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

[User] I'm having an issue with the celery/celery codebase. Here's the problem: Internal error when embedding app Celery 3.1.13 and 3.1.16 (latest release as of this writing) I'm wrapping the celery app inside a utility class, which constructs the app and the worker: ``` python self.celery = celery.Celery() self.worker = self.celery.WorkController(pool_cls='solo', queues=[self.queue_name]) self.celery.task(self._receive_callback, name=self.callback_task_name) ``` The utility class has a start() method which starts the worker like this: ``` python t = threading.Thread(target=self.worker.start) # Starting the worker in a daemonic thread so that it doesn't keep the process # alive when the main thread exits t.setDaemon(True) t.start() ``` When the embedded app receives the task it crashes with the following traceback: ``` python CRITICAL:celery.worker.job:Task [my_task_name][cfe87fb7-373d-4082-a72c-0f44d265cc9f] INTERNAL ERROR: AttributeError("'NoneType' object has no attribute 'loader'",) Traceback (most recent call last): File "/virtualenvdir/lib/python2.7/site-packages/celery/app/trace.py", line 333, in trace_task task.__trace__ = build_tracer(task.name, task, **opts) File "/virtualenvdir/lib/python2.7/site-packages/celery/app/trace.py", line 160, in build_tracer loader = loader or app.loader AttributeError: 'NoneType' object has no attribute 'loader' ``` I printed the stack trace from the exception handler in celery.app.trace.trace_task right before report_internal error is called and the error seems to be triggered in _trace_task_ret: ``` python def _trace_task_ret(name, uuid, args, kwargs, request={}, app=None, **opts): return trace_task((app or current_app).tasks[name], uuid, args, kwargs, request, app=app, **opts) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Update `DotDict` docstring We should update the `DotDict` class docstring to clearly articulate what can / can't be accessed via `.`: - only valid python identifiers (no numbers, etc.) - no dunders `__X` gets converted to `_DotDict__X` via mangling Changelog doesn't update in doc builds Looking at #297 I realize that our formatted docs Changelog doesn't update (we use a static file); we should start updating this as we do the `README.md` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: IPython 3.0 breaks compatibility with emacs-ipython-notebook Some more details in millejoh/emacs-ipython-notebook#4, but essentially emacs-ipython-notebook currently supports the REST protocol described in IPEP 16 and not IPEP 27. My primary concern is in supporting both IPython 2.0 and 3.0 as 3.0 adoption probably won't be instantaneous. Is there a cross-version API for querying the version of IPython notebook? I am probably missing something obvious. Any other suggestions on how to support two different REST APIs (actually three, but I'm not planning on supporting IPython versions earlier than 2.0) in emacs-ipython-notebook greatly welcomed. Also please permit me some old man grumbling for a moment - you guys are going to stick with the API specified in IPEP27 from now on, right? Or at least try in the future to make sure any changes are backwards-compatible? Chasing API's is certainly helping me learn a fair amount about IPython and ein, but it isn't exactly the most productive use of time. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Error in doc string for `QuantumCircuit.assign_parameters` In the following "True" should be replaced by "False" https://github.com/Qiskit/qiskit-terra/blob/33e7448a22ccb74c3e2a288c242a1da411ab195e/qiskit/circuit/quantumcircuit.py#L2147-L2149 <!-- ⚠ 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**: 33e7448 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: __linux virtual package <!-- Hi! Read this; it's important. This is an issue tracker for conda -- the package manager. File feature requests for conda here, as well as bug reports about something conda has messed up. Anaconda Community Code of Conduct: https://www.anaconda.com/community-code-of-conduct/ If your issue is a feature request for: * a specific conda package from Anaconda ('defaults' channel): ==> file at https://github.com/ContinuumIO/anaconda-issues * a specific conda package from conda-forge: ==> file at the corresponding feedstock under https://github.com/conda-forge * repo.anaconda.com access and service: ==> file at https://github.com/ContinuumIO/anaconda-issues * anaconda.org access and service: ==> file at https://anaconda.org/contact/report * commands under 'conda build': ==> file at https://github.com/conda/conda-build * commands under 'conda env': ==> please file it here! * all other conda commands that start with 'conda': ==> please file it here! --> Hi, currently, there are `__unix` and` __linux` virtual packages. It would be nice to have one for Linux a well. Based on #10214 I would assume this to be something along the lines of: ```python if is_linux: rec = _make_virtual_package('__linux') index[rec] = rec ``` Happy to create the PR but just wanted to check first if that'd be the correct approach? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Unify conversion of datetime <--> timestamp strings Use a shared formatting string for the "RFC 3339 w/ microseconds" format, and centralize conversion of datetimes to strings and back (w/ `pytz.utc` zone). See: - https://github.com/GoogleCloudPlatform/gcloud-python/pull/816#discussion_r28172973 - https://github.com/GoogleCloudPlatform/gcloud-python/pull/816#discussion_r28173336 - https://github.com/GoogleCloudPlatform/gcloud-python/pull/816#discussion_r28180427 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: DAG visualization dependence on graphviz is not mentioned <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations - **Qiskit Terra version**: latest - **Python version**: 3.7 - **Operating system**: OSX ### What is the current behavior? Calling `dag_drawer(dag)` gives the error: ```python InvocationException: GraphViz's executables not found ``` indicating that `GraphViz` is a requirement for this function, but it is not listed anywhere. ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: flow.visualize() fails on windows A simple flow.visualize() command fails when running on Windows. Looks like it's due to the way that windows creates tempfiles (see this thread: https://stackoverflow.com/questions/23212435/permission-denied-to-write-to-my-temporary-file) Traceback (most recent call last): File "C:\Dev\source\python\prefecttesting\dostuff.py", line 34, in <module> flow.visualize() File "C:\Dev\source\python\prefecttesting\venv\lib\site-packages\prefect\core\flow.py", line 1106, in visualize graph.render(tmp.name, view=True) File "C:\Dev\source\python\prefecttesting\venv\lib\site-packages\graphviz\files.py", line 183, in render filepath = self.save(filename, directory) File "C:\Dev\source\python\prefecttesting\venv\lib\site-packages\graphviz\files.py", line 155, in save with io.open(filepath, 'w', encoding=self.encoding) as fd: PermissionError: [Errno 13] Permission denied: 'c:\\dev\\temp\\tmpn3cczj0a' Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Change QuantumCircuit method input arg names <!-- ⚠ 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? Make the following changes for the qubit naming conventions used in `QuantumCircuit` methods: `ctl -> control_qubit` `tgt -> target_qubit` `q -> qubit` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Improve AutoToolsBuildEnvironment target triple Currently AutoToolsBuildEnvironment's `configure` ignores `os_target`, `arch_target` settings, even if `target=None`. The documentation says: > target (Optional, Defaulted to None): To specify a value for the parameter --target. If None it will try to detect the value if cross-building is detected according to the settings. If False, it will not use this argument at all. Currently it requires `arg` to be passed in with `--target=<target_triple>`. In my situation we are not cross building, but we are making cross compiler tools (build==host, target different). In my opinion the only thing that makes sense is to propagate `os_target` and `arch_target` to the relevant triple or None when target triple is irrelevant. [see patch](/Ignition/conan/commit/fd4d0eb6774e8e0137ec9a6d5550750b746b8762) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Better support for handling block diagonal matrices Dear JAX team, Thanks for the amazing work with JAX! I'm currently doing some work which would really benefit from support for handling block diagonal matrices. In particular, I would like to assemble matrices using something like `scipy.linalg.block_diag` (https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.linalg.block_diag.html). It would also be nice to be able to split them again, but that's a bit awkward in numpy too and I think could be done using slicing. I've been able to work around this for now using kronecker products, but it's not very neat. Would this be hard to add? Could give it a go too if it's not too hard and there's a rough plan (maybe scatter would be one way to go?). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Right arrow broken in 8.12.1 The -> arrow doesn't work. When I press the <- arrow to go back and edit the current command, Ipython ignores it. I don't think my explanation is very clear, so here is an example. If I type: ``` In [1]: print(A ``` And realise I forgot to open the quotes, I go back, ``` In [1]: print("|A ``` Now I am stuck, and cannot "hop" over A. I can keep moving backwards, though. Pressing `end` does work. I have replicated it in an empty virtualenv under both Python 3.9 and 3.10. The problem disappears downgrading to Ipython 8.12.0. I am using Fedora Linux, with Qterminal 1.1.0. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Big query TIMESTAMP field off by factor of 1000 Using master branch. In BigQuery TIMESTAMP fields are off by a factor of 1000 when using fetch_data. See my in-line comment - https://github.com/GoogleCloudPlatform/gcloud-python/commit/41e64395661a31af8352fb2358e5c95ff5437830#diff-c56e349a3e511bfabb4e8dfcfe686bc8R739 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 fails in clients without stdin if file already exists `%save` fails in the nb/qtconsole if a file already exists, because it tries to ask the user interactively and this produces a `StdinNotImplementedError`. We should in that case capture the exception, print instead a message and offer a -f option to support forced writes. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Nested flow control for Passmanagers <!-- ⚠ 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? Skimming through the pass manager code and reading the documentation (which is quite lacking) for building pass managers I do not see an option to nest flow control. The `FlowController` class is only attached to a set of passes which makes it impossible to apply an additional flow controller on a subset of those passes. For example the use case I have in mind is to have a condition in a do while loop, for example something like: ```python while not fixed_point: pass_a() pass_b() check_pass() if not check_pass_result: pass_d() pass_e() pass_f() ``` which at least I couldn't find a way to represent in the current pass manager structure. It would be very useful as we make the pass manager more sophisticated to have nested flow control like this. If I just missed it we should improve the documentation around this (which honestly we need regardless). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: %guiref in qtconsole broken With the latest git master, %guiref gives the following error in qtconsole: ``` In [1]: %guiref --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-1-abc9b6d653cc> in <module>() ----> 1 get_ipython().magic(u'guiref') /Users/takimoto/Library/Python/2.7/lib/python/site-packages/IPython/core/interactiveshell.pyc in magic(self, arg_s) 2238 magic_name, _, magic_arg_s = arg_s.partition(' ') 2239 magic_name = magic_name.lstrip(prefilter.ESC_MAGIC) -> 2240 return self.run_line_magic(magic_name, magic_arg_s) 2241 2242 #------------------------------------------------------------------------- /Users/takimoto/Library/Python/2.7/lib/python/site-packages/IPython/core/interactiveshell.pyc in run_line_magic(self, magic_name, line) 2159 kwargs['local_ns'] = sys._getframe(stack_depth).f_locals 2160 with self.builtin_trap: -> 2161 result = fn(*args,**kwargs) 2162 return result 2163 /Users/takimoto/Library/Python/2.7/lib/python/site-packages/IPython/core/usage.pyc in page_guiref(arg_s) 567 """Show a basic reference about the GUI Console.""" 568 from IPython.core import page --> 569 page.page(gui_reference, auto_html=True) 570 TypeError: page() got an unexpected keyword argument 'auto_html' ``` See #5902 for my system info. May be related with the commit 095e73ab7386af077968a3bb6c28e5d88d9abe60 ? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: do_lower_case not saved/loaded correctly for Tokenizers ## Environment info - `transformers` version: 3.4.0 - Platform: Linux-5.4.0-52-generic-x86_64-with-debian-buster-sid - Python version: 3.7.6 - PyTorch version (GPU?): 1.5.1 (False) - Tensorflow version (GPU?): not installed (NA) - Using GPU in script?: No - Using distributed or parallel set-up in script?: No ### Who can help @mfuntowicz ## Information The `do_lower_case` property of BertTokenizer is not correctly restored after saving / loading. ## To reproduce ```python from transformers import BertTokenizer tokenizer = BertTokenizer.from_pretrained("bert-base-cased") print(tokenizer.do_lower_case) tokenizer.save_pretrained("debug_tokenizer") tokenizer_loaded = BertTokenizer.from_pretrained("debug_tokenizer") print(tokenizer_loaded.do_lower_case) ``` returns ``` False True ``` ## Expected behavior Same object attributes after saving / loading Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Remove references to `return_tasks` in docs As identified by @ntaylorwss, some of the docs and tutorials reference the `return_tasks` kwarg that was removed in #693, and will need updating before the next release. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: add -w--workdir= option to docker-compose run Same as docker Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: on 64 bit host, cross compilation install libraries in "lib64" instead of "lib" I use a x86_64 machine to cross compile for a 32bit mips platform. My "cross_file.txt" is: ```ini c = '/opt/br_mips-2013.11/usr/bin/mips-linux-gcc' cpp = '/opt/br_mips-2013.11/usr/bin/mips-linux-g++' ar = '/opt/br_mips-2013.11/usr/bin/mips-linux-ar' strip = '/opt/br_mips-2013.11/usr/bin/mips-linux-strip' [host_machine] system = 'linux' cpu_family = 'mips' cpu = 'mips' endian = 'big' ``` Unfortunately when i run the "ninja install" target the libraries are installed in the "lib64" directory instead of the "lib" directory. I've checked the "meson_install.py" script but i didn't found any reference to the lib directory, what is the correct source file to check? 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 huggingface/transformers codebase. Here's the problem: Here maybe a bug, when we load staged checkpoint https://github.com/huggingface/transformers/blob/40d98ebf50c4662bcd6dce6395bbed0b2142ea52/src/transformers/trainer.py#L458 I met this bug when I used the setting below: global_steps = 2748 len(train_dataloader) = 27484 gradient_accumulation_steps = 4 In the original code, "steps_trained_in_current_epoch" will be 2748 ! BUT this variable should be 2748*4 = 10,992 the code I suggested is below: ``` epochs_trained = (self.global_step * self.args.gradient_accumulation_steps) // len(train_dataloader) steps_trained_in_current_epoch = (self.global_step * self.args.gradient_accumulation_steps) % len(train_dataloader) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Attempt to `create schema if not exists ...` crashes flow when connector role lacks permissions to create schemas in the database ### Dagster version 1.1.21 ### What's the issue? The snowflake connector tries `create schema if not exists ...` prior to materializing a DataFrame as a Snowflake table. This causes flows to crash when the Snowflake role assigned to the connector lacks privileges to create schemas in the database. It is related to this pull request: https://github.com/dagster-io/dagster/pull/11764 ### What did you expect to happen? Check whether a schema exists before trying to create it, but do so in a way that will not return an error from Snowflake when the connector's role lacks privileges to create schemas. ### How to reproduce? Use a role with access to a schema but that lacks privileges to create a new schema. ### Deployment type Docker Compose ### Deployment details _No response_ ### Additional information This is a dagster-breaking bug for me and I will not be able to upgrade to a new version until it is addressed. ### 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 mesonbuild/meson codebase. Here's the problem: gnome yelp: install fails with symlink_media if icon exists already Running `ninja install` twice will error out with gnome.yelp(): ```nstalling /tmp/nettool/help/ca/network-connectivity.page to /tmp/prefix/share/help/ca/gnome-nettool/network-connectivity.page Symlinking /tmp/prefix/share/help/ca/gnome-nettool/figures/gnome-nettool-trail.png to /tmp/prefix/share/help/C/gnome-nettool/figures/gnome-nettool-trail.png. Traceback (most recent call last): File "/home/tpm/Devel/meson/meson.py", line 37, in <module> sys.exit(main()) File "/home/tpm/Devel/meson/meson.py", line 34, in main return mesonmain.run(launcher, sys.argv[1:]) File "/home/tpm/Devel/meson/mesonbuild/mesonmain.py", line 269, in run sys.exit(run_script_command(args[1:])) File "/home/tpm/Devel/meson/mesonbuild/mesonmain.py", line 257, in run_script_command return cmdfunc(cmdargs) File "/home/tpm/Devel/meson/mesonbuild/scripts/yelphelper.py", line 114, in run destdir, options.project_id, options.symlinks) File "/home/tpm/Devel/meson/mesonbuild/scripts/yelphelper.py", line 82, in install_help os.symlink(srcfile, outfile) FileExistsError: [Errno 17] File exists: '/tmp/prefix/share/help/C/gnome-nettool/figures/gnome-nettool-trail.png' -> '/tmp/prefix/share/help/ca/gnome-nettool/figures/gnome-nettool-trail.png' Failed to run install script '/usr/bin/python3 /home/tpm/Devel/meson/meson.py --internal yelphelper install --subdir=help --id=gnome-nettool --installdir=share/help --sources=index.page@@introduction.page@@ip-information.page@@network-connectivity.page --symlinks=true --media=figures/gnome-nettool-trail.png@@figures/gnome-nettool.png --langs=ca@@cs@@da@@de@@el@@en_GB@@es@@fr@@hu@@ko@@oc@@pa@@pl@@pt_BR@@ru@@sv@@uk@@vi@@zh_CN' FAILED: install ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: jupyter labextension uninstall deletes federated extensions <!-- Welcome! Before creating a new issue: * Search for relevant issues * Follow the issue reporting guidelines: https://jupyterlab.readthedocs.io/en/latest/getting_started/issue.html --> ## Description `jupyter labextension uninstall` deletes federated extensions, but federated extensions should not be managed by `jupyter labextension`, since they are managed by other package managers. ## Reproduce ``` conda create -y -n jlab-extension python nodejs conda activate jlab-extension pip install --pre jupyterlab pip install --pre jupyterlab_widgets ``` This installs the new federated extension for ipywidgets. We can see it in ``` jupyter labextension list ``` We can uninstall it with ``` jupyter labextension uninstall @jupyter-widgets/jupyterlab-manager ``` ## Expected behavior I expect `jupyter labextension list` to distinguish between federated and non-federated extensions, i.e., extensions installed by `labextension` and those that are not. I expect `jupyter labextension uninstall` to not uninstall federated extensions, since it is not responsible for managing their files and cannot install them. Essentially, by uninstalling by removing the appropriate share directory, you are deleting files installed by a python package without uninstalling the python package, messing things up. ## Context <!--Complete the following for context, and add any other relevant context--> - Operating System and version: macOS Catalina - JupyterLab version: JLab 3.0rc6 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Wishlist: Remove hard dependency on ctypes `IPython.lib.inputhook` has a hard dependency on `ctypes`. Recently I've been working with Python on a machine without ctypes. I was able to get a basic IPython terminal by commenting out much of the file. Obviously this means I won't have any `%gui` magic abilities, but that's not a problem in my situation. Perhaps instead of this hard dependency we should consider refactoring the class so that InputHookManager was a pluggable configuration option? Would this be a realistic 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 conda/conda codebase. Here's the problem: non-conda-installed python packages can have missing version information When reading up metadata out of site-packages, non-conda-installed python packages can sometime be missing version information. When this is the case, we should default to a hard-codes `0.0.0` version. I believe this behavior is consistent with python’s own `python setup.py —version` when no version is actually given in the `setup()` 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 Lightning-AI/lightning codebase. Here's the problem: Bug in DDP, but not DP modes. Pytorch 1.5 ``` In [3]: pytorch_lightning.__version__ Out[3]: '0.7.5rc1' ``` In DP everything works. In DDP fails with: ``` File "/home/vladimir/anaconda3/envs/solaris/lib/python3.7/multiprocessing/popen_fork.py", line 20, in __init__ self._launch(process_obj) File "/home/vladimir/anaconda3/envs/solaris/lib/python3.7/multiprocessing/popen_spawn_posix.py", line 47, in _launch reduction.dump(process_obj, fp) File "/home/vladimir/anaconda3/envs/solaris/lib/python3.7/multiprocessing/reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) _pickle.PicklingError: Can't pickle <class 'torch._C._VariableFunctions'>: it's not the same object as torch._C._VariableFunctions ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Update MultiRegional and Regional to Standard Previously, we implemented the concept of "Location Type" to move the concept of bucket location away from storage class. It is no longer considered correct to use "MultiRegional" or "Regional" as a storage class, instead those should be location types. As such, we need to update every instance of the "MultiRegional" and "Regional" storage in samples, library documentation, and tests to use "Standard" instead--Standard is a correct storage class. Note that "MultiRegional" and "Regional" should only be replaced with "Standard" in cases where they are used a storage class. If they're used as a location type, that's fine and doesn't need to be replaced. https://github.com/googleapis/google-cloud-python/blob/ae2e7058e402c4c963bc4991af7cd5f2b2801cc9/storage/tests/unit/test_bucket.py https://github.com/googleapis/google-cloud-python/blob/ccac1e1a95bbdc85c001c96ad359dcec50f3e407/storage/tests/unit/test_blob.py#L3040 https://github.com/googleapis/google-cloud-python/blob/ae2e7058e402c4c963bc4991af7cd5f2b2801cc9/storage/tests/unit/test_bucket.py#L55 https://github.com/GoogleCloudPlatform/python-docs-samples/blob/03e47889042b52ebb2610c5ba19a23bebb39a497/notebooks/rendered/storage-command-line-tool.md#L73 https://github.com/GoogleCloudPlatform/python-docs-samples/blob/03e47889042b52ebb2610c5ba19a23bebb39a497/notebooks/tutorials/storage/Storage%20command-line%20tool.ipynb#L141 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: pauli.evolve() needs a major speedup ### What should we add? @aeddins-ibm found that `pauli.evolve()` can be quite slow, and we can get substantial performance improvement from using private methods for special cases. Since `pauli.evolve()` is the main entry-point / user-interface, it should be fast. There are probably some simple things that can be done to dramatically speed it up. But it needs some profiling to see what's causing the slowdown. Here's a code that shows `pauli.evolve()` is 10,000x slower than calling `_evolve_cx()` on individual instructions. Some of this is expected since CX is a special case of clifford. But a) we should have faster ways of dealing with special cases of self-adjoint cliffords and b) is there some other overhead from validation/type-checking? ```py from qiskit import QuantumCircuit from qiskit.quantum_info.operators.symplectic.base_pauli import _evolve_cx from qiskit.quantum_info import Clifford, Pauli, PauliList, random_pauli_list, SparsePauliOp import time n = 65 paulis_per_instance = 100 instances = 100 qc = QuantumCircuit(n) qc.cx(range(n-1),range(1,n)) cliff = Clifford(qc) result1 = random_pauli_list(n, paulis_per_instance*instances) result2 = result1.copy() start = time.time() result1 = result1.evolve(cliff,frame='s') print('time using evolve:',time.time()-start) start = time.time() for gate in qc.data: _evolve_cx(result2, gate[1][0]._index, gate[1][1]._index) print('time using _evolve_cx:',time.time()-start) print('same answer?',result1 == result2) ``` ```py time using evolve: 33.13418793678284 time using _evolve_cx: 0.0023658275604248047 same answer? True ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Meson unconditionally generates deprecated compiler option '/Gm' for vs2017 /Gm has been deprecated and produces warning: `cl : Command line warning D9035: option 'Gm' has been deprecated and will be removed in a future release` at least since VS 15.9 and is known to be working incorrectly, more info [here](https://docs.microsoft.com/en-us/cpp/build/reference/gm-enable-minimal-rebuild?view=vs-2017) and [here](https://developercommunity.visualstudio.com/content/problem/99877/vs2017-1532-c-minimalrebuild-incorrectly-skips-com.html). Meson sets it [unconditionally](https://github.com/mesonbuild/meson/blob/master/mesonbuild/backend/vs2010backend.py#L948), and I failed to find a workaround, adding '/Gm-' doesn't help. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: PassManager.passes() needs a drawer _For context, originally posted by @jaygambetta in https://github.com/Qiskit/qiskit-terra/issues/2179#issuecomment-489385917_ >I also think I should be able to draw a pass manager > >```pm.draw()``` > >and it make a flow diagram of all the passes I have in my pass manager with the inputs going into them Via #2079, `PassManager.passes()` returns structure with the passes and flow control in a pass manager instance. A drawer should take that structure and make flow diagram based 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 Qiskit/qiskit codebase. Here's the problem: ``ScipyOptimizer`` options are overriden by default values <!-- ⚠ 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**: - **Python version**: 3.7.9 - **Operating system**: macOS ### What is the current behavior? The `ScipyOptimizer`s allow two ways to specify settings of an optimizer: * directly as named arguments (e.g. `L_BFGS_B(maxiter=10)`) * via an `options` argument (e.g. `L_BFGS_B(options={"maxiter": 10})`) However using the second method via `options`, does not actually set the options since they are overriden by the default value. ### Steps to reproduce the problem ```python from qiskit.algorithms.optimizers import L_BFGS_B opt = L_BFGS_B(options={"maxiter": 2}) print(opt._options) ``` prints ``` {'maxiter': 15000, 'maxfun': 1000, 'ftol': 2.220446049250313e-15, 'iprint': -1, 'eps': 1e-08} ``` ### What is the expected behavior & suggested solution I think it would be cleaner to not have the `options` in the initializer and let the user just use named arguments. We could still keep `_options` under the hood in the `SciPyOptimizer`, just not expose it. Alternatively we could make sure all named arguments are `None` by default and then only set the value in the options if they are not none. However that is a bit cumbersome and less nice to read in the docs, so I think just removing `options` from the initializer would be cleaner. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: self.run() regression: mishandles output in 1.30.1 vs. 1.29.1 I have a recipe which in the deploy() function has this code: class Buf: def __init__(self): self.buf = [] def write(self, data): self.buf.append(data) def getData(self): return "".join((str(x) for x in self.buf)).strip() myBuf = Buf() self.run('"python" -c "import sys;sys.stdout.write(\'\\n\'.join((sys.exec_prefix,' 'str(sys.version_info[0]), str(sys.version_info[1]))))"', output = myBuf) data = myBuf.getData().replace("\r", "").split('\n') assert len(data) == 3 This code worked fine, in agreement with the published documentation in version 1.29.1 on Ubuntu 18.04. In version 1.30.1 the run() command fails because with the error message: **"Buf has no attribute _stream"**. The documentation: https://docs.conan.io/en/latest/reference/conanfile/other.html#output-and-running Specifies that the only requirement for the value of the output argument is that it has a write method. "You can pass **any stream that accepts a write method** like a six.StringIO()" As far as I know a stream is not required to have a private member named stream. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: system_requirements files not shared between host/docker I have an application depends on a library libA. libA's recipe has a system_requirements() method which installs a system library. libA's artifact is stored remotely. When I built the applications, it failed to find the system library installed by the libA's recipe. Is system_requirements() transitive? If so, how to specify in the conanfile.txt or conanfile.py of application? By the way, I don't want to build libA from source. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Multi-Directory notebooks overwrite each other's checkpoints IPython version: 71ff8f9523e438402f696104be44e90394bbf429 (after 2.0) Even though I haven't seen any open issue about this yet, I believe it might be already known, given that it is mentioned here: https://github.com/ipython/ipython/wiki/IPEP-16%3A-Notebook-multi-directory-dashboard-and-URL-mapping#create-a-checkpoint In brief, the problem is that notebooks that have the same name will write/read the same checkpoint file, regardless of the notebooks' path. Example: Notebooks `/test.ipynb` and `/some_path/test.ipynb` will both have their checkpoint file named `test-checkpoint.ipynb` directly under `.ipynb_checkpoints`. The consequence of this is that if two or more notebooks located in different subdirectories happen to have the same name they will overwrite each other's checkpoints. A potential solution could be to save the checkpoints in subdirectories as well. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: VideoMAE with `num_channels!=3` needs a small fix ## Issue The VideoMAE model doesn't work for non-RGB videos (when `num_channels!=3`). I believe this is caused by the harcoded image-net means and stds in the following lines: https://github.com/huggingface/transformers/blob/d51e7c7e8265d69db506828dce77eb4ef9b72157/src/transformers/models/videomae/modeling_videomae.py#L824L826 ## Code to Reproduce ``` import torch from transformers import VideoMAEConfig, VideoMAEForPreTraining NUM_CHANNELS = 1 config = VideoMAEConfig(num_channels=NUM_CHANNELS) model = VideoMAEForPreTraining(config) pixel_values = torch.rand(1, 16, NUM_CHANNELS, 224, 224) num_patches_per_frame = (model.config.image_size // model.config.patch_size) ** 2 seq_length = (model.config.num_frames // model.config.tubelet_size) * num_patches_per_frame bool_masked_pos = torch.randint(0, 2, (1, seq_length)).bool() outputs = model(pixel_values, bool_masked_pos=bool_masked_pos) loss = outputs.loss ``` This produces the following error: ```File ".../lib/python3.10/site-packages/torch/functional.py", line 74, in broadcast_tensors return _VF.broadcast_tensors(tensors) # type: ignore[attr-defined] RuntimeError: The size of tensor a (512) must match the size of tensor b (1536) at non-singleton dimension 2``` Setting NUM_CHANNELS = 3 works fine. ## Potential Fix Since we don't have a `_DEFAULT_MEAN/STD` for non-RGB images, we can just replace `frames=pixel_values` and disallow `norm_pix_loss=False` if `num_channels!=3`. With this modification, the code works on my machine. I am willing to fix and submit a PR. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: mpl circuit drawer requires excessive load time <!-- ⚠ 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**: Main - **Python version**: 3.8 - **Operating system**: Ubuntu ### What is the current behavior? When a text width calculation method was first added to the mpl circuit drawer, the method was called whenever it was needed. This has caused excessive load times due to repetitive method calls for medium to large circuits (100-1000+ gates), especially for gates with parameters. ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Caching the text widths will eliminate the repetitive calls. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [DataModule] Datamodule setup in docs shows non-existent stage arg <!-- ### Common bugs: 1. Tensorboard not showing in Jupyter-notebook see [issue 79](https://github.com/PyTorchLightning/pytorch-lightning/issues/79). 2. PyTorch 1.1.0 vs 1.2.0 support [see FAQ](https://github.com/PyTorchLightning/pytorch-lightning#faq) --> ## 🐛 Bug <!-- A clear and concise description of what the bug is. --> ### To Reproduce [Colab Minimal code](https://colab.research.google.com/drive/1nzVh8xeEGLOJvSZ0Ih7WccNHgI1gDzaD?usp=sharing) <!-- If you have a code sample, error messages, stack traces, please provide it here as well --> ### Expected behavior DataModule should call `prepare_data` and `setup` ### Environment - Colab ### Additional context PL Version: 0.9.0rc3 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Cannot close last figure window After updating ipython to 5.0 (from macports), I cannot close last figure window (neither with button in window bar, nor with 'close()'). The mouse cursor becomes spinning wheel inside the window, but I can still type command in the terminal window. However, if I type clf(), the figure window closes and a new one appears. This happens only when there is only one figure window remaining. Here's my system (OS X El Capitan, with python/ipython etc. installed via macports) : ``` [~] $ python -c "import IPython; print(IPython.sys_info())" {'commit_hash': u'<not found>', 'commit_source': '(none found)', 'default_encoding': 'UTF-8', 'ipython_path': '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/IPython', 'ipython_version': '5.0.0', 'os_name': 'posix', 'platform': 'Darwin-15.5.0-x86_64-i386-64bit', 'sys_executable': '/opt/local/Library/Frameworks/Python.framework/Versions/2.7/Resources/Python.app/Contents/MacOS/Python', 'sys_platform': 'darwin', 'sys_version': '2.7.12 (default, Jun 29 2016, 12:52:38) \n[GCC 4.2.1 Compatible Apple LLVM 7.0.2 (clang-700.1.81)]'} ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Avoid pydot for graphviz based visualization ### What is the expected enhancement? The current releases of pydot has a compatibility issue with it's upstream dependency pyparsing causing parsing errors that introduce empty nodes into visualizations (see: https://github.com/pydot/pydot/issues/280). For example: https://qiskit.org/documentation/stable/0.34/stubs/qiskit.visualization.dag_drawer.html#qiskit.visualization.dag_drawer This raises a question why do we need to be using pydot for graphviz based visualizations at all? We're just using it as a library to call `subprocess` on graphviz for us and not leveraging the parsing or dot file building capabilities of pydot (with the exception of the pass manager drawer but this is easy to refactor). Instead of using pydot in qiskit we have two alternative options available we either can replace the pydot usage with a direct subprocess call to graphviz, or we can leverage retworkx's built in graphviz visualization function: https://qiskit.org/documentation/retworkx/apiref/retworkx.visualization.graphviz_draw.html#retworkx.visualization.graphviz_draw If we use the retworkx function we can remove a lot of boilerplate code to deal with i/o and image objects 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 numpy/numpy codebase. Here's the problem: [Enhancement] Add axis-less flip for 1d arrays I suggest autoflipping 1d arrays without specifying axis: ``` python a = np.array([1, 2, 3]) b = np.flip(a) ``` instead of `b = np.flip(a, 0)` `fliplr` doesn't work in this case, and `flip` can easily check input's `ndim`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] New AutotoolsDeps customization The `AutotoolsDeps` generator should precalculate things in the constructor to allow the user to modify them before calling the `generate()` method. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Feature request: fast conda env update for satisfied dependencies I would love a mode for `conda env update -f environment.yml` that functions a bit more like `pip install -r requirements.txt` in terms of dong less unneeded work. In particular, I would like it to avoid updating packages that don't need updating, and ideally avoid talking to the index at all if the environment.yml is already satisfied. I think `update_dependencies: False` does *part* of this, but it doesn't apply to explicitly listed dependencies. In general, there appears to be no available operation to say "Given this environment.yml, make the fewest possible changes to satisfy its specification." My particular goals: 1. `conda env update` with an already satisfied environment.yml should install no packages, make no network requests, and in general complete as fast as possible. 2. if spec is partially satisfied, do not update packages that already satisfy their requirement, unless it is required to satisfy the packages that will be installed I would like this behavior for `conda install` as well, such that I could call `conda install notebook` and it would only perform any actions if notebook is not up to date. Are there existing combinations of flags that accomplish some or all of this? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add `map:` prefix to tasks in `Flow.visualize()` For more clarity into which tasks are mapped, which aren't Add `map:` prefix to tasks in `Flow.visualize()` For more clarity into which tasks are mapped, which aren't Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: most requirements skipped with conan 1.5 when some are private We have a conan setup that, when called with conan 1.4.5 or earlier, generates a visual studio property sheet with all our requirements. When called with 1.5, however, only one (Flow) of the requirements is included by the property sheet. The conanfile.py that is used to generate the property sheet has a requirements field that looks like `requires = Flow.dependencies + ('Flow/'+Flow.Flow.version + "@velo3d/stable",)` where flow dependencies is a tuple like `dependencies = ('foo/1.2.3@velo3d/thirdparty',...` and the requires field on Flow looks like ``` requires = dependencies + ( ('X/b64300d87-5@velo3d/stable', 'private'), ('Y/d41fca23204-3@velo3d/stable', 'private'), ('Z/bcdf4b4f51a-2@velo3d/stable', 'private'), ('W/b155f94-1@velo3d/stable', 'private'), ('U/2d139f800c8-1@velo3d/stable', 'private')) ``` Going back to 1.4.5 or replacing Flow requires with ``` requires = dependencies + ( 'X/b64300d87-5@velo3d/stable', 'Y/d41fca23204-3@velo3d/stable', 'Z/bcdf4b4f51a-2@velo3d/stable', 'W/b155f94-1@velo3d/stable', 'U/2d139f800c8-1@velo3d/stable') ``` fixes the problem. Any ideas? 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: Use new Sessions API for Consoles #1160 introduced a temporary workaround for dealing with consoles. Once we have https://github.com/jupyterlab/services/pull/237, we can use the session name and type as discriminators. cf https://github.com/jupyter/notebook/pull/1359 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: BUG: Typo in `numpy.polydiv` https://github.com/numpy/numpy/blob/92ebe1e9a6aeb47a881a1226b08218175776f9ea/numpy/lib/polynomial.py#L959 The typo in this line causes wrong return types in cases when `v` is `poly1d` fix to be: `truepoly = (isinstance(u, poly1d) or isinstance(v, poly1d))` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Doc styling utils adds parasites new lines ## Environment info - `transformers` version: 4.2.0dev0 - Platform: Windows-10-10.0.18362-SP0 - Python version: 3.7.9 - PyTorch version (GPU?): 1.7.1 (False) - Tensorflow version (GPU?): 2.3.1 (False) - Using GPU in script?: Nope - Using distributed or parallel set-up in script?: Nope ### Who can help @sgugger ## Information Running the python util to style docs adds parasite new lines in every single docstring. See: ```bash $ python utils/style_doc.py src/transformers docs/source --max_len 119 --check_only Traceback (most recent call last): File "utils/style_doc.py", line 491, in <module> main(*args.files, max_len=args.max_len, check_only=args.check_only) File "utils/style_doc.py", line 479, in main raise ValueError(f"{len(changed)} files should be restyled!") ValueError: 345 files should be restyled! ``` See this commit for an example of what it does: https://github.com/huggingface/transformers/pull/9150/commits/b4dedd5ca25f043c66d12c774fa00a34c74dffb2 ## To reproduce Steps to reproduce the behavior: 1. Checkout and update master branch 2. run `python utils/style_doc.py src/transformers docs/source --max_len 119 --check-only` from transformers root Output: ```python Traceback (most recent call last): File "utils/style_doc.py", line 491, in <module> main(*args.files, max_len=args.max_len, check_only=args.check_only) File "utils/style_doc.py", line 479, in main raise ValueError(f"{len(changed)} files should be restyled!") ValueError: 345 files should be restyled! ``` It might have something to do with Windows or a particular setup of my machine because behavior cannot be reproduced by @patrickvonplaten. ## Expected behavior On master branch, documentation should not need to be restyled Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Create `scheduling` stage (alap, asap) plugins Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Better warning for windows users when using %run After working on #10079, I thought it would be better to give windows users an explanation as to why they are receiving that error. Currently it just shows them a standard error with code that looks odd, but works on *nix systems: `ERROR:root:File "'../test.py'.py" not found.` I added a `warn` call to try to help: ``` warn('For Windows, use double quotes to wrap a filename: %run "mypath\\myfile.py"') ERROR:root:File `"'../test.py'.py"` not found. ``` I hopped that this would point them into the right direction. Especially if they are new users. I am not sure if using a `warn()` is the best way to handle this, so let me know any thoughts. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 console freezes for increasing no of seconds in %pylab mode launching ipython just in console with `ipython`. Am trying to reproduce bad editing (readline?) behavior now, looking at some functions, their help text etc. but it's all ok. Then launching `%pylab`. Typing in rubbish (like 'aoeuaoeaoeu') and can keep editing it without freezes. But from the moment I type in a function name that exists, like `dir()` it even gets stuck before printing the `()`. From now on the cursor gets stuck every 5 seconds or so and keeps stuck for 2-3 seconds at a time, but that number is increasing. Version abffd96eaa9c7 inside iTerm2 on Mac OSX. Python 2.7.8 from conda Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Remote code is loaded from `main` even when revision is provided ### System Info When specifying a branch to load a model with remote code as follows fails because there is no modeling file on `main`. Is this a bug or the expected behaviour? ### Who can help? The one and only _**@sgugger**_ ### 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 ```python model = transformers.AutoModelForCausalLM.from_pretrained("bigcode/santacoder-fast-inference", revision="main_custom", trust_remote_code=True) ``` The following error shows that the code file is attempted to be loaded from `main` instead of `main_custom` (where a modeling file is present: ```bash Could not locate the configuration_gpt_bigcode.py inside bigcode/santacoder-fast-inference. Traceback (most recent call last): File "/work/arjunguha-research-group/arjun/venvs/bigcode/lib/python3.8/site-packages/huggingface_hub/utils/_errors.py", line 264, in hf_raise_for_status response.raise_for_status() File "/shared/centos7/python/3.8.1/lib/python3.8/site-packages/requests/models.py", line 940, in raise_for_status raise HTTPError(http_error_msg, response=self) requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/bigcode/santacoder-fast-inference/resolve/main/configuration_gpt_bigcode.py ``` ### Expected behavior Loading without error. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: OverflowError execption in handlers.py Please see https://github.com/facebook/tornado/issues/713 IPython uses the same code fragment and creates an OverflowError when trying to load a sketch using procesing.js. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: AIP-56 - Move sync-perm command It has been brought up by Jarek in this [discussion](https://github.com/apache/airflow/discussions/32187#discussioncomment-6323078). I dont have much context on it but it seems we need to move this command as well as part of the AIP-56 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 ipython/ipython codebase. Here's the problem: `ls` magic alias to `ls -F --color` I have many different profiles used in linux. I use one profile when my terminal does not support any color. Is there any option to control the `ls` aliases so that it uses `ls -F` instead of `ls -F --color`? I already used `c.InteractiveShell.colors = 'NoColor'` but it does not affect the `ls` alias Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: unary + does not work in jax ``` >>> import jax >>> +jax.numpy.asarray([1,2,3]) /Users/lukasheinrich/Code/excursiondev/excvenv/lib/python3.6/site-packages/jax/lib/xla_bridge.py:119: UserWarning: No GPU/TPU found, falling back to CPU. warnings.warn('No GPU/TPU found, falling back to CPU.') Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: bad operand type for unary +: 'DeviceArray' ``` while in numpy it works ``` >>> import numpy >>> +numpy.asarray([1,2,3]) array([1, 2, 3]) ``` a similar issue appear for the `-` operator Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: describe CLI command outputs dictionary instead of json ## Current behavior Currently commands like `prefect describe flow ...` outputs a string representation of a Python dictionary ## Proposed behavior Output parsable JSON instead of a dictionary ## Example Docs show output similar to: ``` $ prefect describe flows --name my-flow { "name": "my-flow", "version": 1, "project": { "name": "Demo" }, "created": "2019-07-25T14:23:21.704585+00:00", "description": null, "parameters": [], "archived": false, "storage": { "type": "Docker", "flows": { "my-flow": "/root/.prefect/my-flow.prefect" }, "image_tag": "9b444406-355b-4d32-832e-77ddc21d2073", "image_name": "my-flow", "__version__": "0.6.0", "registry_url": "gcr.io/my-registry/", "prefect_version": "master" }, "environment": { "type": "RemoteEnvironment", "executor": "prefect.engine.executors.SynchronousExecutor", "__version__": "0.6.1", "executor_kwargs": {} } } ``` It should mimc that behavior Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: redundant params in base gate and controlled gate In parameterized `ControlledGate`s like CU1, there are separate parameters associated with the ControlledGate and its base_gate. These should be references to each other, otherwise can lead to inconsistencies. ```python from qiskit import * circuit = QuantumCircuit(2) circuit.cu1(0.1, 0, 1) circuit[0][0].base_gate.params >> [0.1] circuit[0][1].params >> [0.1] circuit[0][0].base_gate.params = [0.2] circuit[0][0].base_gate.params >> [0.2] circuit[0][1].params # this has not updated, while the base has updated >> [0.1] ``` 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 dagster-io/dagster codebase. Here's the problem: Testing sensors is not compatible with Definitions ### Dagster version 1.2.3 ### What's the issue? I am writing tests of a multi-asset sensor. I need to give it a context. [The docs](https://docs.dagster.io/concepts/partitions-schedules-sensors/asset-sensors#multi-asset-sensors) tell me to use [build_multi_asset_sensor_context](https://docs.dagster.io/_apidocs/schedules-sensors#dagster.build_multi_asset_sensor_context). That function has a required argument of 'repository_def: RepositoryDefinition`. So to use it, I *must* provide a repository_def. But I don't have a repository definition, since I'm using Definitions. A different page in the docs (the [one for Repositories](https://docs.dagster.io/concepts/repositories-workspaces/repositories#repositories)) has an admonition on the top: > In 1.1.6, we introduced [Definitions](https://docs.dagster.io/_apidocs/definitions#dagster.Definitions), which replaces repositories. While repositories will continue to work, we recommend migrating to Definitions If Definitions are preferred, I think build_multi_asset_sensor_context should accept them. ### What did you expect to happen? Maybe the docs should be consistent in their recommendation, or explain how to work with either system by providing conversion tools, or maybe the build_multi_asset_sensor_context function should accept a Definitions. ### How to reproduce? n/a ### 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 conan-io/conan codebase. Here's the problem: scm.subfolder support only one level of subfolders (not foo/baz/bar) conan v1.6.1, Windows 10, Python 3.6 I'm moving our codebase to conan packages and encountered following error. I have to specify not single directory in `scm.subfolder` attribute, but multiple ones: ```python scm = { "type": "git", "subfolder": "foo/baz/bar", "url": "auto", "revision": "auto", } ``` The reason is that I shouldn't change paths in `#include` directives today and I will update paths in the future. With such recipe conan fails to build missing packages, i.e. `conan install . --build missing` fails with an strange error: `FileNotFoundError: [WinError 3] The system cannot find the path specified: 'C:\\.conan2\\gk8g1phl\\1\\foo\\baz\bar` I think that source of this problem is this line: https://github.com/conan-io/conan/blob/develop/conans/client/tools/scm.py#L20 Could you call `os.makedirs` instead of `os.mkdir`? - [*] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [*] I've specified the Conan version, operating system version and any tool that can be relevant. - [*] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: removing tool.qi.qi.py We need to decide what lives in there and what can go else where. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Rename `SamplePulse` to `Waveform` <!-- ⚠ 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 deprecate the name `SamplePulse` and rename it as `Waveform`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda 4.4 has no difference between 'conda install' and 'conda update' That is, `conda update` installs packages, even if the package isn't already in the environment. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Implement TensorboardLogger Implement a simple Tensorboard logger. No more external dependencies for basic logging! Only question on this one is how to deal with the fact that `SummaryWriter.add_hparams` wasn't added until torch 1.3.0. Right now, I just throw a warning and skip writting hparams to Tensorboard. The only other thing I can think of would be to write the hparams to a text file in the same directory as the TB logs. Closes #588 Closes #265 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: FIXME in `numpy/__init__.py` related to `numpy.lib` imports There is a FIXME comment in `numpy/__init__.py` that doesn't seem to have a corresponding issue on GitHub, at least not one that I noticed with a cursory search of the issues. https://github.com/numpy/numpy/blob/eb167a3fe540780f397a14817f54a95333fbcc6c/numpy/__init__.py#L140-L145 There is additional code in `numpy/__init__.py` related to this FIXME: https://github.com/numpy/numpy/blob/eb167a3fe540780f397a14817f54a95333fbcc6c/numpy/__init__.py#L178-L184 My intent is getting this into the issue tracker so that it can be discussed/documented and synced up with the code comments. If there is an existing issue that I missed, I'd recommend updating the comment in `numpy/__init__.py` to point there. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: load_module will be removed in Python 3.12 Several of our scripts call `spec.loader.load_module()`. Although this mostly affects standalone utils scripts, it's also called at the top level of `processing_utils.py`, which will be executed by all `Processor` classes. `load_module()` has been deprecated for a while and will be fully deleted in Python 3.12, which is entering beta soon. We need to replace this code or the library will not be usable in Py3.12. I can investigate and try to find a suitable replacement when I have time, but if anyone is more familiar with that code and can think of an obvious replacement that achieves the same goal, let me know! cc @sgugger Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Error reporting accessing client.project instead of client._project. [Originally](https://github.com/GoogleCloudPlatform/google-cloud-python/issues/2687#issuecomment-286703711) from @DizzeePascall. When running the examples from the documentation, I get the following error: ``` Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/laurence/miniconda3/envs/sonalytic/lib/python3.5/site-packages/google/cloud/error_reporting/client.py", line 320, in report report_location=report_location) File "/home/laurence/miniconda3/envs/sonalytic/lib/python3.5/site-packages/google/cloud/error_reporting/client.py", line 277, in _send_error_report self.report_errors_api.report_error_event(error_report) File "/home/laurence/miniconda3/envs/sonalytic/lib/python3.5/site-packages/google/cloud/error_reporting/client.py", line 162, in report_errors_api self._report_errors_api = make_report_error_api(self) File "/home/laurence/miniconda3/envs/sonalytic/lib/python3.5/site-packages/google/cloud/error_reporting/_gax.py", line 44, in make_report_error_api return _ErrorReportingGaxApi(gax_client, client.project) AttributeError: 'Client' object has no attribute 'project' ``` Disabling GRPC via the `GOOGLE_CLOUD_DISABLE_GRPC` environment variable fixes this. I'm running on an Ubuntu 14.04 compute instance with python 3.5.3 and version 023.1 of the google-cloud-error-reporting 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 docker/compose codebase. Here's the problem: Add support for tmpfs In the latest release candidate for 1.6.0 the --tmpfs options is not available. Is it possible to add this to the service definition via some other mechanism. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: depend_files in subdir looks in parent Not sure if this is by design, but if I have a subdir with the files `foo.in` and `file`, and: ~~~Meson # meson.build subdir(src) # src/meson.build custom_target('foo', build_by_default : true, depend_files : 'file', input : 'foo.in', output : 'foo.out', command : [ ... ] ) ~~~ then building fails with > ninja: error: '../file', needed by 'src/foo.out', missing and no known rule to make it whereas if I use `files('file')` instead of `'file'` it works. If I put `file` in the parent folder it also builds. I kind of assumed that referring to `'file'` inside the build file of the subdir would just work, like referring to `'foo.in'` does. depend_files in subdir looks in parent Not sure if this is by design, but if I have a subdir with the files `foo.in` and `file`, and: ~~~Meson # meson.build subdir(src) # src/meson.build custom_target('foo', build_by_default : true, depend_files : 'file', input : 'foo.in', output : 'foo.out', command : [ ... ] ) ~~~ then building fails with > ninja: error: '../file', needed by 'src/foo.out', missing and no known rule to make it whereas if I use `files('file')` instead of `'file'` it works. If I put `file` in the parent folder it also builds. I kind of assumed that referring to `'file'` inside the build file of the subdir would just work, like referring to `'foo.in'` does. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: `%matplotlib` + qt5 Support for qt5 was just merged into matplotlib master (https://github.com/matplotlib/matplotlib/pull/3072), however due to the way that `pylabtools` deals with parsing the backend the `%matplotlib` magic does not work correctly with the `Qt5Agg` backend. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: poly1d coefficients appear to be immutable In some older versions of numpy, it was possible to change the coefficients of a `poly1d` object. Now it seems not possible. According to https://github.com/numpy/numpy/issues/9385 I believe the coefficients should still be mutable. ### Reproducing code example: ```python import numpy as np import numpy p = numpy.poly1d((1,1)) print(p) p.c[0]=0 print(p) ``` Both print statements print `array([1, 1])`. ### Numpy/Python version information: I am using numpy version 1.16.2. 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 mesonbuild/meson codebase. Here's the problem: yelp support To make it easy to port GNOME modules from autotools to meson, it'll be nice to have some convenience from meson for building/installing user help pages. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Add support for `np.trace` Goal is to use `@jit` on a function containing a call `np.trace(..)`. My rudimentary attempt to implement via indexing also fails ```python from jax import numpy from jax.api import jit import numpy as onp @jit def trace(A): return np.trace(A) # Exception: Numpy function <function trace at 0x7f89bee1eb90> not yet implemented @jit def trace(A): idx = onp.diag_indices(len(A)) diag = A[idx] # TypeError: No abstraction handler for type: <type 'tuple'> return np.sum(diag) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Deferred TI's `next_method` and `next_kwargs` not cleared on retries ### Apache Airflow version main (development) ### Operating System macOS 11.5.2 ### Versions of Apache Airflow Providers _No response_ ### Deployment Virtualenv installation ### Deployment details _No response_ ### What happened If your first try fails and you have retries enabled, the subsequent tries skip right to the final `next_method(**next_kwargs)` instead of starting with `execute` again. ### What you expected to happen Like we reset things like start date, we should wipe `next_method` and `next_kwargs` so we can retry the task from the beginning. ### How to reproduce _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 google/jax codebase. Here's the problem: more scan jacrev/jacfwd bugs This is a follow up of #711 (different error from #757): ``` python import unittest import numpy as onp import jax.numpy as np import functools import jax from jax.config import config; config.update("jax_enable_x64", True) from jax.experimental import optimizers from jax.test_util import check_grads def harmonic_bond(conf, params): return np.sum(conf * params) opt_init, opt_update, get_params = optimizers.sgd(5e-2) x0 = onp.array([0.5], dtype=onp.float64) params = onp.array([0.3], dtype=onp.float64) def minimize_structure(test_params): energy_fn = functools.partial(harmonic_bond, params=test_params) grad_fn = jax.grad(energy_fn, argnums=(0,)) opt_state = opt_init(x0) # use lax.scan, way faster compilation times. def apply_carry(carry, _): i, x = carry g = grad_fn(get_params(x))[0] new_state = opt_update(i, g, x) new_carry = (i+1, new_state) return new_carry, _ carry_final, _ = jax.lax.scan(apply_carry, (0, opt_state), np.zeros((75, 0))) trip, opt_final = carry_final assert trip == 75 return opt_final initial_params = 0.5 minimize_structure(initial_params) def loss(test_params): opt_final = minimize_structure(test_params) return 1.0 - get_params(opt_final)[0] loss_opt_init, loss_opt_update, loss_get_params = optimizers.sgd(5e-2) jax.grad(loss, argnums=(0,))(initial_params) # okay jax.jacrev(loss, argnums=(0,))(initial_params) # AttributeError: 'JaxTuple' object has no attribute 'broadcast' jax.jacfwd(loss, argnums=(0,))(initial_params) # TypeError: <class 'tuple'> ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: OptimizeSwapBeforeMeasure removes classically conditioned SwapGate <!-- ⚠ 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**: - **Python version**: - **Operating system**: ### What is the current behavior? From https://travis-ci.com/github/Qiskit/qiskit-terra/jobs/495770351#L997: ``` >>> qc = qk.QuantumCircuit.from_qasm_str(''' OPENQASM 2.0; include "qelib1.inc"; qreg q3134[2]; creg c137[1]; cx q3134[1],q3134[0]; h q3134[1]; if(c137==1) swap q3134[1],q3134[0]; measure q3134[1] -> c137[0]; ''') >>> qc.draw() ┌───┐ q3134_0: ┤ X ├────────X────── └─┬─┘┌───┐ │ ┌─┐ q3134_1: ──■──┤ H ├───X───┤M├ └───┘┌──╨──┐└╥┘ c137: 1/══════════╡ = 1 ╞═╩═ └─────┘ 0 >>> qk.transpile(qc, optimization_level=3).draw() ┌───┐ ┌─┐ q3134_0: ┤ X ├─────┤M├ └─┬─┘┌───┐└╥┘ q3134_1: ──■──┤ H ├─╫─ └───┘ ║ c137: 1/═══════════╩═ 0 ``` ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Warn or error out when targets try to link_with: shared modules On osx shared modules are NOT getting -install arguments, (there seems to be a reason for this). But when creating the .symol files, we rely on finding a LC_ID_DYLIB. Which will read to a crash. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: polyval turns masked array into array (Trac #1884) _Original ticket http://projects.scipy.org/numpy/ticket/1884 on 2011-06-28 by trac user mauro, assigned to @pierregm._ When using a masked array as input for polyval, then the return is an array. I think it should be a masked array again (or at least document it that it is not). The fix seems easy, remove the line x = NX.asarray(x) from np.lib.polyval. But presumably that line is there for a 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 Qiskit/qiskit codebase. Here's the problem: CmdDef should have a simpler representation <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? The current `CmdDef`'s, `repr` is based on its underlying dictionary. This quickly becomes complicated. Perhaps something like `CmdDef(commands=['u1','u2','u3','measure','cx'], qubits=[0,1,2,3])` is simpler to take in at a quick glance. cmd_def.get error messaging <!-- ⚠ 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 current behavior? `CMdDef.get` error messaging returns a standard error. For example ``` cmd_def.get('u3', qubits=(1, 0), P0=2*np.pi, P1=0., P2=np.pi) ``` returns ``` 'Command u3 for qubits (1, 0) is not present in CmdDef' ``` because `'u3'` is not a two-qubit gate (wrong user input). ### What is the expected enhancement? A more informative error message could suggest that `'u3'` is present but that the `qubits` argument is wrong. Potentially, the error message could suggest the correct qubits format. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Value "gnu89" (of type "string") for combo option "C language standard to use" is not one of the choices. Possible choices are (as string): "none", "c89", "c99", "c11", "c17", "gnu99", "gnu11". Building glib2 2.62.6 with meson 0.59.1 fails: ``` Value "gnu89" (of type "string") for combo option "C language standard to use" is not one of the choices. Possible choices are (as string): "none", "c89", "c99", "c11", "c17", "gnu99", "gnu11". ``` With meson 0.58.1 there was no such error. See https://trac.macports.org/ticket/63462 In #8766 gnu99 and gnu11 were added to the list of possible choices but for some reason gnu89 was not added? Could you add it, please? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: improve config line magic check for MissUpperCasing and add additional info if there is a case insensitive match on clas if line of the form %config Class.value return the value of the trait instead of just throwing bad usage --- Yes the code is ugly, I'll reread it when I'll be backs. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Store checksum of downloaded (and uploaded) packages Store in the ``metadata.json`` the checksum of the files actually downloaded or uploaded to the servers. We need this data to generate the _build information_ without querying the server again. For Artifactory, the required properties would be ``actual_md5`` and ``actual_sha1``. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: set MASTER_PORT automatically when using DDP, use must set a manual MASTER_PORT. However, we should automatically set one. The problem is that we can't choose a random one as each process might generate a different solution. Instead, I propose to use the SLURM JOB ID as the seed to k possible ports. Then every process can deterministically generate the same sequence of ports. With that list, the root node can init NCCL connection making its way down the list until a port is open. However, if we choose the length of the job id to use correctly we may potentially not run into collisions and won't need to iterate a list of potential ports. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Allow custom_target outputs to be directories Currently we allow this, but that directory can then not be installed: ``` Traceback (most recent call last): File "/home/nirbheek/projects/repositories/github/meson.git/meson.py", line 25, in <module> sys.exit(mesonmain.run(launcher, sys.argv[1:])) File "/home/nirbheek/projects/repositories/github/meson.git/mesonbuild/mesonmain.py", line 242, in run sys.exit(run_script_command(args[1:])) File "/home/nirbheek/projects/repositories/github/meson.git/mesonbuild/mesonmain.py", line 232, in run_script_command return cmdfunc(cmdargs) File "/home/nirbheek/projects/repositories/github/meson.git/mesonbuild/scripts/meson_install.py", line 251, in run do_install(datafilename) File "/home/nirbheek/projects/repositories/github/meson.git/mesonbuild/scripts/meson_install.py", line 54, in do_install install_targets(d) File "/home/nirbheek/projects/repositories/github/meson.git/mesonbuild/scripts/meson_install.py", line 205, in install_targets do_copy(fname, outname) File "/home/nirbheek/projects/repositories/github/meson.git/mesonbuild/scripts/meson_install.py", line 36, in do_copy shutil.copyfile(from_file, to_file) File "/usr/lib64/python3.5/shutil.py", line 114, in copyfile with open(src, 'rb') as fsrc: IsADirectoryError: [Errno 21] Is a directory: 'devhelp' FAILED: install ``` I can't think of a reason to not allow this. Found while investigating #890 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Check CMakeToolchain template variable names homogeneity Currently in the CMakeToolchain we have some variables that are passed to the templates that are uppercase, like `CMAKE_OSX_ARCHITECTURES`, others that are lowercase like `cmake_system_processor`... We should decide a unique criteria for this. This is important because we have mechanism in CMakeToolchain that you can inject different values for the variables inside the blocks' templates like this: ```python # modify one or more variables of the context def generate(self): tc = CMakeToolchain(conanfile) # block.values is the context dictionary build_type = tc.blocks["generic_system"].values["build_type"] tc.blocks["generic_system"].values["build_type"] = "Super" + build_type # modify the whole context values def generate(self): tc = CMakeToolchain(conanfile) tc.blocks["generic_system"].values = {"build_type": "SuperRelease"} ``` So changing in the Conan codebase `build_type` to other name tomorrow will break users... Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Feature-extraction pipeline to return Tensor # 🚀 Feature request Actually, to code of the feature-extraction pipeline `transformers.pipelines.feature-extraction.FeatureExtractionPipeline l.82` return a `super().__call__(*args, **kwargs).tolist()` Which gives a list[float] (or list[list[float]] if list[str] in input) I guess it's to be framework agnostic, but we can specify `framework='pt'` in the pipeline config so I was expecting a `torch.tensor`. Could we add some logic to return tensors ? # Motivation Features will be used as input of other models, so keeping them as tensors (even better on GPU) would be profitable. Thanks in advance for the reply, Have a great day. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Add flag to build environment.yml without build strings https://gitter.im/conda/conda?at=59ef54ebe44c43700a70e9a4 https://twitter.com/drvinceknight/status/922837449092542464?ref_src=twsrc%5Etfw > Due to hashes of packages being introduced in `envinronment.yml` I'm getting all sorts of issues with building envs from file. (Very new problem) test.py error "prefix is not writeable" While attempting to use "pyinstaller" to create a standalone conda-index executable, the resulting binary failed in “conda/gateways/disk/test.py” prefix_is_writable because that method assumes the prefix is a python root directory, and in the case of the standalone, the “prefix” is the executable’s current directory. If I add append sys.executable to the end of the “find_first_existing” call parameter list, then it worked as expected. Of course, this particular writability check seems unnecessary for conda-index, because the only writing is to the target, not the conda-meta directory. Any change that would allow the creation of a standalone conda-index is 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 ipython/ipython codebase. Here's the problem: Template path initialization doesn't handle unicode strings We package IPython as a .par file and for some reason this makes the `_template_path` a unicode string. Unfortunately, this breaks `template_path` initialization in 3.x since that only checks for ascii strings (https://github.com/ipython/ipython/blob/8b0eef4cb37a85b8a35784f82799352188d90ca3/IPython/html/notebookapp.py#L157). The line should instead check whether `_template_path` is not a list. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: make sure conda 4.4 has soft-pinning for python https://github.com/conda/conda/issues/6164#issuecomment-336733311 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [Vala] can't compile files that have the same name but are on different directories When a project has two files with the same name in multiple directories, meson claims that it has `Multiple producers for Ninja target` Here is a branch that adds the required test case https://github.com/tintou/meson/commit/960bf0e921d59d301b29e19596d1b398628d4324 I believe that the issue is located in [`./mesonbuild/backend/ninjabackend.py` line 1136](https://github.com/mesonbuild/meson/blob/master/mesonbuild/backend/ninjabackend.py#L1136) but I have no idea how can I fix this. Thanks in advance Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Make PubSub publisher's batch interfaces private In preparation for GA, we're going to hide some interfaces that users don't need at the moment. We can always make these public in a future minor release. Please make the following items private: 1. https://github.com/GoogleCloudPlatform/google-cloud-python/tree/master/pubsub/google/cloud/pubsub_v1/publisher/batch (rename the whole module to `_batch`). 2. https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/pubsub/google/cloud/pubsub_v1/publisher/client.py#L46 (make the argument private or remove it outright) 3. https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/pubsub/google/cloud/pubsub_v1/publisher/client.py#L105 Make the method private. Make PubSub publisher's batch interfaces private In preparation for GA, we're going to hide some interfaces that users don't need at the moment. We can always make these public in a future minor release. Please make the following items private: 1. https://github.com/GoogleCloudPlatform/google-cloud-python/tree/master/pubsub/google/cloud/pubsub_v1/publisher/batch (rename the whole module to `_batch`). 2. https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/pubsub/google/cloud/pubsub_v1/publisher/client.py#L46 (make the argument private or remove it outright) 3. https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/pubsub/google/cloud/pubsub_v1/publisher/client.py#L105 Make the method private. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Rename or remove aquaerror exception class <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? The aqua error exception class was included as part of #5422 which was a migration of common utils from aqua to terra (in support of future migration, mainly opflow and algorithms). As part of that migration an aqua error exception class was migrated which was used as a common base exception class for exceptions raised from aqua. This no longer applies since the hierarchy has been flattened and it all just lives in qiskit now. Before we release this exception class should either be removed or renamed to better reflect the new structure, and how it's used. I'm thinking we probably should have a base opflow exception and a base algorithms exception class instead. Can you help me debug this systematically and explain your reasoning?