[System] You are an expert software 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: What's the correct way to use add_prefix_space for the fast RoBERTa tokenizer in 3.0.0/3.0.1? The documentation says we should pass this flag to **the encoding methods**. https://github.com/huggingface/transformers/blob/58cca47c16149e43d1b516623d59e3c5d97f695e/src/transformers/tokenization_roberta.py#L259-L260 However, the encoding methods don't take such an argument, and passing it in actually causes an error: ``` File "test.py", line 127, in func self.tokenizer.encode(token, add_special_tokens=False, add_prefix_space=True) File ".../transformers/tokenization_utils_base.py", line 1425, in encode **kwargs, File ".../transformers/tokenization_utils_base.py", line 1737, in encode_plus **kwargs, File ".../transformers/tokenization_gpt2.py", line 377, in _encode_plus return super()._encode_plus(*args, **kwargs) File ".../transformers/tokenization_utils_fast.py", line 420, in _encode_plus **kwargs, File ".../transformers/tokenization_gpt2.py", line 367, in _batch_encode_plus return super()._batch_encode_plus(*args, **kwargs) File ".../transformers/tokenization_utils_fast.py", line 313, in _batch_encode_plus raise ValueError(f"Keyword arguments {kwargs} not recognized.") ValueError: Keyword arguments {'add_prefix_space': True} not recognized. ``` Then, I assumed that this documentation was a typo and we should pass this argument to `__init__`. But why is it default to `False` in `__init__`? Don't we pretty much always need to add a prefix space? Does `from_pretrained` set it to `True` automatically? If not, should we always do `AutoTokenizer.from_pretrained(..., use_prefix_space=True)`? https://github.com/huggingface/transformers/blob/58cca47c16149e43d1b516623d59e3c5d97f695e/src/transformers/tokenization_roberta.py#L299-L314 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 install` broken with Windows MSI installer After having installed meson via the MSI installer, I get this when trying to run `meson install` (or `ninja install`): ``` F:\projects\mesontest\libfoo\buildwin>meson install Traceback (most recent call last): File "C:\python\lib\site-packages\cx_Freeze\initscripts\__startup__.py", line 14, in run File "C:\python\lib\site-packages\cx_Freeze\initscripts\Console.py", line 26, in run File "meson.py", line 29, in <module> File "mesonbuild\mesonmain.py", line 379, in main File "mesonbuild\mesonmain.py", line 283, in run File "mesonbuild\minstall.py", line 23, in <module> ImportError: cannot import name '__file__' ``` - the problem exists with `meson-0.47.1-32.msi`, also with `meson-0.47.0-32.msi` - works correctly with `meson-0.46.1-32.msi` - also works correctly when installing python and getting meson 0.47.1 via `pip3 install meson` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Method help popovers have become less useful in IPython 3.0.rc1 Forking from #7816 I've noticed that the help popover (i.e., what you get when you hit shit-TAB in side the text of a function call) now has a lot of information that is not very useful to the task of finding out the function signature for a method. I've particularly noticed this for Pandas Dataframes, though I assume the issue is more general than that. It's particularly annoying with DataFrames because the textual `__repr__` looks really bad, especially for large frames. (And also because I can never remember how to use their methods). Here's an example of what we used to get: ![screenshot 2015-02-19 10 38 29](https://cloud.githubusercontent.com/assets/315810/6273369/dc816412-b823-11e4-8a8b-e0aeea040d93.png) And here's what we get now: ![screenshot 2015-02-19 10 37 44](https://cloud.githubusercontent.com/assets/315810/6273378/e5146200-b823-11e4-86ad-070859bd5e80.png) (I should note that putting together this issue caused me to note how much more attractive I find the 3.0/Jupyter styling. Well done!) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Install of older python (revert) from newer yields error Build log at https://travis-ci.org/conda/conda-build/jobs/160031372 2.7 and 3.5 builds complete just fine - but they start with (approximately) the python version that they are using for the testing. Gist of the situation is that we start with a 3.5 installation, and then want to go back to a 3.4 installation for testing purposes. With conda 4.1.11, this works. For 4.2.6, it does not. I have not dug in further, but would be happy to do so. Install of older python (revert) from newer yields error Build log at https://travis-ci.org/conda/conda-build/jobs/160031372 2.7 and 3.5 builds complete just fine - but they start with (approximately) the python version that they are using for the testing. Gist of the situation is that we start with a 3.5 installation, and then want to go back to a 3.4 installation for testing purposes. With conda 4.1.11, this works. For 4.2.6, it does not. I have not dug in further, but would be happy to do so. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Wrong order of arguments to loss function in template example for finetuning Hi, I observed that the order for the loss function in the example for finetuning is switched. Instead of `self.loss(y_true, y_logits)` it should be `self.loss(y_logits, y_true)` Below is the exact location of the error: https://github.com/PyTorchLightning/pytorch-lightning/blob/bd49b07fbba09b1e7d8851ee5a1ffce3d5925e9e/pl_examples/domain_templates/computer_vision_fine_tuning.py#L246 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Hostname lost after rebuilding linked container Say I have 2 containers, one is linked to the other: ``` foo: image: php:5.6.10-apache links: - bar bar: image: php:5.6.10-apache ``` I can now start the containers, check for the container ID of `foo` and ping `bar` from `foo`: ``` $ docker-compose up -d Creating dct_bar_1... Creating dct_foo_1... $ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 6ddb60dd97dd php:5.6.10-apache "apache2-foreground" 59 seconds ago Up 1 seconds 80/tcp dct_foo_1 809a937f3913 php:5.6.10-apache "apache2-foreground" 59 seconds ago Up 1 seconds 80/tcp dct_bar_1 $ docker exec -ti 6ddb6 ping bar PING bar (172.17.0.44): 56 data bytes 64 bytes from 172.17.0.44: icmp_seq=0 ttl=64 time=0.061 ms 64 bytes from 172.17.0.44: icmp_seq=1 ttl=64 time=0.059 ms ``` Now if i stop the containers, remove `bar` and run the containers again, the hostname of `bar` is no longer available in `foo`. I first have to also rebuild `foo`: ``` $ docker-compose stop Stopping dct_foo_1... done Stopping dct_bar_1... done $ docker-compose rm bar Going to remove dct_bar_1 Are you sure? [yN] y Removing dct_bar_1... done $ docker-compose up -d Creating dct_bar_1... Starting dct_foo_1... $ docker exec -ti 6ddb6 ping bar ping: unknown host ``` This is quite inconvenient as it means, I can not recreate any linked container without also recreating all containers where the removed one is linked to. ``` $ docker-compose --version docker-compose version: 1.4.0 $ docker --version Docker version 1.8.2, build 0a8c2e3 ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Allow injecting custom fields into logger from prefect.context ## Current behavior In our system we pass trace_id from event source through to all systems to close so we can track end to end and correlate with performance traces and metrics. We put the trace_id into the prefect.context and use that to enrich traces and metrics, however the final part of the puzzle is to add to logs as well. I spoke to Dylan on slack, and he very kindly pointed me at this: https://github.com/PrefectHQ/prefect/blob/master/src/prefect/utilities/logging.py#L170 which does exactly what I need. However, so far as I can tell only a static list of context attributes are injected by default (from `PREFECT_LOG_RECORD_ATTRIBUTES`). I've found a way around this but it's super hacky: ``` prefect.utilities.prefect.utilities.logging.PREFECT_LOG_RECORD_ATTRIBUTES = ( PREFECT_LOG_RECORD_ATTRIBUTES + ("trace_id",) ) ``` ## Proposed behavior Would be great if this Tuple was a configurable list, possibly in the context object. I was thinking of a small patch to `_log_record_context_injector` that would look for a `prefect.context.additionally_injected_log_attributes` list and if found, include those values. If this seems like something you would merge I'd be happy to do a PR? ## Example If this list was configurable it would allow setting a custom logging format that includes these injected fields so that we have our trace_id in each log 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 conan-io/conan codebase. Here's the problem: Enhanced tools.vcvars_dict(...,only_diff=True) handling of lists To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Conan 1.5.1, Windows 7, Visual Studio 2017 tools.vcvars_dict seems to mostly exist to support `with tools.vcvars():`. However, this doesn't play nicely with any other packages offering additions to the the same environment variables (filter_known_paths offers a partial workaround for PATH), environment_append and env_info handle this use case nicely by supporting the idea that the dict value an be a list, and that this will be combined with the existing values using os.pathsep. So it would be nice if tools.vcvars_dict would, in only_diff=True, make use of this and split lists that vcvars modified by inserting additional entries at the front, rather than providing a blanket "overwrite with this complete string". e.g. https://github.com/conan-io/conan/blob/a8649076fa6bfeb6c0b7438832fd996e56d72ecf/conans/client/tools/win.py#L322-L323 could instead do something like (not tested) ```python oldvalue = os.environ.get(name_var) if only_diff else None if oldvalue and value.endswith(os.pathsep + oldvalue): new_env[name_var] = value[:-(len(oldvalue)+1)].split(os.pathsep) elif oldvalue != value: new_env[name_var] = value ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Conan on Mac can't recognize compiler correctly Hello, https://travis-ci.org/procxx/kepka/jobs/322618396 on the link you can see that Conan recognize compiler as gcc 4.2 on Travis, but it's not 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 googleapis/google-cloud-python codebase. Here's the problem: Requests documentation 404s The docs builds all currently fail as the Requests documentation is not available at https://2.python-requests.org/en/v2.7.0/. It appears the new home is https://requests.kennethreitz.org/en/master/ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Add support for XCode 11 (apple_clang: 11.0) Would be nice to have `apple_clang: version: "11.0"` in default `settings.yml` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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.mkenums_simple() installs the generated C source file The following snippet: ```meson enum_sources = gnome.mkenums_simple( 'dm-enums', install_header: true, install_dir: join_paths(get_option('includedir'), api_name), sources: installed_headers, ) ``` Will result in `dm-enums.c` being installed in the include directory: ``` Installing dmodel/dm-enums.c to /usr/include/dmodel-0/dm-enums.c Installing dmodel/dm-enums.h to /usr/include/dmodel-0/dm-enums.h ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Add ability to keep retrying with a lock error The yum installer (IIRC) has a nice feature that it will keep trying every 10 seconds or so if there is a lock error. This could be useful for conda. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: isclose accepts bool inputs although the docs state it shouldn't ## Documentation The docstring of `numpy.isclose` currently states https://github.com/numpy/numpy/blob/623bc1fae1d47df24e7f1e29321d0c0ba2771ce0/numpy/core/numeric.py#L2314 but it happily accepts boolean tensors: ```python >>> a = np.array([True], dtype=np.bool_) >>> np.isclose(a, a) array([ 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: `Target.instruction_schedule_map().has_custom_gate()` always returns True ### Environment - **Qiskit Terra version**: 0.23.1 - **Python version**: 3.11 - **Operating system**: Linux ### What is happening? When using the `InstructionScheduleMap` returned from a Target object's (specifically from a FakeBackend object, but I think this occurs generally) `.instruction_schedule_map()` method the `.has_custom_gate()` method is always returning True. This wasn't the case pre-0.23.0 (and I expect means this is related to #8885 ). This leads to a transpiler performance regression because the transpiler thinks we need to evaluate pulse gates despite not having a custom calibration set. ### How can we reproduce the issue? ```python3 from qiskit.providers.fake_provider import FakeGeneva backend = FakeGeneva() instmap = backend.instruction_schedule_map assert not instmap.has_custom_gate() ``` ### What should happen? The above code snippet should not raise an assertion error because no custom gates are defined in the instruction schedule map. ### Any suggestions? I think this is being caused by a type mismatch and differing expectations between the `Target`/`BackendV2` path and the `InstructionScheduleMap` class. I originally thought this was just a case of a differing type being used in the target path post-#8885 to represent the default calibration from the defaults file now that we're lazy loading it. But looking at it a bit more closely the `InstructionScheduleMap`'s entries from the fake backend are all `ScheduleDef` which would be the same as a manually created `Schedule` object. I"m not sure the best way to resolve this though. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: RecursionError or "File name too long" error when HF_HOME is set to a relative path ### System Info - `transformers` version: 4.31.0 - Platform: Linux-6.2.0-26-generic-x86_64-with-glibc2.35 - Python version: 3.9.5 - Huggingface_hub version: 0.16.4 - Safetensors version: 0.3.2 - Accelerate version: 0.21.0 - Accelerate config: not found - PyTorch version (GPU?): 1.12.1+cu113 (True) - Tensorflow version (GPU?): not installed (NA) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: <fill in> - Using distributed or parallel set-up in script?: <fill in> ### Who can help? @sgugger @LysandreJi ### Information - [ ] The official example scripts - [ ] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction export HF_HOME=hfh or export HF_HOME=. Then execute below code ``` from pathlib import Path from transformers import pipeline print(Path("/home/test/hub") / "/home/test") # = /home/test # OK print(Path("home/test/hub") / "home/test") # = home/test/hub/home/test # BAD print(Path("hfh/mydir") / "hfh/") # = hfh/mydir/hfh # BAD # See dynamic_module_utils.py -> create_dynamic_module() -> Line 62 pipe = pipeline("text-generation", model="databricks/dolly-v2-3b", trust_remote_code=True) pipe("Why the sky is blue?") ``` Result with HF_HOME=hfh ``` OSError: [Errno 36] File name too long: 'hfh/modules/hfh/modules/hfh/modules/hfh/modules/hfh/modules/hfh/modules/... ``` Result with HF_HOME=. ``` RecursionError: maximum recursion depth exceeded while calling a Python object ``` ### Expected behavior pipeline should 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 conan-io/conan codebase. Here's the problem: [bug] deploy generator broken with 1.25.0 ### Environment Details (include every applicable attribute) * Operating System+version: Ubuntu 20.04 * Compiler+version: any * Conan version: 1.25.0 * Python version: 3.8.2 ### Steps to reproduce (Include if Applicable) * mkdir /tmp/conan-paho-mqtt * conan install paho-mqtt-cpp/1.1@ -g deploy -o *:shared=True ### Logs (Executed commands with output) (Include/Attach if Applicable) ``` Configuration: [settings] arch=x86_64 arch_build=x86_64 build_type=Release compiler=gcc compiler.libcxx=libstdc++ compiler.version=9 os=Linux os_build=Linux [options] *:shared=True [build_requires] [env] Installing package: paho-mqtt-cpp/1.1 Requirements paho-mqtt-c/1.3.1 from 'conan-center' - Cache paho-mqtt-cpp/1.1 from 'conan-center' - Cache Packages paho-mqtt-c/1.3.1:bf0adb9a727594d902b6dc22b23c800d7707b38a - Cache paho-mqtt-cpp/1.1:698833d5e29368eb40ad7c3fd09f712da2722f78 - Cache Installing (downloading, building) binaries... paho-mqtt-c/1.3.1: Already installed! paho-mqtt-cpp/1.1: Already installed! ERROR: Generator deploy(file:deploy_manifest.txt) failed [Errno 2] No such file or directory: '/tmp/conan-paho-mqtt/paho-mqtt-cpp/lib/libpaho-mqttpp3.so.1' ERROR: [Errno 2] No such file or directory: '/tmp/conan-paho-mqtt/paho-mqtt-cpp/lib/libpaho-mqttpp3.so.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 Qiskit/qiskit codebase. Here's the problem: update example visualizing_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. --> ### What is the expected behavior? when the ascii drawer is in place update the `visualizing_circuits.py` example and show it using circuit.draw() as for me on a mac I cant user matplotlib with just python. Need to use the pythonw. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: include AssetSelection and AssetsDefinition in api doc Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Disable CI for documentation only changes Probably fail-fast approach can work. @jpakkane noted that in the past an attempt was made to implement this but coverage was broken because of this, so let's be careful this time. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Batch (and Transaction) dataset_id should match that of Key / Query objects when added Proposed fix: Do not ask for `dataset_id` in the constructor and instead gather it from the keys and queries used in the transaction. This may require implementing #495 and **will** require removing the `self.begin()` [call](https://github.com/GoogleCloudPlatform/gcloud-python/blob/8faba35a266cd6280f125adf6035f902a07a26e4/gcloud/datastore/transaction.py#L246) from `Transaction.__enter__`. (Can't begin until a query or entity is encountered.) **Title** was: "Transaction does not rollback correctly when multiple datasets involved" --- Witness the following code: ``` python >>> from gcloud import datastore >>> cnxn = datastore.get_connection() >>> dataset1 = cnxn.dataset('PROJ1') >>> dataset2 = cnxn.dataset('PROJ2') >>> e1 = dataset1.entity('foo') >>> e2 = dataset2.entity('foo') >>> e1['bar'] = e2['bar'] = 0 >>> e1.save() <Entity[{'kind': u'foo', 'id': 5686683802533888L}] {'bar': 0}> >>> e2.save() <Entity[{'kind': u'foo', 'id': 5659313586569216L}] {'bar': 0}> >>> with dataset1.transaction(): ... e1.delete() ... e2.delete() ... >>> e1_still = dataset1.get_entity(e1.key()) >>> e1_still is None True >>> e2_still = dataset2.get_entity(e2.key()) >>> e2_still <Entity[{'kind': u'foo', 'id': 5659313586569216L}] {u'bar': 0L}> ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda clean -t fails with FileNotFoundError ``` [root@localhost conda-recipes]# conda clean -t An unexpected error has occurred, please consider sending the following traceback to the conda GitHub issue tracker at: https://github.com/conda/conda/issues Include the output of the command 'conda info' in your report. Traceback (most recent call last): File "/root/anaconda/bin/conda", line 5, in <module> sys.exit(main()) File "/home/aaronmeurer/conda/conda/cli/main.py", line 202, in main args_func(args, p) File "/home/aaronmeurer/conda/conda/cli/main.py", line 207, in args_func args.func(args, p) File "/home/aaronmeurer/conda/conda/cli/main_clean.py", line 317, in execute pkgs_dir, rmlist, totalsize = find_tarballs() File "/home/aaronmeurer/conda/conda/cli/main_clean.py", line 108, in find_tarballs for fn in os.listdir(pkgs_dir): FileNotFoundError: [Errno 2] No such file or directory: '/root/.conda/envs/.pkgs' ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Airflow doesn't re-use a secrets backend instance when loading configuration values ### Apache Airflow version main (development) ### What happened When airflow is loading its configuration, it creates a new secrets backend instance for each configuration backend it loads from secrets and then additionally creates a global secrets backend instance that is used in `ensure_secrets_loaded` which code outside of the configuration file uses. This can cause issues with the vault backend (and possibly others, not sure) since logging in to vault can be an expensive operation server-side and each instance of the vault secrets backend needs to re-login to use its internal client. ### What you think should happen instead Ideally, airflow would attempt to create a single secrets backend instance and re-use this. This can possibly be patched in the vault secrets backend, but instead I think updating the `configuration` module to cache the secrets backend would be preferable since it would then apply to any secrets backend. ### How to reproduce Use the hashicorp vault secrets backend and store some configuration in `X_secret` values. See that it logs in more than you'd expect. ### Operating System Ubuntu 18.04 ### Versions of Apache Airflow Providers ``` apache-airflow==2.3.0 apache-airflow-providers-hashicorp==2.2.0 hvac==0.11.2 ``` ### Deployment Official Apache Airflow Helm Chart ### Deployment details _No response_ ### Anything else _No response_ ### Are you willing to submit PR? - [X] 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 ipython/ipython codebase. Here's the problem: ipython console ignores cursor_start and cursor_end on complete_reply messages Here is a minimal example using commit dbd30bf using Anaconda 3.4 64bit on Linux 17: ``` python from IPython.kernel.zmq.kernelbase import Kernel __version__ = '1' class TestKernel(Kernel): implementation = 'test_kernel' implementation_version = __version__ language = 'test' language_version = __version__ banner = '' def do_complete(self, code, cursor_pos): matches = [code[1:] + '_complete'] return {'matches': matches, 'cursor_start': 1, 'cursor_end': cursor_pos, 'metadata': dict(), 'status': 'ok'} def do_execute(self, code, silent, store_history=True, user_expressions=None, allow_stdin=False): return {'status': 'ok', 'execution_count': self.execution_count, 'payload': [], 'user_expressions': {}} if __name__ == '__main__': from IPython.kernel.zmq.kernelapp import IPKernelApp IPKernelApp.launch_instance(kernel_class=TestKernel) ``` In one terminal, launch this file as `python test_kernel.py`. In another tab, run `ipython console --existing ...`. At the prompt type `test<TAB>`. We expect to get `test_complete`, but instead we get `est_complete`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: add remaining --sbindir & Co. I think we still miss: * sbindir (/usr/sbin) * sharedstatedir (/var/lib) * infodir (/usr/share/info) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Warning expected for re-writing array to already open file Hello, I am using Numpy v1.14 on Mac OSX with Python 2.7. Consider the following snippet: ```python >>> f = open('test.npy', 'w') >>> a = [1,2] >>> np.save(f, np.asarray(a)) >>> aa = [1, 3] >>> np.save(f, np.asarray(aa)) # No effect of this >>> f.close() >>> ff = open('test.npy', 'r') >>> bb = np.load('test.npy') >>> bb np.array([1, 2]) # Expectation was np.array([1,3]) ``` I think there should be at least a warning on overwriting the already written and unclosed file. In the worst case, I think there should be a mention in the documentation. I believe this is an extreme boundary case. In general, this may not be the way one should use `np.save`. But when I designed my structure of the code and the classes, I simply assumed that this should work and after 3 hours of simulations, only the first iteration value was saved. Kindly look at it. Let me know if you need further information. 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: Running a script as part of project() broken 1b0048a7022a89f461cf4d01e7cdbf995bab70f5 ~~I noticed that cross compiling broke in master and bisected it back to this commit. I'm working on a fix now, but wanted to make sure that his was flagged so a release wasn't made with a serious regression.~~ Turns out the real regression is using a `run_command` as part of `project`. Still a problem for mesa though. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: lax.scatter batching (vmap) rule Follow-up from #246. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Y-gate gets transposed to 2x SX verses one X <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: latest - **Python version**: - **Operating system**: ### What is the current behavior? ```python qc = QuantumCircuit(1) qc.y(0) transpile(qc,backend).draw() ``` gives: ``` global phase: -π/2 ┌────┐┌────┐┌───────┐ q_0 -> 0 ┤ √X ├┤ √X ├┤ RZ(π) ├ └────┘└────┘└───────┘ ``` which is twice as long in duration as directly using `x` since both `sx` and `x` have the same duration on the backend. ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Perhaps `x` goes before `sx` in the basis gates? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: os.kill is not available in windows before python 2.7 As per the topic, the current celery implementation (>=2.3.0) crashes on windows using python 2.5 and 2.6, because it uses os.kill which is not available in windows before python 2.7 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: PassManagerConfig.from_backend fails with AerSimulator ### Environment - **Qiskit Terra version**: 088f600be1914bfd2bc3c43d0a171ff08ccba9bf - **Python version**: 3.10.8 - **Operating system**: Fedora 36 - **Qiskit Aer version**: 0.11.2 ### What is happening? See repro. ### How can we reproduce the issue? ```python from qiskit.transpiler.passmanager_config import PassManagerConfig from qiskit_aer import AerSimulator backend = AerSimulator() pass_manager_config = PassManagerConfig.from_backend(backend) ``` ``` --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In [1], line 5 2 from qiskit_aer import AerSimulator 4 backend = AerSimulator() ----> 5 pass_manager_config = PassManagerConfig.from_backend(backend) File ~/projects/qiskit-terra/qiskit/transpiler/passmanager_config.py:139, in PassManagerConfig.from_backend(cls, backend, **pass_manager_options) 137 if backend_version < 2: 138 if hasattr(backend, "defaults"): --> 139 res.inst_map = backend.defaults().instruction_schedule_map 140 else: 141 res.inst_map = backend.instruction_schedule_map AttributeError: 'NoneType' object has no attribute 'instruction_schedule_map' ``` ### What should happen? It should work. ### Any suggestions? _No response_ Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: fix README installation command and PyPI links The current PyPI install command, links, and images point to the wrong package. I suppose this might be due to the new auto-generated documentation platform in use. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `unravel_index()` argument name `dims` is not consistent with other functions The [`unravel_index()`](https://docs.scipy.org/doc/numpy/reference/generated/numpy.unravel_index.html) function takes an argument named `dims` that corresponds to: > The **shape** of the array to use for unraveling `indices`. It seems like in most other places, this argument would be named `shape`, so I propose to rename it to match that convention, unless there is some special reason for this name to be different. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Qbs build helper It would be nice to have a Qbs build helper. Since Qbs has its own profiles it is not possible to just run the qbs command to build an application. When building a conan package with qbs first a qbs profile has to be created with the conan profile settings. Adding this manually to every conanfile or build pipeline definition is tedious. A Qbs build helper could setup qbs profiles automatically. - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Remove unused parts of `auxlib` ### What is the idea? Remove unused submodules of `auxlib`. ### Why is this needed Continuing work of absorbing/refactoring `auxlib`. (See https://github.com/conda/conda/pull/11025) ### What should happen? Removal of unused submodules. ### Additional Context _No response_ Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Firestore: add emulator support **Is your feature request related to a problem? Please describe.** The library does not respect the `FIRESTORE_EMULATOR_HOST` environment variable thus it cannot be used with the emulator. **Describe the solution you'd like** Respect the `FIRESTORE_EMULATOR_HOST` environment variable and connect to the emulator when set. **Describe alternatives you've considered** None. If there are other ways to use the emulator with the library they are not 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 mesonbuild/meson codebase. Here's the problem: LLVM statically links on < 4.0, dynamically links on >= 4.0 *grumble* We need a fairly significant workaround to fix this (I'll write it). I just wanted to document this here so that if others ran into it they'd know. Basically in 4.0 LLVM added a --link-static and --link-shared option to llvm-config, and a default mode (on linux distros this seems to be shared on the distros tested (arch, fedora, debian)). Before that it was static linking from llvm-config, and you had to figure out where LLVM-x.y.so was located yourself if you wanted shared-linking. LLVM 5.0 also was the first version with symbol mangling, so static linking might be smarter for < 5.0 anyway. *grumble* Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: LayoutLMv2 Model # 🌟 New model addition ## Model description LayoutLMv2 by pre-training text, layout and image in a multi-modal framework, where new model architectures and pre-training tasks are leveraged. Specifically, LayoutLMv2 not only uses the existing masked visual-language modeling task but also the new text-image alignment and text-image matching tasks in the pre-training stage, where cross-modality interaction is better learned. <!-- Important information --> ## Open source status * [ ] the model implementation is available: (give details) https://github.com/microsoft/unilm/tree/master/layoutlmv2 * [ ] the model weights are available: (give details) https://huggingface.co/microsoft/layoutlmv2-base-uncased/ * [ ] who are the authors: (mention them, if possible by @gh-username) @inproceedings{Xu2020LayoutLMv2MP, title = {LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding}, author = {Yang Xu and Yiheng Xu and Tengchao Lv and Lei Cui and Furu Wei and Guoxin Wang and Yijuan Lu and Dinei Florencio and Cha Zhang and Wanxiang Che and Min Zhang and Lidong Zhou}, booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL) 2021}, year = {2021}, month = {August}, } Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: update pretty to use Python 3 style for sets In Python 3, `repr(set([1,2,3]))` is `{1,2,3}`, but pretty currently forces the output to be `set([1,2,3])`. We should probably use the set-literal format on Python 3, or just use it all the time. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Support for clang 11 Hello Everyone, Is it possible to add in the default settings list the clang 11 (https://clang.llvm.org/docs/ReleaseNotes.html) ? The compiler is already being actively used from the https://conan.io/center/emsdk_installer/1.39.13 and for the moment I have to manually adapt my settings.yml ~~I think it used to work, but probably some changes with clang-apple removed the version ?! (no idea to be frank. I first noticed it a couple of weeks ago, when a ci job in one of my projects started failing)~~ (I think it is not valid. I notice in the logs that I was still using clang 10) Probably also related to: * https://github.com/conan-io/conan/issues/6910 - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Wrong output in take function I encountered an error when i use the numpy.take function. test : 2D array (20000x128) with double values P: integer vector 128 values in the range of [0...127] none are the same. if i execute the following code everything works fine and as intended, no error. `np.take(test, P, axis=1, mode='raise', out=test)` if i execute ` np.take(test, P, axis=1, mode='wrap', out=test) ` my output should be the same as in the other code, since i do not have any out-of-bounds indices. However, the output is different. Values are scrambled and appear multiple times although they are all different. if executed as `test = np.take(test, P, axis=1, mode='wrap') ` the output is correct. same for: mode = 'clip' numpy version 1.12.1 python version 2.7.13 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Rename `master` branch `main` ### Description You currently use the branch name `master` for this repository for historical reasons. However, the open source community has moved on from this, the GitHub default is now `main`, and `main` is 2-fewer letters to type :-) ### Guidance Renaming a branch will automatically update all open PRs, so this shouldn't be too disruptive as long as your dev community knows to update their local branches: https://github.com/github/renaming We've done it for several projects and it went very smoothly. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: jlap: error with file:/// repositories ### Checklist - [X] I added a descriptive title - [X] I searched open reports and couldn't find a duplicate ### What happened? `--experimental=jlap` errors when pointed to a `file:///` repository containing `.jlap`: For example, `.condarc`: ``` channels: - file:///Users/dholth/prog/conda/repo experimental: [jlap] ``` In the `repo` folder, download `repodata.json`, `repodata.json.zst`, `repodata.jlap` into noarch/ and your arch (e.g. osx-arm64/) folders. A copy from defaults is fine for testing. Now try something like a `conda search` a few times until the second or third time where it would normally consult `.jlap` (which it only does after fetching `repodata.json`). An error appears since the "pretend requests can talk to file" system doesn't understand headers. ``` File ".../conda/gateways/repodata/jlap/fetch.py", line 131, in request_jlap log.debug("request headers: %s", pprint.pformat(response.request.headers)) AttributeError: 'NoneType' object has no attribute 'headers' ``` ### Conda Info Version 23.7.2 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Control order of list when calling `conda list` ### Checklist - [X] I added a descriptive title - [X] I searched open requests and couldn't find a duplicate ### What is the idea? Include an order control option for `conda list`. This can be something as `conda list --reverse` or `conda list --descending` or `conda list --desc` ### Why is this needed? I often have to deal with a package that starts with an `a`. When I check the installed packages in a terminal of a large environment (~500 packages) using `conda list` I see myself scrolling a loong way up. ### What should happen? Reverse the order of the list of installed packages. So instead of the following result: ```cmd # packages in environment at D:\Software\Miniconda3\envs\stable: # # Name Version Build Channel adagio 0.2.3 pypi_0 pypi affine 2.3.1 pyhd8ed1ab_0 conda-forge ... zlib-ng 2.0.6 h8ffe710_0 conda-forge zstd 1.5.2 h7755175_4 conda-forge (stable) D:\Software> ``` You will get the following result: ```cmd # packages in environment at D:\Software\Miniconda3\envs\stable: # # Name Version Build Channel zlib-ng 2.0.6 h8ffe710_0 conda-forge zstd 1.5.2 h7755175_4 conda-forge ... adagio 0.2.3 pypi_0 pypi affine 2.3.1 pyhd8ed1ab_0 conda-forge (stable) D:\Software> ``` ### Additional Context _No response_ Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Notify user if group_by_length won't be used @sgugger @stas00 (as suggested in [15196](https://github.com/huggingface/transformers/issues/15196#issuecomment-1024143208)) It is just a minor issue but it could prevent some head-scratching: Setting `group_by_length` to `True` during training has, as far as I can see, no effect if the provided dataset is a `torch.utils.data.IterableDataset`, as can be seen in this line: https://github.com/huggingface/transformers/blob/c4d1fd77fa52d72b66207c6002d3ec13cc36dca8/src/transformers/trainer.py#L646 Entering this branch will run the training without bucketing / grouping. Imo it would be best to raise an exception or, at the very least, print a warning message for the user. Grouping only happens in [`_get_train_sampler()`](https://github.com/huggingface/transformers/blob/c4d1fd77fa52d72b66207c6002d3ec13cc36dca8/src/transformers/trainer.py#L566:L628) which [is never reached](https://github.com/huggingface/transformers/blob/c4d1fd77fa52d72b66207c6002d3ec13cc36dca8/src/transformers/trainer.py#L646:L664) if said condition is 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: Add ability to add and subtract operators on subsystems <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? Add a `qargs` kwarg to `BaseOperator` `add` method so that a smaller operator can be added to larger one assuming identities on other subsystems (same as qargs for compose). As with issue #3872, also add support so that this can be done using the standard `+` `-` binary operators: ```python init = Operator.from_label('II') I = Operator.from_label('I') X = Operator.from_label('X') H = Operator.from_label('H') # Add this op = init + X([0]) - H([1]) # To be equivalent to this op = init + x.expand(I) - H.tensor(I) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Weird daylight savings time behavior with croniter As identified in a unit test in #325, cron seems to give an unexpected result during a DST transition. Thinking about DST is hard enough, let alone trying to figure out if this is a bug, so I've marked the test as `xfail` for now. It may be related to this issue: https://github.com/taichino/croniter/issues/116. If this *is* a bug, then we should probably be converting all cron dates to UTC when the schedule is created (in fact, this might not be a bad idea in general). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda install --rev is broken in 4.3 per https://github.com/ContinuumIO/anaconda-issues/issues/7855#issuecomment-357036226 Write downgrade integration tests In an integration test: 1. Create an environment with the current conda under test, but include an earlier version of conda in that environment. Probably something like conda create -n _test-env python=2.7 itsdangers conda=X.X 2. Subprocess to that conda, and make sure that conda can operate on that environment. CONDA_ROOT/envs/_test-env/bin/conda install -p CONDA_ROOT/envs/_test-env/bin/conda flask Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Federated bundle (for JLab>=3) and source bundle (for JLlab<3) in 1 pypi package For many python widget libraries, we put the js source tarball in `$prefix/share/jupyter/lab/extensions`. JLab 1 and 2 pick this up, and rebuild. For JLab 3, we want to put the Federated bundles into `$prefix/share/jupyter/labextensions`, e.g.: * https://github.com/glue-viz/bqplot-image-gl/pull/35 * https://github.com/bqplot/bqplot/pull/1222 However, if we want our new distributed python package to work for both JLab versions, not requiring a rebuild on 3, asking for a rebuild on 1 and 2. Is there a way to do this? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Migrate elasticsearch client to 8.* (or latest 7.*) ### Body The eleasticsearch version we use is old (from 2021). It is eleasticsearch 7.* and since we are using elasticsearch-dsl, we cannot used elasticsearch 8 currently (first version of that was also released in 2021). We are currently limited to < 7.15.0 additionally to being limited to 7, because 7.15.0 breaks our tests as we found out when we released some of the dependencies as part of https://github.com/apache/airflow/pull/30067 We should migrate to a newer version of elasticsearch. There are two options: 1) Fix the tests and migrate to lates 7.* version - and bump to latest released 7* by fixing our tests (possible for short term). 2) Migreate to 8 version (better long term) ### Committer - [X] I acknowledge that I am a maintainer/committer of the Apache Airflow project. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Data Catalog: add sample for creating an entry group Entry Groups operations were added to Data Catalog's API and the client library supports them since 2019-10-23 (https://googleapis.dev/python/datacatalog/0.4.0/changelog.html#id1). Samples are now required, to update the official 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 PrefectHQ/prefect codebase. Here's the problem: Set k8s resource manager to only look for prefect identifier labeled resources ## Current behavior Currently the resource manager is greedy with what it chooses to clean up, taking every job in a set namespace. ## Proposed behavior Set the resource manager to only clean up jobs/pods with prefect identifier labels (which we already place on them when created) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Implement progress_bar_type support when bqstorage_client is used Follow-up to https://github.com/googleapis/google-cloud-python/pull/7552. We now support displaying a progress bar in `to_dataframe` when the tabledata.list API is used, but not when the `bqstorage_client` is used. The BigQuery Storage API is faster, but not instantaneous, so it would still be useful to display a progress bar. There are a couple of complications with this. * When the BigQuery Storage API is used, a threadpool is used to download query results. The progress bar should only be updated from a single thread, so the threadsafe queue should probably be used from the worker threads to send updates to the main thread that updates the progress bar. * `to_dataframe` in the BigQuery Storage API client only supports downloading a whole stream at once. The reader needs to be updated to provide a `pages` property to allow converting individual blocks to a pandas DataFrame. That way incremental updates can be sent. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Consolidate `bit_indices` as a circuit property I'm wondering if it makes sense to carry this around in the circuit object itself (maybe as a private). Pretty much anything that is going from a circuit to something else is now building this dict. _Originally posted by @mtreinish in https://github.com/Qiskit/qiskit-terra/pull/5504#discussion_r583153333_ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: LDC can't parse RSP file issued by Meson **Describe the bug** When the command line length hits a threshold, it is converted to a RSP file. In this file, some of the arguments are quoted using python `shlex.quote`. `shlex.quote` happens to quote using single quotes `'` (at least on Windows). In my case, the RSP file contains among many other `'-L=/PDB:lib\\doptest.pdb'` and LDC fails to parse with `Error: unrecognized file extension pdb'`. (note the `'` in the file extension). LDC forwards expansion of RSP file directly to LLVM ([implementation](https://llvm.org/doxygen/CommandLine_8cpp_source.html#l00930)) So who's to blame here? `shlex` ? LLVM? Meson (for using shlex)? **To Reproduce** you may set `MESON_RSP_THRESHOLD` to a low value and compile a D project with LDC. **Expected behavior** No failure **system parameters** * plain native build * Windows 10 * Python 3.9.0 * Meson 0.57.1 * Ninja 1.10.1 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: np.sinc() documentation "It works in 2-D as well" looks misleading The [documentation](https://docs.scipy.org/doc/numpy/reference/generated/numpy.sinc.html#numpy.sinc) currently states: > It works in 2-D as well: > >>> x = np.linspace(-4, 4, 401) > >>> xx = np.outer(x, x) > >>> plt.imshow(np.sinc(xx)) This does not seem useful as it is computing np.sinc(x*y) over the domain [-4,4]*[-4,4]. In almost all cases, the desired generalization of np.sinc() to 2D is instead np.sinc(x)*np.sinc(y) [see [Wikipedia entry](https://en.wikipedia.org/wiki/Sinc_function#Higher_dimensions)]: xx, yy = np.meshgrid(np.linspace(-4, 4, 401), np.linspace(-4, 4, 401)) plt.imshow(np.sinc(xx) * np.sinc(yy), cmap='gray') Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Dependencies on python modules For mesa I need to check if the mako module is installed (and of the proper version) for the python version we're using (python2 at this point :/ ). I'm interested in adding the feature to meson, but I want to know whether the preferred implementation would be to writing a dependency type (maybe that took a python prog as an argument?), or to add a method to the python module (obviously for the latter we'd need a python2 module). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Stabilise state convergence In #1399, a basic version of state convergence was hidden behind the `--x-smart-recreate` flag. This should be promoted to a stable feature and become the default behaviour. A flag should be added to `up` to support the old behaviour where all containers are stopped and recreated. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Exclude `test` as project name for `meson init`. **Describe the bug** Please see "To Reproduce" **To Reproduce** Just execute the following steps: ``` $ mkdir test; cd test $ meson init Using "test" (name of current directory) as project name. Using "test" (project name) as name of executable to build. Defaulting to generating a C language project. Sample project created. To build it run the following commands: meson setup builddir meson compile -C builddir $ meson setup builddir The Meson build system Version: 0.62.1 Source dir: /home/gerion/test Build dir: /home/gerion/test/builddir Build type: native build Project name: test Project version: 0.1 C compiler for the host machine: ccache cc (gcc 10.2.1 "cc (Debian 10.2.1-6) 10.2.1 20210110") C linker for the host machine: cc ld.bfd 2.35.2 Host machine cpu family: x86_64 Host machine cpu: x86_64 meson.build:5:0: ERROR: Target name 'test' is reserved for Meson's internal use. Please rename. A full log can be found at /home/gerion/test/builddir/meson-logs/meson-log.txt ``` **Expected behavior** `meson init` should rename the project if the folder is `test`. **system parameters** * what operating system: Debian 11 * what Python version are you using: 3.9.0 * what `meson --version`: 0.62.1 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: plot_histogram should return counts not probs for y-value ### What should we add? `plot_histogram` is returning a plot of probability vs. bit-string. However, this is not a true histogram that should be returning the discrete counts binned to the bit-string value. It would be nice to have `plot_histogram` return an actual histogram. This also comes into play when thinking about `Quasidistribution` objects that are actual distributions and may contain negative values (and also have integer keys). For these objects a histogram makes no sense, and thus they should have their own `plot_distribution` that returns probabilities and can better accommodate negative values. With two different plotting functions, returning the correct values, we can better handle things and allow only `Counts` to `plot_histogram`, and everything else to `plot_distribution` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: SabreSwap changes coupling map parameter in place <!-- ⚠ 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**: 3.8 - **Operating system**: MacOS ### What is the current behavior? SabreSwap makes the coupling map symmetric "in place". This affects also SabreLayout indirectly. ### Steps to reproduce the problem ```python from qiskit import QuantumCircuit from qiskit.transpiler import PassManager, CouplingMap from qiskit.transpiler.passes import SabreSwap from qiskit.test.mock.backends import FakeTenerife coupling_map = CouplingMap(FakeTenerife().configuration().coupling_map) print(coupling_map) passmanager = PassManager(SabreSwap(coupling_map)) result = passmanager.run(QuantumCircuit(1)) print(coupling_map) ``` ``` [[1, 0], [2, 0], [2, 1], [3, 2], [3, 4], [4, 2]] [[1, 0], [2, 0], [2, 1], [3, 2], [3, 4], [4, 2], [0, 1], [0, 2], [1, 2], [2, 3], [4, 3], [2, 4]] ``` ### What is the expected behavior? Do not touch my coupling map! :) ### Suggested solutions Use a copy. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Transpiler pass for converting `c_if` to `if_test` ### What should we add? As developers, we want to transition away from `Instruction.condition` (via the `Instruction{,Set}.c_if` methods) to remove unnecessary state from `Instruction` subclasses. Part of the backwards compatibility for this support can be a transpiler pass that converts instructions with non-`None` conditions to instances `IfElseBlock`. This has two main benefits as a temporary measure: - we will have a path for converting old-style `Instruction` instances within the transpiler, without immediately needing to change the behaviour of `Instruction.c_if`, which is very hard to do within the deprecation policy. - the dynamic-circuits paths in the IBM provider prefer to have conditionals in this form, in order to more easily apply dynamic decoupling against blocks of instructions. The first point is the justification for why this is useful to be in Terra (albeit not yet in the preset pass managers - the rest of the support for `IfElseBlock` is too shallow right now), and the second point is why we want this sooner rather than later. Potential further work: complex conditionals (e.g. `custom_gate.c_if()`) are likely to be expanded by the basis translator into many conditional gates all with the same condition. Ideally these would be transformed by this pass _before_ basis translation so that they all appear in the same `IfElseBlock`, but right now the support for the control-flow operations in the rest of the transpiler (especially routing) is still being worked on. One could have a separate classical optimisation pass that runs during optimisation that collects runs of conditionals on the same condition into a single `IfElseBlock`. This might be moving Terra too far in the direction of classical optimisation, however, and may be better suited for other libraries. cc: @taalexander. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda 4.4 weird prompt addition in zsh Before conda 4.4 my prompt with zsh would look like this, when I'm in my conda env `stable`: ![screenshot 2017-12-08 13 03 34](https://user-images.githubusercontent.com/69774/33783092-6ecd025c-dc18-11e7-8901-de81ac085f2c.png) After the update to conda 4.4 (using the blog instructions), I have this: ![screenshot 2017-12-08 13 03 43](https://user-images.githubusercontent.com/69774/33783112-8784582c-dc18-11e7-9388-fa681f85de5a.png) Note the addition of '\[\]' that was added after the environment ID. How can I get rid of that? Using zsh 5.4.2 on macOS 10.12.6 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Python extension_module does not install in site_packages In the *python* module documentation is claimed that `extension_module` install per default in `site_packages`: > `subdir`: By default, meson will install the extension module in the relevant top-level location for the python installation, eg `/usr/lib/site-packages`. When subdir is passed to this method, it will be appended to that location. This keyword argument is mutually exclusive with `install_dir` However, this does not work. When set `install: true` the modules are installed to `$prefix/lib64` on my system. One workaround is to specify the target like: ``` py3_mod = import('python') py3_inst = py3_mod.find_installation('python3') foo = py3_inst.extension_module('foo', <source_target>, install: true, subdir: get_option('prefix') + py3_inst.get_path('purelib'), dependencies: [py3_inst.dependency()] ) ``` It would be nice, if the subdir is set autotically to the `site-packages` folder. This bug is btw similar to #2859. However, this talks about the now deprecated *python3* module. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Can conan info get the package reference without the dependencies ? Using conan 1.6.0 It is pretty useful on our CI to get the package reference by doing a `conan info <path_to_recipe> -n None` and then extract the `Package/Version@PROJECT`. The fact is that we are only interested to get the package name and its version but the command resolves the dependencies but we don't need it and it can be time-consuming especially when the requirements are expressed in ranges (e.g `[^1.2.0]`) and the sub requirements as well. Is it possible to add another option like `--dont-check-dependencies` so they are not computed ? Another option for us is to grep the conanfile for `name =` and `version =` but it can be error prone in case where the name and/or the option is programmatically defined. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Python configuration via pkg-config may differ from that of found Python on path. It is fairly easy to have two Python installations on a system, only one of which reports to `pkg-config`. If another Python is earlier on the path, then `mod = import('python')` will find one Python, but `mod.find_installation().dependency()` will find another, because it first uses `pkg_config`, regardless of whether that matches the found Python. The consequence is that the code then compiles and links against a different Python to the one found. **To Reproduce** Install Python.org Python on Windows (no pkg-config files), to `c:\Python39` (e.g. with `choco install python --version=3.9`). Install Msys2 gcc, that comes, by default, with a version of Python, along with `pkg-config` binary, and a `python3.pc` pkg-config configuration. Make sure `c:\Python3.9` is earlier in the PATH. In that case, with this in `meson.build`: ``` py_mod = import('python') py_inst = py_mod.find_installation() py_dep = py_inst.dependency() ``` the `py_inst` will be the `c:\Python39\Python.exe` Python, but the `py_dep` variables will refer to the Msys2 Python. **Expected behavior** I think what should happen is that the `dependency()` call should confirm that the `pkg-config` variables do in fact refer to the `py_inst` Python, and if not, then `dependency` should use the `system` method to get dependency information. **system parameters** * Native build * Windows 10 * Python 3.9 * `meson --version` : 0.60.99 * `ninja --version` : 1.10.2.git.kitware.jobserver-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 Lightning-AI/lightning codebase. Here's the problem: Horovod with native 16 precision not working <!-- ### Common bugs: 1. Tensorboard not showing in Jupyter-notebook see [issue 79](https://github.com/PyTorchLightning/pytorch-lightning/issues/79). 2. PyTorch 1.1.0 vs 1.2.0 support [see FAQ](https://github.com/PyTorchLightning/pytorch-lightning#faq) --> ## 🐛 Bug <!-- A clear and concise description of what the bug is. --> ### To Reproduce Steps to reproduce the behavior: 1. using precision=16 with distributed_backend=horovod ``` Traceback (most recent call last): File "/workspace/main_lightning.py", line 500, in <module> main(hyperparams) File "/workspace/main_lightning.py", line 492, in main trainer.fit(model) File "/usr/local/lib/python3.6/dist-packages/pytorch_lightning/trainer/states.py", line 48, in wrapped_fn result = fn(self, *args, **kwargs) File "/usr/local/lib/python3.6/dist-packages/pytorch_lightning/trainer/trainer.py", line 1068, in fit results = self.horovod_train(model) File "/usr/local/lib/python3.6/dist-packages/pytorch_lightning/trainer/distrib_parts.py", line 213, in horovod_train model, optimizers = model.configure_apex(amp, model, self.optimizers, self.amp_level) File "/usr/local/lib/python3.6/dist-packages/pytorch_lightning/core/lightning.py", line 954, in configure_apex model, optimizers = amp.initialize(model, optimizers, opt_level=amp_level) ``` #### Code sample ``` trainer = Trainer( precision=16, gpus=1, distributed_backend="horovod") ``` ### Environment - PyTorch Version: 1.6.0+cu101 - How you installed PyTorch: pip Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Ignore missing build directory if not building images Hello, We have a single Compose file that should be used for both building images and starting services. Images are built on one machine (manually or with CI/CD) and pushed to company's private Docker registry. Compose file snippet: ``` version: "3.7" services: standalone: build: context: build/wildfly/standalone ... ``` We want to be able to start the services with _docker-compose_ CLI on any other machine in our company, using the same Compose file, while pulling the previously built images from company's private Docker registry. Those other machines don't have access to the build files, only the Compose file. The problem is, when starting services with `up`, build path specified in the Compose file must exist, otherwise an error is thrown, even if building is not required or is explicitly turned off with `--no-build`. ``` docker-compose -f all-standalone-demo.yml up --no-build ERROR: build path /home/vpriscan/...../build/wildfly/standalone either does not exist, is not accessible, or is not a valid URL. ``` I propose that missing build directory is ignored when services being started don't require building the images, or alternatively if `--no-build` flag is present. Kind regards, Vedran Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Sympy backends need more testing <!--- Provide a general summary of the issue in the Title above --> The sympy backends were introduced by @liupibm in #217. In the interest of making all simulators behave similarly (and play nicely with the other changes made in #319), the sympy backends were also merged in the SDK. But they lack formal tests. ## Expected Behavior <!--- If you're describing a bug, tell us what should happen --> <!--- If you're suggesting a change/improvement, tell us how it should work --> Include tests in `test/python` ## Current Behavior <!--- If describing a bug, tell us what happens instead of the expected behavior --> <!--- If suggesting a change/improvement, explain the difference from current behavior --> ## Possible Solution <!--- Not obligatory, but suggest a fix/reason for the bug, --> <!--- or ideas how to implement the addition or change --> ## Steps to Reproduce (for bugs) <!--- Provide a link to a live example, or an unambiguous set of steps to --> <!--- reproduce this bug. Include code to reproduce, if relevant --> ## Context <!--- How has this issue affected you? What are you trying to accomplish? --> <!--- Providing context helps us come up with a solution that is most useful in the real world --> ## Your Environment <!--- Include as many relevant details about the environment you experienced the bug in --> * Version used: * Environment name and version (e.g. Python 3.6.1): * Operating System and version: Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Add repr method for arbitrary mime-types We have `_repr_foo_` methods for a few common mime-types, but this mapping doesn't extend well to custom mime-types. I propose we add a new magic method that returns the full, formatted mime data, such as: ```python def _repr_mime_(self): """Return mimetype-bundled representation(s) of me""" return { 'data': { 'application/vnd.tableschema.v1+json': {...}, 'text/html': '<div>...', 'metadata': {}, } ``` details: should this override or be in addition to existing methods if found? cc @rgbkrk Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Several GNU directory options are not available I see several [predefined directory options](https://github.com/mesonbuild/meson/blob/master/mesonbuild/coredata.py#L202), but several of the [GNU Coding Standard directories](https://www.gnu.org/prep/standards/html_node/Directory-Variables.html) are missing, notably `sysconfdir` being the main one. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Split Circuit Visualization Backends into separate modules <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? Right now we have one giant module `qiskit.tools.visualization._circuit_visualization` which contains both the public methods and the implementations for 2 different backends (mpl and latex). As part of the circuit visualization cleanup we should create a separate module for each backend `qiskit.tools.visualization._latex` and `qiskit.tools.visualization._matplotlib`. This is how we set up the text/ascii backend already. After this happens we'll just have the public interfaces (mainly circuit_drawer() and it's helper functions) living in `qiskit.tools.visualization._circuit_visualization`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 storage.bucket.Bucket.delete raises proper exceptions on failure From TODO: ``` python # TODO: Make sure the proper exceptions are raised. ``` See [`storage.bucket.Bucket.delete`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/bucket.py#L153) for relevant code and #146 for some context. `git blame` output ``` b7f1b774 (JJ Geewax 2014-01-29 18:02:29 -0500 153) # TODO: Make sure the proper exceptions are raised. ``` Make sure storage.bucket.Bucket.delete raises proper exceptions on failure From TODO: ``` python # TODO: Make sure the proper exceptions are raised. ``` See [`storage.bucket.Bucket.delete`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/bucket.py#L153) for relevant code and #146 for some context. `git blame` output ``` b7f1b774 (JJ Geewax 2014-01-29 18:02:29 -0500 153) # TODO: Make sure the proper exceptions are raised. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: styling prompt, {color.Normal} excepts version: ipython 0.12 With my prompt set to: `c.PromptManager.in_template = '{color.LightGreen} \T {color.Normal}\Y2 {color.LightGreen}\$'` I get an `AttributeError: NoColors instance has no attribute 'Normal'` But I checked: ``` >>> from IPython.utils.coloransi import InputTermColors >>> InputTermColors.Normal # color has Normal, which is supposed to reset '\x01\x1b[0m\x02' ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 mesonbuild/meson codebase. Here's the problem: CMake translation handling macOS frameworks incorrectly I'm attempting to compile cURL as a subproject and getting linker errors for the final executable. The issue appears to be the following snippet in the final linker call: ``` /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX11.0.sdk/System/Library/Frameworks/CoreFoundation.framework /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX11.0.sdk/System/Library/Frameworks/Security.framework ``` This should instead just be `-framework CoreFoundation -framework Security`, and substituting appropriately causes the build to succeed. This appears to come from the generated meson files. In `subprojects/curl/meson.build`: ``` link_args : ['/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX11.0.sdk/System/Library/Frameworks/CoreFoundation.framework', '/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX11.0.sdk/System/Library/Frameworks/Security.framework', '/usr/local/lib/libssh2.dylib', '/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX11.0.sdk/usr/lib/libz.tbd'], ``` The equivalent CMake appears to just be something like: ``` find_library(COREFOUNDATION_FRAMEWORK "CoreFoundation") list(APPEND CURL_LIBS "${COREFOUNDATION_FRAMEWORK}") ``` I assume that macOS frameworks need to be special-cased for this to work. Meson version: 0.56.0 CMake version: 3.19.0 MacOS version: 11.0.1 How I'm invoking the CMake module: https://github.com/TypesettingTools/ffi-experiments/blob/3b9efd7a8b4e93386e0bcbe84acf33a7a9ef8615/meson.build#L16-L41 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Importing pyplot causes bouncing dock icon on mac This is illustrated by the following gif: ![image](http://g.recordit.co/ARO7Maic0K.gif) Importing pyplot in the normal python repl causes the python rocket icon to appear but not bounce distractingly. Importing it inside IPython causes the icon to bounce annoyingly for almost a minute. This is using a framework build of Python from Homebrew. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Branch `master` is failing <!-- commit 9ad54e15ddf7a689b639d0984a41867b84aef4b3@master --> Trying to build `master` at commit 9ad54e15ddf7a689b639d0984a41867b84aef4b3 failed. More info at: https://travis-ci.com/Qiskit/qiskit-terra/jobs/206584074 Branch `master` is failing <!-- commit 8f406d5a15c6aedd19d829541691a79489aa77bb@master --> Trying to build `master` at commit 8f406d5a15c6aedd19d829541691a79489aa77bb failed. More info at: https://travis-ci.com/Qiskit/qiskit-terra/jobs/206513297 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Transpiling `cp` into `['u', 'cx']` works; transpiling `cx` into `['u', 'cp']` doesn't <!-- ⚠ 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**: `0.18.0` - **Python version**: `Python 3.9.6` - **Operating system**: `Pop!_OS 21.04 x86_64` ### What is the current behavior? I am able to transpile a `cp` gate into using `['u', 'cx']` as basis gates, but I am unable to transpile a `cx` gate using `['u', 'cp']`. I want to be able to use `['u', 'cp']` as the transpilation target for more advanced circuits, but it does not work. Additionally, trying to transpile to `['u', 'crz']` also fails. ### Steps to reproduce the problem ``` from qiskit import QuantumCircuit, QuantumRegister from qiskit import transpile import numpy as np # works fine qr3 = QuantumRegister(2) qc3 = QuantumCircuit(qr3) qc3.cp(np.pi, qr3[0], qr3[1]) qc3 = transpile(qc3, basis_gates=['u', 'cx']) print(qc3) # fails to transpile qr1 = QuantumRegister(2) qc1 = QuantumCircuit(qr1) qc1.cx(qr1[0], qr1[1]) qc1 = transpile(qc1, basis_gates=['u', 'cp']) print(qc1) ``` ### What is the expected behavior? Transpilation should work in both directions, and `['u', 'cp']` should be a complete gate set. ### Suggested solutions I believe this is an issue with the way the transpiler runs; I don't understand all of the details of the transpiler to offer any useful suggestions. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] MSYS2 is not properly detected as Windows While working on #2568 I tested conan with MSYS2. To my surprise, conan does not work out of the box in this environment. More specifically, the profile auto detection fails to detect the MSYS2 environment as `os=Windows` with `subsystem=msys2`. Instead, the following profile is generated: ~~~ [settings] os=MSYS_NT-10.0 os_build=MSYS_NT-10.0 arch=x86_64 arch_build=x86_64 compiler=gcc compiler.version=6 compiler.libcxx=libstdc++ build_type=Release [options] [build_requires] [env] ~~~ It seems like the reason for this behavior is that `platform.system()` is not returning the expected `Windows` but `MSYS_NT-10.0` instead. Interestingly, `sys.platform` is `msys`. Considering how often `platform.system() == "Windows"` is used within the conan codebase this makes me a little bit nervous... Best, Mario Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: QPY fails to deserialize some `ControlledGate`s ### Environment - **Qiskit Terra version**: 0.20.1 - **Python version**: 3.8.12 - **Operating system**: Ubuntu 20.04.4 ### What is happening? QPY successfully serializes circuits containing instances of `ControlledGate`, but deserialization fails when `ControlledGate.__init__(...)` is called in `_read_instruction` with e.g.: ``` File "<..>/qiskit/qpy/binary_io/circuits.py", line 250, in _read_instruction gate = gate_class(*params) TypeError: __init__() missing 3 required positional arguments: 'name', 'num_qubits', and 'params' ``` ### How can we reproduce the issue? ``` from io import BytesIO from qiskit import qpy, QuantumCircuit from qiskit.circuit.library import DCXGate controlled_gate = DCXGate().control(1) # create instance of ControlledGate circuit = QuantumCircuit(3) circuit.append(controlled_gate, [0, 1, 2]) buf = BytesIO() qpy.dump(circuit, buf) # ok qpy.load(BytesIO(buf.getbuffer())) # TypeError: __init__() missing 3 required positional arguments: 'name', 'num_qubits', and 'params' ``` ### What should happen? `qpy.load()` should succeed ### Any suggestions? _No response_ Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Non-IPython kernel get passed --profile-dir Which (can) make them crash. - Either document it - remove it and deal with it. Proposal, special key like `{connexion_file}` so that it is not mandatory and not included by default. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: duplicate docstrings in numpy/core/_add_newdocs.py and numpy/core/multiarray.py ## Documentation When we transistioned to `__array_function__` we ended up with at least one duplicate docstring: in both [numpy/core/_add_newdocs.py](https://github.com/numpy/numpy/blob/v1.21.1/numpy/core/_add_newdocs.py#L3201) and [numpy/core/multiarray.py](https://github.com/numpy/numpy/blob/df6d2600c51502e1877aac563658d0616a75c5e5/numpy/core/multiarray.py#L737) there is a docstring for `dot`. It would be nice to go through and remove this and any other duplicates, I think the ones in `_add_newdocs.py` should be removed. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [scm] deducing `url` with a windows path It looks like when `auto` is deduced for `url`, it has to be properly escaped for '\\', just in case if it happens to be a local (windows) path instead of a proper git url. I have scm section in my conanfile.py like the following ``` scm = { 'type': 'git', 'url': 'auto', 'revision': 'auto' } ``` I am getting the following error from our bamboo builds ``` [package]: Repo origin deduced by 'auto': file://C:\bamboo\xml-data\build-dir\_git-repositories-cache\3da5a99bbc924e3c4d1788734921ce3e6554ac8c [snip] [package]: A new conanfile.py version was exported ERROR: Unable to load conanfile in [snip]\export\conanfile.py File "<frozen importlib._bootstrap>", line 684, in _load File "<frozen importlib._bootstrap>", line 665, in _load_unlocked File "<frozen importlib._bootstrap_external>", line 674, in exec_module File "<frozen importlib._bootstrap_external>", line 781, in get_code File "<frozen importlib._bootstrap_external>", line 741, in source_to_code File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "[snip]\export\conanfile.py", line 16 scm = {"url": "file://C:\bamboo\xml-data\build-dir\_git-repositories-cache\3da5a99bbc924e3c4d1788734921ce3e6554ac8c", SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 16-17: truncated \xXX escape ``` As it turns out, due to local bamboo git repo caching, I shouldn't use `auto` for `url` but conan should not fail due to windows paths in a deduced `url`. Of course if it didn't fail, I wouldn't have noticed this *issue* this easily, perhaps conan should give a warning or fail with a more descriptive message if the deduced `url` ends up being a local path instead of a proper git url. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: docker-compose create Possibility to just create but not run containers. This would be a useful feature for systemd based startups. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Backend specific transpiler stages ### What should we add? Now that we have the `StagedPassManager` class this gives us flexibility in how we can compose and hook into the transpilation pipeline at specific points. The first piece of this is transpiler stage plugins which is being done in #8305 the other piece which is needed is a way for backends to add additional backend specific passes to the compilation pipeline. The idea being some passes are hardware specific and having a mechanism for a backend to provide it's own `PassManager` that will be run at fixed points in the compilation pipeline will enable backend authors to implement these hardware specific passes in a standardized way and when the compilation target is that backend it will run the pass manager at the appropriate point in the compilation. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the explosion/spaCy codebase. Here's the problem: error in download cli ## How to reproduce the behaviour <!-- Include a code example or the steps that led to the problem. Please try to be as specific as possible. --> python -m spacy download en results in an traceback ending in ``` data = url_read(url, verify=ssl_verify) TypeError: url_read() got an unexpected keyword argument 'verify' ``` something like this solves it ``` --- spacy/cli/download.py +++ spacy/cli/download.py @@ -71,7 +71,7 @@ def download(model, direct=False, insecure=False, ca_file=None): def get_json(url, desc, ssl_verify): try: - data = url_read(url, verify=ssl_verify) + data = url_read(url) ``` ## Your Environment <!-- Include details of your environment. If you're using spaCy 1.7+, you can also type `python -m spacy info --markdown` and copy-paste the result here.--> * Operating System: Linux * Python Version Used: 3.6 * spaCy Version Used: master * Environment Information: 💫 Improve "spacy download" and support for different installation prefixes Currently `spacy download` seems to struggle when Python is installed into a different prefix. See #1220 . Possible resolutions could include an argument to `spacy download`. Ideal resolution would be detecting the correct prefix, and installing there. If you work on this, please try to pay attention to cross-platform and cross-version support. Try to use the built-in `pkg_resources` module. The tools in `spacy.compat` might assist with this. Using `pathlib.Path` for file-system manipulation is also helpful. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: update paths/links according new org ## 🐛 Bug With moving to the PyTorchLightning org we need to update builds, badges and other related links... Can you help me debug this systematically and explain your reasoning?