Releases: baggepinnen/MonteCarloMeasurements.jl
Releases · baggepinnen/MonteCarloMeasurements.jl
v1.0.4
v1.0.3
MonteCarloMeasurements v1.0.3
Merged pull requests:
- Addition of ± and ∓ as unary operators (#116) (@florisvankempen)
v1.0.2
MonteCarloMeasurements v1.0.2
Closed issues:
- Base.length(x::Particles) = 1 for closer behavior to number (#115)
v1.0.1
v1.0.0
MonteCarloMeasurements v1.0.0
Breaking changes
- All functions that were defined on scalars and used to reduce particles to a scalar, e.g.,
mean, maximum,, std
now behave as ifParticles
are scalars, i.e.,mean(p::Particles) = p
. These function have been replaced by new functions with a prefixp
, e.g.,pmean
. - particles are no longer iterable other than as a scalar.
length(p)
now returns 1 instead of the number of particles.
Closed issues:
- mean([1±1, 2±1]) should give a scalar (#104)
- Type stable constructors for
Particles
(#112) - Surprising behavior of append!(..) (#113)
Merged pull requests:
- fix minor typo issues (#110) (@SimonTreillou)
v0.10.4
v0.10.3
MonteCarloMeasurements v0.10.3
Merged pull requests:
- CompatHelper: bump compat for "Distributions" to "0.25" (#109) (@github-actions[bot])
v0.10.2
MonteCarloMeasurements v0.10.2
Closed issues:
- Should float(x::Particles) be considered just returning x? (#107)
Merged pull requests:
- Make Rn2rn more competent (#102) (@baggepinnen)
- GPU branch on Julia 1.6 (#108) (@albheim)
v0.10.1
v0.10.0
MonteCarloMeasurements v0.10.0
This release is only breaking due to compatibility with older julia versions (< 1.5) being dropped. If you claim compat with julia 1.5+ only, it should be safe to claim compat with MonteCarloMeasurements v0.10.0.
Closed issues: