[System] You are an expert software 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: Add Redis + TLS connections to result_backend setting Component issue of #2833. Users should be able to configure a connection to Redis over TLS using a url with protocol [`rediss://`](https://www.iana.org/assignments/uri-schemes/prov/rediss): `result_backend = 'rediss://...` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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] ContextualVersionConflict due to Pylint -> Astroid -> Six Conan depends on pylint: pylint>=2.0,!=2.3.0; python_version >= '3' Pylint version 2.4.3 depends on astroid: "astroid>=2.3.0,<2.4" astroid 2.3.3 depends on six~=1.12 (minimum 1.12, so will take 1.13 if available) conan requires six < 1.13 Result: > pkg_resources.ContextualVersionConflict: (six 1.13.0 (c:\python36\lib\site-packages), Requirement.parse('six<1.13,>=1.10.0'), {'conan'}) ### Environment Details (include every applicable attribute) * Operating System+version: Windows 10 * Compiler+version: * Conan version: 1.19.4 * Python version: 3.6.7 ### Steps to reproduce (Include if Applicable) Install conan in python As an aside, I'm curious as to why Conan requires Pylint to build conan packages. [bug] [windows] Path added to virtualenv is not considered when looking for a program Although there is a major refactor related to Conan virtualenvs (https://github.com/conan-io/conan/issues/5821) this issue can be addressed first: 1. Something wrong with the path for CMD: https://github.com/conan-io/conan/blob/4217bb326e02e14c8168b080ef1e7a07c18795c8/conans/test/functional/generators/virtualenv_test.py#L263 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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] SCM and not using "--ignore_dirty" copies wrong folder to source / build folder ### Environment Details (include every applicable attribute) * Operating System+version: Win10 * Compiler+version: VC15 * Conan version: 1.20.3 vs 1.19.2 * Python version: 3.7 ### Steps to reproduce (Include if Applicable) I have a `conanfile.py` located in a subfolder `test/main` of my git repository. The repository is in `dirty` state. When I use 'conan create ....` with changes in my repository with Conan 1.19.2 all files (starting from repository root) are copied to the source / build folder of the local cache. **Ok** When I use 'conan create .... --ignore_dirty` with changes in my repository with Conan 1.20.3 all files (starting from repository root) are copied to the source / build folder of the local cache. **Ok** When I use 'conan create .... ` with changes in my repository with Conan 1.20.3 only files loacated in 'test/main' are copied to the source / build folder of the local cache. The following build process fails, because the files are in other location. **Failed** Should conan try to copy the files from the same root as the git repository, when `--ignore_dirty` is not selected? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: np.load() "invalid shape in fixed-type tuple" in NumPy 1.16.0 In NumPy 1.16.0, `np.load()` fails to load some files created by `np.save()`, saying "ValueError: invalid shape in fixed-type tuple." The problem seems to be that #12358 changed `np.lib.format._read_array_header()`. It used to pass the descr to `np.dtype()`, but now it uses a new function `descr_to_dtype()` which fails for some valid inputs. We have significant amounts of data stored on disk with formats which NumPy 1.16.0 cannot load, so this is a showstopper for upgrading beyond 1.15. ### Reproducing code example: This fails in NumPy 1.16.0, but works in all prior versions: ```python import numpy as np a = np.zeros(1, np.dtype([('c', ('<f8', (5,)), (2,))])) np.save('a.npy', a) np.load('a.npy') ``` ### Error message: ``` Traceback (most recent call last): File "numpy/lib/npyio.py", line 440, in load pickle_kwargs=pickle_kwargs) File "numpy/lib/format.py", line 678, in read_array shape, fortran_order, dtype = _read_array_header(fp, version) File "numpy/lib/format.py", line 563, in _read_array_header dtype = descr_to_dtype(d['descr']) File "numpy/lib/format.py", line 282, in descr_to_dtype dt = numpy.dtype((descr_to_dtype(descr_str), shape)) File "numpy/lib/format.py", line 282, in descr_to_dtype dt = numpy.dtype((descr_to_dtype(descr_str), shape)) ValueError: invalid shape in fixed-type tuple. ``` ### Numpy/Python version information: NumPy 1.16.0 Python 3.6.6 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: DNS doesn't parse creationTime field I know DNS is not oficially supported yet, but I'm reporting it anyway. I'm using the master `gcloud-python` repo with this code: ``` python client = dns.Client.from_service_account_json( 'service-account.json', project='xyz-eu') zones = client.list_zones() ``` This is the error I get: ``` python Traceback (most recent call last): .. zones = client.list_zones() File "/app/src/gcloud/gcloud/dns/client.py", line 94, in list_zones for resource in resp['managedZones']] File "/app/src/gcloud/gcloud/dns/zone.py", line 67, in from_api_repr zone._set_properties(resource) File "/app/src/gcloud/gcloud/dns/zone.py", line 218, in _set_properties cleaned['creationTime'] = float(cleaned['creationTime']) ValueError: invalid literal for float(): 2015-04-02T13:21:24.943Z ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Document that MetadataEntry static initializers are deprecated Caused some confusion here: https://github.com/dagster-io/dagster/pull/8732#issuecomment-1175564089 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Number of experiments in primitive results ### What should we add? In the current specification of `SamplerResult` and `EstimatorResult` there is no unified way of retrieving the the total number of experiments that are comprised within one result object. It would be great to add a property `result.num_experiments` that would retrieve it. Additionally, when one of these objects is instantiated, no checks are performed to verify that the number of experiments is consistent across all data fields. This should be performed as well. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Input parsing issue with %prun ``` In [5]: %prun grouped.agg({'value1' : 'mean', 'value2' : 'var', 'value3' : 'sum'}) File "<string>", line 1 'value1' : 'mean', 'value2' : 'var', 'value3' : 'sum' ^ SyntaxError: invalid syntax ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: lsmagic causes invalid Notebook JSON This is happening in master. Steps to reproduce: - create a new notebook - type `lsmagic` - save the notebook A message pops up "Notebook validation failed" and the a console output shows: ``` [E 11:34:22.498 NotebookApp] Notebook JSON is invalid: '{"line": {"xmode": "Basi cMagics", "load_ext": "ExtensionMagics", "alias": "OSMagics", "logon": "LoggingM agics", "notebook": "BasicMagics", "killbgscripts": "ScriptMagics", "rehashx": " OSMagics", "pinfo": "NamespaceMagics", "pinfo2": "NamespaceMagics", "macro": "Ex ecutionMagics", ... ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Possible incompatibility with Visual Studio 2019 Preview (releasing in April) After installing Visual Studio 2019 Preview, which (I suppose) upgraded the MSVC compiler, it appears that the executables produced by Meson debug builds no longer have debugging information. It also appears that they aren't debug executables, actually, because my unit tests seem to be running much too fast for debug. I wanted to investigate what options are passed to the compiler, but on Windows the arguments are passed in a `@file`, and after ninja finishes, these files are gone. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: The specified 'cppstd=20' is not available for 'gcc 8'. Using Conan 1.4.0, I've manually added `20` and `gnu20` to `cppstd` in `settings.yml`. But when trying to build a package I get: ERROR: The specified 'cppstd=20' is not available for 'gcc 8'. Possible values are ['98', 'gnu98', '11', 'gnu11', '14', 'gnu14', '17', 'gnu17']' Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Implement throttling for tasks, by tags Proposal: allow for throttling the number of tasks that can be executed in parallel simultaneously, by `tags`. Basically this would be implemented as a queue within the `FlowRunner`, so that calls to the `Executor` would occur in groups of `group_size` / `pool_size` (whatever we decide to name it). Example: ```python from prefect import task, Flow @task(tags=["scrape"]) def scrape(url): pass @task(tags=["db"]) def save(data): pass with Flow('webscraper') as f: for url in LIST_OF_URLS: site = scrape(url) final = save(site) # no more than 15 scrape tasks will be simultaneously running # no more than 5 db tasks will be simultaneously running f.run(throttle=dict(scrape=15, db=5)) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: Inconsistent behaviour of arange I have installed JAX on Colab as in the QuickStart notebook. Then I run this instruction: ``` import jax.numpy as np print(np.arange(0.0, 1.0, 0.1)) ``` And I get an array with a single value [0], which is different from: ``` import numpy as np print(np.arange(0.0, 1.0, 0.1)) ``` Where I (correctly) get an array with 11 values 0, 0.1, ..., 0.9, 1.0. Is this intended? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [5.0.0] Celery does NOT start with both -D and -E options enabled Hi, I've just installed Celery 5.0.0 and noticed that it doesn't start when both `-D` and `-E` options enabled: Only `-E` options works fine: ``` $ celery -A sample.celery worker -E -------------- celery@MacBook-Pro.local v5.0.0 (singularity) --- ***** ----- -- ******* ---- Darwin-19.6.0-x86_64-i386-64bit 2020-09-24 15:59:59 - *** --- * --- - ** ---------- [config] - ** ---------- .> app: sample:0x7fc944afebd0 - ** ---------- .> transport: amqp://guest:**@192.168.0.101:5672// - ** ---------- .> results: disabled:// - *** --- * --- .> concurrency: 4 (prefork) -- ******* ---- .> task events: ON --- ***** ----- -------------- [queues] .> celery exchange=celery(direct) key=celery ``` But both `-D` and `-E` options doesn't work. It exits with exit code 0 and nothing happens... ``` $ celery -A sample.celery worker -D -E ``` **Info:** Python 3.7.9 Celery 5.0.0 on macOS 10.15 Catalina. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Account for existing objects in bucket when using storage.bucket.Bucket.upload_file From TODO: ``` python # TODO: What do we do about overwriting data? ``` See [`storage.bucket.Bucket.upload_file`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/bucket.py#L201) for relevant code and #146 for some context. `git blame` output ``` b7f1b774 (JJ Geewax 2014-01-29 18:02:29 -0500 201) # TODO: What do we do about overwriting data? ``` Account for existing objects in bucket when using storage.bucket.Bucket.upload_file From TODO: ``` python # TODO: What do we do about overwriting data? ``` See [`storage.bucket.Bucket.upload_file`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/bucket.py#L201) for relevant code and #146 for some context. `git blame` output ``` b7f1b774 (JJ Geewax 2014-01-29 18:02:29 -0500 201) # TODO: What do we do about overwriting data? ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: "num_examples" incorrect when using IterableDataset When using ```torch.utils.data.IterableDataset```, logging ```num_examlpes``` (as in https://github.com/huggingface/transformers/blob/main/src/transformers/trainer.py#L1518) is not the actual num_examples, but the number of examples processed on a single process. For example, when I have 2000 training samples and 2 gpus, with and IterableDataset, current output be like: ``` [INFO|trainer.py:1519] 2022-06-28 12:51:44,666 >> ***** Running training ***** [INFO|trainer.py:1520] 2022-06-28 12:51:44,666 >> Num examples = 1000 [INFO|trainer.py:1521] 2022-06-28 12:51:44,666 >> Num Epochs = 1 [INFO|trainer.py:1522] 2022-06-28 12:51:44,666 >> Instantaneous batch size per device = 8 [INFO|trainer.py:1523] 2022-06-28 12:51:44,666 >> Total train batch size (w. parallel, distributed & accumulation) = 16 [INFO|trainer.py:1524] 2022-06-28 12:51:44,666 >> Gradient Accumulation steps = 1 [INFO|trainer.py:1525] 2022-06-28 12:51:44,666 >> Total optimization steps = 125 ``` Here's the possible cause I've found: as defined in https://github.com/huggingface/transformers/blob/e02037b3524686b57c5a861ea49ac751f15568af/src/transformers/trainer.py#L1085 ```num_examples``` is equal to ``` len(dataloader.dataset)```. However, when ```isinstance(dataset, torch.utils.data.IterableDataset)```, the```dataloader.dataset``` is an instance of ```IterableDatasetShard```, which "generate samples for one of the processes only", whose ```__len__``` is the length of dataset on a single process, not the entire project. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: DetrAttention `is_decoder` is not defined https://github.com/huggingface/transformers/blob/fe861e578f50dc9c06de33cd361d2f625017e624/src/transformers/models/detr/modeling_detr.py#LL502C9-L502C19 The `is_decoder` parameter is in the init function, but it is not reference in the body. While in `DetrDecoderLayer`, this parameter is initialized as `True`. Very confused, not sure whether there's something missing in `DetrAttention`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Request for better error message when pmap and psum don't match on axis_name. ``` a = np.arange(4)[np.newaxis,:] print(a.shape) def test(x): return jax.lax.psum(x, axis_name='batch') jax.pmap(test)(a) ``` Gives an error message of `AttributeError: 'str' object has no attribute 'obj'`. It took me forever to figure out that the issue was the pmap needed axis_name='batch'. It would be helpful if this gave a better error message here. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Overloading `@` for `Operator` class ### What should we add? ## Proposition Overloading the `@` operator for class `qiskit.quantum_info.operators.Operator` ([documentation](https://qiskit.org/documentation/stubs/qiskit.quantum_info.Operator.html?highlight=operator#qiskit.quantum_info.Operator)) so it works the same as `Operator.compose()` method. The same behavior is done with class `qiskit.opflow.operator_base.OperatorBase` ([documentation](https://qiskit.org/documentation/stubs/qiskit.opflow.OperatorBase.html#qiskit.opflow.OperatorBase)). ## Motivation When going through the Open Science Prize 2021 I encountered [problem](https://github.com/qiskit-community/open-science-prize-2021/issues/5). After investigation it turned out that `Operator` class doesn't have `@` overloading, so in order to fix the issue `compose()` or `np.matmul()` methods need to be used. As this is good solution it would be easier to use `@`, especially for reading the code. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 mapping `Expr` values in DAG/QC converters ### What should we add? Once `Expr` values are valid in some `.condition` and `.target` attributes in `QuantumCircuit` instructions, they need to be supported through the `circuit_to_dag` and `dag_to_circuit` converters. Especially in `circuit_to_dag`, we must ensure that any implied classical dependencies between instructions are represented in the wires in the `DAGCircuit`. The work here will mostly be in ensuring that `DAGCircuit.apply_operation_back` has this handling. We should also ensure that `DAGCircuit.apply_operation_front` has the same handling. Depends on #10223 and #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 numpy/numpy codebase. Here's the problem: Going from numpy 1.14.5 to 1.15.0rc1 breaks loading a DLL using ctypes In our [Python API](https://github.com/ni/nimi-python) for accessing measurement hardware we allow the customer to retrieve their measurements in `numpy` arrays in case they want to do additional processing. When using `numpy` 1.14.5 or earlier, we are able to load our C DLL with no issue and make the appropriate calls using `ctypes`. When using `numpy` 1.15.0rc1, we get an error when `ctypes` tries to load the DLL saying "[WinError 126] The specified module could not be found". I am using `tox` to run tests so it is using `venv` and all I have to do is change the version of `numpy` and it will start working. This means the DLL is in the path as expected and all dependencies are also loadable. I have verified that `numpy` is the only installed package whose version is changing. I have verified that the path environment variable has the appropriate directory even in the failure case. I have verified that this happens on Python 2.7 and 3.6, both 32 bit and 64 bit. As far as I know we are using `ctypes` correctly. At this point I don't have any more ideas on what to look at. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add support for uploading table data via multipart/resumable requests See: - https://cloud.google.com/bigquery/loading-data-post-request#multipart - https://cloud.google.com/bigquery/loading-data-post-request#resumable Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Double check that fast_dev_run works correctly It should run a single validation and training batch and cover the full loop. Suggested by @adefazio Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: wrong or typo in signature for np.fromiter gen = (0 for _ in range(3) np.fromiter(iterable=gen,dtype='int') # fails np.fromiter(iter=gen,dtype='int') # works signature in docs and in core.multiarray declared as iterable np.__version__ Out[8]: '1.13.3' Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: Add multivariate normal pdf evalutation to jax.scipy It would be great to have a Multivariate gaussian pdf/logpdf implementation, similar to the univariate version in [jax.scipy.stats.norm](https://jax.readthedocs.io/en/latest/_modules/jax/scipy/stats/norm.html#logpdf). I am currently working with this hacky function: ``` @jit def multi_gauss_logpdf(x, mean, cov): """ Calculate the probability density of a sample from the multivariate normal. """ D = mean.shape[0] (sign, logdet) = np.linalg.slogdet(cov) p1 = D*np.log(2*np.pi) + logdet p2 = (x-mean).T @ np.linalg.inv(cov) @ (x-mean) return -1./2 * (p1 + p2) batch_logpdf = vmap(multi_gauss_logpdf, in_axes=(0, None, None)) ``` My `lax`/primitive knowledge is still fairly limited but I will try to put together a pr. Any recommendations how to speed things 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 ipython/ipython codebase. Here's the problem: %%time magic prevents assignment The `%%time` cell magic is preventing me from binding names. I found this in notebook code on Travis (py 3.6) and reproduced it locally (py 3.7) in notebook and in `ipython` at the terminal. It doesn't seem to apply to all cell magics: ``` Python 3.7.2 | packaged by conda-forge | (default, Mar 19 2019, 20:46:22) Type 'copyright', 'credits' or 'license' for more information IPython 7.4.0 -- An enhanced Interactive Python. Type '?' for help. In [1]: %%time ...: foo = "bar" ...: ...: CPU times: user 3 µs, sys: 0 ns, total: 3 µs Wall time: 6.91 µs In [2]: foo --------------------------------------------------------------------------- NameError Traceback (most recent call last) <ipython-input-2-f1d2d2f924e9> in <module> ----> 1 foo NameError: name 'foo' is not defined In [3]: %%prun ...: baz = "qux" ...: ...: 3 function calls in 0.000 seconds Ordered by: internal time ncalls tottime percall cumtime percall filename:lineno(function) 1 0.000 0.000 0.000 0.000 {built-in method builtins.exec} 1 0.000 0.000 0.000 0.000 <string>:2(<module>) 1 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler' objects} In [4]: baz Out[4]: 'qux' ``` Confirmed that 7.3.0 worked fine locally. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Latex barrier bugs There have been a number of attempts at fixing barriers in the latex drawer (https://github.com/Qiskit/qiskit-terra/pull/1727, https://github.com/Qiskit/qiskit-terra/pull/1534, https://github.com/Qiskit/qiskit-terra/pull/1361), but there are still bugs. ```python from qiskit import * qasm = """ OPENQASM 2.0; include "qelib1.inc"; qreg q[7]; cx q[1],q[6]; barrier q[1],q[4],q[5],q[6]; u3(1.8,-0.5,0.4) q[1]; cx q[0],q[1]; """ circ = QuantumCircuit.from_qasm_str(qasm) circ.draw(output='latex') ``` ![image](https://user-images.githubusercontent.com/8622381/62546337-4b6f3b80-b831-11e9-8595-a2aadb532a84.png) Bug 1: The barrier should only be on qubits 1, 4, 5, 6 -- but it is on qubits 1 to 4. Bug 2: It cuts through the U3 gate. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Sympy 1.9 deprecates `expr_free_symbol`, used in `ParameterExpression` <!-- ⚠ 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**: any - **Python version**: - **Operating system**: ### What is the current behavior? Sympy 1.9 has begun issuing deprecation warnings when accessing `expr_free_symbols`, which we do during visualisation. This breaks CI, and will be removed in a future version. ### Steps to reproduce the problem Run CI. ### What is the expected behavior? No deprecation warnings. ### Suggested solutions To get CI running again immediately, we can just pin Sympy to a lower version (see #7116). The full fix is to replace the usage with the new form (see #7117). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: compiler.has_argument doesn't work with clang-cl for warning flags **Describe the bug** The option `-Wimplicit-fallthrough=3` is unknown to clang-cl 12.0.1, and yet the `has_argument('-Wimplicit-fallthrough=3')` check passes, as can be seen [here](https://ci.appveyor.com/project/rizinorg/rizin/builds/43245228/job/x5rjqvh9bwub2a0k?fullLog=true#L62): ![fallthrough-check-passes](https://user-images.githubusercontent.com/12002672/163571080-31dcc693-817d-4dbc-a294-fb514e4ef81f.PNG) and [here](https://ci.appveyor.com/project/rizinorg/rizin/builds/43245228/job/x5rjqvh9bwub2a0k?fullLog=true#L34051): ![fallthrough-warning](https://user-images.githubusercontent.com/12002672/163571452-65bb676a-f323-4ebf-96c9-1f6385c8a60e.PNG) The relevant `meson-log.txt` lines appear to be: ``` Compiler stdout: Compiler stderr: warning: unknown warning option '-Wimplicit-fallthrough=3'; did you mean '-Wimplicit-fallthrough'? [-Wunknown-warning-option] 1 warning generated. Compiler for C supports arguments -Wimplicit-fallthrough=3: YES ``` so the issue appears to be the same as for #755 except that the compiler involved is now clang-cl. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? native build * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.) Windows Server 2019 * what Python version are you using e.g. 3.8.0 Python 3.8 * what `meson --version` 0.62.0 * what `ninja --version` if it's a Ninja build 1.10.2 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Legacy printing mode gives not-legacy result for array with negative value, value > 9 Numpy 1.13: ``` $ python -c 'import numpy; print(numpy.array([ -1. , 10]))' [ -1. 10.] ``` There is whitespace before the`-1`. Numpy 1.14: ``` $ python -c 'import numpy; print(numpy.array([ -1. , 10]))' [-1. 10.] $ python -c 'import numpy; numpy.set_printoptions(legacy="1.13"); print(numpy.array([ -1. , 10]))' [-1. 10.] ``` No whitespace before the `-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 conan-io/conan codebase. Here's the problem: Need to improve GCC OLD ABI COMPATIBILITY message A simple usability and quality of life improvement. It is better to copy and paste a command given to you, rather than manual editing of a file. [see patch](/Ignition/conan/commit/45a57617610abd3a5b4bfc76a5596468cbab23e0) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Regenerate Bigtable V2 protos (after the version landed in #1903). @sduskis reports: > There were some relatively minor changes in the v2 protos. Mostly the changes were in the comments. There were minor changes to rename fields from "name" to "parent" to better reflect the meaning of some of the proto elements. The latest version of the protos can be found in the official > google api repository at https://github.com/googleapis/googleapis/tree/master/google/bigtable. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: user specified properties and/or where to store metadata (author, description) With version 1 files I have two comments at the beginning of the docker-compose file: ``` # author: Anthon van der Neut <a.van.der.neut@ruamel.eu> # description: mongo container ``` that I then extract in [`dc2service`](https://pypi.python.org/pypi/ruamel.dc2service) using `ruamel.yaml` and include this information into service file for Systemd/Upstart . Of course I could follow the YACF principle (Yet Another Configuration File) so often seen in python projects, but with 1.6.0 and the version 2.0 file format I could easily do: ``` version: '2' user-data: author: Anthon van der Neut <a.van.der.neut@ruamel.eu> description: mongo container services: ....... ``` Unfortunately `docker-compose` complains about `user-data` being an unexpected additional property. For the toplevel mapping in version 2, I propose we get one or more keys reserved for user specific data, with the only requirement being that the corresponding value is a valid YAML construct i.e. the whole file stays parsable YAML. This could be one key, with the recommendation that its corresponding value is a mapping (for flexibility), or alternatively docker-compose could ignore all toplevel keys that have a certain prefix ("user-data-") Something similar is e.g. done in container file formats like TIFF to allow inclusion of additional (vendor specific) information. That key's name should of course be something that is certainly not going to be used in docker-compose, so "user-data", "non-dc-data". The docker-compose developers could then always cherry-pick information, that they consider useful for other projects (hopefully like my author/description) and decide them to be inserted under some other property, or maybe even warrant their own toplevel property. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: cu1 and rzz do not display properly in text drawer when wide gate underneath <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: 3.8 - **Operating system**: Ubuntu 18.04 ### What is the current behavior? cu1 and rzz display params multiple times in the text drawer when there is a wide gate underneath in the same layer. ### Steps to reproduce the problem ``` from qiskit import QuantumCircuit from numpy import pi qc = QuantumCircuit(5) qc.rzz(pi/2, 0, 1) qc.cu1(pi/2, 2, 3) qc.x(4, label='This is a really long X') print(qc) q_0: ─■───────────────────────── │zz(pi/2zz(pi/2zz(pi/2) q_1: ─■───────────────────────── q_2: ─────────■───────────────── │pi/pi/2 q_3: ─────────■───────────────── ┌─────────────────────────┐ q_4: ┤ This is a really long X ├ └─────────────────────────┘ ``` ### 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 conan-io/conan codebase. Here's the problem: [feature] Support for Xcode 13 Conan 1.40.1 does not support Xcode 13.0. To fix it, "13.0" must be added to the list of apple_clang versions. OS: macOS 11.6, Xcode: 13.0m, conan --version: 1.40.1, cc --version: "Apple clang version 13.0.0 (clang-1300.0.29.3)" - [x ] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Update dependencies with IPtyhon dropping gui_banner, this mean that IPython master require ipykernel > master (future 4.2 or alike) we need to update dependency number in setup.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 conan-io/conan codebase. Here's the problem: Fix symlinks not copied during export - [x] Refer to the issue that supports this Pull Request: fixes #3258 - [x] If the issue has missing info, explain the purpose/use case/pain/need that covers this Pull Request. - [x] I've read the [Contributing guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've followed the PEP8 style guides for Python code. - [ ] I've opened another PR in the Conan docs repo to the ``develop`` branch, documenting this one. Also adding a description of the changes in the ``changelog.rst`` file. https://github.com/conan-io/docs Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add CLI command for creating a project Would need to be in a new group and could look something like `prefect create project -n My_Project` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [Bug] conan export-pkg has seemingly all values from profile propagated with the exception of CONAN_CMAKE_GENERATOR When I want to export to local cache from a local source dir, I first run the setup commands and build my project ``` conan install . -if=build -pr=myprofile conan build . -sf=. -bf=build ``` then when I run *either* of these commands the wrong generator is used ``` conan export-pkg . user/channel -sf=. -bf=build -f conan export-pkg . user/channel -sf=. -bf=build -pr=myprofile -f ``` Looking at the `command` variable at line 195 in the cmake.py cmake helper class, the command given to cmake is exactly the same for both versions of `export-pkg` above. The cmake command value is how I expect it to be with the exception of that the generator given in the profile is not respected, but uses the default given in conan.conf. If no default in conan.conf is given it defaults back to MinGW Makefiles. A workaround is to set the correct generator as default in conan.conf. But this can only be temporary as projects sometimes includes C# so a mix of generators is to be used. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Loading FlaxHybridCLIP trained model ## Environment info <!-- You can run the command `transformers-cli env` and copy-and-paste its output below. Don't forget to fill out the missing fields in that output! --> - `transformers` version: 4.9.0.dev0 - Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29 - Python version: 3.8.10 - PyTorch version (GPU?): 1.9.0+cu102 (False) - Tensorflow version (GPU?): 2.5.0 (False) - Flax version (CPU?/GPU?/TPU?): 0.3.4 (tpu) - Jax version: 0.2.16 - JaxLib version: 0.1.68 - Using GPU in script?: N/A - Using distributed or parallel set-up in script?: N/A Models: - FlaxHybridCLIP ## Information I am not sure about how to load a trained FlaxHybridCLIP model from a folder. We trained using [this](https://github.com/huggingface/transformers/tree/master/examples/research_projects/jax-projects/hybrid_clip). I tried: `FlaxHybridCLIP.from_text_vision_pretrained(PATH_TRAINED_MODEL, PATH_TRAINED_MODEL)`, but I got the following error: ```Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/vinid/transformers/examples/research_projects/jax-projects/hybrid_clip/modeling_hybrid_clip.py", line 333, in from_text_vision_pretrained text_config = AutoConfig.from_pretrained(text_model_name_or_path) File "/home/raphaelp/transformers/src/transformers/models/auto/configuration_auto.py", line 452, in from_pretrained config_class = CONFIG_MAPPING[config_dict["model_type"]] KeyError: 'hybrid-clip' ``` The folder (PATH_TRAINED_MODEL) contains the two following files: - `config.json` - `flax_model.msgpack` Thank you :) :) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Pulse naming issues <!-- ⚠ 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. --> We have several naming issues in Pulse-frontend classes/modules/methods: - [ ] Inconsistency in Channel, PulseCommand, Schedule: PulseCommand -> Command? - [ ] common module -> remove and move contents to top-level? - [ ] Inconsistency in DriveInstruction applied to OutputChannel: OutputInstruction or rename OutputChannel? Rename both (to PulseInstruction and PulseChannel)? - [ ] channels module have more than channels, it's more like device module: pulse/channels -> pulse/device? (I guess we have more) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: lax.conv does not support float64 The lax package currently does not support float64 convolutions. This appears to be an explicit constraint and not a bug. https://github.com/google/jax/blob/master/jax/lax/lax.py#L1828 Feature request: allow convolutions with float64 -> float64 in full precision. TF supports this type of convolution, so I don't think there's anything inherent preventing this, but maybe it's something subtle. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Incorrect cmakedefine implementation **Describe the bug** the current cmakedefine implementation assumes that the definition name and value have to be the same e.g. `#cmakedefine VAR @VAR@` **To Reproduce** simply have any cmakedefine usage where the name and value mismatch e.g. `#cmakedefine const @HAVE_CONST@` (taken from SDL2 https://github.com/libsdl-org/SDL/blob/9d1dbd2ad86805c316cf4f2ee8ab2b361be18f4d/include/SDL_config.h.cmake#L34-L37) **Expected behavior** the value should be any definition value accepted by C This issue also affects muon, which is stricter about this and errors out. Muon issue report: https://todo.sr.ht/~lattis/muon/77 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Pubsub 0.35.3 stop consuming messages - ConsumeBidirectionalStream exited RPC After an ~hour, the rpc connection is closed: ``` [2018-06-06 11:02:36,258 - INFO - Thread-14 - streaming_pull_manager] Observed recoverable stream error 504 Deadline Exceeded [2018-06-06 11:02:36,259 - INFO - Thread-ConsumeBidirectionalStream - streaming_pull_manager] Observed recoverable stream error 504 Deadline Exceeded [2018-06-06 11:02:36,260 - INFO - Thread-14 - streaming_pull_manager] Observed recoverable stream error 504 Deadline Exceeded [2018-06-06 11:02:36,260 - **ERROR - Thread-ConsumeBidirectionalStream - bidi] The bidirectional RPC unexpectedly exited. <google.api_core.grpc_helpers._StreamingResponseIterator object at 0x7fb758946090>** ``` I need to cancel and start the subscriber again. OS type and version - "Debian GNU/Linux 8 (jessie)" Version - Python 2.7.9 4. pip freeze | grep pubsub google-cloud-pubsub==0.35.3 Code example: ``` def subscriber_handler(message): path = message.attributes.get("type") self.handler_function(path=path, body=message.data) message.ack() self.listening_subscriber = self.subscriber.subscribe(subscription_path, callback=subscriber_handler, flow_control=flow_control) ``` All the other info is the same as in https://github.com/GoogleCloudPlatform/google-cloud-python/issues/5325. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: MaskedArray with nested dtype and object elements cause AttributeError on access When I create a `MaskedArray` using a nested dtype which contains an `object` at the innermost level, trying to access it causes an _AttributeError: 'str' object has no attribute 'ndim'_. If I use `int` instead of `object`, the element access works fine. The issue seems to be caused by the assumption that `_fill_value` is of a numpy type and has an `ndim` attribute. This assumption is true for `numpy.int32` which would be used if `int` was specified inside the dtype. But for `object`, the `_fill_value` will be a just python `str` _'?'_, which has no attribute `ndim`. I propose to change the code line in question to ```python if hasattr(dout._fill_value, 'ndim') and dout._fill_value.ndim > 0: ``` ### Reproducing code example: ```python import numpy as np my_dtype = np.dtype([('b', [('c', object)], (1,))]) a = np.ma.masked_all((1,), my_dtype) print(a['b']['c']) ``` ### Error message: ``` Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Python37\lib\site-packages\numpy\ma\core.py", line 3276, in __getitem__ if dout._fill_value.ndim > 0: AttributeError: 'str' object has no attribute 'ndim' ``` ### Numpy/Python version information: 1.18.1 3.7.4 (tags/v3.7.4:e09359112e, Jul 8 2019, 20:34:20) [MSC v.1916 64 bit (AMD64)] Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: mesonintrospect should give us access to project data I need to access the version/project_ name properties from a script and it appears that mesonintrospect doesn't let me get these. Is this supposed to be possible? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: supporting t5 for question answering # 🚀 Feature request Hi, this would be great and appreciated to support t5 model for run_qa.py script, currently this does not support it. ## Motivation T5 is the state of the art model, for which there are a lot of motivation for people in NLP community to use this model, specially it can handle multiple datasets. ## Your contribution <!-- Is there any way that you could help, e.g. by submitting a PR? Make sure to read the CONTRIBUTING.MD readme: https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md --> Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: np.unicode aliased to np.compat.long It appears a bug was introduced in numpy when deprecating type aliases in #18230. The bug caused `np.unicode` to be aliased to `np.compat.long` which is an alias for `int`. This was quick to track down because of a typo in the deprecation message (unciode). https://github.com/numpy/numpy/blob/v1.20.0/numpy/__init__.py#L209-L212 ### Reproducing code example: ```python import numpy as np np.unicode("hello") ``` ### Error message: ``` <stdin>:1: DeprecationWarning: `np.unciode` is a deprecated alias for `np.compat.unciode`. To silence this warning, use `np.compat.unciode` by itself. In the likely event your code does not need to work on Python 2 you can use the builtin `str` for which `np.compat.unciode` is itself an alias. Doing this will not modify any behaviour and is safe. If you specifically wanted the numpy scalar type, use `np.str_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations Traceback (most recent call last): File "<stdin>", line 1, in <module> ValueError: invalid literal for int() with base 10: 'hello' ``` ### NumPy/Python version information: ``` >>> import sys, numpy; print(numpy.__version__, sys.version) 1.20.0 3.8.2 (default, Nov 4 2020, 21:23:28) [Clang 12.0.0 (clang-1200.0.32.28)] ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: File magic (%%file) does not work with paths beginning with tilde (e.g., ~/anaconda/stuff.txt) Found this quirk teaching a Software Carpentry class at LBL, wanted to jot down before I forgot it. I don't know if it's been resolved yet; this behavior occurred with IPython 0.13.1 in the notebook interface. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Improve conan_build_info command We want to leverage from the lock files feature and also from https://github.com/conan-io/conan/issues/5734 to generate a better build-info for Artifactory builds. The proposed commands are: - To incorporate to the `artifacts.properties` the build name and number: `conan_build_info start <build_name> <build_number>` - To remove from the `artifacts.properties` the build name and number: `conan_build_info stop` - To generate a build info json from a lockfile (and the local cache with #5734): `conan_build_info create “bili.json” --lockfile “conan.lock”` - To update a build info json with another one (typically different slave in CI): `conan_build_info update “bili2.json” “bili1.json”` - To publish the build info to Artifactory. The authentication process should be similar to the possibilities provided by the artifactory rest api: `conan_build_info publish “bili2.json” --url http://artifactory_url --user --password --apikey` **NOTE**: it is important to check if we can introduce the subcommands with a fallback to the old command to not break the previous usage. **NOTE2**: Test is the dependencies of a module need or not to push the build number and id as properties to be later promoted. Can you help me debug this systematically and explain your reasoning?


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

[User]
I'm having an issue with the apache/airflow codebase. Here's the problem: Unable to add a new user when logged using LDAP auth ### Discussed in https://github.com/apache/airflow/discussions/18290
 Originally posted by **pawsok** September 16, 2021 ### Apache Airflow version 2.1.4 (latest released) ### Operating System Amazon Linux AMI 2018.03 ### Versions of Apache Airflow Providers _No response_ ### Deployment Other Docker-based deployment ### Deployment details - AWS ECS EC2 mode - RDS PostgreSQL for DB - LDAP authentication enabled ### What happened We upgraded Airflow from 2.0.1 to 2.1.3 and now when i log into Airflow (Admin role) using LDAP authentication and go to Security --> List Users i cannot see **add button** ("plus"). **Airflow 2.0.1** (our current version): ![image](https://user-images.githubusercontent.com/90831710/133586254-24e22cd6-7e02-4800-b90f-d6f575ba2826.png) **Airflow 2.1.3:** ![image](https://user-images.githubusercontent.com/90831710/133586024-48952298-a906-4189-abe1-bd88d96518bc.png) ### What you expected to happen Option to add a new user (using LDAP auth). ### How to reproduce 1. Upgrade to Airflow 2.1.3 2. Log in to Airflow as LDAP user type 3. Go to Security --> List Users ### Anything else _No response_ ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add support for logging in gcloud.storage Described here: https://developers.google.com/storage/docs/accesslogs Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the explosion/spaCy codebase. Here's the problem: Pretraining: batch size & document length ## Feature description I was just testing the `pretrain` command and ran out of memory ^^ ! Looking at the code, it seems that the `batch_size` is fixed to 3000. I also noticed that document with length greater than 500 token are pruned by default. I guess this are default parameters for a corpus of sentence / small text... But maybe we should let the user set these parameters ? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: Valid `google-resumable-media` versions conflict with Cloud Storage It looks like #9572 introduced a dependency conflict for `google-resumable-media` between the latest `google-cloud-storage` and `google-cloud-bigquery` releases. #### Environment details 1. Python 3.7 #### Steps to reproduce 1. `pip install google-cloud-storage` (latest release is `1.23.0`) 2.`pip install google-cloud-bigquery` (latest release is `1.21.0`) 3. Try to import both libraries in the same python #### Issue Today, `google-cloud-storage 1.23.0` was released. It depends on `google-resumable-media >= 0.5.0, < 0.6dev`. The current `google-cloud-bigquery` version, depends on `google-resumable-media >= 0.3.1, != 0.4.0, < 0.5.0dev` Therefore, the `setup.py` files for these two libraries will 2nd level dependency conflict when you attempt to `pip install`. This can be fixed by releasing a new `google-cloud-bigquery` version. (to pick up the changes in #9572) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Consider removing hard dependency on PyOpenSSL Authenticating service accounts with a JSON private key should not require installing PyOpenSSL. More specifically, when [`isinstance(credentials, service_account._ServiceAccountCredentials)`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/f577b3079333273f0be3393de4f3767853f95add/gcloud/storage/connection.py#L65) is `True`, PyOpenSSL is not required. Given that PyOpenSSL requires OpenSSL, minimizing the dependency is beneficial. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Conan 2.0 CLI: List command Develop the new `list` command for the Conan 2.0 CLI Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Minimum supported Python 3 version bump At some point we should update the minimum version of Python 3. Here's what the distros currently have: - Debian stable, 3.7 - Ubuntu Xenial, 3.5 - Ubuntu Bionic, 3.6 - RHEL 8, 3.6??? - SLES 15, I could not find out by googling Xenial is _probably_ old enough that we don't have to keep supporting it. 3.6 seems to be widely available, but is that so. Are there platforms where we'd need to support 3.5? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: contains() no longer works with lists of file objects **Describe the bug** With 0.59.0, `[].contains()` no longer works as expected with file objects **To Reproduce** foo.c: ``` ``` meson.build: ``` project('contains-bug', 'c', meson_version: '>= 0.59.0', ) l = [files('foo.c')] message(l.contains(files('foo.c'))) ``` **Expected behavior** This should print `Message: True` **system parameters** * plain native build * Fedora 33 * python 3.9.2 * meson 0.59.0 * ninja 1.10.2 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Windows Integrity Builds are Failing https://github.com/jupyterlab/jupyterlab/pull/8297 I enabled our Examples Checks to actually run but didn't notice that it broke our Windows Integrity builds. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Big query TIMESTAMP field off by factor of 1000 Using master branch. In BigQuery TIMESTAMP fields are off by a factor of 1000 when using fetch_data. See my in-line comment - https://github.com/GoogleCloudPlatform/gcloud-python/commit/41e64395661a31af8352fb2358e5c95ff5437830#diff-c56e349a3e511bfabb4e8dfcfe686bc8R739 Add async methods Is there a way to run multiple requests in parallel? It would be really nice to be able to execute requests asynchronously, e.g. ``` future = Query('MyKind').fetch_async() result = future.get_result() ``` [NDB](https://developers.google.com/appengine/docs/python/ndb/async) has a great support for async operations using an event loop. Is it something you guys might consider for future versions of the client? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Old version of MathJax imported with install_mathjax() If you run ``` from IPython.external.mathjax import install_mathjax install_mathjax() ``` then MathJax 2.4 is downloaded and installed. However, the current version of MathJax is 2.5. Line 138 of mathjax.py states: ``` def install_mathjax(tag='2.4.0', dest=default_dest, replace=False, file=None, extractor=extract_tar): ``` I suggest this should be updated to 2.5.0 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Document "text" vs. "bytes" values for Entities Docs need to explain clearly how users can ensure that the values they set onto entities get mapped as they expect: "text" values should be mapped to/from 'string_value' entries on the protobufs, and "bytes" values should be mapped to/from 'blob_value' entries. We are to have to educate folks that the native 'str' is "bytes" on Python2, but "text" on Python3, and mandate that they be explicit if they want to control how such values get stored. Document "text" vs. "bytes" values for Entities Docs need to explain clearly how users can ensure that the values they set onto entities get mapped as they expect: "text" values should be mapped to/from 'string_value' entries on the protobufs, and "bytes" values should be mapped to/from 'blob_value' entries. We are to have to educate folks that the native 'str' is "bytes" on Python2, but "text" on Python3, and mandate that they be explicit if they want to control how such values get stored. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: marginal_distribution raises for NumPy array indices ### Environment - **Qiskit Terra version**: 0.21 - **Python version**: 3.10 - **Operating system**: osx ### What is happening? `marginal_distribution` raises error when passes a NumPy array of indices: ```python marginal_distribution(counts, np.asarray([0, 2])) ``` --> 225 if indices is not None and (not indices or not set(indices).issubset(range(num_clbits))): 226 raise QiskitError(f"indices must be in range [0, {num_clbits - 1}].") 228 if isinstance(counts, Counts): ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() ### How can we reproduce the issue? Try above ### What should happen? It should work for both lists and arrays. ### Any suggestions? _No response_ Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Inconsistency in drawing classical control in text drawer when cregbundle=False <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.18.0.dev0+b026000 - **Python version**: 3.7 - **Operating system**: ### What is the current behavior? The classical control is currently drawn in text drawer as a box with control value inside it when cregbundle=False. This is inconsistent with the other drawers in which the same is drawn as bullets. ### Steps to reproduce the problem We have the following for example: ``` python from qiskit import * q = QuantumRegister(2,'q') c = ClassicalRegister(2,'c') circ = QuantumCircuit(q,c) circ.h(0).c_if(c,2) ``` Text drawer draws this circuit as ![text_control_error](https://user-images.githubusercontent.com/51048173/115784066-43777680-a3db-11eb-87fa-478421615123.png) while the latex drawer and mpl draws the same as ![latex_control_correct](https://user-images.githubusercontent.com/51048173/115784061-42464980-a3db-11eb-843a-ed092825569a.png) ![mpl_control_correct](https://user-images.githubusercontent.com/51048173/115787924-8c7df980-a3e0-11eb-890c-91a83d48077c.png) ### What is the expected behavior? For consistency, the classical control in text drawers should be drawn using open and closed bullets. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Typo in deberta_v2/__init__.py https://github.com/huggingface/transformers/blob/c503a1c15ec1b11e69a3eaaf06edfa87c05a2849/src/transformers/models/deberta_v2/__init__.py#L31 Should be '' DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST ''. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [python-requires] re-use scm variable for building from sources - Conan version: 1.7.1 - I'm using python_requires to re-use scm variable. - The library builds fine, but the final package which consumes the library does not. - This is because the scm variable is not expanded/processed while saving the conanfile for upload in local cache conanfile for MyBase: ``` scm = { "type" : "git", "url" : "auto", "revision" : "auto" } ``` conanfile for consumer library: ``` from conans import ConanFile, CMake, tools, python_requires base = python_requires("MyBase/1.7@demo/stable") class MyPkgConanFile(base.MyBase): scm = base.scm ``` The same conanfile is saved in local cache, as opposed to the expanded values of scm variable. - [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 docker/compose codebase. Here's the problem: run not looking at depends_on I think that `docker-compose run <service>` should bring up the dependencies of that service, the same as `docker-compose up <service>` would. There is already the `--no-deps` flag for run, which implies that the default behavior is to bring up dependencies. If this is the intended behavior, then I am not seeing it. If I have a `docker-compose.yml` file like this: ``` yaml version: '2' services: web: image: postgres command: sh -c 'psql -h db -p 5432 -U postgres -d postgres -c "\list"' entrypoint: /tmp/entrypoint.sh volumes: - ./entrypoint.sh:/tmp/entrypoint.sh depends_on: - db db: image: postgres ``` Then running `docker-compose run web` won't bring up the `db` container. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Opaque error message if npm is not installed In my deployment of jupyterlab+jupyterhub, I got this error message when I started to install extensions: ``` > '' pack @jupyterlab/geojson-extension expected str, bytes or os.PathLike object, not NoneType ``` This was a combination of two things: 1. `conda install jupyterlab` didn't install npm. Is this our intended behavior? 2. The error handling for a missing npm when a user runs a lab command requiring it is a bit opaque. Even if we don't require npm in the conda package, we should clean up that error message with something like: "Building JupyterLab or installing JupyterLab extensions requires installing npm. If you are using conda, that can be done with `conda install nodejs`" Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Error converting QASM with a phase gate on it <!-- ⚠ 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**: 0.15.2 - **Python version**: 3.7.8 - **Operating system**: Linux 4.15.0-117-generic (IQX Quantum Lab) ### What is the current behavior? When converting a QASM circuit using `QuantumCircuit.from_qasm_str`, if the QASM contains a [phase gate](https://github.com/Qiskit/qiskit-terra/blob/master/qiskit/qasm/libs/qelib1.inc#L24) it fails during the ast to dag conversion with the next error: ``` AttributeError: 'UniversalUnitary' object has no attribute 'name' ``` ### Steps to reproduce the problem Run the next example: ``` from qiskit import QuantumCircuit qasm = """ OPENQASM 2.0; include "qelib1.inc"; qreg q[1]; p(0) q[0]; """ quantum_circuit = QuantumCircuit.from_qasm_str(qasm) ``` ### What is the expected behavior? To get a QuantumCircuit equal to the next one: ``` from qiskit import QuantumCircuit circuit = QuantumCircuit(1) circuit.p(0, 0) ``` ### Suggested solutions n/a Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Synthesis translation_method doesn't always respect basis_set <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: Master - **Python version**: 3.8 - **Operating system**: Any ### What is the current behavior? Transpiling a circuit with an XYX basis and setting the basis translation method to synthesis doesn't actually change the basis. ### Steps to reproduce the problem ``` import logging from qiskit import QuantumCircuit from qiskit.compiler import transpile from qiskit.compiler.transpile import CouplingMap logging.basicConfig(level='DEBUG') edge_list = [[0, 1], [0,2], [1,2]] cmap = CouplingMap(edge_list) qc = QuantumCircuit(3) qc.h(0) qc.h(1) qc.h(2) print(transpile(qc, coupling_map=cmap, basis_gates=['id', 'ry', 'rx', 'cx'], translation_method='synthesis')) ``` will return ``` ┌───┐ q_0 -> 0 ┤ H ├─────── ├───┤ q_1 -> 1 ┤ H ├─────── ├───┤ q_2 -> 2 ┤ H ├─────── └───┘ ``` ### What is the expected behavior? The hadamard gates get translated to Rx(pi) Ry(-pi/2) ### 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 Lightning-AI/lightning codebase. Here's the problem: Partially missing training_step outputs in training_epoch_end **Learning Model:** the model consists of two branches: **teacher and student**. Two losses have been used to train two branches of the learning model using two optimizers. **ISSUE:** In the **`training_step`**, I produced two set of metrics outputs for teacher (_optimizer_idx=0_) and student (_optimizer_idx=1_) branches (teacher: `{loss,log:{acc, f1}}` and student: `{loss,log:{acc,f1,precision}}` ). But in the **`training_epoch_end`**, I only got the combined outputs for only student outputs (_optimizer_idx=1_). All the teacher outputs (_optimizer_idx=0_) are missing. I also see the training loop of PL and didn't observe any issue when the training loop tries to combine the **`training_step`** outputs. I am not sure what am I missing? - Version: 0.8.2.dev0 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Sluggish response and unexplained hangs in QTConsole Stepes to reproduce: 1) plot a graphic, the plot appears and you get the prompt back immediately 3) quickly enter 1+<Enter> 4) there is a delay of 2-3 seconds in which everything stops, then you get the result. This didn't happen in (much?) older versions. I use `ipython qtconsole --pylab=inline` with git master 39ecc74. continues QTConsole regressions from #6726 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Implement suite-wide agent unit tests Add unit tests for all currently implemented agents and then add back to code cov Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Wrong linking order in module `pkgconfig` With the way `_process_libs` first appends to the `priv/pub_libs` and then returns `processed_libs` (which the calling code then also appends to those same lists), you effectively end up in a scenario where the library itself will typically be specified last, after all of its dependencies. Example: ``` Name: libplacebo Description: Reusable library for GPU-accelerated video/image rendering Version: 0.5.0 Requires: lcms2 >= 2.6, vulkan >= 1.0.42 Libs: -pthread -lm -lglslang -lHLSL -lOGLCompiler -lOSDependent -lSPIRV -lSPVRemapper -L${libdir} -lplacebo Cflags: -I${includedir} -pthread ``` This is the wrong way around, and results in a linking failure. The library must be specified first, *followed* by its dependencies. The easiest solution would be most likely to make `add_pub_libs`/`add_priv_libs` prepend instead of appending the result of `_process_libs`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Don't call ``package()`` twice. (new issue as requested by https://github.com/conan-io/conan/issues/4438#issuecomment-461341370) https://docs.conan.io/en/latest/reference/build_helpers/cmake.html#example shows the current best practice when using `cmake.install()` within the `package()` method is desired. This works quite nicely for in-source builds (as soon as #4438 is fixed). However, when following also cmake's best practice to build code out of source, results are sub optimal at the moment. In particular, using conan's `no_copy_source = True` recipe attribute causes that the `package()` method gets called twice which also leads to duplicated calls to `cmake.configure()` and `cmake.install()`. Any good approach to fix this would be highly appreciated. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: `run_command` target clash when invoked from subproject Repro steps: 1. Create some script file in project root. E.g. `echo.sh`. 2. Create a subproject. 3. Put the following line in both root and subproject's `meson.build`: `run_command(meson.source_root()/'echo.sh', '123')` 4. Invoke project setup with ninja backend (`meson setup _build`) Result: ``` Multiple producers for Ninja target "../proj/echo.sh". Please rename your targets. ``` The error is also triggered when the command is present in two subprojects (i.e. not present in root). It works properly when the command is invoked form the same `meson.build`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: vault: Allow custom CA bundle FR: Allow setting a custom CA bundle for the `vault` integration, similar to the `http_check` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Apply migrations in the proper order Currently, migrations are being applied in reverse order. They should be applied from the lowest version to the higher one, so each migration is applied on top of all the previous ones (probably related with this bug: https://github.com/conan-io/conan/issues/4866) ```python if old_version < Version("0.25"): ... if old_version < Version("1.0"): _migrate_lock_files(self.cache, self.out) if old_version < Version("1.12.0"): migrate_plugins_to_hooks(self.cache) if old_version < Version("1.13.0"): # MIGRATE LOCAL CACHE TO GENERATE MISSING METADATA.json _migrate_create_metadata(self.cache, self.out) if old_version < Version("1.14.0"): migrate_config_install(self.cache) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Realtime ECS logging **Description** Currently when `ECSOperator` is run, the logs of the ECS task are fetched only when the task is done. That's not so convenient, especially when the task takes some good amount of time. In order to understand what's happening with the task, I need to go to Cloudwatch and search for the tasks logs. It would be good to have some parallel process that could fetch ECS task logs from Cloudwatch and make them visible in a realtime. **Are you willing to submit a PR?** I can try, but I need to be guided. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Submodules updated before revision checkout Conan version: 1.6.1 Platform/Settings: All Description: When specifying submodules to be updated after cloning from git with the `scm` attribute, the submodules are pulled from the state of the repo's current HEAD rather than the referenced revision. - [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 explosion/spaCy codebase. Here's the problem: docs: Added missing cosine declaration - Added missing cosine declaration to code listing that already included imports for `dot` and `norm` function it uses. Signed-off-by: mr.Shu mr@shu.io --- @honnibal Thanks a ton for a great library! While reading the index document I kind of skipped the previous declarations of `cosine`. It seemed strange not to find them here since the imports were already in place. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ArchLinux meson cannot detect Qt Tools with pkg-config. **Describe the bug** ArchLinux meson cannot detect Qt Tools with pkg-config. **To Reproduce** Run ./run_project_tests.py --only frameworks/4 on ArchLinux **Expected behavior** Qt 6 Tools should be detectable. **system parameters** *Native *ArchLinux * Python 3.10.5 * master * ninja 1.11.0 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Allow passing in a Generator object for seed in QuantumVolume circuit <!-- ⚠ 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? Allow `QuantumVolume` to be called with a generator object rather than only using a numerical seed. This is important for sharing RNG objects in applications using these circuits (such as in Ignis), and also internally in the QV circuit we can pass the RNG object to the `random_unitary` function which already accepts a generator for the seed kwarg. Example: to generate a list of quantum volume circuits from a single seed value: ```python seed = 101 rng = np.random.default_rng(seed) circs = [QuantumVolume(10, 10, seed=rng) for _ in range(20)] ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: 0.50.0 regression: Duplicated messages about "Appending XXXFLAGS from environment" ``` Appending CFLAGS from environment: '-O2 -g -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fexceptions -fstack-protector-strong -grecord-gcc-switches -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection' Appending LDFLAGS from environment: '-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld' Appending CFLAGS from environment: '-O2 -g -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fexceptions -fstack-protector-strong -grecord-gcc-switches -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection' Appending LDFLAGS from environment: '-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld' Native C compiler: cc (gcc 9.0.1 "cc (GCC) 9.0.1 20190227 (Red Hat 9.0.1-0.8)") Appending LDFLAGS from environment: '-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld' Appending LDFLAGS from environment: '-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld' Native Vala compiler: valac (valac 0.43.92) ``` This has happened to tracker. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Terminal token authentication broken ## Description When configuring jupyter server with token authentication, the terminal fails to connect. It appears that the latest service/terminal code ignores the `token` field passed in `ServerConnection.ISettings` when establishing the websocket connection. The url should look like: `wss://__my_hostname__/notebook/terminals/websocket/1?token=__my_token__` but is missing the `?token=__my_token__` part. I believe the faulty code is in [service/terminal/default.ts](https://github.com/jupyterlab/jupyterlab/blob/2bade97edadea865b294eb49c8d693d4261ca404/packages/services/src/terminal/default.ts#L261). The url is constructed without the token parameter (if specified), right before establishing the websocket connection. The package `@jupyterlab/services@4.2.0` used to work and properly form the url with the token in the query parameters, but I believe the latest refactoring from `TerminalSession` to `TerminalManager` broke it. ## Reproduce 1. Configure jupyter server to use token authentication 2. Open new terminal using `@jupyterlab/services@5.2.4` and `@jupyterlab/services@2.2.3`. An error appears in the console: ``` WebSocket connection to 'wss://__hostname__/notebook/terminals/websocket/1' failed: HTTP Authentication failed; no valid credentials available ``` Notice the token missing in the url parameters. ## Expected behavior Terminal connects to jupyter server and a prompt appears. ## Context - Operating System and version: Windows 10 - Browser and version: MS Edge 85.0.564.51 (Chromium version) - JupyterLab version: @jupyterlab/services@5.2.4 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Improve `CondaHTTPError` to include the response body ### Checklist - [X] I added a descriptive title - [X] I searched for other feature requests and couldn't find a duplicate (including also the ``type-feature`` tag) - [X] I confirmed that it's not related to another project (see the above section) ### What is the idea? When HTTP errors occur `conda` intercepts a number of cases with a hardcoded error message. We'd like to augment/replace these hardcoded messages with messages provided in the response so we can provide more targeted information. ### Why is this needed Provide more descriptive messaging for HTTP errors (e.g. 403 and 429) to explain why the user is experiencing those errors. ### What should happen? The server-provided message should be passed through as-is to the user. Here are some sample response bodies we'd want to provide: #### 403 ```json { "reason": "NOT AUTHORIZED", "message": "Your IP address has been blocked due to..." } ``` #### 429 ```json { "reason": "TOO MANY REQUESTS", "message": "Your IP address has been throttled due to..." } ``` ### Additional Context _No response_ Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Add .definitions dict to MSBuild Helper like CMake helper has I came across a situation today where I wanted to pass a preprocessor definition to `MSBuild` helper but it is currently not supported. It is only supported to set msbuild `properties`. I understand why this functionality was not included by the `MSBuild` helper initially, but I believe that it's reasonable to add it now, and have the suggested implementation on how to do it. I will probably create a PR for this feature at some point if it's "acceptable" but nobody gets around to it before I do. I am fairly certain that the reason it's not implemented in the helper is that it's not natively supported by MSBuild. MSBuild CLI will not accept arbitrary preprocessor definitions and pass them to the compiler for you. The only "supported" solution is to use the `ForceImportBeforeCppTargets` feature, combined with a `.props` file, and do something like: `<PreprocessorDefinitions>_NEW_DEFINE;%(PreprocessorDefinitions)</PreprocessorDefinitions>` https://docs.microsoft.com/en-us/cpp/ide/working-with-project-properties?view=vs-2017 Conan is in a unique position to implement the requested because it already makes use of `ForceImportBeforeCppTargets`. So, this request would be to add the `definitions` member as a dict to the `MSBuild` helper just like CMakes, and implement it by simply injecting new preprocessor definition alongside the other variables that get injected. - [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 dagster-io/dagster codebase. Here's the problem: throw useful error when alias is invoked on solid output Currently If someone accidentally does ``` @pipeline def example(): my_solid().alias('rename_my_solid') # should be my_solid.alias('rename_my_solid')() ``` They get an error message that is pretty difficult to decipher. Since we control the object returned by solid invocation in composition functions, we could override `alias` and throw a good error message to help people find the issue. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: serve_logs.py should respect the logging config's task handler's base_log_folder value ### Apache Airflow version 2.2.5 ### What happened in a worker container, a flask app is spun up to serve task log files that is read by the webserver and rendered to the user in the UI. The log files cannot be read if you overwrite the task handler's base_log_folder value. (404 error) ie. in the airflow.cfg, the base_log_folder = `foo/bar/logs`, and the task handler uses `{base_log_folder}/dags` ### What you think should happen instead in https://github.com/apache/airflow/blob/main/airflow/utils/serve_logs.py#L33, it should read the logging config's task handler log location. ### How to reproduce use a custom logging config, override the task's base log folder. Run a dag and try to view logs in the ui, you will get a 404 ``` LOGGING_CONFIG["handlers"].update( { "task": { "class": "airflow.utils.log.file_task_handler.FileTaskHandler", "formatter": "airflow", "base_log_folder": f"{BASE_LOG_FOLDER}/dags", "filename_template": FILENAME_TEMPLATE, "filters": ["mask_secrets"], }, } ``` ### Operating System ubuntu ### Versions of Apache Airflow Providers _No response_ ### Deployment Virtualenv installation ### Deployment details _No response_ ### Anything else _No response_ ### Are you willing to submit PR? - [X] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Reload button on the clusters tab is not working I had a gazillion IPython profiles in my profile folder from a theme experiment that were all showing up on the `Clusters` tab. While the IPython server was running, I deleted all these profiles. When I now click on the reload icon, nothing happens. A web-browser reload also keeps showing the now non-existing profiles. Version: 2.2 Edit: After restarting the notebook server, the list of non-existing profiles was purged and only the existing profiles are shown. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Running summarization with default model fails. 4.27.0.dev0 ### System Info When runining examples/tensorflow/summarization/run_summarization.py as given in README, python run_summarization.py \ --model_name_or_path facebook/bart-base \ --dataset_name cnn_dailymail \ --dataset_config "3.0.0" \ --output_dir /tmp/tst-summarization \ --per_device_train_batch_size 8 \ --per_device_eval_batch_size 16 \ --num_train_epochs 3 \ --do_train \ --do_eval it fails as below. ![image](https://user-images.githubusercontent.com/14943401/222041742-82660acf-6fa4-40a4-af92-38a81044ddf0.png) ### Who can help? _No response_ ### Information - [X] The official example scripts - [ ] My own modified scripts ### Tasks - [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction 1. Copy script in README to a file 2. Run the script ### Expected behavior Should run without issues as it is example given in README Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 Issue] gcloud.pubsub.message.Message isn't documented! Internal Username: ddopson@google Page Name: pubsub-subscription Release: 0.8.0 The documentation for the `pull` method says that it returns instances of `gcloud.pubsub.message.Message`. That type doesn't link anywhere and I can't find any documentation of the `Message` type. This makes it really hard to use the API. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Regression: link_whole does not propagate dependencies Bisected to commit c94c492089e7fecb56b7cc11ea76712a770f1e34 / #10699, /cc @dcbaker As an example test case, see https://github.com/linuxmint/xreader/ which builds a static library `builddir/cut-n-paste/totem-screensaver/libtotemscrsaver.a` that is linked into `shell/libshell.a` which is in turn linked into `shell/xreader`. libtotemscrsaver has a `dependency('x11')` and uses its symbols; no other code uses it directly. With the latest release of Meson, everything works. With the release candidate, a number of libraries are no longer linked to, such as /usr/lib/libX11.so. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Notebooks with filenames with accented characters ("ã", "í", etc.) don't open in 2.0 I'm using Python 2.7, Conda 3.4.0 and IPython 2.0 (on windows, with chrome). To reproduce the problem, create a notebook, change the name to include an accented character, close the notebook and try to reopen it. This worked before 2.0. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: zypper package tool is not detected correctly In the latest versions of opensuse. The newest versions of opensuse now report their distro.id() as "opensuse-leap", which breaks conan's detection of zypper. This patch fixes it for opensuse leap, opensuse tumbleweed and SLES (Issue opened to associate to PR #3368) Can you help me debug this systematically and explain your reasoning?