[System] You are an expert software 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: Support WHERE IN or WHERE ANY clause in DB-API BigQuery DB-API throws the following error when I pass parameters to the Cursor.execute() for WHERE IN or WHERE ANY clause. Any idea if it will be supported? ``` File "/home/haibin/.local/share/virtualenvs/python-6nCS1ipk/lib/python3.6/site-packages/google/cloud/bigquery/dbapi/cursor.py", line 159, in execute query_parameters = _helpers.to_query_parameters(parameters) File "/home/haibin/.local/share/virtualenvs/python-6nCS1ipk/lib/python3.6/site-packages/google/cloud/bigquery/dbapi/_helpers.py", line 117, in to_query_parameters return to_query_parameters_list(parameters) File "/home/haibin/.local/share/virtualenvs/python-6nCS1ipk/lib/python3.6/site-packages/google/cloud/bigquery/dbapi/_helpers.py", line 84, in to_query_parameters_list return [scalar_to_query_parameter(value) for value in parameters] File "/home/haibin/.local/share/virtualenvs/python-6nCS1ipk/lib/python3.6/site-packages/google/cloud/bigquery/dbapi/_helpers.py", line 84, in <listcomp> return [scalar_to_query_parameter(value) for value in parameters] File "/home/haibin/.local/share/virtualenvs/python-6nCS1ipk/lib/python3.6/site-packages/google/cloud/bigquery/dbapi/_helpers.py", line 69, in scalar_to_query_parameter name, value google.cloud.bigquery.dbapi.exceptions.ProgrammingError: encountered parameter None with value ['Apple.com', 'Coles'] of unexpected type ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Conda remove doesn't update environments.txt conda 4.4.6 I'm using `conda remove -p (envPath) --all -y`. The folder gets deleted but the environments.txt file is not updated. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Example tester not catching errors **Describe the bug** The example tester isn't catching the console errors in the app example, which is missing a required extension. **To Reproduce** Steps to reproduce the behavior: 1. Go to 'examples/app' 2. Run `jlpm build` 3. Run `python main.py` 4. Note the console errors **Expected behavior** Console errors are caught in CI, example app works. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Pass experiment tags to MLFlowLogger **Is your feature request related to a problem? Please describe.** When using MLFlowLogger, I'm unable to easily set experiment tags, like username or run name. **Describe the solution you'd like** Add parameter `tags=None` which is passed to `MLFlowLogger`. Tags will be passed to `create_run` method **Describe alternatives you've considered** Manually hack logger, get experiment from it and set tag there If you don't see any drawbacks, I can make a PR Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the explosion/spaCy codebase. Here's the problem: 💫 Raise error if user is running narrow unicode build ## Feature description Because v2.1 includes various changes to the regular expressions used in the tokenizer (including replacing `regex` with `re`), loading a model with a narrow unicode build of Python will fail with `sre_constants.error: bad character range`. See #3421 for details. spaCy should probably check `sys.maxunicode` on import and raise an error if it's `65535`, meaning the user is running a narrow build. (Even aside form spaCy, a narrow unicode build is pretty inconvenient when working with text in Python.) I've already added a section on this to the troubleshooting guide, so we can use text from that for the error message: https://spacy.io/usage#narrow-unicode Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: nbconvert incompatible with Windows? This is just speculation, but the way pathnames are defined in `IPython/nbconvert/exporters/exporter.py` looks like it will cause problems on windows systems. `os.path.join` should be used in favor of hard-coded paths. I don't have a windows machine to test this out on, though. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Allow passing extra arguments to gtkdoc-fixxref Extra arguments are typically used to let `gtkdoc-fixxref` fix the cross referenced symbols in the API reference being built with the symbols exported by installed API references. Having a `fixxref_args` similar to the existing `scan_args` and `html_args` would be enough to cover this use case. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Document naming of CircuitInstruction and related classes ### What should we add? I asked @jakelishman why CircuitInstruction is named that way when it is not an Instruction, and why it has an attribute named `operation` which is actually an Instruction. He replied: >it’s because what’s currently called Instruction shouldn’t really be called that, but we can’t change it without breaking everything. So instead, the new interface definition for “something that can be added to QuantumCircuit is called Operation, and the container is CircuitInstruction to avoid the naming clash This should be publicly documented somewhere to mitigate user confusion. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: b_sanitize=address requires b_lundef=false? If I don't specify `-Db_lundef=false` at the same time I specify `-Db_sanitize=address` I get linker errors when building shared objects. ``` CC=clang CXX=clang++ meson.py -Db_sanitize=address -Db_lundef=false --buildtype=debugoptimized build-clang-asan ``` This caught me by surprise and took a while to figure out why the linker was failing. Is it reasonable to automatically set `b_lundef` to false if `b_sanitize` is set to address (and possibly others)? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Fix callback signature on trainer.html ## 📚 Documentation According to [callbacks.html][1], `on_train_start` and `on_train_end` receive three arguments, but the callback example on [trainer.html][2] has only one: ``` from pytorch_lightning.callbacks import Callback class PrintCallback(Callback): def on_train_start(self): print("Training is started!") def on_train_end(self): print(f"Training is done. The logs are: {self.trainer.logs}") ``` Also, it seems that `logs` doesn't exists anymore. Could you please confirm me? [1]: https://pytorch-lightning.readthedocs.io/en/stable/callbacks.html [2]: https://pytorch-lightning.readthedocs.io/en/stable/trainer.html Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Tensorboard logger logs to same directory when trial is pruned using hp_search and optuna ## 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: 4.11.3 - Platform: Linux - Python version: 3.8.8 ### Who can help @sgugger ## Information I am running a hyperparameter search on various models using optuna on a modified GLUE task. Whenever optuna prunes a trial, the following trial is logged into the same logging directory and therefore doesn't show up in Tensorboard. As far as I can tell, the immediate easy fix would be to call the `on_train_end` callback when the trial is to be pruned. This would reset the tensorboard logger and has worked for me in testing. I'm not sure if it has any unwanted side effects, though. I've opened a Pull Request fixing 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 conan-io/conan codebase. Here's the problem: Hard to debug error ERROR: Expecting value: line 1 column 1 (char 0) Hi, first of all i want to congratulate you guys on this great project that is conan. I performed some conan copy to rename the owner of the package on custom packages that some have sources other get the sources from git and so on, they all are different but now i'm getting this anoying error when i try to do a conan install on some packages: ``` ERROR: Expecting value: line 1 column 1 (char 0) ``` The problem is that it is very hard to know what package is creating this error. I kind understand that the problem was that the conan copy does not copy sources or it seems... something like that i can't really explain, but doing the conan create again on the package seems to fix this... (when i find the package with error... but i got many and is hard to find the one in error or ones) It will be nice to add the package name on the error to easily find the package that is creating the problem (many package dependencies create this hard to find package in error) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Flaky test for NLLB-MoE Model ### System Info Environment: Circle CI test_torch image, defined [here](https://github.com/huggingface/transformers/blob/c15f937581048fa28f77794c4f6a257e14d272cb/.circleci/create_circleci_config.py#L211) ### Who can help? @ArthurZucker ### Information - [ ] The official example scripts - [ ] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction The test `tests/models/nllb_moe/test_modeling_nllb_moe.py::NllbMoeModelTest::test_decoder_model_past_with_large_inputs` is flaky and occasionally fails. Note: the tolerance on the test is also very low. Error cannot be deterministically reproduced. The test passes when I run it locally. An example of a failed run: https://app.circleci.com/pipelines/github/huggingface/transformers/60931/workflows/4642cd50-8d8c-4a6b-bea9-b077ff7400cf/jobs/747651 This came from this run: https://github.com/huggingface/transformers/runs/12389736536 And this unrelated PR: https://github.com/huggingface/transformers/pull/21855 ### Expected behavior Tests pass on every run. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Display custom gate labels in circuit drawer <!-- ⚠ 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? In the most recent version of Terra gate objects now support a custom label string (default None). If this string is set it would be good to display this in the circuit drawers. For example: ```python from qiskit import QuantumRegister, QuantumCircuit from qiskit.extensions import XGate, UnitaryGate qr = QuantumRegister(2) circ = QuantumCircuit(qr) circ.append(XGate(), [qr[0]]) circ.append(XGate(label='alt-X'), [qr[0]]) circ.append(UnitaryGate([[1, 0, 0, 0], [0, 0, 1j, 0], [0, 1j, 1, 0], [0, 0, 0, 1]], label="iswap"), [qr[0], qr[1]]) print(circ) ``` currently shows: ``` ┌───┐┌───┐┌──────────┐ q1_0: |0>┤ X ├┤ X ├┤0 ├ └───┘└───┘│ unitary │ q1_1: |0>──────────┤1 ├ └──────────┘ ``` But with this change would ideally show: ``` ┌───┐┌───────┐┌────────┐ q1_0: |0>┤ X ├┤ alt-X ├┤0 ├ └───┘└───────┘│ iswap │ q1_1: |0>──────────────┤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 huggingface/transformers codebase. Here's the problem: Faster Pegasus tokenizer tests Current test_tokenization_pegasus.py takes more than a minute to run because it uses a full size tokenizer [here](https://github.com/huggingface/transformers/blob/master/tests/test_tokenization_pegasus.py#L19) It should use "fixtures/test_sentencepiece.model" like `tests/test_tokenization_t5.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 docker/compose codebase. Here's the problem: Add support --device-cgroup-rule option Hello everyone! Almost one year ago `--device-cgroup-rule` was merged into main branch (https://github.com/moby/moby/pull/22563), but I cannot find any support for this option in latest docker-compose. 1. When will this option be added? 2. How can I use it now? Maybe some workaround for it? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: config does not handle unnamed volumes correct I do have several compose files. My goal is to combine them using "docker-compose config". The problem is, that docker-compose does not understand its own created file after that. Given a compose file with an unnamed volume ``` yml version: '2' services: test: image: ubuntu volumes: - /config ``` When running 'docker-compose config' Then the unnamed volume will be suffixed with ":rw" Unnamed volumes are currently not allowed to be suffixed with ":rw". This causes docker-compose to do not understand it's own format anymore. Error message is like ``` Creating composeconfig_test_1 ERROR: for test b'Invalid volume spec "rw": volumeabs: Invalid volume destination path: \'rw\' mount path must be absolute.' ERROR: Encountered errors while bringing up the project. ``` Once running docker-compose config again on that file, the volume will be again suffixed with ":rw". Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [suggestion] Pass command to Runner as a sequence instead of string To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Conan-1.18.1 Conan's `Runner` class (and through it, `ConanFile`'s `run()` method) only support commands passed as strings. This forces users to correctly quote all arguments, which is a [frequent](https://github.com/conan-io/conan/pull/2555) [source](https://github.com/conan-io/conan/pull/1641) [of](https://github.com/conan-io/conan/issues/2185) [bugs](https://github.com/conan-io/conan/pull/2313) because problems only manifest when certain characters occur in option values or path names. What are people's thoughts on adding support for specifying the command as a sequence as an alternative to a string? The underlying Python call `subprocess.Popen()` already supports this, and `os.system()` can be replaced by `subprocess.run()` which does this as well. An `env` parameter will probably need to be added to support setting `DYLD_LIBRARY_PATH` in `ConanFile`'s `run()` method. It is possible to seamlessly support commands as both strings and sequences, so I expect this change to be fully backwards-compatible from the perspective of recipes. In my opinion, it would be a huge improvement to Conan's usability and safety. If there's any interest for this to go ahead, I'm more than willing to provide a PR. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Changing style in matplotlib circuit_drawer changes the circuit layout   ### Informations - **Qiskit Terra version**: current master - **Python version**: 3.7 - **Operating system**: OSX ### What is the current behavior? The output from the Matplotlib circuit drawer changes when the `style` kwarg is modified ### Steps to reproduce the problem `circuit_drawer(circ)` vs `circuit_drawer(circ,style=qx_color_scheme())`: (Here I show only the first pane of the circuit)   ### What is the expected behavior? I would assume that the style does not change the circuit layout in the figure. ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: MAINT: Remove surviving and unused list comprehension from _polybase Lines 320 to 325 of `numpy/polynomial/_polybase.py` contains the following code: ``` # filter out uninteresting coefficients filtered_coeffs = [ (i, c) for i, c in enumerate(self.coef) # if not (c == 0) # handle NaN ] ``` A few things to note: 1) the comment no longer describes what the comprehension does 2) the conditional is commented out 3) resulting list is never used Looks like this is just some leftover code from a prior implementation that has caused no problems, as so has been overlooked. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: IPython notebook not starting on winXP Hi, I am getting the following error when I try to start the Ipython notebook ``` Traceback (most recent call last): File "C:\Python26\lib\site-packages\zmq\eventloop\ioloop.py", line 354, in _run_callback callback() File "C:\Python26\lib\site-packages\zmq\eventloop\stack_context.py", line 133, in wrapped callback(*args, **kwargs) File "C:\Python26\lib\site-packages\tornado-2.2-py2.6.egg\tornado\iostream.py", line 304, in wrapper callback(*args) File "C:\Python26\lib\site-packages\tornado-2.2-py2.6.egg\tornado\httpserver.py", line 250, in _on_headers self.request_callback(self._request) File "C:\Python26\lib\site-packages\tornado-2.2-py2.6.egg\tornado\web.py", line 1362, in __call__ handler._execute(transforms, *args, **kwargs) TypeError: _execute() keywords must be strings ``` please note that I am using ZMQ version 2.1.7 Thanks! Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Build API Tests Failing on Windows <!-- Welcome! Before creating a new issue: * Search for relevant issues * Follow the issue reporting guidelines: https://jupyterlab.readthedocs.io/en/latest/getting_started/issue.html --> ## Description We are currently skipping the build tests in `jupyterlab/tests/test_build_api.py` on Windows. We should reinstate them and fix the underlying error. <!--Describe the bug clearly and concisely. Include screenshots if possible--> ## Reproduce Uncomment the skipped tests and run CI on Windows. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `overfit_pct` vs `train_percent_check` etc As far as I can make out, the (only?) purpose of `overfit_pct` is to overwrite the values of `train_percent_check`, `val_percent_check`, and `test_percent_check`. If that is the case, then I think we should - make the names more similar (e.g. `data_percent_check`) - move the positions of the arguments closer together (so that it suggests a relation) - update the docs to reflect that (I found the docs confusing) Also, the default value should not be `0.0` but `None`. Another option would be to drop it completely for the sake of simplification. Not sure. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: bug in dealing with data type at `one_qubit_decompose.py` ### Environment - **Qiskit Terra version**: `{'qiskit-terra': '0.23.0', 'qiskit-aer': '0.11.2', 'qiskit-ignis': '0.7.0', 'qiskit-ibmq-provider': '0.19.2', 'qiskit': '0.40.0', 'qiskit-nature': None, 'qiskit-finance': None, 'qiskit-optimization': None, 'qiskit-machine-learning': None}` - **Python version**: `python3.8` - **Operating system**: linux ### What is happening? I see error message as below: ``` "/home/labuser/.virtualenvs/controller/lib/python3.8/site-packages/qiskit/quantum_info/synthesis/one_qubit_decompose.py", line 242, in angles_and_phase return self._params(unitary) File "/home/labuser/.virtualenvs/controller/lib/python3.8/site-packages/qiskit/quantum_info/synthesis/one_qubit_decompose.py", line 265, in _params_u1x theta, phi, lam, phase = OneQubitEulerDecomposer._params_zyz(mat) TypeError: argument 'unitary': type mismatch: from=float64, to=complex128 ``` this was with input ``` [[ 0.70710678 0.70710678] [ 0.70710678 -0.70710678]] ``` ### How can we reproduce the issue? ``` from qiskit.quantum_info import OneQubitEulerDecomposer rzsxDecomposer = OneQubitEulerDecomposer('PSX') M=[[ 0.70710678, 0.70710678] , [ 0.70710678, -0.70710678]] (theta, phi, lam, gamma) = rzsxDecomposer.angles_and_phase(M) ``` The error can be resolved by manually casting M to complex; ``` from qiskit.quantum_info import OneQubitEulerDecomposer rzsxDecomposer = OneQubitEulerDecomposer('PSX') M=[[ 0.70710678, 0.70710678] , [ 0.70710678, -0.70710678]] (theta, phi, lam, gamma) = rzsxDecomposer.angles_and_phase(np.array(M).astype(complex)) ``` ### What should happen? flag the data type error ### Any suggestions? add wrapper before pass it to rust so that every variable we are passing is casted to complex Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Incorrect network name showed with --x-networking Started an application using https://github.com/arun-gupta/docker-images/blob/master/wildfly-mysql-javaee7/docker-compose.yml as: ``` console docker-compose --x-networking up -d Creating network "wildflymysqljavaee7" with driver "None" Creating wildflymysqljavaee7_mywildfly_1 Creating db ``` The message shows network is created with driver "None" but listing the network as `docker network ls` shows otherwise: ``` console > docker network ls NETWORK ID NAME DRIVER a3c9994d6134 none null 91537bec6510 host host b1770955e5aa wildflymysqljavaee7 bridge 6fda61934fbe bridge bridge ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [examples/pytorch/image-classification] why does it require `torch>=1.9.0` Why do we have these particular requirements at: https://github.com/huggingface/transformers/blob/b90096fe1424e1927e549b73b5db67341a0d27d0/examples/pytorch/image-classification/requirements.txt#L1-L2 I tested it and it works with pt-1.8.2 just fine. ``` RUN_SLOW=1 pyt examples/pytorch/test_examples.py -k test_run_image_classification ``` Let's not set a higher version requirement than it actually is needed. I propose to remove both entries altogether unless they are actually needed and if so tested with the lowest supported version. It's important in this particular case since HF Deepspeed integration tests are now included in the Deepspeeed CI which runs on pt-1.8 so I can't test HF image models on the Deepspeed side then. Thank you! @nateraw, @LysandreJik Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Remove MSBasisDecomposer from pass manager construction <!-- ⚠ 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? The MSBasisDecomposer pass and `ms_basis_swap` check in https://github.com/Qiskit/qiskit-terra/blob/41cf87c/qiskit/compiler/transpile.py#L290 were introduced as workarounds to support transpiling to devices with other basis gates. This is now supported directly by the transpiler, so these can be removed. The MSBasisDecomposer pass should be deprecated with a note re-directing to the BasisTranslator. `ms_basis_swap` can be removed directly. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: conan install -u traceback When running `conan install -u` while no previous `conan install` was run (so e.g. no conan conanbuildinfo.cmake exists) I get the following traceback: ![image](https://cloud.githubusercontent.com/assets/11735226/17244088/59567f7c-5580-11e6-8a6f-4b026be70816.png) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Using docker-compose scale prevents --x-smart-recreate from skipping service Sample set-up - dispatcher - worker_a - worker_b ``` docker-compose up -d docker-compose scale worker_b=2 ``` Update code for worker_a, rebuild image (worker_b unaffected) ``` docker-compose up -d --x-smart-recreate > sample_dispatcher_1 is up-to-date > Recreating sample_worker_a_1... > Recreating sample_worker_b_1... > Recreating sample_worker_b_2... ``` Would expect worker_b instances to be left untouched. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Improve PyTorch examples for FP16 To get the full speed-up of FP16 training, every tensor passed through the model should have all its dimensions be a multiple of 8. In the new PyTorch examples, when using dynamic padding, the tensors are padded to the length of the biggest sentence of the batch, but that number is not necessarily a multiple of 8. The examples should be improved to pass along the option `pad_to_multiple_of=8` when `fp16` is True, if using a data collator that applies padding (or replace the `None` passed along to `Trainer` for `data_collator` by a `DataCollatorWithPadding(tokenizer, pad_to_multiple_of=8)`). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Provide a way to unset environment variables from conan I haven't found any way to unset environment variables in profiles and conan recipes. Tools module has `environment_append`, but it can only add or replace something, not delete. Empty value is not the same as unbound variable, so `environment_append({"VAR": ""})` does not work in some cases. `environment_append` could accept `None` values in a dictionary and unset the corresponding variables for them. For profiles I have no idea yet. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: retry in config, not in env-vars Changelog: omit Docs: omit Some cleaning and refactors after merging: https://github.com/conan-io/conan/pull/5174/files - Renamed Downloader, Uploader to FileDownloader, FileUploader, so they do not have the same name as the Conan Uploader - The ``retry`` variable is confusing actually is the total number of attempts. I have added +1 to it by default. - Passing ``retry`` and ``retry_wait`` as arguments, not env-vars - Minor pep8 fixes - The ``tools.download()`` still uses the env-vars, because it does not have access to the config An alternative solution that seemed cleaner initially was to add ``retry`` and ``retry_wait`` to ``ConanRequester``. It was way cleaner, but then it lost the possibility to replace ConanRequester by ``requests``, forcing some tests (like the RestApiTest) to wrap ``requests`` with a ``ConanRequester``. Would that be ok @lasote? What would you prefer? @tags: slow Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 option printing regarding default values #3739 added a new feature to print options that are different from the default. However, this seems to never have worked or maybe I'm failing to understand how it is supposed to work. 1) Given a `meson.build` with `project('demo', 'c', default_options : ['b_pch=true'])` and configuring the project prints: `Option b_pch is: true [default: true]` 2) Given a `meson.build` without `default_options`, configuring with either `-Db_pch=false` or `-Db_pch=true` does not print anything. @NickeZ: since you implemented the initial patch, could you maybe chime in and tell me if this is expected behavior? What should actually be printed during configuration? - a) Options that are not the MESON default (either being overwritten by `default_options` or on the command line, or - b) Options that are not the PROJECT default and thus could have only been overwritten on the command line Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Add detailed documentation for scheduler "tuning" parameters https://github.com/apache/airflow/pull/12139 added some new params to the scheduler -- we have "cursory" docs for them in the comments in the config file, but we should have a more details docs in the scheduler.rst page. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Provide a user-agent header for Conan (#3390) - [X] Refer to the issue that supports this Pull Request: Closes #3097 Docs: https://github.com/conan-io/docs/pull/700 This PR generates a user agent string that outputs the Conan client version and the Python version. This will allow us to track data for client version uptake, and data needed for assessing python version deprecation. Example: Conan/1.5.0 (Python 2.7.1) I have not implemented tests yet. I did do manual tests to confirm it achieves the desired result against Bintray, and when requesting a source tarball from places like source forge. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Latex drawer qubit index subscripts only apply to single character <!-- ⚠ 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**: Any - **Operating system**: Any ### What is the current behavior? When drawing a circuit with >= 10 bits in a register the subscript is only applied to the first character in the index. For example: ![66655756-a72bbb80-ec0a-11e9-89e7-7c88ab141a37](https://user-images.githubusercontent.com/2447371/66656378-dc84d900-ec0b-11e9-99c7-dd1bd62c0387.png) The entire index should be included in the subscript, for example like: ![latex](https://user-images.githubusercontent.com/2447371/66656399-e7d80480-ec0b-11e9-96b1-281e8e23a111.png) ### Steps to reproduce the problem Visualize a circuit with >=10 bits in a register using the latex output. ### What is the expected behavior? The subscript applies to all characters in the index ### Suggested solutions Fix the bug (it's a one line fix) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: DOC: docstring for numpy.finfo.eps is incorrect The [docstring](https://github.com/numpy/numpy/blob/97c35365beda55c6dead8c50df785eb857f843f0/numpy/core/getlimits.py#L33-L36) for `numpy.finfo` currently defines the `eps` attribute as: > The smallest representable positive number such that 1.0 + eps != 1.0. [...] That definition is not correct, at least in the common case of the IEEE 754 binary formats. For example, with the IEEE 754 binary64 format under the usual round-ties-to-even rounding mode, the stated definition gives a value of `2**-53 + 2**-105` (approx. `1.1102230246251568e-16`), which is a little over half of the correct value of `2**-52` (approx `2.220446049250313e-16`). ``` In [36]: eps = 2**-53 + 2**-105 In [37]: eps Out[37]: 1.1102230246251568e-16 In [38]: 1.0 + eps != 1.0 Out[38]: True In [39]: 1.0 + np.nextafter(eps, -np.inf) != 1.0 Out[39]: False In [40]: np.finfo(float).eps Out[40]: 2.2204460492503131e-16 ``` Some possible rewordings: > The smallest positive number such that 1.0 + eps is representable. Or: > The difference between 1.0 and the smallest representable float larger than 1.0. Or it could be defined in terms of `nextafter` as: > The value of `np.nextafter(1.0, np.inf) - 1.0`. For comparison, section 5.2.4.2.2, paragraph 11 of the C99 standard defines the various `*_EPSILON` macros (`DBL_EPSILON`, `FLT_EPSILON`, ...) as: > the difference between 1 and the least value greater than 1 that is representable in the given floating point type, b1− p The docstring for `epsneg` is similarly incorrect. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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] copy(ignore_case=False) under Windows <!-- Please don't forget to update the issue title. Include all applicable information to help us reproduce your problem. To help us debug your issue please explain: --> ### Environment Details (include every applicable attribute) * Operating System+version: Windows 10 * Conan version: 1.20.4 * Python version: 3.7.1 I would say `copy(ignore_case=False)` methods behavior under Windows is at least inconsistent with docs: > - **ignore_case** (Optional, Defaulted to False): If enabled, it will do a case-insensitive pattern matching. actually files case is effectively ignored regardless `ignore_case` value. That's due to https://github.com/conan-io/conan/blob/e5d142e61e9913b246c034a46d21c2d183ba0d35/conans/client/file_copier.py#L155 `fnmatch.filter` uses `fnmatch.fnmatch` that in turn involves `os.path.normcase()` doing case-insensitive filtering under Windows. What about ```python files_to_copy = [n for n in filenames if fnmatch.fnmatchcase(n, pattern)] ``` and replacing `fnmatch.fnmatch` with `fnmatch.fnmatchcase` everywhere? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: [Firestore] DocumentReference.path is missing. DocumentReference.path is missing. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: plot_error_map fails ### Environment - **Qiskit Terra version**: 0.20 - **Python version**: 3.10 - **Operating system**: ```python backend = provider.backend.ibmq_kolkata plot_error_map(backend) ``` gives ``` ValueError: shape mismatch: objects cannot be broadcast to a single shape ``` ### What is happening? fails for some reason in the measurement bar plots ### How can we reproduce the issue? run above ### What should happen? works ### 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 Lightning-AI/lightning codebase. Here's the problem: to_categorical should go before get_num_classes in metrics/functional/classification.py https://github.com/PyTorchLightning/pytorch-lightning/blob/d18b9ef9d95ffd92591f767808cc497af5bd4e1c/pytorch_lightning/metrics/functional/classification.py#L174-L178 `to_categorical` should go before `get_num_classes`, since `get_num_classes` assumes `pred` has already been turned into categories (it is doing `int(pred.max().detach().item() + 1)`). Warnings are raised now and then with current code, for example: ``` UserWarning: You have set 10 number of classes if different from predicted (xx) and target (10) number of classes ``` If logits are passed in directly for metrics. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: %run filename autocompletion "The kernel heartbeat has been inactive ... " error It only happens when I run it as an application, with "Run in terminal" unchecked. (When I run it in terminal, it does not happen) When I press tab to autocomplete during the input of the argument of the run magic command, for example: In [2]: %run 'work[TAB] ipython-qtconsole hangs for a while, and then gives me the following error: The kernel heartbeat has been inactive for 3.00 seconds. Do you want to restart the kernel? You may first want to check the network connection. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Cleanup extra logic that handle python <=3.3 https://github.com/ipython/ipython/pull/10833 dis most of that but there seem to be some logic still handling python 3.3 https://github.com/ipython/ipython/blob/dda523895e5a9c4185de763a25f038dc6fff76b8/IPython/core/extensions.py#L17-L21 https://github.com/ipython/ipython/blob/dda523895e5a9c4185de763a25f038dc6fff76b8/IPython/utils/openpy.py#L117-L121 https://github.com/ipython/ipython/blob/dda523895e5a9c4185de763a25f038dc6fff76b8/IPython/utils/text.py#L512-L519 (3.4.2+) https://github.com/ipython/ipython/blob/dda523895e5a9c4185de763a25f038dc6fff76b8/IPython/core/magics/execution.py#L145-L149 There are possibly other places, this should be relatively easy to fix for a new contributor. Each of these removal can be a separate PR. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Move ACL-related APIs for buckets/keys to the relevant ACL classes. See https://github.com/GoogleCloudPlatform/gcloud-python/pull/318#discussion_r19682468 and previous notes. Obsoletes #262. Move ACL-related APIs for buckets/keys to the relevant ACL classes. See https://github.com/GoogleCloudPlatform/gcloud-python/pull/318#discussion_r19682468 and previous notes. Obsoletes #262. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Duplicate param 'uid' in CeleryDaemonCommand # Checklist - [ x] I have checked the [issues list](https://github.com/celery/celery/issues?utf8=%E2%9C%93&q=is%3Aissue+label%3A%22Category%3A+Documentation%22+) for similar or identical bug reports. - [x ] I have checked the [pull requests list](https://github.com/celery/celery/pulls?q=is%3Apr+label%3A%22Category%3A+Documentation%22) for existing proposed fixes. - [ x] I have checked the [commit log](https://github.com/celery/celery/commits/master) to find out if the bug was already fixed in the master branch. - [ x] I have included all related issues and possible duplicate issues in this issue (If there are none, check this box anyway). ## Related Issues and Possible Duplicates #### Related Issues - None #### Possible Duplicates - None # Description CeleryDaemonCommand have duplicated CeleryOption for --uid which leads to all docs using it to have duplicated line (beat, multi, worker, etc). # Suggestions Remove the duplicate in CeleryDaemonCommand in celery/celery/bin/base.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: Improve help for conan remove <ref_or_pattern> -p Related to #1467, #1314 `conan remove <ref_or_pattern> -p` command is allowed and displayed in the docs but the help does not state this clear ``` $ conan remove -h usage: conan remove [-h] [-b [BUILDS [BUILDS ...]]] [-f] [-l] [-o] [-p [PACKAGES [PACKAGES ...]]] [-q QUERY] [-r REMOTE] [-s] [-t] [pattern_or_reference] Removes packages or binaries matching pattern from local cache or remote. It can also be used to remove temporary source or build folders in the local conan cache. If no remote is specified, the removal will be done by default in the local conan cache. positional arguments: pattern_or_reference Pattern or package recipe reference, e.g., 'boost/*', 'MyPackage/1.2@user/channel' optional arguments: -h, --help show this help message and exit -b [BUILDS [BUILDS ...]], --builds [BUILDS [BUILDS ...]] By default, remove all the build folders or select one, specifying the package ID -f, --force Remove without requesting a confirmation -l, --locks Remove locks -o, --outdated Remove only outdated from recipe packages. This flag can only be used with a reference -p [PACKAGES [PACKAGES ...]], --packages [PACKAGES [PACKAGES ...]] Select package to remove specifying the package ID ``` Conan 1.17 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Merge `fields_schema_vx.json` and `service_schema_vx.json` Currently we split the config schema into two files, one for the "top level" configuration and the other for the service definition. We can actually put everything into the same file and still do multi-stage validation. 1. Move `#/definitions/service` into `fields_schema_vx.json` 2. Move `#/definitions/constraints` into `fields_schema_vx.json` (and rename it to service-constraints or something like that) 3. Rename `fields_schema_vx.json` to `config_schema_vx.json`, and remove `service_schema.json` 4. Create a new definition called something like `top-level-config` which contains the top level properties (`services`, `networks`, `volumes`, and `version`) with `type: object`, without any validation of the properties. 5. Move the current root schema properties into a new definitions, one for each type `networks`, `volumes`, `services`. 6. Change the top level schema to be `allOf: ['top-level-config', 'networks', 'volumes', 'services']` In the compose validation code we would never validate the root schema directly. First we validate against the `top-level-config` schema to make sure all the keys exist and are of the right type. Then as we validate each section we use the individual definitions. This allows us to raise an error which contains the name of the item (service name, volume name, etc) without having to guess at where the name is in within the schema. I think this should block #2089 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Conda confirmation prompt doesn't accept no When running `conda create` or another command and then choosing "no" at the prompt where it asks you to proceed, conda still goes ahead and performs the operation. Looks like this might have been introduced by #5203. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: TFBertModel ValueError: Tried to convert 'dims' to a tensor and failed. Error: Cannot convert a partially known TensorShape to a Tensor The code below was fine when transformers 2.1.1 but after I update to transformers 2.2.0 ``` model = TFBertForSequenceClassification.from_pretrained('bert-base-chinese', num_labels=5) model.summary() optimizer = tf.keras.optimizers.Adam(learning_rate=3e-5, epsilon=1e-08, clipnorm=1.0) loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True) metric = tf.keras.metrics.SparseCategoricalAccuracy('accuracy') model.compile(optimizer=optimizer, loss=loss, metrics=[metric]) model_fit = model.fit(train_input_ids, train_label, batch_size=8, epochs=1, validation_data=(validation_input_ids, validation_label) ) ``` ``` ValueError: Tried to convert 'dims' to a tensor and failed. Error: Cannot convert a partially known TensorShape to a Tensor: (None, 512) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 when number of qubits is of type numpy.int64 <!-- ⚠ 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? In `qiskit/validation/base.py`, function `check_types`: currently, if `n_qubits` or `memory_slots` are of type `numpy.int64`, then an error is triggered, because type `int` is expected. I find it too strict. Especially considering that if the number of qubits is originated in a `numpy` array, then its default type is `numpy.int64`. Terra can allow additional types, or convert the type internally. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Broadcast messages in Celery 4.0.1 + Django not worked for me ## Checklist - [x] I have included the output of ``celery -A proj report`` in the issue. (if you are not able to do this, then at least specify the Celery version affected). - [x] I have verified that the issue exists against the `master` branch of Celery. ## Steps to reproduce I'm using django 1.8 + Celery 4.0.1 + Kombu 4.0.1 + Redis as broker from kombu.common import Broadcast CELERY_QUEUE_BROADCAST = 'broadcast' CELERY_QUEUES = (Broadcast(queue=CELERY_QUEUE_BROADCAST), ) @task(ignore_result=True, queue=CELERY_QUEUE_BROADCAST) def broadcast_task(): print "task runned" started two workers celery -A proj worker -Q broadcast broadcast_task.delay() ## Expected behavior tasks are performed by each worker at same time ## Actual behavior tasks performed by one worker at same time also i placed my question on SO http://stackoverflow.com/questions/41639334/broadcast-messages-in-celery-4-x Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Update slackapiclient / slack_sdk to v3 Hello, Slack has released updates to its library and we can start using it for it. We especially like one change. > slack_sdk has no required dependencies. This means aiohttp is no longer automatically resolved. I've looked through the documentation and it doesn't look like a difficult task, but I think it's still worth testing. More info: https://slack.dev/python-slack-sdk/v3-migration/index.html#from-slackclient-2-x Best regards, Kamil Breguła Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 cell magic suppresses cell output The following code does not display the value of `x` when run. ``` %%time x = 10 x = x*2 x ``` Expected output includes the execution time and the value of `x`. Using the `%time` line magic seems to work, even for multi-line code. Additional info: ipython_version: 7.5.0 os_name: nt platform: Windows-10-10.0.17134-SP0 sys_platform': win32 sys_version: 3.7.3 [MSC v.1915 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 ipython/ipython codebase. Here's the problem: Audit our warnings Our warnings should likely be audited to check the following (mostly for deprecation warnings): Warnings messages should try to mention: - Since which version something is deprecated. - Whether it currently has an effect (or not), and in both case by what it could (should?) be replaced. - a `stacklevel` value (except maybe at import time, in order to appear at in the right stackframe) That should be easy for someone to get into 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 numpy/numpy codebase. Here's the problem: i0 changes the shape `numpy.i0` squeezes the input, as in an example of the document: ``` >>> np.i0([0.]) array(1.0) ``` This is different from `scipy.special`: ``` >>> special.i0([0.]) array([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 googleapis/google-cloud-python codebase. Here's the problem: Add a Getting started with Cloud Storage walk-through Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Add data_interval_start and data_interval_end columns to DagRun table, and set them when creating DagRuns. Create a single DB Migration for the following: - [ ] Use `DagModel.schedule_interval` to calculate `DagRun.data_interval_start` and `DagRun.data_interval_end`. - [ ] Once`DagRun.data_interval_end` is calculated, use it's value as `DagRun.schedule_date` which will be a "replacement" for `DagRun.execution_date` as mentioned in [AIP-39](https://cwiki.apache.org/confluence/display/AIRFLOW/AIP-39+Richer+scheduler_interval#AIP39Richerscheduler_interval-RenameDagRun.execution_datetoschedule_date) (Keep `execution_date` - don't remove it for backwards compatibility.) Update template context to deprecate `execution_date` and add new "interval" properties As per the AIP, we want to deprecate some of the current variables in the template context, as well as add some new ones When one of these deprecated variables is accessed we want to issue a DeprecationWarning., Getting this to show up the location of the dag file may be hard, so we make to include the dag_id and task_id in the warning. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Add dataloader arg to Trainer.test() ## 🚀 Feature <!-- A clear and concise description of the feature proposal --> It would be nice if you could use a model for inference using: `Trainer.test(model, test_dataloaders=test_loader)` ### Motivation This will match the calling structure for `Trainer.fit()` and allow for `test` to be called on any dataset multiple times <!-- Please outline the motivation for the proposal. Is your feature request related to a problem? e.g., I'm always frustrated when [...]. If this is related to another GitHub issue, please link here too --> ### Pitch Here's a use case. After training a model using 5-fold cross-validation, you may want to stack the 5 checkpoints across multiple models, which will require a) out-of-fold (OOF) predictions and b) the 5 test predictions (which will be averaged). It would be cool if a & b could be generated as follows: ```python for f in folds: model1.load_from_checkpoint(f'path/to/model1_fold{f}.ckpt') trainer.test(model1, test_dataloaders=valid_loader) trainer.test(model1, test_dataloaders=test_loader) model2.load_from_checkpoint(f'path/to/model2_fold{f}.ckpt')) trainer.test(model2, test_dataloaders=valid_loader) trainer.test(model2, test_dataloaders=test_loader) ``` <!-- A clear and concise description of what you want to happen. --> ### Alternatives Maybe I'm misunderstanding how `test` works and there is an easier way? Or perhaps the best way to do this is to write an inference function as you would in pure PyTorch? <!-- A clear and concise description of any alternative solutions or features you've considered, if any. --> ### Additional context <!-- Add any other context or screenshots about the feature request 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: Inefficient 1Q sequences in -O3 ### Information - **Qiskit Terra version**: 0.17 - **Python version**: 3.7 - **Operating system**: macOS Catalina ### What is the current behavior? `synthesis(..., optimization_level=3, translation_method='synthesis')` emits programs with inefficient 1Q subsequences. ### Steps to reproduce the problem Supply any sufficiently complex circuit (e.g., a quantum volume circuit) to the synthesis routine with optimization level turned up. ### What is the expected behavior? Each 1Q subsequence should be efficient, e.g., should apply `sx` no more than twice. ### Suggested solutions The `_unroll` set of passes (`UnitarySynthesis` specifically) is un-doing some of the work of `_opt` (`Optimize1qDecompose` specifically). I think what’s happening is: * `ConsolidateBlocks` produces operation strings like `u q[0] q[1]; v q[1] q[2];`, where `u` and `v` are opaque two-qubit unitaries. * `UnitarySynthesis` subsequently throws single-qubit sequences onto `q[1]` after `u` and before `v`. * No one then merges + resynthesizes that pair of sequences. For an 8x8 quantum volume circuit, this pushes the depth up from ~340 to ~400 — a significant effect. Omitting `_unroll` entirely works fine for QV circuits targeting IBM devices, but the purpose of `_unroll` was to re-nativize any non-native output that `_opt` may have emitted. So long as we're concerned about that, we'll have to install a more delicate fix. For instance, we might run an analysis pass which checks for instructions outside of `basis_gates`, and only apply `_unroll` if any are found — though I'm not sure that this is sufficient logic. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: TypeError: savez() got multiple values for keyword argument 'file' savez consumes the 'file' parameter itself, thus the user can not save an array items named 'file'. This shall probably be documented. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Improper CMake generator string Currently, the generator string passed to CMake is formatted like this in cmake.py: `"Visual Studio %s" % self._settings.compiler.version`, which results in e.g. "Visual Studio 14". However, the correct string would be "Visual Studio 14 2015". For newer compiler versions, CMake supports the short version due to backward compatibility reasons, but when e.g. trying to use Visual Studio 2008, the generated string "Visual Studio 9" results in a CMake error (generator cannot be found), since it only supports the full string there ("Visual Studio 9 2008"). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Zero-shot classification pipeline truncation support Transformers 4.10.0 brought [a change](https://github.com/huggingface/transformers/pull/13299/files#diff-c5af53af9b08fb383b49d7a07c1a56c890198b5cd48adc97aeef753fe2e7d60dR91) that modified the default truncation strategy to TruncationStrategy.DO_NOT_TRUNCATE for the ZeroShotClassificationPipeline. That uncovered an issue in that the [ZeroShotClassificationPipeline](https://github.com/huggingface/transformers/blob/master/src/transformers/pipelines/zero_shot_classification.py#L217 ) doesn't appear to pass kwargs to the parent's call method. So even when calling the pipeline with truncation=True, it doesn't allow for truncation. Thank you for the assistance in advance, appreciate all the work you guys do. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Why beat.Schedle _when return this??? ## Steps to reproduce **https://github.com/celery/celery/blob/master/celery/beat.py#L261** ```python return (mktime(as_now.timetuple()) + as_now.microsecond / 1e6 + (adjust(next_time_to_run) or 0)) ``` What about the as_now timezone??? ## Expected behavior like this? ```python return (as_now.timestamp() + (adjust(next_time_to_run) or 0)) ``` But timestamp not support for python2.7? ```python return (mktime(as_now.utctimetuple()) + as_now.microsecond / 1e6 + (adjust(next_time_to_run) or 0)) ``` Or, tell me why wirte like this. This problem is found because of django-celery-beat.TzAwareCrontab not work as well. Beacause this schedule.now() return a time with timezone. ## Actual behavior Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: display_method of objects with custom __getattr__ Some objects such as pymongo collections implement a custom `__getattr__` method that always retursn an object. Then for the IPython display there is https://github.com/ipython/ipython/blob/master/IPython/core/displayhook.py#L245 which will call the `_ipython_display_` attribute returned by `__getattr__` and produce unpredictable behaviour; best case just an error, like: ``` TypeError: 'Collection' object is not callable. If you meant to call the '_ipython_display_' method on a 'Collection' object it is failing because no such method exists. ``` Probably can be considered a bug of pymongo, but may be worth considering to check for existence in `__dict__` rather than getattr. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Mistake in the BART doc & inconsistency between code & doc Version: Most recent in the Github repo. Model: BART. Description: https://github.com/huggingface/transformers/blob/main/src/transformers/models/bart/modeling_bart.py#L627 says to look at `modeling_bart._prepare_decoder_inputs` to modify the default behavior of the way `decoder_attention_mask` behaves by default, but there is no `_prepare_decoder_inputs` anywhere in the Huggingface Transformers repository. I guess it's an artifact from a previous version, and that the function is now called `_prepare_decoder_attention_mask`. However, this method doesn't seem to look at the values of the decoder inputs anywhere, so I don't think it does what the doc says, ie mask the pad tokens. Or is this done somewhere else? Thanks. ### Who can help? @patil-suraj ### Expected behavior ```shell Mask pad tokens by default in the decoder. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Minor dependency formatting glitch On Meson 0.47.2 I get Dependency GMock found: YES (prebuilt) On HEAD Meson I get Dependency GMock found: YES , prebuilt due to the system GMock missing a version specifier. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: UnicodeDecodeError - for environment variable with non-ascii character value ``` $ docker-compose --version docker-compose version: 1.3.2 CPython version: 2.7.9 OpenSSL version: OpenSSL 1.0.1e 11 Feb 2013 $ cat docker-compose.yml code: image: busybox $ docker-compose run -e FOO=bär code ls Traceback (most recent call last): File "<string>", line 3, in <module> File "/code/build/docker-compose/out00-PYZ.pyz/compose.cli.main", line 32, in main File "/code/build/docker-compose/out00-PYZ.pyz/compose.cli.docopt_command", line 21, in sys_dispatch File "/code/build/docker-compose/out00-PYZ.pyz/compose.cli.command", line 34, in dispatch File "/code/build/docker-compose/out00-PYZ.pyz/compose.cli.docopt_command", line 24, in dispatch File "/code/build/docker-compose/out00-PYZ.pyz/compose.cli.command", line 66, in perform_command File "/code/build/docker-compose/out00-PYZ.pyz/compose.cli.main", line 342, in run File "/code/build/docker-compose/out00-PYZ.pyz/compose.service", line 225, in create_container File "/code/build/docker-compose/out00-PYZ.pyz/compose.container", line 38, in create File "/code/build/docker-compose/out00-PYZ.pyz/docker.client", line 237, in create_container File "/code/build/docker-compose/out00-PYZ.pyz/docker.utils.utils", line 528, in create_container_config UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 1: ordinal not in range(128) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: print colorful warnings for Vala warnings and errors The Vala compiler outputs colorful warnings and errors by default (since version 0.27.1) but Meson shows them only in black and white. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 custom directory for conan_server Currently conan_server only supports being deployed to a default location - `~/.conan_server/`. My suggestion is to let the user set a custom directory by adding command-line argument that will let the user set where the server config and data will be stored. As far as I see from the code it should be something that is rather easy to do, and I would like to open a PR to add the functionality. - [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 googleapis/google-cloud-python codebase. Here's the problem: Pub / Sub clients don't add scopes to passed-in credentials This was reported in https://github.com/GoogleCloudPlatform/google-auth-library-python/issues/225 but I have yet to confirm. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Drop `beta` from all usage of gRPC /cc @nathanielmanistaatgoogle Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Memory error when download very big packages `conan install node/6.1.0@silkedit/stable -s compiler="Visual Studio" -s compiler.version=14` Downloader.download method keeps in memory too much data. ``` DEBUG :uploader_downloader.py[74]: <type 'exceptions.MemoryError'> [2016-09-23 15:15:02,983] DEBUG :uploader_downloader.py[75]: Traceback (most recent call last): File "c:\python27\lib\site-packages\conans\client\rest\uploader_downloader.py", line 62, in download ret.extend(data) MemoryError ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Incorrect value for conanfile_directory when being packaged in the build method The problem is that the conanfile is read just once, the first time it is needed, from the "export" folder, and thus, the initial value for `ConanFile._conanfile_directory` is initialized to that value. Afterwards, when it is used in the `build()` method, it is still pointing to the "export" folder, not the current "build" folder, which has a copy of the "export" folder + possibly cloned or retrieved code with `source()` method. This feature is tested, but it passes just by chance, as reading the CMakeLists and code from the export folder also works in the examples, but there are many other cases in which it will fail. It can be possibly fixed by adding a setter and making conan set it to the correct folder when calling `build()`, but I will analyze if there are other possible interactions with this issue. cc/ @skizzay Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the kubeflow/pipelines codebase. Here's the problem: Fix a missing precheck in create cluster component <!-- Reviewable:start --> This change is [<img src="https://reviewable.io/review_button.svg" height="34" align="absmiddle" alt="Reviewable"/>](https://reviewable.io/reviews/kubeflow/pipelines/1028) <!-- Reviewable:end --> Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: When updating a container definition with links: `ERROR: ... Conflict. The name ... is already in use by container ...` (1.7 regression) **What I do:** ``` docker-compose -f - up -d <<EOF rainbow: image: redis links: - red - green - blue red: image: redis green: image: redis blue: image: redis EOF docker-compose -f - up -d <<EOF rainbow: image: redis links: - red - green - blue red: image: redis green: image: redis blue: image: redis links: - cyan - navy cyan: image: redis navy: image: redis EOF ``` **What I expect:** Container `blue` is updated since in the 2nd version it has links to `cyan` and `navy` **What I see instead:** ``` ERROR: for cyan Conflict. The name "/composebug_cyan_1" is already in use by container 7841361683d7af4c53cac8c698a09a79cb16c8c21d83e9705ff3c36ed3dcc26e. You have to remove (or rename) that container to be able to reuse that name. ``` **Extra notes:** ``` $ docker-compose -v docker-compose version 1.7.0rc1, build 1ad8866 ``` This is The Weirdest Thing Ever. If I remove a container (e.g. `red`, `green`, or `navy`) everything works fine. If I rollback to Compose 1.6.2, all works correctly. If I bring up the 2nd stack directly (without going through the 1st stack) all works fine. This is executed on a single Engine, after wiping out all containers; running 1.11-rc3. I initially had the problem on a much bigger Compose file so I reduced it to the smallest thing that would still crash. To make it easy to tweak/test/etc, get this gist: https://gist.github.com/jpetazzo/6902757218d61ad7e2f4bc07ff40053c I'm stumped. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: bottom.QuantumCircuit.tensor(top. inplace=True) doubles ancillas on modified bottom ### Environment - **Qiskit Terra version**: 0.19.1 - **Python version**: 3.8.5 - **Operating system**: Win11x64 ### What is happening? Given QuantumCircuits "bottom" and "top", if "bottom" contains ancillas AND if performing bottom.tensor(top, inplace=True) then the modified "bottom" QuantumCircuit will have the ancilla entries doubled (with same name, so they are not visible in draw) in bottom.ancillas This does NOT happen if inplace=False ### How can we reproduce the issue? ```python bell = QuantumCircuit(2) bell.h(0) bell.cx(0, 1) c = QuantumCircuit(QuantumRegister(2), ClassicalRegister(2), AncillaRegister(2)) print(c.ancillas) # output: # [AncillaQubit(AncillaRegister(2, 'a8'), 0), # AncillaQubit(AncillaRegister(2, 'a8'), 1)] c.tensor(bell, inplace=True) print(c.ancillas) # output: # [AncillaQubit(AncillaRegister(2, 'a8'), 0), # AncillaQubit(AncillaRegister(2, 'a8'), 1), # AncillaQubit(AncillaRegister(2, 'a8'), 0), # AncillaQubit(AncillaRegister(2, 'a8'), 1)] ``` ### What should happen? Only the relevant ancillas should stay. ### Any suggestions? a related question: QuantumCircuit.qubits shows all qubits, including ancilla. Is that by design? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Improve instructions on pypi https://pypi.python.org/pypi/jupyterlab have minimal instruction > This is a very early pre-alpha developer preview. It is not ready for general usage yet. And there is no link to GitHub repository, it just point to jupyter.org, that does not link to here. I think that improving the readme on PyPI, and/org have a a page that describe what woudl be jupyterlab would be good. I thing that having the http://jupyter.org/jupyterlab/ page is great, though it might be a bit better suited for a branding page that match the jupyter.org theme, and can become just a normal tab, while the current page is a bit developper focused and can be scarry for "normal" users. Thoughts on both of these points ? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Should the default revision mode be "hash"? Maybe it is a better default than the scm, it doesn't depend on external tools, not "dirty/pristine" issues... the scm mode with revisions could be the opt-in. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Is this realy a list or a Dict[str, int]? I think the docstring might be wrong because in the model json file it is stored as a dict. https://github.com/huggingface/transformers/blob/9bdce3a4f91c6d53873582b0210e61c92bba8fd3/src/transformers/configuration_utils.py#L117 See here for example: https://s3.amazonaws.com/models.huggingface.co/bert/oliverguhr/german-sentiment-bert/config.json Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Binder dev builds are broken slowing down review process Reviewing JupyterLab PRs slowed down as the Binder environment does not work currently: while the binder badge gets added, the installation no longer boots up, e.g. https://mybinder.org/v2/gh/fcollonval/jupyterlab/fix%2F13972-use-back-runmenu-in-toolbar?urlpath=lab or https://mybinder.org/v2/gh/andrii-i/jupyterlab/closing_tabs_w_kb?urlpath=lab results in: ``` Spawn failed: Server at [...] didn't respond in 30 seconds. ``` On gitter @bollwyvl suggested that this might be related to our `start` file: https://github.com/jupyterlab/jupyterlab/blob/master/binder/start Edit: Community Forum post: https://discourse.jupyter.org/t/how-to-debug-server-at-didnt-respond-in-30-seconds-error/18042 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: vision API manual detection documented but not implemented https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/docs/vision-usage.rst#manual-detection wah? https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/vision/google/cloud/vision/image.py#L88 documentation written by @daspecster https://github.com/GoogleCloudPlatform/google-cloud-python/commit/95a55c145bd2e16e80e34e180682932c8a16199a Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: limit fig log if i create a container with fig and let it run and produce lots and lots of logs, when i execute: ``` fig logs ``` for the first time it can take minutes to print all the logs (this is because I am running some development application in debug mode). I would like to have a feature like with tail, where I can specify the initial amount of lines say for example: ``` fig logs -n 1000 ``` which would print the last 1000 lines of the logs it could be either the last for each container or the total 1000, as long i can avoid the initial print of thousands of logs... that I am not interested in... Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Fixed broken links based on location change. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Missing changelog entries ## Description of the issue This seems to be a repeat of #5871 . There's a version 1.23.2 on PyPI but the changelog was last updated for 1.23.0: https://github.com/docker/compose/blob/master/CHANGELOG.md This is not reassuring - both from an upgrade perspective (I want to be sure the new version won't need changes on my codebase) and security (is the new version legitimate?). ## Context information (for bug reports) N/A ## Steps to reproduce the issue 1. See new version on PyPI 2. Not see changelog entry ### Observed result Missing versions in changelog ### Expected result Every version in changelog ### Stacktrace / full error message N/A ## Additional information 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 PrefectHQ/prefect codebase. Here's the problem: Visualizations with mapping is not represented correctly ## Description Below is a `flow` with `mapping` The results of the `map` are read into another function `munge_dfs` That `edge` is not defined in the visualization when using `flow_state` to visualize-- It is represented as some id. It makes reading the visualization confusing. And even more so with multiple maps in a flow ![image](https://user-images.githubusercontent.com/16763201/70157305-f3c7cc00-167a-11ea-843e-db75476c7b99.png) **However** visualizing the flow without running it outputs the expected visualization ![image](https://user-images.githubusercontent.com/16763201/70157690-a009b280-167b-11ea-9d0e-2de32cc959d7.png) ## Reproduction ``` from prefect import Flow, Parameter, Task, task, unmapped from prefect.tasks.control_flow import ifelse, merge @task def sum_list(num_list): return sum(num_list) @task def add_some_num(x, y): return x + y @task def multiply_num(x): return x*2 @task def handle_value_error(some_param): return some_param with Flow("map viz") as map_viz: input_num = Parameter("input_num", default=5) multiplied_num = multiply_num(input_num) is_ten = multiplied_num.is_equal(10) # Nums to map if input value equals 10 numbers = [1, 2, 3] added_nums = add_some_num.map( x = unmapped(input_num), y = numbers ) final_num = handle_value_error(input_num) ifelse( is_ten, added_nums, final_num ) summed_nums = sum_list(added_nums) final_num = merge(summed_nums, final_num) flow_state = map_viz.run() map_viz.visualize(flow_state=flow_state) ``` ## Environment *Any additional information about your environment* Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: "ZMQError: Interrupted system call" from RichIPythonWidget I've included a RichIPythonWidget in an Qt application I'm working on. Initially, the IPython kernel starts up and the widget connects and works without problems. However, when the main program calls QFileDialog my RichIPythonWidget throws an error: ''' Exception in thread Thread-1: Traceback (most recent call last): File "/usr/lib/python2.7/threading.py", line 551, in __bootstrap_inner self.run() File "/usr/local/lib/python2.7/dist-packages/IPython/zmq/heartbeat.py", line 47, in run zmq.device(zmq.FORWARDER, self.socket, self.socket) File "device.pyx", line 55, in zmq.core.device.device (zmq/core/device.c:811) ZMQError: Interrupted system call Followed by continuous "Kernel process is either remote or unspecified. Cannot restart." messages. ''' This may be related to #499 I'm using IPython 0.13 and pyzmq 2.2.0. 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 Qiskit/qiskit codebase. Here's the problem: commutative_cancellation removes repeated CX even though one is classically controlled ``` >> qc = qk.QuantumCircuit(3,2) >>> qc.h(0) <qiskit.circuit.instructionset.InstructionSet object at 0x12a19cc18> >>> qc.measure(0,0) <qiskit.circuit.instructionset.InstructionSet object at 0x12a19ccc0> >>> qc.cx(1,2) <qiskit.circuit.instructionset.InstructionSet object at 0x12a19ccf8> >>> qc.cx(1,2).c_if(qc.cregs[0], 0) <qiskit.circuit.instructionset.InstructionSet object at 0x12a19ccc0> >>> qc.measure([1,2],[0,1]) <qiskit.circuit.instructionset.InstructionSet object at 0x12a19ccf8> >>> print(qc) ┌───┐┌─┐ q_0: |0>┤ H ├┤M├───────────── └───┘└╥┘ ┌─┐ q_1: |0>──■───╫────■───┤M├─── ┌─┴─┐ ║ ┌─┴─┐ └╥┘┌─┐ q_2: |0>┤ X ├─╫──┤ X ├──╫─┤M├ └───┘ ║ └─┬─┘ ║ └╥┘ ║ ┌──┴──┐ ║ ║ c_0: 0 ══════╩═╡ ╞═╩══╬═ │ = 0 │ ║ c_1: 0 ════════╡ ╞════╩═ └─────┘ >>> print(qk.transpile(qc, optimization_level=2)) ┌───┐┌─┐ q_0: |0>┤ H ├┤M├─── └───┘└╥┘┌─┐ q_1: |0>──────╫─┤M├ ┌─┐ ║ └╥┘ q_2: |0>─┤M├──╫──╫─ └╥┘ ║ ║ c_0: 0 ══╬═══╩══╩═ ║ c_1: 0 ══╩════════ ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Feature-extraction pipeline to return Tensor # 🚀 Feature request Actually, to code of the feature-extraction pipeline `transformers.pipelines.feature-extraction.FeatureExtractionPipeline l.82` return a `super().__call__(*args, **kwargs).tolist()` Which gives a list[float] (or list[list[float]] if list[str] in input) I guess it's to be framework agnostic, but we can specify `framework='pt'` in the pipeline config so I was expecting a `torch.tensor`. Could we add some logic to return tensors ? # Motivation Features will be used as input of other models, so keeping them as tensors (even better on GPU) would be profitable. Thanks in advance for the reply, Have a great day. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Drawing initialize disordered in mpl drawer <!-- ⚠ 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**: 0.12.0.dev0+6b6170a - **Python version**: 3.6 - **Operating system**: Ubuntu 18.04 ### What is the current behavior? The box of 'initialize' is disordered. It gets outside of the circuit and overlaps with other gates. ![initialize-error](https://user-images.githubusercontent.com/51048173/71252473-1f210b00-234b-11ea-9746-6933f0acf3c7.png) ### Steps to reproduce the problem ```from qiskit import * from math import pi, sqrt import numpy as np vec = np.array([sqrt(1/2), 0, 0, sqrt(1/2)]) qc = QuantumCircuit(2) qc.initialize(vec, [0,1]) qc.u3(0.12,pi/2,pi/4,0) qc.draw(output="mpl") ``` ### What is the expected behavior? ### Suggested solutions Circuit marplot lib register and measurement on-top of each other <!-- ⚠ 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? If the circuit goes over two frames the second frame if it is a measurement the register and the value are on top of each other -- see figure. ![image](https://user-images.githubusercontent.com/15731369/79181843-58d6bf80-7ddb-11ea-934e-9f4cea88aaa2.png) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Update tests to use msvc setting Instead of Visual Studio Not necessary to migrate the whole test suite. Just add or update some tests to have better coverage of the new ``msvc`` compiler. There are already some tests that use it like ``test_locally_build_msvc_toolset()`` or ``test_toolchain_win_vs2017()``. The goal is to check relevant cases, like standard CMake build, and parameterize or add new tests. Only ``conan.tools`` new integrations Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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] cmake_find_package_multi generator should not enforce that certain buildtypes are used. ### Environment Details (include every applicable attribute) * Conan version: 1.26.1 ### Steps to reproduce (Include if Applicable) I'm using cmake-conan but i'd assume this is preproduceable with other means too. CMakeLists.txt has: ```cmake set(CMAKE_CONFIGURATION_TYPES "Debug;RelWithDebInfo") conan_cmake_run( CONANFILE ${ROOT_CONANFILE} BASIC_SETUP UPDATE CMAKE_TARGETS CONFIGURATION_TYPES "${CMAKE_CONFIGURATION_TYPES}" GENERATORS "cmake_find_package_multi" ``` ### Logs (Executed commands with output) (Include/Attach if Applicable) ``` -- Conan: Loading conanbuildinfo_multi.cmake CMake Error at build/conanbuildinfo_multi.cmake:3488 (message): No conanbuildinfo_release.cmake, please install the Release conf first Call Stack (most recent call first): cmake/conan.cmake:464 (include) cmake/conan.cmake:507 (conan_load_buildinfo) CMakeLists.txt:27 (conan_cmake_run) ``` ### Afterthoughts For me, it it feels like that FATAL_ERROR messages are not really necessary, conanbuildinfo_$buildtype.cmake files are generated based upon what user provides and if release or debug is not on that list, they shouldnt be enforced to be present. In my usecase, this would actually save a minute from initial cmake run on 1gb network and cache on fast m2 ssd. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: %%timeit should use minutes to format running time in long running cells I'm using `%%timeit -r1 -n1` to measure long running cells (30min+). Unfortunately `timeit` will only output seconds and if a cell run takes more than ten minutes it becomes cumbersome to read. It would be nice if `timeit`could gain a 'min' unit... Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: cppstd in settings.yml was not updated when upgrading to 1.4 I've just upgraded to Conan 1.4 and `settings.yml.new` has this: cppstd: [None, 98, gnu98, 11, gnu11, 14, gnu14, 17, gnu17] I expected to see `20` and `gnu20` there. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Use of python_requires with enabled short_paths fails In Windows conan fails when a recipe uses `python_requires` and `short_paths = True` at the same time. To reproduce the issue, it's enough to just add `short_paths = True` into the consumer conanfile of the `python_requires` example. Conan will end with ``` ERROR: Error while trying to get recipe sources for pyreq/version@user/channel. No remote defined ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Error with RZXCalibrationBuilder circuit being combined with other circuits <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**:0.17.0 - **Python version**:3.9.1 - **Operating system**:macOS Catalina ### What is the current behavior? When combining a regular QuantumCircuit with a calibrated circuit, the calibrated circuit information is lost and the default gate is used instead ### Steps to reproduce the problem from qiskit import IBMQ,QuantumCircuit,schedule,transpile from qiskit.transpiler import PassManager from qiskit.transpiler.passes import TemplateOptimization from qiskit.transpiler.passes.scheduling import RZXCalibrationBuilder, rzx_templates qc = QuantumCircuit(2) qc.rzx(0.1,0,1) pass_ = TemplateOptimization(**rzx_templates(['zz2'])) qc_cal = PassManager(pass_).run(qc) pass_ = RZXCalibrationBuilder(backend) qc_cal = PassManager(pass_).run(qc_cal) qc2 = QuantumCircuit(2) qc2 +=qc_cal print (schedule(transpile(qc,backend),backend).duration) print (schedule(transpile(qc_cal,backend),backend).duration) print (schedule(transpile(qc2,backend),backend).duration) ### What is the expected behavior? The scheduled circuit duration should be the same for all three schedules. ### 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 Qiskit/qiskit codebase. Here's the problem: Gate cswap does not behave as expected <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations - **Qiskit (Python SDK) version**: 0.5.6 - **Python version**: 3.6.5 - **Operating system**: Docker container based on Ubuntu 18.04, host Fedora 28 (Linux 4.17.4) ### What is the current behavior? The CSWAP gate behaves as a CCX gate ### Steps to reproduce the problem ```python q = QuantumRegister(3, 'q') c = ClassicalRegister(3, 'c') circuit = QuantumCircuit(q, c) circuit.h(q[0]) circuit.x(q[1]) circuit.cswap(q[0], q[1], q[2]) circuit.measure(q, c) job = execute(circuit, 'local_qasm_simulator') print(job.result().get_counts(circuit)) # {'010': 522, '111': 502} ``` ### What is the expected behavior? The output states of that code snippet should be `010` and `101`. ### Suggested solutions The issue seems to be [here](https://github.com/Qiskit/qiskit-terra/blob/909728c61d094eaf33a706d513e9a84a53370a5a/qiskit/extensions/standard/cswap.py#L24). Can you help me debug this systematically and explain your reasoning?