[System] You are an expert software 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: under Windows, "ipython3 nbconvert "C:/blabla/first_try.ipynb" --to latex --post PDF" POST processing action fails because of a bad parameter Hello, The "one single step" option to create a ".pdf" from a .ipynb" fails on my windows python3 pc Nbconvert apparently tries compile ".TEX" result with "pdflatex .\first_try.tex" ==> It generates a bad behaviour of pdflatex, which picks "pdfTex" option instead of "PdfLatex". The working option, on my Windows PC and when I do it by hand, is not to put the ".\" "pdflatex first_try.tex" UPDATE : replacing ".\" per "./" seems also to be a solution. "pdflatex ./first_try.tex" Hint to the problem comes from here http://tex.stackexchange.com/questions/78178/miktex-how-to-run-pdflatex-from-cmd-prompt-on-windows-7-compared-to-windows-xp Details below. Sheers *\* instruction *\* ipython3 nbconvert "C:/blabla/first_try.ipynb" --to latex --post PDF" **\* (start of the output ) *** C:\Users\parent\Desktop\winpython\WinPython-32bit-3.3.2.1rc1\python-3.3.2>ipytho n3 nbconvert "C:/blabla//first_try.ipynb" --to latex --po st PDF [NbConvertApp] Using existing profile dir: 'C:\Users\parent\Desktop\winpytho n\WinPython-32bit-3.3.2.1rc1\settings\.ipython\profile_default' [NbConvertApp] Converting notebook C:/blabla/first_try.ipynb to latex [NbConvertApp] Support files will be in first_try_files\ [NbConvertApp] Loaded template latex_article.tplx [NbConvertApp] Writing 53680 bytes to .\first_try.tex [NbConvertApp] Building PDF: `pdflatex .\first_try.tex` This is pdfTeX, Version 3.1415926-2.4-1.40.13 (TeX Live 2012/W32TeX) restricted \write18 enabled. entering extended mode ! Undefined control sequence. <_> .\first _try.tex ? *_\* (end of the output ) *** Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: clang 6.x warning when using precompiled header input with .h extension If my precompiled header ends with ".h", clang assumes the input type is `c-header`, but since Clang is being invoked as `clang++` it knows it needs to treat it as a `c++-header`, but it complains about it: ``` clang-6.0: warning: treating 'c-header' input as 'c++-header' when in C++ mode, this behavior is deprecated [-Wdeprecated] ``` It looks like meson needs to be adding `-x c++-header` to the compile command for the precompiled header, since it already does know the what language the precompiled header is for anyway. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: `np.asarray` defaults to `order='K'`, not `'C'`, as docstring suggests ## Documentation Docstring for `np.asarray` states that the `order` keyword argument defaults to `'C'`. However, the default behavior corresponds to `'K'`. This stems directly from the fact that the implementation of `np.asarray` simply passes its arguments to `np.array` whose docstring clearly states that the default `order='K'`. https://numpy.org/doc/stable/reference/generated/numpy.asarray.html https://numpy.org/doc/stable/reference/generated/numpy.array.html I suggest that the current behavior should be preserved - it is likely that users expect `np.asarray` to copy data only if absolutely necessary. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: fig up and fig run should start dependencies when you specify a specific service `web` links to `db`. ``` $ fig up web $ fig run web ./manage.py shell ``` These things should start the `db` service. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: [helm] dagit command overrides ## Use Case To be able to for example, set `--path-prefix` in the `dagit` invocation to allow it to be hosted on a non `/` path Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [runtimeconfig] typo: "config.get_variable(...)" https://github.com/GoogleCloudPlatform/google-cloud-python/blob/bee32c0ae68b1e6cf224f9017c758a8e31e8be83/runtimeconfig/google/cloud/runtimeconfig/config.py#L190 [runtimeconfig] Should be "client.config(...)" not "client.get_config(...) https://github.com/GoogleCloudPlatform/google-cloud-python/blob/bee32c0ae68b1e6cf224f9017c758a8e31e8be83/runtimeconfig/google/cloud/runtimeconfig/config.py#L189 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: BUG: dtype repr of subclasses of np.void throw an exception This one is on me, I think, in #10602. I wasn't aware this was legal: ```python >>> np.__version__ '1.13.3' >>> class Custom(np.void): pass >>> np.dtype(Custom) dtype('V') ``` ```python >>> np.__version__ '1.16.0.dev0+7af8e10' >>> class Custom(np.void): pass >>> np.dtype(Custom) RuntimeError: Internal error: NumPy dtype unrecognized type number ``` Not sure if this affects 1.15.0 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 docker/compose codebase. Here's the problem: deploy options dropped running docker-compose config I'm having a strange problem running `docker-compose config` on a project. I use the `config` command to combine multiple Compose files together for deployment using `docker stack deploy --compose-file …`. For some reason, when I run `config` on this project, Docker Compose is dropping the `deploy` options on the services. [monitoring.zip](https://github.com/docker/compose/files/790739/monitoring.zip) The monitoring project consists of three Compose files, specified in `.env`. Running `docker-compose config` in this directory produces a config with the `deploy` options missing. I'm using Docker Compose 1.11.1. ``` → monitoring git:(monitoring-stack) ✗ docker-compose --version docker-compose version 1.11.1, build 7c5d5e4 ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Upgrading version to 0.6.0. Using last release PR (#813) as a template. consolidate metadata methods impl in storage.Key and storage.Bucket Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Qtconsole Unicode repr mojibake IPython 3.1.0 Qtconsole under Python 2.7.9 (win32): ``` python In [1]: import pandas In [2]: pandas.DataFrame({'spam': [u'sp\xe4m']}) Out[2]: spam 0 spÃ¤m ``` As opposed to the plain IPython shell: ``` python In [2]: pandas.DataFrame({'spam': [u'sp\xe4m']}) Out[2]: spam 0 späm ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Job executing problem on RBPi with Raspbian Stretch in _parallel.py ### Informations - **Qiskit Terra version**: 0.6.1 - **Python version**: 3.6 - **Operating system**: Raspbian Stretch ### What is the current behavior? When trying to execute job on my Raspberry Pi B I get following error in _parallel.py: "... _parallel.py", line 109, in parallel_map if platform.system() != 'Windows' and num_processes > 1 \ TypeError: '>' not supported between instances of 'NoneType' and 'int' From what I understand initialization of num_processes (or rather it's default value - CPU_COUNT = local_hardware_info()['cpus']) is a problem on selected os. ### Steps to reproduce the problem Try to execute a job on Raspbian Stretch on RBPi. ### What is the expected behavior? The job gets executed. ### Suggested solutions Check if num_processes is an initialized int before comparison. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Avoid text "failed" when solving environment fails I recommend avoiding the term "failed" when we try `current_repodata.json` and then fall back to `repodata.json`. I wonder if this might be better replaced with "failed. Retrying" or something similar that says "we're going to try something else now instead" ``` (base) mrocklin@dgx15:~$ conda install cudatoolkit Collecting package metadata (current_repodata.json): done Solving environment: failed # <<<------ this might scare users Collecting package metadata (repodata.json): done Solving environment: / ``` Just a thought, please ignore if this isn't appropriate. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: make REVOKES_MAX and REVOKE_EXPIRES configurable Values of REVOKE_EXPIRES and REVOKES_MAX in worker/state.py are hardcoded. This should be configurable. Some of us really needed to change this. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Calling `synth(registerless=False)` on a classical function synth labels the qubits wrongly ### Environment - **Qiskit Terra version**: 0.23.0.dev0+dcd7bea - **Python version**: 3.9 ### What is happening? In https://github.com/Qiskit/qiskit-terra/pull/9337#discussion_r1067055542 @Cryoris noticed that `classical_function` synthesis labels the qubits in the reversed order. ### How can we reproduce the issue? : ```python from qiskit.circuit.classicalfunction import classical_function from qiskit.circuit.classicalfunction.types import Int1 @classical_function def grover_oracle(a: Int1, b: Int1, c: Int1) -> Int1: return (a and b and not c) quantum_circuit = grover_oracle.synth(registerless=False) print(quantum_circuit.draw()) ``` ``` c: ──■── │ b: ──■── │ a: ──o── ┌─┴─┐ return: ┤ X ├ └───┘ ``` ### What should happen? in that example, the open control is on `c`, not on `a`. ### 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: Validation every epoch with non-finite dataloader ## 🚀 Feature <!-- A clear and concise description of the feature proposal --> Providing a way to do validation every epoch with non-finite (`__len__` not implemented) dataloaders. ### Motivation <!-- 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 --> Doing validation every epoch is a natural choice, and with finite dataloader you can do it easily by setting `val_check_interval=1.0`. However, with non-finite dataloader you cannot set `val_check_interval` to be float. There's no simple way to work around it yet. ### Pitch <!-- A clear and concise description of what you want to happen. --> There can be several way to make it happen. One solution on top of my head is to let `val_check_interval` to be `None`. if it is none, just do the validation according to the number of `check_val_every_n_epoch` at the end of every epoch. ### Alternatives <!-- A clear and concise description of any alternative solutions or features you've considered, if any. --> Alternatively, you can let the user set `val_check_interval` to be 1.0 even with non-finite dataloaders. Anything below 1.0 would be invalid but only 1.0 can be valid. If it is 1.0 then do the validation according to the number of `check_val_every_n_epoch` at the end of every epoch. ### Additional context <!-- Add any other context or screenshots about the feature request here. --> Not all dataloaders without `__len__` implemented are infinite dataloaders. Some just cannot decide length in advance. With these dataloaders the concept of 'epoch' is still valid. Pytorch-lightning needs to serve this kind of dataloaders better. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: add proper docstrings and documentation to refguide-check `tools/refguide-check.py` needs work documenting the functions. xref gh-14732. This file is not shipped with NumPy and does not appear on the numpy.org website, but still should be properly 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 jupyterlab/jupyterlab codebase. Here's the problem: Add helper for Windows on `jupyter labextension develop` symlink is not allowed by default on Windows. So that line will failed https://github.com/jupyterlab/jupyterlab/blob/136d2ec216ebfc429a696e6ee75fee5f8ead73e2/jupyterlab/federated_labextensions.py#L113 But on Windows 10 with Python >= 3.8, users can activate the developer mode to allow them. https://docs.python.org/3/library/os.html#os.symlink https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development What about updating the documentation to point that out and maybe catch the OSError to print a more user friendly error in such 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 conda/conda codebase. Here's the problem: Purging the ".trash" folder. OS: Windows. When updating an environment, a snapshot of the environment get stored in the ```[miniconda]\pkgs\.trash``` Is there a way to clean up this trash directory with a ```conda``` command? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: New in NumPy 1.14: failures in PyTables In the following snippet: ```python import numpy as np data_proper = [(456, b'dbe', 1.2), (2, b'ded', 1.3)] data_improper = [[456, b'dbe', 1.2], [2, b'ded', 1.3]] descr = [('f0', '<i4'), ('f1', 'S3'), ('f2', '<f8')] dtype = np.dtype((np.record, descr)) np.array(data_improper, dtype=dtype) ``` Execution of the last line in 1.13 used to raise: ``` TypeError: a bytes-like object is required, not 'int' ``` which allowed the logic in [numpy/core/records.py#L676](https://github.com/numpy/numpy/blob/master/numpy/core/records.py#L676) to recover and reinterpret the line as `np.array(data_proper, dtype=dtype)`. The trouble is that in NumPy 1.14 ``` ValueError: invalid literal for int() with base 10: b'dbe' ``` is being raised instead, which results in the failure. This is a gist of the issue behind numerous test failures in pyTables when used with NumPy 1.14. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: Batching rule for 'gather' not implemented Here is a minimal example to reproduce the error. ``` import jax import jax.numpy as np a = np.ones((3, 3)) def f(a): inds = np.arange(a.shape[0]) return a[inds] jax.vmap(f)(a) ``` `NotImplementedError: Batching rule for 'index_take' not implemented` So if you want to use `vmap`, the only form of indexing you can do is scalar indexing. Am I interpreting this correctly? For me that's a huge limitation. I would try to implement the batch rule but I think it will be complicated and I have a workaround: `np.stack([a[ind] for ind in inds])` instead of `a[inds]`. With an ideal JIT compiler those two would be equivalent, but my guess is that the performance of this workaround is not optimal. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Backend monitor displays incorrect information <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - master - any - any ### What is the current behavior? Qubit anharmonicities, in GHz, appear in the Readout Properties column of the Backend Monitor generated by the code in https://github.com/Qiskit/qiskit-terra/blob/master/qiskit/tools/jupyter/backend_monitor.py. This is true at least for backends that are currently reporting anharmonicities, which may not be all of them yet, but will be soon. ### Steps to reproduce the problem In a Jupyter notebook, type `provider.get_backend('ibmq_montreal')` Observe issue as below: ![image](https://user-images.githubusercontent.com/27903437/91843733-3aefe700-ec24-11ea-8bc3-7abf478b16a2.png) ### What is the expected behavior? Readout properties column should show readout properties ### Suggested solutions -Fix the code near line 282 of the mentioned file to not hard-code the array indices of different qubit properties in the qubit_data array. -Consider adding a column for anharmonicity to the table (or not). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Facing memory issue while loading the bigquery table data through python. Hi, while trying to fetch the data of 1.8 M rows from Bigquery to local machine, we are getting Memory Error. Import pandas_gbq as pgbq df= pgbq.read_gbq(sql, dialect) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [DO NOT MERGE] Container: new 'parent'/'name' arguments (non-breaking), timeouts, docstring updates via synth. This PR was generated using Autosynth. :rainbow: Here's the log from Synthtool: ``` synthtool > Cloning googleapis. synthtool > Running generator for google/container/artman_container_v1.yaml. synthtool > Ensuring dependencies. synthtool > Pulling artman image. latest: Pulling from googleapis/artman Digest: sha256:229601142daed005bf56fbaa21a02cf7aa0b261b57677d38306f8013e536de7a Status: Image is up to date for googleapis/artman:latest synthtool > Generated code into /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/container-v1. synthtool > Replaced '(^.*$\\n)*' in google/cloud/container_v1/proto/cluster_service_pb2.py. synthtool > Cleaned up 0 temporary directories. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: optimization_level=3 triggers error in unrolling _Originally posted by @itoko in https://github.com/Qiskit/qiskit-terra/issues/2339#issuecomment-490103445_ The follow input triggers and an issue in the unroller. ```python from qiskit import QuantumCircuit, QuantumRegister, QiskitError from qiskit.compiler import transpile from qiskit.transpiler import CouplingMap q = QuantumRegister(2) qc = QuantumCircuit(q) qc.cx(q[0], q[1]) qc.cx(q[0], q[1]) coupling = CouplingMap([[0, 1]]) compiled = transpile(qc, coupling_map=CouplingMap([[0, 1]]), optimization_level=3) print(compiled) ``` ``` QiskitError: "Cannot unroll the circuit to the given basis, ['cx', 'cx']. No rule to expand instruction U." ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: UnicodeDecodeError in bash_operator.py Hi, I see a lot of these errors when running `airflow backfill` : ``` Traceback (most recent call last): File "/usr/lib/python2.7/logging/__init__.py", line 851, in emit msg = self.format(record) File "/usr/lib/python2.7/logging/__init__.py", line 724, in format return fmt.format(record) File "/usr/lib/python2.7/logging/__init__.py", line 467, in format s = self._fmt % record.__dict__ UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 13: ordinal not in range(128) Logged from file bash_operator.py, line 72 ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Invalid formatting of libdir/includedir in pkg_config generator [bug] Version: conan-1.2.3 OS: Linux https://github.com/conan-io/conan/blob/ac25c8994878706bac23efd009ae74bc294c1add/conans/client/generators/pkg_config.py#L28-L36 `pkg_config` generator doesn't check if libdir or includedir are absolute paths which leads to the following (invalid) `.pc` being generated for `boost_math/1.66.0@bincrafters/stable`: ``` prefix=/home/user/.conan/data/boost_math/1.66.0/bincrafters/stable/package/937af278b1c9d86290dddaf1322dc99fb7d75862 libdir=${prefix}//home/user/.conan/data/boost_level8group/1.66.0/bincrafters/stable/package/afc149253b16bde7d64e527e0dbfa27b203330c8/math/lib includedir=${prefix}//home/user/.conan/data/boost_level8group/1.66.0/bincrafters/stable/package/afc149253b16bde7d64e527e0dbfa27b203330c8/math/include ... ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Error when fine tuning GPT2 on GPU An error occur when training with `run_language_modeling.py` file (Ubuntu 18, pytorch with cuda compiled), while the error does not occur on Macbook without the GPU ``` File "train.py", line 283, in <module> main() File "train.py", line 247, in main trainer.train(model_path=model_path) File "/home/antonio/anaconda3/lib/python3.7/site-packages/transformers/trainer.py", line 518, in train for step, inputs in enumerate(epoch_iterator): File "/home/antonio/anaconda3/lib/python3.7/site-packages/tqdm/_tqdm.py", line 1017, in __iter__ for obj in iterable: File "/home/antonio/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 346, in __next__ data = self._dataset_fetcher.fetch(index) # may raise StopIteration File "/home/antonio/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 47, in fetch return self.collate_fn(data) File "/home/antonio/anaconda3/lib/python3.7/site-packages/transformers/data/data_collator.py", line 90, in __call__ labels[labels == self.tokenizer.pad_token_id] = -100 TypeError: eq() received an invalid combination of arguments - got (NoneType), but expected one of: * (Tensor other) didn't match because some of the arguments have invalid types: (NoneType) * (Number other) didn't match because some of the arguments have invalid types: (NoneType) ``` Command and arguments used to run: ```bash python train.py \ --output_dir ckpts/prova \ --model_type=gpt2 \ --model_name_or_path=gpt2 \ --do_train \ --train_data_file data.train \ --num_train_epochs 1 \ --per_device_train_batch_size 1 \ --gradient_accumulation_steps 1 \ --save_steps 200 ``` Any idea on how to solve this? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Broken link in Documentation ### System Info @sgugger Where I started https://huggingface.co/docs/transformers/v4.26.1/en/main_classes/text_generation#transformers.GenerationMixin.contrastive_search What doesnt exist https://huggingface.co/docs/transformers/v4.26.1/en/main_classes/generation_strategies https://huggingface.co/docs/transformers/main/en/main_classes/generation_strategies ### Who can help? _No response_ ### 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 Go to the links above ### Expected behavior The pages would exist. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: SIGINT handler returns 0, should return non-zero Can you return a non-zero exit code when SIGINT is passed in? I don't think it's normal for a program to return 0 when ctrl+c is pressed. I don't know the SIGBREAK signal, but perhaps the same applies there as well. https://github.com/conan-io/conan/blob/develop/conans/client/command.py#L1216 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Relax version constraint for azure-storage packages in dagster-azure ## Use Case In our team we make heavy use of apache arrow for reading / writing parquet files. We want to implement some io_managers, using arrow to read data from ADLS storage. For this we [need](https://arrow.apache.org/docs/python/filesystems.html#using-fsspec-compatible-filesystems) to use [adlfs](https://github.com/dask/adlfs/), which requires `azure-storage-blob>=12.5`, while `dagster-azure` only allows `12.3.*`. ## Ideas of Implementation Relax version constraint in dagster-azure package. ## Additional Info We tested dagster-azure locally with different versions of both azure storage packages required, and have encountered no issues. --- #### Message from the maintainers: Excited about this feature? Give it a :thumbsup:. We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: How to use jax.hessian? I'm using this snippet from the README ``` from jax import jit, jacfwd, jacrev def hessian(fun): return jit(jacfwd(jacrev(fun))) ``` combined with the "getting started with pytorch data loaders" colab. How do I compute and use the hessian of this neural network? So far I have tried: 1. Naive: `hessian_loss = hessian(loss)(params, x, y)` (`TypeError: jacfwd() takes 2 positional arguments but 4 were given`) 2. Naive2: `hessian_loss = hessian(loss)((params, x, y))` (takes a long time with a small network and then returns `AttributeError: 'PyLeaf' object has no attribute 'node_type'`) 3. FromTheTests: `hessian_loss = hessian(lambda params_: loss(params_, x, y)(params)` (`AttributeError: 'PyLeaf' object has no attribute 'node_type'`) All I really need is to compute the eigenvalues and eigenvectors of this Hessian. Note: `repr(params) = [(DeviceArray{float32[10,784]}, DeviceArray{float32[10]})]` Some ideas that I have: 1. Should I re-write the code to use only flat arrays? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Gates that can be added with their own QuantumCircuit method don't have a link to it in their Circuit Library pages The gates that can be added with their own `QuantumCircuit` method, don't have any link to it in their [Circuit Library](https://qiskit.org/documentation/apidoc/circuit_library.html) page. For example, in the `UGate` [library page](https://qiskit.org/documentation/stubs/qiskit.circuit.library.UGate.html#qiskit.circuit.library.UGate) there is no reference to the `QuantumCircuit.u` [page](https://qiskit.org/documentation/stable/0.35/stubs/qiskit.circuit.QuantumCircuit.u.html). I think they should be added so users can add those gates to their circuits more easily. - [x] UGate - [x] PhaseGate - [x] IGate - [x] XGate - [x] YGate - [x] ZGate - [x] HGate - [x] SGate - [x] SdgGate - [x] TGate - [x] TdgGate - [x] SXGate - [x] SXdgGate - [x] CSXGate - [x] RGate - [x] RXGate - [x] RYGate - [x] RZGate - [x] CXGate - [x] CYGate - [x] CZGate - [x] CHGate - [x] CRXGate - [x] CRYGate - [x] CRZGate - [x] CPhaseGate - [x] CUGate - [x] SWAPGate - [x] CCXGate - [x] RCCXGate - [x] RC3XGate - [x] MCXGate - [x] CSWAPGate - [x] iSWAPGate - [x] DCXGate - [x] ECRGate - [x] RXXGate - [x] RYYGate - [x] RZZGate - [x] RZXGate Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: --gpus flag with add_argparse_args bug ## 🐛 Bug When using ``` parser = Trainer.add_argparse_args(parser) args = parser.parse_args() trainer = Trainer.from_argparse_args(args) ``` if the user does not provide the --gpus flag, the code allocates some memory on the GPU and reports GPU available: True, used: True but does not use this GPU. This issue has been discovered in bolts: 1. https://github.com/PyTorchLightning/pytorch-lightning-bolts/issues/35 2. https://github.com/PyTorchLightning/pytorch-lightning-bolts/issues/124 ### To Reproduce Steps to reproduce the behavior: Use the following method to create the trainer object ``` parser = Trainer.add_argparse_args(parser) args = parser.parse_args() trainer = Trainer.from_argparse_args(args) ``` and don't pass the --gpus flag. ### Expected behavior If --gpus flag is not provided in the script call, then Lightning should report GPU available: True, used: False with a warning, and not allocate any memory on the GPU. This way, the user can set the --gpus flag if they have missed out on 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 conda/conda codebase. Here's the problem: Error in PackageNotFoundError Commit https://github.com/conda/conda/commit/bb3e54d8a8be3a51de0601206faf20d82b3f0dbb broke PackageNotFoundError for v4.3.14 Expected: ```bash (root) [root@4cd1258efdd1 ~]$ conda install perl Fetching package metadata ......... PackageNotFoundError: Package not found: '' Package missing in current linux-64 channels: - perl Close matches found; did you mean one of these? perl: petl You can search for packages on anaconda.org with anaconda search -t conda perl You may need to install the anaconda-client command line client with conda install anaconda-client ``` What actually happens: ```bash (root) [root@4cd1258efdd1 ~]$ conda update conda -y Fetching package metadata ......... Solving package specifications: . Package plan for installation in environment /conda: The following packages will be UPDATED: conda: 4.3.11-py27_0 --> 4.3.14-py27_0 conda-4.3.14-p 100% |###################################################################################################################################################################| Time: 0:00:00 6.61 MB/s (root) [root@4cd1258efdd1 ~]$ conda install perl Fetching package metadata ......... PackageNotFoundError: Package not found: Conda could not find ' ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: concatenate fails when axis = None when running documentation example I'm getting a error: ``` import jax.numpy as np a = np.array([[1, 2], [3, 4]]) b = np.array([[5, 6]]) np.concatenate((a, b), axis=None) ``` Error: ``` --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-37-28d5f29078d3> in <module>() 5 np.concatenate((a, b.T), axis=1) 6 ----> 7 np.concatenate((a, b), axis=None) 8 1 frames /usr/local/lib/python3.6/dist-packages/jax/numpy/lax_numpy.py in concatenate(arrays, axis) 1996 if ndim(arrays[0]) == 0: 1997 raise ValueError("Zero-dimensional arrays cannot be concatenated.") -> 1998 axis = _canonicalize_axis(axis, ndim(arrays[0])) 1999 arrays = _promote_dtypes(*arrays) 2000 # lax.concatenate can be slow to compile for wide concatenations, so form a /usr/local/lib/python3.6/dist-packages/jax/lax/lax.py in _canonicalize_axis(axis, num_dims) 5490 def _canonicalize_axis(axis, num_dims): 5491 """Canonicalize an axis in [-num_dims, num_dims) to [0, num_dims).""" -> 5492 axis = operator.index(axis) 5493 if not -num_dims <= axis < num_dims: 5494 raise ValueError( TypeError: 'NoneType' object cannot be interpreted as an integer ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: IOStream IP address configurable Hi, I am running in an environment where I can not bind to 127.0.0.1 ... possible to make this configurable? https://github.com/ipython/ipython/blob/master/IPython/kernel/zmq/iostream.py#L68 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Notebook: Changing base_project_url results in failed WebSockets call Setting `base_project_url` within ipython_notebook_config.py results in failed websockets calls, as the websocket url is not updated with the `base_project_url` prefix. I believe the issue is a result of line 135 in kernel.js. ``` this.ws_host = parsed.protocol + "//" + parsed.host; ``` Which is then used to construct the WebSocket connection. Existing notebooks can be properly viewed after ignoring the modal complaining about the lack of a websocket connection. System info: ``` {'codename': 'Work in Progress', 'commit_hash': '5258b9e', 'commit_source': 'installation', 'default_encoding': 'UTF-8', 'ipython_path': '/home/ipython/.virtualenvs/ipython/local/lib/python2.7/site-packages/IPython', 'ipython_version': '2.0.0-dev', 'os_name': 'posix', 'platform': 'Linux-3.5.0-45-generic-i686-with-Ubuntu-12.04-precise', 'sys_executable': '/home/ipython/.virtualenvs/ipython/bin/python', 'sys_platform': 'linux2', 'sys_version': '2.7.3 (default, Sep 26 2013, 20:08:41) \n[GCC 4.6.3]'} ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Opflow fails ((Z^I)@(X^X))@(Plus^Plus), but works with Aqua operators opflow With Aqua and Terra latest versions from main branches: Here is what I find. Using Aqua operators, just looking at the first part as we see a difference that helps understand the final failure ``` >>> ((Z^I)@(X^X)) PauliOp(Pauli('YX'), coeff=1j) ``` using Terra opflow ``` >>> ((Z^I)@(X^X)) PauliOp(Pauli('iYX'), coeff=1.0) ``` Now Aqua - adding the `@(Plus^Plus)` to the expression to complete it as per the failure ``` >>> ((Z^I)@(X^X))@(Plus^Plus) CircuitStateFn(<qiskit.circuit.quantumcircuit.QuantumCircuit object at 0x7fbb1947ada0>, coeff=1j, is_measurement=False) ``` where using Terra opflow it fails ``` qiskit/opflow/primitive_ops/pauli_op.py", line 323, in to_circuit gate = PAULI_GATE_MAPPING[pauli_str] KeyError: 'i' ``` this is in some to_circuit logic where the i is not managed since it seems to only expect X,Y,Z I in the mapping and in mapping each element it goes wrong. In Aqua it was just XY with the i being part of coeff. Now it moved to iXY and the to_circuit fails. As originally reported on Qiskit Slack aqua channel here https://qiskit.slack.com/archives/CB6C24TPB/p1623208786231500 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Validate the format of `expose` The other day I expend some hours trying to investigate why my docker container was not exposing some ports. And understanding that was a docker problem, and not an app problem. In dockerfile there is **expose** to say the ports, but **ports** in docker-compose. Ok, there is a change. But why cannot say that "warning, expose syntax is not valid in docker-compose, you meant ports?" or something like this? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: dns.zone.ManagedZone does not update dns_name during reload When calling `ManagedZone.reload`, the zone's `dns_name` is not updated from the returned response. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: ``CVaRMeasurement`` does not check ``PauliSumOp``s efficiently for diagonality ### Environment - **Qiskit Terra version**: main @ fe5acd4d1 - **Python version**: 3.7 - **Operating system**: macOS ### What is happening? The CVaR measurement is only defined for diagonal observables and the code checks that. It tries to do that efficiently (meaning w/o a conversion to a matrix) but that didn't cover the case for `PauliSumOp`s. Luckily, there's a check in place that raises an error if a large operator is converted to a matrix so this expensive calculation doesn't happen silently. This issue was seen with the Qiskit QAOA Runtime since there CVaR expectation makes sense to use _and_ we have large qubit numbers. ### How can we reproduce the issue? ```python from qiskit.opflow import PauliSumOp, CVaRMeasurement op = PauliSumOp.from_list([("Z" * 30, 1)]) _ = CVaRMeasurement(op) ``` ### What should happen? `PauliSumOp`s should be checked efficiently. ### Any suggestions? See upcoming 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 celery/celery codebase. Here's the problem: EagerResult doesn't seem to poplate name Sometimes I run my tasks with `CELERY_TASK_ALWAYS_EAGER` to aid debugging, it seems like the `name` property of EagerResult isn't populated, which makes this sort of investigation more tricky. I have some code I use to list my tasks in a django app, and part of this is to grab the task name. When running eagerly, the EagerResult task status is SUCCESS, so I would have expected `name` to be available at this point. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: extract_all_objects malfunctions with respect to vala files `extract_all_objects` seems to malfunction when used on Vala projects. The extracted objects use the naming scheme of `object.vala.o`, while the generated ninja files are `object.c.o`. Attempting to use extracted objects with vala builds therefore fails. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [qtconsole] %hist doesn't show anything in qtconsole I have built rc2 on Windows XP and while the qtconsole works fine for the most part, %hist does not show any history in the qtconsole. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add BackendV2 support for `transpiler._parse_inst_map()` ### What should we add? BackendV2 has removed `defaults` attribute from backend and `transpiler._parse_inst_map()` needs to be updated to support BackendV2. https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/compiler/transpiler.py#L666-L676 ```python def _parse_inst_map(inst_map, backend, num_circuits): # try getting inst_map from user, else backend if inst_map is None: if hasattr(backend, "defaults"): inst_map = getattr(backend.defaults(), "instruction_schedule_map", None) # inst_maps could be None, or single entry if inst_map is None or isinstance(inst_map, InstructionScheduleMap): inst_map = [inst_map] * num_circuits return inst_map ``` This was discovered in #7643. Created as a issue with separate PR to follow by @mtreinish https://github.com/Qiskit/qiskit-terra/pull/7643/files/474e529c55e8198493512a02c4df52966ad83063#r823983767 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: python string encoding woes The crux of the matter is (with print debugging): 'ascii' codec can't decode byte 0xc3 in position 91: ordinal not in range(128) Meson encountered an error in file subprojects/gst-plugins-base/gst-libs/gst/pbutils/meson.build, line 20, column 0: Could not read input file /home/matt/Projects/gst/gst-all/subprojects/gst-plugins-base/gst-libs/gst/pbutils/gstpluginsbaseversion.h.in. The 91st character in that file is a ü. The only difference between this build and all my previous builds is that I'm attempting to build over an ssh connection here. I've worked around it for now by using codecs.open(, 'utf-8') instead of plain open() but this still begs the question, what are we going to do about this (and any other string encoding issue)? We can replace all the instances of open() with codecs.open() which should cover the majority of use cases however there are probably some files that won't work with a utf-8 encoding. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: StopIteration Error when running beam search for squad 2.0 I'm using `huggingface/transformers-pytorch-gpu:4.3.0` on Ubuntu DGX1 server with 8 V100 GPUs. `NVIDIA-SMI 418.126.02 Driver Version: 418.126.02 CUDA Version: 10.1` When running the step in `examples/question_answering/README.md` for beam search for squad 2.0 ``` python run_qa_beam_search.py \ --model_name_or_path xlnet-large-cased \ --dataset_name squad_v2 \ --do_train \ --do_eval \ --version_2_with_negative \ --learning_rate 3e-5 \ --num_train_epochs 4 \ --max_seq_length 384 \ --doc_stride 128 \ --output_dir ./wwm_cased_finetuned_squad/ \ --per_device_eval_batch_size=2 \ --per_device_train_batch_size=2 \ --save_steps 5000 ``` Error ``` StopIteration: Caught StopIteration in replica 0 on device 0. Original Traceback (most recent call last): File "/usr/local/lib/python3.6/dist-packages/torch/nn/parallel/parallel_apply.py", line 61, in _worker output = module(*input, **kwargs) File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/usr/local/lib/python3.6/dist-packages/transformers/models/xlnet/modeling_xlnet.py", line 1978, in forward start_logits = self.start_logits(hidden_states, p_mask=p_mask) File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/usr/local/lib/python3.6/dist-packages/transformers/modeling_utils.py", line 1241, in forward if next(self.parameters()).dtype == torch.float16: StopIteration ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: The celery document has a mistake about crontab ## about crontab the document in this link about crontab simple. http://docs.celeryproject.org/en/master/userguide/periodic-tasks.html **crontab(0, 0, day_of_month='2-30/3')** Execute on every even numbered day. shuld be **crontab(0, 0, day_of_month='2-30/2')** Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Make new conditional API compatible with the imperative API ## Current behavior *Please describe how the feature works today* In #2443, @jcrist added a new conditional API to Prefect, which is 💯. However, at this moment, it can only be used with the functional API (as it [requires](https://github.com/PrefectHQ/prefect/blob/12662a3a821b52dca0c0d39ced1bbbbba0674a85/src/prefect/tasks/control_flow/case.py#L87) a `flow` in the Prefect context). ## Proposed behavior *Please describe your proposed change to the current behavior* The check for `case` in context currently [takes place](https://github.com/PrefectHQ/prefect/blob/12662a3a821b52dca0c0d39ced1bbbbba0674a85/src/prefect/core/task.py#L463) in `Task.bind()`, which is called by the functional API but not common imperative patterns like `Task.set_upstream()`, `Task.set_downstream()`, `Task.set_dependencies()`, `Flow.add_task()`, or `Flow.set_dependencies()`. I believe `Flow.add_task()` is the lowest-level API (called by all the others mentioned above) and consequently might be an opportune place to move the check for `case` in context. This way, adding a task to a flow while in a conditional block would automatically add it to the `case` class as well. Since the flow is (obviously) available when `Flow.add_task()` is called, it can be used inside the `case` context manager when calling `bind()` and `set_upstream()`. I think this would enable the following imperative syntax, while still using the existing case context managers: ``` Switch = Task() A = Task() B = Task() C = Task() f = Flow('imperative flow') switch = Switch() f.add_task(switch) with case(switch, 'foo'): f.add_task(A()) with case(switch, 'bar'): b = B() c = C() c.set_upstream(b, flow=f) ``` ## Example *Please give an example of how the enhancement would be useful* Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: No such file or directory: 'C:\\Program Files\\Meson\\mesonbuild\\scripts\\python_info.py' ### Discussed in https://github.com/mesonbuild/meson/discussions/11688
 Originally posted by **KyrietS** April 15, 2023 Hi, I tried compiling Cairo but when I ran `meson setup build/` I got an error: ``` meson.build:111:27: ERROR: <PythonExternalProgram 'python3' -> ['C:\\Program Files\\Meson\\meson.exe', 'runpython']> is not a valid python or it is missing distutils ``` Inside `build/meson-logs/meson-log.txt` I can see: ``` Program stderr: Traceback (most recent call last): File "mesonbuild\mesonmain.py", line 194, in run File "mesonbuild\mesonmain.py", line 149, in run_runpython_command File "runpy.py", line 288, in run_path File "runpy.py", line 252, in _get_code_from_file FileNotFoundError: [Errno 2] No such file or directory: 'C:\\Program Files\\Meson\\mesonbuild\\scripts\\python_info.py' ``` My specs: * Windows 11 * Python 3.11.3 * Meson 1.1.0
 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Trainer should run the test loop with the best weights when ModelCheckpoint is used ## 🚀 Feature <!-- A clear and concise description of the feature proposal --> ### Motivation <!-- 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 --> I noticed that even when `ModelCheckpoint` is used, `Trainer` by default runs the test loop with the last weights, not the best weights saved by `ModelCheckpoint`. I believe the sensible default here is to run the test loop with the best weights saved by `ModelCheckpoint`. ### Pitch <!-- A clear and concise description of what you want to happen. --> Now that `ModelCheckpoint` has a pointer to the best weights, `Trainer` can replace the last weights with the best weights before running the test loop automatically. ### Alternatives <!-- A clear and concise description of any alternative solutions or features you've considered, if any. --> Possibly, this could be another option to `Trainer`. I don't like this as much b/c this is the behavior most users would expect. ### 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 ipython/ipython codebase. Here's the problem: Improvement of `core.magic_arguments` example Currently, there is only a [very raw example](https://ipython.readthedocs.io/en/stable/api/generated/IPython.core.magic_arguments.html?highlight=%40magic_arguments.argumen#module-IPython.core.magic_arguments ) of using `magic_arguments` with custom cell magic. Therefore, I have the idea to add a second, more fleshed out example that might help people to easier understand and use cell magic arguments: ![image](https://user-images.githubusercontent.com/44469195/148220767-d59ad4ca-e713-434a-8241-c212580fba6b.png) Here is the code: ```py from IPython.core import magic_arguments from IPython.core.magic import register_cell_magic @magic_arguments.magic_arguments() @magic_arguments.argument( "--option", help=("Add an option here"), ) @magic_arguments.argument( "--style", default=None, help=("Add some style arguments"), ) @register_cell_magic def my_cell_magic(line, cell): """Cool cell magic""" args = magic_arguments.parse_argstring(my_cell_magic, line) print(args.style) print(args.option) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Ability to customize `Received task` message - [X] I have checked the [issues list](https://github.com/celery/celery/issues?q=is%3Aissue+label%3A%22Issue+Type%3A+Enhancement%22+-label%3A%22Category%3A+Documentation%22) for similar or identical enhancement to an existing feature. - [X] I have checked the [pull requests list](https://github.com/celery/celery/pulls?q=is%3Apr+label%3A%22Issue+Type%3A+Enhancement%22+-label%3A%22Category%3A+Documentation%22) for existing proposed enhancements. - [X] I have checked the [commit log](https://github.com/celery/celery/commits/master) to find out if the if the same enhancement was already implemented 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 # Brief Summary Currently `LOG_SUCCESS` and friends allows customizing the messages, but `Received task` is fixed. It would be good for this to be customizable and include the same values in `extra` (i.e. use `celery.app.trace.info` rather than `logging.info`). I was thinking something like this: ``` info('Received task: %s', { 'name': req.name, 'id': req.id, }) ``` # Design ## Architectural Considerations Should be a non-breaking change that only adds a customization point ## Proposed Behavior Add `LOG_RECEIVED` so it can be customized as well ## Proposed UI/UX N/A ## Diagrams N/A ## Alternatives None that I can think of Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: documentation build broken in head commit 0c0c1a161c84109 broke the documentation build: ``` HOME=$PWD/build PYTHONPATH=$PWD make -C docs html ... File "/usr/lib/python2.7/dist-packages/sphinx/util/__init__.py", line 201, in get_module_source loader = getattr(mod, '__loader__', None) File "/home/jtaylor/Packages/ipython/ipython/IPython/frontend.py", line 68, in __getattr__ raise ImportError('No module named %s' % obj) ImportError: No module named __loader__ ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Add JSON output options to install and create `--json` option for `conda create` and `conda install` would be nice for the sake of `conda_api` module. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: meson test -C builddir does not chdir before running tests This means that if there are tests that need to be passed filesystem arguments they will fail, since those arguments will be relative builddir. This is rather suprising since `ninja -C builddir` does chdir before running tests (since ninja does the chdir). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Rename and fix overfit_pct, val_percent_check and test_percent_check Fixes #1668 Fixes #1920 Fixes #830 ## Overfit - Removes `overfit_pct` - Adds `overfit_batches` which can be a float (%) or int (steps) - overfit now makes sure train, test and val splits are all the train step - sets shuffle=False in the train set ## limit_xxx_batches - removes `train_percent_check` and `val_percent_check` - replaces with `limit_train_batches` and `limit_val_batches` which can also be int (steps) or percent (float) ## docs + tests - adds tests to verify - updates docs @tullie these flag names make sense? ### TODO: also replace train_percent_check with limit_train_batches Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ConfigureEnvironment overwrites flags instead of augmenting C/CPPFLAGS mainly. Consider also the possibility to add UI so the user could add easily their own flags to the ConfigureEnvironment. Initially reported by @tru Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: "fig run" should support port forwarding Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: gcloud.storage.iterator.KeyDataIterator chunking is off-by-one 'get_headers' computes the "Range:" header as '_bytes_written' - '_bytes_written + CHUNK_SIZE': https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/iterator.py#L215 and the '_bytes_written' gets updated to bump by the size of the chunk the server returns. Consider the initial read, assuming a CHUNK_SIZE of 100: Range: bytes=0-100 Note that, per RFC2616. this will return up to 101 bytes (both bytes-position values are inclusive): http://www.w3.org/Protocols/rfc2616/rfc2616-sec14.html#sec14.35.1 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add a stabilizer_state to qiskit.quantum_info.states <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected behavior? Add a `stabilizer_state.py` to `qiskit.quantum_info.states` It should be a new class `StabilizerState` which is a `QuantumState` subclass based on the `Clifford` object, with further abstract methods for reset, measure, probabilities etc. (similar to Aer stabilizer simulator). I would like to be assigned on this issue - 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 googleapis/google-cloud-python codebase. Here's the problem: Migrate to pubsub API to v1 See https://github.com/GoogleCloudPlatform/gcloud-node/issues/699 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: CORS documentation missing setter https://googlecloudplatform.github.io/gcloud-python/stable/storage-buckets.html#gcloud.storage.bucket.Bucket.cors > Retrieve CORS policies configured for this bucket. It doesn't mention that it can also be set. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: `GlobalPhaseGate` generates an error when trying to generate `Statevector` ### Environment - **Qiskit Terra version**: 0.24.0rc1 - **Python version**: 3.10 - **Operating system**: MacOS Monterrey ### What is happening? `Statevector` class generates a `tuple index out of range` error when a quantum circuit includes an instance of the recently-added `GlobalPhaseGate`. ### How can we reproduce the issue? ```python from math import pi from qiskit import QuantumCircuit from qiskit.circuit.library import GlobalPhaseGate from qiskit.quantum_info import Statevector qc = QuantumCircuit(1) qc.append(GlobalPhaseGate(pi/2)) print(Statevector(qc)) ``` ### What should happen? The issue seems to be related to how the operator used to evolve the initial state is being generated. This operator uses the instruction `.to_matrix()` method, which for the `GlobalPhaseGate` results in a matrix of shape (1,1), which is basically an array containing the global phase being added. For example: ```python >>> from qiskit.circuit.library import GlobalPhaseGate >>> from math import pi >>> GlobalPhaseGate(pi/3).to_matrix() array([[0.5+0.8660254j]]) ``` For this to work correctly, the operator needs to be a diagonal matrix with the global phase value of shape (2^n_qubits, 2^n_qubits) instead of just the value itself. ### Any suggestions? I would volunteer to help with this, but if I am not mistaken, the `to_matrix()` method is inherited from the `Gate` class, so I can't think of an easy solution other than treating `GlobalPhaseGate` as a special 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 docker/compose codebase. Here's the problem: Remove `--allow-insecure-ssl` flag This flag became a no-op warning in 1.4. So there have been two full releases which warned about this deprecated flag. I think we can drop it as part of the 1.6 release. What do you think? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Implement new file-based storage types We should introduce a new storage class for storing flows on GitHub as python scripts. In addition, we should introduce a new kwarg on all storage classes specifying whether the flow is stored as bytes or as a python file. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] "conan install" detects the wrong compiler version with gcc 10 and fails I am trying to upgrade one of my projects to use gcc 10 so I can use some C++20 features, but I ran into some issues with Conan not wanting to cooperate with the newer gcc version. See this question for my initial findings: https://github.com/conan-io/conan/issues/6538 It turns out that even after I add "10" as a valid compiler version in "~/.conan/settings.yml" the "conan install" command still looks for the wrong version and fails saying that "1" is not a valid version. As a temporary workaround I am able to add "1" to the list of versions in "~/.conan/settings.yml" but there's definitely something wrong going on here. Once I add "1" it works. ### Environment Details (include every applicable attribute) * Operating System+version: Ubuntu 19.1.0 * Compiler+version: gcc 10.0.1 * Conan version: 1.22.1 * Python version: 2.7.17 ### Steps to reproduce (Include if Applicable) 1. Try to use Conan with a project that uses gcc 10 as the compiler. (currently to use gcc 10 it must be built from source here https://github.com/gcc-mirror/gcc) 2. Add version "10" as a valid compiler in "~/.conan/settings.yml" 3. Attempt to do "conan install" for the project (it will fail saying version "1" is not valid) ``` ERROR: Invalid setting '1' is not a valid 'settings.compiler.version' value. Possible values are ['10', '4.1', '4.4', '4.5', '4.6', '4.7', '4.8', '4.9', '5', '5.1', '5.2', '5.3', '5.4', '5.5', '6', '6.1', '6.2', '6.3', '6.4', '7', '7.1', '7.2', '7.3', '7.4', '8', '8.1', '8.2', '8.3', '9', '9.1', '9.2'] ``` 4. Add version "1" to the list (even though this seems totally wrong) 5. Try again -- "conan install" will work. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Parameter assignment has a bug <!-- ⚠ 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**: commit c06f50c028638161153909e10fcefe7c4f2eef06 of master. - **Python version**: 3.7.3 - **Operating system**: Ubuntu ### What is the current behavior? Assigning a parameter to another parameter in the circuit overwrites the `_parameter_table` when there already is an entry. ### Steps to reproduce the problem The following code illustrates the problem: ``` a = Parameter('a') b = Parameter('b') qc1 = QuantumCircuit(1) qc1.rx(a, 0) qc1.ry(b, 0) print(qc1._parameter_table) qc1.assign_parameters({a: -b}, inplace=True) print(qc1._parameter_table) ``` The first print statement yields: ``` ParameterTable({ Parameter(a): [(<qiskit.[...].RXGate object at 0x7ff79fcc6668>, 0)], Parameter(b): [(<qiskit.[...].RYGate object at 0x7ff79fcc66d8>, 0)] }) ``` And the second print statement gives ``` ParameterTable({ Parameter(b): [(<qiskit.[...].RXGate object at 0x7ff79fcc6668>, 0)] }) ``` ### What is the expected behavior? We should see the `RYGate` in the second print output under `Parameter(b)`. ### Suggested solutions The issue appears to be in `QuantumCircuit._assign_parameter(self, parameter, value)` at the lines ``` if isinstance(value, ParameterExpression): entry = self._parameter_table.pop(parameter) for new_parameter in value.parameters: self._parameter_table[new_parameter] = entry ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Some Models do not support gradient checkpointing Thanks for this wonderful library. I found some models do not support gradient_checkpointing, which I believe is a very important feature. For example, ElectraModel: ElectraConfig has no gradient_checkpointing option but ElectraModel will use gradient_checkpointing if config.gradient_checkpointing = True DistillBERT: DistillBertConfig has no gradient_checkpointing option and DistillBertModel does not support gradient_checkpointing. I assume all transformer-based models should be able to support gradient_checkpointing. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [docs] TFRobertaModel example: last_hidden_states -> last_hidden_state This is a documentation error on the currently deployed version of https://huggingface.co/transformers/ ### Who can help examples/distillation: @VictorSanh documentation: @sgugger ## Information Model I am using: TFRoberta The problem arises when using: * [x] the official example scripts ## To reproduce Steps to reproduce the behavior: 1. View the code example at https://huggingface.co/transformers/model_doc/roberta.html#tfrobertamodel 2. `last_hidden_states = outputs.last_hidden_states` should be `last_hidden_states = outputs.last_hidden_state` The current incorrect spelling will yield an error. I apologize that I was not able to find that line in the repo, otherwise I would submit 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 conan-io/conan codebase. Here's the problem: Add progress bars to improve UX A progress bar will indicate the user that something is running and he must wait until completion. Some operations in Conan can take a long time (uploading, unzipping,...) and the user can Ctrl+Break it if there is no feedback. We may develop/reuse a progress bar component (even for parallel jobs) that could be used anywhere inside Conan. This component may replace also existing code. Here it is a list with the places where a progress bar can fit (list updated with comments): Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: gatefacecolor key has no effect on circuit diagrams ### Information - **Qiskit Terra version**: 0.9.0 - **Python version**: 3.7.4 - **Operating system**: Ubuntu 18.04.3 ### What is the current behavior? When plotting circuit diagrams, the `gatefacecolor` key has no effect. ### Steps to reproduce the problem ```python from qiskit import QuantumRegister, QuantumCircuit, ClassicalRegister qr = QuantumRegister(3) cr = ClassicalRegister(1) qc1 = QuantumCircuit(qr) qc1.x(qr[1]) qc1.h(range(3)) qc1.cx(qr[1], qr[2]) qc1.cx(qr[0], qr[1]) style = {'gatefacecolor': '#hhhhhh'} qc1.draw(output='mpl', style=style).show() ``` Produces this image: ![image](https://user-images.githubusercontent.com/14994219/65039957-454d9e00-d94b-11e9-8945-b2efd43b3f70.png) The same image is produced using any hex colour code or by removing the gatefacecolor key. ### What is the expected behavior? The gate faces should be white in this example. ### Suggested solutions A suggested solution was to use `style=False`, which overrides the default styling and produces a black and white diagram. However, this would not allow the use of other desired style keys such as `'usepiformat': 'true'`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: result.get_ran_qasm() not working ### What is the current behavior? `Result.get_ran_qasm()` seem to be broken due to PR #501. That's because the Result datastructure no longer has a copy of the qobj json inside it. We should see how/if this can be fixed with the recent introduction of Qobj class. ### Steps to reproduce the problem ```python from qiskit import * q = QuantumRegister(3) c = ClassicalRegister(3) circ = QuantumCircuit(q, c) circ.ccx(q[0], q[1], q[2]) print(circ.qasm()) result = execute(circ, 'local_qasm_simulator').result() result.get_ran_qasm(circ.name) # does not return an answer ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] SCM username value is ignored Conan ignores `username` SCM attribute. For file: ```python from conans import ConanFile class TestRecipe(ConanFile): name = 'test-recipe' version = '0.1' scm = { 'type': 'git', 'url': 'ssh://github.com/conan-io/conan.git', 'username': 'test-user', } ``` When cloning git repository, `test-user` is not used, but current logged-in user is used instead: ```bash test-recipe/0.1: SCM: Getting sources from url: 'ssh://github.com/conan-io/conan.git' ERROR: Command 'git -c http.sslVerify=true clone "ssh://github.com/conan-io/conan.git" . ' returned non-zero exit status 128. Cloning into '.'... seva@github.com: Permission denied (publickey). ``` (conan.git repository is used just as example). ### Environment Details Conan version: 1.31.0 Python version: 3.8.4, 3.7.3 ### Steps to reproduce - Create conanfile recipe (example is attached). - run 'conan create .' in it's directory. Conanfile and example output: [username-bug.zip](https://github.com/conan-io/conan/files/5492773/username-bug.zip) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Add InvalidConfigurationException to be raised in Conanfile.configure() Copy here the issue discussed at conan-package-tools https://github.com/conan-io/conan-package-tools/issues/146: > Motivation.- Protobuf package has an issue with windows/shared configuration so we have to disable it and prevent CI to run those jobs in order to get a green badge. > > What to ask for.- I think that it would be useful to have a conan.errors.InvalidConfigurationException (better name?) to be raised from configure() method in recipes instead of the generic ConanException (as it is suggested here). This way users will get the proper information when running conan, but projects like conan-package-tools can catch this specific exception, handle it and mark the job in CI as successful. > > This way we don't need to tweak build.py files to avoid running certain configurations, so we move forwards to a even more standarized (unneeded) file. Will require to add the exception type and document it ([here](https://docs.conan.io/en/latest/uploading_packages/bintray/conan_center_guide.html#recipe-quality)), I think that Conan's internals won't be affected by 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 Qiskit/qiskit codebase. Here's the problem: Control() method of UnitaryGate does not pass num_ctrl_bits and ctrl_state to ControlledGate <!-- ⚠ 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**: 0.13 - **Python version**: 3.8 - **Operating system**: Ubuntu 18.04 ### What is the current behavior? In the control() method for UnitaryGate, the call to ControlledGate does not include the num_ctrl_bits or ctrl_state. ### Steps to reproduce the problem ``` from qiskit import * from qiskit.extensions import UnitaryGate import numpy as np c=QuantumCircuit(3) op = np.matrix([[1,0],[0,-1]]) r=UnitaryGate(op, label='rt') re=r.control(2, ctrl_state='10') c.append(re, [0,1,2]) c.draw('text') ``` produces this output. ``` q_0: ───■─── ┌─┴┼──┐ q_1: ┤0 │ ├ │ rt │ q_2: ┤1 ├ └─────┘ ``` ### What is the expected behavior? ``` q_0: ──o─── │ q_1: ──■─── ┌─┴──┐ q_2: ┤ rt ├ └────┘ ``` ### Suggested solutions Add num_ctrl_bits and ctrl_state to the ControlledGate call. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ipcluster --version Display: ``` 0.0 ``` While ipengine and ipcontroller display the right version (0.13.2 and master). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: 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 conan-io/conan codebase. Here's the problem: [feature] Add Conan package name and version to visual studio generator prop file <!-- What is your suggestion? Please be as specific as possible! --> Can we get the feature to add `CONAN_PACKAGE_NAME` and `CONAN_PACKAGE_VERSION` to the visual studio generator prop file? Currently, Conan does support adding package name and version through CMake generator. The feature I am talking about is mentioned [here](https://github.com/conan-io/conan/blob/c923c692fb14dd3ad0a66bab308b4a59f6a037dc/conans/client/generators/cmake_common.py#L71-L73) for CMake generator - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: activate.d scripts not run on windows if prefix contains unicode activate.d scripts are not run on windows if the path contains unicode characters. A test for this is to create environments with and without unicode characters with the `_test_set_env_in_activate_d` package in the `jjhelmus` channel. When activated the `TEST_VAR` variable should be set to "1". In environments with unicode characters running the activate.d script fails because of an invalid path in the activation script. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: add option to globally disable jit for better debugging (Relates to #196) It's harder to debug jitted functions than non-jitted functions, since it's essentially impossible to introspect their intermediate state. One option is to comment out the jit decorator, but then you have to remember to put it back when you're done debugging. It'd be nice to have a mechanism (maybe a context manager?) to globally disable jitting for debugging purposes; once bugs are fixed, you don't have to reinsert all of your @jit statements. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Objects of files() may be ambiguous When files are specified using files(), their subdirectories aren't added as a prefix to their object file names, and all are output to the same output directory. As a result, if two different subdirectories have files with the same name, a conflict will follow. For example, the following fails with `Multiple producers for Ninja target "a.out@exe/file.c.o". Please rename your targets.`: ```sh #!/bin/sh mkdir -p dir1 dir2 echo "int main() { return 0; }" > dir1/file.c echo "sources += files('file.c')" > dir1/meson.build touch dir2/file.c echo "sources += files('file.c')" > dir2/meson.build cat >meson.build <<EOF project('proj', 'c') sources = [] subdir('dir1') subdir('dir2') executable('a.out', sources: sources) EOF meson build ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: [trainer] add distributed_env to TrainingArguments As discussed in https://github.com/huggingface/transformers/pull/8823 it's not simple to check whether the downstream code is running under distributed mode or not (currently requires checking `self.args.local_rank != -1` which is far from obvious. So we were discussing about adding a flag like `distributed_env` so that the downstream code could do a much simpler intuitive check. I'm not sure whether we need just True/False for ddp or whether we also need to have another flag if we are under DP as well? @sgugger Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: New GPT2 tokenizer no longer encodes Unicode characters properly in Python 3 In commit 5afa497cbfc53c679a9b22997b6312fad57ee2f8, you changed `token.encode('utf-8')` to simply `token`. This would make the code compatible with Python 2, but now it breaks in Python 3. You'll get a KeyError when you try to encode a Unicode character that requires more than 1 byte in UTF-8 encoding. For example, this raises a KeyError in Python 3: ```python from pytorch_pretrained_bert.tokenization_gpt2 import GPT2Tokenizer tokenizer = GPT2Tokenizer.from_pretrained('gpt2') tokenizer.encode('你') ``` I think what you want to do is: ```python if sys.version_info[0] == 2: token = ''.join(self.byte_encoder[ord(b)] for b in token) else: token = ''.join(self.byte_encoder[b] for b in token.encode('utf-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 google/jax codebase. Here's the problem: Inconsistent casting of floats with jit compilation. ``` def mul(R, c): return R * c R = np.array([1, 2, 3], dtype=np.float32) c = 0.1 print(mul(R, c).dtype) # Evaluates to np.float32 as expected. print(jit(mul)(R, c).dtype) # Evaluates to np.float64. ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Bug in masked array boolean comparison in Numpy 1.15.3 An issue was introduced in Numpy 1.15.3 compared to Numpy 1.15.2 which results in comparisons of masked arrays crashing (this has broken some functionality over at astropy - e.g. https://github.com/astropy/astropy/issues/7943) This is likely due to https://github.com/numpy/numpy/pull/12237 ### Reproducing code example: **Expected (Numpy 1.15.2)** ```python >>> (np.ma.array(['A', 'B', 'C'], fill_value='N') == 'A') | (np.ma.array(['A', 'B', 'C'], fill_value='N') == 'A') masked_array(data=[ True, False, False], mask=False, fill_value='N') ``` (arguably this was wrong too since fill_value should have been a bool, but at least it didn't crash) **Actual (Numpy 1.15.3)**: ```python >>> (np.ma.array(['A', 'B', 'C'], fill_value='N') == 'A') | (np.ma.array(['A', 'B', 'C'], fill_value='N') == 'A') Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/Users/tom/miniconda3/envs/np1153/lib/python3.6/site-packages/numpy/ma/core.py", line 3016, in __array_finalize__ self._fill_value = _check_fill_value(self._fill_value, self.dtype) File "/Users/tom/miniconda3/envs/np1153/lib/python3.6/site-packages/numpy/ma/core.py", line 476, in _check_fill_value fill_value = np.array(fill_value, copy=False, dtype=ndtype) ValueError: invalid literal for int() with base 10: 'N' ``` ### Numpy/Python version information: Python 3.6, Numpy 1.15.3 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Explicitly construct C3X and C4X in MCXGrayCode <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: latest GitHub code - **Python version**: N/A - **Operating system**: N/A ### What is the current behavior? The docstring of the `MCXGate` constructor says "creates an explicit CX, CCX, C3X or C4X instance or a generic MCX gate", however it explicitly creates CX and CCX only. ### Steps to reproduce the problem N/A ### What is the expected behavior? Create C3X and C4X gates explicitly as well. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: gradients through np.where when one of branches is nan, #347 except with arctan2 I have come across an issue that I think is almost identical to #347, except with arctan2. Here's a repro: ``` def test(a): b = np.arctan2(a,a) print(b) temp = np.array([0.,1.,0.]) c = np.where(temp>0.5,0.,b) print(c) return np.sum(c) aa = np.array([3.,0.,-5.]) print(test(aa)) print(grad(test)(aa)) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Unnecessary copying of read-only arrays negates benefit of BLAS saxpy BLAS saxpy provides a substantial improvement over the native numpy equivalent but any improvement is lost when _input_ x is marked read-only: ### Reproduction ```python import scipy.linalg.blas, numpy as np, mkl mkl.set_num_threads(1) size = 100*1000**2 y = np.zeros(size, dtype=np.float32) x = np.ones_like(y) a = 0.1 # blas: 10 loops, best of 3: 75.3 ms per loop scipy.linalg.blas.saxpy(x, y, a=a) # numpy: 1 loop, best of 3: 202 ms per loop y += x * a ``` However when x is read-only saxpy is no faster than numpy as f2py makes a copy of x: ```python x.setflags(write=False) # blas: 1 loop, best of 3: 210 ms per loop scipy.linalg.blas.saxpy(x, y, a=a) # numpy: 1 loop, best of 3: 206 ms per loop y += x * a ``` ### Root cause The copy is made as this test of layout order fails for read-only arrays: https://github.com/numpy/numpy/blob/master/numpy/f2py/src/fortranobject.c#L737. The test is calling: ```c #define PyArray_ISFARRAY(m) PyArray_FLAGSWAP(m, NPY_ARRAY_FARRAY) ``` But those flags test for a writable arrays: ```c #define NPY_ARRAY_BEHAVED (NPY_ARRAY_ALIGNED | NPY_ARRAY_WRITEABLE) ... #define NPY_ARRAY_FARRAY (NPY_ARRAY_F_CONTIGUOUS | NPY_ARRAY_BEHAVED) ``` Arguments marked intent(in) should instead check array flags against NPY_ARRAY_FARRAY_RO to avoid this unnecessary copy: ```c #define NPY_ARRAY_FARRAY_RO (NPY_ARRAY_F_CONTIGUOUS | NPY_ARRAY_ALIGNED) ``` [1] x is readonly in our use-case as we wrap a network buffer using np.frombuffer(str). It's no longer possible to force this writable due to change https://github.com/numpy/numpy/pull/11739. ### Numpy/Python version information: numpy 1.16.5 python 3.7.5 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Multiple package ID compatibility model There are some frictions while declaring compatibility between packages: - In one hand, you can declare with the package_id that a package, for example, gcc8 is compatible with gcc7. That causes that both of them will have the same package_id - On the other hand you really want to distinguish between packages from gcc8 and gcc7. POC here: https://github.com/conan-io/conan/pull/5837 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Can't clear all upstream tasks when DAG Serialization is enabled **Apache Airflow version**: 1.10.10 **To Reproduce** Steps to reproduce the behavior with Astronomer Image: 1. Enable DAG Serialization (Put `AIRFLOW__CORE__STORE_SERIALIZED_DAGS=True` Once the Webserver boots up, run any DAG 1. Once the DAG completes execution, click on the task that has few upstream tasks in Graph View 1. One the **Task Instance Modal**, select **Upstream** -> click on **Clear**. You will see a list of tasks but that would not have all the upstream tasks. **Screenshots** ![Apr-22-2020 15-56-14](https://user-images.githubusercontent.com/8811558/79997805-d96b7f00-84b1-11ea-8328-9d24c4a77ad6.gif) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: BUG: exp and log cast float16 to float32 <!-- Please describe the issue in detail here, and fill in the fields below --> After #13134 is merged, `np.exp` and `np.log` return float32 arrays for float16 inputs. Is the change intended? I could not find docs for it (https://www.numpy.org/devdocs/reference/generated/numpy.exp.html), while it is documented that `np.sum` casts ints to the default platform integer. ### Reproducing code example: <!-- A short code example that reproduces the problem/missing feature. It should be self-contained, i.e., possible to run as-is via 'python myproblem.py' --> ```python import numpy as np print(np.exp(np.array([1, 2], np.float16)).dtype) # => float32 print(np.log(np.array([1, 2], np.float16)).dtype) # => float32 ``` <!-- Remove these sections for a feature request --> <!-- ### Error message: --> <!-- If you are reporting a segfault please include a GDB traceback, which you can generate by following https://github.com/numpy/numpy/blob/master/doc/source/dev/development_environment.rst#debugging --> <!-- Full error message, if any (starting from line Traceback: ...) --> ### Numpy/Python version information: <!-- Output from 'import sys, numpy; print(numpy.__version__, sys.version)' --> ``` 1.17.0.dev0+64b3e67 3.7.1 (default, Nov 6 2018, 21:02:07) [Clang 10.0.0 (clang-1000.10.44.4)] ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Port Datastore onto GAPIC ### What Port the gRPC code path for Datastore onto GAPIC. The package is available [here](https://pypi.python.org/pypi/gapic-google-cloud-datastore-v1). ### Why This is not a beta-blocker, since there already is gRPC code for Datastore, but it is preferred. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Issues with the JSON created by conan create Conan version: 1.2.0 Command: `conan create --json ./foo.json . myteam/unstable` The generated JSON does not separate the dependency packages of the built project, from the built package. This makes it difficult to parse. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Allow inheritance of QuantumRegister and ClassicalRegister Attempting to inherit from QuantumRegister or ClassicalRegister currently causes type errors in `instruction.py`'s constructor. There may be other areas that require updates to make this functionality viable. Can you help me debug this systematically and explain your reasoning?