23531027933

Committed 25 Mar 2026 08:05AM UTC coverage: 48.592% (-1.5%) from 50.098%

Build # 23531027933

Build Type

Pull #57

github

Committed by

web-flow

Commit Message

Merge d1070e289 into 38f9f3616

Pull Request Pull Request #57: feat(comparator): add pairwise traces comparator

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46.55

/src/dftracer/utils/python/utilities/statistics_query.cpp

#define PY_SSIZE_T_CLEAN
#include <dftracer/utils/core/coro/task.h>
#include <dftracer/utils/core/runtime.h>
#include <dftracer/utils/python/runtime.h>
#include <dftracer/utils/python/utilities/statistics_query.h>
#include <dftracer/utils/utilities/composites/dft/statistics/statistics_aggregator_utility.h>
#include <dftracer/utils/utilities/composites/dft/statistics/statistics_query_utility.h>

#include <string>

using dftracer::utils::Runtime;
using dftracer::utils::coro::CoroTask;
using namespace dftracer::utils::utilities::composites::dft::statistics;

static Runtime *get_runtime(StatisticsQueryObject *self) {
    if (self->runtime_obj)
        return ((RuntimeObject *)self->runtime_obj)->runtime.get();
    return get_default_runtime();
}

static void StatisticsQuery_dealloc(StatisticsQueryObject *self) {
    Py_XDECREF(self->runtime_obj);
    Py_TYPE(self)->tp_free((PyObject *)self);
}

static PyObject *StatisticsQuery_new(PyTypeObject *type, PyObject *args,
                                     PyObject *kwds) {
    StatisticsQueryObject *self =
        (StatisticsQueryObject *)type->tp_alloc(type, 0);
    if (self) {
        self->runtime_obj = NULL;
    }
    return (PyObject *)self;
}

static int StatisticsQuery_init(StatisticsQueryObject *self, PyObject *args,
                                PyObject *kwds) {
    static const char *kwlist[] = {"runtime", NULL};
    PyObject *runtime_arg = NULL;

    if (!PyArg_ParseTupleAndKeywords(args, kwds, "|O", (char **)kwlist,
                                     &runtime_arg)) {
        return -1;
    }

    if (runtime_arg && runtime_arg != Py_None) {
        if (PyObject_TypeCheck(runtime_arg, &RuntimeType)) {
            Py_INCREF(runtime_arg);
            self->runtime_obj = runtime_arg;
        } else {
            PyObject *native = PyObject_GetAttrString(runtime_arg, "_native");
            if (native && PyObject_TypeCheck(native, &RuntimeType)) {
                self->runtime_obj = native;
            } else {
                Py_XDECREF(native);
                PyErr_SetString(PyExc_TypeError,
                                "runtime must be a Runtime instance or None");
                return -1;
            }
        }
    }

    return 0;
}

static PyObject *StatisticsQuery_query(StatisticsQueryObject *self,
                                       PyObject *args, PyObject *kwds) {
    static const char *kwlist[] = {"file_path", "query_type", "top_n",
                                   "index_dir", NULL};
    const char *file_path;
    const char *query_type_str = "summary";
    Py_ssize_t top_n = 10;
    const char *index_dir = "";

    if (!PyArg_ParseTupleAndKeywords(args, kwds, "s|sns", (char **)kwlist,
                                     &file_path, &query_type_str, &top_n,
                                     &index_dir)) {
        return NULL;
    }

    StatisticsQueryType qt;
    if (strcmp(query_type_str, "summary") == 0) {
        qt = StatisticsQueryType::SUMMARY;
    } else if (strcmp(query_type_str, "categories") == 0) {
        qt = StatisticsQueryType::CATEGORIES;
    } else if (strcmp(query_type_str, "names") == 0) {
        qt = StatisticsQueryType::NAMES;
    } else if (strcmp(query_type_str, "pid_tids") == 0) {
        qt = StatisticsQueryType::PID_TIDS;
    } else if (strcmp(query_type_str, "time_range") == 0) {
        qt = StatisticsQueryType::TIME_RANGE;
    } else if (strcmp(query_type_str, "duration_stats") == 0) {
        qt = StatisticsQueryType::DURATION_STATS;
    } else if (strcmp(query_type_str, "top_n_names") == 0) {
        qt = StatisticsQueryType::TOP_N_NAMES;
    } else if (strcmp(query_type_str, "top_n_categories") == 0) {
        qt = StatisticsQueryType::TOP_N_CATEGORIES;
    } else if (strcmp(query_type_str, "detailed") == 0) {
        qt = StatisticsQueryType::DETAILED;
    } else {
        PyErr_Format(PyExc_ValueError, "unknown query_type: '%s'",
                     query_type_str);
        return NULL;
    }

    std::string file_path_str(file_path);
    std::string index_dir_str(index_dir);
    std::string error_msg;
    TraceStatistics stats;
    StatisticsQueryOutput output;
    auto qt_copy = qt;
    auto top_n_copy = static_cast<std::uint64_t>(top_n);

    Py_BEGIN_ALLOW_THREADS try {
        Runtime *rt = get_runtime(self);

        StatisticsAggregatorInput agg_input;
        agg_input.file_path = file_path_str;
        agg_input.index_dir = index_dir_str;
        agg_input.idx_path = file_path_str + ".idx";

        auto *stats_p = &stats;
        auto agg_task = [stats_p, agg_input]() -> CoroTask<void> {
            StatisticsAggregatorUtility util;
            *stats_p = co_await util.process(agg_input);
        };
        rt->submit(agg_task(), "stats-agg").get();

        StatisticsQueryInput query_input;
        query_input.stats = std::move(stats);
        query_input.query_type = qt_copy;
        query_input.top_n = top_n_copy;

        auto *out_p = &output;
        auto query_task = [out_p, query_input]() -> CoroTask<void> {
            StatisticsQueryUtility util;
            *out_p = co_await util.process(query_input);
        };
        rt->submit(query_task(), "stats-query").get();
    } catch (const std::exception &e) {
        error_msg = e.what();
    }
    Py_END_ALLOW_THREADS

        if (!error_msg.empty()) {
        PyErr_SetString(PyExc_RuntimeError, error_msg.c_str());
        return NULL;
    }

    PyObject *results_list =
        PyList_New(static_cast<Py_ssize_t>(output.results.size()));
    if (!results_list) return NULL;

    for (std::size_t i = 0; i < output.results.size(); ++i) {
        PyObject *tup = PyTuple_New(2);
        if (!tup) {
            Py_DECREF(results_list);
            return NULL;
        }
        PyTuple_SET_ITEM(tup, 0,
                         PyUnicode_FromString(output.results[i].first.c_str()));
        PyTuple_SET_ITEM(tup, 1,
                         PyLong_FromUnsignedLongLong(output.results[i].second));
        PyList_SET_ITEM(results_list, static_cast<Py_ssize_t>(i), tup);
    }

    PyObject *d = PyDict_New();
    if (!d) {
        Py_DECREF(results_list);
        return NULL;
    }

#define SET_STR(k, v)                                    \
    do {                                                 \
        PyObject *_v = PyUnicode_FromString(v);          \
        if (!_v || PyDict_SetItemString(d, k, _v) < 0) { \
            Py_XDECREF(_v);                              \
            Py_DECREF(results_list);                     \
            Py_DECREF(d);                                \
            return NULL;                                 \
        }                                                \
        Py_DECREF(_v);                                   \
    } while (0)

#define SET_ULL(k, v)                                    \
    do {                                                 \
        PyObject *_v = PyLong_FromUnsignedLongLong(v);   \
        if (!_v || PyDict_SetItemString(d, k, _v) < 0) { \
            Py_XDECREF(_v);                              \
            Py_DECREF(results_list);                     \
            Py_DECREF(d);                                \
            return NULL;                                 \
        }                                                \
        Py_DECREF(_v);                                   \
    } while (0)

#define SET_DBL(k, v)                                    \
    do {                                                 \
        PyObject *_v = PyFloat_FromDouble(v);            \
        if (!_v || PyDict_SetItemString(d, k, _v) < 0) { \
            Py_XDECREF(_v);                              \
            Py_DECREF(results_list);                     \
            Py_DECREF(d);                                \
            return NULL;                                 \
        }                                                \
        Py_DECREF(_v);                                   \
    } while (0)

    SET_STR("query_type", output.query_type_name.c_str());
    SET_ULL("total_events", output.total_events);
    SET_ULL("min_timestamp_us", output.min_timestamp_us);
    SET_ULL("max_timestamp_us", output.max_timestamp_us);
    SET_DBL("time_span_seconds", output.time_span_seconds);
    SET_ULL("duration_count", output.duration_count);
    SET_DBL("duration_mean_us", output.duration_mean_us);
    SET_DBL("duration_stddev_us", output.duration_stddev_us);
    SET_ULL("duration_min_us", output.duration_min_us);
    SET_ULL("duration_max_us", output.duration_max_us);

    if (PyDict_SetItemString(d, "results", results_list) < 0) {
        Py_DECREF(results_list);
        Py_DECREF(d);
        return NULL;
    }
    Py_DECREF(results_list);

#undef SET_STR
#undef SET_ULL
#undef SET_DBL

    return d;
}

static PyObject *StatisticsQuery_call(PyObject *self, PyObject *args,
                                      PyObject *kwds) {
    return StatisticsQuery_query((StatisticsQueryObject *)self, args, kwds);
}

static PyMethodDef StatisticsQuery_methods[] = {
    {"process", (PyCFunction)StatisticsQuery_query,
     METH_VARARGS | METH_KEYWORDS,
     "process(file_path, query_type='summary', top_n=10, index_dir='')\n"
     "--\n"
     "\n"
     "Query statistics from an indexed trace file.\n"
     "\n"
     "Args:\n"
     "    file_path (str): Path to the trace file.\n"
     "    query_type (str): Query type (default 'summary'). One of\n"
     "        'summary', 'categories', 'names', 'pid_tids',\n"
     "        'time_range', 'duration_stats', 'top_n_names',\n"
     "        'top_n_categories', 'detailed'.\n"
     "    top_n (int): Top results for ranked queries (default 10).\n"
     "    index_dir (str): Directory for index sidecars (default '').\n"
     "\n"
     "Returns:\n"
     "    dict: Query results.\n"},
    {NULL}};

PyTypeObject StatisticsQueryUtilityType = {
    PyVarObject_HEAD_INIT(
        NULL, 0) "dftracer_utils_ext.StatisticsQueryUtility", /* tp_name */
    sizeof(StatisticsQueryObject),                            /* tp_basicsize */
    0,                                                        /* tp_itemsize */
    (destructor)StatisticsQuery_dealloc,                      /* tp_dealloc */
    0,                                        /* tp_vectorcall_offset */
    0,                                        /* tp_getattr */
    0,                                        /* tp_setattr */
    0,                                        /* tp_as_async */
    0,                                        /* tp_repr */
    0,                                        /* tp_as_number */
    0,                                        /* tp_as_sequence */
    0,                                        /* tp_as_mapping */
    0,                                        /* tp_hash */
    StatisticsQuery_call,                     /* tp_call */
    0,                                        /* tp_str */
    0,                                        /* tp_getattro */
    0,                                        /* tp_setattro */
    0,                                        /* tp_as_buffer */
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /* tp_flags */
    "StatisticsQueryUtility(runtime: Runtime | None = None)\n"
    "--\n\n"
    "Query pre-computed statistics from an indexed trace file.\n\n"
    "Args:\n"
    "    runtime (Runtime or None): Runtime for thread pool control.\n",
    0,                              /* tp_traverse */
    0,                              /* tp_clear */
    0,                              /* tp_richcompare */
    0,                              /* tp_weaklistoffset */
    0,                              /* tp_iter */
    0,                              /* tp_iternext */
    StatisticsQuery_methods,        /* tp_methods */
    0,                              /* tp_members */
    0,                              /* tp_getset */
    0,                              /* tp_base */
    0,                              /* tp_dict */
    0,                              /* tp_descr_get */
    0,                              /* tp_descr_set */
    0,                              /* tp_dictoffset */
    (initproc)StatisticsQuery_init, /* tp_init */
    0,                              /* tp_alloc */
    StatisticsQuery_new,            /* tp_new */
};

int init_statistics_query(PyObject *m) {
    if (PyType_Ready(&StatisticsQueryUtilityType) < 0) return -1;

    Py_INCREF(&StatisticsQueryUtilityType);
    if (PyModule_AddObject(m, "StatisticsQueryUtility",
                           (PyObject *)&StatisticsQueryUtilityType) < 0) {
        Py_DECREF(&StatisticsQueryUtilityType);
        Py_DECREF(m);
        return -1;
    }

    return 0;
}

1	#define PY_SSIZE_T_CLEAN
2	#include <dftracer/utils/core/coro/task.h>
3	#include <dftracer/utils/core/runtime.h>
4	#include <dftracer/utils/python/runtime.h>
5	#include <dftracer/utils/python/utilities/statistics_query.h>
6	#include <dftracer/utils/utilities/composites/dft/statistics/statistics_aggregator_utility.h>
7	#include <dftracer/utils/utilities/composites/dft/statistics/statistics_query_utility.h>
8
9	#include <string>
10
11	using dftracer::utils::Runtime;
12	using dftracer::utils::coro::CoroTask;
13	using namespace dftracer::utils::utilities::composites::dft::statistics;
14
15	static Runtime get_runtime(StatisticsQueryObject self) {	6✔
16	if (self->runtime_obj)	6!
17	return ((RuntimeObject *)self->runtime_obj)->runtime.get();	×
18	return get_default_runtime();	6✔
19	}	6✔
20
21	static void StatisticsQuery_dealloc(StatisticsQueryObject *self) {	6✔
22	Py_XDECREF(self->runtime_obj);	6✔
23	Py_TYPE(self)->tp_free((PyObject *)self);	6✔
24	}	6✔
25
26	static PyObject StatisticsQuery_new(PyTypeObject type, PyObject *args,	6✔
27	PyObject *kwds) {
28	StatisticsQueryObject *self =	6✔
29	(StatisticsQueryObject *)type->tp_alloc(type, 0);	6✔
30	if (self) {	6!
31	self->runtime_obj = NULL;	6✔
32	}	6✔
33	return (PyObject *)self;	6✔
34	}
35
36	static int StatisticsQuery_init(StatisticsQueryObject self, PyObject args,	6✔
37	PyObject *kwds) {
38	static const char *kwlist[] = {"runtime", NULL};
39	PyObject *runtime_arg = NULL;	6✔
40
41	if (!PyArg_ParseTupleAndKeywords(args, kwds, "\|O", (char **)kwlist,	6!
42	&runtime_arg)) {
43	return -1;	×
44	}
45
46	if (runtime_arg && runtime_arg != Py_None) {	6!
47	if (PyObject_TypeCheck(runtime_arg, &RuntimeType)) {	×
48	Py_INCREF(runtime_arg);	×
49	self->runtime_obj = runtime_arg;	×
UNCOV 50	} else {	×
51	PyObject *native = PyObject_GetAttrString(runtime_arg, "_native");	×
52	if (native && PyObject_TypeCheck(native, &RuntimeType)) {	×
53	self->runtime_obj = native;	×
UNCOV 54	} else {	×
55	Py_XDECREF(native);	×
56	PyErr_SetString(PyExc_TypeError,	×
57	"runtime must be a Runtime instance or None");
58	return -1;	×
59	}
60	}
UNCOV 61	}	×
62
63	return 0;	6✔
64	}	6✔
65
66	static PyObject StatisticsQuery_query(StatisticsQueryObject self,	6✔
67	PyObject args, PyObject kwds) {
68	static const char *kwlist[] = {"file_path", "query_type", "top_n",
69	"index_dir", NULL};
70	const char *file_path;
71	const char *query_type_str = "summary";	6✔
72	Py_ssize_t top_n = 10;	6✔
73	const char *index_dir = "";	6✔
74
75	if (!PyArg_ParseTupleAndKeywords(args, kwds, "s\|sns", (char **)kwlist,	6!
76	&file_path, &query_type_str, &top_n,
77	&index_dir)) {
78	return NULL;	×
79	}
80
81	StatisticsQueryType qt;
82	if (strcmp(query_type_str, "summary") == 0) {	6✔
83	qt = StatisticsQueryType::SUMMARY;	2✔
84	} else if (strcmp(query_type_str, "categories") == 0) {	6✔
85	qt = StatisticsQueryType::CATEGORIES;	1✔
86	} else if (strcmp(query_type_str, "names") == 0) {	4✔
87	qt = StatisticsQueryType::NAMES;	1✔
88	} else if (strcmp(query_type_str, "pid_tids") == 0) {	3!
89	qt = StatisticsQueryType::PID_TIDS;	×
90	} else if (strcmp(query_type_str, "time_range") == 0) {	2!
91	qt = StatisticsQueryType::TIME_RANGE;	×
92	} else if (strcmp(query_type_str, "duration_stats") == 0) {	2✔
93	qt = StatisticsQueryType::DURATION_STATS;	1✔
94	} else if (strcmp(query_type_str, "top_n_names") == 0) {	2!
95	qt = StatisticsQueryType::TOP_N_NAMES;	1✔
96	} else if (strcmp(query_type_str, "top_n_categories") == 0) {	1!
97	qt = StatisticsQueryType::TOP_N_CATEGORIES;	×
98	} else if (strcmp(query_type_str, "detailed") == 0) {	×
99	qt = StatisticsQueryType::DETAILED;	×
UNCOV 100	} else {	×
101	PyErr_Format(PyExc_ValueError, "unknown query_type: '%s'",	×
UNCOV 102	query_type_str);	×
103	return NULL;	×
104	}
105
106	std::string file_path_str(file_path);	6✔
107	std::string index_dir_str(index_dir);	6!
108	std::string error_msg;	6✔
109	TraceStatistics stats;	6!
110	StatisticsQueryOutput output;	6✔
111	auto qt_copy = qt;	6✔
112	auto top_n_copy = static_cast<std::uint64_t>(top_n);	6✔
113
114	Py_BEGIN_ALLOW_THREADS try {	6!
115	Runtime *rt = get_runtime(self);	6!
116
117	StatisticsAggregatorInput agg_input;	6✔
118	agg_input.file_path = file_path_str;	6!
119	agg_input.index_dir = index_dir_str;	6!
120	agg_input.idx_path = file_path_str + ".idx";	6!
121
122	auto *stats_p = &stats;	6✔
123	auto agg_task = [stats_p, agg_input]() -> CoroTask<void> {	48!
124	StatisticsAggregatorUtility util;	18!
125	*stats_p = co_await util.process(agg_input);	24!
126	};	18!
127	rt->submit(agg_task(), "stats-agg").get();	6!
128
129	StatisticsQueryInput query_input;	6!
130	query_input.stats = std::move(stats);	6✔
131	query_input.query_type = qt_copy;	6✔
132	query_input.top_n = top_n_copy;	6✔
133
134	auto *out_p = &output;	6✔
135	auto query_task = [out_p, query_input]() -> CoroTask<void> {	48!
136	StatisticsQueryUtility util;	18!
137	*out_p = co_await util.process(query_input);	24!
138	};	18!
139	rt->submit(query_task(), "stats-query").get();	6!
140	} catch (const std::exception &e) {	6!
141	error_msg = e.what();	×
142	}	×
143	Py_END_ALLOW_THREADS	6!
144
145	if (!error_msg.empty()) {	6!
146	PyErr_SetString(PyExc_RuntimeError, error_msg.c_str());	×
147	return NULL;	×
148	}
149
150	PyObject *results_list =	6✔
151	PyList_New(static_cast<Py_ssize_t>(output.results.size()));	6!
152	if (!results_list) return NULL;	6!
153
154	for (std::size_t i = 0; i < output.results.size(); ++i) {	61✔
155	PyObject *tup = PyTuple_New(2);	55!
156	if (!tup) {	55!
UNCOV 157	Py_DECREF(results_list);	×
158	return NULL;	×
159	}
160	PyTuple_SET_ITEM(tup, 0,	55!
161	PyUnicode_FromString(output.results[i].first.c_str()));
162	PyTuple_SET_ITEM(tup, 1,	55!
163	PyLong_FromUnsignedLongLong(output.results[i].second));
164	PyList_SET_ITEM(results_list, static_cast<Py_ssize_t>(i), tup);	55!
165	}	55✔
166
167	PyObject *d = PyDict_New();	6!
168	if (!d) {	6!
UNCOV 169	Py_DECREF(results_list);	×
170	return NULL;	×
171	}
172
173	#define SET_STR(k, v) \
174	do { \
175	PyObject *_v = PyUnicode_FromString(v); \
176	if (!_v \|\| PyDict_SetItemString(d, k, _v) < 0) { \
177	Py_XDECREF(_v); \
178	Py_DECREF(results_list); \
179	Py_DECREF(d); \
180	return NULL; \
181	} \
182	Py_DECREF(_v); \
183	} while (0)
184
185	#define SET_ULL(k, v) \
186	do { \
187	PyObject *_v = PyLong_FromUnsignedLongLong(v); \
188	if (!_v \|\| PyDict_SetItemString(d, k, _v) < 0) { \
189	Py_XDECREF(_v); \
190	Py_DECREF(results_list); \
191	Py_DECREF(d); \
192	return NULL; \
193	} \
194	Py_DECREF(_v); \
195	} while (0)
196
197	#define SET_DBL(k, v) \
198	do { \
199	PyObject *_v = PyFloat_FromDouble(v); \
200	if (!_v \|\| PyDict_SetItemString(d, k, _v) < 0) { \
201	Py_XDECREF(_v); \
202	Py_DECREF(results_list); \
203	Py_DECREF(d); \
204	return NULL; \
205	} \
206	Py_DECREF(_v); \
207	} while (0)
208
209	SET_STR("query_type", output.query_type_name.c_str());	6!
210	SET_ULL("total_events", output.total_events);	6!
211	SET_ULL("min_timestamp_us", output.min_timestamp_us);	6!
212	SET_ULL("max_timestamp_us", output.max_timestamp_us);	6!
213	SET_DBL("time_span_seconds", output.time_span_seconds);	6!
214	SET_ULL("duration_count", output.duration_count);	6!
215	SET_DBL("duration_mean_us", output.duration_mean_us);	6!
216	SET_DBL("duration_stddev_us", output.duration_stddev_us);	6!
217	SET_ULL("duration_min_us", output.duration_min_us);	6!
218	SET_ULL("duration_max_us", output.duration_max_us);	6!
219
220	if (PyDict_SetItemString(d, "results", results_list) < 0) {	6!
UNCOV 221	Py_DECREF(results_list);	×
UNCOV 222	Py_DECREF(d);	×
223	return NULL;	×
224	}
225	Py_DECREF(results_list);	6!
226
227	#undef SET_STR
228	#undef SET_ULL
229	#undef SET_DBL
230
231	return d;	6✔
232	}	6✔
233
234	static PyObject StatisticsQuery_call(PyObject self, PyObject *args,	1✔
235	PyObject *kwds) {
236	return StatisticsQuery_query((StatisticsQueryObject *)self, args, kwds);	1✔
237	}
238
239	static PyMethodDef StatisticsQuery_methods[] = {
240	{"process", (PyCFunction)StatisticsQuery_query,
241	METH_VARARGS \| METH_KEYWORDS,
242	"process(file_path, query_type='summary', top_n=10, index_dir='')\n"
243	"--\n"
244	"\n"
245	"Query statistics from an indexed trace file.\n"
246	"\n"
247	"Args:\n"
248	" file_path (str): Path to the trace file.\n"
249	" query_type (str): Query type (default 'summary'). One of\n"
250	" 'summary', 'categories', 'names', 'pid_tids',\n"
251	" 'time_range', 'duration_stats', 'top_n_names',\n"
252	" 'top_n_categories', 'detailed'.\n"
253	" top_n (int): Top results for ranked queries (default 10).\n"
254	" index_dir (str): Directory for index sidecars (default '').\n"
255	"\n"
256	"Returns:\n"
257	" dict: Query results.\n"},
258	{NULL}};
259
260	PyTypeObject StatisticsQueryUtilityType = {
261	PyVarObject_HEAD_INIT(
262	NULL, 0) "dftracer_utils_ext.StatisticsQueryUtility", /* tp_name */
263	sizeof(StatisticsQueryObject), /* tp_basicsize */
264	0, /* tp_itemsize */
265	(destructor)StatisticsQuery_dealloc, /* tp_dealloc */
266	0, /* tp_vectorcall_offset */
267	0, /* tp_getattr */
268	0, /* tp_setattr */
269	0, /* tp_as_async */
270	0, /* tp_repr */
271	0, /* tp_as_number */
272	0, /* tp_as_sequence */
273	0, /* tp_as_mapping */
274	0, /* tp_hash */
275	StatisticsQuery_call, /* tp_call */
276	0, /* tp_str */
277	0, /* tp_getattro */
278	0, /* tp_setattro */
279	0, /* tp_as_buffer */
280	Py_TPFLAGS_DEFAULT \| Py_TPFLAGS_BASETYPE, /* tp_flags */
281	"StatisticsQueryUtility(runtime: Runtime \| None = None)\n"
282	"--\n\n"
283	"Query pre-computed statistics from an indexed trace file.\n\n"
284	"Args:\n"
285	" runtime (Runtime or None): Runtime for thread pool control.\n",
286	0, /* tp_traverse */
287	0, /* tp_clear */
288	0, /* tp_richcompare */
289	0, /* tp_weaklistoffset */
290	0, /* tp_iter */
291	0, /* tp_iternext */
292	StatisticsQuery_methods, /* tp_methods */
293	0, /* tp_members */
294	0, /* tp_getset */
295	0, /* tp_base */
296	0, /* tp_dict */
297	0, /* tp_descr_get */
298	0, /* tp_descr_set */
299	0, /* tp_dictoffset */
300	(initproc)StatisticsQuery_init, /* tp_init */
301	0, /* tp_alloc */
302	StatisticsQuery_new, /* tp_new */
303	};
304
305	int init_statistics_query(PyObject *m) {	1✔
306	if (PyType_Ready(&StatisticsQueryUtilityType) < 0) return -1;	1!
307
308	Py_INCREF(&StatisticsQueryUtilityType);	1✔
309	if (PyModule_AddObject(m, "StatisticsQueryUtility",	2!
310	(PyObject *)&StatisticsQueryUtilityType) < 0) {	1✔
UNCOV 311	Py_DECREF(&StatisticsQueryUtilityType);	×
UNCOV 312	Py_DECREF(m);	×
313	return -1;	×
314	}
315
316	return 0;	1✔
317	}	1✔

llnl / dftracer-utils / 23531027933

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