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json_view: address review of the exception diagnostics
- value_path(): check for the empty stack where the last frame is popped, so that the loop is `for (;;)`; update the frame only after the target check; document that the frame reference is not used after pop_back() or push_back() (and add a test with deep documents to run under a sanitizer) - value_range(): flip the container check to remove a level of nesting - diagnostics(): wrap the whole function in the macro check, and compute the path before the bytes, so that nothing is computed when there is no path; the function stays a template - error_site: separate constructors for the two configurations - site_of(): static_assert that it is called with a view - document why the throw helpers without an error_site have none - pointer.hpp: do not split a comment around the template header - docs: "when materialize() sets them"; list the effects of JSON_DIAGNOSTICS and JSON_DIAGNOSTIC_POSITIONS separately Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01N5NasBf4ToHzdcoNEPAJhS
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@@ -512,6 +512,26 @@ TEST_CASE("json_view exceptions name the path and the bytes of the value")
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CHECK(exception_of_call([&] { static_cast<void>(d.root()["a"][2]["n"][0].get<int>()); }) == expected);
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}
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SECTION("deep documents with siblings after every nested container")
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{
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// the search for the path pushes and pops one frame per level (the
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// stack reallocates while it grows, and shrinks again at every
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// sibling): run under a sanitizer, a reference to a popped or moved
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// frame would show here
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std::string text = "7";
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for (int level = 0; level < 40; ++level)
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{
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text = R"([[1, [2]], )" + text + R"(, {"k": [3, {"l": [4]}]}, [5, [6, [7]]]])";
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}
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CAPTURE(text)
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const json j = json::parse(text);
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const json_document d = json_document::parse(text);
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check_exceptions(d.root(), j);
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json_editable_document e = json_editable_document::parse(text);
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e.set(e.root()[0][0], 9);
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check_exceptions(e.root(), e.root().materialize());
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}
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SECTION("examples")
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{
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const std::string text = R"({"people": [{"name": "a", "age": 1}, {"name": "c", "age": "x"}], "o": {"k": 1}})";
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