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Note however that compiling the same kernel with older linaro-gcc-4.7 based binaries does not have this issue. What should I doIn a good number of cases, features or optimizations done to gcc or related components tend to uncover bugs in the kernel that usually get reported and fixed upstream. For example, the commit ID pointed to in bugs.launchpad/linaro-toolchain-binaries/bug/1186218/comments/7 fixes such an issue. Make sure you backport this patch to your kernel.Beginning 12.05, when Precise switched to hard float, Linaro switched its default toolchain configuration from softfp to hard. The only soft float (multilib) configuration supported is armv4t with option -marm -marcharmv4t -mfloat-abisoft. This is included for use when building projects such as Linux and u-boot for earlier architectures.The prebuilt binary release for 2014.11 and onwards look vastly different from previous releases. Whats changed 2014.11 is the first release built with ABE, adding more maintainable code base and automatic testing. The binary tarballs have been splitted into 3 parts. As a result, you can install only the parts needed: gcc-linaro-.tar.xz - the compiler and tools runtime-linaro-.tar.xz - runtime libraries needed on the target sysroot-linaro-.tar.xz - sysroot (a set of libraries and headers to develop against) Sysroots will use the latest (e)glibc release provided by Linaro engineers in order that users get the latest features and optimizations in the system libraries. Eglibc 2.15 compatible sysroots will no longer be released. Users that require Eglibc 2.15 sysroots that need the latest Linaro GCC compiler should use the previous quarterly released sysroot. x86 (32-bit) Linux host toolchains are no longer provided. x8664 (64-bit) Linux host toolchains are provided instead. Soft-float targeted toolchains are no longer supported.This page documents how people currently publish gender information on the web (sometimes implicitly - so not easily machine parsable - such as names (Andrew, Andrea), titles (Mr, Mrs, Miss), relationships (husband, brother), pronouns (he, she), etc.)), and what gender terms are supported by current web user interfaces. This research will hopefully be useful to the genealogy microformat effort, as well as efforts to extend vCard, and therefore hCard.There are two major flavours of bytestrings: strict and lazy. Strict bytestrings are exactly what you would expecta linear array of bytes in memory. Lazy bytestrings are a list of strict bytestrings often this is called a cord in other languages. When reading a lazy bytestring from a file, the data will be read chunk by chunk and the file can be larger than the size of memory. The default chunk size is currently 32K.Note that we are using strict bytestrings here. (Its quite common to import the ByteString module under the names B or BS.) Since the bytestrings are strict, the code will read the whole of stdin into memory and then write it out. If the input was too large this would overflow the available memory and fail.You should review the documentation which lists all the functions which operate on ByteStrings. The documentation for the various types (lazy Word8, strict Char8, ...) are all very similar. You generally find the same functions in each, with the same names. Remember to import the modules as qualified and give them different names.Ill just mention in passing that sometimes you need to do something which would endanger the referential transparency of ByteStrings. Generally you only need to do this when using the FFI to interface with C libraries. Should such a need arise, you can have a look at the internal functions and the unsafe functions. Remember that the last set of functions are called unsafe for a reasonmisuse can crash your programThe binary package has three major parts: the Get monad, the Put monad and a general serialisation for Haskell types. The latter is like the pickle module that you may know from Pythonit has its own serialisation format and I wont be covering it any more here. However, if you just need to persist some Haskell data structures, it might be exactly what you want: the documentation is hereThe Get monad is a state monad it keeps some state and each action updates that state. The state in this case is an offset into the bytestring which is getting parsed. Get parses lazy bytestrings this is how packages like tar can parse files several gigabytes long in constant memory: they are using a pipeline of lazy bytestrings. However, this also has a downside. When parsing a lazy bytestring a parse failure (such as running off the end of the bytestring) is signified by an exception. Exceptions can only be caught in the IO monad and, because of laziness, might not be thrown exactly where you expect. If this is a problem, you probably want a strict version of Get, which is covered below.If youre parsing small messages then, firstly your input isnt going to be a lazy bytestring but a strict one. Thats not reallly a problem because you can easilly convert between them. However, if you want to handle parse failures you either have to write your parser very carefully, or you have to deal with the fact that you can only catch exceptions in the IO monad.Now we can see that the parser was successful (we got a Right) and we can see that our shell actually added an extra newline on the input (correctly) and the parser didnt consume that, so its also returned to us. Now we try it with a truncated input:This time we didnt get an exception, but a Left value, which can be handled in pure code. The remaining bytestring is the same because our truncated input is 9 bytes long, parsing the first two Word32s consumed 8 bytes and parsing the third failedat which point we had the last byte still in the input.If you have to deal with a protocol which isnt length prefixed, or otherwise chunkable, from the network then you are faced with the problem of knowing when you have enough data to parse something semantically useful. You could run a strict Get over what you have and catch the truncation result, but that means that youre parsing the data multiple times etc.It reflects the three outcomes of parsing possibly truncated data. Either the data is invalid as is, or its complete, or its truncated. In the truncated case you are given a function (called a continuation), to which you can pass more data, when you get it, and continue the parse.