[System] You are an expert software 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: Remove pkgs/pro from defaults in conda 4.6 For the release for conda 4.6.0, remove `https://repo.anaconda.com/pkgs/pro` from the default value for `defaults`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: gnome.generate_gir() is failing with address sanitizer. Compiling fwupd with: meson .. -Db_sanitize=address ...completes until it gets to the `g-ir-scanner` calls. This returns: [1/4] 'Generating Fwupd-1.0.gir with a custom command.' FAILED: libfwupd/Fwupd-1.0.gir '/usr/bin/g-ir-scanner' '../libfwupd/fwupd-client.c' '../libfwupd/fwupd-enums.c' '../libfwupd/fwupd-enums.h' '../libfwupd/fwupd-error.c' '../libfwupd/fwupd-remote.c' '../libfwupd/fwupd-result.c' '-I/usr/include/gobject-introspection-1.0' '-I/usr/include/glib-2.0' '-I/usr/lib64/glib-2.0/include' '-pthread' '--no-libtool' '--namespace=Fwupd' '--nsversion=1.0' '--warn-all' '--output' 'libfwupd/Fwupd-1.0.gir' '-I/home/hughsie/Code/fwupd/libfwupd' '-I/home/hughsie/Code/fwupd/build/libfwupd' '-I./libfwupd/..' '-I../libfwupd/..' '--include=GObject-2.0' '--cflags-begin' '-fstack-protector-strong' '-Wwrite-strings' '--cflags-end' '--symbol-prefix=fwupd' '--identifier-prefix=Fwupd' '--pkg-export=fwupd' '..' '-I/usr/include/gio-unix-2.0/' '-I/usr/include/glib-2.0' '-I/usr/lib64/glib-2.0/include' '-pthread' '-I/usr/include/libsoup-2.4' '-I/usr/include/libxml2' '-L/home/hughsie/Code/fwupd/build/libfwupd' '--extra-library=gio-2.0' '--extra-library=gobject-2.0' '--extra-library=glib-2.0' '--extra-library=soup-2.4' '--library' 'fwupd' ==6599==ASan runtime does not come first in initial library list; you should either link runtime to your application or manually preload it with LD_PRELOAD. Command '[u'/home/hughsie/Code/fwupd/build/tmp-introspectKke532/Fwupd-1.0', u'--introspect-dump=/home/hughsie/Code/fwupd/build/tmp-introspectKke532/functions.txt,/home/hughsie/Code/fwupd/build/tmp-introspectKke532/dump.xml']' returned non-zero exit status 1 I think the gnome module needs to remove the address sanitization flags before passing them to `/usr/bin/g-ir-scanner` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: Batching broken for non-monoidal reducers repro: >>> import jax.numpy as np >>> from jax import vmap >>> vmap(np.any)(np.array([[True, False], [False, False]])) jax/lib/xla_bridge.py:138: UserWarning: No GPU found, falling back to CPU. warnings.warn('No GPU found, falling back to CPU.') Traceback (most recent call last): File "<stdin>", line 1, in <module> File "jax/api.py", line 149, in batched_fun out_flat = batching.batch(flat_fun, in_flat, in_axes_, out_axes) File "jax/interpreters/batching.py", line 43, in batch out_val, out_dim = batch_transform(fun).call_wrapped(in_vals, in_dims) File "jax/linear_util.py", line 85, in call_wrapped ans = self.f(*args, **self.kwargs) File "jax/numpy/lax_numpy.py", line 607, in reduction result = lax.reduce(a, _reduction_init_val(a, init_val), op, dims) File "jax/lax.py", line 260, in reduce dimensions=tuple(dimensions)) File "jax/core.py", line 74, in bind out_tracer = top_trace.process_primitive(self, tracers, kwargs) File "jax/interpreters/batching.py", line 119, in process_primitive val_out, dim_out = batched_primitive(vals_in, dims_in, **params) TypeError: reducer_batcher() takes exactly 4 arguments (3 given) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: OpenAIGPTModel raises exception with `afn="Relu"` ### System Info - `transformers` version: 4.30.2 - Platform: Linux-5.4.0-148-generic-x86_64-with-glibc2.31 - Python version: 3.9.16 - Huggingface_hub version: 0.16.4 - Safetensors version: 0.3.1 - PyTorch version (GPU?): 2.0.1+cu117 (True) - Tensorflow version (GPU?): not installed (NA) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: no - Using distributed or parallel set-up in script?: no ### Who can help? @ArthurZucker @younesbelkada ### 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 ```python from transformers.models.openai import OpenAIGPTConfig, OpenAIGPTModel OpenAIGPTModel(OpenAIGPTConfig(n_vocab=1, n_embed=1, afn="relu"))(torch.eye(1, dtype=int)) # raises: # AttributeError: 'ReLU' object has no attribute 'size' ``` ### Expected behavior I would expect no error to be raised and the calculation to be performed. For example, the following code behaves as expected: ```python OpenAIGPTModel(OpenAIGPTConfig(n_vocab=1, n_embed=1, afn="gelu"))(torch.eye(1, dtype=int)) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: .hgtags included in dist archive **Describe the bug** When running `ninja dist` the resulting `tar.xz` includes the `.hgtags` files that distros (namely debian) will mark as a packaging error. **To Reproduce** Run `ninja dist` on a mercurial repository that has at least 1 tag. **Expected behavior** That the archive does not have the `.hgtags` file in it. I just did an `hg archive` and unfortunately saw that `.hgtags` was there as well. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? Native * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.) Linux, Debian Unstable * what Python version are you using e.g. 3.8.0: 3.7.6 * what `meson --version`: 0.53.1 * what `ninja --version` if it's a Ninja build: 1.9.0 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: docker-compose version should show git hash It would be nice if `docker-compose --version` showed also the Git SHA which the "binary" was compiled with. Having some struggles with compiling Compose, I wanted to verify that I was in fact using the correct 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 gitpython-developers/GitPython codebase. Here's the problem: commit requires author to be Actor, not string Documentation is wrong about the author parameter: it has to be an Actor, not a string. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Allow colors for container log messages to be specified in docker-compose.yml When debugging a particular group of containers run with `docker-compose`, one becomes very familiar with looking for messages reported from a certain color. However, every once in a while these colors unpredictably change. It would be nice if the RGB code could be specified for each container in the `docker-compose.yml` file, to ensure the colors are always what I expect. Including @nweston, whose brought this idea to my attention. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: scatter/gather fail with targets='all' ``` python dview = rc.direct_view(targets='all') dview.scatter('x', range(16)) ``` gives: ``` TypeError: 'a' not valid str target, must be 'all' ``` Because it is trying to scatter across targets `['a', 'l', 'l']`. Fix coming... Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: qc.qasm() does not create valid QASM when "qreg" or "creg" are register names <!-- ⚠ 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**: MacOS ### What is the current behavior? If you set the name of circuit register as `qreg` or `creg` in your QASM, then the parser fails. ### Steps to reproduce the problem In general, ny name is allow for registers ```python from qiskit import * qr = QuantumRegister(1,'qreg') cr = ClassicalRegister(1,'creg') qc = QuantumCircuit(qr, cr) print(qc.qasm()) ``` ``` OPENQASM 2.0; include "qelib1.inc"; qreg qreg[1]; creg creg[1]; ``` However, the parse seems not supporting `qreg` or `creg` as names: ```python QuantumCircuit.from_qasm_str(qc.qasm()) ``` ``` QasmError: "Expected an ID, received 'qreg'" ``` ### What is the expected behavior? I'm not fully sure if `qreg` and `creg` are reserved words in the specification. If so, It should not be allowed to do `ClassicalRegister(1,'creg')` (or, alternatively, change the name when `qc.qasm()`, with a warning). Otherwise, the parser needs to be fixed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: rzz gate <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.7.2 - **Python version**: 3.6.6 - **Operating system**: Windows 10 ### What is the current behavior? rzz gate appears to give incorrect results ### Steps to reproduce the problem rzz gate rule defined in https://github.com/Qiskit/qiskit-terra/blob/master/qiskit/extensions/standard/rzz.py ``` CnotGate(q[0], q[1]), U1Gate(self.params[0], q[0]), CnotGate(q[0], q[1]) ``` ### What is the expected behavior? I think it should be ``` CnotGate(q[0], q[1]), U1Gate(self.params[0], q[1]), CnotGate(q[0], q[1]) ``` the u1 phase should be on the target instead of control ### Suggested solutions modify rzz gate definition to give the right behavior. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: PassManager should record execution time for each pass <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? The `PassManager` should record the execution time for each pass that it runs, and this information should be easily retrievable. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Support gcc 7.4 in settings.yml Conan: 1.19.1 gcc 7.4 is the current system compiler on [Ubuntu 18.04 Bionic](https://packages.ubuntu.com/bionic/gcc) but is not "supported" by conan at the moment out of the box. Considering that Bionic is even a LTS versions I think it is important to add this gcc versions to conan's default `settings.yml`. For reference, gcc 7.4 was apparently already (released in [December 2018](https://gcc.gnu.org/gcc-7/)). Best, Mario Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: non-zero exit status not returned when error happens with `-c` This should return an exit status of 1 IIUIC ```bash $ ipython -c "import blah" Using matplotlib backend: Qt5Agg --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) <ipython-input-1-253b2e59e51a> in <module>() ----> 1 import blah ModuleNotFoundError: No module named 'blah' $ echo $? 0 ``` This works for the normal python interpreter ```bash $ python -c "import blah" Traceback (most recent call last): File "<string>", line 1, in <module> ModuleNotFoundError: No module named 'blah' $ echo $? 1 ``` and if you use a file instead of `-c` ```bash $ echo "import blah" > test.py $ ipython test.py Using matplotlib backend: Qt5Agg --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) ~/Desktop/civis-jupyter-notebook/test.py in <module>() ----> 1 import blah ModuleNotFoundError: No module named 'blah' $ echo $? 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 dagster-io/dagster codebase. Here's the problem: [dagster-bigquery-pandas] investigate usage of load_table_from_dataframe and to_dataframe instead of pandas_gbq ### What's the use case? bigquery provides an out of box `load_table_from_dataframe` and `to_dataframe` methods that we could use instead of pandas_gbq. Would need to investigate that these methods will be drop-in replacements. For example, based on api docs it is unclear is load_table_from_dataframe will append or overwrite an existing table https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.client.Client#google_cloud_bigquery_client_Client_load_table_from_dataframe https://cloud.google.com/bigquery/docs/samples/bigquery-load-table-dataframe https://cloud.google.com/bigquery/docs/samples/bigquery-list-rows-dataframe this would also allow custom LoadJobConfig https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.job.LoadJobConfig ### Ideas of implementation _No response_ ### Additional information _No response_ ### Message from the maintainers Impacted by this issue? Give it a 👍! We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: For loop support in python interpreter of Transformer agent ### Feature request Hello, I would like to add for loop support in https://github.com/huggingface/transformers/blame/c2393cad085e3875ee2206d917d46d15e50602a3/src/transformers/tools/python_interpreter.py Any idea about how to implement this? ### Motivation For loop is quite common in generated code. Usually it will not cause infinite loop. ### Your contribution An additional 'elif' for 'ast.For' before the 'else' will be nice: https://github.com/huggingface/transformers/blame/c2393cad085e3875ee2206d917d46d15e50602a3/src/transformers/tools/python_interpreter.py#L132 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: flake8 error on master branch, file compose/bundle.py When trying to run the test suite on master branch the pre-commit hook fails with an flake8 error: ``` $ script/test/default Flake8...................................................................Failed hookid: flake8 compose/bundle.py:124:5: E722 do not use bare except' ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Default DOMWidget Padding should be 0px, and Button styling issue @jdfreder ![padding](https://cloud.githubusercontent.com/assets/2397974/6379572/53fb8cfc-bd01-11e4-9786-f350566688b0.png) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: docker-compose config doesn't print ':' when first port is 0 From @lawrencepit in docker/for-mac#1824: We have this docker-compose.yml file: ``` version: '2' services: test: image: test container_name: test ports: - 0:80 ``` Then: ``` $ docker-compose --file docker-compose-test.yml config services: test: container_name: test image: test ports: - 080/tcp version: '2.0' ``` Expected result: The output should be: ``` ports: - 0:80/tcp ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Change default value for 'allow_softlinks' from True to False The `allow_softlinks` configuration parameter can be dangerous. Softlinks into prefixes directly from the package cache will often lead to environment corruption. It was an oversight that the default value for `allow_softlinks` is set to `True`. In conda 4.4, we should definitely change the default value to `False`. We should also consider it even for the next 4.3.x release. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: MAINT: exec_command() cleanup With the impending demise of `exec_command()` related to #11824, there will soon only be unit tests that call this function in our code base even though it will no longer be used. The unit tests are in `numpy/distutils/tests/test_exec_command.py` -- will we want to remove the tests that specifically call `exec_command()`? I assume we won't want to unit test the standard library stuff we've replaced `exec_command()` with. Also, do we need a deprecation marker of some sort on `exec_command()` before removing it? I'm not sure how public-facing / used it is; maybe I need to check that deprecation policy NEP again! Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: num_training_batches rounds down, causing 0 batches count ## 🐛 Bug self.num_training_batches is defined using int [here](https://github.com/williamFalcon/pytorch-lightning/blob/ca73b70d15bc8db3f57c1fd2d3bf152e6e1d7c4e/pytorch_lightning/trainer/data_loading.py#L52), which rounds it down to 0 when a small training_percent_check or overfit_pct is used, even though at least 1 batch is still processed. This does not cause any errors in "vanilla" lightning, but crashes any user code that uses the number of batches in a division (for example to get an average of some quantity over batches). ### To Reproduce Steps to reproduce the behavior: Set the training percentage to a small enough percentage that the number of examples is smaller than the batch size for a given dataset. This would require a very simple fix, either to use `math.ceil()` or `max(1, self.num_training_batches)`, depending of how the quantity is expected to behave in the rest of the code. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: No module named 'transformers' after installing from source ### System Info Ubuntu 22.04 in Windwos WSL 2. ### Who can help? _No response_ ### Information - [ ] The official example scripts - [ ] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction I just followed the doc [here](https://huggingface.co/docs/transformers/installation#install-from-source). However, error occured as below: ``` wu@DESKTOP-COM:~/llama.cpp/transformers$ python Python 3.10.6 (main, Mar 10 2023, 10:55:28) [GCC 11.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import transformers Traceback (most recent call last): File "<stdin>", line 1, in <module> ModuleNotFoundError: No module named 'transformers' ``` ### Expected behavior No error occured. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: SyntaxWarning with Python 3.8 ``` >>> import sys, numpy; print(numpy.__version__, sys.version) C:\Program Files\Python38\lib\site-packages\numpy\ma\core.py:4466: SyntaxWarning: "is" with a literal. Did you mean "=="? if self.shape is (): 1.16.4 3.8.0b2 (tags/v3.8.0b2:21dd01d, Jul 4 2019, 16:00:09) [MSC v.1916 64 bit (AMD64)] ``` [Python 3.8](https://docs.python.org/3.8/whatsnew/3.8.html): > now produces a [SyntaxWarning](https://docs.python.org/3.8/library/exceptions.html#SyntaxWarning) when identity checks (`is` and `is not`) are used with certain types of literals (e.g. strings, ints). These can often work by accident in CPython, but are not guaranteed by the language spec. The warning advises users to use equality tests (`==` and `!=`) instead. https://bugs.python.org/issue34850, https://github.com/python/cpython/pull/9642, https://github.com/python/cpython/commit/3bcbedc9f1471d957a30a90f9d1251516b422416 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: [dagster-bigquery] add `timeout` configuration ### What's the use case? ability to configure `timeout` for all of the bigquery client methods ### Ideas of implementation _No response_ ### Additional information _No response_ ### Message from the maintainers Impacted by this issue? Give it a 👍! We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Gates do not check if complex inputs passed in <!-- ⚠ 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? This works: ```python from qiskit import * qc = QuantumCircuit(2, 2) qc.h(0) qc.rx(1+1j, 0) qc.cx(0, 1) qc.measure([0, 1], [0, 1]) qc.draw() ``` but it should not. It only gets caught later with: ``` TypeError: can't convert complex to float ``` ### 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 mesonbuild/meson codebase. Here's the problem: sizeof compiler check should #include after {prefix} Else, things like `#define _GNU_SOURCE` do not get applied to it. https://github.com/systemd/casync/pull/160#issuecomment-406201718 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: storage: Switch to JSON API v1 Google Cloud Storage v1beta2 is deprecated and will be shut down in a couple of months. Please upgrade to v1: https://developers.google.com/storage/docs/json_api/release_notes#april302014 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 timeout parameter to all Client and Job methods where applicable The upcoming fix for #7831 will add a `timeout` parameter to the `QueryJob.done()` method. As this is not the only public method that can get stuck at the transport layer, we need to add an option to specify a timeout to these methods, too. **Update:** This excludes the `load_table_from_file()` method and methods depending on it. These will be handled separately in #10005. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 ignores top-level hooks 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. I'm using Conan version 1.11.2 on Windows 10. While trying out the new "hooks" feature I had problems installing them using "conan install". I did the following: * Create a folder with the following folder structure ``` myconfig ├── hooks │ ├── my-hook.py │ └── conan.conf ``` * Call `conan config install myconfig` I would expect, that the "my-hook.py" will be copied in to the ".conan/hooks" directory. Instead, nothing is copied. I noticed, that it works, if the hook is in a subfolder, i.e. a structure like ``` myconfig ├── hooks │ ├── my-hook │ |---- my-hook.py └── conan.conf ``` is copied properly. Did I miss something? Is it now *required* to use subfolders in the hooks directory? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: preprocessing_num_workers missing in run_summarization_no_trainer Hello, I find that in script: https://github.com/huggingface/transformers/blob/master/examples/pytorch/summarization/run_summarization_no_trainer.py The `preprocessing_num_workers` does not exist. It just appears in the arguments, but does not take effect in dataset map operations. So is it intentionally missing ? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: VQE should batch per default ### What should we add? The VQE is most commonly used with SPSA or gradient descent, which require 2 or (up to) 2 * `num_parameters` circuit evaluations per iterations, respectively. Since the new execution model is shifting from using the runtime VQE program to the primitive-based VQE in Terra, we should also enable batching as many circuits per default as possible. Otherwise the standard usage of the VQE will be much slower than necessary (~2 or 2 * `num_parameters` to slow 😅). This is something the runtime VQE also did, maybe we can use the same defaults? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 start strange behviour when containers are not available When I use `docker-compose start ` before a `docker-compose up` I obtain the following result: ``` Starting mongo ... done Starting elasticsearch ... done Starting transporter ... done Starting pdf ... done Starting back ... done Starting front ... done ERROR: No containers to start ``` This behaviour is pretty strange as the output is contradictory it says that it start all containers but the errors say the opposite. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: casting parametric parameters into int in addition to floats <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations - **Qiskit version**: 0.20.0 - **Python version**: 3.8.5 - **Operating system**: OSX ### What is the current behavior? When trying to bind an integer for a circuit.Parameter() into a qiskit.pulse.library.Waveform(), the parameter needs to be casted into a float, then into an integer before it can be bound. references: https://qiskit.org/documentation/tutorials/pulse/6_pulse_scheduler.html ### Steps to reproduce the problem def gs_pulse(duration): duration = int(float(duration)) # hacky solution needed ATM... TODO? return qiskit.pulse.library.GaussianSquare(duration,0.5,64,64) def random_2q_gate(x): sched = qiskit.pulse.Schedule() sched = sched.insert(0,Play(gs_pulse(x), DriveChannel(1))) return sched my_random_2q_gate = ParameterizedSchedule(random_2q_gate, parameters=['x']) ### What is the expected behavior? binding a parameter should maintain the datatype through to the parameterExpression ### Suggested solutions Talk to @lcapelluto , @taalexander , or #4940 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: typify for str + NoneType is wrong https://github.com/conda/conda/pull/5107#issuecomment-296356913 It still seems to me as if `typify()` is doing something wrong: ```python >>> from conda._vendor.auxlib.configuration import typify >>> typify('false', str) 'false' >>> typify('false', (str, type(None))) 'False' ``` Why should addition of type `None` introduce such a change? The code flow is: ```python elif not (type_hint - (STRING_TYPES_SET | {NoneType})): value = typify_str_no_hint(text_type(value)) return None if value is None else text_type(value) ``` I wonder why not just return `text_type(value)`? Why call `typify_str_no_hint`? typify for str + NoneType is wrong https://github.com/conda/conda/pull/5107#issuecomment-296356913 It still seems to me as if `typify()` is doing something wrong: ```python >>> from conda._vendor.auxlib.configuration import typify >>> typify('false', str) 'false' >>> typify('false', (str, type(None))) 'False' ``` Why should addition of type `None` introduce such a change? The code flow is: ```python elif not (type_hint - (STRING_TYPES_SET | {NoneType})): value = typify_str_no_hint(text_type(value)) return None if value is None else text_type(value) ``` I wonder why not just return `text_type(value)`? Why call `typify_str_no_hint`? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Possible DST issue? I just noticed a crontab task setup to run at 12:00 today for some reason ran at at both 11:00 and then again at 12:00. I've checked the server date and time and it does seem to have made the switch to winter time last night so i'm not sure if this was a fluke or really related to the DST but i don't see any other reason for it to run the task twice... My crontab setup, for this particular task, looks like this: ``` from celery.schedules import crontab CELERYBEAT_SCHEDULE = { 'event_suggestions': { 'task': 'events.event_suggestions', 'schedule': crontab(hour=12, minute=0, day_of_week=1) } } ``` Versions are: celery==3.0.24 django-celery==3.0.23 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Add autodetect arg in BQCreateExternalTable Operator ### Apache Airflow Provider(s) google ### Versions of Apache Airflow Providers _No response_ ### Apache Airflow version 2.2.4 (latest released) ### Operating System macOS Monterey ### Deployment Virtualenv installation ### Deployment details _No response_ ### What happened Autodetect parameter is missing in the create_external_table function in BQCreateExternalTableOperator because of which one cannot create external tables if schema files are missing See function on line 1140 in this [file](https://github.com/apache/airflow/blob/main/airflow/providers/google/cloud/operators/bigquery.py) ### What you expected to happen If autodetect argument is passed to the create_external_table function then one can create external tables without mentioning the schema for a CSV file leveraging the automatic detection functionality provided by the big query ### How to reproduce Simply call BigQueryCreateExternalTableOperator in the dag without mentioning schema_fields or schema_object ### Anything else _No response_ ### Are you willing to submit PR? - [X] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Spanner ignores provided credentials when executing a query. (This bug is re-posted from an e-mail I received yesterday.) ---------------------- We are using python spanner client libraries, and I have a credentials issue in executing a sql query. Seems like executing a sql ignores the provided credentials to the client and just try to use the default credentials. The code looks like: ```python spanner_client = spanner.Client(credentials=credentials, project=project_id) instance = spanner_client.instance(instance_id) database = instance.database(database_id) database.execute_sql(stmt) ``` Debugging the code for a bit, I found out that eventually the code [will try to create a session](https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/spanner/google/cloud/spanner/session.py#L97) and it will [try to get the spanner API client](https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/spanner/google/cloud//spanner/database.py#L157). When this object created, credentials is not passed and hence it's `None`, and hence the SpannerClient is trying to get the default credentials and fails in my case because I do not have default creds. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: VS 2017 backend emits bad WindowsTargetPlatformVersion value When I tried generating a VS 2017 solution, the generated app.vcxproj contained this: ``` <WindowsTargetPlatformVersion>10.0.14393.0\</WindowsTargetPlatformVersion> ``` Which then causes errors in other `.targets` files attempting to do a numeric comparison against that. This value is probably taken straight from one of these environment variables: ``` WindowsSDKLibVersion=10.0.14393.0\ WindowsSDKVersion=10.0.14393.0\ ``` The trailing backslash is a bit suspect, but may be there intentionally so it can be concatenated to ``` WindowsSdkDir=C:\Program Files (x86)\Windows Kits\10\ ``` directly. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: LocalDaskExecutor with "processes" scheduler runs some tasks twice ## Description I noticed that when running a Flow containing mapped tasks via the `LocalDaskExecutor(scheduler="processes")` some of the tasks in the flow run twice, and in worst case scenario the whole pipeline runs twice. With all the other executor setups (e.g. `DaskExecutor` or just using `threads` scheduler in the `LocalDaskExecutor`( the pipeline runs correctly. ## Expected Behavior The execution of the same pipeline should be the same across different executors. ## Reproduction I was only able to create this simple example which shows that one of the tasks ran twice. However, the original pipeline that has a similar structure runs all its tasks twice, every time. ```[Python] @task def check_files(): print("CHECKING FILES") return True @task def load_files(checked): return [1,2] @task def process_files(f): return f @task def agg(f): return sum(f) with Flow("EvalPipeline") as flow: checked = check_files() files = load_files(checked) processed = process_files.map(files) summary = agg(processed) state = flow.run( executor=LocalDaskExecutor(scheduler="processes", num_workers=1) ) ``` Output: ![example_output](https://user-images.githubusercontent.com/1793977/89765052-dbeff400-daf5-11ea-8757-618489d7d1d1.png) ## Environment * prefect==0.12.6 * dask==2.15.0 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Slow BERT Tokenizer adds UNK when calling tokenize() Hi! I've run into an inconsistency between the base tokenizer docstring and the slow BERT tokenizer. Specifically, when calling `tokenizer.encode()`, the `[UNK]` token is inserted for unknown tokens, even though the [docstring](https://github.com/huggingface/transformers/blob/v4.0.1/src/transformers/tokenization_utils_base.py#L2026) says that such tokens should be unchanged. Here's how I'm calling the tokenizer: ```python tokenizer = BertTokenizer.from_pretrained( save_dir, do_lower_case=False, strip_accents=False, tokenize_chinese_chars=True ) sentence = "RINDIRIZZA Ġwann Marija Vianney" print(tokenizer.tokenize(sentence)) ``` and the output is ``` ['RI', '##ND', '##IR', '##I', '##Z', '##ZA', '[UNK]', 'Marija', 'Via', '##nne', '##y'] ``` (notice the `[UNK]` in the middle). So, it seems that this particular slow tokenizer isn't following the docstring. Is this expected? If not, is there a way to prevent replacement of unknown tokens? I wanted to use the slow BERT tokenizer over the fast one for exactly this reason, and it'd be great if there's a way to make this work. I'm using `transformers` v4.0.1, but it looks like this docstring hasn't changed between [`master`](https://github.com/huggingface/transformers/blob/master/src/transformers/tokenization_utils_base.py#L2027) and `4.0.1`. 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 Lightning-AI/lightning codebase. Here's the problem: TensorBoardLogger creates another tfevents file. ## 🐛 Bug TensorBoardLogger creates another tfevents file when fit() is running. It seems that no metrics are logged in the redundant file, but it will be shown in TensorBoard as a `run`. I don't do anything about loggers in my LightningModules. **Expected file structure:** ``` | |- save_dir | |- name | |- version_0 | |- events.out.tfevents.1579833025.ip-xxx-xxx-xxx-xxx.17584.0 | |- meta_tags.csv |- train.py ``` **Observed file structure:** ``` | |- save_dir | |- name | |- version_0 | |- 1579833032 | |- events.out.tfevents.1579833032.ip-xxx-xxx-xxx-xxx.17584.1 | |- events.out.tfevents.1579833025.ip-xxx-xxx-xxx-xxx.17584.0 | |- meta_tags.csv |- train.py ``` ### To Reproduce / Code sample Basic training step of PyTorch Lightning: ```python # define a logger logger = TensorBoardLogger( save_dir='runs', name=args.model ) # define callbacks ckpt_path = Path(logger.experiment.log_dir) / 'ckpts' checkpoint_callback = ModelCheckpoint(filepath=ckpt_path) # instantiate trainer trainer = Trainer( logger=logger, checkpoint_callback=checkpoint_callback, gpus=args.gpus ) # define a model model = CoolModel(args) # start training! trainer.fit(model) ``` ### Environment - PyTorch Lightning Version (e.g., 1.0): `0.6.0` - PyTorch Version (e.g., 1.0): `1.3.1` - OS (e.g., Linux): `Ubuntu 16.04 LTS` - How you installed PyTorch (`conda`, `pip`, source): `pip` - Build command you used (if compiling from source): - Python version: `3.7.4` - CUDA/cuDNN version: `10.1` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: list_subscriptions does not work properly `list_subscriptions()` works but `list_subscriptions(topic_name = 'topic_name')` does not work properly ``` python >>> from gcloud import pubsub >>> client = pubsub.Client(project = 'my_project') >>> client.list_subscriptions(topic_name = 'my_topic') Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/lib/python2.7/dist-packages/gcloud/pubsub/client.py", line 131, in list_subscriptions for resource in resp['subscriptions']] File "/usr/local/lib/python2.7/dist-packages/gcloud/pubsub/subscription.py", line 68, in from_api_repr topic_path = resource['topic'] TypeError: string indices must be integers ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: pastebin magic does not work: github requires authentication to create gists Github now [requires authentication](https://developer.github.com/v3/gists/#authentication) to create gists: > You can read public gists anonymously, but you must be signed into GitHub to create gists. `%pastebin` does not work anymore and returns 401: HTTPError: HTTP Error 401: Unauthorized Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Create Docker Tasks for Task Library Add initial tasks to the task library relating to Docker. - Containers: create, kill, logs, exec - Images: list, pull, push, remove, tag, build Any other tasks are more than welcome. These are just the initial ones I feel are most important / commonly used Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: conan download only respects the first repository in remotes.txt Scenario: I want to download a package from an Artifactory repository called 'conan-local' with the following command `conan download package/version@user/channel` But the package gets downloaded only if the repository which contains the package is the first in the list of remotes in registry.txt. registry.txt: ``` conan-local http://... other-repo http://... ``` If the repository which contains the package is not the first in the list of remotes, the following error occurs: `ERROR: 'package/version@user/channel' not found in remote` registry.txt: ``` other-repo http://... conan-local http://... ``` I think there is also a mistake in the documentation for the conan download command: "Only if a *reference* is specified, it will download all packages from the specified remote. Otherwise, it will search sequentially in the configured remotes." should be: "Only if a **remote** is specified, it will download all packages from the specified remote. Otherwise, it will search sequentially in the configured remotes." Tested with Conan 1.5.0 + Conan 1.6.0 using Python 3.6.5 running in Windows 7 and Ubuntu 14.04 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 install from tarball error? Running into this issue when trying to install directly from a tarball. ``` Traceback (most recent call last): File "/usr/local/bin/conda2", line 6, in <module> sys.exit(main()) An unexpected error has occurred, please consider sending the following traceback to the conda GitHub issue tracker at: https://github.com/conda/conda/issues Include the output of the command 'conda info' in your report. File "/opt/conda2/lib/python2.7/site-packages/conda/cli/main.py", line 120, in main exit_code = args_func(args, p) File "/opt/conda2/lib/python2.7/site-packages/conda/cli/main.py", line 130, in args_func exit_code = args.func(args, p) File "/opt/conda2/lib/python2.7/site-packages/conda/cli/main_install.py", line 69, in execute install(args, parser, 'install') File "/opt/conda2/lib/python2.7/site-packages/conda/cli/install.py", line 196, in install explicit(args.packages, prefix, verbose=not args.quiet) File "/opt/conda2/lib/python2.7/site-packages/conda/misc.py", line 79, in explicit is_file = schannel.startswith('file:') and schannel.endswith('/') UnboundLocalError: local variable 'schannel' referenced before assignment ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: docs: Document buildtarget.get_id() [skip ci] Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Latex tab completions leave extra backslash in terminal console In `ipython console`: ``` \alp<TAB> -> \\alpha \alpha<TAB> -> \α ``` In both cases, there's a backslash left over that shouldn't be there. It works in the notebook and the Qt console. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Ability to specify step for logged metrics ## 🚀 Feature Add option to specify `step` for logged metrics ### Motivation After calculating some metric on n-th epoch I'd like to put corresponding mark (`n`) on x-axis. As I see in the source code, there's no obvious way to do this. Instead something like `n * num_batches` will be shown, like in the figure where the loss is calculated after each epoch. ![Screenshot from 2020-02-04 15-50-12](https://user-images.githubusercontent.com/6877858/73746810-1c497080-4767-11ea-9638-d04927b94874.png) ### Pitch I'd love to see `0,1,2,...` ticks on x-axis. My proposal is to allow user to add `step` key in `log` dict, if this key is presented, corresponding value would be used in x-axis. I can make a PR if you agree with this idea. ### Alternatives It would be interesting to know how this could be achieved in other way. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: minor issues in modeling_clip.py While working on the PR [Add TFCLIPModel](https://github.com/huggingface/transformers/pull/13967), I observed a few minor issues in [modeling_clip.py](https://github.com/huggingface/transformers/blob/master/src/transformers/models/clip/modeling_clip.py): 1. Miss `@dataclass` decorators before https://github.com/huggingface/transformers/blob/d5b82bb70c2e8c4b184a6f2a7d1c91d7fd156956/src/transformers/models/clip/modeling_clip.py#L74 This causes `None` elements included in the tuple form. 2. typo in `CLIPVisionTransformer.pre_layrnorm` https://github.com/huggingface/transformers/blob/d5b82bb70c2e8c4b184a6f2a7d1c91d7fd156956/src/transformers/models/clip/modeling_clip.py#L738 3. In https://github.com/huggingface/transformers/blob/d5b82bb70c2e8c4b184a6f2a7d1c91d7fd156956/src/transformers/models/clip/modeling_clip.py#L291 - `layer_head_mask` not in the arguments - shape of `hidden_states` is incorrect, I think 4. https://github.com/huggingface/transformers/blob/d5b82bb70c2e8c4b184a6f2a7d1c91d7fd156956/src/transformers/models/clip/modeling_clip.py#L500 I am not sure why there is `embed_tokens` here. 5. https://github.com/huggingface/transformers/blob/d5b82bb70c2e8c4b184a6f2a7d1c91d7fd156956/src/transformers/models/clip/modeling_clip.py#L520 Here `inputs_embeds` is a required argument instead of being `optional`. 6. There are a few places `model(...)` in `test_modeling_clip.py` without being inside `with torch.no_grad():`. ## Who can help @patil-suraj Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Prefix-dependent types for sysconfdir, etc, do not work with default_options: in project() Specifically, [this](http://mesonbuild.com/Release-notes-for-0-44-0.html#prefixdependent-defaults-for-sysconfdir-localstatedir-and-sharedstatedir) does not work: ```meson project('testprefix', 'c', default_options: ['prefix=/usr']) ``` ```console $ meson _build $ meson configure _build ... Directories: Option Current Value Description ------ ------------- ----------- prefix /usr Installation prefix. ... sysconfdir etc Sysconf data directory. localstatedir /var/local Localstate data directory. sharedstatedir /var/local/lib Architecture-independent data directory. ... ``` However, passing `--prefix=/usr` works as expected. Reported by @williamh on IRC. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Rewrite QAOA with primitives. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Linker error while building gtkdoc I'm trying to make GStreamer modules build with meson inside Cerbero. When it builds gtkdoc I get this error: ``` Error in gtkdoc helper script: 'gtkdoc-scangobj' failed with status 1 ld: unrecognized option '-Wl,-rpath,/home/xclaesse/programmation/cerbero/build/sources/linux_x86_64/gst-transcoder-1.9/cerbero-build-dir/' ld: use the --help option for usage information Linking of scanner failed: ``` The exact command line that produce that error is: ``` gtkdoc-scangobj --types=/home/xclaesse/programmation/cerbero/build/sources/linux_x86_64/gst-transcoder-1.9/cerbero-build-dir/docs/libs/gst-transcoder.types --module=gst-transcoder --cflags="-I/home/xclaesse/programmation/cerbero/build/sources/linux_x86_64/gst-transcoder-1.9/cerbero-build-dir/gst-libs -I/home/xclaesse/programmation/cerbero/build/sources/linux_x86_64/gst-transcoder-1.9/gst-libs -I/home/xclaesse/programmation/cerbero/build/dist/linux_x86_64/include/glib-2.0 -I/home/xclaesse/programmation/cerbero/build/dist/linux_x86_64/lib/glib-2.0/include -pthread -I/home/xclaesse/programmation/cerbero/build/dist/linux_x86_64/include/gstreamer-1.0" --ldflags="-L/home/xclaesse/programmation/cerbero/build/sources/linux_x86_64/gst-transcoder-1.9/cerbero-build-dir/ -Wl,-rpath,/home/xclaesse/programmation/cerbero/build/sources/linux_x86_64/gst-transcoder-1.9/cerbero-build-dir/ -lgsttranscoder-1.0 -L/home/xclaesse/programmation/cerbero/build/dist/linux_x86_64/lib -lglib-2.0 -lgobject-2.0 -lgstreamer-1.0 -lgstpbutils-1.0" ``` GStreamer's gtkdoc seems to build fine with meson when using gst-build, so I don't understand what's the difference when ran inside cerbero env. Any clue? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Please support Verify=False option for tools.get() as is currently supported for tools.download() 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). - [1.8.4] 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 googleapis/google-cloud-python codebase. Here's the problem: Automatically check if modules are left out of the API docs See [previous comment](https://github.com/GoogleCloudPlatform/gcloud-python/issues/707#issuecomment-78552001) for context. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Replace /bin/bash with /usr/bin/env bash Currently `conda` hardcodes `#!/bin/bash`. If instead `#!/usr/bin/env bash` would be used, then the version of the current environment would be used. I'm attempting to package `conda` at the moment for an OS where `#!/bin/bash` is unavailable, but `#!/usr/bin/env bash` does work. The same by the way applies to some of the packages offered via `conda`. Edit: I can understand if such change wouldn't be made since there might be distributions where exactly that option isn't available. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: IPythonConsoleLexer fails with python2 and pygments 2.5 As of pygments 2.5, `PythonLexer` [now](https://pygments.org/docs/changelog/) is an alias for `Python3Lexer`. iPython still uses `PythonLexer` for the python2 case: https://github.com/ipython/ipython/blob/a6082c6ff799e4ec30ad24afbfc5f1550185934d/IPython/lib/lexers.py#L79 It should explicitly use `Python2Lexer` 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 Qiskit/qiskit codebase. Here's the problem: text drawer should be enhanced for multi-qubit gates <!-- ⚠ 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? 1. If I have a two-qubit box/gate and want to apply it to non-adjacent gates, the text drawer raises the following error: ```python VisualizationError: 'Text visualizaer does know how to build a gate with multiplebits when they are not adjacent to each other' ``` We just need to indicate/mark those wires that the gate is acting upon, and then it will be clear. 2. This raises another issue. The order of wires can be different when the gate is applied, so the drawer should reflect that. So I think we should show something like this: ``` ┌─────────┐┌─────────┐ q3_0: |0>┤0 ├┤1 ├ │ My_gate ││ │ q3_1: |0>┤1 ├┤ My_gate ├ └─────────┘│ │ q3_2: |0>───────────┤0 ├ └─────────┘ ``` Here, "my_gate" is a two-qubit gate, with some internal definition. It has been added to the circuit like this: ```python circuit.append(my_gate, [q[0], q[1]]) circuit.append(my_gate, [q[2], q[0]]) ``` Note: this code is possible in PR #1816 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `NameError` if conda-content-trust fails to import ### Checklist - [X] I added a descriptive title - [X] I searched open reports and couldn't find a duplicate ### What happened? When importing conda-content-trust (e.g. because of #12736) it can't import `SignatureError`, leading to a `NameError` exception: from https://github.com/conda/conda/actions/runs/5110614066/jobs/9323820330?pr=12707#step:8:68: ``` ../../../miniconda3/envs/conda-test-env/lib/python3.9/importlib/__init__.py:127: in import_module return _bootstrap._gcd_import(name[level:], package, level) tests/trust/test_signature_verification.py:14: in <module> from conda.trust.signature_verification import SignatureError, _SignatureVerification E ImportError: cannot import name 'SignatureError' from 'conda.trust.signature_verification' (/Users/runner/work/conda/conda/conda/trust/signature_verification.py) ``` The example here is breaking because of a separate issue with conda-content-trust on conda-forge (as it's incompatible with cryptography>=41). And https://github.com/conda-forge/conda-forge-repodata-patches-feedstock/pull/462 hasn't been merged yet. ### Conda Info ```shell - ``` ### Conda Config ```shell - ``` ### Conda list ```shell - ``` ### Additional Context _No response_ Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: jax.numpy.arange() doesn't match numpy.arange() for fractional values Example: ```python In [1]: import jax.numpy as jnp In [2]: import numpy as np In [3]: jnp.arange(2.5) Out[3]: DeviceArray([0., 1.], dtype=float32) In [4]: np.arange(2.5) Out[4]: array([0., 1., 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: boolean indexing support The `README` mentions boolean index slices `a[idx]` in relation to jit-able functions as something to avoid, but currently it seems they do not work in jax at all ``` >>> import jax.numpy as np >>> a = np.array([1,2,3]) >>> a[[True,False,False]] ``` raises `IndexError: Indexing mode not yet supported. Open a feature request!` is this expected? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Pubsub.list_topics fails when there are no topics [Offending line](https://github.com/GoogleCloudPlatform/gcloud-python/blob/0910f9979a45af8cc2826dd4c6ff38d9efa5ccec/gcloud/pubsub/client.py#L80). Reproduce via: ``` python client = pubsub.Client() >>> client.list_topics() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "gcloud/pubsub/client.py", line 80, in list_topics for resource in resp['topics']] KeyError: 'topics' ``` @tseaver ISTM we should locate all instances where we assume a key is present and just protect against this. The time between releases behooves us to be "protective" of users. (I realize that we've usually done it this way based on documented outputs.) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: pymongo refuses backend/mongodb.py default settings `self.options.setdefault('max_pool_size', self.max_pool_size)` `self.options.setdefault('auto_start_request', False)` These lines are refusing from `pymongo` and gives `ConfigurationError` exception. By the way pymongo version is 3.0 and for use mongodb as backend i have to remove that lines from mongodb.py. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Progress bar broken ![image](https://cloud.githubusercontent.com/assets/1882046/18741247/576de78c-80ae-11e6-8604-2af7117b9cdd.png) ``` C:\Users\Korijn\dev\myproject>conda info Current conda install: platform : win-64 conda version : 4.2.7 conda is private : False conda-env version : 4.2.7 conda-build version : 2.0.1 python version : 3.5.1.final.0 requests version : 2.9.1 root environment : C:\Users\Korijn\Miniconda3 (writable) default environment : C:\Users\Korijn\Miniconda3 envs directories : C:\Users\Korijn\Miniconda3\envs package cache : C:\Users\Korijn\Miniconda3\pkgs channel URLs : 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 : C:\Users\Korijn\.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: ParametereExpression.__eq__ doesn't gracefully convert numeric types <!-- ⚠ 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? `__eq__` in python conventionally considers objects equal if they are semantically equivalent, even if their types differ. ``` >>> 2 == 2 True >>> 2.0 == 2.0 True >>> 2 == 2.0 True ``` Same for Sympy: ``` >>> import sympy as sp >>> sp.Integer(2) == sp.Integer(2) True >>> sp.Float('2.0', precision=53) == sp.Float(2.0, precision=54) True >>> sp.Integer(2) == sp.Float('2.0', precision=53) True ``` But `ParameterExpression.__eq__` breaks this convention. ``` >>> import qiskit as qk >>> theta = qk.circuit.Parameter('theta') >>> theta * 2 == theta * 2 True >>> theta * 2.0 == theta * 2.0 True >>> theta * 2 == theta * 2.0 False ``` Currently, at https://github.com/Qiskit/qiskit-terra/blob/44462a8b13ea6c2cce0f9c7345c26c15fb0d4ce3/qiskit/circuit/parameterexpression.py#L389 , we compare `srepr(self._symbol_expr) == srepr(other._symbol_expr)` as strings. (`srepr` of the examples above would look like `Mul(Integer(2), Symbol('th'))` for `theta * 2` and `Mul(Float('2.0', precision=53), Symbol('th'))` for `theta * 2.0`. Instead, we should walk the sympy expression tree (following https://docs.sympy.org/latest/tutorial/manipulation.html#recursing-through-an-expression-tree ) and rely on sympy's built in `__eq__`. (The original motivation for using `srepr` instead of directly comparing `._symbol_expr` isn't clear from the current code, so that may be another option worth investigating.) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Schedule padding passes don't respect target's instruction constraints ### Environment - **Qiskit Terra version**: 0.23.0 and main (0.24.0) - **Python version**: 3.10 - **Operating system**: Linux ### What is happening? The transpiler scheduling padding passes do not respect the instruction constraints in a `Target`. If running on a backend which doesn't support certain operations on qubits the padding passes will potentially insert invalid operations at the end of a `transpile()` call. The simplest example of this is if you use the built in `scheduling_method` kwarg for `transpile()` on a backend which doesn't support `delay` then the output of the transpiler will not be valid. ### How can we reproduce the issue? Run the padding passes on a target that doesn't support the padding operations on some (or all qubits). ### What should happen? The padding passes should only run on qubits that the padding operations are supported on that qubit. If not we should skip padding that operation. ### 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 googleapis/google-cloud-python codebase. Here's the problem: Firestore: passing empty list to 'Query.select' implies '__name__' The `query-select-empty.textproto` conformance test mandates this behavior. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Meson doesn't handle 'link_args' correctly for non-gnu D compilers Sample config ``` project('test-project', 'd') libabc_dep = dependency('libabc') test_exe = executable('test', 'app.d', #d_args: ['-I/usr/include', '-L/usr/lib'], dependencies: libabc_dep ) ``` When compiling the `test_exe` target, the compiler fails to add the arguments specified in the pkgconfig (usually, `-I/usr/include` and `-L/usr/lib`). If I add the right arguments to `d_args`, as shown in the commented code, it works. I have only tried to link dependencies provided by pkgconfig. I also tried compiling with both LDC and DMD, same result. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [Discussion] oauth2client credentials in a post-oauth2client world. We recently switched `core` to use [`google-auth`](https://google-auth.readthedocs.io) in #2639 and completely removed support for `oauth2client`. It is possible that some users are explicitly passing `oauth2client` credentials into `Client` constructors, e.g.: ```python credentials = oauth2client.contrib.gce.AppAppsertionCredentials() storage_client = storage.Client(credentials=credentials) ``` After `google-cloud-core==0.22.0` is released this code will no longer work. Only credentials from `google-auth` will work. There is a potential that we could break some user code and there may be some valid reasons for sticking with oauth2client in the near-term (user credentials and storage, for example). `google-auth` offers a way to [`convert`](https://github.com/GoogleCloudPlatform/google-auth-library-python/blob/443df66cb6e7960205c1d2108e67220d27408efe/google/auth/_oauth2client.py#L136) credentials: ```python import google.auth._oauth2client new_credentials = google.auth._oauth2client.convert(old_credentials) ``` We have two options: 1. Tell users who still want to use oauth2client to use `google.auth._oauth2client` to convert their credentials. 2. Add code in our `Client` base class to automatically convert credentials and issue a warning. I strongly prefer (1) so that we do not prolong oauth2client's lifetime and so that we can more quickly free ourselves to switch http libraries. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Local Lab Extension Workflow A couple of things I have seen in practice with using local extensions: - Forgetting to `npm install` before `jupyter labextension install .`. - Forgetting to `npm run build` before `jupyter labextension install .`. This one can result in the cryptic error of the form: ```javascript WARNING in ./build/index.out.js Module not found: Error: Can't resolve '@jupyterlab/github/' in '/usr/share/jupyter/lab/staging/build' @ ./build/index.out.js 639:25-55 ``` We should run `npm install` in a local folder if it doesn't have a `node_modules`, and encourage the use of a `prepack` script. The `prepack` script is run on `npm pack` and `yarn pack`. I will add the `prepack` script to the cookie cutter. The command is also run on `npm publish` and `yarn publish`, so it can be used instead of the `prepublish`/`prepare`/`prepublishOnly` scripts if appropriate. cc @ian-r-rose @jasongrout Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Exception message as a string is still being unpacked Here: https://github.com/celery/celery/blob/master/celery/backends/base.py#L282 Following code: ``` exc_msg = 'SHOULDBETOGETHER' print(*exc_msg if isinstance(exc_msg, tuple) else exc_msg) ``` results in: ``` S H O U L D B E T O G E T H E R ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: dist failure with relative submodule paths **Describe the bug** dist fails with git submodules using relative paths. **To Reproduce** The entire tree is at https://gitlab.freedesktop.org/xdg/shared-mime-info/-/tree/40db4c7adba8a5cc586e24f5b4b5aff0b2a81bcc, see .gitlab-ci.yml there for how it's built in CI. The xdgmime submodule is defined as `../xdgmime.git` CI failure log is at https://gitlab.freedesktop.org/xdg/shared-mime-info/-/jobs/6403481 -- essentially it seems meson is trying to checkout the submodule from a directory relative to the main project working dir, whereas it should treat relative submodule path as relative to the superproject's default remote repo; https://git-scm.com/docs/git-submodule#Documentation/git-submodule.txt-add-bltbranchgt-f--force--nameltnamegt--referenceltrepositorygt--depthltdepthgt--ltrepositorygtltpathgt **Expected behavior** Working submodule checkout during dist. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.) * what Python version are you using e.g. 3.8.0 * what `meson --version` * what `ninja --version` if it's a Ninja 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 googleapis/google-cloud-python codebase. Here's the problem: If AutoAck pull returns empty then exception raised on context exit If the subscription pull returns 0 messages in the __enter__ method in the AutoAck class then on __exit__ the acknowledge call raises an exception on the HTTP call: https://github.com/GoogleCloudPlatform/google-cloud-python/blob/pubsub-0.22.0/pubsub/google/cloud/pubsub/subscription.py#L512 Currently the way a deal with this is to wrap the context manager in try/except or override __exit__ to check for an empty list. The former is messy and the latter can just be fixed at source. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 raises bogus NotWritableError exception for a bogus attempt to chown to root This isn't a dupe (well it is a dupe of #7109) but the issue still persists. #7180 fixed the problem in one section of code, but the same problematic snippet is present here: https://github.com/conda/conda/blob/master/conda/gateways/disk/update.py#L121 conda raises bogus NotWritableError exception for a bogus attempt to chown to root This isn't a dupe (well it is a dupe of #7109) but the issue still persists. #7180 fixed the problem in one section of code, but the same problematic snippet is present here: https://github.com/conda/conda/blob/master/conda/gateways/disk/update.py#L121 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Pubsub: How to flush unsent messages on program exit? I have set caching configuration which may cache some messages and messages are not sent to pubsub yet. Is there a `flush` method when I want to exit the program. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Fig should say "you probably need to run docker-osx shell" if docker-osx exists and it can't connect to Docker Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Use of `ravel` in `intersect1d` breaks compatibility with xarray See https://github.com/pydata/xarray/issues/2371 ### Numpy/Python version information: ``` 1.15.0 3.6.6 |Anaconda, Inc.| (default, Jun 28 2018, 17:14:51) [GCC 7.2.0] ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the celery/celery codebase. Here's the problem: Message being acknowledged on WorkerLostError when CELERY_ACKS_LATE=True When using celery v3.0.24, with `CELERY_ACKS_LATE = True` , if the OOM killer kills the celery worker, then the worker acknowledges the message. As per [this](https://github.com/celery/celery/commit/e810420c) commit. The `exc_info.internal` comes in as `false`, which means it is not a internal error, due to which the message is acknowledged. The desirable behaviour, in such a case would be to not acknowledge the message (and be able to know, whether its a OOM error), so that some other worker can pick it up. As a workaround, I've commented out the [code](https://github.com/siddharth96/celery/commit/427695d1b23034dadda85fd7a48f7367831be4fa), where celery acknowledges the message, because in such a case, message will be lost. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: transformers does not detect Tensorflow when installing tensorflow-cpu package ### System Info This issue was introduced in transformers 4.30.x. Output of pip list (partial): ``` tensorflow-cpu 2.12.0 tensorflow-estimator 2.12.0 tensorflow-intel 2.12.0 tensorflow-io-gcs-filesystem 0.31.0 transformers 4.30.1 ``` ### Who can help? _No response_ ### 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 Manifests itself like this: ``` None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used. ImportError while loading <REDACTED> from transformers import file_utils, modeling_tf_outputs, modeling_tf_utils .venv\lib\site-packages\transformers\modeling_tf_utils.py:42: in <module> from .generation import GenerationConfig, TFGenerationMixin E ImportError: cannot import name 'TFGenerationMixin' from 'transformers.generation' (<REDACTED>) ``` ### Expected behavior No errors, Tensorflow detected. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Py3: Commands with subarguments do and say nothing if no params are entered Run: `conan editable`, `conan config`, `conan remote`, `conan profile`, `conan workspace`... In general all the commands with sub arguments. They should show the help. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Quantum info Operator does not work with delay operations <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: latest - **Python version**: - **Operating system**: ### What is the current behavior? Trying to convert a circuit with delays to `Operator` gives: QiskitError: 'Cannot apply Instruction: delay' ### Steps to reproduce the problem ### What is the expected behavior? Since delays do nothing with respect to the Unitary operator I would expect this to work. ### 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 conda/conda codebase. Here's the problem: Make the conda install table easier to read The table of what packages will be installed and removed is hard to read. For one thing, it's hard to tell easily what packages are not removed but just upgraded or downgraded. Also, the "link" terminology is confusing. A suggestion by @jklowden: ``` $ conda update conda Updating Anaconda environment at /usr/local/anaconda The following packages will be downloaded: conda-2.2.3-py27_0.tar.bz2 [http://repo.continuum.io/pkgs/free/osx-64/] The following packages will be upgraded: Old version Replace with ------------------------- ------------------------- conda-1.4.4 conda-2.2.3 ``` > or, if you really want the build (I don't, it's not meaningful to the user) ``` package Old version New version ------------ ------------------ ------------------ conda 1.4.4, py27_0 2.2.3, py27_0 ``` I think the build is meaningful as it tells you what Python version is being used. It also tells you if you are using mkl. And also some people might use the build string to put other information which may be useful to users. <!--- @huboard:{"order":3.3142282405143226e-49,"custom_state":""} --> Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Add a flag forbidding upload if recipe was changed Hello, I'm using Conan 1.0.4. It would be useful to have an option in `conan upload` to prevent uploading packages if there is already a package with the same reference upstream **AND** the recipe was modified. That way we could enforce that a new binary package will not break existing ones (e.g. by modifying the recipe without changing the `package_id`). - [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 ipython/ipython codebase. Here's the problem: ipcluster bug in clean_logs flag Setting clean_logs=True when using the IPClusterEngines application doesn't remove the log files. The offending line is at parallel/apps/ipclusterapp.py line 404 in IPClusterEngines.start_logging() which looks like this: ``` if re.match(r'ip(engine|controller)z-\d+\.(log|err|out)',f): ``` The 'z' after controller) should be removed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Unable to install package from anaconda.org Despite successfully logging in, I am unable to install a package from anaconda.org. Why do I need to be "authorized" to install from a public repo? Here's a session: > (anaconda) src% conda install -c pydanny cookiecutter > Fetching package metadata ... > > CondaHTTPError: HTTP 401 UNAUTHORIZED for url <https://conda.anaconda.org/pydanny/linux-64/repodata.json> > Elapsed: 00:00.186933 > CF-RAY: 34f70e302ebd099a-ORD > > The remote server has indicated you are using invalid credentials for this channel. > > If the remote site is anaconda.org or follows the Anaconda Server API, you > will need to > (a) login to the site with `anaconda login`, or > (b) provide conda with a valid token directly. > > Further configuration help can be found at <https://conda.io/docs/config.html>. > > > > (anaconda) src% anaconda login > Using Anaconda API: https://api.anaconda.org > Username: smontanaro > smontanaro's Password: > login successful > (anaconda) src% conda install -c pydanny cookiecutter > Fetching package metadata ... > > CondaHTTPError: HTTP 401 UNAUTHORIZED for url <https://conda.anaconda.org/t/sm-1bb26830-27a7-4652-a4df-f47d9426aaf1/pydanny/linux-64/repodata.json> > Elapsed: 00:00.189228 > CF-RAY: 34f7135bfaa52597-ORD > > The remote server has indicated you are using invalid credentials for this channel. > > If the remote site is anaconda.org or follows the Anaconda Server API, you > will need to > (a) login to the site with `anaconda login`, or > (b) provide conda with a valid token directly. > > Further configuration help can be found at <https://conda.io/docs/config.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 conan-io/conan codebase. Here's the problem: Failed to install connan 1.8.2 on ubuntu16.04 I'm installing as ``` pip --no-cache-dir install conan conan_package_tools ``` As the time of installing, the latest version was 1.8.2. And, the output logs: ``` Installing collected packages: PyJWT, colorama, patch, monotonic, fasteners, node-semver, distro, isort, wrapt, lazy-object-proxy, typed-ast, astroid, mccabe, pylint, deprecation, t qdm, bottle, pluginbase, conan, idna, tabulate, conan-package-tools Running setup.py install for patch: started Running setup.py install for patch: finished with status 'done' Running setup.py install for wrapt: started Running setup.py install for wrapt: finished with status 'done' Found existing installation: tqdm 4.26.0 Uninstalling tqdm-4.26.0: Successfully uninstalled tqdm-4.26.0 Rolling back uninstall of tqdm Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: '/usr/local/man/man1' ``` I switched the installing to version 1.7.4, and everything was good. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Hashing a tokenizer using the 🤗 nlp lib is not deterministic In the `nlp` library it is common to use a tokenizer on a dataset. The library takes care of caching the results, so that if you run the tokenization twice, it will reuse the previous results. To make the caching work, we compute a hash of the tokenizer. However the `unique_no_split_tokens` attribute of tokenizers is not deterministic, and it makes the hashing return different hashes for the same tokenizer over different sessions. `unique_no_split_tokens` can be a list like `['[CLS]', '[MASK]', '[PAD]', '[SEP]', '[UNK]']` for example. But it happens that re-loading a tokenizer in another session shuffles the tokens in the list. For example this code doesn't always return the same output over different sessions: ```python from transformers import AutoTokenizer model_name = "distilbert-base-uncased-finetuned-sst-2-english" tokenizer = AutoTokenizer.from_pretrained(model_name) print(tokenizer.unique_no_split_tokens) ``` Reproduce on google colab: https://colab.research.google.com/drive/1nyskaLavcTCkXibZBlYX71bkG476uSzz?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 conan-io/conan codebase. Here's the problem: cmake_find_package generator does not produce CONAN_RES_DIRS_ variables In my package recipe, I do the following: ```py exports_sources = "res/*" def package(self): self.copy("*", dst="res", src="res") def package_info(self): self.cpp_info.resdirs = ['res'] ``` In the resulting package, the resource files are present, but for projects that consume this package via the cmake_find_package generator, the generated Findx.cmake file does not contain any CONAN_RES_DIRS_ variables, which was confirmed by another user in the Conan slack. I also checked the normal cmake generator and it seems to have the correct behaviour. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Unexpected behavior with `tags` contextmanager Example: ```python from prefect import task, tags, Flow @task def say_hi(name): pass with Flow() as f: c = say_hi("chris") with tags("example"): a = say_hi("alice") b = say_hi("bob") ``` What is `c.tags`? Answer: `{'example'}`, because `tags` is a set, and `task.copy()` keeps a reference to the same set. Unexpected behavior with `tags` contextmanager Example: ```python from prefect import task, tags, Flow @task def say_hi(name): pass with Flow() as f: c = say_hi("chris") with tags("example"): a = say_hi("alice") b = say_hi("bob") ``` What is `c.tags`? Answer: `{'example'}`, because `tags` is a set, and `task.copy()` keeps a reference to the same set. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the explosion/spaCy codebase. Here's the problem: Allow setting of custom attributes during retokenization ## Feature description <!-- Please describe the feature: Which area of the library is it related to? What specific solution would you like? --> Perhaps I am just missing something, but I don't seem to be able to set custom attributes on a merged token during retokenization (using the new 2.1.x Retokenizer class). with doc.retokenize() as retokenizer: retokenizer.merge(span, attrs={ ... }) I can set any of the attributes listed in the Token documentation, but I am unable to do that for custom attributes. If there is a special syntax for setting custom attributes already, it should be documented. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add Agent Logging for Platform Roadblocks ## Use Case e.g. ``` 2019-09-11 20:06:34,237 - agent - INFO - Found 1 flow run(s) to submit for execution. 2019-09-11 20:06:34,545 - agent - ERROR - (403) Reason: Forbidden HTTP response headers: HTTPHeaderDict({'Audit-Id': '8775dbb3-ad97-43b6-9f0a-144b95f5b43b', 'Content-Type': 'application/json', 'X-Content-Type-Options': 'nosniff', 'Date': 'Wed, 11 Sep 2019 20:06:34 GMT', 'Content-Length': '309'}) HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"jobs.batch is forbidden: User \"system:serviceaccount:my-space:default\" cannot create resource \"jobs\" in API group \"batch\" in the namespace \"my-space\"","reason":"Forbidden","details":{"group":"batch","kind":"jobs"},"code":403} ``` We want to notify users of potential platform issues. ^ in this one the agent didn't have permission to create jobs in its namespace (RBAC wasn't properly configured). ## Solution While we can't force permissions we can elevate this was a warning to users through the flow run logs. ## Alternatives Another option is to feed into the agent heartbeat issue #1373 where instead of becoming a flow run log it could be reflected in the agents dashboard. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Standard sampling library <!-- ⚠ 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? A library of standard `Sampler` (#1934) strategies should be provided for users that transform a continuous function of `t` into a `FunctionPulse`. Pulses: - [x] `left` - [x] `right` - [x] `mid_point` Can you help me debug this systematically and explain your reasoning?