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chore: replace pickle with store #208

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2 changes: 1 addition & 1 deletion notebooks/10minutes/preprocessed_directories.ipynb
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Expand Up @@ -505,7 +505,7 @@
},
"outputs": [],
"source": [
"inversion_output = gdir.read_pickle('inversion_output') # The task above wrote the data to a pickle file - but we write to plenty of other files!\n",
"inversion_output = gdir.read_store('inversion_output') # The task above wrote the data to a npz file - but we write to plenty of other files!\n",
"\n",
"# Take the first flowline\n",
"fl = inversion_output[0]\n",
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6 changes: 3 additions & 3 deletions notebooks/tutorials/elevation_bands_vs_centerlines.ipynb
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Expand Up @@ -146,8 +146,8 @@
},
"outputs": [],
"source": [
"fls_cl = gdir_cl.read_pickle('model_flowlines')\n",
"fls_eb = gdir_eb.read_pickle('model_flowlines')"
"fls_cl = gdir_cl.read_store('model_flowlines')\n",
"fls_eb = gdir_eb.read_store('model_flowlines')"
]
},
{
Expand Down Expand Up @@ -347,7 +347,7 @@
"colors = sns.color_palette('rocket', len(sel_years))\n",
"with plt.rc_context({'axes.prop_cycle': plt.cycler(color=colors)}):\n",
" f, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 5.5), sharey=True, sharex=True)\n",
" n_lines = len(gdir_cl.read_pickle('model_flowlines'))\n",
" n_lines = len(gdir_cl.read_store('model_flowlines'))\n",
" with xr.open_dataset(gdir_cl.get_filepath('fl_diagnostics', filesuffix=rid), group=f'fl_{n_lines-1}') as ds:\n",
" (ds.bed_h + ds.sel(time=sel_years).thickness_m).plot(ax=ax1, hue='time')\n",
" ds.bed_h.plot(ax=ax1, c='k')\n",
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6 changes: 3 additions & 3 deletions notebooks/tutorials/ingest_gridded_data_on_flowlines.ipynb
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Expand Up @@ -618,7 +618,7 @@
},
"outputs": [],
"source": [
"fl = gdir.read_pickle('inversion_flowlines')[0]\n",
"fl = gdir.read_store('inversion_flowlines')[0]\n",
"df_regular['mean_elevation'] = fl.surface_h"
]
},
Expand Down Expand Up @@ -661,7 +661,7 @@
},
"outputs": [],
"source": [
"inv = gdir.read_pickle('inversion_output')[0]"
"inv = gdir.read_store('inversion_output')[0]"
]
},
{
Expand Down Expand Up @@ -751,7 +751,7 @@
},
"outputs": [],
"source": [
"inv = gdir.read_pickle('inversion_output')[0]"
"inv = gdir.read_store('inversion_output')[0]"
]
},
{
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2 changes: 1 addition & 1 deletion notebooks/tutorials/inversion.ipynb
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Expand Up @@ -591,7 +591,7 @@
"# Add the glaciers outlines\n",
"for gdir in sel_gdirs:\n",
" crs = gdir.grid.center_grid\n",
" geom = gdir.read_pickle('geometries')\n",
" geom = gdir.read_store('geometries')\n",
" poly_pix = geom['polygon_pix']\n",
" smap.set_geometry(poly_pix, crs=crs, fc='none', zorder=2, linewidth=.2)\n",
" for l in poly_pix.interiors:\n",
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2 changes: 1 addition & 1 deletion notebooks/tutorials/massbalance_calibration.ipynb
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Expand Up @@ -182,7 +182,7 @@
"source": [
"for gdir in gdirs:\n",
" mbmod = massbalance.MonthlyTIModel(gdir)\n",
" mean_mb = mbmod.get_specific_mb(fls=gdir.read_pickle('inversion_flowlines'),\n",
" mean_mb = mbmod.get_specific_mb(fls=gdir.read_store('inversion_flowlines'),\n",
" year=np.arange(2000,2020,1)).mean()\n",
" print(gdir.rgi_id, f': average MB 2000-2020 = {mean_mb:.1f} kg m-2, ',\n",
" f\"prcp_fac: {gdir.read_json('mb_calib')['prcp_fac']:.2f}\")"
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4 changes: 2 additions & 2 deletions notebooks/tutorials/numeric_solvers.ipynb
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Expand Up @@ -339,7 +339,7 @@
"metadata": {},
"outputs": [],
"source": [
"fl_trap = gdir_eb.read_pickle('model_flowlines')\n",
"fl_trap = gdir_eb.read_store('model_flowlines')\n",
"fl_trap[-1].is_trapezoid[fl_trap[-1].thick == 0]"
]
},
Expand All @@ -366,7 +366,7 @@
"# IMPORTANT: need to call init_present_time_glacier to take effect\n",
"tasks.init_present_time_glacier(gdir_eb)\n",
"\n",
"fl_trap = gdir_eb.read_pickle('model_flowlines')\n",
"fl_trap = gdir_eb.read_store('model_flowlines')\n",
"fl_trap[-1].is_trapezoid[fl_trap[-1].thick == 0]"
]
},
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12 changes: 6 additions & 6 deletions notebooks/tutorials/observed_thickness_with_dynamic_spinup.ipynb
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Expand Up @@ -116,9 +116,9 @@
" use_binned_thickness_data='millan_ice_thickness')\n",
"\n",
"# open the default oggm flowline and the two we just created\n",
"fls_oggm = gdir.read_pickle('model_flowlines')\n",
"fls_consensus = gdir.read_pickle('model_flowlines', filesuffix='_consensus')\n",
"fls_millan = gdir.read_pickle('model_flowlines', filesuffix='_millan')\n",
"fls_oggm = gdir.read_store('model_flowlines')\n",
"fls_consensus = gdir.read_store('model_flowlines', filesuffix='_consensus')\n",
"fls_millan = gdir.read_store('model_flowlines', filesuffix='_millan')\n",
"\n",
"# plot the created dynamic flowlines, including the oggm default\n",
"fig, axs = plt.subplots(2, 2, figsize=(10, 7))\n",
Expand Down Expand Up @@ -288,7 +288,7 @@
" else:\n",
" label = filesuffix[1:]\n",
"\n",
" fl = gdir.read_pickle('model_flowlines', filesuffix=filesuffix)[0]\n",
" fl = gdir.read_store('model_flowlines', filesuffix=filesuffix)[0]\n",
" with xr.open_dataset(\n",
" gdir.get_filepath('model_diagnostics',\n",
" filesuffix=f'_spinup_historical{filesuffix}')) as ds:\n",
Expand Down Expand Up @@ -360,7 +360,7 @@
" ref_volume = fls_millan[0].volume_m3\n",
" workflow.execute_entity_task(\n",
" tasks.run_dynamic_melt_f_calibration, gdirs,\n",
" init_model_fls=gdir.read_pickle('model_flowlines',\n",
" init_model_fls=gdir.read_store('model_flowlines',\n",
" filesuffix='_millan_adapted'),\n",
" err_dmdtda_scaling_factor=0.2,\n",
" ys=1979, ye=2020,\n",
Expand All @@ -385,7 +385,7 @@
"# conduct the dynamic initialisation once more to be sure the right one is saved\n",
"workflow.execute_entity_task(\n",
" tasks.run_dynamic_melt_f_calibration, gdirs,\n",
" init_model_fls=gdir.read_pickle('model_flowlines', filesuffix='_millan_adapted'),\n",
" init_model_fls=gdir.read_store('model_flowlines', filesuffix='_millan_adapted'),\n",
" err_dmdtda_scaling_factor=0.2,\n",
" ys=1979, ye=2020,\n",
" melt_f_max=cfg.PARAMS['melt_f_max'],\n",
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2 changes: 1 addition & 1 deletion notebooks/tutorials/plot_mass_balance.ipynb
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Expand Up @@ -114,7 +114,7 @@
"mbmod = massbalance.MultipleFlowlineMassBalance(gdir)\n",
"\n",
"# Compute the specific MB for this glacier\n",
"fls = gdir.read_pickle('model_flowlines')\n",
"fls = gdir.read_store('model_flowlines')\n",
"years = np.arange(1950, 2019)\n",
"mb_ts = mbmod.get_specific_mb(fls=fls, year=years)\n",
"\n",
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2 changes: 1 addition & 1 deletion notebooks/tutorials/running_oggm_with_avalanches.ipynb
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Expand Up @@ -314,7 +314,7 @@
"from snowslide.oggm_snowslide_compat_minimal import MonthlyTIAvalancheModel\n",
"\n",
"# Get flowline\n",
"flowline = gdir.read_pickle('inversion_flowlines')[0]\n",
"flowline = gdir.read_store('inversion_flowlines')[0]\n",
"\n",
"# get mass balance model\n",
"mb_control = MonthlyTIModel(gdir)\n",
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4 changes: 2 additions & 2 deletions notebooks/tutorials/where_are_the_flowlines.ipynb
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Expand Up @@ -162,7 +162,7 @@
"outputs": [],
"source": [
"# Get the centerlines\n",
"cls = gdir.read_pickle('centerlines')\n",
"cls = gdir.read_store('centerlines')\n",
"# Get the coord of the last point of the main centerline\n",
"cl = cls[-1]\n",
"i, j = cl.line.coords[-1]\n",
Expand Down Expand Up @@ -195,7 +195,7 @@
"outputs": [],
"source": [
"# Get the flowlines\n",
"cls = gdir.read_pickle('inversion_flowlines')\n",
"cls = gdir.read_store('inversion_flowlines')\n",
"# Get the coord of the last point of the main centerline\n",
"cl = cls[-1]\n",
"i, j = cl.line.coords[-1]\n",
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