[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: undefined f if vmap applied to lu.WrappedFun In `vmap`, `f` is not be defined whenever the if condition is false: https://github.com/google/jax/blob/f8eda9bb645a1ed489f08be57bae380bbcf5fa0c/jax/api.py#L414-L420 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: Filename completion when run script with %run When I type `~/` and press `Tab`, it completes with files in my home directory. Works also when a script runs `input`. _But_ when I want to run a script with args, the tab completion only works with directories, not files. Ex: `%run my_script ~` press Tab will expend: `/home/me/dir1 /home/me/dir2` but not: `/home/me/dir1 /home/me/dir2 /home/me/file` Is it possible tu have the file completion just like in a shell? 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: Basic pulse scheduler <!-- ⚠ 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? The Pulse API will supply a pulse `scheduler`, which in conjunction with the `CommandDefinition` (#1918) will allow compilation of `QuantumCircuit`s to a `PulseSchedule` (#1919). See #1713 for more information. For v0.8 a simple pulse scheduler will naively compile a `QuantumCircuit` to a `PulseSchedule`. v0.9 will include a more advanced scheduler that utilizes a PassManager. 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: Cannot inspect callable that raise in __bool__ The following should not raise. ``` python class NoBoolCall: def __call__(self): pass def __bool__(self): raise NotImplementedError('Must be implemented') b = NoBoolCall() b? ``` Likely in `oinspect.py`: ``` 835: if callable_obj: ``` Should be `if callable_obj is not None`, though i'm not sure. 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: Add BackendV2 mocked backends ### What is the expected enhancement? The mock backends in `qiskit/test/mock/backends` are built using snapshots of IBM Quantum's devices. Right now they're built using `BackendV1` (and `BaseBackend` for the legacy backend classes). To start fully testing the `BackendV2` interface we should add variants of these fake backend classes using `BackendV2`. We shouldn't replace the `BackendV1` objects since it's useful to exercise both versions of the interface while both are supported. 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] default_options are typed to unicode <!-- Please don't forget to update the issue title. Include all applicable information to help us reproduce your problem. To help us debug your issue please explain: --> ### Environment Details (include every applicable attribute) * Operating System+version: solaris intel or solaris ultrasparc (any version) * Compiler+version: gcc 4.8.5 * Conan version: 1.21.0 * Python version: 2.7.16 (Deprecation, but an issue to upgrade in our environment) ### Steps to reproduce (Include if Applicable) when setting the following default options as: ```python default_options=("SOME_OPT=%s" % (os.environ["SOME_OPT"])) ``` It causes the value reaching the conan_file.py create_options to be unicode, causing an exception You can fix this by changing line 26 on model/conan_file.py from ```python elif isinstance(default_options, str) ``` to be ```python elif isinstance(default_options, (str, unicode)) ``` Would be much appriciated and a quick fix :) Thanks, Ofir 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: run_circuits is using a hardcoded sleep when checking job status ### Environment - **Qiskit Terra version**: `main` branch - **Python version**: n/a - **Operating system**: n/a ### What is happening? The qiskit `run_circuits` utility is using a hard-coded sleep when it waits to check the job status here https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/utils/run_circuits.py#L219. ### How can we reproduce the issue? _The issue has to do with using a hard-coded value when there is a configured value that can be used instead._ ### What should happen? The code should instead use `qjob_config["wait"]` which comes from the `QuantumInstance` [constructor](https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/utils/quantum_instance.py#L168) and which can be made available to the code in run_circuits. ### 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 conda/conda codebase. Here's the problem: deactivate bug @kevinzzz007 your issue reported in #4275 is different than what #4275 is reporting. I've created a new issue here. > I have a similar problem, I created an env with a name that does not start with an underscore, first I can successfully activate this env, but when I type source deactivate when inside the env, I get an error as the following /Users/MyName/anaconda3/envs/EnvName/bin/deactivate:81: no such file or directory: /Users/MyName/anaconda3/envs/EnvName/bin/python, I looked at the /Users/MyName/anaconda3/envs/EnvName/bin directory and there is no python file in this directory, and after I typed the source deactivate command, my command prompt seems to be back to normal, but then the command prompt can't recognize simple commands like ls... > my conda version is 4.3.4 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 Qiskit/qiskit codebase. Here's the problem: Add a pad method to pulse schedule <!-- ⚠ 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? With the introduction of a delay instruction (#2846) we should add a method `pad` (or another name) which will take a pulse schedule and return a new schedule with delays inserted in all available timeslots. This will allow one to fix the behaviour of a given schedule by preventing additional pulses to be inserted and allow easier scheduling. 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: LaTeX Barriers are not centered between gates and measures on all columns <!-- ⚠ 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**: latest master - **Python version**: 3.7 - **Operating system**: linux ### What is the current behavior? @nonhermitian example in issue #938 shows a circuit with a barrier being drawn with a measure after a gate but the barrier is not centered for the gate and measure on q0_15: ![image](https://user-images.githubusercontent.com/2447371/46037725-0b024580-c0d7-11e8-8dc6-f3d15fadb04f.png) The barrier is being drawn from q0_0 (because the \barrier command in latex draws the barrier line down from the topmost bit) and the default horizontal offset is used because there is no measure immediately after the gate on that bit. This ends up being incorrect on q0_15 because because there is a measure immediately after the gate on that bit which moves the center line between those 2 boxes to the left. ### Steps to reproduce the problem Draw a circuit with a measure right after a gate on a bit covered by the barrier, but is not the bit where \barrier will be written in the latex. ### What is the expected behavior? The barrier line should centered between gates and measures on all bits covered by a barrier, not just the topmost bit (where the \barrier call is made from in the latex) ### Suggested solutions We need to adjust the check in the latex circuit drawer that looks for a measure directly after a gate on a bit to check all bits being covered by the barrier, not just the 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 Qiskit/qiskit codebase. Here's the problem: TensoredOp's to_matrix() returns a wrong value if coeff is not 1 ### Environment - **Qiskit Terra version**: 0.22.4 - **Python version**: 3.10.4 - **Operating system**: Ubuntu 20.04.5 LTS ### What is happening? `TensoredOp`'s `to_matrix()` returns a wrong value if coeff is not 1. ### How can we reproduce the issue? Run the following code: ``` from qiskit.opflow import Plus, Zero print((0.5 * (Plus ^ Zero)).to_matrix()) ``` Then, the following will be printed: ``` [0.1767767+0.j 0. +0.j 0.1767767+0.j 0. +0.j] ``` ### What should happen? The following should be printed: ``` [0.35355339+0.j, 0. +0.j, 0.35355339+0.j, 0. +0.j] ``` ### Any suggestions? I think this problem is related to #9283. 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: One off containers no longer link to themselves Regression since 0.3.2. 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 jsonschema dependency **Is your feature request related to a problem? Please describe.** I'm trying to install [poetry](https://github.com/sdispater/poetry) and `docker-compose` in a virtualenv but since they depend on different [jsonschema](https://github.com/Julian/jsonschema/blob/master/CHANGELOG.rst) major versions they become incompatible when running together in the venv. - `poetry`: [`>=3, <4`](https://github.com/sdispater/poetry/blob/master/pyproject.toml#L30) - `docker-compose`: [`>=2.5.1, <3`](https://github.com/docker/compose/blob/master/setup.py#L42) **Describe the solution you'd like** `docker-compose` to update its `jsonschema` dependency to `>=3, <4`. **Describe alternatives you've considered** I could just put the two in different venvs. I'm lazy and just want all my tools available in a single venv so I don't have to hop around so much. 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: Key name w/ slash quoted twice during upload The fix for #354 in #364 mistakenly quotes the `Key.name` when adding it the the `query_params` for the upload API call, but those params are already going to be quoted inside `Connection.make_api_request` (by way of `urllib.urlencode`). 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: [examples] add --max_train_samples --max_val_samples --max_test_samples cl args to all scripts As a part of an effort to make all examples have the same look and feel this issue requests to sync the support for these 3 cl args in `run_seq2seq.py`: ``` --max_train_samples 5 --max_val_samples 5 --max_test_samples 5 ``` into: 1. all other `examples/*/run_*.py` 2. `templates/adding_a_new_example_script` Part B. the metrics should be now updated to include the actual number of samples that were run. here is an example for train: https://github.com/huggingface/transformers/blob/f52a15897b46ffa40af5c96d3726f0e18e91879b/examples/seq2seq/run_seq2seq.py#L586-L590 and the same for eval/test. I'd say this can probable refactored too. Let me check with Sylvain. The way it's currently used is to limit the number of dataset entries w/o needing to change the dataset, example: ``` run_seq2seq.py --model_name_or_path t5-small --output_dir output_dir --do_eval --do_predict --do_train \ --evaluation_strategy=steps --predict_with_generate --task summarization --dataset_name xsum \ --max_train_samples 60 --max_val_samples 10 --n_test 10 ``` All the code that currently takes care of it can be found inside https://github.com/huggingface/transformers/blob/master/examples/seq2seq/run_seq2seq.py This issue is open to anybody in the community who would like to tackle it. Thank you! 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: Suggestion: 'undeprecate' extensions I can't think of a single reason why it is deprecated. Python package management is really bad to rely on pip, packing small personal customization extensions is a massive overkill and can lead to potential pip conflicts in the future and publishing it is a horrendous waste of time (and might not even be possible in some cases). Extensions folder was perfect for very simple personal extensions and now using it constantly shows warnings that can't be disabled. Startup scripts aren't a good alternative because they clutter globals space and trying to do something without putting anything into globals leads to extremely ugly code in startup scripts. 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: PIN 16: Implement `Result.validate` ## Use Case ~Blocked by #2143 and #2139~. See [PIN 16](https://github.com/PrefectHQ/prefect/pull/2134) for background. ## Solution Implement `Result.validate` such that - if `Result.run_validators=True` - all `Result.validators` are called on the result value - if any fail, raise ValidationFailed signal to trigger ValidationFailed state (*see alternative) - if all succeed, return True (*see alternative) ## Alternatives *Please describe any alternatives you've considered, even if you've dismissed them* - *I may be misrepresenting the intended method signature; if this method will be called by a TaskRunner method, we may want to receive `False` instead of a raise a ValidationFailed signal to allow the TaskRunner method to construct the ValidationFailed state and return it as part of the pipeline a la https://github.com/PrefectHQ/prefect/blob/66703e5f0a2d0d035d4d48af013b87d24a7a2a56/src/prefect/engine/task_runner.py#L957-L964 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: --use-local flag not working in 4.4.0 For some time I've been doing this: ``` conda build --old-build-string --python 2.7 conda install taxcalc=0.0.0 --use-local --yes ``` But that `conda install` command now fails under conda 4.4.0 and 4.4.1. I have been able to work around this problem by doing this: ``` conda build --old-build-string --python 2.7 conda install --offline ~/anaconda/conda-bld/osx-64/taxcalc-0.0.0-py27_0.tar.bz2 ``` Why does my old code fail under conda 4.4.0 and conda 4.4.1? The failure is that it says it cannot find the package, but it is where it has always been built: `~/anaconda/conda-bld/osx-64/taxcalc-0.0.0-py27_0.tar.bz2` 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: ReduceLROnPlateau scheduler type check ## 🐛 Bug Incorrect type check for scheduler of class ReduceLROnPlateau. https://github.com/PyTorchLightning/pytorch-lightning/blob/bc01b9ac1c0ddf503f83755c00d5541a2679e5b4/pytorch_lightning/trainer/trainer.py#L713 I believe, this check: `isinstance(scheduler, optim.lr_scheduler.ReduceLROnPlateau)` must look like this: `isinstance(scheduler['scheduler'], optim.lr_scheduler.ReduceLROnPlateau)` ### To Reproduce Steps to reproduce the behavior: 1. Create a scheduler of type `optim.lr_scheduler.ReduceLROnPlateau` in the `configure_optimizers` method of a `LightningModule` class. 2. Return an optimizer and scheduler from this method. Place them in lists: `return [optimizer], [scheduler]`. 2. Execute the `trainer.fit(module)`. 3. Put a break-point here: https://github.com/PyTorchLightning/pytorch-lightning/blob/bc01b9ac1c0ddf503f83755c00d5541a2679e5b4/pytorch_lightning/trainer/trainer.py#L712 4. Make sure that the condition is never 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: Implement PyTorch and/or TensorFlow sequence classification architectures for causal language models # 🚀 Feature request The architecture `GPT2ForSequenceClassification` was added in #7501 in PyTorch. It would be great to have it in TensorFlow (cf. issues #7622), but it would also be great to have it for other causal models: ~OpenAI GPT~, ~CTRL~ (PR opened @elk-cloner), ~TransfoXL~ (PR opened @spatil6) Below is a list of items to follow to make sure the integration of such an architecture is complete: - Implement `XXXForSequenceClassification` in `modeling_xxx.py` or `TFXXXForSequenceClassification` in `modeling_tf_xxx.py - Test that architecture in `tests/test_modeling_xxx.py` or `tests/test_modeling_tf_xxx.py` - Add that architecture to `__init__.py` and ` docs/source/model_doc/xxx.rst`. Taking a look at the code changes in #7501 would be a good start. A very good first issue to get acquainted with the library and its architectures! 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: Add standard Docker CLI flags for remote Daemon config? It'd be pretty nice to be able to run commands like you can with the regular docker client, so I don't have to always inject stuff into the shell environment. For example: ``` $ docker-compose $(docker-machine config default) up -d web ``` 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: CMake subproject with MSVC generate many warnings D9025 I use the CMake subproject in a project with cl-compiler and the ninja build system. The meson automatically puts the **/ZI** argument, but when parsing a subproject, it puts the **/Zi** argument. This causes many warnings D9025. 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: build_always: false does not match the 0.46.1 behaviour Specifying `build_always: false` and `build_by_default: true` on the same target seems to suppress the later. Targets declared as such are therefore never built unless something depends on them (but if you are using `build_by_default`, then chances are nothing does). ~~I suspect it also affects `build_always_stale: true` in the same way, but I have not tested that yet.~~ `build_always` must have lower priority than the other two for compatibility with older Meson releases. In addition, please don't be too trigger happy with deprecation warnings. As it stands, it is impossible to avoid the warning in meson git without also breaking compatibility with every current stable release, even if this bug is fixed. 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: base_url and static path Static path in template does not use the base_project_url. Which seem to work, but tornado is still serving static resources in `/static/` instead of `/$base_url/static` I will promote this to high as this prevent running ipython in parallel with other webapp. 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: TypeError: <class 'jax.ad_util.Zero'> is not a valid Jax type when I combine custom_jvp and lax.scan Hi all I have a difficult bug which I don't understand. It started appearing when I defined my custom gradients with `custom_jvp` (in forward mode), before, I did it in reverse mode with `custom_gradient`. I'm up-to-date on the master branch, as of this writing. `TypeError: <class 'jax.ad_util.Zero'> is not a valid Jax type` I've tried to make a simple code snippet to reproduce it, but it's still rather complex because the bug, as far as I can tell, only appears when I combine different things. I've tried lots of combinations, and so far I've seen the bug appear only when: 1) I define the gradient with `custom_jvp` 2) The custom gradient depends on `dA` (`A` does not depend on `theta`, I think it's got something to do with this) 3) I use `lax.scan` (the bug disappears when I use a python loop) 4) `theta` is used as below, directly in `step` (this is not breaking the 'pure function' requirement, right?) ```python import jax import jax.numpy as np @jax.custom_jvp def f(A, b): return A @ b def f_jvp(primals, tangents): A, b = primals dA, db = tangents z = f(A, b) dz = dA @ db return z, dz f.defjvp(f_jvp) def experiment(theta): def step(q, _): z = f(np.eye(3), np.ones(3) * theta) q += z[0] return q, q q = 0. q, _ = jax.lax.scan(step, q, None, 4) return q experiment_grad = jax.grad(experiment) g = experiment_grad(1.) print(g) ``` Thanks for the help! Rembert 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: IAM policy should return an empty set of the bindings do not exist https://github.com/GoogleCloudPlatform/google-cloud-python/blob/bd9fdfba07fac63a91847628613928a569250c0f/core/google/cloud/iam.py#L71 Should return an empty set if no bindings are set for that role. 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: [-e] Define cli syntax for packages in editable mode I'm working in a new feature: **install packages in editable mode.** ([branch](https://github.com/conan-io/conan/projects/1)) This feature should implement _the same_ behavior as the Python one: `pip install -e .` that makes the package in the working copy available system wide so you can use it from the sources you are editing. In Conan we would like to allow the user to install a package (a full reference) in editable mode, so every recipe making use of it will use the recipe, includes, binaries,... from the working copy. This simplifies the workflow when dealing with several interdependent libraries at the same time. Changes in a package will be taken into account in the dependent one without calling any Conan command (of course, build/link is still needed to compile and update `.lib` or `.bin` files). Ideas: ``` $ conan editable <path_to_conanfile.py> package/version@user/channel $ conan install -e <path_to_conanfile.py> package/version@user/channel ``` but I want feedback from every @conan-io/barbarians and @conan-io/community-leaders, and everyone interested, to design a new command or use an existing one. We should also think about how this new option/command interferes with existing ones. With the first implementation, I will provide a working example and explain what the package has to satisfy in order to allow _editable mode_. 💪 Thanks for your feedback. 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: AssertionError: If you see this error, please let us know by opening an issue at... Hi there! Just ran into ``` AssertionError: If you see this error, please let us know by opening an issue at https://github.com/google/jax/issues since we thought this was unreachable! ``` so I thought I better do as i was told! I am trying to implement an ML algorithm, and when jit tracing a function I get the error above. The issue was that i used a good old numpy randint inside the loss function, and when replacing that with a jax.random randint the error went away. AssertionError: If you see this error, please let us know by opening an issue at... Hi there! Just ran into ``` AssertionError: If you see this error, please let us know by opening an issue at https://github.com/google/jax/issues since we thought this was unreachable! ``` so I thought I better do as i was told! I am trying to implement an ML algorithm, and when jit tracing a function I get the error above. The issue was that i used a good old numpy randint inside the loss function, and when replacing that with a jax.random randint the error went away. 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: CORS access_control_allow_origin header never returned ### Apache Airflow version 2.2.2 (latest released) ### What happened To fix CORS problem added the [access_control_allow_headers](https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#access-control-allow-headers), [access_control_allow_methods](https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#access-control-allow-methods), [access_control_allow_origins](https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#access-control-allow-origins) variables to the 2.2.2 docker-compose file provided in documentation. Both header, and methods returns with the correct value, but origins never does. ### What you expected to happen The CORS response returning with provided origin header value. ### How to reproduce Download the latest docker-compose from documentation add the following lines: `AIRFLOW__API__ACCESS_CONTROL_ALLOW_HEADERS: 'content-type, origin, authorization, accept'` `AIRFLOW__API__ACCESS_CONTROL_ALLOW_METHODS: 'GET, POST, OPTIONS, DELETE'` `AIRFLOW__API__ACCESS_CONTROL_ALLOW_ORIGINS: '*'` run and call with a CORS preflight ### Operating System Windows 11 ### Versions of Apache Airflow Providers _No response_ ### Deployment Docker-Compose ### Deployment details _No response_ ### Anything else It's repeatable regardless of ORIGINS value. There was a name change on this variable that's possibly not handled. On 2.1.4 the same works without problems. ### Are you willing to submit PR? - [ ] 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 ipython/ipython codebase. Here's the problem: Audit nbconvert HTML output The HTML output of nbconvert should exactly match that of the live notebook. We need to do a careful diff of these two to make sure the tags and attributes match. 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: Need an REST API or/and Airflow CLI to fetch last parsed time of a given DAG ### Description We need to access the time at which a given DAG was parsed last. Airflow Version : 2.2.2 and above. ### Use case/motivation End users want to run a given DAG post applying the changes they have done on them. This would mean that the DAG should be parsed post the edits done to it. Right now the last parsed time is available by accessing the airflow database only. Querying the database directly is not the best solution to the problem. Ideally airflow should be exposing APIs that end users can consume that can help provide the last parsed time for a given DAG. ### Related issues Not Aware. ### Are you willing to submit a PR? - [ ] 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 gitpython-developers/GitPython codebase. Here's the problem: GitCommand errors are stringifying bytes in 3.1.15 The 3.1.15 release changed at least how `git.exc.GitCommandError` Errors are being generated. I have tested with `stderr`, but am guessing the same would be true for `stdout`. Previously `git.exc.GitCommandError.stderr` was a string of the error with bytes decoded, now the error is a string with bytes stringified. repo.git.rebase Error: * 3.1.14-stderr = `"\n stderr: 'fatal: invalid upstream 'invalid_branch''"` * 3.1.15-stderr = `'\n stderr: \'b"fatal: invalid upstream \'invalid_branch\'"\''` remote.push Error: * 3.1.14-stderr = `"\n stderr: 'error: src refspec invalid_branch does not match any\nerror: failed to push some refs to 'git@gitservice.com:project/repo.git''"` * 3.1.15-stderr = `'\n stderr: \'b"error: src refspec invalid_branch does not match any\\nerror: failed to push some refs to \'git@gitservice.com:project/repo.git\'"\''` Steps to reproduce: ``` import git exception = git.exc.CommandError(command="git rebase invalid_branch".split(), stderr=b"abc") exception.stderr ``` Steps to reproduce from code ``` import git path_to_repo = "my_project" repo = git.Repo(path_to_repo) local_branch = "invalid_branch" remote_branch = local_branch # Generate Error for Rebase try: repo.git.rebase(refspec=f"{remote_branch})" except Exception as err: print(err.stderr) # Generate Error for Push try: repo.remotes[0].push(f"{local_branch}:{remote_branch}") except Exception as err: print(err.stderr) ``` 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: Quoted defines are not correctly generated in Conan premake 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 1.14.4 macOs : 10.14.3 When including libraries or flags containing quote, the generated conanbuildinfo.premake.lua contains invalid data. For example, if a recipe includes : ```self.cpp_info.exelinkflags.extend([ '-framework "Chromium Embedded Framework"'])``` the following code is generated : ```"-framework "Chromium Embedded Framework"" ``` I have a fix located at firefalcom/conan@01dd9849630fd9e8884ea15ff8e9c262514baa0d It simply escapes the '''"''', generating ```"-framework \"Chromium Embedded Framework\"" ``` I can make a pull request if the fix is ok for you 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: Support jupyterlab_server 1.0 We cleaned up the server in https://github.com/jupyterlab/jupyterlab_server/pull/70 in preparation for its 1.0 release. We need to update ourselves accordingly. 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: `C3SXGate` inconsistent with `SXGate` <!-- ⚠ 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**: 0.18.3 - **Python version**: any - **Operating system**: any ### What is the current behavior? The definition of `C3SXGate()` is currently equivalent to `SXdgGate.control(3)`, but its name and its base gate definition indicate it should be equivalent to `SXgate.control(3)`. ### Steps to reproduce the problem ```python In [1]: from qiskit.circuit.library import SXGate, SXdgGate, C3SXGate ...: from qiskit.quantum_info import Operator ...: import numpy as np ...: ...: ( ...: np.linalg.norm(Operator(SXGate().control(3)) - Operator(C3SXGate())), ...: np.linalg.norm(Operator(SXdgGate().control(3)) - Operator(C3SXGate())), ...: ) Out[1]: (1.9999999999999984, 6.088839805355096e-15) ``` ### What is the expected behavior? `C3SXGate` should be consistent with `SXGate().control(3)`. ### Suggested solutions Swap the negatives of the angles in `C3SXGate.definition`. There's a fair amount more to do as well to ensure consistency - checking the equivalence library, QASM definitions, etc. 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: multi-gpu training triggers CUDA out of memory error Hi - I am running into issues when going from single to multi-gpu training. Specifically, if I switch the line `pl.Trainer(gpus=1, precision=16, distributed_backend='ddp')` to `pl.Trainer(gpus=4, precision=16, distributed_backend='ddp')` I get the dreaded CUDA out of memory error. Is there any reason why the parallelism causes the GPU to receive more data? 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: Improve documentation of ipcontroller and possible BUG I tried to follow the documentation to setup a simple cluster with one host acting as controller (Ubuntu) and a second host running several ipengine (Windows7). There is a misleading command in the doc. To launch the controller the doc says in "General consideration": ``` ipcontroller --ip=* ``` and in "Using the ipcontroller and ipengine commands" ``` ipcontroller --ip=192.168.1.16 ``` (and BTW there is no mention anymore to the \* syntax). However the command that worked for me is: ``` ipcontroller --ip='*' --location=192.168.1.64 ``` where location is the ip address of the host running the controller. Without location, the ipengine JSON file doesn't have the proper ip address (it has 127.0.0.1 instead). On a related note, the doc also states to use the following command to retrieve the local ip address in ipcontroller_config.py: ``` import socket ex_ip = socket.gethostbyname_ex(socket.gethostname())[-1][0] ``` but running this command on Ubuntu 12.04 returns 127.0.0.1, which is wrong. This maybe the reason why the ipcontroller command fails without the --location flag. 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: The tools in qiskit/tools/qi/ need more testing The files under `qiskit/tools/qi/` are partially covered by the current testsuite. (see #221) file | statements | missing | coverage -- | -- | -- | -- qiskit/tools/qi/qi.py | 207 | 99 | 52% qiskit/tools/qi/pauli.py | 155 | 38 | 75% It would be great to have more tests to cover the methods and functions in these files. Specially `qiskit/tools/qi/qi.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: cross compilation, static libraries and ranlib In Arch Linux it seems that we have to manually run ranlib to be able to use static libraries compiled using meson here you can find the meson wrapper (after 0.48 release we can finally remove the wine hack, thanks for fixing!) https://aur.archlinux.org/cgit/aur.git/tree/meson-mingw-wrapper?h=mingw-w64-meson and the cross file https://aur.archlinux.org/cgit/aur.git/tree/toolchain-mingw.meson?h=mingw-w64-meson as you can see ranlib is defined, but we have to manually run ranlib to be able to use the static libraries, for example: https://aur.archlinux.org/cgit/aur.git/tree/PKGBUILD?h=mingw-w64-glib2#n62 isn't meson supposed to do 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 Qiskit/qiskit codebase. Here's the problem: seaborn library requirement breaks Terra <!-- ⚠ 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**: 0.11.0 - **Python version**: 3.6.7 - **Operating system**: Ubuntu 16.04.6 LTS ### What is the current behavior? Aqua travis is failing due to missing library "seaborn": ile "/tmp/qiskit-terra-master/qiskit/execute.py", line 24, in <module> from qiskit.compiler import transpile, assemble File "/tmp/qiskit-terra-master/qiskit/compiler/__init__.py", line 35, in <module> from .transpile import transpile File "/tmp/qiskit-terra-master/qiskit/compiler/transpile.py", line 19, in <module> from qiskit.transpiler import Layout, CouplingMap File "/tmp/qiskit-terra-master/qiskit/transpiler/__init__.py", line 69, in <module> from .passmanager import PassManager File "/tmp/qiskit-terra-master/qiskit/transpiler/passmanager.py", line 19, in <module> from qiskit.visualization import pass_manager_drawer File "/tmp/qiskit-terra-master/qiskit/visualization/__init__.py", line 107, in <module> from .gate_map import plot_gate_map, plot_circuit_layout, plot_error_map File "/tmp/qiskit-terra-master/qiskit/visualization/gate_map.py", line 24, in <module> import seaborn as sns ModuleNotFoundError: No module named 'seaborn' ### Steps to reproduce the problem Just add the statement: "from qiskit.execute import execute" ### What is the expected behavior? Seaborn should not be required since it is part of optional visualization feature ### Suggested solutions Do not throw exception if seaborn is not present. 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: Debug linking of renderer extensions ``` git clone https://github.com/gnestor/jupyter-renderers.git cd jupyter-renderers git checkout rendermime-refactor npm install npm run build jupyter labextension link packages/geojson-extension ``` 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: Sabre swap mapper dominated by data copy <!-- ⚠ 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**: - **Operating system**: ### What is the current behavior? Running Sabre on a QV circuit over 20 qubits shows that data copying is the current bottleneck: Abbreviated profile: ``` 9631133 function calls (8921864 primitive calls) in 4.184 seconds Ordered by: internal time ncalls tottime percall cumtime percall filename:lineno(function) 497066/663 0.492 0.000 1.516 0.002 copy.py:132(deepcopy) 44375/860 0.312 0.000 1.499 0.002 copy.py:220(_deepcopy_tuple) 389939 0.232 0.000 0.326 0.000 layout.py:97(__getitem__) 191092 0.179 0.000 0.511 0.000 sabre_swap.py:326(<genexpr>) 55118/10740 0.160 0.000 1.537 0.000 copy.py:269(_reconstruct) 1312882 0.112 0.000 0.112 0.000 bit.py:73(__hash__) 1032203 0.107 0.000 0.108 0.000 {method 'get' of 'dict' objects} 44177/660 0.090 0.000 1.497 0.002 copy.py:237(_deepcopy_dict) ``` ### 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 gitpython-developers/GitPython codebase. Here's the problem: Can't pass environment variables to Git.execute This is needed for commands like `git-commit` and `git-commit-tree` in order to be able to specify author and committer information. While `git-commit` does provide the `--author` and `--date` to specify author information, there are no options for specifying committer information, and `git-commit-tree` is wholly dependent on environment variables. For instance, the following code fails with `TypeError: type object got multiple values for keyword argument 'env'`. ``` def pipe_of(string): import os if type(string) is str: string = bytes(string, 'utf-8') r,w = os.pipe() os.write(w, string) os.close(w) return r git = Repo('/path/ro/repo').git blob = git.execute(['git', 'hash-object', '-w', '--stdin'], istream=pipe_of("my data")) tree = git.execute(['git', 'mktree'], istream=pipe_of("100644 blob {}\tmy-file\n".format(blob))) commit = git.execute(['git', 'commit-tree', tree], istream=None, env={ 'GIT_AUTHOR_NAME':'Author Name', 'GIT_AUTHOR_EMAIL':'author@example.com', 'GIT_AUTHOR_DATE':'1400000000+0000', 'GIT_COMMITTER_NAME':'Comitter Name', 'GIT_COMMITTER_EMAIL':'committer@example.com', 'GIT_COMMITTER_DATE':'1500000000+0000', }) ``` 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: np.in1d bug on the object array The `np.in1d` method (Numpy 1.19.1, Python 3.8.3) makes some errors on the irregular-object array: **Case 1:** ```python np.in1d([(1,), 2], [(1,), 2]) ``` The output should be `[True, True]` but it says: ### Error message: ```python array([False, True]) ``` **Case 2:** ```python np.in1d([(1,), (2,)], [(1,), 2]) ``` The output should be `[True, False]` but it says: ### Error message: ```python array([True, 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 Qiskit/qiskit codebase. Here's the problem: qpy import of circuit with StatePreparation fails ### Environment - **Qiskit Terra version**: 0.21.0 - **Python version**: 3.8.9 - **Operating system**: macOS (M1) - Qiskit version 0.37.0 ### What is happening? When reimporting a simple circuit containing a StatePreparation with `qiskit.qpy`, one gets the error `qiskit.exceptions.QiskitError: 'The num_qubits parameter to StatePreparation should only be used when params is an integer'`. ### How can we reproduce the issue? Minimal example: ``` #!/usr/bin/python3 import qiskit import qiskit.qpy print(qiskit.__qiskit_version__) qc = qiskit.QuantumCircuit(1) qc.prepare_state([0,1], [0]) with open("tmp.qpy", "wb") as file: qiskit.qpy.dump(qc, file) with open("tmp.qpy", "rb") as file: new_qc = qiskit.qpy.load(file) #qiskit.exceptions.QiskitError: 'The num_qubits parameter to StatePreparation should only be used when params is an integer' ``` ### What should happen? Reimporting a circuit with qiskit.qpy should be possible. ### 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 googleapis/google-cloud-python codebase. Here's the problem: GCS test failures for 'headers' Was: https://github.com/GoogleCloudPlatform/google-resumable-media-python/issues/41 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: Template Module missing save_hyperparameters() / has unused args ## 📚 Documentation / Examples The main example is missing the current hparams best-practice outlined in: https://pytorch-lightning.readthedocs.io/en/latest/hyperparameters.html This means in the current example there is no automatic tensorboard logging of hparams which is insanely useful. It also includes ` optimizer_name: str = 'adam'` which is not actually used in `configure_optimizers()` since the optimizer is hard-coded to adam. 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: Wish: add ability to use local patch files It is impossible to use cmake projects if they placed not in root directory of subproject. For example look into LLVM project repository: https://github.com/llvm/llvm-project/ Each of its subdir is cmake projects but it is impossible to use them from Meson if llvm-project will be wrapped as subproject. 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: Add support for ui_extra_arguments to qt5 Just like https://github.com/mesonbuild/meson/pull/2529 adds moc_extra_arguments, ui_extra_arguments would be useful to override translator function (hello gettext/i18n). 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: Method validate_parameter() of GaussianSquare raises PulseError if you call it on a created pulse ### Environment - **Qiskit Terra version**: 0.19.2 - **Python version**: 3.10 - **Operating system**: MacOS ### What is happening? The validate_parameter() method of the GaussianSquare pulse will raise an error if you call it after the pulse is created. This happen because the `width` and the `risefall_sigma_ratio` are both set. ### How can we reproduce the issue? ```python import qiskit.pulse as ps # For any given acceptable pulse it will raise an error. out_pulse = ps.GaussianSquare(100, 0.3+0.3j, 2, 10). # Or any other param, that is not the focus. out_pulse.validate_parameters() ``` ### What should happen? After looking at the source code, I figured this was an internal function that is called before the pulse if completed. It should be expected that you can't call this function for any given pulse (Drag or Gaussian too for exemple.) Perhaps raise a different error in this case (the case of having a completed pulse.) ### Any suggestions? Perhaps two solutions that are both equivalent, one that I don't really know what it represent to change the name of this particular function. - Make this function private. - Document the function to explain that it is not client-side code. 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: conda list FileNotFoundError ``` "command": "/Users/hideki/anaconda/bin/conda list" "user_agent": "conda/4.4.3 requests/2.14.2 CPython/3.5.2 Darwin/16.7.0 OSX/10.12.6" Traceback (most recent call last): File \"/Users/hideki/anaconda/lib/python3.5/site-packages/conda/exceptions.py\", line 722, in __call__ return func(*args, **kwargs) File \"/Users/hideki/anaconda/lib/python3.5/site-packages/conda/cli/main.py\", line 78, in _main exit_code = do_call(args, p) File \"/Users/hideki/anaconda/lib/python3.5/site-packages/conda/cli/conda_argparse.py\", line 75, in do_call exit_code = getattr(module, func_name)(args, parser) File \"/Users/hideki/anaconda/lib/python3.5/site-packages/conda/cli/main_list.py\", line 150, in execute show_channel_urls=context.show_channel_urls) File \"/Users/hideki/anaconda/lib/python3.5/site-packages/conda/cli/main_list.py\", line 85, in print_packages other_python = get_egg_info(prefix) File \"/Users/hideki/anaconda/lib/python3.5/site-packages/conda/egg_info.py\", line 86, in get_egg_info for path in get_egg_info_files(join(prefix, sp_dir)): File \"/Users/hideki/anaconda/lib/python3.5/site-packages/conda/egg_info.py\", line 35, in get_egg_info_files for egg in get_egg_info_files(reader.readline().strip()): File \"/Users/hideki/anaconda/lib/python3.5/site-packages/conda/egg_info.py\", line 32, in get_egg_info_files for fn in os.listdir(sp_dir): FileNotFoundError: [Errno 2] No such file or directory: '/Users/hideki/darkflow' ``` 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: Support control flow ops in QASM3 exporter ### What is the expected enhancement? The QASM3 exporter is presently unaware of any of the op types in `qiskit.circuit.controlflow`, and will attempt to export them as opaque gates. It should be able to recognize them, and export the matching QASM3 control flow statements. 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: Storage: Make HTTP-Method in signed url in upper case (and validate) 1. Specify the API at the beginning of the title (for example, "BigQuery: ...") General, Core, and Other are also allowed as types ✅ 2. OS type and version I use the Storage lib inside a `Cloud Function` (Python Beta runntime) 3. Python version and virtual environment information `python --version` 3.7 4. google-cloud-python version `pip show google-cloud`, `pip show google-<service>` or `pip freeze` 1.12.0 5. Stacktrace if available ❌ 6. Steps to reproduce ❌ 7. Code example 👇 Hey guys 👋 currently I experiment a little bit with the Cloud Storage library inside a Cloud Function. For testing I want to make an already uploaded file available via `Blob#generate_signed_url`. The thing is - it works. I have no issues. But Yesterday I spend at least 6 hours for testing it because the `method` in the `generated_signed_url` needs to be in uppercase. Meaning the following does **not** work: ```python blob.generate_signed_url(timedelta(minutes=5), "get") ``` but **this** works: ```python blob.generate_signed_url(timedelta(minutes=5), "GET") ``` After a quick look into your code I found out that you "just put" the string into the generated URL. Without validating if that is a valid HTTP-Method! https://github.com/GoogleCloudPlatform/google-cloud-python/blob/81bc5ef11d1918580f41e9f8ee2c9be2529b1169/storage/google/cloud/storage/_signing.py#L189 I would recommend (or request with this issue 🙃 ) to either: * Check if the given string is a valid HTTP-Method (POST, GET, PUT etc.) **and** make the string to uppercase! * Or better (but leads to breaking changes (maybe 😃)) make an ENUM of it and only allow to put an enum-value into the 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 mesonbuild/meson codebase. Here's the problem: Meson configuring runs os.walk() over the entire source directory **Describe the bug** Running `meson --reconfigure` will os.walk() the entire source directory to find meson.build and meson_options.txt files. This can take a long time and is unnecessary: the result of this is only used for `meson introspect`. **To Reproduce** Place a really big directory tree in any Meson project, notice that this makes `meson --reconfigure` take much longer **Expected behavior** Meson should not use os.walk() and should only read files that were referenced by the build. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? native * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.): macOS 10.14.6 * what Python version are you using e.g. 3.8.0: 3.7.0 * what `meson --version`: 0.52.0 * what `ninja --version` if it's a Ninja build: 1.9.0 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 googleapis/google-cloud-python codebase. Here's the problem: Storage: blob.update_storage_class() does not work for large files [`Blob.update_storage_class()`](https://googleapis.github.io/google-cloud-python/latest/_modules/google/cloud/storage/blob.html#Blob.update_storage_class) does not work the same as [`Blob.rewrite()`](https://googleapis.github.io/google-cloud-python/latest/_modules/google/cloud/storage/blob.html#Blob.rewrite) despite sharing a common underlying API. When multiple API calls are required to complete the rewrite operation, `Blob.update_storage_class()` will fail after the first call. `Blob.update_storage_class()` assumes that `api_response['resource']` exists. However, according to the [docs](https://cloud.google.com/storage/docs/json_api/v1/objects/rewrite#response), this is only true when the operation completes on the first operation. Instead, I think that `Blob.update_storage_class()` should just leverage the logic in `Blob.rewrite()`, which handles this case already. I will also look to see how `gsutil` implements this. #### Stack trace ``` Traceback (most recent call last): File "rehost.py", line 31, in <module> blob.update_storage_class('COLDLINE') File "/var/lib/mysql/.local/lib/python2.7/site-packages/google/cloud/storage/blob.py", line 1497, in update_storage_class self._set_properties(api_response['resource']) KeyError: 'resource' Command exited with non-zero status 1 ``` #### Implementation - [x] Re-implement `Blob.update_storage_class()` as a wrapper around `Blob.rewrite()` - [x] Update any `Blob.update_storage_class()` tests - [x] Manually test new implementation with a large file #### References How `gsutil` handles looping through a rewrite operation - https://github.com/GoogleCloudPlatform/gsutil/blob/704781b250314791dda08191a7472d1a72da2c6c/gslib/gcs_json_api.py#L1477-L1526 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: conda only updates itself in the root environment I was listening to a presentation about conda a couple of days ago where it was mentioned that conda aggressively auto-updates itself. Aggressive auto-updates can be problematic, because they can result in the quick spread of a buggy release that is no longer able to update itself, which has happened to me and co-workers in the past. But in general they are a good thing, because they can help make sure that the installed user base is (a) not using outdated versions where problems were fixed long ago, and (b) are using a similar set of versions so that we don't have to reason about the effects of all possible version combinations. However, the main benefits of aggressively auto-updating only accrue if all or nearly all installations auto-update, which does not appear to be the case. Right now, it looks to me like auto-updates happen only when people regularly use the root environment. In my own workflows, I haven't installed anything in the root environment in many months; I always work on one of a number of more specialized environments instead. I didn't even realize this until recently, when I ran into a bug fixed several months ago in conda, and which I expected not to apply to me. I eventually fixed it by switching to the root environment and running ``conda update conda``, which was fine, but it was not at all clear that this would be needed. I imagine other users who don't use the root environment may encounter similar issues. I don't think conda is installed in any environment other than root, but maybe the other environments could warn on a ``conda install`` command if conda itself is more than a month or so out of date? 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: DLL import lib placed in subdirectory despite --layout=flat When I build this [example project](https://github.com/melak47/repro) with ``` meson target --layout=flat cd target ninja -v ``` I get: ``` [1/5] c++ @meson-out/repro@exe/src_main.cpp.obj.rsp [2/5] c++ @meson-out/foo@sha/src_foo.cpp.obj.rsp [3/5] c++ @meson-out/libfoo.dll.rsp [4/5] "c:\python36\python.exe" "C:\Python36\Scripts\meson.py" --internal symbolextractor meson-out/libfoo.dll meson-out/foo@sha/meson-out/libfoo.dll.symbols [5/5] c++ @meson-out/repro.exe.rsp FAILED: meson-out/repro.exe c++ @meson-out/repro.exe.rsp c++: error: meson-out\libfoo.dll.a: No such file or directory ninja: build stopped: subcommand failed. ``` The `libfoo.dll` target is defined in the `vendor/foo` subdirectory. `libfoo.dll` is correctly put into the `target/meson-out` directory, but `libfoo.dll.a` is put into `target/vendor/foo` (as with `--layout=mirror`): ``` . ├── meson-private │ ... ├── meson-out │ ├── libfoo.dll │ ├── foo@sha │ │ ├── src_foo.cpp.obj │ │ └── meson-out │ │ └── libfoo.dll.symbols │ ├── repro@exe │ │ └── src_main.cpp.obj │ └── repro.exe.rsp ├── build.ninja ├── vendor │ └── foo │ └── libfoo.dll.a ├── meson-logs │ └── meson-log.txt └── compile_commands.json ``` 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: PubSub: Publisher Futures result TimeOutError documentation is not matched with the code PubSub: Publisher Futures Result TimeOutError Environment: Python 3.6.9 * [Documentation](https://googleapis.dev/python/pubsub/latest/publisher/api/futures.html): `TimeoutError – If the request times out.` The link is point to `https://python.readthedocs.io/en/latest/library/exceptions.html#TimeoutError` * [Code](https://github.com/googleapis/google-cloud-python/blob/master/pubsub/google/cloud/pubsub_v1/exceptions.py): The TimeOutError used is `concurrent.futures.TimeoutError` 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: target_compile_definitions from import cmake project not working correctly I try to use this cmake library https://github.com/felixguendling/cista In CmakeLists line: target_compile_definitions(cista INTERFACE CISTA_${CISTA_HASH}=1) passed to the compiler incorrectly. On the cmake site https://cmake.org/cmake/help/latest/command/target_compile_definitions.html says that prefix -D not required, but meson doesn’t think so and pass to compiler two definitions at once: CISTA_FNV1A=1 -DCISTA_FNV1A=1 - ??? Change line to target_compile_definitions(cista INTERFACE -DCISTA_${CISTA_HASH}=1) fix this problem. But there is another library that does similar things and everything works fine: target_compile_definitions(spdlog PUBLIC SPDLOG_COMPILED_LIB) I think the problem is with INTERFACE or with parameter = 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 google/jax codebase. Here's the problem: [FR] support batching rule for `while` Currently, `vmap` seems do not support a function which involves `lax.while_loop`. For example, the following script will throw `NotImplementedError: Batching rule for 'while' not implemented`: ``` import jax.numpy as np from jax import jit, lax, vmap @jit def f(x): return lax.while_loop(lambda x: x <= 0, lambda x: x + 1, x) g = vmap(f) y = g(np.arange(3.)) ``` In case it is complicated to support `while_loop` for `vmap`, then could someone let me know other alternatives? I know some other alternatives from *gufuncs* tutorial such as using `onp.vectorize` or python for loop but they are slow. To make `g` fast, can I write `f` in C/Cython code and use vmap with it? Or should I write the whole `g` in C/Cython code? I have little experience with C/Cython but will try to learn if that is the only option. I just want to use `g` as a primitive function and will define `jvp_rule` for it separately. Thank you for any help in advance! 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: Dag disappears when DAG tag is longer than 100 char limit ### Apache Airflow version 2.2.5 ### What happened We added new DAG tags to a couple of our DAGs. In the case when the tag was longer than the 100 character limit the DAG was not showing in the UI and wasn't scheduled. It was however possible to reach it by typing in the URL to the DAG. Usually when DAGs are broken there will be an error message in the UI, but this problem did not render any error message. This problem occurred to one of our templated DAGs. Only one DAG broke and it was the one with a DAG tag which was too long. When we fixed the length, the DAG was scheduled and was visible in the UI again. ### What you think should happen instead Exclude the dag if it is over the 100 character limit or show an error message in the UI. ### How to reproduce Add a DAG tag which is longer than 100 characters. ### Operating System Ubuntu ### Versions of Apache Airflow Providers _No response_ ### Deployment Other 3rd-party Helm chart ### Deployment details Running Airflow in Kubernetes. Syncing DAGs from S3 with https://tech.scribd.com/blog/2020/breaking-up-the-dag-repo.html ### Anything else _No response_ ### Are you willing to submit PR? - [ ] 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 Lightning-AI/lightning codebase. Here's the problem: Propose to save new model before deleting previous ones in ModelCheckpointing ## 🚀 Feature <!-- A clear and concise description of the feature proposal --> In an edge case, the trainer deleted previous model and then was killed because of system error before successfully saving new model. Thus all the models were lost. I understand specifying save_top_k > 1 helps, and saving before deleting leads to larger disk consumption. But it might be good to provide an option for this? ### Motivation <!-- Please outline the motivation for the proposal. Is your feature request related to a problem? e.g., I'm always frustrated when [...]. If this is related to another GitHub issue, please link here too --> ### Pitch <!-- A clear and concise description of what you want to happen. --> in the worst case, you have two but never none... ### Alternatives <!-- A clear and concise description of any alternative solutions or features you've considered, if any. --> ### Additional context <!-- Add any other context or screenshots about the feature request 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 mesonbuild/meson codebase. Here's the problem: multiple find_program() output with add_install_script() I use add_install_script() multiple times and it searching for program every time. ``` Program ln found: YES (/usr/bin/ln) Program ln found: YES (/usr/bin/ln) Program ln found: YES (/usr/bin/ln) Program ln found: YES (/usr/bin/ln) Program ln found: YES (/usr/bin/ln) Program ln found: YES (/usr/bin/ln) Program ln found: YES (/usr/bin/ln) ``` 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: Collect object / bucket updates in batch See https://github.com/GoogleCloudPlatform/gcloud-python/pull/349/files#r19983607 By sending a `PATCH` request every time a property is set, we may make an application unnecessarily slow. We should work to make this simple and intuitive to users. 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: Capturing stdout and stderr from %run seems not to work When trying to capture stdout out from %run when using %%capture cell magic, the output of %run is still streamed to the cell. This is also true when the %%capture magic is substituded for the older solution, provided on stack overflow a few years ago by minrk: http://stackoverflow.com/questions/14571090/ipython-redirecting-output-of-a-python-script-to-a-file-like-bash Will provide a minimum working example shortly. 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: Add build dir before source dir in include directories When adding a directory to the list of included directories, we currently add both the source and build directory, but we should put the build directory before the source directory. This is particularly important for people who ship Meson alongside a build system that builds in-tree such as Autotools. We will accidentally pick up headers from the Autotools build over the one we just built with Meson. This is very commonly hit by people, and is a blocker for GStreamer shipping meson build files in the tarball releases. 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: #7858 breaks IterableDataset with __len__ in Trainer https://github.com/huggingface/transformers/blob/08f534d2da47875a4b7eb1c125cfa7f0f3b79642/src/transformers/trainer.py#L381-L382 This used to be (before #7858) ```python if isinstance(self.train_dataset, torch.utils.data.IterableDataset): ``` I am using IterableDataset with __len__ in Trainer. This change makes it return a sampler and results in an error later. `ValueError: DataLoader with IterableDataset: expected unspecified sampler option, but got sampler=<torch.utils.data.sampler.RandomSampler object at 0x7fa32c57b340>` Maybe change to this? ```python if (isinstance(self.train_dataset, torch.utils.data.IterableDataset) or not isinstance(self.train_dataset, collections.abc.Sized)): ``` @j-rossi-nl @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 DataDog/integrations-core codebase. Here's the problem: [apache] fix metric collection ### What does this PR do? This collects the correct data for `apache.net.bytes_per_s` and `apache.net.request_per_s`. https://www.datadoghq.com/blog/collect-apache-performance-metrics https://wiki.opennms.org/wiki/Monitoring_Apache_with_the_HTTP_collector https://httpd.apache.org/docs/current/mod/mod_status.html ### Motivation Customer encountered bug 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 for samurai (alternate ninja implementation) I'm the author of [samurai](https://github.com/michaelforney/samurai), an alternative implementation of ninja, and I'd like to see what it would take to get meson to support it. It looks like the relevant code is here: https://github.com/mesonbuild/meson/blob/cb597adb0170a4818a4950ca9a4fe3f6d5a6c9d2/mesonbuild/environment.py#L106-L119 samurai doesn't support the `--version` option, and I am hesitant to add it for several reasons. However, it seems to me that meson shouldn't need to be doing this probing at all. The version is already checked by ninja itself using `ninja_required_version` in `build.ninja`, and if the user does not have it installed, they simply won't be able to start the build. As far as I can tell, meson needs to know the ninja command for three purposes: 1. To support `ninja clean` as an alternative to `ninja -t clean`. 2. To support `ninja meson-scan-build` as an alternative to `scan-build ninja`. 3. To generate a compilation database during `build.ninja` generation. Additionally, the version in `detect_ninja` is only used in one place in `run_tests.py`, presumably to make sure it supports `-w dupbuild=err`. However, earlier ninja versions will just fail because of an unsupported option. One way to support samurai as well as any other future implementations would be to make a failure in `detect_ninja` just a warning, and in this case just omit a `clean` target. A failure in `ninja -t compdb` is already just a warning, so that could just be skipped if meson can't figure out the ninja command. Would this be acceptable? 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: Use private docker repository with K8S operator and XCOM sidecar container **Use private docker repository with K8S operator and XCOM sidecar container** An extra parameter to KubernetesPodOperator: docker_repository, this allows to specify the repository where the sidecar container is located **My company force docker proxy usage for K8S** I need to use my company docker repository, images that are not proxifed by the company docker repository are not allowed 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: Pretty printing PyPy dicts not as "dictproxy" I'm using IPython pretty printer in my plugin for running doctests with a custom representation printer. It actually works fine in CPython, but it prints all PyPy dicts as proxies. In CPython 2.7.12 a dict isn't a dictproxy, and it's well known that they appear with curly brackets: ``` python In [1]: {"this": 1, "is": "a", "test": None} Out[1]: {'is': 'a', 'test': None, 'this': 1} In [2]: import types In [3]: types.DictProxyType is dict Out[3]: False ``` But in PyPy 5.3.1 (Python 2.7.10), a dict appears as a dictproxy, and these types are actually the same w.r.t. the types module: ``` python In [1]: {"this": 1, "is": "a", "test": None} Out[1]: <dictproxy {'is': 'a', 'test': None, 'this': 1}> In [2]: import types In [3]: types.DictProxyType is dict Out[3]: True In [4]: dict.__name__ Out[4]: 'dict' In [5]: repr(_1) Out[5]: "{'this': 1, 'is': 'a', 'test': None}" ``` The last outputs suggests that the assignment to `_type_pprinters[types.DictProxyType]` in IPython.lib.pretty replaces the dict printer. Shouldn't that assignment be done with the setdefault method instead? 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] Show Conan version in HTML files When Conan generates a HTML file (`search --table`, `info --graph`), the version which generated that file is not assigned there. It can be useful for the follow cases: * When a new feature is present and the result is different from the previous, so people can distinguish that is outdated * When comparing HTML (e.g. 1.24 output x 1.25). Well we have JSON output for it, but let's say you and your co-worker are reading the HTML at same time * When CI provides a table to indicate the current packages (like internal scripts). Some possible preview (the version is before the table): ![Screenshot_2020-07-15 Conan boost 1 71 0](https://user-images.githubusercontent.com/4870173/87563284-6d09b180-c695-11ea-908a-5d9094fe3bd0.png) - [ 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 google/jax codebase. Here's the problem: Backward pass of gather needlessly allocates global memory When using a gather-type operation in the forward pass for word embeddings, the backward pass pre-allocates a constant all-zero matrix that is the same size as the embedding matrix. My current fix is: ``` --- a/jax/lax/lax.py +++ b/jax/lax/lax.py @@ -2692,7 +2692,9 @@ def _gather_transpose_rule(t, operand, s assert operand is None if t is ad_util.zero: return [ad_util.zero, ad_util.zero] - zeros = broadcast(_const(t, 0), operand_shape) + zeros = full(operand_shape, 0, dtype=t.dtype) scatter_dnums = ScatterDimensionNumbers( update_window_dims=dimension_numbers.offset_dims, inserted_window_dims=dimension_numbers.collapsed_slice_dims, ``` 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: Remove ScheduleComponent class <!-- ⚠ 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? Now that the object model has developed more clearly for pulse it is clear that the `ScheduleComponent` class is no longer necessary. We should remove this and settle on having both a `Schedule` and `Instruction` as distinct entities. A type may be defined `ScheduleComponent = Union[Schedule, Instruction]` if it is 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 Qiskit/qiskit codebase. Here's the problem: Change backend status from AVAILABLE to OPERATIONAL ### What is the expected enhancement? The new name is more accurate. 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: Add warnings when environment variables change and wont be honored We only honor most environment variables in `meson setup`, and not in `meson configure` or ninja, with #4931 that extends to pkg-config as well. We really should have a warning when we detect that those environment variables have changed and wont be honored, at least for `meson configure`. 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: [question] Is new cmake_layout compatible with cpp_info.components ? Hi, I've been using CMakeToolchain for a while with the CMake build helper that comes with it. But after updating today I saw that `CMake` build helper does not accept a `build_folder` parameter anymore. Looking at why it happened I arrived at https://github.com/conan-io/conan/pull/8554/files#diff-d72013a45b00a0adf06f4536d6a8c8844461e51b72911937d63e6dda9a3d440aR64 this means that the new way of providing the folder topology is via `def layout(self)` right? My first move was to employ the new `cmake_layout` utility, but I was unable to create a package if this one used `self.cpp_info.components` ``` ERROR: ConanException: say/0.1 package_info(): self.cpp_info.components cannot be used with self.cpp_info global values at the same time ``` Conanfile example: ``` from conans import ConanFile, CMake from conan.tools.layout import cmake_layout, LayoutPackager class Pkg(ConanFile): name = "say" version = "0.1" settings = "os", "compiler", "arch", "build_type" generators = "cmake" exports_sources = "src/*" def layout(self): cmake_layout(self) def build(self): cmake = CMake(self) cmake.configure() cmake.build() def package(self): LayoutPackager(self).package() def package_info(self): self.cpp_info.components["say"].libs = ["say"] ``` So, I am doing something wrong? Is this intended or just a bug/missing feature? Thanks! - [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 numpy/numpy codebase. Here's the problem: BUG: bizarre repr of empty dtype I doubt anyone is using this, but multiple parts of this repr are bizarre: ``` >>> np.zeros(10, np.dtype([])) array([), ), ), ), ), ), ), ), ), )], dtype='[]') ``` Thankfully not a 1.14 regression - was there in 1.13 too 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_RESULT_SERIALIZER = 'json' breaks Exception marshaling Setting `CELERY_RESULT_SERIALIZER = json` and raising an exception in the worker leads to this: ``` /path/to/lib/python2.7/site-packages/celery/result.py in get(self, timeout, propagate, interval, no_ack, follow_parents, EXCEPTION_STATES, PROPAGATE_STATES) 173 status = meta['status'] 174 if status in PROPAGATE_STATES and propagate: --> 175 raise meta['result'] 176 return meta['result'] 177 wait = get # deprecated alias to :meth:`get`. TypeError: exceptions must be old-style classes or derived from BaseException, not dict ``` where the contents of `meta['result']` are (in my case): ``` {u'exc_message': u'unknown keys: nam', u'exc_type': u'ValueError'} ``` so it _looks_ like celery could convert the dict to a real exception before raising, but it does not currently. Changing back to `pickle` works as expected. bug can be reproduced with the following: ``` python # jsonresults.py from celery.app.base import Celery CELERY_RESULT_SERIALIZER = 'json' CELERY_RESULT_BACKEND = 'amqp' app = Celery(config_source=__name__) @app.task def hello(): raise ValueError('go away') ``` worker: ``` # python -m celery --app=jsonresults:app worker ``` caller: ``` python import jsonresults jsonresults.hello.delay().get() ``` 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: conda 4.4 + zsh: conda:shift:1: shift count must be <= $# With conda 4.4.0rc1 and zsh, calling the new conda shell function with no arguments results in ``` $ conda conda:shift:1: shift count must be <= $# usage: conda [-h] [-V] command ... conda: error: argument command: invalid choice: '' (choose from 'clean', 'config', 'create', 'help', 'info', 'install', 'list', 'package', 'remove', 'uninstall', 'search', 'update', 'upgrade') ``` It's mostly an esthetic point but it would be nice if the shell error message (shift count) was not shown. 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: STORAGE: _patch_properties is never called with more than one key in the dict Should we just accept the key and value? Should we rename to `_patch_property`? 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: QTConsole completion still broken #6726 made things better, but there is still breakage, tested on git master c829e58f ``` python np.<tab> # works x=np.<tab> # works ``` but ``` python In [3]: from collections import namedtuple ...: np.<tab> # nope ...: s=np.<tab> # nope ``` doesn't trigger completion. 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: [examples/text-classification] `do_predict` for the test set of local datasets # 🚀 Feature request It seems that `run_glue.py` has the train set and the validation set management for local CSV/JSON files, but it doesn't have args for managing the test set of the local datasets. https://github.com/huggingface/transformers/blob/7a9f1b5c99e9a5d1772649d029acdf5160419239/examples/text-classification/run_glue.py#L90-L95 I think the script is intended to be used not only for the train/validation but the test, as `glue` tasks test sets are downloaded as shown in https://huggingface.co/docs/datasets/loading_datasets.html#selecting-a-configuration. It has the `--do_predict` option for the test sets. If there is no particular reason for not having the ability to read the test set in the local dataset, would it be ok for me to add the feature? Or is there some intention behind this implementation? ## Motivation I'd like to train, validate, and test my own local dataset. ## Your contribution I think some modifications like the below may help to add the feature. ``` python test_file: Optional[str] = field( default=None, metadata={"help": "A csv or a json file containing the test data."} ) ``` ``` python datasets = load_dataset( "csv", data_files={"train": data_args.train_file, "validation": data_args.validation_file, "test": data_args.test_file} ) ``` ``` python # if data_args.task_name is not None: # test_dataset = datasets["test_matched" if data_args.task_name == "mnli" else "test"] test_dataset = datasets["test_matched" if data_args.task_name == "mnli" else "test"] ``` Thank you in advance. 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 'labels' properties to job and job config classes See the [API ref](https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.labels) - Each job config class should have a writable `labels` property, taking / returning a mapping, `{str: str}`. - Each job class should have a read-only `lables` property, returning a mapping, `{str: str}`. 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: [suggestion] Add PYTHONPATH to virtualrunenv Adding PYTHONPATH would make it sufficient to activate a virtualrunenv to use python modules in conan packages that also have dynamic library dependencies. Without PYTHONPATH (as it is now) both a virtualrunenv and virtualenv needs to be activated for such python modules to work. I would like to contribute to this feature. 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: [DO NOT MERGE] Trace: pick up fixes to GAPIC generator. This PR was generated using Autosynth. :rainbow: Here's the log from Synthtool: ``` synthtool > Cloning googleapis. synthtool > Running generator for google/devtools/cloudtrace/artman_cloudtrace_v1.yaml. synthtool > Ensuring dependencies. synthtool > Pulling artman image. latest: Pulling from googleapis/artman Digest: sha256:90f9d15e9bad675aeecd586725bce48f5667ffe7d5fc4d1e96d51ff34304815b Status: Image is up to date for googleapis/artman:latest synthtool > Generated code into /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/trace-v1. synthtool > Replaced 'from google.devtools.cloudtrace_v1.proto import ' in google/cloud/trace_v1/proto/trace_pb2_grpc.py. synthtool > Running generator for google/devtools/cloudtrace/artman_cloudtrace_v2.yaml. synthtool > Ensuring dependencies. synthtool > Pulling artman image. latest: Pulling from googleapis/artman Digest: sha256:90f9d15e9bad675aeecd586725bce48f5667ffe7d5fc4d1e96d51ff34304815b Status: Image is up to date for googleapis/artman:latest synthtool > Generated code into /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/trace-v2. synthtool > Replaced 'from google.devtools.cloudtrace_v2.proto import ' in google/cloud/trace_v2/proto/tracing_pb2_grpc.py. synthtool > Replaced 'from google.devtools.cloudtrace_v2.proto import ' in google/cloud/trace_v2/proto/tracing_pb2.py. synthtool > Replaced '(^.*$\\n)*' in google/cloud/trace_v2/proto/trace_pb2.py. synthtool > Replaced '(^.*$\\n)*' in google/cloud/trace_v2/proto/tracing_pb2.py. synthtool > Replaced '(^.*$\\n)*' in google/cloud/trace_v1/proto/trace_pb2.py. synthtool > No replacements made in google/cloud/trace_v1/gapic/trace_service_client.py for pattern :: , maybe replacement is not longer needed? synthtool > Cleaned up 0 temporary directories. ``` 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: migrate_to_labels or --migrate-to-labels? #1356 introduced some uncertainty about how to convert containers to the new format. The help message says > `migrate_to_labels` Recreate containers to add labels The error message is > If you'd like compose to use this container, please run `docker-compose --migrate-to-labels` 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: IPython 5.3.0 debug mode breakpoint issue Hi IPython Team, I recently upgraded Python to version 2.7.8 (from 2.6.6) and IPython to version 5.3.0. I noticed that when using the magic command (%run -d) in IPython, subsequent runs of a program seem to fail with a "KeyError", apparently due to the debugger's failure to clear breakpoints from previous runs of the program. I attached a sample of output from one such failed run (see below), where a breakpoint that had been set at line 56 in a previous call caused the program to crash, though in the current call, only one breakpoint at line 70 is requested. For the time being, I've downgraded to IPython version 4.2.0, which seems to work as expected. Cheers, Taylor [ipython_error.txt](https://github.com/ipython/ipython/files/1004089/ipython_error.txt) 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: ability to set default job / table / dataset configs in client class The [location](https://github.com/GoogleCloudPlatform/google-cloud-python/issues/5148) is considered a global parameter (by the the BigQuery engineering team and the `bq` command-line tool), and we are tracking the feature to set a default location at https://github.com/GoogleCloudPlatform/google-cloud-python/issues/5148. There are other non-global properties where it would be useful to set a user-configurable default. For example: - Labels on jobs. It could be useful to set default labels so that folks can track more easily which jobs are getting run by which application. - `use_legacy_sql` on QueryJobConfig. Right now this defaults to standard SQL syntax, but some people might prefer to use legacy SQL for existing queries. - The `destination_encryption_configuration` in jobs and the `encryption_configuration` in tables. Maybe this one actually makes sense as a global parameter, but it's not considered on in the `bq` command-line tool. 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: Make it easier to import average_data <!-- ⚠ 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? Should be able to import `qiskit.quantum_info.analysis.average.average_data` directly from `qiskit.quantum_info` Can you help me debug this systematically and explain your reasoning?