Exit Zen
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The specific behavior is controlled by an optional parameter of type <<ref_set_pointer_options>>. For example, here's the same example with a different option:
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A sequence container of JSON values supporting dynamic size and fast, random
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It exposes both a sequence API and a tuple API. But converting from <<ref_value>> to `user_ns::ip_address` would not be able to use implementation for sequences, since those are constructed empty and then populated one element at a time, while `ip_address` has a fixed size of 4. The tuple conversion would fit, though. The only problem is that <<ref_is_tuple_like>> has a lower priority than <<ref_is_sequence_like>>. In order to circumvent this, the user only needs to specialize <<ref_is_sequence_like>> to not match `ip_address`.
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If you need to combine incremental parsing with direct parsing, you can resort to <<ref_parser_for>>. `parser_for<T>` is an instantiation of <<ref_basic_parser>> that parses into an object of type `T`, and is what <<ref_parse_into>> uses under the hood.
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For the class `ip_address` from the section <<custom_conversions>> this overload may look like this:
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Similar to its standard library counterpart, elements may be accessed directly by their 0-based index with bounds checking using <<ref_array_at>>, or without bounds checking using <<ref_array_operator_lb_rb>>:
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<<default_memory_resource,default resource>>, an implementation-defined instance which always uses the equivalent of global operator new and delete.
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require that <<ref_value>> be declared as a class template, which would impose an additional compilation burden. By avoiding the template, most of the function definitions in the library can be excluded from the headers and emitted in a separate static or dynamic library.
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In this library the types <<ref_array>>, <<ref_object>>, and <<ref_string>> hold JSON arrays, objects, and strings respectively while the type <<ref_value>> is a special variant which can hold any JSON element. Here we construct an empty object and then insert the elements above:
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In such cases, if every element consists of a string followed by a single value, then the enclosing initializer list is interpreted as an <<ref_object>>. Otherwise, it is interpreted as an <<ref_array>>.
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Direct serialization doesn't require any special components and works with the regular <<ref_serializer>> and <<ref_serialize>>.
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All inserted values will use the same {ref_memory_resource} as the container
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The overload lets us use `ip_address` with <<ref_try_value_to>>.
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This implementation explicitly creates an <<ref_array>> rather than relying on assignment from an initializer list. But the array uses default {ref_memory_resource}, not the one used by `jv`.
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For the complete listing of all available member functions and nested types, see the reference page for <<ref_array>>.
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"Why use <<ref_storage_ptr>> over {ref_polymorphic_allocator}?:: {ref_polymorphic_allocator} treats the memory resource as a reference with respect to ownership. Boost.JSON uses a reference counted smart pointer container to simplify the lifetime management of memory resources. In addition to being reference counted, <<ref_storage_ptr>> can function as an uncounted reference wrapper around a {ref_memory_resource}.
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a series of member function calls to a user provided handler. This allows custom behaviors to be implemented for representing the document in memory.
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While keys are strings, the mapped type of objects and the element type of arrays is the aforementioned type <<ref_value>> which can hold any JSON element, as seen in the previous assignments. Instead of building the JSON document using a series of function calls, we can build it in one statement using an initializer list:
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which is optimized for parsing without subsequent modification. The <<ref_stream_parser>> object is reused between trials, allowing temporary memory allocated by the implementation to persist and improve performance.
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itself.
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