mirror of https://github.com/python/cpython
bpo-29505: Fuzz json module, enforce size limit on int(x) fuzz (GH-13991)
* bpo-29505: Enable fuzz testing of the json module, enforce size limit on int(x) fuzz and json input size to avoid timeouts. Contributed by by Ammar Askar for Google.
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@ -35,6 +35,16 @@ And invoke it from ``LLVMFuzzerTestOneInput``::
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``LLVMFuzzerTestOneInput`` will run in oss-fuzz, with each test in
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``fuzz_tests.txt`` run separately.
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Seed data (corpus) for the test can be provided in a subfolder called
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``<test_name>_corpus`` such as ``fuzz_json_loads_corpus``. A wide variety
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of good input samples allows the fuzzer to more easily explore a diverse
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set of paths and provides a better base to find buggy input from.
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Dictionaries of tokens (see oss-fuzz documentation for more details) can
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be placed in the ``dictionaries`` folder with the name of the test.
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For example, ``dictionaries/fuzz_json_loads.dict`` contains JSON tokens
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to guide the fuzzer.
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What makes a good fuzz test
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---------------------------
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@ -0,0 +1,40 @@
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"0"
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",0"
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":0"
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"0:"
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"-1.2e+3"
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"true"
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"false"
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"null"
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"\"\""
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",\"\""
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":\"\""
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"\"\":"
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"{}"
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",{}"
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":{}"
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"{\"\":0}"
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"{{}}"
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"[]"
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",[]"
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":[]"
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"[0]"
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"[[]]"
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"''"
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"\\"
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"\\b"
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"\\f"
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"\\n"
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"\\r"
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"\\t"
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"\\u0000"
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"\\x00"
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"\\0"
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"\\uD800\\uDC00"
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"\\uDBFF\\uDFFF"
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@ -0,0 +1 @@
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[]
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@ -0,0 +1 @@
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{}
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@ -0,0 +1,58 @@
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[
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"JSON Test Pattern pass1",
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{"object with 1 member":["array with 1 element"]},
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{},
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[],
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-42,
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true,
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false,
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null,
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{
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"integer": 1234567890,
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"real": -9876.543210,
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"e": 0.123456789e-12,
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"E": 1.234567890E+34,
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"": 23456789012E66,
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"zero": 0,
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"one": 1,
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"space": " ",
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"quote": "\"",
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"backslash": "\\",
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"controls": "\b\f\n\r\t",
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"slash": "/ & \/",
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"alpha": "abcdefghijklmnopqrstuvwyz",
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"ALPHA": "ABCDEFGHIJKLMNOPQRSTUVWYZ",
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"digit": "0123456789",
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"0123456789": "digit",
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"special": "`1~!@#$%^&*()_+-={':[,]}|;.</>?",
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"hex": "\u0123\u4567\u89AB\uCDEF\uabcd\uef4A",
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"true": true,
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"false": false,
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"null": null,
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"array":[ ],
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"object":{ },
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"address": "50 St. James Street",
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"url": "http://www.JSON.org/",
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"comment": "// /* <!-- --",
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"# -- --> */": " ",
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" s p a c e d " :[1,2 , 3
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,
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4 , 5 , 6 ,7 ],"compact":[1,2,3,4,5,6,7],
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"jsontext": "{\"object with 1 member\":[\"array with 1 element\"]}",
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"quotes": "" \u0022 %22 0x22 034 "",
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"\/\\\"\uCAFE\uBABE\uAB98\uFCDE\ubcda\uef4A\b\f\n\r\t`1~!@#$%^&*()_+-=[]{}|;:',./<>?"
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: "A key can be any string"
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},
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0.5 ,98.6
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,
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99.44
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,
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1066,
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1e1,
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0.1e1,
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1e-1,
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1e00,2e+00,2e-00
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,"rosebud"]
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@ -0,0 +1 @@
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[[[[[[[[[[[[[[[[[[["Not too deep"]]]]]]]]]]]]]]]]]]]
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@ -0,0 +1,6 @@
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{
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"JSON Test Pattern pass3": {
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"The outermost value": "must be an object or array.",
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"In this test": "It is an object."
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}
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}
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@ -0,0 +1 @@
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[1, 2, 3, "abcd", "xyz"]
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@ -1,3 +1,4 @@
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fuzz_builtin_float
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fuzz_builtin_int
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fuzz_builtin_unicode
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fuzz_json_loads
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@ -28,8 +28,15 @@ static int fuzz_builtin_float(const char* data, size_t size) {
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return 0;
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}
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#define MAX_INT_TEST_SIZE 0x10000
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/* Fuzz PyLong_FromUnicodeObject as a proxy for int(str). */
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static int fuzz_builtin_int(const char* data, size_t size) {
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/* Ignore test cases with very long ints to avoid timeouts
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int("9" * 1000000) is not a very interesting test caase */
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if (size > MAX_INT_TEST_SIZE) {
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return 0;
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}
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/* Pick a random valid base. (When the fuzzed function takes extra
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parameters, it's somewhat normal to hash the input to generate those
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parameters. We want to exercise all code paths, so we do so here.) */
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@ -72,6 +79,42 @@ static int fuzz_builtin_unicode(const char* data, size_t size) {
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return 0;
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}
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#define MAX_JSON_TEST_SIZE 0x10000
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/* Initialized in LLVMFuzzerTestOneInput */
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PyObject* json_loads_method = NULL;
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/* Fuzz json.loads(x) */
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static int fuzz_json_loads(const char* data, size_t size) {
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/* Since python supports arbitrarily large ints in JSON,
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long inputs can lead to timeouts on boring inputs like
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`json.loads("9" * 100000)` */
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if (size > MAX_JSON_TEST_SIZE) {
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return 0;
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}
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PyObject* input_bytes = PyBytes_FromStringAndSize(data, size);
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if (input_bytes == NULL) {
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return 0;
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}
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PyObject* parsed = PyObject_CallFunctionObjArgs(json_loads_method, input_bytes, NULL);
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/* Ignore ValueError as the fuzzer will more than likely
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generate some invalid json and values */
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if (parsed == NULL && PyErr_ExceptionMatches(PyExc_ValueError)) {
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PyErr_Clear();
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}
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/* Ignore RecursionError as the fuzzer generates long sequences of
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arrays such as `[[[...` */
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if (parsed == NULL && PyErr_ExceptionMatches(PyExc_RecursionError)) {
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PyErr_Clear();
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}
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/* Ignore unicode errors, invalid byte sequences are common */
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if (parsed == NULL && PyErr_ExceptionMatches(PyExc_UnicodeDecodeError)) {
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PyErr_Clear();
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}
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Py_DECREF(input_bytes);
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Py_XDECREF(parsed);
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return 0;
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}
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/* Run fuzzer and abort on failure. */
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static int _run_fuzz(const uint8_t *data, size_t size, int(*fuzzer)(const char* , size_t)) {
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int rv = fuzzer((const char*) data, size);
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@ -88,7 +131,6 @@ static int _run_fuzz(const uint8_t *data, size_t size, int(*fuzzer)(const char*
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/* CPython generates a lot of leak warnings for whatever reason. */
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int __lsan_is_turned_off(void) { return 1; }
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wchar_t wide_program_name[NAME_MAX];
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int LLVMFuzzerInitialize(int *argc, char ***argv) {
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wchar_t* wide_program_name = Py_DecodeLocale(*argv[0], NULL);
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@ -110,6 +152,12 @@ int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) {
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initialize CPython ourselves on the first run. */
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Py_InitializeEx(0);
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}
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#if !defined(_Py_FUZZ_ONE) || defined(_Py_FUZZ_fuzz_json_loads)
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if (json_loads_method == NULL) {
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PyObject* json_module = PyImport_ImportModule("json");
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json_loads_method = PyObject_GetAttrString(json_module, "loads");
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}
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#endif
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int rv = 0;
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@ -121,6 +169,9 @@ int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) {
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#endif
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#if !defined(_Py_FUZZ_ONE) || defined(_Py_FUZZ_fuzz_builtin_unicode)
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rv |= _run_fuzz(data, size, fuzz_builtin_unicode);
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#endif
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#if !defined(_Py_FUZZ_ONE) || defined(_Py_FUZZ_fuzz_json_loads)
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rv |= _run_fuzz(data, size, fuzz_json_loads);
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#endif
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return rv;
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}
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