mirror of
https://gitee.com/fastnlp/fastNLP.git
synced 2024-12-04 21:28:01 +08:00
ca94a00f41
[new] text_classification:charcnn,dpcnn,HAN,awd-lstm
72 lines
3.1 KiB
Python
72 lines
3.1 KiB
Python
import os
|
||
|
||
from typing import Union, Dict
|
||
|
||
|
||
def check_dataloader_paths(paths:Union[str, Dict[str, str]])->Dict[str, str]:
|
||
"""
|
||
检查传入dataloader的文件的合法性。如果为合法路径,将返回至少包含'train'这个key的dict。类似于下面的结果
|
||
{
|
||
'train': '/some/path/to/', # 一定包含,建词表应该在这上面建立,剩下的其它文件应该只需要处理并index。
|
||
'test': 'xxx' # 可能有,也可能没有
|
||
...
|
||
}
|
||
如果paths为不合法的,将直接进行raise相应的错误
|
||
|
||
:param paths: 路径. 可以为一个文件路径(则认为该文件就是train的文件); 可以为一个文件目录,将在该目录下寻找train(文件名
|
||
中包含train这个字段), test.txt, dev.txt; 可以为一个dict, 则key是用户自定义的某个文件的名称,value是这个文件的路径。
|
||
:return:
|
||
"""
|
||
if isinstance(paths, str):
|
||
if os.path.isfile(paths):
|
||
return {'train': paths}
|
||
elif os.path.isdir(paths):
|
||
filenames = os.listdir(paths)
|
||
files = {}
|
||
for filename in filenames:
|
||
path_pair = None
|
||
if 'train' in filename:
|
||
path_pair = ('train', filename)
|
||
if 'dev' in filename:
|
||
if path_pair:
|
||
raise Exception("File:{} in {} contains both `{}` and `dev`.".format(filename, paths, path_pair[0]))
|
||
path_pair = ('dev', filename)
|
||
if 'test' in filename:
|
||
if path_pair:
|
||
raise Exception("File:{} in {} contains both `{}` and `test`.".format(filename, paths, path_pair[0]))
|
||
path_pair = ('test', filename)
|
||
if path_pair:
|
||
if path_pair[0] in files:
|
||
raise RuntimeError(f"Multiple file under {paths} have '{path_pair[0]}' in their filename.")
|
||
files[path_pair[0]] = os.path.join(paths, path_pair[1])
|
||
return files
|
||
else:
|
||
raise FileNotFoundError(f"{paths} is not a valid file path.")
|
||
|
||
elif isinstance(paths, dict):
|
||
if paths:
|
||
if 'train' not in paths:
|
||
raise KeyError("You have to include `train` in your dict.")
|
||
for key, value in paths.items():
|
||
if isinstance(key, str) and isinstance(value, str):
|
||
if not os.path.isfile(value):
|
||
raise TypeError(f"{value} is not a valid file.")
|
||
else:
|
||
raise TypeError("All keys and values in paths should be str.")
|
||
return paths
|
||
else:
|
||
raise ValueError("Empty paths is not allowed.")
|
||
else:
|
||
raise TypeError(f"paths only supports str and dict. not {type(paths)}.")
|
||
|
||
def get_tokenizer():
|
||
try:
|
||
import spacy
|
||
spacy.prefer_gpu()
|
||
en = spacy.load('en')
|
||
print('use spacy tokenizer')
|
||
return lambda x: [w.text for w in en.tokenizer(x)]
|
||
except Exception as e:
|
||
print('use raw tokenizer')
|
||
return lambda x: x.split()
|