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Niels Lohmann dbf9f45455 Update cppcheck to 1.5.2 (Cppcheck 2.20) and fix its new findings
Cppcheck 2.20 rejects invocations of unknown function-like macros in #if
conditions instead of evaluating them as 0. default_defines.hpp expands
the Hedley macros to the compiler's feature-test operators (__has_attribute
etc.), so define them as 0 in a generated include file.

It also reports a false bufferAccessOutOfBounds in the float overload of
float_from_bits, sizing the parameter as the double overload's; use the
size of the source instead (equal by the static_assert).

Signed-off-by: Niels Lohmann <mail@nlohmann.me>
2026-10-14 17:58:07 +02:00
16 changed files with 42 additions and 160 deletions

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+8 -1
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@@ -485,6 +485,13 @@ add_custom_target(ci_clang_analyze
# Check code with Cppcheck.
###############################################################################
# default_defines.hpp expands the Hedley macros to the compiler's feature-test operators, which Cppcheck does not know.
# Since Cppcheck 2.20, it rejects their invocations in #if conditions instead of evaluating them as 0.
file(WRITE ${CMAKE_BINARY_DIR}/cppcheck_feature_tests.hpp "")
foreach(OPERATOR __has_attribute __has_builtin __has_cpp_attribute __has_declspec_attribute __has_extension __has_feature __has_include __has_warning)
file(APPEND ${CMAKE_BINARY_DIR}/cppcheck_feature_tests.hpp "#define ${OPERATOR}(x) 0\n")
endforeach()
add_custom_target(ci_cppcheck
COMMAND mkdir -p cppcheck
COMMAND clang -dM -E -x c++ -std=c++11 ${CMAKE_SOURCE_DIR}/include/nlohmann/thirdparty/hedley/hedley.hpp > default_defines.hpp 2> /dev/null
@@ -493,7 +500,7 @@ add_custom_target(ci_cppcheck
COMMAND venv_cppcheck/bin/cppcheck --enable=warning --check-level=exhaustive --inline-suppr --inconclusive --force
--std=c++11 ${PROJECT_SOURCE_DIR}/include/nlohmann/json.hpp -I ${CMAKE_SOURCE_DIR}/include
--error-exitcode=1 --relative-paths=${PROJECT_SOURCE_DIR} -j ${N} --include=default_defines.hpp
--cppcheck-build-dir=cppcheck
--include=${CMAKE_BINARY_DIR}/cppcheck_feature_tests.hpp --cppcheck-build-dir=cppcheck
-UJSON_CATCH_USER -UJSON_TRY_USER -UJSON_ASSERT -UJSON_INTERNAL_CATCH -UJSON_THROW
-DJSON_HAS_CPP_11 -UJSON_HAS_CPP_14 -UJSON_HAS_CPP_17 -UJSON_HAS_CPP_20 -UJSON_HAS_THREE_WAY_COMPARISON
COMMENT "Check code with Cppcheck"
+1 -1
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@@ -1 +1 @@
cppcheck==1.5.1
cppcheck==1.5.2
+1 -1
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@@ -27,7 +27,7 @@ To store objects in C++, a type is defined by the template parameters explained
### Default type
With the default values for `ArrayType` (`std::vector`) and `AllocatorType` (`std::allocator`), the default type for
With the default values for `ArrayType` (`std::vector`) and `AllocatorType` (`std::allocator`), the default value for
`array_t` is:
```cpp
+1 -1
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@@ -23,7 +23,7 @@ To store boolean values in C++, a type is defined by the template parameter `Bo
### Default type
With the default values for `BooleanType` (`#!cpp bool`), the default type for `boolean_t` is `#!cpp bool`.
With the default values for `BooleanType` (`#!cpp bool`), the default value for `boolean_t` is `#!cpp bool`.
### Storage
@@ -35,7 +35,7 @@ type to use.
### Default type
With the default values for `NumberFloatType` (`double`), the default type for `number_float_t` is `#!cpp double`.
With the default values for `NumberFloatType` (`double`), the default value for `number_float_t` is `#!cpp double`.
### Default behavior
@@ -52,9 +52,8 @@ With the default values for `NumberFloatType` (`double`), the default type for `
> interoperability can be achieved by implementations that expect no more precision or range than these provide, in the
> sense that implementations will approximate JSON numbers within the expected precision.
This implementation does exactly follow this approach, as it uses double precision floating-point numbers by default.
Note that with the default `double`, numbers smaller than `-1.79769313486232e+308` or greater than
`1.79769313486232e+308` are rejected during parsing with
This implementation does exactly follow this approach, as it uses double precision floating-point numbers. Note that
numbers smaller than `-1.79769313486232e+308` or greater than `1.79769313486232e+308` are rejected during parsing with
[`out_of_range.406`](../../home/exceptions.md#jsonexceptionout_of_range406). Non-finite values (NaN and infinity) can
only be stored by assigning them directly and are serialized to `null`.
@@ -31,7 +31,7 @@ to use.
### Default type
With the default values for `NumberIntegerType` (`std::int64_t`), the default type for `number_integer_t` is
With the default values for `NumberIntegerType` (`std::int64_t`), the default value for `number_integer_t` is
`#!cpp std::int64_t`.
### Default behavior
@@ -32,7 +32,7 @@ the type to use.
### Default type
With the default values for `NumberUnsignedType` (`std::uint64_t`), the default type for `number_unsigned_t` is
With the default values for `NumberUnsignedType` (`std::uint64_t`), the default value for `number_unsigned_t` is
`#!cpp std::uint64_t`.
### Default behavior
+1 -1
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@@ -36,7 +36,7 @@ To store objects in C++, a type is defined by the template parameters described
### Default type
With the default values for `ObjectType` (`std::map`), `StringType` (`std::string`), and `AllocatorType`
(`std::allocator`), the default type for `object_t` is:
(`std::allocator`), the default value for `object_t` is:
```cpp
// until C++14
+1 -1
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@@ -32,7 +32,7 @@ JSON class into byte-sized characters during deserialization.
### Default type
With the default values for `StringType` (`std::string`), the default type for `string_t` is `#!cpp std::string`.
With the default values for `StringType` (`std::string`), the default value for `string_t` is `#!cpp std::string`.
### Encoding
+8 -8
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@@ -120,7 +120,7 @@ requirements are collected in [Template Parameter Requirements](template_paramet
### Default type
With the default values for *ObjectType* (`std::map`), *StringType* (`std::string`), and *AllocatorType* (`std::allocator`), the default type for `object_t` is:
With the default values for *ObjectType* (`std::map`), *StringType* (`std::string`), and *AllocatorType* (`std::allocator`), the default value for `object_t` is:
```cpp
std::map<
@@ -177,7 +177,7 @@ json j = m;
### Default type
With the default values for *ArrayType* (`std::vector`) and *AllocatorType* (`std::allocator`), the default type for `array_t` is:
With the default values for *ArrayType* (`std::vector`) and *AllocatorType* (`std::allocator`), the default value for `array_t` is:
```cpp
std::vector<
@@ -209,7 +209,7 @@ Unicode values are split by the JSON class into byte-sized characters during des
### Default type
With the default values for *StringType* (`std::string`), the default type for `string_t` is `#!cpp std::string`.
With the default values for *StringType* (`std::string`), the default value for `string_t` is `#!cpp std::string`.
### Encoding
@@ -234,7 +234,7 @@ String values are stored as pointers in a `basic_json` type. That is, for any ac
### Default type
With the default values for *BooleanType* (`#!cpp bool`), the default type for `boolean_t` is `#!cpp bool`.
With the default values for *BooleanType* (`#!cpp bool`), the default value for `boolean_t` is `#!cpp bool`.
### Storage
@@ -252,9 +252,9 @@ This description includes both integer and floating-point numbers. However, C++
### Default types
With the default values for *NumberIntegerType* (`std::int64_t`), the default type for `number_integer_t` is `std::int64_t`.
With the default values for *NumberUnsignedType* (`std::uint64_t`), the default type for `number_unsigned_t` is `std::uint64_t`.
With the default values for *NumberFloatType* (`#!cpp double`), the default type for `number_float_t` is `#!cpp double`.
With the default values for *NumberIntegerType* (`std::int64_t`), the default value for `number_integer_t` is `std::int64_t`.
With the default values for *NumberUnsignedType* (`std::uint64_t`), the default value for `number_unsigned_t` is `std::uint64_t`.
With the default values for *NumberFloatType* (`#!cpp double`), the default value for `number_float_t` is `#!cpp double`.
### Default behavior
@@ -281,7 +281,7 @@ As this range is a subrange of the exactly supported range [`INT64_MIN`, `INT64_
> This specification allows implementations to set limits on the range and precision of numbers accepted. Since software that implements IEEE 754-2008 binary64 (double precision) numbers is generally available and widely used, good interoperability can be achieved by implementations that expect no more precision or range than these provide, in the sense that implementations will approximate JSON numbers within the expected precision.
This implementation does exactly follow this approach, as it uses double precision floating-point numbers by default (see *NumberFloatType* above). Note that with the default `#!cpp double`, numbers smaller than `#!c -1.79769313486232e+308` or greater than `#!c 1.79769313486232e+308` are rejected during parsing with [`out_of_range.406`](../../home/exceptions.md#jsonexceptionout_of_range406). Non-finite values (NaN and infinity) can only be stored by assigning them directly and are serialized to `#!json null`.
This implementation does exactly follow this approach, as it uses double precision floating-point numbers. Note that numbers smaller than `#!c -1.79769313486232e+308` or greater than `#!c 1.79769313486232e+308` are rejected during parsing with [`out_of_range.406`](../../home/exceptions.md#jsonexceptionout_of_range406). Non-finite values (NaN and infinity) can only be stored by assigning them directly and are serialized to `#!json null`.
### Storage
+3 -6
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@@ -674,19 +674,16 @@ class json_sax_dom_callback_parser
if (keep && ref_stack.back())
{
auto& obj = *ref_stack.back()->m_data.m_value.object;
// a single lookup: insert the placeholder, or find the existing member
const auto inserted = obj.emplace(val, discarded);
const auto it = inserted.first;
if (!inserted.second)
const auto it = obj.find(val);
if (it != obj.end())
{
// this is a duplicate key (legal in JSON); remember its
// current value so it can be restored later if the new
// value is rejected by the callback, instead of being
// erased together with the discarded placeholder
duplicate_key_stash.emplace_back(&(it->second), it->second);
it->second = discarded;
}
object_element = &(it->second);
object_element = &(obj[val] = discarded);
}
return true;
@@ -704,7 +704,7 @@ inline void float_from_bits(std::uint64_t bits, float& value) noexcept
{
static_assert(sizeof(float) == sizeof(std::uint32_t), "float must have 32 bits");
const auto bits32 = static_cast<std::uint32_t>(bits);
std::memcpy(&value, &bits32, sizeof(value));
std::memcpy(&value, &bits32, sizeof(bits32));
}
/// the powers of ten that are exact in binary64 (up to 10^22)
+4 -26
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@@ -938,23 +938,6 @@ class json_pointer
}
private:
// Add the entry (key, v) to the object `obj`. Flattened paths are pairwise
// distinct, so objects that can append a key known to be absent
// (ordered_map) skip the lookup, which is linear and would make flatten
// quadratic; all other object types use operator[].
template<typename ObjectType, typename ValueType>
static auto add_flattened(ObjectType& obj, const string_t& key, ValueType&& v, int /*unused*/)
-> decltype(obj.emplace_new_key(key, std::forward<ValueType>(v)), void())
{
obj.emplace_new_key(key, std::forward<ValueType>(v));
}
template<typename ObjectType, typename ValueType>
static void add_flattened(ObjectType& obj, const string_t& key, ValueType&& v, ...)
{
obj[key] = std::forward<ValueType>(v);
}
/*!
@param[in] reference_string the reference string to the current value
@param[in] value the value to consider
@@ -999,8 +982,7 @@ class json_pointer
// flatten `v`, whose path is `path`: primitives and empty containers
// are added to the result right away; other containers get a frame
auto& object = *result.m_data.m_value.object;
const auto enter = [&stack, &path, &object](const BasicJsonType & v)
const auto enter = [&stack, &path, &result](const BasicJsonType & v)
{
switch (v.type())
{
@@ -1009,7 +991,7 @@ class json_pointer
if (v.m_data.m_value.array->empty())
{
// flatten empty array as null
add_flattened(object, path, nullptr, 0);
result[path] = nullptr;
}
else
{
@@ -1023,7 +1005,7 @@ class json_pointer
if (v.m_data.m_value.object->empty())
{
// flatten empty object as null
add_flattened(object, path, nullptr, 0);
result[path] = nullptr;
}
else
{
@@ -1043,7 +1025,7 @@ class json_pointer
default:
{
// add a primitive value with its reference string
add_flattened(object, path, v, 0);
result[path] = v;
return;
}
}
@@ -1089,10 +1071,6 @@ class json_pointer
enter(it->second);
}
}
// the entries were added without going through basic_json, so the
// parent pointers (JSON_DIAGNOSTICS) have to be set now
result.set_parents();
}
/*!
-11
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@@ -143,17 +143,6 @@ public:
return {std::prev(this->end()), true};
}
/// @brief add an element at the end without checking whether the key exists
/// @note The caller must guarantee that @a key is not yet contained, otherwise
/// the container holds duplicate keys. This avoids the linear search of
/// emplace() and operator[] when many keys known to be new are added.
template<class V, detail::enable_if_t<
detail::is_constructible<T, V>::value, int> = 0>
void emplace_new_key(const key_type& key, V && t)
{
append(key, std::forward<V>(t));
}
T& operator[](const key_type& key)
{
return emplace(key, T{}).first->second;
+8 -44
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@@ -10151,7 +10151,7 @@ inline void float_from_bits(std::uint64_t bits, float& value) noexcept
{
static_assert(sizeof(float) == sizeof(std::uint32_t), "float must have 32 bits");
const auto bits32 = static_cast<std::uint32_t>(bits);
std::memcpy(&value, &bits32, sizeof(value));
std::memcpy(&value, &bits32, sizeof(bits32));
}
/// the powers of ten that are exact in binary64 (up to 10^22)
@@ -13850,19 +13850,16 @@ class json_sax_dom_callback_parser
if (keep && ref_stack.back())
{
auto& obj = *ref_stack.back()->m_data.m_value.object;
// a single lookup: insert the placeholder, or find the existing member
const auto inserted = obj.emplace(val, discarded);
const auto it = inserted.first;
if (!inserted.second)
const auto it = obj.find(val);
if (it != obj.end())
{
// this is a duplicate key (legal in JSON); remember its
// current value so it can be restored later if the new
// value is rejected by the callback, instead of being
// erased together with the discarded placeholder
duplicate_key_stash.emplace_back(&(it->second), it->second);
it->second = discarded;
}
object_element = &(it->second);
object_element = &(obj[val] = discarded);
}
return true;
@@ -21562,23 +21559,6 @@ class json_pointer
}
private:
// Add the entry (key, v) to the object `obj`. Flattened paths are pairwise
// distinct, so objects that can append a key known to be absent
// (ordered_map) skip the lookup, which is linear and would make flatten
// quadratic; all other object types use operator[].
template<typename ObjectType, typename ValueType>
static auto add_flattened(ObjectType& obj, const string_t& key, ValueType&& v, int /*unused*/)
-> decltype(obj.emplace_new_key(key, std::forward<ValueType>(v)), void())
{
obj.emplace_new_key(key, std::forward<ValueType>(v));
}
template<typename ObjectType, typename ValueType>
static void add_flattened(ObjectType& obj, const string_t& key, ValueType&& v, ...)
{
obj[key] = std::forward<ValueType>(v);
}
/*!
@param[in] reference_string the reference string to the current value
@param[in] value the value to consider
@@ -21623,8 +21603,7 @@ class json_pointer
// flatten `v`, whose path is `path`: primitives and empty containers
// are added to the result right away; other containers get a frame
auto& object = *result.m_data.m_value.object;
const auto enter = [&stack, &path, &object](const BasicJsonType & v)
const auto enter = [&stack, &path, &result](const BasicJsonType & v)
{
switch (v.type())
{
@@ -21633,7 +21612,7 @@ class json_pointer
if (v.m_data.m_value.array->empty())
{
// flatten empty array as null
add_flattened(object, path, nullptr, 0);
result[path] = nullptr;
}
else
{
@@ -21647,7 +21626,7 @@ class json_pointer
if (v.m_data.m_value.object->empty())
{
// flatten empty object as null
add_flattened(object, path, nullptr, 0);
result[path] = nullptr;
}
else
{
@@ -21667,7 +21646,7 @@ class json_pointer
default:
{
// add a primitive value with its reference string
add_flattened(object, path, v, 0);
result[path] = v;
return;
}
}
@@ -21713,10 +21692,6 @@ class json_pointer
enter(it->second);
}
}
// the entries were added without going through basic_json, so the
// parent pointers (JSON_DIAGNOSTICS) have to be set now
result.set_parents();
}
/*!
@@ -29183,17 +29158,6 @@ public:
return {std::prev(this->end()), true};
}
/// @brief add an element at the end without checking whether the key exists
/// @note The caller must guarantee that @a key is not yet contained, otherwise
/// the container holds duplicate keys. This avoids the linear search of
/// emplace() and operator[] when many keys known to be new are added.
template<class V, detail::enable_if_t<
detail::is_constructible<T, V>::value, int> = 0>
void emplace_new_key(const key_type& key, V && t)
{
append(key, std::forward<V>(t));
}
T& operator[](const key_type& key)
{
return emplace(key, T{}).first->second;
-52
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@@ -24,8 +24,6 @@ using nlohmann::json;
#endif
#include <map>
#include <string>
#include <vector>
#include <sstream>
TEST_CASE("JSON pointers")
@@ -1073,53 +1071,3 @@ TEST_CASE("flatten of structured values")
R"({"/z":"s","/a~1b/~0":1,"/a~1b/k":null,"/a/0":1,"/a/1/c":null,"/a/1/b":null,"/a/2/0/x~0~1/0":true,"/a/2/0/x~0~1/1":null,"/a/2/0/w":2})");
}
}
TEST_CASE("flatten of ordered_json")
{
using nlohmann::ordered_json;
SECTION("keeps the document order of the leaves")
{
const ordered_json j = ordered_json::parse(R"({
"z": 1, "a": {"y": [true, null, {}], "b": "x", "": []},
"m~n": 2.5, "o/p": {"k": {}}, "0": [[1], [2, 3]]
})");
const ordered_json flat = j.flatten();
std::vector<std::string> keys;
for (const auto& el : flat.items())
{
keys.push_back(el.key());
}
const std::vector<std::string> expected =
{
"/z", "/a/y/0", "/a/y/1", "/a/y/2", "/a/b", "/a/", "/m~0n", "/o~1p/k", "/0/0/0", "/0/1/0", "/0/1/1"
};
CHECK(keys == expected);
CHECK(flat.size() == expected.size());
CHECK(flat["/m~0n"] == 2.5);
CHECK(flat["/a/y/2"].is_null());
}
SECTION("round-trips and agrees with json")
{
ordered_json j;
for (int i = 0; i < 200; ++i)
{
j["k" + std::to_string(i)] = {{"v", i}, {"l", {i, i + 1, "s"}}};
}
const ordered_json flat = j.flatten();
CHECK(flat.size() == 800);
CHECK(flat.unflatten() == j);
// same entries as for a sorted object
const nlohmann::json plain = nlohmann::json::parse(j.dump());
CHECK(nlohmann::json::parse(flat.dump()) == plain.flatten());
}
SECTION("primitive and empty root")
{
CHECK(ordered_json(1).flatten() == ordered_json({{"", 1}}));
CHECK(ordered_json::array().flatten() == ordered_json({{"", nullptr}}));
}
}