[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Implement discoverability for [conf] items Some usages of the new `[conf]` construct are starting to be instrumented throughout the codebase. Currently, it's primarily in generators and other experimental places. While it's still early for `conf`, I think we should consider providing a good experience for users to print out all available `conf` items , current values, etc. Also, I think we should do something different from `conan config get`, which prints the config file and doesn't reflect environment variables, and doesn't show a comprehensive list of settings which can be set. Instead, I suggest doing something similar to `argparse`, where every possible `conf` item within the codebase is declared very early on in the main setup. Such a strategy presents some significant challenges. For example, the actual values of the variables are reconciled as "instances" per-package during various different times. Still, perhaps it's possible. Another strategy might be annotations. While I don't know all the options for implementing, I still want to suggest the feature be considered and looked into. We keep adding new `[conf]` items in each new release of Conan. I feel that as users get used to adding `conf` items to profiles, it will become increasingly annoying for users to figure out what all the possible `conf` items are. They'll have to check their Conan version, then go to the specific version of the docs, and then search the docs to find out what `conf` items are available. Exposing them at the CLI for discovery similar to `conan --help` and `conan install --help` seems a much better pattern if it can be implemented. - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Feature Request: Deal with upgrades better Hi Jussi, I just upgraded from .27-research to .28-research and got an error message - which I expected. Is there a flag or target that could be added to force this upgrade to happen? And by upgrade, I mean delete the old stuff and regenerate. It's awkward to tell people to `rm -rf build; mkdir build; <cc flags> meson build` when I upgrade meson on the systems and their build breaks. I'm trying to replace our crusty make based build and this, IMO, is a wart. (meson is still awesome, though!) ``` [1/1] Regenerating build files Traceback (most recent call last): File "/opt/meson/share/meson/meson.py", line 211, in run app.generate() File "/opt/meson/share/meson/meson.py", line 126, in generate env = environment.Environment(self.source_dir, self.build_dir, self.meson_script_file, self.options) File "/opt/meson/share/meson/environment.py", line 69, in __init__ self.coredata = coredata.load(cdf) File "/opt/meson/share/meson/coredata.py", line 199, in load (obj.version, version)) RuntimeError: Build tree has been generated with Meson version 0.27.0-research, which is incompatible with current version 0.28.0-research. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Owlvit's Image Guided Detection Broken ### System Info Colab env. for better reproducibility (transformers==4.32.0.dev0) I ran the example for several times but it still give wrong results. https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/zeroshot_object_detection_with_owlvit.ipynb Dear @amyeroberts , @ArthurZucker ### Who can help? _No response_ ### Information - [X] The official example scripts - [ ] My own modified scripts ### Tasks - [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction Reproduction is easy, 1) Just run the following Colab Notebook to the bottom (https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/zeroshot_object_detection_with_owlvit.ipynb) The last cell of the notebook, it is now showing one bounding box ```python results = processor.post_process_image_guided_detection(outputs=outputs, threshold=0.6, nms_threshold=0.3, target_sizes=target_sizes) boxes, scores = results[0]["boxes"], results[0]["scores"] print(scores) ``` The above code shows weird output, tensor([1.0000]) 2) Interestingly, if I change the query image to something irrelevant, like ```python skimg = skimage.data.astronaut() query_image = Image.fromarray(np.uint8(skimg)).convert("RGB") # ... omiited lines print(scores) ``` The above shows tensor([1.0000]) as well with a giant bbox. ### Expected behavior The last cell of the notebook, it should show two bounding boxes for each cat in the image. (finding two cat bboxes according to the query image) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Determine desired/expected return value(s) of storage.bucket.Bucket.delete_keys From TODO: ``` python # TODO: What should be the return value here? ``` See [`storage.bucket.Bucket.delete_keys`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/bucket.py#L192) for relevant code and #146 for some context. `git blame` output ``` b7f1b774 (JJ Geewax 2014-01-29 18:02:29 -0500 192) # TODO: What should be the return value here? ``` Determine desired/expected return value(s) of storage.bucket.Bucket.delete_keys From TODO: ``` python # TODO: What should be the return value here? ``` See [`storage.bucket.Bucket.delete_keys`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/bucket.py#L192) for relevant code and #146 for some context. `git blame` output ``` b7f1b774 (JJ Geewax 2014-01-29 18:02:29 -0500 192) # TODO: What should be the return value here? ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: GPTNeoXAttention does not deal with odd numbers of attention heads ### System Info transformers 4.29, HEAD Linux (not relevant, reproducible on e.g. Mac OS) python 3.10.11 (not relevant, reproducible on e.g. python 3.9.13) ### Who can help? @ArthurZucker @younesbelkada ### Information - [X] The official example scripts - [ ] My own modified scripts ### Tasks - [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction When the hidden size is not evenly divisible by the number of attention heads, GPTNeoXAttention throws an exception while trying to reshape its state. Here is a minimal example to reproduce: ``` from transformers import pipeline p=pipeline(model="Isotonic/gpt_neox_225M",task="text-generation") p("I like to eat ") ``` The exception is the following: ``` /home/jps/anaconda3/envs/transformers/lib/python3.10/site-packages/transformers/models/gpt_neox/modeling_gpt_neox.py:133 in forward â RuntimeError: shape '[1, 5, 12, 255]' is invalid for input of size 15360 ``` ### Expected behavior What happens here is that the model has 12 attention heads and a hidden size of 1024. Thus, head_size is calculated as 1024 // 12 == 85. Then, 3 * head-size is not 256 but 255, giving the issue here. I am not quite sure how this is supposed to work. In https://github.com/EleutherAI/gpt-neox, the code checks that the hidden size is evenly divisible by the number of heads. This would not enable the use of this model, but it might give a better error message. Is there any chance to run such a model? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Refactor the `Optimizer` interface <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? Mimic the common structure of minimization routines (like SciPy or scikit-quant) and change the "main" method of `Optimizer.optimize` to ```python minimize(f, x0=None, jac=None, hess=None, callback=None) ``` This also makes clear that our optimizers _minimize_ something instead of just saying they _optimize_. Since we don't use the same function name as before we can gracefully deprecate the old "main" method. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Support Pydantic V2 and/or peg it to V1 for now ### What's the use case? Pydantic is beta testing a V2 version, which replaces the core of the library with Rust and overhauls the API. I'd like to use it as a dependency in a pre-release project to validate my own data, however, Dagster now bundles Pydantic V1 and hasn't yet capped the version. This is what I get when I try to upgrade: ``` Traceback (most recent call last): File "/Users/admin/Desktop/hello-dagster/venv/bin/dagster", line 5, in <module> from dagster.cli import main File "/Users/admin/Desktop/hello-dagster/venv/lib/python3.10/site-packages/dagster/__init__.py", line 100, in <module> from dagster._config.pythonic_config import ( File "/Users/admin/Desktop/hello-dagster/venv/lib/python3.10/site-packages/dagster/_config/pythonic_config/__init__.py", line 22, in <module> from pydantic import ConstrainedFloat, ConstrainedInt, ConstrainedStr File "/Users/admin/Desktop/hello-dagster/venv/lib/python3.10/site-packages/pydantic/_migration.py", line 279, in wrapper raise PydanticImportError(f'`{import_path}` has been removed in V2.') pydantic.errors.PydanticImportError: `pydantic:ConstrainedFloat` has been removed in V2. For further information visit https://errors.pydantic.dev/2.0b2/u/import-error ``` ### Ideas of implementation I think as a pre-release this won't cause problems for anyone except people like me who want to use the new version, but a) Dagster should probably change requirements.text to reflect `pydantic<2` and b) maybe support it when it's no longer a pre-release. The V2 does include some V1 shims, so it shouldn't be too bad, but some parts of the API did change in breaking ways. ### Additional information _No response_ ### Message from the maintainers Impacted by this issue? Give it a 👍! We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Remove duplicate line of code for configuration copy This is code improvement PR to remove a duplicate line. The code copies config in either cases of IF statement hence duplicate call. Moving that before IF makes it unique and sufficient for the purpose. I have moved first call above IF and removed ELSE block --- **^ Add meaningful description above** Read the **[Pull Request Guidelines](https://github.com/apache/airflow/blob/main/CONTRIBUTING.rst#pull-request-guidelines)** for more information. In case of fundamental code change, Airflow Improvement Proposal ([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvements+Proposals)) is needed. In case of a new dependency, check compliance with the [ASF 3rd Party License Policy](https://www.apache.org/legal/resolved.html#category-x). In case of backwards incompatible changes please leave a note in [UPDATING.md](https://github.com/apache/airflow/blob/main/UPDATING.md). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Update Docker Compose installation for Toolbox Should mention users on Mac should install Compose with Toolbox. Fig port with index not working with fig scale Running `fig scale api=2` creates the following with output from `fig ps`: ``` Name Command State Ports --------------------------------------------------------------------------------------------- testcom_api_1 pm2 start /app/app.js --wa ... Up 0.0.0.0:49153->80/tcp testcom_api_2 pm2 start /app/app.js --wa ... Up 0.0.0.0:49154->80/tcp ``` Running `fig port api 80` only returns the first container when we expected it to return both, is this intended? Trying to use the `fig port --index=1 api 80` or `fig port --index=2 api 80` returns "No container found for api_1" and "No container found for api_2" respectively Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Support `dist` In #823 there is some work to make meson executable like one file. After all it would be nice to have target which will bundle current meson to the zip app, run all generators and make archive with all that stuff. In the beginning I was thinking that it's completely useless, but advantages are (for some cases): - No need to have meson installed (and have it with some updated version), only python - No need to have generators installed (like swig, cython), it will be prepared during dist This will require some work, but will be nice to have. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: How to resolve DeprecationWarning Version: 0.7.3 My trainer ``` trainer = pl.Trainer( max_epochs=19 ) ``` Warnings: ``` pytorch_lightning/utilities/warnings.py:18: DeprecationWarning: Argument `show_progress_bar` is now set by `progress_bar_refresh_rate` since v0.7.2 and this method will be removed in v0.9.0 ``` ``` DeprecationWarning: Epochs indexing of `scheduling` starts from "1" until v0.6.x, but will start from "0" in v0.8.0. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: dependency not_found_message prints multiple times ``` Run-time dependency gpgme found: NO (tried pkgconfig and config-tool) Message: gpgme >=1.3.0 is needed for GPG signature support Message: gpgme >=1.3.0 is needed for GPG signature support ``` I can get it to print only once, if I add `methods:` to the dependency() call, it seems to be printing once per method it tries. Even if it doesn't try them due to being disabled, in this case it ignores `methods:`: ``` Dependency gpgme skipped: feature gpgme disabled Message: gpgme >=1.3.0 is needed for GPG signature support Message: gpgme >=1.3.0 is needed for GPG signature support ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: conan install unexpectedly reports invalid version range i have this requirement in my `conanfile.py`: `foo/[>16.5.0 <17.0.0]@bar/stable` `conan install` aborts with this error: `ERROR: version range expression '>16.5.0<17.0.0' is not valid` note: using the deprecated comma-based syntax works fine * Python 3.6 on CentOS 7.5 * Conan 1.11.2 * node-semver 0.6.1 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Plotting of instruction schedule from mock backend fails <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: '0.17.0.dev0+6f0eca6' - **Python version**: 3.8.6 - **Operating system**: Windows 10 The output of `qiskit.version.QiskitVersion()` is ``` {'qiskit-terra': '0.17.0.dev0+6f0eca6', 'qiskit-aer': '0.7.3', 'qiskit-ignis': '0.5.1', 'qiskit-ibmq-provider': '0.11.1', 'qiskit-aqua': '0.8.1', 'qiskit': '0.23.4'} ``` ### What is the current behavior? When importing the `FakeAthens`, gettting the schedule for the `u3` instruction and plotting an exception is generated. Depending on this qiskit version I get different error messages. The version reported above yields: ``` ... File "c:\projects\qiskit-terra\qiskit\visualization\pulse_v2\generators\frame.py", line 318, in gen_frame_symbol program.append('{}({})'.format(inst.__class__.__name__, inst.phase.name)) AttributeError: 'ParameterExpression' object has no attribute 'name' ``` ### Steps to reproduce the problem A minimal example is: ``` from qiskit.test.mock import FakeAthens backend = FakeAthens() defaults = backend.defaults() inst_map = defaults.instruction_schedule_map schedule=inst_map.get('u3', [0]) schedule.draw() ``` print(qiskit.version.QiskitVersion()) ### What is the expected behavior? The schedule should be plotted ### Suggested solutions None Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: note new dependencies in docs / setup.py nbconvert introduces a bunch of new optional dependencies. - ~~markdown~~ - pandoc - sphinx - pygments (already needed for qtconsole, but should be on the nbconvert list as well) And make sure everything else is up to date as well. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: _matches_coupling_map seems to check single qubit ops too and fails <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations - **Qiskit Terra version**: 0.6.0 - **Python version**: 3.6 - **Operating system**: macos ### What is the current behavior? Using _matches_coupling_map breaks and returns false at first single qubit op as single qubits are not in the coupling map ### Steps to reproduce the problem Run the function on a dag ### What is the expected behavior? Ignore single qubits ops ### Suggested solutions Check no of qubits. Have fixed and pull request ready to go if ok. 👍 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Bug - MSBuild helper should not force compiler flags such as `/o` It seems that the `.props` file used to inject a few things implicitly into the build sometimes results in conflicts as seen here: ``` 2>cl : Command line warning D9025: overriding '/O2' with '/Od' [path_to_my_project.vcxproj] 2>cl : Command line warning D9025: overriding '/Od' with '/O2' [path_to_my_project.vcxproj] <..... above pair of message seen dozens of times.> 2>cl : Command line error D8016: '/RTC1' and '/O2' command-line options are incompatible ``` This can happen in very common circumstances, including any projects that have "Runtime checks" enabled, which I believe is the default for DLL projects. Eventually, would be good to validate whatever flags are being injected. - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the celery/celery codebase. Here's the problem: Redis connection timeouts are not coerced correctly Found using celery 4.1.0. ## Steps to reproduce Configure with redis as a backend with timeouts set in the url: ``` result_backend = 'redis://127.0.0.1:6379?socket_timeout=30&socket_connect_timeout=5' ``` ## Expected behavior Timeouts are applied and celery works normally. ## Actual behavior Errors are raised by the socket library that the timeout needs to be a float. Pull request incoming. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: TestF77Callback::test_all[t] fails: fatal error: threads.h: No such file or directory <!-- Please describe the issue in detail here, and fill in the fields below --> ### Reproducing code example: <!-- A short code example that reproduces the problem/missing feature. It should be self-contained, i.e., possible to run as-is via 'python myproblem.py' --> ``` pytest -sv numpy/f2py/tests/test_callback.py -k 'test_all[t]' -r s -x ``` ### Error message: <!-- If you are reporting a segfault please include a GDB traceback, which you can generate by following https://github.com/numpy/numpy/blob/master/doc/source/dev/development_environment.rst#debugging --> <!-- Full error message, if any (starting from line Traceback: ...) --> ``` E /tmp/tmphz3v9phb/src.linux-x86_64-3.9/_test_ext_module_5403module.c:75:10: fatal error: threads.h: No such file or directory E 75 | #include <threads.h> E | ^~~~~~~~~~~ E compilation terminated. ``` ### NumPy/Python version information: <!-- Output from 'import sys, numpy; print(numpy.__version__, sys.version)' --> ``` >>> import sys, numpy; print(numpy.__version__, sys.version) 1.21.0.dev0+438.gbf4ac1f81 3.9.1 | packaged by conda-forge | (default, Jan 10 2021, 02:55:42) [GCC 9.3.0] ``` ### Additional information ``` $ ldd --version ldd (Ubuntu GLIBC 2.27-3ubuntu1.2) 2.27 Copyright (C) 2018 Free Software Foundation, Inc. ``` C11 threads.h appears to be supported starting from glibc 2.28, see [here](https://sourceware.org/bugzilla/show_bug.cgi?id=14092#c10). Undefining CPP macro F2PY_THREAD_LOCAL_DECL makes the test pass. A solution is not to define F2PY_THREAD_LOCAL_DECL for glibc version < 2.28 in numpy/f2py/cfuncs.py . Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Unknown CPU family ft32 I'm currently compiling a project for an embedded device usint a bridgetek FT902 (FT32 architecture in GCC), as I expected this is not a supported target on meson, I'm not sure what this target variable implies, but compiling with the unsupported ``` cpu_family = 'ft32' cpu = 'ft900' ``` doesnt seem to produce any issues for me. If there is something I can do about this let me know I'm open to contribute. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: [Feature Request] Add 3D attention mask for T5Model ## Environment info - `transformers` version: 4.2.1 - Platform: Linux - Python version: 3.6.9 - PyTorch version (GPU?): 1.7.0+cuda11.0 ### Who can help T5: @patrickvonplaten ## Information The `get_extended_attention_mask()` does not sufficiently address the case with 3D attention mask. The problem emerges for T5Model as `input_ids` and `decoder_input_ids` are of different length and the `attention_mask` is of shape [Batch_size, Seq_length, Seq_length]. The decoder uses `attention_mask` directly for `encoder_attention_mask` in cross-attention, which is of incorrect shape and the error message does give any information about why it happens. ## To reproduce As described above. I can add code later if needed. ## Expected behavior I propose to add a sanity check for attention masks or improve the `get_extended_attention_mask()` method. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Matplotlib circuit drawer is unconditionally using latex mode for gate names <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: Master - **Python version**: Any - **Operating system**: Any ### What is the current behavior? The matplotlib circuit drawer is unconditionally using latex mode for all gate names. This is a change in behavior from previous releases and can lead to weird results. For example, having a gate named `my_gate^22` will result in this being drawn: ![latex_mode](https://user-images.githubusercontent.com/2447371/86925246-9a3aea80-c0fe-11ea-8650-b4e830495d4d.png) but the string should `my_gate^22` like: ![latex_mode](https://user-images.githubusercontent.com/2447371/86926234-d1f66200-c0ff-11ea-9fee-f11a187c04cf.png) but obviously without the rendering bug (I used an older qiskit version to show the previous behavior which had other bugs) ### Steps to reproduce the problem Run: ``` from qiskit.circuit import QuantumCircuit from qiskit.circuit import Instruction qc = QuantumCircuit(2) qc.append(Instruction('my_gate^22', 1, 0, []), [0], []) qc.draw('mpl', filename='/tmp/latex_mode.png') ``` ### What is the expected behavior? The gate title text is not in latex mode by default anymore, the documented behavior is to use `$` around the latex portions of the string. ### Suggested solutions Fix the default change. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: install_headers(preserve_path) ```meson # proj/kola.h -> /usr/include/myproj/kola.h install_headers('proj/kola.h', subdir : 'myproj') # proj/kola.h -> /usr/include/myproj/proj/kola.h install_headers('proj/kola.h', subdir : 'myproj', preserve_path : true) ``` ```meson # you can write install_headers( 'foo/bar.h', 'baz/bob.h', subdir : 'proj', preserve_path : true, ) # instead of install_headers('foo/bar.h', subdir : 'proj/foo') install_headers('baz/bob.h', subdir : 'proj/baz') ``` One possible alternative to consider is `preserve_path_from : directory`, but it introduces invalid uses of API and by calling `install_headers` from subdirectory the same behavior can be achieved with proposal above, so I don't think it's worth implementing. @textshell also mentioned: My usecase was a list of headers to install. Where the headers might not be all in one directory. Allowing that usecase is esp. important for an IDE integration that can modify file lists, but is not smart enough to actually write and auto maintain more general elements in a meson.build file. And i belive editing file lists should be the primary write interaction of an IDE with the meson.build files. Because meson files are really not easy to auto maintain because they allow all kinds of different styles and usages. Also i think IDEs automatically editing target definitions to add files is not what most projects expect. I think most somewhat bigger projects have lists of files instead of a list in the target definition call. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the celery/celery codebase. Here's the problem: celery multi ignores FQNs and subscribes to incorrect queue. The following does not work: `celery multi start celery1@turing.lan celery2@turing.lan -A tserver.app -Q:1 celery,hq1 -Q:2 celery,high,hq1 -c 4 -l info` Output: ``` celery multi v3.1.23 (Cipater) > Starting nodes... > celery1@turing.lan: OK > celery2@turing.lan: OK ``` In this case both workers subscribe only to the `celery` queue. However, the following works: `celery multi start 2 -A tserver.app -Q:1 celery,hq1 -Q:2 celery,high,hq1 -c 4 -l info` In this case, both workers subscribe to correct queues. Output: ``` celery multi v3.1.23 (Cipater) > Starting nodes... > celery1@turing.lan: OK > celery2@turing.lan: OK ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: BeitForMaskedImageModeling forward not using bool_masked_pos ### Who can help @NielsRogge ## Information I am reading the code of BEIT, trying to use the `BeitForMaskedImageModeling`, while I found the `bool_masked_pos` is defined but not used in `BeitForMaskedImageModeling`'s forward. In my understanding, `bool_masked_pos` is used to mask out the input image tokens, thus should be passed to the `self.beit` forward here. https://github.com/huggingface/transformers/blob/5c6eca71a983bae2589eed01e5c04fcf88ba5690/src/transformers/models/beit/modeling_beit.py#L723 Furthermore, the documentation of the `BeitForMaskedImageModeling`'s `forward` lack the description of the `bool_masked_pos`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: gcloud.datastore.key.Key.from_path is undocumented, untested I'm not sure what its contract is, either: ``` >>> from gcloud.datastore.key import Key >>> Key.from_path().path() [{'kind': ''}] >>> Key.from_path('abc').path() [{'kind': ''}] >>> Key.from_path('abc', 'def').path() [{'kind': 'abc', 'name': 'def'}] >>> Key.from_path('abc', 'def', 'ghi').path() [{'kind': 'abc', 'name': 'def'}] >>> Key.from_path('abc', 'def', 'ghi', 123).path() [{'kind': 'abc', 'name': 'def'}, {'kind': 'ghi', 'id': 123}] ``` Dropping the odd last element doesn't seem correct. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Results gathering with varying tensor shapes (e.g. last batch) <!-- ### Common bugs: 1. Tensorboard not showing in Jupyter-notebook see [issue 79](https://github.com/PyTorchLightning/pytorch-lightning/issues/79). 2. PyTorch 1.1.0 vs 1.2.0 support [see FAQ](https://github.com/PyTorchLightning/pytorch-lightning#faq) --> ## 🐛 Bug Results object reduction when batch sizes are different won't work because torch.stack get's different input shapes. This can happen if your dataloader returns a smaller batch for the last iteration, for example. ```python def recursive_stack(result: MutableMapping): for k, v in result.items(): if isinstance(v, dict): recursive_stack(v) if isinstance(v, list) and len(v) > 0 and isinstance(v[0], torch.Tensor): v = torch.stack(v) result[k] = v ``` Context From slack discussion by @artgor https://pytorch-lightning.slack.com/archives/CRBLFHY79/p1597604494424600 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Provide a converter that outputs the old schema, for the transition ### What is the expected enhancement? Currently, IBM-Q backends consume a proprietary version of `Qobj`. Make it compatible with the proper `Qobj` implementation by providing a translator in a separated component. Remove when the backends fully support the `Qobj` format. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the google/jax codebase. Here's the problem: xla in pmap fails (i.e. jit-of-pmap or lax.scan with collectives) The parallel xla interpreter currently doesn't properly support nested jit compilation. A practical example of this issue is when trying to use psum from within scan: ``` pmap( partial(lax.scan, lambda c, x: (c + lax.psum(x, "i") , c), 0.), axis_name="i" )(np.ones((8, 4))) ``` Scan need to compiles the body of the loop using xla which fails because psum is only defined in the context of the pxla interpreter. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Respecting topological sorting for environment removal Not sure if this is implemented in newer versions of `conda`, but it would be nice if environment removal performed a topological sort and uninstalled packages based on this sorting. Namely only removing packages that are not required for anything else first. For the most part this doesn't matter, but when `pre-unlink` scripts are involved it does. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] conan profile update not working for env section When trying to update a value for an existing key in a profile's `env` section, the command returns without an error but the key still has its old value. Updating values for existing keys in other sections, e.g. `options`, `scopes` and `settings`, works as expected. Example: 1. `conan profile show default` -> `env.foo` does not exist 2. `conan profile update env.foo=bar default` 3. `conan profile show default` -> `env.foo` with value `bar` exists 5. `conan profile update env.foo=baz default` 6. `conan profile show default` -> `env.foo` still has old value `bar` instead of expected value `baz` Conan 1.0.0 (bug persists at least since version 0.28.1) Python 2.7.6 64-bit Linux Mint 17.3 64-bit and Conan 0.30.3 Python 3.6.4 64-bit Windows 10 64-bit Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Document ndindex(shape) This usage of `ndindex`: ``` >>> list(np.ndindex((3,2))) [(0, 0), (0, 1), (1, 0), (1, 1), (2, 0), (2, 1)] ``` seems to work with ``` >>> np.__version__ '1.18.4' ``` but it's not [documented](https://numpy.org/doc/stable/reference/generated/numpy.ndindex.html). Is this usage intended to be allowed? (I'd like it to be, because if `shape == 5` then `np.index(shape)` works while `np.ndindex(*shape)` does not.) If it is, could it be added to the docs? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Consider allowing for conda compression that uses deflate rather than bzip2 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Find a better name for Row.commit_modifications() or fold the behavior into See discussion in #1547 for context. The name `modifications` is intended to map to the RPC method name `ReadModifyWriteRow` but the word modification is a synonym of mutation, so this method is poorly named. The method actually sends changes that - increment an int (stored in BT as 8 bytes) - append bytes to a cell value so we should either - Fold it into `Row.commit()` as `commit(append_only=True)` - Rename it to something like `Row.commit_cell_updates` (or a better name than that) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: IoT: needs 'synth.py' Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Equality of `SparsePauliOp`s with different orders ### What is the expected enhancement? Two `SparsePauliOp`s with different orders are judges as "not equal" as follows. ```python from qiskit.quantum_info import SparsePauliOp a = SparsePauliOp.from_list([('X', 1), ('Y', 2)]) b = SparsePauliOp.from_list([('Y', 2), ('X', 1)]) print(a == b) ``` output ``` False ``` Is it better to return `True` for this comparison or mention the order dependency in the docsting of `__eq__`? @ikkoham also told me another case as follow. A redundant operator (coeff is 0) makes the comparison "not equal". ```python from qiskit.quantum_info import SparsePauliOp a = SparsePauliOp.from_list([('X', 1)]) b = SparsePauliOp.from_list([('X', 1), ('Y', 0)]) print(a == b) ``` ``` False ``` If we need to compare two operator with different order and/or redundant operators, I think we need to call as follows. Is there any simple alternatives? ```python np.allclose((a - b).simplify().coeffs, [0]) ``` ### Update I updated `SparsePauliOp` in #7656 as follows. - Leave `__eq__` as is (elementary-wise comparison) - Add `equiv` for equivalence check Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: OrderedDict output differs in ipython from python (and official documentation) [collections — Container datatypes](https://docs.python.org/3/library/collections.html#collections.OrderedDict) An ordered dictionary can be combined with the Counter class so that the counter remembers the order elements are first encountered: ``` from collections import Counter, OrderedDict class OrderedCounter(Counter, OrderedDict): 'Counter that remembers the order elements are first encountered' def __repr__(self): return '%s(%r)' % (self.__class__.__name__, OrderedDict(self)) def __reduce__(self): return self.__class__, (OrderedDict(self),) ``` This is based off a Raymond Hettinger - Super considered super! - PyCon 2015, and his blog post [Python’s super() considered super!](https://rhettinger.wordpress.com/2011/05/26/super-considered-super/). My confusion is IPython returns a result that differs from the Python it's built on. The ordering of the output is important and the recipe in Hettinger's blog and the official documentation preserves the insertion order but IPython 6.1.0 built on Python 3.6.3 does not. However if I execute directly in Python 3.6.3 I receive the expected desired result. `oc = OrderedCounter('abracadabra')` output in Python 3.6.3 (and Python 2.7.14) `OrderedCounter(OrderedDict([('a', 5), ('b', 2), ('r', 2), ('c', 1), ('d', 1)]))` output in IPython 6.1.0 on Python 3.6.3 Anaconda `OrderedCounter({'a': 5, 'b': 2, 'c': 1, 'd': 1, 'r': 2})` //ordering is not preserved, seems sorted by key Would someone kindly explain why the output is different in IPython 6.1.0 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Trainer track_grad_norm always results in 0 **Describe the bug** The Trainer has a flag `track_grad_norm` which allows us to log the gradient norms to Tensorboard. This flag is checked in the `run_tng_epoch` function after the training step and validation step. However, the training step (`__run_tng_batch`) calls `model.optimizer_step()`, which, in the default implementation, calls `optimizer.zero_grad()`. This results in the tracked gradient norms to be always zero. Moreover, there is an optional `__run_evaluation` call in the validatin_step. This results in a call to `model.zero_grad()`, which I assume will also result in zero gradient norms. **To Reproduce** Steps to reproduce the behavior: 1. Train a model with the `track_grad_norm` flag set to True and Tensorboard logging enabled 2. Go to Tensorboard 3. Check the gradient_norms **Expected behavior** The gradient norms should not always be zero. **Desktop (please complete the following information):** - OS: Windows - Version 0.4.9 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Tool: is_msvc helper Our friend and great contributor SpaceIm is using a new detection which I believe could be part of the mainstream: ```python @property def _is_msvc(self): return str(self.settings.compiler) in ["Visual Studio", "msvc"] ``` This property can be largely re-used, when checking on `validate()` or any other condition. - [ ] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: In datastore.connection.Connection.delete_entities, make return values consistent with one another From TODO: ``` python # TODO: Make this return value be a True/False (or something more useful). ``` See [`datastore.connection.Connection.delete_entities`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/datastore/connection.py#L380) for relevant code and #146 for some context. `git blame` output ``` dec0e7c6 (JJ Geewax 2014-01-28 15:15:40 -0500 380) # TODO: Make this return value be a True/False (or something more useful). ``` In datastore.connection.Connection.delete_entities, make return values consistent with one another From TODO: ``` python # TODO: Make this return value be a True/False (or something more useful). ``` See [`datastore.connection.Connection.delete_entities`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/datastore/connection.py#L380) for relevant code and #146 for some context. `git blame` output ``` dec0e7c6 (JJ Geewax 2014-01-28 15:15:40 -0500 380) # TODO: Make this return value be a True/False (or something more useful). ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Conan config install polutes the installation dir To help us debug your issue please explain: Hi! Since `conan config install` is able to install our hooks (that's great), it also can pollute the installation dirirectory (~/.conan) when more files are versioned together. For example: conan config install https://github.com/conan-io/hooks.git I want to install all official hooks, and this command works fine. However, more files are included there, as README, LICENSE and tests/. I think `config install` could be optimized for hooks, only installing the hooks, or we could add some `--query` argument, where we could filter and install the folder `hooks/` only. Regards! Conan Version: 1.12.3 - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Improve coverage of the documentation Currently, some public classes are not documented anywhere because we didn't create the corresponding doc pages. Those missing pages are: - Benchmark classes - Bert Japanese - Data collators If someone feels like working on one of those, please tag yourself with a comment on this issue. Once the objects are properly documented, they can be removed from the `SHOULD_BE_DOCUMENTED` constant in [this file](https://github.com/huggingface/transformers/blob/1310e1a758edc8e89ec363db76863c771fbeb1de/utils/check_repo.py#L374). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Conan Create (scm) copy source removing folder symlink To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. ``` Conan version 1.14.3 Distributor ID: Ubuntu Description: Ubuntu 16.04.6 LTS Release: 16.04 Codename: xenial ``` Hi there, It appears when running `conan create` locally or remotely, folder symlinks are removed when source is copied to the build folder. This is not true for file symlinks. We are using the `scm` feature. After running `conan create` and going to the build directory: ``` Changes not staged for commit: (use "git add/rm <file>..." to update what will be committed) (use "git checkout -- <file>..." to discard changes in working directory) deleted: Libs/prebuilt/Debug ``` ``` lrwxrwxrwx 1 mh70023 bluetooth 8 Feb 21 14:14 Debug -> Release/ ``` All other file symlinks are working as intended and are not deleted. I have checked my .gitignore as well for errors. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Easy way to recreate current configuration Sometimes the build can get messed up and the best way forward is to just recreate a new build with the same configuration as now. For examples I just upgraded from Fedora 27 to Fedora 28 and build is now broken for my gst-build setup: ``` $ ninja -C build/ ninja: Entering directory `build/' ninja: error: '/usr/lib64/libdl-2.26.so', needed by 'subprojects/gstreamer/gst/libgstreamer-1.0.so.0.1500.0', missing and no known rule to make it ``` In the autotools worlds, you just get the last run configure commandline from `head config.log`. Would be good for meson to provide something very similar. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Docker API v1.23 has broke IPv6 in docker-compose defined networks As @gaertner-mike noticed in #2804, and due to this change in Docker API v1.23 : > POST /networks/create now supports enabling ipv6 on the network by setting the EnableIPv6 field (doing this with a label will no longer work). IPv6 custom networks doesn't work anymore with docker-compose, which uses a label so far to enable IPv6 (`com.docker.network.enable_ipv6: "true"`) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Wrong parameter name in documentation Documentation web page: https://huggingface.co/pytorch-transformers/model_doc/gpt2.html#pytorch_transformers.GPT2DoubleHeadsModel See `Inputs -> multiple_choice_labels`. There is actually no such parameter in `GPT2DoubleHeadsModel.forward` method. It was renamed to `mc_labels`. Also it is presented two times in documentation which seems to be just a copy past error. Please change `multiple_choice_labels` to `mc_labels` and delete second occurrence of this parameter in documentation. Created #1118 to fix documentation. Also you may squash it with fix of #1115 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Run cmake wrapped with scan-build I would like to be able to run cmake wrapped with clang's scan-build to perform a static analysis while building. However the CMake class hard-codes the name of the executable to be 'cmake'. It would be great if it were possible to override this. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Fixes #2942 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: `meson configure` output formatting unreadable In meson version 0.54.0 the output of `meson configure` (in build dir) to the terminal became unreadable due to seemingly broken spacing between columns and description text does not staying in it's column if more than one line is required to display it. Here are a screenshots of how it looks for me currently: ![image](https://user-images.githubusercontent.com/18723421/79107987-50e03680-7d6d-11ea-8420-2df468e1546c.png) ![image](https://user-images.githubusercontent.com/18723421/79108225-cb10bb00-7d6d-11ea-9f9b-33ace7aa1a62.png) I believe that in earlier versions there was no such problem, and the formatting started to change since 0.53, but was still readable until now. So if nothing else, it would be nice if it could be rolled back to pre-0.53 state. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Better error messages when screwing up dep dictionaries e.g.: <img width="1208" alt="Screenshot 2019-04-08 14 32 05" src="https://user-images.githubusercontent.com/28738937/55758283-25649680-5a0b-11e9-83ac-a6184b6ad134.png"> Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] Wrong conan graph build-order in package_revision_mode ### Environment Details * Operating System: Red Hat Enterprise Linux 7.4 * Compiler: GCC 4.8.5 * Conan version: 1.21.0 * Python version: 3.7.1 ### Steps to reproduce Assumptions: - Cache is clean; no binary packages exist so the expectation is a full build on the CI server will be necessary. - libA depends on libC - libB has no dependencies - libC has no dependencies - appX depends on libA and libB Steps: 1. conan export libA ... 2. conan export libB ... 3. conan export libC ... 4. conan export appX ... 5. conan graph lock appX --lockfile appX.lock 6. conan build-order --build missing appX.lock Package libA shows up as Unknown Package libB shows up as Missing Package libC shows up as Missing Package appX shows up as Unknown The problem is that the conan graph build-order output excludes libA since it is "Unknown". I expect that of appX, I suppose, since it's the application whose dependencies I'm trying to determine need building - but not of libA. Thanks Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: bigquery dataset should not always take project argument from client The project in which a dataset resides is not necessarily the project in which jobs involving the dataset will be executed. For example, if querying the bigquery public data hacker news dataset the following will error ``` client = bigquery.Client(project='bigquery-public-data') dataset = client.dataset('hacker_news') client.extract_table_storage(..., dataset.table('comments')) ``` Because the user can't create a job in the project 'bigquery-public-data'. Instead the fairly convoluted: ``` client = bigquery.Client(project='my-project') client.extract_table_storage(..., bigquery.Client(project='bigquery-public-data').dataset('hacker_news').table('comments')) ``` Despite the fact that the client involved will never be used. The proposed fix is to add a kwarg `project` to the Dataset class which overrides the originating project. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: User defined context in print_stack_entry When using `ipdb`'s `set_trace()`, `print_stack_entry` sets the [default context to 3 lines](https://github.com/ipython/ipython/blob/master/IPython/core/debugger.py#L335). While this does preserve space, it can be very helpful to have a user defined context size, rather than continuously hitting `l` (list) to display more lines. It would be great to add a keyword to `ipdb's`'s `set_trace` (such as `context` or even `c`) that passes a context value to [Pdb](https://github.com/ipython/ipython/blob/master/IPython/core/debugger.py#L201). The change to ipython would be minimal: Adding a `context` keyword to `Pdb` and `print_stack_entry`. Not sure if there is a cleaner way to integrate this (perhaps into [Tracer's set_trace](https://github.com/ipython/ipython/blob/master/IPython/core/debugger.py#L170)?) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Doc request: Alphabetical sorting of parameters in QuantumCircuit ### Environment qiskit-terra: 0.20.0 ### What is happening? `QuantumCircuit` objects sort their list of parameters alphabetically by the parameter names, and AFAICT this is not documented. I think it would help to point it out on the `assign_parameters` and `bind_parameters` documentation, and maybe on the `QuantumCircuit` page. ### How can we reproduce the issue? https://qiskit.org/documentation/stubs/qiskit.circuit.QuantumCircuit.assign_parameters.html ### What should happen? I'm bringing this up because the behavior seems surprising given that `circuit.parameters` kind of looks like a list, but does not preserve order of insertion like a list. Clueless users like me then assume `assign_parameters()` will, when given a list of values, bind those values to the parameters in order of insertion. This assumption leads to trouble that's tricky to notice, diagnose, and fix. (E.g., `ParameterVector('angles_11')` gets bound with the values intended for `ParameterVector('angles_2')` ) ### Any suggestions? _No response_ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Update CHANGELOG for 0.7.x ## 🐛 Bug <!-- A clear and concise description of what the bug is. --> Updated CHANGELOG according to the reset changes (about last two weeks) especially deprecated items like `data_loader` or `xxxxx_end` ### Additional context <!-- Add any other context about the problem here. --> https://github.com/PyTorchLightning/pytorch-lightning/milestone/4 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Build on Launch Sketch for a service that builds on demand: - Checks for should_build - different version, different extensions, etc. - Set metadata in page config - Add a build service tornado handler that gives back the build data - New plugin in apputils-extension - checks for page_config, then runs the build service - When it completes we get the option to reload - If it fails we get some indication Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Cannot train model from scratch using `run_mlm.py`. Looks like the trainer does not like when it gets a `None`, so when we train from scratch, there is a `None` in this `if` and crashes: https://github.com/huggingface/transformers/blob/a6cf9ca00b74a8b2244421a6101b83d8cf43cd6b/examples/language-modeling/run_mlm.py#L357 I solved it by deleting that line, but I guess it could affect to other use cases. To reproduce, call `run_mlm` this way (I guess it is easier to reproduce, but this might be enough): ``` python run_mlm.py \ --model_type bert \ --train_file ./data/oscar_1000.txt \ --validation_file ./data/oscar_1000_valid.txt \ --output_dir testing_model \ --tokenizer_name bert-base-spanish-wwm-cased \ --overwrite_output_dir \ --do_train \ --do_eval \ --evaluation_strategy steps \ --per_device_train_batch_size 16 \ --per_device_eval_batch_size 16 \ --max_steps 500 \ --save_steps 2000 \ --save_total_limit 15 \ --overwrite_cache \ --max_seq_length 512 \ --eval_accumulation_steps 10 \ --logging_steps 1000 \ ``` The dataset I'm using I guess that isn't relevant so any corpus will do. @sgugger Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: python setup.py failed vs git submodule update worked Hi, I am following master and just pulled to get the navigation feature. I'm using IPython from the git repo by issuing ``` python setup.py develop ``` after pulling. This time it told me to update the submodules. Issuing ``` python setup.py submodule ``` threw an error. While ``` git submodule update ``` worked. Not sure whether this problem is with my local installation or with some changes in master. I'm not even sure how to debug this. If you want me to test anything please feel free to ask. Here is the full shell session including the traceback ``` shell markus@zurich:~/python-dev/ipython$ python setup.py develop Cannot build / install IPython with unclean submodules Please update submodules with python setup.py submodule or git submodule update or commit any submodule changes you have made. markus@zurich:~/python-dev/ipython$ python setup.py submodule Traceback (most recent call last): File "setup.py", line 193, in <module> package_data = find_package_data() File "/home/markus/python-dev/ipython/setupbase.py", line 197, in find_package_data assert len(glob(path)) > 0, "No files match pattern %s" % path AssertionError: No files match pattern IPython/html/static/components/font-awesome/font/*.* markus@zurich:~/python-dev/ipython$ git submodule update Submodule path 'IPython/html/static/components': checked out 'bf1ac7f0df7207b26775089c5ac788ce11c23be5' ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Avoid potential import cycles from Aer and IBMQ <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? Right now the effort to remove namespace packaging in #5089 is blocked on the modules level imports of `Aer` and `IBMQ`. This is because this causes an import cycle when those factory objects are no longer in the qiskit namespace. Basically, `qiskit_aer` imports `qiskit` whichi imports `qiskit_aer.Aer` which can't be resolved by python. To move forward on this we need to make these objects lazily load `qiskit.providers.aer`/`qiskit_aer` and `qiskit.providers.ibmq`/`qiskit_ibmq_provider`. The easiest way to handle this is to wait for python 3.7 to be the minimum python version and then we can just use a module level `__getattr__` and import when `Aer` or `IBMQ` are accessed. But that is likely 6+ months away since 0.17.0 will start the deprecation timer on Python 3.6 support. In the meantime we should be able do something like: ```python3 class _AerWrapper: def __init__(self): self.aer = None def __getattr__(self, attr): if self._aer is None: try: from qiskit.providers.aer import Aer except ImportError: raise ImportError("useful message") self.aer = Aer return getattr(self.aer, attr) ``` (note this is completely untested, just my rough idea). This should hopefully enable us to remove the import cycle at the module level. It would also have a noticeable benefit for #5100 as we're not unconditionally importing ibmq and aer all the time. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Drag target very small if IPython Dashboard has no notebooks When importing a notebook into the dashboard, the table of existing notebooks is the drag target. This is quite a small area. If the drag target is missed, the browser merely loads the ipynb file as plain text. Consider making the drag target larger, especially if the existing notebook list is empty. Drag target very small if IPython Dashboard has no notebooks When importing a notebook into the dashboard, the table of existing notebooks is the drag target. This is quite a small area. If the drag target is missed, the browser merely loads the ipynb file as plain text. Consider making the drag target larger, especially if the existing notebook list is empty. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: no include directories with precompiled headers ? Hi, i have a project structure tree that looks like: lib/     inc         lib             lib.h     src     pch         stdafx.h app/     inc     src     pch         stdafx.h what i do (maybe it's a bad idead?), is that I include all the headers in my lib inside lib.h. that way, any app using that needs lib can just include lib/lib.h. i'm trying to use precompiled headers so that lib/pch/stdafx.h contains lib.h app/pch/stdafx.h also contains lib.h meson.build for the app is setup like this: executable( 'app' , src , include_directories : [lib_inc] , link_with : lib_lib , cpp_pch : ['pch/stdafx.h', 'pch/stdafx.cpp']) problem is when i'm compiling, i have this error: Precompiling header ../app/pch/stdafx.h FAILED: app/app@exe/stdafx.h.pch clang++ "-Wall" "-Winvalid-pch" "-Wnon-virtual-dtor" "-std=c++11" "-DWINDOWS" "-DIX_DEBUG" "-O0" "-g" "-MMD" "-MQ" app/app@exe/stdafx.h.pch "-MF" "app\\app@exe\\stdafx.h.pch.d" -o app/app@exe/stdafx.h.pch -c ../app/pch/stdafx.h clang++.exe: warning: treating 'c-header' input as 'c++-header' when in C++ mode, this behavior is deprecated ../app/pch/stdafx.h:5:10: fatal error: 'lib/lib.h' file not found #include <lib/lib.h> seems to me that the include_directories doesnt apply to precompiled headers. is it expected? bonus: how can i get rid of the warning? note that i'm running a meson.build script from the root directory, with subdir for lib and app. thanks a lot in advance, best regards, Uj Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add validate parameter to gcloud.storage.connection.get_bucket() But make it default to False (http://www.appneta.com/blog/s3-list-get-bucket-default/) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Unnecessary performance bottleneck in Statevector.evolve <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations - **Qiskit Aer version**: 0.5.0 - **Python version**: 3.8 - **Operating system**: linux (ubuntu 18.04) ### What is the current behavior? Statevector.evolve is slow, because it recreates Statevector objects, which itself is a slow operation. ### Steps to reproduce the problem Throw a line profiler on a code segment that calls Statevector.evolve repeatedly. ### What is the expected behavior? Creating a Statevector should have little to no overhead. ### Suggested solutions I profiled some code that uses Statevector.evolve repeatedly, and identified the bottleneck: ``` # qiskit/quantum_info/states/statevector.py in Statevector.evolve return Statevector(np.reshape(tensor, np.product(new_dims)), dims=new_dims) # same file, Statevector.__init__ super().__init__(...) # qiskit/quantum_info/states/quantum_state.py in QuantumState.__init__ self._rng = np.random.RandomState() ``` Now, creating a RandomState object seems to have tremendous overhead; indeed, the np.reshape operation of tensor is much quicker. Workaround: after loading qiskit and numpy, run ``` def _global_rng_fix(): return _global_rng_fix._random_state _global_rng_fix._random_state = np.random.RandomState() np.random.RandomState = _global_rng_fix ``` This is not a fix! A true fix would be to use a newer rng object that doesn't have massive overhead (note that RandomState is legacy code anyhow - and since there's no seed set, it's unclear what the benefit of a separate RandomState object should be within a Statevector anyhow). Thanks for your great work! ~ Johannes Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Add MSN checkpoints to ViT ### Feature request It's been a while Meta released the [MSN](https://github.com/facebookresearch/msn) (Masked Siamese Networks) checkpoints. MSN is known to perform pretty well in few-shot settings. Few-shot regime is important for real-world applications. They have only released the encoder weights. I have worked on a [Colab Notebook](https://colab.research.google.com/gist/sayakpaul/51556ce57facea02041cf0c0f1c3fed3/scratchpad.ipynb) that converts the released MSN checkpoints into HF format and performs assertions to ensure the converted weights can be loaded into HF's ViT classes. This issue proposes adding the MSN checkpoints to be compatible with HF's ViT classes. ### Motivation MSN is particularly useful in few-shot learning regimes. ### Your contribution Can contribute to the checkpoints and other related utilities. @NielsRogge could you assign this issue to me? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: bug in permutation circuits The permutation circuits from the circuit library do not implement some permutation correctly. For example: ```py from qiskit.circuit.library import Permutation Permutation(8, [5,4,1,7,6,3,0,2]).decompose().draw() ``` here the 5th qubit has to end up in the 0th location, but it ends up in the 6th location because two swaps act on it. ``` q_0: ────X─────X─ │ │ q_1: ─X──┼──X──┼─ │ │ │ │ q_2: ─┼──┼──X──┼─ │ │ │ q_3: ─┼──┼──X──┼─ │ │ │ │ q_4: ─X──┼──┼──┼─ │ │ │ q_5: ────X──┼──┼─ │ │ q_6: ───────┼──X─ │ q_7: ───────X──── ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: QuantumCircuit __eq__ fails when comparing with None ## Information Qiskit Terra version: 0.15.1 Python version: 3.7.7 Operating system: MacOS v10.15.6 ## What is the current behavior? When two `QuantumCircuit` objects are compared with `==` and one of them is `None`, an error is thrown. ## Steps to reproduce the problem ``` from qiskit import QuantumCircuit qc1 = QuantumCircuit() qc2 = None qc1 == qc2 --> error ``` ## What is the expected behavior? The `qc1 == qc2` comparison should always return `True` or `False`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Virtualbuildenv generator should setup Visual Studio paths I believe Virtualbuildenv generator should generate `activate_build.bat` that setup the whole Visual Studio environment like `tools.vcvars()` does. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Circuit drawers do not respect classical conditional ordering <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.16.0 - **Python version**: - **Operating system**: ### What is the current behavior? Having gates conditioned on measurements performed earlier are moved before the measurements in the circuit drawing eg ``` qr = QuantumRegister(3) cr = ClassicalRegister(2) qc = QuantumCircuit(qr,cr) qc.reset(range(3)) qc.h(1) qc.cx([1,0],[2,1]) qc.h(0) qc.measure([0,1], [0,1]) qc.z(2).c_if(cr, 1) qc.x(2).c_if(cr, 2) ``` ``` ┌───┐┌─┐ q6_0: ─|0>──────────────■───┤ H ├┤M├─────── ┌───┐ ┌─┴─┐ └┬─┬┘└╥┘ q6_1: ─|0>─┤ H ├──■───┤ X ├──┤M├──╫──────── └───┘┌─┴─┐ ├───┤ └╥┘ ║ ┌───┐ q6_2: ─|0>──────┤ X ├─┤ Z ├───╫───╫──┤ X ├─ └───┘ └─┬─┘ ║ ║ └─┬─┘ ┌──┴──┐ ║ ║ ┌──┴──┐ c9: 2/═══════════════╡ = 1 ╞══╩═══╩═╡ = 2 ╞ └─────┘ 1 0 └─────┘ ``` <img width="467" alt="Screen Shot 2020-11-11 at 19 14 01" src="https://user-images.githubusercontent.com/1249193/98878880-1305d680-2452-11eb-9d5e-2c2900babe1e.png"> ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: macOS: LD version detection not working with Xcode 15.0 beta 3 The linker version detection happens here: https://github.com/mesonbuild/meson/blob/master/mesonbuild/linkers/detect.py#L197C6-L197C6 ```python for line in newerr.split('\n'): if 'PROJECT:ld' in line: v = line.split('-')[1] break ``` However, the latest Xcode 15.0 beta 3 outputs this: ``` @(#)PROGRAM:ld PROJECT:dyld-1009.5 BUILD 20:45:24 Jun 29 2023 configured to support archs: i386 x86_64 x86_64h armv6 armv7 armv7s armv7m armv7k arm64 arm64e arm64_32 LTO support using: LLVM version 15.0.0 (static support for 29, runtime is 29) TAPI support using: Apple TAPI version 15.0.0 (tapi-1500.0.12) Library search paths: Framework search paths: ld: Undefined symbols: _main, referenced from: clang: error: linker command failed with exit code 1 (use -v to see invocation) ``` Compare this with Xcode 14.3.1: ``` @(#)PROGRAM:ld PROJECT:ld64-857.1 BUILD 23:13:29 May 7 2023 configured to support archs: armv6 armv7 armv7s arm64 arm64e arm64_32 i386 x86_64 x86_64h armv6m armv7k armv7m armv7em Library search paths: Framework search paths: Undefined symbols for architecture arm64: "_main", referenced from: implicit entry/start for main executable ld: symbol(s) not found for architecture arm64 clang: error: linker command failed with exit code 1 (use -v to see invocation) ``` As you can see, the project name changed from `PROJECT:ld` to `PROJECT:dyld` and the detection code no longer works. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: `max_results` is ignored if `bqstorage_client` is used in `to_dataframe` or `to_arrow` #### Steps to reproduce 1. Call `list_rows` with `max_results` set. 2. Call `to_dataframe` or `to_arrow`. 3. Observe that more rows were returned than were requested. #### Code example ```python from google.cloud import bigquery from google.cloud import bigquery_storage bqclient = bigquery.Client() bqstorage_client = bigquery_storage.BigQueryStorageClient() df_tabledata_list = bqclient.list_rows( "bigquery-public-data.utility_us.country_code_iso", selected_fields=[bigquery.SchemaField("country_name", "STRING")], max_results=100, ).to_dataframe() print("tabledata.list: {} rows".format(len(df_tabledata_list.index))) df_bqstorage = bqclient.list_rows( "bigquery-public-data.utility_us.country_code_iso", selected_fields=[bigquery.SchemaField("country_name", "STRING")], max_results=100, ).to_dataframe(bqstorage_client=bqstorage_client) print("bqstorage: {} rows".format(len(df_bqstorage.index))) ``` #### Output ``` tabledata.list: 100 rows bqstorage: 278 rows ``` #### Possible fixes 1. (Harder) Keep track of how many rows you've downloaded in a BQ Storage session so far. Once you've downloaded enough rows, close all streams (is this even possible?). 2. (Easier, but acceptable) If `max_results` is set, always download data with tabledata.list. I think we should implement the fix with (2) because if `max_results` is set, it's unlikely that we are downloading all that many rows where using the BQ Storage API makes sense. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Cloud PR references Core See https://github.com/PrefectHQ/cloud/pull/546 for more details Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: update PyPI classifiers to not install with unsupported Python versions Right now if you do `pip-3.9 install numpy`, it will try to build NumPy for a version that does not support Python 3.9 yet (as stated in the release notes, and in `numpy/__init__.py`). We should see if we can fix the PyPI classifiers for this. EDIT: or it's `python_requires='>=3.6'` in `setup.py`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: DLP Synth.py will not generate buildable docs The current synth.py for DLP will not build docs correctly. Add replacement patterns to adjust docstrings Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: Add support for query parameters The CLI command `bq query` now supports query parameters for Standard SQL queries and the API does as well (https://cloud.google.com/bigquery/docs/reference/v2/jobs/query#request-body). It would be great to be able to provide these via google.cloud. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: add TPU tests ## 🚀 Feature we shall also cover TPU usage as we are supporting it ### Motivation now all changes are tested for GPUs and CPU but we do not have a check for TPU yet ### Pitch getting coverage back to ~99% Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] Path expansion in virtualrunenv generator adds extra colon for empty path ### Environment Details * Operating System+version: Debian GNU/Linux 10 * Conan version: 1.34.0-dev * Python version: 3.7.0 * Shell: GNU bash, version 5.0.3(1)-release (x86_64-pc-linux-gnu) ### Steps to reproduce (Include if Applicable) ~~~bash export LD_LIBRARY_PATH= # install a recipe with "-g virtualrunenv" source activate.sh echo $LD_LIBRARY_PATH ~~~ The last echo prints path with extra ":" at the end. ### Explanation According to [Bash expansion](https://www.gnu.org/software/bash/manual/html_node/Shell-Parameter-Expansion.html): > **${parameter:+word}** > If parameter is null or unset, nothing is substituted, otherwise the expansion of word is substituted. Conan uses: ~~~bash PATH="..."${PATH+:$PATH} ~~~ Using `${var+:$var}`: ~~~bash export DEFINED_EMPTY_VAR= echo "xxx"${DEFINED_EMPTY_VAR+:$DEFINED_EMPTY_VAR} echo "xxx"${UNDEFINED_VAR+:$UNDEFINED_VAR} ~~~ Results ~~~ xxx: xxx ~~~ Correct form `${var:+:$var}`: ~~~bash export DEFINED_EMPTY_VAR= echo "xxx"${DEFINED_EMPTY_VAR:+:$DEFINED_EMPTY_VAR} echo "xxx"${UNDEFINED_VAR:+:$UNDEFINED_VAR} ~~~ Results ~~~ xxx xxx ~~~ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: qpy not recognizing complex number as a parameter for Initialize <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.18.0 - **Python version**: - **Operating system**: ### What is the current behavior? When trying to serialize a QuantumCircuit using qpy, I got ``` ~/Documents/Q/Github/qiskit-terra/qiskit/circuit/qpy_serialization.py in _write_instruction(file_obj, instruction_tuple, custom_instructions, index_map) 722 size = len(data) 723 else: --> 724 raise TypeError( 725 f"Invalid parameter type {instruction_tuple[0]} for gate {type(param)}," 726 ) TypeError: Invalid parameter type <qiskit.extensions.quantum_initializer.initializer.Initialize object at 0x103fd6dc0> for gate <class 'complex'>, ``` ### Steps to reproduce the problem The circuit I used: ``` import io import numpy as np from qiskit.circuit import QuantumCircuit, qpy_serialization from qiskit.circuit.library import QFT from qiskit.quantum_info import Statevector k = 5 state = (1/np.sqrt(8))*np.array([np.exp(-1j*2*np.pi*k*(0)/8),np.exp(-1j*2*np.pi*k*(1)/8), np.exp(-1j*2*np.pi*k*(2)/8), np.exp(-1j*2*np.pi*k*3/8),np.exp(-1j*2*np.pi*k*4/8),np.exp(-1j*2*np.pi*k*5/8), np.exp(-1j*2*np.pi*k*6/8), np.exp(-1j*2*np.pi*k*7/8)]) qubits = 3 circuit = QuantumCircuit(qubits, qubits) circuit.initialize(state) circuit.append(QFT(qubits),range(qubits)) circuit.measure(range(qubits),range(qubits)) buffer = io.BytesIO() qpy_serialization.dump(circuit, buffer) ``` ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Reconnecting error messages with master(-ish) Version: ee6223ab74eb My situation is that I set up a remote notebook on a server that I only can reach when in a VPN. Now, my Wifi is shaky for some reason, that's possibly how my VPN get's shaky. So I needed to close my notebook after a VPN reconnect and the dashboard still reported it as 'running'. When I clicked on the 'running' notebook, I got this error in the console: ``` python RunTimeError: Method not supported by Web Sockets ``` Full error log here: https://gist.github.com/23ed2e252897d96804a5 Working on OSX 10.9.5 using conda and Python 3.4 Reconnecting error messages with master(-ish) Version: ee6223ab74eb My situation is that I set up a remote notebook on a server that I only can reach when in a VPN. Now, my Wifi is shaky for some reason, that's possibly how my VPN get's shaky. So I needed to close my notebook after a VPN reconnect and the dashboard still reported it as 'running'. When I clicked on the 'running' notebook, I got this error in the console: ``` python RunTimeError: Method not supported by Web Sockets ``` Full error log here: https://gist.github.com/23ed2e252897d96804a5 Working on OSX 10.9.5 using conda and Python 3.4 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Trying to set c_std to 18 and got an error I am trying to set ‘c_std’ to version 18 and it printed an error about that version not being valid. The document on built-in options states that it is. However the value “c17” is working. Would this be fixed at some point? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: ImportError: cannot import name 'ciient_info' `i != l`: https://github.com/googleapis/google-cloud-python/blame/a9bcc2755248d41b7610ceff80cd9357ad7fd04a/error_reporting/google/cloud/error_reporting/client.py#L25 Who reports the error reporter? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Text circuits in Jupyter misaligned   ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior? Following #2769 my text circuits are not aligned in Jupyter:  verses the old way:  ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: distutils deprecation in Python 3.12 ### What is the idea? [PEP 0632](https://www.python.org/dev/peps/pep-0632/) announced the deprecation of the `distutils` package in Python 3.10 and the removal of said package in Python 3.12. `conda` should be prepared for when this happens. ### Why is this needed conda will likely break with Python 3.12 if no updates are made. (That or a `distutils` shim package will need to be added as a dependency.) ### What should happen? Use of `distutils` should be replaced (or supplemented) with non-distutils equivalents; as of the latest `master` @ [commit fb5c95f1f](https://github.com/conda/conda/tree/fb5c95f1f), it's being used in the following places: ``` $ egrep -rnIH '(from|import) distutils' conda conda/common/path.py:17:from distutils.spawn import find_executable conda/auxlib/packaging.py:70:from distutils.command.build_py import build_py conda/auxlib/packaging.py:71:from distutils.command.sdist import sdist conda/auxlib/packaging.py:72:from distutils.util import convert_path conda/auxlib/path.py:3:from distutils.sysconfig import get_python_lib ``` ### Additional Context _No response_ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: `Flow.visualize()` should be able to display inline in a Jupyter notebook Whether by user-provided `kwarg` or by magic, `Flow.visualize()` should be able to render inline in IPython notebooks. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: parallel.client.client references undefined error.EngineError parallel/client/client.py, line 712 tries to instantiate the undefined class error.EngineError It seems to me that it should be defined in parallel/error.py I'm using IPython 1.0.0 In the current master trunk, error.EngineError is referenced on line 718, and is still undefined. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the google/jax codebase. Here's the problem: Potential type promotion bug. Since the latest jax type promotion changes I'm seeing the following strange type promotion behavior (x64, CPU at head): ```python import jax.numpy as np from jax.config import config config.update('jax_enable_x64', True) xs = np.array([1., 2.], np.float32) sigma = np.float32(1.0) print(np.exp(xs / sigma ** 2).dtype) # Float64 ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: BaseOperator type hints for retry_delay and max_retry_delay should reveal float option ### Describe the issue with documentation `BaseOperator` type hints for `retry_delay` and `max_retry_delay` shows `timedelta` only, however the params also accept `float` seconds values. Also, type hint for `dag` param is missing. More precise type hints and params descriptions in the docs can help to understand the code behavior easier. ### How to solve the problem _No response_ ### Anything else _No response_ ### Are you willing to submit PR? - [X] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: add list of packages to conanbuildinfo.cmake Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: CI test to simulate JupyterLab usage without NodeJS > Would it be easy to set a case in the CI to simulate the installation and execution of JupyterLab with no NodeJS available ? @blink1073 and I both thought that we already were testing this. It's possible that the move to the Microsoft CI somehow accidentally deleted this test. It's also possible that both of us were misremembering what we currently test, which is that we test that we can build even without a global yarn: https://github.com/jupyterlab/jupyterlab/blob/c27318d64f84dc85f04a10fd00c577bcb037f137/scripts/ci_install.sh#L8-L11 We definitely *should* test it somehow, though. _Originally posted by @jasongrout in https://github.com/jupyterlab/jupyterlab/pull/7461#issuecomment-549037943_ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: MLflowCallback to log run_name argument # 🚀 Feature request When using the MLflowCallback (set as default for Trainer), I would like to log the `run_name` argument passed to TrainingArguments as the Run Name on the MLflow dashboard. Currently runs are being logged as nameless. E.g. see below. ![Screenshot 2020-11-13 at 10 29 32](https://user-images.githubusercontent.com/2844109/99062592-21abd500-259b-11eb-9caf-c43d2bcb31dc.png) ## Motivation Trainer makes training 🤗 models so easy and MLflow is great for organising experiments/caching artifacts. I would like to make it easier to organise experimental runs and make research easier, particularly for larger teams. This feature would be a very simple patch on the original PR #8016 example usage ``` training_args = TrainingArguments( label_names=['labels_t1', 'labels_t2'], output_dir='./runs, # output directory run_name='multitask_clf_<run_name>', ) trainer = Trainer( model=model, # the instantiated 🤗 Transformers model to be trained args=training_args, # training arguments, defined above train_dataset=train_dataset, # training dataset ) ``` ## Your contribution I can submit a PR Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Meson 0.43 module build.py fix to known_kwargs for jar targets When the jar() function is used to create a Java target, build.py issues a warning message: 'WARNING: Unknown keyword argument(s) in target <your_target>: target_type.' This occurs because class Jar in build.py doesn't known about the target_type argument passed to it. In build.py, top level, just after setting known_exe_kwargs, add these two lines: known_jar_kwargs = known_basic_kwargs.copy() known_jar_kwargs.update({'target_type': 'jar', }) In the definition of class Jar in build.py, override the check_unknown_kwargs() method inherited from class BuildTarget with: def check_unknown_kwargs(self, kwargs): self.check_unknown_kwargs_int(kwargs, known_jar_kwargs) That should eliminate the warning message . Can you help me debug this systematically and explain your reasoning?