[System] You are an expert software 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: Documenting keyboard shurtcuts IMHO it would be sensible if we can provide description to newly introduced keyboard shortcuts. Personally I hunted Google to learn about Ctrl+O, but there seem to be many other functions exposed with default shortcuts. Ctrl+S / Ctrl+R = `I-search` - seems to search some parts of history Ctrl+Space = `Selection mode` - already discussed as feature from modern emacs bindings ... Many other Ctrl+? bindings at least. So my suggestion is that we should provide reference to used bindings in documentation. At least just those exposed from PTK Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Very counter-intuitive "Cross and native files must not be directories" error Consider the following: ```c [0] [akari@navi] [master ← /home/akari/git/cosuzu/build] % ls -l total 0 drwxr-xr-x 6 akari users 122 Jul 12 07:39 native-gcc [0] [akari@navi] [master ← /home/akari/git/cosuzu/build] % file ~/.local/share/meson/cross/llvm-mingw-i686 /home/akari/.local/share/meson/cross/llvm-mingw-i686: ASCII text [0] [akari@navi] [master ← /home/akari/git/cosuzu/build] % meson --cross-file llvm-mingw-i686 ../ llvm-mingw-i686 ERROR: Cross and native files must not be directories [1] [akari@navi] [master ← /home/akari/git/cosuzu/build] % ls -l total 0 drwxr-xr-x 5 akari users 63 Jul 12 07:43 llvm-mingw-i686 drwxr-xr-x 6 akari users 122 Jul 12 07:39 native-gcc ``` Perhaps the cross/native file paths should be resolved *before* the build directory is created? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 `toolz` dependency with `cytoolz` This makes me all kind of uncomfortable since cytoolz is a separate pacakge and us using it this way is totally backwards. We should rely on it instead directly or remove our footprint using it. Probably larger than this PR though, so worth opening a ticket to look into it. _Originally posted by @jezdez in https://github.com/conda/conda/pull/11290#discussion_r826836808_ ### Tasks - [x] Do we need cytoolz/toolz anymore? - [x] If we need cytoolz/toolz, stop vendoring and make it a dependency - @kenodegard None of the third-party uses we have identified need cytoolz/toolz, replace with stdlib itertools or list-/dict-comprehension or arg unpacking - @kenodegard Conda itself will make cytoolz a dependency - [x] update default::conda feedstock - [x] update conda-forge::conda feedstock - [x] https://github.com/conda-incubator/conda-libmamba-solver/pull/45 - [x] https://github.com/conda/constructor/issues/523 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: "?" and expressions [tried with ipython 0.13.2, 1.0.0 and 1.1.0] Requesting information for a object returned by an expression (in the example below the object is stored in a `list`, and the expression is extracting an element from the list). Is this intended ? (When using only `?` in ipython, the documentation printed suggests that it should be working - the example given `{}.get?` is also not working). ``` In [1]: ?['a','b'][0] Object `` not found. ``` The following is working though: ``` In [2]: o = ['a','b'][0] In [3]: ?o Type: str String Form:a Length: 1 Docstring: str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str Create a new string object from the given object. If encoding or errors is specified, then the object must expose a data buffer that will be decoded using the given encoding and error handler. Otherwise, returns the result of object.__str__() (if defined) or repr(object). encoding defaults to sys.getdefaultencoding(). errors defaults to 'strict'. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: id2lang in tokenization_xlm.py should be int, and removing hardcoding In https://github.com/huggingface/transformers/blob/master/src/transformers/tokenization_xlm.py#L78 we have: ``` "id2lang": {"0": "de", "1": "en"}, "lang2id": {"de": 0, "en": 1}, ``` and then: ``` lang2id (:obj:`Dict[str, int]`, `optional`, defaults to :obj:`None`): Dictionary mapping languages string identifiers to their IDs. id2lang (:obj:`Dict[int, str`, `optional`, defaults to :obj:`None`): ``` So it should be: ``` "id2lang": {0: "de", 1: "en"}, "lang2id": {"de": 0, "en": 1}, ``` All other entries need this change too. The problem hasn't been detected until now since they were used to only count the number of languages it seems. I need to pass src/tgt languages to the tokenizer I'm porting from fairseq, so I was looking at how to do that and `id2lang` seems to fit the purpose. But I actually need to look them up by `int` id, that's how I saw the problem. But I'm also not sure why do we need to hardcode the reversal, when it can be done in 1 line of code? Which would also remove this assertion code: ``` self.lang2id = lang2id self.id2lang = id2lang if lang2id is not None and id2lang is not None: assert len(lang2id) == len(id2lang) ``` Further we don't even need to hardcode the ids. Replace: ``` "id2lang": {0: "de", 1: "en"}, ``` with: ``` "id2lang": ["de", "en"] ``` So all we need is one of the two entries, and now generate the 2 lookup dicts on the fly. And since it's no longer `id2lang` semantically, probably renaming it to just `langs` would be more appropriate. I think I will use this approach regardless of the outcome of this issue. Thanks. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Logout button handling not available when launching notebook app <!-- Welcome! Before creating a new issue: * Search for relevant issues * Follow the issue reporting guidelines: https://jupyterlab.readthedocs.io/en/latest/getting_started/issue.html --> ## Description Because this is handled currently in [LabApp](https://github.com/jupyterlab/jupyterlab/blob/a31a4cf625681524b44fe58847d8e253bd9e5650/jupyterlab/labapp.py#L493), it is not run when launching as `jupyter notebook`. We need to move the logic into `extension.py`. <!--Describe the bug clearly and concisely. Include screenshots if possible--> ## Reproduce 1. Launch as `jupyter notebook`. 2. Go to `/lab` 3. Open File menu 4. Note there is no logout button Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Copying `QuantumCircuit` fails after `circuit.remove_final_measurements()` <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.17 - **Python version**: 3.8 - **Operating system**: MacOS ### What is the current behavior? Creating a `QuantumCircuit`, calling `circuit.remove_final_measurements()` and then copying the `circuit` fails with raising a `KeyError`. ### Steps to reproduce the problem ``` qc = QuantumCircuit(2) qc = qc.compose(RealAmplitudes(2)) qc.remove_final_measurements() qc.copy() ``` ### What is the expected behavior? Expected behavior would be to just get back a copy of the modified circuit. ### Suggested solutions Fix `remove_final_measurements()`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: i dont know what Tranier`s Dataset is. # ❓ Questions & Help <!-- The GitHub issue tracker is primarly intended for bugs, feature requests, new models and benchmarks, and migration questions. For all other questions, we direct you to the Hugging Face forum: https://discuss.huggingface.co/ . You can also try Stack Overflow (SO) where a whole community of PyTorch and Tensorflow enthusiast can help you out. In this case, make sure to tag your question with the right deep learning framework as well as the huggingface-transformers tag: https://stackoverflow.com/questions/tagged/huggingface-transformers --> ## Details <!-- Description of your issue --> ![image](https://user-images.githubusercontent.com/32102558/88669501-8ccdba80-d116-11ea-8b29-8dda1a61ce42.png) ![image](https://user-images.githubusercontent.com/32102558/88669549-9bb46d00-d116-11ea-840c-ff661b0a2b0d.png) i thought its my customer dataset goes wrong, i dont konw what dataset it should return. the Trainer receive what dataset. <!-- You should first ask your question on the forum or SO, and only if you didn't get an answer ask it here on GitHub. --> **A link to original question on the forum/Stack Overflow**: Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 update --name AssertionError ``` error: AssertionError() command: /Users/cpthgli/.anyenv/envs/pyenv/versions/default/bin/conda update --name --all --yes user_agent: conda/4.4.4 requests/2.18.4 CPython/3.6.4 Darwin/17.3.0 OSX/10.13.2 _messageid: -9223372036843525540 _messagetime: 1514462637935 / 2017-12-28 06:03:57 Traceback (most recent call last): File "/Users/cpthgli/.anyenv/envs/pyenv/versions/anaconda3-5.0.1/lib/python3.6/site-packages/conda/exceptions.py", line 724, in __call__ return func(*args, **kwargs) File "/Users/cpthgli/.anyenv/envs/pyenv/versions/anaconda3-5.0.1/lib/python3.6/site-packages/conda/cli/main.py", line 78, in _main exit_code = do_call(args, p) File "/Users/cpthgli/.anyenv/envs/pyenv/versions/anaconda3-5.0.1/lib/python3.6/site-packages/conda/cli/conda_argparse.py", line 75, in do_call exit_code = getattr(module, func_name)(args, parser) File "/Users/cpthgli/.anyenv/envs/pyenv/versions/anaconda3-5.0.1/lib/python3.6/site-packages/conda/cli/main_update.py", line 14, in execute install(args, parser, 'update') File "/Users/cpthgli/.anyenv/envs/pyenv/versions/anaconda3-5.0.1/lib/python3.6/site-packages/conda/cli/install.py", line 140, in install prefix = context.target_prefix File "/Users/cpthgli/.anyenv/envs/pyenv/versions/anaconda3-5.0.1/lib/python3.6/site-packages/conda/base/context.py", line 454, in target_prefix return determine_target_prefix(self) File "/Users/cpthgli/.anyenv/envs/pyenv/versions/anaconda3-5.0.1/lib/python3.6/site-packages/conda/base/context.py", line 974, in determine_target_prefix return locate_prefix_by_name(prefix_name) File "/Users/cpthgli/.anyenv/envs/pyenv/versions/anaconda3-5.0.1/lib/python3.6/site-packages/conda/base/context.py", line 923, in locate_prefix_by_name assert name AssertionError ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Allow arbitrary notebook filename extensions (... or allow custom handlers) I first described my use case in #7222, it has slightly changed since then. [GitHub repo here](https://github.com/rossant/ipymd). Basically I want to write technical documents/books in Markdown, and use the notebook UI to write/execute code. This brings the benefits of Markdown with the benefits of the notebook UI for interactive computing. When writing a book, I don't want to save/version-control the code outputs. I can always build a full document with the outputs eventually. Technically, I can achieve this by writing a custom `FileContentsManager`, and implementing my own serialization/deserialization process for notebooks (basically `nbcontents (dict) <==> markdown` converters). The only thing that doesn't work nicely for now is the file extension. Using `.ipynb` works, but it's probably not a good idea to use the same extension for two different file formats. When using `.md`, it looks like I cannot use the notebook UI because of the way handlers are implemented. AFAIU there's a `.ipynb` regex that redirects those paths to the notebook UI. For now, I could patch IPython myself, and ask users to clone my own fork/branch. I can see at least two solutions: - create a parameter with a list of file extensions that redirect to the notebook UI (basically changing the regex) - create a parameter with a list of extra handlers for the Web server What do you think? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Did `numpy.version.short_version` disappear in version 1.21 RC ? I noticed the attribute `numpy.version.short_version` no more exists in the latest release candidate (1.21.0RC1) which has been pip-installed on linux-amd64 running python3.9 (binary wheel). This is breaking some build scripts downstream. I just wonder if it was foreseen to remove this attribute ? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Components: implement internal dependencies and link order resolution Coming from #5090 Use ``deps`` or ``require`` to indicate the list of components that a component depends on: ``` self.cpp_info.components["comp1"].deps = ["comp2", "comp3"] ``` or prepare to model components depending on other components of a different library: ``` self.cpp_info.components["liba"].requires = ["::comp2", "other_lib::comp3"] ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: MSVC backend crashes when `c_pch` or `cpp_pch` is not an array https://github.com/mesonbuild/meson/blob/5626df46453e73b63827c4542aae36443fbd928b/mesonbuild/backend/vs2010backend.py#L864 ``` Traceback (most recent call last): File "mesonbuild\mesonmain.py", line 352, in run File "mesonbuild\mesonmain.py", line 147, in generate File "mesonbuild\mesonmain.py", line 197, in _generate File "mesonbuild\backend\vs2010backend.py", line 161, in generate File "mesonbuild\backend\vs2010backend.py", line 311, in generate_projects File "mesonbuild\backend\vs2010backend.py", line 864, in gen_vcxproj IndexError: list index out of range ``` The PCH example from the manual is sufficient to reproduce this issue: http://mesonbuild.com/Precompiled-headers.html ```meson project('issue2833', 'c') sourcelist = files('main.c') executable('myexe', sources : sourcelist, c_pch : 'pch/myexe_pch.h') ``` Build with `meson --backend vs2017 builddir/`. --- _Side note:_ The Ninja backend is slightly more helpful. It tells you that MSVC expects `c_pch` and `cpp_pch` to be an array. ``` Traceback (most recent call last): File "mesonbuild\mesonmain.py", line 352, in run File "mesonbuild\mesonmain.py", line 147, in generate File "mesonbuild\mesonmain.py", line 197, in _generate File "mesonbuild\backend\ninjabackend.py", line 210, in generate File "mesonbuild\backend\ninjabackend.py", line 362, in generate_target File "mesonbuild\backend\ninjabackend.py", line 2283, in generate_pch File "mesonbuild\backend\ninjabackend.py", line 2244, in generate_msvc_pch_command RuntimeError: MSVC requires one header and one source to produce precompiled headers. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Support TensoredMeasFitter in QuantumInstance <!-- ⚠ 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? Currently QuantumInstance supports as error mitigation input classes: `CompleteMeasFitter` and `TensoredMeasFitter`. However, its implementation is incomplete in `measurement_error_mitigation.py`: ``` if fitter_cls == CompleteMeasFitter: meas_calibs_circuits, state_labels = complete_meas_cal( qubit_list=range(len(qubit_list)), circlabel=circlabel ) elif fitter_cls == TensoredMeasFitter: # TODO support different calibration raise QiskitError("Does not support TensoredMeasFitter yet.") else: raise QiskitError("Unknown fitter {}".format(fitter_cls)) ``` Support should be added for `TensoredMeasFitter`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Prefect Docker Agent Continuously Launches Containers when using Concurrency Tags ## Description Hi everyone, I have been testing with concurrency tags and had a question about some behavior I am seeing with docker. It seems that after a task has been waiting (via concurrency tag limit) for 10 minutes, the prefect docker agent starts continuously spinning up new containers for that flow that is waiting to start. If I do a “docker ps” I could see 20 or more containers running for that flow. ## Expected Behavior While a flow is paused due to a concurrency tag limit, new docker containers are not continuously spun up by the agent. ## Reproduction It should be fairly simple to reproduce. 1. Create two flows that have tasks that take over 10 minutes to run. 2. Assign those long tasks to use the same concurrency tag. 3. Spin up one prefect docker agent to run the flows. 4. After 10 minutes check docker with "docker ps". ## Environment Prefect Version: 0.10.6 Docker Engine Version: 19.03.6-ce Storage Type: Docker OS: Replicated the issue on both Mac and Amazon Linux 2 Optionally run `prefect diagnostics` from the command line and paste the information here. --> Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: 0.50.0 regression/feature: ERROR: Subdir keyword must not be an absolute path Mutter is failing to configure with following error: ``` cogl/cogl/meson.build:513:0: ERROR: Subdir keyword must not be an absolute path. ``` I just did not see this in release-notes. If this is intentional, please add entry in release notes. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [1.27.0_rc2] Version bump missing in setup.py (but advertised as a bugfix in change log) Hi! I noticed that the change log of 1.27.0_rc2 advertises `Fix float to bytes conversion via docker-py bump to 4.3.1` (see 45c6730e6464cb6e22439c558d3036647b301610) yet `setup.py` does not depend on that new version, see https://github.com/docker/compose/blob/45c6730e6464cb6e22439c558d3036647b301610/setup.py#L35 Is the bump missing in `setup.py`? Best, Sebastian Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Feature request: enable XLA PopulationCount op I think XLA has a PopulationCount op, listed [here](https://www.tensorflow.org/xla/operation_semantics#element-wise_unary_functions). Is it straightforward for JAX to expose it in lax.py? @hawkinsp I'm thinking you might be the right person to ask. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: make metric-comparison in ModelCheckpoint robust to NaN ## 🐛 Bug When the metric that is used in `ModelCheckpoint` reaches `NaN` in one epoch and then returns to a number in the following epoch, the model will not be saved as comparisons to `NaN` always return `False`. Here a screenshot from my training: ![Screenshot from 2020-03-02 14-31-46](https://user-images.githubusercontent.com/19200479/75686136-a9fb7b80-5c93-11ea-9f53-550b572f9105.png) ### Expected behavior I think it would make sense to no save the model if the metric is `NaN`. ### Environment - PyTorch Version (e.g., 1.0): 1.2.0 - OS (e.g., Linux): Ubuntu 18.04 - How you installed PyTorch (`conda`, `pip`, source): pip - Python version: 3.7 - 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 ipython/ipython codebase. Here's the problem: calling .abort on AsyncMapResult results in traceback traceback says AsyncMapResult object has no attribute 'client' @fperez just ran into this doing a live demo, here's the TB: ``` python --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) /home/sgeadmin/<ipython-input-45-75c2b5e59cd8> in <module>() ----> 1 amr.abort() /software/python-2.7.1-release/lib/python2.7/site-packages/IPython/parallel/client/asyncresult.pyc in abort(self) 196 """abort my tasks.""" 197 assert not self.ready(), "Can't abort, I am already done!" --> 198 return self.client.abort(self.msg_ids, targets=self._targets, block=True) 199 200 @property /software/python-2.7.1-release/lib/python2.7/site-packages/IPython/parallel/client/asyncresult.pyc in __getattr__(self, key) 239 except (error.TimeoutError, KeyError): 240 raise AttributeError("%r object has no attribute %r"%( --> 241 self.__class__.__name__, key)) 242 243 # asynchronous iterator: AttributeError: 'AsyncMapResult' object has no attribute 'client' ``` Fernando said @minrk should be able to fix it before end of class :) (in an hour) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Pulse DeviceSpecification to handle uchannels <!-- ⚠ 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? Currently `DeviceSpecification` cannot receive `u_channel_lo` from backend. It is not a list of `float` (see spec p.32), and LO is not configurable. Currently `device.q[0].control.lo_freq` cannot show any LO frequency information. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [Requires Aer 0.2] BackendSchema list coupling_map as optional <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? The schemas in `qiskit.providers.model` list `coupling_map` as an optional field in the `backend.configuration` when it is in fact required. ### 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 conda/conda codebase. Here's the problem: An unexpected error has occurred, please consider sending the following traceback to the conda GitHub issue tracker Hello. When trying to update anaconda recently via conda update anaconda, I received this error and was told to submit the issue here. This is the result from conda info. Traceback (most recent call last): File "/Users/danielr/anaconda/bin/conda", line 3, in <module> from conda.cli import main File "/Users/danielr/anaconda/lib/python2.7/site-packages/conda/cli/**init**.py", line 8, in <module> from conda.cli.main import main File "/Users/danielr/anaconda/lib/python2.7/site-packages/conda/cli/main.py", line 48, in <module> from conda.cli import main_create File "/Users/danielr/anaconda/lib/python2.7/site-packages/conda/cli/main_create.py", line 11, in <module> from conda.cli import common, install File "/Users/danielr/anaconda/lib/python2.7/site-packages/conda/cli/install.py", line 18, in <module> import conda.plan as plan File "/Users/danielr/anaconda/lib/python2.7/site-packages/conda/plan.py", line 22, in <module> from conda.fetch import fetch_pkg File "/Users/danielr/anaconda/lib/python2.7/site-packages/conda/fetch.py", line 24, in <module> from conda.connection import CondaSession, unparse_url, RETRIES File "/Users/danielr/anaconda/lib/python2.7/site-packages/conda/connection.py", line 22, in <module> import requests ImportError: No module named requests Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ENH: Expose `bit_count` ufunc equivalent to the scalar methods Modern CPUs have a builtin [popcount](https://en.wikichip.org/wiki/population_count) instruction that counts the number of 1 bit in an unsigned integer. It would be great if numpy has a routine that exposes this operation. Both GCC and MSVC have builtin functions for this instruction. Possible usage: ```python >>> np.popcount(4) 1 >>> np.popcount(np.arange(5, dtype=np.uint)) array([0, 1, 1, 2, 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 mesonbuild/meson codebase. Here's the problem: Linking with Clang 3.9 using LTO is broken by Meson 0.57 **Describe the bug** Clang 3.9 does not support `-flto-jobs` (added by #7820 / #8087). **To Reproduce** Use `clang-3.9` as the compiler for a build and enable LTO. The build fails when linking and clang is called with `-flto-jobs=0`, e.g.: ``` $ clang-3.9 -flto-jobs=0 clang: error: unknown argument: '-flto-jobs=0' clang: error: no input files ``` ``` $ clang-4.0 -flto-jobs=0 clang: error: no input files ``` **Expected behavior** Meson should not try to use `-flto-jobs` with Clang 3.9 **system parameters** * Ubuntu 18.04/20.04 * Python 3.8.10 * Meson 0.60.1 * Ninja 1.10.2.2 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 Qiskit/qiskit codebase. Here's the problem: fixing timeout bug when timeout is not a multiple of wait time minor bug when checking for timeout Issue 29 - New Make.bat script to support operating with Windows <!--- Provide a general summary of your changes in the Title above --> Solves #29 ## Description <!--- Describe your changes in detail --> A new Make.bat script file has been created to support all the Makefile targets in Windows: ``` Make.bat run Make.bat test Make.bat profile Make.bat doc Make.bat clean ``` ## How Has This Been Tested? <!--- Please describe in detail how you tested your changes. --> <!--- Include details of your testing environment, and the tests you ran to --> <!--- see how your change affects other areas of the code, etc. --> All targets have been executed locally. There are problems with 'doc' target, because it invokes another Make.bat script file already present in the /doc sub-directory, that is malfunctioning. We will fix it in another issue. ## Screenshots (if appropriate): ## Types of changes <!--- What types of changes does your code introduce? Put an `x` in all the boxes that apply: --> - [ ] Bug fix (non-breaking change which fixes an issue) - [X] New feature (non-breaking change which adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) ## Checklist: <!--- Go over all the following points, and put an `x` in all the boxes that apply. --> <!--- If you're unsure about any of these, don't hesitate to ask. We're here to help! --> - [ ] My code follows the code style of this project. - [ ] My change requires a change to the documentation. - [ ] I have updated the documentation accordingly. - [ ] I have read the **CONTRIBUTING** document. - [ ] I have added tests to cover my changes. - [X] All new and existing tests passed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: bloom add_prefix_space= True ### System Info Hi dear officer I use Bloom BloomTokenizerFast as a tokenizer. here is an issue. Version =4.28.0 when I use BloomTokenizerFast, I find the add_prefix_space= True is not useful. Here is the code. `tokenizer = BloomTokenizerFast.from_pretrained("bigscience/bloom",add_prefix_space = True) print(tokenizer.add_prefix_space) print(tokenizer("Hello world")["input_ids"]) print(transformers.__version__) True [59414, 8876] 4.28.0 ` here is other code. `from transformers import BloomTokenizerFast tokenizer = BloomTokenizerFast.from_pretrained("bigscience/bloom") print(tokenizer("Hello world")["input_ids"]) [59414, 8876] ` I don't know why they will encode the same result. please have a look! Thanks ### Who can help? @Arth ### Information - [ ] The official example scripts - [X] My own modified scripts ### Tasks - [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction It should encode different results. since add_prefix_space= True. ### Expected behavior It should encode different results. since add_prefix_space= True. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: pdb completion menu not honouring prompt_toolkit style The menu colors look different when inside pdb (after %debug) than when outside it. In particular, neither of: ``` Token.Menu.Completions Token.Menu.Completions.Completion Token.Menu.Completions.Completion.Current Token.Menu.Completions.Meta Token.Menu.Completions.Meta.Current Token.Menu.Completions.MultiColumnMeta ``` is taken into account. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: result.get_memory() command We have many requests to have the random numbers streamed in memory. The basic idea is to get something to run like ``` backend = IBMQ.get_backend('name') backend.update_settings('memory'=True) job = backend.run(qobj) result = job.result() ``` then we go ``` outcomes = result.get_memory() ``` outcomes will be ``` ['010', '100', '111' ...] ``` - [ ] make sure the experiment can work with it @taalexander is doing this - [ ] pass the api - [ ] qiskit function exists to get_memory Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Don't allow passing parameters that don't exist `FlowRunner` raises an error if you run a flow and don't pass a required parameter, but it has no problem with users providing a parameter that doesn't exist. This should raise an error as well to avoid confusion. ```python f = Flow() f.run(parameters=dict(a=1)) # no error! ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Move pulse samplers into pulse_lib module <!-- ⚠ 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? Samplers are only used for constructing pulses. These should be moved within the pulse_lib module. I believe these are internal only for now and should be movable without using a shim. Thoughts @mtreinish? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: 1.3.0 regression: tools.save doesn't have "append" parameter For no obvious reason `conans.util.files.save` method was split into 2 methods: `save` and `save_append` with former not having `append` parameter and latter not being exported from `tools`. Since `tools.save` is in [the documentation](http://docs.conan.io/en/latest/reference/tools.html#tools-save) I consider it as a public API and suggest restore previous 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 PrefectHQ/prefect codebase. Here's the problem: Rename `CloudEnvironment` -> `DaskKubernetesEnvironment` Couple of changes here: 1. Rename the environment 2. Allow it to be slightly more customizable. A good first step is allowing the # of min/max workers to be specified Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] Conan 2.0 build command no longer displays input profiles ### Environment details * Operating System+version: Debian 10 * Compiler+version: N/A * Conan version: 2.0 * Python version: N/A ### Steps to reproduce conan-2.0 build -pr:b tools.jinja -pr:h tools.jinja --name zlib --version 1.2.11 . ### Logs conan-2.0 build -pr:b tools.jinja -pr:h tools.jinja --name zlib --version 1.2.11 . ======== Computing dependency graph ======== Graph root conanfile.py (zlib/1.2.11): /tmp/tmp.E0yZBKFZqA/zlib/conanfile.py Build requirements cmake/3.25.2#3879379b09c6c62f34968ecd870c278f - Cache openssl/1.1.1t#48dbd82b8f9c47890074d82aafe302e1 - Cache ======== Computing necessary packages ======== Build requirements cmake/3.25.2#3879379b09c6c62f34968ecd870c278f:d51b94ec024af4a0f47ccf0400b7a0e260c30ff0#042b95eec03536ee7c6aea0e1157e2b9 - Cache openssl/1.1.1t#48dbd82b8f9c47890074d82aafe302e1:896855b1e3b5961bfcc08e699116d9ed588cac00#8a6a7d29ea2f08451c33f97867114fdc - Skip ======== Installing packages ======== Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: depends_on restarts dependent services when up is called I bring up two containers called master and slave where slave depends_on master. I destroy master. I then run `docker-compose up` and both slave and master are recreated even though nothing has changed about slave. ``` / $ docker-compose -v docker-compose version 1.7.0, build 0d7bf73 / $ docker -v Docker version 1.11.1, build 5604cbe ``` depends_on restarts dependent services when up is called I bring up two containers called master and slave where slave depends_on master. I destroy master. I then run `docker-compose up` and both slave and master are recreated even though nothing has changed about slave. ``` / $ docker-compose -v docker-compose version 1.7.0, build 0d7bf73 / $ docker -v Docker version 1.11.1, build 5604cbe ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: add option to build ".c" or ".gresource" out of gnome.compile_resources() It's not always needed to get `.c` + `.h`. Sometimes it's enough to get only `.c` or `.gresource. ``` (08:21:42 PM) ignatenkobrain: jpakkane: probably not, problem is that glib-compile-resources can generate `.c`, `.c + .h` or `.gresource` (08:21:57 PM) ignatenkobrain: I was thinking what's the best option to give user what exactly he wants (08:23:46 PM) jpakkane: No, that's too magic. Maybe something like have two methods, the current one and compile_gresource that produces a gresource file. Developers could the mix and match based on preference. (08:28:06 PM) ignatenkobrain: or having option: `output_mode` in (`source`, `header`, `sourceheader` (default), `gresource`), wdyt? (08:39:14 AM) TingPing: ignatenkobrain, i agree with simply adding another kwarg for it ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: [Flax]Not able to Run Hugging Face GPT2 model for jax on TPU's Hi,Trying to do FlaxGPT2ForMultipleChoice.I am trying to run GPT2 using hugging face for TPU's.It is showing tuple out of index.But when i run it in CPU there is no such error.Even when i run a simple model without any code of mine it is also behaving the same in TPU. ![image](https://user-images.githubusercontent.com/58116635/124922271-f5a3ff00-e016-11eb-8679-3258fc3727e9.png) This below example is for a basic model ![image](https://user-images.githubusercontent.com/58116635/124922511-313ec900-e017-11eb-9d2c-7473fe8b21af.png) To Reproduce This is the colab notebook: https://colab.research.google.com/drive/1h8CeTM5NUpHeS1oGHONX1YbwtGHf3nyU?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 huggingface/transformers codebase. Here's the problem: AutoTokenizer does not support XGLMTokenizer ## Environment info <!-- You can run the command `transformers-cli env` and copy-and-paste its output below. Don't forget to fill out the missing fields in that output! --> - `transformers` version: 4.17.0.dev (f380bf2b612e6030ef8bc8904b287d274f035e29) - Platform: Linux - Python version: 3.8 - PyTorch version (GPU?): 1.9.0 - Tensorflow version (GPU?): n/a - Using GPU in script?: Yes - Using distributed or parallel set-up in script?: ### Who can help @patil-suraj ## Information Model I am using (Bert, XLNet ...): XGLM The problem arises when using: * [ ] the official example scripts: (give details below) * [X] my own modified scripts: (give details below) The tasks I am working on is: * [ ] an official GLUE/SQUaD task: (give the name) * [X] my own task or dataset: (give details below) ## To reproduce Steps to reproduce the behavior: Just execute this piece of code: ``` from transformers import AutoTokenizer tokenizer=AutoTokenizer.from_pretrained(facebook/xglm-1.7B") ``` ## Expected behavior tokenizer to be of class "XGLMTokenizer" Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Improved error message for overlapping pulses <!-- ⚠ 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 current pulse overlap error message reads: `PulseError: 'Child schedules <Schedule 0>, <Schedule 1> overlap.'` For a user building pulse schedules, it would be nice for the error to give more information about how they overlapped, so the user could more easily debug their mistake. (For example, in my case, schedule 0 involved only qubit 0, and I thought schedule 1 involved only qubit 1, but I was actually measuring qubit 1 into mem slot 0, causing the conflict.) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: optimize_1q_gates does not preserve circuit order Following #2000, the `Optimize1qGates` pass appends the 1q gate to the end of the DAG, rather than inserting it in place. e.g. ``` >>> import qiskit as qk >>> qr = qk.QuantumRegister(2) >>> qc = qk.QuantumCircuit(qr) >>> qc.u1(0.1, qr[0]) <qiskit.extensions.standard.u1.U1Gate object at 0x101c98128> >>> qc.u1(0.2, qr[0]) <qiskit.extensions.standard.u1.U1Gate object at 0x101c985f8> >>> qc.cx(qr[1],qr[0]) <qiskit.extensions.standard.cx.CnotGate object at 0x101c98208> >>> print(qc.draw()) ┌─────────┐┌─────────┐┌───┐ q0_0: |0>┤ U1(0.1) ├┤ U1(0.2) ├┤ X ├ └─────────┘└─────────┘└─┬─┘ q0_1: |0>────────────────────────■── >>> from qiskit.transpiler.passes import Optimize1qGates >>> from qiskit.converters import circuit_to_dag, dag_to_circuit >>> print(dag_to_circuit(Optimize1qGates().run(circuit_to_dag(qc))).draw()) ┌───┐┌─────────┐ q0_0: |0>┤ X ├┤ U1(0.3) ├ └─┬─┘└─────────┘ q0_1: |0>──■───────────── ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Networking doesn't work with Windows containers due to disconnecting containers from networks See @taylorb-microsoft's comment here: https://github.com/docker/compose/commit/313c584185f3999eb7a9ad0b7792a251b0afcbf8#commitcomment-16546187 Windows doesn't support disconnecting containers from networks and isn't going to any time soon. It seems like we should get better APIs for updating aliases on containers instead of doing this which feels like hack. This is blocking Compose working with Windows containers, I believe. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `pre-commit` as part of the `build-system` seems super heavy From a downstream perspective, adding `pre-commit` as part of the `build-system` seems super heavy, as noted on https://github.com/conda-forge/jupyterlab-feedstock/pull/333 _Originally posted by @bollwyvl in https://github.com/jupyterlab/jupyterlab/issues/12279#issuecomment-1125035020_ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: 'QueryResults.job' returns a new instance on each access. See second item of #1551. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 backends do not use b_pch When setting `b_pch=false`, a meson project (e.g. test case `common/13 pch`) compiles fine with VS, but fails with ninja. This assumes the project is set up in a way that it requires PCH in order to compile (because it does not add individual includes to source files). However, the correct behavior would be for VS to also fail, since it should be possible to toggle usage of PCH just by switching the `b_pch` option. If a project is set up incorrectly, VS should not make it compile magically. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Provide link aliases I'm trying to use fig to assemble our application and have run into a use case that I don't see supported at the moment: I need to have a service that has 2 links to the same container, like so: ``` links: - db:db - db:legacydb ``` The reason is that in some environments those are 2 different containers but in a dev environment they're set up as one. Is this something that is coming down the road for fig? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Optionally Skip Testing When Cross Building I am cross compiling libraries with test_packages which cannot be built for the target platform. Currently, this causes unnecessary build failures because the test_package build fails due to incompatibility with the platform. I would like to specify on the command line that test failures should not cause this build to fail because I know that these failures are false positives. While it can be argued that all code should always be tested for all platforms, doing so is not feasible in my case since it would require adding large amounts of platform specific code to the test_package and running the executable in an emulator. Currently, the simplest solution to this problem is to run `export` and `install` manually, but doing so is inconvenient and it's easy to forget to `export`. Adding more sophisticated options to each conanfile is perhaps more clean but requires additional work in each used package which may be maintained by third parties. To fix this issue, a simple `--no-test` flag should be added to `conan create`. *EDIT*: I just noticed that test_packages are only run for the current package, not those being built using `--build`. Originally, I detailed a system that allowed selectively disabling tests, but this fact greatly simplifies the issue. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Missing activation Function I think the sigmoid / softmax activation function is missing here https://github.com/huggingface/transformers/blob/31ec2cb2badfbdd4c1ac9c6c9b8a74e974984206/src/transformers/models/roberta/modeling_tf_roberta.py#L1299 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Statevectors and unitaries should not be stored as lists of complex in Result class <!-- ⚠ 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? Currently the `Result` class stores statevectors and unitary matrices as lists and nested list of complex numbers, respectively. This however makes little sense as simulators use NumPy arrays, or c-aligned vectors that can directly be instantiated from NumPy arrays, internally. Thus the one starts with aligned data, makes a copy to lists in `Result` and then makes another copy of the data when doing `get_statevector()` or `get_unitary()` that returns a NumPy array. Why not just store the data as NumPy arrays in the `Results` to begin with? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Use `type(o)` instead of `o.__class__` in `ndb` See https://github.com/googleapis/google-cloud-python/pull/6487#discussion_r233600589 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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.linspace() does not faithfully recover endpoints Example: ```python >>> import numpy as np >>> import jax.numpy as jnp >>> a, b = -2.3328583, 2.8459014 >>> np.linspace(a, b, 10)[-1] == b True >>> jnp.linspace(a, b, 10)[-1] == b DeviceArray(False, dtype=bool) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Allow max_chunk_size to be configurable [Here](https://github.com/gitpython-developers/GitPython/blob/cf8dc259fcc9c1397ea67cec3a6a4cb5816e3e68/git/cmd.py#L659) `max_chunk_size` will usually contain (depending on the platform) `8192`, which is a very high value for a chunk and won't trigger a `.write` (keep reading) until quite some output is printed to stdout. I propose to make that value configurable (maybe via an argument). My use case: I have the following class: class PipeIO(io.BytesIO): def __init__(self, cb): io.BytesIO.__init__(self) self.updater_cb = cb def write(self, b): buf = io.BytesIO.getbuffer(self).tobytes() progress = re.findall("(?<=\()\d+\/\d+(?=\))", buf.decode("utf-8")) try: self.updater_cb(progress[-1]) except: pass return io.BytesIO.write(self, b) And I use it like this: stdout = PipeIO(self.my_updater_callback) self.repo.git.filter_branch("-f", "--env-filter", s, output_stream = stdout) This will cause my callback to parse the content of the buffer every time [`.write`](https://github.com/gitpython-developers/GitPython/blob/cf8dc259fcc9c1397ea67cec3a6a4cb5816e3e68/git/util.py#L127) is called, which is very useful if I want to provide progress updates while running a long git command (like `filter-branch`). Possible solution: Make it possible to call raw commands with one extra argument: self.repo.git.filter_branch("-f", "--env-filter", s, output_stream = stdout, max_chunk_size = 32) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Documentation for `QuantumCircuit.assign_parameters` seems to be wrong <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.17.4 - **Python version**: 3.9.4 - **Operating system**: MacOS 10.14.6 ### What is the current behavior? The description of the `QuantumCircuit.assign_parameters` method in the [docs](https://qiskit.org/documentation/stubs/qiskit.circuit.QuantumCircuit.html#qiskit.circuit.QuantumCircuit.assign_parameters), says that: > "If an iterable, the elements are assigned to the existing parameters in the order they were inserted. " but this does not seem to be the behaviour of the function. Instead, if you call `QuantumCircuit.parameters` the parameters seem to be returned in lexical order and passing an iterable assigns elements to the existing parameters in that order. The documentation does say that the order will be specified by `QuantumCircuit.parameters`: > "You can call QuantumCircuit.parameters to check this order." But the comment about this being the order the parameters were inserted is misleading. ### Steps to reproduce the problem ```python from qiskit import QuantumCircuit from qiskit.circuit import Parameter circ = QuantumCircuit(4) for idx in range(12): circ.ry(Parameter('p'+f'{idx}'), idx%4) circ.draw() print(circ.parameters) circ2 = circ.assign_parameters([Parameter('q'+f'{idx}') for idx in range(12)]) circ2.draw() ``` The intended behaviour is to remap parameters so that 'p0 -> q0', 'p1 -> q1', 'p2 -> q2' etc. but because of the lexical ordering 'q2' instead replaces 'p10'. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: 1.20.0 output character error I recently upgraded to using version 1.20.0-rc2 and encountered this issue I'd never seen before. From the looks of it, it looks like it's an encoding issue... any other context needed? ``` Traceback (most recent call last): File "bin/docker-compose", line 6, in <module> File "compose/cli/main.py", line 71, in main File "compose/cli/main.py", line 127, in perform_command File "compose/cli/main.py", line 280, in build File "compose/project.py", line 372, in build File "compose/service.py", line 1003, in build File "compose/progress_stream.py", line 23, in stream_output File "compose/progress_stream.py", line 90, in print_output_event UnicodeEncodeError: 'ascii' codec can't encode character '\u2013' in position 151: ordinal not in range(128) [96] Failed to execute script docker-compose Exited with code 255 ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: `ipython console` doesn't send a `shutdown_request` When shutting down in any method, `ipython console` does not send the `shutdown_request` message to the language kernel. According to the [documentation](http://ipython.org/ipython-doc/dev/development/messaging.html#kernel-shutdown), this should be sending the `shutdown_request` message. As a result, it's difficult in an external language kernel to detect when the kernel should shut down, and the kernel process just ends up hanging around in the background forever. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: UI Doesn't use all of Bootstrap theme css, Airflow 2.0 **Apache Airflow version**: 2.0.0 **Environment**: Ubuntu - **Cloud provider or hardware configuration**: - **OS** (e.g. from /etc/os-release): - **Kernel** (e.g. `uname -a`): - **Install tools**: - **Others**: **What happened**: Picked Cyborg.css in web_server config but background is still default ![image](https://user-images.githubusercontent.com/23406205/102648950-3f7dd400-411d-11eb-880a-d70e89a5c45c.png) <!-- (please include exact error messages if you can) --> **What you expected to happen**: <!-- What do you think went wrong? --> **How to reproduce it**: <!--- As minimally and precisely as possible. Keep in mind we do not have access to your cluster or dags. If you are using kubernetes, please attempt to recreate the issue using minikube or kind. ## Install minikube/kind - Minikube https://minikube.sigs.k8s.io/docs/start/ - Kind https://kind.sigs.k8s.io/docs/user/quick-start/ If this is a UI bug, please provide a screenshot of the bug or a link to a youtube video of the bug in action You can include images using the .md style of ![alt text](http://url/to/img.png) To record a screencast, mac users can use QuickTime and then create an unlisted youtube video with the resulting .mov file. ---> **Anything else we need to know**: <!-- How often does this problem occur? Once? Every time etc? Any relevant logs to include? Put them here in side a detail tag: <details><summary>x.log</summary> lots of stuff </details> --> Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: fPIC flag is on for MSYS2/Cygwin MSYS2 and Cygwin are Unix-like environments that run on Windows. This means that meson presumably assumes it is running under a Unix and turns on the -fPIC flag for C(++) shared libraries. However, since it is actually a windows system, a warning about the flag is generated. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Complete the CMake variables for cpp_info.frameworks While integrating new changes in #5582, I realized some general variables are missing for frameworks. Currently, only the `CONAN_FRAMEWORK_<framework>` variable is generated, but there is no variable to iterate the global frameworks or the package's ones. These variables could be useful and should be added for completeness and consistency. - `CONAN_FRAMEWORKS`: GLobal variable with all the frameworks on the dependency graph. - `CONAN_FRAMEWORKS_<PKG-NAME>`: All frameworks of the package Additionally, check the tests that are checking the `CONAN_LIBS_<PKG-NAME>`, as this variable should only contain the package libraries but not the frameworks one. For example: https://github.com/conan-io/conan/pull/5582/files#diff-b50c3899bc268f45979432c9903b5539R343 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: pulse visualization does not truncate a command Suppose a schedule contains gates from 0 - 500 ns and readout from 500 - 2000 ns. When I use ``` sched.filter(time_ranges=[(0, 1000)]).draw() ``` I expect the schedule to be drawn up to 1000 ns. This means truncating, but showing, half of the readout. However currently it only draws up to 500 ns, because it does not want to truncate the readout. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 does not properly compute RUNPATH on a merged-usr system This was originally filed as https://github.com/systemd/systemd/issues/10430 Building systemd git master on a merged-/usr Debian sid system, results in broken test binaries. The RUNPATH is not properly set. After applying #4381, the test binaries are usable. But in case of ```/lib/x86_64-linux-gnu```, it shouldn't be added to RUNPATH at all, because this is a system library path. On a non-merged-/usr system, no such RUNPATH is added. It seems that the ```lib -> usr/lib``` symlink breaks the system library detection. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Pulse amplitude representation in pulse 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 behavior? From a calibration point of view, pulse amplitude is better to be represented in (`float` |amp|, `float` phase) rather than `complex` amp. Usually I tune pulse amplitude by amplitude sweep followed by error amplification, and then calibrate the phase separately. I often write wrapper function of one in the pulse library to convert (amp, phase) into complex value as an input, but changing the argument of those functions is more straightforward. Since they are public function, is it worth changing the interface? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Mime Renderer Simplification As noted in person with @gnestor and @ellisonbg last week: - We will create a separate package that has the [IRenderOptions](https://github.com/jupyterlab/jupyterlab/blob/3457b5d58a0b7496fb84608c7911bf5b6b99902b/packages/rendermime/src/rendermime.ts#L374) and [IWidgetFactoryOptions](https://github.com/jupyterlab/jupyterlab/blob/3457b5d58a0b7496fb84608c7911bf5b6b99902b/packages/docregistry/src/registry.ts#L771) interfaces. - A mime renderer "plugin" is one that consumes the render options and optionally provides widget factory options, exported as the default or as an array of defaults. - We enable in `package.json` as `jupyterlab: mimerenderer: true`. - We add a separate `renderTimeout` option that abstracts the `ActivityMonitor` handling for the renderer. - Plugins that are mimerenderers are automatically wrapped as application plugins. This enables the mime renderers to be as independent from the JupyterLab codebase as possible, ensuring long term compatibility as well as simplicity. @gnestor is working on a proof of concept. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: alias_target that depends on a run_target is quite broken While testing #9174, I tried to create the target I alluded to, there. In lib/libalpm/po/meson.build I added: ``` lib_mo = i18n.gettext(...) # this used to not be saved alias_target('regenerate-all-pot', lib_mo[1]) ``` In my build.ninja, I ended up with: ``` build regenerate-all-pot: phony | lib/libalpm/po/libalpm-pot ``` This is plainly wrong! It's reproducible with a simple meson.build ``` $ cat meson.build project('foo', 'c') subdir('in_subdir') $ cat in_subdir/meson.build r = run_target('run_a_target', command: ['echo', 'ran a target']) alias_target('aliased_run_a_target', r) ``` However, it is not reproducible in released meson at all, because instead I get: ``` in_subdir/meson.build:2:0: ERROR: Depends items must be build targets. ``` This seems like a regression from commit 982973f303e3d0431d9b79f89cdf2c8f1ee67bc0 which removed that error message and made it accept any build.Target -- which I then assumed should work while testing my PR... /cc @dcbaker I would actually sort of kind of like this to work properly as I'd like an alias_target that lets me run the i18n.gettext() pseudo-targets for multiple gettext domains in a single ninja invocation. Currently we have a 40-line shell script which spends most of its time trying to find the builddir. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Misleading error when from_pretrained fails, says there are flax weights when there aren't ### System Info ```shell - `transformers` version: 4.20.0.dev0 - Platform: Linux-5.14.0-1031-oem-x86_64-with-glibc2.17 - Python version: 3.8.12 - Huggingface_hub version: 0.4.0 - PyTorch version (GPU?): 1.10.0+cu102 (True) - Tensorflow version (GPU?): 2.9.0 (False) - 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? _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 Tiny bug in the from_pretrained code that checks if flax weights are present. ``` from transformers import AutoModel, AutoConfig config = AutoConfig.from_pretrained("roberta-base") model = AutoModel.from_pretrained("some_empty_dir", config=config) ``` ### Expected behavior ```shell Should return: EnvironmentError( f"Error no file named {WEIGHTS_NAME}, {TF2_WEIGHTS_NAME}, {TF_WEIGHTS_NAME + '.index'} or " f"{FLAX_WEIGHTS_NAME} found in directory {pretrained_model_name_or_path}." ) Instead returns: EnvironmentError( f"Error no file named {WEIGHTS_NAME} found in directory {pretrained_model_name_or_path} but " "there is a file for Flax weights. Use `from_flax=True` to load this model from those " "weights." ) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Wrong urls in LabConfig `jupyterlab_server` renamed several of the urls the `LabApp` config, and some of those have not been updated in `jupyterlab`, leaving a few of the lab commands broken (particularly workspace importing and exporting). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `qiskit.tools.visualization_state_visualization` module fails to import <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations - **Qiskit Terra version**: latest master - **Python version**: any - **Operating system**: any ### What is the current behavior? Since #1166 merged the api changed for the pauli_singles() function. However the `qiskit.tools.visualization_state_visualization` module still uses the old function and imports the function directly here: https://github.com/Qiskit/qiskit-terra/blob/master/qiskit/tools/visualization/_state_visualization.py#L23 ### Steps to reproduce the problem import qiskit.tools.visualization_state_visualization ### What is the expected behavior? You can import the module and use all the functions in it. ### Suggested solutions Update the use of `pauli_singles` to the new api post #1166 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Fetching next batch of results using BigQuery's dbapi Currently, the maximum number of rows that you can get when iterating using `fetchmany`, `fetchall` or `fetchone` is limited by `arraysize`. I see that those methods are using iterator returned by `_query_data.fetch_data()` with `max_results` set to `arraysize` https://github.com/GoogleCloudPlatform/google-cloud-python/blob/36304f7448677cff2f89558ef87c374e904a0492/bigquery/google/cloud/bigquery/dbapi/cursor.py#L171-L172 However, shouldn't it automatically fetch the next page of results when we are finished iterating over the current batch of results? Otherwise, it makes it impossible to retrieve full results from the query without setting`arraysize` to an arbitrary large number. Here is what I've tried: ``` cursor.execute('SELECT * FROM dataset.table') while True: rows = cursor.fetchmany(5000) if not rows: break for row in rows: print(row) ``` ``` cursor.execute('SELECT * FROM dataset.table') row = cursor.fetchone() while row: print(row) row = cursor.fetchone() ``` I am using google-cloud-bigquery 0.26.0 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: compose config command parses the healthcheck.interval to int while stack deploy need string first, I defined the healthcheck section in compose file like this: ``` healthcheck: test: ... interval: 1m30s timeout: 10s retries: 3 ``` then I use `docker-compose config > compose.yml` to generate the whole compose file to be used by deploy. when I use `docker stack deploy -c compose.yml srv` to create the stack, error: ``` services.nginx.healthcheck.interval must be a string ``` maybe `docker-compose config` should parse the time into 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 mesonbuild/meson codebase. Here's the problem: Massive regression in performance of the ninja backend I noticed that despite the perf improvements in the interpreter run time that were achieved for 0.46, the configure time for gtk+ actually went up by a few seconds. So I added some profiling and found this: `intr.run()` time went from [25.2s](https://github.com/mesonbuild/meson/files/1943956/intr-0.45.1.log) to [13.8s](https://github.com/mesonbuild/meson/files/1943958/intr-0.47.0.dev1.log) `g.generate()` time went from [4.2s](https://github.com/mesonbuild/meson/files/1943959/generate-0.45.1.log) to [*20.6s*](https://github.com/mesonbuild/meson/files/1943960/generate-0.47.0.dev1.log) The above links are all profile stat dumps which can be parsed with the [pstats module](https://docs.python.org/3/library/profile.html#module-pstats). I haven't looked into the profiles properly yet. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Language modelling head has zero weights in pretrained TFMobileBertForMaskedLM ## Description The `TFMobileBertForMaskedLM` example returns all zero logits while `MobileBertForMaskedLM` example works fine. https://huggingface.co/transformers/model_doc/mobilebert.html#tfmobilebertformaskedlm I checked language modeling head weights for both models and found that TF pretrained model has zero weights. ## Environment info <!-- You can run the command `transformers-cli env` and copy-and-paste its output below. Don't forget to fill out the missing fields in that output! --> - `transformers` version: 4.3.0 - Platform: Google Colab - Python version: 3.6.9 - PyTorch version (GPU?): 1.7.0+cu101 - Tensorflow version (GPU?): 2.4.1 - Using GPU in script?: No - Using distributed or parallel set-up in script?: No ### Who can help @jplu @patrickvonplaten ## Information Model I am using (Bert, XLNet ...): TFMobileBertForMaskedLM The problem arises when using: - [x] the official example scripts: (give details below) ## To reproduce ``` from transformers import MobileBertForMaskedLM from transformers import TFMobileBertForMaskedLM # PyTorch model = MobileBertForMaskedLM.from_pretrained('google/mobilebert-uncased') print(list(model.cls.parameters())[0]) # Parameter containing: # tensor([-7.2946, -7.4302, -7.5401, ..., -7.4850, -7.4503, -2.7798], # requires_grad=True) # TensorFlow model = TFMobileBertForMaskedLM.from_pretrained('google/mobilebert-uncased') print(model.layers[1].get_weights()[0]) # array([0., 0., 0., ..., 0., 0., 0.], dtype=float32) ``` ## Expected behavior Language modeling head for TFMobileBertForMaskedLM should have the same weights as of MobileBertForMaskedLM Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Tokenization not working using v2.1 ## How to reproduce the behaviour I found a bug where tokenization is completely not working with version 2.1.0a10 on python 2.7. I have reproduced this on three of my machines. ``` $ conda create -n py27_spacy2 python=2.7 $ source activate py27_spacy2 $ pip install -U spacy-nightly $ python -m spacy download en_core_web_sm $ python -c "import spacy; nlp=spacy.load('en_core_web_sm'); doc=nlp(u'hello world'); print ','.join([t.text for t in doc])" h,e,ll,o,w,o,r,l,d ``` ## Your Environment * Operating System: Ubuntu * Python Version Used: 2.7 * spaCy Version Used: 2.1.0a10 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Doc broken / Link broken * The readme link "Lightning module" is broken: https://pytorch-lightning.readthedocs.io/en/latest/LightningModule/RequiredTrainerInterface/ * The source link in documentation goes nowhere: https://pytorch-lightning.readthedocs.io/en/latest/logging.html click on source goes to https://github.com/PyTorchLightning/PyTorch-Lightning/blob/pytorch_lightning/logging.py It is really confusing and worrying for news comer like me who expect a simple and easy to plug api well documented and maintained. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Traceback on Qt console exit Start the Qt console, and then type `exit` to exit it (closing it from the frontend doesn't exhibit the bug). I see this message, repeated twice: ``` Traceback (most recent call last): File "/home/takluyver/.local/lib/python3.4/site-packages/IPython/qt/console/frontend_widget.py", line 812, in _document_contents_change self._call_tip() File "/home/takluyver/.local/lib/python3.4/site-packages/IPython/qt/console/frontend_widget.py", line 724, in _call_tip msg_id = self.kernel_client.inspect(code, cursor_pos) File "/home/takluyver/.local/lib/python3.4/site-packages/IPython/kernel/channels.py", line 326, in inspect self._queue_send(msg) File "/home/takluyver/.local/lib/python3.4/site-packages/IPython/kernel/channels.py", line 171, in _queue_send self.ioloop.add_callback(thread_send) File "/usr/lib/python3/dist-packages/tornado/ioloop.py", line 732, in add_callback raise RuntimeError("IOLoop is closing") RuntimeError: IOLoop is closing If you suspect this is an IPython bug, please report it at: https://github.com/ipython/ipython/issues or send an email to the mailing list at ipython-dev@scipy.org You can print a more detailed traceback right now with "%tb", or use "%debug" to interactively debug it. Extra-detailed tracebacks for bug-reporting purposes can be enabled via: c.Application.verbose_crash=True ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Wrong Tooltip with shift-tab @andram opened jupyter/notebook#520 at 2015-10-01 10:09:29 UTC If a notebook cell starts with a multiline string, then shift-tab gets confused and shows the wrong tooltips for following lines. For example consider a cell containing the following 5 lines: ``` """ Docstring """ max() min() ``` now position the cursor inside the brackets of max(). Expected behaviour is that the docstring for `max` is shown. Actual behaviour is that the docstring for min is shown. (see attached screenshot for current github version of jupyter notebook) ![notebook_tooltip_problem](https://cloud.githubusercontent.com/assets/3459178/10218173/b2415676-682c-11e5-8551-708c1dc1ab53.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 ipython/ipython codebase. Here's the problem: IPython swallows exceptions in repr ### IPython console behavior ``` Python In [1]: class Foo(object): ...: def __repr__(self): ...: raise Exception() ...: In [2]: Foo() Out[2]: <repr(<__main__.Foo at 0x7f50f6bb69d0>) failed: Exception: > ``` ### Normal Python repl behavior ``` Python >>> class Foo(object): ... def __repr__(self): ... raise Exception() ... >>> Foo() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "<stdin>", line 3, in __repr__ Exception ``` In some cases (particularly the case that I'm dealing with), it'd be nice for IPython to allow this exception to bubble up to the user, rather than just printing it out. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Local filesystem channel fails with conda 4.6 ## Current Behavior After updating to conda 4.6.1, using a local channel with for example `conda search -c file:///some/path '*'` fails with an `UnavailableInvalidChannel` error, while it worked as expected with conda 4.5.12. ### Steps to Reproduce ``` $ tree /opt/conda/conda-bld /opt/conda/conda-bld └── noarch └── mypkg-1.0.0-py_0.tar.bz2 $ conda index /opt/conda/conda-bld $ conda search -c file:///opt/conda/conda-bld '*' UnavailableInvalidChannel: The channel is not accessible or is invalid. channel name: opt/conda/conda-bld channel url: file:///opt/conda/conda-bld error code: 404 You will need to adjust your conda configuration to proceed. Use `conda config --show channels` to view your configuration's current state, and use `conda config --show-sources` to view config file locations. As of conda 4.3, a valid channel must contain a `noarch/repodata.json` and associated `noarch/repodata.json.bz2` file, even if `noarch/repodata.json` is empty. Use `conda index /opt/conda/conda-bld`, or create `noarch/repodata.json` and associated `noarch/repodata.json.bz2`. ``` When switching back to conda 4.5.12 it works as expected: ``` $ conda install -y conda==4.5.12 $ conda search -c file:///opt/conda/conda-bld '*' Loading channels: done # Name Version Build Channel mypkg 1.0.0 py_0 conda-bld ``` ## Expected Behavior The local channel should be used successfully as with conda 4.5.12. ## Environment Information conda: 4.5.12 conda-build: 3.17.8 python: 3.7.1 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 gitpython-developers/GitPython codebase. Here's the problem: RFE: Give Commit objects a replace method that returns new Commit with modified attributes The `datetime` objects produced by Python's `datetime` module are immutable, much like `Commit` objects. The `datetime` module provides a convenient `replace` function that returns a new object based on an old with one or more attributes replaced. E.g, I can write: ``` >>> d = datetime.datetime.now() >>> d.replace(hour=0, minute=0, second=0) datetime.datetime(2021, 2, 15, 0, 0, 0, 318021) ``` I would like to see the same api on `Commit` objects, so that one could write: ``` >>> newcommit = oldcommit.replace(message='This is a test', author='Cookie Monster') ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Proposal: New field to define ordered start and stop Original implementation is #686 Now that networks don't require you to define service dependencies we could provide a new field to define an order, allowing applications to start and stop containers in a specific order. The advantage to a new field (and not re-using an existing one), is that it allows applications that don't need an order to start and stop everything in parallel. Order would only be applied explicitly if the user wants it. This does not address healthchecking and the problems described in #374, but it's a prerequisite of any solution to that problem. It does solve issues like #2619 (and maybe others?). Current proposal is to name the field `depends_on` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 option vertically_compressed is not exposed into higher drawing APIs _Originally posted by @1ucian0 in https://github.com/Qiskit/qiskit-terra/pull/2480#issuecomment-494994853_ The text drawer has an option to enable and disable vertical compression: `vertically_compressed`. However, this option is not exposed by `circuit_drawer` or `QuantumCircuit.draw`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Support storing results in a specific schema of a PostgreSQL database I'm using celery in a PostgreSQL environment where I only have a single database. So I use the "schema" idiom to keep non-strongly-related data apart. That's why I'd like to be able to store the celery task results in a different schema than the default "public" one. Source code modification would take place in `backends/database/models.py`, both the Task & TaskSet tables and their related Sequence. Plus of course adding a configuration hook to specify the schema name. Thanks! Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: "Failed to parse JSON: No active field found" when using load_table_from_json() On Mac (Python 3.7.4 & google-cloud-bigquery==1.19.0) I'm using the following code: ``` from google.cloud import bigquery test_ndjson = '{"name": "bob"}' client = bigquery.Client() table_ref = client.dataset('my_ds').table('test') job_config = bigquery.LoadJobConfig() job_config.write_disposition = bigquery.WriteDisposition.WRITE_TRUNCATE job_config.source_format = bigquery.SourceFormat.NEWLINE_DELIMITED_JSON job_config.autodetect = True job = client.load_table_from_json(test_ndjson, table_ref, job_config=job_config) job.result() # Waits for table load to complete. ``` I get: > google.api_core.exceptions.BadRequest: 400 Error while reading data, error message: Failed to parse JSON: No active field found.; ParsedString returned false When I do exactly the same thing using the bq command it works as expected: ``` echo '{"name": "bob"}' > data.json bq load --apilog '' --source_format=NEWLINE_DELIMITED_JSON --autodetect=True myproject\:my_ds.test ./data.json ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Websecurityscanner: needs 'synth.py' Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] 2.0 Remove "imports" and "deploy" mechanism We think that the imports use cases can be solved with other mechanisms: `imports()` method: 1. Import a tool from a dependency to run it, like cmake: Superseded by virtual environments. 2. Import shared libraries to run something in the build method. Superseded by virtual environments, and also broken because if you want to build a package locally you want to import the artifacts at "generate" time, not just before calling "build()" 3. Import any asset from dependencies necessary for building (same case 2) **Both could be done using the new `copy` tool and iterating the dependencies. Include a POC to see how it could look (access to bindirs, libdirs...) and maybe propose some tool to help?** `imports()` command: 1. Bring some things to the local directory, shared, or tools or whatever. But we were missing the very requested feature of installing the packages from the dependencies in a local directory but pointing the generators to these local folders, so you can distribute all as a zip (*1) `deploy()` method Kind of mixed-use case where you also can copy files from the package itself. **We will try to implement something in the direction of (\*1) in a different issue** Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: python -m transformers.onnx --model=Helsinki-NLP/opus-mt-en-zh onnx/ ### System Info transformers:4.22.2 python3.8.4 win10 raise ValueError( ValueError: Outputs values doesn't match between reference model and ONNX exported model: Got max absolute difference of: 2.8133392333984375e-05 ### Who can help? _No response_ ### Information - [ ] The official example scripts - [X] My own modified scripts ### Tasks - [x] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction python -m transformers.onnx --model=Helsinki-NLP/opus-mt-en-zh onnx/ ### Expected behavior Export onnx and translate through onnx https://www.kaggle.com/code/catchlife/translate-opt Custom export has incorrect translation results Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Rename `themeDir` to `themePath` For theme extensions, it appears that `themeDir` package.json property was changed to `themePath`. However, there are still some references to `themeDir` in [commands.py](https://github.com/jupyterlab/jupyterlab/blob/73c33aa2225fb8b2fe86be1e5e35f91b958a7057/jupyterlab/commands.py): https://github.com/jupyterlab/jupyterlab/search?utf8=%E2%9C%93&q=themedir&type= This is probably a bug and those references should probably be replaced with `themePath`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Registers copied by reference <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.13.0 - **Python version**: 3.7.5 - **Operating system**: MacOS Catalina ### What is the current behavior? The registers in the circuit are copied via reference. Modifying the registers in the copied circuit changes the original circuit. Note that this causes Aqua algorithms such as the VQE to fail, if passed a quantum circuit and run on the QASM simulator. This happens because the Algorithm may add a classical register called `'c'` to a copy of the Ansatz wavefunction multiple times, but since the original circuit is modified, the adding fails as a register called `'c'` already exists. ### Steps to reproduce the problem ```python circuit = QuantumCircuit(1) circuit.x(0) copied = circuit.copy() copied.add_register(ClassicalRegister(1, name='c')) print(circuit.cregs) ``` produces ``` [ClassicalRegister(1, 'c')] ``` ### What is the expected behavior? Copy `qregs` and `cregs`. ### Suggested solutions ```python # L1176 in quantumcircuit.py cpy = copy.copy(self) cpy.qregs = self.qregs.copy() cpy.cregs = self.cregs.copy() ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: NaT and extended sort order https://docs.scipy.org/doc/numpy-1.15.0/reference/generated/numpy.sort.html#numpy.sort describes how `np.nan` is handled for floating point data. `NaT` and datetime data are not mentioned. ### Reproducing code example: In the following, `NaN` is sorted to the end, while `NaT` is sorted to the start. ```python In [32]: arr = np.array([np.nan, 1, 2, 3]) In [33]: arr.sort(); arr Out[33]: array([ 1., 2., 3., nan]) In [34]: dtarr = np.array(['NaT', 1, 2, 3], dtype='datetime64[ns]') In [35]: dtarr.sort(); dtarr Out[35]: array([ 'NaT', '1970-01-01T00:00:00.000000001', '1970-01-01T00:00:00.000000002', '1970-01-01T00:00:00.000000003'], dtype='datetime64[ns]') ``` So my question: is NaT sorting to the start a bug or deliberate? If it's deliberate, I could add a section to the docs noting that. ### Numpy/Python version information: 1.16.0.dev0+9cc9f01 3.7.1 (default, Nov 6 2018, 18:45:35) [Clang 10.0.0 (clang-1000.11.45.5)] Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Do not use --no-undefined and --as-needed with lld cross-compiling for windows When cross-compiling and linking with lld + mingw for Windows, meson links with `--no-undefined` and `--as-needed`, both of these are not supported. Meson should either try if those flags are accepted by the linker before trying to use those or the defaults need adjustment for the case of lld when cross compiling for windows. (This can be easily worked around by disabling the flags, so this is not a urgent issue but should eventually be solved.) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Certain Fortran targets are always considered out of date **Describe the bug** In some situations ninja re-builds Fortran targets that do not need to get rebuild. **To Reproduce** ``` $ cd "test cases/fortran/3 module procedure" $ meson setup build $ ninja -C build ninja: Entering directory `build' [3/3] Linking target use_syntax $ ninja -C build ninja: Entering directory `build' ninja: no work to do. $ touch use_syntax.f90 $ ninja -C build/ ninja: Entering directory `build/' [2/2] Linking target use_syntax $ ninja -C build/ ninja: Entering directory `build/' [2/2] Linking target use_syntax $ ninja -C build/ ninja: Entering directory `build/' [2/2] Linking target use_syntax ``` **Expected behavior** Executing ninja twice should give "ninja: no work to do." **system parameters** * Native Build * Arch Linux * Python 3.10.10 * meson 1.0.1 * ninja 1.11.1 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] Unable to `python_requires_extend` a package with a '.' in the name ### Environment Details (include every applicable attribute) * Operating System+version: Windows 10 * Conan version: 1.25.1 * Python version: 3.8.1 ### Steps to reproduce (Include if Applicable) - Create a package with a '.' in the name (E.g. my.package/1.2.3) - Create a recipe for another package with ``` python_requires = 'my.package/1.2.3' python_requires_extend = 'my.package.MyPackage' ``` - Receive the error ERROR: too many values to unpack (expected 2) Can you help me debug this systematically and explain your reasoning?