Python-2.7/Include/objimpl.h at master · PeachPy/Python-2.7 · GitHub

Repository navigation

History

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

205

206

207

208

209

210

211

212

213

214

215

216

217

218

219

220

221

222

223

224

225

226

227

228

229

230

231

232

233

234

235

236

237

238

239

240

241

242

243

244

245

246

247

248

249

250

251

252

253

254

255

256

257

258

259

260

261

262

263

264

265

266

267

268

269

270

271

272

273

274

275

276

277

278

279

280

281

282

283

284

285

286

287

288

289

290

291

292

293

294

295

296

297

298

299

300

301

302

303

304

305

306

307

308

309

310

311

312

313

314

315

316

317

318

319

320

321

322

323

324

325

326

327

328

329

330

331

332

333

334

335

336

337

338

339

340

341

342

343

344

345

346

347

348

349

350

351

352

353

354

/* The PyObject_ memory family: high-level object memory interfaces.

See pymem.h for the low-level PyMem_ family.

#ifndef Py_OBJIMPL_H

#define Py_OBJIMPL_H

#include "pymem.h"

#ifdef __cplusplus

extern "C" {

#endif

/* BEWARE:

Each interface exports both functions and macros. Extension modules should

use the functions, to ensure binary compatibility across Python versions.

Because the Python implementation is free to change internal details, and

the macros may (or may not) expose details for speed, if you do use the

macros you must recompile your extensions with each Python release.

Never mix calls to PyObject_ memory functions with calls to the platform

malloc/realloc/ calloc/free, or with calls to PyMem_.

Functions and macros for modules that implement new object types.

- PyObject_New(type, typeobj) allocates memory for a new object of the given

type, and initializes part of it. 'type' must be the C structure type used

to represent the object, and 'typeobj' the address of the corresponding

type object. Reference count and type pointer are filled in; the rest of

the bytes of the object are *undefined*! The resulting expression type is

'type *'. The size of the object is determined by the tp_basicsize field

of the type object.

- PyObject_NewVar(type, typeobj, n) is similar but allocates a variable-size

object with room for n items. In addition to the refcount and type pointer

fields, this also fills in the ob_size field.

- PyObject_Del(op) releases the memory allocated for an object. It does not

run a destructor -- it only frees the memory. PyObject_Free is identical.

- PyObject_Init(op, typeobj) and PyObject_InitVar(op, typeobj, n) don't

allocate memory. Instead of a 'type' parameter, they take a pointer to a

new object (allocated by an arbitrary allocator), and initialize its object

header fields.

Note that objects created with PyObject_{New, NewVar} are allocated using the

specialized Python allocator (implemented in obmalloc.c), if WITH_PYMALLOC is

enabled. In addition, a special debugging allocator is used if PYMALLOC_DEBUG

is also #defined.

In case a specific form of memory management is needed (for example, if you

must use the platform malloc heap(s), or shared memory, or C++ local storage or

operator new), you must first allocate the object with your custom allocator,

then pass its pointer to PyObject_{Init, InitVar} for filling in its Python-

specific fields: reference count, type pointer, possibly others. You should

be aware that Python no control over these objects because they don't

cooperate with the Python memory manager. Such objects may not be eligible

for automatic garbage collection and you have to make sure that they are

released accordingly whenever their destructor gets called (cf. the specific

form of memory management you're using).

Unless you have specific memory management requirements, use

PyObject_{New, NewVar, Del}.

* Raw object memory interface

* ===========================

/* Functions to call the same malloc/realloc/free as used by Python's

object allocator. If WITH_PYMALLOC is enabled, these may differ from

the platform malloc/realloc/free. The Python object allocator is

designed for fast, cache-conscious allocation of many "small" objects,

and with low hidden memory overhead.

PyObject_Malloc(0) returns a unique non-NULL pointer if possible.

PyObject_Realloc(NULL, n) acts like PyObject_Malloc(n).

PyObject_Realloc(p != NULL, 0) does not return NULL, or free the memory

at p.

Returned pointers must be checked for NULL explicitly; no action is

performed on failure other than to return NULL (no warning it printed, no

exception is set, etc).

For allocating objects, use PyObject_{New, NewVar} instead whenever

possible. The PyObject_{Malloc, Realloc, Free} family is exposed

so that you can exploit Python's small-block allocator for non-object

uses. If you must use these routines to allocate object memory, make sure

the object gets initialized via PyObject_{Init, InitVar} after obtaining

the raw memory.

PyAPI_FUNC(void *) PyObject_Malloc(size_t);

PyAPI_FUNC(void *) PyObject_Realloc(void *, size_t);

PyAPI_FUNC(void) PyObject_Free(void *);

/* Macros */

#ifdef WITH_PYMALLOC

#ifdef PYMALLOC_DEBUG /* WITH_PYMALLOC && PYMALLOC_DEBUG */

PyAPI_FUNC(void *) _PyObject_DebugMalloc(size_t nbytes);

PyAPI_FUNC(void *) _PyObject_DebugRealloc(void *p, size_t nbytes);

PyAPI_FUNC(void) _PyObject_DebugFree(void *p);

PyAPI_FUNC(void) _PyObject_DebugDumpAddress(const void *p);

PyAPI_FUNC(void) _PyObject_DebugCheckAddress(const void *p);

PyAPI_FUNC(void) _PyObject_DebugMallocStats(void);

PyAPI_FUNC(void *) _PyObject_DebugMallocApi(char api, size_t nbytes);

PyAPI_FUNC(void *) _PyObject_DebugReallocApi(char api, void *p, size_t nbytes);

PyAPI_FUNC(void) _PyObject_DebugFreeApi(char api, void *p);

PyAPI_FUNC(void) _PyObject_DebugCheckAddressApi(char api, const void *p);

PyAPI_FUNC(void *) _PyMem_DebugMalloc(size_t nbytes);

PyAPI_FUNC(void *) _PyMem_DebugRealloc(void *p, size_t nbytes);

PyAPI_FUNC(void) _PyMem_DebugFree(void *p);

#define PyObject_MALLOC _PyObject_DebugMalloc

#define PyObject_Malloc _PyObject_DebugMalloc

#define PyObject_REALLOC _PyObject_DebugRealloc

#define PyObject_Realloc _PyObject_DebugRealloc

#define PyObject_FREE _PyObject_DebugFree

#define PyObject_Free _PyObject_DebugFree

#else /* WITH_PYMALLOC && ! PYMALLOC_DEBUG */

#define PyObject_MALLOC PyObject_Malloc

#define PyObject_REALLOC PyObject_Realloc

#define PyObject_FREE PyObject_Free

#endif

#else /* ! WITH_PYMALLOC */

#define PyObject_MALLOC PyMem_MALLOC

#define PyObject_REALLOC PyMem_REALLOC

#define PyObject_FREE PyMem_FREE

#endif /* WITH_PYMALLOC */

#define PyObject_Del PyObject_Free

#define PyObject_DEL PyObject_FREE

/* for source compatibility with 2.2 */

#define _PyObject_Del PyObject_Free

* Generic object allocator interface

* ==================================

/* Functions */

PyAPI_FUNC(PyObject *) PyObject_Init(PyObject *, PyTypeObject *);

PyAPI_FUNC(PyVarObject *) PyObject_InitVar(PyVarObject *,

PyTypeObject *, Py_ssize_t);

PyAPI_FUNC(PyObject *) _PyObject_New(PyTypeObject *);

PyAPI_FUNC(PyVarObject *) _PyObject_NewVar(PyTypeObject *, Py_ssize_t);

#define PyObject_New(type, typeobj) \

( (type *) _PyObject_New(typeobj) )

#define PyObject_NewVar(type, typeobj, n) \

( (type *) _PyObject_NewVar((typeobj), (n)) )

/* Macros trading binary compatibility for speed. See also pymem.h.

Note that these macros expect non-NULL object pointers.*/

#define PyObject_INIT(op, typeobj) \

( Py_TYPE(op) = (typeobj), _Py_NewReference((PyObject *)(op)), (op) )

#define PyObject_INIT_VAR(op, typeobj, size) \

( Py_SIZE(op) = (size), PyObject_INIT((op), (typeobj)) )

#define _PyObject_SIZE(typeobj) ( (typeobj)->tp_basicsize )

/* _PyObject_VAR_SIZE returns the number of bytes (as size_t) allocated for a

vrbl-size object with nitems items, exclusive of gc overhead (if any). The

value is rounded up to the closest multiple of sizeof(void *), in order to

ensure that pointer fields at the end of the object are correctly aligned

for the platform (this is of special importance for subclasses of, e.g.,

str or long, so that pointers can be stored after the embedded data).

Note that there's no memory wastage in doing this, as malloc has to

return (at worst) pointer-aligned memory anyway.

#if ((SIZEOF_VOID_P - 1) & SIZEOF_VOID_P) != 0

# error "_PyObject_VAR_SIZE requires SIZEOF_VOID_P be a power of 2"

#endif

#define _PyObject_VAR_SIZE(typeobj, nitems) \

(size_t) \

( ( (typeobj)->tp_basicsize + \

(nitems)*(typeobj)->tp_itemsize + \

(SIZEOF_VOID_P - 1) \

) & ~(SIZEOF_VOID_P - 1) \

)

#define PyObject_NEW(type, typeobj) \

( (type *) PyObject_Init( \

(PyObject *) PyObject_MALLOC( _PyObject_SIZE(typeobj) ), (typeobj)) )

#define PyObject_NEW_VAR(type, typeobj, n) \

( (type *) PyObject_InitVar( \

(PyVarObject *) PyObject_MALLOC(_PyObject_VAR_SIZE((typeobj),(n)) ),\

(typeobj), (n)) )

/* This example code implements an object constructor with a custom

allocator, where PyObject_New is inlined, and shows the important

distinction between two steps (at least):

1) the actual allocation of the object storage;

2) the initialization of the Python specific fields

in this storage with PyObject_{Init, InitVar}.

PyObject *

YourObject_New(...)

{

PyObject *op;

op = (PyObject *) Your_Allocator(_PyObject_SIZE(YourTypeStruct));

if (op == NULL)

return PyErr_NoMemory();

PyObject_Init(op, &YourTypeStruct);

op->ob_field = value;

...

return op;

}

Note that in C++, the use of the new operator usually implies that

the 1st step is performed automatically for you, so in a C++ class

constructor you would start directly with PyObject_Init/InitVar

* Garbage Collection Support

* ==========================

/* C equivalent of gc.collect(). */

PyAPI_FUNC(Py_ssize_t) PyGC_Collect(void);

/* Test if a type has a GC head */

#define PyType_IS_GC(t) PyType_HasFeature((t), Py_TPFLAGS_HAVE_GC)

/* Test if an object has a GC head */

#define PyObject_IS_GC(o) (PyType_IS_GC(Py_TYPE(o)) && \

(Py_TYPE(o)->tp_is_gc == NULL || Py_TYPE(o)->tp_is_gc(o)))

PyAPI_FUNC(PyVarObject *) _PyObject_GC_Resize(PyVarObject *, Py_ssize_t);

#define PyObject_GC_Resize(type, op, n) \

( (type *) _PyObject_GC_Resize((PyVarObject *)(op), (n)) )

/* for source compatibility with 2.2 */

#define _PyObject_GC_Del PyObject_GC_Del

/* GC information is stored BEFORE the object structure. */

typedef union _gc_head {

struct {

union _gc_head *gc_next;

union _gc_head *gc_prev;

Py_ssize_t gc_refs;

} gc;

long double dummy; /* force worst-case alignment */

} PyGC_Head;

extern PyGC_Head *_PyGC_generation0;

#define _Py_AS_GC(o) ((PyGC_Head *)(o)-1)

#define _PyGC_REFS_UNTRACKED (-2)

#define _PyGC_REFS_REACHABLE (-3)

#define _PyGC_REFS_TENTATIVELY_UNREACHABLE (-4)

/* Tell the GC to track this object. NB: While the object is tracked the

* collector it must be safe to call the ob_traverse method. */

#define _PyObject_GC_TRACK(o) do { \

PyGC_Head *g = _Py_AS_GC(o); \

if (g->gc.gc_refs != _PyGC_REFS_UNTRACKED) \

Py_FatalError("GC object already tracked"); \

g->gc.gc_refs = _PyGC_REFS_REACHABLE; \

g->gc.gc_next = _PyGC_generation0; \

g->gc.gc_prev = _PyGC_generation0->gc.gc_prev; \

g->gc.gc_prev->gc.gc_next = g; \

_PyGC_generation0->gc.gc_prev = g; \

} while (0);

/* Tell the GC to stop tracking this object.

* gc_next doesn't need to be set to NULL, but doing so is a good

* way to provoke memory errors if calling code is confused.

#define _PyObject_GC_UNTRACK(o) do { \

PyGC_Head *g = _Py_AS_GC(o); \

assert(g->gc.gc_refs != _PyGC_REFS_UNTRACKED); \

g->gc.gc_refs = _PyGC_REFS_UNTRACKED; \

g->gc.gc_prev->gc.gc_next = g->gc.gc_next; \

g->gc.gc_next->gc.gc_prev = g->gc.gc_prev; \

g->gc.gc_next = NULL; \

} while (0);

/* True if the object is currently tracked by the GC. */

#define _PyObject_GC_IS_TRACKED(o) \

((_Py_AS_GC(o))->gc.gc_refs != _PyGC_REFS_UNTRACKED)

/* True if the object may be tracked by the GC in the future, or already is.

This can be useful to implement some optimizations. */

#define _PyObject_GC_MAY_BE_TRACKED(obj) \

(PyObject_IS_GC(obj) && \

(!PyTuple_CheckExact(obj) || _PyObject_GC_IS_TRACKED(obj)))

PyAPI_FUNC(PyObject *) _PyObject_GC_Malloc(size_t);

PyAPI_FUNC(PyObject *) _PyObject_GC_New(PyTypeObject *);

PyAPI_FUNC(PyVarObject *) _PyObject_GC_NewVar(PyTypeObject *, Py_ssize_t);

PyAPI_FUNC(void) PyObject_GC_Track(void *);

PyAPI_FUNC(void) PyObject_GC_UnTrack(void *);

PyAPI_FUNC(void) PyObject_GC_Del(void *);

#define PyObject_GC_New(type, typeobj) \

( (type *) _PyObject_GC_New(typeobj) )

#define PyObject_GC_NewVar(type, typeobj, n) \

( (type *) _PyObject_GC_NewVar((typeobj), (n)) )

/* Utility macro to help write tp_traverse functions.

* To use this macro, the tp_traverse function must name its arguments

* "visit" and "arg". This is intended to keep tp_traverse functions

* looking as much alike as possible.

#define Py_VISIT(op) \

do { \

if (op) { \

int vret = visit((PyObject *)(op), arg); \

if (vret) \

return vret; \

} \

} while (0)

/* This is here for the sake of backwards compatibility. Extensions that

* use the old GC API will still compile but the objects will not be

* tracked by the GC. */

#define PyGC_HEAD_SIZE 0

#define PyObject_GC_Init(op)

#define PyObject_GC_Fini(op)

#define PyObject_AS_GC(op) (op)

#define PyObject_FROM_GC(op) (op)

/* Test if a type supports weak references */

#define PyType_SUPPORTS_WEAKREFS(t) \

(PyType_HasFeature((t), Py_TPFLAGS_HAVE_WEAKREFS) \

&& ((t)->tp_weaklistoffset > 0))

#define PyObject_GET_WEAKREFS_LISTPTR(o) \

((PyObject **) (((char *) (o)) + Py_TYPE(o)->tp_weaklistoffset))

#ifdef __cplusplus

}

#endif

#endif /* !Py_OBJIMPL_H */

Python-2.7/Include/objimpl.h at master · PeachPy/Python-2.7 · GitHub

Repository navigation

Expand file tree

Breadcrumbs

objimpl.h

Latest commit

History

Breadcrumbs

objimpl.h

File metadata and controls