===========
NumPy C-API
===========
::
unsigned int
PyArray_GetNDArrayCVersion(void )
Included at the very first so not auto-grabbed and thus not labeled.
::
int
PyArray_SetNumericOps(PyObject *dict)
Set internal structure with number functions that all arrays will use
::
PyObject *
PyArray_GetNumericOps(void )
Get dictionary showing number functions that all arrays will use
::
int
PyArray_INCREF(PyArrayObject *mp)
For object arrays, increment all internal references.
::
int
PyArray_XDECREF(PyArrayObject *mp)
Decrement all internal references for object arrays.
(or arrays with object fields)
::
void
PyArray_SetStringFunction(PyObject *op, int repr)
Set the array print function to be a Python function.
::
PyArray_Descr *
PyArray_DescrFromType(int type)
Get the PyArray_Descr structure for a type.
::
PyObject *
PyArray_TypeObjectFromType(int type)
Get a typeobject from a type-number -- can return NULL.
New reference
::
char *
PyArray_Zero(PyArrayObject *arr)
Get pointer to zero of correct type for array.
::
char *
PyArray_One(PyArrayObject *arr)
Get pointer to one of correct type for array
::
PyObject *
PyArray_CastToType(PyArrayObject *arr, PyArray_Descr *dtype, int
is_f_order)
For backward compatibility
Cast an array using typecode structure.
steals reference to dtype --- cannot be NULL
This function always makes a copy of arr, even if the dtype
doesn't change.
::
int
PyArray_CastTo(PyArrayObject *out, PyArrayObject *mp)
Cast to an already created array.
::
int
PyArray_CastAnyTo(PyArrayObject *out, PyArrayObject *mp)
Cast to an already created array. Arrays don't have to be "broadcastable"
Only requirement is they have the same number of elements.
::
int
PyArray_CanCastSafely(int fromtype, int totype)
Check the type coercion rules.
::
npy_bool
PyArray_CanCastTo(PyArray_Descr *from, PyArray_Descr *to)
leaves reference count alone --- cannot be NULL
PyArray_CanCastTypeTo is equivalent to this, but adds a 'casting'
parameter.
::
int
PyArray_ObjectType(PyObject *op, int minimum_type)
Return the typecode of the array a Python object would be converted to
Returns the type number the result should have, or NPY_NOTYPE on error.
::
PyArray_Descr *
PyArray_DescrFromObject(PyObject *op, PyArray_Descr *mintype)
new reference -- accepts NULL for mintype
::
PyArrayObject **
PyArray_ConvertToCommonType(PyObject *op, int *retn)
::
PyArray_Descr *
PyArray_DescrFromScalar(PyObject *sc)
Return descr object from array scalar.
New reference
::
PyArray_Descr *
PyArray_DescrFromTypeObject(PyObject *type)
::
npy_intp
PyArray_Size(PyObject *op)
Compute the size of an array (in number of items)
::
PyObject *
PyArray_Scalar(void *data, PyArray_Descr *descr, PyObject *base)
Get scalar-equivalent to a region of memory described by a descriptor.
::
PyObject *
PyArray_FromScalar(PyObject *scalar, PyArray_Descr *outcode)
Get 0-dim array from scalar
0-dim array from array-scalar object
always contains a copy of the data
unless outcode is NULL, it is of void type and the referrer does
not own it either.
steals reference to outcode
::
void
PyArray_ScalarAsCtype(PyObject *scalar, void *ctypeptr)
Convert to c-type
no error checking is performed -- ctypeptr must be same type as scalar
in case of flexible type, the data is not copied
into ctypeptr which is expected to be a pointer to pointer
::
int
PyArray_CastScalarToCtype(PyObject *scalar, void
*ctypeptr, PyArray_Descr *outcode)
Cast Scalar to c-type
The output buffer must be large-enough to receive the value
Even for flexible types which is different from ScalarAsCtype
where only a reference for flexible types is returned
This may not work right on narrow builds for NumPy unicode scalars.
::
int
PyArray_CastScalarDirect(PyObject *scalar, PyArray_Descr
*indescr, void *ctypeptr, int outtype)
Cast Scalar to c-type
::
PyObject *
PyArray_ScalarFromObject(PyObject *object)
Get an Array Scalar From a Python Object
Returns NULL if unsuccessful but error is only set if another error occurred.
Currently only Numeric-like object supported.
::
PyArray_VectorUnaryFunc *
PyArray_GetCastFunc(PyArray_Descr *descr, int type_num)
Get a cast function to cast from the input descriptor to the
output type_number (must be a registered data-type).
Returns NULL if un-successful.
::
PyObject *
PyArray_FromDims(int nd, int *d, int type)
Construct an empty array from dimensions and typenum
::
PyObject *
PyArray_FromDimsAndDataAndDescr(int nd, int *d, PyArray_Descr
*descr, char *data)
Like FromDimsAndData but uses the Descr structure instead of typecode
as input.
::
PyObject *
PyArray_FromAny(PyObject *op, PyArray_Descr *newtype, int
min_depth, int max_depth, int flags, PyObject
*context)
Does not check for NPY_ARRAY_ENSURECOPY and NPY_ARRAY_NOTSWAPPED in flags
Steals a reference to newtype --- which can be NULL
::
PyObject *
PyArray_EnsureArray(PyObject *op)
This is a quick wrapper around
PyArray_FromAny(op, NULL, 0, 0, NPY_ARRAY_ENSUREARRAY, NULL)
that special cases Arrays and PyArray_Scalars up front
It *steals a reference* to the object
It also guarantees that the result is PyArray_Type
Because it decrefs op if any conversion needs to take place
so it can be used like PyArray_EnsureArray(some_function(...))
::
PyObject *
PyArray_EnsureAnyArray(PyObject *op)
::
PyObject *
PyArray_FromFile(FILE *fp, PyArray_Descr *dtype, npy_intp num, char
*sep)
Given a ``FILE *`` pointer ``fp``, and a ``PyArray_Descr``, return an
array corresponding to the data encoded in that file.
If the dtype is NULL, the default array type is used (double).
If non-null, the reference is stolen and if dtype->subarray is true dtype
will be decrefed even on success.
The number of elements to read is given as ``num``; if it is < 0, then
then as many as possible are read.
If ``sep`` is NULL or empty, then binary data is assumed, else
text data, with ``sep`` as the separator between elements. Whitespace in
the separator matches any length of whitespace in the text, and a match
for whitespace around the separator is added.
For memory-mapped files, use the buffer interface. No more data than
necessary is read by this routine.
::
PyObject *
PyArray_FromString(char *data, npy_intp slen, PyArray_Descr
*dtype, npy_intp num, char *sep)
Given a pointer to a string ``data``, a string length ``slen``, and
a ``PyArray_Descr``, return an array corresponding to the data
encoded in that string.
If the dtype is NULL, the default array type is used (double).
If non-null, the reference is stolen.
If ``slen`` is < 0, then the end of string is used for text data.
It is an error for ``slen`` to be < 0 for binary data (since embedded NULLs
would be the norm).
The number of elements to read is given as ``num``; if it is < 0, then
then as many as possible are read.
If ``sep`` is NULL or empty, then binary data is assumed, else
text data, with ``sep`` as the separator between elements. Whitespace in
the separator matches any length of whitespace in the text, and a match
for whitespace around the separator is added.
::
PyObject *
PyArray_FromBuffer(PyObject *buf, PyArray_Descr *type, npy_intp
count, npy_intp offset)
::
PyObject *
PyArray_FromIter(PyObject *obj, PyArray_Descr *dtype, npy_intp count)
steals a reference to dtype (which cannot be NULL)
::
PyObject *
PyArray_Return(PyArrayObject *mp)
Return either an array or the appropriate Python object if the array
is 0d and matches a Python type.
steals reference to mp
::
PyObject *
PyArray_GetField(PyArrayObject *self, PyArray_Descr *typed, int
offset)
Get
没有合适的资源?快使用搜索试试~ 我知道了~
softi-FuPan.zip
共2911个文件
py:2086个
h:107个
txt:77个
需积分: 1 18 下载量 177 浏览量
2020-06-04
09:09:18
上传
评论 2
收藏 53.52MB ZIP 举报
温馨提示
你们要的选gu宝的操作文件,我终于找到了,当初在码云仓库里放了一份哈,看了一下,有些代码还有一点点逻辑上的问题,不过不影响使用,你们可以研究一下
资源推荐
资源详情
资源评论
收起资源包目录
softi-FuPan.zip (2911个子文件)
activate 2KB
Helvetica-Oblique.afm 73KB
Helvetica.afm 73KB
Helvetica-BoldOblique.afm 68KB
Helvetica-Bold.afm 68KB
Times-Italic.afm 65KB
Times-Bold.afm 63KB
Times-Roman.afm 59KB
Times-BoldItalic.afm 58KB
putr8a.afm 22KB
putbi8a.afm 21KB
putri8a.afm 21KB
putb8a.afm 21KB
ptmbi8a.afm 18KB
ptmri8a.afm 18KB
ptmb8a.afm 18KB
ptmr8a.afm 18KB
phvro8a.afm 17KB
phvro8an.afm 17KB
phvr8a.afm 17KB
phvr8an.afm 17KB
pncbi8a.afm 17KB
pagko8a.afm 17KB
pagdo8a.afm 17KB
pagk8a.afm 17KB
phvbo8a.afm 17KB
phvbo8an.afm 17KB
pagd8a.afm 17KB
phvb8a.afm 17KB
phvb8an.afm 17KB
pncri8a.afm 17KB
pncr8a.afm 16KB
pzcmi8a.afm 16KB
pncb8a.afm 16KB
pplbi8a.afm 15KB
pplr8a.afm 15KB
pplri8a.afm 15KB
phvlo8a.afm 15KB
pplb8a.afm 15KB
phvl8a.afm 15KB
pcrro8a.afm 15KB
Courier-Oblique.afm 15KB
pcrbo8a.afm 15KB
Courier-BoldOblique.afm 15KB
pcrb8a.afm 15KB
pcrr8a.afm 15KB
Courier.afm 15KB
Courier-Bold.afm 15KB
pbkdi8a.afm 15KB
pbkli8a.afm 15KB
pbkd8a.afm 15KB
pbkl8a.afm 15KB
cmex10.afm 12KB
cmmi10.afm 10KB
cmr10.afm 10KB
Symbol.afm 10KB
psyr.afm 9KB
ZapfDingbats.afm 9KB
pzdr.afm 9KB
cmsy10.afm 8KB
cmtt10.afm 6KB
AUTHORS 2KB
activate.bat 1001B
deactivate.bat 347B
fortranobject.c 35KB
wrapmodule.c 9KB
gfortran_vs2003_hack.c 77B
sysconfig.cfg 3KB
pyvenv.cfg 85B
jquery-ui.css 36KB
jquery-ui.min.css 31KB
jquery-ui.structure.css 18KB
jquery-ui.theme.css 18KB
jquery-ui.structure.min.css 15KB
jquery-ui.theme.min.css 14KB
boilerplate.css 2KB
page.css 2KB
fbm.css 1KB
percent_bachelors_degrees_women_usa.csv 6KB
msft.csv 3KB
demodata.csv 659B
data_x_x2_x3.csv 132B
membrane.dat 47KB
eeg.dat 25KB
rthooks.dat 1KB
agu.db 356KB
libopenblas.TXA6YQSD3GCQQC22GEQ54J2UDCXDXHWN.gfortran-win_amd64.dll 31.63MB
python36.dll 3.44MB
tk86t.dll 1.88MB
tcl86t.dll 1.59MB
sqlite3.dll 1.1MB
ucrtbase.dll 978KB
msvcp140.dll 625KB
msvcp140.dll 618KB
vccorlib140.dll 385KB
xlwings64-0.11.8.dll 359KB
concrt140.dll 327KB
concrt140.dll 326KB
xlwings32-0.11.8.dll 287KB
vcomp140.dll 181KB
共 2911 条
- 1
- 2
- 3
- 4
- 5
- 6
- 30
资源评论
宇哥编程
- 粉丝: 407
- 资源: 8
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
- MBR污水一体化处理系统(集装箱)工程图机械结构设计图纸和其它技术资料和技术方案非常好100%好用.zip
- lattice diamond3.11的license文件
- vsvbxcygsyzgvytfvdyvs
- DJS-042-锁螺丝机方案工程图机械结构设计图纸和其它技术资料和技术方案非常好100%好用.zip
- FMASTERSW3.2版本
- qemu上运行Linux系统开启并验证IMA功能
- HE-Drive-main.zip
- mysql安装配置教程.txt
- mysql安装配置教程.txt
- mysql安装配置教程.txt
- 汇川伺服6V30-EOE-MXL文件-037515
- 2024中国CIO&CDO现状、挑战及未来趋势研究报告
- 鼠标连点器+自动单机+录制点击
- 4G DTU串口数据采集网关设计全套资料(源码、原理图、外壳文件、产品手册).zip
- 利用Python绘制装饰圣诞树的技术实例
- 测试程序:qabstractvideosurface
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功