Commit ⋅ chakravala/Reduce.jl

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src/Reduce.jl changed.

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@@ -106,16 +106,17 @@

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module Algebra
using Reduce, LinearAlgebra
import AbstractTensors
import AbstractTensors: conj, inv, PROD, SUM, -, /, √
import AbstractTensors: conj, inv, dot, PROD, SUM, -, /, √
import AbstractTensors: sqrt, abs, exp, expm1, log, log1p, sin, cos, sinh, cosh, ^
const *,+ = PROD,SUM


export expm1, log1p, √
for T ∈ (RExpr,Expr,Symbol,String)
    @eval begin
        Base.expm1(z::$T) = exp(z)-1
        Base.log1p(z::$T) = 1+log(z)
        dot(a::$T,b) = conj(a)*b
        dot(a,b::$T) = conj(a)*b
    end
end


Files		•	•	•	Coverage
src	1,095	884	0	211	80.73%
Project Totals (7 files)	1,095	884	0	211	80.73%

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106	106		module Algebra
107	107		using Reduce, LinearAlgebra
108	108		import AbstractTensors
109		-	import AbstractTensors: conj, inv, PROD, SUM, -, /, √
	109	+	import AbstractTensors: conj, inv, dot, PROD, SUM, -, /, √
110	110		import AbstractTensors: sqrt, abs, exp, expm1, log, log1p, sin, cos, sinh, cosh, ^
111	111		const *,+ = PROD,SUM
112	112
113		-
114	113		export expm1, log1p, √
115	114		for T ∈ (RExpr,Expr,Symbol,String)
116	115		@eval begin
117	116		Base.expm1(z::$T) = exp(z)-1
118	117		Base.log1p(z::$T) = 1+log(z)
	118	+	dot(a::$T,b) = conj(a)*b
	119	+	dot(a,b::$T) = conj(a)*b
119	120		end
120	121		end
121	122