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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [SCM] SCM feature + recipe in a repo subfolder leads to "same computer clone" bug Getting back to our Conan recipe, conan `1.7.1` solves the problem described #3322 thus (re)allowing a recipe living in subfolder of the repository to use the `scm` feature. Sadly, another bug, initially described in #3069 (under the name _same computer optimization problem_) is still present: when `conan create`ing the recipe, in this situation, the creation fails, complaining there are no files in the `build` folder (and indeed, there are none). It seems the analysis made in #3069 is still relevant: Basically, when calling `conan create`, an optimization described in the [tip box of this documentation section](https://docs.conan.io/en/latest/creating_packages/package_repo.html#capturing-the-remote-and-commit-from-git-scm-experimental) creates an `scm_folder.txt` file in the conan package. When this file is present, conan tries to clone the repo from the path in this file instead of the git url stored in the exported recipe. Sadly, this file contains the path to the folder containing the recipe, instead of the path to the root of the repository. So, when the recipe is at the root of the repository, the behaviour appears correct. But if the recipe is stored in a subfolder, then it seems nothing is cloned over to the build folder, failing the process. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Windows module fails on multiple resource files with same name I have a project with multiple subfolders that contain resource scripts named 'rsrc.rc', this worked with at least 0.44.0, but fails with current master: > meson.build:7:0: ERROR: Tried to create target "Windows resource for file 'rsrc.rc'", but a target of that name already exists. Here is a small testcase: [rsrcbug.zip](https://github.com/mesonbuild/meson/files/2007861/rsrcbug.zip) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Deprecate automatic schema conversion in `load_table_from_dataframe` After discussion around https://github.com/googleapis/google-cloud-python/issues/9024, I'm coming to realize that there are a lot of inconsistencies with the pandas DataFrame serialization when we have to autodetect the schema. I propose that we warn when we are given a DataFrame but can't determine the correct schema. I realize this will be a step backwards in terms of usability. I think the following feature requests are needed to be prioritized if we proceed with this deprecation: - [x] https://github.com/googleapis/google-cloud-python/issues/8140 Allow partial schemas, so that someone can just override certain `object` dtype columns, for example. - [x] https://github.com/googleapis/google-cloud-python/issues/8142 Get table schema if not supplied. This covers the case when appending rows to an existing table. - [x] https://github.com/googleapis/google-cloud-python/issues/9044 Generate a (partial) schema for known dtypes, and merge with the provided schema. - [x] https://github.com/googleapis/google-cloud-python/issues/5572#issuecomment-524012299 Add index(es) to serialized file if specified in `job_config.schema`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Improvements to the IPython.display.Image object It should: - be more friendly to the first argument being a local or remote path to any valid image format (right now it seems to work with png but not jpeg, on simple testing). - support width/height keywords and emit the corresponding html. - we should consider whether the return value should wrap the result in a jquery resizeable container, to match how the other image objects that are returned from plots behave. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Unify pulse Commands and Instructions <!-- ⚠ 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? Pulse `Command`s were initially created to allow the pulse to be only defined once as a `SamplePulse` and then have its usage tracked based on the pulse instance. Every `Instruction` instance was then defined as containing a `Command` and its `Channel` operands that the command is applied to. This change may result in some breaking changes, but I have a couple of ideas to make this mostly backward compatible. Requirements for closure of this issue include: - [x] [Approved RFC](https://github.com/Qiskit/rfcs/pull/12) - [x] Implementation ### Background and Ideas I believe this has resulted in a confusing API with many statements that look like ```python PulseCommand(...)(channel1, channel2, ...) ``` which yields an instruction. Or called more explicitly: ```python PulseInstruction(PulseCommand(...), channel1, channel2, ...) ``` If we were to unify commands with instructions a generic instruction would accept a list of operands that could be either a numeric parameter like a complex or a channel to operate on, eg.: ```python PulseInstruction(operand1, operand2, ...) ``` For example, a frame change would go from, ```python FrameChange(0.0)(DriveChannel(0)) ``` or explicitly, ```python FrameChangeInstruction(FrameChange(0.0), DriveChannel(0)) ``` to ```python ShiftPhase(0.0, DriveChannel(0)) ``` where `ShiftPhase` is of type `Instruction`. The current behavior of pulses could be fixed by redefining `Pulse` as a `Type` and defining a `Play` instruction: ```python random_pulse = SamplePulse(np.random.random(10)) Play(random_pulse, DriveChannel(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 PrefectHQ/prefect codebase. Here's the problem: Move failure of providing parameters into the parameter Task itself Currently, if a Flow is constructed with parameters, and those parameter are not provided at run time, the `FlowRunner` itself raises a `FAIL` signal. Proposal: Have the Parameter task itself raise the FAIL signal; this would allow for a clearer error message (_which_ parameter was not provided) and would allow the `BokehRunner` tool to consistently handle this situation. Move failure of providing parameters into the parameter Task itself Currently, if a Flow is constructed with parameters, and those parameter are not provided at run time, the `FlowRunner` itself raises a `FAIL` signal. Proposal: Have the Parameter task itself raise the FAIL signal; this would allow for a clearer error message (_which_ parameter was not provided) and would allow the `BokehRunner` tool to consistently handle this situation. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Tracking namespace change Here's a place we can track updates to the future changing of the `gcloud-python` namespace. This change could break things in the future. --- Sub-projects already partially created: - [`google-cloud`](https://pypi.python.org/pypi/google-cloud) - [`google-cloud-core`](https://pypi/.python.org/pypi/google-cloud-core) - [`google-cloud-datastore`](https://pypi.python.org/pypi/google-cloud-datastore) - [`google-cloud-storage`](https://pypi.python.org/pypi/google-cloud-storage) - [`google-cloud-pubsub`](https://pypi.python.org/pypi/google-cloud-pubsub) - [`google-cloud-bigquery`](https://pypi.python.org/pypi/google-cloud-bigquery) - [`google-cloud-bigtable`](https://pypi.python.org/pypi/google-cloud-bigtable) - [`google-cloud-happybase`](https://pypi.python.org/pypi/google-cloud-happybase) - [`google-cloud-logging`](https://pypi.python.org/pypi/google-cloud-logging) - [`google-cloud-vision`](https://pypi.python.org/pypi/google-cloud-vision) - [`google-cloud-speech`](https://pypi.python.org/pypi/google-cloud-speech) - [`google-cloud-language`](https://pypi.python.org/pypi/google-cloud-language) (and the alias [`google-cloud-natural-language`](https://pypi.python.org/pypi/google-cloud-natural-language)) - [`google-cloud-resource-manager`](https://pypi.python.org/pypi/google-cloud-resource-manager) - [`google-cloud-translate`](https://pypi.python.org/pypi/google-cloud-translate) - [`google-cloud-dns`](https://pypi.python.org/pypi/google-cloud-dns) - [`google-cloud-monitoring`](https://pypi.python.org/pypi/google-cloud-monitoring) - [`google-cloud-error-reporting`](https://pypi.python.org/pypi/google-cloud-error-reporting) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: print in multiprocess does not work until a newline is sent, even after a flush In the notebook: `print('blah',end='')` (print without a newline) in a process created with the `multiprocess` module does not appear in the output cell even after `sys.stdout.flush()` is called. If a new line is printed it works fine and it appears immediately. This makes writing progress bars for parallel code quite inconvenient. It works fine in the terminal. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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] pkg_config generator has wrong casing in the requires section coming from https://github.com/conan-io/conan-center-index/pull/471#issuecomment-565057342 Seems that there is a missing conditional to make the default name `.lower()` here: https://github.com/conan-io/conan/blob/5336a31744bb114f419ad91310bc3e50dc2eb1cd/conans/client/generators/pkg_config.py#L90 As it was done previously for the file name here: https://github.com/conan-io/conan/blob/5336a31744bb114f419ad91310bc3e50dc2eb1cd/conans/client/generators/pkg_config.py#L43 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Bug: groups and tags don't set correctly after changing to _private context variables Missed these attributes when changing context to use a private attribute -- need to fix + add tests. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: CondaError: Cannot link a source that does not exist. C:\Users\...\Anaconda3\Scripts\conda.exe I get this error when trying to conda install tqdm. Pip install works fine. However, when trying conda install spacy, I still get the same error because the conda installation for spacy attempts to conda install tqdm. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Add ability to inject a partitions_def in dynamic_partitioned_config decorator ### What's the use case? I want to declare a DynamicPartitionsDefinition object, using name param, and inject it to my software defined assets and jobs. Then, I want to build a PartitionedConfig using dynamic_partitioned_config but this will build a new DynamicPartitionsDefinition object, using partition_fn param. So I can't use my own. ### Ideas of implementation ```python def dynamic_partitioned_config( partition_fn: Callable[[Optional[datetime]], Sequence[str]], partitions_def: Optional[DynamicPartitionsDefinition[Any]] = None, tags_for_partition_fn: Optional[Callable[[str], Mapping[str, str]]] = None, ) -> Callable[[Callable[[str], Mapping[str, Any]]], PartitionedConfig]: check.callable_param(partition_fn, "partition_fn") def inner(fn: Callable[[str], Mapping[str, Any]]) -> PartitionedConfig: def _run_config_wrapper(partition: Partition) -> Mapping[str, Any]: return fn(partition.name) def _tag_wrapper(partition: Partition) -> Mapping[str, str]: return tags_for_partition_fn(partition.name) if tags_for_partition_fn else {} return PartitionedConfig( partitions_def=partitions_def if partitions_def is not None else DynamicPartitionsDefinition(partition_fn), run_config_for_partition_fn=_run_config_wrapper, decorated_fn=fn, tags_for_partition_fn=_tag_wrapper, ) return inner ``` ### Additional information _No response_ ### Message from the maintainers Impacted by this issue? Give it a 👍! We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Seems like `optimization=0` does nothing **Describe the bug** It seems that `optimization=0` does not have any effect. i.e. `-O0` does not appear in the compiling command when using `optimization=0`. **To Reproduce** With the following code: ```C // meson.build project('hello', 'c') executable('hello', 'hello.c') // hello.c #include <stdio.h> int main(void) { puts("Hello world"); return 0; } ``` And using the following commands: ```C meson setup buildir -Doptimization=0 cd buildir meson compile -v ``` I obtain: ``` ninja: Entering directory `.' [1/2] gcc -Ihello.p -I. -I.. -fdiagnostics-color=always -pipe -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -g -MD -MQ hello.p/hello.c.o -MF hello.p/hello.c.o.d -o hello.p/hello.c.o -c ../hello.c [2/2] gcc -o hello hello.p/hello.c.o -Wl,--as-needed -Wl,--no-undefined ``` **Expected behavior** I expected to see `-O0` to be passed as an option to GCC. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)?: **native** * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.): **NixOS** * what Python version are you using e.g. 3.8.0 * what `meson --version`: **0.57.1** * what `ninja --version` if it's a Ninja build: **1.10.2** Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: imports/copy question Suppose I have ``` x86 vc15 bin opencv_core310.dll ... ``` directory structure in my package. Is it possible to import `opencv_core310.dll` and friends to project's `bin` folder forgetting all the directory structure? I tried ```python def imports(self): self.copy("*.dll", "", "bin") ``` but it creates `x86/vc15/bin/opencv_core310.dll` while I would like to get `bin/opencv_core310.dll` Probably import/copy should have `keep_path` parameter like package/copy does? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Conan should recognize elementaryOS as a distro that uses apt elementaryOS is a Linux distro based on Ubuntu. So, it uses `apt`. However, Conan, via the `conans` module, disagrees and says that it does not use `apt` when calling `tools.os_info.with_apt`. ``` Python 3.7.4 (default, Oct 9 2019, 00:16:19) [GCC 7.4.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> from conans import tools >>> tools.os_info.with_apt False ``` Letting Conan know that elementaryOS uses `apt` is important since recipes that have to know whether or not the distro they are running in uses `apt` may have to resort to doing something less than ideal when ran under elementaryOS. For example, using `opengl/system` in a project under elementaryOS will fail (just like [this](https://github.com/bincrafters/community/issues/1216#issuecomment-653540067) in bincrafters/community#1216) because the recipe, as [it is currently is](https://github.com/conan-io/conan-center-index/blob/97d32ad939ce0acebe681201ef95896736ce1946/recipes/opengl/all/conanfile.py#L60) (and supported by conan-io/conan-center-index#2114), fails hard when being used in an unrecognized distro. As such, Conan should be updated to recognize elementaryOS as a distro that uses `apt`. Based on my quick skim of the `conans` module code, it seems that a change in [`client/tools/oss.py:181`](https://github.com/conan-io/conan/blob/d40f2a9f644c390bfaf202a573d7fb999a30949f/conans/client/tools/oss.py#L181) to: ``` # ... apt_distros = ("debian", "ubuntu", "knoppix", "linuxmint", "raspbian", "neon", "pop", "elementary") # ... ```` should do the trick. Note: `import distro; distro.id()` returns `'elementary'`. - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: `toolz.functoolz` is not vendored ### What happened? The following import from the vendored toolz is wrong https://github.com/conda/conda/blob/b9792e1bbb33346b16c89b6e1a39ae678156f331/conda/models/version.py#L8-L11 The `excepts` wrapper is just reimplemented in `conda/_vendor/toolz/__init__.py`. ### Tasks - [x] #12016 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Ernie-M ### Model description Ernie-M looks pretty good in multilingual benchmarks, beating XLM-Roberta. Paddlepaddle recently added ernie-m to the huggingface repo, we can use it with paddlenlp.transformers. Would be nice to have the model supported in huggingface transformer as well. ### Open source status - [X] The model implementation is available - [X] The model weights are available ### Provide useful links for the implementation https://huggingface.co/PaddlePaddle/ernie-m-base https://huggingface.co/PaddlePaddle/ernie-m-large Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: crash of ipython when alias is used with %s and echo This bug is present in alias of magic commands In [1]: alias parts echo first %s second %s In [2]: parts A After executing the first line of command when we give command as parts A instead of printing "Incorrect number of arguments: 2 expected." ipython automatically crashes. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: --collaborative flag is not correctly interpreted when jupyter-collaboration package is installed The `--collaborative` flag aims to indicate if JupyterLab should run or not with RTC. When you use use flag without `jupyter-collaboration` package, the server stops with "To enable real-time collaboration, you must install the extension jupyter_collaboration You can install it using pip for example: python -m pip install jupyter_collaboration" which is the expected behavior. When `jupyter-collaboration` is installed, the RTC mode is enabled even if you start without the `--collaborative` flag. RTC should be enabled only if you give `--collaborative` (see also https://github.com/jupyterlab/jupyterlab/issues/14715#issuecomment-1615172289) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [UWP] Could not determine vs dep dependency prefix string **Describe the bug** thorvg fails to configure with: `ERROR: Could not determine vs dep dependency prefix string. output: b"Microsoft (R) C/C++ Optimizing Compiler Version 19.34.31937 for x64\r\nCopyright (C) Microsoft Corporation. All rights reserved.\r\n\r\ncl : Command line error D8048 : cannot compile C file 'incdetect.c' with the /ZW option\r\n" b''` cross file: [meson-x64-uwp-dbg.log](https://github.com/mesonbuild/meson/files/10368128/meson-x64-uwp-dbg.log) (due to #11143 all flags are passed via the compiler) configure log: [config-x64-uwp-dbg-out.log](https://github.com/mesonbuild/meson/files/10368132/config-x64-uwp-dbg-out.log) meson log: [config-x64-uwp-dbg-meson-log.txt.log](https://github.com/mesonbuild/meson/files/10368133/config-x64-uwp-dbg-meson-log.txt.log) pixman for example works fine with the cross file so what is going on here? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: [Primitive-ize API] SchemaField Consistent with the recent work to allow the API to accept some primitives as well as specific objects, the schema argument to `LoadJobConfig`* could accept a list of dicts. Currently it requires constructing a bunch of `SchemaField` objects: ```python schema = [ # could be just column_dicts bigquery.schema.SchemaField.from_api_repr(column_dict) for column_dict in column_dicts ] with open(empty_path, "rb") as source_file: job_config = bigquery.job.LoadJobConfig( schema=schema, write_disposition="WRITE_TRUNCATE" ) job = gbq_client.load_table_from_file( source_file, table_ref, location="US", job_config=job_config, ) ``` We're trying to move to using the BQ Python API rather than subprocessing out to a shell with `bq`; it's got much better but it's still a bit Java-esque, and these are examples of times it's a tougher sell than constructing a string a sending it to bash. As ever, lmk if the API isn't designed for these cases and you'd encourage users to use bash. *this could also be a dict, though less of an imperative. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: IPython beta: interactive matplotlib magic breaks terminal (Windows) When activating interactive figures with `%matplotlib`, and after plotting the first figure, the terminal does not capture any keyboard input anymore ``` In [6]: %matplotlib Using matplotlib backend: Qt4Agg In [7]: plt.plot([1,2,3]) Out[7]: [<matplotlib.lines.Line2D at 0xad116a0>] ``` After that, I cannot type or paste anything anymore, also not when the figure is closed. Something with the event loop? I am working on Windows 7, and should be on master for both ipython and prompt toolkit. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Up arrow key history search gets stuck in QTConsole With the ipython installed with with commit 50a583890fd0640492fcd76d6ecc97b5c3f23ae0, going through history with up arrow key in qtconsole works without any problem. But in current commit 48b63c19a53f9e26dc4f64150641c730cb6a2305, in qtconsole, it gets "stuck" after several items - pressing up arrow key does not do anything. It seems to be happening when the currently showing history is longer than the qtconsole width. Since there are more than 120 commits in between, I haven't tried to identify what was the commit which caused this. Also, in terminal this does not happen. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Docs: More Detail to the Executors Page. Hello! I've found an issue here:`The DaskExecutor is a completely asynchronous engine that can run functions in a distributed Dask cluster. This is the recommended engine for production.` Page reference: https://docs.prefect.io/core/concepts/engine.html#executors What's the difference between the `LocalDaskExecutor` and the `DaskExecutor`? Which should I use if I want to run a local Dask cluster on the machine I deploy with Docker/Kubernetes? We could expand this section a bit more and add an example `RemoteEnvironment` with a an executor. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ccache cannot work on dist builds Due to how the dist build is implemented in Meson, it will always result in ccache being unable to work. The reason for this is the forced use of `mkdtemp` for directories within the `check_dist` function (in `dist.py`). The source is unpacked into `$tmpdir/tmp$string` which is random and thus unable to produce cache hits for subsequent builds. If I am trying to do e.g., a CI dist build, this is not ideal since it makes the build very long. There are two possible solutions I've come up with which could solve the issue: * Add a `DISTBUILDDIR` (or similar) environment variable which is used instead of `mkdtemp` during a dist build; this directory would take the place of the `mkdtemp` directories and would not be deleted when the build stopped * Add a `TMPBUILDSTRING` (or similar) environment variable which is used in place of the random part of the tempdir string (resulting in e.g., /tmp/tmp$string); this directory can still be created and deleted normally, or even deleted if it already exists since we can assume this should only be used for meson dist builds Other solutions would be great too, as long as ccache becomes usable. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: SIMD module doesn't respect include_directories This snippet that I'm trying to use in PulseAudio is failing because `topinc` isn't actually added to the list of includes. ``` simd = import('unstable-simd') libpulsecore_simd = simd.check('libpulsecore_simd', sse : ['remap_sse.c', 'sconv_sse.c', 'svolume_sse.c'], neon : ['remap_neon.c', 'sconv_neon.c', 'svolume_neon.c'], include_directories : topinc, compiler : cc) cdata.merge_from(libpulsecore_simd[1]) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: Fix large constants in activations This fixes an issue where using the elu, selu, or tanh activation results in a constant as big as the input being created. This PR also switches the use of np.where to lax.select for activation functions to avoid accidental broadcasting of scalars in the future. I added a test that verifies that making the jaxpr does not produce constants that scale in size with the input. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: override_options cpp_std does not work for vs backend **Describe the bug** override_options cpp_std is broken with the vs backend while it is ok with the ninja backend. It fails to override **To Reproduce** main.cpp: ```c++ #include <any> int main(int, char *[]) { std::any ret = 0; return std::any_cast<int>(ret); } ``` meson.build : ``` project('vsbackend-override-options', 'cpp', version : '1.0', default_options : ['cpp_std=c++11',]) executable('override-options', 'main.cpp', override_options: 'cpp_std=c++17') ``` ```shell meson --vsenv --backend=vs2017 builddir meson compile -C builddir ``` **Expected behavior** Compiles with vs2017 (and others) backend. **system parameters** * plain native build * Windows 10 * Python 3.10.3 * Meson 0.62.1 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: jax missing scipy.special.expit Would be possible to add gradients for `expit` and `logit`? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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] components versions and generators When using a recipe declaring components, the global version of the recipe does not seem to be propagated to the components, which can be seen when using `pkg_config` generator This is a problem, because some libraries check their requirements' version via pkg-config, eg https://gitlab.gnome.org/GNOME/atk/-/blob/master/meson.build#L98, so currently they fail to use conan generated pkg-config files ### Environment Details (include every applicable attribute) * Conan version: 1.28.0 ### Steps to reproduce (Include if Applicable) checkout https://github.com/conan-io/conan-center-index/tree/dedc63dc32ca949f0b6448b72fce3efeb1212a3f/recipes/glib/all `conan create . glib/2.65.0@` ### Logs (Executed commands with output) (Include/Attach if Applicable) generated `glib.pc` (the package-wide file) has `Version: 2.65.0` generated `gio-2.0.pc` (component file) has `Version: None` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: default_package_id_mode is not in the default conan.conf The config should be there when a fresh `conan.conf` is created. I would like it to be non-commented and using the default value `semver_direct_mode`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Pass output from all val dataloaders to `validation_end` **Is your feature request related to a problem? Please describe.** I'm working on a retrieval problem. To compute validation scores, I'd like to compute feature vectors for a query set and a catalog set, then measure information retrieval metrics (precision, recall, etc) of the query set against the catalog set. To do this, I'd like to return the two datasets from `val_dataloader` (already possible), then use `validation_step` to accumulate all the feature vectors for each dataset (already possible). Once I have all the feature vectors, I need some way to bring the vectors from the two datasets together so that I can compute retrieval metrics. Right now, `validation_end` processes the outputs of multiple validation dataloaders separately. **Describe the solution you'd like** Change the behavior of `validation_end` in cases where there are multiple validation dataloaders. I propose that it only be called once, but that it be passed a list of outputs dicts, one from each dataloader. Using it would look something like this: ```python def validation_end(self, outputs): query_output, catalog_output = outputs query_vectors = torch.cat([o['vectors'] for o in query_output]) query_labels = torch.cat([o['labels'] for o in query_output]) catalog_vectors = torch.cat([o['vectors'] for o in catalog_output]) catalog_labels = torch.cat([o['labels'] for o in catalog_output]) return retrieval_metrics( query_vectors, query_labels, catalog_vectors, catalog_labels ) ``` **Describe alternatives you've considered** * Breaking outside of lightning entirely to do validation * Concatenating query and catalog datasets, and somehow adding a flag to indicate which dataset a given example came from Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 support for variable width operations to Target ### What should we add? Right now the target class doesn't have proper support for modelling instructions that have variable width. If you have a gate that can use more than a single number of qubits and the backend supports all variants of that instruction (or at least more than one). We don't have a way to express that. The target currently requires a 1:1 mapping of operation name to a `Operation` instance and that instance is used for type checking and parameter checking at different points in the transpiler. However this requirement won't work for variable width instructions because a single instance of the instructions can only have a single number of qubits. To be able to accurately model these instructions being supported on a target backend we need to come up with an interface to model this in the target, which might mean introducing a `TargetV2`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: composite gates do not have definition when qasm()'d # Information - **Qiskit Terra version**: master - **Python version**: 3.7 ### What is the current behavior? ```python from qiskit import QuantumCircuit, QuantumRegister rinv_q = QuantumRegister(1, name='q') rinv_gate = QuantumCircuit(rinv_q, name='rinv') rinv_gate.sdg(rinv_q) rinv_gate.h(rinv_q) rinv_gate.sdg(rinv_q) rinv_gate.h(rinv_q) rinv = rinv_gate.to_instruction() qr = QuantumRegister(1, name='qr') circuit = QuantumCircuit(qr, name='circuit') circuit.append(rinv, [qr[0]]) print(circuit.qasm()) ``` ``` OPENQASM 2.0; include "qelib1.inc"; qreg qr[1]; rinv qr[0]; ``` ### What is the expected behavior? ``` OPENQASM 2.0; include "qelib1.inc"; gate rinv q {sdg q; h q; sdg q; h q; } # <--- the definition of rinv qreg qr[1]; rinv qr[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 huggingface/transformers codebase. Here's the problem: Possible pickle issues https://github.com/huggingface/transformers/blob/af2aac51fc1c59237ff7228908ace2cd8fc0d9a6/src/transformers/optimization.py#L49 When attempting to pickle this function, there is a potential for an error to occur due to the lambda function that cannot be pickled. I suggest the following solution for this problem. ``` def get_constant_lambda(_): return 1 def get_constant_schedule(optimizer: Optimizer, last_epoch: int = -1): """ Create a schedule with a constant learning rate, using the learning rate set in optimizer. Args: optimizer ([`~torch.optim.Optimizer`]): The optimizer for which to schedule the learning rate. last_epoch (`int`, *optional*, defaults to -1): The index of the last epoch when resuming training. Return: `torch.optim.lr_scheduler.LambdaLR` with the appropriate schedule. """ return LambdaLR(optimizer, get_constant_lambda, last_epoch=last_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 PrefectHQ/prefect codebase. Here's the problem: Operator task behavior is unintuitive/misleading The docstrings for the various logical `Operator` tasks suggest that they just call the corresponding Python operator. So I would expect `Or(x, y)` to return `x or y` instead of `bool(x or y)`: https://github.com/PrefectHQ/prefect/blob/07cb6c20342c4053a3eaaaf885670ae5dfd6e74d/src/prefect/tasks/core/operators.py#L233-L254. If there's a specific reason why these have to return boolean results, then at least the docstrings should probably be updated to reflect 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 conan-io/conan codebase. Here's the problem: 1.3 regression: AutoToolsBuildEnvironment now aborts on self-defined architectures With 1.3 our AutoTools packages started to fail on architectures that we define ourselves in settings.yml, these includes: `aarch64`, `armv7hf-sysv` etc. The error message we get is: `conans.errors.ConanException: Unknown 'armv7hf-sysv' machine. Conan doesn't know how to translate it to the GNU triplet, please report at https://github.com/conan-io/conan/issues` This is a breaking change and while the warning is probably good it breaks our current packages without changes to conan. Ideally this warning should be not an error but a warning to not break current packages and maybe make it configurable in the future. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: TST: Add the first test using hypothesis This pull request adds the first test that uses hypothesis and hence brings in hypothesis as an additional test dependency. @mattip Could you take a look at this please? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Q-sphere phase colors does not match IQX phase colors   ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior? As pointed out by @HwajungKang, it is a bit tricky to figure out that the color wheels are more or less rotated by pi. It is even harder to decode due to the implicit phase re-normalization in the Qiskit Q-sphere that is not mentioned anywhere: https://github.com/Qiskit/qiskit-terra/blob/dc3a2a667b8dc22512ca409ecae347d8dbdd944c/qiskit/visualization/state_visualization.py#L761 Qiskit:  IQX:  ### 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 googleapis/google-cloud-python codebase. Here's the problem: Provide a method to convert ndb Key's urlsafe format to/from datastore.Key In GAE standard, ndb has the concept of the urlsafe string version of a Key. e.g. `url_string = sandy_key.urlsafe()` produces a result like `agVoZWxsb3IPCxIHQWNjb3VudBiZiwIM`. However, I cannot find a way to use this format with the google.cloud.datastore library for code running outside GAE standard. Please add a method to the Key class to create urlsafe strings and a method to generate Keys from urlsafe strings. Alternatively, provide some documentation on how to decode/encode them with the existing library. NB, the [console support page](https://support.google.com/cloud/answer/6365503?hl=en) says "The encoding method is available in any Cloud Datastore client library." Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Renaming repo qiskit-core <!--- Provide a general summary of the issue in the Title above --> Not saying to do now l. Just want to make an issue to remind us and inform the community. ## Expected Behavior <!--- If you're describing a bug, tell us what should happen --> <!--- If you're suggesting a change/improvement, tell us how it should work --> ## Current Behavior <!--- If describing a bug, tell us what happens instead of the expected behavior --> <!--- If suggesting a change/improvement, explain the difference from current behavior --> ## Possible Solution <!--- Not obligatory, but suggest a fix/reason for the bug, --> <!--- or ideas how to implement the addition or change --> ## Steps to Reproduce (for bugs) <!--- Provide a link to a live example, or an unambiguous set of steps to --> <!--- reproduce this bug. Include code to reproduce, if relevant --> 1. 2. 3. 4. ## Context <!--- How has this issue affected you? What are you trying to accomplish? --> <!--- Providing context helps us come up with a solution that is most useful in the real world --> ## Your Environment <!--- Include as many relevant details about the environment you experienced the bug in --> * Version used: * Environment name and version (e.g. Python 3.6.1): * Operating System and 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 googleapis/google-cloud-python codebase. Here's the problem: bigquery.ArrayQueryParameter should be able to accept structs as elements of the array I [commented](https://github.com/GoogleCloudPlatform/google-cloud-python/pull/2901#discussion_r94066868) that setting the types on array query parameters needs to be recursive since the array could contain structs. Note that [arrays cannot contain arrays](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#array-type) (the workaround is to contain a struct which can then contain an array). It's not clear how one would do this with the current `ArrayQueryParameter` constructor. ``` bigquery.ArrayQueryParameter( name='myarray', type='STRUCT', # Note: this isn't enough information to construct the type object. values=? # What would go here? Dictionaries? That doesn't match other uses of StructQueryParameter. ) ``` Maybe we need to change how array query parameters are constructed? Maybe it should look more like the StructQueryParameter constructor? ``` bigquery.ArrayQueryParameter(name, *sub_params) ``` It'd be a pain for scalar values and the names would have to be ignored on the `sub_params` if provided, but it's more flexible. *An aside* *I'd actually love if we could get rid of all the `XQueryParameter` classes and use lists, dicts, and ints, floats, etc. But I see that it might be ambiguous for [some types](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types) especially `DATETIME` (no time zone) vs `TIMESTAMP` (stored as UTC 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 conda/conda codebase. Here's the problem: Solver plugin hook incompatible with user_agent feature ### Checklist - [X] I added a descriptive title - [X] I searched open reports and couldn't find a duplicate ### What happened? When trying to use the conda solver plugin hook, the `user_agent` method is called on an instance of the backend, even though the API requires it to be called on the backend class itself, since it's a staticmethod. Exception: ``` Traceback (most recent call last): File "/opt/conda-src/conda/base/context.py", line 849, in user_agent user_agent_str += f" {solver_backend().user_agent()}" TypeError: __init__() missing 2 required positional arguments: 'prefix' and 'channels' ``` ### Conda Info _No response_ ### Conda Config _No response_ ### Conda list _No response_ ### Additional Context _No response_ Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Create 0.6 release notes <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected behavior? As this is a "major" release, we should prepare some release notes for 0.6, ideally starting working in them sooner rather than later for the benefit of early adopters and similar cases. 0.5 was the first release where we included the release notes - the plan is that they include: * a summary of the noteworthy changes (keeping in mind that the full changelog will also be automatically available for finer details) * a `Upgrading to 0.6` section, with instructions on how to make us of the new features and cope with the breaking changes (basically a "helper for a smooth transition") #### References https://qiskit.org/documentation/releases.html#qiskit-sdk-0-5-0 https://github.com/Qiskit/qiskit-terra/blob/0.5.7/doc/releases.rst Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: dagster-slack apidoc still refers to solids and pipelines https://docs.dagster.io/_apidocs/libraries/dagster-slack Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: namedtuple support in arguments to transformed functions It would be great if `xla.abstractify` would also accept namedtuples. Loop state's can consist of quite a lot of values and organizing them in a namedtuple rather than a tuple would make things nicer. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: enable getting upstream asset PartitionsDefinition from InputContext Potential wrinkle: what if the input is a fan-in that's fed by multiple upstream outputs? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Markdown with Mathjax fails during HTML export This Markdown block is failing for us. (extra `<em>` inserted due to `_`) ``` Water that is stored in $t$, $s_t$, must equal the storage content of the previous stage, $s_{t-1}$, plus a stochastic inflow, $I_t$, minus what is being released in $t$, $r_t$. With $s_0$ defined as the initial storage content in $t=1$, we have ``` Is this an issue with #6028 or is the inline Mathjax wrong? I checked the Regex and they are OK. Maybe the problem is at another place? Any pointers? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Scale attribute ignored when set to 0 ## Description of the issue I want some containers scaled down completely by default and only scaled up when needed. I can't set a container to scale 0 via the `docker-compose.yml` file, but I _can_ do this by passing `--scale busybox=0` to the up command. ## Context information (for bug reports) **Output of `docker-compose version`** ``` docker-compose version 1.24.0-rc1, build 0f3d4dda docker-py version: 3.7.0 CPython version: 3.6.6 OpenSSL version: OpenSSL 1.1.0h 27 Mar 2018 ``` **Output of `docker version`** ``` Client: Docker Engine - Community Version: 18.09.2 API version: 1.39 Go version: go1.10.8 Git commit: 6247962 Built: Sun Feb 10 04:12:39 2019 OS/Arch: darwin/amd64 Experimental: false Server: Docker Engine - Community Engine: Version: 18.09.2 API version: 1.39 (minimum version 1.12) Go version: go1.10.6 Git commit: 6247962 Built: Sun Feb 10 04:13:06 2019 OS/Arch: linux/amd64 Experimental: true ``` **Output of `docker-compose config`** (Make sure to add the relevant `-f` and other flags) ``` services: busybox: command: sleep 10000 image: busybox scale: 0 version: '2.4' ``` ## Steps to reproduce the issue 1. Create a docker-compose.yml with the following contents ``` version: "2.4" services: busybox: image: busybox cmd: sleep 10000 scale: 0 ``` 2. Run `docker-compose up -d` ### Observed result Docker compose creates and starts a single container. ### Expected result Docker compose should output nothing. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Contents Manager does not get passed config ? I can't seem to have my custom contents manager receive a config. In sessionmanager we seem to have `contents_manager = Instance('IPython.html.services.contents.manager.ContentsManager', args=())` but nowhere is it passed parent or config. Is that normal ? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Policy Type Missing Hi Team, In google-bigquerydatapolicy we have only 3 data policy types defined in [1]. But in google documentation[2] there are 7 types can we add it to the SDK [1] https://cloud.google.com/python/docs/reference/bigquerydatapolicy/latest/google.cloud.bigquery.datapolicies_v1.types.DataMaskingPolicy.PredefinedExpression [2] https://cloud.google.com/bigquery/docs/column-data-masking-intro#masking_options Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Firestore: Using offset greater than 1000 on a query doesn't work #### Environment details macOS Mojave 10.14.1 Python 3.6 google-cloud-firestore==0.30.0 #### Steps to reproduce 1. Create a query to get a large collection (over 1000 documents) 2. Add an offset greater than 1000 to the query 3. Get the query and iterate over the documents 4. You should get an exception about having no documents #### Code example ```python from google.cloud import firestore client = firestore.Client() documents = client.collection('Collection').order_by('field').offset(1001).get() for document in documents: pass ``` #### Stack trace ``` ValueError: Unexpected server response. All responses other than the first must contain a document. The response at index 1 was read_time { seconds: 1544736718 nanos: 109409000 } skipped_results: 1 . ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: BUG: (Unintended?) Interaction between -n and -i arguments to %run The documentation states that `-i` would run the script in the present notebook's namespace while `-n` would prevent the `__name__` in the script from being set to `__main__`, thereby preventing execution of code hidden behind the `if __name__ == '__main__':` check. However, [the code](https://github.com/ipython/ipython/blob/master/IPython/core/magics/execution.py#L665) only takes the `-n` into account only if `-i` is NOT passed to the `%run` (i.e. in the `else` branch). Shouldn't it be handled before checking for `-i`? Or is it necessary to change the `__name__` of the program set to `__main__` to run it in the namespace of the notebook? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: tarball install windows @msarahan @mingwandroid What _should_ the `file://` url format be on Windows? ``` ________________________ IntegrationTests.test_python3 ________________________ Traceback (most recent call last): File "C:\projects\conda\tests\test_create.py", line 146, in test_python3 run_command(Commands.INSTALL, prefix, flask_tar_file) File "C:\projects\conda\tests\test_create.py", line 104, in run_command args.func(args, p) File "C:\projects\conda\conda\cli\main_install.py", line 62, in execute install(args, parser, 'install') File "C:\projects\conda\conda\cli\install.py", line 195, in install explicit(args.packages, prefix, verbose=not args.quiet) File "C:\projects\conda\conda\misc.py", line 111, in explicit index.update(fetch_index(channels, **fetch_args)) File "C:\projects\conda\conda\fetch.py", line 266, in fetch_index for url in iterkeys(channel_urls)] File "C:\projects\conda\conda\fetch.py", line 67, in func res = f(*args, **kwargs) File "C:\projects\conda\conda\fetch.py", line 149, in fetch_repodata raise RuntimeError(msg) RuntimeError: Could not find URL: file:///C|/projects/conda/ ---------------------------- Captured stdout call ----------------------------- ``` The relevant lines to look at here are line 64 in `conda/misc.py` ``` url_p = utils_url_path(url_p).rstrip('/') ``` and line 147 in `conda/utils.py` ``` def url_path(path): path = abspath(path) if sys.platform == 'win32': path = '/' + path.replace(':', '|').replace('\\', '/') return 'file://%s' % path ``` Help here is definitely appreciated. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: mpl drawer modifies instruction params <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? ```python import numpy as np from qiskit.circuit import QuantumCircuit, QuantumRegister from qiskit.quantum_info.random import random_unitary q = QuantumRegister(2) qv = QuantumCircuit(q) U = random_unitary(4) qv.append(U, [q[0], q[1]]) print(qv.data[0][0].params) qv.draw(output='mpl') print(qv.data[0][0].params) ``` Before the drawer, it is a numpy array, after, it becomes a string. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: collecting ".bc" files in collect_libs() for emscripten packages collect_libs currently collects only .lib,.so,.a,.dylib files. emscripten generates ```.bc``` files for libraries. It would be nice to have that too, or provide a parameter for pattern apart from default patterns. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: enable multiple calls to `add_output_metadata` inside an IOManager to combine metadata Currently, successive calls to `add_output_metadata` will overwrite each other. It would be helpful to merge them. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Min (max) conan version checks from conan.conf Companies would like to introduce a check to guarantee that everyone is using the same version of conan. That should be an easy check with a config in conan.conf. Possibilities?: - A min-version check - A max-version check - An exact version check - A range The modes could be raise or warn. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Unable to use nested lists in DAG markdown documentation **Apache Airflow version**: 2.0.2 **What happened**: Tried to use the following markdown as a `doc_md` string passed to a DAG ```markdown - Example - Nested List ``` It was rendered in the web UI as a single list with no nesting or indentation. **What you expected to happen**: I expected the list to display as a nested list with visible indentation. **How to reproduce it**: Try and pass a DAG a `doc_md` string of the above nested list. I think the bug will affect any markdown that relies on meaningful indentation (tabs or spaces) doc_md code block collapsing lines **Apache Airflow version**: 2.0.0 - 2.1.0 **Kubernetes version**: N/A **Environment**: - **Cloud provider or hardware configuration**: Docker on MacOS (but also AWS ECS deployed) - **OS** (e.g. from /etc/os-release): MacOS Big Sur 11.3.1 - **Kernel** (e.g. `uname -a`): Darwin Kernel Version 20.4.0 - **Install tools**: - **Others**: **What happened**: When a code block is a part of a DAG's `doc_md`, it does not render correctly in the Web UI, but collapses all the lines into one line instead. **What you expected to happen**: The multi line code block be rendered with line breaks preserved. **How to reproduce it**: Create a DAG with `doc_md` containing a code block: ````python from airflow import DAG DOC_MD = """\ # Markdown code block Inline `code` works well. ``` Code block does not respect newlines ``` """ dag = DAG( dag_id='test', doc_md=DOC_MD ) ```` The rendered documentation looks like this: <img src="https://user-images.githubusercontent.com/11132999/119981579-19a70600-bfbe-11eb-8036-7d981ae1f232.png" width="50%"/> **Anything else we need to know**: N/A Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Code to compute concurrence is wrong <!-- ⚠ 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**: 0.10.0 - **Python version**: 3.7 - **Operating system**: Linux ### What is the current behavior? The routine 'concurrence' in qiskit/tools/qi/qi.py is wrong, the matrix A = rho.dot(YY).dot(rho.conj()).dot(YY) is not necessarily Hermitian but the Hermitian eigensolver is used to get it's eigenvalues. This can produce negative eigenvalues even though the matrix A is positive semidefinte. ### Steps to reproduce the problem It is sufficient to use an entangled density matrix like array([[0.20194612+0.j, 0.25967063+0.j, 0.27702504+0.j, 0.13035404+0.j], [0.25967063+0.j, 0.33389518+0.j, 0.3562102 +0.j, 0.16761458+0.j], [0.27702504+0.j, 0.3562102 +0.j, 0.38001657+0.j, 0.17881667+0.j], [0.13035404+0.j, 0.16761458+0.j, 0.17881667+0.j, 0.08414212+0.j]]) and check that the eigenvalues returned by the hermitian eigensolver are [-0.0971868 -0.08020192 -0.0104574 0.39189013] ### What is the expected behavior? For the density matrix above the correct eigenvalues are [0.00000000e+00 0.00000000e+00 6.45239207e-09 4.51712320e-01] ### Suggested solutions Replace the following 2 lines of the concurrence routine w = la.eigh(A, eigvals_only=True) w = np.sqrt(np.maximum(w, 0)) with the correct ones w = la.eigvals(A).real isort = np.argsort(w) w = np.sqrt(np.maximum(w[isort[:]],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: Make mpl colors and other styles fully configurable by users with a json load <!-- ⚠ 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 #5063, the IQX color scheme was added as an option to the mpl drawer. The style dict entry, 'displaycolor' was expanded to include new gates and to allow for entering both gate and text color for each gate type. This expands color choices to include dark gate colors with light text. This first phase was done by creating 3 classes in qcstyle.py. In this next phase, this can be reduced to 1 default class and the additional styles would be read in from json files. I don't believe users should be allowed to edit these 3 json files - default, iqx, and bw - directly, but they can copy these and create new styles of their own. This issue proposes to make default, iqx, and bw json style files part of qiskit, perhaps in a styles directory under the visualization directory. User json files should go in a fixed place, perhaps in a styles directory under ~/.qiskit. The code for reading in the json files already exists, though there is only minimal error checking currently. Deciding on the locations for the files is the main issue. We might want to look at any possible special cases, like the controlled classical gates in iqx and see if any of these can be addressed in a generic way. Right now all a user can do with color is change the colors of the specific gate names in 'displaycolor'. Any of the other documented style dict items can be set in the user json file. The user can create a partial style dict in the file, and only those elements entered will be changed for that style. The user interface is simple - `qc.draw('mpl', style='user_style1.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 huggingface/transformers codebase. Here's the problem: Longformer global attention mask, 2 or 1? This example in the LongFormer documentation (https://huggingface.co/transformers/model_doc/longformer.html ) ``` attention_mask[:, [1, 4, 21,]] = 2 # Set global attention based on the task. For example, ... # classification: the <s> token ... # QA: question tokens ... # LM: potentially on the beginning of sentences and paragraphs ``` seems to mislead the user to put a 2 as the global attention mask instead of a 1 this is described in the actual documentation. I'm guessing this is a mistake because (a) the example is directly copied from the AllenAI (https://github.com/allenai/longformer#how-to-use), and (b) the source code actually adds a +1 to the attention mask in the function `_merge_to_attention_mask` (https://huggingface.co/transformers/_modules/transformers/modeling_longformer.html#LongformerModel.forward). Could the documentation please be fixed or clarified? Thanks! Also what is the 1, 4, 21 in that example? ### Who can help Longformer/Reformer: @patrickvonplaten ## Information Model I am using (Bert, XLNet ...): LongFormer Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 dist from resolve.py Dist is no longer needed, and it's time to remove it from the code base. The first step is to remove all `dist` references from `resolve.py`, in a way that `py.test tests/test_resolve.py` passes. Once that's done, we can extract `dist` from the remainder of the code base. CC @mcg1969 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda config --get throws a traceback ``` (/root/dev) [root@21ca1df2ceaa conda]# conda config --set verbosity 1 (/root/dev) [root@21ca1df2ceaa conda]# conda config --get verbosity # >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<< Traceback (most recent call last): File "/root/dev/lib/python3.6/site-packages/conda/exceptions.py", line 1001, in __call__ return func(*args, **kwargs) File "/root/dev/lib/python3.6/site-packages/conda/cli/main.py", line 84, in _main exit_code = do_call(args, p) File "/root/dev/lib/python3.6/site-packages/conda/cli/conda_argparse.py", line 81, in do_call exit_code = getattr(module, func_name)(args, parser) File "/root/dev/lib/python3.6/site-packages/conda/cli/main_config.py", line 28, in execute execute_config(args, parser) File "/root/dev/lib/python3.6/site-packages/conda/cli/main_config.py", line 255, in execute_config numitems = len(items) TypeError: object of type 'int' has no len() `$ /root/dev/bin/conda config --get verbosity` ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Cmake module does not sanitize variable names when generating meson.build **Describe the bug** If a subproject that uses CMake names a library with something outside of alphanumeric and underscore characters, the meson module does not sanitize the name, resulting in a failed build. For example if the `CMakeLists.txt` file contains: ``` ... add_library(grpc++ src/cpp/client/insecure_credentials.cc ... src/cpp/codegen/codegen_init.cc ) set_target_properties(grpc++ PROPERTIES VERSION ${gRPC_CPP_VERSION} SOVERSION ${gRPC_CPP_SOVERSION} ) ... ``` **To Reproduce** Encountered this with gRPC: ``` $ cd subprojects $ git submodule add https://github.com/grpc/grpc.git $ git submodule sync --recursive $ git submodule update --init --recursive -- grpc $ meson out $ ninja -C out ... subprojects/grpc/meson.build:0:0: ERROR: Invalid variable name: cm_grpc++_dir A full log can be found at /mnt/data/extra/achang/src/chillfs/out/meson-logs/meson-log.txt FAILED: build.ninja ``` Here's a snippet of `meson.build` to include it: ``` cmake = import('cmake') grpc_proj = cmake_native.subproject('grpc') grpc_dep = grpc_proj.dependency('grpc_dep') deps += grpc_dep executable( 'myprogram', dependencies : deps, install : true ) ``` **Expected behavior** Can build the library and use it as a subproject. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? **plain native build** * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.): **Archlinux, but likely an issue everywhere** * what Python version are you using? **3.8.1** * what `meson --version`? **0.53.0** * what `ninja --version` if it's a Ninja build? **1.9.0** 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 conda/conda codebase. Here's the problem: Conda 4.2 branch doesn't support CIO_TEST. In config.py in `conda 4.1.x` I see: ``` def get_channel_urls(platform=None): if os.getenv('CIO_TEST'): import cio_test base_urls = cio_test.base_urls ``` cio_test is not imported anywhere in 4.2. 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 googleapis/google-cloud-python codebase. Here's the problem: public_url returning quoted_name with '/' i'm adding my files inside folders, so i give the blob name as `"UUID/file.ext"`, but when i request the [public_url()](https://github.com/GoogleCloudPlatform/google-cloud-python/blob/d0cfeb772fd612179984a191be1d8189b369a2c5/storage/google/cloud/storage/blob.py#L224) i get the fullname as [quoted](https://github.com/GoogleCloudPlatform/google-cloud-python/blob/d0cfeb772fd612179984a191be1d8189b369a2c5/storage/google/cloud/storage/blob.py#L233) example: `".../MYBUCKET/UUID%2Ffile.ext"` both `"%2F"` and `"/"` in the link downloads the same file, but with different names Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: log_driver: none causes " Failed to get logging factory: logger: no log driver named 'none' is registered" message I'm using docker and docker-compose from homebrew (with boot2docker/docker-machine): ``` $ docker -v Docker version 1.8.1, build d12ea79 ``` ``` $ docker-compose --version docker-compose version: 1.4.0 ``` The docker daemon version is: ``` $ boot2docker ssh docker -v Docker version 1.8.0, build 0d03096 ``` I'm specifying my `log_driver` in the `docker-compose.yml` file as per https://docs.docker.com/compose/yml/#log-driver, and setting it to `none`: `docker-compose.yml`: ``` helloworld: image: busybox command: echo "Hello World!" log_driver: none ``` I'm getting the following error when I 'docker-compose up`: ``` ~/dockercompose-test ❯❯❯ docker-compose up Starting dockercomposetest_helloworld_1... Attaching to dockercomposetest_helloworld_1 helloworld_1 | taching: Failed to get logging factory: logger: no log driver named 'none' is registered dockercomposetest_helloworld_1 exited with code 0 Gracefully stopping... (press Ctrl+C again to force) ``` The weird thing is this worked in lower versions of docker-compose and docker. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: [autoformatters] wrapping destroying items/lists # 🚀 Feature request Would it be possible to make the auto-wrappers respect items/lists? e.g. ended up with: ``` """ number of training steps is either 1. args.max_steps if --max_steps > 1 2. else derive from dataset if we can get its size """ ``` not only it's broken, it's unreadable. The original was: ``` """ number of training steps is either 1. args.max_steps if --max_steps > 1 2. else derive from dataset if we can get its size """ ``` Ideally it should not remove new lines before bullets */- and numbers 1. I also am not sure why there is a need to merge lines when the writer meant them to be shorter. I get the shortening, but why can't short lines be left alone. Which would be the case in this example. It looks like the only way I can enforce readable content is to inject paragraphs. Thank you! @sgugger Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] Spurious '-find' argument to XCRun <!-- Please don't forget to update the issue title. Include all applicable information to help us reproduce your problem. To help us debug your issue please explain: --> ### Environment Details (include every applicable attribute) * Operating System+version: Linux / Mac OS X * Compiler+version: clang 10.0 * Conan version: 1.32.1 * Python version: 3.8.5 ### Steps to reproduce (Include if Applicable) Attempt to cross-compile boost with `compiler=apple-clang` in the profile on Linux using the [osxcross](https://github.com/tpoechtrager/osxcross) toolchain. ### Logs (Executed commands with output) (Include/Attach if Applicable) ``` ERROR: boost/1.75.0: Error in build() method, line 649 self._create_user_config_jam(self._boost_build_dir) while calling '_create_user_config_jam', line 1003 contents += " -isysroot %s" % tools.XCRun(self.settings).sdk_path CalledProcessErrorWithStderr: Command 'xcrun -find -sdk macosx --show-sdk-path' returned non-zero exit status 1. ``` The Boost recipe attempts to run `xcrun -find -sdk macosx --show-sdk-path` which is an illegal command line. Tthe original Apple `xcrun` tool just ignores the superfluous `-find`, but the osxcross one silently errors out with return code 1. To fix this, the `-find` argument should be removed from ```python def _invoke(self, args): def cmd_output(cmd): return check_output_runner(cmd).strip() command = ['xcrun', '-find'] if self.sdk: command.extend(['-sdk', self.sdk]) command.extend(args) return cmd_output(command) ``` in the `apple.py` file. The `find` function already adds the `--find` argument when finding tools. I'll submit a PR. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: pprint methods for collections use hard-wired class names The pprint methods for collections classes (`_defaultdict_pprint`, _`ordereddict_pprint`, `_deque_pprint`, and `_counter_pprint`) have explicit class names in the function. This gives inconsistent results when using subclasses of these classes. For example `nltk.FreqDist` is a subclass of `collections.Counter`: ``` python In [60]: pprint() Pretty printing has been turned ON In [61]: x = nltk.FreqDist(['a','b','a']) In [62]: x Out[62]: Counter({'a': 2, 'b': 1}) In [63]: pprint() Pretty printing has been turned OFF In [64]: x Out[64]: FreqDist({'a': 2, 'b': 1}) ``` I can't say I fully understand how the pretty printing dispatch works, but I think the fix is to replace this: ``` python def _counter_pprint(obj, p, cycle): name = 'Counter' with p.group(len(name) + 1, name + '(', ')'): if cycle: p.text('...') elif len(obj): p.pretty(dict(obj)) ``` with something like: ``` python def _counter_pprint(obj, p, cycle): name = obj.__class__.__name__ with p.group(len(name) + 1, name + '(', ')'): if cycle: p.text('...') elif len(obj): p.pretty(dict(obj)) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 one time warning when calling dt that it has changed from ns to s <!-- ⚠ 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? Recently `dt` in the pulse configuration has changed from `ns` to `s`. A warning that is emitted once per-call should be added. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: np.left_shift and np.right_shift should infer types from second arg <!-- Please describe the issue in detail here, and fill in the fields below --> `np.left_shift` and `np.right_shift` shouldn't change the dtype of the first argument to match that of the second argument. It took me a few hours to relearn bit shifting before realizing that it was NumPy's fault and why there was such behavior. <!-- A short code example that reproduces the problem/missing feature. It should be self-contained, i.e., possible to run as-is via 'python myproblem.py' --> ```python import numpy as np np.left_shift(np.uint8(255), 1) # 510 - incorrect np.left_shift(np.uint8(255), np.uint8(1)) # 254 - correct ``` <!-- Output from 'import sys, numpy; print(numpy.__version__, sys.version)' --> 1.15.1 3.7.0 (default, Jun 28 2018, 07:39:16) [Clang 4.0.1 (tags/RELEASE_401/final)] Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 RESUME state Following some discussion on reacting to states, we will implement a `Resume` state that subclasses `Scheduled` (and should have a default `start_time` of `pendulum.now('utc')`) When the `TaskRunner` sees a `Resume` state, it should set the task context appropriately and then run the task. This will make pause/resume super clean: want to pause a task? Put it in a pause state! Want to resume the task? Put it in a resume state! *NB: some relevance to #88, in that we no longer need dedicated endpoints -- resuming is just a state change mutation. However we may still want ways to easily generate the API calls.* Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: AsyncResult.wait(0) can hang waiting for the client to get results? I have some code that runs multiple maps on a load balanced view. I run the code on a remote ipengine that I'm connected to via ssh; the client is running locally in an ipython notebook. The individual tasks take some time to run, perhaps a minute or two each. It appears that AsyncResult instances can end up in a situation where all outstanding jobs for the are finished, but where the outputs are not actually ready for the client yet. Thus _ready is not set, and somehow wait(0) ends up at self._wait_for_outputs(10) (line 161 of asyncresult.py). This hangs for ten seconds owing to the ten second timeout. As a result, any function which uses wait(0) will hang for ten seconds before returning, including AsyncResult.progress. While I'm not exactly sure _why_ this is happening, it seems like it can be solved reasonably easily by changing 10 to timeout, thus causing the timeout there to honor the timeout given to wait. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Add a --timeout parameter to `docker-compose scale` AFAIK, when you scale down a service, the excess containers get an stop command. However, they can get killed prematurely if the stop is not quick enough. Allowing for a stop timeout as it's done in 'docker stop' would solve this. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Unexpected behaviour for 'env_reader.get_env' Behaviour for `env_reader.get_env` ([link](https://github.com/conan-io/conan/blob/e018e0ff0e7f6addf76cf589f471edc23569939d/conans/util/env_reader.py#L12)): ```python def get_env(env_key, default=None, environment=None): if environment is None: environment = os.environ env_var = environment.get(env_key, default) if env_var != default: if isinstance(default, str): ... elif isinstance(default, list): return [var.strip() for var in env_var.split(",")] return env_var ``` From my point of view the following is unexpected: ```bash >>> from conans.util.env_reader import get_env >>> env = {'CONAN_HOOKS': ''} >>> get_env('CONAN_HOOKS', default=list(), environment=env) [''] ``` IMO, it should return an empty list. ---- I found this making some trials with hooks, once you deactivate all the hooks you have a `conan.conf` file with an empty section: ```ini [hooks] ``` and then, when executing any command, it gives me the following warning: `WARN: Hook '.py' not found in /Users/jgsogo/.conan/hooks folder. Please remove hook from conan.conf or include it inside the hooks folder.` So, if you don't consider the previous behavior as unexpected, then an additional check should be added to the `HookManager` to avoid the warning. cc/ @conan-io/barbarians Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Datastore fetch needs to encapsulate all gRPC errors This code: ``` python try: start_date = datetime.datetime(1990, 1, 1) query = client.query(kind='Task') query.add_filter( 'created', '>', start_date) query.add_filter( 'priority', '>', 3) return list(query.fetch()) except google.cloud.exceptions.BadRequest: pass ``` Raises a `grpc._channel._Rendezvous` exception instead of an expected subclass of `google.cloud.exceptions.BadRequest` (I'd also accept `google.cloud.exceptions.GoogleCloudError`): ``` grpc._channel._Rendezvous: <_Rendezvous of RPC that terminated with (StatusCode.INVALID_ARGUMENT, Cannot have inequality filters on multiple properties: [created, priority])> ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Crash Ultratraceback/ session history ``` print("\x") ``` In Notebook make ultratraceback not behave : ``` Traceback (most recent call last): File "/Users/matthiasbussonnier/ipython/IPython/kernel/zmq/ipkernel.py", line 378, in execute_request shell.run_cell(code, store_history=store_history, silent=silent) File "/Users/matthiasbussonnier/ipython/IPython/core/interactiveshell.py", line 2676, in run_cell self.showsyntaxerror() File "/Users/matthiasbussonnier/ipython/IPython/core/interactiveshell.py", line 1774, in showsyntaxerror stb = self.SyntaxTB.structured_traceback(etype, value, []) File "/Users/matthiasbussonnier/ipython/IPython/core/ultratb.py", line 1205, in structured_traceback if isinstance(value.filename, py3compat.string_types) \ AttributeError: 'exceptions.ValueError' object has no attribute 'filename' ERROR! Session/line number was not unique in database. History logging moved to new session 13867 ``` Of course not hightlighted, kernel does not dies, but no prompt number returned. (that's not master as I merged a few branch in it, but it shoudln't have any effect, and I can't test on master now) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 of pmap gives wrong shape When I do a batched pmap (vmap over pmap), I can access the batch dimension inside the vmap (and it hides another dim of the array). See repro below: ``` from jax import lax, pmap, vmap, map def vv(x, y): """Vector-vector multiply""" return np.vdot(x, y) def distributed_matrix_vector(x, y, distributed=True): """Matrix vector multiply. First batch it and then row by row""" fv = lambda z: lax.map(lambda j: vv(j, y), z) if distributed: res = pmap(fv)(x.reshape((jax.device_count(), -1) + tuple(x.shape[1:]))) else: res = fv(x) print("Inside matrix vector code %s (should be %s)" % (res.shape, (x.shape[0], 1))) return res print("Not vmapped") key = random.PRNGKey(1) x = random.normal(key, (800, 50)) y = random.normal(key, (50, 1)) result = distributed_matrix_vector(x, y) print("Outside matrix vector code", result.shape) print("Vmapped") batched_mvm = vmap(lambda b: distributed_matrix_vector(x, b, True), in_axes=(0,)) y = random.normal(key, (10, 50)) result = batched_mvm(y) print("Outside matrix vector code", result.shape) # Not vmapped # Inside matrix vector code (8, 100) (should be (800, 1)) # Outside matrix vector code (8, 100) # Vmapped # Inside matrix vector code (8, 10) (should be (800, 1)) # Outside matrix vector code (100, 8, 10)``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 image-guided object detection support to OWL-ViT Hi, The [OWL-ViT](https://huggingface.co/docs/transformers/model_doc/owlvit) model is an open-vocabulary model that can be used for both zero-shot text-guided (supported) and one-shot image-guided (not supported) object detection. It'd be great to add support for one-shot object detection to `OwlViTForObjectDetection` such that users can query images with an image of the target object instead of using text queries - e.g. using an image of a butterfly to search for all butterfly instances in the target image. See an example below. <img width="989" alt="Screenshot 2022-08-24 at 17 16 28" src="https://user-images.githubusercontent.com/8944735/186441941-7278676e-aecb-4c7d-b1d5-df4fb444becb.png"> To do this, we would just need to compute and use the `OwlViTModel` (alias to CLIP) embeddings of the query images instead of the text query embeddings within `OwlViTForObjectDetection.forward()`, which would take the target image + either text queries or image queries as input. Similarly, `OwlViTProcessor` would be updated to preprocess sets of (image, text) and (image, query_image). @sgugger @NielsRogge @amyeroberts @LysandreJik what do you think about this? Would this be something we would like to support? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: enable_pylab(import_all=False) still imports np In SymPy, we use `ip.enable_pylab(import_all=False)`. But it seems that it still imports `np`. I didn't check if any other names are accidentally imported as well. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: numpy array printing regression for ndarray subclasses in NumPy 1.14 It looks like some of the array printing changes in NumPy 1.14 are causing issues in yt. Specifically, printing yt's object that represents a scalar with units is triggering a recursion error. Here is a simplified example that is sufficient to trigger the same error: ```python import numpy as np class MyArray(np.ndarray): def __new__(cls, inp): obj = np.asarray(inp).view(cls) return obj def __str__(self): return super(MyArray, self).__str__() def __getitem__(self, item): ret = super(MyArray, self).__getitem__(item) return MyArray(ret) if __name__ == "__main__": a = MyArray(1) print(a) ``` This script triggers an infinite recursion error on NumPy 1.14.0 and prints `1` on NumPy 1.13.3. Is there any chance that this can be fixed on NumPy's side for a 1.14.1 release? I'm honestly not sure how to fix this on the yt side without making major changes to our ndarray subclasses. Ping @mhvk Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: get_define should raise a better Error if compiler does not support it. If one calls `get_define` for the rust compiler the result is a backtrace. We should check if the compiler has `get_define` defined and raise a better error message if not. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Integration list synchronization with airflow-site Hello friends. Today I am coming to you with another ticket. This time, while working on the website, I discovered that we have some information that is slightly outdated. [`landing-pages/site/static/integrations.json`](https://github.com/apache/airflow-site/blob/master/landing-pages/site/static/integrations.json ) file have lists all the integrations that have been added to Airflow, but unfortunately it is updated manually. Recently, new services were added there on Oct 2019 We can think of a tool that will update this list more automatically by reading the integration list from [provider.yaml](https://github.com/apache/airflow/find/master) files, and then creating an integration.json file that can be published to the airflow-site. For now, we need a manual run script, but in the future, we can also run it on Github Action or during updates and documentation. CC: @ryw Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [suggestion] [workspaces] Support yaml list as workspace root Using yaml list for setting the workspace root variable makes it easier to manage the yaml file, when the workspace has multiple roots. I would like to contribute to this feature. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: emit error message and exit if the repo has uncommitted changes I just wanted to suggest putting this warning at the bottom of the `meson dist` output >WARNING: Repository has uncommitted changes that will not be included in the dist tarball I had a bit of trouble because I hadn't read the paragraph in the docs about [how `meson dist` works](https://mesonbuild.com/Creating-releases.html#autotools-dist-vs-meson-dist), and I feel that it's an important warning that could be easily missed (especially by nubs like myself) after it's scrolled away. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Clang via Visual Studio results in error To help us debug your issue please explain: - [X] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/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. Conan 0.30.3 When using the `compiler` to `Visual Studio` and `compiler.toolset` setting set to `LLVM-vs2014` (and possibly others), the CMake generator's generated file creates an error condition: ``` -- Selecting Windows SDK version 10.0.15063.0 to target Windows 6.1.7601. -- The C compiler identification is Clang 5.0.1 -- The CXX compiler identification is Clang 5.0.1 -- Check for working C compiler: C:/Program Files/LLVM/msbuild-bin/cl.exe -- Check for working C compiler: C:/Program Files/LLVM/msbuild-bin/cl.exe -- works ... -- Conan: called by CMake conan helper CMake Error at D:/conan-cache/.../conanbuildinfo.cmake:416 (message): Incorrect 'Visual Studio', is not the one detected by CMake: 'Clang' Call Stack (most recent call first): D:/conan-cache/.../conanbuildinfo.cmake:115 (conan_check_compiler) CMakeLists.txt:6 (conan_basic_setup) ``` Since this compiler.toolset option is present in the default settings.yml, I presume this is supposed to work. My guess at the right way to approach this is to teach the CMake generator about compiler.toolset, which it is currently blissfully ignorant of. The downside is that it also means teaching the generator about this setup (and would potentially not work for custom toolsets). Can you help me debug this systematically and explain your reasoning?