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keddad's questions

Martin Hope
keddad
Asked: 2022-03-14 17:31:53 +0000 UTC
  • 0

我有一个非常简单的 GStreamer 项目：

#include <gst/gst.h>

using namespace std;

int main(){
    GstElement *pipeline = nullptr;
    GstBus *bus = nullptr;
    GstMessage *msg = nullptr;

    // gstreamer initialization
    gst_init(nullptr, nullptr);
    
}

我想用这个 CMakeLists.txt 构建它：

cmake_minimum_required(VERSION 3.10)

project(Mgm)
find_package(PkgConfig)

set(CMAKE_CXX_STANDARD 20)
set(CMAKE_CXX_STANDARD_REQUIRED True)

pkg_check_modules(GSTREAMER REQUIRED gstreamer-1.0)

#including GStreamer header files directory
include_directories(
        ${GLIB_INCLUDE_DIRS}
        ${GSTREAMER_INCLUDE_DIRS}
)

#linking GStreamer library directory
link_directories(
        ${GLIB_LIBRARY_DIRS}
        ${GSTREAMER_LIBRARY_DIRS}
)

add_executable(mgm src/main.cpp)

问题是在构建时，我得到一个链接器错误：

[keddad@priest mgm]$ cmake .
-- Configuring done
-- Generating done
-- Build files have been written to: /home/keddad/Documents/mgm
[keddad@priest mgm]$ make
[ 50%] Linking CXX executable mgm
/usr/bin/ld: CMakeFiles/mgm.dir/src/main.cpp.o: in function `main':
main.cpp:(.text+0x2b): undefined reference to `gst_init'
collect2: error: ld returned 1 exit status
make[2]: *** [CMakeFiles/mgm.dir/build.make:103: mgm] Error 1
make[1]: *** [CMakeFiles/Makefile2:95: CMakeFiles/mgm.dir/all] Error 2
make: *** [Makefile:103: all] Error 2

gstreamer软件包已安装在系统上，因此链接库似乎存在。同时，在IDE（VS Code）中，我可以看到函数的签名，例如，从gst转到结构的定义——因此，它肯定是系统正常安装和定位的。我究竟做错了什么？

c++
Martin Hope
keddad
Asked: 2020-04-18 02:08:16 +0000 UTC
  • 3

我有一个抽象应用程序，它由不同语言的几个独立模块组成。我想使用 Git 子模块进行版本控制：然后我将拥有一个存储 docker-compose 文档和配置的主存储库，以及 Git 从所有存储库中提取我的应用程序的文件夹。

问题：在开发过程中，为了测试一个新特性，我将不得不通过以下路径：提交到应用程序存储库，推送，然后更新主存储库中的子模块，然后再提升。如果出现问题，我将不得不回滚提交（这在开发刚刚开始时尤其重要，并且有数百个这样的编辑）。

第二个选项是在存储库中创建子文件夹，但这会导致提交混淆。此外，它可能会破坏 IDE 和依赖管理系统（例如，Golang 模块会感觉不好，集成到 IDE 中的版本控制系统会感觉不好）。

是否有任何替代或混合方法来管理多模块应用程序依赖项？

контроль-версий
Martin Hope
keddad
Asked: 2020-03-26 18:31:36 +0000 UTC
  • 1

我有一个 DataFrame df_heroes和df_train，每个都有一个hero_id参数。我想遍历df_heroes，将df_heroes 框架中具有相同hero_id的角色添加到尚不存在的hero_roles列中。我正在尝试这样做：

for row in df_train.itertuples(index = False):
    row['hero_roles'] = df_heroes.loc[df_heroes["hero_id"]==row["hero_id"]].values["roles"]

但是这样做时我得到一个错误：

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
~\Anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
   3077             try:
-> 3078                 return self._engine.get_loc(key)
   3079             except KeyError:

pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

KeyError: 'hero_id'

During handling of the above exception, another exception occurred:

KeyError                                  Traceback (most recent call last)
<ipython-input-10-2c33f244f191> in <module>
      1 for row in df_train.itertuples(index = False):
----> 2     row['hero_roles'] = df_heroes.loc[df_heroes["hero_id"]==row["hero_id"]].values["roles"]

~\Anaconda3\lib\site-packages\pandas\core\frame.py in __getitem__(self, key)
   2686             return self._getitem_multilevel(key)
   2687         else:
-> 2688             return self._getitem_column(key)
   2689 
   2690     def _getitem_column(self, key):

~\Anaconda3\lib\site-packages\pandas\core\frame.py in _getitem_column(self, key)
   2693         # get column
   2694         if self.columns.is_unique:
-> 2695             return self._get_item_cache(key)
   2696 
   2697         # duplicate columns & possible reduce dimensionality

~\Anaconda3\lib\site-packages\pandas\core\generic.py in _get_item_cache(self, item)
   2487         res = cache.get(item)
   2488         if res is None:
-> 2489             values = self._data.get(item)
   2490             res = self._box_item_values(item, values)
   2491             cache[item] = res

~\Anaconda3\lib\site-packages\pandas\core\internals.py in get(self, item, fastpath)
   4113 
   4114             if not isna(item):
-> 4115                 loc = self.items.get_loc(item)
   4116             else:
   4117                 indexer = np.arange(len(self.items))[isna(self.items)]

~\Anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
   3078                 return self._engine.get_loc(key)
   3079             except KeyError:
-> 3080                 return self._engine.get_loc(self._maybe_cast_indexer(key))
   3081 
   3082         indexer = self.get_indexer([key], method=method, tolerance=tolerance)

pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()

KeyError: 'hero_id'

我怎样才能使我的代码工作？

样本数据链接：https ://yadi.sk/d/ZAzQifMGwZphHg

python
Martin Hope
keddad
Asked: 2020-11-25 03:39:30 +0000 UTC
  • 1

当我打开数据集时，它会引发错误，尽管我没有看到任何问题。我怎样才能解决这个问题？

ParserError                               Traceback (most recent call last)
<ipython-input-5-76a26ffa0a27> in <module>()
----> 1 df = pd.read_csv("data.csv")## подключим файл

C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, doublequote, delim_whitespace, low_memory, memory_map, float_precision)
    676                     skip_blank_lines=skip_blank_lines)
    677 
--> 678         return _read(filepath_or_buffer, kwds)
    679 
    680     parser_f.__name__ = name

C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds)
    444 
    445     try:
--> 446         data = parser.read(nrows)
    447     finally:
    448         parser.close()

C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
   1034                 raise ValueError('skipfooter not supported for iteration')
   1035 
-> 1036         ret = self._engine.read(nrows)
   1037 
   1038         # May alter columns / col_dict

C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
   1846     def read(self, nrows=None):
   1847         try:
-> 1848             data = self._reader.read(nrows)
   1849         except StopIteration:
   1850             if self._first_chunk:

pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader.read()

pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._read_low_memory()

pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._read_rows()

pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._tokenize_rows()

pandas\_libs\parsers.pyx in pandas._libs.parsers.raise_parser_error()

ParserError: Error tokenizing data. C error: Expected 6 fields in line 396, saw 7

数据集似乎完好无损，并且取自可信来源。链接到 .csv

python
Martin Hope
keddad
Asked: 2020-11-11 19:37:42 +0000 UTC
  • 0

我有一个模型：

class token(Model):
token = CharField() 
is_teacher = BooleanField() 
class Meta:
    database = db

我需要通过 token 的值找到is_teacher的值。我正在尝试这样做：

def CheckTokenTeacher(token_name):
tokens = token.select().where(token.token==token_name)
if len(tokens) is 1:
    return tokens[0].is_teacher
else:
    return 0

但是 VS Code 这么说

分配给不返回的函数调用

如何解决此错误并获取is_teacher for token的值？

python
Martin Hope
keddad
Asked: 2020-06-05 00:44:45 +0000 UTC
  • 0
a = input()
print("The next number for the number " a "is" a+1)

执行时出错

回溯（最近调用最后）：文件“python”，第 3 行打印（“数字的下一个数字”a“是”a+1）SyntaxError：语法无效

但我没有看到任何语法问题。门框在哪里，是否可以提供有关此问题的详细文献？

python