[System] You are an expert software 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: Add integration with Google Calendar API **Description** I ask for operator to create events table from the Google Calendar API https://developers.google.com/calendar/v3/reference/events/import **Use case / motivation** we have calendar where we save events that has business impact and we need this data available for our analysts in tables. I would also be nice if the hook will be able to insert events into the calendar based on logic from the pipeline. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Setup fails if you use fs.copyfile and enable installing to a subdirectory **Describe the bug** I have a file (script, text file, whatever) that needs to be copied during build (to be able to test and develop without installing) and also needs to be installed during the installation process. If you copy it with fs.copyfile and specify an install_dir that is a subdirectory, you get an error such as: ``` ERROR: Target 'file.txt' has 1 outputs: ['file.txt'], but only 9 "install_dir"s were found. Pass 'false' for outputs that should not be installed and 'true' for using the default installation directory for an output. ``` The error happens during meson setup. **To Reproduce** This is a minimal meson.build to reproduce the issue: ```meson project('MyProject', 'cpp') executable( 'myproject', 'myproject.cpp', install : true, install_dir : 'something', ) import('fs').copyfile( 'file.txt', install : true, install_dir : 'something', ) ``` If I replace 'something' in the copyfile install_dir with '.' it succeeds. **Expected behavior** meson setup should succeed and the file should be copied to the specified subdirectory during installation. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? Native build. * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.)? Windows 10 * what Python version are you using e.g. 3.8.0 Python 3.10.0 * what `meson --version` 0.64.1 * what `ninja --version` if it's a Ninja build 1.10.2 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: PIN 16: Add `CustomResult` that will be used to hydrate user Results from cloud states ## Use Case See [PIN 16](https://docs.prefect.io/core/PINs/PIN-16-Results-and-Targets.html) for more motivation on new style Result classes. Today, users may provide their own custom `ResultHandler` subclasses that do not serialize to Cloud; we expect to support the same for custom new style `Result` subclasses. ## Solution Add a `CustomResult` that wraps any custom result handler implementation or Result subclass from the user that we can serialize to Cloud and instantiate in `State._result` for a user when hydrating States from Cloud. The important method to implement is: `CustomResult.hydrate(result: Result) -> Result` This should return an instance of the result arg, since the pipeline will call this a la `state._result.hydrate(result=self.task.result)`. Other methods common to Results like store_safe_value, validate, read, write etc should not be implemented. (Decide if it should raise its own kind of warning or not especially if we miss an edge case and then get the NotImplementedError from tbhe base class.) ## Alternatives *Please describe any alternatives you've considered, even if you've dismissed them* Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Feature wish: Option to force static:true for all dependency() calls I don't have much experience with build systems etc. I've currently been confronted with meson for the first time, trying to create a static binary of imagemagick. Many dependencies like glib and pango seem to have switched to meson. So far, the experience is great and much better than with other systems (Makefile, CMake etc.) which I often found way more confusing and less readable. I found, though, that to successfully compile some libraries as static, I needed to patch their meson.build files and add a "static: true" to their dependencies. For example to compile a static pango with a static cairo, I needed to add static:true to the dependency('cairo') call. Surprisingly, simply specifiying "-Ddefault_library=static" wasn't sufficient, but probably this option is about sth. different. Nevertheless, I think it would be very nice to have an option to always prefer the static version for all dependencies if it is available. Sth. like "-Dforce_static=true". Hope it makes sense ;-) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Document fixes: early_stop_checkpoint is not an valid argument for pl.Trainer ## 📚 Documentation In `pytorch-lightning/docs/source/new-project.rst`, there is an example demonstrating how to use `Trainer`. However, `early_stop_checkpoint` is not a valid argument for `Trainer`. I also found that `early_stop_checkpoint` only appears here in the whole repo. Therefore, we might need to remove it from the doc. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: ipython parallel: scp failure. Instead of throwing: ``` Command '['scp', u'/home/vash/.config/ipython/profile_ssh/security/ipcontroller-client.json', u'vash@host:.config/ipython/profile_ssh/security/ipcontroller-client.json']' ``` Should try: ``` ssh user@host mkdir -p -- ".config/ipython/profile_ssh/security" ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: add np.append and np.polyval Requested by @duvenaud! Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Bigtable instance undelete doesn't exist The documentation and some code comments think there should be an undelete for bigtable instances: https://github.com/GoogleCloudPlatform/gcloud-python/blob/e63b1d8bd24a826c28865a21766ee7537ce87285/gcloud/bigtable/instance.py#L283 https://googlecloudplatform.github.io/gcloud-python/stable/bigtable-instance.html but AFAICT looking at code it appears to be unimplemented. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Segmentation fault when trying to convert numpy array to the C array with ctypes Python 2.7.12 Numpy 1.13.0 Here is error reproduction: ``` import numpy as np from ctypes import POINTER, c_float data = np.ascontiguousarray(np.array([1]*10000, dtype=np.float32)/255).ctypes.data_as(POINTER(c_float)) print data.contents.value # ok data = np.ascontiguousarray(np.array([1]*1000000, dtype=np.float32)/255).ctypes.data_as(POINTER(c_float)) print data.contents.value #giving segmentation fault ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Allow Flow States to be determined by tasks other than the terminal tasks Currently, the `State` of a flow run is determined exclusively by that Flow's terminal tasks using this waterfall: * If any terminal task fails, the flow fails * If all terminal tasks succeed, the flow succeeds * If all terminal tasks finish, the flow succeeds (this is a separate waterfall step incase we decide that `SKIPs` - a valid "finished" state - should be handled differently * Otherwise the flow remains pending However, we can imagine situations where this logic breaks down: * A flow consists of a task that does something (X) and a terminal clean up task that only runs if X fails. * If X succeeds, the clean up task will be skipped and the flow will be marked as successful (this is probably the correct behavior) * If X fails, the clean up task will run and be successful -- the flow will be marked as successful. This might be the wrong behavior; here are two arguments why: * The flow failed its intended purpose (which was to run X), and should be considered an overall failure. * The workflow ran properly -- catching an error and cleaning up -- and should be considered an overall success. I propose allowing users to specify the tasks that should determine flow state. By default, it's the terminal tasks, but in the above example a user might have said that the X task should be used to determine flow state. No matter what tasks are chosen, the same waterfall described at the top of this issue would apply to those tasks. This would be a property of the `Flow` object, not a runtime configuration, and would be provided when the flow itself was created: ```python my_flow = prefect.Flow(name='demo flow', run_state_tasks = [X_task]) ``` I think `run_state_tasks` is a bad name for this option -- open to suggestions. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Prompt hard to read because it uses hardcoded colors I find some colors are hard to read, especially the red used for the output when using a dark background. The [contrast ratio is only 2.35](https://contrast-ratio.com/#%23990000-on-black) which is too low according to [WCAG21](https://www.w3.org/TR/WCAG21/#contrast-minimum). ![barely readable red output ptompt on black background](https://user-images.githubusercontent.com/202576/87507527-d4137000-c66d-11ea-8293-8e3b2b6f406c.png) A similar issue was discussed a while ago in #9670. However, I feel like a crucial aspect was missed: It is impossible to guarantee sufficient contrast if you hardcode colors and don't know the background. So IMHO the better fix would be to not hardcode any colors and use ANSI colors instead. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: link_depends does not work with files() Hey The `link_depends:` argument to executables and libraries does not work with `File` objects so far. It requires strings. See this example: ``` project('foobar', 'c') bar = shared_library('bar', ['foo.c'], link_depends: files(['A','B'])) ``` It fails with: ``` Link_depends arguments must be strings. ``` I circumvent this by using `join_paths(meson.current_source_dir(), 'my_file')` instead of `files()`, but I guess that's no the suggested solution? Furthermore, the reference-manual in the wiki does not explain the `File` object, but the documentation of `files()` mentions it. Thanks David Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ❓ Warning : This overload of addcdiv_ is deprecated # ❓ Questions & Help When running the [official Colab example of GLUE](https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/trainer/01_text_classification.ipynb), during training I receive a `UserWarning` : ``` /pytorch/torch/csrc/utils/python_arg_parser.cpp:756: UserWarning: This overload of addcdiv_ is deprecated: addcdiv_(Number value, Tensor tensor1, Tensor tensor2) Consider using one of the following signatures instead: addcdiv_(Tensor tensor1, Tensor tensor2, *, Number value) ``` --- **Is it 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 ipython/ipython codebase. Here's the problem: %rerun prints a misleading error when 0 lines are requested ## Steps to reproduce * Execute `%rerun -l 0` ## Expected result Nothing rerun, nothing printed ## Actual result Nothing rerun, but the following is printed ``` No lines in history match specification ``` ## Comment This error message is relevant to another part of `%rerun`'s functionality, namely, rerunning based on search with `-g <query>`, but is confusing here. ## System info Manjaro Linux, Python 3.9.4, IPython 7.22.0 (reproduces on IPython 8.0.0.dev) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: AttributeError: 'NoneType' object has no attribute 'from_pretrained' This code was working yesterday but doesn't work today: ```py from transformers import AutoTokenizer AutoTokenizer("Helsinki-NLP/opus-mt-en-fr") ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Link to an existing container Maybe it could work like this: ``` yaml links: - :existing_container_name ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add new AWS Secrets Manager Task To add to our non-Prefect Cloud [Secret Task library](https://docs.prefect.io/api/latest/tasks/secrets.html), we should add a new AWS Secrets Manager Task. This should only involve exposing the following three kwargs at initialization: - `secret_id` - `version_id` - `version_stage` as described here: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/secretsmanager.html#SecretsManager.Client.get_secret_value Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Backends with pulse parameters but pulse=False do not format dt and dtm correctly Some IBM Q devices have pulse parameters in their config files but `pulse=False`. This causes `dt` and `dtm` to be formatted differently depending on if pulse is on for that provider. Namely because the conversion is done here only: https://github.com/Qiskit/qiskit-terra/blob/f38b617748d855e98f682d259b7cf597ef16b2a8/qiskit/providers/models/backendconfiguration.py#L461 and not for the `QasmBackendConfiguration`. For example, I see `0.22` vs the correct `2.22e-10` on some devices depending on provider. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: git.types.PathLike is partially unknown for Pylance/mypy Hello everyone, I am using GitPython in my project and I use Pylance/mypy with the strict type checking settings. This setting is pretty important for my project's sanity. As I've been using methods from GitPython that make uses of paths, I've been getting the following errors: ![mypy raising an error for git.types.PathLike](https://user-images.githubusercontent.com/61093863/180901876-4f47a5a3-697d-4338-8008-77e075d13266.png) As you can notice, what raises this error is `PathLike[Unknown]`, defined in `git.types.PathLike`. ([Source file & lines](https://github.com/gitpython-developers/GitPython/blob/main/git/types.py#L47-L51)) After further investigation, I've found out that this is because `os.PathLike` is considered as a generic class (Like `typing.List`, `typing.Dict` and so on) ![Image showing PathLike being a generic class](https://user-images.githubusercontent.com/61093863/180902236-75621c2a-fdb5-4bd8-b603-6fb0adef0399.png) The fix is fairly simple, as it is to simply allow `str` for `PathLike`, which gives this result: `os.PathLike[str]` ![PathLike with the implemented fix](https://user-images.githubusercontent.com/61093863/180902659-51b11455-6150-4596-b866-d36b3ac6a767.png) ![Actual code without any errors](https://user-images.githubusercontent.com/61093863/180902715-5d1fb7af-214a-45eb-96e3-6e442ce13f19.png) (awesome! This issue's no longer a thing with this fix!) There has some discussion about the same situation on this StackOverflow page: https://stackoverflow.com/a/69680089/13720113 I can make a PR for fixing this (Of course, with some testing, since there is Python version checks), as long as this issue is approved. Thank you, hoping this issue get sorted soon! Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: [1.27.0+] docker-compose config truncates version ('3' instead of '3.x') <!-- Welcome to the docker-compose issue tracker! Before creating an issue, please heed the following: 1. This tracker should only be used to report bugs and request features / enhancements to docker-compose - For questions and general support, use https://forums.docker.com - For documentation issues, use https://github.com/docker/docker.github.io - For issues with the `docker stack` commands and the version 3 of the Compose file, use https://github.com/docker/cli 2. Use the search function before creating a new issue. Duplicates will be closed and directed to the original discussion. 3. When making a bug report, make sure you provide all required information. The easier it is for maintainers to reproduce, the faster it'll be fixed. --> ## Description of the issue Not sure if it's a bug or a new feature, but ... Since `1.27.0+`, `docker-compose config` returns only the major digit from version field. ## Context information (for bug reports) **Output of `docker-compose version`** ``` docker-compose version 1.27.0, build unknown docker-py version: 4.3.1 CPython version: 3.7.9 OpenSSL version: OpenSSL 1.1.1 11 Sep 2018 ``` **Output of `docker version`** ``` Docker version 19.03.12, build 48a66213fe ``` ## Steps to reproduce the issue 1. Create a docker-compose.yml file with the following content. ```yaml version: '3.7' ``` 2. Run `docker-compose config`. 3. Check the output. ### Observed result ```yaml services: {} version: '3' ``` ### Expected result ```yaml services: {} version: '3.7' ``` ### Stacktrace / full error message *No error* ## Additional information Ubuntu 18.04, docker-compose 1.27.0 installed from pip on Python 3.7.9. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Proposal: don't "build" as part of "docker-compose up" I've started to feel that doing a `build` during `docker-compose up` is potentially causing more trouble than it's worth, and I'm curious if anyone is actually using this functionality. I believe this is a positive change for two reasons: 1. Anytime I've used `docker-compose up` I've always had to explicitly `docker-compose build` first (and often `docker-compose pull` before that). This is because without doing an explicit build/pull, you risk running an older version of the image. 2. Doing a `build`/`pull` as part of `up` starts to require that `up` support every parameter that `build` and `pull` require, which leads to more code complexity, and a less clean interface (see #687, #573, #586, which are probably just the start) Does anyone actually "need" `docker-compose up` to build containers first? How do you ensure you're actually running the latest container if you don't do an explicit `docker-compose build` first? This would be a non-backwards compatible change, so it would require waiting for a new major release. fig up should build on every invocation Now Docker caches `ADD` in Dockerfiles, we can safely build on every `fig up` without builds taking ages. There perhaps should also be an option in `fig.yml` to cache the build with a tag as it currently does. We should also document how to cache installation of code dependencies. E.g.: ``` ADD requirements.txt /code/ RUN pip install -r /code/requirements.txt ADD . /code/ ``` This means `pip install` will only be run when `requirements.txt` changes. If `pip install` were after the last line, it would be run anytime any file changed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Documentation of `is_good_state` parameter of AmplificationProblem is misleading <!-- ⚠ 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. --> Acconrding to the constructor of [AmplificationProblem](https://qiskit.org/documentation/stubs/qiskit.algorithms.AmplificationProblem.html), the kwarg `is_good_state` is optional, when it fact, it is required. Usage without `is_good_state` results in `AttributeError: 'NoneType' object has no attribute 'probabilities_dict'` Reproduce (with qiskit-terra 0.18.0 installed from main branch) ```python3 from qiskit.algorithms import Grover from qiskit.algorithms import AmplificationProblem from qiskit.circuit.library import PhaseOracle from qiskit import BasicAer input_3sat_instance = ''' c example DIMACS-CNF 3-SAT p cnf 3 5 -1 -2 -3 0 1 -2 3 0 1 2 -3 0 1 -2 -3 0 -1 2 3 0 ''' with open('dimacs_file.txt', 'w') as fd: fd.write(input_3sat_instance) backend = BasicAer.get_backend('qasm_simulator') oracle = PhaseOracle.from_dimacs_file('dimacs_file.txt') grover = Grover(quantum_instance=backend) problem = AmplificationProblem(oracle) ## following line solves the error #problem = AmplificationProblem(oracle, is_good_state=oracle.evaluate_bitstring) result = grover.amplify(problem) print(result.assignment) ``` ### What is the expected enhancement? Either change the type hint to reflect the requirement or make it actually optional. See, e.g. the slack comment https://qiskit.slack.com/archives/C7SS31917/p1620999677245200?thread_ts=1620994583.241400&cid=C7SS31917 by @mtreinish Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Circuit drawers misorders subcircuits which depend only on a classical wire <!-- ⚠ 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 @ 296a745 - **Python version**: 3.6 - **Operating system**: osx 10.15 ### What is the current behavior? Appending a circuit which uses both qubits and clbits can be drawn out of order, if it introduces a dependency which can only be followed along classical wires. ### Steps to reproduce the problem Base circuit: ``` qc = qk.QuantumCircuit(2,1) qc.h(0) qc.measure(0,0) qc.draw() ``` ``` ┌───┐┌─┐ q_0: ┤ H ├┤M├ └───┘└╥┘ q_1: ──────╫─ ║ c: 1/══════╩═ 0 ``` Circuit to be appended: ``` qc_2 = qk.QuantumCircuit(1,1) qc_2.h(0).c_if(qc_2.cregs[0], 1) qc_2.draw() ``` ``` ┌───┐ q_0: ─┤ H ├─ └─╥─┘ ┌──╨──┐ c: 1/╡ = 1 ╞ └─────┘ ``` Combined circuit: ``` qc.append(qc_2, [1], [0]) qc.draw() ``` ``` ┌───┐ ┌─┐ q_0: ─────┤ H ├─────┤M├ ┌────┴───┴────┐└╥┘ q_1: ┤0 ├─╫─ │ circuit111 │ ║ c_0: ╡0 ╞═╩═ └─────────────┘ ``` Matplotlib: ![image](https://user-images.githubusercontent.com/2241698/109668627-58ecc480-7b3f-11eb-99ae-44f686497d36.png) Latex: ![image](https://user-images.githubusercontent.com/2241698/109668651-5f7b3c00-7b3f-11eb-9f7b-9ab4ba9f1d5e.png) DAG drawer has the right dependency on `c[0]`: ![image](https://user-images.githubusercontent.com/2241698/109668724-6e61ee80-7b3f-11eb-9650-53ad8bbe5b03.png) ### What is the expected behavior? The appended circuit should be drawn after the measure. ### 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 ipython/ipython codebase. Here's the problem: %cpaste still stores itself in history (unlike %paste) As noted in [this comment](https://github.com/ipython/ipython/issues/13622#issuecomment-1091721895), `%paste` was corrected to store its _contents_, and not its command equivalent itself, in history. But `cpaste` still does the latter: ```python Python 3.10.8 (main, Oct 13 2022, 10:17:43) [Clang 14.0.0 (clang-1400.0.29.102)] Type 'copyright', 'credits' or 'license' for more information IPython 8.6.0 -- An enhanced Interactive Python. Type '?' for help. In [1]: %cpaste -q print('test') print('Will this be stored?') -- test Will this be stored? In [2]: In[1] Out[2]: "get_ipython().run_line_magic('cpaste', '-q')" ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Add anaconda.org search message to PackagesNotFoundError Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: java: support for linking jar files (using manifest) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: crash - ipython qtconsole, %quickref I start ipython (both 0.11 and cloned from gitub (90e6e7afd62a598b76472862a4eea7a504cbf9b5) ) on Scientific Linux 6.0 as ipython qtconsole If I type %quickref, it crashes on the following line, with ``` at_end = len(cursor.selectedText().strip()) == 0 ``` AttributeError: 'NoneType' object has no attribute 'strip' after that, I see an infinite set of messages: QCoreApplication::exec: The event loop is already running As requested, I've mailed the crash report to fperez.net Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Default logger and checkpoint We should make the checkpoint and logger default without the user having to pass those in. However, they can still pass them in to modify the default behavior even further. @adefazio Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Can transpile a multi-qubit circuit on a 1Q device with cmap=None <!-- ⚠ 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? ``` qc = QuantumCircuit(2, 1) qc.h(0) qc.ry(0.11,1) qc.measure([0], [0]) ``` will be properly transpiled even if the backend has `n_qubits=1` and `coupling_map = None` ### 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: Document setting random seed for optimizers For most optimization algorithms setting `np.random.seed(seed)` is sufficient, but for SPSA (which is not implemented in scipy) one has to set it by hand via `qiskit.utils.algorithm_globals.random_seed = seed`. I couldn't find any documentation about this and had to look directly at the source code. It would be nice, if this was explained in the documentation. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Bigtable HappyBase enable/disable table should be a no-op Currently methods which aren't available in Bigtable for HappyBase throw an NotImplementedError. https://github.com/GoogleCloudPlatform/gcloud-python/blob/master/gcloud/bigtable/happybase/connection.py#L392 This will make it more difficult to port applications to and from HBase. These operations should be no-ops (possibly logging a warning when run). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: pkexec logic is a bad idea This is a bit related to https://github.com/mesonbuild/meson/issues/4758 Basically, what you're doing with polkit doesn't make sense. You're allowing to execute arbitrary code (in the Meson build logic) as root; the permission isn't actually limited in any way. So rather than having meson contain logic to run `pkexec` it's just much saner to tell people to do `sudo meson install` (or `pkexec meson install`) etc. IOW you should just delete the polkit rules and print an error message telling people how to use `sudo/pkexec` (this is quite commonly documented for other build systems of course). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Pathlib, Pathlib everywhere. There are many places where we could make use of Pathlib. Look for any places that uses `with open(...)` and ask yourself: - is the argument a string ? - would it make sens to make it a `Path()`, - how far upstream in the code can I make it a Path. Don't try to bite more than you can chew (or more than I can review), try to fix 1 place at a time. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: PERF: Variance of complex array ```python import sys import numpy as np print(sys.version) # 3.7.4 (default, Aug 13 2019, 15:17:50) # [Clang 4.0.1 (tags/RELEASE_401/final)] print(np.__version__) # 1.18.1 np.random.seed(2357) n = 10 ** 8 arr = np.random.randn(n) + 1j * np.random.randn(n) %timeit arr.var() # 1.99 s ± 36 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) %timeit arr.real.var() + arr.imag.var() # 1.25 s ± 2.12 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) v1 = arr.var() v2 = arr.real.var() + arr.imag.var() np.testing.assert_almost_equal(v1, v2) ``` It looks like summing the variances of the real and imaginary parts of a complex array is almost twice as fast as using `var` directly (and gives the same answer), so maybe there's something slowing down the calculation in this case (or maybe it makes sense to calculate the variance in this way)? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Spurious "The test program '...' does not exist. Cannot run tests before building them." Hi, Starting with c85f7a39a80ccbadb9ffb76102da30c05e3db66f I'm seeing postgres' tests (in my WIP branch using meson) fail on windows with $subject. I think the problem is the os.path.isfile() test introduced in the patch. Previously one could use a shebang that worked across operating systems (i.e. no .exe, with the binary being found via PATH), but now that'll fail because of course the file only exists with the file extension. Of course I can work around that by not relying on the extracted executable. But I bet this will bite not just us. Shouldn't this be shutil.which() instead of `os.path.isfile(testentry)`? And probably also gated by self.test.cmd_is_built? ```diff @@ -1347,9 +1347,12 @@ class SingleTestRunner: self.console_mode = ConsoleUser.LOGGER def _get_test_cmd(self) -> T.Optional[T.List[str]]: - if self.test.fname[0].endswith('.jar'): + testentry = self.test.fname[0] + if self.options.no_rebuild and not os.path.isfile(testentry): + raise TestException(f'The test program {testentry!r} does not exist. Cannot run tests before building them.') + if testentry.endswith('.jar'): return ['java', '-jar'] + self.test.fname - elif not self.test.is_cross_built and run_with_mono(self.test.fname[0]): ``` CC: @eli-schwartz - Andres Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 generates a build.ninja file with incorrect dependencies **Describe the bug** (Regression in 0.64.0) Meson generates a `build.ninja` file with incorrect dependencies if all these three situations are present in the `meson.build`: * The `project()` function has language `fortran` , either as unique language or secondary * A target depends on objects extracted from another target * The first target contains source and header files **To Reproduce** meson.build: ``` project('test_project', 'c', 'fortran', ) sources_tmp = [ 't1.c', 't1.h', ] libtmp = static_library( 'tmp', sources_tmp, install: false, ) tmp_objects = libtmp.extract_all_objects(recursive : true) sources = [ 't2.c', ] libfinal = library( 'final', sources, objects : tmp_objects, ) ``` Source and headers may be empty (`touch t1.c t1.h t2.c`). After a `meson setup`, the command `ninja`returns: ``` ninja: error: 'libfinal.so.p/libtmp.a', needed by 'libfinal.so.p/t2.c.o', missing and no known rule to make it ``` Either commeting line 2 (`fortran`) or line 7 (`'t1.h',`) makes the error to disappear. **system parameters** * plain native build * O.S.: Arch Linux * `python --version`: 3.10.8 * `meson --version`: 0.64.0 * `ninja --version`: 1.11.1 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: np.median returns nan on a list of all inf I found the following discrepancy between numpy and jax: ``` In [1]: import numpy as np In [2]: np.median([np.inf, np.inf, np.inf]) Out[2]: inf In [3]: import jax.numpy as np In [4]: np.median([np.inf, np.inf, np.inf]) /Users/stephentu/anaconda3/lib/python3.7/site-packages/jax/lib/xla_bridge.py:122: UserWarning: No GPU/TPU found, falling back to CPU. warnings.warn('No GPU/TPU found, falling back to CPU.') Out[4]: DeviceArray(nan, dtype=float32) In [5]: import jax In [6]: jax.__version__ Out[6]: '0.1.59' ``` Seems like returning `np.inf` is the sensible thing to do here. @mattjj suggested the culprit might be here: https://github.com/google/jax/blob/75077a14414124c13decc65c4ab1c1ac74174b81/jax/numpy/lax_numpy.py#L3374-L3375 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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-detection: nonlocal does not raise syntaxerror See https://github.com/ipython/ipython/issues/11303#issuecomment-421297197 ``` In [1]: x = 1 ...: def f(): ...: nonlocal x ...: x = 10000 ``` Should raise but does not. It's minor, but may be good to fix as behavior is likely undefined. async-detection: nonlocal does not raise syntaxerror See https://github.com/ipython/ipython/issues/11303#issuecomment-421297197 ``` In [1]: x = 1 ...: def f(): ...: nonlocal x ...: x = 10000 ``` Should raise but does not. It's minor, but may be good to fix as behavior is likely undefined. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Add special-case dependency for zlib Apple supplies libz as part of its core OS (/usr/lib/libz*.dylib, /usr/include/zlib.h) but does not supply a pkgconfig file for it. As a result, a package that has a meson.build assertion `dependency('zlib')` fails, or falls back to downloading and building libz from source if the package includes its own .wrap file for it. Apple has been doing this for the entire history of zlib in OS X and doesn't seem inclined to change. It would therefore be useful if meson supplied a special case for this library, analogous to other cases that don't supply pkgconfig files. Presumably this would go in one of the mesonbuild/dependencies, I guess misc.py (like pcap and cups)? If this would be generally useful, let me know and I can have a go at writing a patch. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add version_group_id as input to create_flow_run + documentation in Cloud Concepts, for feature parity with our API Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Installing a lab extension should remove the existing one Currently we can end up with two versions of the same extension. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: IPython.parallel issue with pushing pandas TimeSeries A pandas.TimeSeries is cast to a numpy.ndarray when pushed using IPython.parallel. Here is an example: ``` In [1]: from IPython import parallel In [2]: dview = parallel.Client()[:] In [3]: with dview.sync_imports(): import pandas importing pandas on engine(s) In [4]: a = pandas.TimeSeries([1,2,3],index=[1,2,3]) In [5]: a.__class__ pandas.core.series.Series In [6]: dview.push({'b':a}) <AsyncResult: _push> In [7]: ret = dview.apply_async(lambda x: b.__class__, range(0,1)) In [8]: ret.result [numpy.ndarray, numpy.ndarray] ``` This seems to be a result of dview.push handling numpy arrays differently: http://ipython.org/ipython-doc/dev/parallel/parallel_details.html and pandas.TimeSeries using numpy arrays: ``` In [9]: cPickle.dumps(a) "cnumpy.core.multiarray\n_reconstruct\np1\n(cpandas.core.series\nSeries\np2\n(I0\ntS'b'\ntRp3\n((I1\n(I3\ntcnumpy\ndtype\np4\n(S'i8'\nI0\nI1\ntRp5\n(I3\nS'<'\nNNNI-1\nI-1\nI0\ntbI00\nS'\\x01\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x02\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x03\\x00\\x00\\x00\\x00\\x00\\x00\\x00'\nt(g1\n(cpandas.core.index\nInt64Index\np6\n(I0\ntS'b'\ntRp7\n((I1\n(I3\ntg5\nI00\nS'\\x01\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x02\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x03\\x00\\x00\\x00\\x00\\x00\\x00\\x00'\nt(NttbNttb." ``` Is there a way to cast back to pandas.TimeSeries on the ipcluster engines? Many 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 Lightning-AI/lightning codebase. Here's the problem: RMSLE metric appears to be incorrect ## 🐛 Bug The usage of mse [in the rmsle function](https://github.com/PyTorchLightning/pytorch-lightning/blob/22b9642117394d3c50587ae137dbf94c6dd5173c/pytorch_lightning/metrics/functional/regression.py#L138) looks wrong to me. It looks like this function currently computes _mean squared log error_ instead of _root mean squared log error_. ### Expected behavior I would expect that rmsle looks like this: ```python rmsle = rmse(torch.log(pred + 1), torch.log(target + 1), reduction=reduction) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ASR pipeline never takes into account the beam width of ngram I am using the eval.py script mentioned [here](https://github.com/huggingface/transformers/blob/master/examples/research_projects/robust-speech-event/eval.py) I try to pass the beam_width parameter at lines 84 and 88 but the results are the same no matter whatever beam you give. Am i doing something wrong? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Inspected functions’ signatures undecipherable when type hints are in play In the `_getdef` method, the function signature is rendered: https://github.com/ipython/ipython/blob/5e7f930d355f9bb65b22ed8e8b735ea75c994d33/IPython/core/oinspect.py#L365-L366 I have formatted it well in my source: ```py def neighbors( adata: AnnData, n_neighbors: int = 15, n_pcs: Optional[int] = None, use_rep: Optional[str] = None, knn: bool = True, random_state: Optional[Union[int, RandomState]] = 0, method: str = 'umap', metric: Union[str, Callable[[np.ndarray, np.ndarray], float]] = 'euclidean', metric_kwds: Mapping[str, Any] = {}, copy: bool = False ) -> Optional[AnnData]: ... ``` However, `inspect.Signature`’s `__str__` method just combines it all [into one unreadable line](https://github.com/python/cpython/blob/d170e594b2736c579d12b96b129a8e58975a9c0a/Lib/inspect.py#L3072): `Signature: sc.pp.neighbors(adata: anndata.base.AnnData, n_neighbors: int = 15, n_pcs: Union[int, NoneType] = None, use_rep: Union[str, NoneType] = None, knn: bool = True, random_state: Union[int, mtrand.RandomState, NoneType] = 0, method: str = 'umap', metric: Union[str, Callable[[numpy.ndarray, numpy.ndarray], float]] = 'euclidean', metric_kwds: Mapping[str, Any] = {}, copy: bool = False) -> Union[anndata.base.AnnData, NoneType]` We should render the signature ourselves in a clearer fashion if it’s too long. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] Typo in help command for conan remote auth (Conan 2.0) Hi, I've observed the following typo when running **conan remote auth --help**: ``` ... positional arguments: remote Pattern of the remote/s to disable. The pattern uses 'fnmatch' style wildcards. ... ``` **disable** doesn't make sense here ;). Best regards, gpxricky Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [Question] Pegasus tokenizer @sshleifer - sorry to ping you here on this. Would be amazing if you find some time to explain the Pegasus tokenizer a bit. A couple of things I don't understand: - In the official Pegasus Tokenizer and from reading the paper it seems that exactly 2 mask tokens are necessary. See https://github.com/google-research/pegasus/blob/master/pegasus/ops/pretrain_parsing_ops.cc#L66 a) ID=2 seems to correspond to the sentence mask token, called `[MASK_1]` and b) ID=3 seems to correspond to the word mask token, called `[MASK_2]` => Why don't we have `[MASK_1]` and `[MASK_2]` tokens in the tokenizer's special tokens? I would actually add them at the id's 2 and 3 instead of having `unk_2` and `unk_3` there. Wdyt? - Why do we call the tokens unk_2 - unk_104 ? Why unk? And why aren't those part of the `special_tokens_map` - is this on purpose? - Why does Pegasus inherit from the Reformer Tokenizer -> I don't really see what they have in common... Would be awesome if you could take 10min to reply :-) Can you help me debug this systematically and explain your reasoning?