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fix CI errors

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This commit is contained in:
Qianqian Fang 2022-05-09 13:47:29 -04:00
parent cfb5da6ebd
commit 2798bed8a3
2 changed files with 10 additions and 8 deletions
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9
include/nlohmann/detail/input/binary_reader.hpp
View File

@ -2421,16 +2421,16 @@ class binary_reader
return false;
}
// detect and encode bjdata ndarray as an object in JData annotated array format (https://github.com/NeuroJSON/jdata):
// if bit-8 of size_and_type.second is set to 1, encode bjdata ndarray as an object in JData annotated array format (https://github.com/NeuroJSON/jdata):
// {"_ArrayType_" : "typeid", "_ArraySize_" : [n1, n2, ...], "_ArrayData_" : [v1, v2, ...]}
if (input_format == input_format_t::bjdata && size_and_type.first != string_t::npos && size_and_type.second >= (1 << 8))
if (input_format == input_format_t::bjdata && size_and_type.first != string_t::npos && (size_and_type.second & (1 << 8)) != 0)
{
std::map<char_int_type, string_t> bjdtype = {{'U', "uint8"}, {'i', "int8"}, {'u', "uint16"}, {'I', "int16"},
{'m', "uint32"}, {'l', "int32"}, {'M', "uint64"}, {'L', "int64"}, {'d', "single"}, {'D', "double"}, {'C', "char"}
};
size_and_type.second &= ~(1 << 8); // use bit 8 to indicate ndarray, here we remove the bit to restore the type marker
size_and_type.second &= ~(static_cast<char_int_type>(1) << 8); // use bit 8 to indicate ndarray, here we remove the bit to restore the type marker
string_t key = "_ArrayType_";
if (JSON_HEDLEY_UNLIKELY(bjdtype.count(size_and_type.second) == 0))
@ -2529,7 +2529,8 @@ class binary_reader
return false;
}
if (input_format == input_format_t::bjdata && size_and_type.first != string_t::npos && size_and_type.second >= (1 << 8))
// do not accept ND-array size in objects in BJData
if (input_format == input_format_t::bjdata && size_and_type.first != string_t::npos && (size_and_type.second & (1 << 8)) != 0)
{
auto last_token = get_token_string();
return sax->parse_error(chars_read, last_token, parse_error::create(112, chars_read,

9
single_include/nlohmann/json.hpp
View File

@ -10895,16 +10895,16 @@ class binary_reader
return false;
}
// detect and encode bjdata ndarray as an object in JData annotated array format (https://github.com/NeuroJSON/jdata):
// if bit-8 of size_and_type.second is set to 1, encode bjdata ndarray as an object in JData annotated array format (https://github.com/NeuroJSON/jdata):
// {"_ArrayType_" : "typeid", "_ArraySize_" : [n1, n2, ...], "_ArrayData_" : [v1, v2, ...]}
if (input_format == input_format_t::bjdata && size_and_type.first != string_t::npos && size_and_type.second >= (1 << 8))
if (input_format == input_format_t::bjdata && size_and_type.first != string_t::npos && (size_and_type.second & (1 << 8)) != 0)
{
std::map<char_int_type, string_t> bjdtype = {{'U', "uint8"}, {'i', "int8"}, {'u', "uint16"}, {'I', "int16"},
{'m', "uint32"}, {'l', "int32"}, {'M', "uint64"}, {'L', "int64"}, {'d', "single"}, {'D', "double"}, {'C', "char"}
};
size_and_type.second &= ~(1 << 8); // use bit 8 to indicate ndarray, here we remove the bit to restore the type marker
size_and_type.second &= ~(static_cast<char_int_type>(1) << 8); // use bit 8 to indicate ndarray, here we remove the bit to restore the type marker
string_t key = "_ArrayType_";
if (JSON_HEDLEY_UNLIKELY(bjdtype.count(size_and_type.second) == 0))
@ -11003,7 +11003,8 @@ class binary_reader
return false;
}
if (input_format == input_format_t::bjdata && size_and_type.first != string_t::npos && size_and_type.second >= (1 << 8))
// do not accept ND-array size in objects in BJData
if (input_format == input_format_t::bjdata && size_and_type.first != string_t::npos && (size_and_type.second & (1 << 8)) != 0)
{
auto last_token = get_token_string();
return sax->parse_error(chars_read, last_token, parse_error::create(112, chars_read,