ROLLOUT 4 · NeurodataWithoutBorders/pynwb
neurodatawithoutborders__pynwb-1669
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24tool calls
24model calls
6,901tokens 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 30 s421 tokens out3,802 prompt tokens
The user is reporting a `TypeError: a bytes-like object is required, not 'str'` when parsing the `nwb_version` attribute of an NWB file.
Looking at the traceback:
```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 says `TypeError: a bytes-like object is required, not 'str'`, but the line it's complaining about is `nwb_version_string.replace("-", ".").replace("_", ".").split(".")`.
If `nwb_version_string` is a `bytes` object, calling `.replace("-", ".")` (with strings) would cause this error in Python 3 because `bytes.replace` expects bytes as arguments.
Wait, if `nwb_version_string` is `bytes`, then `nwb_version_string.replace("-", ".")` will fail because `"-"` is a `str`.
It should be `nwb_version_string.replace(b"-", b".").replace(b"_", b".").split(b".")` or it should be decoded to a string first.
Let's examine `src/pynwb/__init__.py`.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"nwb_version\" src/pynwb/"
}Result of run_command 2,803 characters
{
"status": "ok",
"stdout": "src/pynwb/icephys.py:15:def ensure_unit(self, name, current_unit, unit, nwb_version):\nsrc/pynwb/icephys.py:25: % (current_unit, self.__class__.__name__, name, unit, nwb_version))\nsrc/pynwb/icephys.py:218: def _ensure_stimulus_description(self, name, current_stim_desc, stim_desc, nwb_version):\nsrc/pynwb/icephys.py:228: % (current_stim_desc, self.__class__.__name__, name, stim_desc, nwb_version))\nsrc/pynwb/__init__.py:245: def nwb_version(self):\nsrc/pynwb/__init__.py:251: and strings, e.g., (2, 5, 1, beta). (None, None) will be returned if the nwb_version\nsrc/pynwb/__init__.py:256: nwb_version_string = self._file.attrs['nwb_version']\nsrc/pynwb/__init__.py:262: nwb_version_parts = nwb_version_string.replace(\"-\", \".\").replace(\"_\", \".\").split(\".\")\nsrc/pynwb/__init__.py:263: nwb_version = tuple([int(i) if i.isnumeric() else i\nsrc/pynwb/__init__.py:264: for i in nwb_version_parts])\nsrc/pynwb/__init__.py:265: return nwb_version_string, nwb_version\nsrc/pynwb/__init__.py:280: file_version_str, file_version = self.nwb_version\nsrc/pynwb/io/utils.py:7:def get_nwb_version(builder: Builder, include_prerelease=False) -> Tuple[int, ...]:\nsrc/pynwb/io/utils.py:10: If the \"nwb_version\" attribute on the root builder equals \"2.5.1\", then (2, 5, 1) is returned.\nsrc/pynwb/io/utils.py:11: If the \"nwb_version\" attribute on the root builder equals \"2.5.1-alpha\" and include_prerelease=False,\nsrc/pynwb/io/utils.py:13: If the \"nwb_version\" attribute on the root builder equals \"2.5.1-alpha\" and include_prerelease=True,\nsrc/pynwb/io/utils.py:16: If the \"nwb_version\" attribute == \"2.0b\" (the only deviation from semantic versioning in the 2.x series), then\nsrc/pynwb/io/utils.py:25: :raises ValueError: if the 'nwb_version' attribute is missing from the root of the NWB file.\nsrc/pynwb/io/utils.py:31: nwb_version = root_builder.attributes.get(\"nwb_version\")\nsrc/pynwb/io/utils.py:32: if nwb_version is None:\nsrc/pynwb/io/utils.py:33: raise ValueError(\"'nwb_version' attribute is missing from the root of the NWB file.\")\nsrc/pynwb/io/utils.py:35: if nwb_version == \"2.0b\":\nsrc/pynwb/io/utils.py:40: nwb_version_match = re.match(r\"(\\d+\\.\\d+\\.\\d+)\", nwb_version)[0] # trim off any non-numeric symbols at end\nsrc/pynwb/io/utils.py:41: version_list = [int(i) for i in nwb_version_match.split(\".\")]\nsrc/pynwb/io/utils.py:43: prerelease_info = nwb_version[nwb_version.index(\"-\")+1:]\nsrc/pynwb/io/file.py:8:from .utils import get_nwb_version\nsrc/pynwb/io/file.py:232: if get_nwb_version(builder) < (2, 6, 0):\n",
"stderr": "",
"exit_code": 0
}Generated tokens 421 tokens · stopped: STOP
<|channel>thought
The user is reporting a `TypeError: a bytes-like object is required, not 'str'` when parsing the `nwb_version` attribute of an NWB file.
Looking at the traceback:
```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 says `TypeError: a bytes-like object is required, not 'str'`, but the line it's complaining about is `nwb_version_string.replace("-", ".").replace("_", ".").split(".")`.
If `nwb_version_string` is a `bytes` object, calling `.replace("-", ".")` (with strings) would cause this error in Python 3 because `bytes.replace` expects bytes as arguments.
Wait, if `nwb_version_string` is `bytes`, then `nwb_version_string.replace("-", ".")` will fail because `"-"` is a `str`.
It should be `nwb_version_string.replace(b"-", b".").replace(b"_", b".").split(b".")` or it should be decoded to a string first.
Let's examine `src/pynwb/__init__.py`.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "nwb_version" src/pynwb/<|"|>}<tool_call|><|tool_response>
Turn 2at 38 s138 tokens out5,332 prompt tokens
The traceback indicated the error is in `src/pynwb/__init__.py`, line 262:
```python
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
```
If `nwb_version_string` is `bytes`, this will fail.
Let's examine `src/pynwb/__init__.py` around line 245.
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 138 tokens · stopped: STOP
The traceback indicated the error is in `src/pynwb/__init__.py`, line 262:
```python
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
```
If `nwb_version_string` is `bytes`, this will fail.
Let's examine `src/pynwb/__init__.py` around line 245.
<channel|><|tool_call>call:read_file{filepath:<|"|>src/pynwb/__init__.py<|"|>,start_line:240,end_line:285}<tool_call|><|tool_response>
Turn 3at 48 s170 tokens out6,199 prompt tokens
Yes, line 262 is:
```python
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
```
And `nwb_version_string` comes from `self._file.attrs['nwb_version']`.
In h5py, attributes can be returned as `bytes` depending on how they were written.
If `nwb_version_string` is `bytes`, we should decode it.
Let's see if there are other places where `nwb_version` is handled.
I saw `src/pynwb/io/utils.py`.
TOOL CALL · read_file
{
"filepath": "src/pynwb/io/utils.py"
}Result of read_file 2,301 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
}Generated tokens 170 tokens · stopped: STOP
Yes, line 262 is:
```python
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
```
And `nwb_version_string` comes from `self._file.attrs['nwb_version']`.
In h5py, attributes can be returned as `bytes` depending on how they were written.
If `nwb_version_string` is `bytes`, we should decode it.
Let's see if there are other places where `nwb_version` is handled.
I saw `src/pynwb/io/utils.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>src/pynwb/io/utils.py<|"|>}<tool_call|><|tool_response>
Turn 4at 75 s377 tokens out7,148 prompt tokens
In `get_nwb_version`, `nwb_version` is also retrieved from `root_builder.attributes.get("nwb_version")`.
If `nwb_version` is `bytes` here, `nwb_version == "2.0b"` will be `False` (in Python 3), and `re.match(r"(\d+\.\d+\.\d+)", nwb_version)` will fail if `nwb_version` is `bytes` because the pattern is a `str`.
Actually, `re.match` *can* work with bytes if the pattern is also bytes, but here the pattern is a string. If `nwb_version` is bytes, `re.match` will raise a `TypeError`.
Let's verify this with a reproduction script. I need a way to create an HDF5 file with a `bytes` attribute.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport h5py\nimport pynwb\n\n# Create a dummy NWB file\nwith h5py.File('repro.nwb', 'w') as f:\n # Write nwb_version as bytes\n f.attrs['nwb_version'] = b'2.2.4'\n\nprint(\"File created.\")\n\ntry:\n io = pynwb.NWBHDF5IO('repro.nwb', 'r')\n print(f\"nwb_version property: {io.nwb_version}\")\n nwbfile = io.read()\n print(\"Read successful\")\nexcept Exception as e:\n import traceback\n traceback.print_exc()\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 377 tokens · stopped: STOP
In `get_nwb_version`, `nwb_version` is also retrieved from `root_builder.attributes.get("nwb_version")`.
If `nwb_version` is `bytes` here, `nwb_version == "2.0b"` will be `False` (in Python 3), and `re.match(r"(\d+\.\d+\.\d+)", nwb_version)` will fail if `nwb_version` is `bytes` because the pattern is a `str`.
Actually, `re.match` *can* work with bytes if the pattern is also bytes, but here the pattern is a string. If `nwb_version` is bytes, `re.match` will raise a `TypeError`.
Let's verify this with a reproduction script. I need a way to create an HDF5 file with a `bytes` attribute.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import h5py
import pynwb
# Create a dummy NWB file
with h5py.File('repro.nwb', 'w') as f:
# Write nwb_version as bytes
f.attrs['nwb_version'] = b'2.2.4'
print("File created.")
try:
io = pynwb.NWBHDF5IO('repro.nwb', 'r')
print(f"nwb_version property: {io.nwb_version}")
nwbfile = io.read()
print("Read successful")
except Exception as e:
import traceback
traceback.print_exc()
PY
<|"|>}<tool_call|><|tool_response>
Turn 5at 87 s144 tokens out8,052 prompt tokens
It seems `pynwb` is not properly installed in the environment or the namespaces are missing. Wait, the error is `RuntimeError: 'core' is not a registered namespace`. Looking at `Workspace Layout`, I see `src/pynwb/nwb-schema`. The error message suggests that I should have used `--recurse_submodules`. If I am in the workspace, I should make sure the namespaces are available. Let's see what's in `src/pynwb/nwb-schema`.
TOOL CALL · run_command
{
"command": "ls -R src/pynwb/nwb-schema"
}Result of run_command 83 characters
{
"status": "ok",
"stdout": "src/pynwb/nwb-schema:\n",
"stderr": "",
"exit_code": 0
}Generated tokens 144 tokens · stopped: STOP
It seems `pynwb` is not properly installed in the environment or the namespaces are missing.
Wait, the error is `RuntimeError: 'core' is not a registered namespace`.
Looking at `Workspace Layout`, I see `src/pynwb/nwb-schema`.
The error message suggests that I should have used `--recurse_submodules`.
If I am in the workspace, I should make sure the namespaces are available.
Let's see what's in `src/pynwb/nwb-schema`.
<channel|><|tool_call>call:run_command{command:<|"|>ls -R src/pynwb/nwb-schema<|"|>}<tool_call|><|tool_response>
Turn 6at 96 s129 tokens out8,246 prompt tokens
Wait, `src/pynwb/nwb-schema` is empty? That's strange. Wait, maybe I should check how PyNWB is supposed to be installed or how it loads namespaces. The error is from `src/pynwb/__init__.py:109`. Let's look at `src/pynwb/__init__.py` around line 109.
TOOL CALL · read_file
{
"end_line": 120,
"filepath": "src/pynwb/__init__.py",
"start_line": 100
}Result of read_file 966 characters
{
"status": "ok",
"filepath": "src/pynwb/__init__.py",
"content": " 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": 100,
"end_line": 120,
"total_lines": 384,
"is_truncated": false
}Generated tokens 129 tokens · stopped: STOP
Wait, `src/pynwb/nwb-schema` is empty? That's strange.
Wait, maybe I should check how PyNWB is supposed to be installed or how it loads namespaces.
The error is from `src/pynwb/__init__.py:109`.
Let's look at `src/pynwb/__init__.py` around line 109.
<channel|><|tool_call>call:read_file{end_line:120,filepath:<|"|>src/pynwb/__init__.py<|"|>,start_line:100}<tool_call|><|tool_response>
Turn 7at 100 s62 tokens out8,673 prompt tokens
It's looking for `__resources['namespace_path']`. Let's see where `__get_resources()` is defined.
TOOL CALL · run_command
{
"command": "grep -n \"__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 62 tokens · stopped: STOP
It's looking for `__resources['namespace_path']`.
Let's see where `__get_resources()` is defined.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "__get_resources" src/pynwb/__init__.py<|"|>}<tool_call|><|tool_response>
Turn 8at 102 s49 tokens out8,808 prompt tokens
Let's read `__get_resources`.
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 49 tokens · stopped: STOP
Let's read `__get_resources`.
<channel|><|tool_call>call:read_file{end_line:35,filepath:<|"|>src/pynwb/__init__.py<|"|>,start_line:20}<tool_call|><|tool_response>
Turn 9at 111 s267 tokens out9,083 prompt tokens
It's using `resource_filename(__name__, 'nwb-schema/core')`. If I am running the script from outside the installed package, `resource_filename` might not work as expected if `src/pynwb` is not in the python path or installed. Let's try to set `PYTHONPATH`.
TOOL CALL · run_command
{
"command": "export PYTHONPATH=$PYTHONPATH:/workspace/src && python3 - <<'PY'\nimport h5py\nimport pynwb\nimport os\n\n# Create a dummy NWB file\nwith h5py.File('repro.nwb', 'w') as f:\n # Write nwb_version as bytes\n f.attrs['nwb_version'] = b'2.2.4'\n\nprint(\"File created.\")\n\ntry:\n io = pynwb.NWBHDF5IO('repro.nwb', 'r')\n print(f\"nwb_version property: {io.nwb_version}\")\n nwbfile = io.read()\n print(\"Read successful\")\nexcept Exception as e:\n import traceback\n traceback.print_exc()\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 267 tokens · stopped: STOP
It's using `resource_filename(__name__, 'nwb-schema/core')`.
If I am running the script from outside the installed package, `resource_filename` might not work as expected if `src/pynwb` is not in the python path or installed.
Let's try to set `PYTHONPATH`.
<channel|><|tool_call>call:run_command{command:<|"|>export PYTHONPATH=$PYTHONPATH:/workspace/src && python3 - <<'PY'
import h5py
import pynwb
import os
# Create a dummy NWB file
with h5py.File('repro.nwb', 'w') as f:
# Write nwb_version as bytes
f.attrs['nwb_version'] = b'2.2.4'
print("File created.")
try:
io = pynwb.NWBHDF5IO('repro.nwb', 'r')
print(f"nwb_version property: {io.nwb_version}")
nwbfile = io.read()
print("Read successful")
except Exception as e:
import traceback
traceback.print_exc()
PY
<|"|>}<tool_call|><|tool_response>
Turn 10at 134 s388 tokens out9,869 prompt tokens
The environment seems to have a broken installation of PyNWB (missing `nwb-schema/core`). This makes it hard to run `pynwb.NWBHDF5IO`.
Wait, I just need to reproduce the `TypeError`. I can do that by testing the `nwb_version` logic independently if I can mock the `_file` object.
The `nwb_version` property in `NWBHDF5IO` (it inherits from `_HDF5IO` likely, since `read` is defined in `NWBHDF5IO` in the traceback, let's check inheritance) does this:
```python
@property
def nwb_version(self):
# ...
try:
nwb_version_string = self._file.attrs['nwb_version']
except KeyError:
return None, None
# 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
```
I can reproduce this `TypeError` by simulating this logic.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nnwb_version_string = b'2.2.4'\ntry:\n nwb_version_parts = nwb_version_string.replace(\"-\", \".\").replace(\"_\", \".\").split(\".\")\n print(\"Success\")\nexcept TypeError as e:\n print(f\"Caught expected error: {e}\")\nPY\n"
}Result of run_command 127 characters
{
"status": "ok",
"stdout": "Caught expected error: a bytes-like object is required, not 'str'\n",
"stderr": "",
"exit_code": 0
}Generated tokens 388 tokens · stopped: STOP
The environment seems to have a broken installation of PyNWB (missing `nwb-schema/core`). This makes it hard to run `pynwb.NWBHDF5IO`.
Wait, I just need to reproduce the `TypeError`. I can do that by testing the `nwb_version` logic independently if I can mock the `_file` object.
The `nwb_version` property in `NWBHDF5IO` (it inherits from `_HDF5IO` likely, since `read` is defined in `NWBHDF5IO` in the traceback, let's check inheritance) does this:
```python
@property
def nwb_version(self):
# ...
try:
nwb_version_string = self._file.attrs['nwb_version']
except KeyError:
return None, None
# 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
```
I can reproduce this `TypeError` by simulating this logic.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
nwb_version_string = b'2.2.4'
try:
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")
print("Success")
except TypeError as e:
print(f"Caught expected error: {e}")
PY
<|"|>}<tool_call|><|tool_response>
Turn 11at 180 s799 tokens out10,312 prompt tokens
Perfect. So the bug is indeed that `nwb_version_string` can be `bytes`.
To fix this, we should ensure `nwb_version_string` is a string before calling `.replace()`.
If `nwb_version_string` is `bytes`, we can decode it. NWB versions are usually UTF-8 or ASCII.
```python
if isinstance(nwb_version_string, bytes):
nwb_version_string = nwb_version_string.decode('utf-8')
```
Wait, let's see if `nwb_version_string` can be something other than `str` or `bytes`. Usually h5py attributes are either scalars or arrays. Here it's likely a scalar string/bytes.
Let's check where else this happens.
In `src/pynwb/io/utils.py`:
```python
nwb_version = root_builder.attributes.get("nwb_version")
if nwb_version is None:
raise ValueError("'nwb_version' attribute is missing from the root of the NWB file.")
# handle special non-semver case
if nwb_version == "2.0b":
if not include_prerelease:
return (2, 0, 0)
else:
return (2, 0, 0, "b")
nwb_version_match = re.match(r"(\d+\.\d+\.\d+)", nwb_version)[0] # trim off any non-numeric symbols at end
version_list = [int(i) for i in nwb_version_match.split(".")]
```
If `nwb_version` is `bytes`, `nwb_version == "2.0b"` will be `False`.
Then `re.match(r"(\d+\.\d+\.\d+)", nwb_version)` will raise `TypeError: cannot use a string pattern on a bytes-like object`.
So I should also fix `src/pynwb/io/utils.py`.
Let's check if `pynwb.NWBHDF5IO` is the only class implementing `nwb_version` property.
In `src/pynwb/__init__.py`, I saw:
```python
class NWBHDF5IO(io.HDF5IO):
# ...
@property
def nwb_version(self):
# ...
```
Wait, I read `src/pynwb/__init__.py` and it had `nwb_version` property.
Let's check if `_HDF5IO` is defined in `src/pynwb/__init__.py`.
Looking at the `read` method in `src/pynwb/__init__.py`:
```python
@docval(*get_docval(_HDF5IO.read),
{'name': 'skip_version_check', 'type': bool, 'doc': 'skip checking of NWB version', 'default': False})
def read(self, **kwargs):
```
It seems `NWBHDF5IO` (or whatever class this is) uses `_HDF5IO.read`.
Wait, let's look at the `NWBHDF5IO` definition in `src/pynwb/__init__.py`.
TOOL CALL · read_file
{
"end_line": 240,
"filepath": "src/pynwb/__init__.py",
"start_line": 230
}Result of read_file 732 characters
{
"status": "ok",
"filepath": "src/pynwb/__init__.py",
"content": " # ns_catalog = NamespaceCatalog(NWBGroupSpec, NWBDatasetSpec, NWBNamespace)\n # super().load_namespaces(ns_catalog, path)\n # tm = TypeMap(ns_catalog)\n # tm.copy_mappers(get_type_map())\n else:\n if manager is not None and extensions is not None:\n raise ValueError(\"'manager' and 'extensions' cannot be specified together\")\n elif extensions is not None:\n manager = get_manager(extensions=extensions)\n elif manager is None:\n manager = get_manager()",
"start_line": 230,
"end_line": 240,
"total_lines": 384,
"is_truncated": false
}Generated tokens 799 tokens · stopped: STOP
Perfect. So the bug is indeed that `nwb_version_string` can be `bytes`.
To fix this, we should ensure `nwb_version_string` is a string before calling `.replace()`.
If `nwb_version_string` is `bytes`, we can decode it. NWB versions are usually UTF-8 or ASCII.
```python
if isinstance(nwb_version_string, bytes):
nwb_version_string = nwb_version_string.decode('utf-8')
```
Wait, let's see if `nwb_version_string` can be something other than `str` or `bytes`. Usually h5py attributes are either scalars or arrays. Here it's likely a scalar string/bytes.
Let's check where else this happens.
In `src/pynwb/io/utils.py`:
```python
nwb_version = root_builder.attributes.get("nwb_version")
if nwb_version is None:
raise ValueError("'nwb_version' attribute is missing from the root of the NWB file.")
# handle special non-semver case
if nwb_version == "2.0b":
if not include_prerelease:
return (2, 0, 0)
else:
return (2, 0, 0, "b")
nwb_version_match = re.match(r"(\d+\.\d+\.\d+)", nwb_version)[0] # trim off any non-numeric symbols at end
version_list = [int(i) for i in nwb_version_match.split(".")]
```
If `nwb_version` is `bytes`, `nwb_version == "2.0b"` will be `False`.
Then `re.match(r"(\d+\.\d+\.\d+)", nwb_version)` will raise `TypeError: cannot use a string pattern on a bytes-like object`.
So I should also fix `src/pynwb/io/utils.py`.
Let's check if `pynwb.NWBHDF5IO` is the only class implementing `nwb_version` property.
In `src/pynwb/__init__.py`, I saw:
```python
class NWBHDF5IO(io.HDF5IO):
# ...
@property
def nwb_version(self):
# ...
```
Wait, I read `src/pynwb/__init__.py` and it had `nwb_version` property.
Let's check if `_HDF5IO` is defined in `src/pynwb/__init__.py`.
Looking at the `read` method in `src/pynwb/__init__.py`:
```python
@docval(*get_docval(_HDF5IO.read),
{'name': 'skip_version_check', 'type': bool, 'doc': 'skip checking of NWB version', 'default': False})
def read(self, **kwargs):
```
It seems `NWBHDF5IO` (or whatever class this is) uses `_HDF5IO.read`.
Wait, let's look at the `NWBHDF5IO` definition in `src/pynwb/__init__.py`.
<channel|><|tool_call>call:read_file{end_line:240,filepath:<|"|>src/pynwb/__init__.py<|"|>,start_line:230}<tool_call|><|tool_response>
Turn 12at 183 s59 tokens out11,326 prompt tokens
I missed the class definition. Let's find where `class NWBHDF5IO` is.
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 59 tokens · stopped: STOP
I missed the class definition. Let's find where `class NWBHDF5IO` is.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "class NWBHDF5IO" src/pynwb/__init__.py<|"|>}<tool_call|><|tool_response>
Turn 13at 185 s45 tokens out11,441 prompt tokens
And `_HDF5IO`?
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 45 tokens · stopped: STOP
And `_HDF5IO`?
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "class _HDF5IO" src/pynwb/__init__.py<|"|>}<tool_call|><|tool_response>
Turn 14at 188 s48 tokens out11,541 prompt tokens
Maybe `_HDF5IO` is defined in another file or imported.
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 48 tokens · stopped: STOP
Maybe `_HDF5IO` is defined in another file or imported.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "class _HDF5IO" src/pynwb/<|"|>}<tool_call|><|tool_response>
Turn 15at 192 s70 tokens out11,645 prompt tokens
Let's check `src/pynwb/__init__.py` again to see where `_HDF5IO` comes from.
TOOL CALL · read_file
{
"end_line": 200,
"filepath": "src/pynwb/__init__.py",
"start_line": 150
}Result of read_file 2,454 characters
{
"status": "ok",
"filepath": "src/pynwb/__init__.py",
"content": " If mapper_cls is not specified, returns a decorator for registering an ObjectMapper class as the mapper for\n container_cls. If mapper_cls is specified, register the class as the mapper for container_cls\n \"\"\"\n container_cls, mapper_cls = getargs('container_cls', 'mapper_cls', kwargs)\n\n def _dec(cls):\n __TYPE_MAP.register_map(container_cls, cls)\n return cls\n if mapper_cls is None:\n return _dec\n else:\n _dec(mapper_cls)\n\n\n@docval({'name': 'neurodata_type', 'type': str, 'doc': 'the neurodata_type to get the NWBContainer class for'},\n {'name': 'namespace', 'type': str, 'doc': 'the namespace the neurodata_type is defined in'},\n is_method=False)\ndef get_class(**kwargs):\n \"\"\"\n Parse the YAML file for a given neurodata_type that is a subclass of NWBContainer and automatically generate its\n python API. This will work for most containers, but is known to not work for descendants of MultiContainerInterface\n and DynamicTable, so these must be defined manually (for now). `get_class` infers the API mapping directly from the\n specification. If you want to define a custom mapping, you should not use this function and you should define the\n class manually.\n\n Examples:\n\n Generating and registering an extension is as simple as::\n\n MyClass = get_class('MyClass', 'ndx-my-extension')\n\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)\n return __TYPE_MAP.get_dt_container_cls(neurodata_type, namespace)\n\n\nclass NWBHDF5IO(_HDF5IO):\n\n @docval({'name': 'path', 'type': (str, Path), 'doc': 'the path to the HDF5 file', 'default': None},\n {'name': 'mode', 'type': str,\n 'doc': 'the mode to open the HDF5 file with, one of (\"w\", \"r\", \"r+\", \"a\", \"w-\", \"x\")',\n 'default': 'r'},\n {'name': 'load_namespaces', 'type': bool,",
"start_line": 150,
"end_line": 200,
"total_lines": 384,
"is_truncated": false
}Generated tokens 70 tokens · stopped: STOP
Let's check `src/pynwb/__init__.py` again to see where `_HDF5IO` comes from.
<channel|><|tool_call>call:read_file{end_line:200,filepath:<|"|>src/pynwb/__init__.py<|"|>,start_line:150}<tool_call|><|tool_response>
Turn 16at 196 s100 tokens out12,468 prompt tokens
Wait, `NWBHDF5IO` inherits from `_HDF5IO`. If `_HDF5IO` is not in `src/pynwb/__init__.py`, it must be imported. Looking at the top of `src/pynwb/__init__.py`.
TOOL CALL · read_file
{
"end_line": 50,
"filepath": "src/pynwb/__init__.py",
"start_line": 1
}Result of read_file 1,737 characters
{
"status": "ok",
"filepath": "src/pynwb/__init__.py",
"content": "'''This package will contain functions, classes, and objects\nfor reading and writing data in NWB format\n'''\nimport os.path\nfrom pathlib import Path\nfrom copy import deepcopy\nfrom warnings import warn\nimport h5py\n\nfrom hdmf.spec import NamespaceCatalog\nfrom hdmf.utils import docval, getargs, popargs, get_docval\nfrom hdmf.backends.io import HDMFIO\nfrom hdmf.backends.hdf5 import HDF5IO as _HDF5IO\nfrom hdmf.build import BuildManager, TypeMap\nimport hdmf.common\n\nCORE_NAMESPACE = 'core'\n__core_ns_file_name = 'nwb.namespace.yaml'\n\nfrom .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\n# a global namespace catalog\nglobal __NS_CATALOG\nglobal __TYPE_MAP\n\n__NS_CATALOG = NamespaceCatalog(NWBGroupSpec, NWBDatasetSpec, NWBNamespace)\n\nhdmf_typemap = hdmf.common.get_type_map()\n__TYPE_MAP = TypeMap(__NS_CATALOG)\n__TYPE_MAP.merge(hdmf_typemap, ns_catalog=True)\n\n\n@docval({'name': 'extensions', 'type': (str, TypeMap, list),\n 'doc': 'a path to a namespace, a TypeMap, or a list consisting of paths to namespaces and TypeMaps',\n 'default': None},\n returns=\"TypeMap loaded for the given extension or NWB core namespace\", rtype=tuple,",
"start_line": 1,
"end_line": 50,
"total_lines": 384,
"is_truncated": false
}Generated tokens 100 tokens · stopped: STOP
Wait, `NWBHDF5IO` inherits from `_HDF5IO`. If `_HDF5IO` is not in `src/pynwb/__init__.py`, it must be imported.
Looking at the top of `src/pynwb/__init__.py`.<channel|><|tool_call>call:read_file{end_line:50,filepath:<|"|>src/pynwb/__init__.py<|"|>,start_line:1}<tool_call|><|tool_response>
Turn 17at 219 s526 tokens out13,154 prompt tokens
Ah, `from hdmf.backends.hdf5 import HDF5IO as _HDF5IO`.
So `_HDF5IO` is from `hdmf`.
Now let's fix `src/pynwb/__init__.py`. I'll add a check to ensure `nwb_version_string` is a string.
```python
# Get the version string for the NWB file
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(".")
```
Let's check `src/pynwb/io/utils.py` as well.
```python
nwb_version = root_builder.attributes.get("nwb_version")
if nwb_version is None:
raise ValueError("'nwb_version' attribute is missing from the root of the NWB file.")
if isinstance(nwb_version, bytes):
nwb_version = nwb_version.decode('utf-8')
# handle special non-semver case
if nwb_version == "2.0b":
# ...
```
Wait, I should check if `hdmf` does any decoding. But it seems it doesn't if `pynwb` is getting `bytes`.
Let's verify this fix with a small test script. Since I can't easily run the full `NWBHDF5IO` because of the namespace issue, I'll test the logic.
Wait, I can just use `pytest` on existing tests if any of them test `nwb_version`.
Let's search for tests that use `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 526 tokens · stopped: STOP
Ah, `from hdmf.backends.hdf5 import HDF5IO as _HDF5IO`.
So `_HDF5IO` is from `hdmf`.
Now let's fix `src/pynwb/__init__.py`. I'll add a check to ensure `nwb_version_string` is a string.
```python
# Get the version string for the NWB file
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(".")
```
Let's check `src/pynwb/io/utils.py` as well.
```python
nwb_version = root_builder.attributes.get("nwb_version")
if nwb_version is None:
raise ValueError("'nwb_version' attribute is missing from the root of the NWB file.")
if isinstance(nwb_version, bytes):
nwb_version = nwb_version.decode('utf-8')
# handle special non-semver case
if nwb_version == "2.0b":
# ...
```
Wait, I should check if `hdmf` does any decoding. But it seems it doesn't if `pynwb` is getting `bytes`.
Let's verify this fix with a small test script. Since I can't easily run the full `NWBHDF5IO` because of the namespace issue, I'll test the logic.
Wait, I can just use `pytest` on existing tests if any of them test `nwb_version`.
Let's search for tests that use `nwb_version`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "nwb_version" tests/<|"|>}<tool_call|><|tool_response>
Turn 18at 253 s749 tokens out16,039 prompt tokens
I can add a test case to `tests/integration/utils/test_io_utils.py` to reproduce the issue in `get_nwb_version`.
But first, let's apply the fixes.
In `src/pynwb/__init__.py`:
```python
# Get the version string for the NWB file
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(".")
```
to
```python
# Get the version string for the NWB file
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(".")
```
And in `src/pynwb/io/utils.py`:
```python
nwb_version = root_builder.attributes.get("nwb_version")
if nwb_version is None:
raise ValueError("'nwb_version' attribute is missing from the root of the NWB file.")
# handle special non-semver case
if nwb_version == "2.0b":
```
to
```python
nwb_version = root_builder.attributes.get("nwb_version")
if nwb_version is None:
raise ValueError("'nwb_version' attribute is missing from the root of the NWB file.")
if isinstance(nwb_version, bytes):
nwb_version = nwb_version.decode('utf-8')
# handle special non-semver case
if nwb_version == "2.0b":
```
Let's apply these changes.
TOOL CALL · edit_file
{
"filepath": "src/pynwb/__init__.py",
"new_string": " 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": " 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 666 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 749 tokens · stopped: STOP
I can add a test case to `tests/integration/utils/test_io_utils.py` to reproduce the issue in `get_nwb_version`.
But first, let's apply the fixes.
In `src/pynwb/__init__.py`:
```python
# Get the version string for the NWB file
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(".")
```
to
```python
# Get the version string for the NWB file
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(".")
```
And in `src/pynwb/io/utils.py`:
```python
nwb_version = root_builder.attributes.get("nwb_version")
if nwb_version is None:
raise ValueError("'nwb_version' attribute is missing from the root of the NWB file.")
# handle special non-semver case
if nwb_version == "2.0b":
```
to
```python
nwb_version = root_builder.attributes.get("nwb_version")
if nwb_version is None:
raise ValueError("'nwb_version' attribute is missing from the root of the NWB file.")
if isinstance(nwb_version, bytes):
nwb_version = nwb_version.decode('utf-8')
# handle special non-semver case
if nwb_version == "2.0b":
```
Let's apply these changes.<channel|><|tool_call>call:edit_file{filepath:<|"|>src/pynwb/__init__.py<|"|>,new_string:<|"|> 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:<|"|> except KeyError:
return None, None
# Parse the version string
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split(".")<|"|>}<tool_call|><|tool_response>
Turn 19at 316 s195 tokens out6,959 prompt tokens
Now `src/pynwb/io/utils.py`.
TOOL CALL · edit_file
{
"filepath": "src/pynwb/io/utils.py",
"new_string": " if nwb_version is None:\n raise ValueError(\"'nwb_version' attribute is missing from the root of the NWB file.\")\n\n if isinstance(nwb_version, bytes):\n nwb_version = nwb_version.decode('utf-8')\n\n # handle special non-semver case\n if nwb_version == \"2.0b\":",
"old_string": " 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\":"
}Result of edit_file 607 characters
{
"status": "ok",
"filepath": "src/pynwb/io/utils.py",
"occurrences": 1,
"strategy": "exact",
"diff": "--- a/src/pynwb/io/utils.py\n+++ b/src/pynwb/io/utils.py\n@@ -31,6 +31,10 @@\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+\n+ if isinstance(nwb_version, bytes):\n+ nwb_version = nwb_version.decode('utf-8')\n+\n # handle special non-semver case\n if nwb_version == \"2.0b\":\n if not include_prerelease:\n",
"is_truncated": false
}Generated tokens 195 tokens · stopped: STOP
Now `src/pynwb/io/utils.py`.
<channel|><|tool_call>call:edit_file{filepath:<|"|>src/pynwb/io/utils.py<|"|>,new_string:<|"|> if nwb_version is None:
raise ValueError("'nwb_version' attribute is missing from the root of the NWB file.")
if isinstance(nwb_version, bytes):
nwb_version = nwb_version.decode('utf-8')
# handle special non-semver case
if nwb_version == "2.0b":<|"|>,old_string:<|"|> if nwb_version is None:
raise ValueError("'nwb_version' attribute is missing from the root of the NWB file.")
# handle special non-semver case
if nwb_version == "2.0b":<|"|>}<tool_call|><|tool_response>
Turn 20at 348 s425 tokens out7,393 prompt tokens
Now let's run the reproduction script again with the fixes applied.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport h5py\nfrom pynwb import NWBHDF5IO\nfrom pynwb.io.utils import get_nwb_version\nfrom unittest.mock import MagicMock\n\ndef test_nwb_version_property():\n print(\"Testing NWBHDF5IO.nwb_version...\")\n mock_io = MagicMock(spec=NWBHDF5IO)\n mock_io._file = MagicMock()\n # Simulate bytes for nwb_version\n mock_io._file.attrs = {'nwb_version': b'2.0.0'}\n \n # We need to call the actual property method of NWBHDF5IO\n # Since we are mocking, we can't easily call the property.\n # Let's use a real NWBHDF5IO instance with a mock file.\n pass\n\ndef test_get_nwb_version():\n print(\"Testing get_nwb_version...\")\n mock_builder = MagicMock()\n # Simulate bytes for nwb_version\n mock_builder.attributes = {'nwb_version': b'2.0.0'}\n \n try:\n version = get_nwb_version(mock_builder)\n print(f\"Success: version is {version}\")\n assert version == (2, 0, 0)\n except Exception as e:\n print(f\"Failure: {e}\")\n raise e\n\nif __name__ == \"__main__\":\n try:\n test_get_nwb_version()\n print(\"All tests passed!\")\n except Exception as e:\n import traceback\n traceback.print_exc()\n exit(1)\nPY\n"
}Result of run_command 1,819 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
},
"budget_warning": "Only 10 tool call(s) remaining (20/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 425 tokens · stopped: STOP
Now let's run the reproduction script again with the fixes applied.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import h5py
from pynwb import NWBHDF5IO
from pynwb.io.utils import get_nwb_version
from unittest.mock import MagicMock
def test_nwb_version_property():
print("Testing NWBHDF5IO.nwb_version...")
mock_io = MagicMock(spec=NWBHDF5IO)
mock_io._file = MagicMock()
# Simulate bytes for nwb_version
mock_io._file.attrs = {'nwb_version': b'2.0.0'}
# We need to call the actual property method of NWBHDF5IO
# Since we are mocking, we can't easily call the property.
# Let's use a real NWBHDF5IO instance with a mock file.
pass
def test_get_nwb_version():
print("Testing get_nwb_version...")
mock_builder = MagicMock()
# Simulate bytes for nwb_version
mock_builder.attributes = {'nwb_version': b'2.0.0'}
try:
version = get_nwb_version(mock_builder)
print(f"Success: version is {version}")
assert version == (2, 0, 0)
except Exception as e:
print(f"Failure: {e}")
raise e
if __name__ == "__main__":
try:
test_get_nwb_version()
print("All tests passed!")
except Exception as e:
import traceback
traceback.print_exc()
exit(1)
PY
<|"|>}<tool_call|><|tool_response>
Turn 21at 364 s234 tokens out8,381 prompt tokens
Ah, the `pynwb` import is failing because of the namespace catalog. The `RuntimeError: 'core' is not a registered namespace` happens during the module-level initialization of `pynwb`. Since I only need to test `get_nwb_version` and it doesn't seem to depend on the global namespace catalog (it's in `pynwb.io.utils`), I should be able to import it if I avoid importing `pynwb` (top level). Let's try importing `get_nwb_version` directly from `src.pynwb.io.utils` or adding it to `PYTHONPATH`. Wait, if I import `pynwb.io.utils`, it might import `pynwb`? No, it's a subpackage. Let's check `src/pynwb/io/utils.py` imports.
TOOL CALL · read_file
{
"end_line": 20,
"filepath": "src/pynwb/io/utils.py",
"start_line": 1
}Result of read_file 1,206 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",
"start_line": 1,
"end_line": 20,
"total_lines": 49,
"is_truncated": false,
"budget_warning": "Only 9 tool call(s) remaining (21/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 234 tokens · stopped: STOP
Ah, the `pynwb` import is failing because of the namespace catalog. The `RuntimeError: 'core' is not a registered namespace` happens during the module-level initialization of `pynwb`.
Since I only need to test `get_nwb_version` and it doesn't seem to depend on the global namespace catalog (it's in `pynwb.io.utils`), I should be able to import it if I avoid importing `pynwb` (top level).
Let's try importing `get_nwb_version` directly from `src.pynwb.io.utils` or adding it to `PYTHONPATH`.
Wait, if I import `pynwb.io.utils`, it might import `pynwb`? No, it's a subpackage.
Let's check `src/pynwb/io/utils.py` imports.
<channel|><|tool_call>call:read_file{end_line:20,filepath:<|"|>src/pynwb/io/utils.py<|"|>,start_line:1}<tool_call|><|tool_response>
Turn 22at 376 s289 tokens out9,042 prompt tokens
It doesn't import `pynwb`. It imports `hdmf.build`. So I can just add `src` to `PYTHONPATH` and import `pynwb.io.utils`.
TOOL CALL · run_command
{
"command": "PYTHONPATH=src python3 - <<'PY'\nfrom pynwb.io.utils import get_nwb_version\nfrom unittest.mock import MagicMock\n\ndef test_get_nwb_version():\n print(\"Testing get_nwb_version...\")\n mock_builder = MagicMock()\n # Simulate bytes for nwb_version\n mock_builder.attributes = {'nwb_version': b'2.0.0'}\n \n try:\n version = get_nwb_version(mock_builder)\n print(f\"Success: version is {version}\")\n assert version == (2, 0, 0)\n except Exception as e:\n print(f\"Failure: {e}\")\n raise e\n\nif __name__ == \"__main__\":\n try:\n test_get_nwb_version()\n print(\"All tests passed!\")\n except Exception as e:\n import traceback\n traceback.print_exc()\n exit(1)\nPY\n"
}Result of run_command 1,834 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 1, 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 1, 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
},
"budget_warning": "Only 8 tool call(s) remaining (22/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 289 tokens · stopped: STOP
It doesn't import `pynwb`. It imports `hdmf.build`.
So I can just add `src` to `PYTHONPATH` and import `pynwb.io.utils`.
<channel|><|tool_call>call:run_command{command:<|"|>PYTHONPATH=src python3 - <<'PY'
from pynwb.io.utils import get_nwb_version
from unittest.mock import MagicMock
def test_get_nwb_version():
print("Testing get_nwb_version...")
mock_builder = MagicMock()
# Simulate bytes for nwb_version
mock_builder.attributes = {'nwb_version': b'2.0.0'}
try:
version = get_nwb_version(mock_builder)
print(f"Success: version is {version}")
assert version == (2, 0, 0)
except Exception as e:
print(f"Failure: {e}")
raise e
if __name__ == "__main__":
try:
test_get_nwb_version()
print("All tests passed!")
except Exception as e:
import traceback
traceback.print_exc()
exit(1)
PY
<|"|>}<tool_call|><|tool_response>
Turn 23at 393 s213 tokens out9,885 prompt tokens
It seems that importing `pynwb.io.utils` triggers the execution of `src/pynwb/__init__.py` because `pynwb` is a package. I can import from `pynwb.io.utils` by avoiding the `pynwb` package initialization if I import `pynwb.io.utils` using a trick or just import the function from the file directly. Wait, I can just use `pytest` on the existing tests! `tests/integration/utils/test_io_utils.py` uses `get_nwb_version`. Let's see if it runs. If it does, I can add a test case to it. Wait, the existing tests might also be failing with the same `RuntimeError`. Let's try running one of them.
TOOL CALL · run_command
{
"command": "pytest tests/integration/utils/test_io_utils.py -q --tb=short --no-header"
}Result of run_command 3,122 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "\n==================================== ERRORS ====================================\n__________ ERROR collecting tests/integration/utils/test_io_utils.py ___________\ntests/integration/utils/test_io_utils.py:5: in <module>\n from pynwb.io.utils import get_nwb_version\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/utils/test_io_utils.py - RuntimeError: 'core' is not ...\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 warning, 1 error in 0.63s\n",
"details": {
"stdout": "\n==================================== ERRORS ====================================\n__________ ERROR collecting tests/integration/utils/test_io_utils.py ___________\ntests/integration/utils/test_io_utils.py:5: in <module>\n from pynwb.io.utils import get_nwb_version\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/utils/test_io_utils.py - RuntimeError: 'core' is not ...\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 warning, 1 error in 0.63s\n",
"stderr": "",
"exit_code": 2
},
"budget_warning": "Only 7 tool call(s) remaining (23/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 213 tokens · stopped: STOP
It seems that importing `pynwb.io.utils` triggers the execution of `src/pynwb/__init__.py` because `pynwb` is a package.
I can import from `pynwb.io.utils` by avoiding the `pynwb` package initialization if I import `pynwb.io.utils` using a trick or just import the function from the file directly.
Wait, I can just use `pytest` on the existing tests! `tests/integration/utils/test_io_utils.py` uses `get_nwb_version`. Let's see if it runs. If it does, I can add a test case to it.
Wait, the existing tests might also be failing with the same `RuntimeError`. Let's try running one of them.
<channel|><|tool_call>call:run_command{command:<|"|>pytest tests/integration/utils/test_io_utils.py -q --tb=short --no-header<|"|>}<tool_call|><|tool_response>
Turn 24at 452 s1,004 tokens out10,992 prompt tokens
The `RuntimeError` seems to be a result of how the environment is set up for the tests. But since I'm tasked with fixing the `TypeError`, and I've already applied the fix to both identified locations, I can verify it by simply checking the diff and then submitting. Wait, I should at least try to verify my fix without the `pynwb` initialization. I can do this by mocking `hdmf.build.Builder` and importing `get_nwb_version` by reading the file and executing it, or just trusting my eyes. Actually, I can use `run_command` to execute the code of `get_nwb_version` directly.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport re\nfrom typing import Tuple\n\ndef get_nwb_version(builder, include_prerelease=False):\n nwb_version = 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\n if isinstance(nwb_version, bytes):\n nwb_version = nwb_version.decode('utf-8')\n\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\n # parse semantic version\n # handle cases like \"2.0.0\", \"2.0.0-alpha\", \"2.0.0_alpha\"\n # we just split by . - _\n nwb_version_parts = nwb_version.replace(\"-\", \".\").replace(\"_\", \".\").split(\".\")\n # keep only the first 3 numeric parts\n version_parts = []\n for part in nwb_version_parts:\n if part.isnumeric():\n version_parts.append(int(part))\n else:\n break\n \n # if we have less than 3 parts, it's an invalid version or a very old one.\n # but we'll just return what we have.\n \n if include_prerelease and len(nwb_version_parts) > len(version_parts):\n # the prerelease is everything after the numeric part, joined back together\n # actually, we just want the first non-numeric part\n prerelease = nwb_version_parts[len(version_parts)]\n return tuple(version_parts) + (prerelease,)\n \n return tuple(version_parts)\n\nclass MockBuilder:\n def __init__(self, attrs):\n self.attributes = MagicMockAttrs(attrs)\n\nclass MagicMockAttrs:\n def __init__(self, attrs):\n self.attrs = attrs\n def get(self, key):\n return self.attrs.get(key)\n\ndef test_get_nwb_version():\n print(\"Testing get_nwb_version...\")\n builder = MockBuilder({'nwb_version': b'2.0.0'})\n version = get_nwb_version(builder)\n print(f\"Result for b'2.0.0': {version}\")\n assert version == (2, 0, 0)\n \n builder = MockBuilder({'nwb_version': b'2.5.1-alpha'})\n version = get_nwb_version(builder, include_prerelease=True)\n print(f\"Result for b'2.5.1-alpha' (prerelease=True): {version}\")\n assert version == (2, 5, 1, \"alpha\")\n \n builder = MockBuilder({'nwb_version': b'2.0b'})\n version = get_nwb_version(builder, include_prerelease=True)\n print(f\"Result for b'2.0b' (prerelease=True): {version}\")\n assert version == (2, 0, 0, \"b\")\n\nif __name__ == \"__main__\":\n try:\n test_get_nwb_version()\n print(\"All tests passed!\")\n except Exception as e:\n import traceback\n traceback.print_exc()\n exit(1)\nPY\n"
}Result of run_command 371 characters
{
"status": "ok",
"stdout": "Testing get_nwb_version...\nResult for b'2.0.0': (2, 0, 0)\nResult for b'2.5.1-alpha' (prerelease=True): (2, 5, 1, 'alpha')\nResult for b'2.0b' (prerelease=True): (2, 0, 0, 'b')\nAll tests passed!\n",
"stderr": "",
"exit_code": 0,
"budget_warning": "Only 6 tool call(s) remaining (24/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 1,004 tokens · stopped: STOP
The `RuntimeError` seems to be a result of how the environment is set up for the tests. But since I'm tasked with fixing the `TypeError`, and I've already applied the fix to both identified locations, I can verify it by simply checking the diff and then submitting.
Wait, I should at least try to verify my fix without the `pynwb` initialization. I can do this by mocking `hdmf.build.Builder` and importing `get_nwb_version` by reading the file and executing it, or just trusting my eyes.
Actually, I can use `run_command` to execute the code of `get_nwb_version` directly.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import re
from typing import Tuple
def get_nwb_version(builder, include_prerelease=False):
nwb_version = builder.attributes.get("nwb_version")
if nwb_version is None:
raise ValueError("'nwb_version' attribute is missing from the root of the NWB file.")
if isinstance(nwb_version, bytes):
nwb_version = nwb_version.decode('utf-8')
# handle special non-semver case
if nwb_version == "2.0b":
if not include_prerelease:
return (2, 0, 0)
else:
return (2, 0, 0, "b")
# parse semantic version
# handle cases like "2.0.0", "2.0.0-alpha", "2.0.0_alpha"
# we just split by . - _
nwb_version_parts = nwb_version.replace("-", ".").replace("_", ".").split(".")
# keep only the first 3 numeric parts
version_parts = []
for part in nwb_version_parts:
if part.isnumeric():
version_parts.append(int(part))
else:
break
# if we have less than 3 parts, it's an invalid version or a very old one.
# but we'll just return what we have.
if include_prerelease and len(nwb_version_parts) > len(version_parts):
# the prerelease is everything after the numeric part, joined back together
# actually, we just want the first non-numeric part
prerelease = nwb_version_parts[len(version_parts)]
return tuple(version_parts) + (prerelease,)
return tuple(version_parts)
class MockBuilder:
def __init__(self, attrs):
self.attributes = MagicMockAttrs(attrs)
class MagicMockAttrs:
def __init__(self, attrs):
self.attrs = attrs
def get(self, key):
return self.attrs.get(key)
def test_get_nwb_version():
print("Testing get_nwb_version...")
builder = MockBuilder({'nwb_version': b'2.0.0'})
version = get_nwb_version(builder)
print(f"Result for b'2.0.0': {version}")
assert version == (2, 0, 0)
builder = MockBuilder({'nwb_version': b'2.5.1-alpha'})
version = get_nwb_version(builder, include_prerelease=True)
print(f"Result for b'2.5.1-alpha' (prerelease=True): {version}")
assert version == (2, 5, 1, "alpha")
builder = MockBuilder({'nwb_version': b'2.0b'})
version = get_nwb_version(builder, include_prerelease=True)
print(f"Result for b'2.0b' (prerelease=True): {version}")
assert version == (2, 0, 0, "b")
if __name__ == "__main__":
try:
test_get_nwb_version()
print("All tests passed!")
except Exception as e:
import traceback
traceback.print_exc()
exit(1)
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..eed6ae5 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
diff --git a/src/pynwb/io/utils.py b/src/pynwb/io/utils.py
index 23b41b6..72852d2 100644
--- a/src/pynwb/io/utils.py
+++ b/src/pynwb/io/utils.py
@@ -31,6 +31,10 @@ def get_nwb_version(builder: Builder, include_prerelease=False) -> Tuple[int, ..
nwb_version = root_builder.attributes.get("nwb_version")
if nwb_version is None:
raise ValueError("'nwb_version' attribute is missing from the root of the NWB file.")
+
+ if isinstance(nwb_version, bytes):
+ nwb_version = nwb_version.decode('utf-8')
+
# handle special non-semver case
if nwb_version == "2.0b":
if not include_prerelease:
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-9018f4c04ea44a3fbdacaa162de20b84.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 3.05s =========================
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="3.047" timestamp="2026-11-14T04:42:51.274709+00:00" hostname="2aad02468c21"><testcase classname="tests.integration.hdf5.test_io.TestHDF5Writer" name="test_nwbio" time="0.078" /><testcase classname="tests.integration.hdf5.test_io.TestHDF5Writer" name="test_write_cache_spec" time="0.186" /><testcase classname="tests.integration.hdf5.test_io.TestHDF5Writer" name="test_write_clobber" time="0.077" /><testcase classname="tests.integration.hdf5.test_io.TestHDF5Writer" name="test_write_no_cache_spec" time="0.019" /><testcase classname="tests.integration.hdf5.test_io.TestHDF5WriterWithInjectedFile" name="test_nwbio" time="0.075" /><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="0.075" /><testcase classname="tests.integration.hdf5.test_io.TestAppend" name="test_append" time="0.230" /><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="0.088" /><testcase classname="tests.integration.hdf5.test_io.TestNWBHDF5IO" name="test_round_trip_with_path_string" time="0.078" /><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.
[ 23.0s] 💭 (1215 chars) "The user is reporting a `TypeError: a bytes-like object is required, not 'str'` when
parsing the `nwb_version` attribute..."
[ 23.0s] 🔧 run_command grep -rn --include="*.py" "nwb_version" src/pynwb/
[ 23.0s] → src/pynwb/icephys.py:15:def ensure_unit(self, name, current_unit, unit, nwb_version):
[ 30.7s] 💭 (282 chars) "The traceback indicated the error is in `src/pynwb/__init__.py`, line 262:
```python
nwb_version_parts = nwb_version_str..."
[ 30.7s] 📖 read_file (src/pynwb/__init__.py)
[ 30.8s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/__init__.py', 'content': ' manager =
get_manager()\n # Ope…
[ 41.3s] 💭 (437 chars) "Yes, line 262 is:
```python
nwb_version_parts = nwb_version_string.replace("-", ".").replace("_", ".").split("."..."
[ 41.3s] 📖 read_file (src/pynwb/io/utils.py)
[ 41.3s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/io/utils.py', 'content': 'import re\nfrom typing import
Tuple\n\nfrom hdmf.build…
[ 68.5s] 💭 (592 chars) "In `get_nwb_version`, `nwb_version` is also retrieved from
`root_builder.attributes.get("nwb_version")`.
If `nwb_version..."
[ 68.5s] 🔧 run_command (20 lines) python3 - <<'PY'
[ 70.0s] → error (exit 0):
[ 79.6s] 💭 (421 chars) "It seems `pynwb` is not properly installed in the environment or the namespaces are missing.
Wait, the error is `Runtime..."
[ 79.6s] 🔧 run_command ls -R src/pynwb/nwb-schema
[ 79.7s] → src/pynwb/nwb-schema:
[ 89.5s] 💭 (251 chars) "Wait, `src/pynwb/nwb-schema` is empty? That's strange.
Wait, maybe I should check how PyNWB is supposed to be installed..."
[ 89.5s] 📖 read_file (src/pynwb/__init__.py)
[ 89.5s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/__init__.py', 'content': ' namespace_path =
getargs(\'namespace_path\', kwarg…
[ 92.9s] 💭 (97 chars) "It's looking for `__resources['namespace_path']`.
Let's see where `__get_resources()` is defined."
[ 92.9s] 🔧 run_command grep -n "__get_resources" src/pynwb/__init__.py
[ 93.0s] → 24:def __get_resources():
[ 94.8s] 💭 (29 chars) "Let's read `__get_resources`."
[ 94.8s] 📖 read_file (src/pynwb/__init__.py)
[ 94.8s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/__init__.py', 'content': "from .spec import NWBDatasetSpec,
NWBGroupSpec, NWBNam…
[ 104.1s] 💭 (257 chars) "It's using `resource_filename(__name__, 'nwb-schema/core')`.
If I am running the script from outside the installed packa..."
[ 104.1s] 🔧 run_command (21 lines) export PYTHONPATH=$PYTHONPATH:/workspace/src && python3 - <<'PY'
[ 104.8s] → error (exit 0):
[ 127.4s] 💭 (1009 chars) "The environment seems to have a broken installation of PyNWB (missing `nwb-schema/core`).
This makes it hard to run `pyn..."
[ 127.4s] 🔧 run_command (8 lines) python3 - <<'PY'
[ 127.5s] → Caught expected error: a bytes-like object is required, not 'str'
[ 172.5s] 💭 (2208 chars) "Perfect. So the bug is indeed that `nwb_version_string` can be `bytes`.
To fix this, we should ensure `nwb_version_stri..."
[ 172.5s] 📖 read_file (src/pynwb/__init__.py)
[ 172.6s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/__init__.py', 'content': ' # ns_catalog =
NamespaceCatalog(NWBGroupSp…
[ 176.1s] 💭 (69 chars) "I missed the class definition. Let's find where `class NWBHDF5IO` is."
[ 176.1s] 🔧 run_command grep -n "class NWBHDF5IO" src/pynwb/__init__.py
[ 176.2s] → 194:class NWBHDF5IO(_HDF5IO):
[ 178.3s] 💭 (14 chars) "And `_HDF5IO`?"
[ 178.3s] 🔧 run_command grep -n "class _HDF5IO" src/pynwb/__init__.py
[ 178.4s] → error (exit 0):
[ 181.2s] 💭 (55 chars) "Maybe `_HDF5IO` is defined in another file or imported."
[ 181.2s] 🔧 run_command grep -rn "class _HDF5IO" src/pynwb/
[ 181.2s] → error (exit 0):
[ 184.6s] 💭 (76 chars) "Let's check `src/pynwb/__init__.py` again to see where `_HDF5IO` comes from."
[ 184.6s] 📖 read_file (src/pynwb/__init__.py)
[ 184.7s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/__init__.py', 'content': ' If mapper_cls is not specified,
returns a decorato…
[ 189.3s] 💭 (158 chars) "Wait, `NWBHDF5IO` inherits from `_HDF5IO`. If `_HDF5IO` is not in `src/pynwb/__init__.py`,
it must be imported.
Looking ..."
[ 189.3s] 📖 read_file (src/pynwb/__init__.py)
[ 189.4s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/__init__.py', 'content': '\'\'\'This package will contain
functions, classes, an…
[ 212.2s] 💭 (1611 chars) "Ah, `from hdmf.backends.hdf5 import HDF5IO as _HDF5IO`.
So `_HDF5IO` is from `hdmf`.
Now let's fix `src/pynwb/__init__...."
[ 212.2s] 🔧 run_command grep -rn "nwb_version" tests/
[ 212.2s] → tests/unit/test_epoch_legacy.py:77: infile.attrs['nwb_version'] = '2.3.0'
[ 245.7s] 💭 (1974 chars) "I can add a test case to `tests/integration/utils/test_io_utils.py` to reproduce the issue
in `get_nwb_version`.
But fi..."
[ 245.7s] ✏️ edit_file (src/pynwb/__init__.py)
[ 245.8s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/__init__.py', 'occurrences': 1, 'strategy': 'exact', 'diff':
'--- a/src/pynwb/__…
[ 308.9s] 💭 (28 chars) "Now `src/pynwb/io/utils.py`."
[ 308.9s] ✏️ edit_file (src/pynwb/io/utils.py)
[ 309.1s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/io/utils.py', 'occurrences': 1, 'strategy': 'exact', 'diff':
'--- a/src/pynwb/io…
[ 340.5s] 💭 (67 chars) "Now let's run the reproduction script again with the fixes applied."
[ 340.5s] 🔧 run_command (41 lines) python3 - <<'PY'
[ 341.2s] → error (exit 0):
[ 356.9s] 💭 (623 chars) "Ah, the `pynwb` import is failing because of the namespace catalog. The `RuntimeError:
'core' is not a registered namesp..."
[ 356.9s] 📖 read_file (src/pynwb/io/utils.py)
[ 357.0s] ✓ {'status': 'ok', 'filepath': 'src/pynwb/io/utils.py', 'content': 'import re\nfrom typing import
Tuple\n\nfrom hdmf.build…
[ 369.2s] 💭 (120 chars) "It doesn't import `pynwb`. It imports `hdmf.build`.
So I can just add `src` to `PYTHONPATH` and import `pynwb.io.utils`."
[ 369.2s] 🔧 run_command (27 lines) PYTHONPATH=src python3 - <<'PY'
[ 369.9s] → error (exit 0):
[ 386.3s] 💭 (590 chars) "It seems that importing `pynwb.io.utils` triggers the execution of `src/pynwb/__init__.py`
because `pynwb` is a package...."
[ 386.3s] 🔧 run_command pytest tests/integration/utils/test_io_utils.py -q --tb=short --no-header
[ 387.3s] → error (exit 0):
[ 445.0s] 💭 (575 chars) "The `RuntimeError` seems to be a result of how the environment is set up for the tests. But
since I'm tasked with fixing..."
[ 445.0s] 🔧 run_command (78 lines) python3 - <<'PY'
[ 445.1s] → Testing get_nwb_version...
Native result row
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"agent_error": "Agent exceeded session timeout (7.5 min)",
"duration_seconds": 463.76,
"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": 1262,
"phase1_seconds": 459.37,
"repo": "NeurodataWithoutBorders/pynwb",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/neurodatawithoutborders__pynwb-1669__p0__r4.jsonl",
"resolved": true,
"rollout_idx": 4,
"run_key": "neurodatawithoutborders__pynwb-1669__p0__r4",
"strict_clean_patch": true,
"tool_calls": 24,
"total_llm_calls": 24,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_neurodatawithoutborders__pynwb-1669__p0__r4.json"
}