[System] You are an expert software 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: [Examples] The UNet model has some bugs <!-- ### Common bugs: 1. Tensorboard not showing in Jupyter-notebook see [issue 79](https://github.com/PyTorchLightning/pytorch-lightning/issues/79). 2. PyTorch 1.1.0 vs 1.2.0 support [see FAQ](https://github.com/PyTorchLightning/pytorch-lightning#faq) --> ## 🐛 Bug <!-- A clear and concise description of what the bug is. --> The UNet model definition has some bugs pertaining to bilinear interpolation. #### Code sample <!-- Ideally attach a minimal code sample to reproduce the decried issue. Minimal means having the shortest code but still preserving the bug. --> 1. https://github.com/PyTorchLightning/pytorch-lightning/blob/2950f669834506f8e5845b318b0f25d52d19e331/pl_examples/models/unet.py#L35-L37 In the code above, there seems to be a typo. The `bilinear` flag should be passed to the function `Up()`. It has instead been passed to the `.append()` method of the list. 2. https://github.com/PyTorchLightning/pytorch-lightning/blob/2950f669834506f8e5845b318b0f25d52d19e331/pl_examples/models/unet.py#L101-L104 The number of channels once the input passes through either one of these layers is different. For "bilinear", the number of channels remains the same, whereas they decrease to half if a `ConvTranspose2d` is used. This gives an error in the network's `.forward()` method. I wanted to directly use the model for some other application, but not sure how issue 2 should be solved. Maybe use a 1x1 convolution to reduce the channels to half? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ld: fatal: unrecognized option '--as-needed' on Solaris I'm using Meson 0.51 installed via pip. I followed the [Tutorial](https://mesonbuild.com/Tutorial.html). ``` $ cat meson.build project('tutorial', 'c') executable('demo', 'main.c') ``` ``` $ cat main.c #include<stdio.h> int main(int argc, char **argv) { printf("Hello there.\n"); return 0; } ``` ``` $ CC="gcc-6" meson builddir The Meson build system Version: 0.51.0 Source dir: /export/home/vedranm/workspace/demo Build dir: /export/home/vedranm/workspace/demo/builddir Build type: native build Project name: tutorial Project version: undefined C compiler for the build machine: gcc-6 (gcc 6.5.0 "gcc-6 (OpenIndiana 6.5.0-OI-1) 6.5.0") C compiler for the host machine: gcc-6 (gcc 6.5.0 "gcc-6 (OpenIndiana 6.5.0-OI-1) 6.5.0") WARNING: Unknown CPU family 'i86pc', please report this at https://github.com/mesonbuild/meson/issues/new with theoutput of `uname -a` and `cat /proc/cpuinfo` Build machine cpu family: i86pc Build machine cpu: i86pc Build targets in project: 1 Found ninja-1.8.2 at /usr/bin/ninja ``` ``` $ cd builddir/ $ ninja [2/2] Linking target demo. FAILED: demo gcc-6 -o demo 'demo@exe/main.c.o' -Wl,--no-undefined -Wl,--as-needed ld: fatal: unrecognized option '--as-needed' ld: fatal: use the -z help option for usage information collect2: error: ld returned 1 exit status ninja: build stopped: subcommand failed. ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: np.savetxt bug on structured array <!-- Please describe the issue in detail here, and fill in the fields below --> Saving numpy array subsampled by multi-field indexing fails. ### Reproducing code example: <!-- A short code example that reproduces the problem/missing feature. It should be self-contained, i.e., possible to run as-is via 'python myproblem.py' --> ```python import numpy as np x = np.array([(1,2,3),(4,5,6)], dtype=[('foo', 'i8'), ('bar', 'f4'), ('yee', 'f4')]) np.savetxt('out.txt', x[['foo', 'yee']]) ``` <!-- Remove these sections for a feature request --> ### Error message: TypeError: Mismatch between array dtype ('{'names':['foo','yee'], 'formats':['<i8','<f4'], 'offsets':[0,12], 'itemsize':16}') and format specifier ('%.18e %.18e %.18e') <!-- If you are reporting a segfault please include a GDB traceback, which you can generate by following https://github.com/numpy/numpy/blob/master/doc/source/dev/development_environment.rst#debugging --> <!-- Full error message, if any (starting from line Traceback: ...) --> ### Numpy/Python version information: ('1.16.2', '2.7.16 |Anaconda, Inc.| (default, Mar 14 2019, 21:00:58) \n[GCC 7.3.0]') <!-- Output from 'import sys, numpy; print(numpy.__version__, sys.version)' --> Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Perform evaluation on HANS with Trainer (like GLUE example) Current [HANS](https://github.com/huggingface/transformers/tree/master/examples/adversarial) evaluation implementation is carried out in the old way. It'd be good to do it in the same manner as other examples are implemented now with the Trainer class. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Flax port vision Transformer to flax Port the existing vision-transformer to flax. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Add callback method for on_save_checkpoint ## 🚀 Feature We should allow Callback objects to optionally persist state that can be reloaded from checkpoints. ### Motivation We already manually save the state for early stopping and model checkpoint callbacks. This refactor would eliminate callback-specific code in the Trainer and extend the ability to user-written callbacks. ### Pitch This callback would just return a state_dict which the Trainer could store. The only thing that I am unclear how we should handle is for other callbacks how we want to reinitialize the state. If we can expect that the same exact callbacks will be passed to the Trainer then it should be trivial. Or we could expect that you only pass in a single instance of each callback class (eg. callbacks=[CustomerLogger(), EarlyStopping(), ModelCheckpoint()] and not callbacks=[CustomerLogger(params_a), CustomerLogger(params_b), EarlyStopping(), ModelCheckpoint()] and just keep a mapping of callback class to state dicts. However, if the user passed multiple callback instances of the same class I'm not sure how we would want to handle that. I would recommend that we document the following constraints: - All objects in the dictionary must be pickle-able. - You cannot persist multiple instances of the same callback class. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: SabreLayout does not terminate in some cases ### Environment Qiskit version: master Python version: 3.8.8 OS: Mac OS 12.2 ### What is happening? SabreSwap gets stuck in some specific cases and does not make forward progress. ### How can we reproduce the issue? here's an example that runs indefinitely for me. Note that even though I run SabreLayout, internally it is calling SabreSwap and that's where it gets stuck. ```py from qiskit.circuit.library import QuantumVolume from qiskit.transpiler import PassManager, CouplingMap from qiskit.transpiler.passes import SabreLayout n = 30 coupling_map = CouplingMap.from_line(n) basis_gates=['cx', 'u'] qv = QuantumVolume(n, seed=983).decompose() pm = PassManager(SabreLayout(coupling_map, seed=1)) pm.run(qv) ``` ### What should happen? map the circuit and terminate ### Any suggestions? I think the SabreSwap algorithm has a way to score different swap options and to make forward progress, so not sure what's going on. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Permissions not preserved when uploading tar files The execute bit is not preserved when uploading the conan_export.tgz and conan_package.tgz. This makes it very difficult to use libraries which ship binaries used for configuration (e.g., llvm-config), since the execute bit will not be set. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Please cut a release of Cloud Asset Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `random_circuit` does not include mid-circuit measurements ### What should we add? `qiskit.circuit.utils.random_circuit` has a keyword argument `measure=False` that allows opt-in inclusion of an end-of-circuit measurement of all qubits: https://github.com/Qiskit/qiskit-terra/blob/ad7e609d10b02fd98090b0fac132113f329825b6/qiskit/circuit/random/utils.py#L50 It would be good to also be able to generalize this to be able to generate circuits which can additionally (and optionally) make of use mid-circuit measurement. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: jit inside while_loop causes an error I'll help generate a repro tomorrow. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Cloud Spanner Client should prevent nested transactions Cloud Spanner does not support [nested transactions](https://en.wikipedia.org/wiki/Nested_transaction). But the client library does allow users to call `database.run_in_transaction` inside of the callback that is provided to an outer `database.run_in_transaction`. This is misleading since users might believe that this will behave like a nested transaction but in reality these will be two independent transactions. This is confusing and a source of bugs. Specifically the inner transaction might succeed while the outer might ABORT, in which case the callback will be rerun thus rerunning the inner transaction. We should prevent this from happening by detecting and raising an error if someone calls `database.run_in_transaction` inside the callback provided to `database.run_in_transaction`. Note that this needs to be done before Beta since this is a known breaking change. Also note that if we come across a use case where we do want to allow calling a nested `database.run_in_transaction`, we should be able to enable that in future without making a breaking change. cc @jgeewax @bjwatson Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: No module named sphinx.util.compat error using `IPython.sphinxext` with Sphinx pre1.7 master branch Trying out `IPython.sphinxext` 6.1.0 with ``Sphinx==1.7.dev20170617`` I get the following error on a Sphinx project: ``` Extension error: Could not import extension IPython.sphinxext.ipython_directive (exception: No module named 'sphinx.util.compat') ``` Indeed, the `sphinx.util.compat` is deprecated at 1.6 and will be [removed at Sphinx 1.7](https://github.com/sphinx-doc/sphinx/blob/3d5e0c5d7/CHANGES#L45). To reproduce, in a virtual env with IPython 6.1.0 run pip install git+https://github.com/sphinx-doc/sphinx and then ``` mkdir /tmp/IPython-test cd /tmp/IPython-test yes "n" | sphinx-quickstart --dot _ --project IPython-test --author "Example" -v 0 --release 0 --language en --suffix .rst --master index --makefile --batchfile . echo ' extensions = [ "IPython.sphinxext.ipython_directive", ] ' >> conf.py make html ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Loading from checkpoint without skipping requires the same number of GPUs ## 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: 4.12.5 - Platform: Linux-4.4.0-210-generic-x86_64-with-glibc2.10 - Python version: 3.8.8 - PyTorch version (GPU?): 1.9.0a0+2ecb2c7 (True) - Tensorflow version (GPU?): not installed (NA) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed When changing the number of GPUs available, the trainer fails to load from the checkpoint that was trained with a different number of GPUs checkpoint. Note that this does not happen when the flag ignore_data_skip is used. The "per_device_train_batch_size" remains unchanged between runs. I use Trainer API The error looks like this: File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1298, in train self._load_rng_state(resume_from_checkpoint) File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1529, in _load_rng_state torch.cuda.random.set_rng_state_all(checkpoint_rng_state["cuda"]) File "/opt/conda/lib/python3.8/site-packages/torch/cuda/random.py", line 73, in set_rng_state_all set_rng_state(state, i) File "/opt/conda/lib/python3.8/site-packages/torch/cuda/random.py", line 64, in set_rng_state _lazy_call(cb) File "/opt/conda/lib/python3.8/site-packages/torch/cuda/__init__.py", line 114, in _lazy_call callable() File "/opt/conda/lib/python3.8/site-packages/torch/cuda/random.py", line 61, in cb default_generator = torch.cuda.default_generators[idx] IndexError: tuple index out of range Thank you Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: dependencies: Undefined variable 'required' ``` python def get_variable(self, variable_name): p = subprocess.Popen([self.pkgbin, '--variable=%s' % variable_name, self.name], stdout=subprocess.PIPE, stderr=subprocess.PIPE) out = p.communicate()[0] if p.returncode != 0: if required: raise DependencyException('%s dependency %s not found.' % (type_string, self.name)) else: variable = out.decode().strip() mlog.debug('return of subprocess : %s' % variable) return variable ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 link-local IPs Engine issue: https://github.com/docker/docker/pull/23415 ~~Depends on: https://github.com/docker/docker-py/issues/1107~~ https://github.com/docker/docker-py/commit/986a14a152d20df6bb8622516ab2d18af73e5e20 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Add m2m 100 multilingual translation model from FAIR Weights, code are available. + Fairseq Code: https://github.com/pytorch/fairseq/tree/master/examples/m2m_100?fbclid=IwAR304kICXsffdDMogK4MWf4D7Xeu_3Cbmgu8pBCU_jKcjijCuJfLK7CY9_I + Paper: https://arxiv.org/abs/2010.11125 + This model will not run on 1 V100 GPU, so model parallelism will be needed. + I would expect the state dict to be very similar to mBART, but not sure yet. + All I've done is download the state dict, run their command, and asked for help https://github.com/pytorch/fairseq/issues/2772#issuecomment-716152453 when it broke. Leaving this unassigned in case somebody else wants to take over. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Unable to use print_stats after %prun -r in notebook This applies to the notebook, I haven't tried this in plain ipython or the console: If I get a `pstats.Stats` object using `%prun -r` nothing shows up when I call `print_stats`. However, if I save to a file using `%prun -D` and then load the file using `pstats.Stats` calling `print_stats` works perfectly. I'm using a fresh install of IPython 0.13. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: update pretty to use Python 3 style for sets In Python 3, `repr(set([1,2,3]))` is `{1,2,3}`, but pretty currently forces the output to be `set([1,2,3])`. We should probably use the set-literal format on Python 3, or just use it all the 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 dagster-io/dagster codebase. Here's the problem: Ensure the dev_env_setup.sh and installation guides reflect new module structures Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the gitpython-developers/GitPython codebase. Here's the problem: Raising of GitCommandError fails in archive function if stdout was a cStringIO object I tried to check out an archive for a not existing path from the repository and I expect a GitCommandError exception. I got following TypeError exception: "Expected bytes or text, but got <cStringIO.StringO object at 0x7fabac6f97a0>" I did following: fpt = StringIO() -- (used as a temporary storage for the tar archive) self._repository.archive(fpt, treeish=version_identifier, format="tar", path=sub_path) -- (where sub_path points to an not existing path) The cause of the problem was, the Constructor of the GitCommandError could not handle the cStringIO object. (a normal file pointer may be faulty too). I suppose it should set its stdout variable to None in case of not handled types. Or it should be adjusted when raising the exception. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Make optional outputs opt-in Right now outputs are implicitly optional. That means if a user specifies multiple outputs and forgets to output it, it just continues execution and logs the fact that all outputs were not specific. This is really error prone and shouldn't be the default behavior. Instead we could make optionality an optional configuration option of an OutputDefinition. Right now where this condition is detected is simple_engine.py:82 ```py step_context.log.info( ( 'Not all inputs covered for {step}. Not executing. Output need for ' 'inputs {expected_outputs}' ).format(expected_outputs=expected_outputs, step=step.key) ) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Propagate arch argument to vcvars in MSBuild helper Coming from https://github.com/conan-io/conan-center-index/pull/719#discussion_r390337460 There is an arch override parameter in ``MSBuild.build()`` method, however, this is not propagated to the ``vcvars_command`` inside that same method. So the override in some cases is useless. I think the arch argument should be propagated to the vcvars as well. Related to #6428 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: rpath order of two subprojects is not deterministic This is related to issue #3922. In the attached testcase meson sometimes uses '-Wl,-rpath,$$ORIGIN/subprojects/sub1:$$ORIGIN/subprojects/sub2' and sometimes '-Wl,-rpath,$$ORIGIN/subprojects/sub2:$$ORIGIN/subprojects/sub1' [meson-test.zip](https://github.com/mesonbuild/meson/files/2217864/meson-test.zip) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Redis Client Reference Docs 404 Link from [Redis README](https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/redis/README.rst) to API client reference documentation (https://googlecloudplatform.github.io/google-cloud-python/stable/redis/usage.html) does not resolve (404). Redis Client Reference Docs 404 Link from [Redis README](https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/redis/README.rst) to API client reference documentation (https://googlecloudplatform.github.io/google-cloud-python/stable/redis/usage.html) does not resolve (404). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [example scripts] inconsistency around eval vs val * `val` == validation set (split) * `eval` == evaluation (mode) those two are orthogonal to each other - one is a split, another is a model's run mode. the trainer args and the scripts are inconsistent around when it's `val` and when it's `eval` in variable names and metrics. examples: * `eval_dataset` but `--validation_file` * `eval_*` metrics key for validation dataset - why the prediction is then `test_*` metric keys? * `data_args.max_val_samples` vs `eval_dataset` in the same line the 3 parallels: - `train` is easy - it's both the process and the split - `prediction` is almost never used in the scripts it's all `test` - var names and metrics and cl args - `eval` vs `val` vs `validation` is very inconsistent. when writing tests I'm never sure whether I'm looking up `eval_*` or `val_*` key. And one could run evaluation on the test dataset. Perhaps asking a question would help and then a consistent answer is obvious: Are metrics reporting stats on a split or a mode? A. split - rename all metrics keys to be `train|val|test` B. mode - rename all metrics keys to be `train|eval|predict` Thank you. @sgugger, @patil-suraj, @patrickvonplaten Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: pi_check cannot handle large values <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: 3.7 - **Operating system**: ### What is the current behavior? When we bind a large value to a custom gate, the value appears as `-pi/0` in the drawer output. ### Steps to reproduce the problem ```python from qiskit.circuit import QuantumCircuit, Gate def my_gate(*args): return Gate('my_gate', num_qubits=1, params=list(args)) qc = QuantumCircuit(1) qc.append(my_gate(1e9), [0]) qc.draw() ``` output ``` ┌────────────────┐ q_0: ┤ my_gate(-pi/0) ├ └────────────────┘ ``` ### What is the expected behavior? The value will be shown in scientific notation such as `%.2e`. This is important to represent a custom pulse gate which has a parametrized modulation frequency. ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] conan 2 list subcommands: -r and -c are not mutually exclusive In develop2 branch, in conan/cli/commands/list.py: ```py def _add_remotes_and_cache_options(subparser): remotes_group = subparser.add_mutually_exclusive_group() remotes_group.add_argument("-r", "--remote", default=None, action=Extender, help="Remote names. Accepts wildcards") subparser.add_argument("-c", "--cache", action='store_true', help="Search in the local cache") ``` Shouldn't the last line be remotes_group.add_argument instead? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the kubeflow/pipelines codebase. Here's the problem: Text/link displayed after calling run_pipeline should be "Run link" not "Job link" Here: https://github.com/kubeflow/pipelines/blob/master/sdk/python/kfp/_client.py#L153 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: [Firestore] Add ARRAY_UNION, ARRAY_REMOVE ARRAY_CONTAINS FieldValues There is no support for FieldValue.arrayUnion()/FieldValue.arrayRemove() and no support for array-contains Queries. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: cookiecutter template for adding flax model # 🚀 Feature request Add cookiecutter template for adding flax model. ## Motivation There is no cookiecutter template for adding flax model. ## Your contribution I am trying to add a flax model (#12411), I think it's a good opportunity to create a template at the same time. Can I work on this? Any suggestions? @patil-suraj @patrickvonplaten Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: [trainer] multi-node tweaks As I'm using Trainer in a multi-node setup, I will use this issue to post the things that could be improved for that type of env. 1. Repeated logging for non-rank-0 process rank-0 machine: I gathered all these that get repeated 16 times on a 16 nodes machine: ``` [INFO|trainer.py:1145] 2021-05-20 20:16:39,037 >> ***** Running training ***** [INFO|trainer.py:1146] 2021-05-20 20:16:39,037 >> Num examples = 1000 [INFO|trainer.py:1147] 2021-05-20 20:16:39,037 >> Num Epochs = 1 [INFO|trainer.py:1148] 2021-05-20 20:16:39,037 >> Instantaneous batch size per device = 4 [INFO|trainer.py:1149] 2021-05-20 20:16:39,037 >> Total train batch size (w. parallel, distributed & accumulation) = 256 [INFO|trainer.py:1150] 2021-05-20 20:16:39,037 >> Gradient Accumulation steps = 1 [INFO|trainer.py:1151] 2021-05-20 20:16:39,037 >> Total optimization steps = 4 100%|██████████| 4/4 [00:02<00:00, 1.95it/s][INFO|trainer.py:1341] 2021-05-20 20:16:41,214 >> {'train_runtime': 2.185, 'train_samples_per_second': 1.831, 'epoch': 1.0} Training completed. Do not forget to share your model on huggingface.co/models =) INFO:__main__:*** Evaluate *** [INFO|trainer.py:2115] 2021-05-20 20:16:41,690 >> ***** Running Evaluation ***** [INFO|trainer.py:2117] 2021-05-20 20:16:41,690 >> Num examples = 200 [INFO|trainer.py:2120] 2021-05-20 20:16:41,690 >> Batch size = 4 ``` Probably should check not only rank of the process, but also the rank of the machine, right? @sgugger Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: `FutureWarning` issued by `scikit-learn` in `opflow` <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.18+ - **Python version**: any - **Operating system**: any ### What is the current behavior? With the new(ish) `scikit-learn` version 1.0, there is a `FutureWarning` issued when using the `normalize` parameter of `LinearModel`, which `opflow` does when calculating gradients. This doesn't fail our tests (though perhaps it should), because `FutureWarning` doesn't count as a type of `DeprecationWarning`. ### Steps to reproduce the problem Run the test suite, especially `test.python.opflow.test_gradients.TestGradients.test_natural_gradient`. ### What is the expected behavior? No future warning. ### Suggested solutions Fix `opflow` to handle fitting with `StandardScaler` rather than the now-deprecated `normalize` parameter. This has existed for several minor releases of `scikit-learn`, so should be safe for us to do. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: pip is installing incompatible versions Current minimal example: ``` conda create -n break python=3.6 -y source activate break cd prefect/ # navigate to repo directory pip install . ``` and you'll see: ``` ... requests 2.20.1 has requirement idna<2.8,>=2.5, but you'll have idna 2.8 which is incompatible. ... ``` because apparently [pip doesn't have a dependency resolver](https://github.com/pypa/pip/issues/988). Moreover, because each CLI command runs through requirement dependency checks (can we turn this off?), our docker containers / installs are broken. `idna 2.8` was released [4 hours ago](https://pypi.org/project/idna/#history) as of this writing. **Possible fixes**: - We _could_ fix this immediately by including `idna<2.8` in our `requirements`, but this feels like a can of worms --> we shouldn't have to be responsible for dependencies that we don't explicitly rely on and this won't prevent it from happening again in the future - we could create `environment.yml` files and start using `conda` (which _does_ have a dependency resolver), but this creates some additional burden on us to: 1. we'd need to install miniconda in our docker containers and 2. we'd need some additional testing to make sure our `environment.yml` files stay up to date (integration tests could handle this piece well actually) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Big query TIMESTAMP field off by factor of 1000 Using master branch. In BigQuery TIMESTAMP fields are off by a factor of 1000 when using fetch_data. See my in-line comment - https://github.com/GoogleCloudPlatform/gcloud-python/commit/41e64395661a31af8352fb2358e5c95ff5437830#diff-c56e349a3e511bfabb4e8dfcfe686bc8R739 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Ability to silence a cell in the notebook There are some functions in scipy that do not provide a way to silence them and they always pollute stdout with useless information. Usually I would just redirect `sys.stdout`, however this causes the notebook to hang. Can a magic `%noprint` be provided in order to silence the stdout? Or another option will be to have `toggle stdout` next to `toggle output` in the cell menu? What can be used as a workaround? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: \001 and \002 non-printable characters in docstrings can't be processed by latex Hello, While attempting to build the doc (`cd docs && make pdf`), the special characters at https://github.com/ipython/ipython/blob/e6432249582e05f438303ce73d082a0351bb383e/IPython/utils/coloransi.py#L77 cause the following error: ``` [...] [649] [650] [651] [652] [653] LaTeX Warning: Hyper reference `api/generated/IPython.testing.tools:IPython.testing.tools.AssertPrints' on page 654 undefined on input line 77077. [654] [655] [656] LaTeX Warning: Hyper reference `api/generated/IPython.utils.colorable:IPython.utils.colorable.Colorable' on page 657 undefined on input line 77444. [657] [658] ! Text line contains an invalid character. l.77706 This class is similar to TermColors, but the escapes are wrapped in ^^A ? ! Emergency stop. l.77706 This class is similar to TermColors, but the escapes are wrapped in ^^A ``` I tried editing them out of the coloransi.py source, but they remained in the sphinx-generated `ipython.tex` and still cause problems, so I'm a bit lost. 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: A hundred or more pulse doc warnings being raised This are getting raised about a hundred or more times in the docs build: ``` <partial node>:: WARNING: toctree contains reference to document 'stubs/qiskit.pulse.pulse_lib.discrete' that doesn't have a title: no link will be generated <partial node>:: WARNING: toctree contains reference to document 'stubs/qiskit.pulse.channels' that doesn't have a title: no link will be generated ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Avoid saving tied weights with sharded checkpoints It seems that when sharding a checkpoint we untie weights which makes them take more space ```python import torch from transformers import GPT2LMHeadModel, GPT2Config config = GPT2Config() model = GPT2LMHeadModel(config) assert id(model.transformer.wte.weight) == id(model.lm_head.weight) model.save_pretrained("gpt2-tied-weights") config.tie_word_embeddings = False model = GPT2LMHeadModel(config) assert id(model.transformer.wte.weight) != id(model.lm_head.weight) model.save_pretrained("gpt2-untied-weights") config = GPT2Config() model = GPT2LMHeadModel(config) assert id(model.transformer.wte.weight) == id(model.lm_head.weight) model.save_pretrained("gpt2-tied-weights-sharded", max_shard_size="100MB") config.tie_word_embeddings = False model = GPT2LMHeadModel(config) assert id(model.transformer.wte.weight) != id(model.lm_head.weight) model.save_pretrained("gpt2-untied-weights-sharded", max_shard_size="100MB") ``` When checking the space taken by these checkpoints: ``` $ du -sh gpt2* 475M gpt2-tied-weights 622M gpt2-tied-weights-sharded # MUST BE 475M 622M gpt2-untied-weights 622M gpt2-untied-weights-sharded ``` cc @ArthurZucker @thomasw21 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: test failure in arg_split on windows arg_split has a failing test on windows. ``` ERROR: Ensure that argument lines are correctly split like in a shell. ---------------------------------------------------------------------- Traceback (most recent call last): File "C:\python\ipydevel\VENV\py27\lib\site-packages\nose\case.py", line 197, in runTest self.test(*self.arg) File "C:\python\ipydevel\VENV\py27\lib\site-packages\ipython-0.13.dev-py2.7.egg\IPython\testing\decorators.py", line 228, in skipper_func return f(*args, **kwargs) File "C:\python\ipydevel\VENV\py27\lib\site-packages\ipython-0.13.dev-py2.7.egg\IPython\utils\tests\test_process.py",line 90, in test_arg_split_win32 nt.assert_equal(arg_split(argstr), argv) File "C:\python\ipydevel\VENV\py27\lib\site-packages\ipython-0.13.dev-py2.7.egg\IPython\utils\_process_win32.py", line 181, in arg_split result = [arg for arg in result_array_type.from_address(result_pointer)] TypeError: integer expected ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: tools.collect_libs() doesn't respect self.cpp_info.libdirs Fedora is putting 64bit libraries in `lib64/` not in `lib/`. The collect_libs tool should look out for an existing `lib64` directory to collect all libs. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Testing with asset partition ranges ### What's the use case? Currently we can test a software defined asset that makes use of partition ranges, by creating an op context: `context = dagster.build_op_context(partition_key="2023-01-05")` And then we can do `time_window = context.asset_partitions_time_window_for_output()` and it will work for the single day (because we can derive a time window from the key). However, there are some issues: - `asset_partitions_time_window_for_output()` is marked as deprecated on `OpExecutionContext` (but not `AssetExecutionContext`) - possibly related to https://github.com/dagster-io/dagster/issues/14871 and a missing `build_asset_context` function? - testing like this does not work with `context.partition_time_window` (` AttributeError: 'BoundOpExecutionContext' object has no attribute '_step_execution_context'. Did you mean: 'get_step_execution_context'?`) - Most importantly, we cannot test multiple days with this approach ### Ideas of implementation Being able to specify a date/time range in the `build_op_context` would be ideal. This might even need to be part of the upcoming `build_asset_context` (see https://github.com/dagster-io/dagster/issues/14871 again). ### Additional information _No response_ ### Message from the maintainers Impacted by this issue? Give it a 👍! We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: update --all broken in 4.4.0rc In 4.4.0rc an `update --all` wants to *remove* 90% of my packages. IMO an update should never remove any packages so the current behaviour seems pretty broken to me. ``` λ conda update --all Solving environment: done ## Package Plan ## environment location: C:\Miniconda3 The following packages will be downloaded: package | build ---------------------------|----------------- openssl-1.0.2m | vc14_0 5.4 MB conda-forge The following packages will be REMOVED: _license: 1.1-py36_1 altair: 1.2.1-py_0 conda-forge anaconda-client: 1.6.5-py36hd36550c_0 https://repo.continuum.io/pkgs/main anaconda-navigator: 1.6.9-py36hc720852_0 https://repo.continuum.io/pkgs/main anaconda-project: 0.8.2-py36_0 conda-forge astroid: 1.5.3-py36h9d85297_0 https://repo.continuum.io/pkgs/main astropy: 2.0.2-py36h06391c4_4 https://repo.continuum.io/pkgs/main <snip> ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: gnome.generate_gir() should accept multiple libraries From `g-ir-scanner --help`: ``` -l LIBRARIES, --library=LIBRARIES libraries of this unit ``` Harfbuzz relies on this feature: https://github.com/harfbuzz/harfbuzz/blob/master/src/Makefile.am#L434-L437 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Better information on mismatch in dependency tree using conan v1.6.1 Consider following scenario: Monday: binary foo depends on potato and carrot in both versions 1.0.0 carrot depends on potato in version 1.0.0 potato does not depends on anything. All compiles fine. Tuesday: updating dependency in foo to potato 2.0.0 This leads to error like this: ``` Packages carrot/1.0.0@user/testing:1edc358bbd62390e309c027c1fcc23c7feea92d7 - Missing potato/2.0.0@user/testing:de9c231f84c85def9df09875e1785a1319fa8cb6 - Cache potato/2.0.0@user/testing: Already installed! carrot/1.0.0@user/testing: WARN: Can't find a 'carrot/1.0.0@user/testing' package for the specified options and settings: - Settings: arch=x86_64, build_type=Release, compiler=gcc, compiler.libcxx=libstdc++, compiler.version=4.8, os=Linux - Options: - Package ID: ... ERROR: Missing prebuilt package for 'carrot/1.0.0@user/testing' Try to build it from sources with "--build carrot" Or read "http://docs.conan.io/en/latest/faq/troubleshooting.html#error-missing-prebuilt-package" ``` Nowhere it hints to user that it is simply the issue of the carrot depending on the potato 1.0.0. One has to dig deeper by for example conan info to compare all the flags and the dependencies to find the issue. Maybe it would be possible for conan to compare the settings in the prebuilt ones, and get closest match, and inform why exactly that dependency cannot work? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Upgrade `pytest` We recently learned that the way Prefect uses `pytest` (specifically, some methods we call on markers in `conftest.py`) is incompatible with recent changes in `pytest >= 4.0`. Just to keep things up-to-date, we should investigate this and bump / adjust `pytest` accordingly in `dev-requirements.txt` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Aer CI failing due to error in BaseJob documentation. <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: 3.7 - **Operating system**: ### What is the current behavior? CI test are failing in Aer due sphinx errors in the inherited doc string from `BaseJob` in #3731 Since doc build warnings aren't treated as fatal in Terra this can lead to problems in other repos (like Aer) which have stricter CI checks on documentation. This will be an issue for any classes that are intended to be subclassed (ie BaseJob, BaseBackend, BaseProvider). ### Steps to reproduce the problem Run CI on qiskit-aer. Azure doc build fails with: ``` Warning, treated as error: /home/vsts/work/1/s/.tox/docs/lib/python3.7/site-packages/qiskit/providers/basejob.py:docstring of qiskit.providers.aer.AerJob.wait_for_final_state:7:Unexpected indentation. ERROR: InvocationError for command /home/vsts/work/1/s/.tox/docs/bin/sphinx-build -W -b html docs/ docs/_build/html -j auto (exited with code 2) ___________________________________ summary ____________________________________ ERROR: docs: commands failed ``` ### What is the expected behavior? No error. ### Suggested solutions Fix the doc string that is raising a warning. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: make test fails locally <!--- Provide a general summary of the issue in the Title above --> `make test` fails locally, possibly due to the configuration of hubs in the Qconfig. This has not been an issue with travis and submitted PRs. ## Steps to Reproduce (for bugs) <!--- Provide a link to a live example, or an unambiguous set of steps to --> <!--- reproduce this bug. Include code to reproduce, if relevant --> `python -m unittest -v test.python.test_api_ibmq.TestApiHub` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Backend based primitives are not serializable via dill ### Environment - **Qiskit Terra version**: 0.22 - **Python version**: 3.7 - **Operating system**: Any ### What is happening? Backend based primitives can't be saved via dill. Reference primitives can be loaded/saved. `QuantumInstance` is also serializable. This issue comes from Qiskit Machine Learning where quantum models can be saved to a file, then loaded to continue training or for inference on a real hardware. ### How can we reproduce the issue? Run a script ```python import dill from qiskit import Aer from qiskit.primitives import BackendSampler sampler = BackendSampler(Aer.get_backend("aer_simulator")) with open("sampler.dill", "wb") as f: dill.dump(sampler, f) with open("sampler.dill", "rb") as f: sampler = dill.load(f) ``` ### What should happen? An exception is raised: ``` python __dill_primitives.py Traceback (most recent call last): File "__dill_primitives.py", line 10, in <module> sampler = dill.load(f) File ".../envs/dev-qml/lib/site-packages/dill/_dill.py", line 313, in load return Unpickler(file, ignore=ignore, **kwds).load() File ".../envs/dev-qml/lib/site-packages/dill/_dill.py", line 525, in load obj = StockUnpickler.load(self) TypeError: __new__() missing 1 required positional argument: 'backend' ``` ### Any suggestions? No exceptions must be raised. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Exception when running demo.initialize() ``` File ".../env/local/lib/python2.7/site-packages/gcloud/datastore/demo/__init__.py", line 26, in initialize datastore.set_default_dataset_id(DATASET_ID) AttributeError: 'module' object has no attribute 'set_default_dataset_id' ``` When running with: ``` GCLOUD_TESTS_PROJECT_ID=X \ GCLOUD_TESTS_DATASET_ID=X \ GOOGLE_APPLICATION_CREDENTIALS=foobar.json \ python -m gcloud.datastore.demo ``` on version 0.7.0 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Adding batch image processing to Vision API The amount of data that Vision can return can be pretty deep and processing more than one image at a time adds another level to that. Here's my proposed approach to work with multiple images with multiple feature types. ```python >>> images = client.batch() >>> for i in range(10): ... images.add_image(client.image(source_uri='gs://%s.jpg' % (i,))) >>> images.detect_faces() {'0.jpg': [], '1.jpg': [],} >>> >>> # With multiple feature types. >>> features = [Feature(FeatureTypes.FACE_DETECTION, 5), ... Feature(FeatureTypes.LOGO_DETECTION, 3)] >>> for i in range(10): ... image = client.image(source_uri='gs://%s.jpg' % (i,)) ... images.add_image(image=image, features=features) >>> images.detect() ``` With a context manager it could look something like this... ```python >>> features = [Feature(FeatureTypes.FACE_DETECTION, 5), ... Feature(FeatureTypes.LOGO_DETECTION, 3)] >>> with client.images() as images: ... for i in range(10): ... image = client.image(source_uri='gs://%s.jpg' % (i,)) ... images.add_image(image=image, features=features) ... results = images.detect() ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: non-interactive transformers-cli upload? # 🚀 Feature request Currently, `transformers-cli upload` works only interactively due to its prompt: `Proceed? [Y/n]` After running the updated model conversion, I would like to be able to do: ``` cd data transformers-cli upload fsmt-wmt19-ru-en transformers-cli upload fsmt-wmt19-en-ru transformers-cli upload fsmt-wmt19-de-en transformers-cli upload fsmt-wmt19-en-de cd - ``` But this won't work: Would it be possible to add a `-y` override? Alternatively, would it be possible to give it all dirs to upload in one command? ``` transformers-cli upload fsmt-wmt19-ru-en fsmt-wmt19-en-ru fsmt-wmt19-de-en fsmt-wmt19-en-de ``` ## Motivation I have been re-uploading 4 x 1.1GB models on a relatively slow connection, and I have to be around to hit Y for each one of them, which is very counter-productive, as I have to go back and re-check whether each upload has been completed. I can probably code some shell expect script to feed it automatically, but this defeats the purpose. Thank you! Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Allow setting port for postgres instance in `prefect server start` ## Use Case It's likely that there's already a postgres instance running on the default port. `prefect server start` should include an option for setting the port of its Postgres instance. ## Solution `prefect server start --postgres-port=5433` Investigate non-deterministic Python 3.6 scheduled parameter test failure https://circleci.com/gh/PrefectHQ/prefect/60188?utm_campaign=vcs-integration-link&utm_medium=referral&utm_source=github-checks-link ``` =================================== FAILURES =================================== _______ TestFlowRunMethod.test_flow_dot_run_passes_scheduled_parameters ________ self = <tests.core.test_flow.TestFlowRunMethod object at 0x7f97b853d8d0> def test_flow_dot_run_passes_scheduled_parameters(self): a = prefect.schedules.clocks.DatesClock( [pendulum.now("UTC").add(seconds=0.1)], parameter_defaults=dict(x=1) ) b = prefect.schedules.clocks.DatesClock( [pendulum.now("UTC").add(seconds=0.25)], parameter_defaults=dict(x=2) ) x = prefect.Parameter("x", default=None, required=False) outputs = [] @prefect.task def whats_the_param(x): outputs.append(x) with Flow("test", schedule=prefect.schedules.Schedule(clocks=[a, b])) as f: whats_the_param(x) f.run() > assert outputs == [1, 2] E assert [1] == [1, 2] E Right contains one more item: 2 E Full diff: E - [1] E + [1, 2] tests/core/test_flow.py:1620: AssertionError ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: NotebookProgressCallback doesn't work in databricks notebooks properly--should either be fixed or removed from trainer automatically if it is a databricks runtime https://github.com/huggingface/transformers/blob/71e602725b90f63f404109bae9f72cbdf755477b/src/transformers/utils/notebook.py#L269 Hey all, Using databricks for training, the default Trainer behavior will automatically add NotebookProgressCallback for databricks notebooks, but the databricks UI currently does not display the output properly. It just prints a bunch of text saying `<IPython.core.display.HTML object>` over and over. This is likely an issue on Databricks' end, so I recommend not adding this callback if the transformers library can detect it is a databricks runtime not a jupyter/google collab notebook. I think there should also be an easier way to delete specific callbacks--it took a long time to trace this issue and reading source code to figure out what the source cause is. I am circumventing the issue for now by popping the callback from the trainer callback handlers list but that is not a good pattern. Thanks! Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: TensorBoardLogger and ModelCheckpoint are not using the same folder by default ## 🐛 Bug (master branch) By default, the TensorBoardLogger writes logs into `lightning_logs/0` but ModelCheckpoint writes checkpoint into `lightning_logs/version_0`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Firestore: docs mentioning 'firestore.collection_group' are incorrect. #### Environment details # OS type and version Mac OSX 10.14.5 # Python version and virtual environment information: python 3.7.3 #google-cloud-<service> version: google-api-core 1.12.0 pypi_0 pypi google-auth 1.6.3 pypi_0 pypi google-cloud-core 1.0.2 pypi_0 pypi google-cloud-firestore 1.2.0 pypi_0 pypi googleapis-common-protos 1.6.0 #### Steps to reproduce 1. Created a collection with documents and sub-collections 2. Created a composite index for collection group queries 3. Cannot figure out how to do a collection group query that returns any results #### Code example ```python from google.cloud import firestore query = firestore.collection_group('mygroup') #directly from your docs ``` #### Stack trace ``` AttributeError: module 'google.cloud.firestore' has no attribute 'collection_group' ``` 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: Small typo on real_amplitudes.py ### Environment - **Qiskit Terra version**: 0.43.1 (Qiskit version) - **Python version**: 3.10 - **Operating system**: MacOs Big Sur ### What is happening? Docstring of class in [real_amplitudes.py](https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/circuit/library/n_local/real_amplitudes.py) has repeated word "of" > ... The circuit consists of of alternating layers ... ### How can we reproduce the issue? NA. Docstring ### What should happen? Should erase one of the words "of" ### Any suggestions? _No response_ Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: conan download "-p" deprecation The same with `get` and `upload`, deprecate the `-p` in favor of full ref. Deprecate the '-p' argument in the 'download' and 'copy' cli As it is in `conan get...` and soon in `conan upload...`(#5224), it makes sense to deprecate the `-p` argument for `conan download...` and `conan copy...` too. ---- It still appears in the `conan remove...` but with an slightly different meaning 😞 ``` parser.add_argument('-p', '--packages', nargs="*", action=Extender, help="Select package to remove specifying the package ID") ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 env export error with setup.py develop packages conda 4.3.23, Anaconda 4.4.0 Environment export fails if there is a comma in the file path for the package. These paths are valid on Windows. See attached dump. [conda_export_error.txt](https://github.com/conda/conda/files/1208700/conda_export_error.txt) Fix is to change line 95 in ..\conda_env\pip_util.py to only split on the first comma: version, path = version.split(', ', 1) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Allow versioning to include git information if not using released version <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? Currently there is no way to distinguish between the master branch dev version and a final release version. Currently, for example, they would both be labeled as `0.8.0`. It would be nice to have unreleased (dev) versions tagged with the git repo commit that they are pulled from. This is done, for example in SciPy and NumPy, and it quite easy to implement. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: deactivate sets `CONDA_PREFIX` to the wrong value. Deactivating an env. into which the new compilers have been installed leads to: ``` ERROR: This cross-compiler package contains no program /opt/conda/bin/x86_64-conda_cos6-linux-gnu-cc ``` This comes from [here](https://github.com/AnacondaRecipes/aggregate/blob/master/ctng-compilers-activation-feedstock/recipe/deactivate-gcc.sh#L58) It seems that `CONDA_PREFIX` has been set to the prefix of the new environment instead of that of the old environment. It doesn't seem to matter whether the legacy activate scripts or the conda shell function are used here, both exhibit the same problem. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Typo in docs? multi-label text classification The docs give an example of text classification on IMDB [here](https://spacy.io/usage/training#example-textcat). It says it's "multi-label", but this dataset is binary. So I'm not sure what you mean here. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: ENH: added env vars I think these variables are useful for a multi user or root install of conda. ``` CONDA_ROOT CONDA_ENV_PATH CONDA_PACKAGE_CACHE ``` This PR adds them to config.py What is the equivalent to conda.config.Config in conda 1.7.1? We were using conda.config.Config in Wakari. In 1.7.1 it has disappeared. Ilan warned me that conda-api may not work, and he was right! It took a bit to figure out this was the problem I was having. Where can I find the equivalent functionality? wish: for auto proxy sites, process proxy.pac proxy.pac is javascript that tells the browser what proxy to use for a destination. it's possible to process that so that conda can communicate. it looks like pac files are being used for proxy mgt at larger corps. here is a pac parser that could be used https://code.google.com/p/pacparser/ <!--- @huboard:{"order":0.96875,"custom_state":""} --> Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: docker-compose config changes external: false to external: true ## Description of the issue In my `docker-compose.yml` I have `external: false` but `docker-compose config` gives me `external: true`. What is the reason for this change of value? My assumption was that this command just validates the file and performs only cosmetic changes. ## Context information (for bug reports) ``` docker-compose version 1.21.2, build a133471 docker-py version: 3.3.0 CPython version: 3.6.5 OpenSSL version: OpenSSL 1.0.1t 3 May 2016 ``` ``` Client: Version: 18.03.1-ce API version: 1.37 Go version: go1.9.5 Git commit: 9ee9f40 Built: Thu Apr 26 07:17:20 2018 OS/Arch: linux/amd64 Experimental: false Orchestrator: swarm Server: Engine: Version: 18.03.1-ce API version: 1.37 (minimum version 1.12) Go version: go1.9.5 Git commit: 9ee9f40 Built: Thu Apr 26 07:15:30 2018 OS/Arch: linux/amd64 Experimental: false ``` ## Steps to reproduce the issue ``` $> cat docker-compose.yml version: '3.4' volumes: test-volume: name: test-name external: false services: test-service: image: test-image $> docker-compose -f docker-compose.yml config services: test-service: image: test-image version: '3.4' volumes: test-volume: external: true name: test-name ``` ### Observed result `docker-compose config` yields `external: true` ### Expected result `external: false` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Populate `examples/` folders @joshmeek @jlowin please add to this list as much as you want: Examples we should have: - [x] example with state handler - [x] example which requires retry and succeeds on second run - [x] example with mapping - [x] example showing scheduling (possibly both cron and interval) - [x] example with a simple parameterized flow (running it multiple times gives multiple outputs due to the parameters) - [ ] an example of a cool flow that uses the imperative API These examples should be "bite-sized", and be ~3 tasks per Flow and easily readable. Updated w/ suggestions Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Cannot take gradient of np.prod With the latest git version of jax, I get an error trying to `grad` a basic `np.prod` because some underlying `reduce` is not implemented. Perhaps this is a known limitation, but I could not find it in the documentation and it's what currently blocks me. Here is a minimal example: ``` import jax.numpy as np from jax import grad g = grad(lambda x: np.prod(x)) g(np.ones((10,8))) ``` > Traceback (most recent call last): > File "/home/guy/jax/jax/interpreters/ad.py", line 210, in process_primitive > jvp = primitive_jvps[primitive] > KeyError: reduce > ... > NotImplementedError: Forward-mode differentiation rule for 'reduce' not implemented > Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: np.take_along_axis gives wrong gradient The following repro script shows the issue: ``` import jax.numpy as np from jax import value_and_grad idx = np.repeat(np.arange(3), 10).reshape((30, 1)) def f(x): y = x * np.arange(3.).reshape((1, 3)) return np.take_along_axis(y, idx, -1).sum() def g(x): y = x * np.arange(3.).reshape((1, 3)) y = np.broadcast_to(y, (30, 3)) return np.take_along_axis(y, idx, -1).sum() print(value_and_grad(f)(1.)) # get 30, 0 print(value_and_grad(g)(1.)) # get 30, 30 ``` I think `(30, 30)` is the correct answer. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: jar install fails when strip enabled My C library has a java binding. When I try to install library with `strip` option enabled, it fails because of the jar target. The following output belongs to the test case `java/1 basic`, with `install` argument added to the jar target: ```sh $ DESTDIR=tmp ninja install [0/1] Installing files. Installing myprog.jar to tmp/usr/local/lib/x86_64-linux-gnu/myprog.jar Stripping target 'myprog.jar' Could not strip file. Stdout: Stderr: strip:tmp/usr/local/lib/x86_64-linux-gnu/myprog.jar: File format not recognized FAILED: install '/usr/bin/python3' '/usr/local/bin/meson' '--internal' 'install' '/home/fatih/git/meson/test cases/java/1 basic/build/meson-private/install.dat' ninja: build stopped: subcommand failed. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Core: Add timeout parameter to connection's api_request() method As a client library developer, I want to have an easy way of specifying the timeout at the transport level for HTTP requests. **Motivation:** If the transport layer makes an HTTP request that gets stalled, it can block the client. Any timeouts and retries on top of it cannot come into play, because the transport layer blocks them while waiting for the response without any timeout specified. One of the manifestations of the problem in the BigQuery client: https://github.com/googleapis/google-cloud-python/issues/7831 Can you help me debug this systematically and explain your reasoning?


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

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


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: Broken / incorrect links to REST API in reference docs Many of the BigQuery REST docs have moved, because internally we use a new code generator for the docs. Previously, all the resource details were on a single page, such as https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs. Now the docs are split up into smaller pages by resource, for example https://cloud.google.com/bigquery/docs/reference/rest/v2/JobReference. This issue was reported internally in issue 141542760 and 141917083. #### Steps to reproduce 1. Navigate to [BigQuery reference docs](https://googleapis.dev/python/bigquery/latest/reference.html). 2. Navigate to a class, such as [LoadJobConfig](https://googleapis.dev/python/bigquery/latest/generated/google.cloud.bigquery.job.LoadJobConfig.html#google.cloud.bigquery.job.LoadJobConfig) 3. Click a link such as https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.load.autodetect 4. Land on a page that does not include information about the desired resource property. #### Proposed solution 1. Identify all links to resources https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs, https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets, https://cloud.google.com/bigquery/docs/reference/rest/v2/tables 2. Update links to point to new location of the relevant type. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: GPT-NEOX RuntimeError Hi, when I ran the model GPT-NEOX, I got the "RuntimeError: batch1 dim 2 must match batch2 dim1" in modeling_gpt_neox.py, line 212. So I tried to debugg and fix this problem, I found the code "present = None if use_cache else (key, value)" in modeling_gpt_neox.py, line 146. Is that logical wrong? and the correct coding should be "present = None if not use_cache else (key, value)" ? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: AttributeError: 'Arrow3D' object has no attribute '_path2d' while plotting bloch vector I wrote the simple code from qiskit.visualization import plot_bloch_vector %matplotlib inline plot_bloch_vector([0,1,0], title="New Bloch Sphere") taken from https://qiskit.org/documentation/stubs/qiskit.visualization.plot_bloch_vector.html I keep getting AttributeError: 'Arrow3D' object has no attribute '_path2d' in my jupyter notebook. I have {'qiskit-terra': '0.19.1', 'qiskit-aer': '0.10.1', 'qiskit-ignis': '0.7.0', 'qiskit-ibmq-provider': '0.18.3', 'qiskit-aqua': '0.9.4', 'qiskit': '0.34.0', 'qiskit-nature': None, 'qiskit-finance': None, 'qiskit-optimization': None, 'qiskit-machine-learning': None} My matplotlib version is 3.4.3 Can anyone provide a solution for this and let me know where I am going wrong. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Autocompletion of %colors No autocompletion is implemented for %colors currently. Arguably a low-priority 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 huggingface/transformers codebase. Here's the problem: Adding NLLB-200 - MoE - 54.5B for no language left behind ### System Info Hello @LysandreJik, Thanks a lot for your work on no language left behind. Is there any plan to add the 54.4B Model? Kindest regards ### Who can help? _No response_ ### Information - [ ] The official example scripts - [ ] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction Improvement ### Expected behavior 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 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 apache/airflow codebase. Here's the problem: API Endpoint - CRUD - Dag Runs Hello We need to create several endpoints that perform basic CRUD operations on **DAG Run**. We need the following endpoints: DELETE /dags/{dag_id}/dagRuns/{dag_run_id} PATCH /dags/{dag_id}/dagRuns/{dag_run_id} POST /dags/{dag_id}/dagRuns/{dag_run_id} It depends on https://github.com/apache/airflow/issues/8129 Detailed information is available in the issue: https://github.com/apache/airflow/issues/8118 LOVE, Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: MSVC __cplusplus fix used Visual Studio version rather than Visual C++ Compiler version **Describe the bug** A change was made to meson to specify /Zc:__cplusplus which makes MSVC correctly define __cplusplus to a meaningful value (see https://docs.microsoft.com/en-us/cpp/build/reference/zc-cplusplus?view=msvc-160), but the meson check whether to include it or not seems to be comparing against a Visual Studio version number rather than a Visual C++ compiler version number. See commit https://github.com/mesonbuild/meson/commit/04c728a126cc484cda21d21d672630d298cae9b8 ``` if version_compare(self.version, '>= 15.7') and '/Zc:__cplusplus' not in args: return args + ['/Zc:__cplusplus'] return args ``` The comparison should be something like the following, according to the version on this website https://walbourn.github.io/vs-2017-15-7-update ``` if version_compare(self.version, '>= 19.14.26428') and '/Zc:__cplusplus' not in args: return args + ['/Zc:__cplusplus'] return args ``` Visual Studio 2012 version is emitting the following complaint with each compilation unit: cl : Command line warning D9002 : ignoring unknown option '/Zc:__cplusplus' **To Reproduce** Any C++ project targeting Visual Studio 2012 exhibits the above behaviour. **Expected behavior** No warnings when building with versions of Visual Studio/C++ which don't support this. **system parameters** * Native * Windows 10 * Python 3.10.1 * `meson --version`: 0.63.0 * `ninja --version`: 1.10.2.git.kitware.jobserver-1 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: local cache inconsistent after enabling short_paths in a recipe To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Conan Version 1.3.3 Windows 10 With a package in local cache whose recipe does NOT have `short_paths=True`, modify in normal development folder the recipe and set `short_paths=True` and run conan create. Folders in local cache become inconsistent showing both folders from previous conan create run and .conan_link files pointing to the short paths folders. This seems no not affect conan tool behavior when running commands and works well if `short_paths` is removed once again. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: QNSPSA produces irreproducible results <!-- ⚠ 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**: qiskit-terra 0.17.0 - **Python version**: Python 3.7.3 - **Operating system**: MacOS Big Sur 11.6 ### What is the current behavior? Executing a `QNSPSA` optimization with the same random seed gives different results. We checked that the same optimization gives reproducible results with other optimizers such as `ADAM`. ### Steps to reproduce the problem Run an arbitrary optimization, e.g., VQE with QNSPSA, and compare the results. ### What is the expected behavior? The same results for the same seed. ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Use make_singleuser_app when available Follow up to #8806. Once there is a release with https://github.com/jupyterhub/jupyterhub/pull/3128, prefer to use ` from jupyterhub.mixins import make_singleuser_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 dagster-io/dagster codebase. Here's the problem: Make frozendict generic for type annotation Trying to make frozendict a generic that inherits dictionary causes linting issues. Seems related to this pylint issue: https://github.com/PyCQA/pylint/issues/2420 Things that I have tried: - `class frozendict(Dict[_KT, _VT], Generic[_KT, _VT]):` - `class frozendict(dict, Mapping[_KT, _VT]):` - `class frozendict(dict, Generic[_KT, _VT]):` errors it runs into: ``` dagster/core/log_manager.py:24:17: E1101: Instance of 'frozendict' has no 'keys' member (no-member) dagster/core/log_manager.py:24:62: E1101: Instance of 'frozendict' has no 'keys' member (no-member) dagster/core/log_manager.py:87:16: E1101: Instance of 'frozendict' has no 'get' member (no-member) dagster/core/log_manager.py:88:11: E1136: Value 'PYTHON_LOGGING_LEVELS_MAPPING' is unsubscriptable (unsubscriptable-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 apache/airflow codebase. Here's the problem: Potential Bug in DataFlowCreateJavaJobOperator ### Apache Airflow Provider(s) google ### Versions of Apache Airflow Providers _No response_ ### Apache Airflow version 2.2.3 ### Operating System mac ### Deployment Docker-Compose ### Deployment details _No response_ ### What happened Passing anything other than a GCS bucket path to the `jar` argument results in the job never being started on DataFlow. ### What you expected to happen Passing in a local path to a jar should result in a job starting on Data Flow. ### How to reproduce Create a task using the DataFlowCreateJavaJobOperator and pass in a non GCS path to the `jar` argument. ### Anything else It's probably an indentation error in this [file](https://github.com/apache/airflow/blob/17d3e78e1b4011267e81846b5d496769934a5bcc/airflow/providers/google/cloud/operators/dataflow.py#L413) starting on line 413. The code for starting the job is over indented and causes any non GCS path for the `jar` to be effectively ignored. ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: [Pub/Sub] Add a bare Subscriber factory to Client Current Pub / Sub API requires a topic to create a subscription. This is unnecessary and cumbersome. It is also not feasible for some use cases: some users will only be given a subscription resource name to work with and not know the topic. Current API: ```python from google.cloud import pubsub client = pubsub.Client() topic = client.topic(topic_name) subscription = topic.subscription(sub_name) ``` Target: ```python subscription = client.subscription(sub_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 googleapis/google-cloud-python codebase. Here's the problem: gcloud.datastore.key.Key.parent untested, undocumented, useless At the moment, it just raises `NotImplementedError`. I imagine that it is intended to return a new key whose path is the "parent path" of the current key. E.g.: ``` >>> from gcloud.datastore.key import Key >>> PATH = [{'kind': 'parent', 'id': 123}, {'kind': 'child', 'id': 456}] >>> child = Key(path=PATH) >>> parent = key.parent() >>> parent.path() == child.path[:-1] True ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: install_folder usage in CMakeDefinitionsBuilder can break custom generators To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. Conan 1.18 Windows 10 x86_64 Custom generator such as https://github.com/pepe82sh/ConanCmakeToolchainGenerator - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. #5021 moves install_folder outside the check for the generators. When we use a custom generator such as https://github.com/pepe82sh/ConanCmakeToolchainGenerator the CMakeDefinitionsBuilder cannot be used to get the cmake definitions. This results in: conanfile.txt: ERROR: Generator CmakeToolchain(file:conan_toolchain.cmake) failed 'ConanFile' object has no attribute 'install_folder' ERROR: 'ConanFile' object has no attribute 'install_folder' I'm not sure if this is the custom generator misusing CMakeDefininitionsBuilder, or the CMakeDefininitionsBuilder using install_folder when it should not. I think the functionality this custom generator brings are great and I am willing to have a look to fix this in a good way (on conan or CmakeToolchain), but for now I am clueless :-). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Decoding error when running a stored flow ``` Traceback (most recent call last): File "<string>", line 1, in <module> File "/usr/local/lib/python3.6/site-packages/prefect/environments/execution/cloud/environment.py", line 104, in run_flow flow = schema.load(json.load(f)) File "/usr/local/lib/python3.6/json/__init__.py", line 296, in load return loads(fp.read(), File "/usr/local/lib/python3.6/codecs.py", line 321, in decode (result, consumed) = self._buffer_decode(data, self.errors, final) UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 0: invalid start byte ``` Still investigating the issue Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: When a flow has no storage attached, the agent should mark the run as failed It appears that if the Agent picks up a run with no storage, it will mark it as submitted. This run will then exist in limbo forever, as it can never be run. The agent should put it in a failed state if it can recognize it'll never 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 conan-io/conan codebase. Here's the problem: [question] What does "ERROR: There are 4 binaries with name libxml2" mean? <!-- What is your question? Please be as specific as possible! --> Conan version: 1.20.2 I'm running into this error message when building our tree with most (but not all) of our profiles. There are many similar messages with different packages. I'm calling `conan create` with a lockfile to build the package. The message comes from here: https://github.com/conan-io/conan/blob/1.20.2/conans/model/graph_lock.py#L324 The wording "binary" is probably misleading here, but I assume this means that somehow there are multiple nodes in the dependency tree with the same name. We probably have overlap in the tree (i.e. not always just the minimal needed packages are required explicitly, sometimes things that are transitive deps of the top-level dependencies are also required explicitly). But we don't have name collisions in our packages. So what does this error mean exactly and what can I do to resolve it? --- - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Test package command failing when method requirements in test package's conanfile Creating a new package with "conan new -t", and editing the example to require the package in a requirements method: ``` class MyTestConan(ConanFile): settings = "os", "compiler", "build_type", "arch" # requires = "prueba/0.1@%s/%s" % (username, channel) generators = "cmake" def requirements(self): self.requires("prueba/%s@lasote/stable" % os.environ.get("MY_VERSION_ENV", "0.1")) ``` Output: `ERROR: Unable to retrieve first requirement of test conanfile.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 mesonbuild/meson codebase. Here's the problem: VS backend doesn't respect warning_level/--warnlevel All generated VS projects use `/W1` regardless of warning level. VisualStudioCPPCompiler correctly returns `'/W4'` for `get_warn_args('3')`, so it's clearly the backend that's failing to use it. I'm currently trying to trace the problem in order to create a pull request for it. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: docstring typo/inconsistency: mention of an xml notebook format? The helptext for the `%notebook` magic mentions that you can save the notebook in an xml format, e.g. [here](https://github.com/ipython/ipython/blob/master/IPython/core/magics/basic.py#L557) and [here](https://github.com/ipython/ipython/blob/master/IPython/core/magics/basic.py#L564), but in [the code](https://github.com/ipython/ipython/blob/master/IPython/core/magics/basic.py#L602) it seems pretty clear that the xml format isn't allowed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Make links to documentation under help menu use configuration vars rather than hard coding <!-- Welcome! Thank you for contributing. These HTML comments will not render in the issue, but you can delete them once you've read them if you prefer! --> <!-- Thanks for thinking of a way to improve JupyterLab. If this solves a problem for you, then it probably solves that problem for lots of people! So the whole community will benefit from this request. Before creating a new feature request please search the issues for relevant feature requests. --> ### Problem Under the help menu, the links for Jupyterlab FAQ for instance, are all hardcoded in the compiled Javascript objects. when running Jupyter in an isolated environment, changing those URLs to point to locally hosted documentation involves lots of "sed" commands against the jupyter/lab/static directory, and the urls keep changing meaning the regexps keep having to be updated. (Is it /stable/ is it /latest/, etc...) If those URLs were instead in some kind of configuration file, even if as an option, that would make life much easier. ### Proposed Solution <!-- Provide a clear and concise description of a way to accomplish what you want. For example: * Add an option so that when [...] [...] will happen --> I am not sure where this would fit best. Could be a configuration setting you can change in the settings editor since you can apply overrides for those, could be in some hidden json file. Anything to make life easier going forward. Ideally the same solution would be leveraged by Notebookv7 but figured lab is where to get this discussion started. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: valid range for RowSampleFilter is incorrect. This is a documentation bug, here: [https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/bigtable/google/cloud/bigtable/row_filters.py#L171][1] the documentation asserts that the valid range for a RowSampleFilter is `[0.0, 1.0]`. In fact, it is the open interval `(0.0, 1.0)`. The server rejects both `0.0` and `1.0`. [1]: https://github.com/GoogleCloudPlatform/google-cloud-python/blob/017714cf91a310caafc60181c044d7812c7226b7/bigtable/google/cloud/bigtable/row_filters.py#L171 Can you help me debug this systematically and explain your reasoning?