Writing local files fails on Windows 11 about tensorstore HOT 6 OPEN

I cannot reproduce this.

I installed python3.11 and copied your test into this file: C:\tmp\x\issue_160.py

Then I ran it like this:

> C:\Python311\python.exe -m pip install tensorstore

> C:\Python311\python.exe issue_160.py
0.1.59
Test 1 passed!
Test 2 passed
Test 3 passed
Test 4 passed

> dir /A /S /B
C:\tmp\x\issue_160.py
C:\tmp\x\tmp_n5
C:\tmp\x\tmp_zarr
C:\tmp\x\tmp_n5\attributes.json
C:\tmp\x\tmp_zarr\.zarray

from tensorstore.

It also passes with tensorstore 0.1.60:

C:\tmp\x>C:\Python311\python.exe issue_160.py
0.1.60
Test 1 passed!
Test 2 passed
Test 3 passed
Test 4 passed

C:\tmp\x>dir /a /s /b
C:\tmp\x\issue_160.py
C:\tmp\x\tmp_n5
C:\tmp\x\tmp_zarr
C:\tmp\x\tmp_n5\attributes.json
C:\tmp\x\tmp_zarr\.zarray

from tensorstore.

Note: This spec will try to write at the root of wherever you are running. So in my case, running in C:\tmp\x, the output will actually be created in C:\tmp_zarr_new.

    spec = {
        'driver': 'zarr',
        'kvstore': {
            'driver': 'file',
            'path': "/tmp_zarr_new",
        }
    }

from tensorstore.

I have the same problem writing from inside WSL 2 to a windows drive (/mnt/c/...).
Version: v0.1.64
Python: 3.10.12

ValueError: NOT_FOUND: Error opening "n5" driver: Error writing local file "/mnt/c/dataset/ml/attributes.json": [OS error 2: No such file or directory]

File is created on the drive. Opening it afterwards works. Writing to it again fails:

ValueError: NOT_FOUND: Error writing local file "/mnt/c/dataset/ml/0/1/1/0": [OS error 2: No such file or directory]

from tensorstore.

That appears to be a different problem, as wsl is actually running Linux against a particular network filesystem.
However it probably shouldn't fail.

It appears to be a failure when ::fstat() is called on an open fd on the wsl network filesystem.

from tensorstore.

The ::fstat() issue may work if you build from source after 52c2dda

I can test on my WSL instance later.

edit: That appears insufficient to solve the problem.

from tensorstore.