开源 企业版 高校版 私有云 模力方舟 AI 队友
代码拉取完成,页面将自动刷新
捐赠
捐赠前请先登录
扫描微信二维码支付
取消
支付完成
支付提示
将跳转至支付宝完成支付
确定
取消
3 Star 12 Fork 10

精易科技/PythonFne

加入 Gitee
与超过 1400万 开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :)
免费加入
已有帐号? 立即登录
文件
master
分支 (1)
master
该仓库未声明开源许可证文件(LICENSE),使用请关注具体项目描述及其代码上游依赖。
项目仓库所选许可证以仓库主分支所使用许可证为准
master
分支 (1)
master
克隆/下载
克隆/下载
提示
下载代码请复制以下命令到终端执行
为确保你提交的代码身份被 Gitee 正确识别,请执行以下命令完成配置
初次使用 SSH 协议进行代码克隆、推送等操作时,需按下述提示完成 SSH 配置
1 生成 RSA 密钥
2 获取 RSA 公钥内容,并配置到 SSH公钥
在 Gitee 上使用 SVN,请访问 使用指南
使用 HTTPS 协议时,命令行会出现如下账号密码验证步骤。基于安全考虑,Gitee 建议 配置并使用私人令牌 替代登录密码进行克隆、推送等操作
Username for 'https://gitee.com': userName
Password for 'https://userName@gitee.com': # 私人令牌
master
分支 (1)
master
pymem.h 5.43 KB
一键复制 编辑 原始数据 按行查看 历史
精易科技 提交于 2023年09月20日 09:27 +08:00 . commit message
/* The PyMem_ family: low-level memory allocation interfaces.
See objimpl.h for the PyObject_ memory family.
*/
#ifndef Py_PYMEM_H
#define Py_PYMEM_H
#include "pyport.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 PyMem_ with calls to the platform malloc/realloc/
calloc/free. For example, on Windows different DLLs may end up using
different heaps, and if you use PyMem_Malloc you'll get the memory from the
heap used by the Python DLL; it could be a disaster if you free()'ed that
directly in your own extension. Using PyMem_Free instead ensures Python
can return the memory to the proper heap. As another example, in
PYMALLOC_DEBUG mode, Python wraps all calls to all PyMem_ and PyObject_
memory functions in special debugging wrappers that add additional
debugging info to dynamic memory blocks. The system routines have no idea
what to do with that stuff, and the Python wrappers have no idea what to do
with raw blocks obtained directly by the system routines then.
The GIL must be held when using these APIs.
*/
/*
* Raw memory interface
* ====================
*/
/* Functions
Functions supplying platform-independent semantics for malloc/realloc/
free. These functions make sure that allocating 0 bytes returns a distinct
non-NULL pointer (whenever possible -- if we're flat out of memory, NULL
may be returned), even if the platform malloc and realloc don't.
Returned pointers must be checked for NULL explicitly. No action is
performed on failure (no exception is set, no warning is printed, etc).
*/
PyAPI_FUNC(void *) PyMem_Malloc(size_t size);
PyAPI_FUNC(void *) PyMem_Realloc(void *ptr, size_t new_size);
PyAPI_FUNC(void) PyMem_Free(void *ptr);
/* Macros. */
/* PyMem_MALLOC(0) means malloc(1). Some systems would return NULL
for malloc(0), which would be treated as an error. Some platforms
would return a pointer with no memory behind it, which would break
pymalloc. To solve these problems, allocate an extra byte. */
/* Returns NULL to indicate error if a negative size or size larger than
Py_ssize_t can represent is supplied. Helps prevents security holes. */
#define PyMem_MALLOC(n) PyMem_Malloc(n)
#define PyMem_REALLOC(p, n) PyMem_Realloc(p, n)
#define PyMem_FREE(p) PyMem_Free(p)
/*
* Type-oriented memory interface
* ==============================
*
* Allocate memory for n objects of the given type. Returns a new pointer
* or NULL if the request was too large or memory allocation failed. Use
* these macros rather than doing the multiplication yourself so that proper
* overflow checking is always done.
*/
#define PyMem_New(type, n) \
( ((size_t)(n) > PY_SSIZE_T_MAX / sizeof(type)) ? NULL : \
( (type *) PyMem_Malloc((n) * sizeof(type)) ) )
#define PyMem_NEW(type, n) \
( ((size_t)(n) > PY_SSIZE_T_MAX / sizeof(type)) ? NULL : \
( (type *) PyMem_MALLOC((n) * sizeof(type)) ) )
/*
* The value of (p) is always clobbered by this macro regardless of success.
* The caller MUST check if (p) is NULL afterwards and deal with the memory
* error if so. This means the original value of (p) MUST be saved for the
* caller's memory error handler to not lose track of it.
*/
#define PyMem_Resize(p, type, n) \
( (p) = ((size_t)(n) > PY_SSIZE_T_MAX / sizeof(type)) ? NULL : \
(type *) PyMem_Realloc((p), (n) * sizeof(type)) )
#define PyMem_RESIZE(p, type, n) \
( (p) = ((size_t)(n) > PY_SSIZE_T_MAX / sizeof(type)) ? NULL : \
(type *) PyMem_REALLOC((p), (n) * sizeof(type)) )
/* PyMem{Del,DEL} are left over from ancient days, and shouldn't be used
* anymore. They're just confusing aliases for PyMem_{Free,FREE} now.
*/
#define PyMem_Del PyMem_Free
#define PyMem_DEL PyMem_FREE
/* bpo-35053: expose _Py_tracemalloc_config for performance:
_Py_NewReference() needs an efficient check to test if tracemalloc is
tracing.
It has to be defined in pymem.h, before object.h is included. */
struct _PyTraceMalloc_Config {
/* Module initialized?
Variable protected by the GIL */
enum {
TRACEMALLOC_NOT_INITIALIZED,
TRACEMALLOC_INITIALIZED,
TRACEMALLOC_FINALIZED
} initialized;
/* Is tracemalloc tracing memory allocations?
Variable protected by the GIL */
int tracing;
/* limit of the number of frames in a traceback, 1 by default.
Variable protected by the GIL. */
int max_nframe;
/* use domain in trace key?
Variable protected by the GIL. */
int use_domain;
};
PyAPI_DATA(struct _PyTraceMalloc_Config) _Py_tracemalloc_config;
#define _PyTraceMalloc_Config_INIT \
{.initialized = TRACEMALLOC_NOT_INITIALIZED, \
.tracing = 0, \
.max_nframe = 1, \
.use_domain = 0}
#ifndef Py_LIMITED_API
# define Py_CPYTHON_PYMEM_H
# include "cpython/pymem.h"
# undef Py_CPYTHON_PYMEM_H
#endif
#ifdef __cplusplus
}
#endif
#endif /* !Py_PYMEM_H */
Loading...
举报
举报成功
我们将于2个工作日内通过站内信反馈结果给你!
请认真填写举报原因,尽可能描述详细。
请选择举报类型
取消
发送
误判申诉

此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。

如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。

取消
提交

简介

该支持库为易语言调用并执行Python代码、文件提供了支持。
取消

发行版

暂无发行版

贡献者

全部

近期动态

不能加载更多了
编辑仓库简介
简介内容
主页
马建仓 AI 助手
尝试更多
代码解读
代码找茬
代码优化
C++
1
https://gitee.com/JYtechnology/python-fne.git
git@gitee.com:JYtechnology/python-fne.git
JYtechnology
python-fne
PythonFne
master
点此查找更多帮助

搜索帮助

评论
仓库举报
回到顶部
登录提示
该操作需登录 Gitee 帐号,请先登录后再操作。
立即登录
没有帐号,去注册

AltStyle によって変換されたページ (->オリジナル) /