[System] You are an expert software 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: Update backends, providers and authentication <!-- ⚠ 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? After discussion, the mechanism for using backends, providers and authentication should undergo a revamp to conform to the agreed specification: * [x] implement the providers and authentication changes * [x] add new backend methods * [x] deprecate several top-level methods * [ ] update documentation (readme, sphinx, examples) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: SymPy tests fail in IPython 5b3 Run ``` ./bin/test ipython ``` from the SymPy repo with the IPython 5b3 beta installed. This is the test failure. ``` ______________________________________________________________________________________________________________________________________________________________ _________________________________________ sympy/interactive/tests/test_ipythonprinting.py:test_print_builtin_option __________________________________________ File "/users/aaronmeurer/documents/python/sympy/sympy/sympy/interactive/tests/test_ipythonprinting.py", line 66, in test_print_builtin_option raises(KeyError, lambda: app.user_ns['a'][0]['text/latex']) File "/Users/aaronmeurer/Documents/Python/sympy/sympy/sympy/utilities/pytest.py", line 81, in raises raise AssertionError("DID NOT RAISE") AssertionError: DID NOT RAISE ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `validation_step` progress bar output should be used When you're running validation steps your progress bar iter counter will increment once per `validation_step`. However, AFAICT there's no way to actually customize the progress_bar text during these validation_steps. For large validation sets, this makes it hard to know how far into validation you are, since the iter counter is the total steps. I am returning a dict from `validation_step` like: ``` def validation_step(self, batch, batch_nb): output = {'progress_bar': {'batch_nb': batch_nb}} return output ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: numpy.deprecate indentation question This code has two functions marked as deprecated with `numpy.deprecate`: ``` import numpy as np @np.deprecate(message="foo() is no longer supported.") def foo(): """This is foo. It doesn't do anything. """ return @np.deprecate(message="bar() is no longer supported.") def bar(): """ This is bar. It does the same thing as foo(). """ return ``` The docstrings of `foo` and `bar` end up like this: ``` In [5]: print(foo.__doc__) `foo` is deprecated! foo() is no longer supported. This is foo. It doesn't do anything. In [6]: print(bar.__doc__) `bar` is deprecated! bar() is no longer supported. This is bar. It does the same thing as foo(). ``` Note that the indentation of the added deprecation text doesn't match the indentation of the original docstring. Is this intentional? It messes up the HTML documentation; see, for example, the online documentation for [`scipy.stats.itemfreq`](https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.itemfreq.html). That gray bar in front of what was originally the first line of the docstring ("Return a 2-D array...") shouldn't be there. A related issue was reported in https://github.com/numpy/numpy/issues/8058, which was closed by https://github.com/numpy/numpy/pull/8131. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Notebook checkpoint time is displayed an hour out e.g. I see "Last Checkpoint: Jun 03 09:49 (autosaved: Jun 03 10:49)", having just saved it at 10:49 local time. The notification bubble when I hit save also showed 9:49 instead of 10:49. I don't know whether it's forcing the checkpoint time to UTC, or just somehow missing daylight saving 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 Lightning-AI/lightning codebase. Here's the problem: Automatic docs I know it was proposed before and I tabled it but I think it's time to reconsider so docs can scale easier. Let's use whatever PyTorch uses and do documentation in the code (i assume that's how it's done?). Anyone want to take a stab at this? @Borda Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [Question] list header files in meson introspect Hi, i was wondering why meson don't list header files as source file in intro-targets ? And has meson a way to retreive headers ? (it's needed for completing QtCreator support of meson) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: [frameworks: 15 llvm] fails with llvm/clang 14.0.0 As pointed out here: https://github.com/mesonbuild/meson/pull/10248#issuecomment-1092454817 The error I see in the logs (`check_source_compiles: C: needs to be enabled before use.`) suggest it is https://github.com/llvm/llvm-project/issues/53950 And indeed ```diff diff --git a/mesonbuild/dependencies/data/CMakeListsLLVM.txt b/mesonbuild/dependencies/data/CMakeListsLLVM.txt index 9d3e41234..4084597d3 100644 --- a/mesonbuild/dependencies/data/CMakeListsLLVM.txt +++ b/mesonbuild/dependencies/data/CMakeListsLLVM.txt @@ -2,6 +2,8 @@ cmake_minimum_required(VERSION ${CMAKE_MAJOR_VERSION}.${CMAKE_MINOR_VERSION}.${C set(PACKAGE_FOUND FALSE) +project(MesonTemp LANGUAGES C CXX) + while(TRUE) find_package(LLVM REQUIRED CONFIG QUIET) ``` seems to make it work here. I see that the generic CMakeLists file has some logic to inject the language, so I'm not sure if that should be extended or if the above patch is enough. based on the file history -> pinging @mensinda Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: BatchEncoding.to accepted types too restrictive ## Environment info - `transformers` version: 4.1.1 - Platform: Linux-4.14.81.bm.15-amd64-x86_64-with-debian-9.11 - Python version: 3.7.9 - PyTorch version (GPU?): 1.7.0 (True) - Tensorflow version (GPU?): not installed (NA) - Using GPU in script?: yes - Using distributed or parallel set-up in script?: yes ### Who can help ## Information In `BatchEncoding.to`, the only accepted class types are `str` and `torch.device`. I think some libraries like pytorch-lightning call `.to` with the integer value for the GPU number, and HF complains about this when it is perfectly valid: ``` >>> x = torch.zeros(1) >>> x.to(0) tensor([0.], device='cuda:0') ``` ## Expected behavior Also allow int values in BatchEncoding.to Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Improve documentation for AlignMeasures and ValidatePulseGates transpiler passes <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? In #6673 two new transpiler passes `AlignMeasures` and `ValidatePulseGates` were added. However, the documentation in these passes doesn't really describe anything about the passes, what they're used for, or how they are supposed to be used. Both only have a single line description about the pass (which basically mirrors the class name) and a comment about it being hardware aware. We should improve the documentation for these passes so it explains to users the purpose of the pass, what they can be used for, and how they're used. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [Feature request] Can we WARN when a user changes `user_home_short` to same as `path`? A colleague was working fine with Conan for weeks, then started getting the following error even for simple operations such as `conan search`: ``` C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC>conan search ERROR: Value provided for package version, '1' (type Version), is too short. Valid names must contain at least 2 characters. ``` I see similar https://github.com/conan-io/conan/issues/5606 -- is this the same issue? Windows Server 2012 R2, conan 1.16.1 To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] 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 Qiskit/qiskit codebase. Here's the problem: Adding a backend_overview I think it is important to be able to view the backend status. I find myself writing this code lots ```python for backend in [IBMQ.backends(), Aer.backends()]: print(backend.status()) ``` and even this is not enough. I would like to be able to have a terminal or a section of my Juypiter (or even app) telling me continually the backend status. I would like to write something like ``` python backend_monitor([IBMQ, Aer,...]) ``` and this makes an output for me like ``` {'pending_jobs': 10, 'name': 'ibmqx4', 'operational': True} {'pending_jobs': 8, 'name': 'ibmqx5', 'operational': False} {'pending_jobs': 0, 'name': 'ibmqx2', 'operational': False} {'pending_jobs': 54, 'name': 'ibmq_16_melbourne', 'operational': True} {'pending_jobs': 0, 'name': 'ibmq_qasm_simulator', 'operational': True} {'name': 'qasm_simulator', 'operational': True, 'pending_jobs': 0} {'name': 'qasm_simulator_py', 'operational': True, 'pending_jobs': 0} {'name': 'statevector_simulator', 'operational': True, 'pending_jobs': 0} {'name': 'statevector_simulator_py', 'operational': True, 'pending_jobs': 0} {'name': 'unitary_simulator', 'operational': True, 'pending_jobs': 0} {'name': 'clifford_simulator', 'operational': True, 'pending_jobs': 0} ``` I think we need to add 'provider': 'IBMQ' (also add this to the spec) and "status_msg": "This is a status message" where the status_msg is set by the backend controller (down for maintence, retireded)... I think this should continue until I quit it, but this we can discuss more. Like the job_monitor it should live in wrapper or tools. I still need @delapuente to convince me what the difference 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 conan-io/conan codebase. Here's the problem: [feature] Support for Xcode 13.3 (currently in beta) Xcode 13.3 (still in beta) reports clang version as 13.1.6, so equivalent of #9642 is needed. - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: BART summarization, tokenizer not working @patil-suraj When I am running pytorch/summarization, the logs are as below: ``` Adding AddedToken(content='<s>', single_word=False, lstrip=False, rstrip=False, normalized=True) to the vocabulary Adding AddedToken(content='</s>', single_word=False, lstrip=False, rstrip=False, normalized=True) to the vocabulary Adding AddedToken(content='<pad>', single_word=False, lstrip=False, rstrip=False, normalized=True) to the vocabulary Adding AddedToken(content='<mask>', single_word=False, lstrip=True, rstrip=False, normalized=True) to the vocabulary Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. https://huggingface.co/facebook/bart-large-cnn/resolve/main/pytorch_model.bin not found in cache or force_download set to True, downloading to /home/sdiaoaa/.cache/huggingface/transformers/tmpama_iuh8 ``` But the embedding did not fit for the added tokens. The embedding is still [50264] but the token_ides ranges from [0, 50269] Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: DOC: Fix mistake in documentation of `*.npy` header. The [documentation](https://docs.scipy.org/doc/numpy/neps/npy-format.html#format-specification-version-1-0) of the format contains the following paragraph: > "The next HEADER_LEN bytes form the header data describing the array’s format. It is an ASCII string which contains a Python literal expression of a dictionary. It is terminated by a newline (‘n’) and padded with spaces (‘x20’) to make the total length of the magic string + 4 + HEADER_LEN be evenly divisible by **16** for alignment purposes." In the code comments (and in the actual format), padding is done such that the sum of the length of the magic string, 4, and the HEADER_LEN, is evenly divisible by **64**, not 16, as shown [here](https://github.com/numpy/numpy/blob/master/numpy/lib/format.py#L105): This has caused me some headache while writing a custom .npy serializer.. Also, the wording "to make the total length of the magic string + 4 + HEADER_LEN" is a little confusing, as it makes it seem that the amount being referenced is equal to `total length of magic string` + `4` + `HEADER_LEN` as opposed to total length of `magic string + 4 + HEADER_LEN`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: KubernetesPodOperator pod_template_file content doesn't support jinja airflow template variables KubernetesPodOperator pod_template_file content doesn't support jinja airflow template variables. pod_template_file is part of templated_fields list. https://github.com/apache/airflow/blob/master/airflow/providers/cncf/kubernetes/operators/kubernetes_pod.py#L165 template_fields: Iterable[str] = ( 'image', 'cmds', 'arguments', 'env_vars', 'labels', 'config_file', 'pod_template_file', ) But pod_template_file content is not supporting template variables. pod_template_file can be implemented the way SparkKubernetesOperator implemented using template_ext https://github.com/apache/airflow/blob/master/airflow/providers/cncf/kubernetes/operators/spark_kubernetes.py#L46 template_ext = ('yaml', 'yml', 'json') Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: No way to disable checkpoint callback With the recent change to provide a checkpoint callback by default, there's no way to disable checkpointing. Passing `checkpoint_callback=None` results in the default checkpointer being created. In `Trainer.__Init__`: ```python self.checkpoint_callback = checkpoint_callback if self.checkpoint_callback is None: if isinstance(logger, TestTubeLogger): ckpt_path = '{}/{}/{}'.format(self.default_save_path, self.logger.name, self.logger.version) else: ckpt_path = self.default_save_path self.checkpoint_callback = ModelCheckpoint( filepath=ckpt_path ) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Kernel start fails when using --browser argument repro steps: 1. Start ipython notebook with browser flag: - $ ipython notebook --browser firefox - Note that this successfully starts the notebook in firefox instead of the default browser 2. Open/create a notebook document 3. Wait for kernel to start What I expect to see: everything should just work :) What I see: A "Kernel restarting" dialog opens in the browser window for a little while, and finally switches to a "Dead kernel" dialog. The console log shows evidence of attempting to restart the kernel, ending with the following: [IPKernelApp] CRITICAL | Bad config encountered during initialization: [IPKernelApp] CRITICAL | Unrecognized flag: '--browser' 2014-04-11 15:58:30.172 [NotebookApp] WARNING | KernelRestarter: restart failed 2014-04-11 15:58:30.174 [NotebookApp] WARNING | Kernel 218d6d1f-0779-42b8-802f-5b3df58bc919 died, removing from map. ERROR:root:kernel 218d6d1f-0779-42b8-802f-5b3df58bc919 restarted failed! Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 a blocking Delay instruction to pulse <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? We should add a new type of instruction `Delay` to pulse. This will be a blocking instruction that will occupy the timeslot for a given duration on the specified channel. This command should accept only duration and name as parameters. The command will be ignored at assembly 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 ipython/ipython codebase. Here's the problem: `_log_format_changed()` missing 3 required positional arguments In `IPython.config.application`, the `_log_datefmt_changed` handler calls `_log_format_changed` but does not pass it the required arguments. My guess would be that this is the correct implementation: ``` def _log_datefmt_changed(self, name, old, new): self._log_format_changed(name, self.log_format, self.log_format) ``` However I am not really sure what the `name` parameter is for, so I might be 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 googleapis/google-cloud-python codebase. Here's the problem: BigQuery: Fix anchors in URLs in external_config module In `external_config.py`, many links in docstrings point to non-existing HTML anchors, making them less convenient to open the page at the exact property/object the link points to. **Example:** The link to the `compression` property > https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#externalDataConfiguration.compression should actually be > https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#ExternalDataConfiguration.FIELDS.compression Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: service_run_+1 I have a two cronjob for `run` `php` service in same time. Only one `run` command execute correctly ``` Cannot create container for service php: Conflict. The container name "/folder_php_run_1" is already in use by container {hashhere}. You have to remove (or rename) that container to be able to reuse that name. Command exited with non-zero status 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 conan-io/conan codebase. Here's the problem: [question] Is there a way to remove "modified" fields from lockfiles? <!-- What is your question? Please be as specific as possible! --> Hello, I'm playing with lockfiles right now, and my goal is to start a CI job, doing: * generating a `conan.lock` from the top-level recipe * rebuilding everything from the modified dependency up to the top-level recipe * pushing the lockfile to a repo, so that devs and further CI jobs can reuse it Problem is, the lockfile will contain `modified=built` fields, which make the lockfile unusable by further CI jobs. @memsharded told me that there was a previous `clean` command, that was removed earlier, reintroducing it might solve the problem. - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Bug in text format of SabreSwap What is the file name(s) where you found the bug? File name: SabreSwap https://qiskit.org/documentation/apidoc/transpiler_passes.html#module-qiskit.transpiler.passes What is the current text that needs to be fixed? The mathematical expression for H_decay is overflown and out of the webpage margins. The absolute sign is missing? The link for 'SabreSwap()' https://qiskit.org/documentation/stubs/qiskit.transpiler.passes.SabreSwap.html#sabreswap Are there other related issues or pull requests about this bug? No. Does existing documentation need to be updated with new content? No Which files need to be updated? No ![Screen Shot 2020-08-14 at 7 34 06 PM](https://user-images.githubusercontent.com/69056626/90299710-26aa9c80-de65-11ea-8da2-4df716ea60c3.png) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: provide CONAN_CACHE_NO_LOCKS environment variable right now debugging conan (e.g. via PyCharm) is not very convenient, as stopping debugging causes strayed lock files, and it's necessary to run `conan remove --locks` each time before running. there is config setting `general.no_cache_locks`, but it's global, and affects regular conan execution. with environment variable, it's much more straightforward, as it can be easily specified in debugging target properties. To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] 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 mesonbuild/meson codebase. Here's the problem: cross compiler needs_exe_wrapper is ignored I tried to compile mesa with meson 0.51 with an x86_64 -> x86 cross compile, and it fails because one of our generators is host compiled, which will run just fine but meson asserts and dies instead. Looks pretty trivial, I'll fix it. Related to #5509 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Adjust `start_tasks` to include key tasks When a flow is run with `start_tasks`, we should add key tasks (`terminal_tasks`, `reference_tasks`) to the list of visited tasks. Otherwise, the FlowRunner will not have all available states when it performs its final state evaluation Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: vmap should check in_axes tree-prefix property, raise clear error Also we can probably improve the docstring's explanation of what tree prefixes are about. Thanks, @zhongwen ! Allow vmap to accept unbatchable arguments if they aren't mapped over I want to use vmap on functions that have some arguments which don't need to be mapped over. I can specify this using in_axes, but vmap doesn't allow this for some argument types. It seems to check if every argument is a valid type for batching, even if that argument is ignored due to in_axes. Can you remove this check for those arguments which won't be batched over? A simple example: ```Python from jax.api import vmap import jax.numpy as np def mymap(f, x): return f(x) vmap(mymap, in_axes=(None, 0))(np.sin, np.linspace(0, 1, 10)) ``` Fails with `TypeError: <type 'function'> is not a valid type for batching` This is a minor issue, because I could get around with with `partial` or by making closures, but that clutters up the code a bit. Better error messages for vmap dimensions This piece of code is incorrect since in_axes should be (0, 0) instead of (0, 1) def h(a, b): return np.sum(a) + np.sum(b) X = onp.random.randn(10, 4) U = onp.random.randn(10, 2) vmap(h, in_axes=(0, 1))(X, U) The current error message is: "got inconsistent map dimension sizes: set([10, 2])" I think the error message could describe the input shapes and mention which dimensions we are batching over. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [Bug] meson failed to compile with ubuntu 18.04 on launchpad build **Describe the bug** I was trying to build meson with ubuntu 18.04 on launchpad . But it is continuously failing to build. Always test error. For more details see the [launchpad build log](https://launchpad.net/~pipewire-debian/+archive/ubuntu/bionic-qt5125/+build/22357414/+files/buildlog_ubuntu-bionic-amd64.meson_0.60.0.r15.gc9e6afc-1~ubuntu18.04_BUILDING.txt.gz) I'd tried to build from release and from the latest branch 0.60 both are failing. I can successfully build the same with ubuntu >= 20.04 **Expected behavior** Test is failing. I think you can understand seeing the above mentioned launchpad build log properly. **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.) ubuntu 18.04 * what Python version are you using e.g. 3.6.9 * what `meson --version` 0.58 * 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 conan-io/conan codebase. Here's the problem: --update is not working with python-requires with version-ranges @memsharded This is still not functioning. `conan version 1.15.1` I'm using python requires in the manner described here: https://docs.conan.io/en/latest/extending/python_requires.html#python-requires-reusing-code-experimental I'm defining base ConanFile recipes, which works great! In my downstream conanfiles: ``` common = python_requires('ConanRecipes/[>=0.1.0-0, include_prerelease=True]@mh/testing') class ThisIsAPackage(common.BaseRecipe): ``` However, it still does not get updated with `--update` I have to remove the ConanRecipes locally to get latest version. `conan remove ConanRecipes* -f` Then it downloads the latest one. _Originally posted by @Mark-Hatch-Bose in https://github.com/conan-io/conan/issues/4650#issuecomment-497464305_ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Opt-out of checkpointing on a single Task ## Current behavior With 0.9.0 Prefect Flows will begin aggressively checkpointing, taking a hint to enable or disable checkpointing based on the existence of a result handler. It may be desired to have select tasks to not checkpoint by specifying `@prefect.task(checkpointing=False)`, however, this option is now ignored. ## Proposed behavior Allow for select tasks to disable checkpointing with `@prefect.task(checkpointing=False)`. The Flow should continue to checkpoint all other tasks. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Possibly wrong API documentation for BigBirdTokenizerFast - `transformers` version: v.4.9.0 ### Who can help Documentation: @sgugger ## Information At this URL: https://huggingface.co/transformers/model_doc/bigbird.html#transformers.BigBirdTokenizerFast The doc says, `bos_token (str, optional, defaults to "[CLS]")` and `eos_token (str, optional, defaults to "[SEP]")` but the actual code is: ``` def __init__( self, vocab_file=None, tokenizer_file=None, unk_token="<unk>", bos_token="<s>", eos_token="</s>", pad_token="<pad>", ``` May be the API document need a fix? the explanation seems already clear though, only default value of those params are 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 google/jax codebase. Here's the problem: jax.devices returns only the devices from the default backend The documentation of jax.devices says that it returns all devices. This is not true in multi-backend setups, it returns only the devices from the default backend. This was confusing to me initially, and I also encountered this confusion in issue #2785 The simplest change would be to the documentation: if no `backend` is specified then only the devices on the default backend are returned (along with an explanation of what is the default backend). A better change may be though to say that it returns all devices, in the order of backend priority, such that `devices()[0]` is the same as now. This may break some code though. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: jax.numpy.linalg ops missing GPU implementation I often hit messages like ```"Singular value decomposition is only implemented on the CPU backend"``` (https://github.com/google/jax/blob/27746b8c73f9ca9928da5da40b7382ae648a5f8d/jax/lax_linalg.py) for many `jax.numpy.linalg` ops. Examples I've hit so far are when calling: `jax.numpy.linalg.svd`; `jax.numpy.linalg.eigh`. It would be nice to be able to run on GPU. 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 numpy/numpy codebase. Here's the problem: Legacy 1.13 printing broken for 0d arrays Code to trigger the error: ```python >>> import numpy as np >>> np.__version__ '1.14.2' >>> np.array2string(np.array(1.0)) '1.' >>> np.set_printoptions(legacy='1.13') >>> np.array2string(np.array(1.0)) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "[...]/numpy/core/arrayprint.py", line 616, in array2string return style(a.item()) TypeError: object() takes no parameters ``` Same error with 1.14.1 and 1.14.0. Since `style` is just an alias for `np._NoValue` the code effectively calls (or instantiates, depending on the code version) `_NoValue(1.0)`, which is not valid. I saw that there was a recent change in `_globals.py` that makes `_NoValue` an instance instead of a class, but it has no `__call__`, so unless I'm missing something, it won't work either. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: resolve orphan process issues on Windows when terminating runs launched with the grpc run launcher Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Deprecation warnings in algorithms and opflow <!-- ⚠ 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? Doing a quick grep for `DeprecationWarning` in `qiskit/algorithms` and `qiskit/opflow` there are several places emitting deprecation warnings: - opflow/gradients/circuit_gradients/lin_comb.py - opflow/gradients/circuit_qfis/lin_comb_full.py - algorithms/optimizers/spsa.py - algorithms/optimizers/aqgd.py - algorithms/amplitude_amplifiers/grover.py - algorithms/optimizers/gsls.py Since these APIs are new in this namespace and in terra we should not be having an initial release with deprecations. The version in Aqua will have the deprecations and users will have to adapt there usage when they migration from aqua to the terra versions. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Bug in run_classifier.py fp16 learning rate After the latest update, my learning rate of fp16 in run_classifier.py keeps increasing. https://github.com/huggingface/pytorch-pretrained-BERT/blob/2dee86319dbad575352358b8f2fb4129940e381a/examples/run_classifier.py#L857-L858 I think the right code is: lr_this_step = args.learning_rate * warmup_linear.get_lr(global_step, args.warmup_proportion). https://github.com/huggingface/pytorch-pretrained-BERT/blob/2dee86319dbad575352358b8f2fb4129940e381a/pytorch_pretrained_bert/optimization.py#L53-L62 In this function, the first argument should be step, and global_step/num_train_optimization_steps makes process calculated again and when input process to WarmupLinearSchedule, it would be too small to decrease https://github.com/huggingface/pytorch-pretrained-BERT/blob/2dee86319dbad575352358b8f2fb4129940e381a/pytorch_pretrained_bert/optimization.py#L162-L171 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Save/load hyperparameters with checkpoint Right now, test tube users can have `model.load_from_metrics`, but there's no equivalent functionality for users of other logging frameworks. I believe we discussed a while ago that this functionality should be decoupled from logggers. Proposal: * When hyperparameters are stored as an `argparse.Namespace` in the `hparams` property of the model (as already required to get automatic hyperparam logging), save these parameters as part of checkpoints. * Add a `load_from_checkpoint` classmethod to LightningModule that basically duplicates the functionality of `load_from_metrics`, but gets the hyperparameters from the checkpoint directly. I'm happy to send a PR if this proposal looks okay. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Usability improvements to Qt console Currently the Qt console is tricky to use with multiline cells recalled from history because it's very easy to go 'off the edge'. If the cursor reaches the top or bottom line and you do up/down once more, you jump to the next cell. When recalling history that's the desired behavior, but when you've already edited a cell, it's jarring to get bumped out of your editing context due to a single arrow movement. I don't know how easy/possible it would be to implement, but my idea is the following: the console should detect when a cell has been made 'dirty' by editing (any typing other than arrow movements, pasting, etc), then the behavior should change. At that point, the cell boundaries should become 'hard', preventing the cursor from exiting unless the person clears the cell. Basically, once the cell is being edited, it should feel like a little text editor that doesn't lose its content without some drastic action. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Did `numpy.version.short_version` disappear in version 1.21 RC ? I noticed the attribute `numpy.version.short_version` no more exists in the latest release candidate (1.21.0RC1) which has been pip-installed on linux-amd64 running python3.9 (binary wheel). This is breaking some build scripts downstream. I just wonder if it was foreseen to remove this attribute ? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Add support to log hparams and metrics to tensorboard? How can I log metrics (_e.g._ validation loss of best epoch) together with the set of hyperparameters? I have looked through the docs and through the code. It seems like an obvious thing, so maybe I'm just not getting it. Currently, the only way that I found was to extend the logger class: ```python class MyTensorBoardLogger(TensorBoardLogger): def __init__(self, *args, **kwargs): super(MyTensorBoardLogger, self).__init__(*args, **kwargs) def log_hyperparams(self, *args, **kwargs): pass @rank_zero_only def log_hyperparams_metrics(self, params: dict, metrics: dict) -> None: params = self._convert_params(params) exp, ssi, sei = hparams(params, metrics) writer = self.experiment._get_file_writer() writer.add_summary(exp) writer.add_summary(ssi) writer.add_summary(sei) # some alternative should be added self.tags.update(params) ``` And then I'm writing the hparams with metrics in a callback: ``` def on_train_end(self, trainer, module): module.logger.log_hyperparams_metrics(module.hparams, {'val_loss': self.best_val_loss}) ``` But that doesn't seem right. Is there a better way to write some metric together with the hparams as well? #### Environment - OS: Ubuntu18.04 - conda4.8.3 - pytorch-lightning==0.7.1 - torch==1.4.0 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 Qiskit/qiskit codebase. Here's the problem: Upgrade pylint <!-- ⚠ 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? Upgrade Pylint. Switching from pylint to flake8 are discussed another issue #1179. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: "Tried to use subproject object as a dependency." erroneous message Given the following structure: ``` touch foo.c echo "project('test', 'c') subdir('subdir') executable('foo', 'foo.c', dependencies: subdir_lib)" > meson.build mkdir subdir touch subdir/lib.c echo "subdir_lib = static_library('lib', 'lib.c')" > subdir/meson.build meson build ``` Meson throws an exception: ``` Meson encountered an error in file meson.build, line 5, column 0: Tried to use subproject object as a dependency. You probably wanted to use a dependency declared in it instead. Access it by calling get_variable() on the subproject object. ``` But actually there is no subproject at all in this project, it confused me a lot to understand what was the actual problem which is I should not use a library as a dependency. All the stuff about `get_variable` is wrong and confusing in my opinion. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: slim down progress bar default printing ## 🚀 Feature The progress bar is cluttered, too many prints by default. Let's remove some of them. ### Pitch Hi guys, I feel the progress bar contains some uninformative prints and leaves little space for user customization. This is the progress bar print before validation, with empty tqdm_dict (so no user addition to the progress bar metrics): ``` Epoch 1: 39%|███▉ | 343/875 [00:07<00:10, 48.46batch/s, batch_nb=342, gpu=0, loss=0.408, v_nb=18] ``` This is after a validation step where I add to the tqdm_dict validation accuracy and loss: ``` Epoch 2: 20%|█████████████████▏ | 171/875 [00:03<00:11, 58.99batch/s, batch_nb=170, gpu=0, loss=0.267, v_nb=21, val_acc=91.8, val_loss=0.278] ``` To avoid more clutter and make some room for user-defined metrics, I propose to **remove** the following outputs from the progress bar: - **batch_nb**: this is redundant, essentially the same number is printed on the left - **loss**: this is something always computed in the training step. If the user wants to show it, he just adds it to the tqdm_dict - **gpu**: this info is useless in single-gpu setting, and likely also in multi-gpu ones. - **v_nb**: This is the experiment version number, which is very convenient to know. Since it stays the same during the whole experiment, we could just print it by default before the training starts. Also, I propose to rename "batch/s" to tqdm default "it/s" to save a few extra characters. Pinging @tullie @Borda since this discussion almost started in #531 . Best, C Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: installed mode tests fail for non-root user on Solaris ``` ====================================================================== FAIL: test_installed_modes (__main__.LinuxlikeTests) ---------------------------------------------------------------------- Traceback (most recent call last): File "run_unittests.py", line 4579, in test_installed_modes self.assertEqual(want_mode, found_mode[1:]) AssertionError: 'rw------T' != 'rw-------' - rw------T ? ^ + rw------- ? ^ ``` ``` ====================================================================== FAIL: test_installed_modes_extended (__main__.LinuxlikeTests) ---------------------------------------------------------------------- Traceback (most recent call last): File "run_unittests.py", line 4650, in test_installed_modes_extended (fsobj, want_mode, found_mode))) AssertionError: '-r--r--r-T' != '-r--r--r--' - -r--r--r-T ? ^ + -r--r--r-- ? ^ : Expected file include/rootdir.h to have mode -r--r--r-T but found -r--r--r-- instead. ``` This appears to be because [Solaris chmod(2)](https://docs.oracle.com/cd/E88353_01/html/E37841/chmod-2.html) has an additional restriction: > If the process is not a privileged process and the file is not a direc- > tory, mode bit 01000 (S_ISVTX, the sticky bit) is cleared. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: %paste + history From a user point of view, it seem like `%paste` should not store itself in IPython's history, but instead store the text that was pasted. It seems unlikely that a user will want to use history to get to paste again over get to the thing that was pasted. ![ipython-paste](https://user-images.githubusercontent.com/1813603/157872550-0ea6043c-c844-4e5e-b499-9cfe3e0c5ea9.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 conan-io/conan codebase. Here's the problem: KeyError on second upload of a package without remote in registry When a package is uploaded to a remote, it gets associated to it in the registry. If the remote is removed from the registry (``conan remote remove``) and the package is uploaded to a different remote, Conan ends with an error and the name of the remote. The error turns to be a KeyError on a registry search of the remote url and verify_ssl in here: https://github.com/conan-io/conan/blob/a52dcdc87dd8146b661ed650da616b9fcd2371e3/conans/client/cache/remote_registry.py#L122 Here is a test reproducing the issue: ``` def upload_key_error_test(self): files = cpp_hello_conan_files("Hello0", "1.2.1", build=False) server1 = TestServer([("*/*@*/*", "*")], [("*/*@*/*", "*")], users={"lasote": "mypass"}) server2 = TestServer([("*/*@*/*", "*")], [("*/*@*/*", "*")], users={"lasote": "mypass"}) servers = OrderedDict() servers["server1"] = server1 servers["server2"] = server2 client = TestClient(servers=servers) client.save(files) client.run("config set general.revisions_enabled=True") client.run("create . user/testing") client.run("user lasote -p mypass") client.run("user lasote -p mypass -r server2") client.run("upload Hello0/1.2.1@user/testing --all -r server1") client.run("remove * --force") client.run("install Hello0/1.2.1@user/testing -r server1") client.run("remote remove server1") client.run("upload Hello0/1.2.1@user/testing --all -r server2") self.assertNotIn("ERROR: 'server1'") ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: PROFILE_DIR with forward slashes hi there, I want to use the ```PROFILE_DIR``` variable in my profiles to access a path relative to the value of that variable. Now I do cross-compiling with a compiler that cannot parse backslashes. An example yaml like this: ```yaml [env] ABC=$PROFILE_DIR/path/abc ``` will result in a malformed path as the compiler tries to interpret the slashes as excape characters: compiler parsed: ... C:UsersNAME.conanprofiles/path/abc ... Would it be possible to provide an POSIX style path (like PROFILE_DIR_POSIX)? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Clean C++20 support for CMake 3.12+ CMake 3.12 is out there and officially supports C++20. So now you can use clean way to enable C++20 mode if CMake 3.12 or later is detected. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: StochasticSwap bug <!-- ⚠ 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**: - **Python version**: 0.7.0 - **Operating system**: ### What is the current behavior? The stochastic swap mapper seems to create a non-equivalent circuit for the following case: ```python from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit from qiskit import BasicAer, execute from qiskit.transpiler import PassManager, transpile from qiskit.transpiler.passes import StochasticSwap from qiskit.mapper import CouplingMap coupling = [[0, 1], [1, 2], [2, 3], [3, 4], [4, 5], [5, 6]] qr = QuantumRegister(7, 'q') cr = ClassicalRegister(7, 'c') circuit = QuantumCircuit(qr, cr) circuit.h(qr[3]) circuit.cx(qr[0], qr[6]) circuit.cx(qr[6], qr[0]) circuit.cx(qr[0], qr[1]) circuit.cx(qr[3], qr[1]) circuit.cx(qr[3], qr[0]) circuit.measure(qr, cr) simulator = BasicAer.get_backend('qasm_simulator') coupling_map = CouplingMap(couplinglist=coupling) pass_manager = PassManager(StochasticSwap(coupling_map=coupling_map)) stochastic_circ = transpile(circuit, simulator, pass_manager=pass_manager) print(execute(circuit, simulator).result().get_counts()) print(execute(stochastic_circ, simulator).result().get_counts()) ``` ``` {'0000000': 488, '0001011': 536} {'0000000': 499, '0001001': 525} ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: issue with i18n.merge_file I have the following rule: ``` i18n.merge_file( 'org.freedesktop.systemd1.policy', po_dir : po_dir, input : policy_in, output : 'org.freedesktop.systemd1.policy', install : true, install_dir : polkitpolicydir) ``` This fails like this: ``` FAILED: src/core/org.freedesktop.systemd1.policy 'msgfmt' '--xml' '--template' 'src/core/org.freedesktop.systemd1.policy.in' '-d' '/home/zbyszek/src/systemd/po' '-o' 'src/core/org.freedesktop.systemd1.policy' msgfmt: cannot locate ITS rules for src/core/org.freedesktop.systemd1.policy.in ``` I have no idea what "ITS rules" are ;( Doing it "manually" works: ``` policy_in = configure_file( input : 'org.freedesktop.systemd1.policy.in.in', output : 'org.freedesktop.systemd1.policy.in', configuration : substs) custom_target( 'org.freedesktop.systemd1.policy', input : policy_in, output : 'org.freedesktop.systemd1.policy', command : intltool_command, install : true, install_dir : polkitpolicydir) ``` I saw similar message in https://github.com/mesonbuild/meson/issues/1441#issuecomment-283585493, it might be related... Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Bug in numpy_pad_and_concatenate https://github.com/huggingface/transformers/blob/77b862847b8069d57c0849ca012f48414c427d8e/src/transformers/trainer_pt_utils.py#L71 I believe this should be `np.concatenate((array1, array2), axis=0)` Bug in numpy_pad_and_concatenate https://github.com/huggingface/transformers/blob/77b862847b8069d57c0849ca012f48414c427d8e/src/transformers/trainer_pt_utils.py#L71 I believe this should be `np.concatenate((array1, array2), axis=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 mesonbuild/meson codebase. Here's the problem: mesonintrospect --dependencies no longer works in 0.41.0 ``` Traceback (most recent call last): File "/usr/bin/mesonintrospect", line 20, in <module> sys.exit(mintro.run(sys.argv[1:])) File "/usr/lib/python3.6/site-packages/mesonbuild/mintro.py", line 245, in run list_deps(coredata) File "/usr/lib/python3.6/site-packages/mesonbuild/mintro.py", line 162, in list_deps if d.found(): AttributeError: 'tuple' object has no attribute 'found' ``` Broke with 8cf29bd288cb67008a42a5c9503042f975c04a43 in which CoreData.deps was changed to an OrderedDict? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Quickstart guide recommends np.set_printoptions(threshold=np.nan), which fails We should update [this guide](https://github.com/eric-wieser/numpy/blob/master/doc/source/user/quickstart.rst#printing-arrays) to use `sys.maxsize`. @mattip, I'm correct in assuming you prefer that to np.inf? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Add the fast implementation of `BlenderbotTokenizer` # 🚀 Feature request As it is the case for other models' tokenizers, add the fast implementation of BlenderbotTokenizer. ## Motivation To have faster tokenization for Blenderbot models. (Also, the implementation should be pretty straightforward considering the similarity to the `RobertaTokenizer`/`RobertaTokenizerFast`.) ## Your contribution I would like to have a look at this and will be glad to add that. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: SyntaxError: encoding declaration in Unicode string ``` In [1]: # -*- coding: utf-8 -*- File "<ipython-input-1-df4697b9472e>", line unknown SyntaxError: encoding declaration in Unicode string ``` In regular Python ``` py >>> # -*- coding: utf-8 -*- ... >>> ``` This came up `%paste`ing an example from http://numba.pydata.org/numba-doc/dev/examples.html#id1. This seems related to #1103. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: The PDF option for `--post` should work with lowercase Right now to get a PDF out of nbconvert you have to to ``` ipython nbconvert --to latex --post PDF foo.ipynb ``` Many users will try `pdf` instead and the error message is very confusing. We should just make it work with lowercase. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `FakePrague` list of supported operations is incorrect Looking at this list: ```python from qiskit.providers.fake_provider import FakePrague backend = FakePrague() list(zip(backend.operation_names, [type(x) for x in backend.operations])) ``` ```python [('id', qiskit.circuit.library.standard_gates.i.IGate), ('rz', qiskit.circuit.library.standard_gates.rz.RZGate), ('sx', qiskit.circuit.library.standard_gates.sx.SXGate), ('x', qiskit.circuit.library.standard_gates.x.XGate), ('cz', qiskit.circuit.gate.Gate), ('reset', qiskit.circuit.reset.Reset), ('measure', qiskit.circuit.measure.Measure), ('delay', qiskit.circuit.delay.Delay)] ``` you see that the entry for `cz` is not an instance of `CZGate`. This is apparently the origin of the bug referenced in #9935 #9937 #9982 . The gate with name `cz` in the list above is not recognized as a CZ gate when doing unitary synthesis here https://github.com/Qiskit/qiskit-terra/blob/971a203deb33bdc309b1467d00e39efc5eda8936/qiskit/transpiler/passes/synthesis/unitary_synthesis.py#L646 and here https://github.com/Qiskit/qiskit-terra/blob/971a203deb33bdc309b1467d00e39efc5eda8936/qiskit/transpiler/passes/synthesis/unitary_synthesis.py#L677 Furthermore: ```python In [37]: badcz = backend.operations[4] In [38]: badcz.definition # None In [39]: badcz.to_matrix() # Raises error CircuitError: "to_matrix not defined for this <class 'qiskit.circuit.gate.Gate' ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Build Quality of Life Improvements - We need to add the following to `webpack.config.js`: `optimization: minimizer: [new UglifyJsPlugin({ cache: process.platform !== "win32" })]`, to help avoid the path length restriction on Windows. I ran into this today on a machine where I don't have admin access to make a change to the registry. I was getting paths like the following: `node_modules\\\\.cache\\\\uglifyjs-webpack-plugin\\\\content-v2\\\\sha512\\\\f0\\\\d9\\\\41b44207c2fa7189a30f3b6aeb8e22585bd4b0a78f8de3894c218f5b16de8ff9e48f3e54f767f6f69f99b6ba0a41538dd5b163d436d72ceb0ba4f3d4fbd` - We should also consider making `dev_build` the default option for `jupyter lab build` (and `labextension install`), and only uglify when explicitly asked, to avoid taking up large amounts of CPU, RAM, and 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 Lightning-AI/lightning codebase. Here's the problem: `use_amp` is broken in 0.7.0 I see that `use_amp` is deprecated but since the Trainer still accepts it as an argument, I believe this is still a bug. The issue is that the [hook that deals with this](https://github.com/PyTorchLightning/pytorch-lightning/blob/3c2fd560aa4d31b4f48ee225b83361deec53d9c7/pytorch_lightning/core/hooks.py#L136-L143) specifically checks if `trainer.precision == 16`. However, the Trainer does not set `precision = 16` if `use_amp = True`. Proposed solution: if `use_amp` is passed in, set precision = 16 and raise a deprecation warning. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Clear-all on save option I sometimes forget to clear all before saving and checking the notebook into revision control, and it produces harder to read diffs and file sizes larger than I want to be commiting. Being able to set an option within a notebook to only save in cleared format would be very useful. Even nicer would be if it didn't clear the open notebook, just the saved version. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: DOC: Add extended documentation of '@' operator, @rgommers >Another idea, from the "deprecate np.matrix" discussion: add numpy documentation describing the preferred way to handle matrices, extolling the virtues of @, and move np.matrix documentation to a deprecated section. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: access to exe_wrapper from test scripts igt has some tests (in meson) that are shell scripts, but they need to invoke built binaries. So it needs some way to get at the exe_wrapper. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: bart-large-cnn ROUGE-L scores ## Environment info ### Who can help BART + Summarization @sshleifer ## Information Model I am using is BART. The problem arises when: verifying accuracy numbers of facebook/bart-large-cnn on CNN+Daily Mail. The paper reports R1, R2, RL of 44.16, 21.28, 40.90 but I can get only 44.05, 21.07, 30.62. I used [this](https://github.com/abisee/cnn-dailymail) to make my dataset. Is this expected? The tasks I am working on is: * CNN-Dm summarization task ## To reproduce Steps to reproduce the behavior: 1. Follow instructions to download dataset 2. Run with `python run_summarization.py --reference_path=data/cnn_dm/test.target data/cnn_dm/test.source results/test.log` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 timestamp to docs In a call I had today, it was suggested that it would be useful to add a timestamp to the docs, in addition to the link to the commit that generated them. Currently this only exists in the API reference. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Manually triggering a dagrun when already at max_active_runs leads to nothing being scheduled. If you have a DAG with `max_active_runs=1` and it is running some tasks, and then you manually trigger another run of this DAG, both runs end up not scheduling anything and you see this message over and over in the logs: ``` [2020-10-16 14:00:34,118] 2437572 {{airflow.jobs.scheduler_job.SchedulerJob scheduler_job.py:1657}} INFO - DAG scenario1_case2_01_1 already has 1 active runs, not queuing any more tasks ``` A longer term fix for this would be to introduce a "queued" state for DagRuns, and then when manually creating dag runs set it to queued, and only have the scheduler set DagRuns to running. That may or may not be less work than fixing the current mechanism. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Remove optimization to match `track_features` ### What happened? https://github.com/conda/conda/blob/main/conda/core/subdir_data.py#L154-L161 is code to match `track_features`, but it looks for the match against a nonexistent field `track`. This has been broken since at least 2017 https://github.com/conda/conda/commit/12669896ecaa7c853ea8028958c44ef86515402f#diff-ca5dabe5c431ae6f12bae85508e4f38520d264980ba10060eb882cdeff8fc5f4L120 And the SubdirData._track_features index doesn't split features by commas, instead, it creates one-letter features. Remove the index used for searching on track_features when the exact package name is not given '*[track_features=<name>]' Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: "import" module completion on MacOSX "import" module completion doesn't work for some modules (e.g. sqlalchemy), because in site-packages directory these modules are archived .egg files. Version information: MacOS X Mountain Lion, python 2.7, ipython 0.13.1 Here is a quick patch: ``` patch --- IPython/core/completerlib.py 2012-10-21 03:30:53.000000000 +0300 +++ ../completerlib.py 2012-11-07 15:14:10.000000000 +0200 @@ -88,10 +88,13 @@ name, extension = os.path.splitext( path ) return import_re.match(path) and py3compat.isidentifier(name) - # Now find actual path matches for packages or modules - folder_list = [p for p in folder_list - if isfile(pjoin(path, p,'__init__.py')) - or is_importable_file(p) ] + if path.endswith('.egg') and isfile(path): + folder_list = set(p.split('/', 1)[0] for p in folder_list if is_importable_file and p.endswith('/__init__.py')) + else: + # Now find actual path matches for packages or modules + folder_list = [p for p in folder_list + if isfile(pjoin(path, p,'__init__.py')) + or is_importable_file(p) ] return [basename(p).split('.')[0] for p in folder_list] ``` Can you help me debug this systematically and explain your reasoning?


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

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


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Set FSDP `transformer_layer_cls_to_wrap` to `model._no_split_modules` ? ### Feature request Currently, when training with FSDP, the Trainer expects to receive an `fsdp_config` argument specifying `fsdp_transformer_layer_cls_to_wrap`. https://github.com/huggingface/transformers/blob/66954ea25e342fd451c26ec1c295da0b8692086b/src/transformers/trainer.py#L1394-L1406 I am wondering if we can set this automatically, when the model has a `_no_split_modules` attribute, e.g. https://github.com/huggingface/transformers/blob/66954ea25e342fd451c26ec1c295da0b8692086b/src/transformers/models/opt/modeling_opt.py#L401 ### Motivation It would be a convenient feature to set this automatically. This argument is model-specific, but it might be nice to define training arguments independently of a specific model type. ### Your contribution Happy to help make a PR. Would be great if you can confirm whether this would be desirable or if I am misunderstanding something. 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: Epoch end checkpoint restarts previous epoch ## 🐛 Bug If restarting the training and reloading the model, the epoch that the checkpoint had just completed is restarted rather than beginning the next. ### Expected behavior When a checkpoint upon epoch end is saved, restarting it should resume its state and start the next epoch. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Comet PAPI Depreciated Use of the Comet API logger reports an unecessary depreciation warning relating to the use of comet_ml.papi, rather than the newer comet_ml.api. Example: `COMET WARNING: You have imported comet_ml.papi; this interface is deprecated. Please use comet_ml.api instead. For more information, see: https://www.comet.ml/docs/python-sdk/releases/#release-300` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 does not set define `CMAKE_SYSTEM_VERSION` when "os.api_level" specified Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: Instructions to run integrations tests fail on tox **Additional environment details (Operating System, Cloud provider, etc):** Ubuntu 14.04, Python 2.7.6 **Steps to reproduce the issue:** 1. Follow instructions at https://github.com/DataDog/integrations-core/blob/e3985fe43853f6ee3bb11e8d9d20a18ca12ae340/docs/dev/README.md 2. 3. **Describe the results you received:** ``` $ tox ERROR: No setup.py file found. The expected location is: /home/sday/src/DataDog/integrations-core/setup.py You can 1. Create one: https://packaging.python.org/tutorials/distributing-packages/#setup-py 2. Configure tox to avoid running sdist: http://tox.readthedocs.io/en/latest/example/general.html#avoiding-expensive-sdist ``` **Describe the results you expected:** Tests should run. **Additional information you deem important (e.g. issue happens only occasionally):** Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Looks like we don't expose the `Dataset` class as datastore.Dataset? There are some docs that use the following syntax: ``` python >>> from gcloud import datastore >>> dataset = datastore.get_dataset('dataset-id') ``` I'm not sure if this is accurate, but either way, if we're following the convention of datastore/**init**.py, this should be: ``` python >>> from gcloud import datastore >>> dataset = datastore.Dataset('dataset-id') ``` However I don't see the import in `__init__.py`, so I'm guessing that neither of these work...? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: flags --name and --prefix should pick up env's .condarc file Right now probably picking up the `.condarc` of the active env, which is wrong when `--name` or `--prefix` flags are used for CIUR operations. Environment missing from list when created with `conda create -p` ### Environment - conda version: `4.3.14` though I've seen this issue in previous and newer versions as well. All installed through `Anaconda` installers. Tested upto `4.3.21` - Python version: `2.7` `3.5` `3.6`. I mean these as the main conda python version - Operating System: `Win7`, `Win8`, `Win10`. ### Details - Describe what you were trying to get done. Create and manage a conda environment created in a custom path. - What commands did you run to trigger this issue? If you can provide a [Minimal, Complete, and Verifiable example](http://stackoverflow.com/help/mcve) this will help us understand the issue. `conda create -p c:\python27 python=2.7` - If there was a crash, please include the traceback here. When running: ``` conda create -p c:\python27 python=2.7 conda env list ``` This returns the following list ``` # conda environments: # root * C:\python36 ``` But when running ``` conda create -n py35 python=3.5 conda env list ``` This returns ``` # conda environments: # py35 C:\python36\envs\py35 root * C:\python36 ``` If I run `activate c:\python27` the correct environment activates with no issue. Inside of `\.conda\environments.txt` it has ``` c:\python27 C:\python36\envs\py35 ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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-XXX] airflow.models.DAG docstring mistake correction Make sure you have checked _all_ steps below. ### Jira - [ x ] My PR addresses the following [Airflow Jira](https://issues.apache.org/jira/browse/AIRFLOW/) issues and references them in the PR title. For example, "\[AIRFLOW-XXX\] My Airflow PR" - https://issues.apache.org/jira/browse/AIRFLOW-XXX - In case you are fixing a typo in the documentation you can prepend your commit with \[AIRFLOW-XXX\], code changes always need a Jira issue. ### Description - [ x ] Here are some details about my PR, including screenshots of any UI changes: ### Tests - [ x ] My PR adds the following unit tests __OR__ does not need testing for this extremely good reason: ### Commits - [ x ] My commits all reference Jira issues in their subject lines, and I have squashed multiple commits if they address the same issue. In addition, my commits follow the guidelines from "[How to write a good git commit message](http://chris.beams.io/posts/git-commit/)": 1. Subject is separated from body by a blank line 1. Subject is limited to 50 characters (not including Jira issue reference) 1. Subject does not end with a period 1. Subject uses the imperative mood ("add", not "adding") 1. Body wraps at 72 characters 1. Body explains "what" and "why", not "how" ### Documentation - [ x ] In case of new functionality, my PR adds documentation that describes how to use it. - When adding new operators/hooks/sensors, the autoclass documentation generation needs to be added. ### Code Quality - [ x ] Passes `git diff upstream/master -u -- "*.py" | flake8 --diff` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Dataset list remembers old datasets ### Apache Airflow version main (development) ### What happened Here's a simple pair of dags linked by a dataset: ```python3 from datetime import datetime from airflow import Dataset from airflow.operators.empty import EmptyOperator from airflow.decorators import dag dataset = Dataset("dataset") @dag(start_date=datetime(1970, 1, 1)) def upstream(): EmptyOperator(task_id="empty", outlets=[dataset]) upstream() @dag(start_date=datetime(1970, 1, 1), schedule=[dataset]) def downstream(): EmptyOperator(task_id="empty") downstream() ``` I let airflow parse this, then I made the following edit: ```python3 d̶a̶t̶a̶s̶e̶t̶ ̶=̶ ̶D̶a̶t̶a̶s̶e̶t̶(̶"̶d̶a̶t̶a̶s̶e̶t̶"̶)̶ dataset = Dataset("dataset1") ``` I let airflow parse it again, then I made another edit: ```python3 d̶a̶t̶a̶s̶e̶t̶ ̶=̶ ̶D̶a̶t̶a̶s̶e̶t̶(̶"̶d̶a̶t̶a̶s̶e̶t̶1̶"̶)̶ dataset = Dataset("dataset2") ``` Then I viewed the datasets page: <img width="675" alt="Screen Shot 2022-09-14 at 12 07 08 AM" src="https://user-images.githubusercontent.com/5834582/190073533-ebd4cb54-e080-4de5-9d95-9adf3c6c0a74.png"> Notice that instead of updating the name of the dataset, as I intended, I ended up creating three datasets. ### What you think should happen instead If there are no dags which reference a dataset, it should not be shown in the dataset list ### How to reproduce update a dataset URI ### Operating System docker/debian ### Versions of Apache Airflow Providers n/a ### Deployment Astronomer ### Deployment details `astro dev start` ### 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: Conan doesn't detect vswhere in the path If you install vswhere with choco, the tool is not in the paths Conan looks for. Conan should try to run it directly if `which` responds. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: 'Connection.lookup' can return 'missing' and 'deferred' results Do we need to support [those fields](https://github.com/GoogleCloudPlatform/google-cloud-datastore/blob/v1beta2-rev1-2.1.0/proto/datastore_v1.proto#L454-L457)? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: pass_manager_drawer requires filename to render <!-- ⚠ 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 `pass_manager_drawer` requires a filename in order to run. However this is not really a requirement of the code itself. Indeed, this works fine: ```python pass_manager_drawer(pm, '') ``` ### 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 conan-io/conan codebase. Here's the problem: [bug] Failures in Qbs The QbsProfile testing in https://github.com/conan-io/conan/blob/9ebc2e4282a35e4d29a7b697d71b85db45c31836/conans/test/unittests/tools/qbs/test_qbs_profile.py#L333 seems to have an incorrect indentation. So these tests are not running, when running, they throw: ``` self = <conans.test.unittests.tools.qbs.test_qbs_profile.QbsGenericTest testMethod=test_toolchain_content> @unittest.skipIf(six.PY2, "Order of qbs output is defined only for PY3") def test_toolchain_content(self): > self.assertEqual(qbs_toolchain.content, expected_content) test_qbs_profile.py:433: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <conan.tools.qbs.qbsprofile.QbsProfile object at 0x04D43A90> @property def content(self): context = { '_profile_values_from_setup': self._profile_values_from_setup, '_profile_values_from_env': self._profile_values_from_env, 'build_variant': self._build_variant, > 'architecture': self._architecture if not self._profile_values_from_setup["qbs.architecture"] else None, 'optimization': self._optimization, 'sysroot': self._sysroot, 'position_independent_code': self._position_independent_code, 'cxx_language_version': self._cxx_language_version, 'target_platform': self._target_platform, 'runtime_library': self._runtime_library, } E KeyError: 'qbs.architecture' ..\..\..\..\..\conan\tools\qbs\qbsprofile.py:297: KeyError ``` Also please remove the print() in https://github.com/conan-io/conan/blob/9ebc2e4282a35e4d29a7b697d71b85db45c31836/conans/test/unittests/tools/qbs/test_qbs_profile.py#L318 cc @Psy-Kai Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Doc improvement suggestions: list () and tolist () are very different. numpy 1.15.4 python 3.7.1 I refer to this doc but I spent a lot of time discovering the following. https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.tolist.html?highlight=tolist#numpy.ndarray.tolist ```python import numpy as np npA=np.uint32([1,2,3]) listA=list(npA) print(type(listA)) # <class 'list'> print(type(listA[0])) # <class 'numpy.uint32'> listA2 = npA.tolist() print(type(listA2)) # <class 'list'> print(type(listA2[0])) # <class 'int'> ``` I wanted to calculate numbers greater than 32bit integers, but I should have used tolist() only. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Passing host env var to run results in None value within container If you `run` a container and pass an env var from the host just like you'd do with `docker run -e ENV_VAR` the env var gets set to `None` inside the container that's started. Example commands: ``` export ENV_VAR='foo` docker-compose run -e ENV_VAR <servicename> ``` IMHO the expected behaviour is that it works the same as [`docker run`](https://docs.docker.com/engine/reference/run/#env-environment-variables), i.e. if you only pass the host's env var name it's value should be set inside the container. I couldn't find an issue or PR for this, but it's difficult to search for `env var` and `run`, so I might have missed it. This is somewhat related to #363 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 other service account types Not just JWT certificate. Add __getitem__ support to connections and buckets Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Qt compile_resources stumbles on empty <file> element **Describe the bug** If a Qt resources file (.qrc) contains an empty <file> element, meson exits with an exception. ``` ... File "/home/user/.local/lib/python3.10/site-packages/mesonbuild/modules/qt.py", line 241, in _parse_qrc_deps if os.path.isabs(resource_path): File "/usr/lib/python3.10/posixpath.py", line 62, in isabs s = os.fspath(s) TypeError: expected str, bytes or os.PathLike object, not NoneType ``` **To Reproduce** meson.build ``` project('bug', 'cpp') qt = import('qt6') source = qt.compile_resources(sources: 'resource.qrc') executable('app', sources: source) ``` resource.qrc ``` <!DOCTYPE RCC> <RCC version="1.0"> <qresource> <file></file> </qresource> </RCC> ``` **Expected behavior** An error message about the empty <file> element. This probably doesn't happen for static resources files like this, but for dynamic resource files going through `configure_file()` with some paths to generated files. And if any of those configuration_data fields is not set, the <file> element remains empty. In that case, a two page stacktrace doesn't really help. **system parameters** * Native build. * Ubuntu jammy * Python: 3.10.6 * Meson: 0.64.0 * Ninja: 1.10.1 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: bigquery.table.Table.upload_from_file() doesn't check the initial request response status If you try to add data to a table from a file without a schema: ``` python bigquery_client = bigquery.Client() dataset = bigquery_client.dataset(dataset_name) table = dataset.table(table_name) with open(source_file_name, 'rb') as source_file: job = table.upload_from_file( source_file, source_format='text/csv', rewind=True) job.begin() ``` This will fail with an opaque error: ``` Traceback (most recent call last): File "load_data_from_file.py", line 74, in <module> args.source_file_anme) File "load_data_from_file.py", line 40, in load_data_from_gcs source_file, source_format='text/csv', rewind=True) File "/Users/jonwayne/workspace/python-docs-samples/bigquery/cloud-client/env/lib/python3.4/site-packages/gcloud/bigquery/table.py", line 913, in upload_from_file return client.job_from_resource(json.loads(response_content)) File "/Users/jonwayne/workspace/python-docs-samples/bigquery/cloud-client/env/lib/python3.4/site-packages/gcloud/bigquery/client.py", line 119, in job_from_resource config = resource['configuration'] KeyError: 'configuration' ``` Inspection of the response from the initial upload request reveals the problem: ``` status: 400 body: { "error": { "errors": [ { "domain": "global", "reason": "invalid", "message": "Empty schema specified for the load job. Please specify a schema that describes the data being loaded.", ... ``` It seems we should check the response before constructing the job. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ENH: `median` should not warn about invalid values The problem is that `median` would produce `RuntimeWarning` with the `Invalid value encountered in median for 2 results` message, while `mean` is silent about it. Why? ### Reproducing code example: ```python import numpy as np a = np.array([[1, 4, 3, np.nan], [2, 5, np.nan, 4]]) m = mean(a, axis=1) ``` ### Numpy/Python version information: ``` 1.15.4 3.7.1 (default, Oct 22 2018, 10:41:28) [GCC 8.2.1 20180831] ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: docker-compose events There have been a few requests for supporting some form of "hooks" system within compose (#74, #1341). A feature which runs commands on the host would add a lot of complexity to compose and the compose configuration. Another option is to support these features by providing a way for external tools to run the command triggered by an event. [docker events](http://docs.docker.com/reference/api/docker_remote_api_v1.18/#monitor-dockers-events) provides an event stream of all docker events, but would still require filtering. `docker-compose events` could provide a similar interface by filtering the events returned by `/events` and return a stream of only the events related to the active compose project. The event stream could also include a new field `"service": <service_name>` in addition to the fields already provided by `/events` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Cloud Speech veneer should not throw an exception if there is more than one result. I believe this code in the veneer is incorrect because it throws if there is more than one result. https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/speech/google/cloud/speech/_gax.py#L263 As documented in the proto, the results contain a sequential list of transcription results corresponding to sequential portions of audio. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Description Field for Variables add text column to explain what the variable is used for same as https://github.com/apache/airflow/issues/10840 just for Variables. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Only log volume create message if a volume is created See https://github.com/docker/compose/pull/2883#issuecomment-190189471 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the kubeflow/pipelines codebase. Here's the problem: toleration support for ContainerOp I have toleration set up in my cluster for my gpu nodes. how can I add that to my ContainerOp? ``` tolerations: - key: "gpu" operator: "Equal" value: "run" effect: "NoSchedule" ``` If it is not implemented can you guide me on how to implement 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 mesonbuild/meson codebase. Here's the problem: i18n.gettext needs a set of defaults for GNOME projects In most projects this is going to be copy-pasted around: i18n.gettext(meson.project_name(), languages : langs, args: [ '--default-domain=' + meson.project_name(), '--from-code=UTF-8', '--add-comments', '--keyword=_', '--keyword=N_', '--keyword=C_:1c,2', '--keyword=NC_:1c,2', '--keyword=g_dcgettext:2', '--keyword=g_dngettext:2,3', '--keyword=g_dpgettext2:2c,3', '--flag=N_:1:pass-c-format', '--flag=C_:2:pass-c-format', '--flag=NC_:2:pass-c-format', '--flag=g_dngettext:2:pass-c-format', '--flag=g_strdup_printf:1:c-format', '--flag=g_string_printf:2:c-format', '--flag=g_string_append_printf:2:c-format', '--flag=g_error_new:3:c-format', '--flag=g_set_error:4:c-format', ]) The only thing that I can see needs to be configurable is the default-domain, the others could easily be simplified with a `type: 'gnome'` that would fill in the details and provide a single place to add new flags if/when we add new API that takes a vararg. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 CLI test Add test to catch behavior as in #1123 Can you help me debug this systematically and explain your reasoning?