Deploying to gh-pages from @ 5e9858d 🚀

Author: jan-janssen

README.html

@@ -176,10 +176,10 @@
         </ul>
         <ul class="nav bd-sidenav">
 <li class="toctree-l1"><a class="reference internal" href="intro.html">Definition</a></li>
-<li class="toctree-l1 has-children"><a class="reference internal" href="simple.html">Simple Workflow</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
-<li class="toctree-l2"><a class="reference internal" href="aiida_simple.html">Aiida</a></li>
-<li class="toctree-l2"><a class="reference internal" href="jobflow_simple.html">jobflow</a></li>
-<li class="toctree-l2"><a class="reference internal" href="pyiron_base_simple.html">pyiron</a></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="arithmetic.html">Arithmetic Workflow</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l2"><a class="reference internal" href="aiida_arithmetic.html">Aiida</a></li>
+<li class="toctree-l2"><a class="reference internal" href="jobflow_arithmetic.html">jobflow</a></li>
+<li class="toctree-l2"><a class="reference internal" href="pyiron_base_arithmetic.html">pyiron</a></li>
 </ul>
 </details></li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="evcurve.html">Energy Volume Curve</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
@@ -395,8 +395,8 @@ <h3>Simple Example<a class="headerlink" href="#simple-example" title="Link to th
 <span class="n">result</span> <span class="o">=</span> <span class="n">get_sum</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">tmp_dict</span><span class="p">[</span><span class="s2">&quot;prod&quot;</span><span class="p">],</span> <span class="n">y</span><span class="o">=</span><span class="n">tmp_dict</span><span class="p">[</span><span class="s2">&quot;div&quot;</span><span class="p">])</span>
 </pre></div>
 </div>
-<p>For the workflow representation of these Python functions the Python functions are stored in the <a class="reference download internal" download="" href="_downloads/2733b71b8b860a0550ebcfb326aabf3a/simple_workflow.py"><span class="xref download myst">simple_workflow.py</span></a>
-Python module. The connection of the Python functions are stored in the <a class="reference download internal" download="" href="_downloads/ccde96f4155d5d9b945f1f0b662ed925/workflow_simple.json"><span class="xref download myst">workflow_simple.json</span></a>
+<p>For the workflow representation of these Python functions the Python functions are stored in the <a class="reference download internal" download="" href="_downloads/5843f7f38c96c26d0ee6874fe6cf2f6b/arithmetic_workflow.py"><span class="xref download myst">arithmetic_workflow.py</span></a>
+Python module. The connection of the Python functions are stored in the <a class="reference download internal" download="" href="_downloads/7f177766dc5ef3c236c045eded07364a/workflow_arithmetic.json"><span class="xref download myst">workflow_arithmetic.json</span></a>
 JSON file:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
   <span class="s2">&quot;nodes&quot;</span><span class="p">:</span> <span class="p">[</span>
@@ -431,16 +431,16 @@ <h3>Simple Example<a class="headerlink" href="#simple-example" title="Link to th
 </tr>
 </thead>
 <tbody>
-<tr class="row-even"><td><p><a class="reference internal" href="aiida_simple.html"><span class="std std-doc">aiida_simple.ipynb</span></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="aiida_arithmetic.html"><span class="std std-doc">aiida_arithmetic.ipynb</span></a></p></td>
 <td><p>Define Workflow with aiida and execute it with jobflow and pyiron_base.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="jobflow_simple.html"><span class="std std-doc">jobflow_simple.ipynb</span></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="jobflow_arithmetic.html"><span class="std std-doc">jobflow_arithmetic.ipynb</span></a></p></td>
 <td><p>Define Workflow with jobflow and execute it with aiida and pyiron_base.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="pyiron_base_simple.html"><span class="std std-doc">pyiron_base_simple.ipynb</span></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="pyiron_base_arithmetic.html"><span class="std std-doc">pyiron_base_arithmetic.ipynb</span></a></p></td>
 <td><p>Define Workflow with pyiron_base and execute it with aiida and jobflow.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="universal_workflow_simple.html"><span class="std std-doc">universal_workflow_simple.ipynb</span></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="universal_workflow_arithmetic.html"><span class="std std-doc">universal_workflow_arithmetic.ipynb</span></a></p></td>
 <td><p>Execute workflow defined in the Python Workflow Definition with aiida, executorlib, jobflow, pyiron_base and pure Python.</p></td>
 </tr>
 </tbody>

_downloads/2733b71b8b860a0550ebcfb326aabf3a/simple_workflow.py renamed to _downloads/5843f7f38c96c26d0ee6874fe6cf2f6b/arithmetic_workflow.py

@@ -1,7 +1,7 @@
 {
   "nodes": [
-    {"id": 0, "function": "simple_workflow.get_prod_and_div"},
-    {"id": 1, "function": "simple_workflow.get_sum"},
+    {"id": 0, "function": "arithmetic_workflow.get_prod_and_div"},
+    {"id": 1, "function": "arithmetic_workflow.get_sum"},
     {"id": 2, "value": 1},
     {"id": 3, "value": 2}
   ],

_downloads/ccde96f4155d5d9b945f1f0b662ed925/workflow_simple.json renamed to _downloads/7f177766dc5ef3c236c045eded07364a/workflow_arithmetic.json

@@ -27,8 +27,8 @@ These two Python functions are combined in the following example workflow:
 tmp_dict = get_prod_and_div(x=1, y=2)
 result = get_sum(x=tmp_dict["prod"], y=tmp_dict["div"])
 ```
-For the workflow representation of these Python functions the Python functions are stored in the [simple_workflow.py](simple_workflow.py)
-Python module. The connection of the Python functions are stored in the [workflow_simple.json](workflow_simple.json) 
+For the workflow representation of these Python functions the Python functions are stored in the [arithmetic_workflow.py](arithmetic_workflow.py)
+Python module. The connection of the Python functions are stored in the [workflow_arithmetic.json](workflow_arithmetic.json) 
 JSON file:
 ```
 {
@@ -57,12 +57,12 @@ library.
 
 The corresponding Jupyter notebooks demonstrate this functionality:
 
-| Example                                                            | Explanation                                                                                                               | 
-|--------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------|
-| [aiida_simple.ipynb](aiida_simple.ipynb)                           | Define Workflow with aiida and execute it with jobflow and pyiron_base.                                                   |
-| [jobflow_simple.ipynb](jobflow_simple.ipynb)                       | Define Workflow with jobflow and execute it with aiida and pyiron_base.                                                   |
-| [pyiron_base_simple.ipynb](pyiron_base_simple.ipynb)               | Define Workflow with pyiron_base and execute it with aiida and jobflow.                                                   |
-| [universal_workflow_simple.ipynb](universal_workflow_simple.ipynb) | Execute workflow defined in the Python Workflow Definition with aiida, executorlib, jobflow, pyiron_base and pure Python. |
+| Example                                                                    | Explanation                                                                                                               | 
+|----------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------|
+| [aiida_arithmetic.ipynb](aiida_arithmetic.ipynb)                           | Define Workflow with aiida and execute it with jobflow and pyiron_base.                                                   |
+| [jobflow_arithmetic.ipynb](jobflow_arithmetic.ipynb)                       | Define Workflow with jobflow and execute it with aiida and pyiron_base.                                                   |
+| [pyiron_base_arithmetic.ipynb](pyiron_base_arithmetic.ipynb)               | Define Workflow with pyiron_base and execute it with aiida and jobflow.                                                   |
+| [universal_workflow_arithmetic.ipynb](universal_workflow_arithmetic.ipynb) | Execute workflow defined in the Python Workflow Definition with aiida, executorlib, jobflow, pyiron_base and pure Python. |
 
 ### Quantum Espresso Workflow
 The second workflow example is the calculation of an energy volume curve with Quantum Espresso. In the first step the 

_sources/README.md

@@ -43,7 +43,7 @@
   {
    "cell_type": "code",
    "source": [
-    "from simple_workflow import (\n",
+    "from arithmetic_workflow import (\n",
     "    get_sum as _get_sum,\n",
     "    get_prod_and_div as _get_prod_and_div,\n",
     ")"
@@ -56,7 +56,7 @@
   },
   {
    "cell_type": "code",
-   "source": "wg = WorkGraph(\"wg-simple\")",
+   "source": "wg = WorkGraph(\"arithmetic\")",
    "metadata": {
     "trusted": true
    },

_sources/aiida_simple.ipynb renamed to _sources/aiida_arithmetic.ipynb

@@ -1,4 +1,4 @@
-# Simple Workflow
+# Arithmetic Workflow
 As a first example we define two Python functions which add multiple inputs: 
 ```python
 def get_sum(x, y):
@@ -12,14 +12,14 @@ These two Python functions are combined in the following example workflow:
 tmp_dict = get_prod_and_div(x=1, y=2)
 result = get_sum(x=tmp_dict["prod"], y=tmp_dict["div"])
 ```
-For the workflow representation of these Python functions the Python functions are stored in the [simple_workflow.py](simple_workflow.py)
-Python module. The connection of the Python functions are stored in the [workflow_simple.json](workflow_simple.json) 
+For the workflow representation of these Python functions the Python functions are stored in the [arithmetic_workflow.py](arithmetic_workflow.py)
+Python module. The connection of the Python functions are stored in the [workflow_arithmetic.json](workflow_arithmetic.json) 
 JSON file:
 ```
 {
   "nodes": [
-    {"id": 0, "function": "simple_workflow.get_prod_and_div"},
-    {"id": 1, "function": "simple_workflow.get_sum"},
+    {"id": 0, "function": "arithmetic_workflow.get_prod_and_div"},
+    {"id": 1, "function": "arithmetic_workflow.get_sum"},
     {"id": 2, "value": 1},
     {"id": 3, "value": 2}
   ],

_sources/simple.md renamed to _sources/arithmetic.md

@@ -1,4 +1,4 @@
-# Simple Workflow
+# Arithmetic Workflow
 As a first example we define two Python functions which add multiple inputs: 
 ```python
 def get_sum(x, y):
@@ -12,14 +12,14 @@ These two Python functions are combined in the following example workflow:
 tmp_dict = get_prod_and_div(x=1, y=2)
 result = get_sum(x=tmp_dict["prod"], y=tmp_dict["div"])
 ```
-For the workflow representation of these Python functions the Python functions are stored in the [simple_workflow.py](simple_workflow.py)
-Python module. The connection of the Python functions are stored in the [workflow_simple.json](workflow_simple.json) 
+For the workflow representation of these Python functions the Python functions are stored in the [arithmetic_workflow.py](arithmetic_workflow.py)
+Python module. The connection of the Python functions are stored in the [workflow_arithmetic.json](workflow_arithmetic.json) 
 JSON file:
 ```
 {
   "nodes": [
-    {"id": 0, "function": "simple_workflow.get_prod_and_div"},
-    {"id": 1, "function": "simple_workflow.get_sum"},
+    {"id": 0, "function": "arithmetic_workflow.get_prod_and_div"},
+    {"id": 1, "function": "arithmetic_workflow.get_sum"},
     {"id": 2, "value": 1},
     {"id": 3, "value": 2}
   ],

_sources/book/simple.md renamed to _sources/book/arithmetic.md

@@ -63,7 +63,7 @@
    "id": "fb847d49-7bf9-4839-9b99-c116d1b0e9ee",
    "cell_type": "code",
    "source": [
-    "from simple_workflow import (\n",
+    "from arithmetic_workflow import (\n",
     "    get_sum as _get_sum,\n",
     "    get_prod_and_div as _get_prod_and_div,\n",
     ")"

_sources/jobflow_simple.ipynb renamed to _sources/jobflow_arithmetic.ipynb

@@ -57,7 +57,7 @@
    "id": "fb847d49-7bf9-4839-9b99-c116d1b0e9ee",
    "cell_type": "code",
    "source": [
-    "from simple_workflow import (\n",
+    "from arithmetic_workflow import (\n",
     "    get_sum as _get_sum,\n",
     "    get_prod_and_div as _get_prod_and_div,\n",
     ")"
@@ -71,7 +71,7 @@
   {
    "id": "8f95244e",
    "cell_type": "code",
-   "source": "workflow_json_filename = \"pyiron_base_simple.json\"",
+   "source": "workflow_json_filename = \"pyiron_arithmetic.json\"",
    "metadata": {
     "trusted": true
    },

_sources/pyiron_base_simple.ipynb renamed to _sources/pyiron_base_arithmetic.ipynb

@@ -42,7 +42,7 @@
   },
   {
    "cell_type": "code",
-   "source": "plot(file_name='workflow_simple.json')",
+   "source": "plot(file_name='workflow_arithmetic.json')",
    "metadata": {
     "trusted": true
    },
@@ -83,7 +83,7 @@
   },
   {
    "cell_type": "code",
-   "source": "workgraph = load_workflow_json(file_name='workflow_simple.json')",
+   "source": "workgraph = load_workflow_json(file_name='workflow_arithmetic.json')",
    "metadata": {
     "trusted": true
    },
@@ -153,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "source": "with SingleNodeExecutor(max_workers=1) as exe:\n    result = load_workflow_json(file_name=\"workflow_simple.json\", exe=exe).result()",
+   "source": "with SingleNodeExecutor(max_workers=1) as exe:\n    result = load_workflow_json(file_name=\"workflow_arithmetic.json\", exe=exe).result()",
    "metadata": {
     "trusted": true
    },
@@ -209,7 +209,7 @@
   },
   {
    "cell_type": "code",
-   "source": "flow = load_workflow_json(file_name=\"workflow_simple.json\")",
+   "source": "flow = load_workflow_json(file_name=\"workflow_arithmetic.json\")",
    "metadata": {
     "trusted": true
    },
@@ -256,7 +256,7 @@
   {
    "cell_type": "code",
    "source": [
-    "delayed_object_lst = load_workflow_json(file_name=\"workflow_simple.json\")\n",
+    "delayed_object_lst = load_workflow_json(file_name=\"workflow_arithmetic.json\")\n",
     "delayed_object_lst[-1].draw()"
    ],
    "metadata": {
@@ -313,7 +313,7 @@
   },
   {
    "cell_type": "code",
-   "source": "load_workflow_json(file_name=\"workflow_simple.json\")",
+   "source": "load_workflow_json(file_name=\"workflow_arithmetic.json\")",
    "metadata": {
     "trusted": true
    },