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History of Measurements.jl

v1.0.2 (2018-09-26)

Bug Fixes

  • Fix converion of a Measurement object to an Int. This fixes also power of complex measurements.
  • Ensure that Measurement{T}(x) returns a Measurement{T} (#24). Until Julia 0.6 this was done automatically, now we have to test this explicitly.

v1.0.1 (2018-09-07)

Bug Fixes

v1.0.0 (2018-08-16)

Breaking Changes

v0.5.1 (2018-07-11)

New Features

  • You can easily plot vectors of Measurement objects using the Plots.jl package. The uncertainties of the numbers will automatically be used as sizes of the errorbars.
  • @uncertain macro automatically converts all arguments of the function call to Measurement type, so that the user does not have to manually cast them.
  • New method for measurement(x::Measurement) returning x.
  • New methods for Measurements.value(x::Real) returning x and Measurements.uncertainty(x::Real) returning zero(x).
  • The package now supports pretty printing in Juno (#12, #13)
  • The tag used internally to identify an independent quantity is now a (thread-safe) counter, rather than a (thread-unsafe) random number (#15, #16).
  • New show method for text/latex MIME, used in Jupyter notebooks.

v0.5.0 (2017-07-08)

Breaking Changes

  • isinteger and iszero now check also that the uncertainty is zero.
  • Comparison between Measurement and Real with == now compares also the uncertainty, so that the Measurement must have uncertainty equal to zero to be equal to a real number.
  • Comparison between Measurement and Irrational with == now gives always false, consistently with the rest of Real types.

New Features

  • New mathematical operations supported: sinpi, cospi, sinc, cosc, asec, acsc, acot, asech, acsch, acoth, sincos (the last one only on Julia 0.7).
  • It is now possible to parse a string as a Measurement{T} with any T<:AbstractFloat (not only Measurement{Float64}), as long as the parsing method is able to digest the string. Tested with T equal to Float16, Float32, Float64, and BigFloat.

v0.4.0 (2017-04-26)

Breaking Changes

  • Support for Julia 0.4 and 0.5 was dropped.
  • value and uncertainty functions are no more exported.
  • Measurements.gradient function has been removed. Use the vectorized function Measurements.derivative.(x, array) instead.

Improvements

  • There were several performance improvements, both in speed and memory usage. These improvements are more evident for simple operations like addition and subtraction (now these operations are 2-3 times faster than in v0.3.0). In addition, the overhead of operations with arrays of Measurements and complex Measurements was greatly reduced by avoiding useless conversions (now summing an array is 100 times faster than in v0.3.0).

New Features

  • quadgk function from QuadGK.jl package is extended to support Measurement objects as endpoints of integration (#8). Note that only the case of two real endpoints is supported.
  • Real Measurement objects can be printed with "text/x-tex" and "text/x-latex" MIME types. \pm TeX macro is used to render the ± sign.
  • A new parse method is provided, to parse a string to Measurement{Float64}. This is the same as calling measurement with a string argument.

v0.3.0 (2016-12-07)

New Features

  • New function Measurements.uncertainty_components to compute the components of the total uncertainty of a derived quantity.

Breaking Changes

  • When both arguments of stdscore are Measurement, the standard score between their difference and zero is now computed, in order to test their consistency. This is most probably what users will expect. As a consequence of this change, the returned value is never a Measurement.

v0.2.2 (2016-10-17)

New Features

  • New method for measurement: you can parse a string in order to create a Measurement object.
  • It is now possible to perform calculations involving numbers that have NaN as nominal value and/or uncertainty. In previous versions it was possible only to define such numbers, but not to perform calculations with them.
  • Performance of sum and prod with arrays of Measurements has been slightly improved. Now they are quadratic in the number of input arguments, instead of cubic.
  • Improve printing of complex measurements. Now each part, real and imaginary, is wrapped in parentheses in order to make it easier to distinguish them.

v0.2.1 (2016-09-11)

New Features

  • New mathematical operations supported: log2, abs2, fma, muladd, besseli, besselix, besselk, besselkx, widen, big.

v0.2.0 (2016-07-13)

Breaking Changes

  • The constructor of Measurement objects that you should directly use has been renamed to measurement. What you have to do in your programs is to replace all occurrences of the uppercase version with the lowercase one. Measurement constructor is still exported, but you should never use it (unless you know how it works). ± is now an alias of measurement, so you do not need change anything if you used this sign in place of the Measurement function.

New Features

  • measurement function is made vectorial, so you can create an array of Measurement objects by feeding it with the array of nominal values and uncertainties.
  • New functions value and uncertainty to access the nominal value and the uncertainty of measurements.

v0.1.2 (2016-07-09)

Bug Fixes

  • Fix derivatives of div, fld, cld.
  • Fix frexp with arguments whose absolute value is less than 0.5.

v0.1.1 (2016-06-23)

New Features

  • @uncertain macro works with functions with any number of arguments.
  • New mathematical operations supported: erfi, dawson, digamma, invdigamma, trigamma, polygamma, beta, lbeta, airy, airyai, airyprime, airyaiprime, airybi, airybiprime.
  • The complete documentation of the package is available at http://measurementsjl.readthedocs.io

v0.1.0 (2016-06-18)

New Features

  • Support for correlated variables has been added (#3).
  • Full support for complex measurements.
  • Macro @uncertain enables propagation of uncertainty in any real function of one or two real arguments, including those functions making use of C/Fortran calls (#4).
  • New functions Measurements.derivative and Measurements.gradient to get the derivative and the gradient of an expression with respect to one or more independent measurements.
  • Precompilation enabled.
  • New method supported: typemax.

v0.0.2 (2016-06-13)

New Features

  • Measurement is now subtype of AbstractFloat (#1), but you can feed the constructor with any subtype of Real that can be converted to an AbstractFloat.
  • New weightedmean function for calculating the weighted mean of measurements using inverse-variance weighting.
  • New mathematical operations supported: modf, exp10, isnan, isfinite, isinf, isinteger, copysign, frexp, ldexp, div, cld, fld, mod, rem, mod2pi, eps, flipsign, erfinv, erfcinv, erfcx.

Breaking Changes

  • Function Constant has been removed as it was mostly redundant and badly capitalized (#2).
  • In order to define complex Measurements you have to use complex(Measurement(a, b), Measurement(c, d)) so real and imaginary parts of the number have each their uncertainty.

Bug Fixes

  • Fix multiplication by and division of 0. Previously, those operations would return NaN as uncertainty, now they give 0.

v0.0.1 (2016-05-20)

Initial release.

New Features

  • Measurement type is a parametric type, subtype of Number.
  • You can define Measurement objects with Measurement(a, b), being a the value of the measurement, and b its uncertainty as standard deviation. You can also employ the shorter syntax a ± b.
  • The function stdscore to calculate the standard score is available.
  • Mathematical operation supported: +, -, *, /, inv, ^, exp2, cos, sin, deg2rad, rad2deg, cosd, sind, cosh, sinh, tan, tand, tanh, acos, acosd, acosh, asin, asind, asinh, atan, atan2, atand, atanh, csc, cscd, csch, sec, secd, sech, cot, cotd, coth, exp, expm1, log, log10, log1p, hypot, sqrt, cbrt, abs, sign, zero, one, erf, erfc, factorial, gamma, lgamma, signbit.