ROLLOUT 6 · h5py/h5py
h5py__h5py-2577
Not solved
459 stotal time
23tool calls
23model calls
6,200tokens generated
202,448prompt tokens read
Test failures/errors recorded in JUnit XML (failures=1, errors=0)
Turn by turn
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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 7,613 characters
You are evaluating a software engineering task for repository h5py/h5py.
Problem Statement:
dataset.read_direct fails with ZeroDivisionError when '0 in shape'
Potential regression of #281, or simply related. H5py allows storing of empty arrays where any one of the dimensions can be 0 (e.g., `(0,)`, `(1, 0)`, `(1, 0, 3)`). If this dataset is read using `read_direct`, a `ZeroDivisionError` is thrown.
<details>
<summary>System version details (click to expand)</summary>
* Operating System (e.g. Windows 10, MacOS 10.11, Ubuntu 16.04.2 LTS, CentOS 7)
Arch Linux
* Python version (e.g. 2.7, 3.5)
3.6.0
* Where Python was acquired (e.g. system Python on MacOS or Linux, Anaconda on
Windows)
System repositories
* h5py version (e.g. 2.6)
2.7.0
* HDF5 version (e.g. 1.8.17)
1.10
</details>
Minimal script:
```python
import h5py
import numpy as np
print(h5py.version.info)
shape = (0,) # also try (1, 0, 2) or anything with 0 in it
hfile = h5py.File("/tmp/zerodata.h5", "w")
ds = hfile.create_dataset("ds", data=np.zeros(shape))
print("---------------------------------")
print(ds)
print(hfile["ds"])
print(hfile["ds"][:])
dsread = np.zeros(shape)
hfile["ds"].read_direct(dsread) # division by zero
hfile.close()
```
Output
```
Summary of the h5py configuration
---------------------------------
h5py 2.7.0
HDF5 1.10.0
Python 3.6.0 (default, Jan 16 2017, 12:12:55)
[GCC 6.3.1 20170109]
sys.platform linux
sys.maxsize 9223372036854775807
numpy 1.12.1
---------------------------------
<HDF5 dataset "ds": shape (0,), type "<f8">
<HDF5 dataset "ds": shape (0,), type "<f8">
[]
Traceback (most recent call last):
File "zero.py", line 17, in <module>
hfile["ds"].read_direct(dsread) # division by zero
File "/usr/lib/python3.6/site-packages/h5py/_hl/dataset.py", line 654, in read_direct
for mspace in dest_sel.broadcast(source_sel.mshape):
File "/usr/lib/python3.6/site-packages/h5py/_hl/selections.py", line 303, in broadcast
chunks = tuple(x//y for x, y in zip(count, tshape))
File "/usr/lib/python3.6/site-packages/h5py/_hl/selections.py", line 303, in <genexpr>
chunks = tuple(x//y for x, y in zip(count, tshape))
ZeroDivisionError: integer division or modulo by zero
```
## 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):
```
./LICENSE
./MANIFEST.in
./README.rst
./api_gen.py
./appveyor.yml
./asv.conf.json
./azure-pipelines.yml
./benchmarks
./ci
./ci/appveyor
./ci/appveyor/vs2008_patch
./ci/azure-pipelines-steps.yml
./ci/bundle_hdf5_whl.py
./ci/cibw_before_all_macos.sh
./ci/cibw_before_all_windows.sh
./ci/cibw_test_command.sh
./ci/fix_paths.py
./ci/get_hdf5_if_needed.sh
./ci/get_hdf5_win.py
./ci/triage_build.sh
./ci/upload_coverage.py
./codecov.yml
./dev-install.sh
./docs
./docs_api
./docs_api/Makefile
./docs_api/_static
./docs_api/automod.py
./docs_api/conf.py
./docs_api/h5.rst
./docs_api/h5a.rst
./docs_api/h5ac.rst
./docs_api/h5d.rst
./docs_api/h5ds.rst
./docs_api/h5f.rst
./docs_api/h5fd.rst
./docs_api/h5g.rst
./docs_api/h5i.rst
./docs_api/h5l.rst
./docs_api/h5o.rst
./docs_api/h5p.rst
./docs_api/h5pl.rst
./docs_api/h5r.rst
./docs_api/h5s.rst
./docs_api/h5t.rst
./docs_api/h5z.rst
./docs_api/index.rst
./docs_api/objects.rst
./examples
./github_deploy_key_h5py_h5py.enc
./h5py
./h5py/__init__.py
./h5py/_conv.pxd
./h5py/_conv.pyx
./h5py/_errors.pxd
./h5py/_errors.pyx
./h5py/_hl
./h5py/_hl/__init__.py
./h5py/_hl/attrs.py
./h5py/_hl/base.py
./h5py/_hl/compat.py
./h5py/_hl/dataset.py
./h5py/_hl/datatype.py
./h5py/_hl/dims.py
./h5py/_hl/files.py
./h5py/_hl/filters.py
./h5py/_hl/group.py
./h5py/_hl/selections.py
./h5py/_hl/selections2.py
./h5py/_hl/vds.py
./h5py/_locks.pxi
./h5py/_objects.pxd
./h5py/_objects.pyx
./h5py/_proxy.pxd
./h5py/_proxy.pyx
./h5py/_selector.pyx
./h5py/api_compat.h
./h5py/api_functions.txt
./h5py/api_types_ext.pxd
./h5py/api_types_hdf5.pxd
./h5py/h5.pxd
./h5py/h5.pyx
./h5py/h5a.pxd
./h5py/h5a.pyx
./h5py/h5ac.pxd
./h5py/h5ac.pyx
./h5py/h5d.pxd
./h5py/h5d.pyx
./h5py/h5ds.pxd
./h5py/h5ds.pyx
./h5py/h5f.pxd
./h5py/h5f.pyx
./h5py/h5fd.pxd
./h5py/h5fd.pyx
./h5py/h5g.pxd
./h5py/h5g.pyx
./h5py/h5i.pxd
./h5py/h5i.pyx
./h5py/h5l.pxd
./h5py/h5l.pyx
./h5py/h5o.pxd
./h5py/h5o.pyx
./h5py/h5p.pxd
./h5py/h5p.pyx
./h5py/h5pl.pxd
./h5py/h5pl.pyx
./h5py/h5py_warnings.py
./h5py/h5r.pxd
./h5py/h5r.pyx
./h5py/h5s.pxd
./h5py/h5s.pyx
./h5py/h5t.pxd
./h5py/h5t.pyx
./h5py/h5z.pxd
./h5py/h5z.pyx
./h5py/ipy_completer.py
./h5py/tests
./h5py/tests/__init__.py
./h5py/tests/common.py
./h5py/tests/conftest.py
./h5py/tests/data_files
./h5py/tests/test_attribute_create.py
./h5py/tests/test_attrs.py
./h5py/tests/test_attrs_data.py
./h5py/tests/test_base.py
./h5py/tests/test_big_endian_file.py
./h5py/tests/test_completions.py
./h5py/tests/test_dataset.py
./h5py/tests/test_dataset_getitem.py
./h5py/tests/test_dataset_swmr.py
./h5py/tests/test_datatype.py
./h5py/tests/test_dimension_scales.py
./h5py/tests/test_dims_dimensionproxy.py
./h5py/tests/test_dtype.py
./h5py/tests/test_errors.py
./h5py/tests/test_file.py
./h5py/tests/test_file2.py
./h5py/tests/test_file_alignment.py
./h5py/tests/test_file_image.py
./h5py/tests/test_filters.py
./h5py/tests/test_group.py
./h5py/tests/test_h5.py
./h5py/tests/test_h5d_direct_chunk.py
./h5py/tests/test_h5f.py
./h5py/tests/test_h5o.py
./h5py/tests/test_h5p.py
./h5py/tests/test_h5pl.py
./h5py/tests/test_h5s.py
./h5py/tests/test_h5t.py
./h5py/tests/test_h5z.py
./h5py/tests/test_objects.py
./h5py/tests/test_ros3.py
./h5py/tests/test_selections.py
./h5py/tests/test_slicing.py
./h5py/tests/test_vds
./h5py/utils.pxd
./h5py/utils.pyx
./h5py/version.py
./licenses
./licenses/hdf5.txt
./licenses/license.txt
./licenses/pytables.txt
./licenses/python.txt
./licenses/stdint.txt
./lzf
./lzf/LICENSE.txt
./lzf/README.txt
./lzf/example.c
./lzf/lzf
./lzf/lzf/lzf.h
./lzf/lzf/lzfP.h
./lzf/lzf/lzf_c.c
./lzf/lzf/lzf_d.c
./lzf/lzf_filter.c
./lzf/lzf_filter.h
./news
./news/TEMPLATE.rst
./other
./other/garbage.py
./other/iterate_deadlock.py
./other/unterm-generator.py
./other/vlen_leak.py
./pylintrc
./pyproject.toml
./pytest.ini
./rever.xsh
./setup.py
./setup_build.py
./setup_configure.py
./tox.ini
```
Turn 1at 39 s637 tokens out5,306 prompt tokens
The user is reporting a `ZeroDivisionError` when calling `dataset.read_direct()` on a dataset that has 0 in its shape.
Looking at the traceback provided:
```python
Traceback (most recent call last):
File "zero.py", line 17, in <module>
hfile["ds"].read_direct(dsread) # division by zero
File "/usr/lib/python3.6/site-packages/h5py/_hl/dataset.py", line 654, in read_direct
for mspace in dest_sel.broadcast(source_sel.mshape):
File "/usr/lib/python3.6/site-packages/h5py/_hl/selections.py", line 303, in broadcast
chunks = tuple(x//y for x, y in zip(count, tshape))
File "/usr/lib/python3.6/site-packages/h5py/_hl/selections.py", line 303, in <genexpr>
chunks = tuple(x//y for x, y in zip(count, tshape))
ZeroDivisionError: integer division or modulo by zero
```
The error occurs in `h5py/_hl/selections.py` inside the `broadcast` method. Specifically in the generator expression `tuple(x//y for x, y in zip(count, tshape))`.
This means `y` is 0 in `zip(count, tshape)`. `tshape` seems to be the shape of the source selection. If the source dataset has a dimension of 0, `tshape` will have a 0, leading to `ZeroDivisionError`.
First, I'll reproduce the issue with the provided script.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport h5py\nimport numpy as np\nimport os\n\nshape = (0,) # also try (1, 0, 2) or anything with 0 in it\nhfile = h5py.File(\"zerodata.h5\", \"w\")\nds = hfile.create_dataset(\"ds\", data=np.zeros(shape))\n\nprint(\"---------------------------------\")\nprint(ds)\nprint(hfile[\"ds\"])\nprint(hfile[\"ds\"][:])\n\ndsread = np.zeros(shape)\ntry:\n hfile[\"ds\"].read_direct(dsread)\nexcept ZeroDivisionError as e:\n print(f\"Caught expected ZeroDivisionError: {e}\")\nexcept Exception as e:\n print(f\"Caught unexpected exception: {type(e).__name__}: {e}\")\nelse:\n print(\"No ZeroDivisionError raised!\")\n\nhfile.close()\nos.remove(\"zerodata.h5\")\nPY\n"
}Result of run_command 1,569 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"/workspace/h5py/__init__.py\", line 25, in <module>\n from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/workspace/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"<stdin>\", line 1, in <module>\n File \"/workspace/h5py/__init__.py\", line 29, in <module>\n raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
"details": {
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"/workspace/h5py/__init__.py\", line 25, in <module>\n from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/workspace/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"<stdin>\", line 1, in <module>\n File \"/workspace/h5py/__init__.py\", line 29, in <module>\n raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
"exit_code": 1
}
}Generated tokens 637 tokens · stopped: STOP
<|channel>thought
The user is reporting a `ZeroDivisionError` when calling `dataset.read_direct()` on a dataset that has 0 in its shape.
Looking at the traceback provided:
```python
Traceback (most recent call last):
File "zero.py", line 17, in <module>
hfile["ds"].read_direct(dsread) # division by zero
File "/usr/lib/python3.6/site-packages/h5py/_hl/dataset.py", line 654, in read_direct
for mspace in dest_sel.broadcast(source_sel.mshape):
File "/usr/lib/python3.6/site-packages/h5py/_hl/selections.py", line 303, in broadcast
chunks = tuple(x//y for x, y in zip(count, tshape))
File "/usr/lib/python3.6/site-packages/h5py/_hl/selections.py", line 303, in <genexpr>
chunks = tuple(x//y for x, y in zip(count, tshape))
ZeroDivisionError: integer division or modulo by zero
```
The error occurs in `h5py/_hl/selections.py` inside the `broadcast` method. Specifically in the generator expression `tuple(x//y for x, y in zip(count, tshape))`.
This means `y` is 0 in `zip(count, tshape)`. `tshape` seems to be the shape of the source selection. If the source dataset has a dimension of 0, `tshape` will have a 0, leading to `ZeroDivisionError`.
First, I'll reproduce the issue with the provided script.<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import h5py
import numpy as np
import os
shape = (0,) # also try (1, 0, 2) or anything with 0 in it
hfile = h5py.File("zerodata.h5", "w")
ds = hfile.create_dataset("ds", data=np.zeros(shape))
print("---------------------------------")
print(ds)
print(hfile["ds"])
print(hfile["ds"][:])
dsread = np.zeros(shape)
try:
hfile["ds"].read_direct(dsread)
except ZeroDivisionError as e:
print(f"Caught expected ZeroDivisionError: {e}")
except Exception as e:
print(f"Caught unexpected exception: {type(e).__name__}: {e}")
else:
print("No ZeroDivisionError raised!")
hfile.close()
os.remove("zerodata.h5")
PY
<|"|>}<tool_call|><|tool_response>
Turn 2at 52 s328 tokens out6,391 prompt tokens
Ah, I'm trying to import `h5py` while being in `/workspace`, and the codebase is also in `/workspace/h5py`. The `h5py/__init__.py` explicitly prevents this. I need to move to `/tmp` or change `PYTHONPATH`. Let's try running it from `/tmp`.
TOOL CALL · run_command
{
"command": "cd /tmp && python3 - <<'PY'\nimport sys\nimport os\nsys.path.append('/workspace')\nimport h5py\nimport numpy as np\n\nshape = (0,) # also try (1, 0, 2) or anything with 0 in it\nhfile = h5py.File(\"zerodata.h5\", \"w\")\nds = hfile.create_dataset(\"ds\", data=np.zeros(shape))\n\nprint(\"---------------------------------\")\nprint(ds)\nprint(hfile[\"ds\"])\nprint(hfile[\"ds\"][:])\n\ndsread = np.zeros(shape)\ntry:\n hfile[\"ds\"].read_direct(dsread)\nexcept ZeroDivisionError as e:\n print(f\"Caught expected ZeroDivisionError: {e}\")\nexcept Exception as e:\n print(f\"Caught unexpected exception: {type(e).__name__}: {e}\")\nelse:\n print(\"No ZeroDivisionError raised!\")\n\nhfile.close()\nos.remove(\"zerodata.h5\")\nPY\n"
}Result of run_command 1,569 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"/workspace/h5py/__init__.py\", line 25, in <module>\n from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/workspace/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"<stdin>\", line 4, in <module>\n File \"/workspace/h5py/__init__.py\", line 29, in <module>\n raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
"details": {
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"/workspace/h5py/__init__.py\", line 25, in <module>\n from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/workspace/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"<stdin>\", line 4, in <module>\n File \"/workspace/h5py/__init__.py\", line 29, in <module>\n raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
"exit_code": 1
}
}Generated tokens 328 tokens · stopped: STOP
Ah, I'm trying to import `h5py` while being in `/workspace`, and the codebase is also in `/workspace/h5py`. The `h5py/__init__.py` explicitly prevents this. I need to move to `/tmp` or change `PYTHONPATH`.
Let's try running it from `/tmp`.
<channel|><|tool_call>call:run_command{command:<|"|>cd /tmp && python3 - <<'PY'
import sys
import os
sys.path.append('/workspace')
import h5py
import numpy as np
shape = (0,) # also try (1, 0, 2) or anything with 0 in it
hfile = h5py.File("zerodata.h5", "w")
ds = hfile.create_dataset("ds", data=np.zeros(shape))
print("---------------------------------")
print(ds)
print(hfile["ds"])
print(hfile["ds"][:])
dsread = np.zeros(shape)
try:
hfile["ds"].read_direct(dsread)
except ZeroDivisionError as e:
print(f"Caught expected ZeroDivisionError: {e}")
except Exception as e:
print(f"Caught unexpected exception: {type(e).__name__}: {e}")
else:
print("No ZeroDivisionError raised!")
hfile.close()
os.remove("zerodata.h5")
PY
<|"|>}<tool_call|><|tool_response>
Turn 3at 70 s391 tokens out7,166 prompt tokens
It seems `sys.path.append('/workspace')` is still causing the same issue because it's picking up `/workspace/h5py`.
Actually, the issue is that the *installed* h5py is likely what I should be using, but I'm trying to use the one in `/workspace`. But wait, the instructions say "If imports fail, the issue is in the source code under `/workspace`, not in missing system packages."
However, the `ImportError: You cannot import h5py from inside the install directory.` is a safety check in `h5py/__init__.py`.
If the package is already installed in the environment, I should just be able to `import h5py` without adding `/workspace` to path.
Let's try that.
TOOL CALL · run_command
{
"command": "cd /tmp && python3 - <<'PY'\nimport h5py\nimport numpy as np\nimport os\n\nshape = (0,)\nhfile = h5py.File(\"zerodata.h5\", \"w\")\nds = hfile.create_dataset(\"ds\", data=np.zeros(shape))\n\nprint(\"---------------------------------\")\nprint(ds)\nprint(hfile[\"ds\"])\nprint(hfile[\"ds\"][:])\n\ndsread = np.zeros(shape)\ntry:\n hfile[\"ds\"].read_direct(dsread)\nexcept ZeroDivisionError as e:\n print(f\"Caught expected ZeroDivisionError: {e}\")\nexcept Exception as e:\n print(f\"Caught unexpected exception: {type(e).__name__}: {e}\")\nelse:\n print(\"No ZeroDivisionError raised!\")\n\nhfile.close()\nos.remove(\"zerodata.h5\")\nPY\n"
}Result of run_command 1,539 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"/h5py/h5py/__init__.py\", line 25, in <module>\n from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/h5py/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"<stdin>\", line 1, in <module>\n File \"/h5py/h5py/__init__.py\", line 29, in <module>\n raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
"details": {
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"/h5py/h5py/__init__.py\", line 25, in <module>\n from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/h5py/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"<stdin>\", line 1, in <module>\n File \"/h5py/h5py/__init__.py\", line 29, in <module>\n raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
"exit_code": 1
}
}Generated tokens 391 tokens · stopped: STOP
It seems `sys.path.append('/workspace')` is still causing the same issue because it's picking up `/workspace/h5py`.
Actually, the issue is that the *installed* h5py is likely what I should be using, but I'm trying to use the one in `/workspace`. But wait, the instructions say "If imports fail, the issue is in the source code under `/workspace`, not in missing system packages."
However, the `ImportError: You cannot import h5py from inside the install directory.` is a safety check in `h5py/__init__.py`.
If the package is already installed in the environment, I should just be able to `import h5py` without adding `/workspace` to path.
Let's try that.
<channel|><|tool_call>call:run_command{command:<|"|>cd /tmp && python3 - <<'PY'
import h5py
import numpy as np
import os
shape = (0,)
hfile = h5py.File("zerodata.h5", "w")
ds = hfile.create_dataset("ds", data=np.zeros(shape))
print("---------------------------------")
print(ds)
print(hfile["ds"])
print(hfile["ds"][:])
dsread = np.zeros(shape)
try:
hfile["ds"].read_direct(dsread)
except ZeroDivisionError as e:
print(f"Caught expected ZeroDivisionError: {e}")
except Exception as e:
print(f"Caught unexpected exception: {type(e).__name__}: {e}")
else:
print("No ZeroDivisionError raised!")
hfile.close()
os.remove("zerodata.h5")
PY
<|"|>}<tool_call|><|tool_response>
Turn 4at 81 s244 tokens out8,016 prompt tokens
Wait, why is it importing from `/h5py/h5py/__init__.py`?
Regardless of how h5py is installed, I need to fix the code in `/workspace/h5py/_hl/selections.py`.
The error message says:
```python
File "/usr/lib/python3.6/site-packages/h5py/_hl/dataset.py", line 654, in read_direct
for mspace in dest_sel.broadcast(source_sel.mshape):
File "/usr/lib/python3.6/site-packages/h5py/_hl/selections.py", line 303, in broadcast
chunks = tuple(x//y for x, y in zip(count, tshape))
```
Let's examine `/workspace/h5py/_hl/selections.py` around line 303.
TOOL CALL · read_file
{
"end_line": 320,
"filepath": "h5py/_hl/selections.py",
"start_line": 280
}Result of read_file 1,421 characters
{
"status": "ok",
"filepath": "h5py/_hl/selections.py",
"content": " \"\"\"\n if self.shape == ():\n if product(source_shape) != 1:\n raise TypeError(\"Can't broadcast %s to scalar\" % source_shape)\n self._id.select_all()\n yield self._id\n return\n\n start, count, step, scalar = self._sel\n\n rank = len(count)\n tshape = self.expand_shape(source_shape)\n\n chunks = tuple(x//y for x, y in zip(count, tshape))\n nchunks = product(chunks)\n\n if nchunks == 1:\n yield self._id\n else:\n sid = self._id.copy()\n sid.select_hyperslab((0,)*rank, tshape, step)\n for idx in range(nchunks):\n offset = tuple(x*y*z + s for x, y, z, s in zip(np.unravel_index(idx, chunks), tshape, step, start))\n sid.offset_simple(offset)\n yield sid\n\n\nclass FancySelection(Selection):\n\n \"\"\"\n Implements advanced NumPy-style selection operations in addition to\n the standard slice-and-int behavior.\n\n Indexing arguments may be ints, slices, lists of indices, or\n per-axis (1D) boolean arrays.\n\n Broadcasting is not supported for these selections.\n \"\"\"\n\n @property\n def mshape(self):",
"start_line": 280,
"end_line": 320,
"total_lines": 435,
"is_truncated": false
}Generated tokens 244 tokens · stopped: STOP
Wait, why is it importing from `/h5py/h5py/__init__.py`?
Regardless of how h5py is installed, I need to fix the code in `/workspace/h5py/_hl/selections.py`.
The error message says:
```python
File "/usr/lib/python3.6/site-packages/h5py/_hl/dataset.py", line 654, in read_direct
for mspace in dest_sel.broadcast(source_sel.mshape):
File "/usr/lib/python3.6/site-packages/h5py/_hl/selections.py", line 303, in broadcast
chunks = tuple(x//y for x, y in zip(count, tshape))
```
Let's examine `/workspace/h5py/_hl/selections.py` around line 303.
<channel|><|tool_call>call:read_file{filepath:<|"|>h5py/_hl/selections.py<|"|>,start_line:280,end_line:320}<tool_call|><|tool_response>
Turn 5at 87 s116 tokens out8,703 prompt tokens
The line is indeed: `chunks = tuple(x//y for x, y in zip(count, tshape))` If any element of `tshape` is 0, we get a `ZeroDivisionError`. `tshape` is obtained by `self.expand_shape(source_shape)`. Let's see `expand_shape` in the same file.
TOOL CALL · read_file
{
"filepath": "h5py/_hl/selections.py",
"start_line": 200
}Result of read_file 5,397 characters
{
"status": "ok",
"filepath": "h5py/_hl/selections.py",
"content": " self._perform_selection(points, h5s.SELECT_APPEND)\n\n def prepend(self, points):\n \"\"\" Add the sequence of points to the beginning of the current selection \"\"\"\n self._perform_selection(points, h5s.SELECT_PREPEND)\n\n def set(self, points):\n \"\"\" Replace the current selection with the given sequence of points\"\"\"\n self._perform_selection(points, h5s.SELECT_SET)\n\n\nclass SimpleSelection(Selection):\n\n \"\"\" A single \"rectangular\" (regular) selection composed of only slices\n and integer arguments. Can participate in broadcasting.\n \"\"\"\n\n @property\n def mshape(self):\n \"\"\" Shape of current selection \"\"\"\n return self._sel[1]\n\n @property\n def array_shape(self):\n scalar = self._sel[3]\n return tuple(x for x, s in zip(self.mshape, scalar) if not s)\n\n def __init__(self, shape, spaceid=None, hyperslab=None):\n super().__init__(shape, spaceid)\n if hyperslab is not None:\n self._sel = hyperslab\n else:\n # No hyperslab specified - select all\n rank = len(self.shape)\n self._sel = ((0,)*rank, self.shape, (1,)*rank, (False,)*rank)\n\n def expand_shape(self, source_shape):\n \"\"\"Match the dimensions of an array to be broadcast to the selection\n\n The returned shape describes an array of the same size as the input\n shape, but its dimensions\n\n E.g. with a dataset shape (10, 5, 4, 2), writing like this::\n\n ds[..., 0] = np.ones((5, 4))\n\n The source shape (5, 4) will expand to (1, 5, 4, 1).\n Then the broadcast method below repeats that chunk 10\n times to write to an effective shape of (10, 5, 4, 1).\n \"\"\"\n start, count, step, scalar = self._sel\n\n rank = len(count)\n remaining_src_dims = list(source_shape)\n\n eshape = []\n for idx in range(1, rank + 1):\n if len(remaining_src_dims) == 0 or scalar[-idx]: # Skip scalar axes\n eshape.append(1)\n else:\n t = remaining_src_dims.pop()\n if t == 1 or count[-idx] == t:\n eshape.append(t)\n else:\n raise TypeError(\"Can't broadcast %s -> %s\" % (source_shape, self.array_shape)) # array shape\n\n if any([n > 1 for n in remaining_src_dims]):\n # All dimensions from target_shape should either have been popped\n # to match the selection shape, or be 1.\n raise TypeError(\"Can't broadcast %s -> %s\" % (source_shape, self.array_shape)) # array shape\n\n # We have built eshape backwards, so now reverse it\n return tuple(eshape[::-1])\n\n\n def broadcast(self, source_shape):\n \"\"\" Return an iterator over target dataspaces for broadcasting.\n\n Follows the standard NumPy broadcasting rules against the current\n selection shape (self.mshape).\n \"\"\"\n if self.shape == ():\n if product(source_shape) != 1:\n raise TypeError(\"Can't broadcast %s to scalar\" % source_shape)\n self._id.select_all()\n yield self._id\n return\n\n start, count, step, scalar = self._sel\n\n rank = len(count)\n tshape = self.expand_shape(source_shape)\n\n chunks = tuple(x//y for x, y in zip(count, tshape))\n nchunks = product(chunks)\n\n if nchunks == 1:\n yield self._id\n else:\n sid = self._id.copy()\n sid.select_hyperslab((0,)*rank, tshape, step)\n for idx in range(nchunks):\n offset = tuple(x*y*z + s for x, y, z, s in zip(np.unravel_index(idx, chunks), tshape, step, start))\n sid.offset_simple(offset)\n yield sid\n\n\nclass FancySelection(Selection):\n\n \"\"\"\n Implements advanced NumPy-style selection operations in addition to\n the standard slice-and-int behavior.\n\n Indexing arguments may be ints, slices, lists of indices, or\n per-axis (1D) boolean arrays.\n\n Broadcasting is not supported for these selections.\n \"\"\"\n\n @property\n def mshape(self):\n return self._mshape\n\n @property\n def array_shape(self):\n return self._array_shape\n\n def __init__(self, shape, spaceid=None, mshape=None, array_shape=None):\n super().__init__(shape, spaceid)\n if mshape is None:\n mshape = self.shape\n if array_shape is None:\n array_shape = mshape\n self._mshape = mshape\n self._array_shape = array_shape\n\n def expand_shape(self, source_shape):\n if not source_shape == self.array_shape:\n raise TypeError(\"Broadcasting is not supported for complex selections\")\n return source_shape\n\n def broadcast(self, source_shape):\n if not source_shape == self.array_shape:\n raise TypeError(\"Broadcasting is not supported for complex selections\")\n yield self._id\n\n\ndef guess_shape(sid):\n \"\"\" Given a dataspace, try to deduce the shape of the selection.\n",
"start_line": 200,
"end_line": 349,
"total_lines": 435,
"is_truncated": true
}Generated tokens 116 tokens · stopped: STOP
The line is indeed:
`chunks = tuple(x//y for x, y in zip(count, tshape))`
If any element of `tshape` is 0, we get a `ZeroDivisionError`.
`tshape` is obtained by `self.expand_shape(source_shape)`.
Let's see `expand_shape` in the same file.
<channel|><|tool_call>call:read_file{filepath:<|"|>h5py/_hl/selections.py<|"|>,start_line:200}<tool_call|><|tool_response>
Turn 6at 192 s1,533 tokens out10,396 prompt tokens
In `SimpleSelection.broadcast`, we have:
```python
rank = len(count)
tshape = self.expand_shape(source_shape)
chunks = tuple(x//y for x, y in zip(count, tshape))
nchunks = product(chunks)
```
`count` is the shape of the selection. If the dataset has shape `(0,)`, then `count` will be `(0,)`.
`tshape` is the expanded source shape. If we feed a dataset with shape `(0,)` to `read_direct(dsread)` where `dsread` has shape `(0,)`, then `tshape` will also be `(0,)`.
Then `zip(count, tshape)` will be `zip((0,), (0,))`, which leads to `0 // 0`, and hence `ZeroDivisionError`.
When `count` is 0, the number of chunks should be 0 if we want to avoid the error, but `read_direct` is supposed to read data from the dataset into the provide array. If the dataset is empty, nothing should be read and no error should be raised.
If any dimension of `count` is 0, then `product(count)` is 0. The entire selection is empty.
Wait, if `count` has a 0, `product(count)` will be 0.
If `nchunks` becomes 0, the loop `for idx in range(nchunks):` will not execute.
The problem is that `chunks = tuple(x//y for x, y in zip(count, tshape))` is executed before checking if `nchunks` is 0.
If any element of `tshape` is 0, then the corresponding element of `count` must also be 0 (since `tshape` is derived from `source_shape` and compared against `count` in `expand_shape`).
Actually, let's look at `expand_shape`:
```python
if t == 1 or count[-idx] == t:
eshape.append(t)
else:
raise TypeError("Can't broadcast %s -> %s" % (source_shape, self.array_shape))
```
If `t` (from `source_shape`) is 0, then `count[-idx]` must be 0 for it to be accepted.
So if `t` is 0, `x` (which is `count[-idx]`) is also 0. `0 // 0` is the issue.
If any element in `count` is 0, the whole selection is empty. In this case, the number of chunks should be effectively 0 (or 1, but the loop should not run if the total count is 0).
Wait, if the selection is empty, we don't need to perform any reads.
If `product(count) == 0`, then `nchunks` should be 0.
But `chunks = tuple(x//y for x, y in zip(count, tshape))` is where it fails.
If `x` is 0, then if `y` is also 0, we have `0//0`. If `y` is 1, we have `0//1 = 0`.
Actually, if `x` is 0, then `x//y` should be 0 if `y > 0`. If `y` is also 0, it means we have an empty selection and an empty source. In that case, the number of blocks to copy is 0.
Actually, if `any(x == 0 for x in count)`, then the total number of elements is 0, so `nchunks` should be 0.
Wait, let's test that hypothesis. If `count` is `(0, 10)` and `tshape` is `(0, 10)`, then `x//y` is `0//0` and `10//10`.
If `count` is `(10, 0)` and `tshape` is `(10, 0)`, then `x//y` is `10//10` and `0//0`.
In both cases, the selection is empty.
If any element of `count` is 0, then `nchunks` should be 0.
Can we just handle the case where `x == 0`?
If `x == 0` and `y == 0`, `x // y` is undefined, but we know that `nchunks` will eventually be 0 if any `x` is 0.
Wait, if `x == 0`, then `x // y` where `y` is something like 1 is 0. If `y` is also 0, we want the result to be 0 because it doesn't matter, as long as `nchunks` becomes 0.
However, `y` could be 1 and `x` could be 0. In that case `0 // 1` is 0.
If we change:
`chunks = tuple(x//y for x, y in zip(count, tshape))`
to something that handles `y == 0`.
But if `y == 0`, then `x` must also be 0 (as per `expand_shape`).
So we can use:
`chunks = tuple(x//y if y != 0 else 0 for x, y in zip(count, tshape))`
Wait, if `y == 0`, then `x` is also 0. `0 // 0` would be a `ZeroDivisionError`. Using `0` as the value for `chunks` when `y == 0` would lead to `nchunks = product(chunks) = 0`.
Then `if nchunks == 1:` would be false.
The `else` block would run:
```python
else:
sid = self._id.copy()
sid.select_hyperslab((0,)*rank, tshape, step)
for idx in range(nchunks):
offset = tuple(x*y*z + s for x, y, z, s in zip(np.unravel_index(idx, chunks), tshape, step, start))
sid.offset_simple(offset)
yield sid
```
Since `nchunks` is 0, the loop `for idx in range(nchunks)` will not execute. No `sid` will be yielded. This seems correct for an empty selection.
Wait, let's double check `product()`. I don't see `product` defined in the snippet, it must be imported or defined elsewhere in the file. Let me check the beginning of the file.
TOOL CALL · read_file
{
"end_line": 50,
"filepath": "h5py/_hl/selections.py",
"start_line": 1
}Result of read_file 1,522 characters
{
"status": "ok",
"filepath": "h5py/_hl/selections.py",
"content": "# This file is part of h5py, a Python interface to the HDF5 library.\n#\n# http://www.h5py.org\n#\n# Copyright 2008-2013 Andrew Collette and contributors\n#\n# License: Standard 3-clause BSD; see \"license.txt\" for full license terms\n# and contributor agreement.\n\n\"\"\"\n High-level access to HDF5 dataspace selections\n\"\"\"\n\nimport numpy as np\n\nfrom .base import product\nfrom .. import h5s, h5r, _selector\n\ndef select(shape, args, dataset=None):\n \"\"\" High-level routine to generate a selection from arbitrary arguments\n to __getitem__. The arguments should be the following:\n\n shape\n Shape of the \"source\" dataspace.\n\n args\n Either a single argument or a tuple of arguments. See below for\n supported classes of argument.\n\n dataset\n A h5py.Dataset instance representing the source dataset.\n\n Argument classes:\n\n Single Selection instance\n Returns the argument.\n\n numpy.ndarray\n Must be a boolean mask. Returns a PointSelection instance.\n\n RegionReference\n Returns a Selection instance.\n\n Indices, slices, ellipses, MultiBlockSlices only\n Returns a SimpleSelection instance\n\n Indices, slices, ellipses, lists or boolean index arrays\n Returns a FancySelection instance.\n \"\"\"\n if not isinstance(args, tuple):",
"start_line": 1,
"end_line": 50,
"total_lines": 435,
"is_truncated": false
}Generated tokens 1,533 tokens · stopped: STOP
In `SimpleSelection.broadcast`, we have:
```python
rank = len(count)
tshape = self.expand_shape(source_shape)
chunks = tuple(x//y for x, y in zip(count, tshape))
nchunks = product(chunks)
```
`count` is the shape of the selection. If the dataset has shape `(0,)`, then `count` will be `(0,)`.
`tshape` is the expanded source shape. If we feed a dataset with shape `(0,)` to `read_direct(dsread)` where `dsread` has shape `(0,)`, then `tshape` will also be `(0,)`.
Then `zip(count, tshape)` will be `zip((0,), (0,))`, which leads to `0 // 0`, and hence `ZeroDivisionError`.
When `count` is 0, the number of chunks should be 0 if we want to avoid the error, but `read_direct` is supposed to read data from the dataset into the provide array. If the dataset is empty, nothing should be read and no error should be raised.
If any dimension of `count` is 0, then `product(count)` is 0. The entire selection is empty.
Wait, if `count` has a 0, `product(count)` will be 0.
If `nchunks` becomes 0, the loop `for idx in range(nchunks):` will not execute.
The problem is that `chunks = tuple(x//y for x, y in zip(count, tshape))` is executed before checking if `nchunks` is 0.
If any element of `tshape` is 0, then the corresponding element of `count` must also be 0 (since `tshape` is derived from `source_shape` and compared against `count` in `expand_shape`).
Actually, let's look at `expand_shape`:
```python
if t == 1 or count[-idx] == t:
eshape.append(t)
else:
raise TypeError("Can't broadcast %s -> %s" % (source_shape, self.array_shape))
```
If `t` (from `source_shape`) is 0, then `count[-idx]` must be 0 for it to be accepted.
So if `t` is 0, `x` (which is `count[-idx]`) is also 0. `0 // 0` is the issue.
If any element in `count` is 0, the whole selection is empty. In this case, the number of chunks should be effectively 0 (or 1, but the loop should not run if the total count is 0).
Wait, if the selection is empty, we don't need to perform any reads.
If `product(count) == 0`, then `nchunks` should be 0.
But `chunks = tuple(x//y for x, y in zip(count, tshape))` is where it fails.
If `x` is 0, then if `y` is also 0, we have `0//0`. If `y` is 1, we have `0//1 = 0`.
Actually, if `x` is 0, then `x//y` should be 0 if `y > 0`. If `y` is also 0, it means we have an empty selection and an empty source. In that case, the number of blocks to copy is 0.
Actually, if `any(x == 0 for x in count)`, then the total number of elements is 0, so `nchunks` should be 0.
Wait, let's test that hypothesis. If `count` is `(0, 10)` and `tshape` is `(0, 10)`, then `x//y` is `0//0` and `10//10`.
If `count` is `(10, 0)` and `tshape` is `(10, 0)`, then `x//y` is `10//10` and `0//0`.
In both cases, the selection is empty.
If any element of `count` is 0, then `nchunks` should be 0.
Can we just handle the case where `x == 0`?
If `x == 0` and `y == 0`, `x // y` is undefined, but we know that `nchunks` will eventually be 0 if any `x` is 0.
Wait, if `x == 0`, then `x // y` where `y` is something like 1 is 0. If `y` is also 0, we want the result to be 0 because it doesn't matter, as long as `nchunks` becomes 0.
However, `y` could be 1 and `x` could be 0. In that case `0 // 1` is 0.
If we change:
`chunks = tuple(x//y for x, y in zip(count, tshape))`
to something that handles `y == 0`.
But if `y == 0`, then `x` must also be 0 (as per `expand_shape`).
So we can use:
`chunks = tuple(x//y if y != 0 else 0 for x, y in zip(count, tshape))`
Wait, if `y == 0`, then `x` is also 0. `0 // 0` would be a `ZeroDivisionError`. Using `0` as the value for `chunks` when `y == 0` would lead to `nchunks = product(chunks) = 0`.
Then `if nchunks == 1:` would be false.
The `else` block would run:
```python
else:
sid = self._id.copy()
sid.select_hyperslab((0,)*rank, tshape, step)
for idx in range(nchunks):
offset = tuple(x*y*z + s for x, y, z, s in zip(np.unravel_index(idx, chunks), tshape, step, start))
sid.offset_simple(offset)
yield sid
```
Since `nchunks` is 0, the loop `for idx in range(nchunks)` will not execute. No `sid` will be yielded. This seems correct for an empty selection.
Wait, let's double check `product()`. I don't see `product` defined in the snippet, it must be imported or defined elsewhere in the file. Let me check the beginning of the file.
<channel|><|tool_call>call:read_file{end_line:50,filepath:<|"|>h5py/_hl/selections.py<|"|>,start_line:1}<tool_call|><|tool_response>
Turn 7at 216 s464 tokens out12,381 prompt tokens
`product` is imported from `.base`.
Let's verify if there are any other places where `x // y` might occur and cause issues.
Looking at `SimpleSelection.broadcast` again:
```python
def broadcast(self, source_shape):
# ... (scalar case) ...
start, count, step, scalar = self._sel
rank = len(count)
tshape = self.expand_shape(source_shape)
chunks = tuple(x//y for x, y in zip(count, tshape))
nchunks = product(chunks)
if nchunks == 1:
yield self._id
else:
sid = self._id.copy()
sid.select_hyperslab((0,)*rank, tshape, step)
for idx in range(nchunks):
offset = tuple(x*y*z + s for x, y, z, s in zip(np.unravel_index(idx, chunks), tshape, step, start))
sid.offset_simple(offset)
yield sid
```
If `tshape` has a 0, `y` is 0. As we discussed, `x` will also be 0.
`chunks = tuple(x//y if y != 0 else 0 for x, y in zip(count, tshape))` handles the `ZeroDivisionError`.
Then `nchunks = product(chunks)` will be 0.
Then the `else` block is entered.
The loop `for idx in range(nchunks):` will not run.
So the iterator yielded by `broadcast` will be empty.
Is this the correct behavior?
If `read_direct` calls `broadcast` and it's empty, then no data is read.
Let's check `read_direct` in `h5py/_hl/dataset.py`.
TOOL CALL · read_file
{
"end_line": 665,
"filepath": "h5py/_hl/dataset.py",
"start_line": 640
}Result of read_file 1,025 characters
{
"status": "ok",
"filepath": "h5py/_hl/dataset.py",
"content": " \"\"\"Shape up to which this dataset can be resized. Axes with value\n None have no resize limit. \"\"\"\n space = self.id.get_space()\n dims = space.get_simple_extent_dims(True)\n if dims is None:\n return None\n\n return tuple(x if x != h5s.UNLIMITED else None for x in dims)\n\n @property\n @with_phil\n def fillvalue(self):\n \"\"\"Fill value for this dataset (0 by default)\"\"\"\n arr = numpy.zeros((1,), dtype=self.dtype)\n self._dcpl.get_fill_value(arr)\n return arr[0]\n\n @cached_property\n @with_phil\n def _extent_type(self):\n \"\"\"Get extent type for this dataset - SIMPLE, SCALAR or NULL\"\"\"\n return self.id.get_space().get_simple_extent_type()\n\n @cached_property\n def _is_empty(self):\n \"\"\"Check if extent type is empty\"\"\"",
"start_line": 640,
"end_line": 665,
"total_lines": 1191,
"is_truncated": false
}Generated tokens 464 tokens · stopped: STOP
`product` is imported from `.base`.
Let's verify if there are any other places where `x // y` might occur and cause issues.
Looking at `SimpleSelection.broadcast` again:
```python
def broadcast(self, source_shape):
# ... (scalar case) ...
start, count, step, scalar = self._sel
rank = len(count)
tshape = self.expand_shape(source_shape)
chunks = tuple(x//y for x, y in zip(count, tshape))
nchunks = product(chunks)
if nchunks == 1:
yield self._id
else:
sid = self._id.copy()
sid.select_hyperslab((0,)*rank, tshape, step)
for idx in range(nchunks):
offset = tuple(x*y*z + s for x, y, z, s in zip(np.unravel_index(idx, chunks), tshape, step, start))
sid.offset_simple(offset)
yield sid
```
If `tshape` has a 0, `y` is 0. As we discussed, `x` will also be 0.
`chunks = tuple(x//y if y != 0 else 0 for x, y in zip(count, tshape))` handles the `ZeroDivisionError`.
Then `nchunks = product(chunks)` will be 0.
Then the `else` block is entered.
The loop `for idx in range(nchunks):` will not run.
So the iterator yielded by `broadcast` will be empty.
Is this the correct behavior?
If `read_direct` calls `broadcast` and it's empty, then no data is read.
Let's check `read_direct` in `h5py/_hl/dataset.py`.
<channel|><|tool_call>call:read_file{end_line:665,filepath:<|"|>h5py/_hl/dataset.py<|"|>,start_line:640}<tool_call|><|tool_response>
Turn 8at 222 s115 tokens out13,193 prompt tokens
The `read_direct` method was at line 654 in the traceback, but in this `read_file` output it's not visible. I must have read the wrong lines or the file has changed. Wait, the line numbers in the traceback were for the installed package. Let me find `read_direct` in `h5py/_hl/dataset.py`.
TOOL CALL · run_command
{
"command": "grep -n \"def read_direct\" h5py/_hl/dataset.py"
}Result of run_command 131 characters
{
"status": "ok",
"stdout": "1045: def read_direct(self, dest, source_sel=None, dest_sel=None):\n",
"stderr": "",
"exit_code": 0
}Generated tokens 115 tokens · stopped: STOP
The `read_direct` method was at line 654 in the traceback, but in this `read_file` output it's not visible. I must have read the wrong lines or the file has changed. Wait, the line numbers in the traceback were for the installed package.
Let me find `read_direct` in `h5py/_hl/dataset.py`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "def read_direct" h5py/_hl/dataset.py<|"|>}<tool_call|><|tool_response>
Turn 9at 228 s62 tokens out13,374 prompt tokens
Okay, it's at line 1045. Let's read it.
TOOL CALL · read_file
{
"end_line": 1080,
"filepath": "h5py/_hl/dataset.py",
"start_line": 1045
}Result of read_file 1,627 characters
{
"status": "ok",
"filepath": "h5py/_hl/dataset.py",
"content": " def read_direct(self, dest, source_sel=None, dest_sel=None):\n \"\"\" Read data directly from HDF5 into an existing NumPy array.\n\n The destination array must be C-contiguous and writable.\n Selections must be the output of numpy.s_[<args>].\n\n Broadcasting is supported for simple indexing.\n \"\"\"\n with phil:\n if self._is_empty:\n raise TypeError(\"Empty datasets have no numpy representation\")\n if source_sel is None:\n source_sel = sel.SimpleSelection(self.shape)\n else:\n source_sel = sel.select(self.shape, source_sel, self) # for numpy.s_\n fspace = source_sel.id\n\n if dest_sel is None:\n dest_sel = sel.SimpleSelection(dest.shape)\n else:\n dest_sel = sel.select(dest.shape, dest_sel)\n\n for mspace in dest_sel.broadcast(source_sel.array_shape):\n self.id.read(mspace, fspace, dest, dxpl=self._dxpl)\n\n def write_direct(self, source, source_sel=None, dest_sel=None):\n \"\"\" Write data directly to HDF5 from a NumPy array.\n\n The source array must be C-contiguous. Selections must be\n the output of numpy.s_[<args>].\n\n Broadcasting is supported for simple indexing.\n \"\"\"\n with phil:\n if self._is_empty:\n raise TypeError(\"Empty datasets cannot be written to\")",
"start_line": 1045,
"end_line": 1080,
"total_lines": 1191,
"is_truncated": false
}Generated tokens 62 tokens · stopped: STOP
Okay, it's at line 1045. Let's read it.
<channel|><|tool_call>call:read_file{end_line:1080,filepath:<|"|>h5py/_hl/dataset.py<|"|>,start_line:1045}<tool_call|><|tool_response>
Turn 10at 237 s183 tokens out13,910 prompt tokens
The `read_direct` method:
```python
def read_direct(self, dest, source_sel=None, dest_sel=None):
# ...
with phil:
if self._is_empty:
raise TypeError("Empty datasets have no numpy representation")
# ...
for mspace in dest_sel.broadcast(source_sel.array_shape):
self.id.read(mspace, fspace, dest, dxpl=self._dxpl)
```
Wait, `if self._is_empty: raise TypeError(...)`.
Let's see what `_is_empty` does.
TOOL CALL · read_file
{
"end_line": 660,
"filepath": "h5py/_hl/dataset.py",
"start_line": 655
}Result of read_file 315 characters
{
"status": "ok",
"filepath": "h5py/_hl/dataset.py",
"content": " return arr[0]\n\n @cached_property\n @with_phil\n def _extent_type(self):\n \"\"\"Get extent type for this dataset - SIMPLE, SCALAR or NULL\"\"\"",
"start_line": 655,
"end_line": 660,
"total_lines": 1191,
"is_truncated": false
}Generated tokens 183 tokens · stopped: STOP
The `read_direct` method:
```python
def read_direct(self, dest, source_sel=None, dest_sel=None):
# ...
with phil:
if self._is_empty:
raise TypeError("Empty datasets have no numpy representation")
# ...
for mspace in dest_sel.broadcast(source_sel.array_shape):
self.id.read(mspace, fspace, dest, dxpl=self._dxpl)
```
Wait, `if self._is_empty: raise TypeError(...)`.
Let's see what `_is_empty` does.
<channel|><|tool_call>call:read_file{end_line:660,filepath:<|"|>h5py/_hl/dataset.py<|"|>,start_line:655}<tool_call|><|tool_response>
Turn 11at 240 s52 tokens out14,223 prompt tokens
I missed `_is_empty` again. Let's search for it.
TOOL CALL · run_command
{
"command": "grep -n \"def _is_empty\" h5py/_hl/dataset.py"
}Result of run_command 90 characters
{
"status": "ok",
"stdout": "664: def _is_empty(self):\n",
"stderr": "",
"exit_code": 0
}Generated tokens 52 tokens · stopped: STOP
I missed `_is_empty` again. Let's search for it.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "def _is_empty" h5py/_hl/dataset.py<|"|>}<tool_call|><|tool_response>
Turn 12at 242 s46 tokens out14,327 prompt tokens
Line 664.
TOOL CALL · read_file
{
"end_line": 670,
"filepath": "h5py/_hl/dataset.py",
"start_line": 664
}Result of read_file 329 characters
{
"status": "ok",
"filepath": "h5py/_hl/dataset.py",
"content": " def _is_empty(self):\n \"\"\"Check if extent type is empty\"\"\"\n return self._extent_type == h5s.NULL\n\n @cached_property\n def _dcpl(self):\n \"\"\"",
"start_line": 664,
"end_line": 670,
"total_lines": 1191,
"is_truncated": false
}Generated tokens 46 tokens · stopped: STOP
Line 664.<channel|><|tool_call>call:read_file{end_line:670,filepath:<|"|>h5py/_hl/dataset.py<|"|>,start_line:664}<tool_call|><|tool_response>
Turn 13at 274 s428 tokens out14,512 prompt tokens
`_is_empty` checks if `_extent_type == h5s.NULL`.
`h5s.NULL` is fordatasets that don't have a shape (yet).
But a dataset with shape `(0,)` is NOT `h5s.NULL`. It's a `SIMPLE` extent type, just with one dimension being 0.
So `read_direct` proceeds to `dest_sel.broadcast(source_sel.array_shape)`, which then fails with `ZeroDivisionError`.
So the fix in `h5py/_hl/selections.py` seems correct.
Now I want to verify it. Since I had trouble running `import h5py` due to the "install directory" check, I should try to run the reproduction script again, but this time I'll use a custom `PYTHONPATH` and run it from a directory that is not `/workspace`.
Actually, I can just run it from `/tmp` and set `PYTHONPATH` to `/workspace` if I make sure I don't have `h5py` in `/tmp`.
Wait, the first time I tried:
```bash
cd /tmp && python3 - <<'PY'
import sys
import os
sys.path.append('/workspace')
import h5py
# ...
PY
```
It failed with:
`ImportError: You cannot import h5py from inside the install directory.`
because it was importing from `/workspace/h5py/__init__.py`.
The check in `h5py/__init__.py` is:
```python
try:
from . import _errors
except ImportError:
raise ImportError("You cannot import h5py from inside the install directory.\nChange to another directory first.")
```
Wait, no. Let's read `/workspace/h5py/__init__.py`.
TOOL CALL · read_file
{
"filepath": "h5py/__init__.py"
}Result of read_file 3,947 characters
{
"status": "ok",
"filepath": "h5py/__init__.py",
"content": "# This file is part of h5py, a Python interface to the HDF5 library.\n#\n# http://www.h5py.org\n#\n# Copyright 2008-2013 Andrew Collette and contributors\n#\n# License: Standard 3-clause BSD; see \"license.txt\" for full license terms\n# and contributor agreement.\n\n\"\"\"\n This is the h5py package, a Python interface to the HDF5\n scientific data format.\n\"\"\"\n\nfrom warnings import warn as _warn\nimport atexit\n\n\n# --- Library setup -----------------------------------------------------------\n\n# When importing from the root of the unpacked tarball or git checkout,\n# Python sees the \"h5py\" source directory and tries to load it, which fails.\n# We tried working around this by using \"package_dir\" but that breaks Cython.\ntry:\n from . import _errors\nexcept ImportError:\n import os.path as _op\n if _op.exists(_op.join(_op.dirname(__file__), '..', 'setup.py')):\n raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\n else:\n raise\n\nfrom . import version\n\nif version.hdf5_version_tuple != version.hdf5_built_version_tuple:\n _warn((\"h5py is running against HDF5 {0} when it was built against {1}, \"\n \"this may cause problems\").format(\n '{0}.{1}.{2}'.format(*version.hdf5_version_tuple),\n '{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple)\n ))\n\n\n_errors.silence_errors()\n\nfrom ._conv import register_converters as _register_converters, \\\n unregister_converters as _unregister_converters\n_register_converters()\natexit.register(_unregister_converters)\n\nfrom .h5z import _register_lzf\n_register_lzf()\n\n\n# --- Public API --------------------------------------------------------------\n\nfrom . import h5a, h5d, h5ds, h5f, h5fd, h5g, h5r, h5s, h5t, h5p, h5z, h5pl\n\nfrom ._hl import filters\nfrom ._hl.base import is_hdf5, HLObject, Empty\nfrom ._hl.files import (\n File,\n register_driver,\n unregister_driver,\n registered_drivers,\n)\nfrom ._hl.group import Group, SoftLink, ExternalLink, HardLink\nfrom ._hl.dataset import Dataset\nfrom ._hl.datatype import Datatype\nfrom ._hl.attrs import AttributeManager\nfrom ._hl.vds import VirtualSource, VirtualLayout\n\nfrom ._selector import MultiBlockSlice\nfrom .h5 import get_config\nfrom .h5r import Reference, RegionReference\nfrom .h5t import (special_dtype, check_dtype,\n vlen_dtype, string_dtype, enum_dtype, ref_dtype, regionref_dtype,\n opaque_dtype,\n check_vlen_dtype, check_string_dtype, check_enum_dtype, check_ref_dtype,\n check_opaque_dtype,\n)\nfrom .h5s import UNLIMITED\n\nfrom .version import version as __version__\n\n\ndef run_tests(args=''):\n \"\"\"Run tests with pytest and returns the exit status as an int.\n \"\"\"\n # Lazy-loading of tests package to avoid strong dependency on test\n # requirements, e.g. pytest\n from .tests import run_tests\n return run_tests(args)\n\n\ndef enable_ipython_completer():\n \"\"\" Call this from an interactive IPython session to enable tab-completion\n of group and attribute names.\n \"\"\"\n import sys\n if 'IPython' in sys.modules:\n ip_running = False\n try:\n from IPython.core.interactiveshell import InteractiveShell\n ip_running = InteractiveShell.initialized()\n except ImportError:\n # support <ipython-0.11\n from IPython import ipapi as _ipapi\n ip_running = _ipapi.get() is not None\n except Exception:\n pass\n if ip_running:\n from . import ipy_completer\n return ipy_completer.load_ipython_extension()\n\n raise RuntimeError('Completer must be enabled in active ipython session')",
"start_line": 1,
"end_line": 115,
"total_lines": 115,
"is_truncated": false
}Generated tokens 428 tokens · stopped: STOP
`_is_empty` checks if `_extent_type == h5s.NULL`.
`h5s.NULL` is fordatasets that don't have a shape (yet).
But a dataset with shape `(0,)` is NOT `h5s.NULL`. It's a `SIMPLE` extent type, just with one dimension being 0.
So `read_direct` proceeds to `dest_sel.broadcast(source_sel.array_shape)`, which then fails with `ZeroDivisionError`.
So the fix in `h5py/_hl/selections.py` seems correct.
Now I want to verify it. Since I had trouble running `import h5py` due to the "install directory" check, I should try to run the reproduction script again, but this time I'll use a custom `PYTHONPATH` and run it from a directory that is not `/workspace`.
Actually, I can just run it from `/tmp` and set `PYTHONPATH` to `/workspace` if I make sure I don't have `h5py` in `/tmp`.
Wait, the first time I tried:
```bash
cd /tmp && python3 - <<'PY'
import sys
import os
sys.path.append('/workspace')
import h5py
# ...
PY
```
It failed with:
`ImportError: You cannot import h5py from inside the install directory.`
because it was importing from `/workspace/h5py/__init__.py`.
The check in `h5py/__init__.py` is:
```python
try:
from . import _errors
except ImportError:
raise ImportError("You cannot import h5py from inside the install directory.\nChange to another directory first.")
```
Wait, no. Let's read `/workspace/h5py/__init__.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>h5py/__init__.py<|"|>}<tool_call|><|tool_response>
Turn 14at 349 s250 tokens out4,322 prompt tokens
```python
try:
from . import _errors
except ImportError:
import os.path as _op
if _op.exists(_op.join(_op.dirname(__file__), '..', 'setup.py')):\n raise ImportError("You cannot import h5py from inside the install directory.\nChange to another directory first.")
```
So if `setup.py` exists in the parent directory of `h5py/`, it raises `ImportError`.
In `/workspace`, `setup.py` exists, and `h5py/` is a subdirectory.
So we cannot import `h5py` from `/workspace`.
Wait, how do the tests run?
The tests probably are run using `pytest` which handles the installation or uses a different setup.
If I run `pytest tests/test_dataset.py`, it probably works because it's installed in the environment.
Let's check if `h5py` is already installed in the environment.
TOOL CALL · run_command
{
"command": "python3 -c \"import h5py; print(h5py.__version__)\""
}Result of run_command 1,571 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"/workspace/h5py/__init__.py\", line 25, in <module>\n from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/workspace/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"<string>\", line 1, in <module>\n File \"/workspace/h5py/__init__.py\", line 29, in <module>\n raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
"details": {
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"/workspace/h5py/__init__.py\", line 25, in <module>\n from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/workspace/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"<string>\", line 1, in <module>\n File \"/workspace/h5py/__init__.py\", line 29, in <module>\n raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
"exit_code": 1
}
}Generated tokens 250 tokens · stopped: STOP
```python
try:
from . import _errors
except ImportError:
import os.path as _op
if _op.exists(_op.join(_op.dirname(__file__), '..', 'setup.py')):\n raise ImportError("You cannot import h5py from inside the install directory.\nChange to another directory first.")
```
So if `setup.py` exists in the parent directory of `h5py/`, it raises `ImportError`.
In `/workspace`, `setup.py` exists, and `h5py/` is a subdirectory.
So we cannot import `h5py` from `/workspace`.
Wait, how do the tests run?
The tests probably are run using `pytest` which handles the installation or uses a different setup.
If I run `pytest tests/test_dataset.py`, it probably works because it's installed in the environment.
Let's check if `h5py` is already installed in the environment.
<channel|><|tool_call>call:run_command{command:<|"|>python3 -c "import h5py; print(h5py.__version__)"<|"|>}<tool_call|><|tool_response>
Turn 15at 377 s378 tokens out5,019 prompt tokens
It seems `h5py` is NOT installed in the site-packages, but the current directory `/workspace` is in `sys.path` by default for `python3`, and also `h5py` is a directory in `/workspace`. So when I run `python3 -c "import h5py"`, it finds `/workspace/h5py` and triggers that check. I should move to `/tmp` first and then run the Python code. But wait, if it's not installed in site-packages, and I move to `/tmp` and remove `/workspace` from `sys.path`, it won't find it. If I add `/workspace` to `sys.path`, the check in `h5py/__init__.py` will still trigger because `_op.exists(_op.join(_op.dirname(__file__), '..', 'setup.py'))` will be true (since `__file__` will be `/workspace/h5py/__init__.py` and `..` is `/workspace` which contains `setup.py`). So the only way to import `h5py` from source without getting this error is to remove the `setup.py` file from `/workspace` (which I shouldn't do) OR to rename it. Wait, there's a better way. I can just run the tests. If the environment is set up correctly for testing, `pytest` should work. But wait, if `python3 -c "import h5py"` fails, `pytest` might also fail if it relies on `h5py` being installed. Let's try:
TOOL CALL · run_command
{
"command": "pytest tests/test_dataset.py -q --tb=short"
}Result of run_command 274 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "ERROR: file or directory not found: tests/test_dataset.py\n\n",
"details": {
"stdout": "\nno tests ran in 0.00s\n",
"stderr": "ERROR: file or directory not found: tests/test_dataset.py\n\n",
"exit_code": 4
}
}Generated tokens 378 tokens · stopped: STOP
It seems `h5py` is NOT installed in the site-packages, but the current directory `/workspace` is in `sys.path` by default for `python3`, and also `h5py` is a directory in `/workspace`. So when I run `python3 -c "import h5py"`, it finds `/workspace/h5py` and triggers that check.
I should move to `/tmp` first and then run the Python code. But wait, if it's not installed in site-packages, and I move to `/tmp` and remove `/workspace` from `sys.path`, it won't find it. If I add `/workspace` to `sys.path`, the check in `h5py/__init__.py` will still trigger because `_op.exists(_op.join(_op.dirname(__file__), '..', 'setup.py'))` will be true (since `__file__` will be `/workspace/h5py/__init__.py` and `..` is `/workspace` which contains `setup.py`).
So the only way to import `h5py` from source without getting this error is to remove the `setup.py` file from `/workspace` (which I shouldn't do) OR to rename it.
Wait, there's a better way. I can just run the tests. If the environment is set up correctly for testing, `pytest` should work.
But wait, if `python3 -c "import h5py"` fails, `pytest` might also fail if it relies on `h5py` being installed.
Let's try:
<channel|><|tool_call>call:run_command{command:<|"|>pytest tests/test_dataset.py -q --tb=short<|"|>}<tool_call|><|tool_response>
Turn 16at 382 s58 tokens out5,506 prompt tokens
I forgot to look at the workspace layout. Actually, the layout was provided in the prompt but I didn't see it. Let me list the files.
TOOL CALL · run_command
{
"command": "ls -R | grep \"test_dataset\""
}Result of run_command 124 characters
{
"status": "ok",
"stdout": "test_dataset.py\ntest_dataset_getitem.py\ntest_dataset_swmr.py\n",
"stderr": "",
"exit_code": 0
}Generated tokens 58 tokens · stopped: STOP
I forgot to look at the workspace layout. Actually, the layout was provided in the prompt but I didn't see it. Let me list the files.
<channel|><|tool_call>call:run_command{command:<|"|>ls -R | grep "test_dataset"<|"|>}<tool_call|><|tool_response>
Turn 17at 387 s63 tokens out5,628 prompt tokens
Ah, they are in the root directory, not in `tests/`. Wait, no, `ls -R` says they are there. Let me check where they are.
TOOL CALL · run_command
{
"command": "find . -name \"test_dataset.py\""
}Result of run_command 90 characters
{
"status": "ok",
"stdout": "./h5py/tests/test_dataset.py\n",
"stderr": "",
"exit_code": 0
}Generated tokens 63 tokens · stopped: STOP
Ah, they are in the root directory, not in `tests/`. Wait, no, `ls -R` says they are there. Let me check where they are.
<channel|><|tool_call>call:run_command{command:<|"|>find . -name "test_dataset.py"<|"|>}<tool_call|><|tool_response>
Turn 18at 392 s58 tokens out5,742 prompt tokens
Okay, they are in `h5py/tests/test_dataset.py`. Let's try:
TOOL CALL · run_command
{
"command": "pytest h5py/tests/test_dataset.py -q --tb=short"
}Result of run_command 819 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "ImportError while loading conftest '/workspace/h5py/tests/conftest.py'.\nh5py/__init__.py:29: in <module>\n raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nE ImportError: You cannot import h5py from inside the install directory.\nE Change to another directory first.\n",
"details": {
"stdout": "",
"stderr": "ImportError while loading conftest '/workspace/h5py/tests/conftest.py'.\nh5py/__init__.py:29: in <module>\n raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nE ImportError: You cannot import h5py from inside the install directory.\nE Change to another directory first.\n",
"exit_code": 4
}
}Generated tokens 58 tokens · stopped: STOP
Okay, they are in `h5py/tests/test_dataset.py`.
Let's try:
<channel|><|tool_call>call:run_command{command:<|"|>pytest h5py/tests/test_dataset.py -q --tb=short<|"|>}<tool_call|><|tool_response>
Turn 19at 408 s276 tokens out6,039 prompt tokens
This is frustrating. The environment seems to be set up in a way that prevents importing `h5py` when `setup.py` is present in the source root. But I just need to verify the fix. If I can't import `h5py` to run a reproducer, I can't verify. Wait, if I run the reproducer from a directory that IS NOT `/workspace`, it should work IF `h5py` is installed as a package. But I tried that and it didn't work because it was probably picking up `/workspace/h5py` and not a site-package installation. If I run `python3 -S` it might avoid some of this, or I can try to move my reproducer script to `/tmp` and make sure `/workspace` is NOT in `sys.path`. But then it won't find `h5py` at all unless it's installed. Is `h5py` installed? `pip list` is not available. Let's try `python3 -c "import h5py"` from `/tmp` again.
TOOL CALL · run_command
{
"command": "cd /tmp && python3 -c \"import h5py; print(h5py.__file__)\""
}Result of run_command 1,541 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"/h5py/h5py/__init__.py\", line 25, in <module>\n from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/h5py/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"<string>\", line 1, in <module>\n File \"/h5py/h5py/__init__.py\", line 29, in <module>\n raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
"details": {
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"/h5py/h5py/__init__.py\", line 25, in <module>\n from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/h5py/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"<string>\", line 1, in <module>\n File \"/h5py/h5py/__init__.py\", line 29, in <module>\n raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
"exit_code": 1
}
}Generated tokens 276 tokens · stopped: STOP
This is frustrating. The environment seems to be set up in a way that prevents importing `h5py` when `setup.py` is present in the source root.
But I just need to verify the fix. If I can't import `h5py` to run a reproducer, I can't verify.
Wait, if I run the reproducer from a directory that IS NOT `/workspace`, it should work IF `h5py` is installed as a package. But I tried that and it didn't work because it was probably picking up `/workspace/h5py` and not a site-package installation.
If I run `python3 -S` it might avoid some of this, or I can try to move my reproducer script to `/tmp` and make sure `/workspace` is NOT in `sys.path`. But then it won't find `h5py` at all unless it's installed.
Is `h5py` installed?
`pip list` is not available.
Let's try `python3 -c "import h5py"` from `/tmp` again.
<channel|><|tool_call>call:run_command{command:<|"|>cd /tmp && python3 -c "import h5py; print(h5py.__file__)"<|"|>}<tool_call|><|tool_response>
Turn 20at 416 s106 tokens out6,774 prompt tokens
Wait, `__file__` is `/h5py/h5py/__init__.py`? No, it failed before printing it. But the traceback says `/h5py/h5py/__init__.py`. This is weird. Is there another `h5py` installation in `/h5py/h5py`? Let's check `/h5py` directory.
TOOL CALL · run_command
{
"command": "ls -d /h5py"
}Result of run_command 181 characters
{
"status": "ok",
"stdout": "/h5py\n",
"stderr": "",
"exit_code": 0,
"budget_warning": "Only 10 tool call(s) remaining (20/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 106 tokens · stopped: STOP
Wait, `__file__` is `/h5py/h5py/__init__.py`? No, it failed before printing it. But the traceback says `/h5py/h5py/__init__.py`.
This is weird. Is there another `h5py` installation in `/h5py/h5py`?
Let's check `/h5py` directory.<channel|><|tool_call>call:run_command{command:<|"|>ls -d /h5py<|"|>}<tool_call|><|tool_response>
Turn 21at 426 s171 tokens out6,960 prompt tokens
I see `/h5py` in the root. Maybe the environment is set up such that `/h5py` is the installation directory and `/workspace` is the source directory? But the traceback said `/h5py/h5py/__init__.py`. Wait, if I am in `/tmp` and I run `import h5py`, where is it finding it? If it's in `/usr/local/lib/python3.10/site-packages/h5py`, that's what I'd expect. But the traceback says `/h5py/h5py/__init__.py`. Let's check what's in `/h5py`.
TOOL CALL · run_command
{
"command": "ls -F /h5py"
}Result of run_command 181 characters
{
"status": "ok",
"stdout": "/h5py@\n",
"stderr": "",
"exit_code": 0,
"budget_warning": "Only 9 tool call(s) remaining (21/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 171 tokens · stopped: STOP
I see `/h5py` in the root. Maybe the environment is set up such that `/h5py` is the installation directory and `/workspace` is the source directory?
But the traceback said `/h5py/h5py/__init__.py`.
Wait, if I am in `/tmp` and I run `import h5py`, where is it finding it?
If it's in `/usr/local/lib/python3.10/site-packages/h5py`, that's what I'd expect.
But the traceback says `/h5py/h5py/__init__.py`.
Let's check what's in `/h5py`.
<channel|><|tool_call>call:run_command{command:<|"|>ls -F /h5py<|"|>}<tool_call|><|tool_response>
Turn 22at 429 s37 tokens out7,210 prompt tokens
`/h5py@` means it's a symbolic link.
TOOL CALL · run_command
{
"command": "ls -l /h5py"
}Result of run_command 233 characters
{
"status": "ok",
"stdout": "lrwxrwxrwx 1 root root 10 Nov 14 03:16 /h5py -> /workspace\n",
"stderr": "",
"exit_code": 0,
"budget_warning": "Only 8 tool call(s) remaining (22/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 37 tokens · stopped: STOP
`/h5py@` means it's a symbolic link.
<channel|><|tool_call>call:run_command{command:<|"|>ls -l /h5py<|"|>}<tool_call|><|tool_response>
Turn 23at 442 s204 tokens out7,350 prompt tokens
Aha! `/h5py` is a symlink to `/workspace`. So when I import `h5py`, it's finding `/h5py/h5py` which is just `/workspace/h5py`. And then it sees `/h5py/setup.py` which is `/workspace/setup.py`, and it triggers the exception. This means the environment is designed to prevent you from importing the package while you are in the source tree. How do I then run the tests? Maybe the tests are run with a different python environment or by renaming `setup.py`? No, that can't be. Wait, if I rename `setup.py` temporarily, I can import it!
TOOL CALL · run_command
{
"command": "mv setup.py setup.py.bak && python3 -c \"import h5py; print('success')\" && mv setup.py.bak setup.py"
}Result of run_command 880 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"<string>\", line 1, in <module>\n File \"/workspace/h5py/__init__.py\", line 25, in <module>\n from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/workspace/h5py/__init__.py)\n",
"details": {
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"<string>\", line 1, in <module>\n File \"/workspace/h5py/__init__.py\", line 25, in <module>\n from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/workspace/h5py/__init__.py)\n",
"exit_code": 1
},
"budget_warning": "Only 7 tool call(s) remaining (23/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 204 tokens · stopped: STOP
Aha! `/h5py` is a symlink to `/workspace`. So when I import `h5py`, it's finding `/h5py/h5py` which is just `/workspace/h5py`. And then it sees `/h5py/setup.py` which is `/workspace/setup.py`, and it triggers the exception.
This means the environment is designed to prevent you from importing the package while you are in the source tree.
How do I then run the tests?
Maybe the tests are run with a different python environment or by renaming `setup.py`?
No, that can't be.
Wait, if I rename `setup.py` temporarily, I can import it!
<channel|><|tool_call>call:run_command{command:<|"|>mv setup.py setup.py.bak && python3 -c "import h5py; print('success')" && mv setup.py.bak setup.py<|"|>}<tool_call|><|tool_response>
Patch, tests and logs
Final code change Included
diff --git a/setup.py b/setup.py.bak similarity index 100% rename from setup.py rename to setup.py.bak
Test output Included
============================= test session starts ============================== collected 226 items h5py/tests/test_dataset.py ...............................F............. [ 19%] ........................................................................ [ 51%] ........................................................................ [ 83%] ..................................... [100%] =================================== FAILURES =================================== E ZeroDivisionError: integer division or modulo by zero /h5py/h5py/_hl/selections.py:293: ZeroDivisionError: integer division or modulo by zero ==================================== PASSES ==================================== - generated xml file: /tmp/rebench-grade-7622345d004a4a9d9da41c8ed430de6d.xml -- =========================== short test summary info ============================ PASSED h5py/tests/test_dataset.py::TestRepr::test_repr_open PASSED h5py/tests/test_dataset.py::TestCreateShape::test_complex256 PASSED h5py/tests/test_dataset.py::TestCreateShape::test_create_extended PASSED h5py/tests/test_dataset.py::TestCreateShape::test_create_integer PASSED h5py/tests/test_dataset.py::TestCreateShape::test_create_integer_extended PASSED h5py/tests/test_dataset.py::TestCreateShape::test_create_scalar PASSED h5py/tests/test_dataset.py::TestCreateShape::test_create_simple PASSED h5py/tests/test_dataset.py::TestCreateShape::test_default_dtype PASSED h5py/tests/test_dataset.py::TestCreateShape::test_long_double PASSED h5py/tests/test_dataset.py::TestCreateShape::test_missing_shape PASSED h5py/tests/test_dataset.py::TestCreateShape::test_name_bytes PASSED h5py/tests/test_dataset.py::TestCreateData::test_appropriate_low_level_id PASSED h5py/tests/test_dataset.py::TestCreateData::test_create_bytestring PASSED h5py/tests/test_dataset.py::TestCreateData::test_create_extended PASSED h5py/tests/test_dataset.py::TestCreateData::test_create_incompatible_data PASSED h5py/tests/test_dataset.py::TestCreateData::test_create_np_s PASSED h5py/tests/test_dataset.py::TestCreateData::test_create_np_u PASSED h5py/tests/test_dataset.py::TestCreateData::test_create_scalar PASSED h5py/tests/test_dataset.py::TestCreateData::test_create_strings PASSED h5py/tests/test_dataset.py::TestCreateData::test_dataset_intermediate_group PASSED h5py/tests/test_dataset.py::TestCreateData::test_empty_create_via_Empty_class PASSED h5py/tests/test_dataset.py::TestCreateData::test_empty_create_via_None_shape PASSED h5py/tests/test_dataset.py::TestCreateData::test_reshape PASSED h5py/tests/test_dataset.py::TestReadDirectly::test_read_direct[source_shape0-dest_shape0-source_sel0-dest_sel0] PASSED h5py/tests/test_dataset.py::TestReadDirectly::test_read_direct[source_shape1-dest_shape1-source_sel1-dest_sel1] PASSED h5py/tests/test_dataset.py::TestReadDirectly::test_read_direct[source_shape2-dest_shape2-source_sel2-dest_sel2] PASSED h5py/tests/test_dataset.py::TestReadDirectly::test_read_direct[source_shape3-dest_shape3-source_sel3-dest_sel3] PASSED h5py/tests/test_dataset.py::TestReadDirectly::test_no_sel PASSED h5py/tests/test_dataset.py::TestReadDirectly::test_empty PASSED h5py/tests/test_dataset.py::TestReadDirectly::test_wrong_shape PASSED h5py/tests/test_dataset.py::TestReadDirectly::test_not_c_contiguous PASSED h5py/tests/test_dataset.py::TestWriteDirectly::test_write_direct[source_shape0-dest_shape0-source_sel0-dest_sel0] PASSED h5py/tests/test_dataset.py::TestWriteDirectly::test_write_direct[source_shape1-dest_shape1-source_sel1-dest_sel1] PASSED h5py/tests/test_dataset.py::TestWriteDirectly::test_write_direct[source_shape2-dest_shape2-source_sel2-dest_sel2] PASSED h5py/tests/test_dataset.py::TestWriteDirectly::test_write_direct[source_shape3-dest_shape3-source_sel3-dest_sel3] PASSED h5py/tests/test_dataset.py::TestWriteDirectly::test_empty PASSED h5py/tests/test_dataset.py::TestWriteDirectly::test_wrong_shape PASSED h5py/tests/test_dataset.py::TestWriteDirectly::test_not_c_contiguous PASSED h5py/tests/test_dataset.py::TestCreateRequire::test_create PASSED h5py/tests/test_dataset.py::TestCreateRequire::test_create_1D PASSED h5py/tests/test_dataset.py::TestCreateRequire::test_create_existing PASSED h5py/tests/test_dataset.py::TestCreateRequire::test_dtype_close PASSED h5py/tests/test_dataset.py::TestCreateRequire::test_dtype_conflict PASSED h5py/tests/test_dataset.py::TestCreateRequire::test_dtype_exact PASSED h5py/tests/test_dataset.py::TestCreateRequire::test_shape_conflict PASSED h5py/tests/test_dataset.py::TestCreateRequire::test_type_conflict PASSED h5py/tests/test_dataset.py::TestCreateChunked::test_auto_chunks PASSED h5py/tests/test_dataset.py::TestCreateChunked::test_auto_chunks_abuse PASSED h5py/tests/test_dataset.py::TestCreateChunked::test_auto_chunks_no_shape PASSED h5py/tests/test_dataset.py::TestCreateChunked::test_chunks_false PASSED h5py/tests/test_dataset.py::TestCreateChunked::test_chunks_mismatch PASSED h5py/tests/test_dataset.py::TestCreateChunked::test_chunks_scalar PASSED h5py/tests/test_dataset.py::TestCreateChunked::test_create_chunks PASSED h5py/tests/test_dataset.py::TestCreateChunked::test_create_chunks_integer PASSED h5py/tests/test_dataset.py::TestCreateChunked::test_scalar_assignment PASSED h5py/tests/test_dataset.py::TestCreateFillvalue::test_compound PASSED h5py/tests/test_dataset.py::TestCreateFillvalue::test_create_fillval PASSED h5py/tests/test_dataset.py::TestCreateFillvalue::test_exc PASSED h5py/tests/test_dataset.py::TestCreateFillvalue::test_property PASSED h5py/tests/test_dataset.py::TestCreateFillvalue::test_property_none PASSED h5py/tests/test_dataset.py::TestFillTime::test_compressed_default PASSED h5py/tests/test_dataset.py::TestFillTime::test_fill_time_alloc PASSED h5py/tests/test_dataset.py::TestFillTime::test_fill_time_default PASSED h5py/tests/test_dataset.py::TestFillTime::test_fill_time_ifset PASSED h5py/tests/test_dataset.py::TestFillTime::test_fill_time_never PASSED h5py/tests/test_dataset.py::TestFillTime::test_invalid_fill_time PASSED h5py/tests/test_dataset.py::TestFillTime::test_non_str_fill_time PASSED h5py/tests/test_dataset.py::TestFillTime::test_resize_chunk_fill_time_default PASSED h5py/tests/test_dataset.py::TestFillTime::test_resize_chunk_fill_time_never PASSED h5py/tests/test_dataset.py::test_get_unset_fill_value[int-0] PASSED h5py/tests/test_dataset.py::test_get_unset_fill_value[int32-0] PASSED h5py/tests/test_dataset.py::test_get_unset_fill_value[int64-0] PASSED h5py/tests/test_dataset.py::test_get_unset_fill_value[float-0.0] PASSED h5py/tests/test_dataset.py::test_get_unset_fill_value[float32-0.0] PASSED h5py/tests/test_dataset.py::test_get_unset_fill_value[float64-0.0] PASSED h5py/tests/test_dataset.py::test_get_unset_fill_value[dt6-] PASSED h5py/tests/test_dataset.py::test_get_unset_fill_value[dt7-] PASSED h5py/tests/test_dataset.py::test_get_unset_fill_value[dt8-] PASSED h5py/tests/test_dataset.py::test_get_unset_fill_value[dt9-] PASSED h5py/tests/test_dataset.py::test_get_unset_fill_value[dt10-] PASSED h5py/tests/test_dataset.py::TestCreateNamedType::test_named PASSED h5py/tests/test_dataset.py::TestCreateGzip::test_gzip PASSED h5py/tests/test_dataset.py::TestCreateGzip::test_gzip_exc PASSED h5py/tests/test_dataset.py::TestCreateGzip::test_gzip_implicit PASSED h5py/tests/test_dataset.py::TestCreateGzip::test_gzip_number PASSED h5py/tests/test_dataset.py::TestCreateCompressionNumber::test_compression_number PASSED h5py/tests/test_dataset.py::TestCreateCompressionNumber::test_compression_number_invalid PASSED h5py/tests/test_dataset.py::TestCreateLZF::test_lzf PASSED h5py/tests/test_dataset.py::TestCreateLZF::test_lzf_exc PASSED h5py/tests/test_dataset.py::TestCreateSZIP::test_szip PASSED h5py/tests/test_dataset.py::TestCreateShuffle::test_shuffle PASSED h5py/tests/test_dataset.py::TestCreateFletcher32::test_fletcher32 PASSED h5py/tests/test_dataset.py::TestCreateScaleOffset::test_float PASSED h5py/tests/test_dataset.py::TestCreateScaleOffset::test_float_fails_without_options PASSED h5py/tests/test_dataset.py::TestCreateScaleOffset::test_int PASSED h5py/tests/test_dataset.py::TestCreateScaleOffset::test_int_with_minbits PASSED h5py/tests/test_dataset.py::TestCreateScaleOffset::test_int_with_minbits_lossy PASSED h5py/tests/test_dataset.py::TestCreateScaleOffset::test_non_integer PASSED h5py/tests/test_dataset.py::TestCreateScaleOffset::test_unsupport_dtype PASSED h5py/tests/test_dataset.py::TestExternal::test_contents PASSED h5py/tests/test_dataset.py::TestExternal::test_contents_efile_prefix PASSED h5py/tests/test_dataset.py::TestExternal::test_create_expandable PASSED h5py/tests/test_dataset.py::TestExternal::test_invalid PASSED h5py/tests/test_dataset.py::TestExternal::test_iter_multi PASSED h5py/tests/test_dataset.py::TestExternal::test_name_path PASSED h5py/tests/test_dataset.py::TestExternal::test_name_str PASSED h5py/tests/test_dataset.py::TestAutoCreate::test_string_fixed PASSED h5py/tests/test_dataset.py::TestAutoCreate::test_vlen_bytes PASSED h5py/tests/test_dataset.py::TestAutoCreate::test_vlen_unicode PASSED h5py/tests/test_dataset.py::TestCreateLike::test_maxshape PASSED h5py/tests/test_dataset.py::TestCreateLike::test_no_chunks PASSED h5py/tests/test_dataset.py::TestCreateLike::test_track_times PASSED h5py/tests/test_dataset.py::TestChunkIterator::test_1d PASSED h5py/tests/test_dataset.py::TestChunkIterator::test_2d PASSED h5py/tests/test_dataset.py::TestChunkIterator::test_2d_partial_slice PASSED h5py/tests/test_dataset.py::TestChunkIterator::test_no_chunks PASSED h5py/tests/test_dataset.py::TestResize::test_axis_exc PASSED h5py/tests/test_dataset.py::TestResize::test_create PASSED h5py/tests/test_dataset.py::TestResize::test_create_1D PASSED h5py/tests/test_dataset.py::TestResize::test_resize PASSED h5py/tests/test_dataset.py::TestResize::test_resize_1D PASSED h5py/tests/test_dataset.py::TestResize::test_resize_axis PASSED h5py/tests/test_dataset.py::TestResize::test_resize_nonchunked PASSED h5py/tests/test_dataset.py::TestResize::test_resize_over PASSED h5py/tests/test_dataset.py::TestResize::test_zero_dim PASSED h5py/tests/test_dataset.py::TestDtype::test_dtype PASSED h5py/tests/test_dataset.py::TestDtype::test_dtype_complex32 PASSED h5py/tests/test_dataset.py::TestLen::test_len PASSED h5py/tests/test_dataset.py::TestLen::test_len_big PASSED h5py/tests/test_dataset.py::TestIter::test_iter PASSED h5py/tests/test_dataset.py::TestIter::test_iter_scalar PASSED h5py/tests/test_dataset.py::TestStrings::test_asstr PASSED h5py/tests/test_dataset.py::TestStrings::test_asstr_fixed PASSED h5py/tests/test_dataset.py::TestStrings::test_fixed_ascii PASSED h5py/tests/test_dataset.py::TestStrings::test_fixed_bytes_fillvalue PASSED h5py/tests/test_dataset.py::TestStrings::test_fixed_unicode PASSED h5py/tests/test_dataset.py::TestStrings::test_fixed_utf8 PASSED h5py/tests/test_dataset.py::TestStrings::test_fixed_utf_8_fillvalue PASSED h5py/tests/test_dataset.py::TestStrings::test_retrieve_vlen_unicode PASSED h5py/tests/test_dataset.py::TestStrings::test_roundtrip_fixed_bytes PASSED h5py/tests/test_dataset.py::TestStrings::test_roundtrip_vlen_bytes PASSED h5py/tests/test_dataset.py::TestStrings::test_unicode_write_bytes PASSED h5py/tests/test_dataset.py::TestStrings::test_unicode_write_error PASSED h5py/tests/test_dataset.py::TestStrings::test_vlen_bytes PASSED h5py/tests/test_dataset.py::TestStrings::test_vlen_bytes_fillvalue PASSED h5py/tests/test_dataset.py::TestStrings::test_vlen_bytes_write_ascii_str PASSED h5py/tests/test_dataset.py::TestStrings::test_vlen_unicode PASSED h5py/tests/test_dataset.py::TestStrings::test_vlen_unicode_fillvalue PASSED h5py/tests/test_dataset.py::TestCompound::test_assign PASSED h5py/tests/test_dataset.py::TestCompound::test_fields PASSED h5py/tests/test_dataset.py::TestCompound::test_nested_compound_vlen PASSED h5py/tests/test_dataset.py::TestCompound::test_rt PASSED h5py/tests/test_dataset.py::TestSubarray::test_write_array PASSED h5py/tests/test_dataset.py::TestSubarray::test_write_list PASSED h5py/tests/test_dataset.py::TestEnum::test_create PASSED h5py/tests/test_dataset.py::TestEnum::test_readwrite PASSED h5py/tests/test_dataset.py::TestFloats::test_mini PASSED h5py/tests/test_dataset.py::TestFloats::test_mini_mapping PASSED h5py/tests/test_dataset.py::TestTrackTimes::test_disable_track_times PASSED h5py/tests/test_dataset.py::TestTrackTimes::test_invalid_track_times PASSED h5py/tests/test_dataset.py::TestZeroShape::test_array_conversion PASSED h5py/tests/test_dataset.py::TestZeroShape::test_reading PASSED h5py/tests/test_dataset.py::TestRegionRefs::test_create_ref PASSED h5py/tests/test_dataset.py::TestRegionRefs::test_empty_region PASSED h5py/tests/test_dataset.py::TestRegionRefs::test_ref_shape PASSED h5py/tests/test_dataset.py::TestRegionRefs::test_scalar_dataset PASSED h5py/tests/test_dataset.py::TestAstype::test_astype_wrapper PASSED h5py/tests/test_dataset.py::TestAstype::test_astype_wrapper_asarray PASSED h5py/tests/test_dataset.py::TestAstype::test_astype_wrapper_len PASSED h5py/tests/test_dataset.py::TestScalarCompound::test_scalar_compound PASSED h5py/tests/test_dataset.py::TestVlen::test_asstr_array_dtype PASSED h5py/tests/test_dataset.py::TestVlen::test_convert PASSED h5py/tests/test_dataset.py::TestVlen::test_int PASSED h5py/tests/test_dataset.py::TestVlen::test_multidim PASSED h5py/tests/test_dataset.py::TestVlen::test_non_contiguous_arrays PASSED h5py/tests/test_dataset.py::TestVlen::test_numpy_float16 PASSED h5py/tests/test_dataset.py::TestVlen::test_numpy_float32 PASSED h5py/tests/test_dataset.py::TestVlen::test_numpy_float64_2 PASSED h5py/tests/test_dataset.py::TestVlen::test_numpy_float64_from_dtype PASSED h5py/tests/test_dataset.py::TestVlen::test_reuse_from_other PASSED h5py/tests/test_dataset.py::TestVlen::test_reuse_struct_from_other PASSED h5py/tests/test_dataset.py::TestLowOpen::test_dapl PASSED h5py/tests/test_dataset.py::TestLowOpen::test_get_access_list PASSED h5py/tests/test_dataset.py::test_get_chunk_details PASSED h5py/tests/test_dataset.py::test_chunk_iter PASSED h5py/tests/test_dataset.py::test_empty_shape PASSED h5py/tests/test_dataset.py::test_zero_storage_size PASSED h5py/tests/test_dataset.py::test_python_int_uint64 PASSED h5py/tests/test_dataset.py::test_setitem_fancy_indexing PASSED h5py/tests/test_dataset.py::test_vlen_spacepad PASSED h5py/tests/test_dataset.py::test_vlen_nullterm PASSED h5py/tests/test_dataset.py::test_allow_unknown_filter PASSED h5py/tests/test_dataset.py::test_dset_chunk_cache PASSED h5py/tests/test_dataset.py::TestCommutative::test_basetype_commutative PASSED h5py/tests/test_dataset.py::TestCommutative::test_numpy_commutative PASSED h5py/tests/test_dataset.py::TestVirtualPrefix::test_virtual_prefix_create PASSED h5py/tests/test_dataset.py::TestVirtualPrefix::test_virtual_prefix_require PASSED h5py/tests/test_dataset.py::test_array_copy[ds-True] PASSED h5py/tests/test_dataset.py::test_array_copy[ds-None] PASSED h5py/tests/test_dataset.py::test_array_copy[astype-True] PASSED h5py/tests/test_dataset.py::test_array_copy[astype-None] PASSED h5py/tests/test_dataset.py::test_array_copy[asstr-True] PASSED h5py/tests/test_dataset.py::test_array_copy[asstr-None] PASSED h5py/tests/test_dataset.py::test_array_copy[fields-True] PASSED h5py/tests/test_dataset.py::test_array_copy[fields-None] PASSED h5py/tests/test_dataset.py::test_array_copy_false[ds] PASSED h5py/tests/test_dataset.py::test_array_copy_false[astype] PASSED h5py/tests/test_dataset.py::test_array_copy_false[asstr] PASSED h5py/tests/test_dataset.py::test_array_copy_false[fields] PASSED h5py/tests/test_dataset.py::test_array_dtype[ds] PASSED h5py/tests/test_dataset.py::test_array_dtype[astype] PASSED h5py/tests/test_dataset.py::test_array_dtype[asstr] PASSED h5py/tests/test_dataset.py::test_array_dtype[fields] PASSED h5py/tests/test_dataset.py::test_array_scalar[ds] PASSED h5py/tests/test_dataset.py::test_array_scalar[astype] PASSED h5py/tests/test_dataset.py::test_array_scalar[asstr] PASSED h5py/tests/test_dataset.py::test_array_scalar[fields] PASSED h5py/tests/test_dataset.py::test_array_nd[ds] PASSED h5py/tests/test_dataset.py::test_array_nd[astype] PASSED h5py/tests/test_dataset.py::test_array_nd[asstr] PASSED h5py/tests/test_dataset.py::test_array_nd[fields] PASSED h5py/tests/test_dataset.py::test_view_properties[ds] PASSED h5py/tests/test_dataset.py::test_view_properties[astype] PASSED h5py/tests/test_dataset.py::test_view_properties[asstr] PASSED h5py/tests/test_dataset.py::test_view_properties[fields] FAILED h5py/tests/test_dataset.py::TestReadDirectly::test_zero_length - ZeroD... ======================== 1 failed, 225 passed in 0.36s =========================
Test errors Included
Test report (JUnit) Included
<?xml version="1.0" encoding="utf-8"?><testsuites name="pytest tests"><testsuite name="pytest" errors="0" failures="1" skipped="0" tests="226" time="0.348" timestamp="2026-11-14T04:37:53.221074+00:00" hostname="fc0936256ce6"><testcase classname="h5py.tests.test_dataset.TestRepr" name="test_repr_open" time="0.002" /><testcase classname="h5py.tests.test_dataset.TestCreateShape" name="test_complex256" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateShape" name="test_create_extended" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateShape" name="test_create_integer" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateShape" name="test_create_integer_extended" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateShape" name="test_create_scalar" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateShape" name="test_create_simple" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateShape" name="test_default_dtype" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateShape" name="test_long_double" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateShape" name="test_missing_shape" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateShape" name="test_name_bytes" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateData" name="test_appropriate_low_level_id" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateData" name="test_create_bytestring" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateData" name="test_create_extended" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateData" name="test_create_incompatible_data" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateData" name="test_create_np_s" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateData" name="test_create_np_u" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateData" name="test_create_scalar" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateData" name="test_create_strings" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateData" name="test_dataset_intermediate_group" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateData" name="test_empty_create_via_Empty_class" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateData" name="test_empty_create_via_None_shape" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateData" name="test_reshape" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestReadDirectly" name="test_read_direct[source_shape0-dest_shape0-source_sel0-dest_sel0]" time="0.015" /><testcase classname="h5py.tests.test_dataset.TestReadDirectly" name="test_read_direct[source_shape1-dest_shape1-source_sel1-dest_sel1]" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestReadDirectly" name="test_read_direct[source_shape2-dest_shape2-source_sel2-dest_sel2]" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestReadDirectly" name="test_read_direct[source_shape3-dest_shape3-source_sel3-dest_sel3]" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestReadDirectly" name="test_no_sel" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestReadDirectly" name="test_empty" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestReadDirectly" name="test_wrong_shape" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestReadDirectly" name="test_not_c_contiguous" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestReadDirectly" name="test_zero_length" time="0.001"><failure message="ZeroDivisionError: integer division or modulo by zero">E ZeroDivisionError: integer division or modulo by zero</failure></testcase><testcase classname="h5py.tests.test_dataset.TestWriteDirectly" name="test_write_direct[source_shape0-dest_shape0-source_sel0-dest_sel0]" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestWriteDirectly" name="test_write_direct[source_shape1-dest_shape1-source_sel1-dest_sel1]" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestWriteDirectly" name="test_write_direct[source_shape2-dest_shape2-source_sel2-dest_sel2]" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestWriteDirectly" name="test_write_direct[source_shape3-dest_shape3-source_sel3-dest_sel3]" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestWriteDirectly" name="test_empty" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestWriteDirectly" name="test_wrong_shape" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestWriteDirectly" name="test_not_c_contiguous" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateRequire" name="test_create" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateRequire" name="test_create_1D" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateRequire" name="test_create_existing" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateRequire" name="test_dtype_close" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateRequire" name="test_dtype_conflict" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateRequire" name="test_dtype_exact" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateRequire" name="test_shape_conflict" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateRequire" name="test_type_conflict" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateChunked" name="test_auto_chunks" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateChunked" name="test_auto_chunks_abuse" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateChunked" name="test_auto_chunks_no_shape" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateChunked" name="test_chunks_false" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateChunked" name="test_chunks_mismatch" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateChunked" name="test_chunks_scalar" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateChunked" name="test_create_chunks" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateChunked" name="test_create_chunks_integer" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateChunked" name="test_scalar_assignment" time="0.002" /><testcase classname="h5py.tests.test_dataset.TestCreateFillvalue" name="test_compound" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateFillvalue" name="test_create_fillval" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateFillvalue" name="test_exc" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateFillvalue" name="test_property" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateFillvalue" name="test_property_none" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestFillTime" name="test_compressed_default" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestFillTime" name="test_fill_time_alloc" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestFillTime" name="test_fill_time_default" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestFillTime" name="test_fill_time_ifset" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestFillTime" name="test_fill_time_never" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestFillTime" name="test_invalid_fill_time" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestFillTime" name="test_non_str_fill_time" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestFillTime" name="test_resize_chunk_fill_time_default" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestFillTime" name="test_resize_chunk_fill_time_never" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_get_unset_fill_value[int-0]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_get_unset_fill_value[int32-0]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_get_unset_fill_value[int64-0]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_get_unset_fill_value[float-0.0]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_get_unset_fill_value[float32-0.0]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_get_unset_fill_value[float64-0.0]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_get_unset_fill_value[dt6-]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_get_unset_fill_value[dt7-]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_get_unset_fill_value[dt8-]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_get_unset_fill_value[dt9-]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_get_unset_fill_value[dt10-]" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateNamedType" name="test_named" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateGzip" name="test_gzip" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateGzip" name="test_gzip_exc" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateGzip" name="test_gzip_implicit" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateGzip" name="test_gzip_number" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateCompressionNumber" name="test_compression_number" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateCompressionNumber" name="test_compression_number_invalid" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateLZF" name="test_lzf" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateLZF" name="test_lzf_exc" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateSZIP" name="test_szip" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateShuffle" name="test_shuffle" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateFletcher32" name="test_fletcher32" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateScaleOffset" name="test_float" time="0.010" /><testcase classname="h5py.tests.test_dataset.TestCreateScaleOffset" name="test_float_fails_without_options" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateScaleOffset" name="test_int" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateScaleOffset" name="test_int_with_minbits" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateScaleOffset" name="test_int_with_minbits_lossy" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateScaleOffset" name="test_non_integer" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestCreateScaleOffset" name="test_unsupport_dtype" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestExternal" name="test_contents" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestExternal" name="test_contents_efile_prefix" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestExternal" name="test_create_expandable" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestExternal" name="test_invalid" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestExternal" name="test_iter_multi" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestExternal" name="test_name_path" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestExternal" name="test_name_str" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestAutoCreate" name="test_string_fixed" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestAutoCreate" name="test_vlen_bytes" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestAutoCreate" name="test_vlen_unicode" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateLike" name="test_maxshape" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateLike" name="test_no_chunks" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCreateLike" name="test_track_times" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestChunkIterator" name="test_1d" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestChunkIterator" name="test_2d" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestChunkIterator" name="test_2d_partial_slice" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestChunkIterator" name="test_no_chunks" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestResize" name="test_axis_exc" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestResize" name="test_create" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestResize" name="test_create_1D" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestResize" name="test_resize" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestResize" name="test_resize_1D" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestResize" name="test_resize_axis" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestResize" name="test_resize_nonchunked" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestResize" name="test_resize_over" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestResize" name="test_zero_dim" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestDtype" name="test_dtype" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestDtype" name="test_dtype_complex32" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestLen" name="test_len" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestLen" name="test_len_big" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestIter" name="test_iter" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestIter" name="test_iter_scalar" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_asstr" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_asstr_fixed" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_fixed_ascii" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_fixed_bytes_fillvalue" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_fixed_unicode" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_fixed_utf8" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_fixed_utf_8_fillvalue" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_retrieve_vlen_unicode" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_roundtrip_fixed_bytes" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_roundtrip_vlen_bytes" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_unicode_write_bytes" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_unicode_write_error" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_vlen_bytes" time="0.000" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_vlen_bytes_fillvalue" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_vlen_bytes_write_ascii_str" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_vlen_unicode" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestStrings" name="test_vlen_unicode_fillvalue" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCompound" name="test_assign" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCompound" name="test_fields" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCompound" name="test_nested_compound_vlen" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCompound" name="test_rt" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestSubarray" name="test_write_array" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestSubarray" name="test_write_list" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestEnum" name="test_create" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestEnum" name="test_readwrite" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestFloats" name="test_mini" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestFloats" name="test_mini_mapping" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestTrackTimes" name="test_disable_track_times" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestTrackTimes" name="test_invalid_track_times" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestZeroShape" name="test_array_conversion" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestZeroShape" name="test_reading" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestRegionRefs" name="test_create_ref" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestRegionRefs" name="test_empty_region" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestRegionRefs" name="test_ref_shape" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestRegionRefs" name="test_scalar_dataset" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestAstype" name="test_astype_wrapper" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestAstype" name="test_astype_wrapper_asarray" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestAstype" name="test_astype_wrapper_len" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestScalarCompound" name="test_scalar_compound" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestVlen" name="test_asstr_array_dtype" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestVlen" name="test_convert" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestVlen" name="test_int" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestVlen" name="test_multidim" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestVlen" name="test_non_contiguous_arrays" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestVlen" name="test_numpy_float16" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestVlen" name="test_numpy_float32" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestVlen" name="test_numpy_float64_2" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestVlen" name="test_numpy_float64_from_dtype" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestVlen" name="test_reuse_from_other" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestVlen" name="test_reuse_struct_from_other" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestLowOpen" name="test_dapl" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestLowOpen" name="test_get_access_list" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_get_chunk_details" time="0.003" /><testcase classname="h5py.tests.test_dataset" name="test_chunk_iter" time="0.002" /><testcase classname="h5py.tests.test_dataset" name="test_empty_shape" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_zero_storage_size" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_python_int_uint64" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_setitem_fancy_indexing" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_vlen_spacepad" time="0.000" /><testcase classname="h5py.tests.test_dataset" name="test_vlen_nullterm" time="0.000" /><testcase classname="h5py.tests.test_dataset" name="test_allow_unknown_filter" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_dset_chunk_cache" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCommutative" name="test_basetype_commutative" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestCommutative" name="test_numpy_commutative" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestVirtualPrefix" name="test_virtual_prefix_create" time="0.001" /><testcase classname="h5py.tests.test_dataset.TestVirtualPrefix" name="test_virtual_prefix_require" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_copy[ds-True]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_copy[ds-None]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_copy[astype-True]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_copy[astype-None]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_copy[asstr-True]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_copy[asstr-None]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_copy[fields-True]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_copy[fields-None]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_copy_false[ds]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_copy_false[astype]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_copy_false[asstr]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_copy_false[fields]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_dtype[ds]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_dtype[astype]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_dtype[asstr]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_dtype[fields]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_scalar[ds]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_scalar[astype]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_scalar[asstr]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_scalar[fields]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_nd[ds]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_nd[astype]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_nd[asstr]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_array_nd[fields]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_view_properties[ds]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_view_properties[astype]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_view_properties[asstr]" time="0.001" /><testcase classname="h5py.tests.test_dataset" name="test_view_properties[fields]" time="0.001" /></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 h5py/h5py.
[ 33.7s] 💭 (1212 chars) "The user is reporting a `ZeroDivisionError` when calling `dataset.read_direct()` on a
dataset that has 0 in its shape.
..."
[ 33.7s] 🔧 run_command (27 lines) python3 - <<'PY'
[ 33.8s] → error (exit 0):
[ 46.5s] 💭 (240 chars) "Ah, I'm trying to import `h5py` while being in `/workspace`, and the codebase is also in
`/workspace/h5py`. The `h5py/__..."
[ 46.5s] 🔧 run_command (29 lines) cd /tmp && python3 - <<'PY'
[ 46.6s] → error (exit 0):
[ 64.5s] 💭 (658 chars) "It seems `sys.path.append('/workspace')` is still causing the same issue because it's
picking up `/workspace/h5py`.
Act..."
[ 64.5s] 🔧 run_command (27 lines) cd /tmp && python3 - <<'PY'
[ 64.5s] → error (exit 0):
[ 75.8s] 💭 (554 chars) "Wait, why is it importing from `/h5py/h5py/__init__.py`?
Regardless of how h5py is installed, I need to fix the code in..."
[ 75.8s] 📖 read_file (h5py/_hl/selections.py)
[ 75.8s] ✓ {'status': 'ok', 'filepath': 'h5py/_hl/selections.py', 'content': ' """\n if self.shape ==
():\n …
[ 81.0s] 💭 (241 chars) "The line is indeed:
`chunks = tuple(x//y for x, y in zip(count, tshape))`
If any element of `tshape` is 0, we get a `Ze..."
[ 81.0s] 📖 read_file (h5py/_hl/selections.py)
[ 81.0s] ✓ {'status': 'ok', 'filepath': 'h5py/_hl/selections.py', 'content': '
self._perform_selection(points, h5s.SELECT_AP…
[ 186.4s] 💭 (4478 chars) "In `SimpleSelection.broadcast`, we have:
```python
rank = len(count)
tshape = self.expand_shape(source_..."
[ 186.4s] 📖 read_file (h5py/_hl/selections.py)
[ 186.4s] ✓ {'status': 'ok', 'filepath': 'h5py/_hl/selections.py', 'content': '# This file is part of h5py, a Python
interface to th…
[ 210.1s] 💭 (1370 chars) "`product` is imported from `.base`.
Let's verify if there are any other places where `x // y` might occur and cause iss..."
[ 210.1s] 📖 read_file (h5py/_hl/dataset.py)
[ 210.1s] ✓ {'status': 'ok', 'filepath': 'h5py/_hl/dataset.py', 'content': ' """Shape up to which this
dataset can be resized…
[ 216.7s] 💭 (290 chars) "The `read_direct` method was at line 654 in the traceback, but in this `read_file` output
it's not visible. I must have ..."
[ 216.7s] 🔧 run_command grep -n "def read_direct" h5py/_hl/dataset.py
[ 216.8s] → 1045: def read_direct(self, dest, source_sel=None, dest_sel=None):
[ 222.9s] 💭 (39 chars) "Okay, it's at line 1045. Let's read it."
[ 222.9s] 📖 read_file (h5py/_hl/dataset.py)
[ 223.0s] ✓ {'status': 'ok', 'filepath': 'h5py/_hl/dataset.py', 'content': ' def read_direct(self, dest,
source_sel=None, dest_se…
[ 231.8s] 💭 (487 chars) "The `read_direct` method:
```python
def read_direct(self, dest, source_sel=None, dest_sel=None):
# ...
..."
[ 231.8s] 📖 read_file (h5py/_hl/dataset.py)
[ 231.8s] ✓ {'status': 'ok', 'filepath': 'h5py/_hl/dataset.py', 'content': ' return arr[0]\n\n
@cached_property\n @with…
[ 234.0s] 💭 (48 chars) "I missed `_is_empty` again. Let's search for it."
[ 234.0s] 🔧 run_command grep -n "def _is_empty" h5py/_hl/dataset.py
[ 234.1s] → 664: def _is_empty(self):
[ 236.2s] 💭 (9 chars) "Line 664."
[ 236.2s] 📖 read_file (h5py/_hl/dataset.py)
[ 236.3s] ✓ {'status': 'ok', 'filepath': 'h5py/_hl/dataset.py', 'content': ' def _is_empty(self):\n
"""Check if extent typ…
[ 268.1s] 💭 (1355 chars) "`_is_empty` checks if `_extent_type == h5s.NULL`.
`h5s.NULL` is fordatasets that don't have a shape (yet).
But a dataset..."
[ 268.1s] 📖 read_file (h5py/__init__.py)
[ 268.1s] ✓ {'status': 'ok', 'filepath': 'h5py/__init__.py', 'content': '# This file is part of h5py, a Python
interface to the HDF5…
[ 343.8s] 💭 (777 chars) "```python
try:
from . import _errors
except ImportError:
import os.path as _op
if _op.exists(_op.join(_op.di..."
[ 343.8s] 🔧 run_command python3 -c "import h5py; print(h5py.__version__)"
[ 343.9s] → error (exit 0):
[ 371.7s] 💭 (1168 chars) "It seems `h5py` is NOT installed in the site-packages, but the current directory
`/workspace` is in `sys.path` by defaul..."
[ 371.7s] 🔧 run_command pytest tests/test_dataset.py -q --tb=short
[ 372.2s] → error (exit 0):
[ 376.8s] 💭 (133 chars) "I forgot to look at the workspace layout. Actually, the layout was provided in the prompt
but I didn't see it. Let me li..."
[ 376.8s] 🔧 run_command ls -R | grep "test_dataset"
[ 376.9s] → test_dataset.py
[ 381.0s] 💭 (120 chars) "Ah, they are in the root directory, not in `tests/`. Wait, no, `ls -R` says they are there.
Let me check where they are."
[ 381.0s] 🔧 run_command find . -name "test_dataset.py"
[ 381.1s] → ./h5py/tests/test_dataset.py
[ 386.2s] 💭 (59 chars) "Okay, they are in `h5py/tests/test_dataset.py`.
Let's try:"
[ 386.2s] 🔧 run_command pytest h5py/tests/test_dataset.py -q --tb=short
[ 386.3s] → error (exit 0):
[ 402.8s] 💭 (812 chars) "This is frustrating. The environment seems to be set up in a way that prevents importing
`h5py` when `setup.py` is prese..."
[ 402.8s] 🔧 run_command cd /tmp && python3 -c "import h5py; print(h5py.__file__)"
[ 402.8s] → error (exit 0):
[ 410.4s] 💭 (230 chars) "Wait, `__file__` is `/h5py/h5py/__init__.py`? No, it failed before printing it. But the
traceback says `/h5py/h5py/__ini..."
[ 410.4s] 🔧 run_command ls -d /h5py
[ 410.5s] → /h5py
[ 420.2s] 💭 (435 chars) "I see `/h5py` in the root. Maybe the environment is set up such that `/h5py` is the
installation directory and `/workspa..."
[ 420.2s] 🔧 run_command ls -F /h5py
[ 420.3s] → /h5py@
[ 423.2s] 💭 (36 chars) "`/h5py@` means it's a symbolic link."
[ 423.2s] 🔧 run_command ls -l /h5py
[ 423.3s] → lrwxrwxrwx 1 root root 10 Nov 14 03:16 /h5py -> /workspace
[ 436.0s] 💭 (535 chars) "Aha! `/h5py` is a symlink to `/workspace`. So when I import `h5py`, it's finding
`/h5py/h5py` which is just `/workspace/..."
[ 436.0s] 🔧 run_command mv setup.py setup.py.bak && python3 -c "import h5py; print('success')" && mv set
[ 436.1s] → error (exit 0):
Native result row
{
"agent_error": "Agent exceeded session timeout (7.5 min)",
"duration_seconds": 459.48,
"error": "Test failures/errors recorded in JUnit XML (failures=1, errors=0)",
"grade": {
"collected_tests": 226,
"competition_junit_ok": false,
"error": "Test failures/errors recorded in JUnit XML (failures=1, errors=0)",
"required_issues_count": 1,
"resolved": false,
"status_counts": {
"FAILED": 1,
"PASSED": 225
},
"strict_clean_patch": true,
"test_exit_code": 1
},
"instance_id": "h5py__h5py-2577",
"pass_idx": 0,
"patch_chars": 103,
"phase1_seconds": 457.88,
"repo": "h5py/h5py",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/h5py__h5py-2577__p0__r6.jsonl",
"resolved": false,
"rollout_idx": 6,
"run_key": "h5py__h5py-2577__p0__r6",
"strict_clean_patch": true,
"tool_calls": 23,
"total_llm_calls": 23,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_h5py__h5py-2577__p0__r6.json"
}