* Fix to_bjdata() emitting unparsable output when _ArraySize_ is not an array
write_bjdata_ndarray() never checked that _ArraySize_ is an array. The shape
is written verbatim as the header length, so a null shape emitted 'Z' and an
object shape emitted '{' after the '#', neither of which from_bjdata()
accepts, and the round-trip guarantee in the BJData docs was broken.
Both slipped through the existing validation: for null, empty() is true so
the element count starts at 0 and the per-dimension loop never runs, and for
an object the loop walks its values, which can satisfy the non-negative
integer check. When _ArrayData_ then matched that count, the writer took the
ndarray path.
Require the shape to be an array, so anything else falls back to a plain
object encoding that round-trips, as the fallback rule in the docs already
specifies.
Signed-off-by: qatcod <79017227+qatcod@users.noreply.github.com>
* Document that _ArraySize_ must be an array in the ndarray requirements
The list at bjdata.md is the exhaustive set of conditions for the ndarray
encoding, but it only implied this one through 'every entry of'.
Signed-off-by: qatcod <79017227+qatcod@users.noreply.github.com>
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Signed-off-by: qatcod <79017227+qatcod@users.noreply.github.com>
* Do not write BJData ndarrays whose size overflows std::size_t
write_bjdata_ndarray() multiplied the _ArraySize_ dimensions into a
std::size_t without checking for overflow. A product that wraps around
to a value that happens to match the size of _ArrayData_ passed the
length check, and the writer emitted an ndarray header announcing an
element count that cannot be represented:
{"_ArrayType_":"uint8","_ArraySize_":[9223372036854775808,2],"_ArrayData_":[]}
was encoded as 5b 24 55 23 5b 4d 00 00 00 00 00 00 00 80 69 02 5d, an
ndarray of 2^64 elements followed by no data. Reading that back throws
out_of_range.408 ("excessive ndarray size caused overflow"), so to_bjdata
produced output that from_bjdata rejects. This is reachable by parsing
untrusted JSON and re-encoding it as BJData.
Mirror the overflow check the binary reader already performs, and also
reject a single dimension that does not fit into std::size_t, which the
previous cast silently truncated where std::size_t is narrower than 64
bits. Such objects now fall back to a plain object encoding, which is
what the surrounding type and length validation already does for
annotations it cannot represent, and they round-trip unchanged.
Signed-off-by: Niels Lohmann <mail@nlohmann.me>
* Document when to_bjdata converts a JData annotation to an ND-array
The BJData page described the 1-D vector case as the only situation in
which an object carrying _ArrayType_/_ArraySize_/_ArrayData_ is not
written as a compact ND-array. The writer has always had several other
fallbacks -- an unknown _ArrayType_, a dimension that is not a
non-negative integer, an _ArrayData_ whose length does not match the
product of the dimensions, and elements that are not numbers of the
annotated kind -- all of which cause the value to be serialized as a
regular JSON object instead.
Spell out the conditions, including the size-overflow check added in the
preceding commit, so the documented behavior matches the implementation.
Signed-off-by: Niels Lohmann <mail@nlohmann.me>
---------
Signed-off-by: Niels Lohmann <mail@nlohmann.me>
Qatadaha Bin Matloob
Niels Lohmann
co63oc
Nebojša Cvetković
