[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: [example scripts] disambiguate language specification API Currently in example scripts like `run_seq2seq.py` we have: 1. for t5 ``` --task translation_en_to_ro --source_prefix "translate English to Romanian: " ``` 2. Also these 2: ``` --target_lang ro_RO --source_lang en_XX ``` are used only for MBart and are ignored for other models. Which means that people will unknowingly try to use these two as well when they aren't need. The problem in both situations is that we provide error-prone API where a user wants to change the language and forgets that there is more than one of the same and changes only one of the sets of languages, but not the other, which leads to broken outcome. If such an error is made the specification supplied by the user becomes ambiguous, because one can't tell which of the multiple inputs takes precedence. Proposal: There should be only one way to input a set of languages and not multiple ways. Specifically: - in case 1, probably the easiest is to leave `--task translation_en_to_ro` and auto-generate `--source_prefix "translate English to Romanian: "` - in case 2, assert if `--target_lang` or `--source_lang` are passed and the model is not MBart. Thinking more about it, case 1 is a must to solve, because if a user misses `--source_prefix` or makes a typo in it - the train/eval won't fail, but will mysteriously produce really bad outcome. This is not user-friendly. @sgugger, @patrickvonplaten, @patil-suraj 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: pep8 is dead As of version 1.7.0, [`pep8`](https://pypi.python.org/pypi/pep8) is no longer getting releases, the tool is now called [`pycodestyle`](https://pypi.python.org/pypi/pycodestyle/). Visit https://github.com/PyCQA/pep8 to see the redirect. This means we haven't had any updates since January 12, 2016. Oops. 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: QASM conversion fails when a gate is conditioned on a individual bit of a classical register ### Environment - **Qiskit Terra version**: 0.21.2 - **Python version**: 3.7.7 - **Operating system**: Mac ### What is happening? A quantum circuit with a gate conditioned on a single bit value of a classical register cannot be converted to a QASM string. ### How can we reproduce the issue? ```python q = QuantumRegister(2, 'q') c = ClassicalRegister(2, 'c') qc = QuantumCircuit(q, c) qc.h(0) qc.cx(0, 1) qc.measure(0, 0) qc.x(1).c_if(c[0], 1) print(qc) qc.qasm() ``` /opt/miniconda3/lib/python3.7/site-packages/qiskit/circuit/instruction.py in _qasmif(self, string) 438 if self.condition is None: 439 return string --> 440 return "if(%s==%d) " % (self.condition[0].name, self.condition[1]) + string 441 442 def qasm(self): AttributeError: 'Clbit' object has no attribute 'name' ### What should happen? Expect to get a QASM string ### 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 huggingface/transformers codebase. Here's the problem: Generating with Flax fails when using padding ### System Info - `transformers` version: 4.25.1 - Platform: Linux-5.10.133+-x86_64-with-glibc2.27 - Python version: 3.8.15 - Huggingface_hub version: 0.11.1 - PyTorch version (GPU?): 1.13.0+cu116 (False) - Tensorflow version (GPU?): 2.9.2 (False) - Flax version (CPU?/GPU?/TPU?): 0.6.2 (cpu) - Jax version: 0.3.25 - JaxLib version: 0.3.25 - Using GPU in script?: No - Using distributed or parallel set-up in script?: No ### Who can help? @patil-suraj, @patrickvonplaten, @LysandreJik ### Information - [X] The official example scripts - [ ] My own modified scripts ### Tasks - [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction Generation with GPT-2 and OPT doesn't work when using padding token. Specifically, the issues are 1. In GPT-2, using builtin |endoftext| as pad token works with padding, but using customized token <|pad|> doesn't work, the generation only repeats `!`, e.g., `<|pad|> My cat is cute!!!!!!!!!!!!!!!`. 2. In GPT-2, despite pad_token_id is optional in generate() function, one has to provide pad_token_id=tokenizer.pad_token_id otherwise error. 3. In OPT, even using builtin <pad> token as padding token doesn't work, the generation only repeats `<s>`, e.g., `<pad></s>My cat is cute<s><s><s><s><s><s><s><s><s><s><s><s><s><s>`. The colab to reproduce the problems 1-3 is [here](https://colab.research.google.com/drive/1pcwTRU3snLjz8wTJx_Z5t4Z7IXnxHnDI?usp=sharing). A related issue to problem 2 is #18884. ### Expected behavior Expect the generation works with padding. E.g., `<pad></s>My cat is super cute and I love her so much. I love her so much. I love`. 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 default location to Client It is potentially quite cumbersome to pass in a `location` parameter to nearly every API request method. It would be nice to set a default `location` when you create a client to be used when creating datasets or jobs. 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: Add more agent API docs We should add more agent examples + descriptions of use at the top of each individual API reference page (https://docs.prefect.io/api/unreleased/agent/agent.html) 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: Ctrl-C on `docker-compose up` raises thread.error I get this intermittently (sometimes it does shutdown gracefully): ``` ^CGracefully stopping... (press Ctrl+C again to force) Stopping dailylead_db_1... Stopping dailylead_queue_1... Traceback (most recent call last): File "<string>", line 3, in <module> File "/Users/ben/fig/build/fig/out00-PYZ.pyz/fig.cli.main", line 39, in main File "/Users/ben/fig/build/fig/out00-PYZ.pyz/fig.cli.docopt_command", line 21, in sys_dispatch File "/Users/ben/fig/build/fig/out00-PYZ.pyz/fig.cli.command", line 30, in dispatch File "/Users/ben/fig/build/fig/out00-PYZ.pyz/fig.cli.docopt_command", line 24, in dispatch File "/Users/ben/fig/build/fig/out00-PYZ.pyz/fig.cli.command", line 47, in perform_command File "/Users/ben/fig/build/fig/out00-PYZ.pyz/fig.cli.docopt_command", line 27, in perform_command File "/Users/ben/fig/build/fig/out00-PYZ.pyz/fig.cli.main", line 316, in up File "/Users/ben/fig/build/fig/out00-PYZ.pyz/fig.cli.log_printer", line 20, in run File "/Users/ben/fig/build/fig/out00-PYZ.pyz/fig.cli.multiplexer", line 20, in loop File "/Users/ben/fig/build/fig/out00-PYZ.pyz/Queue", line 182, in get thread.error: release unlocked lock ``` 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: WARNING: Unknown CPU family 'sparc', please report this Using meson/ninja for Buildroot [1] builds, e.g. with the provides sparc toolchain [2]. [1] https://buildroot.org/ [2] http://autobuild.buildroot.org/toolchains/tarballs/br-sparc-uclibc-2017.11-rc1.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 conan-io/conan codebase. Here's the problem: [bug] Profile detect selects wrong default compiler on FreeBSD ### Environment details `conan profile detect` when both `gcc` and `clang` installed, `gcc` is selected, while `FreeBSD` actually uses `clang` as core/standard compiler. ### Steps to reproduce _No response_ ### Logs _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 mesonbuild/meson codebase. Here's the problem: Support for clang-tidy (or other linters) CMake has support for additional linting by clang-tidy: http://www.mariobadr.com/using-clang-tidy-with-cmake-36.html I was wondering if something like this could be done for Meson, so that header dependencies etc. still work. 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: CUDA OOM when loading optimizer state dict ### System Info I am finetuning GPT NEO 1.3B with 1 GPU and 24GB VRAM. From scratch, model weights load and train fine with <1GB of memory to spare. When loading from checkpoint, I run into issues loading optimizer states. https://github.com/huggingface/transformers/blob/04bfac83b793b757e7b33188f88eebe21ac65ef7/src/transformers/trainer.py#L2434-L2436 If I hard-code `map_location ='cpu'`, the OOM goes away and I am able to resume training. After some reading, this was caused by the optimizer state dict being associated with 'gpu:0' at the time of checkpoint saving. I also found another ticket adding device logic to `map_location=self.args.device` in the first place due to CPU OOM for the PR author. I was wondering if the interface needs to be change in order to accommodate both use cases. ### Who can help? _No response_ ### Information - [ ] The official example scripts - [ ] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction see above. Otherwise from using run_clm.py from the repo without deepspeed. ### Expected behavior Resume from checkpoint should fit in the same vram footprint as finetune from scratch. 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: GPT Neo for Sequence Classification Hi, Is there a way to use GPT Neo for classification tasks like BoolQ ? As 'OpenAI GPT2' integration of HF has 'GPT2ForSequenceClassification', is there a similar one for GPT Neo? 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: Dead links Using pytest-check-links: ``` C:\dev\jupyterlab [master ≡]> py.test --check-links -k .md . ============================= test session starts ============================= platform win32 -- Python 3.5.2, pytest-3.0.6, py-1.4.32, pluggy-0.4.0 rootdir: C:\dev\jupyterlab, inifile: pytest.ini plugins: tornado-0.4.5, timeout-1.2.0, cov-2.4.0, nbval-0.4.1, check-links-0.0.3.dev4 collected 121 items CONTRIBUTING.md .......F.. README.md ...................... RELEASE.md .. design\about.md . tutorial\adding_content.md ...F tutorial\documents.md F......... tutorial\examples.md .. tutorial\labextensions.md F. tutorial\notebook.md .................. tutorial\patterns.md .. tutorial\plugins.md ............... tutorial\repo.md . tutorial\virtualdom.md .. ================================== FAILURES =================================== ___ C:\dev\jupyterlab\CONTRIBUTING.md: http://jupyter.github.io/jupyterlab/ ___ http://jupyter.github.io/jupyterlab/: HTTP Error 404: Not Found ________ C:\dev\jupyterlab\tutorial\adding_content.md: documents.html _________ documents.html: No such file: C:\dev\jupyterlab\tutorial\documents.html ____________ C:\dev\jupyterlab\tutorial\documents.md: plugins.html ____________ plugins.html: No such file: C:\dev\jupyterlab\tutorial\plugins.html __________ C:\dev\jupyterlab\tutorial\labextensions.md: plugins.html __________ plugins.html: No such file: C:\dev\jupyterlab\tutorial\plugins.html ============================= 30 tests deselected ============================= ============= 4 failed, 87 passed, 30 deselected in 40.90 seconds ============= ``` The last three are probably ok(?), but the first one is properly broken. 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: show() blocks in pylab mode with ipython 0.10.1 After updating to ipython 0.10.1 on 64-bit Linux, I noticed that plotting commands no longer automatically display anything when ipython is started with the -pylab option. Moreover, the show() command now appears to block in pylab mode. I don't have any local ~/.matplotlib/matplotlibrc file installed. 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: Silent error when calling datastore.put() on nonlist Repro instructions: ``` ent = datastore.Entity(key=datastore.Key('test',1)) datastore.put(ent) ``` Entity is not put in the datastore, and call completes successfully. 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: Backslash (\) at the end of the line behavior different from default Python Quite often, I miss the Enter/Return key and press `\`. In regular Python, I can enter two newlines, and the expression will be evaluated, like ``` py >>> 1\ ... 1 ``` But in IPython, no amount of newlines will terminate it. And if I do finally terminate it by entering a `;`, the output is not printed (also different from Python). ``` py In [1]: 1\ ...: ...: ...: ...: ...: ; In [2]: ``` ``` py >>> 1\ ... ; 1 ``` Is this an intended feature caused by some more advanced multiline editing capabilities of IPython, or just a bug? Backslash (\) at the end of the line behavior different from default Python Quite often, I miss the Enter/Return key and press `\`. In regular Python, I can enter two newlines, and the expression will be evaluated, like ``` py >>> 1\ ... 1 ``` But in IPython, no amount of newlines will terminate it. And if I do finally terminate it by entering a `;`, the output is not printed (also different from Python). ``` py In [1]: 1\ ...: ...: ...: ...: ...: ; In [2]: ``` ``` py >>> 1\ ... ; 1 ``` Is this an intended feature caused by some more advanced multiline editing capabilities of IPython, or just a 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: add includedir or dependencies to has_header I need to check if `boost/numeric/odeint/external/eigen/eigen_algebra.hpp` is there. Tried to debug: ``` cpp #include<boost/numeric/odeint/external/eigen/eigen_algebra.hpp> int someSymbolHereJustForFun; ``` /usr/include/boost/numeric/odeint/external/eigen/eigen_algebra.hpp:21:23: fatal error: Eigen/Dense: No such file or directory I also need pass `pkg-config --cflags eigen3` 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 mangles unicode characters This occurs in IJulia, but I've checked the ZMQ message boundary so I think it probably happens somewhere between the browser and before it hits the kernel. When entering a high unicode character (such as U+1D712) it arrives at the kernel as ``` 6-element Array{Uint8,1}: 0xed 0xa0 0xb5 0xed 0xbc 0x92 ``` rather than the expected ``` 4-element Array{Uint8,1}: 0xf0 0x9d 0x9c 0x92 ``` . Now, in julia we do our best to retain invalid unicode data which gives the effect that if you print the above again it prints correctly in the browser. I assume somewhere in the software stack there's an encoding that's not quite UTF8, though it does convert back, so that's nice. I also checked that printing the proper UTF8 character shows up correctly in the browser. Now, this might be a browser issue, but I checked that it is set to UTF8 and it happens in Firefox and Safari as well and when I paste it out into a texteditor I get the proper UTF8 character. Let me know if there's anything I can do to help investigate. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Two copies of is_context_provided in the code base ### Dagster version main ### What's the issue? There are two copies of `is_context_provided` in the codebase. One is there focused on type correctness in python_modules/dagster/dagster/_core/decorator_utils.py. However there is another one which actually inspects the name of the parameters to ensure that they are valid context names in `python_modules/dagster/dagster/_core/definitions/decorators/solid_decorator.py` These should be reconciled and have standardized behavior. If two functions are different, they should be named differently and documented. ### What did you expect to happen? _No response_ ### How to reproduce? _No response_ ### Deployment type None ### Deployment details _No response_ ### Additional information _No response_ ### Message from the maintainers Impacted by this issue? Give it a 👍! We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: [1.15.0] Nested extends cause services to not be discovered It seems 1.15 re-introduced something that was fixed before in https://github.com/docker/compose/issues/2719 - Downgrading to 1.14 "fixes" this issue. 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: Bigtable Cluster.create() does not send location [Only][1] `serve_nodes` is used in the payload: ```python return messages_v2_pb2.CreateClusterRequest( parent=cluster._instance.name, cluster_id=cluster.cluster_id, cluster=data_v2_pb2.Cluster( serve_nodes=cluster.serve_nodes, ), ) ``` [1]: https://github.com/GoogleCloudPlatform/google-cloud-python/blob/08021bd85df19d073b33412dbd4ff4dbc8be008d/bigtable/google/cloud/bigtable/cluster.py#L51-L54 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: min_max log_gpu_memory option bug **Describe the bug** Setting `log_gpu_memory='min_max'` in `Trainer` leads to the following bug. ``` Traceback (most recent call last): File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 347, in fit self.single_gpu_train(model) File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/dp_mixin.py", line 79, in single_gpu_train self.run_pretrain_routine(model) File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 467, in run_pretrain_routine self.train() File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/train_loop_mixin.py", line 60, in train self.run_training_epoch() File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/train_loop_mixin.py", line 126, in run_training_epoch self.log_metrics(batch_step_metrics, grad_norm_dic) File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/logging_mixin.py", line 20, in log_metrics mem_map = memory.get_memory_profile(self.log_gpu_memory) File "/opt/conda/lib/python3.7/site-packages/pytorch_lightning/root_module/memory.py", line 205, in get_memory_profile for k, v in memory_map: ValueError: too many values to unpack (expected 2) ``` **To Reproduce** On current master, execute the following. ``` trainer = Trainer( ... log_gpu_memory='min_max', ... ) trainer.fit(model) ``` **Expected behavior** Log the min/max utilization of gpu memory, as `min_max` option is documented. **Desktop (please complete the following information):** - OS: Ubuntu 18.04 - Version: Current master I am working on this issue. Will submit a PR soon. 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: Efficient implementation of exp(iHt) for an arbitrary hermitian matrix H <!-- ⚠ 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? Given a Hermitian matrix H and a time t, 1. Find a decomposition of H into H_1,H_2,...H_m such that H = H_1+...+H_m and such that we know the circuits for each exp(iH_j t) (e.g. a decomposition into 1-sparse matrices) 2. Approximate exp(iHt) via a Trotter/Suzuki product of the exp(iH_j t)'s At the moment the only possibility is via `qc.unitary((t*MatrixOp(H)).exp_i(),q)`, but this approach would kill the quantum advantage achieved by algorithms that run in polylog(N), where H is an NxN matrix. This enhancement is required for the HHL refactoring. References [1] Detailed explanation of the method: https://arxiv.org/pdf/quant-ph/0209131.pdf [2] An implementation of Step 1. from Qiskit Camp Asia 2019: https://github.com/martian17/qiskit-graph-coloring-hamiltonian Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Remove 'user_id', 'role_id' from User and Role in OpenAPI schema Would be good to remove the 'id' of both User and Role schemas from what is dumped in REST API endpoints. ID of User and Role table are sensitive data that would be fine to hide from the endpoints 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: GPT NeoX Input docstring includes token_type_ids but GPTNeoXModel does not have token_type_ids as an input to forward ### System Info n/a ### Who can help? @ArthurZucker @younesbelkada ### Information - [X] The official example scripts - [ ] My own modified scripts ### Tasks - [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction Go to https://huggingface.co/docs/transformers/main/en/model_doc/gpt_neox#transformers.GPTNeoXModel and see that forward does not include token_type_id but it is shown in the docstring ### Expected behavior Docstring should match forward 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: mapping from Euler angles to quaternions in mapper <!-- ⚠ 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? To fix some of the mapper i going to change the 1q optimization from euler angles to quaternions and it should fix the mapper issues that keep getting brought up. This is a low priority as most times it works but the correct way to do it is quaternions. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Conan lockfile keeps changing Every time I run `conan graph lock ...`, the lockfile is re-written. The core content hasn't changed, but hashes are regenerated and sometimes the order of the nodes changes. This makes it an awful pain to store that lockfile in the VCS repository. Am I doing something wrong? Is there a workflow change I need to make? An option that can be added to lock command? Is this a bug? - [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 huggingface/transformers codebase. Here's the problem: deepspeed typing Dict error ### System Info - `transformers` version: 4.32.0.dev0 - Platform: Linux-5.10.179-171.711.amzn2.x86_64-x86_64-with-glibc2.26 - Python version: 3.9.16 - Huggingface_hub version: 0.15.1 - Safetensors version: 0.3.1 - Accelerate version: 0.22.0.dev0 - Accelerate config: not found - PyTorch version (GPU?): 2.0.1+cu118 (True) - Tensorflow version (GPU?): not installed (NA) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: <fill in> - Using distributed or parallel set-up in script?: <fill in> ### Who can help? @sgugger ### Information - [X] The official example scripts - [ ] My own modified scripts ### Tasks - [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction Right now any command with `--deepspeed /path/to/json` will fail and throw the following error ``` --deepspeed: invalid Dict value ``` This is reported in https://github.com/huggingface/transformers/pull/24549#issuecomment-1613046347 but the merged fix https://github.com/huggingface/transformers/pull/24574 does not resolve this. In fact the `deepspeed: Union[str, Dict]` field in `training_args.py` still raise the error when the `deepspeed` is passed as the string. This seems to be a limitation of python dataclass. ### Expected behavior `deepspeed` flag should support string. 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: Compare compiler.cppstd version (#4943) Extends `conans.tools.Version` to support `settings.compiler.cppstd`: ``` def configure(self): if Version(self.settings.compiler.cppstd) < "gnu17": ... ``` `Version` from `model.version` was not affected. Changelog: Feature: Compare compiler.cppstd version (#4943) Docs: https://github.com/conan-io/docs/pull/1440 closes #4943 - [x] Refer to the issue that supports this Pull Request. - [x] If the issue has missing info, explain the purpose/use case/pain/need that covers this Pull Request. - [x] I've read the [Contributing guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've followed the PEP8 style guides for Python code. - [x] I've opened another PR in the Conan docs repo to the ``develop`` branch, documenting this one. <sup>**Note:** By default this PR will skip the slower tests and will use a limited set of python versions. Check [here](https://github.com/conan-io/conan/blob/develop/.github/PR_INCREASE_TESTING.md) how to increase the testing level by writing some tags in the current PR body text.</sup> 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: Change NewNotebook handler to use 30x redirect rewriting [the url for new notebooks](https://github.com/ipython/ipython/blob/master/IPython/frontend/html/notebook/static/js/savewidget.js#L127) seem to cause problem with jQuery tabs (#2206). I propose to change the NewNotebook handler to send a redirect 302 with the URL of the new notebook. 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: NoPackagesFound does not work correctly for missing recursive dependencies 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: Gamma sample gradients has incorrect dtype in x64 mode The following snippet of code fails in JAX: ``` import jax import jax.numpy as jnp import jax.random as jaxrand jax.config.update('jax_enable_x64', True) key = jaxrand.PRNGKey(0.) a = jnp.array(1., dtype=jnp.float32) b = jnp.array(3., dtype=jnp.float32) f = lambda x, y: jaxrand.gamma(key=key, a=x, dtype=jnp.float32) / y y, f_vjp = jax.vjp(f, a, b) ``` with ``` TypeError: body_fun output and input must have identical types, got (ShapedArray(float32[]), ShapedArray(float32[]), ShapedArray(float64[]), ShapedArray(bool[])) and (ShapedArray(float32[]), ShapedArray(float32[]), ShapedArray(float32[]), ShapedArray(bool[])) ``` Some dtype information is being lost along the way. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add support for gcd local development server Right now, there doesn't appear to be any support for the [datastore local development server gcd](https://cloud.google.com/datastore/docs/tools/devserver). For instance, the usage instructions tell you to set the dataset id in the environment variable `DATASTORE_DATASET` but gcloud-python doesn't appear to look for that in the `set_default_dataset_id()` function. 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: creating network with defined ipam subnet is slow Whenever I define a subnet for a network, `docker-compose up` is really slow, and seems to wait for ± 15 seconds on creating the network. example config: ``` networks: default: ipam: config: - subnet: 172.17.0.0/28 ``` It doesn't matter what the network is called, or what the subnet actually is, and it doesn't conflict with anything. If I define multiple networks, creating each network takes about 15 seconds. PoC: https://github.com/ComaVN/docker-compose-network-slow ``` $ docker-compose --version docker-compose version 1.11.2, build dfed245 ``` ``` $ docker version Client: Version: 17.09.0-ce API version: 1.32 Go version: go1.8.3 Git commit: afdb6d4 Built: Tue Sep 26 22:42:18 2017 OS/Arch: linux/amd64 Server: Version: 17.09.0-ce API version: 1.32 (minimum version 1.12) Go version: go1.8.3 Git commit: afdb6d4 Built: Tue Sep 26 22:40:56 2017 OS/Arch: linux/amd64 Experimental: false ``` ``` $ lsb_release -a LSB Version: core-9.20160110ubuntu0.2-amd64:core-9.20160110ubuntu0.2-noarch:security-9.20160110ubuntu0.2-amd64:security-9.20160110ubuntu0.2-noarch Distributor ID: Ubuntu Description: Ubuntu 16.04.3 LTS Release: 16.04 Codename: xenial ``` 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 of Qt6 import Hi, Qt6 RC is out, it would be nice to add the support of this version to meson. 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: Extend iOS version in settings.yml Hi, could you please update settings for iOS? The newest version in settings.yml for iOS is 13.1. From [here](https://en.wikipedia.org/wiki/IOS_version_history) you can see that there are newer versions. I have to use 13.2 and this is not problem to edit locally my settings.yml, but if I do it all my clients have to do the same work. Br, Tomasz 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 jupyterlab/jupyterlab codebase. Here's the problem: Unpin tornado dependency #6123 rolled back our dependency on `notebook` due to some upstream issues with async kernel starts (or possibly tornado 6). We need to identify and fix these issues before making a release. Edit: we have resolved the immediate issue with notebook in 5.7.8, but issues with tornado 6 remain. Failing tests seen as passing In running tests, I see a few logs like: ``` @jupyterlab/test-docregistry: PASS src/mimedocument.spec.ts @jupyterlab/test-docregistry: ● Console @jupyterlab/test-docregistry: console.error ../../node_modules/@phosphor/signaling/lib/index.js:220 @jupyterlab/test-docregistry: AssertionError { @jupyterlab/test-docregistry: message: "expected '' to equal 'bar'", @jupyterlab/test-docregistry: showDiff: true, @jupyterlab/test-docregistry: actual: '', @jupyterlab/test-docregistry: expected: 'bar' } ``` I think what is going on is that a test like this: https://github.com/jupyterlab/jupyterlab/blob/c31b311fdc3503d67b843ef17b9d53e3bfdd2473/tests/test-docregistry/src/mimedocument.spec.ts#L115-L118 is actually failing, but the signal mechanism is catching the failure and printing the error to console, and the test as a whole is being seen as passing. 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: pkgconfig add URL parameter Hello, I have tried to add URL to pkg.generate in: ``` python pkg = import('pkgconfig') libs = ... # the library/libraries users need to link against h = ['.', ...] # subdirectories of ${prefix}/${includedir} to add to header path pkg.generate(libraries : libs, subdirs : h, version : '1.0', name : 'libsimple', filebase : 'simple', description : 'A simple demo library.') ``` but there is error, so it seems that isn't supported yet ? Any help appreciated 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: DOC: Clarify that `np.array` can be 0-dimensional ## Documentation From the docstring of `np.array`, its only positional argument is: > An array, any object exposing the array interface, an object whose __array__ method returns an array, or any (nested) sequence. From such a description, it is surprising that one can do things like `np.array(1)` (I guess this is done to support 0D arrays). 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: Bug in np.eye. As suggested, it seems like np.eye broke at some point. To repro try, `np.allclose(onp.eye(N), np.eye(N))`. Upon closer inspection, it seems like this only kicks in at large N. Try e.g. 5000. 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: gate dimension mismatch not detected <!-- ⚠ 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? The following code should throw an error, because it's trying to append a 3 qubit initializer to 2 qubits. But it does not raise. ```python random_state = [ 1 / math.sqrt(4) * complex(0, 1), 1 / math.sqrt(8) * complex(1, 0), 0, 1 / math.sqrt(8) * complex(1, 0), 1 / math.sqrt(8) * complex(0, 1), 0, 1 / math.sqrt(4) * complex(1, 0), 1 / math.sqrt(8) * complex(1, 0)] qc = QuantumCircuit(qr) qc.initialize(random_state, qr[0:2]) ``` In stable this works as expected, so probably an issue with the recent append PR. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Tokenizer.encode documentation not correct # 🐛 Bug ## Information Model I am using Bert (bert-base-german-cased): Language I am using the model on German: The problem arises when using: * tokenizer of this model The tasks I am working on is: * encoding ## To reproduce Steps to reproduce the behavior: 1. lang_model = 'bert-base-german-cased' 2. tokenizer = BertTokenizer.from_pretrained(lang_model) 3. test_sentence = 'Das war gut' 4. tokenizer.encode(test_sentence) output: [3, 295, 185, 1522, 4] 5. tokenizer.convert_tokens_to_ids(tokenizer.tokenize(test_sentence)) output: [295, 185, 1522] ## Expected behavior According to the documentation of the encoding method in https://huggingface.co/transformers/main_classes/tokenizer.html these two outputs should be the same. The problem is, that the _encode_ method adds special tokens [CLS] and [SEP] at the beginning and the end. However, the transformation in line 5. does not. This is not a problem at all but one should consider correcting the online-documentation. That is, the hint **Same as doing self.convert_tokens_to_ids(self.tokenize(text))** in the encode method is misleading. Instead, one could also add, that these two commands are the same if _add_special_tokens_ is set _False_ in the _encode_ method. ## Environment info - `transformers` version: 2.8.0 - Platform: Windows 10 - Python version: 3.8.3 - PyTorch version (GPU?): 1.5.0+cpu - Tensorflow version (GPU?): None - Using GPU in script?:No - Using distributed or parallel set-up in script?:No 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: Allow `python -m IPython` Is there any reason why we don't allow IPython to be run as a module as in `python -m IPython`? I'd expect the behavior to be the same as running `ipython.py` or the current: ``` sh $ python -m IPython.frontend.terminal.ipapp ``` 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: local mathjax install doesn't work Hi, the command line provided in the popup when using mathjax offline doesn't work: from IPython.external import mathjax; mathjax.install_mathjax() the url is out of date: HTTPError: HTTP Error 500: Internal Server Error Downloading mathjax source from https://github.com/mathjax/MathJax/tarball/v2.2 x. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Improve an error message in qiskit.converters.circuit_to_gate() <!-- ⚠ 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? Let's assume we have `QuantumCircuit` object called `qc`, and one tries to convert it into a `Gate` object using `qiskit.converters.circuit_to_gate()`. If `qc` contains some instructions which cannot be converted into `Gate`, the following exception is raised ``` QiskitError: 'One or more instructions in this instruction cannot be converted to a gate' ``` My suggestion is to improve this error message and add some info about the particular instruction preventing the convertion from happening. I believe, something like the instruction name in the error message should be more helpfull, than the current general statement. Below is a code snippet (for a `qc` containing a measurement operation) which can be used to achieve the error mentioned above ``` from qiskit import QuantumCircuit from qiskit.converters import circuit_to_gate qc = QuantumCircuit(1, 1) qc.h(0) qc.measure(0, 0) gate = circuit_to_gate(qc) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Add `ElectraForCausalLM` to enable constructing Electra-based `EncoderDecoderModel` # 🚀 Feature request Add `ElectraForCausalLM` model to enable constructing `EncoderDecoderModel` based on Electra. ## Motivation Currently, there are many encoder-only models, such as BERT or RoBERTA, which have already been supported for encoder-decoder settings. Even though Electra is pre-trained in a different fashion, I found out the fine-tuning an Electra2Electra model works as well. Also, there are publicly available checkpoints for a small configuration of the model and thus one can try to train a model which is an order of magnitude smaller than e.g. Bert2Bert or RoBERTa2RoBERTa. ## Your contribution I have already prepared an implementation for myself. If there's a desire to add this module I'll be happy to work on the PR. :] Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: stdout/stderr should be flushed printing exception output... ![screen shot 2013-07-19 at 3 49 18 pm](https://f.cloud.github.com/assets/15093/829042/8fab0872-f0c5-11e2-95f7-b373e1e2eff6.png) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: meson claims Unknown compiler(s): ['c++', 'g++', 'clang++', 'pgc++', 'icpc'] This is kinda weird: I have a very small dummy meson.build which errors out with: > meson.build:7:0: ERROR: Unknown compiler(s): ['c++', 'g++', 'clang++', 'pgc++', 'icpc'] Whereas it's correct I don't have any of those compilers on my system, there is also no indication in my meson.build that this would be needed. The sample meson.build is: ``` project('sample', 'c', version: '1.0.0', meson_version: '>= 0.47', ) dep = dependency('doesnotexist', required: false) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: [notebook]user needs to press ctrl-c twice to stop notebook server should be put into terminal window See attached screenshot, "Use Control-C to stop this server" should be changed to "Press Control-C twice to stop this server". The document for this new feature was hidden in release notes of 3.0. It's not noticeable. ![Image 1](https://f.cloud.github.com/assets/3401968/186510/33101b98-7d2f-11e2-9d63-03161d660115.png) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: [Firestore] Query.get returns incorrect type Query.get returns an Array of DocumentSnapshots, not a QuerySnapshot. QuerySnapshot are a requirement for Watch. 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: deprecate scalar conversions for rank>0 arrays Numpy allows for conversion of arrays into scalars if they are size-1, i.e., ```python float(numpy.array(1.0)) # 1.0 float(numpy.array([1.0])) # 1.0 float(numpy.array([[[[1.0]]]])) # 1.0 # TypeError: only size-1 arrays can be converted to Python scalars float(numpy.array([1.0, 1.0])) ``` I'm fine with rank-0 conversions, but I found that discrimination of conversion based on array size can easily lead to inconsistencies downstream. See, for example, https://github.com/sympy/sympy/issues/13924 where suddenly you have a different behavior of multiplication depending on the length of the input array. Moreover, this feature is actually redundant for rank>0 arrays since the value can simply be retrieved from the array via `x[0]`. When grepping for `"converted to Python scalar"` in the numpy sources, one finds that `numpy/lib/user_array.py` has ``` "only rank-0 arrays can be converted to Python scalars." ``` which seems to be the more consistent solution. I would hence like to suggest to deprecate scalar conversion for rank>0 size-1 arrays. 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: VQD `optimal_values` result field is incorrect VQD result object has these fields https://github.com/Qiskit/qiskit-terra/blob/c463b3c4741c7532494a583633d2798352fc828e/qiskit/algorithms/eigensolvers/vqd.py#L468-L470 the field `optimal_values` is incorrectly populated with points not values https://github.com/Qiskit/qiskit-terra/blob/c463b3c4741c7532494a583633d2798352fc828e/qiskit/algorithms/eigensolvers/vqd.py#L445-L451 This can be seen in [VQD tutorial](https://qiskit.org/documentation/tutorials/algorithms/04_vqd.html) where it says it will print 3 energy values, but instead it's 3 lists ![image](https://github.com/Qiskit/qiskit-terra/assets/40241007/46526f26-bf5a-405a-96e4-c0feb7395d34) See Qiskit/qiskit-tutorials#1471 which was to fix the deprecation and I had wondered why the change from using optimal_values as the output from what was checked in seemed fine. The above when its run from the latest VQD, as published out as html, is not though - so something changed since that was ran originally - hence this issue. 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: alembic Logging ### Apache Airflow version 2.5.3 ### What happened When I call the airflow initdb function, it outputs these lines to the log INFO [alembic.runtime.migration] Context impl PostgresqlImpl. INFO [alembic.runtime.migration] Will assume transactional DDL. ### What you think should happen instead There should be a mechanism to disable these logs, or they should just be set to WARN by default ### How to reproduce Set up a new postgres connection and call: from airflow.utils.db import initdb initdb() ### Operating System MacOS ### Versions of Apache Airflow Providers _No response_ ### Deployment Virtualenv installation ### Deployment details _No response_ ### Anything else _No response_ ### Are you willing to submit PR? - [X] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: plot_bloch_multivector should have most significant qubit on the left <!-- ⚠ 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? Since the standard ordering of qubits for a multiqubit state is most significant (left) to least significant (right), the multivector Bloch sphere output should respect the same order. For example, in the sample shown by the API documentation, qubit 1 should be on the left and qubit 0 on the right. https://qiskit.org/documentation/stubs/qiskit.visualization.plot_bloch_multivector.html 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: PRNG performance regression on XLA:GPU This is the public version of the internal bug b/140251596. We think the new way we lower `lax.while_loop` to the While HLO (where we generate a `Call` for convenience) caused a big performance regression for PRNGs on GPU. EDIT: it turns out that avoiding the `Call`s didn't help: it was a rolled vs unrolled loops thing, cf #1175. More commentary below and in #1269. 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: Consider allowing storage.bucket.Bucket.delete_key to silently fail if user requests it From TODO: ``` python # TODO: Should we accept a 'silent' param here to not raise an exception? ``` See [`storage.bucket.Bucket.delete_key`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/bucket.py#L158) for relevant code and #146 for some context. `git blame` output ``` b7f1b774 (JJ Geewax 2014-01-29 18:02:29 -0500 158) # TODO: Should we accept a 'silent' param here to not raise an exception? ``` Consider allowing storage.bucket.Bucket.delete_key to silently fail if user requests it From TODO: ``` python # TODO: Should we accept a 'silent' param here to not raise an exception? ``` See [`storage.bucket.Bucket.delete_key`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/bucket.py#L158) for relevant code and #146 for some context. `git blame` output ``` b7f1b774 (JJ Geewax 2014-01-29 18:02:29 -0500 158) # TODO: Should we accept a 'silent' param here to not raise an exception? ``` 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: Proposal: Create new `ClientFailed` state This state will be a new `MetaState` which Tasks can enter into whenever `client.set_state` fails. This is designed specifically for the following situation: imagine a Flow with two tasks: Task A -> Task B. Task B has an `all_failed` trigger. Task A requests retries. Task A tries to run but an error is raised; Task A enters a Failed state first, but for _some reason_ Task A fails to set its state in Cloud. This produces an `ENDRUN` signal and Task A _ends in a `Failed` state_. Task B now sees this and runs successfully. I don't think this is intended behavior. If instead, a bad client call produced a `ClientFailed` meta state which: - is not considered finished - _wraps_ the previous state We could avoid the incorrect execution of Task B. **cc:** @jlowin 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: unique and NaN entries (Trac #1514) _Original ticket http://projects.scipy.org/numpy/ticket/1514 on 2010-06-18 by trac user rspringuel, assigned to unknown._ When unique operates on an array with multiple NaN entries its return includes a NaN for each entry that was NaN in the original array. Examples: a = random.randint(5,size=100).astype(float) > > > a[12] = nan #add a single nan entry > > > unique(a) > > > array([ 0., 1., 2., 3., 4., NaN]) > > > a[20] = nan #add a second > > > unique(a) > > > array([ 0., 1., 2., 3., 4., NaN, NaN]) > > > a[13] = nan > > > unique(a) #and a third > > > array([ 0., 1., 2., 3., 4., NaN, NaN, NaN]) This is probably due to the fact that x == y evaluates to False if both x and y are NaN. Unique needs to have "or (isnan(x) and isnan(y))" added to the conditional that checks for the presence of a value in the already identified values. I don't know were unique lives in numpy and couldn't find it when I went looking, so I can't make the change myself (or even be sure what the exact syntax of the conditional should be). Also, the following function can be used to patch over the behavior. def nanunique(x): a = numpy.unique(x) r = [] for i in a: if i in r or (numpy.isnan(i) and numpy.any(numpy.isnan(r))): continue else: r.append(i) return numpy.array(r) 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: `sorted_return_tasks` should be implemented in `Flow.run` It's only for pretty printing and thus should be implemented in `Flow.run()`; having it implemented in `FlowRunner.run()` is causing weird bugs / requiring too much logic to be maintained 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: Enable any ML experiment tracking framework People seem to have strong preferences for either using MLFlow, test-tube, polyaxon, etc... Let's just add generic support for whatever people want to use. I don't know if generic support is possible, but each can easily be supported individually. To make this work we'd need to: - change the logging to be non test-tube specific. Logging only happens in 2 places (train and validation completion). - Each call to log needs to be process-safe. Meaning when using distributed only rank=0 will log. - the experiment param in Trainer will need to be generalized (signature the same), to take any logger. I think that's all that's needed to add this support. Any suggestions and takers for working on this integration? @Borda @alok 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: Extract 7z archives `conans.tools.unzip` supports `.zip` and `.tar.*`s as far as I can see. It would be nice if `.7z` would be supported also, as it usually compresses much better. Boost is 131 MB (`.zip`) vs 71 MB (`.7z`) for example (http://sourceforge.net/projects/boost/files/boost/1.60.0/). 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 PrefectHQ/prefect codebase. Here's the problem: Docker storage cannot locate Dockerfile with relative path on windows OS ## Description When calling `flow.register()` using a Docker storage configuration that uses a Dockerfile (and not a base Docker image) on windows OS, there is an APIError ``` Exception has occurred: APIError 500 Server Error: Internal Server Error ("Cannot locate specified Dockerfile: .\tmpp4mionwm\Dockerfile") File "C:\tmp\prefect-bug\demo.py", line 24, in <module> flow.register() ``` After some digging, I observed that `prefect.environments.storage.docker._build_image()` creates a temporary directory that it uses for the Docker build context. However, Docker's `build()` function is unable to find this path. Pausing execution and updating the path to an absolute path resolves the issue. ![image](https://user-images.githubusercontent.com/23650/79249954-3eccc980-7e3b-11ea-8fc2-39ed500406d3.png) ## Expected Behavior I expected the flow's storage to be built without error, and for the flow to be registered with the server. ## Reproduction ``` from prefect import task, Flow from prefect.environments.storage import Docker import prefect DOCKERFILE = """ FROM python:3.7 RUN echo "hello" """ with open('Dockerfile', 'w') as file: file.write(DOCKERFILE) @task def hello(): print('hello') with Flow('demo') as flow: task() flow.storage = Docker( dockerfile='Dockerfile' ) flow.register() ``` ## Environment Windows 10 operating system Prefect 10.1 { "config_overrides": { "cloud": { "use_local_secrets": true }, "context": { "secrets": false } }, "env_vars": [ "PREFECT__CLOUD__USE_LOCAL_SECRETS" ], "system_information": { "platform": "Windows-10-10.0.17758-SP0", "prefect_version": "0.10.2", "python_version": "3.7.4" } } 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 ipython/ipython codebase. Here's the problem: Init signature gone for builtins #9335 seem to have broken some things in inspect, `Init signature` is sometime gone: ``` (rootenv)~/dev/ipython master$ ipython -c 'list?' Docstring: list() -> new empty list list(iterable) -> new list initialized from iterable's items Type: type (rootenv)~/dev/ipython master$ git checkout 4.2.0 ... (rootenv)~/dev/ipython (4.2.0)$ ipython -c 'list?' Init signature: list(self, /, *args, **kwargs) Docstring: list() -> new empty list list(iterable) -> new list initialized from iterable's items Type: type ``` 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: Auto suggestions cannot be completed when in the middle of multi-line input  Completing an ipython 8 [autosuggestion](https://ipython.readthedocs.io/en/stable/whatsnew/version8.html#autosuggestions) by pressing `ctrl-f` or `ctrl-e` works perfectly for code on the final line of multi-line input (the following two screenshots show before and after pressing `ctrl-f` or `ctrl-e`):   However pressing `ctrl-f` or `ctrl-e` fails when trying to complete the suggestion in the middle of multi-line input -- instead, the only thing that works is holding down right arrow until the suggestion is completed:  Note this problem persists across different terminals (apple Terminal and iTerm2) and after disabling custom `bashrc` and `inputrc`. Is there any way suggestions can be completed with one keystroke in the middle of multi-line input? 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: Control wires are not correctly displayed @nkanazawa1989 noted: ### Summary - Bug fix for conditional gate when multiple classical registers are included. - Modify the appearance of classical-bit related gates to one in `latex_circuit_drawer`. ### Steps to reproduce The bug reported in Slack: e.g. ``` qreg = QuantumRegister(3, name='q') creg1 = ClassicalRegister(3, name='c1') creg2 = ClassicalRegister(2, name='c2') qc = QuantumCircuit(qreg, creg1, creg2) qc.measure(qreg, creg1) qc.x(qreg[0]).c_if(creg1, 3) ``` ### Expected behaviour The conditional only involves the classical register named `c1`. ### Current behaviour ![index_bug](https://user-images.githubusercontent.com/39517270/43937343-02300e28-9c98-11e8-92df-a567fccad269.png) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Incompatible Trainer.test() ## 🐛 Bug Trainer.test() stops on missing definitions of train & validation dataloaders methods. ### To Reproduce Steps to reproduce the behavior: - Define LightningModule without train & validation dataloaders - Train such model with data loaders provided to `Trainer.fit(...)` method - Load model from checkpoint and test it with `Trainer.test(...)` method test failes on : ~~~python 'No `train_dataloader()` method defined. Lightning `Trainer` expects as minimum a' pytorch_lightning.utilities.exceptions.MisconfigurationException: No `train_dataloader()` method defined. Lightning `Trainer` expects as minimum a `training_step()`, `training_dataloader()` and `configure_optimizers()` to be defined. ~~~ #### Code sample ~~~python test_data = data_loader(...) estimator = MyEstimator.load_from_checkpoint(checkpoint_path=CKPT_PATH) trainer = pl.Trainer(...) trainer.test(model=estimator, test_dataloaders=test_data) ~~~ ### Expected behaviour Run the test with provided test data loader, and do not stop on condition related to missing train & validation dataloaders which actually are not mandatory. ### Environment ~~~ * Packages: - numpy: 1.18.4 - pyTorch_debug: False - pyTorch_version: 1.5.0 - pytorch-lightning: 0.7.5 - tensorboard: 2.2.1 - tqdm: 4.46.0 * System: - OS: Linux - architecture: - 64bit - ELF - processor: - python: 3.8.2 - version: #1 SMP Wed, 29 Apr 2020 16:23:03 +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 docker/compose codebase. Here's the problem: UnicodeDecodeError when executing docker-compose up when running `docker-compose up` This error happens: ```Traceback (most recent call last): File "bin/docker-compose", line 6, in <module> File "compose/cli/main.py", line 68, in main File "compose/cli/main.py", line 121, in perform_command File "contextlib.py", line 35, in __exit__ File "compose/cli/errors.py", line 53, in handle_connection_errors File "compose/cli/errors.py", line 118, in get_conn_error_message File "distutils/spawn.py", line 220, in find_executable File "posixpath.py", line 73, in join UnicodeDecodeError: 'ascii' codec can't decode byte 0xe2 in position 0: ordinal not in range(128) Failed to execute script docker-compose ``` Versions : `docker-compose version 1.17.1, build 6d101fb` `Docker version 17.09.0-ce, build afdb6d4` On `Ubuntu 16.04.3` locale ```LANG=en_US.UTF-8 LANGUAGE= LC_CTYPE="en_US.UTF-8" LC_NUMERIC=en_US.UTF-8 LC_TIME=en_US.UTF-8 LC_COLLATE="en_US.UTF-8" LC_MONETARY=en_US.UTF-8 LC_MESSAGES="en_US.UTF-8" LC_PAPER=en_US.UTF-8 LC_NAME=en_US.UTF-8 LC_ADDRESS=en_US.UTF-8 LC_TELEPHONE=en_US.UTF-8 LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=en_US.UTF-8 LC_ALL= ``` 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: Long qubit name is not visible in latex drawer <!-- ⚠ 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**: 3.5 - **Operating system**: MacOS ### What is the current behavior? In a Jupyter notebook: ```python from qiskit import QuantumRegister, QuantumCircuit qr = QuantumRegister(4, 'looongname') circuit = QuantumCircuit(qr) circuit.h(qr) circuit.draw(output='latex') ``` <img width="537" alt="Screen Shot 2019-07-12 at 3 13 11 PM" src="https://user-images.githubusercontent.com/766693/61152884-95c1fe80-a4b7-11e9-8900-ab5307100741.png"> Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Meson does not report clang-tidy exit code if invoked "manually (i.e. if run-clang-tidy(.py) is not in PATH) Meson does not report clang-tidy exit code if invoked "manually (i.e. if run-clang-tidy(.py) is not in PATH). This is caused by ignoring the return value of `manual_clangformat()` in `clangformat()` within `mesonbuild/scripts/clangtidy.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 ipython/ipython codebase. Here's the problem: `%save` magic does not work, just warns that `'' was not found in history` <!-- This is the repository for IPython command line, if you can try to make sure this question/bug/feature belong here and not on one of the Jupyter repositories. If it's a generic Python/Jupyter question, try other forums or discourse.jupyter.org. If you are unsure, it's ok to post here, though, there are few maintainer so you might not get a fast response. --> ```pycon In [1]: %save file.py '' was not found in history, as a file, url, nor in the user namespace. ``` 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: Output of docker-compose stop looks kinda wierd I'm seeing this while doing stop. `michael@computer $ docker-compose stop` ``` Stopping my_foo_1... Stopping my_foo_1... done Stopping my_bar_1... Stopping my_nginx_1... Stopping my_bar_1... done Stopping my_bax_1... Stopping my_api_1... Stopping my_authserver_1... done Stopping my_content_1... Stopping my_nginx_1... done Stopping my_bax_1... done Stopping my_admin_1... Stopping my_mongo_1... Stopping my_search_1... Stopping my_cassandra_1... Stopping my_content_1... done Stopping my_postgres_1... Stopping my_qux_1... done Stopping my_dynamo_1... done Stopping my_search_1... done Stopping my_postgres_1... done Stopping my_cassandra_1... done Stopping my_mongo_1... done Stopping my_redisconsolidated_1... done michael@computer $ ``` Docker's output that displays while downloading an image in parallel is pretty awesome. Maybe we can do something like that? Best, Michael 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: JNI system dependency does not include FreeBSD **Describe the bug** When trying to use the JNI system dependency on FreeBSD, the following error appears: `Could not find a JDK platform include directory for your OS, please open an issue or provide a pull request.` This is related to the following list being limited to only Windows, Linux, Darwin and Solaris: https://github.com/mesonbuild/meson/blob/master/mesonbuild/dependencies/dev.py#L606-L622 **To Reproduce** As per code examination, merely trying to pull in the JNI system dependency should be a sufficient reproduction. **Expected behavior** Detecting the platform-dependent include directory on FreeBSD, whose name is `freebsd`. **system parameters** * FreeBSD 13.1 * Python 3.9.14 * Meson 0.62.2 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: Docker Compose parses host paths for ENV substitution, but not container paths [This comment](https://github.com/docker/compose/issues/551#issuecomment-97411619) in #551 indicates that the following syntax should work for passing SSH_AUTH_SOCK into a container: ``` volumes: - $SSH_AUTH_SOCK:$SSH_AUTH_SOCK environment: - SSH_AUTH_SOCK ``` However, [resolve_host_path in config.py](https://github.com/docker/compose/blob/master/compose/config.py#L355) does exactly as it's named, it resolves the host path but not the container path. This means that the snippet pasted above results in a volume like this: `['/tmp/ssh-4NokVWqj63/agent.10499:$SSH_AUTH_SOCK']` Instead of resolve_host_paths/resolve_host_path, the functions should probably be resolve_path/resolve_paths and resolve both host and container paths. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: gcloud.storage.bucket.Bucket.save_acl should clear existing ACL If an ACL is passed to 'save_acl', it should clear (or overwrite) any existing 'acl' attribute on the bucket, in addition to patching it server-side. 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 fail message to dependency() to print if not found. If the dependency is not found I would like to print a message explaining where to obtain the library. something like: ``` zlib_dep = dependency('zlib', not_found_msg : '(http://www.gzip.org/zlib)') ``` Would output Dependency zlib found: NO (http://www.gzip.org/zlib) Also useful for libraries like freetype where the pkg-config version numbering is different to the release version. I would like to be able to print the release version required if the version check fails. 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: ?? is not coloring docstring anymore. Mike and I are on it. 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: %%capture to grab rich display outputs we can currently grab standard out and standard error, but not the richer `display()` based things. This should be possible, and will make it possible to next magics like `%%capture %R` and grab the images generated by R 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: History navigation breaks in qtconsole I observe that, under some particular conditions, the behavior of the history navigation in the qtconsole breaks. Typically, if I type a letter, say 'a', and then press the up arrow key, IPython only shows the items in the history that start with that letter. However, under some conditions this behavior stop working. The phenomenon can be observed by typing the following in a qtconsole instance. (I am just showing what I type, not the IPython output): ``` a=1 'Enter' b=2 'Enter' b C-p C-a C-k a C-p ``` Here 'Enter' corresponds to pressing the enter key, and C-x corresponds to pressing Ctrl and the 'x' key. In this example, I expect that, after pressing C-p the last time, I should see 'a=1' in the prompt (that's what I see after doing this in a terminal IPython instance), however, I see 'b=2' in the prompt. 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: Problems with '%' in paths When using Jenkins with the github plugin branch names are automatically used to generate the workspace dir. If the branchname contains a slash, it is escaped by using '%2F'. This leads to problems when using conan inside this workspace dir: ```conan config set log.trace_file=\"/home_local/jenkins/workspace/3rdparty/yaml-cpp/recipe-release%2F0.6.1/conan_home/conan_log.log\"``` Error: File "/opt/rmc-build-tools/any/conan/1.10.0/python/conans/client/command.py", line 1428, in run method(args[0][1:]) File "/opt/rmc-build-tools/any/conan/1.10.0/python/conans/client/command.py", line 437, in config return self._conan.config_set(key, value) File "/opt/rmc-build-tools/any/conan/1.10.0/python/conans/client/conan_api.py", line 89, in wrapper return f(*args, **kwargs) File "/opt/rmc-build-tools/any/conan/1.10.0/python/conans/client/conan_api.py", line 554, in config_set config_parser.set_item(item, value) File "/opt/rmc-build-tools/any/conan/1.10.0/python/conans/client/conf/__init__.py", line 264, in set_item super(ConanClientConfigParser, self).set(section_name, key, value) File "/opt/rmc-build-tools/osl42-x86_64/python3/default/lib/python3.6/configparser.py", line 1193, in set super().set(section, option, value) File "/opt/rmc-build-tools/osl42-x86_64/python3/default/lib/python3.6/configparser.py", line 894, in set value) File "/opt/rmc-build-tools/osl42-x86_64/python3/default/lib/python3.6/configparser.py", line 402, in before_set "position %d" % (value, tmp_value.find('%'))) ValueError: invalid interpolation syntax in '"/home_local/jenkins/workspace/3rdparty/yaml-cpp/recipe-release%2F0.6.1/conan_home/conan_log.log"' at position 63 Conan version: 1.10.0 Jenkins version: 2.150.1 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 numpy/numpy codebase. Here's the problem: Documentation mistake numpy.floor_divide The [floor_divide docs](https://docs.scipy.org/doc/numpy/reference/generated/numpy.floor_divide.html) claim that > Return the largest integer smaller or equal to the division of the inputs. It is equivalent to the Python // operator and pairs with the Python % (remainder), function so that b = a % b + b * (a // b) up to roundoff. However, the mathematical expression is equal to a, not equal to b. ### Reproducing code example: ``` a=9; b=2; a % b + b * (a // b) == a True ``` ### Numpy/Python version information: Numpy docs V1.16.1 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 ipython/ipython codebase. Here's the problem: ipython profile locate should also work I know we have `ipython locate` and from it stems `ipython locate profile foo`, but this is awkward, because you get informed of the latter and want to use it when you look at `ipython profile --help` and it would make sense to have locating a profile work as a sub-command of profile. currently: `ipython locate profile foo` I want to: `ipython profile locate foo` , since we already have `ipython profile create` and `ipython profile list`. #1762 originally implemented `locate`, so pinging @minrk - like I always do :) Hi Min! :beers: 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: Image overflow in IPython Notebook 3 (beta) When my notebook converted from v3 to v4, running the code below, yielded the image below: ![code](https://cloud.githubusercontent.com/assets/8571234/6072598/5be1770a-ad58-11e4-890a-c4a5be5c6da1.PNG) ![overflow](https://cloud.githubusercontent.com/assets/8571234/6072599/5ec866d6-ad58-11e4-80c1-ebff00466a19.PNG) Additionally, the plot below, with dimensions (18,6) did not overflow in the previous version of the IPython Notebook: ![plot](https://cloud.githubusercontent.com/assets/8571234/6072637/c7037ede-ad58-11e4-8bf1-ce42f44b4c66.PNG) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Tokenizer: UnboundLocalError with PaddingStrategy MAX_LENGTH ## Environment info <!-- You can run the command `transformers-cli env` and copy-and-paste its output below. Don't forget to fill out the missing fields in that output! --> - `transformers` version: 3.1.0 - Platform: macOS-10.15.7-x86_64-i386-64bit - Python version: 3.8.5 - PyTorch version (GPU?): 1.6.0 (False) - Tensorflow version (GPU?): not installed (NA) - Using GPU in script?: no - Using distributed or parallel set-up in script?: no ### Who can help tokenizers: @mfuntowicz ## Information Model I am using: <transformers.tokenization_bert.BertTokenizer> The problem arises when using: * the official example scripts: using the `encode_plus` The tasks I am working on is: * Tokenizing ## To reproduce Steps to reproduce the behavior: 1. tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") 2. tokenizer.encode_plus("hello word", max_length=128, padding=PaddingStrategy.MAX_LENGTH) <!-- If you have code snippets, error messages, stack traces please provide them here as well. Important! Use code tags to correctly format your code. See https://help.github.com/en/github/writing-on-github/creating-and-highlighting-code-blocks#syntax-highlighting Do not use screenshots, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.--> `UnboundLocalError: local variable 'padding_strategy' referenced before assignment` ## Expected behavior Return Tokenizer output 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: Can we support the trace of ViT and Swin-Transformer based on torch.fx? # 🚀 Feature request Can we support the trace of ViT and Swin-Transformer based on torch.fx()? If not, what's the difficulty for that? ## Motivation ViT and Swin-Transformation is widely used in CV scenarios. Hope we could support the trace of torch.fx, so we can do the quantization based on the work. ## Your contribution I'm not sure right now. Currently I wanda whether we could support the ViT and Swin-Transformer. If not, the reason. 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: env_file doesn't get extended https://github.com/vipconsult/dockerfiles docker-compose -f always-on-prod.yml --x-networking up -d this extends always-on.yml which on it side extends common.yml which has env_file: - env always-on-prod.yml defines its own env_file env_file: - env-prod the problem is that envs defined in the env-prod don't override the envs defined in common.yml I think this worked as expected before I upgraded from 1.5.0 Docker version 1.9.0, build 76d6bc9 docker-compose version: 1.6.0dev linux debian jessie Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Feature Request: generator.process() to allow 'extra_args' argument Hi Jussi, I have a generator for cuda's `nvcc` command and it's working OK. The issue is - sometimes an app needs to add custom args to `nvcc`. Would something like this be possible? ``` cuda_gen = generator(nvcc, output: '@BASENAME@.o', arguments: ['-c', '@INPUT@', '-o', '@OUTPUT@'], ) ``` ``` generated = cuda_gen.process('f1.cu', extra_args=['-Darg1', '-Darg2', '-foo-bar-arg3']) ``` Being about to pass extra args to the nvcc command would be ideal. The alternative is to create multiple generators.... not that huge of a deal, but breaks the DRY principle. Thanks! Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Modified during iteration in upgrade extension https://github.com/jupyterlab/jupyterlab/blob/0b46ba00f04f504d4e1da1399c9f97a46801518e/jupyterlab/upgrade_extension.py#L83-L86 We should take a copy of the items view to prevent this `for (key, value) in list(data[name].items())` Modified during iteration in upgrade extension https://github.com/jupyterlab/jupyterlab/blob/0b46ba00f04f504d4e1da1399c9f97a46801518e/jupyterlab/upgrade_extension.py#L83-L86 We should take a copy of the items view to prevent this `for (key, value) in list(data[name].items())` 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: include generation in Blob repr. I added a comment here based on the `generation` addition to `storage` https://github.com/googleapis/google-cloud-python/pull/7444#issuecomment-485874643 I think it's worth adding an issue too - specifically because now `generation` defines a blob but isn't included in the repr. Meaning you can get confusing results like this: ```python blob <Blob: sixty-capital-temp, tests/test_357256/blob_645776> b2 = gcs.client(project).get_bucket(bucket).get_blob(blob.name) # recreate b2 <Blob: sixty-capital-temp, tests/test_357256/blob_645776> # same repr blob.exists() False b2.exists() True ``` ... but b2 & blob have the same repr! Prior to the latest release, both results would have been `True`. If generation were in the repr, this would be less confusing - e.g. I wouldn't have had to read the release notes to work out what was going on 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: Automatically generated .gitignore / cvsignore / ? in the build directory As the build directory is a newly created directory, it could safely contain a `.gitignore` that ignores itself. I don't know how other vcs work, but meson may/should try to detect which vcs is used (by checking existence of .git ?) ``` # Meson generated .gitignore * ``` 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: Conditional Measurement is not conditional when exported to OpenQASM 3 ### Environment - **Qiskit Terra version**: main - **Python version**: 3.9 - **Operating system**: OSX ### What is happening? When exporting a circuit with a conditional measurement to OpenQASM 3 the measurement is not conditional. ### How can we reproduce the issue? ``` cr = ClassicalRegister(3) qr = QuantumRegister(3) qc = QuantumCircuit(qr, cr) # Prepare |011> qc.x(qr[:2]) # Measure "001" qc.measure(qr[0], cr[0]) # Conditionally measure "011", but the second bit is not reported # due to conditional measurement phase 1 limitations. The measurement # value is still available for runtime conditional executions. qc.measure(qr[1], cr[1]).c_if(cr[0], 1) # Conditionally prepare |111> based on the conditional measurement result qc.x(qr[2]).c_if(cr[1], 1) # Perform a final un-conditional measurement who's value will be determined # by the previous conditional measurement which is due to the usage of the gate # conditioned on the measurement result. qc.measure(qr[2], cr[2]) ``` Gives ``` OPENQASM 3; bit[3] c0; x $3; x $4; c0[0] = measure $3; c0[1] = measure $4; if (c0[1] == 1) { x $5; } c0[2] = measure $5; ``` ### What should happen? Should give ``` OPENQASM 3; bit[3] c0; x $3; x $4; c0[0] = measure $3; if (c0[1] == 1) { c0[1] = measure $4; } if (c0[1] == 1) { x $5; } c0[2] = measure $5; ### 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 docker/compose codebase. Here's the problem: Building container fails after removing old image. I found this issue while working on a fix for issue #4337. By running the following sequence of commands on [this example repository](https://github.com/twelve17/dc-test): ``` git checkout tags/test2_run1 docker-compose build docker rmi --force dctest_service1 docker-compose build docker-compose up ``` Compose fails because the old image is never properly rebuilt from the old container: ``` WARNING: The Docker Engine you're using is running in swarm mode. Compose does not use swarm mode to deploy services to multiple nodes in a swarm. All containers will be scheduled on the current node. To deploy your application across the swarm, use `docker stack deploy`. Recreating dctest_service1_1 ... error ERROR: for dctest_service1_1 no such image: sha256:bb41503c2e723478308998afc7df0886fac0811621b70d61b28ca36418a41bb7: No such image: sha256:bb41503c2e723478308998afc7df0886fac0811621b70d61b28ca36418a41bb7 ERROR: for service1 no such image: sha256:bb41503c2e723478308998afc7df0886fac0811621b70d61b28ca36418a41bb7: No such image: sha256:bb41503c2e723478308998afc7df0886fac0811621b70d61b28ca36418a41bb7 ERROR: Encountered errors while bringing up the project. ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: text drawer should capitalize gate names The text drawer currently changes gate name capitalizations to capitalize the first letter. I think it should just rely on the gate name and not intervene. 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: Allow callables as optimizers in ``VQE`` ### What is the expected enhancement After #6382, allow callables with the same signature as `Optimizer.minimize` as `optimizer` in the VQE. This allows a much more flexible usage of the algorithm and get's rid of the overhead of implementing a new class each time users want to try their/other optimizers we don't yet have implemented. 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 project parameter to `list_datasets`, `list_jobs` I think of a Client as corresponding to the "billing project" for BigQuery, but this should not restrict the client from listing datasets / jobs in other projects if its associated credentials have permissions to do so in those projects. https://github.com/ibis-project/ibis/pull/1428#discussion_r183066783 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: Pub/Sub: publisher client's publish method does not expose retry settings https://github.com/googleapis/google-cloud-python/blob/a5af6acb85d8e1ed97e56ad7fc1cb0aefc524e61/pubsub/google/cloud/pubsub_v1/publisher/client.py#L166 Publish retry is supported in [Node.js](https://cloud.google.com/nodejs/docs/reference/pubsub/0.20.x/v1.PublisherClient#publish) and [Java](https://github.com/googleapis/google-cloud-java/blob/eb9fae59a236773a38c87dbce82206d4a267bf76/google-cloud-examples/src/main/java/com/google/cloud/examples/pubsub/snippets/PublisherSnippets.java#L107). It should be supported by Python 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 googleapis/google-cloud-python codebase. Here's the problem: Project inference is broken under Python 3.5.1 Project inference takes place in [_determine_default_project()](https://github.com/GoogleCloudPlatform/gcloud-python/blob/91be6938b26ba9198082f457ae37fba81b8f5ea0/gcloud/_helpers.py#L189), which hands off to [_compute_engine_id()](https://github.com/GoogleCloudPlatform/gcloud-python/blob/91be6938b26ba9198082f457ae37fba81b8f5ea0/gcloud/_helpers.py#L151). That returns the correct value -- but as `bytes`. The `Client` class checks if the project value is a `str` (using `six.string_types`) and raises an error because it is not (that code is [here](https://github.com/GoogleCloudPlatform/gcloud-python/blob/91be6938b26ba9198082f457ae37fba81b8f5ea0/gcloud/client.py#L144)). Can you help me debug this systematically and explain your reasoning?