[System] You are an expert software 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: backward compatibility broken on vcvars command Since implementing #3157 in conan 1.7, using vcvars with Visual Studio 2015 and architecture 86 uses amd64_x86 as parameter for vcvars, even if arch_build is not specified and not part of the recipes settings. This breaks for example builds where Silverlight is used, as Silverlight cannot be used with 64 bit msbuild commands. Expected behavior: if arch is set to 86 and arch_build is not specified, x86 is used as parameter to vcvars.bat (allowed on 64 bit systems, see https://msdn.microsoft.com/en-us/library/f2ccy3wt.aspx#Anchor_1). - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: More idiomatic definition of dev/production conditional dependencies The current mechanism is to define options for it, then use such options to conditionally require (or not) a certain dependency. It could be easier and more idiomatic if a higher level of abstraction, as specifying a global (dev/production/package) scope for all packages, and packages could use such scope for conditionally defining dependencies. Requested in https://github.com/conan-io/conan/issues/79, but it is not the first time, so I think it is an interesting feature to develop Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Inner class files not included in Jar javac produces separate class files for inner classes. So multiple output files can be generated for one input file. If Foo.class and Foo$Bar.class files are generated form Foo.class, meson only includes Foo.class not Foo$Bar.class. I am not a Java expert (I am just trying to write a binding for my C library); but according to a quick research on the Internet, an easy solution does not seem possible with javac while keeping the support for incremental builds. SCons has a parser for Java files to guess output files. Another solution would be to pass only the output directory to jar command instead of passing each class file. Some info about this: http://blog.ltgt.net/in-quest-of-the-ultimate-build-tool/#internals SCons's parser: https://bitbucket.org/scons/scons/src/3763c12a06be2b44e945bdb03fcc1b5a888e5c96/src/engine/SCons/Tool/JavaCommon.py?at=default&fileviewer=file-view-default Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: matplotlib should only be imported when needed After merging #911, matplotlib is imported when `import qiskit`. Please, see the discussion in #911 . Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 components to 'pkg_config' generator This PR (https://github.com/conan-io/conan-center-index/pull/1782) is adding components to OpenSSL and overriding the name of those components for `pkg_config` generator: ```python self.cpp_info.components["crypto"].names["cmake_find_package"] = "Crypto" self.cpp_info.components["crypto"].names["cmake_find_package_multi"] = "Crypto" self.cpp_info.components["crypto"].names['pkg_config'] = 'libcrypto' self.cpp_info.components["ssl"].names["cmake_find_package"] = "SSL" self.cpp_info.components["ssl"].names["cmake_find_package_multi"] = "SSL" self.cpp_info.components["ssl"].names['pkg_config'] = 'libssl' ``` How do components work with `pkg_config`? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: Allow partial schema in `load_table_from_dataframe` As discussed in https://github.com/googleapis/google-cloud-python/pull/8105#discussion_r286997609 and implemented in pandas-gbq at https://github.com/pydata/pandas-gbq/issues/218, often times the default schema detection works well enough for pandas -> BQ, and only one or two of many columns need to be overridden. Example: ```python df = pandas.DataFrame({... lots of columns ..., "needs_manual_schema": [...]}) job_config = bigquery.LoadJobConfig(schema=[ bigquery.SchemaField("needs_manual_schema", "BOOLEAN"), ]) client.load_table_from_dataframe( df, "my_dataset.my_table", job_config=job_config, ) # All columns from df are uploaded, but only df["needs_manual_schema"] is # coerced into a specific type (BOOLEAN). ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Allow passing GeneratedList to generator.process Sometimes you want to chain two generators one after the other; for instance while building assembly with MSVC, you need to use `ml.exe` but it doesn't do pre-processing, so you need to call `cl.exe /EP /P /Fi@OUTPUT@ @INPUT@` to do the pre-processing, and then pass it to `ml.exe /Fo @OUTPUT@ /c @INPUT@` to get compiled object code which can be added as sources to an `executable` or `library`. This is not trivial to do (I tried) but shouldn't be too difficult. Also implementing it on the Visual Studio backend has the same problem that is causing the `113 generatorcustom` test to fail there. This is needed for building libffi with Meson without resorting to a wrapper 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 celery/celery codebase. Here's the problem: Retry tasks which failed because of SIGKILL Hello, We are currently using celery with Broker=RabbitMQ & Backend=Redis. Our setup runs on Kubernetes with auto-scaling enabled. (Our number of pods scale up / down based on resource utilization). We use the Forked Process mode to run our celery worker. When the size of our cluster increases, everything works great. However, when the pods turn down, the tasks that were running on the pods get marked as FAILED. The sequence of actions is as follows: 1. Resource consumption decreases 2. Kubernetes realizes that pods that were scaled up now need to be turned down 3. Kubernetes sends `SIGKILL` signal to the pods that should turn down 4. Celery intercepts the signals and turns down all the Forked Processes 5. The tasks that were running on the processes return their execution back to the Main Process 6. The main process marks all the running tasks as FAILED When the main process is the one that marks the running operations as FAILED, the `retry` code is never executed. We do want to recover these tasks as they are part of a long running process. Celery should provide a way to recover these tasks. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 Wav2Vec2 padding has slightly backward breaking changes The PR: https://github.com/huggingface/transformers/pull/13650 introduced some quite tricky backwards breaking changes that we should try to fix. The problem is the following: A user might directly use `feature_extractor.pad(...)` instead of `feature_extractor(...)` to just pad already preprocessed inputs in, *e.g.* a data collator. The following code correctly returned `torch.float32` before merging the PR while the new PR returns `torch.float64` which is slighly breaking and can lead to errors in current fine-tuning Wav2Vec2 scripts: ```python from transformers import Wav2Vec2FeatureExtractor import numpy as np extractor = Wav2Vec2FeatureExtractor.from_pretrained("facebook/wav2vec2-base-960h") rand_input = np.ones((100,), dtype=np.float64) out = extractor.pad([{"input_values": rand_input}], return_tensors="pt") print(out.dtype) # <- this should be `torch.float32` ``` Here is a colab showing how the "old" version works correctly: https://colab.research.google.com/drive/10TlRWvwKx34UORmYdCFAyMWKUU3OtPRf?usp=sharing Here is a colab showing how the "new" version works incorrectly: https://colab.research.google.com/drive/1cXGuG4Rnypmivdm-vdE-61BA1f4hC4e8?usp=sharing Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Ensure PKG_CONFIG_PATH persistence Encountered the following issue: ``` $ PKG_CONFIG_PATH=/foo/pkgconfig meson ``` and everything builds fine, _but_ one of the meson.build files has something like this: ``` runcmd = run_command('pkg-config', '--variable=pluginsdir', 'gstreamer-1.0') ``` The problem is now that without an export the environment passed to meson is not inherited by subprocesses (I think that's the issue anyway, although I'm not sure why the dependency() detection via pkg-config works then, since it's also a subprocess), so it returns the pluginsdir of the installed gstreamer here, not the prefix I specified. I think it's unreasonable to expect users to export this var, so I think whatever the issue is it needs to be worked around in meson somehow or we need specific functions to do the equivalent that will do the right thing. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: BUG: 8.7.0 removes `code-block:: ipython` pygment lexer support Installed via pip / PyPI -- previously this RST worked: ``` .. code-block:: ipython In [1]: %matplotlib qt ``` but now we get: ``` /home/circleci/project/doc/install/advanced.rst:33: WARNING: Pygments lexer name 'ipython' is not known ``` At least this is what I think is happening in our CircleCI build today (which fails because we treat warnings as errors), we haven't changed the RST lines in question at all recently: https://app.circleci.com/pipelines/github/mne-tools/mne-python/17137/workflows/27c6f253-b7a7-4b67-9c2e-db9aa4e925fc/jobs/50745?invite=true#step-112-532 And 8.7.0 is being installed properly in the env: https://app.circleci.com/pipelines/github/mne-tools/mne-python/17137/workflows/27c6f253-b7a7-4b67-9c2e-db9aa4e925fc/jobs/50745?invite=true#step-112-532 Changing this to `.. code-block:: ipythonconsole` does not seem to help. Is this an intentional change? Or is this lexer meant to be installed a different way? I didn't see anything in these pages at least: - https://ipython.readthedocs.io/en/stable/whatsnew/version8.html#ipython-8-7-0 - https://ipython.readthedocs.io/en/stable/development/lexer.html Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda run command removed in 4.1.0 After upgrading to 4.1.0: ``` $ conda run ``` outputs: ``` Error: Could not locate 'conda-run' ``` Also, when running `conda --help`, the documentation about the run command is no longer present. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Tab completion does not work with IPython.embed_kernel() When I pause a script with IPython.embed_kernel() and connect to the kernel with qtconsole, whil %whos show all the objects correctly, tab completion does not work. Specifically, tab completion for any names generated by original script does not work, and also, it does not work for new objects generated in the qtconsole either. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Proper error message using conan remote disable/enable if remote doesn't exist Using Conan 1.19 you will be able to enable or disable remotes with `conan remote enable/disable remote_name`. If the remote does not exist there is no error message. There should be one error message in this case. To help us debug your issue please explain: - [X] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [X] I've specified the Conan version, operating system version and any tool that can be relevant. - [X] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Feature Request: multi-format file output in QuantumCircuit.draw(..., filename='...') Qiskit uses PIL for processing image in the Qiskit circuit drawer, which supports several [image file formats](https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html). However, it always saves in `image/png`: ```python from qiskit import * circuit = QuantumCircuit(2) circuit.h(0) circuit.cx(0, 1) circuit.draw('latex', filename='./file.jpg') !file file.jpg ``` ``` file.jpg: PNG image data, 276 x 90, 8-bit/color RGB, non-interlaced ``` It would be great if the drawer notices the `filename` file extension and saves the image in the correct format. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: multiplex channels over a single websocket Connecting a frontend to a kernel involves 3 zmq connections. There are various message pattern reasons for this. In the HTML notebook, we turn each zmq connection into a websocket connection. The message pattern differences no longer apply, so we could easily have only one websocket connection from client to server, and let the server multiplex zmq channels onto a single websocket. The costs of the multiple websockets start showing up when there is a proxy in front of one or more notebook servers, such as [tmpnb](https://github.com/jupyter/tmpnb) or [JupyterHub](https://github.com/jupyter/jupyterhub), because each open notebook page has **6** persistent sockets in the proxy. Running out of FDs in the proxy seems to be the most common first wall hit when scaling any of these services. If only one websocket connection were open, three times as many notebooks could be open at a time behind a given proxy. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Interactive Qsphere shows black vectors <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### What is the current behavior? The Qsphere vectors can be black becuse phase angle is negative ### What is the expected behavior? All vectors must be on a range of colors according next image: ![image](https://user-images.githubusercontent.com/1753426/44908490-f28f4d00-ad1b-11e8-9173-73a3ab25290f.png) ### Suggested solutions Modify phase formula to get (always) positive angles. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda info exposing tokens Hi, the conda info command is exposing tokens again. Por ejemplo: ``` Current conda install: platform : win-64 conda version : 4.2.9 conda is private : False conda-env version : 4.2.9 conda-build version : 2.0.2 python version : 2.7.12.final.0 requests version : 2.11.1 root environment : C:\Anaconda2 (writable) default environment : C:\Anaconda2 envs directories : C:\Anaconda2\envs package cache : C:\Anaconda2\pkgs channel URLs : https://conda.anaconda.org/t/**EXPOSED TOKEN**/topper/win-64/ https://conda.anaconda.org/t/**EXPOSED TOKEN**/topper/noarch/ https://repo.continuum.io/pkgs/free/win-64/ https://repo.continuum.io/pkgs/free/noarch/ https://repo.continuum.io/pkgs/pro/win-64/ https://repo.continuum.io/pkgs/pro/noarch/ https://repo.continuum.io/pkgs/msys2/win-64/ https://repo.continuum.io/pkgs/msys2/noarch/ config file : d:\Usuarios\108630\.condarc offline mode : False ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Wrong expression in UGate docs <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.18.13 - **Python version**: All - **Operating system**: All ### What is the current behavior? The documentation for [`UGate`](https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/circuit/library/standard_gates/u.py) states that: ``` U(\theta, \phi, \lambda) = RZ(\phi - \pi/2) RX(\pi/2) RZ(\pi - \theta) RX(\pi/2) RZ(\lambda - \pi/2) ``` ### Steps to reproduce the problem Problem is in the code documentation of [`UGate`](https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/circuit/library/standard_gates/u.py). ### What is the expected behavior? The expression above does not correspond to the matrix form given in the documentation of [`UGate`](https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/circuit/library/standard_gates/u.py), nor to the RX and RY expressions in terms of U. Since the latter are all in line with the behaviour of Qiskit's ideal simulator, the expression itself is incorrect. The correct expression is instead: ``` U(\theta, \phi, \lambda) = RZ(\phi) RX(\pi/2) RZ(\pi - \theta) RX(\pi/2) RZ(\lambda - \pi) ``` ### Suggested solutions Fix the expression in the documentation. For convenience of the reader, one could also add the following simplified expression, from which the matrix, RX and RY expressions are more readily derived: ``` U(\theta, \phi, \lambda) = RZ(\phi + \pi/2) RX(\theta) RZ(\lambda - \pi/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 google/jax codebase. Here's the problem: Forward-mode differentiation rule for 'select_and_scatter_add' not implemented Ran into a not implemented error when taking second order gradients through a max pool. Repro: ``` import jax.numpy as np from jax.api import jvp from jax import grad import jax.random from jax.experimental import stax import numpy as onp data = np.array(onp.random.normal(size=[1, 4, 4, 1])) model = stax.serial(stax.Conv(1, (1,1), (1,1), 'SAME'), stax.MaxPool((2,2), strides=(2,2))) model_init, model_predict = model key = jax.random.PRNGKey(0) params = model_init(key, list(data.shape))[1] def loss(params, data): return np.sum(model_predict(params, data)) def hvp(loss, params, batch, v): loss_fn = lambda x: loss(x, batch) return jvp(grad(loss_fn), [params], [v])[1] # Raises NotImplementedError: Forward-mode differentiation rule for 'select_and_scatter_add' not implemented hvp(loss, params, data, params) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Raise AttributeError on training deberta models with gradient checkpointing ### System Info ```shell - `transformers` version: 4.20.1 - Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic - Python version: 3.7.13 - Huggingface_hub version: 0.8.1 - PyTorch version (GPU?): 1.11.0+cu113 (True) - Tensorflow version (GPU?): 2.8.2 (True) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: yes - Using distributed or parallel set-up in script?: no ``` ### Who can help? @LysandreJik ### Information - [ ] The official example scripts - [X] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [X] My own task or dataset (give details below) ### Reproduction - deberta models and `Trainer` with `gradient_checkpointing=True` - `trainer.train()` - raise `AttributeError: module 'torch.utils' has no attribute 'checkpoint'` Refs #9617 ### Expected behavior ```shell nothing raised on training with `gradient_checkpointing=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 Lightning-AI/lightning codebase. Here's the problem: enable progress bar = update freq 1 i think we can collapse two args. - remove enable progress bar arg. - disable the progress bar when update freq = 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 google/jax codebase. Here's the problem: map of pmap IndexError bug Map of pmap seems to fail due to a strange shape bug. See repro below. ``` import jax.numpy as np from jax import lax, pmap, vmap, random def vv(x, y): """Vector-vector multiply""" return np.dot(x, y) def distributed_matrix_vector(x, y, distributed=True): """Matrix vector multiply. First batch it and then row by row""" fv = lambda z: lax.map(lambda j: vv(j, y), z) if distributed: res = pmap(fv)(x.reshape((jax.device_count(), -1) + tuple(x.shape[1:]))).reshape((x.shape[0], 1)) else: res = fv(x) return res print("Not batched") key = random.PRNGKey(1) x = random.normal(key, (800, 50)) y = random.normal(key, (50,)) result = distributed_matrix_vector(x, y, False) print("Outside matrix vector code", result.shape) print("Vmap + pmap") batched_mvm = vmap(lambda b: distributed_matrix_vector(x, b, True)) y = random.normal(key, (10, 50)) result = batched_mvm(y) print("Result", result.shape) print("mapped") y = random.normal(key, (10, 50)) result = lax.map(lambda b: distributed_matrix_vector(x, b, False), y) print("Result", result.shape) print("map + pmap") y = random.normal(key, (10, 50)) result = lax.map(lambda b: distributed_matrix_vector(x, b, True), y) print("Result", result.shape) ``` Output: ``` Not batched Outside matrix vector code (800,) Vmapped Result (10, 800, 1) mapped Result (10, 800) map + pmap IndexError: cannot do a non-empty take from an empty axes. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Relax requirement for DistributedSampler with ddp **Is your feature request related to a problem? Please describe.** I have an application where I'm using a custom `BatchSampler` to construct batches for the N-Pairs metric learning loss. I need all of the data to be available on all processes when using `DistributedDataParallel`, so I wouldn't want to use `DistributedSampler`, even if it was compatible with a custom `BatchSampler`. Right now, I've hit a wall because lightning throws this exception: ``` pytorch_lightning.utilities.debugging.MisconfigurationException: when using multiple gpus and multiple nodes you must pass a DistributedSampler to DataLoader(sampler). ie: this: dataset = myDataset() dataloader = Dataloader(dataset) becomes: dataset = myDataset() dist_sampler = torch.utils.data.distributed.DistributedSampler(dataset) dataloader = Dataloader(dataset, sampler=dist_sampler) ``` **Describe the solution you'd like** Could this exception be turned into a warning? I'm all for letting the user know when they're violating best practices, but throwing an exception removes flexibility for advanced users. **Describe alternatives you've considered** I looked at using the dp backend, but that's not going to work because the n-pairs loss needs the entire batch to compute the loss. Splitting it into chunks breaks things. If I'm understanding correctly, this is actually another limitation introduced by Lightning. In a usual `DataParallel` setting, the batch would be merged back together before computing the loss and everything would be fine. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: nbconvert latex: code highlighting causes error The latex generated from this notebook fails to compile due to the code highlighing: http://nbviewer.ipython.org/2f85ddd8d967795dcb0e and the tex: https://gist.github.com/ihnorton/a86c521d4aa223f9dba9 ``` ! LaTeX Error: Environment Shaded undefined. See the LaTeX manual or LaTeX Companion for explanation. Type H <return> for immediate help. ... l.237 \begin{Shaded} ? ! Emergency stop. ... l.237 \begin{Shaded} ``` Ubuntu 13.04, IPython 1.1, pandoc 1.10.1 edit: Confirmed in pandoc 1.12.01 on Windows 7 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: except-shadows-builtin osm.py:687 except ValueError, IOError: should be except (ValueError, IOError): Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Executing a schedule with one instruction raises an error <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? If I make a schedule with only one instruction: ``` sched = pulse.Acquire(20, pulse.AcquireChannel(0), pulse.MemorySlot(0)) ``` then when I `execute` it, it's type is `Instruction` and not `Schedule`, so `execute` wrongly sends it through the `transpiler`, thinking it's a `QuantumCircuit`. Since the transpiler is expecting a circuit, we end up with an attribute error as it tries to access `circuit.qubits`, which isn't a Schedule property. ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions The easiest fix is to replace `isinstance(experiments, Schedule)` with `isinstance(experiments, (Schedule, pulse.Instruction)`, or perhaps more correctly: `isinstance(experiments, ScheduleComponent)`. Would have to add tests and make sure there aren't other consequences of taking an `Instruction` as input. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: PSNR metric in metrics ## 🚀 Feature Can we have [PSNR](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio) metric in the metrics module? ### Motivation This metric is used in Image generative models eg. super-resolution. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add "raise_on_fail" context manager Task runners and flow runners trap all errors, which can make debugging difficult. We could create a context manager that would raise errors rather than trapping them. Given a Flow `flow` that contains a task that raises some error: ```python flow.run() # returns State(FAILED) with raise_on_fail(): flow.run() # actually raises an error at the appropriate place ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Add '--strip' option to cmake install ### What is your suggestion? Can you add a parameter to `cmake.install` function in order to be able to strip binaries before install ? install and strip were added to CMake about 4 years ago, and if I got it correctly in version 3.15 https://gitlab.kitware.com/cmake/cmake/-/merge_requests/3069 Strip is very useful to remove debug symbols (actually all DWARF extension) from binaries and especially release binaries. I tried many options to make it work with conan, but without success, so I think adding this option as a parameter to `install` function in `cmake` tool will be the best solution instead of some workarounds. ### Have you read the CONTRIBUTING guide? - [X] I've read the CONTRIBUTING guide Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Bug in drawing conditionals in latex and matplotlib <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations After #1278 and #1276, the latex and matplotlib have a bug in drawing conditional gates: This code: ```python from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit q = QuantumRegister(3, 'q') c = ClassicalRegister(1, 'c') circ = QuantumCircuit(q, c) circ.u2(1.57, 0.7, q[0]) circ.measure(q[0], c[0]) circ.u1(0.1, q[1]).c_if(c, 1) circ.draw(output='latex') ``` was drawn correctly before these 2 recent PR merges: ![image](https://user-images.githubusercontent.com/8622381/48883884-e92ff100-edef-11e8-9e8e-a903670ee792.png) but with this patch the conditional vertical wire is gone: ![image](https://user-images.githubusercontent.com/8622381/48883923-22686100-edf0-11e8-85e2-66ba1131daf3.png) This is also an issue with the mpl drawer: ![image](https://user-images.githubusercontent.com/8622381/48883940-36ac5e00-edf0-11e8-9c99-d2e2b466bbbb.png) But the text drawer is fine: ``` q_2: |0>────────────────────────────── ┌─────────┐ q_1: |0>───────────────────┤ U1(0.1) ├ ┌──────────────┐┌─┐└────┬────┘ q_0: |0>┤ U2(1.57,0.7) ├┤M├─────┼───── └──────────────┘└╥┘┌────┴────┐ c_0: 0 ═════════════════╩═╡ = 1 ╞ └─────────┘ ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: Example cross entropy loss, wrong scaling The current examples of using a cross entropy loss, e.g. in https://github.com/google/jax/blob/d90993f798ff00404e2d5869f78d3642d99b6a33/examples/mnist_classifier.py#L43 is ```python def loss(params, batch): inputs, targets = batch preds = predict(params, inputs) return -np.mean(preds * targets) ``` Due to `np.mean` this code introduces a scaling of (1/class_count) to the loss computation. I believe the common/correct scaling should be ```python def loss(params, batch): inputs, targets = batch preds = predict(params, inputs) return -np.mean(np.sum(preds * targets, axis=1)) ``` Also, this may be a silly question, but does the multiplication with 0 have the potential to introduce numerical issues upon gradient computation? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Feature: Single-qubit R(v) gate It would be good to have a single-qubit gate parametrized as: ``` R(v) = exp(-i v.sigma) ``` Explicitly if `|v| = sqrt(vx^2+vy^2+vz^2)`: ``` Rv(vx, vy, vz) = Cos(|v|)-i vz Sinc(|v|), -(i vx + vy) Sinc(|v|) -(i vx - vy) Sinc(|v|), Cos(|v|) +i vz Sinc(|v|) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: TwoLocal entangling map does not work for numpy integers <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations - **Qiskit version**: 0.17.1 - **Python version**: 3 - **Operating system**: ubuntu 18 ### What is the current behavior? When generating an entangling map by virtue of numpy arrays (e.g. np.arange(num)) it raises a ValueError ```ValueError: Invalid value of entanglement: [[(0, 1), (1, 2), (2, 3), (3, 4), (4, 5)]]``` ### Steps to reproduce the problem Minimal working example ``` import qiskit import numpy as np L = 6 def create_map(L): return [(i,i+1) for i in np.arange(L-1)] map1 = create_map(L) print(map1) map_by_hand1 = [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5)] print(map_by_hand1) print(map1 == map_by_hand1) # returns True ansatz = qiskit.circuit.library.TwoLocal(L,"ry","cz",[map_by_hand1],reps=2, insert_barriers=True) ansatz.draw("mpl") # works ansatz = qiskit.circuit.library.TwoLocal(L,"ry","cz",[map1],reps=2, insert_barriers=True) ansatz.draw("mpl") # raises ValueError ``` ### What is the expected behavior? Since map1 == map_by_hand1 is the same value, it is expected that both are viable options to pass as entangling maps. ### Suggested solutions change the isinstance() check in n_local Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Make non interactive plot_histogram accept the same formatting options as the interactive version <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? Both representations, interactive and non-interactive will support the same formatting capabilities. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Datastore Key's reference is missing location identifier in app argument in to_legacy_urlsafe() @dhermes I put this as a new issue because I thought people might have a problem with this too. Please feel free to edit/remove this issue if it is not appropriate to put it here. I was running `pip install --upgrade google-cloud-datastore` to get latest version that has the `key.to_legacy_urlsafe()` implemented in [#3491](https://github.com/GoogleCloudPlatform/google-cloud-python/pull/3491). I tested the method and I found out that the urlsafe generated from the method is still not the same as datastore's urlsafe. I have implemented my own function to generate the urlsafe key before the update was released and so far it worked properly for me (I can share my code if anybody wants). So I compared my function with the to_legacy_urlsafe and I found the problem: ``` reference = _app_engine_key_pb2.Reference( app=self.project, path=_to_legacy_path(self._path), # Avoid the copy. name_space=self.namespace, ) ``` In the app argument, the location identifier is missing unlike in my function where I concatenated the "s~" at the beginning of the string. I think this is the cause of the problem why it was not getting the urlsafe correct, although I don't understand why it needs the location identifier in front of the project name in the first place. Do you think I should send a PR to fix 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 explosion/spaCy codebase. Here's the problem: Incorrect lemma from lemmatizer **Right:** `[w.lemma_ for w in nlp('funnier')]` -> `['funny']` **Wrong:** `[w.lemma_ for w in nlp('faster')]` ->`['faster']` I think for word _faster_ lemma should be _fast_ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Convert rep_times to seconds <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? All other time-based units have been converted to seconds/Hz. rep_times should also be converted. This may not be so straightforward because it is currently defined as an integer. ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Wrong default argument of DirectView.clear DirectView.clear in parallel/client/view.py line 800 seems to have the wrong default-argument for _block_: def clear(self, targets=None, block=False) It should probably be None instead of False. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Datastore: please support specifying read consistency According to the Cloud Datastore docs, the python client does not support setting the read consistency of a query: https://cloud.google.com/datastore/docs/concepts/structuring_for_strong_consistency#datastore-eventual-consistent-query-python Any chance this could be implemented? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Wrong string in nbconvert.py? I was confused when the shim referred me to import from "IPython_nbconvert" but couldn't find any information on such a module or make sense of it. Shouldn't it be "nbconvert"? Or is there a detail that I missed? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Newer versions of pytest are failing because of multiple hypothesis imports. The CI tests fail for newer pytest on account of a pytest warning, see https://travis-ci.org/github/numpy/numpy/jobs/730868650 and https://github.com/pytest-dev/pytest/issues/7810. If I comment out hypothesis related code in `numpy/_pytesttester.py` the warning goes away. The other place hypothesis is imported is `numpy/configtest.py`. I seems we need to get rid of one of the imports. <!-- Please describe the issue in detail here, and fill in the fields below --> ### 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 << your code here >> ``` ### 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)' --> Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 init --name xyz --build doesn't work on Windows - doesn't follow its own advice Pardon the screenshot-as-a-bug-report, I was working on this in a VM as I don't generally use Windows. ![image](https://user-images.githubusercontent.com/38919842/210435090-4612cfdc-305a-4fda-9d06-07e5d644ded0.png) It seems when passing the --build flag to meson init, it runs ninja directly rather than the meson compile wrapper, which leads to a failed build as it does not automatically activate the visual studio environment (which is an *excellent* feature, by the way!). Running meson compile -C build works fine, as shown This is on Windows 10, meson 0.64.1, installed with the MSI installer. Native 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: T5 Conversion from Original Tensorflow Produce rubbish Text ## Environment info - `transformers` version: 3.0.2 - Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic - Python version: 3.6.9 - PyTorch version (GPU?): 1.6.0+cu101 (False) - Tensorflow version (GPU?): 2.3.0 (False) - Using GPU in script?: yes - Using distributed or parallel set-up in script?: no ### Who can help Text Generation: @TevenLeScao T5: @patrickvonplaten ## Information Model I am using (Bert, XLNet ...): T5 The problem arises when using: * [X] the official example scripts: (give details below) * [ ] my own modified scripts: (give details below) The tasks I am working on is: * [ ] an official GLUE/SQUaD task: (give the name) * [X] my own task or dataset: (give details below) ## To reproduce Steps to reproduce the behavior: https://colab.research.google.com/drive/112Jt7VFwHHT-QmMxFPJ764GNJBn0d5eX?usp=sharing ## Expected behavior We have started a big project for source code tasks (generation, summarisation, documentation, etc.) using language models. Using T5 text to text library, the model can predict the input correctly, However, after we converted the Tensorflow checkpoint to huggingface the output text is rubbish. I am not sure if we are doing something wrong during conversion or there is a problem in loading and converting the weights from the original Tensorflow checkpoint to Pytorch. The above Colab re-produce the issue. Important Note: We are using a copy of "adapt_t5_for_covid_19_3b" branch which should fix the conversion problem with only one small modification, setting is_tied to false. Your help is highly appreciated. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Improve tools.vs_installation_path with VSXX.0COMNTOOLS env variable To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. Conan version 1.0.0-beta.5 - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Now `vs_installation_path()` tool uses `vswhere` to locate VS installations. However, `vswhere` is not always installed (in case of versions **prior to** Visual Studio 2017 or Build Tools 2017). My suggestion is to search for `VSXX.0COMNTOOLS` variable to locate the installation path of old VS versions. **Note**: `vswhere` is able to locate old versions of both VS and BuildTools installations (`vswhere -legacy`, `vswhere -products *`). This issue focuses in the case when there is no vswhere in the system (vswhere is only installed with 2017 installers). Maybe add a `vs_comntools` helper method, as `os.getenv("vs15comntools")` and similar is used in other places of the codebase. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Imprecise docstring for np.pad Excerpt of the docstring for np.pad ``` constant_values : sequence or int, optional Used in 'constant'. The values to set the padded values for each axis. ((before_1, after_1), ... (before_N, after_N)) unique pad constants for each axis. ((before, after),) yields same before and after constants for each axis. (constant,) or int is a shortcut for before = after = constant for # <---- HERE all axes. Default is 0. end_values : sequence or int, optional Used in 'linear_ramp'. The values used for the ending value of the linear_ramp and that will form the edge of the padded array. ((before_1, after_1), ... (before_N, after_N)) unique end values for each axis. ((before, after),) yields same before and after end values for each axis. (constant,) or int is a shortcut for before = after = end value for # <---- PERHAPS TOO all axes. Default is 0. ``` Since #6026 has been fixed the first "int" should be replaced by "scalar" or "constant". Not sure about the second one. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Delete DAG REST API Functionality ### Description The stable REST API seems to be missing the functionality to delete a DAG. This would mirror clicking the "Trash Can" on the UI (and could maybe eventually power it) ![image](https://user-images.githubusercontent.com/80706212/131702280-2a8d0d74-6388-4b84-84c1-efabdf640cde.png) ### Use case/motivation _No response_ ### Related issues _No response_ ### Are you willing to submit a PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Introduce validation against the schemas ### What is the expected enhancement? According to the [robustness principle](https://en.wikipedia.org/wiki/Robustness_principle), Qiskit should validate that the `Qobj` emitted complies with the schemas. If doing this is something that should be done upon a new request or during testing, is open for debate. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Getting a datastore.entity by key name is a pain If I know I have a person named Jim, and I want to get Jim, I can't do a look-up by path. What I'd like to do ``` python dataset.get_entity(['Person', 'jim']) ``` or ``` python dataset.entity('Person').get('jim') ``` (or with an ancestor) ``` python dataset.entity('Person').get('jim', parent='parent key name') ``` What I currently have to do ``` python key = Key.from_path(['Person', 'jim']) dataset.get_entity(key) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: We should add an alias to `ssl_verify` -> `verify_ssl` Having this would allow to have parity with anaconda-client configuration and perhaps `verify_ssl` is a better name. Thoughts @kalefranz ? ---- Related to https://github.com/conda/conda/issues/5256 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: numpy.random.sample and numpy.random.random_sample I just noticed in the docs that the page for `numpy.random.sample` indicates that the function should be called as `numpy.random.random_sample`. I understand that this may just indicate that the function may be called as either `sample` or `random_sample`, but it does come across as a mistake when first viewing the page. Perhaps make it more explicit that `random_sample` is an alias of `sample`? Or is this the accepted practice for functions that have aliases? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: SystemPackageTool should call yum update instead of yum check-update To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. conan version 1.5.0 Fedora 28, gcc-8.1.1 from https://github.com/bincrafters/community/issues/345 for instance, attempt to install sdl2/2.0.8@bincrafters/stable recipe on fedora. you'll see that ```yum check-update``` failed with error code 100. this is a legal situation according to the https://access.redhat.com/solutions/2779441. also, as ```yum check-update``` only verifies are updates available, I believe ```yum update``` shall be used instead. see https://www.centos.org/docs/5/html/5.1/Deployment_Guide/s1-yum-useful-commands.html Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: on_before_zero_grad hook ## 📚 Documentation The documentation report the method `on_before_zero_grad`. Strangely, this method is not shown in the lifecycle for hooks documentation. Moreover, when it is defined in a lightning module it is not called. Hence the question : is it a discontinued hook ? If so we could erase its mention in the docs. 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: BigQuery: Constants for all scalar standard SQL data types Related to https://github.com/googleapis/google-cloud-python/issues/7632 (legacy SQL), it would be useful to have constants for all scalar data types for the new `bigquery_v2.types.StandardSqlDataType` format. Currently, one has to construct an object like ``` bigquery_v2.types.StandardSqlDataType( type_kind=bigquery_v2.enums.StandardSqlDataType.TypeKind.INT64 ) ``` It would be convenient if instead one could just say `bigquery.StandardSqlDataTypes.INT64` and similar for all scalar data types. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: SquadProcessor: Wrong reference name/filename in docstring As the docstring of the function `get_train_examples()` refers to `train-v1.1.json`/`train-v2.0.json`, I guess `get_dev_examples()` should refer to `dev-v1.1.json`/`dev-v2.0.json` (but refers to `train-v1.1.json`/`train-v2.0.json`): https://github.com/huggingface/transformers/blob/aa6c3c14b4ff8fbd5d40b100f4aae71fb359d6ae/src/transformers/data/processors/squad.py#L610-L617 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Allow `meson configure` in an uninitialised build dir Currently, running `meson configure` in an uninitialised builddir (such as the srcdir) results in > Directory /path/to/project/ does not seem to be a Meson build directory. This is an issue when a user clones a project and tries to configure it for the first time, but is missing dependencies for components that can be turned off. They have no way of listing the options to know how to turn one off and make the initial `meson builddir/` command pass, as `meson configure` refuses to list them. IMO the condition should be relaxed, disallowing *setting an option* from the srcdir, but letting users *list options*. I'm happy to give this a stab, I just want a green light first :) (Cc: @imirkin, who raised the issue in the Mesa project) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: conan install returns wrong example on version 0.10.1 Hi! When I run the line: > $ conan install --help I give the follow output: > usage: conan install [-h] [--package PACKAGE] [--all] [--integrity] > [--file FILE] [--update] [--scope SCOPE] [-r REMOTE] > [--options OPTIONS] [--settings SETTINGS] > [--build [BUILD [BUILD ...]]] > [reference] > > install in the local store the given requirements. > Requirements can be defined in the command line or in a conanfile. > EX: conans install opencv/2.4.10@lasote/testing Look that the example uses _conans_ instead of _conan_ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: PIN 16: Implement `ValidationFailed` State ## Use Case See [PIN 16](https://github.com/PrefectHQ/prefect/pull/2134) for background. In particular, this blocks full implementation of `Result.validate`. ## Solution Implement a new State, `ValidationFailed`, similar to [other Prefect states](https://github.com/PrefectHQ/prefect/blob/66703e5f0a2d0d035d4d48af013b87d24a7a2a56/src/prefect/engine/state.py), that can be utilized during Result validation. - [x] add new state - [x] add new signal - [x] update state docs and diagram ## Alternatives *Please describe any alternatives you've considered, even if you've dismissed them* Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `'NoneType' object has no attribute 'metadata'` when trying to serialize custom gate on `qiskit-terra==0.21.2` when it used to work on `qiskit-terra==0.21.1` ### Environment - **Qiskit Terra version**: 0.21.2 - **Python version**: 3.8.13 - **Operating system**: Ubuntu ### What is happening? Qsikit errors out when trying to serial a circuit which contains a custom gate, when it used to work before on `qiskit-terra==0.21.1` ### How can we reproduce the issue? Run ```python import io from typing import Optional, Union import numpy as np import qiskit from qiskit.circuit.library import XGate from qiskit.qpy import dump class CustomCXGate(qiskit.circuit.ControlledGate): def __init__( self, label: Optional[str] = None, ctrl_state: Optional[Union[str, int]] = None ) -> None: super().__init__( "cx", 2, [], label, num_ctrl_qubits=1, ctrl_state=ctrl_state, base_gate=XGate() ) def _define(self) -> None: qc = qiskit.QuantumCircuit(2, name=self.name) qc.cx(0, 1) self.definition = qc def __array__(self, dtype: Optional[type] = None) -> np.ndarray: mat = qiskit.circuit._utils._compute_control_matrix( self.base_gate.to_matrix(), self.num_ctrl_qubits, ctrl_state=self.ctrl_state ) return np.asarray(mat, dtype=dtype) circuit = qiskit.QuantumCircuit(2) circuit.append(CustomCXGate(),[0, 1]) buf = io.BytesIO() dump(circuit, buf) ``` This will throw an error ``` circuit.metadata, separators=(",", ":"), cls=metadata_serializer AttributeError: 'NoneType' object has no attribute 'metadata' ``` ### What should happen? The above snippet should run with no errors. ### 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 mesonbuild/meson codebase. Here's the problem: OpenMP dependency explodes if version is not found Using GOMP with the C++ flag `-fdirectives-only` causes Meson to miss a dictionary lookup, and instead of getting an "not found" we get a python backtrace. See [upstream issue](https://gitlab.freedesktop.org/mesa/mesa/-/issues/4632). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: simplegeneric is super out of date, vendor the library or take over maintainership of a fork last uploaded in 2012, and no wheel. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: AST: Audio Spectrogram Transformer # 🌟 New model addition ## Model description In the past decade, convolutional neural networks (CNNs) have been widely adopted as the main building block for endto-end audio classification models, which aim to learn a direct mapping from audio spectrograms to corresponding labels. To better capture long-range global context, a recent trend is to add a self-attention mechanism on top of the CNN, forming a CNN-attention hybrid model. However, it is unclear whether the reliance on a CNN is necessary, and if neural networks purely based on attention are sufficient to obtain good performance in audio classification. In this paper, we answer the question by introducing the Audio Spectrogram Transformer (AST), the first convolution-free, purely attention-based model for audio classification. We evaluate AST on various audio classification benchmarks, where it achieves new state-of-the-art results of 0.485 mAP on AudioSet, 95.6% accuracy on ESC-50, and 98.1% accuracy on Speech Commands V2. Index Terms: audio classification, self-attention ## Open source status * [x] the model implementation is available: https://github.com/YuanGongND/ast * [x] the model weights are available: https://github.com/YuanGongND/ast#Pretrained-Models * [x] who are the authors: @YuanGongND Happy to supervise anyone interested in porting the model :-) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Add an alias 'stable' for 'mergesort' in sort Currently, numpy supports only one way of performing a stable sort i.e. mergesort. Therefore, it makes sense to add an alias for mergesort which will help in making the code more readable. When I see 'mergesort' written in the code, it is not explicit that this was done to make the sort stable. Therefore having a 'stable' option will fit well with the idea "explicit is better than implicit". I would like to give this a try if this issue makes sense and the devs decide to accept this proposal. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Publically expose `QuantumCircuit._layout` and add helper functions for working with embedded layout ### What should we add? As discussed in #8800 the way we're embedding the `Layout` from the transpiler into the output quantum circuit is a bit of a weird place right now. We have a private attribute `_layout` which is used widely across the qiskit code but we provide no public or supported interface for working with this. This came to be an issue for fixing #8800 because to fix the issue we changed what was stored in the `_layout` attribute, and while it is a private layout external users depend on it because it was the only way to reason about the permutation caused by initial layout in the transpiler. To address this gap in 0.23.0 we should introduce a public `QuantumCircuit.layout` attribute and/or also have methods to work with the embedded layout. Like something to return the qargs for the circuit. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: cannot import conda.fetch.cache_fn_url I'm using conda 4.3.2, and the function `conda.fetch.cache_fn_url` does not exist anymore. What to do? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: BigQueryLoadFile does not return the response from load_table_from_file ## Description <!-- A clear description of the bug --> For BigQueryLoadFile, the documentation suggests it: ``` Returns: - the response from `load_table_from_file` ``` In the code, however, the google.cloud.bigquery.job.LoadJob is not returned: ``` try: with open(file, "rb") as file_obj: load_job = client.load_table_from_file( file_obj, table_ref, rewind, size, num_retries, job_config=job_config, ) except IOError: raise IOError(f"Can't open and read from {path.as_posix()}.") load_job.result() # block until job is finished # END OF FUNCTION ``` ## Expected Behavior <!-- What did you expect to happen instead? --> I expected the the load_job object to be returned. I usually inspect this object to identify errors, output_rows, etc. ## Reproduction <!-- A minimal example that exhibits the behavior. --> ``` bq_load_file = gcp.BigQueryLoadFile() load_job = bq_load_file( my_gcs_path, dataset_id=my_dataset, table=my_table, project=my_project, schema=my_schema, create_disposition=google.cloud.bigquery.job.CreateDisposition.CREATE_NEVER, source_format=google.cloud.bigquery.job.SourceFormat.NEWLINE_DELIMITED_JSON, write_disposition=google.cloud.bigquery.job.WriteDisposition.WRITE_APPEND, ) ``` ## Environment <!-- Any additional information about your environment Optionally run `prefect diagnostics` from the command line and paste the information here. --> Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: docker-compose config renders short-form target/published ports as strings in long-form Example `docker-compose.yml` with short-form port mapping: ```yaml version: '3.2' services: jenkins: image: jenkins ports: - "8080:8080" ``` Result of `docker-compose config`: ```bash $ docker-compose config networks: {} secrets: {} services: jenkins: image: jenkins ports: - published: '8080' target: '8080' version: '3.2' volumes: {} ``` When using the resulting configuration, an error occurs: ```bash $ docker-compose config | docker-compose -f - up ERROR: The Compose file is invalid because: services.jenkins.ports.published contains "8080", which is an invalid type, it should be 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 Qiskit/qiskit codebase. Here's the problem: _has_connection('https://qvisualization.mybluemix.net/', port=443) returns False <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: 3.7 - **Operating system**: OSX ### What is the current behavior? Interactive visualizations do not work because `_has_connection('https://qvisualization.mybluemix.net/', port=443)` is returning `False`. ### Steps to reproduce the problem Try it. ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Make `name` a required argument for Flows Right now, there is *too little* friction in naming a flow, which leads to unexpected things in the UI (thanks to auto-versioning, it means lots of flows getting versioned / archived) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Missing backward compat warning when passing declare_dependency() to compiler Hi, Starting in 0.57 one can pass declare_dependency() to compiler.has_function() etc: ``` [](https://mesonbuild.com/Release-notes-for-0-57-0.html#passing-internal-dependencies-to-the-compiler-object)Passing internal dependencies to the compiler object Methods on the compiler object (such as compiles, links, has_header) can be passed dependencies returned by declare_dependency, as long as they only specify compiler/linker arguments or other dependencies that satisfy the same requirements. ``` Which is great! However, there is no warning about doing so even when `meson_version: '>=0.54',` or such. It's pretty easy to accidentally break even just slightly older operating systems like Debian Bullseye. Regards, Andres Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Interactive visualizations require internet connection <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations - **Qiskit Terra version**: 0.6 - **Python version**: 3.6 - **Operating system**: OSX ### What is the current behavior? The new interactive visualizations, introduced in #765 , require having an internet connection: ```javascript requirejs.config({ paths: { qVisualization: "https://qvisualization.mybluemix.net/q-visualizations" } }); ``` when it should be possible to have the required js reside locally. @filemaster and @tansito, is there any overriding issue that prevents having the required js in terra? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Client library incorrectly returns error when FLAC is used with long-running-recognize The client library incorrectly returns an error when anything other than LINEAR16 is used for a long-running recognize request: [https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/speech/google/cloud/speech/sample.py#L173][1] The v1 server support all encodings so this breaks functionality. In general, the client library should almost never do it's own validation; it should always delegate to the server to be sure that that behavior and error messages are consistent across APIs. [1]: https://github.com/GoogleCloudPlatform/google-cloud-python/blob/46e417e838001f4d1eb13f5e3fc2a54d390dd5db/speech/google/cloud/speech/sample.py#L173 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Add keyword arguments to batch_encode_plus() to match encode_plus() ## 🚀Consistent Keyword arguments for batch_encode_plus() to match encode_plus() Currently, features such as `return_special_tokens_mask` that are available for the `encode_plus()` method are not available for `batch_encode_plus()`. It would be nice if all keyword arguments worked in a similar fashion. ## Motivation `batch_encode_plus()` is extremely useful to seamlessly tokenize batches, however, the lack of features forces to fall back to encode_plus() and an _uglier_ implementation. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: Add user-agent info to Jupyter magics Client constructor(s). In order to better prioritize jupyter features such as #8342 and #8143, it is important for Google to know how much these features are used to query BigQuery. This is done by populating the user-agent string with the corresponding "application name" and version information. I propose we use the IPython version information in this string, as these magics are being used from an IPython kernel. Getting the IPython version string: https://stackoverflow.com/a/56265255/101923 Something like: ``` bigquery.Client( client_info=ClientInfo( user_agent="ipython-{}".format(IPython.__version__) ) ) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: QasmQobj includes pulse job information <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior? `QasmQobj` includes pulse specific fields (`meas_lo_freq', 'schedule_los`, etc): QasmQobj(config=QasmQobjConfig(initial_layout=[5, 6], meas_level=2, meas_lo_freq=[], meas_lo_range=[], meas_return='avg', memory=False, memory_slot_size=100, memory_slots=2, n_qubits=2, parameter_binds=[], qubit_lo_freq=[], qubit_lo_range=[], schedule_los=[], shots=1024), experiments=[QasmQobjExperiment(config=QasmQobjExperimentConfig(memory_slots=2, n_qubits=2), header=QobjExperimentHeader(clbit_labels=[['c', 0], ['c', 1]], creg_sizes=[['c', 2]], memory_slots=2, n_qubits=2, name='bell', qreg_sizes=[['q', 2]], qubit_labels=[['q', 0], ['q', 1]]), instructions=[QasmQobjInstruction(name='h', qubits=[0]), QasmQobjInstruction(name='cx', qubits=[0, 1]), QasmQobjInstruction(memory=[0], name='measure', qubits=[0]), QasmQobjInstruction(memory=[1], name='measure', qubits=[1])])], header=QobjHeader(backend_name='ibmq_16_melbourne', backend_version='1.0.0'), qobj_id='68127e25-a6b5-4cb6-9c32-3ce16dea9223', schema_version='1.1.0', type='QASM') ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: text drawer in jupyter notebook is not using a fully-monospaced font It seems that the text drawer is not using a monospaced font when in jupyter notebooks (at least, for the black square character). <img width="510" alt="Screen Shot 2019-07-07 at 3 52 32 PM" src="https://user-images.githubusercontent.com/766693/60773161-4f435d00-a0cf-11e9-9e68-3ccfd64ffd5c.png"> vs ``` ┌───┐ ┌───┐ q_0: |0>┤ H ├──■────■────■────■────■─────────■───────┤ H ├ ├───┤ │ │ ┌─┴─┐┌─┴─┐ │ ┌───┐ │ └───┘ q_1: |0>┤ H ├──┼────┼──┤ X ├┤ X ├──┼──┤ H ├──┼──────────── ├───┤ │ ┌─┴─┐└───┘└───┘┌─┴─┐└───┘ │ ┌───┐ q_2: |0>┤ H ├──┼──┤ X ├──────────┤ X ├───────┼──┤ H ├───── ├───┤┌─┴─┐└───┘ └───┘ ┌─┴─┐└───┘┌───┐ q_3: |0>┤ H ├┤ X ├─────────────────────────┤ X ├─────┤ H ├ └───┘└───┘ └───┘ └───┘ ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Add compiler flags detection method This is especially important for C/C++ compilers, but I assume that other compilers that expose particular flags on the command line would benefit from it. Currently, if I wanted to select a set of compiler arguments to pass to my projects I need to write something like this: ``` test_args = [ '-ffast-math', '-fstrict-aliasing', '-Wpointer-arith', '-Wformat=2', '-Wstrict-prototype', '-Werror=init-self' ] test_args_prog = ''' int someVariableJustForFun; ''' foreach arg: test_args if cc.compiles(c_test_prog, name: 'check for ' + arg, c_args: [ arg ]) common_c_args += arg endif endforeach ``` This does not really work, because `cc.compiles()` does not have a `c_args` argument. (translate to other, non-C languages for other compilers) Since the `compiler` object already has various discovery methods, a `has_flag` or `has_argument` method would allow a more compact syntax: ``` foreach arg: test_args if cc.has_flag(arg) common_c_args += [ arg ] endif endforeach ``` as well as ensuring portability. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: generating RPM spec file fails With this error: ``` Traceback (most recent call last): File "/tmp/meson/mesonbuild/mesonmain.py", line 279, in run app.generate() File "/tmp/meson/mesonbuild/mesonmain.py", line 167, in generate intr.run() File "/tmp/meson/mesonbuild/interpreter.py", line 1314, in run self.evaluate_codeblock(self.ast, start=1) File "/tmp/meson/mesonbuild/interpreter.py", line 1336, in evaluate_codeblock raise e File "/tmp/meson/mesonbuild/interpreter.py", line 1330, in evaluate_codeblock self.evaluate_statement(cur) File "/tmp/meson/mesonbuild/interpreter.py", line 1455, in evaluate_statement return self.method_call(cur) File "/tmp/meson/mesonbuild/interpreter.py", line 2608, in method_call return obj.method_call(method_name, self.flatten(args), kwargs) File "/tmp/meson/mesonbuild/interpreter.py", line 996, in method_call value = fn(state, args, kwargs) File "/tmp/meson/mesonbuild/modules/rpm.py", line 97, in generate_spec_template fn.write('BuildRequires: pkgconfig(%s)\n' % dep) TypeError: not all arguments converted during string formatting ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [requires} in conanfile.txt gives no error The typo: ``` [requires} ... ``` in `conanfile.txt` does not give any error indication at all when running `conan install ...`. The way to see that something is wrong is that it doesn't do anything, but finding the cause was not as easy as it could've been. This is on 0.9.2 on Ubuntu 15.10. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: completed_count reports only successfully completed tasks Not sure if that's on purpose but it looks like `completed_count` only takes into account the tasks that have completed successfully: https://github.com/celery/celery/blob/3db7c9dde9a4d5aa9c0eda8c43a219de1baa9f02/celery/result.py#L633 Would it make more sense to report: ``` return sum(int(result.ready()) for result in self.results) ``` the task count in the "ready" state? Happy to open a PR if that's an acceptable change. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Useless warning when calling conan package Conan version: `1.2.3` With the command: ``` conan package --source-folder /path/to/myProject --build-folder /path/to/myProject/build --package-folder /path/to/myPorject/../../Staging /path/to/myProject ``` And the `package()` in `/path/to/myProject/conanfile.py`: ``` def package(self): self.copy("myProject", src="bin", dst="linux64/bin") self.copy("myProject.exe", src="bin", dst="win32/bin") ``` The following output is produced: ``` PROJECT: Generating the package PROJECT: Package folder /path/to/myPorject/../../Staging PROJECT: Calling package() PROJECT package(): WARN: No files copied! PROJECT package(): Copied 1 '' files: myProject PROJECT: Package 'Pre-release' created ``` The warning: `PROJECT package(): WARN: No files copied!` in this scenario is useless, and even misleading. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add a convenience method to fetch data for a single row @jonparrott would prefer: ```python row = database.read_row(table='Albums', columns=('MarketingBudget',), key=[1, 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: Mock devices have not been updated to match new hardware basis gateset <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: N/A - **Operating system**: N/A ### What is the current behavior? Current defined mock (Fake) device configurations in `qiskit.test.mock.backends`, for example yorktown: https://github.com/Qiskit/qiskit-terra/blob/4d3ed6a3e972a79341ebf305f4c4d7f25bb256fb/qiskit/test/mock/backends/yorktown/conf_yorktown.json#L1 Are still using `u1/u2/u3` gates instead of the new basis gates reported in slack: `['id', 'rz', 'sx', 'x', 'cx']` From the slack channel the following backends should be using this new basis gateset: ``` ibmq_5_yorktown ibmq_16_melbourne ibmq_vigo ibmq_ourense ibmq_armonk ibmq_valencia ibmq_athens ibmq_santiago ``` ### Steps to reproduce the problem N/A ### What is the expected behavior? `qiskit/test/mock/backends/conf_yorktown.json` and others listed above should have the correct basis gateset. ### Suggested solutions Update the appropriate json files. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Use `contract_nodes` from retworkx for ConsolidateBlocks pass ### What is the expected enhancement? For improved performance and cleaner code, we should use `PyDiGraph.contract_nodes` to replace a bulk of the logic in `DAGCircuit.replace_block_with_op`, once it becomes available in a future retworkx release. Contract nodes PR: https://github.com/Qiskit/retworkx/pull/487 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: filesensor wildcard matching does not recognize directories **Apache Airflow version**: 2.1.0 **Environment**: - **Cloud provider or hardware configuration**: - **OS** (e.g. from /etc/os-release): - **Kernel** (e.g. `uname -a`): - **Install tools**: - **Others**: **What happened**: FileSensor does not recognize directories with wildcard glob matching. **What you expected to happen**: FileSensor would sense a directory that contains files if it matches with the wild card option. **How to reproduce it**: Create a directory with a pattern that matches a wild card using glob **Anything else we need to know**: Code from FileSensor source that I believe to cause the issue: ``` for path in glob(full_path): if os.path.isfile(path): mod_time = os.path.getmtime(path) mod_time = datetime.datetime.fromtimestamp(mod_time).strftime('%Y%m%d%H%M%S') self.log.info('Found File %s last modified: %s', str(path), str(mod_time)) return True for _, _, files in os.walk(full_path): if len(files) > 0: return True return False ``` I believe to resolve the issue `full_path` in os.walk should be `path` instead. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Cloud PR references Core See https://github.com/PrefectHQ/cloud/pull/659 for more details Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: AttributeError: 'BlockingKernelClient' object has no attribute 'started_channels' I have an app that is centered around IPython running in qt (https://github.com/neuropy/neuropy/blob/master/neuropy/main.py). Yesterday I updated IPython from git, and have had to change a few things since the refactoring about 3 months ago, which split a kernel client off of the kernel manager (see #3011). In the process, I came across the error in the title. This error only happens when I try to create a normal two-process app, but not when creating an inprocess app, ie, it happens with QtKernelManager, but not with QtInProcessKernelManager. I think a BlockingKernelClient happens to be the default for QtKernelClient, which may be due to #3222. Not sure how to fix this in IPython, but to get around it, I set the client_factory to QtKernelClient, and then calling QtKernelManager.client() works fine. My minimalist example is in this gist: https://gist.github.com/mspacek/6018206 Can this be fixed so that setting up the 2-process app doesn't require the extra step of changing the client_factory? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: "extends" and multiple yml files don't work together I'm currently trying to use the new "multiple files" (#2051) feature and got stuck on extends not working anymore when used together. Example: ``` # common.yml baseservice: labels: - "my.label=my-value" environment: MY_ENV: "MY_VALUE" # base.yml service1: extends: file: common.yml service: baseservice ...more stuff... # dev.yml service2: extends: file: common.yml service: baseservice ...more stuff... ``` When started with: ``` docker-compose -f base.yml -f dev.yml up ``` the services do not include the labels and env vars from "baseservice". Just for testing purposes, I tried to use a random name for the extends/file field in dev.yml and it did not complain about not found files, which looks like it doesn't even try to open the 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] Output of 'conan search <ref> --revisions --raw' failure for single result ### Environment Details (include every applicable attribute) * Conan version: Conan version 1.20.3 * Python version: py 3 ### Steps to reproduce (Include if Applicable) Raw argument of `conan search --raw` is not honoured if there is a `@` in the reference. More than one package in the cache: ``` ⇒ conan search dep/0.1 --revisions --raw dep/0.1#f732ec8d19fb3190c01f3df44f48b0e8 dep/0.1@issue/testing#f732ec8d19fb3190c01f3df44f48b0e8 ``` Asking for a specific one (`--raw` is not honoured): ``` ⇒ conan search dep/0.1@ --revisions --raw Revisions for 'dep/0.1': f732ec8d19fb3190c01f3df44f48b0e8 (No time) ⇒ conan search dep/0.1@issue/testing --revisions --raw Revisions for 'dep/0.1@issue/testing': f732ec8d19fb3190c01f3df44f48b0e8 (No time) ``` If there is only one in the cache (wihtout user/channel) it works: ``` ⇒ conan search dep/0.1 --revisions --raw dep/0.1#f732ec8d19fb3190c01f3df44f48b0e8 ``` If there is only one in the cache (with user/chanel) it fails: ``` ⇒ conan search dep/0.1 --revisions --raw dep/0.1@issue/testing#f732ec8d19fb3190c01f3df44f48b0e8 ⇒ conan search dep/0.1@issue/testing --revisions --raw Revisions for 'dep/0.1@issue/testing': f732ec8d19fb3190c01f3df44f48b0e8 (No time) ``` * Something doesn't behave the same when there is a `@` in the query. * And have a look to the JSON output too Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Use `black` for autoformatting [`black`](https://github.com/python/black) has become popular enough for Python formatting that it was officially adopted by the PSF, and is being used to format the standard library. I like it because it makes code that's very consistent to read, which makes development ever so slightly easier for everyone. In case this PR is desired but the actual formatting changes interfere with other current branches, I can rebase to leave out the actual formatting for now. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 ipython/ipython codebase. Here's the problem: check_security_dir() and check_pid_dir() fail on network filesystem For testing purposes and quick setup, I use SSHFS as a simple network filesystem. On Linux and Mac OSX there is FUSE SSHFS available. On Windows there's Dokan SSHFS. I use SSHFS because Samba and NFS share were leading to incorrect uid/gid mapping. At least for Mac OSX and Ubuntu is was possble to avoid these problems by using SSHFS. When starting ipengine on Windows, IPython executes check_security_dir() and check_pid_dir() which both try to set the permissions using chmod to 0700. This fails in my setup. After commenting out the offending lines in core/profiledir.py ipengine works. It would be nice to be able to configure the permission setup. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: DataCollatorForWholeWordMask error persists after fix After quick fix #8379 Tried same flow of #8378 **Gives error:** ``` /usr/local/lib/python3.6/dist-packages/transformers/data/data_collator.py in __call__(self, examples) 321 for e in examples: 322 ref_tokens = [] --> 323 for id in e["input_ids"].tolist(): 324 token = self.tokenizer._convert_id_to_token(id) 325 ref_tokens.append(token) AttributeError: 'list' object has no attribute 'tolist' ``` When I tried with _DataCollatorForLanguageModeling_, trainer works as usual. Can you help me debug this systematically and explain your reasoning?