[System] You are an expert software 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: splitdrive import issue on docker-compose==1.16.0 Using `Python 2.7.5` with `docker-compose==1.16.0` through `pip install --upgrade docker-compose==1.16.0` ``` Python 2.7.5 (default, Nov 20 2015, 02:00:19) [GCC 4.8.5 20150623 (Red Hat 4.8.5-4)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> from compose.utils import splitdrive Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/lib/python2.7/site-packages/compose/utils.py", line 15, in <module> from .config.errors import ConfigurationError File "/usr/lib/python2.7/site-packages/compose/config/__init__.py", line 6, in <module> from .config import ConfigurationError File "/usr/lib/python2.7/site-packages/compose/config/config.py", line 15, in <module> from . import types File "/usr/lib/python2.7/site-packages/compose/config/types.py", line 17, in <module> from compose.utils import splitdrive ``` Whereas using `docker-compose==1.15.0` through `pip install --upgrade docker-compose==1.15.0` **(tested using `docker-compose==1.15.0` and `docker-compose==1.14.0` both are working)** ``` Python 2.7.5 (default, Nov 20 2015, 02:00:19) [GCC 4.8.5 20150623 (Red Hat 4.8.5-4)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> from compose.utils import splitdrive >>> ``` --- PS: I'm not using `docker-compose` python by myself, but it used by [_Ansible_](https://github.com/ansible/ansible) [docker-service module](http://docs.ansible.com/ansible/latest/docker_service_module.html) and with `docker-compose==1.16.0` I got that message ``` "msg": "Unable to load docker-compose. Try `pip install docker-compose`. Error: cannot import name splitdrive" ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Issue taking gradients through np.where when one of branches is nan. If you take gradients through np.where and one of the branches is nan, the gradient will be nan even if the branch is not taken. Here's a repro: ``` def test_fail(x): x = np.sqrt(np.sum(x ** 2, axis=1)) ones = np.ones_like(x) x = np.where(x > 0.5, x, ones) return np.sum(x) def test_succeed(x): x = np.sum(x ** 2, axis=1) ones = np.ones_like(x) x = np.sqrt(np.where(x > 0.5, x, ones)) return np.sum(x) x = np.array([[1, 2], [3, 4], [0, 0]], dtype=np.float64) print('Test np.sqrt then np.where = {}'.format(test_fail(x))) print('Gradient:') print(grad(test_fail)(x)) print('Test np.where then np.sqrt = {}'.format(test_succeed(x))) print('Gradient:') print(grad(test_succeed)(x)) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: post_package hook corrupts packages As it is done after the manifest is created, examples like the one in the docs: ```python import os from conans import tools SIGNATURE = "this is my signature" def post_package(output, conanfile, conanfile_path, **kwargs): sign_path = os.path.join(conanfile.package_folder, ".sign") tools.save(sign_path, SIGNATURE) output.success("Package signed successfully") ``` Will break the manifest, and ``conan upload --check`` will reject the package as corrupted Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Allow custom apps to reuse build system I've recently been experimenting with creating a custom lab app (https://github/com/vidartf/phoila). Mostly, I found the system to be configurable (some bits more easily than others), but the one bit I ended up having to monkey patch was [`_get_core_data`](https://github.com/jupyterlab/jupyterlab/blob/1365152c1da22b47920b6b3838e539590a300c83/jupyterlab/commands.py#L1731-L1735). This function supplies the core configuration of the build, but is an internal function that is impossible to configure (it uses a hard-coded local path). Would there be any disagreement to making this path configurable? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Supporting singledispatchmethod ### What should we add? Currently we cannot use the method dispatch mechanism in Qiskit because `functuools.singledispatchmethod` is available in python 3.8+. I often prefer to use method dispatch to make code readable (rather than writing long if-clause), but EOL of python 3.7 is 2023-06-27. Alternatively we can add this package to dependency. https://pypi.org/project/singledispatchmethod/ I'm not sure if adding more dependency makes sense since we can still write reasonable code without dispatch mechanism. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Add pip shadow packages into PrefixData Epic at #7053 Teach PrefixData to recognize when python is installed in an environment, and then scan site-packages to find packages that don't have metadata in conda-meta. Also replace `conda/egg_info.py` and how it influences `conda list`. Add pip shadow packages into PrefixData Epic at #7053 Teach PrefixData to recognize when python is installed in an environment, and then scan site-packages to find packages that don't have metadata in conda-meta. Also replace `conda/egg_info.py` and how it influences `conda list`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: make pmap compilation cache "act globally" with no axis name Both the `jit` and `pmap` compilation caches are global. The `jit` cache acts that way: ```python from jax import jit def f(x): print("miss") return x jit(f)(3) # prints jit(f)(3) # doesn't print, i.e. cache hit ``` But the `pmap` one seems not to when you don't provide a name for the axis: ```python from jax import pmap from jax.lib import xla_bridge as xb import jax.numpy as np def f(x): print("miss") return x x = np.ones(xb.device_count()) pmap(f)(x) # prints pmap(f)(x) # prints pmap(f, axis_name='i')(x) # prints pmap(f, axis_name='i')(x) # doesn't print ``` The issue is that when an axis name isn't provided, we create a dummy one, and we create a new one each time we evaluate `pmap(f)` to produce a new pmapped version of `f`. We should probably remedy that, since patterns like ```python for i in range(100): x = pmap(update)(x) ``` are handy, but they're currently a foot-gun with respect to compilation caching. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: pexpect version requirement Hello. I found that when I install ipython for python3.7 with `pexpect` of version `4.2.1`, ipython crashed with an syntax error, it is because `pexpect` of this version named an parameter with `async`, which becomes a reverved keyword since python3.7. I sugggest that `pexpect` version must be specified to be compatible with python3.7 or above. 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 conan-io/conan codebase. Here's the problem: Deploy generator clobbers file permissions, including executable bit Deploying a binary file from a package using the deploy generator will discard executable bits, making any executables shipped with the package unusable out of the box. Example using ninja: ```sh $ conan install ninja_installer/1.9.0@bincrafters/stable -g deploy Configuration: [settings] arch=x86_64 arch_build=x86_64 build_type=Release compiler=gcc compiler.libcxx=libstdc++ compiler.version=7 os=Linux os_build=Linux [options] [build_requires] [env] Installing package: ninja_installer/1.9.0@bincrafters/stable Requirements ninja_installer/1.9.0@bincrafters/stable from 'conan-center' - Cache Packages ninja_installer/1.9.0@bincrafters/stable:44fcf6b9a7fb86b2586303e3db40189d3b511830 - Cache ninja_installer/1.9.0@bincrafters/stable: Already installed! Generator deploy created deploy_manifest.txt Generator txt created conanbuildinfo.txt ``` Output files are not executable: ```sh $ ls -l ninja_installer/bin total 4372 -rw-rw-r-- 1 me me 4473408 May 13 17:58 ninja ``` This is probably due to `shutils`: https://github.com/conan-io/conan/blob/a21899a3cded38650cf5c83d3177d1cdd5665114/conans/client/generators/deploy.py#L45 - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Include executable notebooks with all tutorials Each tutorial should include a downloadable IPython notebook for executing all of the tutorial code Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: num_qubits() for DictStateFn is inefficient To get the number of qubits, a list of all keys in the dictionary is constructed. But, only the length of the first key is used. Constructing the entire list is wasteful. https://github.com/Qiskit/qiskit-terra/blob/c3b2d7acb80fa89043e6f38efb501275ec296616/qiskit/opflow/state_fns/dict_state_fn.py#L82 This code should work: ```python len(next(iter(self.primitive))) ``` `%timeit` shows that the latter is faster even when the dict contains only two keys. - **Qiskit Terra version**: 123d829ac, Feb 3 master Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: return outside of function does not cause syntax error For example, this succeeds if executed in a cell: ```python def f(): pass return 5 ``` Matthias Bussonnier mentioned there had been similar issues with break and continue: https://groups.google.com/forum/#!topic/jupyter/EpJWG3rPK90 He suggested the issue might be somewhere here: https://github.com/ipython/ipython/blob/master/IPython/core/async_helpers.py#L94-L118 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Cannot += the same circuit twice <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.12.0 - **Python version**: 3.7.5 - **Operating system**: macOS Catalina 10.15.2 ### What is the current behavior? The snippet ``` qc = QuantumCircuit(1) qc2 = qc qc2 += qc ``` never terminates. This problem doesn't occur if different circuit instances are added together, only as soon as the same one is added twice the code seems to be stuck. ### Steps to reproduce the problem Run the above code snippet. ### What is the expected behavior? The circuit `qc` should be appended twice to `qc2`. ### Suggested solutions When calling `_append` the circuit data, `rhs.data`, of the added object is appended to self. Since the elements of `rhs.data` are taken via reference and the circuit was added beforehand, not only `self` is extended by the instructions but also `rhs`. This can be fixed by changing ``` for instruction_context in rhs.data: # line 339 ``` to ``` for instruction_context in rhs.data.copy(): ``` I would self-assign to this issue, but I cannot. I'll open a PR for this. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: `cmake_find_package_multi` might need also CMAKE_MODULE_PATH `cmake_flags.py` line 329, add also `CMAKE_MODULE_PATH` when using that generator. Looks like the `find_dependency` needs 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 ipython/ipython codebase. Here's the problem: IPython 3.0 breaks compatibility with emacs-ipython-notebook Some more details in millejoh/emacs-ipython-notebook#4, but essentially emacs-ipython-notebook currently supports the REST protocol described in IPEP 16 and not IPEP 27. My primary concern is in supporting both IPython 2.0 and 3.0 as 3.0 adoption probably won't be instantaneous. Is there a cross-version API for querying the version of IPython notebook? I am probably missing something obvious. Any other suggestions on how to support two different REST APIs (actually three, but I'm not planning on supporting IPython versions earlier than 2.0) in emacs-ipython-notebook greatly welcomed. Also please permit me some old man grumbling for a moment - you guys are going to stick with the API specified in IPEP27 from now on, right? Or at least try in the future to make sure any changes are backwards-compatible? Chasing API's is certainly helping me learn a fair amount about IPython and ein, but it isn't exactly the most productive use of time. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: handle too old wx the wx gui integration does not seem to work with wx 2.6 see this bug: https://bugs.launchpad.net/bugs/998716 the version should be checked and error should be displayed, currently it spams the terminal with exceptions Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Wrong results for GLUE task STS-B ## Environment info - `transformers` version: 4.6.0.dev0 - Platform: Linux-4.13.0-26-generic-x86_64-with-glibc2.10 - Python version: 3.8.8 - PyTorch version (GPU?): 1.8.1 (True) - Tensorflow version (GPU?): not installed (NA) - Using GPU in script?: True - Using distributed or parallel set-up in script?: False ### Who can help @sgugger, @patil-suraj ## Information Model I am using (Bert, XLNet ...): bert-base-cased The problem arises when using: * [ ] the official example scripts: examples/pytorch/text-classification/run_glue.py The tasks I am working on is: * [ ] an official GLUE/SQUaD task: STS-B ## To reproduce export TASK_NAME=stsb python run_glue.py \ --model_name_or_path bert-base-cased \ --task_name $TASK_NAME \ --do_train \ --do_eval \ --max_seq_length 128 \ --per_device_train_batch_size 32 \ --learning_rate 2e-5 \ --num_train_epochs 3 \ --output_dir /tmp/$TASK_NAME/ ## Expected behavior According to README, Person/Spearman corr. should be close to 88.64/88.48 However, I get Person/Spearman corr. equal to 28.36/27.70 The following warning occurs: python3.8/site-packages/torch/nn/modules/loss.py:528: UserWarning: Using a target size (torch.Size([32])) that is different to the input size (torch.Size([32, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.mse_loss(input, target, reduction=self.reduction) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: order not preserved when downloading ORDER BY query results to dataframe with BQ Storage API Since data is downloaded in parallel, order might not be preserved. I believe if you explicitly request only a single stream, order is preserved. (Internal bug 130887748 to confirm this). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Re-generate library using dlp/synth.py This PR was created by autosynth. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: install_subdir should have an option to install contents of the directory ## Feature request It would be nice to have an option to strip subdirectory name and install only its contents. ## Use case Imagine you have a project ``` include/ project/ header.hpp meson.build ``` And you want to install all headers from `include` subdirectory in `meson.build`: ``` install_subdir('include', install_dir : get_option('includedir')) ``` which currently results in `/usr/include/include/project/header.hpp`. This can be of course worked around by not specifying install_dir but this is not reliable if `get_option('includedir') != 'include'`. Another workaround is to put meson.build into include directory but this will require modification of other build systems used for the same project if they simply copy contents of the directory: you don't want to install `meson.build` to `/usr/include`. ## Interface proposal Feature I would expect is something similar to ``` install_subdir('include', install_dir : get_option('includedir'), strip_dirname : true) install_subdir('include', install_dir : get_option('includedir'), install_contents : true) ``` ## Example of similar feature from CMake If you have 2 files: `['foo/a', 'foo/b']` ``` install(DIRECTORY foo DESTINATION bar) # results in ['bar/foo/a', 'bar/foo/b'] install(DIRECTORY foo/ DESTINATION bar) # results in ['bar/a', 'bar/b'] ``` CMake uses trailing `/` to decide if it installs directory itself or its contents. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Align current `BaseJob` API with the specification This is the list of actions needed to align the specification with the current implementation. Method name | Current implementation | Action | ----------- | -----------------------|--------| status | present | done | missing | remove from spec (https://github.com/Qiskit/qiskit-terra/issues/933#issuecomment-424318972) running | missing | remove from spec cancelled | missing | remove from spec job_id | missing | add backend | missing | add cancel | present | result | present | id | present | deprecate backend_name | present | deprecate Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: remote tracebacks broken since 952d0d6 (PR #2223) since 952d0d68d22860bf55fca35c1573a77a4455a7ed PR #2223 broke remote tracebacks: ``` from IPython.parallel import Client c = Client() dv = c[:] dv.execute("from nump import *").get() ``` outputs "No traceback available" instead of the tracebacks this affects HEAD and the 0.13.1 branch Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: --no-color does not disable colors on ERROR and WARNING logs `docker-compose up -d --no-color` still displays ERROR messages with the word "ERROR" in red and the word "WARNING" in yellow. It would also be nice if compose respected the `CLICOLOR=0` env variable as a synonym for `--no-color`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 schedule filtering methods <!-- ⚠ 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? There should exist a set of methods to search through and filter a pulse schedule by certain characteristics such as `channels`, `intervals`, and instruction types and return a new pulse schedule containing only the filtered schedules. Any idea for how this might be implemented is a generic private filter method `schedule._filter(*filter_funcs)` that takes a set of filter functions (its also possible that `_instructions` could be augmented with this capability as well). This method would then traverse the tree of schedules/instructions and only return valid entries. Finally, a public filtering method could be exposed with often used builtins such as `schedule.filter(*filter_funcs, channels=None, instructions=None, Intervals=None)` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: celery worker command option -A is not working with version 5.0.0 Hi, I am running celery worker command as follows:- pipenv run celery worker -A <celery_instance_file> -l info on windows OS. I checked the version of celery module installed in python. It says 5.0.0. #Python interpreter import celery celery.__version__ '5.0.0' So the error is as follows:- Usage: celery worker [OPTIONS] Try 'celery worker --help' for help. Error: no such option: -A I checked the documentation of celery version 5.0.0, and it still has the option -A. https://docs.celeryproject.org/en/latest/reference/cli.html So let me know if this is limitation with windows or if this is a bug. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Error in RAG finetuning script ## Environment info ut the missing fields in that output! --> - `transformers` version: 3.4.0 - Platform: Linux-4.18.0-147.5.1.el8_1.x86_64-x86_64-with-centos-8.1.1911-Core - Python version: 3.6.8 - PyTorch version (GPU?): 1.7.0 (True) - Tensorflow version (GPU?): not installed (NA) - Using GPU in script?: <fill in> - Using distributed or parallel set-up in script?: <fill in> ### Who can help @patrickvonplaten, @lhoestq ## Information I am using RAG fine-tuning script. During the fine-tuning process, it says **torch.nn.modules.module.ModuleAttributeError: 'GenerativeQAModule' object has no attribute 'opt'** The bug exactly appears in [line 332 in finetune.py (https://github.com/huggingface/transformers/blob/master/examples/rag/finetune.py#L332) ## To reproduce I have installed the transformers library from the source. Not the pip. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Notebook tooltip has extra newlines. Make in less useful as it looses precious space with information. Proably due the the mimebundle refactor. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Initialization in text In `evaluate `method from https://github.com/explosion/spacy/blob/master/examples/training/train_textcat.py tp, fp, fn, and tn (true positives etc) are initialized to 1e-8 (see below) ``` tp = 1e-8 # True positives fp = 1e-8 # False positives fn = 1e-8 # False negative tn = 1e-8 # True negatives ``` Why are the values not initlaized to 0? When there are no true positives the precision is 0.5, That doesn't seem right. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: [examples] add desc to `dataset.map` to improve tqdm bars https://github.com/huggingface/datasets/pull/2374 has been merged - we should deploy this feature in our examples, which would tell the user what's being processed and the tqdm bar is for. Currently we get a bunch of bars that are absolutely meaningless and hard to understand what they do. See also: https://github.com/huggingface/datasets/issues/2330 The only issue is how to depend on `datasets` dev version, might have to wait for a new `datasets` release 1.6.3 to be able to merge such PR. A new release should be made in the next few days I'm being told, so a PR can be made. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: [Supervisor] Confusing error message when proc_regex is a string When `proc_regex` option is (wrongly) configured as a string (i.e `proc_regex: 'some-regex'`), the error message is unclear. I was struggling to understand, because when the string was indeed not empty and valid. It should be something like > proc_regex should be a list of strings https://github.com/DataDog/integrations-core/blob/9f39d4d93b3567570f7ac34253d216ff842a152e/supervisord/datadog_checks/supervisord/supervisord.py#L115-L122 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Case insensitivity when exporting package Hi, When I export a package which alredy exists with different large or lower case, my package will assume the other package's name. Due to case-sensitivity issues my package won't be exported with the name I gave it. This is problematic when trying to access it with the name I intended for it. E.g.: **conan serach** gives us a Hello/0.1@demo/testing Trying to **conan export demo2/testing** a package named hello will result in Hello/0.1@demo2/testing being created. The way I understand it this is a windows filesystem problem(case-sensitivity). It would be nice if a warning would be generated, informing the user about case problems when creating 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 conan-io/conan codebase. Here's the problem: Not all API calls are logged in the CONAN_TRACE_FILE Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Return important circuit properties from a QuantumCircuit <!-- ⚠ 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? It is often of interest to compute several properties of a quantum circuit after compiling to a given device. For example, # of gates, # of cx-gates, depth, and # of swap gates added, are all properties of interest. However, only some of these values (# gates, and cx gates) can actually be extracted from the qasm in a qobj, others require going qobj -> circuit -> DAG. Some, like # of swaps added, cannot be gathered from the given information. These values should be reported in the qobj experiment 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 google/jax codebase. Here's the problem: block_until_ready() should return the DeviceArray object It would be nice to have the `block_until_ready()` method return the `DeviceArray` object so that it can be more easily dropped into existing code. So something like ```python a = f() ``` could easily become ```python a = f().block_until_ready() ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: handle ImportError exception when used from projects outside The relative path that starts with . does not work when a file is used from an outside project. I added a safe code to handle the ImportError exception in this case, so I can use the source file without having to make local changes to it. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Add test for conda/install.py imports https://github.com/conda/conda/pull/2526#issuecomment-220751869 Since this type of bug was introduced by at least three people independently, I think it would be good to add a test for this. The test could be something along the lines of: ``` tmp_dir = tempfile.mkdtemp() shutil.copyfile(conda.install.__file__, tmp_dir) sys.path = [tmp_dir] # we also need the standard library here import install ``` Basically, put the `install` module into an empty directory, and test if it can be imported by itself. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [AIRFLOW-1067] rename airflow.com to example.com in examples Dear Airflow maintainers, Please accept this PR. I understand that it will not be reviewed until I have checked off all the steps below! ### JIRA - [x] My PR addresses the following [Airflow JIRA](https://issues.apache.org/jira/browse/AIRFLOW/) issues and references them in the PR title. For example, "[AIRFLOW-XXX] My Airflow PR" - https://issues.apache.org/jira/browse/AIRFLOW-1067 ### Description - [x] Here are some details about my PR, including screenshots of any UI changes: We use `airflow@airflow.com` in examples. However, https://airflow.com is owned by a company named Airflow (selling fans, etc). We should use `airflow@example.com` instead. That domain is created for this purpose. ### Tests - [x] My PR adds the following unit tests __OR__ does not need testing for this extremely good reason: Only text changes. I did `git grep airflow.com` after this change. ### Commits - [x] My commits all reference JIRA issues in their subject lines, and I have squashed multiple commits if they address the same issue. In addition, my commits follow the guidelines from "[How to write a good git commit message](http://chris.beams.io/posts/git-commit/)": 1. Subject is separated from body by a blank line 2. Subject is limited to 50 characters 3. Subject does not end with a period 4. Subject uses the imperative mood ("add", not "adding") 5. Body wraps at 72 characters 6. Body explains "what" and "why", not "how" Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Cannot create a schedule with a parameterized duration <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: commit 3c979ebdacecbbd213757a8149bddc309bfa58c0 - **Python version**: 3.8.5 - **Operating system**: Ubuntu 20.04 ### What is the current behavior? Cannot create a schedule with parameterized durations. ### Steps to reproduce the problem The following fails ```python from qiskit.pulse.transforms import inline_subroutines from qiskit.circuit import Parameter import qiskit.pulse as pulse from qiskit.pulse import Drag, DriveChannel, Gaussian, ControlChannel, GaussianSquare amp_cr = Parameter("amp") amp = Parameter("amp") d0 = DriveChannel(Parameter("ch0")) c1 = ControlChannel(Parameter("ch0.1")) sigma = Parameter("σ") width = Parameter("w") dur1 = Parameter("duration") dur2 = Parameter("duration") with pulse.build(name="xp") as xp: pulse.play(Gaussian(dur1, amp, sigma), d0) with pulse.build(name="cr") as cr: with pulse.align_sequential(): pulse.play(GaussianSquare(dur2, amp_cr, sigma, width), c1) pulse.call(xp) pulse.play(GaussianSquare(dur2, amp_cr, sigma, width), c1) pulse.call(xp) ``` ### What is the expected behavior? The code above should work. ### Suggested solutions Needs to be investigated. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Epoch counting is one-off in multiple instances 🐛 Bug Two issues occur: 1. The final epoch does not save a checkpoint during training. 2. Resuming from a checkpoint N will start the epochs at N+2. ### Expected behavior 1. Final checkpoint should save a .ckpt file, as usual. 2. Should resume from epoch N+1. ### Environment ``` * CUDA: - GPU: - Tesla V100-DGXS-16GB - Tesla V100-DGXS-16GB - Tesla V100-DGXS-16GB - Tesla V100-DGXS-16GB - available: True - version: 10.1 * Packages: - numpy: 1.18.1 - pyTorch_debug: False - pyTorch_version: 1.6.0 - pytorch-lightning: 0.9.0rc12 - tensorboard: 2.2.1 - tqdm: 4.46.1 * System: - OS: Linux - architecture: - 64bit - - processor: x86_64 - python: 3.7.7 - version: #113-Ubuntu SMP Thu Jul 9 23:41:39 UTC 2020 ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Parallel circuit compilation <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? In order to improve compilation times, parallelize circuit compilation would be a great addition. I wanted to open this issue to discuss ideas and ways of implementing it in our current architecture. The goal is to land an implementation for 0.6. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add hook for task logging from function tasks Currently, if a user creates a task via class inheritance, adding additional custom logs is as simple as: ```python class MyTask(Task): def run(self): self.logger.info("My own custom runtime log.") ``` However, if a user creates a task via the `@task` decorator, it's not obvious how to add runtime logs (as `self` isn't readily available). We should: - add a utility - or add the logger to context - or something else to make custom logging easier. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: How do I create a Nearline / DRA bucket in Cloud Storage? Page Name: storage-buckets Release: 0.7.0 http://googlecloudplatform.github.io/gcloud-python/latest/storage-buckets.html#gcloud.storage.bucket.Bucket.create doesn't make this all that clear. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Nox isn't linting tests Our nox configuration is skipping flake8 linting of tests, we should fix that. :) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: lazy pyspark resource Offer a lazy version of the pyspark resource that only initializes the spark session when it's accessed. This is helpful for IO managers that depend on spark, but only use it sometimes. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 on windows does not support Utf-8 BOM on 1.21.2 ## Description of the issue When the encoding of a compose file is UTF-8 BOM docker compose up results in the following error: `ERROR: In file '.\docker-compose.yml', service 'ï»¿version' must be a mapping not a string.` When using version 1.15.0-rc1 the issue does not occur. ``` Output of "docker-compose version" ``` Working version: docker-compose version 1.15.0-rc1, build 2188098f Failing verson: docker-compose version 1.21.2, build a1334711 ``` Output of "docker version" ``` Docker version 17.05.0-ce, build 89658be ``` Output of "docker-compose config" ``` Stored with encoding UTF8 BOM version: "3" services: consul: image: consul:latest networks: - nat networks: nat: external: true ## Steps to reproduce the issue 1. Save the content above in UTF8 BOM 2. docker-compose up ### Observed result ERROR: In file '.\docker-compose.yml', service 'ï»¿version' must be a mapping not a string ### Expected result Creating consul_1 ... done ## Additional information Windows Server 2016. Compose was installed by extracting the executable. I am not using docker toolbox. This issue does not occur on the Linux version of compose Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: key_prefix for AssetsDefinition.from_graph Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Congratulate Ben and Aanand on becoming part of Docker (Mis-using the issue-tracker for this, so feel free to close this) Just read the [official announcement](http://blog.docker.com/2014/07/welcoming-the-orchard-and-fig-team/) that Orchard's founders @bfirsh and @aanand are joining Docker to work on the orchestration part of the Docker ecosystem. I am very excited to see this announcement and wanted to congratulate you on this. Hoping to see even better orchestration with less 'hacking' around missing features upstream. Great news! Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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-logs.txt should contain information about cached dependencies When a dependency is searched for the first time, `meson-logs/meson-log.txt` contains all relevant info, which are the commands run and their result. That's fine. When retrieved from cache on successive runs, it just displays: ``` Dependency libheif found: YES (cached) ``` Even when cached, the logs should contain the cached version, as well as retrieved `--libs` and `--cflags` contents, otherwise there is not much for us to debug if there is a problem. I had this case where I only discovered the wrong dependency was used because I had warnings in our meson file (#6180). Logs should contain more. 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 conan-io/conan codebase. Here's the problem: [feature] Allow users to enable verbose Makefile in CMakeToolchain <!-- What is your suggestion? Please be as specific as possible! --> - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Same feature request than https://github.com/conan-io/conan/issues/9772, but for `CMakeToolchain`. The idea would be to inject `set(CMAKE_VERBOSE_MAKEFILE ON)` in CMakeToolchain if a specific conf is enabled. Maybe a common conf could be shared to enable verbosity to all build systems supporting this kind of feature. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 0.13.1 ignoring $PYTHONSTARTUP IPython is ignoring the `$PYTHONSTARTUP` environment variable. `$HOME/.pythonrc.py`: ``` python print 'hello?' ``` ``` $ PYTHONSTARTUP=$HOME/.pythonrc.py ipython Python 2.7.3 (default, Nov 29 2012, 15:33:55) Type "copyright", "credits" or "license" for more information. IPython 0.13.1 -- An enhanced Interactive Python. ? -> Introduction and overview of IPython's features. %quickref -> Quick reference. help -> Python's own help system. object? -> Details about 'object', use 'object??' for extra details. In [1]: ``` ``` $ PYTHONSTARTUP=$HOME/.pythonrc.py python Python 2.7.3 (default, Nov 29 2012, 15:33:55) [GCC 4.2.1 Compatible Apple Clang 4.1 ((tags/Apple/clang-421.11.66))] on darwin Type "help", "copyright", "credits" or "license" for more information. hello? >>> ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Use MSVC preview versions To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. I've tried to use MSVC 2017 Preview, but conan could not detect it successfully. According to [win.py file](https://github.com/conan-io/conan/blob/cf2c3bd2081f4915ee7992e5f85100ee14afe403/conans/client/tools/win.py#L124), vswhere needs prerelease variable True in order to give find preview versions. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [CamemBert] Tokenizer function add_tokens doesn't work ## ❓ Questions & Help Hi, I am trying to add new tokens to the CamemBert tokenizer, but when I run the function tokenizer.add_tokens, it doesn't seem to add any token at all : `from transformers import CamembertTokenizer` `tokenizer = CamembertTokenizer.from_pretrained('camembert-base')` `tokenizer.add_tokens(['notfrenchword'])` `Out[12]: 0` Whereas with Bert model it works perfectly. Is this a bug or am I doing something wrong ? 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 conan-io/conan codebase. Here's the problem: [ux] Make the error on incorrect command input more helpful Example ``` $ conan remoe 'remoe' is not a Conan command. See 'conan --help' The most similar commands are remove remote ERROR: Unknown command 'remoe' ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 POST with Translate API I try to translate a piece of text that's more than 2000 characters. The limit of a GET request to the translate API is 2000 characters. So my idea was to POST instead of GET, but that does not seem to be configurable, see https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/translate/google/cloud/translate_v2/client.py#L234 . Is it possible to use POST with Translate? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Sharing Microsoft's DialogRPT (new dialog ranking model) # 🌟 New model addition ## Model description Thanks for the awesome work! [DialogRPT](https://github.com/golsun/DialogRPT) (Dialog Ranking Pretrained Transformers) is a set of GPT-2 based dialogue ranking models recently released with an [EMNLP paper](https://arxiv.org/abs/2009.06978) by Microsoft Research. It's a follow-up work of [DialoGPT](https://huggingface.co/transformers/model_doc/dialogpt.html) (thanks for hosting it!) The architecture is pretty simple: a `GPT2Model` followed by a `torch.nn.Linear(n_embd, 1, bias=False)`, and implemented based on a [previous HuggingFace commit](https://github.com/huggingface/transformers/commit/4d456542e9d381090f9a00b2bcc5a4cb07f6f3f7) At first, I'm trying to create a model card for it, but then realized that it seems there's no existing model architecture in HuggingFace is compatible with DialogRPT. I noticed a lot of BERT-based sequence classification models, but ours is GPT-2 based. If there's a simple fix (or I missed something) please let me know! If implementation in modeling_gpt2.py is necessary, I'm also glad to help! ## Open source status * [x] the model implementation is available: (https://github.com/golsun/DialogRPT) * [x] the model weights are available: (https://github.com/golsun/DialogRPT) * [x] who are the authors: @golsun @dreasysnail Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Update requests dependency A few days ago *requests* 2.13 has been released. Unfortunately, *docker-compose* still enforces *requests* `< 2.12`: `'requests >= 2.6.1, != 2.11.0, < 2.12',` Is there a reason for this? Changes are [mostly bugfixes](https://github.com/kennethreitz/requests/blob/master/HISTORY.rst). It seems like some [distributions already ship](https://git.archlinux.org/svntogit/community.git/tree/trunk/PKGBUILD?h=packages/docker-compose) `docker-compose` with newer versions of `requests` without any issues. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Adding Pix2Struct to transformers ### Model description Image-to-Text encoder decoder presented in: https://arxiv.org/abs/2210.03347 It is in spirit similar to the [Donut](https://huggingface.co/docs/transformers/model_doc/donut) model that has been added to transformers not so long ago, but it has outperformed it on pretty much all benchmarks (thanks to different pre-training and slightly different encoders and decoders, more weights). ### Open source status - [X] The model implementation is available - [X] The model weights are available ### Provide useful links for the implementation Github repo: https://github.com/google-research/pix2struct Pretrained checkpoints are available on the repo, along with the code to fine-tune the model. The only thing is that everything is in Jax, so might take a while to convert Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Add support for volume declaration in compose file Using the volume API added in Docker 1.9 (recently implemented support in docker-py, see https://github.com/docker/docker-py/pull/764) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Allow dryRun for jobs/queries Not sure how to best do this; but would be great with the ability to trigger dryRuns of jobs to get an idea of the amount of data it will consume and validate the query. https://cloud.google.com/bigquery/docs/reference/v2/jobs#configuration.dryRun ... essentially it could be just a parameter on the job like for example write_disposition; however it might make more sense to do one of: a) Add a bool param on the job "begin" method to allow dry-runs b) Add a dry_run method that mimics begin but does a dry-run Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Gdbus unit tests do not pass on 0.48 rc ``` ====================================================================== FAIL: test_introspect_dependencies (__main__.LinuxlikeTests) ---------------------------------------------------------------------- Traceback (most recent call last): File "./run_unittests.py", line 3797, in test_introspect_dependencies self.assertEqual(t['filename'], 'gdbus/generated-gdbus-doc-' + ifile) AssertionError: 'gdbus/generated-gdbus-doc-com.example.Sample.xml' != 'gdbus/generated-gdbus-doc-gdbus/data/com.example.Sample.xml' - gdbus/generated-gdbus-doc-com.example.Sample.xml + gdbus/generated-gdbus-doc-gdbus/data/com.example.Sample.xml ? +++++++++++ ``` This is a release blocker. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 editing of other file types in notebook using CodeMirror Currently, the notebook dashboard only shows the notebooks in the given project directory. It shoud show all text based files (.rb, .txt, .py, .csv, etc.) and allow the other files to be editing and saved using CodeMirror as well. This will make the notebook a more general development tool. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: 21be99e (remove load_connection_file from consoleapp) breaks Spyder Found with git bisect: 21be99e4f4dc9502454556e4df862ba3cca71c5c When trying to open an embedded IPython console, Spyder produces an `Unsigned message` error. The error message is: ``` [IPKernelApp] ERROR | Invalid Message Traceback (most recent call last): File "/home/zah/sourcecode/ipython/IPython/kernel/zmq/ipkernel.py", line 212, in dispatch_shell msg = self.session.unserialize(msg, content=True, copy=False) File "/home/zah/sourcecode/ipython/IPython/kernel/zmq/session.py", line 799, in unserialize raise ValueError("Unsigned Message") ValueError: Unsigned Message [IPKernelApp] ERROR | Invalid Message Traceback (most recent call last): File "/home/zah/sourcecode/ipython/IPython/kernel/zmq/ipkernel.py", line 212, in dispatch_shell msg = self.session.unserialize(msg, content=True, copy=False) File "/home/zah/sourcecode/ipython/IPython/kernel/zmq/session.py", line 799, in unserialize raise ValueError("Unsigned Message") ValueError: Unsigned Message ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: GIT does not work with beam search ### System Info - `transformers` version: 4.26.0.dev0 - Platform: Linux-5.4.143.bsk.7-amd64-x86_64-with-glibc2.31 - Python version: 3.9.2 - Huggingface_hub version: 0.11.1 - PyTorch version (GPU?): 1.13.1 (True) - Tensorflow version (GPU?): not installed (NA) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: YES - Using distributed or parallel set-up in script?: NO ### Who can help? @gante @ArthurZucker @younesbelkada ### Information - [ ] The official example scripts - [X] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction Take the script from official doc (https://huggingface.co/docs/transformers/main/model_doc/git#transformers.GitForCausalLM) Add `num_beams=3`. Git model will report error. ```python from transformers import AutoProcessor, AutoModelForCausalLM import requests from PIL import Image processor = AutoProcessor.from_pretrained("microsoft/git-base-coco") model = AutoModelForCausalLM.from_pretrained("microsoft/git-base-coco") url = "http://images.cocodataset.org/val2017/000000039769.jpg" image = Image.open(requests.get(url, stream=True).raw) pixel_values = processor(images=image, return_tensors="pt").pixel_values generated_ids = model.generate(pixel_values=pixel_values, max_length=50, num_beams=3) generated_caption = processor.batch_decode(generated_ids, skip_special_tokens=True)[0] print(generated_caption) ``` ### Expected behavior GIT model should work with beam search. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: No option to specify a custom nullMarker while using table.upload_from_file method We have source data where Null values are represented by \N. However, we're unable to use table.upload_from_file method as there is no parameter to specify a custom null marker(configuration.load.nullMarker). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: build in parallel Is it possible to build multiple services in a docker-compose file in parallel? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Better error messaging when graphviz is not present _For reference, this was originally posted by @jaygambetta in https://github.com/Qiskit/qiskit-terra/issues/2281#issuecomment-489417445_ > @ajavadia and @mtreinish it has been lost where to find how to add this dependencies outside pip. It is in the doc for the function https://github.com/Qiskit/qiskit-terra/blob/master/qiskit/visualization/dag_visualization.py but I think we need to make this clearer in the documentation in the Qiskit repo. > > I would split this into two issues -- > 1. In terra add better error messaging. If you call drag_drawer and you don't have graphviz give that this dependency needs to be installed on your system. > 2. in qiskit add a documentation on how to setup the dag drawer for different operating systems. This is issue is about the first item. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: %run does not work with import hooks Hi, I ran into an issue where the use of `imp` vs `__import__` matters. `imp` is bypassing some things that import statements do, such as calling custom [import hooks](https://docs.python.org/3/reference/import.html#import-hooks). Is there are reason `imp` is being used? If not, can this be updated to use `__import__`? As a note, this comes up when using `%run -m foo`. 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 Qiskit/qiskit codebase. Here's the problem: Deepcopy usage causes 3x performance regression <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: Any - **Operating system**: Any ### What is the current behavior? In #1816 we redefined the instruction class so it didn't carry the qargs and cargs internally. However, this change broke how we were doing dag->circuit and circuit->dag in `qiskit.converters.dag_to_circuit()` and `qiskit.converters.circuit_to_dag()` respectively. In that PR the previous method which just created a duplicate object for the input instruction was removed and replaced by a call to copy.deepcopy(). This ends up significantly hurting performance in certain cases and continuous benchmarking is showing a 3x performance regression on simulator transpiler benchmarks in: https://github.com/Qiskit/qiskit/tree/master/test/benchmarks ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Remove the deep copy usage Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Cannot resolve parent container IP address - with depends_on in config I've an issue with the latest rc2 release and the depends_on feature. My config looks like this: [docker-compose.yml](https://github.com/docker/compose/files/113802/docker-compose.yml.txt) Getting error: > front.example.org | Message from VCC-compiler: > front.example.org | Backend host '"www.development.example.org"' could not be resolved to an IP address: > front.example.org | Name or service not known So apparently the front.development.example.org container starts before it's able to resolve the host www.development.example.org to an IP address. (I've attempted to manually sleep for two secs before starting front main application, and then it works fine.) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: (TF) model.generate to tf.function for tf serving ### Feature request It would be nice if you wrapped the generate method of autorregressive models into a `tf.function`. That way we could export and serve it with all the Tensorflow production stack. Its kinda a revival of #5443. It would enable us to do something like: ```python from transformers import AutoTokenizer, TFAutoModelForCausalLM import tensorflow as tf model = TFAutoModelForCausalLM.from_pretrained("gpt2") model.save( "some_place", signatures={ "serving_default": model.generate.get_concrete_function(tf.TensorSpec([None, None], tf.int32)) } ) ``` And then serve it on TF production stack. ### Motivation It would be nice if you wrapped the generate method of autorregressive models into a `tf.function`. That way we could export and serve it with all the Tensorflow production stack. It is frustrating to have to write generate by hand or move to PyTorch to serve generative language models. ### Your contribution I could write a PR, thou it would be nice if HF could share what they have done when trying it, as @Rocketknight1 and @patrickvonplaten said in : https://github.com/huggingface/transformers/issues/5443#issuecomment-1020067525_ , so I would have somewhere to go from. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: No parameter available to specify a jobId to Table.upload_from_file() There is no way to send a `jobId` to the `upload_from_file` function. My motivation is that I've had issues with uploading the same file twice, duplicating data in the target table. A suggested solution was to specify my own `jobId` as a hash of the file contents. That way, duplicate uploads would be rejected as having the same `jobId`. Without modifying the library, there is no ability to do this. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add CLI flags for all Fargate Agent keyword arguments As another interface for setting the various config settings. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: DatabricksRunNowOperator missing jar_params as a kwarg <!-- Welcome to Apache Airflow! For a smooth issue process, try to answer the following questions. Don't worry if they're not all applicable; just try to include what you can :-) If you need to include code snippets or logs, please put them in fenced code blocks. If they're super-long, please use the details tag like <details><summary>super-long log</summary> lots of stuff </details> Please delete these comment blocks before submitting the issue. --> **Description** DatabricksRunNowOperator is missing the option to take in key word arguement _jar_params_ , it already can take the other ones notebook_params,python_params,spark_submit_params. https://docs.databricks.com/dev-tools/api/latest/jobs.html#run-now **Use case / motivation** Provide parity with the other options Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: BartTokenizer add_tokens feature. Hi @LysandreJik , I am working on audio captioning, and the ground truth captions are tokenized using the BartTokenizer. I have observed that some of the words in the captions are not tokenized correctly. For instance, the word 'rumbling'. There is no such word in the tokenizer, and its tokenizing is ['Ġr', 'umbling']. I have tried to add the tokens(the word 'Ġrumbling')and change the model token embeddings. But instead of tokenizing the word correctly, it is still tokenizing as ['Ġr', 'umbling']. Did I miss anything here? I have also faced the same issues with the some other words too! Here is my code! ``` tokenizer = AutoTokenizer.from_pretrained("facebook/bart-base", use_fast=True) tokenizer.add_tokens(['Ġrumbling']) model = BartForConditionalGeneration.from_pretrained("facebook/bart-base") model.resize_token_embeddings(len(tokenizer)) print(tokenizer.is_fast) ou_e = 'the rain falls down while someone is pounding a car passes by and the thunder is rumbling' tok_e = tokenizer(ou_e, max_length=64, return_tensors='pt', padding='max_length') seq = tokenizer.tokenize(ou_e) print(seq) summary_ids = model.generate(tok_e['input_ids'], num_beams=4, min_length=5, max_length=100) summary = tokenizer.batch_decode(summary_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False) print(summary) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: mpl circuit drawer does not scale properly The `scale` kwarg to `circuit.draw()` does not work well for the mpl drawer, because it does not scale the text font size. ```python from qiskit import QuantumCircuit from qiskit.quantum_info.random import random_unitary circuit = QuantumCircuit(5) for _ in range(8): circuit.unitary(random_unitary(2**5), circuit.qubits) circuit.draw('mpl') ``` Default scaling is fine: ![image](https://user-images.githubusercontent.com/8622381/79672133-5c809280-819d-11ea-9ac5-6278a5dfca91.png) Scale up: ```python circuit.draw('mpl', scale=2) ``` ![image](https://user-images.githubusercontent.com/8622381/79672142-6f936280-819d-11ea-8bdb-0135034eab28.png) Scale down: ```python circuit.draw('mpl', scale=0.3) ``` ![image](https://user-images.githubusercontent.com/8622381/79672155-7f12ab80-819d-11ea-8da2-d6fe74ef29c1.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: Notebook should be saved before downloading If a user works in a new notebook and clicks 'Download' without first having saved anything, they get an empty notebook. We should either prompt to save, or automatically produce a save action, since otherwise it's pretty confusing. Reported by @jdh2358. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: vocab["-0.23"].like_num is False Pretty straight forward, it seems like negative numbers are currently not flagged as numbers in the Lexeme object. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: find alternative to gfile ## 🚀 Feature at this moment we are using GFile for saving checkpoints which are imported from tensorboard which underhood uses TF core... ### Motivation remove the hard dependency on tensorboard as it seems tidy linked to TensorFlow and for visualization user can install it independently ### Pitch Avoid tensorboard limitations Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add IAM support to APIs which support it (copied from https://github.com/GoogleCloudPlatform/gcloud-node/issues/1192, which is funnily-enough exactly true for `gcloud-python`, too). [IAM](https://cloud.google.com/iam/docs) is currently buried inside of our Pub/Sub code, but should be abstracted to be used with any API that supports it: - [ ] BigQuery - [ ] [Compute](https://cloud.google.com/compute/docs/access/iam) - [ ] [Logging](https://cloud.google.com/logging/docs/access-control) - [ ] [Pub/Sub](https://cloud.google.com/pubsub/access_control) - [ ] [Resource Manager](https://cloud.google.com/resource-manager/docs/access-control-proj) - [ ] [Storage](https://cloud.google.com/storage/docs/iam) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Performance regression with two-step transpilation #7217 ### What is the expected enhancement? #7217 causes significant performance regression on VQE. We should fix the performance regression. ```python from timeit import timeit from qiskit import Aer from qiskit.algorithms import VQE from qiskit.algorithms.optimizers import COBYLA from qiskit.circuit.library import RealAmplitudes from qiskit.opflow import PauliSumOp from qiskit.utils import QuantumInstance quantum_instance = QuantumInstance(backend=Aer.get_backend('aer_simulator'), shots=1) vqe = VQE(ansatz=RealAmplitudes(), optimizer=COBYLA(maxiter=1), quantum_instance=quantum_instance) op = PauliSumOp.from_list([("ZZ"*5, 1), ("IX"*5, 2)]) print(f'{timeit(lambda: vqe.compute_minimum_eigenvalue(op), number=10)} sec') ``` fe0abaa7 ``` 1.525182469 sec ``` 01967546 ``` 3.796546701 sec ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Nbconvert [windows]: Inconsistent line endings in markdown cells exported to latex I'm getting what looks like inconsistent line endings in the output of markdown cells, which is causing latex to complain about runaway arguments and paragraphs ending early. The exact error is: ``` ! Paragraph ended before \ttl@straight@i was complete ``` And looking at the offending line in the `.tex` file (in emacs): ``` \subsection{ Text that doesn't have line breaks in it in the markdown cell^M^M but does seem to have two CRLF's (judging by the ^M's), and a LF here.} ``` Taking the `^M`'s out will allow pdflatex to produce the output, but there are still ^M's scattered throughout the document. As a guess it's that [Pandoc explicitly expects UTF-8](http://johnmacfarlane.net/pandoc/README.html#using-pandoc), and somehow the subprocess is piping in CP-850 or similar windows encoding and pandoc is outputting some combination of the two line endings. I've tried to recreate the issue just with Pandoc, inputting various encoding schemes but I couldn't recreate it. Alternatively, it may be the utf-8 encoding casting that occurs in `IPython/nbconvert/utils/pandoc.py` which is adding LF but not removing the CRLFs ( but I'm still not sure why there are any line breaks as the original cell doesn't have them). Sys info. ``` {'codename': 'An Afternoon Hack', 'commit_hash': '02da31c', 'commit_source': 'installation', 'default_encoding': 'cp850', 'ipython_path': 'C:\\Python27\\lib\\site-packages\\IPython', 'ipython_version': '1.0.0', 'os_name': 'nt', 'platform': 'Windows-7-6.1.7601-SP1', 'sys_executable': 'C:\\Python27\\python.exe', 'sys_platform': 'win32', 'sys_version': '2.7.3 |EPD_free 7.3-2 (32-bit)| (default, Apr 12 2012, 14:30:3 ) [MSC v.1500 32 bit (Intel)]'} ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Bigtable: createTable should allow creation of column families Table.create() should allow the user to create column families when the table itself is created. Users should be able to supply a Column Family Id => GcRule policy mapping to accomplish this feature. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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's configuration context is not initialized in conda.exports root cause of https://github.com/conda-forge/conda-smithy/issues/762 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: f2py fails to generate Fortran modules on Numpy 1.16.0 <!-- Please describe the issue in detail here, and fill in the fields below --> On Numpy 1.16.0, `f2py` fails to generate Fortran modules: ``` error: f2py target file '/tmp/tmpnke02j8i/src.linux-x86_64-3.6/test_f2py.c' not generated ``` Tested on Ubuntu 1.16 and macOS 1.14.2 both with Python 3.6. This appears to be a new bug as there are no issue with Numpy 1.15.4 or lower. ### Reproducing code example: Create `test_f2py.f90` and `test_f2py.py` and add the following lines: - `test_f2py.f90` ``` program test_f2py end program test_f2py ``` - `test_f2py.py` ``` import numpy.f2py as f2py with open('test_f2py.f90', 'rb') as fid: source = fid.read() f2py.compile(source , modulename='test_f2py', extension='.f90') ``` Run `test_f2py.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 jupyterlab/jupyterlab codebase. Here's the problem: Bring back the labhub entry point <!-- Welcome! Before creating a new issue: * Search for relevant issues * Follow the issue reporting guidelines: https://jupyterlab.readthedocs.io/en/latest/getting_started/issue.html --> ## Description We previously had this interface in 1.0. We removed it in https://github.com/jupyterlab/jupyterlab/pull/7724. However, based on the feedback from https://github.com/jupyterlab/jupyterlab/pull/8356 and @athornton on [gitter](https://gitter.im/jupyterlab/jupyterlab?at=5f171e82a15ff42fa8e1da20), we need to bring this back in order to pass settings to the lab app. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Adding a -q option to conan upload would help Hello, I'm using Conan 1.0.4 I use the `conan remove -q` option a lot, and I would like to have the same feature when uploading packages. There is the `-p` option, but specifying every package ID is tedious, to say the least. It there any blocking issue preventing the same option for `conan upload`? To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Local docker images should be available as base images for environments Currently, it appears that building an image locally and specifying that as a base image for Docker-based environments does not work (it attempts to pull from remote registries). We should find a way to fix this. **cc:** @joshmeek Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `ccx` and `cswap` should allow different size controls and targets <!-- ⚠ 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 cswap and ccx gates check that the size of ctrl and tgt are the same (if passed as list). This is not necessary, since we could broadcast a control to multiple targets or vice versa (as a shorthand). For example: ```python qr1 = QuantumRegister(2) qr2 = QuantumRegister(2) qr3 = QuantumRegister(1) circuit.ccx(qr1, qr2, qr3) ``` ``` qr1[0]----.----------- | qr1[1]-----------.---- | | qr2[0]----.----------- | | qr2[1]-----------.---- | | qr3[0]----X------X---- ``` CX already allows one control to many targets. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add a two-step tapering option ### What should we add? Currently, the :meth:`taper` of the z2symmetry class does the following (I only kept the relevant parts) ``` def taper(self, operator: PauliSumOp) -> OperatorBase: # STEP 1 Change basis if not operator.is_zero(): for clifford in self.cliffords: operator = cast(PauliSumOp, clifford @ operator @ clifford) operator = operator.reduce(atol=0) # STEP 2 Reduce the operator if self._tapering_values is None: tapered_ops_list = [ self._taper(operator, list(coeff)) for coeff in itertools.product([1, -1], repeat=len(self._sq_list)) ] tapered_ops: OperatorBase = ListOp(tapered_ops_list) else: tapered_ops = self._taper(operator, self._tapering_values) return tapered_ops ``` For the QEOM algorithm in qiskit-nature, we encounter the problem of tapering products of operators. In that case, the first step is multiplicative while the second step is not : STEP1(A @ B) = STEP1(A) @ STEP1(B) but STEP2(A @ B) != STEP2(A) @ STEP2(B). This multiplicativity reduces the resource requirement of the first step. I propose the addition of two additional methods :meth:`convert_clifford` and :meth:`taper_clifford` corresponding to step 1/2 respectively, to allow a more efficient management of the tapering of products. Overall, this would also contribute to making the tapering more understandable. I know that the future of the z2symmetries has some uncertainties so this is more of a quick, short term possible improvement. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: setting default_channels from CLI raises NotImplementedError Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: bad example for `np.linalg.solve` with all respect, I think the example given in https://github.com/numpy/numpy/blob/92ebe1e9a6aeb47a881a1226b08218175776f9ea/numpy/linalg/linalg.py#L365 is the particularly unsuitable one. Since the coefficient matrix here is symmetric, novice user cannot immediately understand from this example, whether coefficient matrix should be given in row-first order or column-first order. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: test.python.quantum_info.test_states.TestStates.test_random_state fails by returning nan <!-- ⚠ 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**: master - **Python version**: any - **Operating system**: any ### What is the current behavior? Occasionally in CI we're encountering failures caused by `test.python.quantum_info.test_states.TestStates.test_random_state` generating `nan` instead of a value converged to `1/8`. For example see: https://ci.appveyor.com/project/QISKit/qiskit-sdk-py/builds/20165445/job/r5t0rtgv445hcuqt#L927 ``` test.python.quantum_info.test_states.TestStates.test_random_state ----------------------------------------------------------------- Captured traceback: ~~~~~~~~~~~~~~~~~~~ b'Traceback (most recent call last):' b' File "C:\\projects\\qiskit-sdk-py\\test\\python\\quantum_info\\test_states.py", line 90, in test_random_state' b' self.assertAlmostEqual(E_P0, 1/8, places=2)' b' File "C:\\Python35\\lib\\unittest\\case.py", line 877, in assertAlmostEqual' b' raise self.failureException(msg)' b'AssertionError: nan != 0.125 within 2 places' b'' ====== ``` ### Steps to reproduce the problem It's occurring in CI occasionally, see the referenced failures. ### What is the expected behavior? The test passes 100% of the time. ### Suggested solutions Figure out the source of the failure (likely something with calling randint in the test) and fix it so that it always passes. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Resnet weights should not be downloaded when building DETR by from_pretrained ## Describe the bug Hello, the building process of DETR in transformers uses timm to construct a resnet backbone. ``` backbone = create_model(name, pretrained=True, features_only=True, out_indices=(1, 2, 3, 4), **kwargs) ``` However, `pretrained=True` should only be enabled when building an initial DETR. When building DETR with `from_pretrained`, the pretrained weights of Resnet are redundant. If there is a lack of internet connection or a poor network environment, this can cause the code to get stuck even if the model is building from local files. ## 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: 4.15.0 - Platform: Linux-5.11.0-46-generic-x86_64-with-glibc2.17 - Python version: 3.8.10 - PyTorch version (GPU?): 1.8.2 (True) - Tensorflow version (GPU?): not installed (NA) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: no - Using distributed or parallel set-up in script?: no Models: DETR Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Workspaces importer and exporter should be able to set the workspace name Currently the workspaces importer checks that the workspace name is valid, and this check is pretty strict. In a JupyterHub environment this means that the workspace id must include the jupyterhub user name, which automatically makes workspace files less portable between different users. This makes distribution of workspaces more challenging for administrators. For an example, see this binder start script: https://github.com/dask/dask-examples/blob/0c39b1c6348e118594397e8b61eec594ef011db1/binder/start#L6 It would be nice if the importer and exporter could take a `--name` argument that automatically overwrote the workspace id with the correct one (e.g., `user/${USER_NAME}/${WORKSPACE_NAME}`). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [cmake helper] CONAN_CPU_COUNT is not respected with the ninja generator Conan Version: 1.18.4 I just upgraded some of our projects to build with ninja by setting CONAN_CMAKE_GENERATOR=Ninja. While everything still works, this change caused quite a high load on the CI runner that I was not really expecting. In particular, it seems like the cmake helper is ignoring the configured CONAN_CPU_COUNT value when the ninja generator is used. See: https://github.com/conan-io/conan/blob/0882a2a8c85b848b277aa45893576a45e208e27e/conans/client/build/cmake.py#L238 I would expect that also the ninja generator adheres to the specified cpu count. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Add link to C file in Cython failures and -a for annotated html In the cython magic extension, it would be nice to return a link to the generated C file that can be opened in the browser as well as supporting the `-a` flag to produce annotated HTML. The annotation flag can be activated by setting ``` Cython.Compiler.Options.annotate = True ``` These two simple enhancements would make debugging and optimization of Cython code much more user friendly. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Scope variables do not accept a value containing a ':' Hi, I modified the Boost package recipe so that I can specify an alternate url for downloading the source zip file. I used a scope variable for this purpose. However it seems that conan does not allow scope variables to contain a ':'. When issuing this command: conan install Boost/1.61.0@epr-eliaskousk/stable --build -s os=Windows -s arch=x86_64 -s compiler="Visual Studio" -s compiler.version=14 -s compiler.runtime=MDd -s build_type=Debug -sc ALL:source_url=http://sourceforge.net/projects/boost/files/boost Here is the error message I get: ERROR: Bad scope ALL:source_url=http://sourceforge.net/projects/boost/files/boost I suppose there is an issue because the parsing treats the ':' as a special separator?... Would it be possible to fix this or is it supposed to be like that? (I can workaround the issue by replacing the character ':' in my string value by yet-another special character) 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: Docu broken If i try to click on "Source Code" link @ https://googlecloudplatform.github.io/gcloud-python/#/docs/master/gcloud/datastore/client/client?method=gcloud.datastore.client.Client.put_multi i get a 404. 404: Link: https://github.com/GoogleCloudPlatform/gcloud-python/blob/master/.tox/json-docs/lib/python2.7/site-packages/gcloud/datastore/client.py#L331 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Move Connection._create_scoped_credentials into __init__ of base class Right now all 3 packages call it from their constructor ``` bash $ git log -1 --pretty=%H baf58f2e00507dd6ed15971716fd6579c43dfa10 $ git grep -B 1 create_scoped_credentials gcloud/connection.py- @staticmethod gcloud/connection.py: def _create_scoped_credentials(credentials, scope): -- gcloud/datastore/connection.py- def __init__(self, credentials=None, http=None, api_base_url=None): gcloud/datastore/connection.py: credentials = self._create_scoped_credentials(credentials, SCOPE) -- gcloud/pubsub/connection.py- def __init__(self, credentials=None, http=None): gcloud/pubsub/connection.py: credentials = self._create_scoped_credentials(credentials, SCOPE) -- gcloud/storage/connection.py- def __init__(self, credentials=None, http=None): gcloud/storage/connection.py: credentials = self._create_scoped_credentials(credentials, SCOPE) ``` We may as well just have `gcloud.connection.Connection.__init__` call it and use `cls.SCOPE`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Graphormer multi label classification label input format ### System Info NA ### Who can help? @clefourrier Kindly share the input format for multi label classification specially on the label side. ### 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 NA ### Expected behavior NA Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Inefficient allocation of ancilla qubits in PiecewiseLinearRotation and PolynomialLinearRotation <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? In PiecewiseLinearRotation, only `num_state_qubits - 1 + 1` ancillas are ever used at the same time (instead of `num_ancillas = num_state_qubits - 1 + len(self.breakpoints)`). For each breakpoint, the exact same ancillas could be reused, instead of changing each time which ancilla are used (by using the i_compare index) (or another way to say it.: everything would work the same if i_compare was fixed to 0 all the time). In PolynomialPauliRotation, only `max(1, min(degree - 1, num_state_qubits - 2))` are needed, instead of `num_ancillas = max(1, self.degree - 1)`. (Because where the ancillas are used, l.341, 343 and 345, we have that `len(rotation_coeffs[c]) <= min(degree + 1, num_state_qubits))` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: conditional wires in text circuit drawer should be classical wires Currently: ``` from qiskit import * qr = QuantumRegister(2, 'qr') cr = ClassicalRegister(1, 'cr') circuit = QuantumCircuit(qr, cr) circuit.measure(qr[0], cr[0]) circuit.h(qr[0]).c_if(cr, 1) print(circuit) ``` ``` ┌─┐ ┌───┐ qr_0: ┤M├─┤ H ├─ └╥┘ └─┬─┘ qr_1: ─╫────┼─── ║ ┌──┴──┐ cr: 1/═╩═╡ = 1 ╞ 0 └─────┘ ``` Expected output: ``` ┌─┐ ┌───┐ qr_0: ┤M├─┤ H ├─ └╥┘ └─╥─┘ qr_1: ─╫────╫─── ║ ┌──╨──┐ cr: 1/═╩═╡ = 1 ╞ 0 └─────┘ ``` Can you help me debug this systematically and explain your reasoning?