Merge pull request #246 from bessagroup/pr/1.4.6

Pr/1.4.6

Author: mpvanderschelling

Diff for: VERSION

@@ -1 +1 @@
-1.4.5
+1.4.6

Diff for: docs/requirements.txt

@@ -1,4 +1,5 @@
 sphinx
 sphinx_rtd_theme
 sphinxcontrib-bibtex
-sphinx_autodoc_typehints
+sphinx_autodoc_typehints
+sphinx-tabs==3.4.4

Diff for: docs/source/conf.py

@@ -25,8 +25,8 @@
 project = 'f3dasm'
 author = 'Martin van der Schelling'
 copyright = '2022, Martin van der Schelling'
-version = '1.4.5'
-release = '1.4.5'
+version = '1.4.6'
+release = '1.4.6'
 
 
 # -- General configuration ----------------------------------------------------
@@ -42,7 +42,8 @@
               'sphinx.ext.autosummary',
               'sphinx.ext.intersphinx',
               'sphinx.ext.viewcode',
-              'sphinx_autodoc_typehints']
+              'sphinx_autodoc_typehints',
+              'sphinx_tabs.tabs']
 
 # Source: https://www.sphinx-doc.org/en/master/usage/configuration.html#confval-source_suffix
 source_suffix = {'.rst': 'restructuredtext', }

Diff for: docs/source/rst_doc_files/classes/datageneration/datagenerator.rst

@@ -4,10 +4,10 @@ Datagenerator
 =============
 
 The :class:`~f3dasm.datageneration.DataGenerator` class is the main class of the :mod:`~f3dasm.datageneration` module.
-It is used to generate :attr:`~f3dasm.design.ExperimentData.output_data` for the :class:`~f3dasm.design.ExperimentData` by taking a :class:`~f3dasm.design.ExperimentSample` object.
+It is used to generate :attr:`~f3dasm.ExperimentData.output_data` for the :class:`~f3dasm.ExperimentData` by taking a :class:`~f3dasm.ExperimentSample` object.
 
 The :class:`~f3dasm.datageneration.DataGenerator` can serve as the interface between the 
-:class:`~f3dasm.design.ExperimentData` object and any third-party simulation software.
+:class:`~f3dasm.ExperimentData` object and any third-party simulation software.
 
 .. image:: ../../../img/f3dasm-datageneration.png
     :width: 70%
@@ -17,27 +17,27 @@ The :class:`~f3dasm.datageneration.DataGenerator` can serve as the interface bet
 |
 
 Use the simulator in the data-driven process
-------------------------------------------
+--------------------------------------------
 
-In order to run your simulator on each of the :class:`~f3dasm.design.ExperimentSample` of your :class:`~f3dasm.design.ExperimentData`, you follow these steps:
+In order to run your simulator on each of the :class:`~f3dasm.ExperimentSample` of your :class:`~f3dasm.ExperimentData`, you follow these steps:
 In this case, we are utilizing a one of the :ref:`benchmark-functions` to mock a simulator.
 
-We provide the datagenerator to the :meth:`~f3dasm.design.ExperimentData.evaluate` function with the :class:`~f3dasm.datageneration.DataGenerator` object as an argument.
+We provide the datagenerator to the :meth:`~f3dasm.ExperimentData.evaluate` function with the :class:`~f3dasm.datageneration.DataGenerator` object as an argument.
 
     .. code-block:: python
 
         experimentdata.evaluate(data_generator="Ackley", method='sequential', kwargs={'some_additional_parameter': 1})
 
 .. note::
 
-    Any key-word arguments that need to be passed down to the :class:`~f3dasm.datageneration.DataGenerator` can be passed in the :code:`kwargs` argument of the :meth:`~f3dasm.design.ExperimentData.evaluate` function.
+    Any key-word arguments that need to be passed down to the :class:`~f3dasm.datageneration.DataGenerator` can be passed in the :code:`kwargs` argument of the :meth:`~f3dasm.ExperimentData.evaluate` function.
 
 
-There are three methods available of handeling the :class:`~f3dasm.design.ExperimentSample` objects:
+There are three methods available of handeling the :class:`~f3dasm.ExperimentSample` objects:
 
-* :code:`sequential`: regular for-loop over each of the :class:`~f3dasm.design.ExperimentSample` objects in order
-* :code:`parallel`: utilizing the multiprocessing capabilities (with the `pathos <https://pathos.readthedocs.io/en/latest/pathos.html>`_ multiprocessing library), each :class:`~f3dasm.design.ExperimentSample` object is run in a separate core
-* :code:`cluster`: utilizing the multiprocessing capabilities, each :class:`~f3dasm.design.ExperimentSample` object is run in a separate node. After completion of an sample, the node will automatically pick the next available sample. More information on this mode can be found in the :ref:`cluster-mode` section.
+* :code:`sequential`: regular for-loop over each of the :class:`~f3dasm.ExperimentSample` objects in order
+* :code:`parallel`: utilizing the multiprocessing capabilities (with the `pathos <https://pathos.readthedocs.io/en/latest/pathos.html>`_ multiprocessing library), each :class:`~f3dasm.ExperimentSample` object is run in a separate core
+* :code:`cluster`: utilizing the multiprocessing capabilities, each :class:`~f3dasm.ExperimentSample` object is run in a separate node. After completion of an sample, the node will automatically pick the next available sample. More information on this mode can be found in the :ref:`cluster-mode` section.
 
 
 Implement your simulator
@@ -65,16 +65,16 @@ Once you have created the  ``data_generator`` object, you can plug-in a pre-proc
 
 pre-processing
 ^^^^^^^^^^^^^^
-The preprocessing method is used to create a simulator input file from the information in the :class:`~f3dasm.design.ExperimentSample`.
+The preprocessing method is used to create a simulator input file from the information in the :class:`~f3dasm.ExperimentSample`.
 
 
 This method should adhere to a few things:
 
-* The first argument of the function needs to be ``experiment_sample`` of type :class:`~f3dasm.design.ExperimentSample`.
+* The first argument of the function needs to be ``experiment_sample`` of type :class:`~f3dasm.ExperimentSample`.
 * The method should return None.
 * The method should create the input file ready for the simulator to process with the job_number as name (``experiment_sample.job_number``) 
 
-You can retrieve the parameters of the :class:`~f3dasm.design.ExperimentSample` object by calling the :meth:`~f3dasm.design.ExperimentSample.get` method.
+You can retrieve the parameters of the :class:`~f3dasm.ExperimentSample` object by calling the :meth:`~f3dasm.ExperimentSample.get` method.
 
 You can add the ``pre-process-function`` to the :class:`~f3dasm.datageneration.DataGenerator` object by passing it through the :meth:`~f3dasm.datageneration.DataGenerator.add_pre_process` method:
 
@@ -90,13 +90,12 @@ You can add the ``pre-process-function`` to the :class:`~f3dasm.datageneration.D
 post-processing
 ^^^^^^^^^^^^^^^
 
-* :meth:`~f3dasm.datageneration.DataGenerator.execute` - The main functon call to run the simulation. Returns None.
 The post-processing method converts the output of the simulator to a ``results.pkl`` `pickle <https://docs.python.org/3/library/pickle.html>`_ file.
-This ``results.pkl`` is then loaded into the :class:`~f3dasm.design.ExperimentData` object.
+This ``results.pkl`` is then loaded into the :class:`~f3dasm.ExperimentData` object.
 
 This method should adhere to a few things:
 
-* The first argument of the function needs to be ``experiment_sample`` of type :class:`~f3dasm.design.ExperimentSample`.
+* The first argument of the function needs to be ``experiment_sample`` of type :class:`~f3dasm.ExperimentSample`.
 * The method should return None.
 * The method read the output of the simulator (it's name is ``experiment_sample.job_number``) and convert it to a ``results.pkl`` file.
 * This pickle file is stored in the current working directory.

Diff for: docs/source/rst_doc_files/classes/datageneration/functions.rst

@@ -20,7 +20,7 @@ In order to augment the benchmark functions, you can provide 4 keyword arguments
 * ``seed``: Seed for the random number generator for the ``noise`` and ``offset`` calculations.
 
 Benchmark functions can substitute the expensive simulation in the 
-:class:`~f3dasm.design.ExperimentData` object by providing the name of the function as the ``data_generator`` argument:
+:class:`~f3dasm.ExperimentData` object by providing the name of the function as the ``data_generator`` argument:
 
 .. code-block:: python
 

Diff for: docs/source/rst_doc_files/classes/design/domain.rst

@@ -9,7 +9,7 @@ Domain
 
 .. _domain:
 
-The :class:`~f3dasm.design.Domain` is a set of :class:`f3dasm.design.Parameter` instances that make up the feasible search space.
+The :class:`~f3dasm.design.Domain` is a set of parameter instances that make up the feasible search space.
 
 .. image:: ../../../img/f3dasm-domain.png
     :width: 100%
@@ -23,7 +23,7 @@ To start, we instantiate an empty domain object:
 
 .. code-block:: python
 
-  from f3dasm import Domain
+  from f3dasm.design import Domain
 
   domain = Domain()
 
@@ -108,12 +108,12 @@ and a dictionary with the parameter type (:code:`type`) and the corresponding ar
     domain:
         param_1:
             type: float
-            lower_bound: -1.0
-            upper_bound: 1.0
+            low: -1.0
+            high: 1.0
         param_2:
             type: int
-            lower_bound: 1
-            upper_bound: 10
+            low: 1
+            high: 10
         param_3:
             type: category
             categories: ['red', 'blue', 'green', 'yellow', 'purple']

Diff for: docs/source/rst_doc_files/classes/design/experimentdata.rst

@@ -1,12 +1,12 @@
 Experiment Data
 ===============
 
-The :class:`~f3dasm.design.ExperimentData` object is the main object used to store implementations of a design-of-experiments, 
+The :class:`~f3dasm.ExperimentData` object is the main object used to store implementations of a design-of-experiments, 
 keep track of results, perform optimization and extract data for machine learning purposes.
 
 All other processses of f3dasm use this object to manipulate and access data about your experiments.
 
-The :class:`~f3dasm.design.ExperimentData` object consists of the following attributes:
+The :class:`~f3dasm.ExperimentData` object consists of the following attributes:
 
 - :ref:`domain <domain-format>`: The feasible :class:`~f3dasm.design.Domain` of the Experiment. Used for sampling and optimization.
 - :ref:`input_data <input-data-format>`: Tabular data containing the input variables of the experiments as column and the experiments as rows.
@@ -25,7 +25,7 @@ The :class:`~f3dasm.design.ExperimentData` object consists of the following attr
 
     Users of :mod:`f3dasm` are advised to not directly manipulate the attributes of the ExperimentData object. Instead, the methods of ExperimentData should be used to manipulate the data.
 
-The :class:`~f3dasm.design.ExperimentData` object can be constructed in several ways:
+The :class:`~f3dasm.ExperimentData` object can be constructed in several ways:
 
 * :ref:`By providing your own data <experimentdata-own>`
 * :ref:`Reconstructed from the project directory <experimentdata-file>`
@@ -37,15 +37,15 @@ The :class:`~f3dasm.design.ExperimentData` object can be constructed in several
 ExperimentData from your own data
 ---------------------------------
 
-You can construct a :class:`~f3dasm.design.ExperimentData` object by providing it :ref:`input_data <input-data-format>`, :ref:`output_data <output-data-format>`, a :ref:`domain <domain-format>` object and a :ref:`filename <filename-format>`.
+You can construct a :class:`~f3dasm.ExperimentData` object by providing it :ref:`input_data <input-data-format>`, :ref:`output_data <output-data-format>`, a :ref:`domain <domain-format>` object and a :ref:`filename <filename-format>`.
 
 .. code-block:: python
 
     >>> from f3dasm import ExperimentData
     >>> data = ExperimentData(domain, input_data, output_data)
 
 
-The following sections will explain how to construct a :class:`~f3dasm.design.ExperimentData` object from your own data.
+The following sections will explain how to construct a :class:`~f3dasm.ExperimentData` object from your own data.
 
 .. _domain-format:
 
@@ -154,7 +154,7 @@ Several datatypes are supported for the ``output_data`` argument:
     >>> domain = Domain({'x0': ContinuousParameter(0., 1.)}, 'x1': ContinuousParameter(0., 1.)})    
     >>> data = ExperimentData(input_data="my_experiment_data.csv", domain=domain)
 
-If you don't have output data yet, you can also construct an :class:`~f3dasm.design.ExperimentData` object without providing output data.
+If you don't have output data yet, you can also construct an :class:`~f3dasm.ExperimentData` object without providing output data.
 
 
 .. _filename-format:
@@ -172,7 +172,7 @@ You can provide a string or a path to a directory. If the directory does not exi
     >>> project_dir = "folder/to/my_project_directory"
     >>> data = ExperimentData(project_dir=project_dir)
 
-You can also set the project directoy manually after creation with the :meth:`~f3dasm.design.ExperimentData.set_project_dir` method"
+You can also set the project directoy manually after creation with the :meth:`~f3dasm.ExperimentData.set_project_dir` method"
 
 .. code-block:: python
 
@@ -187,7 +187,7 @@ You can also set the project directoy manually after creation with the :meth:`~f
 ExperimentData from project directory
 -------------------------------------
 
-If you already have constructed the :class:`~f3dasm.design.ExperimentData` object before, you can retrieve it from disk by calling the :meth:`~f3dasm.design.ExperimentData.from_file`
+If you already have constructed the :class:`~f3dasm.ExperimentData` object before, you can retrieve it from disk by calling the :meth:`~f3dasm.ExperimentData.from_file`
 classmethod with the path of project directory:
 
 .. code-block:: python
@@ -200,7 +200,7 @@ classmethod with the path of project directory:
 ExperimentData from a sampling
 ------------------------------
 
-You can directly construct an :class:`~f3dasm.design.ExperimentData` object from a sampling strategy by using the :meth:`~f3dasm.design.ExperimentData.from_sampling` method.
+You can directly construct an :class:`~f3dasm.ExperimentData` object from a sampling strategy by using the :meth:`~f3dasm.ExperimentData.from_sampling` method.
 You have to provide the following arguments:
 
 * A sampling function. To learn more about integrating your sampling function, please refer to :ref:`this <integrating-sampling>` section.
@@ -247,9 +247,9 @@ ExperimentData from a `hydra <https://hydra.cc/>`_ configuration file
 ---------------------------------------------------------------------
 
 If you are using `hydra <https://hydra.cc/>`_ for configuring your experiments, you can use it to construct 
-an :class:`~f3dasm.design.ExperimentData` object from the information in the :code:`config.yaml` file with the :meth:`~f3dasm.design.ExperimentData.from_yaml` method.
+an :class:`~f3dasm.ExperimentData` object from the information in the :code:`config.yaml` file with the :meth:`~f3dasm.ExperimentData.from_yaml` method.
 
-You can create an experimentdata :class:`~f3dasm.design.ExperimentData` object in the same ways as described above, but now using the hydra configuration file.
+You can create an experimentdata :class:`~f3dasm.ExperimentData` object in the same ways as described above, but now using the hydra configuration file.
 
 
 .. code-block:: yaml
@@ -276,7 +276,7 @@ You can create an experimentdata :class:`~f3dasm.design.ExperimentData` object i
     The :class:`~f3dasm.design.Domain` object will be constructed using the :code:`domain` key in the :code:`config.yaml` file. Make sure you have the :code:`domain` key in your :code:`config.yaml`!
     To see how to configure the :class:`~f3dasm.design.Domain` object with hydra, see  :ref:`this <domain-from-yaml>` section.
     
-Inside your python script, you can then create the :class:`~f3dasm.design.ExperimentData` object with the :meth:`~f3dasm.design.ExperimentData.from_yaml` method:
+Inside your python script, you can then create the :class:`~f3dasm.ExperimentData` object with the :meth:`~f3dasm.ExperimentData.from_yaml` method:
 
 .. code-block:: python
 
@@ -289,9 +289,9 @@ Inside your python script, you can then create the :class:`~f3dasm.design.Experi
 
 .. note:: 
 
-    Make sure to pass the full :code:`config` to the :meth:`~f3dasm.design.ExperimentData.from_yaml` constructor!
+    Make sure to pass the full :code:`config` to the :meth:`~f3dasm.ExperimentData.from_yaml` constructor!
 
-To create the :class:`~f3dasm.design.ExperimentData` object with the :meth:`~f3dasm.design.ExperimentData.from_sampling` method, you can use the following configuration:
+To create the :class:`~f3dasm.ExperimentData` object with the :meth:`~f3dasm.ExperimentData.from_sampling` method, you can use the following configuration:
 
 .. code-block:: yaml
    :caption: config.yaml for from_sampling
@@ -320,7 +320,7 @@ To create the :class:`~f3dasm.design.ExperimentData` object with the :meth:`~f3d
     To see how to configure the :class:`~f3dasm.design.Domain` object with hydra, see  :ref:`this <domain-from-yaml>` section.
 
 
-To create the :class:`~f3dasm.design.ExperimentData` object with the :meth:`~f3dasm.design.ExperimentData.from_file` method, you can use the following configuration:
+To create the :class:`~f3dasm.ExperimentData` object with the :meth:`~f3dasm.ExperimentData.from_file` method, you can use the following configuration:
 
 .. code-block:: yaml
    :caption: config.yaml for from_file
@@ -331,7 +331,7 @@ To create the :class:`~f3dasm.design.ExperimentData` object with the :meth:`~f3d
 Adding data after construction
 ------------------------------
 
-If you have constructed your :class:`~f3dasm.design.ExperimentData` object, you can add ``input_data``, ``output_data``, a ``domain`` or the ``filename`` using the :meth:`~f3dasm.design.ExperimentData.add` method:
+If you have constructed your :class:`~f3dasm.ExperimentData` object, you can add ``input_data``, ``output_data``, a ``domain`` or the ``filename`` using the :meth:`~f3dasm.ExperimentData.add` method:
 
 .. code-block:: python
 
@@ -345,7 +345,7 @@ If you have constructed your :class:`~f3dasm.design.ExperimentData` object, you
 
 .. warning::
 
-    You can only add data to an existing :class:`~f3dasm.design.ExperimentData` object if the domain is the same as the existing domain. 
+    You can only add data to an existing :class:`~f3dasm.ExperimentData` object if the domain is the same as the existing domain. 
 
 
 Exporting
@@ -356,7 +356,7 @@ Exporting
 Storing the ExperimentData object
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-The :class:`~f3dasm.design.ExperimentData` object can be exported to a collection of files using the :meth:`~f3dasm.design.ExperimentData.store` method.
+The :class:`~f3dasm.ExperimentData` object can be exported to a collection of files using the :meth:`~f3dasm.ExperimentData.store` method.
 
 .. code-block:: python
 
@@ -369,7 +369,7 @@ Inside the project directory, a subfolder `experiment_data` will be created cont
 - :code:`output.csv`: The :attr:`~f3dasm.design.ExperimentData.output_data` table
 - :code:`jobs.pkl`: The :attr:`~f3dasm.design.ExperimentData.jobs` object
 
-These files are used to load the :class:`~f3dasm.design.ExperimentData` object again using the :meth:`~f3dasm.design.ExperimentData.from_file` method.
+These files are used to load the :class:`~f3dasm.ExperimentData` object again using the :meth:`~f3dasm.ExperimentData.from_file` method.
 
 .. code-block:: python
 
@@ -394,6 +394,6 @@ Storing to other datatypes
 
 Alternatively, you can convert the input- and outputdata of your data-driven process to other well-known datatypes:
 
-* :class:`~numpy.ndarray` (:meth:`~f3dasm.design.ExperimentData.to_numpy`); creates a tuple of two :class:`~numpy.ndarray` objects containing the input- and outputdata.
-* :class:`~xarray.Dataset` (:meth:`~f3dasm.design.ExperimentData.to_xarray`); creates a :class:`~xarray.Dataset` object containing the input- and outputdata.
-* :class:`~pd.DataFrame` (:meth:`~f3dasm.design.ExperimentData.to_pandas`); creates a tuple of two :class:`~pd.DataFrame` object containing the input- and outputdata.
+* :class:`~numpy.ndarray` (:meth:`~f3dasm.ExperimentData.to_numpy`); creates a tuple of two :class:`~numpy.ndarray` objects containing the input- and outputdata.
+* :class:`~xarray.Dataset` (:meth:`~f3dasm.ExperimentData.to_xarray`); creates a :class:`~xarray.Dataset` object containing the input- and outputdata.
+* :class:`~pd.DataFrame` (:meth:`~f3dasm.ExperimentData.to_pandas`); creates a tuple of two :class:`~pd.DataFrame` object containing the input- and outputdata.