public static final AppFilter FILTER_DOWNLOADED_AND_LAUNCHER = new AppFilter() { @Override public void init() { } @Override public boolean filterApp(AppEntry entry) { if (AppUtils.isInstant(entry.info)) { return false; } else if (hasFlag(entry.info.flags, ApplicationInfo.FLAG_UPDATED_SYSTEM_APP)) { return true; } else if (!hasFlag(entry.info.flags, ApplicationInfo.FLAG_SYSTEM)) { return true; } else if (entry.hasLauncherEntry) { return true; } else if (hasFlag(entry.info.flags, ApplicationInfo.FLAG_SYSTEM) && entry.isHomeApp) { return true; } return false; } };详解

这段代码定义了一个名为FILTER_DOWNLOADED_AND_LAUNCHER的静态常量，类型为AppFilter。它的值是一个匿名内部类的实例，实现了AppFilter接口中的两个方法init和filterApp。

init方法在实例化时不会被调用，它的作用是在需要时初始化该实例。在这个例子中，init方法没有实现任何功能。

filterApp方法是用来过滤AppEntry对象的方法，AppEntry对象表示一个应用程序的信息。在filterApp方法中，首先判断该应用程序是否为Instant应用，如果是，则返回false。接着判断该应用程序是否为系统应用的更新版本，如果是，则返回true。然后判断该应用程序是否为非系统应用，如果是，则返回true。然后判断该应用程序是否有Launcher入口，如果是，则返回true。最后判断该应用程序是否为系统应用的Home应用，如果是，则返回true。如果以上条件都不满足，则返回false。

该静态常量的作用是用来过滤已下载且有Launcher入口的应用程序。

相关问题

int progressCallback(void *clientp, curl_off_t dltotal, curl_off_t dlnow, curl_off_t ultotal, curl_off_t ulnow) { ProgressData *data = static_cast<ProgressData*>(clientp); double downloadedBytes = static_cast<double>(dlnow); data->process_percent = downloadedBytes * 100 / data->filesize; cout << "Downloaded " << downloadedBytes << " of " << data->filesize << endl; cout << "current percent: " << data->process_percent << endl; curl_easy_getinfo(data->curl, CURLINFO_SPEED_DOWNLOAD, &data->speed); cout << "Speed: " << data->speed << " bytes" << endl; download_percent_code = 200; return 0; }

这是一个使用libcurl进度回调函数来计算下载进度百分比的示例代码。它的原理是在回调函数中获取已经下载的字节数和文件总大小，然后计算已下载字节数占文件总大小的百分比。其中ProgressData结构体中的filesize表示文件大小，process_percent表示下载进度百分比，curl保存了curl_easy_init()返回的CURL指针，speed表示下载速度。这个回调函数会在每次数据传输结束后被调用，你可以在其中实现对下载进度的实时跟踪和计算。

Failed cleaning build dir for numpy Failed to build numpy Installing collected packages: numpy Running setup.py install for numpy ... error Complete output from command /usr/bin/python3 -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-h5_vrlht/numpy/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-3koy23ws-record/install-record.txt --single-version-externally-managed --compile --user --prefix=: Running from numpy source directory. Note: if you need reliable uninstall behavior, then install with pip instead of using `setup.py install`: - `pip install .` (from a git repo or downloaded source release) - `pip install numpy` (last NumPy release on PyPi) Cythonizing sources Error compiling Cython file: ------------------------------------------------------------ ... cdef sfc64_state rng_state def __init__(self, seed=None): BitGenerator.__init__(self, seed) self._bitgen.state = <void *>&self.rng_state self._bitgen.next_uint64 = &sfc64_uint64 ^ ------------------------------------------------------------ _sfc64.pyx:90:35: Cannot assign type 'uint64_t (*)(void *) except? -1 nogil' to 'uint64_t (*)(void *) noexcept nogil' numpy/random/_bounded_integers.pxd.in has not changed Processing numpy/random/_sfc64.pyx Traceback (most recent call last): File "/tmp/pip-build-h5_vrlht/numpy/tools/cythonize.py", line 235, in <module> main() File "/tmp/pip-build-h5_vrlht/numpy/tools/cythonize.py", line 231, in main find_process_files(root_dir) File "/tmp/pip-build-h5_vrlht/numpy/tools/cythonize.py", line 222, in find_process_files process(root_dir, fromfile, tofile, function, hash_db) File "/tmp/pip-build-h5_vrlht/numpy/tools/cythonize.py", line 188, in process processor_function(fromfile, tofile) File "/tmp/pip-build-h5_vrlht/numpy/tools/cythonize.py", line 78, in process_pyx [sys.executable, '-m', 'cython'] + flags + ["-o", tofile, fromfile]) File "/usr/lib/python3.6/subprocess.py", line 311, in check_call raise CalledProcessError(retcode, cmd) subprocess.CalledProcessError: Command '['/usr/bin/python3', '-m', 'cython', '-3', '--fast-fail', '-o', '_sfc64.c', '_sfc64.pyx']' returned non-zero exit status 1. Traceback (most recent call last): File "<string>", line 1, in <module> File "/tmp/pip-build-h5_vrlht/numpy/setup.py", line 508, in <module> setup_package() File "/tmp/pip-build-h5_vrlht/numpy/setup.py", line 488, in setup_package generate_cython() File "/tmp/pip-build-h5_vrlht/numpy/setup.py", line 285, in generate_cython raise RuntimeError("Running cythonize failed!") RuntimeError: Running cythonize failed! ---------------------------------------- Command "/usr/bin/python3 -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-h5_vrlht/numpy/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-3koy23ws-record/install-record.txt --single-version-externally-managed --compile --user --prefix=" failed with error code 1 in /tmp/pip-build-h5_vrlht/numpy/

您遇到了安装numpy时的错误。根据错误日志，问题出现在运行Cython编译器时。这可能是由于Cython版本不兼容或其他配置问题导致的。

您可以尝试以下解决方案：

1. 确保您使用的是最新版本的pip和setuptools。可以运行以下命令进行升级：

   pip install --upgrade pip setuptools

2. 确保您的系统已安装Cython。您可以尝试通过运行以下命令来安装Cython：

   pip install Cython

3. 如果您已经安装了Cython，并且问题仍然存在，请尝试降级Cython版本。运行以下命令：

   pip install Cython==0.29.21

然后再次尝试安装numpy。

希望这些解决方案可以帮助您解决问题。如果问题仍然存在，请提供更多详细信息，以便我可以更好地帮助您。