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new type traits
by Gero Peterhoff 03 Oct '20

03 Oct '20

Hello Developers, I would like to retrofit some type-traits in boost, but I have read https://pdimov.github.io/articles/phasing_out_cxx03.html. Now I don't know how to do it best, as the boost-type-traits may be removed. Would the following procedure make sense? We get the std-traits and concepts in a namespace boost::meta, eg file boost/type_traits/meta.hpp: #ifndef BOOST_META_HPP #define BOOST_META_HPP #include <type_traits> #if defined(__cpp_concepts) #include <concepts> #endif namespace boost::meta { template <typename Type> using is_integral = std::is_integral<Type>; template <typename Type> inline constexpr bool is_integral_v = std::is_integral_v<Type>; template <typename Type> using is_pointer = std::is_pointer<Type>; template <typename Type> inline constexpr bool is_pointer_v = std::is_pointer_v<Type>; ... all other #if defined(__cpp_concepts) template <typename Type> concept integral = std::integral<Type>; template <typename Type> concept pointer = is_pointer_v<Type>; ... #endif } // boost::meta #endif // BOOST_META_HPP Then you could possibly map this in boost/type_traits.hpp to boost:: (if that makes sense): #ifndef BOOST_TYPE_TRAITS_HPP #define BOOST_TYPE_TRAITS_HPP #include <boost/type_traits/meta.hpp> remove boost implementations namespace boost { using namespace boost::meta; } // boost #endif // BOOST_TYPE_TRAITS_HPP In this way, new traits can be added in boost/type_traits/meta.hpp that are based on the std-traits, e.g. is_logic namespace boost::meta { template <typename Type> struct is_logic : std::false_type{}; template <typename Type> inline constexpr bool is_logic_v = is_logic<Type>::value; template <> struct is_logic<bool> : std::true_type{}; #if defined(__cpp_concepts) template <typename Type> concept logic = is_logic_v<Type>; #endif } // boost::meta and in this case add in boost/logic/tribool.hpp namespace boost::meta { template <> struct is_logic<boost::tribool> : std::true_type{}; } // boost::meta Or do you have a better idea? regards Gero

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[FPR] Some feedback
by Andrzej Krzemienski 03 Oct '20

03 Oct '20

Hi Everyone, Not sure if I will be able to provide a decent review, so I wanted to at least share some thoughts. 1. Do not use "reflection" in the library name. "Reflection" means "any information I could ever need about any part of the program". In particular, people might expect that you will be able to give the class member names; you cannot, and they will call it a bug in the library, because it implied that it would be able to do this, as this is what you expect from reflection. What this library does is to give a tuple-like access to class members (plus a number of things atop of this). Maybe it should be called Tuple-like Element Access (TEA)? 2. The library can only provide tuple-like access to classes that meet certain criteria, but these criteria are not obvious. Calling it an aggregate-initializable struct is not good enough: ``` struct B {}; struct D : B { int i, j; }; ``` Struct D is an aggregate (in C++20) and can be aggregate-initialized with three elements, but will not work with the library. I suggest you list requirements and give them a name. Bjarne Stroustrup called something similar a "flat": https://www.youtube.com/watch?v=ERzENfQ51Ck&feature=youtu.be&t=376 but I am not sure if this is the right one. Maybe "simple aggregate". This would help users prepare for what to expect. I do not know if this can be statically tested (like if a class has any base) but this does not matter as long as the requirements are listed in the docs. This concept is core to the library. 3. Does this library bring any value for arrays? It works for arrays, but arrays already provide index-based element access. 4. Thank you for writing and sharing this library. I really like it. Regards, &rzej;

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[review][pfr] PFR review
by Hadriel Kaplan 02 Oct '20

02 Oct '20

Howdy, I vote to ACCEPT PFR into boost. It provides a form of reflection in a simpler manner than other solutions thus far, and for the types it can handle it’s really slick. My only minor complaint is with streaming, as discussed below. I’d also like to thank the author for responding to issues quickly on GitHub, and for bringing it to boost! - What is your evaluation of the design? Good.(?) I'm not sure how to differentiate this question from the implementation question, for this type of library. - What is your evaluation of the implementation? I didn’t study the internals, but rather used it as a user of the library. It has some behaviors I don’t personally like, but fundamentally it does what it says as far as I can tell. My only complaint is that unsigned char and signed char (and thus uint8_t and int8_t) are streamed as their char values, and thus as their unadorned ASCII characters. Since they can be non-printable values, I consider this behavior undesirable. Even as printable characters it is confusing to see - especially if the value happens to be a numeric character or a space or linefeed or whatever. The author pointed out I can choose to _not_ use the provided streaming operator, but instead roll my own streaming operator - and I did so. But I still think it’s not what the implementation should do out-of-the-box as a Boost library. Lots of aggregate types use uint8_t/int8_t for fields, I think. For example network protocol headers, data-driven-design structures to minimize cache line usage, bit fields, etc. Many (most?) people would have to write their own streaming operator due to this issue. Also, I’m a bit concerned with forward-compatibility. The definition of what constitutes an aggregate type is changing slightly in C++20, and becoming stricter I believe; so I’m worried users might find they can’t upgrade to C++20 while still using PFR for some types. But I don’t have a C++20 compiler easily available to me, so I can’t prove this to be an issue or not. (perhaps it’s not an issue at all) - What is your evaluation of the documentation? Good. It explains what needs to be explained, in a brief but reasonable manner. I didn’t study it that closely, however. - What is your evaluation of the potential usefulness of the library? In some ways this is a tough question to answer - in others it’s easy. It’s easy because - for the aggregate types it can support - it is far simpler than any other solution I know of, and thus very useful. But it’s also difficult to answer because at least for the code base in my day job, and everywhere I have worked previously, very few class/struct types would be usable with it in practice. It is not the case that it supports every aggregate type - it cannot (currently) support ones with empty base classes, including CRTP-based empty bases. We happen to use CRTP frequently in my code base; for example boost::operators. And we have a lot of data structures that are _almost_ aggregates, except they end up having either one or more private members, or user-provided constructors, or unions, or whatever. Even types in our data-driven-design code areas, ended up not being true aggregates over time. But this is not something PFR can fix or address, as far as I’m aware, nor a reason to reject it - I’m merely pointing it out as something that reduces the applicability of such an approach. (Ironically PFR is making me consider changing some of them to be true aggregates, just so that we could use PFR - so I guess in that way it’s good? :) I presume, however, that there are plenty of code bases that have lots of true aggregates, and without empty bases - and for them it would be _extremely_ useful I would think. - Did you try to use the library? Yes. I did NOT try every possible operation that PFR makes available - I mostly only did streaming/printing, iteration, and member access by index. - With which compiler(s)? Gcc 7.3, C++17 mode. - Did you have any problems? My biggest problem was finding a C++ type in my code base that PFR could support. :) There was also the printing/streaming issue described earlier. - How much effort did you put into your evaluation? A glance? A quick reading? In-depth study? Just a few hours of using it. - Are you knowledgeable about the problem domain? No, not really. I have never tried implementing “reflection" without using macros that required the user to identify the type’s name and all of its members. (If one can call that “reflection”) As far as I’m concerned, PFR is black magic and if this were the 17th century I would report the author to church officials. -hadriel

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[PFR] The user's perspective
by Andrzej Krzemienski 02 Oct '20

02 Oct '20

Hi Everyone, I am now trying to study the PFR library, and wanted to share some thoughts and see what others think. First, thanks Antony for writing and sharing this library. I have watched your video on it, read the docs, and I find it amazing that you were able to implement such reflection in C++. This is in the spirit of the good old Boost libraries that just implemented magic. Now, to the critique. From looking at the docs and the videos, I inferred (perhaps incorrectly) that the library was created in this order: "We can do type introspection for aggregates, so let's see to what extent we can provide an interface of a reflection library." The extent is quite amazing (e.g., I really appreciate having pfr::less<> out of the box), but to the end user, I think, the library will still appear as incomplete. That is, when my type is an aggregate it will work, but when I need to add a convenience constructor it will immediately break, and I will have to switch to another library, like Peter's Describe ( https://github.com/pdimov/describe/tree/master) With Describe, I will have to type more, but I have a guarantee of a uniform experience both for aggregates and for other types. And given that I have to use Describe at some point there may be no point in also keeping PFR and forcing on myself and my colleagues two different interfaces. Describe is not a perfect solution either, because for aggregates I have to declare the mapping, which is unnecessary as PFR has demonstrated. My ideal solution would be if these two libraries (PFR and Describe) would be merged into one, so that: 1. They provide the same interface 2. A user can easily instruct the library: "this is an aggregate: figure out the mapping yourself". I am sorry if it sounds arrogant: people are devoting their private time to write and share a cool library, and all they hear back is "do more." But I thought it would also be unfair not to give this feedback. I am also not sure if the goals of the two libraries are compatible (e.g., Describe is also interested in giving names of the members) . I would be curious to see what the authors think about it. Regards, &rzej;

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Cache Size
by Matt Borland 01 Oct '20

01 Oct '20

A recurring discussion in Boost.Math has been needing a cross-platform way to query the L1D cache size of a machine. I have most of a solution in a [personal repo](https://github.com/mborland/cache). It did not make sense to us to have this in Boost.Math because it would be useful outside of that scope, but we did not know where it should go. Is there an existing library where this would fit? If necessary I can roll it into a library submission that exposes the functionality of CPUID. Matt

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[review][json] My review
by Gavin Lambert 30 Sep '20

30 Sep '20

- Do you think the library should be accepted as a Boost library? Yes, my vote is to ACCEPT this library. - What is your evaluation of the design? Much has been debated recently on the merits of push parsers vs. pull parsers. Boost.JSON provides both a push parser (SAX-like interface) and a DOM parser (which is somewhat pull-like but I don't think is technically either kind). It does not provide a "real" pull parser, which are sometimes more efficient for deserialisation into custom types; the SAX parser can somewhat do that but is not composable, which makes it harder to use in practice, unless I'm missing something (this is usually why I end up never using SAX parsers). If so, I'd like to see a more complete example where the handler delegates part of the parsing to a class that in turn delegates part to another class (as with reading typed sub-values). I don't think this is currently possible. So I think I can understand some of the debate around this point; while I don't think it's strictly necessary that this particular library implement that, if it doesn't then another library will end up having potentially competing types and the natural Boost.Json name will already be taken. Personally, however, I don't think this is sufficient reason to block acceptance of this library. Direct pull parsing doesn't mesh well with JSON, due to the requirement to tolerate reordered keys, so any non-defective parser would have to have something DOM-like under the hood anyway. (Some kind of cache, if not necessarily a traditional DOM.) As such it should be sufficient to use json::value itself as part of a pull-like parsing interface. Regarding the SAX parser specifically, I dislike the *_part methods in the callback interface. I feel that these should be removed and only the final form retained, called only when the complete text of the value has been determined. I don't feel it is ever sensible to call back with a partially-parsed value (unless I am misunderstanding what these are for, but there is little explanation in the docs, and I wasn't able to get them called at all in my test). I also don't see the point of supplying a size argument to on_key* and on_string, as this can be read from the string_view argument instead. The various number methods don't pass this separately. Similarly, having a bool return as well as an error_code output argument seems peculiar; one or the other should be sufficient, as is it just invites inconsistency. parser.write() is incremental but basic_parser.write() is not, which seems odd. I assume this means that parser is storing an incrementally populated buffer of the full document rather than _really_ incrementally parsing. parse/parser do not appear to support consuming only part of the supplied input as a complete JSON value (returning how much was consumed), which is useful for streams where multiple objects are concatenated without explicit separation. Regarding other aspects of design, I haven't drilled down in great detail but the basic interface seems reasonably sound, other than the concerns raised above. I have mixed feelings on the initializer-list construction method -- I like that there is some method of doing this, and it seems like idiomatic C++ (particularly regarding how key-value pairs appear), but also very non-JSON -- an array of objects ends up having three nested braces. But I don't have any specific suggestion for improvement. - What is your evaluation of the implementation? It seems unfortunate (though understandable, due to heap allocation) that you cannot declare a json::value / json::object as constexpr, for cases where you do want some kind of constant reference object (e.g. a schema description). You can somewhat work around this by declaring the JSON as a constexpr string_view and later parsing it to a non-constexpr json::value, but that seems a bit awkward (and potentially bad-perf-prone if someone parses it multiple times). Otherwise I didn't really look into the implementation at all. - What is your evaluation of the documentation? Overall, good, if perhaps a bit sparse on some aspects. One pet peeve however is that most of the examples appear to be written as if "using namespace boost::json" is in effect, which I feel both encourages bad practice and makes it harder to distinguish which types are provided by the library vs. exist only for the example. This is especially confusing in the examples for tag_invoke, but not only there -- another example of confusion are the aliases for types present in both boost and std namespaces. I strongly recommend going through and changing these to explicitly use a json:: namespace prefix on all library types (including the boost/std aliases). Brevity is useful, but not at the expense of clarity. The "Using Numbers" section of the docs appears to be entirely blank. "serializer can be used to incrementally serialize a value incrementally" (redundant words are redundant) (On a related note, an example use case for serializer is listed as "ensure a fixed amount of work is performed in each cycle", but the only means of control is the length of the provided buffer. I guess this is equating work to number of characters output, which seems dubious. But I have no specific objections.) - What is your evaluation of the potential usefulness of the library? The library seems well suited for JSON as inter-process/network data interchange, other than perhaps the omission of partial input parsing. It seems less suited for JSON as configuration file -- while it can parse such files (via common extensions such as ignoring comments and trailing commas) it lacks means to pretty-print and to round-trip the comments, which would be essential if writing back a config file intended for human use. However while supporting this use case would be nice, I don't consider it mandatory. - Did you try to use the library? With what compiler? Did you have any problems? I tried it out with MSVC 2017 in standalone header-only mode, though only with a few small examples. The basic_parser examples do not compile out of the box -- with the suggested json.hpp and src.hpp includes there are link errors with basic_parser symbols. Additionally including basic_parser.hpp resolves these but starts complaining about missing max_{key,string,array,object}_size members of the handler type, which are not documented. After these are supplied then it works as expected. I don't see why these should be needed, however. - How much effort did you put into your evaluation? A glance? A quick reading? In-depth study? Roughly four hours over a few days reviewing docs and trying some small experiments. - Are you knowledgeable about the problem domain? I have some apps that use JSON as both interchange and configuration storage formats, although most of these do not use C++. So, "somewhat".

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Review Manager needed for Boost.Lambda2
by Peter Dimov 30 Sep '20

30 Sep '20

Greetings, Some time ago I wrote a blog post, https://pdimov.github.io/blog/2020/07/22/a-c14-lambda-library/, which described how a simple lambda library can be implemented in ~50 lines using the facilities already available in C++14's <functional> standard header. I turned this into a mini-library, https://github.com/pdimov/lambda2, and I'd like to submit that to Boost. I'm looking for a review manager. The library is trivial, so managing the review should be as easy as theoretically possible for a Boost review. Thanks in advance.

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new macros
by Gero Peterhoff 28 Sep '20

28 Sep '20

Hello Developer, can you please provide these 2 macros: - BOOST_HAS_LIB_INT128 - BOOST_NO_INT8_T and there is another bug in boost::is_unsigned with char8_t. See https://godbolt.org/z/o8z1aq thx Gero

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[review][JSON] json::value as a vocabulary type
by Andrzej Krzemienski 26 Sep '20

26 Sep '20

Hi Everyone, I have heard this claim a number of times: json::value is suitable for a vocabulary type. I am not sure what that actually means: no templates? Guarantee that layout or mangled symbol will never change? Anything else? My understanding of a "vocabulary type" is that it should be usable (not necessarily with maximum efficiency) for *any* usage. In the case of JSON that would mean that I should be able to represent any value that corresponds to a valid JSON when converted to text. I do not think that json::value can claim that without the ability to serialize arbitrarily big numbers. I understand that the goal of the library is to address the most common cases, and big numbers do not fall into this category. I am just saying that the name "vocabulary type" may not be accurate here. Regards, &rzej;

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Changing virtual memory amount in Appveyor and Travis CI tests
by Edward Diener 25 Sep '20

25 Sep '20

Is it possible through .yml file for Appveyor and Travis CI to change the amount of virtual memory when running a CI test. I am running CI tests for Boost PP which heavily use the preprocessor, and some of the extended tests I am running fail on both Appveyor and Travis CI with out of memory conditions while on my own local computer, with about 32 GB of ram, the tests succeed. I think in the real world most users now have at least 32 GB of ram or more, while these virtual environments in Appveyor and/or Travis CI probably run their tests with much less overall virtual memory than an average user would have.

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