[System] You are an expert software 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: Pycodestyle update causing our lint to fail. From what I can tell, there are three new errors that pycodestyle is finding. E306: expected 1 blank line before a nested definition, found 0 ~E123: closing bracket does not match indentation of opening bracket's line~ ~E722: do not use bare except~ See: #2973 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Drawing a circuit with idle_wires=False causes the circuit to break in future draw/qpy events ### Environment - **Qiskit Terra version**: main - **Python version**: 3.9.1 - **Operating system**: OSX ### What is happening? When drawing a circuit with `circuit.draw(idle_wires=False)` the circuit is somehow mutated to fail on future drawing or qpy serialization events. ### How can we reproduce the issue? Using the circuit below. Message for QPY file. ```python from qiskit import qpy with open('test.qpy', 'wb') as fd: qpy.dump(transpiled_bit_code_circuit, fd) with open('test.qpy', 'rb') as fd: new_qc = qpy.load(fd)[0] new_qc.draw(idle_wires=False) new_qc.draw(idle_wires=False) ``` ### What should happen? Circuit should draw twice. ### Any suggestions? _No response_ Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add support for batch requests in gcloud.storage Or wait for the new primitive client that simplifies this. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: SynchronousExecutor for other dask schedulers For running many lightweight IO-bound tasks, I've been using a custom threaded executor I hacked together: ``` class ThreadedExecutor(SynchronousExecutor): """Variant of built-in SynchronousExecutor that uses dask threaded scheduler.""" @contextmanager def start(self) -> Iterator: """ Context manager for initializing execution. Configures `dask` and yields the `dask.config` contextmanager. """ with dask.config.set(scheduler="threads") as cfg: yield cfg def wait(self, futures: Any) -> Any: """ Resolves a `dask.delayed` object to its values. Blocks until the computation is complete. Args: - futures (Any): iterable of `dask.delayed` objects to compute Returns: - Any: an iterable of resolved futures """ with dask.config.set(scheduler="threads"): return dask.compute(futures)[0] ``` I'm not sure this warrants its own executor in Prefect, but perhaps it could be a configurable parameter? Being able to easily swap out the sync/threaded/multiprocess/distributed schedulers is a huge plus of dask, and right now Prefect supports is capitalizing on some but not all of that flexibility. My own needs are already met by this little hack, just thought I'd contribute my $0.02. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: Better vmap testing We should implement a test generator for checking batched primitives like the one we use for grad testing. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: task.set_*stream should have more keyword arguments `Task.set_upstream` and `Task.set_downstream` were originally envisioned as methods for building up a Flow which does not pass data. `Task.set_dependencies` offers a richer API for specifying data passage between tasks. We should elevate all these methods to expose the full set of Prefect's features: - allow for the creation of keyed edges - allow for the creation of mapped edges We might need to think about whether `set_upstream` and `set_downstream` should have the same exact options - calls where the upstream task specifies a key on the downstream task like `t1.set_downstream(t2, key="y")` feel unnatural. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Conan crash due to wrong function signature in migrations.py Installing Conan version 1.12.3 and running it (simply "conan" from the cmd line) results in crash. The error stems from wrong signature in function call in conans/client/migrations.py. On line 129, there is the following call `migrate_to_default_profile(conf_path, default_profile_path, output=self.out)` but the definition of `migrate_to_default_profile` on line 159 reads `def migrate_to_default_profile(conf_path, default_profile_path)` the call is incompatible with the signature. `output=self.out` should be removed since it is not used in `migrate_to_default_profile` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Stack trace when an override file is empty If I create an empty `docker-compose.override.yml` in a project, `docker-compose up` throws the following error: ``` Traceback (most recent call last): File "<string>", line 3, in <module> File "/compose/build/docker-compose/out00-PYZ.pyz/compose.cli.main", line 53, in main File "/compose/build/docker-compose/out00-PYZ.pyz/compose.cli.docopt_command", line 23, in sys_dispatch File "/compose/build/docker-compose/out00-PYZ.pyz/compose.cli.docopt_command", line 26, in dispatch File "/compose/build/docker-compose/out00-PYZ.pyz/compose.cli.main", line 163, in perform_command File "/compose/build/docker-compose/out00-PYZ.pyz/compose.cli.command", line 54, in project_from_options File "/compose/build/docker-compose/out00-PYZ.pyz/compose.cli.command", line 90, in get_project File "/compose/build/docker-compose/out00-PYZ.pyz/compose.config.config", line 215, in load File "/compose/build/docker-compose/out00-PYZ.pyz/compose.config.config", line 205, in merge_services TypeError: 'NoneType' object is not iterable ``` We should instead show the same `Top level object needs to be a dictionary` error that you get if your `docker-compose.yml` file is empty. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: [DO NOT MERGE] Language: pick up fixes to GAPIC generator. This PR was generated using Autosynth. :rainbow: Here's the log from Synthtool: ``` synthtool > Cloning googleapis. synthtool > Running generator for google/cloud/language/artman_language_v1beta2.yaml. synthtool > Ensuring dependencies. synthtool > Pulling artman image. latest: Pulling from googleapis/artman Digest: sha256:90f9d15e9bad675aeecd586725bce48f5667ffe7d5fc4d1e96d51ff34304815b Status: Image is up to date for googleapis/artman:latest synthtool > Generated code into /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/language-v1beta2. synthtool > Running generator for google/cloud/language/artman_language_v1.yaml. synthtool > Ensuring dependencies. synthtool > Pulling artman image. latest: Pulling from googleapis/artman Digest: sha256:90f9d15e9bad675aeecd586725bce48f5667ffe7d5fc4d1e96d51ff34304815b Status: Image is up to date for googleapis/artman:latest synthtool > Generated code into /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/language-v1. synthtool > Cleaned up 0 temporary directories. ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: unparsable ninja.build generated from run_command with a multi-line string ```meson project('meson7' ,'c') run_target( 'update-rules', command : ['sh', '-c', ' python3 make-man-rules.py --meson']) ``` ``` ninja: error: build.ninja:64: expected '=', got lexing error python3$ make-man-rules.py$ --meson' ^ near here WARNING: Could not create compilation database. ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: "Unknown linker(s)" failure because `ar --version` produces unexpected output Distro: OpenIndiana Hipster 2018.10 (powered by illumos) Compiler: gcc (OpenIndiana 6.4.0-OI-3) 6.4.0 Note that this is a Solaris fork. When running `meson` to configure the build it fails with this output: ``` meson.build:1:0: ERROR: Unknown linker(s): [['gcc-ar'], ['ar']] ``` The problem is that `ar --version` produces the following output which meson doesn't recognize: ``` ar: bad option: -- usage: ar -d[-SvV] archive file ... ar -m[-abiSvV] [posname] archive file ... ar -p[-vV][-sS] archive [file ...] ar -q[-cuvSV] [-abi] [posname] [file ...] ar -r[-cuvSV] [-abi] [posname] [file ...] ar -t[-vV][-sS] archive [file ...] ar -x[-vV][-sSCT] archive [file ...] ``` This diff fixes the problem: ``` diff --git a/mesonbuild/environment.py b/mesonbuild/environment.py index bf2cce93..da6bdb51 100644 --- a/mesonbuild/environment.py +++ b/mesonbuild/environment.py @@ -1217,6 +1217,8 @@ class Environment: return ArLinker(linker) if p.returncode == 1 and err.startswith('Usage'): # AIX return ArLinker(linker) + if p.returncode == 1 and err.startswith('ar: bad option: --'): # Solaris + return ArLinker(linker) self._handle_exceptions(popen_exceptions, linkers, 'linker') raise EnvironmentException('Unknown static linker "%s"' % ' '.join(linkers)) ``` Can you help me debug this systematically and explain your reasoning?


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

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


[System] You are an expert software 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: 0.50.0 regression: gnome test does not install gresource file As of 0.50.0, the `test cases/frameworks/7 gnome` project no longer installs the `simple-resources.gresource` file, causing the test to fail. Building the same project (from the 0.50.0 tarball) with meson 0.49.2 installs the file, as expected. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: qasm3 exporter wrong placement of `input` declaration ### Environment - **Qiskit Terra version**: 0.20.0 - **Python version**: 3.8.13 - **Operating system**: macOS Monterey 12.3.1 ### What is happening? When exporting parametrized `QuantumCircuit`s with custom gates to a QASM3 string, the exporter wrongly places the circuit's `input` declaration after the `gate` declarations, which is not according to the OpenQASM3.0 grammar - IO declarations should appear in the [header](https://github.com/Qiskit/openqasm/blob/c39eac9f5c87b80df9e8eaeced96cbf4b477e5d2/source/grammar/qasm3.g4#L12). ### How can we reproduce the issue? Run the following: ```python from qiskit import QuantumCircuit, qasm3 from qiskit.circuit import Parameter theta = Parameter("theta") inner_qc = QuantumCircuit(1) inner_qc.rz(theta, 0) qc = QuantumCircuit(1) qc.append(inner_qc.to_gate(), range(1)) print(qasm3.dumps(qc)) ``` The resulting OpenQASM3.0 code is then: ```qasm OPENQASM 3; include "stdgates.inc"; gate circuit_21(theta) _gate_q_0 { rz(theta) _gate_q_0; } input float[64] theta; qubit[1] _all_qubits; let q = _all_qubits[0:0]; circuit_21(theta) q[0]; ``` ### What should happen? The expected output according to the grammar is: ```qasm OPENQASM 3; include "stdgates.inc"; input float[64] theta; gate circuit_21(theta) _gate_q_0 { rz(theta) _gate_q_0; } qubit[1] _all_qubits; let q = _all_qubits[0:0]; circuit_21(theta) q[0]; ``` ### Any suggestions? _No response_ Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Update to Language v1 ### What Update the hand-written code to Language v1, which was publicly announced yesterday (11/15). The new GAPIC code is in a [PR](https://github.com/googleapis/api-client-staging/pull/104), which will be published to PyPI as soon as its approved. ### Why Language v1beta1 has been replaced by v1 as of Tuesday 11/15. It has some additional features we want to support. This should be done soon, so that we can update the public documentation and samples to reference the `google-cloud-language` 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 numpy/numpy codebase. Here's the problem: Docs are unclear about behavior of `nonzero` on zero-dim arrays. <!-- Please describe the issue in detail here, and fill in the fields below --> From the docs, I would expect `nonzero` on a zero-dim array to return an empty tuple: > Returns a tuple of arrays, one for each dimension of a, containing the indices of the non-zero elements in that dimension. ### Reproducing code example: ```python >>> np.array(5).ndim 0 >>> len(np.array(5).nonzero()) 1 ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Logging is not comprehensive with regard to %edit Python 3.4.3, Python 4.0.0. The IPython session copied to `ipython_session.py` in [this Gist](http://gist.github.com/horse-mans/b6691197932935b03fcf) produces the file `my_log.py`, also at that Gist. The first time `%edit` is run, the output line contains the complete contents of the file that was edited. If `%edit` is then called with a function argument, there is no output which contains the contents of the modifications. If a person in a session is constantly making changes/tweaking a function definition with the `%edit` command, even the most verbose logging session will never capture these modifications, making it difficult to retrace one's steps if they rely on session logs. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [AIRFLOW-726] Adding Vnomics to Airflow users Dear Airflow Maintainers, Please accept this PR that addresses the following issues: - https://issues.apache.org/jira/browse/AIRFLOW-726 Per Apache guidelines you need to create a [Jira issue](https://issues.apache.org/jira/browse/AIRFLOW/). Testing Done: - Unittests are required, if you do not include new unit tests please specify why you think this is not required. We like to improve our coverage so a non existing test is even a better reason to include one. Reminders for contributors (REQUIRED!): * Your PR's title must reference an issue on [Airflow's JIRA](https://issues.apache.org/jira/browse/AIRFLOW/). For example, a PR called "[AIRFLOW-1] My Amazing PR" would close JIRA issue #1. Please open a new issue if required! * For all PRs with UI changes, you must provide screenshots. If the UI changes are not obvious, either annotate the images or provide before/after screenshots. * Please squash your commits when possible and follow the [How to write a good git commit message](http://chris.beams.io/posts/git-commit/). Summarized as follows: 1. Separate subject from body with a blank line 2. Limit the subject line to 50 characters 3. Do not end the subject line with a period 4. Use the imperative mood in the subject line (add, not adding) 5. Wrap the body at 72 characters 6. Use the body to explain what and why vs. how Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Setting instruction duration in transpile seems to do nothing. <!-- ⚠ 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? ```python qc = QuantumCircuit(1) qc.x(0) qc.measure_all() trans_qc = transpile(qc, backend, instruction_durations=[('x', [0], 100000000000000)] ) ``` should take forever to run but it does not. ### Steps to reproduce the problem ### What is the expected behavior? I have not seen this feature before, but if it does what it says, https://qiskit.org/documentation/stubs/qiskit.compiler.transpile.html#qiskit-compiler-transpile I should be able to modify the duration of instructions. Perhaps this is for pulses only, and the documentation just does not spell this out? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: dependency() ignores required attribute when checked second or third time I believe this should fail at the meson configure stage: ``` foo_dep = dependency('foo-bar-xyz-12.3', required : false) bar_dep = dependency('foo-bar-xyz-12.3', required : true) ``` But it does not fail. Seems to re-use the previously-done dependency check and then ignore the required attribute. The real-world use case is more complicated of course, dependency is not required in one subproject but required in another. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Allow slicing of QuantumRegister and ClassicalRegister <!-- ⚠ 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? It would be useful to be able to do the following: ```python q = QuantumRegister(5) circuit = QuantumCircuit(q) circuit.h(q[0]) # this is supported circuit.h(q) # this is supported circuit.h(q[1:3]) # this is not ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Compose build fails with "Impossible to perform platform-targeted builds for API version < 1.35" error ## Description of the issue docker-compose build fails with "Impossible to perform platform-targeted builds for API version < 1.35" error after updating to latest (edge) docker. ## Context information (for bug reports) ``` Output of "docker-compose version" ``` docker-compose version 1.21.0, build 5920eb08 docker-py version: 3.2.1 CPython version: 3.6.4 OpenSSL version: OpenSSL 1.0.2k 26 Jan 2017 ``` Output of "docker version" ``` Client: Version: 18.05.0-ce-rc1 API version: 1.37 Go version: go1.9.5 Git commit: 33f00ce Built: Thu Apr 26 00:57:53 2018 OS/Arch: windows/amd64 Experimental: false Orchestrator: swarm Server: Engine: Version: 18.05.0-ce-rc1 API version: 1.37 (minimum version 1.12) Go version: go1.10.1 Git commit: 33f00ce Built: Thu Apr 26 01:06:49 2018 OS/Arch: linux/amd64 Experimental: true ## Steps to reproduce the issue 1. Download latest docker edge for windows 2. Perform a simple docker-compose build 3. There is no step 3 ## Additional information Docker for windows. Started off on edge, switched to stable, error still present. Looks like it's related to this commit: https://github.com/docker/compose/commit/520f5d0fdece26862c622c33007775400a9b9000#diff-db70ffd20201b81c947f72fea35551d2. It thinks my version is < 1.35 but you can see above I'm on 1.37. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Scheduler adding unnecessary barriers ``` for i in range(2): circ.x([qr[i]]) circ.u1(np.pi, [qr[i]]) circ.x([qr[i]]) ``` if I do a code block like above it pushes the next qubit after the first when I schedule. For example <img width="744" alt="image" src="https://user-images.githubusercontent.com/32201347/68183260-dd3e3000-ff69-11e9-91b8-eb880c622a88.png"> <!-- ⚠ 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? ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: meson crash: mesonbuild.mesonlib is not a package. The command ` meson configure . -Doptimization=0` crashes with a python stack trace: ``` Traceback (most recent call last): File "/Users/john/.local/share/virtualenvs/etc-vauAPygS/lib/python3.10/site-packages/mesonbuild/mesonmain.py", line 194, in run return options.run_func(options) File "/Users/john/.local/share/virtualenvs/etc-vauAPygS/lib/python3.10/site-packages/mesonbuild/mconf.py", line 300, in run c = Conf(builddir) File "/Users/john/.local/share/virtualenvs/etc-vauAPygS/lib/python3.10/site-packages/mesonbuild/mconf.py", line 72, in __init__ self.build = build.load(self.build_dir) File "/Users/john/.local/share/virtualenvs/etc-vauAPygS/lib/python3.10/site-packages/mesonbuild/build.py", line 2907, in load obj = pickle.load(f) ModuleNotFoundError: No module named 'mesonbuild.mesonlib.universal'; 'mesonbuild.mesonlib' is not a package ERROR: Unhandled python exception This is a Meson bug and should be reported! ``` Source is [cairo](https://gitlab.freedesktop.org/cairo/cairo/) at [commit 6dc5df6](https://gitlab.freedesktop.org/cairo/cairo/-/commit/c6dc5df61264be1bec2e622355b97c6c45d236fc). Native compilation on macOS 13.1beta with Xcode 14.1's toolchain. Python is a locally-compiled 3.10 in a pyenv-controlled virtenv, and meson-0.64.0 was just pulled from pypi with pip3. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Incompatible to import typing module with python prior to 3.5.2 For example `TYPE_CHECKING` is not provided in module `typing` for python version == 3.5.0 or 3.5.1. Suggest to use MYPY to resolve the issue. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: disabledExtensions are interpreted as strings and as regexes In https://github.com/jupyterlab/jupyterlab/blob/2bf9ba8a633117d68004e800a1e7b354860e1149/packages/coreutils/src/pageconfig.ts#L308-L310 and https://github.com/jupyterlab/jupyterlab/blob/2bf9ba8a633117d68004e800a1e7b354860e1149/packages/coreutils/src/pageconfig.ts#L317-L319, we see that a plugin is disabled (or deferred) if the string given in the corresponding config either matches exactly *or* is a regex that matches the plugin id. I think this is a mistake to conflate raw strings and strings that are meant to be interpreted as regexes. The simplicity we offer by treating the strings as raw strings that are compared exactly is illusionary since if that raw string contains a character special to regexes (like `.`), it would unintentionally match more. For example, if a package has two plugins `mypackage:my.plugin` and `mypackage:myAplugin`, you cannot disable `mypackage:my.plugin` as an exact string because it would also match `mypackage:myAplugin`. Also, if there is a plugin `mypackage:pluginA` and another extension `pluginA`, you cannot disable extension `pluginA` using an exact string without also disabling `mypackage:pluginA`. In general, I think the user should be explicit about which strings should be treated as raw strings that are matched exactly, and which strings should be treated as regexes. They do not have that capability in our current extension disable or defer configuration. (Caveat: I haven't tested these cases above yet - just reasoned through the logic in the code) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: implement iterating/collecting PauliSumOp coefficients <!-- ⚠ 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. --> It would be useful to be able to iterate over, or return a list of coefficients in PauliSumOp. At present, one has to dig into the details to construct the coefficients for each term. In particular, it requires multiplying two numbers for each coeffcient. There are use cases, for instance when bounding the eigenvalues of the operators. For example, this gives a bound on the eigenvalues: ```python float(sum(abs(pauli_sum.primitive.coeffs)) * abs(pauli_sum.coeff)) ``` Abstracting access would be cleaner and resistant to implementation changes. Like this, if we want to return an numpy array ```python float(sum(abs(pauli_sum.coeffs))) ``` or this, if we return a list ```python sum(abs(c) for c in pauli_sum.coeffs) ``` This should be quite easy to implement. https://github.com/Qiskit/qiskit-terra/blob/master/qiskit/opflow/primitive_ops/pauli_sum_op.py Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: repr change for arrays of size 1 even with np.set_printoptions(legacy=True) in numpy master In scikit-learn we have seen failures in doctests for a few days on our build using numpy-dev. This is one of them: ```py import numpy as np try: np.set_printoptions(legacy=True) except Exception: pass print(repr(np.array([0.]))) print(repr(np.array([[0.]]))) print(repr(np.array([1., 2., 3.]))) ``` With numpy master: ``` array([0.]) array([[0.]]) array([ 1., 2., 3.]) ``` With numpy 1.13 (note the space before the 0): ``` array([ 0.]) array([[ 0.]]) array([ 1., 2., 3.]) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: storage: cannot set object properties Or at least I haven't figured out how. This is how the documentation suggests it may work. ``` Python >>> from gcloud import storage >>> bucket = storage.get_bucket('bucket', 'id') >>> key = storage.key.Key(bucket=bucket, name='dir/file.webp', ... properties={'contentType': 'image/webp'}) >>> key.upload_from_filename('dir/file.webp') ``` Success? ``` Python >>> key.properties['contentType'] 'image/webp' >>> key.content_type 'image/webp' ``` It's a lie unfortunately. (Also verified with `gsutil`). ``` Python >>> webp = bucket.get_key('dir/file.webp') >>> webp.properties['contentType'] u'application/unknown' >>> webp.content_type u'application/unknown' ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: HTML lists seem to interfere with the QtConsole display Hi all, We are trying to use the awesome QtConsole with some custom HTML output of our objects. Some of these objects contains HTML lists. But when we display them the following happens. ![](http://i.imgur.com/emFVL.png) Hopefully this is just an error in the way we are using the console, display objects, or HTML So we'd love to be corrected if that is the case. :) Thanks! Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated Some of our tests print the numpy warning about using non-tuple sequence for indexing. For example, in tests/lax_numpy_indexing_test.py we use Ellipsis, None, slice, lists, all of which trigger this warning. Should we do something about this? Where in numpy this comes from: https://github.com/numpy/numpy/blob/3fcf144be4939a6a785dc80b75189c2e05d6bd22/numpy/core/src/multiarray/mapping.c#L313 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Differing ninja target behavior when accessing cmake subproject via sub_proj.target() method versus via __CMake_build dir **Describe the bug** I am importing a large cmake projectwith quite a few targets. If I attempt to use Meson to retrieve a cmake target from within the subproject and execute it, I get errors. If I use ninja directly on the __CMake_build dir I can run the same target with no issues. **To Reproduce** I've created a repo to showcase an example ESP/meson integrated project but at the moment it's serving as an example of the problem behavior: https://github.com/Michael-Densberger/meson_esp32 To produce the behavior I ran: `mkdir /opt/meson_esp32` `cd /opt/meson_esp32/` `git clone git@github.com:Michael-Densberger/meson_esp32.git .` `meson esp32/ build/ --cross-file=esp32/cross.txt` `ninja -C build/ flash_from_cmake_root` <- Works and flashes no problem. `ninja -C build/ flash` <- Build errors that vary. Note flash and flash_from_cmake_root are Meson `run_targets` that I defined in `meson.build` in the repo. **Expected behavior** The flash from the top level which is a `cmake.subproject` target would behave the same as the flash target in the lower level subproject `__CMake_build` folder. **system parameters** * Cross build. * Up-to-date Arch linux. * Python: 3.8.2 * Meson: 0.54.0 * Ninja: 1.10.0 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Test pass shouldn't require both test_step and test_end ## 🐛 Bug `trainer.test(...)` requires implementation of both `test_step` and `test_end`, but the warning says you only need to implement either or both. https://github.com/PyTorchLightning/pytorch-lightning/blob/56dddf970825b1ad2b598c9b9b23a8a77add8964/pytorch_lightning/trainer/evaluation_loop.py#L291 ### To Reproduce Run `.test()` on any `LightningModule` with only `test_step` or `test_end` implemented. #### Code sample ``` python import torch from torch.nn import functional as F from torch.utils.data import DataLoader from torchvision.datasets import MNIST import pytorch_lightning as pl class CoolSystem(pl.LightningModule): def __init__(self): super(CoolSystem, self).__init__() self.l1 = torch.nn.Linear(28 * 28, 10) def forward(self, x): return torch.relu(self.l1(x.view(x.size(0), -1))) def training_step(self, batch, batch_nb): x, y = batch y_hat = self.forward(x) loss = F.cross_entropy(y_hat, y) return {'loss': loss} def test_step(self, batch, batch_idx): x, y = batch y_hat = self.forward(x) return {'test_loss': F.cross_entropy(y_hat, y)} def configure_optimizers(self): return torch.optim.Adam(self.parameters(), lr=0.02) @pl.data_loader def train_dataloader(self): return DataLoader(MNIST('./', train=True, download=True), batch_size=32) @pl.data_loader def test_dataloader(self): return DataLoader(MNIST('./', train=False, download=True), batch_size=32) model = CoolSystem() trainer = pl.Trainer(max_epochs=2, val_percent_check=1) trainer.test(model) ``` ### Expected behaviour Test pass runs should run with either implemented or when at least `test_step` 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 ipython/ipython codebase. Here's the problem: Using 'type()' in qtconsole results in TypeError ipykernel-5.1.0 IPython-7.2.0 qtconsole-4.4.3 tornado-5.1.1 both Linux and Mac (Anaconda, version 2018.12, python 3.7) In qtconsole, trying to use 'type()' results in a TypeError. The error occurs immediately when entering 'type(', meaning as soon as I type the open-parenthesis character. Possibly some sort of completion error? Commenting out lines 863-868 of 'IPython/core/oinspect.py' removes the error. Traceback follows: ``` Traceback (most recent call last): File "/Users/localuser/anaconda3/lib/python3.7/site-packages/ipykernel/kernelbase.py", line 267, in dispatch_shell yield gen.maybe_future(handler(stream, idents, msg)) File "/Users/localuser/anaconda3/lib/python3.7/site-packages/tornado/gen.py", line 1133, in run value = future.result() File "/Users/localuser/anaconda3/lib/python3.7/site-packages/tornado/gen.py", line 326, in wrapper yielded = next(result) File "/Users/localuser/anaconda3/lib/python3.7/site-packages/ipykernel/kernelbase.py", line 593, in inspect_request content.get('detail_level', 0), File "/Users/localuser/anaconda3/lib/python3.7/site-packages/ipykernel/ipkernel.py", line 411, in do_inspect detail_level=detail_level File "/Users/localuser/anaconda3/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 1765, in object_inspect_mime detail_level=detail_level File "/Users/localuser/anaconda3/lib/python3.7/site-packages/IPython/core/oinspect.py", line 600, in _get_info info = self._info(obj, oname=oname, info=info, detail_level=detail_level) File "/Users/localuser/anaconda3/lib/python3.7/site-packages/IPython/core/oinspect.py", line 863, in _info names = [sub.__name__ for sub in obj.__subclasses__()] TypeError: descriptor '__subclasses__' of 'type' object needs an argument ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: database backend does not store children The [`Task`](https://github.com/celery/celery/blob/main/celery/backends/database/models.py#L20-L27) and [`TaskExtended`](https://github.com/celery/celery/blob/main/celery/backends/database/models.py#L57-L62) models for the `database` backend do not include `children`. This means that when using any `database` backend, [`AsyncResult.children`](https://github.com/celery/celery/blob/main/celery/result.py#L424) is always empty, even if a task does have children. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Incorrect tokenization of dash punctuation in Spanish In Spanish text, the conventions for using dashes and em-dashes as punctuation seems to be considerably different than in English. Spacy often does not tokenize the dash or em-dash as a separate token, instead keeping it attached to the closest word. For example, the Spanish sentence: —Yo me llamo... –murmuró el niño– Emilio Sánchez Pérez. English Translation: "My name is...", murmured the boy, "Emilio Sanchez Perez." Here, the Spanish dash is used like a comma. The em-dash at the beginning of the sentence is used like a double quote. I believe that the fact that there is no space between the dash and word is throwing off the tokenizer. The Spanish sentence above is tokenized as: —Yo me llamo ... –murmuró el niño– Emilio Sánchez Pérez . I would expect the tokenization to be — Yo me llamo ... – murmuró el niño – Emilio Sánchez Pérez . ## Your Environment * **spaCy version:** 2.0.12 * **Platform:** Darwin-18.0.0-x86_64-i386-64bit * **Python version:** 3.7.0 * **Models:** de, es, en Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Expanding volumes source paths ## Description of the issue When volume defined with long syntax, its source paths which starts with `~` do not expand well as a paths started with `.` ## Context information (for bug reports) ``` docker-compose version 1.22.0, build f46880f ``` ``` version: "3.4" services: test: image: "test:${DISTRO:-trusty}" build: context: test/ args: { version: "${DISTRO:-trusty}" } volumes: - type: bind read_only: true source: ~/tmp/test1 target: /tmp/test1 - ~/tmp/test2:/tmp/test2:ro ``` ## Steps to reproduce the issue 1. Define volume with use of long syntax and set source started with `~` 2. `docker-compose up -d --force-recreate <service>` ### Observed result ``` Recreating test_test_1 ... error ERROR: for test_test_1 Cannot create container for service test: invalid mount config for type "bind": invalid mount path: '~/tmp/test1' mount path must be absolute ERROR: for test Cannot create container for service test: invalid mount config for type "bind": invalid mount path: '~/tmp/test1' mount path must be absolute ERROR: Encountered errors while bringing up the project. ``` ### Expected result ``` Recreating 48d9f6c670d9_test_test_1 ... done ``` ## Additional information `Ubuntu 18.04.1 LTS` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: Bug concatenating large arrays on CPU On CPU, I get the following result when doing a concatenation of a large array with a smaller one ```python In [1]: import jax.numpy as np In [2]: a = np.concatenate((np.ones(1 << 32), np.array([2., 3., 4.]))) In [3]: a[-4:] Out[3]: DeviceArray([1., 1., 1., 1.], dtype=float32) ``` The result of the final line should be `[1., 2., 3., 4]`, not `[1., 1., 1., 1.]`. I've had a look at the implementation of jax.numpy.concatenate and it seems to delegate pretty directly to lax.concatenate, which is itself just a direct wrapper around the XLA op, so I wonder if this might be a bug in XLA. The result seems to be incorrect in the same way for other dtypes: ```python In [4]: a = np.concatenate((np.ones(1 << 32, 'float16'), np.array([2., 3., 4.], 'float16'))) In [5]: a[-4:] Out[5]: DeviceArray([1., 1., 1., 1.], dtype=float16) In [6]: a = np.concatenate((np.ones(1 << 32, 'uint16'), np.array([2., 3., 4.], 'uint16'))) In [7]: a[-4:] Out[7]: DeviceArray([1, 1, 1, 1], dtype=uint16) ``` I haven't had time to test whether this same issue exists on GPU or TPU. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Make context pickleable ## Current behavior In the following flow: ```python from prefect import context, Flow, task from prefect.engine.executors import DaskExecutor @task def extract(): """Get a list of data""" return [1, 2, 3] @task def transform(data): """Multiply the input by 10""" return [i * 10 for i in data] @task def load(data): """Print the data to indicate it was received""" logger = context.get("logger") logger.info("Here's your data: {}".format(data)) with Flow("ETL") as flow: e = extract() t = transform(e) l = load(t) executor = DaskExecutor(address="localhost:8786" flow.run(executor=executor) ``` We will see the error `Unexpected error occured in FlowRunner: TypeError("can't pickle Context objects")` because `context` is used as an attribute of `prefect`. This requires users to `import prefect` in their tasks in order to use context. ## Proposed behavior We could adjust the behavior so that context would be unpickled in the task and return `prefect.context` therefore avoiding this extra step of having to import prefect. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: new copyright header <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? The following copyright needs to replace the old one in all the files: ```python # This code is part of Qiskit. # # (C) Copyright IBM 2017, XXXX. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modifications or derivative works of this code must retain this # copyright notice, and modified files need to carry a notice indicating # that they have been altered from the originals. ``` where `XXXX` is the year of the file in question. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Minor typo in documentation for np.logical_and() <!-- Please describe the issue in detail here, and fill in the fields below --> The documentation for numpy.logical_and() has a minor typo. The 'return' field says > Boolean result of the logical OR operation applied to the elements of x1 and x2... Whereas it should say > Boolean result of the logical __AND__ operation applied to the elements of x1 and x2... (emphasis mine) ### Numpy/Python version information: <!-- Output from 'import sys, numpy; print(numpy.__version__, sys.version)' --> [numpy v1.17 online documentation](https://docs.scipy.org/doc/numpy/reference/generated/numpy.logical_and.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 dagster-io/dagster codebase. Here's the problem: Add a scaffold default config button For cases where you want to provide config in the launchpad, but you've provided all default values, in order to change config values away from the default, you have to manually type everything. Would be a lot more straightforward to just have a button that scaffolded defaults for you so that you could easily change the values you care about. This kind of works already if you use jobs, (we auto-fill default config for jobs) but only if you provide a top level config argument. From slack thread: https://dagster.slack.com/archives/C01U954MEER/p1674109975914069 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: load_table_from_dataframe should use a temporary file [load_table_from_dataframe](https://googleapis.github.io/google-cloud-python/latest/bigquery/generated/google.cloud.bigquery.client.Client.html#google.cloud.bigquery.client.Client.load_table_from_dataframe) currently uses BytesIO when it serializes a pandas dataframe to parquet before uploading it via a load job. This is actually violating the contract for to_parquet, which requires a filepath. BytesIO happens to work when pyarrow is used but not with fastparquet. A more minor reason we may wish to serialize to disk is that dataframe can sometimes be quite large, so spilling to disk would be preferable to filling up memory. Note: the function should clean up after itself by removing the temp file after the load job completes. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Can we have a project wide consensus on how to import the typing module? half of the code is structured like this: ```python import typing def foo(arg1: str, arg2: typing.List[str]) -> typing.Optional[str]: ... ``` The other half like this: ```python from typing import( this, that, some other things, and, more stuff, and even more stuff, ) def foo(art1: str, arg2: List[str]) -> Optional[str]: ... ``` Now, I *really* prefer the former. It avoids namspace pollution and minimizes git diffs because you don't have to worry about adding or removing things from the `from typing import(...)` lines. However, I'd really like to just have an agreement and convert all of the code to do the same thing so I can stop rebasing things and discover that a file has been changed from one form to the other in between. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: conan config install no longer works with 1.11.0 With conan v1.11.0: ``` conan config install http://rambo.local:8090/jenkins/job/microblink/job/conan-toolchains/job/master/lastSuccessfulBuild/artifact/android.zip Trying to download http://rambo.local:8090/jenkins/job/microblink/job/conan-toolchains/job/master/lastSuccessfulBuild/artifact/android.zip ERROR: Error downloading file http://rambo.local:8090/jenkins/job/microblink/job/conan-toolchains/job/master/lastSuccessfulBuild/artifact/android.zip: ''tuple' object has no attribute 'get'' ``` With conan v1.10.2 and earlier this works correctly. Our local CI server (that builds profile zips for company-wide use) is in local area network and does not use SSL (I guess #4158 could be related to breaking this behaviour). Are there any workarounds you could suggest? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Token substitution in YAML env file I have the following env file: ```yaml channels: - t/$ANACONDA_TOKEN/MYCHANNEL - conda-forge - anaconda dependencies: - python ==3.7.6 - myprivatepacakge ``` `ANACONDA_TOKEN` is correctly defined in my bash. But when I run the following, the token is not substituted: ```bash conda create -y -n test_env conda activate test_env conda env update -f test_env.yml ``` I got the following error: ```bash CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org$anaconda_token/MYCHANNEL/linux-64/repodata.json> Elapsed: - ``` Note that if I substitute `$ANACONDA_TOKEN` by the real token, it works well. Is that a bug or just a not supported feature? Related PR: https://github.com/conda/conda/pull/7826 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: add_periodic_task function does not trigger the task ## Checklist * [x] I have included the output of ``celery -A proj report`` in the issue. (if you are not able to do this, then at least specify the Celery version affected). * [x] I have verified that the issue exists against the `master` branch of Celery. ## Steps to reproduce **tasks.py** ``` from celery import Celery celery = Celery('tasks', broker='pyamqp://guest@localhost//') @celery.task def add(x, y): return x + y @celery.on_after_configure.connect def add_periodic(): celery.add_periodic_task(10.0, add.s(2,3), name='add every 10') if __name__ == '__main__': add_periodic() ``` step 1: rabbitmq is up rabbitmq 1186 1 0 Nov12 ? 00:00:00 /bin/sh /usr/sbin/rabbitmq-server step2: execute tasks.py `python tasks.py ` step3: start beat worker `celery -A tasks -l info beat` celery beat v4.0.0 (latentcall) is starting. __ - ... __ - _ LocalTime -> 2016-11-12 17:37:58 Configuration -> . broker -> amqp://guest:**@localhost:5672// . loader -> celery.loaders.app.AppLoader . scheduler -> celery.beat.PersistentScheduler . db -> celerybeat-schedule . logfile -> [stderr]@%INFO . maxinterval -> 5.00 minutes (300s) [2016-11-12 17:37:58,912: INFO/MainProcess] beat: Starting... ## Expected behavior I expect the scheduler to trigger add() function every ten seconds. ## Actual behavior The add() function doesn't get triggered. I don't see any exception in the terminal. Do I miss anything? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Firestore: Query's cursor-related methods must not allow transforms Similar to #6699. The following conformance tests assert that `start_at`/`start_after`/`end_before`/`end_at` should raise an exception when passed one of `DELETE_FIELD`, `SERVER_TIMESTAMP`, `ArrayRemove`, or `ArrayUnion`: - `query-arrayremove-cursor.textproto` - `query-arrayunion-cursor.textproto` - `query-del-cursor.textproto` - `query-st-cursor.textproto` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: BUG: Avoid f-strings in `setup.py`? This is a very simple and small fix, but we should probably avoid Python version specific syntax in the main `setup.py` so that a nice the "Python version >= 3.7 required." error message is given reliably. I may just do a fix, but if someone beats me to it, all the better :). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: activate symlink error when using source activate they get this symlink error > While trying to use the nfs installation with a user account that lacks the write permissions on the installation and the preconfigured environments, I'm getting an error: > > Cannot activate environment bash, not have write access to conda symlink > > Is this new, or I simply didn't notice the problem in the earlier versions? https://github.com/conda/conda/blob/4.1.x/conda/cli/activate.py#L158-L167 seems like its testing that it can create the symlink even if its already there, can anyone explain this functionality and why it would require permissions to write to the root environment? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the celery/celery codebase. Here's the problem: Question: any chance to have a on_started handler in the Task class? It would be very handy to have an on_started call back in the Task class. In addition to after_return, on_failure, on_success and on_retry. Thoughts? Question: any chance to have a on_started handler in the Task class? It would be very handy to have an on_started call back in the Task class. In addition to after_return, on_failure, on_success and on_retry. Thoughts? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: [skipped test] to fix https://github.com/huggingface/transformers/pull/12059 skipped failing: `tests/test_modeling_tapas.py::TapasUtilitiesTest::test_reduce_sum_vectorized` This issue is to track its resolution so that it won't be forgotten. @LysandreJik Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Remove Python2 **Is your feature request related to a problem? Please describe.** As January 1st approaches, support for "Python 2" gets to its end. By deprecating it we can free some machine/time on CI and maybe simplify our "dependency matrix" Note that this issue is not meant to be executed before the January 1st 2020. The early public issue is just to track it and talk/communicate about. **Describe the solution you'd like** - [ ] Remove py2 from the build matrix in Jenkins - [ ] Remove Python 2 from setup.py - [ ] Remove `six` from requirements.txt - [ ] Remove the announcement banner in README.md Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: PerceiverAudioPreprocessor: forward() missing 1 required positional argument: 'pos' The [`forward()` method implementation of `PerceiverAudioPreprocessor`](https://github.com/huggingface/transformers/blob/38cc35069c10d153e872162265288263bb7394b7/src/transformers/models/perceiver/modeling_perceiver.py#L3267) seems to be problematic because it has an extra required `pos` argument, whereas all other preprocessors do not (or it is optional). In fact, while it is passed to `_build_network_inputs()`, `pos` is not actually used in that method. Hence, I am not sure why it exists. Moreover, it breaks the default `PerceiverModel` operation, because that class assumes that there only one positional argument called `inputs` [when calling the preprocessor](https://github.com/huggingface/transformers/blob/38cc35069c10d153e872162265288263bb7394b7/src/transformers/models/perceiver/modeling_perceiver.py#L865). This seems to be a serious issue in my opinion because it crashes any instantiation of `PerceiverModel` with a `PerceiverAudioPreprocessor` as `input_preprocessor`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: warn_format_error no longer makes it clear that there was a problem formatting the output The recent changes to `warn_format_error` seem to have made it useless: one can no longer see the difference between a failed command and the failure to print the output. Currently, if formatting fails, `warn_format_error` shows the exception with traceback which looks indistinguishable to a normal traceback when a command failed. At the very least, the name `warn_format_error` no longer fits what it does. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: cmake lexer/parser doesn't understand spaces I've been running into problems trying to build mesa on windows with llvm using the cmake finder for llvm. It turns out that having spaces in path names breaks the assumption of the cmake parser/lexer that spaces are always between the arguments of a function. Which isn't true because the replace tool doesn't add quotes around string values, so we'll need to try to figure that out ourselves. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: User_expression issues discoverd after question on list : in notebook, dooin this in js : ``` javascript IPython.notebook.kernel.execute('', {'execute_reply':function(data){console.log('data:',data)}}, {'user_expressions': {'foo':'a=1'} # interesting part }) ``` result in ``` ... foo: "[ERROR] SyntaxError: invalid syntax (<string>, line 1)" ... ``` in response. `1+1` does work, but more interesting things like `!ls`, `get_ipython().system(u'ls')` ... etc does not. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: More natural sorting of DAG runs in the grid view ### Apache Airflow version 2.3.2 ### What happened Dag with schedule to run once every hour. Dag was started manually at 12:44, lets call this run 1 At 13:00 the scheduled run started, lets call this run 2. It appears before run 1 in the grid view. See attached screenshot ![image](https://user-images.githubusercontent.com/89977373/179212616-4113a1d5-ea61-4e0b-9c3f-3e4eba8318bc.png) ### What you think should happen instead Dags in grid view should appear in the order they are started. ### How to reproduce _No response_ ### Operating System Debian GNU/Linux 11 (bullseye) ### Versions of Apache Airflow Providers apache-airflow==2.3.2 apache-airflow-client==2.1.0 apache-airflow-providers-celery==3.0.0 apache-airflow-providers-cncf-kubernetes==4.0.2 apache-airflow-providers-docker==3.0.0 apache-airflow-providers-ftp==2.1.2 apache-airflow-providers-http==2.1.2 apache-airflow-providers-imap==2.2.3 apache-airflow-providers-postgres==5.0.0 apache-airflow-providers-sqlite==2.1.3 ### Deployment Other Docker-based deployment ### Deployment details _No response_ ### Anything else _No response_ ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Settings friction review I've been experimenting with non-common settings for embedded devices and I've found a couple of issues: 1. We have to review why the CMake() build helper is raising in case it doesn't have compiler or architecture. It is very very uncomfortable to specify the settings and deleting them later for the package_id just to avoid the error. And it makes no sense. 2. If I install a `conanfile.txt` but without specifying `os` setting, it is crashing in the settings.py validate() method. Because somehow it has the os in the fields but not in the data. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: `async with` doesn't allow newlines When writing a `with` statement, pressing enter goes onto a new line, rather than immediately running the code: ```py In [26]: with example: ...: do_1()[enter] ...: [<-pointer goes here] ``` However, when using `async with`, this does not apply to any lines except for the first after the colon: ```py In [26]: async with example: ...: do_1()[enter] [code is run] ``` (Tested in latest PyPI: `IPython.__version__ == "7.23.1"`) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Failed magic import appears not to throw error I'm trying to test that an ipython magic works inside of jupyter by doing this: `jupyter nbconvert --execute --to html tests/bigquery.ipynb`, where the `biquery.ipynb` notebook imports a magic called `%bigquery`. Currently, the `%bigquery` magic, which allows you to query Google's BigQuery service, is not importing due to a config problem. Unexpectedly, even though the output html says `ERROR:root:Line magic function %bigquery not found.`, the jupyter nbconvert command itself does not crash, even though it's supposed to if any exceptions arise. If it doesn't crash when it's supposed to, I can't reliably test whether the magic is in fact working. This appears to be the default ipython behavior. As @minrk put it in gitter: "The error handling in magics is probably an IPython thing. For a long time, the only thing that mattered for IPython was what it looked like. But then Jupyter came around, and it now makes a difference whether an error was raised, or just 'reported' to output. This is the kind of thing that affects nbconvert's "this failed". But there are still a number of 'errors' that are caught and displayed as nicer errors than tracebacks, but now Jupyter frontends don't know that the cell failed." To reproduce the issue in ipython: ```python In [2]: import IPython In [3]: shell = IPython.core.interactiveshell.InteractiveShell.instance() In [4]: shell.run_cell('%bigquery') ERROR:root:Line magic function `%bigquery` not found. Out[4]: <ExecutionResult object at 7f27b7605e50, execution_count=None error_before_exec=None error_in_exec=None result=None> ``` Just wanted to flag this bug! Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Support for HTTP proxy configuration via config.json The docker CLI allows to configure proxy configuration via config.json in your .docker directory: https://github.com/docker/cli/pull/93 This proxy configuration is not used when running or building containers via docker-compose. This would have the advantage that you don't need to put any proxy related info in the docker-compose.yml. Then one could use the same docker-compose.yml for both environments (w/ and w/o proxies). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 quiet= and to_err= to job monitor to suppress or redirect status messages. <!-- ⚠ 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. --> ### Add quiet= and to_err= to job monitor to suppress or redirect status messages. If one captures output from a script, `qiskit.tools.monitor.job_monitor` (and its factor, `_text_checker`) spew extraneous info. Suppress with `quiet=True` or redirect to stderr with `to_err=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 conda/conda codebase. Here's the problem: Sanitize env vars to remove secrets (e.g credentials for PROXY) For operations like `conda info -a` and error report uploads. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: np.dtype('d,L') -> NameError: name 'L' is not defined the title says it all. additional info: python: 2.7.9, numpy: 1.9.2, both from conda. other combinations not using 'L' seems to work fine. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 CCZ and CS gates to the circuit library and CNOTDihedral class ### What should we add? The `CCZ` gate is locally equivalent (up to 1-qubit gates) to the [CCXGate](https://qiskit.org/documentation/stubs/qiskit.circuit.library.CCXGate.html#qiskit.circuit.library.CCXGate) (Toffoli gate). The `CS` gate is locally equivalent (up to 1-qubit gates) to the [CSXGate](https://qiskit.org/documentation/stubs/qiskit.circuit.library.CSXGate.html#qiskit.circuit.library.CSXGate). First, it may be useful to add these two gates to the circuit library. Then, one can also add them to the [CNOTDihedral](https://qiskit.org/documentation/stubs/qiskit.quantum_info.CNOTDihedral.html#qiskit.quantum_info.CNOTDihedral) class, to obtain a better synthesis of CNOT-Dihedral circuits, using: https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/quantum_info/synthesis/cnotdihedral_decompose.py Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Misleading drawing format description in QuantumCircuit I find that the `matplotlib` in the possible output parameters for drawing a circuit is a bit misleading, see https://qiskit.org/documentation/stubs/qiskit.circuit.QuantumCircuit.draw.html. https://github.com/Qiskit/qiskit-terra/blob/56b0de6822dec3fe1d97c05f4a5ddf3c3f4d4174/qiskit/circuit/quantumcircuit.py#L1739 The actual argument for output is `mpl`. Following the docstring, a new user most likely will try `matplotlib` first. ### Suggestion Replace the line with ``` **mpl**: images with color rendered purely in Python using matplotlib. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: nbconvert: use r pygmentize backend when highlighting "%%R" cells It would be very nice to have R syntax highlighting on cells using the '%%R' magic when using nbconvert. Tested on: ``` json {'codename': 'An Afternoon Hack', 'commit_hash': '59d4731', 'commit_source': 'repository', 'default_encoding': 'UTF-8', 'ipython_path': '$HOME/ipython/IPython', 'ipython_version': '2.0.0-dev', 'os_name': 'posix', 'platform': 'Linux-3.9-0.bpo.1-amd64-x86_64-with-debian-7.1', 'sys_executable': '/usr/bin/python', 'sys_platform': 'linux2', 'sys_version': '2.7.3 (default, Jan 2 2013, 13:56:14) \n[GCC 4.7.2]'} ``` 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 huggingface/transformers codebase. Here's the problem: SpeechT5 cannot read numbers ### System Info transformers == 4.29.0 environment = Colab Python == 3.10.11 tensorflow == 2.12.0 torch == 2.0.1+cu118 torchaudio == 2.0.2+cu118 ### Who can help? @sanchit-gandhi ### Information - [ ] The official example scripts - [X] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [X] My own task or dataset (give details below) ### Reproduction 1. Init a Transformer agent 2. Init a text which contains numbers. For example text = "More than 10 people have been killed by Covid." 3. Call the agent for a text-to-speech (SpeechT5). For example, audio_translated = agent.run("Read out loud the text", text=text) 4. Play the generated audio The audio blanks all the numbers/digits. I am suspecting SpeechT5 to behave wrongly as the code generated by the agent seems to be correct. Good luck :) ### Expected behavior The audio file should contain numbers/digits indicated in the text. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: IBMQjob Seed <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations - **Qiskit Terra version**: master - **Python version**: 3.6.6 - **Operating system**: OSX ### What is the current behavior? [IBMQJob `_job_data` tries to directly access seed] (https://github.com/Qiskit/qiskit-terra/blob/37e4f3540e2fc1c9ab4b37c6cc5a449c82fb2391/qiskit/providers/ibmq/ibmqjob.py#L150). ### Steps to reproduce the problem ### What is the expected behaviour? It should not fail on pulse qobj's missing this seed. ### Suggested solutions `seed': old_qobj['circuits'][0]['config'].get('seed')` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Doc - expecting `push_to_hub` method for Tokenizers to be also in the Tokenizer class doc pages # 🚀 Doc request The gist is in the title. I was expecting the doc/docstring for the `push_to_hub` method for Tokenizers to be also in the Tokenizer class doc pages, e.g. on the main `Tokenizer` API landing page: https://huggingface.co/transformers/main_classes/tokenizer.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 Qiskit/qiskit codebase. Here's the problem: ImportError on Google Colab <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations - **Qiskit version**: newest version - **Python version**: 3.7 - **Operating system**: - Platform: Google Colab ### What is the current behavior? After the update, the following pops up /usr/local/lib/python3.7/dist-packages/pennylane_qiskit/qiskit_device.py in <module>() 25 from qiskit import ClassicalRegister, QuantumCircuit, QuantumRegister 26 from qiskit import extensions as ex ---> 27 from qiskit.circuit.measure import measure 28 from qiskit.compiler import transpile 29 from qiskit.converters import circuit_to_dag, dag_to_circuit ImportError: cannot import name 'measure' from 'qiskit.circuit.measure' (/usr/local/lib/python3.7/dist-packages/qiskit/circuit/measure.py) The original code worked well before the update in 06/12/2021. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Diff::a_path is wrong for unicode characters The problem is slightly mentioned in #865. Let's consider the following example: ```shell git init foo cd ./foo echo a > a git add a git commit -a -m 'Add a' echo "foo" > špatně.txt git add špatně.txt git commit -a -m Add ``` ```python3 In [4]: Repo('.').commit().diff('HEAD~')[0].a_path Out[4]: '"\\305\\241patn\\304\\233.txt"' ``` Unless one uses `git config --global core.quotepath false`, the file name is quoted and I don't see a simple solution how to decode it to unicode? One can use `-z` option that can resolve the problem: ``` git diff HEAD~ --raw -z | cat :000000 100644 0000000 257cc56 Ašpatně.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: Docs no longer build <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior? The index file in docs is pointing to `apidocs/terra` that does not exist, so the main docs do not get built. ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: `qiskit.test.decorators.enforce_subclasses_call` machinery is broken in 3.11.1 ### Environment - **Qiskit Terra version**: HEAD of main, currently `dd7f9390cf07` - **Python version**: 3.11.1 - **Operating system**: Both macOS and ubuntu, so far. ### What is happening? `import test.python` raises an error in 3.11.1, therefore tests do not run. @wshanks has indicated that it is working fine for him in 3.11.0 but not 3.11.1 (I don't have 3.11.0 installed). ``` Python 3.11.1 (v3.11.1:a7a450f84a, Dec 6 2022, 15:24:06) [Clang 13.0.0 (clang-1300.0.29.30)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import test.python Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/Users/ihincks/ibm/qiskit-terra/test/__init__.py", line 16, in <module> from qiskit.test.utils import generate_cases File "/Users/ihincks/ibm/qiskit-terra/qiskit/test/__init__.py", line 15, in <module> from .base import QiskitTestCase File "/Users/ihincks/ibm/qiskit-terra/qiskit/test/base.py", line 167, in <module> class QiskitTestCase(BaseQiskitTestCase): File "/Users/ihincks/ibm/qiskit-terra/qiskit/utils/classtools.py", line 117, in out retval = method(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^ TypeError: TestCase.__init_subclass__() missing 1 required positional argument: 'cls' ``` Or, see an example of this happening in CI: https://github.com/Qiskit/qiskit-experiments/actions/runs/3704009805/jobs/6281449337 ### How can we reproduce the issue? Run the tests or simply `import test.python` in Python 3.11.1. ### What should happen? This should not error. ### Any suggestions? _No response_ Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Perform evaluation on HANS with Trainer (like GLUE example) Current [HANS](https://github.com/huggingface/transformers/tree/master/examples/adversarial) evaluation implementation is carried out in the old way. It'd be good to do it in the same manner as other examples are implemented now with the Trainer class. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Custom web socket host/port The issue is that the IPython notebook uses a fixed host name for web socket connections. This is fine in most cases, but some (PaaS) environments support web sockets only on specific ports. OpenShift, for example, [supports web sockets](https://www.openshift.com/blogs/paas-websockets) only on ports 8000 and 8443. I can't run the IPython server on that port because I'm running other web apps that also use web socket connections. It seems that in previous versions, the IPython notebook had an option `c.NotebookApp.websocket_host` that allowed users to override the web socket host url. This option would satisfy my needs, but appears to have been dropped in the current version (2.x). Was this a conscious decision? If not, can we bring back this option? I was able to solve this issue by modifying this [line](https://github.com/ipython/ipython/blob/2.x/IPython/html/static/services/kernels/js/kernel.js#L128) from ``` this.ws_host = location.protocol.replace('http', 'ws') + "//" + location.host; ``` to ``` this.ws_host = location.protocol.replace('http', 'ws') + "//" + location.host + ":8000"; ``` This solution works well. I have nginx reverse proxy connections to /ipython/ to the ipython server backend running on an arbitrary port. Because I've manually added port `8000` to the `ws_host`, the web sockets function correctly on OpenShift. But it would nice to specify the port and host as a configuration parameter. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Trying to cancel a job just after initialization raises ### Steps to reproduce the problem 1. Create an `IBMQJob` by running a `qobj` in a backend. 2. Immediately after, call the `cancel()` method of the `IBMQJob` instance. ### What is the expected behaviour? Not throwing or, at least, not raising a gave exception but prevent the cancellation. ### What is the current behaviour? The method `cancel()` raises. ### Suggested solutions Detect if the job is still initializing and reject the cancellation. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Console bug adds an extra quote on macOS Monterey <!-- This is the repository for IPython command line, if you can try to make sure this question/bug/feature belong here and not on one of the Jupyter repositories. If it's a generic Python/Jupyter question, try other forums or discourse.jupyter.org. If you are unsure, it's ok to post here, though, there are few maintainer so you might not get a fast response. --> I'm experiencing what seems to be a bug which adds an additional single quote. Here's what happens when I only write `x['odor']`, it becomes `x['odor']'`: [![console][1]][1] At first I thought I'm making a mistake but when it repeated multiple times in the same minute, by looking further I noticed an extra `'` being added. I don't know why this is happening besides, I want to change the default quote view from double to single quotes which for some reason changed in the following versions: * macOS Monterey `12.2.1` * ipython `8.0.1` installed using brew. [1]: https://i.stack.imgur.com/7rUlx.gif Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Simplify logic to resolve tasks stuck in queued despite stalled_task_timeout closes: #28120 closes: #21225 closes: #28943 Tasks occasionally get stuck in queued and aren't resolved by `stalled_task_timeout` (#28120). This PR moves the logic for handling stalled tasks to the scheduler and simplifies the logic by marking any task that has been queued for more than `scheduler.task_queued_timeout` as failed, allowing it to be retried if the task has available retries. This doesn't require an additional scheduler nor allow for the possibility of tasks to get stuck in an infinite loop of scheduled -> queued -> scheduled ... -> queued as exists in #28943. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Docs: Clarify stride for upcoming token classification pipeline I just tried out the upcoming `stride` option for token classification pipelines (#21771, very useful!) without being familiar with the non-standard use of `stride` in the underlying tokenizer settings. I think it would be helpful to also explain in the pipelines API documentation that the `stride` parameter sets the overlap and not the stride. I thought it was the stride and spent a while trying to figure out why the performance was so abysmal. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Jedi: Protect against crash on property access Jedi Completions object can raise on attribute access (eg `completion.type`). Completer.py ~ line 1520 should protect arount that: ``` for jm in jedi_matches: delta = len(jm.name_with_symbols) - len(jm.complete) try: yield Completion(start=offset - delta, end=offset, text=jm.name_with_symbols, type=jm.type, _origin='jedi') except Exception: print('crash with jm:',jm) ```` Reproducible with ``` ## foo.py def foo():pass ``` ``` In[1]: from foo import foo In[2] foo.__co<tab> ``` Log an error when debug is on would be a plus. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Prevent overriding dependency versions My situation is the following: - `PROJECT/0.2.0` -> `B/0.1.0`, `C/0.1.0`, `D/0.1.0` - `B/0.1.0` -> `D/0.1.0` - `C/0.1.0` -> `D/0.1.0` Until then, everything's fine. Now there's a new version of B that leads to the following: - `PROJECT/0.3.0` -> `B/0.2.0`, `C/0.1.0`, `D/0.1.0` - `B/0.2.0` -> `D/0.2.0` - `C/0.1.0` -> `D/0.1.0` I am defining `full_version_mode()` everywhere. If PROJECT did not depend on D, Conan would fail saying that the dependencies are incompatible. But if D happens to be a dependency of the project too, then it will override any dependencies' usage of D to its version. Is there a way to prevent this from happening and have it fail if there are any 2 versions of the same library that are different/incompatible? If I do not set `build=missing` it's ok for me because it will basically not find the `package_id` for the library with the overridden dependency. But I'd rather have it fail at the dependency graph analysis and re-enable the `build=missing` option. - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [ ] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Unify codemirror highlight mode Assigning to myself, Need to unify the name of the variable that represent the default highlight mode for each cell type and mode the auto highlight methods as high as possible. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [ENH] reverse order of operations when loading OpenQASM <!-- ⚠ 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? When applying an operation to a quantum register in OpenQASM code, the operations get loaded in an order where the last qubit is first. It would be nice to have this reversed. Currently: ```python qasm = """OPENQASM 2.0; include "qelib1.inc"; qreg q[3]; h q;""" from qiskit import QuantumCircuit circuit = QuantumCircuit.from_qasm_str(qasm) print(circuit.qasm()) ``` Yields H on q[2] first, then q[1], then q[0] ``` OPENQASM 2.0; include "qelib1.inc"; qreg q[3]; h q[2]; h q[1]; h q[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 apache/airflow codebase. Here's the problem: Graph View shows other relations than in DAG **Apache Airflow version**: master **Kubernetes version (if you are using kubernetes)** (use `kubectl version`): **Environment**: breeze **What happened**: This DAG ```python from airflow import models from airflow.operators.dummy_operator import DummyOperator from airflow.utils.dates import days_ago with models.DAG("test", start_date=days_ago(1), schedule_interval=None,) as dag: t1 = DummyOperator(task_id="t1") t2 = DummyOperator(task_id="t2") t1 >> t2 ``` is rendering like that: <img width="1374" alt="Screenshot 2020-08-27 at 19 59 41" src="https://user-images.githubusercontent.com/9528307/91478403-11d7fb00-e8a0-11ea-91d0-d7d578bcb5a2.png"> **What you expected to happen**: I expect to see same relations as defined in DAG file **How to reproduce it**: Render the example DAG from above. **Anything else we need to know**: I'm surprised by this bug 👀 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: can't require a function named `f` It took me a while to figure this one out: ``` python def f(x): return(x) @require(f): def g(y): return f(y) ``` gives: ``` --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-86-98a37b0c736a> in <module>() ----> 1 @require(f) 2 def g(y): 3 return f(y) 4 /usr/local/lib/python2.7/dist-packages/IPython/parallel/controller/dependency.pyc in require(*objects, **mapping) 133 for name, obj in mapping.items(): 134 mapping[name] = can(obj) --> 135 return depend(_require, *names, **mapping) 136 137 class Dependency(set): TypeError: __init__() got multiple values for keyword argument 'f' ``` I believe the cause is the use of `f` as a name in the constructor [here](https://github.com/ipython/ipython/blob/1934e25cb2fbaace740d97bc33ab45f01d1be962/IPython/parallel/controller/dependency.py#L43-L49). This seems like a bit of an arbitrary restriction; it may not be possible to get around having to forbid the use of _some_ function name, but at least we could maybe use something less likely to collide with users' things (`_f` maybe?). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Throw warning for changing val_loss Add warning to user that when changing val_loss to another keyword it will break checkpointing, early stopping, and other features relying on it. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: AIP-56 - Create auth manager interface Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Applying labels to task groups shows a cycle in the graph view for the dag ### Apache Airflow version 2.2.2 ### Operating System Docker (debian:buster) ### Versions of Apache Airflow Providers N/A ### Deployment Astronomer ### Deployment details run airflow with this dag ```python3 with DAG( dag_id="label_bug_without_chain" ) as dag: with TaskGroup(group_id="group1") as taskgroup1: t1 = DummyOperator(task_id="dummy1") t2 = DummyOperator(task_id="dummy2") t3 = DummyOperator(task_id="dummy3") t4 = DummyOperator(task_id="dummy4") chain([Label("branch three")], taskgroup1, t4,) ``` ### What happened expanded task views look like they have cycles <img width="896" alt="Screen Shot 2021-11-22 at 2 33 49 PM" src="https://user-images.githubusercontent.com/17841735/143083099-d250fd7e-963f-4b34-b544-405b51ee2859.png"> ### What you expected to happen The task group shouldn't display as if it has loops in it. ### How to reproduce View the dag shown in the deployment details. ### Anything else _No response_ ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: Tracing a function that indexes into Numpy array gives a poor error message The following code fails on the last line ``` f = lambda i: jnp.zeros((3, 3))[i, :] g = lambda i: np.zeros((3, 3))[i, :] a = np.array([1, 2]) f(a) # Okay jax.jit(f)(a) # Okay g(a) # Okay jax.jit(g)(a) # Fail ``` with the standard error message ``` Tracer can't be used with raw numpy functions. You might have import numpy as np instead of import jax.numpy as np ``` The cause of the error is attempting to trace the `__getitem__` method of a raw numpy tensor. Normally "Tracer can't be used ..." errors are easy to spot because the offending call starts with `np.`, but this error is a bit more subtle and takes more time to track down. Also, binary operations that mix numpy and JAX arrays work fine, so it this is an exceptional case. Is there any way to improve this error message / detect this case? At the extreme end, could jax do without implementing the `__array__` method for implicit conversions (and replace with an explicit conversion method), to reduce the mental overhead associated with these conversions? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 forward and backward options to finite difference gradient ### What should we add? Currently, `FiniteDiffEstimatorGradient` and `FiniteDiffSamplerGradient` support only a central difference. A forward difference or backward difference require less circuit than the central difference, so they are faster. Also, there are cases that forward difference or backward difference can work better than central difference. https://en.wikipedia.org/wiki/Finite_difference Can you help me debug this systematically and explain your reasoning?