* Modify `cell kind` concept docs.
* Add `cell description` concept docs.
* Reorder the docs so that the recipe, cell kind and description, interconnectivity, hardware management, domain decomposition, and simulation are consecutive. Then start the more detailed cable cell docs. 

`pow(double x, int y)` is implemented as of ROCm-3.9 (May have been fixed earlier, don't have access to earlier versions)

Change from long double to double for storing floating point values in modcc.

WSL, and Windows generally, treats long double differently than Linux, which leads to inconsistencies in literal numeric values in code generated by modcc on the two platforms.

Fixes #1245

* Add a readme for the C++ examples
* Improved readme for dryrun

Fixes #868, #1107.

Major changes in Python library and documentation:

* Add global state (immutable after initialization) for the Python module that
  manages the mapping between probe metadata types and the method by which the
  corresponding [sample data can be collected and presented as Python objects.
  This is necessary for decoupling the implementation of the simulation wrapper
  from that of the various cable cell probe types.

* Wrap each of the C++ cable cell probe types with a Python function that
  returns a `probe_info` object.

* Add code for converting and accumulating C++ probe metadata and sample
  data, registered in the module global state against the metadata type info.

* Make the `arbor.simulator` object responsible for recording all spike and
  sample data, with corresponding new methods.

* Use NumPy arrays and structured datatypes for returning spike and
  sample data.

* Place Python schedule proxies under an abstract interface so tha...

* Return `arb::morphology` from `load_swc_xxx` methods for consistency with the NeuroML interface. 
* Fix unit tests.
* Fix documentation

Added a CONTRIBUTION.md page for the project.

Contains a link to the wiki with more detailed description of the contribution workflow.

Fixes #1230

Fixes #1236

Fix Python linking errors on some platforms.

This appears to be related to the GCC visibility of methods overridden in header files, and is fixed by moving the implementation to the corresponding cpp files. 

Addresses the Travis CI failure of #1225

* Add an example describing the content of a recipe in the recipe concepts page in the docs.
* Mention that recipes are necessary, but can be abstracted away using the python `single_cell_model` (Hasn't been documented yet).

Speed up plotting in seaborn.relplot by disabling calculation of confidence intervals

Update the documentation to mention additional packages used in some python examples.

Addresses some of the warnings from static analysis tools in #1084 

* fix some instances where exceptions were constructed, but not thrown
* fix use-after-move in a unit test.

* Adapt to moved readthedocs account

* Various DOC changes/updates, most importantly to:
* Single Cell Model
* Recipe

* Put generated mechanisms for each built-in catalogue in their own namespace.

* Remove blank line from `ball_and_stick.swc` 
* Mention that blank lines in SWC files indicate end of data.
* Check for trailing data after parsing in the python interface.
* Leave stream in good state if `parse_swc` encounters an empty line indicating end of data.

* Rename `as_segment_tree` to `load_swc_arbor`.
* Remove `swc_mode`: `sort_and_validate_swc` now performs the `relaxed` checks by default, `load_swc_arbor` performs the `strict` checks. 
* Change `load_swc_xxx` to only accept `swc_data` as an argument
* Remove default constructor for `swc_data` and enforce validation of SWC records via `sort_and_validate_swc` at construction.
* Add fixes for docs and unit tests.

* Add interface for querying names.

* Add derived mechanisms to list, clean-up.

* Add unit tests.

* Add python bindings and docs.

* Swap arguments in target count check in `fvm_lowered_cell_impl.hpp`.
* Update unit test to suit.

Memory access optimization for the fine matrix GPU solver.

Optimise the hh NMODL implementation to reduce unnecessary loads/stores and memory overheads.

Add a catalogue of mechanisms used by the BBP models.

* Add some log messages in python examples
* Add python examples to CI

* Fix some broken links and typos.
* Fix out-of-date documentation.
* Reword some of the existing sections.

Remove Python API ref page, Spack Install, fix some links

Remove imported dependencies in the documentation generation.