28 rename ghcomponents to ara

docs/documentation.rst

@@ -10,7 +10,7 @@ The documentation of **AIXD: AI-eXtended Design** tookit can be found `here <htt
 
 DataBool
 --------
-.. image:: _images/icons/aixd_DataBool.png
+.. image:: _images/icons/ara_DataBool.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -29,7 +29,7 @@ Defines a boolean variable.
 
 DataCategorical
 ---------------
-.. image:: _images/icons/aixd_DataCat.png
+.. image:: _images/icons/ara_DataCat.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -49,7 +49,7 @@ Defines a categorical variable.
 
 DataInt
 -------
-.. image:: _images/icons/aixd_DataInt.png
+.. image:: _images/icons/ara_DataInt.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -69,7 +69,7 @@ Defines an integer-valued variable.
 
 DataObjectsNames
 ----------------
-.. image:: _images/icons/aixd_DataObjectsNames.png
+.. image:: _images/icons/ara_DataObjectsNames.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -84,7 +84,7 @@ Generates panels with list of names of data objects for all or selected data blo
 
 DataReal
 --------
-.. image:: _images/icons/aixd_DataReal.png
+.. image:: _images/icons/ara_DataReal.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -104,7 +104,7 @@ Defines a real-valued variable.
 
 DatasetCreate
 -------------
-.. image:: _images/icons/aixd_DatasetCreate.png
+.. image:: _images/icons/ara_DatasetCreate.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -124,7 +124,7 @@ Creates a dataset object. This defines the structure of the dataset. It does not
 
 DatasetGenerator
 ----------------
-.. image:: _images/icons/aixd_DatasetGenerator.png
+.. image:: _images/icons/ara_DatasetGenerator.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -138,7 +138,7 @@ Provides instructions on how to generate random samples for the dataset.
 
 DatasetLoad
 -----------
-.. image:: _images/icons/aixd_DatasetLoad.png
+.. image:: _images/icons/ara_DatasetLoad.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -156,7 +156,7 @@ Loads an existing dataset from the file system, from the location specified in t
 
 DatasetOneSample
 ----------------
-.. image:: _images/icons/aixd_DatasetOneSample.png
+.. image:: _images/icons/ara_DatasetOneSample.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -175,7 +175,7 @@ Retrieves one sample from the dataset (at a given or random index) and instantia
 
 DatasetSummary
 --------------
-.. image:: _images/icons/aixd_DatasetSummary.png
+.. image:: _images/icons/ara_DatasetSummary.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -193,7 +193,7 @@ Provides a summary of the dataset.
 
 Generator
 ---------
-.. image:: _images/icons/aixd_Generator.png
+.. image:: _images/icons/ara_Generator.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -216,7 +216,7 @@ Runs a generation campaing to create new designs using the trained model.
 
 ModelDimensions
 ---------------
-.. image:: _images/icons/aixd_ModelDims.png
+.. image:: _images/icons/ara_ModelDims.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -234,7 +234,7 @@ Retrieves dimensions of the model's input and output layers.
 
 ModelLoad
 ---------
-.. image:: _images/icons/aixd_ModelLoad.png
+.. image:: _images/icons/ara_ModelLoad.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -255,7 +255,7 @@ Loads an existing, pre-traind neural network model from a checkpoint.
 
 ModelSetup
 ----------
-.. image:: _images/icons/aixd_ModelSetup.png
+.. image:: _images/icons/ara_ModelSetup.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -280,7 +280,7 @@ Sets up an autoencoder model of the specified type with the given parameters.
 
 ModelSummary
 ------------
-.. image:: _images/icons/aixd_ModelSummary.png
+.. image:: _images/icons/ara_ModelSummary.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -299,7 +299,7 @@ Provides a summary of the autoencoder model's architecture.
 
 ModelTrain
 ----------
-.. image:: _images/icons/aixd_ModelTrain.png
+.. image:: _images/icons/ara_ModelTrain.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -320,7 +320,7 @@ Runs a training campaign.
 
 PlotContours
 ------------
-.. image:: _images/icons/aixd_PlotContours.png
+.. image:: _images/icons/ara_PlotContours.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -341,7 +341,7 @@ Plots the distribution contours for each pair of variables from the data in the
 
 PlotContoursRequest
 -------------------
-.. image:: _images/icons/aixd_PlotContoursRequest.png
+.. image:: _images/icons/ara_PlotContoursRequest.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -362,7 +362,7 @@ Plots the requested and predicted values against the distribution contours for e
 
 PlotCorrelations
 ----------------
-.. image:: _images/icons/aixd_PlotCorrelations.png
+.. image:: _images/icons/ara_PlotCorrelations.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -383,7 +383,7 @@ Plots correlation matrix for the given variables from the data in the dataset.
 
 PlotDistribution
 ----------------
-.. image:: _images/icons/aixd_PlotDistributions.png
+.. image:: _images/icons/ara_PlotDistributions.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -404,7 +404,7 @@ Plots the distribution of the given variables from the data in the dataset.
 
 ProjectSetup
 ------------
-.. image:: _images/icons/aixd_ProjectSetup.png
+.. image:: _images/icons/ara_ProjectSetup.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -425,7 +425,7 @@ Sets up the project in the folder given by `project_root/project_name`.
 
 Reset
 -----
-.. image:: _images/icons/aixd_Reset.png
+.. image:: _images/icons/ara_Reset.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -439,7 +439,7 @@ Resets the current project running in this Grasshopper file.
 
 Server
 ------
-.. image:: _images/icons/aixd_Server.png
+.. image:: _images/icons/ara_Server.png
 	:align: left
 	:height: 24
 	:width: 24
@@ -459,7 +459,7 @@ Starts and stops the app server.
 
 ShowFolder
 ----------
-.. image:: _images/icons/aixd_ShowFolder.png
+.. image:: _images/icons/ara_ShowFolder.png
 	:align: left
 	:height: 24
 	:width: 24

scripts/generate_rst_docs_from_components.ipynb

@@ -24,7 +24,7 @@
     "\n",
     "metadata_list = []\n",
     "\n",
-    "skip_subfolders = [\"aixd_\", \"ghuser\"]\n",
+    "skip_subfolders = [\"ara_\", \"ghuser\"]\n",
     "\n",
     "for folder_name in os.listdir(GHCOMP_FOLDER):\n",
     "    if folder_name in skip_subfolders: continue\n",

src/aixd_ara/components/aixd_/metadata.json → src/aixd_ara/components/ara_/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "",
     "nickname": "",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "",
     "description": "",
     "exposure": -1,

src/aixd_ara/components/aixd_DataBool/metadata.json → src/aixd_ara/components/ara_DataBool/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "DataBool",
     "nickname": "DataBool",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "1 Data",
     "description": "Defines a boolean variable.",
     "exposure": 2,

src/aixd_ara/components/aixd_DataCat/metadata.json → src/aixd_ara/components/ara_DataCat/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "DataCategorical",
     "nickname": "DataCat",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "1 Data",
     "description": "Defines a categorical variable.",
     "exposure": 2,

src/aixd_ara/components/aixd_DataInt/metadata.json → src/aixd_ara/components/ara_DataInt/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "DataInt",
     "nickname": "DataInt",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "1 Data",
     "description": "Defines an integer-valued variable.",
     "exposure": 2,

src/aixd_ara/components/aixd_DataObjectsNames/metadata.json → src/aixd_ara/components/ara_DataObjectsNames/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "DataObjectsNames",
     "nickname": "DataObjectsNames",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "1 Data",
     "description": "Generates panels with list of names of data objects for all or selected data blocks. Data block names are: 'design_parameters','performance_attributes','inputML','outputML'. " ,
     "exposure": 4,

src/aixd_ara/components/aixd_DataReal/metadata.json → src/aixd_ara/components/ara_DataReal/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "DataReal",
     "nickname": "DataReal",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "1 Data",
     "description": "Defines a real-valued variable.",
     "exposure": 2,

src/aixd_ara/components/aixd_DatasetCreate/metadata.json → src/aixd_ara/components/ara_DatasetCreate/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "DatasetCreate",
     "nickname": "DatasetCreate",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "2 Dataset",
     "description": "Creates a dataset object. This defines the structure of the dataset. It does not cointain any data.",
     "exposure": 2,

src/aixd_ara/components/aixd_DatasetGenerator/metadata.json → src/aixd_ara/components/ara_DatasetGenerator/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "DatasetGenerator",
     "nickname": "DatasetGen",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "2 Dataset",
     "description": "Provides instructions on how to generate random samples for the dataset.",
     "exposure": 2,

src/aixd_ara/components/aixd_DatasetLoad/metadata.json → src/aixd_ara/components/ara_DatasetLoad/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "DatasetLoad",
     "nickname": "DatasetLoad",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "2 Dataset",
     "description": "Loads an existing dataset from the file system, from the location specified in the project setup. It loads the dataset object and the data into the app.",
     "exposure": 2,

src/aixd_ara/components/aixd_DatasetOneSample/metadata.json → src/aixd_ara/components/ara_DatasetOneSample/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "DatasetOneSample",
     "nickname": "DatasetOneSample",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "2 Dataset",
     "description": "Retrieves one sample from the dataset (at a given or random index) and instantiates it in the parametric model.",
     "exposure": 4,

src/aixd_ara/components/aixd_DatasetSummary/metadata.json → src/aixd_ara/components/ara_DatasetSummary/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "DatasetSummary",
     "nickname": "DatasetSummary",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "2 Dataset",
     "description": "Provides a summary of the dataset.",
     "exposure": 4,

src/aixd_ara/components/aixd_Generator/metadata.json → src/aixd_ara/components/ara_Generator/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "Generator",
     "nickname": "Generator",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "4 Generator",
     "description": "Runs a generation campaing to create new designs using the trained model.",
     "exposure": 2,

src/aixd_ara/components/aixd_ModelDims/metadata.json → src/aixd_ara/components/ara_ModelDims/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "ModelDimensions",
     "nickname": "ModelDims",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "3 Model",
     "description": "Retrieves dimensions of the model's input and output layers.",
     "exposure": 4,

src/aixd_ara/components/aixd_ModelLoad/metadata.json → src/aixd_ara/components/ara_ModelLoad/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "ModelLoad",
     "nickname": "ModelLoad",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "3 Model",
     "description": "Loads an existing, pre-traind neural network model from a checkpoint.",
     "exposure": 2,

src/aixd_ara/components/aixd_ModelSetup/metadata.json → src/aixd_ara/components/ara_ModelSetup/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "ModelSetup",
     "nickname": "ModelSetup",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "3 Model",
     "description": "Sets up an autoencoder model of the specified type with the given parameters.",
     "exposure": 2,

src/aixd_ara/components/aixd_ModelSummary/metadata.json → src/aixd_ara/components/ara_ModelSummary/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "ModelSummary",
     "nickname": "ModelSummary",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "3 Model",
     "description": "Provides a summary of the autoencoder model's architecture.",
     "exposure": 4,

src/aixd_ara/components/aixd_ModelTrain/metadata.json → src/aixd_ara/components/ara_ModelTrain/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "ModelTrain",
     "nickname": "ModelTrain",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "3 Model",
     "description": "Runs a training campaign.",
     "exposure": 2,

src/aixd_ara/components/aixd_PlotContours/metadata.json → src/aixd_ara/components/ara_PlotContours/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "PlotContours",
     "nickname": "PlotContours",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "5 Plotter",
     "description": "Plots the distribution contours for each pair of variables from the data in the dataset.",
     "exposure": 2,

src/aixd_ara/components/aixd_PlotContoursRequest/metadata.json → src/aixd_ara/components/ara_PlotContoursRequest/metadata.json

@@ -1,7 +1,7 @@
 {
     "name": "PlotContoursRequest",
     "nickname": "PlotContReq",
-    "category": "AIXD",
+    "category": "ARA",
     "subcategory": "5 Plotter",
     "description": "Plots the requested and predicted values against the distribution contours for each pair of the corresponding variables.",
     "exposure": 2,