From c9084d51af0d932a7ab468929c31673dbca472ce Mon Sep 17 00:00:00 2001 From: aleaf Date: Tue, 27 Aug 2024 22:10:54 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20=20@=200215f?= =?UTF-8?q?b8bc7b987fd0c51b889cdf5f47b3b39fc5d=20=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- latest/.buildinfo | 2 +- latest/10min.html | 8 +- ...tebooks_Pleasant_lake_lgr_example_24_1.png | Bin 31268 -> 31268 bytes ...tebooks_Pleasant_lake_lgr_example_26_0.png | Bin 20175 -> 20175 bytes ...tebooks_Pleasant_lake_lgr_example_36_0.png | Bin 109649 -> 109600 bytes latest/_images/pleasant_lgr.png | Bin 27166 -> 27166 bytes latest/_images/pleasant_lgr_xsection.png | Bin 20175 -> 20175 bytes latest/_images/pleasant_vlgr_xsection.png | Bin 22270 -> 22270 bytes latest/_modules/index.html | 8 +- latest/_modules/mfsetup/discretization.html | 8 +- latest/_modules/mfsetup/fileio.html | 8 +- latest/_modules/mfsetup/grid.html | 8 +- latest/_modules/mfsetup/interpolate.html | 8 +- latest/_modules/mfsetup/mf6model.html | 124 +++--- latest/_modules/mfsetup/mfmodel.html | 8 +- latest/_modules/mfsetup/mfnwtmodel.html | 8 +- latest/_modules/mfsetup/tdis.html | 8 +- latest/_modules/mfsetup/tmr.html | 8 +- .../Pleasant_lake_lgr_example.ipynb.txt | 400 ++++++++++-------- latest/_static/documentation_options.js | 2 +- latest/_static/pleasant_lgr.png | Bin 27166 -> 27166 bytes latest/_static/pleasant_lgr_xsection.png | Bin 20175 -> 20175 bytes latest/_static/pleasant_vlgr_xsection.png | Bin 22270 -> 22270 bytes latest/api/index.html | 8 +- latest/api/mfsetup.discretization.html | 10 +- latest/api/mfsetup.fileio.html | 8 +- latest/api/mfsetup.grid.html | 10 +- latest/api/mfsetup.interpolate.html | 8 +- latest/api/mfsetup.mf6model.html | 10 +- latest/api/mfsetup.mfmodel.html | 8 +- latest/api/mfsetup.mfnwtmodel.html | 10 +- latest/api/mfsetup.tdis.html | 8 +- latest/api/mfsetup.tmr.html | 8 +- latest/concepts/index.html | 8 +- latest/concepts/interp.html | 12 +- latest/concepts/lgr.html | 10 +- latest/concepts/perimeter-bcs.html | 12 +- latest/config-file-defaults.html | 8 +- latest/config-file-gallery.html | 8 +- latest/config-file.html | 8 +- latest/contributing.html | 8 +- latest/examples.html | 8 +- latest/genindex.html | 8 +- latest/index.html | 12 +- latest/input/basic-stress.html | 8 +- latest/input/dis.html | 12 +- latest/input/ic.html | 8 +- latest/input/index.html | 8 +- latest/input/lak.html | 8 +- latest/input/obs.html | 8 +- latest/input/oc.html | 14 +- latest/input/props.html | 8 +- latest/input/sfr.html | 8 +- latest/installation.html | 8 +- .../notebooks/Pleasant_lake_lgr_example.html | 92 +++- .../notebooks/Pleasant_lake_lgr_example.ipynb | 400 ++++++++++-------- latest/objects.inv | Bin 10775 -> 10777 bytes latest/philosophy.html | 12 +- latest/py-modindex.html | 8 +- latest/references.html | 8 +- latest/release-history.html | 8 +- latest/search.html | 8 +- latest/searchindex.js | 2 +- latest/structure.html | 8 +- latest/troubleshooting.html | 8 +- 65 files changed, 829 insertions(+), 613 deletions(-) diff --git a/latest/.buildinfo b/latest/.buildinfo index 756d9b09..0fb8b741 100644 --- a/latest/.buildinfo +++ b/latest/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 1fd057c67c4ba35972bbebb36845f44c +config: 02bfa9e354f35a2e3acea51788afa2a6 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/latest/10min.html b/latest/10min.html index 1be01a0e..c1926e6d 100644 --- a/latest/10min.html +++ b/latest/10min.html @@ -4,7 +4,7 @@ - 10 Minutes to Modflow-setup — modflow-setup 0.5.0.post19+g85b7816 documentation + 10 Minutes to Modflow-setup — modflow-setup 0.5.0.post22+g0215fb8 documentation @@ -15,7 +15,7 @@ - + @@ -40,7 +40,7 @@ modflow-setup
- 0.5.0.post19+g85b7816 + 0.5.0.post22+g0215fb8
@@ -444,7 +444,7 @@

5) Make a minimum working configuration file and model build script

© Copyright 2019-2024, Modflow-setup developers |. - Last updated on Aug 08, 2024. + Last updated on Aug 27, 2024.

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51efea6d5f7b1d4c3e34bb337c9ec345dc9593cd..71faef6d983f04abff51621ea358b196f9f95037 100644 GIT binary patch delta 43 zcmeyjmhsH3O(%r`ft%?JYkc+wEX delta 43 zcmeyjmhsH3!?-zjcPn-K;8ezy^H diff --git a/latest/_modules/index.html b/latest/_modules/index.html index ce7d90bf..c6b2c27b 100644 --- a/latest/_modules/index.html +++ b/latest/_modules/index.html @@ -3,7 +3,7 @@ - Overview: module code — modflow-setup 0.5.0.post19+g85b7816 documentation + Overview: module code — modflow-setup 0.5.0.post22+g0215fb8 documentation @@ -14,7 +14,7 @@ - + @@ -37,7 +37,7 @@ modflow-setup
- 0.5.0.post19+g85b7816 + 0.5.0.post22+g0215fb8
@@ -120,7 +120,7 @@

All modules for which code is available

© Copyright 2019-2024, Modflow-setup developers |. - Last updated on Aug 08, 2024. + Last updated on Aug 27, 2024.

diff --git a/latest/_modules/mfsetup/discretization.html b/latest/_modules/mfsetup/discretization.html index fd9b1427..f84b20d4 100644 --- a/latest/_modules/mfsetup/discretization.html +++ b/latest/_modules/mfsetup/discretization.html @@ -3,7 +3,7 @@ - mfsetup.discretization — modflow-setup 0.5.0.post19+g85b7816 documentation + mfsetup.discretization — modflow-setup 0.5.0.post22+g0215fb8 documentation @@ -14,7 +14,7 @@ - + @@ -37,7 +37,7 @@ modflow-setup
- 0.5.0.post19+g85b7816 + 0.5.0.post22+g0215fb8
@@ -925,7 +925,7 @@

Source code for mfsetup.discretization

 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/_modules/mfsetup/fileio.html b/latest/_modules/mfsetup/fileio.html
index c3d7f436..4979c5cb 100644
--- a/latest/_modules/mfsetup/fileio.html
+++ b/latest/_modules/mfsetup/fileio.html
@@ -3,7 +3,7 @@
 
   
   
-  mfsetup.fileio — modflow-setup 0.5.0.post19+g85b7816 documentation
+  mfsetup.fileio — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -14,7 +14,7 @@
     
   
   
-        
+        
         
         
         
@@ -37,7 +37,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -1405,7 +1405,7 @@ 
Source code for mfsetup.fileio
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/_modules/mfsetup/grid.html b/latest/_modules/mfsetup/grid.html
index 6246a4ed..bcc08daa 100644
--- a/latest/_modules/mfsetup/grid.html
+++ b/latest/_modules/mfsetup/grid.html
@@ -3,7 +3,7 @@
 
   
   
-  mfsetup.grid — modflow-setup 0.5.0.post19+g85b7816 documentation
+  mfsetup.grid — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -14,7 +14,7 @@
     
   
   
-        
+        
         
         
         
@@ -37,7 +37,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -1494,7 +1494,7 @@ 
Source code for mfsetup.grid
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/_modules/mfsetup/interpolate.html b/latest/_modules/mfsetup/interpolate.html
index ea6779f4..5ec986d8 100644
--- a/latest/_modules/mfsetup/interpolate.html
+++ b/latest/_modules/mfsetup/interpolate.html
@@ -3,7 +3,7 @@
 
   
   
-  mfsetup.interpolate — modflow-setup 0.5.0.post19+g85b7816 documentation
+  mfsetup.interpolate — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -14,7 +14,7 @@
     
   
   
-        
+        
         
         
         
@@ -37,7 +37,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -539,7 +539,7 @@ 
Source code for mfsetup.interpolate
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/_modules/mfsetup/mf6model.html b/latest/_modules/mfsetup/mf6model.html
index 239154ee..208f8683 100644
--- a/latest/_modules/mfsetup/mf6model.html
+++ b/latest/_modules/mfsetup/mf6model.html
@@ -3,7 +3,7 @@
 
   
   
-  mfsetup.mf6model — modflow-setup 0.5.0.post19+g85b7816 documentation
+  mfsetup.mf6model — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -14,7 +14,7 @@
     
   
   
-        
+        
         
         
         
@@ -37,7 +37,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -349,7 +349,6 @@ 
Source code for mfsetup.mf6model
         # re-write the input files
         # todo: integrate this better with setup_dis
         # to reduce the number of times the arrays need to be remade
-
         self._setup_array('dis', 'botm',
                         data={i: arr for i, arr in enumerate(botm)},
                         datatype='array3d', resample_method='linear',
@@ -1135,66 +1134,79 @@ 
Source code for mfsetup.mf6model
         """
         # prior to writing output
         # remove any BCs in inactive cells
-        pckgs = ['chd', 'drn', 'ghb', 'riv', 'wel']
-        for pckg in pckgs:
-            package_instance = getattr(self, pckg.lower(), None)
-            if package_instance is not None:
-                external_files = self.cfg[pckg.lower()]['stress_period_data']
-                remove_inactive_bcs(package_instance,
-                                    external_files=external_files)
-        if hasattr(self, 'obs'):
-            for obs_package_instance in self.obs:
-                remove_inactive_obs(obs_package_instance)
-
-        # write the model with flopy
-        # but skip the sfr package
-        # by monkey-patching the write method
-        def skip_write(**kwargs):
-            pass
-        if hasattr(self, 'sfr'):
-            self.sfr.write = skip_write
+        # handle cases of single model or multi-model LGR simulation
+        # by working with the simulation-level model dictionary
+        for model_name, model in self.simulation.model_dict.items():
+            pckgs = ['chd', 'drn', 'ghb', 'riv', 'wel']
+            for pckg in pckgs:
+                package_instance = getattr(model, pckg.lower(), None)
+                if package_instance is not None:
+                    external_files = model.cfg[pckg.lower()]['stress_period_data']
+                    remove_inactive_bcs(package_instance,
+                                        external_files=external_files)
+            if hasattr(model, 'obs'):
+                # handle case of single obs package, in which case model.obs
+                # will be a ModflowUtlobs package instance
+                try:
+                    len(model.obs)
+                    obs_packages = model.obs
+                except:
+                    obs_packages = [model.obs]
+                for obs_package_instance in obs_packages:
+                    remove_inactive_obs(obs_package_instance)
+
+            # write the model with flopy
+            # but skip the sfr package
+            # by monkey-patching the write method
+            def skip_write(**kwargs):
+                pass
+            if hasattr(model, 'sfr'):
+                model.sfr.write = skip_write
         self.simulation.write_simulation()
 
-        # write the sfr package with SFRmaker
-        if 'SFR' in ' '.join(self.get_package_list()):
-            options = []
-            for k, b in self.cfg['sfr']['options'].items():
-                if k == 'mover':
-                    if 'mvr' not in self.simulation.package_key_dict:
-                        continue
-                options.append(k)
-            if 'save_flows' in options:
-                budget_fileout = '{}.{}'.format(self.name,
-                                                self.cfg['sfr']['budget_fileout'])
-                stage_fileout = '{}.{}'.format(self.name,
-                                               self.cfg['sfr']['stage_fileout'])
-                options.append('budget fileout {}'.format(budget_fileout))
-                options.append('stage fileout {}'.format(stage_fileout))
-            if len(self.sfrdata.observations) > 0:
-                options.append('obs6 filein {}.{}'.format(self.name,
-                                                          self.cfg['sfr']['obs6_filein_fmt'])
-                               )
-            self.sfrdata.write_package(idomain=self.idomain,
-                                       version='mf6',
-                                       options=options,
-                                       external_files_path=self.external_path
-                                       )
+        # post-flopy write actions
+        for model_name, model in self.simulation.model_dict.items():
+            # write the sfr package with SFRmaker
+            if 'SFR' in ' '.join(model.get_package_list()):
+                options = []
+                for k, b in model.cfg['sfr']['options'].items():
+                    if k == 'mover':
+                        if 'mvr' not in model.simulation.package_key_dict:
+                            continue
+                    options.append(k)
+                if 'save_flows' in options:
+                    budget_fileout = '{}.{}'.format(model_name,
+                                                    model.cfg['sfr']['budget_fileout'])
+                    stage_fileout = '{}.{}'.format(model_name,
+                                                model.cfg['sfr']['stage_fileout'])
+                    options.append('budget fileout {}'.format(budget_fileout))
+                    options.append('stage fileout {}'.format(stage_fileout))
+                if len(model.sfrdata.observations) > 0:
+                    options.append('obs6 filein {}.{}'.format(model_name,
+                                                            model.cfg['sfr']['obs6_filein_fmt'])
+                                )
+                model.sfrdata.write_package(idomain=model.idomain,
+                                        version='mf6',
+                                        options=options,
+                                        external_files_path=model.external_path
+                                        )
+            # add version info to package file headers
+            files = [model.namefile]
+            files += [p.filename for p in model.packagelist]
+            files += [p[0].filename for k, p in model.simulation.package_key_dict.items()]
+            for f in files:
+                add_version_to_fileheader(f, model_info=model.header)
+
+            if not model.cfg['mfsetup_options']['keep_original_arrays']:
+                shutil.rmtree(model.tmpdir)
 
         # label stress periods in tdis file with comments
         self.perioddata.sort_values(by='per', inplace=True)
         add_date_comments_to_tdis(self.simulation.tdis.filename,
                                   self.perioddata.start_datetime,
                                   self.perioddata.end_datetime
-                                  )
-        # add version info to file headers
-        files = [self.namefile]
-        files += [p.filename for p in self.packagelist]
-        files += [p[0].filename for k, p in self.simulation.package_key_dict.items()]
-        for f in files:
-            add_version_to_fileheader(f, model_info=self.header)
+                                  )

 
-        if not self.cfg['mfsetup_options']['keep_original_arrays']:
-            shutil.rmtree(self.tmpdir)

 
 
 
@@ -1294,7 +1306,7 @@ 
Source code for mfsetup.mf6model
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/_modules/mfsetup/mfmodel.html b/latest/_modules/mfsetup/mfmodel.html
index 82a36b29..f9ff80c3 100644
--- a/latest/_modules/mfsetup/mfmodel.html
+++ b/latest/_modules/mfsetup/mfmodel.html
@@ -3,7 +3,7 @@
 
   
   
-  mfsetup.mfmodel — modflow-setup 0.5.0.post19+g85b7816 documentation
+  mfsetup.mfmodel — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -14,7 +14,7 @@
     
   
   
-        
+        
         
         
         
@@ -37,7 +37,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -1986,7 +1986,7 @@ 
Source code for mfsetup.mfmodel
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/_modules/mfsetup/mfnwtmodel.html b/latest/_modules/mfsetup/mfnwtmodel.html
index 945adb19..eeab624f 100644
--- a/latest/_modules/mfsetup/mfnwtmodel.html
+++ b/latest/_modules/mfsetup/mfnwtmodel.html
@@ -3,7 +3,7 @@
 
   
   
-  mfsetup.mfnwtmodel — modflow-setup 0.5.0.post19+g85b7816 documentation
+  mfsetup.mfnwtmodel — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -14,7 +14,7 @@
     
   
   
-        
+        
         
         
         
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             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -1039,7 +1039,7 @@ 
Source code for mfsetup.mfnwtmodel
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/_modules/mfsetup/tdis.html b/latest/_modules/mfsetup/tdis.html
index 6aeda151..f665826e 100644
--- a/latest/_modules/mfsetup/tdis.html
+++ b/latest/_modules/mfsetup/tdis.html
@@ -3,7 +3,7 @@
 
   
   
-  mfsetup.tdis — modflow-setup 0.5.0.post19+g85b7816 documentation
+  mfsetup.tdis — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -14,7 +14,7 @@
     
   
   
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+        
         
         
         
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             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -1013,7 +1013,7 @@ 
Source code for mfsetup.tdis
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/_modules/mfsetup/tmr.html b/latest/_modules/mfsetup/tmr.html
index 8080670b..5591d224 100644
--- a/latest/_modules/mfsetup/tmr.html
+++ b/latest/_modules/mfsetup/tmr.html
@@ -3,7 +3,7 @@
 
   
   
-  mfsetup.tmr — modflow-setup 0.5.0.post19+g85b7816 documentation
+  mfsetup.tmr — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -14,7 +14,7 @@
     
   
   
-        
+        
         
         
         
@@ -37,7 +37,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -1100,7 +1100,7 @@ 
Source code for mfsetup.tmr
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/_sources/notebooks/Pleasant_lake_lgr_example.ipynb.txt b/latest/_sources/notebooks/Pleasant_lake_lgr_example.ipynb.txt
index 36e61c19..c6b1c388 100644
--- a/latest/_sources/notebooks/Pleasant_lake_lgr_example.ipynb.txt
+++ b/latest/_sources/notebooks/Pleasant_lake_lgr_example.ipynb.txt
@@ -40,10 +40,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-08-08T20:29:03.480828Z",
-     "iopub.status.busy": "2024-08-08T20:29:03.480664Z",
-     "iopub.status.idle": "2024-08-08T20:29:04.738742Z",
-     "shell.execute_reply": "2024-08-08T20:29:04.738297Z"
+     "iopub.execute_input": "2024-08-27T22:05:36.447317Z",
+     "iopub.status.busy": "2024-08-27T22:05:36.446882Z",
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+     "shell.execute_reply": "2024-08-27T22:05:37.687526Z"
     }
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    "outputs": [],
@@ -81,10 +81,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-08-08T20:29:04.741300Z",
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-     "shell.execute_reply": "2024-08-08T20:29:05.745220Z"
+     "iopub.execute_input": "2024-08-27T22:05:37.690570Z",
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     }
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    "outputs": [],
@@ -106,10 +106,10 @@
    "execution_count": 3,
    "metadata": {
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+     "iopub.status.busy": "2024-08-27T22:05:38.712682Z",
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     }
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    "outputs": [
@@ -139,10 +139,10 @@
    "execution_count": 4,
    "metadata": {
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-     "shell.execute_reply": "2024-08-08T20:29:05.787081Z"
+     "iopub.execute_input": "2024-08-27T22:05:38.746324Z",
+     "iopub.status.busy": "2024-08-27T22:05:38.745997Z",
+     "iopub.status.idle": "2024-08-27T22:05:38.750141Z",
+     "shell.execute_reply": "2024-08-27T22:05:38.749666Z"
     }
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    "outputs": [
@@ -180,10 +180,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-08-08T20:29:05.789547Z",
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-     "shell.execute_reply": "2024-08-08T20:29:05.792360Z"
+     "iopub.execute_input": "2024-08-27T22:05:38.751987Z",
+     "iopub.status.busy": "2024-08-27T22:05:38.751668Z",
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@@ -215,10 +215,10 @@
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-     "shell.execute_reply": "2024-08-08T20:29:06.713430Z"
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    "outputs": [
@@ -237,7 +237,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "finished in 0.18s\n",
+      "finished in 0.17s\n",
       "\n"
      ]
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@@ -266,10 +266,10 @@
    "execution_count": 7,
    "metadata": {
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@@ -289,10 +289,10 @@
    "execution_count": 8,
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    "outputs": [],
@@ -313,17 +313,17 @@
    "execution_count": 9,
    "metadata": {
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-     "shell.execute_reply": "2024-08-08T20:29:15.288711Z"
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+     "shell.execute_reply": "2024-08-27T22:05:48.348418Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "Pleasant Lake test case version 0.1.post19+g85b7816\n",
+       "Pleasant Lake test case version 0.1.post22+g0215fb8\n",
        "Parent model: /home/runner/work/modflow-setup/modflow-setup/examples/data/pleasant/pleasant\n",
        "5 layer(s), 25 row(s), 25 column(s)\n",
        "delr: [200.00...200.00] undefined\n",
@@ -363,10 +363,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-08-08T20:29:15.291312Z",
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-     "shell.execute_reply": "2024-08-08T20:29:15.293854Z"
+     "iopub.execute_input": "2024-08-27T22:05:48.350933Z",
+     "iopub.status.busy": "2024-08-27T22:05:48.350621Z",
+     "iopub.status.idle": "2024-08-27T22:05:48.354111Z",
+     "shell.execute_reply": "2024-08-27T22:05:48.353657Z"
     }
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    "outputs": [
@@ -397,10 +397,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-08-08T20:29:15.296239Z",
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-     "shell.execute_reply": "2024-08-08T20:29:15.300294Z"
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+     "shell.execute_reply": "2024-08-27T22:05:48.359156Z"
     }
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    "outputs": [
@@ -457,17 +457,17 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-08-08T20:29:15.302870Z",
-     "iopub.status.busy": "2024-08-08T20:29:15.302596Z",
-     "iopub.status.idle": "2024-08-08T20:29:15.309414Z",
-     "shell.execute_reply": "2024-08-08T20:29:15.308979Z"
+     "iopub.execute_input": "2024-08-27T22:05:48.361446Z",
+     "iopub.status.busy": "2024-08-27T22:05:48.361170Z",
+     "iopub.status.idle": "2024-08-27T22:05:48.367666Z",
+     "shell.execute_reply": "2024-08-27T22:05:48.367264Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'plsnt_lgr_inset': plsnt_lgr_inset model version 0.5.0.post19+g85b7816\n",
+       "{'plsnt_lgr_inset': plsnt_lgr_inset model version 0.5.0.post22+g0215fb8\n",
        " Parent model: ./plsnt_lgr_parent\n",
        " 5 layer(s), 75 row(s), 85 column(s)\n",
        " delr: [40.00...40.00] undefined\n",
@@ -507,17 +507,17 @@
    "execution_count": 13,
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-     "shell.execute_reply": "2024-08-08T20:29:15.478007Z"
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+     "shell.execute_reply": "2024-08-27T22:05:48.534621Z"
     }
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    "outputs": [
     {
      "data": {
       "text/plain": [
-       ""
+       ""
       ]
      },
      "execution_count": 13,
@@ -526,7 +526,7 @@
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     {
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",
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",
       "text/plain": [
        "
"
       ]
@@ -575,16 +575,16 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-08-08T20:29:15.480796Z",
-     "iopub.status.busy": "2024-08-08T20:29:15.480457Z",
-     "iopub.status.idle": "2024-08-08T20:29:15.765128Z",
-     "shell.execute_reply": "2024-08-08T20:29:15.764585Z"
+     "iopub.execute_input": "2024-08-27T22:05:48.537249Z",
+     "iopub.status.busy": "2024-08-27T22:05:48.536887Z",
+     "iopub.status.idle": "2024-08-27T22:05:48.824679Z",
+     "shell.execute_reply": "2024-08-27T22:05:48.824155Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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dOnVqd1DiVON0q8fxGqeWi0d6Lm5hJwhGa54Oj6qqqvy9TtzM98LcCy/QvTBHoL2o8oCPE1VqbggR463RuFVeeIEKIP5Ea1fKaARMoaqGnOyXE62+VkAoVoJgt6iurlZRUVGspxHA0+HRjh07Yj0FW6y8GXGLYJ9Suwlv1uE0qjwSm5UqNa9VJ1kNRX2PHQDQfuHsSulUwBQqXLLTi8iJfjmA23jhQyiWrTmssLDQ9T906V8vzIO9eHcLO59Su4mXPjGHdyVqlUciipfG3D6hqu7KysqCzonQE8AXWe11g9bC7WPjxPI4O72IIt0vB4B3eDo86t+/v+vLzXzKyspCvnh3i1CfUrsJn5gjFuJtO3nY48XG3MF4bameVezIBkSGnaqVEydOeOKDXreJ1vI4K72IAMDH0+ERIscrQZcU+hNzt/DCHOGMSFetSPw+uUG8NOZ2Yqmem34f2ZENiCxfxZGVqhV63UROOMvj+PkAaA/CI3ianTfibuGlT+7hPHZ+SyxeaswdL/2+2JENiI5evXpRteJibtqFC0B8sBUerVixQitWrNCRI0ckSYMGDdLPf/5zTZw4UZJkGIYWL16s3/72t6qvr9eIESP0m9/8RoMGDfLfR3NzsxYsWKDnn39eZ8+e1dixY/Xkk0+qT58+zj0qJAwrb8TdgiV2+CJ2fktsXmvM7WS/r2gFTF5ohgnA/Ly3sluxnTEAgPDYCo/69OmjRx99VAMGDJAkrV69WpMmTdK7776rQYMG6bHHHtOvf/1rPf300/rqV7+qX/ziFxo/frwOHjyotLQ0SdLcuXP1l7/8RevWrVPPnj01f/583XzzzSovL1eHDh2cf4RICF5ZZueV6ii4Q7xUgsCc1xpzh9Pvi4o6AF/U1NQkKfRznJXnQDc9TwJAvLIVHt1yyy0Blx9++GGtWLFCO3fu1BVXXKEnnnhC999/vyZPnizpn+FSdna21q5dq3vvvVcNDQ1auXKlnn32WY0bN06S9NxzzykvL0+bNm3S9ddf79DDAoD4xs5v8c+LjbmpqANgVWpqqiTz5zgruxVbGWP1eZIPW2BVONVw/C7By9rd8+jChQt64YUXdPr0aRUWFqqqqkq1tbWaMGGCf0xKSopGjRql7du3695771V5eblaWloCxvTu3Vv5+fnavn074REA2MTOb/HPicbcblou60S1lVNhGDuyAZFl5U12sOcEK7sVWxkT7HnSjctuE1G0li+Gc5zDhw9LcqYazsrvkhseM0tD8UW2w6N9+/apsLBQTU1Nuvjii1VSUqIrrrhC27dvlyRlZ2cHjM/OztaHH34oSaqtrVVycrJ69OjRakxtba3pMZubm9Xc3Oy/3NjYaHfagGt44QnWC3OENU4ti6I6yd1Cvfnyyou+UNVWToVh7MgGRJbVJWmSOyojnVx2G2p5nFeej53kRCDj1PJFJ44zZMgQfxuXLwtVDWfnd8lNj9nKGN95j/hlOzy6/PLLtWfPHp04cUIvvvii7rnnHm3dutV/e1JSUsB4wzBaXfdlocYUFxdr8eLFAdcVFRXZnToQU+wMB7eJty3a0ZpXA8JIh2HsyAZEVqglaZL7KiPDXXZrNRQIpz+T5OzfXTdV6pgFMk4tXww1xs59DBgwIKxqOKuV4W56zFbGHD9+3LSS3S143Roe2+FRcnKy/8QuKCjQrl27tHTpUv30pz+V9M/qoi/ubnL8+HF/NVJOTo7OnTun+vr6gOqj48ePa+TIkabHXLhwoebNm+e/3NjYqJUrV9qdOhBT7AwHt6Ixd/zy2q5uoTgdhrEjG9BadXW1vzqvLfX19Zbvy8qSMy9xYhmxGyqcnFx+5VSlTrBAxqnli6HGWL0PJ0Tj8VgZ48R98AF54mh3zyMfwzDU3Nys/v37KycnR6WlpRo6dKgk6dy5c9q6dat++ctfSpKGDx+uTp06qbS0VFOmTJEk1dTUaP/+/XrsscdMj5GSkqKUlJRwpwq4AjvDwUtozB0f4mX5op0wjPAbsK+urk6rVq2yNLahoYHwtQ3hvlGPZoVTOMuvnK7UgXfxAXnisBUe3XfffZo4caLy8vJ08uRJrVu3Tlu2bNHGjRuVlJSkuXPn6pFHHtHAgQM1cOBAPfLII+rSpYvuvvtuSVJ6erpmzJih+fPnq2fPnsrIyNCCBQs0ePBg/+5rAAD3oTF3/PJiIBNv1QyAW/iWaY4ZM6ZVj1If3/PB4cOH/UtA2xqD9ot0hZNTy6+iWakD9+MD8vhnKzw6duyYpk2bppqaGqWnp2vIkCHauHGjxo8fL0n6yU9+orNnz+qHP/yh6uvrNWLECL3++utKS0vz38eSJUvUsWNHTZkyRWfPntXYsWP19NNPq0OHDs4+MgBA1DhV2RKqDB+RY+UNAFsPA4lh4MCBplVFXqpWjGeEOkD7eeF1S01NTayn0Iqt8ChUn6GkpCQVFRUFbWadmpqqZcuWadmyZXYODQDwKCuVLVbL8HkjEhtW3yy66eeTiDsaAdHgxWpFAJC82Z/JTcLueQQAgBVOlOGz9C02Qr1ZdNPPh6oIIDqobAHgNV7qz+T5yiMAicUrb8a9Mk+EZvZmxImlbxK/K+Fy4ucT6cDG6aqIyspKffrpp23elp6e7voXnwAAIJAX+jOlpqbGegqtEB4BaMWrJZ1UEcQvJ5e+SfRWcpobl7GEWxXh26p88+bNQcfNnj1bPXv2tD9BAAAADyE8AtCKl0o6JXorJJJobXFMENk+4TTdlqIf3lmZi9nvU319vTZv3uzfnQoAACCeER4BMOWFkk4fL1VIIbLoreROblraZmcuvXr1avP3qaamJmRVEuBG1dXV/sq6L6uvr4/ybMyfU33XWwl5wxnj9HEAIF4RHgGIG2wjDqvorRR9blra5qa5ANFUV1enVatWhRx34sQJ5ebmRnQuTU1NkkI/31p5PnZijFPHCbUsmpAqtrwUVgJuQ3gEwPOsvgBlKRJCcbq3Er9zrYWztM3pF9RO7BYVrKG2RFNtuItvmeWYMWPUo0ePVrf7QtPz5887crxg5+zx48clhd7F0UrIG84Yp45j9W+D10IqL4UtwcYcPnxYkrfCSisfUjnxfwtYRXgEwPN8uxGwFAlOCbe3UqjfOX7f2ma18ssNoZzVhtoSTbURPcGWpEn/WpY2cOBA08oiJ5aBW/1QRzJfGur7fishb7hjnDqOlWXRXgupvBS2WBkzZMgQDRgwoNX1bgor7XxI5cT/C5XUsIrwCEDcYCkSoinYmwirv3P8vgUKVfnlpqVkLS0tkoJXqfmaah84cKDNKg8fqpMiI1SQIv0z5Ai1HbJbfj6hHs+pU6f0+uuvW7qvSC9LC/WhjuSu89lJ8RJSRatiK9rHGTBggCfCSqsfUoUzxoldan3HQWIgPAIQ99jmHdEW6neOpW/BhXrR7aZeEcHm+v7770uyVp00fvx4paWltXmblYDDiTHxdBw7QYoVsf752Hk8I0aM0CWXXNLmbU4uS7NyHjqxNBRti0ZIFa2KrWgex0ui8X/r1C61vrFux2v18BAeAUgY0drmnU9n4BPOCzaWW7bmph3brLBSnfTxxx/rnXfeUWlpaTSnljCsBCle+vlYeTyXXHJJRN9A21mS5obzEEBw4b4+PnTokCoqKrR3717t3bs3UtN0FM9N7UN4BABfEM4fUMp/YZcTS9++ODbe2dklzU2hW6jnFSl+mga77ThWghQv/XwiHQx98XhmQjW69n1/PC5JAxJVqOfJioqKoM8JbsFzU3gIjwDApmiV/yZKIIC2ORGUxGsQGY+hW7wtDXHLcZwSb4/HjFONrn33ASBxWAni3YDnpvYjPAIAh0V6py7fGCQGJ4ISN4UkkWYndOOTRyQqs78hVBUBAMwQHgFADDhVOUHz7sTmpd3Jos1KlYebGm8nGv7vY8NqZRFVRQDimRf+ztTU1MR6Cq0QHgGAyzi5Oxy9lRKDl3YncwOvLm2LBiu/K+GM8e3GE044buU4Tsw11G1e5NvNjcAZQCKy8/cfrREeAYBL0bwb4SIkaZsbl7ZFKwRxItRxYsyQIUM0YMAA07lYff4KdRynHk+oKs9I/3ycPk6seysBQCxY+fvvFlQeAQAcFa3m3SyP8yY3hiRuEs7SNqfezFsNbdwQ6ji5a9iAAQMc6Q0X6V3QrD5PRuvn49RxEiksBoAv80Jzb1+lqJsQHgFAHAu3eTfL4+KDlZAEgaxWbTn1Zt4stIn2VvChQp1o7hrmll3dgj1PRvvn49RxEjEsBgCEh/AIABIcy+MgJVbfFyusNiN36s18sNAmnraC96pohFTRCsP4OQMA2oPwCAAQEsvj4hd9kYLjzTwAAADhEQDAAdFaHpeI4UWk0RcJAAAAoRAeAQCiwom+Ip988on27dvX5vdTnRQeJ5pHAwAAID4RHgEAXMMswLCztIreSs6z+v9PZRgAAEB8IjwCALielaVV9FaKHKvNo1nWBgAAEJ8IjwAAnhGt3kpUL7WNnboAAAASE+ERACCuhBMwOVG9JCVuwBTscSfq/wkAAEA8IDwCACScYAGTU9VLUuL0ALLTkypR/k8AAADiCeERAABfEu7yuFC7w8VbFY6VnlT0RQKA6LFSCRrOGCfuw+njAIgswiMAANohWMBktRIn3pa+hQrdysrKeAMAwLO8ELYcPnxYkrVKUCfGuOk4Vv6mhvr5ADBHeAQAgMNCVeIk4tI3lrYBcLNg4YGTgUy0wpYhQ4ZowIABbd7mqwS1Ui0aapfNcO7DqePY+ZvqxIc6fAiCREV4BABAhITTWynU0jffGK9gaRuASIlWpU44gUy0w5YBAwaErAS1Ui0aapfNcO/DqeNY/ZvqxIc64VRBEUDBywiPAACIESeWvkmhX6S6SThL29z4eACEJ5xlXk5WBFkJhsINZKIZtiSicP/fwg2gJOshlFPL8IBoIjwCAMCFrFTqWH2R6pVlYFYDM688HiDRORH8RKsiyEowhPjnRLgXLIRyehkeAROiifAIAAA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       "text/plain": [
        "
"
       ]
@@ -621,10 +621,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-08-08T20:29:15.767205Z",
-     "iopub.status.busy": "2024-08-08T20:29:15.766868Z",
-     "iopub.status.idle": "2024-08-08T20:29:16.303530Z",
-     "shell.execute_reply": "2024-08-08T20:29:16.303056Z"
+     "iopub.execute_input": "2024-08-27T22:05:48.826951Z",
+     "iopub.status.busy": "2024-08-27T22:05:48.826488Z",
+     "iopub.status.idle": "2024-08-27T22:05:49.502150Z",
+     "shell.execute_reply": "2024-08-27T22:05:49.501663Z"
     }
    },
    "outputs": [
@@ -674,7 +674,7 @@
       "    writing package obs_1...\n",
       "SFRmaker v. 0.11.2.post3+gee5d4d4\n",
       "\n",
-      "Running Flopy v. 3.8.0.dev0 diagnostics...\n",
+      "Running Flopy v. 3.9.0.dev0 diagnostics...\n",
       "passed.\n",
       "\n",
       "Checking for continuity in segment and reach numbering...\n",
@@ -735,7 +735,77 @@
       "wrote plsnt_lgr_parent.sfr.obs\n",
       "converting reach and segment data to package data...\n",
       "wrote /home/runner/work/modflow-setup/modflow-setup/examples/pleasant_lgr/external/plsnt_lgr_parent_packagedata.dat\n",
-      "wrote /home/runner/work/modflow-setup/modflow-setup/examples/pleasant_lgr/plsnt_lgr_parent.sfr\n"
+      "wrote /home/runner/work/modflow-setup/modflow-setup/examples/pleasant_lgr/plsnt_lgr_parent.sfr\n",
+      "SFRmaker v. 0.11.2.post3+gee5d4d4\n",
+      "\n",
+      "Running Flopy v. 3.9.0.dev0 diagnostics...\n",
+      "passed.\n",
+      "\n",
+      "Checking for continuity in segment and reach numbering...\n",
+      "passed.\n",
+      "\n",
+      "Checking for increasing segment numbers in downstream direction...\n",
+      "passed.\n",
+      "\n",
+      "Checking for circular routing...\n",
+      "passed.\n",
+      "\n",
+      "Checking reach connections for proximity...\n",
+      "0 segments with non-adjacent reaches found.\n",
+      "At segments:\n",
+      "\n",
+      "\n",
+      "0 segments with non-adjacent reaches found.\n",
+      "At segments:\n",
+      "\n",
+      "\n",
+      "\n",
+      "Checking for model cells with multiple non-zero SFR conductances...\n",
+      "1 model cells with multiple non-zero SFR conductances found.\n",
+      "This may lead to circular routing between collocated reaches.\n",
+      "Nodes with overlapping conductances:\n",
+      "k\ti\tj\tiseg\tireach\trchlen\tstrthick\tstrhc1\n",
+      "0\t27\t71\t1\t12\t13.225701332092285\t1.0\t1.0\n",
+      "0\t27\t71\t1\t13\t26.684703826904297\t1.0\t1.0\n",
+      "\n",
+      "Checking for streambed tops of less than -10...\n",
+      "isfropt setting of 1,2 or 3 requires strtop information!\n",
+      "\n",
+      "\n",
+      "Checking for streambed tops of greater than 15000...\n",
+      "isfropt setting of 1,2 or 3 requires strtop information!\n",
+      "\n",
+      "\n",
+      "Checking segment_data for downstream rises in streambed elevation...\n",
+      "Segment elevup and elevdn not specified for nstrm=-41 and isfropt=1\n",
+      "passed.\n",
+      "\n",
+      "Checking reach_data for downstream rises in streambed elevation...\n",
+      "passed.\n",
+      "\n",
+      "Checking reach_data for inconsistencies between streambed elevations and the model grid...\n",
+      "passed.\n",
+      "\n",
+      "Checking segment_data for inconsistencies between segment end elevations and the model grid...\n",
+      "Segment elevup and elevdn not specified for nstrm=-41 and isfropt=1\n",
+      "passed.\n",
+      "\n",
+      "Checking for streambed slopes of less than 0.0001...\n",
+      "passed.\n",
+      "\n",
+      "Checking for streambed slopes of greater than 1.0...\n",
+      "passed.\n",
+      "\n",
+      "wrote plsnt_lgr_inset_SFR.chk\n",
+      "converting reach and segment data to package data...\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "wrote /home/runner/work/modflow-setup/modflow-setup/examples/pleasant_lgr/external/plsnt_lgr_inset_packagedata.dat\n",
+      "wrote /home/runner/work/modflow-setup/modflow-setup/examples/pleasant_lgr/plsnt_lgr_inset.sfr\n"
      ]
     }
    ],
@@ -757,10 +827,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-08-08T20:29:16.305381Z",
-     "iopub.status.busy": "2024-08-08T20:29:16.305225Z",
-     "iopub.status.idle": "2024-08-08T20:29:20.135775Z",
-     "shell.execute_reply": "2024-08-08T20:29:20.135290Z"
+     "iopub.execute_input": "2024-08-27T22:05:49.504204Z",
+     "iopub.status.busy": "2024-08-27T22:05:49.503886Z",
+     "iopub.status.idle": "2024-08-27T22:05:53.334357Z",
+     "shell.execute_reply": "2024-08-27T22:05:53.333849Z"
     }
    },
    "outputs": [
@@ -790,7 +860,7 @@
       "use of the software.\n",
       "\n",
       " \n",
-      " Run start date and time (yyyy/mm/dd hh:mm:ss): 2024/08/08 20:29:16\n",
+      " Run start date and time (yyyy/mm/dd hh:mm:ss): 2024/08/27 22:05:49\n",
       " \n",
       " Writing simulation list file: mfsim.lst\n",
       " Using Simulation name file: mfsim.nam\n",
@@ -887,8 +957,8 @@
      "output_type": "stream",
      "text": [
       " \n",
-      " Run end date and time (yyyy/mm/dd hh:mm:ss): 2024/08/08 20:29:20\n",
-      " Elapsed run time:  3.822 Seconds\n",
+      " Run end date and time (yyyy/mm/dd hh:mm:ss): 2024/08/27 22:05:53\n",
+      " Elapsed run time:  3.821 Seconds\n",
       " \n",
       " Normal termination of simulation.\n"
      ]
@@ -920,10 +990,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-08-08T20:29:20.137824Z",
-     "iopub.status.busy": "2024-08-08T20:29:20.137490Z",
-     "iopub.status.idle": "2024-08-08T20:29:20.151512Z",
-     "shell.execute_reply": "2024-08-08T20:29:20.151140Z"
+     "iopub.execute_input": "2024-08-27T22:05:53.336534Z",
+     "iopub.status.busy": "2024-08-27T22:05:53.336195Z",
+     "iopub.status.idle": "2024-08-27T22:05:53.349994Z",
+     "shell.execute_reply": "2024-08-27T22:05:53.349521Z"
     }
    },
    "outputs": [],
@@ -960,10 +1030,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-08-08T20:29:20.153568Z",
-     "iopub.status.busy": "2024-08-08T20:29:20.153260Z",
-     "iopub.status.idle": "2024-08-08T20:29:20.235386Z",
-     "shell.execute_reply": "2024-08-08T20:29:20.234901Z"
+     "iopub.execute_input": "2024-08-27T22:05:53.352200Z",
+     "iopub.status.busy": "2024-08-27T22:05:53.351781Z",
+     "iopub.status.idle": "2024-08-27T22:05:53.426269Z",
+     "shell.execute_reply": "2024-08-27T22:05:53.425723Z"
     }
    },
    "outputs": [],
@@ -1005,16 +1075,16 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-08-08T20:29:20.237651Z",
-     "iopub.status.busy": "2024-08-08T20:29:20.237471Z",
-     "iopub.status.idle": "2024-08-08T20:29:21.342246Z",
-     "shell.execute_reply": "2024-08-08T20:29:21.341694Z"
+     "iopub.execute_input": "2024-08-27T22:05:53.428922Z",
+     "iopub.status.busy": "2024-08-27T22:05:53.428589Z",
+     "iopub.status.idle": "2024-08-27T22:05:54.488887Z",
+     "shell.execute_reply": "2024-08-27T22:05:54.488352Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "
"
       ]
@@ -1117,10 +1187,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-08-08T20:29:21.344438Z",
-     "iopub.status.busy": "2024-08-08T20:29:21.344020Z",
-     "iopub.status.idle": "2024-08-08T20:29:47.411378Z",
-     "shell.execute_reply": "2024-08-08T20:29:47.410898Z"
+     "iopub.execute_input": "2024-08-27T22:05:54.490898Z",
+     "iopub.status.busy": "2024-08-27T22:05:54.490728Z",
+     "iopub.status.idle": "2024-08-27T22:06:20.700894Z",
+     "shell.execute_reply": "2024-08-27T22:06:20.700432Z"
     }
    },
    "outputs": [
@@ -1133,197 +1203,197 @@
       "creating postproc/plsnt_lgr_parent/rasters...\n",
       "\n",
       "dis package...\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/thickness_lay0.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/thickness_lay1.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/thickness_lay0.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/thickness_lay2.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/thickness_lay3.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/thickness_lay1.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/thickness_lay2.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/thickness_lay4.tif\n",
-      "top:\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/top.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/thickness_lay3.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/thickness_lay4.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "top:\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/top.tif\n",
       "botm:\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/botm_lay0.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/botm_lay1.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/botm_lay0.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/botm_lay2.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/botm_lay3.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/botm_lay1.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/botm_lay2.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/botm_lay4.tif\n",
-      "idomain:\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/idomain_lay0.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/botm_lay3.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/botm_lay4.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/idomain_lay1.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/idomain_lay2.tif\n"
+      "idomain:\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/idomain_lay0.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/idomain_lay1.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/idomain_lay3.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/idomain_lay4.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/idomain_lay2.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/idomain_lay3.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "wrote postproc/plsnt_lgr_parent/rasters/idomain_lay4.tif\n",
       "\n",
       "ic package...\n",
       "strt:\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/strt_lay0.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/strt_lay1.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/strt_lay0.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/strt_lay2.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/strt_lay3.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/strt_lay1.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/strt_lay2.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/strt_lay4.tif\n",
-      "\n",
-      "npf package...\n",
-      "icelltype:\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/icelltype_lay0.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/strt_lay3.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/strt_lay4.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/icelltype_lay1.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/icelltype_lay2.tif\n"
+      "\n",
+      "npf package...\n",
+      "icelltype:\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/icelltype_lay0.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/icelltype_lay1.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/icelltype_lay3.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/icelltype_lay4.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/icelltype_lay2.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/icelltype_lay3.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "wrote postproc/plsnt_lgr_parent/rasters/icelltype_lay4.tif\n",
       "k:\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/k_lay0.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/k_lay1.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/k_lay0.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/k_lay2.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/k_lay3.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/k_lay1.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/k_lay2.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/k_lay4.tif\n",
-      "k33:\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/k33_lay0.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/k_lay3.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/k_lay4.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/k33_lay1.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/k33_lay2.tif\n"
+      "k33:\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/k33_lay0.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/k33_lay1.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/k33_lay3.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/k33_lay4.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/k33_lay2.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/k33_lay3.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "wrote postproc/plsnt_lgr_parent/rasters/k33_lay4.tif\n",
       "\n",
       "sto package...\n",
       "iconvert:\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/iconvert_lay0.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/iconvert_lay1.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/iconvert_lay0.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/iconvert_lay2.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/iconvert_lay3.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/iconvert_lay1.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/iconvert_lay2.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/iconvert_lay4.tif\n",
-      "ss:\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/ss_lay0.tif\n"
+      "wrote postproc/plsnt_lgr_parent/rasters/iconvert_lay3.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/iconvert_lay4.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_parent/rasters/ss_lay1.tif\n",
-      "wrote postproc/plsnt_lgr_parent/rasters/ss_lay2.tif\n"
+      "ss:\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/ss_lay0.tif\n",
+      "wrote postproc/plsnt_lgr_parent/rasters/ss_lay1.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "wrote postproc/plsnt_lgr_parent/rasters/ss_lay2.tif\n",
       "wrote postproc/plsnt_lgr_parent/rasters/ss_lay3.tif\n"
      ]
     },
@@ -1579,30 +1649,30 @@
       "\n",
       "npf package...\n",
       "icelltype:\n",
-      "wrote postproc/plsnt_lgr_inset/rasters/icelltype_lay0.tif\n",
-      "wrote postproc/plsnt_lgr_inset/rasters/icelltype_lay1.tif\n"
+      "wrote postproc/plsnt_lgr_inset/rasters/icelltype_lay0.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_inset/rasters/icelltype_lay2.tif\n",
-      "wrote postproc/plsnt_lgr_inset/rasters/icelltype_lay3.tif\n"
+      "wrote postproc/plsnt_lgr_inset/rasters/icelltype_lay1.tif\n",
+      "wrote postproc/plsnt_lgr_inset/rasters/icelltype_lay2.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_inset/rasters/icelltype_lay4.tif\n",
-      "k:\n"
+      "wrote postproc/plsnt_lgr_inset/rasters/icelltype_lay3.tif\n",
+      "wrote postproc/plsnt_lgr_inset/rasters/icelltype_lay4.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "k:\n",
       "wrote postproc/plsnt_lgr_inset/rasters/k_lay0.tif\n",
       "wrote postproc/plsnt_lgr_inset/rasters/k_lay1.tif\n"
      ]
@@ -1620,57 +1690,57 @@
      "output_type": "stream",
      "text": [
       "wrote postproc/plsnt_lgr_inset/rasters/k_lay4.tif\n",
-      "k33:\n",
-      "wrote postproc/plsnt_lgr_inset/rasters/k33_lay0.tif\n"
+      "k33:\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_inset/rasters/k33_lay1.tif\n",
-      "wrote postproc/plsnt_lgr_inset/rasters/k33_lay2.tif\n"
+      "wrote postproc/plsnt_lgr_inset/rasters/k33_lay0.tif\n",
+      "wrote postproc/plsnt_lgr_inset/rasters/k33_lay1.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_inset/rasters/k33_lay3.tif\n",
-      "wrote postproc/plsnt_lgr_inset/rasters/k33_lay4.tif\n"
+      "wrote postproc/plsnt_lgr_inset/rasters/k33_lay2.tif\n",
+      "wrote postproc/plsnt_lgr_inset/rasters/k33_lay3.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "wrote postproc/plsnt_lgr_inset/rasters/k33_lay4.tif\n",
       "\n",
       "sto package...\n",
       "iconvert:\n",
-      "wrote postproc/plsnt_lgr_inset/rasters/iconvert_lay0.tif\n",
-      "wrote postproc/plsnt_lgr_inset/rasters/iconvert_lay1.tif\n"
+      "wrote postproc/plsnt_lgr_inset/rasters/iconvert_lay0.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_inset/rasters/iconvert_lay2.tif\n",
-      "wrote postproc/plsnt_lgr_inset/rasters/iconvert_lay3.tif\n"
+      "wrote postproc/plsnt_lgr_inset/rasters/iconvert_lay1.tif\n",
+      "wrote postproc/plsnt_lgr_inset/rasters/iconvert_lay2.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "wrote postproc/plsnt_lgr_inset/rasters/iconvert_lay4.tif\n",
-      "ss:\n"
+      "wrote postproc/plsnt_lgr_inset/rasters/iconvert_lay3.tif\n",
+      "wrote postproc/plsnt_lgr_inset/rasters/iconvert_lay4.tif\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "ss:\n",
       "wrote postproc/plsnt_lgr_inset/rasters/ss_lay0.tif\n",
       "wrote postproc/plsnt_lgr_inset/rasters/ss_lay1.tif\n"
      ]
@@ -1762,10 +1832,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-08-08T20:29:47.413380Z",
-     "iopub.status.busy": "2024-08-08T20:29:47.413206Z",
-     "iopub.status.idle": "2024-08-08T20:29:48.986899Z",
-     "shell.execute_reply": "2024-08-08T20:29:48.986398Z"
+     "iopub.execute_input": "2024-08-27T22:06:20.703020Z",
+     "iopub.status.busy": "2024-08-27T22:06:20.702694Z",
+     "iopub.status.idle": "2024-08-27T22:06:22.314793Z",
+     "shell.execute_reply": "2024-08-27T22:06:22.314319Z"
     }
    },
    "outputs": [
diff --git a/latest/_static/documentation_options.js b/latest/_static/documentation_options.js
index f1277ee1..38349889 100644
--- a/latest/_static/documentation_options.js
+++ b/latest/_static/documentation_options.js
@@ -1,5 +1,5 @@
 const DOCUMENTATION_OPTIONS = {
-    VERSION: '0.5.0.post19+g85b7816',
+    VERSION: '0.5.0.post22+g0215fb8',
     LANGUAGE: 'en',
     COLLAPSE_INDEX: false,
     BUILDER: 'html',
diff --git a/latest/_static/pleasant_lgr.png b/latest/_static/pleasant_lgr.png
index fd98f2e7882035f70187e4e8ca312cd5971568b9..e878e251b5db48c49cc7c23f5bb11c3488130360 100644
GIT binary patch
delta 43
zcmbPtg>l{$#t9yBMmh=^B_##LR{Hw6i6sR&`6W4-NqYH3>H3O(%r`ft?Z^ZGW?T@4

delta 43
zcmbPtg>l{$#t9yBhB^uvB_##LR{Hw6i6sR&`6W4-NqYH3>H3!?-zjcP+mQ(XY(Wt<

diff --git a/latest/_static/pleasant_lgr_xsection.png b/latest/_static/pleasant_lgr_xsection.png
index 0f3fc404cd407e7c734e304bbdbb5f852225d10b..82776d39df998979b5409203f3495229531d9a99 100644
GIT binary patch
delta 43
zcmX>H3O(%r`ftW%>aCWFHU^

delta 43
zcmX>H3!?-zjcP%k%>PY6K9!

diff --git a/latest/_static/pleasant_vlgr_xsection.png b/latest/_static/pleasant_vlgr_xsection.png
index 51efea6d5f7b1d4c3e34bb337c9ec345dc9593cd..71faef6d983f04abff51621ea358b196f9f95037 100644
GIT binary patch
delta 43
zcmeyjmhsH3O(%r`ft%?JYkc+wEX

delta 43
zcmeyjmhsH3!?-zjcPn-K;8ezy^H

diff --git a/latest/api/index.html b/latest/api/index.html
index e992e8cd..d68ebe2f 100644
--- a/latest/api/index.html
+++ b/latest/api/index.html
@@ -4,7 +4,7 @@
   
 
   
-  Code Reference — modflow-setup 0.5.0.post19+g85b7816 documentation
+  Code Reference — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -15,7 +15,7 @@
     
   
   
-        
+        
         
         
         
@@ -40,7 +40,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 
 
diff --git a/latest/api/mfsetup.discretization.html b/latest/api/mfsetup.discretization.html
index 7c94e9bf..eb128f3c 100644
--- a/latest/api/mfsetup.discretization.html
+++ b/latest/api/mfsetup.discretization.html
@@ -4,7 +4,7 @@
   
 
   
-  mfsetup.discretization module — modflow-setup 0.5.0.post19+g85b7816 documentation
+  mfsetup.discretization module — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -15,7 +15,7 @@
     
   
   
-        
+        
         
         
         
@@ -40,7 +40,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -145,7 +145,7 @@
 

 

 class mfsetup.discretization.ModflowGwfdis(*args, **kwargs)[source]¶

-
Bases: ModflowGwfdis

+
Bases: ModflowGwfdis

 

 

 property thickness¶

@@ -580,7 +580,7 @@
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/api/mfsetup.fileio.html b/latest/api/mfsetup.fileio.html
index 8616d708..06e213ce 100644
--- a/latest/api/mfsetup.fileio.html
+++ b/latest/api/mfsetup.fileio.html
@@ -4,7 +4,7 @@
   
 
   
-  mfsetup.fileio module — modflow-setup 0.5.0.post19+g85b7816 documentation
+  mfsetup.fileio module — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -15,7 +15,7 @@
     
   
   
-        
+        
         
         
         
@@ -40,7 +40,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -369,7 +369,7 @@
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/api/mfsetup.grid.html b/latest/api/mfsetup.grid.html
index dc3c49d4..1b4dcef6 100644
--- a/latest/api/mfsetup.grid.html
+++ b/latest/api/mfsetup.grid.html
@@ -4,7 +4,7 @@
   
 
   
-  mfsetup.grid module — modflow-setup 0.5.0.post19+g85b7816 documentation
+  mfsetup.grid module — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -15,7 +15,7 @@
     
   
   
-        
+        
         
         
         
@@ -40,7 +40,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -142,7 +142,7 @@
 

 

 class mfsetup.grid.MFsetupGrid(delc, delr, top=None, botm=None, idomain=None, laycbd=None, lenuni=None, binary_grid_file=None, epsg=None, proj_str=None, prj=None, wkt=None, crs=None, xoff=0.0, yoff=0.0, xul=None, yul=None, angrot=0.0)[source]¶

-
Bases: StructuredGrid

+
Bases: StructuredGrid

 
Class representing a structured grid. Extends flopy.discretization.StructuredGrid
 to facilitate gis operations in a projected (real-word) coordinate reference system (CRS).

 

@@ -788,7 +788,7 @@
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/api/mfsetup.interpolate.html b/latest/api/mfsetup.interpolate.html
index de977609..e2b76d46 100644
--- a/latest/api/mfsetup.interpolate.html
+++ b/latest/api/mfsetup.interpolate.html
@@ -4,7 +4,7 @@
   
 
   
-  mfsetup.interpolate module — modflow-setup 0.5.0.post19+g85b7816 documentation
+  mfsetup.interpolate module — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -15,7 +15,7 @@
     
   
   
-        
+        
         
         
         
@@ -40,7 +40,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -341,7 +341,7 @@
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/api/mfsetup.mf6model.html b/latest/api/mfsetup.mf6model.html
index 3956c72c..25a15a2a 100644
--- a/latest/api/mfsetup.mf6model.html
+++ b/latest/api/mfsetup.mf6model.html
@@ -4,7 +4,7 @@
   
 
   
-  MF6model class — modflow-setup 0.5.0.post19+g85b7816 documentation
+  MF6model class — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -15,7 +15,7 @@
     
   
   
-        
+        
         
         
         
@@ -40,7 +40,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -122,7 +122,7 @@
 

 

 class mfsetup.mf6model.MF6model(simulation=None, modelname='model', parent=None, cfg=None, exe_name='mf6', load=False, version='mf6', lgr=False, **kwargs)[source]¶

-
Bases: MFsetupMixin, ModflowGwf

+
Bases: MFsetupMixin, ModflowGwf

 
Class representing a MODFLOW-6 model.

 

 

@@ -335,7 +335,7 @@
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/api/mfsetup.mfmodel.html b/latest/api/mfsetup.mfmodel.html
index f874bffa..7da01ee2 100644
--- a/latest/api/mfsetup.mfmodel.html
+++ b/latest/api/mfsetup.mfmodel.html
@@ -4,7 +4,7 @@
   
 
   
-  MFsetupMixin class — modflow-setup 0.5.0.post19+g85b7816 documentation
+  MFsetupMixin class — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -15,7 +15,7 @@
     
   
   
-        
+        
         
         
         
@@ -40,7 +40,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -424,7 +424,7 @@
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/api/mfsetup.mfnwtmodel.html b/latest/api/mfsetup.mfnwtmodel.html
index 100f70e5..dd38d6a0 100644
--- a/latest/api/mfsetup.mfnwtmodel.html
+++ b/latest/api/mfsetup.mfnwtmodel.html
@@ -4,7 +4,7 @@
   
 
   
-  MFnwtModel class — modflow-setup 0.5.0.post19+g85b7816 documentation
+  MFnwtModel class — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -15,7 +15,7 @@
     
   
   
-        
+        
         
         
         
@@ -40,7 +40,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -122,7 +122,7 @@
 

 

 class mfsetup.mfnwtmodel.MFnwtModel(parent=None, cfg=None, modelname='model', exe_name='mfnwt', version='mfnwt', model_ws='.', external_path='external/', **kwargs)[source]¶

-
Bases: MFsetupMixin, Modflow

+
Bases: MFsetupMixin, Modflow

 
Class representing a MODFLOW-NWT model

 

 

@@ -236,7 +236,7 @@
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/api/mfsetup.tdis.html b/latest/api/mfsetup.tdis.html
index a65d048c..190bd15f 100644
--- a/latest/api/mfsetup.tdis.html
+++ b/latest/api/mfsetup.tdis.html
@@ -4,7 +4,7 @@
   
 
   
-  mfsetup.tdis module — modflow-setup 0.5.0.post19+g85b7816 documentation
+  mfsetup.tdis module — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -15,7 +15,7 @@
     
   
   
-        
+        
         
         
         
@@ -40,7 +40,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -466,7 +466,7 @@
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/api/mfsetup.tmr.html b/latest/api/mfsetup.tmr.html
index 8519739a..b9d997c3 100644
--- a/latest/api/mfsetup.tmr.html
+++ b/latest/api/mfsetup.tmr.html
@@ -4,7 +4,7 @@
   
 
   
-  mfsetup.tmr module — modflow-setup 0.5.0.post19+g85b7816 documentation
+  mfsetup.tmr module — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -15,7 +15,7 @@
     
   
   
-        
+        
         
         
         
@@ -40,7 +40,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -212,7 +212,7 @@
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/concepts/index.html b/latest/concepts/index.html
index 08f5ad27..0fd372c2 100644
--- a/latest/concepts/index.html
+++ b/latest/concepts/index.html
@@ -4,7 +4,7 @@
   
 
   
-  Modflow-setup concepts and methods — modflow-setup 0.5.0.post19+g85b7816 documentation
+  Modflow-setup concepts and methods — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -15,7 +15,7 @@
     
   
   
-        
+        
         
         
         
@@ -40,7 +40,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 
 
diff --git a/latest/concepts/interp.html b/latest/concepts/interp.html
index a2f5e7f4..027b573b 100644
--- a/latest/concepts/interp.html
+++ b/latest/concepts/interp.html
@@ -4,7 +4,7 @@
   
 
   
-  Interpolating data to the model grid — modflow-setup 0.5.0.post19+g85b7816 documentation
+  Interpolating data to the model grid — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -15,7 +15,7 @@
     
   
   
-        
+        
         
         
         
@@ -40,7 +40,7 @@
             modflow-setup
           
               

-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               

 

   
@@ -112,7 +112,7 @@
              
   

 
Interpolating data to the model grid¶

-
For most interpolation operations where geo-located data are sampled to the model grid, Modflow-setup uses a barycentric (triangular) interpolation scheme similar to scipy.interpolate.griddata(). This n-dimensional unstructured method allows for interpolation between grids that are aligned with different coordinate references systems, as well as interpolation between unstructured grids. As described here, setup of the barycentric interpolation involves:

+
For most interpolation operations where geo-located data are sampled to the model grid, Modflow-setup uses a barycentric (triangular) interpolation scheme similar to scipy.interpolate.griddata(). This n-dimensional unstructured method allows for interpolation between grids that are aligned with different coordinate references systems, as well as interpolation between unstructured grids. As described here, setup of the barycentric interpolation involves:

 

 
    
 
  1. Construction of a triangular mesh linking the source points
    2. 
@@ -125,7 +125,7 @@ 
    Interpolating data to the model grid
 
  2. Linear interpolation is the default method in most instances, except for recharge, which is often based on categorical data such as land cover and soil types, and therefore has nearest-neighbor as the default method.
    3. 
-
  3. The interpolation method can generally be specified explicitly for a given dataset by including a resample_method argument. Available methods are listed in the documentation for scipy.interpolate.griddata(). For example, if we wanted to override the 'nearest' default for the Recharge Package:
    4. 
+
  4. The interpolation method can generally be specified explicitly for a given dataset by including a resample_method argument. Available methods are listed in the documentation for scipy.interpolate.griddata(). For example, if we wanted to override the 'nearest' default for the Recharge Package:
    5. 
 
 
    rch:
   options:
@@ -163,7 +163,7 @@ 
    Interpolating data to the model grid
     
    © Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       
    
   
    
 
diff --git a/latest/concepts/lgr.html b/latest/concepts/lgr.html
index 1d92ce30..f33035f1 100644
--- a/latest/concepts/lgr.html
+++ b/latest/concepts/lgr.html
@@ -4,7 +4,7 @@
   
 
   
-  Local grid refinement — modflow-setup 0.5.0.post19+g85b7816 documentation
+  Local grid refinement — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
@@ -15,7 +15,7 @@
     
   
   
-        
+        
         
         
         
@@ -40,7 +40,7 @@
             modflow-setup
           
               
    
-                0.5.0.post19+g85b7816
+                0.5.0.post22+g0215fb8
               
    
 
    
   
@@ -132,7 +132,7 @@ 
    Local grid refinementThe horizontal location and resolution of the inset model are specified in the inset model configuration file, in the same way that they are specified for any model. In this example, the parent model has a uniform horizontal resolution of 200 meters, and the inset a uniform resolution of 40 meters (a horizontal refinement of 5 inset model cells per parent model cells). The inset model resolution must be a factor of the parent model resolution.
    
 Example of LGR refinement in all layers.
 Example of LGR refinement in all layers.
-
    Input from the lgr: subblock and the inset model configuration file(s) is passed to the Flopy Lgr Utility, which helps create input for the GWF Model Exchange Package.
    
+
    Input from the lgr: subblock and the inset model configuration file(s) is passed to the Flopy Lgr Utility, which helps create input for the GWF Model Exchange Package.
    
 
    Within the context of a Python session, inset model information is stored in a dictionary under an inset attribute attached to the parent model. For example, to access a Flopy model object for the above inset model from a parent model named model:
    
 
    inset_model = model.inset['pleasant_lgr_inset']
 
    
@@ -216,7 +216,7 @@ 
    Specification of vertical refinement
     
    © Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       
    
   
    
 
diff --git a/latest/concepts/perimeter-bcs.html b/latest/concepts/perimeter-bcs.html
index d14cc89e..82ecf957 100644
--- a/latest/concepts/perimeter-bcs.html
+++ b/latest/concepts/perimeter-bcs.html
@@ -4,7 +4,7 @@
   
 
   
-  Specifying perimeter boundary conditions from another model — modflow-setup 0.5.0.post19+g85b7816 documentation
+  Specifying perimeter boundary conditions from another model — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
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@@ -126,7 +126,7 @@ 
    Features and Limitationsscipy.interpolate.griddata()). However, this means that there may be some mismatch between the parent and inset model solutions along the inset model perimeter, in places where there are abrupt or non-linear head gradients. Boundaries for inset models should always be set sufficiently far away that they do not appreciably impact the model solution in the area(s) of interest. The LGR capability of Modflow-setup can help with this.
    
+
  5. For specified head perimeter boundaries, the inset model grid need not align with the parent model grid; values from the parent model solution are interpolated linearly to the cell centers along the inset model perimeter in the x, y and z directions (using a barycentric triangular method similar to scipy.interpolate.griddata()). However, this means that there may be some mismatch between the parent and inset model solutions along the inset model perimeter, in places where there are abrupt or non-linear head gradients. Boundaries for inset models should always be set sufficiently far away that they do not appreciably impact the model solution in the area(s) of interest. The LGR capability of Modflow-setup can help with this.
    6. 
 
  6. Specified flux boundaries are currently limited to the parent and inset models being colinear.
    7. 
 
  7. The perimeter may be irregular. For example, the edge of the model active area may follow a major surface water feature along the opposite side.
    8. 
 
  8. Specified perimeter heads in MODFLOW-NWT models will have ending heads for each stress period assigned from the starting head of the next stress period (with the last period having the same starting and ending heads). The MODFLOW 6 Constant Head Package only supports assignment of a single head per stress period. This distinction only matters for models where stress periods are subdivided by multiple timesteps.
    9. 
@@ -205,7 +205,7 @@ 
    Specifying the locations of perimeter boundary cells
    
 
    
 

-
3) Specification of perimeter boundary cells with a shapefile. The locations of perimeter cells can be explicitly specified this way, but they still must coincide with the edge of the active extent in each layer (Modflow-setup will not put perimeter cells in the model interior). (Open) Polyline or Polygon shapefiles can be used; in either case a buffer is used to align the supplied features with the active area edge, which is determined using the Sobel edge detection filter in Scipy.

+
3) Specification of perimeter boundary cells with a shapefile. The locations of perimeter cells can be explicitly specified this way, but they still must coincide with the edge of the active extent in each layer (Modflow-setup will not put perimeter cells in the model interior). (Open) Polyline or Polygon shapefiles can be used; in either case a buffer is used to align the supplied features with the active area edge, which is determined using the Sobel edge detection filter in Scipy.

 

 
Input example:

 
chd:
@@ -230,7 +230,7 @@ 
Specifying the locations of perimeter boundary cells
     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/config-file-defaults.html b/latest/config-file-defaults.html
index 003cc8da..d8d31de0 100644
--- a/latest/config-file-defaults.html
+++ b/latest/config-file-defaults.html
@@ -4,7 +4,7 @@
   
 
   
-  Configuration defaults — modflow-setup 0.5.0.post19+g85b7816 documentation
+  Configuration defaults — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
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diff --git a/latest/config-file-gallery.html b/latest/config-file-gallery.html
index 1f9ecc8a..260905b5 100644
--- a/latest/config-file-gallery.html
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-  Configuration File Gallery — modflow-setup 0.5.0.post19+g85b7816 documentation
+  Configuration File Gallery — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
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diff --git a/latest/config-file.html b/latest/config-file.html
index 7dba8ec3..8df790b4 100644
--- a/latest/config-file.html
+++ b/latest/config-file.html
@@ -4,7 +4,7 @@
   
 
   
-  The configuration file — modflow-setup 0.5.0.post19+g85b7816 documentation
+  The configuration file — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
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diff --git a/latest/contributing.html b/latest/contributing.html
index 26fad2bc..1a0b6996 100644
--- a/latest/contributing.html
+++ b/latest/contributing.html
@@ -4,7 +4,7 @@
   
 
   
-  Contributing to modflow-setup — modflow-setup 0.5.0.post19+g85b7816 documentation
+  Contributing to modflow-setup — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
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+                0.5.0.post22+g0215fb8
               

 
 
diff --git a/latest/examples.html b/latest/examples.html
index a34aceaf..8a3e3533 100644
--- a/latest/examples.html
+++ b/latest/examples.html
@@ -4,7 +4,7 @@
   
 
   
-  Examples — modflow-setup 0.5.0.post19+g85b7816 documentation
+  Examples — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
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+                0.5.0.post22+g0215fb8
               

 

   
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Examples
 
   

     
© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/genindex.html b/latest/genindex.html
index 036c1b70..eebbee73 100644
--- a/latest/genindex.html
+++ b/latest/genindex.html
@@ -3,7 +3,7 @@
 
   
   
-  Index — modflow-setup 0.5.0.post19+g85b7816 documentation
+  Index — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
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© Copyright 2019-2024, Modflow-setup developers |.
-      Last updated on Aug 08, 2024.
+      Last updated on Aug 27, 2024.
       

   

 
diff --git a/latest/index.html b/latest/index.html
index 049ad898..bdc1f589 100644
--- a/latest/index.html
+++ b/latest/index.html
@@ -4,7 +4,7 @@
   
 
   
-  modflow-setup 0.5.0.post19+g85b7816 — modflow-setup 0.5.0.post19+g85b7816 documentation
+  modflow-setup 0.5.0.post22+g0215fb8 — modflow-setup 0.5.0.post22+g0215fb8 documentation
       
       
       
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