[System] You are an expert software 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: Option to display hidden files in the file browser side panel I couldn't find another issue that mentioned this, so I'll open it here: It would be nice to be able to view hidden files in the file browser. Perhaps it could be in the `File` dropdown, although I don't see any other configuration options that it would group naturally with. Maybe a standalone command in the `Commands` tab would be most appropriate. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: What causes error message: ERROR: <pkg-name> 'settings.arch' value not defined? Conan 1.6.1 Hi, We have a structure like the following (simplified): PkgA requires PkgB PkgB requires PkgC PkgA has no settings attribute PkgB has _settings = "os", "compiler", "build_type", "arch"_ PkgC has no settings attribute if we run (for PkgA): ``` conan install PkgA-recipe -if <build dir> conan build PkgA-recipe -bf <build dir> -sf <src folder> conan export-pkg PkgA-recipe dev/test -bf <build dir> ``` we get the error _ERROR: PkgB 'settings.arch' value not defined_. The output from conan suggests that the _conan export-pkg_ command successfully exporting the package, but failed before the package() method is called. if we run (for PkgA): `conan create PkgA-recipe dev/test` it works fine. To stop the error for the local build we added _settings = "os", "compiler", "build_type", "arch"_ to PkgA but we don't understand why this was required. Any guidance on what we may have done wrong? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add Latex Formatting for Arrays <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> It has been requested that I add the `array_to_latex` tool from the textbook package to qiskit. I will need some assistance with how / where is best to add this, as well as bringing to code up to qiskit's standard before I make a pull request. [Here is a link to the tool in its current form.](https://github.com/Qiskit/qiskit-textbook/blob/536835ee1e355bb8e9cb9fff00722e968bc6dc79/qiskit-textbook-src/qiskit_textbook/tools/__init__.py#L163) Thank you! ### What is the expected behavior? There is a way to neatly convert numpy arrays (such as the output of `.get_statevector()` and `.get_unitary()`) into readable latex. Example of current output: ``` [[1. +0.j 0. +0.j 0. +0.j 0. +0.j ] [0. +0.j 1. +0.j 0. +0.j 0. +0.j ] [0. +0.j 0. +0.j 1. +0.j 0. +0.j ] [0. +0.j 0. +0.j 0. +0.j 0.70710678+0.70710678j]] ``` Example of `array_to_latex` output for same matrix: <img width="548" alt="Screenshot 2020-04-23 at 08 40 17" src="https://user-images.githubusercontent.com/36071638/80072563-53e1e080-853e-11ea-8fc6-a060ce01db98.png"> [more usage examples can be found here](https://qiskit.org/textbook/ch-gates/phase-kickback.html) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Logging system-calls? Would there be value in a command-line flag to force Meson to log all `Popen_safe()` system calls, for debugging? (Of course, I can use `strace` in a pinch.) For reference: * https://github.com/mesonbuild/meson/blob/fc5e8dfcdae11d23469fd01d878c7c9c30d67d30/mesonbuild/dependencies/base.py -- `class Dependency`, which runs **pkg-config** invisibly * https://github.com/mesonbuild/meson/blob/fc5e8dfcdae11d23469fd01d878c7c9c30d67d30/mesonbuild/mesonlib.py -- `Popen_safe()` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 subproject fails with "Tried to form an absolute path to a source dir" **Describe the bug** I have a simple Meson project that uses a CMake subproject. I pass an additional CMake option in using `cmake_options`, specifying `BOOST_ROOT`. When configuring, I see the subproject getting configured with CMake correctly, but as soon as the configuration succeeds, Meson quits with an error: > subprojects/mySubproject/meson.build:0:0: ERROR: Tried to form an absolute path to a source dir. You should not do that but use relative paths instead. (The error message is followed by an explanation on how to use `include_directories`.) Note that the error message points to a nonexistent file `subprojects/mySubproject/meson.build` in line 0. **To Reproduce** Here's my `meson.build`: ``` project( 'myApp', 'cpp', version : '0.0.1' ) cmake = import('cmake') boost_root = meson.source_root() + '/myBoost' message('Configuring mySubproject with BOOST_ROOT = ' + boost_root) proj = cmake.subproject('mySubproject', cmake_options : [ '-DBOOST_ROOT=' + boost_root ]) ``` **Expected behavior** It should either provide better diagnostics, or not fail. **system parameters** * Native build * OS: Oracle Linux 7.7 (based on CentOS) * Python: 3.7.4 * Meson version: 0.53.1 * Ninja version: 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 Qiskit/qiskit codebase. Here's the problem: Transpile Performance Regression <!-- ⚠ 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**: >=0.14.0 - **Python version**: Any - **Operating system**: Any ### What is the current behavior? https://github.com/Qiskit/qiskit-terra/commit/529a22b6 made some changes to how we reorder bits in stochastic swap and basic swap. These change slow down these passes about [2x slower for basic swap ](https://qiskit.github.io/qiskit/#mapping_passes.PassBenchmarks.time_basic_swap?machine=dedicated-benchmarking-softlayer-baremetal&os=Linux%204.15.0-46-generic&ram=16GB&p-n_qubits=5&p-depth=1024&commits=529a22b6)and [10-30% for stochastic swap](https://qiskit.github.io/qiskit/#mapping_passes.PassBenchmarks.time_stochastic_swap?machine=qiskit-benchmarking&os=Ubuntu%2018.04&ram=16%20GB&p-n_qubits=5&p-depth=1024&commits=529a22b6). You can also see the impact of stochastic swap for transpiles with the preset pass managers (because of stochastic swap) here: https://qiskit.github.io/qiskit/#transpiler_levels.TranspilerLevelBenchmarks.time_quantum_volume_transpile_50_x_20?machine=qiskit-benchmarking&os=Ubuntu%2018.04&ram=16%20GB&p-transpiler%20optimization%20level=1&commits=529a22b6 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Error when parsing fortran code with abstract interface f2py appears to be missing support for abstract interfaces. Attempting to parse code containing an abstract interface produces an error. ### Reproducing code example: ```python from numpy.f2py.crackfortran import crackfortran crackfortran('test_interface.F90') ``` test_interface.F90: ```fortran module test abstract interface end interface end module test ``` ### Error message: ``` Traceback (most recent call last): File "/Users/jhaiduce/Development/lightda/test_interface_crackfortran.py", line 3, in <module> crackfortran('test_interface.F90') File "/usr/local/lib/python3.9/site-packages/numpy/f2py/crackfortran.py", line 3310, in crackfortran readfortrancode(files, crackline) File "/usr/local/lib/python3.9/site-packages/numpy/f2py/crackfortran.py", line 526, in readfortrancode dowithline(finalline) File "/usr/local/lib/python3.9/site-packages/numpy/f2py/crackfortran.py", line 759, in crackline raise Exception('crackline: groupcounter(=%s) is nonpositive. ' Exception: crackline: groupcounter(=0) is nonpositive. Check the blocks. ``` ### NumPy/Python version information: 1.20.1 3.9.1 (default, Feb 3 2021, 07:04:48) [Clang 11.0.0 (clang-1100.0.33.17)] Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: take_along_axis inconsistent with numpy Stumbled upon this while migrating some code for selecting a batch of main eigenvectors to jax: ```python import numpy as onp import jax.numpy as jnp B, M, N = 2, 3, 5 v, m = onp.random.rand(B, N), onp.random.rand(B, M, N) def foo(np=None): i = np.argmax(v, axis=-1)[..., None, None] return np.take_along_axis(m, i, axis=-1) print(foo(np=onp).shape) # => (2, 3, 1) print(foo(np=jnp).shape) # => (2, 1, 1) ``` Jax returns something of a different shape. I also found that I could omit one of the dummy axes on `i`, which numpy does not accept (`m` and `i` must have the same ndim and compatible shapes) but jax 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 PrefectHQ/prefect codebase. Here's the problem: Context docs are broken For some reason the actual `context` class signature is not being documented. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 support for --health-start-period Docker CE 17.06 will contain support for --health-start-period, compose should add a matching capability and updates to the corresponding v3.x & v2.x compose formats to support this option. Originally mentioned in docker/cli#116 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Coupling maps is about wires, not qubits The `Coupling` object talks about "qubits" instead of "wires". In the context of layouts and wire maps, that's confusing. The `Layout` object denotates wires with numbers. I think the same should happen in `Coupling`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the celery/celery codebase. Here's the problem: GroupResult.as_tuple forget serialize group parent ``` celery -A ct report software -> celery:4.0.2 (latentcall) kombu:4.0.2 py:2.7.9 billiard:3.5.0.2 py-amqp:2.1.4 platform -> system:Linux arch:64bit, ELF imp:CPython loader -> celery.loaders.app.AppLoader settings -> transport:amqp results:cache+memcached://127.0.0.1:11211/ broker_url: u'amqp://guest:********@localhost:5672//' result_backend: u'cache+memcached://127.0.0.1:11211/' ``` **Steps to reproduce** ``` # ct.py # ct.py from __future__ import absolute_import, unicode_literals from celery import Celery app = Celery( 'ct', broker='amqp://guest@localhost//', backend='cache+memcached://127.0.0.1:11211/' ) @app.task def nothing(*args): return args if __name__ == '__main__': app.start() ``` Start worker `python ct.py worker -l INFO` In `python` console ``` >>> from celery import chain, group >>> from celery.result import result_from_tuple >>> from ct import nothing >>> c = nothing.s() | group(nothing.s(), nothing.s()) >>> r = c.delay() >>> r <GroupResult: f46d7bcc-3140-40e8-9e21-d2f74eef6f28 [4854af6e-8e4a-48d8-98e9-d5f0eefcce20, 5c8d4ec1-84ff-4845-a9b2-9f07fd9bed19]> >>> r.parent <AsyncResult: a359ae60-ed18-4876-a67b-fc8cd83759a2> >>> t = r.as_tuple() >>> r2 = result_from_tuple(t) >>> r2 <GroupResult: f46d7bcc-3140-40e8-9e21-d2f74eef6f28 [4854af6e-8e4a-48d8-98e9-d5f0eefcce20, 5c8d4ec1-84ff-4845-a9b2-9f07fd9bed19]> >>> r2.parent >>> r2.parent is None True ``` **Expected behavior** ``` >>> r2 = result_from_tuple(t) >>> r2.parent <AsyncResult: a359ae60-ed18-4876-a67b-fc8cd83759a2> >>> ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: SqueezBert link gives a 404 error The main Readme.md file (https://github.com/huggingface/transformers/blob/master/README.md), the SqueezeBert link (https://huggingface.co/transformers/model_doc/squeezebert.html) gives a "404 - Not Found" Error. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Add user-agent info to Jupyter magics Client constructor(s). In order to better prioritize jupyter features such as #8342 and #8143, it is important for Google to know how much these features are used to query BigQuery. This is done by populating the user-agent string with the corresponding "application name" and version information. I propose we use the IPython version information in this string, as these magics are being used from an IPython kernel. Getting the IPython version string: https://stackoverflow.com/a/56265255/101923 Something like: ``` bigquery.Client( client_info=ClientInfo( user_agent="ipython-{}".format(IPython.__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 conan-io/conan codebase. Here's the problem: [workspaces] Use conanws.yml by default if no workspace file given From the documentation it appears that the intention is for different workspace configs to be used under different settings, however I will use only one workspace config and use layout placeholders to make it work under different settings. For this use case I think it would be good to have `conan workspace install` look for a `conanws.yml` file in the current directory and use that if no file is explicitly provided. This implies the need for #4777 as I don't think it's a good idea to recurse up the directory hierarchy to look for this file. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 setup darwin/CPython error Hi on some alternative project, ipython is failing to build on a linux system: <pre> Searching for ipython>=3.0.0 Reading https://pypi.python.org/simple/ipython/ Best match: ipython 4.1.1 Downloading https://pypi.python.org/packages/source/i/ipython/ipython-4.1.1.zip#md5=445ff597cccb7818c23c988010f62838 Processing ipython-4.1.1.zip Writing /tmp/easy_install-gDd17B/ipython-4.1.1/setup.cfg Running ipython-4.1.1/setup.py -q bdist_egg --dist-dir /tmp/easy_install-gDd17B/ipython-4.1.1/egg-dist-tmp-QzsqPK error: Setup script exited with error in ipython setup command: Invalid environment marker: sys_platform == "darwin" and platform_python_implementation == "CPython" </pre> fixing the `requirements.txt` like this solves the problem: <pre> diff --git a/requirements.txt b/requirements.txt index 2b00519..1a20c72 100644 --- a/requirements.txt +++ b/requirements.txt @@ -8,7 +8,7 @@ decorator wheel pyyaml werkzeug -ipython>=3.0.0 +ipython==4.0.0 statistics requests rlp>=0.4.4 </pre> In short, ipython 4.1.1 is automatically choosen and fails, while 4.0.0 is fine, and it seems related to the following line in `setup.py`: `207: ':sys_platform == "darwin" and platform_python_implementation == "CPython"': ['gnureadline'],` Cheers Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Include `timeout` attribute (related to DDP) to TrainingArguments ### Feature request Would it be possible to include a `timeout` attribute to the `TrainingArguments` dataclass, such as it will be used as an argument of the `torch.distributed.init_process_group` calls? Reference: https://pytorch.org/docs/stable/distributed.html#torch.distributed.init_process_group ### Motivation Essentially, if a process uses DDP and performs a set of operations prior to using the GPUs, such as tokenization/mapping, for more than `timeout` seconds (defaults to 30 minutes), the process will stop and get killed due to a `Socket Timeout`. (issue #17106). By adding a `timeout` argument to the `TrainingArguments` class, we will be able to let users decide in overriding the default timeout defined by PyTorch and hopefully introduce a way to prevent `Socket Timeouts` when mapping large datasets. ### Your contribution I could definitely submit a PR, seems to be pretty straightforward to add a new attribute to the `TrainingArguments` class. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Initial layout does not support some types of list <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior? This fails: ```python lay = QuantumCircuit(5, 5) lay.h(2) lay.cx(2, 1) lay.cx(1, 0) lay.cx(2, 3) lay.cx(3, 4) lay.barrier() lay.measure(range(5), range(5)) layout = list(np.random.permutation(5)) job6 = execute(lay, backend, initial_layout=layout) ``` with error: ` AttributeError: 'list' object has no attribute 'get_physical_bits'` but inputting the resulting list by hand works. ### 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 docker/compose codebase. Here's the problem: up should not add 3 dots after container name. Makes slow to copy/paste There are added 3 dots after the container name when doing `up` ``` # docker-compose up Starting dockercomposetest_helloworld_1... Attaching to dockercomposetest_helloworld_1 ``` which makes copy/pasing the name on Linux slow, as you can't just double click on the name without also getting the 3 dots. So one would have to drag the mouse cursor over the name and make sure not to get any of the dots included. **Proposal** Don't add the 3 dots. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: CSRF token should be expire with session ### Apache Airflow version 2.5.0 ### What happened In the default configuration, the CSRF token [expires in one hour](https://pythonhosted.org/Flask-WTF/config.html#forms-and-csrf). This setting leads to frequent errors in the UI – for no good reason. ### What you think should happen instead A short expiration date for the CSRF token is not the right value in my view and I [agree with this answer](https://security.stackexchange.com/a/56520/22108) that the CSRF token should basically never expire, instead pegging itself to the current session. That is, the CSRF token should last as long as the current session. The easiest way to accomplish this is by generating the CSRF token from the session id. ### How to reproduce _No response_ ### Operating System Linux ### Versions of Apache Airflow Providers _No response_ ### Deployment Official Apache Airflow Helm Chart ### Deployment details _No response_ ### Anything else _No response_ ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Artifactory without enabled "anonymous access" doesn't use revisions If the "anonymous access" is not enabled in Artifactory, the "ping" Conan endpoint returns a 401 if no authentication is sent, so the capabilities are never read, but the 401 is currently ignored by the client, storing an empty set of capabilities for the remote. To fix this, we have to raise an exception if we receive a 401 in the "ping" endpoint so we force the authentication process in the client. But there is another issue to solve: the authenticating process in the client is trying to get the capabilities to know if it should use v1 or v2 so it is like a snake biting its own tail. It can be fixed by using always "v1" to authenticate and not hiding the 401 in the ping endpoint. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: network: collect TCPRetransFail metric Nothing additional to add, this is just a metric that we'd like to collect. We had a host that was hitting a high number of these that was causing some network instability. The closest metric we had was `system.net.tcp.retrans_segs` but this just indicates that a segment was retransmitted, which is normal TCP behaviors. The problem is when they fail to retransmit, but this metric isn't tracked by dd-agent today. This can be seen from `netstat -s -p tcp` the same way the other stats are collected. I will likely submit a PR, but I don't know how to collect this on Solaris system to cover that case, but I can do the BSD case. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Dealing with images in multidirectory environment I am playing with this and I found this behaviour: My directory have the following structure: /Desarrollos ---/damian_blog ---/pyconar2013_talks ---/etc... I started the notebook in `Desarrollos` using: `ipython notebook pyconar2013_talks/IPython_fu_talk.ipynb` Then if I load an image in markdown cell, `<img src="figs/logo.png" />` the files prepend is no longer necessary, which is great... But if I try to load the image in a code cell, ``` from IPython.display import Image Image(filename='pyconar2013_talks/figs/logo.png') ``` I have to preppend with the `pyconar2013_talks` to make it render in the code cell... and if a preppend the src in the markdown cell `<img src="pyconar2013_talks/figs/logo.png" />`, it is not rendered... This is the intended behaviour? Because we have a lack of consistency? Or a I missing something? Dami]an. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: LGTM alerts . I notice that there are still a fair number LGTM alerts, many of which look pretty simple. I wonder if they would be a good source of issues for the next NumPy sprint? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Fortran reshape order runs but gives wrong behaviour Hi there, Big fan of Jax, thanks for making this! I believe there is a problem with specifying the reshaping order: ```python a = np.arange(6) + 1 np.reshape(a, (3, 2), order='F') ``` Should give: ``` array([[1, 4], [2, 5], [3, 6]]) ``` But instead gives: ``` array([[1, 2], [3, 4], [5, 6]], dtype=int32) ``` Basically, it is ignored and always does column-major reordering. If unsupported, it would be nice for it to just fail rather than silently carry on. Fortran reshape order runs but gives wrong behaviour Hi there, Big fan of Jax, thanks for making this! I believe there is a problem with specifying the reshaping order: ```python a = np.arange(6) + 1 np.reshape(a, (3, 2), order='F') ``` Should give: ``` array([[1, 4], [2, 5], [3, 6]]) ``` But instead gives: ``` array([[1, 2], [3, 4], [5, 6]], dtype=int32) ``` Basically, it is ignored and always does column-major reordering. If unsupported, it would be nice for it to just fail rather than silently carry on. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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.dtype()` issue warning when run python3 with `-b` switch See [here](https://github.com/pandas-dev/pandas/issues/16776) 1. Run Python using `python3 -b` 2. Run ``` import numpy as np np.dtype('int32') ``` I get output ``` >>> import numpy as np >>> np.dtype('int32') __main__:1: BytesWarning: Comparison between bytes and string dtype('int32') >>> print(sys.version) 3.5.3 |Continuum Analytics, Inc.| (default, Mar 6 2017, 12:15:08) [GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)] >>> np.version.version '1.13.0' ``` 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 conan-io/conan codebase. Here's the problem: conan upload should print the remote it is using ``` conan upload "*" Are you sure you want to upload 'XXX@XXX/XXXX'? (yes/no): ```` It should be `Are you sure you want to upload 'XXX@XXX/XXXX' to remote 'conan-center'? (yes/no): Or print first: ``` > conan upload "*" Uploading to remote 'conan-center': Are you sure you want to upload 'XXX@XXX/XXXX'? (yes/no): ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: improve scaling of append method of QuantumCircuit for wide circuits <!-- ⚠ 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. --> Creating a circuit of fixed depth and variable width scales superlinearly with increasing width. This seems to be due to the issubset method of python sets. Other circuit methods which use append are likely also affected such as `inverse`, `reverse_ops`, `combine`, and `extend`. ![image](https://user-images.githubusercontent.com/25756217/137263422-21ffe911-1770-42da-a25c-91f1f96e1665.png) Looking at the call graph this seems to be due to the `issubset` call in `_check_qargs`. Probably a similar issue would exist for `_check_cargs` ![image](https://user-images.githubusercontent.com/25756217/137264183-1c4e9a2e-0bcb-472d-8b15-fc676d655cb8.png) qiskit version: 0.19.0.dev0+ccb9a6c ### What is the expected enhancement? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: introspection: Add version information to 'meson introspect --scan-dependencies' @mensinda Add ability to display required version for dependencies discovered via 'meson introspect --scan-dependencies' Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the gitpython-developers/GitPython codebase. Here's the problem: threading.setDaemon has been deprecated in favor of setting daemon attribute directly in Python 3.10 Ref : python/cpython#25174 ``` /root/checked_repos_clone/GitPython/git/cmd.py:106: DeprecationWarning: setDaemon() is deprecated, set the daemon attribute instead t.setDaemon(True) Iterated 1 Commits in 0.005753278732299805 [s] ( 173.813932 commits/s ) ./root/checked_repos_clone/GitPython/git/cmd.py:106: DeprecationWarning: setDaemon() is deprecated, set the daemon attribute instead t.setDaemon(True) E/root/checked_repos_clone/GitPython/git/cmd.py:106: DeprecationWarning: setDaemon() is deprecated, set the daemon attribute instead t.setDaemon(True) E/root/checked_repos_clone/GitPython/git/cmd.py:106: DeprecationWarning: setDaemon() is deprecated, set the daemon attribute instead t.setDaemon(True) EE/root/checked_repos_clone/GitPython/git/cmd.py:106: DeprecationWarning: setDaemon() is deprecated, set the daemon attribute instead t.setDaemon(True) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Using a numpy integer type as an index for a QuantumRegister fails ### Information - **Qiskit Terra version**: 0.11.1 - **Python version**: 3.7.6 - **Operating system**: Ubuntu 18.04.4 LTS ### What is the current behavior? An error is raised: ``` File "/lib/python3.7/site-packages/qiskit/circuit/register.py", line 90, in __getitem__ raise CircuitError("expected integer or slice index into register") qiskit.circuit.exceptions.CircuitError: 'expected integer or slice index into register' ``` ### Steps to reproduce the problem ```python from qiskit import QuantumRegister import numpy as np qr = QuantumRegister(3) qubit_index = np.int64(0) qubit = qr[qubit_index] ``` ### What is the expected behavior? Since numpy is used extensively in scientific programming, the type checking should not be as strict. ### Suggested solutions Change line 89 of register.py from: ```python if not isinstance(key, (int, slice, list)): ``` to ```python if not isinstance(key, (int, slice, list, np.integer)): ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 `Expr` and `Type` values in QPY serialisation Part of #10239. As part of the push for classical rvalue expressions for conditions in Terra, we need to support serialisation/deserialisation of these within QPY. This is necessary for initial 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 googleapis/google-cloud-python codebase. Here's the problem: Add GAE/GCE support for datastore.set_default_dataset and add exception on failure See discussion in #444 for comments on exception. Something like [`oauth2client.client._get_environment`](https://github.com/google/oauth2client/blob/481b4b6310e5872fbd5ed6c7aa336938e564d729/oauth2client/client.py#L953) could be good to detect GAE/GCE dataset ID's but `_detect_gce_environment` should be better as discussed in google/oauth2client#93 Not blocking for M1. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: GlueOperator: iam_role_arn as a parameter ### Description Hi, There is mandatory parameter iam_role_name parameter for GlueJobOperator/GlueJobHook. It adds additional step of translating it to the arn, which needs connectivity to the global iam AWS endpoint (no privatelink availabale). For private setups it needs opening connectivity + proxy configuration to make it working. It would be great to have also possibility to just pass directly iam_role_arn and avoid this additional step. ### Use case/motivation Role assignation does not need external connectivity, possibility of adding arn instead of the name. ### Related issues _No response_ ### Are you willing to submit a PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: fPIC auto-managed in autotools build helper The same we did with CMake here https://github.com/conan-io/conan/pull/2818/files Take into account that there is already a flag fPIC. So, act when the parameter is not specified. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Wrong argument to `Path` in ipython in version 8.0.0a1 <!-- This is the repository for IPython command line, if you can try to make sure this question/bug/feature belong here and not on one of the Jupyter repositories. If it's a generic Python/Jupyter question, try other forums or discourse.jupyter.org. If you are unsure, it's ok to post here, though, there are few maintainer so you might not get a fast response. --> I have pre-release tests on my package and I got such error (only on windows https://github.com/4DNucleome/PartSeg/runs/4559230495?check_suite_focus=true) : ``` D:\tmp\tox\py38-PyQt5-all\lib\site-packages\PartSeg\common_gui\qt_console.py:9: in <module> from ipykernel.inprocess.ipkernel import InProcessInteractiveShell D:\tmp\tox\py38-PyQt5-all\lib\site-packages\ipykernel\inprocess\ipkernel.py:10: in <module> from IPython.core.interactiveshell import InteractiveShellABC D:\tmp\tox\py38-PyQt5-all\lib\site-packages\IPython\__init__.py:51: in <module> from .core.application import Application D:\tmp\tox\py38-PyQt5-all\lib\site-packages\IPython\core\application.py:37: in <module> programdata = Path(os.environ.get("PROGRAMDATA", None)) c:\hostedtoolcache\windows\python\3.8.10\x64\lib\pathlib.py:1042: in __new__ self = cls._from_parts(args, init=False) c:\hostedtoolcache\windows\python\3.8.10\x64\lib\pathlib.py:683: in _from_parts drv, root, parts = self._parse_args(args) c:\hostedtoolcache\windows\python\3.8.10\x64\lib\pathlib.py:667: in _parse_args a = os.fspath(a) E TypeError: expected str, bytes or os.PathLike object, not NoneType ERROR: InvocationError for command 'D:\tmp\tox\py38-PyQt5-all\Scripts\pytest.EXE' package/tests --no-cov (exited with code 4) ``` It looks like wrong default value is provided here `os.environ.get("PROGRAMDATA", 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 googleapis/google-cloud-python codebase. Here's the problem: Spanner docs are outdated Spanner docs still talk about [checking out a session](https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/docs/spanner/snapshot-usage.rst) and then doing operations on that such as `session.snapshot` and `session.batch`. We changed the API long time back where such operations can be done directly on the database object and that is the API we want to promote. Please audit all the docs to scrub out all the calls directly made on session object and replace those with calls on Database object. This should be doe before Beta since we expect an uptick in usage once we mark the client as Beta and we want to people to use the preferred API. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Calling run_in_transaction twice causes the second call to fail It seems that the `_transaction` object in Session is not being reset once the transaction commits. This leads to a "Transaction is already committed" error. Here is a simple code to demonstrate this: ```python def run_txn(): from google.cloud import spanner spanner_client = spanner.Client() instance_id = 'your-instance' instance = spanner_client.instance(instance_id) database_id = 'example-db' database = instance.database(database_id) def f(t): t.insert_or_update( table="Singers", columns=('SingerId', 'FirstName'), values = [(6, "A"),]) database.run_in_transaction(f) database.run_in_transaction(f) if __name__ == '__main__': run_txn() ``` The error that is raised is: ```python Traceback (most recent call last): File "txn.py", line 17, in <module> run_txn() File "txn.py", line 14, in run_txn database.run_in_transaction(f) File "/usr/local/google/home/vikask/venvs/pythonq/local/lib/python2.7/site-packages/google/cloud/spanner/database.py", line 379, in run_in_transaction return session.run_in_transaction(func, *args, **kw) File "/usr/local/google/home/vikask/venvs/pythonq/local/lib/python2.7/site-packages/google/cloud/spanner/session.py", line 309, in run_in_transaction txn.commit() File "/usr/local/google/home/vikask/venvs/pythonq/local/lib/python2.7/site-packages/google/cloud/spanner/transaction.py", line 104, in commit self._check_state() File "/usr/local/google/home/vikask/venvs/pythonq/local/lib/python2.7/site-packages/google/cloud/spanner/transaction.py", line 46, in _check_state raise ValueError("Transaction is already committed") ValueError: Transaction is already committed ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: Support for "headers" configuration in haproxy.yaml? Hi all, I'm interested in passing a custom header to my HAProxy integration in `haproxy.yaml`, like this: ``` instances: - name: haproxy url: http://localhost:3000 headers: service-route: haproxy-stats ``` However, that [doesn't appear to be supported](https://github.com/DataDog/integrations-core/blob/master/haproxy/check.py#L160). Any chance something like this could be added, or ideas for a workaround? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: S3ToSnowflakeTransfer enforces usage of schema parameter Unlike all other Snowflake operators, S3ToSnowflakeTransfer requires the usage of schema instead of letting it be an optional variable that when passed would be used, and if not, then connection metadata is used. I can be assigned on this if needed. Keeping this up here so this doesn't go unnoticed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: qtconsole drag target? Having recently switched from IPython on osx terminal to qtconsole, I miss the "drag a file from finder to get full path in terminal" feature. Is something along these lines planned? More generally is some kind of drag and drop from/to qtconsole planned? Thanks Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: [mpl and latex circuit drawer] The box needs to extend over the classical registers as well when an instruction has classical parameters _Originally posted by @ajavadia in https://github.com/Qiskit/qiskit-terra/issues/2973#issuecomment-521635150_ > No mpl and latex also need to be fixed. The box needs to extend over the classical registers as well. But at least they draw something. I would say text is priority since that's the default drawer. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Add the ability to disable/enable extensions The `ignorePlugins` approach is not as effective as disabling, since the plugin will still be loaded if it is required by another plugin. We can add the ability to disable plugins, where a plugin is considered enabled if it is installed and does not have `disabled: false` metadata. These will be handled by not registering the plugin in the `index.js` if the plugin is in the list of disabled plugins. The plugin itself will still be in the bundle, so this will not require a rebuild. cc @minrk who asked for 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 googleapis/google-cloud-python codebase. Here's the problem: Spelling Error (_medical_likeliehood) _medical_likeliehood -> _medical_likelihood https://github.com/GoogleCloudPlatform/google-cloud-python/blob/b28a4eb667ae08c3f4dcf9af891ed4931884989c/vision/google/cloud/vision/safe_search.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: Link to "coverage" directly from API sidebar This vuepress enhancement will allow it, but depends on #770: https://github.com/vuejs/vuepress/pull/1534 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Changing contents of a wrap file doesn't trigger a rebuild of the subproject. **Describe the bug** If I have a project with a wrap file and I change some information in the file (such as version), that isn't picked up by ninja to make meson run configure again. **To Reproduce** I don't think a reproducer is needed, but if one is, I can cook it up on request. **Expected behavior** ninja will trigger a meson reconfiguration, which will pick up differences in the wrap file. **system parameters** * Native build * Ubuntu 20.04 * python 3.8 * meson master * samurai In case this is intended behavior, I think it should be documented (or I missed it in the docs :c ) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the kubeflow/pipelines codebase. Here's the problem: Crate VolumeOP from k8s_resource error **What happened:** when I run ``` dsl.VolumeOP(k8s_resource=my_vpc) ``` ``` Raises: ValueError: if k8s_resource is provided along with other arguments ``` I think the reason is : ``` if "k8s_resource" in kwargs: if resource_name or size or storage_class or modes or annotations: raise ValueError("You cannot provide k8s_resource along with " "other arguments.") ``` ``` def __init__(self, resource_name: str = None, size: str = None, storage_class: str = None, modes: List[str] = VOLUME_MODE_RWM, annotations: Dict[str, str] = None, data_source=None, **kwargs): ``` but the mode has a default value sdk/python/kfp/dsl/_volume_op.py **What did you expect to happen:** I think, I should only put k8s_resource and name in it. **What steps did you take:** [A clear and concise description of what the bug is.] **Anything else you would like to add:** [Miscellaneous information that will assist in solving the issue.] Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Client.queue_status info gets confused by retried tasks The Hub doesn't get notified of tasks that fail on an engine but are awaiting resubmission, so it thinks the task is perpetually pending on the engine on which it failed. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Allow passing a list of File objects to custom_target Currently the following code fails with a python assertion about unknown type: ```meson foo = custom_target( 'foo', input : [files('foo'), files('bar')], output : 'foo.h', command : [my_prog, '@INPUT0@', '@INTPUT1@', '-o', '@OUTPUT@'], ) ``` However, replacing `[files('foo'), files('bar')]` with `files('foo') + files('bar')` does work. So this is probably pretty trivial to fix. I'll have a look at it soon if on one else gets to it before then. link_with: isn't flattened extracted from xserver meson.build, with the maze of conditionals removed for clarity: ```meson project('test', 'c') libxserver_dri3 = [] libxserver = [ libxserver_dri3 ] executable('Xephyr', 'xephyr.c', link_with: [ libxserver ]) ```` fails with ``` Meson encountered an error in file meson.build, line 6, column 0: Link target [] is not 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 conan-io/conan codebase. Here's the problem: Conan server can't be setup in the subdirectory of a domain I want to run Conan at, say, `https://example.com/conan` behind Apache. Currently, there is no way to do this. If I set `host_name` to `example.com/conan` and `port` to `443`, the Conan client will try to upload to `https://example.com/conan:443/v1/...` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: meson test --suite SUITE does not work? Hi, I cannot find the way to use the option `--suite` of `meson test` I have defined some tests in this way ``` test('test_name', executable, suite: '1D') ``` everything works fine if I run ``` meson test ``` or ``` ninja test ``` but if I run ``` meson test --suite '1D' ``` it tells me ``` No suitable tests defined. ``` is the option `--suite` still working? how can I select just a subset of tests to be executed? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Remove `DateSchedule` and `NoSchedule` Prefect currently supports two schedule classes that are probably not useful: `DateSchedule` (a list of datetimes) and `NoSchedule` (no schedule at all). In Prefect's original design, schedules were created when the flow was created and was therefore impossible to change, so it was desirable to have 1. a uniform interface for accessing the schedule's information, even if there wasn't a schedule 1. a way to specify that the flow should run on a few (off-schedule) dates Now, with @dylanbhughes's great observation that schedules should/can be modified after the flow is created, we may do schedule examination and validation at any time. `NoSchedule` can simply be replaced by `None` and `DatesSchedule` can be replaced by using Prefect's API to simply schedule flow runs by hand on the appropriate dates. Therefore, the only built-in schedule classes should handle ongoing, regular schedules. Currently we have `CronSchedule` and `IntervalSchedule` and I can imagine more complex versions (like `BusinessDaySchedule`). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Switch build_type with python api On our build server we usually do something like ``` pip install --upgrade conan ``` ```python api, _, _ = ConanAPIV1.factory() api.create(..., settings=...+["build_type=Release"]) api.upload... api.create(..., settings=...+["build_type=Debug"]) api.upload... ``` That worked well until Dec 19, 2018 (conan 1.10.2). Since the following conan update (must be 1.11.0), the second ```api.create()``` always failed. It prints ``` Configuration: [settings] arch=x86_64 arch_build=x86_64 build_type=Debug compiler=Visual Studio compiler.runtime=MD compiler.version=15 ... ``` ```compiler.runtime=MD``` is wrong, should be ```MDd```. It should be automatically set by conan based on the ```build_type```. It only happens when the debug build is invoked after the release build. Workaround: Recreate the api before switching ```build_type```. - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Separate out tableau provider from salesforce **Description** Tableau provider is currently embedded into Salesforce, but it should be removed to a separate 'tableau' provider.. This should lead to: * 1.0.1 version of the Salesforce provider * 1.0.0 version of the Tableau provider Seems that Salesforce provider might be backwards-compatible with deprecation warnings: * The Tableau classes from the Salesforce provider should be moved to Tableau * The old Tableau classes in the Salesforce provider should get a deprecation warning and import the classes from the Tableau one * The Salesforce provider should have a "hard" dependency on "tableau" provider (no extra needed) **Use case / motivation** Dicussion [here](https://lists.apache.org/thread.html/rb1828485df78df7649000ff586a749ab685635f606b394386e1be808%40%3Cdev.airflow.apache.org%3E) has shown that the tableau provider is really independent from Salesforce and we have already similar examples (slack for example). Also it makes sense not to change provider structure when ownership of a service changes. **Related Issues** #13595 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: In storage.connection.Connection.api_request, make response checking more robust From TODO: ``` python # TODO: Add better error handling. # TODO: Better checking on this header for JSON. ``` See [`storage.connection.Connection.api_request`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/connection.py#L220) for relevant code and #146 for some context. `git blame` output ``` b7f1b774 (JJ Geewax 2014-01-29 18:02:29 -0500 220) # TODO: Add better error handling. b7f1b774 (JJ Geewax 2014-01-29 18:02:29 -0500 227) # TODO: Better checking on this header for JSON. ``` In storage.connection.Connection.api_request, make response checking more robust From TODO: ``` python # TODO: Add better error handling. # TODO: Better checking on this header for JSON. ``` See [`storage.connection.Connection.api_request`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/connection.py#L220) for relevant code and #146 for some context. `git blame` output ``` b7f1b774 (JJ Geewax 2014-01-29 18:02:29 -0500 220) # TODO: Add better error handling. b7f1b774 (JJ Geewax 2014-01-29 18:02:29 -0500 227) # TODO: Better checking on this header for 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: Implement fast tokenizer for Big Bird models This issue is similar to #10498 ## Your contribution I can help with the implementation. Can someone provide me the high-level steps ? @stefan-it Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: set_custom_completer seems to be a no-op In [interactive_shell.py](https://github.com/ipython/ipython/blob/a2685d78f2403f84e6cb915ae11a4f6033ccc5f6/IPython/core/interactiveshell.py#L2034), `set_custom_completer` does self.Completer.matchers.insert(pos,newcomp) Looking at the source code of IPCompleter, though, [matchers](https://github.com/ipython/ipython/blob/eed56ba34aa3856b5726d60eedfe60a17e1c26c5/IPython/core/completer.py#L1114) seems to be a property returning an ephemeral list, so the insert is a no-op. To reproduce: import IPython def foo(*args, **kwargs): pass print(len(IPython.get_ipython().Completer.matchers)) IPython.get_ipython().set_custom_completer(foo, 0) print(len(IPython.get_ipython().Completer.matchers)) This should print the same number twice (in my version, 5, 5) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Remove newline_with_copy_margin. It has been deprecated for at least 2 versions. We can remove this. _Originally posted by @Carreau in https://github.com/ipython/ipython/pull/13888#discussion_r1071293652_ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Slow tokenizers return overflowing tokens in reversed order When implementing the slow tokenizer for LayoutLMv2, I spotted some weird behaviour for slow tokenizers when specifying `return_overflowing_tokens = True`. Namely, in that case, overflowing tokens are returned in reversed order, and no padding is performed, unlike fast tokenizers. Small example: ``` from transformers import BertTokenizer tokenizer = BertTokenizer.from_pretrained("bert-base-uncased") text = "hello my name is niels" encoding = tokenizer(text, padding=True, max_length=6, truncation=True, return_overflowing_tokens=True) ``` When checking out the encoding, it looks as follows: ``` print(tokenizer.decode(encoding.input_ids)) # prints '[CLS] hello my name is [SEP]' print(tokenizer.decode(encoding.overflowing_tokens)) # prints '##els ni' ``` As you can see, the overflowing tokens are returned in reversed order, and they are not padded up to the max length of 6 tokens. In contrast, `BertTokenizerFast` does everything correctly: ``` from transformers import BertTokenizerFast tokenizer = BertTokenizerFast.from_pretrained("bert-base-uncased") text = "hello my name is niels" encoding = tokenizer(text, padding=True, max_length=6, truncation=True, return_overflowing_tokens=True) ``` returns ``` print(tokenizer.decode(encoding.input_ids[0])) # prints '[CLS] hello my name is [SEP]' print(tokenizer.decode(encoding.input_ids[1])) # prints '[CLS] niels [SEP] [PAD] [PAD]' ``` So I guess we have some work to do for slow tokenizers to work correctly. cc @LysandreJik @SaulLu @n1t0 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: todo: enable CI to run torchdynamo/tensorrt tests @ydshieh, let's talk about instrumenting one of the jobs to run tests for torchdynamo/tensorrt It's quite a handful of things to build, the instructions are in the OP: https://github.com/huggingface/transformers/pull/17765 I installed the environment locally, the tests work. I didn't want to get in the way of the PR, so doing it in a separate task. thank you. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Passing a dummy dependency to library() doesn't work Trying to pass a dummy dependency to library() I saw that it is suggested in the dependency() docs that one creates a dependency with name "" and required: false. ``` project('glib', 'c', 'cpp', version : '2.55.0', meson_version : '>= 0.44.0', ) thread_dep = dependency('', required : false) library('glib-2.0', dependencies: [thread_dep]) ``` but this results in the following error: ``` Meson encountered an error in file meson.build, line 6, column 0: Argument is of an unacceptable type 'Dependency'. Must be either an external dependency (returned by find_library() or dependency()) or an internal dependency (returned by declare_dependency()). ``` What am I doing wrong? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Measurement instruction create qobj with wrong memory slot number <!-- ⚠ 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? All pulse jobs including measurement instruction fail. ### Steps to reproduce the problem ### What is the expected behavior? `max_memory_slot` in qobj should be configured properly. ### Suggested solutions https://github.com/Qiskit/qiskit-terra/blob/01bdfe88c15a93fa7548edc0db0e33b287cc8c98/qiskit/assembler/assemble_schedules.py#L73-L74 here the assembler estimates `max_memory_slot` smaller than the actual configuration because `slot.index` starts from zero and maximum index is smaller than number of `mem_slots`. using `slot.index + 1` or `len(instruction.mem_slots)` will solve the problem. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Refactor `EquivalenceLibrary` to internally be a graph ### What should we add? In #7211 we refactored the search algorithm in the `BasisTranslator` transpiler pass to perform a dijkstra search using retworkx. To accomplish this the pass had to generate a retworkx graph object from the `EquivalenceLibrary` on demand and then perform the dijkstra search over that graph. However, it would be better if the equivalence library itself just internally wrapped a graph object. The data in the `EquivalenceLibrary` is inherently a graph and using a graph representation for the internal data model makes sense and will also improve the performance of the basis translator because there will be no overhead for constructing the graph object. The output of this issue should be to change the internal `_map` attribute of the `EquivalenceLibrary` with a `retworkx.PyDiGraph` object built as the basis translator does during it's basis search: https://github.com/Qiskit/qiskit-terra/blob/8a3e760ffaf6dcd06c0a0e04f13612fdefd9ab3c/qiskit/transpiler/passes/basis/basis_translator.py#L470-L502 We should maintain the same public API that exists on the class, but just change the internal data model (and likely add helper functions to access the graph object). Then after we update the `EquivalenceLibrary` in a second pull request we can update the `BasisTranslator` to leverage the internal graph object instead of creating it on demand for each search. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Small typo https://github.com/huggingface/transformers/blob/4475f1dc2aa7153adb5e66b361c48aed1321fe3d/examples/pytorch/question-answering/run_qa.py#L423 On this line, the word 'agument' has a typo. I believe it should be argument. While we are at it, I think changing it to 'the argument' would be better 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: Indicate attempted allocation size when constructing an array gives a MemoryError I've seen multiple questions now of the form "why does this give a MemoryError" when the reason is the user ended up allocating a bigger array than expected. It would be helpful to include the shape and dtype in the error message. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Trace: needs 'synth.py' Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Object returned by executable() does not expand to full path when used as argument in test() http://mesonbuild.com/Reference-manual.html#build-target-object says > full_path() returns a full path pointing to the result target file. NOTE: In most cases using the object itself will do the same job as this and will also allow Meson to setup inter-target dependencies correctly. Please file a bug if that doesn't work for you. ... so I'm filling this. ```meson exe = executable('systemd-tmpfiles', 'src/tmpfiles/tmpfiles.c', include_directories : includes, link_with : [libshared], dependencies : [libacl], install_rpath : rootlibexecdir, install : true, install_dir : rootbindir) public_programs += [exe] test('test-systemd-tmpfiles', test_systemd_tmpfiles_py, args : exe) ``` this expands to ``` --- command --- /home/zbyszek/src/systemd-work/src/test/test-systemd-tmpfiles.py systemd-tmpfiles ``` i.e. it runs the system-installed binary instead of the one I want to test. Using `exe.full_path()` works fine, but it will break dependency calculation when #1704 is resolved. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: meson is failing to detect boost libraries suffixed with '-mt' on mac On macports boost library names look like '/opt/local/lib/libboost_program_options-mt.dylib'. Boost builds are finding boost, but then saying that the modules are not found. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Whether instantiation is premature? https://github.com/huggingface/transformers/blob/515ed3ad2a11a6b0cd9800b2ad4d3b313fdaea8c/src/transformers/feature_extraction_utils.py#L429 For example my code is: ```python3 processor = LayoutXLMProcessor.from_pretrained('microsoft/layoutxlm-base', apply_ocr=False) ``` I don't need to use OCR, but pytesseract still has to be installed. Would it be a good solution to this kind of problem if the parameters were updated with kwargs before instantiation？ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Make sure deep copy is correctly performed in datastore.query.Query._clone From TODO: ``` python # TODO(jjg): Double check that this makes sense... ``` See [`datastore.query.Query._clone`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/datastore/query.py#L63) for relevant code and #146 for some context. `git blame` output ``` dec0e7c6 (JJ Geewax 2014-01-28 15:15:40 -0500 63) # TODO(jjg): Double check that this makes sense... ``` Make sure deep copy is correctly performed in datastore.query.Query._clone From TODO: ``` python # TODO(jjg): Double check that this makes sense... ``` See [`datastore.query.Query._clone`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/datastore/query.py#L63) for relevant code and #146 for some context. `git blame` output ``` dec0e7c6 (JJ Geewax 2014-01-28 15:15:40 -0500 63) # TODO(jjg): Double check that this makes sense... ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Can't downgrade python: "No module named 'distutils.spawn'" Issue (conda-forge issue: https://github.com/conda-forge/conda-forge.github.io/issues/805) I'm not sure whether it is a CF or conda issue, but it only occurs after running conda update --all with conda-forge channel added. Here is a Dockerfile to reproduce: ``` FROM continuumio/miniconda3 RUN conda config --add channels conda-forge && \ conda config --set channel_priority strict && \ conda update --all RUN conda install python=2.7 ``` Fails with: ``` Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done ERROR conda.core.link:_execute(637): An error occurred while installing package 'conda-forge::ipaddress-1.0.22-py_1'. ModuleNotFoundError("No module named 'distutils.spawn'") Attempting to roll back. Rolling back transaction: ...working... done ModuleNotFoundError("No module named 'distutils.spawn'") () ``` The failing package varies based on the python version downgraded to, with python=3.6: ``` ERROR conda.core.link:_execute(637): An error occurred while installing package 'conda-forge::tqdm-4.32.2-py_0'. ModuleNotFoundError("No module named 'distutils.spawn'") Attempting to roll back. Rolling back transaction: ...working... done ModuleNotFoundError("No module named 'distutils.spawn'") () ``` Tried both with and without conda config --set channel_priority strict, same outcome. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: CPT won't work with Conan 1.14.0-dev To help us debug your issue please explain: Conan Version: 1.14.0-dev Hi! After to merge the PR #4713 and exclude the test module from Conan installer, CPT will not be able to run its tests because we re-use many of Conan test tools there. How could we install the test module only when required? I've searched some options, and found some possible solutions in the internet: - Create multiple eggs. One for Conan, One for test. Very complex IMO - Use setuptools namespaces. I only read that is support on python +3.3. - Package all things as before, and remove only the test folder after to install. Most simple solution I think. I made this workaround some time ago: https://github.com/uilianries/conan-ldap-authentication/blob/master/setup.py#L55 To install the test_folder, we can use extra. For now `conan[test]` only installs the development requirements, but we could change to skip the folder deletion. You can check the log [here]( https://travis-ci.org/conan-io/conan-package-tools/jobs/506451807#L684). Regards! - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [ ] I've specified the Conan version, operating system version and any tool that can be relevant. - [ ] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Combining default_options : ['cpp_std=c++2a', 'cuda_std=c++17'] breaks nvcc I'm trying to compile a project where the host code (*.cpp) uses c++20, but the device code (*.cu) uses c++17, since that is the latest version currently supported by nvcc. **Describe the bug** In `meson.build`, I tried this: ``` project('C++ std', 'cpp', 'cuda', version : '1.0.0', default_options : ['cpp_std=c++2a', 'cuda_std=c++17']) ``` but `nvcc` fails because it was called with `--std=c++17 -std=c++2a`: ``` meson compile -v ninja: Entering directory `.' [1/2] nvcc -Xcompiler=-Wall -Xcompiler=-Winvalid-pch -Xcompiler=-Wnon-virtual-dtor --std=c++17 -std=c++2a -g -G -g -I.. -I. -Iprog.p -Iprog.p -o prog.p/main.cu.o -c ../main.cu FAILED: prog.p/main.cu.o nvcc -Xcompiler=-Wall -Xcompiler=-Winvalid-pch -Xcompiler=-Wnon-virtual-dtor --std=c++17 -std=c++2a -g -G -g -I.. -I. -Iprog.p -Iprog.p -o prog.p/main.cu.o -c ../main.cu nvcc fatal : Value 'c++2a' is not defined for option 'std' ninja: build stopped: subcommand failed. ``` **To Reproduce** Start with cuda example [6 std](https://github.com/mesonbuild/meson/tree/master/test%20cases/cuda/6%20std), but use this: ```project('C++ std', 'cpp', 'cuda', version : '1.0.0', default_options : ['cpp_std=c++2a', 'cuda_std=c++17'])``` **Expected behavior** I expected that `gcc` would be invoked with c++2a and `nvcc` would be invoked with c++17. If I manually remove the spurious `-std=c++2a` then `nvcc` succeeds. **system parameters** This is a native build on 5.4.101-1-MANJARO with Meson 0.57.1. 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: [FR] support batching rule for np.cumprod It is strange to me that we have batching rule for `reduce_window` but `np.cumprod` raises `NotImplementedError: Batching rule for 'reduce_window' not implemented`. Here is a simple repro code ```python from jax import vmap import jax.numpy as np def f(x): return np.cumprod(x, axis=-1) vmap(f)(np.ones((3, 3))) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery client.list_datasets() fails when the project has no datasets Found while doing clean-up of a project after reproducing #1419 Reproduce: ``` python In [11]: client.list_datasets() --------------------------------------------------------------------------- KeyError Traceback (most recent call last) <ipython-input-11-fed4650eba20> in <module>() ----> 1 client.list_datasets() gcloud-python/gcloud/bigquery/client.pyc in list_datasets(self, include_all, max_results, page_token) 89 query_params=params) 90 datasets = [Dataset.from_api_repr(resource, self) ---> 91 for resource in resp['datasets']] 92 return datasets, resp.get('nextPageToken') 93 KeyError: 'datasets'`` ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: unhide .git_commit_info.ini .git_commit_info is installed into system paths by setup.py some security audit tools do not like this. I see no reason why this file should be hidden, can the dot be removed? see http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=663256 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: DOC,BLD: Switch to `xelatex` engine for latex docs? When building the latex/pdf version of the documentation, sphinx is currently configured to use `pdflatex` (the default) to build the pdfs of the user/reference manuals. There are several places in the documentation where the use of unicode characters causes `inputenc` warnings when building the pdf. In some cases these can be resolved by ensuring that extra latex packages are installed (e.g. `texlive-langgreek` adds the necessary mappings for some Greek Unicode characters), but in other cases (e.g. U+22EE vertical dots) it is more difficult to find an appropriate package (or the mapping can be done manually via `\DeclareUnicodeCharacter`). In addition, there seem to be some URL ref problems that are avoided by `xelatex` (see sphinx-doc/sphinx#7723). Please share any thoughts and possible pros/cons of switching to `xelatex` for the NumPy latex/pdf docs. Note that sphinx provides a `latex_engine` configuration option that makes this simple to try. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: transpile(..., initial_layout=...) is ignored if there is no coupling map <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: all - **Operating system**: all ### What is the current behavior? ```python from qiskit import QuantumCircuit from qiskit.compiler import transpile from qiskit.transpiler import CouplingMap circ = QuantumCircuit(2) circ.h(0) circ.cx(0,1) transpile(circ, routing_method='basic', initial_layout=[1, 0]).draw() ``` ``` ┌───┐ q_0: ┤ H ├──■── └───┘┌─┴─┐ q_1: ─────┤ X ├ └───┘ ``` Notice that, when a coupling map is provided, the output is: ```python transpile(circ, routing_method='basic', initial_layout=[1, 0], coupling_map=[[1,0], [0,1]]).draw() ``` ``` ┌───┐ q_1 -> 0 ─────┤ X ├ ┌───┐└─┬─┘ q_0 -> 1 ┤ H ├──■── └───┘ ``` ### What is the expected behavior? `transpile` should apply the layout, even when there is no coupling map. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: compiler.has_argument doesn't work with clang for warnings Try this meson.build (github wouldn't let me upload directly here) https://gist.github.com/iainlane/2935fba6bdd02214eb2de4212573aa3b with `CC=gcc` and then `CC=clang`. The option is unknown, and yet the test passes with clang. In `meson-log.txt` we can see why: ``` Running compile: Command line: clang /tmp/tmph4afoz0x.c -Wzzzzzzzz -c· Code: int i; Compiler stdout: warning: unknown warning option '-Wzzzzzzzz' [-Wunknown-warning-option] 1 warning generated. Compiler stderr: · Compiler for c supports argument -Wzzzzzzzz: YES Meson encountered an error in file meson.build, line 6, column 8: Error encountered: buggy ``` clang is only outputting this as a warning. There's a clang-specific flag `-Werror=unknown-warning-option`, which meson could pass. It's clang-specific because it makes gcc error. Or meson could pass `-Werror` for `has_argument`, which I hope works for all compilers, but maybe it's less safe to do so for `has_argument` for some reason I haven't thought of yet - like a value a user could pass that generates a warning but is actually okay (deprecations?). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: storage: some acl methods fail on empty (private) acl Easiest to set this up with `gsutil`. Please notice the verbose message. ``` $ gsutil defacl set private gs://bucket Setting default object ACL on gs://bucket/... $ gsutil defacl get gs://bucket No default object ACL present for gs://bucket. This could occur if the default object ACL is private, in which case objects created in this bucket will be readable only by their creators. [] ``` In particular `acl.reload` and `acl.save` don't work, probably others too. ``` Python >>> acl = storage.acl.DefaultObjectACL(bucket) >>> acl.get_entities() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/user/.local/lib/python2.7/site-packages/gcloud/storage/acl.py", line 358, in get_entities self._ensure_loaded() File "/home/user/.local/lib/python2.7/site-packages/gcloud/storage/acl.py", line 192, in _ensure_loaded self.reload() File "/home/user/.local/lib/python2.7/site-packages/gcloud/storage/acl.py", line 409, in reload for entry in found['items']: KeyError: 'items' >>> acl.get_entities() [] >>> acl.reload() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/user/.local/lib/python2.7/site-packages/gcloud/storage/acl.py", line 409, in reload for entry in found['items']: KeyError: 'items' >>> acl.save() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/user/.local/lib/python2.7/site-packages/gcloud/storage/acl.py", line 453, in save for entry in result[self._URL_PATH_ELEM]: KeyError: 'defaultObjectAcl' ``` This works fine if the default ACL is set to `project-private` rather than `private`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: regression: nuisance warning for gfortran @mensinda git bisect reveals b1b8a7a7e356297741c3c8e5996928ff244578c8 is the first bad commit that introduced spurious warning: ``` WARNING: No include directory found parsing "gfortran -xfortran -E -v -" output ``` This occurs with Linux and Windows (at least) with at least Gfortran 7 and 9. This occurs for any trivial Fortran target. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: gnome.generate_gir() is failing with address sanitizer. Compiling fwupd with: meson .. -Db_sanitize=address ...completes until it gets to the `g-ir-scanner` calls. This returns: [1/4] 'Generating Fwupd-1.0.gir with a custom command.' FAILED: libfwupd/Fwupd-1.0.gir '/usr/bin/g-ir-scanner' '../libfwupd/fwupd-client.c' '../libfwupd/fwupd-enums.c' '../libfwupd/fwupd-enums.h' '../libfwupd/fwupd-error.c' '../libfwupd/fwupd-remote.c' '../libfwupd/fwupd-result.c' '-I/usr/include/gobject-introspection-1.0' '-I/usr/include/glib-2.0' '-I/usr/lib64/glib-2.0/include' '-pthread' '--no-libtool' '--namespace=Fwupd' '--nsversion=1.0' '--warn-all' '--output' 'libfwupd/Fwupd-1.0.gir' '-I/home/hughsie/Code/fwupd/libfwupd' '-I/home/hughsie/Code/fwupd/build/libfwupd' '-I./libfwupd/..' '-I../libfwupd/..' '--include=GObject-2.0' '--cflags-begin' '-fstack-protector-strong' '-Wwrite-strings' '--cflags-end' '--symbol-prefix=fwupd' '--identifier-prefix=Fwupd' '--pkg-export=fwupd' '..' '-I/usr/include/gio-unix-2.0/' '-I/usr/include/glib-2.0' '-I/usr/lib64/glib-2.0/include' '-pthread' '-I/usr/include/libsoup-2.4' '-I/usr/include/libxml2' '-L/home/hughsie/Code/fwupd/build/libfwupd' '--extra-library=gio-2.0' '--extra-library=gobject-2.0' '--extra-library=glib-2.0' '--extra-library=soup-2.4' '--library' 'fwupd' ==6599==ASan runtime does not come first in initial library list; you should either link runtime to your application or manually preload it with LD_PRELOAD. Command '[u'/home/hughsie/Code/fwupd/build/tmp-introspectKke532/Fwupd-1.0', u'--introspect-dump=/home/hughsie/Code/fwupd/build/tmp-introspectKke532/functions.txt,/home/hughsie/Code/fwupd/build/tmp-introspectKke532/dump.xml']' returned non-zero exit status 1 I think the gnome module needs to remove the address sanitization flags before passing them to `/usr/bin/g-ir-scanner` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: unable to complete remote connections for two-process steps to reproduce: ``` ipython console --ip=0 ``` and then, try to connect to it from another window: ``` ipython console --exiting ``` and it will stall. If you don't specify --ip, everything works, because the local code goes through a slightly different code path. Just opening this now so @minrk has a thing to reference as he submits the fix Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: CUDA lacks support for external flags and especially for -ccbin (aka --compiler-bindir) flag **Describe the bug** A clear and concise description of what the bug is. **To Reproduce** Please include your `meson.build` files, preferably as a minimal toy example showing the issue. You may need to create simple source code files (don't include private/proprietary code). **Expected behavior** A clear and concise description of what you expected to happen. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.) * what Python version are you using e.g. 3.8.0 * what `meson --version` * what `ninja --version` if it's a Ninja build Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Mention new dev requirements somewhere in the docs (or make more prominent) While trying to build the master branch of ipython, I noted the following warning: ``` Failed to build css sourcemaps: [Errno 2] No such file or directory ``` Tracking this down in the source code, I eventually realized that this is because I don't have `lessc` or `invoke`. I figured out what LESS is in this context, but still am not sure what `invoke` is supposed to be. So it would be helpful if this were mentioned somewhere quite prominent in the dev docs. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Can't use None (anymore) in checkpoint_callback ## 🐛 Bug using None in checkpoint_callback now errors out ``` -- Process 0 terminated with the following error: Traceback (most recent call last): File "/opt/conda/lib/python3.6/site-packages/torch/multiprocessing/spawn.py", line 20, in _wrap fn(i, *args) File "/opt/conda/lib/python3.6/site-packages/pytorch_lightning/trainer/distrib_data_parallel.py", line 562, in ddp_train q.put(self.checkpoint_callback.best_model_path) AttributeError: 'NoneType' object has no attribute 'best_model_path' ``` ### To Reproduce `trainer = Trainer(checkpoint_callback=None)` Ran into this issue from upgrading to masters, was using masters from a few commits ago before Edit: `False` casuses the same error 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 googleapis/google-cloud-python codebase. Here's the problem: PubSub 0.37.1 Subscription Client is Broken Hi, I encountered the following error. ``` File "/******/PubsubAccessor.py", line 129, in create_subscriber_client credentials=credentials, File "/******/lib/python2.7/site-packages/google/cloud/pubsub_v1/gapic/subscriber_client.py", line 188, in __init__ self.iam_policy_stub = (iam_policy_pb2.IAMPolicyStub(channel)) File "/******/lib/python2.7/site-packages/google/iam/v1/iam_policy_pb2.py", line 344, in __init__ self.SetIamPolicy = channel.unary_unary( AttributeError: 'NoneType' object has no attribute 'unary_unary' ``` This problem did not occur in 0.35.4. I checked the commit log and found a strange part. https://github.com/GoogleCloudPlatform/google-cloud-python/commit/371333a51165e99d4d02876b1ef133618485b6fc#diff-e221f62050dd418b49b113c7909d0ea2L129 Channel initialization processing has been deleted. https://github.com/GoogleCloudPlatform/google-cloud-python/commit/371333a51165e99d4d02876b1ef133618485b6fc#diff-e221f62050dd418b49b113c7909d0ea2R188 However, implementations using channel remain. Thanks, Kazutomo Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: BUG?: 1.14 printing requires gc run to clean up all references to printed array Dear NumPy devs, one of our NumPy integration doctests in Cython has been failing on travis for a couple of weeks. I checked the changelog of CPython and Cython from the time when it started, but neither showed anything remotely related. However, the failing travis nodes use NumPy 1.14, and since there were PyPy related changes in that release, I suspect that this could be the cause. I only see the failures in Py3.5+, and they started in the CPython-dev integration test runs for py3.6-dev and py3.7-dev on travis, however those are built (NumPy is pre-installed in them). Here's an example of a [failing run](https://travis-ci.org/cython/cython/builds/342548198). The now failing [test](https://github.com/cython/cython/blob/2e1066dcfc1c4ccbfaa0babf3cbe9f58640431fd/tests/memoryview/numpy_memoryview.pyx#L415-L423) is simply this: ``` cdef int[:, :] array = create_array((4, 5), mode="c", use_callback=True) print(np.asarray(array)[::2, ::2]) ``` Meaning, there is a buffer provider (not NumPy), we take a Cython memory view from it, and then wrap that with `numpy.asarray()` to print it. The difference is when the buffer provider will be deallocated. Previously, it was cleaned up immediately at function exit (and we print a confirmation in a cleanup callback when that happens). With the new NumPy version, it is no longer cleaned up immediately, but only at the next GC run. I added a conditional GC call to the test to trigger that and keep the test from failing (we didn't need a GC run before), but I thought I'd at least bring this change to your attention, in case it's unintentional. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: tensorboard logger should support remote directories ## 🚀 Feature Tensorboard allows you to write to gc, s3, hdfs, etc by specifying paths with the right prefix e.g. `logDir='hdfs://path/to/logs/` However the lightning logger breaks this. see [tensorboard.py#L99](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/pytorch_lightning/loggers/tensorboard.py#L99) ### Motivation Training often occurs on remote clusters which don't persist the local disk at the time the job ends. The local disk is also not accessible from outside tools so tensorboard can not access the results while training is in progress. ### Pitch Replace all directory operations with some remote-aware tool. tensorboard itself provides a [gfile compatible handle .](https://github.com/tensorflow/tensorboard/blob/master/tensorboard/compat/tensorflow_stub/io/gfile.py) There are other options as well. tensorboard itself supports these things natively so maybe we can just get around doing any local file operations and leverage tensorboard lib to write remotely. ### Alternatives Some other option would be to write locally but add hooks to sync the logs to a remote storage. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Coverage report link is broken A 404 status code is returned when you try to navigate to the coverage report link. Most likely caused by the changes in https://github.com/PrefectHQ/prefect/pull/805 **cc:** @jlowin Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: 1D ``np.linalg.norm`` not preserving input dtype? I saw the [v1.14.0 release note](https://github.com/numpy/numpy/blob/master/doc/release/1.14.0-notes.rst#1d-nplinalgnorm-preserves-float-input-types-even-for-arbitrary-orders) saying: > 1D np.linalg.norm preserves float input types, even for arbitrary orders However, when I try the code on the release note, it does not behave as it says. ```py >>> import numpy as np >>> np.__version__ '1.14.0' >>> f32 = np.float32([1, 2]) >>> np.linalg.norm(f32, 2.0).dtype dtype('float32') >>> np.linalg.norm(f32, 2.0001).dtype dtype('float64') # it should be float32 on numpy 1.14? ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Refactor apitools legacy 'handle_http_exceptions' for sanity. The [apitools code which handles the various errors being raised when making a request](https://github.com/tseaver/gcloud-python/blob/streaming-strip_unused_features/gcloud/streaming/http_wrapper.py#L225-L276) is seriously awkward, and likely a bug magnet. Can you help me debug this systematically and explain your reasoning?