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

[User] I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: [Zookeeper] metadata.csv is missing many metrics emitted by the check Per the [`check.py` docstring](https://github.com/jeffwidman/integrations-core/blob/patch-2/zk/check.py#L10-L15): Duplicate information is being reported by both `mntr` and `stat` to keep backwards compatability. Example: `stat` reports: zookeeper.latency.avg `mntr` reports: zookeeper.avg.latency If available, make use of the data reported by `mntr` not `stat`. The duplicate `stat` reports are only kept for backward compatability. I noticed this in our Datadog account because we have multiple zookeeper installations so I see both metrics myself... Yet in the zookeeper check's `metadata.csv`, I only see the `stat` metrics, not the `mntr` metrics... for example, the `zookeeper.avg.latency` is missing. Since these metrics are missing from `metadata.csv`, are they billed as custom metrics rather than standard metrics? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Calculate Number of memoryslots required based on input schedules if not set. <!-- ⚠ 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? At qobj assembly time the number of `memory_slots` required should be calculated from the input schedules if it is not set. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Killing Search ! It appears we're changing direction on the Cloud Search API (it was Alpha, so no surprise here). Let's chop it from the library..... Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Loading Qiskit with no internet results in a ConnectionError <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### What is the current behavior? Loading Qiskit with no Internet results in a `ConnectionError`. ### Steps to reproduce the problem Run Qiskit without Internet connection. ### What is the expected behavior? Qiskit prompt no error at all. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Cannot copy a pulse enabled backend configuration <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior? Doing `copy.deepcopy(provider.backends.ibmq_almaden.configuration())` fails with the error: TypeError: __init__() missing 10 required positional arguments: 'n_uchannels', 'u_channel_lo', 'meas_levels', 'qubit_lo_range', 'meas_lo_range', 'dt', 'dtm', 'rep_times', 'meas_kernels', and 'discriminators' Non-pulse enabled backends work fine. e.g. ```python copy.deepcopy(provider.backends.ibmq_vigo.configuration()) ``` QasmBackendConfiguration(backend_name='ibmq_vigo', backend_version='1.0.2', basis_gates=['u1', 'u2', 'u3', 'cx', 'id'], conditional=False, coupling_map=[[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], gates=[GateConfig(id, [], gate id q { U(0,0,0) q; }, [[0], [1], [2], [3], [4]]), GateConfig(u1, ['lambda'], gate u1(lambda) q { U(0,0,lambda) q; }, [[0], [1], [2], [3], [4]]), GateConfig(u2, ['phi', 'lambda'], gate u2(phi,lambda) q { U(pi/2,phi,lambda) q; }, [[0], [1], [2], [3], [4]]), GateConfig(u3, ['theta', 'phi', 'lambda'], gate u3(theta,phi,lambda) q { U(theta,phi,lambda) q; }, [[0], [1], [2], [3], [4]]), GateConfig(cx, [], gate cx q1,q2 { CX q1,q2; }, [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]])], local=False, max_shots=8192, memory=True, n_qubits=5, open_pulse=False, simulator=False) ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: completion should favor displaying the actually completed part of the string rather than the prefix One screenshot says it all. ![screenshot_20160804_003842](https://cloud.githubusercontent.com/assets/1322974/17394140/6258d5e2-59dc-11e6-8805-a2cf9abd542d.png) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Also update progress_bar in training_epoch_end ## 🚀 Feature [PR 1357](https://github.com/PyTorchLightning/pytorch-lightning/pull/1357) implements training_epoch_end to log metrics. The comments in the issue suggest that it should behave like validation_epoch_end, but the PR only replicates the callbacks and metric logging. This feature would add updates to the progress bar as well. ### Motivation Motivation is for the same usecase as having a progress bar. While tensorboard or any other logger is a great resource to have. It is painful to set up in environments like slurm where you can only submit jobs and possibly cannot forward ports or set up the logging. ### Pitch The changes should only entail adding an update to tqdm [here](https://github.com/PyTorchLightning/pytorch-lightning/blob/b2707c9b2ebeac03f19a3939df9432ac8859d894/pytorch_lightning/trainer/training_loop.py#L503) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: State handler errors are not logged well Example: ```python from prefect import task, Flow def handler(*args, **kwargs): raise SyntaxError("unique informative message") @task(state_handlers=[handler]) def my_task(): pass f = Flow("reproducible-example", tasks=[my_task]) f.run() # INFO - prefect.FlowRunner | Beginning Flow run for 'reproducible-example' # INFO - prefect.FlowRunner | Starting flow run. # DEBUG - prefect.FlowRunner | Flow 'reproducible-example': Handling state change from Scheduled to Running # INFO - prefect.TaskRunner | Task 'my_task': Starting task run... # DEBUG - prefect.TaskRunner | Task 'my_task': Handling state change from Pending to Running # INFO - prefect.TaskRunner | Task 'my_task': finished task run for task with final state: 'Failed' # INFO - prefect.FlowRunner | Flow run FAILED: some reference tasks failed. # DEBUG - prefect.FlowRunner | Flow 'reproducible-example': Handling state change from Running to Failed ``` We should see an `ERROR` log displaying a repr of the exception that was thrown inside the state handler. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Start menu shortcuts not created in Python 3 Apparently this is because of the lack of a post_install script included by setup3.py (Reported by Christoph Gohlke on the mailing list) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Typo in XCLIP model ### System Info transformers version 4.25.1 ### Who can help? @NielsRogge @ydshieh There's a typo/mismatch for the xclip model pretrained config archive map between https://github.com/huggingface/transformers/blob/main/src/transformers/models/auto/configuration_auto.py#L333 and. https://github.com/huggingface/transformers/blob/main/src/transformers/models/x_clip/configuration_x_clip.py#L27 notice in the first example, there is underscore between X and CLIP whereas in the second example, there isn't. This leads to an error when initializing automodel ` huggingface_models = list(ALL_PRETRAINED_CONFIG_ARCHIVE_MAP.keys()) File "/usr/local/lib/python3.8/dist-packages/transformers/models/auto/configuration_auto.py", line 612, in keys self._initialize() File "/usr/local/lib/python3.8/dist-packages/transformers/models/auto/configuration_auto.py", line 602, in _initialize mapping = getattr(module, map_name) File "/usr/local/lib/python3.8/dist-packages/transformers/utils/import_utils.py", line 1086, in __getattr__ raise AttributeError(f"module {self.__name__} has no attribute {name}") AttributeError: module transformers.models.x_clip has no attribute X_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP` ### 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 1. from transformers import ALL_PRETRAINED_CONFIG_ARCHIVE_MAP 2. huggingface_models = list(ALL_PRETRAINED_CONFIG_ARCHIVE_MAP.keys()) ### Expected behavior Expect no errors to be 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 Qiskit/qiskit codebase. Here's the problem: Statevector and DensityMatrix expectation value ignores qargs for Pauli ops <!-- ⚠ 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**: 0.17.0 - **Python version**: - **Operating system**: ### What is the current behavior? The `expectation_value` method of `Statevector` and `DensityMatrix` returns the incorrect value for a Pauli or SparsePauliOp operator if non-trivial qargs are used. ### Steps to reproduce the problem Compare the expectation value for a `Pauli` op to `Pauli.to_matrix()` computed via the `Operator` method. ### What is the expected behavior? The operator and Pauli methods should be equal for equivalent operators. ### Suggested solutions This is because the qargs are not used in the internal pauli expval function Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Remove codepath for Python < 3.6 This issue is in priority for new for new contributors; even if you are a new contributor lease fix only one of the places linked to below; to leave a chance for someone else to contribute. We dropped Python 3.5 a few minutes ago : https://github.com/ipython/ipython/pull/11937 There is likely a number of place that use codepath only for Python 3.5 and below: ``` tools/gen_latex_symbols.py 14:if sys.version_info[0] < 3: IPython/core/async_helpers.py 102: if sys.version_info >= (3,8): 133: if sys.version_info < (3, 7): 152: if sys.version_info > (3, 8): IPython/core/interactiveshell.py 119:if sys.version_info > (3,6): 169:if sys.version_info > (3, 5): 2248: if sys.version_info >(3,5): IPython/lib/pretty.py 102:DICT_IS_ORDERED = sys.version_info >= (3, 6) IPython/terminal/interactiveshell.py 418: if sys.version_info >= (3, 6): IPython/testing/iptest.py 116: In [3]: test_for('sys', (2,6), callback=lambda sys: sys.version_info) IPython/extensions/tests/test_autoreload.py 143: @skipif(sys.version_info < (3, 6)) IPython/lib/tests/test_display.py 52: if sys.version_info >= (3, 6): IPython/core/tests/test_async_helpers.py 17:if sys.version_info > (3, 5): 204: sys.version_info >= (3, 6), IPython/core/tests/test_completer.py 474: if sys.version_info > (3, 4): ``` Some of these can be cleaned up either because they are always True or False now. If you are a new contributor and look to make one of your first contribution; try to find one of these place in the IPython codebase (line number may have shifted a bit); understand what it does, and try to clean it up to make the code base simpler. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Remove __iter__ and __contains__ from Connection in storage @tseaver WDYT? This is part of a movement towards making `Connection` more of a background / low-level / raw interface (like it is for datastore). What's more ``` python for bucket in connection.get_all_buckets(): ... ``` seems much more clear than ``` python for bucket in connection: ... ``` We could potentially make up for `__contains__` by adding a `Bucket.exists` method / property. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Cannot use URL as build context According to https://docs.docker.com/compose/compose-file/#/context it should be possible to use URL to a git repository for build context, but I am having no luck docker-py version: 1.8.1 CPython version: 2.7.9 OpenSSL version: OpenSSL 1.0.1e 11 Feb 2013 docker-compose.yml ``` version: '2' services: test: build: context: https://github.com/docker/compose.git ``` docker-compose build ``` Building test Traceback (most recent call last): File "<string>", line 3, in <module> File "compose/cli/main.py", line 58, in main File "compose/cli/main.py", line 109, in perform_command File "compose/cli/main.py", line 215, in build File "compose/project.py", line 300, in build File "compose/service.py", line 719, in build File ".tox/py27/lib/python2.7/site-packages/docker/api/build.py", line 104, in build File ".tox/py27/lib/python2.7/site-packages/docker/utils/decorators.py", line 46, in inner AttributeError: 'NoneType' object has no attribute 'update' docker-compose returned -1 ``` Unable to pull private images when using credentials helper I'm using the secretservice credentials helper with docker 1.11.2 and docker-compose 1.8.0-rc1. If I try to run `docker-compose up`, it fails to pull private images from our gitlab registry. --verbose says: ``` docker.auth.auth.resolve_authconfig: No entry found docker.api.image.pull: No auth config found ``` Pulling the image manually using docker pull works. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: API Endpoint - Config **Description** Hello, We need an endpoint that allows us to **read** the current Airflow configuration. - GET /config More details about API Endpoints: https://github.com/apache/airflow/issues/8118 **Use case / motivation** N/A **Related Issues** N/A Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: --alt-hint flag no longer used; remove it from CLI API https://github.com/conda/conda/pull/5427#issue-231367721 > I couldn't figure out what `--alt-hint` did, so I looked at the source code only to find that it doesn't do anything. Now I'm removing the option so no one else wastes their time the same way. --alt-hint flag no longer used; remove it from CLI API https://github.com/conda/conda/pull/5427#issue-231367721 > I couldn't figure out what `--alt-hint` did, so I looked at the source code only to find that it doesn't do anything. Now I'm removing the option so no one else wastes their time the same way. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Deprecation warnings are reversed **Describe the bug** When I use `python3` module with min_version where it was not deprecated yet, I get deprecation warning and a “feature too new” warning: ``` DEPRECATION: Project targeting '>= 0.47' but tried to use feature deprecated since '0.48.0': python3 module Build targets in project: 0 WARNING: Project specifies a minimum meson_version '>= 0.47' but uses features which were added in newer versions: * 0.48.0: {'python3 module'} WARNING: Deprecated features used: * 0.48.0: {'python3 module'} ``` When I bump the min_version to 0.48 both warnings disappear. **To Reproduce** ``` project('almanah', 'c', meson_version: '>= 0.47') python3 = import('python3') python = python3.find_python().path() ``` **Expected behavior** * Do not show deprecation warning with min_version < 48 * Show deprecation warning with min_version ≥ 48 * Never show “feature too new” warning. **system parameters** * native build * NixOS * Python 3.7.7 * Meson 0.54.1 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: array_split incorrect behavior with array size bigger MAX_INT32 `numpy.array_split()` produces empty last chunk in case of original array size is bigger than MAX_INT32. ### Reproducing code example: **NOT OK**: ``` import numpy as np test = np.random.rand(1 << 31, 1) for chunk in np.array_split(test, 2): print(chunk.shape) >>>(1073741824, 1) >>>(0, 1) ``` **NOT OK**: ``` import numpy as np test = np.random.rand(1 << 31, 1) for chunk in np.array_split(test, 3): print(chunk.shape) >>>(715827883, 1) >>>(715827883, 1) >>>(0, 1) ``` **OK**: ``` import numpy as np test = np.random.rand(1 << 30, 1) for chunk in np.array_split(test, 2): print(chunk.shape) >>>(536870912, 1) >>>(536870912, 1) ``` **OK**: ``` import numpy as np test = np.random.rand((1 << 31) - 1, 1) for chunk in np.array_split(test, 2): print(chunk.shape) >>>(1073741824, 1) >>>(1073741823, 1) ``` ### Numpy/Python version information: ``` numpy.__version__ >>> 1.14.4 sys.version >>> 3.5.2 |Continuum Analytics, Inc.| (default, Jul 5 2016, 11:41:13) [MSC v.1900 64 bit (AMD64)] ``` 112 GB of RAM to exclude the problem with the memory lack. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: vs_module_defs ignored when cross-compiling to Windows with clang `gen_vs_module_defs_args` [checks if the compiler type is `GCC_CYGWIN` or `GCC_MINGW` to decide whether or not to pass the def file along](https://github.com/mesonbuild/meson/blob/807981889f0cbecf165d0dc8bfb1e980adac58d8/mesonbuild/compilers/compilers.py#L1485), which results in it dropping it on the floor when the compiler type is `CLANG_MINGW`. It seems like there are a few other places where there are similar checks, which probably also breaks c_winlibs. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ExecutePreprocessor should run from the notebook's directory If you run `nbconvert` from the command line with the `--execute` flag, but are not in the same directory as the notebook, then the notebook won't run successfully if it depends on external files because the kernel will have been started in the cwd rather than the notebook's directory. So probably `ExecutePreprocessor` should chdir to the notebook's directory first, then chdir back to the original directory. I'll make a PR for this later today. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 short option for "--use-index-cache" `--use-index-cache` makes search and info much faster, but it's a lot of characters to type. Could you add a short equivalent? To propose something: it could be a capital C like in yum/dnf: ``` -C, --cacheonly Run entirely from system cache, don't update the cache and use it even in case it is expired. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: run_target Permission Denied error should be clearer Minimal example - [folder.zip](https://github.com/mesonbuild/meson/files/1530489/folder.zip) I ran - `mkdir build && cd build && meson .. && ninja` and everything works. Now I run - `ninja myscript` and it throws errors - ``` [0/1] Running external command myscript. Traceback (most recent call last): File "/usr/bin/meson", line 37, in <module> sys.exit(main()) File "/usr/bin/meson", line 34, in main return mesonmain.run(sys.argv[1:], launcher) File "/usr/lib/python3.6/site-packages/mesonbuild/mesonmain.py", line 311, in run sys.exit(run_script_command(args[1:])) File "/usr/lib/python3.6/site-packages/mesonbuild/mesonmain.py", line 278, in run_script_command return cmdfunc(cmdargs) File "/usr/lib/python3.6/site-packages/mesonbuild/scripts/commandrunner.py", line 60, in run pc = run_command(src_dir, build_dir, subdir, meson_command, command, arguments) File "/usr/lib/python3.6/site-packages/mesonbuild/scripts/commandrunner.py", line 39, in run_command return subprocess.Popen(command_array, env=child_env, cwd=cwd) File "/usr/lib/python3.6/subprocess.py", line 709, in __init__ restore_signals, start_new_session) File "/usr/lib/python3.6/subprocess.py", line 1344, in _execute_child raise child_exception_type(errno_num, err_msg, err_filename) PermissionError: [Errno 13] Permission denied: '/home/agauniyal/temp/scripts/script.sh' FAILED: meson-myscript /usr/bin/python /usr/bin/meson --internal commandrunner /home/agauniyal/temp/ /home/agauniyal/temp/build '' /usr/bin/python /usr/bin/meson /home/agauniyal/temp/scripts/script.sh ninja: build stopped: subcommand failed. ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Empty args list results in unhelpful error Having the Dockerfile ``` Dockerfile FROM scratch ``` and the `docker-compose.yml` file ``` yml version: "2" services: web: build: context: . args: ``` Gives me the following error on any docker-compose command (`config`, `build`) ``` Traceback (most recent call last): File "<string>", line 3, in <module> File "/code/compose/cli/main.py", line 55, in main File "/code/compose/cli/docopt_command.py", line 23, in sys_dispatch File "/code/compose/cli/docopt_command.py", line 26, in dispatch File "/code/compose/cli/main.py", line 169, in perform_command File "/code/compose/cli/main.py", line 210, in config File "/code/compose/config/config.py", line 288, in load File "/code/compose/config/config.py", line 397, in process_config_file File "/code/compose/config/validation.py", line 371, in validate_against_fields_schema File "/code/compose/config/validation.py", line 412, in _validate_against_schema File "/code/compose/config/validation.py", line 362, in process_errors File "/code/compose/config/validation.py", line 362, in <genexpr> File "/code/compose/config/validation.py", line 360, in format_error_message File "/code/compose/config/validation.py", line 248, in handle_generic_service_error File "/code/compose/config/validation.py", line 328, in _parse_oneof_validator File "/code/compose/config/validation.py", line 303, in _parse_valid_types_from_validator File "/code/compose/config/validation.py", line 188, in anglicize_validator TypeError: coercing to Unicode: need string or buffer, dict found docker-compose returned -1 ``` Using `docker-compose version 1.6.0, build d99cad6` on Ubuntu 15.10. I see the empty dictionary is a stupid mistake, it came up when I commented out all the arguments, but would it be possible to provide a helpful error message here? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: MPL drawer does not support controlled gates ### Information - **Qiskit Terra version**: master - **Python version**: 3.7 - **Operating system**: MacOS ### What is the current behavior? The matplotlib drawer does not print controlled gates correctly. ### Steps to reproduce the problem ``` qr = QuantumRegister(3, 'q') circuit = QuantumCircuit(qr) circuit.append(HGate().control(2), [qr[0], qr[1], qr[2]]) circuit.draw('mpl') ``` ![image](https://user-images.githubusercontent.com/766693/73392493-f2480800-42a7-11ea-896b-9b934819924d.png) ### What is the expected behavior? Something along the text drawer: ``` q_0: |0>──■── │ q_1: |0>──■── ┌─┴─┐ q_2: |0>┤ 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 googleapis/google-cloud-python codebase. Here's the problem: [QUESTION] Check validity of `setup.py` in build H/T to http://inre.dundeemt.com/2014-05-17/pypi-setup-py-keeping-a-dry-long_description/ (I was Googling around for DRY in `setup.py`) ``` python setup.py check --restructuredtext --strict ``` --- For example, running it on the post #2442 version gives: ``` $ python setup.py check --restructuredtext --strict running check warning: check: Duplicate implicit target name: "contributing". warning: check: Duplicate implicit target name: "license". error: Please correct your package. ``` because we have sections named license and contributing as well as links with those names. This could be fixed via ``` diff diff --git a/README.rst b/README.rst index 715368b..bbf0f72 100644 --- a/README.rst +++ b/README.rst @@ -96,16 +96,16 @@ Contributing Contributions to this library are always welcome and highly encouraged. -See `CONTRIBUTING`_ for more information on how to get started. +`See CONTRIBUTING`_ for more information on how to get started. -.. _CONTRIBUTING: https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/CONTRIBUTING.rst +.. _See CONTRIBUTING: https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/CONTRIBUTING.rst License ------- -Apache 2.0 - See `LICENSE`_ for more information. +Apache 2.0 - `See LICENSE`_ for more information. -.. _LICENSE: https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/LICENSE +.. _See LICENSE: https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/LICENSE .. |build| image:: https://travis-ci.org/GoogleCloudPlatform/google-cloud-python.svg?branch=master :target: https://travis-ci.org/GoogleCloudPlatform/google-cloud-python ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [question][bug] XcodeDeps with custom configuration does not behave as expected ### What is your question? Hi, I'm trying to understand the example from the [XcodeDeps tutorial with custom configurations](https://docs.conan.io/2/reference/tools/apple/xcodedeps.html#custom-configurations). I've added the `conanfile.py` from the example and ran ``` > conan profile show Host profile: [settings] arch=armv8 build_type=Release compiler=apple-clang compiler.cppstd=gnu20 compiler.libcxx=libc++ compiler.version=14 os=Macos Build profile: [settings] arch=armv8 build_type=Release compiler=apple-clang compiler.cppstd=gnu20 compiler.libcxx=libc++ compiler.version=14 os=Macos > conan install . --output-folder=build --build=missing -o 'shared=True' ``` I was expecting that the config specifier in the resulting xcconfig files would now reflect the adapted configuration name, e.g. `ReleaseShared` - I thought that was the whole point. But when I look inside the resulting `conan_zlib_zlib_release_arm64.xcconfig` then it's just `HEADER_SEARCH_PATHS_zlib_zlib[config=Release][arch=arm64][sdk=macosx*] ...`. Is my understanding wrong? We have several differently named Debug and Release configurations, e.g. "Release with asserts" and for that I need an xcconfig for all of them. ### Have you read the CONTRIBUTING guide? - [X] I've read the CONTRIBUTING guide Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: gdbus_codegen should return two different targets (.c, .h) With glib<2.56.2, gdbus_codegen() returns twice the same custom_target, with two outputs. A bug occurs when this return value is used for generate_gir(). The source list then contains twice the .c, and zero times the .h… Maybe gdbus_codegen() should return two custom_targets, with each one output (once the .c, once the .h). EDIT : Actually, after reading the source of generate_gir, I suppose the bug is there. ``` gir_filelist.write(os.path.join(state.environment.get_build_dir(), state.backend.get_target_dir(s), s.get_outputs()[0]) + '\n') ``` Why only `s.get_outputs()[0]` ? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [question] How to not include some libs in conanbuildinfo.props Conan version 1.19.0 I have a dependency on boost (boost/1.71.0@conan/stable). I'm using the visual_studio generator with VS2017 This adds *all* of the boost libs to conanbuildinfo.props which causes my build to fail. I don't completely understand why this used to be OK with 1.68 and now fails with that too after moving my cache to a different drive (perhaps it was due to installing vs2019 alongside vs2017). But regardless it would be good if I could either cherrypick which libs to include or remove specific ones from the list. For example I don't want to include any of the stacktrace libs which result in duplicate symbols. I can't figure out how to do it. If I specify any of the 'without_xxx' options then it rebuilds the whole of the boost dependency which I would rather avoid - I just want to control which libs it puts in the vs props file! I was trying to see if there was some place I could remove them from deps_cpp_info but it doesn't look like there is a place to put that (i.e. an event just before the generators are run). Perhaps overriding the generator could do the trick but it seems like that would be a bit of a sledgehammer and not all that clean. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 dies with a TypeError if project version number is an integer instead of a string **Describe the bug** If I mistakenly specify the project version number as an integer rather than a string, Meson prints a few pages of stack trace rather than a useful error message. The last lines of the traceback are: ``` File "/home/james/src/ubuntu/meson/mesonbuild/interpreter.py", line 3216, in func_project mlog.log('Project version:', mlog.bold(self.project_version)) File "/home/james/src/ubuntu/meson/mesonbuild/mlog.py", line 225, in log arr = process_markup(args, True) File "/home/james/src/ubuntu/meson/mesonbuild/mlog.py", line 178, in process_markup arr.append(arg.get_text(keep)) File "/home/james/src/ubuntu/meson/mesonbuild/mlog.py", line 128, in get_text text = self.code + self.text + AnsiDecorator.plain_code TypeError: can only concatenate str (not "int") to str ``` **To Reproduce** I can trigger this with the following trivial build file: ``` project('foo', 'C', version: 42) ``` **Expected behavior** I would expect Meson to either error out telling me that the version number must be a string, or to actually accept the integer version number. It would probably be more consistent to reject such projects, since that's effectively the current behaviour with the TypeError. **system parameters** * Ubuntu 20.04 * Python 3.8.5 * Meson 0.56.99 (from git at revision 8992729). * Ninja 1.10.0 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Reduce number of selinuxenabled and restorecon calls Currently, when installing headers, meson will execute `selinuxenabled` for each header, and if enabled, call `restorecon` to alter the selinux context. This has a fairly high overhead at install time. If I make a dummy `selinuxenabled` shell script that just does `exit 1`, the time to install Builder's header files goes from a couple of seconds down to imperceptible. There seems to be a couple of strategies to improve the performance here, and mix-n-match as appropriate. * Use /usr/bin/install when available to install files instead of Python's copy_file(). This would probably gain some optimizations they do there for faster copies (not a big deal) but also allow for the `-Z --context=ctx` option. * Cache the result of `selinuxenabled` * Cache the location of `which restorecon` to avoid traversing `$PATH` for each `execve()`. * Coalesce `restorecon` calls. It's not clear to me if these can be coalesced into a single call, or per-directory. `man restorecon` does imply that you can call it with multiple files at least. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the kubeflow/pipelines codebase. Here's the problem: Bug: Dataset not found in US I'm getting an error while running the BigQuery kfp component to export some data from BQ to GCS. It says: `google.api_core.exceptions.NotFound: 404 Not found: xxx was not found in location US` which is correct, because the dataset is in EU, but I couldn't find any way to change the default behaviour of looking for datasets in the US. On our regular codebase we specify the location on the BigQuery client initialisation, but the code here just uses the default: https://github.com/danicat/pipelines/blob/master/component_sdk/python/kfp_component/google/bigquery/_query.py It is a one line change in the code, but I don't know how to rebuild the ml-pipeline container. The developer guide doesn't mention how to do it (but it does explain how to build containers for other components of the solution). Please help! :) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Suboptimal logging from `import('python').find_installation()` The output from `import('python').find_installation('python')` when `python` is not found is confusing. The following `meson.python` ``` project('test') py = find_program('python3.12', required: false) py = import('python').find_installation('python3.12') ``` results in this output: ``` Program python3.12 found: NO Program nonexistingprogram found: NO meson.build:5:22: ERROR: python3.12 not found ``` Where `Program python3.12 found: NO` comes from the `find_program()` call and `Program nonexistingprogram found: NO` comes from the `find_installation()` call. I think that `nonexistingprogram` would be better replaced with something more descriptive. This is on macOS with Meson 1.1.0. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Mutating list while iterating https://github.com/PrefectHQ/prefect/blob/8c886b64df8e264791ec1d0e401cbbd6c4719af5/src/prefect/agent/local/agent.py#L75-L77 It's a no-no to mutate the list while iterating. Indeed, in my tests, a loop like this fails to examine the _next_ item in the list, so it's actually not working as intended. For instance: ``` x = [0,1,2,3,4,5,6,7,8] for idx, y in enumerate(x): print(idx, y) if y == 3: z = x.pop(idx) print(idx, y) ``` yields this output; note that the `4` element in the list is never examined. ``` 0 0 0 0 1 1 1 1 2 2 2 2 3 3 3 3 4 5 4 5 5 6 5 6 6 7 6 7 7 8 7 8 ``` To be fair this is somewhat harmless, because the process will likely be examined in the next heartbeat call, or in the worst case after all of the processes earlier in the list are completed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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/BUG: np.sum supports generators, unlike the other reduction helpers ```python >>> np.sum(a for a in range(10)) 45 >>> np.prod(a for a in range(10)) <generator object <genexpr> at 0x0000023BAF7ED1A8> ``` Generators are not considered `array_like`, so the result for `sum` does not match the documentation. Introduced in a13aad3ac33b629f3e696b4d4d5dbf4b5605d567 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Flipping of gate direction in Transpiler for CZ gate ### What should we add? The current version of the transpiler raises the following error when attempting to set the basis gate of a backend as `cz` ` 'Flipping of gate direction is only supported for CX, ECR, and RZX at this time, not cz.' ` As far as I'm aware and through my own testing flipping of a CZ should be easy to implement as it's "flip" produces the same unitary operator. There is no direct identity needed. If this could get added that would be great! I would have done this via a pull request myself but it seems "too easy" of a solution that I must be missing something. The Qiskit file that would need changing. https://github.com/Qiskit/qiskit-terra/blob/1312624309526812eb62b97e0d47699d46649a25/qiskit/transpiler/passes/utils/gate_direction.py Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Cap batch size by number of training samples when using auto_scale_batch_size <!-- ### 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 The batch size finder sets an unrealistically high batch size if all samples of the training dataset fit into one batch. ``` ... Batch size 8388608 succeeded, trying batch size 16777216 Batch size 16777216 succeeded, trying batch size 33554432 Batch size 33554432 succeeded, trying batch size 67108864 Finished batch size finder, will continue with full run using batch size 67108864 ``` ### To Reproduce Steps to reproduce the behavior: 1. Run [Mnist Example](https://colab.research.google.com/drive/1F_RNcHzTfFuQf-LeKvSlud6x7jXYkG31#scrollTo=HOk9c4_35FKg) with `auto_scale_batch_size=True` (one needs to remove hardcoded batch size and set `self.batch_size`). ### Expected behavior Batch size search space should not be larger than number of available training samples. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: The "get_statevector" and "get_unitary" methods of the result objects of statevector and unitary simulators seem to ignore the "decimals" parameter ### Informations - **Qiskit version**: 0.20.1 - **Python version**: The one on the Jupyter server of the IBM Q Experience - **Operating system**: The one on the Jupyter server of the IBM Q Experience ### What is the current behavior? The "get_statevector" and "get_unitary" methods of the result objects of statevector and unitary simulators seem to ignore the "decimals" parameter ### Steps to reproduce the problem %matplotlib inline # Importing standard Qiskit libraries and configuring account from qiskit import QuantumCircuit, execute, Aer, IBMQ from qiskit.compiler import transpile, assemble from qiskit.tools.jupyter import * from qiskit.visualization import * # Loading your IBM Q account(s) provider = IBMQ.load_account() circ = QuantumCircuit(1,1) circ.h(0) backend = Aer.get_backend('statevector_simulator') job = execute(circ, backend) result = job.result() outputstate = result.get_statevector(circ, decimals=3) print(outputstate) outputstate = result.get_statevector(circ, decimals=1) print(outputstate) outputstate = result.get_statevector(circ) print(outputstate) ***** Something similar happens with the get_unitary method when the unitary simulator is used ### What is the expected behavior? The number of decimals of the outputstate should be the one used as parameter ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add support for Cloud Storage Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: IPython Notebook Server URL now requires "tree" at the end of the URL? (version 2.2) I've been using a bookmark to go visit my IPython notebook server so I was surprise to get a 404 Server Not Found message after I upgraded to version 2.2. So after some trial and error, I found out I needed to add "tree" to the end of the URL. Was this documented somewhere? I was going to maybe mention this as an issue at their Github site. I did look at the docs, but no where does it mention that you now have to add "tree" at the end of the URL. Anyone else notice this or is it just me? Does the documentation need to be updated to reflect this? Thanks in advance. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Expose stable flag on XLA sort XLA's sort HLOs have an "is_stable" attribute, which defaults to false; in practice, the sort used on CPU is stable but the one on GPU isn't. This means that e.g. this code will fail on GPU: ```python x = onp.array([5, 1, 2, 6, 5, -2, 2, 0, 0, 1, 0, 4]) assert jnp.argsort(x) == onp.argsort(x) ``` and #2760 won't match NumPy behavior (ties to earliest) either. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: windows msvc cross-compilation linker arguments are wrong for sanity-check given a cross-file: `` [binaries] c = 'C:\\\\Program Files (x86)\\\\Microsoft Visual Studio\\\\2017\\\\Professional\\\\VC\\\\Tools\\\\MSVC\\\\14.11.25503\\\\bin\\\\Hostx64\\\\x86\\\\cl' [properties] c_link_args = ['/LIBPATH:C:\\\\Program Files (x86)\\\\Microsoft Visual Studio\\\\2017\\\\Professional\\\\VC\\\\Tools\\\\MSVC\\\\14.11.25503\\\\lib\\\\x86', '/LIBPATH:C:\\\\Program Files (x86)\\\\Windows Kits\\\\NETFXSDK\\\\4.6.1\\\\lib\\\\um\\\\x86', '/LIBPATH:C:\\\\Program Files (x86)\\\\Windows Kits\\\\10\\\\lib\\\\10.0.16299.0\\\\ucrt\\\\x86', '/LIBPATH:C:\\\\Program Files (x86)\\\\Windows Kits\\\\10\\\\lib\\\\10.0.16299.0\\\\um\\\\x86', '/MACHINE:X86'] `` it tries to run cl.exe sanity-check.c with linker arguments which are not recognized (linker arguments must be prefixed with /link and passed after all other options and source files) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Support IterableDatasets for validation and test, not just train set [blocked by #953] ## 🚀 Feature Currently Lightning supports `IterableDatasets` only in the training set (see [code](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/pytorch_lightning/trainer/data_loading.py#L177)). This makes them second-class citizens compared to the map-style datasets, and supporting them seems a low hanging fruit. ### Motivation This enables having larger test sets that may not fit into a machine's memory (they could be very large in production settings, or of modest size running in a student's cheap laptop). Moreover, datasets are usually generated together (eg train, val, test can come from the same process). It is very likely that the same process has the same signature, so you may end up having IterableDatasets even when their size may not deem it strictly necessary. ### Pitch <!-- A clear and concise description of what you want to happen. --> Changing a few lines of code by bringing in the checks we are doing for training should be enough unless I'm missing something. ### Additional context <!-- Add any other context or screenshots about the feature request here. --> Are there any gotchas that make this harder than it looks? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: db+ string in result backend but not metadata secret ### Official Helm Chart version 1.1.0 (latest released) ### Apache Airflow version 2.1.3 (latest released) ### Kubernetes Version 1.21 ### Helm Chart configuration data: metadataSecretName: "airflow-metadata" resultBackendSecretName: "airflow-result-backend" ### Docker Image customisations _No response_ ### What happened If we only supply 1 secret with ``` connection: postgresql://airflow:password@postgres.rds:5432/airflow?sslmode=disable ``` To use for both metadata and resultBackendConnection then we end up with a connection error because resultBackendConnection expects the string to be formatted like ``` connection: db+postgresql://airflow:password@postgres.rds:5432/airflow?sslmode=disable ``` from what i can tell ### What you expected to happen I'd expect to be able to use the same secret for both using the same format if they are using the same connection. ### How to reproduce Make a secret structured like above to look like the metadataConnection auto-generated secret. use that same secret for the result backend. deploy. ### Anything else Occurs always. To get around currently we make 2 secrets one with just the db+ prepended. ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Replace QiskitError in qiskit/circuit/* with CircuitError Following the suggestion in https://github.com/Qiskit/qiskit-terra/issues/601#issuecomment-471257119 Also #3203 needs `CircuitError`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Remove support for API_KEY in translation See #2731 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Replace `config.output_attentions` parameter with function argument `output_attentions` # 🚀 Feature request Currently the user has to decide whether the model should output the attentions when she/he creates the config of a model: config.output_attentions = True/False. It would be nice if the user can decide this when calling the models `forward()` / `call()` with a flag `output_attentions`. This should be done for all TF and PT models that can output attentions. A very similar recent change was done for the variable `config.output_past` -> see PR:#3734 ## Motivation The user has more flexibility when the hidden states should be output or not. ## Your contribution If someone feels like contributing to the library, this would be a great first PR. I'm very happy to guide the contributor through the PR! Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: TranspilerAccessError should be deprecated in favor of TranspilerError Following the suggestion in https://github.com/Qiskit/qiskit-terra/issues/601#issuecomment-471257119 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: no tab completion in terminal when using debugger @Carreau I chatted with Brian Granger, who said I should bring this to your attention. OS: Mac OS 10.10.5 python -V: Python 3.5.2 : Anaconda custom (x86_64) ipython --version : 5.0.0 source of ipython: conda-forge build When I am in the ipython terminal and using the debugger, tab completion does not work (i.e., I just get a tab). This happened in the version of IPython I had before installing this a few minutes ago, so I wonder if it's something wrong with the conda-forge build? I'm at Scipy, so if someone wants a demo of the problem, I'm happy to do that. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: python extension_module should not link to python library on macOS and Linux Continuing from https://gitlab.gnome.org/GNOME/pygobject/issues/253#note_307567 `python.extension_module()` needs to be passed `python_dep` explicitly, which makes sense because meson can't always know what python the project wants to use, but it should not explicitly link to the Python `so` or `dylib` (but it should link to the `dll`) since it's a `shared_module()`. Currently projects need to use `python_dep.partial_dependency(compile_args: true)` on non-Windows platforms, but we should handle this automatically. CCing @MathieuDuponchelle @tschoonj Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 rm` on windows waits for y/N answer before the question is shown. When I do a **docker-compose rm** it just shows a new empty line and then nothing. By trial and error I found out that the "Are you sure?" question doesn't display but it waits for input. Look at the flow below... ``` $ docker-compose rm y Removing afdriftmysql_phpmyadmin_1 ... done Removing afdriftmysql_db_1 ... done Going to remove afdriftmysql_phpmyadmin_1, afdriftmysql_db_1 Are you sure? [yN] ``` I would expect the question to be asked before having to answer it. - Windows 7 Pro x64 - docker-toolbox 1.10.0 - git 2.6.2 x64 from git-scm.com Can you help me debug this systematically and explain your reasoning?


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

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


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Chaining configure_file() can cause ninja to go in an infinite loop ```meson cfg1 = configure_file( ... ) cfg2 = configure_file( input: cfg1, ... ) ``` Currently this is not possible, because cfg1 is saved in builddir and absolute path of the cfg1 File object is trashed - https://github.com/mesonbuild/meson/blob/7882549f860730dda43fcc825b5beb75b0209410/mesonbuild/interpreter.py#L2338, thus cfg2 is looking for cfg1 in the sourcedir. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: ENH: Implement `np.floating.as_integer_ratio` To match the builtin `float.as_integer_ratio` This would allow conversion from `longdouble` to `Decimal`, and to `Fraction` if https://bugs.python.org/issue28716 is resolved Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: MPL circuit drawer shifts creg if n_qubits=n_clbits=1 <!-- ⚠ 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**: 0.9 - **Python version**: - **Operating system**: ### What is the current behavior? <img width="158" alt="Screen Shot 2019-08-24 at 6 53 44 AM" src="https://user-images.githubusercontent.com/1249193/63636348-26a20300-c63c-11e9-959c-0bb5758b97ff.png"> ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Flow should serialize its environment no matter what Currently, `flow.serialize()` only serializes its environment if `build=True`. I _believe_ this is a vestige of old environment behavior and can be updated so the behavior is consistent. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 emits incorrect warning when uninstalled_variables keyword is added to pkgconfig generator Meson incorrectly emits warning messages `WARNING: Passed invalid keyword argument "uninstalled_variables".` `WARNING: This will become a hard error in the future.` when the uninstalled_variables keyword is added to a pkgconfig.generate() statement. The variables are correctly added to the uninstalled .pc file. meson version 0.57.1 ubuntu 20.04 LTS Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: BUG: Unexpected pad value when padding an uint64 array This seems to be an edge case, nevertheless I wanted to report this behavior. Especially because I find it kind of interesting. ### Description When padding an array of dtype uint64 there are some cases when mode "constant" doesn't append with the correct value but instead pads with 0. **Code to reproduce** ```python >>> offset = 1024 >>> pad_value = np.uint64(-1024) >>> x = np.zeros(5, dtype=np.uint64) - offset >>> np.pad(x, 1, mode="constant", constant_values=pad_value) array([ 0, 18446744073709551615, 18446744073709551615, 18446744073709551615, 18446744073709551615, 18446744073709551615, 0], dtype=uint64) ``` **Expected Result** ```python array([18446744073709551615, 18446744073709551615, 18446744073709551615, 18446744073709551615, 18446744073709551615, 18446744073709551615, 18446744073709551615], dtype=uint64) ``` There are some interesting observations to be made: - This only happens for uint64 (uint32, uint16 and below are fine). - This behavior is only visible if `offset` is in [1, 1024] and the argument of `np.uint64` in `pad_value` is in [-1, -1024]. - `np.pad(x, 1, mode="minimum")` (or `maximum`) works fine, regardless of `offset`. ### Platform, versions, etc. NumPy: 1.14.2 Operating system: Manjaro 17.1.7, x86_64 Linux 4.14.36-1-MANJARO Python version: 3.6.5 (Anaconda, [GCC 7.2.0] on linux) I hope this is reproduce-able and not a weird quirk of my setup. Feel free to ask for further diagnostics if you can think of any. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: COMPOSE_HTTP_TIMEOUT is set but incorrect value is print when timeout is reached I set COMPOSE_HTTP_TIMEOUT to 300, but when it times out the error message says: ``` An HTTP request took too long to complete. Retry with --verbose to obtain debug information. If you encounter this issue regularly because of slow network conditions, consider setting COMPOSE_HTTP_TIMEOUT to a higher value (current value: 60). ``` I looked at the source on master and it appears to still be using the const HTTP_TIMEOUT in the message. This is: Docker version 1.11.2, build b9f10c9 docker-compose version 1.7.1, build 0a9ab35 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Versioning the format of the lockfile? @memsharded I think we should add a field to a generated lockfile with the version, for example "0.1". I'm not thinking about making Conan compatible with older lockfiles necessarily, but it might be useful to: - Fail accordingly if the format is not supported. - Maybe other tools (I'm thinking about jfrog-cli and build-info, if maybe it could leverage from the lockfiles for a better build-info), but they will need to know the input format-version. (Very preliminary thoughts) This is pretty speculative but I think it is real enough and cheap to introduce just a field. WDYT? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [Request] Verify User Project methods comments are not ambiguous General Request: Verify that the comments are clear for methods which accept User Project with and without Requester Pays. Here's a distinction between Requester Pays and User Project: User Project: Is a request metadata field that is used to assign Storage operational costs to a specified project. Requester Pays: Is a bucket-level metadata field that is used to enforce the use of the User Project metadata field to assign operational costs when an operation is made on a Bucket and its objects. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `FeaturesManager.get_model_from_feature` should be a staticmethod ## Environment info <!-- You can run the command `transformers-cli env` and copy-and-paste its output below. Don't forget to fill out the missing fields in that output! --> - `transformers` version: 4.17.0 - Platform: Linux (Pop!_OS) - Python version: 3.9.6 - PyTorch version (GPU?): 1.9.0+cu111 - Tensorflow version (GPU?): / - Using GPU in script?: No - Using distributed or parallel set-up in script?: No ### Who can help @michaelbenayoun who committed #14358 ## Information Type error for Pylance in VsCode: ![Screenshot from 2022-03-22 23-42-33](https://user-images.githubusercontent.com/66584117/159596983-44a93943-7568-41af-8026-e99a1c2c06d1.png) ## Fix https://github.com/huggingface/transformers/blob/77321481247787c97568c3b9f64b19e22351bab8/src/transformers/onnx/features.py#L336-L345 I believe the above function should have the `@staticmethod` decorator. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: prioritize channels within multi-channels Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Latex drawer leaves too much space at end of circuit <!-- ⚠ 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**: 0.9.0 - **Python version**: 3.7.4 - **Operating system**: Windows 10 [18362] ### What is the current behavior? The latex drawer draws too much "empty circuit" after the last gate. It's already visible on a small circuit: ![toolong1](https://user-images.githubusercontent.com/29467667/66515901-35575300-eae0-11e9-868e-09571798902c.png) But the larger the circuit, the more noticeable it gets: ![toolong2](https://user-images.githubusercontent.com/29467667/66515934-46a05f80-eae0-11e9-80df-a0383a5fe560.png) ### Steps to reproduce the problem Draw any circuit using the latex drawer. ### What is the expected behavior? Draw the circuit shorter after the last gate. ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Error when trying to read the `conanfile.txt` In our Jenkins-system, jenkins created a projectdirectory, that contains an "@". After we generated the conanfile.txt, we cannot run conan, cause it doesn't find the "@ folder=True" at the end of the line. The conanfile.txt parser, splits at the first "@" and when we habe an "@" in our directory name, the parsing fails. Example: /home/jenkins/workspace/conan_test@2/conanfile.txt ``` [generators] cmake [requires] OpenSSL/1.1.1@conan/stable [options] OpenSSL:shared=True OpenSSL:no_zlib=True [imports] "., LICENSE -> /home/jenkins/workspace/conan_test@2/install/licenses @ folder=True" lib, * -> /home/jenkins/workspace/conan_test@2/g/install/lib bin, * -> /home/jenkins/workspace/conan_test@2/install/bin include, * -> /home/jenkins/workspace/conan_test@2/install/include ``` Run conan install: `conan install . -g cmake -s build_type=Debug -s os=Linux -s arch=x86_64 -s compiler=gcc -s compiler.version=7 -s compiler.libcxx=libstdc++11 --build=missing` Error: ERROR: Invalid imports line: "., LICENSE -> /home/jenkins/workspace/conan_test@2/install/licenses @ folder=True" EX: OpenCV/lib, * -> ./lib Invalid imports. Unknown argument 2install/licenses @ folder Code with error: /conans/client/loader_txt.py: https://github.com/conan-io/conan/blob/ab15630bf0675eb2b787b4aaad8f79a53b3580f6/conans/client/loader_txt.py#L75 Possible Solution: Split it at the last "@" if possible or ignore things, that are inside `"` or `'`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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] `check_min_cppstd` should specifically report on an unknown compiler The `check_min_cppstd` works, or is intended to work, with default compilers. But it should handle unknown compilers that could be added by users. Right now it doesn't handle the `None` value returned by the `deduced_cppstd` and proceeds to compare it. Should probably throw a specialized error? https://github.com/conan-io/conan/blob/develop/conans/client/tools/settings.py#L51 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Win 10: Update to conda 4.4.4 breaks python path I updated to conda 4.4.4 recently, and now when I open a new "Anaconda Prompt" the first thing that is displayed is: `'python' is not recognized as an internal or external command, operable program or batch file.` At this point, I can start Python just fine. However, if I activate and then deactivate another environment, I can't use Python from the command prompt anymore. I get the same error message as above. I've tried rolling back the conda update with revisions, but that broke my installation. (The package pycosat does not get uninstalled properly, which seemed to break my conda install.) Not sure if this matters, but the text in parentheses before the path has changed. Before the update, It would read as the path to my Anaconda installation. In conda 4.4.4, it reads as `(base)`. This may be intended for this update, but I just thought I would share. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `Register.name_format` inaccessible as class property during deprecation ### Environment - **Qiskit Terra version**: 0.23.0 - **Python version**: 3.10 - **Operating system**: macOS ### What is happening? There used to be some class data `Register.name_format`, which is a regex for testing for valid OQ2 identifiers (ignoring keywords). It's now deprecated as the naming restrictions on registers were relaxed in #9100, but the deprecation is done wrong - it's no longer usable as a class attribute, only an instance one. ### How can we reproduce the issue? ```python from qiskit import ClassicalRegister ClassicalRegister.name_format.match("valid_name") ``` gives ``` --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-5-8200813a2299> in <module> 1 from qiskit import ClassicalRegister 2 ----> 3 ClassicalRegister.name_format.match("valid_name") AttributeError: 'property' object has no attribute 'match' ``` ### What should happen? In older Terras, `Register.name_format` was a `re.Pattern` accessible from the class. It's not much use to need an _instance_ of `Register` to get the valid name formats to pass to its constructor. ### 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: Core: rename x-goog-header-params -> x-goog-request-params Typo causing problems with Tasks API. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Load more history into readline buffer at startup I'm curious why, at startup in core/interactiveshell.py, the readline history is populated with a hard coded value of only 1000 (instead of, say, the configuration parameter history_length) history entries. I've personally wished I had more history. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: DeviceTuple constant handler doesn't work (and is untested) From @fehiepsi in [this comment](https://github.com/google/jax/issues/804#issuecomment-500169961). ```python def f(x): return jit(lax.fori_loop, static_argnums=(2,))(0, 10, lambda *args: args[1], x) jit(f)(1.) ``` ``` TypeError: No constant handler for type: <class 'jaxlib.xla_extension.XlaOp'> ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Bump Click to <9.0 ## Use Case Currently, Dagster depends on Click <8.0 as a result of https://github.com/dagster-io/dagster/commit/dadf6d5c8d16f679e1b0ad720f93a1686bdcffeb. Would it be possible to bump the maximum supported Click version? The rest of my monorepo depends on `click==8.0.1`, so I currently cannot integrate Dagster into it. ## Ideas of Implementation Bump the maximum supported version. --- #### Message from the maintainers: Excited about this feature? Give it a :thumbsup:. We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Support fig.yml and show a deprecation warning Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Argument <InternalDependency null: True> of type InternalDependency is not held by an ObjectHolder. **Describe the bug** meson ( as of commit 84b371c6451344f032d2c6f550c2711ec0776ca8 ) applied to the efl lib ( https://git.enlightenment.org/core/efl.git , commit ID 4ab074c4685e842dae4404fdbdb4fabef4e4b758 ), results in the mentioned error Argument <InternalDependency null: True> of type InternalDependency is not held by an ObjectHolder. The build is performed in the Linux environment of ChromeOS. The bug is NOT present in Meson 0.58.1. **To Reproduce** See above. **Expected behavior** No internal error happens. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? no * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.) Linux, ChromeOS, derived from Debian 10.10 * what Python version are you using e.g. 3.8.0: python is present in several versions, it is unclear, which one meson will use. python points to version 2.7.16, python3 points to version 3.7.3 * what `meson --version` : what: command not found * meson --version : 0.58.999 * what `ninja --version` if it's a Ninja build: what: command not found * ninja --version : 1.10.2.git Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: want install_data() variant that allows installing file under a different name Sometimes one needs to install a file (data), but under a different name than it exists in the source tree, e.g. install `foo.bar.win32` as `foo.bar`. We can currently hack around that with `configure_file()` and an empty configuration, but would be nice if there was an official way too. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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] Add bindirs to pkgconfig generator ### What is your suggestion? pkg-config generator is useful to use conan dependencies in meson build system, especially on Windows. However, meson has no way of knowing where the DLL files are located, since the linkage is done on the import libraries. Providing a `bindir` variable to the generated .pc file would allow meson (an possibly other systems) to query pkg-config for the location of the shared library binaries. ### Have you read the CONTRIBUTING guide? - [X] I've read the CONTRIBUTING guide Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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] Improve output messages for parallel uploads Now that the [parallel uploads feature](https://github.com/conan-io/conan/pull/5856) is going to be merged we could improve the output information little bit: - The text of the uploaded files should contain to which packages they belong. - For uploads using cmake.conan or CI the output is a few lines of blank text, which reads weird. We could improve those messages. - [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 ipython/ipython codebase. Here's the problem: Deprecate and cleaned publish_display_data's and DisplayPublisher/publish "source" parameter It's been unused and deprecated for years. 1) It should emit a warning when parameter is passed in. 2) the deprecation should say since when it's deprecated. Once this is done, we can think of removing it in a couple of years. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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] Forward the OS X version to CMake helper Following PR #3091 , there is now an optional `os.version` setting for OS X. Following [this comment](https://github.com/conan-io/conan/issues/2534#issuecomment-399117915) from @lasote, we plan to use it as the minimum osx version (the `-mmacosx-version-min` compiler flag). CMake makes a provision for that thanks to the [`CMAKE_OSX_DEPLOYMENT_TARGET`](https://cmake.org/cmake/help/latest/variable/CMAKE_OSX_DEPLOYMENT_TARGET.html). Should `os.version` be automatically used by the CMake helper, like many other settings are implicitly used to define some CMake variables? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Define policy for conan vs user ConanFile attributes and methods To reduce possible future collisions when things are added to conan. E.g.: - Use "_myattribute" for user defined attributes. Conan reserves all public members - Use "__myattribute" for user defined atributes. (What happens for inheritance via python_requires?) - Etc. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: please bring back app example It was removed in #2795... and I think it worked in the commit that Steve pointed to in a comment on that PR, but it does not work with the last published version of the packages on npm. I know there are server-side settings which weren't working with this example, but all of those should be optional. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Chaining ACL grants on Storage does not work. So from what I can tell [this](https://github.com/GoogleCloudPlatform/google-cloud-python/blob/ce6756fbe3633c74fd742567654565147628f4ba/storage/google/cloud/storage/acl.py#L56) doesn't work. Example: ```python acl.all().grant_read().revoke_write() ``` None of the grant methods return an object to chain to. See: https://github.com/GoogleCloudPlatform/google-cloud-python/blob/486163e5378897961bc3cf367062c8b10cf7ce3e/storage/google/cloud/storage/acl.py#L148-L170 Should I just take this out of the 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: make user config should create default User configurability may be unclear to the user, so I think `prefect make-user-config` should give the user more guidance about their options than an empty file I propose that it should copy the defaults to the user config location However, I could just as easily see doing both of the following, instead of this PR-- 1) adding a note to the `prefect make-user-config` part of the docs (docs/guide/core_concepts) about where to find the default file 2) adding "the default configuration is located at src/prefect/config.toml" to the auto-generated settings file Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Use jinja2 templates for editable layouts Syntax in editable layouts are currently using placeholders like ``{settings.build_type}`` to make some conditional logic regarding folder paths. We knew it has some limitations specially with placeholder like ``{options.shared}``, that will replace the value with a ``True``/``False`` instead of a useful value. We evaluated the following: - Inline evaluation of python code - Evaluation of field headers like ``[includedirs#settings.build_type==True]`` - Python syntax in *layout.py* implementing a ``package_info()`` - Jinja2 templating And decided that jinja2 is a fairly common orthogonal language used in a lot of tools, syntax is well documented and contemplates many conditional scenarios. Also this should be quite easy to implement. The information available in this jinja2 templates should be ``options`` and ``settings``. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: difference in source highlighting between 5.3 and 6.0rc1 using %colors Linux The following screenshot shows the difference in source highlighting between the two versions of IPython (note the difference in version between left and right): ![screenshot_20170419_152049](https://cloud.githubusercontent.com/assets/1322974/25204791/086a794c-2514-11e7-9e8f-8bb94a6bad86.png) The "null" profile is just an empty, freshly created profile. Arch Linux, pip-installed ipython. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Report warnings for conflicting versions of build_requires and regular requires It is possible that: - A -> (build_requires) -> B -> C1.0 - A -> (requires) -> C2.0 A ``deps_cpp_info`` will be collecting information from two different versions of C, C2.0 and C1.0 that are conflicting, one might overwrite the other in ``deps_cpp_info``. The build_requires one (in this case, the C1.0 one) is the one that is getting selected (applied latest). At least, it should output a warning of this conflict. cc/ @dodoent Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: validate field paths passed to 'Query.{select,where,order_by}` The following conformance tests assert that passing field paths with invalid path elements to `Query.select` / `Query.where` / `Query.order_by` should raise an exception: - `query-invalid-path-select.textproto` - `query-invalid-path-where.textproto` - `query-invalid-path-order.textproto` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Bug in scheduler if circuit is empty <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? A bug was found in the scheduler if the circuit is empty. The fix is here in my pulse builder PR. This should be fixed, and tests in master and a backport made. https://github.com/Qiskit/qiskit-terra/blob/40fe25df33f89432e2829a8fdb37f968c602106f/qiskit/scheduler/methods/basic.py#L121 ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Add sysctl option support when creating service Closes #3765 Signed-off-by: Jari Takkala jtakkala@gmail.com Add 'sysctl' option support PR https://github.com/docker/docker/pull/19265 merged 'sysctl' support into docker, but there seems to be no way to use this feature with docker-compose. Has anyone started work on such a feature? If not, I will attempt to patch docker-compose and create a PR. Are there any suggestions on how to implement it? I was thinking of starting with something similar to how the environment or cap_add options work. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: better message for unsupported nbformat Currently, when opening a notebook that is newer than the current format (just change the nbformat to 4 in an existing notebook to test), the user gets the following message in the notebook UI: > An error occurred while loading this notebook. Most likely this notebook is in a newer format than is supported by this version of IPython. This version can load notebook formats v3 or earlier. And this message is logged in the nbserver: > WARNING:root:500 GET /notebooks/8291848e-ba50-407d-88a3-5480e60d700e?_=1334382692585 (127.0.0.1): Unreadable JSON notebook. The message for an unsupported nb version should be clear and concise, and distinguishable from any _other_ arbitrary failure to load, e.g. from corrupted JSON. In particular, it should report the actual nbformat version of the notebook that is failing to open, so users can more easily find what version of IPython they need. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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] 1.8.0 introduces a misleading warning in tools.collect_libs() After updating to 1.8.0 today (thank you for such frequent releases 👍 ), I noticed several warnings when `conan install`ing recipes that depends on our custom boost recipe. ``` boost/1.67@com/stable: WARN: Library 'boost_atomic' already found in a previous 'conanfile.cpp_info.libdirs' folder boost/1.67@com/stable: WARN: Library 'boost_chrono' already found in a previous 'conanfile.cpp_info.libdirs' folder ... ``` Which corresponds to the following addition to the source: https://github.com/conan-io/conan/blob/a20c0f5ca432192596af6b34eccf56c1f5e20904/conans/client/tools/files.py#L308-L310 We see the intention here, but in our situation this message is misleading: it would imply there are several `conanfile.cpp_info.libdirs`, although there is actually only one element in this collection. The message is in fact triggered because in this single `conanfile.cpp_info.libdirs` directory, each library is present with two different extensions (static and dynamic libraries). Can you help me debug this systematically and explain your reasoning?


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

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


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: What should be done about non-atomicity of Table.counter_set() See #1541 for discussion. There is a [note](https://github.com/wbolster/happybase/blob/9cbd718c10a3089f234f1eac1236b631e1f8e7cd/happybase/table.py#L531-L534) from the HappyBase source code > Note that application code should _never_ store a incremented or decremented counter value directly; use the atomic `Table.counter_inc` and `Table.counter_dec` methods for that. and we just went one step further and just made `Table.counter_set()` a not implemented method (it raises `NotImplementedError` when called). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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.around uses an inexact algorithm, not mentioned in docstring I came across this from [this discussion](https://news.ycombinator.com/item?id=20818662) of how CPython rounds floating point values to decimal places in `round()`. The two examples below show what CPython does (correct), and the last two what numpy does with a fast but inexact strategy: ```python >>> round(56294995342131.5, 2) 56294995342131.5 >>> round(56294995342131.5, 3) 56294995342131.5 >>> np.round(56294995342131.5, 2) 56294995342131.5 >>> np.round(56294995342131.5, 3) 56294995342131.51 ``` I don't see any past issue for this, and the `around` code and docstring seems to have been last touched over 11 years ago, since the last commit is the copy-n-paste from numeric. The `np.around` docstring does contain the cryptic remark that "Results may also be surprising due to the inexact representation of decimal fractions in the IEEE floating point standard [1]_ and errors introduced when scaling by powers of ten." If it is indeed the case that there is no "fast" algorithm for decimal rounding, I think the docstring should at least be elaborated to make clear what approximation is being made. Eg, that we compute `np.true_divide(x*10**d, 10**d)`, which has floating point error, instead of a more accurate BigInt computation. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Expose config-hash checking I'm writing a tool that uses docker-compose and it needs to tell the user whether they need to 'up' a service. To do this, I have reproduced the config-hash so I can check if the config has been changed, but the method of doing this changes between docker-compose versions, so it would be handy to be able to ask docker-compose whether it thinks the config has changed directly, without performing any other actions. Can you help me debug this systematically and explain your reasoning?