b64 is a dependency, very fast, lightweight, and vectorized base64 encoder and decoder.
Example
Encode to base64 using encode()
.
Decode using decode()
. Note that the returned object will always have the "blob"
class. To achieve 0 dependencies, the blob
package is only listed as a suggested dependency but if you attach it, its print method will be used.
We can convert the decoded base64 to characters and see how it worked.
rawToChar(decoded[[1]])
#> [1] "Hello, from extendr"
Vectorized
Both encode()
and decode()
are vectorized.
lorem <- unlist(lorem::ipsum(5, 1, 5))
lorem
#> [1] "Consectetur in sapien interdum diam lobortis eros?"
#> [2] "Lorem sed ligula fames?"
#> [3] "Adipiscing suscipit magna sapien varius."
#> [4] "Elit tellus taciti turpis hendrerit sagittis."
#> [5] "Sit suspendisse ultrices augue class parturient ultricies venenatis."
encoded <- encode(lorem)
encoded
#> [1] "Q29uc2VjdGV0dXIgaW4gc2FwaWVuIGludGVyZHVtIGRpYW0gbG9ib3J0aXMgZXJvcz8="
#> [2] "TG9yZW0gc2VkIGxpZ3VsYSBmYW1lcz8="
#> [3] "QWRpcGlzY2luZyBzdXNjaXBpdCBtYWduYSBzYXBpZW4gdmFyaXVzLg=="
#> [4] "RWxpdCB0ZWxsdXMgdGFjaXRpIHR1cnBpcyBoZW5kcmVyaXQgc2FnaXR0aXMu"
#> [5] "U2l0IHN1c3BlbmRpc3NlIHVsdHJpY2VzIGF1Z3VlIGNsYXNzIHBhcnR1cmllbnQgdWx0cmljaWVzIHZlbmVuYXRpcy4="
We can decode all of these using decode()
as well.
decode(encoded)
#> <blob[5]>
#> [1] blob[50 B] blob[23 B] blob[40 B] blob[45 B] blob[68 B]
Encoding and decoding files
b64
shines when encoding and decoding files. encode_file()
and decode_file()
both work by reading a file as a stream making it far faster than the alternative.
tmp <- tempfile()
fp <- "https://github.com/extendr/b64/blob/main/src/rust/vendor.tar.xz"
download.file(fp, tmp)
bench::mark(
b64 = encode_file(tmp),
base64enc = base64enc::base64encode(tmp)
)
#> # A tibble: 2 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 b64 334µs 340µs 2810. 218KB 0
#> 2 base64enc 905µs 938µs 1043. 729KB 4.22
While the encoding is very impressive, better yet is the decoding performance.
# create a temp file
tmp2 <- tempfile()
# encode it and write to tmep file
encode_file(tmp) |>
charToRaw() |>
writeBin(tmp2)
bench::mark(
b64 = decode_file(tmp2),
base64enc = base64enc::base64decode(file(tmp2))
)
#> # A tibble: 2 × 6
#> expression min median `itr/sec` mem_alloc `gc/sec`
#> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl>
#> 1 b64 107.09µs 122.6µs 7414. 164KB 8.77
#> 2 base64enc 1.58ms 1.6ms 602. 172KB 3.70
Alternative engines
Out of the box, b64
provides a number of pre-configured engines that can be used. The function engine()
allows you to choose one of these different engines For example, engine("url_safe")
provides a standard engine that uses a url-safe alphabet with padding.
url_engine <- engine("url_safe")
url_safe_encoded <- encode("\xfa\xec U", url_engine)
url_safe_encoded
#> [1] "-uwgVQ=="
If we try to decode this using the standard engine, we will encounter an error.
decode(url_safe_encoded)
#> Error in decode_(what, eng): Invalid byte 45, offset 0.
We can use our new engine to decode it.
decode(url_safe_encoded, url_engine)
#> <blob[1]>
#> [1] blob[4 B]
Custom Engines
We can create custom engines with new_engine()
. This allows us to provide our on alphabet and configuration.
We can use one of the many predefined alphabets or create one our selves with new_alphabet()
. We can also specify our engine config using new_config()
which lets us choose whether or not to pad and how to handle decoding.
my_eng <- new_engine(
alphabet("crypt"),
new_config(TRUE, TRUE, "none")
)
This engine can be used to encode or decode text.
txt <- "lorem ipsum sit dolor amet"
encode(txt, my_eng)
#> [1] "P4xmNKoUOL/nRKoUQqZo64FjP4xm643hNLE="
Compare this to the standard encoder:
encode(txt)
#> [1] "bG9yZW0gaXBzdW0gc2l0IGRvbG9yIGFtZXQ="