Inner File Storage

一,说明

  • 保存应用运行时需要较大的数据或图片
  • 文件类型:任意
  • 存储路径:/data/data/packageName/files/
  • 可以设置为当前应用私有
  • 应用卸载时删除此数据

二,API

读取文件
  • FileInputStream fis=openFileInput("logo.png")
    得到文件输入流
保存文件
  • FileOuputStream fos=openFileOutput("logo.png",MODE_PRIVATE)
    得到文件输出流
files文件夹
  • File filesDir=getFilesDir()
    得到文件夹
操作assets下文件
  • AssetManager context.getAssets()
    得到AssetManager
  • InputStream AssetManager.open(String fileName)
    得到asset下文件输入流
加载图片文件
  • Bitmap BitmapFactory.decodeFile(String pathName)
    得到BItmap(.bmp/.png/.jpg)

三,测试源码

public class IFActivity extends Activity {
    private ImageView iv_if_image;

    @Override
    protected void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
        setContentView(R.layout.activity_if);
        iv_if_image = (ImageView) findViewById(R.id.iv_if_image);
    }

    public void onClickSave(View V) throws IOException {
        //1. 得到输入流
        AssetManager assetManager = getAssets();
        InputStream is = assetManager.open("logo.png");
        //2. 得到输出流
        FileOutputStream fos = openFileOutput("logo.png", MODE_PRIVATE);
        //3. 边读边写
        byte[] buffer=new byte[128];
        int len=-1;
        while((len=is.read(buffer))!=-1){
            fos.write(buffer,0,len);
        }
        fos.close();
        is.close();
        //4. 提示
        Toast.makeText(this, "保存完成", 0).show();
    }

    public void onClickRead(View V) {
        //1. 加载图片得到Bitmap
        String filesPath = getFilesDir().getAbsolutePath();
        String imagePath=filesPath+"/logo.png";
        Bitmap bitmap = BitmapFactory.decodeFile(imagePath);
        //2. 显示图片
        iv_if_image.setImageBitmap(bitmap);
    }
}
File "/data/coding/transformers_from_scratch-main/pretrain.py", line 144, in <module> main() File "/data/coding/transformers_from_scratch-main/pretrain.py", line 125, in main trainer.train() File "/data/miniconda/envs/torch/lib/python3.10/site-packages/transformers/trainer.py", line 2240, in train return inner_training_loop( File "/data/miniconda/envs/torch/lib/python3.10/site-packages/transformers/trainer.py", line 2622, in _inner_training_loop self._maybe_log_save_evaluate( File "/data/miniconda/envs/torch/lib/python3.10/site-packages/transformers/trainer.py", line 3102, in _maybe_log_save_evaluate self._save_checkpoint(model, trial) File "/data/miniconda/envs/torch/lib/python3.10/site-packages/transformers/trainer.py", line 3199, in _save_checkpoint self.save_model(output_dir, _internal_call=True) File "/data/miniconda/envs/torch/lib/python3.10/site-packages/transformers/trainer.py", line 3898, in save_model self._save(output_dir, state_dict=state_dict) File "/data/miniconda/envs/torch/lib/python3.10/site-packages/transformers/trainer.py", line 4015, in _save self.model.save_pretrained( File "/data/miniconda/envs/torch/lib/python3.10/site-packages/transformers/modeling_utils.py", line 3572, in save_pretrained ptrs[id_tensor_storage(tensor)].append(name) File "/data/miniconda/envs/torch/lib/python3.10/site-packages/transformers/pytorch_utils.py", line 300, in id_tensor_storage from torch.distributed.tensor import DTensor cannot import name 'DTensor' from 'torch.distributed.tensor' (/data/miniconda/envs/torch/lib/python3.10/site-packages/torch/distributed/tensor/__init__.py)
07-01
C:\Users\lenovo\anaconda3\envs\radi\python.exe F:\PythonProject2\transform.py Traceback (most recent call last): File "F:\PythonProject2\transform.py", line 29, in <module> output_file = convert_xls_to_xlsx(input_file) File "F:\PythonProject2\transform.py", line 18, in convert_xls_to_xlsx df = pd.read_excel(input_path, engine='xlrd') File "C:\Users\lenovo\anaconda3\envs\radi\lib\site-packages\pandas\util\_decorators.py", line 311, in wrapper return func(*args, **kwargs) File "C:\Users\lenovo\anaconda3\envs\radi\lib\site-packages\pandas\io\excel\_base.py", line 364, in read_excel io = ExcelFile(io, storage_options=storage_options, engine=engine) File "C:\Users\lenovo\anaconda3\envs\radi\lib\site-packages\pandas\io\excel\_base.py", line 1233, in __init__ self._reader = self._engines[engine](self._io, storage_options=storage_options) File "C:\Users\lenovo\anaconda3\envs\radi\lib\site-packages\pandas\io\excel\_xlrd.py", line 25, in __init__ super().__init__(filepath_or_buffer, storage_options=storage_options) File "C:\Users\lenovo\anaconda3\envs\radi\lib\site-packages\pandas\io\excel\_base.py", line 420, in __init__ self.book = self.load_workbook(self.handles.handle) File "C:\Users\lenovo\anaconda3\envs\radi\lib\site-packages\pandas\io\excel\_xlrd.py", line 38, in load_workbook return open_workbook(file_contents=data) File "C:\Users\lenovo\anaconda3\envs\radi\lib\site-packages\xlrd\__init__.py", line 148, in open_workbook bk = book.open_workbook_xls( File "C:\Users\lenovo\anaconda3\envs\radi\lib\site-packages\xlrd\book.py", line 92, in open_workbook_xls biff_version = bk.getbof(XL_WORKBOOK_GLOBALS) File "C:\Users\lenovo\anaconda3\envs\radi\lib\site-packages\xlrd\book.py", line 1278, in getbof bof_error('Expected BOF record; found %r' % self.mem[savpos:savpos+8]) File "C:\Users\lenovo\anaconda3\envs\radi\lib\site-packages\xlrd\book.py", line 1272, in bof_error raise XLRDError('Unsupported format, or corrupt file: ' + msg) xlrd.biffh.XLRDError: Unsupported format, or corrupt file: Expected BOF record; found b'diagnost'
07-17
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