_292) at pk 2699.681818\n",
- " 292) Section #293 (Profil_293) at pk 2725.136364\n",
- " 293) Section #294 (Profil_294) at pk 2750.590909\n",
- " 294) Section #295 (Profil_295) at pk 2776.045455\n",
+ " 285) Section #286 (Profil_286) at pk 2546.950000\n",
+ " 286) Section #287 (Profil_287) at pk 2572.410000\n",
+ " 287) Section #288 (Profil_288) at pk 2597.860000\n",
+ " 288) Section #289 (Profil_289) at pk 2623.320000\n",
+ " 289) Section #290 (Profil_290) at pk 2648.770000\n",
+ " 290) Section #291 (Profil_291) at pk 2674.230000\n",
+ " 291) Section #292 (Profil_292) at pk 2699.680000\n",
+ " 292) Section #293 (Profil_293) at pk 2725.140000\n",
+ " 293) Section #294 (Profil_294) at pk 2750.590000\n",
+ " 294) Section #295 (Profil_295) at pk 2776.050000\n",
" 295) Section #296 (Profil_296) at pk 2801.500000\n",
- " 296) Section #297 (Profil_297) at pk 2827.537500\n",
- " 297) Section #298 (Profil_298) at pk 2853.575000\n",
- " 298) Section #299 (Profil_299) at pk 2879.612500\n",
+ " 296) Section #297 (Profil_297) at pk 2827.540000\n",
+ " 297) Section #298 (Profil_298) at pk 2853.570000\n",
+ " 298) Section #299 (Profil_299) at pk 2879.610000\n",
" 299) Section #300 (Profil_300) at pk 2905.650000\n",
- " 300) Section #301 (Profil_301) at pk 2931.687500\n",
- " 301) Section #302 (Profil_302) at pk 2957.725000\n",
- " 302) Section #303 (Profil_303) at pk 2983.762500\n",
+ " 300) Section #301 (Profil_301) at pk 2931.690000\n",
+ " 301) Section #302 (Profil_302) at pk 2957.720000\n",
+ " 302) Section #303 (Profil_303) at pk 2983.760000\n",
" 303) Section #304 (Profil_304) at pk 3009.800000\n",
- " 304) Section #305 (Profil_305) at pk 3035.908333\n",
- " 305) Section #306 (Profil_306) at pk 3062.016667\n",
- " 306) Section #307 (Profil_307) at pk 3088.125000\n",
- " 307) Section #308 (Profil_308) at pk 3114.233333\n",
- " 308) Section #309 (Profil_309) at pk 3140.341667\n",
+ " 304) Section #305 (Profil_305) at pk 3035.910000\n",
+ " 305) Section #306 (Profil_306) at pk 3062.020000\n",
+ " 306) Section #307 (Profil_307) at pk 3088.130000\n",
+ " 307) Section #308 (Profil_308) at pk 3114.230000\n",
+ " 308) Section #309 (Profil_309) at pk 3140.340000\n",
" 309) Section #310 (Profil_310) at pk 3166.450000\n",
- " 310) Section #311 (Profil_311) at pk 3192.558333\n",
- " 311) Section #312 (Profil_312) at pk 3218.666667\n",
- " 312) Section #313 (Profil_313) at pk 3244.775000\n",
- " 313) Section #314 (Profil_314) at pk 3270.883333\n",
- " 314) Section #315 (Profil_315) at pk 3296.991667\n",
+ " 310) Section #311 (Profil_311) at pk 3192.560000\n",
+ " 311) Section #312 (Profil_312) at pk 3218.670000\n",
+ " 312) Section #313 (Profil_313) at pk 3244.780000\n",
+ " 313) Section #314 (Profil_314) at pk 3270.880000\n",
+ " 314) Section #315 (Profil_315) at pk 3296.990000\n",
" 315) Section #316 (Profil_316) at pk 3323.100000\n",
- " 316) Section #317 (Profil_317) at pk 3349.975000\n",
+ " 316) Section #317 (Profil_317) at pk 3349.980000\n",
" 317) Section #318 (Profil_318) at pk 3376.850000\n",
- " 318) Section #319 (Profil_319) at pk 3403.725000\n",
+ " 318) Section #319 (Profil_319) at pk 3403.730000\n",
" 319) Section #320 (Profil_320) at pk 3430.600000\n",
- " 320) Section #321 (Profil_321) at pk 3457.475000\n",
+ " 320) Section #321 (Profil_321) at pk 3457.480000\n",
" 321) Section #322 (Profil_322) at pk 3484.350000\n",
- " 322) Section #323 (Profil_323) at pk 3511.225000\n",
+ " 322) Section #323 (Profil_323) at pk 3511.230000\n",
" 323) Section #324 (Profil_324) at pk 3538.100000\n",
" 324) Section #325 (Profil_325) at pk 3558.800000\n",
- " 325) Section #326 (Profil_326) at pk 3583.976667\n",
- " 326) Section #327 (Profil_327) at pk 3609.153333\n",
+ " 325) Section #326 (Profil_326) at pk 3583.980000\n",
+ " 326) Section #327 (Profil_327) at pk 3609.150000\n",
" 327) Section #328 (Profil_328) at pk 3634.330000\n",
- " 328) Section #329 (Profil_329) at pk 3659.506667\n",
- " 329) Section #330 (Profil_330) at pk 3684.683333\n",
+ " 328) Section #329 (Profil_329) at pk 3659.510000\n",
+ " 329) Section #330 (Profil_330) at pk 3684.680000\n",
" 330) Section #331 (Profil_331) at pk 3709.860000\n",
- " 331) Section #332 (Profil_332) at pk 3735.036667\n",
- " 332) Section #333 (Profil_333) at pk 3760.213333\n",
+ " 331) Section #332 (Profil_332) at pk 3735.040000\n",
+ " 332) Section #333 (Profil_333) at pk 3760.210000\n",
" 333) Section #334 (Profil_334) at pk 3785.390000\n",
- " 334) Section #335 (Profil_335) at pk 3810.566667\n",
- " 335) Section #336 (Profil_336) at pk 3835.743333\n",
+ " 334) Section #335 (Profil_335) at pk 3810.570000\n",
+ " 335) Section #336 (Profil_336) at pk 3835.740000\n",
" 336) Section #337 (Profil_337) at pk 3860.920000\n",
- " 337) Section #338 (Profil_338) at pk 3886.096667\n",
- " 338) Section #339 (Profil_339) at pk 3911.273333\n",
+ " 337) Section #338 (Profil_338) at pk 3886.100000\n",
+ " 338) Section #339 (Profil_339) at pk 3911.270000\n",
" 339) Section #340 (Profil_340) at pk 3936.450000\n",
- " 340) Section #341 (Profil_341) at pk 3961.626667\n",
- " 341) Section #342 (Profil_342) at pk 3986.803333\n",
+ " 340) Section #341 (Profil_341) at pk 3961.630000\n",
+ " 341) Section #342 (Profil_342) at pk 3986.800000\n",
" 342) Section #343 (Profil_343) at pk 4011.980000\n",
- " 343) Section #344 (Profil_344) at pk 4037.156667\n",
- " 344) Section #345 (Profil_345) at pk 4062.333333\n",
+ " 343) Section #344 (Profil_344) at pk 4037.160000\n",
+ " 344) Section #345 (Profil_345) at pk 4062.330000\n",
" 345) Section #346 (Profil_346) at pk 4087.510000\n",
- " 346) Section #347 (Profil_347) at pk 4112.686667\n",
- " 347) Section #348 (Profil_348) at pk 4137.863333\n",
+ " 346) Section #347 (Profil_347) at pk 4112.690000\n",
+ " 347) Section #348 (Profil_348) at pk 4137.860000\n",
" 348) Section #349 (Profil_349) at pk 4163.040000\n",
- " 349) Section #350 (Profil_350) at pk 4188.216667\n",
- " 350) Section #351 (Profil_351) at pk 4213.393333\n",
+ " 349) Section #350 (Profil_350) at pk 4188.220000\n",
+ " 350) Section #351 (Profil_351) at pk 4213.390000\n",
" 351) Section #352 (Profil_352) at pk 4238.570000\n",
- " 352) Section #353 (Profil_353) at pk 4263.746667\n",
- " 353) Section #354 (Profil_354) at pk 4288.923333\n",
+ " 352) Section #353 (Profil_353) at pk 4263.750000\n",
+ " 353) Section #354 (Profil_354) at pk 4288.920000\n",
" 354) Section #355 (Profil_355) at pk 4314.100000\n",
- " 355) Section #356 (Profil_356) at pk 4341.422222\n",
- " 356) Section #357 (Profil_357) at pk 4368.744444\n",
- " 357) Section #358 (Profil_358) at pk 4396.066667\n",
- " 358) Section #359 (Profil_359) at pk 4423.388889\n",
- " 359) Section #360 (Profil_360) at pk 4450.711111\n",
- " 360) Section #361 (Profil_361) at pk 4478.033333\n",
- " 361) Section #362 (Profil_362) at pk 4505.355556\n",
- " 362) Section #363 (Profil_363) at pk 4532.677778\n",
+ " 355) Section #356 (Profil_356) at pk 4341.420000\n",
+ " 356) Section #357 (Profil_357) at pk 4368.740000\n",
+ " 357) Section #358 (Profil_358) at pk 4396.070000\n",
+ " 358) Section #359 (Profil_359) at pk 4423.390000\n",
+ " 359) Section #360 (Profil_360) at pk 4450.710000\n",
+ " 360) Section #361 (Profil_361) at pk 4478.030000\n",
+ " 361) Section #362 (Profil_362) at pk 4505.360000\n",
+ " 362) Section #363 (Profil_363) at pk 4532.680000\n",
" 363) Section #364 (Profil_364) at pk 4560.000000\n",
- " 364) Section #365 (Profil_365) at pk 4586.236842\n",
- " 365) Section #366 (Profil_366) at pk 4612.473684\n",
- " 366) Section #367 (Profil_367) at pk 4638.710526\n",
- " 367) Section #368 (Profil_368) at pk 4664.947368\n",
- " 368) Section #369 (Profil_369) at pk 4691.184211\n",
- " 369) Section #370 (Profil_370) at pk 4717.421053\n",
- " 370) Section #371 (Profil_371) at pk 4743.657895\n",
- " 371) Section #372 (Profil_372) at pk 4769.894737\n",
- " 372) Section #373 (Profil_373) at pk 4796.131579\n",
- " 373) Section #374 (Profil_374) at pk 4822.368421\n",
- " 374) Section #375 (Profil_375) at pk 4848.605263\n",
- " 375) Section #376 (Profil_376) at pk 4874.842105\n",
- " 376) Section #377 (Profil_377) at pk 4901.078947\n",
- " 377) Section #378 (Profil_378) at pk 4927.315789\n",
- " 378) Section #379 (Profil_379) at pk 4953.552632\n",
- " 379) Section #380 (Profil_380) at pk 4979.789474\n",
- " 380) Section #381 (Profil_381) at pk 5006.026316\n",
- " 381) Section #382 (Profil_382) at pk 5032.263158\n",
+ " 364) Section #365 (Profil_365) at pk 4586.240000\n",
+ " 365) Section #366 (Profil_366) at pk 4612.470000\n",
+ " 366) Section #367 (Profil_367) at pk 4638.710000\n",
+ " 367) Section #368 (Profil_368) at pk 4664.950000\n",
+ " 368) Section #369 (Profil_369) at pk 4691.180000\n",
+ " 369) Section #370 (Profil_370) at pk 4717.420000\n",
+ " 370) Section #371 (Profil_371) at pk 4743.660000\n",
+ " 371) Section #372 (Profil_372) at pk 4769.890000\n",
+ " 372) Section #373 (Profil_373) at pk 4796.130000\n",
+ " 373) Section #374 (Profil_374) at pk 4822.370000\n",
+ " 374) Section #375 (Profil_375) at pk 4848.610000\n",
+ " 375) Section #376 (Profil_376) at pk 4874.840000\n",
+ " 376) Section #377 (Profil_377) at pk 4901.080000\n",
+ " 377) Section #378 (Profil_378) at pk 4927.320000\n",
+ " 378) Section #379 (Profil_379) at pk 4953.550000\n",
+ " 379) Section #380 (Profil_380) at pk 4979.790000\n",
+ " 380) Section #381 (Profil_381) at pk 5006.030000\n",
+ " 381) Section #382 (Profil_382) at pk 5032.260000\n",
" 382) Section #383 (Profil_383) at pk 5058.500000\n",
- " 383) Section #384 (Profil_384) at pk 5086.028571\n",
- " 384) Section #385 (Profil_385) at pk 5113.557143\n",
- " 385) Section #386 (Profil_386) at pk 5141.085714\n",
- " 386) Section #387 (Profil_387) at pk 5168.614286\n",
- " 387) Section #388 (Profil_388) at pk 5196.142857\n",
- " 388) Section #389 (Profil_389) at pk 5223.671429\n",
+ " 383) Section #384 (Profil_384) at pk 5086.030000\n",
+ " 384) Section #385 (Profil_385) at pk 5113.560000\n",
+ " 385) Section #386 (Profil_386) at pk 5141.090000\n",
+ " 386) Section #387 (Profil_387) at pk 5168.610000\n",
+ " 387) Section #388 (Profil_388) at pk 5196.140000\n",
+ " 388) Section #389 (Profil_389) at pk 5223.670000\n",
" 389) Section #390 (Profil_390) at pk 5251.200000\n",
- " 390) Section #391 (Profil_391) at pk 5277.183333\n",
- " 391) Section #392 (Profil_392) at pk 5303.166667\n",
+ " 390) Section #391 (Profil_391) at pk 5277.180000\n",
+ " 391) Section #392 (Profil_392) at pk 5303.170000\n",
" 392) Section #393 (Profil_393) at pk 5329.150000\n",
- " 393) Section #394 (Profil_394) at pk 5355.133333\n",
- " 394) Section #395 (Profil_395) at pk 5381.116667\n",
+ " 393) Section #394 (Profil_394) at pk 5355.130000\n",
+ " 394) Section #395 (Profil_395) at pk 5381.120000\n",
" 395) Section #396 (Profil_396) at pk 5407.100000\n",
- " 396) Section #397 (Profil_397) at pk 5433.083333\n",
- " 397) Section #398 (Profil_398) at pk 5459.066667\n",
+ " 396) Section #397 (Profil_397) at pk 5433.080000\n",
+ " 397) Section #398 (Profil_398) at pk 5459.070000\n",
" 398) Section #399 (Profil_399) at pk 5485.050000\n",
- " 399) Section #400 (Profil_400) at pk 5511.033333\n",
- " 400) Section #401 (Profil_401) at pk 5537.016667\n",
+ " 399) Section #400 (Profil_400) at pk 5511.030000\n",
+ " 400) Section #401 (Profil_401) at pk 5537.020000\n",
" 401) Section #402 (Profil_402) at pk 5563.000000\n",
- " 402) Section #403 (Profil_403) at pk 5591.466667\n",
- " 403) Section #404 (Profil_404) at pk 5619.933333\n",
+ " 402) Section #403 (Profil_403) at pk 5591.470000\n",
+ " 403) Section #404 (Profil_404) at pk 5619.930000\n",
" 404) Section #405 (Profil_405) at pk 5648.400000\n",
- " 405) Section #406 (Profil_406) at pk 5676.866667\n",
- " 406) Section #407 (Profil_407) at pk 5705.333333\n",
+ " 405) Section #406 (Profil_406) at pk 5676.870000\n",
+ " 406) Section #407 (Profil_407) at pk 5705.330000\n",
" 407) Section #408 (Profil_408) at pk 5733.800000\n",
- " 408) Section #409 (Profil_409) at pk 5759.161538\n",
- " 409) Section #410 (Profil_410) at pk 5784.523077\n",
- " 410) Section #411 (Profil_411) at pk 5809.884615\n",
- " 411) Section #412 (Profil_412) at pk 5835.246154\n",
- " 412) Section #413 (Profil_413) at pk 5860.607692\n",
- " 413) Section #414 (Profil_414) at pk 5885.969231\n",
- " 414) Section #415 (Profil_415) at pk 5911.330769\n",
- " 415) Section #416 (Profil_416) at pk 5936.692308\n",
- " 416) Section #417 (Profil_417) at pk 5962.053846\n",
- " 417) Section #418 (Profil_418) at pk 5987.415385\n",
- " 418) Section #419 (Profil_419) at pk 6012.776923\n",
- " 419) Section #420 (Profil_420) at pk 6038.138462\n",
+ " 408) Section #409 (Profil_409) at pk 5759.160000\n",
+ " 409) Section #410 (Profil_410) at pk 5784.520000\n",
+ " 410) Section #411 (Profil_411) at pk 5809.880000\n",
+ " 411) Section #412 (Profil_412) at pk 5835.250000\n",
+ " 412) Section #413 (Profil_413) at pk 5860.610000\n",
+ " 413) Section #414 (Profil_414) at pk 5885.970000\n",
+ " 414) Section #415 (Profil_415) at pk 5911.330000\n",
+ " 415) Section #416 (Profil_416) at pk 5936.690000\n",
+ " 416) Section #417 (Profil_417) at pk 5962.050000\n",
+ " 417) Section #418 (Profil_418) at pk 5987.420000\n",
+ " 418) Section #419 (Profil_419) at pk 6012.780000\n",
+ " 419) Section #420 (Profil_420) at pk 6038.140000\n",
" 420) Section #421 (Profil_421) at pk 6063.500000\n",
" 421) Section #422 (Profil_422) at pk 6088.690000\n",
" 422) Section #423 (Profil_423) at pk 6113.880000\n",
@@ -786,71 +833,71 @@
" 438) Section #439 (Profil_439) at pk 6516.920000\n",
" 439) Section #440 (Profil_440) at pk 6542.110000\n",
" 440) Section #441 (Profil_441) at pk 6567.300000\n",
- " 441) Section #442 (Profil_442) at pk 6593.089474\n",
- " 442) Section #443 (Profil_443) at pk 6618.878947\n",
- " 443) Section #444 (Profil_444) at pk 6644.668421\n",
- " 444) Section #445 (Profil_445) at pk 6670.457895\n",
- " 445) Section #446 (Profil_446) at pk 6696.247368\n",
- " 446) Section #447 (Profil_447) at pk 6722.036842\n",
- " 447) Section #448 (Profil_448) at pk 6747.826316\n",
- " 448) Section #449 (Profil_449) at pk 6773.615789\n",
- " 449) Section #450 (Profil_450) at pk 6799.405263\n",
- " 450) Section #451 (Profil_451) at pk 6825.194737\n",
- " 451) Section #452 (Profil_452) at pk 6850.984211\n",
- " 452) Section #453 (Profil_453) at pk 6876.773684\n",
- " 453) Section #454 (Profil_454) at pk 6902.563158\n",
- " 454) Section #455 (Profil_455) at pk 6928.352632\n",
- " 455) Section #456 (Profil_456) at pk 6954.142105\n",
- " 456) Section #457 (Profil_457) at pk 6979.931579\n",
- " 457) Section #458 (Profil_458) at pk 7005.721053\n",
- " 458) Section #459 (Profil_459) at pk 7031.510526\n",
+ " 441) Section #442 (Profil_442) at pk 6593.090000\n",
+ " 442) Section #443 (Profil_443) at pk 6618.880000\n",
+ " 443) Section #444 (Profil_444) at pk 6644.670000\n",
+ " 444) Section #445 (Profil_445) at pk 6670.460000\n",
+ " 445) Section #446 (Profil_446) at pk 6696.250000\n",
+ " 446) Section #447 (Profil_447) at pk 6722.040000\n",
+ " 447) Section #448 (Profil_448) at pk 6747.830000\n",
+ " 448) Section #449 (Profil_449) at pk 6773.620000\n",
+ " 449) Section #450 (Profil_450) at pk 6799.410000\n",
+ " 450) Section #451 (Profil_451) at pk 6825.190000\n",
+ " 451) Section #452 (Profil_452) at pk 6850.980000\n",
+ " 452) Section #453 (Profil_453) at pk 6876.770000\n",
+ " 453) Section #454 (Profil_454) at pk 6902.560000\n",
+ " 454) Section #455 (Profil_455) at pk 6928.350000\n",
+ " 455) Section #456 (Profil_456) at pk 6954.140000\n",
+ " 456) Section #457 (Profil_457) at pk 6979.930000\n",
+ " 457) Section #458 (Profil_458) at pk 7005.720000\n",
+ " 458) Section #459 (Profil_459) at pk 7031.510000\n",
" 459) Section #460 (Profil_460) at pk 7057.300000\n",
- " 460) Section #461 (Profil_461) at pk 7082.675000\n",
+ " 460) Section #461 (Profil_461) at pk 7082.670000\n",
" 461) Section #462 (Profil_462) at pk 7108.050000\n",
- " 462) Section #463 (Profil_463) at pk 7133.425000\n",
+ " 462) Section #463 (Profil_463) at pk 7133.420000\n",
" 463) Section #464 (Profil_464) at pk 7158.800000\n",
- " 464) Section #465 (Profil_465) at pk 7184.175000\n",
+ " 464) Section #465 (Profil_465) at pk 7184.170000\n",
" 465) Section #466 (Profil_466) at pk 7209.550000\n",
- " 466) Section #467 (Profil_467) at pk 7234.925000\n",
+ " 466) Section #467 (Profil_467) at pk 7234.920000\n",
" 467) Section #468 (Profil_468) at pk 7260.300000\n",
- " 468) Section #469 (Profil_469) at pk 7285.675000\n",
+ " 468) Section #469 (Profil_469) at pk 7285.670000\n",
" 469) Section #470 (Profil_470) at pk 7311.050000\n",
- " 470) Section #471 (Profil_471) at pk 7336.425000\n",
+ " 470) Section #471 (Profil_471) at pk 7336.420000\n",
" 471) Section #472 (Profil_472) at pk 7361.800000\n",
- " 472) Section #473 (Profil_473) at pk 7387.175000\n",
+ " 472) Section #473 (Profil_473) at pk 7387.170000\n",
" 473) Section #474 (Profil_474) at pk 7412.550000\n",
- " 474) Section #475 (Profil_475) at pk 7437.925000\n",
+ " 474) Section #475 (Profil_475) at pk 7437.920000\n",
" 475) Section #476 (Profil_476) at pk 7463.300000\n",
- " 476) Section #477 (Profil_477) at pk 7488.675000\n",
+ " 476) Section #477 (Profil_477) at pk 7488.670000\n",
" 477) Section #478 (Profil_478) at pk 7514.050000\n",
- " 478) Section #479 (Profil_479) at pk 7539.425000\n",
+ " 478) Section #479 (Profil_479) at pk 7539.420000\n",
" 479) Section #480 (Profil_480) at pk 7564.800000\n",
- " 480) Section #481 (Profil_481) at pk 7590.794737\n",
- " 481) Section #482 (Profil_482) at pk 7616.789474\n",
- " 482) Section #483 (Profil_483) at pk 7642.784211\n",
- " 483) Section #484 (Profil_484) at pk 7668.778947\n",
- " 484) Section #485 (Profil_485) at pk 7694.773684\n",
- " 485) Section #486 (Profil_486) at pk 7720.768421\n",
- " 486) Section #487 (Profil_487) at pk 7746.763158\n",
- " 487) Section #488 (Profil_488) at pk 7772.757895\n",
- " 488) Section #489 (Profil_489) at pk 7798.752632\n",
- " 489) Section #490 (Profil_490) at pk 7824.747368\n",
- " 490) Section #491 (Profil_491) at pk 7850.742105\n",
- " 491) Section #492 (Profil_492) at pk 7876.736842\n",
- " 492) Section #493 (Profil_493) at pk 7902.731579\n",
- " 493) Section #494 (Profil_494) at pk 7928.726316\n",
- " 494) Section #495 (Profil_495) at pk 7954.721053\n",
- " 495) Section #496 (Profil_496) at pk 7980.715789\n",
- " 496) Section #497 (Profil_497) at pk 8006.710526\n",
- " 497) Section #498 (Profil_498) at pk 8032.705263\n",
+ " 480) Section #481 (Profil_481) at pk 7590.790000\n",
+ " 481) Section #482 (Profil_482) at pk 7616.790000\n",
+ " 482) Section #483 (Profil_483) at pk 7642.780000\n",
+ " 483) Section #484 (Profil_484) at pk 7668.780000\n",
+ " 484) Section #485 (Profil_485) at pk 7694.770000\n",
+ " 485) Section #486 (Profil_486) at pk 7720.770000\n",
+ " 486) Section #487 (Profil_487) at pk 7746.760000\n",
+ " 487) Section #488 (Profil_488) at pk 7772.760000\n",
+ " 488) Section #489 (Profil_489) at pk 7798.750000\n",
+ " 489) Section #490 (Profil_490) at pk 7824.750000\n",
+ " 490) Section #491 (Profil_491) at pk 7850.740000\n",
+ " 491) Section #492 (Profil_492) at pk 7876.740000\n",
+ " 492) Section #493 (Profil_493) at pk 7902.730000\n",
+ " 493) Section #494 (Profil_494) at pk 7928.730000\n",
+ " 494) Section #495 (Profil_495) at pk 7954.720000\n",
+ " 495) Section #496 (Profil_496) at pk 7980.720000\n",
+ " 496) Section #497 (Profil_497) at pk 8006.710000\n",
+ " 497) Section #498 (Profil_498) at pk 8032.710000\n",
" 498) Section #499 (Profil_499) at pk 8058.700000\n",
- " 499) Section #500 (Profil_500) at pk 8085.225000\n",
+ " 499) Section #500 (Profil_500) at pk 8085.230000\n",
" 500) Section #501 (Profil_501) at pk 8111.750000\n",
- " 501) Section #502 (Profil_502) at pk 8138.275000\n",
+ " 501) Section #502 (Profil_502) at pk 8138.270000\n",
" 502) Section #503 (Profil_503) at pk 8164.800000\n",
- " 503) Section #504 (Profil_504) at pk 8191.325000\n",
+ " 503) Section #504 (Profil_504) at pk 8191.320000\n",
" 504) Section #505 (Profil_505) at pk 8217.850000\n",
- " 505) Section #506 (Profil_506) at pk 8244.375000\n",
+ " 505) Section #506 (Profil_506) at pk 8244.370000\n",
" 506) Section #507 (Profil_507) at pk 8270.900000\n",
" 507) Section #508 (Profil_508) at pk 8295.900000\n",
" 508) Section #509 (Profil_509) at pk 8320.900000\n",
@@ -883,241 +930,241 @@
" 535) Section #536 (Profil_536) at pk 9004.720000\n",
" 536) Section #537 (Profil_537) at pk 9030.210000\n",
" 537) Section #538 (Profil_538) at pk 9055.700000\n",
- " 538) Section #539 (Profil_539) at pk 9081.442105\n",
- " 539) Section #540 (Profil_540) at pk 9107.184211\n",
- " 540) Section #541 (Profil_541) at pk 9132.926316\n",
- " 541) Section #542 (Profil_542) at pk 9158.668421\n",
- " 542) Section #543 (Profil_543) at pk 9184.410526\n",
- " 543) Section #544 (Profil_544) at pk 9210.152632\n",
- " 544) Section #545 (Profil_545) at pk 9235.894737\n",
- " 545) Section #546 (Profil_546) at pk 9261.636842\n",
- " 546) Section #547 (Profil_547) at pk 9287.378947\n",
- " 547) Section #548 (Profil_548) at pk 9313.121053\n",
- " 548) Section #549 (Profil_549) at pk 9338.863158\n",
- " 549) Section #550 (Profil_550) at pk 9364.605263\n",
- " 550) Section #551 (Profil_551) at pk 9390.347368\n",
- " 551) Section #552 (Profil_552) at pk 9416.089474\n",
- " 552) Section #553 (Profil_553) at pk 9441.831579\n",
- " 553) Section #554 (Profil_554) at pk 9467.573684\n",
- " 554) Section #555 (Profil_555) at pk 9493.315789\n",
- " 555) Section #556 (Profil_556) at pk 9519.057895\n",
+ " 538) Section #539 (Profil_539) at pk 9081.440000\n",
+ " 539) Section #540 (Profil_540) at pk 9107.180000\n",
+ " 540) Section #541 (Profil_541) at pk 9132.930000\n",
+ " 541) Section #542 (Profil_542) at pk 9158.670000\n",
+ " 542) Section #543 (Profil_543) at pk 9184.410000\n",
+ " 543) Section #544 (Profil_544) at pk 9210.150000\n",
+ " 544) Section #545 (Profil_545) at pk 9235.890000\n",
+ " 545) Section #546 (Profil_546) at pk 9261.640000\n",
+ " 546) Section #547 (Profil_547) at pk 9287.380000\n",
+ " 547) Section #548 (Profil_548) at pk 9313.120000\n",
+ " 548) Section #549 (Profil_549) at pk 9338.860000\n",
+ " 549) Section #550 (Profil_550) at pk 9364.610000\n",
+ " 550) Section #551 (Profil_551) at pk 9390.350000\n",
+ " 551) Section #552 (Profil_552) at pk 9416.090000\n",
+ " 552) Section #553 (Profil_553) at pk 9441.830000\n",
+ " 553) Section #554 (Profil_554) at pk 9467.570000\n",
+ " 554) Section #555 (Profil_555) at pk 9493.320000\n",
+ " 555) Section #556 (Profil_556) at pk 9519.060000\n",
" 556) Section #557 (Profil_557) at pk 9544.800000\n",
- " 557) Section #558 (Profil_558) at pk 9570.289474\n",
- " 558) Section #559 (Profil_559) at pk 9595.778947\n",
- " 559) Section #560 (Profil_560) at pk 9621.268421\n",
- " 560) Section #561 (Profil_561) at pk 9646.757895\n",
- " 561) Section #562 (Profil_562) at pk 9672.247368\n",
- " 562) Section #563 (Profil_563) at pk 9697.736842\n",
- " 563) Section #564 (Profil_564) at pk 9723.226316\n",
- " 564) Section #565 (Profil_565) at pk 9748.715789\n",
- " 565) Section #566 (Profil_566) at pk 9774.205263\n",
- " 566) Section #567 (Profil_567) at pk 9799.694737\n",
- " 567) Section #568 (Profil_568) at pk 9825.184211\n",
- " 568) Section #569 (Profil_569) at pk 9850.673684\n",
- " 569) Section #570 (Profil_570) at pk 9876.163158\n",
- " 570) Section #571 (Profil_571) at pk 9901.652632\n",
- " 571) Section #572 (Profil_572) at pk 9927.142105\n",
- " 572) Section #573 (Profil_573) at pk 9952.631579\n",
- " 573) Section #574 (Profil_574) at pk 9978.121053\n",
- " 574) Section #575 (Profil_575) at pk 10003.610526\n",
+ " 557) Section #558 (Profil_558) at pk 9570.290000\n",
+ " 558) Section #559 (Profil_559) at pk 9595.780000\n",
+ " 559) Section #560 (Profil_560) at pk 9621.270000\n",
+ " 560) Section #561 (Profil_561) at pk 9646.760000\n",
+ " 561) Section #562 (Profil_562) at pk 9672.250000\n",
+ " 562) Section #563 (Profil_563) at pk 9697.740000\n",
+ " 563) Section #564 (Profil_564) at pk 9723.230000\n",
+ " 564) Section #565 (Profil_565) at pk 9748.720000\n",
+ " 565) Section #566 (Profil_566) at pk 9774.210000\n",
+ " 566) Section #567 (Profil_567) at pk 9799.690000\n",
+ " 567) Section #568 (Profil_568) at pk 9825.180000\n",
+ " 568) Section #569 (Profil_569) at pk 9850.670000\n",
+ " 569) Section #570 (Profil_570) at pk 9876.160000\n",
+ " 570) Section #571 (Profil_571) at pk 9901.650000\n",
+ " 571) Section #572 (Profil_572) at pk 9927.140000\n",
+ " 572) Section #573 (Profil_573) at pk 9952.630000\n",
+ " 573) Section #574 (Profil_574) at pk 9978.120000\n",
+ " 574) Section #575 (Profil_575) at pk 10003.610000\n",
" 575) Section #576 (Profil_576) at pk 10029.100000\n",
- " 576) Section #577 (Profil_577) at pk 10054.612500\n",
- " 577) Section #578 (Profil_578) at pk 10080.125000\n",
- " 578) Section #579 (Profil_579) at pk 10105.637500\n",
+ " 576) Section #577 (Profil_577) at pk 10054.610000\n",
+ " 577) Section #578 (Profil_578) at pk 10080.130000\n",
+ " 578) Section #579 (Profil_579) at pk 10105.640000\n",
" 579) Section #580 (Profil_580) at pk 10131.150000\n",
- " 580) Section #581 (Profil_581) at pk 10156.662500\n",
- " 581) Section #582 (Profil_582) at pk 10182.175000\n",
- " 582) Section #583 (Profil_583) at pk 10207.687500\n",
+ " 580) Section #581 (Profil_581) at pk 10156.660000\n",
+ " 581) Section #582 (Profil_582) at pk 10182.180000\n",
+ " 582) Section #583 (Profil_583) at pk 10207.690000\n",
" 583) Section #584 (Profil_584) at pk 10233.200000\n",
- " 584) Section #585 (Profil_585) at pk 10258.712500\n",
- " 585) Section #586 (Profil_586) at pk 10284.225000\n",
- " 586) Section #587 (Profil_587) at pk 10309.737500\n",
+ " 584) Section #585 (Profil_585) at pk 10258.710000\n",
+ " 585) Section #586 (Profil_586) at pk 10284.230000\n",
+ " 586) Section #587 (Profil_587) at pk 10309.740000\n",
" 587) Section #588 (Profil_588) at pk 10335.250000\n",
- " 588) Section #589 (Profil_589) at pk 10360.762500\n",
- " 589) Section #590 (Profil_590) at pk 10386.275000\n",
- " 590) Section #591 (Profil_591) at pk 10411.787500\n",
+ " 588) Section #589 (Profil_589) at pk 10360.760000\n",
+ " 589) Section #590 (Profil_590) at pk 10386.280000\n",
+ " 590) Section #591 (Profil_591) at pk 10411.790000\n",
" 591) Section #592 (Profil_592) at pk 10437.300000\n",
- " 592) Section #593 (Profil_593) at pk 10462.812500\n",
- " 593) Section #594 (Profil_594) at pk 10488.325000\n",
- " 594) Section #595 (Profil_595) at pk 10513.837500\n",
+ " 592) Section #593 (Profil_593) at pk 10462.810000\n",
+ " 593) Section #594 (Profil_594) at pk 10488.330000\n",
+ " 594) Section #595 (Profil_595) at pk 10513.840000\n",
" 595) Section #596 (Profil_596) at pk 10539.350000\n",
- " 596) Section #597 (Profil_597) at pk 10564.578947\n",
- " 597) Section #598 (Profil_598) at pk 10589.807895\n",
- " 598) Section #599 (Profil_599) at pk 10615.036842\n",
- " 599) Section #600 (Profil_600) at pk 10640.265789\n",
- " 600) Section #601 (Profil_601) at pk 10665.494737\n",
- " 601) Section #602 (Profil_602) at pk 10690.723684\n",
- " 602) Section #603 (Profil_603) at pk 10715.952632\n",
- " 603) Section #604 (Profil_604) at pk 10741.181579\n",
- " 604) Section #605 (Profil_605) at pk 10766.410526\n",
- " 605) Section #606 (Profil_606) at pk 10791.639474\n",
- " 606) Section #607 (Profil_607) at pk 10816.868421\n",
- " 607) Section #608 (Profil_608) at pk 10842.097368\n",
- " 608) Section #609 (Profil_609) at pk 10867.326316\n",
- " 609) Section #610 (Profil_610) at pk 10892.555263\n",
- " 610) Section #611 (Profil_611) at pk 10917.784211\n",
- " 611) Section #612 (Profil_612) at pk 10943.013158\n",
- " 612) Section #613 (Profil_613) at pk 10968.242105\n",
- " 613) Section #614 (Profil_614) at pk 10993.471053\n",
+ " 596) Section #597 (Profil_597) at pk 10564.580000\n",
+ " 597) Section #598 (Profil_598) at pk 10589.810000\n",
+ " 598) Section #599 (Profil_599) at pk 10615.040000\n",
+ " 599) Section #600 (Profil_600) at pk 10640.270000\n",
+ " 600) Section #601 (Profil_601) at pk 10665.490000\n",
+ " 601) Section #602 (Profil_602) at pk 10690.720000\n",
+ " 602) Section #603 (Profil_603) at pk 10715.950000\n",
+ " 603) Section #604 (Profil_604) at pk 10741.180000\n",
+ " 604) Section #605 (Profil_605) at pk 10766.410000\n",
+ " 605) Section #606 (Profil_606) at pk 10791.640000\n",
+ " 606) Section #607 (Profil_607) at pk 10816.870000\n",
+ " 607) Section #608 (Profil_608) at pk 10842.100000\n",
+ " 608) Section #609 (Profil_609) at pk 10867.330000\n",
+ " 609) Section #610 (Profil_610) at pk 10892.560000\n",
+ " 610) Section #611 (Profil_611) at pk 10917.780000\n",
+ " 611) Section #612 (Profil_612) at pk 10943.010000\n",
+ " 612) Section #613 (Profil_613) at pk 10968.240000\n",
+ " 613) Section #614 (Profil_614) at pk 10993.470000\n",
" 614) Section #615 (Profil_615) at pk 11018.700000\n",
- " 615) Section #616 (Profil_616) at pk 11043.829268\n",
- " 616) Section #617 (Profil_617) at pk 11068.958537\n",
- " 617) Section #618 (Profil_618) at pk 11094.087805\n",
- " 618) Section #619 (Profil_619) at pk 11119.217073\n",
- " 619) Section #620 (Profil_620) at pk 11144.346341\n",
- " 620) Section #621 (Profil_621) at pk 11169.475610\n",
- " 621) Section #622 (Profil_622) at pk 11194.604878\n",
- " 622) Section #623 (Profil_623) at pk 11219.734146\n",
- " 623) Section #624 (Profil_624) at pk 11244.863415\n",
- " 624) Section #625 (Profil_625) at pk 11269.992683\n",
- " 625) Section #626 (Profil_626) at pk 11295.121951\n",
- " 626) Section #627 (Profil_627) at pk 11320.251220\n",
- " 627) Section #628 (Profil_628) at pk 11345.380488\n",
- " 628) Section #629 (Profil_629) at pk 11370.509756\n",
- " 629) Section #630 (Profil_630) at pk 11395.639024\n",
- " 630) Section #631 (Profil_631) at pk 11420.768293\n",
- " 631) Section #632 (Profil_632) at pk 11445.897561\n",
- " 632) Section #633 (Profil_633) at pk 11471.026829\n",
- " 633) Section #634 (Profil_634) at pk 11496.156098\n",
- " 634) Section #635 (Profil_635) at pk 11521.285366\n",
- " 635) Section #636 (Profil_636) at pk 11546.414634\n",
- " 636) Section #637 (Profil_637) at pk 11571.543902\n",
- " 637) Section #638 (Profil_638) at pk 11596.673171\n",
- " 638) Section #639 (Profil_639) at pk 11621.802439\n",
- " 639) Section #640 (Profil_640) at pk 11646.931707\n",
- " 640) Section #641 (Profil_641) at pk 11672.060976\n",
- " 641) Section #642 (Profil_642) at pk 11697.190244\n",
- " 642) Section #643 (Profil_643) at pk 11722.319512\n",
- " 643) Section #644 (Profil_644) at pk 11747.448780\n",
- " 644) Section #645 (Profil_645) at pk 11772.578049\n",
- " 645) Section #646 (Profil_646) at pk 11797.707317\n",
- " 646) Section #647 (Profil_647) at pk 11822.836585\n",
- " 647) Section #648 (Profil_648) at pk 11847.965854\n",
- " 648) Section #649 (Profil_649) at pk 11873.095122\n",
- " 649) Section #650 (Profil_650) at pk 11898.224390\n",
- " 650) Section #651 (Profil_651) at pk 11923.353659\n",
- " 651) Section #652 (Profil_652) at pk 11948.482927\n",
- " 652) Section #653 (Profil_653) at pk 11973.612195\n",
- " 653) Section #654 (Profil_654) at pk 11998.741463\n",
- " 654) Section #655 (Profil_655) at pk 12023.870732\n",
+ " 615) Section #616 (Profil_616) at pk 11043.830000\n",
+ " 616) Section #617 (Profil_617) at pk 11068.960000\n",
+ " 617) Section #618 (Profil_618) at pk 11094.090000\n",
+ " 618) Section #619 (Profil_619) at pk 11119.220000\n",
+ " 619) Section #620 (Profil_620) at pk 11144.350000\n",
+ " 620) Section #621 (Profil_621) at pk 11169.480000\n",
+ " 621) Section #622 (Profil_622) at pk 11194.600000\n",
+ " 622) Section #623 (Profil_623) at pk 11219.730000\n",
+ " 623) Section #624 (Profil_624) at pk 11244.860000\n",
+ " 624) Section #625 (Profil_625) at pk 11269.990000\n",
+ " 625) Section #626 (Profil_626) at pk 11295.120000\n",
+ " 626) Section #627 (Profil_627) at pk 11320.250000\n",
+ " 627) Section #628 (Profil_628) at pk 11345.380000\n",
+ " 628) Section #629 (Profil_629) at pk 11370.510000\n",
+ " 629) Section #630 (Profil_630) at pk 11395.640000\n",
+ " 630) Section #631 (Profil_631) at pk 11420.770000\n",
+ " 631) Section #632 (Profil_632) at pk 11445.900000\n",
+ " 632) Section #633 (Profil_633) at pk 11471.030000\n",
+ " 633) Section #634 (Profil_634) at pk 11496.160000\n",
+ " 634) Section #635 (Profil_635) at pk 11521.290000\n",
+ " 635) Section #636 (Profil_636) at pk 11546.410000\n",
+ " 636) Section #637 (Profil_637) at pk 11571.540000\n",
+ " 637) Section #638 (Profil_638) at pk 11596.670000\n",
+ " 638) Section #639 (Profil_639) at pk 11621.800000\n",
+ " 639) Section #640 (Profil_640) at pk 11646.930000\n",
+ " 640) Section #641 (Profil_641) at pk 11672.060000\n",
+ " 641) Section #642 (Profil_642) at pk 11697.190000\n",
+ " 642) Section #643 (Profil_643) at pk 11722.320000\n",
+ " 643) Section #644 (Profil_644) at pk 11747.450000\n",
+ " 644) Section #645 (Profil_645) at pk 11772.580000\n",
+ " 645) Section #646 (Profil_646) at pk 11797.710000\n",
+ " 646) Section #647 (Profil_647) at pk 11822.840000\n",
+ " 647) Section #648 (Profil_648) at pk 11847.970000\n",
+ " 648) Section #649 (Profil_649) at pk 11873.100000\n",
+ " 649) Section #650 (Profil_650) at pk 11898.220000\n",
+ " 650) Section #651 (Profil_651) at pk 11923.350000\n",
+ " 651) Section #652 (Profil_652) at pk 11948.480000\n",
+ " 652) Section #653 (Profil_653) at pk 11973.610000\n",
+ " 653) Section #654 (Profil_654) at pk 11998.740000\n",
+ " 654) Section #655 (Profil_655) at pk 12023.870000\n",
" 655) Section #656 (Profil_656) at pk 12049.000000\n",
- " 656) Section #657 (Profil_657) at pk 12074.378947\n",
- " 657) Section #658 (Profil_658) at pk 12099.757895\n",
- " 658) Section #659 (Profil_659) at pk 12125.136842\n",
- " 659) Section #660 (Profil_660) at pk 12150.515789\n",
- " 660) Section #661 (Profil_661) at pk 12175.894737\n",
- " 661) Section #662 (Profil_662) at pk 12201.273684\n",
- " 662) Section #663 (Profil_663) at pk 12226.652632\n",
- " 663) Section #664 (Profil_664) at pk 12252.031579\n",
- " 664) Section #665 (Profil_665) at pk 12277.410526\n",
- " 665) Section #666 (Profil_666) at pk 12302.789474\n",
- " 666) Section #667 (Profil_667) at pk 12328.168421\n",
- " 667) Section #668 (Profil_668) at pk 12353.547368\n",
- " 668) Section #669 (Profil_669) at pk 12378.926316\n",
- " 669) Section #670 (Profil_670) at pk 12404.305263\n",
- " 670) Section #671 (Profil_671) at pk 12429.684211\n",
- " 671) Section #672 (Profil_672) at pk 12455.063158\n",
- " 672) Section #673 (Profil_673) at pk 12480.442105\n",
- " 673) Section #674 (Profil_674) at pk 12505.821053\n",
+ " 656) Section #657 (Profil_657) at pk 12074.380000\n",
+ " 657) Section #658 (Profil_658) at pk 12099.760000\n",
+ " 658) Section #659 (Profil_659) at pk 12125.140000\n",
+ " 659) Section #660 (Profil_660) at pk 12150.520000\n",
+ " 660) Section #661 (Profil_661) at pk 12175.890000\n",
+ " 661) Section #662 (Profil_662) at pk 12201.270000\n",
+ " 662) Section #663 (Profil_663) at pk 12226.650000\n",
+ " 663) Section #664 (Profil_664) at pk 12252.030000\n",
+ " 664) Section #665 (Profil_665) at pk 12277.410000\n",
+ " 665) Section #666 (Profil_666) at pk 12302.790000\n",
+ " 666) Section #667 (Profil_667) at pk 12328.170000\n",
+ " 667) Section #668 (Profil_668) at pk 12353.550000\n",
+ " 668) Section #669 (Profil_669) at pk 12378.930000\n",
+ " 669) Section #670 (Profil_670) at pk 12404.310000\n",
+ " 670) Section #671 (Profil_671) at pk 12429.680000\n",
+ " 671) Section #672 (Profil_672) at pk 12455.060000\n",
+ " 672) Section #673 (Profil_673) at pk 12480.440000\n",
+ " 673) Section #674 (Profil_674) at pk 12505.820000\n",
" 674) Section #675 (Profil_675) at pk 12531.200000\n",
- " 675) Section #676 (Profil_676) at pk 12556.447368\n",
- " 676) Section #677 (Profil_677) at pk 12581.694737\n",
- " 677) Section #678 (Profil_678) at pk 12606.942105\n",
- " 678) Section #679 (Profil_679) at pk 12632.189474\n",
- " 679) Section #680 (Profil_680) at pk 12657.436842\n",
- " 680) Section #681 (Profil_681) at pk 12682.684211\n",
- " 681) Section #682 (Profil_682) at pk 12707.931579\n",
- " 682) Section #683 (Profil_683) at pk 12733.178947\n",
- " 683) Section #684 (Profil_684) at pk 12758.426316\n",
- " 684) Section #685 (Profil_685) at pk 12783.673684\n",
- " 685) Section #686 (Profil_686) at pk 12808.921053\n",
- " 686) Section #687 (Profil_687) at pk 12834.168421\n",
- " 687) Section #688 (Profil_688) at pk 12859.415789\n",
- " 688) Section #689 (Profil_689) at pk 12884.663158\n",
- " 689) Section #690 (Profil_690) at pk 12909.910526\n",
- " 690) Section #691 (Profil_691) at pk 12935.157895\n",
- " 691) Section #692 (Profil_692) at pk 12960.405263\n",
- " 692) Section #693 (Profil_693) at pk 12985.652632\n",
+ " 675) Section #676 (Profil_676) at pk 12556.450000\n",
+ " 676) Section #677 (Profil_677) at pk 12581.690000\n",
+ " 677) Section #678 (Profil_678) at pk 12606.940000\n",
+ " 678) Section #679 (Profil_679) at pk 12632.190000\n",
+ " 679) Section #680 (Profil_680) at pk 12657.440000\n",
+ " 680) Section #681 (Profil_681) at pk 12682.680000\n",
+ " 681) Section #682 (Profil_682) at pk 12707.930000\n",
+ " 682) Section #683 (Profil_683) at pk 12733.180000\n",
+ " 683) Section #684 (Profil_684) at pk 12758.430000\n",
+ " 684) Section #685 (Profil_685) at pk 12783.670000\n",
+ " 685) Section #686 (Profil_686) at pk 12808.920000\n",
+ " 686) Section #687 (Profil_687) at pk 12834.170000\n",
+ " 687) Section #688 (Profil_688) at pk 12859.420000\n",
+ " 688) Section #689 (Profil_689) at pk 12884.660000\n",
+ " 689) Section #690 (Profil_690) at pk 12909.910000\n",
+ " 690) Section #691 (Profil_691) at pk 12935.160000\n",
+ " 691) Section #692 (Profil_692) at pk 12960.410000\n",
+ " 692) Section #693 (Profil_693) at pk 12985.650000\n",
" 693) Section #694 (Profil_694) at pk 13010.900000\n",
- " 694) Section #695 (Profil_695) at pk 13036.357895\n",
- " 695) Section #696 (Profil_696) at pk 13061.815789\n",
- " 696) Section #697 (Profil_697) at pk 13087.273684\n",
- " 697) Section #698 (Profil_698) at pk 13112.731579\n",
- " 698) Section #699 (Profil_699) at pk 13138.189474\n",
- " 699) Section #700 (Profil_700) at pk 13163.647368\n",
- " 700) Section #701 (Profil_701) at pk 13189.105263\n",
- " 701) Section #702 (Profil_702) at pk 13214.563158\n",
- " 702) Section #703 (Profil_703) at pk 13240.021053\n",
- " 703) Section #704 (Profil_704) at pk 13265.478947\n",
- " 704) Section #705 (Profil_705) at pk 13290.936842\n",
- " 705) Section #706 (Profil_706) at pk 13316.394737\n",
- " 706) Section #707 (Profil_707) at pk 13341.852632\n",
- " 707) Section #708 (Profil_708) at pk 13367.310526\n",
- " 708) Section #709 (Profil_709) at pk 13392.768421\n",
- " 709) Section #710 (Profil_710) at pk 13418.226316\n",
- " 710) Section #711 (Profil_711) at pk 13443.684211\n",
- " 711) Section #712 (Profil_712) at pk 13469.142105\n",
+ " 694) Section #695 (Profil_695) at pk 13036.360000\n",
+ " 695) Section #696 (Profil_696) at pk 13061.820000\n",
+ " 696) Section #697 (Profil_697) at pk 13087.270000\n",
+ " 697) Section #698 (Profil_698) at pk 13112.730000\n",
+ " 698) Section #699 (Profil_699) at pk 13138.190000\n",
+ " 699) Section #700 (Profil_700) at pk 13163.650000\n",
+ " 700) Section #701 (Profil_701) at pk 13189.110000\n",
+ " 701) Section #702 (Profil_702) at pk 13214.560000\n",
+ " 702) Section #703 (Profil_703) at pk 13240.020000\n",
+ " 703) Section #704 (Profil_704) at pk 13265.480000\n",
+ " 704) Section #705 (Profil_705) at pk 13290.940000\n",
+ " 705) Section #706 (Profil_706) at pk 13316.390000\n",
+ " 706) Section #707 (Profil_707) at pk 13341.850000\n",
+ " 707) Section #708 (Profil_708) at pk 13367.310000\n",
+ " 708) Section #709 (Profil_709) at pk 13392.770000\n",
+ " 709) Section #710 (Profil_710) at pk 13418.230000\n",
+ " 710) Section #711 (Profil_711) at pk 13443.680000\n",
+ " 711) Section #712 (Profil_712) at pk 13469.140000\n",
" 712) Section #713 (Profil_713) at pk 13494.600000\n",
" 713) Section #714 (Profil_714) at pk 13533.900000\n",
- " 714) Section #715 (Profil_715) at pk 13559.485000\n",
+ " 714) Section #715 (Profil_715) at pk 13559.490000\n",
" 715) Section #716 (Profil_716) at pk 13585.070000\n",
- " 716) Section #717 (Profil_717) at pk 13610.655000\n",
+ " 716) Section #717 (Profil_717) at pk 13610.650000\n",
" 717) Section #718 (Profil_718) at pk 13636.240000\n",
- " 718) Section #719 (Profil_719) at pk 13661.825000\n",
+ " 718) Section #719 (Profil_719) at pk 13661.820000\n",
" 719) Section #720 (Profil_720) at pk 13687.410000\n",
- " 720) Section #721 (Profil_721) at pk 13712.995000\n",
+ " 720) Section #721 (Profil_721) at pk 13712.990000\n",
" 721) Section #722 (Profil_722) at pk 13738.580000\n",
- " 722) Section #723 (Profil_723) at pk 13764.165000\n",
+ " 722) Section #723 (Profil_723) at pk 13764.160000\n",
" 723) Section #724 (Profil_724) at pk 13789.750000\n",
- " 724) Section #725 (Profil_725) at pk 13815.335000\n",
+ " 724) Section #725 (Profil_725) at pk 13815.330000\n",
" 725) Section #726 (Profil_726) at pk 13840.920000\n",
- " 726) Section #727 (Profil_727) at pk 13866.505000\n",
+ " 726) Section #727 (Profil_727) at pk 13866.500000\n",
" 727) Section #728 (Profil_728) at pk 13892.090000\n",
- " 728) Section #729 (Profil_729) at pk 13917.675000\n",
+ " 728) Section #729 (Profil_729) at pk 13917.670000\n",
" 729) Section #730 (Profil_730) at pk 13943.260000\n",
- " 730) Section #731 (Profil_731) at pk 13968.845000\n",
+ " 730) Section #731 (Profil_731) at pk 13968.840000\n",
" 731) Section #732 (Profil_732) at pk 13994.430000\n",
- " 732) Section #733 (Profil_733) at pk 14020.015000\n",
+ " 732) Section #733 (Profil_733) at pk 14020.010000\n",
" 733) Section #734 (Profil_734) at pk 14045.600000\n",
- " 734) Section #735 (Profil_735) at pk 14071.185000\n",
+ " 734) Section #735 (Profil_735) at pk 14071.180000\n",
" 735) Section #736 (Profil_736) at pk 14096.770000\n",
- " 736) Section #737 (Profil_737) at pk 14122.355000\n",
+ " 736) Section #737 (Profil_737) at pk 14122.350000\n",
" 737) Section #738 (Profil_738) at pk 14147.940000\n",
- " 738) Section #739 (Profil_739) at pk 14173.525000\n",
+ " 738) Section #739 (Profil_739) at pk 14173.520000\n",
" 739) Section #740 (Profil_740) at pk 14199.110000\n",
- " 740) Section #741 (Profil_741) at pk 14224.695000\n",
+ " 740) Section #741 (Profil_741) at pk 14224.690000\n",
" 741) Section #742 (Profil_742) at pk 14250.280000\n",
- " 742) Section #743 (Profil_743) at pk 14275.865000\n",
+ " 742) Section #743 (Profil_743) at pk 14275.860000\n",
" 743) Section #744 (Profil_744) at pk 14301.450000\n",
- " 744) Section #745 (Profil_745) at pk 14327.035000\n",
+ " 744) Section #745 (Profil_745) at pk 14327.030000\n",
" 745) Section #746 (Profil_746) at pk 14352.620000\n",
- " 746) Section #747 (Profil_747) at pk 14378.205000\n",
+ " 746) Section #747 (Profil_747) at pk 14378.200000\n",
" 747) Section #748 (Profil_748) at pk 14403.790000\n",
- " 748) Section #749 (Profil_749) at pk 14429.375000\n",
+ " 748) Section #749 (Profil_749) at pk 14429.370000\n",
" 749) Section #750 (Profil_750) at pk 14454.960000\n",
- " 750) Section #751 (Profil_751) at pk 14480.545000\n",
+ " 750) Section #751 (Profil_751) at pk 14480.540000\n",
" 751) Section #752 (Profil_752) at pk 14506.130000\n",
- " 752) Section #753 (Profil_753) at pk 14531.715000\n",
+ " 752) Section #753 (Profil_753) at pk 14531.710000\n",
" 753) Section #754 (Profil_754) at pk 14557.300000\n",
- " 754) Section #755 (Profil_755) at pk 14583.185000\n",
+ " 754) Section #755 (Profil_755) at pk 14583.180000\n",
" 755) Section #756 (Profil_756) at pk 14609.070000\n",
- " 756) Section #757 (Profil_757) at pk 14634.955000\n",
+ " 756) Section #757 (Profil_757) at pk 14634.950000\n",
" 757) Section #758 (Profil_758) at pk 14660.840000\n",
- " 758) Section #759 (Profil_759) at pk 14686.725000\n",
+ " 758) Section #759 (Profil_759) at pk 14686.730000\n",
" 759) Section #760 (Profil_760) at pk 14712.610000\n",
- " 760) Section #761 (Profil_761) at pk 14738.495000\n",
+ " 760) Section #761 (Profil_761) at pk 14738.500000\n",
" 761) Section #762 (Profil_762) at pk 14764.380000\n",
- " 762) Section #763 (Profil_763) at pk 14790.265000\n",
+ " 762) Section #763 (Profil_763) at pk 14790.270000\n",
" 763) Section #764 (Profil_764) at pk 14816.150000\n",
- " 764) Section #765 (Profil_765) at pk 14842.035000\n",
+ " 764) Section #765 (Profil_765) at pk 14842.040000\n",
" 765) Section #766 (Profil_766) at pk 14867.920000\n",
- " 766) Section #767 (Profil_767) at pk 14893.805000\n",
+ " 766) Section #767 (Profil_767) at pk 14893.810000\n",
" 767) Section #768 (Profil_768) at pk 14919.690000\n",
- " 768) Section #769 (Profil_769) at pk 14945.575000\n",
+ " 768) Section #769 (Profil_769) at pk 14945.580000\n",
" 769) Section #770 (Profil_770) at pk 14971.460000\n",
- " 770) Section #771 (Profil_771) at pk 14997.345000\n",
+ " 770) Section #771 (Profil_771) at pk 14997.350000\n",
" 771) Section #772 (Profil_772) at pk 15023.230000\n",
- " 772) Section #773 (Profil_773) at pk 15049.115000\n",
+ " 772) Section #773 (Profil_773) at pk 15049.120000\n",
" 773) Section #774 (Profil_774) at pk 15075.000000\n",
"16 variables:\n",
" - Cote du fond (m) | ZREF \n",
@@ -1214,17 +1261,17 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:49.807959Z",
- "iopub.status.busy": "2023-12-01T10:46:49.807780Z",
- "iopub.status.idle": "2023-12-01T10:46:50.385599Z",
- "shell.execute_reply": "2023-12-01T10:46:50.385176Z"
+ "iopub.execute_input": "2024-11-29T15:43:53.437803Z",
+ "iopub.status.busy": "2024-11-29T15:43:53.437554Z",
+ "iopub.status.idle": "2024-11-29T15:43:54.045314Z",
+ "shell.execute_reply": "2024-11-29T15:43:54.044699Z"
},
"scrolled": true
},
"outputs": [
{
"data": {
- "image/png": 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",
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",
"text/plain": [
"<Figure size 1000x800 with 1 Axes>"
]
@@ -1301,10 +1348,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:50.387889Z",
- "iopub.status.busy": "2023-12-01T10:46:50.387664Z",
- "iopub.status.idle": "2023-12-01T10:46:50.421494Z",
- "shell.execute_reply": "2023-12-01T10:46:50.420987Z"
+ "iopub.execute_input": "2024-11-29T15:43:54.047781Z",
+ "iopub.status.busy": "2024-11-29T15:43:54.047474Z",
+ "iopub.status.idle": "2024-11-29T15:43:54.087420Z",
+ "shell.execute_reply": "2024-11-29T15:43:54.086761Z"
}
},
"outputs": [
@@ -1312,7 +1359,10 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Section #383 (Profil_383) at pk 5058.500000\n"
+ "Section #383 (Profil_383) at pk 5058.500000\n",
+ "Section #463 (Profil_463) at pk 7133.420000\n",
+ "Section #562 (Profil_562) at pk 9672.250000\n",
+ "Section #637 (Profil_637) at pk 11571.540000\n"
]
}
],
@@ -1348,16 +1398,16 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:50.423487Z",
- "iopub.status.busy": "2023-12-01T10:46:50.423308Z",
- "iopub.status.idle": "2023-12-01T10:46:51.691836Z",
- "shell.execute_reply": "2023-12-01T10:46:51.691297Z"
+ "iopub.execute_input": "2024-11-29T15:43:54.090790Z",
+ "iopub.status.busy": "2024-11-29T15:43:54.090092Z",
+ "iopub.status.idle": "2024-11-29T15:43:55.528546Z",
+ "shell.execute_reply": "2024-11-29T15:43:55.527937Z"
}
},
"outputs": [
{
"data": {
- "image/png": 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Hy263+w9Ebkgr4KJFi7RkyRKddtppio+P16JFi3TjjTfqkksu8SdNF110ke677z5dfvnl+stf/qLVq1frqaeeqjV04v7779eQIUPUtWtXFRYW6m9/+5u2bdvmL5gkJCRo5MiRuvXWWxUdHa0OHTpo4cKFev311/17uSRp8uTJateunaZNm1av61osFt1www168MEH1a1bN/+49YyMjFoHRjc1UxOrl1566ZiPOVbZ0jAM/8fR0dH6/HNzpuEAAACgecTExOjzzz/X9ddfr0GDBikmJkbnn39+rcV3U7LZbFq/fr1ee+017du3T23atNGgQYP09ddf+wdCJCcna/bs2brjjjt0+umny+12q3fv3vroo4/8kwN9ydaNN96oyspKZWVl6bzzzqvVppebm6tOnTpp/vz5GjVq1BFjmjx5ssrLy3XyySfLZrPp+uuvr3Ve1OFGjBihTz75RGeddZZsNlutwSD1ERkZqbffflv33nuvKisr1alTJ91444219l0lJibqiy++0JQpUzRw4EAlJyfr7rvvrhXTwYMHdcUVV/iHWQwcOFDfffddrSF1b7/9tqZOnaqLL75YBw4cUIcOHfTQQw/pqquu8j9m+/bttapa9bnubbfdptLSUl155ZUqLCzUiBEjNHv27OY7w0qSxTg8M4Gk6lJhYmKiioqK/D2zAAAAgaKiokJbt25Vp06dmnWhiOY3f/58nXfeedqyZcsRW+hGjRqlE044QU8++WTLBhdGjvZ3qr65gal7rAAAAIBw9umnn+r2228/YlKF4BEco2MQdPY4K1TgrFTfzESzQwEAAKjl66+/1vjx4494f0lJSYvF8re//a3FngvNi8QKTWrVziK99M0WzVqZJ4/X0NO/PVET+h95wgwAAEBLO+mkk7RixQqzw6i3BQsWmB0C6oHECo1W5TU0d12BXvp6q77PPVDrvvs/XquR3dsqMTrCpOgAAABqi46OVteuXc0OAyGGPVY4biWVHr3y7Vad9vgC/ek/y/V97gHZrRZNOiFD7189TJ3bxmpfSaUe/zzH7FABAAhJzCADmkZT/F2iYoXjsm1/qSb961sdLKs+FC4xOkIXD26vyUM7Ki2xepLKg5P66KIXluiNJdv064GZ6p+VZGLEAACEjoiI6k6QsrIyRUdHmxwNEPx8Bz77/m4dDxIrHJcFOXt1sMyt1IRIXXN6N50/oJ1iHLX/OA3rkqxfndhOM37cpTs+XKWPpoyQzWoxKWIAAEKHzWZTUlKS9uzZI6n6nCeLhf9jgYYyDENlZWXas2ePkpKSZLPZjvtaJFY4Lmt3OyVJ/3dSln43pMMRH3f7WT01b12BVu9y6j+LcnXZ8E4tFSIAACEtLS1NkvzJFYDjl5SU5P87dbxIrHBc1uZVJ1a9Mo5+gHLb+EjdNq6H7vxwtR7/YoPG901XagIHGQIA0FgWi0Xp6elKSUmR2+02OxwgaEVERDSqUuVDYoUGc1d5lVNQLEnqlX7sc6ouOrm93lu+Uyt2FOqBWWv1z4sGNHeIAACEDZvN1iSLQgCNw1RANNiWvaVyebyKj7Qrs9WxN8xarRY9OKmPrBZp1so8fbVhbwtECQAAALQcEis02Nq8IklSz/QEWes5jKJPu0RdNqx6f9VdH61Whbuq2eIDAAAAWhqJFRpsza767a/6uZvGdFdqQqS27S/Tsws2N0doAAAAgClIrNBg/sEV6Q1LrOIi7brn3N6SpOcWbNaWvSVNHhsAAABgBhIrNIhhGPWeCFiX8X3SNLJ7W7mqvLr7ozWcGA8AAICQQGKFBskrqlBhmVt2q0VdU+Ia/P0Wi0X3T+ytSLtV32zap2827WuGKAEAAICWRWKFBvEdDNw1JU5REcc32rVDm1j95qRMSdKHP+5ustgAAAAAs5BYoUGOd3/Vz008oZ0k6fM1+UwIBAAAQNAjsUKD+CpWx7O/6nAD27dSRmKUSio9mr9+T1OEBgAAAJiGxAoN0lQVK6vVonNPyJAkzfyJdkAAAAAENxIr1Juzwq3tB8okNb5iJUkT+lcnVvPW75Gzwt3o6wEAAABmIbFCva3PK5YktUuKVlKMo9HX65WeoC5tY+XyePXFmoJGXw8AAAAwC4kV6m3t7iJJUs9GtgH6WCwW/xAL2gEBAAAQzEisUG+NORj4SHztgN9u2qd9JZVNdl0AAACgJZFYod6aanDF4Tomx6pfZqKqvIY+XZXXZNcFAAAAWhKJFerFXeXVhvwSSVLvJqxYSYeqVjNX0A4IAACA4ERihXrZvLdEriqv4iPtymwV3aTXPqdfhiwWadm2g9pVWN6k1wYAAABaAokV6sV3MHDPjARZLJYmvXZaYpQGd2otSfqYIRYAAAAIQiRWqJc1u5t+f9XhJvSvng74Ee2AAAAACEIkVqgXX8WqKScCHm58nzTZrRaty3Nq057iZnkOAAAAoLmQWOGYDMNolomAh2sV69DI7m0lMcQCAAAAwYfECse0u6hCReVu2a0WdUuNa7bnmXBC9XTAj37aLcMwmu15AAAAgKZGYoVj8rUBdk2JU6Td1mzPM7pnqqIirNq2v0wrdxY12/MAAAAATY3ECsfU3PurfGIj7TqzV5okaSbTAQEAABBESKxwTGvzqqtHzbW/6nC+w4JnrdytKi/tgAAAAAgOJFY4Jv/gimauWEnSqd2TlRBlV4GzUku27m/25wMAAACaAokVjqqo3K0dB8oltUzFKtJu0/g+6ZI4LBgAAADBg8QKR7W+plrVLilaSTGOFnnOiTXTAT9dlS+Xx9sizwkAAAA0BokVjqol2wB9Bnduo5T4SBWVu/XVhr0t9rwAAADA8SKxwlH5JwK2QBugj81q0dn9atoBV9IOCAAAgMBHYoWjMqNiJUln961OrOav3yNPFe2AAAAACGwkVjgid5VXGwtKJLVsxUqSTmzfSkkxEXJWePTjjsIWfW4AAACgoUiscEQFzgq5qrxy2K3KbBXdos9ts1o0sntbSdKX6/e06HMDAAAADUVihSNylnskSQlREbJYLC3+/Kdlp0iqbgcEAAAAAhmJFY6ouMItSUqItpvy/CO7t5XFIq3PL9buwnJTYgAAAADqg8QKR+SsqK5YxUdFmPL8rWIdOjErSZK0IIex6wAAAAhcJFY4Imd5TcUqypyKlSSd3qO6HZB9VgAAAAhkJFY4okOtgOZUrCRpVM0+q2837VOlp8q0OAAAAICjIbHCEflaAc2sWPXOSFBKfKTK3VVasuWAaXEAAAAAR0NihSPyV6xM2mMlSRaL5dB0wBzaAQEAABCYSKxwRL5x6/EmVqwk6bQejF0HAABAYCOxwhE5A2CPlSSN6JasCJtFufvLtHVfqamxAAAAAHUhscIRFVccOiDYTHGRdp3cqbUkpgMCAAAgMJFY4Yh8FSuzWwEl+fdZLWCfFQAAAAIQiRWOyF+xMrkVUDq0z2rJlgMqrfSYHA0AAABQG4kVjsh3QHAgVKw6J8eqfesYuaq8+nbTPrPDAQAAAGohsUKdDMM4NLzC5D1WUvXY9dN7MHYdAAAAgYnECnWq9HjlrjIkBUYroCSNym4rSZq/fq8MwzA5GgAAAOAQEivUydcGaLVIsQ6bydFUG9K5jaIirMp3VmhdXrHZ4QAAAAB+JFaok7PCdzhwhCwWi8nRVIuKsGl4l2RJtAMCAAAgsJBYoU6BNGr9cL7pgPM5zwoAAAABhMQKdfK1AgbC4IrD+RKrH7YfVGGZy+RoAAAAgGokVqjToTOsAqti1S4pWtmp8fIa0sINe80OBwAAAJBEYoUjONQKGFgVK0ka1aN6OuCCHBIrAAAABAYSK9TJX7EKwMTq9OzqdsAFOXtU5WXsOgAAAMxHYoU6+fZYBdrwCkka0KGV4qPsOljm1k87C80OBwAAACCxQt18rYCBcjjw4SJsVp3a3XdYMNMBAQAAYD4SK9TpUCtg4FWsJOm0mnZAzrMCAABAICCxQp0Cddy6z6js6orV6l1O7XFWmBwNAAAAwh2JFeoUqOPWfZLjItU/M1GStICx6wAAADCZqYnV9OnT1a9fPyUkJCghIUFDhw7VZ5995r9/1KhRslgstW5XXXXVUa9pGIbuvvtupaenKzo6WqNHj9bGjRub+6WEnEAet+4zoluyJGnR5v0mRwIAAIBwZ2pilZmZqUceeUTLly/XsmXLdPrpp2vixIlas2aN/zFXXHGF8vLy/LfHHnvsqNd87LHH9PTTT+u5557TkiVLFBsbq7Fjx6qignaxhnCWB+64dZ9hXQ4lVobB2HUAAACYx9Q+r3PPPbfW5w899JCmT5+uxYsXq3fv3pKkmJgYpaWl1et6hmHoySef1J133qmJEydKkl5//XWlpqbqww8/1IUXXti0LyCEFfunAgZmK6AkDezQSg6bVfnOCuXuL1On5FizQwIAAECYCpg9VlVVVXr77bdVWlqqoUOH+r/+3//+V8nJyerTp4+mTp2qsrKyI15j69atys/P1+jRo/1fS0xM1ODBg7Vo0aIjfl9lZaWcTmetWzjzVHlV6qqSFNitgFERNp3QPkkS7YAAAAAwl+nliFWrVmno0KGqqKhQXFycZsyYoV69ekmSLrroInXo0EEZGRlauXKl/vKXvygnJ0cffPBBndfKz8+XJKWmptb6empqqv++ukybNk333XdfE72i4FdS6fF/HIgHBB9uaOc2+n7rAS3asl8XDW5vdjgAAAAIU6avmrOzs7VixQoVFRXpvffe06WXXqqFCxeqV69euvLKK/2P69u3r9LT03XGGWdo8+bN6tKlS5PFMHXqVN10003+z51Op7Kysprs+sHGt78qOsKmCFvAFDXrNLRLGz01b6N/n5XFYjE7JAAAAIQh01fNDodDXbt21cCBAzVt2jT1799fTz31VJ2PHTx4sCRp06ZNdd7v24tVUFBQ6+sFBQVH3acVGRnpn0zou4UzZxDsr/I5sX2SIu1W7Sup1KY9JWaHAwAAgDBlemL1c16vV5WVlXXet2LFCklSenp6nfd36tRJaWlpmjdvnv9rTqdTS5YsqbVvC0fnT6wCeH+VT6TdpoEdWkmSFm1hnxUAAADMYWpiNXXqVH311VfKzc3VqlWrNHXqVC1YsEAXX3yxNm/erAceeEDLly9Xbm6uZs6cqcmTJ+vUU09Vv379/Nfo0aOHZsyYIUmyWCy64YYb9OCDD2rmzJlatWqVJk+erIyMDE2aNMmkVxl8fK2Agb6/ymdo5zaSGGABAAAA85i6ct6zZ48mT56svLw8JSYmql+/fvr888915plnaseOHZo7d66efPJJlZaWKisrS+eff77uvPPOWtfIyclRUVGR//PbbrtNpaWluvLKK1VYWKgRI0Zo9uzZioqKaumXF7QOjVoP/IqVVL3PSnOkxVv2y+s1ZLWyzwoAAAAty9TE6qWXXjrifVlZWVq4cOExr/Hzg2EtFovuv/9+3X///Y2OL1w5K3wVq+BIrPplJinGYdPBMrdyCorVMz2898gBAACg5QXcHiuYz1nu22MVHK2ADrtVJ3VsLYl2QAAAAJiDxAq/UFxTsQqWVkDpsH1WDLAAAACACUis8Au+qYDBMrxCqtlnJWnJlv2q8hrHeDQAAADQtEis8AvFQTRu3adPRoLiIu1yVni0Ls9pdjgAAAAIMyRW+IVgG7cuSXabVSd3qt5n9d3mfSZHAwAAgHBDYoVfcAbZuHUfzrMCAACAWUis8Av+4RVB1AooHdpntTT3oDxVXpOjAQAAQDghscIv+CtWQdQKKEk90xOUGB2hkkqPVu0qOvY3AAAAAE2ExAq1GIYRlOPWJclmtWhwzT4rxq4DAACgJZFYoZYyV5V/XHkwDa/w8bUDss8KAAAALYnECrX42gDtVouiI2wmR9NwvsRqWe5BuTzsswIAAEDLILFCLYe3AVosFpOjabjuKfFqHetQubtKK3cWmh0OAAAAwgSJFWpxlldXrIKxDVCSrFaLhnSu2WdFOyAAAABaCIkVajk0ETC4Blccznee1XckVgAAAGghJFaoxdcKGKwVK+nQPqvl2w+qwl1lcjQAAAAIByRWqMXXChjMFasubePUNj5SLo9XP24vNDscAAAAhAESK9TiDIGKlcVi8bcDcp4VAAAAWgKJFWrx77EKssOBf87XDriYfVYAAABoASRWqMVZXjNuPYhbAaVDAyx+3HFQ5S72WQEAAKB5kVihluKK4B637tOhTYzSE6PkrjK0fNtBs8MBAABAiCOxQi3Oww4IDma191ntMzkaAAAAhDoSK9QSKhUrSRpSs8+Kg4IBAADQ3EisUEsojFv38VWsftpZpJJKj8nRAAAAIJSRWKGWQ62AwV+xymodo8xW0aryGlqae8DscAAAABDCSKxQi68VMBQqVpI0jLHrAAAAaAEkVvBzebyqcHslhVJilSxJ+nYzAywAAADQfEis4OerVklSXAgMr5CkYV2rK1Zrdjt1oNRlcjQAAAAIVSRW8PPtr4qLtMtmtZgcTdNIiY9Sdmq8DEP6jqoVAAAAmgmJFfwOTQQMjWqVz4hu1e2A32wksQIAAEDzILGCX3FNxSo+RPZX+fgSq6837pNhGCZHAwAAgFBEYgU/p28iYAiMWj/c4E6tFWGzaFdhubbtLzM7HAAAAIQgEiv4+YZXhFrFKsZh14D2rSRJX2+iHRAAAABNj8QKfs7ymsOBQ2yPlSSd4t9ntdfkSAAAABCKSKzgd6gVMLQqVpI0vGt1YvXd5v2q8rLPCgAAAE2LxAp+h4ZXhF7Fql9mkhKi7Cqu8GjlzkKzwwEAAECIIbGC36Fx66FXsbJZLRrWhbHrAAAAaB4kVvBzhui4dZ/hvn1WDLAAAABAEyOxgl+ojlv3OaVmn9UP2w+qtNJjcjQAAAAIJSRW8AvlVkBJ6tAmRpmtouWuMvT91gNmhwMAAIAQQmIFv1AeXiFJFotFI7rSDggAAICmR2IFv1Aet+4zohsDLAAAAND0SKwgSfJ6DZVUhnbFSpKGdUmWxSLlFBRrT3GF2eEAAAAgRJBYQZJU4vLIqDk3N1T3WElS61iHemckSJK+pR0QAAAATYTECpIODa5w2K2KirCZHE3zGtG1rSTpa9oBAQAA0ERIrCDp0OCKhBBuA/TxDbD4dtM+Gb4yHQAAANAIJFaQFPqj1g93UsdWirRbVeCs1KY9JWaHAwAAgBBAYgVJoT9q/XBRETad3Km1JNoBAQAA0DRIrCApPEatH274Ye2AAAAAQGORWEFSeLUCSof2WS3esl/uKq/J0QAAACDYkVhBUni1AkpSr/QEtY51qNRVpR+3F5odDgAAAIIciRUkhV8roNVq0bAubSRJ39AOCAAAgEYisYKkwypWkeFRsZKkU7pVtwN+s3GvyZEAAAAg2JFYQVL4VawkaUS36oOCf9pZ5H/9AAAAwPEgsYIkyVlec0BwdPhUrNolRatTcqyqvIYWb95vdjgAAAAIYiRWkCQV11Rs4iPDp2IlHZoOyD4rAAAANAaJFSRJzgpfxSrMEiv/PisSKwAAABw/EitIOqxiFSbj1n2GdG4jq0Xasq9UuwrLzQ4HAAAAQYrECjIM47A9VuFVsUqMjlD/rCRJ0rdUrQAAAHCcSKygSo9XriqvJCkhzCpWknRKzT6rr9lnBQAAgONEYgX/qHGLRYp1hF9iNbwmsfpu0z55vYbJ0QAAACAYkVjB3wYYH2mX1WoxOZqWd2L7Vopx2LS/1KV1+U6zwwEAAEAQIrHCYYMrwmt/lY/DbtWQzm0kMR0QAAAAx4fECmE7av1wwznPCgAAAI1AYgU5y6srVuE4uMLnlJrzrL7fekAV7iqTowEAAECwIbGCimsqVuHaCihJ3VLilBIfqUqPV8u3HTQ7HAAAAAQZEiv4pwImRIdvxcpiseiUbm0lSfPX7zE5GgAAAAQbEisc1goYvhUrSRrdM0WSNGddgQyDsesAAACoPxIr+FsBw3mPlSSd0r2tHDartu0v0+a9JWaHAwAAgCBCYoXDWgHDu2IVF2nX0C7VY9fnrKUdEAAAAPVHYoXDhleEd8VKkkb3SpUkzV1XYHIkAAAACCamJlbTp09Xv379lJCQoISEBA0dOlSfffaZJOnAgQO69tprlZ2drejoaLVv317XXXedioqKjnrNyy67TBaLpdZt3LhxLfFyghZ7rA7x7bP6YftB7SupNDkaAAAABAtTSxSZmZl65JFH1K1bNxmGoddee00TJ07Ujz/+KMMwtHv3bj3++OPq1auXtm3bpquuukq7d+/We++9d9Trjhs3Tq+88or/88jIyOZ+KUHN1woYzuPWfdITo9WnXYJW73Lqy/V7dMFJWWaHBAAAgCBgamJ17rnn1vr8oYce0vTp07V48WJdfvnlev/99/33denSRQ899JAuueQSeTwe2e1HDj0yMlJpaWnNFneo8Q+vCONx64cb3TNVq3c5NXdtAYkVAAAA6iVg9lhVVVXp7bffVmlpqYYOHVrnY4qKipSQkHDUpEqSFixYoJSUFGVnZ+vqq6/W/v37myPkkEErYG2je1bvs/p64z5VuKtMjgYAAADBwPQSxapVqzR06FBVVFQoLi5OM2bMUK9evX7xuH379umBBx7QlVdeedTrjRs3Tuedd546deqkzZs36/bbb9f48eO1aNEi2Wy2Or+nsrJSlZWH9tM4nc7Gvagg4qnyqtRVnTwwvKJa74wEpSdGKa+oQt9t3qfTe6SaHRIAAAACnOkVq+zsbK1YsUJLlizR1VdfrUsvvVRr166t9Rin06mzzz5bvXr10r333nvU61144YWaMGGC+vbtq0mTJmnWrFlaunSpFixYcMTvmTZtmhITE/23rKzwaf8qqfT4P2aPVTWLxeKvWjF2HQAAAPVhemLlcDjUtWtXDRw4UNOmTVP//v311FNP+e8vLi7WuHHjFB8frxkzZigiomGL/86dOys5OVmbNm064mOmTp2qoqIi/23Hjh3H/XqCjW9/VaTdKofd9D8OAcM3dn3eugJ5vYbJ0QAAACDQBVzvl9fr9bflOZ1OjR07VpGRkZo5c6aioqIafL2dO3dq//79Sk9PP+JjIiMjw3ZyoK9iFRcZcH8UTDWkc2vFOmzaU1ypVbuK1D8ryeyQAAAAEMBMLVFMnTpVX331lXJzc7Vq1SpNnTpVCxYs0MUXXyyn06kxY8aotLRUL730kpxOp/Lz85Wfn6+qqkMDBXr06KEZM2ZIkkpKSnTrrbdq8eLFys3N1bx58zRx4kR17dpVY8eONetlBrQyV3ViFUtiVUuk3aaR2W0lcVgwAAAAjs3U1fSePXs0efJk5eXlKTExUf369dPnn3+uM888UwsWLNCSJUskSV27dq31fVu3blXHjh0lSTk5Of5Dg202m1auXKnXXntNhYWFysjI0JgxY/TAAw+EbUXqWEoqq5NUEqtfGt0zVZ+uytectQW6eUy22eEAAAAggJm6mn7ppZeOeN+oUaNkGMfe23L4Y6Kjo/X55583SWzhotTfClj3xMRwdlp2iqwWaX1+sXYcKFNW6xizQwIAAECAYlpBmPPtsYpxULH6uVaxDp3UsbWk6iEWAAAAwJGQWIW5UoZXHNWZNWPX565j7DoAAACOjMQqzJW5fHusaAWsi2/s+uIt++WscJscDQAAAAIViVWY87UCMryibp2SY9Wlbaw8XkMLcvaaHQ4AAAACFIlVmKMV8NjO7JUmSZq7ln1WAAAAqBuJVZijYnVsZ/ZKkSTNz9kjd5XX5GgAAAAQiEiswpyvYhXrYI/VkZyQ1UptYh0qrvBo6dYDZocDAACAAERiFeYODa+gYnUkNqtFp/eorlrNYew6AAAA6kBiFeZoBawf33TAuesK6nVwNQAAAMILiVWYY3hF/ZzSLVkOu1U7DpRrQ0GJ2eEAAAAgwJBYhbnSSloB6yPGYdeIrsmSqqtWAAAAwOFIrMJcCcMr6m10z+p2wDmMXQcAAMDPkFiFMcMwDk0FpGJ1TGf0rB5gsWJHofYUV5gcDQAAAAIJiVUYc1V55fFWD2IgsTq21IQo9c9MlCR9uW6PydEAAAAgkJBYhTHf/iqJVsD68rUDss8KAAAAhyOxCmO+NsCoCKvsNv4o1Idv7PrXG/ep3FV1jEcDAAAgXLCaDmMljFpvsB5p8WqXFK1Kj1ffbNpndjgAAAAIECRWYcxXsYpxkFjVl8Vi0Zm+w4KZDggAAIAaJFZhrNTFGVbHw7fPat76Anlrhn8AAAAgvJFYhbFSfysggysa4uROrRUfade+EpdW7Cw0OxwAAAAEABKrMFbCGVbHxWG3amR2W0m0AwIAAKAaiVUY43Dg4+ffZ8XYdQAAAIjEKqz5EyvOsGqwUd1TZLNatKGgRFv2lpgdDgAAAExGYhXGGF5x/BJjIjSia7Ik6aMVu02OBgAAAGYjsQpjpZxj1Si/OrGdJOnDFbtkGEwHBAAACGckVmGM4RWNM6Z3qmIcNm3bX6YftheaHQ4AAABMRGIVxhhe0TgxDrvG9k6TJH344y6TowEAAICZSKzCWGllzR4rhlcct0k17YCzVu6Wy+M1ORoAAACYhcQqjJW6qFg11vAubZQcF6mDZW59tWGv2eEAAADAJCRWYYzhFY1nt1k18YQMSdKMFbQDAgAAhCsSqzDmbwUksWoU33TAuWsL5KxwmxwNAAAAzEBiFcZK/BUr9lg1Ru+MBHVNiVOlx6vZq/PNDgcAAAAmILEKU4ZhMBWwiVgsFn/VasYPtAMCAACEIxKrMFXp8crjrT7UNsZBYtVYE/pX77NavHW/dheWmxwNAAAAWhqJVZgqc1X5P2bceuNltY7RyZ1ayzCkmT/tNjscAAAAtDASqzDlawOMirDKbuOPQVPwtQNyWDAAAED4YUUdpkoYtd7kzuqTLofNqvX5xVqX5zQ7HAAAALQgEqswxeCKppcYE6HTe6RIomoFAAAQbkiswpSvYsXgiqY1ydcOuGKXqmqGgwAAACD0kViFKd/wCs6walqn9WirxOgIFTgrtXjLfrPDAQAAQAshsQpTJbQCNotIu01n90uXJM2gHRAAACBskFiFKfZYNR/fdMDZq/NVfthYewAAAIQuEqsw5Uus4thj1eQGtm+lzFbRKqn0aO66ArPDAQAAQAsgsQpTJZXVlRQqVk3ParVo0gmcaQUAABBOSKzCVJnL1wrI8Irm4JsOuHDDXu0vqTQ5GgAAADQ3EqswxfCK5tU1JU79MhPl8RqatTLP7HAAAADQzEiswhTDK5qfrx2Q6YAAAAChj8QqTJVWco5Vczu3f4ZsVotW7CjU1n2lZocDAACAZkRiFab8rYBMBWw2beMjNaJrsiSGWAAAAIQ6EqswRStgyzhvQM10wBW7ZBiGydEAAACguZBYhakyF+PWW8KZvVIV47Bp2/4y/bC90OxwAAAA0ExIrMKUrxWQPVbNK8Zh17jeaZJoBwQAAAhlJFZhyDAMWgFbkO9Mq1krd8vl8ZocDQAAAJoDiVUYqvR45fFW7/chsWp+w7q0Udv4SB0sc+urDXvNDgcAAADNgMQqDPmqVZIUE0ErYHOz26ya0D9DkjRjBe2AAAAAoYjEKgz5BldERVhlt/FHoCX8qqYdcO7aAjkr3CZHAwAAgKbGqjoMHRpcQRtgS+mdkaBuKXGq9Hg1e1W+2eEAAACgiZFYhSEGV7Q8i8XiH2Lx3g87TY4GAAAATY3EKgz5KlaxDhKrlnTegHayWqTvtx7QhoJis8MBAABAEyKxCkOlldV7rGgFbFnpidE6s1eqJOk/i7aZHA0AAACaEolVGCp1VVesYjgcuMVdOrSjJOmDH3aqmCEWAAAAIYPEKgyxx8o8Q7u0UdeUOJW6qvTBD4xeBwAACBUkVmHIl1jFsceqxVksFk0e2kGS9PqiXBmGYXJEAAAAaAokVmGopGaPFRUrc/zqxHaKddi0eW+pvtu83+xwAAAA0ARIrMKQv2LFHitTxEdF6LwBmZKqq1YAAAAIfiRWYciXWMVQsTKNrx1wztoC7SosNzkaAAAANBaJVRjyTQWkFdA83VLjNbRzG3kN6c0ljF4HAAAIdiRWYejQOVa0AprJV7V6+/sdqvRUmRwNAAAAGoPEKgyV+MatMxXQVGf2SlV6YpT2l7r02ap8s8MBAABAI5BYhaFDwytIrMxkt1l10cntJUmvMcQCAAAgqJFYhSEOCA4cF57cXhE2i37cXqhVO4vMDgcAAADHydTEavr06erXr58SEhKUkJCgoUOH6rPPPvPfX1FRoSlTpqhNmzaKi4vT+eefr4KCgqNe0zAM3X333UpPT1d0dLRGjx6tjRs3NvdLCSqlLt85VuyxMlvb+Eid1TddEqPXAQAAgpmpiVVmZqYeeeQRLV++XMuWLdPpp5+uiRMnas2aNZKkG2+8UR9//LHeffddLVy4ULt379Z555131Gs+9thjevrpp/Xcc89pyZIlio2N1dixY1VRUdESLyngGYZBxSrA+IZYzPxptw6WukyOBgAAAMfDYhiGYXYQh2vdurX+9re/6de//rXatm2rN998U7/+9a8lSevXr1fPnj21aNEiDRky5BffaxiGMjIydPPNN+uWW26RJBUVFSk1NVWvvvqqLrzwwnrF4HQ6lZiYqKKiIiUkJDTdiwsAFe4q9bhrtiRp5b1jlBAVYXJEMAxD5zzzjdbsdur2s3roylO7mB0SAAAAatQ3NwiYPVZVVVV6++23VVpaqqFDh2r58uVyu90aPXq0/zE9evRQ+/bttWjRojqvsXXrVuXn59f6nsTERA0ePPiI3yNJlZWVcjqdtW6hyletkpgKGCgsFou/avWfxdtU5Q2o9zoAAABQD6YnVqtWrVJcXJwiIyN11VVXacaMGerVq5fy8/PlcDiUlJRU6/GpqanKz697NLXv66mpqfX+HkmaNm2aEhMT/besrKzGvagA5jvDKjrCJpvVYnI08JnQv50SoyO040C5Fm7YY3Y4AAAAaCDTE6vs7GytWLFCS5Ys0dVXX61LL71Ua9eubdEYpk6dqqKiIv9tx44dLfr8LanU5dtfxeCKQBLtsOmCkzIlSa8v2mZyNAAAAGgo0xMrh8Ohrl27auDAgZo2bZr69++vp556SmlpaXK5XCosLKz1+IKCAqWlpdV5Ld/Xfz458GjfI0mRkZH+yYS+W6hicEXgumRIB1ks0oKcvcrdV2p2OAAAAGgA0xOrn/N6vaqsrNTAgQMVERGhefPm+e/LycnR9u3bNXTo0Dq/t1OnTkpLS6v1PU6nU0uWLDni94SbEl9ixf6qgNOhTaxGdW8rSXpjMVUrAACAYGJqYjV16lR99dVXys3N1apVqzR16lQtWLBAF198sRITE3X55Zfrpptu0vz587V8+XL9/ve/19ChQ2tNBOzRo4dmzJghqXoIwA033KAHH3xQM2fO1KpVqzR58mRlZGRo0qRJJr3KwOLbYxVHxSogTR7aUZL0v2U7VF5z3hgAAAACn6mr6z179mjy5MnKy8tTYmKi+vXrp88//1xnnnmmJOmJJ56Q1WrV+eefr8rKSo0dO1bPPvtsrWvk5OSoqKjI//ltt92m0tJSXXnllSosLNSIESM0e/ZsRUVFtehrC1SHWgHZYxWIRnZvq/atY7T9QJk+WrFLF57c3uyQAAAAUA8Bd45VIAjlc6xe+Xar7vt4rc7pl65/XjTA7HBQhxe+2qKHPl2nXukJ+uS6EbJYmN4IAABglqA7xwoto5Q9VgHvNydlKtJu1do8p5ZvO2h2OAAAAKgHEqswU1Kzx4qpgIErKcahiSdkSGL0OgAAQLAgsQozvopVHHusAppviMVnq/O0p7jC3GAAAABwTCRWYYZzrIJDn3aJGtA+Se4qQ29/H7oHVgMAAIQKEqswU0JiFTQuHdZRkvTmku1yV3nNDQYAAABHRWIVZspcvj1WtAIGunF90pQc51C+s0Jz1haYHQ4AAACOgsQqzJQwFTBoRNptunBQ9TlWry/KNTcYAAAAHBWJVZg5NLyCxCoYXDS4vWxWixZvOaB1eU6zwwEAAMARkFiFGYZXBJeMpGiN65MmSXpu4WaTowEAAMCRkFiFGYZXBJ+rR3aRJH38025t319mcjQAAACoC4lVGDEMg+EVQahPu0Sd2r2tvIb0wtdbzA4HAAAAdSCxCiOVHq88XkMSFatg46ta/W/ZDu0trjQ5GgAAAPwciVUY8e2vkpgKGGyGdG6tE9snqdLj1SvfbjU7HAAAAPwMiVUYKa2sbgOMjrDJZrWYHA0awmKx+KtW/1m0Tc4Kt8kRAQAA4HAkVmGEwRXBbXTPVHVLiVNxpUf/Xbzd7HAAAABwGBKrMFLm8p1hxeCKYGS1WnRVTdXqpW+2qsJdZXJEAAAA8CGxCiO+ilUM+6uC1oQTMtQuKVr7Sir13vKdZocDAACAGiRWYcS3xyqOVsCgFWGz6opTOkmS/v3VFnmqvCZHBAAAAInEKqyU+vdY0QoYzP5vUHu1jnVo+4EyfbIqz+xwAAAAIBKrsMLwitAQ7bDp98M6SpKmL9gswzDMDQgAAAAkVuHEV7GiFTD4TR7aUbEOm9bnF2tBzl6zwwEAAAh7JFZhpNRVvceK4RXBLzEmQhcP6SCpumoFAAAAczUosVq3bp3uuecenX766erSpYvS09PVr18/XXrppXrzzTdVWVnZXHGiCRyqWLHHKhRcPqKTHDarvs89oGW5B8wOBwAAIKzVK7H64YcfNHr0aJ144on65ptvNHjwYN1www164IEHdMkll8gwDN1xxx3KyMjQo48+SoIVoErZYxVSUhOidN6AdpKoWgEAAJitXivs888/X7feeqvee+89JSUlHfFxixYt0lNPPaW///3vuv3225sqRjQRhleEnj+N7KJ3lu3QvPV7tD7fqR5pCWaHBAAAEJbqtcLesGGDIiIijvm4oUOHaujQoXK73Y0ODE2v1MXwilDTKTlWZ/VJ1yer8vTcgs168sITzQ4JAAAgLNWrFbA+SVVjHo+W4TsgmIpVaLl6VBdJ0scr87TjQJnJ0QAAAISn41phL126VPPnz9eePXvk9Xpr3fePf/yjSQJD0/PvsXIwvCKU9GmXqFO6Jevrjfv076+26IFJfcwOCQAAIOw0OLF6+OGHdeeddyo7O1upqamyWCz++w7/GIGH4RWh6+pRXfT1xn3637Iduu6MbmobH2l2SAAAAGGlwSvsp556Si+//LIuu+yyZggHzYnhFaFraOc2OiErSSt2FOqVb7fqtnE9zA4JAAAgrDT4gGCr1arhw4c3RyxoRoZh+A8IZnhF6LFYLP69Vv9ZtE3OCgbIAAAAtKQGJ1Y33nij/vWvfzVHLGhGlR6vqryGJCmWA4JD0pk9U9U1JU7FlR79d/F2s8MBAAAIKw0uXdxyyy06++yz1aVLF/Xq1esXEwA/+OCDJgsOTce3v0qSYhxUrEKR1WrRVSO76JZ3f9JL32zV74d3VFQESTQAAEBLaHDF6rrrrtP8+fPVvXt3tWnTRomJibVuCEy+UevRETbZrAwZCVUTT8hQRmKU9pVU6v0fdpodDgAAQNhocOnitdde0/vvv6+zzz67OeJBM2FwRXiIsFl1xamddd/Ha/X8wi36v5OyZLc1+P0TAAAANFCDV1ytW7dWly5dmiMWNKNSV3ViFcf+qpD3f4Oy1ComQtsPlOnT1flmhwMAABAWGpxY3XvvvbrnnntUVlbWHPGgmVCxCh8xDrt+P7yTJGn6gs0yDMPkiAAAAEJfg1fZTz/9tDZv3qzU1FR17NjxF8MrfvjhhyYLDk2nrGaPVSyDK8LC5KEd9PzCzVqX59TcdXt0Zq9Us0MCAAAIaQ1eZU+aNKkZwkBzK/VXrGgFDAdJMQ79bmhHPbdws/7+RY7O6JEiK0NLAAAAmk2DE6t77rmnOeJAM6MVMPxcNbKz/rt4m9bnF+vT1Xk6p1+G2SEBAACErHrtsWKPRvArqxleQStg+EiKcejyU6r3Wv1jzgZ5qrwmRwQAABC66pVY9e7dW2+//bZcLtdRH7dx40ZdffXVeuSRR5okODQdl6d6UR0ZwejtcHL5iE5qFROhLXtLNePHXWaHAwAAELLqVb545pln9Je//EV//vOfdeaZZ+qkk05SRkaGoqKidPDgQa1du1bffPON1qxZo2uuuUZXX311c8eNBnJVVVcdIzjTKKzER0XoqpFdNO2z9Xpq3kZNPKGdHHb+DAAAADS1eiVWZ5xxhpYtW6ZvvvlG77zzjv773/9q27ZtKi8vV3Jysk488URNnjxZF198sVq1atXcMeM4+NrASKzCz+ShHfXiN1u182C53lm6Xb8b2tHskAAAAEJOgzbcjBgxQiNGjGiuWNCM3P7Eislw4SbaYdO1p3fV3R+t0TNfbtKvB2Yp2sF0SAAAgKZE+SJM0AoY3v5vUJbaJUVrT3Gl3li8zexwAAAAQg6r7DBBK2B4i7TbdP0Z3SRJ0xdu9o/fBwAAQNNglR0maAXEeQPaqXNyrA6UuvTyN1vNDgcAACCkkFiFCTetgGHPbrPqhjO7S5Je+GqLCsuOfnwCAAAA6o9Vdphw0QoISef0TVePtHgVV3r0/FdbzA4HAAAgZNR7le10Out1Q2Dy0AoISVarRTePyZYkvfptrvYUV5gcEQAAQGio97j1pKQkWSxHXpQbhiGLxaKqqqomCQxNi1ZA+IzumaL+WUn6aUehnp2/WfdO6G12SAAAAEGv3onV/Pnz/R8bhqGzzjpLL774otq1a9csgaFp0QoIH4vFolvGdNfvXvpeby7ZritP7ayMpGizwwIAAAhq9U6sRo4cWetzm82mIUOGqHPnzk0eFJoeUwFxuBFdkzW4U2st2XpAz3y5UdPO62d2SAAAAEGN8kWY8PhaAe38yFFdtbp1bPVeq/8t26ncfaUmRwQAABDcWGWHCX/FysqPHNVO6thao7Lbqspr6Mm5G8wOBwAAIKg1apV9tGEWCCwuWgFRh1tqJgR+9NNu5eQXmxwNAABA8Kr3Hqvzzjuv1ucVFRW66qqrFBsbW+vrH3zwQdNEhiZFKyDq0qddosb3SdNnq/P1jzk5ev53J5kdEgAAQFCqd2KVmJhY6/NLLrmkyYNB86EVEEdy45ndNXtNvj5fU6BVO4vUNzPx2N8EAACAWuqdWL3yyivNGQeamT+xstMKiNq6p8Zr0gntNOPHXXr8ixy99oeTzQ4JAAAg6FC+CBMuD+dY4chuGN1NdqtFCzfs1dLcA2aHAwAAEHRYZYcJj7d6j5WDxAp16NAmVr85KUuS9LfPc2QYhskRAQAABBdW2WHC1wpoZyogjuC6M7rKYbfq+60H9PXGfWaHAwAAEFRIrMKAYRhy+6YCUrHCEaQnRuuSwR0kSY9/QdUKAACgIVhlhwFfG6BEYoWju3pUF0VH2LRyZ5G+WFtgdjgAAABBg1V2GPC1AUrsscLRtY2P1O+Hd5Qk/eOLDaryUrUCAACoD1bZYcDtObQ4Zo8VjuVPp3ZRfJRdOQXFevHrLWaHAwAAEBRIrMKA67CKld1KYoWjS4yJ0J1n95Qk/f2LDdpQUGxyRAAAAIGPxCoMeLzViZXDZpXFQmKFY7vgpCydlt1WriqvbvrfilrtpAAAAPglEqsw4GsFpA0Q9WWxWPTI+f2UGB2h1bucenb+ZrNDAgAACGimJlbTpk3ToEGDFB8fr5SUFE2aNEk5OTn++3Nzc2WxWOq8vfvuu0e87mWXXfaLx48bN64lXlJA8rUCMhEQDZGaEKX7J/aWJD3z5Uat3lVkckQAAACBy9SV9sKFCzVlyhQtXrxYc+bMkdvt1pgxY1RaWipJysrKUl5eXq3bfffdp7i4OI0fP/6o1x43blyt73vrrbda4iUFJDeJFY7ThP4ZOqtvmjxeQzf9b4UqPVVmhwQAABCQ7GY++ezZs2t9/uqrryolJUXLly/XqaeeKpvNprS0tFqPmTFjhi644ALFxcUd9dqRkZG/+N5w5ak5HNhBKyAayGKx6IGJfbRkywFtKCjRk3M36i/jepgdFgAAQMAJqBJGUVF1q1Hr1q3rvH/58uVasWKFLr/88mNea8GCBUpJSVF2drauvvpq7d+//4iPrayslNPprHULJb5WQDsVKxyHNnGRevi8vpKk5xdu1vJtB02OCAAAIPAEzErb6/Xqhhtu0PDhw9WnT586H/PSSy+pZ8+eGjZs2FGvNW7cOL3++uuaN2+eHn30US1cuFDjx49XVVXdbUzTpk1TYmKi/5aVldXo1xNIDrUCUrHC8RnbO03nndhOXkO65d2fVO6iJRAAAOBwAZNYTZkyRatXr9bbb79d5/3l5eV6880361WtuvDCCzVhwgT17dtXkyZN0qxZs7R06VItWLCgzsdPnTpVRUVF/tuOHTsa81ICjq8VkD1WaIx7zu2ttIQobd1Xqkdnrzc7HAAAgIASECvta665RrNmzdL8+fOVmZlZ52Pee+89lZWVafLkyQ2+fufOnZWcnKxNmzbVeX9kZKQSEhJq3UKJr2LlsAfEjxtBKjEmQo+cX90S+Op3ufpu8z6TIwIAAAgcpq60DcPQNddcoxkzZujLL79Up06djvjYl156SRMmTFDbtm0b/Dw7d+7U/v37lZ6e3phwg5Z/j5WVVkA0zqjsFP325PaSpFvfXamSSo/JEQEAAAQGUxOrKVOm6I033tCbb76p+Ph45efnKz8/X+Xl5bUet2nTJn311Vf64x//WOd1evTooRkzZkiSSkpKdOutt2rx4sXKzc3VvHnzNHHiRHXt2lVjx45t9tcUiBi3jqZ0x9k9ldkqWrsKy/XQJ2vNDgcAACAgmLrSnj59uoqKijRq1Cilp6f7b++8806tx7388svKzMzUmDFj6rxOTk6Of6KgzWbTypUrNWHCBHXv3l2XX365Bg4cqK+//lqRkZHN/poCkX/cOq2AaAJxkXY9/pv+kqS3vt+h+Tl7TI4IAADAfBbDMAyzgwg0TqdTiYmJKioqCon9Vv9btkO3vbdSp2W31Su/P9nscBAi7vt4jV75NlepCZH64oaRSoyJMDskAACAJlff3IASRhigFRDN4baxPdQ5OVYFzkrd+/Eas8MBAAAwFSvtMOD21CRWtAKiCUU7bHr8gv6yWqQZP+7S7NX5ZocEAABgGlbaYcDjrdljRcUKTWxA+1a6amQXSdIdM1Zpf0mlyREBAACYg5V2GGDcOprT9aO7qUdavPaXunTHjNVi2yYAAAhHJFZhwO2pXujSCojmEGm36fHf9JfdatHsNfma+dNus0MCAABocay0w4DHW12xohUQzaVPu0Rdd0Y3SdJdH65WgbPC5IgAAABaFivtMEArIFrC1aO6qF9mopwVHv31/ZW0BAI/U+Cs0F/fX6nZq/PMDgUA0AxIrMIArYBoCRE2q/7+m/5y2K2an7NX/1u2w+yQgICxfX+ZfvPcIr29dIemvPmjvt20z+yQAABNjJV2GOAcK7SUbqnxuvnM7pKkJ+Zs9P/ZA8LZhoJi/fq577T9QJkcNquqvIb+/N8ftHVfqdmhAQCaECvtMHBojxWtgGh+lw3vqOS4SOU7K/QZZ1shzP20o1AXPL9Ie4orlZ0ar3k3j9QJWUkqKnfrj68tlbPCbXaIAIAmQmIVBlw1rYB2KlZoAZF2my4Z0l6S9Mq3W02OBjDPos37ddELi1VY5tYJWUl6509DlNU6Rv/+3UClJURp895SXfvmj6rysh8RAEIBK+0wQCsgWtrFgzvIYbPqx+2FWrGj0OxwgBY3d22BLn3le5W6qjSsSxv994+DlRTjkCSlJETphcknKSrCqoUb9uqRz9aZHC0AoCmw0g4DtAKipbWNj9Q5/dMlUbVC+PloxS796Y3lcnm8OrNXql6+bJBiI+21HtM3M1F/+3V/SdILX2/Ve8t3mhEqAKAJkViFAV8rIBUrtKQ/DO8kSfpkZR7nWiFs/GfxNt3wzgpVeQ2dd2I7Tb94gKIibHU+9tz+Gbr29K6SpNs/WKXl2w60ZKgAgCbGSjsM+FoB2WOFltSnXaIGdWwlj9fQG4u3mR0O0OyeXbBJd324WoYhXTq0gx7/Tf9j/rt74+juGts7Va4qr/70n+XaVVjeQtECAJoaK+0wcGiPFa2AaFm/r6la/XfJdlW4q0yOBmgehmHokc/W67HZOZKka0/vqnsn9Ja1HoeyW60W/eOCE9QjLV77Sly64rVlKnN5mjtkAEAzILEKA56q6lZABxUrtLAxvVLVLilaB0pdmrlit9nhAE2uymvojg9X67mFmyVJd5zVUzePyZbFUv83smIj7Xrx0pPUJtahtXlO3fy/n+RlUiAABB1W2mHARSsgTGK3WfW7oR0kSS9/u1WGwWIRocNd5dWN76zQm0u2y2KRHjmvr644tfNxXSuzVYye+91ARdgs+mx1vp6at7GJowUANDdW2mGAVkCY6cJBWYqKsGp9frEWb2FzPkJDhbtKf/rPcs38abcibBY989sTdeHJ7Rt1zUEdW+uhSX0lSU/N26hPVuY1RagAgBZCYhUGfIkVrYAwQ1KMQ+cNyJTE6HWEhuIKty59+Xt9uX6PoiKs+vfkk3ROv4wmufYFg7L8EzVvfneFVu8qapLrAgCaHyvtMODbYxVh58cNc/x+WEdJ0px1BdpxoMzcYIBGenreRi3ZekDxkXa9/ofBOi07pUmvf/tZPXRq97aqcHt15evLtKeY4woAIBiw0g4D/j1W9ZhQBTSHbqnxOqVbsgxDeu27XLPDARpl454SSdJfxvfQyZ1aN/n17TarnvntiercNla7iyp01X+Wq9LDVE0ACHQkVmHg0B4rftwwj6+96Z1lO1RayThpBK/CMrckKSU+stmeIzE6Qi9OPkkJUXb9sL1Qt3+wmuEvABDgWGmHAf+4dVoBYaKR3duqc3Ksiis8ev+HnWaHAxw3Z3l1YpUYHdGsz9O5bZz+dfEA2awWvf/DTr34NXsUASCQsdIOAy4qVggAVqtFl9bstXr121zO6UHQKqxJrJJiHM3+XKd0a6s7z+4pSXr4s3Wav35Psz8nAOD4sNIOA272WCFAnD8wU/GRdm3ZV6qFG/eaHQ7QYIZhqKiFKlY+lw3rqAsHZckwpOve+lGb9hS3yPMCABqGxCoMuGkFRICIi7TrgkFZkqRXvs01NxjgOJRUelRVU21NimmZxMpisej+iX10csfWKq706JZ3V7LfCgACECvtEOf1Gv5FAK2ACASXDu0oi0X6asNebaqZrgYEC1+1ymG3KirC1mLP67Bb9c+LTlSMw6YVOwo186fdLfbcAID6YaUd4txer/9ju41WQJivfZsYje6ZKkl69Ts24yO4+CYCJrVQG+DhUhKiNOW0rpKkRz9br3IXI9gBIJCQWIU4XxugJDmoWCFA/H54R0nS+8t3qahmoQoEg5aaCHgkl4/opHZJ0dpdVKEXvt5iSgwAgLqx0g5xbs+hihWtgAgUQzu3UY+0eJW7q/T20u1mhwPU26GJgOYkVlERNv11fA9J0vQFm1XgrDAlDgDAL7HSDnG+VkCrRbIxFRABwmKx+KtWry/aJk+V9+jfAAQIXyugWRUrSTqnX7oGdmilcneVHpudY1ocAIDaSKxCnK8V0E61CgFm4gnt1ComQrsKyzVnbYHZ4QD1cmjUevOfYXUkFotFd53TS5L0/g87tWpnkWmxAAAOYbUd4nytgOyvQqCJirDp4sEdJDF6HcGjsNwlydyKlSSdkJWkX53YTpJ0/6w1jF8HgADAajvEeWpaASOYCIgA9LuhHWS3WvR97gGt3sW77gh8TpP3WB3utnHZioqwamnuQX22Ot/scAAg7JFYhTiXhzOsELhSE6J0Vt90SVStEBz849YDILFKT4zWn07tIkl6+NN1qnAzfh0AzMRqO8S5q3wVK37UCEy+IRYf/7Rbe4srzQ0GOIYik8et/9yfRnZWakKkdh4s580JADAZq+0QdyixohUQgenE9q10QlaSXFVevbmE0esIbIEwFfBwMQ67/jKuevz6v+Zv4s0JADARiVWI800FpGKFQOarWr2xZJtcHkavI3AFWsVKkiad0E79MhNVUunRP+Ywfh0AzMJqO8T5KlaMW0cgO6tvulITIrW3uFKfrNptdjjAERX5h1eYN27956xWi+6uGb/+ztIdWrvbaXJEABCeWG2HOF9i5aAVEAEswmbV74YcGr3O6GgEIneVVyWVHkmBVbGSpJM6ttbZ/dLlNaQHP1nL3yEAMAGJVYijFRDB4rcnt5fDbtXKnUX6YftBs8MBfsE3al2SEqLsJkZSt7+O6yGH3arvNu/X3HV7zA4HAMIOq+0Qx1RABIs2cZGadEKGJOllppshAPnaAOMj7QHZXp3VOkZ/HNFJkvTQJ2vZrwgALSzw/mdAkzq0x4pWQAS+3w+vXhTOXp2v3YXlJkcD1FboG1wRAGdYHcmfT+uq5LhI5e4v0+uLcs0OBwDCColViDu0x4ofNQJfz/QEDencWlVeQ/9ZvM3scIBaigJs1Hpd4iLtunVsd0nSU/M26kCpy+SIACB8sNoOceyxQrDxVa3eXLJd5a4qk6MBDjk0ETBwEytJ+vXALPVKT1BxhUdPzt1gdjgAEDZYbYc4WgERbEb3TFVW62gVlbs148ddZocD+BWWVVd/kqIDZ9R6XWxWi+48p6ck6b9LtmtjQbHJEQFAeCCxCnG0AiLY2KwWXTq0oyTp1e+2MjYaAaOovHrUekIAtwL6DOuSrDG9UlXlNfTgJ+vMDgcAwgKr7RBHKyCC0QWDshTrsGlDQYm+3bTf7HAASVJheU3FKsBbAX1uP6unImwWLdywV/NzGL8OAM2N1XaI849bt9MKiOCREBWhXw/MlCS98u1Wk6MBqvn2WAXy8IrDdUyO1WXDOkqSHvpknf//AwBA8yCxCnH+PVZWftQILpfWLAi/zNmj+et5tx3m800FTAqSxEqSrjm9m1rHOrRpT4neXLLd7HAAIKSx2g5xvlZAh50fNYJL57ZxunhwexmGdO1bP2oDG/BhsmCrWEnVsd54ZvX49SfmbvAnhwCApsdqO8T5WwGZCoggdM+5vTW4U2uVVHp0+WtLOZMHpgqGA4Lr8ttBWeqeGqfCMreemrfR7HAAIGSRWIW4Q4kVP2oEH4fdqucuGaj2rWO040C5rnpjuVwe9onAHMFYsZIku82qO8/uJUl6fVGutuwtMTkiAAhNrLZDnNvDVEAEt1axDr106UmKj7Tr+60HdOeHqxjBjhZnGMahPVYxgX2OVV1O7d5Wp2W3lcdr6OFP15sdDgCEJFbbIY5WQISCbqnxevqiE2W1SP9btlMvfcOkQLSsCrdXrpp/T4OtYuVzx9m9ZLNaNHddgb7dtM/scAAg5JBYhTi3l4oVQsNp2Sm6o6ad6eFP1+nL9QUmR4Rw4jvDym61KNZhMzma49M1JU6/G9JBkvTArLWq8lL5BYCmxGo7xLlr9qPYSawQAv4wvKN+e3KWvIZ03VsrmBSIFlNYdmh/lcUSvB0A15/RTYnREVqfX6x3lu4wOxwACCmstkOcrxXQQSsgQoDFYtF9E/owKRAtrihIJwL+XKtYh64/o5sk6e9f5MhZwfh1AGgqJFYhzsVUQIQY36TADm1qJgX+h0mBaH6FQXg48JH8bmgHdU6O1f5Sl56ey/h1AGgqrLZDnKeKPVYIPbUmBeYyKRDNzxmko9brEmGz6s5zekqSXvp2qxZu2GtyRAAQGlhthzimAiJUdU2J1zNMCkQL8Q2vCMZR63U5vUeqLhrcXoYh3fTOChU4K8wOCQCCHolViOOAYISyUdkp/oNPH2JSIJpRsB4OfDR3n9NLPdMTtL/Upeve+lGeKlpqAaAxWG2HODetgAhxv6+ZFGjUTArMyWdSIJre4VMBQ0VUhE3/uuhExTpsWrL1gJ6ex34rAGgMVtshjooVQp1vUuCQzocmBe4vqTQ7LISYUKxYSVLntnF6+Ly+kqRn5m/SNxs5OBgAjher7RDHHiuEA4fdqukXV08K3HmwXFe/8QOTAtGkfIlVUpCPW6/LxBPa+au+N7zzo/aw3woAjguJVYijFRDh4ueTAu+YwaRANJ1QrVj53HNub/VIi9e+Epeuf3uFqrz83QGAhmK1HeJoBUQ4OXxS4LvLd+rFr5kUiKbhP8cqBCtWUvV+q39eNEAxDpsWbdmvZ75kvxUANBSr7RBHKyDCzeGTAh/+bJ3mrWNSIBov1CtWktQ1JU4PTuojSXpq3kZ9t4n9VgDQECRWIY5WQISj6kmB7WsmBf7IpEA0SpXXkLPCl1iFxjlWR3LegExdcFKmDEO6/p0V2lvMIBgAqC9W2yHOX7Gy86NG+LBYLLp/Ym8N6dxapa4qJgWiUYor3PJt1wvlipXPfRP6qHtqnPYWV+rGd9hvBQD1Zepqe9q0aRo0aJDi4+OVkpKiSZMmKScnp9ZjRo0aJYvFUut21VVXHfW6hmHo7rvvVnp6uqKjozV69Ght3Bie/eK0AiJcRdhqTwq86o3lqvRUmR0WgpCvDTDGYZMjDN6kinbY9K+LBig6wqZvNu3Ts/M3mR0SAAQFU/+HWLhwoaZMmaLFixdrzpw5crvdGjNmjEpLS2s97oorrlBeXp7/9thjjx31uo899piefvppPffcc1qyZIliY2M1duxYVVSE1wjZKq8h3xuNEdbQXwwAP3f4pMCluQd154zVTApEg/kHV4RBtcqnW2q87p/YW5L0xNwNWrxlv8kRAUDgM3W1PXv2bF122WXq3bu3+vfvr1dffVXbt2/X8uXLaz0uJiZGaWlp/ltCQsIRr2kYhp588kndeeedmjhxovr166fXX39du3fv1ocfftjMryiw+KpVEq2ACF8/nxT4wtdbzA4JQcZXsUoIo8RKkn5zUpbOH5Apb81exX200wLAUQXUaruoqEiS1Lp161pf/+9//6vk5GT16dNHU6dOVVlZ2RGvsXXrVuXn52v06NH+ryUmJmrw4MFatGhRnd9TWVkpp9NZ6xYKaiVWtAIijI3KTtFd51RPCpz22XptKGCYBeqvMIQPBz6WByb1VteUOO2p2W/lZb8VABxRwCRWXq9XN9xwg4YPH64+ffr4v37RRRfpjTfe0Pz58zV16lT95z//0SWXXHLE6+Tn50uSUlNTa309NTXVf9/PTZs2TYmJif5bVlZWE7wi8/kmAkq0AgKXDeuo0T1TZRjScws3mx0Ogkg4jFo/khiHXf+6aICiIqz6euM+TefvDgAcUcCstqdMmaLVq1fr7bffrvX1K6+8UmPHjlXfvn118cUX6/XXX9eMGTO0eXPT/eM+depUFRUV+W87duxosmubyVexslktslqpWCG8WSwWXXN6V0nSzBW7tauw3OSIECyKylySpKQQH7V+JNlp8bp/QvUbnn//Ikffbz1gckQAEJgCIrG65pprNGvWLM2fP1+ZmZlHfezgwYMlSZs21T2lKC0tTZJUUFD7UNCCggL/fT8XGRmphISEWrdQ4PIwERA43AlZSRrauY08XkMvstcK9eSvWIVhK6DPb07K1K9ObOffb3Wg1GV2SAAQcExNrAzD0DXXXKMZM2boyy+/VKdOnY75PStWrJAkpaen13l/p06dlJaWpnnz5vm/5nQ6tWTJEg0dOrRJ4g4WHi+HAwM/d/WoLpKkt7/foYMsDlEPvqmA4dgK6GOxWPTgpD7q3DZW+c4K3fQ/9lsBwM+ZuuKeMmWK3njjDb355puKj49Xfn6+8vPzVV5e3aKzefNmPfDAA1q+fLlyc3M1c+ZMTZ48Waeeeqr69evnv06PHj00Y8YMSdX/+N9www168MEHNXPmTK1atUqTJ09WRkaGJk2aZMbLNM2hM6xIrACfU7olq3dGgsrdVXptUa7Z4SAIhPMeq8PFRlbvt4q0W7UgZ6/+TdUXAGoxdcU9ffp0FRUVadSoUUpPT/ff3nnnHUmSw+HQ3LlzNWbMGPXo0UM333yzzj//fH388ce1rpOTk+OfKChJt912m6699lpdeeWVGjRokEpKSjR79mxFRUW16OszG62AwC9ZLBZdNbK6avXad7kqc3lMjgiBLpynAv5cz/QE3Tuh+nyrv32eo2W57LcCAB+7mU9+rIM6s7KytHDhwgZfx2Kx6P7779f999/fqPiCHa2AQN3G90lT+9Yx2n6gTO8s3aHfDz92GzLCl5OKVS0XDsrSos37NfOn3br2rR/16XWnqFVseA72AIDDseIOYb5WQAeJFVCL3WbVlad2liS9+PXWWme+AT/n22MVrlMBf85isejh8/qqU3Ks8ooqdMu7Px3zjVIACAesuEOYu6YV0E4rIPALvx6YqeQ4h3YVluvjn3abHQ4CWGF5zbh1WgH94iLt+udFJ8pht2re+j168eutZocEAKYjsQphLoZXAEcUFWHztwA+t3AzE85Qpwp3lSrc1f+WJtAKWEvvjETdfU4vSdKjs9frh+0HTY4IAMzFijuEearYYwUczSVDOigu0q4NBSWan7PH7HAQgHz7q6wWKT7S1G3JAeniwe11dr90ebyGrn3zR4bBAAhrrLhD2KFx67QCAnVJjI7QxYPbS6quWgE/5xu1nhAdIauVf0t/zmKx6JHz+qpdUrR2FZbr9UXbzA4JAExDYhXCaAUEju0PIzrJYbNqae5BRkfjF/yj1mkDPKL4qAjdeGZ3SdVvUBRXuE2OCADMwYo7hNEKCBxbakKUzhvQThJVK/xSURmj1utj0gkZ6tw2VoVlbr38Ta7Z4QCAKVhxhzA3FSugXq48tbMsFmnuuj3KyS82OxwEEF/FKjGGUetHY7dZdcPo6qrVi19vUWGZy+SIAKDlseIOYeyxAuqnc9s4jeudJkl6/iuqVjikiMOB6+2cvunKTo1XcaVHL3y9xexwAKDFkViFMBetgEC9XTWyiyRp5ord2lVYbnI0CBRFNZUX9lgdm9Vq8e+1euXbXO0vqTQ5IgBoWay4Q5iHVkCg3vpnJWlYlzbyeA29yLvtqEHFqmHG9k5Vn3YJKnNVsWcRQNhhxR3CfK2ADjutgEB9+KpWb3+/QwdL2SOCw6YCxpBY1YfFYtHNZ2ZLkl5ftE17nBUmRwQALYfEKoT5WgHtVn7MQH2c0i1ZvTMSVO6u0muLcs0OBwHg8HOsUD+jsttqQPskVXq8+tf8TWaHAwAthhV3CGMqINAwFovFX7V69btclbk8JkcEsxWWcY5VQ1ksFt0yprpq9db3O9izCCBssOIOYf49VrQCAvU2vk+aOrSJUWGZW+8s3WF2ODBZkb8VkHHrDTGsa7KGdG4tV5VX//xyo9nhAECLILEKYW7fVEBaAYF6s9usuuKUzpKkF7/e6q/8IjwxvOL43VxTtfrfsp3atr/U5GgAoPmx4g5hLloBgePy64GZSo6L1K7Ccn38026zw4FJDMM4rGJFYtVQgzq21qnd26rKa+ipeVStAIQ+VtwhjFZA4PhERdj0++EdJUnPLdwsr9cwNyCYoqTSo6qanz0Vq+Nzc825Vh/+uEub9pSYHA0ANC8SqxDmawV0ULECGuySIR0UF2nXhoISzc/ZY3Y4MIFvcEWk3aqoCJvJ0QSn/llJGt0zVV5DenLuBrPDAYBmxYo7hPlaAe1WKlZAQyVGR+jiwe0lSdMXcNBpOGJ/VdO4qaZqNWtlntblOU2OBgCaD4lVCHN7fK2A/JiB4/GHEZ3ksFm1bNtBLc09YHY4aGHsr2oavTISdHa/dEnSE3OoWgEIXay4Q5inZm8AwyuA45OaEKXzBrSTJD1H1SrsULFqOjeO7iarRfpibYFW7iw0OxwAaBasuEOYb0w0e6yA43flqZ1lsUjz1u9RTn6x2eGgBfn2WCVGc4ZVY3VNidekE6rfpPj7F1StAIQmVtwhzFXTCmi3sccKOF6d28ZpXO80SdLzC6lahRMqVk3rujO6yWa1aOGGvVpGay2AEERiFcLcnGMFNImrRnaRJM38abd2HiwzORq0lMJylyT2WDWVjsmx+s3ATElUrQCEJlbcIcy3x4pWQKBx+mclaViXNvJ4Db349Vazw0ELcfqGV1CxajLXnN5VETaLFm3Zr+827TM7HABoUqy4QxitgEDTuXpUddXqnaU7dKDUZXI0aAn+PVZUrJpMZqsY/fbk6mMM/j5ngwyDw7cBhA4SqxBGKyDQdEZ0TVbvjASVu6v02ne5ZoeDFnBoeAWJVVOaclpXRdqtWr7toBZu2Gt2OADQZFhxhzDGrQNNx2Kx+KtWry3KVZnLY3JEaG4Mr2geqQlR+t2QDpKkf1C1AhBCWHGHMN8BweyxAprG+D7p6tAmRoVlbr39/Q6zw0EzO3RAMOPWm9pVo7ooxmHTyp1FmrO2wOxwAKBJsOIOYa6q6ncB2WMFNA2b1aIrT+0sSXrx6y3+dluEJipWzSc5LlKXDesoqbpq5fVStQIQ/EisQhh7rICmd/6ATCXHRWp3UYVmrthtdjhoJu4qr0oqq9s9mQrYPK48tbPiI+1an1+sT1blmR0OADQaK+4Q5qmiFRBoalERNv1hREdJ0vNfbead9hDlG7UuSQkkVs0iKcahy0/pJEl6Yu4G//9ZABCsWHGHMHdNK2CEnVZAoCldPLiD4iLt2lBQoje/3252OGgGhTWJVXyUXTYr/4Y2lz+M6KSkmAht2Vuqj6gAAwhyJFYhyjAMuWre/bNb+TEDTSkxOkI3jO4mSbp/1lqty3OaHBGaGvurWkZCVIT+dGr1tM2n5m1k3yKAoMaKO0RVHdaeRCsg0PT+MLyTTu+RIpfHqylv/qDSSsavh5KiMt9EQBKr5nbpsA5KjnNo+4Eyvbd8p9nhAMBxY8UdonxtgBKtgEBzsFotevw3/ZWWEKUte0t110erzQ4JTYiKVcuJcdh19aiukqRn5m1UpafK5IgA4PiQWIUo12HtFLQCAs2jdaxDT//2RNmsFn3wwy69u4yzrUJFYZlLkpQUzRlWLeHiwe2VmlA9bZMz4gAEK1bcIerwPvUIzrECms3JnVrrpjO7S5Lu/miNNhYUmxwRmoJveEUirYAtIirCpmtOr963+M/5m1TuomoFIPiQWIUoj28ioM0ii4XECmhOV4/solO6JavcXaVr3vyRRWEIoBWw5f3fSVlqlxStvcWVemPxNrPDAYAGI7EKURwODLQcq9Wif1xwgpLjIpVTUKz7Pl5jdkhoJP/wChKrFuOwW3X9GdVVq+kLN/uTWwAIFqy6Q9ShUetUq4CW0DY+Uk9deIIsFuntpTv00YpdZoeERqBiZY7zBrRT57axOlDq0qOz15sdDgA0CIlViPJVrBx2fsRASxneNVnX1uwTuf2DVdq6r9TkiHC8fHusGLfesuw2qx7+VV9J0ptLtmtp7gGTIwKA+mPVHaIO7bHiRwy0pOvP6KbBnVqr1FWlKf/9QRVu9lsFI1/FKoGKVYsb0rmN/u+kLEnSX99fyfh1AEGDVXeI8rcCMhEQaFE2q0VPXXiiWsc6tDbPqYc/XWd2SDgOhf49VoxbN8PtZ/VUclykNu8t1fQFm80OBwDqhcQqRLk9DK8AzJKWGKV/XNBfkvT6om36bFWeyRGhIQzDkJNx66ZKjInQPef2kiQ9O3+zNu3hGAMAgY9Vd4jyeKtbAR0kVoApRmWn6KqRXSRJt72/Utv3l5kcEeqr3F3lr/ozFdA85/RL12nZbeWq8mrqB6vkrfl/DQACFavuEOVi3DpgupvHdNeA9kkqrvDo2rd+kMvjPfY3wXS+/VV2q0UxDpvJ0YQvi8WiByb1UYzDpqW5B/X20h1mhwQAR8WqO0T5WgHZYwWYJ8Jm1TMXDVBidIR+2lmkxxgfHRT8+6tiIjhg3WSZrWJ085hsSdK0z9Zpj7PC5IgA4MhIrEKUm6mAQEBolxStx39Tvd/qxW+2au7aApMjwrEwETCwXDaso/plJqq4wqN7OXwbQABj1R2iPN6ac6xIrADTndkrVX8Y3kmSdPO7P2lXYbnJEeFoDk0EJLEKBDarRY+c1082q0WfrsrXHN6cABCgWHWHKJd/KiBtLEAg+Ov4HuqXmaiicreue+tH/yHeCDxF5S5JUlIMo9YDRa+MBF1xSmdJ0l0frlZxhdvkiADgl0isQpSvFdBOxQoICA67Vf/87QDFR9q1fNtB/WPOBrNDwhH4WgETqVgFlOvP6Kb2rWOU76zQ37/g7w+AwMOqO0T53g2nFRAIHO3bxOiR8/tJkqYv2KyFG/aaHBHq4msFJLEKLNEOmx76VR9J0muLcvXD9oMmRwQAtbHqDlHuKloBgUB0dr90XTKkvSTppndWqIApZwGHilXgOqVbW503oJ0MQ5r6/ipaagEEFBKrEEUrIBC47jy7l3qmJ2h/qUvXv/2jqjj4NKAUlh8at47Ac+fZvdQ61qGcgmL9+6stZocDAH6sukOUmwOCgYAVFWHTvy46UTEOmxZvOaCn5200OyQcxknFKqC1jnXornN6SpKemrdRW/eVmhwRAFRj1R2iPP49VrQCAoGoc9s4PfyrvpKkp7/cqO827TM5IvgcfkAwAtOkE9rplG7Jcnm8uv2DVTIMqr4AzEdiFaJcHBAMBLxJJ7bTBSdlyjCk699ZoX0llWaHBLHHKhhYLBY9NKmvoiKsWrRlv95dvtPskACAxCpU+VoB2WMFBLb7JvRRt5Q47S2u1E3/+4l33gNAYVn1OVaJ0ZxjFcjat4nRjaO7S5Ie+mQdb0wAMB2r7hDlphUQCArRDpv+dfEARdqt+mrDXs38abfZIYW1Kq+h4kqPJCpWweDyEZ3UKz1BReVu3f/xWrPDARDmSKxClJtWQCBodE+N1zWndZVU/c57cYXb5IjCV3GFW76iIYlV4LPbrHrk/L6yWqSZP+3W/Jw9ZocEIIyx6g5R/qmAdn7EQDC4cmRndWwToz3FlXpiDlMCzeLbXxXrsMnBv59BoV9mkn4/vJMk6c4Zq1VaU3EEgJbG/xohyr/HykorIBAMIu023TexjyTptUW5WpfnNDmi8OSbCEi1KrjcdGZ3tUuK1q7Ccj0xZ4PZ4QAIUyRWIcpT0wrIO65A8BjZva3G90lTldfQXR+uZpCFCXyHAyfGMLgimMRG2vXgr6rfmHj5261atbPI5IgAhCNW3SHKxQHBQFC665xeinHYtGzbQb3/wy6zwwk7h0at202OBA11WnaKJvTPkNeQ/vrBSv95jgDQUlh1hyhaAYHglJEUrevO6CZJmvbpOhWVMciiJRXVjFpPYtR6ULrrnF5KjI7Qmt1OvfztVrPDARBmSKxClH/cOq2AQND5w/BO6poSp/2lLj3+RY7Z4YQVDgcObm3jI3XHWT0lSf+Ys0Hb95eZHBGAcMKqO0Qxbh0IXg67VfdP7C1JemPJNvaLtCDf8IqkGBKrYPWbkzI1pHNrVbi9uuPDVexVBNBiWHWHKDd7rICgNqxLsib0z5BhSHd9tFpeL4vDluCrWCVQsQpaFotF087rJ4fdqq837tNHKzh0G0DLMHXVPW3aNA0aNEjx8fFKSUnRpEmTlJNzqO3lwIEDuvbaa5Wdna3o6Gi1b99e1113nYqKjv7u7WWXXSaLxVLrNm7cuOZ+OQHFv8fKxh4rIFjdcXZPxUXatWJHod5ZtsPscMKCbyogFavg1ik5VtfX7FW8f9ZaHSh1mRwRgHBgamK1cOFCTZkyRYsXL9acOXPkdrs1ZswYlZaWSpJ2796t3bt36/HHH9fq1av16quvavbs2br88suPee1x48YpLy/Pf3vrrbea++UEFLenZtw6FSsgaKUmROmG0dWLw0dnr2dx2ALYYxU6rjils7JT43Wg1KVpn64zOxwAYcDUebKzZ8+u9fmrr76qlJQULV++XKeeeqr69Omj999/339/ly5d9NBDD+mSSy6Rx+OR3X7k8CMjI5WWltZssQc6t5dWQCAUXDaso95bvlPr84v1t8/Xa9p5/cwOKaT5pjAyFTD4OexWPXxeX50//Tu9u3ynLhnSQf2zkswOC0AIC6hVt6/Fr3Xr1kd9TEJCwlGTKklasGCBUlJSlJ2drauvvlr79+8/4mMrKyvldDpr3YLdoT1WtAICwcxus+qBSdUHn769dId+3H7Q5IhCGxWr0DKwQyv96sR2kqpbAhlkAaA5BUxi5fV6dcMNN2j48OHq06dPnY/Zt2+fHnjgAV155ZVHvda4ceP0+uuva968eXr00Ue1cOFCjR8/XlVVVXU+ftq0aUpMTPTfsrKyGv16zOZrBaRiBQS/QR1b6/wBmf5BFlUMsmg2heU151ixxypk/GVcD0VH2LR820HN/IlBFgCaT8CsuqdMmaLVq1fr7bffrvN+p9Ops88+W7169dK999571GtdeOGFmjBhgvr27atJkyZp1qxZWrp0qRYsWFDn46dOnaqioiL/bceO4N8k7qEVEAgpfx3fQ/FRdq3e5dR/l2wzO5yQVOGuUoW7+t/ORBKrkJGWGKUpp3WRJD3y2XqVuTwmRwQgVAXEqvuaa67RrFmzNH/+fGVmZv7i/uLiYo0bN07x8fGaMWOGIiIa9h9e586dlZycrE2bNtV5f2RkpBISEmrdgp3LQysgEEraxkfq1rHZkqS/fZ6jfSWVJkcUepw1bYBWixTnMHULMprYH0/prHZJ0corqtDzC7eYHQ6AEGVqYmUYhq655hrNmDFDX375pTp16vSLxzidTo0ZM0YOh0MzZ85UVFRUg59n586d2r9/v9LT05si7KDAAcFA6Ll4cAf1aZeg4gqPpn263uxwQk7hYfurrFbelAolURE23XF2T0nScws3a1dhuckRAQhFpq66p0yZojfeeENvvvmm4uPjlZ+fr/z8fJWXV/+D50uqSktL9dJLL8npdPofc/h+qR49emjGjBmSpJKSEt16661avHixcnNzNW/ePE2cOFFdu3bV2LFjTXmdZuCAYCD02KwWPTCxjywW6f0fdmpp7gGzQwopDK4IbeP7pGlwp9aq9HgZvw6gWZi66p4+fbqKioo0atQopaen+2/vvPOOJOmHH37QkiVLtGrVKnXt2rXWYw7fB5WTk+OfKGiz2bRy5UpNmDBB3bt31+WXX66BAwfq66+/VmRkpCmvs6UZhiGP11ex4l1XIJSc2L6VLhxUPWDnrg9Xy1PzJgoar7Bm1HpiDKPWQ5HFYtHd5/aSxSLNWpmn77fyxgSApmVqE/mxxp6OGjWqXqNRD39MdHS0Pv/880bHFsx8bYCSFGGnYgWEmlvH9tBnq/O1Pr9Yry3apstH/LKNGg1HxSr09c5I1IWD2uut77frvo/XaOY1I2Sj7RNAE2HVHYLch72DHWHlRwyEmtaxDv1lXA9J0hNzNqjAWWFyRKGhsKxm1DqJVUi7ZUx3xUfZtWa3U+8tD/4pwAACB6vuEOQ5vGJFKyAQkv7vpCydkJWkkkqPHvqE/SJNwUnFKiy0iYvU9Wd0k1Q9YbO4wm1yRABCBYlVCHLVVKwsFtHiAIQoq9WiBydVD7KY+dNufbdpn9khBT3fVEAOBw59k4d2VOfkWO0rcemfX9Z9FAsANBSJVQjyTwS0WmWxkFgBoapPu0RdMriDJOnumWv859fh+LDHKnw47FbdeU71+PWXv92qrftKTY4IQCggsQpBh0atk1QBoe6WMdlqE+vQpj0levnbrWaHE9T8UwFJrMLCadkpGtm9rdxVBu20AJoEiVUI8h8OzERAIOQlxkRo6lnV77w/NXejdnPw6XGjYhVeLBaL7jqnp+xWi+auK9DXG/eaHRKAIMfKOwRxODAQXs4f0E6DOrZSubtKD8xaa3Y4QavIv8eKc6zCRdeUeP1uaHU77f0fr+VcOACNwso7BB3aY0UrIBAOLBaL7p/YRzarRZ+tztfCDbzzfjyKGF4Rlm44o7taxURo454S/XfJdrPDARDESKxCkD+xohUQCBs90xN06dCOkqR7Z65RuavK3ICCjNdr+M+xohUwvCTGROjmMdmSpH/M2aCDpS6TIwIQrFh5hyD/HitaAYGwcuOZ3ZQSH6mt+0p187sr5PUax/4mSJJKXB75frtIrMLPhYOy1CMtXkXlbj05d4PZ4QAIUqy8QxB7rIDwFB8VoX9eNEARNos+XZWvJ1gg1ltRzUTASLtVURE2k6NBS7PbrLr7nF6SpDeWbFdOfrHJEQEIRqy8QxDj1oHwdXKn1pp2Xj9J0jNfbtKHP+4yOaLgwP4qDOuarHG901TlNfTArLUyDCq+ABqGxCoE0QoIhLdfD8zUVSO7SJJue2+llm87YHJEgY9R65Ck28/qKYfNqm827dPcdXvMDgdAkGHlHYKoWAG4bWy2xvRKlavKqytfX64dB8rMDimg+Q4HTopm1Ho4a98mRn88pZMk6cFP1qrSwxAYAPVHYhWC2GMFwGq16In/O0G90hO0v9SlP762TMUVbrPDCli+ilUCFauw9+fTuqptfKS27S/TK9/mmh0OgCDCyjsEuT20AgKQYiPteumyk9Q2PlI5BcW6/u0VqmJSYJ0Ky6tHbLPHCnGRdv1lXA9J0j+/3KQ9xRUmRwQgWLDyDkFuL62AAKqlJ0brxcknKdJu1Zfr9+jhT9eZHVJAYo8VDnfeie3UPzNRJZUePf55jtnhAAgSJFYhyO2hFRDAIf2zkvT3C/pLkl76Zqve+n67yREFniL/HisSK1S30t59bm9J0rvLd2rVziKTIwIQDFh5hyCmAgL4uXP6ZeimM7tLku76cLW+27zP5IgCC+PW8XMDO7TSpBMyZBjSfR+vYfw6gGNi5R2CXEwFBFCHa0/vqoknZMjjNXT1Gz9oy94Ss0MKGL6pgAyvwOH+Mr6HoiNsWrbtoD5emWd2OAACHIlVCPJQsQJQB4vFokfP76cT2yepqNytP762zN8CF+4OVawYt45D0hOjdfWo6jPhHvl0ncpdjF8HcGSsvEMQ49YBHElUhE3//t1JapcUrS37SnX1f5f7/80IZwyvwJFceWpntUuK1u6iCt387gp5+PsC4AhYeYcgDggGcDRt4yP14qUnKdZh03eb9+vuj9g/UlhWM26dxAo/ExVh06Pn95PDZtWnq/J14/9+IrkCUCcSqxDE8AoAx9IzPUFPXXiiLBbpre+36+UwPgjVXeVVaU2LFxUr1GVEt2Q9e/EARdgs+vin3brl3Z84Ew7AL7DyDkG0AgKoj9G9UnX7+J6SpIc+Wav56/eYHJE5fG2AEsMrcGSje6Xqmd8OkN1q0YcrduvW90iuANTGyjsE0QoIoL7+eEonXTgoS15DuvatH5WTX2x2SC3Ol1jFR9lls/LvJo5sXJ80Pf3bE2WzWvTBD7s09YOV8pJcAahBYhWCXFSsANSTxWLR/RP7aEjn1iqp9OgPry7VvpJKs8NqUb5R65xhhfo4q2+6nvy/E2S1SP9btlN3fLiK5ApoYnuLK/XX91dq3roCs0NpEFbeIYhx6wAawmG36rlLBqpjmxjtKizXn/6zXBXu8Bkr7WQiIBro3P4ZeqImuXrr+x26e+bqsB8AAzSFSk+Vnl+4Wac9vkBvL92hBz9ZF1Qtt6y8Q5C/FdDOjxdA/STFOPTSZYOUEGXX8m0HNfWDVWGxUNy0p1gvfL1FEokVGmbiCe30t1/3l8UivbF4u+77eG1Y/J0BmoNhGPpiTb7GPPGVpn22XiWVHvVtl6i//bpfULVo280OAE3Pn1gF0R9EAObr0jZOz148UJe+8r1m/LhLznK3bj+7p7q0jTM7tCa3v6RST87dqDe/364qryG71aKJJ7QzOywEmfMHZqrKMHTbeyv16ne5slosuuucnrJY+P8XqK+c/GLdP2uNvt20X1L1kSC3jc3W+QMyZQ2ytSyJVQhi3DqA4zWiW7Ie/lUf3T5jteat36OFG/bqkiEddN0Z3dQ61mF2eI1W4a7SK9/m6tn5m1Rc6ZEkndkrVVPH91DnEEwg0fwuOClLXq+hv36wSi9/u1V2m0VTx/cguQKO4UCpS/+Yk6M3l2yX16huS//jiE7682ldFRcZnClKcEaNo6IVEEBj/N+g9hrYobUe+Wyd5q7bo1e/y9X7P+zUdad30+RhHRRpt5kdYoMZhqGPV+bp0c/Wa1dhuSSpT7sE3XFWLw3t0sbk6BDsLjy5vaoMQ3fMWK1/f7VFNqtFt43NJrlCiyt3VWlXYZl2FVboYKlLQzq3UVpilNlh1eKu8uo/i7bpybkb5KyofoNrfJ803X5WT2W1jjE5usYhsQpBvsTKwbh1AMepa0qcXrx0kL7btE8PfrJOa/OceujTdfrP4m366/geGt8nLWgWjcu3HdADs9ZpxY5CSVJaQpRuHZutX53YLujaTBC4Lh7cQVVeQ3d/tEbTF2yW3WrRTWd2D5q/Jwh8hmHoYJlbuw6W+5OnQx+Xa3dhhQ6Uump9j8Nm1fkDM3XVyM7q0CbWpMgPmZ+zRw/OWqvNe0slVR9Wf/c5ofMGF4lVCHLVtALarVSsADTOsK7J+vjaEXr/h516/PMcbT9Qpj//9wed1KGV7ji7p05s38rsEI9o+/4yPTJ7nT5dlS9JinHYdPXILvrjKZ0V7Qi+qhsC3+ShHeWpMnT/rLV65stNslktumF0d7PDQhDyeg19vHK3Fm85oF2F5dp1sEy7CytUXo+JrXGRdrVLipbNatHaPKfe+n673lm6Xef0y9CfT+uiHmkJLfAKatu0p0QPfrJWC3L2SpLaxDp0y9hsXXBSVlANpzgWEqsQ5KEVEEATslktuuCkLJ3TL13PL9yif3+1Rcu2HdSvnv1OE/pn6LZx2cpsFTjtG0Vlbv1z/ka99t02uaq8slqq98HcdGZ3pSQEVksMQs8fRnSS1zD04Cfr9OTcjbJZLLr2jG5mh4UgsnzbAd07c61W7Sqq8/628ZFqlxRdfWtV/WvGYZ8fPuF0ae4BPTt/k+bn7NXMn3Zr5k+7Nbpniv58WlcNaIE3xorK3Hpy3gb9Z9E2ebyGImwW/X54J11zelclRIXeJFaLwWzQX3A6nUpMTFRRUZESElo+q2+sMU8s1IaCEr15xWAN65JsdjgAQkx+UYUe/yJH7/+wU0bNhuPLR3TSn0d1UXwL/0dpGIYKy9zaU1ypAmeF1uY59dzCzf5Df0/plqw7zu5pyju0CG/PLdysRz5bL0m6bVy2/jyqq8kRIdDlFZXr0c/W68MVuyVVV54uHtxeXdrG+ROotMQoRUU0vOK+eleRpi/crE9X5cm38h/auY3+fFoXjeia3OQtq54qr976frv+MWeDDtb8ezy6Z6ruOLunOiWb35LYUPXNDUis6hDsidVpjy/Q1n2leveqoRrUsbXZ4QAIUat3FemhT9Zp0ZbqEbltYh268czuunBQluyNnErq9RraX+rSnuIK7Smu1F5ndeK0p7jS/7U9zkrtLa6Uq6ZKf7huKXG6/eyeGtW9LXtcYJp/zd+kv32eI0m6/aweuvLULs3yPJ4qrwqKK5VXWK7dRRXKKyxXXlGFdtf8WuCsUJe2cRrdK1VjeqUG/YCAUFPhrtKLX2/Rv+ZvVrm7ShaLdMHALN0yNltt4yOb9Lm27C3Rcws3a8aPu/xTpPtlJurPo7pqTK/U49p3ahiGdhwo19o8p9bmObUuz6mVOwtV4KyUJHVPjdNd5/TSKd3aNulraUkkVo0Q7InV8Ee+1K7Ccn04ZbhOyEoyOxwAIcwwDM1bt0cPf7pOW/ZVb0a2WiSrxSKrxSJZqj+3yFL9q8UiS839/l91+NclryEdLHXJ463/f09JMRFKiY9UakKUxvdJ1wUnZTY6uQOawlNzN+qJuRskSaN7pigpxqHoCJuiHTZFRdiqP46w+j/3f81R/WtUhE2RdqsOlrm0u7BCeUXl2v2zBKrAWaEG/HVRj7R4je6ZqjN7papvu0SGuJjEMAzNXp2vhz5dp50Hq6eVntShle45t7f6ZiY263PvLizXC19v0Vvfb1eFu/rNqa4pcbp6ZBdNOCHjiEf2VLirtKGgWOvynFq7uzqRWp9X7D++4nBJMRG66czuuujk9kH/7zGJVSMEe2I1+OG5KnBW6pPrRqh3RvP+xQQAqXoa6ZtLtuvJuYfaPhrLYqmugqXERyklIVIp8ZGHfXzoa23jI4NyBDzCxz++yNHTX25q1uewWy1KS4xSRmK00pOilJ4YrXY1v7aJc+iH7YWaszZfS3MPquqwLCw1IVJn1CRZw7q04e9SC1mX59T9H6/1V/zTE6P01/E9NKF/RotW2feXVOqVb3P12qJcFdeMPm+XFK2rRnbWGT1TtWlPSXUSVZNIbdlXWuvPj4/DZlX3tDj1TEtQr4wE9UxPUL/MRMU4QmOcA4lVIwR7YjXggTk6UOrSnBtPVbfUeLPDARBGXB6vDpa5ZBiS1zBkqLqtT6r+3GtUv0tb/SXf5777DH/vf3JcpNrEOTjoHCHBMAx9s2mfNu0pUbm7ShVuryrcVSp3VancXX2rcFWpwuP7Wu37K9xVSoyOUHpStDISo5SRFK30n/2aHBdZr+lqhWUuzc/ZozlrC7QwZ69KXYemzMU6bBqZ3Vaje6bq9B7V1bVAYhiG3FWGKjzVvyeVbq8qPYd+P/2/1vpalSo9XkVH2JSdFq/stHglxzVte11DHCx16R9zNui/S7bJa0iRdqv+dGpnXTWqi6lJiLPCrTcWb9PL32zVvhLXUR/bOtahXukJ6pke70+iurSNC+l/r0msGiHYE6u+93yu4kqP5t8yKig3CAIAgOZX6anSos37NWdtgeauK/DviZGqp4EO6thKo3umakyvNLVvU/e+LK/XkKvKK4/XkNvjldvrlbvKkKfKK3dV9cfuKq9cHq/KXFUqc3lU5qpSqatK5S6PSisPfe3w+8tcVSqtPPRxucujcndVg1oejyQ5LlI9apKs7LR49UxLULfUuOMaClFfniqv3li8TU/M3aii8uqq/tl90/XX8T0Cas9bhbtK/1u2Q88v3KLdReXq1CZWPTMS1Cu95paRoJT4yLDbu0pi1QjBnlj1uOszVbi9+uYvpwXUCGQAABCYvF5Dq3YVae66As1ZW6D1+cW17k9NiJRhVLf9eqoOJVN1tYW1lKgIa/W+NLvN/3FkhE1R9pqv+75mt6qo3K2c/GJtO1Cmula+VovUsU2sstPi1SMtoebXeLVvHdPoPWjfbNyn+2et0YaCEknVe9zuObd3QB+KaxjVP2NaQ6vVNzcIjcZH1OKb8uII4ZIsAABoOlarRf2zktQ/K0k3j8nW9v1lmrOuQHPXFuj73AO1qllHY7FIETarHDar7DaLImxWRVgtirBbFeOwK8ZhU4zDpljfx5G2Wl8/9LFdsZG1v+ZLoiIjrIq0W4+ralLm8mhDQYly8p1al1esnPxi5RQU60CpS1v2lWrLvlJ9tjrf//joCJu6p8UrIzFKXsNQlVc1vx52Mwx5D/vVl3B6DUMuj1e5+8skSa1iInTL2GxdOKh9wB+Ka7FYSKqOA4lViKk67N2jYJ/AAgAAzNG+TYwuH9FJl4/opMIyl7btL5PdZpHDZlVETdJUnTxZFeFLoGzWgE8YYhx2nZCVVGtqsmEY2ltSqfU1idb6/GLlFDi1oaB6T9xPOwr1047jf06b1aLJQzvohjO6KzEm9A7FxSEkViHGfdh5LhG2wP7HDQAABL6kGEfADbJoShaLpXrSaHyUTu1+6KwlT1V1tSknv1j7Sipls1qqbxaLrFaLbFbJZrXKZqn+2GqxHHrMYY9r3zpGGUnRJr5CtBQSqxBz+LkvoTydBQAAoDnZbVZ1TYlT15Q4s0NBkGDlHWLcnsMrVvx4AQAAgJbAyjvE+FoBrRYFfJ8zAAAAECpIrEKMqyaxoloFAAAAtBxW3yHGw6h1AAAAoMWx+g4xvlbACDs/WgAAAKClsPoOMb5WQDv7qwAAAIAWQ2IVYnytgOyxAgAAAFoOq+8Q42sFdNAKCAAAALQYVt8hhlZAAAAAoOWRWIUYN62AAAAAQItj9R1iPEwFBAAAAFocq+8Q499jZaMVEAAAAGgpJFYhxlXTCmi38qMFAAAAWgqr7xBDKyAAAADQ8lh9hxhaAQEAAICWR2IVYlxMBQQAAABaHKvvEOP21JxjRWIFAAAAtBhW3yHG463ZY0UrIAAAANBiSKxCjO+AYAcVKwAAAKDFsPoOMS5/KyAVKwAAAKClkFiFGN9UQIZXAAAAAC2H1XeI8XhpBQQAAABaGqvvEONrBaRiBQAAALQcVt8hxtcKyB4rAAAAoOWQWIUYDwcEAwAAAC3O1NX3tGnTNGjQIMXHxyslJUWTJk1STk5OrcdUVFRoypQpatOmjeLi4nT++eeroKDgqNc1DEN333230tPTFR0drdGjR2vjxo3N+VIChq9ixR4rAAAAoOWYuvpeuHChpkyZosWLF2vOnDlyu90aM2aMSktL/Y+58cYb9fHHH+vdd9/VwoULtXv3bp133nlHve5jjz2mp59+Ws8995yWLFmi2NhYjR07VhUVFc39kkznquKAYAAAAKClWQzDMMwOwmfv3r1KSUnRwoULdeqpp6qoqEht27bVm2++qV//+teSpPXr16tnz55atGiRhgwZ8otrGIahjIwM3XzzzbrlllskSUVFRUpNTdWrr76qCy+88JhxOJ1OJSYmqqioSAkJCU37Ihvoy/UF/oEU9fHcwi1asaNQD07qo0uGdGjGyAAAAIDQV9/cwN6CMR1TUVGRJKl169aSpOXLl8vtdmv06NH+x/To0UPt27c/YmK1detW5efn1/qexMREDR48WIsWLaozsaqsrFRlZaX/c6fT2WSvqbFue2+l9pW4Gvx9URG2ZogGAAAAQF0CJrHyer264YYbNHz4cPXp00eSlJ+fL4fDoaSkpFqPTU1NVX5+fp3X8X09NTW13t8zbdo03XfffY18Bc2jf2aSisrdDfqe5LhInZbdtpkiAgAAAPBzAZNYTZkyRatXr9Y333zT4s89depU3XTTTf7PnU6nsrKyWjyOurx02SCzQwAAAABwDAExOu6aa67RrFmzNH/+fGVmZvq/npaWJpfLpcLCwlqPLygoUFpaWp3X8n3955MDj/Y9kZGRSkhIqHUDAAAAgPoyNbEyDEPXXHONZsyYoS+//P/27j4oquv8A/h3edkF5GXRhYWNgiAEUkUCJFLShDhKQGqNNmk11sFgFRNLYqypYWxTaZ2OMtrGmZpIMp2oyWjVpKOmkxhSX6BRQzQQERGzVYrQNrw0kgUMKAhP/8iP+/PKq152F/X7mdmZ5Zzn3j334Xg9z+xy9gjCwsJU/QkJCXB3d8fhw4eVNqvVitraWiQlJfV5zrCwMAQFBamOaWlpwYkTJ/o9hoiIiIiISAunFlbZ2dnYsWMH/vznP8PHxwf19fWor69He3s7gG83nVi8eDFWrlyJwsJClJaWYtGiRUhKSlJtXBEdHY19+/YBAHQ6HVasWIHf/e53+Otf/4ozZ85g4cKFsFgsmDNnjjMuk4iIiIiI7nBO/Rur/Px8AMDUqVNV7du2bUNmZiYAYNOmTXBxccGTTz6Jq1evIi0tDVu2bFHFW61WZUdBAHjppZfwzTffYOnSpbDZbHj44YdRUFAADw8Pu14PERERERHdnUbU91iNFCPpe6yIiIiIiMh5hlobjIjNK4iIiIiIiG5nLKyIiIiIiIg0YmFFRERERESkEQsrIiIiIiIijVhYERERERERacTCioiIiIiISCMWVkRERERERBqxsCIiIiIiItKIhRUREREREZFGLKyIiIiIiIg0YmFFRERERESkEQsrIiIiIiIijVhYERERERERacTCioiIiIiISCMWVkRERERERBqxsCIiIiIiItKIhRUREREREZFGLKyIiIiIiIg0YmFFRERERESkEQsrIiIiIiIijdycPYCRSEQAAC0tLU4eCREREREROVNPTdBTI/SHhVUfWltbAQDjxo1z8kiIiIiIiGgkaG1thZ+fX7/9Ohms9LoLdXd348svv4SPjw90Op1Tx9LS0oJx48bhX//6F3x9fZ06ljsZ82x/zLFjMM+OwTw7BvNsf8yxYzDPjmGvPIsIWltbYbFY4OLS/19S8R2rPri4uGDs2LHOHoaKr68v/yE6APNsf8yxYzDPjsE8OwbzbH/MsWMwz45hjzwP9E5VD25eQUREREREpBELKyIiIiIiIo1YWI1wBoMBubm5MBgMzh7KHY15tj/m2DGYZ8dgnh2DebY/5tgxmGfHcHaeuXkFERERERGRRnzHioiIiIiISCMWVkRERERERBqxsCIiIiIiItKIhRUREREREZFGLKxGuNdeew3jx4+Hh4cHEhMTcfLkSWcPaURav349HnzwQfj4+CAwMBBz5syB1WpVxUydOhU6nU71ePbZZ1UxtbW1mDlzJry8vBAYGIhVq1bh2rVrqpiioiLEx8fDYDAgIiIC27dvt/fljRi/+c1veuUwOjpa6b9y5Qqys7MxZswYeHt748knn0RDQ4PqHMzx4MaPH98rzzqdDtnZ2QA4l2/Fxx9/jFmzZsFisUCn02H//v2qfhHBmjVrEBwcDE9PT6SkpOD8+fOqmKamJixYsAC+vr4wGo1YvHgxLl++rIopLy/HI488Ag8PD4wbNw4bNmzoNZZ3330X0dHR8PDwQExMDA4cODDs1+ssA+W5s7MTOTk5iImJwahRo2CxWLBw4UJ8+eWXqnP0Nf/z8vJUMczzwPM5MzOzVw5nzJihiuF8HthgOe7rHq3T6bBx40YlhnN5cENZvzlybaF53S00Yu3evVv0er1s3bpVzp49K1lZWWI0GqWhocHZQxtx0tLSZNu2bVJRUSFlZWXy/e9/X0JCQuTy5ctKzKOPPipZWVlSV1enPJqbm5X+a9euyaRJkyQlJUVOnTolBw4cEJPJJKtXr1Zi/vnPf4qXl5esXLlSKisrZfPmzeLq6ioFBQUOvV5nyc3NlYkTJ6py+N///lfpf/bZZ2XcuHFy+PBhKSkpke9+97vy0EMPKf3M8dA0Njaqcnzw4EEBIIWFhSLCuXwrDhw4IL/61a9k7969AkD27dun6s/LyxM/Pz/Zv3+/nD59Wh5//HEJCwuT9vZ2JWbGjBkSGxsrn376qRw9elQiIiJk/vz5Sn9zc7OYzWZZsGCBVFRUyK5du8TT01PeeOMNJeb48ePi6uoqGzZskMrKSnn55ZfF3d1dzpw5Y/ccOMJAebbZbJKSkiJ79uyRL774QoqLi2XKlCmSkJCgOkdoaKisXbtWNb+vv5czz4PP56efflpmzJihymFTU5MqhvN5YIPl+Prc1tXVydatW0Wn00lVVZUSw7k8uKGs3xy1thiOdTcLqxFsypQpkp2drfzc1dUlFotF1q9f78RR3R4aGxsFgPz9739X2h599FF54YUX+j3mwIED4uLiIvX19Upbfn6++Pr6ytWrV0VE5KWXXpKJEyeqjps3b56kpaUN7wWMULm5uRIbG9tnn81mE3d3d3n33XeVtnPnzgkAKS4uFhHm+Fa98MILMmHCBOnu7hYRzmWtblwkdXd3S1BQkGzcuFFps9lsYjAYZNeuXSIiUllZKQDks88+U2I+/PBD0el08p///EdERLZs2SL+/v5KjkVEcnJyJCoqSvl57ty5MnPmTNV4EhMT5ZlnnhnWaxwJ+lqM3ujkyZMCQGpqapS20NBQ2bRpU7/HMM9q/RVWs2fP7vcYzuebM5S5PHv2bJk2bZqqjXP55t24fnPk2mI41t38KOAI1dHRgdLSUqSkpChtLi4uSElJQXFxsRNHdntobm4GAIwePVrVvnPnTphMJkyaNAmrV69GW1ub0ldcXIyYmBiYzWalLS0tDS0tLTh79qwSc/3vpCfmbvqdnD9/HhaLBeHh4ViwYAFqa2sBAKWlpejs7FTlJzo6GiEhIUp+mOOb19HRgR07duCnP/0pdDqd0s65PHyqq6tRX1+vyoefnx8SExNVc9doNOKBBx5QYlJSUuDi4oITJ04oMcnJydDr9UpMWloarFYrvv76ayWGef9/zc3N0Ol0MBqNqva8vDyMGTMGcXFx2Lhxo+ojPczz0BQVFSEwMBBRUVFYtmwZLl26pPRxPg+vhoYGfPDBB1i8eHGvPs7lm3Pj+s1Ra4vhWne73czFkuN89dVX6OrqUk0SADCbzfjiiy+cNKrbQ3d3N1asWIHvfe97mDRpktL+k5/8BKGhobBYLCgvL0dOTg6sViv27t0LAKivr+8z3z19A8W0tLSgvb0dnp6e9rw0p0tMTMT27dsRFRWFuro6/Pa3v8UjjzyCiooK1NfXQ6/X91ogmc3mQfPX0zdQzN2S4xvt378fNpsNmZmZShvn8vDqyUlf+bg+X4GBgap+Nzc3jB49WhUTFhbW6xw9ff7+/v3mveccd5MrV64gJycH8+fPh6+vr9K+fPlyxMfHY/To0fjkk0+wevVq1NXV4ZVXXgHAPA/FjBkz8MQTTyAsLAxVVVX45S9/ifT0dBQXF8PV1ZXzeZi99dZb8PHxwRNPPKFq51y+OX2t3xy1tvj666+HZd3NworuONnZ2aioqMCxY8dU7UuXLlWex8TEIDg4GNOnT0dVVRUmTJjg6GHeltLT05XnkydPRmJiIkJDQ/HOO+/cVQtxR3rzzTeRnp4Oi8WitHEu0+2us7MTc+fOhYggPz9f1bdy5Url+eTJk6HX6/HMM89g/fr1MBgMjh7qbempp55SnsfExGDy5MmYMGECioqKMH36dCeO7M60detWLFiwAB4eHqp2zuWb09/67XbCjwKOUCaTCa6urr12PWloaEBQUJCTRjXyPffcc3j//fdRWFiIsWPHDhibmJgIALhw4QIAICgoqM989/QNFOPr63tXFhZGoxH33nsvLly4gKCgIHR0dMBms6lirp+zzPHNqampwaFDh7BkyZIB4ziXtenJyUD326CgIDQ2Nqr6r127hqampmGZ33fTfb2nqKqpqcHBgwdV71b1JTExEdeuXcPFixcBMM+3Ijw8HCaTSXWP4HweHkePHoXVah30Pg1wLg+kv/Wbo9YWw7XuZmE1Qun1eiQkJODw4cNKW3d3Nw4fPoykpCQnjmxkEhE899xz2LdvH44cOdLrrfW+lJWVAQCCg4MBAElJSThz5ozqP5ue//S/853vKDHX/056Yu7W38nly5dRVVWF4OBgJCQkwN3dXZUfq9WK2tpaJT/M8c3Ztm0bAgMDMXPmzAHjOJe1CQsLQ1BQkCofLS0tOHHihGru2mw2lJaWKjFHjhxBd3e3UtgmJSXh448/RmdnpxJz8OBBREVFwd/fX4m5m/PeU1SdP38ehw4dwpgxYwY9pqysDC4uLspH15jnm/fvf/8bly5dUt0jOJ+Hx5tvvomEhATExsYOGsu53Ntg6zdHrS2Gbd095G0uyOF2794tBoNBtm/fLpWVlbJ06VIxGo2qXU/oW8uWLRM/Pz8pKipSbWva1tYmIiIXLlyQtWvXSklJiVRXV8t7770n4eHhkpycrJyjZ7vO1NRUKSsrk4KCAgkICOhzu85Vq1bJuXPn5LXXXrujt6i+0YsvvihFRUVSXV0tx48fl5SUFDGZTNLY2Cgi326JGhISIkeOHJGSkhJJSkqSpKQk5XjmeOi6urokJCREcnJyVO2cy7emtbVVTp06JadOnRIA8sorr8ipU6eU3ejy8vLEaDTKe++9J+Xl5TJ79uw+t1uPi4uTEydOyLFjxyQyMlK1PbXNZhOz2SwZGRlSUVEhu3fvFi8vr15bJ7u5ucnvf/97OXfunOTm5t5RWycPlOeOjg55/PHHZezYsVJWVqa6V/fs3PXJJ5/Ipk2bpKysTKqqqmTHjh0SEBAgCxcuVF6DeR44z62trfKLX/xCiouLpbq6Wg4dOiTx8fESGRkpV65cUc7B+Tywwe4ZIt9ul+7l5SX5+fm9judcHprB1m8ijltbDMe6m4XVCLd582YJCQkRvV4vU6ZMkU8//dTZQxqRAPT52LZtm4iI1NbWSnJysowePVoMBoNERETIqlWrVN/9IyJy8eJFSU9PF09PTzGZTPLiiy9KZ2enKqawsFDuv/9+0ev1Eh4errzG3WDevHkSHBwser1e7rnnHpk3b55cuHBB6W9vb5ef/exn4u/vL15eXvLDH/5Q6urqVOdgjofmo48+EgBitVpV7ZzLt6awsLDPe8TTTz8tIt9uuf7rX/9azGazGAwGmT59eq/cX7p0SebPny/e3t7i6+srixYtktbWVlXM6dOn5eGHHxaDwSD33HOP5OXl9RrLO++8I/fee6/o9XqZOHGifPDBB3a7bkcbKM/V1dX93qt7vqOttLRUEhMTxc/PTzw8POS+++6TdevWqQoCEeZ5oDy3tbVJamqqBAQEiLu7u4SGhkpWVlavxSHn88AGu2eIiLzxxhvi6ekpNput1/Gcy0Mz2PpNxLFrC63rbt3/XRQRERERERHdIv6NFRERERERkUYsrIiIiIiIiDRiYUVERERERKQRCysiIiIiIiKNWFgRERERERFpxMKKiIiIiIhIIxZWREREREREGrGwIiIiIiIi0oiFFRER3VEyMzMxZ84cp71+RkYG1q1bN6TYp556Cn/4wx/sPCIiInIEnYiIswdBREQ0FDqdbsD+3Nxc/PznP4eIwGg0OmZQ1zl9+jSmTZuGmpoaeHt7DxpfUVGB5ORkVFdXw8/PzwEjJCIie2FhRUREt436+nrl+Z49e7BmzRpYrValzdvbe0gFjb0sWbIEbm5ueP3114d8zIMPPojMzExkZ2fbcWRERGRv/CggERHdNoKCgpSHn58fdDqdqs3b27vXRwGnTp2K559/HitWrIC/vz/MZjP+9Kc/4ZtvvsGiRYvg4+ODiIgIfPjhh6rXqqioQHp6Ory9vWE2m5GRkYGvvvqq37F1dXXhL3/5C2bNmqVq37JlCyIjI+Hh4QGz2Ywf/ehHqv5Zs2Zh9+7d2pNDREROxcKKiIjueG+99RZMJhNOnjyJ559/HsuWLcOPf/xjPPTQQ/j888+RmpqKjIwMtLW1AQBsNhumTZuGuLg4lJSUoKCgAA0NDZg7d26/r1FeXo7m5mY88MADSltJSQmWL1+OtWvXwmq1oqCgAMnJyarjpkyZgpMnT+Lq1av2uXgiInIIFlZERHTHi42Nxcsvv4zIyEisXr0aHh4eMJlMyMrKQmRkJNasWYNLly6hvLwcAPDqq68iLi4O69atQ3R0NOLi4rB161YUFhbiH//4R5+vUVNTA1dXVwQGBipttbW1GDVqFH7wgx8gNDQUcXFxWL58ueo4i8WCjo4O1ccciYjo9sPCioiI7niTJ09Wnru6umLMmDGIiYlR2sxmMwCgsbERwLebUBQWFip/s+Xt7Y3o6GgAQFVVVZ+v0d7eDoPBoNpg47HHHkNoaCjCw8ORkZGBnTt3Ku+K9fD09ASAXu1ERHR7YWFFRER3PHd3d9XPOp1O1dZTDHV3dwMALl++jFmzZqGsrEz1OH/+fK+P8vUwmUxoa2tDR0eH0ubj44PPP/8cu3btQnBwMNasWYPY2FjYbDYlpqmpCQAQEBAwLNdKRETOwcKKiIjoBvHx8Th79izGjx+PiIgI1WPUqFF9HnP//fcDACorK1Xtbm5uSElJwYYNG1BeXo6LFy/iyJEjSn9FRQXGjh0Lk8lkt+shIiL7Y2FFRER0g+zsbDQ1NWH+/Pn47LPPUFVVhY8++giLFi1CV1dXn8cEBAQgPj4ex44dU9ref/99/PGPf0RZWRlqamrw9ttvo7u7G1FRUUrM0aNHkZqaavdrIiIi+2JhRUREdAOLxYLjx4+jq6sLqampiImJwYoVK2A0GuHi0v9/nUuWLMHOnTuVn41GI/bu3Ytp06bhvvvuw+uvv45du3Zh4sSJAIArV65g//79yMrKsvs1ERGRffELgomIiIZJe3s7oqKisGfPHiQlJQ0an5+fj3379uFvf/ubA0ZHRET2xHesiIiIhomnpyfefvvtAb9I+Hru7u7YvHmznUdFRESOwHesiIiIiIiINOI7VkRERERERBqxsCIiIiIiItKIhRUREREREZFGLKyIiIiIiIg0YmFFRERERESkEQsrIiIiIiIijVhYERERERERacTCioiIiIiISCMWVkRERERERBr9DxH+MOMa8fp8AAAAAElFTkSuQmCC",
+ "image/png": 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w4IDaZeTbpk2b1C5BFBJ5tyu4npLJ8MUH2BN9neSM7Nued7HXk5Zp4M9/L3LoQgJf96xL1QBZ3yWEEEKIouXg4FCgFuRCFBYJSYL5O6PZGHUFMO3EXb2sKzXKulMryI2age4Eezryz7kbDF24nzNXU+jyzXbGdKpGjwZBMv1OCCGEEEKUOBKSSrlsg5FFu88B8HGX6nSvH4Red3s/j3rBHqx8rRlvLvmXDccu8+6ySCJOxzNept8JIYQQQogSRrrblXIbjl0mLjEdLydbnnk08I4BKZeHky2z+zzKqPaV0Wk1LP/3Ik99uY2jsYnFWLEQQgghhBBFS0JSKffTrhgAnnk0CDu97r7Ha7UaXmlRgcWvNMLfzZ7TV1Po8vV2Fu2OKepShRBCCCGEKBYSkkqxmPhUtpwwrUXq2aBcgX62XrAnK19rRquwMmRkG3lnaSSL95wrijKFEEIIIYQoVhKSSrGf98SgKND8kTKU83Is8M97Otkyp299BraoAMAHfxziWJxMvRNCCCHEvY0ZMwZfX180Gg2///47/fr1o0uXLubnW7Zsyeuvv65afUUpJCSEadOmqV2GuA8JSaVUZrbRPPJT0FGkW2m1Gt5uG0aLR0wjSq/+tP+ObcSFEEIIYV369euHRqNBo9Fga2tLxYoVGTduHNnZD/f/+aNHjzJ27FhmzJhBbGws7du3Z/r06cybN++hax44cCAajeaOIWTlypU0bNgQBwcHPDw88oSy+Ph42rVrR0BAAHZ2dgQFBTFkyBASEy37w99NmzaZ/xn997Znzx4A0tPT6devHzVq1ECv1+d53bm2bdtGkyZN8PLywsHBgcqVKzN16tQ8x3z77bfUrFkTV1dXXF1dCQ8P56+//sp3rYsWLUKj0eS5flZWFiNHjqRGjRo4OTkREBBAnz59uHjx4gP9PgqThKRSas3hOOJTMvF1tePxKj4PdS6tVsPU52rj52rP6SspvLcsEkVRCqlSIYQQQqilXbt2xMbGcuLECd58803GjBnDpEmT7nhsZmZmvs556tQpADp37oyfnx92dna4ubnh7u7+ULUuW7aMiIgIAgICbnvut99+o3fv3rzwwgv8+++/bN++nZ49e5qf12q1dO7cmeXLl3P8+HHmzZvHunXrGDhw4EPVVNQaN25MbGxsntvLL79MaGgojz76KAAGgwEHBwdee+01WrdufcfzODk5MWTIELZs2cLRo0d5//33ef/995k5c6b5mMDAQD799FP27dvH3r17eeyxx+jcuTOHDx++b53R0dG89dZbNGvWLM/jqamp7N+/nw8++ID9+/ezdOlSoqKieOqppx7it1JIlBIuISFBAZSEhAS1S7Eoz83YoQSPXKFM/juq0M6550y8Un7USiV45Arlx4joQjuvEEIIYa3S0tKUI0eOKGlpaTcfNBoVJSNZnZvRmO/a+/btq3Tu3DnPY23atFEaNWqU5/mPP/5Y8ff3V0JCQhRFUZSDBw8qrVq1Uuzt7RVPT0+lf//+SlJSkqIoijJ69GgFyHO707VatGihDBs2LN+1nj9/Xilbtqxy6NAhJTg4WJk6dar5uaysLKVs2bLK7Nmz830+RVGU6dOnK4GBgQX6mRYtWiiDBw9WBg8erLi6uipeXl7K+++/rxhv+b3/t75Zs2Ypbm5uyrp16wp0rTvJzMxUypQpo4wbN+6Oz9/pn+nd/O9//1Oef/75ex7j4eFx399rdna20rhxY2X27Nn5uv7u3bsVQDl79my+6ryTO/7d5chvNpANbkqhk5eTiTh9Da0GutcPKrTzPhriyYi2YXz61zHG/nmEWoHuVC/rVmjnF0IIIUqErFQYf/toR7F49yLYOj3wjzs4OBAfH2++v379elxdXVm7di0AKSkptG3blvDwcPbs2cPly5d5+eWXGTJkCPPmzeOtt94iJCSEF154gdjY2Id+OQBGo5HevXszYsQIqlWrdtvz+/fv58KFC2i1WurUqUNcXBy1a9dm0qRJVK9e/Y7nvHjxIkuXLqVFixYFrmf+/Pm89NJL7N69m7179zJgwADKlStH//79bzt24sSJTJw4kb///psGDRoAMH78eMaPH3/Paxw5coRy5W5fLrF8+XLi4+N54YUXClz3rf755x927NjBxx9/fMfnDQYDS5YsISUlhfDw8Huea9y4cfj4+PDSSy+xdevW+147ISEBjUbz0COLD0tCUim0MKft92OVfQlwdyjUcw9oVp49Z66x/thlhizcz59Dm+Jib1Oo1xBCCCFE8VIUhfXr17NmzRqGDh1qftzJyYnZs2dja2sLwKxZs0hPT2fBggU4OZnC2FdffUWnTp347LPP8PX1Nb/59fPzK5TaPvvsM/R6Pa+99todnz99+jRgahYxZcoUQkJCmDx5Mi1btuT48eN4enqaj+3Rowd//PEHaWlpdOrUidmzZxe4nqCgIKZOnYpGoyEsLIzIyEimTp16W0gaOXIkP/zwA5s3b84T7gYOHMizzz57z2vcaUohwJw5c2jbti2BgYEFrhtMU+quXLlCdnY2Y8aM4eWXX87zfGRkJOHh4aSnp+Ps7MyyZcuoWrXqXc+3bds25syZw4EDB/J1/fT0dEaOHEmPHj1wdXV9oNdQWCQklTLpWQZ+3Wdq2NCr0YM3bLgbrVbD5Gdr0fGLbUTHp/LOb5F81bMOGo2m0K8lhBBCWCUbR9OIjlrXLoAVK1bg7OxMVlYWRqORnj17MmbMGPPzNWrUMAckMDVlqFWrljkgATRp0gSj0UhUVBS+vr4P/RJutW/fPqZPn87+/fvv+l7DaDQC8N5779GtWzcA5s6dS2BgIEuWLOGVV14xHzt16lRGjx7N8ePHGTVqFMOHD+ebb74pUE2NGjXKU0t4eDiTJ0/GYDCg05n2pJw8eTIpKSns3buX8uXL5/l5T0/PPMEtv86fP8+aNWtYvHhxgX8219atW0lOTiYiIoJ33nmHihUr0qNHD/PzYWFhHDhwgISEBH799Vf69u3L5s2b7xiUkpKS6N27N7NmzcLb2/u+187KyuLZZ59FURS+/fbbB34NhUVCUimz4mAsienZBHo40LxSmSK5hrujLV/2rMOz3+1kZWQsDSM86RMeUiTXEkIIIayORvNQU96KU6tWrfj222+xtbUlICAAvT7vW8dbw5Aatm7dyuXLl/NMPTMYDLz55ptMmzaN6Oho/P39AfK8kbezs6N8+fLExMTkOZ+fnx9+fn5UrlwZT09PmjVrxgcffGA+R2Fp1qwZK1euZPHixbzzzjt5nnvQ6XZz587Fy8vroZoehIaGAqbwe+nSJcaMGZMnJOV2OQSoV68ee/bsYfr06cyYMeO2c506dYro6Gg6depkfiw3sOr1eqKioqhQwbSNTG5AOnv2LBs2bFB9FAkkJJU6P+06C0CPBuXQaYtudKduOQ/eaV+Zj1ce5aMVR6gd5E7NQPciu54QQgghCp+Tk5P5TXF+VKlShXnz5pGSkmIOUNu3b0er1RIWFlbo9fXu3fu2jm1t27Y1d7ID05t5Ozs7oqKiaNq0KWB6Ux4dHU1wcPBdz537hj4jI6NANe3atSvP/YiICCpVqmQeRQJo0KABQ4YMoV27duj1et566y3zcw8y3U5RFObOnUufPn2wsSmcZQ5Go/G+r/1ex1SuXJnIyMg8j73//vskJSUxffp0goJM6+JzA9KJEyfYuHEjXl5ehVL/w5KQVIocvpjAPzE30Gs1PPto4TVsuJuXmoay+8w1/j5yicEL97NiaDPcHGR9khBCCFFS9erVi9GjR9O3b1/GjBnDlStXGDp0KL179y70qXYAXl5et72ptrGxwc/PzxzKXF1dGThwIKNHjyYoKIjg4GBzG/NnnnkGgFWrVnHp0iXq16+Ps7Mzhw8fZsSIETRp0oSQkJAC1RQTE8Pw4cN55ZVX2L9/P19++SWTJ0++7bjGjRuzatUq2rdvj16vN2+e+yDT7TZs2MCZM2duW0OU68iRI2RmZnLt2jWSkpLMa4Rq164NwNdff025cuWoXLkyAFu2bOHzzz/Ps85r1KhRtG/fnnLlypGUlMTChQvZtGkTa9asMR/Tp08fypYty4QJE7C3t7+tMUbuerTcx7Oysnj66afZv38/K1aswGAwEBcXZ/493DqVs7hJSCpFchs2tK3uRxkXuyK/nkajYdLTtTj61VbOXUvjvWWRfNWzbpFfVwghhBDqcHR0ZM2aNQwbNoz69evj6OhIt27dmDJliqp1TZo0Cb1eT+/evUlLS6Nhw4Zs2LABDw8PwNS1b9asWbzxxhtkZGQQFBRE165d80yFi46OJjQ0lI0bN9KyZcu7XqtPnz6kpaXRoEEDdDodw4YNY8CAAXc8tmnTpqxcuZIOHTqg0+nyNMUoiDlz5tC4cWNzyPmvDh06cPbsWfP9OnXqAJj3tTQajYwaNYozZ86g1+upUKECn332WZ71WpcvX6ZPnz7Exsbi5uZGzZo1WbNmDW3atDEfExMTg1ab/21YL1y4wPLly4GbgS3X/X7PRU2jKCV718/ExETc3NxISEiwiPmNaknPMlDvo7WkZBpY2L8hjSvcfwFdYfn33A26frsDg1Fhbr/6tKr8cJvXCiGEENYiPT2dM2fOEBoair29vdrliIewceNGunbtyunTp83h6r9atmxJ7dq1mTZtWvEWJ/K4199dfrNB/qOesGpnrqaQkmnAzcGG8PLFO9ezVpA7LzYJAeD93w+RmpldrNcXQgghhHhYq1at4t13371rQBIli0y3KyXOXUsFINjLUZV23G+0eYRVkXFcuJHG1LXHea/j3XvqCyGEEEKAqXtd+/bt7/p8cnJysdWSu45JlA4SkkqJmJyQFORZsP0RCoujrZ6Pu1TnhXl7mLPtDJ1rl6V6WTdVahFCCCGEdXj00UfzvRGpJdi0aZPaJYhCIiGplMgdSSqnUkgCaFXZh441/Vl5MJZRSyNZ9mpj9DqZ8SmEEEKIO3NwcChQC3IhCou8Qy0lYiwgJAGM7lQVF3s9kRcSmL/z7P1/QAghhBBCiGImIamUOHc9DYAgD3VDko+LPe+0N7WnnPx3FBdupKlajxBCCCGEEP8lIakUMBoVi5hul6tH/XI8GuxBaqaB0X8cooR3oRdCCCGEEFZGQlIpcCU5g4xsIzqtBn939fdo0Go1jO9aAxudhnVHL7P6UJzaJQkhhBBCCGEmIakUyF2PFOBuj42FNEp4xNeFV5pXAGD08sMkpmepXJEQQgghhBAmlvGOWRSp3Kl2aq9H+q8hj1UkxMuRy0kZTFodpXY5QgghhCgmY8aMwdfXF41Gw++//06/fv3o0qWL+fmWLVvy+uuvq1ZfUQoJCWHatGlqlyHuQ0JSKWApne3+y95Gxyf/qwHAj7vOsu/sdZUrEkIIIUSufv36odFo0Gg02NraUrFiRcaNG0d2dvZDnffo0aOMHTuWGTNmEBsbS/v27Zk+fTrz5s176Dpzb+3atbvtuJUrV9KwYUMcHBzw8PDIE8r+/fdfevToQVBQEA4ODlSpUoXp06c/4CssXvv376dNmza4u7vj5eXFgAED7rjJ7rx586hZsyb29vb4+PgwePBg83Njxoy57Xeo0WhwcnIyHzNr1iyaNWuGh4cHHh4etG7dmt27d9+ztqVLl9KmTRvKlCmDq6sr4eHhrFmzJs8xd7p25cqVH/K38vBUDUnffvstNWvWxNXV1fyL++uvv8zPt2zZ8rZf2sCBA1Ws2DqpvZHsvTSp6E23uoEoCry7NJIsg1HtkoQQQgiRo127dsTGxnLixAnefPNNxowZw6RJk+54bGZmZr7OeerUKQA6d+6Mn58fdnZ2uLm54e7u/tB15t5+/vnnPM//9ttv9O7dmxdeeIF///2X7du307NnT/Pz+/btw8fHhx9//JHDhw/z3nvvMWrUKL766qsHrqk4XLx4kdatW1OxYkV27drF6tWrOXz4MP369ctz3JQpU3jvvfd45513OHz4MOvWraNt27bm59966608v7/Y2FiqVq3KM888Yz5m06ZN9OjRg40bN7Jz506CgoJ44oknuHDhwl3r27JlC23atGHVqlXs27ePVq1a0alTJ/755588x1WrVi3Ptbdt21Y4v6CHoaho+fLlysqVK5Xjx48rUVFRyrvvvqvY2Ngohw4dUhRFUVq0aKH0799fiY2NNd8SEhIKdI2EhAQFKPDPlSRPf7tdCR65Qll+4ILapdxRfHKGUnvsGiV45Apl1pZTapcjhBBCFJq0tDTlyJEjSlpamtqlFFjfvn2Vzp0753msTZs2SqNGjfI8//HHHyv+/v5KSEiIoiiKcvDgQaVVq1aKvb294unpqfTv319JSkpSFEVRRo8erQB5bne6VosWLZRhw4Y9cJ23ysrKUsqWLavMnj07fy88x6uvvqq0atWqQD/TokULZfDgwcrgwYMVV1dXxcvLS3n//fcVo9FoPiY4OFiZOnWq+f6sWbMUNzc3Zd26dQW6lqIoyowZMxQfHx/FYDCYHzt48KACKCdOnFAURVGuXbumODg4FOj8Bw4cUABly5Ytdz0mOztbcXFxUebPn1+gmqtWraqMHTvWfH/06NFKrVq1CnSO+7nX311+s4GqI0mdOnWiQ4cOVKpUiUceeYRPPvkEZ2dnIiIizMc4Ojri5+dnvrm6uqpYsXU6dy1njyQLHEkC8HSyZWQ707DqlxtOkpAqTRyEEEKUXIqikJqVqspNechtNxwcHPKMGK1fv56oqCjWrl3LihUrSElJoW3btnh4eLBnzx6WLFnCunXrGDJkCGAasZg7dy6AedSgMGzatAkfHx/CwsIYNGgQ8fHx5uf279/PhQsX0Gq11KlTB39/f9q3b8+hQ4fuec6EhAQ8PT0LXMv8+fPR6/Xs3r2b6dOnM2XKFGbPnn3HYydOnMg777zD33//zeOPPw7A+PHjcXZ2vuctJiYGgIyMDGxtbdFqb76ld3BwADCPxqxduxaj0ciFCxeoUqUKgYGBPPvss5w7d+6ur2H27Nk88sgjNGvW7K7HpKamkpWVVaDfkdFoJCkp6bafOXHiBAEBAZQvX55evXqZX5+a9GoXkMtgMLBkyRJSUlIIDw83P/7TTz/x448/4ufnR6dOnfjggw9wdLz7m/2MjAwyMjLM9xMTE4u0bkuXnmUgLjEdsLw1Sbd65tEgvt9+huOXkvl600ne7VBF7ZKEEEKIIpGWnUbDhQ1VufaunrtwtCn4+wFFUVi/fj1r1qxh6NCh5sednJyYPXs2tra2gGndSnp6OgsWLDCvZ/nqq6/o1KkTn332Gb6+vuZpdX5+fg//gjBNtevatSuhoaGcOnWKd999l/bt27Nz5050Oh2nT58GTGtfpkyZQkhICJMnT6Zly5YcP378jm/yd+zYwS+//MLKlSsLXE9QUBBTp05Fo9EQFhZGZGQkU6dOpX///nmOGzlyJD/88AObN2+mWrVq5scHDhzIs88+e89rBAQEAPDYY48xfPhwJk2axLBhw0hJSeGdd94BMAfQ06dPYzQaGT9+PNOnT8fNzY3333+fNm3acPDgQfM/u1zp6en89NNP5vPczciRIwkICKB169b5+8UAn3/+OcnJyXleX8OGDZk3bx5hYWHExsYyduxYmjVrxqFDh3Bxccn3uQub6iEpMjKS8PBw0tPTcXZ2ZtmyZVStWhWAnj17EhwcTEBAAAcPHmTkyJFERUWxdOnSu55vwoQJjB07trjKt3jnr5tGkZzt9Hg42qhczd3ptBpGta/CC/P2MG97NL0bBVvsyJcQQghRWqxYsQJnZ2eysrIwGo307NmTMWPGmJ+vUaNGnjfZR48epVatWnkW/Ddp0gSj0UhUVBS+vr6FXmP37t3z1FOzZk0qVKjApk2bePzxxzEaTeud33vvPbp16wbA3LlzCQwMZMmSJbzyyit5znfo0CE6d+7M6NGjeeKJJwpcT6NGjdBoNOb74eHhTJ48GYPBgE6nA2Dy5MmkpKSwd+9eypcvn+fnPT098z06U61aNebPn8/w4cMZNWoUOp2O1157DV9fX/PoktFoJCsriy+++ML8en7++Wf8/PzYuHFjnrVJAMuWLSMpKYm+ffve9bqffvopixYtYtOmTdjb528PzoULFzJ27Fj++OMPfHx8zI+3b9/e/H3NmjVp2LAhwcHBLF68mJdeeilf5y4KqoeksLAwDhw4QEJCAr/++it9+/Zl8+bNVK1alQEDBpiPq1GjBv7+/jz++OOcOnWKChUq3PF8o0aNYvjw4eb7iYmJBAUFFfnrsFTnbmnacOsfrCVqGVaGxhW82HEqns//jmJ69zpqlySEEEIUOge9A7t67lLt2gXRqlUrvv32W2xtbQkICECvz/vW8dYwZCnKly+Pt7c3J0+e5PHHH8ff3x/A/CE8gJ2dHeXLl79tWteRI0d4/PHHGTBgAO+//36R1disWTNWrlzJ4sWLbxuxGT9+POPHj7/nzx85coRy5coBpkGFnj17cunSJZycnNBoNEyZMsUcvu70+suUKYO3t/cdp7XNnj2bJ5988q6B9vPPP+fTTz9l3bp11KxZM1+vd9GiRbz88sssWbLkviNP7u7uPPLII5w8eTJf5y4qqoek3JaSAPXq1WPPnj1Mnz6dGTNm3HZsw4amoemTJ0/eNSTZ2dlhZ2dXdAVbmXPXc9t/F+w/imrQaEyjSZ2+2sYfBy7yctPy1Ah0U7ssIYQQolBpNJoHmvKmBicnJ/P7tPyoUqUK8+bNIyUlxRygtm/fjlarJSwsrKjKzOP8+fPEx8ebw0G9evWws7MjKiqKpk2bApCVlUV0dDTBwcHmnzt8+DCPPfYYffv25ZNPPnng6+/alTcAR0REUKlSJfMoEkCDBg0YMmQI7dq1Q6/X89Zbb5mfK8h0u1vlhprvv/8ee3t72rRpA5hG8gCioqIIDAwE4Nq1a1y9ejXP6wc4c+YMGzduZPny5Xe87sSJE/nkk09Ys2YNjz766D1rzPXzzz/z4osvsmjRIjp27Hjf45OTkzl16hS9e/fO1/mLiuoh6b+MRmOeNUW3OnDgAHAzEYv7i4m3zI1k76ZGoBtdagfw+4GLjF91lIX9G1r8CJgQQgghTHr16sXo0aPp27cvY8aM4cqVKwwdOpTevXsXyVS75ORkxo4dS7du3fDz8+PUqVO8/fbbVKxY0TyNzNXVlYEDBzJ69GiCgoIIDg42tzHPbXF96NAhHnvsMdq2bcvw4cOJi4sDQKfTUaZMmQLVFBMTw/Dhw3nllVfYv38/X375JZMnT77tuMaNG7Nq1Srat2+PXq83b55bkOl2YFrz1bhxY5ydnVm7di0jRozg008/Na/9euSRR+jcuTPDhg1j5syZuLq6MmrUKCpXrkyrVq3ynOv77783N7b4r88++4wPP/yQhQsXEhISYv4d5TaTANOMrgsXLrBgwQLANMWub9++TJ8+nYYNG5p/xsHBATc30wfhb731Fp06dSI4OJiLFy8yevRodDodPXr0yPfvoCio2t1u1KhRbNmyhejoaCIjIxk1ahSbNm2iV69enDp1io8++oh9+/YRHR3N8uXL6dOnD82bN8/30J64ZSNZL+sISQBvtQ3DVq9l5+l4NkZdVrscIYQQQuSTo6Mja9as4dq1a9SvX5+nn36axx9/vMj2G9LpdBw8eJCnnnqKRx55hJdeeol69eqxdevWPDOLJk2aRPfu3enduzf169fn7NmzbNiwAQ8PDwB+/fVXrly5wo8//oi/v7/5Vr9+ffM5oqOj0Wg0bNq06Z419enTh7S0NBo0aMDgwYMZNmxYniUkt2ratCkrV67k/fff58svv3yg38Hu3btp06YNNWrUYObMmcyYMYPXXnstzzELFiygYcOGdOzYkRYtWmBjY8Pq1auxsbm5Xt1oNDJv3jz69euXZ9Qr17fffktmZiZPP/10nt/R559/bj4mNjY2zxS+mTNnkp2dzeDBg/P8zLBhw8zHnD9/nh49ehAWFsazzz6Ll5cXERERBQ6nhU2jPGwvyIfw0ksvsX79emJjY3Fzc6NmzZqMHDmSNm3acO7cOZ5//nkOHTpESkoKQUFB/O9//+P9998vUBvwxMRE3NzcSEhIKJXtw9tN28KxuCTmvlCfVmE+9/8BCzFh1VFmbDlNJR9n/hrWDL1O1TwvhBBCPJD09HTOnDlDaGhovhe4C8u0ceNGunbtyunTp83h6r9atmxJ7dq1mTZtWvEWJ/K4199dfrOBqtPt5syZc9fngoKC2Lx5czFWU/IoimLubmfJ7b/v5NVWFfll7zlOXE5myb7z9GhQTu2ShBBCCFGKrVq1inffffeuAUmULPLxfAl2PTWL5IxsAMq6W37jhlu5Odgw9LFKAExZe5yUnNchhBBCiNJj69at99xUtThNmjSJESNGFOs1hXosrnGDKDy565H8XO2xt7l9bqml690omPk7oom5lsqsrad5vfUjapckhBBCiGL06KOPmht3WYP7rVcS1kNCUglmbtpgZVPtctnqtbzdLowhC/9h5pbT9GxYDh8Xmc8thBBClBYODg4FakEuRGGR6XYl2K0byVqrjjX8qR3kTmqmgalrT6hdjhBCCCGEKAUkJJVgN0OSda1HupVGo+G9jlUA+GVPDCcuJalckRBCCCGEKOkkJJVg1j7dLlf9EE+eqOqLUYHPVh9TuxwhhBBCCFHCSUgqwUpKSAIY2b4yOq2GdUcvE3E6Xu1yhBBCCCFECSYhqYTKMhiJTUgHSkZIqlDGmZ45eyV9tOIIBqNqeyALIYQQQogSTkJSCRV7Ix2DUcFOr6WMi53a5RSK11tXwsVez+GLiSzZe07tcoQQQgjxgMaMGYOvry8ajYbff/+dfv360aVLF/PzLVu25PXXX1etvqIUEhLCtGnT1C5D3IeEpBIq5pbOdhqNRuVqCoeXs515r6RJa6JISMtSuSIhhBCi5OrXrx8ajQaNRoOtrS0VK1Zk3LhxZGc/3AbvR48eZezYscyYMYPY2Fjat2/P9OnTmTdv3kOd86mnnsLNzQ0nJyfq169PTEyM+flXXnmFChUq4ODgQJkyZejcuTPHjt1c5zxv3jzza/3v7fLlyw/zcovcJ598QuPGjXF0dMTd3f2Ox7z22mvUq1cPOzs7ateufdvz0dHRd3ztERER5mNatmx5x2M6duxoPmbp0qU88cQTeHl5odFo8rXH1Z1+9/b2d9/yZeDAgWg0miIPmhKSSqiStB7pVn3Cg6lQxon4lEy+XC8twYUQQoii1K5dO2JjYzlx4gRvvvkmY8aMYdKkSXc8NjMzM1/nPHXqFACdO3fGz88POzs73Nzc7voGPz/na9q0KZUrV2bTpk0cPHiQDz74IM8b7Xr16jF37lyOHj3KmjVrUBSFJ554AoPBAMBzzz1HbGxsnlvbtm1p0aIFPj4+D1RXccnMzOSZZ55h0KBB9zzuxRdf5LnnnrvnMevWrcvzO6hXr575uaVLl+Z57tChQ+h0Op555hnzMSkpKTRt2pTPPvusQK/B1dU1z7nPnj17x+OWLVtGREQEAQEBBTr/g5DNZEuoc9dLZkiy0Wn5sFM1+n6/m3k7ouneoBwVfZzVLksIIYQokezs7PDz8wNg0KBBLFu2jOXLlzNq1Cj69evHjRs3qF+/Pl9//TV2dnacOXOGyMhIhg0bxs6dO3F0dKRbt25MmTIFZ2dnxowZw9ixYwHQak2f1SuKYj7X77//XuAa33vvPTp06MDEiRPNj1WoUCHPMQMGDDB/HxISwscff0ytWrWIjo42jzA5ONzcMuXKlSts2LCBOXPmFKiWli1bUr16dQB++OEHbGxsGDRoEOPGjbvrzJ7Zs2fz1ltv8dtvv/H4448X6HqA+fd5r5G4L774AjC9roMHD971OC8vL/M/7//y9PTMc3/RokU4OjrmCUm9e/cGTCNTBaHRaO563VwXLlxg6NChrFmzJs/oVVGRkaQSKnckKdDDevdIupsWj5Th8co+ZBsVPl55RO1yhBBCiAJRFAVjaqoqN0V5uMZHDg4OeUaM1q9fT1RUFGvXrmXFihWkpKTQtm1bPDw82LNnD0uWLGHdunUMGTIEgLfeeou5c+cCmEcNHobRaGTlypU88sgjtG3bFh8fHxo2bHjPsJWSksLcuXMJDQ0lKCjojscsWLAAR0dHnn766QLXNH/+fPR6Pbt372b69OlMmTKF2bNn3/HYiRMn8s477/D333+bA9L48eNxdna+5+3WqYSF6amnnsLHx4emTZuyfPnyex47Z84cunfvjpOT00NfNzk5meDgYIKCgujcuTOHDx/O87zRaKR3796MGDGCatWqPfT18kNGkkqocyV0ul2u95+sypYTV9gUdYUNxy7xWGVftUsSQggh8kVJSyOqbr37H1gEwvbvQ+NY8PcGiqKwfv161qxZw9ChQ82POzk5MXv2bGxtbQGYNWsW6enpLFiwwPzm+auvvqJTp0589tln+Pr6mqfV3W/kID8uX75McnIyn376KR9//DGfffYZq1evpmvXrmzcuJEWLVqYj/3mm294++23SUlJISwsjLVr15rr/q85c+bQs2fPPKNL+RUUFMTUqVPRaDSEhYURGRnJ1KlT6d+/f57jRo4cyQ8//MDmzZvzvPEfOHAgzz777D2vUdjTzZydnZk8eTJNmjRBq9Xy22+/0aVLF37//Xeeeuqp247fvXs3hw4dKvBI252EhYXx/fffU7NmTRISEvj8889p3Lgxhw8fJjAwEIDPPvsMvV7Pa6+99tDXyy8JSSWUeU2SV8kMSaHeTrzYJJQZW07z0YqjNK1YBlu9DIwKIYQQhWnFihU4OzuTlZWF0WikZ8+ejBkzxvx8jRo18gSNo0ePUqtWrTyjC02aNMFoNBIVFYWvb+F+qGk0GgHT+qY33ngDgNq1a7Njxw6+++67PCGpV69etGnThtjYWD7//HOeffZZtm/ffluTgJ07d3L06FF++OGHB6qpUaNGeabWhYeHM3nyZAwGAzqdDoDJkyeTkpLC3r17KV++fJ6f9/T0vG1qW1Hz9vZm+PDh5vv169fn4sWLTJo06Y4hac6cOdSoUYMGDRo89LXDw8MJDw8332/cuDFVqlRhxowZfPTRR+zbt4/p06ezf//+Ym1GJiGpBEpMz+JGqqnzW5BHyQxJAEMeq8hv+y9w5moK83acYUDzCvf/ISGEEEJlGgcHwvbvU+3aBdGqVSu+/fZbbG1tCQgIQK/P+9axMKZaPQxvb2/0ej1Vq1bN83iVKlXYtm1bnsfc3Nxwc3OjUqVKNGrUCA8PD5YtW0aPHj3yHDd79mxq166dp2lBYWvWrBkrV65k8eLFvPPOO3meGz9+POPHj7/nzx85coRy5coVWX0ADRs2ZO3atbc9npKSwqJFixg3blyRXNfGxoY6depw8uRJALZu3crly5fzvF6DwcCbb77JtGnTCrz+Kb8kJJVAuVPtvJxscbIruf+IXextGNkujBG/HuSL9SfpUqcsPi53bxkphBBCWAKNRvNAU97U4OTkRMWKFfN9fJUqVZg3bx4pKSnmALV9+3a0Wi1hYWGFXp+trS3169cnKioqz+PHjx8nODj4rj+nKAqKopCRkZHn8eTkZBYvXsyECRMeuKZdu3bluR8REUGlSpXMo0gADRo0YMiQIbRr1w69Xs9bb71lfk6N6XZ3cuDAAfz9/W97fMmSJWRkZPD8888XyXUNBgORkZF06NABMDWDaN26dZ5j2rZtS+/evXnhhReKpAaQkFQinbtlj6SSrlvdQH6MOMu/5xP4fE0UE5+upXZJQgghRKnVq1cvRo8eTd++fRkzZgxXrlxh6NCh9O7du9Cn2uUaMWIEzz33HM2bN6dVq1asXr2aP//8k02bNgFw+vRpfvnlF5544gnKlCnD+fPn+fTTT3FwcDC/Ec/1yy+/kJ2d/VABICYmhuHDh/PKK6+wf/9+vvzySyZPnnzbcY0bN2bVqlW0b98evV5v3jy3oNPtYmJiuHbtGjExMRgMBvPeRBUrVsTZ2dQB+OTJkyQnJxMXF0daWpr5mKpVq2Jra8v8+fOxtbWlTp06gKnd9/fff3/HhhNz5syhS5cueHl53fZcbh0XL14EMIdXPz8/8xq0Pn36ULZsWXMQHTduHI0aNaJixYrcuHGDSZMmcfbsWV5++WXA1HHvv9eysbHBz8+vSIJ3LglJJVBJ3SPpTrRaDR92qka3b3ewZN95nm8UTM1Ad7XLEkIIIUolR0dH1qxZw7Bhw6hfv36eFuBF5X//+x/fffcdEyZM4LXXXiMsLIzffvuNpk2bAmBvb8/WrVuZNm0a169fx9fXl+bNm7Njx47b9kCaM2cOXbt2veOeTdHR0YSGhrJx40Zatmx513r69OlDWloaDRo0QKfTMWzYsDwtyG/VtGlTVq5cSYcOHdDpdHmaYuTXhx9+yPz58833c4POrXW+/PLLbN68+bZjzpw5Q0hICAAfffQRZ8+eRa/XU7lyZX755ZfbuvtFRUWxbds2/v777zvWsnz58jyjO927dwdg9OjR5rVsMTEx5vbvANevX6d///7ExcXh4eFBvXr12LFjx21TKIubRnnYXpAWLjExETc3NxISEnB1dVW7nGLxwe+H+CHiLENaVeSttkWXsC3JG78cYNk/F6hbzp3fBjUu1oV9QgghxN2kp6dz5swZQkNDb2sQIKzLxo0b6dq1K6dPn8bDw+OOx7Rs2ZLatWszbdq04i1O5HGvv7v8ZgNpB1YCxZin25W8PZLuZmS7yjja6tgfc4M/DlxUuxwhhBBClDCrVq3i3XffvWtAEiWLhKQSqDStScrl52bP4FamhaUT/jpKSka2yhUJIYQQ4mFt3br1npuqFqdJkyYxYsSIYr2mUI+sSSphjEaF89fTgNKxJulWLzUNZdGeGM5dS+PbTadKzVRDIYQQoqR69NFHzU0GrEFuswhh/SQklTCXktLJNBjRazX4u5We6XYA9jY63utQlYE/7mPm1tM8Vz+oVI2mCSGEECWNg4NDgVqQC1FYZLpdCRMTb5pqF+jhgE5b+poXtK3mS5OKXmRmG/lk5VG1yxFCCCEA0748QojiURh/bxKSSpiYUrge6VYajYYPn6yGTqth9eE4tp64onZJQgghSjEbGxsAUlNTVa5EiNIj9+8t9+/vQch0uxKmNDZt+K8wPxd6Nwpm3o5oRi2NZM3rzXGyk3/VhRBCFD+dToe7uzuXL18GTPsIyTYVQhQNRVFITU3l8uXLuLu7o9PpHvhc8s6xhDlXSps2/NeItmGsPXKJ89fTmLj6GGM7V1e7JCGEEKWUn58fgDkoCSGKlru7u/nv7kFJSCphcqfblfaQ5GSn57NuNXl+zi7m7zxLhxr+NCzvpXZZQgghSiGNRoO/vz8+Pj5kZWWpXY4QJZqNjc1DjSDlkpBUwpjXJHmU7pAE0LSSNz0aBPHz7nO8/dtBVg9rjoPtw//RCCGEEA9Cp9MVyps3IUTRk8YNJUhapoErSRmAjCTlGtWhCv5u9pyNT+Xzv6PULkcIIYQQQlgBCUklyMUE03okZzs9bo4P3s2jJHG1t2F81xoAfL/9DPvOXlO5IiGEEEIIYekkJJUgcQnpAPi72atciWVpFeZDt7qBKAqM+PUg6VkGtUsSQgghhBAWTEJSCRKbE5L8JCTd5sMnq+LjYsfpKylMW3dC7XKEEEIIIYQFk5BUgsTlTLfzc5WQ9F9ujjZ88j/TtLuZW07x77kb6hYkhBBCCCEsloSkEiQuUabb3Uubqr50rh2AUYERv/5LRrZMuxNCCCGEELeTkFSCxJmn2zmoXInlGtOpGt7Othy/lMxXG06qXY4QQgghhLBAEpJKkFhp3HBfHk62jOtcHYBvNp3i0IUElSsSQgghhBCWRkJSCZI7kuQra5LuqUMNfzrU8MNgVBjx60GyDEa1SxJCCCGEEBZEQlIJkZFtID4lE5CRpPwY17k6Ho42HI1N5NtNp9QuRwghhBBCWBAJSSXE5cQMAOz0WtxlI9n78na2Y8xT1QD4csMJjsUlqlyREEIIIYSwFBKSSohb90jSaDQqV2MdnqoVQJuqvmQZFEYsOUi2TLsTQgghhBBISCoxctt/yx5J+afRaPikS3Vc7fVEXkhg5tbTapckhBBCCCEsgISkEiJ3I1lZj1QwPq72fNjJNO1u2toT0u1OCCGEEEJISCopYmWPpAfWrW5ZWlfxJdNgZOCP+7iRmql2SUIIIYQQQkUSkkoI80ayrnYqV2J9NBoNk5+tRTlPR85fT+ONXw5gNCpqlyWEEEIIIVQiIamEMK9JkpGkB+LmYMO3z9fFTq9lY9QVvtxwUu2ShBBCCCGESiQklRC5I0myJunBVQtwY/z/agAwbf1xNkVdVrkiIYQQQgihBglJJYDBqHA5ybRPkp+EpIfSrV4gvRqWQ1Fg2KIDnLuWqnZJQgghhBCimElIKgGuJmdgMCrotBq8nWVN0sP6sFNVagW5k5CWxaCf9pGeZVC7JCGEEEIIUYwkJJUAuZ3tfF3s0GllI9mHZafX8U2vung62XLoQiKj/zisdklCCCGEEKIYSUgqAXL3SPKVqXaFpqy7A190r4NWA7/sPcei3TFqlySEEEIIIYqJhKQSIFaaNhSJppW8efOJMAA+XH6YyPOy0awQQgghRGkgIakEMLf/dpX234VtUIsKpo1ms00bzV5PkY1mhRBCCCFKOglJJYC0/y46Wq1po9lgL0cu3Ehj2C8HMMhGs0IIIYQQJZqEpBLA3LhBQlKRcHOw4bvn62Fvo2XL8StMX39C7ZKEEEIIIUQRkpBUAlxKlJGkolbF35UJXU0bzX6x/gQbjl1SuSIhhBBCCFFUJCRZOUVRzCNJfq4SkorS/+oE0rtRMACvLzpATLxsNCuEEEIIURJJSLJy11OzyMw2AuArIanIffBkVeqUcycxPZuBP8pGs0IIIYQQJZGEJCsXm7NHkrezLbZ6+cdZ1Gz1Wr7pVRcvJ1uOxCbyzm8HURRp5CCEEEIIUZLIu2orl7seyU/WIxUbfzcHvuxRB51Ww+8HLvLp6mNqlySEEEIIIQqRhCQrd3M9kuyRVJwaV/Tm05xGDjM2n2b21tMqVySEEEIIIQqLhCQrl7tHkp+bncqVlD7PPBrEyHaVAfh45VGW/XNe5YqEEEIIIURhkJBk5WLNG8nKSJIaBrYoz0tNQwEYseQgm6Iuq1yREEIIIYR4WKqGpG+//ZaaNWvi6uqKq6sr4eHh/PXXX+bn09PTGTx4MF5eXjg7O9OtWzcuXZL9aW5lXpMkne1UodFoeK9DFTrXDiDbqDDox/38E3Nd7bKEEEIIIcRDUDUkBQYG8umnn7Jv3z727t3LY489RufOnTl8+DAAb7zxBn/++SdLlixh8+bNXLx4ka5du6pZssUxr0mSxg2q0Wo1THq6Fs0qeZOWZeDFeXs4eTlZ7bKEEEIIIcQD0igW1r/Y09OTSZMm8fTTT1OmTBkWLlzI008/DcCxY8eoUqUKO3fupFGjRvk6X2JiIm5ubiQkJODq6lqUpaui+ug1JGdks/7NFlQo46x2OaVaSkY2PWdF8O/5BMq6O/DboMYSXoUQQgghLEh+s4HFrEkyGAwsWrSIlJQUwsPD2bdvH1lZWbRu3dp8TOXKlSlXrhw7d+6863kyMjJITEzMcyupktKzSM7IBmS6nSVwstPzfb/6lPd24sKNNPp+v5uE1Cy1yxJCCCGEEAWkekiKjIzE2dkZOzs7Bg4cyLJly6hatSpxcXHY2tri7u6e53hfX1/i4uLuer4JEybg5uZmvgUFBRXxK1BP7nokV3s9TnZ6lasRAF7Odsx/sQE+LnZEXUripfl7SM8yqF2WEEIIIYQoANVDUlhYGAcOHGDXrl0MGjSIvn37cuTIkQc+36hRo0hISDDfzp07V4jVWhZZj2SZgjwdmf9iA1zs9ew9e50hC/8h22BUuywhhBBCCJFPqockW1tbKlasSL169ZgwYQK1atVi+vTp+Pn5kZmZyY0bN/Icf+nSJfz8/O56Pjs7O3O3vNxbSXUzJEn7b0tTxd+VOX3rY6vXsu7oJd5dFomFLf8TQgghhBB3oXpI+i+j0UhGRgb16tXDxsaG9evXm5+LiooiJiaG8PBwFSu0HJdy90iS9UgWqUGoJ1/2qINWA4v3nufzv6PULkkIIYQQQuSDqgtZRo0aRfv27SlXrhxJSUksXLiQTZs2sWbNGtzc3HjppZcYPnw4np6euLq6MnToUMLDw/Pd2a6ki81Zk+Qr0+0sVttqfoz/Xw3eWRrJ1xtP4e1sxwtNQtUuSwghhBBC3IOqIeny5cv06dOH2NhY3NzcqFmzJmvWrKFNmzYATJ06Fa1WS7du3cjIyKBt27Z88803apZsUeJyR5IkJFm07g3KcTU5g8//Ps64FUfwcrbjqVoBapclhBBCCCHuwuL2SSpsJXmfpA7Tt3IkNpG5L9SnVZiP2uWIe1AUhTHLDzN/51lsdBq+6lmXttXuvrZOCCGEEEIUPqvbJ0kUXFyijCRZC41Gw4edqvFUrQCyDAqDf9rPX5GxapclhBBCCCHuQEKSlUrPMnAtJROQjWSthU6rYcqztehcO4Bso8KQn//hz38vql2WEEIIIYT4DwlJVip3I1l7Gy1uDjYqVyPyS6/TMuXZ2nStWxaDUWHYon/448AFtcsSQgghhBC3kJBkpW42bXBAo9GoXI0oCJ1Ww6Sna/Hso4EYFXjjlwP8tu+82mUJIYQQQogcEpKsVO56JF9XO5UrEQ9Cp9Xwadea9GhQDqMCb/36L4v3nFO7LCGEEEIIgYQkqxV7y0iSsE5arYZPulSnd6NgFAXe/u0gC3fFqF2WEEIIIUSpJyHJSuVOt/OTznZWTavVMK5zNV5oEgLAu8siWbAzWtWahBBCCCFKOwlJVsockqSzndXTaDR8+GRV+jcLBeDDPw7z/bYzKlclhBBCCFF6SUiyUrGJMpJUkmg0Gt7tUIVBLSsAMG7FEWZtOa1yVUIIIYQQpZOEJCsVl5AGyEayJYlGo+HttmG89lhFAD5ZdZRvNp1UuSohhBBCiNJHQpIVyjYYuZKUAchIUkmj0WgY/kQYb7R+BICJq6P4Yv0JlasSQgghhChdJCRZoSvJGRgV0Gs1eDtJC/CSaFjrSoxoGwbAlLXHmbL2OIqiqFyVEEIIIUTpICHJCuW2//Z1tUerlY1kS6rBrSoyqn1lAL5Yf4LP/46SoCSEEEIIUQwkJFmhS9L+u9R4pUUF3u9YBYCvN57igz8OYTBKUBJCCCGEKEoSkqxQrLT/LlVeblaejzpXQ6OBHyNiGPTjPtKzDGqXJYQQQghRYklIskLXUzMB8HK2VbkSUVx6h4fwTc+62Oq1/H3kEj1nRXA9JVPtsoQQQgghSiQJSVYoJcM0iuBkp1e5ElGc2tfw58eXGuJqr2d/zA26fbeDc9dS1S5LCCGEEKLEkZBkhVIzswFwstWpXIkobg1CPfltUGMC3Ow5fSWFrt/u4PDFBLXLEkIIIYQoUSQkWaHkDFNIcrSVkaTSqJKvC0tfbUJlPxeuJGXw3IwItp+8qnZZQgghhBAlhoQkK5SaaZpu5yzT7UotPzd7Fg8Mp1F5T5Izsuk3dze//3NB7bKEEEIIIUoECUlWKCV3JMlOptuVZq72Nsx/sQFP1vQny6Dw+i8HmLH5lOylJIQQQgjxkCQkWaEU85okGUkq7ez0Or7oXoeXm4YCMOGvY4z984jspSSEEEII8RAkJFmhVOluJ26h1Wp4/8mq5k1n5+2IZujP+2UvJSGEEEKIByQhyQrdbNwg0+3ETS83K88XPepgq9OyKjKOPt/vJiE1S+2yhBBCCCGsjoQkKySNG8TdPFUrgHkv1sfFTs/uM9d4ZsYOLt5IU7ssIYQQQgirIiHJyiiKYl6TJI0bxJ00ruDN4oHh+LracfxSMl2/2UFUXJLaZQkhhBBCWA0JSVYmLctAbvMyadwg7qaKvytLX21CRR9n4hLT6fbtDhbvPSed74QQQggh8kFCkpVJyWnaoNGAg42MJIm7K+vuwK8Dw2kYatpL6e1fD9J/wV4uJ6WrXZoQQgghhEWTkGRlzHsk2ejQajUqVyMsnbujLQv7N+Kd9pWx1WlZd/QyT0zdwoqDF9UuTQghhBDCYklIsjLmPZKkaYPIJ51Ww8AWFfhzaFOqBbhyIzWLIQv/YcjC/VxPyVS7PCGEEEIIiyMhycrkdraTkCQKKszPhWWvNuG1xyuh02pYcTCWJ6ZtYf3RS2qXJoQQQghhUSQkWRnZI0k8DFu9luFtHmHZq42p6OPMlaQMXpq/l7d//ZekdNlTSQghhBACJCRZndQMGUkSD69moDsrhjZlQPPyaDSweO952k3byo6TV9UuTQghhBBCdRKSrExu4wYnGUkSD8neRse7Harwy4Bwynk6cuFGGj1n72L0H4dIzVn7JoQQQghRGklIsjI3N5KVkSRROBqEevLXsGY836gcAPN3nqXD9K3sO3tN5cqEEEIIIdQhIcnK5DZucJaNZEUhcrLT83GXGix4sQF+rvZEx6fyzHc7+fSvY2RkG9QuTwghhBCiWElIsjLmxg12Mt1OFL7mj5RhzRvN6Vq3LEYFvtt8iqe+3M6xuES1SxPCYly8kcanfx2j1eebeOWHvZy6kqx2SUIIIQqZDEdYmdSckOQs0+1EEXFzsGHKs7VpW82P95ZFEnUpie4zI1j8SjiP+LqoXZ4QqlAUhX1nrzN3ezSrD8dhMCoAnLmawvqjl3m+UTCvPV4JTydblSsVQghRGGQkycok53S3c5TpdqKIta3mx5rXm1MryJ0bqVk8P3sXMfGpapclRLHKyDawdP95nvpqO09/t5OVkbEYjArh5b2Y8mwtWlfxIduoMG9HNC0mbWTmllMyRVUIIUoAeadtZXK7jjnJdDtRDLyc7Zj/Qn2emxFB1KUknp+ziyUDw/F1tVe7NCGK1OWkdBbuiuHHiBiuJmcAYKfX0qV2Wfo1CaGKvysAXesGsuPkVT5eeZQjsYmMX3WMHyLO8k67KnSo4YdGo1HzZQghhHhAEpKsTEpO4wYnGUkSxcTd0ZYfXmrAMzN2cjY+ledn72LxK+F4yLQiUQJFnk9g7vYzrDgYS6bBCICfqz29w4Pp0aDcHafTNa7ozZ9Dm/Lb/vN8viaKc9fSGLxwP/WCPXi/YxXqlPMo7pchhBDiIWkURVHULqIoJSYm4ubmRkJCAq6urmqX89C6fbuDfWev893zdWlX3V/tckQpcu6aqeNdXGI6NQPd+OnlhrjY26hdlhAPLdtgZM3hS8zbcYY90dfNj9ct584LTUJpV90PG13+ZqenZmYzY/NpZm45TVqW6UOtTrUCeLttGEGejkVSvxBCiPzLbzaQkGRl2k3bwrG4JH54qQHNKpVRuxxRypy8nMQz3+3kemoWDUM9mf9iA+xtZOqnsF47T8Xz5uIDXExIB0Cv1fBkTX9eaBJKrSD3Bz5vXEI6k/+O4tf951EUsNVrebFJKK+2qoCrfLgghBCqyW82kMYNViZ3nyRp3CDUUNHHhQUvNsTZTs+uM9cY/NN+snKmJAlhjeZsO83FhHS8nGx57bGKbH/nMaZ1r/NQAQnAz82eSc/UYsXQpjSu4EVmtpHvNp+i1aRN/BBxlmz5uxFCCIsmIcnKpGRI4wahrhqBbszp+yh2ei3rj11m+OJ/ze2QhbA2p6+mAPBFjzoMfyKs0JuSVAswTU2d3edRypdxIj4lkw9+P0S76VvZeOwyJXwyhxBCWC0JSVYmJbe7nYwkCRU1LO/Fd8/XQ6/V8Oe/F/ngj0PyZk9YnWyD0dzWvnwZpyK7jkajoXVVX9a83pxxnavh4WjDycvJvDBvD8MWHSAtU1qGCyGEpZGQZEWyDUbSs0xTNJxkM1mhslaVfZjWvTYaDSzcFcNnq6PULkmIAjl/PY1so4KDjQ5fl6Jva2+j09InPIRNI1rxSvPy6LUalv97kae/28GFG2lFfn0hhBD5JyHJiqRm3fy0UabbCUvwZM0AJvyvBgDfbT7FN5tOqlyREPl3JmeqXYi3E1pt8e1n5OZgw6gOVfjp5YZ4Otly+GIiT325jd1nrhVbDUIIIe5NQpIVSc0whSS9VoNtPtvRClHUujcox3sdqgAwcXUUP+yMVrcgIfIpdz1See+im2p3Lw3Le7F8SBOq+rsSn5JJr9kRLNwVo0otQggh8pJ32lYkOadpg6OtzrJ2cc9Kg+jtEHcIki6BIVvtikQx69+8PEMfqwjAB38cZtk/51WuSIj7O3M1GYBQlUISQKCHI78OCqdjTX+yDArvLovk/d8jycyW7ndCCKEmWdhiRVJzmjY4W9J6pITzMK8jXI/O+7iDJziVybl5gbMv1HgGghqoUqYoesPbPEJSejbzdkTz1pKDONvZ0Kaqr9plCXFXudPt1AxJYNrS4asedajq78rnf0fxY0QMxy8l802vung726lamxBClFYykmRFzCNJlhKSEi/C/E6mgGTnZgpEmpx/pdKuwdUoOLsNjvwBu2fCnCfg7w8gK13VskXR0Gg0fPhkVbrWLYvBqDB44X52nLyqdllC3NWZKzfXJKlNo9EwuFVFZvd5FGc7PbvPXKPzV9s5dCFB7dKEEKJUspB32yI/ctckOdlaQNOGpDhTQLp2GtzLQb9V4B4ERgOkXYeUK7fcrsK53XDoV9jxBZxcB/+bAf411X4VopBptRomdqtJcno2fx+5xMsL9vLTyw2pU85D7dKEyCMt08DFBNMHNmqtSbqTx6v48vvgxvRfsI8zV1N4+rsdTHq6Fp1qBahdmhBClCoykmRFzHskqT2SlHTJFJDiT4JbEPRdYQpIAFodOHmDTxUIbQ7Vu0HDV+DpOdD9Z9No0+UjMKsVbJkk65dKIL1Oy5c969C0ojepmQb6zd3DsbhEtcsSIo/oeNMokrujDR5OtipXk1dFHxd+f7UJzR8pQ3qWkaE//8PE1ccwyqbNQghRbCQkWZGUnJEkRzU3kk2+AguegqvHwTUQ+v4JHsH5+9nKHeDVCKjSCYzZsOFj+L4tXJW20SWNnV7HjN71qFPOnYS0LHrP2U10zvoPISyBpaxHuhs3Rxvm9qvPK83LA/DNplP0X7CXxPQslSsTQojSQUKSFbnZuEGl6XYpV00B6coxcAmAfn+CZ2jBzuHkDc/+AP+baVrHdGEvfNcUds0Eo3RzKkmc7PTM69eAyn4uXEnKoNfsXcQmyIaZwjJYekgC0Gk1jOpQhWnP1cZOr2X9scv87+vtnL6SrHZpQghR4klIsiKqNm5IvQYLOpumyjn7Qb8V4Fn+wc6l0UCt5+DVHRDaArLT4K8R8OP/ICW+cOsWqnJztOGHlxoS4uXIhRtpdJ8ZwebjV9QuSwhOX1F3j6SC6FKnLEsGhuPnas+pKyl0/no7m6Iuq12WEEKUaBKSrEhqpkqNG1KvmUaQLh0CJx9TQPKq8PDndQuE3r9D+0mgd4DTm2D+k6YpfaLEKONix48vNyTAzZ6z8an0/X43vefs4misrFMS6rm5R5KzypXkT81Ad5YPbUK9YA+S0rN5cd4eZmw+haLIOiUhhCgKEpKsSEqGSo0b/hwGcZGmpgv9VoB3pcI7t1YLDQfAgE2mEarLR0xBKelS4V1DqC7Qw5FVw5rxctNQbHQatp64SocvtvL2r/9yKVFawoviZw3T7f7Lx8Wehf0b8tyjQRgVmPDXMV7/5QDpWQa1SxNCiBJHQpIVMYek4mzckJUOJ/42fd/9ZygTVjTX8akML6wyrXW6csy0QW1ibNFcS6jC3dGW95+syrrhLehY0x9FgcV7z9Ny0iamrD1u/vdbiKJ2IzWT66mmBggh3o4qV1Mwdnodn3arwbjO1dBpNfxx4CLPfLeTizdkvZ8QQhQmCUlWJCV3ul1xjiTF7ITsdFN4CXy0aK/lVQFeWGnqmhd/IicoXSzaa4piF+zlxNc96/LboMbUC/YgLcvAF+tP0PLzTfy8O4ZsgzTwEEUrdxTJ381e3W6hD0ij0dAnPIQfX2qIh6MNkRcSeOqrbew4JZs3CyFEYZGQZEVSzfskFeOapFMbTF8rPGZquFDUPMubgpJbObh2CuZ2gBvniv66otjVC/bg14HhfNurLsFejlxJymDU0kg6fLGVjVGXZa2FKDLWONXuTsIreLF8SFMq+7lwNTmTnrN28daSf7mWkql2aUIIYfUkJFmRZDX2STq10fS1Qqviu6ZHiCkoeYTA9TMwrwNcP1t81xfFRqPR0L6GP2vfaMGHT1bF3dGG45eSeWHuHnrP2c3hiwlqlyhKoJISkgCCPB1Z+mpjejYsB8Cv+87z2ORNLN5zTjafFUKIhyAhyYqkZhTzSFLSJbgUafq+fMviuWYu93LQb6VpZOlGjGnq3bUzxVuDKDa2ei0vNg1l81utGNC8PLY6LdtOXuXJL7fx1pJ/iUuQ5g6i8JwuQSEJTB+cjf9fDX4b1JjKfi7cSM3i7d8O0n1mBMcvJaldnhBCWCVVQ9KECROoX78+Li4u+Pj40KVLF6KiovIc07JlSzQaTZ7bwIEDVapYXcXeuOH0JtNX/1qmTWCLm1ugKSh5VYSEczDvSYg/Vfx1iGLj5mjDux2qsP7NFnSqFYCimD4Zb/n5Rib/HWXeK0yIh3Emd4+kMiUjJOWqF+zBn0Ob8m6HyjjY6NgdfY0O07fy2epjpGVKBzwhhCgIVUPS5s2bGTx4MBEREaxdu5asrCyeeOIJUlJS8hzXv39/YmNjzbeJEyeqVLG6bjZuKKaRpFvXI6nFNcAUlLwfgcTzphGlqyfVq0cUiyBPR77sUYdlrzamfogH6VlGvtxwkpaTNvLTrrPS3EE8MEVRbpluZx17JBWEjU7LgOYVWPdmC1pX8SXbqPDtplM8MW0zG2UDWiGEyDdVQ9Lq1avp168f1apVo1atWsybN4+YmBj27duX5zhHR0f8/PzMN1dXV5UqVtfNxg3FMJKkKJYRkgBc/ExBqUxlSIqFH7pI17tSok45Dxa/Es53z9cjxMuRq8mZvLfsEO2mb2XDsUvS3EEU2KXEDNKyDOi1GgI9HNQup8iUdXdgdt9Hmdm7HgFu9py7lsYLc/fw6k/7ZPqqEELkg0WtSUpIMC3S9vT0zPP4Tz/9hLe3N9WrV2fUqFGkpqbe9RwZGRkkJibmuZUEGdkGsgymN4TF0rjh0mFIuQw2jhDUsOivdz/OPtB3xc2pdz92g7QbalclioFGo6FddT/+fqMFYzpVxcPRhpOXk3lx3l76fL+bhJz9boTIj9NXkwEo5+mIjc6i/hdYJJ6o5sfa4S3o3ywUnVbDqsg4Wk/ZzNztZzBIYwchhLgri/k/hNFo5PXXX6dJkyZUr17d/HjPnj358ccf2bhxI6NGjeKHH37g+eefv+t5JkyYgJubm/kWFBRUHOUXudSMm/PJnWyLYbpd7ihSSFPQ2xX99fLDuQw8vxSc/eDyEfi5B2TJBoqlha1eS78moWwa0YqBLSpgq9ey9cRVnp+zS4KSyLfcqXYhJaRpQ3442el5r2NV/hzSlNpB7iRnZDP2zyN0+Xo7B8/fULs8IYSwSBYTkgYPHsyhQ4dYtGhRnscHDBhA27ZtqVGjBr169WLBggUsW7aMU6fuvIB/1KhRJCQkmG/nzpWMPXZyF6zb6bXoi+PTT0uZavdfHsHw/G9g5wYxO+C3l8Egi/lLEzcHG95pX5k/BjfB08mWyAsJ9JoTwY1U2RtG3F9u04aS0tmuIKoGuLJ0UGM+7lIdF3s9kRcS6PL1dsYsP0xiunzQIIQQt7KIkDRkyBBWrFjBxo0bCQwMvOexDRuapn6dPHnnxft2dna4urrmuZUEqeamDcUw1S4rDc7uMH1vaSEJwK869FgIOjs4tgJWvWlaQyVKlSr+rvzcvxFeTrYcupBIz1m7uC6baIr7KEl7JD0IrVbD842CWf9mCzrXDsCowLwd0bSevJmVB2NlnZ8QQuRQNSQpisKQIUNYtmwZGzZsIDQ09L4/c+DAAQD8/f2LuDrLkpJZjHsknd0BhgxwLWvqKmeJQppCt9mg0cK+ebBpgtoVCRWE+bnw84BGeDvbciQ2kZ6zd3FNgpK4h9yQVL6UhqRcPi72TO9ehx9fakiIlyOXkzIYvHA/L8zbQ0z83df9CiFEaaFqSBo8eDA//vgjCxcuxMXFhbi4OOLi4khLM60zOXXqFB999BH79u0jOjqa5cuX06dPH5o3b07NmjXVLL3YFeseSeapdq1Aoyn66z2oqk9Bx8mm7zd/Bntmq1uPUMUjvi4sGtAIb2c7jsYm0nNWBPHJGWqXJSxQlsFIzDVTAAgtYXskPaimlbxZ/Xpzhj1eCVudlk1RV2gzdTPfbT4lo0pCiFJN1ZD07bffkpCQQMuWLfH39zfffvnlFwBsbW1Zt24dTzzxBJUrV+bNN9+kW7du/Pnnn2qWrYqUjGKcbpe7iawlTrX7r0dfhJajTN+vfAsO/65qOUIdFX1MQcnHxY5jcUn0nLWLqxKUxH+cv55GtlHBwUaHr4u92uVYDHsbHW+0eYS/Xm9G4wpeZGQb+fSvY7y55F+yZE8yIUQpVQzvuO/ufp9SBQUFsXnz5mKqxrLljiQ5FnVnu6Q4uHQI0EBoy6K9VmFpMRKSL8He72Fpf3D0gtBmalclillFH2cWDWhEj1kRRF1KosfMCBb2b0QZFwvpzihUdyan/XeItxNarQWPkqukQhlnfnq5IQt3x/DhH4dZuv8C8cmZfNOrbvF8QCeEEBbEIho3iPszbyRb1NPtckeRAmqDk1fRXquwaDTQ4XOo0gkMmbCoJ8RFql2VUEH5Ms4sGhCOn6s9Jy4n02NWBJeTZONMYXL6iqxHuh+NRkOvhsHM6lMPexstm49fkSmsQohSSUKSlUgpru52ltr6+360Oug6G4KbQEaiabPZ69FqVyVUEOrtxKIBjfB3s+fk5WR6zIzgcqIEJSGd7Qriscq+LOzfCA9HG/49n8DT3+2Uhg5CiFJFQpKVMDduKMrudkYjnNpo+t7aQhKAjT10Xwi+1U3T7374HyRfUbsqoYKQnKAU4GbPqSspdJ8ZwSUJSqWehKSCqVvOg18HNaasuwNnrqbQ9dsdHLqQoHZZQghRLCQkWYncxg2ORTnd7vJhSLkMNk4Q2KDorlOUHNyh16/gVg6unYafnoaMJLWrEioI9nJi0YBwyro7cPqqKSjFJUhQKs3MIUk62+VbhTLOLH21MZX9XLianEH3mRFsO3FV7bKEEKLISUiyErkjSc5FOZKUO9UupCnobYvuOkXN1R96LzM1cIg9YFqjlC3z6Uujcl6OLBrQyPxJ+HMzd3LxRpraZQkVpGZmE5sTkmVNUsH4utqzeGA4jcp7kpyRzQvzdvPHgQtqlyWEEEVKQpKVyN1MtkhHkqx1PdKdeFeE538DW2c4s8XU9c5oULsqoYIgT0d+eaURQZ4OnI1PpfvMCC5IUCp1oq+a1tN4ONrg7mjFHwKpxNXehvkvNqBjDX+yDArDFh1g9tbTapclhBBFRkKSlUjNadzgXFSNGzJT4exO0/clISQBBNQxrVHS2cKRP2DlmyCbI5ZKgR6OLBoQTjlPR2KupdJ95k7OX5dF6KWJrEd6eHZ6HV/2qEO/xiEAfLzyKONXHcVolP+uCiFKHglJViI5d5+koppuF7MDDBngGgjelYrmGmoo3wK6zgI0sG8ubJqgdkVCJWXdHVg0oBHBXo6cu5ZG95kRnLsmQam0yN0jKdTbWeVKrJtWq2F0p6qMbFcZgJlbTjN88QEys2XTWSFEySIhyUoU+T5J5q52rUz7DpUk1bpAx8mm7zd/BrtmqlqOUE+AuwO/DAgn1NuJ89clKJUmp3NGkspL04aHptFoGNSyAp8/UwudVsPvBy7y0vw95g/zhBCiJJCQZCVSM4p4n6SStB7pTuq/BK3eM33/19sQ+au69QjV+LnZ83P/RpT3duLCjTSemyH7v5QGMt2u8D1dL5DZfR/FwUbH1hNX6TEzgitJ0iRHCFEySEiyEubpdrZFMN0uKQ4uHwE0UL5l4Z/fUjQfAQ0GAAosGwgn16tdkVCJn5s9iwY0onwZJy4mpPPczJ1E57yJFiVTtISkItEqzIefBzTC08mWyAsJPP3dDs7Gy9+SEML6SUiyEkXauOHcLtNXvxrg6Fn457cUGg20+wyqdwNjFvzSG87vVbsqoRIfV1NQqlDGidicoLT1hGw+XBJdT8nkemoWACFeEpIKW+0gd34dGE6gh6mDZLdvdxB5XjadFUJYNwlJVkBRlJstwIuicUNSnOmrZ2jhn9vSaLXQ5TvTtMKsFPjpGbgSpXZVQiU+LvYsGhBOJR9nLiVm0HvObl77+R8uJ8mmsyXJmZyRDX83exyKYjReUD5n09mq/q5cTc7kuZk72XJcPnQQQlgvCUlWIC3LYO5cXSSNG3JDkrNf4Z/bEult4dkfoGw9SLsGP3SFhPNqVyVUUsbFjqWvNqZf4xC0Glj+70Uen7yZn3adldbGJcSZKzLVrjj4uNjzyyuNaFLRi9RMAy/O28Oyf+S/rUII6yQhyQqk5DRt0GjAwaYIPgVNvmz66uxT+Oe2VHbO0HMJeD8CiedNQSn1mtpVCZW42Nsw5qlq/DG4KdXLupKUns17yw7x9Hc7OBaXqHZ54iFJ04bi42Jvw9x+DXiqVgDZRoU3fvmX7zafQpE96oQQVkZCkhVIyW3aYKNDqy2C9tzJuSNJvoV/bkvm5AXPLwXXsnA1yjT1Lu2G2lUJFdUIdOP3V5vw4ZNVcbLVsT/mBh2/2MaEVUfNbfiF9ZGQVLxs9VqmPVebF5uYpnB/+tcxBv64jxupmSpXJoQQ+SchyQrcXI9URO2/ky+ZvrqUkul2t3IPgt7LwMEDLuyFeU9C0iW1qxIq0uu0vNg0lHVvtqBdNT8MRoUZW07TZsoW1h+VfzeskeyRVPy0Wg0fPFmFMZ2qYqPTsObwJdpP38ruMzJiL4SwDhKSrEDudLsi6WwHN0NBaZpud6syYdB3hWkk7VIkfP8EXDutdlVCZf5uDnzXux5z+j5KWXcHLtxI46X5exn04z7iEqSxg7UwGpVb2n87q1xN6aLRaOjXJJSlg5oQ4uVIbEI63WfuZNq64xhkvZ8QwsJJSLIC5pGkoujKZDRA6lXT96WlccOd+FWHF9eARwhcj4Y5bSEuUu2qhAV4vIova4c3Z0Dz8ui0Gv46FEfrKZuZu/2MvNGzApeS0knLMqDXagj0cFC7nFKpRqAbK15rRte6ZTEqMG3dCXrMiuDijTS1SxNCiLuSkGQFUnNGkpyKYiQp5SooRtBowcm78M9vTTxD4cW/wbcGpFyGuR3h7A61qxIWwNFWz7sdqvDnkKbUKedOckY2Y/88Qpevt8t+MBYut7NdOU9HbHTyvzy1ONvpmfJsbaY+VwsnWx27z1yjwxdb+ftwnNqlCSHEHcn/MaxAbuMGp6IYScpt2uDoDVrZPwQXX+i3Aso1howE+OF/ELVa7aqEhaga4MpvAxvzcZfquNjribyQQOevtzH2z8MkZ0hjB0t0Wpo2WJT/1Qlk5WvNqFHWjRupWQz4YR8f/nGI9CyD2qUJIUQeEpKsQJE2bsht/+1Syjrb3YuDO/ReCo+0h+x0WNQTDvysdlXCQmi1Gp5vFMz6N1vwVK0AjArM3R5N68mbWX0oVlodWxjpbGd5Qryd+G1QY/o3M3W/W7DzLF2+3s7Jy0kqVyaEEDdJSLICuSNJzkW6kayEpDxsHOC5H6BWD1AM8PtA2PGV2lUJC+LjYs8XPeqw4MUGlPN0JC4xnYE/7ufl+Xs5fz1V7fJEDnNIks52FsVWr+W9jlWZ+0J9vJxsORaXxJNfbmPR7hj5oEEIYREkJFmBlEzTNARHu6KYbpfb2a4UN224G50NdP4GwoeY7v/9HqwbC/I/cHGL5o+U4e83mjOkVUVsdBrWH7tMmylbmL31tLzZswAykmTZWoX58NfrzWha0Zv0LCPvLI1kyM//kJCWpXZpQohSTkKSFUjNHUkqkul2pbz99/1otfDEx/D4aNP9bVPgz2GmroBC5LC30fFW2zBWvdaMBiGepGUZ+HjlUfov2EdCqrzZU0uWwUjMNdOoXnlp/22xfFzsWfBiA0a2q4xeq2HlwVg6frGVfWevq12aEKIUk5BkBZJzuts5FsV0u9K8kWx+aTTQbDh0mm7qArh/PizpC1myV47Iq5KvC7+80oiPulTHVqdl3dFLPPnVVumAp5Jz11IxGBUcbHT4utqpXY64B61Ww6CWFVgyMJwgTwfOX0/j2Rk7+XrjSYzSal8IoQIJSVYgNadxg1ORTLfLadwgI0n3V68fPDMfdLZw9E/46WlIT1S7KmFhNBoNvRsF89ugxgR5OnDuWhrdvt3BT7vOyvS7YnbrVDuNRqNyNSI/6pTzYOVrzehUKwCDUWHSmih6f7+LS4nyoZQQonhJSLICuWuSnKRxg/qqPgW9fgVbZ4jeCt+3hfhTalclLFCNQDdWDGlG6yq+ZBqMvLfsEMMX/2v+0EMUPWnaYJ1c7W34onttJnariYONju0n42k/fSsbj11WuzQhRCkiIckKmPdJKtKRJAlJ+Va+hWkvJScfuHwEZrY0jSwJ8R9ujjbM6lOPUe0ro9NqWPbPBTp/Ja2Oi0vuHknlpWmD1dFoNDxbP4g/hzalir8r11IyeWHeHj5acYSMbFkTKoQoehKSrMDNkFTII0kZSZBlehMhIamAAurAK1ugXDhkJMIvz8Pf74NBRglEXhqNhldaVGDhyw3xcbHjxOVknvpqO38cuKB2aSXemSum/76FeElIslYVfZxZ9mpj+jUOAWDOtjM8OyOCuASZfieEKFoSkqyAeTPZwp5ulzuKZOsMdtL5qcBc/aHvnzdbhO/4EhY8dXMKoxC3aFjei5WvNSO8vBepmQaGLTrA+79HyqfiRUim25UM9jY6xjxVjdl9HsXNwYZ/z93gyS+3sSf6mtqlCSFKMAlJViA1p7tdoU+3M69HkqYND0xnA20/MTV0sHWBs9thRnOI3q52ZcIClXGx48eXGzKkVUUAfoyI4ZnvdnLummw+W9hSMrKJy1nsL9PtSobWVX1ZPqQJlf1cuJqcQY+ZEfwYIQ1RhBBFQ0KSFcgdSSr0xg3mPZJkqt1Dq9YFBmwCn6qm3+v8TrD9C9l4VtxGp9XwVtsw5r5QH3dHGw6eT+DJL7ex/ugltUsrUaLjTaNIHo42uDvaqlyNKCzBXk4sfbUxHWv4k21UeP/3Q4xaKiOyQojCJyHJwmUbjKRnGYEiWJMkTRsKl3dFeHkd1HwOFAOs/QAW94Z02SNH3K5VmA8rX2tGrSB3EtKyeGn+Xj5bfYxsg1Ht0kqEW9t/i5LF0VbPVz3rMLJdZTQaWLTnHM/JOiUhRCGTkGThUrNufjrmaFvI0+2Spf13obN1gv/NgI6TQWtj6no3sxVcOqx2ZcIClXV3YMkr4eZF6d9uOkWv2bu4LHvCPLTcpg2h3rLesiTSaEybz857oQGu9noOnLtBp6+2sVfWKQkhComEJAuX29lOr9Vgpy/kf1y5I0kuEpIKlUYD9V+GF9eAWxBcOwWzHod/F6ldmbBAtnotY56qxlc96+Bkq2PXmWt0+GIbO0/Fq12aVTuTM92uvDRtKNFaPFKGP4c2JczXhStJGfSYFcFPu86qXZYQogSQkGThUnKaNjja6gp/x3jZSLZoBdaDAZuhwmOQnQbLXoEVb0B2htqVCQv0ZM0Alue82buanEGv2RF8vfEkRqOsa3sQMt2u9Mhdp9Shhh9ZBoX3lh1i1NKDsk5JCPFQJCRZuNScpg3Ohb0eCW5Zk+RX+OcWJk5e0OtXaPEOoIG938P3bSH+lNqVCQtUoYwzvw9uQte6ZTEqMGlNFC/O30NMvHS/KygJSaWLk52er3vW5e12YWg08PPuc3SfGcElmboqhHhAEpIsXHLOdDvHIglJ0gK8WGh10GqUKSw5eMDFf0xtwg8slO534jYOtjomP1OLT7vWwFavZVPUFR6fsolxfx7hekqm2uVZhespmdxIzQJkI9nSRKPR8GrLisztVx9Xez3/xJj2U9p3VtYpCSEKTkKShTPvkVTYTRsM2ZBy1fS9TLcrHpVaw8BtENwEMpPh90Hw64uQdkPtyoSF0Wg0dG9QjhVDm9L8kTJkGRS+336G5pM2MmPzKdKzZBrRvZzOGUUKcLPHobD/2yksXsswH5YPacojvs5cScqg+8wIFu6KUbssIYSVkZBk4cx7JBX2SFLqVUABjRacvAv33OLu3AKh75/w2Aeg0cHhpfBdU9l8VtzRI74uLHixAT+81IAq/q4kpWcz4a9jPD55M7//c0HWK92FeaqdNG0otUK8nVj2ahPzOqV3l0XKfkpCiAKRkGThbjZuKOSQlNu0wamMaTqYKD5aHTR/C15aCx6hkHAO5j8J6z8CQ5ba1QkL1KxSGVYMbcrnz9TCz9WeCzfSeP2XA3T+ejs7Tl1VuzyLc+ZqMiDrkUq73HVKI9rmrlOKocfMCGmxL4TIFwlJFu5m44bC3iNJNpJVXWA9GLgVavcCxQhbP4fv28G102pXJiyQTqvh6XqBbHyrJSPahuFspyfyQgI9Z+3ixXl7OHEpSe0SLcbNpg2yR1Jpp9FoGNyqIt/nrFPab16ndF3t0oQQFk5CkoUrssYNspGsZbBzgS7fwNNzwc4NLuyF75pJUwdxVw62Oga3qsimES3pEx6MXqthw7HLtJ22hVFLD8qn5MDpnI1ky8tIksjR6pZ1SpeTMug+cyej/zjEuWvSOVIIcWcSkixcamYRNW5IvmT6KhvJWobqXWHQdijXWJo6iHzxdrZjXOfq/P1Gc9pW88WomNoet/x8E1PXHjdvRF3aGI0K0fHS/lvcLsTbiaW3rFOav/MsLT/fxBu/HCAqTkZihRB5SUiycLkjSYXeuEGm21ke9yDotwIeez9vU4ezO9SuTFiw8mWcmdH7UZYMDKdOOXdSMw1MX3+Clp9vYuGuGLINRrVLLFZxiemkZxnRazUEejioXY6wMM4565QWvtyQZpW8MRgVlv1zgbbTtvDy/D3SLlyIIpCamc3m41fYG21df19FsPmOKEypuSGpqBo3SEiyLFodNB8B5VvBby/B9WiY1xGavQktRoLORu0KhYWqH+LJ0kGNWRUZx8Q1xzgbn8q7yyKZu/0M77SvTKswH7RajdplFhlFUYiOT+W3fecBKOfpiF4nnwOK22k0GhpX9KZxRW8izyfw3eZTrDoUy7qjl1l39DINQjwZ1LICLcPKoNGU3L8ZIYpKtsFI5IUEtp+8yraTV9l/9gaZBiNPVPXl0RBPtcvLNwlJFi4lZ7qdozRuKF0CHzXtqbTqbfh3IWyZBKc2QIfPoWxdtasTFkqj0dCxpj9tqvryY8RZvthwghOXk3lp/l48HG0Ir+BFeAVvGlfwory3k9W/AYxNSGPHyXi2n7rKzlPxxCbcXI9Vxd9VxcqEtagR6MbXvepy+koyM7ec5rf959kdfY3d865R2c+FQS0r0LGGvwRuIe5BURROX00xhaITV9l5Op6k9LxTvgPc7An0cFSpwgejUZSSvTo8MTERNzc3EhIScHW1vv9p9pwVwY5T8UzvXpvOtcsW3omn1zKNUrywGoLDC++8ovAd+g3+fAMyEkz3q3eDxz8EjxBVyxKWLyEti282neTHnWfNH7jk8nO1p3EFL8IreNG4ojdl3S1/alp8cgYRp6+ZQ1FuF7tctjotdcq507iCNz0aBuHjYq9SpcJaxSWk8/32M/wUcfNvJsjTgQHNK/BMvUDsbWTLDPFgjEaFG2lZJKdnk5Rh+pqckU1SejZJGdk593OfNz2ee0xyRjZpmQYq+DhRt5wHdcq5UzvIA08nW9Vez+WkdHacjGfbyatsP3k1z4dUAK72ehpX8KZJJW+aVvQmxMvRYj6Yy282kJBk4Tp/vZ1/z91gVp9HaVO1kEZ9FAXGB0BWKrz2D3iWL5zziqKTcAE2fAT/LgIU0NlCgwGmaXiO1jN0LdSRZTBy8PwNdpyMZ8epePbFXCczO+9apWAvRxpX8KJxBW/CK3jh7WynUrUmRqNCYnoW+85eZ/vJeHacusqx/yyu12qgRqA7jSt40aSCN/WCPXAo7CY3olRKSM1iwc5o5u6I5lpKJmBqlvJi0xCebxSMq71MfRb3dzY+hW05oys7TsWTkFa4eyGGeDmaQ1Odch6E+blgU0SjnskZ2ew+E8+2E/FsP3mVqP9sO2Gr0/JoiAdNKppCUfWybugsdIq3hKQc1h6S2kzZzInLySzs35DGFbwL56TpifBpkOn7URfATvYSsRqxB2Hth3B6o+m+vRs0e8sUmGzkU3ORP+lZBvadvc6OU6b/cR88n4DBmPd/BWG+LoRX8KKCjzMaIPcDQA2aW77P+zh5Hr/5P8e0LAOpGdmkZhpIzcwmJdNAWqaBlFseS800kJKZnfO4gbSsvCNfuSr7udA4Z8pgg/Ke8mZVFKm0TAOL955j5pbTXLiRBoCLnZ5ejYJpVskbvVaDXqdBr9Xm+Wqj1aLTabDRatDrtOi0Gmxyn9dqSM825BklSM4ZSUjJzDaPJKSYRxcMJGdkkZJhICkjm9SMbLycbQnxciLYy4lQb0eCvZwI9nIs/I3nRYFcT8lkxynT6Mq2k1c4dy3ttmMcbXU42+lxttfjkvPV2U6Ps50NLvZ6XHLv53w13bdBr9NwNDaRf2JusD/munmrg1vZ22ipGehuCk1BHtQt546P673fG6RmZhOfnEl8SibxyRnEJ2dyNcX0NT45g/iUTK4mZ3LiUhLZt/x/QqOBagGu5lD0aLCn1XxIJSEph7WHpMYT1nMxIZ0/BjehVpB74Zz06kn4qh7YOsO7FwrnnKJ4nVxvCkuXDpnuu5WDxz+A6k+DVubOi4JJSs9iT/S1nBGbeI7GJqpdklmIl6NpkX0FLxqVV3+ES5ROWQYjf/57ke82n+L4pWS1y7krHxc7QrydCPEyBacQLydCckKUc2F3yX0IBqNCttGY81XBYFDIyr1vUG4+blTIMhjz3M82GrHRafF0ssXLyRZXexvVmtKkZxnYf/Y6W3OmnEVeSMizxaFeq6FusAdNK3rTtJI3Ncq6FdpIz43UTA6cu2EOTQfO3bhtHRBAWXcH6pRzp6yHA9dTMnNC0M1AdLcPpO6knKejORSFV/BSdbrfw5CQlMPaQ1KtsX+TkJbFuuHNqejjUjgnjd4O8zqAZwV4bX/hnFMUP6MBDv4CGz6GxJyw618L2nwE5VuoW5uwatdSMok4bZridjUpEwXF/D9+hdx9jk0PKErud6bFuzefv/m4g40WJ1s9jnY6nGz1ONjqzPcdbXU42urz3Hey1Zu+2ullDYiwKEajwoZjl5m/M5rLiRl53thnG41kG26+qc8yKmQbjBjv8i5LqzFt7+Fip8cpz4hCzn27myMKtx7naKvjSlIG0fEpRF9NITo+lbPxKVxPvfdULm9nO3N48nW1QwGMiulv22BUbvveqJher1FRMOQ8Z1QU8/NZOa8126CQaTCSbTCaH8syGMk2KmRlG8ky5j0uy2As1L3SdVoNHo6mwOThZIOXkx2eTramEOVse/P7nMc9HG3y1YhDyXnNt/6eFBROXk5m+8mrbD1xlT3R10jPyjt1+RFfZ5pWLEPTSl40DPUq/C1c7sJoVDh9NZn9MTf4J+Y6/8TcIOpSUr5+17Z6LWWc7fByNv0evXK+9875nXk521KhjDNBntbVeOFuJCTlsOaQpCgKld77i2yjws5Rj+HvVkgLqw/9ZtqotFxjePGvwjmnUE9WGkR8A1unQmbOHOGKbaDNOPCtqm5tQghRyhlvHRUxGjEYFOxstDjY6Ap1IXtCapYpOMWnEH3VFJyi41M4G59KfM66Kktno9Og0946fTHvfdP3GjKyjVxLybzjyEl+2Ntob37AkxN+jMrtH/Tkh4+LnXmkqGlF7/tObytOSelZRJ5PYH/MdeJTMm8GoJyv3s6mr062hfvvoqXLbzawnLFXcZvMnE9igMKdZ5zb/ttF2n+XCDYOpgYOdfuaWoXvmQ0n18Kp9VC7F7R6F1wD1K5SCCFKJa1Wg23OdDAHim5k1M3RhlqO7necmp+QlkVMfKp59Ck+JRONBnQaDVqtBq1Gg1aD6avW9P09n8sJLjY6DTY6LTY6U4ixzflqesz09dbjbh5zewh6kEX+mdlGrqeappBdS8kkPiWDaym532eappfl3L+Wksn11EwUhdtGfwrC0VZHo/JeNKnoTbNK3lTycbbYgOFib2PeE0wUnIQkC5aacXOeqFNhLoaTjWRLJidvaP+ZqYnD+rFw5A/45weI/BUaDYKGAyUYCyFEKeTmYEONQDdqBLqpXUqhstVr8XW1xzefozcGo8KN1ExSMw1oNKYGMxpMAVCjudl05tbvtZqbjWk0GnC00cm+WaWEhCQLlpxhGka202sL9w9SNpIt2bwqwLML4Nwe+Pt9OBcB26bAzq+gxjPQ6FXwq652lUIIIUSx0mk1pulmahcirIJEYQuWmrORXaEv+kuWkaRSIag+vLgaui+EoIZgyIQDP8F3TWB+J4haDcYHn3IghBBCCFFSyUiSBcsdSXKyK+Q5zDKSVHpoNFC5o+l2fi/s/No0De/MFtPNq6JpKl6tHmDrpHa1QgghhBAWQUaSLFhqZk5IKuzN4ZIvmb7K+pTSJfBReGYuDPsXGr8Gdm4QfxJWvglTqsK6MZB4Ue0qhRBCCCFUJyHJgqXkNG5wLMymDYZsSLlq+l5Gkkon9yB44iMYfhjaTwSPUEi/AdumwrQa8Ft/uPiP2lUKIYQQQqhGQpIFSzFPtyvEkaSUK4ACGh04ytLFUs3OBRq+AkP3wXM/QXATMGZD5GKY2RK+bw9HV5g2rRVCCCGEKEVkTZIFK5LpdrlNG5zKgFZ2sheY/j2o8qTpdvEfiPjWtOFwzA7TzSMEGg6COr1MwUoIIYQQooSTkSQLlpxRBN3tzE0bfArvnKLkCKgDXWfC65HQdDjYu8P1aFg9EqZUgzXvwY0YtasUQgghhChSqoakCRMmUL9+fVxcXPDx8aFLly5ERUXlOSY9PZ3Bgwfj5eWFs7Mz3bp149KlSypVXLzMI0mF2d0udyNZF7/CO6coeVwDoPVoGH4EOk4Br0qQkWDaa2l6bVjcF87tVrtKIYQQQogioWpI2rx5M4MHDyYiIoK1a9eSlZXFE088QUpKivmYN954gz///JMlS5awefNmLl68SNeuXVWsuvjcbNwgI0lCJbZOUP8lGLwbei6G0BagGODI7zCnDcxuDYeWmhqCCCGEEEKUEKquSVq9enWe+/PmzcPHx4d9+/bRvHlzEhISmDNnDgsXLuSxxx4DYO7cuVSpUoWIiAgaNWqkRtnFJrdxg3NhjiTltv92lpEkUQBaLTzS1nSLO2RatxS5GM7vgV9fALcgaDAA6vYBB3e1qxVCCCGEeCgW1bghISEBAE9PTwD27dtHVlYWrVu3Nh9TuXJlypUrx86dO60uJP2wM5q0rPx3Cou8YPp9FO5IUs50O2n/LR6UX3Xo8rVpOt6eObBnNiScg7UfwObPoM7zpq55nuXVrlQIIYQQ4oFYTEgyGo28/vrrNGnShOrVqwMQFxeHra0t7u7ueY719fUlLi7ujufJyMggIyPDfD8xMbHIai6o6etPcDU5s8A/5+FkU3hF5E63k41kxcNy9oFWo6DpG6ZRpZ3fwJWjsOs72DUDKneERq9CcGPQaNSuVgghhBAi3ywmJA0ePJhDhw6xbdu2hzrPhAkTGDt2bCFVVbg61vAnKaNgaze8ne14omohTo1LkpEkUchs7E3T7Or0htMbTWHp5Fo4tsJ0868FjQZDtf+B3lbtaoUQQggh7ssiQtKQIUNYsWIFW7ZsITAw0Py4n58fmZmZ3LhxI89o0qVLl/Dzu3NwGDVqFMOHDzffT0xMJCgoqMhqL4ixnaurW4CiSOMGUXQ0GqjwmOl2Jcq0bunfRRD7LywbAOtGm9Yt1X8J7N3UrlYIIYQQ4q5U7W6nKApDhgxh2bJlbNiwgdDQ0DzP16tXDxsbG9avX29+LCoqipiYGMLDw+94Tjs7O1xdXfPcRI6MRMhOM30vI0miKJUJg07TTC3EH/vA1CgkKRbWj4Wp1WH9OEi5qnaVQgghhBB3pFEURVHr4q+++ioLFy7kjz/+ICwszPy4m5sbDg4OAAwaNIhVq1Yxb948XF1dGTp0KAA7duzI1zUSExNxc3MjISFBAtPVE/DVo2DrAu+eV7saUZpkZ8Kh32D7NLhyzPSY3gHq9YPGQ8GtrJrVCSGEEKKUyG82KHBIOnr0KIsWLWLr1q2cPXuW1NRUypQpQ506dWjbti3dunXDzs4uX+fS3GUx99y5c+nXrx9g2kz2zTff5OeffyYjI4O2bdvyzTff3HW63X9JSLpF9DaY1xG8KsLQfWpXI0ojoxGiVsHWz+HiP6bHtDZQuwc0eR28KqhanhBCCCFKtkIPSfv37+ftt99m27ZtNGnShAYNGhAQEICDgwPXrl3j0KFDbN26lcTERN5++21ef/31fIeloiQh6RaRv8JvL0FwE3hhldrViNJMUUxNHrZOgeitpsc0WlNzh2Zvgm81desTQgghRImU32yQ78YN3bp1Y8SIEfz666+3teS+1c6dO5k+fTqTJ0/m3XffLVDRooiZmzbIeiShslubPMTsgq2T4cQa05S8Q7/BI+1NYSmovtqVCiGEEKIUyndIOn78ODY299+vJzw8nPDwcLKysh6qMFEEZCNZYYnKNYReiyH2IGybCoeXwfG/TLfQ5qawFNpC9loSQgghRLHJd3e7/ASkhzleFANp/y0smX9NeGYuDNkLdZ4HrR7ObIEFnWH243BslWlNkxBCCCFEEXvgfZL27NnDxo0buXz5Msb/vHGZMmXKQxcmikDyJdNXl0LcnFaIwuZdETp/DS3egR1fwv75cGEfLOoBPlWh6XDT2iWdRWzzJoQQQogS6IHeZYwfP57333+fsLAwfH1983Spu1vHOmEBknJCkowkCWvgHgQdJkLzERDxNeyeDZePwNKXYeMn0PR1qNUD9Oo3iBFCCCFEyfJA+yT5+vry2Wefmdt0WzLpbneLiRUg9SoM3A5+1dWuRoiCSbsBe2bBzm8g7ZrpMXs3CKgLZeve/OoaoGqZQgghhLBchd7d7lZarZYmTZo8cHFCBYYsU0ACadwgrJODu2lUqdGrsG++aSpe0kVTK/HTG28e5+x3S2iqY/rq6Kla2UI8MKPB9OFAavxdbtdufp92HRw8TCOw7uVybsGmr25BYOuo9qsRQgir8kAjSRMnTuTixYtMmzatCEoqXDKSlCMxFqZUNu1F88FV0OrUrkiIh2PIgkuH4MJ+uLgfLvwDV46CcofmDu7BeUeb/GuBnUvx1yxELkM2HF0OCefvHHpygw8F/l/0nTmVMYUlc4C6JUS5B4GtU+FcRwghLFyhbyZ7K6PRSMeOHTl+/DhVq1a9rZPd0qVLC15xEZGQlCPuEHzXBBy94e1TalcjRNHITIG4yFuC0364dqd/3zVQJgwC6twMTr7Vwca+2EsWpdT26bD2w/wda+8Gjl7/uXnmvW/vZgpZCefgRszN2/WzkJl0/2s4euUNUM6+YOMANo53+fqfx3TS0VYIYR2KdLrda6+9xsaNG2nVqhVeXl7SrMEa5K7hkGlHoiSzdYJyjUy3XGnX4eKBm6Hp4gFIPA9Xjplu//5881hHb3D1B5ecm2vALd/7g0uA6W9I/psnHkZWmmm6KEClJ8CrUk7o8bw9DDl4PFwAURRIv3FLcPpPiLpxFjISb45eXfznwa6j1YPe4c4BysUPQppASHPwqiB/P0IIq/BAIWn+/Pn89ttvdOzYsbDrEUUlNSckOUhIEqWMgwdUaGW65Uq6ZHozaA5O+3PeJF413eIi734+na3pTZ9LwM3g5OJ3M1Dlhiwbh6J/bcI67V8AKVdMIzbdFxbtKIxGY/obcPAwTTO9k7QbN0NTwjnT6FNqPGSlmgJddvrN781fc77Pnd5qzDaNWN1t1OrQr6avLv4Q0jTn1gw8y0toEkJYpAcKSZ6enlSoUKGwaxFFKTXe9FVGkoQAF18Ia2e6genT9tRrpkYQibGQlHNLvHjL97GmAGXIvPmG8l7KVIY6vaFWd3DyLvrXJKxDdqZpqh1Ak9ctY5qag7vp5l+zYD+nKKa/h/8GJ/P3aZCVAldPwJmtcH636W8pconpBqYPGXJDU2gz8AiV0CSEsAgPtCZp7ty5rF69mrlz5+LoaNkdc2RNUo4tk2DDx1DnedNGnUKIgsvOgKS4vMHJHKzibn6fnXbzZ7Q2ULkj1OsLoS1Bq1WremEJ9i+A5UNNXRiH/Vu61sFlpcH5PRC9zXQ7v8cUsm7lWtY0wpQbnDxCJDQJIQpVka5J+uKLLzh16hS+vr6EhITc1rhh//79D3JaUZRSr5u+ynQ7IR6c3g48gk23u1EU08jt0eWmVuWxB+DI76abeznT6FLtXuBWtpiKFhbDaIBtU03fNx5SugISmKaghjY33QAyU28JTVvh/F5IvAAHF5luYOrIlzs1L6Tpvf/2hBCiED1QSOrSpUshlyGKnDRuEKJ4aDSm6XWPvmi6xf4L+3+Ag4tNU/Q2fgKbJkDFNqbRpUpPWMaUK1H0Di+Da6dN64PqvaB2NeqzdYTyLUw3yAlNu01T86K3wYW9pjVS//58s8GKWzmo3hXqv2xqXS6EEEXkgabbWROZbpfjp2fhxBro9IXpjZkQonhlpppGl/YvgLPbbz7u7Au1e5pGmLxkrWeJZTTCd03h8mFo9R60eFvtiixfZgqc22UKTGe2mhqsGLNNz2m0ENYBGr5iGmWSKXlCiHwq9H2SFEWxylbfEpJyzHrc9Knccz9ClU5qVyNE6Xb1hCksHVhoagaRK6QZ1O1r+hstbVOxSrpj/2/vvuOkqO8/jr+2X++dcvQivYuiICLF3sWusURjjTWaxJZEjZrEX9RoYiyxgSWKsWFBUECkSu8djjsOrvdt8/tj7pY7aQfc3Vx5Px+PfezszNzuZ4flbt77/c73+zlMvRTc0fDrFWZrkhyZqlLYPBMWvAxbvtu3PuU4GH4D9L9Ek+KKyGHVNxvU+wriPn36MHXqVLxe7yH327BhAzfffDNPPvlk/auVxhfqbpdobR0iAkndYfwf4K41cPEb0G0cYDOvy/jwevhLT/jifti9yupKpSEYBsx+xlwedp0C0tHyRJlfIFz9P/jVfBh6HbgiIXc1fPpr+Gtv+PK3kL/F6kpFpBWod0vSjBkzuP/++9m8eTOnnXYaQ4cOJSMjg7CwMAoKCli9ejVz5sxh1apV3HrrrTz44IPExsY2dv2HpZakak9mmhMK/mo+pPSyuhoR+bnC7fDT2/DTW+ZktzU6jIDT/gAdR1hXmxybzbPgjXPAGQZ3roCoFKsraj0qCs0W2QX/goKacGSDHhNg+I3Qday64olIHQ3e3a7GnDlzePfdd5k9ezbbtm2joqKCpKQkBg0axIQJE7j88suJj28+35IpJGGOqPRYImDAPRv0B1qkOQsGYNO3sOQ/sO6Lfddg9LsYxj2iUfFaotfPNFsJh/8STn/K6mpap2AQNn4DC/5p3tdI7G6GpYGXgifauvpEpNlotJDU0igkAWV58HQXc/n3ezWSlkhLUZID3/7BbGHCAFcEnHQXjLzVHE5Zmr8dC+CV08DuNOdFim1vdUWt396NsPBl8/+Nt8Rc5442B0gZfiMkdbO2PhGxVINfkyQtWHmeee+JUUASaUmi08zJn2/41ux25ys3J4V+YTis/ti81kWat++rr0UaMFkBqakkdYNJf4a718Dpz0BSDzMsLfgnPD8E3jwf1n+l/z8ickgKSW2B5kgSadnaDYZffAkXvALRGeb1S+9dBf85C3JWWl2dHEz2cnPqBZsdRt1ldTVtjyfaHPXulgVw5UfQYxJgg00z4J2L4M1zoWCrxUWKSHOlkNQWlFeHpHCFJJEWy2aDfhfCbYvg5PvMQQC2zoZ/ngSf3rXv/7k0H3P+at73OU9zYFnJZjMHcLhsKtz+k9ld1RlmDqjxj5Hw44vmtYAiIrUoJLUFakkSaT3ckTD2t+a348edC0YQFr0Cfx8E8/8JAZ/VFQqYc2GtmmYuqxWp+UjoDBP+BDf/AJmjzC6s038Dr06A3LVWVycizYhCUlugliSR1ic+Ey7+D1z9KaT2NYf4/+I+eGkUbJppdXUy52+AYXbxSutrdTXyc4ld4epP4My/mYM67Fxotsp+9xT4Dz0fpIi0DUcUkoqLi+t1k2amZuAGtSSJtD6dT4Jffg9n/NX8ImTPWvNaiymXQf5mq6trmwq3w/J3zeWT77G2Fjk4ux2G/gJumQ89JkLACzP/BP8aA1mLra5ORCx2RCEpLi6O+Pj4g95qtkszE+pul2htHSLSOOwOGHYd3L4ERtwMNges+wxeGAFfPwxVJVZX2LbM/bs5v1Xn0dB+qNXVyOHEtoNLp5oDo0QkQu4q+Pc4+Op34C23ujoRsYjzSHaeOXNfFw7DMDj99NP597//Tbt2mtywWQt1t1OAFWnVwuNh0pMw5BrzOovNM2Hus7BsClz4KnQaZXWFrV/JbljyhrmsVqSWo2ZglC5jzP87K96HH56DNZ/C2X+HzidbXaGINLEjCkmjR4+u89jhcHD88cfTpUuXBi1KGlhFgXmv7nYibUNKL3PI4/XTYfoDULAF3r4ILn9fQamxzXseAlXQfhh0OsnqauRIRSbBBf+GvhfCp782/+/85yzzi4fTHoOwWKsrFJEmooEb2gIN3CDS9ths0HMS/OpH6DbOHMXr7Ytg6xyrK2u9yvNh0avm8kn3mP8G0jL1nGheqzT0F+bjxa+b3VfXfWFpWSLSdBSS2gIN3CDSdrnC4JK3oeuptYLSXKurap3m/xO8pZDaD3pMsLoaOVZhMebod9d8BgldoSQbpkyGD34BpXusrk5EGtkxhySbvilr3gxDAzeItHWuMJj8jjmhZk1Q2vaD1VW1LlUlMP8lc/mku9SK1Jp0GgU3z4UT7zQHRVn5X3hhOKz9zOrKRKQRHdE1Seeff36dx5WVldx0001ERkbWWf/hhx8ee2XSMKpKzFGWQN3tRNqymqA05VJzQIe3LoQr/guZI62urHVY9Ko5V1ViNzjuHKurkYbmCofTHoU+58LHt8HuFfD+NXD9DEjvb3V1ItIIjqglKTY2ts7tiiuuICMjY7/10ozUtCI5w8AdYW0tImItVzhcOgW6nAK+Mnj7Qtj+o9VVtXy+CvjheXN51K/NIdmldcoYBDfO3Dev0ge/gKpSq6sSkUZwRC1Jr732WmPVIY1FgzaISG01QWnKZNg8C966wGxR6ni81ZW1XD+9BWW5ENsB+l9idTXS2BwuOOcf8NIoyNsAX9wH5/7D6qpEpIFp4IbWriYkadAGEanhCofJU8zJTr2lZlDaPt/qqlqmgA/m/p+5fOId5gm0tH6RiXDBy2Czw9K3Ydm7VlckIg1MIam1q1BIEpEDcEfApVPNSTJrgtKOBVZX1fIsfw+KdkBkCgy6wupqpCl1GgWj7zeXP7sL8jZZW4+INCiFpNZO3e1E5GDcEXDpu9VBqQTePF9B6UgEAzDnr+byyFvMFjppW06+FzJHmV80fHAt+KusrkhEGohCUmunliQROZSaoNTppFpBaaHVVbUMqz+GvI0QFgfDrrO6GrGC3QHn/8v8IjJ7GXzziNUViUgDUUhq7dSSJCKH446Ay2oFpbfOh52LrK6qeTMMmF3dijTiJvBEW1uPWCe2HZz7orn84z9g3RfW1iMiDUIhqbUrzzPv1ZIkIofijjSDUuYoqCqGN89TUDqU9V+ac+W4ImHEL62uRqzWcyIc/ytzedqvoCjL2npE5JgpJLV2oe52idbWISLNnzsSLn8PMk+sFZQWW11V82MY8N2T5vKw6/QllJjGPQLpA8y/ux/eYF6zJiItlkJSa6fudiJyJNyRcNl70PEEMyi9dR7sXmV1Vc3Lhq9h10/gioATbre6GmkunB648DVwR8G2ufD901ZXJCLHQCGptasoMO/1TaeI1JcnCi5/HzqMgMoic3jwwu1WV9U8/LwVKSrZ2nqkeUnsCmc+ay5/92fYOsfSckTk6CkktXahlqR4a+sQkZbFE2Veo5TcG0qyzVHvyvKsrsp6G7+BrMXgDFcrkhxY/4tg4BVgBOG/N+j/jUgLpZDUmvkqwVdmLqslSUSOVHg8XPkhxHaAvA3wzkVQVWp1VdYxDJhVuxUpxdp6pPk6/SlI7A4lu+DjX5mfHRFpURSSWrOaQRtsDvDEWluLiLRMMRlwxYdmYMpaDO9dBQGf1VVZY9MMyFoEzjC1IsmhuSPhotfA4YH102H+S1ZXJCJHSCGpNavd1c6uf2oROUrJPeDyD8yBCjbNgI9vgWDQ6qqalmHArD+by0N/AdGp1tYjzV9aP5jwJ3P5q9+bg32ISIuhM+fWLDT8t7raicgxaj8ULn4D7E5Y/i58/fu21YVo80zYucBsRTrxDqurkZZi2PXQ60wI+uCDX0BVidUViUg9KSS1Zhr+W0QaUvfT4JwXzOV5z8MPf7e2nqZSuxVpyDUQnWZpOdKC2GxwzvPmdX35m+HTu9rWlwsiLZhCUmtWXj2ijlqSRKShDJgM4/9oLn/9ECx9x9p6msKW72DHj+b1JSfeaXU10tKEx8MF/zavD17xHiybYnVFIlIPCkmtmbrbiUhjOOE28wbw8a2w/ktr62lMdVqRroaYdGvrkZap4/FwyoPm8md3w94N1tYjIoelkNSalVdPJKvudiLS0MY9BgMuBSMA710NOxZYXVHj2Dobtv8ADjeM+rXV1UhLNurX0Hk0+Mrh9TPMObdEpNlSSGrN1JIkIo3Fboezn4Nup4G/At6+CHLXWl1Vw6tpRRp8tTkcusjRsjvg/JfNCZpLd8NbF8AX95tzGopIs6OQ1Jpp4AYRaUwOF1z8H2g/DCoL4a3zoWin1VU1nK1zYNsctSJJw4lOhRtnwvAbzcfzX4KXT4Hdq6ytS0T2o5DUmmngBhFpbO5IuOw9SOoBxVnw5vn7vqBp6WY9ad4PuhJi21lbi7QernA4/Wlz7rHIFMhdDf8aA/NeaHvzj4k0YwpJrVmou12itXWISOsWkQBXfAjRGbB3HbxzCXjLra7q2Gz7wbweye5SK5I0ju6nwc0/QI9JEPDClw+arbHF2VZXJiIoJLVu6m4nIk0lrgNc+SGExZqTrr5/DQR8Vld19EKtSFeY702kMUQlw6VT4Iy/gjPcnLT4xZGw5hOrKxNp8xSSWqtgACqLzGV1txORppDS2+x65wyDDV/CJ3e0zIkzt80z50ayu+Cku6yuRlo7mw2GXQe//B7SB0BFAbx7hTm8flWp1dWJtFkKSa1VRSFQfXISHm9lJSLSlnQ8Hi563Zw4c+nb8M0jVld05L6rbkUaeBnEdbS2Fmk7knvAdd9UT1hsg5/ehH+eBDsXW12ZSJukkNRa1Qza4IkxR6ASEWkqPSfB2X83l+c+C+9e2XLmUdo+HzbPArsTTrrb6mqkrXG64bRH4epPIKY95G+GV06D7542e4iISJNRSGqtNEeSiFhp0BVw2mPm8pr/mSd6L58KK//bvK9Vqt2KFJ9pbS3SdnU+CW6eA33ONydsnvlHeO10KNhqdWUibYZCUmulQRtExGon3gE3zYWBV5hzDWUtgg9+Af83AOY8a1570ZzsWAibvlUrkjQP4fFw4atw3j/BHQ07foQXR8Gyd1vmtX4iLYxCUmulliQRaQ7S+sK5L8CvV8GYByAy2ZxP6ZuH4a/HwWd3w96NVldpqmlFGjAZ4jtZWooIYA7qMGCy2arU4XjwlsBHN8KrE2D+v6Bkt9UVirRaloak77//nrPOOouMjAxsNhvTpk2rs/2aa67BZrPVuU2cONGaYlsatSSJSHMSlQJjfgN3roRzXoDUvuArh4X/hueHwNsXm9cCWfUN+c7FsPEbc8CJk+6xpgaRg4nvBNd8Bqf8zmzp3DEfvrgX/tITXj8TFr4CpXusrlKkVbE0JJWVlTFgwABeeOGFg+4zceJEsrOzQ7cpU6Y0YYUtWM3ADWpJEpHmxBVmXq900xy46n/mRJrYzCHD3zgHXjwRlrwJvsqmrat2K1JC56Z9bZH6cDhh9L1wx3KY8Di0GwoY5qTHn90Ff+lh/h9a/Pq+L0pF5Kg5rXzxSZMmMWnSpEPu4/F4SEtLa6KKWpFQd7tEa+sQETkQmw26jDZveZvgxxfNIcNzV8H/boUZj8LQ66DvBZDU3dy/sWQthg1fVbci6VokaeZi28HIW8xbwTZYPQ1WfgjZS83W2M2zzG6sXcZAn/Og1xmaCkTkKFgakupj1qxZpKSkEB8fz9ixY/njH/9IYuLBT/yrqqqoqqoKPS4uLm6KMpufUHc7/WIUkWYusSuc8QyM/S0secO81qJ4p9m6892TEJEEmSMh80ToOBLS+oHd0XCv/91T5n3/i81aRFqK+ExzgJQT7zCHC1/1kXnLWWF2H934DXxyJ3QdC33PN4fnD4u1umqRFsFmGM1jiBSbzcZHH33EueeeG1o3depUIiIi6Ny5M5s2beLBBx8kKiqKefPm4XAc+A/kI488wqOPPrrf+qKiImJiYhqr/ObntdNh21xzZJy+F1hdjYhI/QV8sOYTWPyaOb+S/2dd7zwx0GHEvuCUMQicniN7DW85FO00v33/8Aaw2eHWRQpJ0jrs3bAvMOWu3rfe4YFu46DX6ZDY3exaGpncuC21Is1McXExsbGxh80GzTok/dzmzZvp2rUr33zzDaeeeuoB9zlQS1KHDh3aXkh6YQTsWQtXToOup1hdjYjI0fFXwa6fYNsP5m3HfKj6WQ8BZ5h5fUbmSMg8AdoPh4AXinZA4Q4zDBXtgMLt+9aV7637HP0nw/n/bLr3JdJUctdWB6YPYe/6/be7Is2BIeI7maEpvhPEdzaXYzuYE9yKtCL1DUnNvrtdbV26dCEpKYmNGzceNCR5PB48niP8RrE1KtcQ4CLSCjg90PF483bSXRAMwO6V+0LTth/MwLNtjnk7Eu5oiOtgth6d+lDj1C9itZRekPKAObpk7mrz+qUd882JaYt2gq/MvBYwd9X+P2uzQ0x7s1tfQmczPMV3goQukNzLHIhFpJVqUSFp586d5OXlkZ6ebnUpzZthaOAGEWmd7A5IH2Dejr/Z/H2Xt9HsXrxtnhmairab+0Ymm9+Ex3Wovu8Ise33rQuLUzcjaTtsNkjtY95q+L1mC2vBVijYYt7nb9m37Cs3/z8VbTdH0avN7oTk3vv+P6YPMOdFc0c24ZuSg/KWw/Z5+wbzKNwG2Kp/51Xf2+z1WEfddaFle619qpcP+Dy19uswHCb8yYKDcXQsDUmlpaVs3LhvEsEtW7awdOlSEhISSEhI4NFHH+WCCy4gLS2NTZs2cd9999GtWzcmTJhgYdUtQFUJBP3msuZJEpHWzGYzR79L6g5DrjHXle01T9Rc4ZaWJtLsOd2Q1M28/ZxhQGnuAQLUVrPbXkU+7F5h3pa+Vf1D1f8f6wSnfhpEqikEA7BrKWyeaYaiHfPNbsfNSVjLuuzF0pC0aNEiTjll3/Uyd911FwBXX301L774IsuXL+c///kPhYWFZGRkMH78eP7whz+oO93h1LQiOcPAHWFtLSIiTS0yyeoKRFo+mw2iU81bxxF1txkGFGdB9rK6t5JsM0DtXQ8r3t+3f1xmreA00Gxxikxu2FEq2xrDMKdPqAlFW2dDZVHdfWLam0PBdxkD6f3NVh0jWD1pt1Hr/mDrOPB2I3iA9dXLh9ovMrmpjk6DaDYDNzSW+l6c1apkLYaXx0J0Bty9xupqREREpC0o2Q05y+sGp8JtB9nZBuFxZo+XiITq+8Tq5XjzPiLxZ9sTjnwky9akZDds+W5fF7rirLrbw2Kh88nVwegU89oxdSneT6scuEHqqbzAvNegDSIiItJUolMh+jToftq+deX55rxNtYNT3kbAgIoC85a/qf6v4Y4yryf0RFffomotx5jbQ48PcHNHm91xnZ7mEyC85VC2x+wqXLbHvJXvrfu4aOf+oxM63OagNqHWooFqnWtACkmtUYVGthMREZFmICIBuow2bzUCPjMcleeZIaoi37wvz6teLqi+r7W9osDstuUtNW8NweE2545yVt8cbvNSBWf1fehxrW0OZ/VgBHawOWot2/cNWHCwm79i/zBUlmeOMFgvNrPLYpfRZijqcLwuq2hECkmtUc3w3xq0QURERJobhwuiUsxbfQWDUFlY3fpUCN4Sc6CqqtLq+2Lz3lvz+Ge3mvW+8n3PGfCaN29JQ7/DI+fwmNfsRCZV3/9sOSoZMgbrC/AmpJDUGqklSURERFoTu736OqVjPLcJ+M2gFPCCv9KcsNpfBYGqfcv7Pa7ct3/AXz0QwaFuxoHXOz0/C0G1gpA7qvl0/xNAIal1Ks8z79WSJCIiIrKPwwmONjKQlxwTu9UFSCMoV0uSiIiIiMjRUkhqjULd7RKtrUNEREREpAVSSGqNNHCDiIiIiMhRU0hqjSo0T5KIiIiIyNFSSGqNQgM3xFtbh4iIiIhIC6SQ1Nr4KvfNAaCWJBERERGRI6aQ1NrUDNpgc4An1tpaRERERERaIIWk1iY0aEO8OfGaiIiIiIgcEZ1FtzYVmiNJRERERORYKCS1NqFBGxSSRERERESOhkJSa1OuliQRERERkWOhkNTaqLudiIiIiMgxUUhqbcqrJ5JVdzsRERERkaOikNTaqCVJREREROSYKCS1Nhq4QURERETkmCgktTYauEFERERE5JgoJLU2oe52idbWISIiIiLSQikktTY1LUnqbiciIiIiclScVhfQppTuASPYQE9mVN8Z+x4bQagsMh+qu52IiIiIyFFRSGpKL46Esj1N81rh8U3zOiIiIiIirYxCUlOy2c1bwz1h9Z2t7uPjzgGHqwFfR0RERESk7VBIakr3rLe6AhEREREROQwN3CAiIiIiIlKLQpKIiIiIiEgtCkkiIiIiIiK1KCSJiIiIiIjUopAkIiIiIiJSi0KSiIiIiIhILQpJIiIiIiIitSgkiYiIiIiI1KLJZMVyhmGwu3w32WXZpEakkhqRisPusLosEREREWmjFJKkyeVX5rNy70pW5a1i1d5VrMpbxd6KvaHtTruTjMgM2kW1o310e9pHt9+3HNWeWE+shdWLiIiISGunkCSNzh/088H6D1iQs4CVe1eSXZa93z4Om4OUiBT2VOzBH/SzvWQ720u2w/670immEyPSRzAifQTDUocRFxbX+G9CRERERNoMm2EYhtVFNKbi4mJiY2MpKioiJibG6nLapGcXP8srK1+ps65TTCf6JvWlT2If+ib1pWdCT8Kd4QSCAXLLc9lZupOdJTvZWbqTrNIsc7lkJ3mVeXWex4aNXgm9QqFpcMpgIlwRTfn2RERERKSFqG82UEiSRrVszzKu+uIqgkaQ6/tdz8j0kRyXeBxR7qijer5ibzGLchYxP3s+C3IWsLFwY53tTruT/kn9GZE+ghMyTmBA8gBsNltDvBURERERaeEUkqopJFmnwl/BxZ9czNbirZzZ5UyeOOmJBn+NvRV7mZ89P3TbVbarzvaT2p3E74//PelR6Q3+2iIiIiLSsigkVVNIss6fF/yZt9a8RUp4Ch+e82GTDLiwo2RHKDDN2D4DX9BHuDOcOwbfweSekzVqnoiIiEgbppBUTSHJGgtzFnLdl9dhYPDiuBcZ1W5Uk9ewuWgzj/7wKEtylwDQP7k/j458lG7x3Zq8FhERERGxXn2zgSaTlQZX7ivn93N/j4HBBd0vsCQgAXSJ7cJrE1/jdyN+R6QrkuV7lnPRpxfxwtIX8Aa8ltQkIiIiIs2fQpI0uL8s+gtZpVlkRGZwz9B7LK3FbrNzSa9LmHbONMa0H4M/6OelZS9x0ScXsTR3qaW1iYiIiEjzpJAkDeqHrB94b/17APzhxD8c9Sh2DS0tMo2/j/07z4x+hoSwBDYXbeaqL67iTz/+iVJvqdXliYiIiEgzopAkDabYW8xDPzwEwGW9LmN4+nCLK6rLZrMxodME/nfu/ziv23kYGExdN5VzPz6X73Z8Z3V5IiIiItJMKCRJg/nzgj+zu3w3HaM7csfgO6wu56BiPbE8duJjvDz+ZdpHtWd3+W5u/fZW7vnuHnLLc60uT0REREQsppAkDWLm9pn8b9P/sGHjj6P+SIQrwuqSDuv49OP58JwPubbvtThsDr7c+iVnTzubt1a/hT/ot7o8EREREbGIQpIcs8LKQh6d9ygA1/S5hkEpgyyuqP7CneHcNeQuppwxhf5J/SnzlfHnhX9m8qeTNbCDiIiISBulkCTH7Nklz5JXmUfX2K7cMugWq8s5Kr0Te/Pm6W/y8MiHiXHHsK5gHVd+cSUPzX2IgsoCq8sTERERkSakkCTHrGay1juH3InH4bG4mqNnt9m5sMeFfHLeJ5zX7TwAPtr4EWdNO4v3179P0AhaXKGIiIiINAWFJDlmRVVFAKRHpltcScNICEvgsRMf481Jb9IjvgdFVUU8Nu8xrvz8Slbnrba6PBERERFpZApJckwMw6C4qhgwR41rTQamDOTdM9/lvmH3EeGMYPne5Vz62aU8Pv9xir3FVpcnIiIiIo1EIUmOSbm/HL9hjgQX54mztphG4LQ7ufK4K/nkvE+Y1GkSQSPIlLVTOPujs/l086cYhmF1iSIiIiLSwBSS5JjUdLXzODyEOcMsrqbxpESk8NTop/jXaf+iU0wn8irzeGD2A1z86cW8t+49Sr2lVpcoIiIiIg1EIUmOSU1IinW3rq52BzMyYyT/Pfu/3D7odsIcYazNX8sffvwDY98fy8M/PMyKPSvUuiQiIiLSwikkyTEp8pohKcYTY3ElTcftcHND/xv46sKvuHfovXSO7UyFv4IPN3zIZZ9fxkWfXMTUtVMp8ZZYXaqIiIiIHAWFJDkmoZakVjZoQ33Eh8VzVZ+r+Picj3l94uuc2eVM3HY36wrW8af5f2Lse2P5/dzfs2zPMrUuiYiIiLQgTqsLkJatrXW3OxCbzcaQ1CEMSR3Cb4b/hk82fcIH6z9gU9Empm2cxrSN0+ge350Lu1/ImV3PJMbddlrdRERERFoitSTJMWnLLUkHEuuJ5YrjruCjcz7izUlvcnbXs/E4PGwo2MATC55g7HtjeXD2g/yw6wcCwYDV5YqIiIjIAaglSY6JQtKB2Ww2BqYMZGDKQO4bdh+fbf6MDzZ8wIaCDXyy+RM+2fwJSeFJTOo8iTO6nMFxCcdhs9msLltEREREUEiSY1QzcINC0sHFemK5rPdlXNrrUpbvXc4nmz5h+tbp7K3Yy5ur3+TN1W/SObYzZ3Q+g9O7nE6H6A5WlywiIiLSpikkyTGpaUnSdTaHZ7PZGJA8gAHJA7h/2P3M3TWXTzd/yqwds9hStIXnlz7P80ufZ2DyQM7scibjO40nPize6rJFRERE2hxLr0n6/vvvOeuss8jIyMBmszFt2rQ62w3D4KGHHiI9PZ3w8HDGjRvHhg0brClWDkjd7Y6Oy+FiTIcxPDP6GWZdPIs/nPgHjk8/Hhs2lu5Zyh/n/5Gx743lthm3MX3LdCr8FVaXLCIiItJmWBqSysrKGDBgAC+88MIBtz/11FP8/e9/56WXXmL+/PlERkYyYcIEKisrm7hSOZhibzGgkHQsotxRnNvtXF4e/zLfXPQN9wy9h94JvfEbfmbtnMW939/LmHfH8JvZv+GjDR+xo2SHhhQXERERaUQ2o5mcbdlsNj766CPOPfdcwGxFysjI4O677+aee+4BoKioiNTUVF5//XUmT55cr+ctLi4mNjaWoqIiYmLUJayhjX1vLHsq9vDeme/RO7G31eW0KpsLN/Pp5k/5fMvnZJVm1dmWEpHC0NShDEkdwtDUoXSO7ayBH0REREQOo77ZoNlek7RlyxZycnIYN25caF1sbCwjRoxg3rx5Bw1JVVVVVFVVhR4XFxc3eq1tlWEY6m7XiLrEdeH2wbdz26DbWLpnKd/v/J5FOYtYmbeS3PJcPt/yOZ9v+RyAhLCE0FxNQ1OH0j2+O3abRvgXERERORrNNiTl5OQAkJqaWmd9ampqaNuBPPHEEzz66KONWpuYKgOVeINeQCGpMdlsNgalDGJQyiAAKvwVLN+znMW7F7No9yKW71lOfmU+X2/7mq+3fQ2YA2kMTh3M0NShDE0dSs+Enjjtzfa/u4iIiEiz0urOmh544AHuuuuu0OPi4mI6dNCQyo2hphXJaXMS4YywuJq2I9wZzoj0EYxIHwGAN+BlVd4qFuUsYvHuxfyU+xPF3mJm7ZjFrB2zAIh2RXNCuxMY3X40o9qN0qh5IiIiIofQbENSWloaALt37yY9PT20fvfu3QwcOPCgP+fxePB4PI1dnlBr+G9PjK6HsZDb4Q61NN3ADfiDftbmrw2FpsW5iynxlvDl1i/5cuuX2LDRP7k/J7c/mdHtR9Mjvof+/URERERqabYhqXPnzqSlpTFjxoxQKCouLmb+/PncfPPN1hYngEa2a66cdid9k/rSN6kv1/S9hkAwwMq8lXy/83u+3/k9a/PXsmzPMpbtWcZzPz1HakRqKDANTx9OuDPc6rcgIiIiYilLQ1JpaSkbN24MPd6yZQtLly4lISGBjh07cuedd/LHP/6R7t2707lzZ37/+9+TkZERGgFPrBUatMGtkNScOeyO0CS2tw26jZyyHGZnzeb7Hd/zY/aP7C7fzfvr3+f99e/jcXgYnjack9ufzMntTyYjKsPq8kVERESanKUhadGiRZxyyimhxzXXEl199dW8/vrr3HfffZSVlXHjjTdSWFjIqFGjmD59OmFhYVaVLLVoZLuWKS0yjYt6XMRFPS6i0l/JwpyFfLfzO77f+T3ZZdnMzprN7KzZ/Gn+n+gW143R7Udzdtez6RLXxerSRURERJpEs5knqbFonqTG8+rKV/nb4r9xdtez+dOoP1ldjhwjwzDYWLiR73Z+x+yds1m6ZylBIwiADRsTO0/kpv43KSyJiIhIi9Xi50mS5k8tSa2LzWaje3x3usd35/p+11NYWcjcXXOZvmU6s3bO4ostXzB9y3SFJREREWn1NNukHDVdk9S6xYXFcUaXM3ju1Od478z3GNthLAYGX2z5gnM/Ppf7vr+PzYWbrS5TREREpMEpJMlR0+h2bUfvxN7839j/U1gSERGRNkEhSY6autu1PQpLIiIi0hYoJMlRU3e7tkthSURERFozhSQ5akVetSS1dQpLIiIi0hopJMlRq2lJivFoaPW2TmFJREREWhOFJDkq3oCXCn8FoJYk2edwYWljwUarSxQRERE5LIUkOSo1rUh2m50oV5TF1Uhzc7CwdN7/zuOKz6/gg/UfUOItsbpMERERkQOyGYZhWF1EY6rvrLpyZDYWbOS8/51HnCeO2ZNnW12ONHNr89fyz2X/ZOaOmQSMAAAeh4dTO57Kud3OZXjacBx2h8VVioiISGtX32zgbMKapBXRoA1yJHol9OJvp/yNPeV7+GzzZ0zbOI1NRZv4fMvnfL7lc9Ii0ziry1mc2+1cOsZ0tLpcERERaePU3U6Oiob/lqORHJHMNX2v4aNzPmLKGVO4pOclRLujySnL4eUVL3PGR2dw9RdX8+GGDynzlVldroiIiLRRakmSo6KR7eRY2Gw2+ib1pW9SX+4ddi8zd8xk2sZpzNs1jyW5S1iSu4QnFzzJuI7jOLfbuQxNG4rdpu90REREpGkoJMlRKfYWA+puJ8fO4/AwsdNEJnaayO6y3Xy6+VOmbZzG1uKtfLL5Ez7Z/AkZkRmc3e1szu56Nh2iO1hdsoiIiLRy+mpWjoq620ljSI1M5bp+1/G/c//HW6e/xYU9LiTKFcWusl28tOwlTv/wdK6dfi3TNk6j3FdudbkiIiLSSqklSY5KKCSpJUkagc1mY0DyAAYkD+D+Yffz7fZvmbZxGj9m/8ii3YtYtHsRj89/nDEdxjA0dSgDUwbSLa6buuSJiIhIg1BIkqOi0e2kqYQ5wzi9y+mc3uV0cspy+N+m//Hxxo/ZXrKdL7Z8wRdbvgAg2hVN/5T+DEweyKCUQfRL6keEK8Li6kVERKQlUkiSoxIauMGtgRuk6aRFpnFj/xu5od8NLN2zlLlZc1mau5Tle5dT4ithbtZc5mbNBcBhc9AjvgeDUgYxKGUQA1MGkhaZZvE7EBERkZZAIUmOirrbiZVsNlso/AD4g37WF6znp9yfWJa7jJ/2/EROWQ5r8tewJn8N76x9BzBD1qBkMzANShlE9/juOO36NSgiIiJ16exAjopGt5PmxGl3clzicRyXeByX974cgJyyHJbmLuWn3J/4Kfcn1hesJ6cshy/KvuCLrWYXvQhnBP2S+zEoZRADkgfQJ7EP8WHxVr4VERERaQYUkuSoaHQ7ae7SItOY2HkiEztPBKDcV86KvSv4Kfcnlu5ZyvJcs4ve/Oz5zM+eH/q5jMgM+iT1CYWuPol99GWAiIhIG6OQJEfMF/RR6isF1JIkLUeEK4IR6SMYkT4CgKARZGPhRpbmLg1d17SteBu7ynaxq2wXX2/7OvSz7aLa0SexT53wpOvxREREWi+FJDliJd6S0LJOFKWlstvs9IjvQY/4Hlzc82LA/GyvzV/Lqr2rWJVn3naU7CCrNIus0iy+2vZV6Oc7RncMtTT1SepD74TeRLmjrHo7IiIi0oAUkuSI1XS1i3ZH47A7LK5GpOFEu6MZljaMYWnDQuuKqopYk7+G1XmrQ+EpqzSL7SXb2V6ynelbp4f27RTTid6JvemT2IfOsZ2J98STEJ5AvCdew5GLiIi0IApJcsR0PZK0JbGeWI5PP57j048PrSusLGR1/mpW560OhaddZbvYWryVrcVbQ3M31RbmCCMhLIH4sPg69wdaVqgSERGxlkKSHDGNbCdtXVxYHCdknMAJGSeE1hVUFpiBKW8Vq/auIrssm4KqAvIr8vEGvVQGKkPXO9VHuDOceE88MZ4YPA4PHocHt8Nd575e6+weIl2R9E3qq+AljcIwDPIq89hVan6+s0uzySrNIrssm12luyj3ldf5fHqc+z6bNY9rPq9hjrA6n9/aj8OcYXgcHlIjUmkX1Q6Xw2X1WxeRVkwhSY6Y5kgS2V98WDwntjuRE9udWGe9YRiU+8vJr8wnvzKfgsoCCioLyKvMCy3XbKvZ7g16qfBXUOGvqHeoOpwwRxgnZJzAqZmnMrr9aP3/lXoLBAPsqdhz0BCUXZZNVaCqSWuy2+ykR6bTMbojHWM60iG6Q2i5fXR7PA5Pk9YjIq2PQpIcMXW3E6k/m81GpCuSSFckHaI7HHb/UKiqyCe/Kp/iqmK8QS/egJeqQFXovvbyodZ5A15yK3LJKcvh2x3f8u2Ob3HanAxNG8q4juM4peMppESkNMGRkJZiTtYcvtz6pRmKSneRU5aD3/Af8mds2EiJSCEjKoP0yHTaRbUjPSqdjMgMot3ReAPeOp/T2p/XykDlAT/Ldfbxm/vUfHFQ4a8IDagyL3vefrWkRqaSGZ1Jh5jq8BTdkQ4xHWgf1V4tqiJSLwpJcsSKvGZIivFoZDuRhlYnVHH4UFUfhmGwrmAd32z7hhnbZ7CxcCM/Zv/Ij9k/8sf5f6R/cn/GdRzHqR1PpWNMxwZ5TWmZFuYs5Fff/AoDo856p81JamRq3RBUKwylRaQ1Wfe3mu5924u3s614GztKdpgDqRRvZ0fJDkp9peSU5ZBTlsP8nPn7/XxKeAodYzrSM6EnvRJ60TuhN13iuuCyq/ueiOxjMwzDOPxuLVdxcTGxsbEUFRURE6OT+obw+PzHmbJ2Cjf2v5HbBt1mdTkicoS2FW9jxvYZzNg+g+V7ltfZ1j2+O6d2PJVTO55Kz/ie2Gw2i6qUplZYWcgFn1xAbnkuY9qPYXyn8bSLakdGVAbJ4cktYjRTwzAoqCoIBaba4Wl7yfZQT4ifc9vddIvvRu+E3vRO6E2vxF70iO9BuDO8id+BiDS2+mYDhSQ5Yvd/fz+fb/mce4fey1V9rrK6HBE5BrvLdjNzx0xmbJ/BwpyFBIxAaFu7qHac3fVsrulzjbootXKGYXD7zNuZtWMWnWI68e6Z77bKf/OiqiJ2lOxgc9Fm1uavZU3eGtbmrw1NkF6b3Wanc0xneiX2CoWnngk9dT2fSAunkFRNIanh3fT1TczdNZc/nvhHzul2jtXliEgDKaoq4rud3zFj2wzm7pobuhg/NSKVe4fdy/jM8WpZaqXeWfMOTyx4ApfdxTtnvEOvhF5Wl9RkgkaQrJIs1uSbgWlN/hrW5K0hrzLvgPu3i2pH74TenNjuRM7ocoZam0RaGIWkagpJDe/STy9lZd5Knhv7HGM6jLG6HBFpBOW+cmbumMlzPz1HVmkWACPSR/DA8AfoGtfV4uqkIa3LX8dln12GN+jlN8N/w+W9L7e6pGZhT/meUGCqCU81/xdqxHpiubD7hUzuNZm0yDSLKhWRI6GQVE0hqeGd/uHp7CjZwRuT3mBQyiCryxGRRlTpr+TVla/yyopX8Aa9OG1OLu99OTcPvJlIV6TV5ckxKveVM/mzyWwp2sLo9qN5buxzai08hKKqItblr2PZnmX8d8N/Q6HJYXMwLnMcV/S+ggHJA3QMRZoxhaRqCkkN78QpJ1LsLebjcz6mS1wXq8sRkSawo2QHTy18ilk7ZgGQHJ7MXUPv4ozOZ+iEsAV75IdH+O+G/5ISnsIHZ39AfFi81SW1GIFggFk7Z/H2mrdZmLMwtL5PYh8u7305EztN1IS3Is2QQlI1haSGFQgGGPTmIAwMZl48k6TwJKtLEpEm9P3O73lywZPsKNkBwOCUwTw44kF6JvS0uDI5UtO3TOfe7+/Fho1/j/83w9OHW11Si7Uufx1vr3mbzzZ/hjfoBSApPImLe17MxT0uJjE80eIKRaSGQlI1haSGVVRVxKipowBYcsUSfUsm0gZVBap4Y9Ub/Gv5v6gMVOKwOZjcazK/GvgrYtz6PdsS7CzZyUWfXESpr5Qb+t3A7YNvt7qkViG/Mp/3173Pu+veZU/FHgBcdheTOk/iit5X0Duxt8UViohCUjWFpIa1vXg7Z3x0BhHOCOZfvv8kfSLSdmSXZvP0oqf5etvXACSEJXDn4Ds5p9s52G12i6uTg/EFfVwz/RqW71nOgOQBvD7xdZx2zS3fkHwBH19t+4q317zNir0rQusHpwzmiuOu4JQOp+iYi1hEIamaQlLDWrFnBZd9fhnpkel8deFXVpcjIs3AD7t+4In5T7C1eCsA/ZP789sRv+W4xOOsLUwO6O9L/s7LK14m2hXN+2e/T7uodlaX1Kot27OMt1e/zdfbvsZv+AHoFNOJXw38FRM6TdAXCiJNrL7ZQP8z5YgUec3ZyjWZnojUOCHjBD48+0PuGnIX4c5wlu9ZzuRPJ/OHeX+gqKrI6vKklvnZ8/n3in8D8PAJDysgNYEByQN4avRTTL9gOjf0u4FYTyxbi7dy3/f3cdEnFzFrxyxa+ffVIi2SQpIckZoTnli3QpKI7ONyuLi277V8cu4nTOo8CQOD99a/x5kfncn0rdOtLk8wr5d5YPYDGBhc0P0CJnSaYHVJbUpqZCq3D76d6edP51cDf0WUK4r1Beu57dvbuOLzK/gx+0erSxSRWtTdTo5Izazsp2Wexl/H/NXqcg7KCASo2riRQEEBgcIiAsVFBIqKCBaZ94Gi4up7c1uw0Ax/zrQ0XGlpODPScaWl40pPM9elZ+BKT8MerpnVRepjYc5CHp//OBsLNwJwSc9LuHfYvXgcHosra5sMw+DWb2/l+53f0yW2C1PPnEq4U7/PrFRYWchrq17jnTXvUBmoBGB42nBuG3QbA1MGWlucSCuma5KqKSQ1rBeXvcg/lv6DC3tcyMMjH7a6nAMqX7KEnEcfo2rdugZ/bkdsLM70dFzpZoByd+lKWJ/jCOvZE3tERIO/nkhL5gv6eHHpi7y84mUAeiX04i+j/0LHmI4WV9b2vLX6Lf688M+47W6mnDmFHvE9rC5Jqu2t2MvLy1/m/fXv4wv6ADi5/cncNug2eiX0srg6kdZHIamaQlLD+vOCP/PWmre4vt/13DH4DqvLqcOfl0fuM3+h6KOPALBFRODKSMcRE4sjdt/NHhtTvRxXfW8+NoJB/Dk5+LJz8GXv2reck41/VzbB8vKDv7jdjrtLZ8KOO27frXdvHNHRTfTuRZqvOVlzeHD2gxRUFRDpiuSREx5hYqeJVpfVZqzJW8Pln1+OL+jjtyN+y+Rek60uSQ4guzSbl5a/xMcbPyZgBAAYnzmeWwbdQpdYTdwu0lAUkqopJDWsB2c/yCebP+HuIXdzTd9rrC4HMLvWFb73Hrl/e5ZgcTEAsRdeQMrdd+OMb5jZ4w3DIFhSgi87B39ONr7sbHxZu6hav56K1asI7Nl7wJ9zZXasG5yOO67BahJpSXLKcrj/+/tZkrsEUPe7plLuK+eSTy9ha/FWxnYYy7OnPIvNZrO6LDmErUVb+ceyfzB9y3QMDOw2O2d2OZObB9xM++j2Vpcn0uIpJFVTSGpYt8y4he93fs9jJzzGed3Ps7ocKlasIOfRx6hcuRIAT+/epD30eyIGDWrSOny5uVSuXl3n5t+VfcB9Xe3bEzFkCBHDhxExbBiuDh100iJtgj/o54WlL4RGV+ud0JtnRj+j7neN6Pdzf8+0jdNIjUjlv2f/VyOTtiDrC9bz/E/PM3PHTACcdicXdL+AG/vfSEpEisXVibRcCknVFJIa1hWfX8GyPct49pRnObXjqZbVESgsJPdvz1L43ntgGNijoki+4w7iL52Mzdk8JujzFxTsF5x827bvt58zNZWIYcOIGDqUiOHDcHfurNAkrdrPu989esKjGmmtEXy++XPun30/dpudV8a/wtC0oVaXJEdhxZ4VPPfTc8zLngeAx+Hh1oG3cnWfq/W3QuQoKCRVU0hqWGd9dBZbi7fy2oTXLPmDawSDFH00jdxnniFQUABAzNlnkXrvvTiTk5u8niMVKCmhYukyyhcupHzRIipWrACfr84+jqQkMzANHUrEsGF4unfDZtdo/dK6/Lz73eSek7ln2D3qftdAdpTs4KJPLqLMV8bNA27mVwN/ZXVJcowW5izk70v+ztI9SwG46riruHvo3ZqMVuQIKSRVU0hqWKPfHU1+ZT4fnv0h3eO7N+lr+wsK2HnLrVQsMU+q3N26kvbQQ0QOH96kdTSkYEUFFcuWUb5wEeULF1KxbBlGVVWdfRyxsYQPHUrkiOFEjR6NOzPTompFGtaBut/9ZfRf6BDTweLKWjZf0MfVX1zNir0rGJwymFcmvILT3jxa2OXYGIbBm6vf5OlFTwNwTtdzeOSER/TvK3IEFJKqKSQ1HMMwGPTmIAJGgBkXzWjyPtE5jz9OwRtvYouIIPmWW0i46kpsLleT1tDYgl4vlcuXU75oEeULFlL+008YFRV19nF37kzUmDFEjRlDxOBBre4YSNszJ2sOD8x+gMKqQqJcUTxywiPqfncM/rb4b7y68lVi3DF8cNYHpEelW12SNLCPN37Mwz88TMAIMLbDWJ4a/ZRaYUXqSSGpmkJSwyn1ljJyykgAFl6+kDBnWJO9drCsjA2jxxAsLaXDP18iavToJnttKxk+H5WrV1O+cCGlc+dSvnAR+P2h7faYGKJGjSLqlDFEjhqlkfOkxTpQ97t7h92L2+G2uLKW5YddP/DLr38JwLNjnuXUTOuuHZXG9e32b7n3u3vxBr0MTxvO/53yf0S5o6wuS6TZU0iqppDUcLJKs5j434mEOcJYeMXCJn3tgqnvkvPII7gyO9L1iy/a7DU6gZISyubOpXTmLEq//z50XRYAdjvhgwYRfYrZyuTu2lUX9UqL4g/6ef6n53ll5StAdfe7MX+hQ7S639VHXkUeF35yIXsr9nJJz0v43fG/s7okaWQLcxZy27e3UeYr47jE43hx3IskhCVYXZZIs6aQVE0hqeGszlvNJZ9eQkpECjMumtFkr2sYBlvOPoeqDRtIfeA3JFx9dZO9dnNmBAJULF9uBqZZs6hav77Odlf79vu65Q0fht2tb+SlZZi9czYPznmQwqpCEsISeOHUF+ib1Nfqspq1oBHkVzN+xdysuXSL68aUM6Y0aWu/WGdV3ipu/vpmCqoK6BzbmX+d9i/SItOsLkuk2VJIqqaQ1HBqunF0j+/Oh2d/2GSvW7ZgAduvuhpbeDjdv5uFQ/+OB+TLyqLku+8onTWL8h/nY3i9oW32iAgiR40iauwpRI0erW550uzllOVw+7e3syZ/DeHOcP465q+MajfK6rKarf+s+g/PLHoGj8PD1DOm0i2+m9UlSRPaXLSZX379S3LKckiLTONfp/2LzrGdrS5LpFmqbzZom32W5KgUVxUDEOtu2skIC96ZYr7uWWcpIB2Cq107Ei67jI7/+hc95v1A+xeeJ+6iC3EkJxEsL6fkq6/I/s0DbDhxFFuvuIK8V16havMWq8sWOaC0yDRem/gaI9NHUuGv4LYZt/HJpk+sLqvZKfGW8OKyF3l2ybMA3DfsPgWkNqhLbBfemPgGnWI6kVOWw9VfXM3qvNVWlyXSoqklSert3bXv8sf5f+TUjqfy7CnPNslr+nbvZuPYUyEQoPPH0wjr2bNJXrc1MYJBKletouTbbymdOYuqtWvrbHd36kTU2LFEnzKG8EGDms1kvCIAvoCP3//wez7b/BkAvx7ya67tc22bv96u3FfOO2vf4bWVr1HsNb/AmtRpEn8++c9t/ti0ZfmV+dz8zc2szltNpCuS58Y+x7C0YVaXJdKs1Dcb6GxI6q3IWwRArKfpWpIK330XAgHChw5RQDpKNrud8H79CO/Xj5Q77jC75c2cRenMmZQtWIB361byX32V/FdfxREbS9SY0USdMpbIUaNwREVaXb60cS6Hi8dHPU5yeDKvr3qdvy3+G3vK93DvsHvb5CSaFf4Kpq6dymsrX6Ogyhy4pUtsF24eeDPjM8crILVxCWEJvDL+FW6feTsLcxZy09c38czoZzil4ylWlybS4qglSert6YVP88bqN7i2z7XcNfSuRn89w+tlw9hTCezdS7u//ZWYSZMa/TXbmkBpKWVz5pitTN99T7CoKLTN5nIRMXy4eR3TySfj7qARxsRaNdfdAEzoNIHHRz3eZoYIr/RX8v7693llxSvkVeYBkBmTyU0DbmJSp0k47A6LK5TmpCpQxT3f3cOsHbNw2Bw8duJjnN31bKvLEmkW1JIkDa6oyjyBjvE0Tdgs/uprAnv34kxOJnrcuCZ5zbbGERVFzMSJxEyciOH3U/HTT5R8O5OSb2fg27adsrlzKZs7l92Y1zxFnjCSiOOPJ/L443EmJlpdvrQxV/e5muTwZH4797d8ufVL8ivz+b9T/o9od7TVpTUab8DLfzf8l38v/ze5FbkAtItqx00DbuLMLmfitOvPuOzP4/DwtzF/4+EfHuZ/m/7Hb+f8lqKqIq487kqrSxNpMfTbVeqtqbvbFbz9NgBxl1yCzeVqktdsy2xOJxHDhhExbBgp992Ld8sWSmfOpGTmTCqWLsOXlUXh+x9Q+P4HAHh69SLy+OPN4DRkCPZIdc2Txnd6l9NJCE/gzpl3sjBnIddMv4YXx71ISkSK1aU1KF/Ax7RN0/jX8n+RU5YDmINZ/LL/Lzmn2zm47PqdKIfmtDv5w4l/INYTy5ur3+SphU9RWFXIrQNvVbdMkXpQdzupt6u/uJoluUv4y+i/ML7T+EZ9rcrVq9ly/gXgdNLt2xm4UlrXCVBLEywro3zRIsrm/UjZvHlUrVtXdwenk/CBA4gcOZLIkSMJ79dPwVYa1Zq8Ndz8zc3kVeaREZnBS6e91CqGPPYH/Xyy6RP+ufyfZJVmAZASnsIN/W/g/O7nt5nuhdJwDMPg5RUv89xPzwFwSc9LeHDEg23ymj4RUHc7aQQ13e2aoiUp/513AIgZP14BqRmwR0YSNXo0UaNHA+DPy6Psxx8p//FHyn6Yhy8ri4pFi6lYtJi9zz2PPSKCiGHDqrvnjcTTo7u+uZQG1TuxN2+d/hY3fXMT24q3cdUXV/H8qc8zIHmA1aUdlUAwwOdbPuelZS+xvWQ7AIlhidzQ/wYu7HEhHofH4gqlpbLZbNzY/0Zi3bH8af6feHfduxRUFnDvsHs16azIIaglSertlPdOYW/FXt4/6316JfRqtNcJFBayYfQYjKoqMt9+i4ghQxrttaRheHfsoOyHeZT9OI/yeT8SKCyss92RlETk8ccTMWI4EQMH4u7aFZtd32LKscuvzOeWb25hZd5KwhxhPDP6GUZ3GG11WfUWNIJ8ufVLXlz2IluKzHnL4j3xXNfvOi7ueTHhznCLK5TW5IstX/Dg7AfxG34cNgendDiFy3pfxtDUofoiS9qM+mYDhSSpF8MwGPLWEHxBH19d8BXpUemN9lp5r7xK7tNP4+nVi84ffahf3C2MEQxStXZtqGte+eLFGBUVdfaxR0UR3r8/4QMHEj5oIOH9++OIbdpJiqX1KPeVc/d3dzMnaw4Om4OHRz7Med3Ps7qsQwoaQWZsn8E/lv6DjYUbAbOV/po+13BZr8uIcEVYXKG0VotyFvHishdZkLMgtK5bXDcu7XUpZ3Y5U589afVaRUh65JFHePTRR+us69mzJ2t/NhnmoSgkNYxyXzkj3hkBwPzL5jfaL1EjEGDTxEn4duwg7Q+PEX/RRY3yOtJ0gl4vFUuXUv7jj5QvWkzFihX7hSYAd5cuZmgaOIDwgQPxdOum1iapN1/Qx6M/PMrHmz4G4LTM05jUeRKj2o1qVq0xxd5ipm2YxtR1U9lRsgOAaFc0V/W5iit6X0GUO8riCqWt2FiwkSlrp/DJ5k+o8Ju/k6Nd0ZzT7Rwm95pMZkymxRWKNI5WE5I++OADvvnmm9A6p9NJUlJSvZ9DIalh5JTlcNoHp+Gyu1h8xeJGa90pmTWLnTfdjD0mhu7fzcIe3nxObqRhGH4/VRs2ULF0qRmeli7Ft237fvuZrU39qoNTdWtTXFzTFywthmEY/P2nv/PvFf8OrQt3hnNy+5OZ0GmCpYFpc+Fm3ln7Dv/b9L99J6TuaC7rdRlX9bmKGLf+Pok1ir3F/G/j/5i6birbireF1p/Y7kQu63UZo9qN0iAP0qq0mpA0bdo0li5detTPoZDUMNblr+PCTy4kKTyJmRfPbLTX2X7DjZTNnk3CNdeQ+pv7G+11pHnxFxRUh6Zl5v2KFRjl5fvt5+7ceV9oGjgQT7eu2ByaRFPqWpW3iulbpvPV1q/YVbYrtL4mMI3PHM9J7U9q9MAUNILM3jmbt9e8zbzseaH16tokzVHQCDJv1zzeWfsOs3fOxsA8PWwf1Z7JvSZzbrdzm2wKEJHG1GpC0tNPP01sbCxhYWGMHDmSJ554go4dOx70Z6qqqqiqqgo9Li4upkOHDgpJx2hB9gKu++o6usZ2Zdq50xrlNbzbtrFpwkSw2eg6/QvcmWrqb6uMQGBfa9NPZouTd9u2/fazhYfj6dYNT/fueHp0J6xHDzzdu+NIStK1bIJhGKzKW8WXW79s0sB0oC51NmyM6TCGy3tfzvC04fp8SrO2o3gH7657lw83fkiJtwSAMEcYZ3Q5g0t7XUrPhJ4WVyhy9FpFSPriiy8oLS2lZ8+eZGdn8+ijj5KVlcXKlSuJjj7wDOsHuo4JUEg6Rl9v+5q7Zt3F4JTB/GfSfxrlNXY/8ST5//kPkSefRMd//atRXkNaLn9BARXLqluali2jctlyggdobQJwxMdXB6ceoQDl6d4DR5QmvG2ragLTV1u/4qttX4XmIAJw2910i+9G97judI83bz3ie5AYlnhEYeZgXeou6H4Bl/S8hPbR7Rv8fYk0pgp/BZ9v/px31r7D+oL1ofWDUgYxLG0YfRP70iepT6ubzFlat1YRkn6usLCQzMxM/vrXv3LdddcdcB+1JDWOD9Z/wKPzHmVMhzE8N/a5Bn/+YHk5G0aPIVhSQod/vhSaj0fkYIxAAO+27VRt2EDV+vXmbcMGvNu3QzB4wJ9xZWTUCk49zPDUuTM2tybobEsMw2B13mq+3Ga2MNUOTLXFe+JDgal7fHe6x3Wna1zXOl3k1KVO2gLDMFiSu4Qpa6fwzbZvCBiBOttTwlM4Lum4UGjqk9iH+LB4i6oVObRWOZlsXFwcPXr0YOPGjQfdx+Px4PFo0r2GFppI1t04/ZGLPvmUYEkJrg4diDzppEZ5DWldbA4Hni6d8XTpDBPGh9YHKyup2rSJqvUbQsGpav16/Lm5+HbtwrdrF6WzZu17IqcTT+dOuLt2w52ZibtjR9yZHXF16IgzJVndolohm81mnsgl9eHXg3/N9pLtbCjYwIaCDawvWM+Gwg1sL95OQVUBC3IW1Bkq2YaN9tHt6R7XnfbR7Zm5Y6a61EmrZ7PZGJI6hCGpQ9hdtptZO2axMm8lq/JWsalwE7kVueTuyGXWjlmhn2kX1Y4+ieb/s76Jfemd2Jto94F7AYk0Ry0qJJWWlrJp0yauvPJKq0tpc4q81SGpkS7aLKkewTD+kos17LMcE3tYGOF9+hDep0+d9YHCQqo2bKAyFJw2ULVhA8GSEqo2bKRqw/5fvtjCw3F36BAKTTUByt2xI860NA0a0QrYbDYyYzLJjMlkXOa40PoKfwWbCzeHQtP6gvVsKNhAfmU+O0p2hIIRqEudtC2pkalc0usSLuESwJwiZF3BOlbuNUPTqr2r2Fq8lazSLLJKs/hq21ehn+0U04k+SX04LuE4MmMyaRfVjoyoDLW2SrPUrEPSPffcw1lnnUVmZia7du3i4YcfxuFwcOmll1pdWptTXFUMNF5IqtpknqCGDxrUKM8v4oiLI2LYMCKGDQutMwwDf06O2eK0aTPeHdvxbduOd8cOfFlZGBUVoa58P2dzuXC1b4+7Y0dcmR1xd8zE3bGD+bhdO2wuV1O+PWlg4c7wUGtTbXkVeWwoNFudthVvo0d8D3WpkzYtwhXBoJRBDErZ9/e7xFvC6rzVrMpbxcq9K1mdt5qs0iy2Fm9la/FWPtv8WZ3nSAhLoH1Ue9pFtaNddDtzObod7aLakRaZhsuu36fS9Jp1SNq5cyeXXnopeXl5JCcnM2rUKH788UeSk5OtLq3NaczudsGyMvy7sgFzQlGRpmKz2XClp+NKT9/vOjjD68W3axfe7dvxbtu+L0Bt3453504Mnw/vli14t2zZ/4kdDlypqbgyMnBmpONKzzBfp11G6PXskRpEoiVKDE8kMTyR49OPt7oUkWYr2h3NiPQRjEgfEVqXX5nP6rzVrNy7knX568gqzWJn6U5KvCXkV+aTX5nP8r3L93suu81OWkRaKDS1i2pHemQ6yeHJJEUkkRyeTJwnTt1bpcE165A0depUq0uQao3Z3a5qy1bAHJHMGa8LPaV5sLnduDt1wt2p037bjEAAf07OvgC1fTu+HfuWjcrK0PVPB+OIjcWZUR2aQvdmgHJmZOBMSlLXUxFpNRLCEhjVbhSj2o2qs76oqijUNS+rxAxONY93le6iKlDFrrJd7CrbxUIWHvC5nXYniWGJdYJTUngSSeHmcnKE+TgxPFGtUlJvzTokSfNR05IU42n4EQK9WzYD4O6qViRpGWwOB6527XC1a0fkyJF1thmGgT93D76sLHzZu/BnZ+PblW2GpuxsfNnZBIuLCRQVESgqomrNmgO/iMuFKy0NV1oazpQU85acXOs+GWdyioY1F5EWLdYTS6wnluMSj9tvW9AIkleRF2p12lliBqjdZbvZU7GHvRV7KawqxB/0s7t8N7vLd0PeoV8v3hNPQlhC6HXjPHGh5VhPLLHu2DrbYtwxhDvD1VLVBikkSb0UVhUCjdSStGkTAJ4uXRv8uUWams1mw5Wagis1BTjwNXaB0lJ8u6oDVHY2vqx9Acq3axf+3bvB58O3Ywe+HTsO+Bw17BERBwhQKfuFKXtkhP7Ii0iLYrfZSY4wW4IGpgw84D6+gI+8yjz2lJuhqSY81dzvLTeX8yry8Bt+CqoKKKgqOKI6XHZXKEzFuGOIckcR5aq+uaOIdkfvW3ZFh7ZHu83lSGckDrsG+mlpFJKkXkIDNzTCNUneTWZLkkctSdJGOKKicPToAT16HHC74febQ5ZnZ+PLzsG/Zw/+3Nx999XLwbIyguXleLduxbt16yFf0xYWhjMxEUdSIs7EJHM5McFcTkrEkZiIM8lcb4+JUaASkRbB5XCRFplGWmTaIfcLGkGKqorYU7GH/Mp8iqqKKKoqothbTGFlIUXeotC6oqoiirxFoVYqX9DHnoo97KnYc9R1RroiQ7cIZwQRrgginZGEu8KJcEaY610RoeVwZ/h+62p+LsIVoW6DTUAhSQ6r0l9JZaASaKSWpM3V3e3UkiQCgM3pNK9Tysg45H7BsjL8e/bgy83Fn7vnkGHKqKw0uwBmHXji1DpcLpwJCdVBKhFnQjyOhEQcCfE4ExJwxCeY6xITccQnqJVKRJo9u81OfFj8EU1yaxgGFf6KOqGpuKqYMl8ZJd4SSn2loftSbyklvhJKvaX71ntL8Qa9AJT5yijzlTXY+3Hb3ftCVK0gVTtg1Q5WHocHG0f/e9phdxDmDCPcEU6YMwyPw0O401wOc4SZ984w3HZ3q/l7oJAkh1XsNVuRHDYHUa6oBn1uw+fDu20boJYkkSNlj4zEHRl5wMElaguWleHPz8e/dy+BvDz8e/Pw51Uv5+Wby3vz8OflESwpAZ8P/+7dZre/erC53TgSEqpDVHWYik/AkZCAMzEBR1ISzqRks/tfYgI2p/70iEjzZ7PZQiEknfSjeg5vwBsKUmW+Msp95ZT7yyn3lZuPa5b91duqt9feVnu7L+gznzfoxVvlPeKug43Nhm2/4FSzPCB5AHcPvdvqEutNf6nksEKDNrgbvguOd8cO8PuxhYfjTDt0U7mIHJ1QmOrQ4bD7BquqCOTn1wpS+QQK8vHnF5ihqiCfQH6BuU9+PkZlJYbXiz8nx5xz6nAvYLOZ4Sm5OjQlJe1bTk6qs94eobmHRKRlczvcoakDGoIv4AuFqJogVTt8hdb/LIx5A95je13DR6W/kip/FZWBSir8FebjQBUV/goCRgAAA7P1rcJfwc//IDT0F+2NTSFJDis0R1JjDtrQubOGOxZpBuweD/bquZzqI1hebgaogvzq4FRAID8Pf74Zpvz5eQT27DW7AOblQTBIIC+PQF4eVWvXHrqWyEjc3boS3qcvYX37Eta3D56uXbE5dAG0iLRNLoeLWEdso5yTHQtf0FcnQB0oTMV54qwu84goJMlh1cyR1CjDf282J+J0d9X1SCItkT0iAndEBLRvd9h9jUCAQEEB/r3VoSl3z77lPXWXjYoKgmVlVC5bTuWyfRNM2sLDCevdm7C+fQjva4Ynd6dO+pJFRMRCLrsLl9tFFC2rtehQFJLksBp1ZLvN1S1Juh5JpNWzORxm97qkJOjV66D7GYZBsKwc/+4cKteupXLlKipXrqRy1SqC5eVULFlCxZIl1PTEt0dEENanj3nr25fwvn1wZWa2mouHRUSk6SkkyWE1bne7mpHtFJJExGSz2XBEReKI6oqna1dizzgDACMYxLt1K5UrV1KxciWVq1ZTuXo1wfJyyhcupHzhwtBzOBISiBgymIihQwkfMpSwXj01YISIiNSb/mLIYdV0t2vovqSGYeDdXDNHkrrbicih2ex2PF264OnShdizzwbMLnzezZupqGltWrmSyrVrCeTnU/L1N5R8/Q1gXt8UPmgQEUOHEjF0CGH9+mH3eKx8OyIi0owpJMlhhUa3a+Brkvw5OQTLy8HpxN2xY4M+t4i0DTaHA0/37ni6d4fzzgXA8HqpWLWKisWLKV+4iPIlSwiWlFA2Zw5lc+aYP+d2E9a/nxmahgwlfNAgHFGRFr4TERFpThSS5LBC3e0a+JqkUFe7Dh2wuTRztIg0DJvbTcSgQUQMGkTi9ddjBAJUbdhgBqbFiylftIjA3r1ULFpMxaLF5PFPcDgIO+44IoYNC7U2OWIafrAaERFpGRSS5LBquts19DVJNV3t3Bq0QUQakc3hIKxXL8J69SLhyiswDAPftm2UL1pE+aLFlC9ciC8ri8oVK6hcsYL8V18Fmw1Pr15mYBo2lIihQ3EmJFj9VkREpIkoJMkhGYbBxoKNAKRFNuxkr1U1I9t10fVIItJ0bDYb7k6dcHfqRNyFFwLgy842Q9MCcwAI79atVK1ZQ9WaNRS8+SYA7m5d97U0DRuGKyXFyrchIiKNSCFJDmlj4UbyKvMIc4TRL6lfgz63d1PNoA1qSRIRa7nS04k96yxizzoLAP+ePWZoWriI8oULqdqwAe/GTXg3bqJwylTzZzI7EjFwkDnseL++eHr31mAQzYzh8xEoLMRfUECgsJBAQaF5X1yE4fOB34/h82P4q28+L4bfD7XXVa//+b7YbdicLmxOZ+iGy2muc9Va73KC07lvX5cLe0QE9qgoHNFR2KOisEdFY4+KxBEdbT6OjNTcXyIWU0iSQ/ox+0cAhqQOwe1wN+hzV9V0t1NLkog0M87kZGImTSJm0iQA/AUF1QNBLKR84SIq167Ft207Rdu2U/Txx9U/5MTTvbs5yW2/voT37Yune3ddc9lADMMgkJeHPy+vOuzUBJ+CAwehggKCpaVWl33U7JGRZmCKjsIRGYW9OkA5oqNwxMbiiI/HERdXfV+zHIcjNlYBS6QBKCTJIdWEpOPTj2/Q5w0UFhLIywPA06Vzgz63iEhDc8bHEz1uHNHjxgEQKCkxJ7VdsZLKFSuoWLmSQF5eqIse778PgM3jMa+HqglO/frh7tQJm8Nh5dtptgzDIFBQgHfrNrxbt+Ldti10823bZo6IeqRstv1DRUwMNrf7oC09Nld1y5CzVstQnXVOMMyWKsNf3SJVu6Wp9vo666pbqyoqCJSUEiwtJVBaQrC0jGBJCYHSUvD5AAiWlREsK4Pdu4/s/drtOGJi6r7f+DgccXE44+PNxwkJuNLScKal4YiL08TLIgegkCQH5Qv6WJSzCIDjMxo2JNW0IjnT07FHathdEWlZHNHRRI0eTdTo0YB5cu/PzjYnuV2xkoqVK6hcuYpgSQkVy5ZRsWxZ6GftERGE9elDWN++uDM74kxJxZWWap6wxse3iRPWQFHRvgD0s0AULCk5+A/a7bVO/mud+MfF1WpNqbvdERPTokJpsKqKYGlpdWgqM5dLzQAVLKleLiwiUFiAv6blrLoVLVhSAsGg+UVkYWG9Xs8WFoYrNRVneroZnNLTcKWm4UpPw5mWjis9DXt0dJv4XIrUppAkB7Vy70rK/eXEe+LpEd+jQZ+7alP1oA2d1YokIi2fzWbDlZGBKyODmPHjATCCQXzbt5utTStXmgFq9WqC5eXV3fYW7v88bjfO1FTzpDU1FWdaKq7UNPM+LQ1nahrOpMRmfdJvGIbZQpKfjz8/H3929n5h6HAn8M6MdNyZmdW3Trg7Vd+3b4fN3bBdv5sbu8djXtuWmHjEP2t4vQSKivZ1P6zV9TDULbGwgMCevfh27yaQl4dRWRkKqAetKSLCDFGpqWaISs8w/206d8bdKRNHVNSxvGWRZkkhSQ7qx11mV7vh6cOx2xq2f7N38xYA3F11PZKItE42uz00il7sWWcCYPj9VG3eTOWKlVSuWYMvOxt/To55wrp3L4bXi2/HDnw7dhz8iR0OnMnJ5glrWprZCpWSij06CntYGLawsLr3njDs4bXuw8LM7mP1bBkwgkHzxDs/vzr4FBAoMANQIL/AXFdQa7mwMNRl7FCcycm4MzNxdcrE06kTrppQ1LEj9rCwetUmddncbpzJyTiTk6nPECLBqir8u3fjy87Bn5ONL2c3vpxs/Nk5+HJy8GdnEygqIlhejnfTJrzVX3D+nCM5CU9mJ9ydO4U+8+7OnXG3b9/qQ620XgpJclCNdT0S1Br+WyPbiUgbYnM6CevRg7Ae+7fOG14vvtw9+HdXn6Duzq1e3h0KUv7cXAgE8Ofk4M/JgVrd+I6sEBu28HDsHg+28DDsntrhygM+f3VLhNn6QDB45C8REYEzPt4MQ51qWoPMm6tjJo4odbW2mt3jwd2xI+6OHQ+6T7Ciwvw85uTgy87Bl5ONLysr1DoY2LuXwJ69lO/ZS/miRT97ATuu9u3Nf/vq8OTp3Bl3ZibO1NRm3SIqopAkB1TuK2f5nuUAjEgf0eDPXzP8t7uLQpKICJitAO727XC3b3fQfQy/H39envntf04O/pzd+HabgSpYVoZRVUmwopJgVSVGZRXBygqMyiqMykqClZX7wo5hYJSXEygvh4L61WePja1z4b8zIR5HfAKOhHicCQnVAwRUr09IUGtQK2EPD8fTufNBu8cHSkr2daXcuhXvli2h5WB5Ob7t2/Ft307Z97Pr/qDTiSs9HVe7drjamV1VXe3a4W7XDle7djhTUswBMkQsok+fHNCi3YvwG37aRbWjQ3SHBn3uYGUlvqwsADzqbiciUm82pxNX9TVL4f37H9HPGoYBPp85MEBFBUbVvvBk3u8LVTaHHUdCwr7QExenoczlgBzR0YT3M+cKq80wDPx79uwLT7WD1I4d4PMdumtpzWe9OjTtu2WY1+clJmKLiNCAEtJoFJLkgBqzq513yxYwDHNI1oSEBn9+ERHZn81mA7cbh9uNIzra6nKklbPZbLhSUnClpBA5fHidbUYggH/PHnxZWaGbNysL/65deLOy8O3KNkNU9baDvkZYmNmKmZRUfZ+IMyERZ2ICjsQk8z4hEWdSohn01b1PjoBCkhzQ/Oz5QCNdj1TT1a5rV30DJCIi0sbYHA5caWm40tJgyJD9thvBYK0QtatOmPJlZeHLzcWoqMCorMS3axe+Xbvq8aI2HPHxOBMTzVbS2FhziPia+7g4HHE/WxcbqxbUNkwhSfazt2Iv6wvWA+bIdg3NWz1og1uTyIqIiMjP2Oz2ULdSBg8+4D7B8nJzhMW9e82h5vPyCOTl4c/Lr77PI5Bf/bigAAwjNELjkbBHRtYJTvbYGBxRUdijorFHR+1bjorEER39s+UobB6PvhBuoRSSZD8LshcA0CuhFwlhDd8drqp6+G9PF12PJCIiIkfOHhGBOyIC2rc/7L6G32/OEZWXTyBvrzmMfVH1HFLV80qF7gsLCRYWESguBsMgWFZGsKzskN3+Dsnlqg5S1beICOyREdgjIs3l2rfIyFrb919vCw/HHh6uboNNRCFJ9tOY1yMBoXkWNPy3iIiINDab04kzKQlnUhKw//D7B2IEAgRLSkLBKRSiiksIlpYQKCklWFp6iOVS84l8vtBkvg32flwubBER2GuG7a9ZDg8PBSlzTrSfLYd59t17wqof15pXzVP3cVsPYwpJUodhGKGQ1BhDfxt+P96tWwFNJCsiIiLNk83hCF2rdDSMYNBshSotJVBSYgansjKCZeUEy2vfataVhdYZNfuUldXZF8Mwn9vnwygqIlhU1IDv+ABcrrpzqXk82Dxu7G7PvmWPB1v1Y3vYvuW628xlZ1o6kSMa/jKOxqKQJHXsKNlBdlk2TruTwSkH7gd8LHw7d2L4fNjCwnBlZDT484uIiIhYzWa344iOxhEdjSs9/ZifzzAMjJrh+ysqCFZW7luuqCRYUW4O5V97ubzCHNa/eh+jyhzqv87Q/1VV5vbqKQEMr3ffi/p8BH0+KC0lcMzvACJPPFEhSVqumlakgckDiXBFNPjzV22uHtmuc2dsdnuDP7+IiIhIa2Oz2UJd4YiPb7TXMQIBM4zVzKNWHa7MdV4Mb9W+7dWPg5WV5nJVlfm4ZrmqiqC3KrQtrE+fRqu7MSgkSR2N2dUOoKrmeqQuuh5JREREpDmxORzmNU4RDf9FeUujr/IlJBAMsCDHHNmu8QZtqG5J0vDfIiIiItJMKSRJyNqCtRRVFRHpiqRvUt9GeY2qLWZI8mjQBhERERFpphSSJGR+9nwAhqUNw2lv+J6YhmHUaklSdzsRERERaZ4UkiTkx12NOz+SP3ePOW+A3Y67U6dGeQ0RERERkWOlkCQAVAWqWJK7BGjE65E2m4M2uDt0wO52N8priIiIiIgcK4UkAWBp7lKqAlUkhyfTJbZxusJV1XS10/VIIiIiItKMKSQJsO96pBHpI7DZbI3yGjUtSR6NbCciIiIizZhCkgD75kdqrK52UKslqYtakkRERESk+dJksk3os82f4Q14rS5jP37Dz6q8VUDjTSIL4N1cM/y3RrYTERERkeZLIakJPbXwKfIr860u46A6xXQiLTKtUZ47UFKCf88eQMN/i4iIiEjzppDUhE7IOIESb4nVZRyQ3WZncs/Jjfb83k3m9UjOlBQc0dGN9joiIiIiIsdKIakJPXHSE1aXYJl9I9upFUlEREREmjcN3CBNoio0sp0GbRARERGR5k0hSZqENzSynYb/FhEREZHmTSFJmkTVlpqR7dSSJCIiIiLNm0KSNLpgVRW+HTsBjWwnIiIiIs2fQpI0Ou/WbRAMYo+OxpmcbHU5IiIiIiKHpJAkja5i2VIAPF26YLPZrC1GREREROQwFJKkURnBIPmv/weA6NPGWVyNiIiIiMjhKSRJoyr99lu8mzdjj44mbnLjTVYrIiIiItJQFJKk0RiGwd5/vQxA/GWX4YiKsrgiEREREZHDU0iSRlO+YCGVy5dj83hIuPIKq8sREREREakXhSRpNHkvm61IcRecjzMpyeJqRERERETqRyFJGkXl6tWUzZkDDgcJv/iF1eWIiIiIiNSbQpI0irx//xuAmEmTcLdvb3E1IiIiIiL1p5AkDc67bRvF078EIPGG6y2uRkRERETkyCgkSYPLe/U1CAaJHH0yYT17Wl2OiIiIiMgRUUiSBuXLzaXoww8BSLrhBourERERERE5cgpJ0qAK3nwTw+cjfNAgwocMsbocEREREZEjppAkDSZQUkLBlKkAJN5wAzabzeKKRERERESOnEKSNJiCKVMJlpbi6d6NqDGjrS5HREREROSoKCRJgwhWVpL/xhsAJF5/PTa7PloiIiIi0jK1iDPZF154gU6dOhEWFsaIESNYsGCB1SXJzxRNm0Zg716cGenEnH661eWIiIiIiBy1Zh+S3n33Xe666y4efvhhlixZwoABA5gwYQK5ublWlybVDL+fvFdeBSDx2l9gc7ksrkhERERE5OjZDMMwrC7iUEaMGMGwYcN4/vnnAQgGg3To0IHbbruN3/zmN4f9+eLiYmJjYykqKiImJqaxyz2kklmzMLxeS2toDFVr17H3H//AER9Pt29nYA8Pt7okEREREZH91DcbOJuwpiPm9XpZvHgxDzzwQGid3W5n3LhxzJs374A/U1VVRVVVVehxcXFxo9dZX9m//R2BvDyry2g08VdeoYAkIiIiIi1esw5Je/fuJRAIkJqaWmd9amoqa9euPeDPPPHEEzz66KNNUd4RC+/Xj0AzCm0NyZmSQsJVV1ldhoiIiIjIMWvWIeloPPDAA9x1112hx8XFxXTo0MHCivbp8NKLVpcgIiIiIiKH0axDUlJSEg6Hg927d9dZv3v3btLS0g74Mx6PB4/H0xTliYiIiIhIK9SsR7dzu90MGTKEGTNmhNYFg0FmzJjByJEjLaxMRERERERaq2bdkgRw1113cfXVVzN06FCGDx/Os88+S1lZGddee63VpYmIiIiISCvU7EPSJZdcwp49e3jooYfIyclh4MCBTJ8+fb/BHERERERERBpCs58n6Vg1p3mSRERERETEOvXNBs36miQREREREZGmppAkIiIiIiJSi0KSiIiIiIhILQpJIiIiIiIitSgkiYiIiIiI1KKQJCIiIiIiUotCkoiIiIiISC0KSSIiIiIiIrUoJImIiIiIiNSikCQiIiIiIlKLQpKIiIiIiEgtCkkiIiIiIiK1KCSJiIiIiIjUopAkIiIiIiJSi0KSiIiIiIhILQpJIiIiIiIitSgkiYiIiIiI1KKQJCIiIiIiUotCkoiIiIiISC0KSSIiIiIiIrU4rS6gsRmGAUBxcbHFlYiIiIiIiJVqMkFNRjiYVh+SSkpKAOjQoYPFlYiIiIiISHNQUlJCbGzsQbfbjMPFqBYuGAyya9cuoqOjsdlsltZSXFxMhw4d2LFjBzExMZbW0prpODc+HeOmoePcNHScm4aOc+PTMW4aOs5No7GOs2EYlJSUkJGRgd1+8CuPWn1Lkt1up3379laXUUdMTIz+UzUBHefGp2PcNHScm4aOc9PQcW58OsZNQ8e5aTTGcT5UC1INDdwgIiIiIiJSi0KSiIiIiIhILQpJTcjj8fDwww/j8XisLqVV03FufDrGTUPHuWnoODcNHefGp2PcNHScm4bVx7nVD9wgIiIiIiJyJNSSJCIiIiIiUotCkoiIiIiISC0KSSIiIiIiIrUoJImIiIiIiNSikNSEXnjhBTp16kRYWBgjRoxgwYIFVpfULD3xxBMMGzaM6OhoUlJSOPfcc1m3bl2dfcaMGYPNZqtzu+mmm+rss337ds444wwiIiJISUnh3nvvxe/319ln1qxZDB48GI/HQ7du3Xj99dcb++01G4888sh+x7BXr16h7ZWVldxyyy0kJiYSFRXFBRdcwO7du+s8h47x4XXq1Gm/42yz2bjlllsAfZaPxvfff89ZZ51FRkYGNpuNadOm1dluGAYPPfQQ6enphIeHM27cODZs2FBnn/z8fC6//HJiYmKIi4vjuuuuo7S0tM4+y5cv56STTiIsLIwOHTrw1FNP7VfL+++/T69evQgLC6Nfv358/vnnDf5+rXKo4+zz+bj//vvp168fkZGRZGRkcNVVV7Fr1646z3Ggz/+TTz5ZZx8d50N/nq+55pr9juHEiRPr7KPP86Ed7hgf6He0zWbj6aefDu2jz/Lh1ef8rSnPLY75vNuQJjF16lTD7XYbr776qrFq1SrjhhtuMOLi4ozdu3dbXVqzM2HCBOO1114zVq5caSxdutQ4/fTTjY4dOxqlpaWhfUaPHm3ccMMNRnZ2duhWVFQU2u73+42+ffsa48aNM3766Sfj888/N5KSkowHHnggtM/mzZuNiIgI46677jJWr15tPPfcc4bD4TCmT5/epO/XKg8//LDRp0+fOsdwz549oe033XST0aFDB2PGjBnGokWLjOOPP9444YQTQtt1jOsnNze3zjH++uuvDcCYOXOmYRj6LB+Nzz//3Pjtb39rfPjhhwZgfPTRR3W2P/nkk0ZsbKwxbdo0Y9myZcbZZ59tdO7c2aioqAjtM3HiRGPAgAHGjz/+aMyePdvo1q2bcemll4a2FxUVGampqcbll19urFy50pgyZYoRHh5u/POf/wztM3fuXMPhcBhPPfWUsXr1auN3v/ud4XK5jBUrVjT6MWgKhzrOhYWFxrhx44x3333XWLt2rTFv3jxj+PDhxpAhQ+o8R2ZmpvHYY4/V+XzX/l2u43z4z/PVV19tTJw4sc4xzM/Pr7OPPs+HdrhjXPvYZmdnG6+++qphs9mMTZs2hfbRZ/nw6nP+1lTnFg1x3q2Q1ESGDx9u3HLLLaHHgUDAyMjIMJ544gkLq2oZcnNzDcD47rvvQutGjx5t3HHHHQf9mc8//9yw2+1GTk5OaN2LL75oxMTEGFVVVYZhGMZ9991n9OnTp87PXXLJJcaECRMa9g00Uw8//LAxYMCAA24rLCw0XC6X8f7774fWrVmzxgCMefPmGYahY3y07rjjDqNr165GMBg0DEOf5WP18xOeYDBopKWlGU8//XRoXWFhoeHxeIwpU6YYhmEYq1evNgBj4cKFoX2++OILw2azGVlZWYZhGMY//vEPIz4+PnSMDcMw7r//fqNnz56hxxdffLFxxhln1KlnxIgRxi9/+csGfY/NwYFOLH9uwYIFBmBs27YttC4zM9P429/+dtCf0XGu62Ah6Zxzzjnoz+jzfGTq81k+55xzjLFjx9ZZp8/ykfv5+VtTnls0xHm3uts1Aa/Xy+LFixk3blxond1uZ9y4ccybN8/CylqGoqIiABISEuqsf/vtt0lKSqJv37488MADlJeXh7bNmzePfv36kZqaGlo3YcIEiouLWbVqVWif2v8mNfu0pX+TDRs2kJGRQZcuXbj88svZvn07AIsXL8bn89U5Pr169aJjx46h46NjfOS8Xi9vvfUWv/jFL7DZbKH1+iw3nC1btpCTk1PneMTGxjJixIg6n924uDiGDh0a2mfcuHHY7Xbmz58f2ufkk0/G7XaH9pkwYQLr1q2joKAgtI+O+z5FRUXYbDbi4uLqrH/yySdJTExk0KBBPP3003W6zeg418+sWbNISUmhZ8+e3HzzzeTl5YW26fPcsHbv3s1nn33Gddddt982fZaPzM/P35rq3KKhzrudR/Jm5ejs3buXQCBQ5x8cIDU1lbVr11pUVcsQDAa58847OfHEE+nbt29o/WWXXUZmZiYZGRksX76c+++/n3Xr1vHhhx8CkJOTc8DjXbPtUPsUFxdTUVFBeHh4Y741y40YMYLXX3+dnj17kp2dzaOPPspJJ53EypUrycnJwe1273eyk5qaetjjV7PtUPu0lWP8c9OmTaOwsJBrrrkmtE6f5YZVc0wOdDxqH6+UlJQ6251OJwkJCXX26dy5837PUbMtPj7+oMe95jnaksrKSu6//34uvfRSYmJiQutvv/12Bg8eTEJCAj/88AMPPPAA2dnZ/PWvfwV0nOtj4sSJnH/++XTu3JlNmzbx4IMPMmnSJObNm4fD4dDnuYH95z//ITo6mvPPP7/Oen2Wj8yBzt+a6tyioKCgQc67FZKkWbvllltYuXIlc+bMqbP+xhtvDC3369eP9PR0Tj31VDZt2kTXrl2buswWadKkSaHl/v37M2LECDIzM3nvvffa1El1U3rllVeYNGkSGRkZoXX6LEtL5/P5uPjiizEMgxdffLHOtrvuuiu03L9/f9xuN7/85S954okn8Hg8TV1qizR58uTQcr9+/ejfvz9du3Zl1qxZnHrqqRZW1jq9+uqrXH755YSFhdVZr8/ykTnY+VtLou52TSApKQmHw7Hf6B27d+8mLS3Noqqav1tvvZVPP/2UmTNn0r59+0PuO2LECAA2btwIQFpa2gGPd822Q+0TExPTJkNCXFwcPXr0YOPGjaSlpeH1eiksLKyzT+3PrI7xkdm2bRvffPMN119//SH302f52NQck0P9vk1LSyM3N7fOdr/fT35+foN8vtvS7/WagLRt2za+/vrrOq1IBzJixAj8fj9bt24FdJyPRpcuXUhKSqrzO0Kf54Yxe/Zs1q1bd9jf06DP8qEc7Pytqc4tGuq8WyGpCbjdboYMGcKMGTNC64LBIDNmzGDkyJEWVtY8GYbBrbfeykcffcS33367X/P1gSxduhSA9PR0AEaOHMmKFSvq/OGo+QN+3HHHhfap/W9Ss09b/TcpLS1l06ZNpKenM2TIEFwuV53js27dOrZv3x46PjrGR+a1114jJSWFM84445D76bN8bDp37kxaWlqd41FcXMz8+fPrfHYLCwtZvHhxaJ9vv/2WYDAYCqkjR47k+++/x+fzhfb5+uuv6dmzJ/Hx8aF92vJxrwlIGzZs4JtvviExMfGwP7N06VLsdnuoe5iO85HbuXMneXl5dX5H6PPcMF555RWGDBnCgAEDDruvPsv7O9z5W1OdWzTYeXe9h3iQYzJ16lTD4/EYr7/+urF69WrjxhtvNOLi4uqM3iGmm2++2YiNjTVmzZpVZ6jN8vJywzAMY+PGjcZjjz1mLFq0yNiyZYvx8ccfG126dDFOPvnk0HPUDCE5fvx4Y+nSpcb06dON5OTkAw4hee+99xpr1qwxXnjhhVY9bPLP3X333casWbOMLVu2GHPnzjXGjRtnJCUlGbm5uYZhmMN0duzY0fj222+NRYsWGSNHjjRGjhwZ+nkd4/oLBAJGx44djfvvv7/Oen2Wj05JSYnx008/GT/99JMBGH/961+Nn376KTSq2pNPPmnExcUZH3/8sbF8+XLjnHPOOeAQ4IMGDTLmz59vzJkzx+jevXudIZMLCwuN1NRU48orrzRWrlxpTJ061YiIiNhvOF+n02k888wzxpo1a4yHH364VQ3ne6jj7PV6jbPPPtto3769sXTp0jq/q2tGoPrhhx+Mv/3tb8bSpUuNTZs2GW+99ZaRnJxsXHXVVaHX0HE+9HEuKSkx7rnnHmPevHnGli1bjG+++cYYPHiw0b17d6OysjL0HPo8H9rhfmcYhjmEd0REhPHiiy/u9/P6LNfP4c7fDKPpzi0a4rxbIakJPffcc0bHjh0Nt9ttDB8+3Pjxxx+tLqlZAg54e+211wzDMIzt27cbJ598spGQkGB4PB6jW7duxr333ltnbhnDMIytW7cakyZNMsLDw42kpCTj7rvvNnw+X519Zs6caQwcONBwu91Gly5dQq/RFlxyySVGenq64Xa7jXbt2hmXXHKJsXHjxtD2iooK41e/+pURHx9vREREGOedd56RnZ1d5zl0jOvnyy+/NABj3bp1ddbrs3x0Zs6cecDfEVdffbVhGOYw4L///e+N1NRUw+PxGKeeeup+xz4vL8+49NJLjaioKCMmJsa49tprjZKSkjr7LFu2zBg1apTh8XiMdu3aGU8++eR+tbz33ntGjx49DLfbbfTp08f47LPPGu19N7VDHectW7Yc9Hd1zRxgixcvNkaMGGHExsYaYWFhRu/evY3HH3+8zsm9Yeg4H+o4l5eXG+PHjzeSk5MNl8tlZGZmGjfccMN+J3r6PB/a4X5nGIZh/POf/zTCw8ONwsLC/X5en+X6Odz5m2E07bnFsZ5326rflIiIiIiIiKBrkkREREREROpQSBIREREREalFIUlERERERKQWhSQREREREZFaFJJERERERERqUUgSERERERGpRSFJRERERESkFoUkERERERGRWhSSRESk2brmmms499xzLXv9K6+8kscff7xe+06ePJm//OUvjVyRiIg0BZthGIbVRYiISNtjs9kOuf3hhx/m17/+NYZhEBcX1zRF1bJs2TLGjh3Ltm3biIqKOuz+K1eu5OSTT2bLli3ExsY2QYUiItJYFJJERMQSOTk5oeV3332Xhx56iHXr1oXWRUVF1SucNJbrr78ep9PJSy+9VO+fGTZsGNdccw233HJLI1YmIiKNTd3tRETEEmlpaaFbbGwsNputzrqoqKj9utuNGTOG2267jTvvvJP4+HhSU1N5+eWXKSsr49prryU6Oppu3brxxRdf1HmtlStXMmnSJKKiokhNTeXKK69k7969B60tEAjwwQcfcNZZZ9VZ/49//IPu3bsTFhZGamoqF154YZ3tZ511FlOnTj32gyMiIpZSSBIRkRblP//5D0lJSSxYsIDbbruNm2++mYsuuogTTjiBJUuWMH78eK688krKy8sBKCwsZOzYsQwaNIhFixYxffp0du/ezcUXX3zQ11i+fDlFRUUMHTo0tG7RokXcfvvtPPbYY6xbt47p06dz8skn1/m54cOHs2DBAqqqqhrnzYuISJNQSBIRkRZlwIAB/O53v6N79+488MADhIWFkZSUxA033ED37t156KGHyMvLY/ny5QA8//zzDBo0iMcff5xevXoxaNAgXn31VWbOnMn69esP+Brbtm3D4XCQkpISWrd9+3YiIyM588wzyczMZNCgQdx+++11fi4jIwOv11unK6GIiLQ8CkkiItKi9O/fP7TscDhITEykX79+oXWpqakA5ObmAuYADDNnzgxd4xQVFUWvXr0A2LRp0wFfo6KiAo/HU2dwidNOO43MzEy6dOnClVdeydtvvx1qraoRHh4OsN96ERFpWRSSRESkRXG5XHUe22y2Outqgk0wGASgtLSUs846i6VLl9a5bdiwYb/ucjWSkpIoLy/H6/WG1kVHR7NkyRKmTJlCeno6Dz30EAMGDKCwsDC0T35+PgDJyckN8l5FRMQaCkkiItKqDR48mFWrVtGpUye6detW5xYZGXnAnxk4cCAAq1evrrPe6XQybtw4nnrqKZYvX87WrVv59ttvQ9tXrlxJ+/btSUpKarT3IyIijU8hSUREWrVbbrmF/Px8Lr30UhYuXMimTZv48ssvufbaawkEAgf8meTkZAYPHsycOXNC6z799FP+/ve/s3TpUrZt28Ybb7xBMBikZ8+eoX1mz57N+PHjG/09iYhI41JIEhGRVi0jI4O5c+cSCAQYP348/fr148477yQuLg67/eB/Bq+//nrefvvt0OO4uDg+/PBDxo4dS+/evXnppZeYMmUKffr0AaCyspJp06Zxww03NPp7EhGRxqXJZEVERA6goqKCnj178u677zJy5MjD7v/iiy/y0Ucf8dVXXzVBdSIi0pjUkiQiInIA4eHhvPHGG4ecdLY2l8vFc88918hViYhIU1BLkoiIiIiISC1qSRIREREREalFIUlERERERKQWhSQREREREZFaFJJERERERERqUUgSERERERGpRSFJRERERESkFoUkERERERGRWhSSREREREREalFIEhERERERqeX/AQCHbov3G6ftAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 1000x800 with 1 Axes>"
]
@@ -1408,10 +1458,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:51.693960Z",
- "iopub.status.busy": "2023-12-01T10:46:51.693753Z",
- "iopub.status.idle": "2023-12-01T10:46:51.696655Z",
- "shell.execute_reply": "2023-12-01T10:46:51.696271Z"
+ "iopub.execute_input": "2024-11-29T15:43:55.530559Z",
+ "iopub.status.busy": "2024-11-29T15:43:55.530377Z",
+ "iopub.status.idle": "2024-11-29T15:43:55.533813Z",
+ "shell.execute_reply": "2024-11-29T15:43:55.533183Z"
}
},
"outputs": [],
@@ -1441,10 +1491,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:51.698493Z",
- "iopub.status.busy": "2023-12-01T10:46:51.698320Z",
- "iopub.status.idle": "2023-12-01T10:46:51.897381Z",
- "shell.execute_reply": "2023-12-01T10:46:51.896840Z"
+ "iopub.execute_input": "2024-11-29T15:43:55.536677Z",
+ "iopub.status.busy": "2024-11-29T15:43:55.536425Z",
+ "iopub.status.idle": "2024-11-29T15:43:55.740184Z",
+ "shell.execute_reply": "2024-11-29T15:43:55.739489Z"
}
},
"outputs": [
@@ -1486,10 +1536,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:51.899420Z",
- "iopub.status.busy": "2023-12-01T10:46:51.899240Z",
- "iopub.status.idle": "2023-12-01T10:46:51.902259Z",
- "shell.execute_reply": "2023-12-01T10:46:51.901884Z"
+ "iopub.execute_input": "2024-11-29T15:43:55.742591Z",
+ "iopub.status.busy": "2024-11-29T15:43:55.742344Z",
+ "iopub.status.idle": "2024-11-29T15:43:55.746831Z",
+ "shell.execute_reply": "2024-11-29T15:43:55.746209Z"
}
},
"outputs": [
@@ -1503,9 +1553,9 @@
" IMAX = 774 NBBIEF= 1 \n",
" I1,I2 = 1 774 \n",
" X\n",
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+ " 13.264000 13.220000 13.176000 13.131000 13.085000\n",
+ " 13.038000 12.989000 12.940000 12.889000 12.837000\n",
+ " 12.782000 12.726000 12.667000 12.604000 12.538000\n",
+ " 12.467000 12.389000 12.302000 12.202000 12.115000\n",
+ " 12.030000 11.944000 11.860000 11.775000 11.688000\n",
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+ " 11.230000 11.161000 11.092000 11.023000 10.953000\n",
+ " 10.881000 10.809000 10.733000 10.659000 10.583000\n",
+ " 10.508000 10.431000 10.355000 10.277000 10.197000\n",
+ " 10.116000 10.032000 9.944000 9.848000 9.712000\n",
+ " 9.612000 9.504000 9.376000 9.239000 9.089000\n",
+ " 8.918000 8.704000 8.330000 8.021000 7.738000\n",
+ " 7.461000 7.196000 6.913000 6.635000 6.423000\n",
+ " 6.136000 5.902000 5.642000 5.298000 5.144000\n",
+ " 4.879000 4.539000 4.128000 4.306000 4.388000\n",
+ " 4.372000 4.353000 4.313000 4.281000 4.255000\n",
+ " 4.233000 4.214000 4.197000 4.182000 4.169000\n",
+ " 4.157000 4.146000 4.136000 4.127000 4.118000\n",
+ " 4.109000 4.102000 4.094000 4.087000 4.080000\n",
+ " 4.079000 4.073000 4.066000 4.058000 4.049000\n",
+ " 4.039000 4.027000 4.012000 3.968000 3.941000\n",
+ " 3.927000 3.914000 3.901000 3.887000 3.874000\n",
+ " 3.860000 3.846000 3.832000 3.818000 3.804000\n",
+ " 3.789000 3.771000 3.751000 3.729000 3.706000\n",
+ " 3.681000 3.653000 3.623000 3.590000 3.553000\n",
+ " 3.513000 3.467000 3.416000 3.357000 3.289000\n",
+ " 3.208000 3.111000 2.988000 2.819000 2.560000\n",
+ " 2.766000 2.789000 2.772000 2.749000 2.727000\n",
+ " 2.707000 2.688000 2.671000 2.656000 2.642000\n",
+ " 2.629000 2.616000 2.605000 2.595000 2.585000\n",
+ " 2.575000 2.566000 2.558000 2.549000 2.542000\n",
+ " 2.534000 2.527000 2.519000 2.513000 2.506000\n",
+ " 2.499000 2.493000 2.487000 2.481000 2.475000\n",
+ " 2.469000 2.463000 2.457000 2.452000 2.446000\n",
+ " 2.440000 2.435000 2.429000 2.424000 2.418000\n",
+ " 2.413000 2.408000 2.403000 2.398000 2.394000\n",
+ " 2.390000 2.386000 2.383000 2.379000 2.376000\n",
+ " 2.373000 2.370000 2.367000 2.364000 2.362000\n",
+ " 2.359000 2.357000 2.354000 2.352000 2.350000\n",
+ " 2.347000 2.345000 2.342000 2.340000 2.337000\n",
+ " 2.335000 2.332000 2.329000 2.327000 2.324000\n",
+ " 2.321000 2.318000 2.315000 2.312000 2.309000\n",
+ " 2.306000 2.303000 2.299000 2.296000 2.292000\n",
+ " 2.288000 2.284000 2.280000 2.275000 2.271000\n",
+ " 2.266000 2.261000 2.255000 2.250000 2.244000\n",
+ " 2.237000 2.230000 2.223000 2.215000 2.206000\n",
+ " 2.197000 2.187000 2.175000 2.181000 2.178000\n",
+ " 2.176000 2.173000 2.171000 2.168000 2.166000\n",
+ " 2.163000 2.160000 2.157000 2.154000 2.151000\n",
+ " 2.148000 2.144000 2.141000 2.137000 2.134000\n",
+ " 2.130000 2.125000 2.121000 2.117000 2.112000\n",
+ " 2.107000 2.101000 2.095000 2.089000 2.082000\n",
+ " 2.075000 2.066000 2.057000 2.046000 2.033000\n",
+ " 2.016000 1.988000 1.958000 1.933000 1.907000\n",
+ " 1.879000 1.851000 1.823000 1.795000 1.769000\n",
+ " 1.744000 1.721000 1.700000 1.680000 1.661000\n",
+ " 1.643000 1.627000 1.611000 1.596000 1.581000\n",
+ " 1.567000 1.554000 1.541000 1.529000 1.517000\n",
+ " 1.506000 1.495000 1.484000 1.466000\n",
" Q\n",
- " 50.000000 50.071506 49.861740 49.831932 49.851116\n",
- " 49.861343 49.852371 49.916565 50.041233 48.516026\n",
- " 48.917484 48.174526 47.367168 49.772213 48.363426\n",
- " 49.924805 49.959156 49.896793 49.853489 49.849388\n",
- " 49.877247 49.922989 49.974552 50.024536 50.069778\n",
- " 50.109936 50.146164 50.180195 50.213707 50.248474\n",
- " 50.283482 50.333225 50.303291 50.797516 51.251682\n",
- " 51.659672 52.026093 52.320759 52.733063 52.486687\n",
- " 52.446095 52.457005 52.488724 52.529125 52.572418\n",
- " 52.615513 52.656681 52.694912 52.729561 52.760750\n",
- " 52.785583 52.821411 52.756569 53.293285 53.244671\n",
- " 52.423088 52.364506 52.133236 52.056572 51.967564\n",
- " 51.825302 51.354897 50.324959 52.993950 53.188938\n",
- " 53.233013 53.246155 53.199406 56.803806 53.925751\n",
- " 52.966743 51.766457 49.708179 50.735714 53.842552\n",
- " 53.812531 53.081455 53.001476 52.952499 52.905613\n",
- " 52.867744 52.908501 52.941959 52.972992 53.004139\n",
- " 53.035278 53.070034 53.116440 53.054146 52.994484\n",
- " 53.002937 53.015587 53.411598 51.949821 51.386116\n",
- " 51.032021 50.777481 50.582195 50.424049 50.289749\n",
- " 50.170662 50.063683 49.949230 49.711479 49.502945\n",
- " 49.314674 49.140263 48.919350 48.645149 48.383446\n",
- " 48.187050 48.022327 48.701797 49.262878 49.724663\n",
- " 50.103413 50.413124 50.666317 50.874432 51.047821\n",
- " 51.195473 51.324944 51.440781 51.556709 51.616753\n",
- " 51.722080 51.843670 51.524651 51.470779 51.823898\n",
- " 52.428322 53.438133 53.627548 53.748676 53.818546\n",
- " 53.855659 53.873096 53.878330 53.877525 53.859627\n",
- " 53.918201 53.794701 53.671249 52.973900 52.747601\n",
- " 52.665726 52.650936 52.667706 52.703369 52.735569\n",
- " 52.468666 52.344223 52.406223 52.265038 52.369164\n",
- " 52.590061 52.756329 52.839127 52.826870 52.981514\n",
- " 51.824867 51.328800 51.008362 50.755959 50.606312\n",
- " 50.541870 50.553234 50.636822 50.813023 51.010757\n",
- " 51.411541 51.796650 55.041039 55.486076 54.707832\n",
- " 54.964687 55.230671 55.490467 55.751179 56.016079\n",
- " 56.284657 56.553280 56.816017 57.065544 57.294170\n",
- " 57.494762 57.661552 57.790699 57.880707 57.879887\n",
- " 57.778919 57.675770 57.509117 57.270538 56.954929\n",
- " 47.444740 45.158791 45.384655 45.416340 45.313618\n",
- " 45.251881 45.225380 45.230171 45.263500 45.323441\n",
- " 45.399899 46.158619 24.428095 24.263466 24.255800\n",
- " 24.212450 24.121864 23.978991 23.829149 23.669966\n",
- " 23.487862 23.256447 22.923780 22.384905 21.454338\n",
- " 19.278400 27.898647 28.131838 27.995390 27.532576\n",
- " 26.628082 25.305948 23.649015 21.819469 33.168770\n",
- " 36.923054 38.745209 39.615913 39.782108 38.838470\n",
- " 53.213997 54.069939 54.358120 54.537704 54.635986\n",
- " 54.663559 54.628410 54.536411 54.389523 54.180500\n",
- " 53.876968 53.152042 50.105789 55.257496 54.460415\n",
- " 53.965012 53.738251 53.613117 53.520351 53.573071\n",
- " 43.872459 57.273964 55.902550 56.265533 56.534859\n",
- " 56.714500 56.797344 56.753765 56.510525 55.863976\n",
- " 53.820755 48.262966 49.346790 50.085938 50.799492\n",
- " 51.487953 52.215820 52.317879 52.333294 52.338341\n",
- " 52.328072 52.296665 52.279415 52.288528 52.316311\n",
- " 52.347698 52.371567 52.385784 52.391850 52.418041\n",
- " 51.836620 50.879501 50.442879 49.993187 49.484791\n",
- " 48.717396 47.592220 46.659378 46.275318 45.661148\n",
- " 44.833656 46.405521 48.793766 52.480427 57.065357\n",
- " 62.123547 67.329079 72.430824 77.021240 79.671432\n",
- " 81.983711 83.867111 85.332047 86.396675 87.082802\n",
- " 87.412483 87.402679 87.054794 86.329094 85.019646\n",
- " 83.263168 83.660835 83.901466 84.067200 84.037415\n",
- " 83.395477 83.562134 79.635612 74.288239 104.497177\n",
- " 101.576897 103.736404 106.012634 108.336922 110.681549\n",
- " 113.017960 115.320564 117.568314 119.744476 121.835564\n",
- " 123.830101 125.717926 127.490135 129.139481 130.661118\n",
- " 132.053360 133.318039 134.460770 135.490372 136.418030\n",
- " 137.255676 138.014084 138.700363 139.315277 139.849915\n",
- " 140.281540 140.567200 140.631073 140.329880 139.564148\n",
- " 139.493195 139.297943 138.958542 138.443222 137.711273\n",
- " 136.706848 135.334824 133.355362 130.728195 129.440887\n",
- " 127.804489 125.859467 123.599182 121.000992 118.008080\n",
- " 114.495964 110.267220 105.082138 99.493088 94.830978\n",
- " 92.688065 92.146156 91.157806 89.568680 87.227791\n",
- " 84.239182 80.712921 73.525879 66.694221 81.238274\n",
- " 86.140091 86.472054 85.921326 84.602219 83.741776\n",
- " 81.980408 80.023216 78.144279 76.455093 75.230385\n",
- " 74.161507 73.056038 71.890694 70.540947 68.688301\n",
- " 65.301872 60.624947 62.106895 62.902412 63.600681\n",
- " 64.273270 64.928535 65.635414 65.709198 65.724312\n",
- " 65.723793 65.703918 65.660118 65.587715 65.481468\n",
- " 65.338943 65.183891 65.021637 64.844360 64.629120\n",
- " 64.468529 64.614120 64.671539 64.729164 64.790298\n",
- " 64.859970 64.941338 65.020409 65.097549 65.175682\n",
- " 65.258141 65.347931 65.447090 65.556396 65.675270\n",
- " 65.802925 65.963280 66.208405 66.405769 66.456940\n",
- " 66.578087 67.166580 68.654251 69.876404 70.233116\n",
- " 70.149330 69.528625 68.525887 67.658722 67.120041\n",
- " 66.746956 66.759346 67.575218 67.880722 67.847504\n",
- " 67.744499 67.606102 67.429443 67.185265 66.956085\n",
- " 67.182869 67.377197 67.588394 67.817932 68.065804\n",
- " 68.332222 68.617439 68.921463 69.243721 69.582748\n",
- " 69.935867 70.299019 70.667557 71.059998 71.369575\n",
- " 71.823906 72.686928 73.679810 74.589104 75.308693\n",
- " 75.250336 75.225739 75.183189 75.122635 75.044617\n",
- " 74.949417 74.837006 74.706993 74.558533 74.390205\n",
- " 74.199821 73.984077 73.738007 73.454002 73.120163\n",
- " 72.717300 72.213463 71.550049 70.719368 70.940941\n",
- " 71.157562 71.357292 71.531250 71.672646 71.774902\n",
- " 71.829453 71.951874 72.030273 71.989624 71.935326\n",
- " 71.870377 71.793495 71.702484 71.594032 71.463211\n",
- " 71.302696 71.101570 70.832054 70.741638 70.665825\n",
- " 70.581970 70.485909 70.373123 70.237366 70.069550\n",
- " 69.855827 69.573952 69.185257 68.504631 67.816704\n",
- " 68.298904 68.105133 67.761566 67.336685 66.774025\n",
- " 65.963074 64.246269 61.172943 61.195400 61.199047\n",
- " 61.230743 61.318966 61.147373 61.337952 62.328110\n",
- " 62.486004 62.930561 63.475815 63.719337 64.840225\n",
- " 65.060402 64.306801 62.704346 69.429459 70.138588\n",
- " 71.290657 72.181503 72.965485 74.009254 74.930939\n",
- " 75.749001 76.485786 77.158600 77.779518 78.356682\n",
- " 78.895699 79.400764 79.875328 80.322479 80.745117\n",
- " 81.145988 81.527702 81.892654 82.243263 82.455025\n",
- " 82.569557 83.161064 84.060623 85.263878 86.837791\n",
- " 88.863663 91.793327 94.519157 99.906357 102.325783\n",
- " 102.809593 103.016609 103.215714 103.412163 103.611671\n",
- " 103.816452 104.026123 104.239204 104.453979 104.669067\n",
- " 104.880966 104.977669 105.056633 105.116447 105.155472\n",
- " 105.171677 105.162498 105.124702 105.054230 104.945915\n",
- " 104.793114 104.587097 104.316063 103.963356 103.504234\n",
- " 102.899193 102.078407 100.899071 98.890060 97.275330\n",
- " 96.301529 96.095833 96.813522 97.769577 98.757202\n",
- " 99.735657 100.702629 101.663879 102.624924 103.588821\n",
- " 104.556168 105.526024 106.497047 107.468361 108.439880\n",
- " 109.412292 110.386772 111.364670 112.347382 113.336357\n",
- " 114.333298 115.340248 116.359711 117.394531 118.447762\n",
- " 119.522346 120.620934 121.745567 122.897644 124.077820\n",
- " 125.286064 126.521790 127.783974 129.071320 130.382385\n",
- " 131.715714 133.069901 134.443619 135.835648 137.244843\n",
- " 138.664734 140.722290 142.807800 144.914551 147.045563\n",
- " 149.203461 151.390411 153.608246 155.858627 158.143036\n",
- " 160.462860 162.819397 165.213959 167.647736 170.121964\n",
- " 172.637787 175.196350 177.798813 180.446335 183.121490\n",
- " 185.577087 188.060272 190.562149 193.086594 195.639679\n",
- " 198.229370 200.863937 203.546555 206.265762 208.970276\n",
- " 211.598328 214.365524 216.947144 219.485672 222.122086\n",
- " 224.642975 227.104034 229.564850 232.020401 234.407608\n",
- " 236.844681 239.281906 241.710358 244.122192 246.510742\n",
- " 248.870346 251.195877 253.482361 255.724503 257.916351\n",
- " 260.050720 262.118805 264.109192 266.006683 267.790009\n",
- " 269.427887 270.870483 271.872620 292.046997 298.970703\n",
- " 303.990173 309.017578 314.055511 319.105804 324.172424\n",
- " 329.260864 334.377533 339.529022 344.721893 349.962311\n",
- " 355.255890 360.607758 366.022644 371.504974 377.059174\n",
- " 382.689941 388.402466 394.202698 400.097412 406.094086\n",
- " 412.200470 418.423767 424.769226 431.237946 437.823456\n",
- " 444.506195 451.241486 457.928101 464.309967 469.653687\n",
- " 470.712097 496.759247 514.624573 519.165588 522.298279\n",
- " 524.485229 526.351257 528.284058 530.367920 537.448914\n",
- " 544.727905 552.151978 559.737061 567.483459 575.373535\n",
- " 583.373718 591.441101 599.532043 607.610718 615.654724\n",
- " 623.657532 631.627380 639.583496 647.551575 655.559265\n",
- " 663.632751 671.796082 680.055298 688.610168\n",
+ " 50.000000 50.072000 49.862000 49.832000 49.851000\n",
+ " 49.861000 49.852000 49.917000 50.041000 48.516000\n",
+ " 48.917000 48.175000 47.367000 49.772000 48.363000\n",
+ " 49.925000 49.959000 49.897000 49.853000 49.849000\n",
+ " 49.877000 49.923000 49.975000 50.025000 50.070000\n",
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+ " 50.283000 50.333000 50.303000 50.798000 51.252000\n",
+ " 51.660000 52.026000 52.321000 52.733000 52.487000\n",
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+ " 53.003000 53.016000 53.412000 51.950000 51.386000\n",
+ " 51.032000 50.777000 50.582000 50.424000 50.290000\n",
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+ " 48.187000 48.022000 48.702000 49.263000 49.725000\n",
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+ " 51.412000 51.797000 55.041000 55.486000 54.708000\n",
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+ " 47.445000 45.159000 45.385000 45.416000 45.314000\n",
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+ " 19.278000 27.899000 28.132000 27.995000 27.533000\n",
+ " 26.628000 25.306000 23.649000 21.819000 33.169000\n",
+ " 36.923000 38.745000 39.616000 39.782000 38.838000\n",
+ " 53.214000 54.070000 54.358000 54.538000 54.636000\n",
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+ " 53.877000 53.152000 50.106000 55.257000 54.460000\n",
+ " 53.965000 53.738000 53.613000 53.520000 53.573000\n",
+ " 43.872000 57.274000 55.903000 56.266000 56.535000\n",
+ " 56.715000 56.797000 56.754000 56.511000 55.864000\n",
+ " 53.821000 48.263000 49.347000 50.086000 50.799000\n",
+ " 51.488000 52.216000 52.318000 52.333000 52.338000\n",
+ " 52.328000 52.297000 52.279000 52.289000 52.316000\n",
+ " 52.348000 52.372000 52.386000 52.392000 52.418000\n",
+ " 51.837000 50.880000 50.443000 49.993000 49.485000\n",
+ " 48.717000 47.592000 46.659000 46.275000 45.661000\n",
+ " 44.834000 46.406000 48.794000 52.480000 57.065000\n",
+ " 62.124000 67.329000 72.431000 77.021000 79.671000\n",
+ " 81.984000 83.867000 85.332000 86.397000 87.083000\n",
+ " 87.412000 87.403000 87.055000 86.329000 85.020000\n",
+ " 83.263000 83.661000 83.901000 84.067000 84.037000\n",
+ " 83.395000 83.562000 79.636000 74.288000 104.497000\n",
+ " 101.577000 103.736000 106.013000 108.337000 110.682000\n",
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+ " 84.239000 80.713000 73.526000 66.694000 81.238000\n",
+ " 86.140000 86.472000 85.921000 84.602000 83.742000\n",
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+ " 64.273000 64.929000 65.635000 65.709000 65.724000\n",
+ " 65.724000 65.704000 65.660000 65.588000 65.481000\n",
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+ " 64.860000 64.941000 65.020000 65.098000 65.176000\n",
+ " 65.258000 65.348000 65.447000 65.556000 65.675000\n",
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+ " 66.578000 67.167000 68.654000 69.876000 70.233000\n",
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+ " 66.747000 66.759000 67.575000 67.881000 67.848000\n",
+ " 67.744000 67.606000 67.429000 67.185000 66.956000\n",
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+ " 68.332000 68.617000 68.921000 69.244000 69.583000\n",
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+ " 72.717000 72.213000 71.550000 70.719000 70.941000\n",
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+ " 71.829000 71.952000 72.030000 71.990000 71.935000\n",
+ " 71.870000 71.793000 71.702000 71.594000 71.463000\n",
+ " 71.303000 71.102000 70.832000 70.742000 70.666000\n",
+ " 70.582000 70.486000 70.373000 70.237000 70.070000\n",
+ " 69.856000 69.574000 69.185000 68.505000 67.817000\n",
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+ " 65.963000 64.246000 61.173000 61.195000 61.199000\n",
+ " 61.231000 61.319000 61.147000 61.338000 62.328000\n",
+ " 62.486000 62.931000 63.476000 63.719000 64.840000\n",
+ " 65.060000 64.307000 62.704000 69.429000 70.139000\n",
+ " 71.291000 72.182000 72.965000 74.009000 74.931000\n",
+ " 75.749000 76.486000 77.159000 77.780000 78.357000\n",
+ " 78.896000 79.401000 79.875000 80.322000 80.745000\n",
+ " 81.146000 81.528000 81.893000 82.243000 82.455000\n",
+ " 82.570000 83.161000 84.061000 85.264000 86.838000\n",
+ " 88.864000 91.793000 94.519000 99.906000 102.326000\n",
+ " 102.810000 103.017000 103.216000 103.412000 103.612000\n",
+ " 103.816000 104.026000 104.239000 104.454000 104.669000\n",
+ " 104.881000 104.978000 105.057000 105.116000 105.155000\n",
+ " 105.172000 105.162000 105.125000 105.054000 104.946000\n",
+ " 104.793000 104.587000 104.316000 103.963000 103.504000\n",
+ " 102.899000 102.078000 100.899000 98.890000 97.275000\n",
+ " 96.302000 96.096000 96.814000 97.770000 98.757000\n",
+ " 99.736000 100.703000 101.664000 102.625000 103.589000\n",
+ " 104.556000 105.526000 106.497000 107.468000 108.440000\n",
+ " 109.412000 110.387000 111.365000 112.347000 113.336000\n",
+ " 114.333000 115.340000 116.360000 117.395000 118.448000\n",
+ " 119.522000 120.621000 121.746000 122.898000 124.078000\n",
+ " 125.286000 126.522000 127.784000 129.071000 130.382000\n",
+ " 131.716000 133.070000 134.444000 135.836000 137.245000\n",
+ " 138.665000 140.722000 142.808000 144.915000 147.046000\n",
+ " 149.203000 151.390000 153.608000 155.859000 158.143000\n",
+ " 160.463000 162.819000 165.214000 167.648000 170.122000\n",
+ " 172.638000 175.196000 177.799000 180.446000 183.121000\n",
+ " 185.577000 188.060000 190.562000 193.087000 195.640000\n",
+ " 198.229000 200.864000 203.547000 206.266000 208.970000\n",
+ " 211.598000 214.366000 216.947000 219.486000 222.122000\n",
+ " 224.643000 227.104000 229.565000 232.020000 234.408000\n",
+ " 236.845000 239.282000 241.710000 244.122000 246.511000\n",
+ " 248.870000 251.196000 253.482000 255.725000 257.916000\n",
+ " 260.051000 262.119000 264.109000 266.007000 267.790000\n",
+ " 269.428000 270.870000 271.873000 292.047000 298.971000\n",
+ " 303.990000 309.018000 314.056000 319.106000 324.172000\n",
+ " 329.261000 334.378000 339.529000 344.722000 349.962000\n",
+ " 355.256000 360.608000 366.023000 371.505000 377.059000\n",
+ " 382.690000 388.402000 394.203000 400.097000 406.094000\n",
+ " 412.200000 418.424000 424.769000 431.238000 437.823000\n",
+ " 444.506000 451.241000 457.928000 464.310000 469.654000\n",
+ " 470.712000 496.759000 514.625000 519.166000 522.298000\n",
+ " 524.485000 526.351000 528.284000 530.368000 537.449000\n",
+ " 544.728000 552.152000 559.737000 567.483000 575.374000\n",
+ " 583.374000 591.441000 599.532000 607.611000 615.655000\n",
+ " 623.658000 631.627000 639.583000 647.552000 655.559000\n",
+ " 663.633000 671.796000 680.055000 688.610000\n",
" FIN\n",
"\n"
]
@@ -1992,10 +2042,10 @@
"execution_count": 12,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:51.905094Z",
- "iopub.status.busy": "2023-12-01T10:46:51.904850Z",
- "iopub.status.idle": "2023-12-01T10:46:51.907636Z",
- "shell.execute_reply": "2023-12-01T10:46:51.907261Z"
+ "iopub.execute_input": "2024-11-29T15:43:55.749204Z",
+ "iopub.status.busy": "2024-11-29T15:43:55.748964Z",
+ "iopub.status.idle": "2024-11-29T15:43:55.752331Z",
+ "shell.execute_reply": "2024-11-29T15:43:55.751682Z"
}
},
"outputs": [],
@@ -2017,10 +2067,10 @@
"execution_count": 13,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:51.909591Z",
- "iopub.status.busy": "2023-12-01T10:46:51.909405Z",
- "iopub.status.idle": "2023-12-01T10:46:52.073086Z",
- "shell.execute_reply": "2023-12-01T10:46:52.072580Z"
+ "iopub.execute_input": "2024-11-29T15:43:55.754649Z",
+ "iopub.status.busy": "2024-11-29T15:43:55.754410Z",
+ "iopub.status.idle": "2024-11-29T15:43:55.925345Z",
+ "shell.execute_reply": "2024-11-29T15:43:55.924754Z"
}
},
"outputs": [
@@ -2070,10 +2120,10 @@
"execution_count": 14,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:52.075130Z",
- "iopub.status.busy": "2023-12-01T10:46:52.074950Z",
- "iopub.status.idle": "2023-12-01T10:46:52.113311Z",
- "shell.execute_reply": "2023-12-01T10:46:52.112904Z"
+ "iopub.execute_input": "2024-11-29T15:43:55.927699Z",
+ "iopub.status.busy": "2024-11-29T15:43:55.927452Z",
+ "iopub.status.idle": "2024-11-29T15:43:55.970084Z",
+ "shell.execute_reply": "2024-11-29T15:43:55.969430Z"
},
"scrolled": true
},
@@ -2082,20 +2132,20 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "~> MascaretFile: /home/d72483/telemac/examples/mascaret/24_Malpasset/mascaret_notebook_ZQ.opt (mode=r)\n",
+ "~> MascaretFile: /home/d60881/telemac/examples/mascaret/24_Malpasset/mascaret_notebook_ZQ.opt (mode=r)\n",
" - Reach #1 (Reach_1) with 774 sections\n",
" 0) Section #1 (Profil_1) at pk -4820.000000\n",
- " 1) Section #2 (Profil_2) at pk -4793.333333\n",
- " 2) Section #3 (Profil_3) at pk -4766.666667\n",
+ " 1) Section #2 (Profil_2) at pk -4793.330000\n",
+ " 2) Section #3 (Profil_3) at pk -4766.670000\n",
" 3) Section #4 (Profil_4) at pk -4740.000000\n",
- " 4) Section #5 (Profil_5) at pk -4713.333333\n",
- " 5) Section #6 (Profil_6) at pk -4686.666667\n",
+ " 4) Section #5 (Profil_5) at pk -4713.330000\n",
+ " 5) Section #6 (Profil_6) at pk -4686.670000\n",
" 6) Section #7 (Profil_7) at pk -4660.000000\n",
- " 7) Section #8 (Profil_8) at pk -4633.333333\n",
- " 8) Section #9 (Profil_9) at pk -4606.666667\n",
+ " 7) Section #8 (Profil_8) at pk -4633.330000\n",
+ " 8) Section #9 (Profil_9) at pk -4606.670000\n",
" 9) Section #10 (Profil_10) at pk -4580.000000\n",
- " 10) Section #11 (Profil_11) at pk -4553.333333\n",
- " 11) Section #12 (Profil_12) at pk -4526.666667\n",
+ " 10) Section #11 (Profil_11) at pk -4553.330000\n",
+ " 11) Section #12 (Profil_12) at pk -4526.670000\n",
" 12) Section #13 (Profil_13) at pk -4500.000000\n",
" 13) Section #14 (Profil_14) at pk -4475.000000\n",
" 14) Section #15 (Profil_15) at pk -4450.000000\n",
@@ -2187,14 +2237,14 @@
" 100) Section #101 (Profil_101) at pk -2284.000000\n",
" 101) Section #102 (Profil_102) at pk -2257.000000\n",
" 102) Section #103 (Profil_103) at pk -2230.000000\n",
- " 103) Section #104 (Profil_104) at pk -2204.444444\n",
- " 104) Section #105 (Profil_105) at pk -2178.888889\n",
- " 105) Section #106 (Profil_106) at pk -2153.333333\n",
- " 106) Section #107 (Profil_107) at pk -2127.777778\n",
- " 107) Section #108 (Profil_108) at pk -2102.222222\n",
- " 108) Section #109 (Profil_109) at pk -2076.666667\n",
- " 109) Section #110 (Profil_110) at pk -2051.111111\n",
- " 110) Section #111 (Profil_111) at pk -2025.555556\n",
+ " 103) Section #104 (Profil_104) at pk -2204.440000\n",
+ " 104) Section #105 (Profil_105) at pk -2178.890000\n",
+ " 105) Section #106 (Profil_106) at pk -2153.330000\n",
+ " 106) Section #107 (Profil_107) at pk -2127.780000\n",
+ " 107) Section #108 (Profil_108) at pk -2102.220000\n",
+ " 108) Section #109 (Profil_109) at pk -2076.670000\n",
+ " 109) Section #110 (Profil_110) at pk -2051.110000\n",
+ " 110) Section #111 (Profil_111) at pk -2025.560000\n",
" 111) Section #112 (Profil_112) at pk -2000.000000\n",
" 112) Section #113 (Profil_113) at pk -1975.000000\n",
" 113) Section #114 (Profil_114) at pk -1950.000000\n",
@@ -2216,23 +2266,23 @@
" 129) Section #130 (Profil_130) at pk -1550.000000\n",
" 130) Section #131 (Profil_131) at pk -1525.000000\n",
" 131) Section #132 (Profil_132) at pk -1500.000000\n",
- " 132) Section #133 (Profil_133) at pk -1473.333333\n",
- " 133) Section #134 (Profil_134) at pk -1446.666667\n",
+ " 132) Section #133 (Profil_133) at pk -1473.330000\n",
+ " 133) Section #134 (Profil_134) at pk -1446.670000\n",
" 134) Section #135 (Profil_135) at pk -1420.000000\n",
- " 135) Section #136 (Profil_136) at pk -1393.333333\n",
- " 136) Section #137 (Profil_137) at pk -1366.666667\n",
+ " 135) Section #136 (Profil_136) at pk -1393.330000\n",
+ " 136) Section #137 (Profil_137) at pk -1366.670000\n",
" 137) Section #138 (Profil_138) at pk -1340.000000\n",
- " 138) Section #139 (Profil_139) at pk -1313.333333\n",
- " 139) Section #140 (Profil_140) at pk -1286.666667\n",
+ " 138) Section #139 (Profil_139) at pk -1313.330000\n",
+ " 139) Section #140 (Profil_140) at pk -1286.670000\n",
" 140) Section #141 (Profil_141) at pk -1260.000000\n",
" 141) Section #142 (Profil_142) at pk -1225.000000\n",
" 142) Section #143 (Profil_143) at pk -1190.000000\n",
- " 143) Section #144 (Profil_144) at pk -1162.857143\n",
- " 144) Section #145 (Profil_145) at pk -1135.714286\n",
- " 145) Section #146 (Profil_146) at pk -1108.571429\n",
- " 146) Section #147 (Profil_147) at pk -1081.428571\n",
- " 147) Section #148 (Profil_148) at pk -1054.285714\n",
- " 148) Section #149 (Profil_149) at pk -1027.142857\n",
+ " 143) Section #144 (Profil_144) at pk -1162.860000\n",
+ " 144) Section #145 (Profil_145) at pk -1135.710000\n",
+ " 145) Section #146 (Profil_146) at pk -1108.570000\n",
+ " 146) Section #147 (Profil_147) at pk -1081.430000\n",
+ " 147) Section #148 (Profil_148) at pk -1054.290000\n",
+ " 148) Section #149 (Profil_149) at pk -1027.140000\n",
" 149) Section #150 (Profil_150) at pk -1000.000000\n",
" 150) Section #151 (Profil_151) at pk -975.000000\n",
" 151) Section #152 (Profil_152) at pk -950.000000\n",
@@ -2274,236 +2324,236 @@
" 187) Section #188 (Profil_188) at pk -50.000000\n",
" 188) Section #189 (Profil_189) at pk -25.000000\n",
" 189) Section #190 (Profil_190) at pk 0.000000\n",
- " 190) Section #191 (Profil_191) at pk 28.442857\n",
- " 191) Section #192 (Profil_192) at pk 56.885714\n",
- " 192) Section #193 (Profil_193) at pk 85.328571\n",
- " 193) Section #194 (Profil_194) at pk 113.771429\n",
- " 194) Section #195 (Profil_195) at pk 142.214286\n",
- " 195) Section #196 (Profil_196) at pk 170.657143\n",
+ " 190) Section #191 (Profil_191) at pk 28.440000\n",
+ " 191) Section #192 (Profil_192) at pk 56.890000\n",
+ " 192) Section #193 (Profil_193) at pk 85.330000\n",
+ " 193) Section #194 (Profil_194) at pk 113.770000\n",
+ " 194) Section #195 (Profil_195) at pk 142.210000\n",
+ " 195) Section #196 (Profil_196) at pk 170.660000\n",
" 196) Section #197 (Profil_197) at pk 199.100000\n",
- " 197) Section #198 (Profil_198) at pk 226.281818\n",
- " 198) Section #199 (Profil_199) at pk 253.463636\n",
- " 199) Section #200 (Profil_200) at pk 280.645455\n",
- " 200) Section #201 (Profil_201) at pk 307.827273\n",
- " 201) Section #202 (Profil_202) at pk 335.009091\n",
- " 202) Section #203 (Profil_203) at pk 362.190909\n",
- " 203) Section #204 (Profil_204) at pk 389.372727\n",
- " 204) Section #205 (Profil_205) at pk 416.554545\n",
- " 205) Section #206 (Profil_206) at pk 443.736364\n",
- " 206) Section #207 (Profil_207) at pk 470.918182\n",
+ " 197) Section #198 (Profil_198) at pk 226.280000\n",
+ " 198) Section #199 (Profil_199) at pk 253.460000\n",
+ " 199) Section #200 (Profil_200) at pk 280.650000\n",
+ " 200) Section #201 (Profil_201) at pk 307.830000\n",
+ " 201) Section #202 (Profil_202) at pk 335.010000\n",
+ " 202) Section #203 (Profil_203) at pk 362.190000\n",
+ " 203) Section #204 (Profil_204) at pk 389.370000\n",
+ " 204) Section #205 (Profil_205) at pk 416.550000\n",
+ " 205) Section #206 (Profil_206) at pk 443.740000\n",
+ " 206) Section #207 (Profil_207) at pk 470.920000\n",
" 207) Section #208 (Profil_208) at pk 498.100000\n",
- " 208) Section #209 (Profil_209) at pk 523.328571\n",
- " 209) Section #210 (Profil_210) at pk 548.557143\n",
- " 210) Section #211 (Profil_211) at pk 573.785714\n",
- " 211) Section #212 (Profil_212) at pk 599.014286\n",
- " 212) Section #213 (Profil_213) at pk 624.242857\n",
- " 213) Section #214 (Profil_214) at pk 649.471429\n",
+ " 208) Section #209 (Profil_209) at pk 523.330000\n",
+ " 209) Section #210 (Profil_210) at pk 548.560000\n",
+ " 210) Section #211 (Profil_211) at pk 573.790000\n",
+ " 211) Section #212 (Profil_212) at pk 599.010000\n",
+ " 212) Section #213 (Profil_213) at pk 624.240000\n",
+ " 213) Section #214 (Profil_214) at pk 649.470000\n",
" 214) Section #215 (Profil_215) at pk 674.700000\n",
- " 215) Section #216 (Profil_216) at pk 699.928571\n",
- " 216) Section #217 (Profil_217) at pk 725.157143\n",
- " 217) Section #218 (Profil_218) at pk 750.385714\n",
- " 218) Section #219 (Profil_219) at pk 775.614286\n",
- " 219) Section #220 (Profil_220) at pk 800.842857\n",
- " 220) Section #221 (Profil_221) at pk 826.071429\n",
+ " 215) Section #216 (Profil_216) at pk 699.930000\n",
+ " 216) Section #217 (Profil_217) at pk 725.160000\n",
+ " 217) Section #218 (Profil_218) at pk 750.390000\n",
+ " 218) Section #219 (Profil_219) at pk 775.610000\n",
+ " 219) Section #220 (Profil_220) at pk 800.840000\n",
+ " 220) Section #221 (Profil_221) at pk 826.070000\n",
" 221) Section #222 (Profil_222) at pk 851.300000\n",
- " 222) Section #223 (Profil_223) at pk 879.307143\n",
- " 223) Section #224 (Profil_224) at pk 907.314286\n",
- " 224) Section #225 (Profil_225) at pk 935.321429\n",
- " 225) Section #226 (Profil_226) at pk 963.328571\n",
- " 226) Section #227 (Profil_227) at pk 991.335714\n",
- " 227) Section #228 (Profil_228) at pk 1019.342857\n",
+ " 222) Section #223 (Profil_223) at pk 879.310000\n",
+ " 223) Section #224 (Profil_224) at pk 907.310000\n",
+ " 224) Section #225 (Profil_225) at pk 935.320000\n",
+ " 225) Section #226 (Profil_226) at pk 963.330000\n",
+ " 226) Section #227 (Profil_227) at pk 991.340000\n",
+ " 227) Section #228 (Profil_228) at pk 1019.340000\n",
" 228) Section #229 (Profil_229) at pk 1047.350000\n",
- " 229) Section #230 (Profil_230) at pk 1073.857143\n",
- " 230) Section #231 (Profil_231) at pk 1100.364286\n",
- " 231) Section #232 (Profil_232) at pk 1126.871429\n",
- " 232) Section #233 (Profil_233) at pk 1153.378571\n",
- " 233) Section #234 (Profil_234) at pk 1179.885714\n",
- " 234) Section #235 (Profil_235) at pk 1206.392857\n",
+ " 229) Section #230 (Profil_230) at pk 1073.860000\n",
+ " 230) Section #231 (Profil_231) at pk 1100.360000\n",
+ " 231) Section #232 (Profil_232) at pk 1126.870000\n",
+ " 232) Section #233 (Profil_233) at pk 1153.380000\n",
+ " 233) Section #234 (Profil_234) at pk 1179.890000\n",
+ " 234) Section #235 (Profil_235) at pk 1206.390000\n",
" 235) Section #236 (Profil_236) at pk 1232.900000\n",
- " 236) Section #237 (Profil_237) at pk 1258.866667\n",
- " 237) Section #238 (Profil_238) at pk 1284.833333\n",
+ " 236) Section #237 (Profil_237) at pk 1258.870000\n",
+ " 237) Section #238 (Profil_238) at pk 1284.830000\n",
" 238) Section #239 (Profil_239) at pk 1310.800000\n",
- " 239) Section #240 (Profil_240) at pk 1336.766667\n",
- " 240) Section #241 (Profil_241) at pk 1362.733333\n",
+ " 239) Section #240 (Profil_240) at pk 1336.770000\n",
+ " 240) Section #241 (Profil_241) at pk 1362.730000\n",
" 241) Section #242 (Profil_242) at pk 1388.700000\n",
- " 242) Section #243 (Profil_243) at pk 1414.666667\n",
- " 243) Section #244 (Profil_244) at pk 1440.633333\n",
+ " 242) Section #243 (Profil_243) at pk 1414.670000\n",
+ " 243) Section #244 (Profil_244) at pk 1440.630000\n",
" 244) Section #245 (Profil_245) at pk 1466.600000\n",
- " 245) Section #246 (Profil_246) at pk 1492.566667\n",
- " 246) Section #247 (Profil_247) at pk 1518.533333\n",
+ " 245) Section #246 (Profil_246) at pk 1492.570000\n",
+ " 246) Section #247 (Profil_247) at pk 1518.530000\n",
" 247) Section #248 (Profil_248) at pk 1544.500000\n",
- " 248) Section #249 (Profil_249) at pk 1570.542105\n",
- " 249) Section #250 (Profil_250) at pk 1596.584211\n",
- " 250) Section #251 (Profil_251) at pk 1622.626316\n",
- " 251) Section #252 (Profil_252) at pk 1648.668421\n",
- " 252) Section #253 (Profil_253) at pk 1674.710526\n",
- " 253) Section #254 (Profil_254) at pk 1700.752632\n",
- " 254) Section #255 (Profil_255) at pk 1726.794737\n",
- " 255) Section #256 (Profil_256) at pk 1752.836842\n",
- " 256) Section #257 (Profil_257) at pk 1778.878947\n",
- " 257) Section #258 (Profil_258) at pk 1804.921053\n",
- " 258) Section #259 (Profil_259) at pk 1830.963158\n",
- " 259) Section #260 (Profil_260) at pk 1857.005263\n",
- " 260) Section #261 (Profil_261) at pk 1883.047368\n",
- " 261) Section #262 (Profil_262) at pk 1909.089474\n",
- " 262) Section #263 (Profil_263) at pk 1935.131579\n",
- " 263) Section #264 (Profil_264) at pk 1961.173684\n",
- " 264) Section #265 (Profil_265) at pk 1987.215789\n",
- " 265) Section #266 (Profil_266) at pk 2013.257895\n",
+ " 248) Section #249 (Profil_249) at pk 1570.540000\n",
+ " 249) Section #250 (Profil_250) at pk 1596.580000\n",
+ " 250) Section #251 (Profil_251) at pk 1622.630000\n",
+ " 251) Section #252 (Profil_252) at pk 1648.670000\n",
+ " 252) Section #253 (Profil_253) at pk 1674.710000\n",
+ " 253) Section #254 (Profil_254) at pk 1700.750000\n",
+ " 254) Section #255 (Profil_255) at pk 1726.790000\n",
+ " 255) Section #256 (Profil_256) at pk 1752.840000\n",
+ " 256) Section #257 (Profil_257) at pk 1778.880000\n",
+ " 257) Section #258 (Profil_258) at pk 1804.920000\n",
+ " 258) Section #259 (Profil_259) at pk 1830.960000\n",
+ " 259) Section #260 (Profil_260) at pk 1857.010000\n",
+ " 260) Section #261 (Profil_261) at pk 1883.050000\n",
+ " 261) Section #262 (Profil_262) at pk 1909.090000\n",
+ " 262) Section #263 (Profil_263) at pk 1935.130000\n",
+ " 263) Section #264 (Profil_264) at pk 1961.170000\n",
+ " 264) Section #265 (Profil_265) at pk 1987.220000\n",
+ " 265) Section #266 (Profil_266) at pk 2013.260000\n",
" 266) Section #267 (Profil_267) at pk 2039.300000\n",
" 267) Section #268 (Profil_268) at pk 2068.840000\n",
" 268) Section #269 (Profil_269) at pk 2098.380000\n",
" 269) Section #270 (Profil_270) at pk 2127.920000\n",
" 270) Section #271 (Profil_271) at pk 2157.460000\n",
" 271) Section #272 (Profil_272) at pk 2187.000000\n",
- " 272) Section #273 (Profil_273) at pk 2212.730769\n",
- " 273) Section #274 (Profil_274) at pk 2238.461538\n",
- " 274) Section #275 (Profil_275) at pk 2264.192308\n",
- " 275) Section #276 (Profil_276) at pk 2289.923077\n",
- " 276) Section #277 (Profil_277) at pk 2315.653846\n",
- " 277) Section #278 (Profil_278) at pk 2341.384615\n",
- " 278) Section #279 (Profil_279) at pk 2367.115385\n",
- " 279) Section #280 (Profil_280) at pk 2392.846154\n",
- " 280) Section #281 (Profil_281) at pk 2418.576923\n",
- " 281) Section #282 (Profil_282) at pk 2444.307692\n",
- " 282) Section #283 (Profil_283) at pk 2470.038462\n",
- " 283) Section #284 (Profil_284) at pk 2495.769231\n",
+ " 272) Section #273 (Profil_273) at pk 2212.730000\n",
+ " 273) Section #274 (Profil_274) at pk 2238.460000\n",
+ " 274) Section #275 (Profil_275) at pk 2264.190000\n",
+ " 275) Section #276 (Profil_276) at pk 2289.920000\n",
+ " 276) Section #277 (Profil_277) at pk 2315.650000\n",
+ " 277) Section #278 (Profil_278) at pk 2341.380000\n",
+ " 278) Section #279 (Profil_279) at pk 2367.120000\n",
+ " 279) Section #280 (Profil_280) at pk 2392.850000\n",
+ " 280) Section #281 (Profil_281) at pk 2418.580000\n",
+ " 281) Section #282 (Profil_282) at pk 2444.310000\n",
+ " 282) Section #283 (Profil_283) at pk 2470.040000\n",
+ " 283) Section #284 (Profil_284) at pk 2495.770000\n",
" 284) Section #285 (Profil_285) at pk 2521.500000\n",
- " 285) Section #286 (Profil_286) at pk 2546.954545\n",
- " 286) Section #287 (Profil_287) at pk 2572.409091\n",
- " 287) Section #288 (Profil_288) at pk 2597.863636\n",
- " 288) Section #289 (Profil_289) at pk 2623.318182\n",
- " 289) Section #290 (Profil_290) at pk 2648.772727\n",
- " 290) Section #291 (Profil_291) at pk 2674.227273\n",
- " 291) Section #292 (Profil_292) at pk 2699.681818\n",
- " 292) Section #293 (Profil_293) at pk 2725.136364\n",
- " 293) Section #294 (Profil_294) at pk 2750.590909\n",
- " 294) Section #295 (Profil_295) at pk 2776.045455\n",
+ " 285) Section #286 (Profil_286) at pk 2546.950000\n",
+ " 286) Section #287 (Profil_287) at pk 2572.410000\n",
+ " 287) Section #288 (Profil_288) at pk 2597.860000\n",
+ " 288) Section #289 (Profil_289) at pk 2623.320000\n",
+ " 289) Section #290 (Profil_290) at pk 2648.770000\n",
+ " 290) Section #291 (Profil_291) at pk 2674.230000\n",
+ " 291) Section #292 (Profil_292) at pk 2699.680000\n",
+ " 292) Section #293 (Profil_293) at pk 2725.140000\n",
+ " 293) Section #294 (Profil_294) at pk 2750.590000\n",
+ " 294) Section #295 (Profil_295) at pk 2776.050000\n",
" 295) Section #296 (Profil_296) at pk 2801.500000\n",
- " 296) Section #297 (Profil_297) at pk 2827.537500\n",
- " 297) Section #298 (Profil_298) at pk 2853.575000\n",
- " 298) Section #299 (Profil_299) at pk 2879.612500\n",
+ " 296) Section #297 (Profil_297) at pk 2827.540000\n",
+ " 297) Section #298 (Profil_298) at pk 2853.570000\n",
+ " 298) Section #299 (Profil_299) at pk 2879.610000\n",
" 299) Section #300 (Profil_300) at pk 2905.650000\n",
- " 300) Section #301 (Profil_301) at pk 2931.687500\n",
- " 301) Section #302 (Profil_302) at pk 2957.725000\n",
- " 302) Section #303 (Profil_303) at pk 2983.762500\n",
+ " 300) Section #301 (Profil_301) at pk 2931.690000\n",
+ " 301) Section #302 (Profil_302) at pk 2957.720000\n",
+ " 302) Section #303 (Profil_303) at pk 2983.760000\n",
" 303) Section #304 (Profil_304) at pk 3009.800000\n",
- " 304) Section #305 (Profil_305) at pk 3035.908333\n",
- " 305) Section #306 (Profil_306) at pk 3062.016667\n",
- " 306) Section #307 (Profil_307) at pk 3088.125000\n",
- " 307) Section #308 (Profil_308) at pk 3114.233333\n",
- " 308) Section #309 (Profil_309) at pk 3140.341667\n",
+ " 304) Section #305 (Profil_305) at pk 3035.910000\n",
+ " 305) Section #306 (Profil_306) at pk 3062.020000\n",
+ " 306) Section #307 (Profil_307) at pk 3088.130000\n",
+ " 307) Section #308 (Profil_308) at pk 3114.230000\n",
+ " 308) Section #309 (Profil_309) at pk 3140.340000\n",
" 309) Section #310 (Profil_310) at pk 3166.450000\n",
- " 310) Section #311 (Profil_311) at pk 3192.558333\n",
- " 311) Section #312 (Profil_312) at pk 3218.666667\n",
- " 312) Section #313 (Profil_313) at pk 3244.775000\n",
- " 313) Section #314 (Profil_314) at pk 3270.883333\n",
- " 314) Section #315 (Profil_315) at pk 3296.991667\n",
+ " 310) Section #311 (Profil_311) at pk 3192.560000\n",
+ " 311) Section #312 (Profil_312) at pk 3218.670000\n",
+ " 312) Section #313 (Profil_313) at pk 3244.780000\n",
+ " 313) Section #314 (Profil_314) at pk 3270.880000\n",
+ " 314) Section #315 (Profil_315) at pk 3296.990000\n",
" 315) Section #316 (Profil_316) at pk 3323.100000\n",
- " 316) Section #317 (Profil_317) at pk 3349.975000\n",
+ " 316) Section #317 (Profil_317) at pk 3349.980000\n",
" 317) Section #318 (Profil_318) at pk 3376.850000\n",
- " 318) Section #319 (Profil_319) at pk 3403.725000\n",
+ " 318) Section #319 (Profil_319) at pk 3403.730000\n",
" 319) Section #320 (Profil_320) at pk 3430.600000\n",
- " 320) Section #321 (Profil_321) at pk 3457.475000\n",
+ " 320) Section #321 (Profil_321) at pk 3457.480000\n",
" 321) Section #322 (Profil_322) at pk 3484.350000\n",
- " 322) Section #323 (Profil_323) at pk 3511.225000\n",
+ " 322) Section #323 (Profil_323) at pk 3511.230000\n",
" 323) Section #324 (Profil_324) at pk 3538.100000\n",
" 324) Section #325 (Profil_325) at pk 3558.800000\n",
- " 325) Section #326 (Profil_326) at pk 3583.976667\n",
- " 326) Section #327 (Profil_327) at pk 3609.153333\n",
+ " 325) Section #326 (Profil_326) at pk 3583.980000\n",
+ " 326) Section #327 (Profil_327) at pk 3609.150000\n",
" 327) Section #328 (Profil_328) at pk 3634.330000\n",
- " 328) Section #329 (Profil_329) at pk 3659.506667\n",
- " 329) Section #330 (Profil_330) at pk 3684.683333\n",
+ " 328) Section #329 (Profil_329) at pk 3659.510000\n",
+ " 329) Section #330 (Profil_330) at pk 3684.680000\n",
" 330) Section #331 (Profil_331) at pk 3709.860000\n",
- " 331) Section #332 (Profil_332) at pk 3735.036667\n",
- " 332) Section #333 (Profil_333) at pk 3760.213333\n",
+ " 331) Section #332 (Profil_332) at pk 3735.040000\n",
+ " 332) Section #333 (Profil_333) at pk 3760.210000\n",
" 333) Section #334 (Profil_334) at pk 3785.390000\n",
- " 334) Section #335 (Profil_335) at pk 3810.566667\n",
- " 335) Section #336 (Profil_336) at pk 3835.743333\n",
+ " 334) Section #335 (Profil_335) at pk 3810.570000\n",
+ " 335) Section #336 (Profil_336) at pk 3835.740000\n",
" 336) Section #337 (Profil_337) at pk 3860.920000\n",
- " 337) Section #338 (Profil_338) at pk 3886.096667\n",
- " 338) Section #339 (Profil_339) at pk 3911.273333\n",
+ " 337) Section #338 (Profil_338) at pk 3886.100000\n",
+ " 338) Section #339 (Profil_339) at pk 3911.270000\n",
" 339) Section #340 (Profil_340) at pk 3936.450000\n",
- " 340) Section #341 (Profil_341) at pk 3961.626667\n",
- " 341) Section #342 (Profil_342) at pk 3986.803333\n",
+ " 340) Section #341 (Profil_341) at pk 3961.630000\n",
+ " 341) Section #342 (Profil_342) at pk 3986.800000\n",
" 342) Section #343 (Profil_343) at pk 4011.980000\n",
- " 343) Section #344 (Profil_344) at pk 4037.156667\n",
- " 344) Section #345 (Profil_345) at pk 4062.333333\n",
+ " 343) Section #344 (Profil_344) at pk 4037.160000\n",
+ " 344) Section #345 (Profil_345) at pk 4062.330000\n",
" 345) Section #346 (Profil_346) at pk 4087.510000\n",
- " 346) Section #347 (Profil_347) at pk 4112.686667\n",
- " 347) Section #348 (Profil_348) at pk 4137.863333\n",
+ " 346) Section #347 (Profil_347) at pk 4112.690000\n",
+ " 347) Section #348 (Profil_348) at pk 4137.860000\n",
" 348) Section #349 (Profil_349) at pk 4163.040000\n",
- " 349) Section #350 (Profil_350) at pk 4188.216667\n",
- " 350) Section #351 (Profil_351) at pk 4213.393333\n",
+ " 349) Section #350 (Profil_350) at pk 4188.220000\n",
+ " 350) Section #351 (Profil_351) at pk 4213.390000\n",
" 351) Section #352 (Profil_352) at pk 4238.570000\n",
- " 352) Section #353 (Profil_353) at pk 4263.746667\n",
- " 353) Section #354 (Profil_354) at pk 4288.923333\n",
+ " 352) Section #353 (Profil_353) at pk 4263.750000\n",
+ " 353) Section #354 (Profil_354) at pk 4288.920000\n",
" 354) Section #355 (Profil_355) at pk 4314.100000\n",
- " 355) Section #356 (Profil_356) at pk 4341.422222\n",
- " 356) Section #357 (Profil_357) at pk 4368.744444\n",
- " 357) Section #358 (Profil_358) at pk 4396.066667\n",
- " 358) Section #359 (Profil_359) at pk 4423.388889\n",
- " 359) Section #360 (Profil_360) at pk 4450.711111\n",
- " 360) Section #361 (Profil_361) at pk 4478.033333\n",
- " 361) Section #362 (Profil_362) at pk 4505.355556\n",
- " 362) Section #363 (Profil_363) at pk 4532.677778\n",
+ " 355) Section #356 (Profil_356) at pk 4341.420000\n",
+ " 356) Section #357 (Profil_357) at pk 4368.740000\n",
+ " 357) Section #358 (Profil_358) at pk 4396.070000\n",
+ " 358) Section #359 (Profil_359) at pk 4423.390000\n",
+ " 359) Section #360 (Profil_360) at pk 4450.710000\n",
+ " 360) Section #361 (Profil_361) at pk 4478.030000\n",
+ " 361) Section #362 (Profil_362) at pk 4505.360000\n",
+ " 362) Section #363 (Profil_363) at pk 4532.680000\n",
" 363) Section #364 (Profil_364) at pk 4560.000000\n",
- " 364) Section #365 (Profil_365) at pk 4586.236842\n",
- " 365) Section #366 (Profil_366) at pk 4612.473684\n",
- " 366) Section #367 (Profil_367) at pk 4638.710526\n",
- " 367) Section #368 (Profil_368) at pk 4664.947368\n",
- " 368) Section #369 (Profil_369) at pk 4691.184211\n",
- " 369) Section #370 (Profil_370) at pk 4717.421053\n",
- " 370) Section #371 (Profil_371) at pk 4743.657895\n",
- " 371) Section #372 (Profil_372) at pk 4769.894737\n",
- " 372) Section #373 (Profil_373) at pk 4796.131579\n",
- " 373) Section #374 (Profil_374) at pk 4822.368421\n",
- " 374) Section #375 (Profil_375) at pk 4848.605263\n",
- " 375) Section #376 (Profil_376) at pk 4874.842105\n",
- " 376) Section #377 (Profil_377) at pk 4901.078947\n",
- " 377) Section #378 (Profil_378) at pk 4927.315789\n",
- " 378) Section #379 (Profil_379) at pk 4953.552632\n",
- " 379) Section #380 (Profil_380) at pk 4979.789474\n",
- " 380) Section #381 (Profil_381) at pk 5006.026316\n",
- " 381) Section #382 (Profil_382) at pk 5032.263158\n",
+ " 364) Section #365 (Profil_365) at pk 4586.240000\n",
+ " 365) Section #366 (Profil_366) at pk 4612.470000\n",
+ " 366) Section #367 (Profil_367) at pk 4638.710000\n",
+ " 367) Section #368 (Profil_368) at pk 4664.950000\n",
+ " 368) Section #369 (Profil_369) at pk 4691.180000\n",
+ " 369) Section #370 (Profil_370) at pk 4717.420000\n",
+ " 370) Section #371 (Profil_371) at pk 4743.660000\n",
+ " 371) Section #372 (Profil_372) at pk 4769.890000\n",
+ " 372) Section #373 (Profil_373) at pk 4796.130000\n",
+ " 373) Section #374 (Profil_374) at pk 4822.370000\n",
+ " 374) Section #375 (Profil_375) at pk 4848.610000\n",
+ " 375) Section #376 (Profil_376) at pk 4874.840000\n",
+ " 376) Section #377 (Profil_377) at pk 4901.080000\n",
+ " 377) Section #378 (Profil_378) at pk 4927.320000\n",
+ " 378) Section #379 (Profil_379) at pk 4953.550000\n",
+ " 379) Section #380 (Profil_380) at pk 4979.790000\n",
+ " 380) Section #381 (Profil_381) at pk 5006.030000\n",
+ " 381) Section #382 (Profil_382) at pk 5032.260000\n",
" 382) Section #383 (Profil_383) at pk 5058.500000\n",
- " 383) Section #384 (Profil_384) at pk 5086.028571\n",
- " 384) Section #385 (Profil_385) at pk 5113.557143\n",
- " 385) Section #386 (Profil_386) at pk 5141.085714\n",
- " 386) Section #387 (Profil_387) at pk 5168.614286\n",
- " 387) Section #388 (Profil_388) at pk 5196.142857\n",
- " 388) Section #389 (Profil_389) at pk 5223.671429\n",
+ " 383) Section #384 (Profil_384) at pk 5086.030000\n",
+ " 384) Section #385 (Profil_385) at pk 5113.560000\n",
+ " 385) Section #386 (Profil_386) at pk 5141.090000\n",
+ " 386) Section #387 (Profil_387) at pk 5168.610000\n",
+ " 387) Section #388 (Profil_388) at pk 5196.140000\n",
+ " 388) Section #389 (Profil_389) at pk 5223.670000\n",
" 389) Section #390 (Profil_390) at pk 5251.200000\n",
- " 390) Section #391 (Profil_391) at pk 5277.183333\n",
- " 391) Section #392 (Profil_392) at pk 5303.166667\n",
+ " 390) Section #391 (Profil_391) at pk 5277.180000\n",
+ " 391) Section #392 (Profil_392) at pk 5303.170000\n",
" 392) Section #393 (Profil_393) at pk 5329.150000\n",
- " 393) Section #394 (Profil_394) at pk 5355.133333\n",
- " 394) Section #395 (Profil_395) at pk 5381.116667\n",
+ " 393) Section #394 (Profil_394) at pk 5355.130000\n",
+ " 394) Section #395 (Profil_395) at pk 5381.120000\n",
" 395) Section #396 (Profil_396) at pk 5407.100000\n",
- " 396) Section #397 (Profil_397) at pk 5433.083333\n",
- " 397) Section #398 (Profil_398) at pk 5459.066667\n",
+ " 396) Section #397 (Profil_397) at pk 5433.080000\n",
+ " 397) Section #398 (Profil_398) at pk 5459.070000\n",
" 398) Section #399 (Profil_399) at pk 5485.050000\n",
- " 399) Section #400 (Profil_400) at pk 5511.033333\n",
- " 400) Section #401 (Profil_401) at pk 5537.016667\n",
+ " 399) Section #400 (Profil_400) at pk 5511.030000\n",
+ " 400) Section #401 (Profil_401) at pk 5537.020000\n",
" 401) Section #402 (Profil_402) at pk 5563.000000\n",
- " 402) Section #403 (Profil_403) at pk 5591.466667\n",
- " 403) Section #404 (Profil_404) at pk 5619.933333\n",
+ " 402) Section #403 (Profil_403) at pk 5591.470000\n",
+ " 403) Section #404 (Profil_404) at pk 5619.930000\n",
" 404) Section #405 (Profil_405) at pk 5648.400000\n",
- " 405) Section #406 (Profil_406) at pk 5676.866667\n",
- " 406) Section #407 (Profil_407) at pk 5705.333333\n",
+ " 405) Section #406 (Profil_406) at pk 5676.870000\n",
+ " 406) Section #407 (Profil_407) at pk 5705.330000\n",
" 407) Section #408 (Profil_408) at pk 5733.800000\n",
- " 408) Section #409 (Profil_409) at pk 5759.161538\n",
- " 409) Section #410 (Profil_410) at pk 5784.523077\n",
- " 410) Section #411 (Profil_411) at pk 5809.884615\n",
- " 411) Section #412 (Profil_412) at pk 5835.246154\n",
- " 412) Section #413 (Profil_413) at pk 5860.607692\n",
- " 413) Section #414 (Profil_414) at pk 5885.969231\n",
- " 414) Section #415 (Profil_415) at pk 5911.330769\n",
- " 415) Section #416 (Profil_416) at pk 5936.692308\n",
- " 416) Section #417 (Profil_417) at pk 5962.053846\n",
- " 417) Section #418 (Profil_418) at pk 5987.415385\n",
- " 418) Section #419 (Profil_419) at pk 6012.776923\n",
- " 419) Section #420 (Profil_420) at pk 6038.138462\n",
+ " 408) Section #409 (Profil_409) at pk 5759.160000\n",
+ " 409) Section #410 (Profil_410) at pk 5784.520000\n",
+ " 410) Section #411 (Profil_411) at pk 5809.880000\n",
+ " 411) Section #412 (Profil_412) at pk 5835.250000\n",
+ " 412) Section #413 (Profil_413) at pk 5860.610000\n",
+ " 413) Section #414 (Profil_414) at pk 5885.970000\n",
+ " 414) Section #415 (Profil_415) at pk 5911.330000\n",
+ " 415) Section #416 (Profil_416) at pk 5936.690000\n",
+ " 416) Section #417 (Profil_417) at pk 5962.050000\n",
+ " 417) Section #418 (Profil_418) at pk 5987.420000\n",
+ " 418) Section #419 (Profil_419) at pk 6012.780000\n",
+ " 419) Section #420 (Profil_420) at pk 6038.140000\n",
" 420) Section #421 (Profil_421) at pk 6063.500000\n",
" 421) Section #422 (Profil_422) at pk 6088.690000\n",
" 422) Section #423 (Profil_423) at pk 6113.880000\n",
@@ -2525,71 +2575,71 @@
" 438) Section #439 (Profil_439) at pk 6516.920000\n",
" 439) Section #440 (Profil_440) at pk 6542.110000\n",
" 440) Section #441 (Profil_441) at pk 6567.300000\n",
- " 441) Section #442 (Profil_442) at pk 6593.089474\n",
- " 442) Section #443 (Profil_443) at pk 6618.878947\n",
- " 443) Section #444 (Profil_444) at pk 6644.668421\n",
- " 444) Section #445 (Profil_445) at pk 6670.457895\n",
- " 445) Section #446 (Profil_446) at pk 6696.247368\n",
- " 446) Section #447 (Profil_447) at pk 6722.036842\n",
- " 447) Section #448 (Profil_448) at pk 6747.826316\n",
- " 448) Section #449 (Profil_449) at pk 6773.615789\n",
- " 449) Section #450 (Profil_450) at pk 6799.405263\n",
- " 450) Section #451 (Profil_451) at pk 6825.194737\n",
- " 451) Section #452 (Profil_452) at pk 6850.984211\n",
- " 452) Section #453 (Profil_453) at pk 6876.773684\n",
- " 453) Section #454 (Profil_454) at pk 6902.563158\n",
- " 454) Section #455 (Profil_455) at pk 6928.352632\n",
- " 455) Section #456 (Profil_456) at pk 6954.142105\n",
- " 456) Section #457 (Profil_457) at pk 6979.931579\n",
- " 457) Section #458 (Profil_458) at pk 7005.721053\n",
- " 458) Section #459 (Profil_459) at pk 7031.510526\n",
+ " 441) Section #442 (Profil_442) at pk 6593.090000\n",
+ " 442) Section #443 (Profil_443) at pk 6618.880000\n",
+ " 443) Section #444 (Profil_444) at pk 6644.670000\n",
+ " 444) Section #445 (Profil_445) at pk 6670.460000\n",
+ " 445) Section #446 (Profil_446) at pk 6696.250000\n",
+ " 446) Section #447 (Profil_447) at pk 6722.040000\n",
+ " 447) Section #448 (Profil_448) at pk 6747.830000\n",
+ " 448) Section #449 (Profil_449) at pk 6773.620000\n",
+ " 449) Section #450 (Profil_450) at pk 6799.410000\n",
+ " 450) Section #451 (Profil_451) at pk 6825.190000\n",
+ " 451) Section #452 (Profil_452) at pk 6850.980000\n",
+ " 452) Section #453 (Profil_453) at pk 6876.770000\n",
+ " 453) Section #454 (Profil_454) at pk 6902.560000\n",
+ " 454) Section #455 (Profil_455) at pk 6928.350000\n",
+ " 455) Section #456 (Profil_456) at pk 6954.140000\n",
+ " 456) Section #457 (Profil_457) at pk 6979.930000\n",
+ " 457) Section #458 (Profil_458) at pk 7005.720000\n",
+ " 458) Section #459 (Profil_459) at pk 7031.510000\n",
" 459) Section #460 (Profil_460) at pk 7057.300000\n",
- " 460) Section #461 (Profil_461) at pk 7082.675000\n",
+ " 460) Section #461 (Profil_461) at pk 7082.670000\n",
" 461) Section #462 (Profil_462) at pk 7108.050000\n",
- " 462) Section #463 (Profil_463) at pk 7133.425000\n",
+ " 462) Section #463 (Profil_463) at pk 7133.420000\n",
" 463) Section #464 (Profil_464) at pk 7158.800000\n",
- " 464) Section #465 (Profil_465) at pk 7184.175000\n",
+ " 464) Section #465 (Profil_465) at pk 7184.170000\n",
" 465) Section #466 (Profil_466) at pk 7209.550000\n",
- " 466) Section #467 (Profil_467) at pk 7234.925000\n",
+ " 466) Section #467 (Profil_467) at pk 7234.920000\n",
" 467) Section #468 (Profil_468) at pk 7260.300000\n",
- " 468) Section #469 (Profil_469) at pk 7285.675000\n",
+ " 468) Section #469 (Profil_469) at pk 7285.670000\n",
" 469) Section #470 (Profil_470) at pk 7311.050000\n",
- " 470) Section #471 (Profil_471) at pk 7336.425000\n",
+ " 470) Section #471 (Profil_471) at pk 7336.420000\n",
" 471) Section #472 (Profil_472) at pk 7361.800000\n",
- " 472) Section #473 (Profil_473) at pk 7387.175000\n",
+ " 472) Section #473 (Profil_473) at pk 7387.170000\n",
" 473) Section #474 (Profil_474) at pk 7412.550000\n",
- " 474) Section #475 (Profil_475) at pk 7437.925000\n",
+ " 474) Section #475 (Profil_475) at pk 7437.920000\n",
" 475) Section #476 (Profil_476) at pk 7463.300000\n",
- " 476) Section #477 (Profil_477) at pk 7488.675000\n",
+ " 476) Section #477 (Profil_477) at pk 7488.670000\n",
" 477) Section #478 (Profil_478) at pk 7514.050000\n",
- " 478) Section #479 (Profil_479) at pk 7539.425000\n",
+ " 478) Section #479 (Profil_479) at pk 7539.420000\n",
" 479) Section #480 (Profil_480) at pk 7564.800000\n",
- " 480) Section #481 (Profil_481) at pk 7590.794737\n",
- " 481) Section #482 (Profil_482) at pk 7616.789474\n",
- " 482) Section #483 (Profil_483) at pk 7642.784211\n",
- " 483) Section #484 (Profil_484) at pk 7668.778947\n",
- " 484) Section #485 (Profil_485) at pk 7694.773684\n",
- " 485) Section #486 (Profil_486) at pk 7720.768421\n",
- " 486) Section #487 (Profil_487) at pk 7746.763158\n",
- " 487) Section #488 (Profil_488) at pk 7772.757895\n",
- " 488) Section #489 (Profil_489) at pk 7798.752632\n",
- " 489) Section #490 (Profil_490) at pk 7824.747368\n",
- " 490) Section #491 (Profil_491) at pk 7850.742105\n",
- " 491) Section #492 (Profil_492) at pk 7876.736842\n",
- " 492) Section #493 (Profil_493) at pk 7902.731579\n",
- " 493) Section #494 (Profil_494) at pk 7928.726316\n",
- " 494) Section #495 (Profil_495) at pk 7954.721053\n",
- " 495) Section #496 (Profil_496) at pk 7980.715789\n",
- " 496) Section #497 (Profil_497) at pk 8006.710526\n",
- " 497) Section #498 (Profil_498) at pk 8032.705263\n",
+ " 480) Section #481 (Profil_481) at pk 7590.790000\n",
+ " 481) Section #482 (Profil_482) at pk 7616.790000\n",
+ " 482) Section #483 (Profil_483) at pk 7642.780000\n",
+ " 483) Section #484 (Profil_484) at pk 7668.780000\n",
+ " 484) Section #485 (Profil_485) at pk 7694.770000\n",
+ " 485) Section #486 (Profil_486) at pk 7720.770000\n",
+ " 486) Section #487 (Profil_487) at pk 7746.760000\n",
+ " 487) Section #488 (Profil_488) at pk 7772.760000\n",
+ " 488) Section #489 (Profil_489) at pk 7798.750000\n",
+ " 489) Section #490 (Profil_490) at pk 7824.750000\n",
+ " 490) Section #491 (Profil_491) at pk 7850.740000\n",
+ " 491) Section #492 (Profil_492) at pk 7876.740000\n",
+ " 492) Section #493 (Profil_493) at pk 7902.730000\n",
+ " 493) Section #494 (Profil_494) at pk 7928.730000\n",
+ " 494) Section #495 (Profil_495) at pk 7954.720000\n",
+ " 495) Section #496 (Profil_496) at pk 7980.720000\n",
+ " 496) Section #497 (Profil_497) at pk 8006.710000\n",
+ " 497) Section #498 (Profil_498) at pk 8032.710000\n",
" 498) Section #499 (Profil_499) at pk 8058.700000\n",
- " 499) Section #500 (Profil_500) at pk 8085.225000\n",
+ " 499) Section #500 (Profil_500) at pk 8085.230000\n",
" 500) Section #501 (Profil_501) at pk 8111.750000\n",
- " 501) Section #502 (Profil_502) at pk 8138.275000\n",
+ " 501) Section #502 (Profil_502) at pk 8138.270000\n",
" 502) Section #503 (Profil_503) at pk 8164.800000\n",
- " 503) Section #504 (Profil_504) at pk 8191.325000\n",
+ " 503) Section #504 (Profil_504) at pk 8191.320000\n",
" 504) Section #505 (Profil_505) at pk 8217.850000\n",
- " 505) Section #506 (Profil_506) at pk 8244.375000\n",
+ " 505) Section #506 (Profil_506) at pk 8244.370000\n",
" 506) Section #507 (Profil_507) at pk 8270.900000\n",
" 507) Section #508 (Profil_508) at pk 8295.900000\n",
" 508) Section #509 (Profil_509) at pk 8320.900000\n",
@@ -2622,241 +2672,241 @@
" 535) Section #536 (Profil_536) at pk 9004.720000\n",
" 536) Section #537 (Profil_537) at pk 9030.210000\n",
" 537) Section #538 (Profil_538) at pk 9055.700000\n",
- " 538) Section #539 (Profil_539) at pk 9081.442105\n",
- " 539) Section #540 (Profil_540) at pk 9107.184211\n",
- " 540) Section #541 (Profil_541) at pk 9132.926316\n",
- " 541) Section #542 (Profil_542) at pk 9158.668421\n",
- " 542) Section #543 (Profil_543) at pk 9184.410526\n",
- " 543) Section #544 (Profil_544) at pk 9210.152632\n",
- " 544) Section #545 (Profil_545) at pk 9235.894737\n",
- " 545) Section #546 (Profil_546) at pk 9261.636842\n",
- " 546) Section #547 (Profil_547) at pk 9287.378947\n",
- " 547) Section #548 (Profil_548) at pk 9313.121053\n",
- " 548) Section #549 (Profil_549) at pk 9338.863158\n",
- " 549) Section #550 (Profil_550) at pk 9364.605263\n",
- " 550) Section #551 (Profil_551) at pk 9390.347368\n",
- " 551) Section #552 (Profil_552) at pk 9416.089474\n",
- " 552) Section #553 (Profil_553) at pk 9441.831579\n",
- " 553) Section #554 (Profil_554) at pk 9467.573684\n",
- " 554) Section #555 (Profil_555) at pk 9493.315789\n",
- " 555) Section #556 (Profil_556) at pk 9519.057895\n",
+ " 538) Section #539 (Profil_539) at pk 9081.440000\n",
+ " 539) Section #540 (Profil_540) at pk 9107.180000\n",
+ " 540) Section #541 (Profil_541) at pk 9132.930000\n",
+ " 541) Section #542 (Profil_542) at pk 9158.670000\n",
+ " 542) Section #543 (Profil_543) at pk 9184.410000\n",
+ " 543) Section #544 (Profil_544) at pk 9210.150000\n",
+ " 544) Section #545 (Profil_545) at pk 9235.890000\n",
+ " 545) Section #546 (Profil_546) at pk 9261.640000\n",
+ " 546) Section #547 (Profil_547) at pk 9287.380000\n",
+ " 547) Section #548 (Profil_548) at pk 9313.120000\n",
+ " 548) Section #549 (Profil_549) at pk 9338.860000\n",
+ " 549) Section #550 (Profil_550) at pk 9364.610000\n",
+ " 550) Section #551 (Profil_551) at pk 9390.350000\n",
+ " 551) Section #552 (Profil_552) at pk 9416.090000\n",
+ " 552) Section #553 (Profil_553) at pk 9441.830000\n",
+ " 553) Section #554 (Profil_554) at pk 9467.570000\n",
+ " 554) Section #555 (Profil_555) at pk 9493.320000\n",
+ " 555) Section #556 (Profil_556) at pk 9519.060000\n",
" 556) Section #557 (Profil_557) at pk 9544.800000\n",
- " 557) Section #558 (Profil_558) at pk 9570.289474\n",
- " 558) Section #559 (Profil_559) at pk 9595.778947\n",
- " 559) Section #560 (Profil_560) at pk 9621.268421\n",
- " 560) Section #561 (Profil_561) at pk 9646.757895\n",
- " 561) Section #562 (Profil_562) at pk 9672.247368\n",
- " 562) Section #563 (Profil_563) at pk 9697.736842\n",
- " 563) Section #564 (Profil_564) at pk 9723.226316\n",
- " 564) Section #565 (Profil_565) at pk 9748.715789\n",
- " 565) Section #566 (Profil_566) at pk 9774.205263\n",
- " 566) Section #567 (Profil_567) at pk 9799.694737\n",
- " 567) Section #568 (Profil_568) at pk 9825.184211\n",
- " 568) Section #569 (Profil_569) at pk 9850.673684\n",
- " 569) Section #570 (Profil_570) at pk 9876.163158\n",
- " 570) Section #571 (Profil_571) at pk 9901.652632\n",
- " 571) Section #572 (Profil_572) at pk 9927.142105\n",
- " 572) Section #573 (Profil_573) at pk 9952.631579\n",
- " 573) Section #574 (Profil_574) at pk 9978.121053\n",
- " 574) Section #575 (Profil_575) at pk 10003.610526\n",
+ " 557) Section #558 (Profil_558) at pk 9570.290000\n",
+ " 558) Section #559 (Profil_559) at pk 9595.780000\n",
+ " 559) Section #560 (Profil_560) at pk 9621.270000\n",
+ " 560) Section #561 (Profil_561) at pk 9646.760000\n",
+ " 561) Section #562 (Profil_562) at pk 9672.250000\n",
+ " 562) Section #563 (Profil_563) at pk 9697.740000\n",
+ " 563) Section #564 (Profil_564) at pk 9723.230000\n",
+ " 564) Section #565 (Profil_565) at pk 9748.720000\n",
+ " 565) Section #566 (Profil_566) at pk 9774.210000\n",
+ " 566) Section #567 (Profil_567) at pk 9799.690000\n",
+ " 567) Section #568 (Profil_568) at pk 9825.180000\n",
+ " 568) Section #569 (Profil_569) at pk 9850.670000\n",
+ " 569) Section #570 (Profil_570) at pk 9876.160000\n",
+ " 570) Section #571 (Profil_571) at pk 9901.650000\n",
+ " 571) Section #572 (Profil_572) at pk 9927.140000\n",
+ " 572) Section #573 (Profil_573) at pk 9952.630000\n",
+ " 573) Section #574 (Profil_574) at pk 9978.120000\n",
+ " 574) Section #575 (Profil_575) at pk 10003.610000\n",
" 575) Section #576 (Profil_576) at pk 10029.100000\n",
- " 576) Section #577 (Profil_577) at pk 10054.612500\n",
- " 577) Section #578 (Profil_578) at pk 10080.125000\n",
- " 578) Section #579 (Profil_579) at pk 10105.637500\n",
+ " 576) Section #577 (Profil_577) at pk 10054.610000\n",
+ " 577) Section #578 (Profil_578) at pk 10080.130000\n",
+ " 578) Section #579 (Profil_579) at pk 10105.640000\n",
" 579) Section #580 (Profil_580) at pk 10131.150000\n",
- " 580) Section #581 (Profil_581) at pk 10156.662500\n",
- " 581) Section #582 (Profil_582) at pk 10182.175000\n",
- " 582) Section #583 (Profil_583) at pk 10207.687500\n",
+ " 580) Section #581 (Profil_581) at pk 10156.660000\n",
+ " 581) Section #582 (Profil_582) at pk 10182.180000\n",
+ " 582) Section #583 (Profil_583) at pk 10207.690000\n",
" 583) Section #584 (Profil_584) at pk 10233.200000\n",
- " 584) Section #585 (Profil_585) at pk 10258.712500\n",
- " 585) Section #586 (Profil_586) at pk 10284.225000\n",
- " 586) Section #587 (Profil_587) at pk 10309.737500\n",
+ " 584) Section #585 (Profil_585) at pk 10258.710000\n",
+ " 585) Section #586 (Profil_586) at pk 10284.230000\n",
+ " 586) Section #587 (Profil_587) at pk 10309.740000\n",
" 587) Section #588 (Profil_588) at pk 10335.250000\n",
- " 588) Section #589 (Profil_589) at pk 10360.762500\n",
- " 589) Section #590 (Profil_590) at pk 10386.275000\n",
- " 590) Section #591 (Profil_591) at pk 10411.787500\n",
+ " 588) Section #589 (Profil_589) at pk 10360.760000\n",
+ " 589) Section #590 (Profil_590) at pk 10386.280000\n",
+ " 590) Section #591 (Profil_591) at pk 10411.790000\n",
" 591) Section #592 (Profil_592) at pk 10437.300000\n",
- " 592) Section #593 (Profil_593) at pk 10462.812500\n",
- " 593) Section #594 (Profil_594) at pk 10488.325000\n",
- " 594) Section #595 (Profil_595) at pk 10513.837500\n",
+ " 592) Section #593 (Profil_593) at pk 10462.810000\n",
+ " 593) Section #594 (Profil_594) at pk 10488.330000\n",
+ " 594) Section #595 (Profil_595) at pk 10513.840000\n",
" 595) Section #596 (Profil_596) at pk 10539.350000\n",
- " 596) Section #597 (Profil_597) at pk 10564.578947\n",
- " 597) Section #598 (Profil_598) at pk 10589.807895\n",
- " 598) Section #599 (Profil_599) at pk 10615.036842\n",
- " 599) Section #600 (Profil_600) at pk 10640.265789\n",
- " 600) Section #601 (Profil_601) at pk 10665.494737\n",
- " 601) Section #602 (Profil_602) at pk 10690.723684\n",
- " 602) Section #603 (Profil_603) at pk 10715.952632\n",
- " 603) Section #604 (Profil_604) at pk 10741.181579\n",
- " 604) Section #605 (Profil_605) at pk 10766.410526\n",
- " 605) Section #606 (Profil_606) at pk 10791.639474\n",
- " 606) Section #607 (Profil_607) at pk 10816.868421\n",
- " 607) Section #608 (Profil_608) at pk 10842.097368\n",
- " 608) Section #609 (Profil_609) at pk 10867.326316\n",
- " 609) Section #610 (Profil_610) at pk 10892.555263\n",
- " 610) Section #611 (Profil_611) at pk 10917.784211\n",
- " 611) Section #612 (Profil_612) at pk 10943.013158\n",
- " 612) Section #613 (Profil_613) at pk 10968.242105\n",
- " 613) Section #614 (Profil_614) at pk 10993.471053\n",
+ " 596) Section #597 (Profil_597) at pk 10564.580000\n",
+ " 597) Section #598 (Profil_598) at pk 10589.810000\n",
+ " 598) Section #599 (Profil_599) at pk 10615.040000\n",
+ " 599) Section #600 (Profil_600) at pk 10640.270000\n",
+ " 600) Section #601 (Profil_601) at pk 10665.490000\n",
+ " 601) Section #602 (Profil_602) at pk 10690.720000\n",
+ " 602) Section #603 (Profil_603) at pk 10715.950000\n",
+ " 603) Section #604 (Profil_604) at pk 10741.180000\n",
+ " 604) Section #605 (Profil_605) at pk 10766.410000\n",
+ " 605) Section #606 (Profil_606) at pk 10791.640000\n",
+ " 606) Section #607 (Profil_607) at pk 10816.870000\n",
+ " 607) Section #608 (Profil_608) at pk 10842.100000\n",
+ " 608) Section #609 (Profil_609) at pk 10867.330000\n",
+ " 609) Section #610 (Profil_610) at pk 10892.560000\n",
+ " 610) Section #611 (Profil_611) at pk 10917.780000\n",
+ " 611) Section #612 (Profil_612) at pk 10943.010000\n",
+ " 612) Section #613 (Profil_613) at pk 10968.240000\n",
+ " 613) Section #614 (Profil_614) at pk 10993.470000\n",
" 614) Section #615 (Profil_615) at pk 11018.700000\n",
- " 615) Section #616 (Profil_616) at pk 11043.829268\n",
- " 616) Section #617 (Profil_617) at pk 11068.958537\n",
- " 617) Section #618 (Profil_618) at pk 11094.087805\n",
- " 618) Section #619 (Profil_619) at pk 11119.217073\n",
- " 619) Section #620 (Profil_620) at pk 11144.346341\n",
- " 620) Section #621 (Profil_621) at pk 11169.475610\n",
- " 621) Section #622 (Profil_622) at pk 11194.604878\n",
- " 622) Section #623 (Profil_623) at pk 11219.734146\n",
- " 623) Section #624 (Profil_624) at pk 11244.863415\n",
- " 624) Section #625 (Profil_625) at pk 11269.992683\n",
- " 625) Section #626 (Profil_626) at pk 11295.121951\n",
- " 626) Section #627 (Profil_627) at pk 11320.251220\n",
- " 627) Section #628 (Profil_628) at pk 11345.380488\n",
- " 628) Section #629 (Profil_629) at pk 11370.509756\n",
- " 629) Section #630 (Profil_630) at pk 11395.639024\n",
- " 630) Section #631 (Profil_631) at pk 11420.768293\n",
- " 631) Section #632 (Profil_632) at pk 11445.897561\n",
- " 632) Section #633 (Profil_633) at pk 11471.026829\n",
- " 633) Section #634 (Profil_634) at pk 11496.156098\n",
- " 634) Section #635 (Profil_635) at pk 11521.285366\n",
- " 635) Section #636 (Profil_636) at pk 11546.414634\n",
- " 636) Section #637 (Profil_637) at pk 11571.543902\n",
- " 637) Section #638 (Profil_638) at pk 11596.673171\n",
- " 638) Section #639 (Profil_639) at pk 11621.802439\n",
- " 639) Section #640 (Profil_640) at pk 11646.931707\n",
- " 640) Section #641 (Profil_641) at pk 11672.060976\n",
- " 641) Section #642 (Profil_642) at pk 11697.190244\n",
- " 642) Section #643 (Profil_643) at pk 11722.319512\n",
- " 643) Section #644 (Profil_644) at pk 11747.448780\n",
- " 644) Section #645 (Profil_645) at pk 11772.578049\n",
- " 645) Section #646 (Profil_646) at pk 11797.707317\n",
- " 646) Section #647 (Profil_647) at pk 11822.836585\n",
- " 647) Section #648 (Profil_648) at pk 11847.965854\n",
- " 648) Section #649 (Profil_649) at pk 11873.095122\n",
- " 649) Section #650 (Profil_650) at pk 11898.224390\n",
- " 650) Section #651 (Profil_651) at pk 11923.353659\n",
- " 651) Section #652 (Profil_652) at pk 11948.482927\n",
- " 652) Section #653 (Profil_653) at pk 11973.612195\n",
- " 653) Section #654 (Profil_654) at pk 11998.741463\n",
- " 654) Section #655 (Profil_655) at pk 12023.870732\n",
+ " 615) Section #616 (Profil_616) at pk 11043.830000\n",
+ " 616) Section #617 (Profil_617) at pk 11068.960000\n",
+ " 617) Section #618 (Profil_618) at pk 11094.090000\n",
+ " 618) Section #619 (Profil_619) at pk 11119.220000\n",
+ " 619) Section #620 (Profil_620) at pk 11144.350000\n",
+ " 620) Section #621 (Profil_621) at pk 11169.480000\n",
+ " 621) Section #622 (Profil_622) at pk 11194.600000\n",
+ " 622) Section #623 (Profil_623) at pk 11219.730000\n",
+ " 623) Section #624 (Profil_624) at pk 11244.860000\n",
+ " 624) Section #625 (Profil_625) at pk 11269.990000\n",
+ " 625) Section #626 (Profil_626) at pk 11295.120000\n",
+ " 626) Section #627 (Profil_627) at pk 11320.250000\n",
+ " 627) Section #628 (Profil_628) at pk 11345.380000\n",
+ " 628) Section #629 (Profil_629) at pk 11370.510000\n",
+ " 629) Section #630 (Profil_630) at pk 11395.640000\n",
+ " 630) Section #631 (Profil_631) at pk 11420.770000\n",
+ " 631) Section #632 (Profil_632) at pk 11445.900000\n",
+ " 632) Section #633 (Profil_633) at pk 11471.030000\n",
+ " 633) Section #634 (Profil_634) at pk 11496.160000\n",
+ " 634) Section #635 (Profil_635) at pk 11521.290000\n",
+ " 635) Section #636 (Profil_636) at pk 11546.410000\n",
+ " 636) Section #637 (Profil_637) at pk 11571.540000\n",
+ " 637) Section #638 (Profil_638) at pk 11596.670000\n",
+ " 638) Section #639 (Profil_639) at pk 11621.800000\n",
+ " 639) Section #640 (Profil_640) at pk 11646.930000\n",
+ " 640) Section #641 (Profil_641) at pk 11672.060000\n",
+ " 641) Section #642 (Profil_642) at pk 11697.190000\n",
+ " 642) Section #643 (Profil_643) at pk 11722.320000\n",
+ " 643) Section #644 (Profil_644) at pk 11747.450000\n",
+ " 644) Section #645 (Profil_645) at pk 11772.580000\n",
+ " 645) Section #646 (Profil_646) at pk 11797.710000\n",
+ " 646) Section #647 (Profil_647) at pk 11822.840000\n",
+ " 647) Section #648 (Profil_648) at pk 11847.970000\n",
+ " 648) Section #649 (Profil_649) at pk 11873.100000\n",
+ " 649) Section #650 (Profil_650) at pk 11898.220000\n",
+ " 650) Section #651 (Profil_651) at pk 11923.350000\n",
+ " 651) Section #652 (Profil_652) at pk 11948.480000\n",
+ " 652) Section #653 (Profil_653) at pk 11973.610000\n",
+ " 653) Section #654 (Profil_654) at pk 11998.740000\n",
+ " 654) Section #655 (Profil_655) at pk 12023.870000\n",
" 655) Section #656 (Profil_656) at pk 12049.000000\n",
- " 656) Section #657 (Profil_657) at pk 12074.378947\n",
- " 657) Section #658 (Profil_658) at pk 12099.757895\n",
- " 658) Section #659 (Profil_659) at pk 12125.136842\n",
- " 659) Section #660 (Profil_660) at pk 12150.515789\n",
- " 660) Section #661 (Profil_661) at pk 12175.894737\n",
- " 661) Section #662 (Profil_662) at pk 12201.273684\n",
- " 662) Section #663 (Profil_663) at pk 12226.652632\n",
- " 663) Section #664 (Profil_664) at pk 12252.031579\n",
- " 664) Section #665 (Profil_665) at pk 12277.410526\n",
- " 665) Section #666 (Profil_666) at pk 12302.789474\n",
- " 666) Section #667 (Profil_667) at pk 12328.168421\n",
- " 667) Section #668 (Profil_668) at pk 12353.547368\n",
- " 668) Section #669 (Profil_669) at pk 12378.926316\n",
- " 669) Section #670 (Profil_670) at pk 12404.305263\n",
- " 670) Section #671 (Profil_671) at pk 12429.684211\n",
- " 671) Section #672 (Profil_672) at pk 12455.063158\n",
- " 672) Section #673 (Profil_673) at pk 12480.442105\n",
- " 673) Section #674 (Profil_674) at pk 12505.821053\n",
+ " 656) Section #657 (Profil_657) at pk 12074.380000\n",
+ " 657) Section #658 (Profil_658) at pk 12099.760000\n",
+ " 658) Section #659 (Profil_659) at pk 12125.140000\n",
+ " 659) Section #660 (Profil_660) at pk 12150.520000\n",
+ " 660) Section #661 (Profil_661) at pk 12175.890000\n",
+ " 661) Section #662 (Profil_662) at pk 12201.270000\n",
+ " 662) Section #663 (Profil_663) at pk 12226.650000\n",
+ " 663) Section #664 (Profil_664) at pk 12252.030000\n",
+ " 664) Section #665 (Profil_665) at pk 12277.410000\n",
+ " 665) Section #666 (Profil_666) at pk 12302.790000\n",
+ " 666) Section #667 (Profil_667) at pk 12328.170000\n",
+ " 667) Section #668 (Profil_668) at pk 12353.550000\n",
+ " 668) Section #669 (Profil_669) at pk 12378.930000\n",
+ " 669) Section #670 (Profil_670) at pk 12404.310000\n",
+ " 670) Section #671 (Profil_671) at pk 12429.680000\n",
+ " 671) Section #672 (Profil_672) at pk 12455.060000\n",
+ " 672) Section #673 (Profil_673) at pk 12480.440000\n",
+ " 673) Section #674 (Profil_674) at pk 12505.820000\n",
" 674) Section #675 (Profil_675) at pk 12531.200000\n",
- " 675) Section #676 (Profil_676) at pk 12556.447368\n",
- " 676) Section #677 (Profil_677) at pk 12581.694737\n",
- " 677) Section #678 (Profil_678) at pk 12606.942105\n",
- " 678) Section #679 (Profil_679) at pk 12632.189474\n",
- " 679) Section #680 (Profil_680) at pk 12657.436842\n",
- " 680) Section #681 (Profil_681) at pk 12682.684211\n",
- " 681) Section #682 (Profil_682) at pk 12707.931579\n",
- " 682) Section #683 (Profil_683) at pk 12733.178947\n",
- " 683) Section #684 (Profil_684) at pk 12758.426316\n",
- " 684) Section #685 (Profil_685) at pk 12783.673684\n",
- " 685) Section #686 (Profil_686) at pk 12808.921053\n",
- " 686) Section #687 (Profil_687) at pk 12834.168421\n",
- " 687) Section #688 (Profil_688) at pk 12859.415789\n",
- " 688) Section #689 (Profil_689) at pk 12884.663158\n",
- " 689) Section #690 (Profil_690) at pk 12909.910526\n",
- " 690) Section #691 (Profil_691) at pk 12935.157895\n",
- " 691) Section #692 (Profil_692) at pk 12960.405263\n",
- " 692) Section #693 (Profil_693) at pk 12985.652632\n",
+ " 675) Section #676 (Profil_676) at pk 12556.450000\n",
+ " 676) Section #677 (Profil_677) at pk 12581.690000\n",
+ " 677) Section #678 (Profil_678) at pk 12606.940000\n",
+ " 678) Section #679 (Profil_679) at pk 12632.190000\n",
+ " 679) Section #680 (Profil_680) at pk 12657.440000\n",
+ " 680) Section #681 (Profil_681) at pk 12682.680000\n",
+ " 681) Section #682 (Profil_682) at pk 12707.930000\n",
+ " 682) Section #683 (Profil_683) at pk 12733.180000\n",
+ " 683) Section #684 (Profil_684) at pk 12758.430000\n",
+ " 684) Section #685 (Profil_685) at pk 12783.670000\n",
+ " 685) Section #686 (Profil_686) at pk 12808.920000\n",
+ " 686) Section #687 (Profil_687) at pk 12834.170000\n",
+ " 687) Section #688 (Profil_688) at pk 12859.420000\n",
+ " 688) Section #689 (Profil_689) at pk 12884.660000\n",
+ " 689) Section #690 (Profil_690) at pk 12909.910000\n",
+ " 690) Section #691 (Profil_691) at pk 12935.160000\n",
+ " 691) Section #692 (Profil_692) at pk 12960.410000\n",
+ " 692) Section #693 (Profil_693) at pk 12985.650000\n",
" 693) Section #694 (Profil_694) at pk 13010.900000\n",
- " 694) Section #695 (Profil_695) at pk 13036.357895\n",
- " 695) Section #696 (Profil_696) at pk 13061.815789\n",
- " 696) Section #697 (Profil_697) at pk 13087.273684\n",
- " 697) Section #698 (Profil_698) at pk 13112.731579\n",
- " 698) Section #699 (Profil_699) at pk 13138.189474\n",
- " 699) Section #700 (Profil_700) at pk 13163.647368\n",
- " 700) Section #701 (Profil_701) at pk 13189.105263\n",
- " 701) Section #702 (Profil_702) at pk 13214.563158\n",
- " 702) Section #703 (Profil_703) at pk 13240.021053\n",
- " 703) Section #704 (Profil_704) at pk 13265.478947\n",
- " 704) Section #705 (Profil_705) at pk 13290.936842\n",
- " 705) Section #706 (Profil_706) at pk 13316.394737\n",
- " 706) Section #707 (Profil_707) at pk 13341.852632\n",
- " 707) Section #708 (Profil_708) at pk 13367.310526\n",
- " 708) Section #709 (Profil_709) at pk 13392.768421\n",
- " 709) Section #710 (Profil_710) at pk 13418.226316\n",
- " 710) Section #711 (Profil_711) at pk 13443.684211\n",
- " 711) Section #712 (Profil_712) at pk 13469.142105\n",
+ " 694) Section #695 (Profil_695) at pk 13036.360000\n",
+ " 695) Section #696 (Profil_696) at pk 13061.820000\n",
+ " 696) Section #697 (Profil_697) at pk 13087.270000\n",
+ " 697) Section #698 (Profil_698) at pk 13112.730000\n",
+ " 698) Section #699 (Profil_699) at pk 13138.190000\n",
+ " 699) Section #700 (Profil_700) at pk 13163.650000\n",
+ " 700) Section #701 (Profil_701) at pk 13189.110000\n",
+ " 701) Section #702 (Profil_702) at pk 13214.560000\n",
+ " 702) Section #703 (Profil_703) at pk 13240.020000\n",
+ " 703) Section #704 (Profil_704) at pk 13265.480000\n",
+ " 704) Section #705 (Profil_705) at pk 13290.940000\n",
+ " 705) Section #706 (Profil_706) at pk 13316.390000\n",
+ " 706) Section #707 (Profil_707) at pk 13341.850000\n",
+ " 707) Section #708 (Profil_708) at pk 13367.310000\n",
+ " 708) Section #709 (Profil_709) at pk 13392.770000\n",
+ " 709) Section #710 (Profil_710) at pk 13418.230000\n",
+ " 710) Section #711 (Profil_711) at pk 13443.680000\n",
+ " 711) Section #712 (Profil_712) at pk 13469.140000\n",
" 712) Section #713 (Profil_713) at pk 13494.600000\n",
" 713) Section #714 (Profil_714) at pk 13533.900000\n",
- " 714) Section #715 (Profil_715) at pk 13559.485000\n",
+ " 714) Section #715 (Profil_715) at pk 13559.490000\n",
" 715) Section #716 (Profil_716) at pk 13585.070000\n",
- " 716) Section #717 (Profil_717) at pk 13610.655000\n",
+ " 716) Section #717 (Profil_717) at pk 13610.650000\n",
" 717) Section #718 (Profil_718) at pk 13636.240000\n",
- " 718) Section #719 (Profil_719) at pk 13661.825000\n",
+ " 718) Section #719 (Profil_719) at pk 13661.820000\n",
" 719) Section #720 (Profil_720) at pk 13687.410000\n",
- " 720) Section #721 (Profil_721) at pk 13712.995000\n",
+ " 720) Section #721 (Profil_721) at pk 13712.990000\n",
" 721) Section #722 (Profil_722) at pk 13738.580000\n",
- " 722) Section #723 (Profil_723) at pk 13764.165000\n",
+ " 722) Section #723 (Profil_723) at pk 13764.160000\n",
" 723) Section #724 (Profil_724) at pk 13789.750000\n",
- " 724) Section #725 (Profil_725) at pk 13815.335000\n",
+ " 724) Section #725 (Profil_725) at pk 13815.330000\n",
" 725) Section #726 (Profil_726) at pk 13840.920000\n",
- " 726) Section #727 (Profil_727) at pk 13866.505000\n",
+ " 726) Section #727 (Profil_727) at pk 13866.500000\n",
" 727) Section #728 (Profil_728) at pk 13892.090000\n",
- " 728) Section #729 (Profil_729) at pk 13917.675000\n",
+ " 728) Section #729 (Profil_729) at pk 13917.670000\n",
" 729) Section #730 (Profil_730) at pk 13943.260000\n",
- " 730) Section #731 (Profil_731) at pk 13968.845000\n",
+ " 730) Section #731 (Profil_731) at pk 13968.840000\n",
" 731) Section #732 (Profil_732) at pk 13994.430000\n",
- " 732) Section #733 (Profil_733) at pk 14020.015000\n",
+ " 732) Section #733 (Profil_733) at pk 14020.010000\n",
" 733) Section #734 (Profil_734) at pk 14045.600000\n",
- " 734) Section #735 (Profil_735) at pk 14071.185000\n",
+ " 734) Section #735 (Profil_735) at pk 14071.180000\n",
" 735) Section #736 (Profil_736) at pk 14096.770000\n",
- " 736) Section #737 (Profil_737) at pk 14122.355000\n",
+ " 736) Section #737 (Profil_737) at pk 14122.350000\n",
" 737) Section #738 (Profil_738) at pk 14147.940000\n",
- " 738) Section #739 (Profil_739) at pk 14173.525000\n",
+ " 738) Section #739 (Profil_739) at pk 14173.520000\n",
" 739) Section #740 (Profil_740) at pk 14199.110000\n",
- " 740) Section #741 (Profil_741) at pk 14224.695000\n",
+ " 740) Section #741 (Profil_741) at pk 14224.690000\n",
" 741) Section #742 (Profil_742) at pk 14250.280000\n",
- " 742) Section #743 (Profil_743) at pk 14275.865000\n",
+ " 742) Section #743 (Profil_743) at pk 14275.860000\n",
" 743) Section #744 (Profil_744) at pk 14301.450000\n",
- " 744) Section #745 (Profil_745) at pk 14327.035000\n",
+ " 744) Section #745 (Profil_745) at pk 14327.030000\n",
" 745) Section #746 (Profil_746) at pk 14352.620000\n",
- " 746) Section #747 (Profil_747) at pk 14378.205000\n",
+ " 746) Section #747 (Profil_747) at pk 14378.200000\n",
" 747) Section #748 (Profil_748) at pk 14403.790000\n",
- " 748) Section #749 (Profil_749) at pk 14429.375000\n",
+ " 748) Section #749 (Profil_749) at pk 14429.370000\n",
" 749) Section #750 (Profil_750) at pk 14454.960000\n",
- " 750) Section #751 (Profil_751) at pk 14480.545000\n",
+ " 750) Section #751 (Profil_751) at pk 14480.540000\n",
" 751) Section #752 (Profil_752) at pk 14506.130000\n",
- " 752) Section #753 (Profil_753) at pk 14531.715000\n",
+ " 752) Section #753 (Profil_753) at pk 14531.710000\n",
" 753) Section #754 (Profil_754) at pk 14557.300000\n",
- " 754) Section #755 (Profil_755) at pk 14583.185000\n",
+ " 754) Section #755 (Profil_755) at pk 14583.180000\n",
" 755) Section #756 (Profil_756) at pk 14609.070000\n",
- " 756) Section #757 (Profil_757) at pk 14634.955000\n",
+ " 756) Section #757 (Profil_757) at pk 14634.950000\n",
" 757) Section #758 (Profil_758) at pk 14660.840000\n",
- " 758) Section #759 (Profil_759) at pk 14686.725000\n",
+ " 758) Section #759 (Profil_759) at pk 14686.730000\n",
" 759) Section #760 (Profil_760) at pk 14712.610000\n",
- " 760) Section #761 (Profil_761) at pk 14738.495000\n",
+ " 760) Section #761 (Profil_761) at pk 14738.500000\n",
" 761) Section #762 (Profil_762) at pk 14764.380000\n",
- " 762) Section #763 (Profil_763) at pk 14790.265000\n",
+ " 762) Section #763 (Profil_763) at pk 14790.270000\n",
" 763) Section #764 (Profil_764) at pk 14816.150000\n",
- " 764) Section #765 (Profil_765) at pk 14842.035000\n",
+ " 764) Section #765 (Profil_765) at pk 14842.040000\n",
" 765) Section #766 (Profil_766) at pk 14867.920000\n",
- " 766) Section #767 (Profil_767) at pk 14893.805000\n",
+ " 766) Section #767 (Profil_767) at pk 14893.810000\n",
" 767) Section #768 (Profil_768) at pk 14919.690000\n",
- " 768) Section #769 (Profil_769) at pk 14945.575000\n",
+ " 768) Section #769 (Profil_769) at pk 14945.580000\n",
" 769) Section #770 (Profil_770) at pk 14971.460000\n",
- " 770) Section #771 (Profil_771) at pk 14997.345000\n",
+ " 770) Section #771 (Profil_771) at pk 14997.350000\n",
" 771) Section #772 (Profil_772) at pk 15023.230000\n",
- " 772) Section #773 (Profil_773) at pk 15049.115000\n",
+ " 772) Section #773 (Profil_773) at pk 15049.120000\n",
" 773) Section #774 (Profil_774) at pk 15075.000000\n",
"3 variables:\n",
" - Cote du fond (m) | ZREF \n",
@@ -2887,10 +2937,10 @@
"execution_count": 15,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:52.115312Z",
- "iopub.status.busy": "2023-12-01T10:46:52.115131Z",
- "iopub.status.idle": "2023-12-01T10:46:52.118657Z",
- "shell.execute_reply": "2023-12-01T10:46:52.118167Z"
+ "iopub.execute_input": "2024-11-29T15:43:55.972509Z",
+ "iopub.status.busy": "2024-11-29T15:43:55.972259Z",
+ "iopub.status.idle": "2024-11-29T15:43:55.976823Z",
+ "shell.execute_reply": "2024-11-29T15:43:55.976286Z"
},
"scrolled": false
},
@@ -2904,74 +2954,74 @@
"\"Cote de l eau\";\"Z\";\"m\";0\n",
"\"Debit total\";\"Q\";\"m3/s\";0\n",
"[resultats]\n",
- "1.0;\" 1\";\" 1\";-4820.0;86.0;100.017807007;50.0 \n",
- "1.0;\" 1\";\" 2\";-4793.333333333;85.916664124;100.008766174;7.476777077 \n",
- "1.0;\" 1\";\" 3\";-4766.666666667;85.833335876;100.001983643;1.736426473 \n",
- "1.0;\" 1\";\" 4\";-4740.0;85.75;100.000450134;0.406433702 \n",
- "1.0;\" 1\";\" 5\";-4713.333333333;85.666664124;100.000106812;0.095997006 \n",
- "1.0;\" 1\";\" 6\";-4686.666666667;85.583335876;100.000022888;0.022869442 \n",
- "1.0;\" 1\";\" 7\";-4660.0;85.5;100.000007629;0.005492722 \n",
- "1.0;\" 1\";\" 8\";-4633.333333333;85.416664124;100.0;0.001329454 \n",
- "1.0;\" 1\";\" 9\";-4606.666666667;85.333335876;100.0;0.00032415 \n",
- "1.0;\" 1\";\" 10\";-4580.0;85.25;100.0;7.9589e-05 \n",
- "1.0;\" 1\";\" 11\";-4553.333333333;85.166664124;100.0;1.9672e-05 \n",
- "1.0;\" 1\";\" 12\";-4526.666666667;85.083335876;100.0;4.893e-06 \n",
- "1.0;\" 1\";\" 13\";-4500.0;85.0;100.0;1.253e-06 \n",
- "1.0;\" 1\";\" 14\";-4475.0;84.650001526;100.0;3.31e-07 \n",
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@@ -2985,1473 +3035,1473 @@
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"\n"
]
}
diff --git a/notebooks/workshop/solutions/exo_telemac2d.ipynb b/notebooks/workshop/solutions/exo_telemac2d.ipynb
index 5ee01c2d93..5c80742580 100644
--- a/notebooks/workshop/solutions/exo_telemac2d.ipynb
+++ b/notebooks/workshop/solutions/exo_telemac2d.ipynb
@@ -15,10 +15,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:53.063337Z",
- "iopub.status.busy": "2023-12-01T10:46:53.062634Z",
- "iopub.status.idle": "2023-12-01T10:46:53.424259Z",
- "shell.execute_reply": "2023-12-01T10:46:53.423827Z"
+ "iopub.execute_input": "2024-11-29T15:43:57.147880Z",
+ "iopub.status.busy": "2024-11-29T15:43:57.147682Z",
+ "iopub.status.idle": "2024-11-29T15:43:57.499432Z",
+ "shell.execute_reply": "2024-11-29T15:43:57.498865Z"
}
},
"outputs": [],
@@ -73,10 +73,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:53.427229Z",
- "iopub.status.busy": "2023-12-01T10:46:53.427005Z",
- "iopub.status.idle": "2023-12-01T10:46:53.862375Z",
- "shell.execute_reply": "2023-12-01T10:46:53.861869Z"
+ "iopub.execute_input": "2024-11-29T15:43:57.501759Z",
+ "iopub.status.busy": "2024-11-29T15:43:57.501531Z",
+ "iopub.status.idle": "2024-11-29T15:43:57.956989Z",
+ "shell.execute_reply": "2024-11-29T15:43:57.956419Z"
}
},
"outputs": [
@@ -125,10 +125,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:53.868112Z",
- "iopub.status.busy": "2023-12-01T10:46:53.867922Z",
- "iopub.status.idle": "2023-12-01T10:46:54.325003Z",
- "shell.execute_reply": "2023-12-01T10:46:54.324432Z"
+ "iopub.execute_input": "2024-11-29T15:43:57.961791Z",
+ "iopub.status.busy": "2024-11-29T15:43:57.961576Z",
+ "iopub.status.idle": "2024-11-29T15:43:58.421352Z",
+ "shell.execute_reply": "2024-11-29T15:43:58.420686Z"
}
},
"outputs": [
@@ -181,10 +181,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:46:54.330745Z",
- "iopub.status.busy": "2023-12-01T10:46:54.330556Z",
- "iopub.status.idle": "2023-12-01T10:46:54.931192Z",
- "shell.execute_reply": "2023-12-01T10:46:54.930798Z"
+ "iopub.execute_input": "2024-11-29T15:43:58.425933Z",
+ "iopub.status.busy": "2024-11-29T15:43:58.425713Z",
+ "iopub.status.idle": "2024-11-29T15:43:59.061329Z",
+ "shell.execute_reply": "2024-11-29T15:43:59.060638Z"
}
},
"outputs": [
@@ -192,7 +192,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "/home/d60881/telemac/scripts/python3/postel/plot2d.py:381: UserWarning: The following kwargs were not used by contour: 'vamx'\n",
+ "/home/d60881/telemac/scripts/python3/postel/plot2d.py:380: UserWarning: The following kwargs were not used by contour: 'vamx'\n",
" img = axe.tricontourf(mesh, data, levels, cmap=cmap, **kwargs)\n"
]
},
@@ -243,10 +243,10 @@
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@@ -304,10 +304,10 @@
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diff --git a/notebooks/workshop/solutions/exo_telemac3d.ipynb b/notebooks/workshop/solutions/exo_telemac3d.ipynb
index f849d5de5f..12b7036058 100644
--- a/notebooks/workshop/solutions/exo_telemac3d.ipynb
+++ b/notebooks/workshop/solutions/exo_telemac3d.ipynb
@@ -16,10 +16,10 @@
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@@ -56,10 +56,10 @@
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@@ -121,10 +121,10 @@
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@@ -194,10 +194,10 @@
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@@ -220,10 +220,10 @@
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+ "shell.execute_reply": "2024-11-29T15:44:02.913170Z"
}
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diff --git a/notebooks/workshop/solutions/exo_tomawac.ipynb b/notebooks/workshop/solutions/exo_tomawac.ipynb
index 9e68473e63..3f1a2c7ef8 100644
--- a/notebooks/workshop/solutions/exo_tomawac.ipynb
+++ b/notebooks/workshop/solutions/exo_tomawac.ipynb
@@ -20,10 +20,10 @@
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@@ -57,10 +57,10 @@
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@@ -113,10 +113,10 @@
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@@ -171,10 +171,10 @@
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@@ -232,10 +232,10 @@
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+ "shell.execute_reply": "2024-11-29T15:44:11.220217Z"
}
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"outputs": [
diff --git a/notebooks/workshop/solutions/exo_volume.ipynb b/notebooks/workshop/solutions/exo_volume.ipynb
index 97288b47cb..d28594ec6c 100644
--- a/notebooks/workshop/solutions/exo_volume.ipynb
+++ b/notebooks/workshop/solutions/exo_volume.ipynb
@@ -55,10 +55,10 @@
"execution_count": 1,
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- "iopub.status.idle": "2023-12-01T10:47:08.401299Z",
- "shell.execute_reply": "2023-12-01T10:47:08.400744Z"
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+ "iopub.status.busy": "2024-11-29T15:44:12.463603Z",
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+ "shell.execute_reply": "2024-11-29T15:44:12.817512Z"
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"outputs": [],
@@ -89,10 +89,10 @@
"execution_count": 2,
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- "shell.execute_reply": "2023-12-01T10:47:08.430261Z"
+ "iopub.execute_input": "2024-11-29T15:44:12.821194Z",
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+ "shell.execute_reply": "2024-11-29T15:44:12.851972Z"
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@@ -146,10 +146,10 @@
"execution_count": 3,
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- "iopub.status.idle": "2023-12-01T10:47:12.792782Z",
- "shell.execute_reply": "2023-12-01T10:47:12.792142Z"
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+ "shell.execute_reply": "2024-11-29T15:44:18.097634Z"
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@@ -163,87 +163,93 @@
"Volume at record 2: 77269.749475 Mm3\n",
"Volume at record 3: 77278.532550 Mm3\n",
"Volume at record 4: 76687.575338 Mm3\n",
- "Volume at record 5: 75886.674871 Mm3\n",
- "Volume at record 6: 74962.964433 Mm3\n",
- "Volume at record 7: 73901.789998 Mm3\n"
+ "Volume at record 5: 75886.674871 Mm3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Volume at record 8: 72869.000580 Mm3\n",
- "Volume at record 9: 71921.165223 Mm3\n"
+ "Volume at record 6: 74962.964433 Mm3\n",
+ "Volume at record 7: 73901.789998 Mm3\n",
+ "Volume at record 8: 72869.000580 Mm3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
+ "Volume at record 9: 71921.165223 Mm3\n",
"Volume at record 10: 71037.002395 Mm3\n",
"Volume at record 11: 70053.236513 Mm3\n",
"Volume at record 12: 69028.925287 Mm3\n",
"Volume at record 13: 68018.353987 Mm3\n",
"Volume at record 14: 67004.757365 Mm3\n",
- "Volume at record 15: 66052.728716 Mm3\n",
+ "Volume at record 15: 66052.728716 Mm3\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"Volume at record 16: 65220.244383 Mm3\n",
"Volume at record 17: 64508.742925 Mm3\n",
- "Volume at record 18: 63884.884550 Mm3\n",
- "Volume at record 19: 63341.153795 Mm3\n"
+ "Volume at record 18: 63884.884550 Mm3\n"
]
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{
"name": "stdout",
"output_type": "stream",
"text": [
+ "Volume at record 19: 63341.153795 Mm3\n",
"Volume at record 20: 62887.444017 Mm3\n",
"Volume at record 21: 62510.414425 Mm3\n",
- "Volume at record 22: 62209.798016 Mm3\n"
+ "Volume at record 22: 62209.798016 Mm3\n",
+ "Volume at record 23: 62008.334601 Mm3\n",
+ "Volume at record 24: 61916.935798 Mm3\n",
+ "Volume at record 25: 61932.353105 Mm3\n"
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{
"name": "stdout",
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- "Volume at record 23: 62008.334601 Mm3\n",
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- "Volume at record 25: 61932.353105 Mm3\n",
"Volume at record 26: 62050.738643 Mm3\n",
"Volume at record 27: 62270.170772 Mm3\n",
- "Volume at record 28: 62582.308506 Mm3\n",
- "Volume at record 29: 62974.950923 Mm3\n",
- "Volume at record 30: 63442.907962 Mm3\n",
- "Volume at record 31: 63986.386623 Mm3\n"
+ "Volume at record 28: 62582.308506 Mm3\n"
]
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{
"name": "stdout",
"output_type": "stream",
"text": [
+ "Volume at record 29: 62974.950923 Mm3\n",
+ "Volume at record 30: 63442.907962 Mm3\n",
+ "Volume at record 31: 63986.386623 Mm3\n",
"Volume at record 32: 64604.972097 Mm3\n",
- "Volume at record 33: 65299.516098 Mm3\n"
+ "Volume at record 33: 65299.516098 Mm3\n",
+ "Volume at record 34: 66072.627661 Mm3\n",
+ "Volume at record 35: 66919.032136 Mm3\n"
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"name": "stdout",
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"Volume at record 36: 67828.937981 Mm3\n",
"Volume at record 37: 68789.359169 Mm3\n",
- "Volume at record 38: 69786.496408 Mm3\n",
- "Volume at record 39: 70803.273409 Mm3\n",
- "Volume at record 40: 71821.321250 Mm3\n",
- "Volume at record 41: 72822.248573 Mm3\n",
- "Volume at record 42: 73786.316223 Mm3\n",
- "Volume at record 43: 74693.026862 Mm3\n"
+ "Volume at record 38: 69786.496408 Mm3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
+ "Volume at record 39: 70803.273409 Mm3\n",
+ "Volume at record 40: 71821.321250 Mm3\n",
+ "Volume at record 41: 72822.248573 Mm3\n",
+ "Volume at record 42: 73786.316223 Mm3\n",
+ "Volume at record 43: 74693.026862 Mm3\n",
"Volume at record 44: 75521.095164 Mm3\n",
"Volume at record 45: 76249.528198 Mm3\n"
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@@ -254,7 +260,13 @@
"text": [
"Volume at record 46: 76858.316132 Mm3\n",
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- "Volume at record 48: 77650.520556 Mm3\n",
+ "Volume at record 48: 77650.520556 Mm3\n"
+ ]
+ },
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+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"Volume at record 49: 77811.438986 Mm3\n",
"Volume at record 50: 77808.954865 Mm3\n",
"Volume at record 51: 77643.971252 Mm3\n",
@@ -283,76 +295,88 @@
"Volume at record 62: 68718.974435 Mm3\n",
"Volume at record 63: 67730.861896 Mm3\n",
"Volume at record 64: 66789.866539 Mm3\n",
- "Volume at record 65: 65909.745166 Mm3\n",
- "Volume at record 66: 65101.517802 Mm3\n",
- "Volume at record 67: 64374.757961 Mm3\n"
+ "Volume at record 65: 65909.745166 Mm3\n"
]
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{
"name": "stdout",
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- "Volume at record 68: 63736.753411 Mm3\n",
- "Volume at record 69: 63192.343551 Mm3\n",
- "Volume at record 70: 62744.748582 Mm3\n"
+ "Volume at record 66: 65101.517802 Mm3\n",
+ "Volume at record 67: 64374.757961 Mm3\n",
+ "Volume at record 68: 63736.753411 Mm3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
+ "Volume at record 69: 63192.343551 Mm3\n",
+ "Volume at record 70: 62744.748582 Mm3\n",
"Volume at record 71: 62395.627405 Mm3\n",
"Volume at record 72: 62145.777833 Mm3\n",
"Volume at record 73: 61994.409551 Mm3\n",
- "Volume at record 74: 61940.079484 Mm3\n",
+ "Volume at record 74: 61940.079484 Mm3\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
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"Volume at record 76: 62118.255283 Mm3\n",
"Volume at record 77: 62349.025517 Mm3\n",
- "Volume at record 78: 62672.916559 Mm3\n",
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+ "Volume at record 78: 62672.916559 Mm3\n"
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{
"name": "stdout",
"output_type": "stream",
"text": [
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"Volume at record 80: 63580.596255 Mm3\n",
"Volume at record 81: 64153.057294 Mm3\n",
- "Volume at record 82: 64800.202086 Mm3\n"
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"Volume at record 85: 67177.600137 Mm3\n",
"Volume at record 86: 68103.913708 Mm3\n",
"Volume at record 87: 69079.787091 Mm3\n",
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{
"name": "stdout",
"output_type": "stream",
"text": [
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"Volume at record 92: 74081.815390 Mm3\n",
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- "Volume at record 94: 75774.158370 Mm3\n"
+ "Volume at record 93: 74970.587160 Mm3\n"
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{
"name": "stdout",
"output_type": "stream",
"text": [
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"Volume at record 95: 76470.974948 Mm3\n",
"Volume at record 96: 77041.095609 Mm3\n",
"Volume at record 97: 77467.656512 Mm3\n",
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+ "Volume at record 98: 77738.303901 Mm3\n"
+ ]
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+ "output_type": "stream",
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"Volume at record 100: 77792.320701 Mm3\n",
"Volume at record 101: 77577.955446 Mm3\n",
@@ -366,89 +390,101 @@
"text": [
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"Volume at record 105: 75278.673712 Mm3\n",
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+ "Volume at record 113: 67446.129572 Mm3\n"
]
},
{
"name": "stdout",
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+ "Volume at record 117: 64169.749792 Mm3\n"
]
},
{
"name": "stdout",
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"Volume at record 121: 62307.351890 Mm3\n",
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+ "Volume at record 123: 61966.772885 Mm3\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
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"Volume at record 124: 61941.553854 Mm3\n",
"Volume at record 125: 62011.393701 Mm3\n",
- "Volume at record 126: 62175.892475 Mm3\n",
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+ "Volume at record 126: 62175.892475 Mm3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
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+ "Volume at record 127: 62434.551801 Mm3\n",
"Volume at record 128: 62785.261822 Mm3\n",
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- "Volume at record 130: 63742.040917 Mm3\n"
+ "Volume at record 130: 63742.040917 Mm3\n",
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"Volume at record 135: 67437.671291 Mm3\n",
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- "Volume at record 139: 71418.735422 Mm3\n"
+ "Volume at record 136: 68377.255496 Mm3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
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+ "Volume at record 139: 71418.735422 Mm3\n",
"Volume at record 140: 72436.343426 Mm3\n",
"Volume at record 141: 73425.921262 Mm3\n",
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+ "Volume at record 142: 74363.826324 Mm3\n",
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- "Volume at record 143: 75219.154358 Mm3\n",
"Volume at record 144: 75983.695457 Mm3\n",
"Volume at record 145: 76633.464436 Mm3\n",
- "Volume at record 146: 77159.062553 Mm3\n",
+ "Volume at record 146: 77159.062553 Mm3\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"Volume at record 147: 77542.793064 Mm3\n",
"Volume at record 148: 77773.834634 Mm3\n",
"Volume at record 149: 77840.981640 Mm3\n",
@@ -462,43 +498,49 @@
"output_type": "stream",
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- "Volume at record 154: 75816.898122 Mm3\n"
+ "Volume at record 154: 75816.898122 Mm3\n",
+ "Volume at record 155: 75019.290194 Mm3\n",
+ "Volume at record 156: 74132.811061 Mm3\n"
]
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- "Volume at record 155: 75019.290194 Mm3\n",
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"Volume at record 157: 73180.030775 Mm3\n",
"Volume at record 158: 72182.680348 Mm3\n",
"Volume at record 159: 71159.667830 Mm3\n",
"Volume at record 160: 70128.982222 Mm3\n",
"Volume at record 161: 69106.752392 Mm3\n",
- "Volume at record 162: 68109.121999 Mm3\n",
- "Volume at record 163: 67150.476030 Mm3\n",
- "Volume at record 164: 66244.463311 Mm3\n"
+ "Volume at record 162: 68109.121999 Mm3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
+ "Volume at record 163: 67150.476030 Mm3\n",
+ "Volume at record 164: 66244.463311 Mm3\n",
"Volume at record 165: 65404.077901 Mm3\n",
- "Volume at record 166: 64641.247115 Mm3\n",
- "Volume at record 167: 63966.037091 Mm3\n"
+ "Volume at record 166: 64641.247115 Mm3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
+ "Volume at record 167: 63966.037091 Mm3\n",
"Volume at record 168: 63384.267149 Mm3\n",
"Volume at record 169: 62899.643084 Mm3\n",
"Volume at record 170: 62513.405530 Mm3\n",
"Volume at record 171: 62225.917999 Mm3\n",
- "Volume at record 172: 62037.047821 Mm3\n",
+ "Volume at record 172: 62037.047821 Mm3\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
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"Volume at record 174: 61950.860472 Mm3\n",
"Volume at record 175: 62051.668607 Mm3\n",
@@ -511,42 +553,48 @@
"text": [
"Volume at record 177: 62535.400042 Mm3\n",
"Volume at record 178: 62915.001492 Mm3\n",
- "Volume at record 179: 63378.693096 Mm3\n"
+ "Volume at record 179: 63378.693096 Mm3\n",
+ "Volume at record 180: 63921.705391 Mm3\n",
+ "Volume at record 181: 64541.325342 Mm3\n",
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]
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{
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- "Volume at record 180: 63921.705391 Mm3\n",
- "Volume at record 181: 64541.325342 Mm3\n",
- "Volume at record 182: 65235.554174 Mm3\n",
"Volume at record 183: 66003.847541 Mm3\n",
"Volume at record 184: 66843.877022 Mm3\n",
"Volume at record 185: 67748.339915 Mm3\n",
- "Volume at record 186: 68697.008000 Mm3\n",
- "Volume at record 187: 69689.249308 Mm3\n",
- "Volume at record 188: 70705.997722 Mm3\n"
+ "Volume at record 186: 68697.008000 Mm3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
+ "Volume at record 187: 69689.249308 Mm3\n",
+ "Volume at record 188: 70705.997722 Mm3\n",
"Volume at record 189: 71727.870692 Mm3\n",
"Volume at record 190: 72738.985443 Mm3\n",
- "Volume at record 191: 73715.960893 Mm3\n"
+ "Volume at record 191: 73715.960893 Mm3\n",
+ "Volume at record 192: 74636.490463 Mm3\n"
]
},
{
"name": "stdout",
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"text": [
- "Volume at record 192: 74636.490463 Mm3\n",
"Volume at record 193: 75481.596672 Mm3\n",
"Volume at record 194: 76213.669952 Mm3\n",
"Volume at record 195: 76827.112315 Mm3\n",
- "Volume at record 196: 77302.896516 Mm3\n",
+ "Volume at record 196: 77302.896516 Mm3\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"Volume at record 197: 77628.579580 Mm3\n",
"Volume at record 198: 77801.491556 Mm3\n",
"Volume at record 199: 77816.437898 Mm3\n",
@@ -603,10 +651,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:47:12.794783Z",
- "iopub.status.busy": "2023-12-01T10:47:12.794592Z",
- "iopub.status.idle": "2023-12-01T10:47:12.798021Z",
- "shell.execute_reply": "2023-12-01T10:47:12.797542Z"
+ "iopub.execute_input": "2024-11-29T15:44:18.101080Z",
+ "iopub.status.busy": "2024-11-29T15:44:18.100887Z",
+ "iopub.status.idle": "2024-11-29T15:44:18.104500Z",
+ "shell.execute_reply": "2024-11-29T15:44:18.104091Z"
}
},
"outputs": [],
@@ -627,10 +675,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-01T10:47:12.799851Z",
- "iopub.status.busy": "2023-12-01T10:47:12.799676Z",
- "iopub.status.idle": "2023-12-01T10:47:13.264841Z",
- "shell.execute_reply": "2023-12-01T10:47:13.264315Z"
+ "iopub.execute_input": "2024-11-29T15:44:18.106724Z",
+ "iopub.status.busy": "2024-11-29T15:44:18.106545Z",
+ "iopub.status.idle": "2024-11-29T15:44:18.623962Z",
+ "shell.execute_reply": "2024-11-29T15:44:18.623511Z"
},
"scrolled": true
},
@@ -662,7 +710,13 @@
"Volume at record 20: 0.398978 m3\n",
"Volume at record 21: 0.398968 m3\n",
"Volume at record 22: 0.398958 m3\n",
- "Volume at record 23: 0.398947 m3\n",
+ "Volume at record 23: 0.398947 m3\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"Volume at record 24: 0.398937 m3\n",
"Volume at record 25: 0.398927 m3\n",
"Volume at record 26: 0.398917 m3\n",
@@ -711,7 +765,13 @@
"Volume at record 69: 0.398482 m3\n",
"Volume at record 70: 0.398472 m3\n",
"Volume at record 71: 0.398462 m3\n",
- "Volume at record 72: 0.398452 m3\n",
+ "Volume at record 72: 0.398452 m3\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
"Volume at record 73: 0.398442 m3\n",
"Volume at record 74: 0.398432 m3\n",
"Volume at record 75: 0.398421 m3\n",
--
GitLab