[System] You are an expert software 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: No module named sphinx.util.compat error using `IPython.sphinxext` with Sphinx pre1.7 master branch Trying out `IPython.sphinxext` 6.1.0 with ``Sphinx==1.7.dev20170617`` I get the following error on a Sphinx project: ``` Extension error: Could not import extension IPython.sphinxext.ipython_directive (exception: No module named 'sphinx.util.compat') ``` Indeed, the `sphinx.util.compat` is deprecated at 1.6 and will be [removed at Sphinx 1.7](https://github.com/sphinx-doc/sphinx/blob/3d5e0c5d7/CHANGES#L45). To reproduce, in a virtual env with IPython 6.1.0 run pip install git+https://github.com/sphinx-doc/sphinx and then ``` mkdir /tmp/IPython-test cd /tmp/IPython-test yes "n" | sphinx-quickstart --dot _ --project IPython-test --author "Example" -v 0 --release 0 --language en --suffix .rst --master index --makefile --batchfile . echo ' extensions = [ "IPython.sphinxext.ipython_directive", ] ' >> conf.py make html ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Function name printing should use __qualname__ instead of __name__ (Python 3) There is a bug in the formatting of functions belonging to a class in IPython 2.0.0 running in Python3. ``` In [1]: class A: ...: def f(self): ...: pass ...: In [2]: A.f Out[2]: <function __main__.f> In [3]: str(A.f) Out[3]: '<function A.f at 0x10b283840>' ``` The function name formatting is using the `__name__` attribute of the function instead of `__qualname__`, which results in incorrectly showing the function `f` here in our example belongs to `__main__` instead of `__main__.A`. A quick fix would be a one line change in https://github.com/ipython/ipython/blob/master/IPython/lib/pretty.py#L749 to use `__qualname__` instead, but will break in Python 2.x as there is no `__qualname__` support. ``` def _function_pprint(obj, p, cycle): """Base pprint for all functions and builtin functions.""" if obj.__module__ in ('__builtin__', 'builtins', 'exceptions') or not obj.__module__: name = obj.__name__ else: name = obj.__module__ + '.' + obj.__name__ # use obj.__qualname__ p.text('<function %s>' % name) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Add help string for xmode When an exception occurs, IPython displays it with its own fancy traceback formatter. I don't mind the coloured output, but the visually expanded display feels much more cumbersome to me with long tracebacks. I would therefore like to revert to the standard Python excepthook Unfortunately, setting `__excepthook__` from the console doesn't work (IPython overrides the newly-set value), therefore it would be nice to get a configuration option for 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 apache/mxnet codebase. Here's the problem: python doc error in KVstore example in the KVstore example: ``` python >>> def update(key, input, stored): >>> print "update on key: %d" % key >>> stored += input * 2 >>> kv.set_updater(update) ``` where `kv.set_updater` should be `kv._set_updater(update)` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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.marshal() accept files in addition to strings for the sources Hello! Since meson > 0.61 the method [gnome.marshal()](https://mesonbuild.com/Gnome-module.html#gnomegenmarshal) doesn't accept anymore a list of files for the parameter `sources`. According to the documentation this is correct: ``` sources []str required: List of string sources to consume sources: the list of sources to use as inputs ``` I assume a more strict and therefore better type checking. The maintainers of gnome-terminal [prefer](https://gitlab.gnome.org/GNOME/gnome-terminal/-/issues/7886#note_1355184) to keep passing files. Is it possible to extend the API? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Add DINOv2 to Transformers ### Feature request Add DINOv2 to the transformers library. Weights are available in [DINOv2 repo](https://github.com/facebookresearch/dinov2) ### Motivation Currently, DINOv2 can be used through `torch.hub.load`, but having it ported to transformers directly would be nice to have, and since DINOv1 is already in the library it might not be that difficult to do ### Your contribution I would love to do a PR to make this addition in the case that it's actually not something hard to do and someone could point me the way that I should look at. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Kernel Adapter might append too late Found out with julia, if I aggressively ask for completion before kernel fully started I got : ``` KERNEL EXCEPTION key not found: "inspect_request" in eventloop at /Users/bussonniermatthias/.julia/v0.4/IJulia/src/IJulia.jl:123 in anonymous at task.jl:340 ``` Which adapter should have translated. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Environment QA check prior to push Prior to pushing docker based environments, we should do a quick health check to ensure the container can at least get the flow to a Running state. This will require executing a few basic commands in the container which deserialize the flow and report any errors that arise in the process; otherwise, the image is pushed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 option --rm to `fig run` Most of the time, I clean up containers create with `fig run`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the explosion/spaCy codebase. Here's the problem: Lemmatization errors when text contains contracted forms of 'be' I've noticed some inconsistent behavior here: nlp = spacy_nlp(u"I'm hungry. You're hungry. He's hungry. It's hungry. We're hungry. They're hungry.") for tok in nlp: print tok, tok.lemma_ Gives output: I i 'm be hungry hungry . . You you 're 're hungry hungry . . He he 's ' hungry hungry . . It it 's ' hungry hungry . . We we 're 're hungry hungry . . They they 're 're hungry hungry . . A related error is for "won't" (and for the much rarer "shan't"): nlp = spacy_nlp(u"They won't move.") for tok in nlp: print tok, tok.lemma_ They they wo wo n't not move move . . I think I once even saw a similar lemmatization error for "can't", but I am not able to recreate this error. ## Your Environment <!-- Include details of your environment --> OSX 10.11.6 Spyder 3.0.0 spaCy 1.2.0 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: Don't completely fail when failing to parse an error See #1438 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 docker:stable to your build matrix It seems like installing Compose on docker:stable inside a GitLab CI build is a pretty popular workflow (see #6617). In this issue, @ulyssessouza said: > This is related to the new SSH support which added some new dependencies. On our test systems these dependencies are already available once pip is installed. https://github.com/docker/compose/issues/6617#issuecomment-477974325 **Should you add this configuration to your build matrix?** Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Notebook.ipynb CR+LF turned into CR+CR+LF Loading a Notebook created with IPython 2.2 under Windows ![before](https://cloud.githubusercontent.com/assets/6342379/4499728/cdf16498-4a86-11e4-9a00-6f54eaa7d1aa.png) when saved with IPython 2.3 results in ![after](https://cloud.githubusercontent.com/assets/6342379/4499735/e3221402-4a86-11e4-9d42-8fcc59d2cb73.png) Similar to #3819 and #4122 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Validate input when setting the QuantumCircuit data attribute directly Similar to #2170 , but for `QuantumCircuit`. The possibility of arbitrary data in `circuit.data` makes modifying or replacing the internals of `QuantumCircuit` difficult and error prone (see discussion around `circuit._append` in #2824 ). We should: - Move `circuit.data` to `circuit._data` - Add a getter for `circuit.data` and document it as a ordered list of `(Instruction, qargs, cargs)`. It's an open question whether or not we should commit to preserving user-insertion order. - Add a setter for `circuit.data` with a `DeprecationWarning`, directing users to e.g. `QuantumCircuit.append` and the rest of the circuit API. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Is the addition of the 'OPTforSequenceClassification' class scheduled? ### Feature request Is the addition of the 'OPTforSequenceClassification' class scheduled? Is someone handling it? When adding these functions, I wonder if it is possible to PR one by one, or if I have to PR all classes supported by other models. ### Motivation Added function of OPT class, which is being actively discussed recently ### Your contribution I personally use the forSequenceClassification class because I need it for my experiments, but I would like to inquire if I can contribute to the addition of the 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 google/jax codebase. Here's the problem: `jax.jit` should report an error immediately for uncallable arguments `jax.jit(3)` silently succeeds (although `jax.jit(3)(4)` returns the expected error). The `callable` builtin seems applicable here. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: LocalExecutor leads to multi-thread run This one is related to issue #1145 . In the latest version 0.7.0, the default executor is already set to LocalExecutor. According to the [document](https://docs.prefect.io/api/unreleased/engine/executors.html#executor) , LocalExecutor is not capable of parallelism and runs all functions synchronously and immediately in the main thread. So I expect this would fix #1145 naturally. But it turned out that the tasks were still running in "parallel". Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Different meanings set on values when reading null Hey, we have a list in our datastore with ids and sometimes nulls in it. Like here: ``` ["null","null","a953c730fc2e4647b3a5b4e88fa4f0ce","59ce754ddf03401eb09abd50c977cf67","null"] ``` When we try to fetch them, we get the "Different meanings set on values within a list_value" Exception. Is this a bug, that the method does not handles null? [`_get_meaning` Method](https://github.com/GoogleCloudPlatform/gcloud-python/blob/efc1d41d230330fdd2f3c5c8df493b1ffb654be5/gcloud/datastore/helpers.py#L73): ``` python def _get_meaning(value_pb, is_list=False): meaning = None if is_list: # An empty list will have no values, hence no shared meaning # set among them. if len(value_pb.list_value) == 0: return None # We check among all the meanings, some of which may be None, # the rest which may be enum/int values. all_meanings = set(_get_meaning(sub_value_pb) for sub_value_pb in value_pb.list_value) meaning = all_meanings.pop() # The value we popped off should have been unique. If not # then we can't handle a list with values that have more # than one meaning. if all_meanings: raise ValueError('Different meanings set on values ' 'within a list_value') elif value_pb.meaning: # Simple field (int32) meaning = value_pb.meaning return meaning ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 4.3.4 seems to be broken ``` bag@bag ~ % conda --version conda 4.3.4 bag@bag ~ % conda install -y --file https://raw.githubusercontent.com/bioconda/bioconda-utils/master/bioconda_utils/bioconda_utils-requirements.txt CondaError: Downloaded bytes did not match Content-Length url: https://raw.githubusercontent.com/bioconda/bioconda-utils/master/bioconda_utils/bioconda_utils-requirements.txt target_path: /tmp/tmpUp36pQ/bioconda_utils-requirements.txt Content-Length: 195 downloaded bytes: 310 bag@bag ~ % ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: [couch] error "local variable 'db_stats' referenced before assignment" I just started using datadog and have an issue getting the couch integration to run (on MacOS Sierra). `/usr/local/bin/datadog-agent info` reports this: ```` Checks ====== ntp --- - Collected 0 metrics, 0 events & 1 service check disk ---- - instance #0 [OK] - Collected 44 metrics, 0 events & 1 service check network ------- - instance #0 [OK] - Collected 27 metrics, 0 events & 1 service check couch ----- - instance #0 [ERROR]: "local variable 'db_stats' referenced before assignment" - Collected 0 metrics, 0 events & 2 service checks Emitters ======== - http_emitter [OK] =================== Dogstatsd (v 5.8.0) =================== Status date: 2017-02-22 17:11:34 (8s ago) Pid: 85989 Platform: Darwin-16.4.0-x86_64-i386-64bit Python Version: 2.7.11, 64bit ```` To me, `local variable 'db_stats' referenced before assignment` looks like an error in the couchdb integration library. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: "docker-compose config" produces invalid content When generating docker-compose config from a combination of `docker-compose.yml` and a `docker-compose.override.yml`, compose might leave behind empty properties. Consider we have these two config files: ```yml # docker-compose.yml version: '2.2' services: test: logging: driver: gelf options: gelf-address: localhost image: busybox ``` and ```yml # docker-compose.override.yml version: '2.2' services: test: logging: driver: json-file ``` Let's generate a new config out of these: ```bash $ docker-compose config > test.yml ``` Here's the result: ```yml # test.yml services: test: image: busybox logging: driver: json-file options: null # <- The problem version: '2.2' ``` Now if we try to use the generated config we'll get the following: ```bash $ docker-compose -f test.yml config ERROR: The Compose file './test.yml' is invalid because: services.test.logging.options contains an invalid type, it should be an object ``` Versions: ```bash $ docker-compose version docker-compose version 1.15.0, build e12f3b9 docker-py version: 2.4.2 CPython version: 2.7.12 OpenSSL version: OpenSSL 1.0.2j 26 Sep 2016 ``` ``` $ docker version Client: Version: 17.07.0-ce-rc1 API version: 1.31 Go version: go1.8.3 Git commit: 8c4be39 Built: Wed Jul 26 05:20:09 2017 OS/Arch: darwin/amd64 Server: Version: 17.07.0-ce-rc1 API version: 1.31 (minimum version 1.12) Go version: go1.8.3 Git commit: 8c4be39 Built: Wed Jul 26 05:25:01 2017 OS/Arch: linux/amd64 Experimental: 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 apache/airflow codebase. Here's the problem: Connections import and export should also support ".yml" file extensions ### Apache Airflow version 2.2.4 (latest released) ### What happened Trying to export or import a yaml formatted connections file with ".yml" extension fails. ### What you think should happen instead While the "official recommended extension" for YAML files is .yaml, many pipeline are built around using the .yml file extension. Importing and exporting of .yml files should also be supported. ### How to reproduce Running airflow connections import or export with a file having a .yml file extension errors with: `Unsupported file format. The file must have the extension .env or .json or .yaml` ### Operating System debian 10 buster ### Versions of Apache Airflow Providers _No response_ ### Deployment Docker-Compose ### Deployment details _No response_ ### Anything else _No response_ ### Are you willing to submit PR? - [X] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Plot_state_city origin axis not centered   ### Information - **Qiskit Terra version**: 0.9.0 - **Python version**: 3.7.3 - **Operating system**: MacOS ### What is the current behavior? When creating a real or imaginary plot with both positive and negative values, the origin axis is not centered.  ### Steps to reproduce the problem Create a plot_state_city plot that has both positive and negative values. ### What is the expected behavior? On a previous version of plot_state_city (#1540), the origin axis does not appear to have an offset.  ### Suggested solutions Currently looking through the older version to try and identify the source of change. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Int64 CheckValue in datastore.helpers returns None instead of the value. We current do "return INT64(val)", however INT64 returns nothing. We need to run this method, and _then_ return the value. See: https://code.google.com/p/protobuf/source/browse/trunk/python/google/protobuf/internal/type_checkers.py?r=163#100 returns None. We need to _check_ and then return "val". and https://github.com/GoogleCloudPlatform/gcloud-python/blob/1779aeccdea1f2557e5e2cf80e448d0b64f48527/gcloud/datastore/helpers.py#L59 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Turning off Verbosity on QA model using Pipeline Hi, I am looking for a way to turn off the logs warnings. Please refer to the screenshot. ![image](https://user-images.githubusercontent.com/34964824/79020501-9e2a9100-7b3e-11ea-8f63-afb26b11a5a1.png) This is currently what I am doing. ![image](https://user-images.githubusercontent.com/34964824/79020549-ba2e3280-7b3e-11ea-893d-a527939181a7.png) Is there any way? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the gitpython-developers/GitPython codebase. Here's the problem: How do I make commits with a specified date? I can't seem to find out how to make commit with specifying `author_date` and `commit_date`, but it did not really work: ``` import git ... repo = git.Repo.init(repo_path) repo.index.add(['some_file']) repo.index.commit(message, authored_date=commit_date, committed_date=commit_date) ``` throws: ``` TypeError: commit() got an unexpected keyword argument 'authored_date' ``` Then I looked at the [source](https://github.com/gitpython-developers/GitPython/blob/master/git/objects/commit.py#L269) and found out it does not really have parameters for commit datetime. (or am I missing something? Would you be interested in a PR which adds these parameters? I am interested to learn and make contribution :smile: ) So, I either I have to create a commit then change dates (using [`Commit`](http://gitpython.readthedocs.org/en/stable/tutorial.html#the-commit-object) object) or use [git directly](http://gitpython.readthedocs.org/en/stable/tutorial.html#using-git-directly). or set OS envs before commit call: ``` ... os.environ['GIT_AUTHOR_DATE'] = date_in_iso os.environ['GIT_COMMITTER_DATE'] = date_in_iso repo.index.commit(message) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Release spanner 1.2.0 Batch query support is merged. Note that `development_status` is still showing beta. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: barriers are ignored in QuantumCircuit.depth() The depth method on QuantumCircuit ignores barriers: ```python from qiskit import QuantumCircuit circ_serial = QuantumCircuit(4) circ_serial.h(0) circ_serial.cx(0, 1) circ_serial.barrier() circ_serial.h(2) circ_serial.cx(2, 3) print(circ_serial) print('depth: ', circ_serial.depth()) circ_parallel = QuantumCircuit(4) circ_parallel.h(0) circ_parallel.cx(0, 1) circ_parallel.h(2) circ_parallel.cx(2, 3) print(circ_parallel) print('depth: ', circ_parallel.depth()) ``` ``` ┌───┐ ░ q_0: |0>┤ H ├──■───░─────────── └───┘┌─┴─┐ ░ q_1: |0>─────┤ X ├─░─────────── └───┘ ░ ┌───┐ q_2: |0>───────────░─┤ H ├──■── ░ └───┘┌─┴─┐ q_3: |0>───────────░──────┤ X ├ ░ └───┘ depth: 2 ┌───┐ q_0: |0>┤ H ├──■── └───┘┌─┴─┐ q_1: |0>─────┤ X ├ ┌───┐└───┘ q_2: |0>┤ H ├──■── └───┘┌─┴─┐ q_3: |0>─────┤ X ├ └───┘ depth: 2 ``` The depth method on DAGCircuit is correct however: ```python from qiskit.converters import circuit_to_dag circuit_to_dag(circ_serial).depth() ``` ``` 5 ``` Note: `snapshot` should also behave similarly to `barrier` and extend the depth. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: distributed eval cleanup - [x] local_rank 0 logging - [x] local_rank 0 tqdm - [x] same scores as `run_eval.py` - [x] deeper investigation of non-determinism. Gens the same. Labels different? - [x] save json to one line. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Mapping w/ SKIP signals doesn't work as intended Consider the following flow: ```python from prefect import * @task def my_list(): return [1, 2, 3] @task def add(x): if x == 1: raise engine.signals.SKIP("One is no good") else: return x + 1 with Flow() as f: res = add.map(add.map(my_list)) flow_state = f.run(return_tasks=f.tasks) ``` We expect `flow_state.result[res]` to be a list with 1 Skipped state and 2 success states with result values 4 and 5. However, instead, the entire second mapping is skipped: ```python flow_state.result {<Task: add>: [Skipped("One is no good"), Success("Task run succeeded."), Success("Task run succeeded.")], <Task: my_list>: Success("Task run succeeded."), <Task: add>: Skipped("Upstream task was skipped; if this was not the intended behavior, consider changing `skip_on_upstream_skip=False` for this task.")} ``` **cc:** @jlowin Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Support stepping options for lr scheduler Currently schedulers get called every epoch. Sometimes though, we want them to be called every step. Proposal 1: Allow configure_optimizers to return this: ```python return Adam, {'scheduler': LRScheduler, 'interval': 'batch|epoch'} ``` @ethanwharris @Borda thoughts? any simpler more general way of doing this? i think this dict can eventually have more options if we need to. @srush Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Compatibility shims for future releases * filter loaded repodata on repodata_version * split matchspec on `" if "` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Using multiple SamplePulses with the same name overwritten in Qobj pulse library <!-- ⚠ 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? In the Qobj specification, pulse are identified by their name. In the pulse module pulses are identified by their object instance and when assembled are stored in the Qobj pulse library by name. If two `SamplePulse`s of the same name exist, the second will overwrite the first, causing undesired behaviour. ### Steps to reproduce the problem Create a pulse schedule with two different pulses of the same name and assemble into a Qobj. ### What is the expected behavior? Unique pulses should be stored uniquely in the Qobj pulse library. ### Suggested solutions If a name collision occurs when building the pulse library. Modify the name of the sample pulse in some consistent manner, and adjust the commands that refer to this pulse. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Move Hadoop distro out of CI image **Description** Hadoop distro is unnecessarily part of the CI image. It should be moved out and used separately **Use case / motivation** Download and install Hadoop image only when needed not as part of the CI image (as separate integration). This will make the image smaller and the whole process smoother. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Make ctypes completely optional on Windows There are a couple of places where `ctypes` is presumed to be available, which means `numpy` cannot be imported on systems/distributions that do not include it. These are [`_dtype_ctypes.py`](https://github.com/numpy/numpy/blob/master/numpy/core/_dtype_ctypes.py), and the [`_distributor_init.py`](https://github.com/numpy/numpy/blob/bfb156741a92f77c13c50d82fc5a1f4d6177a9f5/tools/openblas_support.py#L197) generated for `libopenblas`. The `_dtype_ctypes` module seems easy enough to update to match the other ctypes-using modules (or simply delay the [eager import](https://github.com/numpy/numpy/blob/master/numpy/core/__init__.py#L100) or handle it failing). I can't find any uses in numpy itself though, so I have no idea what its compatibility constraints are. The `_distributor_init.py` file is somewhat redundant with the [generated `__config__.py`](https://github.com/numpy/numpy/blob/8087e1de04d011f7ce66bf80dbef4a0599b14f7a/numpy/distutils/misc_util.py#L2289), but could also just do nothing when ctypes fails to import. I'm happy to send a PR, but it's not obvious which fixes would be preferred. If I were going to keep it simple, I'd defer the `import ctypes` in `_dtype_ctypes` into the function(s) that use it, and add an early exit from the `_distributor_init.py` when ctypes is unavailable. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 doesn't automatically call ldconfig We received an issue in fwupd (https://github.com/hughsie/fwupd/issues/914) that indicated that an application wasn't working properly after installed. The issue ended up being that libraries were installed into `/usr/local/lib/$(triplet)` which was referred to in a file in `/etc/ld.so.conf.d` however since `ldconfig` wasn't run `/etc/ld.so.cache` wasn't refreshed and the application was failing to run. So I wanted to see what thoughts were on setting default behavior of `ninja install` to call `ldconfig`, but let distros such as those using deb or rpm with delayed callbacks turn this behavior off. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 pxla.ShardedDeviceArray to jaxval_zeros_likers This is a one-line fix at https://github.com/google/jax/blob/master/jax/lax/lax.py#L1503 Just adding this as an issue as a reminder for @mattjj Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: API Endpoint - Health - Spec and impelementataion **Description** There is no endpoint to check if the instance is in good condition We need to prepare the change to the API specification and then implement this change. More information about API Endpoints: https://github.com/apache/airflow/issues/8118 **Use case / motivation** N/A **Related Issues** N/a Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Remove SLURM warning when in interactive mode No need to show the "we launched processes for you" warning when in interactive SLURM mode. Suggested by @adefazio Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Simplify back CheckMap pass The goal of `CheckMap` pass is to check that the swapper fulfilled its promise. No more than that. Therefore, `is_swap_mapped` should also be renamed to `requires_swap` (and inverted). The direction checked can be done by a different pass `CheckCnotDirection`, so the property `is_direction_mapped` should be removed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Consider a --force-recreate-volumes flag If I have an image that defines a volume, the container ends up with an anonymous docker volume. This leads to issues like #4476 where I can't add `volumes_from:` if I've previously forgotten it. Another use case I've encountered is when you have an image that populates a volume: ``` FROM base/almost_empty:1.0.0 ENV AIRFLOW_HOME /usr/local/airflow COPY ./foo ${AIRFLOW_HOME}/stuff/foo/ VOLUME ${AIRFLOW_HOME}/stuff ``` In this case, when I update to a newer version of my image, I want a new volume with the latest version of `foo`. At the moment, I can do `docker-compose down && docker-compose up`, but this recreates every single container in my docker-compose.yml. Alternatively, I can do `docker-compose rm xyz && docker-compose up`. However assumes that I know which containers to run `docker-compose rm` on. Would you be willing to add a `--force-recreate-volumes` argument? This would be a huge help for these use cases. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Consider depending on `azure-keyvault-secrets` instead of `azure-keyvault` metapackage ### Description It appears that the `microsoft-azure` provider only depends on `azure-keyvault-secrets`: https://github.com/apache/airflow/blob/388723950de9ca519108e0a8f6818f0fc0dd91d4/airflow/providers/microsoft/azure/secrets/key_vault.py#L24 and not the other 2 packages in the `azure-keyvault` metapackage. ### Use case/motivation I am the maintainer of the `apache-airflow-providers-*` packages on `conda-forge` and I'm running into small issues with the way `azure-keyvault` is maintained as a metapackage on `conda-forge`. I think depending on `azure-keyvault-secrets` explicitly would solve my problem and also provide better clarity for the `microsoft-azure` provider in general. ### Related issues https://github.com/conda-forge/azure-keyvault-feedstock/issues/6 https://github.com/conda-forge/apache-airflow-providers-microsoft-azure-feedstock/pull/13 ### Are you willing to submit a PR? - [X] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Review the messages encouraging the use of slower Python simulators alternatives ### What is the expected enhancement? After #1484 Python and C++ simulators no longer live under the same `Aer` provider but they are split between `Simulators` and `LegacySimulators` providers respectively. `Simulators` make it clear they are the built-in simulators coming with the foundational Terra element but now, strings such as: > The 'qasm_simulator' backend is not installed in your system. Consider using a slower backend alternative: 'qasm_simulator_py' Does not make sense. What should we do? Using `LegacySimulators.get_backend()` prints a deprecated warning. Should we simply remove these messages? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Continuous memory leak There is a memory leak in the parent process of Celery's worker. It is not a child process executing a task. It happens suddenly every few days. Unless you stop Celery, it consumes server memory in tens of hours. This problem happens at least in Celery 4.1, and it also occurs in Celery 4.2. Celery is running on Ubuntu 16 and brokers use RabbitMQ. ![memory](https://user-images.githubusercontent.com/280983/41805959-fcdd7700-76ed-11e8-9e02-db322818e924.jpeg) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Consider to add Macos.version sub-setting In order to manage `-mmacosx-version-min` especially important if you are buildings apps for OSX we would need a `version` subsetting similar to the Ios, watchos, tvos, etc. It could be added with a None default to not break current packages. Our current `apple_deployment_target_flag` tool, introduced in `1.4` needs a `os_version` but we don't have a model nor detection mechanism to provide it. Looks like the subsetting is needed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Evolution gates <!-- ⚠ 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 behavior? Implement an evolution gate that can get synthesized into Pauli-evolution gates (or for a simulator backend just with direct matrix exponentiation) such that the compiler can perform optimizations on blocks of evolved Pauli operators before further decomposing into basis gates. Here's a preliminary design doc: https://gist.github.com/Cryoris/abc9753fd7dfb0cc3b3a83aa58a182e3 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 env giving strange non-blocking behavior on Windows Using conda 4.4.4, this is happening in both the Anaconda prompt and Git Bash. To reproduce, simply run `conda env -h`. The prompt will return and it seems like conda is run in the background, producing output a few seconds later. Strangely enough, this doesn't happen when running `conda-env -h`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Refactor secret-dependent tasks to use new secrets API ## Current behavior *Please describe how the feature works today* Currently, many tasks in the task library expect a secret name, which they load to access credentials. ## Proposed behavior *Please describe your proposed change to the current behavior* With the new secrets API introduced in https://github.com/PrefectHQ/prefect/pull/1664, these tasks should actually accept a secret *value* at run time. We can leave the secret-name behavior in place, raising a deprecation warning, and simply prefer a secret value if provided. ## Example *Please give an example of how the enhancement would be useful* #### Old Way ```python with Flow("example") as flow: bigquery_download = BigQueryTask(credentials_secret='gcs_creds') ``` #### New Way ```python with Flow("example") as flow: gcs_creds = Secret('gcs_creds') bigquery_download = BigQueryTask(credentials=gcs_creds) ``` Though it adds a line, the advantage of the new way is that the secret mechanism is exposed, pluggable, and introspectable. The old way required whatever secret API was embedded in the task (currently, Prefect Cloud / local secrets) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Weird behavior of structured_to_unstructured on non-trivial dtypes With the following helpers: ```python import numpy.lib.recfunctions as rfn def subarray(dt, shape): return np.dtype((dt, shape)) def structured(*dts): return np.dtype([('x{}'.format(i), dt) for i, dt in enumerate(dts)]) def inspect(dt): arr = np.zeros((), dt) ret = rfn.structured_to_unstructured(arr) print(ret.shape, ret.dtype) ``` We can try a bunch of uses of `structured_to_unstructured` (added in #11526): ```python >>> inspect(structured(int, int)) (2,) int32 # obviously ok >>> inspect(structured(int, structured(int, int))) (3,) int32 # nested types are flattened, ok >>> inspect(structured(int, subarray(int, 2))) (3,) int32 # ok: 1 + 2 >>> inspect(structured(int, subarray(int, (2, 2)))) (5,) int32 # ok: 1 + 2*2 ``` Here's where things start to go bad: ```python >>> inspect(structured(subarray(structured(int, int), 3))) (3,) [('x0', '<i4'), ('x1', '<i4')] # bug? ``` ```python >>> inspect(structured(subarray(subarray(int, 2), 2))) (2, 2) int32 # bug ``` ```python >>> inspect(structured(int)) () int32 # bug ``` (#13334) ```python >>> inspect(structured(int, subarray(subarray(int, 2), 2))) TypeError: invalid type promotion ``` ```python >>> inspect(structured()) dts, counts, offsets = zip(*fields) ValueError: not enough values to unpack (expected 3, got 0) ``` A lot of this behavior looks undesirable to me. @ahaldane, which cases were actually intended to be supported? Rather than locking ourselve into some of these weird constucts, we might want to raise an error for anything non-trivial. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 code examples to Result Handler concept docs The docs for results and result handlers could use some code examples either in the concept doc itself or linking to other tutorials/examples around using results https://docs.prefect.io/core/concepts/results.html Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Chain exceptions where appropriate Picking up from #15731, there are many places in numpy where we do something like: ```python try: something_which_throws_typeError except TypeError: raise ValueError("a clearer explanation of what went wrong") ``` It would produce a marginally clearer error if we could change these to use traceback chaining. Our two options are either: 1. The inner error provides valuable information that is not present in the outer error. We should use `from e`. ```python try: something_which_throws_typeError except TypeError as e: raise ValueError("a clearer explanation of what went wrong") from e ``` 2. The inner error provides no valuable information that is not present in the outer error. We should use `from None`: ```python try: some_dict[name] except KeyError: raise ValueError("The name %s is not supported" % name) from None ``` In that example all the information from the `KeyError` is already in the message of the new error, so there is no point chaining An example of such a change would be [this line](https://github.com/numpy/numpy/pull/15731/files#diff-e55dc29434893b7f529192a2e77e9b07R7070) of this otherwise-discarded patch. For now, I would recommend we only apply this to cases where the exception is thrown unconditionally, as other cases can be more nuanced. --- ### Please see [this list](https://github.com/numpy/numpy/issues/15986#issuecomment-660762674) for potential places to contribute. Special thanks to @nkleinbaer for compiling the 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 conan-io/conan codebase. Here's the problem: [feature] CMakeToolchain support for linker scripts When building an ELF executable for bare-metal targets it is normal to include a linker script to define the memory layout of the specific target microcontroller. It is possible to use multiple linker scripts, too. Each one is passed with the `-T` flag when using GCC. I don't think this actually needs to be applied to dependencies, only the final executable that will be loaded on the microcontroller. It would be great if there was an easy way to configure this for the CMakeToolchain generator. If it only needs to be applied to the consumer, perhaps the CMakeToolchain generator could define a dedicated block for this. I'm not sure if there should be additional ways to configure linker scripts, but there might be some good ideas out there. - [X] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Incorrectly detected arch on aarch64 As per the title, conda currently only knows about the usual x86, x86_64 and armv7l architectures. Since aarch64 systems are compatible with armhf binaries, conda just needs to alias 'aarch64' to 'armv7l'. The only hitch involved in approaching the problem via such an alias is that the armhf linker (ld-linux-armhf) may not be installed - its a rare situation currently, since most ARM systems opt for a 64bit kernel/32 bit userspace due to the rarity of 64 bit ARM binaries. The user (with sudo privileges) would need to install the linker in such a situation. See [PR 4809](https://github.com/conda/conda/pull/4809) for implementation. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Latex drawer should prioritize instruction label over name # Information - **Qiskit Terra version**: master - **Python version**: 3.7 - **Operating system**: MacOS ### What is the current behavior? When an instruction has a label, the label should be used. If a no-boxing instruction has a label, a box should be used. ### Steps to reproduce the problem ```python from qiskit import QuantumRegister, QuantumCircuit from qiskit.extensions import XGate, UnitaryGate, CzGate import numpy qr = QuantumRegister(2) circ = QuantumCircuit(qr) circ.append(XGate(), [qr[0]]) circ.append(XGate(label='alt-X'), [qr[0]]) circ.append(UnitaryGate(numpy.eye(4)), [qr[0], qr[1]]) circ.append(UnitaryGate(numpy.eye(4), label="iswap"), [qr[0], qr[1]]) circ.append(CzGate(), [qr[0], qr[1]]) circ.append(CzGate(label='cz label'), [qr[0], qr[1]]) circ.draw('latex') ``` ![image](https://user-images.githubusercontent.com/766693/73396177-db58e400-42ae-11ea-891d-19698fbacf89.png) ### What is the expected behavior? Something like the text drawer: ``` ┌───┐┌───────┐┌──────────┐┌────────┐ ┌───────────┐ q2_0: |0>┤ X ├┤ alt-X ├┤0 ├┤0 ├─■─┤0 ├ └───┘└───────┘│ Unitary ││ iswap │ │ │ cz label │ q2_1: |0>──────────────┤1 ├┤1 ├─■─┤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 googleapis/google-cloud-python codebase. Here's the problem: Synchronous query API hides job Under the covers, the resources returned by [synchronous `jobs/query` API](https://cloud.google.com/bigquery/docs/reference/v2/jobs/query) and the [follow-on `jobs/getQueryResults` API](https://cloud.google.com/bigquery/docs/reference/v2/jobs/getQueryResults) obscure most information found in the underlying [`jobs` resource](https://cloud.google.com/bigquery/docs/reference/v2/jobs#resource) for the query job. I'm up against this issue while trying to implement `Client.list_jobs`, which calls the [`jobs/list` API](https://cloud.google.com/bigquery/docs/reference/v2/jobs/list) and tries to return instances of the appropriate job class. That API call returns job resources for synchronous queries which are effectively indistinguishable from those created for asynchronous queries (I've only been able to tell them apart by checking that the `datasetId` of the `destinationTable` does not match any of the "public" datasets for the project). Because of this discrepancy, I believe that the current `jobs.RunSyncQueryJob` class is misnamed: instead, it should be called something like `query.QueryResults`: this new/renamed class would not pretend to be a job, but instead would have a `job` accessor which created/returned a `jobs.QueryJob` instance (which would be renamed from the current `jobs.RunAsyncQueryJob`). `Client.list_jobs` would then always return instances of `jobs.QueryJob`, even for synchronous queries. @dhermes, @jgeewax please comment if you disagree with this conclusion. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `auth login` CLI check needs token required query ## Description `prefect auth login` runs a graphql query to verify the token provided is valid. The current query is `query { hello }` and this query does not require authentication. This query needs to be updated to one which requires authentication (which is every other query, let's just find the smallest one) ## Expected Behavior If the token is invalid it should elevate an error to the user ## Reproduction Query the API with `query { hello }` without a token and it will still work. ## Environment N/A Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 does not prompt for proxy username and password ``` [ COMPLETE ] |#################################################| 100% The batch file cannot be found. C:\Code>conda update conda Fetching package metadata: .Error: HTTPError: 407 Client Error: Proxy Authentication Required: http://repo.continuum.io/pkgs/pro/win-64/ ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: remove cast_unicode from the %save magic. This needs to find wether in `code.py` line 336 cmds is always str, if not cast upstream, and repeat. ``` cmds = self.shell.find_user_code(codefrom,raw) ``` - [x] Does find_user_code(codefrom,raw) always return a string ? (interactiveshell.py:3568) - [x] `self.extract_input_lines(target, raw=raw)` str ? - [x] `openpy.read_py_url(target, skip_encoding_cookie=skip_encoding_cookie)` str ? - [x] `source_to_unicode` str ? - [x] `return response.read().decode('latin1')` str ? yes. - [x] `return object_info['source']` str ? - [x] `type self.object_inspect(target, detail_level=1)` ? Dict[str, str| None] - [x] `self.inspector.info` return type ? Dict[str, str| None] - [x] `oinspect.object_info` return type ? Dict[str, str| None] - [x] `return Macro.value` str ? yes - [x] `return f.read()` str ? Yes open file latin 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 mesonbuild/meson codebase. Here's the problem: `subprojects purge` should not follow symbolic links **Describe the bug** `meson subprojects purge` currently follows symbolic links. That is, if `subprojects/foo` is a symbolic link to `/home/reimu/git/foo`, then `meson subprojects purge` will offer to delete the actual `/home/reimu/git/foo` directory instead of the symbolic link. This is dangerous and makes no sense; I sometimes use symbolic links like that to replace a wrap dependency with my own version locally, and I wouldn't like it to get wiped. **To Reproduce** Setup: ```bash cd /tmp mkdir foreignproj mkdir myproj cd myproj meson init mkdir subprojects ln -s ../../foreignproj subprojects/foo cat <<EOF > subprojects/foo.wrap [wrap-git] directory=foo url=https://example.com/foo.git EOF ``` Purge: ``` $ pwd /tmp/myproj $ file /tmp/foreignproj /tmp/foreignproj: directory $ file subprojects/foo subprojects/foo: symbolic link to ../../foreignproj $ meson subprojects purge --confirm Deleting /tmp/foreignproj $ file /tmp/foreignproj /tmp/foreignproj: cannot open `/tmp/foreignproj' (No such file or directory) $ file subprojects/foo subprojects/foo: broken symbolic link to ../../foreignproj ``` **Expected behavior** `meson subprojects purge` should remove the symbolic link and not touch the real directory. **system parameters** * what operating system: openSUSE Tumbleweed * what Python version are you using: 3.8.10 * what `meson --version`: 0.58.999 (6fb2f8637) * what `ninja --version`: 1.10.2 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 ipython/ipython codebase. Here's the problem: Markdown in header cells is not rendered You cannot have italics, etc. in a header cell in master, because the header is not rendered. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: DEP: deprecate np.bool, np.int, np.float, np.long, np.str, np.unicode, and np.complex, which are misleading aliases for builtin types This isn't ready yet -- it causes hundreds of test failures due to our own internal usage of `np.bool` etc., plus it is missing new tests of its own -- but posting now as an RFC. --- For reasons which are lost in the mists of time, numpy has always re-exported a bunch of built-in types like `int` as `np.int`, `bool` as `np.bool`, etc. We can't possibly remove these exports anytime in the near future, because they are widely used -- people write things like ``` np.asarray(obj, dtype=np.int) ``` These people are confused, and would be better off writing either ``` np.asarray(obj, dtype=int) ``` or ``` np.asarray(obj, dtype=np.int_) ``` depending on what they actually want, but their code does work (and is equivalent to the `dtype=int` version), so we can't break it. But, thanks to a new feature added in 3.5, plus some glue and sealing back for previous versions, it is finally at least possible to deprecate these attributes! This adds a dependency on the `metamodule` package, which is a tiny pure-Python package that supports every version of Python that numpy supports. This will Just Work for pip and other sensible installation tools, but the alternative would be to just vendor our own copy of `metamodule.py` into the numpy/ directory instead. Personally I am kinda inclined to try going with the explicit dependency route and see how far we can get, because maintaining vendored libraries is a huge pain, and because c'mon it's 2015, and because sooner or later we are probably going to want to add an external dependency or two (e.g. [sempervirens](https://github.com/njsmith/sempervirens)) and so we might as well find out what the pain points are now. But I can see the arguments either way... Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Improve column alignment of NaT within repr of datetime64 arrays Another repr change to get into 1.14, filing separately for visibility. See https://github.com/numpy/numpy/pull/10097#discussion_r153120208. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: An unrelated warning when transpiling an empty set of circuits ### Environment - **Qiskit Terra version**: a60374091 - **Python version**: 3.9.5 - **Operating system**: Linux ### What is happening? Transpilation of an empty set of circuits issues a warning about schedule transpilation. ### How can we reproduce the issue? ``` from qiskit import transpile, IBMQ backend = IBMQ.load_account().backend.ibmq_belem # can be any backend transpile([], backend) ``` Output: ``` qiskit/compiler/transpiler.py:246: UserWarning: Transpiling schedules is not supported yet. warnings.warn("Transpiling schedules is not supported yet.", UserWarning) ``` ### What should happen? No warning ### Any suggestions? Just write ``` if len(circuits) > 0: ``` Write before the line ``` warnings.warn("Transpiling schedules is not supported yet.", UserWarning) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: UnboundLocalError when using VisualStudioBuildEnvironment I keep getting the following python error when using `VisualStudioBuildEnvironment` with conan 1.3.1. ```python env_build = VisualStudioBuildEnvironment(self) UnboundLocalError: local variable 'flags' referenced before assignment ``` I think I found the problem in [conans/client/build/compiler_flags.py Line 99](https://github.com/conan-io/conan/blob/develop/conans/client/build/compiler_flags.py#L99) It looks like ```python elif not vs_toolset: ``` should just be an `else` or `flags` should be initialized to something in the ```python if str(compiler) == 'Visual Studio': ``` block. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Enable dynamic?federated extensions in dev mode ### Problem For now, the dynamic?federated extensions are forced-disabled in dev_mode https://github.com/jupyterlab/jupyterlab/blob/f7cb7b5e208d732c8d841ae84d219cbebc97b22a/jupyterlab/labapp.py#L618-L619 Sometimes, like the work done in https://github.com/jupyterlab/jupyterlab/issues/8804, we need those extensions enabled in dev mode ### Proposed Solution Add a setting/flag like `--extensions-dev-mode` to keep the extensions enable in dev mode,. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Auto-Converted Fast Tokenizer Producing Incorrect Results ### System Info - `transformers` version: 4.30.1 - Platform: Linux-5.15.107+-x86_64-with-glibc2.31 - Python version: 3.10.12 - Huggingface_hub version: 0.15.1 - Safetensors version: 0.3.1 - PyTorch version (GPU?): 2.0.1+cu118 (False) - Tensorflow version (GPU?): 2.12.0 (False) - Flax version (CPU?/GPU?/TPU?): 0.6.9 (cpu) - Jax version: 0.4.10 - JaxLib version: 0.4.10 - Using GPU in script?: No - Using distributed or parallel set-up in script?: No ### Who can help? @ArthurZucker ### Information - [ ] The official example scripts - [X] My own modified scripts ### Tasks - [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction The auto-converted fast tokenizer for the LLaMA model sometimes does not produce the same tokenization results as the original sentence piece tokenizer. This is affecting the OpenLLaMA models. Here's the code to reproduce it: ```python from transformers import AutoTokenizer tokenizer = AutoTokenizer.from_pretrained('openlm-research/open_llama_7b', use_fast=False) fast_tokenizer = AutoTokenizer.from_pretrained('openlm-research/open_llama_7b') text = 'thermal' print(tokenizer.encode(text)) print(fast_tokenizer.encode(text)) ``` The code produces the following output: ``` [1, 14412] [1, 31822, 496, 12719] ``` ### Expected behavior The auto-converted fast tokenizer should produce the exact same tokens as the original sentencepiece tokenizer. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: PATH manipulation problems with conda.bat activate on Windows With conda 4.4.5: ``` C:\Users\builder>echo %PATH% C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;C:\Program Files (x86)\PuTTY\;C:\Program Files\MiKTeX 2.9\miktex\bin\x64\;C:\Program Files (x86)\Windows Kits\10\Windows Performance Toolkit\;C:\Program Files\dotnet\;C:\Users\builder\AppData\Local\Microsoft\WindowsApps; c:/Users/builder/m64/Library/bin/conda.bat activate 'chcp' is not recognized as an internal or external command, operable program or batch file. (base) C:\Users\builder>(base) C:\Users\builder>echo %PATH% c:\Users\builder\m64;c:\Users\builder\m64\Library\mingw-w64\bin;c:\Users\builder\m64\Library\usr\bin;c:\Users\builder\m64\Library\bin;c:\Users\builder\m64\Scripts;c:\Users\builder\m64\bin;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;C:\Program Files (x86)\PuTTY\;C:\Program Files\MiKTeX 2.9\miktex\bin\x64\;C:\Program Files (x86)\Windows Kits\10\Windows Performance Toolkit\;C:\Program Files\dotnet\;C:\Users\builder\AppData\Local\Microsoft\WindowsApps; ``` Notice that `C:\WINDOWS\system32` got dropped which is why `chcp` isn't found (this folder contains lots of important programs 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 jupyterlab/jupyterlab codebase. Here's the problem: Binder bot dev mode does not redirect to JupyterLab ## Description Looks like the Binder link posted by the bot on new PRs does not redirect to the dev mode lab anymore: ![image](https://user-images.githubusercontent.com/591645/91857134-c76fc900-ec67-11ea-97df-62e98b074271.png) ## Reproduce Go to an open PR and click on the Binder link: ![image](https://user-images.githubusercontent.com/591645/91866428-cdb77280-ec72-11ea-8e60-0639730a085f.png) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Improvements to Versioning There are two remaining items from #6312: - If you bump a js package by a major version, we also bump all of its dependencies by a major version, recursively. - If you bump the python package by major and it is not in final, do not bump the js versions, but make them match the release value. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Checkpoint saving isn't atomic ## 🐛 Bug Saving checkpoints happens non-atomically. In some cases, this causes an incomplete write of a checkpoint (for example when receiving a SIGKILL during writing), causing any subsequent loading to fail with `RuntimeError: unexpected EOF, expected 8 more bytes. The file might be corrupted.` ### To Reproduce This is difficult to reproduce, since it relies on timing outside of code. For me, it happens with fast-running models that run at ~1-4 seconds per epoch. ### Expected behavior Checkpointing should be resistant to such issues, and instead simply continue as-is. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: plot_circuit_layout output seems to be dependent on the layout order The function `plot_circuit_layout` (in `qiskit/visualization/gate_map.py`) calls `plot_gate_map` with `qubit_labels`. The `qubit_labels` variable seems to be dependent of the `Layout` "order". In my local machine: ``` Layout({ 0: Qubit(QuantumRegister(10, 'qr'), 0), 2: Qubit(QuantumRegister(10, 'qr'), 1), 4: Qubit(QuantumRegister(10, 'qr'), 2), 6: Qubit(QuantumRegister(10, 'qr'), 3), 8: Qubit(QuantumRegister(10, 'qr'), 4), 10: Qubit(QuantumRegister(10, 'qr'), 5), 12: Qubit(QuantumRegister(10, 'qr'), 6), 14: Qubit(QuantumRegister(10, 'qr'), 7), 16: Qubit(QuantumRegister(10, 'qr'), 8), 18: Qubit(QuantumRegister(10, 'qr'), 9) }) qubit_labels = [0, None, 1, None, 2, None, 3, None, 4, None, 5, None, 6, None, 7, None, 8, None, 9, None] ``` ![20_plot_circuit_layout](https://user-images.githubusercontent.com/766693/62714483-b0ab6400-b9cc-11e9-9b5c-0372d8797ba4.png) While in the CI (see [output here](https://dev.azure.com/qiskit-ci/qiskit-terra/_build/results?buildId=1578&view=logs&jobId=8494c7a7-fba7-5345-1d98-c01d59819600&taskId=39a01fa0-e074-53f1-ec0d-d58f2c66d95b&lineStart=13&lineEnd=25&colStart=90&colEnd=91)): ``` Layout({ 0: Qubit(QuantumRegister(10, 'qr'), 0), 16: Qubit(QuantumRegister(10, 'qr'), 8), 2: Qubit(QuantumRegister(10, 'qr'), 1), 4: Qubit(QuantumRegister(10, 'qr'), 2), 6: Qubit(QuantumRegister(10, 'qr'), 3), 8: Qubit(QuantumRegister(10, 'qr'), 4), 10: Qubit(QuantumRegister(10, 'qr'), 5), 12: Qubit(QuantumRegister(10, 'qr'), 6), 18: Qubit(QuantumRegister(10, 'qr'), 9), 14: Qubit(QuantumRegister(10, 'qr'), 7) }) qubit_labels = [4, None, 3, None, 1, None, 8, None, 2, None, 0, None, 7, None, 5, None, 9, None, 6, None] ``` ![temp](https://user-images.githubusercontent.com/766693/62714449-9ec9c100-b9cc-11e9-91c8-043cf674e992.png) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: [Content Gap] Document op level retries ## What content is missing See "Easy Solid-Level Retries" in https://dagster.io/blog/dagster-0-12-0-into-the-groove This feature was introduced in 0.12.0 but has no documentation available (besides the blog post) ## Type of the content Concepts --- #### Message from the maintainers: Are you looking for the same documentation content? Give it a :thumbsup:. 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 Lightning-AI/lightning codebase. Here's the problem: Learning rate scheduler should step after each optimizer step ## 🐛 Bug I'm not sure that this is a bug or if it is a deliberate design decision, but right now the learning rate schedule gets updated at every "step" which actually corresponds to every forward pass. I think a more standard implementation would have the learning rate scheduler "step" interval correspond to being updated every backwards pass. This has caused me a lot of problems with instability as I did not realize that using standard learning rate warmups of say 16000 steps would actually only warm up for 1000 steps if I set `accumulate_grad_batches=16`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: pyin/pyout message type names should be language-agnostic A few suggestions minrk and me came up with on irc: (abridged) < minrk> the obvious generic name is "**output**", but that's too ambiguous with side effect output < minrk> **eval_result**, or **result_output**, or just **result** < minrk> and **eval_result** technically isn't accurate < minrk> what about **displayhook**? It's in reference to a name used in Python, but it's a generic concept < timotimo> **result_value**? < timotimo> i wouldn't be against calling it something with displayhook < timotimo> maybe **exec_value** or **exec_result** would be more fitting, though? < minrk> trouble is, _there's also execute_reply_, which is different < minrk> it is essentially a _display_data message with a different name_ < minrk> so perhaps that is the key < timotimo> hm, isn't the connection with the in[N]/out[N] the most interesting part of it? < minrk> well, the most interesting part is the actual thing to display < minrk> the only difference between a _pyout_ message and a _display_data_ message is whether a prompt is drawn to its left < minrk> but they are still both associated with a given input Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Parameterized gate definitions built with incomplete ParameterTable <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master @ d8b5f0f - **Python version**: 3.5 - **Operating system**: osx ### What is the current behavior? As reported by @georgios-ts in the Qiskit slack, `definition`s of parameterized gates are being generated with an incomplete `ParameterTable` . Introduced by #4745 . ### Steps to reproduce the problem ``` x = Parameter('x') rx = RXGate(x) print(rx.params) print(rx.definition.parameters) >> [Parameter(x)] >> set() ``` ### What is the expected behavior? ### Suggested solutions ``` for instr, _, _ in rules: qc._update_parameter_table(instr) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Improve performance of `two_qubits_kak` As per noted by @nonhermitian at #774 ### What is the expected enhancement? A reduction in the number of matrix operations can speed up the overall running time of the functions. It would be also better to verify the function in a test rather than always it is invoked. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Progress bar changes/issues In `conda` 4.3+ the progress bar looks something like this... ``` pycrypto-2.6.1 100% |################################| Time: 0:00:00 6.79 MB/s pytz-2018.4-py 100% |################################| Time: 0:00:00 9.22 MB/s ``` ...it has a nice tabular view and separates out package name, percentage, time, and download speed. In `conda` 4.5+, the progress bar looks like this... ``` ndg-httpsclient 0.4.4################################################### | 100% libffi 3.2.1############################################################ | 100% ``` Here the progress bar starts right near where the version ends. Making it a little hard to read. Also this start point varies depending on package name and the like, which is a bit distracting. Now I'm not sure if this is an intentional change or if I'm running into a bug. Would be great to know either way. If it is an intentional change, would encourage reconsidering. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Avoid importing from IPython.parallel in core IPython.core.interactiveshell imports an error class from IPython.parallel: https://github.com/ipython/ipython/blob/master/IPython/core/interactiveshell.py#L89 This pulls in the parallel machinery, zmq, numpy, paramiko, and so on, so it adds significantly to startup time and memory use. The comment in the file suggests a better way of handling it - move the error class into IPython.core.errors, and have IPython.parallel import it from 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 Qiskit/qiskit codebase. Here's the problem: Refactor `Z2Symmetries` ### What should we add? The [`Z2Symmetries`](https://github.com/Qiskit/qiskit-terra/blob/548dae2/qiskit/opflow/primitive_ops/tapered_pauli_sum_op.py#L83) are the last piece of code coupling the algorithms and application modules to `qiskit.opflow` instead of `qiskit.quantum_info`. Refactoring that class to be based on `SparsePauliOp` instead of `PauliSumOp` will allow us to remove this final dependence and, thus, will clear the path towards deprecating `qiskit.opflow`. To solve this, we need to do the following: - [ ] refactor `Z2Symmetries` based on `SparsePauliOp` instead of `PauliSumOp` (should be fairly trivial) - [ ] move it to a location outside of `qiskit.opflow`. I am open for suggestions on where to put this. Maybe even `qiskit.utils`? - [ ] I vote for the deprecation/removal of `TaperedPauliSumOp` without a replacement. This class merely combines the operator with its identified symmetries in one object, but this is actually never used in neither Qiskit Terra nor Qiskit Nature. And since this will rather become a utility explicitly called by an end-user to find certain symmetries, they can manage the storage of these symmetries themselves anyways, without artificially nesting them in some operator subclass. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Create a single clean script for the top level The clean script is exec-ing each package just to remove a directory: we can do this in a single script. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Snowflake python connector monkeypatches urllib and makes many services unusable. Curreently wnen you run snowflke provider, it monkeypatches urlllb in a way that is not compatible with other libraries (for example presto SSL with kerberos, google, amazon, qubole and many others). This is not critical (as in 2.0 we have provider separation and snowflake code will not even be there until you choose [snowflake] extra or install provider manually, For now we decided to release but immediately yank the snowflake provider! Additional links: * Issue: https://github.com/snowflakedb/snowflake-connector-python/issues/324 Offending code: * https://github.com/snowflakedb/snowflake-connector-python/blob/133d6215f7920d304c5f2d466bae38127c1b836d/src/snowflake/connector/network.py#L89-L92 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: gtkdoc-scangobj fails to find the shared library it scans (W32) For example: `Error in gtkdoc helper script:` `'mingw\\bin\\python.EXE' failed with status 3221225781` `WARNING:root:Running scanner failed: -1073741515, command: ./gtk4-scan.exe` This is because the shared library being scanned is not in library search path. On *nix that is handled by adjusting `LD_LIBRARY_PATH`, but on W32 the variable that needs adjustment is `PATH`, and meson doesn't change it. Here's a patch to fix that. [0001-gtk-doc-Use-LD_LIBRARY_PATH-to-modify-PATH-on-W32.patch.txt](https://github.com/mesonbuild/meson/files/1843401/0001-gtk-doc-Use-LD_LIBRARY_PATH-to-modify-PATH-on-W32.patch.txt) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: remove tools.file_io <!-- ⚠ 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? What is the point of this tool. As we clean up tools I want to try and make sure the tools are extensions to qiskit that don't affect the core but make it simpler to use. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 instructions for pre-push black hook This would be extremely useful to have in the dev instructions. Also, I'd love to know how to do it myself :) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: 1.0.3: project_fully_featured: Attempting to access partitions def for asset AssetKey(['snowflake', 'recommender', 'comment_stories']), but it is not partitioned ### Dagster version 1.0.3 ### What's the issue? trying to run the `project_fully_featured` - i've successfully materialized the `core` asset group. I next tried materializing the `recommender.comment_stories` (which works) but when I try the `user_story_matrix` that fails with the errors below ``` dagster._core.errors.DagsterInvariantViolationError: Attempting to access partitions def for asset AssetKey(['snowflake', 'recommender', 'comment_stories']), but it is not partitioned ``` ``` Dependencies for step snowflake__recommender__component_top_stories failed: ['s3__recommender__user_story_matrix'] were not executed: ['s3__recommender__recommender_model']. Not executing. ``` ``` Dependencies for step snowflake__recommender__user_top_recommended_stories failed: ['s3__recommender__user_story_matrix'] were not executed: ['s3__recommender__recommender_model']. Not executing. ``` ### What did you expect to happen? the example project to work ### How to reproduce? _No response_ ### Deployment type Local ### 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 mesonbuild/meson codebase. Here's the problem: Build RPATHs should not be overrideable with LD_LIBRARY_PATH, affects OSes using DT_RUNPATH such as FreeBSD and Debian Due to #1519. Should we revert or is there a fix? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Multiple bugs in mct <!-- ⚠ 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**: latest - **Python version**: - **Operating system**: ### What is the current behavior? The `mct` gate has several issues: 1) For one or two controls, the function calls `cx` or `ccx` respectively but still requires `q_ancilla` to be set. This should default to `None`. 2) For more than two controls the inputs are not consistent with the rest of Qiskit nor `cx` or `ccx`. `cx` and `ccx` allow for int inputs. However `mct` requires registers or `Qubit` class. Yet in the two or one control case ints are accepted because they dispatch to functions that handle them. `mct` should accept int inputs as well. Note that the `Qubit` class is not even exposed to users. Passing an int to `q_target` does not tell the user to pass `qreg` or `Qubit` but instead gives the unhelpful error "'MCT needs a single qubit as target." Also note that in the one or two control case I can pass any value I want with no checking. E.g. this works just fine ```python qc = QuantumCircuit(3) qc.mct([0,1], [2], 1e6) ``` ### Steps to reproduce the problem Try to use the `mct` gate in the same manner as other gates. ### What is the expected behavior? The gate should behave the same as other gates. ### 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 huggingface/transformers codebase. Here's the problem: Follow ups to DocumentQuestionAnswering Pipeline ### Feature request PR https://github.com/huggingface/transformers/pull/18414 has a number of TODOs left over which we'd like to track as follow up tasks. ## Pipeline - [x] Add support for documents which have more than the tokenizer span (e.g. 512) words - [ ] Add support for multi-page documents (e.g. for Donut, we need to present one image per page) - [x] Rework use of tokenizer to avoid the need for `add_prefix_space=True` - [x] Re-add support for Donut - [ ] Refactor Donut usage in the pipeline or move logic into the tokenizer, so that pipeline does not have as much Donut-specific code ## Testing - [ ] Enable `test_small_model_pt_donut` once `hf-internal-testing/tiny-random-donut` is implemented ## Documentation / Website - [x] Add DocumentQuestionAnswering demo to [Hosted Inference API](https://huggingface.co/impira/layoutlm-document-qa) so that model demos work - [ ] Add tutorial documentation to [Task Summary](https://huggingface.co/docs/transformers/v4.21.3/en/task_summary#question-answering) ### Motivation These are follow ups that we cut from the initial scope of PR #18414. ### Your contribution Happy to contribute many or all of these. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Webserver fails to pull secrets from Hashicorp Vault on start up ### Apache Airflow version 2.3.4 ### What happened Since upgrading to Airflow 2.3.4 our webserver fails on start up to pull secrets from our Vault instance. Setting AIRFLOW__WEBSERVER_WORKERS = 1 allowed the webserver to start up successfully, but reverting the change added here [https://github.com/apache/airflow/pull/25556](url) was the only way we found to fix the issue without adjusting the webserver's worker count. ### What you think should happen instead The airflow webserver should be able to successfully read from Vault with AIRFLOW__WEBSERVERS__WORKERS > 1. ### How to reproduce Star a Webserver instance set to authenticate with Vault using the approle method and AIRFLOW__DATABASE__SQL_ALCHEMY_CONN_SECRET and AIRFLOW__WEBSERVER__SECRET_KEY_SECRET set. The webserver should fail to initialize all of the gunicorn workers and exit. ### Operating System Fedora 29 ### Versions of Apache Airflow Providers apache-airflow-providers-hashicorp==3.1.0 ### Deployment Docker-Compose ### Deployment details Python 3.9.13 Vault 1.9.4 ### Anything else None ### Are you willing to submit PR? - [X] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Implement a way to select cmake generator Currently `CMake.command_line` selects `Unix Makefiles` for OSX and Linux in most situations. I would want to override that to use the `Ninja` generator everywhere (yes even on windows) since it performs much better in most cases and is the configuration we test with the most here. I started to look at adding `cmake_generator` to conan.conf but this doesn't seem to be the correct solution since it will affect the binary package and frankly the generator that was used to build the package shouldn't affect downstream dependencies. My current idea is to define a environment variable to override the generator `CONAN_CMAKE_GENERATOR` perhaps? Any other options? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Warning about leaked semaphore under Python 3.8 ### Current Behavior Under Python 3.8, there is a warning printed when running most conda commands: ``` ~/miniconda3/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown ``` ### Steps to Reproduce Running more or less any conda command will reproduce it for me, e.g. `conda env list` ## Expected Behavior There should be no warning ## Environment Information `conda-4.8.1-py38_0` and `python-3.8.1-h359304d_1` on MacOS (Catalina) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add from_heavy_hex() and from_heavy_square() generator methods to CouplingMap <!-- ⚠ 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? In [retworkx 0.10.0](https://qiskit.org/documentation/retworkx/release_notes.html#relnotes-0-10-0) new generator functions were added for quickly generating heavy hex and heavy square graphs: https://qiskit.org/documentation/retworkx/stubs/retworkx.generators.directed_heavy_hex_graph.html#retworkx.generators.directed_heavy_hex_graph and https://qiskit.org/documentation/retworkx/stubs/retworkx.generators.directed_heavy_square_graph.html#retworkx.generators.directed_heavy_square_graph. We should leverage these fun and add 2 new constructor methods to the `CouplingMap` to easily create coupling maps using a heavy hex and heavy square (similar to the existing `from_grid` and `from_ring` methods) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Move to more recent numpy random generator <!-- ⚠ 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? We make use of a lot of `np.random.RandomState` generators, however these are now legacy code. It has been replaced with `np.random.default_rng` that generates different values. We should move to this new generator. Ideally before the circuit library comes out because the seed values, and the offset, can be (should be) used to uniquely identify the circuits. This makes that identification a bit more future proof. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Typo in error message of Hamiltonian gate QASM function #### Description Possible typo in error message: "HamiltonianGate **h**as no QASM definition." https://github.com/Qiskit/qiskit-terra/blob/57261183f2f49882e24d255b7b9a9ab1e1c6421e/qiskit/extensions/hamiltonian_gate.py#L116 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: irfft/irfft2/irfftn docs are slightly confusing re: input type. As of numpy 1.17, the docs for fft.irfft{,2,n} start with "Compute the inverse of the n-point DFT for real input." / "Compute the 2-dimensional inverse FFT of a real array." / "Compute the inverse of the N-dimensional FFT of real input.", which is slightly confusing if you're unfamiliar with fft conventions: a superficial reading would suggest that these functions take a real input, but actually the argument to irfft is complex, and it's the output which is real. (Also, the inconsistency between the use of "DFT" and "FFT" could be avoided.) Can you help me debug this systematically and explain your reasoning?