我需要从我的模块调用Python函数并为它设置两个参数:int和array。
现在我在调用此函数时遇到段错误,我不知道我做错了什么。有人可以指出我的错误在哪里吗?
我的Python模块app.py中的函数。如果我从Python代码中调用它,它就可以工作:
def get_model(rate, signal):
mfcc_train = MFCC().compute(rate, signal)
with open('mfcc_test', 'wb') as f:
pickle.dump(mfcc_train, f)
return clf()._fit(mfcc_train)
调用上述函数的我的C代码。最后一次是"在致电"
之前#include <Python.h>
#include <stdio.h>
#include "wav.h"
#include <numpy/arrayobject.h>
int main(int argc, char *argv[])
{
PyObject *pName, *pModule, *pDict, *pFunc, *pValue, *pArgs;
uint8_t *samples = NULL;
wavread("test.wav", &samples);
printf("No. of channels: %d\n", header->num_channels);
printf("Sample rate: %d\n", header->sample_rate);
printf("Bit rate: %dkbps\n", header->byte_rate*8 / 1000);
printf("Bits per sample: %d\n\n", header->bps);
printf("Sample 0: %d\n", samples[0]);
printf("Sample 1: %d\n", samples[1]);
// Initialize the Python Interpreter
printf("Before init\n");
Py_Initialize();
PyObject *sysPath = PySys_GetObject("path");
const char *scriptDirectoryName = ".";
PyObject *path = PyUnicode_FromString(scriptDirectoryName);
int result = PyList_Insert(sysPath, 0, path);
printf("after init\n");
// Build the name object
pName = PyUnicode_DecodeFSDefault(argv[1]);
printf("after pname %s %d\n", argv[1], pName == NULL ? 1 : 0);
// Load the module object
pModule = PyImport_Import(pName);
printf("after pmodule %d\n", pModule == NULL ? 1 : 0);
// pFunc is also a borrowed reference
pFunc = PyObject_GetAttrString(pModule, "get_model");
printf("after pfunc\n");
if (PyCallable_Check(pFunc))
{
pArgs = PyTuple_New(2);
printf("after pytuple\n");
PyTuple_SetItem(pArgs, 0, PyLong_FromLong(header->sample_rate));
printf("after set item\n");
uint8_t* array = malloc(header->datachunk_size);
int dims[1];
dims[0] = header->datachunk_size;
printf("alloc\n");
import_array();
PyObject* pSamples = PyArray_SimpleNewFromData(1, dims, NPY_INT8, (void*)samples);
printf("pSamples\n");
PyArray_ENABLEFLAGS((PyArrayObject*)pSamples, NPY_ARRAY_OWNDATA);
PyTuple_SetItem(pArgs, 1, pSamples);
printf("Before calling\n");
pValue = PyObject_CallObject(pFunc, pArgs);
printf("After calling\n");
} else
{
PyErr_Print();
}
printf("pValue: %d\n", pValue);
// Clean up
Py_DECREF(pModule);
Py_DECREF(pFunc);
Py_DECREF(pName);
// Finish the Python Interpreter
Py_Finalize();
free(header);
free(samples);
}
UPD:更新了修复一个问题的代码。但另一个问题仍然存在。它排在PyObject* pSamples = PyArray_SimpleNewFromData(1, dims, NPY_INT8, (void*)samples);
行。我无法找出它的错误。
和wav.h以防万一:
#include <inttypes.h>
#include <stdlib.h>
#include <sys/types.h>
#include <sys/stat.h>
#include <fcntl.h>
#include <err.h>
typedef struct {
char chunk_id[4];
uint32_t chunk_size;
char format[4];
char fmtchunk_id[4];
uint32_t fmtchunk_size;
uint16_t audio_format;
uint16_t num_channels;
uint32_t sample_rate;
uint32_t byte_rate;
uint16_t block_align;
uint16_t bps;
char datachunk_id[4];
uint32_t datachunk_size;
}WavHeader;
WavHeader *header;
void wavread(char *file_name, int16_t **samples)
{
int fd;
if (!file_name)
errx(1, "Filename not specified");
if ((fd = open(file_name, O_RDONLY)) < 1)
errx(1, "Error opening file");
if (!header)
header = (WavHeader*)malloc(sizeof(WavHeader));
if (read(fd, header, sizeof(WavHeader)) < sizeof(WavHeader))
errx(1, "File broken: header");
if (strncmp(header->chunk_id, "RIFF", 4) ||
strncmp(header->format, "WAVE", 4))
errx(1, "Not a wav file");
if (header->audio_format != 1)
errx(1, "Only PCM encoding supported");
if (*samples) free(*samples);
*samples = (int16_t*)malloc(header->datachunk_size);
if (!*samples)
errx(1, "Error allocating memory");
if (read(fd, *samples, header->datachunk_size) < header->datachunk_size)
errx(1, "File broken: samples");
close(fd);
}
答案 0 :(得分:2)
如果没有In [227]: df
Out[227]:
Year Make Model Trim
0 2007 Acura TL Base
1 2007 Acura TL XLR
2 2007 Acura TL NaN
3 2007 Acura TL Base
In [228]: (df.groupby(['Year', 'Make', 'Model'])['Trim']
.apply(lambda x: x.fillna(x.mode()[0])))
...:
Out[228]:
0 Base
1 XLR
2 Base
3 Base
Name: Trim, dtype: object
的定义,很难说,但我相信这个问题就在行中
header
PyTuple_SetItem(pArgs, 0, header->sample_rate);
需要一个Python对象并且你传递它我认为是一个整数,它被误解为PyTuple_SetItem
。
我怀疑你想要
PyObject*
(Python3中的PyTuple_SetItem(pArgs, 0, PyInt_FromLong(header->sample_rate));
)
第二个问题:您PyLong_FromLong
free
两次。首先,你将它传递给numpy并告诉numpy它拥有数据:
samples
然后在代码的末尾你释放它
PyObject* pSamples = PyArray_SimpleNewFromData(1, dims, NPY_INT8, (void*)samples);
PyArray_ENABLEFLAGS((PyArrayObject*)pSamples, NPY_ARRAY_OWNDATA);
我怀疑您打算将新分配的free(samples);
传递给numpy而不是array
。 (如果是这种情况,你仍然需要在它们之间复制数据)
UPD:评论中另一个正确的解决方案是将dims的类型从int更改为npy_intp