R Under development (unstable) (2023-11-26 r85638 ucrt) -- "Unsuffered Consequences"
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> #!/usr/bin/Rscript
> 
> library(RcppCNPy)
> 
> set.seed(42)
> M1 <- matrix(rnorm(1e6), 1e3, 1e3)
> 
> ## double precision floating point, uncompressed
> tempmatfile <- tempfile(pattern="npymat", fileext=".npy")
> npySave(tempmatfile, M1)
> M2 <- npyLoad(tempmatfile)
> identical(M1, M2)
[1] TRUE
> 
> ## double precision floating point, compressed
> tempmatfile <- tempfile(pattern="npymat", fileext=".npy.gz")
> npySave(tempmatfile, M1)
> M3 <- npyLoad(tempmatfile)
> identical(M1, M3)
[1] TRUE
> 
> ## double precision floating point vector
> dim(M1) <- NULL
> tempmatfile <- tempfile(pattern="npyvec", fileext=".npy")
> npySave(tempmatfile, M1)
Saving Numeric Vector
> M2 <- npyLoad(tempmatfile)
> identical(M1, M2)
[1] TRUE
> 
> ## double precision floating point vector, compressed
> tempmatfile <- tempfile(pattern="npyvec", fileext=".npy.gz")
> npySave(tempmatfile, M1)
Saving Numeric Vector
> M3 <- npyLoad(tempmatfile)
> identical(M1, M3)
[1] TRUE
> 
> ## integer, uncompressed
> M4 <- matrix(as.integer(round(M1)), 1e3, 1e3)
> tempmatfile <- tempfile(pattern="intnpymat", fileext=".npy")
> npySave(tempmatfile, M4)
> M5 <- npyLoad(tempmatfile, "integer")
> identical(M4, M5)
[1] TRUE
> 
> ## integer, compressed
> tempmatfile <- tempfile(pattern="intnpymat", fileext=".npy.gz")
> npySave(tempmatfile, M4)
> M6 <- npyLoad(tempmatfile, "integer")
> identical(M4, M6)
[1] TRUE
> 
> ## integer vector, uncompressed
> dim(M4) <- NULL
> tempmatfile <- tempfile(pattern="intnpyvec", fileext=".npy")
> npySave(tempmatfile, M4)
> M5 <- npyLoad(tempmatfile, "integer")
> identical(M4, M5)
[1] TRUE
> 
> ## integer vector, compressed
> tempmatfile <- tempfile(pattern="intnpyvec", fileext=".npy.gz")
> npySave(tempmatfile, M4)
> M6 <- npyLoad(tempmatfile, "integer")
> identical(M4, M6)
[1] TRUE
> 
> proc.time()
   user  system elapsed 
   1.96    0.37    2.34