jmwang66
2023-06-29 98abc0e5ac1a1da0fe1802d9ffb623802fbf0b2f
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import collections.abc
from pathlib import Path
from typing import Union
 
import numpy as np
 
from funasr.fileio.read_text import read_2column_text
 
 
class NpyScpWriter:
    """Writer class for a scp file of numpy file.
 
    Examples:
        key1 /some/path/a.npy
        key2 /some/path/b.npy
        key3 /some/path/c.npy
        key4 /some/path/d.npy
        ...
 
        >>> writer = NpyScpWriter('./data/', './data/feat.scp')
        >>> writer['aa'] = numpy_array
        >>> writer['bb'] = numpy_array
 
    """
 
    def __init__(self, outdir: Union[Path, str], scpfile: Union[Path, str]):
        self.dir = Path(outdir)
        self.dir.mkdir(parents=True, exist_ok=True)
        scpfile = Path(scpfile)
        scpfile.parent.mkdir(parents=True, exist_ok=True)
        self.fscp = scpfile.open("w", encoding="utf-8")
 
        self.data = {}
 
    def get_path(self, key):
        return self.data[key]
 
    def __setitem__(self, key, value):
        assert isinstance(value, np.ndarray), type(value)
        p = self.dir / f"{key}.npy"
        p.parent.mkdir(parents=True, exist_ok=True)
        np.save(str(p), value)
        self.fscp.write(f"{key} {p}\n")
 
        # Store the file path
        self.data[key] = str(p)
 
    def __enter__(self):
        return self
 
    def __exit__(self, exc_type, exc_val, exc_tb):
        self.close()
 
    def close(self):
        self.fscp.close()
 
 
class NpyScpReader(collections.abc.Mapping):
    """Reader class for a scp file of numpy file.
 
    Examples:
        key1 /some/path/a.npy
        key2 /some/path/b.npy
        key3 /some/path/c.npy
        key4 /some/path/d.npy
        ...
 
        >>> reader = NpyScpReader('npy.scp')
        >>> array = reader['key1']
 
    """
 
    def __init__(self, fname: Union[Path, str]):
        self.fname = Path(fname)
        self.data = read_2column_text(fname)
 
    def get_path(self, key):
        return self.data[key]
 
    def __getitem__(self, key) -> np.ndarray:
        p = self.data[key]
        return np.load(p)
 
    def __contains__(self, item):
        return item
 
    def __len__(self):
        return len(self.data)
 
    def __iter__(self):
        return iter(self.data)
 
    def keys(self):
        return self.data.keys()