Nempy

This update to Nempy:

- Adds the very fast frequency raise and lower market. These use the names lower_1s and raise_sec1 in the nempy inputs tables. Thanks mlee94 for pull request 20 which added this functionality.
- Removes some redundant reloading of input data. Thank yueXiao2 for PR 16
- Bumps urllib3 from 2.0.4 to 2.0.6 which resolves a security issue in urllib, see 21
- Fixes some typos in examples

Adds functionality for calculating constraint RHS values and implementing the Basslink switch run, see https://nempy.readthedocs.io/en/latest/historical.html#module-nempy.historical_inputs.rhs_calculator, and https://nempy.readthedocs.io/en/latest/examples.html#detailed-recreation-of-historical-dispatch-with-basslink-switch-run respectively.

Fixes errors in the implementation of fast start unit ramp rates and joint regulation and ramping constraints.

Fixes bug described in 14 Thanks dehorsley!

Fixes bug described in 13 Thanks dec-heim!

Corrects documentation as per pull request 12 Thanks yueXiao2!

Fix the bug that v1.1.4 was attempting to fix, with not being about to do over-constrained dispatch re-runs without both FCAS and generic constraints.

Additionally, fix a bug with the XMLCacheManager where downloads of XML files would randomly fail, have implemented functionality to re-attempt the download after waiting 100 seconds which appears to work well.

This update fixes a bug where the over-constrained dispatch rerun functionality would fail if both FCAS and generic constraints weren't used.

- Fix issue (6) with AEMO retiring table BIDDAYOFFER_D. Thanks MattAmos for identifying this. The was fix was done by instead sourcing the price bid data from the xml NEMDE input files published by AEMO. An example has been added to the docs to show Nempy working on data from Jan 2022: https://nempy.readthedocs.io/en/latest/examples.html#nempy-performance-on-recent-data-jan-2022

- Fix issue (7) in older data sets from AEMO there was an edge case where no semi scheduled units were providing FCAS and this was causing the input preparation functionality to break. Thanks andrewhn for raising this issue and suggesting a fix (which I've implemented in this release). An example has been added to the docs to show Nempy working on data from Jan 2015, tests haven't been run on any data earlier to this date. https://nempy.readthedocs.io/en/latest/examples.html#nempy-performance-on-older-data-jan-2015