diff --git a/_config.yaml b/_config.yaml
new file mode 100644
index 0000000..19a0deb
--- /dev/null
+++ b/_config.yaml
@@ -0,0 +1 @@
+include: ["_sources", "_static"]
diff --git a/_sources/api.rst.txt b/_sources/api.rst.txt
new file mode 100644
index 0000000..f461195
--- /dev/null
+++ b/_sources/api.rst.txt
@@ -0,0 +1,14 @@
+.. _api-label:
+
+TorchFort API 
+=============
+
+The following sections describe the types and functions available in the TorchFort library for C/C++ and Fortran programs and
+the also the configuration file structure and available options.
+
+.. toctree::
+
+ api/config
+ api/c_api
+ api/f_api
+
diff --git a/_sources/api/c_api.rst.txt b/_sources/api/c_api.rst.txt
new file mode 100644
index 0000000..725dfaa
--- /dev/null
+++ b/_sources/api/c_api.rst.txt
@@ -0,0 +1,277 @@
+.. _torchfort_api_c-ref:
+
+###############
+TorchFort C API
+###############
+
+These are all the types and functions available in the TorchFort C API.
+
+*******
+General
+*******
+
+Types
+-----
+
+.. _torchfort_datatype_t-ref:
+
+torchfort_datatype_t
+____________________
+.. doxygenenum :: torchfort_datatype_t
+
+------
+
+.. _torchfort_result_t-ref:
+
+torchfort_result_t
+__________________
+.. doxygenenum :: torchfort_result_t
+
+------
+
+Global Context Settings
+------------------------
+
+These are global routines which affect the behavior of the libtorch backend. It is therefore recommended to call these functions before any other TorchFort calls are made. 
+
+.. _torchfort_set_cudnn_benchmark-ref:
+
+torchfort_set_cudnn_benchmark
+_____________________________
+.. doxygenfunction:: torchfort_set_cudnn_benchmark
+
+
+.. _torchfort_general_c-ref:
+
+*******************
+Supervised Learning
+*******************
+
+Model Creation
+-----------------------------------
+
+.. _torchfort_create_model-ref:
+
+torchfort_create_model
+______________________
+.. doxygenfunction:: torchfort_create_model
+
+------
+
+.. _torchfort_create_distributed-model-ref:
+
+torchfort_create_distributed_model
+__________________________________
+.. doxygenfunction:: torchfort_create_distributed_model
+
+------
+
+Model Training/Inference
+-----------------------------------
+
+.. _torchfort_train-ref:
+
+torchfort_train
+_______________
+.. doxygenfunction:: torchfort_train
+
+------
+
+.. _torchfort_inference-ref:
+
+torchfort_inference
+___________________
+.. doxygenfunction:: torchfort_inference
+
+------
+
+Model Management
+----------------
+
+.. _torchfort_save_model-ref:
+
+torchfort_save_model
+____________________
+.. doxygenfunction:: torchfort_save_model
+
+------
+
+.. _torchfort_load_model-ref:
+
+torchfort_load_model
+____________________
+.. doxygenfunction:: torchfort_load_model
+
+------
+
+.. _torchfort_save_checkpoint-ref:
+
+torchfort_save_checkpoint
+_________________________
+.. doxygenfunction:: torchfort_save_checkpoint
+
+------
+
+.. _torchfort_load_checkpoint-ref:
+
+torchfort_load_checkpoint
+_________________________
+.. doxygenfunction:: torchfort_load_checkpoint
+
+------
+
+Weights and Biases Logging
+--------------------------
+
+.. _torchfort_wandb_log_int-ref:
+
+torchfort_wandb_log_int
+_______________________
+.. doxygenfunction:: torchfort_wandb_log_int
+
+------
+
+.. _torchfort_wandb_log_float-ref:
+
+torchfort_wandb_log_float
+_________________________
+.. doxygenfunction:: torchfort_wandb_log_float
+
+------
+
+.. _torchfort_wandb_log_double-ref:
+
+torchfort_wandb_log_double
+__________________________
+.. doxygenfunction:: torchfort_wandb_log_double
+
+------
+
+.. _torchfort_rl_c-ref:
+
+**********************
+Reinforcement Learning
+**********************
+
+System Creation
+-----------------------------------
+
+Basic routines to create and register a reinforcement learning system in the internal registry. A (synchronous) data parallel distributed option is available.
+
+.. _torchfort_rl_off_policy_create_system-ref:
+		     
+torchfort_rl_off_policy_create_system
+_____________________________________
+.. doxygenfunction:: torchfort_rl_off_policy_create_system
+
+------
+
+.. _torchfort_rl_off_policy_create_distributed_system-ref:
+
+torchfort_rl_off_policy_create_distributed_system
+_________________________________________________
+.. doxygenfunction:: torchfort_rl_off_policy_create_distributed_system
+
+------
+
+Training/Evaluation
+-----------------------------------------
+
+These routines are used for training the reinforcement learning system or for steering the environment. 
+
+.. _torchfort_rl_off_policy_train_step-ref:
+
+torchfort_rl_off_policy_train_step
+__________________________________
+.. doxygenfunction:: torchfort_rl_off_policy_train_step
+
+------
+
+.. _torchfort_rl_off_policy_predict_explore-ref:
+
+torchfort_rl_off_policy_predict_explore
+_______________________________________
+.. doxygenfunction:: torchfort_rl_off_policy_predict_explore
+
+------
+
+.. _torchfort_rl_off_policy_predict-ref:
+
+torchfort_rl_off_policy_predict
+_______________________________
+.. doxygenfunction:: torchfort_rl_off_policy_predict
+
+------
+
+.. _torchfort_rl_off_policy_evaluate-ref:
+
+torchfort_rl_off_policy_evaluate
+________________________________
+.. doxygenfunction:: torchfort_rl_off_policy_evaluate
+
+------
+
+System Management
+-----------------
+
+The purpose of these routines is to manage the reinforcement learning systems internal data. It allows the user to add tuples to the replay buffer and query the system for readiness. Additionally, save and restore functionality is also provided.
+
+.. _torchfort_rl_off_policy_update_replay_buffer-ref:
+
+torchfort_rl_off_policy_update_replay_buffer
+____________________________________________
+.. doxygenfunction:: torchfort_rl_off_policy_update_replay_buffer
+
+------
+
+.. _torchfort_rl_off_policy_is_ready-ref:
+
+torchfort_rl_off_policy_is_ready
+________________________________
+.. doxygenfunction:: torchfort_rl_off_policy_is_ready
+
+------
+
+.. _torchfort_rl_off_policy_save_checkpoint-ref:
+
+torchfort_rl_off_policy_save_checkpoint
+_______________________________________
+.. doxygenfunction:: torchfort_rl_off_policy_save_checkpoint
+
+------
+
+.. _torchfort_rl_off_policy_load_checkpoint-ref:
+
+torchfort_rl_off_policy_load_checkpoint
+_______________________________________
+.. doxygenfunction:: torchfort_rl_off_policy_load_checkpoint
+
+------
+
+
+Weights and Biases Logging
+--------------------------
+
+The reinforcement learning system performs logging for all involved networks automatically during training. The following routines are provided for additional logging of system relevant quantities, such as e.g. the accumulated reward.
+
+.. _torchfort_rl_off_policy_wandb_log_int-ref:
+
+torchfort_rl_off_policy_wandb_log_int
+_____________________________________
+.. doxygenfunction:: torchfort_rl_off_policy_wandb_log_int
+
+------
+
+.. _torchfort_rl_off_policy_wandb_log_float-ref:
+
+torchfort_rl_off_policy_wandb_log_float
+_______________________________________
+.. doxygenfunction:: torchfort_rl_off_policy_wandb_log_float
+
+------
+
+.. _torchfort_rl_off_policy_wandb_log_double-ref:
+
+torchfort_rl_off_policy_wandb_log_double
+________________________________________
+.. doxygenfunction:: torchfort_rl_off_policy_wandb_log_double
diff --git a/_sources/api/config.rst.txt b/_sources/api/config.rst.txt
new file mode 100644
index 0000000..2c4d849
--- /dev/null
+++ b/_sources/api/config.rst.txt
@@ -0,0 +1,448 @@
+.. _torchfort_config-ref:
+
+#############################
+TorchFort Configuration Files
+#############################
+
+The TorchFort library relies on a user-defined YAML configuration file to define several aspects of the training procedure,
+with specific blocks to control:
+
+  - general properties
+  - model properties
+  - optimizer properties
+  - loss function properties
+  - learning rate schedule properties
+
+The following sections define each configuration block and available options.
+
+Common
+======
+
+The following sections list configuration file blocks common to supervised learning and reinforcement learning configuration files.
+
+General Properties
+~~~~~~~~~~~~~~~~~~
+The block in the configuration file defining general properties takes the following structure:
+
+.. code-block:: yaml
+
+  general:
+    <option> = <value>
+
+The following table lists the available options:
+
++-----------------------+-----------+------------------------------------------------------------------------------------------------+
+| Option                | Data Type | Description                                                                                    |
++=======================+===========+================================================================================================+
+| ``report_frequency``  | integer   | frequency of reported TorchFort training/validation output lines to terminal (default = ``0``) |
++-----------------------+-----------+------------------------------------------------------------------------------------------------+
+| ``enable_wandb_hook`` | boolean   | flag to control whether wandb hook is active  (default = ``false``)                            |
++-----------------------+-----------+------------------------------------------------------------------------------------------------+
+| ``verbose``           | boolean   | flag to control verbose output from TorchFort (default = ``false``)                            |
++-----------------------+-----------+------------------------------------------------------------------------------------------------+
+
+For more information about the wandb hook, see :ref:`wandb_support-ref`.
+
+.. _optimizer_properties-ref:
+
+Optimizer Properties
+~~~~~~~~~~~~~~~~~~~~
+The block in the configuration file defining optimizer properties takes the following structure:
+
+.. code-block:: yaml
+
+  optimizer:
+    type: <optimizer_type>
+    parameters:
+      <option> = <value>
+
+The following table lists the available optimizer types:
+
++----------------+---------------------------------------+
+| Optimizer Type | Description                           |
++================+=======================================+
+| ``sgd``        | Stochastic Gradient Descent optimizer |
++----------------+---------------------------------------+
+| ``adam``       | ADAM optimizer                        |
++----------------+---------------------------------------+
+
+
+The following table lists the available options by optimizer type:
+
++----------------+-------------------+-----------+-------------------------------------------------------------------------------------------+
+| Optimizer Type | Option            | Data Type | Description                                                                               |
++================+===================+===========+===========================================================================================+
+| ``sgd``        | ``learning_rate`` | float     | learning rate (default = ``0.001``)                                                       |
++                +-------------------+-----------+-------------------------------------------------------------------------------------------+
+|                | ``momentum``      | float     | mometum factor (default = ``0.0``)                                                        |
++                +-------------------+-----------+-------------------------------------------------------------------------------------------+
+|                | ``dampening``     | float     | dampening for momentum (default = ``0.0``)                                                |
++                +-------------------+-----------+-------------------------------------------------------------------------------------------+
+|                | ``weight_decay``  | float     | weight decay/L2 penalty (default = ``0.0``)                                               |
++                +-------------------+-----------+-------------------------------------------------------------------------------------------+
+|                | ``nesterov``      | boolean   | enables Nesterov momentum (default = ``false``)                                           |
++----------------+-------------------+-----------+-------------------------------------------------------------------------------------------+
+| ``adam``       | ``learning_rate`` | float     | learning rate (default = ``0.001``)                                                       |
++                +-------------------+-----------+-------------------------------------------------------------------------------------------+
+|                | ``beta1``         | float     | coefficient used for computing running average of gradient (default = ``0.9``)            |
++                +-------------------+-----------+-------------------------------------------------------------------------------------------+
+|                | ``beta2``         | float     | coefficient use for computing running average of square of gradient (default = ``0.999``) |
++                +-------------------+-----------+-------------------------------------------------------------------------------------------+
+|                | ``weight_decay``  | float     | weight decay/L2 penalty (default = ``0.0``)                                               |
++                +-------------------+-----------+-------------------------------------------------------------------------------------------+
+|                | ``eps``           | float     | term added to denominator to improve numerical stability (default = ``1e-8``)             |
++                +-------------------+-----------+-------------------------------------------------------------------------------------------+
+|                | ``amsgrad``       | boolean   | whether to use AMSGrad variant (default = ``false``)                                      |
++----------------+-------------------+-----------+-------------------------------------------------------------------------------------------+
+
+.. _lr_schedule_properties-ref:
+
+Learning Rate Schedule Properties
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The block in the configuration file defining learning rate schedule properties takes the following structure:
+
+.. code-block:: yaml
+
+  lr_scheduler:
+    type: <schedule_type>
+    parameters:
+      <option> = <value>
+
+The following table lists the available schedule types:
+
++----------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------+
+| Schedule Type        | Description                                                                                                                                                  |
++======================+==============================================================================================================================================================+
+| ``step``             | Decays learning rate by multiplicative factor every ``step_size`` training iterations                                                                        |
++----------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------+
+| ``multistep``        | Decays learning rate by multiplicative factor at user-defined training iteration milestones                                                                  |
++----------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------+
+| ``polynomial``       | Decays learning rate by polynomial function                                                                                                                  |
++----------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------+
+| ``cosine_annealing`` | Decays learning rate using cosine annealing schedule. See PyTorch documentation of                                                                           |
+|                      | `torch.optim.lr_scheduler.CosineAnnealingLR <https://pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.CosineAnnealingLR.html>`_ for more details.  |
++----------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------+
+
+The following table lists the available options by schedule type:
+
++----------------------+-----------------+-----------------+------------------------------------------------------------------+
+| Schedule Type        | Option          | Data Type       | Description                                                      |
++======================+=================+=================+==================================================================+
+| ``step``             | ``step_size``   | integer         | Number of training steps between learning rate decay             |
++                      +-----------------+-----------------+------------------------------------------------------------------+
+|                      | ``gamma``       | float           | Multiplicative factor of learning rate decay (default = ``0.1``) |
++----------------------+-----------------+-----------------+------------------------------------------------------------------+
+| ``multistep``        | ``milestones``  | list of integer | Training step milestones for learning rate decay                 |
++                      +-----------------+-----------------+------------------------------------------------------------------+
+|                      | ``gamma``       | float           | Multiplicative factor of learning rate decay (default = ``0.1``) |
++----------------------+-----------------+-----------------+------------------------------------------------------------------+
+| ``polynomial``       | ``total_iters`` | integer         | Number of training iterations to decay the learning rate         |
++                      +-----------------+-----------------+------------------------------------------------------------------+
+|                      | ``power``       | float           | The power of the polynomial (default = ``1.0``)                  |
++----------------------+-----------------+-----------------+------------------------------------------------------------------+
+| ``cosine_annealing`` | ``eta_min``     | float           | Minumum learning rate (default = ``0.0``)                        |
++                      +-----------------+-----------------+------------------------------------------------------------------+
+|                      | ``T_max``       | float           | Maximum number of iterations for decay                           |
++----------------------+-----------------+-----------------+------------------------------------------------------------------+
+
+Supervised Learning
+===================
+
+The following sections list configuration file blocks specific to supervised learning configuration files.
+
+.. _model_properties-ref:
+
+Model Properties
+~~~~~~~~~~~~~~~~~~
+The block in the configuration file defining model properties takes the following structure:
+
+.. code-block:: yaml
+
+  model:
+    type: <model_type>
+    parameters:
+      <option> = <value>
+
+The following table lists the available model types:
+
++-----------------+------------------------------------------------+
+| Model Type      | Description                                    |
++=================+================================================+
+| ``torchscript`` | Load a model from an exported TorchScript file |
++-----------------+------------------------------------------------+
+| ``mlp``         | Use built-in MLP model                         |
++-----------------+------------------------------------------------+
+
+
+The following table lists the available options by model type:
+
++-----------------+-----------------+------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
+| Model Type      | Option          | Data Type        | Description                                                                                                                                                                        |
++=================+=================+==================+====================================================================================================================================================================================+
+| ``torchscript`` | ``filename``    | string           | path to TorchScript exported model file                                                                                                                                            |
++-----------------+-----------------+------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
+| ``mlp``         | ``layer_sizes`` | list of integers | sequence of input/output sizes for linear layers e.g., ``[16, 32, 4]`` will create two linear layers with input/output of 16/32 for the first layer and 32/4 for the second layer. |
++                 +-----------------+------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
+|                 | ``dropout``     | float            | probability of an element to be zeroed in dropout layers (default = ``0.0``)                                                                                                       |
++-----------------+-----------------+------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
+
+
+Loss Properties
+~~~~~~~~~~~~~~~~~~~~
+The block in the configuration file defining loss properties takes the following structure:
+
+.. code-block:: yaml
+
+  loss:
+    type: <loss_type>
+    parameters:
+      <option> = <value>
+
+The following table lists the available loss types:
+
++-----------+-----------------------+
+| Loss Type | Description           |
++===========+=======================+
+| ``l1``    | L1/Mean Average Error |
++-----------+-----------------------+
+| ``mse``   | Mean Squared Error    |
++-----------+-----------------------+
+
+The following table lists the available options by loss type:
+
++-----------+---------------+-----------+-------------------------------------------------------------------------------------------------------------------+
+| Loss Type | Option        | Data Type | Description                                                                                                       |
++===========+===============+===========+===================================================================================================================+
+| ``l1``    | ``reduction`` | string    | Specifies type of reduction to apply to output. Can be either ``none``, ``mean`` or ``sum``. (default = ``mean``) |
++-----------+---------------+-----------+-------------------------------------------------------------------------------------------------------------------+
+| ``mse``   | ``reduction`` | string    | Specifies type of reduction to apply to output. Can be either ``none``, ``mean`` or ``sum``. (default = ``mean``) |
++-----------+---------------+-----------+-------------------------------------------------------------------------------------------------------------------+
+
+
+Reinforcement Learning
+======================
+
+The following sections list configuration file blocks specific to reinforcement learning system configuration files.
+
+Reinforcement Learning Training Algorithm Properties
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The block in the configuration file defining algorithm properties takes the following structure:
+
+.. code-block:: yaml
+
+  algorithm:
+    type: <algorithm_type>
+    parameters:
+      <option> = <value>
+      
+The following table lists the available algorithm types:
+
++----------------+-----------------------------------------------------------------------------------------------------------------------------------------------+
+| Algorithm Type | Description                                                                                                                                   |
++================+===============================================================================================================================================+
+| ``ddpg``       | Deterministic Policy Gradient. See `DDPG documentation by OpenAI <https://spinningup.openai.com/en/latest/algorithms/ddpg.html>`_ for details |
++----------------+-----------------------------------------------------------------------------------------------------------------------------------------------+
+| ``td3``        | Twin Delayed DDPG. See `TD3 documentation by OpenAI <https://spinningup.openai.com/en/latest/algorithms/td3.html>`_ for details               |
++----------------+-----------------------------------------------------------------------------------------------------------------------------------------------+
+| ``sac``        | Soft Actor Critic. See `SAC documentation by OpenAI <https://spinningup.openai.com/en/latest/algorithms/sac.html>`_ for details               |
++----------------+-----------------------------------------------------------------------------------------------------------------------------------------------+
+
+The following table lists the available options by algorithm type:
+
++----------------+----------------------------+------------+-------------------------------------------------------------------------------------------+
+| Algorithm Type | Option                     | Data Type  | Description                                                                               |
++================+============================+============+===========================================================================================+
+| ``ddpg``       | ``batch_size``             | integer    | batch size used in training                                                               |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``nstep``                  | integer    | number of steps for N-step training                                                       |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``nstep_reward_reduction`` | string     | reduction mode for N-step training (see below)                                            |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``gamma``                  | float      | discount factor                                                                           |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``rho``                    | boolean    | weight average factor for target weights (in some frameworks called rho = 1-tau)          |
++----------------+----------------------------+------------+-------------------------------------------------------------------------------------------+
+| ``td3``        | ``batch_size``             | integer    | batch size used in training                                                               |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``nstep``                  | integer    | number of steps for N-step training                                                       |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``nstep_reward_reduction`` | string     | reduction mode for N-step training (see below)                                            |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``gamma``                  | float      | discount factor                                                                           |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``rho``                    | float      | weight average factor for target weights (in some frameworks called rho = 1-tau)          |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``num_critics``            | integer    | number of critic networks used                                                            |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``policy_lag``             | integer    | update frequency for the policy in units of critic updates                                |
++----------------+----------------------------+------------+-------------------------------------------------------------------------------------------+
+| ``sac``        | ``batch_size``             | integer    | batch size used in training                                                               |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``nstep``                  | integer    | number of steps for N-step training                                                       |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``nstep_reward_reduction`` | string     | reduction mode for N-step training (see below)                                            |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``gamma``                  | float      | discount factor                                                                           |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``alpha``                  | float      | entropy regularization coefficient                                                        |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``rho``                    | boolean    | weight average factor for target weights (in some frameworks called rho = 1-tau)          |
++                +----------------------------+------------+-------------------------------------------------------------------------------------------+
+|                | ``policy_lag``             | integer    | update frequency for the policy in units of value updates                                 |
++----------------+----------------------------+------------+-------------------------------------------------------------------------------------------+
+
+The parameter ``nstep_reward_reduction`` defines how the reward is accumulated over N-step rollouts. The options are summarized in a table below (:math:`N` is the value from parameter ``nstep`` described above):
+
++------------------------------------------------+---------------------------------------------------------------------------------------+
+| Reduction Mode                                 | Description                                                                           |
++================================================+=======================================================================================+
+| ``sum`` or ``sum_no_skip``                     | :math:`r = \sum_{i=1}^{N^\ast} \gamma^{i-1} r_i`                                      |
++------------------------------------------------+---------------------------------------------------------------------------------------+
+| ``mean`` or ``mean_no_skip``                   | :math:`r = \sum_{i=1}^{N^\ast} \gamma^{i-1} r_i / N^\ast`                             |
++------------------------------------------------+---------------------------------------------------------------------------------------+
+| ``weighted_mean`` or ``weighted_mean_no_skip`` | :math:`r = \sum_{i=1}^{N^\ast} \gamma^{i-1} r_i / (\sum_{k=1}^{N^\ast} \gamma^{k-1})` |
++------------------------------------------------+---------------------------------------------------------------------------------------+
+
+Here, the value of :math:`N^\ast` depends on whether reduction with or without skip is being chosen. In case of the former, :math:`N^\ast = N` and the replay buffer is searching for trajectories with **at least** :math:`N` steps. If the trajectory terminates earlier, the sample is skipped and a new one is searched. If **all trajectories are shorter** than :math:`N` steps, the replay buffer **will never find** a suitable sample. 
+
+In this case, it is useful to use the modes with the additional suffix ``_no_skip``. In this case, :math:`N^{\ast}` in the formulas will be equal to the minimum of :math:`N` and the number of steps needed to reach the end of the trajectory. The regular and no-skip modes are both useful in different occasions, so it is important to be clear about how the reward structure has to be designed in order to achieve the desired goals.
+
+Replay Buffer Properties
+~~~~~~~~~~~~~~~~~~~~~~~~
+The block in the configuration file defining algorithm properties takes the following structure:
+
+.. code-block:: yaml
+
+  replay_buffer:
+    type: <replay_buffer_type>
+    parameters:
+      <option> = <value>
+      
+Currently, only type ``uniform`` is supported. The following table lists the available options:
+
++---------------------------+-----------------+-----------------+------------------------------------------------------------------+
+| Replay Buffer Type        | Option          | Data Type       | Description                                                      |
++===========================+=================+=================+==================================================================+
+| ``uniform``               | ``min_size``    | integer         | Minimum number of samples before buffer is ready for training    |
++                           +-----------------+-----------------+------------------------------------------------------------------+
+|                           | ``max_size``    | integer         | Maximum capacity                                                 |
++---------------------------+-----------------+-----------------+------------------------------------------------------------------+
+
+Action Properties
+~~~~~~~~~~~~~~~~~
+The block in the configuration file defining action properties takes the following structure:
+
+.. code-block:: yaml
+
+  action:
+    type: <action_type>
+    parameters:
+      <option> = <value>
+
+The following table lists the available options for every action type for ``ddpg`` and ``td3`` algorithms:
+
++----------------------------------------------+-------------------+------------+-------------------------------------------------------------------+
+| Action Type                                  | Option            | Data Type  | Description                                                       |
++==============================================+===================+============+===================================================================+
+| ``space_noise`` or ``parameter_noise``       | ``a_low``         | float      | lower bound for action value                                      |
++                                              +-------------------+------------+-------------------------------------------------------------------+
+|                                              | ``a_high``        | float      | upper bound for action value                                      |
++                                              +-------------------+------------+-------------------------------------------------------------------+
+|                                              | ``clip``          | float      | clip value for training noise                                     |
++                                              +-------------------+------------+-------------------------------------------------------------------+
+|                                              | ``sigma_train``   | float      | standard deviation for gaussian training noise                    |
++                                              +-------------------+------------+-------------------------------------------------------------------+
+|                                              | ``sigma_explore`` | float      | standard deviation for gaussian exploration noise                 |
++                                              +-------------------+------------+-------------------------------------------------------------------+
+|                                              | ``adaptive``      | bool       | flag to specify whether the standard deviation should be adaptive |
++----------------------------------------------+-------------------+------------+-------------------------------------------------------------------+
+| ``space_noise_ou`` or ``parameter_noise_ou`` | ``a_low``         | float      | lower bound for action value                                      |
++                                              +-------------------+------------+-------------------------------------------------------------------+
+|                                              | ``a_high``        | float      | upper bound for action value                                      |
++                                              +-------------------+------------+-------------------------------------------------------------------+
+|                                              | ``clip``          | float      | clip value for training noise                                     |
++                                              +-------------------+------------+-------------------------------------------------------------------+
+|                                              | ``sigma_train``   | float      | standard deviation for Ornstein-Uhlenbeck training noise          |
++                                              +-------------------+------------+-------------------------------------------------------------------+
+|                                              | ``sigma_explore`` | float      | standard deviation for Ornstein-Uhlenbeck exploration noise       |
++                                              +-------------------+------------+-------------------------------------------------------------------+
+|                                              | ``xi``            | float      | mean reversion parameter for Ornstein-Uhlenbeck noise             |
++                                              +-------------------+------------+-------------------------------------------------------------------+
+|                                              | ``dt``            | float      | time-step parameter for Ornstein-Uhlenbeck noise                  |
++                                              +-------------------+------------+-------------------------------------------------------------------+
+|                                              | ``adaptive``      | bool       | flag to specify whether the standard deviation should be adaptive |
++----------------------------------------------+-------------------+------------+-------------------------------------------------------------------+
+
+The meaning for most of these parameters should be evident from looking at the details of the implementations for the various RL algorithms linked above. 
+However, some parameters require a more detailed explanation: in general, the suffix ``_ou`` refers to stateful noise of Ornstein-Uhlenbeck type with zero drift. This noise type is often used if correlation between time steps is desired and thus popular in reinforcement learning. Check out the `wikipedia page <https://en.wikipedia.org/wiki/Ornstein–Uhlenbeck_process>`_ for details.
+
+The prefix ``space`` refers to applying the noise to the predicted ation directly. For example, if :math:`p` is our (deterministic) policy function, an exploration action using space noise type is obtained by computing 
+
+.. math::
+
+    \tilde{a} = \mathrm{clip}(p(\theta, s) + \mathcal{N}(0,\sigma_\mathrm{explore}), a_\mathrm{low}, a_\mathrm{high}) 
+    
+for any input state :math:`s` and policy weights :math:`\theta`. In case of parameter noise, the noise will be applied to each weight of :math:`p` instead. Hence, the noised action is computed  via
+
+.. math::
+
+    \tilde{a} = \mathrm{clip}(p(\theta + \mathcal{N}(0,\sigma_\mathrm{explore}), s), a_\mathrm{low}, a_\mathrm{high}) 
+    
+The parameter ``adaptive`` specifies whether the noise variance :math:`\sigma` should be taken relative to the magnitude of the action magnitudes or weight magnitudes for space and parameter noise respectively. In terms of the former, this would mean that
+
+.. math::
+    
+    a &= p(\theta, s)
+    
+    \tilde{a} &= \mathrm{clip}(a + \sigma_\mathrm{explore}\,\mathcal{N}(0,\|a\|), a_\mathrm{low}, a_\mathrm{high}) 
+
+and analogous for parameter noise.
+
+Whichever noise type and parameters are the best highly depends on the behavior of the environment and therefore we cannot give a general recommendation.
+
+For algorithm type ``sac``, only action bounds are supported as the noise is built into the algorithm and cannot be customized.
+
+Policy and Critic Properties
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The block in the configuration file defining model properties for actor/policy and critic/value are similar to the supervised learning case (see :ref:`model_properties-ref`). In this case, TorchFort supports different model properties for policy and critic. The block configuration looks as follows:
+
+.. code-block:: yaml
+
+  critic_model:
+    type: <critic_model_type>
+    parameters:
+      <option> = <value>
+
+  policy_model:
+    type: <policy_model_type>
+    parameters:
+      <option> = <value>
+
+Refer to the :ref:`model_properties-ref` for available model types and options.
+
+.. note::
+
+    For algorithms which use multiple critics networks such as TD3, the critic model is copied internally ``num_critic`` times and the weights are randomly initialized for each of these models independently.
+    
+.. note::
+    
+    In case of SAC algorithm, make sure that the policy network not only returns the mean actions value tensor but also the log probability sigma tensor. As an example see the policy function implementation of `stable baselines <https://github.com/DLR-RM/stable-baselines3/blob/master/stable_baselines3/sac/policies.py>`_.
+
+Learning Rate Schedule Properties
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+For reinforcement learning, TorchFort supports different learning rate schedules for policy and critic. The block configuration looks as follows:
+
+.. code-block:: yaml
+
+  critic_lr_scheduler:
+    type: <schedule_type>
+    parameters:
+      <option> = <value>
+
+  policy_lr_scheduler:
+    type: <schedule_type>
+    parameters:
+      <option> = <value>
+
+Refer to the :ref:`lr_schedule_properties-ref` for available scheduler types and options.
+
diff --git a/_sources/api/f_api.rst.txt b/_sources/api/f_api.rst.txt
new file mode 100644
index 0000000..9993827
--- /dev/null
+++ b/_sources/api/f_api.rst.txt
@@ -0,0 +1,475 @@
+.. _torchfort_api_f-ref:
+
+#####################
+TorchFort Fortran API
+#####################
+
+These are all the types and functions available in the TorchFort Fortran API.
+
+********
+General
+********
+
+Types
+-----
+
+.. _torchfort_datatype_t-f-ref:
+
+torchfort_datatype
+__________________
+See documentation for equivalent C enumerator, :ref:`torchfort_datatype_t-ref`.
+
+------
+
+.. _torchfort_result_t-f-ref:
+
+torchfort_result
+________________
+See documentation for equivalent C enumerator, :ref:`torchfort_result_t-ref`.
+
+------
+
+Global Context Settings
+------------------------
+
+These are global routines which affect the behavior of the libtorch backend. It is therefore recommended to call these functions before any other TorchFort calls are made. 
+
+.. _torchfort_set_cudnn_benchmark-f-ref:
+
+torchfort_set_cudnn_benchmark
+_____________________________
+.. f:function :: torchfort_set_cudnn_benchmark(flag)
+
+  Enables or disables cuDNN benchmark mode. See the `PyTorch documentation <https://pytorch.org/docs/stable/backends.html#torch.backends.cudnn.torch.backends.cudnn.benchmark>`_ for more details.
+  
+  :p logical flag[in]: A flag to enable (:code:`.true.`) or disable (:code:`.false.`) cuDNN kernel benchmarking.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+
+------
+
+.. _torchfort_general_f-ref:
+
+*******************
+Supervised Learning
+*******************
+
+Model Creation
+-----------------------------------
+
+.. _torchfort_create_model-f-ref:
+
+torchfort_create_model
+______________________
+
+.. f:function:: torchfort_create_model(name, config_fname)
+
+  Creates a model from a provided configuration file.
+
+  :p character(:) handle [in]: A name to assign to the created model instance to use as a key for other TorchFort routines.
+  :p character(:) config_fname [in]: The filesystem path to the user-defined model configuration file to use.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+  
+------
+
+.. _torchfort_create_distributed_model-f-ref:
+
+torchfort_create_distributed_model
+__________________________________
+
+.. f:function:: torchfort_create_distributed_model(name, config_fname, mpi_comm)
+
+  Creates a distributed data-parallel model from a provided configuration file.
+
+ :p character(:) handle [in]: A name to assign to the created model instance to use as a key for other TorchFort routines.
+ :p character(:) config_fname [in]: The filesystem path to the user-defined configuration file to use.
+ :p integer mpi_comm [in]: MPI communicator to use to initialize NCCL communication library for data-parallel communication.
+ :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+
+------
+
+Model Training/Inference
+-----------------------------------
+
+.. _torchfort_train-f-ref:
+
+torchfort_train
+_______________
+
+.. f:function:: torchfort_train(mname, input, label, loss_val, stream)
+
+  Runs a training iteration of a model instance using provided input and label data.
+  
+  For this operation, :code:`T` can be one of :code:`real(real32)`, :code:`real(real64)`
+  
+  :p character(:) mname [in]: The key of the model instance.
+  :p T(*) input [in]: An array containing the input data. The last array dimension should be the batch dimension, the other dimensions are the feature dimensions.
+  :p T(*) label [in]: An array containing the label data. The last array dimension should be the batch dimension. :code:`label` does not need to be of the same shape as :code:`input` but the batch dimension should match. Additionally, :code:`label` should be of the same rank as `input`.
+  :p T loss_val [out]: A variable that will hold the loss value computed during the training iteration.
+  :p integer(cuda_stream_kind) stream[in,optional]: CUDA stream to enqueue the training operations.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+  
+------
+
+.. _torchfort_inference-f-ref:
+
+torchfort_inference
+___________________
+
+.. f:function:: torchfort_inference(mname, input, output, stream)
+
+   Runs inference on a model using provided input data.
+   
+   For this operation, :code:`T` can be one of :code:`real(real32)`, :code:`real(real64)`
+   
+   :p character(:) mname [in]: The key of the model instance.
+   :p T(*) input [in]: An array containing the input data. The last array dimension should be the batch dimension, the other dimensions are the feature dimensions.
+   :p T(*) output [out]: An array which will hold the output of the model. The last array dimension should be the batch dimension. :code:`output` does not need to be of the same shape as :code:`input` but the batch dimension should match. Additionally, :code:`output` should be of the same rank as `input`. 
+   :p integer(cuda_stream_kind) stream[in,optional]: CUDA stream to enqueue the training operations.
+   :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+   
+------
+
+Model Management
+----------------
+
+.. _torchfort_save_model-f-ref:
+
+torchfort_save_model
+____________________
+
+.. f:function:: torchfort_save_model(mname, fname)
+
+  Saves a model to file.
+  
+  :p character(:) mname [in]: The name of model instance to save, as defined during model creation.
+  :p character(:) fname [in]: The filename to save the model weights to.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+
+------
+
+.. _torchfort_load_model-f-ref:
+
+torchfort_load_model
+____________________
+
+.. f:function:: torchfort_load_model(mname, fname)
+
+  Loads a model from a file.
+  
+  :p character(:) mname [in]: The name of model instance to load the model weights to, as defined during model creation.
+  :p character(:) fname [in]: The filename to load the model weights from.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+
+------
+
+.. _torchfort_save_checkpoint-f-ref:
+
+torchfort_save_checkpoint
+_________________________
+
+.. f:function:: torchfort_save_checkpoint(mname, checkpoint_dir)
+
+  Saves a training checkpoint to a directory. In contrast to :code:`torchfort_save_model`, this function saves additional state to restart training, like the optimizer states and learning rate schedule progress.
+  
+  :p character(:) mname [in]: The name of model instance to save, as defined during model creation.
+  :p character(:) checkpoint_dir [in]: A writeable filesystem path to a directory to save the checkpoint data to.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+
+------
+
+.. _torchfort_load_checkpoint-f-ref:
+
+torchfort_load_checkpoint
+_________________________
+
+.. f:function:: torchfort_load_checkpoint(mname, checkpoint_dir)
+
+  Loads a training checkpoint from a directory. In contrast to :code:`torchfort_load_model`, this function loads additional state to restart training, like the optimizer states and learning rate schedule progress.
+  
+  :p character(:) mname [in]: The name of model instance to load checkpoint data into, as defined during model creation.
+  :p character(:) checkpoint_dir [in]: A readable filesystem path to a directory to load the checkpoint data from.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+  
+------
+
+Weights and Biases Logging
+--------------------------
+
+.. _torchfort_wandb_log_int-f-ref:
+
+torchfort_wandb_log_int
+_______________________
+
+.. f:function:: torchfort_wandb_log_int(mname, metric_name, step, val)
+   
+   Write an integer value to a Weights and Bias log. Use the :code:`_float` and :code:`_double` variants to write :code:`real32` and :code:`real64` values respectively. 
+   
+   :p character(:) mname [in]: The name of model instance to associate this metric value with, as defined during model creation.
+   :p character(:) metric_name [in]: Metric label.
+   :p integer step [in]: Training/inference step to associate with metric value.
+   :p integer val [in]: Metric value to log.
+   :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+
+------
+
+.. _torchfort_wandb_log_float-f-ref:
+
+torchfort_wandb_log_float
+_________________________
+
+.. f:function:: torchfort_wandb_log_float(mname, metric_name, step, val)
+
+------
+
+.. _torchfort_wandb_log_double-f-ref:
+
+torchfort_wandb_log_double
+__________________________
+
+.. f:function:: torchfort_wandb_log_double(mname, metric_name, step, val)
+
+------
+
+.. _torchfort_rl_f-ref:
+
+**********************
+Reinforcement Learning
+**********************
+
+System Creation
+-----------------------------------
+
+Basic routines to create and register a reinforcement learning system in the internal registry. A (synchronous) data parallel distributed option is available.
+
+.. _torchfort_rl_off_policy_create_system-f-ref:
+
+torchfort_rl_off_policy_create_system
+_____________________________________
+
+.. f:function:: torchfort_rl_off_policy_create_system(name, config_fname)
+
+  Creates an off-policy reinforcement learning training system instance from a provided configuration file.
+
+  :p character(:) name [in]: A name to assign to the created training system instance to use as a key for other TorchFort routines.
+  :p character(:) config_fname [in]: The filesystem path to the user-defined configuration file to use.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+  
+------
+
+.. _torchfort_rl_off_policy_create_distributed_system-f-ref:
+
+torchfort_rl_off_policy_create_distributed_system
+_________________________________________________
+
+.. f:function:: torchfort_rl_off_policy_create_distributed_system(name, config_fname, mpi_comm)
+
+  Creates a (synchronous) data-parallel off-policy reinforcement learning system instance from a provided configuration file.
+
+  :p character(:) name [in]: A name to assign to the created training system instance to use as a key for other TorchFort routines.
+  :p character(:) config_fname [in]: The filesystem path to the user-defined configuration file to use.
+  :p integer mpi_comm [in]: MPI communicator to use to initialize NCCL communication library for data-parallel communication.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+  
+------
+
+Training/Evaluation
+-----------------------------------------
+
+These routines are be used for training the reinforcement learning system or for steering the environment. 
+
+.. _torchfort_rl_off_policy_train_step-f-ref:
+
+torchfort_rl_off_policy_train_step
+__________________________________
+
+.. f:function:: torchfort_rl_off_policy_train_step(name, p_loss_val, q_loss_val, stream)
+
+  Runs a training iteration of an off-policy refinforcement learning instance and returns loss values for policy and value functions.
+  This routine samples a batch of specified size from the replay buffer according to the buffers sampling procedure
+  and performs a train step using this sample. The details of the training procedure are abstracted away from the user and depend on the 
+  chosen system algorithm.
+  For this operation, :code:`T` can be one of :code:`real(real32)`, :code:`real(real64)`
+  
+  :p character(:) name [in]: The name of system instance to use, as defined during system creation.
+  :p T p_loss_val [out]: A single or double precision variable which will hold the policy loss value computed during the training iteration.
+  :p T q_loss_val [out]: A single or double precision variable which will hold the critic loss value computed during the training iteration, averaged over all available critics (depends on the chosen algorithm).
+  :p integer(cuda_stream_kind) stream[in,optional]: CUDA stream to enqueue the training operations.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+  
+------
+
+.. _torchfort_rl_off_policy_predict_explore-f-ref:
+
+torchfort_rl_off_policy_predict_explore
+_______________________________________
+
+.. f:function:: torchfort_rl_off_policy_predict_explore(name, state, act, stream)
+
+  Suggests an action based on the current state of the system and adds noise as specified by the coprresponding reinforcement learning system. 
+  Depending on the reinforcement learning algorithm used, the prediction is performed by the main network (not the target network). In contrast to :code:`torchfort_rl_off_policy_predict`, this routine adds noise and thus is called explorative. The kind of noise is specified during system creation.
+  
+  For this operation, :code:`T` can be one of :code:`real(real32)`, :code:`real(real64)`
+  
+  :p character(:) name [in]: The name of system instance to use, as defined during system creation.
+  :p T state [in]: Multi-dimensional array of size (..., :code:`batch_size`), depending on the dimensionality of the state space.
+  :p T act [out]: Multi-dimensional array of size (..., :code:`batch_size`), depending on the dimensionality of the action space.
+  :p integer(cuda_stream_kind) stream [in,optional]: CUDA stream to enqueue the operation.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+
+------
+
+.. _torchfort_rl_off_policy_predict-f-ref:
+
+torchfort_rl_off_policy_predict
+_______________________________________
+
+.. f:function:: torchfort_rl_off_policy_predict(name, state, act, stream)
+
+  Suggests an action based on the current state of the system. 
+  Depending on the algorithm used, the prediction is performed by the target network. 
+  In contrast to :code:`torchfort_rl_off_policy_predict_explore`, this routine does not add noise, which means it is exploitative.
+  
+  For this operation, :code:`T` can be one of :code:`real(real32)`, :code:`real(real64)`
+  
+  :p character(:) name [in]: The name of system instance to use, as defined during system creation.
+  :p T state [in]: Multi-dimensional array of size (..., :code:`batch_size`), depending on the dimensionality of the state space.
+  :p T act [out]: Multi-dimensional array of size (..., :code:`batch_size`), depending on the dimensionality of the action space.
+  :p integer(cuda_stream_kind) stream [in,optional]: CUDA stream to enqueue the operation.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+  
+------
+
+.. _torchfort_rl_off_policy_evaluate-f-ref:
+
+torchfort_rl_off_policy_evaluate
+________________________________
+
+.. f:function:: torchfort_rl_off_policy_evaluate(name, state, act, reward, stream)
+
+  Predicts the future reward based on the current state and selected action.
+  Depending on the learning algorithm, the routine queries the target critic networks for this. 
+  The routine averages the predictions over all critics.
+  
+  For this operation, :code:`T` can be one of :code:`real(real32)`, :code:`real(real64)`
+  
+  :p character(:) name [in]: The name of system instance to use, as defined during system creation.
+  :p T state [in]: Multi-dimensional array of size (..., :code:`batch_size`), depending on the dimensionality of the state space.
+  :p T act [in]: Multi-dimensional array of size (..., :code:`batch_size`), depending on the dimensionality of the action space.
+  :p T reward [out]: Two-dimensional array of size (1, :code:`batch_size`) which will hold the predicted reward values.
+  :p integer(cuda_stream_kind) stream [in,optional]: CUDA stream to enqueue the operation.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+ 
+------
+
+System Management
+-----------------
+
+.. _torchfort_rl_off_policy_update_replay_buffer-f-ref:
+
+torchfort_rl_off_policy_update_replay_buffer
+____________________________________________
+
+.. f:function:: torchfort_rl_off_policy_update_replay_buffer(name, state_old, act_old, state_new, reward, terminal, stream)
+  
+  Adds a new :math:`(s, a, s', r, d)` tuple to the replay buffer. Here :math:`s` (:code:`state_old`) is the state for which action :math:`a` (:code:`action_old`) was taken, leading to :math:`s'` (:code:`state_new`) and receiving reward :math:`r` (:code:`reward`). The terminal state flag :math:`d` (:code:`final_state`) specifies whether :math:`s'` is the final state in the episode.
+  
+  For this operation, :code:`T` can be one of :code:`real(real32)`, :code:`real(real64)`
+  
+  :p character(:) name [in]: The name of system instance to use, as defined during system creation.
+  :p T state_old [in]: Multi-dimensional array of size of the state space.
+  :p T act_old [in]: Multi-dimensional array of size of the action space.
+  :p T state_new [in]: Multi-dimensional array of size of the state space.
+  :p T reward [in]: Reward value.
+  :p logical final_state [in]: Terminal flag.
+  :p integer(cuda_stream_kind) stream [in,optional]: CUDA stream to enqueue the operation.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+
+------
+ 
+.. _torchfort_rl_off_policy_is_ready-f-ref:
+ 
+torchfort_rl_off_policy_is_ready
+________________________________
+ 
+.. f:function:: torchfort_rl_off_policy_is_ready(name, ready)
+ 
+  Queries a reinforcement learning system for rediness to start training.
+  A user should call this method before starting training to make sure the reinforcement learning system is ready.
+  This ensures that the replay buffer is filled sufficiently with exploration data as specified during system creation. 
+  
+  :p character(:) name [in]: The name of system instance to use, as defined during system creation.
+  :p logical ready [out]: Logical indicating if the system is ready for training.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+
+------
+
+.. _torchfort_rl_off_policy_save_checkpoint-f-ref:
+ 
+torchfort_rl_off_policy_save_checkpoint
+_______________________________________
+ 
+.. f:function:: torchfort_rl_off_policy_save_checkpoint(name, checkpoint_dir)
+
+  Saves a reinforcement learning training checkpoint to a directory. 
+  This method saves all models (policies, critics, target models if available) together with their corresponding optimizer and LR scheduler.
+  states. It also saves the state of the replay buffer, to allow for smooth restarts of reinforcement learning training processes.
+  This function should be used in conjunction with :code:`torchfort_rl_off_policy_load_checkpoint`.
+  
+  :p character(:) name [in]: The name of system instance to use, as defined during system creation.
+  :p character(:) checkpoint_dir [in]: A filesystem path to a directory to save the checkpoint data to.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+  
+------
+
+.. _torchfort_rl_off_policy_load_checkpoint-f-ref:
+ 
+torchfort_rl_off_policy_load_checkpoint
+_______________________________________
+ 
+.. f:function:: torchfort_rl_off_policy_load_checkpoint(name, checkpoint_dir)
+
+  Restores a reinforcement learning system from a checkpoint. 
+  This method restores all models (policies, critics, target models if available) together with their corresponding optimizer and LR scheduler
+  states. It also fully restores the state of the replay buffer, but not the current RNG seed.
+  This function should be used in conjunction with :code:`torchfort_rl_off_policy_save_checkpoint`.
+  
+  :p character(:) name [in]: The name of system instance to use, as defined during system creation.
+  :p character(:) checkpoint_dir [in]: A filesystem path to a directory which contains the checkpoint data to load.
+  :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+
+Weights and Biases Logging
+--------------------------
+
+.. _torchfort_rl_off_policy_wandb_log_int-f-ref:
+
+torchfort_rl_off_policy_wandb_log_int
+_____________________________________
+
+.. f:function:: torchfort_rl_off_policy_wandb_log_int(mname, metric_name, step, val)
+   
+   Write an integer value to a Weights and Bias log. Use the :code:`_float` and :code:`_double` variants to write :code:`real32` and :code:`real64` values respectively. 
+   
+   :p character(:) mname [in]: The name of model instance to associate this metric value with, as defined during model creation.
+   :p character(:) metric_name [in]: Metric label.
+   :p integer step [in]: Training/inference step to associate with metric value.
+   :p integer val [in]: Metric value to log.
+   :r torchfort_result res: :code:`TORCHFORT_RESULT_SUCCESS` on success or error code on failure.
+
+------
+
+.. _torchfort_rl_off_policy_wandb_log_float-f-ref:
+
+torchfort_rl_off_policy_wandb_log_float
+_______________________________________
+
+.. f:function:: torchfort_rl_off_policy_wandb_log_float(mname, metric_name, step, val)
+
+------
+
+.. _torchfort_rl_off_policy_wandb_log_double-f-ref:
+
+torchfort_rl_off_policy_wandb_log_double
+________________________________________
+
+.. f:function:: torchfort_rl_off_policy_wandb_log_double(mname, metric_name, step, val)
+
diff --git a/_sources/extras.rst.txt b/_sources/extras.rst.txt
new file mode 100644
index 0000000..de1262b
--- /dev/null
+++ b/_sources/extras.rst.txt
@@ -0,0 +1,62 @@
+Extras
+======
+
+.. _wandb_support-ref:
+
+Weights and Biases Support
+--------------------------
+
+`Weights and Biases <https://wandb.ai/site>`_ (wandb) is a popular tool for monitoring machine learning training workflows. Wandb supports plotting and comparing loss curves and other relevant deep learning metrics, system utilization (including GPU, CPU and memory utilization) and other advanced logging functionalities like uploading images and/or videos, network weights and data artifacts.
+
+Since wandb does currently not offer a C++ interface and thus cannot be called from Fortran or C/C++ directly, we've implemented a wandb daemon written in Python instead. This daemon runs as a background process and waits for changes in a log file generated by the TorchFort application. In order to enable wandb support for your TorchFort application, the following steps have to be performed.
+
+Add Custom Metrics Reporting to Application
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The TorchFort training routines already provide logging of training step, loss values as well as learning rate which are captured by the wandb daemon. Additional custom metrics can be added manually by the user. For this purpose, the user may add calls of ``torchfort_wandb_log`` or ``torchfort_rl_off_policy_wandb_log`` for traditional and reinforcement learning applications respectively (see :ref:`supervised_learning-ref` and :ref:`reinforcement_learning-ref` for details about why we provide different implementations for these two cases). For more information, see :ref:`torchfort_api_c-ref` for C/C++ and :ref:`torchfort_api_f-ref` for Fortran applications.
+
+Set up Environment
+~~~~~~~~~~~~~~~~~~
+
+You need to specify your `wandb api token <https://docs.wandb.ai/guides/track/public-api-guide#authentication>`_ via the environment variable ``WANDB_API_KEY`` (see the `wandb documentation on available environment variables <https://docs.wandb.ai/guides/track/environment-variables#multiple-wandb-users-on-shared-machines>`_ for details).
+Furthermore, the daemon needs to know where the the wandb logging data from the TorchFort application will be stored. This can be done by defining the environment variable ``TORCHFORT_LOGDIR``. Lastly, a user0defined wandb logging directory ``WANDB_LOGGING_DIR`` can be created to gather all wandb information as well as the config file in a place specific to the run. 
+
+.. note::
+    The logging directory ``TORCHFORT_LOGDIR`` needs to be specified before the daemon and TorchFort application are launched.
+
+Start Background Watcher Process
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Now, the wandb daemon process needs to be started. Assuming TorchFort was installed in ``TORCHFORT_INSTALL_DIR``, we can run
+
+.. code-block:: bash
+
+    python ${TORCHFORT_INSTALL_DIR}/bin/python/wandb_helper.py \
+                --wandb_dir=${WANDB_LOGGING_DIR} \
+                --wandb_group=<wandb-group-name> \
+                --wandb_project=<wandb-project-name> \
+                --wandb_entity=<wandb-entity-name> \
+                --run_tag=<run-name> \
+                --timeout=2400 &
+                           
+The wandb group, project as well as entity name correspond to the wandb project you are logging to. Those correspond to the respective arguments of ``wandb.init`` documented `here <https://docs.wandb.ai/ref/python/init>`_. Note that the group does not need to exist and will be created during initialization. The run tag can be any alphanumeric string and can be used to identify the specific run on the wandb dashboard. Lastly, the timeout (measured in seconds) determines for how long the background process will wait for changes to appear in ``${TORCHFORT_LOGIDR}/torchfort.log`` before wrapping up the monitoring.
+
+.. note::
+    Do not forget to launch the daemon into the background.
+
+Start Your TorchFort Application
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+In the configuration file for your TorchFort application, make sure to enable wandb logging in the ``general`` section by adding or modifying the line ``enable_wandb_hook: 1``. Lastly, start the TorchFort application as usual, e.g.:
+
+.. code-block:: bash
+
+    ./my_torchfort_app arg1 arg2 arg3
+    
+The daemone process will pick up the log lines from ``${TORCHFORT_LOGIDR}/torchfort.log`` and display the data on the corresponding job dashboard.
+
+.. note::
+    The daemon can finalize the monitoring while the TorchFort application is still running if the timeout is not set sufficiently large, especially for long running applications with very sparse logging.
+    
+
+
diff --git a/_sources/index.rst.txt b/_sources/index.rst.txt
new file mode 100644
index 0000000..9a992ca
--- /dev/null
+++ b/_sources/index.rst.txt
@@ -0,0 +1,38 @@
+.. TorchFort documentation master file, created by
+   sphinx-quickstart on Wed Jun  1 13:44:41 2022.
+   You can adapt this file completely to your liking, but it should at least
+   contain the root `toctree` directive.
+
+TorchFort: An Online Deep Learning Interface for HPC programs on NVIDIA GPUs
+=============================================================================
+These pages contain the documentation for TorchFort, an online deep learning interface for HPC programs.
+
+TorchFort is a DL training and inference interface for HPC programs implemented using LibTorch, the C++ backend used by the `PyTorch <https://pytorch.org>`_ framework.
+The goal of this library is to help practitioners and domain scientists to seamlessly combine their simulation codes with Deep Learning functionalities available 
+within PyTorch.
+This library can be invoked directly from Fortran or C/C++ programs, enabling transparent sharing of data arrays to and from the DL framework all contained within the
+simulation process (i.e., no external glue/data-sharing code required). The library can directly load PyTorch model definitions exported to TorchScript and implements a
+configurable training process that users can control via a simple YAML configuration file format. The configuration files enable users to specify optimizer and loss selection,
+learning rate schedules, and much more.
+
+Please contact us or open a GitHub issue if you are interested in using this library
+in your own solvers and have questions on usage and/or feature requests.  
+
+
+Table of Contents
+=================
+.. toctree::
+   :maxdepth: 4
+
+   installation
+   usage
+   api
+   extras
+
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
diff --git a/_sources/installation.rst.txt b/_sources/installation.rst.txt
new file mode 100644
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+++ b/_sources/installation.rst.txt
@@ -0,0 +1,76 @@
+Installation
+============
+
+TorchFort can be installed in multiple ways but we highly recommend building and using a Docker container. 
+
+Docker Installation
+-------------------
+
+We provide a ``Dockerfile`` which contains all relevant dependencies. In order to build TorchFort using Docker, simply clone the repo and call:
+
+.. code-block:: bash
+
+    docker build -t torchfort:latest -f docker/Dockerfile .
+
+from the top level directory of the repo. Inside the container, TorchFort will be installed in ``/opt/torchfort``.
+
+CMake Installation
+------------------
+
+For a native installation TorchFort provides a ``CMakeList.txt`` file. Please make sure that the following required packages are installed on your system before installing TorchFort:
+
+* Requirements for core functionality and examples:
+
+  - CUDA 11.8 (CUDA 12.x is **not** supported yet)
+  - ``python`` version 3.6 or higher
+  - ``pybind11``
+  - ``yaml-cpp`` from https://github.com/jbeder/yaml-cpp.git
+  - C++ compiler ``nvcc`` and Fortran compiler ``nvfortran``. We recommend installing the `NVIDIA HPC SDK Toolkit <https://developer.nvidia.com/hpc-sdk>`_.
+  - ``HDF5``
+  - the Python modules specified in ``requirements.txt``
+
+* Additional requirements for building this documentation:
+
+  - Doxygen
+  - the Python modules specified in ``docs/requirements.txt``
+
+To build TorchFort, clone the repo and set the environment variable ``NVHPC_CMAKE_DIR`` to the directory where the NVIDIA HPC SDK Toolkit CMake config files are located. Those are usually located in ``<NVHPC root directory>/cmake``. Then, call from the root directory:
+
+.. code-block:: bash
+
+    mkdir build && cd build
+    cmake -DCMAKE_INSTALL_PREFIX=<TorchFort installation prefix> \
+          -DNVHPC_CUDA_VERSION=11.8 \
+          -DCMAKE_PREFIX_PATH="`python -c 'import torch;print(torch.utils.cmake_prefix_path)'`;${NHPC_CMAKE_DIR}" \
+        ..
+    make -j install
+
+    
+Build Documentation
+-------------------
+
+The documentation can be built with the corresponding ``Makefile`` in the ``docs`` directory. Make sure that the requirements are installed and call:
+
+.. code-block:: bash
+
+    cd docs && make html
+
+The docs will be located in ``docs/_build/html`` and can be viewed locally in your web browser. 
+
+Directory Structure
+-------------------
+
+Independent of how you decide to install TorchFort, the directory structure will be as follows::
+
+    <TorchFort installation prefix>
+    |--- bin
+         |--- examples
+              |--- cpp
+              |--- fortran
+         |--- python
+    |--- include
+    |--- lib
+    
+The ``bin`` folder contains the examples written in C++ or Fortran located in the corresponding subdirectories. The ``python`` subfolder contains the Python wrappers for :ref:`wandb_support-ref`.
+
+The Fortran module ``torchfort.mod`` as well as the C headers can be found inside the ``include`` folder and the dynamic libraries inside the ``lib`` folder.
diff --git a/_sources/usage.rst.txt b/_sources/usage.rst.txt
new file mode 100644
index 0000000..2efda77
--- /dev/null
+++ b/_sources/usage.rst.txt
@@ -0,0 +1,280 @@
+Usage Guide
+===========
+
+TorchFort provides API functions to support two common Deep Learning paradigms: supervised learning and reinforcement learning. Due to the differences in structure between these approaches, the API
+is organized largely into separate sets of functions designed to facilitate each approach. 
+
+.. _supervised_learning-ref:
+
+Supervised Learning
+-------------------
+
+Supervised learning approaches are by far the most common within Deep Learning. TorchFort provides functions to create/load/save models and run supervised training and inference on models, all directly within a C/C++/Fortran program.
+For a complete list of functions available, see :ref:`torchfort_general_c-ref` for C/C++ or :ref:`torchfort_general_f-ref` for Fortran bindings.
+
+
+Here, we will provide a high-level guide to using TorchFort for a supervised learning problem. For a more detailed usage example, we refer to the ``simulation`` example provided in this repository in the ``examples/fortran`` directory.
+
+Creating a model
+~~~~~~~~~~~~~~~~~
+First, create a model instance.
+
+.. tabs::
+
+  .. code-tab:: fortran
+
+    istat = torchfort_create_model(model_name, configfile)
+
+  .. code-tab:: c++
+
+    istat = torchfort_create_model(model_name, configfile);
+
+This function instantiates a model, associating a string ``model_name`` with a model instance created using a YAML configuration file located at path ``configfile``. See :ref:`torchfort_config-ref` for details
+on the YAML configuration file format and options.
+
+Run a Training Step
+~~~~~~~~~~~~~~~~~~~
+Run a training step on input and label data generated from your program.
+
+.. tabs::
+
+  .. code-tab:: fortran
+
+    istat = torchfort_train(model_name, input, label, loss, stream)
+
+  .. code-tab:: c++
+
+    istat = torchfort_train(model_name,
+                            input, input_dim, input_shape,
+                            label, label_dim, label_shape,
+                            loss, dtype, stream);
+
+This function passes the ``input`` and ``label`` data to the model instance associated with ``model_name`` and runs a training iteration, updating the model parameters as necessary. The training loss is returned by reference to the ``loss`` variable.
+In the Fortran API, ``input`` and ``label`` are multi-dimensional Fortran arrays, with dimension/shape/datatype information automatically inferred in the interface.
+
+Run Inference to generate predicted output
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+After training the model on one or more samples, we can run an inference to generate a predicted output.
+
+.. tabs::
+
+  .. code-tab:: fortran
+
+    istat = torchfort_inference(model_name, input, output, stream)
+
+  .. code-tab:: c++
+
+    istat = torchfort_inference(model_name,
+                                input, output_dim, output_shape,
+                                output, output_dim, output_shape,
+                                dtype, stream);
+
+This function passes the ``input`` data to the model instance associated with ``model_name`` and runs an inference, returning the predicted output from the model to ``output``.
+In the Fortran API, ``input`` and ``output`` are multi-dimensional Fortran arrays, with dimension/shape/datatype information automatically inferred in the interface.
+
+Checkpoint/Restart
+~~~~~~~~~~~~~~~~~~
+The complete training state (current model parameters, optimizer state, learning rate scheduler progress) can be written to a checkpoint directory at any point during training.
+
+.. tabs::
+
+  .. code-tab:: fortran
+
+    istat = torchfort_save_checkpoint(model_name, directory_name)
+
+  .. code-tab:: c++
+
+    istat = torchfort_save_checkpoint(model_name, directory_name);
+
+This function will write checkpoint data for the model instance associated with ``model_name`` to the directory provided by ``directory_name``. The directory will contain several subdirectories and files
+containing required information for restart.
+
+To load a checkpoint into a created model instance, run the following:
+
+.. tabs::
+
+  .. code-tab:: fortran
+
+    istat = torchfort_load_checkpoint(model_name, directory_name, step_train, step_inference)
+
+  .. code-tab:: c++
+
+    istat = torchfort_load_checkpoint(model_name, directory_name, step_train, step_inference);
+
+This function will load the checkpoint data from the directory ``directory_name`` into the model instance associated with ``model_name``. ``step_train`` and ``step_inference`` are the checkpointed training step and inference step
+respectively, returned by reference.
+
+For inference, only the model and not a full checkpoint needs to be loaded. For this, run the following function instead:
+
+.. tabs::
+
+  .. code-tab:: fortran
+
+    istat = torchfort_load_model(model_name, model_file)
+
+  .. code-tab:: c++
+
+    istat = torchfort_load_checkpoint(model_name, model_file);
+
+This function will load the model data from the file ``model_file`` into the model instance associated with ``model_name``. The model file
+can be one generated using the ``torchfort_save_model`` function or one found within a saved checkpoint directory, found at ``<checkpoint directory name>/model.pt``.
+
+.. _reinforcement_learning-ref:
+
+Reinforcement Learning
+----------------------
+
+Most modern reinforcement learning (RL) algorithms utilize different neural networks for policy and value functions and often require keeping track of multiple copies for each of the models (e.g., the `DDPG <https://spinningup.openai.com/en/latest/algorithms/ddpg.html>`_ or `TD3 <https://spinningup.openai.com/en/latest/algorithms/td3.html>`_ algorithms). Furthermore, the training algorithm causes those networks to interact in a non-trivial way. Additionally, off-policy methods require keeping track of historic data stored in a replay buffers, keeping track of actions and system states and rewards. Many reinforcement learning algorithms are deterministic in nature and thus require manual injection of randomness into the training process by employing parameter or action space noise. 
+
+The practitioner who seeks to employ these methods is often not interested in implementing all these features by hand, since it would significantly increase the complexity of the wrapped simulation application. In fact, most of these features can be reused among a broad range of applications. Therefore, instead of providing access to all the individual parts, TorchFort encapsulates all these details into a structure we call an ``rl_system`` and abstracts all the bookeeping away from the user. The user only has to configure the system and then ensure that data is added to the replay buffer and training steps or action predictions are performed whenever it is necessary from the simulation code. Routines for reinforcement learning routines are prefixed with ``torchfort_rl_off_policy``. 
+Currently, TorchFort only provides off-policy methods as those have been proven to be most versatile and powerful for a broad range of tasks. On-policy methods may be added in the future, hence we distinguish between these two cases in the TorchFort API.
+
+We will provide a high-level guide for users who would like to add reinforcement learning functionality to their code. We assume that the user is familiar with the basic concepts of deep and reinforcement learning and understands the possibilities and limitations of these methods. This guide is far from exhaustive and for a complete list of reinforcement learning functions see :ref:`torchfort_rl_c-ref` for C/C++ or :ref:`torchfort_rl_f-ref` for Fortran respectively. We also suggest reviewing the ``example`` folder where we have implemented the cartpole RL problem in C++ using TorchFort.
+
+Creating an RL system
+~~~~~~~~~~~~~~~~~~~~~
+
+To start, a TorchFort rl system has to be initialized with the call:
+
+.. tabs::
+
+  .. code-tab:: fortran
+  
+    istat = torchfort_rl_off_policy_create_system(system_name, configfile)
+    
+  .. code-tab:: c++
+
+    istat = torchfort_rl_off_policy_create_system(system_name, configfile);
+
+where ``system_name`` is a name which used by TorchFort to identify the system created using  YAML configuration file ``configfile``. See :ref:`torchfort_config-ref` for details on the YAML configuration file format and options.
+
+Replay Buffer Management
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+The user application (usually called *environment* in the RL context) will generate states and rewards based on actions suggested by the policy function or some other mechanism. For off-policy methods, this information needs to be passed to the replay buffer from which the training process will sample. This is performed via:
+    
+.. tabs::
+
+  .. code-tab:: fortran
+  
+    istat = torchfort_rl_off_policy_update_replay_buffer(system_name, state_old, action, state_new, reward, terminal, stream)
+    
+  .. code-tab:: c++
+  
+    istat = torchfort_rl_off_policy_update_replay_buffer(system_name, 
+                                                         state_old, state_new, state_dim, state_shape,
+                                                         action, action_dim, action_shape, 
+                                                         reward, terminal, dtype, stream);
+
+``state_old`` is an array describing the old environment state to which ``action`` is applied, resulting in a new environment state ``state_new`` and a corresponding scalar ``reward``. The variable ``terminal`` is a flag which specifies whether the end of an episode is reached. In the Fortran API, the states and actions are multi-dimensional Fortran arrays with dimension/shape/datatype automatically inferred in the interface. In the C++ API, all arrays are ``void`` pointers and the state and action dimensions and shapes have to be passed explicitly.
+
+.. note::
+    The update replay buffer functions expect a single tuple containing single samples and hence no batch dimension should be included.
+    
+.. warning::
+    It is important to mention that this function should be called in causal order on the state tuples, i.e., the data inserted into the replay buffer should contain subsequent steps of the environment. In case of n-step rollouts, the sampling logic assumes that the list of tuples are ordered causally and different trajectories are separated by a terminal flag set to true for the last step in trajectory. Any non-causal ordering would likely yield sub-optimal training performance.
+
+Before training can start, the replay buffer needs to contain a minimum number of state-action tuples. The readiness can be queried with:
+
+.. tabs::
+
+  .. code-tab:: fortran
+  
+    istat = torchfort_rl_off_policy_is_ready(system_name, ready)
+    
+  .. code-tab:: c++
+  
+    istat = torchfort_rl_off_policy_is_ready(system_name, ready);
+
+
+Generating Action Predictions
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+TorchFort provides the following two functions to generate action predictions from the policy network infrastructure:
+
+.. tabs::
+
+  .. code-tab:: fortran
+
+    istat = torchfort_rl_off_policy_predict(system_name, state, action, stream)
+    
+    istat = torchfort_rl_off_policy_predict_explore(system_name, state, action, stream)
+    
+  .. code-tab:: c++
+  
+    istat = torchfort_rl_off_policy_predict(system_name, 
+                                            state, state_dim, state_shape,
+                                            action, action_dim, action_shape,
+                                            dtype, stream);
+                                            
+    istat = torchfort_rl_off_policy_predict_explore(system_name, 
+                                                    state, state_dim, state_shape,
+                                                    action, action_dim, action_shape,
+                                                    dtype, stream);
+    
+Both functions predict an ``action`` based on a ``state``. The first variant generates a deterministic prediction from the target network (for algorithms which use target networks, i.e., a shadow network which gets updated less often than the active networks the regular weight updates are applied to). The second variant generates a prediction using the active network and also adds noise as specified in the configuration file.
+
+.. note::
+    The prediction methods are inference methods and thus expect a batch of data. Therefore, the state and action arrays need to include a batch dimension.
+
+Training Step
+~~~~~~~~~~~~~
+
+Once the system is ready, a training step (forward, backward, optimizer step, learning rate decay) can be performed by calling:
+
+.. tabs::
+
+  .. code-tab:: fortran
+  
+    istat = torchfort_rl_off_policy_train_step(system_name, p_loss, q_loss)
+    
+  .. code-tab:: c++
+  
+    istat = torchfort_rl_off_policy_train_step(system_name, p_loss, q_loss);
+    
+This function will retrieve a single batch from the replay buffer and perform a training step, populating the variables ``p_loss``, ``q_loss`` by reference. 
+
+.. note::
+    If the RL algorithm uses a policy lag bigger than zero, for some steps only the value function networks are updated. In this case, ``p_loss`` is not computed and will be equal to zero.
+
+Checkpoint/Restart
+~~~~~~~~~~~~~~~~~~
+
+At any time during or after training, a checkpoint of the full system can be stored using:
+
+.. tabs::
+
+  .. code-tab:: fortran
+  
+    istat = torchfort_rl_off_policy_save_checkpoint(system_name, directory_name)
+    
+  .. code-tab:: c++
+  
+    istat = torchfort_rl_off_policy_save_checkpoint(system_name, directory_name);
+    
+This will save everything from the RL system with name ``system_name`` into the directory with name ``directory_name``. This checkpoint includes all models, i.e. all value and policy functions, active and target, multiple critics, etc. It will also save all optimizer and learning rate scheduler states. Additionally, the function will also save the replay buffer data and additional information such as episode number. This is required for being able to restore the full state of the RL system via:
+
+.. tabs::
+
+  .. code-tab:: fortran
+
+    istat = torchfort_rl_off_policy_load_checkpoint(system_name, directory_name)
+    
+  .. code-tab:: c++
+  
+    istat = torchfort_rl_off_policy_load_checkpoint(system_name, directory_name)
+    
+This function is only required if RL training from the checkpoint should be resumed. In an inference setting, where only the policy should be run, the method:
+
+.. tabs::
+
+  .. code-tab:: fortran
+
+    istat = torchfort_load_model(model_name, policy_model_file);
+    
+  .. code-tab:: c++
+  
+    istat = torchfort_load_model(model_name, policy_model_file);
+    
+can be used instead. The model instance should be created beforehand using the methods described in the :ref:`supervised_learning-ref` section. 
+
diff --git a/_static/_sphinx_javascript_frameworks_compat.js b/_static/_sphinx_javascript_frameworks_compat.js
new file mode 100644
index 0000000..8549469
--- /dev/null
+++ b/_static/_sphinx_javascript_frameworks_compat.js
@@ -0,0 +1,134 @@
+/*
+ * _sphinx_javascript_frameworks_compat.js
+ * ~~~~~~~~~~
+ *
+ * Compatability shim for jQuery and underscores.js.
+ *
+ * WILL BE REMOVED IN Sphinx 6.0
+ * xref RemovedInSphinx60Warning
+ *
+ */
+
+/**
+ * select a different prefix for underscore
+ */
+$u = _.noConflict();
+
+
+/**
+ * small helper function to urldecode strings
+ *
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL
+ */
+jQuery.urldecode = function(x) {
+    if (!x) {
+        return x
+    }
+    return decodeURIComponent(x.replace(/\+/g, ' '));
+};
+
+/**
+ * small helper function to urlencode strings
+ */
+jQuery.urlencode = encodeURIComponent;
+
+/**
+ * This function returns the parsed url parameters of the
+ * current request. Multiple values per key are supported,
+ * it will always return arrays of strings for the value parts.
+ */
+jQuery.getQueryParameters = function(s) {
+    if (typeof s === 'undefined')
+        s = document.location.search;
+    var parts = s.substr(s.indexOf('?') + 1).split('&');
+    var result = {};
+    for (var i = 0; i < parts.length; i++) {
+        var tmp = parts[i].split('=', 2);
+        var key = jQuery.urldecode(tmp[0]);
+        var value = jQuery.urldecode(tmp[1]);
+        if (key in result)
+            result[key].push(value);
+        else
+            result[key] = [value];
+    }
+    return result;
+};
+
+/**
+ * highlight a given string on a jquery object by wrapping it in
+ * span elements with the given class name.
+ */
+jQuery.fn.highlightText = function(text, className) {
+    function highlight(node, addItems) {
+        if (node.nodeType === 3) {
+            var val = node.nodeValue;
+            var pos = val.toLowerCase().indexOf(text);
+            if (pos >= 0 &&
+                !jQuery(node.parentNode).hasClass(className) &&
+                !jQuery(node.parentNode).hasClass("nohighlight")) {
+                var span;
+                var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg");
+                if (isInSVG) {
+                    span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+                } else {
+                    span = document.createElement("span");
+                    span.className = className;
+                }
+                span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+                node.parentNode.insertBefore(span, node.parentNode.insertBefore(
+                    document.createTextNode(val.substr(pos + text.length)),
+                    node.nextSibling));
+                node.nodeValue = val.substr(0, pos);
+                if (isInSVG) {
+                    var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect");
+                    var bbox = node.parentElement.getBBox();
+                    rect.x.baseVal.value = bbox.x;
+                    rect.y.baseVal.value = bbox.y;
+                    rect.width.baseVal.value = bbox.width;
+                    rect.height.baseVal.value = bbox.height;
+                    rect.setAttribute('class', className);
+                    addItems.push({
+                        "parent": node.parentNode,
+                        "target": rect});
+                }
+            }
+        }
+        else if (!jQuery(node).is("button, select, textarea")) {
+            jQuery.each(node.childNodes, function() {
+                highlight(this, addItems);
+            });
+        }
+    }
+    var addItems = [];
+    var result = this.each(function() {
+        highlight(this, addItems);
+    });
+    for (var i = 0; i < addItems.length; ++i) {
+        jQuery(addItems[i].parent).before(addItems[i].target);
+    }
+    return result;
+};
+
+/*
+ * backward compatibility for jQuery.browser
+ * This will be supported until firefox bug is fixed.
+ */
+if (!jQuery.browser) {
+    jQuery.uaMatch = function(ua) {
+        ua = ua.toLowerCase();
+
+        var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
+            /(webkit)[ \/]([\w.]+)/.exec(ua) ||
+            /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
+            /(msie) ([\w.]+)/.exec(ua) ||
+            ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
+            [];
+
+        return {
+            browser: match[ 1 ] || "",
+            version: match[ 2 ] || "0"
+        };
+    };
+    jQuery.browser = {};
+    jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
+}
diff --git a/_static/basic.css b/_static/basic.css
new file mode 100644
index 0000000..eeb0519
--- /dev/null
+++ b/_static/basic.css
@@ -0,0 +1,899 @@
+/*
+ * basic.css
+ * ~~~~~~~~~
+ *
+ * Sphinx stylesheet -- basic theme.
+ *
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/* -- main layout ----------------------------------------------------------- */
+
+div.clearer {
+    clear: both;
+}
+
+div.section::after {
+    display: block;
+    content: '';
+    clear: left;
+}
+
+/* -- relbar ---------------------------------------------------------------- */
+
+div.related {
+    width: 100%;
+    font-size: 90%;
+}
+
+div.related h3 {
+    display: none;
+}
+
+div.related ul {
+    margin: 0;
+    padding: 0 0 0 10px;
+    list-style: none;
+}
+
+div.related li {
+    display: inline;
+}
+
+div.related li.right {
+    float: right;
+    margin-right: 5px;
+}
+
+/* -- sidebar --------------------------------------------------------------- */
+
+div.sphinxsidebarwrapper {
+    padding: 10px 5px 0 10px;
+}
+
+div.sphinxsidebar {
+    float: left;
+    width: 230px;
+    margin-left: -100%;
+    font-size: 90%;
+    word-wrap: break-word;
+    overflow-wrap : break-word;
+}
+
+div.sphinxsidebar ul {
+    list-style: none;
+}
+
+div.sphinxsidebar ul ul,
+div.sphinxsidebar ul.want-points {
+    margin-left: 20px;
+    list-style: square;
+}
+
+div.sphinxsidebar ul ul {
+    margin-top: 0;
+    margin-bottom: 0;
+}
+
+div.sphinxsidebar form {
+    margin-top: 10px;
+}
+
+div.sphinxsidebar input {
+    border: 1px solid #98dbcc;
+    font-family: sans-serif;
+    font-size: 1em;
+}
+
+div.sphinxsidebar #searchbox form.search {
+    overflow: hidden;
+}
+
+div.sphinxsidebar #searchbox input[type="text"] {
+    float: left;
+    width: 80%;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+div.sphinxsidebar #searchbox input[type="submit"] {
+    float: left;
+    width: 20%;
+    border-left: none;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+
+img {
+    border: 0;
+    max-width: 100%;
+}
+
+/* -- search page ----------------------------------------------------------- */
+
+ul.search {
+    margin: 10px 0 0 20px;
+    padding: 0;
+}
+
+ul.search li {
+    padding: 5px 0 5px 20px;
+    background-image: url(file.png);
+    background-repeat: no-repeat;
+    background-position: 0 7px;
+}
+
+ul.search li a {
+    font-weight: bold;
+}
+
+ul.search li p.context {
+    color: #888;
+    margin: 2px 0 0 30px;
+    text-align: left;
+}
+
+ul.keywordmatches li.goodmatch a {
+    font-weight: bold;
+}
+
+/* -- index page ------------------------------------------------------------ */
+
+table.contentstable {
+    width: 90%;
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.contentstable p.biglink {
+    line-height: 150%;
+}
+
+a.biglink {
+    font-size: 1.3em;
+}
+
+span.linkdescr {
+    font-style: italic;
+    padding-top: 5px;
+    font-size: 90%;
+}
+
+/* -- general index --------------------------------------------------------- */
+
+table.indextable {
+    width: 100%;
+}
+
+table.indextable td {
+    text-align: left;
+    vertical-align: top;
+}
+
+table.indextable ul {
+    margin-top: 0;
+    margin-bottom: 0;
+    list-style-type: none;
+}
+
+table.indextable > tbody > tr > td > ul {
+    padding-left: 0em;
+}
+
+table.indextable tr.pcap {
+    height: 10px;
+}
+
+table.indextable tr.cap {
+    margin-top: 10px;
+    background-color: #f2f2f2;
+}
+
+img.toggler {
+    margin-right: 3px;
+    margin-top: 3px;
+    cursor: pointer;
+}
+
+div.modindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+div.genindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+/* -- domain module index --------------------------------------------------- */
+
+table.modindextable td {
+    padding: 2px;
+    border-collapse: collapse;
+}
+
+/* -- general body styles --------------------------------------------------- */
+
+div.body {
+    min-width: 360px;
+    max-width: 800px;
+}
+
+div.body p, div.body dd, div.body li, div.body blockquote {
+    -moz-hyphens: auto;
+    -ms-hyphens: auto;
+    -webkit-hyphens: auto;
+    hyphens: auto;
+}
+
+a.headerlink {
+    visibility: hidden;
+}
+a.brackets:before,
+span.brackets > a:before{
+    content: "[";
+}
+
+a.brackets:after,
+span.brackets > a:after {
+    content: "]";
+}
+
+
+h1:hover > a.headerlink,
+h2:hover > a.headerlink,
+h3:hover > a.headerlink,
+h4:hover > a.headerlink,
+h5:hover > a.headerlink,
+h6:hover > a.headerlink,
+dt:hover > a.headerlink,
+caption:hover > a.headerlink,
+p.caption:hover > a.headerlink,
+div.code-block-caption:hover > a.headerlink {
+    visibility: visible;
+}
+
+div.body p.caption {
+    text-align: inherit;
+}
+
+div.body td {
+    text-align: left;
+}
+
+.first {
+    margin-top: 0 !important;
+}
+
+p.rubric {
+    margin-top: 30px;
+    font-weight: bold;
+}
+
+img.align-left, figure.align-left, .figure.align-left, object.align-left {
+    clear: left;
+    float: left;
+    margin-right: 1em;
+}
+
+img.align-right, figure.align-right, .figure.align-right, object.align-right {
+    clear: right;
+    float: right;
+    margin-left: 1em;
+}
+
+img.align-center, figure.align-center, .figure.align-center, object.align-center {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+img.align-default, figure.align-default, .figure.align-default {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+.align-left {
+    text-align: left;
+}
+
+.align-center {
+    text-align: center;
+}
+
+.align-default {
+    text-align: center;
+}
+
+.align-right {
+    text-align: right;
+}
+
+/* -- sidebars -------------------------------------------------------------- */
+
+div.sidebar,
+aside.sidebar {
+    margin: 0 0 0.5em 1em;
+    border: 1px solid #ddb;
+    padding: 7px;
+    background-color: #ffe;
+    width: 40%;
+    float: right;
+    clear: right;
+    overflow-x: auto;
+}
+
+p.sidebar-title {
+    font-weight: bold;
+}
+div.admonition, div.topic, blockquote {
+    clear: left;
+}
+
+/* -- topics ---------------------------------------------------------------- */
+div.topic {
+    border: 1px solid #ccc;
+    padding: 7px;
+    margin: 10px 0 10px 0;
+}
+
+p.topic-title {
+    font-size: 1.1em;
+    font-weight: bold;
+    margin-top: 10px;
+}
+
+/* -- admonitions ----------------------------------------------------------- */
+
+div.admonition {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    padding: 7px;
+}
+
+div.admonition dt {
+    font-weight: bold;
+}
+
+p.admonition-title {
+    margin: 0px 10px 5px 0px;
+    font-weight: bold;
+}
+
+div.body p.centered {
+    text-align: center;
+    margin-top: 25px;
+}
+
+/* -- content of sidebars/topics/admonitions -------------------------------- */
+
+div.sidebar > :last-child,
+aside.sidebar > :last-child,
+div.topic > :last-child,
+div.admonition > :last-child {
+    margin-bottom: 0;
+}
+
+div.sidebar::after,
+aside.sidebar::after,
+div.topic::after,
+div.admonition::after,
+blockquote::after {
+    display: block;
+    content: '';
+    clear: both;
+}
+
+/* -- tables ---------------------------------------------------------------- */
+
+table.docutils {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    border: 0;
+    border-collapse: collapse;
+}
+
+table.align-center {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.align-default {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table caption span.caption-number {
+    font-style: italic;
+}
+
+table caption span.caption-text {
+}
+
+table.docutils td, table.docutils th {
+    padding: 1px 8px 1px 5px;
+    border-top: 0;
+    border-left: 0;
+    border-right: 0;
+    border-bottom: 1px solid #aaa;
+}
+
+th {
+    text-align: left;
+    padding-right: 5px;
+}
+
+table.citation {
+    border-left: solid 1px gray;
+    margin-left: 1px;
+}
+
+table.citation td {
+    border-bottom: none;
+}
+
+th > :first-child,
+td > :first-child {
+    margin-top: 0px;
+}
+
+th > :last-child,
+td > :last-child {
+    margin-bottom: 0px;
+}
+
+/* -- figures --------------------------------------------------------------- */
+
+div.figure, figure {
+    margin: 0.5em;
+    padding: 0.5em;
+}
+
+div.figure p.caption, figcaption {
+    padding: 0.3em;
+}
+
+div.figure p.caption span.caption-number,
+figcaption span.caption-number {
+    font-style: italic;
+}
+
+div.figure p.caption span.caption-text,
+figcaption span.caption-text {
+}
+
+/* -- field list styles ----------------------------------------------------- */
+
+table.field-list td, table.field-list th {
+    border: 0 !important;
+}
+
+.field-list ul {
+    margin: 0;
+    padding-left: 1em;
+}
+
+.field-list p {
+    margin: 0;
+}
+
+.field-name {
+    -moz-hyphens: manual;
+    -ms-hyphens: manual;
+    -webkit-hyphens: manual;
+    hyphens: manual;
+}
+
+/* -- hlist styles ---------------------------------------------------------- */
+
+table.hlist {
+    margin: 1em 0;
+}
+
+table.hlist td {
+    vertical-align: top;
+}
+
+/* -- object description styles --------------------------------------------- */
+
+.sig {
+	font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
+}
+
+.sig-name, code.descname {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+.sig-name {
+	font-size: 1.1em;
+}
+
+code.descname {
+    font-size: 1.2em;
+}
+
+.sig-prename, code.descclassname {
+    background-color: transparent;
+}
+
+.optional {
+    font-size: 1.3em;
+}
+
+.sig-paren {
+    font-size: larger;
+}
+
+.sig-param.n {
+	font-style: italic;
+}
+
+/* C++ specific styling */
+
+.sig-inline.c-texpr,
+.sig-inline.cpp-texpr {
+	font-family: unset;
+}
+
+.sig.c   .k, .sig.c   .kt,
+.sig.cpp .k, .sig.cpp .kt {
+	color: #0033B3;
+}
+
+.sig.c   .m,
+.sig.cpp .m {
+	color: #1750EB;
+}
+
+.sig.c   .s, .sig.c   .sc,
+.sig.cpp .s, .sig.cpp .sc {
+	color: #067D17;
+}
+
+
+/* -- other body styles ----------------------------------------------------- */
+
+ol.arabic {
+    list-style: decimal;
+}
+
+ol.loweralpha {
+    list-style: lower-alpha;
+}
+
+ol.upperalpha {
+    list-style: upper-alpha;
+}
+
+ol.lowerroman {
+    list-style: lower-roman;
+}
+
+ol.upperroman {
+    list-style: upper-roman;
+}
+
+:not(li) > ol > li:first-child > :first-child,
+:not(li) > ul > li:first-child > :first-child {
+    margin-top: 0px;
+}
+
+:not(li) > ol > li:last-child > :last-child,
+:not(li) > ul > li:last-child > :last-child {
+    margin-bottom: 0px;
+}
+
+ol.simple ol p,
+ol.simple ul p,
+ul.simple ol p,
+ul.simple ul p {
+    margin-top: 0;
+}
+
+ol.simple > li:not(:first-child) > p,
+ul.simple > li:not(:first-child) > p {
+    margin-top: 0;
+}
+
+ol.simple p,
+ul.simple p {
+    margin-bottom: 0;
+}
+dl.footnote > dt,
+dl.citation > dt {
+    float: left;
+    margin-right: 0.5em;
+}
+
+dl.footnote > dd,
+dl.citation > dd {
+    margin-bottom: 0em;
+}
+
+dl.footnote > dd:after,
+dl.citation > dd:after {
+    content: "";
+    clear: both;
+}
+
+dl.field-list {
+    display: grid;
+    grid-template-columns: fit-content(30%) auto;
+}
+
+dl.field-list > dt {
+    font-weight: bold;
+    word-break: break-word;
+    padding-left: 0.5em;
+    padding-right: 5px;
+}
+dl.field-list > dt:after {
+    content: ":";
+}
+
+
+dl.field-list > dd {
+    padding-left: 0.5em;
+    margin-top: 0em;
+    margin-left: 0em;
+    margin-bottom: 0em;
+}
+
+dl {
+    margin-bottom: 15px;
+}
+
+dd > :first-child {
+    margin-top: 0px;
+}
+
+dd ul, dd table {
+    margin-bottom: 10px;
+}
+
+dd {
+    margin-top: 3px;
+    margin-bottom: 10px;
+    margin-left: 30px;
+}
+
+dl > dd:last-child,
+dl > dd:last-child > :last-child {
+    margin-bottom: 0;
+}
+
+dt:target, span.highlighted {
+    background-color: #fbe54e;
+}
+
+rect.highlighted {
+    fill: #fbe54e;
+}
+
+dl.glossary dt {
+    font-weight: bold;
+    font-size: 1.1em;
+}
+
+.versionmodified {
+    font-style: italic;
+}
+
+.system-message {
+    background-color: #fda;
+    padding: 5px;
+    border: 3px solid red;
+}
+
+.footnote:target  {
+    background-color: #ffa;
+}
+
+.line-block {
+    display: block;
+    margin-top: 1em;
+    margin-bottom: 1em;
+}
+
+.line-block .line-block {
+    margin-top: 0;
+    margin-bottom: 0;
+    margin-left: 1.5em;
+}
+
+.guilabel, .menuselection {
+    font-family: sans-serif;
+}
+
+.accelerator {
+    text-decoration: underline;
+}
+
+.classifier {
+    font-style: oblique;
+}
+
+.classifier:before {
+    font-style: normal;
+    margin: 0 0.5em;
+    content: ":";
+    display: inline-block;
+}
+
+abbr, acronym {
+    border-bottom: dotted 1px;
+    cursor: help;
+}
+
+/* -- code displays --------------------------------------------------------- */
+
+pre {
+    overflow: auto;
+    overflow-y: hidden;  /* fixes display issues on Chrome browsers */
+}
+
+pre, div[class*="highlight-"] {
+    clear: both;
+}
+
+span.pre {
+    -moz-hyphens: none;
+    -ms-hyphens: none;
+    -webkit-hyphens: none;
+    hyphens: none;
+    white-space: nowrap;
+}
+
+div[class*="highlight-"] {
+    margin: 1em 0;
+}
+
+td.linenos pre {
+    border: 0;
+    background-color: transparent;
+    color: #aaa;
+}
+
+table.highlighttable {
+    display: block;
+}
+
+table.highlighttable tbody {
+    display: block;
+}
+
+table.highlighttable tr {
+    display: flex;
+}
+
+table.highlighttable td {
+    margin: 0;
+    padding: 0;
+}
+
+table.highlighttable td.linenos {
+    padding-right: 0.5em;
+}
+
+table.highlighttable td.code {
+    flex: 1;
+    overflow: hidden;
+}
+
+.highlight .hll {
+    display: block;
+}
+
+div.highlight pre,
+table.highlighttable pre {
+    margin: 0;
+}
+
+div.code-block-caption + div {
+    margin-top: 0;
+}
+
+div.code-block-caption {
+    margin-top: 1em;
+    padding: 2px 5px;
+    font-size: small;
+}
+
+div.code-block-caption code {
+    background-color: transparent;
+}
+
+table.highlighttable td.linenos,
+span.linenos,
+div.highlight span.gp {  /* gp: Generic.Prompt */
+  user-select: none;
+  -webkit-user-select: text; /* Safari fallback only */
+  -webkit-user-select: none; /* Chrome/Safari */
+  -moz-user-select: none; /* Firefox */
+  -ms-user-select: none; /* IE10+ */
+}
+
+div.code-block-caption span.caption-number {
+    padding: 0.1em 0.3em;
+    font-style: italic;
+}
+
+div.code-block-caption span.caption-text {
+}
+
+div.literal-block-wrapper {
+    margin: 1em 0;
+}
+
+code.xref, a code {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
+    background-color: transparent;
+}
+
+.viewcode-link {
+    float: right;
+}
+
+.viewcode-back {
+    float: right;
+    font-family: sans-serif;
+}
+
+div.viewcode-block:target {
+    margin: -1px -10px;
+    padding: 0 10px;
+}
+
+/* -- math display ---------------------------------------------------------- */
+
+img.math {
+    vertical-align: middle;
+}
+
+div.body div.math p {
+    text-align: center;
+}
+
+span.eqno {
+    float: right;
+}
+
+span.eqno a.headerlink {
+    position: absolute;
+    z-index: 1;
+}
+
+div.math:hover a.headerlink {
+    visibility: visible;
+}
+
+/* -- printout stylesheet --------------------------------------------------- */
+
+@media print {
+    div.document,
+    div.documentwrapper,
+    div.bodywrapper {
+        margin: 0 !important;
+        width: 100%;
+    }
+
+    div.sphinxsidebar,
+    div.related,
+    div.footer,
+    #top-link {
+        display: none;
+    }
+}
\ No newline at end of file
diff --git a/_static/css/badge_only.css b/_static/css/badge_only.css
new file mode 100644
index 0000000..c718cee
--- /dev/null
+++ b/_static/css/badge_only.css
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\ No newline at end of file
diff --git a/_static/doctools.js b/_static/doctools.js
new file mode 100644
index 0000000..527b876
--- /dev/null
+++ b/_static/doctools.js
@@ -0,0 +1,156 @@
+/*
+ * doctools.js
+ * ~~~~~~~~~~~
+ *
+ * Base JavaScript utilities for all Sphinx HTML documentation.
+ *
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+"use strict";
+
+const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([
+  "TEXTAREA",
+  "INPUT",
+  "SELECT",
+  "BUTTON",
+]);
+
+const _ready = (callback) => {
+  if (document.readyState !== "loading") {
+    callback();
+  } else {
+    document.addEventListener("DOMContentLoaded", callback);
+  }
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const Documentation = {
+  init: () => {
+    Documentation.initDomainIndexTable();
+    Documentation.initOnKeyListeners();
+  },
+
+  /**
+   * i18n support
+   */
+  TRANSLATIONS: {},
+  PLURAL_EXPR: (n) => (n === 1 ? 0 : 1),
+  LOCALE: "unknown",
+
+  // gettext and ngettext don't access this so that the functions
+  // can safely bound to a different name (_ = Documentation.gettext)
+  gettext: (string) => {
+    const translated = Documentation.TRANSLATIONS[string];
+    switch (typeof translated) {
+      case "undefined":
+        return string; // no translation
+      case "string":
+        return translated; // translation exists
+      default:
+        return translated[0]; // (singular, plural) translation tuple exists
+    }
+  },
+
+  ngettext: (singular, plural, n) => {
+    const translated = Documentation.TRANSLATIONS[singular];
+    if (typeof translated !== "undefined")
+      return translated[Documentation.PLURAL_EXPR(n)];
+    return n === 1 ? singular : plural;
+  },
+
+  addTranslations: (catalog) => {
+    Object.assign(Documentation.TRANSLATIONS, catalog.messages);
+    Documentation.PLURAL_EXPR = new Function(
+      "n",
+      `return (${catalog.plural_expr})`
+    );
+    Documentation.LOCALE = catalog.locale;
+  },
+
+  /**
+   * helper function to focus on search bar
+   */
+  focusSearchBar: () => {
+    document.querySelectorAll("input[name=q]")[0]?.focus();
+  },
+
+  /**
+   * Initialise the domain index toggle buttons
+   */
+  initDomainIndexTable: () => {
+    const toggler = (el) => {
+      const idNumber = el.id.substr(7);
+      const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`);
+      if (el.src.substr(-9) === "minus.png") {
+        el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`;
+        toggledRows.forEach((el) => (el.style.display = "none"));
+      } else {
+        el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`;
+        toggledRows.forEach((el) => (el.style.display = ""));
+      }
+    };
+
+    const togglerElements = document.querySelectorAll("img.toggler");
+    togglerElements.forEach((el) =>
+      el.addEventListener("click", (event) => toggler(event.currentTarget))
+    );
+    togglerElements.forEach((el) => (el.style.display = ""));
+    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler);
+  },
+
+  initOnKeyListeners: () => {
+    // only install a listener if it is really needed
+    if (
+      !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
+      !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS
+    )
+      return;
+
+    document.addEventListener("keydown", (event) => {
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.altKey || event.ctrlKey || event.metaKey) return;
+
+      if (!event.shiftKey) {
+        switch (event.key) {
+          case "ArrowLeft":
+            if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+            const prevLink = document.querySelector('link[rel="prev"]');
+            if (prevLink && prevLink.href) {
+              window.location.href = prevLink.href;
+              event.preventDefault();
+            }
+            break;
+          case "ArrowRight":
+            if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+            const nextLink = document.querySelector('link[rel="next"]');
+            if (nextLink && nextLink.href) {
+              window.location.href = nextLink.href;
+              event.preventDefault();
+            }
+            break;
+        }
+      }
+
+      // some keyboard layouts may need Shift to get /
+      switch (event.key) {
+        case "/":
+          if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
+          Documentation.focusSearchBar();
+          event.preventDefault();
+      }
+    });
+  },
+};
+
+// quick alias for translations
+const _ = Documentation.gettext;
+
+_ready(Documentation.init);
diff --git a/_static/documentation_options.js b/_static/documentation_options.js
new file mode 100644
index 0000000..64f6c6b
--- /dev/null
+++ b/_static/documentation_options.js
@@ -0,0 +1,14 @@
+var DOCUMENTATION_OPTIONS = {
+    URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
+    VERSION: '2023',
+    LANGUAGE: 'en',
+    COLLAPSE_INDEX: false,
+    BUILDER: 'html',
+    FILE_SUFFIX: '.html',
+    LINK_SUFFIX: '.html',
+    HAS_SOURCE: true,
+    SOURCELINK_SUFFIX: '.txt',
+    NAVIGATION_WITH_KEYS: false,
+    SHOW_SEARCH_SUMMARY: true,
+    ENABLE_SEARCH_SHORTCUTS: true,
+};
\ No newline at end of file
diff --git a/_static/file.png b/_static/file.png
new file mode 100644
index 0000000..a858a41
Binary files /dev/null and b/_static/file.png differ
diff --git a/_static/jquery-3.6.0.js b/_static/jquery-3.6.0.js
new file mode 100644
index 0000000..fc6c299
--- /dev/null
+++ b/_static/jquery-3.6.0.js
@@ -0,0 +1,10881 @@
+/*!
+ * jQuery JavaScript Library v3.6.0
+ * https://jquery.com/
+ *
+ * Includes Sizzle.js
+ * https://sizzlejs.com/
+ *
+ * Copyright OpenJS Foundation and other contributors
+ * Released under the MIT license
+ * https://jquery.org/license
+ *
+ * Date: 2021-03-02T17:08Z
+ */
+( function( global, factory ) {
+
+	"use strict";
+
+	if ( typeof module === "object" && typeof module.exports === "object" ) {
+
+		// For CommonJS and CommonJS-like environments where a proper `window`
+		// is present, execute the factory and get jQuery.
+		// For environments that do not have a `window` with a `document`
+		// (such as Node.js), expose a factory as module.exports.
+		// This accentuates the need for the creation of a real `window`.
+		// e.g. var jQuery = require("jquery")(window);
+		// See ticket #14549 for more info.
+		module.exports = global.document ?
+			factory( global, true ) :
+			function( w ) {
+				if ( !w.document ) {
+					throw new Error( "jQuery requires a window with a document" );
+				}
+				return factory( w );
+			};
+	} else {
+		factory( global );
+	}
+
+// Pass this if window is not defined yet
+} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) {
+
+// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1
+// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode
+// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common
+// enough that all such attempts are guarded in a try block.
+"use strict";
+
+var arr = [];
+
+var getProto = Object.getPrototypeOf;
+
+var slice = arr.slice;
+
+var flat = arr.flat ? function( array ) {
+	return arr.flat.call( array );
+} : function( array ) {
+	return arr.concat.apply( [], array );
+};
+
+
+var push = arr.push;
+
+var indexOf = arr.indexOf;
+
+var class2type = {};
+
+var toString = class2type.toString;
+
+var hasOwn = class2type.hasOwnProperty;
+
+var fnToString = hasOwn.toString;
+
+var ObjectFunctionString = fnToString.call( Object );
+
+var support = {};
+
+var isFunction = function isFunction( obj ) {
+
+		// Support: Chrome <=57, Firefox <=52
+		// In some browsers, typeof returns "function" for HTML <object> elements
+		// (i.e., `typeof document.createElement( "object" ) === "function"`).
+		// We don't want to classify *any* DOM node as a function.
+		// Support: QtWeb <=3.8.5, WebKit <=534.34, wkhtmltopdf tool <=0.12.5
+		// Plus for old WebKit, typeof returns "function" for HTML collections
+		// (e.g., `typeof document.getElementsByTagName("div") === "function"`). (gh-4756)
+		return typeof obj === "function" && typeof obj.nodeType !== "number" &&
+			typeof obj.item !== "function";
+	};
+
+
+var isWindow = function isWindow( obj ) {
+		return obj != null && obj === obj.window;
+	};
+
+
+var document = window.document;
+
+
+
+	var preservedScriptAttributes = {
+		type: true,
+		src: true,
+		nonce: true,
+		noModule: true
+	};
+
+	function DOMEval( code, node, doc ) {
+		doc = doc || document;
+
+		var i, val,
+			script = doc.createElement( "script" );
+
+		script.text = code;
+		if ( node ) {
+			for ( i in preservedScriptAttributes ) {
+
+				// Support: Firefox 64+, Edge 18+
+				// Some browsers don't support the "nonce" property on scripts.
+				// On the other hand, just using `getAttribute` is not enough as
+				// the `nonce` attribute is reset to an empty string whenever it
+				// becomes browsing-context connected.
+				// See https://github.com/whatwg/html/issues/2369
+				// See https://html.spec.whatwg.org/#nonce-attributes
+				// The `node.getAttribute` check was added for the sake of
+				// `jQuery.globalEval` so that it can fake a nonce-containing node
+				// via an object.
+				val = node[ i ] || node.getAttribute && node.getAttribute( i );
+				if ( val ) {
+					script.setAttribute( i, val );
+				}
+			}
+		}
+		doc.head.appendChild( script ).parentNode.removeChild( script );
+	}
+
+
+function toType( obj ) {
+	if ( obj == null ) {
+		return obj + "";
+	}
+
+	// Support: Android <=2.3 only (functionish RegExp)
+	return typeof obj === "object" || typeof obj === "function" ?
+		class2type[ toString.call( obj ) ] || "object" :
+		typeof obj;
+}
+/* global Symbol */
+// Defining this global in .eslintrc.json would create a danger of using the global
+// unguarded in another place, it seems safer to define global only for this module
+
+
+
+var
+	version = "3.6.0",
+
+	// Define a local copy of jQuery
+	jQuery = function( selector, context ) {
+
+		// The jQuery object is actually just the init constructor 'enhanced'
+		// Need init if jQuery is called (just allow error to be thrown if not included)
+		return new jQuery.fn.init( selector, context );
+	};
+
+jQuery.fn = jQuery.prototype = {
+
+	// The current version of jQuery being used
+	jquery: version,
+
+	constructor: jQuery,
+
+	// The default length of a jQuery object is 0
+	length: 0,
+
+	toArray: function() {
+		return slice.call( this );
+	},
+
+	// Get the Nth element in the matched element set OR
+	// Get the whole matched element set as a clean array
+	get: function( num ) {
+
+		// Return all the elements in a clean array
+		if ( num == null ) {
+			return slice.call( this );
+		}
+
+		// Return just the one element from the set
+		return num < 0 ? this[ num + this.length ] : this[ num ];
+	},
+
+	// Take an array of elements and push it onto the stack
+	// (returning the new matched element set)
+	pushStack: function( elems ) {
+
+		// Build a new jQuery matched element set
+		var ret = jQuery.merge( this.constructor(), elems );
+
+		// Add the old object onto the stack (as a reference)
+		ret.prevObject = this;
+
+		// Return the newly-formed element set
+		return ret;
+	},
+
+	// Execute a callback for every element in the matched set.
+	each: function( callback ) {
+		return jQuery.each( this, callback );
+	},
+
+	map: function( callback ) {
+		return this.pushStack( jQuery.map( this, function( elem, i ) {
+			return callback.call( elem, i, elem );
+		} ) );
+	},
+
+	slice: function() {
+		return this.pushStack( slice.apply( this, arguments ) );
+	},
+
+	first: function() {
+		return this.eq( 0 );
+	},
+
+	last: function() {
+		return this.eq( -1 );
+	},
+
+	even: function() {
+		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
+			return ( i + 1 ) % 2;
+		} ) );
+	},
+
+	odd: function() {
+		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
+			return i % 2;
+		} ) );
+	},
+
+	eq: function( i ) {
+		var len = this.length,
+			j = +i + ( i < 0 ? len : 0 );
+		return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] );
+	},
+
+	end: function() {
+		return this.prevObject || this.constructor();
+	},
+
+	// For internal use only.
+	// Behaves like an Array's method, not like a jQuery method.
+	push: push,
+	sort: arr.sort,
+	splice: arr.splice
+};
+
+jQuery.extend = jQuery.fn.extend = function() {
+	var options, name, src, copy, copyIsArray, clone,
+		target = arguments[ 0 ] || {},
+		i = 1,
+		length = arguments.length,
+		deep = false;
+
+	// Handle a deep copy situation
+	if ( typeof target === "boolean" ) {
+		deep = target;
+
+		// Skip the boolean and the target
+		target = arguments[ i ] || {};
+		i++;
+	}
+
+	// Handle case when target is a string or something (possible in deep copy)
+	if ( typeof target !== "object" && !isFunction( target ) ) {
+		target = {};
+	}
+
+	// Extend jQuery itself if only one argument is passed
+	if ( i === length ) {
+		target = this;
+		i--;
+	}
+
+	for ( ; i < length; i++ ) {
+
+		// Only deal with non-null/undefined values
+		if ( ( options = arguments[ i ] ) != null ) {
+
+			// Extend the base object
+			for ( name in options ) {
+				copy = options[ name ];
+
+				// Prevent Object.prototype pollution
+				// Prevent never-ending loop
+				if ( name === "__proto__" || target === copy ) {
+					continue;
+				}
+
+				// Recurse if we're merging plain objects or arrays
+				if ( deep && copy && ( jQuery.isPlainObject( copy ) ||
+					( copyIsArray = Array.isArray( copy ) ) ) ) {
+					src = target[ name ];
+
+					// Ensure proper type for the source value
+					if ( copyIsArray && !Array.isArray( src ) ) {
+						clone = [];
+					} else if ( !copyIsArray && !jQuery.isPlainObject( src ) ) {
+						clone = {};
+					} else {
+						clone = src;
+					}
+					copyIsArray = false;
+
+					// Never move original objects, clone them
+					target[ name ] = jQuery.extend( deep, clone, copy );
+
+				// Don't bring in undefined values
+				} else if ( copy !== undefined ) {
+					target[ name ] = copy;
+				}
+			}
+		}
+	}
+
+	// Return the modified object
+	return target;
+};
+
+jQuery.extend( {
+
+	// Unique for each copy of jQuery on the page
+	expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ),
+
+	// Assume jQuery is ready without the ready module
+	isReady: true,
+
+	error: function( msg ) {
+		throw new Error( msg );
+	},
+
+	noop: function() {},
+
+	isPlainObject: function( obj ) {
+		var proto, Ctor;
+
+		// Detect obvious negatives
+		// Use toString instead of jQuery.type to catch host objects
+		if ( !obj || toString.call( obj ) !== "[object Object]" ) {
+			return false;
+		}
+
+		proto = getProto( obj );
+
+		// Objects with no prototype (e.g., `Object.create( null )`) are plain
+		if ( !proto ) {
+			return true;
+		}
+
+		// Objects with prototype are plain iff they were constructed by a global Object function
+		Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor;
+		return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString;
+	},
+
+	isEmptyObject: function( obj ) {
+		var name;
+
+		for ( name in obj ) {
+			return false;
+		}
+		return true;
+	},
+
+	// Evaluates a script in a provided context; falls back to the global one
+	// if not specified.
+	globalEval: function( code, options, doc ) {
+		DOMEval( code, { nonce: options && options.nonce }, doc );
+	},
+
+	each: function( obj, callback ) {
+		var length, i = 0;
+
+		if ( isArrayLike( obj ) ) {
+			length = obj.length;
+			for ( ; i < length; i++ ) {
+				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+					break;
+				}
+			}
+		} else {
+			for ( i in obj ) {
+				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+					break;
+				}
+			}
+		}
+
+		return obj;
+	},
+
+	// results is for internal usage only
+	makeArray: function( arr, results ) {
+		var ret = results || [];
+
+		if ( arr != null ) {
+			if ( isArrayLike( Object( arr ) ) ) {
+				jQuery.merge( ret,
+					typeof arr === "string" ?
+						[ arr ] : arr
+				);
+			} else {
+				push.call( ret, arr );
+			}
+		}
+
+		return ret;
+	},
+
+	inArray: function( elem, arr, i ) {
+		return arr == null ? -1 : indexOf.call( arr, elem, i );
+	},
+
+	// Support: Android <=4.0 only, PhantomJS 1 only
+	// push.apply(_, arraylike) throws on ancient WebKit
+	merge: function( first, second ) {
+		var len = +second.length,
+			j = 0,
+			i = first.length;
+
+		for ( ; j < len; j++ ) {
+			first[ i++ ] = second[ j ];
+		}
+
+		first.length = i;
+
+		return first;
+	},
+
+	grep: function( elems, callback, invert ) {
+		var callbackInverse,
+			matches = [],
+			i = 0,
+			length = elems.length,
+			callbackExpect = !invert;
+
+		// Go through the array, only saving the items
+		// that pass the validator function
+		for ( ; i < length; i++ ) {
+			callbackInverse = !callback( elems[ i ], i );
+			if ( callbackInverse !== callbackExpect ) {
+				matches.push( elems[ i ] );
+			}
+		}
+
+		return matches;
+	},
+
+	// arg is for internal usage only
+	map: function( elems, callback, arg ) {
+		var length, value,
+			i = 0,
+			ret = [];
+
+		// Go through the array, translating each of the items to their new values
+		if ( isArrayLike( elems ) ) {
+			length = elems.length;
+			for ( ; i < length; i++ ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+
+		// Go through every key on the object,
+		} else {
+			for ( i in elems ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+		}
+
+		// Flatten any nested arrays
+		return flat( ret );
+	},
+
+	// A global GUID counter for objects
+	guid: 1,
+
+	// jQuery.support is not used in Core but other projects attach their
+	// properties to it so it needs to exist.
+	support: support
+} );
+
+if ( typeof Symbol === "function" ) {
+	jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ];
+}
+
+// Populate the class2type map
+jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ),
+	function( _i, name ) {
+		class2type[ "[object " + name + "]" ] = name.toLowerCase();
+	} );
+
+function isArrayLike( obj ) {
+
+	// Support: real iOS 8.2 only (not reproducible in simulator)
+	// `in` check used to prevent JIT error (gh-2145)
+	// hasOwn isn't used here due to false negatives
+	// regarding Nodelist length in IE
+	var length = !!obj && "length" in obj && obj.length,
+		type = toType( obj );
+
+	if ( isFunction( obj ) || isWindow( obj ) ) {
+		return false;
+	}
+
+	return type === "array" || length === 0 ||
+		typeof length === "number" && length > 0 && ( length - 1 ) in obj;
+}
+var Sizzle =
+/*!
+ * Sizzle CSS Selector Engine v2.3.6
+ * https://sizzlejs.com/
+ *
+ * Copyright JS Foundation and other contributors
+ * Released under the MIT license
+ * https://js.foundation/
+ *
+ * Date: 2021-02-16
+ */
+( function( window ) {
+var i,
+	support,
+	Expr,
+	getText,
+	isXML,
+	tokenize,
+	compile,
+	select,
+	outermostContext,
+	sortInput,
+	hasDuplicate,
+
+	// Local document vars
+	setDocument,
+	document,
+	docElem,
+	documentIsHTML,
+	rbuggyQSA,
+	rbuggyMatches,
+	matches,
+	contains,
+
+	// Instance-specific data
+	expando = "sizzle" + 1 * new Date(),
+	preferredDoc = window.document,
+	dirruns = 0,
+	done = 0,
+	classCache = createCache(),
+	tokenCache = createCache(),
+	compilerCache = createCache(),
+	nonnativeSelectorCache = createCache(),
+	sortOrder = function( a, b ) {
+		if ( a === b ) {
+			hasDuplicate = true;
+		}
+		return 0;
+	},
+
+	// Instance methods
+	hasOwn = ( {} ).hasOwnProperty,
+	arr = [],
+	pop = arr.pop,
+	pushNative = arr.push,
+	push = arr.push,
+	slice = arr.slice,
+
+	// Use a stripped-down indexOf as it's faster than native
+	// https://jsperf.com/thor-indexof-vs-for/5
+	indexOf = function( list, elem ) {
+		var i = 0,
+			len = list.length;
+		for ( ; i < len; i++ ) {
+			if ( list[ i ] === elem ) {
+				return i;
+			}
+		}
+		return -1;
+	},
+
+	booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" +
+		"ismap|loop|multiple|open|readonly|required|scoped",
+
+	// Regular expressions
+
+	// http://www.w3.org/TR/css3-selectors/#whitespace
+	whitespace = "[\\x20\\t\\r\\n\\f]",
+
+	// https://www.w3.org/TR/css-syntax-3/#ident-token-diagram
+	identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace +
+		"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",
+
+	// Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors
+	attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace +
+
+		// Operator (capture 2)
+		"*([*^$|!~]?=)" + whitespace +
+
+		// "Attribute values must be CSS identifiers [capture 5]
+		// or strings [capture 3 or capture 4]"
+		"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" +
+		whitespace + "*\\]",
+
+	pseudos = ":(" + identifier + ")(?:\\((" +
+
+		// To reduce the number of selectors needing tokenize in the preFilter, prefer arguments:
+		// 1. quoted (capture 3; capture 4 or capture 5)
+		"('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" +
+
+		// 2. simple (capture 6)
+		"((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" +
+
+		// 3. anything else (capture 2)
+		".*" +
+		")\\)|)",
+
+	// Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter
+	rwhitespace = new RegExp( whitespace + "+", "g" ),
+	rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" +
+		whitespace + "+$", "g" ),
+
+	rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ),
+	rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace +
+		"*" ),
+	rdescend = new RegExp( whitespace + "|>" ),
+
+	rpseudo = new RegExp( pseudos ),
+	ridentifier = new RegExp( "^" + identifier + "$" ),
+
+	matchExpr = {
+		"ID": new RegExp( "^#(" + identifier + ")" ),
+		"CLASS": new RegExp( "^\\.(" + identifier + ")" ),
+		"TAG": new RegExp( "^(" + identifier + "|[*])" ),
+		"ATTR": new RegExp( "^" + attributes ),
+		"PSEUDO": new RegExp( "^" + pseudos ),
+		"CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" +
+			whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" +
+			whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ),
+		"bool": new RegExp( "^(?:" + booleans + ")$", "i" ),
+
+		// For use in libraries implementing .is()
+		// We use this for POS matching in `select`
+		"needsContext": new RegExp( "^" + whitespace +
+			"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace +
+			"*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" )
+	},
+
+	rhtml = /HTML$/i,
+	rinputs = /^(?:input|select|textarea|button)$/i,
+	rheader = /^h\d$/i,
+
+	rnative = /^[^{]+\{\s*\[native \w/,
+
+	// Easily-parseable/retrievable ID or TAG or CLASS selectors
+	rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,
+
+	rsibling = /[+~]/,
+
+	// CSS escapes
+	// http://www.w3.org/TR/CSS21/syndata.html#escaped-characters
+	runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ),
+	funescape = function( escape, nonHex ) {
+		var high = "0x" + escape.slice( 1 ) - 0x10000;
+
+		return nonHex ?
+
+			// Strip the backslash prefix from a non-hex escape sequence
+			nonHex :
+
+			// Replace a hexadecimal escape sequence with the encoded Unicode code point
+			// Support: IE <=11+
+			// For values outside the Basic Multilingual Plane (BMP), manually construct a
+			// surrogate pair
+			high < 0 ?
+				String.fromCharCode( high + 0x10000 ) :
+				String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 );
+	},
+
+	// CSS string/identifier serialization
+	// https://drafts.csswg.org/cssom/#common-serializing-idioms
+	rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,
+	fcssescape = function( ch, asCodePoint ) {
+		if ( asCodePoint ) {
+
+			// U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER
+			if ( ch === "\0" ) {
+				return "\uFFFD";
+			}
+
+			// Control characters and (dependent upon position) numbers get escaped as code points
+			return ch.slice( 0, -1 ) + "\\" +
+				ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " ";
+		}
+
+		// Other potentially-special ASCII characters get backslash-escaped
+		return "\\" + ch;
+	},
+
+	// Used for iframes
+	// See setDocument()
+	// Removing the function wrapper causes a "Permission Denied"
+	// error in IE
+	unloadHandler = function() {
+		setDocument();
+	},
+
+	inDisabledFieldset = addCombinator(
+		function( elem ) {
+			return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset";
+		},
+		{ dir: "parentNode", next: "legend" }
+	);
+
+// Optimize for push.apply( _, NodeList )
+try {
+	push.apply(
+		( arr = slice.call( preferredDoc.childNodes ) ),
+		preferredDoc.childNodes
+	);
+
+	// Support: Android<4.0
+	// Detect silently failing push.apply
+	// eslint-disable-next-line no-unused-expressions
+	arr[ preferredDoc.childNodes.length ].nodeType;
+} catch ( e ) {
+	push = { apply: arr.length ?
+
+		// Leverage slice if possible
+		function( target, els ) {
+			pushNative.apply( target, slice.call( els ) );
+		} :
+
+		// Support: IE<9
+		// Otherwise append directly
+		function( target, els ) {
+			var j = target.length,
+				i = 0;
+
+			// Can't trust NodeList.length
+			while ( ( target[ j++ ] = els[ i++ ] ) ) {}
+			target.length = j - 1;
+		}
+	};
+}
+
+function Sizzle( selector, context, results, seed ) {
+	var m, i, elem, nid, match, groups, newSelector,
+		newContext = context && context.ownerDocument,
+
+		// nodeType defaults to 9, since context defaults to document
+		nodeType = context ? context.nodeType : 9;
+
+	results = results || [];
+
+	// Return early from calls with invalid selector or context
+	if ( typeof selector !== "string" || !selector ||
+		nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) {
+
+		return results;
+	}
+
+	// Try to shortcut find operations (as opposed to filters) in HTML documents
+	if ( !seed ) {
+		setDocument( context );
+		context = context || document;
+
+		if ( documentIsHTML ) {
+
+			// If the selector is sufficiently simple, try using a "get*By*" DOM method
+			// (excepting DocumentFragment context, where the methods don't exist)
+			if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) {
+
+				// ID selector
+				if ( ( m = match[ 1 ] ) ) {
+
+					// Document context
+					if ( nodeType === 9 ) {
+						if ( ( elem = context.getElementById( m ) ) ) {
+
+							// Support: IE, Opera, Webkit
+							// TODO: identify versions
+							// getElementById can match elements by name instead of ID
+							if ( elem.id === m ) {
+								results.push( elem );
+								return results;
+							}
+						} else {
+							return results;
+						}
+
+					// Element context
+					} else {
+
+						// Support: IE, Opera, Webkit
+						// TODO: identify versions
+						// getElementById can match elements by name instead of ID
+						if ( newContext && ( elem = newContext.getElementById( m ) ) &&
+							contains( context, elem ) &&
+							elem.id === m ) {
+
+							results.push( elem );
+							return results;
+						}
+					}
+
+				// Type selector
+				} else if ( match[ 2 ] ) {
+					push.apply( results, context.getElementsByTagName( selector ) );
+					return results;
+
+				// Class selector
+				} else if ( ( m = match[ 3 ] ) && support.getElementsByClassName &&
+					context.getElementsByClassName ) {
+
+					push.apply( results, context.getElementsByClassName( m ) );
+					return results;
+				}
+			}
+
+			// Take advantage of querySelectorAll
+			if ( support.qsa &&
+				!nonnativeSelectorCache[ selector + " " ] &&
+				( !rbuggyQSA || !rbuggyQSA.test( selector ) ) &&
+
+				// Support: IE 8 only
+				// Exclude object elements
+				( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) {
+
+				newSelector = selector;
+				newContext = context;
+
+				// qSA considers elements outside a scoping root when evaluating child or
+				// descendant combinators, which is not what we want.
+				// In such cases, we work around the behavior by prefixing every selector in the
+				// list with an ID selector referencing the scope context.
+				// The technique has to be used as well when a leading combinator is used
+				// as such selectors are not recognized by querySelectorAll.
+				// Thanks to Andrew Dupont for this technique.
+				if ( nodeType === 1 &&
+					( rdescend.test( selector ) || rcombinators.test( selector ) ) ) {
+
+					// Expand context for sibling selectors
+					newContext = rsibling.test( selector ) && testContext( context.parentNode ) ||
+						context;
+
+					// We can use :scope instead of the ID hack if the browser
+					// supports it & if we're not changing the context.
+					if ( newContext !== context || !support.scope ) {
+
+						// Capture the context ID, setting it first if necessary
+						if ( ( nid = context.getAttribute( "id" ) ) ) {
+							nid = nid.replace( rcssescape, fcssescape );
+						} else {
+							context.setAttribute( "id", ( nid = expando ) );
+						}
+					}
+
+					// Prefix every selector in the list
+					groups = tokenize( selector );
+					i = groups.length;
+					while ( i-- ) {
+						groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " +
+							toSelector( groups[ i ] );
+					}
+					newSelector = groups.join( "," );
+				}
+
+				try {
+					push.apply( results,
+						newContext.querySelectorAll( newSelector )
+					);
+					return results;
+				} catch ( qsaError ) {
+					nonnativeSelectorCache( selector, true );
+				} finally {
+					if ( nid === expando ) {
+						context.removeAttribute( "id" );
+					}
+				}
+			}
+		}
+	}
+
+	// All others
+	return select( selector.replace( rtrim, "$1" ), context, results, seed );
+}
+
+/**
+ * Create key-value caches of limited size
+ * @returns {function(string, object)} Returns the Object data after storing it on itself with
+ *	property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength)
+ *	deleting the oldest entry
+ */
+function createCache() {
+	var keys = [];
+
+	function cache( key, value ) {
+
+		// Use (key + " ") to avoid collision with native prototype properties (see Issue #157)
+		if ( keys.push( key + " " ) > Expr.cacheLength ) {
+
+			// Only keep the most recent entries
+			delete cache[ keys.shift() ];
+		}
+		return ( cache[ key + " " ] = value );
+	}
+	return cache;
+}
+
+/**
+ * Mark a function for special use by Sizzle
+ * @param {Function} fn The function to mark
+ */
+function markFunction( fn ) {
+	fn[ expando ] = true;
+	return fn;
+}
+
+/**
+ * Support testing using an element
+ * @param {Function} fn Passed the created element and returns a boolean result
+ */
+function assert( fn ) {
+	var el = document.createElement( "fieldset" );
+
+	try {
+		return !!fn( el );
+	} catch ( e ) {
+		return false;
+	} finally {
+
+		// Remove from its parent by default
+		if ( el.parentNode ) {
+			el.parentNode.removeChild( el );
+		}
+
+		// release memory in IE
+		el = null;
+	}
+}
+
+/**
+ * Adds the same handler for all of the specified attrs
+ * @param {String} attrs Pipe-separated list of attributes
+ * @param {Function} handler The method that will be applied
+ */
+function addHandle( attrs, handler ) {
+	var arr = attrs.split( "|" ),
+		i = arr.length;
+
+	while ( i-- ) {
+		Expr.attrHandle[ arr[ i ] ] = handler;
+	}
+}
+
+/**
+ * Checks document order of two siblings
+ * @param {Element} a
+ * @param {Element} b
+ * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b
+ */
+function siblingCheck( a, b ) {
+	var cur = b && a,
+		diff = cur && a.nodeType === 1 && b.nodeType === 1 &&
+			a.sourceIndex - b.sourceIndex;
+
+	// Use IE sourceIndex if available on both nodes
+	if ( diff ) {
+		return diff;
+	}
+
+	// Check if b follows a
+	if ( cur ) {
+		while ( ( cur = cur.nextSibling ) ) {
+			if ( cur === b ) {
+				return -1;
+			}
+		}
+	}
+
+	return a ? 1 : -1;
+}
+
+/**
+ * Returns a function to use in pseudos for input types
+ * @param {String} type
+ */
+function createInputPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return name === "input" && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for buttons
+ * @param {String} type
+ */
+function createButtonPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return ( name === "input" || name === "button" ) && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for :enabled/:disabled
+ * @param {Boolean} disabled true for :disabled; false for :enabled
+ */
+function createDisabledPseudo( disabled ) {
+
+	// Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable
+	return function( elem ) {
+
+		// Only certain elements can match :enabled or :disabled
+		// https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled
+		// https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled
+		if ( "form" in elem ) {
+
+			// Check for inherited disabledness on relevant non-disabled elements:
+			// * listed form-associated elements in a disabled fieldset
+			//   https://html.spec.whatwg.org/multipage/forms.html#category-listed
+			//   https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled
+			// * option elements in a disabled optgroup
+			//   https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled
+			// All such elements have a "form" property.
+			if ( elem.parentNode && elem.disabled === false ) {
+
+				// Option elements defer to a parent optgroup if present
+				if ( "label" in elem ) {
+					if ( "label" in elem.parentNode ) {
+						return elem.parentNode.disabled === disabled;
+					} else {
+						return elem.disabled === disabled;
+					}
+				}
+
+				// Support: IE 6 - 11
+				// Use the isDisabled shortcut property to check for disabled fieldset ancestors
+				return elem.isDisabled === disabled ||
+
+					// Where there is no isDisabled, check manually
+					/* jshint -W018 */
+					elem.isDisabled !== !disabled &&
+					inDisabledFieldset( elem ) === disabled;
+			}
+
+			return elem.disabled === disabled;
+
+		// Try to winnow out elements that can't be disabled before trusting the disabled property.
+		// Some victims get caught in our net (label, legend, menu, track), but it shouldn't
+		// even exist on them, let alone have a boolean value.
+		} else if ( "label" in elem ) {
+			return elem.disabled === disabled;
+		}
+
+		// Remaining elements are neither :enabled nor :disabled
+		return false;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for positionals
+ * @param {Function} fn
+ */
+function createPositionalPseudo( fn ) {
+	return markFunction( function( argument ) {
+		argument = +argument;
+		return markFunction( function( seed, matches ) {
+			var j,
+				matchIndexes = fn( [], seed.length, argument ),
+				i = matchIndexes.length;
+
+			// Match elements found at the specified indexes
+			while ( i-- ) {
+				if ( seed[ ( j = matchIndexes[ i ] ) ] ) {
+					seed[ j ] = !( matches[ j ] = seed[ j ] );
+				}
+			}
+		} );
+	} );
+}
+
+/**
+ * Checks a node for validity as a Sizzle context
+ * @param {Element|Object=} context
+ * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value
+ */
+function testContext( context ) {
+	return context && typeof context.getElementsByTagName !== "undefined" && context;
+}
+
+// Expose support vars for convenience
+support = Sizzle.support = {};
+
+/**
+ * Detects XML nodes
+ * @param {Element|Object} elem An element or a document
+ * @returns {Boolean} True iff elem is a non-HTML XML node
+ */
+isXML = Sizzle.isXML = function( elem ) {
+	var namespace = elem && elem.namespaceURI,
+		docElem = elem && ( elem.ownerDocument || elem ).documentElement;
+
+	// Support: IE <=8
+	// Assume HTML when documentElement doesn't yet exist, such as inside loading iframes
+	// https://bugs.jquery.com/ticket/4833
+	return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" );
+};
+
+/**
+ * Sets document-related variables once based on the current document
+ * @param {Element|Object} [doc] An element or document object to use to set the document
+ * @returns {Object} Returns the current document
+ */
+setDocument = Sizzle.setDocument = function( node ) {
+	var hasCompare, subWindow,
+		doc = node ? node.ownerDocument || node : preferredDoc;
+
+	// Return early if doc is invalid or already selected
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) {
+		return document;
+	}
+
+	// Update global variables
+	document = doc;
+	docElem = document.documentElement;
+	documentIsHTML = !isXML( document );
+
+	// Support: IE 9 - 11+, Edge 12 - 18+
+	// Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936)
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( preferredDoc != document &&
+		( subWindow = document.defaultView ) && subWindow.top !== subWindow ) {
+
+		// Support: IE 11, Edge
+		if ( subWindow.addEventListener ) {
+			subWindow.addEventListener( "unload", unloadHandler, false );
+
+		// Support: IE 9 - 10 only
+		} else if ( subWindow.attachEvent ) {
+			subWindow.attachEvent( "onunload", unloadHandler );
+		}
+	}
+
+	// Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only,
+	// Safari 4 - 5 only, Opera <=11.6 - 12.x only
+	// IE/Edge & older browsers don't support the :scope pseudo-class.
+	// Support: Safari 6.0 only
+	// Safari 6.0 supports :scope but it's an alias of :root there.
+	support.scope = assert( function( el ) {
+		docElem.appendChild( el ).appendChild( document.createElement( "div" ) );
+		return typeof el.querySelectorAll !== "undefined" &&
+			!el.querySelectorAll( ":scope fieldset div" ).length;
+	} );
+
+	/* Attributes
+	---------------------------------------------------------------------- */
+
+	// Support: IE<8
+	// Verify that getAttribute really returns attributes and not properties
+	// (excepting IE8 booleans)
+	support.attributes = assert( function( el ) {
+		el.className = "i";
+		return !el.getAttribute( "className" );
+	} );
+
+	/* getElement(s)By*
+	---------------------------------------------------------------------- */
+
+	// Check if getElementsByTagName("*") returns only elements
+	support.getElementsByTagName = assert( function( el ) {
+		el.appendChild( document.createComment( "" ) );
+		return !el.getElementsByTagName( "*" ).length;
+	} );
+
+	// Support: IE<9
+	support.getElementsByClassName = rnative.test( document.getElementsByClassName );
+
+	// Support: IE<10
+	// Check if getElementById returns elements by name
+	// The broken getElementById methods don't pick up programmatically-set names,
+	// so use a roundabout getElementsByName test
+	support.getById = assert( function( el ) {
+		docElem.appendChild( el ).id = expando;
+		return !document.getElementsByName || !document.getElementsByName( expando ).length;
+	} );
+
+	// ID filter and find
+	if ( support.getById ) {
+		Expr.filter[ "ID" ] = function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				return elem.getAttribute( "id" ) === attrId;
+			};
+		};
+		Expr.find[ "ID" ] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var elem = context.getElementById( id );
+				return elem ? [ elem ] : [];
+			}
+		};
+	} else {
+		Expr.filter[ "ID" ] =  function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				var node = typeof elem.getAttributeNode !== "undefined" &&
+					elem.getAttributeNode( "id" );
+				return node && node.value === attrId;
+			};
+		};
+
+		// Support: IE 6 - 7 only
+		// getElementById is not reliable as a find shortcut
+		Expr.find[ "ID" ] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var node, i, elems,
+					elem = context.getElementById( id );
+
+				if ( elem ) {
+
+					// Verify the id attribute
+					node = elem.getAttributeNode( "id" );
+					if ( node && node.value === id ) {
+						return [ elem ];
+					}
+
+					// Fall back on getElementsByName
+					elems = context.getElementsByName( id );
+					i = 0;
+					while ( ( elem = elems[ i++ ] ) ) {
+						node = elem.getAttributeNode( "id" );
+						if ( node && node.value === id ) {
+							return [ elem ];
+						}
+					}
+				}
+
+				return [];
+			}
+		};
+	}
+
+	// Tag
+	Expr.find[ "TAG" ] = support.getElementsByTagName ?
+		function( tag, context ) {
+			if ( typeof context.getElementsByTagName !== "undefined" ) {
+				return context.getElementsByTagName( tag );
+
+			// DocumentFragment nodes don't have gEBTN
+			} else if ( support.qsa ) {
+				return context.querySelectorAll( tag );
+			}
+		} :
+
+		function( tag, context ) {
+			var elem,
+				tmp = [],
+				i = 0,
+
+				// By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too
+				results = context.getElementsByTagName( tag );
+
+			// Filter out possible comments
+			if ( tag === "*" ) {
+				while ( ( elem = results[ i++ ] ) ) {
+					if ( elem.nodeType === 1 ) {
+						tmp.push( elem );
+					}
+				}
+
+				return tmp;
+			}
+			return results;
+		};
+
+	// Class
+	Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) {
+		if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) {
+			return context.getElementsByClassName( className );
+		}
+	};
+
+	/* QSA/matchesSelector
+	---------------------------------------------------------------------- */
+
+	// QSA and matchesSelector support
+
+	// matchesSelector(:active) reports false when true (IE9/Opera 11.5)
+	rbuggyMatches = [];
+
+	// qSa(:focus) reports false when true (Chrome 21)
+	// We allow this because of a bug in IE8/9 that throws an error
+	// whenever `document.activeElement` is accessed on an iframe
+	// So, we allow :focus to pass through QSA all the time to avoid the IE error
+	// See https://bugs.jquery.com/ticket/13378
+	rbuggyQSA = [];
+
+	if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) {
+
+		// Build QSA regex
+		// Regex strategy adopted from Diego Perini
+		assert( function( el ) {
+
+			var input;
+
+			// Select is set to empty string on purpose
+			// This is to test IE's treatment of not explicitly
+			// setting a boolean content attribute,
+			// since its presence should be enough
+			// https://bugs.jquery.com/ticket/12359
+			docElem.appendChild( el ).innerHTML = "<a id='" + expando + "'></a>" +
+				"<select id='" + expando + "-\r\\' msallowcapture=''>" +
+				"<option selected=''></option></select>";
+
+			// Support: IE8, Opera 11-12.16
+			// Nothing should be selected when empty strings follow ^= or $= or *=
+			// The test attribute must be unknown in Opera but "safe" for WinRT
+			// https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section
+			if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) {
+				rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" );
+			}
+
+			// Support: IE8
+			// Boolean attributes and "value" are not treated correctly
+			if ( !el.querySelectorAll( "[selected]" ).length ) {
+				rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" );
+			}
+
+			// Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+
+			if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) {
+				rbuggyQSA.push( "~=" );
+			}
+
+			// Support: IE 11+, Edge 15 - 18+
+			// IE 11/Edge don't find elements on a `[name='']` query in some cases.
+			// Adding a temporary attribute to the document before the selection works
+			// around the issue.
+			// Interestingly, IE 10 & older don't seem to have the issue.
+			input = document.createElement( "input" );
+			input.setAttribute( "name", "" );
+			el.appendChild( input );
+			if ( !el.querySelectorAll( "[name='']" ).length ) {
+				rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" +
+					whitespace + "*(?:''|\"\")" );
+			}
+
+			// Webkit/Opera - :checked should return selected option elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			// IE8 throws error here and will not see later tests
+			if ( !el.querySelectorAll( ":checked" ).length ) {
+				rbuggyQSA.push( ":checked" );
+			}
+
+			// Support: Safari 8+, iOS 8+
+			// https://bugs.webkit.org/show_bug.cgi?id=136851
+			// In-page `selector#id sibling-combinator selector` fails
+			if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) {
+				rbuggyQSA.push( ".#.+[+~]" );
+			}
+
+			// Support: Firefox <=3.6 - 5 only
+			// Old Firefox doesn't throw on a badly-escaped identifier.
+			el.querySelectorAll( "\\\f" );
+			rbuggyQSA.push( "[\\r\\n\\f]" );
+		} );
+
+		assert( function( el ) {
+			el.innerHTML = "<a href='' disabled='disabled'></a>" +
+				"<select disabled='disabled'><option/></select>";
+
+			// Support: Windows 8 Native Apps
+			// The type and name attributes are restricted during .innerHTML assignment
+			var input = document.createElement( "input" );
+			input.setAttribute( "type", "hidden" );
+			el.appendChild( input ).setAttribute( "name", "D" );
+
+			// Support: IE8
+			// Enforce case-sensitivity of name attribute
+			if ( el.querySelectorAll( "[name=d]" ).length ) {
+				rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" );
+			}
+
+			// FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled)
+			// IE8 throws error here and will not see later tests
+			if ( el.querySelectorAll( ":enabled" ).length !== 2 ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Support: IE9-11+
+			// IE's :disabled selector does not pick up the children of disabled fieldsets
+			docElem.appendChild( el ).disabled = true;
+			if ( el.querySelectorAll( ":disabled" ).length !== 2 ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Support: Opera 10 - 11 only
+			// Opera 10-11 does not throw on post-comma invalid pseudos
+			el.querySelectorAll( "*,:x" );
+			rbuggyQSA.push( ",.*:" );
+		} );
+	}
+
+	if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches ||
+		docElem.webkitMatchesSelector ||
+		docElem.mozMatchesSelector ||
+		docElem.oMatchesSelector ||
+		docElem.msMatchesSelector ) ) ) ) {
+
+		assert( function( el ) {
+
+			// Check to see if it's possible to do matchesSelector
+			// on a disconnected node (IE 9)
+			support.disconnectedMatch = matches.call( el, "*" );
+
+			// This should fail with an exception
+			// Gecko does not error, returns false instead
+			matches.call( el, "[s!='']:x" );
+			rbuggyMatches.push( "!=", pseudos );
+		} );
+	}
+
+	rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) );
+	rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) );
+
+	/* Contains
+	---------------------------------------------------------------------- */
+	hasCompare = rnative.test( docElem.compareDocumentPosition );
+
+	// Element contains another
+	// Purposefully self-exclusive
+	// As in, an element does not contain itself
+	contains = hasCompare || rnative.test( docElem.contains ) ?
+		function( a, b ) {
+			var adown = a.nodeType === 9 ? a.documentElement : a,
+				bup = b && b.parentNode;
+			return a === bup || !!( bup && bup.nodeType === 1 && (
+				adown.contains ?
+					adown.contains( bup ) :
+					a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16
+			) );
+		} :
+		function( a, b ) {
+			if ( b ) {
+				while ( ( b = b.parentNode ) ) {
+					if ( b === a ) {
+						return true;
+					}
+				}
+			}
+			return false;
+		};
+
+	/* Sorting
+	---------------------------------------------------------------------- */
+
+	// Document order sorting
+	sortOrder = hasCompare ?
+	function( a, b ) {
+
+		// Flag for duplicate removal
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		// Sort on method existence if only one input has compareDocumentPosition
+		var compare = !a.compareDocumentPosition - !b.compareDocumentPosition;
+		if ( compare ) {
+			return compare;
+		}
+
+		// Calculate position if both inputs belong to the same document
+		// Support: IE 11+, Edge 17 - 18+
+		// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+		// two documents; shallow comparisons work.
+		// eslint-disable-next-line eqeqeq
+		compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ?
+			a.compareDocumentPosition( b ) :
+
+			// Otherwise we know they are disconnected
+			1;
+
+		// Disconnected nodes
+		if ( compare & 1 ||
+			( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) {
+
+			// Choose the first element that is related to our preferred document
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			// eslint-disable-next-line eqeqeq
+			if ( a == document || a.ownerDocument == preferredDoc &&
+				contains( preferredDoc, a ) ) {
+				return -1;
+			}
+
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			// eslint-disable-next-line eqeqeq
+			if ( b == document || b.ownerDocument == preferredDoc &&
+				contains( preferredDoc, b ) ) {
+				return 1;
+			}
+
+			// Maintain original order
+			return sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+		}
+
+		return compare & 4 ? -1 : 1;
+	} :
+	function( a, b ) {
+
+		// Exit early if the nodes are identical
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		var cur,
+			i = 0,
+			aup = a.parentNode,
+			bup = b.parentNode,
+			ap = [ a ],
+			bp = [ b ];
+
+		// Parentless nodes are either documents or disconnected
+		if ( !aup || !bup ) {
+
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			/* eslint-disable eqeqeq */
+			return a == document ? -1 :
+				b == document ? 1 :
+				/* eslint-enable eqeqeq */
+				aup ? -1 :
+				bup ? 1 :
+				sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+
+		// If the nodes are siblings, we can do a quick check
+		} else if ( aup === bup ) {
+			return siblingCheck( a, b );
+		}
+
+		// Otherwise we need full lists of their ancestors for comparison
+		cur = a;
+		while ( ( cur = cur.parentNode ) ) {
+			ap.unshift( cur );
+		}
+		cur = b;
+		while ( ( cur = cur.parentNode ) ) {
+			bp.unshift( cur );
+		}
+
+		// Walk down the tree looking for a discrepancy
+		while ( ap[ i ] === bp[ i ] ) {
+			i++;
+		}
+
+		return i ?
+
+			// Do a sibling check if the nodes have a common ancestor
+			siblingCheck( ap[ i ], bp[ i ] ) :
+
+			// Otherwise nodes in our document sort first
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			/* eslint-disable eqeqeq */
+			ap[ i ] == preferredDoc ? -1 :
+			bp[ i ] == preferredDoc ? 1 :
+			/* eslint-enable eqeqeq */
+			0;
+	};
+
+	return document;
+};
+
+Sizzle.matches = function( expr, elements ) {
+	return Sizzle( expr, null, null, elements );
+};
+
+Sizzle.matchesSelector = function( elem, expr ) {
+	setDocument( elem );
+
+	if ( support.matchesSelector && documentIsHTML &&
+		!nonnativeSelectorCache[ expr + " " ] &&
+		( !rbuggyMatches || !rbuggyMatches.test( expr ) ) &&
+		( !rbuggyQSA     || !rbuggyQSA.test( expr ) ) ) {
+
+		try {
+			var ret = matches.call( elem, expr );
+
+			// IE 9's matchesSelector returns false on disconnected nodes
+			if ( ret || support.disconnectedMatch ||
+
+				// As well, disconnected nodes are said to be in a document
+				// fragment in IE 9
+				elem.document && elem.document.nodeType !== 11 ) {
+				return ret;
+			}
+		} catch ( e ) {
+			nonnativeSelectorCache( expr, true );
+		}
+	}
+
+	return Sizzle( expr, document, null, [ elem ] ).length > 0;
+};
+
+Sizzle.contains = function( context, elem ) {
+
+	// Set document vars if needed
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( ( context.ownerDocument || context ) != document ) {
+		setDocument( context );
+	}
+	return contains( context, elem );
+};
+
+Sizzle.attr = function( elem, name ) {
+
+	// Set document vars if needed
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( ( elem.ownerDocument || elem ) != document ) {
+		setDocument( elem );
+	}
+
+	var fn = Expr.attrHandle[ name.toLowerCase() ],
+
+		// Don't get fooled by Object.prototype properties (jQuery #13807)
+		val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ?
+			fn( elem, name, !documentIsHTML ) :
+			undefined;
+
+	return val !== undefined ?
+		val :
+		support.attributes || !documentIsHTML ?
+			elem.getAttribute( name ) :
+			( val = elem.getAttributeNode( name ) ) && val.specified ?
+				val.value :
+				null;
+};
+
+Sizzle.escape = function( sel ) {
+	return ( sel + "" ).replace( rcssescape, fcssescape );
+};
+
+Sizzle.error = function( msg ) {
+	throw new Error( "Syntax error, unrecognized expression: " + msg );
+};
+
+/**
+ * Document sorting and removing duplicates
+ * @param {ArrayLike} results
+ */
+Sizzle.uniqueSort = function( results ) {
+	var elem,
+		duplicates = [],
+		j = 0,
+		i = 0;
+
+	// Unless we *know* we can detect duplicates, assume their presence
+	hasDuplicate = !support.detectDuplicates;
+	sortInput = !support.sortStable && results.slice( 0 );
+	results.sort( sortOrder );
+
+	if ( hasDuplicate ) {
+		while ( ( elem = results[ i++ ] ) ) {
+			if ( elem === results[ i ] ) {
+				j = duplicates.push( i );
+			}
+		}
+		while ( j-- ) {
+			results.splice( duplicates[ j ], 1 );
+		}
+	}
+
+	// Clear input after sorting to release objects
+	// See https://github.com/jquery/sizzle/pull/225
+	sortInput = null;
+
+	return results;
+};
+
+/**
+ * Utility function for retrieving the text value of an array of DOM nodes
+ * @param {Array|Element} elem
+ */
+getText = Sizzle.getText = function( elem ) {
+	var node,
+		ret = "",
+		i = 0,
+		nodeType = elem.nodeType;
+
+	if ( !nodeType ) {
+
+		// If no nodeType, this is expected to be an array
+		while ( ( node = elem[ i++ ] ) ) {
+
+			// Do not traverse comment nodes
+			ret += getText( node );
+		}
+	} else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) {
+
+		// Use textContent for elements
+		// innerText usage removed for consistency of new lines (jQuery #11153)
+		if ( typeof elem.textContent === "string" ) {
+			return elem.textContent;
+		} else {
+
+			// Traverse its children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				ret += getText( elem );
+			}
+		}
+	} else if ( nodeType === 3 || nodeType === 4 ) {
+		return elem.nodeValue;
+	}
+
+	// Do not include comment or processing instruction nodes
+
+	return ret;
+};
+
+Expr = Sizzle.selectors = {
+
+	// Can be adjusted by the user
+	cacheLength: 50,
+
+	createPseudo: markFunction,
+
+	match: matchExpr,
+
+	attrHandle: {},
+
+	find: {},
+
+	relative: {
+		">": { dir: "parentNode", first: true },
+		" ": { dir: "parentNode" },
+		"+": { dir: "previousSibling", first: true },
+		"~": { dir: "previousSibling" }
+	},
+
+	preFilter: {
+		"ATTR": function( match ) {
+			match[ 1 ] = match[ 1 ].replace( runescape, funescape );
+
+			// Move the given value to match[3] whether quoted or unquoted
+			match[ 3 ] = ( match[ 3 ] || match[ 4 ] ||
+				match[ 5 ] || "" ).replace( runescape, funescape );
+
+			if ( match[ 2 ] === "~=" ) {
+				match[ 3 ] = " " + match[ 3 ] + " ";
+			}
+
+			return match.slice( 0, 4 );
+		},
+
+		"CHILD": function( match ) {
+
+			/* matches from matchExpr["CHILD"]
+				1 type (only|nth|...)
+				2 what (child|of-type)
+				3 argument (even|odd|\d*|\d*n([+-]\d+)?|...)
+				4 xn-component of xn+y argument ([+-]?\d*n|)
+				5 sign of xn-component
+				6 x of xn-component
+				7 sign of y-component
+				8 y of y-component
+			*/
+			match[ 1 ] = match[ 1 ].toLowerCase();
+
+			if ( match[ 1 ].slice( 0, 3 ) === "nth" ) {
+
+				// nth-* requires argument
+				if ( !match[ 3 ] ) {
+					Sizzle.error( match[ 0 ] );
+				}
+
+				// numeric x and y parameters for Expr.filter.CHILD
+				// remember that false/true cast respectively to 0/1
+				match[ 4 ] = +( match[ 4 ] ?
+					match[ 5 ] + ( match[ 6 ] || 1 ) :
+					2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) );
+				match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" );
+
+				// other types prohibit arguments
+			} else if ( match[ 3 ] ) {
+				Sizzle.error( match[ 0 ] );
+			}
+
+			return match;
+		},
+
+		"PSEUDO": function( match ) {
+			var excess,
+				unquoted = !match[ 6 ] && match[ 2 ];
+
+			if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) {
+				return null;
+			}
+
+			// Accept quoted arguments as-is
+			if ( match[ 3 ] ) {
+				match[ 2 ] = match[ 4 ] || match[ 5 ] || "";
+
+			// Strip excess characters from unquoted arguments
+			} else if ( unquoted && rpseudo.test( unquoted ) &&
+
+				// Get excess from tokenize (recursively)
+				( excess = tokenize( unquoted, true ) ) &&
+
+				// advance to the next closing parenthesis
+				( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) {
+
+				// excess is a negative index
+				match[ 0 ] = match[ 0 ].slice( 0, excess );
+				match[ 2 ] = unquoted.slice( 0, excess );
+			}
+
+			// Return only captures needed by the pseudo filter method (type and argument)
+			return match.slice( 0, 3 );
+		}
+	},
+
+	filter: {
+
+		"TAG": function( nodeNameSelector ) {
+			var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase();
+			return nodeNameSelector === "*" ?
+				function() {
+					return true;
+				} :
+				function( elem ) {
+					return elem.nodeName && elem.nodeName.toLowerCase() === nodeName;
+				};
+		},
+
+		"CLASS": function( className ) {
+			var pattern = classCache[ className + " " ];
+
+			return pattern ||
+				( pattern = new RegExp( "(^|" + whitespace +
+					")" + className + "(" + whitespace + "|$)" ) ) && classCache(
+						className, function( elem ) {
+							return pattern.test(
+								typeof elem.className === "string" && elem.className ||
+								typeof elem.getAttribute !== "undefined" &&
+									elem.getAttribute( "class" ) ||
+								""
+							);
+				} );
+		},
+
+		"ATTR": function( name, operator, check ) {
+			return function( elem ) {
+				var result = Sizzle.attr( elem, name );
+
+				if ( result == null ) {
+					return operator === "!=";
+				}
+				if ( !operator ) {
+					return true;
+				}
+
+				result += "";
+
+				/* eslint-disable max-len */
+
+				return operator === "=" ? result === check :
+					operator === "!=" ? result !== check :
+					operator === "^=" ? check && result.indexOf( check ) === 0 :
+					operator === "*=" ? check && result.indexOf( check ) > -1 :
+					operator === "$=" ? check && result.slice( -check.length ) === check :
+					operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 :
+					operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" :
+					false;
+				/* eslint-enable max-len */
+
+			};
+		},
+
+		"CHILD": function( type, what, _argument, first, last ) {
+			var simple = type.slice( 0, 3 ) !== "nth",
+				forward = type.slice( -4 ) !== "last",
+				ofType = what === "of-type";
+
+			return first === 1 && last === 0 ?
+
+				// Shortcut for :nth-*(n)
+				function( elem ) {
+					return !!elem.parentNode;
+				} :
+
+				function( elem, _context, xml ) {
+					var cache, uniqueCache, outerCache, node, nodeIndex, start,
+						dir = simple !== forward ? "nextSibling" : "previousSibling",
+						parent = elem.parentNode,
+						name = ofType && elem.nodeName.toLowerCase(),
+						useCache = !xml && !ofType,
+						diff = false;
+
+					if ( parent ) {
+
+						// :(first|last|only)-(child|of-type)
+						if ( simple ) {
+							while ( dir ) {
+								node = elem;
+								while ( ( node = node[ dir ] ) ) {
+									if ( ofType ?
+										node.nodeName.toLowerCase() === name :
+										node.nodeType === 1 ) {
+
+										return false;
+									}
+								}
+
+								// Reverse direction for :only-* (if we haven't yet done so)
+								start = dir = type === "only" && !start && "nextSibling";
+							}
+							return true;
+						}
+
+						start = [ forward ? parent.firstChild : parent.lastChild ];
+
+						// non-xml :nth-child(...) stores cache data on `parent`
+						if ( forward && useCache ) {
+
+							// Seek `elem` from a previously-cached index
+
+							// ...in a gzip-friendly way
+							node = parent;
+							outerCache = node[ expando ] || ( node[ expando ] = {} );
+
+							// Support: IE <9 only
+							// Defend against cloned attroperties (jQuery gh-1709)
+							uniqueCache = outerCache[ node.uniqueID ] ||
+								( outerCache[ node.uniqueID ] = {} );
+
+							cache = uniqueCache[ type ] || [];
+							nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+							diff = nodeIndex && cache[ 2 ];
+							node = nodeIndex && parent.childNodes[ nodeIndex ];
+
+							while ( ( node = ++nodeIndex && node && node[ dir ] ||
+
+								// Fallback to seeking `elem` from the start
+								( diff = nodeIndex = 0 ) || start.pop() ) ) {
+
+								// When found, cache indexes on `parent` and break
+								if ( node.nodeType === 1 && ++diff && node === elem ) {
+									uniqueCache[ type ] = [ dirruns, nodeIndex, diff ];
+									break;
+								}
+							}
+
+						} else {
+
+							// Use previously-cached element index if available
+							if ( useCache ) {
+
+								// ...in a gzip-friendly way
+								node = elem;
+								outerCache = node[ expando ] || ( node[ expando ] = {} );
+
+								// Support: IE <9 only
+								// Defend against cloned attroperties (jQuery gh-1709)
+								uniqueCache = outerCache[ node.uniqueID ] ||
+									( outerCache[ node.uniqueID ] = {} );
+
+								cache = uniqueCache[ type ] || [];
+								nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+								diff = nodeIndex;
+							}
+
+							// xml :nth-child(...)
+							// or :nth-last-child(...) or :nth(-last)?-of-type(...)
+							if ( diff === false ) {
+
+								// Use the same loop as above to seek `elem` from the start
+								while ( ( node = ++nodeIndex && node && node[ dir ] ||
+									( diff = nodeIndex = 0 ) || start.pop() ) ) {
+
+									if ( ( ofType ?
+										node.nodeName.toLowerCase() === name :
+										node.nodeType === 1 ) &&
+										++diff ) {
+
+										// Cache the index of each encountered element
+										if ( useCache ) {
+											outerCache = node[ expando ] ||
+												( node[ expando ] = {} );
+
+											// Support: IE <9 only
+											// Defend against cloned attroperties (jQuery gh-1709)
+											uniqueCache = outerCache[ node.uniqueID ] ||
+												( outerCache[ node.uniqueID ] = {} );
+
+											uniqueCache[ type ] = [ dirruns, diff ];
+										}
+
+										if ( node === elem ) {
+											break;
+										}
+									}
+								}
+							}
+						}
+
+						// Incorporate the offset, then check against cycle size
+						diff -= last;
+						return diff === first || ( diff % first === 0 && diff / first >= 0 );
+					}
+				};
+		},
+
+		"PSEUDO": function( pseudo, argument ) {
+
+			// pseudo-class names are case-insensitive
+			// http://www.w3.org/TR/selectors/#pseudo-classes
+			// Prioritize by case sensitivity in case custom pseudos are added with uppercase letters
+			// Remember that setFilters inherits from pseudos
+			var args,
+				fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] ||
+					Sizzle.error( "unsupported pseudo: " + pseudo );
+
+			// The user may use createPseudo to indicate that
+			// arguments are needed to create the filter function
+			// just as Sizzle does
+			if ( fn[ expando ] ) {
+				return fn( argument );
+			}
+
+			// But maintain support for old signatures
+			if ( fn.length > 1 ) {
+				args = [ pseudo, pseudo, "", argument ];
+				return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ?
+					markFunction( function( seed, matches ) {
+						var idx,
+							matched = fn( seed, argument ),
+							i = matched.length;
+						while ( i-- ) {
+							idx = indexOf( seed, matched[ i ] );
+							seed[ idx ] = !( matches[ idx ] = matched[ i ] );
+						}
+					} ) :
+					function( elem ) {
+						return fn( elem, 0, args );
+					};
+			}
+
+			return fn;
+		}
+	},
+
+	pseudos: {
+
+		// Potentially complex pseudos
+		"not": markFunction( function( selector ) {
+
+			// Trim the selector passed to compile
+			// to avoid treating leading and trailing
+			// spaces as combinators
+			var input = [],
+				results = [],
+				matcher = compile( selector.replace( rtrim, "$1" ) );
+
+			return matcher[ expando ] ?
+				markFunction( function( seed, matches, _context, xml ) {
+					var elem,
+						unmatched = matcher( seed, null, xml, [] ),
+						i = seed.length;
+
+					// Match elements unmatched by `matcher`
+					while ( i-- ) {
+						if ( ( elem = unmatched[ i ] ) ) {
+							seed[ i ] = !( matches[ i ] = elem );
+						}
+					}
+				} ) :
+				function( elem, _context, xml ) {
+					input[ 0 ] = elem;
+					matcher( input, null, xml, results );
+
+					// Don't keep the element (issue #299)
+					input[ 0 ] = null;
+					return !results.pop();
+				};
+		} ),
+
+		"has": markFunction( function( selector ) {
+			return function( elem ) {
+				return Sizzle( selector, elem ).length > 0;
+			};
+		} ),
+
+		"contains": markFunction( function( text ) {
+			text = text.replace( runescape, funescape );
+			return function( elem ) {
+				return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1;
+			};
+		} ),
+
+		// "Whether an element is represented by a :lang() selector
+		// is based solely on the element's language value
+		// being equal to the identifier C,
+		// or beginning with the identifier C immediately followed by "-".
+		// The matching of C against the element's language value is performed case-insensitively.
+		// The identifier C does not have to be a valid language name."
+		// http://www.w3.org/TR/selectors/#lang-pseudo
+		"lang": markFunction( function( lang ) {
+
+			// lang value must be a valid identifier
+			if ( !ridentifier.test( lang || "" ) ) {
+				Sizzle.error( "unsupported lang: " + lang );
+			}
+			lang = lang.replace( runescape, funescape ).toLowerCase();
+			return function( elem ) {
+				var elemLang;
+				do {
+					if ( ( elemLang = documentIsHTML ?
+						elem.lang :
+						elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) {
+
+						elemLang = elemLang.toLowerCase();
+						return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0;
+					}
+				} while ( ( elem = elem.parentNode ) && elem.nodeType === 1 );
+				return false;
+			};
+		} ),
+
+		// Miscellaneous
+		"target": function( elem ) {
+			var hash = window.location && window.location.hash;
+			return hash && hash.slice( 1 ) === elem.id;
+		},
+
+		"root": function( elem ) {
+			return elem === docElem;
+		},
+
+		"focus": function( elem ) {
+			return elem === document.activeElement &&
+				( !document.hasFocus || document.hasFocus() ) &&
+				!!( elem.type || elem.href || ~elem.tabIndex );
+		},
+
+		// Boolean properties
+		"enabled": createDisabledPseudo( false ),
+		"disabled": createDisabledPseudo( true ),
+
+		"checked": function( elem ) {
+
+			// In CSS3, :checked should return both checked and selected elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			var nodeName = elem.nodeName.toLowerCase();
+			return ( nodeName === "input" && !!elem.checked ) ||
+				( nodeName === "option" && !!elem.selected );
+		},
+
+		"selected": function( elem ) {
+
+			// Accessing this property makes selected-by-default
+			// options in Safari work properly
+			if ( elem.parentNode ) {
+				// eslint-disable-next-line no-unused-expressions
+				elem.parentNode.selectedIndex;
+			}
+
+			return elem.selected === true;
+		},
+
+		// Contents
+		"empty": function( elem ) {
+
+			// http://www.w3.org/TR/selectors/#empty-pseudo
+			// :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5),
+			//   but not by others (comment: 8; processing instruction: 7; etc.)
+			// nodeType < 6 works because attributes (2) do not appear as children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				if ( elem.nodeType < 6 ) {
+					return false;
+				}
+			}
+			return true;
+		},
+
+		"parent": function( elem ) {
+			return !Expr.pseudos[ "empty" ]( elem );
+		},
+
+		// Element/input types
+		"header": function( elem ) {
+			return rheader.test( elem.nodeName );
+		},
+
+		"input": function( elem ) {
+			return rinputs.test( elem.nodeName );
+		},
+
+		"button": function( elem ) {
+			var name = elem.nodeName.toLowerCase();
+			return name === "input" && elem.type === "button" || name === "button";
+		},
+
+		"text": function( elem ) {
+			var attr;
+			return elem.nodeName.toLowerCase() === "input" &&
+				elem.type === "text" &&
+
+				// Support: IE<8
+				// New HTML5 attribute values (e.g., "search") appear with elem.type === "text"
+				( ( attr = elem.getAttribute( "type" ) ) == null ||
+					attr.toLowerCase() === "text" );
+		},
+
+		// Position-in-collection
+		"first": createPositionalPseudo( function() {
+			return [ 0 ];
+		} ),
+
+		"last": createPositionalPseudo( function( _matchIndexes, length ) {
+			return [ length - 1 ];
+		} ),
+
+		"eq": createPositionalPseudo( function( _matchIndexes, length, argument ) {
+			return [ argument < 0 ? argument + length : argument ];
+		} ),
+
+		"even": createPositionalPseudo( function( matchIndexes, length ) {
+			var i = 0;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"odd": createPositionalPseudo( function( matchIndexes, length ) {
+			var i = 1;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"lt": createPositionalPseudo( function( matchIndexes, length, argument ) {
+			var i = argument < 0 ?
+				argument + length :
+				argument > length ?
+					length :
+					argument;
+			for ( ; --i >= 0; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"gt": createPositionalPseudo( function( matchIndexes, length, argument ) {
+			var i = argument < 0 ? argument + length : argument;
+			for ( ; ++i < length; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} )
+	}
+};
+
+Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ];
+
+// Add button/input type pseudos
+for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) {
+	Expr.pseudos[ i ] = createInputPseudo( i );
+}
+for ( i in { submit: true, reset: true } ) {
+	Expr.pseudos[ i ] = createButtonPseudo( i );
+}
+
+// Easy API for creating new setFilters
+function setFilters() {}
+setFilters.prototype = Expr.filters = Expr.pseudos;
+Expr.setFilters = new setFilters();
+
+tokenize = Sizzle.tokenize = function( selector, parseOnly ) {
+	var matched, match, tokens, type,
+		soFar, groups, preFilters,
+		cached = tokenCache[ selector + " " ];
+
+	if ( cached ) {
+		return parseOnly ? 0 : cached.slice( 0 );
+	}
+
+	soFar = selector;
+	groups = [];
+	preFilters = Expr.preFilter;
+
+	while ( soFar ) {
+
+		// Comma and first run
+		if ( !matched || ( match = rcomma.exec( soFar ) ) ) {
+			if ( match ) {
+
+				// Don't consume trailing commas as valid
+				soFar = soFar.slice( match[ 0 ].length ) || soFar;
+			}
+			groups.push( ( tokens = [] ) );
+		}
+
+		matched = false;
+
+		// Combinators
+		if ( ( match = rcombinators.exec( soFar ) ) ) {
+			matched = match.shift();
+			tokens.push( {
+				value: matched,
+
+				// Cast descendant combinators to space
+				type: match[ 0 ].replace( rtrim, " " )
+			} );
+			soFar = soFar.slice( matched.length );
+		}
+
+		// Filters
+		for ( type in Expr.filter ) {
+			if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] ||
+				( match = preFilters[ type ]( match ) ) ) ) {
+				matched = match.shift();
+				tokens.push( {
+					value: matched,
+					type: type,
+					matches: match
+				} );
+				soFar = soFar.slice( matched.length );
+			}
+		}
+
+		if ( !matched ) {
+			break;
+		}
+	}
+
+	// Return the length of the invalid excess
+	// if we're just parsing
+	// Otherwise, throw an error or return tokens
+	return parseOnly ?
+		soFar.length :
+		soFar ?
+			Sizzle.error( selector ) :
+
+			// Cache the tokens
+			tokenCache( selector, groups ).slice( 0 );
+};
+
+function toSelector( tokens ) {
+	var i = 0,
+		len = tokens.length,
+		selector = "";
+	for ( ; i < len; i++ ) {
+		selector += tokens[ i ].value;
+	}
+	return selector;
+}
+
+function addCombinator( matcher, combinator, base ) {
+	var dir = combinator.dir,
+		skip = combinator.next,
+		key = skip || dir,
+		checkNonElements = base && key === "parentNode",
+		doneName = done++;
+
+	return combinator.first ?
+
+		// Check against closest ancestor/preceding element
+		function( elem, context, xml ) {
+			while ( ( elem = elem[ dir ] ) ) {
+				if ( elem.nodeType === 1 || checkNonElements ) {
+					return matcher( elem, context, xml );
+				}
+			}
+			return false;
+		} :
+
+		// Check against all ancestor/preceding elements
+		function( elem, context, xml ) {
+			var oldCache, uniqueCache, outerCache,
+				newCache = [ dirruns, doneName ];
+
+			// We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching
+			if ( xml ) {
+				while ( ( elem = elem[ dir ] ) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						if ( matcher( elem, context, xml ) ) {
+							return true;
+						}
+					}
+				}
+			} else {
+				while ( ( elem = elem[ dir ] ) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						outerCache = elem[ expando ] || ( elem[ expando ] = {} );
+
+						// Support: IE <9 only
+						// Defend against cloned attroperties (jQuery gh-1709)
+						uniqueCache = outerCache[ elem.uniqueID ] ||
+							( outerCache[ elem.uniqueID ] = {} );
+
+						if ( skip && skip === elem.nodeName.toLowerCase() ) {
+							elem = elem[ dir ] || elem;
+						} else if ( ( oldCache = uniqueCache[ key ] ) &&
+							oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) {
+
+							// Assign to newCache so results back-propagate to previous elements
+							return ( newCache[ 2 ] = oldCache[ 2 ] );
+						} else {
+
+							// Reuse newcache so results back-propagate to previous elements
+							uniqueCache[ key ] = newCache;
+
+							// A match means we're done; a fail means we have to keep checking
+							if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) {
+								return true;
+							}
+						}
+					}
+				}
+			}
+			return false;
+		};
+}
+
+function elementMatcher( matchers ) {
+	return matchers.length > 1 ?
+		function( elem, context, xml ) {
+			var i = matchers.length;
+			while ( i-- ) {
+				if ( !matchers[ i ]( elem, context, xml ) ) {
+					return false;
+				}
+			}
+			return true;
+		} :
+		matchers[ 0 ];
+}
+
+function multipleContexts( selector, contexts, results ) {
+	var i = 0,
+		len = contexts.length;
+	for ( ; i < len; i++ ) {
+		Sizzle( selector, contexts[ i ], results );
+	}
+	return results;
+}
+
+function condense( unmatched, map, filter, context, xml ) {
+	var elem,
+		newUnmatched = [],
+		i = 0,
+		len = unmatched.length,
+		mapped = map != null;
+
+	for ( ; i < len; i++ ) {
+		if ( ( elem = unmatched[ i ] ) ) {
+			if ( !filter || filter( elem, context, xml ) ) {
+				newUnmatched.push( elem );
+				if ( mapped ) {
+					map.push( i );
+				}
+			}
+		}
+	}
+
+	return newUnmatched;
+}
+
+function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) {
+	if ( postFilter && !postFilter[ expando ] ) {
+		postFilter = setMatcher( postFilter );
+	}
+	if ( postFinder && !postFinder[ expando ] ) {
+		postFinder = setMatcher( postFinder, postSelector );
+	}
+	return markFunction( function( seed, results, context, xml ) {
+		var temp, i, elem,
+			preMap = [],
+			postMap = [],
+			preexisting = results.length,
+
+			// Get initial elements from seed or context
+			elems = seed || multipleContexts(
+				selector || "*",
+				context.nodeType ? [ context ] : context,
+				[]
+			),
+
+			// Prefilter to get matcher input, preserving a map for seed-results synchronization
+			matcherIn = preFilter && ( seed || !selector ) ?
+				condense( elems, preMap, preFilter, context, xml ) :
+				elems,
+
+			matcherOut = matcher ?
+
+				// If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results,
+				postFinder || ( seed ? preFilter : preexisting || postFilter ) ?
+
+					// ...intermediate processing is necessary
+					[] :
+
+					// ...otherwise use results directly
+					results :
+				matcherIn;
+
+		// Find primary matches
+		if ( matcher ) {
+			matcher( matcherIn, matcherOut, context, xml );
+		}
+
+		// Apply postFilter
+		if ( postFilter ) {
+			temp = condense( matcherOut, postMap );
+			postFilter( temp, [], context, xml );
+
+			// Un-match failing elements by moving them back to matcherIn
+			i = temp.length;
+			while ( i-- ) {
+				if ( ( elem = temp[ i ] ) ) {
+					matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem );
+				}
+			}
+		}
+
+		if ( seed ) {
+			if ( postFinder || preFilter ) {
+				if ( postFinder ) {
+
+					// Get the final matcherOut by condensing this intermediate into postFinder contexts
+					temp = [];
+					i = matcherOut.length;
+					while ( i-- ) {
+						if ( ( elem = matcherOut[ i ] ) ) {
+
+							// Restore matcherIn since elem is not yet a final match
+							temp.push( ( matcherIn[ i ] = elem ) );
+						}
+					}
+					postFinder( null, ( matcherOut = [] ), temp, xml );
+				}
+
+				// Move matched elements from seed to results to keep them synchronized
+				i = matcherOut.length;
+				while ( i-- ) {
+					if ( ( elem = matcherOut[ i ] ) &&
+						( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) {
+
+						seed[ temp ] = !( results[ temp ] = elem );
+					}
+				}
+			}
+
+		// Add elements to results, through postFinder if defined
+		} else {
+			matcherOut = condense(
+				matcherOut === results ?
+					matcherOut.splice( preexisting, matcherOut.length ) :
+					matcherOut
+			);
+			if ( postFinder ) {
+				postFinder( null, results, matcherOut, xml );
+			} else {
+				push.apply( results, matcherOut );
+			}
+		}
+	} );
+}
+
+function matcherFromTokens( tokens ) {
+	var checkContext, matcher, j,
+		len = tokens.length,
+		leadingRelative = Expr.relative[ tokens[ 0 ].type ],
+		implicitRelative = leadingRelative || Expr.relative[ " " ],
+		i = leadingRelative ? 1 : 0,
+
+		// The foundational matcher ensures that elements are reachable from top-level context(s)
+		matchContext = addCombinator( function( elem ) {
+			return elem === checkContext;
+		}, implicitRelative, true ),
+		matchAnyContext = addCombinator( function( elem ) {
+			return indexOf( checkContext, elem ) > -1;
+		}, implicitRelative, true ),
+		matchers = [ function( elem, context, xml ) {
+			var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || (
+				( checkContext = context ).nodeType ?
+					matchContext( elem, context, xml ) :
+					matchAnyContext( elem, context, xml ) );
+
+			// Avoid hanging onto element (issue #299)
+			checkContext = null;
+			return ret;
+		} ];
+
+	for ( ; i < len; i++ ) {
+		if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) {
+			matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ];
+		} else {
+			matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches );
+
+			// Return special upon seeing a positional matcher
+			if ( matcher[ expando ] ) {
+
+				// Find the next relative operator (if any) for proper handling
+				j = ++i;
+				for ( ; j < len; j++ ) {
+					if ( Expr.relative[ tokens[ j ].type ] ) {
+						break;
+					}
+				}
+				return setMatcher(
+					i > 1 && elementMatcher( matchers ),
+					i > 1 && toSelector(
+
+					// If the preceding token was a descendant combinator, insert an implicit any-element `*`
+					tokens
+						.slice( 0, i - 1 )
+						.concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } )
+					).replace( rtrim, "$1" ),
+					matcher,
+					i < j && matcherFromTokens( tokens.slice( i, j ) ),
+					j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ),
+					j < len && toSelector( tokens )
+				);
+			}
+			matchers.push( matcher );
+		}
+	}
+
+	return elementMatcher( matchers );
+}
+
+function matcherFromGroupMatchers( elementMatchers, setMatchers ) {
+	var bySet = setMatchers.length > 0,
+		byElement = elementMatchers.length > 0,
+		superMatcher = function( seed, context, xml, results, outermost ) {
+			var elem, j, matcher,
+				matchedCount = 0,
+				i = "0",
+				unmatched = seed && [],
+				setMatched = [],
+				contextBackup = outermostContext,
+
+				// We must always have either seed elements or outermost context
+				elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ),
+
+				// Use integer dirruns iff this is the outermost matcher
+				dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ),
+				len = elems.length;
+
+			if ( outermost ) {
+
+				// Support: IE 11+, Edge 17 - 18+
+				// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+				// two documents; shallow comparisons work.
+				// eslint-disable-next-line eqeqeq
+				outermostContext = context == document || context || outermost;
+			}
+
+			// Add elements passing elementMatchers directly to results
+			// Support: IE<9, Safari
+			// Tolerate NodeList properties (IE: "length"; Safari: <number>) matching elements by id
+			for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) {
+				if ( byElement && elem ) {
+					j = 0;
+
+					// Support: IE 11+, Edge 17 - 18+
+					// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+					// two documents; shallow comparisons work.
+					// eslint-disable-next-line eqeqeq
+					if ( !context && elem.ownerDocument != document ) {
+						setDocument( elem );
+						xml = !documentIsHTML;
+					}
+					while ( ( matcher = elementMatchers[ j++ ] ) ) {
+						if ( matcher( elem, context || document, xml ) ) {
+							results.push( elem );
+							break;
+						}
+					}
+					if ( outermost ) {
+						dirruns = dirrunsUnique;
+					}
+				}
+
+				// Track unmatched elements for set filters
+				if ( bySet ) {
+
+					// They will have gone through all possible matchers
+					if ( ( elem = !matcher && elem ) ) {
+						matchedCount--;
+					}
+
+					// Lengthen the array for every element, matched or not
+					if ( seed ) {
+						unmatched.push( elem );
+					}
+				}
+			}
+
+			// `i` is now the count of elements visited above, and adding it to `matchedCount`
+			// makes the latter nonnegative.
+			matchedCount += i;
+
+			// Apply set filters to unmatched elements
+			// NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount`
+			// equals `i`), unless we didn't visit _any_ elements in the above loop because we have
+			// no element matchers and no seed.
+			// Incrementing an initially-string "0" `i` allows `i` to remain a string only in that
+			// case, which will result in a "00" `matchedCount` that differs from `i` but is also
+			// numerically zero.
+			if ( bySet && i !== matchedCount ) {
+				j = 0;
+				while ( ( matcher = setMatchers[ j++ ] ) ) {
+					matcher( unmatched, setMatched, context, xml );
+				}
+
+				if ( seed ) {
+
+					// Reintegrate element matches to eliminate the need for sorting
+					if ( matchedCount > 0 ) {
+						while ( i-- ) {
+							if ( !( unmatched[ i ] || setMatched[ i ] ) ) {
+								setMatched[ i ] = pop.call( results );
+							}
+						}
+					}
+
+					// Discard index placeholder values to get only actual matches
+					setMatched = condense( setMatched );
+				}
+
+				// Add matches to results
+				push.apply( results, setMatched );
+
+				// Seedless set matches succeeding multiple successful matchers stipulate sorting
+				if ( outermost && !seed && setMatched.length > 0 &&
+					( matchedCount + setMatchers.length ) > 1 ) {
+
+					Sizzle.uniqueSort( results );
+				}
+			}
+
+			// Override manipulation of globals by nested matchers
+			if ( outermost ) {
+				dirruns = dirrunsUnique;
+				outermostContext = contextBackup;
+			}
+
+			return unmatched;
+		};
+
+	return bySet ?
+		markFunction( superMatcher ) :
+		superMatcher;
+}
+
+compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) {
+	var i,
+		setMatchers = [],
+		elementMatchers = [],
+		cached = compilerCache[ selector + " " ];
+
+	if ( !cached ) {
+
+		// Generate a function of recursive functions that can be used to check each element
+		if ( !match ) {
+			match = tokenize( selector );
+		}
+		i = match.length;
+		while ( i-- ) {
+			cached = matcherFromTokens( match[ i ] );
+			if ( cached[ expando ] ) {
+				setMatchers.push( cached );
+			} else {
+				elementMatchers.push( cached );
+			}
+		}
+
+		// Cache the compiled function
+		cached = compilerCache(
+			selector,
+			matcherFromGroupMatchers( elementMatchers, setMatchers )
+		);
+
+		// Save selector and tokenization
+		cached.selector = selector;
+	}
+	return cached;
+};
+
+/**
+ * A low-level selection function that works with Sizzle's compiled
+ *  selector functions
+ * @param {String|Function} selector A selector or a pre-compiled
+ *  selector function built with Sizzle.compile
+ * @param {Element} context
+ * @param {Array} [results]
+ * @param {Array} [seed] A set of elements to match against
+ */
+select = Sizzle.select = function( selector, context, results, seed ) {
+	var i, tokens, token, type, find,
+		compiled = typeof selector === "function" && selector,
+		match = !seed && tokenize( ( selector = compiled.selector || selector ) );
+
+	results = results || [];
+
+	// Try to minimize operations if there is only one selector in the list and no seed
+	// (the latter of which guarantees us context)
+	if ( match.length === 1 ) {
+
+		// Reduce context if the leading compound selector is an ID
+		tokens = match[ 0 ] = match[ 0 ].slice( 0 );
+		if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" &&
+			context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) {
+
+			context = ( Expr.find[ "ID" ]( token.matches[ 0 ]
+				.replace( runescape, funescape ), context ) || [] )[ 0 ];
+			if ( !context ) {
+				return results;
+
+			// Precompiled matchers will still verify ancestry, so step up a level
+			} else if ( compiled ) {
+				context = context.parentNode;
+			}
+
+			selector = selector.slice( tokens.shift().value.length );
+		}
+
+		// Fetch a seed set for right-to-left matching
+		i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length;
+		while ( i-- ) {
+			token = tokens[ i ];
+
+			// Abort if we hit a combinator
+			if ( Expr.relative[ ( type = token.type ) ] ) {
+				break;
+			}
+			if ( ( find = Expr.find[ type ] ) ) {
+
+				// Search, expanding context for leading sibling combinators
+				if ( ( seed = find(
+					token.matches[ 0 ].replace( runescape, funescape ),
+					rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) ||
+						context
+				) ) ) {
+
+					// If seed is empty or no tokens remain, we can return early
+					tokens.splice( i, 1 );
+					selector = seed.length && toSelector( tokens );
+					if ( !selector ) {
+						push.apply( results, seed );
+						return results;
+					}
+
+					break;
+				}
+			}
+		}
+	}
+
+	// Compile and execute a filtering function if one is not provided
+	// Provide `match` to avoid retokenization if we modified the selector above
+	( compiled || compile( selector, match ) )(
+		seed,
+		context,
+		!documentIsHTML,
+		results,
+		!context || rsibling.test( selector ) && testContext( context.parentNode ) || context
+	);
+	return results;
+};
+
+// One-time assignments
+
+// Sort stability
+support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando;
+
+// Support: Chrome 14-35+
+// Always assume duplicates if they aren't passed to the comparison function
+support.detectDuplicates = !!hasDuplicate;
+
+// Initialize against the default document
+setDocument();
+
+// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27)
+// Detached nodes confoundingly follow *each other*
+support.sortDetached = assert( function( el ) {
+
+	// Should return 1, but returns 4 (following)
+	return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1;
+} );
+
+// Support: IE<8
+// Prevent attribute/property "interpolation"
+// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx
+if ( !assert( function( el ) {
+	el.innerHTML = "<a href='#'></a>";
+	return el.firstChild.getAttribute( "href" ) === "#";
+} ) ) {
+	addHandle( "type|href|height|width", function( elem, name, isXML ) {
+		if ( !isXML ) {
+			return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 );
+		}
+	} );
+}
+
+// Support: IE<9
+// Use defaultValue in place of getAttribute("value")
+if ( !support.attributes || !assert( function( el ) {
+	el.innerHTML = "<input/>";
+	el.firstChild.setAttribute( "value", "" );
+	return el.firstChild.getAttribute( "value" ) === "";
+} ) ) {
+	addHandle( "value", function( elem, _name, isXML ) {
+		if ( !isXML && elem.nodeName.toLowerCase() === "input" ) {
+			return elem.defaultValue;
+		}
+	} );
+}
+
+// Support: IE<9
+// Use getAttributeNode to fetch booleans when getAttribute lies
+if ( !assert( function( el ) {
+	return el.getAttribute( "disabled" ) == null;
+} ) ) {
+	addHandle( booleans, function( elem, name, isXML ) {
+		var val;
+		if ( !isXML ) {
+			return elem[ name ] === true ? name.toLowerCase() :
+				( val = elem.getAttributeNode( name ) ) && val.specified ?
+					val.value :
+					null;
+		}
+	} );
+}
+
+return Sizzle;
+
+} )( window );
+
+
+
+jQuery.find = Sizzle;
+jQuery.expr = Sizzle.selectors;
+
+// Deprecated
+jQuery.expr[ ":" ] = jQuery.expr.pseudos;
+jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort;
+jQuery.text = Sizzle.getText;
+jQuery.isXMLDoc = Sizzle.isXML;
+jQuery.contains = Sizzle.contains;
+jQuery.escapeSelector = Sizzle.escape;
+
+
+
+
+var dir = function( elem, dir, until ) {
+	var matched = [],
+		truncate = until !== undefined;
+
+	while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) {
+		if ( elem.nodeType === 1 ) {
+			if ( truncate && jQuery( elem ).is( until ) ) {
+				break;
+			}
+			matched.push( elem );
+		}
+	}
+	return matched;
+};
+
+
+var siblings = function( n, elem ) {
+	var matched = [];
+
+	for ( ; n; n = n.nextSibling ) {
+		if ( n.nodeType === 1 && n !== elem ) {
+			matched.push( n );
+		}
+	}
+
+	return matched;
+};
+
+
+var rneedsContext = jQuery.expr.match.needsContext;
+
+
+
+function nodeName( elem, name ) {
+
+	return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase();
+
+}
+var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i );
+
+
+
+// Implement the identical functionality for filter and not
+function winnow( elements, qualifier, not ) {
+	if ( isFunction( qualifier ) ) {
+		return jQuery.grep( elements, function( elem, i ) {
+			return !!qualifier.call( elem, i, elem ) !== not;
+		} );
+	}
+
+	// Single element
+	if ( qualifier.nodeType ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( elem === qualifier ) !== not;
+		} );
+	}
+
+	// Arraylike of elements (jQuery, arguments, Array)
+	if ( typeof qualifier !== "string" ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( indexOf.call( qualifier, elem ) > -1 ) !== not;
+		} );
+	}
+
+	// Filtered directly for both simple and complex selectors
+	return jQuery.filter( qualifier, elements, not );
+}
+
+jQuery.filter = function( expr, elems, not ) {
+	var elem = elems[ 0 ];
+
+	if ( not ) {
+		expr = ":not(" + expr + ")";
+	}
+
+	if ( elems.length === 1 && elem.nodeType === 1 ) {
+		return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [];
+	}
+
+	return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) {
+		return elem.nodeType === 1;
+	} ) );
+};
+
+jQuery.fn.extend( {
+	find: function( selector ) {
+		var i, ret,
+			len = this.length,
+			self = this;
+
+		if ( typeof selector !== "string" ) {
+			return this.pushStack( jQuery( selector ).filter( function() {
+				for ( i = 0; i < len; i++ ) {
+					if ( jQuery.contains( self[ i ], this ) ) {
+						return true;
+					}
+				}
+			} ) );
+		}
+
+		ret = this.pushStack( [] );
+
+		for ( i = 0; i < len; i++ ) {
+			jQuery.find( selector, self[ i ], ret );
+		}
+
+		return len > 1 ? jQuery.uniqueSort( ret ) : ret;
+	},
+	filter: function( selector ) {
+		return this.pushStack( winnow( this, selector || [], false ) );
+	},
+	not: function( selector ) {
+		return this.pushStack( winnow( this, selector || [], true ) );
+	},
+	is: function( selector ) {
+		return !!winnow(
+			this,
+
+			// If this is a positional/relative selector, check membership in the returned set
+			// so $("p:first").is("p:last") won't return true for a doc with two "p".
+			typeof selector === "string" && rneedsContext.test( selector ) ?
+				jQuery( selector ) :
+				selector || [],
+			false
+		).length;
+	}
+} );
+
+
+// Initialize a jQuery object
+
+
+// A central reference to the root jQuery(document)
+var rootjQuery,
+
+	// A simple way to check for HTML strings
+	// Prioritize #id over <tag> to avoid XSS via location.hash (#9521)
+	// Strict HTML recognition (#11290: must start with <)
+	// Shortcut simple #id case for speed
+	rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/,
+
+	init = jQuery.fn.init = function( selector, context, root ) {
+		var match, elem;
+
+		// HANDLE: $(""), $(null), $(undefined), $(false)
+		if ( !selector ) {
+			return this;
+		}
+
+		// Method init() accepts an alternate rootjQuery
+		// so migrate can support jQuery.sub (gh-2101)
+		root = root || rootjQuery;
+
+		// Handle HTML strings
+		if ( typeof selector === "string" ) {
+			if ( selector[ 0 ] === "<" &&
+				selector[ selector.length - 1 ] === ">" &&
+				selector.length >= 3 ) {
+
+				// Assume that strings that start and end with <> are HTML and skip the regex check
+				match = [ null, selector, null ];
+
+			} else {
+				match = rquickExpr.exec( selector );
+			}
+
+			// Match html or make sure no context is specified for #id
+			if ( match && ( match[ 1 ] || !context ) ) {
+
+				// HANDLE: $(html) -> $(array)
+				if ( match[ 1 ] ) {
+					context = context instanceof jQuery ? context[ 0 ] : context;
+
+					// Option to run scripts is true for back-compat
+					// Intentionally let the error be thrown if parseHTML is not present
+					jQuery.merge( this, jQuery.parseHTML(
+						match[ 1 ],
+						context && context.nodeType ? context.ownerDocument || context : document,
+						true
+					) );
+
+					// HANDLE: $(html, props)
+					if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) {
+						for ( match in context ) {
+
+							// Properties of context are called as methods if possible
+							if ( isFunction( this[ match ] ) ) {
+								this[ match ]( context[ match ] );
+
+							// ...and otherwise set as attributes
+							} else {
+								this.attr( match, context[ match ] );
+							}
+						}
+					}
+
+					return this;
+
+				// HANDLE: $(#id)
+				} else {
+					elem = document.getElementById( match[ 2 ] );
+
+					if ( elem ) {
+
+						// Inject the element directly into the jQuery object
+						this[ 0 ] = elem;
+						this.length = 1;
+					}
+					return this;
+				}
+
+			// HANDLE: $(expr, $(...))
+			} else if ( !context || context.jquery ) {
+				return ( context || root ).find( selector );
+
+			// HANDLE: $(expr, context)
+			// (which is just equivalent to: $(context).find(expr)
+			} else {
+				return this.constructor( context ).find( selector );
+			}
+
+		// HANDLE: $(DOMElement)
+		} else if ( selector.nodeType ) {
+			this[ 0 ] = selector;
+			this.length = 1;
+			return this;
+
+		// HANDLE: $(function)
+		// Shortcut for document ready
+		} else if ( isFunction( selector ) ) {
+			return root.ready !== undefined ?
+				root.ready( selector ) :
+
+				// Execute immediately if ready is not present
+				selector( jQuery );
+		}
+
+		return jQuery.makeArray( selector, this );
+	};
+
+// Give the init function the jQuery prototype for later instantiation
+init.prototype = jQuery.fn;
+
+// Initialize central reference
+rootjQuery = jQuery( document );
+
+
+var rparentsprev = /^(?:parents|prev(?:Until|All))/,
+
+	// Methods guaranteed to produce a unique set when starting from a unique set
+	guaranteedUnique = {
+		children: true,
+		contents: true,
+		next: true,
+		prev: true
+	};
+
+jQuery.fn.extend( {
+	has: function( target ) {
+		var targets = jQuery( target, this ),
+			l = targets.length;
+
+		return this.filter( function() {
+			var i = 0;
+			for ( ; i < l; i++ ) {
+				if ( jQuery.contains( this, targets[ i ] ) ) {
+					return true;
+				}
+			}
+		} );
+	},
+
+	closest: function( selectors, context ) {
+		var cur,
+			i = 0,
+			l = this.length,
+			matched = [],
+			targets = typeof selectors !== "string" && jQuery( selectors );
+
+		// Positional selectors never match, since there's no _selection_ context
+		if ( !rneedsContext.test( selectors ) ) {
+			for ( ; i < l; i++ ) {
+				for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) {
+
+					// Always skip document fragments
+					if ( cur.nodeType < 11 && ( targets ?
+						targets.index( cur ) > -1 :
+
+						// Don't pass non-elements to Sizzle
+						cur.nodeType === 1 &&
+							jQuery.find.matchesSelector( cur, selectors ) ) ) {
+
+						matched.push( cur );
+						break;
+					}
+				}
+			}
+		}
+
+		return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched );
+	},
+
+	// Determine the position of an element within the set
+	index: function( elem ) {
+
+		// No argument, return index in parent
+		if ( !elem ) {
+			return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1;
+		}
+
+		// Index in selector
+		if ( typeof elem === "string" ) {
+			return indexOf.call( jQuery( elem ), this[ 0 ] );
+		}
+
+		// Locate the position of the desired element
+		return indexOf.call( this,
+
+			// If it receives a jQuery object, the first element is used
+			elem.jquery ? elem[ 0 ] : elem
+		);
+	},
+
+	add: function( selector, context ) {
+		return this.pushStack(
+			jQuery.uniqueSort(
+				jQuery.merge( this.get(), jQuery( selector, context ) )
+			)
+		);
+	},
+
+	addBack: function( selector ) {
+		return this.add( selector == null ?
+			this.prevObject : this.prevObject.filter( selector )
+		);
+	}
+} );
+
+function sibling( cur, dir ) {
+	while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {}
+	return cur;
+}
+
+jQuery.each( {
+	parent: function( elem ) {
+		var parent = elem.parentNode;
+		return parent && parent.nodeType !== 11 ? parent : null;
+	},
+	parents: function( elem ) {
+		return dir( elem, "parentNode" );
+	},
+	parentsUntil: function( elem, _i, until ) {
+		return dir( elem, "parentNode", until );
+	},
+	next: function( elem ) {
+		return sibling( elem, "nextSibling" );
+	},
+	prev: function( elem ) {
+		return sibling( elem, "previousSibling" );
+	},
+	nextAll: function( elem ) {
+		return dir( elem, "nextSibling" );
+	},
+	prevAll: function( elem ) {
+		return dir( elem, "previousSibling" );
+	},
+	nextUntil: function( elem, _i, until ) {
+		return dir( elem, "nextSibling", until );
+	},
+	prevUntil: function( elem, _i, until ) {
+		return dir( elem, "previousSibling", until );
+	},
+	siblings: function( elem ) {
+		return siblings( ( elem.parentNode || {} ).firstChild, elem );
+	},
+	children: function( elem ) {
+		return siblings( elem.firstChild );
+	},
+	contents: function( elem ) {
+		if ( elem.contentDocument != null &&
+
+			// Support: IE 11+
+			// <object> elements with no `data` attribute has an object
+			// `contentDocument` with a `null` prototype.
+			getProto( elem.contentDocument ) ) {
+
+			return elem.contentDocument;
+		}
+
+		// Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only
+		// Treat the template element as a regular one in browsers that
+		// don't support it.
+		if ( nodeName( elem, "template" ) ) {
+			elem = elem.content || elem;
+		}
+
+		return jQuery.merge( [], elem.childNodes );
+	}
+}, function( name, fn ) {
+	jQuery.fn[ name ] = function( until, selector ) {
+		var matched = jQuery.map( this, fn, until );
+
+		if ( name.slice( -5 ) !== "Until" ) {
+			selector = until;
+		}
+
+		if ( selector && typeof selector === "string" ) {
+			matched = jQuery.filter( selector, matched );
+		}
+
+		if ( this.length > 1 ) {
+
+			// Remove duplicates
+			if ( !guaranteedUnique[ name ] ) {
+				jQuery.uniqueSort( matched );
+			}
+
+			// Reverse order for parents* and prev-derivatives
+			if ( rparentsprev.test( name ) ) {
+				matched.reverse();
+			}
+		}
+
+		return this.pushStack( matched );
+	};
+} );
+var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g );
+
+
+
+// Convert String-formatted options into Object-formatted ones
+function createOptions( options ) {
+	var object = {};
+	jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) {
+		object[ flag ] = true;
+	} );
+	return object;
+}
+
+/*
+ * Create a callback list using the following parameters:
+ *
+ *	options: an optional list of space-separated options that will change how
+ *			the callback list behaves or a more traditional option object
+ *
+ * By default a callback list will act like an event callback list and can be
+ * "fired" multiple times.
+ *
+ * Possible options:
+ *
+ *	once:			will ensure the callback list can only be fired once (like a Deferred)
+ *
+ *	memory:			will keep track of previous values and will call any callback added
+ *					after the list has been fired right away with the latest "memorized"
+ *					values (like a Deferred)
+ *
+ *	unique:			will ensure a callback can only be added once (no duplicate in the list)
+ *
+ *	stopOnFalse:	interrupt callings when a callback returns false
+ *
+ */
+jQuery.Callbacks = function( options ) {
+
+	// Convert options from String-formatted to Object-formatted if needed
+	// (we check in cache first)
+	options = typeof options === "string" ?
+		createOptions( options ) :
+		jQuery.extend( {}, options );
+
+	var // Flag to know if list is currently firing
+		firing,
+
+		// Last fire value for non-forgettable lists
+		memory,
+
+		// Flag to know if list was already fired
+		fired,
+
+		// Flag to prevent firing
+		locked,
+
+		// Actual callback list
+		list = [],
+
+		// Queue of execution data for repeatable lists
+		queue = [],
+
+		// Index of currently firing callback (modified by add/remove as needed)
+		firingIndex = -1,
+
+		// Fire callbacks
+		fire = function() {
+
+			// Enforce single-firing
+			locked = locked || options.once;
+
+			// Execute callbacks for all pending executions,
+			// respecting firingIndex overrides and runtime changes
+			fired = firing = true;
+			for ( ; queue.length; firingIndex = -1 ) {
+				memory = queue.shift();
+				while ( ++firingIndex < list.length ) {
+
+					// Run callback and check for early termination
+					if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false &&
+						options.stopOnFalse ) {
+
+						// Jump to end and forget the data so .add doesn't re-fire
+						firingIndex = list.length;
+						memory = false;
+					}
+				}
+			}
+
+			// Forget the data if we're done with it
+			if ( !options.memory ) {
+				memory = false;
+			}
+
+			firing = false;
+
+			// Clean up if we're done firing for good
+			if ( locked ) {
+
+				// Keep an empty list if we have data for future add calls
+				if ( memory ) {
+					list = [];
+
+				// Otherwise, this object is spent
+				} else {
+					list = "";
+				}
+			}
+		},
+
+		// Actual Callbacks object
+		self = {
+
+			// Add a callback or a collection of callbacks to the list
+			add: function() {
+				if ( list ) {
+
+					// If we have memory from a past run, we should fire after adding
+					if ( memory && !firing ) {
+						firingIndex = list.length - 1;
+						queue.push( memory );
+					}
+
+					( function add( args ) {
+						jQuery.each( args, function( _, arg ) {
+							if ( isFunction( arg ) ) {
+								if ( !options.unique || !self.has( arg ) ) {
+									list.push( arg );
+								}
+							} else if ( arg && arg.length && toType( arg ) !== "string" ) {
+
+								// Inspect recursively
+								add( arg );
+							}
+						} );
+					} )( arguments );
+
+					if ( memory && !firing ) {
+						fire();
+					}
+				}
+				return this;
+			},
+
+			// Remove a callback from the list
+			remove: function() {
+				jQuery.each( arguments, function( _, arg ) {
+					var index;
+					while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) {
+						list.splice( index, 1 );
+
+						// Handle firing indexes
+						if ( index <= firingIndex ) {
+							firingIndex--;
+						}
+					}
+				} );
+				return this;
+			},
+
+			// Check if a given callback is in the list.
+			// If no argument is given, return whether or not list has callbacks attached.
+			has: function( fn ) {
+				return fn ?
+					jQuery.inArray( fn, list ) > -1 :
+					list.length > 0;
+			},
+
+			// Remove all callbacks from the list
+			empty: function() {
+				if ( list ) {
+					list = [];
+				}
+				return this;
+			},
+
+			// Disable .fire and .add
+			// Abort any current/pending executions
+			// Clear all callbacks and values
+			disable: function() {
+				locked = queue = [];
+				list = memory = "";
+				return this;
+			},
+			disabled: function() {
+				return !list;
+			},
+
+			// Disable .fire
+			// Also disable .add unless we have memory (since it would have no effect)
+			// Abort any pending executions
+			lock: function() {
+				locked = queue = [];
+				if ( !memory && !firing ) {
+					list = memory = "";
+				}
+				return this;
+			},
+			locked: function() {
+				return !!locked;
+			},
+
+			// Call all callbacks with the given context and arguments
+			fireWith: function( context, args ) {
+				if ( !locked ) {
+					args = args || [];
+					args = [ context, args.slice ? args.slice() : args ];
+					queue.push( args );
+					if ( !firing ) {
+						fire();
+					}
+				}
+				return this;
+			},
+
+			// Call all the callbacks with the given arguments
+			fire: function() {
+				self.fireWith( this, arguments );
+				return this;
+			},
+
+			// To know if the callbacks have already been called at least once
+			fired: function() {
+				return !!fired;
+			}
+		};
+
+	return self;
+};
+
+
+function Identity( v ) {
+	return v;
+}
+function Thrower( ex ) {
+	throw ex;
+}
+
+function adoptValue( value, resolve, reject, noValue ) {
+	var method;
+
+	try {
+
+		// Check for promise aspect first to privilege synchronous behavior
+		if ( value && isFunction( ( method = value.promise ) ) ) {
+			method.call( value ).done( resolve ).fail( reject );
+
+		// Other thenables
+		} else if ( value && isFunction( ( method = value.then ) ) ) {
+			method.call( value, resolve, reject );
+
+		// Other non-thenables
+		} else {
+
+			// Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer:
+			// * false: [ value ].slice( 0 ) => resolve( value )
+			// * true: [ value ].slice( 1 ) => resolve()
+			resolve.apply( undefined, [ value ].slice( noValue ) );
+		}
+
+	// For Promises/A+, convert exceptions into rejections
+	// Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in
+	// Deferred#then to conditionally suppress rejection.
+	} catch ( value ) {
+
+		// Support: Android 4.0 only
+		// Strict mode functions invoked without .call/.apply get global-object context
+		reject.apply( undefined, [ value ] );
+	}
+}
+
+jQuery.extend( {
+
+	Deferred: function( func ) {
+		var tuples = [
+
+				// action, add listener, callbacks,
+				// ... .then handlers, argument index, [final state]
+				[ "notify", "progress", jQuery.Callbacks( "memory" ),
+					jQuery.Callbacks( "memory" ), 2 ],
+				[ "resolve", "done", jQuery.Callbacks( "once memory" ),
+					jQuery.Callbacks( "once memory" ), 0, "resolved" ],
+				[ "reject", "fail", jQuery.Callbacks( "once memory" ),
+					jQuery.Callbacks( "once memory" ), 1, "rejected" ]
+			],
+			state = "pending",
+			promise = {
+				state: function() {
+					return state;
+				},
+				always: function() {
+					deferred.done( arguments ).fail( arguments );
+					return this;
+				},
+				"catch": function( fn ) {
+					return promise.then( null, fn );
+				},
+
+				// Keep pipe for back-compat
+				pipe: function( /* fnDone, fnFail, fnProgress */ ) {
+					var fns = arguments;
+
+					return jQuery.Deferred( function( newDefer ) {
+						jQuery.each( tuples, function( _i, tuple ) {
+
+							// Map tuples (progress, done, fail) to arguments (done, fail, progress)
+							var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ];
+
+							// deferred.progress(function() { bind to newDefer or newDefer.notify })
+							// deferred.done(function() { bind to newDefer or newDefer.resolve })
+							// deferred.fail(function() { bind to newDefer or newDefer.reject })
+							deferred[ tuple[ 1 ] ]( function() {
+								var returned = fn && fn.apply( this, arguments );
+								if ( returned && isFunction( returned.promise ) ) {
+									returned.promise()
+										.progress( newDefer.notify )
+										.done( newDefer.resolve )
+										.fail( newDefer.reject );
+								} else {
+									newDefer[ tuple[ 0 ] + "With" ](
+										this,
+										fn ? [ returned ] : arguments
+									);
+								}
+							} );
+						} );
+						fns = null;
+					} ).promise();
+				},
+				then: function( onFulfilled, onRejected, onProgress ) {
+					var maxDepth = 0;
+					function resolve( depth, deferred, handler, special ) {
+						return function() {
+							var that = this,
+								args = arguments,
+								mightThrow = function() {
+									var returned, then;
+
+									// Support: Promises/A+ section 2.3.3.3.3
+									// https://promisesaplus.com/#point-59
+									// Ignore double-resolution attempts
+									if ( depth < maxDepth ) {
+										return;
+									}
+
+									returned = handler.apply( that, args );
+
+									// Support: Promises/A+ section 2.3.1
+									// https://promisesaplus.com/#point-48
+									if ( returned === deferred.promise() ) {
+										throw new TypeError( "Thenable self-resolution" );
+									}
+
+									// Support: Promises/A+ sections 2.3.3.1, 3.5
+									// https://promisesaplus.com/#point-54
+									// https://promisesaplus.com/#point-75
+									// Retrieve `then` only once
+									then = returned &&
+
+										// Support: Promises/A+ section 2.3.4
+										// https://promisesaplus.com/#point-64
+										// Only check objects and functions for thenability
+										( typeof returned === "object" ||
+											typeof returned === "function" ) &&
+										returned.then;
+
+									// Handle a returned thenable
+									if ( isFunction( then ) ) {
+
+										// Special processors (notify) just wait for resolution
+										if ( special ) {
+											then.call(
+												returned,
+												resolve( maxDepth, deferred, Identity, special ),
+												resolve( maxDepth, deferred, Thrower, special )
+											);
+
+										// Normal processors (resolve) also hook into progress
+										} else {
+
+											// ...and disregard older resolution values
+											maxDepth++;
+
+											then.call(
+												returned,
+												resolve( maxDepth, deferred, Identity, special ),
+												resolve( maxDepth, deferred, Thrower, special ),
+												resolve( maxDepth, deferred, Identity,
+													deferred.notifyWith )
+											);
+										}
+
+									// Handle all other returned values
+									} else {
+
+										// Only substitute handlers pass on context
+										// and multiple values (non-spec behavior)
+										if ( handler !== Identity ) {
+											that = undefined;
+											args = [ returned ];
+										}
+
+										// Process the value(s)
+										// Default process is resolve
+										( special || deferred.resolveWith )( that, args );
+									}
+								},
+
+								// Only normal processors (resolve) catch and reject exceptions
+								process = special ?
+									mightThrow :
+									function() {
+										try {
+											mightThrow();
+										} catch ( e ) {
+
+											if ( jQuery.Deferred.exceptionHook ) {
+												jQuery.Deferred.exceptionHook( e,
+													process.stackTrace );
+											}
+
+											// Support: Promises/A+ section 2.3.3.3.4.1
+											// https://promisesaplus.com/#point-61
+											// Ignore post-resolution exceptions
+											if ( depth + 1 >= maxDepth ) {
+
+												// Only substitute handlers pass on context
+												// and multiple values (non-spec behavior)
+												if ( handler !== Thrower ) {
+													that = undefined;
+													args = [ e ];
+												}
+
+												deferred.rejectWith( that, args );
+											}
+										}
+									};
+
+							// Support: Promises/A+ section 2.3.3.3.1
+							// https://promisesaplus.com/#point-57
+							// Re-resolve promises immediately to dodge false rejection from
+							// subsequent errors
+							if ( depth ) {
+								process();
+							} else {
+
+								// Call an optional hook to record the stack, in case of exception
+								// since it's otherwise lost when execution goes async
+								if ( jQuery.Deferred.getStackHook ) {
+									process.stackTrace = jQuery.Deferred.getStackHook();
+								}
+								window.setTimeout( process );
+							}
+						};
+					}
+
+					return jQuery.Deferred( function( newDefer ) {
+
+						// progress_handlers.add( ... )
+						tuples[ 0 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onProgress ) ?
+									onProgress :
+									Identity,
+								newDefer.notifyWith
+							)
+						);
+
+						// fulfilled_handlers.add( ... )
+						tuples[ 1 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onFulfilled ) ?
+									onFulfilled :
+									Identity
+							)
+						);
+
+						// rejected_handlers.add( ... )
+						tuples[ 2 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onRejected ) ?
+									onRejected :
+									Thrower
+							)
+						);
+					} ).promise();
+				},
+
+				// Get a promise for this deferred
+				// If obj is provided, the promise aspect is added to the object
+				promise: function( obj ) {
+					return obj != null ? jQuery.extend( obj, promise ) : promise;
+				}
+			},
+			deferred = {};
+
+		// Add list-specific methods
+		jQuery.each( tuples, function( i, tuple ) {
+			var list = tuple[ 2 ],
+				stateString = tuple[ 5 ];
+
+			// promise.progress = list.add
+			// promise.done = list.add
+			// promise.fail = list.add
+			promise[ tuple[ 1 ] ] = list.add;
+
+			// Handle state
+			if ( stateString ) {
+				list.add(
+					function() {
+
+						// state = "resolved" (i.e., fulfilled)
+						// state = "rejected"
+						state = stateString;
+					},
+
+					// rejected_callbacks.disable
+					// fulfilled_callbacks.disable
+					tuples[ 3 - i ][ 2 ].disable,
+
+					// rejected_handlers.disable
+					// fulfilled_handlers.disable
+					tuples[ 3 - i ][ 3 ].disable,
+
+					// progress_callbacks.lock
+					tuples[ 0 ][ 2 ].lock,
+
+					// progress_handlers.lock
+					tuples[ 0 ][ 3 ].lock
+				);
+			}
+
+			// progress_handlers.fire
+			// fulfilled_handlers.fire
+			// rejected_handlers.fire
+			list.add( tuple[ 3 ].fire );
+
+			// deferred.notify = function() { deferred.notifyWith(...) }
+			// deferred.resolve = function() { deferred.resolveWith(...) }
+			// deferred.reject = function() { deferred.rejectWith(...) }
+			deferred[ tuple[ 0 ] ] = function() {
+				deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments );
+				return this;
+			};
+
+			// deferred.notifyWith = list.fireWith
+			// deferred.resolveWith = list.fireWith
+			// deferred.rejectWith = list.fireWith
+			deferred[ tuple[ 0 ] + "With" ] = list.fireWith;
+		} );
+
+		// Make the deferred a promise
+		promise.promise( deferred );
+
+		// Call given func if any
+		if ( func ) {
+			func.call( deferred, deferred );
+		}
+
+		// All done!
+		return deferred;
+	},
+
+	// Deferred helper
+	when: function( singleValue ) {
+		var
+
+			// count of uncompleted subordinates
+			remaining = arguments.length,
+
+			// count of unprocessed arguments
+			i = remaining,
+
+			// subordinate fulfillment data
+			resolveContexts = Array( i ),
+			resolveValues = slice.call( arguments ),
+
+			// the primary Deferred
+			primary = jQuery.Deferred(),
+
+			// subordinate callback factory
+			updateFunc = function( i ) {
+				return function( value ) {
+					resolveContexts[ i ] = this;
+					resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value;
+					if ( !( --remaining ) ) {
+						primary.resolveWith( resolveContexts, resolveValues );
+					}
+				};
+			};
+
+		// Single- and empty arguments are adopted like Promise.resolve
+		if ( remaining <= 1 ) {
+			adoptValue( singleValue, primary.done( updateFunc( i ) ).resolve, primary.reject,
+				!remaining );
+
+			// Use .then() to unwrap secondary thenables (cf. gh-3000)
+			if ( primary.state() === "pending" ||
+				isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) {
+
+				return primary.then();
+			}
+		}
+
+		// Multiple arguments are aggregated like Promise.all array elements
+		while ( i-- ) {
+			adoptValue( resolveValues[ i ], updateFunc( i ), primary.reject );
+		}
+
+		return primary.promise();
+	}
+} );
+
+
+// These usually indicate a programmer mistake during development,
+// warn about them ASAP rather than swallowing them by default.
+var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;
+
+jQuery.Deferred.exceptionHook = function( error, stack ) {
+
+	// Support: IE 8 - 9 only
+	// Console exists when dev tools are open, which can happen at any time
+	if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) {
+		window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack );
+	}
+};
+
+
+
+
+jQuery.readyException = function( error ) {
+	window.setTimeout( function() {
+		throw error;
+	} );
+};
+
+
+
+
+// The deferred used on DOM ready
+var readyList = jQuery.Deferred();
+
+jQuery.fn.ready = function( fn ) {
+
+	readyList
+		.then( fn )
+
+		// Wrap jQuery.readyException in a function so that the lookup
+		// happens at the time of error handling instead of callback
+		// registration.
+		.catch( function( error ) {
+			jQuery.readyException( error );
+		} );
+
+	return this;
+};
+
+jQuery.extend( {
+
+	// Is the DOM ready to be used? Set to true once it occurs.
+	isReady: false,
+
+	// A counter to track how many items to wait for before
+	// the ready event fires. See #6781
+	readyWait: 1,
+
+	// Handle when the DOM is ready
+	ready: function( wait ) {
+
+		// Abort if there are pending holds or we're already ready
+		if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) {
+			return;
+		}
+
+		// Remember that the DOM is ready
+		jQuery.isReady = true;
+
+		// If a normal DOM Ready event fired, decrement, and wait if need be
+		if ( wait !== true && --jQuery.readyWait > 0 ) {
+			return;
+		}
+
+		// If there are functions bound, to execute
+		readyList.resolveWith( document, [ jQuery ] );
+	}
+} );
+
+jQuery.ready.then = readyList.then;
+
+// The ready event handler and self cleanup method
+function completed() {
+	document.removeEventListener( "DOMContentLoaded", completed );
+	window.removeEventListener( "load", completed );
+	jQuery.ready();
+}
+
+// Catch cases where $(document).ready() is called
+// after the browser event has already occurred.
+// Support: IE <=9 - 10 only
+// Older IE sometimes signals "interactive" too soon
+if ( document.readyState === "complete" ||
+	( document.readyState !== "loading" && !document.documentElement.doScroll ) ) {
+
+	// Handle it asynchronously to allow scripts the opportunity to delay ready
+	window.setTimeout( jQuery.ready );
+
+} else {
+
+	// Use the handy event callback
+	document.addEventListener( "DOMContentLoaded", completed );
+
+	// A fallback to window.onload, that will always work
+	window.addEventListener( "load", completed );
+}
+
+
+
+
+// Multifunctional method to get and set values of a collection
+// The value/s can optionally be executed if it's a function
+var access = function( elems, fn, key, value, chainable, emptyGet, raw ) {
+	var i = 0,
+		len = elems.length,
+		bulk = key == null;
+
+	// Sets many values
+	if ( toType( key ) === "object" ) {
+		chainable = true;
+		for ( i in key ) {
+			access( elems, fn, i, key[ i ], true, emptyGet, raw );
+		}
+
+	// Sets one value
+	} else if ( value !== undefined ) {
+		chainable = true;
+
+		if ( !isFunction( value ) ) {
+			raw = true;
+		}
+
+		if ( bulk ) {
+
+			// Bulk operations run against the entire set
+			if ( raw ) {
+				fn.call( elems, value );
+				fn = null;
+
+			// ...except when executing function values
+			} else {
+				bulk = fn;
+				fn = function( elem, _key, value ) {
+					return bulk.call( jQuery( elem ), value );
+				};
+			}
+		}
+
+		if ( fn ) {
+			for ( ; i < len; i++ ) {
+				fn(
+					elems[ i ], key, raw ?
+						value :
+						value.call( elems[ i ], i, fn( elems[ i ], key ) )
+				);
+			}
+		}
+	}
+
+	if ( chainable ) {
+		return elems;
+	}
+
+	// Gets
+	if ( bulk ) {
+		return fn.call( elems );
+	}
+
+	return len ? fn( elems[ 0 ], key ) : emptyGet;
+};
+
+
+// Matches dashed string for camelizing
+var rmsPrefix = /^-ms-/,
+	rdashAlpha = /-([a-z])/g;
+
+// Used by camelCase as callback to replace()
+function fcamelCase( _all, letter ) {
+	return letter.toUpperCase();
+}
+
+// Convert dashed to camelCase; used by the css and data modules
+// Support: IE <=9 - 11, Edge 12 - 15
+// Microsoft forgot to hump their vendor prefix (#9572)
+function camelCase( string ) {
+	return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase );
+}
+var acceptData = function( owner ) {
+
+	// Accepts only:
+	//  - Node
+	//    - Node.ELEMENT_NODE
+	//    - Node.DOCUMENT_NODE
+	//  - Object
+	//    - Any
+	return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType );
+};
+
+
+
+
+function Data() {
+	this.expando = jQuery.expando + Data.uid++;
+}
+
+Data.uid = 1;
+
+Data.prototype = {
+
+	cache: function( owner ) {
+
+		// Check if the owner object already has a cache
+		var value = owner[ this.expando ];
+
+		// If not, create one
+		if ( !value ) {
+			value = {};
+
+			// We can accept data for non-element nodes in modern browsers,
+			// but we should not, see #8335.
+			// Always return an empty object.
+			if ( acceptData( owner ) ) {
+
+				// If it is a node unlikely to be stringify-ed or looped over
+				// use plain assignment
+				if ( owner.nodeType ) {
+					owner[ this.expando ] = value;
+
+				// Otherwise secure it in a non-enumerable property
+				// configurable must be true to allow the property to be
+				// deleted when data is removed
+				} else {
+					Object.defineProperty( owner, this.expando, {
+						value: value,
+						configurable: true
+					} );
+				}
+			}
+		}
+
+		return value;
+	},
+	set: function( owner, data, value ) {
+		var prop,
+			cache = this.cache( owner );
+
+		// Handle: [ owner, key, value ] args
+		// Always use camelCase key (gh-2257)
+		if ( typeof data === "string" ) {
+			cache[ camelCase( data ) ] = value;
+
+		// Handle: [ owner, { properties } ] args
+		} else {
+
+			// Copy the properties one-by-one to the cache object
+			for ( prop in data ) {
+				cache[ camelCase( prop ) ] = data[ prop ];
+			}
+		}
+		return cache;
+	},
+	get: function( owner, key ) {
+		return key === undefined ?
+			this.cache( owner ) :
+
+			// Always use camelCase key (gh-2257)
+			owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ];
+	},
+	access: function( owner, key, value ) {
+
+		// In cases where either:
+		//
+		//   1. No key was specified
+		//   2. A string key was specified, but no value provided
+		//
+		// Take the "read" path and allow the get method to determine
+		// which value to return, respectively either:
+		//
+		//   1. The entire cache object
+		//   2. The data stored at the key
+		//
+		if ( key === undefined ||
+				( ( key && typeof key === "string" ) && value === undefined ) ) {
+
+			return this.get( owner, key );
+		}
+
+		// When the key is not a string, or both a key and value
+		// are specified, set or extend (existing objects) with either:
+		//
+		//   1. An object of properties
+		//   2. A key and value
+		//
+		this.set( owner, key, value );
+
+		// Since the "set" path can have two possible entry points
+		// return the expected data based on which path was taken[*]
+		return value !== undefined ? value : key;
+	},
+	remove: function( owner, key ) {
+		var i,
+			cache = owner[ this.expando ];
+
+		if ( cache === undefined ) {
+			return;
+		}
+
+		if ( key !== undefined ) {
+
+			// Support array or space separated string of keys
+			if ( Array.isArray( key ) ) {
+
+				// If key is an array of keys...
+				// We always set camelCase keys, so remove that.
+				key = key.map( camelCase );
+			} else {
+				key = camelCase( key );
+
+				// If a key with the spaces exists, use it.
+				// Otherwise, create an array by matching non-whitespace
+				key = key in cache ?
+					[ key ] :
+					( key.match( rnothtmlwhite ) || [] );
+			}
+
+			i = key.length;
+
+			while ( i-- ) {
+				delete cache[ key[ i ] ];
+			}
+		}
+
+		// Remove the expando if there's no more data
+		if ( key === undefined || jQuery.isEmptyObject( cache ) ) {
+
+			// Support: Chrome <=35 - 45
+			// Webkit & Blink performance suffers when deleting properties
+			// from DOM nodes, so set to undefined instead
+			// https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted)
+			if ( owner.nodeType ) {
+				owner[ this.expando ] = undefined;
+			} else {
+				delete owner[ this.expando ];
+			}
+		}
+	},
+	hasData: function( owner ) {
+		var cache = owner[ this.expando ];
+		return cache !== undefined && !jQuery.isEmptyObject( cache );
+	}
+};
+var dataPriv = new Data();
+
+var dataUser = new Data();
+
+
+
+//	Implementation Summary
+//
+//	1. Enforce API surface and semantic compatibility with 1.9.x branch
+//	2. Improve the module's maintainability by reducing the storage
+//		paths to a single mechanism.
+//	3. Use the same single mechanism to support "private" and "user" data.
+//	4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData)
+//	5. Avoid exposing implementation details on user objects (eg. expando properties)
+//	6. Provide a clear path for implementation upgrade to WeakMap in 2014
+
+var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,
+	rmultiDash = /[A-Z]/g;
+
+function getData( data ) {
+	if ( data === "true" ) {
+		return true;
+	}
+
+	if ( data === "false" ) {
+		return false;
+	}
+
+	if ( data === "null" ) {
+		return null;
+	}
+
+	// Only convert to a number if it doesn't change the string
+	if ( data === +data + "" ) {
+		return +data;
+	}
+
+	if ( rbrace.test( data ) ) {
+		return JSON.parse( data );
+	}
+
+	return data;
+}
+
+function dataAttr( elem, key, data ) {
+	var name;
+
+	// If nothing was found internally, try to fetch any
+	// data from the HTML5 data-* attribute
+	if ( data === undefined && elem.nodeType === 1 ) {
+		name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase();
+		data = elem.getAttribute( name );
+
+		if ( typeof data === "string" ) {
+			try {
+				data = getData( data );
+			} catch ( e ) {}
+
+			// Make sure we set the data so it isn't changed later
+			dataUser.set( elem, key, data );
+		} else {
+			data = undefined;
+		}
+	}
+	return data;
+}
+
+jQuery.extend( {
+	hasData: function( elem ) {
+		return dataUser.hasData( elem ) || dataPriv.hasData( elem );
+	},
+
+	data: function( elem, name, data ) {
+		return dataUser.access( elem, name, data );
+	},
+
+	removeData: function( elem, name ) {
+		dataUser.remove( elem, name );
+	},
+
+	// TODO: Now that all calls to _data and _removeData have been replaced
+	// with direct calls to dataPriv methods, these can be deprecated.
+	_data: function( elem, name, data ) {
+		return dataPriv.access( elem, name, data );
+	},
+
+	_removeData: function( elem, name ) {
+		dataPriv.remove( elem, name );
+	}
+} );
+
+jQuery.fn.extend( {
+	data: function( key, value ) {
+		var i, name, data,
+			elem = this[ 0 ],
+			attrs = elem && elem.attributes;
+
+		// Gets all values
+		if ( key === undefined ) {
+			if ( this.length ) {
+				data = dataUser.get( elem );
+
+				if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) {
+					i = attrs.length;
+					while ( i-- ) {
+
+						// Support: IE 11 only
+						// The attrs elements can be null (#14894)
+						if ( attrs[ i ] ) {
+							name = attrs[ i ].name;
+							if ( name.indexOf( "data-" ) === 0 ) {
+								name = camelCase( name.slice( 5 ) );
+								dataAttr( elem, name, data[ name ] );
+							}
+						}
+					}
+					dataPriv.set( elem, "hasDataAttrs", true );
+				}
+			}
+
+			return data;
+		}
+
+		// Sets multiple values
+		if ( typeof key === "object" ) {
+			return this.each( function() {
+				dataUser.set( this, key );
+			} );
+		}
+
+		return access( this, function( value ) {
+			var data;
+
+			// The calling jQuery object (element matches) is not empty
+			// (and therefore has an element appears at this[ 0 ]) and the
+			// `value` parameter was not undefined. An empty jQuery object
+			// will result in `undefined` for elem = this[ 0 ] which will
+			// throw an exception if an attempt to read a data cache is made.
+			if ( elem && value === undefined ) {
+
+				// Attempt to get data from the cache
+				// The key will always be camelCased in Data
+				data = dataUser.get( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// Attempt to "discover" the data in
+				// HTML5 custom data-* attrs
+				data = dataAttr( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// We tried really hard, but the data doesn't exist.
+				return;
+			}
+
+			// Set the data...
+			this.each( function() {
+
+				// We always store the camelCased key
+				dataUser.set( this, key, value );
+			} );
+		}, null, value, arguments.length > 1, null, true );
+	},
+
+	removeData: function( key ) {
+		return this.each( function() {
+			dataUser.remove( this, key );
+		} );
+	}
+} );
+
+
+jQuery.extend( {
+	queue: function( elem, type, data ) {
+		var queue;
+
+		if ( elem ) {
+			type = ( type || "fx" ) + "queue";
+			queue = dataPriv.get( elem, type );
+
+			// Speed up dequeue by getting out quickly if this is just a lookup
+			if ( data ) {
+				if ( !queue || Array.isArray( data ) ) {
+					queue = dataPriv.access( elem, type, jQuery.makeArray( data ) );
+				} else {
+					queue.push( data );
+				}
+			}
+			return queue || [];
+		}
+	},
+
+	dequeue: function( elem, type ) {
+		type = type || "fx";
+
+		var queue = jQuery.queue( elem, type ),
+			startLength = queue.length,
+			fn = queue.shift(),
+			hooks = jQuery._queueHooks( elem, type ),
+			next = function() {
+				jQuery.dequeue( elem, type );
+			};
+
+		// If the fx queue is dequeued, always remove the progress sentinel
+		if ( fn === "inprogress" ) {
+			fn = queue.shift();
+			startLength--;
+		}
+
+		if ( fn ) {
+
+			// Add a progress sentinel to prevent the fx queue from being
+			// automatically dequeued
+			if ( type === "fx" ) {
+				queue.unshift( "inprogress" );
+			}
+
+			// Clear up the last queue stop function
+			delete hooks.stop;
+			fn.call( elem, next, hooks );
+		}
+
+		if ( !startLength && hooks ) {
+			hooks.empty.fire();
+		}
+	},
+
+	// Not public - generate a queueHooks object, or return the current one
+	_queueHooks: function( elem, type ) {
+		var key = type + "queueHooks";
+		return dataPriv.get( elem, key ) || dataPriv.access( elem, key, {
+			empty: jQuery.Callbacks( "once memory" ).add( function() {
+				dataPriv.remove( elem, [ type + "queue", key ] );
+			} )
+		} );
+	}
+} );
+
+jQuery.fn.extend( {
+	queue: function( type, data ) {
+		var setter = 2;
+
+		if ( typeof type !== "string" ) {
+			data = type;
+			type = "fx";
+			setter--;
+		}
+
+		if ( arguments.length < setter ) {
+			return jQuery.queue( this[ 0 ], type );
+		}
+
+		return data === undefined ?
+			this :
+			this.each( function() {
+				var queue = jQuery.queue( this, type, data );
+
+				// Ensure a hooks for this queue
+				jQuery._queueHooks( this, type );
+
+				if ( type === "fx" && queue[ 0 ] !== "inprogress" ) {
+					jQuery.dequeue( this, type );
+				}
+			} );
+	},
+	dequeue: function( type ) {
+		return this.each( function() {
+			jQuery.dequeue( this, type );
+		} );
+	},
+	clearQueue: function( type ) {
+		return this.queue( type || "fx", [] );
+	},
+
+	// Get a promise resolved when queues of a certain type
+	// are emptied (fx is the type by default)
+	promise: function( type, obj ) {
+		var tmp,
+			count = 1,
+			defer = jQuery.Deferred(),
+			elements = this,
+			i = this.length,
+			resolve = function() {
+				if ( !( --count ) ) {
+					defer.resolveWith( elements, [ elements ] );
+				}
+			};
+
+		if ( typeof type !== "string" ) {
+			obj = type;
+			type = undefined;
+		}
+		type = type || "fx";
+
+		while ( i-- ) {
+			tmp = dataPriv.get( elements[ i ], type + "queueHooks" );
+			if ( tmp && tmp.empty ) {
+				count++;
+				tmp.empty.add( resolve );
+			}
+		}
+		resolve();
+		return defer.promise( obj );
+	}
+} );
+var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source;
+
+var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" );
+
+
+var cssExpand = [ "Top", "Right", "Bottom", "Left" ];
+
+var documentElement = document.documentElement;
+
+
+
+	var isAttached = function( elem ) {
+			return jQuery.contains( elem.ownerDocument, elem );
+		},
+		composed = { composed: true };
+
+	// Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only
+	// Check attachment across shadow DOM boundaries when possible (gh-3504)
+	// Support: iOS 10.0-10.2 only
+	// Early iOS 10 versions support `attachShadow` but not `getRootNode`,
+	// leading to errors. We need to check for `getRootNode`.
+	if ( documentElement.getRootNode ) {
+		isAttached = function( elem ) {
+			return jQuery.contains( elem.ownerDocument, elem ) ||
+				elem.getRootNode( composed ) === elem.ownerDocument;
+		};
+	}
+var isHiddenWithinTree = function( elem, el ) {
+
+		// isHiddenWithinTree might be called from jQuery#filter function;
+		// in that case, element will be second argument
+		elem = el || elem;
+
+		// Inline style trumps all
+		return elem.style.display === "none" ||
+			elem.style.display === "" &&
+
+			// Otherwise, check computed style
+			// Support: Firefox <=43 - 45
+			// Disconnected elements can have computed display: none, so first confirm that elem is
+			// in the document.
+			isAttached( elem ) &&
+
+			jQuery.css( elem, "display" ) === "none";
+	};
+
+
+
+function adjustCSS( elem, prop, valueParts, tween ) {
+	var adjusted, scale,
+		maxIterations = 20,
+		currentValue = tween ?
+			function() {
+				return tween.cur();
+			} :
+			function() {
+				return jQuery.css( elem, prop, "" );
+			},
+		initial = currentValue(),
+		unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ),
+
+		// Starting value computation is required for potential unit mismatches
+		initialInUnit = elem.nodeType &&
+			( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) &&
+			rcssNum.exec( jQuery.css( elem, prop ) );
+
+	if ( initialInUnit && initialInUnit[ 3 ] !== unit ) {
+
+		// Support: Firefox <=54
+		// Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144)
+		initial = initial / 2;
+
+		// Trust units reported by jQuery.css
+		unit = unit || initialInUnit[ 3 ];
+
+		// Iteratively approximate from a nonzero starting point
+		initialInUnit = +initial || 1;
+
+		while ( maxIterations-- ) {
+
+			// Evaluate and update our best guess (doubling guesses that zero out).
+			// Finish if the scale equals or crosses 1 (making the old*new product non-positive).
+			jQuery.style( elem, prop, initialInUnit + unit );
+			if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) {
+				maxIterations = 0;
+			}
+			initialInUnit = initialInUnit / scale;
+
+		}
+
+		initialInUnit = initialInUnit * 2;
+		jQuery.style( elem, prop, initialInUnit + unit );
+
+		// Make sure we update the tween properties later on
+		valueParts = valueParts || [];
+	}
+
+	if ( valueParts ) {
+		initialInUnit = +initialInUnit || +initial || 0;
+
+		// Apply relative offset (+=/-=) if specified
+		adjusted = valueParts[ 1 ] ?
+			initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] :
+			+valueParts[ 2 ];
+		if ( tween ) {
+			tween.unit = unit;
+			tween.start = initialInUnit;
+			tween.end = adjusted;
+		}
+	}
+	return adjusted;
+}
+
+
+var defaultDisplayMap = {};
+
+function getDefaultDisplay( elem ) {
+	var temp,
+		doc = elem.ownerDocument,
+		nodeName = elem.nodeName,
+		display = defaultDisplayMap[ nodeName ];
+
+	if ( display ) {
+		return display;
+	}
+
+	temp = doc.body.appendChild( doc.createElement( nodeName ) );
+	display = jQuery.css( temp, "display" );
+
+	temp.parentNode.removeChild( temp );
+
+	if ( display === "none" ) {
+		display = "block";
+	}
+	defaultDisplayMap[ nodeName ] = display;
+
+	return display;
+}
+
+function showHide( elements, show ) {
+	var display, elem,
+		values = [],
+		index = 0,
+		length = elements.length;
+
+	// Determine new display value for elements that need to change
+	for ( ; index < length; index++ ) {
+		elem = elements[ index ];
+		if ( !elem.style ) {
+			continue;
+		}
+
+		display = elem.style.display;
+		if ( show ) {
+
+			// Since we force visibility upon cascade-hidden elements, an immediate (and slow)
+			// check is required in this first loop unless we have a nonempty display value (either
+			// inline or about-to-be-restored)
+			if ( display === "none" ) {
+				values[ index ] = dataPriv.get( elem, "display" ) || null;
+				if ( !values[ index ] ) {
+					elem.style.display = "";
+				}
+			}
+			if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) {
+				values[ index ] = getDefaultDisplay( elem );
+			}
+		} else {
+			if ( display !== "none" ) {
+				values[ index ] = "none";
+
+				// Remember what we're overwriting
+				dataPriv.set( elem, "display", display );
+			}
+		}
+	}
+
+	// Set the display of the elements in a second loop to avoid constant reflow
+	for ( index = 0; index < length; index++ ) {
+		if ( values[ index ] != null ) {
+			elements[ index ].style.display = values[ index ];
+		}
+	}
+
+	return elements;
+}
+
+jQuery.fn.extend( {
+	show: function() {
+		return showHide( this, true );
+	},
+	hide: function() {
+		return showHide( this );
+	},
+	toggle: function( state ) {
+		if ( typeof state === "boolean" ) {
+			return state ? this.show() : this.hide();
+		}
+
+		return this.each( function() {
+			if ( isHiddenWithinTree( this ) ) {
+				jQuery( this ).show();
+			} else {
+				jQuery( this ).hide();
+			}
+		} );
+	}
+} );
+var rcheckableType = ( /^(?:checkbox|radio)$/i );
+
+var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i );
+
+var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i );
+
+
+
+( function() {
+	var fragment = document.createDocumentFragment(),
+		div = fragment.appendChild( document.createElement( "div" ) ),
+		input = document.createElement( "input" );
+
+	// Support: Android 4.0 - 4.3 only
+	// Check state lost if the name is set (#11217)
+	// Support: Windows Web Apps (WWA)
+	// `name` and `type` must use .setAttribute for WWA (#14901)
+	input.setAttribute( "type", "radio" );
+	input.setAttribute( "checked", "checked" );
+	input.setAttribute( "name", "t" );
+
+	div.appendChild( input );
+
+	// Support: Android <=4.1 only
+	// Older WebKit doesn't clone checked state correctly in fragments
+	support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked;
+
+	// Support: IE <=11 only
+	// Make sure textarea (and checkbox) defaultValue is properly cloned
+	div.innerHTML = "<textarea>x</textarea>";
+	support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue;
+
+	// Support: IE <=9 only
+	// IE <=9 replaces <option> tags with their contents when inserted outside of
+	// the select element.
+	div.innerHTML = "<option></option>";
+	support.option = !!div.lastChild;
+} )();
+
+
+// We have to close these tags to support XHTML (#13200)
+var wrapMap = {
+
+	// XHTML parsers do not magically insert elements in the
+	// same way that tag soup parsers do. So we cannot shorten
+	// this by omitting <tbody> or other required elements.
+	thead: [ 1, "<table>", "</table>" ],
+	col: [ 2, "<table><colgroup>", "</colgroup></table>" ],
+	tr: [ 2, "<table><tbody>", "</tbody></table>" ],
+	td: [ 3, "<table><tbody><tr>", "</tr></tbody></table>" ],
+
+	_default: [ 0, "", "" ]
+};
+
+wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead;
+wrapMap.th = wrapMap.td;
+
+// Support: IE <=9 only
+if ( !support.option ) {
+	wrapMap.optgroup = wrapMap.option = [ 1, "<select multiple='multiple'>", "</select>" ];
+}
+
+
+function getAll( context, tag ) {
+
+	// Support: IE <=9 - 11 only
+	// Use typeof to avoid zero-argument method invocation on host objects (#15151)
+	var ret;
+
+	if ( typeof context.getElementsByTagName !== "undefined" ) {
+		ret = context.getElementsByTagName( tag || "*" );
+
+	} else if ( typeof context.querySelectorAll !== "undefined" ) {
+		ret = context.querySelectorAll( tag || "*" );
+
+	} else {
+		ret = [];
+	}
+
+	if ( tag === undefined || tag && nodeName( context, tag ) ) {
+		return jQuery.merge( [ context ], ret );
+	}
+
+	return ret;
+}
+
+
+// Mark scripts as having already been evaluated
+function setGlobalEval( elems, refElements ) {
+	var i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		dataPriv.set(
+			elems[ i ],
+			"globalEval",
+			!refElements || dataPriv.get( refElements[ i ], "globalEval" )
+		);
+	}
+}
+
+
+var rhtml = /<|&#?\w+;/;
+
+function buildFragment( elems, context, scripts, selection, ignored ) {
+	var elem, tmp, tag, wrap, attached, j,
+		fragment = context.createDocumentFragment(),
+		nodes = [],
+		i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		elem = elems[ i ];
+
+		if ( elem || elem === 0 ) {
+
+			// Add nodes directly
+			if ( toType( elem ) === "object" ) {
+
+				// Support: Android <=4.0 only, PhantomJS 1 only
+				// push.apply(_, arraylike) throws on ancient WebKit
+				jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem );
+
+			// Convert non-html into a text node
+			} else if ( !rhtml.test( elem ) ) {
+				nodes.push( context.createTextNode( elem ) );
+
+			// Convert html into DOM nodes
+			} else {
+				tmp = tmp || fragment.appendChild( context.createElement( "div" ) );
+
+				// Deserialize a standard representation
+				tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase();
+				wrap = wrapMap[ tag ] || wrapMap._default;
+				tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ];
+
+				// Descend through wrappers to the right content
+				j = wrap[ 0 ];
+				while ( j-- ) {
+					tmp = tmp.lastChild;
+				}
+
+				// Support: Android <=4.0 only, PhantomJS 1 only
+				// push.apply(_, arraylike) throws on ancient WebKit
+				jQuery.merge( nodes, tmp.childNodes );
+
+				// Remember the top-level container
+				tmp = fragment.firstChild;
+
+				// Ensure the created nodes are orphaned (#12392)
+				tmp.textContent = "";
+			}
+		}
+	}
+
+	// Remove wrapper from fragment
+	fragment.textContent = "";
+
+	i = 0;
+	while ( ( elem = nodes[ i++ ] ) ) {
+
+		// Skip elements already in the context collection (trac-4087)
+		if ( selection && jQuery.inArray( elem, selection ) > -1 ) {
+			if ( ignored ) {
+				ignored.push( elem );
+			}
+			continue;
+		}
+
+		attached = isAttached( elem );
+
+		// Append to fragment
+		tmp = getAll( fragment.appendChild( elem ), "script" );
+
+		// Preserve script evaluation history
+		if ( attached ) {
+			setGlobalEval( tmp );
+		}
+
+		// Capture executables
+		if ( scripts ) {
+			j = 0;
+			while ( ( elem = tmp[ j++ ] ) ) {
+				if ( rscriptType.test( elem.type || "" ) ) {
+					scripts.push( elem );
+				}
+			}
+		}
+	}
+
+	return fragment;
+}
+
+
+var rtypenamespace = /^([^.]*)(?:\.(.+)|)/;
+
+function returnTrue() {
+	return true;
+}
+
+function returnFalse() {
+	return false;
+}
+
+// Support: IE <=9 - 11+
+// focus() and blur() are asynchronous, except when they are no-op.
+// So expect focus to be synchronous when the element is already active,
+// and blur to be synchronous when the element is not already active.
+// (focus and blur are always synchronous in other supported browsers,
+// this just defines when we can count on it).
+function expectSync( elem, type ) {
+	return ( elem === safeActiveElement() ) === ( type === "focus" );
+}
+
+// Support: IE <=9 only
+// Accessing document.activeElement can throw unexpectedly
+// https://bugs.jquery.com/ticket/13393
+function safeActiveElement() {
+	try {
+		return document.activeElement;
+	} catch ( err ) { }
+}
+
+function on( elem, types, selector, data, fn, one ) {
+	var origFn, type;
+
+	// Types can be a map of types/handlers
+	if ( typeof types === "object" ) {
+
+		// ( types-Object, selector, data )
+		if ( typeof selector !== "string" ) {
+
+			// ( types-Object, data )
+			data = data || selector;
+			selector = undefined;
+		}
+		for ( type in types ) {
+			on( elem, type, selector, data, types[ type ], one );
+		}
+		return elem;
+	}
+
+	if ( data == null && fn == null ) {
+
+		// ( types, fn )
+		fn = selector;
+		data = selector = undefined;
+	} else if ( fn == null ) {
+		if ( typeof selector === "string" ) {
+
+			// ( types, selector, fn )
+			fn = data;
+			data = undefined;
+		} else {
+
+			// ( types, data, fn )
+			fn = data;
+			data = selector;
+			selector = undefined;
+		}
+	}
+	if ( fn === false ) {
+		fn = returnFalse;
+	} else if ( !fn ) {
+		return elem;
+	}
+
+	if ( one === 1 ) {
+		origFn = fn;
+		fn = function( event ) {
+
+			// Can use an empty set, since event contains the info
+			jQuery().off( event );
+			return origFn.apply( this, arguments );
+		};
+
+		// Use same guid so caller can remove using origFn
+		fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ );
+	}
+	return elem.each( function() {
+		jQuery.event.add( this, types, fn, data, selector );
+	} );
+}
+
+/*
+ * Helper functions for managing events -- not part of the public interface.
+ * Props to Dean Edwards' addEvent library for many of the ideas.
+ */
+jQuery.event = {
+
+	global: {},
+
+	add: function( elem, types, handler, data, selector ) {
+
+		var handleObjIn, eventHandle, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = dataPriv.get( elem );
+
+		// Only attach events to objects that accept data
+		if ( !acceptData( elem ) ) {
+			return;
+		}
+
+		// Caller can pass in an object of custom data in lieu of the handler
+		if ( handler.handler ) {
+			handleObjIn = handler;
+			handler = handleObjIn.handler;
+			selector = handleObjIn.selector;
+		}
+
+		// Ensure that invalid selectors throw exceptions at attach time
+		// Evaluate against documentElement in case elem is a non-element node (e.g., document)
+		if ( selector ) {
+			jQuery.find.matchesSelector( documentElement, selector );
+		}
+
+		// Make sure that the handler has a unique ID, used to find/remove it later
+		if ( !handler.guid ) {
+			handler.guid = jQuery.guid++;
+		}
+
+		// Init the element's event structure and main handler, if this is the first
+		if ( !( events = elemData.events ) ) {
+			events = elemData.events = Object.create( null );
+		}
+		if ( !( eventHandle = elemData.handle ) ) {
+			eventHandle = elemData.handle = function( e ) {
+
+				// Discard the second event of a jQuery.event.trigger() and
+				// when an event is called after a page has unloaded
+				return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ?
+					jQuery.event.dispatch.apply( elem, arguments ) : undefined;
+			};
+		}
+
+		// Handle multiple events separated by a space
+		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[ t ] ) || [];
+			type = origType = tmp[ 1 ];
+			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+			// There *must* be a type, no attaching namespace-only handlers
+			if ( !type ) {
+				continue;
+			}
+
+			// If event changes its type, use the special event handlers for the changed type
+			special = jQuery.event.special[ type ] || {};
+
+			// If selector defined, determine special event api type, otherwise given type
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+
+			// Update special based on newly reset type
+			special = jQuery.event.special[ type ] || {};
+
+			// handleObj is passed to all event handlers
+			handleObj = jQuery.extend( {
+				type: type,
+				origType: origType,
+				data: data,
+				handler: handler,
+				guid: handler.guid,
+				selector: selector,
+				needsContext: selector && jQuery.expr.match.needsContext.test( selector ),
+				namespace: namespaces.join( "." )
+			}, handleObjIn );
+
+			// Init the event handler queue if we're the first
+			if ( !( handlers = events[ type ] ) ) {
+				handlers = events[ type ] = [];
+				handlers.delegateCount = 0;
+
+				// Only use addEventListener if the special events handler returns false
+				if ( !special.setup ||
+					special.setup.call( elem, data, namespaces, eventHandle ) === false ) {
+
+					if ( elem.addEventListener ) {
+						elem.addEventListener( type, eventHandle );
+					}
+				}
+			}
+
+			if ( special.add ) {
+				special.add.call( elem, handleObj );
+
+				if ( !handleObj.handler.guid ) {
+					handleObj.handler.guid = handler.guid;
+				}
+			}
+
+			// Add to the element's handler list, delegates in front
+			if ( selector ) {
+				handlers.splice( handlers.delegateCount++, 0, handleObj );
+			} else {
+				handlers.push( handleObj );
+			}
+
+			// Keep track of which events have ever been used, for event optimization
+			jQuery.event.global[ type ] = true;
+		}
+
+	},
+
+	// Detach an event or set of events from an element
+	remove: function( elem, types, handler, selector, mappedTypes ) {
+
+		var j, origCount, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = dataPriv.hasData( elem ) && dataPriv.get( elem );
+
+		if ( !elemData || !( events = elemData.events ) ) {
+			return;
+		}
+
+		// Once for each type.namespace in types; type may be omitted
+		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[ t ] ) || [];
+			type = origType = tmp[ 1 ];
+			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+			// Unbind all events (on this namespace, if provided) for the element
+			if ( !type ) {
+				for ( type in events ) {
+					jQuery.event.remove( elem, type + types[ t ], handler, selector, true );
+				}
+				continue;
+			}
+
+			special = jQuery.event.special[ type ] || {};
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+			handlers = events[ type ] || [];
+			tmp = tmp[ 2 ] &&
+				new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" );
+
+			// Remove matching events
+			origCount = j = handlers.length;
+			while ( j-- ) {
+				handleObj = handlers[ j ];
+
+				if ( ( mappedTypes || origType === handleObj.origType ) &&
+					( !handler || handler.guid === handleObj.guid ) &&
+					( !tmp || tmp.test( handleObj.namespace ) ) &&
+					( !selector || selector === handleObj.selector ||
+						selector === "**" && handleObj.selector ) ) {
+					handlers.splice( j, 1 );
+
+					if ( handleObj.selector ) {
+						handlers.delegateCount--;
+					}
+					if ( special.remove ) {
+						special.remove.call( elem, handleObj );
+					}
+				}
+			}
+
+			// Remove generic event handler if we removed something and no more handlers exist
+			// (avoids potential for endless recursion during removal of special event handlers)
+			if ( origCount && !handlers.length ) {
+				if ( !special.teardown ||
+					special.teardown.call( elem, namespaces, elemData.handle ) === false ) {
+
+					jQuery.removeEvent( elem, type, elemData.handle );
+				}
+
+				delete events[ type ];
+			}
+		}
+
+		// Remove data and the expando if it's no longer used
+		if ( jQuery.isEmptyObject( events ) ) {
+			dataPriv.remove( elem, "handle events" );
+		}
+	},
+
+	dispatch: function( nativeEvent ) {
+
+		var i, j, ret, matched, handleObj, handlerQueue,
+			args = new Array( arguments.length ),
+
+			// Make a writable jQuery.Event from the native event object
+			event = jQuery.event.fix( nativeEvent ),
+
+			handlers = (
+				dataPriv.get( this, "events" ) || Object.create( null )
+			)[ event.type ] || [],
+			special = jQuery.event.special[ event.type ] || {};
+
+		// Use the fix-ed jQuery.Event rather than the (read-only) native event
+		args[ 0 ] = event;
+
+		for ( i = 1; i < arguments.length; i++ ) {
+			args[ i ] = arguments[ i ];
+		}
+
+		event.delegateTarget = this;
+
+		// Call the preDispatch hook for the mapped type, and let it bail if desired
+		if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) {
+			return;
+		}
+
+		// Determine handlers
+		handlerQueue = jQuery.event.handlers.call( this, event, handlers );
+
+		// Run delegates first; they may want to stop propagation beneath us
+		i = 0;
+		while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) {
+			event.currentTarget = matched.elem;
+
+			j = 0;
+			while ( ( handleObj = matched.handlers[ j++ ] ) &&
+				!event.isImmediatePropagationStopped() ) {
+
+				// If the event is namespaced, then each handler is only invoked if it is
+				// specially universal or its namespaces are a superset of the event's.
+				if ( !event.rnamespace || handleObj.namespace === false ||
+					event.rnamespace.test( handleObj.namespace ) ) {
+
+					event.handleObj = handleObj;
+					event.data = handleObj.data;
+
+					ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle ||
+						handleObj.handler ).apply( matched.elem, args );
+
+					if ( ret !== undefined ) {
+						if ( ( event.result = ret ) === false ) {
+							event.preventDefault();
+							event.stopPropagation();
+						}
+					}
+				}
+			}
+		}
+
+		// Call the postDispatch hook for the mapped type
+		if ( special.postDispatch ) {
+			special.postDispatch.call( this, event );
+		}
+
+		return event.result;
+	},
+
+	handlers: function( event, handlers ) {
+		var i, handleObj, sel, matchedHandlers, matchedSelectors,
+			handlerQueue = [],
+			delegateCount = handlers.delegateCount,
+			cur = event.target;
+
+		// Find delegate handlers
+		if ( delegateCount &&
+
+			// Support: IE <=9
+			// Black-hole SVG <use> instance trees (trac-13180)
+			cur.nodeType &&
+
+			// Support: Firefox <=42
+			// Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861)
+			// https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click
+			// Support: IE 11 only
+			// ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343)
+			!( event.type === "click" && event.button >= 1 ) ) {
+
+			for ( ; cur !== this; cur = cur.parentNode || this ) {
+
+				// Don't check non-elements (#13208)
+				// Don't process clicks on disabled elements (#6911, #8165, #11382, #11764)
+				if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) {
+					matchedHandlers = [];
+					matchedSelectors = {};
+					for ( i = 0; i < delegateCount; i++ ) {
+						handleObj = handlers[ i ];
+
+						// Don't conflict with Object.prototype properties (#13203)
+						sel = handleObj.selector + " ";
+
+						if ( matchedSelectors[ sel ] === undefined ) {
+							matchedSelectors[ sel ] = handleObj.needsContext ?
+								jQuery( sel, this ).index( cur ) > -1 :
+								jQuery.find( sel, this, null, [ cur ] ).length;
+						}
+						if ( matchedSelectors[ sel ] ) {
+							matchedHandlers.push( handleObj );
+						}
+					}
+					if ( matchedHandlers.length ) {
+						handlerQueue.push( { elem: cur, handlers: matchedHandlers } );
+					}
+				}
+			}
+		}
+
+		// Add the remaining (directly-bound) handlers
+		cur = this;
+		if ( delegateCount < handlers.length ) {
+			handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } );
+		}
+
+		return handlerQueue;
+	},
+
+	addProp: function( name, hook ) {
+		Object.defineProperty( jQuery.Event.prototype, name, {
+			enumerable: true,
+			configurable: true,
+
+			get: isFunction( hook ) ?
+				function() {
+					if ( this.originalEvent ) {
+						return hook( this.originalEvent );
+					}
+				} :
+				function() {
+					if ( this.originalEvent ) {
+						return this.originalEvent[ name ];
+					}
+				},
+
+			set: function( value ) {
+				Object.defineProperty( this, name, {
+					enumerable: true,
+					configurable: true,
+					writable: true,
+					value: value
+				} );
+			}
+		} );
+	},
+
+	fix: function( originalEvent ) {
+		return originalEvent[ jQuery.expando ] ?
+			originalEvent :
+			new jQuery.Event( originalEvent );
+	},
+
+	special: {
+		load: {
+
+			// Prevent triggered image.load events from bubbling to window.load
+			noBubble: true
+		},
+		click: {
+
+			// Utilize native event to ensure correct state for checkable inputs
+			setup: function( data ) {
+
+				// For mutual compressibility with _default, replace `this` access with a local var.
+				// `|| data` is dead code meant only to preserve the variable through minification.
+				var el = this || data;
+
+				// Claim the first handler
+				if ( rcheckableType.test( el.type ) &&
+					el.click && nodeName( el, "input" ) ) {
+
+					// dataPriv.set( el, "click", ... )
+					leverageNative( el, "click", returnTrue );
+				}
+
+				// Return false to allow normal processing in the caller
+				return false;
+			},
+			trigger: function( data ) {
+
+				// For mutual compressibility with _default, replace `this` access with a local var.
+				// `|| data` is dead code meant only to preserve the variable through minification.
+				var el = this || data;
+
+				// Force setup before triggering a click
+				if ( rcheckableType.test( el.type ) &&
+					el.click && nodeName( el, "input" ) ) {
+
+					leverageNative( el, "click" );
+				}
+
+				// Return non-false to allow normal event-path propagation
+				return true;
+			},
+
+			// For cross-browser consistency, suppress native .click() on links
+			// Also prevent it if we're currently inside a leveraged native-event stack
+			_default: function( event ) {
+				var target = event.target;
+				return rcheckableType.test( target.type ) &&
+					target.click && nodeName( target, "input" ) &&
+					dataPriv.get( target, "click" ) ||
+					nodeName( target, "a" );
+			}
+		},
+
+		beforeunload: {
+			postDispatch: function( event ) {
+
+				// Support: Firefox 20+
+				// Firefox doesn't alert if the returnValue field is not set.
+				if ( event.result !== undefined && event.originalEvent ) {
+					event.originalEvent.returnValue = event.result;
+				}
+			}
+		}
+	}
+};
+
+// Ensure the presence of an event listener that handles manually-triggered
+// synthetic events by interrupting progress until reinvoked in response to
+// *native* events that it fires directly, ensuring that state changes have
+// already occurred before other listeners are invoked.
+function leverageNative( el, type, expectSync ) {
+
+	// Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add
+	if ( !expectSync ) {
+		if ( dataPriv.get( el, type ) === undefined ) {
+			jQuery.event.add( el, type, returnTrue );
+		}
+		return;
+	}
+
+	// Register the controller as a special universal handler for all event namespaces
+	dataPriv.set( el, type, false );
+	jQuery.event.add( el, type, {
+		namespace: false,
+		handler: function( event ) {
+			var notAsync, result,
+				saved = dataPriv.get( this, type );
+
+			if ( ( event.isTrigger & 1 ) && this[ type ] ) {
+
+				// Interrupt processing of the outer synthetic .trigger()ed event
+				// Saved data should be false in such cases, but might be a leftover capture object
+				// from an async native handler (gh-4350)
+				if ( !saved.length ) {
+
+					// Store arguments for use when handling the inner native event
+					// There will always be at least one argument (an event object), so this array
+					// will not be confused with a leftover capture object.
+					saved = slice.call( arguments );
+					dataPriv.set( this, type, saved );
+
+					// Trigger the native event and capture its result
+					// Support: IE <=9 - 11+
+					// focus() and blur() are asynchronous
+					notAsync = expectSync( this, type );
+					this[ type ]();
+					result = dataPriv.get( this, type );
+					if ( saved !== result || notAsync ) {
+						dataPriv.set( this, type, false );
+					} else {
+						result = {};
+					}
+					if ( saved !== result ) {
+
+						// Cancel the outer synthetic event
+						event.stopImmediatePropagation();
+						event.preventDefault();
+
+						// Support: Chrome 86+
+						// In Chrome, if an element having a focusout handler is blurred by
+						// clicking outside of it, it invokes the handler synchronously. If
+						// that handler calls `.remove()` on the element, the data is cleared,
+						// leaving `result` undefined. We need to guard against this.
+						return result && result.value;
+					}
+
+				// If this is an inner synthetic event for an event with a bubbling surrogate
+				// (focus or blur), assume that the surrogate already propagated from triggering the
+				// native event and prevent that from happening again here.
+				// This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the
+				// bubbling surrogate propagates *after* the non-bubbling base), but that seems
+				// less bad than duplication.
+				} else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) {
+					event.stopPropagation();
+				}
+
+			// If this is a native event triggered above, everything is now in order
+			// Fire an inner synthetic event with the original arguments
+			} else if ( saved.length ) {
+
+				// ...and capture the result
+				dataPriv.set( this, type, {
+					value: jQuery.event.trigger(
+
+						// Support: IE <=9 - 11+
+						// Extend with the prototype to reset the above stopImmediatePropagation()
+						jQuery.extend( saved[ 0 ], jQuery.Event.prototype ),
+						saved.slice( 1 ),
+						this
+					)
+				} );
+
+				// Abort handling of the native event
+				event.stopImmediatePropagation();
+			}
+		}
+	} );
+}
+
+jQuery.removeEvent = function( elem, type, handle ) {
+
+	// This "if" is needed for plain objects
+	if ( elem.removeEventListener ) {
+		elem.removeEventListener( type, handle );
+	}
+};
+
+jQuery.Event = function( src, props ) {
+
+	// Allow instantiation without the 'new' keyword
+	if ( !( this instanceof jQuery.Event ) ) {
+		return new jQuery.Event( src, props );
+	}
+
+	// Event object
+	if ( src && src.type ) {
+		this.originalEvent = src;
+		this.type = src.type;
+
+		// Events bubbling up the document may have been marked as prevented
+		// by a handler lower down the tree; reflect the correct value.
+		this.isDefaultPrevented = src.defaultPrevented ||
+				src.defaultPrevented === undefined &&
+
+				// Support: Android <=2.3 only
+				src.returnValue === false ?
+			returnTrue :
+			returnFalse;
+
+		// Create target properties
+		// Support: Safari <=6 - 7 only
+		// Target should not be a text node (#504, #13143)
+		this.target = ( src.target && src.target.nodeType === 3 ) ?
+			src.target.parentNode :
+			src.target;
+
+		this.currentTarget = src.currentTarget;
+		this.relatedTarget = src.relatedTarget;
+
+	// Event type
+	} else {
+		this.type = src;
+	}
+
+	// Put explicitly provided properties onto the event object
+	if ( props ) {
+		jQuery.extend( this, props );
+	}
+
+	// Create a timestamp if incoming event doesn't have one
+	this.timeStamp = src && src.timeStamp || Date.now();
+
+	// Mark it as fixed
+	this[ jQuery.expando ] = true;
+};
+
+// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding
+// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html
+jQuery.Event.prototype = {
+	constructor: jQuery.Event,
+	isDefaultPrevented: returnFalse,
+	isPropagationStopped: returnFalse,
+	isImmediatePropagationStopped: returnFalse,
+	isSimulated: false,
+
+	preventDefault: function() {
+		var e = this.originalEvent;
+
+		this.isDefaultPrevented = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.preventDefault();
+		}
+	},
+	stopPropagation: function() {
+		var e = this.originalEvent;
+
+		this.isPropagationStopped = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.stopPropagation();
+		}
+	},
+	stopImmediatePropagation: function() {
+		var e = this.originalEvent;
+
+		this.isImmediatePropagationStopped = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.stopImmediatePropagation();
+		}
+
+		this.stopPropagation();
+	}
+};
+
+// Includes all common event props including KeyEvent and MouseEvent specific props
+jQuery.each( {
+	altKey: true,
+	bubbles: true,
+	cancelable: true,
+	changedTouches: true,
+	ctrlKey: true,
+	detail: true,
+	eventPhase: true,
+	metaKey: true,
+	pageX: true,
+	pageY: true,
+	shiftKey: true,
+	view: true,
+	"char": true,
+	code: true,
+	charCode: true,
+	key: true,
+	keyCode: true,
+	button: true,
+	buttons: true,
+	clientX: true,
+	clientY: true,
+	offsetX: true,
+	offsetY: true,
+	pointerId: true,
+	pointerType: true,
+	screenX: true,
+	screenY: true,
+	targetTouches: true,
+	toElement: true,
+	touches: true,
+	which: true
+}, jQuery.event.addProp );
+
+jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) {
+	jQuery.event.special[ type ] = {
+
+		// Utilize native event if possible so blur/focus sequence is correct
+		setup: function() {
+
+			// Claim the first handler
+			// dataPriv.set( this, "focus", ... )
+			// dataPriv.set( this, "blur", ... )
+			leverageNative( this, type, expectSync );
+
+			// Return false to allow normal processing in the caller
+			return false;
+		},
+		trigger: function() {
+
+			// Force setup before trigger
+			leverageNative( this, type );
+
+			// Return non-false to allow normal event-path propagation
+			return true;
+		},
+
+		// Suppress native focus or blur as it's already being fired
+		// in leverageNative.
+		_default: function() {
+			return true;
+		},
+
+		delegateType: delegateType
+	};
+} );
+
+// Create mouseenter/leave events using mouseover/out and event-time checks
+// so that event delegation works in jQuery.
+// Do the same for pointerenter/pointerleave and pointerover/pointerout
+//
+// Support: Safari 7 only
+// Safari sends mouseenter too often; see:
+// https://bugs.chromium.org/p/chromium/issues/detail?id=470258
+// for the description of the bug (it existed in older Chrome versions as well).
+jQuery.each( {
+	mouseenter: "mouseover",
+	mouseleave: "mouseout",
+	pointerenter: "pointerover",
+	pointerleave: "pointerout"
+}, function( orig, fix ) {
+	jQuery.event.special[ orig ] = {
+		delegateType: fix,
+		bindType: fix,
+
+		handle: function( event ) {
+			var ret,
+				target = this,
+				related = event.relatedTarget,
+				handleObj = event.handleObj;
+
+			// For mouseenter/leave call the handler if related is outside the target.
+			// NB: No relatedTarget if the mouse left/entered the browser window
+			if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) {
+				event.type = handleObj.origType;
+				ret = handleObj.handler.apply( this, arguments );
+				event.type = fix;
+			}
+			return ret;
+		}
+	};
+} );
+
+jQuery.fn.extend( {
+
+	on: function( types, selector, data, fn ) {
+		return on( this, types, selector, data, fn );
+	},
+	one: function( types, selector, data, fn ) {
+		return on( this, types, selector, data, fn, 1 );
+	},
+	off: function( types, selector, fn ) {
+		var handleObj, type;
+		if ( types && types.preventDefault && types.handleObj ) {
+
+			// ( event )  dispatched jQuery.Event
+			handleObj = types.handleObj;
+			jQuery( types.delegateTarget ).off(
+				handleObj.namespace ?
+					handleObj.origType + "." + handleObj.namespace :
+					handleObj.origType,
+				handleObj.selector,
+				handleObj.handler
+			);
+			return this;
+		}
+		if ( typeof types === "object" ) {
+
+			// ( types-object [, selector] )
+			for ( type in types ) {
+				this.off( type, selector, types[ type ] );
+			}
+			return this;
+		}
+		if ( selector === false || typeof selector === "function" ) {
+
+			// ( types [, fn] )
+			fn = selector;
+			selector = undefined;
+		}
+		if ( fn === false ) {
+			fn = returnFalse;
+		}
+		return this.each( function() {
+			jQuery.event.remove( this, types, fn, selector );
+		} );
+	}
+} );
+
+
+var
+
+	// Support: IE <=10 - 11, Edge 12 - 13 only
+	// In IE/Edge using regex groups here causes severe slowdowns.
+	// See https://connect.microsoft.com/IE/feedback/details/1736512/
+	rnoInnerhtml = /<script|<style|<link/i,
+
+	// checked="checked" or checked
+	rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i,
+	rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;
+
+// Prefer a tbody over its parent table for containing new rows
+function manipulationTarget( elem, content ) {
+	if ( nodeName( elem, "table" ) &&
+		nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) {
+
+		return jQuery( elem ).children( "tbody" )[ 0 ] || elem;
+	}
+
+	return elem;
+}
+
+// Replace/restore the type attribute of script elements for safe DOM manipulation
+function disableScript( elem ) {
+	elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type;
+	return elem;
+}
+function restoreScript( elem ) {
+	if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) {
+		elem.type = elem.type.slice( 5 );
+	} else {
+		elem.removeAttribute( "type" );
+	}
+
+	return elem;
+}
+
+function cloneCopyEvent( src, dest ) {
+	var i, l, type, pdataOld, udataOld, udataCur, events;
+
+	if ( dest.nodeType !== 1 ) {
+		return;
+	}
+
+	// 1. Copy private data: events, handlers, etc.
+	if ( dataPriv.hasData( src ) ) {
+		pdataOld = dataPriv.get( src );
+		events = pdataOld.events;
+
+		if ( events ) {
+			dataPriv.remove( dest, "handle events" );
+
+			for ( type in events ) {
+				for ( i = 0, l = events[ type ].length; i < l; i++ ) {
+					jQuery.event.add( dest, type, events[ type ][ i ] );
+				}
+			}
+		}
+	}
+
+	// 2. Copy user data
+	if ( dataUser.hasData( src ) ) {
+		udataOld = dataUser.access( src );
+		udataCur = jQuery.extend( {}, udataOld );
+
+		dataUser.set( dest, udataCur );
+	}
+}
+
+// Fix IE bugs, see support tests
+function fixInput( src, dest ) {
+	var nodeName = dest.nodeName.toLowerCase();
+
+	// Fails to persist the checked state of a cloned checkbox or radio button.
+	if ( nodeName === "input" && rcheckableType.test( src.type ) ) {
+		dest.checked = src.checked;
+
+	// Fails to return the selected option to the default selected state when cloning options
+	} else if ( nodeName === "input" || nodeName === "textarea" ) {
+		dest.defaultValue = src.defaultValue;
+	}
+}
+
+function domManip( collection, args, callback, ignored ) {
+
+	// Flatten any nested arrays
+	args = flat( args );
+
+	var fragment, first, scripts, hasScripts, node, doc,
+		i = 0,
+		l = collection.length,
+		iNoClone = l - 1,
+		value = args[ 0 ],
+		valueIsFunction = isFunction( value );
+
+	// We can't cloneNode fragments that contain checked, in WebKit
+	if ( valueIsFunction ||
+			( l > 1 && typeof value === "string" &&
+				!support.checkClone && rchecked.test( value ) ) ) {
+		return collection.each( function( index ) {
+			var self = collection.eq( index );
+			if ( valueIsFunction ) {
+				args[ 0 ] = value.call( this, index, self.html() );
+			}
+			domManip( self, args, callback, ignored );
+		} );
+	}
+
+	if ( l ) {
+		fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored );
+		first = fragment.firstChild;
+
+		if ( fragment.childNodes.length === 1 ) {
+			fragment = first;
+		}
+
+		// Require either new content or an interest in ignored elements to invoke the callback
+		if ( first || ignored ) {
+			scripts = jQuery.map( getAll( fragment, "script" ), disableScript );
+			hasScripts = scripts.length;
+
+			// Use the original fragment for the last item
+			// instead of the first because it can end up
+			// being emptied incorrectly in certain situations (#8070).
+			for ( ; i < l; i++ ) {
+				node = fragment;
+
+				if ( i !== iNoClone ) {
+					node = jQuery.clone( node, true, true );
+
+					// Keep references to cloned scripts for later restoration
+					if ( hasScripts ) {
+
+						// Support: Android <=4.0 only, PhantomJS 1 only
+						// push.apply(_, arraylike) throws on ancient WebKit
+						jQuery.merge( scripts, getAll( node, "script" ) );
+					}
+				}
+
+				callback.call( collection[ i ], node, i );
+			}
+
+			if ( hasScripts ) {
+				doc = scripts[ scripts.length - 1 ].ownerDocument;
+
+				// Reenable scripts
+				jQuery.map( scripts, restoreScript );
+
+				// Evaluate executable scripts on first document insertion
+				for ( i = 0; i < hasScripts; i++ ) {
+					node = scripts[ i ];
+					if ( rscriptType.test( node.type || "" ) &&
+						!dataPriv.access( node, "globalEval" ) &&
+						jQuery.contains( doc, node ) ) {
+
+						if ( node.src && ( node.type || "" ).toLowerCase()  !== "module" ) {
+
+							// Optional AJAX dependency, but won't run scripts if not present
+							if ( jQuery._evalUrl && !node.noModule ) {
+								jQuery._evalUrl( node.src, {
+									nonce: node.nonce || node.getAttribute( "nonce" )
+								}, doc );
+							}
+						} else {
+							DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc );
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return collection;
+}
+
+function remove( elem, selector, keepData ) {
+	var node,
+		nodes = selector ? jQuery.filter( selector, elem ) : elem,
+		i = 0;
+
+	for ( ; ( node = nodes[ i ] ) != null; i++ ) {
+		if ( !keepData && node.nodeType === 1 ) {
+			jQuery.cleanData( getAll( node ) );
+		}
+
+		if ( node.parentNode ) {
+			if ( keepData && isAttached( node ) ) {
+				setGlobalEval( getAll( node, "script" ) );
+			}
+			node.parentNode.removeChild( node );
+		}
+	}
+
+	return elem;
+}
+
+jQuery.extend( {
+	htmlPrefilter: function( html ) {
+		return html;
+	},
+
+	clone: function( elem, dataAndEvents, deepDataAndEvents ) {
+		var i, l, srcElements, destElements,
+			clone = elem.cloneNode( true ),
+			inPage = isAttached( elem );
+
+		// Fix IE cloning issues
+		if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) &&
+				!jQuery.isXMLDoc( elem ) ) {
+
+			// We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2
+			destElements = getAll( clone );
+			srcElements = getAll( elem );
+
+			for ( i = 0, l = srcElements.length; i < l; i++ ) {
+				fixInput( srcElements[ i ], destElements[ i ] );
+			}
+		}
+
+		// Copy the events from the original to the clone
+		if ( dataAndEvents ) {
+			if ( deepDataAndEvents ) {
+				srcElements = srcElements || getAll( elem );
+				destElements = destElements || getAll( clone );
+
+				for ( i = 0, l = srcElements.length; i < l; i++ ) {
+					cloneCopyEvent( srcElements[ i ], destElements[ i ] );
+				}
+			} else {
+				cloneCopyEvent( elem, clone );
+			}
+		}
+
+		// Preserve script evaluation history
+		destElements = getAll( clone, "script" );
+		if ( destElements.length > 0 ) {
+			setGlobalEval( destElements, !inPage && getAll( elem, "script" ) );
+		}
+
+		// Return the cloned set
+		return clone;
+	},
+
+	cleanData: function( elems ) {
+		var data, elem, type,
+			special = jQuery.event.special,
+			i = 0;
+
+		for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) {
+			if ( acceptData( elem ) ) {
+				if ( ( data = elem[ dataPriv.expando ] ) ) {
+					if ( data.events ) {
+						for ( type in data.events ) {
+							if ( special[ type ] ) {
+								jQuery.event.remove( elem, type );
+
+							// This is a shortcut to avoid jQuery.event.remove's overhead
+							} else {
+								jQuery.removeEvent( elem, type, data.handle );
+							}
+						}
+					}
+
+					// Support: Chrome <=35 - 45+
+					// Assign undefined instead of using delete, see Data#remove
+					elem[ dataPriv.expando ] = undefined;
+				}
+				if ( elem[ dataUser.expando ] ) {
+
+					// Support: Chrome <=35 - 45+
+					// Assign undefined instead of using delete, see Data#remove
+					elem[ dataUser.expando ] = undefined;
+				}
+			}
+		}
+	}
+} );
+
+jQuery.fn.extend( {
+	detach: function( selector ) {
+		return remove( this, selector, true );
+	},
+
+	remove: function( selector ) {
+		return remove( this, selector );
+	},
+
+	text: function( value ) {
+		return access( this, function( value ) {
+			return value === undefined ?
+				jQuery.text( this ) :
+				this.empty().each( function() {
+					if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+						this.textContent = value;
+					}
+				} );
+		}, null, value, arguments.length );
+	},
+
+	append: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.appendChild( elem );
+			}
+		} );
+	},
+
+	prepend: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.insertBefore( elem, target.firstChild );
+			}
+		} );
+	},
+
+	before: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this );
+			}
+		} );
+	},
+
+	after: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this.nextSibling );
+			}
+		} );
+	},
+
+	empty: function() {
+		var elem,
+			i = 0;
+
+		for ( ; ( elem = this[ i ] ) != null; i++ ) {
+			if ( elem.nodeType === 1 ) {
+
+				// Prevent memory leaks
+				jQuery.cleanData( getAll( elem, false ) );
+
+				// Remove any remaining nodes
+				elem.textContent = "";
+			}
+		}
+
+		return this;
+	},
+
+	clone: function( dataAndEvents, deepDataAndEvents ) {
+		dataAndEvents = dataAndEvents == null ? false : dataAndEvents;
+		deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents;
+
+		return this.map( function() {
+			return jQuery.clone( this, dataAndEvents, deepDataAndEvents );
+		} );
+	},
+
+	html: function( value ) {
+		return access( this, function( value ) {
+			var elem = this[ 0 ] || {},
+				i = 0,
+				l = this.length;
+
+			if ( value === undefined && elem.nodeType === 1 ) {
+				return elem.innerHTML;
+			}
+
+			// See if we can take a shortcut and just use innerHTML
+			if ( typeof value === "string" && !rnoInnerhtml.test( value ) &&
+				!wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) {
+
+				value = jQuery.htmlPrefilter( value );
+
+				try {
+					for ( ; i < l; i++ ) {
+						elem = this[ i ] || {};
+
+						// Remove element nodes and prevent memory leaks
+						if ( elem.nodeType === 1 ) {
+							jQuery.cleanData( getAll( elem, false ) );
+							elem.innerHTML = value;
+						}
+					}
+
+					elem = 0;
+
+				// If using innerHTML throws an exception, use the fallback method
+				} catch ( e ) {}
+			}
+
+			if ( elem ) {
+				this.empty().append( value );
+			}
+		}, null, value, arguments.length );
+	},
+
+	replaceWith: function() {
+		var ignored = [];
+
+		// Make the changes, replacing each non-ignored context element with the new content
+		return domManip( this, arguments, function( elem ) {
+			var parent = this.parentNode;
+
+			if ( jQuery.inArray( this, ignored ) < 0 ) {
+				jQuery.cleanData( getAll( this ) );
+				if ( parent ) {
+					parent.replaceChild( elem, this );
+				}
+			}
+
+		// Force callback invocation
+		}, ignored );
+	}
+} );
+
+jQuery.each( {
+	appendTo: "append",
+	prependTo: "prepend",
+	insertBefore: "before",
+	insertAfter: "after",
+	replaceAll: "replaceWith"
+}, function( name, original ) {
+	jQuery.fn[ name ] = function( selector ) {
+		var elems,
+			ret = [],
+			insert = jQuery( selector ),
+			last = insert.length - 1,
+			i = 0;
+
+		for ( ; i <= last; i++ ) {
+			elems = i === last ? this : this.clone( true );
+			jQuery( insert[ i ] )[ original ]( elems );
+
+			// Support: Android <=4.0 only, PhantomJS 1 only
+			// .get() because push.apply(_, arraylike) throws on ancient WebKit
+			push.apply( ret, elems.get() );
+		}
+
+		return this.pushStack( ret );
+	};
+} );
+var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" );
+
+var getStyles = function( elem ) {
+
+		// Support: IE <=11 only, Firefox <=30 (#15098, #14150)
+		// IE throws on elements created in popups
+		// FF meanwhile throws on frame elements through "defaultView.getComputedStyle"
+		var view = elem.ownerDocument.defaultView;
+
+		if ( !view || !view.opener ) {
+			view = window;
+		}
+
+		return view.getComputedStyle( elem );
+	};
+
+var swap = function( elem, options, callback ) {
+	var ret, name,
+		old = {};
+
+	// Remember the old values, and insert the new ones
+	for ( name in options ) {
+		old[ name ] = elem.style[ name ];
+		elem.style[ name ] = options[ name ];
+	}
+
+	ret = callback.call( elem );
+
+	// Revert the old values
+	for ( name in options ) {
+		elem.style[ name ] = old[ name ];
+	}
+
+	return ret;
+};
+
+
+var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" );
+
+
+
+( function() {
+
+	// Executing both pixelPosition & boxSizingReliable tests require only one layout
+	// so they're executed at the same time to save the second computation.
+	function computeStyleTests() {
+
+		// This is a singleton, we need to execute it only once
+		if ( !div ) {
+			return;
+		}
+
+		container.style.cssText = "position:absolute;left:-11111px;width:60px;" +
+			"margin-top:1px;padding:0;border:0";
+		div.style.cssText =
+			"position:relative;display:block;box-sizing:border-box;overflow:scroll;" +
+			"margin:auto;border:1px;padding:1px;" +
+			"width:60%;top:1%";
+		documentElement.appendChild( container ).appendChild( div );
+
+		var divStyle = window.getComputedStyle( div );
+		pixelPositionVal = divStyle.top !== "1%";
+
+		// Support: Android 4.0 - 4.3 only, Firefox <=3 - 44
+		reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12;
+
+		// Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3
+		// Some styles come back with percentage values, even though they shouldn't
+		div.style.right = "60%";
+		pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36;
+
+		// Support: IE 9 - 11 only
+		// Detect misreporting of content dimensions for box-sizing:border-box elements
+		boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36;
+
+		// Support: IE 9 only
+		// Detect overflow:scroll screwiness (gh-3699)
+		// Support: Chrome <=64
+		// Don't get tricked when zoom affects offsetWidth (gh-4029)
+		div.style.position = "absolute";
+		scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12;
+
+		documentElement.removeChild( container );
+
+		// Nullify the div so it wouldn't be stored in the memory and
+		// it will also be a sign that checks already performed
+		div = null;
+	}
+
+	function roundPixelMeasures( measure ) {
+		return Math.round( parseFloat( measure ) );
+	}
+
+	var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal,
+		reliableTrDimensionsVal, reliableMarginLeftVal,
+		container = document.createElement( "div" ),
+		div = document.createElement( "div" );
+
+	// Finish early in limited (non-browser) environments
+	if ( !div.style ) {
+		return;
+	}
+
+	// Support: IE <=9 - 11 only
+	// Style of cloned element affects source element cloned (#8908)
+	div.style.backgroundClip = "content-box";
+	div.cloneNode( true ).style.backgroundClip = "";
+	support.clearCloneStyle = div.style.backgroundClip === "content-box";
+
+	jQuery.extend( support, {
+		boxSizingReliable: function() {
+			computeStyleTests();
+			return boxSizingReliableVal;
+		},
+		pixelBoxStyles: function() {
+			computeStyleTests();
+			return pixelBoxStylesVal;
+		},
+		pixelPosition: function() {
+			computeStyleTests();
+			return pixelPositionVal;
+		},
+		reliableMarginLeft: function() {
+			computeStyleTests();
+			return reliableMarginLeftVal;
+		},
+		scrollboxSize: function() {
+			computeStyleTests();
+			return scrollboxSizeVal;
+		},
+
+		// Support: IE 9 - 11+, Edge 15 - 18+
+		// IE/Edge misreport `getComputedStyle` of table rows with width/height
+		// set in CSS while `offset*` properties report correct values.
+		// Behavior in IE 9 is more subtle than in newer versions & it passes
+		// some versions of this test; make sure not to make it pass there!
+		//
+		// Support: Firefox 70+
+		// Only Firefox includes border widths
+		// in computed dimensions. (gh-4529)
+		reliableTrDimensions: function() {
+			var table, tr, trChild, trStyle;
+			if ( reliableTrDimensionsVal == null ) {
+				table = document.createElement( "table" );
+				tr = document.createElement( "tr" );
+				trChild = document.createElement( "div" );
+
+				table.style.cssText = "position:absolute;left:-11111px;border-collapse:separate";
+				tr.style.cssText = "border:1px solid";
+
+				// Support: Chrome 86+
+				// Height set through cssText does not get applied.
+				// Computed height then comes back as 0.
+				tr.style.height = "1px";
+				trChild.style.height = "9px";
+
+				// Support: Android 8 Chrome 86+
+				// In our bodyBackground.html iframe,
+				// display for all div elements is set to "inline",
+				// which causes a problem only in Android 8 Chrome 86.
+				// Ensuring the div is display: block
+				// gets around this issue.
+				trChild.style.display = "block";
+
+				documentElement
+					.appendChild( table )
+					.appendChild( tr )
+					.appendChild( trChild );
+
+				trStyle = window.getComputedStyle( tr );
+				reliableTrDimensionsVal = ( parseInt( trStyle.height, 10 ) +
+					parseInt( trStyle.borderTopWidth, 10 ) +
+					parseInt( trStyle.borderBottomWidth, 10 ) ) === tr.offsetHeight;
+
+				documentElement.removeChild( table );
+			}
+			return reliableTrDimensionsVal;
+		}
+	} );
+} )();
+
+
+function curCSS( elem, name, computed ) {
+	var width, minWidth, maxWidth, ret,
+
+		// Support: Firefox 51+
+		// Retrieving style before computed somehow
+		// fixes an issue with getting wrong values
+		// on detached elements
+		style = elem.style;
+
+	computed = computed || getStyles( elem );
+
+	// getPropertyValue is needed for:
+	//   .css('filter') (IE 9 only, #12537)
+	//   .css('--customProperty) (#3144)
+	if ( computed ) {
+		ret = computed.getPropertyValue( name ) || computed[ name ];
+
+		if ( ret === "" && !isAttached( elem ) ) {
+			ret = jQuery.style( elem, name );
+		}
+
+		// A tribute to the "awesome hack by Dean Edwards"
+		// Android Browser returns percentage for some values,
+		// but width seems to be reliably pixels.
+		// This is against the CSSOM draft spec:
+		// https://drafts.csswg.org/cssom/#resolved-values
+		if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) {
+
+			// Remember the original values
+			width = style.width;
+			minWidth = style.minWidth;
+			maxWidth = style.maxWidth;
+
+			// Put in the new values to get a computed value out
+			style.minWidth = style.maxWidth = style.width = ret;
+			ret = computed.width;
+
+			// Revert the changed values
+			style.width = width;
+			style.minWidth = minWidth;
+			style.maxWidth = maxWidth;
+		}
+	}
+
+	return ret !== undefined ?
+
+		// Support: IE <=9 - 11 only
+		// IE returns zIndex value as an integer.
+		ret + "" :
+		ret;
+}
+
+
+function addGetHookIf( conditionFn, hookFn ) {
+
+	// Define the hook, we'll check on the first run if it's really needed.
+	return {
+		get: function() {
+			if ( conditionFn() ) {
+
+				// Hook not needed (or it's not possible to use it due
+				// to missing dependency), remove it.
+				delete this.get;
+				return;
+			}
+
+			// Hook needed; redefine it so that the support test is not executed again.
+			return ( this.get = hookFn ).apply( this, arguments );
+		}
+	};
+}
+
+
+var cssPrefixes = [ "Webkit", "Moz", "ms" ],
+	emptyStyle = document.createElement( "div" ).style,
+	vendorProps = {};
+
+// Return a vendor-prefixed property or undefined
+function vendorPropName( name ) {
+
+	// Check for vendor prefixed names
+	var capName = name[ 0 ].toUpperCase() + name.slice( 1 ),
+		i = cssPrefixes.length;
+
+	while ( i-- ) {
+		name = cssPrefixes[ i ] + capName;
+		if ( name in emptyStyle ) {
+			return name;
+		}
+	}
+}
+
+// Return a potentially-mapped jQuery.cssProps or vendor prefixed property
+function finalPropName( name ) {
+	var final = jQuery.cssProps[ name ] || vendorProps[ name ];
+
+	if ( final ) {
+		return final;
+	}
+	if ( name in emptyStyle ) {
+		return name;
+	}
+	return vendorProps[ name ] = vendorPropName( name ) || name;
+}
+
+
+var
+
+	// Swappable if display is none or starts with table
+	// except "table", "table-cell", or "table-caption"
+	// See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display
+	rdisplayswap = /^(none|table(?!-c[ea]).+)/,
+	rcustomProp = /^--/,
+	cssShow = { position: "absolute", visibility: "hidden", display: "block" },
+	cssNormalTransform = {
+		letterSpacing: "0",
+		fontWeight: "400"
+	};
+
+function setPositiveNumber( _elem, value, subtract ) {
+
+	// Any relative (+/-) values have already been
+	// normalized at this point
+	var matches = rcssNum.exec( value );
+	return matches ?
+
+		// Guard against undefined "subtract", e.g., when used as in cssHooks
+		Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) :
+		value;
+}
+
+function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) {
+	var i = dimension === "width" ? 1 : 0,
+		extra = 0,
+		delta = 0;
+
+	// Adjustment may not be necessary
+	if ( box === ( isBorderBox ? "border" : "content" ) ) {
+		return 0;
+	}
+
+	for ( ; i < 4; i += 2 ) {
+
+		// Both box models exclude margin
+		if ( box === "margin" ) {
+			delta += jQuery.css( elem, box + cssExpand[ i ], true, styles );
+		}
+
+		// If we get here with a content-box, we're seeking "padding" or "border" or "margin"
+		if ( !isBorderBox ) {
+
+			// Add padding
+			delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+
+			// For "border" or "margin", add border
+			if ( box !== "padding" ) {
+				delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+
+			// But still keep track of it otherwise
+			} else {
+				extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+
+		// If we get here with a border-box (content + padding + border), we're seeking "content" or
+		// "padding" or "margin"
+		} else {
+
+			// For "content", subtract padding
+			if ( box === "content" ) {
+				delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+			}
+
+			// For "content" or "padding", subtract border
+			if ( box !== "margin" ) {
+				delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+		}
+	}
+
+	// Account for positive content-box scroll gutter when requested by providing computedVal
+	if ( !isBorderBox && computedVal >= 0 ) {
+
+		// offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border
+		// Assuming integer scroll gutter, subtract the rest and round down
+		delta += Math.max( 0, Math.ceil(
+			elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
+			computedVal -
+			delta -
+			extra -
+			0.5
+
+		// If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter
+		// Use an explicit zero to avoid NaN (gh-3964)
+		) ) || 0;
+	}
+
+	return delta;
+}
+
+function getWidthOrHeight( elem, dimension, extra ) {
+
+	// Start with computed style
+	var styles = getStyles( elem ),
+
+		// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322).
+		// Fake content-box until we know it's needed to know the true value.
+		boxSizingNeeded = !support.boxSizingReliable() || extra,
+		isBorderBox = boxSizingNeeded &&
+			jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+		valueIsBorderBox = isBorderBox,
+
+		val = curCSS( elem, dimension, styles ),
+		offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 );
+
+	// Support: Firefox <=54
+	// Return a confounding non-pixel value or feign ignorance, as appropriate.
+	if ( rnumnonpx.test( val ) ) {
+		if ( !extra ) {
+			return val;
+		}
+		val = "auto";
+	}
+
+
+	// Support: IE 9 - 11 only
+	// Use offsetWidth/offsetHeight for when box sizing is unreliable.
+	// In those cases, the computed value can be trusted to be border-box.
+	if ( ( !support.boxSizingReliable() && isBorderBox ||
+
+		// Support: IE 10 - 11+, Edge 15 - 18+
+		// IE/Edge misreport `getComputedStyle` of table rows with width/height
+		// set in CSS while `offset*` properties report correct values.
+		// Interestingly, in some cases IE 9 doesn't suffer from this issue.
+		!support.reliableTrDimensions() && nodeName( elem, "tr" ) ||
+
+		// Fall back to offsetWidth/offsetHeight when value is "auto"
+		// This happens for inline elements with no explicit setting (gh-3571)
+		val === "auto" ||
+
+		// Support: Android <=4.1 - 4.3 only
+		// Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602)
+		!parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) &&
+
+		// Make sure the element is visible & connected
+		elem.getClientRects().length ) {
+
+		isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box";
+
+		// Where available, offsetWidth/offsetHeight approximate border box dimensions.
+		// Where not available (e.g., SVG), assume unreliable box-sizing and interpret the
+		// retrieved value as a content box dimension.
+		valueIsBorderBox = offsetProp in elem;
+		if ( valueIsBorderBox ) {
+			val = elem[ offsetProp ];
+		}
+	}
+
+	// Normalize "" and auto
+	val = parseFloat( val ) || 0;
+
+	// Adjust for the element's box model
+	return ( val +
+		boxModelAdjustment(
+			elem,
+			dimension,
+			extra || ( isBorderBox ? "border" : "content" ),
+			valueIsBorderBox,
+			styles,
+
+			// Provide the current computed size to request scroll gutter calculation (gh-3589)
+			val
+		)
+	) + "px";
+}
+
+jQuery.extend( {
+
+	// Add in style property hooks for overriding the default
+	// behavior of getting and setting a style property
+	cssHooks: {
+		opacity: {
+			get: function( elem, computed ) {
+				if ( computed ) {
+
+					// We should always get a number back from opacity
+					var ret = curCSS( elem, "opacity" );
+					return ret === "" ? "1" : ret;
+				}
+			}
+		}
+	},
+
+	// Don't automatically add "px" to these possibly-unitless properties
+	cssNumber: {
+		"animationIterationCount": true,
+		"columnCount": true,
+		"fillOpacity": true,
+		"flexGrow": true,
+		"flexShrink": true,
+		"fontWeight": true,
+		"gridArea": true,
+		"gridColumn": true,
+		"gridColumnEnd": true,
+		"gridColumnStart": true,
+		"gridRow": true,
+		"gridRowEnd": true,
+		"gridRowStart": true,
+		"lineHeight": true,
+		"opacity": true,
+		"order": true,
+		"orphans": true,
+		"widows": true,
+		"zIndex": true,
+		"zoom": true
+	},
+
+	// Add in properties whose names you wish to fix before
+	// setting or getting the value
+	cssProps: {},
+
+	// Get and set the style property on a DOM Node
+	style: function( elem, name, value, extra ) {
+
+		// Don't set styles on text and comment nodes
+		if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) {
+			return;
+		}
+
+		// Make sure that we're working with the right name
+		var ret, type, hooks,
+			origName = camelCase( name ),
+			isCustomProp = rcustomProp.test( name ),
+			style = elem.style;
+
+		// Make sure that we're working with the right name. We don't
+		// want to query the value if it is a CSS custom property
+		// since they are user-defined.
+		if ( !isCustomProp ) {
+			name = finalPropName( origName );
+		}
+
+		// Gets hook for the prefixed version, then unprefixed version
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// Check if we're setting a value
+		if ( value !== undefined ) {
+			type = typeof value;
+
+			// Convert "+=" or "-=" to relative numbers (#7345)
+			if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) {
+				value = adjustCSS( elem, name, ret );
+
+				// Fixes bug #9237
+				type = "number";
+			}
+
+			// Make sure that null and NaN values aren't set (#7116)
+			if ( value == null || value !== value ) {
+				return;
+			}
+
+			// If a number was passed in, add the unit (except for certain CSS properties)
+			// The isCustomProp check can be removed in jQuery 4.0 when we only auto-append
+			// "px" to a few hardcoded values.
+			if ( type === "number" && !isCustomProp ) {
+				value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" );
+			}
+
+			// background-* props affect original clone's values
+			if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) {
+				style[ name ] = "inherit";
+			}
+
+			// If a hook was provided, use that value, otherwise just set the specified value
+			if ( !hooks || !( "set" in hooks ) ||
+				( value = hooks.set( elem, value, extra ) ) !== undefined ) {
+
+				if ( isCustomProp ) {
+					style.setProperty( name, value );
+				} else {
+					style[ name ] = value;
+				}
+			}
+
+		} else {
+
+			// If a hook was provided get the non-computed value from there
+			if ( hooks && "get" in hooks &&
+				( ret = hooks.get( elem, false, extra ) ) !== undefined ) {
+
+				return ret;
+			}
+
+			// Otherwise just get the value from the style object
+			return style[ name ];
+		}
+	},
+
+	css: function( elem, name, extra, styles ) {
+		var val, num, hooks,
+			origName = camelCase( name ),
+			isCustomProp = rcustomProp.test( name );
+
+		// Make sure that we're working with the right name. We don't
+		// want to modify the value if it is a CSS custom property
+		// since they are user-defined.
+		if ( !isCustomProp ) {
+			name = finalPropName( origName );
+		}
+
+		// Try prefixed name followed by the unprefixed name
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// If a hook was provided get the computed value from there
+		if ( hooks && "get" in hooks ) {
+			val = hooks.get( elem, true, extra );
+		}
+
+		// Otherwise, if a way to get the computed value exists, use that
+		if ( val === undefined ) {
+			val = curCSS( elem, name, styles );
+		}
+
+		// Convert "normal" to computed value
+		if ( val === "normal" && name in cssNormalTransform ) {
+			val = cssNormalTransform[ name ];
+		}
+
+		// Make numeric if forced or a qualifier was provided and val looks numeric
+		if ( extra === "" || extra ) {
+			num = parseFloat( val );
+			return extra === true || isFinite( num ) ? num || 0 : val;
+		}
+
+		return val;
+	}
+} );
+
+jQuery.each( [ "height", "width" ], function( _i, dimension ) {
+	jQuery.cssHooks[ dimension ] = {
+		get: function( elem, computed, extra ) {
+			if ( computed ) {
+
+				// Certain elements can have dimension info if we invisibly show them
+				// but it must have a current display style that would benefit
+				return rdisplayswap.test( jQuery.css( elem, "display" ) ) &&
+
+					// Support: Safari 8+
+					// Table columns in Safari have non-zero offsetWidth & zero
+					// getBoundingClientRect().width unless display is changed.
+					// Support: IE <=11 only
+					// Running getBoundingClientRect on a disconnected node
+					// in IE throws an error.
+					( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ?
+					swap( elem, cssShow, function() {
+						return getWidthOrHeight( elem, dimension, extra );
+					} ) :
+					getWidthOrHeight( elem, dimension, extra );
+			}
+		},
+
+		set: function( elem, value, extra ) {
+			var matches,
+				styles = getStyles( elem ),
+
+				// Only read styles.position if the test has a chance to fail
+				// to avoid forcing a reflow.
+				scrollboxSizeBuggy = !support.scrollboxSize() &&
+					styles.position === "absolute",
+
+				// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991)
+				boxSizingNeeded = scrollboxSizeBuggy || extra,
+				isBorderBox = boxSizingNeeded &&
+					jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+				subtract = extra ?
+					boxModelAdjustment(
+						elem,
+						dimension,
+						extra,
+						isBorderBox,
+						styles
+					) :
+					0;
+
+			// Account for unreliable border-box dimensions by comparing offset* to computed and
+			// faking a content-box to get border and padding (gh-3699)
+			if ( isBorderBox && scrollboxSizeBuggy ) {
+				subtract -= Math.ceil(
+					elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
+					parseFloat( styles[ dimension ] ) -
+					boxModelAdjustment( elem, dimension, "border", false, styles ) -
+					0.5
+				);
+			}
+
+			// Convert to pixels if value adjustment is needed
+			if ( subtract && ( matches = rcssNum.exec( value ) ) &&
+				( matches[ 3 ] || "px" ) !== "px" ) {
+
+				elem.style[ dimension ] = value;
+				value = jQuery.css( elem, dimension );
+			}
+
+			return setPositiveNumber( elem, value, subtract );
+		}
+	};
+} );
+
+jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft,
+	function( elem, computed ) {
+		if ( computed ) {
+			return ( parseFloat( curCSS( elem, "marginLeft" ) ) ||
+				elem.getBoundingClientRect().left -
+					swap( elem, { marginLeft: 0 }, function() {
+						return elem.getBoundingClientRect().left;
+					} )
+			) + "px";
+		}
+	}
+);
+
+// These hooks are used by animate to expand properties
+jQuery.each( {
+	margin: "",
+	padding: "",
+	border: "Width"
+}, function( prefix, suffix ) {
+	jQuery.cssHooks[ prefix + suffix ] = {
+		expand: function( value ) {
+			var i = 0,
+				expanded = {},
+
+				// Assumes a single number if not a string
+				parts = typeof value === "string" ? value.split( " " ) : [ value ];
+
+			for ( ; i < 4; i++ ) {
+				expanded[ prefix + cssExpand[ i ] + suffix ] =
+					parts[ i ] || parts[ i - 2 ] || parts[ 0 ];
+			}
+
+			return expanded;
+		}
+	};
+
+	if ( prefix !== "margin" ) {
+		jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber;
+	}
+} );
+
+jQuery.fn.extend( {
+	css: function( name, value ) {
+		return access( this, function( elem, name, value ) {
+			var styles, len,
+				map = {},
+				i = 0;
+
+			if ( Array.isArray( name ) ) {
+				styles = getStyles( elem );
+				len = name.length;
+
+				for ( ; i < len; i++ ) {
+					map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles );
+				}
+
+				return map;
+			}
+
+			return value !== undefined ?
+				jQuery.style( elem, name, value ) :
+				jQuery.css( elem, name );
+		}, name, value, arguments.length > 1 );
+	}
+} );
+
+
+function Tween( elem, options, prop, end, easing ) {
+	return new Tween.prototype.init( elem, options, prop, end, easing );
+}
+jQuery.Tween = Tween;
+
+Tween.prototype = {
+	constructor: Tween,
+	init: function( elem, options, prop, end, easing, unit ) {
+		this.elem = elem;
+		this.prop = prop;
+		this.easing = easing || jQuery.easing._default;
+		this.options = options;
+		this.start = this.now = this.cur();
+		this.end = end;
+		this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" );
+	},
+	cur: function() {
+		var hooks = Tween.propHooks[ this.prop ];
+
+		return hooks && hooks.get ?
+			hooks.get( this ) :
+			Tween.propHooks._default.get( this );
+	},
+	run: function( percent ) {
+		var eased,
+			hooks = Tween.propHooks[ this.prop ];
+
+		if ( this.options.duration ) {
+			this.pos = eased = jQuery.easing[ this.easing ](
+				percent, this.options.duration * percent, 0, 1, this.options.duration
+			);
+		} else {
+			this.pos = eased = percent;
+		}
+		this.now = ( this.end - this.start ) * eased + this.start;
+
+		if ( this.options.step ) {
+			this.options.step.call( this.elem, this.now, this );
+		}
+
+		if ( hooks && hooks.set ) {
+			hooks.set( this );
+		} else {
+			Tween.propHooks._default.set( this );
+		}
+		return this;
+	}
+};
+
+Tween.prototype.init.prototype = Tween.prototype;
+
+Tween.propHooks = {
+	_default: {
+		get: function( tween ) {
+			var result;
+
+			// Use a property on the element directly when it is not a DOM element,
+			// or when there is no matching style property that exists.
+			if ( tween.elem.nodeType !== 1 ||
+				tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) {
+				return tween.elem[ tween.prop ];
+			}
+
+			// Passing an empty string as a 3rd parameter to .css will automatically
+			// attempt a parseFloat and fallback to a string if the parse fails.
+			// Simple values such as "10px" are parsed to Float;
+			// complex values such as "rotate(1rad)" are returned as-is.
+			result = jQuery.css( tween.elem, tween.prop, "" );
+
+			// Empty strings, null, undefined and "auto" are converted to 0.
+			return !result || result === "auto" ? 0 : result;
+		},
+		set: function( tween ) {
+
+			// Use step hook for back compat.
+			// Use cssHook if its there.
+			// Use .style if available and use plain properties where available.
+			if ( jQuery.fx.step[ tween.prop ] ) {
+				jQuery.fx.step[ tween.prop ]( tween );
+			} else if ( tween.elem.nodeType === 1 && (
+				jQuery.cssHooks[ tween.prop ] ||
+					tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) {
+				jQuery.style( tween.elem, tween.prop, tween.now + tween.unit );
+			} else {
+				tween.elem[ tween.prop ] = tween.now;
+			}
+		}
+	}
+};
+
+// Support: IE <=9 only
+// Panic based approach to setting things on disconnected nodes
+Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = {
+	set: function( tween ) {
+		if ( tween.elem.nodeType && tween.elem.parentNode ) {
+			tween.elem[ tween.prop ] = tween.now;
+		}
+	}
+};
+
+jQuery.easing = {
+	linear: function( p ) {
+		return p;
+	},
+	swing: function( p ) {
+		return 0.5 - Math.cos( p * Math.PI ) / 2;
+	},
+	_default: "swing"
+};
+
+jQuery.fx = Tween.prototype.init;
+
+// Back compat <1.8 extension point
+jQuery.fx.step = {};
+
+
+
+
+var
+	fxNow, inProgress,
+	rfxtypes = /^(?:toggle|show|hide)$/,
+	rrun = /queueHooks$/;
+
+function schedule() {
+	if ( inProgress ) {
+		if ( document.hidden === false && window.requestAnimationFrame ) {
+			window.requestAnimationFrame( schedule );
+		} else {
+			window.setTimeout( schedule, jQuery.fx.interval );
+		}
+
+		jQuery.fx.tick();
+	}
+}
+
+// Animations created synchronously will run synchronously
+function createFxNow() {
+	window.setTimeout( function() {
+		fxNow = undefined;
+	} );
+	return ( fxNow = Date.now() );
+}
+
+// Generate parameters to create a standard animation
+function genFx( type, includeWidth ) {
+	var which,
+		i = 0,
+		attrs = { height: type };
+
+	// If we include width, step value is 1 to do all cssExpand values,
+	// otherwise step value is 2 to skip over Left and Right
+	includeWidth = includeWidth ? 1 : 0;
+	for ( ; i < 4; i += 2 - includeWidth ) {
+		which = cssExpand[ i ];
+		attrs[ "margin" + which ] = attrs[ "padding" + which ] = type;
+	}
+
+	if ( includeWidth ) {
+		attrs.opacity = attrs.width = type;
+	}
+
+	return attrs;
+}
+
+function createTween( value, prop, animation ) {
+	var tween,
+		collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ),
+		index = 0,
+		length = collection.length;
+	for ( ; index < length; index++ ) {
+		if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) {
+
+			// We're done with this property
+			return tween;
+		}
+	}
+}
+
+function defaultPrefilter( elem, props, opts ) {
+	var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display,
+		isBox = "width" in props || "height" in props,
+		anim = this,
+		orig = {},
+		style = elem.style,
+		hidden = elem.nodeType && isHiddenWithinTree( elem ),
+		dataShow = dataPriv.get( elem, "fxshow" );
+
+	// Queue-skipping animations hijack the fx hooks
+	if ( !opts.queue ) {
+		hooks = jQuery._queueHooks( elem, "fx" );
+		if ( hooks.unqueued == null ) {
+			hooks.unqueued = 0;
+			oldfire = hooks.empty.fire;
+			hooks.empty.fire = function() {
+				if ( !hooks.unqueued ) {
+					oldfire();
+				}
+			};
+		}
+		hooks.unqueued++;
+
+		anim.always( function() {
+
+			// Ensure the complete handler is called before this completes
+			anim.always( function() {
+				hooks.unqueued--;
+				if ( !jQuery.queue( elem, "fx" ).length ) {
+					hooks.empty.fire();
+				}
+			} );
+		} );
+	}
+
+	// Detect show/hide animations
+	for ( prop in props ) {
+		value = props[ prop ];
+		if ( rfxtypes.test( value ) ) {
+			delete props[ prop ];
+			toggle = toggle || value === "toggle";
+			if ( value === ( hidden ? "hide" : "show" ) ) {
+
+				// Pretend to be hidden if this is a "show" and
+				// there is still data from a stopped show/hide
+				if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) {
+					hidden = true;
+
+				// Ignore all other no-op show/hide data
+				} else {
+					continue;
+				}
+			}
+			orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop );
+		}
+	}
+
+	// Bail out if this is a no-op like .hide().hide()
+	propTween = !jQuery.isEmptyObject( props );
+	if ( !propTween && jQuery.isEmptyObject( orig ) ) {
+		return;
+	}
+
+	// Restrict "overflow" and "display" styles during box animations
+	if ( isBox && elem.nodeType === 1 ) {
+
+		// Support: IE <=9 - 11, Edge 12 - 15
+		// Record all 3 overflow attributes because IE does not infer the shorthand
+		// from identically-valued overflowX and overflowY and Edge just mirrors
+		// the overflowX value there.
+		opts.overflow = [ style.overflow, style.overflowX, style.overflowY ];
+
+		// Identify a display type, preferring old show/hide data over the CSS cascade
+		restoreDisplay = dataShow && dataShow.display;
+		if ( restoreDisplay == null ) {
+			restoreDisplay = dataPriv.get( elem, "display" );
+		}
+		display = jQuery.css( elem, "display" );
+		if ( display === "none" ) {
+			if ( restoreDisplay ) {
+				display = restoreDisplay;
+			} else {
+
+				// Get nonempty value(s) by temporarily forcing visibility
+				showHide( [ elem ], true );
+				restoreDisplay = elem.style.display || restoreDisplay;
+				display = jQuery.css( elem, "display" );
+				showHide( [ elem ] );
+			}
+		}
+
+		// Animate inline elements as inline-block
+		if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) {
+			if ( jQuery.css( elem, "float" ) === "none" ) {
+
+				// Restore the original display value at the end of pure show/hide animations
+				if ( !propTween ) {
+					anim.done( function() {
+						style.display = restoreDisplay;
+					} );
+					if ( restoreDisplay == null ) {
+						display = style.display;
+						restoreDisplay = display === "none" ? "" : display;
+					}
+				}
+				style.display = "inline-block";
+			}
+		}
+	}
+
+	if ( opts.overflow ) {
+		style.overflow = "hidden";
+		anim.always( function() {
+			style.overflow = opts.overflow[ 0 ];
+			style.overflowX = opts.overflow[ 1 ];
+			style.overflowY = opts.overflow[ 2 ];
+		} );
+	}
+
+	// Implement show/hide animations
+	propTween = false;
+	for ( prop in orig ) {
+
+		// General show/hide setup for this element animation
+		if ( !propTween ) {
+			if ( dataShow ) {
+				if ( "hidden" in dataShow ) {
+					hidden = dataShow.hidden;
+				}
+			} else {
+				dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } );
+			}
+
+			// Store hidden/visible for toggle so `.stop().toggle()` "reverses"
+			if ( toggle ) {
+				dataShow.hidden = !hidden;
+			}
+
+			// Show elements before animating them
+			if ( hidden ) {
+				showHide( [ elem ], true );
+			}
+
+			/* eslint-disable no-loop-func */
+
+			anim.done( function() {
+
+				/* eslint-enable no-loop-func */
+
+				// The final step of a "hide" animation is actually hiding the element
+				if ( !hidden ) {
+					showHide( [ elem ] );
+				}
+				dataPriv.remove( elem, "fxshow" );
+				for ( prop in orig ) {
+					jQuery.style( elem, prop, orig[ prop ] );
+				}
+			} );
+		}
+
+		// Per-property setup
+		propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim );
+		if ( !( prop in dataShow ) ) {
+			dataShow[ prop ] = propTween.start;
+			if ( hidden ) {
+				propTween.end = propTween.start;
+				propTween.start = 0;
+			}
+		}
+	}
+}
+
+function propFilter( props, specialEasing ) {
+	var index, name, easing, value, hooks;
+
+	// camelCase, specialEasing and expand cssHook pass
+	for ( index in props ) {
+		name = camelCase( index );
+		easing = specialEasing[ name ];
+		value = props[ index ];
+		if ( Array.isArray( value ) ) {
+			easing = value[ 1 ];
+			value = props[ index ] = value[ 0 ];
+		}
+
+		if ( index !== name ) {
+			props[ name ] = value;
+			delete props[ index ];
+		}
+
+		hooks = jQuery.cssHooks[ name ];
+		if ( hooks && "expand" in hooks ) {
+			value = hooks.expand( value );
+			delete props[ name ];
+
+			// Not quite $.extend, this won't overwrite existing keys.
+			// Reusing 'index' because we have the correct "name"
+			for ( index in value ) {
+				if ( !( index in props ) ) {
+					props[ index ] = value[ index ];
+					specialEasing[ index ] = easing;
+				}
+			}
+		} else {
+			specialEasing[ name ] = easing;
+		}
+	}
+}
+
+function Animation( elem, properties, options ) {
+	var result,
+		stopped,
+		index = 0,
+		length = Animation.prefilters.length,
+		deferred = jQuery.Deferred().always( function() {
+
+			// Don't match elem in the :animated selector
+			delete tick.elem;
+		} ),
+		tick = function() {
+			if ( stopped ) {
+				return false;
+			}
+			var currentTime = fxNow || createFxNow(),
+				remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ),
+
+				// Support: Android 2.3 only
+				// Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497)
+				temp = remaining / animation.duration || 0,
+				percent = 1 - temp,
+				index = 0,
+				length = animation.tweens.length;
+
+			for ( ; index < length; index++ ) {
+				animation.tweens[ index ].run( percent );
+			}
+
+			deferred.notifyWith( elem, [ animation, percent, remaining ] );
+
+			// If there's more to do, yield
+			if ( percent < 1 && length ) {
+				return remaining;
+			}
+
+			// If this was an empty animation, synthesize a final progress notification
+			if ( !length ) {
+				deferred.notifyWith( elem, [ animation, 1, 0 ] );
+			}
+
+			// Resolve the animation and report its conclusion
+			deferred.resolveWith( elem, [ animation ] );
+			return false;
+		},
+		animation = deferred.promise( {
+			elem: elem,
+			props: jQuery.extend( {}, properties ),
+			opts: jQuery.extend( true, {
+				specialEasing: {},
+				easing: jQuery.easing._default
+			}, options ),
+			originalProperties: properties,
+			originalOptions: options,
+			startTime: fxNow || createFxNow(),
+			duration: options.duration,
+			tweens: [],
+			createTween: function( prop, end ) {
+				var tween = jQuery.Tween( elem, animation.opts, prop, end,
+					animation.opts.specialEasing[ prop ] || animation.opts.easing );
+				animation.tweens.push( tween );
+				return tween;
+			},
+			stop: function( gotoEnd ) {
+				var index = 0,
+
+					// If we are going to the end, we want to run all the tweens
+					// otherwise we skip this part
+					length = gotoEnd ? animation.tweens.length : 0;
+				if ( stopped ) {
+					return this;
+				}
+				stopped = true;
+				for ( ; index < length; index++ ) {
+					animation.tweens[ index ].run( 1 );
+				}
+
+				// Resolve when we played the last frame; otherwise, reject
+				if ( gotoEnd ) {
+					deferred.notifyWith( elem, [ animation, 1, 0 ] );
+					deferred.resolveWith( elem, [ animation, gotoEnd ] );
+				} else {
+					deferred.rejectWith( elem, [ animation, gotoEnd ] );
+				}
+				return this;
+			}
+		} ),
+		props = animation.props;
+
+	propFilter( props, animation.opts.specialEasing );
+
+	for ( ; index < length; index++ ) {
+		result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts );
+		if ( result ) {
+			if ( isFunction( result.stop ) ) {
+				jQuery._queueHooks( animation.elem, animation.opts.queue ).stop =
+					result.stop.bind( result );
+			}
+			return result;
+		}
+	}
+
+	jQuery.map( props, createTween, animation );
+
+	if ( isFunction( animation.opts.start ) ) {
+		animation.opts.start.call( elem, animation );
+	}
+
+	// Attach callbacks from options
+	animation
+		.progress( animation.opts.progress )
+		.done( animation.opts.done, animation.opts.complete )
+		.fail( animation.opts.fail )
+		.always( animation.opts.always );
+
+	jQuery.fx.timer(
+		jQuery.extend( tick, {
+			elem: elem,
+			anim: animation,
+			queue: animation.opts.queue
+		} )
+	);
+
+	return animation;
+}
+
+jQuery.Animation = jQuery.extend( Animation, {
+
+	tweeners: {
+		"*": [ function( prop, value ) {
+			var tween = this.createTween( prop, value );
+			adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween );
+			return tween;
+		} ]
+	},
+
+	tweener: function( props, callback ) {
+		if ( isFunction( props ) ) {
+			callback = props;
+			props = [ "*" ];
+		} else {
+			props = props.match( rnothtmlwhite );
+		}
+
+		var prop,
+			index = 0,
+			length = props.length;
+
+		for ( ; index < length; index++ ) {
+			prop = props[ index ];
+			Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || [];
+			Animation.tweeners[ prop ].unshift( callback );
+		}
+	},
+
+	prefilters: [ defaultPrefilter ],
+
+	prefilter: function( callback, prepend ) {
+		if ( prepend ) {
+			Animation.prefilters.unshift( callback );
+		} else {
+			Animation.prefilters.push( callback );
+		}
+	}
+} );
+
+jQuery.speed = function( speed, easing, fn ) {
+	var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : {
+		complete: fn || !fn && easing ||
+			isFunction( speed ) && speed,
+		duration: speed,
+		easing: fn && easing || easing && !isFunction( easing ) && easing
+	};
+
+	// Go to the end state if fx are off
+	if ( jQuery.fx.off ) {
+		opt.duration = 0;
+
+	} else {
+		if ( typeof opt.duration !== "number" ) {
+			if ( opt.duration in jQuery.fx.speeds ) {
+				opt.duration = jQuery.fx.speeds[ opt.duration ];
+
+			} else {
+				opt.duration = jQuery.fx.speeds._default;
+			}
+		}
+	}
+
+	// Normalize opt.queue - true/undefined/null -> "fx"
+	if ( opt.queue == null || opt.queue === true ) {
+		opt.queue = "fx";
+	}
+
+	// Queueing
+	opt.old = opt.complete;
+
+	opt.complete = function() {
+		if ( isFunction( opt.old ) ) {
+			opt.old.call( this );
+		}
+
+		if ( opt.queue ) {
+			jQuery.dequeue( this, opt.queue );
+		}
+	};
+
+	return opt;
+};
+
+jQuery.fn.extend( {
+	fadeTo: function( speed, to, easing, callback ) {
+
+		// Show any hidden elements after setting opacity to 0
+		return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show()
+
+			// Animate to the value specified
+			.end().animate( { opacity: to }, speed, easing, callback );
+	},
+	animate: function( prop, speed, easing, callback ) {
+		var empty = jQuery.isEmptyObject( prop ),
+			optall = jQuery.speed( speed, easing, callback ),
+			doAnimation = function() {
+
+				// Operate on a copy of prop so per-property easing won't be lost
+				var anim = Animation( this, jQuery.extend( {}, prop ), optall );
+
+				// Empty animations, or finishing resolves immediately
+				if ( empty || dataPriv.get( this, "finish" ) ) {
+					anim.stop( true );
+				}
+			};
+
+		doAnimation.finish = doAnimation;
+
+		return empty || optall.queue === false ?
+			this.each( doAnimation ) :
+			this.queue( optall.queue, doAnimation );
+	},
+	stop: function( type, clearQueue, gotoEnd ) {
+		var stopQueue = function( hooks ) {
+			var stop = hooks.stop;
+			delete hooks.stop;
+			stop( gotoEnd );
+		};
+
+		if ( typeof type !== "string" ) {
+			gotoEnd = clearQueue;
+			clearQueue = type;
+			type = undefined;
+		}
+		if ( clearQueue ) {
+			this.queue( type || "fx", [] );
+		}
+
+		return this.each( function() {
+			var dequeue = true,
+				index = type != null && type + "queueHooks",
+				timers = jQuery.timers,
+				data = dataPriv.get( this );
+
+			if ( index ) {
+				if ( data[ index ] && data[ index ].stop ) {
+					stopQueue( data[ index ] );
+				}
+			} else {
+				for ( index in data ) {
+					if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) {
+						stopQueue( data[ index ] );
+					}
+				}
+			}
+
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this &&
+					( type == null || timers[ index ].queue === type ) ) {
+
+					timers[ index ].anim.stop( gotoEnd );
+					dequeue = false;
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Start the next in the queue if the last step wasn't forced.
+			// Timers currently will call their complete callbacks, which
+			// will dequeue but only if they were gotoEnd.
+			if ( dequeue || !gotoEnd ) {
+				jQuery.dequeue( this, type );
+			}
+		} );
+	},
+	finish: function( type ) {
+		if ( type !== false ) {
+			type = type || "fx";
+		}
+		return this.each( function() {
+			var index,
+				data = dataPriv.get( this ),
+				queue = data[ type + "queue" ],
+				hooks = data[ type + "queueHooks" ],
+				timers = jQuery.timers,
+				length = queue ? queue.length : 0;
+
+			// Enable finishing flag on private data
+			data.finish = true;
+
+			// Empty the queue first
+			jQuery.queue( this, type, [] );
+
+			if ( hooks && hooks.stop ) {
+				hooks.stop.call( this, true );
+			}
+
+			// Look for any active animations, and finish them
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this && timers[ index ].queue === type ) {
+					timers[ index ].anim.stop( true );
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Look for any animations in the old queue and finish them
+			for ( index = 0; index < length; index++ ) {
+				if ( queue[ index ] && queue[ index ].finish ) {
+					queue[ index ].finish.call( this );
+				}
+			}
+
+			// Turn off finishing flag
+			delete data.finish;
+		} );
+	}
+} );
+
+jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) {
+	var cssFn = jQuery.fn[ name ];
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return speed == null || typeof speed === "boolean" ?
+			cssFn.apply( this, arguments ) :
+			this.animate( genFx( name, true ), speed, easing, callback );
+	};
+} );
+
+// Generate shortcuts for custom animations
+jQuery.each( {
+	slideDown: genFx( "show" ),
+	slideUp: genFx( "hide" ),
+	slideToggle: genFx( "toggle" ),
+	fadeIn: { opacity: "show" },
+	fadeOut: { opacity: "hide" },
+	fadeToggle: { opacity: "toggle" }
+}, function( name, props ) {
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return this.animate( props, speed, easing, callback );
+	};
+} );
+
+jQuery.timers = [];
+jQuery.fx.tick = function() {
+	var timer,
+		i = 0,
+		timers = jQuery.timers;
+
+	fxNow = Date.now();
+
+	for ( ; i < timers.length; i++ ) {
+		timer = timers[ i ];
+
+		// Run the timer and safely remove it when done (allowing for external removal)
+		if ( !timer() && timers[ i ] === timer ) {
+			timers.splice( i--, 1 );
+		}
+	}
+
+	if ( !timers.length ) {
+		jQuery.fx.stop();
+	}
+	fxNow = undefined;
+};
+
+jQuery.fx.timer = function( timer ) {
+	jQuery.timers.push( timer );
+	jQuery.fx.start();
+};
+
+jQuery.fx.interval = 13;
+jQuery.fx.start = function() {
+	if ( inProgress ) {
+		return;
+	}
+
+	inProgress = true;
+	schedule();
+};
+
+jQuery.fx.stop = function() {
+	inProgress = null;
+};
+
+jQuery.fx.speeds = {
+	slow: 600,
+	fast: 200,
+
+	// Default speed
+	_default: 400
+};
+
+
+// Based off of the plugin by Clint Helfers, with permission.
+// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/
+jQuery.fn.delay = function( time, type ) {
+	time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time;
+	type = type || "fx";
+
+	return this.queue( type, function( next, hooks ) {
+		var timeout = window.setTimeout( next, time );
+		hooks.stop = function() {
+			window.clearTimeout( timeout );
+		};
+	} );
+};
+
+
+( function() {
+	var input = document.createElement( "input" ),
+		select = document.createElement( "select" ),
+		opt = select.appendChild( document.createElement( "option" ) );
+
+	input.type = "checkbox";
+
+	// Support: Android <=4.3 only
+	// Default value for a checkbox should be "on"
+	support.checkOn = input.value !== "";
+
+	// Support: IE <=11 only
+	// Must access selectedIndex to make default options select
+	support.optSelected = opt.selected;
+
+	// Support: IE <=11 only
+	// An input loses its value after becoming a radio
+	input = document.createElement( "input" );
+	input.value = "t";
+	input.type = "radio";
+	support.radioValue = input.value === "t";
+} )();
+
+
+var boolHook,
+	attrHandle = jQuery.expr.attrHandle;
+
+jQuery.fn.extend( {
+	attr: function( name, value ) {
+		return access( this, jQuery.attr, name, value, arguments.length > 1 );
+	},
+
+	removeAttr: function( name ) {
+		return this.each( function() {
+			jQuery.removeAttr( this, name );
+		} );
+	}
+} );
+
+jQuery.extend( {
+	attr: function( elem, name, value ) {
+		var ret, hooks,
+			nType = elem.nodeType;
+
+		// Don't get/set attributes on text, comment and attribute nodes
+		if ( nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		// Fallback to prop when attributes are not supported
+		if ( typeof elem.getAttribute === "undefined" ) {
+			return jQuery.prop( elem, name, value );
+		}
+
+		// Attribute hooks are determined by the lowercase version
+		// Grab necessary hook if one is defined
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+			hooks = jQuery.attrHooks[ name.toLowerCase() ] ||
+				( jQuery.expr.match.bool.test( name ) ? boolHook : undefined );
+		}
+
+		if ( value !== undefined ) {
+			if ( value === null ) {
+				jQuery.removeAttr( elem, name );
+				return;
+			}
+
+			if ( hooks && "set" in hooks &&
+				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+				return ret;
+			}
+
+			elem.setAttribute( name, value + "" );
+			return value;
+		}
+
+		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+			return ret;
+		}
+
+		ret = jQuery.find.attr( elem, name );
+
+		// Non-existent attributes return null, we normalize to undefined
+		return ret == null ? undefined : ret;
+	},
+
+	attrHooks: {
+		type: {
+			set: function( elem, value ) {
+				if ( !support.radioValue && value === "radio" &&
+					nodeName( elem, "input" ) ) {
+					var val = elem.value;
+					elem.setAttribute( "type", value );
+					if ( val ) {
+						elem.value = val;
+					}
+					return value;
+				}
+			}
+		}
+	},
+
+	removeAttr: function( elem, value ) {
+		var name,
+			i = 0,
+
+			// Attribute names can contain non-HTML whitespace characters
+			// https://html.spec.whatwg.org/multipage/syntax.html#attributes-2
+			attrNames = value && value.match( rnothtmlwhite );
+
+		if ( attrNames && elem.nodeType === 1 ) {
+			while ( ( name = attrNames[ i++ ] ) ) {
+				elem.removeAttribute( name );
+			}
+		}
+	}
+} );
+
+// Hooks for boolean attributes
+boolHook = {
+	set: function( elem, value, name ) {
+		if ( value === false ) {
+
+			// Remove boolean attributes when set to false
+			jQuery.removeAttr( elem, name );
+		} else {
+			elem.setAttribute( name, name );
+		}
+		return name;
+	}
+};
+
+jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) {
+	var getter = attrHandle[ name ] || jQuery.find.attr;
+
+	attrHandle[ name ] = function( elem, name, isXML ) {
+		var ret, handle,
+			lowercaseName = name.toLowerCase();
+
+		if ( !isXML ) {
+
+			// Avoid an infinite loop by temporarily removing this function from the getter
+			handle = attrHandle[ lowercaseName ];
+			attrHandle[ lowercaseName ] = ret;
+			ret = getter( elem, name, isXML ) != null ?
+				lowercaseName :
+				null;
+			attrHandle[ lowercaseName ] = handle;
+		}
+		return ret;
+	};
+} );
+
+
+
+
+var rfocusable = /^(?:input|select|textarea|button)$/i,
+	rclickable = /^(?:a|area)$/i;
+
+jQuery.fn.extend( {
+	prop: function( name, value ) {
+		return access( this, jQuery.prop, name, value, arguments.length > 1 );
+	},
+
+	removeProp: function( name ) {
+		return this.each( function() {
+			delete this[ jQuery.propFix[ name ] || name ];
+		} );
+	}
+} );
+
+jQuery.extend( {
+	prop: function( elem, name, value ) {
+		var ret, hooks,
+			nType = elem.nodeType;
+
+		// Don't get/set properties on text, comment and attribute nodes
+		if ( nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+
+			// Fix name and attach hooks
+			name = jQuery.propFix[ name ] || name;
+			hooks = jQuery.propHooks[ name ];
+		}
+
+		if ( value !== undefined ) {
+			if ( hooks && "set" in hooks &&
+				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+				return ret;
+			}
+
+			return ( elem[ name ] = value );
+		}
+
+		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+			return ret;
+		}
+
+		return elem[ name ];
+	},
+
+	propHooks: {
+		tabIndex: {
+			get: function( elem ) {
+
+				// Support: IE <=9 - 11 only
+				// elem.tabIndex doesn't always return the
+				// correct value when it hasn't been explicitly set
+				// https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/
+				// Use proper attribute retrieval(#12072)
+				var tabindex = jQuery.find.attr( elem, "tabindex" );
+
+				if ( tabindex ) {
+					return parseInt( tabindex, 10 );
+				}
+
+				if (
+					rfocusable.test( elem.nodeName ) ||
+					rclickable.test( elem.nodeName ) &&
+					elem.href
+				) {
+					return 0;
+				}
+
+				return -1;
+			}
+		}
+	},
+
+	propFix: {
+		"for": "htmlFor",
+		"class": "className"
+	}
+} );
+
+// Support: IE <=11 only
+// Accessing the selectedIndex property
+// forces the browser to respect setting selected
+// on the option
+// The getter ensures a default option is selected
+// when in an optgroup
+// eslint rule "no-unused-expressions" is disabled for this code
+// since it considers such accessions noop
+if ( !support.optSelected ) {
+	jQuery.propHooks.selected = {
+		get: function( elem ) {
+
+			/* eslint no-unused-expressions: "off" */
+
+			var parent = elem.parentNode;
+			if ( parent && parent.parentNode ) {
+				parent.parentNode.selectedIndex;
+			}
+			return null;
+		},
+		set: function( elem ) {
+
+			/* eslint no-unused-expressions: "off" */
+
+			var parent = elem.parentNode;
+			if ( parent ) {
+				parent.selectedIndex;
+
+				if ( parent.parentNode ) {
+					parent.parentNode.selectedIndex;
+				}
+			}
+		}
+	};
+}
+
+jQuery.each( [
+	"tabIndex",
+	"readOnly",
+	"maxLength",
+	"cellSpacing",
+	"cellPadding",
+	"rowSpan",
+	"colSpan",
+	"useMap",
+	"frameBorder",
+	"contentEditable"
+], function() {
+	jQuery.propFix[ this.toLowerCase() ] = this;
+} );
+
+
+
+
+	// Strip and collapse whitespace according to HTML spec
+	// https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace
+	function stripAndCollapse( value ) {
+		var tokens = value.match( rnothtmlwhite ) || [];
+		return tokens.join( " " );
+	}
+
+
+function getClass( elem ) {
+	return elem.getAttribute && elem.getAttribute( "class" ) || "";
+}
+
+function classesToArray( value ) {
+	if ( Array.isArray( value ) ) {
+		return value;
+	}
+	if ( typeof value === "string" ) {
+		return value.match( rnothtmlwhite ) || [];
+	}
+	return [];
+}
+
+jQuery.fn.extend( {
+	addClass: function( value ) {
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
+
+		if ( isFunction( value ) ) {
+			return this.each( function( j ) {
+				jQuery( this ).addClass( value.call( this, j, getClass( this ) ) );
+			} );
+		}
+
+		classes = classesToArray( value );
+
+		if ( classes.length ) {
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+				if ( cur ) {
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+						if ( cur.indexOf( " " + clazz + " " ) < 0 ) {
+							cur += clazz + " ";
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = stripAndCollapse( cur );
+					if ( curValue !== finalValue ) {
+						elem.setAttribute( "class", finalValue );
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	removeClass: function( value ) {
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
+
+		if ( isFunction( value ) ) {
+			return this.each( function( j ) {
+				jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) );
+			} );
+		}
+
+		if ( !arguments.length ) {
+			return this.attr( "class", "" );
+		}
+
+		classes = classesToArray( value );
+
+		if ( classes.length ) {
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+
+				// This expression is here for better compressibility (see addClass)
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+				if ( cur ) {
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+
+						// Remove *all* instances
+						while ( cur.indexOf( " " + clazz + " " ) > -1 ) {
+							cur = cur.replace( " " + clazz + " ", " " );
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = stripAndCollapse( cur );
+					if ( curValue !== finalValue ) {
+						elem.setAttribute( "class", finalValue );
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	toggleClass: function( value, stateVal ) {
+		var type = typeof value,
+			isValidValue = type === "string" || Array.isArray( value );
+
+		if ( typeof stateVal === "boolean" && isValidValue ) {
+			return stateVal ? this.addClass( value ) : this.removeClass( value );
+		}
+
+		if ( isFunction( value ) ) {
+			return this.each( function( i ) {
+				jQuery( this ).toggleClass(
+					value.call( this, i, getClass( this ), stateVal ),
+					stateVal
+				);
+			} );
+		}
+
+		return this.each( function() {
+			var className, i, self, classNames;
+
+			if ( isValidValue ) {
+
+				// Toggle individual class names
+				i = 0;
+				self = jQuery( this );
+				classNames = classesToArray( value );
+
+				while ( ( className = classNames[ i++ ] ) ) {
+
+					// Check each className given, space separated list
+					if ( self.hasClass( className ) ) {
+						self.removeClass( className );
+					} else {
+						self.addClass( className );
+					}
+				}
+
+			// Toggle whole class name
+			} else if ( value === undefined || type === "boolean" ) {
+				className = getClass( this );
+				if ( className ) {
+
+					// Store className if set
+					dataPriv.set( this, "__className__", className );
+				}
+
+				// If the element has a class name or if we're passed `false`,
+				// then remove the whole classname (if there was one, the above saved it).
+				// Otherwise bring back whatever was previously saved (if anything),
+				// falling back to the empty string if nothing was stored.
+				if ( this.setAttribute ) {
+					this.setAttribute( "class",
+						className || value === false ?
+							"" :
+							dataPriv.get( this, "__className__" ) || ""
+					);
+				}
+			}
+		} );
+	},
+
+	hasClass: function( selector ) {
+		var className, elem,
+			i = 0;
+
+		className = " " + selector + " ";
+		while ( ( elem = this[ i++ ] ) ) {
+			if ( elem.nodeType === 1 &&
+				( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) {
+				return true;
+			}
+		}
+
+		return false;
+	}
+} );
+
+
+
+
+var rreturn = /\r/g;
+
+jQuery.fn.extend( {
+	val: function( value ) {
+		var hooks, ret, valueIsFunction,
+			elem = this[ 0 ];
+
+		if ( !arguments.length ) {
+			if ( elem ) {
+				hooks = jQuery.valHooks[ elem.type ] ||
+					jQuery.valHooks[ elem.nodeName.toLowerCase() ];
+
+				if ( hooks &&
+					"get" in hooks &&
+					( ret = hooks.get( elem, "value" ) ) !== undefined
+				) {
+					return ret;
+				}
+
+				ret = elem.value;
+
+				// Handle most common string cases
+				if ( typeof ret === "string" ) {
+					return ret.replace( rreturn, "" );
+				}
+
+				// Handle cases where value is null/undef or number
+				return ret == null ? "" : ret;
+			}
+
+			return;
+		}
+
+		valueIsFunction = isFunction( value );
+
+		return this.each( function( i ) {
+			var val;
+
+			if ( this.nodeType !== 1 ) {
+				return;
+			}
+
+			if ( valueIsFunction ) {
+				val = value.call( this, i, jQuery( this ).val() );
+			} else {
+				val = value;
+			}
+
+			// Treat null/undefined as ""; convert numbers to string
+			if ( val == null ) {
+				val = "";
+
+			} else if ( typeof val === "number" ) {
+				val += "";
+
+			} else if ( Array.isArray( val ) ) {
+				val = jQuery.map( val, function( value ) {
+					return value == null ? "" : value + "";
+				} );
+			}
+
+			hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ];
+
+			// If set returns undefined, fall back to normal setting
+			if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) {
+				this.value = val;
+			}
+		} );
+	}
+} );
+
+jQuery.extend( {
+	valHooks: {
+		option: {
+			get: function( elem ) {
+
+				var val = jQuery.find.attr( elem, "value" );
+				return val != null ?
+					val :
+
+					// Support: IE <=10 - 11 only
+					// option.text throws exceptions (#14686, #14858)
+					// Strip and collapse whitespace
+					// https://html.spec.whatwg.org/#strip-and-collapse-whitespace
+					stripAndCollapse( jQuery.text( elem ) );
+			}
+		},
+		select: {
+			get: function( elem ) {
+				var value, option, i,
+					options = elem.options,
+					index = elem.selectedIndex,
+					one = elem.type === "select-one",
+					values = one ? null : [],
+					max = one ? index + 1 : options.length;
+
+				if ( index < 0 ) {
+					i = max;
+
+				} else {
+					i = one ? index : 0;
+				}
+
+				// Loop through all the selected options
+				for ( ; i < max; i++ ) {
+					option = options[ i ];
+
+					// Support: IE <=9 only
+					// IE8-9 doesn't update selected after form reset (#2551)
+					if ( ( option.selected || i === index ) &&
+
+							// Don't return options that are disabled or in a disabled optgroup
+							!option.disabled &&
+							( !option.parentNode.disabled ||
+								!nodeName( option.parentNode, "optgroup" ) ) ) {
+
+						// Get the specific value for the option
+						value = jQuery( option ).val();
+
+						// We don't need an array for one selects
+						if ( one ) {
+							return value;
+						}
+
+						// Multi-Selects return an array
+						values.push( value );
+					}
+				}
+
+				return values;
+			},
+
+			set: function( elem, value ) {
+				var optionSet, option,
+					options = elem.options,
+					values = jQuery.makeArray( value ),
+					i = options.length;
+
+				while ( i-- ) {
+					option = options[ i ];
+
+					/* eslint-disable no-cond-assign */
+
+					if ( option.selected =
+						jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1
+					) {
+						optionSet = true;
+					}
+
+					/* eslint-enable no-cond-assign */
+				}
+
+				// Force browsers to behave consistently when non-matching value is set
+				if ( !optionSet ) {
+					elem.selectedIndex = -1;
+				}
+				return values;
+			}
+		}
+	}
+} );
+
+// Radios and checkboxes getter/setter
+jQuery.each( [ "radio", "checkbox" ], function() {
+	jQuery.valHooks[ this ] = {
+		set: function( elem, value ) {
+			if ( Array.isArray( value ) ) {
+				return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 );
+			}
+		}
+	};
+	if ( !support.checkOn ) {
+		jQuery.valHooks[ this ].get = function( elem ) {
+			return elem.getAttribute( "value" ) === null ? "on" : elem.value;
+		};
+	}
+} );
+
+
+
+
+// Return jQuery for attributes-only inclusion
+
+
+support.focusin = "onfocusin" in window;
+
+
+var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/,
+	stopPropagationCallback = function( e ) {
+		e.stopPropagation();
+	};
+
+jQuery.extend( jQuery.event, {
+
+	trigger: function( event, data, elem, onlyHandlers ) {
+
+		var i, cur, tmp, bubbleType, ontype, handle, special, lastElement,
+			eventPath = [ elem || document ],
+			type = hasOwn.call( event, "type" ) ? event.type : event,
+			namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : [];
+
+		cur = lastElement = tmp = elem = elem || document;
+
+		// Don't do events on text and comment nodes
+		if ( elem.nodeType === 3 || elem.nodeType === 8 ) {
+			return;
+		}
+
+		// focus/blur morphs to focusin/out; ensure we're not firing them right now
+		if ( rfocusMorph.test( type + jQuery.event.triggered ) ) {
+			return;
+		}
+
+		if ( type.indexOf( "." ) > -1 ) {
+
+			// Namespaced trigger; create a regexp to match event type in handle()
+			namespaces = type.split( "." );
+			type = namespaces.shift();
+			namespaces.sort();
+		}
+		ontype = type.indexOf( ":" ) < 0 && "on" + type;
+
+		// Caller can pass in a jQuery.Event object, Object, or just an event type string
+		event = event[ jQuery.expando ] ?
+			event :
+			new jQuery.Event( type, typeof event === "object" && event );
+
+		// Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true)
+		event.isTrigger = onlyHandlers ? 2 : 3;
+		event.namespace = namespaces.join( "." );
+		event.rnamespace = event.namespace ?
+			new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) :
+			null;
+
+		// Clean up the event in case it is being reused
+		event.result = undefined;
+		if ( !event.target ) {
+			event.target = elem;
+		}
+
+		// Clone any incoming data and prepend the event, creating the handler arg list
+		data = data == null ?
+			[ event ] :
+			jQuery.makeArray( data, [ event ] );
+
+		// Allow special events to draw outside the lines
+		special = jQuery.event.special[ type ] || {};
+		if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) {
+			return;
+		}
+
+		// Determine event propagation path in advance, per W3C events spec (#9951)
+		// Bubble up to document, then to window; watch for a global ownerDocument var (#9724)
+		if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) {
+
+			bubbleType = special.delegateType || type;
+			if ( !rfocusMorph.test( bubbleType + type ) ) {
+				cur = cur.parentNode;
+			}
+			for ( ; cur; cur = cur.parentNode ) {
+				eventPath.push( cur );
+				tmp = cur;
+			}
+
+			// Only add window if we got to document (e.g., not plain obj or detached DOM)
+			if ( tmp === ( elem.ownerDocument || document ) ) {
+				eventPath.push( tmp.defaultView || tmp.parentWindow || window );
+			}
+		}
+
+		// Fire handlers on the event path
+		i = 0;
+		while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) {
+			lastElement = cur;
+			event.type = i > 1 ?
+				bubbleType :
+				special.bindType || type;
+
+			// jQuery handler
+			handle = ( dataPriv.get( cur, "events" ) || Object.create( null ) )[ event.type ] &&
+				dataPriv.get( cur, "handle" );
+			if ( handle ) {
+				handle.apply( cur, data );
+			}
+
+			// Native handler
+			handle = ontype && cur[ ontype ];
+			if ( handle && handle.apply && acceptData( cur ) ) {
+				event.result = handle.apply( cur, data );
+				if ( event.result === false ) {
+					event.preventDefault();
+				}
+			}
+		}
+		event.type = type;
+
+		// If nobody prevented the default action, do it now
+		if ( !onlyHandlers && !event.isDefaultPrevented() ) {
+
+			if ( ( !special._default ||
+				special._default.apply( eventPath.pop(), data ) === false ) &&
+				acceptData( elem ) ) {
+
+				// Call a native DOM method on the target with the same name as the event.
+				// Don't do default actions on window, that's where global variables be (#6170)
+				if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) {
+
+					// Don't re-trigger an onFOO event when we call its FOO() method
+					tmp = elem[ ontype ];
+
+					if ( tmp ) {
+						elem[ ontype ] = null;
+					}
+
+					// Prevent re-triggering of the same event, since we already bubbled it above
+					jQuery.event.triggered = type;
+
+					if ( event.isPropagationStopped() ) {
+						lastElement.addEventListener( type, stopPropagationCallback );
+					}
+
+					elem[ type ]();
+
+					if ( event.isPropagationStopped() ) {
+						lastElement.removeEventListener( type, stopPropagationCallback );
+					}
+
+					jQuery.event.triggered = undefined;
+
+					if ( tmp ) {
+						elem[ ontype ] = tmp;
+					}
+				}
+			}
+		}
+
+		return event.result;
+	},
+
+	// Piggyback on a donor event to simulate a different one
+	// Used only for `focus(in | out)` events
+	simulate: function( type, elem, event ) {
+		var e = jQuery.extend(
+			new jQuery.Event(),
+			event,
+			{
+				type: type,
+				isSimulated: true
+			}
+		);
+
+		jQuery.event.trigger( e, null, elem );
+	}
+
+} );
+
+jQuery.fn.extend( {
+
+	trigger: function( type, data ) {
+		return this.each( function() {
+			jQuery.event.trigger( type, data, this );
+		} );
+	},
+	triggerHandler: function( type, data ) {
+		var elem = this[ 0 ];
+		if ( elem ) {
+			return jQuery.event.trigger( type, data, elem, true );
+		}
+	}
+} );
+
+
+// Support: Firefox <=44
+// Firefox doesn't have focus(in | out) events
+// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787
+//
+// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1
+// focus(in | out) events fire after focus & blur events,
+// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order
+// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857
+if ( !support.focusin ) {
+	jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) {
+
+		// Attach a single capturing handler on the document while someone wants focusin/focusout
+		var handler = function( event ) {
+			jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) );
+		};
+
+		jQuery.event.special[ fix ] = {
+			setup: function() {
+
+				// Handle: regular nodes (via `this.ownerDocument`), window
+				// (via `this.document`) & document (via `this`).
+				var doc = this.ownerDocument || this.document || this,
+					attaches = dataPriv.access( doc, fix );
+
+				if ( !attaches ) {
+					doc.addEventListener( orig, handler, true );
+				}
+				dataPriv.access( doc, fix, ( attaches || 0 ) + 1 );
+			},
+			teardown: function() {
+				var doc = this.ownerDocument || this.document || this,
+					attaches = dataPriv.access( doc, fix ) - 1;
+
+				if ( !attaches ) {
+					doc.removeEventListener( orig, handler, true );
+					dataPriv.remove( doc, fix );
+
+				} else {
+					dataPriv.access( doc, fix, attaches );
+				}
+			}
+		};
+	} );
+}
+var location = window.location;
+
+var nonce = { guid: Date.now() };
+
+var rquery = ( /\?/ );
+
+
+
+// Cross-browser xml parsing
+jQuery.parseXML = function( data ) {
+	var xml, parserErrorElem;
+	if ( !data || typeof data !== "string" ) {
+		return null;
+	}
+
+	// Support: IE 9 - 11 only
+	// IE throws on parseFromString with invalid input.
+	try {
+		xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" );
+	} catch ( e ) {}
+
+	parserErrorElem = xml && xml.getElementsByTagName( "parsererror" )[ 0 ];
+	if ( !xml || parserErrorElem ) {
+		jQuery.error( "Invalid XML: " + (
+			parserErrorElem ?
+				jQuery.map( parserErrorElem.childNodes, function( el ) {
+					return el.textContent;
+				} ).join( "\n" ) :
+				data
+		) );
+	}
+	return xml;
+};
+
+
+var
+	rbracket = /\[\]$/,
+	rCRLF = /\r?\n/g,
+	rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i,
+	rsubmittable = /^(?:input|select|textarea|keygen)/i;
+
+function buildParams( prefix, obj, traditional, add ) {
+	var name;
+
+	if ( Array.isArray( obj ) ) {
+
+		// Serialize array item.
+		jQuery.each( obj, function( i, v ) {
+			if ( traditional || rbracket.test( prefix ) ) {
+
+				// Treat each array item as a scalar.
+				add( prefix, v );
+
+			} else {
+
+				// Item is non-scalar (array or object), encode its numeric index.
+				buildParams(
+					prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]",
+					v,
+					traditional,
+					add
+				);
+			}
+		} );
+
+	} else if ( !traditional && toType( obj ) === "object" ) {
+
+		// Serialize object item.
+		for ( name in obj ) {
+			buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add );
+		}
+
+	} else {
+
+		// Serialize scalar item.
+		add( prefix, obj );
+	}
+}
+
+// Serialize an array of form elements or a set of
+// key/values into a query string
+jQuery.param = function( a, traditional ) {
+	var prefix,
+		s = [],
+		add = function( key, valueOrFunction ) {
+
+			// If value is a function, invoke it and use its return value
+			var value = isFunction( valueOrFunction ) ?
+				valueOrFunction() :
+				valueOrFunction;
+
+			s[ s.length ] = encodeURIComponent( key ) + "=" +
+				encodeURIComponent( value == null ? "" : value );
+		};
+
+	if ( a == null ) {
+		return "";
+	}
+
+	// If an array was passed in, assume that it is an array of form elements.
+	if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) {
+
+		// Serialize the form elements
+		jQuery.each( a, function() {
+			add( this.name, this.value );
+		} );
+
+	} else {
+
+		// If traditional, encode the "old" way (the way 1.3.2 or older
+		// did it), otherwise encode params recursively.
+		for ( prefix in a ) {
+			buildParams( prefix, a[ prefix ], traditional, add );
+		}
+	}
+
+	// Return the resulting serialization
+	return s.join( "&" );
+};
+
+jQuery.fn.extend( {
+	serialize: function() {
+		return jQuery.param( this.serializeArray() );
+	},
+	serializeArray: function() {
+		return this.map( function() {
+
+			// Can add propHook for "elements" to filter or add form elements
+			var elements = jQuery.prop( this, "elements" );
+			return elements ? jQuery.makeArray( elements ) : this;
+		} ).filter( function() {
+			var type = this.type;
+
+			// Use .is( ":disabled" ) so that fieldset[disabled] works
+			return this.name && !jQuery( this ).is( ":disabled" ) &&
+				rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) &&
+				( this.checked || !rcheckableType.test( type ) );
+		} ).map( function( _i, elem ) {
+			var val = jQuery( this ).val();
+
+			if ( val == null ) {
+				return null;
+			}
+
+			if ( Array.isArray( val ) ) {
+				return jQuery.map( val, function( val ) {
+					return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+				} );
+			}
+
+			return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+		} ).get();
+	}
+} );
+
+
+var
+	r20 = /%20/g,
+	rhash = /#.*$/,
+	rantiCache = /([?&])_=[^&]*/,
+	rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg,
+
+	// #7653, #8125, #8152: local protocol detection
+	rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/,
+	rnoContent = /^(?:GET|HEAD)$/,
+	rprotocol = /^\/\//,
+
+	/* Prefilters
+	 * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example)
+	 * 2) These are called:
+	 *    - BEFORE asking for a transport
+	 *    - AFTER param serialization (s.data is a string if s.processData is true)
+	 * 3) key is the dataType
+	 * 4) the catchall symbol "*" can be used
+	 * 5) execution will start with transport dataType and THEN continue down to "*" if needed
+	 */
+	prefilters = {},
+
+	/* Transports bindings
+	 * 1) key is the dataType
+	 * 2) the catchall symbol "*" can be used
+	 * 3) selection will start with transport dataType and THEN go to "*" if needed
+	 */
+	transports = {},
+
+	// Avoid comment-prolog char sequence (#10098); must appease lint and evade compression
+	allTypes = "*/".concat( "*" ),
+
+	// Anchor tag for parsing the document origin
+	originAnchor = document.createElement( "a" );
+
+originAnchor.href = location.href;
+
+// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport
+function addToPrefiltersOrTransports( structure ) {
+
+	// dataTypeExpression is optional and defaults to "*"
+	return function( dataTypeExpression, func ) {
+
+		if ( typeof dataTypeExpression !== "string" ) {
+			func = dataTypeExpression;
+			dataTypeExpression = "*";
+		}
+
+		var dataType,
+			i = 0,
+			dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || [];
+
+		if ( isFunction( func ) ) {
+
+			// For each dataType in the dataTypeExpression
+			while ( ( dataType = dataTypes[ i++ ] ) ) {
+
+				// Prepend if requested
+				if ( dataType[ 0 ] === "+" ) {
+					dataType = dataType.slice( 1 ) || "*";
+					( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func );
+
+				// Otherwise append
+				} else {
+					( structure[ dataType ] = structure[ dataType ] || [] ).push( func );
+				}
+			}
+		}
+	};
+}
+
+// Base inspection function for prefilters and transports
+function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) {
+
+	var inspected = {},
+		seekingTransport = ( structure === transports );
+
+	function inspect( dataType ) {
+		var selected;
+		inspected[ dataType ] = true;
+		jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) {
+			var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR );
+			if ( typeof dataTypeOrTransport === "string" &&
+				!seekingTransport && !inspected[ dataTypeOrTransport ] ) {
+
+				options.dataTypes.unshift( dataTypeOrTransport );
+				inspect( dataTypeOrTransport );
+				return false;
+			} else if ( seekingTransport ) {
+				return !( selected = dataTypeOrTransport );
+			}
+		} );
+		return selected;
+	}
+
+	return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" );
+}
+
+// A special extend for ajax options
+// that takes "flat" options (not to be deep extended)
+// Fixes #9887
+function ajaxExtend( target, src ) {
+	var key, deep,
+		flatOptions = jQuery.ajaxSettings.flatOptions || {};
+
+	for ( key in src ) {
+		if ( src[ key ] !== undefined ) {
+			( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ];
+		}
+	}
+	if ( deep ) {
+		jQuery.extend( true, target, deep );
+	}
+
+	return target;
+}
+
+/* Handles responses to an ajax request:
+ * - finds the right dataType (mediates between content-type and expected dataType)
+ * - returns the corresponding response
+ */
+function ajaxHandleResponses( s, jqXHR, responses ) {
+
+	var ct, type, finalDataType, firstDataType,
+		contents = s.contents,
+		dataTypes = s.dataTypes;
+
+	// Remove auto dataType and get content-type in the process
+	while ( dataTypes[ 0 ] === "*" ) {
+		dataTypes.shift();
+		if ( ct === undefined ) {
+			ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" );
+		}
+	}
+
+	// Check if we're dealing with a known content-type
+	if ( ct ) {
+		for ( type in contents ) {
+			if ( contents[ type ] && contents[ type ].test( ct ) ) {
+				dataTypes.unshift( type );
+				break;
+			}
+		}
+	}
+
+	// Check to see if we have a response for the expected dataType
+	if ( dataTypes[ 0 ] in responses ) {
+		finalDataType = dataTypes[ 0 ];
+	} else {
+
+		// Try convertible dataTypes
+		for ( type in responses ) {
+			if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) {
+				finalDataType = type;
+				break;
+			}
+			if ( !firstDataType ) {
+				firstDataType = type;
+			}
+		}
+
+		// Or just use first one
+		finalDataType = finalDataType || firstDataType;
+	}
+
+	// If we found a dataType
+	// We add the dataType to the list if needed
+	// and return the corresponding response
+	if ( finalDataType ) {
+		if ( finalDataType !== dataTypes[ 0 ] ) {
+			dataTypes.unshift( finalDataType );
+		}
+		return responses[ finalDataType ];
+	}
+}
+
+/* Chain conversions given the request and the original response
+ * Also sets the responseXXX fields on the jqXHR instance
+ */
+function ajaxConvert( s, response, jqXHR, isSuccess ) {
+	var conv2, current, conv, tmp, prev,
+		converters = {},
+
+		// Work with a copy of dataTypes in case we need to modify it for conversion
+		dataTypes = s.dataTypes.slice();
+
+	// Create converters map with lowercased keys
+	if ( dataTypes[ 1 ] ) {
+		for ( conv in s.converters ) {
+			converters[ conv.toLowerCase() ] = s.converters[ conv ];
+		}
+	}
+
+	current = dataTypes.shift();
+
+	// Convert to each sequential dataType
+	while ( current ) {
+
+		if ( s.responseFields[ current ] ) {
+			jqXHR[ s.responseFields[ current ] ] = response;
+		}
+
+		// Apply the dataFilter if provided
+		if ( !prev && isSuccess && s.dataFilter ) {
+			response = s.dataFilter( response, s.dataType );
+		}
+
+		prev = current;
+		current = dataTypes.shift();
+
+		if ( current ) {
+
+			// There's only work to do if current dataType is non-auto
+			if ( current === "*" ) {
+
+				current = prev;
+
+			// Convert response if prev dataType is non-auto and differs from current
+			} else if ( prev !== "*" && prev !== current ) {
+
+				// Seek a direct converter
+				conv = converters[ prev + " " + current ] || converters[ "* " + current ];
+
+				// If none found, seek a pair
+				if ( !conv ) {
+					for ( conv2 in converters ) {
+
+						// If conv2 outputs current
+						tmp = conv2.split( " " );
+						if ( tmp[ 1 ] === current ) {
+
+							// If prev can be converted to accepted input
+							conv = converters[ prev + " " + tmp[ 0 ] ] ||
+								converters[ "* " + tmp[ 0 ] ];
+							if ( conv ) {
+
+								// Condense equivalence converters
+								if ( conv === true ) {
+									conv = converters[ conv2 ];
+
+								// Otherwise, insert the intermediate dataType
+								} else if ( converters[ conv2 ] !== true ) {
+									current = tmp[ 0 ];
+									dataTypes.unshift( tmp[ 1 ] );
+								}
+								break;
+							}
+						}
+					}
+				}
+
+				// Apply converter (if not an equivalence)
+				if ( conv !== true ) {
+
+					// Unless errors are allowed to bubble, catch and return them
+					if ( conv && s.throws ) {
+						response = conv( response );
+					} else {
+						try {
+							response = conv( response );
+						} catch ( e ) {
+							return {
+								state: "parsererror",
+								error: conv ? e : "No conversion from " + prev + " to " + current
+							};
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return { state: "success", data: response };
+}
+
+jQuery.extend( {
+
+	// Counter for holding the number of active queries
+	active: 0,
+
+	// Last-Modified header cache for next request
+	lastModified: {},
+	etag: {},
+
+	ajaxSettings: {
+		url: location.href,
+		type: "GET",
+		isLocal: rlocalProtocol.test( location.protocol ),
+		global: true,
+		processData: true,
+		async: true,
+		contentType: "application/x-www-form-urlencoded; charset=UTF-8",
+
+		/*
+		timeout: 0,
+		data: null,
+		dataType: null,
+		username: null,
+		password: null,
+		cache: null,
+		throws: false,
+		traditional: false,
+		headers: {},
+		*/
+
+		accepts: {
+			"*": allTypes,
+			text: "text/plain",
+			html: "text/html",
+			xml: "application/xml, text/xml",
+			json: "application/json, text/javascript"
+		},
+
+		contents: {
+			xml: /\bxml\b/,
+			html: /\bhtml/,
+			json: /\bjson\b/
+		},
+
+		responseFields: {
+			xml: "responseXML",
+			text: "responseText",
+			json: "responseJSON"
+		},
+
+		// Data converters
+		// Keys separate source (or catchall "*") and destination types with a single space
+		converters: {
+
+			// Convert anything to text
+			"* text": String,
+
+			// Text to html (true = no transformation)
+			"text html": true,
+
+			// Evaluate text as a json expression
+			"text json": JSON.parse,
+
+			// Parse text as xml
+			"text xml": jQuery.parseXML
+		},
+
+		// For options that shouldn't be deep extended:
+		// you can add your own custom options here if
+		// and when you create one that shouldn't be
+		// deep extended (see ajaxExtend)
+		flatOptions: {
+			url: true,
+			context: true
+		}
+	},
+
+	// Creates a full fledged settings object into target
+	// with both ajaxSettings and settings fields.
+	// If target is omitted, writes into ajaxSettings.
+	ajaxSetup: function( target, settings ) {
+		return settings ?
+
+			// Building a settings object
+			ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) :
+
+			// Extending ajaxSettings
+			ajaxExtend( jQuery.ajaxSettings, target );
+	},
+
+	ajaxPrefilter: addToPrefiltersOrTransports( prefilters ),
+	ajaxTransport: addToPrefiltersOrTransports( transports ),
+
+	// Main method
+	ajax: function( url, options ) {
+
+		// If url is an object, simulate pre-1.5 signature
+		if ( typeof url === "object" ) {
+			options = url;
+			url = undefined;
+		}
+
+		// Force options to be an object
+		options = options || {};
+
+		var transport,
+
+			// URL without anti-cache param
+			cacheURL,
+
+			// Response headers
+			responseHeadersString,
+			responseHeaders,
+
+			// timeout handle
+			timeoutTimer,
+
+			// Url cleanup var
+			urlAnchor,
+
+			// Request state (becomes false upon send and true upon completion)
+			completed,
+
+			// To know if global events are to be dispatched
+			fireGlobals,
+
+			// Loop variable
+			i,
+
+			// uncached part of the url
+			uncached,
+
+			// Create the final options object
+			s = jQuery.ajaxSetup( {}, options ),
+
+			// Callbacks context
+			callbackContext = s.context || s,
+
+			// Context for global events is callbackContext if it is a DOM node or jQuery collection
+			globalEventContext = s.context &&
+				( callbackContext.nodeType || callbackContext.jquery ) ?
+				jQuery( callbackContext ) :
+				jQuery.event,
+
+			// Deferreds
+			deferred = jQuery.Deferred(),
+			completeDeferred = jQuery.Callbacks( "once memory" ),
+
+			// Status-dependent callbacks
+			statusCode = s.statusCode || {},
+
+			// Headers (they are sent all at once)
+			requestHeaders = {},
+			requestHeadersNames = {},
+
+			// Default abort message
+			strAbort = "canceled",
+
+			// Fake xhr
+			jqXHR = {
+				readyState: 0,
+
+				// Builds headers hashtable if needed
+				getResponseHeader: function( key ) {
+					var match;
+					if ( completed ) {
+						if ( !responseHeaders ) {
+							responseHeaders = {};
+							while ( ( match = rheaders.exec( responseHeadersString ) ) ) {
+								responseHeaders[ match[ 1 ].toLowerCase() + " " ] =
+									( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] )
+										.concat( match[ 2 ] );
+							}
+						}
+						match = responseHeaders[ key.toLowerCase() + " " ];
+					}
+					return match == null ? null : match.join( ", " );
+				},
+
+				// Raw string
+				getAllResponseHeaders: function() {
+					return completed ? responseHeadersString : null;
+				},
+
+				// Caches the header
+				setRequestHeader: function( name, value ) {
+					if ( completed == null ) {
+						name = requestHeadersNames[ name.toLowerCase() ] =
+							requestHeadersNames[ name.toLowerCase() ] || name;
+						requestHeaders[ name ] = value;
+					}
+					return this;
+				},
+
+				// Overrides response content-type header
+				overrideMimeType: function( type ) {
+					if ( completed == null ) {
+						s.mimeType = type;
+					}
+					return this;
+				},
+
+				// Status-dependent callbacks
+				statusCode: function( map ) {
+					var code;
+					if ( map ) {
+						if ( completed ) {
+
+							// Execute the appropriate callbacks
+							jqXHR.always( map[ jqXHR.status ] );
+						} else {
+
+							// Lazy-add the new callbacks in a way that preserves old ones
+							for ( code in map ) {
+								statusCode[ code ] = [ statusCode[ code ], map[ code ] ];
+							}
+						}
+					}
+					return this;
+				},
+
+				// Cancel the request
+				abort: function( statusText ) {
+					var finalText = statusText || strAbort;
+					if ( transport ) {
+						transport.abort( finalText );
+					}
+					done( 0, finalText );
+					return this;
+				}
+			};
+
+		// Attach deferreds
+		deferred.promise( jqXHR );
+
+		// Add protocol if not provided (prefilters might expect it)
+		// Handle falsy url in the settings object (#10093: consistency with old signature)
+		// We also use the url parameter if available
+		s.url = ( ( url || s.url || location.href ) + "" )
+			.replace( rprotocol, location.protocol + "//" );
+
+		// Alias method option to type as per ticket #12004
+		s.type = options.method || options.type || s.method || s.type;
+
+		// Extract dataTypes list
+		s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ];
+
+		// A cross-domain request is in order when the origin doesn't match the current origin.
+		if ( s.crossDomain == null ) {
+			urlAnchor = document.createElement( "a" );
+
+			// Support: IE <=8 - 11, Edge 12 - 15
+			// IE throws exception on accessing the href property if url is malformed,
+			// e.g. http://example.com:80x/
+			try {
+				urlAnchor.href = s.url;
+
+				// Support: IE <=8 - 11 only
+				// Anchor's host property isn't correctly set when s.url is relative
+				urlAnchor.href = urlAnchor.href;
+				s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !==
+					urlAnchor.protocol + "//" + urlAnchor.host;
+			} catch ( e ) {
+
+				// If there is an error parsing the URL, assume it is crossDomain,
+				// it can be rejected by the transport if it is invalid
+				s.crossDomain = true;
+			}
+		}
+
+		// Convert data if not already a string
+		if ( s.data && s.processData && typeof s.data !== "string" ) {
+			s.data = jQuery.param( s.data, s.traditional );
+		}
+
+		// Apply prefilters
+		inspectPrefiltersOrTransports( prefilters, s, options, jqXHR );
+
+		// If request was aborted inside a prefilter, stop there
+		if ( completed ) {
+			return jqXHR;
+		}
+
+		// We can fire global events as of now if asked to
+		// Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118)
+		fireGlobals = jQuery.event && s.global;
+
+		// Watch for a new set of requests
+		if ( fireGlobals && jQuery.active++ === 0 ) {
+			jQuery.event.trigger( "ajaxStart" );
+		}
+
+		// Uppercase the type
+		s.type = s.type.toUpperCase();
+
+		// Determine if request has content
+		s.hasContent = !rnoContent.test( s.type );
+
+		// Save the URL in case we're toying with the If-Modified-Since
+		// and/or If-None-Match header later on
+		// Remove hash to simplify url manipulation
+		cacheURL = s.url.replace( rhash, "" );
+
+		// More options handling for requests with no content
+		if ( !s.hasContent ) {
+
+			// Remember the hash so we can put it back
+			uncached = s.url.slice( cacheURL.length );
+
+			// If data is available and should be processed, append data to url
+			if ( s.data && ( s.processData || typeof s.data === "string" ) ) {
+				cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data;
+
+				// #9682: remove data so that it's not used in an eventual retry
+				delete s.data;
+			}
+
+			// Add or update anti-cache param if needed
+			if ( s.cache === false ) {
+				cacheURL = cacheURL.replace( rantiCache, "$1" );
+				uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) +
+					uncached;
+			}
+
+			// Put hash and anti-cache on the URL that will be requested (gh-1732)
+			s.url = cacheURL + uncached;
+
+		// Change '%20' to '+' if this is encoded form body content (gh-2658)
+		} else if ( s.data && s.processData &&
+			( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) {
+			s.data = s.data.replace( r20, "+" );
+		}
+
+		// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+		if ( s.ifModified ) {
+			if ( jQuery.lastModified[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] );
+			}
+			if ( jQuery.etag[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] );
+			}
+		}
+
+		// Set the correct header, if data is being sent
+		if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) {
+			jqXHR.setRequestHeader( "Content-Type", s.contentType );
+		}
+
+		// Set the Accepts header for the server, depending on the dataType
+		jqXHR.setRequestHeader(
+			"Accept",
+			s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ?
+				s.accepts[ s.dataTypes[ 0 ] ] +
+					( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) :
+				s.accepts[ "*" ]
+		);
+
+		// Check for headers option
+		for ( i in s.headers ) {
+			jqXHR.setRequestHeader( i, s.headers[ i ] );
+		}
+
+		// Allow custom headers/mimetypes and early abort
+		if ( s.beforeSend &&
+			( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) {
+
+			// Abort if not done already and return
+			return jqXHR.abort();
+		}
+
+		// Aborting is no longer a cancellation
+		strAbort = "abort";
+
+		// Install callbacks on deferreds
+		completeDeferred.add( s.complete );
+		jqXHR.done( s.success );
+		jqXHR.fail( s.error );
+
+		// Get transport
+		transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR );
+
+		// If no transport, we auto-abort
+		if ( !transport ) {
+			done( -1, "No Transport" );
+		} else {
+			jqXHR.readyState = 1;
+
+			// Send global event
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] );
+			}
+
+			// If request was aborted inside ajaxSend, stop there
+			if ( completed ) {
+				return jqXHR;
+			}
+
+			// Timeout
+			if ( s.async && s.timeout > 0 ) {
+				timeoutTimer = window.setTimeout( function() {
+					jqXHR.abort( "timeout" );
+				}, s.timeout );
+			}
+
+			try {
+				completed = false;
+				transport.send( requestHeaders, done );
+			} catch ( e ) {
+
+				// Rethrow post-completion exceptions
+				if ( completed ) {
+					throw e;
+				}
+
+				// Propagate others as results
+				done( -1, e );
+			}
+		}
+
+		// Callback for when everything is done
+		function done( status, nativeStatusText, responses, headers ) {
+			var isSuccess, success, error, response, modified,
+				statusText = nativeStatusText;
+
+			// Ignore repeat invocations
+			if ( completed ) {
+				return;
+			}
+
+			completed = true;
+
+			// Clear timeout if it exists
+			if ( timeoutTimer ) {
+				window.clearTimeout( timeoutTimer );
+			}
+
+			// Dereference transport for early garbage collection
+			// (no matter how long the jqXHR object will be used)
+			transport = undefined;
+
+			// Cache response headers
+			responseHeadersString = headers || "";
+
+			// Set readyState
+			jqXHR.readyState = status > 0 ? 4 : 0;
+
+			// Determine if successful
+			isSuccess = status >= 200 && status < 300 || status === 304;
+
+			// Get response data
+			if ( responses ) {
+				response = ajaxHandleResponses( s, jqXHR, responses );
+			}
+
+			// Use a noop converter for missing script but not if jsonp
+			if ( !isSuccess &&
+				jQuery.inArray( "script", s.dataTypes ) > -1 &&
+				jQuery.inArray( "json", s.dataTypes ) < 0 ) {
+				s.converters[ "text script" ] = function() {};
+			}
+
+			// Convert no matter what (that way responseXXX fields are always set)
+			response = ajaxConvert( s, response, jqXHR, isSuccess );
+
+			// If successful, handle type chaining
+			if ( isSuccess ) {
+
+				// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+				if ( s.ifModified ) {
+					modified = jqXHR.getResponseHeader( "Last-Modified" );
+					if ( modified ) {
+						jQuery.lastModified[ cacheURL ] = modified;
+					}
+					modified = jqXHR.getResponseHeader( "etag" );
+					if ( modified ) {
+						jQuery.etag[ cacheURL ] = modified;
+					}
+				}
+
+				// if no content
+				if ( status === 204 || s.type === "HEAD" ) {
+					statusText = "nocontent";
+
+				// if not modified
+				} else if ( status === 304 ) {
+					statusText = "notmodified";
+
+				// If we have data, let's convert it
+				} else {
+					statusText = response.state;
+					success = response.data;
+					error = response.error;
+					isSuccess = !error;
+				}
+			} else {
+
+				// Extract error from statusText and normalize for non-aborts
+				error = statusText;
+				if ( status || !statusText ) {
+					statusText = "error";
+					if ( status < 0 ) {
+						status = 0;
+					}
+				}
+			}
+
+			// Set data for the fake xhr object
+			jqXHR.status = status;
+			jqXHR.statusText = ( nativeStatusText || statusText ) + "";
+
+			// Success/Error
+			if ( isSuccess ) {
+				deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] );
+			} else {
+				deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] );
+			}
+
+			// Status-dependent callbacks
+			jqXHR.statusCode( statusCode );
+			statusCode = undefined;
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError",
+					[ jqXHR, s, isSuccess ? success : error ] );
+			}
+
+			// Complete
+			completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] );
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] );
+
+				// Handle the global AJAX counter
+				if ( !( --jQuery.active ) ) {
+					jQuery.event.trigger( "ajaxStop" );
+				}
+			}
+		}
+
+		return jqXHR;
+	},
+
+	getJSON: function( url, data, callback ) {
+		return jQuery.get( url, data, callback, "json" );
+	},
+
+	getScript: function( url, callback ) {
+		return jQuery.get( url, undefined, callback, "script" );
+	}
+} );
+
+jQuery.each( [ "get", "post" ], function( _i, method ) {
+	jQuery[ method ] = function( url, data, callback, type ) {
+
+		// Shift arguments if data argument was omitted
+		if ( isFunction( data ) ) {
+			type = type || callback;
+			callback = data;
+			data = undefined;
+		}
+
+		// The url can be an options object (which then must have .url)
+		return jQuery.ajax( jQuery.extend( {
+			url: url,
+			type: method,
+			dataType: type,
+			data: data,
+			success: callback
+		}, jQuery.isPlainObject( url ) && url ) );
+	};
+} );
+
+jQuery.ajaxPrefilter( function( s ) {
+	var i;
+	for ( i in s.headers ) {
+		if ( i.toLowerCase() === "content-type" ) {
+			s.contentType = s.headers[ i ] || "";
+		}
+	}
+} );
+
+
+jQuery._evalUrl = function( url, options, doc ) {
+	return jQuery.ajax( {
+		url: url,
+
+		// Make this explicit, since user can override this through ajaxSetup (#11264)
+		type: "GET",
+		dataType: "script",
+		cache: true,
+		async: false,
+		global: false,
+
+		// Only evaluate the response if it is successful (gh-4126)
+		// dataFilter is not invoked for failure responses, so using it instead
+		// of the default converter is kludgy but it works.
+		converters: {
+			"text script": function() {}
+		},
+		dataFilter: function( response ) {
+			jQuery.globalEval( response, options, doc );
+		}
+	} );
+};
+
+
+jQuery.fn.extend( {
+	wrapAll: function( html ) {
+		var wrap;
+
+		if ( this[ 0 ] ) {
+			if ( isFunction( html ) ) {
+				html = html.call( this[ 0 ] );
+			}
+
+			// The elements to wrap the target around
+			wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true );
+
+			if ( this[ 0 ].parentNode ) {
+				wrap.insertBefore( this[ 0 ] );
+			}
+
+			wrap.map( function() {
+				var elem = this;
+
+				while ( elem.firstElementChild ) {
+					elem = elem.firstElementChild;
+				}
+
+				return elem;
+			} ).append( this );
+		}
+
+		return this;
+	},
+
+	wrapInner: function( html ) {
+		if ( isFunction( html ) ) {
+			return this.each( function( i ) {
+				jQuery( this ).wrapInner( html.call( this, i ) );
+			} );
+		}
+
+		return this.each( function() {
+			var self = jQuery( this ),
+				contents = self.contents();
+
+			if ( contents.length ) {
+				contents.wrapAll( html );
+
+			} else {
+				self.append( html );
+			}
+		} );
+	},
+
+	wrap: function( html ) {
+		var htmlIsFunction = isFunction( html );
+
+		return this.each( function( i ) {
+			jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html );
+		} );
+	},
+
+	unwrap: function( selector ) {
+		this.parent( selector ).not( "body" ).each( function() {
+			jQuery( this ).replaceWith( this.childNodes );
+		} );
+		return this;
+	}
+} );
+
+
+jQuery.expr.pseudos.hidden = function( elem ) {
+	return !jQuery.expr.pseudos.visible( elem );
+};
+jQuery.expr.pseudos.visible = function( elem ) {
+	return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length );
+};
+
+
+
+
+jQuery.ajaxSettings.xhr = function() {
+	try {
+		return new window.XMLHttpRequest();
+	} catch ( e ) {}
+};
+
+var xhrSuccessStatus = {
+
+		// File protocol always yields status code 0, assume 200
+		0: 200,
+
+		// Support: IE <=9 only
+		// #1450: sometimes IE returns 1223 when it should be 204
+		1223: 204
+	},
+	xhrSupported = jQuery.ajaxSettings.xhr();
+
+support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported );
+support.ajax = xhrSupported = !!xhrSupported;
+
+jQuery.ajaxTransport( function( options ) {
+	var callback, errorCallback;
+
+	// Cross domain only allowed if supported through XMLHttpRequest
+	if ( support.cors || xhrSupported && !options.crossDomain ) {
+		return {
+			send: function( headers, complete ) {
+				var i,
+					xhr = options.xhr();
+
+				xhr.open(
+					options.type,
+					options.url,
+					options.async,
+					options.username,
+					options.password
+				);
+
+				// Apply custom fields if provided
+				if ( options.xhrFields ) {
+					for ( i in options.xhrFields ) {
+						xhr[ i ] = options.xhrFields[ i ];
+					}
+				}
+
+				// Override mime type if needed
+				if ( options.mimeType && xhr.overrideMimeType ) {
+					xhr.overrideMimeType( options.mimeType );
+				}
+
+				// X-Requested-With header
+				// For cross-domain requests, seeing as conditions for a preflight are
+				// akin to a jigsaw puzzle, we simply never set it to be sure.
+				// (it can always be set on a per-request basis or even using ajaxSetup)
+				// For same-domain requests, won't change header if already provided.
+				if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) {
+					headers[ "X-Requested-With" ] = "XMLHttpRequest";
+				}
+
+				// Set headers
+				for ( i in headers ) {
+					xhr.setRequestHeader( i, headers[ i ] );
+				}
+
+				// Callback
+				callback = function( type ) {
+					return function() {
+						if ( callback ) {
+							callback = errorCallback = xhr.onload =
+								xhr.onerror = xhr.onabort = xhr.ontimeout =
+									xhr.onreadystatechange = null;
+
+							if ( type === "abort" ) {
+								xhr.abort();
+							} else if ( type === "error" ) {
+
+								// Support: IE <=9 only
+								// On a manual native abort, IE9 throws
+								// errors on any property access that is not readyState
+								if ( typeof xhr.status !== "number" ) {
+									complete( 0, "error" );
+								} else {
+									complete(
+
+										// File: protocol always yields status 0; see #8605, #14207
+										xhr.status,
+										xhr.statusText
+									);
+								}
+							} else {
+								complete(
+									xhrSuccessStatus[ xhr.status ] || xhr.status,
+									xhr.statusText,
+
+									// Support: IE <=9 only
+									// IE9 has no XHR2 but throws on binary (trac-11426)
+									// For XHR2 non-text, let the caller handle it (gh-2498)
+									( xhr.responseType || "text" ) !== "text"  ||
+									typeof xhr.responseText !== "string" ?
+										{ binary: xhr.response } :
+										{ text: xhr.responseText },
+									xhr.getAllResponseHeaders()
+								);
+							}
+						}
+					};
+				};
+
+				// Listen to events
+				xhr.onload = callback();
+				errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" );
+
+				// Support: IE 9 only
+				// Use onreadystatechange to replace onabort
+				// to handle uncaught aborts
+				if ( xhr.onabort !== undefined ) {
+					xhr.onabort = errorCallback;
+				} else {
+					xhr.onreadystatechange = function() {
+
+						// Check readyState before timeout as it changes
+						if ( xhr.readyState === 4 ) {
+
+							// Allow onerror to be called first,
+							// but that will not handle a native abort
+							// Also, save errorCallback to a variable
+							// as xhr.onerror cannot be accessed
+							window.setTimeout( function() {
+								if ( callback ) {
+									errorCallback();
+								}
+							} );
+						}
+					};
+				}
+
+				// Create the abort callback
+				callback = callback( "abort" );
+
+				try {
+
+					// Do send the request (this may raise an exception)
+					xhr.send( options.hasContent && options.data || null );
+				} catch ( e ) {
+
+					// #14683: Only rethrow if this hasn't been notified as an error yet
+					if ( callback ) {
+						throw e;
+					}
+				}
+			},
+
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+} );
+
+
+
+
+// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432)
+jQuery.ajaxPrefilter( function( s ) {
+	if ( s.crossDomain ) {
+		s.contents.script = false;
+	}
+} );
+
+// Install script dataType
+jQuery.ajaxSetup( {
+	accepts: {
+		script: "text/javascript, application/javascript, " +
+			"application/ecmascript, application/x-ecmascript"
+	},
+	contents: {
+		script: /\b(?:java|ecma)script\b/
+	},
+	converters: {
+		"text script": function( text ) {
+			jQuery.globalEval( text );
+			return text;
+		}
+	}
+} );
+
+// Handle cache's special case and crossDomain
+jQuery.ajaxPrefilter( "script", function( s ) {
+	if ( s.cache === undefined ) {
+		s.cache = false;
+	}
+	if ( s.crossDomain ) {
+		s.type = "GET";
+	}
+} );
+
+// Bind script tag hack transport
+jQuery.ajaxTransport( "script", function( s ) {
+
+	// This transport only deals with cross domain or forced-by-attrs requests
+	if ( s.crossDomain || s.scriptAttrs ) {
+		var script, callback;
+		return {
+			send: function( _, complete ) {
+				script = jQuery( "<script>" )
+					.attr( s.scriptAttrs || {} )
+					.prop( { charset: s.scriptCharset, src: s.url } )
+					.on( "load error", callback = function( evt ) {
+						script.remove();
+						callback = null;
+						if ( evt ) {
+							complete( evt.type === "error" ? 404 : 200, evt.type );
+						}
+					} );
+
+				// Use native DOM manipulation to avoid our domManip AJAX trickery
+				document.head.appendChild( script[ 0 ] );
+			},
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+} );
+
+
+
+
+var oldCallbacks = [],
+	rjsonp = /(=)\?(?=&|$)|\?\?/;
+
+// Default jsonp settings
+jQuery.ajaxSetup( {
+	jsonp: "callback",
+	jsonpCallback: function() {
+		var callback = oldCallbacks.pop() || ( jQuery.expando + "_" + ( nonce.guid++ ) );
+		this[ callback ] = true;
+		return callback;
+	}
+} );
+
+// Detect, normalize options and install callbacks for jsonp requests
+jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) {
+
+	var callbackName, overwritten, responseContainer,
+		jsonProp = s.jsonp !== false && ( rjsonp.test( s.url ) ?
+			"url" :
+			typeof s.data === "string" &&
+				( s.contentType || "" )
+					.indexOf( "application/x-www-form-urlencoded" ) === 0 &&
+				rjsonp.test( s.data ) && "data"
+		);
+
+	// Handle iff the expected data type is "jsonp" or we have a parameter to set
+	if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) {
+
+		// Get callback name, remembering preexisting value associated with it
+		callbackName = s.jsonpCallback = isFunction( s.jsonpCallback ) ?
+			s.jsonpCallback() :
+			s.jsonpCallback;
+
+		// Insert callback into url or form data
+		if ( jsonProp ) {
+			s[ jsonProp ] = s[ jsonProp ].replace( rjsonp, "$1" + callbackName );
+		} else if ( s.jsonp !== false ) {
+			s.url += ( rquery.test( s.url ) ? "&" : "?" ) + s.jsonp + "=" + callbackName;
+		}
+
+		// Use data converter to retrieve json after script execution
+		s.converters[ "script json" ] = function() {
+			if ( !responseContainer ) {
+				jQuery.error( callbackName + " was not called" );
+			}
+			return responseContainer[ 0 ];
+		};
+
+		// Force json dataType
+		s.dataTypes[ 0 ] = "json";
+
+		// Install callback
+		overwritten = window[ callbackName ];
+		window[ callbackName ] = function() {
+			responseContainer = arguments;
+		};
+
+		// Clean-up function (fires after converters)
+		jqXHR.always( function() {
+
+			// If previous value didn't exist - remove it
+			if ( overwritten === undefined ) {
+				jQuery( window ).removeProp( callbackName );
+
+			// Otherwise restore preexisting value
+			} else {
+				window[ callbackName ] = overwritten;
+			}
+
+			// Save back as free
+			if ( s[ callbackName ] ) {
+
+				// Make sure that re-using the options doesn't screw things around
+				s.jsonpCallback = originalSettings.jsonpCallback;
+
+				// Save the callback name for future use
+				oldCallbacks.push( callbackName );
+			}
+
+			// Call if it was a function and we have a response
+			if ( responseContainer && isFunction( overwritten ) ) {
+				overwritten( responseContainer[ 0 ] );
+			}
+
+			responseContainer = overwritten = undefined;
+		} );
+
+		// Delegate to script
+		return "script";
+	}
+} );
+
+
+
+
+// Support: Safari 8 only
+// In Safari 8 documents created via document.implementation.createHTMLDocument
+// collapse sibling forms: the second one becomes a child of the first one.
+// Because of that, this security measure has to be disabled in Safari 8.
+// https://bugs.webkit.org/show_bug.cgi?id=137337
+support.createHTMLDocument = ( function() {
+	var body = document.implementation.createHTMLDocument( "" ).body;
+	body.innerHTML = "<form></form><form></form>";
+	return body.childNodes.length === 2;
+} )();
+
+
+// Argument "data" should be string of html
+// context (optional): If specified, the fragment will be created in this context,
+// defaults to document
+// keepScripts (optional): If true, will include scripts passed in the html string
+jQuery.parseHTML = function( data, context, keepScripts ) {
+	if ( typeof data !== "string" ) {
+		return [];
+	}
+	if ( typeof context === "boolean" ) {
+		keepScripts = context;
+		context = false;
+	}
+
+	var base, parsed, scripts;
+
+	if ( !context ) {
+
+		// Stop scripts or inline event handlers from being executed immediately
+		// by using document.implementation
+		if ( support.createHTMLDocument ) {
+			context = document.implementation.createHTMLDocument( "" );
+
+			// Set the base href for the created document
+			// so any parsed elements with URLs
+			// are based on the document's URL (gh-2965)
+			base = context.createElement( "base" );
+			base.href = document.location.href;
+			context.head.appendChild( base );
+		} else {
+			context = document;
+		}
+	}
+
+	parsed = rsingleTag.exec( data );
+	scripts = !keepScripts && [];
+
+	// Single tag
+	if ( parsed ) {
+		return [ context.createElement( parsed[ 1 ] ) ];
+	}
+
+	parsed = buildFragment( [ data ], context, scripts );
+
+	if ( scripts && scripts.length ) {
+		jQuery( scripts ).remove();
+	}
+
+	return jQuery.merge( [], parsed.childNodes );
+};
+
+
+/**
+ * Load a url into a page
+ */
+jQuery.fn.load = function( url, params, callback ) {
+	var selector, type, response,
+		self = this,
+		off = url.indexOf( " " );
+
+	if ( off > -1 ) {
+		selector = stripAndCollapse( url.slice( off ) );
+		url = url.slice( 0, off );
+	}
+
+	// If it's a function
+	if ( isFunction( params ) ) {
+
+		// We assume that it's the callback
+		callback = params;
+		params = undefined;
+
+	// Otherwise, build a param string
+	} else if ( params && typeof params === "object" ) {
+		type = "POST";
+	}
+
+	// If we have elements to modify, make the request
+	if ( self.length > 0 ) {
+		jQuery.ajax( {
+			url: url,
+
+			// If "type" variable is undefined, then "GET" method will be used.
+			// Make value of this field explicit since
+			// user can override it through ajaxSetup method
+			type: type || "GET",
+			dataType: "html",
+			data: params
+		} ).done( function( responseText ) {
+
+			// Save response for use in complete callback
+			response = arguments;
+
+			self.html( selector ?
+
+				// If a selector was specified, locate the right elements in a dummy div
+				// Exclude scripts to avoid IE 'Permission Denied' errors
+				jQuery( "<div>" ).append( jQuery.parseHTML( responseText ) ).find( selector ) :
+
+				// Otherwise use the full result
+				responseText );
+
+		// If the request succeeds, this function gets "data", "status", "jqXHR"
+		// but they are ignored because response was set above.
+		// If it fails, this function gets "jqXHR", "status", "error"
+		} ).always( callback && function( jqXHR, status ) {
+			self.each( function() {
+				callback.apply( this, response || [ jqXHR.responseText, status, jqXHR ] );
+			} );
+		} );
+	}
+
+	return this;
+};
+
+
+
+
+jQuery.expr.pseudos.animated = function( elem ) {
+	return jQuery.grep( jQuery.timers, function( fn ) {
+		return elem === fn.elem;
+	} ).length;
+};
+
+
+
+
+jQuery.offset = {
+	setOffset: function( elem, options, i ) {
+		var curPosition, curLeft, curCSSTop, curTop, curOffset, curCSSLeft, calculatePosition,
+			position = jQuery.css( elem, "position" ),
+			curElem = jQuery( elem ),
+			props = {};
+
+		// Set position first, in-case top/left are set even on static elem
+		if ( position === "static" ) {
+			elem.style.position = "relative";
+		}
+
+		curOffset = curElem.offset();
+		curCSSTop = jQuery.css( elem, "top" );
+		curCSSLeft = jQuery.css( elem, "left" );
+		calculatePosition = ( position === "absolute" || position === "fixed" ) &&
+			( curCSSTop + curCSSLeft ).indexOf( "auto" ) > -1;
+
+		// Need to be able to calculate position if either
+		// top or left is auto and position is either absolute or fixed
+		if ( calculatePosition ) {
+			curPosition = curElem.position();
+			curTop = curPosition.top;
+			curLeft = curPosition.left;
+
+		} else {
+			curTop = parseFloat( curCSSTop ) || 0;
+			curLeft = parseFloat( curCSSLeft ) || 0;
+		}
+
+		if ( isFunction( options ) ) {
+
+			// Use jQuery.extend here to allow modification of coordinates argument (gh-1848)
+			options = options.call( elem, i, jQuery.extend( {}, curOffset ) );
+		}
+
+		if ( options.top != null ) {
+			props.top = ( options.top - curOffset.top ) + curTop;
+		}
+		if ( options.left != null ) {
+			props.left = ( options.left - curOffset.left ) + curLeft;
+		}
+
+		if ( "using" in options ) {
+			options.using.call( elem, props );
+
+		} else {
+			curElem.css( props );
+		}
+	}
+};
+
+jQuery.fn.extend( {
+
+	// offset() relates an element's border box to the document origin
+	offset: function( options ) {
+
+		// Preserve chaining for setter
+		if ( arguments.length ) {
+			return options === undefined ?
+				this :
+				this.each( function( i ) {
+					jQuery.offset.setOffset( this, options, i );
+				} );
+		}
+
+		var rect, win,
+			elem = this[ 0 ];
+
+		if ( !elem ) {
+			return;
+		}
+
+		// Return zeros for disconnected and hidden (display: none) elements (gh-2310)
+		// Support: IE <=11 only
+		// Running getBoundingClientRect on a
+		// disconnected node in IE throws an error
+		if ( !elem.getClientRects().length ) {
+			return { top: 0, left: 0 };
+		}
+
+		// Get document-relative position by adding viewport scroll to viewport-relative gBCR
+		rect = elem.getBoundingClientRect();
+		win = elem.ownerDocument.defaultView;
+		return {
+			top: rect.top + win.pageYOffset,
+			left: rect.left + win.pageXOffset
+		};
+	},
+
+	// position() relates an element's margin box to its offset parent's padding box
+	// This corresponds to the behavior of CSS absolute positioning
+	position: function() {
+		if ( !this[ 0 ] ) {
+			return;
+		}
+
+		var offsetParent, offset, doc,
+			elem = this[ 0 ],
+			parentOffset = { top: 0, left: 0 };
+
+		// position:fixed elements are offset from the viewport, which itself always has zero offset
+		if ( jQuery.css( elem, "position" ) === "fixed" ) {
+
+			// Assume position:fixed implies availability of getBoundingClientRect
+			offset = elem.getBoundingClientRect();
+
+		} else {
+			offset = this.offset();
+
+			// Account for the *real* offset parent, which can be the document or its root element
+			// when a statically positioned element is identified
+			doc = elem.ownerDocument;
+			offsetParent = elem.offsetParent || doc.documentElement;
+			while ( offsetParent &&
+				( offsetParent === doc.body || offsetParent === doc.documentElement ) &&
+				jQuery.css( offsetParent, "position" ) === "static" ) {
+
+				offsetParent = offsetParent.parentNode;
+			}
+			if ( offsetParent && offsetParent !== elem && offsetParent.nodeType === 1 ) {
+
+				// Incorporate borders into its offset, since they are outside its content origin
+				parentOffset = jQuery( offsetParent ).offset();
+				parentOffset.top += jQuery.css( offsetParent, "borderTopWidth", true );
+				parentOffset.left += jQuery.css( offsetParent, "borderLeftWidth", true );
+			}
+		}
+
+		// Subtract parent offsets and element margins
+		return {
+			top: offset.top - parentOffset.top - jQuery.css( elem, "marginTop", true ),
+			left: offset.left - parentOffset.left - jQuery.css( elem, "marginLeft", true )
+		};
+	},
+
+	// This method will return documentElement in the following cases:
+	// 1) For the element inside the iframe without offsetParent, this method will return
+	//    documentElement of the parent window
+	// 2) For the hidden or detached element
+	// 3) For body or html element, i.e. in case of the html node - it will return itself
+	//
+	// but those exceptions were never presented as a real life use-cases
+	// and might be considered as more preferable results.
+	//
+	// This logic, however, is not guaranteed and can change at any point in the future
+	offsetParent: function() {
+		return this.map( function() {
+			var offsetParent = this.offsetParent;
+
+			while ( offsetParent && jQuery.css( offsetParent, "position" ) === "static" ) {
+				offsetParent = offsetParent.offsetParent;
+			}
+
+			return offsetParent || documentElement;
+		} );
+	}
+} );
+
+// Create scrollLeft and scrollTop methods
+jQuery.each( { scrollLeft: "pageXOffset", scrollTop: "pageYOffset" }, function( method, prop ) {
+	var top = "pageYOffset" === prop;
+
+	jQuery.fn[ method ] = function( val ) {
+		return access( this, function( elem, method, val ) {
+
+			// Coalesce documents and windows
+			var win;
+			if ( isWindow( elem ) ) {
+				win = elem;
+			} else if ( elem.nodeType === 9 ) {
+				win = elem.defaultView;
+			}
+
+			if ( val === undefined ) {
+				return win ? win[ prop ] : elem[ method ];
+			}
+
+			if ( win ) {
+				win.scrollTo(
+					!top ? val : win.pageXOffset,
+					top ? val : win.pageYOffset
+				);
+
+			} else {
+				elem[ method ] = val;
+			}
+		}, method, val, arguments.length );
+	};
+} );
+
+// Support: Safari <=7 - 9.1, Chrome <=37 - 49
+// Add the top/left cssHooks using jQuery.fn.position
+// Webkit bug: https://bugs.webkit.org/show_bug.cgi?id=29084
+// Blink bug: https://bugs.chromium.org/p/chromium/issues/detail?id=589347
+// getComputedStyle returns percent when specified for top/left/bottom/right;
+// rather than make the css module depend on the offset module, just check for it here
+jQuery.each( [ "top", "left" ], function( _i, prop ) {
+	jQuery.cssHooks[ prop ] = addGetHookIf( support.pixelPosition,
+		function( elem, computed ) {
+			if ( computed ) {
+				computed = curCSS( elem, prop );
+
+				// If curCSS returns percentage, fallback to offset
+				return rnumnonpx.test( computed ) ?
+					jQuery( elem ).position()[ prop ] + "px" :
+					computed;
+			}
+		}
+	);
+} );
+
+
+// Create innerHeight, innerWidth, height, width, outerHeight and outerWidth methods
+jQuery.each( { Height: "height", Width: "width" }, function( name, type ) {
+	jQuery.each( {
+		padding: "inner" + name,
+		content: type,
+		"": "outer" + name
+	}, function( defaultExtra, funcName ) {
+
+		// Margin is only for outerHeight, outerWidth
+		jQuery.fn[ funcName ] = function( margin, value ) {
+			var chainable = arguments.length && ( defaultExtra || typeof margin !== "boolean" ),
+				extra = defaultExtra || ( margin === true || value === true ? "margin" : "border" );
+
+			return access( this, function( elem, type, value ) {
+				var doc;
+
+				if ( isWindow( elem ) ) {
+
+					// $( window ).outerWidth/Height return w/h including scrollbars (gh-1729)
+					return funcName.indexOf( "outer" ) === 0 ?
+						elem[ "inner" + name ] :
+						elem.document.documentElement[ "client" + name ];
+				}
+
+				// Get document width or height
+				if ( elem.nodeType === 9 ) {
+					doc = elem.documentElement;
+
+					// Either scroll[Width/Height] or offset[Width/Height] or client[Width/Height],
+					// whichever is greatest
+					return Math.max(
+						elem.body[ "scroll" + name ], doc[ "scroll" + name ],
+						elem.body[ "offset" + name ], doc[ "offset" + name ],
+						doc[ "client" + name ]
+					);
+				}
+
+				return value === undefined ?
+
+					// Get width or height on the element, requesting but not forcing parseFloat
+					jQuery.css( elem, type, extra ) :
+
+					// Set width or height on the element
+					jQuery.style( elem, type, value, extra );
+			}, type, chainable ? margin : undefined, chainable );
+		};
+	} );
+} );
+
+
+jQuery.each( [
+	"ajaxStart",
+	"ajaxStop",
+	"ajaxComplete",
+	"ajaxError",
+	"ajaxSuccess",
+	"ajaxSend"
+], function( _i, type ) {
+	jQuery.fn[ type ] = function( fn ) {
+		return this.on( type, fn );
+	};
+} );
+
+
+
+
+jQuery.fn.extend( {
+
+	bind: function( types, data, fn ) {
+		return this.on( types, null, data, fn );
+	},
+	unbind: function( types, fn ) {
+		return this.off( types, null, fn );
+	},
+
+	delegate: function( selector, types, data, fn ) {
+		return this.on( types, selector, data, fn );
+	},
+	undelegate: function( selector, types, fn ) {
+
+		// ( namespace ) or ( selector, types [, fn] )
+		return arguments.length === 1 ?
+			this.off( selector, "**" ) :
+			this.off( types, selector || "**", fn );
+	},
+
+	hover: function( fnOver, fnOut ) {
+		return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver );
+	}
+} );
+
+jQuery.each(
+	( "blur focus focusin focusout resize scroll click dblclick " +
+	"mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " +
+	"change select submit keydown keypress keyup contextmenu" ).split( " " ),
+	function( _i, name ) {
+
+		// Handle event binding
+		jQuery.fn[ name ] = function( data, fn ) {
+			return arguments.length > 0 ?
+				this.on( name, null, data, fn ) :
+				this.trigger( name );
+		};
+	}
+);
+
+
+
+
+// Support: Android <=4.0 only
+// Make sure we trim BOM and NBSP
+var rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;
+
+// Bind a function to a context, optionally partially applying any
+// arguments.
+// jQuery.proxy is deprecated to promote standards (specifically Function#bind)
+// However, it is not slated for removal any time soon
+jQuery.proxy = function( fn, context ) {
+	var tmp, args, proxy;
+
+	if ( typeof context === "string" ) {
+		tmp = fn[ context ];
+		context = fn;
+		fn = tmp;
+	}
+
+	// Quick check to determine if target is callable, in the spec
+	// this throws a TypeError, but we will just return undefined.
+	if ( !isFunction( fn ) ) {
+		return undefined;
+	}
+
+	// Simulated bind
+	args = slice.call( arguments, 2 );
+	proxy = function() {
+		return fn.apply( context || this, args.concat( slice.call( arguments ) ) );
+	};
+
+	// Set the guid of unique handler to the same of original handler, so it can be removed
+	proxy.guid = fn.guid = fn.guid || jQuery.guid++;
+
+	return proxy;
+};
+
+jQuery.holdReady = function( hold ) {
+	if ( hold ) {
+		jQuery.readyWait++;
+	} else {
+		jQuery.ready( true );
+	}
+};
+jQuery.isArray = Array.isArray;
+jQuery.parseJSON = JSON.parse;
+jQuery.nodeName = nodeName;
+jQuery.isFunction = isFunction;
+jQuery.isWindow = isWindow;
+jQuery.camelCase = camelCase;
+jQuery.type = toType;
+
+jQuery.now = Date.now;
+
+jQuery.isNumeric = function( obj ) {
+
+	// As of jQuery 3.0, isNumeric is limited to
+	// strings and numbers (primitives or objects)
+	// that can be coerced to finite numbers (gh-2662)
+	var type = jQuery.type( obj );
+	return ( type === "number" || type === "string" ) &&
+
+		// parseFloat NaNs numeric-cast false positives ("")
+		// ...but misinterprets leading-number strings, particularly hex literals ("0x...")
+		// subtraction forces infinities to NaN
+		!isNaN( obj - parseFloat( obj ) );
+};
+
+jQuery.trim = function( text ) {
+	return text == null ?
+		"" :
+		( text + "" ).replace( rtrim, "" );
+};
+
+
+
+// Register as a named AMD module, since jQuery can be concatenated with other
+// files that may use define, but not via a proper concatenation script that
+// understands anonymous AMD modules. A named AMD is safest and most robust
+// way to register. Lowercase jquery is used because AMD module names are
+// derived from file names, and jQuery is normally delivered in a lowercase
+// file name. Do this after creating the global so that if an AMD module wants
+// to call noConflict to hide this version of jQuery, it will work.
+
+// Note that for maximum portability, libraries that are not jQuery should
+// declare themselves as anonymous modules, and avoid setting a global if an
+// AMD loader is present. jQuery is a special case. For more information, see
+// https://github.com/jrburke/requirejs/wiki/Updating-existing-libraries#wiki-anon
+
+if ( typeof define === "function" && define.amd ) {
+	define( "jquery", [], function() {
+		return jQuery;
+	} );
+}
+
+
+
+
+var
+
+	// Map over jQuery in case of overwrite
+	_jQuery = window.jQuery,
+
+	// Map over the $ in case of overwrite
+	_$ = window.$;
+
+jQuery.noConflict = function( deep ) {
+	if ( window.$ === jQuery ) {
+		window.$ = _$;
+	}
+
+	if ( deep && window.jQuery === jQuery ) {
+		window.jQuery = _jQuery;
+	}
+
+	return jQuery;
+};
+
+// Expose jQuery and $ identifiers, even in AMD
+// (#7102#comment:10, https://github.com/jquery/jquery/pull/557)
+// and CommonJS for browser emulators (#13566)
+if ( typeof noGlobal === "undefined" ) {
+	window.jQuery = window.$ = jQuery;
+}
+
+
+
+
+return jQuery;
+} );
diff --git a/_static/jquery.js b/_static/jquery.js
new file mode 100644
index 0000000..c4c6022
--- /dev/null
+++ b/_static/jquery.js
@@ -0,0 +1,2 @@
+/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
+!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof 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e=n.closest("li");e.siblings("li.current").removeClass("current").attr("aria-expanded","false"),e.siblings().find("li.current").removeClass("current").attr("aria-expanded","false");var t=e.find("> ul li");t.length&&(t.removeClass("current").attr("aria-expanded","false"),e.toggleClass("current").attr("aria-expanded",(function(n,e){return"true"==e?"false":"true"})))}},"undefined"!=typeof window&&(window.SphinxRtdTheme={Navigation:n.exports.ThemeNav,StickyNav:n.exports.ThemeNav}),function(){for(var n=0,e=["ms","moz","webkit","o"],t=0;t<e.length&&!window.requestAnimationFrame;++t)window.requestAnimationFrame=window[e[t]+"RequestAnimationFrame"],window.cancelAnimationFrame=window[e[t]+"CancelAnimationFrame"]||window[e[t]+"CancelRequestAnimationFrame"];window.requestAnimationFrame||(window.requestAnimationFrame=function(e,t){var i=(new Date).getTime(),o=Math.max(0,16-(i-n)),r=window.setTimeout((function(){e(i+o)}),o);return n=i+o,r}),window.cancelAnimationFrame||(window.cancelAnimationFrame=function(n){clearTimeout(n)})}()}).call(window)},function(n,e){n.exports=jQuery},function(n,e,t){}]);
\ No newline at end of file
diff --git a/_static/language_data.js b/_static/language_data.js
new file mode 100644
index 0000000..2e22b06
--- /dev/null
+++ b/_static/language_data.js
@@ -0,0 +1,199 @@
+/*
+ * language_data.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * This script contains the language-specific data used by searchtools.js,
+ * namely the list of stopwords, stemmer, scorer and splitter.
+ *
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"];
+
+
+/* Non-minified version is copied as a separate JS file, is available */
+
+/**
+ * Porter Stemmer
+ */
+var Stemmer = function() {
+
+  var step2list = {
+    ational: 'ate',
+    tional: 'tion',
+    enci: 'ence',
+    anci: 'ance',
+    izer: 'ize',
+    bli: 'ble',
+    alli: 'al',
+    entli: 'ent',
+    eli: 'e',
+    ousli: 'ous',
+    ization: 'ize',
+    ation: 'ate',
+    ator: 'ate',
+    alism: 'al',
+    iveness: 'ive',
+    fulness: 'ful',
+    ousness: 'ous',
+    aliti: 'al',
+    iviti: 'ive',
+    biliti: 'ble',
+    logi: 'log'
+  };
+
+  var step3list = {
+    icate: 'ic',
+    ative: '',
+    alize: 'al',
+    iciti: 'ic',
+    ical: 'ic',
+    ful: '',
+    ness: ''
+  };
+
+  var c = "[^aeiou]";          // consonant
+  var v = "[aeiouy]";          // vowel
+  var C = c + "[^aeiouy]*";    // consonant sequence
+  var V = v + "[aeiou]*";      // vowel sequence
+
+  var mgr0 = "^(" + C + ")?" + V + C;                      // [C]VC... is m>0
+  var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$";    // [C]VC[V] is m=1
+  var mgr1 = "^(" + C + ")?" + V + C + V + C;              // [C]VCVC... is m>1
+  var s_v   = "^(" + C + ")?" + v;                         // vowel in stem
+
+  this.stemWord = function (w) {
+    var stem;
+    var suffix;
+    var firstch;
+    var origword = w;
+
+    if (w.length < 3)
+      return w;
+
+    var re;
+    var re2;
+    var re3;
+    var re4;
+
+    firstch = w.substr(0,1);
+    if (firstch == "y")
+      w = firstch.toUpperCase() + w.substr(1);
+
+    // Step 1a
+    re = /^(.+?)(ss|i)es$/;
+    re2 = /^(.+?)([^s])s$/;
+
+    if (re.test(w))
+      w = w.replace(re,"$1$2");
+    else if (re2.test(w))
+      w = w.replace(re2,"$1$2");
+
+    // Step 1b
+    re = /^(.+?)eed$/;
+    re2 = /^(.+?)(ed|ing)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      re = new RegExp(mgr0);
+      if (re.test(fp[1])) {
+        re = /.$/;
+        w = w.replace(re,"");
+      }
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1];
+      re2 = new RegExp(s_v);
+      if (re2.test(stem)) {
+        w = stem;
+        re2 = /(at|bl|iz)$/;
+        re3 = new RegExp("([^aeiouylsz])\\1$");
+        re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+        if (re2.test(w))
+          w = w + "e";
+        else if (re3.test(w)) {
+          re = /.$/;
+          w = w.replace(re,"");
+        }
+        else if (re4.test(w))
+          w = w + "e";
+      }
+    }
+
+    // Step 1c
+    re = /^(.+?)y$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(s_v);
+      if (re.test(stem))
+        w = stem + "i";
+    }
+
+    // Step 2
+    re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step2list[suffix];
+    }
+
+    // Step 3
+    re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step3list[suffix];
+    }
+
+    // Step 4
+    re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
+    re2 = /^(.+?)(s|t)(ion)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      if (re.test(stem))
+        w = stem;
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1] + fp[2];
+      re2 = new RegExp(mgr1);
+      if (re2.test(stem))
+        w = stem;
+    }
+
+    // Step 5
+    re = /^(.+?)e$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      re2 = new RegExp(meq1);
+      re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
+        w = stem;
+    }
+    re = /ll$/;
+    re2 = new RegExp(mgr1);
+    if (re.test(w) && re2.test(w)) {
+      re = /.$/;
+      w = w.replace(re,"");
+    }
+
+    // and turn initial Y back to y
+    if (firstch == "y")
+      w = firstch.toLowerCase() + w.substr(1);
+    return w;
+  }
+}
+
diff --git a/_static/minus.png b/_static/minus.png
new file mode 100644
index 0000000..d96755f
Binary files /dev/null and b/_static/minus.png differ
diff --git a/_static/plus.png b/_static/plus.png
new file mode 100644
index 0000000..7107cec
Binary files /dev/null and b/_static/plus.png differ
diff --git a/_static/pygments.css b/_static/pygments.css
new file mode 100644
index 0000000..08bec68
--- /dev/null
+++ b/_static/pygments.css
@@ -0,0 +1,74 @@
+pre { line-height: 125%; }
+td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+.highlight .hll { background-color: #ffffcc }
+.highlight { background: #f8f8f8; }
+.highlight .c { color: #3D7B7B; font-style: italic } /* Comment */
+.highlight .err { border: 1px solid #FF0000 } /* Error */
+.highlight .k { color: #008000; font-weight: bold } /* Keyword */
+.highlight .o { color: #666666 } /* Operator */
+.highlight .ch { color: #3D7B7B; font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: #3D7B7B; font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: #9C6500 } /* Comment.Preproc */
+.highlight .cpf { color: #3D7B7B; font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: #3D7B7B; font-style: italic } /* Comment.Single */
+.highlight .cs { color: #3D7B7B; font-style: italic } /* Comment.Special */
+.highlight .gd { color: #A00000 } /* Generic.Deleted */
+.highlight .ge { font-style: italic } /* Generic.Emph */
+.highlight .gr { color: #E40000 } /* Generic.Error */
+.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
+.highlight .gi { color: #008400 } /* Generic.Inserted */
+.highlight .go { color: #717171 } /* Generic.Output */
+.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
+.highlight .gs { font-weight: bold } /* Generic.Strong */
+.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
+.highlight .gt { color: #0044DD } /* Generic.Traceback */
+.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: #008000 } /* Keyword.Pseudo */
+.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
+.highlight .kt { color: #B00040 } /* Keyword.Type */
+.highlight .m { color: #666666 } /* Literal.Number */
+.highlight .s { color: #BA2121 } /* Literal.String */
+.highlight .na { color: #687822 } /* Name.Attribute */
+.highlight .nb { color: #008000 } /* Name.Builtin */
+.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
+.highlight .no { color: #880000 } /* Name.Constant */
+.highlight .nd { color: #AA22FF } /* Name.Decorator */
+.highlight .ni { color: #717171; font-weight: bold } /* Name.Entity */
+.highlight .ne { color: #CB3F38; font-weight: bold } /* Name.Exception */
+.highlight .nf { color: #0000FF } /* Name.Function */
+.highlight .nl { color: #767600 } /* Name.Label */
+.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
+.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
+.highlight .nv { color: #19177C } /* Name.Variable */
+.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
+.highlight .w { color: #bbbbbb } /* Text.Whitespace */
+.highlight .mb { color: #666666 } /* Literal.Number.Bin */
+.highlight .mf { color: #666666 } /* Literal.Number.Float */
+.highlight .mh { color: #666666 } /* Literal.Number.Hex */
+.highlight .mi { color: #666666 } /* Literal.Number.Integer */
+.highlight .mo { color: #666666 } /* Literal.Number.Oct */
+.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
+.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
+.highlight .sc { color: #BA2121 } /* Literal.String.Char */
+.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
+.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
+.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
+.highlight .se { color: #AA5D1F; font-weight: bold } /* Literal.String.Escape */
+.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
+.highlight .si { color: #A45A77; font-weight: bold } /* Literal.String.Interpol */
+.highlight .sx { color: #008000 } /* Literal.String.Other */
+.highlight .sr { color: #A45A77 } /* Literal.String.Regex */
+.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
+.highlight .ss { color: #19177C } /* Literal.String.Symbol */
+.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
+.highlight .fm { color: #0000FF } /* Name.Function.Magic */
+.highlight .vc { color: #19177C } /* Name.Variable.Class */
+.highlight .vg { color: #19177C } /* Name.Variable.Global */
+.highlight .vi { color: #19177C } /* Name.Variable.Instance */
+.highlight .vm { color: #19177C } /* Name.Variable.Magic */
+.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
\ No newline at end of file
diff --git a/_static/searchtools.js b/_static/searchtools.js
new file mode 100644
index 0000000..e89e34d
--- /dev/null
+++ b/_static/searchtools.js
@@ -0,0 +1,566 @@
+/*
+ * searchtools.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for the full-text search.
+ *
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+"use strict";
+
+/**
+ * Simple result scoring code.
+ */
+if (typeof Scorer === "undefined") {
+  var Scorer = {
+    // Implement the following function to further tweak the score for each result
+    // The function takes a result array [docname, title, anchor, descr, score, filename]
+    // and returns the new score.
+    /*
+    score: result => {
+      const [docname, title, anchor, descr, score, filename] = result
+      return score
+    },
+    */
+
+    // query matches the full name of an object
+    objNameMatch: 11,
+    // or matches in the last dotted part of the object name
+    objPartialMatch: 6,
+    // Additive scores depending on the priority of the object
+    objPrio: {
+      0: 15, // used to be importantResults
+      1: 5, // used to be objectResults
+      2: -5, // used to be unimportantResults
+    },
+    //  Used when the priority is not in the mapping.
+    objPrioDefault: 0,
+
+    // query found in title
+    title: 15,
+    partialTitle: 7,
+    // query found in terms
+    term: 5,
+    partialTerm: 2,
+  };
+}
+
+const _removeChildren = (element) => {
+  while (element && element.lastChild) element.removeChild(element.lastChild);
+};
+
+/**
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping
+ */
+const _escapeRegExp = (string) =>
+  string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string
+
+const _displayItem = (item, searchTerms) => {
+  const docBuilder = DOCUMENTATION_OPTIONS.BUILDER;
+  const docUrlRoot = DOCUMENTATION_OPTIONS.URL_ROOT;
+  const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX;
+  const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX;
+  const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY;
+
+  const [docName, title, anchor, descr, score, _filename] = item;
+
+  let listItem = document.createElement("li");
+  let requestUrl;
+  let linkUrl;
+  if (docBuilder === "dirhtml") {
+    // dirhtml builder
+    let dirname = docName + "/";
+    if (dirname.match(/\/index\/$/))
+      dirname = dirname.substring(0, dirname.length - 6);
+    else if (dirname === "index/") dirname = "";
+    requestUrl = docUrlRoot + dirname;
+    linkUrl = requestUrl;
+  } else {
+    // normal html builders
+    requestUrl = docUrlRoot + docName + docFileSuffix;
+    linkUrl = docName + docLinkSuffix;
+  }
+  let linkEl = listItem.appendChild(document.createElement("a"));
+  linkEl.href = linkUrl + anchor;
+  linkEl.dataset.score = score;
+  linkEl.innerHTML = title;
+  if (descr)
+    listItem.appendChild(document.createElement("span")).innerHTML =
+      " (" + descr + ")";
+  else if (showSearchSummary)
+    fetch(requestUrl)
+      .then((responseData) => responseData.text())
+      .then((data) => {
+        if (data)
+          listItem.appendChild(
+            Search.makeSearchSummary(data, searchTerms)
+          );
+      });
+  Search.output.appendChild(listItem);
+};
+const _finishSearch = (resultCount) => {
+  Search.stopPulse();
+  Search.title.innerText = _("Search Results");
+  if (!resultCount)
+    Search.status.innerText = Documentation.gettext(
+      "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories."
+    );
+  else
+    Search.status.innerText = _(
+      `Search finished, found ${resultCount} page(s) matching the search query.`
+    );
+};
+const _displayNextItem = (
+  results,
+  resultCount,
+  searchTerms
+) => {
+  // results left, load the summary and display it
+  // this is intended to be dynamic (don't sub resultsCount)
+  if (results.length) {
+    _displayItem(results.pop(), searchTerms);
+    setTimeout(
+      () => _displayNextItem(results, resultCount, searchTerms),
+      5
+    );
+  }
+  // search finished, update title and status message
+  else _finishSearch(resultCount);
+};
+
+/**
+ * Default splitQuery function. Can be overridden in ``sphinx.search`` with a
+ * custom function per language.
+ *
+ * The regular expression works by splitting the string on consecutive characters
+ * that are not Unicode letters, numbers, underscores, or emoji characters.
+ * This is the same as ``\W+`` in Python, preserving the surrogate pair area.
+ */
+if (typeof splitQuery === "undefined") {
+  var splitQuery = (query) => query
+      .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu)
+      .filter(term => term)  // remove remaining empty strings
+}
+
+/**
+ * Search Module
+ */
+const Search = {
+  _index: null,
+  _queued_query: null,
+  _pulse_status: -1,
+
+  htmlToText: (htmlString) => {
+    const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html');
+    htmlElement.querySelectorAll(".headerlink").forEach((el) => { el.remove() });
+    const docContent = htmlElement.querySelector('[role="main"]');
+    if (docContent !== undefined) return docContent.textContent;
+    console.warn(
+      "Content block not found. Sphinx search tries to obtain it via '[role=main]'. Could you check your theme or template."
+    );
+    return "";
+  },
+
+  init: () => {
+    const query = new URLSearchParams(window.location.search).get("q");
+    document
+      .querySelectorAll('input[name="q"]')
+      .forEach((el) => (el.value = query));
+    if (query) Search.performSearch(query);
+  },
+
+  loadIndex: (url) =>
+    (document.body.appendChild(document.createElement("script")).src = url),
+
+  setIndex: (index) => {
+    Search._index = index;
+    if (Search._queued_query !== null) {
+      const query = Search._queued_query;
+      Search._queued_query = null;
+      Search.query(query);
+    }
+  },
+
+  hasIndex: () => Search._index !== null,
+
+  deferQuery: (query) => (Search._queued_query = query),
+
+  stopPulse: () => (Search._pulse_status = -1),
+
+  startPulse: () => {
+    if (Search._pulse_status >= 0) return;
+
+    const pulse = () => {
+      Search._pulse_status = (Search._pulse_status + 1) % 4;
+      Search.dots.innerText = ".".repeat(Search._pulse_status);
+      if (Search._pulse_status >= 0) window.setTimeout(pulse, 500);
+    };
+    pulse();
+  },
+
+  /**
+   * perform a search for something (or wait until index is loaded)
+   */
+  performSearch: (query) => {
+    // create the required interface elements
+    const searchText = document.createElement("h2");
+    searchText.textContent = _("Searching");
+    const searchSummary = document.createElement("p");
+    searchSummary.classList.add("search-summary");
+    searchSummary.innerText = "";
+    const searchList = document.createElement("ul");
+    searchList.classList.add("search");
+
+    const out = document.getElementById("search-results");
+    Search.title = out.appendChild(searchText);
+    Search.dots = Search.title.appendChild(document.createElement("span"));
+    Search.status = out.appendChild(searchSummary);
+    Search.output = out.appendChild(searchList);
+
+    const searchProgress = document.getElementById("search-progress");
+    // Some themes don't use the search progress node
+    if (searchProgress) {
+      searchProgress.innerText = _("Preparing search...");
+    }
+    Search.startPulse();
+
+    // index already loaded, the browser was quick!
+    if (Search.hasIndex()) Search.query(query);
+    else Search.deferQuery(query);
+  },
+
+  /**
+   * execute search (requires search index to be loaded)
+   */
+  query: (query) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
+    const allTitles = Search._index.alltitles;
+    const indexEntries = Search._index.indexentries;
+
+    // stem the search terms and add them to the correct list
+    const stemmer = new Stemmer();
+    const searchTerms = new Set();
+    const excludedTerms = new Set();
+    const highlightTerms = new Set();
+    const objectTerms = new Set(splitQuery(query.toLowerCase().trim()));
+    splitQuery(query.trim()).forEach((queryTerm) => {
+      const queryTermLower = queryTerm.toLowerCase();
+
+      // maybe skip this "word"
+      // stopwords array is from language_data.js
+      if (
+        stopwords.indexOf(queryTermLower) !== -1 ||
+        queryTerm.match(/^\d+$/)
+      )
+        return;
+
+      // stem the word
+      let word = stemmer.stemWord(queryTermLower);
+      // select the correct list
+      if (word[0] === "-") excludedTerms.add(word.substr(1));
+      else {
+        searchTerms.add(word);
+        highlightTerms.add(queryTermLower);
+      }
+    });
+
+    if (SPHINX_HIGHLIGHT_ENABLED) {  // set in sphinx_highlight.js
+      localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" "))
+    }
+
+    // console.debug("SEARCH: searching for:");
+    // console.info("required: ", [...searchTerms]);
+    // console.info("excluded: ", [...excludedTerms]);
+
+    // array of [docname, title, anchor, descr, score, filename]
+    let results = [];
+    _removeChildren(document.getElementById("search-progress"));
+
+    const queryLower = query.toLowerCase();
+    for (const [title, foundTitles] of Object.entries(allTitles)) {
+      if (title.toLowerCase().includes(queryLower) && (queryLower.length >= title.length/2)) {
+        for (const [file, id] of foundTitles) {
+          let score = Math.round(100 * queryLower.length / title.length)
+          results.push([
+            docNames[file],
+            titles[file] !== title ? `${titles[file]} > ${title}` : title,
+            id !== null ? "#" + id : "",
+            null,
+            score,
+            filenames[file],
+          ]);
+        }
+      }
+    }
+
+    // search for explicit entries in index directives
+    for (const [entry, foundEntries] of Object.entries(indexEntries)) {
+      if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) {
+        for (const [file, id] of foundEntries) {
+          let score = Math.round(100 * queryLower.length / entry.length)
+          results.push([
+            docNames[file],
+            titles[file],
+            id ? "#" + id : "",
+            null,
+            score,
+            filenames[file],
+          ]);
+        }
+      }
+    }
+
+    // lookup as object
+    objectTerms.forEach((term) =>
+      results.push(...Search.performObjectSearch(term, objectTerms))
+    );
+
+    // lookup as search terms in fulltext
+    results.push(...Search.performTermsSearch(searchTerms, excludedTerms));
+
+    // let the scorer override scores with a custom scoring function
+    if (Scorer.score) results.forEach((item) => (item[4] = Scorer.score(item)));
+
+    // now sort the results by score (in opposite order of appearance, since the
+    // display function below uses pop() to retrieve items) and then
+    // alphabetically
+    results.sort((a, b) => {
+      const leftScore = a[4];
+      const rightScore = b[4];
+      if (leftScore === rightScore) {
+        // same score: sort alphabetically
+        const leftTitle = a[1].toLowerCase();
+        const rightTitle = b[1].toLowerCase();
+        if (leftTitle === rightTitle) return 0;
+        return leftTitle > rightTitle ? -1 : 1; // inverted is intentional
+      }
+      return leftScore > rightScore ? 1 : -1;
+    });
+
+    // remove duplicate search results
+    // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept
+    let seen = new Set();
+    results = results.reverse().reduce((acc, result) => {
+      let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(',');
+      if (!seen.has(resultStr)) {
+        acc.push(result);
+        seen.add(resultStr);
+      }
+      return acc;
+    }, []);
+
+    results = results.reverse();
+
+    // for debugging
+    //Search.lastresults = results.slice();  // a copy
+    // console.info("search results:", Search.lastresults);
+
+    // print the results
+    _displayNextItem(results, results.length, searchTerms);
+  },
+
+  /**
+   * search for object names
+   */
+  performObjectSearch: (object, objectTerms) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const objects = Search._index.objects;
+    const objNames = Search._index.objnames;
+    const titles = Search._index.titles;
+
+    const results = [];
+
+    const objectSearchCallback = (prefix, match) => {
+      const name = match[4]
+      const fullname = (prefix ? prefix + "." : "") + name;
+      const fullnameLower = fullname.toLowerCase();
+      if (fullnameLower.indexOf(object) < 0) return;
+
+      let score = 0;
+      const parts = fullnameLower.split(".");
+
+      // check for different match types: exact matches of full name or
+      // "last name" (i.e. last dotted part)
+      if (fullnameLower === object || parts.slice(-1)[0] === object)
+        score += Scorer.objNameMatch;
+      else if (parts.slice(-1)[0].indexOf(object) > -1)
+        score += Scorer.objPartialMatch; // matches in last name
+
+      const objName = objNames[match[1]][2];
+      const title = titles[match[0]];
+
+      // If more than one term searched for, we require other words to be
+      // found in the name/title/description
+      const otherTerms = new Set(objectTerms);
+      otherTerms.delete(object);
+      if (otherTerms.size > 0) {
+        const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase();
+        if (
+          [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0)
+        )
+          return;
+      }
+
+      let anchor = match[3];
+      if (anchor === "") anchor = fullname;
+      else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname;
+
+      const descr = objName + _(", in ") + title;
+
+      // add custom score for some objects according to scorer
+      if (Scorer.objPrio.hasOwnProperty(match[2]))
+        score += Scorer.objPrio[match[2]];
+      else score += Scorer.objPrioDefault;
+
+      results.push([
+        docNames[match[0]],
+        fullname,
+        "#" + anchor,
+        descr,
+        score,
+        filenames[match[0]],
+      ]);
+    };
+    Object.keys(objects).forEach((prefix) =>
+      objects[prefix].forEach((array) =>
+        objectSearchCallback(prefix, array)
+      )
+    );
+    return results;
+  },
+
+  /**
+   * search for full-text terms in the index
+   */
+  performTermsSearch: (searchTerms, excludedTerms) => {
+    // prepare search
+    const terms = Search._index.terms;
+    const titleTerms = Search._index.titleterms;
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
+
+    const scoreMap = new Map();
+    const fileMap = new Map();
+
+    // perform the search on the required terms
+    searchTerms.forEach((word) => {
+      const files = [];
+      const arr = [
+        { files: terms[word], score: Scorer.term },
+        { files: titleTerms[word], score: Scorer.title },
+      ];
+      // add support for partial matches
+      if (word.length > 2) {
+        const escapedWord = _escapeRegExp(word);
+        Object.keys(terms).forEach((term) => {
+          if (term.match(escapedWord) && !terms[word])
+            arr.push({ files: terms[term], score: Scorer.partialTerm });
+        });
+        Object.keys(titleTerms).forEach((term) => {
+          if (term.match(escapedWord) && !titleTerms[word])
+            arr.push({ files: titleTerms[word], score: Scorer.partialTitle });
+        });
+      }
+
+      // no match but word was a required one
+      if (arr.every((record) => record.files === undefined)) return;
+
+      // found search word in contents
+      arr.forEach((record) => {
+        if (record.files === undefined) return;
+
+        let recordFiles = record.files;
+        if (recordFiles.length === undefined) recordFiles = [recordFiles];
+        files.push(...recordFiles);
+
+        // set score for the word in each file
+        recordFiles.forEach((file) => {
+          if (!scoreMap.has(file)) scoreMap.set(file, {});
+          scoreMap.get(file)[word] = record.score;
+        });
+      });
+
+      // create the mapping
+      files.forEach((file) => {
+        if (fileMap.has(file) && fileMap.get(file).indexOf(word) === -1)
+          fileMap.get(file).push(word);
+        else fileMap.set(file, [word]);
+      });
+    });
+
+    // now check if the files don't contain excluded terms
+    const results = [];
+    for (const [file, wordList] of fileMap) {
+      // check if all requirements are matched
+
+      // as search terms with length < 3 are discarded
+      const filteredTermCount = [...searchTerms].filter(
+        (term) => term.length > 2
+      ).length;
+      if (
+        wordList.length !== searchTerms.size &&
+        wordList.length !== filteredTermCount
+      )
+        continue;
+
+      // ensure that none of the excluded terms is in the search result
+      if (
+        [...excludedTerms].some(
+          (term) =>
+            terms[term] === file ||
+            titleTerms[term] === file ||
+            (terms[term] || []).includes(file) ||
+            (titleTerms[term] || []).includes(file)
+        )
+      )
+        break;
+
+      // select one (max) score for the file.
+      const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w]));
+      // add result to the result list
+      results.push([
+        docNames[file],
+        titles[file],
+        "",
+        null,
+        score,
+        filenames[file],
+      ]);
+    }
+    return results;
+  },
+
+  /**
+   * helper function to return a node containing the
+   * search summary for a given text. keywords is a list
+   * of stemmed words.
+   */
+  makeSearchSummary: (htmlText, keywords) => {
+    const text = Search.htmlToText(htmlText);
+    if (text === "") return null;
+
+    const textLower = text.toLowerCase();
+    const actualStartPosition = [...keywords]
+      .map((k) => textLower.indexOf(k.toLowerCase()))
+      .filter((i) => i > -1)
+      .slice(-1)[0];
+    const startWithContext = Math.max(actualStartPosition - 120, 0);
+
+    const top = startWithContext === 0 ? "" : "...";
+    const tail = startWithContext + 240 < text.length ? "..." : "";
+
+    let summary = document.createElement("p");
+    summary.classList.add("context");
+    summary.textContent = top + text.substr(startWithContext, 240).trim() + tail;
+
+    return summary;
+  },
+};
+
+_ready(Search.init);
diff --git a/_static/sphinx_highlight.js b/_static/sphinx_highlight.js
new file mode 100644
index 0000000..aae669d
--- /dev/null
+++ b/_static/sphinx_highlight.js
@@ -0,0 +1,144 @@
+/* Highlighting utilities for Sphinx HTML documentation. */
+"use strict";
+
+const SPHINX_HIGHLIGHT_ENABLED = true
+
+/**
+ * highlight a given string on a node by wrapping it in
+ * span elements with the given class name.
+ */
+const _highlight = (node, addItems, text, className) => {
+  if (node.nodeType === Node.TEXT_NODE) {
+    const val = node.nodeValue;
+    const parent = node.parentNode;
+    const pos = val.toLowerCase().indexOf(text);
+    if (
+      pos >= 0 &&
+      !parent.classList.contains(className) &&
+      !parent.classList.contains("nohighlight")
+    ) {
+      let span;
+
+      const closestNode = parent.closest("body, svg, foreignObject");
+      const isInSVG = closestNode && closestNode.matches("svg");
+      if (isInSVG) {
+        span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+      } else {
+        span = document.createElement("span");
+        span.classList.add(className);
+      }
+
+      span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+      parent.insertBefore(
+        span,
+        parent.insertBefore(
+          document.createTextNode(val.substr(pos + text.length)),
+          node.nextSibling
+        )
+      );
+      node.nodeValue = val.substr(0, pos);
+
+      if (isInSVG) {
+        const rect = document.createElementNS(
+          "http://www.w3.org/2000/svg",
+          "rect"
+        );
+        const bbox = parent.getBBox();
+        rect.x.baseVal.value = bbox.x;
+        rect.y.baseVal.value = bbox.y;
+        rect.width.baseVal.value = bbox.width;
+        rect.height.baseVal.value = bbox.height;
+        rect.setAttribute("class", className);
+        addItems.push({ parent: parent, target: rect });
+      }
+    }
+  } else if (node.matches && !node.matches("button, select, textarea")) {
+    node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
+  }
+};
+const _highlightText = (thisNode, text, className) => {
+  let addItems = [];
+  _highlight(thisNode, addItems, text, className);
+  addItems.forEach((obj) =>
+    obj.parent.insertAdjacentElement("beforebegin", obj.target)
+  );
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const SphinxHighlight = {
+
+  /**
+   * highlight the search words provided in localstorage in the text
+   */
+  highlightSearchWords: () => {
+    if (!SPHINX_HIGHLIGHT_ENABLED) return;  // bail if no highlight
+
+    // get and clear terms from localstorage
+    const url = new URL(window.location);
+    const highlight =
+        localStorage.getItem("sphinx_highlight_terms")
+        || url.searchParams.get("highlight")
+        || "";
+    localStorage.removeItem("sphinx_highlight_terms")
+    url.searchParams.delete("highlight");
+    window.history.replaceState({}, "", url);
+
+    // get individual terms from highlight string
+    const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
+    if (terms.length === 0) return; // nothing to do
+
+    // There should never be more than one element matching "div.body"
+    const divBody = document.querySelectorAll("div.body");
+    const body = divBody.length ? divBody[0] : document.querySelector("body");
+    window.setTimeout(() => {
+      terms.forEach((term) => _highlightText(body, term, "highlighted"));
+    }, 10);
+
+    const searchBox = document.getElementById("searchbox");
+    if (searchBox === null) return;
+    searchBox.appendChild(
+      document
+        .createRange()
+        .createContextualFragment(
+          '<p class="highlight-link">' +
+            '<a href="javascript:SphinxHighlight.hideSearchWords()">' +
+            _("Hide Search Matches") +
+            "</a></p>"
+        )
+    );
+  },
+
+  /**
+   * helper function to hide the search marks again
+   */
+  hideSearchWords: () => {
+    document
+      .querySelectorAll("#searchbox .highlight-link")
+      .forEach((el) => el.remove());
+    document
+      .querySelectorAll("span.highlighted")
+      .forEach((el) => el.classList.remove("highlighted"));
+    localStorage.removeItem("sphinx_highlight_terms")
+  },
+
+  initEscapeListener: () => {
+    // only install a listener if it is really needed
+    if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return;
+
+    document.addEventListener("keydown", (event) => {
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return;
+      if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) {
+        SphinxHighlight.hideSearchWords();
+        event.preventDefault();
+      }
+    });
+  },
+};
+
+_ready(SphinxHighlight.highlightSearchWords);
+_ready(SphinxHighlight.initEscapeListener);
diff --git a/_static/style.css b/_static/style.css
new file mode 100644
index 0000000..8aa6c28
--- /dev/null
+++ b/_static/style.css
@@ -0,0 +1,3 @@
+.wy-nav-content {
+    max-width: 1200px !important;
+}
diff --git a/_static/tabs.css b/_static/tabs.css
new file mode 100644
index 0000000..957ba60
--- /dev/null
+++ b/_static/tabs.css
@@ -0,0 +1,89 @@
+.sphinx-tabs {
+  margin-bottom: 1rem;
+}
+
+[role="tablist"] {
+  border-bottom: 1px solid #a0b3bf;
+}
+
+.sphinx-tabs-tab {
+  position: relative;
+  font-family: Lato,'Helvetica Neue',Arial,Helvetica,sans-serif;
+  color: #1D5C87;
+  line-height: 24px;
+  margin: 0;
+  font-size: 16px;
+  font-weight: 400;
+  background-color: rgba(255, 255, 255, 0);
+  border-radius: 5px 5px 0 0;
+  border: 0;
+  padding: 1rem 1.5rem;
+  margin-bottom: 0;
+}
+
+.sphinx-tabs-tab[aria-selected="true"] {
+  font-weight: 700;
+  border: 1px solid #a0b3bf;
+  border-bottom: 1px solid white;
+  margin: -1px;
+  background-color: white;
+}
+
+.sphinx-tabs-tab:focus {
+  z-index: 1;
+  outline-offset: 1px;
+}
+
+.sphinx-tabs-panel {
+  position: relative;
+  padding: 1rem;
+  border: 1px solid #a0b3bf;
+  margin: 0px -1px -1px -1px;
+  border-radius: 0 0 5px 5px;
+  border-top: 0;
+  background: white;
+}
+
+.sphinx-tabs-panel.code-tab {
+  padding: 0.4rem;
+}
+
+.sphinx-tab img {
+	margin-bottom: 24 px;
+}
+
+/* Dark theme preference styling */
+
+@media (prefers-color-scheme: dark) {
+  body[data-theme="auto"] .sphinx-tabs-panel {
+    color: white;
+    background-color: rgb(50, 50, 50);
+  }
+
+  body[data-theme="auto"] .sphinx-tabs-tab {
+    color: white;
+    background-color: rgba(255, 255, 255, 0.05);
+  }
+
+  body[data-theme="auto"] .sphinx-tabs-tab[aria-selected="true"] {
+    border-bottom: 1px solid rgb(50, 50, 50);
+    background-color: rgb(50, 50, 50);
+  }
+}
+
+/* Explicit dark theme styling */
+
+body[data-theme="dark"] .sphinx-tabs-panel {
+  color: white;
+  background-color: rgb(50, 50, 50);
+}
+
+body[data-theme="dark"] .sphinx-tabs-tab {
+  color: white;
+  background-color: rgba(255, 255, 255, 0.05);
+}
+
+body[data-theme="dark"] .sphinx-tabs-tab[aria-selected="true"] {
+  border-bottom: 2px solid rgb(50, 50, 50);
+  background-color: rgb(50, 50, 50);
+}
diff --git a/_static/tabs.js b/_static/tabs.js
new file mode 100644
index 0000000..48dc303
--- /dev/null
+++ b/_static/tabs.js
@@ -0,0 +1,145 @@
+try {
+  var session = window.sessionStorage || {};
+} catch (e) {
+  var session = {};
+}
+
+window.addEventListener("DOMContentLoaded", () => {
+  const allTabs = document.querySelectorAll('.sphinx-tabs-tab');
+  const tabLists = document.querySelectorAll('[role="tablist"]');
+
+  allTabs.forEach(tab => {
+    tab.addEventListener("click", changeTabs);
+  });
+
+  tabLists.forEach(tabList => {
+    tabList.addEventListener("keydown", keyTabs);
+  });
+
+  // Restore group tab selection from session
+  const lastSelected = session.getItem('sphinx-tabs-last-selected');
+  if (lastSelected != null) selectNamedTabs(lastSelected);
+});
+
+/**
+ * Key focus left and right between sibling elements using arrows
+ * @param  {Node} e the element in focus when key was pressed
+ */
+function keyTabs(e) {
+    const tab = e.target;
+    let nextTab = null;
+    if (e.keyCode === 39 || e.keyCode === 37) {
+      tab.setAttribute("tabindex", -1);
+      // Move right
+      if (e.keyCode === 39) {
+        nextTab = tab.nextElementSibling;
+        if (nextTab === null) {
+          nextTab = tab.parentNode.firstElementChild;
+        }
+      // Move left
+      } else if (e.keyCode === 37) {
+        nextTab = tab.previousElementSibling;
+        if (nextTab === null) {
+          nextTab = tab.parentNode.lastElementChild;
+        }
+      }
+    }
+
+    if (nextTab !== null) {
+      nextTab.setAttribute("tabindex", 0);
+      nextTab.focus();
+    }
+}
+
+/**
+ * Select or deselect clicked tab. If a group tab
+ * is selected, also select tab in other tabLists.
+ * @param  {Node} e the element that was clicked
+ */
+function changeTabs(e) {
+  // Use this instead of the element that was clicked, in case it's a child
+  const notSelected = this.getAttribute("aria-selected") === "false";
+  const positionBefore = this.parentNode.getBoundingClientRect().top;
+  const notClosable = !this.parentNode.classList.contains("closeable");
+
+  deselectTabList(this);
+
+  if (notSelected || notClosable) {
+    selectTab(this);
+    const name = this.getAttribute("name");
+    selectNamedTabs(name, this.id);
+
+    if (this.classList.contains("group-tab")) {
+      // Persist during session
+      session.setItem('sphinx-tabs-last-selected', name);
+    }
+  }
+
+  const positionAfter = this.parentNode.getBoundingClientRect().top;
+  const positionDelta = positionAfter - positionBefore;
+  // Scroll to offset content resizing
+  window.scrollTo(0, window.scrollY + positionDelta);
+}
+
+/**
+ * Select tab and show associated panel.
+ * @param  {Node} tab tab to select
+ */
+function selectTab(tab) {
+  tab.setAttribute("aria-selected", true);
+
+  // Show the associated panel
+  document
+    .getElementById(tab.getAttribute("aria-controls"))
+    .removeAttribute("hidden");
+}
+
+/**
+ * Hide the panels associated with all tabs within the
+ * tablist containing this tab.
+ * @param  {Node} tab a tab within the tablist to deselect
+ */
+function deselectTabList(tab) {
+  const parent = tab.parentNode;
+  const grandparent = parent.parentNode;
+
+  Array.from(parent.children)
+  .forEach(t => t.setAttribute("aria-selected", false));
+
+  Array.from(grandparent.children)
+    .slice(1)  // Skip tablist
+    .forEach(panel => panel.setAttribute("hidden", true));
+}
+
+/**
+ * Select grouped tabs with the same name, but no the tab
+ * with the given id.
+ * @param  {Node} name name of grouped tab to be selected
+ * @param  {Node} clickedId id of clicked tab
+ */
+function selectNamedTabs(name, clickedId=null) {
+  const groupedTabs = document.querySelectorAll(`.sphinx-tabs-tab[name="${name}"]`);
+  const tabLists = Array.from(groupedTabs).map(tab => tab.parentNode);
+
+  tabLists
+    .forEach(tabList => {
+      // Don't want to change the tabList containing the clicked tab
+      const clickedTab = tabList.querySelector(`[id="${clickedId}"]`);
+      if (clickedTab === null ) {
+        // Select first tab with matching name
+        const tab = tabList.querySelector(`.sphinx-tabs-tab[name="${name}"]`);
+        deselectTabList(tab);
+        selectTab(tab);
+      }
+    })
+}
+
+if (typeof exports === 'undefined') {
+  exports = {};
+}
+
+exports.keyTabs = keyTabs;
+exports.changeTabs = changeTabs;
+exports.selectTab = selectTab;
+exports.deselectTabList = deselectTabList;
+exports.selectNamedTabs = selectNamedTabs;
diff --git a/_static/underscore-1.13.1.js b/_static/underscore-1.13.1.js
new file mode 100644
index 0000000..ffd77af
--- /dev/null
+++ b/_static/underscore-1.13.1.js
@@ -0,0 +1,2042 @@
+(function (global, factory) {
+  typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :
+  typeof define === 'function' && define.amd ? define('underscore', factory) :
+  (global = typeof globalThis !== 'undefined' ? globalThis : global || self, (function () {
+    var current = global._;
+    var exports = global._ = factory();
+    exports.noConflict = function () { global._ = current; return exports; };
+  }()));
+}(this, (function () {
+  //     Underscore.js 1.13.1
+  //     https://underscorejs.org
+  //     (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors
+  //     Underscore may be freely distributed under the MIT license.
+
+  // Current version.
+  var VERSION = '1.13.1';
+
+  // Establish the root object, `window` (`self`) in the browser, `global`
+  // on the server, or `this` in some virtual machines. We use `self`
+  // instead of `window` for `WebWorker` support.
+  var root = typeof self == 'object' && self.self === self && self ||
+            typeof global == 'object' && global.global === global && global ||
+            Function('return this')() ||
+            {};
+
+  // Save bytes in the minified (but not gzipped) version:
+  var ArrayProto = Array.prototype, ObjProto = Object.prototype;
+  var SymbolProto = typeof Symbol !== 'undefined' ? Symbol.prototype : null;
+
+  // Create quick reference variables for speed access to core prototypes.
+  var push = ArrayProto.push,
+      slice = ArrayProto.slice,
+      toString = ObjProto.toString,
+      hasOwnProperty = ObjProto.hasOwnProperty;
+
+  // Modern feature detection.
+  var supportsArrayBuffer = typeof ArrayBuffer !== 'undefined',
+      supportsDataView = typeof DataView !== 'undefined';
+
+  // All **ECMAScript 5+** native function implementations that we hope to use
+  // are declared here.
+  var nativeIsArray = Array.isArray,
+      nativeKeys = Object.keys,
+      nativeCreate = Object.create,
+      nativeIsView = supportsArrayBuffer && ArrayBuffer.isView;
+
+  // Create references to these builtin functions because we override them.
+  var _isNaN = isNaN,
+      _isFinite = isFinite;
+
+  // Keys in IE < 9 that won't be iterated by `for key in ...` and thus missed.
+  var hasEnumBug = !{toString: null}.propertyIsEnumerable('toString');
+  var nonEnumerableProps = ['valueOf', 'isPrototypeOf', 'toString',
+    'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString'];
+
+  // The largest integer that can be represented exactly.
+  var MAX_ARRAY_INDEX = Math.pow(2, 53) - 1;
+
+  // Some functions take a variable number of arguments, or a few expected
+  // arguments at the beginning and then a variable number of values to operate
+  // on. This helper accumulates all remaining arguments past the function’s
+  // argument length (or an explicit `startIndex`), into an array that becomes
+  // the last argument. Similar to ES6’s "rest parameter".
+  function restArguments(func, startIndex) {
+    startIndex = startIndex == null ? func.length - 1 : +startIndex;
+    return function() {
+      var length = Math.max(arguments.length - startIndex, 0),
+          rest = Array(length),
+          index = 0;
+      for (; index < length; index++) {
+        rest[index] = arguments[index + startIndex];
+      }
+      switch (startIndex) {
+        case 0: return func.call(this, rest);
+        case 1: return func.call(this, arguments[0], rest);
+        case 2: return func.call(this, arguments[0], arguments[1], rest);
+      }
+      var args = Array(startIndex + 1);
+      for (index = 0; index < startIndex; index++) {
+        args[index] = arguments[index];
+      }
+      args[startIndex] = rest;
+      return func.apply(this, args);
+    };
+  }
+
+  // Is a given variable an object?
+  function isObject(obj) {
+    var type = typeof obj;
+    return type === 'function' || type === 'object' && !!obj;
+  }
+
+  // Is a given value equal to null?
+  function isNull(obj) {
+    return obj === null;
+  }
+
+  // Is a given variable undefined?
+  function isUndefined(obj) {
+    return obj === void 0;
+  }
+
+  // Is a given value a boolean?
+  function isBoolean(obj) {
+    return obj === true || obj === false || toString.call(obj) === '[object Boolean]';
+  }
+
+  // Is a given value a DOM element?
+  function isElement(obj) {
+    return !!(obj && obj.nodeType === 1);
+  }
+
+  // Internal function for creating a `toString`-based type tester.
+  function tagTester(name) {
+    var tag = '[object ' + name + ']';
+    return function(obj) {
+      return toString.call(obj) === tag;
+    };
+  }
+
+  var isString = tagTester('String');
+
+  var isNumber = tagTester('Number');
+
+  var isDate = tagTester('Date');
+
+  var isRegExp = tagTester('RegExp');
+
+  var isError = tagTester('Error');
+
+  var isSymbol = tagTester('Symbol');
+
+  var isArrayBuffer = tagTester('ArrayBuffer');
+
+  var isFunction = tagTester('Function');
+
+  // Optimize `isFunction` if appropriate. Work around some `typeof` bugs in old
+  // v8, IE 11 (#1621), Safari 8 (#1929), and PhantomJS (#2236).
+  var nodelist = root.document && root.document.childNodes;
+  if (typeof /./ != 'function' && typeof Int8Array != 'object' && typeof nodelist != 'function') {
+    isFunction = function(obj) {
+      return typeof obj == 'function' || false;
+    };
+  }
+
+  var isFunction$1 = isFunction;
+
+  var hasObjectTag = tagTester('Object');
+
+  // In IE 10 - Edge 13, `DataView` has string tag `'[object Object]'`.
+  // In IE 11, the most common among them, this problem also applies to
+  // `Map`, `WeakMap` and `Set`.
+  var hasStringTagBug = (
+        supportsDataView && hasObjectTag(new DataView(new ArrayBuffer(8)))
+      ),
+      isIE11 = (typeof Map !== 'undefined' && hasObjectTag(new Map));
+
+  var isDataView = tagTester('DataView');
+
+  // In IE 10 - Edge 13, we need a different heuristic
+  // to determine whether an object is a `DataView`.
+  function ie10IsDataView(obj) {
+    return obj != null && isFunction$1(obj.getInt8) && isArrayBuffer(obj.buffer);
+  }
+
+  var isDataView$1 = (hasStringTagBug ? ie10IsDataView : isDataView);
+
+  // Is a given value an array?
+  // Delegates to ECMA5's native `Array.isArray`.
+  var isArray = nativeIsArray || tagTester('Array');
+
+  // Internal function to check whether `key` is an own property name of `obj`.
+  function has$1(obj, key) {
+    return obj != null && hasOwnProperty.call(obj, key);
+  }
+
+  var isArguments = tagTester('Arguments');
+
+  // Define a fallback version of the method in browsers (ahem, IE < 9), where
+  // there isn't any inspectable "Arguments" type.
+  (function() {
+    if (!isArguments(arguments)) {
+      isArguments = function(obj) {
+        return has$1(obj, 'callee');
+      };
+    }
+  }());
+
+  var isArguments$1 = isArguments;
+
+  // Is a given object a finite number?
+  function isFinite$1(obj) {
+    return !isSymbol(obj) && _isFinite(obj) && !isNaN(parseFloat(obj));
+  }
+
+  // Is the given value `NaN`?
+  function isNaN$1(obj) {
+    return isNumber(obj) && _isNaN(obj);
+  }
+
+  // Predicate-generating function. Often useful outside of Underscore.
+  function constant(value) {
+    return function() {
+      return value;
+    };
+  }
+
+  // Common internal logic for `isArrayLike` and `isBufferLike`.
+  function createSizePropertyCheck(getSizeProperty) {
+    return function(collection) {
+      var sizeProperty = getSizeProperty(collection);
+      return typeof sizeProperty == 'number' && sizeProperty >= 0 && sizeProperty <= MAX_ARRAY_INDEX;
+    }
+  }
+
+  // Internal helper to generate a function to obtain property `key` from `obj`.
+  function shallowProperty(key) {
+    return function(obj) {
+      return obj == null ? void 0 : obj[key];
+    };
+  }
+
+  // Internal helper to obtain the `byteLength` property of an object.
+  var getByteLength = shallowProperty('byteLength');
+
+  // Internal helper to determine whether we should spend extensive checks against
+  // `ArrayBuffer` et al.
+  var isBufferLike = createSizePropertyCheck(getByteLength);
+
+  // Is a given value a typed array?
+  var typedArrayPattern = /\[object ((I|Ui)nt(8|16|32)|Float(32|64)|Uint8Clamped|Big(I|Ui)nt64)Array\]/;
+  function isTypedArray(obj) {
+    // `ArrayBuffer.isView` is the most future-proof, so use it when available.
+    // Otherwise, fall back on the above regular expression.
+    return nativeIsView ? (nativeIsView(obj) && !isDataView$1(obj)) :
+                  isBufferLike(obj) && typedArrayPattern.test(toString.call(obj));
+  }
+
+  var isTypedArray$1 = supportsArrayBuffer ? isTypedArray : constant(false);
+
+  // Internal helper to obtain the `length` property of an object.
+  var getLength = shallowProperty('length');
+
+  // Internal helper to create a simple lookup structure.
+  // `collectNonEnumProps` used to depend on `_.contains`, but this led to
+  // circular imports. `emulatedSet` is a one-off solution that only works for
+  // arrays of strings.
+  function emulatedSet(keys) {
+    var hash = {};
+    for (var l = keys.length, i = 0; i < l; ++i) hash[keys[i]] = true;
+    return {
+      contains: function(key) { return hash[key]; },
+      push: function(key) {
+        hash[key] = true;
+        return keys.push(key);
+      }
+    };
+  }
+
+  // Internal helper. Checks `keys` for the presence of keys in IE < 9 that won't
+  // be iterated by `for key in ...` and thus missed. Extends `keys` in place if
+  // needed.
+  function collectNonEnumProps(obj, keys) {
+    keys = emulatedSet(keys);
+    var nonEnumIdx = nonEnumerableProps.length;
+    var constructor = obj.constructor;
+    var proto = isFunction$1(constructor) && constructor.prototype || ObjProto;
+
+    // Constructor is a special case.
+    var prop = 'constructor';
+    if (has$1(obj, prop) && !keys.contains(prop)) keys.push(prop);
+
+    while (nonEnumIdx--) {
+      prop = nonEnumerableProps[nonEnumIdx];
+      if (prop in obj && obj[prop] !== proto[prop] && !keys.contains(prop)) {
+        keys.push(prop);
+      }
+    }
+  }
+
+  // Retrieve the names of an object's own properties.
+  // Delegates to **ECMAScript 5**'s native `Object.keys`.
+  function keys(obj) {
+    if (!isObject(obj)) return [];
+    if (nativeKeys) return nativeKeys(obj);
+    var keys = [];
+    for (var key in obj) if (has$1(obj, key)) keys.push(key);
+    // Ahem, IE < 9.
+    if (hasEnumBug) collectNonEnumProps(obj, keys);
+    return keys;
+  }
+
+  // Is a given array, string, or object empty?
+  // An "empty" object has no enumerable own-properties.
+  function isEmpty(obj) {
+    if (obj == null) return true;
+    // Skip the more expensive `toString`-based type checks if `obj` has no
+    // `.length`.
+    var length = getLength(obj);
+    if (typeof length == 'number' && (
+      isArray(obj) || isString(obj) || isArguments$1(obj)
+    )) return length === 0;
+    return getLength(keys(obj)) === 0;
+  }
+
+  // Returns whether an object has a given set of `key:value` pairs.
+  function isMatch(object, attrs) {
+    var _keys = keys(attrs), length = _keys.length;
+    if (object == null) return !length;
+    var obj = Object(object);
+    for (var i = 0; i < length; i++) {
+      var key = _keys[i];
+      if (attrs[key] !== obj[key] || !(key in obj)) return false;
+    }
+    return true;
+  }
+
+  // If Underscore is called as a function, it returns a wrapped object that can
+  // be used OO-style. This wrapper holds altered versions of all functions added
+  // through `_.mixin`. Wrapped objects may be chained.
+  function _$1(obj) {
+    if (obj instanceof _$1) return obj;
+    if (!(this instanceof _$1)) return new _$1(obj);
+    this._wrapped = obj;
+  }
+
+  _$1.VERSION = VERSION;
+
+  // Extracts the result from a wrapped and chained object.
+  _$1.prototype.value = function() {
+    return this._wrapped;
+  };
+
+  // Provide unwrapping proxies for some methods used in engine operations
+  // such as arithmetic and JSON stringification.
+  _$1.prototype.valueOf = _$1.prototype.toJSON = _$1.prototype.value;
+
+  _$1.prototype.toString = function() {
+    return String(this._wrapped);
+  };
+
+  // Internal function to wrap or shallow-copy an ArrayBuffer,
+  // typed array or DataView to a new view, reusing the buffer.
+  function toBufferView(bufferSource) {
+    return new Uint8Array(
+      bufferSource.buffer || bufferSource,
+      bufferSource.byteOffset || 0,
+      getByteLength(bufferSource)
+    );
+  }
+
+  // We use this string twice, so give it a name for minification.
+  var tagDataView = '[object DataView]';
+
+  // Internal recursive comparison function for `_.isEqual`.
+  function eq(a, b, aStack, bStack) {
+    // Identical objects are equal. `0 === -0`, but they aren't identical.
+    // See the [Harmony `egal` proposal](https://wiki.ecmascript.org/doku.php?id=harmony:egal).
+    if (a === b) return a !== 0 || 1 / a === 1 / b;
+    // `null` or `undefined` only equal to itself (strict comparison).
+    if (a == null || b == null) return false;
+    // `NaN`s are equivalent, but non-reflexive.
+    if (a !== a) return b !== b;
+    // Exhaust primitive checks
+    var type = typeof a;
+    if (type !== 'function' && type !== 'object' && typeof b != 'object') return false;
+    return deepEq(a, b, aStack, bStack);
+  }
+
+  // Internal recursive comparison function for `_.isEqual`.
+  function deepEq(a, b, aStack, bStack) {
+    // Unwrap any wrapped objects.
+    if (a instanceof _$1) a = a._wrapped;
+    if (b instanceof _$1) b = b._wrapped;
+    // Compare `[[Class]]` names.
+    var className = toString.call(a);
+    if (className !== toString.call(b)) return false;
+    // Work around a bug in IE 10 - Edge 13.
+    if (hasStringTagBug && className == '[object Object]' && isDataView$1(a)) {
+      if (!isDataView$1(b)) return false;
+      className = tagDataView;
+    }
+    switch (className) {
+      // These types are compared by value.
+      case '[object RegExp]':
+        // RegExps are coerced to strings for comparison (Note: '' + /a/i === '/a/i')
+      case '[object String]':
+        // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is
+        // equivalent to `new String("5")`.
+        return '' + a === '' + b;
+      case '[object Number]':
+        // `NaN`s are equivalent, but non-reflexive.
+        // Object(NaN) is equivalent to NaN.
+        if (+a !== +a) return +b !== +b;
+        // An `egal` comparison is performed for other numeric values.
+        return +a === 0 ? 1 / +a === 1 / b : +a === +b;
+      case '[object Date]':
+      case '[object Boolean]':
+        // Coerce dates and booleans to numeric primitive values. Dates are compared by their
+        // millisecond representations. Note that invalid dates with millisecond representations
+        // of `NaN` are not equivalent.
+        return +a === +b;
+      case '[object Symbol]':
+        return SymbolProto.valueOf.call(a) === SymbolProto.valueOf.call(b);
+      case '[object ArrayBuffer]':
+      case tagDataView:
+        // Coerce to typed array so we can fall through.
+        return deepEq(toBufferView(a), toBufferView(b), aStack, bStack);
+    }
+
+    var areArrays = className === '[object Array]';
+    if (!areArrays && isTypedArray$1(a)) {
+        var byteLength = getByteLength(a);
+        if (byteLength !== getByteLength(b)) return false;
+        if (a.buffer === b.buffer && a.byteOffset === b.byteOffset) return true;
+        areArrays = true;
+    }
+    if (!areArrays) {
+      if (typeof a != 'object' || typeof b != 'object') return false;
+
+      // Objects with different constructors are not equivalent, but `Object`s or `Array`s
+      // from different frames are.
+      var aCtor = a.constructor, bCtor = b.constructor;
+      if (aCtor !== bCtor && !(isFunction$1(aCtor) && aCtor instanceof aCtor &&
+                               isFunction$1(bCtor) && bCtor instanceof bCtor)
+                          && ('constructor' in a && 'constructor' in b)) {
+        return false;
+      }
+    }
+    // Assume equality for cyclic structures. The algorithm for detecting cyclic
+    // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`.
+
+    // Initializing stack of traversed objects.
+    // It's done here since we only need them for objects and arrays comparison.
+    aStack = aStack || [];
+    bStack = bStack || [];
+    var length = aStack.length;
+    while (length--) {
+      // Linear search. Performance is inversely proportional to the number of
+      // unique nested structures.
+      if (aStack[length] === a) return bStack[length] === b;
+    }
+
+    // Add the first object to the stack of traversed objects.
+    aStack.push(a);
+    bStack.push(b);
+
+    // Recursively compare objects and arrays.
+    if (areArrays) {
+      // Compare array lengths to determine if a deep comparison is necessary.
+      length = a.length;
+      if (length !== b.length) return false;
+      // Deep compare the contents, ignoring non-numeric properties.
+      while (length--) {
+        if (!eq(a[length], b[length], aStack, bStack)) return false;
+      }
+    } else {
+      // Deep compare objects.
+      var _keys = keys(a), key;
+      length = _keys.length;
+      // Ensure that both objects contain the same number of properties before comparing deep equality.
+      if (keys(b).length !== length) return false;
+      while (length--) {
+        // Deep compare each member
+        key = _keys[length];
+        if (!(has$1(b, key) && eq(a[key], b[key], aStack, bStack))) return false;
+      }
+    }
+    // Remove the first object from the stack of traversed objects.
+    aStack.pop();
+    bStack.pop();
+    return true;
+  }
+
+  // Perform a deep comparison to check if two objects are equal.
+  function isEqual(a, b) {
+    return eq(a, b);
+  }
+
+  // Retrieve all the enumerable property names of an object.
+  function allKeys(obj) {
+    if (!isObject(obj)) return [];
+    var keys = [];
+    for (var key in obj) keys.push(key);
+    // Ahem, IE < 9.
+    if (hasEnumBug) collectNonEnumProps(obj, keys);
+    return keys;
+  }
+
+  // Since the regular `Object.prototype.toString` type tests don't work for
+  // some types in IE 11, we use a fingerprinting heuristic instead, based
+  // on the methods. It's not great, but it's the best we got.
+  // The fingerprint method lists are defined below.
+  function ie11fingerprint(methods) {
+    var length = getLength(methods);
+    return function(obj) {
+      if (obj == null) return false;
+      // `Map`, `WeakMap` and `Set` have no enumerable keys.
+      var keys = allKeys(obj);
+      if (getLength(keys)) return false;
+      for (var i = 0; i < length; i++) {
+        if (!isFunction$1(obj[methods[i]])) return false;
+      }
+      // If we are testing against `WeakMap`, we need to ensure that
+      // `obj` doesn't have a `forEach` method in order to distinguish
+      // it from a regular `Map`.
+      return methods !== weakMapMethods || !isFunction$1(obj[forEachName]);
+    };
+  }
+
+  // In the interest of compact minification, we write
+  // each string in the fingerprints only once.
+  var forEachName = 'forEach',
+      hasName = 'has',
+      commonInit = ['clear', 'delete'],
+      mapTail = ['get', hasName, 'set'];
+
+  // `Map`, `WeakMap` and `Set` each have slightly different
+  // combinations of the above sublists.
+  var mapMethods = commonInit.concat(forEachName, mapTail),
+      weakMapMethods = commonInit.concat(mapTail),
+      setMethods = ['add'].concat(commonInit, forEachName, hasName);
+
+  var isMap = isIE11 ? ie11fingerprint(mapMethods) : tagTester('Map');
+
+  var isWeakMap = isIE11 ? ie11fingerprint(weakMapMethods) : tagTester('WeakMap');
+
+  var isSet = isIE11 ? ie11fingerprint(setMethods) : tagTester('Set');
+
+  var isWeakSet = tagTester('WeakSet');
+
+  // Retrieve the values of an object's properties.
+  function values(obj) {
+    var _keys = keys(obj);
+    var length = _keys.length;
+    var values = Array(length);
+    for (var i = 0; i < length; i++) {
+      values[i] = obj[_keys[i]];
+    }
+    return values;
+  }
+
+  // Convert an object into a list of `[key, value]` pairs.
+  // The opposite of `_.object` with one argument.
+  function pairs(obj) {
+    var _keys = keys(obj);
+    var length = _keys.length;
+    var pairs = Array(length);
+    for (var i = 0; i < length; i++) {
+      pairs[i] = [_keys[i], obj[_keys[i]]];
+    }
+    return pairs;
+  }
+
+  // Invert the keys and values of an object. The values must be serializable.
+  function invert(obj) {
+    var result = {};
+    var _keys = keys(obj);
+    for (var i = 0, length = _keys.length; i < length; i++) {
+      result[obj[_keys[i]]] = _keys[i];
+    }
+    return result;
+  }
+
+  // Return a sorted list of the function names available on the object.
+  function functions(obj) {
+    var names = [];
+    for (var key in obj) {
+      if (isFunction$1(obj[key])) names.push(key);
+    }
+    return names.sort();
+  }
+
+  // An internal function for creating assigner functions.
+  function createAssigner(keysFunc, defaults) {
+    return function(obj) {
+      var length = arguments.length;
+      if (defaults) obj = Object(obj);
+      if (length < 2 || obj == null) return obj;
+      for (var index = 1; index < length; index++) {
+        var source = arguments[index],
+            keys = keysFunc(source),
+            l = keys.length;
+        for (var i = 0; i < l; i++) {
+          var key = keys[i];
+          if (!defaults || obj[key] === void 0) obj[key] = source[key];
+        }
+      }
+      return obj;
+    };
+  }
+
+  // Extend a given object with all the properties in passed-in object(s).
+  var extend = createAssigner(allKeys);
+
+  // Assigns a given object with all the own properties in the passed-in
+  // object(s).
+  // (https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object/assign)
+  var extendOwn = createAssigner(keys);
+
+  // Fill in a given object with default properties.
+  var defaults = createAssigner(allKeys, true);
+
+  // Create a naked function reference for surrogate-prototype-swapping.
+  function ctor() {
+    return function(){};
+  }
+
+  // An internal function for creating a new object that inherits from another.
+  function baseCreate(prototype) {
+    if (!isObject(prototype)) return {};
+    if (nativeCreate) return nativeCreate(prototype);
+    var Ctor = ctor();
+    Ctor.prototype = prototype;
+    var result = new Ctor;
+    Ctor.prototype = null;
+    return result;
+  }
+
+  // Creates an object that inherits from the given prototype object.
+  // If additional properties are provided then they will be added to the
+  // created object.
+  function create(prototype, props) {
+    var result = baseCreate(prototype);
+    if (props) extendOwn(result, props);
+    return result;
+  }
+
+  // Create a (shallow-cloned) duplicate of an object.
+  function clone(obj) {
+    if (!isObject(obj)) return obj;
+    return isArray(obj) ? obj.slice() : extend({}, obj);
+  }
+
+  // Invokes `interceptor` with the `obj` and then returns `obj`.
+  // The primary purpose of this method is to "tap into" a method chain, in
+  // order to perform operations on intermediate results within the chain.
+  function tap(obj, interceptor) {
+    interceptor(obj);
+    return obj;
+  }
+
+  // Normalize a (deep) property `path` to array.
+  // Like `_.iteratee`, this function can be customized.
+  function toPath$1(path) {
+    return isArray(path) ? path : [path];
+  }
+  _$1.toPath = toPath$1;
+
+  // Internal wrapper for `_.toPath` to enable minification.
+  // Similar to `cb` for `_.iteratee`.
+  function toPath(path) {
+    return _$1.toPath(path);
+  }
+
+  // Internal function to obtain a nested property in `obj` along `path`.
+  function deepGet(obj, path) {
+    var length = path.length;
+    for (var i = 0; i < length; i++) {
+      if (obj == null) return void 0;
+      obj = obj[path[i]];
+    }
+    return length ? obj : void 0;
+  }
+
+  // Get the value of the (deep) property on `path` from `object`.
+  // If any property in `path` does not exist or if the value is
+  // `undefined`, return `defaultValue` instead.
+  // The `path` is normalized through `_.toPath`.
+  function get(object, path, defaultValue) {
+    var value = deepGet(object, toPath(path));
+    return isUndefined(value) ? defaultValue : value;
+  }
+
+  // Shortcut function for checking if an object has a given property directly on
+  // itself (in other words, not on a prototype). Unlike the internal `has`
+  // function, this public version can also traverse nested properties.
+  function has(obj, path) {
+    path = toPath(path);
+    var length = path.length;
+    for (var i = 0; i < length; i++) {
+      var key = path[i];
+      if (!has$1(obj, key)) return false;
+      obj = obj[key];
+    }
+    return !!length;
+  }
+
+  // Keep the identity function around for default iteratees.
+  function identity(value) {
+    return value;
+  }
+
+  // Returns a predicate for checking whether an object has a given set of
+  // `key:value` pairs.
+  function matcher(attrs) {
+    attrs = extendOwn({}, attrs);
+    return function(obj) {
+      return isMatch(obj, attrs);
+    };
+  }
+
+  // Creates a function that, when passed an object, will traverse that object’s
+  // properties down the given `path`, specified as an array of keys or indices.
+  function property(path) {
+    path = toPath(path);
+    return function(obj) {
+      return deepGet(obj, path);
+    };
+  }
+
+  // Internal function that returns an efficient (for current engines) version
+  // of the passed-in callback, to be repeatedly applied in other Underscore
+  // functions.
+  function optimizeCb(func, context, argCount) {
+    if (context === void 0) return func;
+    switch (argCount == null ? 3 : argCount) {
+      case 1: return function(value) {
+        return func.call(context, value);
+      };
+      // The 2-argument case is omitted because we’re not using it.
+      case 3: return function(value, index, collection) {
+        return func.call(context, value, index, collection);
+      };
+      case 4: return function(accumulator, value, index, collection) {
+        return func.call(context, accumulator, value, index, collection);
+      };
+    }
+    return function() {
+      return func.apply(context, arguments);
+    };
+  }
+
+  // An internal function to generate callbacks that can be applied to each
+  // element in a collection, returning the desired result — either `_.identity`,
+  // an arbitrary callback, a property matcher, or a property accessor.
+  function baseIteratee(value, context, argCount) {
+    if (value == null) return identity;
+    if (isFunction$1(value)) return optimizeCb(value, context, argCount);
+    if (isObject(value) && !isArray(value)) return matcher(value);
+    return property(value);
+  }
+
+  // External wrapper for our callback generator. Users may customize
+  // `_.iteratee` if they want additional predicate/iteratee shorthand styles.
+  // This abstraction hides the internal-only `argCount` argument.
+  function iteratee(value, context) {
+    return baseIteratee(value, context, Infinity);
+  }
+  _$1.iteratee = iteratee;
+
+  // The function we call internally to generate a callback. It invokes
+  // `_.iteratee` if overridden, otherwise `baseIteratee`.
+  function cb(value, context, argCount) {
+    if (_$1.iteratee !== iteratee) return _$1.iteratee(value, context);
+    return baseIteratee(value, context, argCount);
+  }
+
+  // Returns the results of applying the `iteratee` to each element of `obj`.
+  // In contrast to `_.map` it returns an object.
+  function mapObject(obj, iteratee, context) {
+    iteratee = cb(iteratee, context);
+    var _keys = keys(obj),
+        length = _keys.length,
+        results = {};
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys[index];
+      results[currentKey] = iteratee(obj[currentKey], currentKey, obj);
+    }
+    return results;
+  }
+
+  // Predicate-generating function. Often useful outside of Underscore.
+  function noop(){}
+
+  // Generates a function for a given object that returns a given property.
+  function propertyOf(obj) {
+    if (obj == null) return noop;
+    return function(path) {
+      return get(obj, path);
+    };
+  }
+
+  // Run a function **n** times.
+  function times(n, iteratee, context) {
+    var accum = Array(Math.max(0, n));
+    iteratee = optimizeCb(iteratee, context, 1);
+    for (var i = 0; i < n; i++) accum[i] = iteratee(i);
+    return accum;
+  }
+
+  // Return a random integer between `min` and `max` (inclusive).
+  function random(min, max) {
+    if (max == null) {
+      max = min;
+      min = 0;
+    }
+    return min + Math.floor(Math.random() * (max - min + 1));
+  }
+
+  // A (possibly faster) way to get the current timestamp as an integer.
+  var now = Date.now || function() {
+    return new Date().getTime();
+  };
+
+  // Internal helper to generate functions for escaping and unescaping strings
+  // to/from HTML interpolation.
+  function createEscaper(map) {
+    var escaper = function(match) {
+      return map[match];
+    };
+    // Regexes for identifying a key that needs to be escaped.
+    var source = '(?:' + keys(map).join('|') + ')';
+    var testRegexp = RegExp(source);
+    var replaceRegexp = RegExp(source, 'g');
+    return function(string) {
+      string = string == null ? '' : '' + string;
+      return testRegexp.test(string) ? string.replace(replaceRegexp, escaper) : string;
+    };
+  }
+
+  // Internal list of HTML entities for escaping.
+  var escapeMap = {
+    '&': '&amp;',
+    '<': '&lt;',
+    '>': '&gt;',
+    '"': '&quot;',
+    "'": '&#x27;',
+    '`': '&#x60;'
+  };
+
+  // Function for escaping strings to HTML interpolation.
+  var _escape = createEscaper(escapeMap);
+
+  // Internal list of HTML entities for unescaping.
+  var unescapeMap = invert(escapeMap);
+
+  // Function for unescaping strings from HTML interpolation.
+  var _unescape = createEscaper(unescapeMap);
+
+  // By default, Underscore uses ERB-style template delimiters. Change the
+  // following template settings to use alternative delimiters.
+  var templateSettings = _$1.templateSettings = {
+    evaluate: /<%([\s\S]+?)%>/g,
+    interpolate: /<%=([\s\S]+?)%>/g,
+    escape: /<%-([\s\S]+?)%>/g
+  };
+
+  // When customizing `_.templateSettings`, if you don't want to define an
+  // interpolation, evaluation or escaping regex, we need one that is
+  // guaranteed not to match.
+  var noMatch = /(.)^/;
+
+  // Certain characters need to be escaped so that they can be put into a
+  // string literal.
+  var escapes = {
+    "'": "'",
+    '\\': '\\',
+    '\r': 'r',
+    '\n': 'n',
+    '\u2028': 'u2028',
+    '\u2029': 'u2029'
+  };
+
+  var escapeRegExp = /\\|'|\r|\n|\u2028|\u2029/g;
+
+  function escapeChar(match) {
+    return '\\' + escapes[match];
+  }
+
+  // In order to prevent third-party code injection through
+  // `_.templateSettings.variable`, we test it against the following regular
+  // expression. It is intentionally a bit more liberal than just matching valid
+  // identifiers, but still prevents possible loopholes through defaults or
+  // destructuring assignment.
+  var bareIdentifier = /^\s*(\w|\$)+\s*$/;
+
+  // JavaScript micro-templating, similar to John Resig's implementation.
+  // Underscore templating handles arbitrary delimiters, preserves whitespace,
+  // and correctly escapes quotes within interpolated code.
+  // NB: `oldSettings` only exists for backwards compatibility.
+  function template(text, settings, oldSettings) {
+    if (!settings && oldSettings) settings = oldSettings;
+    settings = defaults({}, settings, _$1.templateSettings);
+
+    // Combine delimiters into one regular expression via alternation.
+    var matcher = RegExp([
+      (settings.escape || noMatch).source,
+      (settings.interpolate || noMatch).source,
+      (settings.evaluate || noMatch).source
+    ].join('|') + '|$', 'g');
+
+    // Compile the template source, escaping string literals appropriately.
+    var index = 0;
+    var source = "__p+='";
+    text.replace(matcher, function(match, escape, interpolate, evaluate, offset) {
+      source += text.slice(index, offset).replace(escapeRegExp, escapeChar);
+      index = offset + match.length;
+
+      if (escape) {
+        source += "'+\n((__t=(" + escape + "))==null?'':_.escape(__t))+\n'";
+      } else if (interpolate) {
+        source += "'+\n((__t=(" + interpolate + "))==null?'':__t)+\n'";
+      } else if (evaluate) {
+        source += "';\n" + evaluate + "\n__p+='";
+      }
+
+      // Adobe VMs need the match returned to produce the correct offset.
+      return match;
+    });
+    source += "';\n";
+
+    var argument = settings.variable;
+    if (argument) {
+      // Insure against third-party code injection. (CVE-2021-23358)
+      if (!bareIdentifier.test(argument)) throw new Error(
+        'variable is not a bare identifier: ' + argument
+      );
+    } else {
+      // If a variable is not specified, place data values in local scope.
+      source = 'with(obj||{}){\n' + source + '}\n';
+      argument = 'obj';
+    }
+
+    source = "var __t,__p='',__j=Array.prototype.join," +
+      "print=function(){__p+=__j.call(arguments,'');};\n" +
+      source + 'return __p;\n';
+
+    var render;
+    try {
+      render = new Function(argument, '_', source);
+    } catch (e) {
+      e.source = source;
+      throw e;
+    }
+
+    var template = function(data) {
+      return render.call(this, data, _$1);
+    };
+
+    // Provide the compiled source as a convenience for precompilation.
+    template.source = 'function(' + argument + '){\n' + source + '}';
+
+    return template;
+  }
+
+  // Traverses the children of `obj` along `path`. If a child is a function, it
+  // is invoked with its parent as context. Returns the value of the final
+  // child, or `fallback` if any child is undefined.
+  function result(obj, path, fallback) {
+    path = toPath(path);
+    var length = path.length;
+    if (!length) {
+      return isFunction$1(fallback) ? fallback.call(obj) : fallback;
+    }
+    for (var i = 0; i < length; i++) {
+      var prop = obj == null ? void 0 : obj[path[i]];
+      if (prop === void 0) {
+        prop = fallback;
+        i = length; // Ensure we don't continue iterating.
+      }
+      obj = isFunction$1(prop) ? prop.call(obj) : prop;
+    }
+    return obj;
+  }
+
+  // Generate a unique integer id (unique within the entire client session).
+  // Useful for temporary DOM ids.
+  var idCounter = 0;
+  function uniqueId(prefix) {
+    var id = ++idCounter + '';
+    return prefix ? prefix + id : id;
+  }
+
+  // Start chaining a wrapped Underscore object.
+  function chain(obj) {
+    var instance = _$1(obj);
+    instance._chain = true;
+    return instance;
+  }
+
+  // Internal function to execute `sourceFunc` bound to `context` with optional
+  // `args`. Determines whether to execute a function as a constructor or as a
+  // normal function.
+  function executeBound(sourceFunc, boundFunc, context, callingContext, args) {
+    if (!(callingContext instanceof boundFunc)) return sourceFunc.apply(context, args);
+    var self = baseCreate(sourceFunc.prototype);
+    var result = sourceFunc.apply(self, args);
+    if (isObject(result)) return result;
+    return self;
+  }
+
+  // Partially apply a function by creating a version that has had some of its
+  // arguments pre-filled, without changing its dynamic `this` context. `_` acts
+  // as a placeholder by default, allowing any combination of arguments to be
+  // pre-filled. Set `_.partial.placeholder` for a custom placeholder argument.
+  var partial = restArguments(function(func, boundArgs) {
+    var placeholder = partial.placeholder;
+    var bound = function() {
+      var position = 0, length = boundArgs.length;
+      var args = Array(length);
+      for (var i = 0; i < length; i++) {
+        args[i] = boundArgs[i] === placeholder ? arguments[position++] : boundArgs[i];
+      }
+      while (position < arguments.length) args.push(arguments[position++]);
+      return executeBound(func, bound, this, this, args);
+    };
+    return bound;
+  });
+
+  partial.placeholder = _$1;
+
+  // Create a function bound to a given object (assigning `this`, and arguments,
+  // optionally).
+  var bind = restArguments(function(func, context, args) {
+    if (!isFunction$1(func)) throw new TypeError('Bind must be called on a function');
+    var bound = restArguments(function(callArgs) {
+      return executeBound(func, bound, context, this, args.concat(callArgs));
+    });
+    return bound;
+  });
+
+  // Internal helper for collection methods to determine whether a collection
+  // should be iterated as an array or as an object.
+  // Related: https://people.mozilla.org/~jorendorff/es6-draft.html#sec-tolength
+  // Avoids a very nasty iOS 8 JIT bug on ARM-64. #2094
+  var isArrayLike = createSizePropertyCheck(getLength);
+
+  // Internal implementation of a recursive `flatten` function.
+  function flatten$1(input, depth, strict, output) {
+    output = output || [];
+    if (!depth && depth !== 0) {
+      depth = Infinity;
+    } else if (depth <= 0) {
+      return output.concat(input);
+    }
+    var idx = output.length;
+    for (var i = 0, length = getLength(input); i < length; i++) {
+      var value = input[i];
+      if (isArrayLike(value) && (isArray(value) || isArguments$1(value))) {
+        // Flatten current level of array or arguments object.
+        if (depth > 1) {
+          flatten$1(value, depth - 1, strict, output);
+          idx = output.length;
+        } else {
+          var j = 0, len = value.length;
+          while (j < len) output[idx++] = value[j++];
+        }
+      } else if (!strict) {
+        output[idx++] = value;
+      }
+    }
+    return output;
+  }
+
+  // Bind a number of an object's methods to that object. Remaining arguments
+  // are the method names to be bound. Useful for ensuring that all callbacks
+  // defined on an object belong to it.
+  var bindAll = restArguments(function(obj, keys) {
+    keys = flatten$1(keys, false, false);
+    var index = keys.length;
+    if (index < 1) throw new Error('bindAll must be passed function names');
+    while (index--) {
+      var key = keys[index];
+      obj[key] = bind(obj[key], obj);
+    }
+    return obj;
+  });
+
+  // Memoize an expensive function by storing its results.
+  function memoize(func, hasher) {
+    var memoize = function(key) {
+      var cache = memoize.cache;
+      var address = '' + (hasher ? hasher.apply(this, arguments) : key);
+      if (!has$1(cache, address)) cache[address] = func.apply(this, arguments);
+      return cache[address];
+    };
+    memoize.cache = {};
+    return memoize;
+  }
+
+  // Delays a function for the given number of milliseconds, and then calls
+  // it with the arguments supplied.
+  var delay = restArguments(function(func, wait, args) {
+    return setTimeout(function() {
+      return func.apply(null, args);
+    }, wait);
+  });
+
+  // Defers a function, scheduling it to run after the current call stack has
+  // cleared.
+  var defer = partial(delay, _$1, 1);
+
+  // Returns a function, that, when invoked, will only be triggered at most once
+  // during a given window of time. Normally, the throttled function will run
+  // as much as it can, without ever going more than once per `wait` duration;
+  // but if you'd like to disable the execution on the leading edge, pass
+  // `{leading: false}`. To disable execution on the trailing edge, ditto.
+  function throttle(func, wait, options) {
+    var timeout, context, args, result;
+    var previous = 0;
+    if (!options) options = {};
+
+    var later = function() {
+      previous = options.leading === false ? 0 : now();
+      timeout = null;
+      result = func.apply(context, args);
+      if (!timeout) context = args = null;
+    };
+
+    var throttled = function() {
+      var _now = now();
+      if (!previous && options.leading === false) previous = _now;
+      var remaining = wait - (_now - previous);
+      context = this;
+      args = arguments;
+      if (remaining <= 0 || remaining > wait) {
+        if (timeout) {
+          clearTimeout(timeout);
+          timeout = null;
+        }
+        previous = _now;
+        result = func.apply(context, args);
+        if (!timeout) context = args = null;
+      } else if (!timeout && options.trailing !== false) {
+        timeout = setTimeout(later, remaining);
+      }
+      return result;
+    };
+
+    throttled.cancel = function() {
+      clearTimeout(timeout);
+      previous = 0;
+      timeout = context = args = null;
+    };
+
+    return throttled;
+  }
+
+  // When a sequence of calls of the returned function ends, the argument
+  // function is triggered. The end of a sequence is defined by the `wait`
+  // parameter. If `immediate` is passed, the argument function will be
+  // triggered at the beginning of the sequence instead of at the end.
+  function debounce(func, wait, immediate) {
+    var timeout, previous, args, result, context;
+
+    var later = function() {
+      var passed = now() - previous;
+      if (wait > passed) {
+        timeout = setTimeout(later, wait - passed);
+      } else {
+        timeout = null;
+        if (!immediate) result = func.apply(context, args);
+        // This check is needed because `func` can recursively invoke `debounced`.
+        if (!timeout) args = context = null;
+      }
+    };
+
+    var debounced = restArguments(function(_args) {
+      context = this;
+      args = _args;
+      previous = now();
+      if (!timeout) {
+        timeout = setTimeout(later, wait);
+        if (immediate) result = func.apply(context, args);
+      }
+      return result;
+    });
+
+    debounced.cancel = function() {
+      clearTimeout(timeout);
+      timeout = args = context = null;
+    };
+
+    return debounced;
+  }
+
+  // Returns the first function passed as an argument to the second,
+  // allowing you to adjust arguments, run code before and after, and
+  // conditionally execute the original function.
+  function wrap(func, wrapper) {
+    return partial(wrapper, func);
+  }
+
+  // Returns a negated version of the passed-in predicate.
+  function negate(predicate) {
+    return function() {
+      return !predicate.apply(this, arguments);
+    };
+  }
+
+  // Returns a function that is the composition of a list of functions, each
+  // consuming the return value of the function that follows.
+  function compose() {
+    var args = arguments;
+    var start = args.length - 1;
+    return function() {
+      var i = start;
+      var result = args[start].apply(this, arguments);
+      while (i--) result = args[i].call(this, result);
+      return result;
+    };
+  }
+
+  // Returns a function that will only be executed on and after the Nth call.
+  function after(times, func) {
+    return function() {
+      if (--times < 1) {
+        return func.apply(this, arguments);
+      }
+    };
+  }
+
+  // Returns a function that will only be executed up to (but not including) the
+  // Nth call.
+  function before(times, func) {
+    var memo;
+    return function() {
+      if (--times > 0) {
+        memo = func.apply(this, arguments);
+      }
+      if (times <= 1) func = null;
+      return memo;
+    };
+  }
+
+  // Returns a function that will be executed at most one time, no matter how
+  // often you call it. Useful for lazy initialization.
+  var once = partial(before, 2);
+
+  // Returns the first key on an object that passes a truth test.
+  function findKey(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = keys(obj), key;
+    for (var i = 0, length = _keys.length; i < length; i++) {
+      key = _keys[i];
+      if (predicate(obj[key], key, obj)) return key;
+    }
+  }
+
+  // Internal function to generate `_.findIndex` and `_.findLastIndex`.
+  function createPredicateIndexFinder(dir) {
+    return function(array, predicate, context) {
+      predicate = cb(predicate, context);
+      var length = getLength(array);
+      var index = dir > 0 ? 0 : length - 1;
+      for (; index >= 0 && index < length; index += dir) {
+        if (predicate(array[index], index, array)) return index;
+      }
+      return -1;
+    };
+  }
+
+  // Returns the first index on an array-like that passes a truth test.
+  var findIndex = createPredicateIndexFinder(1);
+
+  // Returns the last index on an array-like that passes a truth test.
+  var findLastIndex = createPredicateIndexFinder(-1);
+
+  // Use a comparator function to figure out the smallest index at which
+  // an object should be inserted so as to maintain order. Uses binary search.
+  function sortedIndex(array, obj, iteratee, context) {
+    iteratee = cb(iteratee, context, 1);
+    var value = iteratee(obj);
+    var low = 0, high = getLength(array);
+    while (low < high) {
+      var mid = Math.floor((low + high) / 2);
+      if (iteratee(array[mid]) < value) low = mid + 1; else high = mid;
+    }
+    return low;
+  }
+
+  // Internal function to generate the `_.indexOf` and `_.lastIndexOf` functions.
+  function createIndexFinder(dir, predicateFind, sortedIndex) {
+    return function(array, item, idx) {
+      var i = 0, length = getLength(array);
+      if (typeof idx == 'number') {
+        if (dir > 0) {
+          i = idx >= 0 ? idx : Math.max(idx + length, i);
+        } else {
+          length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1;
+        }
+      } else if (sortedIndex && idx && length) {
+        idx = sortedIndex(array, item);
+        return array[idx] === item ? idx : -1;
+      }
+      if (item !== item) {
+        idx = predicateFind(slice.call(array, i, length), isNaN$1);
+        return idx >= 0 ? idx + i : -1;
+      }
+      for (idx = dir > 0 ? i : length - 1; idx >= 0 && idx < length; idx += dir) {
+        if (array[idx] === item) return idx;
+      }
+      return -1;
+    };
+  }
+
+  // Return the position of the first occurrence of an item in an array,
+  // or -1 if the item is not included in the array.
+  // If the array is large and already in sort order, pass `true`
+  // for **isSorted** to use binary search.
+  var indexOf = createIndexFinder(1, findIndex, sortedIndex);
+
+  // Return the position of the last occurrence of an item in an array,
+  // or -1 if the item is not included in the array.
+  var lastIndexOf = createIndexFinder(-1, findLastIndex);
+
+  // Return the first value which passes a truth test.
+  function find(obj, predicate, context) {
+    var keyFinder = isArrayLike(obj) ? findIndex : findKey;
+    var key = keyFinder(obj, predicate, context);
+    if (key !== void 0 && key !== -1) return obj[key];
+  }
+
+  // Convenience version of a common use case of `_.find`: getting the first
+  // object containing specific `key:value` pairs.
+  function findWhere(obj, attrs) {
+    return find(obj, matcher(attrs));
+  }
+
+  // The cornerstone for collection functions, an `each`
+  // implementation, aka `forEach`.
+  // Handles raw objects in addition to array-likes. Treats all
+  // sparse array-likes as if they were dense.
+  function each(obj, iteratee, context) {
+    iteratee = optimizeCb(iteratee, context);
+    var i, length;
+    if (isArrayLike(obj)) {
+      for (i = 0, length = obj.length; i < length; i++) {
+        iteratee(obj[i], i, obj);
+      }
+    } else {
+      var _keys = keys(obj);
+      for (i = 0, length = _keys.length; i < length; i++) {
+        iteratee(obj[_keys[i]], _keys[i], obj);
+      }
+    }
+    return obj;
+  }
+
+  // Return the results of applying the iteratee to each element.
+  function map(obj, iteratee, context) {
+    iteratee = cb(iteratee, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length,
+        results = Array(length);
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      results[index] = iteratee(obj[currentKey], currentKey, obj);
+    }
+    return results;
+  }
+
+  // Internal helper to create a reducing function, iterating left or right.
+  function createReduce(dir) {
+    // Wrap code that reassigns argument variables in a separate function than
+    // the one that accesses `arguments.length` to avoid a perf hit. (#1991)
+    var reducer = function(obj, iteratee, memo, initial) {
+      var _keys = !isArrayLike(obj) && keys(obj),
+          length = (_keys || obj).length,
+          index = dir > 0 ? 0 : length - 1;
+      if (!initial) {
+        memo = obj[_keys ? _keys[index] : index];
+        index += dir;
+      }
+      for (; index >= 0 && index < length; index += dir) {
+        var currentKey = _keys ? _keys[index] : index;
+        memo = iteratee(memo, obj[currentKey], currentKey, obj);
+      }
+      return memo;
+    };
+
+    return function(obj, iteratee, memo, context) {
+      var initial = arguments.length >= 3;
+      return reducer(obj, optimizeCb(iteratee, context, 4), memo, initial);
+    };
+  }
+
+  // **Reduce** builds up a single result from a list of values, aka `inject`,
+  // or `foldl`.
+  var reduce = createReduce(1);
+
+  // The right-associative version of reduce, also known as `foldr`.
+  var reduceRight = createReduce(-1);
+
+  // Return all the elements that pass a truth test.
+  function filter(obj, predicate, context) {
+    var results = [];
+    predicate = cb(predicate, context);
+    each(obj, function(value, index, list) {
+      if (predicate(value, index, list)) results.push(value);
+    });
+    return results;
+  }
+
+  // Return all the elements for which a truth test fails.
+  function reject(obj, predicate, context) {
+    return filter(obj, negate(cb(predicate)), context);
+  }
+
+  // Determine whether all of the elements pass a truth test.
+  function every(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length;
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      if (!predicate(obj[currentKey], currentKey, obj)) return false;
+    }
+    return true;
+  }
+
+  // Determine if at least one element in the object passes a truth test.
+  function some(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length;
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      if (predicate(obj[currentKey], currentKey, obj)) return true;
+    }
+    return false;
+  }
+
+  // Determine if the array or object contains a given item (using `===`).
+  function contains(obj, item, fromIndex, guard) {
+    if (!isArrayLike(obj)) obj = values(obj);
+    if (typeof fromIndex != 'number' || guard) fromIndex = 0;
+    return indexOf(obj, item, fromIndex) >= 0;
+  }
+
+  // Invoke a method (with arguments) on every item in a collection.
+  var invoke = restArguments(function(obj, path, args) {
+    var contextPath, func;
+    if (isFunction$1(path)) {
+      func = path;
+    } else {
+      path = toPath(path);
+      contextPath = path.slice(0, -1);
+      path = path[path.length - 1];
+    }
+    return map(obj, function(context) {
+      var method = func;
+      if (!method) {
+        if (contextPath && contextPath.length) {
+          context = deepGet(context, contextPath);
+        }
+        if (context == null) return void 0;
+        method = context[path];
+      }
+      return method == null ? method : method.apply(context, args);
+    });
+  });
+
+  // Convenience version of a common use case of `_.map`: fetching a property.
+  function pluck(obj, key) {
+    return map(obj, property(key));
+  }
+
+  // Convenience version of a common use case of `_.filter`: selecting only
+  // objects containing specific `key:value` pairs.
+  function where(obj, attrs) {
+    return filter(obj, matcher(attrs));
+  }
+
+  // Return the maximum element (or element-based computation).
+  function max(obj, iteratee, context) {
+    var result = -Infinity, lastComputed = -Infinity,
+        value, computed;
+    if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) {
+      obj = isArrayLike(obj) ? obj : values(obj);
+      for (var i = 0, length = obj.length; i < length; i++) {
+        value = obj[i];
+        if (value != null && value > result) {
+          result = value;
+        }
+      }
+    } else {
+      iteratee = cb(iteratee, context);
+      each(obj, function(v, index, list) {
+        computed = iteratee(v, index, list);
+        if (computed > lastComputed || computed === -Infinity && result === -Infinity) {
+          result = v;
+          lastComputed = computed;
+        }
+      });
+    }
+    return result;
+  }
+
+  // Return the minimum element (or element-based computation).
+  function min(obj, iteratee, context) {
+    var result = Infinity, lastComputed = Infinity,
+        value, computed;
+    if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) {
+      obj = isArrayLike(obj) ? obj : values(obj);
+      for (var i = 0, length = obj.length; i < length; i++) {
+        value = obj[i];
+        if (value != null && value < result) {
+          result = value;
+        }
+      }
+    } else {
+      iteratee = cb(iteratee, context);
+      each(obj, function(v, index, list) {
+        computed = iteratee(v, index, list);
+        if (computed < lastComputed || computed === Infinity && result === Infinity) {
+          result = v;
+          lastComputed = computed;
+        }
+      });
+    }
+    return result;
+  }
+
+  // Sample **n** random values from a collection using the modern version of the
+  // [Fisher-Yates shuffle](https://en.wikipedia.org/wiki/Fisher–Yates_shuffle).
+  // If **n** is not specified, returns a single random element.
+  // The internal `guard` argument allows it to work with `_.map`.
+  function sample(obj, n, guard) {
+    if (n == null || guard) {
+      if (!isArrayLike(obj)) obj = values(obj);
+      return obj[random(obj.length - 1)];
+    }
+    var sample = isArrayLike(obj) ? clone(obj) : values(obj);
+    var length = getLength(sample);
+    n = Math.max(Math.min(n, length), 0);
+    var last = length - 1;
+    for (var index = 0; index < n; index++) {
+      var rand = random(index, last);
+      var temp = sample[index];
+      sample[index] = sample[rand];
+      sample[rand] = temp;
+    }
+    return sample.slice(0, n);
+  }
+
+  // Shuffle a collection.
+  function shuffle(obj) {
+    return sample(obj, Infinity);
+  }
+
+  // Sort the object's values by a criterion produced by an iteratee.
+  function sortBy(obj, iteratee, context) {
+    var index = 0;
+    iteratee = cb(iteratee, context);
+    return pluck(map(obj, function(value, key, list) {
+      return {
+        value: value,
+        index: index++,
+        criteria: iteratee(value, key, list)
+      };
+    }).sort(function(left, right) {
+      var a = left.criteria;
+      var b = right.criteria;
+      if (a !== b) {
+        if (a > b || a === void 0) return 1;
+        if (a < b || b === void 0) return -1;
+      }
+      return left.index - right.index;
+    }), 'value');
+  }
+
+  // An internal function used for aggregate "group by" operations.
+  function group(behavior, partition) {
+    return function(obj, iteratee, context) {
+      var result = partition ? [[], []] : {};
+      iteratee = cb(iteratee, context);
+      each(obj, function(value, index) {
+        var key = iteratee(value, index, obj);
+        behavior(result, value, key);
+      });
+      return result;
+    };
+  }
+
+  // Groups the object's values by a criterion. Pass either a string attribute
+  // to group by, or a function that returns the criterion.
+  var groupBy = group(function(result, value, key) {
+    if (has$1(result, key)) result[key].push(value); else result[key] = [value];
+  });
+
+  // Indexes the object's values by a criterion, similar to `_.groupBy`, but for
+  // when you know that your index values will be unique.
+  var indexBy = group(function(result, value, key) {
+    result[key] = value;
+  });
+
+  // Counts instances of an object that group by a certain criterion. Pass
+  // either a string attribute to count by, or a function that returns the
+  // criterion.
+  var countBy = group(function(result, value, key) {
+    if (has$1(result, key)) result[key]++; else result[key] = 1;
+  });
+
+  // Split a collection into two arrays: one whose elements all pass the given
+  // truth test, and one whose elements all do not pass the truth test.
+  var partition = group(function(result, value, pass) {
+    result[pass ? 0 : 1].push(value);
+  }, true);
+
+  // Safely create a real, live array from anything iterable.
+  var reStrSymbol = /[^\ud800-\udfff]|[\ud800-\udbff][\udc00-\udfff]|[\ud800-\udfff]/g;
+  function toArray(obj) {
+    if (!obj) return [];
+    if (isArray(obj)) return slice.call(obj);
+    if (isString(obj)) {
+      // Keep surrogate pair characters together.
+      return obj.match(reStrSymbol);
+    }
+    if (isArrayLike(obj)) return map(obj, identity);
+    return values(obj);
+  }
+
+  // Return the number of elements in a collection.
+  function size(obj) {
+    if (obj == null) return 0;
+    return isArrayLike(obj) ? obj.length : keys(obj).length;
+  }
+
+  // Internal `_.pick` helper function to determine whether `key` is an enumerable
+  // property name of `obj`.
+  function keyInObj(value, key, obj) {
+    return key in obj;
+  }
+
+  // Return a copy of the object only containing the allowed properties.
+  var pick = restArguments(function(obj, keys) {
+    var result = {}, iteratee = keys[0];
+    if (obj == null) return result;
+    if (isFunction$1(iteratee)) {
+      if (keys.length > 1) iteratee = optimizeCb(iteratee, keys[1]);
+      keys = allKeys(obj);
+    } else {
+      iteratee = keyInObj;
+      keys = flatten$1(keys, false, false);
+      obj = Object(obj);
+    }
+    for (var i = 0, length = keys.length; i < length; i++) {
+      var key = keys[i];
+      var value = obj[key];
+      if (iteratee(value, key, obj)) result[key] = value;
+    }
+    return result;
+  });
+
+  // Return a copy of the object without the disallowed properties.
+  var omit = restArguments(function(obj, keys) {
+    var iteratee = keys[0], context;
+    if (isFunction$1(iteratee)) {
+      iteratee = negate(iteratee);
+      if (keys.length > 1) context = keys[1];
+    } else {
+      keys = map(flatten$1(keys, false, false), String);
+      iteratee = function(value, key) {
+        return !contains(keys, key);
+      };
+    }
+    return pick(obj, iteratee, context);
+  });
+
+  // Returns everything but the last entry of the array. Especially useful on
+  // the arguments object. Passing **n** will return all the values in
+  // the array, excluding the last N.
+  function initial(array, n, guard) {
+    return slice.call(array, 0, Math.max(0, array.length - (n == null || guard ? 1 : n)));
+  }
+
+  // Get the first element of an array. Passing **n** will return the first N
+  // values in the array. The **guard** check allows it to work with `_.map`.
+  function first(array, n, guard) {
+    if (array == null || array.length < 1) return n == null || guard ? void 0 : [];
+    if (n == null || guard) return array[0];
+    return initial(array, array.length - n);
+  }
+
+  // Returns everything but the first entry of the `array`. Especially useful on
+  // the `arguments` object. Passing an **n** will return the rest N values in the
+  // `array`.
+  function rest(array, n, guard) {
+    return slice.call(array, n == null || guard ? 1 : n);
+  }
+
+  // Get the last element of an array. Passing **n** will return the last N
+  // values in the array.
+  function last(array, n, guard) {
+    if (array == null || array.length < 1) return n == null || guard ? void 0 : [];
+    if (n == null || guard) return array[array.length - 1];
+    return rest(array, Math.max(0, array.length - n));
+  }
+
+  // Trim out all falsy values from an array.
+  function compact(array) {
+    return filter(array, Boolean);
+  }
+
+  // Flatten out an array, either recursively (by default), or up to `depth`.
+  // Passing `true` or `false` as `depth` means `1` or `Infinity`, respectively.
+  function flatten(array, depth) {
+    return flatten$1(array, depth, false);
+  }
+
+  // Take the difference between one array and a number of other arrays.
+  // Only the elements present in just the first array will remain.
+  var difference = restArguments(function(array, rest) {
+    rest = flatten$1(rest, true, true);
+    return filter(array, function(value){
+      return !contains(rest, value);
+    });
+  });
+
+  // Return a version of the array that does not contain the specified value(s).
+  var without = restArguments(function(array, otherArrays) {
+    return difference(array, otherArrays);
+  });
+
+  // Produce a duplicate-free version of the array. If the array has already
+  // been sorted, you have the option of using a faster algorithm.
+  // The faster algorithm will not work with an iteratee if the iteratee
+  // is not a one-to-one function, so providing an iteratee will disable
+  // the faster algorithm.
+  function uniq(array, isSorted, iteratee, context) {
+    if (!isBoolean(isSorted)) {
+      context = iteratee;
+      iteratee = isSorted;
+      isSorted = false;
+    }
+    if (iteratee != null) iteratee = cb(iteratee, context);
+    var result = [];
+    var seen = [];
+    for (var i = 0, length = getLength(array); i < length; i++) {
+      var value = array[i],
+          computed = iteratee ? iteratee(value, i, array) : value;
+      if (isSorted && !iteratee) {
+        if (!i || seen !== computed) result.push(value);
+        seen = computed;
+      } else if (iteratee) {
+        if (!contains(seen, computed)) {
+          seen.push(computed);
+          result.push(value);
+        }
+      } else if (!contains(result, value)) {
+        result.push(value);
+      }
+    }
+    return result;
+  }
+
+  // Produce an array that contains the union: each distinct element from all of
+  // the passed-in arrays.
+  var union = restArguments(function(arrays) {
+    return uniq(flatten$1(arrays, true, true));
+  });
+
+  // Produce an array that contains every item shared between all the
+  // passed-in arrays.
+  function intersection(array) {
+    var result = [];
+    var argsLength = arguments.length;
+    for (var i = 0, length = getLength(array); i < length; i++) {
+      var item = array[i];
+      if (contains(result, item)) continue;
+      var j;
+      for (j = 1; j < argsLength; j++) {
+        if (!contains(arguments[j], item)) break;
+      }
+      if (j === argsLength) result.push(item);
+    }
+    return result;
+  }
+
+  // Complement of zip. Unzip accepts an array of arrays and groups
+  // each array's elements on shared indices.
+  function unzip(array) {
+    var length = array && max(array, getLength).length || 0;
+    var result = Array(length);
+
+    for (var index = 0; index < length; index++) {
+      result[index] = pluck(array, index);
+    }
+    return result;
+  }
+
+  // Zip together multiple lists into a single array -- elements that share
+  // an index go together.
+  var zip = restArguments(unzip);
+
+  // Converts lists into objects. Pass either a single array of `[key, value]`
+  // pairs, or two parallel arrays of the same length -- one of keys, and one of
+  // the corresponding values. Passing by pairs is the reverse of `_.pairs`.
+  function object(list, values) {
+    var result = {};
+    for (var i = 0, length = getLength(list); i < length; i++) {
+      if (values) {
+        result[list[i]] = values[i];
+      } else {
+        result[list[i][0]] = list[i][1];
+      }
+    }
+    return result;
+  }
+
+  // Generate an integer Array containing an arithmetic progression. A port of
+  // the native Python `range()` function. See
+  // [the Python documentation](https://docs.python.org/library/functions.html#range).
+  function range(start, stop, step) {
+    if (stop == null) {
+      stop = start || 0;
+      start = 0;
+    }
+    if (!step) {
+      step = stop < start ? -1 : 1;
+    }
+
+    var length = Math.max(Math.ceil((stop - start) / step), 0);
+    var range = Array(length);
+
+    for (var idx = 0; idx < length; idx++, start += step) {
+      range[idx] = start;
+    }
+
+    return range;
+  }
+
+  // Chunk a single array into multiple arrays, each containing `count` or fewer
+  // items.
+  function chunk(array, count) {
+    if (count == null || count < 1) return [];
+    var result = [];
+    var i = 0, length = array.length;
+    while (i < length) {
+      result.push(slice.call(array, i, i += count));
+    }
+    return result;
+  }
+
+  // Helper function to continue chaining intermediate results.
+  function chainResult(instance, obj) {
+    return instance._chain ? _$1(obj).chain() : obj;
+  }
+
+  // Add your own custom functions to the Underscore object.
+  function mixin(obj) {
+    each(functions(obj), function(name) {
+      var func = _$1[name] = obj[name];
+      _$1.prototype[name] = function() {
+        var args = [this._wrapped];
+        push.apply(args, arguments);
+        return chainResult(this, func.apply(_$1, args));
+      };
+    });
+    return _$1;
+  }
+
+  // Add all mutator `Array` functions to the wrapper.
+  each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) {
+    var method = ArrayProto[name];
+    _$1.prototype[name] = function() {
+      var obj = this._wrapped;
+      if (obj != null) {
+        method.apply(obj, arguments);
+        if ((name === 'shift' || name === 'splice') && obj.length === 0) {
+          delete obj[0];
+        }
+      }
+      return chainResult(this, obj);
+    };
+  });
+
+  // Add all accessor `Array` functions to the wrapper.
+  each(['concat', 'join', 'slice'], function(name) {
+    var method = ArrayProto[name];
+    _$1.prototype[name] = function() {
+      var obj = this._wrapped;
+      if (obj != null) obj = method.apply(obj, arguments);
+      return chainResult(this, obj);
+    };
+  });
+
+  // Named Exports
+
+  var allExports = {
+    __proto__: null,
+    VERSION: VERSION,
+    restArguments: restArguments,
+    isObject: isObject,
+    isNull: isNull,
+    isUndefined: isUndefined,
+    isBoolean: isBoolean,
+    isElement: isElement,
+    isString: isString,
+    isNumber: isNumber,
+    isDate: isDate,
+    isRegExp: isRegExp,
+    isError: isError,
+    isSymbol: isSymbol,
+    isArrayBuffer: isArrayBuffer,
+    isDataView: isDataView$1,
+    isArray: isArray,
+    isFunction: isFunction$1,
+    isArguments: isArguments$1,
+    isFinite: isFinite$1,
+    isNaN: isNaN$1,
+    isTypedArray: isTypedArray$1,
+    isEmpty: isEmpty,
+    isMatch: isMatch,
+    isEqual: isEqual,
+    isMap: isMap,
+    isWeakMap: isWeakMap,
+    isSet: isSet,
+    isWeakSet: isWeakSet,
+    keys: keys,
+    allKeys: allKeys,
+    values: values,
+    pairs: pairs,
+    invert: invert,
+    functions: functions,
+    methods: functions,
+    extend: extend,
+    extendOwn: extendOwn,
+    assign: extendOwn,
+    defaults: defaults,
+    create: create,
+    clone: clone,
+    tap: tap,
+    get: get,
+    has: has,
+    mapObject: mapObject,
+    identity: identity,
+    constant: constant,
+    noop: noop,
+    toPath: toPath$1,
+    property: property,
+    propertyOf: propertyOf,
+    matcher: matcher,
+    matches: matcher,
+    times: times,
+    random: random,
+    now: now,
+    escape: _escape,
+    unescape: _unescape,
+    templateSettings: templateSettings,
+    template: template,
+    result: result,
+    uniqueId: uniqueId,
+    chain: chain,
+    iteratee: iteratee,
+    partial: partial,
+    bind: bind,
+    bindAll: bindAll,
+    memoize: memoize,
+    delay: delay,
+    defer: defer,
+    throttle: throttle,
+    debounce: debounce,
+    wrap: wrap,
+    negate: negate,
+    compose: compose,
+    after: after,
+    before: before,
+    once: once,
+    findKey: findKey,
+    findIndex: findIndex,
+    findLastIndex: findLastIndex,
+    sortedIndex: sortedIndex,
+    indexOf: indexOf,
+    lastIndexOf: lastIndexOf,
+    find: find,
+    detect: find,
+    findWhere: findWhere,
+    each: each,
+    forEach: each,
+    map: map,
+    collect: map,
+    reduce: reduce,
+    foldl: reduce,
+    inject: reduce,
+    reduceRight: reduceRight,
+    foldr: reduceRight,
+    filter: filter,
+    select: filter,
+    reject: reject,
+    every: every,
+    all: every,
+    some: some,
+    any: some,
+    contains: contains,
+    includes: contains,
+    include: contains,
+    invoke: invoke,
+    pluck: pluck,
+    where: where,
+    max: max,
+    min: min,
+    shuffle: shuffle,
+    sample: sample,
+    sortBy: sortBy,
+    groupBy: groupBy,
+    indexBy: indexBy,
+    countBy: countBy,
+    partition: partition,
+    toArray: toArray,
+    size: size,
+    pick: pick,
+    omit: omit,
+    first: first,
+    head: first,
+    take: first,
+    initial: initial,
+    last: last,
+    rest: rest,
+    tail: rest,
+    drop: rest,
+    compact: compact,
+    flatten: flatten,
+    without: without,
+    uniq: uniq,
+    unique: uniq,
+    union: union,
+    intersection: intersection,
+    difference: difference,
+    unzip: unzip,
+    transpose: unzip,
+    zip: zip,
+    object: object,
+    range: range,
+    chunk: chunk,
+    mixin: mixin,
+    'default': _$1
+  };
+
+  // Default Export
+
+  // Add all of the Underscore functions to the wrapper object.
+  var _ = mixin(allExports);
+  // Legacy Node.js API.
+  _._ = _;
+
+  return _;
+
+})));
+//# sourceMappingURL=underscore-umd.js.map
diff --git a/_static/underscore.js b/_static/underscore.js
new file mode 100644
index 0000000..cf177d4
--- /dev/null
+++ b/_static/underscore.js
@@ -0,0 +1,6 @@
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+//     Underscore.js 1.13.1
+//     https://underscorejs.org
+//     (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors
+//     Underscore may be freely distributed under the MIT license.
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+  <title>TorchFort API &mdash; torchfort 2023 documentation</title>
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+<li class="toctree-l1 current"><a class="current reference internal" href="#">TorchFort API</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/config.html">TorchFort Configuration Files</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/c_api.html">TorchFort C API</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api/f_api.html">TorchFort Fortran API</a></li>
+</ul>
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+  <section id="torchfort-api">
+<span id="api-label"></span><h1>TorchFort API<a class="headerlink" href="#torchfort-api" title="Permalink to this heading">¶</a></h1>
+<p>The following sections describe the types and functions available in the TorchFort library for C/C++ and Fortran programs and
+the also the configuration file structure and available options.</p>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="api/config.html">TorchFort Configuration Files</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/config.html#common">Common</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="api/config.html#general-properties">General Properties</a></li>
+<li class="toctree-l3"><a class="reference internal" href="api/config.html#optimizer-properties">Optimizer Properties</a></li>
+<li class="toctree-l3"><a class="reference internal" href="api/config.html#learning-rate-schedule-properties">Learning Rate Schedule Properties</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="api/config.html#supervised-learning">Supervised Learning</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="api/config.html#model-properties">Model Properties</a></li>
+<li class="toctree-l3"><a class="reference internal" href="api/config.html#loss-properties">Loss Properties</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="api/config.html#reinforcement-learning">Reinforcement Learning</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="api/config.html#reinforcement-learning-training-algorithm-properties">Reinforcement Learning Training Algorithm Properties</a></li>
+<li class="toctree-l3"><a class="reference internal" href="api/config.html#replay-buffer-properties">Replay Buffer Properties</a></li>
+<li class="toctree-l3"><a class="reference internal" href="api/config.html#action-properties">Action Properties</a></li>
+<li class="toctree-l3"><a class="reference internal" href="api/config.html#policy-and-critic-properties">Policy and Critic Properties</a></li>
+<li class="toctree-l3"><a class="reference internal" href="api/config.html#id1">Learning Rate Schedule Properties</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="api/c_api.html">TorchFort C API</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/c_api.html#general">General</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="api/c_api.html#types">Types</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-datatype-t">torchfort_datatype_t</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-result-t">torchfort_result_t</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="api/c_api.html#global-context-settings">Global Context Settings</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-set-cudnn-benchmark">torchfort_set_cudnn_benchmark</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="api/c_api.html#supervised-learning">Supervised Learning</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="api/c_api.html#model-creation">Model Creation</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-create-model">torchfort_create_model</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-create-distributed-model">torchfort_create_distributed_model</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="api/c_api.html#model-training-inference">Model Training/Inference</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-train">torchfort_train</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-inference">torchfort_inference</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="api/c_api.html#model-management">Model Management</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-save-model">torchfort_save_model</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-load-model">torchfort_load_model</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-save-checkpoint">torchfort_save_checkpoint</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-load-checkpoint">torchfort_load_checkpoint</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="api/c_api.html#weights-and-biases-logging">Weights and Biases Logging</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-wandb-log-int">torchfort_wandb_log_int</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-wandb-log-float">torchfort_wandb_log_float</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-wandb-log-double">torchfort_wandb_log_double</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="api/c_api.html#reinforcement-learning">Reinforcement Learning</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="api/c_api.html#system-creation">System Creation</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-rl-off-policy-create-system">torchfort_rl_off_policy_create_system</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-rl-off-policy-create-distributed-system">torchfort_rl_off_policy_create_distributed_system</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="api/c_api.html#training-evaluation">Training/Evaluation</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-rl-off-policy-train-step">torchfort_rl_off_policy_train_step</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-rl-off-policy-predict-explore">torchfort_rl_off_policy_predict_explore</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-rl-off-policy-predict">torchfort_rl_off_policy_predict</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-rl-off-policy-evaluate">torchfort_rl_off_policy_evaluate</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="api/c_api.html#system-management">System Management</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-rl-off-policy-update-replay-buffer">torchfort_rl_off_policy_update_replay_buffer</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-rl-off-policy-is-ready">torchfort_rl_off_policy_is_ready</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-rl-off-policy-save-checkpoint">torchfort_rl_off_policy_save_checkpoint</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-rl-off-policy-load-checkpoint">torchfort_rl_off_policy_load_checkpoint</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="api/c_api.html#id1">Weights and Biases Logging</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-rl-off-policy-wandb-log-int">torchfort_rl_off_policy_wandb_log_int</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-rl-off-policy-wandb-log-float">torchfort_rl_off_policy_wandb_log_float</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#torchfort-rl-off-policy-wandb-log-double">torchfort_rl_off_policy_wandb_log_double</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="api/f_api.html">TorchFort Fortran API</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/f_api.html#general">General</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="api/f_api.html#types">Types</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#torchfort-datatype">torchfort_datatype</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#torchfort-set-cudnn-benchmark">torchfort_set_cudnn_benchmark</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#torchfort-wandb-log-double">torchfort_wandb_log_double</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#torchfort-rl-off-policy-update-replay-buffer">torchfort_rl_off_policy_update_replay_buffer</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#torchfort-rl-off-policy-load-checkpoint">torchfort_rl_off_policy_load_checkpoint</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="api/f_api.html#id1">Weights and Biases Logging</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#torchfort-rl-off-policy-wandb-log-int">torchfort_rl_off_policy_wandb_log_int</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#torchfort-rl-off-policy-wandb-log-float">torchfort_rl_off_policy_wandb_log_float</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#torchfort-rl-off-policy-wandb-log-double">torchfort_rl_off_policy_wandb_log_double</a></li>
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+  <section id="torchfort-c-api">
+<span id="torchfort-api-c-ref"></span><h1>TorchFort C API<a class="headerlink" href="#torchfort-c-api" title="Permalink to this heading">¶</a></h1>
+<p>These are all the types and functions available in the TorchFort C API.</p>
+<section id="general">
+<h2>General<a class="headerlink" href="#general" title="Permalink to this heading">¶</a></h2>
+<section id="types">
+<h3>Types<a class="headerlink" href="#types" title="Permalink to this heading">¶</a></h3>
+<section id="torchfort-datatype-t">
+<span id="torchfort-datatype-t-ref"></span><h4>torchfort_datatype_t<a class="headerlink" href="#torchfort-datatype-t" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp enum">
+<dt class="sig sig-object cpp" id="_CPPv420torchfort_datatype_t">
+<span id="_CPPv320torchfort_datatype_t"></span><span id="_CPPv220torchfort_datatype_t"></span><span class="target" id="torchfort__enums_8h_1adc43a671d5af332a5fd8b646f50b0c1a"></span><span class="k"><span class="pre">enum</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_datatype_t</span></span></span><a class="headerlink" href="#_CPPv420torchfort_datatype_t" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>This enum defines the data types supported. </p>
+<p><em>Values:</em></p>
+<dl class="cpp enumerator">
+<dt class="sig sig-object cpp" id="_CPPv4N20torchfort_datatype_t15TORCHFORT_FLOATE">
+<span id="_CPPv3N20torchfort_datatype_t15TORCHFORT_FLOATE"></span><span id="_CPPv2N20torchfort_datatype_t15TORCHFORT_FLOATE"></span><span class="target" id="torchfort__enums_8h_1adc43a671d5af332a5fd8b646f50b0c1aa1068f1a74f54e65791c476f71c270403"></span><span class="k"><span class="pre">enumerator</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">TORCHFORT_FLOAT</span></span></span><a class="headerlink" href="#_CPPv4N20torchfort_datatype_t15TORCHFORT_FLOATE" title="Permalink to this definition">¶</a><br /></dt>
+<dd></dd></dl>
+
+<dl class="cpp enumerator">
+<dt class="sig sig-object cpp" id="_CPPv4N20torchfort_datatype_t16TORCHFORT_DOUBLEE">
+<span id="_CPPv3N20torchfort_datatype_t16TORCHFORT_DOUBLEE"></span><span id="_CPPv2N20torchfort_datatype_t16TORCHFORT_DOUBLEE"></span><span class="target" id="torchfort__enums_8h_1adc43a671d5af332a5fd8b646f50b0c1aa30784eff82577fd06be139605a167bd3"></span><span class="k"><span class="pre">enumerator</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">TORCHFORT_DOUBLE</span></span></span><a class="headerlink" href="#_CPPv4N20torchfort_datatype_t16TORCHFORT_DOUBLEE" title="Permalink to this definition">¶</a><br /></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-result-t">
+<span id="torchfort-result-t-ref"></span><h4>torchfort_result_t<a class="headerlink" href="#torchfort-result-t" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp enum">
+<dt class="sig sig-object cpp" id="_CPPv418torchfort_result_t">
+<span id="_CPPv318torchfort_result_t"></span><span id="_CPPv218torchfort_result_t"></span><span class="target" id="torchfort__enums_8h_1a210154fe45dae76f21c394953fa5ef1f"></span><span class="k"><span class="pre">enum</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_result_t</span></span></span><a class="headerlink" href="#_CPPv418torchfort_result_t" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>This enum defines the possible values return values from TorchFort. Most functions in the TorchFort library will return one of these values to indicate if an operation has completed successfully or an error occured. </p>
+<p><em>Values:</em></p>
+<dl class="cpp enumerator">
+<dt class="sig sig-object cpp" id="_CPPv4N18torchfort_result_t24TORCHFORT_RESULT_SUCCESSE">
+<span id="_CPPv3N18torchfort_result_t24TORCHFORT_RESULT_SUCCESSE"></span><span id="_CPPv2N18torchfort_result_t24TORCHFORT_RESULT_SUCCESSE"></span><span class="target" id="torchfort__enums_8h_1a210154fe45dae76f21c394953fa5ef1fa3f741593675143f91afb7298c86a7d5a"></span><span class="k"><span class="pre">enumerator</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></span></span><a class="headerlink" href="#_CPPv4N18torchfort_result_t24TORCHFORT_RESULT_SUCCESSE" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>The operation completed successfully. </p>
+</dd></dl>
+
+<dl class="cpp enumerator">
+<dt class="sig sig-object cpp" id="_CPPv4N18torchfort_result_t30TORCHFORT_RESULT_INVALID_USAGEE">
+<span id="_CPPv3N18torchfort_result_t30TORCHFORT_RESULT_INVALID_USAGEE"></span><span id="_CPPv2N18torchfort_result_t30TORCHFORT_RESULT_INVALID_USAGEE"></span><span class="target" id="torchfort__enums_8h_1a210154fe45dae76f21c394953fa5ef1fac937eb8d54f155b7afa90b77e407e537"></span><span class="k"><span class="pre">enumerator</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">TORCHFORT_RESULT_INVALID_USAGE</span></span></span><a class="headerlink" href="#_CPPv4N18torchfort_result_t30TORCHFORT_RESULT_INVALID_USAGEE" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>A user error, typically an invalid argument. </p>
+</dd></dl>
+
+<dl class="cpp enumerator">
+<dt class="sig sig-object cpp" id="_CPPv4N18torchfort_result_t30TORCHFORT_RESULT_NOT_SUPPORTEDE">
+<span id="_CPPv3N18torchfort_result_t30TORCHFORT_RESULT_NOT_SUPPORTEDE"></span><span id="_CPPv2N18torchfort_result_t30TORCHFORT_RESULT_NOT_SUPPORTEDE"></span><span class="target" id="torchfort__enums_8h_1a210154fe45dae76f21c394953fa5ef1fab2ebf5dbf831cc11079eaa803a2f9c09"></span><span class="k"><span class="pre">enumerator</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">TORCHFORT_RESULT_NOT_SUPPORTED</span></span></span><a class="headerlink" href="#_CPPv4N18torchfort_result_t30TORCHFORT_RESULT_NOT_SUPPORTEDE" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>A user error, requesting an invalid or unsupported operation configuration. </p>
+</dd></dl>
+
+<dl class="cpp enumerator">
+<dt class="sig sig-object cpp" id="_CPPv4N18torchfort_result_t31TORCHFORT_RESULT_INTERNAL_ERRORE">
+<span id="_CPPv3N18torchfort_result_t31TORCHFORT_RESULT_INTERNAL_ERRORE"></span><span id="_CPPv2N18torchfort_result_t31TORCHFORT_RESULT_INTERNAL_ERRORE"></span><span class="target" id="torchfort__enums_8h_1a210154fe45dae76f21c394953fa5ef1fa4d6cb3395dcb3e231b05f45b902cf600"></span><span class="k"><span class="pre">enumerator</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">TORCHFORT_RESULT_INTERNAL_ERROR</span></span></span><a class="headerlink" href="#_CPPv4N18torchfort_result_t31TORCHFORT_RESULT_INTERNAL_ERRORE" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>An internal library error, should be reported. </p>
+</dd></dl>
+
+<dl class="cpp enumerator">
+<dt class="sig sig-object cpp" id="_CPPv4N18torchfort_result_t27TORCHFORT_RESULT_CUDA_ERRORE">
+<span id="_CPPv3N18torchfort_result_t27TORCHFORT_RESULT_CUDA_ERRORE"></span><span id="_CPPv2N18torchfort_result_t27TORCHFORT_RESULT_CUDA_ERRORE"></span><span class="target" id="torchfort__enums_8h_1a210154fe45dae76f21c394953fa5ef1fab409c3c49870bd831f01b4d43b60627e"></span><span class="k"><span class="pre">enumerator</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">TORCHFORT_RESULT_CUDA_ERROR</span></span></span><a class="headerlink" href="#_CPPv4N18torchfort_result_t27TORCHFORT_RESULT_CUDA_ERRORE" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>An error occured in the CUDA Runtime. </p>
+</dd></dl>
+
+<dl class="cpp enumerator">
+<dt class="sig sig-object cpp" id="_CPPv4N18torchfort_result_t26TORCHFORT_RESULT_MPI_ERRORE">
+<span id="_CPPv3N18torchfort_result_t26TORCHFORT_RESULT_MPI_ERRORE"></span><span id="_CPPv2N18torchfort_result_t26TORCHFORT_RESULT_MPI_ERRORE"></span><span class="target" id="torchfort__enums_8h_1a210154fe45dae76f21c394953fa5ef1fa42e9695e8cd668e1fab6a74764631bb8"></span><span class="k"><span class="pre">enumerator</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">TORCHFORT_RESULT_MPI_ERROR</span></span></span><a class="headerlink" href="#_CPPv4N18torchfort_result_t26TORCHFORT_RESULT_MPI_ERRORE" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>An error occured in the MPI library. </p>
+</dd></dl>
+
+<dl class="cpp enumerator">
+<dt class="sig sig-object cpp" id="_CPPv4N18torchfort_result_t27TORCHFORT_RESULT_NCCL_ERRORE">
+<span id="_CPPv3N18torchfort_result_t27TORCHFORT_RESULT_NCCL_ERRORE"></span><span id="_CPPv2N18torchfort_result_t27TORCHFORT_RESULT_NCCL_ERRORE"></span><span class="target" id="torchfort__enums_8h_1a210154fe45dae76f21c394953fa5ef1fa6c37c6803e1c0912dd02cad2214c1ffe"></span><span class="k"><span class="pre">enumerator</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">TORCHFORT_RESULT_NCCL_ERROR</span></span></span><a class="headerlink" href="#_CPPv4N18torchfort_result_t27TORCHFORT_RESULT_NCCL_ERRORE" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>An error occured in the NCCL library. </p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+<hr class="docutils" />
+<section id="global-context-settings">
+<h3>Global Context Settings<a class="headerlink" href="#global-context-settings" title="Permalink to this heading">¶</a></h3>
+<p>These are global routines which affect the behavior of the libtorch backend. It is therefore recommended to call these functions before any other TorchFort calls are made.</p>
+<section id="torchfort-set-cudnn-benchmark">
+<span id="torchfort-set-cudnn-benchmark-ref"></span><h4>torchfort_set_cudnn_benchmark<a class="headerlink" href="#torchfort-set-cudnn-benchmark" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv429torchfort_set_cudnn_benchmarkKb">
+<span id="_CPPv329torchfort_set_cudnn_benchmarkKb"></span><span id="_CPPv229torchfort_set_cudnn_benchmarkKb"></span><span id="torchfort_set_cudnn_benchmark__bC"></span><span class="target" id="torchfort_8h_1ae5c1a92bccb3b5fa42d6a56879eb877d"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_set_cudnn_benchmark</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">bool</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">flag</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv429torchfort_set_cudnn_benchmarkKb" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Utility function to enable/disable cuDNN runtime autotuning in PyTorch. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>flag</strong> – <strong>[in]</strong> Boolean value to set the cuDNN benchmarking flag to. </p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+</section>
+<section id="supervised-learning">
+<span id="torchfort-general-c-ref"></span><h2>Supervised Learning<a class="headerlink" href="#supervised-learning" title="Permalink to this heading">¶</a></h2>
+<section id="model-creation">
+<h3>Model Creation<a class="headerlink" href="#model-creation" title="Permalink to this heading">¶</a></h3>
+<section id="torchfort-create-model">
+<span id="torchfort-create-model-ref"></span><h4>torchfort_create_model<a class="headerlink" href="#torchfort-create-model" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv422torchfort_create_modelPKcPKc">
+<span id="_CPPv322torchfort_create_modelPKcPKc"></span><span id="_CPPv222torchfort_create_modelPKcPKc"></span><span id="torchfort_create_model__cCP.cCP"></span><span class="target" id="torchfort_8h_1a25f6de4ff7c5626f4bd1116a2eacb834"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_create_model</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">config_fname</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv422torchfort_create_modelPKcPKc" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Creates a model instance from a provided configuration file. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> A name to assign to the created model instance to use as a key for other TorchFort routines. </p></li>
+<li><p><strong>config_fname</strong> – <strong>[in]</strong> The filesystem path to the user-defined model configuration file to use.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-create-distributed-model">
+<span id="torchfort-create-distributed-model-ref"></span><h4>torchfort_create_distributed_model<a class="headerlink" href="#torchfort-create-distributed-model" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv434torchfort_create_distributed_modelPKcPKc8MPI_Comm">
+<span id="_CPPv334torchfort_create_distributed_modelPKcPKc8MPI_Comm"></span><span id="_CPPv234torchfort_create_distributed_modelPKcPKc8MPI_Comm"></span><span id="torchfort_create_distributed_model__cCP.cCP.MPI_Comm"></span><span class="target" id="torchfort_8h_1a5695b4181ff49e3ef3e8919f7fb154ca"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_create_distributed_model</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">config_fname</span></span>, <span class="n"><span class="pre">MPI_Comm</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">mpi_comm</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv434torchfort_create_distributed_modelPKcPKc8MPI_Comm" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Creates a distributed data-parallel model from a provided configuration file. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> A name to assign to created model to use as a key for other TorchFort routines. </p></li>
+<li><p><strong>config_fname</strong> – <strong>[in]</strong> The filesystem path to the user-defined model configuration file to use. </p></li>
+<li><p><strong>mpi_comm</strong> – <strong>[in]</strong> MPI communicator to use to initialize NCCL communication library for data-parallel communication.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+<hr class="docutils" />
+<section id="model-training-inference">
+<h3>Model Training/Inference<a class="headerlink" href="#model-training-inference" title="Permalink to this heading">¶</a></h3>
+<section id="torchfort-train">
+<span id="torchfort-train-ref"></span><h4>torchfort_train<a class="headerlink" href="#torchfort-train" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv415torchfort_trainPKcPv6size_tP7int64_tPv6size_tP7int64_tPv20torchfort_datatype_t12cudaStream_t">
+<span id="_CPPv315torchfort_trainPKcPv6size_tP7int64_tPv6size_tP7int64_tPv20torchfort_datatype_t12cudaStream_t"></span><span id="_CPPv215torchfort_trainPKcPv6size_tP7int64_tPv6size_tP7int64_tPv20torchfort_datatype_t12cudaStream_t"></span><span id="torchfort_train__cCP.voidP.s.int64_tP.voidP.s.int64_tP.voidP.torchfort_datatype_t.cudaStream_t"></span><span class="target" id="torchfort_8h_1a17921aac7b1918fc931477693cc5bbaa"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_train</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">input</span></span>, <span class="n"><span class="pre">size_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">input_dim</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">input_shape</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">label</span></span>, <span class="n"><span class="pre">size_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">label_dim</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">label_shape</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">loss_val</span></span>, <a class="reference internal" href="#_CPPv420torchfort_datatype_t" title="torchfort_datatype_t"><span class="n"><span class="pre">torchfort_datatype_t</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">dtype</span></span>, <span class="n"><span class="pre">cudaStream_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">stream</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv415torchfort_trainPKcPv6size_tP7int64_tPv6size_tP7int64_tPv20torchfort_datatype_t12cudaStream_t" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Runs a training iteration of a model instance using provided input and label data. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of model instance to use, as defined during model creation. </p></li>
+<li><p><strong>input</strong> – <strong>[in]</strong> A pointer to a memory buffer containing input data. </p></li>
+<li><p><strong>input_dim</strong> – <strong>[in]</strong> Rank of the input data. </p></li>
+<li><p><strong>input_shape</strong> – <strong>[in]</strong> A pointer to an array specifying the shape of the input data. Length should be equal to the rank of the input data. </p></li>
+<li><p><strong>label</strong> – <strong>[in]</strong> A pointer to a memory buffer containing label data. </p></li>
+<li><p><strong>label_dim</strong> – <strong>[in]</strong> Rank of the label data. </p></li>
+<li><p><strong>label_shape</strong> – <strong>[in]</strong> A pointer to an array specifying the shape of the label data. Length should be equal to the rank of the label data. </p></li>
+<li><p><strong>loss_val</strong> – <strong>[out]</strong> A pointer to a memory location to write the loss value computed during the training iteration. </p></li>
+<li><p><strong>dtype</strong> – <strong>[out]</strong> The TorchFort datatype to use for this operation. </p></li>
+<li><p><strong>stream</strong> – <strong>[out]</strong> CUDA stream to enqueue the training operations.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-inference">
+<span id="torchfort-inference-ref"></span><h4>torchfort_inference<a class="headerlink" href="#torchfort-inference" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv419torchfort_inferencePKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t">
+<span id="_CPPv319torchfort_inferencePKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t"></span><span id="_CPPv219torchfort_inferencePKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t"></span><span id="torchfort_inference__cCP.voidP.s.int64_tP.voidP.s.int64_tP.torchfort_datatype_t.cudaStream_t"></span><span class="target" id="torchfort_8h_1a34466f252106d5528b645f9d4572c290"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_inference</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">input</span></span>, <span class="n"><span class="pre">size_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">input_dim</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">input_shape</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">output</span></span>, <span class="n"><span class="pre">size_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">output_dim</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">output_shape</span></span>, <a class="reference internal" href="#_CPPv420torchfort_datatype_t" title="torchfort_datatype_t"><span class="n"><span class="pre">torchfort_datatype_t</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">dtype</span></span>, <span class="n"><span class="pre">cudaStream_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">stream</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv419torchfort_inferencePKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Runs inference on a model using provided input data. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of model instance to use, as defined during model creation. </p></li>
+<li><p><strong>input</strong> – <strong>[in]</strong> A pointer to a memory buffer containing input data. </p></li>
+<li><p><strong>input_dim</strong> – <strong>[in]</strong> Rank of the input data. </p></li>
+<li><p><strong>input_shape</strong> – <strong>[in]</strong> A pointer to an array specifying the shape of the input data. Length should be equal to the rank of the input data. </p></li>
+<li><p><strong>output</strong> – <strong>[inout]</strong> A pointer to a memory buffer to write output data. </p></li>
+<li><p><strong>output_dim</strong> – <strong>[in]</strong> Rank of the output data. </p></li>
+<li><p><strong>output_shape</strong> – <strong>[in]</strong> A pointer to an array specifying the shape of the output data. Length should be equal to the rank of the output data. </p></li>
+<li><p><strong>dtype</strong> – <strong>[out]</strong> The TorchFort datatype to use for this operation. </p></li>
+<li><p><strong>stream</strong> – <strong>[out]</strong> CUDA steram to enqueue the inference operations.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+<hr class="docutils" />
+<section id="model-management">
+<h3>Model Management<a class="headerlink" href="#model-management" title="Permalink to this heading">¶</a></h3>
+<section id="torchfort-save-model">
+<span id="torchfort-save-model-ref"></span><h4>torchfort_save_model<a class="headerlink" href="#torchfort-save-model" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv420torchfort_save_modelPKcPKc">
+<span id="_CPPv320torchfort_save_modelPKcPKc"></span><span id="_CPPv220torchfort_save_modelPKcPKc"></span><span id="torchfort_save_model__cCP.cCP"></span><span class="target" id="torchfort_8h_1ab4863ad7d133fe462e2da2d25ff32ba5"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_save_model</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">fname</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv420torchfort_save_modelPKcPKc" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Saves a model to file. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of model instance to save, as defined during model creation. </p></li>
+<li><p><strong>fname</strong> – <strong>[in]</strong> The filename to save the model weights to.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-load-model">
+<span id="torchfort-load-model-ref"></span><h4>torchfort_load_model<a class="headerlink" href="#torchfort-load-model" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv420torchfort_load_modelPKcPKc">
+<span id="_CPPv320torchfort_load_modelPKcPKc"></span><span id="_CPPv220torchfort_load_modelPKcPKc"></span><span id="torchfort_load_model__cCP.cCP"></span><span class="target" id="torchfort_8h_1a607b4882db04f5d0ace4ff906b009440"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_load_model</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">fname</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv420torchfort_load_modelPKcPKc" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Loads a model from a file. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of model instance to load the model weights to, as defined during model creation. </p></li>
+<li><p><strong>fname</strong> – <strong>[in]</strong> The filename to load the model from.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-save-checkpoint">
+<span id="torchfort-save-checkpoint-ref"></span><h4>torchfort_save_checkpoint<a class="headerlink" href="#torchfort-save-checkpoint" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv425torchfort_save_checkpointPKcPKc">
+<span id="_CPPv325torchfort_save_checkpointPKcPKc"></span><span id="_CPPv225torchfort_save_checkpointPKcPKc"></span><span id="torchfort_save_checkpoint__cCP.cCP"></span><span class="target" id="torchfort_8h_1af4d602247a7c587838e45331b2e5974f"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_save_checkpoint</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">checkpoint_dir</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv425torchfort_save_checkpointPKcPKc" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Saves a training checkpoint to a directory. In contrast to <code class="docutils literal notranslate"><span class="pre">torchfort_save_model</span></code>, this function saves additional state to restart training, like the optimizer states and learning rate schedule progress. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of model instance to save, as defined during model creation. </p></li>
+<li><p><strong>checkpoint_dir</strong> – <strong>[in]</strong> A writeable filesystem path to a directory to save the checkpoint data to.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-load-checkpoint">
+<span id="torchfort-load-checkpoint-ref"></span><h4>torchfort_load_checkpoint<a class="headerlink" href="#torchfort-load-checkpoint" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv425torchfort_load_checkpointPKcPKcP7int64_tP7int64_t">
+<span id="_CPPv325torchfort_load_checkpointPKcPKcP7int64_tP7int64_t"></span><span id="_CPPv225torchfort_load_checkpointPKcPKcP7int64_tP7int64_t"></span><span id="torchfort_load_checkpoint__cCP.cCP.int64_tP.int64_tP"></span><span class="target" id="torchfort_8h_1af63a04d691ded52880d6b11191f9b445"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_load_checkpoint</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">checkpoint_dir</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">step_train</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">step_inference</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv425torchfort_load_checkpointPKcPKcP7int64_tP7int64_t" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Loads a training checkpoint from a directory. In contrast to the <code class="docutils literal notranslate"><span class="pre">torchfort_load_model</span></code>, this function loads additional state to restart training, like the optimizer states and learning rate schedule progress. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of model instance to load checkpoint data into, as defined during model creation. </p></li>
+<li><p><strong>checkpoint_dir</strong> – <strong>[in]</strong> A readable filesystem path to a directory to load the checkpoint data from. </p></li>
+<li><p><strong>step_train</strong> – <strong>[out]</strong> A pointer to an integer to write current training step for loaded checkpoint. </p></li>
+<li><p><strong>step_inference</strong> – <strong>[out]</strong> A pointer to an integer to write current inference step for loaded checkpoint.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+<hr class="docutils" />
+<section id="weights-and-biases-logging">
+<h3>Weights and Biases Logging<a class="headerlink" href="#weights-and-biases-logging" title="Permalink to this heading">¶</a></h3>
+<section id="torchfort-wandb-log-int">
+<span id="torchfort-wandb-log-int-ref"></span><h4>torchfort_wandb_log_int<a class="headerlink" href="#torchfort-wandb-log-int" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv423torchfort_wandb_log_intPKcPKc7int64_ti">
+<span id="_CPPv323torchfort_wandb_log_intPKcPKc7int64_ti"></span><span id="_CPPv223torchfort_wandb_log_intPKcPKc7int64_ti"></span><span id="torchfort_wandb_log_int__cCP.cCP.int64_t.i"></span><span class="target" id="torchfort_8h_1a843b6399d7a92eb2171383f601730a4c"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_wandb_log_int</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">metric_name</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">step</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">value</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv423torchfort_wandb_log_intPKcPKc7int64_ti" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Write an integer value to a Weights and Bias log. Use the <code class="docutils literal notranslate"><span class="pre">_float</span></code> and <code class="docutils literal notranslate"><span class="pre">_double</span></code> variants to write <code class="docutils literal notranslate"><span class="pre">float</span></code> and <code class="docutils literal notranslate"><span class="pre">double</span></code> values respectively. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of model instance to associate this metric value with, as defined during model creation. </p></li>
+<li><p><strong>metric_name</strong> – <strong>[in]</strong> Metric label. </p></li>
+<li><p><strong>step</strong> – <strong>[in]</strong> Training/inference step to associate with metric value. </p></li>
+<li><p><strong>value</strong> – <strong>[in]</strong> Metric value to log.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-wandb-log-float">
+<span id="torchfort-wandb-log-float-ref"></span><h4>torchfort_wandb_log_float<a class="headerlink" href="#torchfort-wandb-log-float" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv425torchfort_wandb_log_floatPKcPKc7int64_tf">
+<span id="_CPPv325torchfort_wandb_log_floatPKcPKc7int64_tf"></span><span id="_CPPv225torchfort_wandb_log_floatPKcPKc7int64_tf"></span><span id="torchfort_wandb_log_float__cCP.cCP.int64_t.float"></span><span class="target" id="torchfort_8h_1a410c28bef310e4e25458d7284029d9d9"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_wandb_log_float</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">metric_name</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">step</span></span>, <span class="kt"><span class="pre">float</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">value</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv425torchfort_wandb_log_floatPKcPKc7int64_tf" title="Permalink to this definition">¶</a><br /></dt>
+<dd></dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-wandb-log-double">
+<span id="torchfort-wandb-log-double-ref"></span><h4>torchfort_wandb_log_double<a class="headerlink" href="#torchfort-wandb-log-double" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv426torchfort_wandb_log_doublePKcPKc7int64_td">
+<span id="_CPPv326torchfort_wandb_log_doublePKcPKc7int64_td"></span><span id="_CPPv226torchfort_wandb_log_doublePKcPKc7int64_td"></span><span id="torchfort_wandb_log_double__cCP.cCP.int64_t.double"></span><span class="target" id="torchfort_8h_1aa7a5d735404327e1a434df75cfceade2"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_wandb_log_double</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">metric_name</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">step</span></span>, <span class="kt"><span class="pre">double</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">value</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv426torchfort_wandb_log_doublePKcPKc7int64_td" title="Permalink to this definition">¶</a><br /></dt>
+<dd></dd></dl>
+
+<hr class="docutils" />
+</section>
+</section>
+</section>
+<section id="reinforcement-learning">
+<span id="torchfort-rl-c-ref"></span><h2>Reinforcement Learning<a class="headerlink" href="#reinforcement-learning" title="Permalink to this heading">¶</a></h2>
+<section id="system-creation">
+<h3>System Creation<a class="headerlink" href="#system-creation" title="Permalink to this heading">¶</a></h3>
+<p>Basic routines to create and register a reinforcement learning system in the internal registry. A (synchronous) data parallel distributed option is available.</p>
+<section id="torchfort-rl-off-policy-create-system">
+<span id="torchfort-rl-off-policy-create-system-ref"></span><h4>torchfort_rl_off_policy_create_system<a class="headerlink" href="#torchfort-rl-off-policy-create-system" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv437torchfort_rl_off_policy_create_systemPKcPKc">
+<span id="_CPPv337torchfort_rl_off_policy_create_systemPKcPKc"></span><span id="_CPPv237torchfort_rl_off_policy_create_systemPKcPKc"></span><span id="torchfort_rl_off_policy_create_system__cCP.cCP"></span><span class="target" id="torchfort__rl_8h_1a684ec64345f24c51eb6240c6488b0797"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_rl_off_policy_create_system</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">config_fname</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv437torchfort_rl_off_policy_create_systemPKcPKc" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Creates an off-policy reinforcement learning training system instance from a provided configuration file. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> A name to assign to the created training system instance to use as a key for other TorchFort routines. </p></li>
+<li><p><strong>config_fname</strong> – <strong>[in]</strong> The filesystem path to the user-defined configuration file to use.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-create-distributed-system">
+<span id="torchfort-rl-off-policy-create-distributed-system-ref"></span><h4>torchfort_rl_off_policy_create_distributed_system<a class="headerlink" href="#torchfort-rl-off-policy-create-distributed-system" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv449torchfort_rl_off_policy_create_distributed_systemPKcPKc8MPI_Comm">
+<span id="_CPPv349torchfort_rl_off_policy_create_distributed_systemPKcPKc8MPI_Comm"></span><span id="_CPPv249torchfort_rl_off_policy_create_distributed_systemPKcPKc8MPI_Comm"></span><span id="torchfort_rl_off_policy_create_distributed_system__cCP.cCP.MPI_Comm"></span><span class="target" id="torchfort__rl_8h_1a02eab3d524882d86be58194df763f46f"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_rl_off_policy_create_distributed_system</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">config_fname</span></span>, <span class="n"><span class="pre">MPI_Comm</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">mpi_comm</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv449torchfort_rl_off_policy_create_distributed_systemPKcPKc8MPI_Comm" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Creates a (synchronous) data-parallel off-policy reinforcement learning system instance from a provided configuration file. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> A name to assign to the created training system instance to use as a key for other TorchFort routines. </p></li>
+<li><p><strong>config_fname</strong> – <strong>[in]</strong> The filesystem path to the user-defined configuration file to use. </p></li>
+<li><p><strong>mpi_comm</strong> – <strong>[in]</strong> MPI communicator to use to initialize NCCL communication library for data-parallel communication.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+<hr class="docutils" />
+<section id="training-evaluation">
+<h3>Training/Evaluation<a class="headerlink" href="#training-evaluation" title="Permalink to this heading">¶</a></h3>
+<p>These routines are used for training the reinforcement learning system or for steering the environment.</p>
+<section id="torchfort-rl-off-policy-train-step">
+<span id="torchfort-rl-off-policy-train-step-ref"></span><h4>torchfort_rl_off_policy_train_step<a class="headerlink" href="#torchfort-rl-off-policy-train-step" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv434torchfort_rl_off_policy_train_stepPKcPfPf12cudaStream_t">
+<span id="_CPPv334torchfort_rl_off_policy_train_stepPKcPfPf12cudaStream_t"></span><span id="_CPPv234torchfort_rl_off_policy_train_stepPKcPfPf12cudaStream_t"></span><span id="torchfort_rl_off_policy_train_step__cCP.floatP.floatP.cudaStream_t"></span><span class="target" id="torchfort__rl_8h_1a074edeb1d903535f338003a09fd6b83a"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_rl_off_policy_train_step</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="kt"><span class="pre">float</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">p_loss_val</span></span>, <span class="kt"><span class="pre">float</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">q_loss_val</span></span>, <span class="n"><span class="pre">cudaStream_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">stream</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv434torchfort_rl_off_policy_train_stepPKcPfPf12cudaStream_t" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Runs a training iteration of an off-policy refinforcement learning instance and returns loss values for policy and value functions. </p>
+<p>This routine samples a batch of specified size from the replay buffer according to the buffers sampling procedure and performs a train step using this sample. The details of the training procedure are abstracted away from the user and depend on the chosen system algorithm.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of system instance to use, as defined during system creation. </p></li>
+<li><p><strong>p_loss_val</strong> – <strong>[out]</strong> A pointer to a memory location to write the policy loss value computed during the training iteration. </p></li>
+<li><p><strong>q_loss_val</strong> – <strong>[out]</strong> A pointer to a memory location to write the critic loss value computed during the training iteration. If the system uses multiple critics, the average across all critics is returned. </p></li>
+<li><p><strong>stream</strong> – <strong>[out]</strong> CUDA stream to enqueue the training operations.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-predict-explore">
+<span id="torchfort-rl-off-policy-predict-explore-ref"></span><h4>torchfort_rl_off_policy_predict_explore<a class="headerlink" href="#torchfort-rl-off-policy-predict-explore" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv439torchfort_rl_off_policy_predict_explorePKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t">
+<span id="_CPPv339torchfort_rl_off_policy_predict_explorePKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t"></span><span id="_CPPv239torchfort_rl_off_policy_predict_explorePKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t"></span><span id="torchfort_rl_off_policy_predict_explore__cCP.voidP.s.int64_tP.voidP.s.int64_tP.torchfort_datatype_t.cudaStream_t"></span><span class="target" id="torchfort__rl_8h_1a9dc537712f412d37821f5c1ba50cea6e"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_rl_off_policy_predict_explore</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">state</span></span>, <span class="n"><span class="pre">size_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">state_dim</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">state_shape</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">action</span></span>, <span class="n"><span class="pre">size_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">action_dim</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">action_shape</span></span>, <a class="reference internal" href="#_CPPv420torchfort_datatype_t" title="torchfort_datatype_t"><span class="n"><span class="pre">torchfort_datatype_t</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">dtype</span></span>, <span class="n"><span class="pre">cudaStream_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">stream</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv439torchfort_rl_off_policy_predict_explorePKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Suggests an action based on the current state of the system and adds noise as specified by the coprresponding reinforcement learning system. </p>
+<p>Depending on the reinforcement learning algorithm used, the prediction is performed by the main network (not the target network). In contrast to <code class="docutils literal notranslate"><span class="pre">torchfort_rl_off_policy_predict</span></code>, this routine adds noise and thus is called explorative. The kind of noise is specified during system creation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of system instance to use, as defined during system creation. </p></li>
+<li><p><strong>state</strong> – <strong>[in]</strong> A pointer to a memory buffer containing state data. </p></li>
+<li><p><strong>state_dim</strong> – <strong>[in]</strong> Rank of the state data. </p></li>
+<li><p><strong>state_shape</strong> – <strong>[in]</strong> A pointer to an array specifying the shape of the state data. Length should be equal to the rank of the state data. </p></li>
+<li><p><strong>action</strong> – <strong>[inout]</strong> A pointer to a memory buffer to write action data. </p></li>
+<li><p><strong>action_dim</strong> – <strong>[in]</strong> Rank of the action data. </p></li>
+<li><p><strong>action_shape</strong> – <strong>[in]</strong> A pointer to an array specifying the shape of the action data. Length should be equal to the rank of the action data. </p></li>
+<li><p><strong>dtype</strong> – <strong>[out]</strong> The TorchFort datatype to use for this operation. </p></li>
+<li><p><strong>stream</strong> – <strong>[out]</strong> CUDA stream to enqueue the action prediction operations.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-predict">
+<span id="torchfort-rl-off-policy-predict-ref"></span><h4>torchfort_rl_off_policy_predict<a class="headerlink" href="#torchfort-rl-off-policy-predict" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv431torchfort_rl_off_policy_predictPKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t">
+<span id="_CPPv331torchfort_rl_off_policy_predictPKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t"></span><span id="_CPPv231torchfort_rl_off_policy_predictPKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t"></span><span id="torchfort_rl_off_policy_predict__cCP.voidP.s.int64_tP.voidP.s.int64_tP.torchfort_datatype_t.cudaStream_t"></span><span class="target" id="torchfort__rl_8h_1addac11970de39e66f24ccb1fa88b9dcc"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_rl_off_policy_predict</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">state</span></span>, <span class="n"><span class="pre">size_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">state_dim</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">state_shape</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">action</span></span>, <span class="n"><span class="pre">size_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">action_dim</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">action_shape</span></span>, <a class="reference internal" href="#_CPPv420torchfort_datatype_t" title="torchfort_datatype_t"><span class="n"><span class="pre">torchfort_datatype_t</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">dtype</span></span>, <span class="n"><span class="pre">cudaStream_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">stream</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv431torchfort_rl_off_policy_predictPKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Suggests an action based on the current state of the system. </p>
+<p>Depending on the algorithm used, the prediction is performed by the target network. In contrast to <code class="docutils literal notranslate"><span class="pre">torchfort_rl_off_policy_predict_explore</span></code>, this routine does not add noise, which means it is exploitative.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of system instance to use, as defined during system creation. </p></li>
+<li><p><strong>state</strong> – <strong>[in]</strong> A pointer to a memory buffer containing state data. </p></li>
+<li><p><strong>state_dim</strong> – <strong>[in]</strong> Rank of the state data. </p></li>
+<li><p><strong>state_shape</strong> – <strong>[in]</strong> A pointer to an array specifying the shape of the state data. Length should be equal to the rank of the state data. </p></li>
+<li><p><strong>action</strong> – <strong>[inout]</strong> A pointer to a memory buffer to write action data. </p></li>
+<li><p><strong>action_dim</strong> – <strong>[in]</strong> Rank of the action data. </p></li>
+<li><p><strong>action_shape</strong> – <strong>[in]</strong> A pointer to an array specifying the shape of the action data. Length should be equal to the rank of the action data. </p></li>
+<li><p><strong>dtype</strong> – <strong>[out]</strong> The TorchFort datatype to use for this operation. </p></li>
+<li><p><strong>stream</strong> – <strong>[out]</strong> CUDA stream to enqueue the action prediction operations.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-evaluate">
+<span id="torchfort-rl-off-policy-evaluate-ref"></span><h4>torchfort_rl_off_policy_evaluate<a class="headerlink" href="#torchfort-rl-off-policy-evaluate" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv432torchfort_rl_off_policy_evaluatePKcPv6size_tP7int64_tPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t">
+<span id="_CPPv332torchfort_rl_off_policy_evaluatePKcPv6size_tP7int64_tPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t"></span><span id="_CPPv232torchfort_rl_off_policy_evaluatePKcPv6size_tP7int64_tPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t"></span><span id="torchfort_rl_off_policy_evaluate__cCP.voidP.s.int64_tP.voidP.s.int64_tP.voidP.s.int64_tP.torchfort_datatype_t.cudaStream_t"></span><span class="target" id="torchfort__rl_8h_1a9f8ac20def96e6f069b460de012544e8"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_rl_off_policy_evaluate</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">state</span></span>, <span class="n"><span class="pre">size_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">state_dim</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">state_shape</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">action</span></span>, <span class="n"><span class="pre">size_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">action_dim</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">action_shape</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">reward</span></span>, <span class="n"><span class="pre">size_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">reward_dim</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">reward_shape</span></span>, <a class="reference internal" href="#_CPPv420torchfort_datatype_t" title="torchfort_datatype_t"><span class="n"><span class="pre">torchfort_datatype_t</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">dtype</span></span>, <span class="n"><span class="pre">cudaStream_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">stream</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv432torchfort_rl_off_policy_evaluatePKcPv6size_tP7int64_tPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Predicts the future reward based on the current state and selected action. </p>
+<p>Depending on the learning algorithm, the routine queries the target critic networks for this. The routine averages the predictions over all critics.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of system instance to use, as defined during system creation. </p></li>
+<li><p><strong>state</strong> – <strong>[in]</strong> A pointer to a memory buffer containing state data. </p></li>
+<li><p><strong>state_dim</strong> – <strong>[in]</strong> Rank of the state data. </p></li>
+<li><p><strong>state_shape</strong> – <strong>[in]</strong> A pointer to an array specifying the shape of the state data. Length should be equal to the rank of the state data. </p></li>
+<li><p><strong>action</strong> – <strong>[in]</strong> A pointer to a memory buffer containing action data. </p></li>
+<li><p><strong>action_dim</strong> – <strong>[in]</strong> Rank of the action data. </p></li>
+<li><p><strong>action_shape</strong> – <strong>[in]</strong> A pointer to an array specifying the shape of the action data. Length should be equal to the rank of the action data. </p></li>
+<li><p><strong>reward</strong> – <strong>[inout]</strong> A pointer to a memory buffer to write reward data. </p></li>
+<li><p><strong>reward_dim</strong> – <strong>[in]</strong> Rank of the reward data. </p></li>
+<li><p><strong>reward_shape</strong> – <strong>[in]</strong> A pointer to an array specifying the shape of the reward data. Length should be equal to the rank of the reward data. </p></li>
+<li><p><strong>dtype</strong> – <strong>[out]</strong> The TorchFort datatype to use for this operation. </p></li>
+<li><p><strong>stream</strong> – <strong>[out]</strong> CUDA stream to enqueue the action prediction operations.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+<hr class="docutils" />
+<section id="system-management">
+<h3>System Management<a class="headerlink" href="#system-management" title="Permalink to this heading">¶</a></h3>
+<p>The purpose of these routines is to manage the reinforcement learning systems internal data. It allows the user to add tuples to the replay buffer and query the system for readiness. Additionally, save and restore functionality is also provided.</p>
+<section id="torchfort-rl-off-policy-update-replay-buffer">
+<span id="torchfort-rl-off-policy-update-replay-buffer-ref"></span><h4>torchfort_rl_off_policy_update_replay_buffer<a class="headerlink" href="#torchfort-rl-off-policy-update-replay-buffer" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv444torchfort_rl_off_policy_update_replay_bufferPKcPvPv6size_tP7int64_tPv6size_tP7int64_tPKvb20torchfort_datatype_t12cudaStream_t">
+<span id="_CPPv344torchfort_rl_off_policy_update_replay_bufferPKcPvPv6size_tP7int64_tPv6size_tP7int64_tPKvb20torchfort_datatype_t12cudaStream_t"></span><span id="_CPPv244torchfort_rl_off_policy_update_replay_bufferPKcPvPv6size_tP7int64_tPv6size_tP7int64_tPKvb20torchfort_datatype_t12cudaStream_t"></span><span id="torchfort_rl_off_policy_update_replay_buffer__cCP.voidP.voidP.s.int64_tP.voidP.s.int64_tP.voidCP.b.torchfort_datatype_t.cudaStream_t"></span><span class="target" id="torchfort__rl_8h_1ae8cff26fc375dfac1d8b9e71b2b0cdbf"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_rl_off_policy_update_replay_buffer</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">state_old</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">state_new</span></span>, <span class="n"><span class="pre">size_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">state_dim</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">state_shape</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">action_old</span></span>, <span class="n"><span class="pre">size_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">action_dim</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">action_shape</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">reward</span></span>, <span class="kt"><span class="pre">bool</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">final_state</span></span>, <a class="reference internal" href="#_CPPv420torchfort_datatype_t" title="torchfort_datatype_t"><span class="n"><span class="pre">torchfort_datatype_t</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">dtype</span></span>, <span class="n"><span class="pre">cudaStream_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">stream</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv444torchfort_rl_off_policy_update_replay_bufferPKcPvPv6size_tP7int64_tPv6size_tP7int64_tPKvb20torchfort_datatype_t12cudaStream_t" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Adds a new <span class="math notranslate nohighlight">\((s, a, s', r, d)\)</span> tuple to the replay buffer. </p>
+<p>Here <span class="math notranslate nohighlight">\(s\)</span> (<code class="docutils literal notranslate"><span class="pre">state_old</span></code>) is the state for which action <span class="math notranslate nohighlight">\(a\)</span> (<code class="docutils literal notranslate"><span class="pre">action_old</span></code>) was taken, leading to <span class="math notranslate nohighlight">\(s'\)</span> (<code class="docutils literal notranslate"><span class="pre">state_new</span></code>) and receiving reward <span class="math notranslate nohighlight">\(r\)</span> (<code class="docutils literal notranslate"><span class="pre">reward</span></code>). The terminal state flag <span class="math notranslate nohighlight">\(d\)</span> (<code class="docutils literal notranslate"><span class="pre">final_state</span></code>) specifies whether <span class="math notranslate nohighlight">\(s'\)</span> is the final state in the episode.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of system instance to use, as defined during system creation. </p></li>
+<li><p><strong>state_old</strong> – <strong>[in]</strong> A pointer to a memory buffer containing previous state data. </p></li>
+<li><p><strong>state_new</strong> – <strong>[in]</strong> A pointer to a memory buffer containing new state data. </p></li>
+<li><p><strong>state_dim</strong> – <strong>[in]</strong> Rank of the state data. </p></li>
+<li><p><strong>state_shape</strong> – <strong>[in]</strong> A pointer to an array specifying the shape of the state data. Length should be equal to the rank of the <code class="docutils literal notranslate"><span class="pre">state_old</span></code> and <code class="docutils literal notranslate"><span class="pre">state_new</span></code> data. </p></li>
+<li><p><strong>action_old</strong> – <strong>[in]</strong> A pointer to a memory buffer containing action data. </p></li>
+<li><p><strong>action_dim</strong> – <strong>[in]</strong> Rank of the action data. </p></li>
+<li><p><strong>action_shape</strong> – <strong>[in]</strong> A pointer to an array specifying the shape of the action data. Length should be equal to the rank of the action data. </p></li>
+<li><p><strong>reward</strong> – <strong>[in]</strong> A pointer to a memory buffer with reward data. </p></li>
+<li><p><strong>final_state</strong> – <strong>[in]</strong> A flag indicating whether \pstate_new is the final state in the current episode (set to <code class="docutils literal notranslate"><span class="pre">true</span></code> if it is the final state, otherwise <code class="docutils literal notranslate"><span class="pre">false</span></code>). </p></li>
+<li><p><strong>dtype</strong> – <strong>[out]</strong> The TorchFort datatype to use for this operation. </p></li>
+<li><p><strong>stream</strong> – <strong>[out]</strong> CUDA stream to enqueue the action prediction operations.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-is-ready">
+<span id="torchfort-rl-off-policy-is-ready-ref"></span><h4>torchfort_rl_off_policy_is_ready<a class="headerlink" href="#torchfort-rl-off-policy-is-ready" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv432torchfort_rl_off_policy_is_readyPKcRb">
+<span id="_CPPv332torchfort_rl_off_policy_is_readyPKcRb"></span><span id="_CPPv232torchfort_rl_off_policy_is_readyPKcRb"></span><span id="torchfort_rl_off_policy_is_ready__cCP.bR"></span><span class="target" id="torchfort__rl_8h_1ae720fa44e21cb3eefb00feffc764a89f"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_rl_off_policy_is_ready</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="kt"><span class="pre">bool</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">ready</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv432torchfort_rl_off_policy_is_readyPKcRb" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Queries a reinforcement learning system for rediness to start training. </p>
+<p>A user should call this method before starting training to make sure the reinforcement learning system is ready. This method ensures that the replay buffer is filled sufficiently with exploration data as specified during system creation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of a system instance to restore the data for, as defined during system creation </p></li>
+<li><p><strong>ready</strong> – <strong>[out]</strong> A flag indicating whether the system is ready to train (<code class="docutils literal notranslate"><span class="pre">true</span></code> means it is ready to train)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-save-checkpoint">
+<span id="torchfort-rl-off-policy-save-checkpoint-ref"></span><h4>torchfort_rl_off_policy_save_checkpoint<a class="headerlink" href="#torchfort-rl-off-policy-save-checkpoint" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv439torchfort_rl_off_policy_save_checkpointPKcPKc">
+<span id="_CPPv339torchfort_rl_off_policy_save_checkpointPKcPKc"></span><span id="_CPPv239torchfort_rl_off_policy_save_checkpointPKcPKc"></span><span id="torchfort_rl_off_policy_save_checkpoint__cCP.cCP"></span><span class="target" id="torchfort__rl_8h_1ac3a1bc187f9273ca30e2e34775d4eb55"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_rl_off_policy_save_checkpoint</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">checkpoint_dir</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv439torchfort_rl_off_policy_save_checkpointPKcPKc" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Saves a reinforcement learning training checkpoint to a directory. </p>
+<p>This method saves all models (policies, critics, target models if available) together with their corresponding optimizer and LR scheduler states. It also saves the state of the replay buffer, to allow for smooth restarts of reinforcement learning training processes. This function should be used in conjunction with <code class="docutils literal notranslate"><span class="pre">torchfort_rl_off_policy_load_checkpoint</span></code>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of a system instance to save, as defined during system creation. </p></li>
+<li><p><strong>checkpoint_dir</strong> – <strong>[in]</strong> A filesystem path to a directory to save the checkpoint data to.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-load-checkpoint">
+<span id="torchfort-rl-off-policy-load-checkpoint-ref"></span><h4>torchfort_rl_off_policy_load_checkpoint<a class="headerlink" href="#torchfort-rl-off-policy-load-checkpoint" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv439torchfort_rl_off_policy_load_checkpointPKcPKc">
+<span id="_CPPv339torchfort_rl_off_policy_load_checkpointPKcPKc"></span><span id="_CPPv239torchfort_rl_off_policy_load_checkpointPKcPKc"></span><span id="torchfort_rl_off_policy_load_checkpoint__cCP.cCP"></span><span class="target" id="torchfort__rl_8h_1a830b43e678f68080845a283e2422bd39"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_rl_off_policy_load_checkpoint</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">checkpoint_dir</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv439torchfort_rl_off_policy_load_checkpointPKcPKc" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Restores a reinforcement learning system from a checkpoint. </p>
+<p>This method restores all models (policies, critics, target models if available) together with their corresponding optimizer and LR scheduler states. It also fully restores the state of the replay buffer, but not the current RNG seed. This function should be used in conjunction with <code class="docutils literal notranslate"><span class="pre">torchfort_rl_off_policy_save_checkpoint</span></code>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of a system instance to restore the data for, as defined during system creation. </p></li>
+<li><p><strong>checkpoint_dir</strong> – <strong>[in]</strong> A filesystem path to a directory which contains the checkpoint data to load.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+<hr class="docutils" />
+<section id="id1">
+<h3>Weights and Biases Logging<a class="headerlink" href="#id1" title="Permalink to this heading">¶</a></h3>
+<p>The reinforcement learning system performs logging for all involved networks automatically during training. The following routines are provided for additional logging of system relevant quantities, such as e.g. the accumulated reward.</p>
+<section id="torchfort-rl-off-policy-wandb-log-int">
+<span id="torchfort-rl-off-policy-wandb-log-int-ref"></span><h4>torchfort_rl_off_policy_wandb_log_int<a class="headerlink" href="#torchfort-rl-off-policy-wandb-log-int" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv437torchfort_rl_off_policy_wandb_log_intPKcPKc7int64_ti">
+<span id="_CPPv337torchfort_rl_off_policy_wandb_log_intPKcPKc7int64_ti"></span><span id="_CPPv237torchfort_rl_off_policy_wandb_log_intPKcPKc7int64_ti"></span><span id="torchfort_rl_off_policy_wandb_log_int__cCP.cCP.int64_t.i"></span><span class="target" id="torchfort__rl_8h_1a8423a92bc251c205066bf16f91e48c59"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_rl_off_policy_wandb_log_int</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">metric_name</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">step</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">value</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv437torchfort_rl_off_policy_wandb_log_intPKcPKc7int64_ti" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Write an integer value to a Weights and Bias log using the system logging tag. <code class="docutils literal notranslate"><span class="pre">*_float</span></code> and <code class="docutils literal notranslate"><span class="pre">*_double</span></code> variants to write <code class="docutils literal notranslate"><span class="pre">float</span></code> and <code class="docutils literal notranslate"><span class="pre">double</span></code> values respectively. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> – <strong>[in]</strong> The name of system instance to associate this metric value with, as defined during system creation. </p></li>
+<li><p><strong>metric_name</strong> – <strong>[in]</strong> Metric label. </p></li>
+<li><p><strong>step</strong> – <strong>[in]</strong> Training/inference step to associate with metric value. </p></li>
+<li><p><strong>value</strong> – <strong>[in]</strong> Metric value to log.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><code class="docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure. </p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-wandb-log-float">
+<span id="torchfort-rl-off-policy-wandb-log-float-ref"></span><h4>torchfort_rl_off_policy_wandb_log_float<a class="headerlink" href="#torchfort-rl-off-policy-wandb-log-float" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv439torchfort_rl_off_policy_wandb_log_floatPKcPKc7int64_tf">
+<span id="_CPPv339torchfort_rl_off_policy_wandb_log_floatPKcPKc7int64_tf"></span><span id="_CPPv239torchfort_rl_off_policy_wandb_log_floatPKcPKc7int64_tf"></span><span id="torchfort_rl_off_policy_wandb_log_float__cCP.cCP.int64_t.float"></span><span class="target" id="torchfort__rl_8h_1afda3147863d1e61c2c16e67561abd0e3"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_rl_off_policy_wandb_log_float</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">metric_name</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">step</span></span>, <span class="kt"><span class="pre">float</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">value</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv439torchfort_rl_off_policy_wandb_log_floatPKcPKc7int64_tf" title="Permalink to this definition">¶</a><br /></dt>
+<dd></dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-wandb-log-double">
+<span id="torchfort-rl-off-policy-wandb-log-double-ref"></span><h4>torchfort_rl_off_policy_wandb_log_double<a class="headerlink" href="#torchfort-rl-off-policy-wandb-log-double" title="Permalink to this heading">¶</a></h4>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv440torchfort_rl_off_policy_wandb_log_doublePKcPKc7int64_td">
+<span id="_CPPv340torchfort_rl_off_policy_wandb_log_doublePKcPKc7int64_td"></span><span id="_CPPv240torchfort_rl_off_policy_wandb_log_doublePKcPKc7int64_td"></span><span id="torchfort_rl_off_policy_wandb_log_double__cCP.cCP.int64_t.double"></span><span class="target" id="torchfort__rl_8h_1aba638f333308ad86ab2291475a25df7c"></span><a class="reference internal" href="#_CPPv418torchfort_result_t" title="torchfort_result_t"><span class="n"><span class="pre">torchfort_result_t</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torchfort_rl_off_policy_wandb_log_double</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">name</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">metric_name</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">step</span></span>, <span class="kt"><span class="pre">double</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">value</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv440torchfort_rl_off_policy_wandb_log_doublePKcPKc7int64_td" title="Permalink to this definition">¶</a><br /></dt>
+<dd></dd></dl>
+
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+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">TorchFort API</a><ul class="current">
+<li class="toctree-l2 current"><a class="current reference internal" href="#">TorchFort Configuration Files</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#common">Common</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#general-properties">General Properties</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#optimizer-properties">Optimizer Properties</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#learning-rate-schedule-properties">Learning Rate Schedule Properties</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#supervised-learning">Supervised Learning</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#model-properties">Model Properties</a></li>
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+</ul>
+</li>
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+<li class="toctree-l4"><a class="reference internal" href="#reinforcement-learning-training-algorithm-properties">Reinforcement Learning Training Algorithm Properties</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#replay-buffer-properties">Replay Buffer Properties</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#action-properties">Action Properties</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#policy-and-critic-properties">Policy and Critic Properties</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#id1">Learning Rate Schedule Properties</a></li>
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+             
+  <section id="torchfort-configuration-files">
+<span id="torchfort-config-ref"></span><h1>TorchFort Configuration Files<a class="headerlink" href="#torchfort-configuration-files" title="Permalink to this heading">¶</a></h1>
+<p>The TorchFort library relies on a user-defined YAML configuration file to define several aspects of the training procedure,
+with specific blocks to control:</p>
+<blockquote>
+<div><ul class="simple">
+<li><p>general properties</p></li>
+<li><p>model properties</p></li>
+<li><p>optimizer properties</p></li>
+<li><p>loss function properties</p></li>
+<li><p>learning rate schedule properties</p></li>
+</ul>
+</div></blockquote>
+<p>The following sections define each configuration block and available options.</p>
+<section id="common">
+<h2>Common<a class="headerlink" href="#common" title="Permalink to this heading">¶</a></h2>
+<p>The following sections list configuration file blocks common to supervised learning and reinforcement learning configuration files.</p>
+<section id="general-properties">
+<h3>General Properties<a class="headerlink" href="#general-properties" title="Permalink to this heading">¶</a></h3>
+<p>The block in the configuration file defining general properties takes the following structure:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">general</span><span class="p">:</span>
+<span class="w">  </span><span class="l l-Scalar l-Scalar-Plain">&lt;option&gt; = &lt;value&gt;</span>
+</pre></div>
+</div>
+<p>The following table lists the available options:</p>
+<table class="docutils align-default">
+<colgroup>
+<col style="width: 18%" />
+<col style="width: 8%" />
+<col style="width: 74%" />
+</colgroup>
+<thead>
+<tr class="row-odd"><th class="head"><p>Option</p></th>
+<th class="head"><p>Data Type</p></th>
+<th class="head"><p>Description</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">report_frequency</span></code></p></td>
+<td><p>integer</p></td>
+<td><p>frequency of reported TorchFort training/validation output lines to terminal (default = <code class="docutils literal notranslate"><span class="pre">0</span></code>)</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">enable_wandb_hook</span></code></p></td>
+<td><p>boolean</p></td>
+<td><p>flag to control whether wandb hook is active  (default = <code class="docutils literal notranslate"><span class="pre">false</span></code>)</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">verbose</span></code></p></td>
+<td><p>boolean</p></td>
+<td><p>flag to control verbose output from TorchFort (default = <code class="docutils literal notranslate"><span class="pre">false</span></code>)</p></td>
+</tr>
+</tbody>
+</table>
+<p>For more information about the wandb hook, see <a class="reference internal" href="../extras.html#wandb-support-ref"><span class="std std-ref">Weights and Biases Support</span></a>.</p>
+</section>
+<section id="optimizer-properties">
+<span id="optimizer-properties-ref"></span><h3>Optimizer Properties<a class="headerlink" href="#optimizer-properties" title="Permalink to this heading">¶</a></h3>
+<p>The block in the configuration file defining optimizer properties takes the following structure:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">optimizer</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">type</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">&lt;optimizer_type&gt;</span>
+<span class="w">  </span><span class="nt">parameters</span><span class="p">:</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain">&lt;option&gt; = &lt;value&gt;</span>
+</pre></div>
+</div>
+<p>The following table lists the available optimizer types:</p>
+<table class="docutils align-default">
+<colgroup>
+<col style="width: 29%" />
+<col style="width: 71%" />
+</colgroup>
+<thead>
+<tr class="row-odd"><th class="head"><p>Optimizer Type</p></th>
+<th class="head"><p>Description</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">sgd</span></code></p></td>
+<td><p>Stochastic Gradient Descent optimizer</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">adam</span></code></p></td>
+<td><p>ADAM optimizer</p></td>
+</tr>
+</tbody>
+</table>
+<p>The following table lists the available options by optimizer type:</p>
+<table class="docutils align-default">
+<colgroup>
+<col style="width: 12%" />
+<col style="width: 14%" />
+<col style="width: 8%" />
+<col style="width: 66%" />
+</colgroup>
+<thead>
+<tr class="row-odd"><th class="head"><p>Optimizer Type</p></th>
+<th class="head"><p>Option</p></th>
+<th class="head"><p>Data Type</p></th>
+<th class="head"><p>Description</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td rowspan="5"><p><code class="docutils literal notranslate"><span class="pre">sgd</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">learning_rate</span></code></p></td>
+<td><p>float</p></td>
+<td><p>learning rate (default = <code class="docutils literal notranslate"><span class="pre">0.001</span></code>)</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">momentum</span></code></p></td>
+<td><p>float</p></td>
+<td><p>mometum factor (default = <code class="docutils literal notranslate"><span class="pre">0.0</span></code>)</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">dampening</span></code></p></td>
+<td><p>float</p></td>
+<td><p>dampening for momentum (default = <code class="docutils literal notranslate"><span class="pre">0.0</span></code>)</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">weight_decay</span></code></p></td>
+<td><p>float</p></td>
+<td><p>weight decay/L2 penalty (default = <code class="docutils literal notranslate"><span class="pre">0.0</span></code>)</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">nesterov</span></code></p></td>
+<td><p>boolean</p></td>
+<td><p>enables Nesterov momentum (default = <code class="docutils literal notranslate"><span class="pre">false</span></code>)</p></td>
+</tr>
+<tr class="row-odd"><td rowspan="6"><p><code class="docutils literal notranslate"><span class="pre">adam</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">learning_rate</span></code></p></td>
+<td><p>float</p></td>
+<td><p>learning rate (default = <code class="docutils literal notranslate"><span class="pre">0.001</span></code>)</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">beta1</span></code></p></td>
+<td><p>float</p></td>
+<td><p>coefficient used for computing running average of gradient (default = <code class="docutils literal notranslate"><span class="pre">0.9</span></code>)</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">beta2</span></code></p></td>
+<td><p>float</p></td>
+<td><p>coefficient use for computing running average of square of gradient (default = <code class="docutils literal notranslate"><span class="pre">0.999</span></code>)</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">weight_decay</span></code></p></td>
+<td><p>float</p></td>
+<td><p>weight decay/L2 penalty (default = <code class="docutils literal notranslate"><span class="pre">0.0</span></code>)</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">eps</span></code></p></td>
+<td><p>float</p></td>
+<td><p>term added to denominator to improve numerical stability (default = <code class="docutils literal notranslate"><span class="pre">1e-8</span></code>)</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">amsgrad</span></code></p></td>
+<td><p>boolean</p></td>
+<td><p>whether to use AMSGrad variant (default = <code class="docutils literal notranslate"><span class="pre">false</span></code>)</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="learning-rate-schedule-properties">
+<span id="lr-schedule-properties-ref"></span><h3>Learning Rate Schedule Properties<a class="headerlink" href="#learning-rate-schedule-properties" title="Permalink to this heading">¶</a></h3>
+<p>The block in the configuration file defining learning rate schedule properties takes the following structure:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">lr_scheduler</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">type</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">&lt;schedule_type&gt;</span>
+<span class="w">  </span><span class="nt">parameters</span><span class="p">:</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain">&lt;option&gt; = &lt;value&gt;</span>
+</pre></div>
+</div>
+<p>The following table lists the available schedule types:</p>
+<table class="docutils align-default">
+<colgroup>
+<col style="width: 12%" />
+<col style="width: 88%" />
+</colgroup>
+<thead>
+<tr class="row-odd"><th class="head"><p>Schedule Type</p></th>
+<th class="head"><p>Description</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">step</span></code></p></td>
+<td><p>Decays learning rate by multiplicative factor every <code class="docutils literal notranslate"><span class="pre">step_size</span></code> training iterations</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">multistep</span></code></p></td>
+<td><p>Decays learning rate by multiplicative factor at user-defined training iteration milestones</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">polynomial</span></code></p></td>
+<td><p>Decays learning rate by polynomial function</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">cosine_annealing</span></code></p></td>
+<td><p>Decays learning rate using cosine annealing schedule. See PyTorch documentation of
+<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.CosineAnnealingLR.html">torch.optim.lr_scheduler.CosineAnnealingLR</a> for more details.</p></td>
+</tr>
+</tbody>
+</table>
+<p>The following table lists the available options by schedule type:</p>
+<table class="docutils align-default">
+<colgroup>
+<col style="width: 18%" />
+<col style="width: 14%" />
+<col style="width: 14%" />
+<col style="width: 54%" />
+</colgroup>
+<thead>
+<tr class="row-odd"><th class="head"><p>Schedule Type</p></th>
+<th class="head"><p>Option</p></th>
+<th class="head"><p>Data Type</p></th>
+<th class="head"><p>Description</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td rowspan="2"><p><code class="docutils literal notranslate"><span class="pre">step</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">step_size</span></code></p></td>
+<td><p>integer</p></td>
+<td><p>Number of training steps between learning rate decay</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">gamma</span></code></p></td>
+<td><p>float</p></td>
+<td><p>Multiplicative factor of learning rate decay (default = <code class="docutils literal notranslate"><span class="pre">0.1</span></code>)</p></td>
+</tr>
+<tr class="row-even"><td rowspan="2"><p><code class="docutils literal notranslate"><span class="pre">multistep</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">milestones</span></code></p></td>
+<td><p>list of integer</p></td>
+<td><p>Training step milestones for learning rate decay</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">gamma</span></code></p></td>
+<td><p>float</p></td>
+<td><p>Multiplicative factor of learning rate decay (default = <code class="docutils literal notranslate"><span class="pre">0.1</span></code>)</p></td>
+</tr>
+<tr class="row-even"><td rowspan="2"><p><code class="docutils literal notranslate"><span class="pre">polynomial</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">total_iters</span></code></p></td>
+<td><p>integer</p></td>
+<td><p>Number of training iterations to decay the learning rate</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">power</span></code></p></td>
+<td><p>float</p></td>
+<td><p>The power of the polynomial (default = <code class="docutils literal notranslate"><span class="pre">1.0</span></code>)</p></td>
+</tr>
+<tr class="row-even"><td rowspan="2"><p><code class="docutils literal notranslate"><span class="pre">cosine_annealing</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">eta_min</span></code></p></td>
+<td><p>float</p></td>
+<td><p>Minumum learning rate (default = <code class="docutils literal notranslate"><span class="pre">0.0</span></code>)</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">T_max</span></code></p></td>
+<td><p>float</p></td>
+<td><p>Maximum number of iterations for decay</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+</section>
+<section id="supervised-learning">
+<h2>Supervised Learning<a class="headerlink" href="#supervised-learning" title="Permalink to this heading">¶</a></h2>
+<p>The following sections list configuration file blocks specific to supervised learning configuration files.</p>
+<section id="model-properties">
+<span id="model-properties-ref"></span><h3>Model Properties<a class="headerlink" href="#model-properties" title="Permalink to this heading">¶</a></h3>
+<p>The block in the configuration file defining model properties takes the following structure:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">model</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">type</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">&lt;model_type&gt;</span>
+<span class="w">  </span><span class="nt">parameters</span><span class="p">:</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain">&lt;option&gt; = &lt;value&gt;</span>
+</pre></div>
+</div>
+<p>The following table lists the available model types:</p>
+<table class="docutils align-default">
+<colgroup>
+<col style="width: 26%" />
+<col style="width: 74%" />
+</colgroup>
+<thead>
+<tr class="row-odd"><th class="head"><p>Model Type</p></th>
+<th class="head"><p>Description</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">torchscript</span></code></p></td>
+<td><p>Load a model from an exported TorchScript file</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">mlp</span></code></p></td>
+<td><p>Use built-in MLP model</p></td>
+</tr>
+</tbody>
+</table>
+<p>The following table lists the available options by model type:</p>
+<table class="docutils align-default">
+<colgroup>
+<col style="width: 7%" />
+<col style="width: 7%" />
+<col style="width: 8%" />
+<col style="width: 78%" />
+</colgroup>
+<thead>
+<tr class="row-odd"><th class="head"><p>Model Type</p></th>
+<th class="head"><p>Option</p></th>
+<th class="head"><p>Data Type</p></th>
+<th class="head"><p>Description</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">torchscript</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">filename</span></code></p></td>
+<td><p>string</p></td>
+<td><p>path to TorchScript exported model file</p></td>
+</tr>
+<tr class="row-odd"><td rowspan="2"><p><code class="docutils literal notranslate"><span class="pre">mlp</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">layer_sizes</span></code></p></td>
+<td><p>list of integers</p></td>
+<td><p>sequence of input/output sizes for linear layers e.g., <code class="docutils literal notranslate"><span class="pre">[16,</span> <span class="pre">32,</span> <span class="pre">4]</span></code> will create two linear layers with input/output of 16/32 for the first layer and 32/4 for the second layer.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">dropout</span></code></p></td>
+<td><p>float</p></td>
+<td><p>probability of an element to be zeroed in dropout layers (default = <code class="docutils literal notranslate"><span class="pre">0.0</span></code>)</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="loss-properties">
+<h3>Loss Properties<a class="headerlink" href="#loss-properties" title="Permalink to this heading">¶</a></h3>
+<p>The block in the configuration file defining loss properties takes the following structure:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">loss</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">type</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">&lt;loss_type&gt;</span>
+<span class="w">  </span><span class="nt">parameters</span><span class="p">:</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain">&lt;option&gt; = &lt;value&gt;</span>
+</pre></div>
+</div>
+<p>The following table lists the available loss types:</p>
+<table class="docutils align-default">
+<colgroup>
+<col style="width: 32%" />
+<col style="width: 68%" />
+</colgroup>
+<thead>
+<tr class="row-odd"><th class="head"><p>Loss Type</p></th>
+<th class="head"><p>Description</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">l1</span></code></p></td>
+<td><p>L1/Mean Average Error</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">mse</span></code></p></td>
+<td><p>Mean Squared Error</p></td>
+</tr>
+</tbody>
+</table>
+<p>The following table lists the available options by loss type:</p>
+<table class="docutils align-default">
+<colgroup>
+<col style="width: 7%" />
+<col style="width: 10%" />
+<col style="width: 7%" />
+<col style="width: 76%" />
+</colgroup>
+<thead>
+<tr class="row-odd"><th class="head"><p>Loss Type</p></th>
+<th class="head"><p>Option</p></th>
+<th class="head"><p>Data Type</p></th>
+<th class="head"><p>Description</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">l1</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">reduction</span></code></p></td>
+<td><p>string</p></td>
+<td><p>Specifies type of reduction to apply to output. Can be either <code class="docutils literal notranslate"><span class="pre">none</span></code>, <code class="docutils literal notranslate"><span class="pre">mean</span></code> or <code class="docutils literal notranslate"><span class="pre">sum</span></code>. (default = <code class="docutils literal notranslate"><span class="pre">mean</span></code>)</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">mse</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">reduction</span></code></p></td>
+<td><p>string</p></td>
+<td><p>Specifies type of reduction to apply to output. Can be either <code class="docutils literal notranslate"><span class="pre">none</span></code>, <code class="docutils literal notranslate"><span class="pre">mean</span></code> or <code class="docutils literal notranslate"><span class="pre">sum</span></code>. (default = <code class="docutils literal notranslate"><span class="pre">mean</span></code>)</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+</section>
+<section id="reinforcement-learning">
+<h2>Reinforcement Learning<a class="headerlink" href="#reinforcement-learning" title="Permalink to this heading">¶</a></h2>
+<p>The following sections list configuration file blocks specific to reinforcement learning system configuration files.</p>
+<section id="reinforcement-learning-training-algorithm-properties">
+<h3>Reinforcement Learning Training Algorithm Properties<a class="headerlink" href="#reinforcement-learning-training-algorithm-properties" title="Permalink to this heading">¶</a></h3>
+<p>The block in the configuration file defining algorithm properties takes the following structure:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">algorithm</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">type</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">&lt;algorithm_type&gt;</span>
+<span class="w">  </span><span class="nt">parameters</span><span class="p">:</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain">&lt;option&gt; = &lt;value&gt;</span>
+</pre></div>
+</div>
+<p>The following table lists the available algorithm types:</p>
+<table class="docutils align-default">
+<colgroup>
+<col style="width: 10%" />
+<col style="width: 90%" />
+</colgroup>
+<thead>
+<tr class="row-odd"><th class="head"><p>Algorithm Type</p></th>
+<th class="head"><p>Description</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">ddpg</span></code></p></td>
+<td><p>Deterministic Policy Gradient. See <a class="reference external" href="https://spinningup.openai.com/en/latest/algorithms/ddpg.html">DDPG documentation by OpenAI</a> for details</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">td3</span></code></p></td>
+<td><p>Twin Delayed DDPG. See <a class="reference external" href="https://spinningup.openai.com/en/latest/algorithms/td3.html">TD3 documentation by OpenAI</a> for details</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">sac</span></code></p></td>
+<td><p>Soft Actor Critic. See <a class="reference external" href="https://spinningup.openai.com/en/latest/algorithms/sac.html">SAC documentation by OpenAI</a> for details</p></td>
+</tr>
+</tbody>
+</table>
+<p>The following table lists the available options by algorithm type:</p>
+<table class="docutils align-default">
+<colgroup>
+<col style="width: 11%" />
+<col style="width: 19%" />
+<col style="width: 8%" />
+<col style="width: 62%" />
+</colgroup>
+<thead>
+<tr class="row-odd"><th class="head"><p>Algorithm Type</p></th>
+<th class="head"><p>Option</p></th>
+<th class="head"><p>Data Type</p></th>
+<th class="head"><p>Description</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td rowspan="5"><p><code class="docutils literal notranslate"><span class="pre">ddpg</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">batch_size</span></code></p></td>
+<td><p>integer</p></td>
+<td><p>batch size used in training</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">nstep</span></code></p></td>
+<td><p>integer</p></td>
+<td><p>number of steps for N-step training</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">nstep_reward_reduction</span></code></p></td>
+<td><p>string</p></td>
+<td><p>reduction mode for N-step training (see below)</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">gamma</span></code></p></td>
+<td><p>float</p></td>
+<td><p>discount factor</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">rho</span></code></p></td>
+<td><p>boolean</p></td>
+<td><p>weight average factor for target weights (in some frameworks called rho = 1-tau)</p></td>
+</tr>
+<tr class="row-odd"><td rowspan="7"><p><code class="docutils literal notranslate"><span class="pre">td3</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">batch_size</span></code></p></td>
+<td><p>integer</p></td>
+<td><p>batch size used in training</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">nstep</span></code></p></td>
+<td><p>integer</p></td>
+<td><p>number of steps for N-step training</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">nstep_reward_reduction</span></code></p></td>
+<td><p>string</p></td>
+<td><p>reduction mode for N-step training (see below)</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">gamma</span></code></p></td>
+<td><p>float</p></td>
+<td><p>discount factor</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">rho</span></code></p></td>
+<td><p>float</p></td>
+<td><p>weight average factor for target weights (in some frameworks called rho = 1-tau)</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">num_critics</span></code></p></td>
+<td><p>integer</p></td>
+<td><p>number of critic networks used</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">policy_lag</span></code></p></td>
+<td><p>integer</p></td>
+<td><p>update frequency for the policy in units of critic updates</p></td>
+</tr>
+<tr class="row-even"><td rowspan="7"><p><code class="docutils literal notranslate"><span class="pre">sac</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">batch_size</span></code></p></td>
+<td><p>integer</p></td>
+<td><p>batch size used in training</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">nstep</span></code></p></td>
+<td><p>integer</p></td>
+<td><p>number of steps for N-step training</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">nstep_reward_reduction</span></code></p></td>
+<td><p>string</p></td>
+<td><p>reduction mode for N-step training (see below)</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">gamma</span></code></p></td>
+<td><p>float</p></td>
+<td><p>discount factor</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">alpha</span></code></p></td>
+<td><p>float</p></td>
+<td><p>entropy regularization coefficient</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">rho</span></code></p></td>
+<td><p>boolean</p></td>
+<td><p>weight average factor for target weights (in some frameworks called rho = 1-tau)</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">policy_lag</span></code></p></td>
+<td><p>integer</p></td>
+<td><p>update frequency for the policy in units of value updates</p></td>
+</tr>
+</tbody>
+</table>
+<p>The parameter <code class="docutils literal notranslate"><span class="pre">nstep_reward_reduction</span></code> defines how the reward is accumulated over N-step rollouts. The options are summarized in a table below (<span class="math notranslate nohighlight">\(N\)</span> is the value from parameter <code class="docutils literal notranslate"><span class="pre">nstep</span></code> described above):</p>
+<table class="docutils align-default">
+<colgroup>
+<col style="width: 36%" />
+<col style="width: 64%" />
+</colgroup>
+<thead>
+<tr class="row-odd"><th class="head"><p>Reduction Mode</p></th>
+<th class="head"><p>Description</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">sum</span></code> or <code class="docutils literal notranslate"><span class="pre">sum_no_skip</span></code></p></td>
+<td><p><span class="math notranslate nohighlight">\(r = \sum_{i=1}^{N^\ast} \gamma^{i-1} r_i\)</span></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">mean</span></code> or <code class="docutils literal notranslate"><span class="pre">mean_no_skip</span></code></p></td>
+<td><p><span class="math notranslate nohighlight">\(r = \sum_{i=1}^{N^\ast} \gamma^{i-1} r_i / N^\ast\)</span></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">weighted_mean</span></code> or <code class="docutils literal notranslate"><span class="pre">weighted_mean_no_skip</span></code></p></td>
+<td><p><span class="math notranslate nohighlight">\(r = \sum_{i=1}^{N^\ast} \gamma^{i-1} r_i / (\sum_{k=1}^{N^\ast} \gamma^{k-1})\)</span></p></td>
+</tr>
+</tbody>
+</table>
+<p>Here, the value of <span class="math notranslate nohighlight">\(N^\ast\)</span> depends on whether reduction with or without skip is being chosen. In case of the former, <span class="math notranslate nohighlight">\(N^\ast = N\)</span> and the replay buffer is searching for trajectories with <strong>at least</strong> <span class="math notranslate nohighlight">\(N\)</span> steps. If the trajectory terminates earlier, the sample is skipped and a new one is searched. If <strong>all trajectories are shorter</strong> than <span class="math notranslate nohighlight">\(N\)</span> steps, the replay buffer <strong>will never find</strong> a suitable sample.</p>
+<p>In this case, it is useful to use the modes with the additional suffix <code class="docutils literal notranslate"><span class="pre">_no_skip</span></code>. In this case, <span class="math notranslate nohighlight">\(N^{\ast}\)</span> in the formulas will be equal to the minimum of <span class="math notranslate nohighlight">\(N\)</span> and the number of steps needed to reach the end of the trajectory. The regular and no-skip modes are both useful in different occasions, so it is important to be clear about how the reward structure has to be designed in order to achieve the desired goals.</p>
+</section>
+<section id="replay-buffer-properties">
+<h3>Replay Buffer Properties<a class="headerlink" href="#replay-buffer-properties" title="Permalink to this heading">¶</a></h3>
+<p>The block in the configuration file defining algorithm properties takes the following structure:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">replay_buffer</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">type</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">&lt;replay_buffer_type&gt;</span>
+<span class="w">  </span><span class="nt">parameters</span><span class="p">:</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain">&lt;option&gt; = &lt;value&gt;</span>
+</pre></div>
+</div>
+<p>Currently, only type <code class="docutils literal notranslate"><span class="pre">uniform</span></code> is supported. The following table lists the available options:</p>
+<table class="docutils align-default">
+<colgroup>
+<col style="width: 21%" />
+<col style="width: 13%" />
+<col style="width: 13%" />
+<col style="width: 52%" />
+</colgroup>
+<thead>
+<tr class="row-odd"><th class="head"><p>Replay Buffer Type</p></th>
+<th class="head"><p>Option</p></th>
+<th class="head"><p>Data Type</p></th>
+<th class="head"><p>Description</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td rowspan="2"><p><code class="docutils literal notranslate"><span class="pre">uniform</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">min_size</span></code></p></td>
+<td><p>integer</p></td>
+<td><p>Minimum number of samples before buffer is ready for training</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">max_size</span></code></p></td>
+<td><p>integer</p></td>
+<td><p>Maximum capacity</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="action-properties">
+<h3>Action Properties<a class="headerlink" href="#action-properties" title="Permalink to this heading">¶</a></h3>
+<p>The block in the configuration file defining action properties takes the following structure:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">action</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">type</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">&lt;action_type&gt;</span>
+<span class="w">  </span><span class="nt">parameters</span><span class="p">:</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain">&lt;option&gt; = &lt;value&gt;</span>
+</pre></div>
+</div>
+<p>The following table lists the available options for every action type for <code class="docutils literal notranslate"><span class="pre">ddpg</span></code> and <code class="docutils literal notranslate"><span class="pre">td3</span></code> algorithms:</p>
+<table class="docutils align-default">
+<colgroup>
+<col style="width: 32%" />
+<col style="width: 13%" />
+<col style="width: 8%" />
+<col style="width: 47%" />
+</colgroup>
+<thead>
+<tr class="row-odd"><th class="head"><p>Action Type</p></th>
+<th class="head"><p>Option</p></th>
+<th class="head"><p>Data Type</p></th>
+<th class="head"><p>Description</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td rowspan="6"><p><code class="docutils literal notranslate"><span class="pre">space_noise</span></code> or <code class="docutils literal notranslate"><span class="pre">parameter_noise</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">a_low</span></code></p></td>
+<td><p>float</p></td>
+<td><p>lower bound for action value</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">a_high</span></code></p></td>
+<td><p>float</p></td>
+<td><p>upper bound for action value</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">clip</span></code></p></td>
+<td><p>float</p></td>
+<td><p>clip value for training noise</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">sigma_train</span></code></p></td>
+<td><p>float</p></td>
+<td><p>standard deviation for gaussian training noise</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">sigma_explore</span></code></p></td>
+<td><p>float</p></td>
+<td><p>standard deviation for gaussian exploration noise</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">adaptive</span></code></p></td>
+<td><p>bool</p></td>
+<td><p>flag to specify whether the standard deviation should be adaptive</p></td>
+</tr>
+<tr class="row-even"><td rowspan="8"><p><code class="docutils literal notranslate"><span class="pre">space_noise_ou</span></code> or <code class="docutils literal notranslate"><span class="pre">parameter_noise_ou</span></code></p></td>
+<td><p><code class="docutils literal notranslate"><span class="pre">a_low</span></code></p></td>
+<td><p>float</p></td>
+<td><p>lower bound for action value</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">a_high</span></code></p></td>
+<td><p>float</p></td>
+<td><p>upper bound for action value</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">clip</span></code></p></td>
+<td><p>float</p></td>
+<td><p>clip value for training noise</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">sigma_train</span></code></p></td>
+<td><p>float</p></td>
+<td><p>standard deviation for Ornstein-Uhlenbeck training noise</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">sigma_explore</span></code></p></td>
+<td><p>float</p></td>
+<td><p>standard deviation for Ornstein-Uhlenbeck exploration noise</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">xi</span></code></p></td>
+<td><p>float</p></td>
+<td><p>mean reversion parameter for Ornstein-Uhlenbeck noise</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">dt</span></code></p></td>
+<td><p>float</p></td>
+<td><p>time-step parameter for Ornstein-Uhlenbeck noise</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">adaptive</span></code></p></td>
+<td><p>bool</p></td>
+<td><p>flag to specify whether the standard deviation should be adaptive</p></td>
+</tr>
+</tbody>
+</table>
+<p>The meaning for most of these parameters should be evident from looking at the details of the implementations for the various RL algorithms linked above.
+However, some parameters require a more detailed explanation: in general, the suffix <code class="docutils literal notranslate"><span class="pre">_ou</span></code> refers to stateful noise of Ornstein-Uhlenbeck type with zero drift. This noise type is often used if correlation between time steps is desired and thus popular in reinforcement learning. Check out the <a class="reference external" href="https://en.wikipedia.org/wiki/Ornstein–Uhlenbeck_process">wikipedia page</a> for details.</p>
+<p>The prefix <code class="docutils literal notranslate"><span class="pre">space</span></code> refers to applying the noise to the predicted ation directly. For example, if <span class="math notranslate nohighlight">\(p\)</span> is our (deterministic) policy function, an exploration action using space noise type is obtained by computing</p>
+<div class="math notranslate nohighlight">
+\[\tilde{a} = \mathrm{clip}(p(\theta, s) + \mathcal{N}(0,\sigma_\mathrm{explore}), a_\mathrm{low}, a_\mathrm{high})\]</div>
+<p>for any input state <span class="math notranslate nohighlight">\(s\)</span> and policy weights <span class="math notranslate nohighlight">\(\theta\)</span>. In case of parameter noise, the noise will be applied to each weight of <span class="math notranslate nohighlight">\(p\)</span> instead. Hence, the noised action is computed  via</p>
+<div class="math notranslate nohighlight">
+\[\tilde{a} = \mathrm{clip}(p(\theta + \mathcal{N}(0,\sigma_\mathrm{explore}), s), a_\mathrm{low}, a_\mathrm{high})\]</div>
+<p>The parameter <code class="docutils literal notranslate"><span class="pre">adaptive</span></code> specifies whether the noise variance <span class="math notranslate nohighlight">\(\sigma\)</span> should be taken relative to the magnitude of the action magnitudes or weight magnitudes for space and parameter noise respectively. In terms of the former, this would mean that</p>
+<div class="math notranslate nohighlight">
+\[ \begin{align}\begin{aligned}a &amp;= p(\theta, s)\\\tilde{a} &amp;= \mathrm{clip}(a + \sigma_\mathrm{explore}\,\mathcal{N}(0,\|a\|), a_\mathrm{low}, a_\mathrm{high})\end{aligned}\end{align} \]</div>
+<p>and analogous for parameter noise.</p>
+<p>Whichever noise type and parameters are the best highly depends on the behavior of the environment and therefore we cannot give a general recommendation.</p>
+<p>For algorithm type <code class="docutils literal notranslate"><span class="pre">sac</span></code>, only action bounds are supported as the noise is built into the algorithm and cannot be customized.</p>
+</section>
+<section id="policy-and-critic-properties">
+<h3>Policy and Critic Properties<a class="headerlink" href="#policy-and-critic-properties" title="Permalink to this heading">¶</a></h3>
+<p>The block in the configuration file defining model properties for actor/policy and critic/value are similar to the supervised learning case (see <a class="reference internal" href="#model-properties-ref"><span class="std std-ref">Model Properties</span></a>). In this case, TorchFort supports different model properties for policy and critic. The block configuration looks as follows:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">critic_model</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">type</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">&lt;critic_model_type&gt;</span>
+<span class="w">  </span><span class="nt">parameters</span><span class="p">:</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain">&lt;option&gt; = &lt;value&gt;</span>
+
+<span class="nt">policy_model</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">type</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">&lt;policy_model_type&gt;</span>
+<span class="w">  </span><span class="nt">parameters</span><span class="p">:</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain">&lt;option&gt; = &lt;value&gt;</span>
+</pre></div>
+</div>
+<p>Refer to the <a class="reference internal" href="#model-properties-ref"><span class="std std-ref">Model Properties</span></a> for available model types and options.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>For algorithms which use multiple critics networks such as TD3, the critic model is copied internally <code class="docutils literal notranslate"><span class="pre">num_critic</span></code> times and the weights are randomly initialized for each of these models independently.</p>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>In case of SAC algorithm, make sure that the policy network not only returns the mean actions value tensor but also the log probability sigma tensor. As an example see the policy function implementation of <a class="reference external" href="https://github.com/DLR-RM/stable-baselines3/blob/master/stable_baselines3/sac/policies.py">stable baselines</a>.</p>
+</div>
+</section>
+<section id="id1">
+<h3>Learning Rate Schedule Properties<a class="headerlink" href="#id1" title="Permalink to this heading">¶</a></h3>
+<p>For reinforcement learning, TorchFort supports different learning rate schedules for policy and critic. The block configuration looks as follows:</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">critic_lr_scheduler</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">type</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">&lt;schedule_type&gt;</span>
+<span class="w">  </span><span class="nt">parameters</span><span class="p">:</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain">&lt;option&gt; = &lt;value&gt;</span>
+
+<span class="nt">policy_lr_scheduler</span><span class="p">:</span>
+<span class="w">  </span><span class="nt">type</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">&lt;schedule_type&gt;</span>
+<span class="w">  </span><span class="nt">parameters</span><span class="p">:</span>
+<span class="w">    </span><span class="l l-Scalar l-Scalar-Plain">&lt;option&gt; = &lt;value&gt;</span>
+</pre></div>
+</div>
+<p>Refer to the <a class="reference internal" href="#lr-schedule-properties-ref"><span class="std std-ref">Learning Rate Schedule Properties</span></a> for available scheduler types and options.</p>
+</section>
+</section>
+</section>
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+  <section id="torchfort-fortran-api">
+<span id="torchfort-api-f-ref"></span><h1>TorchFort Fortran API<a class="headerlink" href="#torchfort-fortran-api" title="Permalink to this heading">¶</a></h1>
+<p>These are all the types and functions available in the TorchFort Fortran API.</p>
+<section id="general">
+<h2>General<a class="headerlink" href="#general" title="Permalink to this heading">¶</a></h2>
+<section id="types">
+<h3>Types<a class="headerlink" href="#types" title="Permalink to this heading">¶</a></h3>
+<section id="torchfort-datatype">
+<span id="torchfort-datatype-t-f-ref"></span><h4>torchfort_datatype<a class="headerlink" href="#torchfort-datatype" title="Permalink to this heading">¶</a></h4>
+<p>See documentation for equivalent C enumerator, <a class="reference internal" href="c_api.html#torchfort-datatype-t-ref"><span class="std std-ref">torchfort_datatype_t</span></a>.</p>
+<hr class="docutils" />
+</section>
+<section id="torchfort-result">
+<span id="torchfort-result-t-f-ref"></span><h4>torchfort_result<a class="headerlink" href="#torchfort-result" title="Permalink to this heading">¶</a></h4>
+<p>See documentation for equivalent C enumerator, <a class="reference internal" href="c_api.html#torchfort-result-t-ref"><span class="std std-ref">torchfort_result_t</span></a>.</p>
+</section>
+</section>
+<hr class="docutils" />
+<section id="global-context-settings">
+<h3>Global Context Settings<a class="headerlink" href="#global-context-settings" title="Permalink to this heading">¶</a></h3>
+<p>These are global routines which affect the behavior of the libtorch backend. It is therefore recommended to call these functions before any other TorchFort calls are made.</p>
+<section id="torchfort-set-cudnn-benchmark">
+<span id="torchfort-set-cudnn-benchmark-f-ref"></span><h4>torchfort_set_cudnn_benchmark<a class="headerlink" href="#torchfort-set-cudnn-benchmark" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_set_cudnn_benchmark">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_set_cudnn_benchmark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">flag</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_set_cudnn_benchmark" title="Permalink to this definition">¶</a></dt>
+<dd><p>Enables or disables cuDNN benchmark mode. See the <a class="reference external" href="https://pytorch.org/docs/stable/backends.html#torch.backends.cudnn.torch.backends.cudnn.benchmark">PyTorch documentation</a> for more details.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>flag</strong><em> [</em><em>logical</em><em>,</em><em>in</em><em>]</em> :: A flag to enable (<code class="code docutils literal notranslate"><span class="pre">.true.</span></code>) or disable (<code class="code docutils literal notranslate"><span class="pre">.false.</span></code>) cuDNN kernel benchmarking.</p>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+</section>
+</section>
+<section id="supervised-learning">
+<span id="torchfort-general-f-ref"></span><h2>Supervised Learning<a class="headerlink" href="#supervised-learning" title="Permalink to this heading">¶</a></h2>
+<section id="model-creation">
+<h3>Model Creation<a class="headerlink" href="#model-creation" title="Permalink to this heading">¶</a></h3>
+<section id="torchfort-create-model">
+<span id="torchfort-create-model-f-ref"></span><h4>torchfort_create_model<a class="headerlink" href="#torchfort-create-model" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_create_model">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_create_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">name</span></em>, <em class="sig-param"><span class="pre">config_fname</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_create_model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates a model from a provided configuration file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>handle</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: A name to assign to the created model instance to use as a key for other TorchFort routines.</p></li>
+<li><p><strong>config_fname</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The filesystem path to the user-defined model configuration file to use.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-create-distributed-model">
+<span id="torchfort-create-distributed-model-f-ref"></span><h4>torchfort_create_distributed_model<a class="headerlink" href="#torchfort-create-distributed-model" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_create_distributed_model">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_create_distributed_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">name</span></em>, <em class="sig-param"><span class="pre">config_fname</span></em>, <em class="sig-param"><span class="pre">mpi_comm</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_create_distributed_model" title="Permalink to this definition">¶</a></dt>
+<dd><blockquote>
+<div><p>Creates a distributed data-parallel model from a provided configuration file.</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>handle</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: A name to assign to the created model instance to use as a key for other TorchFort routines.</p></li>
+<li><p><strong>config_fname</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The filesystem path to the user-defined configuration file to use.</p></li>
+<li><p><strong>mpi_comm</strong><em> [</em><em>integer</em><em>,</em><em>in</em><em>]</em> :: MPI communicator to use to initialize NCCL communication library for data-parallel communication.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+<hr class="docutils" />
+<section id="model-training-inference">
+<h3>Model Training/Inference<a class="headerlink" href="#model-training-inference" title="Permalink to this heading">¶</a></h3>
+<section id="torchfort-train">
+<span id="torchfort-train-f-ref"></span><h4>torchfort_train<a class="headerlink" href="#torchfort-train" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_train">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">mname</span></em>, <em class="sig-param"><span class="pre">input</span></em>, <em class="sig-param"><span class="pre">label</span></em>, <em class="sig-param"><span class="pre">loss_val</span></em>, <em class="sig-param"><span class="pre">stream</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_train" title="Permalink to this definition">¶</a></dt>
+<dd><p>Runs a training iteration of a model instance using provided input and label data.</p>
+<p>For this operation, <code class="code docutils literal notranslate"><span class="pre">T</span></code> can be one of <code class="code docutils literal notranslate"><span class="pre">real(real32)</span></code>, <code class="code docutils literal notranslate"><span class="pre">real(real64)</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>mname</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The key of the model instance.</p></li>
+<li><p><strong>input</strong><em> [</em><em>T(*)</em><em>,</em><em>in</em><em>]</em> :: An array containing the input data. The last array dimension should be the batch dimension, the other dimensions are the feature dimensions.</p></li>
+<li><p><strong>label</strong><em> [</em><em>T(*)</em><em>,</em><em>in</em><em>]</em> :: An array containing the label data. The last array dimension should be the batch dimension. <code class="code docutils literal notranslate"><span class="pre">label</span></code> does not need to be of the same shape as <code class="code docutils literal notranslate"><span class="pre">input</span></code> but the batch dimension should match. Additionally, <code class="code docutils literal notranslate"><span class="pre">label</span></code> should be of the same rank as <cite>input</cite>.</p></li>
+<li><p><strong>loss_val</strong><em> [</em><em>T</em><em>,</em><em>out</em><em>]</em> :: A variable that will hold the loss value computed during the training iteration.</p></li>
+<li><p><strong>stream</strong><em> [</em><em>integer(cuda_stream_kind)</em><em>,</em><em>in,optional</em><em>]</em> :: CUDA stream to enqueue the training operations.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-inference">
+<span id="torchfort-inference-f-ref"></span><h4>torchfort_inference<a class="headerlink" href="#torchfort-inference" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_inference">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_inference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">mname</span></em>, <em class="sig-param"><span class="pre">input</span></em>, <em class="sig-param"><span class="pre">output</span></em>, <em class="sig-param"><span class="pre">stream</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_inference" title="Permalink to this definition">¶</a></dt>
+<dd><p>Runs inference on a model using provided input data.</p>
+<p>For this operation, <code class="code docutils literal notranslate"><span class="pre">T</span></code> can be one of <code class="code docutils literal notranslate"><span class="pre">real(real32)</span></code>, <code class="code docutils literal notranslate"><span class="pre">real(real64)</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>mname</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The key of the model instance.</p></li>
+<li><p><strong>input</strong><em> [</em><em>T(*)</em><em>,</em><em>in</em><em>]</em> :: An array containing the input data. The last array dimension should be the batch dimension, the other dimensions are the feature dimensions.</p></li>
+<li><p><strong>output</strong><em> [</em><em>T(*)</em><em>,</em><em>out</em><em>]</em> :: An array which will hold the output of the model. The last array dimension should be the batch dimension. <code class="code docutils literal notranslate"><span class="pre">output</span></code> does not need to be of the same shape as <code class="code docutils literal notranslate"><span class="pre">input</span></code> but the batch dimension should match. Additionally, <code class="code docutils literal notranslate"><span class="pre">output</span></code> should be of the same rank as <cite>input</cite>.</p></li>
+<li><p><strong>stream</strong><em> [</em><em>integer(cuda_stream_kind)</em><em>,</em><em>in,optional</em><em>]</em> :: CUDA stream to enqueue the training operations.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+<hr class="docutils" />
+<section id="model-management">
+<h3>Model Management<a class="headerlink" href="#model-management" title="Permalink to this heading">¶</a></h3>
+<section id="torchfort-save-model">
+<span id="torchfort-save-model-f-ref"></span><h4>torchfort_save_model<a class="headerlink" href="#torchfort-save-model" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_save_model">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_save_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">mname</span></em>, <em class="sig-param"><span class="pre">fname</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_save_model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Saves a model to file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>mname</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The name of model instance to save, as defined during model creation.</p></li>
+<li><p><strong>fname</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The filename to save the model weights to.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-load-model">
+<span id="torchfort-load-model-f-ref"></span><h4>torchfort_load_model<a class="headerlink" href="#torchfort-load-model" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_load_model">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_load_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">mname</span></em>, <em class="sig-param"><span class="pre">fname</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_load_model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Loads a model from a file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>mname</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The name of model instance to load the model weights to, as defined during model creation.</p></li>
+<li><p><strong>fname</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The filename to load the model weights from.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-save-checkpoint">
+<span id="torchfort-save-checkpoint-f-ref"></span><h4>torchfort_save_checkpoint<a class="headerlink" href="#torchfort-save-checkpoint" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_save_checkpoint">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_save_checkpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">mname</span></em>, <em class="sig-param"><span class="pre">checkpoint_dir</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_save_checkpoint" title="Permalink to this definition">¶</a></dt>
+<dd><p>Saves a training checkpoint to a directory. In contrast to <code class="code docutils literal notranslate"><span class="pre">torchfort_save_model</span></code>, this function saves additional state to restart training, like the optimizer states and learning rate schedule progress.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>mname</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The name of model instance to save, as defined during model creation.</p></li>
+<li><p><strong>checkpoint_dir</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: A writeable filesystem path to a directory to save the checkpoint data to.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-load-checkpoint">
+<span id="torchfort-load-checkpoint-f-ref"></span><h4>torchfort_load_checkpoint<a class="headerlink" href="#torchfort-load-checkpoint" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_load_checkpoint">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_load_checkpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">mname</span></em>, <em class="sig-param"><span class="pre">checkpoint_dir</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_load_checkpoint" title="Permalink to this definition">¶</a></dt>
+<dd><p>Loads a training checkpoint from a directory. In contrast to <code class="code docutils literal notranslate"><span class="pre">torchfort_load_model</span></code>, this function loads additional state to restart training, like the optimizer states and learning rate schedule progress.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>mname</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The name of model instance to load checkpoint data into, as defined during model creation.</p></li>
+<li><p><strong>checkpoint_dir</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: A readable filesystem path to a directory to load the checkpoint data from.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+<hr class="docutils" />
+<section id="weights-and-biases-logging">
+<h3>Weights and Biases Logging<a class="headerlink" href="#weights-and-biases-logging" title="Permalink to this heading">¶</a></h3>
+<section id="torchfort-wandb-log-int">
+<span id="torchfort-wandb-log-int-f-ref"></span><h4>torchfort_wandb_log_int<a class="headerlink" href="#torchfort-wandb-log-int" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_wandb_log_int">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_wandb_log_int</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">mname</span></em>, <em class="sig-param"><span class="pre">metric_name</span></em>, <em class="sig-param"><span class="pre">step</span></em>, <em class="sig-param"><span class="pre">val</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_wandb_log_int" title="Permalink to this definition">¶</a></dt>
+<dd><p>Write an integer value to a Weights and Bias log. Use the <code class="code docutils literal notranslate"><span class="pre">_float</span></code> and <code class="code docutils literal notranslate"><span class="pre">_double</span></code> variants to write <code class="code docutils literal notranslate"><span class="pre">real32</span></code> and <code class="code docutils literal notranslate"><span class="pre">real64</span></code> values respectively.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>mname</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The name of model instance to associate this metric value with, as defined during model creation.</p></li>
+<li><p><strong>metric_name</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: Metric label.</p></li>
+<li><p><strong>step</strong><em> [</em><em>integer</em><em>,</em><em>in</em><em>]</em> :: Training/inference step to associate with metric value.</p></li>
+<li><p><strong>val</strong><em> [</em><em>integer</em><em>,</em><em>in</em><em>]</em> :: Metric value to log.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-wandb-log-float">
+<span id="torchfort-wandb-log-float-f-ref"></span><h4>torchfort_wandb_log_float<a class="headerlink" href="#torchfort-wandb-log-float" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_wandb_log_float">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_wandb_log_float</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">mname</span></em>, <em class="sig-param"><span class="pre">metric_name</span></em>, <em class="sig-param"><span class="pre">step</span></em>, <em class="sig-param"><span class="pre">val</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_wandb_log_float" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-wandb-log-double">
+<span id="torchfort-wandb-log-double-f-ref"></span><h4>torchfort_wandb_log_double<a class="headerlink" href="#torchfort-wandb-log-double" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_wandb_log_double">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_wandb_log_double</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">mname</span></em>, <em class="sig-param"><span class="pre">metric_name</span></em>, <em class="sig-param"><span class="pre">step</span></em>, <em class="sig-param"><span class="pre">val</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_wandb_log_double" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<hr class="docutils" />
+</section>
+</section>
+</section>
+<section id="reinforcement-learning">
+<span id="torchfort-rl-f-ref"></span><h2>Reinforcement Learning<a class="headerlink" href="#reinforcement-learning" title="Permalink to this heading">¶</a></h2>
+<section id="system-creation">
+<h3>System Creation<a class="headerlink" href="#system-creation" title="Permalink to this heading">¶</a></h3>
+<p>Basic routines to create and register a reinforcement learning system in the internal registry. A (synchronous) data parallel distributed option is available.</p>
+<section id="torchfort-rl-off-policy-create-system">
+<span id="torchfort-rl-off-policy-create-system-f-ref"></span><h4>torchfort_rl_off_policy_create_system<a class="headerlink" href="#torchfort-rl-off-policy-create-system" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_rl_off_policy_create_system">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_rl_off_policy_create_system</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">name</span></em>, <em class="sig-param"><span class="pre">config_fname</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_rl_off_policy_create_system" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates an off-policy reinforcement learning training system instance from a provided configuration file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: A name to assign to the created training system instance to use as a key for other TorchFort routines.</p></li>
+<li><p><strong>config_fname</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The filesystem path to the user-defined configuration file to use.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-create-distributed-system">
+<span id="torchfort-rl-off-policy-create-distributed-system-f-ref"></span><h4>torchfort_rl_off_policy_create_distributed_system<a class="headerlink" href="#torchfort-rl-off-policy-create-distributed-system" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_rl_off_policy_create_distributed_system">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_rl_off_policy_create_distributed_system</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">name</span></em>, <em class="sig-param"><span class="pre">config_fname</span></em>, <em class="sig-param"><span class="pre">mpi_comm</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_rl_off_policy_create_distributed_system" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates a (synchronous) data-parallel off-policy reinforcement learning system instance from a provided configuration file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: A name to assign to the created training system instance to use as a key for other TorchFort routines.</p></li>
+<li><p><strong>config_fname</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The filesystem path to the user-defined configuration file to use.</p></li>
+<li><p><strong>mpi_comm</strong><em> [</em><em>integer</em><em>,</em><em>in</em><em>]</em> :: MPI communicator to use to initialize NCCL communication library for data-parallel communication.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+<hr class="docutils" />
+<section id="training-evaluation">
+<h3>Training/Evaluation<a class="headerlink" href="#training-evaluation" title="Permalink to this heading">¶</a></h3>
+<p>These routines are be used for training the reinforcement learning system or for steering the environment.</p>
+<section id="torchfort-rl-off-policy-train-step">
+<span id="torchfort-rl-off-policy-train-step-f-ref"></span><h4>torchfort_rl_off_policy_train_step<a class="headerlink" href="#torchfort-rl-off-policy-train-step" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_rl_off_policy_train_step">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_rl_off_policy_train_step</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">name</span></em>, <em class="sig-param"><span class="pre">p_loss_val</span></em>, <em class="sig-param"><span class="pre">q_loss_val</span></em>, <em class="sig-param"><span class="pre">stream</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_rl_off_policy_train_step" title="Permalink to this definition">¶</a></dt>
+<dd><p>Runs a training iteration of an off-policy refinforcement learning instance and returns loss values for policy and value functions.
+This routine samples a batch of specified size from the replay buffer according to the buffers sampling procedure
+and performs a train step using this sample. The details of the training procedure are abstracted away from the user and depend on the
+chosen system algorithm.
+For this operation, <code class="code docutils literal notranslate"><span class="pre">T</span></code> can be one of <code class="code docutils literal notranslate"><span class="pre">real(real32)</span></code>, <code class="code docutils literal notranslate"><span class="pre">real(real64)</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The name of system instance to use, as defined during system creation.</p></li>
+<li><p><strong>p_loss_val</strong><em> [</em><em>T</em><em>,</em><em>out</em><em>]</em> :: A single or double precision variable which will hold the policy loss value computed during the training iteration.</p></li>
+<li><p><strong>q_loss_val</strong><em> [</em><em>T</em><em>,</em><em>out</em><em>]</em> :: A single or double precision variable which will hold the critic loss value computed during the training iteration, averaged over all available critics (depends on the chosen algorithm).</p></li>
+<li><p><strong>stream</strong><em> [</em><em>integer(cuda_stream_kind)</em><em>,</em><em>in,optional</em><em>]</em> :: CUDA stream to enqueue the training operations.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-predict-explore">
+<span id="torchfort-rl-off-policy-predict-explore-f-ref"></span><h4>torchfort_rl_off_policy_predict_explore<a class="headerlink" href="#torchfort-rl-off-policy-predict-explore" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_rl_off_policy_predict_explore">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_rl_off_policy_predict_explore</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">name</span></em>, <em class="sig-param"><span class="pre">state</span></em>, <em class="sig-param"><span class="pre">act</span></em>, <em class="sig-param"><span class="pre">stream</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_rl_off_policy_predict_explore" title="Permalink to this definition">¶</a></dt>
+<dd><p>Suggests an action based on the current state of the system and adds noise as specified by the coprresponding reinforcement learning system.
+Depending on the reinforcement learning algorithm used, the prediction is performed by the main network (not the target network). In contrast to <code class="code docutils literal notranslate"><span class="pre">torchfort_rl_off_policy_predict</span></code>, this routine adds noise and thus is called explorative. The kind of noise is specified during system creation.</p>
+<p>For this operation, <code class="code docutils literal notranslate"><span class="pre">T</span></code> can be one of <code class="code docutils literal notranslate"><span class="pre">real(real32)</span></code>, <code class="code docutils literal notranslate"><span class="pre">real(real64)</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The name of system instance to use, as defined during system creation.</p></li>
+<li><p><strong>state</strong><em> [</em><em>T</em><em>,</em><em>in</em><em>]</em> :: Multi-dimensional array of size (…, <code class="code docutils literal notranslate"><span class="pre">batch_size</span></code>), depending on the dimensionality of the state space.</p></li>
+<li><p><strong>act</strong><em> [</em><em>T</em><em>,</em><em>out</em><em>]</em> :: Multi-dimensional array of size (…, <code class="code docutils literal notranslate"><span class="pre">batch_size</span></code>), depending on the dimensionality of the action space.</p></li>
+<li><p><strong>stream</strong><em> [</em><em>integer(cuda_stream_kind)</em><em>,</em><em>in,optional</em><em>]</em> :: CUDA stream to enqueue the operation.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-predict">
+<span id="torchfort-rl-off-policy-predict-f-ref"></span><h4>torchfort_rl_off_policy_predict<a class="headerlink" href="#torchfort-rl-off-policy-predict" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_rl_off_policy_predict">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_rl_off_policy_predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">name</span></em>, <em class="sig-param"><span class="pre">state</span></em>, <em class="sig-param"><span class="pre">act</span></em>, <em class="sig-param"><span class="pre">stream</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_rl_off_policy_predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Suggests an action based on the current state of the system.
+Depending on the algorithm used, the prediction is performed by the target network.
+In contrast to <code class="code docutils literal notranslate"><span class="pre">torchfort_rl_off_policy_predict_explore</span></code>, this routine does not add noise, which means it is exploitative.</p>
+<p>For this operation, <code class="code docutils literal notranslate"><span class="pre">T</span></code> can be one of <code class="code docutils literal notranslate"><span class="pre">real(real32)</span></code>, <code class="code docutils literal notranslate"><span class="pre">real(real64)</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The name of system instance to use, as defined during system creation.</p></li>
+<li><p><strong>state</strong><em> [</em><em>T</em><em>,</em><em>in</em><em>]</em> :: Multi-dimensional array of size (…, <code class="code docutils literal notranslate"><span class="pre">batch_size</span></code>), depending on the dimensionality of the state space.</p></li>
+<li><p><strong>act</strong><em> [</em><em>T</em><em>,</em><em>out</em><em>]</em> :: Multi-dimensional array of size (…, <code class="code docutils literal notranslate"><span class="pre">batch_size</span></code>), depending on the dimensionality of the action space.</p></li>
+<li><p><strong>stream</strong><em> [</em><em>integer(cuda_stream_kind)</em><em>,</em><em>in,optional</em><em>]</em> :: CUDA stream to enqueue the operation.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-evaluate">
+<span id="torchfort-rl-off-policy-evaluate-f-ref"></span><h4>torchfort_rl_off_policy_evaluate<a class="headerlink" href="#torchfort-rl-off-policy-evaluate" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_rl_off_policy_evaluate">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_rl_off_policy_evaluate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">name</span></em>, <em class="sig-param"><span class="pre">state</span></em>, <em class="sig-param"><span class="pre">act</span></em>, <em class="sig-param"><span class="pre">reward</span></em>, <em class="sig-param"><span class="pre">stream</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_rl_off_policy_evaluate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predicts the future reward based on the current state and selected action.
+Depending on the learning algorithm, the routine queries the target critic networks for this.
+The routine averages the predictions over all critics.</p>
+<p>For this operation, <code class="code docutils literal notranslate"><span class="pre">T</span></code> can be one of <code class="code docutils literal notranslate"><span class="pre">real(real32)</span></code>, <code class="code docutils literal notranslate"><span class="pre">real(real64)</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The name of system instance to use, as defined during system creation.</p></li>
+<li><p><strong>state</strong><em> [</em><em>T</em><em>,</em><em>in</em><em>]</em> :: Multi-dimensional array of size (…, <code class="code docutils literal notranslate"><span class="pre">batch_size</span></code>), depending on the dimensionality of the state space.</p></li>
+<li><p><strong>act</strong><em> [</em><em>T</em><em>,</em><em>in</em><em>]</em> :: Multi-dimensional array of size (…, <code class="code docutils literal notranslate"><span class="pre">batch_size</span></code>), depending on the dimensionality of the action space.</p></li>
+<li><p><strong>reward</strong><em> [</em><em>T</em><em>,</em><em>out</em><em>]</em> :: Two-dimensional array of size (1, <code class="code docutils literal notranslate"><span class="pre">batch_size</span></code>) which will hold the predicted reward values.</p></li>
+<li><p><strong>stream</strong><em> [</em><em>integer(cuda_stream_kind)</em><em>,</em><em>in,optional</em><em>]</em> :: CUDA stream to enqueue the operation.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+<hr class="docutils" />
+<section id="system-management">
+<h3>System Management<a class="headerlink" href="#system-management" title="Permalink to this heading">¶</a></h3>
+<section id="torchfort-rl-off-policy-update-replay-buffer">
+<span id="torchfort-rl-off-policy-update-replay-buffer-f-ref"></span><h4>torchfort_rl_off_policy_update_replay_buffer<a class="headerlink" href="#torchfort-rl-off-policy-update-replay-buffer" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_rl_off_policy_update_replay_buffer">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_rl_off_policy_update_replay_buffer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">name</span></em>, <em class="sig-param"><span class="pre">state_old</span></em>, <em class="sig-param"><span class="pre">act_old</span></em>, <em class="sig-param"><span class="pre">state_new</span></em>, <em class="sig-param"><span class="pre">reward</span></em>, <em class="sig-param"><span class="pre">terminal</span></em>, <em class="sig-param"><span class="pre">stream</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_rl_off_policy_update_replay_buffer" title="Permalink to this definition">¶</a></dt>
+<dd><p>Adds a new <span class="math notranslate nohighlight">\((s, a, s', r, d)\)</span> tuple to the replay buffer. Here <span class="math notranslate nohighlight">\(s\)</span> (<code class="code docutils literal notranslate"><span class="pre">state_old</span></code>) is the state for which action <span class="math notranslate nohighlight">\(a\)</span> (<code class="code docutils literal notranslate"><span class="pre">action_old</span></code>) was taken, leading to <span class="math notranslate nohighlight">\(s'\)</span> (<code class="code docutils literal notranslate"><span class="pre">state_new</span></code>) and receiving reward <span class="math notranslate nohighlight">\(r\)</span> (<code class="code docutils literal notranslate"><span class="pre">reward</span></code>). The terminal state flag <span class="math notranslate nohighlight">\(d\)</span> (<code class="code docutils literal notranslate"><span class="pre">final_state</span></code>) specifies whether <span class="math notranslate nohighlight">\(s'\)</span> is the final state in the episode.</p>
+<p>For this operation, <code class="code docutils literal notranslate"><span class="pre">T</span></code> can be one of <code class="code docutils literal notranslate"><span class="pre">real(real32)</span></code>, <code class="code docutils literal notranslate"><span class="pre">real(real64)</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The name of system instance to use, as defined during system creation.</p></li>
+<li><p><strong>state_old</strong><em> [</em><em>T</em><em>,</em><em>in</em><em>]</em> :: Multi-dimensional array of size of the state space.</p></li>
+<li><p><strong>act_old</strong><em> [</em><em>T</em><em>,</em><em>in</em><em>]</em> :: Multi-dimensional array of size of the action space.</p></li>
+<li><p><strong>state_new</strong><em> [</em><em>T</em><em>,</em><em>in</em><em>]</em> :: Multi-dimensional array of size of the state space.</p></li>
+<li><p><strong>reward</strong><em> [</em><em>T</em><em>,</em><em>in</em><em>]</em> :: Reward value.</p></li>
+<li><p><strong>final_state</strong><em> [</em><em>logical</em><em>,</em><em>in</em><em>]</em> :: Terminal flag.</p></li>
+<li><p><strong>stream</strong><em> [</em><em>integer(cuda_stream_kind)</em><em>,</em><em>in,optional</em><em>]</em> :: CUDA stream to enqueue the operation.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-is-ready">
+<span id="torchfort-rl-off-policy-is-ready-f-ref"></span><h4>torchfort_rl_off_policy_is_ready<a class="headerlink" href="#torchfort-rl-off-policy-is-ready" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_rl_off_policy_is_ready">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_rl_off_policy_is_ready</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">name</span></em>, <em class="sig-param"><span class="pre">ready</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_rl_off_policy_is_ready" title="Permalink to this definition">¶</a></dt>
+<dd><p>Queries a reinforcement learning system for rediness to start training.
+A user should call this method before starting training to make sure the reinforcement learning system is ready.
+This ensures that the replay buffer is filled sufficiently with exploration data as specified during system creation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The name of system instance to use, as defined during system creation.</p></li>
+<li><p><strong>ready</strong><em> [</em><em>logical</em><em>,</em><em>out</em><em>]</em> :: Logical indicating if the system is ready for training.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-save-checkpoint">
+<span id="torchfort-rl-off-policy-save-checkpoint-f-ref"></span><h4>torchfort_rl_off_policy_save_checkpoint<a class="headerlink" href="#torchfort-rl-off-policy-save-checkpoint" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_rl_off_policy_save_checkpoint">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_rl_off_policy_save_checkpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">name</span></em>, <em class="sig-param"><span class="pre">checkpoint_dir</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_rl_off_policy_save_checkpoint" title="Permalink to this definition">¶</a></dt>
+<dd><p>Saves a reinforcement learning training checkpoint to a directory.
+This method saves all models (policies, critics, target models if available) together with their corresponding optimizer and LR scheduler.
+states. It also saves the state of the replay buffer, to allow for smooth restarts of reinforcement learning training processes.
+This function should be used in conjunction with <code class="code docutils literal notranslate"><span class="pre">torchfort_rl_off_policy_load_checkpoint</span></code>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The name of system instance to use, as defined during system creation.</p></li>
+<li><p><strong>checkpoint_dir</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: A filesystem path to a directory to save the checkpoint data to.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-load-checkpoint">
+<span id="torchfort-rl-off-policy-load-checkpoint-f-ref"></span><h4>torchfort_rl_off_policy_load_checkpoint<a class="headerlink" href="#torchfort-rl-off-policy-load-checkpoint" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_rl_off_policy_load_checkpoint">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_rl_off_policy_load_checkpoint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">name</span></em>, <em class="sig-param"><span class="pre">checkpoint_dir</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_rl_off_policy_load_checkpoint" title="Permalink to this definition">¶</a></dt>
+<dd><p>Restores a reinforcement learning system from a checkpoint.
+This method restores all models (policies, critics, target models if available) together with their corresponding optimizer and LR scheduler
+states. It also fully restores the state of the replay buffer, but not the current RNG seed.
+This function should be used in conjunction with <code class="code docutils literal notranslate"><span class="pre">torchfort_rl_off_policy_save_checkpoint</span></code>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The name of system instance to use, as defined during system creation.</p></li>
+<li><p><strong>checkpoint_dir</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: A filesystem path to a directory which contains the checkpoint data to load.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+</section>
+<section id="id1">
+<h3>Weights and Biases Logging<a class="headerlink" href="#id1" title="Permalink to this heading">¶</a></h3>
+<section id="torchfort-rl-off-policy-wandb-log-int">
+<span id="torchfort-rl-off-policy-wandb-log-int-f-ref"></span><h4>torchfort_rl_off_policy_wandb_log_int<a class="headerlink" href="#torchfort-rl-off-policy-wandb-log-int" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_rl_off_policy_wandb_log_int">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_rl_off_policy_wandb_log_int</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">mname</span></em>, <em class="sig-param"><span class="pre">metric_name</span></em>, <em class="sig-param"><span class="pre">step</span></em>, <em class="sig-param"><span class="pre">val</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_rl_off_policy_wandb_log_int" title="Permalink to this definition">¶</a></dt>
+<dd><p>Write an integer value to a Weights and Bias log. Use the <code class="code docutils literal notranslate"><span class="pre">_float</span></code> and <code class="code docutils literal notranslate"><span class="pre">_double</span></code> variants to write <code class="code docutils literal notranslate"><span class="pre">real32</span></code> and <code class="code docutils literal notranslate"><span class="pre">real64</span></code> values respectively.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>mname</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: The name of model instance to associate this metric value with, as defined during model creation.</p></li>
+<li><p><strong>metric_name</strong><em> [</em><em>character(:)</em><em>,</em><em>in</em><em>]</em> :: Metric label.</p></li>
+<li><p><strong>step</strong><em> [</em><em>integer</em><em>,</em><em>in</em><em>]</em> :: Training/inference step to associate with metric value.</p></li>
+<li><p><strong>val</strong><em> [</em><em>integer</em><em>,</em><em>in</em><em>]</em> :: Metric value to log.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p><strong>res</strong><em> [</em><em>torchfort_result</em><em>]</em> :: <code class="code docutils literal notranslate"><span class="pre">TORCHFORT_RESULT_SUCCESS</span></code> on success or error code on failure.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-wandb-log-float">
+<span id="torchfort-rl-off-policy-wandb-log-float-f-ref"></span><h4>torchfort_rl_off_policy_wandb_log_float<a class="headerlink" href="#torchfort-rl-off-policy-wandb-log-float" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_rl_off_policy_wandb_log_float">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_rl_off_policy_wandb_log_float</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">mname</span></em>, <em class="sig-param"><span class="pre">metric_name</span></em>, <em class="sig-param"><span class="pre">step</span></em>, <em class="sig-param"><span class="pre">val</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_rl_off_policy_wandb_log_float" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<hr class="docutils" />
+</section>
+<section id="torchfort-rl-off-policy-wandb-log-double">
+<span id="torchfort-rl-off-policy-wandb-log-double-f-ref"></span><h4>torchfort_rl_off_policy_wandb_log_double<a class="headerlink" href="#torchfort-rl-off-policy-wandb-log-double" title="Permalink to this heading">¶</a></h4>
+<dl>
+<dt class="sig sig-object f" id="f/_/torchfort_rl_off_policy_wandb_log_double">
+<em class="property"><span class="pre">function</span>&#160; </em><span class="sig-name descname"><span class="pre">torchfort_rl_off_policy_wandb_log_double</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">mname</span></em>, <em class="sig-param"><span class="pre">metric_name</span></em>, <em class="sig-param"><span class="pre">step</span></em>, <em class="sig-param"><span class="pre">val</span></em><span class="sig-paren">)</span><a class="headerlink" href="#f/_/torchfort_rl_off_policy_wandb_log_double" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
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+              <ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="installation.html">Installation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="usage.html">Usage Guide</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">TorchFort API</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Extras</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="#weights-and-biases-support">Weights and Biases Support</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#add-custom-metrics-reporting-to-application">Add Custom Metrics Reporting to Application</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#set-up-environment">Set up Environment</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#start-background-watcher-process">Start Background Watcher Process</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#start-your-torchfort-application">Start Your TorchFort Application</a></li>
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+             
+  <section id="extras">
+<h1>Extras<a class="headerlink" href="#extras" title="Permalink to this heading">¶</a></h1>
+<section id="weights-and-biases-support">
+<span id="wandb-support-ref"></span><h2>Weights and Biases Support<a class="headerlink" href="#weights-and-biases-support" title="Permalink to this heading">¶</a></h2>
+<p><a class="reference external" href="https://wandb.ai/site">Weights and Biases</a> (wandb) is a popular tool for monitoring machine learning training workflows. Wandb supports plotting and comparing loss curves and other relevant deep learning metrics, system utilization (including GPU, CPU and memory utilization) and other advanced logging functionalities like uploading images and/or videos, network weights and data artifacts.</p>
+<p>Since wandb does currently not offer a C++ interface and thus cannot be called from Fortran or C/C++ directly, we’ve implemented a wandb daemon written in Python instead. This daemon runs as a background process and waits for changes in a log file generated by the TorchFort application. In order to enable wandb support for your TorchFort application, the following steps have to be performed.</p>
+<section id="add-custom-metrics-reporting-to-application">
+<h3>Add Custom Metrics Reporting to Application<a class="headerlink" href="#add-custom-metrics-reporting-to-application" title="Permalink to this heading">¶</a></h3>
+<p>The TorchFort training routines already provide logging of training step, loss values as well as learning rate which are captured by the wandb daemon. Additional custom metrics can be added manually by the user. For this purpose, the user may add calls of <code class="docutils literal notranslate"><span class="pre">torchfort_wandb_log</span></code> or <code class="docutils literal notranslate"><span class="pre">torchfort_rl_off_policy_wandb_log</span></code> for traditional and reinforcement learning applications respectively (see <a class="reference internal" href="usage.html#supervised-learning-ref"><span class="std std-ref">Supervised Learning</span></a> and <a class="reference internal" href="usage.html#reinforcement-learning-ref"><span class="std std-ref">Reinforcement Learning</span></a> for details about why we provide different implementations for these two cases). For more information, see <a class="reference internal" href="api/c_api.html#torchfort-api-c-ref"><span class="std std-ref">TorchFort C API</span></a> for C/C++ and <a class="reference internal" href="api/f_api.html#torchfort-api-f-ref"><span class="std std-ref">TorchFort Fortran API</span></a> for Fortran applications.</p>
+</section>
+<section id="set-up-environment">
+<h3>Set up Environment<a class="headerlink" href="#set-up-environment" title="Permalink to this heading">¶</a></h3>
+<p>You need to specify your <a class="reference external" href="https://docs.wandb.ai/guides/track/public-api-guide#authentication">wandb api token</a> via the environment variable <code class="docutils literal notranslate"><span class="pre">WANDB_API_KEY</span></code> (see the <a class="reference external" href="https://docs.wandb.ai/guides/track/environment-variables#multiple-wandb-users-on-shared-machines">wandb documentation on available environment variables</a> for details).
+Furthermore, the daemon needs to know where the the wandb logging data from the TorchFort application will be stored. This can be done by defining the environment variable <code class="docutils literal notranslate"><span class="pre">TORCHFORT_LOGDIR</span></code>. Lastly, a user0defined wandb logging directory <code class="docutils literal notranslate"><span class="pre">WANDB_LOGGING_DIR</span></code> can be created to gather all wandb information as well as the config file in a place specific to the run.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>The logging directory <code class="docutils literal notranslate"><span class="pre">TORCHFORT_LOGDIR</span></code> needs to be specified before the daemon and TorchFort application are launched.</p>
+</div>
+</section>
+<section id="start-background-watcher-process">
+<h3>Start Background Watcher Process<a class="headerlink" href="#start-background-watcher-process" title="Permalink to this heading">¶</a></h3>
+<p>Now, the wandb daemon process needs to be started. Assuming TorchFort was installed in <code class="docutils literal notranslate"><span class="pre">TORCHFORT_INSTALL_DIR</span></code>, we can run</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span><span class="si">${</span><span class="nv">TORCHFORT_INSTALL_DIR</span><span class="si">}</span>/bin/python/wandb_helper.py<span class="w"> </span><span class="se">\</span>
+<span class="w">            </span>--wandb_dir<span class="o">=</span><span class="si">${</span><span class="nv">WANDB_LOGGING_DIR</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
+<span class="w">            </span>--wandb_group<span class="o">=</span>&lt;wandb-group-name&gt;<span class="w"> </span><span class="se">\</span>
+<span class="w">            </span>--wandb_project<span class="o">=</span>&lt;wandb-project-name&gt;<span class="w"> </span><span class="se">\</span>
+<span class="w">            </span>--wandb_entity<span class="o">=</span>&lt;wandb-entity-name&gt;<span class="w"> </span><span class="se">\</span>
+<span class="w">            </span>--run_tag<span class="o">=</span>&lt;run-name&gt;<span class="w"> </span><span class="se">\</span>
+<span class="w">            </span>--timeout<span class="o">=</span><span class="m">2400</span><span class="w"> </span><span class="p">&amp;</span>
+</pre></div>
+</div>
+<p>The wandb group, project as well as entity name correspond to the wandb project you are logging to. Those correspond to the respective arguments of <code class="docutils literal notranslate"><span class="pre">wandb.init</span></code> documented <a class="reference external" href="https://docs.wandb.ai/ref/python/init">here</a>. Note that the group does not need to exist and will be created during initialization. The run tag can be any alphanumeric string and can be used to identify the specific run on the wandb dashboard. Lastly, the timeout (measured in seconds) determines for how long the background process will wait for changes to appear in <code class="docutils literal notranslate"><span class="pre">${TORCHFORT_LOGIDR}/torchfort.log</span></code> before wrapping up the monitoring.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Do not forget to launch the daemon into the background.</p>
+</div>
+</section>
+<section id="start-your-torchfort-application">
+<h3>Start Your TorchFort Application<a class="headerlink" href="#start-your-torchfort-application" title="Permalink to this heading">¶</a></h3>
+<p>In the configuration file for your TorchFort application, make sure to enable wandb logging in the <code class="docutils literal notranslate"><span class="pre">general</span></code> section by adding or modifying the line <code class="docutils literal notranslate"><span class="pre">enable_wandb_hook:</span> <span class="pre">1</span></code>. Lastly, start the TorchFort application as usual, e.g.:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>./my_torchfort_app<span class="w"> </span>arg1<span class="w"> </span>arg2<span class="w"> </span>arg3
+</pre></div>
+</div>
+<p>The daemone process will pick up the log lines from <code class="docutils literal notranslate"><span class="pre">${TORCHFORT_LOGIDR}/torchfort.log</span></code> and display the data on the corresponding job dashboard.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>The daemon can finalize the monitoring while the TorchFort application is still running if the timeout is not set sufficiently large, especially for long running applications with very sparse logging.</p>
+</div>
+</section>
+</section>
+</section>
+
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+<li class="toctree-l1"><a class="reference internal" href="api.html">TorchFort API</a></li>
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+
+<div class="genindex-jumpbox">
+ <a href="#T"><strong>T</strong></a>
+ 
+</div>
+<h2 id="T">T</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="api/c_api.html#_CPPv434torchfort_create_distributed_modelPKcPKc8MPI_Comm">torchfort_create_distributed_model (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_create_distributed_model"><strong>torchfort_create_distributed_model() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv422torchfort_create_modelPKcPKc">torchfort_create_model (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_create_model"><strong>torchfort_create_model() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv420torchfort_datatype_t">torchfort_datatype_t (C++ enum)</a>
+</li>
+      <li><a href="api/c_api.html#_CPPv4N20torchfort_datatype_t16TORCHFORT_DOUBLEE">torchfort_datatype_t::TORCHFORT_DOUBLE (C++ enumerator)</a>
+</li>
+      <li><a href="api/c_api.html#_CPPv4N20torchfort_datatype_t15TORCHFORT_FLOATE">torchfort_datatype_t::TORCHFORT_FLOAT (C++ enumerator)</a>
+</li>
+      <li><a href="api/c_api.html#_CPPv419torchfort_inferencePKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t">torchfort_inference (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_inference"><strong>torchfort_inference() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv425torchfort_load_checkpointPKcPKcP7int64_tP7int64_t">torchfort_load_checkpoint (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_load_checkpoint"><strong>torchfort_load_checkpoint() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv420torchfort_load_modelPKcPKc">torchfort_load_model (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_load_model"><strong>torchfort_load_model() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv418torchfort_result_t">torchfort_result_t (C++ enum)</a>
+</li>
+      <li><a href="api/c_api.html#_CPPv4N18torchfort_result_t27TORCHFORT_RESULT_CUDA_ERRORE">torchfort_result_t::TORCHFORT_RESULT_CUDA_ERROR (C++ enumerator)</a>
+</li>
+      <li><a href="api/c_api.html#_CPPv4N18torchfort_result_t31TORCHFORT_RESULT_INTERNAL_ERRORE">torchfort_result_t::TORCHFORT_RESULT_INTERNAL_ERROR (C++ enumerator)</a>
+</li>
+      <li><a href="api/c_api.html#_CPPv4N18torchfort_result_t30TORCHFORT_RESULT_INVALID_USAGEE">torchfort_result_t::TORCHFORT_RESULT_INVALID_USAGE (C++ enumerator)</a>
+</li>
+      <li><a href="api/c_api.html#_CPPv4N18torchfort_result_t26TORCHFORT_RESULT_MPI_ERRORE">torchfort_result_t::TORCHFORT_RESULT_MPI_ERROR (C++ enumerator)</a>
+</li>
+      <li><a href="api/c_api.html#_CPPv4N18torchfort_result_t27TORCHFORT_RESULT_NCCL_ERRORE">torchfort_result_t::TORCHFORT_RESULT_NCCL_ERROR (C++ enumerator)</a>
+</li>
+      <li><a href="api/c_api.html#_CPPv4N18torchfort_result_t30TORCHFORT_RESULT_NOT_SUPPORTEDE">torchfort_result_t::TORCHFORT_RESULT_NOT_SUPPORTED (C++ enumerator)</a>
+</li>
+      <li><a href="api/c_api.html#_CPPv4N18torchfort_result_t24TORCHFORT_RESULT_SUCCESSE">torchfort_result_t::TORCHFORT_RESULT_SUCCESS (C++ enumerator)</a>
+</li>
+      <li><a href="api/c_api.html#_CPPv449torchfort_rl_off_policy_create_distributed_systemPKcPKc8MPI_Comm">torchfort_rl_off_policy_create_distributed_system (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_rl_off_policy_create_distributed_system"><strong>torchfort_rl_off_policy_create_distributed_system() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv437torchfort_rl_off_policy_create_systemPKcPKc">torchfort_rl_off_policy_create_system (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_rl_off_policy_create_system"><strong>torchfort_rl_off_policy_create_system() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv432torchfort_rl_off_policy_evaluatePKcPv6size_tP7int64_tPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t">torchfort_rl_off_policy_evaluate (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_rl_off_policy_evaluate"><strong>torchfort_rl_off_policy_evaluate() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv432torchfort_rl_off_policy_is_readyPKcRb">torchfort_rl_off_policy_is_ready (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_rl_off_policy_is_ready"><strong>torchfort_rl_off_policy_is_ready() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv439torchfort_rl_off_policy_load_checkpointPKcPKc">torchfort_rl_off_policy_load_checkpoint (C++ function)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="api/f_api.html#f/_/torchfort_rl_off_policy_load_checkpoint"><strong>torchfort_rl_off_policy_load_checkpoint() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv431torchfort_rl_off_policy_predictPKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t">torchfort_rl_off_policy_predict (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_rl_off_policy_predict"><strong>torchfort_rl_off_policy_predict() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv439torchfort_rl_off_policy_predict_explorePKcPv6size_tP7int64_tPv6size_tP7int64_t20torchfort_datatype_t12cudaStream_t">torchfort_rl_off_policy_predict_explore (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_rl_off_policy_predict_explore"><strong>torchfort_rl_off_policy_predict_explore() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv439torchfort_rl_off_policy_save_checkpointPKcPKc">torchfort_rl_off_policy_save_checkpoint (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_rl_off_policy_save_checkpoint"><strong>torchfort_rl_off_policy_save_checkpoint() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv434torchfort_rl_off_policy_train_stepPKcPfPf12cudaStream_t">torchfort_rl_off_policy_train_step (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_rl_off_policy_train_step"><strong>torchfort_rl_off_policy_train_step() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv444torchfort_rl_off_policy_update_replay_bufferPKcPvPv6size_tP7int64_tPv6size_tP7int64_tPKvb20torchfort_datatype_t12cudaStream_t">torchfort_rl_off_policy_update_replay_buffer (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_rl_off_policy_update_replay_buffer"><strong>torchfort_rl_off_policy_update_replay_buffer() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv440torchfort_rl_off_policy_wandb_log_doublePKcPKc7int64_td">torchfort_rl_off_policy_wandb_log_double (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_rl_off_policy_wandb_log_double"><strong>torchfort_rl_off_policy_wandb_log_double() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv439torchfort_rl_off_policy_wandb_log_floatPKcPKc7int64_tf">torchfort_rl_off_policy_wandb_log_float (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_rl_off_policy_wandb_log_float"><strong>torchfort_rl_off_policy_wandb_log_float() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv437torchfort_rl_off_policy_wandb_log_intPKcPKc7int64_ti">torchfort_rl_off_policy_wandb_log_int (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_rl_off_policy_wandb_log_int"><strong>torchfort_rl_off_policy_wandb_log_int() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv425torchfort_save_checkpointPKcPKc">torchfort_save_checkpoint (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_save_checkpoint"><strong>torchfort_save_checkpoint() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv420torchfort_save_modelPKcPKc">torchfort_save_model (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_save_model"><strong>torchfort_save_model() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv429torchfort_set_cudnn_benchmarkKb">torchfort_set_cudnn_benchmark (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_set_cudnn_benchmark"><strong>torchfort_set_cudnn_benchmark() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv415torchfort_trainPKcPv6size_tP7int64_tPv6size_tP7int64_tPv20torchfort_datatype_t12cudaStream_t">torchfort_train (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_train"><strong>torchfort_train() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv426torchfort_wandb_log_doublePKcPKc7int64_td">torchfort_wandb_log_double (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_wandb_log_double"><strong>torchfort_wandb_log_double() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv425torchfort_wandb_log_floatPKcPKc7int64_tf">torchfort_wandb_log_float (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_wandb_log_float"><strong>torchfort_wandb_log_float() (fortran function)</strong></a>
+</li>
+      <li><a href="api/c_api.html#_CPPv423torchfort_wandb_log_intPKcPKc7int64_ti">torchfort_wandb_log_int (C++ function)</a>
+</li>
+      <li><a href="api/f_api.html#f/_/torchfort_wandb_log_int"><strong>torchfort_wandb_log_int() (fortran function)</strong></a>
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+  <section id="torchfort-an-online-deep-learning-interface-for-hpc-programs-on-nvidia-gpus">
+<h1>TorchFort: An Online Deep Learning Interface for HPC programs on NVIDIA GPUs<a class="headerlink" href="#torchfort-an-online-deep-learning-interface-for-hpc-programs-on-nvidia-gpus" title="Permalink to this heading">¶</a></h1>
+<p>These pages contain the documentation for TorchFort, an online deep learning interface for HPC programs.</p>
+<p>TorchFort is a DL training and inference interface for HPC programs implemented using LibTorch, the C++ backend used by the <a class="reference external" href="https://pytorch.org">PyTorch</a> framework.
+The goal of this library is to help practitioners and domain scientists to seamlessly combine their simulation codes with Deep Learning functionalities available
+within PyTorch.
+This library can be invoked directly from Fortran or C/C++ programs, enabling transparent sharing of data arrays to and from the DL framework all contained within the
+simulation process (i.e., no external glue/data-sharing code required). The library can directly load PyTorch model definitions exported to TorchScript and implements a
+configurable training process that users can control via a simple YAML configuration file format. The configuration files enable users to specify optimizer and loss selection,
+learning rate schedules, and much more.</p>
+<p>Please contact us or open a GitHub issue if you are interested in using this library
+in your own solvers and have questions on usage and/or feature requests.</p>
+</section>
+<section id="table-of-contents">
+<h1>Table of Contents<a class="headerlink" href="#table-of-contents" title="Permalink to this heading">¶</a></h1>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="installation.html">Installation</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="installation.html#docker-installation">Docker Installation</a></li>
+<li class="toctree-l2"><a class="reference internal" href="installation.html#cmake-installation">CMake Installation</a></li>
+<li class="toctree-l2"><a class="reference internal" href="installation.html#build-documentation">Build Documentation</a></li>
+<li class="toctree-l2"><a class="reference internal" href="installation.html#directory-structure">Directory Structure</a></li>
+</ul>
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+<li class="toctree-l1"><a class="reference internal" href="usage.html">Usage Guide</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="usage.html#supervised-learning">Supervised Learning</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="usage.html#creating-a-model">Creating a model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="usage.html#run-a-training-step">Run a Training Step</a></li>
+<li class="toctree-l3"><a class="reference internal" href="usage.html#run-inference-to-generate-predicted-output">Run Inference to generate predicted output</a></li>
+<li class="toctree-l3"><a class="reference internal" href="usage.html#checkpoint-restart">Checkpoint/Restart</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="usage.html#reinforcement-learning">Reinforcement Learning</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="usage.html#creating-an-rl-system">Creating an RL system</a></li>
+<li class="toctree-l3"><a class="reference internal" href="usage.html#replay-buffer-management">Replay Buffer Management</a></li>
+<li class="toctree-l3"><a class="reference internal" href="usage.html#generating-action-predictions">Generating Action Predictions</a></li>
+<li class="toctree-l3"><a class="reference internal" href="usage.html#training-step">Training Step</a></li>
+<li class="toctree-l3"><a class="reference internal" href="usage.html#id1">Checkpoint/Restart</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">TorchFort API</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="api/config.html">TorchFort Configuration Files</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="api/config.html#common">Common</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/config.html#general-properties">General Properties</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/config.html#optimizer-properties">Optimizer Properties</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/config.html#learning-rate-schedule-properties">Learning Rate Schedule Properties</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="api/config.html#supervised-learning">Supervised Learning</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/config.html#model-properties">Model Properties</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/config.html#loss-properties">Loss Properties</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="api/config.html#reinforcement-learning">Reinforcement Learning</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/config.html#reinforcement-learning-training-algorithm-properties">Reinforcement Learning Training Algorithm Properties</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/config.html#replay-buffer-properties">Replay Buffer Properties</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/config.html#action-properties">Action Properties</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/config.html#policy-and-critic-properties">Policy and Critic Properties</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/config.html#id1">Learning Rate Schedule Properties</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="api/c_api.html">TorchFort C API</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="api/c_api.html#general">General</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#types">Types</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#global-context-settings">Global Context Settings</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="api/c_api.html#supervised-learning">Supervised Learning</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#model-creation">Model Creation</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#model-training-inference">Model Training/Inference</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#model-management">Model Management</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#weights-and-biases-logging">Weights and Biases Logging</a></li>
+</ul>
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+<li class="toctree-l3"><a class="reference internal" href="api/c_api.html#reinforcement-learning">Reinforcement Learning</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#system-creation">System Creation</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="api/c_api.html#id1">Weights and Biases Logging</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="api/f_api.html">TorchFort Fortran API</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="api/f_api.html#general">General</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#types">Types</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#model-creation">Model Creation</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#model-training-inference">Model Training/Inference</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#model-management">Model Management</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#weights-and-biases-logging">Weights and Biases Logging</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="api/f_api.html#reinforcement-learning">Reinforcement Learning</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#system-creation">System Creation</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#training-evaluation">Training/Evaluation</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#system-management">System Management</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/f_api.html#id1">Weights and Biases Logging</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="extras.html">Extras</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="extras.html#weights-and-biases-support">Weights and Biases Support</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="extras.html#add-custom-metrics-reporting-to-application">Add Custom Metrics Reporting to Application</a></li>
+<li class="toctree-l3"><a class="reference internal" href="extras.html#set-up-environment">Set up Environment</a></li>
+<li class="toctree-l3"><a class="reference internal" href="extras.html#start-background-watcher-process">Start Background Watcher Process</a></li>
+<li class="toctree-l3"><a class="reference internal" href="extras.html#start-your-torchfort-application">Start Your TorchFort Application</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+</section>
+<section id="indices-and-tables">
+<h1>Indices and tables<a class="headerlink" href="#indices-and-tables" title="Permalink to this heading">¶</a></h1>
+<ul class="simple">
+<li><p><a class="reference internal" href="genindex.html"><span class="std std-ref">Index</span></a></p></li>
+<li><p><a class="reference internal" href="py-modindex.html"><span class="std std-ref">Module Index</span></a></p></li>
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+<li class="toctree-l2"><a class="reference internal" href="#docker-installation">Docker Installation</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#cmake-installation">CMake Installation</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#build-documentation">Build Documentation</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#directory-structure">Directory Structure</a></li>
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+</li>
+<li class="toctree-l1"><a class="reference internal" href="usage.html">Usage Guide</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">TorchFort API</a></li>
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+  <section id="installation">
+<h1>Installation<a class="headerlink" href="#installation" title="Permalink to this heading">¶</a></h1>
+<p>TorchFort can be installed in multiple ways but we highly recommend building and using a Docker container.</p>
+<section id="docker-installation">
+<h2>Docker Installation<a class="headerlink" href="#docker-installation" title="Permalink to this heading">¶</a></h2>
+<p>We provide a <code class="docutils literal notranslate"><span class="pre">Dockerfile</span></code> which contains all relevant dependencies. In order to build TorchFort using Docker, simply clone the repo and call:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>build<span class="w"> </span>-t<span class="w"> </span>torchfort:latest<span class="w"> </span>-f<span class="w"> </span>docker/Dockerfile<span class="w"> </span>.
+</pre></div>
+</div>
+<p>from the top level directory of the repo. Inside the container, TorchFort will be installed in <code class="docutils literal notranslate"><span class="pre">/opt/torchfort</span></code>.</p>
+</section>
+<section id="cmake-installation">
+<h2>CMake Installation<a class="headerlink" href="#cmake-installation" title="Permalink to this heading">¶</a></h2>
+<p>For a native installation TorchFort provides a <code class="docutils literal notranslate"><span class="pre">CMakeList.txt</span></code> file. Please make sure that the following required packages are installed on your system before installing TorchFort:</p>
+<ul class="simple">
+<li><p>Requirements for core functionality and examples:</p>
+<ul>
+<li><p>CUDA 11.8 (CUDA 12.x is <strong>not</strong> supported yet)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">python</span></code> version 3.6 or higher</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">pybind11</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">yaml-cpp</span></code> from <a class="reference external" href="https://github.com/jbeder/yaml-cpp.git">https://github.com/jbeder/yaml-cpp.git</a></p></li>
+<li><p>C++ compiler <code class="docutils literal notranslate"><span class="pre">nvcc</span></code> and Fortran compiler <code class="docutils literal notranslate"><span class="pre">nvfortran</span></code>. We recommend installing the <a class="reference external" href="https://developer.nvidia.com/hpc-sdk">NVIDIA HPC SDK Toolkit</a>.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">HDF5</span></code></p></li>
+<li><p>the Python modules specified in <code class="docutils literal notranslate"><span class="pre">requirements.txt</span></code></p></li>
+</ul>
+</li>
+<li><p>Additional requirements for building this documentation:</p>
+<ul>
+<li><p>Doxygen</p></li>
+<li><p>the Python modules specified in <code class="docutils literal notranslate"><span class="pre">docs/requirements.txt</span></code></p></li>
+</ul>
+</li>
+</ul>
+<p>To build TorchFort, clone the repo and set the environment variable <code class="docutils literal notranslate"><span class="pre">NVHPC_CMAKE_DIR</span></code> to the directory where the NVIDIA HPC SDK Toolkit CMake config files are located. Those are usually located in <code class="docutils literal notranslate"><span class="pre">&lt;NVHPC</span> <span class="pre">root</span> <span class="pre">directory&gt;/cmake</span></code>. Then, call from the root directory:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>mkdir<span class="w"> </span>build<span class="w"> </span><span class="o">&amp;&amp;</span><span class="w"> </span><span class="nb">cd</span><span class="w"> </span>build
+cmake<span class="w"> </span>-DCMAKE_INSTALL_PREFIX<span class="o">=</span>&lt;TorchFort<span class="w"> </span>installation<span class="w"> </span>prefix&gt;<span class="w"> </span><span class="se">\</span>
+<span class="w">      </span>-DNVHPC_CUDA_VERSION<span class="o">=</span><span class="m">11</span>.8<span class="w"> </span><span class="se">\</span>
+<span class="w">      </span>-DCMAKE_PREFIX_PATH<span class="o">=</span><span class="s2">&quot;`python -c &#39;import torch;print(torch.utils.cmake_prefix_path)&#39;`;</span><span class="si">${</span><span class="nv">NHPC_CMAKE_DIR</span><span class="si">}</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>..
+make<span class="w"> </span>-j<span class="w"> </span>install
+</pre></div>
+</div>
+</section>
+<section id="build-documentation">
+<h2>Build Documentation<a class="headerlink" href="#build-documentation" title="Permalink to this heading">¶</a></h2>
+<p>The documentation can be built with the corresponding <code class="docutils literal notranslate"><span class="pre">Makefile</span></code> in the <code class="docutils literal notranslate"><span class="pre">docs</span></code> directory. Make sure that the requirements are installed and call:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nb">cd</span><span class="w"> </span>docs<span class="w"> </span><span class="o">&amp;&amp;</span><span class="w"> </span>make<span class="w"> </span>html
+</pre></div>
+</div>
+<p>The docs will be located in <code class="docutils literal notranslate"><span class="pre">docs/_build/html</span></code> and can be viewed locally in your web browser.</p>
+</section>
+<section id="directory-structure">
+<h2>Directory Structure<a class="headerlink" href="#directory-structure" title="Permalink to this heading">¶</a></h2>
+<p>Independent of how you decide to install TorchFort, the directory structure will be as follows:</p>
+<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="o">&lt;</span><span class="n">TorchFort</span><span class="w"> </span><span class="n">installation</span><span class="w"> </span><span class="n">prefix</span><span class="o">&gt;</span>
+<span class="o">|---</span><span class="w"> </span><span class="n">bin</span>
+<span class="w">     </span><span class="o">|---</span><span class="w"> </span><span class="n">examples</span>
+<span class="w">          </span><span class="o">|---</span><span class="w"> </span><span class="n">cpp</span>
+<span class="w">          </span><span class="o">|---</span><span class="w"> </span><span class="n">fortran</span>
+<span class="w">     </span><span class="o">|---</span><span class="w"> </span><span class="n">python</span>
+<span class="o">|---</span><span class="w"> </span><span class="n">include</span>
+<span class="o">|---</span><span class="w"> </span><span class="n">lib</span>
+</pre></div>
+</div>
+<p>The <code class="docutils literal notranslate"><span class="pre">bin</span></code> folder contains the examples written in C++ or Fortran located in the corresponding subdirectories. The <code class="docutils literal notranslate"><span class="pre">python</span></code> subfolder contains the Python wrappers for <a class="reference internal" href="extras.html#wandb-support-ref"><span class="std std-ref">Weights and Biases Support</span></a>.</p>
+<p>The Fortran module <code class="docutils literal notranslate"><span class="pre">torchfort.mod</span></code> as well as the C headers can be found inside the <code class="docutils literal notranslate"><span class="pre">include</span></code> folder and the dynamic libraries inside the <code class="docutils literal notranslate"><span class="pre">lib</span></code> folder.</p>
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+<li class="toctree-l2"><a class="reference internal" href="#supervised-learning">Supervised Learning</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#creating-a-model">Creating a model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#run-a-training-step">Run a Training Step</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#run-inference-to-generate-predicted-output">Run Inference to generate predicted output</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#checkpoint-restart">Checkpoint/Restart</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="#reinforcement-learning">Reinforcement Learning</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#creating-an-rl-system">Creating an RL system</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#replay-buffer-management">Replay Buffer Management</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#generating-action-predictions">Generating Action Predictions</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#training-step">Training Step</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#id1">Checkpoint/Restart</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">TorchFort API</a></li>
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+  <section id="usage-guide">
+<h1>Usage Guide<a class="headerlink" href="#usage-guide" title="Permalink to this heading">¶</a></h1>
+<p>TorchFort provides API functions to support two common Deep Learning paradigms: supervised learning and reinforcement learning. Due to the differences in structure between these approaches, the API
+is organized largely into separate sets of functions designed to facilitate each approach.</p>
+<section id="supervised-learning">
+<span id="supervised-learning-ref"></span><h2>Supervised Learning<a class="headerlink" href="#supervised-learning" title="Permalink to this heading">¶</a></h2>
+<p>Supervised learning approaches are by far the most common within Deep Learning. TorchFort provides functions to create/load/save models and run supervised training and inference on models, all directly within a C/C++/Fortran program.
+For a complete list of functions available, see <a class="reference internal" href="api/c_api.html#torchfort-general-c-ref"><span class="std std-ref">Supervised Learning</span></a> for C/C++ or <a class="reference internal" href="api/f_api.html#torchfort-general-f-ref"><span class="std std-ref">Supervised Learning</span></a> for Fortran bindings.</p>
+<p>Here, we will provide a high-level guide to using TorchFort for a supervised learning problem. For a more detailed usage example, we refer to the <code class="docutils literal notranslate"><span class="pre">simulation</span></code> example provided in this repository in the <code class="docutils literal notranslate"><span class="pre">examples/fortran</span></code> directory.</p>
+<section id="creating-a-model">
+<h3>Creating a model<a class="headerlink" href="#creating-a-model" title="Permalink to this heading">¶</a></h3>
+<p>First, create a model instance.</p>
+<div class="sphinx-tabs docutils container">
+<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-0-Rm9ydHJhbg==" aria-selected="true" class="sphinx-tabs-tab code-tab group-tab" id="tab-0-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tab" tabindex="0">Fortran</button><button aria-controls="panel-0-Qysr" aria-selected="false" class="sphinx-tabs-tab code-tab group-tab" id="tab-0-Qysr" name="Qysr" role="tab" tabindex="-1">C++</button></div><div aria-labelledby="tab-0-Rm9ydHJhbg==" class="sphinx-tabs-panel code-tab group-tab" id="panel-0-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tabpanel" tabindex="0"><div class="highlight-fortran notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_create_model</span><span class="p">(</span><span class="n">model_name</span><span class="p">,</span><span class="w"> </span><span class="n">configfile</span><span class="p">)</span>
+</pre></div>
+</div>
+</div><div aria-labelledby="tab-0-Qysr" class="sphinx-tabs-panel code-tab group-tab" hidden="true" id="panel-0-Qysr" name="Qysr" role="tabpanel" tabindex="0"><div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_create_model</span><span class="p">(</span><span class="n">model_name</span><span class="p">,</span><span class="w"> </span><span class="n">configfile</span><span class="p">);</span>
+</pre></div>
+</div>
+</div></div>
+<p>This function instantiates a model, associating a string <code class="docutils literal notranslate"><span class="pre">model_name</span></code> with a model instance created using a YAML configuration file located at path <code class="docutils literal notranslate"><span class="pre">configfile</span></code>. See <a class="reference internal" href="api/config.html#torchfort-config-ref"><span class="std std-ref">TorchFort Configuration Files</span></a> for details
+on the YAML configuration file format and options.</p>
+</section>
+<section id="run-a-training-step">
+<h3>Run a Training Step<a class="headerlink" href="#run-a-training-step" title="Permalink to this heading">¶</a></h3>
+<p>Run a training step on input and label data generated from your program.</p>
+<div class="sphinx-tabs docutils container">
+<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-1-Rm9ydHJhbg==" aria-selected="true" class="sphinx-tabs-tab code-tab group-tab" id="tab-1-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tab" tabindex="0">Fortran</button><button aria-controls="panel-1-Qysr" aria-selected="false" class="sphinx-tabs-tab code-tab group-tab" id="tab-1-Qysr" name="Qysr" role="tab" tabindex="-1">C++</button></div><div aria-labelledby="tab-1-Rm9ydHJhbg==" class="sphinx-tabs-panel code-tab group-tab" id="panel-1-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tabpanel" tabindex="0"><div class="highlight-fortran notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_train</span><span class="p">(</span><span class="n">model_name</span><span class="p">,</span><span class="w"> </span><span class="n">input</span><span class="p">,</span><span class="w"> </span><span class="n">label</span><span class="p">,</span><span class="w"> </span><span class="n">loss</span><span class="p">,</span><span class="w"> </span><span class="n">stream</span><span class="p">)</span>
+</pre></div>
+</div>
+</div><div aria-labelledby="tab-1-Qysr" class="sphinx-tabs-panel code-tab group-tab" hidden="true" id="panel-1-Qysr" name="Qysr" role="tabpanel" tabindex="0"><div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_train</span><span class="p">(</span><span class="n">model_name</span><span class="p">,</span>
+<span class="w">                        </span><span class="n">input</span><span class="p">,</span><span class="w"> </span><span class="n">input_dim</span><span class="p">,</span><span class="w"> </span><span class="n">input_shape</span><span class="p">,</span>
+<span class="w">                        </span><span class="n">label</span><span class="p">,</span><span class="w"> </span><span class="n">label_dim</span><span class="p">,</span><span class="w"> </span><span class="n">label_shape</span><span class="p">,</span>
+<span class="w">                        </span><span class="n">loss</span><span class="p">,</span><span class="w"> </span><span class="n">dtype</span><span class="p">,</span><span class="w"> </span><span class="n">stream</span><span class="p">);</span>
+</pre></div>
+</div>
+</div></div>
+<p>This function passes the <code class="docutils literal notranslate"><span class="pre">input</span></code> and <code class="docutils literal notranslate"><span class="pre">label</span></code> data to the model instance associated with <code class="docutils literal notranslate"><span class="pre">model_name</span></code> and runs a training iteration, updating the model parameters as necessary. The training loss is returned by reference to the <code class="docutils literal notranslate"><span class="pre">loss</span></code> variable.
+In the Fortran API, <code class="docutils literal notranslate"><span class="pre">input</span></code> and <code class="docutils literal notranslate"><span class="pre">label</span></code> are multi-dimensional Fortran arrays, with dimension/shape/datatype information automatically inferred in the interface.</p>
+</section>
+<section id="run-inference-to-generate-predicted-output">
+<h3>Run Inference to generate predicted output<a class="headerlink" href="#run-inference-to-generate-predicted-output" title="Permalink to this heading">¶</a></h3>
+<p>After training the model on one or more samples, we can run an inference to generate a predicted output.</p>
+<div class="sphinx-tabs docutils container">
+<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-2-Rm9ydHJhbg==" aria-selected="true" class="sphinx-tabs-tab code-tab group-tab" id="tab-2-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tab" tabindex="0">Fortran</button><button aria-controls="panel-2-Qysr" aria-selected="false" class="sphinx-tabs-tab code-tab group-tab" id="tab-2-Qysr" name="Qysr" role="tab" tabindex="-1">C++</button></div><div aria-labelledby="tab-2-Rm9ydHJhbg==" class="sphinx-tabs-panel code-tab group-tab" id="panel-2-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tabpanel" tabindex="0"><div class="highlight-fortran notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_inference</span><span class="p">(</span><span class="n">model_name</span><span class="p">,</span><span class="w"> </span><span class="n">input</span><span class="p">,</span><span class="w"> </span><span class="n">output</span><span class="p">,</span><span class="w"> </span><span class="n">stream</span><span class="p">)</span>
+</pre></div>
+</div>
+</div><div aria-labelledby="tab-2-Qysr" class="sphinx-tabs-panel code-tab group-tab" hidden="true" id="panel-2-Qysr" name="Qysr" role="tabpanel" tabindex="0"><div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_inference</span><span class="p">(</span><span class="n">model_name</span><span class="p">,</span>
+<span class="w">                            </span><span class="n">input</span><span class="p">,</span><span class="w"> </span><span class="n">output_dim</span><span class="p">,</span><span class="w"> </span><span class="n">output_shape</span><span class="p">,</span>
+<span class="w">                            </span><span class="n">output</span><span class="p">,</span><span class="w"> </span><span class="n">output_dim</span><span class="p">,</span><span class="w"> </span><span class="n">output_shape</span><span class="p">,</span>
+<span class="w">                            </span><span class="n">dtype</span><span class="p">,</span><span class="w"> </span><span class="n">stream</span><span class="p">);</span>
+</pre></div>
+</div>
+</div></div>
+<p>This function passes the <code class="docutils literal notranslate"><span class="pre">input</span></code> data to the model instance associated with <code class="docutils literal notranslate"><span class="pre">model_name</span></code> and runs an inference, returning the predicted output from the model to <code class="docutils literal notranslate"><span class="pre">output</span></code>.
+In the Fortran API, <code class="docutils literal notranslate"><span class="pre">input</span></code> and <code class="docutils literal notranslate"><span class="pre">output</span></code> are multi-dimensional Fortran arrays, with dimension/shape/datatype information automatically inferred in the interface.</p>
+</section>
+<section id="checkpoint-restart">
+<h3>Checkpoint/Restart<a class="headerlink" href="#checkpoint-restart" title="Permalink to this heading">¶</a></h3>
+<p>The complete training state (current model parameters, optimizer state, learning rate scheduler progress) can be written to a checkpoint directory at any point during training.</p>
+<div class="sphinx-tabs docutils container">
+<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-3-Rm9ydHJhbg==" aria-selected="true" class="sphinx-tabs-tab code-tab group-tab" id="tab-3-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tab" tabindex="0">Fortran</button><button aria-controls="panel-3-Qysr" aria-selected="false" class="sphinx-tabs-tab code-tab group-tab" id="tab-3-Qysr" name="Qysr" role="tab" tabindex="-1">C++</button></div><div aria-labelledby="tab-3-Rm9ydHJhbg==" class="sphinx-tabs-panel code-tab group-tab" id="panel-3-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tabpanel" tabindex="0"><div class="highlight-fortran notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_save_checkpoint</span><span class="p">(</span><span class="n">model_name</span><span class="p">,</span><span class="w"> </span><span class="n">directory_name</span><span class="p">)</span>
+</pre></div>
+</div>
+</div><div aria-labelledby="tab-3-Qysr" class="sphinx-tabs-panel code-tab group-tab" hidden="true" id="panel-3-Qysr" name="Qysr" role="tabpanel" tabindex="0"><div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_save_checkpoint</span><span class="p">(</span><span class="n">model_name</span><span class="p">,</span><span class="w"> </span><span class="n">directory_name</span><span class="p">);</span>
+</pre></div>
+</div>
+</div></div>
+<p>This function will write checkpoint data for the model instance associated with <code class="docutils literal notranslate"><span class="pre">model_name</span></code> to the directory provided by <code class="docutils literal notranslate"><span class="pre">directory_name</span></code>. The directory will contain several subdirectories and files
+containing required information for restart.</p>
+<p>To load a checkpoint into a created model instance, run the following:</p>
+<div class="sphinx-tabs docutils container">
+<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-4-Rm9ydHJhbg==" aria-selected="true" class="sphinx-tabs-tab code-tab group-tab" id="tab-4-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tab" tabindex="0">Fortran</button><button aria-controls="panel-4-Qysr" aria-selected="false" class="sphinx-tabs-tab code-tab group-tab" id="tab-4-Qysr" name="Qysr" role="tab" tabindex="-1">C++</button></div><div aria-labelledby="tab-4-Rm9ydHJhbg==" class="sphinx-tabs-panel code-tab group-tab" id="panel-4-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tabpanel" tabindex="0"><div class="highlight-fortran notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_load_checkpoint</span><span class="p">(</span><span class="n">model_name</span><span class="p">,</span><span class="w"> </span><span class="n">directory_name</span><span class="p">,</span><span class="w"> </span><span class="n">step_train</span><span class="p">,</span><span class="w"> </span><span class="n">step_inference</span><span class="p">)</span>
+</pre></div>
+</div>
+</div><div aria-labelledby="tab-4-Qysr" class="sphinx-tabs-panel code-tab group-tab" hidden="true" id="panel-4-Qysr" name="Qysr" role="tabpanel" tabindex="0"><div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_load_checkpoint</span><span class="p">(</span><span class="n">model_name</span><span class="p">,</span><span class="w"> </span><span class="n">directory_name</span><span class="p">,</span><span class="w"> </span><span class="n">step_train</span><span class="p">,</span><span class="w"> </span><span class="n">step_inference</span><span class="p">);</span>
+</pre></div>
+</div>
+</div></div>
+<p>This function will load the checkpoint data from the directory <code class="docutils literal notranslate"><span class="pre">directory_name</span></code> into the model instance associated with <code class="docutils literal notranslate"><span class="pre">model_name</span></code>. <code class="docutils literal notranslate"><span class="pre">step_train</span></code> and <code class="docutils literal notranslate"><span class="pre">step_inference</span></code> are the checkpointed training step and inference step
+respectively, returned by reference.</p>
+<p>For inference, only the model and not a full checkpoint needs to be loaded. For this, run the following function instead:</p>
+<div class="sphinx-tabs docutils container">
+<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-5-Rm9ydHJhbg==" aria-selected="true" class="sphinx-tabs-tab code-tab group-tab" id="tab-5-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tab" tabindex="0">Fortran</button><button aria-controls="panel-5-Qysr" aria-selected="false" class="sphinx-tabs-tab code-tab group-tab" id="tab-5-Qysr" name="Qysr" role="tab" tabindex="-1">C++</button></div><div aria-labelledby="tab-5-Rm9ydHJhbg==" class="sphinx-tabs-panel code-tab group-tab" id="panel-5-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tabpanel" tabindex="0"><div class="highlight-fortran notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_load_model</span><span class="p">(</span><span class="n">model_name</span><span class="p">,</span><span class="w"> </span><span class="n">model_file</span><span class="p">)</span>
+</pre></div>
+</div>
+</div><div aria-labelledby="tab-5-Qysr" class="sphinx-tabs-panel code-tab group-tab" hidden="true" id="panel-5-Qysr" name="Qysr" role="tabpanel" tabindex="0"><div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_load_checkpoint</span><span class="p">(</span><span class="n">model_name</span><span class="p">,</span><span class="w"> </span><span class="n">model_file</span><span class="p">);</span>
+</pre></div>
+</div>
+</div></div>
+<p>This function will load the model data from the file <code class="docutils literal notranslate"><span class="pre">model_file</span></code> into the model instance associated with <code class="docutils literal notranslate"><span class="pre">model_name</span></code>. The model file
+can be one generated using the <code class="docutils literal notranslate"><span class="pre">torchfort_save_model</span></code> function or one found within a saved checkpoint directory, found at <code class="docutils literal notranslate"><span class="pre">&lt;checkpoint</span> <span class="pre">directory</span> <span class="pre">name&gt;/model.pt</span></code>.</p>
+</section>
+</section>
+<section id="reinforcement-learning">
+<span id="reinforcement-learning-ref"></span><h2>Reinforcement Learning<a class="headerlink" href="#reinforcement-learning" title="Permalink to this heading">¶</a></h2>
+<p>Most modern reinforcement learning (RL) algorithms utilize different neural networks for policy and value functions and often require keeping track of multiple copies for each of the models (e.g., the <a class="reference external" href="https://spinningup.openai.com/en/latest/algorithms/ddpg.html">DDPG</a> or <a class="reference external" href="https://spinningup.openai.com/en/latest/algorithms/td3.html">TD3</a> algorithms). Furthermore, the training algorithm causes those networks to interact in a non-trivial way. Additionally, off-policy methods require keeping track of historic data stored in a replay buffers, keeping track of actions and system states and rewards. Many reinforcement learning algorithms are deterministic in nature and thus require manual injection of randomness into the training process by employing parameter or action space noise.</p>
+<p>The practitioner who seeks to employ these methods is often not interested in implementing all these features by hand, since it would significantly increase the complexity of the wrapped simulation application. In fact, most of these features can be reused among a broad range of applications. Therefore, instead of providing access to all the individual parts, TorchFort encapsulates all these details into a structure we call an <code class="docutils literal notranslate"><span class="pre">rl_system</span></code> and abstracts all the bookeeping away from the user. The user only has to configure the system and then ensure that data is added to the replay buffer and training steps or action predictions are performed whenever it is necessary from the simulation code. Routines for reinforcement learning routines are prefixed with <code class="docutils literal notranslate"><span class="pre">torchfort_rl_off_policy</span></code>.
+Currently, TorchFort only provides off-policy methods as those have been proven to be most versatile and powerful for a broad range of tasks. On-policy methods may be added in the future, hence we distinguish between these two cases in the TorchFort API.</p>
+<p>We will provide a high-level guide for users who would like to add reinforcement learning functionality to their code. We assume that the user is familiar with the basic concepts of deep and reinforcement learning and understands the possibilities and limitations of these methods. This guide is far from exhaustive and for a complete list of reinforcement learning functions see <a class="reference internal" href="api/c_api.html#torchfort-rl-c-ref"><span class="std std-ref">Reinforcement Learning</span></a> for C/C++ or <a class="reference internal" href="api/f_api.html#torchfort-rl-f-ref"><span class="std std-ref">Reinforcement Learning</span></a> for Fortran respectively. We also suggest reviewing the <code class="docutils literal notranslate"><span class="pre">example</span></code> folder where we have implemented the cartpole RL problem in C++ using TorchFort.</p>
+<section id="creating-an-rl-system">
+<h3>Creating an RL system<a class="headerlink" href="#creating-an-rl-system" title="Permalink to this heading">¶</a></h3>
+<p>To start, a TorchFort rl system has to be initialized with the call:</p>
+<div class="sphinx-tabs docutils container">
+<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-6-Rm9ydHJhbg==" aria-selected="true" class="sphinx-tabs-tab code-tab group-tab" id="tab-6-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tab" tabindex="0">Fortran</button><button aria-controls="panel-6-Qysr" aria-selected="false" class="sphinx-tabs-tab code-tab group-tab" id="tab-6-Qysr" name="Qysr" role="tab" tabindex="-1">C++</button></div><div aria-labelledby="tab-6-Rm9ydHJhbg==" class="sphinx-tabs-panel code-tab group-tab" id="panel-6-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tabpanel" tabindex="0"><div class="highlight-fortran notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_create_system</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span><span class="w"> </span><span class="n">configfile</span><span class="p">)</span>
+</pre></div>
+</div>
+</div><div aria-labelledby="tab-6-Qysr" class="sphinx-tabs-panel code-tab group-tab" hidden="true" id="panel-6-Qysr" name="Qysr" role="tabpanel" tabindex="0"><div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_create_system</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span><span class="w"> </span><span class="n">configfile</span><span class="p">);</span>
+</pre></div>
+</div>
+</div></div>
+<p>where <code class="docutils literal notranslate"><span class="pre">system_name</span></code> is a name which used by TorchFort to identify the system created using  YAML configuration file <code class="docutils literal notranslate"><span class="pre">configfile</span></code>. See <a class="reference internal" href="api/config.html#torchfort-config-ref"><span class="std std-ref">TorchFort Configuration Files</span></a> for details on the YAML configuration file format and options.</p>
+</section>
+<section id="replay-buffer-management">
+<h3>Replay Buffer Management<a class="headerlink" href="#replay-buffer-management" title="Permalink to this heading">¶</a></h3>
+<p>The user application (usually called <em>environment</em> in the RL context) will generate states and rewards based on actions suggested by the policy function or some other mechanism. For off-policy methods, this information needs to be passed to the replay buffer from which the training process will sample. This is performed via:</p>
+<div class="sphinx-tabs docutils container">
+<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-7-Rm9ydHJhbg==" aria-selected="true" class="sphinx-tabs-tab code-tab group-tab" id="tab-7-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tab" tabindex="0">Fortran</button><button aria-controls="panel-7-Qysr" aria-selected="false" class="sphinx-tabs-tab code-tab group-tab" id="tab-7-Qysr" name="Qysr" role="tab" tabindex="-1">C++</button></div><div aria-labelledby="tab-7-Rm9ydHJhbg==" class="sphinx-tabs-panel code-tab group-tab" id="panel-7-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tabpanel" tabindex="0"><div class="highlight-fortran notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_update_replay_buffer</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span><span class="w"> </span><span class="n">state_old</span><span class="p">,</span><span class="w"> </span><span class="n">action</span><span class="p">,</span><span class="w"> </span><span class="n">state_new</span><span class="p">,</span><span class="w"> </span><span class="n">reward</span><span class="p">,</span><span class="w"> </span><span class="n">terminal</span><span class="p">,</span><span class="w"> </span><span class="n">stream</span><span class="p">)</span>
+</pre></div>
+</div>
+</div><div aria-labelledby="tab-7-Qysr" class="sphinx-tabs-panel code-tab group-tab" hidden="true" id="panel-7-Qysr" name="Qysr" role="tabpanel" tabindex="0"><div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_update_replay_buffer</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span>
+<span class="w">                                                     </span><span class="n">state_old</span><span class="p">,</span><span class="w"> </span><span class="n">state_new</span><span class="p">,</span><span class="w"> </span><span class="n">state_dim</span><span class="p">,</span><span class="w"> </span><span class="n">state_shape</span><span class="p">,</span>
+<span class="w">                                                     </span><span class="n">action</span><span class="p">,</span><span class="w"> </span><span class="n">action_dim</span><span class="p">,</span><span class="w"> </span><span class="n">action_shape</span><span class="p">,</span>
+<span class="w">                                                     </span><span class="n">reward</span><span class="p">,</span><span class="w"> </span><span class="n">terminal</span><span class="p">,</span><span class="w"> </span><span class="n">dtype</span><span class="p">,</span><span class="w"> </span><span class="n">stream</span><span class="p">);</span>
+</pre></div>
+</div>
+</div></div>
+<p><code class="docutils literal notranslate"><span class="pre">state_old</span></code> is an array describing the old environment state to which <code class="docutils literal notranslate"><span class="pre">action</span></code> is applied, resulting in a new environment state <code class="docutils literal notranslate"><span class="pre">state_new</span></code> and a corresponding scalar <code class="docutils literal notranslate"><span class="pre">reward</span></code>. The variable <code class="docutils literal notranslate"><span class="pre">terminal</span></code> is a flag which specifies whether the end of an episode is reached. In the Fortran API, the states and actions are multi-dimensional Fortran arrays with dimension/shape/datatype automatically inferred in the interface. In the C++ API, all arrays are <code class="docutils literal notranslate"><span class="pre">void</span></code> pointers and the state and action dimensions and shapes have to be passed explicitly.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>The update replay buffer functions expect a single tuple containing single samples and hence no batch dimension should be included.</p>
+</div>
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>It is important to mention that this function should be called in causal order on the state tuples, i.e., the data inserted into the replay buffer should contain subsequent steps of the environment. In case of n-step rollouts, the sampling logic assumes that the list of tuples are ordered causally and different trajectories are separated by a terminal flag set to true for the last step in trajectory. Any non-causal ordering would likely yield sub-optimal training performance.</p>
+</div>
+<p>Before training can start, the replay buffer needs to contain a minimum number of state-action tuples. The readiness can be queried with:</p>
+<div class="sphinx-tabs docutils container">
+<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-8-Rm9ydHJhbg==" aria-selected="true" class="sphinx-tabs-tab code-tab group-tab" id="tab-8-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tab" tabindex="0">Fortran</button><button aria-controls="panel-8-Qysr" aria-selected="false" class="sphinx-tabs-tab code-tab group-tab" id="tab-8-Qysr" name="Qysr" role="tab" tabindex="-1">C++</button></div><div aria-labelledby="tab-8-Rm9ydHJhbg==" class="sphinx-tabs-panel code-tab group-tab" id="panel-8-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tabpanel" tabindex="0"><div class="highlight-fortran notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_is_ready</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span><span class="w"> </span><span class="n">ready</span><span class="p">)</span>
+</pre></div>
+</div>
+</div><div aria-labelledby="tab-8-Qysr" class="sphinx-tabs-panel code-tab group-tab" hidden="true" id="panel-8-Qysr" name="Qysr" role="tabpanel" tabindex="0"><div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_is_ready</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span><span class="w"> </span><span class="n">ready</span><span class="p">);</span>
+</pre></div>
+</div>
+</div></div>
+</section>
+<section id="generating-action-predictions">
+<h3>Generating Action Predictions<a class="headerlink" href="#generating-action-predictions" title="Permalink to this heading">¶</a></h3>
+<p>TorchFort provides the following two functions to generate action predictions from the policy network infrastructure:</p>
+<div class="sphinx-tabs docutils container">
+<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-9-Rm9ydHJhbg==" aria-selected="true" class="sphinx-tabs-tab code-tab group-tab" id="tab-9-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tab" tabindex="0">Fortran</button><button aria-controls="panel-9-Qysr" aria-selected="false" class="sphinx-tabs-tab code-tab group-tab" id="tab-9-Qysr" name="Qysr" role="tab" tabindex="-1">C++</button></div><div aria-labelledby="tab-9-Rm9ydHJhbg==" class="sphinx-tabs-panel code-tab group-tab" id="panel-9-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tabpanel" tabindex="0"><div class="highlight-fortran notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_predict</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span><span class="w"> </span><span class="n">state</span><span class="p">,</span><span class="w"> </span><span class="n">action</span><span class="p">,</span><span class="w"> </span><span class="n">stream</span><span class="p">)</span>
+
+<span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_predict_explore</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span><span class="w"> </span><span class="n">state</span><span class="p">,</span><span class="w"> </span><span class="n">action</span><span class="p">,</span><span class="w"> </span><span class="n">stream</span><span class="p">)</span>
+</pre></div>
+</div>
+</div><div aria-labelledby="tab-9-Qysr" class="sphinx-tabs-panel code-tab group-tab" hidden="true" id="panel-9-Qysr" name="Qysr" role="tabpanel" tabindex="0"><div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_predict</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span>
+<span class="w">                                        </span><span class="n">state</span><span class="p">,</span><span class="w"> </span><span class="n">state_dim</span><span class="p">,</span><span class="w"> </span><span class="n">state_shape</span><span class="p">,</span>
+<span class="w">                                        </span><span class="n">action</span><span class="p">,</span><span class="w"> </span><span class="n">action_dim</span><span class="p">,</span><span class="w"> </span><span class="n">action_shape</span><span class="p">,</span>
+<span class="w">                                        </span><span class="n">dtype</span><span class="p">,</span><span class="w"> </span><span class="n">stream</span><span class="p">);</span>
+
+<span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_predict_explore</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span>
+<span class="w">                                                </span><span class="n">state</span><span class="p">,</span><span class="w"> </span><span class="n">state_dim</span><span class="p">,</span><span class="w"> </span><span class="n">state_shape</span><span class="p">,</span>
+<span class="w">                                                </span><span class="n">action</span><span class="p">,</span><span class="w"> </span><span class="n">action_dim</span><span class="p">,</span><span class="w"> </span><span class="n">action_shape</span><span class="p">,</span>
+<span class="w">                                                </span><span class="n">dtype</span><span class="p">,</span><span class="w"> </span><span class="n">stream</span><span class="p">);</span>
+</pre></div>
+</div>
+</div></div>
+<p>Both functions predict an <code class="docutils literal notranslate"><span class="pre">action</span></code> based on a <code class="docutils literal notranslate"><span class="pre">state</span></code>. The first variant generates a deterministic prediction from the target network (for algorithms which use target networks, i.e., a shadow network which gets updated less often than the active networks the regular weight updates are applied to). The second variant generates a prediction using the active network and also adds noise as specified in the configuration file.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>The prediction methods are inference methods and thus expect a batch of data. Therefore, the state and action arrays need to include a batch dimension.</p>
+</div>
+</section>
+<section id="training-step">
+<h3>Training Step<a class="headerlink" href="#training-step" title="Permalink to this heading">¶</a></h3>
+<p>Once the system is ready, a training step (forward, backward, optimizer step, learning rate decay) can be performed by calling:</p>
+<div class="sphinx-tabs docutils container">
+<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-10-Rm9ydHJhbg==" aria-selected="true" class="sphinx-tabs-tab code-tab group-tab" id="tab-10-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tab" tabindex="0">Fortran</button><button aria-controls="panel-10-Qysr" aria-selected="false" class="sphinx-tabs-tab code-tab group-tab" id="tab-10-Qysr" name="Qysr" role="tab" tabindex="-1">C++</button></div><div aria-labelledby="tab-10-Rm9ydHJhbg==" class="sphinx-tabs-panel code-tab group-tab" id="panel-10-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tabpanel" tabindex="0"><div class="highlight-fortran notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_train_step</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span><span class="w"> </span><span class="n">p_loss</span><span class="p">,</span><span class="w"> </span><span class="n">q_loss</span><span class="p">)</span>
+</pre></div>
+</div>
+</div><div aria-labelledby="tab-10-Qysr" class="sphinx-tabs-panel code-tab group-tab" hidden="true" id="panel-10-Qysr" name="Qysr" role="tabpanel" tabindex="0"><div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_train_step</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span><span class="w"> </span><span class="n">p_loss</span><span class="p">,</span><span class="w"> </span><span class="n">q_loss</span><span class="p">);</span>
+</pre></div>
+</div>
+</div></div>
+<p>This function will retrieve a single batch from the replay buffer and perform a training step, populating the variables <code class="docutils literal notranslate"><span class="pre">p_loss</span></code>, <code class="docutils literal notranslate"><span class="pre">q_loss</span></code> by reference.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>If the RL algorithm uses a policy lag bigger than zero, for some steps only the value function networks are updated. In this case, <code class="docutils literal notranslate"><span class="pre">p_loss</span></code> is not computed and will be equal to zero.</p>
+</div>
+</section>
+<section id="id1">
+<h3>Checkpoint/Restart<a class="headerlink" href="#id1" title="Permalink to this heading">¶</a></h3>
+<p>At any time during or after training, a checkpoint of the full system can be stored using:</p>
+<div class="sphinx-tabs docutils container">
+<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-11-Rm9ydHJhbg==" aria-selected="true" class="sphinx-tabs-tab code-tab group-tab" id="tab-11-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tab" tabindex="0">Fortran</button><button aria-controls="panel-11-Qysr" aria-selected="false" class="sphinx-tabs-tab code-tab group-tab" id="tab-11-Qysr" name="Qysr" role="tab" tabindex="-1">C++</button></div><div aria-labelledby="tab-11-Rm9ydHJhbg==" class="sphinx-tabs-panel code-tab group-tab" id="panel-11-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tabpanel" tabindex="0"><div class="highlight-fortran notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_save_checkpoint</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span><span class="w"> </span><span class="n">directory_name</span><span class="p">)</span>
+</pre></div>
+</div>
+</div><div aria-labelledby="tab-11-Qysr" class="sphinx-tabs-panel code-tab group-tab" hidden="true" id="panel-11-Qysr" name="Qysr" role="tabpanel" tabindex="0"><div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_save_checkpoint</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span><span class="w"> </span><span class="n">directory_name</span><span class="p">);</span>
+</pre></div>
+</div>
+</div></div>
+<p>This will save everything from the RL system with name <code class="docutils literal notranslate"><span class="pre">system_name</span></code> into the directory with name <code class="docutils literal notranslate"><span class="pre">directory_name</span></code>. This checkpoint includes all models, i.e. all value and policy functions, active and target, multiple critics, etc. It will also save all optimizer and learning rate scheduler states. Additionally, the function will also save the replay buffer data and additional information such as episode number. This is required for being able to restore the full state of the RL system via:</p>
+<div class="sphinx-tabs docutils container">
+<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-12-Rm9ydHJhbg==" aria-selected="true" class="sphinx-tabs-tab code-tab group-tab" id="tab-12-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tab" tabindex="0">Fortran</button><button aria-controls="panel-12-Qysr" aria-selected="false" class="sphinx-tabs-tab code-tab group-tab" id="tab-12-Qysr" name="Qysr" role="tab" tabindex="-1">C++</button></div><div aria-labelledby="tab-12-Rm9ydHJhbg==" class="sphinx-tabs-panel code-tab group-tab" id="panel-12-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tabpanel" tabindex="0"><div class="highlight-fortran notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_load_checkpoint</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span><span class="w"> </span><span class="n">directory_name</span><span class="p">)</span>
+</pre></div>
+</div>
+</div><div aria-labelledby="tab-12-Qysr" class="sphinx-tabs-panel code-tab group-tab" hidden="true" id="panel-12-Qysr" name="Qysr" role="tabpanel" tabindex="0"><div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_rl_off_policy_load_checkpoint</span><span class="p">(</span><span class="n">system_name</span><span class="p">,</span><span class="w"> </span><span class="n">directory_name</span><span class="p">)</span>
+</pre></div>
+</div>
+</div></div>
+<p>This function is only required if RL training from the checkpoint should be resumed. In an inference setting, where only the policy should be run, the method:</p>
+<div class="sphinx-tabs docutils container">
+<div aria-label="Tabbed content" class="closeable" role="tablist"><button aria-controls="panel-13-Rm9ydHJhbg==" aria-selected="true" class="sphinx-tabs-tab code-tab group-tab" id="tab-13-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tab" tabindex="0">Fortran</button><button aria-controls="panel-13-Qysr" aria-selected="false" class="sphinx-tabs-tab code-tab group-tab" id="tab-13-Qysr" name="Qysr" role="tab" tabindex="-1">C++</button></div><div aria-labelledby="tab-13-Rm9ydHJhbg==" class="sphinx-tabs-panel code-tab group-tab" id="panel-13-Rm9ydHJhbg==" name="Rm9ydHJhbg==" role="tabpanel" tabindex="0"><div class="highlight-fortran notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_load_model</span><span class="p">(</span><span class="n">model_name</span><span class="p">,</span><span class="w"> </span><span class="n">policy_model_file</span><span class="p">);</span>
+</pre></div>
+</div>
+</div><div aria-labelledby="tab-13-Qysr" class="sphinx-tabs-panel code-tab group-tab" hidden="true" id="panel-13-Qysr" name="Qysr" role="tabpanel" tabindex="0"><div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">istat</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torchfort_load_model</span><span class="p">(</span><span class="n">model_name</span><span class="p">,</span><span class="w"> </span><span class="n">policy_model_file</span><span class="p">);</span>
+</pre></div>
+</div>
+</div></div>
+<p>can be used instead. The model instance should be created beforehand using the methods described in the <a class="reference internal" href="#supervised-learning-ref"><span class="std std-ref">Supervised Learning</span></a> section.</p>
+</section>
+</section>
+</section>
+
+
+           </div>
+          </div>
+          <footer><div class="rst-footer-buttons" role="navigation" aria-label="Footer">
+        <a href="installation.html" class="btn btn-neutral float-left" title="Installation" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
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