Parametric @torus

[pablosanjose]

The current torus(h, phases) function wraps some axes of an L-dimensional AbstractHamiltonians, adding fixed Bloch phases along the wrapped axes.

Here we introduce @torus(h, phases, ϕ), which adds a parameter ϕ (or whatever other name we provide as the third argument) to the result (which is thus a ParametricHamiltonian). This parameter can be used to adjust the Bloch phase. ϕ takes the form of a tuple or an AbstractVector of length equal to the number of wrapped axes.

We also generalize torus, so that we can do torus(h, wrapped_axes::SVector) (and similarly with @torus), so that the axes given by wrapped_axes are wrapped with phase zero. This is a convenience form that may be easier to use. For example we can replace torus(h, (:, 0, :)) with torus(h, SA[2]) to wrap along axis 2.

We have furthermore improved the detection algorithm for modifier collisions.

[codecov-commenter]

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Codecov Report

Attention: Patch coverage is 97.27273% with 3 lines in your changes missing coverage. Please review.

Project coverage is 92.48%. Comparing base (f64e499) to head (0ae35f4).
Report is 7 commits behind head on master.

Files with missing lines	Patch %	Lines
src/tools.jl	88.88%	2 Missing ⚠️
src/hamiltonian.jl	98.82%	1 Missing ⚠️

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Additional details and impacted files

@@            Coverage Diff             @@
##           master     #331      +/-   ##
==========================================
+ Coverage   92.43%   92.48%   +0.04%     
==========================================
  Files          41       41              
  Lines        7075     7133      +58     
==========================================
+ Hits         6540     6597      +57     
- Misses        535      536       +1     

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