mirror of
https://github.com/modelscope/FunASR
synced 2025-09-15 14:48:36 +08:00
98 lines
2.3 KiB
Python
98 lines
2.3 KiB
Python
import collections.abc
|
|
from pathlib import Path
|
|
from typing import Union
|
|
|
|
import numpy as np
|
|
from typeguard import check_argument_types
|
|
|
|
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]):
|
|
assert check_argument_types()
|
|
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]):
|
|
assert check_argument_types()
|
|
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()
|