[System] You are an expert software 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: storemagic needs to use self.shell As reported [on the mailing list](http://mail.scipy.org/pipermail/ipython-user/2012-July/010551.html) ``` AttributeError Traceback (most recent call last) <ipython-input-3-6795157a19c8> in <module>() ----> 1 get_ipython().magic(u'store') C:\Python26\ArcGIS10.0\lib\site-packages\IPython\core\interactiveshell.pyc in magic(self, arg_s) 2159 magic_name, _, magic_arg_s = arg_s.partition(' ') 2160 magic_name = magic_name.lstrip(prefilter.ESC_MAGIC) -> 2161 return self.run_line_magic(magic_name, magic_arg_s) 2162 2163 #------------------------------------------------------------------------- C:\Python26\ArcGIS10.0\lib\site-packages\IPython\core\interactiveshell.pyc in run_line_magic(self, magic_name, line) 2085 args.append(sys._getframe(stack_depth).f_locals) 2086 with self.builtin_trap: -> 2087 result = fn(*args) 2088 return result 2089 C:\Python26\ArcGIS10.0\lib\site-packages\IPython\extensions\storemagic.pyc in store(self, parameter_s) C:\Python26\ArcGIS10.0\lib\site-packages\IPython\core\magic.pyc in <lambda>(f, *a, **k) 189 # but it's overkill for just that one bit of state. 190 def magic_deco(arg): --> 191 call = lambda f, *a, **k: f(*a, **k) 192 193 if callable(arg): C:\Python26\ArcGIS10.0\lib\site-packages\IPython\extensions\storemagic.pyc in store(self, parameter_s) 141 # run without arguments -> list variables & values 142 elif not args: --> 143 vars = self.db.keys('autorestore/*') 144 vars.sort( 145 if vars: AttributeError: 'StoreMagics' object has no attribute 'db' ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the celery/celery codebase. Here's the problem: Use callable in utils.functional.head_from_fun After the discussion in #3952, we should investigate whether an improvement can be applied using the builtin `callable` instead of `hasattr(fun, '__call__')`. https://docs.python.org/2/library/functions.html#callable Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Use better naming conventions for deployed tasks/jobs ## Current behavior e.g. the Fargate agent creates tasks called `prefect-task` and the FargateTaskEnvironment created tasks called `prefect-task`. These should be better named ## Proposed behavior Come up with better names for the intermediate tasks/jobs and those which actually run the flow ## Example 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 conan-io/conan codebase. Here's the problem: Search query `compiler.libcxx` seems broken When adding `compiler.libcxx=libstdc++` to my search query it never matches any packages: ``` tru@xps ~/Code/Plex/plex-conan$ conan search -r plex zlib/1.2.8@plex/stable -q "os=Linux" Existing packages for recipe zlib/1.2.8@plex/stable: Package_ID: 2f48fd86f2c789d46ce8ba025775628e47b36354 [options] shared: False [settings] arch: x86_64 build_type: Release compiler: gcc compiler.libcxx: libstdc++11 compiler.version: 6.2 os: Linux [requires] plexconantool/1.0@plex/stable:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 outdated from recipe: False Package_ID: 60c8d7f7b9f3a84a70cc433b2769f5324f190d5f [options] shared: False [settings] arch: x86_64 build_type: Release compiler: gcc compiler.libcxx: libstdc++ compiler.version: 6.2 os: Linux [requires] plexconantool/1.0@plex/stable:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 outdated from recipe: False Package_ID: 74110c4f5bcaa8e2e9536ddbb6057226e2c675af [options] shared: False [settings] arch: x86_64 build_type: Release compiler: gcc compiler.libcxx: libstdc++ compiler.version: 5.4 os: Linux [requires] plexconantool/1.0@plex/stable:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 outdated from recipe: False ``` ``` tru@xps ~/Code/Plex/plex-conan$ conan search -r plex zlib/1.2.8@plex/stable -q "compiler.libcxx=libstdc++11" There are no packages for reference 'zlib/1.2.8@plex/stable' matching the query 'compiler.libcxx=libstdc++11' ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Unable to fig build a github repo / works with docker build Using `docker build` I can pull and build an image directly from Github, for example: `docker build -t java https://github.com/StrictlyBusiness/docker-java8.git` When I try to do the same using `fig build` and the following `fig.yml`: ``` webapp: build: https://github.com/StrictlyBusiness/docker-java8.git ``` it shows `Building webapp...` then after ~40 seconds, it shows just a single closing bracket `)`. For example: ``` $ fig build Building webapp... ) ``` I haven't found a way to get any more details on what's happening behind the scenes in fig to know why it's failing. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: qiskit.pulse module and underlying functionality needs documentation. <!-- ⚠ 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? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Implement `np.select` It appears that JAX has not implemented `np.select`. One can work around this by using `lax.select`, but it doesn't implement numpy's broadcasting semantics, so it's not quite as nice. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Dead link to optuna.create_study under hyperparamter_search in Trainer I noticed the hyperlink to the documentation of optuna's create_study under ```kwargs``` in the ```hyperparameter_search``` method of Trainer is outdated. https://huggingface.co/transformers/main_classes/trainer.html ### Who can help Documentation: @sgugger New URL (I'm guessing): https://optuna.readthedocs.io/en/stable/reference/generated/optuna.study.create_study.html Old (currently used): https://optuna.readthedocs.io/en/stable/reference/alias_generated/optuna.create_study.html#optuna.create_study Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: default network I'm not sure I'm reading correctly, but it seems like compose is choosing `bridge` by default as default network driver : https://github.com/docker/compose/blob/master/compose/project.py#L86 We should let the daemon decide instead, same as this PR https://github.com/docker/docker/pull/17504 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Left over U1 gates at optimization level 2 <!-- ⚠ 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? ```python import numpy as np from qiskit import * qc = QuantumCircuit(3) qc.h(0) qc.h(1) qc.cp(np.pi/8,0,1) qc.cp(np.pi/4,0,2) trans_qc = transpile(qc, basis_gates=['id', 'rz', 'sx', 'x', 'cx'], optimization_level=2) trans_qc.draw() ``` gives ``` global phase: -26.4090132442392 ┌─────────┐┌────┐┌────────────┐ » q_0: ┤ RZ(π/2) ├┤ √X ├┤ U1(11π/16) ├──■──────────────────■────────────────■──» ├─────────┤├────┤└┬─────────┬─┘┌─┴─┐┌────────────┐┌─┴─┐┌──────────┐ │ » q_1: ┤ RZ(π/2) ├┤ √X ├─┤ RZ(π/2) ├──┤ X ├┤ RZ(6.0868) ├┤ X ├┤ RZ(π/16) ├──┼──» └─────────┘└────┘ └─────────┘ └───┘└────────────┘└───┘└──────────┘┌─┴─┐» q_2: ───────────────────────────────────────────────────────────────────┤ X ├» └───┘» « «q_0: ───────────────■───────────── « │ «q_1: ───────────────┼───────────── « ┌───────────┐┌─┴─┐┌─────────┐ «q_2: ┤ RZ(15π/8) ├┤ X ├┤ RZ(π/8) ├ « └───────────┘└───┘└─────────┘ ``` ### 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 numpy/numpy codebase. Here's the problem: f2py fails to generate Fortran modules on Numpy 1.16.0 <!-- Please describe the issue in detail here, and fill in the fields below --> On Numpy 1.16.0, `f2py` fails to generate Fortran modules: ``` error: f2py target file '/tmp/tmpnke02j8i/src.linux-x86_64-3.6/test_f2py.c' not generated ``` Tested on Ubuntu 1.16 and macOS 1.14.2 both with Python 3.6. This appears to be a new bug as there are no issue with Numpy 1.15.4 or lower. ### Reproducing code example: Create `test_f2py.f90` and `test_f2py.py` and add the following lines: - `test_f2py.f90` ``` program test_f2py end program test_f2py ``` - `test_f2py.py` ``` import numpy.f2py as f2py with open('test_f2py.f90', 'rb') as fid: source = fid.read() f2py.compile(source , modulename='test_f2py', extension='.f90') ``` Run `test_f2py.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 Qiskit/qiskit codebase. Here's the problem: apply_operation_back API in dag should change to be consistent with add_qreg and add_creg Recently, the API for `DAGCircuit.add_qreg` and `DAGCircuit.add_creg` changed to be called with an object instead of a tuple (see #1189). `apply_operation_back` should also change in the same direction to be consistent. DAG apply_operation_front has bugs <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? Applying gates to the front of the dag is done with `dag.apply_operation_dag()`. However it currently does not produce the expected result. This function is not used anywhere now, only `apply_operation_back()` is used, which works fine. But this function should be fixed nonetheless. ### Steps to reproduce the problem If I create this dag: ![image](https://user-images.githubusercontent.com/8622381/48149411-fdb9a880-e289-11e8-8448-d658abc2a6cd.png) Then do this: ``` dag.apply_operation_front(Reset(qubit0)) dag.apply_operation_front(Reset(qubit1)) ``` I get this: ![image](https://user-images.githubusercontent.com/8622381/48149466-204bc180-e28a-11e8-9a0d-c797fcbbfe7f.png) ### What is the expected behavior? The "op" nodes (blue) should occur between the "in" nodes (green) and the "out" nodes (red) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Add AIX to default_settings_yml Add AIX to os in default settings.yml. Add AIX to default_settings_yml Add AIX to os in default settings.yml. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: DOC The docstring of numpy.equal is misleading The [docstring of numpy.equal](https://www.numpy.org/devdocs/reference/generated/numpy.equal.html#numpy-equal) says that the input arrays should be of the same shape. I think this is wrong as broadcasting will be used and no error is returned if you use two input arrays with different shapes. Besides the second example does not compare two arrays. ```python >>> np.equal(1, np.ones(1)) array([ True]) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: HfArgumentParser support yaml parser ### Feature request HfArgumentParser now supports for parsing dict and json files, will it be possible to support for parsing the widely used yaml files? ### Motivation I think using yaml is a good way to record arguments. ### Your contribution Not yet. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Modify param printing to show top level modules only Add a model summary option that just shows the number of parameters for the top level modules. - Set pd.options.display.float_format = ’{:,}’.for- mat so it uses comma separators. - Also summarize the number of parameters like 1,000,234 to 1M. - use 1k, 1M, 1B, 1T, etc... Suggested by @adefazio Specifically, change: ```python Trainer(print_weights_summary=True) ``` To: ```python # default Trainer(weights_summary='full') # second option Trainer(weights_summary='top') ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Trace: docs have bad url for "Library Documentation" https://googlecloudplatform.github.io/google-cloud-python/latest/trace/starting.html is linked to from the root of the latest trace docs. This page doesn't seem to exist. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Build errors are scary ![screenshot 2014-03-21 10 38 43](https://f.cloud.github.com/assets/40906/2482049/19be3c48-b0e5-11e3-85f9-17a3cae281ad.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 PrefectHQ/prefect codebase. Here's the problem: Make docker server fungible ## Use Case I'd like to be able to keep data saved in the docker postgres database across docker restarts. At the moment, a persistent docker volume is not created on the host and any data like ETL registrations and previous runs is lost when docker restarts. ## Solution Either always create a docker volume in the docker-compose.yml, or add an option in the cli to create a docker volume. ## Alternatives I've considered maybe a snapshot mechanism from within the prefect service but adding the docker volume seems like the easiest approach. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [ux] [bug] Improve error raised when 'settings.yml' cannot be parsed If the file `settings.yml` is invalid, Conan raises an ugly error with all the traceback. --- How to reproduce: * Edit `settings.yml` and make it an invalid YAML * Run something like `conan create ....`: ``` ⇒ conan create dep1 Traceback (most recent call last): File "/Users/jgsogo/dev/conan/conan/conans/client/command.py", line 1911, in run method(args[0][1:]) File "/Users/jgsogo/dev/conan/conan/conans/client/command.py", line 355, in create lockfile=args.lockfile) .... lots of traceback ... yaml.scanner.ScannerError: while scanning a simple key in "<unicode string>", line 14, column 1: os dasf:ffs ^ could not find expected ':' in "<unicode string>", line 15, column 12: Windows: ^ ERROR: while scanning a simple key in "<unicode string>", line 14, column 1: os dasf:ffs ^ could not find expected ':' in "<unicode string>", line 15, column 12: Windows: ^ ``` --- I would expect something easier like: `File 'settings.yml' has invalid YAML format/ cannot be parsed / error reading....` and, if possible, add the information with the line and column. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: script magic error message loop this script magic worked in 0.13.2: ``` %%script python /tmp/test.py ``` now it gives this error: ``` %%script (with double %) expects code beneath it. Did you mean %script ``` if I use that I get: ``` Line magic function %script not found, ... did you mean %%script? ``` what I'm doing is probably wrong (I guess I should use !python file.py) but %%script should not recommend %script if that does not exist. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Issue with pl.Trainer.from_argparse_args(...) <!-- ### Common bugs: 1. Tensorboard not showing in Jupyter-notebook see [issue 79](https://github.com/PyTorchLightning/pytorch-lightning/issues/79). 2. PyTorch 1.1.0 vs 1.2.0 support [see FAQ](https://github.com/PyTorchLightning/pytorch-lightning#faq) --> ## 🐛 Bug <!-- A clear and concise description of what the bug is. --> ### To Reproduce Steps to reproduce the behavior: 1. Use `parser = pl.Trainer.add_argparse_args(parser)` 2. Run `python main.py --overfit_batches 1` 3. The training runs over the whole dataset instead of running on a single batch <!-- If you have a code sample, error messages, stack traces, please provide it here as well --> ![Screenshot from 2020-08-13 13-45-55](https://user-images.githubusercontent.com/8587189/90109358-6ab97680-dd6b-11ea-92d9-f1d47aea8435.png) #### Code sample <!-- Ideally attach a minimal code sample to reproduce the decried issue. Minimal means having the shortest code but still preserving the bug. --> ### Expected behavior Only one batch should have run. <!-- A clear and concise description of what you expected to happen. --> ### Environment * CUDA: - GPU: - Tesla P100-PCIE-16GB - available: True - version: 10.1 * Packages: - numpy: 1.18.5 - pyTorch_debug: False - pyTorch_version: 1.6.0+cu101 - pytorch-lightning: 0.8.5 - tensorboard: 2.3.0 - tqdm: 4.41.1 * System: - OS: Linux - architecture: - 64bit - - processor: x86_64 - python: 3.6.9 - version: #1 SMP Thu Jul 23 08:00:38 PDT 2020 ### Additional context <!-- Add any other context about the problem 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 docker/compose codebase. Here's the problem: Inconsistency in how compose handles empty environment variables If you want to use the value of an environment variable that is available in the host you can: ``` bash $ HOST_ENV=value docker run -e HOST_ENV ubuntu:14.04 env PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin HOSTNAME=acb280b6edd9 HOST_ENV=value HOME=/root ``` But, if the variable is not defined in the host, then it also doesn't get created in the container: ``` bash $ docker run -e HOST_ENV ubuntu:14.04 env PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin HOSTNAME=29a464f43ecb HOME=/root ``` But, given the following `docker-compose.yml`: ``` yaml banana: image: ubuntu:14.04 command: env environment: HOST_ENV: ``` We get an empty variable: ``` bash $ docker-compose run banana PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin HOSTNAME=9841adaf229b TERM=xterm HOST_ENV= HOME=/root ``` Should this be considered a bug? I would expect the same behavior from both tools. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Specify that exit code -9 is due to RAM Related to https://github.com/apache/airflow/issues/9655 It would be nice to add a message when you get this error with some info, like 'This probably is because a lack of RAM' or something like that. I have found the code where the -9 is assigned but have no idea how to add a logging message. self.process = None if self._rc is None: # Something else reaped it before we had a chance, so let's just "guess" at an error code. self._rc = -9 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: tools.environment_append raises if tries to unset variable which was never set after #4224, I may use the following code, for instance, to ensure variable is not set: ``` with environment_append({'CONAN_BASH_PATH': None}): pass ``` however, it raises if `CONAN_BASH_PATH` is not set (prior to the environment_append invocation): ``` Traceback (most recent call last): File "C:\bincrafters\conan\conans\test\unittests\client\tools\os_info\osinfo_test.py", line 39, in test_windows with environment_append(new_env): File "c:\users\sse4\appdata\local\programs\python\python36\lib\contextlib.py", line 81, in __enter__ return next(self.gen) File "C:\bincrafters\conan\conans\client\tools\env.py", line 57, in environment_append os.environ.pop(var) File "c:\users\sse4\appdata\local\programs\python\python36\lib\_collections_abc.py", line 795, in pop value = self[key] File "c:\users\sse4\appdata\local\programs\python\python36\lib\os.py", line 669, in __getitem__ raise KeyError(key) from None KeyError: 'CONAN_BASH_PATH' ``` I would expect `tools.environment_append` to be no op in such case, otherwise, it requires additional logic to workaround this behavior. To help us debug your issue please explain: - [ ] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [ ] I've specified the Conan version, operating system version and any tool that can be relevant. - [ ] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Conan prioritizes indirect dependency over direct dependency I'm having the following component tree: * LibConsumer uses LibCore/1.0.0+abc@user/channel * MyComp uses LibConsumer and LibCore/1.0.0+xyz@user/channel conanfile.py in MyComp: ``` ... def requirements(self): self.requires( "LibConsumer/1.0.0@user/channel") #indirectly uses LibCore/1.0.0+abc@user/channel self.requires( "LibCore/1.0.0+xyz@user/channel") ... ``` When running a `conan install` on MyComp Conan resolves LibCore to `LibCore/1.0.0+abc@user/channel`. This is probably due to LibConsumer being first in the list of requires and the SemVer of both LibCore packages not being different. When I swap the requires-statement to the following Conan resolves LibCore to `LibCore/1.0.0+xyz@user/channel`: ``` ... def requirements(self): self.requires( "LibCore/1.0.0+xyz@user/channel") self.requires( "LibConsumer/1.0.0@user/channel") ... ``` I would have expected Conan to always prefer the direct dependencies over the indirect dependencies, thus always resolving to `LibCore/1.0.0+xyz@user/channel` because it has explicitly been named. I know that there isn't a difference between from a SemVer viewpoint, but there could be reasons why someone put the one over the other into the conanfile. Is there a way to enforce using the direct deps over the indirect ones? Should this be changed by default? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: DAGCircuit Documentation types outdated <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information The documentation of DAGCircuit still references tuples instead of the QuantumRegisters as input type for wires and qargs. This does not work any more. - **Qiskit Terra version**: 0.8.2 - **Python version**: 3.7.4 - **Operating system**: macOS 10.14 ### What is the current behavior? An excerpt from the current documentation: ``` def apply_operation_back(self, op, qargs=None, cargs=None, condition=None): """Apply an operation to the output of the circuit. Args: op (Instruction): the operation associated with the DAG node qargs (list[tuple]): qubits that op will be applied to cargs (list[tuple]): cbits that op will be applied to condition (tuple or None): optional condition (ClassicalRegister, int) Returns: DAGNode: the current max node Raises: DAGCircuitError: if a leaf node is connected to multiple outputs """ ``` which lists tuples as expected type. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: what are the restrictions for initial_layout? Getting deeper in https://github.com/Qiskit/qiskit-terra/issues/4757 a conversation about "valid" `initial_layout`s popped up. There is a need to answer two questions: - What are the restrictions to set `initial_layout`? - Which component should validate `initial_layout`? The example can be is the following, where `initial_layout` is *bigger* than the circuit: ```python from qiskit import QuantumCircuit, transpile from qiskit.test.mock import FakeTenerife circuit = QuantumCircuit(3) circuit.h(1) transpiled = transpile(circuit, backend=FakeTenerife(), initial_layout=list(range(5))) ``` Should this be accepted? If yes, why does layout (wrongly) [validate the size of the layout](https://github.com/Qiskit/qiskit-terra/blob/10ac1ecd2aa9b7a25e9735ff30339650d0e9b040/qiskit/transpiler/layout.py#L291) in the `from_intlist` static method? If no, why does [`Layout` accept physical qubits pointing to `None` ](https://github.com/Qiskit/qiskit-terra/blob/10ac1ecd2aa9b7a25e9735ff30339650d0e9b040/test/python/transpiler/test_layout.py#L341)? The intermediate solution is allow any `Layout` and `transpile` should do the check before creating the layout. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Add Video Vision Transformer # 🌟 New model addition ## Model description The ViViT is a transformer based model similar to Vision Transformer but operating on videos. In their paper, the authors present 4 types of possible architecture, and 2 are considered successful (unfactorised and factorised encoder models). Paper available at https://arxiv.org/abs/2103.15691. The original research uses flax, and mentions usage of weights from large pretrained image models (ViT). I currently have an implementation of model 1, analogous to existing ViTModel. I have also written a flax-to-pytorch weights conversion (to use weights from the original repo) and I have written the adaptation of ViT-based weights to ViViT weights (based on the methodology in the paper). ## Open source status * [ ] the model implementation is available: Original implementation in Scenic (flax) https://github.com/google-research/scenic/tree/main/scenic/projects/vivit * [ ] the model weights are available: Flax checkpoints and TF SavedModel present here https://github.com/google-research/scenic/blob/main/scenic/projects/vivit/README.md * [ ] who are the authors: Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lučić, Cordelia Schmid @MostafaDehghani @anuragarnab Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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.utils.columnize sometime wrong... ``` python In [1]: import IPython.utils.text as ut ...: len(ut.columnize(['x'*40,'x'*40],displaywidth=80).split('\n')[0]) Out[1]: 82 # should be < 80 ``` two 40 letters words separated by 2 char could not enter on a 80 char line. should be 2 times 40(+separator size maybe) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Pipeline image-to-text task and Bitsandbytes error ### System Info Python 3.10.6 Transformers 4.30.0 Bitsandbytes 0.39.1 Windows / Linux ### Who can help? @nar ### Information - [X] The official example scripts - [X] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [X] My own task or dataset (give details below) ### Reproduction Using an 4 or 8bit quantised model such as: https://huggingface.co/Mediocreatmybest/blip2-opt-2.7b_8bit ### Expected behavior The Pipeline image processor to detect the model is running with a 4 or 8bit model with bitsandbytes. I apologise if this should be a feature request or if it’s a bug, I couldn’t find any examples of what I was trying to do. When running through the pipeline examples from the hugging face website, if I try using an 8bit model, the model seems to be detected correctly and casts it to 8bit, but the Processor doesn’t seem to follow suit and runs at its default, throwing an error that they both should be set at the same floating point. I’ve uploaded a few models set at 8bit to save on size and memory, as BLIP2 is pretty heavy, using it on consumer devices is oviously challenging. The models I’ve uploaded to HuggingFace are: Mediocreatmybest/blip2-opt-2.7b_8bit Mediocreatmybest/blip2-opt-6.7b_8bit Mediocreatmybest/blip2-flan-t5-xxl_8bit I can get them working with regular methods, but as I’m a beginner it’s obviously challenging. Thanks again for all the great 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 PrefectHQ/prefect codebase. Here's the problem: How should environments be loaded in Cloud? Currently, environments are loaded via marshmallow deserialization here: https://github.com/PrefectHQ/prefect/blob/master/src/prefect/cli/execute.py#L66-L67 This works great, except that it prevents users from implementing custom execution environments. Because this CLI typically runs inside a docker container containing the Flow bytecode, we could load that, etc. but then we're taking over the responsibilities of `environment.execute()`, which IMO means we have a leaky abstraction somewhere. Our ideal solution to this problem should support: - custom user environments - the (future) ability to specify environments on a per-flow-run basis - labels on custom environments should be readable on the Cloud-side through the marshmallow deserialization process Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add support for `Expr` to `DAGCircuit.substitute_node` Very similar to #10379, although there may be issues in cases where the `condition`/`target` wires aren't included in the `DAGOpNode`'s `cargs`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Control-flow builders fail to recognise registers in nested `switch` statements ### Environment - **Qiskit Terra version**: 0.24.1 - **Python version**: 3.10 - **Operating system**: macOS ### What is happening? The control-flow builder interfaces can fail to notice registers that appear only in a `SwitchCaseOp.target` nested in one of their scopes, and consequently don't build this register into the block. ### How can we reproduce the issue? ```python from qiskit.circuit import QuantumCircuit, QuantumRegister, ClassicalRegister qr = QuantumRegister(3) cr1 = ClassicalRegister(2, "c1") cr2 = ClassicalRegister(2, "c2") test = QuantumCircuit(qr, cr1, cr2) with test.switch(cr1) as case_outer, case_outer(0): with test.switch(cr2) as case_inner, case_inner(False): test.x(0) # Fails. assert cr2 in test.data[0].operation.blocks[0].cregs ``` ### What should happen? `cr2` should be present in the outer switch's case block, because it's used by the inner switch. ### Any suggestions? _No response_ Add support for using `Expr` values in the control-flow builder interface ### What should we add? While #10224 is satisfied by opening up the typing of the manual-construction forms of the relevant control-flow operations, this is not the preferred manner for users to construct these. The control-flow builder interface (`with qc.if_test(...)`, etc) should have support for the `condition` or `target` as appropriate being an `Expr` value. This involves modifying the internal trackers and classical-resource resolvers in `QuantumCircuit` and the builder blocks to understand how to visit `Expr` types to find all used resources within them. Depends on #10224. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: model.setup and model.on_fit_start not working self.model not yet set so `self.is_function_implemented('on_fit_start')` and `self.is_function_implemented('setup')` in `trainer.fit` will both always return false. Resolve by checking if model instead of self has the relevant function, e.g. `if callable(getattr(model, f_name, None)): model.f_name()` relevant lines: https://github.com/PyTorchLightning/pytorch-lightning/blob/f8c10fbff03240bf76896bc78def2118ad4fe141/pytorch_lightning/trainer/trainer.py#L851 https://github.com/PyTorchLightning/pytorch-lightning/blob/f8c10fbff03240bf76896bc78def2118ad4fe141/pytorch_lightning/trainer/trainer.py#L855 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: labextension install fails when read-only template yarn.lock is copied into staging directory ## Description `jupyter labextension install myextension --app-dir=./myapp` fails with ``` error An unexpected error occurred: "EACCES: permission denied, open '/nix/store/lg2kmn1i3wj0473q0i6vbjbqhvrg5yky-jupyterlab-extended/staging/yarn.lock'" ``` when the template `yarn.lock` file that is included in the base jupyterlab package is readonly. In this case, it seems to be copied over to `./myapp` when the staging directory is populated without setting the appropriate access rights: https://github.com/jupyterlab/jupyterlab/blob/172e664aa66d8c9be89960c575d24dc4051e7bb9/jupyterlab/commands.py#L1181 This naturally occurs when installing jupyterlab with Nix, where the base install has to be immutable to ensure reproducibility. A simple fix would be to set write access on the copied `yarn.lock` in the staging directory. ## Reproduce (I can only give approximate steps for a standard conda or pip install because I am using nix to install jupyterlab) 1. install jupyter lab and find the `staging` directory. 2. set `chmod -w yarn.lock` inside of the staging directory 3. go to a temporary directory somewhere else 4. run `jupyter labextension install <<anyextension>> --app-dir=. --debug` ## Expected behavior Jupyterlab with the extension is built successfully in `app-dir`. ## Context - Operating System and version: Ubuntu 16.04, Nix package manager - JupyterLab version: 1.2.2 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Store verify-ssl option in conan.conf after conan config install Only the custom user args are stored in conan.conf, and it would make sense to store the verify-ssl argument too, to make ``conan config install`` complete. cc/ @danimtb Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: jlap: add previous footer, checksum to logs to debug fetch hiccups ### Checklist - [X] I added a descriptive title - [X] I searched open requests and couldn't find a duplicate ### What is the idea? When using the `--experimental=jlap` feature, the debug logs show "Checksum OK" if the patch was able to be partially dowloaded, and "Checksum Not OK" if the running checksum plus the new lines don't match up with the trailing checksum. Then conda overwrites the `.state.json` required to reproduce the checksum mismatch. Instead, conda should log the old footer and running checksum or `iv` to be able to reproduce and debug the mismatch. Since we truncate the patch files after they get too large, it is normal to sometimes get a checksum mismatch. But it seems like these happen more often than that. Attaching this issue to a refactor that cleans up the new feature. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: Cannot take gradient of function using linspace I've found I will get an exception "Tracer can't be used with raw numpy function" when I use linspace where one of the arguments to linspace is a parameter which needs to be differentiated with respect to. Here is a MWE that shows the problem ``` import jax.numpy as jnp import jax def testlinspace(x, *args): #does not work out = jnp.linspace(x[0],x[1],50) #linspace depends on parameters out = x[2]*jnp.square(out) out = jnp.sum(out) return out def testlinspace2(x, *args): #works out = jnp.linspace(1.,50.,50) #linspace is just some array of numbers out = x[2]*jnp.square(out)+x[0]*x[1] out = jnp.sum(out) return out x = [2.,3.,1.5] testobj = testlinspace(x) testgrad = jax.grad(testlinspace) testobj2 = testlinspace2(x) testgrad2 = jax.grad(testlinspace2) print(testgrad(x)) #throws exception, note gradient using finite differences is DeviceArray([174.48979293, 200.51020897, 316.83673001]) print(testgrad2(x)) #works, gives DeviceArray([ 149.99968698, 99.99930626, 42924.99943404]) ``` So the problem is you can't do something like jax.numpy.linspace(x[0],10,50) because the linspace is depending on the parameters 'x' being reverse-mode differentiated. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Explore Upgrading Python K8s library We're currently bound by 10.0 https://github.com/kubernetes-client/python/releases/tag/v11.0.0a1\ **cc:** @joshmeek Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Clang 6.0 implications in cppstd flags We have added to the `settings.yml` clang 6.0, but we have to review the `cppstd` flags and `package_id` to adjust it correctly and knowing the default one of the compiler to keep the compatibility of packages that do not specify the `cppstd` setting. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Transformer Vit-MAE hard coded image channels ### Feature request Although the config file for the model accepts number of input channels, the class methods patchify and unpatchify use hard coded 3 channel image input. It should use num_channels argument of the config. https://github.com/huggingface/transformers/blob/a727db62f4f4e5cb15020fa5efa86ae559324616/src/transformers/models/vit_mae/modeling_vit_mae.py#L899 ### Motivation With this feature, VIT MAE model will be able to run on gray scale images as well ### Your contribution I already fixed it in my code, but I haven't tested it thoroughly Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add annotation to circuit_drawer() for snapshot instructions <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? PR #1021 added support for drawing a barrier line to the circuit drawer for the` snapshot` instruction. However, to make the visualizations for the snapshot instruction more useful we should add a label above the barrier line drawn. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: add circuit diagrams to source code when some claim about a circuit is made ### What is the expected enhancement? when reading source code that is related to some circuits, it is often useful to be able to see the circuit. examples are transpiler tests (which claim two pre-/post-transpile circuits are equivalent), and circuit equivalence libraries. Examples of files that have this already: https://github.com/Qiskit/qiskit-terra/blob/main/test/python/transpiler/test_dynamical_decoupling.py https://github.com/Qiskit/qiskit-terra/blob/main/test/python/transpiler/test_instruction_alignments.py Examples of files that do not but could benefit: https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/circuit/library/standard_gates/equivalence_library.py https://github.com/Qiskit/qiskit-terra/blob/main/test/python/transpiler/test_hoare_opt.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 PrefectHQ/prefect codebase. Here's the problem: Refreshing tokens via GraphQL has the wrong input type ## Description *A clear description of the bug* The GraphQL mutation issued to refresh an auth token has the wrong input type; I believe it should be `refresh_token_input` but it's just `refresh_token`. The change happened [here](https://github.com/PrefectHQ/prefect/commit/cdd7ea745ba95fec0286ebfb2b80454adbc80137#diff-4a014f9fa1d03a95b5f41c18553bfea0R472). This results in a 400 error when calling `Client._refresh_access_token()` with a USER-scoped token. ## Expected Behavior *What did you expect to happen instead?* The token would be refreshed without error. ## Reproduction *A minimal example that exhibits the behavior.* ``` import prefect c = prefect.Client(api_token=<USER TOKEN>) c.login_to_tenant(<TENANT>) c._refresh_access_token() # error ``` ## Environment *Any additional information about your environment* *Optionally run `prefect diagnostics` from the command line and paste the information here* Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Problems accessing Variables properties using Cloud SDK, I'm able to construct a Configs resource, a Variables resource in it and set a text value but, when I try to access these properties through Cloud Client Libraries for Python, I'm unable to get the values: ``` gcloud beta runtime-config configs variables get-value my-variable \ --config-name=${CONFIG} \ --project=${PROJECT} ``` Returns: ``` my-value ``` ``` gcloud beta runtime-config configs variables describe my-variable \ --config-name=${CONFIG} \ --project=${PROJECT} ``` Returns: ``` atomicName: projects/$PROJECT/configs/$NAME/variables/my-variable name: my-variable text: my-value updateTime: '2017-08-29T15:03:26.359064036Z' ``` And: ```python from google.cloud import runtimeconfig client = runtimeconfig.Client() config = client.config(CONFIG) print (config.exists()) print(config.get_variable(VARIABLE).exists()) print(config.get_variable(VARIABLE).full_name) ``` Returns: ``` True True projects/$PROJECT/configs/$NAME/variables/$VARIABLE ``` But: ``` print(config.get_variable(VARIABLE).state) print(config.get_variable(VARIABLE).value) ``` Returns: ``` None None ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Visual Studio 2015 support While playing around with #429 I noticed that there are a few subtle differences between how Visual Studio 2010 and 2015 handle project / solution files. I want to bring in vs2015 support for meson and discuss the best way for doing this. Should I add it as a separate backend (sharing most of the code in a super class, of course) like CMake does or just control the version with backend options, once I implemented those? I feel like a separate backend is cleaner. BTW: Is there any reason why meson started with vs2010 in the first place and did not use vs2015 right away? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: CMake helper should handle fPIC like Autotools helper is doing To help us debug your issue please explain: - [X] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [X] I've specified the Conan version, operating system version and any tool that can be relevant. - [X] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Conan version 1.0.4 If fPIC is an options in the recipe. Enable/Disable it depending on the compiler should be managed by CMake helper like autotools helper is doing. Usually this check is needed. ```python def build(self): cmake = CMake(self) ... if self.options.fPIC and self.settings.compiler != "Visual Studio": cmake.definitions["CMAKE_CXX_FLAGS"] = "-fPIC" cmake.definitions["CMAKE_C_FLAGS"] = "-fPIC" ``` Example with autotools helper: ``` from conans import ConanFile, AutoToolsBuildEnvironment class ExampleConan(ConanFile): ... def build(self): env_build = AutoToolsBuildEnvironment(self) env_build.fpic = True env_build.libs.append("pthread") env_build.defines.append("NEW_DEFINE=23") env_build.configure() env_build.make() ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Scientific notation in QASM output causes export to other platform to fail ### Environment - **Qiskit version**: {'qiskit-terra': '0.24.0', 'qiskit-aer': '0.12.0', 'qiskit-ignis': '0.7.1', 'qiskit-ibmq-provider': '0.20.2', 'qiskit': '0.43.0', 'qiskit-nature': None, 'qiskit-finance': None, 'qiskit-optimization': None, 'qiskit-machine-learning': None} - **Python version**: 3.10.6 - **Operating system**: Linux Mint ### What is happening? Exporting a circuit with small rotation gates through circuit.qasm() results in scientific notation being used. This causes issues when importing the QASM code into another quantum computing platform. ### How can we reproduce the issue? ``` from qiskit import QuantumCircuit qc = QuantumCircuit(1) qc.rx(0.00001, 0) print(qc.qasm()) ``` output: ``` OPENQASM 2.0; include "qelib1.inc"; qreg q[1]; creg meas[1]; rx(1e-05) q[0]; barrier q[0]; measure q[0] -> meas[0]; ``` ### What should happen? output: ``` OPENQASM 2.0; include "qelib1.inc"; qreg q[1]; creg meas[1]; rx(0.00001) q[0]; barrier q[0]; measure q[0] -> meas[0]; ``` ### Any suggestions? The conversion from float to string happens in `pi_check`. The call is `pi_check(0.00001, output="qasm", eps=1e-12)` and returns `'1e-05'`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: docs: transaction doesn't have property succeeded The docs still mention the `succeeded` property on transactions run with `with` even though it has been removed in ed0762b9531bc68f7a9e90835a0f0fbb75ddf383. It's not clear to me how to check for a successful transaction now. I suspect it throws an exception otherwise, which mirrors `ndb` behaviour, but I still check for `_status == 3` just in case. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: [nginx] NGINX Plus extended status API depreciated; Integration needs to use Plus API instead NGINX R13 was just released and it replaces the Extended Status API with the NGINX Plus API. [See Announcement](https://www.nginx.com/blog/nginx-plus-r13-released/) A future version of NGINX Plus will drop support for the Extended Status API. They are promising at least 6 months before they do so. The Datadog integration for NGINX Plus depends on the Extended Status API (http status module). https://github.com/DataDog/integrations-core/tree/master/nginx ### Extended Status API Deprecated The previous on-the-fly reconfiguration and extended status APIs are now deprecated. The deprecated APIs will continue to be shipped with NGINX Plus for a minimum of 6 months, alongside the new NGINX Plus API. After this period, the old APIs will be removed in a subsequent release of NGINX Plus. ### NGINX Plus API NGINX Plus R13 includes a new API that is unified under one single endpoint. Previous versions of NGINX Plus included separate upstream_conf and extended status APIs. The new API combines the functionality of both, and also includes a new Key-Value Store module which brings a variety of use cases for on-the-fly reconfiguration (discussed in the next section). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: frozen setup: permission denied for default ipython_dir Ipython's embedded shell is creating its configuration directory in `../.ipython` in frozen setups. When the directory is not writeable (such as if the frozen code was in `c:/Program\ Files/app/`, then `c:/Program\ Files/.ipython` fails to be created by non-admin), ipython fails with `WindowsError`. This case should be handled more gracefully - e.g. by doing without configuration directory. A workaround is to set IPYTHONDIR to something writeable (in my case, `expanduser('~/.ipython')`) before constructing the embedded shell. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Storage: Provide credential-free access to public-access buckets Per the [GCS authentication doc](https://cloud.google.com/storage/docs/authentication): > Objects are anonymously accessible if the `allUsers` group has `READ` permission. Add support for such access to the storage client. Two strategies seem possible: - Add a classmethod factory to the `Client` class which bypasses inferring credentials from the user environment. - Add a custom `AnonymousCredentials` singleton which can be passed to the `Client` constructor. We don't need to enforce any limits on the access to buckets / objects retrieved from the "anonymous" client: the back-end will return `UNAUTHORIZED`. System tests can use the `gcp-public-data-landsat` bucket, if desired (hopefully CI throttling won't be an issue). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: API Endpoint - CRUD - DAG Hello We need to create several endpoints that perform basic CRUD operations on **DAG**. We need the following endpoints: - PATCH /dags/{dag_id} It depends on https://github.com/apache/airflow/issues/8128 Detailed information is available in the issue: https://github.com/apache/airflow/issues/8118 LOVE, Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: MAINT: remove numpy/tools/test-installed-numpy.py ? Looking at Matti's modifications in #13482, I don't see a good reason to keep `test-installed-numpy.py` if we are going to continue using `runtests.py`. Both have separate parsers to accomplish similar things, but `runtests.py` is more developed / actively used while `test-installed-numpy.py` still has discussion of nose / python 2.4, and Matti's proposed change there adds `-n` option which does something different in `runtests.py`. `runtests.py -n` will test installed NumPy instead of rebuilding, so seems like redundancy / maintenance burden we don't need moving forward Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Make installation of system packages in system_requirements() optional Feature request: It would be nice if it would be possible to disable installation of system packages in `system_requirements()`. An environment variable, e.g. `CONAN_DISABLE_SYSREQUIRES`, would be handy. In general this would be helpful when testing packages in environments without sudo-rights where required packages are preinstalled. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: host zlib is found using a cross file. **Describe the bug** When using a cross file which is not setting pkg_config_libdir, meson find the host version of zlib with ``` MESON build-cross --cross-file=path_to/my-cross-file.txt ``` **To Reproduce** Meson file: ``` project('hellomeson', 'c') cc = meson.get_compiler('c') libz_dep = dependency('zlib', required : false) if not libz_dep.found() warning('unable to find libz') endif executable('hello-meson', 'src/hello.c') ``` Cross file: ``` [host_machine] system = 'linux' cpu_family = 'aarch64' cpu = 'arm64' endian = 'little' [properties] c_args = [] cpp_args = [] objc_args = [] objcpp_args = [] c_link_args = [] cpp_link_args = [] objc_link_args = [] objcpp_link_args = [] pkg_config_libdir = ['__unknown_sysroot__'] [binaries] c = ['aarch64-linux-gnu-gcc'] cpp = ['aarch64-linux-gnu-g++'] ar = ['aarch64-linux-gnu-ar'] pkgconfig = 'pkg-config' strip = ['aarch64-linux-gnu-strip'] ``` **Expected behavior** To not find any zlib or at least not the one from my host and then use it.. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? cross build * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.) Ubuntu 18.04 * what Python version are you using e.g. 3.8.0 3.6.9 * what `meson --version` master * what `ninja --version` if it's a Ninja build 1.8.2 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [question] Getting 'settings.compiler.libcxx' value not defined in a --pure-c project <!-- What is your question? Please be as specific as possible! --> - [X] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Even though I've created a new package with the flag `--pure-c`, which conanfile.py template configures the deletion of the field `self.settings.compiler.libcxx`, the command conan create still fails with the error `ERROR: : 'settings.compiler.libcxx' value not defined`. Am I doing something wrong? Is that a bug? Here are the commands: ``` conan new myproj/1.2.3 --test --pure-c ``` ``` # generated conanfile.py def configure(self): del self.settings.compiler.libcxx ``` ``` conan create . user/testing -s compiler=clang -s compiler.version=10 Exporting package recipe myproj/1.2.3@user/testing: A new conanfile.py version was exported myproj/1.2.3@user/testing: Folder: /home/myuser/.conan/data/myproj/1.2.3/user/testing/export myproj/1.2.3@user/testing: Exported revision: 71b84694e77a8c54b51a1f797a31116a Configuration: [settings] arch=x86_64 arch_build=x86_64 build_type=Release compiler=clang compiler.version=10 os=Linux os_build=Linux [options] [build_requires] [env] ERROR: : 'settings.compiler.libcxx' value not defined ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: ResultHandlers should be called in TaskRunner pipeline steps Another PIN 2 issue (https://github.com/PrefectHQ/prefect/pull/570). Instead of delegating out result handling to state serializers (as is currently implemented), result handling should take place inside a TaskRunner pipeline step (and failures should raise `ENDRUN`s accordingly). Note that: - output result handling should only take place if `cache_for` is provided on a task - input result handling should use `state.metadata` (https://github.com/PrefectHQ/prefect/issues/573) to determine the correct result handler to use for caching _each individual input_ `JSONResultHandler` for handling small data There are certain situations in which a user might want to place small bits of _raw_ data into the database (strings, simple numbers, etc.). To provide a route to doing this, we should implement a `JSONResultHandler` which simply returns `json.dumps` for an object. Note this handler needs to be serializable (https://github.com/PrefectHQ/prefect/issues/572) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: GCC ABI compatibility warning always points to default profile Steps to reproduce: ``` $ conan --version # not the latest, but the issue is still present in master Conan version 1.12.1 $ conan profile new --detect gcc Found gcc 8.2 gcc>=5, using the major as version Found clang 7.0 ************************* WARNING: GCC OLD ABI COMPATIBILITY *********************** Conan detected a GCC version > 5 but has adjusted the 'compiler.libcxx' setting to 'libstdc++' for backwards compatibility. Your compiler is likely using the new CXX11 ABI by default (libstdc++11). If you want Conan to use the new ABI, edit the default profile at: ~/.conan/profiles/default adjusting 'compiler.libcxx=libstdc++11' ************************************************************************************ ``` This is misleading, because I did not create a `default` profile, but rather a profile named `gcc`. I suppose the warning in [this line](https://github.com/conan-io/conan/blob/dac7447838d95361676c43cb055e202556092be6/conans/client/conf/detect.py#L151) and two lines up should be changed to use the actual name of the profile being created. Perhaps a bit of an edge case because most folks will use only one profile, but still. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `install_data()` default destination directory in subprojects The default `install_dir` for `install_data()` is documented to be `{datadir}/{projectname}` thus I would expect the following calls to install in the same directory: ``` install_data('foo') install_data('bar', install_dir: get_option('datadir') / meson.project_name()) ``` However, when the following snippet appears in a Meson project installed as subproject, they do not. The default `install_dir` is derived from the parent project name. I've verified this with the current git master. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: `jupyter-execute` displayed in docs The `.. jupyter-execute` command is erroneously displayed in the [docs](https://qiskit.org/documentation/stubs/qiskit.circuit.QuantumCircuit.initialize.html?highlight=initialize#qiskit.circuit.QuantumCircuit.initialize). ![image](https://user-images.githubusercontent.com/42675093/176892071-283ba9cd-5aee-47f9-b800-76afdb0067ef.png) **Source Code** https://github.com/Qiskit/qiskit-terra/blob/fe8ab43f1218d6997458fb3bf4011045f40932b0/qiskit/extensions/quantum_initializer/initializer.py#L163 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Could we have support for scipy.stats.logistic? In #324 we got support for `logit` and `expit` from `scipy.special`. This provides all the building blocks to also support `scipy.stats.logistic` (in particular, it’s members `cdf`, `pdf`, `ppf`, `logcdf` and `logpdf`). Having this would enable doing maximum-likelihood estimation of logistic regression using `scipy.optimize`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Documentation Unclear: "If the property is not set locally, returns None." The [Google Storage Blob documentation](https://googlecloudplatform.github.io/google-cloud-python/latest/storage/blobs.html) says that almost all properties return the value `None` if the "property is not set locally." However, there is no documentation explaining how properties are set/unset locally or when that occurs. This is confusing, there should be a preamble explaining when local Blob properties are set locally. ### Motivation I ran into this because I started seeing some of these values return `None` in my project in unexpected circumstances (there may be another bug there), but when I went to the documentation, it did not shed much light on why or when these properties should be returning `None`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: DeprecationWarnings should be visible by default in interactive usage DeprecationWarning and PendingDeprecationWarning are invisible by default. The rationale for this is that they are only useful to people who are writing code, so they should not be shown to end-users who are merely running code. If someone is typing stuff into the interactive REPL or a notebook, though, and the code they type uses some deprecated functionality, then we should actually show them this warning. We know that the author is sitting right there. And they're probably going to take whatever they tested interactively and move it into a more permanent form and ugh. This problem is particularly acute for packages that are primarily used through the interactive prompt, like numpy. I'm really tired of getting bugs like this: numpy/numpy#5919 The solution is simple: when entering interactive mode, IPython should do something like: ``` warnings.filterwarnings("default", category=DeprecationWarning, module="__main__") warnings.filterwarnings("default", category=PendingDeprecationWarning, module="__main__") ``` This means "for any `DeprecationWarning` or `PendingDeprecation` warning which is caused by code running in the module with name `"__main__"`, use the `"default"` handler (which means: display once per line of code that triggered it). (Confusingly, the default handler for these warning messages is not `"default"`, but `"ignore"`. So overriding the default with `"default"` produces a non-default outcome.) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: install_data() doesn't accept files() object ``` ... plugins = files('example-c.plugin', 'example-python.plugin') install_data(plugins, install_dir : plugin_path) ... ``` ``` Meson encountered an error in file libdnf/plugins/meson.build, line 3, column 0: Arguments must be strings. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Tutorial broken link to Plugins Page The "Plugins" link on this page: http://jupyterlab-tutorial.readthedocs.io/en/latest/labextensions.html is broken, missing .html in the end I believe. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: AuthorizationError when watching logs from CLI When running with `prefect run cloud --logs`, after a few minutes I see the following error: ``` prefect.utilities.exceptions.AuthorizationError: [{'message': 'AuthenticationError', 'locations': [], 'path': ['flow_run'], 'extensions': {'code': 'UNAUTHENTICATED'}}] ``` The run itself succeeds but the logs stop at that point, so I guess the token is initially valid but just expires...? cc @joshmeek @cicdw Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ufunc doc not in html build ? It seem the docstring of "ufunc" is not in the html build of the docs: ``` In [5]: from numpy import ufunc In [6]: 'whole array' in ufunc.__doc__ Out[6]: True ``` If I grep the html build for "whole array" there is no results... ufunc doc is set in `numpy/core/_add_newdocs.py`, like other things so there is no reason for it not to be built, it likely miss a entry in generated API ? Am I really bad at searching ? Or maybe that's on purpose. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Switch from imgmath to mathjax For html doc builds we currently need to have LaTeX installed, which in general is a pain. In the Gitpod setup this also bloats the Docker image. `sphinx.ext.imgmath` needs LaTeX, `sphinx.ext.mathjax` does not. Older discussion in gh-11753. And from https://github.com/numpy/numpy/pull/18822#issuecomment-824331826: >> It was needed for `sphinx.ext.imgmath` to work without warnings. From my understanding, the `:math:` directives would not display anything without latex + dvisvgm. >> >> (scipy uses `sphinx.ext.mathjax` so it does not run into this issue) > Ah thanks, that makes perfect sense now. The SciPy setup works fine, and I think is actually preferable given that we can avoid LaTeX: - discussion on moving from `mathjax` to `imgmath`: https://github.com/scipy/scipy/pull/7358 - PR to bundle `mathjax` instead: https://github.com/scipy/scipy/pull/7376 - Pandas and scikit-learn use `mathjax` as well, but have limitations for viewing rendered math offline. I think the SciPy approach is preferred here. _Proposal: let's switch to `mathjax` and use https://github.com/scipy/scipy-mathjax as a submodule._ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Test metrics is not being reported to TensorBoard since 0.7.2 <!-- ### Common bugs: 1. Tensorboard not showing in Jupyter-notebook see [issue 79](https://github.com/PyTorchLightning/pytorch-lightning/issues/79). 2. PyTorch 1.1.0 vs 1.2.0 support [see FAQ](https://github.com/PyTorchLightning/pytorch-lightning#faq) --> ## 🐛 Bug <!-- A clear and concise description of what the bug is. --> ### To Reproduce Steps to reproduce the behavior: https://colab.research.google.com/drive/1fM6xL140u9pU0vcmJf6qKzHwczjcMpcF <!-- If you have a code sample, error messages, stack traces, please provide it here as well --> #### Code sample <!-- Ideally attach a minimal code sample to reproduce the decried issue. Minimal means having the shortest code but still preserving the bug. --> Please see the colab above. ### Expected behavior <!-- A clear and concise description of what you expected to happen. --> The test metrics should be reported. ### Environment The Colab environment: ``` cuda: GPU: available: False version: 10.1 packages: numpy: 1.18.2 pyTorch_debug: False pyTorch_version: 1.4.0 pytorch-lightning: 0.7.2 tensorboard: 2.2.0 tqdm: 4.38.0 system: OS: Linux architecture: 64bit processor: x86_64 python: 3.6.9 version: #1 SMP Wed Feb 19 05:26:34 PST 2020 ``` ### Additional context Regression from 0.7.1 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 mesonbuild/meson codebase. Here's the problem: get_variable() fallback does not work with arrays This fails with `Items of foreach loop is not an array`: ``` arr = get_variable('does_not_exist', []) foreach i : arr error('Should not be reached!') endforeach ``` also ``` arr = get_variable('does_not_exist', ['a']) foreach i : arr endforeach ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Build error when using target.extract_all_objects() when target has header sources An issue has been discovered while working on PR #2711: > ninja: error: 'gio/gio-2.0@sha/meson-generated_.._gnetworking.h.o', needed by 'gio/libgio-2.0.a', missing and no known rule to make it According to @nirbheek it is a bug in extract_all_objects(): > I've seen this bug before elsewhere. It's because when figuring out the list of sources to use in extract_all_objects(), we don't skip over headers. See the sources classification in backends/ninjabackend.py:NinjaBackend.generate_target(). Specifically, look at how we handle the contents oftarget_sources and generated_sources. > >This file classification needs to be factored out and probably moved to the BuildTarget object so it can also be used by extract_all_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 Qiskit/qiskit codebase. Here's the problem: CouplingMap doesn't document it creates (and requires) a graph with contiguous qubit ids ### Information - **Qiskit Terra version**: `qiskit-terra==0.18.1` - **Python version**: `3.7.3` - **Operating system**: `macOS Mojave` ### What is the current behavior? transpiler CouplingMap method fails to recognize that the graph with edges `(0, 1), (1, 4)` is connected. ### Steps to reproduce the problem ``` import networkx as nx from qiskit.transpiler import CouplingMap edges = [(0, 1), (1, 4)] subg_coupling = CouplingMap(edges) print(subg_coupling.get_edges()) print(subg_coupling.is_connected()) print(nx.is_connected(nx.Graph(edges))) ``` ### What is the expected behavior? The CouplingMap is_connected() method returns False, while the networkx method returns True. ### Suggested solutions One option is to use the `networkx` is_connected() method instead of the `retworkx` method. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: conan user command show which users are authenticated cc / @Aalmann PRobably use JSon output to it 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 PrefectHQ/prefect codebase. Here's the problem: Add Optional "Name" to Agents - in init - in CLI `--name` and the logger name will adjust accordingly. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Kernel/Interrupt Kernel does not terminate stuck subprocesses in the notebook When a subprocess is run from the notebook, if it gets stuck the kernel will get locked waiting for it. Selecting Kernel/Interrupt from the menu does not terminate the subprocess, but rather leaves the kernel in an unstable, "partially locked" state, where other cells do not execute. The only resolution is to restart the kernel. This occurred for me on Windows - I do not know if it also happens on Unix. To demonstrate, start a notebook and enter !python in a cell. The process will lock as it is waiting for interactive input. As there is no way to provide that input, the kernel must be restarted to continue. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the celery/celery codebase. Here's the problem: I can‘t stop a task by its task_id [2018-12-02 23:53:58,955: INFO/MainProcess] Received task: tasks.add[bb1fe102-c1f9-4361-9370-1129900c0d52] [2018-12-02 23:54:02,479: INFO/MainProcess] Terminating bb1fe102-c1f9-4361-9370-1129900c0d52 (Signals.SIGTERM) [2018-12-02 23:54:02,490: ERROR/MainProcess] pidbox command error: NotImplementedError("<class 'celery.concurrency.eventlet.TaskPool'> does not implement kill_job",) Traceback (most recent call last): File "d:\envs\aidcs\lib\site-packages\kombu\pidbox.py", line 101, in dispatch reply = handle(method, arguments) File "d:\envs\aidcs\lib\site-packages\kombu\pidbox.py", line 122, in handle_cast return self.handle(method, arguments) File "d:\envs\aidcs\lib\site-packages\kombu\pidbox.py", line 116, in handle return self.handlers[method](self.state, **arguments) File "d:\envs\aidcs\lib\site-packages\celery\worker\control.py", line 163, in revoke request.terminate(state.consumer.pool, signal=signum) File "d:\envs\aidcs\lib\site-packages\celery\worker\request.py", line 249, in terminate pool.terminate_job(self.worker_pid, signal) File "d:\envs\aidcs\lib\site-packages\celery\concurrency\base.py", line 115, in terminate_job '{0} does not implement kill_job'.format(type(self))) NotImplementedError: <class 'celery.concurrency.eventlet.TaskPool'> does not implement kill_job [2018-12-02 23:55:38,956: INFO/MainProcess] Task tasks.add[bb1fe102-c1f9-4361-9370-1129900c0d52] succeeded in 100.0s: 8 this is my main code: from celery.app.control import Control from tasks import add, app myControl=Control(app) myControl.revoke(task_id="b11729b0-6272-4527-af9d-dc24c0ad492d", terminate=True) finally，if i want to look at the state of the task only by task_id (just like above), how . Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Matplotlib circuit drawer returns NoneType rather than PIL.Image <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior? The matplotlib circuit drawer returns a NoneType rather than the `PIL.Image` as stated in the docstring for `circuit_drawer` and `matplotlib_circuit_drawer`. Thus, you can do nothing with the output. For example, it would be nice to grab the output and use it in a matplotlib `subplots` or the like and group circuits in a single figure. ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: storage's delete_bucket method should take a "force" parameter deleting even a full bucket This would just be a shortcut for: ``` if force: for key in bucket: key.delete() ``` If people just want to kill a bucket, we shouldn't make it more complicated to do this. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: SCM fails in Windows if remote URL is a local path with backslash if the git clone of the repo is done with forward slash, all is ok, but if done with backslash, as would do automatically if from a python script, the SCM replacement in the conan recipe will have backslash and the conanfile.py will fail to parse Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Text circuit drawer raises ValueError if an empty circuit is given <!-- ⚠ 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**: 0.7.3 - **Python version**: 3.6.8 - **Operating system**: macOS HighSierra ### What is the current behavior? If I try to draw an empty circuit with the text drawer, it raises ValueError. ### Steps to reproduce the problem ``` # sample.py from qiskit import QuantumCircuit qc = QuantumCircuit() print(qc) ``` ``` $ python sample.py Traceback (most recent call last): File "c.py", line 3, in <module> print(qc) File "/Users/ima/envs/vqe2/lib/python3.6/site-packages/qiskit/circuit/quantumcircuit.py", line 83, in __str__ return str(self.draw(output='text')) File "/Users/ima/envs/vqe2/lib/python3.6/site-packages/qiskit/tools/visualization/_text.py", line 413, in __str__ return self.single_string() File "/Users/ima/envs/vqe2/lib/python3.6/site-packages/qiskit/tools/visualization/_text.py", line 438, in single_string return "\n".join(self.lines()) File "/Users/ima/envs/vqe2/lib/python3.6/site-packages/qiskit/tools/visualization/_text.py", line 472, in lines layers = self.build_layers() File "/Users/ima/envs/vqe2/lib/python3.6/site-packages/qiskit/tools/visualization/_text.py", line 672, in build_layers layers.append(InputWire.fillup_layer(self.wire_names(with_initial_value=True))) File "/Users/ima/envs/vqe2/lib/python3.6/site-packages/qiskit/tools/visualization/_text.py", line 394, in fillup_layer longest = max([len(name) for name in names]) ValueError: max() arg is an empty sequence ``` ### What is the expected behavior? No ValueError. ### Suggested solutions Check whether `names` is empty or not. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Conan Server 1.10 is broken #### Description Hi! I'm trying to start conan server but seems like is broken. $ conan_server > Traceback (most recent call last): > File "/opt/miniconda3/bin/conan_server", line 7, in <module> > from conans.conan_server import run > File "/opt/miniconda3/lib/python3.6/site-packages/conans/conan_server.py", line 1, in <module> > from conans.server.server_launcher import main > File "/opt/miniconda3/lib/python3.6/site-packages/conans/server/server_launcher.py", line 53, in <module> > launcher = ServerLauncher() > File "/opt/miniconda3/lib/python3.6/site-packages/conans/server/server_launcher.py", line 47, in __init__ server_capabilities, only_v1=False) > TypeError: __init__() got an unexpected keyword argument 'only_v1' #### Environment Conan Versions: 1.10 Python version: 3.6, 3.7 OS: Linux Ubuntu 18.04 #### Steps to reproduce pip3 install conan==1.10.0 conan_server or using Conan Docker Tools: BUILD_CONAN_SERVER_IMAGE=1 python build.py docker run -t -p 9300:9300 --name conan_server conanio/conan_server:latest - [X] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [X] I've specified the Conan version, operating system version and any tool that can be relevant. - [X] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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] SystemPackageTool installed() method is missing According to [conan-io/docs](https://github.com/conan-io/docs/blame/18d6adbf56a55a7d9185a12aa707b5fe161b35e9/reference/conanfile/methods.rst#L642), [docs.conan.io](https://docs.conan.io/en/latest/reference/conanfile/methods.html#systempackagetool) SystemPackageTool should have a public `installed(package_name)` method. Instead, only a protected `_installed(packages)` is provided (see [here](https://github.com/conan-io/conan/blob/develop/conans/client/tools/system_pm.py#L146)). ### Environment Details (include every applicable attribute) * Operating System+version: Ubuntu 18.04.3 LTS * Compiler+version: no applicable * Conan version: 1.20.5 * Python version: 3.6.9 ### Steps to reproduce (Include if Applicable) Try to use `SystemPackageTool.installed(package_name)` ### Logs (Executed commands with output) (Include/Attach if Applicable) ` ERROR: while executing system_requirements(): 'SystemPackageTool' object has no attribute 'installed'` and if `_installed` is used: ``` Linter warnings WARN: Linter. Line 25: Access to a protected member _installed of a client class ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: GAX API hangs during (second) 'publish' /cc @bjwatson ``` python ====================================================================== ERROR: test_message_pull_mode_e2e (pubsub.TestPubsub) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/tseaver/projects/agendaless/Google/src/gcloud-python/system_tests/pubsub.py", line 157, in test_message_pull_mode_e2e topic.publish(MESSAGE_1, extra=EXTRA_1) File "/home/tseaver/projects/agendaless/Google/src/gcloud-python/gcloud/pubsub/topic.py", line 246, in publish message_ids = api.topic_publish(self.full_name, [message_data]) File "/home/tseaver/projects/agendaless/Google/src/gcloud-python/gcloud/pubsub/_gax.py", line 171, in topic_publish event.wait() AttributeError: 'exceptions.AttributeError' object has no attribute 'message_ids' ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Respect service_healthy in docker-compose run <!-- Welcome to the docker-compose issue tracker! Before creating an issue, please heed the following: --> ## Description of the issue `docker-compose run` and `docker-compose up` demonstrate different behaviour when it comes to `condition: service_healthy`. `up` correctly waits for all the dependencies to be healthy while `run` only creates dependencies without waiting for them to be healthy (effectively disregarding the `condition`). Personally, I would consider this a bug since this is a rather unexpected inconsistent behaviour. ## Context information (for bug reports) Relevant issues with examples of this: - [docker-compose run: healthcheck not detecting if one of the services failed to start](https://github.com/docker/compose/issues/4420) - [run dont do condition: service_healthy](https://github.com/docker/compose/issues/4952) - [Healthcheck dependency not respected during one-off command (run)](https://github.com/docker/compose/issues/4369) ## Steps to reproduce the issue 1. `docker-compose run` a service that declares a `condition: service_healthy` dependency ### Observed result `docker-compose` only creates a container for the dependency and doesn't wait for the health-check to pass. ### Expected result `docker-compose` creates a container for the dependency and waits for the health-check to pass - demonstrating the same behaviour as `docker-compose up`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add pulse builder "macro" decorator <!-- ⚠ 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? I have found a decorator of this form very useful for constructing pulse experiments from functions. I suggest `macro` to represent a python function with an activated builder context that will be called and evaluated during program construction. I propose that we reserve `function` for support of pulse functions which will be analyzed and compiled as a function in the pulse IR with a signature, to then be loaded and evaluated in the hardware. ```python import functools from qiskit.pulse import builder # decorator for pulse builder function def macro(func): @functools.wraps(func) def inst_map_wrapper(*args, **kwargs): builder_ = builder._active_builder() # activate the pulse builder before calling the function with pulse.build(builder_.backend) as built: output = func(*args, **kwargs) builder_.call_schedule(built) return output return inst_map_wrapper @macro def nested(a): pulse.play(pulse.Gaussian(100, a, 20), pulse.drive_channel(0)) return a*2 @macro def test(): pulse.play(pulse.Constant(100, 1.0), pulse.drive_channel(0)) output = nested(0.5) print(output) with pulse.build(backend=backend) as sched: print(builder._active_builder()) test() sched.draw() ``` We should add this to the standard pulse builder library, document, rename what needs to be to be clearer and test. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Weird behavior of --update I have a bunch of remotes defined in my Conan configuration. We'll call them A, B and C. They are defined in the same order so remote A should be used first, then B, then C. Now I continuously upload new versions for the package `Pkg/x.x.x.x@sick/dev` to remote C. These are required by a consumer application using `requires = "Pkg/[*]@sick/dev"`. I would have expected that a call to `conan install .. --update` in the consumer's build directory queries all of the remotes for new versions. However, that doesn't seem to be the case. It always resolves to the last installed version in the local cache. I have to explicitly add a `-r C` to the install command to make it fetch the most recent version from the remote. With `--update` Conan emits the message `%s versions not found in remotes` (sic). It seems that the corresponding line in the Conan sources is also missing the format expression. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ndarrays pickled on 1.16.0 cannot be loaded in previous versions As reported in #12825 in [these](https://github.com/numpy/numpy/issues/12825#issuecomment-456561919) [comments](https://github.com/numpy/numpy/issues/12825#issuecomment-456566648). Should change the module for backward compatibility Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: API reference: increase font size of "methods" back to standard size As identified by @cicdw API reference: increase font size of "methods" back to standard size As identified by @cicdw Can you help me debug this systematically and explain your reasoning?