ROLLOUT 0 · NeurodataWithoutBorders/pynwb
neurodatawithoutborders__pynwb-1669
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494 stotal time
23tool calls
23model calls
6,367tokens generated
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System instructions 4,822 characters
You are a principal Python software engineer resolving a repository issue in `/workspace`. Your sole objective is to produce a minimal, root-cause source patch that passes every hidden fail-to-pass and pass-to-pass regression test on the first grading run. ## Critical Environment & Grader Rules 1. **Air-Gapped Sandbox & Available CLI Tools**: No network access. Never run `pip`, `uv`, `conda`, or `git fetch`. Note: `rg` (`ripgrep`) is NOT installed in the container — always use `grep -rn --include="*.py"` for fast exact searches so you never waste a tool call on `command not found`. 2. **Protected Grading Paths**: Before running official verification, the grading harness **strips and reverts all changes** to `tests/`, `test/`, `testing/`, `test_*.py`, `*_test.py`, `conftest.py`, `pyproject.toml`, `setup.cfg`, `pytest.ini`, and `tox.ini`. Every part of your fix MUST reside in non-test production source files. 3. **Untracked File Trap (`git add -N .`)**: `submit_patch` stages ALL untracked files inside `/workspace`! Never leave reproduction or scratch files inside `/workspace` — run reproductions inline via `python3 - <<'PY'` or inside `/tmp/repro.py` in a single `run_command`. 4. **Stdout Truncation Rule**: `run_command` truncates stdout after the first 5,000 characters from the TOP. Always run pytest quietly with short tracebacks: `pytest path/to/test_file.py -k pattern -q --tb=short --no-header` If a test file is large, redirect output to `/tmp/pytest.log` and inspect `tail -n 80 /tmp/pytest.log` so failure tracebacks at the bottom are never cut off. 5. **Strict Pacing Discipline**: `get_status` and `submit_patch` are free and do NOT count toward `max_tool_calls`. Target **16-22 counted tool calls total**, and **begin your first `edit_file` change no later than tool call 15**. Reserve at least 4 calls for verification, `git status --short && git diff`, and submission. ## Execution Protocol ### Phase 1 — Pinpoint Code & Tests Immediately (1-2 tool calls) - The user message already contains `Workspace Layout` — do NOT waste a turn running `ls` on top-level directories. - Run a single compound `run_command` with `grep -rn --include="*.py"` to locate: (a) the exact symbols, error strings, or functions from the problem description, (b) **all parallel or sibling implementations** (for example sync + async variants, `Client` + `AsyncClient`, serializer + deserializer, multiple backends/dialects, base + subclass methods, `__init__.py` / `__all__` exports), and (c) the closest existing unit test files under `tests/`. ### Phase 2 — Deep Read & Spec Anchor (2-5 tool calls) - Use `read_file` with generous `start_line` and `end_line` windows (180-300 lines per call so you read whole modules in fewer calls) on the target function/class, callers, type annotations, and neighboring tests. - Before editing, verify every explicit and implicit requirement from the issue: exact parameter names, defaults, boundary/domain edge cases, exception types/messages, `None` vs empty collection vs falsy (`0`, `False`, `""`) semantics, mutability/copying, and return types. ### Phase 3 — Reproduce Bug in One Call (1 tool call) - Run ONE concise command (`python3 - <<'PY' ... PY` or targeted `pytest ... -q --tb=short --no-header`) via `run_command` to observe the exact pre-fix failure. Do NOT spend multiple tool calls writing separate reproduction scripts. ### Phase 4 — Surgical Implementation Across All Parallel Paths (1-4 tool calls) - Begin editing by tool call 15! Use `edit_file` with 4-6 lines of exact surrounding context copied from `read_file`. - Update ALL parallel codepaths (sync/async, multiple classes/dialects, type hints) consistently so partial fixes do not fail sibling tests. - **2-Strike Edit Rule**: If `edit_file` fails twice on the same block due to whitespace or escaping, do not retry `edit_file` a third time — apply an atomic Python transformation via `run_command` and immediately verify `python3 -m py_compile path/to/file.py`. ### Phase 5 — Edge-Case Verification, Diff Hygiene & Clean Exit (2-4 tool calls) - Run a single compound `run_command` testing both your reproduction + boundary edge cases (`None`, empty input, leading/trailing delimiters, subdomain/prefix boundaries, subclass/async parity) AND the relevant existing `pytest` module(s) with `-q --tb=short --no-header`. - Run `git status --short && git diff` via `run_command`. Confirm: - ZERO untracked (`??`) files in `/workspace` (`rm -f` any untracked workspace files immediately), - ZERO modifications to `tests/` or protected config files (`git checkout -- tests/` if touched), - Minimal, clean diff with valid imports and indentation. - Call `submit_patch` once verification passes, then respond with a brief 2-sentence plain-text summary and make NO further tool calls.
Task prompt 5,275 characters
You are evaluating a software engineering task for repository NeurodataWithoutBorders/pynwb.
Problem Statement:
[Bug]: Error on parsing nwb_version attribute
### What happened?
I'm in the process of updating our CI pipeline to validate the IPNWB/MIES generated NWB.
pynwb is updated from 2.1.0 to 2.3.1.
The file passes validation.
See also https://github.com/AllenInstitute/MIES/pull/1650.
Now the problem is that the file can not be opened anymore because `/nwb_version` has an unexpected HDF5 format. This was not an issue with 2.1.0. a1f472b1 (Check nwb_version on read (#1612), 2022-12-18) seems to be culprit.
```
HDF5 "E:\projekte\mies-igor\HardwareBasic_1-V2.nwb" {
ATTRIBUTE "nwb_version" {
DATATYPE H5T_STRING {
STRSIZE 5;
STRPAD H5T_STR_NULLPAD;
CSET H5T_CSET_UTF8;
CTYPE H5T_C_S1;
}
DATASPACE SCALAR
DATA {
(0): "2.2.4"
}
}
}
```
### Steps to Reproduce
```python
import pynwb
io = pynwb.NWBHDF5IO("HardwareBasic_1-V2.nwb", 'r', load_namespaces=True)
nwbfile = io.read()
```
### Traceback
```python
C:\users\thomas\Anaconda3\lib\site-packages\hdmf\spec\namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.1.3 because version 1.5.1 is already loaded.
warn("Ignoring cached namespace '%s' version %s because version %s is already loaded."
C:\users\thomas\Anaconda3\lib\site-packages\hdmf\spec\namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.4 because version 2.6.0-alpha is already loaded.
warn("Ignoring cached namespace '%s' version %s because version %s is already loaded."
Traceback (most recent call last):
File "read.py", line 4, in <module>
nwbfile = io.read()
File "C:\users\thomas\Anaconda3\lib\site-packages\hdmf\utils.py", line 645, in func_call
return func(args[0], **pargs)
File "C:\users\thomas\Anaconda3\lib\site-packages\pynwb\__init__.py", line 280, in read
file_version_str, file_version = self.nwb_version
File "C:\users\thomas\Anaconda3\lib\site-packages\pynwb\__init__.py", line 262, in nwb_version
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
TypeError: a bytes-like object is required, not 'str'
```
### Operating System
Windows
### Python Executable
Conda
### Python Version
3.8
### Package Versions
[HardwareBasic_1-V2.zip](https://github.com/NeurodataWithoutBorders/pynwb/files/10996295/HardwareBasic_1-V2.zip)
[environment_for_issue.txt](https://github.com/NeurodataWithoutBorders/pynwb/files/10996306/environment_for_issue.txt)
### Code of Conduct
- [X] I agree to follow this project's [Code of Conduct](https://github.com/NeurodataWithoutBorders/pynwb/blob/dev/.github/CODE_OF_CONDUCT.rst)
- [X] Have you checked the [Contributing](https://github.com/NeurodataWithoutBorders/pynwb/blob/dev/docs/CONTRIBUTING.rst) document?
- [X] Have you ensured this bug was not already [reported](https://github.com/NeurodataWithoutBorders/pynwb/issues)?
## Task Budget (Session terminates when any budget is exhausted)
- Time allowance: 7.5 minutes
- Tool calls allowance: 30 calls
- Max loop iterations: 40 turns
## Execution Environment Rules
- Single command timeout: 90 seconds (commands exceeding this fail without ending the session)
- Command output limit: 5000 characters
- File view limit: 150 lines per read_file call
- File character limit: 10000 characters per read_file call
- Environment is offline (no network/PyPI access). All repository and test dependencies are ALREADY pre-installed. Do NOT attempt to run pip install or download packages.
## Instructions:
0. All source code is under `/workspace`. Do NOT search outside `/workspace` (e.g. `/usr/`, `/wheels/`, system site-packages). If imports fail, the issue is in the source code under `/workspace`, not in missing system packages.
1. Analyze the problem statement and any provided hints carefully to identify all requested script paths, CLI subcommands, or Python modules.
2. Inspect existing codebase conventions and test files before making edits.
3. Verify your implementation using targeted tests or inline assertions before submitting.
4. Call submit_patch only after your implementation is complete and verified.
5. As your final action, you must return a text-only response reporting your completion to terminate the session.
## Workspace Layout
The repository is located at `/workspace`. Here is the directory tree (up to 3 levels):
```
./CHANGELOG.md
./Legal.txt
./MANIFEST.in
./Makefile
./README.rst
./docs
./environment-ros3.yml
./license.txt
./requirements-dev.txt
./requirements-doc.txt
./requirements-min.txt
./requirements.txt
./scripts
./scripts/add_object_id.py
./setup.cfg
./setup.py
./src
./src/pynwb
./src/pynwb/__init__.py
./src/pynwb/_due.py
./src/pynwb/_version.py
./src/pynwb/base.py
./src/pynwb/behavior.py
./src/pynwb/core.py
./src/pynwb/device.py
./src/pynwb/ecephys.py
./src/pynwb/epoch.py
./src/pynwb/file.py
./src/pynwb/icephys.py
./src/pynwb/image.py
./src/pynwb/io
./src/pynwb/legacy
./src/pynwb/misc.py
./src/pynwb/nwb-schema
./src/pynwb/ogen.py
./src/pynwb/ophys.py
./src/pynwb/retinotopy.py
./src/pynwb/spec.py
./src/pynwb/testing
./src/pynwb/validate.py
./test.py
./tests
./tox.ini
./versioneer.py
```
Turn 1at 67 s628 tokens out3,802 prompt tokens
The user is reporting a `TypeError` when reading an NWB file using `pynwb.NWBHDF5IO().read()`.
The traceback points to `pynwb/__init__.py` in the `nwb_version` property:
```python
File "C:\users\thomas\Anaconda3\lib\site-packages\pynwb\__init__.py", line 280, in read
file_version_str, file_version = self.nwb_version
File "C:\users\thomas\Anaconda3\lib\site-packages\pynwb\__init__.py", line 262, in nwb_version
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
TypeError: a bytes-like object is required, not 'str'
```
Wait, the error is `TypeError: a bytes-like object is required, not 'str'`.
But looking at the code: `nwb_version_string.replace("-", ".").replace("_", ".").split(".")`
If `nwb_version_string` is a `str`, `.replace` should work.
If `nwb_version_string` is `bytes`, `.replace("-", ".")` would fail because `"-"` is a `str`.
Wait, `TypeError: a bytes-like object is required, not 'str'` usually happens when you call a method on `bytes` with a `str` argument, or vice versa.
Let's look at the error again:
`nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")`
If `nwb_version_string` is `bytes`, then `nwb_version_string.replace("-", ".")` will raise `TypeError: a bytes-like object is required, not 'str'`.
Looking at the HDF5 output provided:
```
ATTRIBUTE "nwb_version" {
DATATYPE H5T_STRING {
STRSIZE 5;
STRPAD H5T_STR_NULLPAD;
CSET H5T_CSET_UTF8;
CTYPE H5T_C_S1;
}
DATASPACE SCALAR
DATA {
(0): "2.2.4"
}
}
```
HDF5 strings can be returned as bytes in Python.
Let's find the code in `/workspace/src/pynwb/__init__.py`.
Phas 1: Pinpoint Code & Tests.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"nwb_version\" src/pynwb/ | grep -n \"replace\""
}Result of run_command 193 characters
{
"status": "ok",
"stdout": "8:src/pynwb/__init__.py:262: nwb_version_parts = nwb_version_string.replace(\"-\", \".\").replace(\"_\", \".\").split(\".\")\n",
"stderr": "",
"exit_code": 0
}Generated tokens 628 tokens · stopped: STOP
<|channel>thought
The user is reporting a `TypeError` when reading an NWB file using `pynwb.NWBHDF5IO().read()`.
The traceback points to `pynwb/__init__.py` in the `nwb_version` property:
```python
File "C:\users\thomas\Anaconda3\lib\site-packages\pynwb\__init__.py", line 280, in read
file_version_str, file_version = self.nwb_version
File "C:\users\thomas\Anaconda3\lib\site-packages\pynwb\__init__.py", line 262, in nwb_version
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
TypeError: a bytes-like object is required, not 'str'
```
Wait, the error is `TypeError: a bytes-like object is required, not 'str'`.
But looking at the code: `nwb_version_string.replace("-", ".").replace("_", ".").split(".")`
If `nwb_version_string` is a `str`, `.replace` should work.
If `nwb_version_string` is `bytes`, `.replace("-", ".")` would fail because `"-"` is a `str`.
Wait, `TypeError: a bytes-like object is required, not 'str'` usually happens when you call a method on `bytes` with a `str` argument, or vice versa.
Let's look at the error again:
`nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")`
If `nwb_version_string` is `bytes`, then `nwb_version_string.replace("-", ".")` will raise `TypeError: a bytes-like object is required, not 'str'`.
Looking at the HDF5 output provided:
```
ATTRIBUTE "nwb_version" {
DATATYPE H5T_STRING {
STRSIZE 5;
STRPAD H5T_STR_NULLPAD;
CSET H5T_CSET_UTF8;
CTYPE H5T_C_S1;
}
DATASPACE SCALAR
DATA {
(0): "2.2.4"
}
}
```
HDF5 strings can be returned as bytes in Python.
Let's find the code in `/workspace/src/pynwb/__init__.py`.
Phas 1: Pinpoint Code & Tests.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "nwb_version" src/pynwb/ | grep -n "replace"<|"|>}<tool_call|><|tool_response>
Turn 2at 74 s89 tokens out4,524 prompt tokens
Okay, the line is indeed in `src/pynwb/__init__.py` at line 262. Now let's read the context around that line in `src/pynwb/__init__.py`.
TOOL CALL · read_file
{
"end_line": 285,
"filepath": "src/pynwb/__init__.py",
"start_line": 240
}Result of read_file 2,481 characters
{
"status": "ok",
"filepath": "src/pynwb/__init__.py",
"content": " manager = get_manager()\n # Open the file\n super().__init__(path, manager=manager, mode=mode, file=file_obj, comm=comm, driver=driver)\n\n @property\n def nwb_version(self):\n \"\"\"\n Get the version of the NWB file opened via this NWBHDF5IO object.\n\n :returns: Tuple consisting of: 1) the original version string as stored in the file and\n 2) a tuple with the parsed components of the version string, consisting of integers\n and strings, e.g., (2, 5, 1, beta). (None, None) will be returned if the nwb_version\n is missing, e.g., in the case when no data has been written to the file yet.\n \"\"\"\n # Get the version string for the NWB file\n try:\n nwb_version_string = self._file.attrs['nwb_version']\n # KeyError occurs when the file is empty (e.g., when creating a new file nothing has been written)\n # or when the HDF5 file is not a valid NWB file\n except KeyError:\n return None, None\n # Parse the version string\n nwb_version_parts = nwb_version_string.replace(\"-\", \".\").replace(\"_\", \".\").split(\".\")\n nwb_version = tuple([int(i) if i.isnumeric() else i\n for i in nwb_version_parts])\n return nwb_version_string, nwb_version\n\n @docval(*get_docval(_HDF5IO.read),\n {'name': 'skip_version_check', 'type': bool, 'doc': 'skip checking of NWB version', 'default': False})\n def read(self, **kwargs):\n \"\"\"\n Read the NWB file from the IO source.\n\n :raises TypeError: If the NWB file version is missing or not supported\n\n :return: NWBFile container\n \"\"\"\n # Check that the NWB file is supported\n skip_verison_check = popargs('skip_version_check', kwargs)\n if not skip_verison_check:\n file_version_str, file_version = self.nwb_version\n if file_version is None:\n raise TypeError(\"Missing NWB version in file. The file is not a valid NWB file.\")\n if file_version[0] < 2:\n raise TypeError(\"NWB version %s not supported. PyNWB supports NWB files version 2 and above.\" %\n str(file_version_str))",
"start_line": 240,
"end_line": 285,
"total_lines": 384,
"is_truncated": false
}Generated tokens 89 tokens · stopped: STOP
Okay, the line is indeed in `src/pynwb/__init__.py` at line 262.
Now let's read the context around that line in `src/pynwb/__init__.py`.
<channel|><|tool_call>call:read_file{end_line:285,filepath:<|"|>src/pynwb/__init__.py<|"|>,start_line:240}<tool_call|><|tool_response>
Turn 3at 115 s611 tokens out5,342 prompt tokens
The code is:
```python
@property
def nwb_version(self):
# ...
# Get the version string for the NWB file
try:
nwb_version_string = self._file.attrs['nwb_version']
# KeyError occurs when the file is empty ...
except KeyError:
return None, None
# Parse the version string
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
# ...
```
If `nwb_version_string` is `bytes`, `nwb_version_string.replace("-", ".")` fails.
The fix should be to ensure `nwb_version_string` is converted to a `str` if it is `bytes`.
Wait, if I convert `nwb_version_string` to `str` at the beginning:
```python
try:
nwb_version_string = self._file.attrs['nwb_version']
if isinstance(nwb_version_string, bytes):
nwb_version_string = nwb_version_string.decode('utf-8')
except KeyError:
return None, None
```
Then `replace` and `split` will work on the string.
But wait, the return value is `return nwb_version_string, nwb_version`.
If the original value was `bytes`, should it return `bytes` or `str`?
The docstring says:
`:returns: Tuple consisting of: 1) the original version string as stored in the file and ...`
If it was bytes, returning the decoded string is probably fine and expected if the user wants the "version string".
Let's reproduce this first.
I need a dummy NWB file with a `nwb_version` attribute that is `bytes`.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport h5py\nimport pynwb\nimport os\n\nFILE_NAME = \"test_nwb_version.nwb\"\nwith h5py.File(FILE_NAME, 'w') as f:\n # Write nwb_version as bytes\n f.attrs['nwb_version'] = b'2.2.4'\n\ntry:\n io = pynwb.NWBHDF5IO(FILE_NAME, 'r')\n nwbfile = io.read()\n print(\"Successfully read NWB file\")\nexcept Exception as e:\n import traceback\n traceback.print_exc()\n\nif os.path.exists(FILE_NAME):\n os.remove(FILE_NAME)\nPY\n"
}Result of run_command 1,705 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "/pynwb/src/pynwb/__init__.py:25: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n from pkg_resources import resource_filename\nTraceback (most recent call last):\n File \"<stdin>\", line 2, in <module>\n File \"/pynwb/src/pynwb/__init__.py\", line 109, in <module>\n raise RuntimeError(\nRuntimeError: 'core' is not a registered namespace. If you installed PyNWB locally using a git clone, you need to use the --recurse_submodules flag when cloning. See developer installation instructions here: https://pynwb.readthedocs.io/en/stable/install_developers.html#install-from-git-repository\n",
"details": {
"stdout": "",
"stderr": "/pynwb/src/pynwb/__init__.py:25: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n from pkg_resources import resource_filename\nTraceback (most recent call last):\n File \"<stdin>\", line 2, in <module>\n File \"/pynwb/src/pynwb/__init__.py\", line 109, in <module>\n raise RuntimeError(\nRuntimeError: 'core' is not a registered namespace. If you installed PyNWB locally using a git clone, you need to use the --recurse_submodules flag when cloning. See developer installation instructions here: https://pynwb.readthedocs.io/en/stable/install_developers.html#install-from-git-repository\n",
"exit_code": 1
}
}Generated tokens 611 tokens · stopped: STOP
The code is:
```python
@property
def nwb_version(self):
# ...
# Get the version string for the NWB file
try:
nwb_version_string = self._file.attrs['nwb_version']
# KeyError occurs when the file is empty ...
except KeyError:
return None, None
# Parse the version string
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
# ...
```
If `nwb_version_string` is `bytes`, `nwb_version_string.replace("-", ".")` fails.
The fix should be to ensure `nwb_version_string` is converted to a `str` if it is `bytes`.
Wait, if I convert `nwb_version_string` to `str` at the beginning:
```python
try:
nwb_version_string = self._file.attrs['nwb_version']
if isinstance(nwb_version_string, bytes):
nwb_version_string = nwb_version_string.decode('utf-8')
except KeyError:
return None, None
```
Then `replace` and `split` will work on the string.
But wait, the return value is `return nwb_version_string, nwb_version`.
If the original value was `bytes`, should it return `bytes` or `str`?
The docstring says:
`:returns: Tuple consisting of: 1) the original version string as stored in the file and ...`
If it was bytes, returning the decoded string is probably fine and expected if the user wants the "version string".
Let's reproduce this first.
I need a dummy NWB file with a `nwb_version` attribute that is `bytes`.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import h5py
import pynwb
import os
FILE_NAME = "test_nwb_version.nwb"
with h5py.File(FILE_NAME, 'w') as f:
# Write nwb_version as bytes
f.attrs['nwb_version'] = b'2.2.4'
try:
io = pynwb.NWBHDF5IO(FILE_NAME, 'r')
nwbfile = io.read()
print("Successfully read NWB file")
except Exception as e:
import traceback
traceback.print_exc()
if os.path.exists(FILE_NAME):
os.remove(FILE_NAME)
PY
<|"|>}<tool_call|><|tool_response>
Turn 4at 130 s275 tokens out6,480 prompt tokens
It seems I cannot simply import `pynwb` because of the namespace registration issue. `RuntimeError: 'core' is not a registered namespace.` Wait, I am in `/workspace`. The source is in `/workspace/src/pynwb`. The current environment might not have `PYTHONPATH` set to `/workspace/src`. Let's try adding it.
TOOL CALL · run_command
{
"command": "PYTHONPATH=/workspace/src python3 - <<'PY'\nimport h5py\nimport pynwb\nimport os\n\nFILE_NAME = \"test_nwb_version.nwb\"\nwith h5py.File(FILE_NAME, 'w') as f:\n # Write nwb_version as bytes\n f.attrs['nwb_version'] = b'2.2.4'\n\ntry:\n io = pynwb.NWBHDF5IO(FILE_NAME, 'r')\n nwbfile = io.read()\n print(\"Successfully read NWB file\")\nexcept Exception as e:\n import traceback\n traceback.print_exc()\n\nif os.path.exists(FILE_NAME):\n os.remove(FILE_NAME)\nPY\n"
}Result of run_command 1,721 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "/workspace/src/pynwb/__init__.py:25: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n from pkg_resources import resource_filename\nTraceback (most recent call last):\n File \"<stdin>\", line 2, in <module>\n File \"/workspace/src/pynwb/__init__.py\", line 109, in <module>\n raise RuntimeError(\nRuntimeError: 'core' is not a registered namespace. If you installed PyNWB locally using a git clone, you need to use the --recurse_submodules flag when cloning. See developer installation instructions here: https://pynwb.readthedocs.io/en/stable/install_developers.html#install-from-git-repository\n",
"details": {
"stdout": "",
"stderr": "/workspace/src/pynwb/__init__.py:25: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n from pkg_resources import resource_filename\nTraceback (most recent call last):\n File \"<stdin>\", line 2, in <module>\n File \"/workspace/src/pynwb/__init__.py\", line 109, in <module>\n raise RuntimeError(\nRuntimeError: 'core' is not a registered namespace. If you installed PyNWB locally using a git clone, you need to use the --recurse_submodules flag when cloning. See developer installation instructions here: https://pynwb.readthedocs.io/en/stable/install_developers.html#install-from-git-repository\n",
"exit_code": 1
}
}Generated tokens 275 tokens · stopped: STOP
It seems I cannot simply import `pynwb` because of the namespace registration issue.
`RuntimeError: 'core' is not a registered namespace.`
Wait, I am in `/workspace`. The source is in `/workspace/src/pynwb`.
The current environment might not have `PYTHONPATH` set to `/workspace/src`.
Let's try adding it.
<channel|><|tool_call>call:run_command{command:<|"|>PYTHONPATH=/workspace/src python3 - <<'PY'
import h5py
import pynwb
import os
FILE_NAME = "test_nwb_version.nwb"
with h5py.File(FILE_NAME, 'w') as f:
# Write nwb_version as bytes
f.attrs['nwb_version'] = b'2.2.4'
try:
io = pynwb.NWBHDF5IO(FILE_NAME, 'r')
nwbfile = io.read()
print("Successfully read NWB file")
except Exception as e:
import traceback
traceback.print_exc()
if os.path.exists(FILE_NAME):
os.remove(FILE_NAME)
PY
<|"|>}<tool_call|><|tool_response>
Turn 5at 137 s114 tokens out7,274 prompt tokens
The "core" namespace is not registered. Wait, `src/pynwb/nwb-schema` exists. Inside `src/pynwb/__init__.py`, it probably tries to load namespaces from some directory. Let's check `src/pynwb/__init__.py` lines 90-120.
TOOL CALL · read_file
{
"end_line": 120,
"filepath": "src/pynwb/__init__.py",
"start_line": 90
}Result of read_file 1,299 characters
{
"status": "ok",
"filepath": "src/pynwb/__init__.py",
"content": " return BuildManager(type_map)\n\n\n@docval({'name': 'namespace_path', 'type': str, 'doc': 'the path to the YAML with the namespace definition'},\n returns=\"the namespaces loaded from the given file\", rtype=tuple,\n is_method=False)\ndef load_namespaces(**kwargs):\n '''\n Load namespaces from file\n '''\n namespace_path = getargs('namespace_path', kwargs)\n return __TYPE_MAP.load_namespaces(namespace_path)\n\n\n# load the core namespace, i.e. base NWB specification\n__resources = __get_resources()\nif os.path.exists(__resources['namespace_path']):\n load_namespaces(__resources['namespace_path'])\nelse:\n raise RuntimeError(\n \"'core' is not a registered namespace. If you installed PyNWB locally using a git clone, you need to \"\n \"use the --recurse_submodules flag when cloning. See developer installation instructions here: \"\n \"https://pynwb.readthedocs.io/en/stable/install_developers.html#install-from-git-repository\"\n )\n\n\ndef available_namespaces():\n \"\"\"Returns all namespaces registered in the namespace catalog\"\"\"\n return __NS_CATALOG.namespaces\n\n",
"start_line": 90,
"end_line": 120,
"total_lines": 384,
"is_truncated": false
}Generated tokens 114 tokens · stopped: STOP
The "core" namespace is not registered.
Wait, `src/pynwb/nwb-schema` exists.
Inside `src/pynwb/__init__.py`, it probably tries to load namespaces from some directory.
Let's check `src/pynwb/__init__.py` lines 90-120.
<channel|><|tool_call>call:read_file{end_line:120,filepath:<|"|>src/pynwb/__init__.py<|"|>,start_line:90}<tool_call|><|tool_response>
Turn 6at 145 s67 tokens out7,778 prompt tokens
It's failing because `__resources['namespace_path']` doesn't exist. Let's see where `__get_resources()` is defined.
TOOL CALL · run_command
{
"command": "grep -rn \"__get_resources\" src/pynwb/__init__.py"
}Result of run_command 157 characters
{
"status": "ok",
"stdout": "24:def __get_resources():\n33: return __get_resources()\n105:__resources = __get_resources()\n",
"stderr": "",
"exit_code": 0
}Generated tokens 67 tokens · stopped: STOP
It's failing because `__resources['namespace_path']` doesn't exist.
Let's see where `__get_resources()` is defined.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "__get_resources" src/pynwb/__init__.py<|"|>}<tool_call|><|tool_response>
Turn 7at 147 s61 tokens out7,918 prompt tokens
Let's read `__get_resources` in `src/pynwb/__init__.py`.
TOOL CALL · read_file
{
"end_line": 35,
"filepath": "src/pynwb/__init__.py",
"start_line": 20
}Result of read_file 609 characters
{
"status": "ok",
"filepath": "src/pynwb/__init__.py",
"content": "from .spec import NWBDatasetSpec, NWBGroupSpec, NWBNamespace # noqa E402\nfrom .validate import validate # noqa: F401, E402\n\n\ndef __get_resources():\n from pkg_resources import resource_filename\n ret = dict()\n ret['namespace_path'] = os.path.join(resource_filename(__name__, 'nwb-schema/core'), __core_ns_file_name)\n return ret\n\n\ndef _get_resources():\n # LEGACY: Needed to support legacy implementation.\n return __get_resources()\n\n",
"start_line": 20,
"end_line": 35,
"total_lines": 384,
"is_truncated": false
}Generated tokens 61 tokens · stopped: STOP
Let's read `__get_resources` in `src/pynwb/__init__.py`.
<channel|><|tool_call>call:read_file{end_line:35,filepath:<|"|>src/pynwb/__init__.py<|"|>,start_line:20}<tool_call|><|tool_response>
Turn 8at 170 s383 tokens out8,205 prompt tokens
It's using `pkg_resources.resource_filename`. This often fails if the package is not installed in the environment via `pip` or `setup.py install`. Since I'm running with `PYTHONPATH=/workspace/src`, I should maybe install it in editable mode first? No, I should avoid `pip`. Wait, I can just set the namespace path manually or bypass this check if I just want to test `nwb_version`. But `NWBHDF5IO` might need it. Alternatively, I can just mock `__resources['namespace_path']` or `load_namespaces`. Actually, the easiest way to reproduce this `TypeError` is to just call the `nwb_version` property on an object that has `_file.attrs['nwb_version']` as `bytes`. Let's try to create a minimal reproduction script that doesn't depend on the full `pynwb` initialization if possible, or just mock the necessary parts. The `nwb_version` property is on `NWBHDF5IO`. Let's see `NWBHDF5IO` definition. It's likely in `src/pynwb/__init__.py`. Wait, `NWBHDF5IO` is in `src/pynwb/__init__.py` (based on the traceback: `File "C:\users\thomas\Anaconda3\lib\site-packages\pynwb\__init__.py", line 280, in read`). Let's check `src/pynwb/__init__.py` again.
TOOL CALL · run_command
{
"command": "grep -n \"class NWBHDF5IO\" src/pynwb/__init__.py"
}Result of run_command 91 characters
{
"status": "ok",
"stdout": "194:class NWBHDF5IO(_HDF5IO):\n",
"stderr": "",
"exit_code": 0
}Generated tokens 383 tokens · stopped: STOP
It's using `pkg_resources.resource_filename`. This often fails if the package is not installed in the environment via `pip` or `setup.py install`.
Since I'm running with `PYTHONPATH=/workspace/src`, I should maybe install it in editable mode first? No, I should avoid `pip`.
Wait, I can just set the namespace path manually or bypass this check if I just want to test `nwb_version`.
But `NWBHDF5IO` might need it.
Alternatively, I can just mock `__resources['namespace_path']` or `load_namespaces`.
Actually, the easiest way to reproduce this `TypeError` is to just call the `nwb_version` property on an object that has `_file.attrs['nwb_version']` as `bytes`.
Let's try to create a minimal reproduction script that doesn't depend on the full `pynwb` initialization if possible, or just mock the necessary parts.
The `nwb_version` property is on `NWBHDF5IO`.
Let's see `NWBHDF5IO` definition. It's likely in `src/pynwb/__init__.py`.
Wait, `NWBHDF5IO` is in `src/pynwb/__init__.py` (based on the traceback: `File "C:\users\thomas\Anaconda3\lib\site-packages\pynwb\__init__.py", line 280, in read`).
Let's check `src/pynwb/__init__.py` again.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "class NWBHDF5IO" src/pynwb/__init__.py<|"|>}<tool_call|><|tool_response>
Turn 9at 173 s60 tokens out8,644 prompt tokens
It inherits from `_HDF5IO`. Let's see where `_HDF5IO` is.
TOOL CALL · run_command
{
"command": "grep -n \"class _HDF5IO\" src/pynwb/__init__.py"
}Result of run_command 127 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
}
}Generated tokens 60 tokens · stopped: STOP
It inherits from `_HDF5IO`. Let's see where `_HDF5IO` is.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "class _HDF5IO" src/pynwb/__init__.py<|"|>}<tool_call|><|tool_response>
Turn 10at 175 s53 tokens out8,759 prompt tokens
Maybe `_HDF5IO` is in another file? Let's search for it.
TOOL CALL · run_command
{
"command": "grep -rn \"class _HDF5IO\" src/pynwb/"
}Result of run_command 127 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
}
}Generated tokens 53 tokens · stopped: STOP
Maybe `_HDF5IO` is in another file? Let's search for it.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "class _HDF5IO" src/pynwb/<|"|>}<tool_call|><|tool_response>
Turn 11at 181 s111 tokens out8,867 prompt tokens
Wait, if it's not in `src/pynwb/`, where is it? Looking at `src/pynwb/__init__.py` again. Wait, I only grepped `src/pynwb/`. Let's look at the imports in `src/pynwb/__init__.py`.
TOOL CALL · read_file
{
"end_line": 190,
"filepath": "src/pynwb/__init__.py",
"start_line": 180
}Result of read_file 591 characters
{
"status": "ok",
"filepath": "src/pynwb/__init__.py",
"content": "\n `get_class` defines only the `__init__` for the class. In cases where you want to provide additional methods for\n querying, plotting, etc. you can still use `get_class` and attach methods to the class after-the-fact, e.g.::\n\n def get_sum(self, a, b):\n return self.feat1 + self.feat2\n\n MyClass.get_sum = get_sum\n\n \"\"\"\n neurodata_type, namespace = getargs('neurodata_type', 'namespace', kwargs)",
"start_line": 180,
"end_line": 190,
"total_lines": 384,
"is_truncated": false
}Generated tokens 111 tokens · stopped: STOP
Wait, if it's not in `src/pynwb/`, where is it?
Looking at `src/pynwb/__init__.py` again.
Wait, I only grepped `src/pynwb/`. Let's look at the imports in `src/pynwb/__init__.py`.
<channel|><|tool_call>call:read_file{end_line:190,filepath:<|"|>src/pynwb/__init__.py<|"|>,start_line:180}<tool_call|><|tool_response>
Turn 12at 184 s53 tokens out9,192 prompt tokens
I missed where `_HDF5IO` is defined. Let's search the whole `src` directory.
TOOL CALL · run_command
{
"command": "grep -rn \"class _HDF5IO\" src/"
}Result of run_command 127 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
}
}Generated tokens 53 tokens · stopped: STOP
I missed where `_HDF5IO` is defined. Let's search the whole `src` directory.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "class _HDF5IO" src/<|"|>}<tool_call|><|tool_response>
Turn 13at 188 s73 tokens out9,300 prompt tokens
That's strange. Let me read `src/pynwb/__init__.py` more carefully. I'll search for `_HDF5IO` in the file.
TOOL CALL · run_command
{
"command": "grep -n \"_HDF5IO\" src/pynwb/__init__.py"
}Result of run_command 188 characters
{
"status": "ok",
"stdout": "13:from hdmf.backends.hdf5 import HDF5IO as _HDF5IO\n194:class NWBHDF5IO(_HDF5IO):\n267: @docval(*get_docval(_HDF5IO.read),\n",
"stderr": "",
"exit_code": 0
}Generated tokens 73 tokens · stopped: STOP
That's strange. Let me read `src/pynwb/__init__.py` more carefully.
I'll search for `_HDF5IO` in the file.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "_HDF5IO" src/pynwb/__init__.py<|"|>}<tool_call|><|tool_response>
Turn 14at 223 s737 tokens out9,475 prompt tokens
Ah! `from hdmf.backends.hdf5 import HDF5IO as _HDF5IO`.
So it's from the `hdmf` package, which is likely installed in the environment.
So my reproduction script failed because `pynwb/__init__.py` has a top-level check for `core` namespace registration.
I can bypass it by mocking `__resources` or just not importing `pynwb`. Or better, just use a `unittest.mock` to patch the check.
Actually, I can just create a dummy class that has the `nwb_version` property and test it, since it's just a property.
But I want to be sure. Let's try to reproduce it by patching `pynwb.__resources`.
Wait, I can just use `python3 - <<'PY'` and manually define the `nwb_version` method or just mock the `NWBHDF5IO` object.
```python
import h5py
class MockNWBHDF5IO:
def __init__(self, filename):
self._file = h5py.File(filename, 'r')
@property
def nwb_version(self):
try:
nwb_version_string = self._file.attrs['nwb_version']
except KeyError:
return None, None
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
nwb_version = tuple([int(i) if i.isnumeric() else i
for i in nwb_version_parts])
return nwb_version_string, nwb_version
# ... test it ...
```
Let's try this.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport h5py\nimport os\n\nclass MockNWBHDF5IO:\n def __init__(self, filename):\n self._file = h5py.File(filename, 'r')\n\n @property\n def nwb_version(self):\n try:\n nwb_version_string = self._file.attrs['nwb_version']\n except KeyError:\n return None, None\n # This is the line we are testing\n nwb_version_parts = nwb_version_string.replace(\"-\", \".\").replace(\"_\", \".\").split(\".\")\n nwb_version = tuple([int(i) if i.isnumeric() else i\n for i in nwb_version_parts])\n return nwb_version_string, nwb_version\n\nFILE_NAME = \"test_nwb_version.nwb\"\nwith h5py.File(FILE_NAME, 'w') as f:\n # Write nwb_version as bytes\n f.attrs['nwb_version'] = b'2.2.4'\n\ntry:\n io = MockNWBHDF5IO(FILE_NAME)\n print(f\"nwb_version: {io.nwb_version}\")\nexcept Exception as e:\n import traceback\n traceback.print_exc()\n\nif os.path.exists(FILE_NAME):\n os.remove(FILE_NAME)\nPY\n"
}Result of run_command 95 characters
{
"status": "ok",
"stdout": "nwb_version: ('2.2.4', (2, 2, 4))\n",
"stderr": "",
"exit_code": 0
}Generated tokens 737 tokens · stopped: STOP
Ah! `from hdmf.backends.hdf5 import HDF5IO as _HDF5IO`.
So it's from the `hdmf` package, which is likely installed in the environment.
So my reproduction script failed because `pynwb/__init__.py` has a top-level check for `core` namespace registration.
I can bypass it by mocking `__resources` or just not importing `pynwb`. Or better, just use a `unittest.mock` to patch the check.
Actually, I can just create a dummy class that has the `nwb_version` property and test it, since it's just a property.
But I want to be sure. Let's try to reproduce it by patching `pynwb.__resources`.
Wait, I can just use `python3 - <<'PY'` and manually define the `nwb_version` method or just mock the `NWBHDF5IO` object.
```python
import h5py
class MockNWBHDF5IO:
def __init__(self, filename):
self._file = h5py.File(filename, 'r')
@property
def nwb_version(self):
try:
nwb_version_string = self._file.attrs['nwb_version']
except KeyError:
return None, None
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
nwb_version = tuple([int(i) if i.isnumeric() else i
for i in nwb_version_parts])
return nwb_version_string, nwb_version
# ... test it ...
```
Let's try this.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import h5py
import os
class MockNWBHDF5IO:
def __init__(self, filename):
self._file = h5py.File(filename, 'r')
@property
def nwb_version(self):
try:
nwb_version_string = self._file.attrs['nwb_version']
except KeyError:
return None, None
# This is the line we are testing
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
nwb_version = tuple([int(i) if i.isnumeric() else i
for i in nwb_version_parts])
return nwb_version_string, nwb_version
FILE_NAME = "test_nwb_version.nwb"
with h5py.File(FILE_NAME, 'w') as f:
# Write nwb_version as bytes
f.attrs['nwb_version'] = b'2.2.4'
try:
io = MockNWBHDF5IO(FILE_NAME)
print(f"nwb_version: {io.nwb_version}")
except Exception as e:
import traceback
traceback.print_exc()
if os.path.exists(FILE_NAME):
os.remove(FILE_NAME)
PY
<|"|>}<tool_call|><|tool_response>
Turn 15at 243 s446 tokens out10,272 prompt tokens
Wait, it worked?
`nwb_version: ('2.2.4', (2, 2, 4))`
Why did it work?
Ah, if I'm using a recent version of `h5py`, `f.attrs['nwb_version']` might already be returning a string instead of bytes.
Let's check the `h5py` version and the type of `nwb_version_string`.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport h5py\nimport os\n\nclass MockNWBHDF5IO:\n def __init__(self, filename):\n self._file = h5py.File(filename, 'r')\n\n @property\n def nwb_version(self):\n try:\n nwb_version_string = self._file.attrs['nwb_version']\n print(f\"Type of nwb_version_string: {type(nwb_version_string)}\")\n except KeyError:\n return None, None\n nwb_version_parts = nwb_version_string.replace(\"-\", \".\").replace(\"_\", \".\").split(\".\")\n nwb_version = tuple([int(i) if i.isnumeric() else i\n for i in nwb_version_parts])\n return nwb_version_string, nwb_version\n\nFILE_NAME = \"test_nwb_version.nwb\"\nwith h5py.File(FILE_NAME, 'w') as f:\n f.attrs['nwb_version'] = b'2.2.4'\n\ntry:\n io = MockNWBHDF5IO(FILE_NAME)\n print(f\"Result: {io.nwb_version}\")\nexcept Exception as e:\n import traceback\n traceback.print_exc()\n\nif os.path.exists(FILE_NAME):\n os.remove(FILE_NAME)\nPY\n"
}Result of run_command 133 characters
{
"status": "ok",
"stdout": "Type of nwb_version_string: <class 'str'>\nResult: ('2.2.4', (2, 2, 4))\n",
"stderr": "",
"exit_code": 0
}Generated tokens 446 tokens · stopped: STOP
Wait, it worked?
`nwb_version: ('2.2.4', (2, 2, 4))`
Why did it work?
Ah, if I'm using a recent version of `h5py`, `f.attrs['nwb_version']` might already be returning a string instead of bytes.
Let's check the `h5py` version and the type of `nwb_version_string`.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import h5py
import os
class MockNWBHDF5IO:
def __init__(self, filename):
self._file = h5py.File(filename, 'r')
@property
def nwb_version(self):
try:
nwb_version_string = self._file.attrs['nwb_version']
print(f"Type of nwb_version_string: {type(nwb_version_string)}")
except KeyError:
return None, None
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
nwb_version = tuple([int(i) if i.isnumeric() else i
for i in nwb_version_parts])
return nwb_version_string, nwb_version
FILE_NAME = "test_nwb_version.nwb"
with h5py.File(FILE_NAME, 'w') as f:
f.attrs['nwb_version'] = b'2.2.4'
try:
io = MockNWBHDF5IO(FILE_NAME)
print(f"Result: {io.nwb_version}")
except Exception as e:
import traceback
traceback.print_exc()
if os.path.exists(FILE_NAME):
os.remove(FILE_NAME)
PY
<|"|>}<tool_call|><|tool_response>
Turn 16at 260 s326 tokens out10,791 prompt tokens
So `h5py` is already decoding the bytes to `str`.
The user's environment must have an older `h5py` or a different configuration.
The traceback in the issue says:
`TypeError: a bytes-like object is required, not 'str'`
This happens when `nwb_version_string` is `bytes` and we call `.replace("-", ".")`.
If `nwb_version_string` was `bytes`, then `nwb_version_string.replace("-", ".")` would raise that `TypeError` because `.replace()` on `bytes` expects `bytes` as arguments.
To reproduce it with the current `h5py`, I can manually set `nwb_version_string` to `bytes`.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\ndef get_nwb_version(nwb_version_string):\n # Parse the version string\n nwb_version_parts = nwb_version_string.replace(\"-\", \".\").replace(\"_\", \".\").split(\".\")\n nwb_version = tuple([int(i) if i.isnumeric() else i\n for i in nwb_version_parts])\n return nwb_version_string, nwb_version\n\ntry:\n print(get_nwb_version(b'2.2.4'))\nexcept Exception as e:\n import traceback\n traceback.print_exc()\nPY\n"
}Result of run_command 240 characters
{
"status": "ok",
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"<stdin>\", line 9, in <module>\n File \"<stdin>\", line 3, in get_nwb_version\nTypeError: a bytes-like object is required, not 'str'\n",
"exit_code": 0
}Generated tokens 326 tokens · stopped: STOP
So `h5py` is already decoding the bytes to `str`.
The user's environment must have an older `h5py` or a different configuration.
The traceback in the issue says:
`TypeError: a bytes-like object is required, not 'str'`
This happens when `nwb_version_string` is `bytes` and we call `.replace("-", ".")`.
If `nwb_version_string` was `bytes`, then `nwb_version_string.replace("-", ".")` would raise that `TypeError` because `.replace()` on `bytes` expects `bytes` as arguments.
To reproduce it with the current `h5py`, I can manually set `nwb_version_string` to `bytes`.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
def get_nwb_version(nwb_version_string):
# Parse the version string
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
nwb_version = tuple([int(i) if i.isnumeric() else i
for i in nwb_version_parts])
return nwb_version_string, nwb_version
try:
print(get_nwb_version(b'2.2.4'))
except Exception as e:
import traceback
traceback.print_exc()
PY
<|"|>}<tool_call|><|tool_response>
Turn 17at 300 s811 tokens out11,215 prompt tokens
Perfect. This reproduces the `TypeError`.
Now I need to fix it in `src/pynwb/__init__.py`.
I'll modify the `nwb_version` property to handle `bytes` by decoding them to `utf-8`.
```python
@property
def nwb_version(self):
# ...
# Get the version string for the NWB file
try:
nwb_version_string = self._file.attrs['nwb_version']
# KeyError occurs when the file is empty ...
except KeyError:
return None, None
# FIX STARTS HERE
if isinstance(nwb_version_string, bytes):
nwb_version_string = nwb_version_string.decode('utf-8')
# FIX ENDS HERE
# Parse the version string
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
# ...
```
Wait, let's see if there are other places where `nwb_version` might be accessed or if there are other similar patterns.
The issue is specifically in `nwb_version` property of `NWBHDF5IO`.
Let's check if `NWBHDF5IO.read()` (where `nwb_version` is called) could be failing in other ways.
```python
def read(self, **kwargs):
# ...
if not skip_verison_check:
file_version_str, file_version = self.nwb_version
if file_version is None:
raise TypeError("Missing NWB version in file. The file is not a valid NWB file.")
if file_version[0] < 2:
raise TypeError("NWB version %s not supported. PyNWB supports NWB files version 2 and above." %
str(file_version_str))
```
If `nwb_version` returns `(decoded_str, parsed_tuple)`, this looks correct.
One more thing: `nwb_version_string` might not be `bytes` or `str`. But HDF5 attributes for strings are usually either.
Let's apply the fix.
TOOL CALL · edit_file
{
"filepath": "src/pynwb/__init__.py",
"new_string": " try:\n nwb_version_string = self._file.attrs['nwb_version']\n # KeyError occurs when the file is empty (e.g., when creating a new file nothing has been written)\n # or when the HDF5 file is not a valid NWB file\n except KeyError:\n return None, None\n\n if isinstance(nwb_version_string, bytes):\n nwb_version_string = nwb_version_string.decode('utf-8')\n\n # Parse the version string\n nwb_version_parts = nwb_version_string.replace(\"-\", \".\").replace(\"_\", \".\").split(\".\")",
"old_string": " try:\n nwb_version_string = self._file.attrs['nwb_version']\n # KeyError occurs when the file is empty (e.g., when creating a new file nothing has been written)\n # or when the HDF5 file is not a valid NWB file\n except KeyError:\n return None, None\n # Parse the version string\n nwb_version_parts = nwb_version_string.replace(\"-\", \".\").replace(\"_\", \".\").split(\".\")"
}Result of edit_file 658 characters
{
"status": "ok",
"filepath": "src/pynwb/__init__.py",
"occurrences": 1,
"strategy": "exact",
"diff": "--- a/src/pynwb/__init__.py\n+++ b/src/pynwb/__init__.py\n@@ -258,6 +258,10 @@\n # or when the HDF5 file is not a valid NWB file\n except KeyError:\n return None, None\n+\n+ if isinstance(nwb_version_string, bytes):\n+ nwb_version_string = nwb_version_string.decode('utf-8')\n+\n # Parse the version string\n nwb_version_parts = nwb_version_string.replace(\"-\", \".\").replace(\"_\", \".\").split(\".\")\n nwb_version = tuple([int(i) if i.isnumeric() else i\n",
"is_truncated": false
}Generated tokens 811 tokens · stopped: STOP
Perfect. This reproduces the `TypeError`.
Now I need to fix it in `src/pynwb/__init__.py`.
I'll modify the `nwb_version` property to handle `bytes` by decoding them to `utf-8`.
```python
@property
def nwb_version(self):
# ...
# Get the version string for the NWB file
try:
nwb_version_string = self._file.attrs['nwb_version']
# KeyError occurs when the file is empty ...
except KeyError:
return None, None
# FIX STARTS HERE
if isinstance(nwb_version_string, bytes):
nwb_version_string = nwb_version_string.decode('utf-8')
# FIX ENDS HERE
# Parse the version string
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
# ...
```
Wait, let's see if there are other places where `nwb_version` might be accessed or if there are other similar patterns.
The issue is specifically in `nwb_version` property of `NWBHDF5IO`.
Let's check if `NWBHDF5IO.read()` (where `nwb_version` is called) could be failing in other ways.
```python
def read(self, **kwargs):
# ...
if not skip_verison_check:
file_version_str, file_version = self.nwb_version
if file_version is None:
raise TypeError("Missing NWB version in file. The file is not a valid NWB file.")
if file_version[0] < 2:
raise TypeError("NWB version %s not supported. PyNWB supports NWB files version 2 and above." %
str(file_version_str))
```
If `nwb_version` returns `(decoded_str, parsed_tuple)`, this looks correct.
One more thing: `nwb_version_string` might not be `bytes` or `str`. But HDF5 attributes for strings are usually either.
Let's apply the fix.<channel|><|tool_call>call:edit_file{filepath:<|"|>src/pynwb/__init__.py<|"|>,new_string:<|"|> try:
nwb_version_string = self._file.attrs['nwb_version']
# KeyError occurs when the file is empty (e.g., when creating a new file nothing has been written)
# or when the HDF5 file is not a valid NWB file
except KeyError:
return None, None
if isinstance(nwb_version_string, bytes):
nwb_version_string = nwb_version_string.decode('utf-8')
# Parse the version string
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")<|"|>,old_string:<|"|> try:
nwb_version_string = self._file.attrs['nwb_version']
# KeyError occurs when the file is empty (e.g., when creating a new file nothing has been written)
# or when the HDF5 file is not a valid NWB file
except KeyError:
return None, None
# Parse the version string
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")<|"|>}<tool_call|><|tool_response>
Turn 18at 316 s172 tokens out12,275 prompt tokens
Now let's verify the fix. Since I can't easily import `pynwb` due to the namespace issue, I'll use a reproduction script that mocks the property and implements the logic, but I can also try to run it with the patched code by manually importing the class if I can bypass the namespace registration. Actually, the most reliable way to verify if the logic now works is to just run the reproduction script again but this time using the logic I just put into `src/pynwb/__init__.py`. Wait, I can just use a simple script to test the logic. But I should also check if there are any existing tests for `nwb_version`.
TOOL CALL · run_command
{
"command": "grep -rn \"nwb_version\" tests/"
}Result of run_command 6,287 characters
{
"status": "ok",
"stdout": "tests/unit/test_epoch_legacy.py:77: infile.attrs['nwb_version'] = '2.3.0'\ntests/integration/hdf5/test_io.py:59: 'nwb_version': DatasetBuilder('nwb_version', '1.0.6'),\ntests/integration/hdf5/test_io.py:166: 'nwb_version': DatasetBuilder('nwb_version', '1.0.6'),\ntests/integration/hdf5/test_io.py:421: def test_nwb_version_property(self):\ntests/integration/hdf5/test_io.py:422: \"\"\"Test reading of files with missing nwb_version\"\"\"\ntests/integration/hdf5/test_io.py:425: self.assertTupleEqual(io.nwb_version, (None, None))\ntests/integration/hdf5/test_io.py:436: io.attrs['nwb_version'] = ver[0]\ntests/integration/hdf5/test_io.py:437: # Assert expected result for nwb_version tuple\ntests/integration/hdf5/test_io.py:439: self.assertEqual(io.nwb_version[0], ver[0])\ntests/integration/hdf5/test_io.py:440: self.assertTupleEqual(io.nwb_version[1], ver[1])\ntests/integration/hdf5/test_io.py:443: del io.attrs['nwb_version']\ntests/integration/hdf5/test_io.py:445: self.assertTupleEqual(io.nwb_version, (None, None))\ntests/integration/hdf5/test_io.py:447: def test_check_nwb_version_ok(self):\ntests/integration/hdf5/test_io.py:452: self.assertIsNotNone(io.nwb_version[0])\ntests/integration/hdf5/test_io.py:453: self.assertIsNotNone(io.nwb_version[1])\ntests/integration/hdf5/test_io.py:454: self.assertGreater(io.nwb_version[1][0], 1)\ntests/integration/hdf5/test_io.py:458: def test_check_nwb_version_missing_version(self):\ntests/integration/hdf5/test_io.py:459: \"\"\"Test reading of files with missing nwb_version\"\"\"\ntests/integration/hdf5/test_io.py:465: del io.attrs['nwb_version']\ntests/integration/hdf5/test_io.py:477: def test_check_nwb_version_old_version(self):\ntests/integration/hdf5/test_io.py:484: io.attrs['nwb_version'] = \"1.0.5\"\ntests/integration/utils/test_io_utils.py:5:from pynwb.io.utils import get_nwb_version\ntests/integration/utils/test_io_utils.py:11: def test_get_nwb_version(self):\ntests/integration/utils/test_io_utils.py:14: builder1.set_attribute(name=\"nwb_version\", value=\"2.0.0\")\ntests/integration/utils/test_io_utils.py:17: assert get_nwb_version(builder1) == (2, 0, 0)\ntests/integration/utils/test_io_utils.py:18: assert get_nwb_version(builder2) == (2, 0, 0)\ntests/integration/utils/test_io_utils.py:20: def test_get_nwb_version_missing(self):\ntests/integration/utils/test_io_utils.py:21: \"\"\"Get the NWB version from a builder where the root builder does not have an nwb_version attribute.\"\"\"\ntests/integration/utils/test_io_utils.py:26: with pytest.raises(ValueError, match=\"'nwb_version' attribute is missing from the root of the NWB file.\"):\ntests/integration/utils/test_io_utils.py:27: get_nwb_version(builder1)\ntests/integration/utils/test_io_utils.py:29: with pytest.raises(ValueError, match=\"'nwb_version' attribute is missing from the root of the NWB file.\"):\ntests/integration/utils/test_io_utils.py:30: get_nwb_version(builder1)\ntests/integration/utils/test_io_utils.py:32: def test_get_nwb_version_prerelease_false(self):\ntests/integration/utils/test_io_utils.py:35: builder1.set_attribute(name=\"nwb_version\", value=\"2.0.0-alpha\")\ntests/integration/utils/test_io_utils.py:36: assert get_nwb_version(builder1) == (2, 0, 0)\ntests/integration/utils/test_io_utils.py:38: def test_get_nwb_version_prerelease_true1(self):\ntests/integration/utils/test_io_utils.py:41: builder1.set_attribute(name=\"nwb_version\", value=\"2.0.0-alpha\")\ntests/integration/utils/test_io_utils.py:42: assert get_nwb_version(builder1, include_prerelease=True) == (2, 0, 0, \"alpha\")\ntests/integration/utils/test_io_utils.py:44: def test_get_nwb_version_prerelease_true2(self):\ntests/integration/utils/test_io_utils.py:47: builder1.set_attribute(name=\"nwb_version\", value=\"2.0.0-alpha.sha-test.5114f85\")\ntests/integration/utils/test_io_utils.py:48: assert get_nwb_version(builder1, include_prerelease=True) == (2, 0, 0, \"alpha.sha-test.5114f85\")\ntests/integration/utils/test_io_utils.py:50: def test_get_nwb_version_20b(self):\ntests/integration/utils/test_io_utils.py:53: builder1.set_attribute(name=\"nwb_version\", value=\"2.0b\")\ntests/integration/utils/test_io_utils.py:54: assert get_nwb_version(builder1) == (2, 0, 0)\ntests/integration/utils/test_io_utils.py:55: assert get_nwb_version(builder1, include_prerelease=True) == (2, 0, 0, \"b\")\n",
"stderr": "grep: tests/back_compat/1.1.2_str_pub.nwb: binary file matches\ngrep: tests/back_compat/1.0.2_str_pub.nwb: binary file matches\ngrep: tests/back_compat/1.5.1_timeseries_no_unit.nwb: binary file matches\ngrep: tests/back_compat/1.1.2_str_experimenter.nwb: binary file matches\ngrep: tests/back_compat/1.1.0_str_experimenter.nwb: binary file matches\ngrep: tests/back_compat/2.1.0_imageseries_non_external_format.nwb: binary file matches\ngrep: tests/back_compat/1.0.3_str_pub.nwb: binary file matches\ngrep: tests/back_compat/1.5.1_timeseries_no_data.nwb: binary file matches\ngrep: tests/back_compat/1.0.2_str_experimenter.nwb: binary file matches\ngrep: tests/back_compat/1.0.3_str_experimenter.nwb: binary file matches\ngrep: tests/back_compat/1.5.1_imageseries_no_data.nwb: binary file matches\ngrep: tests/back_compat/1.1.0_str_pub.nwb: binary file matches\ngrep: tests/back_compat/2.2.0_subject_no_age__reference.nwb: binary file matches\ngrep: tests/back_compat/2.1.0_nwbfile_with_extension.nwb: binary file matches\ngrep: tests/back_compat/1.0.3_nwbfile.nwb: binary file matches\ngrep: tests/back_compat/1.5.1_imageseries_no_unit.nwb: binary file matches\ngrep: tests/back_compat/1.1.2_nwbfile.nwb: binary file matches\ngrep: tests/back_compat/1.0.2_nwbfile.nwb: binary file matches\ngrep: tests/back_compat/2.1.0_imageseries_no_data.nwb: binary file matches\ngrep: tests/back_compat/1.1.0_nwbfile.nwb: binary file matches\ngrep: tests/back_compat/2.1.0_imageseries_nonmatch_starting_frame.nwb: binary file matches\n",
"exit_code": 0
}Generated tokens 172 tokens · stopped: STOP
Now let's verify the fix.
Since I can't easily import `pynwb` due to the namespace issue, I'll use a reproduction script that mocks the property and implements the logic, but I can also try to run it with the patched code by manually importing the class if I can bypass the namespace registration.
Actually, the most reliable way to verify if the logic now works is to just run the reproduction script again but this time using the logic I just put into `src/pynwb/__init__.py`.
Wait, I can just use a simple script to test the logic.
But I should also check if there are any existing tests for `nwb_version`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "nwb_version" tests/<|"|>}<tool_call|><|tool_response>
Turn 19at 322 s109 tokens out14,806 prompt tokens
I see `tests/integration/hdf5/test_io.py` has `test_nwb_version_property`. Let's try to run `tests/integration/hdf5/test_io.py` and see if it passes. Since it's in `/tests`, I can run it with `pytest`.
TOOL CALL · run_command
{
"command": "pytest tests/integration/hdf5/test_io.py -q --tb=short --no-header"
}Result of run_command 3,053 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "\n==================================== ERRORS ====================================\n______________ ERROR collecting tests/integration/hdf5/test_io.py ______________\ntests/integration/hdf5/test_io.py:7: in <module>\n from pynwb import NWBFile, TimeSeries, get_manager, NWBHDF5IO, validate\n/pynwb/src/pynwb/__init__.py:109: in <module>\n raise RuntimeError(\nE RuntimeError: 'core' is not a registered namespace. If you installed PyNWB locally using a git clone, you need to use the --recurse_submodules flag when cloning. See developer installation instructions here: https://pynwb.readthedocs.io/en/stable/install_developers.html#install-from-git-repository\n=============================== warnings summary ===============================\n../pynwb/src/pynwb/__init__.py:25\n /pynwb/src/pynwb/__init__.py:25: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n from pkg_resources import resource_filename\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nERROR tests/integration/hdf5/test_io.py - RuntimeError: 'core' is not a regis...\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 warning, 1 error in 0.72s\n",
"details": {
"stdout": "\n==================================== ERRORS ====================================\n______________ ERROR collecting tests/integration/hdf5/test_io.py ______________\ntests/integration/hdf5/test_io.py:7: in <module>\n from pynwb import NWBFile, TimeSeries, get_manager, NWBHDF5IO, validate\n/pynwb/src/pynwb/__init__.py:109: in <module>\n raise RuntimeError(\nE RuntimeError: 'core' is not a registered namespace. If you installed PyNWB locally using a git clone, you need to use the --recurse_submodules flag when cloning. See developer installation instructions here: https://pynwb.readthedocs.io/en/stable/install_developers.html#install-from-git-repository\n=============================== warnings summary ===============================\n../pynwb/src/pynwb/__init__.py:25\n /pynwb/src/pynwb/__init__.py:25: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n from pkg_resources import resource_filename\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nERROR tests/integration/hdf5/test_io.py - RuntimeError: 'core' is not a regis...\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 warning, 1 error in 0.72s\n",
"stderr": "",
"exit_code": 2
}
}Generated tokens 109 tokens · stopped: STOP
I see `tests/integration/hdf5/test_io.py` has `test_nwb_version_property`.
Let's try to run `tests/integration/hdf5/test_io.py` and see if it passes.
Since it's in `/tests`, I can run it with `pytest`.<channel|><|tool_call>call:run_command{command:<|"|>pytest tests/integration/hdf5/test_io.py -q --tb=short --no-header<|"|>}<tool_call|><|tool_response>
Turn 20at 461 s951 tokens out6,943 prompt tokens
Ah, the `RuntimeError: 'core' is not a registered namespace` is what I saw before when I tried to import `pynwb`. This is because the environment isn't set up for `pynwb` to be imported as a package (missing `core` namespace registration). However, for this specific bug, I have a reproduction script that doesn't depend on the `pynwb` registration, because it mocks the HDF5 file and only uses the logic from `NWBHDF5IO.nwb_version`. But since I applied the fix to `src/pynwb/__init__.py`, I should verify that the code I actually changed is correct. I'll create a minimal reproduction script that is self-contained (copies the logic from the patched file) to verify the logic. Or better, since I can't easily run `pytest` on the actual `pynwb` package, I will write a script that manually mimics the `NWBHDF5IO` class. Wait, I can just use `python3 - <<'PY'` to run a test that replicates the `nwb_version` property logic.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport pytest\n\nclass MockFile:\n def __init__(self, attrs):\n self.attrs = attrs\n\nclass MockNWBHDF5IO:\n def __init__(self, file):\n self._file = file\n\n @property\n def nwb_version(self):\n try:\n nwb_version_string = self._file.attrs['nwb_version']\n except KeyError:\n return None, None\n\n if isinstance(nwb_version_string, bytes):\n nwb_version_string = nwb_version_string.decode('utf-8')\n\n # Parse the version string\n nwb_version_parts = nwb_version_string.replace(\"-\", \".\").replace(\"_\", \".\").split(\".\")\n nwb_version = tuple([int(i) if i.isnumeric() else i for i in nwb_version_parts])\n return nwb_version_string, nwb_version\n\ndef test_nwb_version_str():\n file = MockFile({'nwb_version': '2.0.0'})\n io = MockNWBHDF5IO(file)\n assert io.nwb_version == ('2.0.0', (2, 0, 0))\n\ndef test_nwb_version_bytes():\n file = MockFile({'nwb_version': b'2.0.0'})\n io = MockNWBHDF5IO(file)\n assert io.nwb_version == ('2.0.0', (2, 0, 0))\n\ndef test_nwb_version_bytes_complex():\n file = MockFile({'nwb_version': b'2.0.0-alpha'})\n io = MockNWBHDF5IO(file)\n # Based on the logic: replace(\"-\", \".\").replace(\"_\", \".\").split(\".\")\n # '2.0.0-alpha' -> '2.0.0.alpha' -> ['2', '0', '0', 'alpha']\n # nwb_version = (2, 0, 0, 'alpha')\n assert io.nwb_version == ('2.0.0-alpha', (2, 0, 0, 'alpha'))\n\ndef test_nwb_version_missing():\n file = MockFile({})\n io = MockNWBHDF5IO(file)\n assert io.nwb_version == (None, None)\n\nif __name__ == \"__main__\":\n try:\n test_nwb_version_str()\n test_nwb_version_bytes()\n test_nwb_version_bytes_complex()\n test_nwb_version_missing()\n print(\"All tests passed!\")\n except AssertionError as e:\n print(f\"Assertion failed: {e}\")\n exit(1)\n except Exception as e:\n print(f\"An error occurred: {e}\")\n exit(1)\nPY\n"
}Result of run_command 193 characters
{
"status": "ok",
"stdout": "All tests passed!\n",
"stderr": "",
"exit_code": 0,
"budget_warning": "Only 10 tool call(s) remaining (20/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 951 tokens · stopped: STOP
Ah, the `RuntimeError: 'core' is not a registered namespace` is what I saw before when I tried to import `pynwb`. This is because the environment isn't set up for `pynwb` to be imported as a package (missing `core` namespace registration).
However, for this specific bug, I have a reproduction script that doesn't depend on the `pynwb` registration, because it mocks the HDF5 file and only uses the logic from `NWBHDF5IO.nwb_version`.
But since I applied the fix to `src/pynwb/__init__.py`, I should verify that the code I actually changed is correct.
I'll create a minimal reproduction script that is self-contained (copies the logic from the patched file) to verify the logic. Or better, since I can't easily run `pytest` on the actual `pynwb` package, I will write a script that manually mimics the `NWBHDF5IO` class.
Wait, I can just use `python3 - <<'PY'` to run a test that replicates the `nwb_version` property logic.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import pytest
class MockFile:
def __init__(self, attrs):
self.attrs = attrs
class MockNWBHDF5IO:
def __init__(self, file):
self._file = file
@property
def nwb_version(self):
try:
nwb_version_string = self._file.attrs['nwb_version']
except KeyError:
return None, None
if isinstance(nwb_version_string, bytes):
nwb_version_string = nwb_version_string.decode('utf-8')
# Parse the version string
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
nwb_version = tuple([int(i) if i.isnumeric() else i for i in nwb_version_parts])
return nwb_version_string, nwb_version
def test_nwb_version_str():
file = MockFile({'nwb_version': '2.0.0'})
io = MockNWBHDF5IO(file)
assert io.nwb_version == ('2.0.0', (2, 0, 0))
def test_nwb_version_bytes():
file = MockFile({'nwb_version': b'2.0.0'})
io = MockNWBHDF5IO(file)
assert io.nwb_version == ('2.0.0', (2, 0, 0))
def test_nwb_version_bytes_complex():
file = MockFile({'nwb_version': b'2.0.0-alpha'})
io = MockNWBHDF5IO(file)
# Based on the logic: replace("-", ".").replace("_", ".").split(".")
# '2.0.0-alpha' -> '2.0.0.alpha' -> ['2', '0', '0', 'alpha']
# nwb_version = (2, 0, 0, 'alpha')
assert io.nwb_version == ('2.0.0-alpha', (2, 0, 0, 'alpha'))
def test_nwb_version_missing():
file = MockFile({})
io = MockNWBHDF5IO(file)
assert io.nwb_version == (None, None)
if __name__ == "__main__":
try:
test_nwb_version_str()
test_nwb_version_bytes()
test_nwb_version_bytes_complex()
test_nwb_version_missing()
print("All tests passed!")
except AssertionError as e:
print(f"Assertion failed: {e}")
exit(1)
except Exception as e:
print(f"An error occurred: {e}")
exit(1)
PY
<|"|>}<tool_call|><|tool_response>
Turn 21at 465 s75 tokens out7,973 prompt tokens
The logic is correct. Now I'll just double check if there are any other places where `nwb_version` string is read from attributes in `src/pynwb/`.
TOOL CALL · run_command
{
"command": "grep -rn \"attrs\\['nwb_version'\\]\" src/pynwb/"
}Result of run_command 265 characters
{
"status": "ok",
"stdout": "src/pynwb/__init__.py:256: nwb_version_string = self._file.attrs['nwb_version']\n",
"stderr": "",
"exit_code": 0,
"budget_warning": "Only 9 tool call(s) remaining (21/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 75 tokens · stopped: STOP
The logic is correct. Now I'll just double check if there are any other places where `nwb_version` string is read from attributes in `src/pynwb/`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "attrs\['nwb_version'\]" src/pynwb/<|"|>}<tool_call|><|tool_response>
Turn 22at 471 s109 tokens out8,156 prompt tokens
It only appears in `src/pynwb/__init__.py` at line 256. I should check if `get_nwb_version` in `src/pynwb/io/utils.py` (which I saw in the `grep` for `nwb_version` in tests) also needs this fix.
TOOL CALL · run_command
{
"command": "grep -rn \"nwb_version\" src/pynwb/io/utils.py"
}Result of run_command 1,319 characters
{
"status": "ok",
"stdout": "7:def get_nwb_version(builder: Builder, include_prerelease=False) -> Tuple[int, ...]:\n10: If the \"nwb_version\" attribute on the root builder equals \"2.5.1\", then (2, 5, 1) is returned.\n11: If the \"nwb_version\" attribute on the root builder equals \"2.5.1-alpha\" and include_prerelease=False,\n13: If the \"nwb_version\" attribute on the root builder equals \"2.5.1-alpha\" and include_prerelease=True,\n16: If the \"nwb_version\" attribute == \"2.0b\" (the only deviation from semantic versioning in the 2.x series), then\n25: :raises ValueError: if the 'nwb_version' attribute is missing from the root of the NWB file.\n31: nwb_version = root_builder.attributes.get(\"nwb_version\")\n32: if nwb_version is None:\n33: raise ValueError(\"'nwb_version' attribute is missing from the root of the NWB file.\")\n35: if nwb_version == \"2.0b\":\n40: nwb_version_match = re.match(r\"(\\d+\\.\\d+\\.\\d+)\", nwb_version)[0] # trim off any non-numeric symbols at end\n41: version_list = [int(i) for i in nwb_version_match.split(\".\")]\n43: prerelease_info = nwb_version[nwb_version.index(\"-\")+1:]\n",
"stderr": "",
"exit_code": 0,
"budget_warning": "Only 8 tool call(s) remaining (22/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 109 tokens · stopped: STOP
It only appears in `src/pynwb/__init__.py` at line 256.
I should check if `get_nwb_version` in `src/pynwb/io/utils.py` (which I saw in the `grep` for `nwb_version` in tests) also needs this fix.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "nwb_version" src/pynwb/io/utils.py<|"|>}<tool_call|><|tool_response>
Turn 23at 474 s53 tokens out8,743 prompt tokens
Let's read `src/pynwb/io/utils.py` to see if it needs a similar fix.
TOOL CALL · read_file
{
"filepath": "src/pynwb/io/utils.py"
}Result of read_file 2,414 characters
{
"status": "ok",
"filepath": "src/pynwb/io/utils.py",
"content": "import re\nfrom typing import Tuple\n\nfrom hdmf.build import Builder\n\n\ndef get_nwb_version(builder: Builder, include_prerelease=False) -> Tuple[int, ...]:\n \"\"\"Get the version of the NWB file from the root of the given builder, as a tuple.\n\n If the \"nwb_version\" attribute on the root builder equals \"2.5.1\", then (2, 5, 1) is returned.\n If the \"nwb_version\" attribute on the root builder equals \"2.5.1-alpha\" and include_prerelease=False,\n then (2, 5, 1) is returned.\n If the \"nwb_version\" attribute on the root builder equals \"2.5.1-alpha\" and include_prerelease=True,\n then (2, 5, 1, \"alpha\") is returned.\n\n If the \"nwb_version\" attribute == \"2.0b\" (the only deviation from semantic versioning in the 2.x series), then\n if include_prerelease=True, (2, 0, 0, \"b\") is returned; else, (2, 0, 0) is returned.\n\n :param builder: Any builder within an NWB file.\n :type builder: Builder\n :param include_prerelease: Whether to include prerelease information in the returned tuple.\n :type include_prerelease: bool\n :return: The version of the NWB file, as a tuple.\n :rtype: tuple\n :raises ValueError: if the 'nwb_version' attribute is missing from the root of the NWB file.\n \"\"\"\n temp_builder = builder\n while temp_builder.parent is not None:\n temp_builder = temp_builder.parent\n root_builder = temp_builder\n nwb_version = root_builder.attributes.get(\"nwb_version\")\n if nwb_version is None:\n raise ValueError(\"'nwb_version' attribute is missing from the root of the NWB file.\")\n # handle special non-semver case\n if nwb_version == \"2.0b\":\n if not include_prerelease:\n return (2, 0, 0)\n else:\n return (2, 0, 0, \"b\")\n nwb_version_match = re.match(r\"(\\d+\\.\\d+\\.\\d+)\", nwb_version)[0] # trim off any non-numeric symbols at end\n version_list = [int(i) for i in nwb_version_match.split(\".\")]\n if include_prerelease:\n prerelease_info = nwb_version[nwb_version.index(\"-\")+1:]\n version_list.append(prerelease_info)\n return tuple(version_list)",
"start_line": 1,
"end_line": 45,
"total_lines": 45,
"is_truncated": false,
"budget_warning": "Only 7 tool call(s) remaining (23/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 53 tokens · stopped: STOP
Let's read `src/pynwb/io/utils.py` to see if it needs a similar fix.
<channel|><|tool_call>call:read_file{filepath:<|"|>src/pynwb/io/utils.py<|"|>}<tool_call|><|tool_response>
Patch, tests and logs
Final code change Included
diff --git a/src/pynwb/__init__.py b/src/pynwb/__init__.py
index a5d3bdf..1875fb5 100644
--- a/src/pynwb/__init__.py
+++ b/src/pynwb/__init__.py
@@ -258,6 +258,10 @@ class NWBHDF5IO(_HDF5IO):
# or when the HDF5 file is not a valid NWB file
except KeyError:
return None, None
+
+ if isinstance(nwb_version_string, bytes):
+ nwb_version_string = nwb_version_string.decode('utf-8')
+
# Parse the version string
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
nwb_version = tuple([int(i) if i.isnumeric() else i
Test output Included
============================= test session starts ==============================
collected 22 items
tests/integration/hdf5/test_io.py ...................... [100%]
=============================== warnings summary ===============================
src/pynwb/__init__.py:25
/pynwb/src/pynwb/__init__.py:25: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
from pkg_resources import resource_filename
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
==================================== PASSES ====================================
- generated xml file: /tmp/rebench-grade-f2b674506f994be0941e1fc9b239dded.xml --
=========================== short test summary info ============================
PASSED tests/integration/hdf5/test_io.py::TestHDF5Writer::test_nwbio
PASSED tests/integration/hdf5/test_io.py::TestHDF5Writer::test_write_cache_spec
PASSED tests/integration/hdf5/test_io.py::TestHDF5Writer::test_write_clobber
PASSED tests/integration/hdf5/test_io.py::TestHDF5Writer::test_write_no_cache_spec
PASSED tests/integration/hdf5/test_io.py::TestHDF5WriterWithInjectedFile::test_nwbio
PASSED tests/integration/hdf5/test_io.py::TestHDF5WriterWithInjectedFile::test_write_cache_spec
PASSED tests/integration/hdf5/test_io.py::TestHDF5WriterWithInjectedFile::test_write_clobber
PASSED tests/integration/hdf5/test_io.py::TestAppend::test_append
PASSED tests/integration/hdf5/test_io.py::TestAppend::test_electrode_id_uniqueness
PASSED tests/integration/hdf5/test_io.py::TestH5DataIO::test_gzip_timestamps
PASSED tests/integration/hdf5/test_io.py::TestH5DataIO::test_write_dataset_custom_chunks
PASSED tests/integration/hdf5/test_io.py::TestH5DataIO::test_write_dataset_custom_compress
PASSED tests/integration/hdf5/test_io.py::TestH5DataIO::test_write_dataset_custom_fillvalue
PASSED tests/integration/hdf5/test_io.py::TestH5DataIO::test_write_dataset_datachunkiterator_data_and_time
PASSED tests/integration/hdf5/test_io.py::TestH5DataIO::test_write_dataset_datachunkiterator_data_only
PASSED tests/integration/hdf5/test_io.py::TestH5DataIO::test_write_dataset_datachunkiterator_with_compression
PASSED tests/integration/hdf5/test_io.py::TestNWBHDF5IO::test_check_nwb_version_missing_version
PASSED tests/integration/hdf5/test_io.py::TestNWBHDF5IO::test_check_nwb_version_ok
PASSED tests/integration/hdf5/test_io.py::TestNWBHDF5IO::test_check_nwb_version_old_version
PASSED tests/integration/hdf5/test_io.py::TestNWBHDF5IO::test_nwb_version_property
PASSED tests/integration/hdf5/test_io.py::TestNWBHDF5IO::test_round_trip_with_path_string
PASSED tests/integration/hdf5/test_io.py::TestNWBHDF5IO::test_round_trip_with_pathlib_path
======================== 22 passed, 1 warning in 3.00s =========================
Test errors Included
Test report (JUnit) Included
<?xml version="1.0" encoding="utf-8"?><testsuites name="pytest tests"><testsuite name="pytest" errors="0" failures="0" skipped="0" tests="722" time="2.999" timestamp="2026-11-14T04:42:31.684631+00:00" hostname="d6ac0aa4ebb4"><testcase classname="tests.integration.hdf5.test_io.TestHDF5Writer" name="test_nwbio" time="0.077" /><testcase classname="tests.integration.hdf5.test_io.TestHDF5Writer" name="test_write_cache_spec" time="0.185" /><testcase classname="tests.integration.hdf5.test_io.TestHDF5Writer" name="test_write_clobber" time="0.075" /><testcase classname="tests.integration.hdf5.test_io.TestHDF5Writer" name="test_write_no_cache_spec" time="0.018" /><testcase classname="tests.integration.hdf5.test_io.TestHDF5WriterWithInjectedFile" name="test_nwbio" time="0.074" /><testcase classname="tests.integration.hdf5.test_io.TestHDF5WriterWithInjectedFile" name="test_write_cache_spec" time="0.163" /><testcase classname="tests.integration.hdf5.test_io.TestHDF5WriterWithInjectedFile" name="test_write_clobber" time="0.076" /><testcase classname="tests.integration.hdf5.test_io.TestAppend" name="test_append" time="0.228" /><testcase classname="tests.integration.hdf5.test_io.TestAppend" name="test_electrode_id_uniqueness" time="0.012" /><testcase classname="tests.integration.hdf5.test_io.TestH5DataIO" name="test_gzip_timestamps" time="0.018" /><testcase classname="tests.integration.hdf5.test_io.TestH5DataIO" name="test_write_dataset_custom_chunks" time="0.018" /><testcase classname="tests.integration.hdf5.test_io.TestH5DataIO" name="test_write_dataset_custom_compress" time="0.017" /><testcase classname="tests.integration.hdf5.test_io.TestH5DataIO" name="test_write_dataset_custom_fillvalue" time="0.017" /><testcase classname="tests.integration.hdf5.test_io.TestH5DataIO" name="test_write_dataset_datachunkiterator_data_and_time" time="0.018" /><testcase classname="tests.integration.hdf5.test_io.TestH5DataIO" name="test_write_dataset_datachunkiterator_data_only" time="0.018" /><testcase classname="tests.integration.hdf5.test_io.TestH5DataIO" name="test_write_dataset_datachunkiterator_with_compression" time="0.018" /><testcase classname="tests.integration.hdf5.test_io.TestNWBHDF5IO" name="test_check_nwb_version_missing_version" time="0.082" /><testcase classname="tests.integration.hdf5.test_io.TestNWBHDF5IO" name="test_check_nwb_version_ok" time="0.079" /><testcase classname="tests.integration.hdf5.test_io.TestNWBHDF5IO" name="test_check_nwb_version_old_version" time="0.082" /><testcase classname="tests.integration.hdf5.test_io.TestNWBHDF5IO" name="test_nwb_version_property" time="0.089" /><testcase classname="tests.integration.hdf5.test_io.TestNWBHDF5IO" name="test_round_trip_with_path_string" time="0.079" /><testcase classname="tests.integration.hdf5.test_io.TestNWBHDF5IO" name="test_round_trip_with_pathlib_path" time="0.079" /></testsuite></testsuites>
Agent log Included
[ 0.0s] 📋 System Prompt: You are a principal Python software engineer resolving a repository issue in `/workspace`.
[ 0.0s] 🎯 Task Prompt: You are evaluating a software engineering task for repository NeurodataWithoutBorders/pynwb.
[ 29.7s] 💭 (1702 chars) "The user is reporting a `TypeError` when reading an NWB file using
`pynwb.NWBHDF5IO().read()`.
The traceback points to `..."
[ 29.7s] 🔧 run_command grep -rn --include="*.py" "nwb_version" src/pynwb/ | grep -n "replace"
[ 29.8s] → 8:src/pynwb/__init__.py:262: nwb_version_parts = nwb_version_string.replace("-",
".").replace("_", ".").split("."
[ 36.8s] 💭 (137 chars) "Okay, the line is indeed in `src/pynwb/__init__.py` at line 262.
Now let's read the context around that line in `src/py..."
[ 36.8s] 📖 read_file (src/pynwb/__init__.py)
[ 36.8s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/__init__.py', 'content': ' manager =
get_manager()\n # Ope…
[ 77.1s] 💭 (1503 chars) "The code is:
```python
@property
def nwb_version(self):
# ...
# Get the version string for the N..."
[ 77.1s] 🔧 run_command (21 lines) python3 - <<'PY'
[ 78.6s] → error (exit 0):
[ 92.3s] 💭 (307 chars) "It seems I cannot simply import `pynwb` because of the namespace registration issue.
`RuntimeError: 'core' is not a regi..."
[ 92.3s] 🔧 run_command (21 lines) PYTHONPATH=/workspace/src python3 - <<'PY'
[ 93.1s] → error (exit 0):
[ 99.6s] 💭 (217 chars) "The "core" namespace is not registered.
Wait, `src/pynwb/nwb-schema` exists.
Inside `src/pynwb/__init__.py`, it probably..."
[ 99.6s] 📖 read_file (src/pynwb/__init__.py)
[ 99.7s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/__init__.py', 'content': ' return
BuildManager(type_map)\n\n\n@docval({\'name…
[ 106.9s] 💭 (115 chars) "It's failing because `__resources['namespace_path']` doesn't exist.
Let's see where `__get_resources()` is defined."
[ 106.9s] 🔧 run_command grep -rn "__get_resources" src/pynwb/__init__.py
[ 106.9s] → 24:def __get_resources():
[ 109.0s] 💭 (56 chars) "Let's read `__get_resources` in `src/pynwb/__init__.py`."
[ 109.0s] 📖 read_file (src/pynwb/__init__.py)
[ 109.0s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/__init__.py', 'content': "from .spec import NWBDatasetSpec,
NWBGroupSpec, NWBNam…
[ 131.9s] 💭 (1148 chars) "It's using `pkg_resources.resource_filename`. This often fails if the package is not
installed in the environment via `p..."
[ 131.9s] 🔧 run_command grep -n "class NWBHDF5IO" src/pynwb/__init__.py
[ 132.0s] → 194:class NWBHDF5IO(_HDF5IO):
[ 135.0s] 💭 (57 chars) "It inherits from `_HDF5IO`. Let's see where `_HDF5IO` is."
[ 135.0s] 🔧 run_command grep -n "class _HDF5IO" src/pynwb/__init__.py
[ 135.1s] → error (exit 0):
[ 137.4s] 💭 (56 chars) "Maybe `_HDF5IO` is in another file? Let's search for it."
[ 137.4s] 🔧 run_command grep -rn "class _HDF5IO" src/pynwb/
[ 137.5s] → error (exit 0):
[ 143.0s] 💭 (179 chars) "Wait, if it's not in `src/pynwb/`, where is it?
Looking at `src/pynwb/__init__.py` again.
Wait, I only grepped `src/pyn..."
[ 143.0s] 📖 read_file (src/pynwb/__init__.py)
[ 143.1s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/__init__.py', 'content': '\n `get_class` defines only the
`__init__` for the …
[ 146.1s] 💭 (76 chars) "I missed where `_HDF5IO` is defined. Let's search the whole `src` directory."
[ 146.1s] 🔧 run_command grep -rn "class _HDF5IO" src/
[ 146.1s] → error (exit 0):
[ 150.4s] 💭 (106 chars) "That's strange. Let me read `src/pynwb/__init__.py` more carefully.
I'll search for `_HDF5IO` in the file."
[ 150.4s] 🔧 run_command grep -n "_HDF5IO" src/pynwb/__init__.py
[ 150.5s] → 13:from hdmf.backends.hdf5 import HDF5IO as _HDF5IO
[ 185.3s] 💭 (1308 chars) "Ah! `from hdmf.backends.hdf5 import HDF5IO as _HDF5IO`.
So it's from the `hdmf` package, which is likely installed in th..."
[ 185.3s] 🔧 run_command (35 lines) python3 - <<'PY'
[ 185.7s] → nwb_version: ('2.2.4', (2, 2, 4))
[ 205.4s] 💭 (264 chars) "Wait, it worked?
`nwb_version: ('2.2.4', (2, 2, 4))`
Why did it work?
Ah, if I'm using a recent version of `h5py`, `f.a..."
[ 205.4s] 🔧 run_command (34 lines) python3 - <<'PY'
[ 205.6s] → Type of nwb_version_string: <class 'str'>
[ 222.5s] 💭 (569 chars) "So `h5py` is already decoding the bytes to `str`.
The user's environment must have an older `h5py` or a different config..."
[ 222.5s] 🔧 run_command (14 lines) python3 - <<'PY'
[ 222.5s] 🔧
[ 262.8s] 💭 (1802 chars) "Perfect. This reproduces the `TypeError`.
Now I need to fix it in `src/pynwb/__init__.py`.
I'll modify the `nwb_versio..."
[ 262.8s] ✏️ edit_file (src/pynwb/__init__.py)
[ 263.0s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/__init__.py', 'occurrences': 1, 'strategy': 'exact', 'diff':
'--- a/src/pynwb/__…
[ 278.1s] 💭 (612 chars) "Now let's verify the fix.
Since I can't easily import `pynwb` due to the namespace issue, I'll use a reproduction script..."
[ 278.1s] 🔧 run_command grep -rn "nwb_version" tests/
[ 278.1s] → tests/unit/test_epoch_legacy.py:77: infile.attrs['nwb_version'] = '2.3.0'
[ 284.0s] 💭 (202 chars) "I see `tests/integration/hdf5/test_io.py` has `test_nwb_version_property`.
Let's try to run `tests/integration/hdf5/tes..."
[ 284.0s] 🔧 run_command pytest tests/integration/hdf5/test_io.py -q --tb=short --no-header
[ 285.1s] → error (exit 0):
[ 423.0s] 💭 (928 chars) "Ah, the `RuntimeError: 'core' is not a registered namespace` is what I saw before when I
tried to import `pynwb`. This i..."
[ 423.0s] 🔧 run_command (63 lines) python3 - <<'PY'
[ 423.1s] → All tests passed!
[ 427.3s] 💭 (146 chars) "The logic is correct. Now I'll just double check if there are any other places where
`nwb_version` string is read from a..."
[ 427.3s] 🔧 run_command grep -rn "attrs['nwb_version'\]" src/pynwb/
[ 427.3s] → src/pynwb/__init__.py:256: nwb_version_string = self._file.attrs['nwb_version']
[ 433.1s] 💭 (195 chars) "It only appears in `src/pynwb/__init__.py` at line 256.
I should check if `get_nwb_version` in `src/pynwb/io/utils.py` ..."
[ 433.1s] 🔧 run_command grep -rn "nwb_version" src/pynwb/io/utils.py
[ 433.1s] → 7:def get_nwb_version(builder: Builder, include_prerelease=False) -> Tuple[int, ...]:
[ 436.0s] 💭 (68 chars) "Let's read `src/pynwb/io/utils.py` to see if it needs a similar fix."
[ 436.0s] 📖 read_file (src/pynwb/io/utils.py)
[ 436.1s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/io/utils.py', 'content': 'import re\nfrom typing import
Tuple\n\nfrom hdmf.build…
Native result row
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"duration_seconds": 494.29,
"error": "Agent exceeded session timeout (7.5 min)",
"grade": {
"collected_tests": 22,
"competition_junit_ok": true,
"error": null,
"required_issues_count": 0,
"resolved": true,
"status_counts": {
"PASSED": 22
},
"strict_clean_patch": true,
"test_exit_code": 0
},
"instance_id": "neurodatawithoutborders__pynwb-1669",
"pass_idx": 0,
"patch_chars": 623,
"phase1_seconds": 489.93,
"repo": "NeurodataWithoutBorders/pynwb",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/neurodatawithoutborders__pynwb-1669__p0__r0.jsonl",
"resolved": true,
"rollout_idx": 0,
"run_key": "neurodatawithoutborders__pynwb-1669__p0__r0",
"strict_clean_patch": true,
"tool_calls": 23,
"total_llm_calls": 23,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_neurodatawithoutborders__pynwb-1669__p0__r0.json"
}