Add support for LEGEND expressions

[oschulz]

This add the concept of LEGEND expressions (formulas), which can be parsed from strings (both Julia- and Python/pygama-style).

We can now do things like

pf = ljl_propfunc("(0.5 + 0.13 * e_trap)")
pf.(data)

resulting in something like

...-element Vector{Float64}:
 134.3524690857239
 118.99052096163082
 144.11368517898455
...

But we can also add whole expression maps to config files:

json_string = """
{
    "e_cal": "(0.5 + 0.13 * e_trap)",
    "aoe" : "a / e_trap",
    "tail_good": "tailsigma < 12.2"
}
"""
props = convert(PropDict, json_string)

pf = ljl_propfunc(props)
pf.(data)

resulting in a StructArray (pf.(data) takes less than one millisecond for half a million rows of data):

...-element StructArray...:
 (aoe = 0.10155900911495913, e_cal = 134.3524690857239, tail_good = 0)
 (aoe = 0.10444221169888818, e_cal = 118.99052096163082, tail_good = 1)
 (aoe = 0.0958819009273352, e_cal = 144.11368517898455, tail_good = 0)
...

These broadcasts are type-stable.

[codecov]

Codecov Report

Attention: 7 lines in your changes are missing coverage. Please review.

Comparison is base (63d02ca) 58.00% compared to head (870b363) 60.97%.
Report is 1 commits behind head on main.

Files	Patch %	Lines
src/ljl_expressions.jl	89.74%	4 Missing ⚠️
src/lpy_expressions.jl	88.88%	3 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main      #16      +/-   ##
==========================================
+ Coverage   58.00%   60.97%   +2.97%     
==========================================
  Files          10       12       +2     
  Lines         631      697      +66     
==========================================
+ Hits          366      425      +59     
- Misses        265      272       +7     

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[oschulz]

CC @theHenks