[System] You are an expert software 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] 'conan info' to return the package revision Currently, the `conan info` command returns the recipe revision, but information about package revision is not available: ```json { "revision": "a9d892fd37101b88578f17fbc04b9d60", "reference": "boost/1.70.0", "is_ref": true, "display_name": "boost/1.70.0", "id": "d45e2a7cc75163518ffbbda3fa886038ecaa8f54", "build_id": null, "remote": { "name": "conan-center", "url": "https://conan.bintray.com" }, "url": "https://github.com/conan-io/conan-center-index", "homepage": "https://www.boost.org", "license": [ "BSL-1.0" ], "description": "Boost provides free peer-reviewed portable C++ source libraries", "topics": [ "conan", "boost", "libraries", "cpp" ], "recipe": "Cache", "binary": "Cache", "binary_remote": "conan-center", "creation_date": "2020-08-31 13:15:59", "requires": [ "zlib/1.2.11", "bzip2/1.0.8" ] }, ``` It should be easy to add and more convenient than running `conan search <ref>#<rrev>:<pid> --revisions` afterward. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Create `layout` stage (trivial, dense, sabre, noise_adaptive) plugin Create a plugin for the builtin layout stage methods. One particular oddity for this stage is it's not just the straight methods, but also a default method will be needed. The default stage will integrate vf2layout (and initial layout too for level 1). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: Bug with jax.disable_jit (or lax.cond, or vmap?) Attempt at minimal reproducing example: ```python def fn(t): return jax.lax.cond(t > 0, 0, lambda x: 0, 0, lambda x: 1) fn = jax.vmap(fn) with jax.disable_jit(): outputs = fn(jnp.array([1])) ``` fails with ``` Encountered value: Traced<ShapedArray(bool[])>with<BatchTrace(level=11/0)> with val = DeviceArray([ True], dtype=bool) batch_dim = 0 ``` It does not fail without the `disable_jit()` and it does not fail without the `vmap` (input a scalar in that case). disable_jit extensions to control flow constructs break with vmap The extension of `jax.disable_jit()` context to the control flow elements (e.g. `while_loop`, `cond`) isn't correct in the presence of batch tracers for `vmap`. `while_loop` and `cond` are rewritten to use python control flow under this context, but conditional branching can't be evaluated on the batchtracers present when functions using these control flow constructs are inside a `vmap`. e.g. ```python def trivial_while(y): return lax.while_loop(lambda x: x < 10.0, lambda x: x + 1.0, y) # works: jax.vmap(trivial_while)(jnp.array([3.0,4.0])) # throws a ConcretizationTypeError: with jax.disable_jit(): jax.vmap(trivial_while)(jnp.array([3.0,4.0])) ``` likewise: ```python def trivial_cond(x): return lax.cond(x < 1.0, x, lambda x: x, x, lambda x: 2*x) # works jax.vmap(trivial_cond)(jnp.array([0.5,2.0])) # throws a ConcretizationTypeError: with jax.disable_jit(): jax.vmap(trivial_cond)(jnp.array([0.5,2.0])) ``` Perhaps the disabled_jit python implementations for these control flow constructs could peak at the tracer value's `val` field which I suspect will be populated in these use-cases? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add ability to sign URL from App Engine service account Can use the [App Identity](https://cloud.google.com/appengine/docs/python/appidentity/functions) API: ``` python from google.appengine.api.app_identity import sign_blob sign_blob(bytes_to_sign, deadline=deadline_seconds) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: qpy not recognizing complex number as a parameter for Initialize <!-- ⚠ 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**: 0.18.0 - **Python version**: - **Operating system**: ### What is the current behavior? When trying to serialize a QuantumCircuit using qpy, I got ``` ~/Documents/Q/Github/qiskit-terra/qiskit/circuit/qpy_serialization.py in _write_instruction(file_obj, instruction_tuple, custom_instructions, index_map) 722 size = len(data) 723 else: --> 724 raise TypeError( 725 f"Invalid parameter type {instruction_tuple[0]} for gate {type(param)}," 726 ) TypeError: Invalid parameter type <qiskit.extensions.quantum_initializer.initializer.Initialize object at 0x103fd6dc0> for gate <class 'complex'>, ``` ### Steps to reproduce the problem The circuit I used: ``` import io import numpy as np from qiskit.circuit import QuantumCircuit, qpy_serialization from qiskit.circuit.library import QFT from qiskit.quantum_info import Statevector k = 5 state = (1/np.sqrt(8))*np.array([np.exp(-1j*2*np.pi*k*(0)/8),np.exp(-1j*2*np.pi*k*(1)/8), np.exp(-1j*2*np.pi*k*(2)/8), np.exp(-1j*2*np.pi*k*3/8),np.exp(-1j*2*np.pi*k*4/8),np.exp(-1j*2*np.pi*k*5/8), np.exp(-1j*2*np.pi*k*6/8), np.exp(-1j*2*np.pi*k*7/8)]) qubits = 3 circuit = QuantumCircuit(qubits, qubits) circuit.initialize(state) circuit.append(QFT(qubits),range(qubits)) circuit.measure(range(qubits),range(qubits)) buffer = io.BytesIO() qpy_serialization.dump(circuit, buffer) ``` ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: When kernel is missing, notebook fails to load Using master as of 0f92b92748b0dc07dd, I tried loading a notebook with a kernel I don't have configured (Python 3). Instead of getting the message indicating I should install it and at least being able to read the notebook, the popup said ``` Notebook failed to load The error was: TypeError: Cannot read property 'resources' of undefined ``` And the notebook didn't load at all. This is obviously a hard blocker for release. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Do not allow fine tuning with sequence size larger than during training # 🚀 Feature request <!-- A clear and concise description of the feature proposal. Please provide a link to the paper and code in case they exist. --> ## Motivation I just wasted some hours chasing a problem see #10010 that I think could be avoided with the following simple solution: Do not allow `max_seq_length` to be higher than `max_position_embeddings`. Most models are built with 512 and, as such, this problem doesn't happen too often. It so happens that BERTweet was trained with 130. The code allows it to run with `max_seq_length` higher than 130 and it ends up with cryptic cuda errors down the pipe. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: custom_channels incorrect in 'conda config --show' Especially for anaconda channel, weird replacement happening. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 new template recipes A use case where a team is creating many packages for their own libraries, and the recipes are very similar, it is useful to have the possibility to use a pre-defined template for the ``conan new`` command. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: lax.scan has error when input array is not a jax array lax.scan raise an TypeError: 'JaxTuple' object does not support indexing incorrectly A simple repro can be found here ``` import collections from jax import lax import jax.numpy as np Point = collections.namedtuple('Point', 'x y') p0 = Point(x=np.array(1), y=np.array(2)) def plus_one(p, iter_idx): return Point(p.x+1, p.y+1), iter_idx point, _ = lax.scan(plus_one, p0, list(range(5))) print(point) ``` or in this colab https://colab.research.google.com/drive/1_jmdeIjfxJwUElNpwEbBR1gnAQDe8WbP Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: missing runtime vcruntime140.dll Hi thanks for your great project ! I installed **meson-0.42.1-32.msi** on a mostly clean 32-bit Windows 7, then on launching `meson --version` in a cmd, I get the "missing runtime vcruntime140.dll " pop-up. To fix it, I installed the [Microsoft Visual C++ 2015 Redistributable](https://www.microsoft.com/en-US/download/details.aspx?id=53587), this should probably be documented. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: WavLM paper points to UniSpeech ### System Info NA ### Who can help? @sgugger ### 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 https://github.com/huggingface/transformers/blob/e42587f596181396e1c4b63660abf0c736b10dae/src/transformers/models/wavlm/modeling_wavlm.py#L1060-L1063 https://arxiv.org/abs/2101.07597 is UniSpeech. WavLM should be https://arxiv.org/abs/2110.13900 instead. ### Expected behavior NA Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Qiskit transpiler cannot handle custom multi-qubit gates <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? Because Qiskit is backend agnostic, we should be able to define custom multi qubit gate. What I want to do here is ```python qc = QuantumCircuit(3) qc.append(Gate('my_custom_3q_gate', 3, []), [0,1,2]) qc.h(0) qc.sdg(0) qc.y(1) ... qc.add_calibration('my_custom_3q_gate', (0,1,2), my_custom_3q_gate_schedule) qc = transpile(qc, backend, basis_gates=['u1', 'u2', 'u3', 'cx', 'my_custom_3q_gate']) sched = schedule(qc, backend) ``` But current transpiler passes don't allow to have 3q basis gates. I think this limits capability of Qiskit. https://github.com/Qiskit/qiskit-terra/blob/6646e681501deb8aac55cdc69a8a351ec058e989/qiskit/transpiler/preset_passmanagers/level0.py#L107 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Bug in mapping? <!--- Provide a general summary of the issue in the Title above --> Measurement results differ in compiling with/without coupling_map. ## Expected Behavior <!--- If you're describing a bug, tell us what should happen --> <!--- If you're suggesting a change/improvement, tell us how it should work --> With this QASM (`coupling_map=None`), expected measurement results are {'1001', '0001'} ``` OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; // -X-.----- // -Y-+-S-.- // -Z-.-T-+- // ---+-H--- x q[0]; y q[1]; z q[2]; cx q[0], q[1]; cx q[2], q[3]; s q[1]; t q[2]; h q[3]; cx q[1], q[2]; measure q[0] -> c[0]; measure q[1] -> c[1]; measure q[2] -> c[2]; measure q[3] -> c[3]; ``` ## Current Behavior <!--- If describing a bug, tell us what happens instead of the expected behavior --> <!--- If suggesting a change/improvement, explain the difference from current behavior --> {'0000', '1000'} are obtained with `coupling_map = {0: [2], 1: [2], 2: [3], 3: []}` ## 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 --> ``` qp = QuantumProgram() qp.load_qasm_file('qasm_above.qasm', name='test2') coupling_map = {0: [2], 1: [2], 2: [3], 3: []} result1 = qp.execute(["test2"], backend="local_qasm_simulator", coupling_map=coupling_map) print(result1.get_counts("test2")) result2 = qp.execute(["test2"], backend="local_qasm_simulator", coupling_map=None) print(result2.get_counts("test2")) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Revisit importing dependencies from `IPython.external` `python3 -c "import IPython; print(IPython.sys_info())"` fails if executed in a directory which contains a subdirectory named "path": `Traceback (most recent call last): File "<string>", line 1, in <module> File "/home/gert/.virtualenvs/ipython/lib/python3.3/site-packages/IPython/__init__.py", line 43, in <module> from .config.loader import Config File "/home/gert/.virtualenvs/ipython/lib/python3.3/site-packages/IPython/config/__init__.py", line 16, in <module> from .application import * File "/home/gert/.virtualenvs/ipython/lib/python3.3/site-packages/IPython/config/application.py", line 31, in <module> from IPython.config.configurable import SingletonConfigurable File "/home/gert/.virtualenvs/ipython/lib/python3.3/site-packages/IPython/config/configurable.py", line 33, in <module> from IPython.utils.text import indent, wrap_paragraphs File "/home/gert/.virtualenvs/ipython/lib/python3.3/site-packages/IPython/utils/text.py", line 27, in <module> from IPython.external.path import path ImportError: cannot import name path` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 new command with template packages Template based generation of conan packages with "test_package" included for: - Header only libraries - Normal, with source. It should generate the skeleton of the package, including the test_package based on: - Package name, package version, user, channel (set default, can be changed later) - Header or source Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: GCSToBigQueryOperator no longer uses field_delimiter or time_partitioning ### Apache Airflow Provider(s) google ### Versions of Apache Airflow Providers google=8.5.0 ### Apache Airflow version 2.4.3 ### Operating System Debian GNU/Linux 11 (bullseye) ### Deployment Other Docker-based deployment ### Deployment details _No response_ ### What happened The newest version of the google providers no longer provides the `field_delimiter` or `time_partitioning` fields to the bq job configuration for the GCStoBQ transfers. Looking at the code it seems like this behavior was removed during the change to use deferrable operations ### What you think should happen instead These fields should continue to be provided ### How to reproduce _No response_ ### Anything else _No response_ ### Are you willing to submit PR? - [x] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: docker-compose exec should support -u like docker-compose run does From the output of `docker-compose help run` ``` -u, --user="" Run as specified username or uid ``` From the output of `docker-compose help exec` ``` --user USER Run the command as this user. ``` For symmetry reasons, `exec` should also support `-u`. The help messages should be identical, too. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: install_headers ignores 'subdir:' if 'install_dir:' is set **Describe the bug** The install_headers function provides both `install_dir` and `subdir` parameters and documents that the `subdir` parameter is added to any `install_dir` parameter. However, the code ignores `subdir` when `install_dir` is specified. **To Reproduce** [install-header.zip](https://github.com/mesonbuild/meson/files/8165005/install-header.zip) **Expected behavior** The header file should be installed in install_dir / subdir **system parameters** * plain native build * Debian unstable * Python 3.9.10 * meson version 0.61.2 * ninja version 1.10.1 **Suggested Fix** Because existing meson will ignore subdir, I suggest that the documentation be changed to indicate that you cannot use both options at the same time and then make the code raise an error if they are both specified. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: docs: correct number of layers for various xlm models Hi, during some NER experiments I found out, that the number of reported layers in the documentation is different compared to the model configuration for some XLM models. This PR fixes the documentation :) Getting embedding from XLM in differnet languages ## ❓ Questions & Help Hi, I'm trying to get a cross-lingual embedding from the XLM model, but can't figure out how. In the project original github, you need to give the tokenizer the language of each of the tokens, but it doesn't seem the case here. Will appreciated any help on the matter :) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: missing build script for highlight.js The highlight.js folder is missing tools/build.py required to build it from source. This is annoying for packaging so please add it, also in the 1.x branch. For debian the embedded yuicompressor is not needed as the packaged one can be used. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [suggestion] failure to auto-detect a compiler for the default profile should not report 'ERROR:' Conan outputs that there has been an error when no compiler is found during auto-detect: ``` conan profile new default --detect Profile created with detected settings: C:\Jenkins\workspace\my_job\.conan\profiles\default ERROR: Unable to find a working compiler ``` This happens often because my compiler is not installed on the machine - I am using a `build_requires` package for my cross-compiler toolchain and `conan config install ...` to get the profile which adds it. But I do still want to auto-detect to get the correct values for `os`, `arch`, etc. based on the build machine. I find this message misleading and developers often mistake this for the reason why jobs fail, rather than looking further down the build log... and it only becomes more confusing when creating a package which does not have a need for the `compiler` setting at all (for example, when packaging `build_requires`). I would like to see it re-worded or even removed. I guess any problems would become clear on `conan install` anyway. 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 huggingface/transformers codebase. Here's the problem: considering `pad_to_multiple_of` for run_mlm.py ## Environment info <!-- You can run the command `transformers-cli env` and copy-and-paste its output below. Don't forget to fill out the missing fields in that output! --> - `transformers` version: 4.3.3 - Platform: linux - Python version: 3.7 - PyTorch version (GPU?): 1.8 - Tensorflow version (GPU?): - - Using GPU in script?: - - Using distributed or parallel set-up in script?: - ### Who can help @sgugger, @patil-suraj ## Information I have seen in huggingface codes such as run_seq2seq.py that for the case of fp16, they pad to multiple of 8 like below, perhpas for efficiency purpose: ``` data_collator = DataCollatorForSeq2Seq( tokenizer, label_pad_token_id=label_pad_token_id, pad_to_multiple_of=8 if training_args.fp16 else None, ) ``` For run_mlm.py codes, the padding condition in case of fp16 is not considered, could it be a bug and possibly performance could get better in run_mlm.py if this was set? kindly appreciate having a look. 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 docker/compose codebase. Here's the problem: Using docker-compose with multiple configuration files disables network_mode: "host" for services When using docker-compose (v1.6) with multiple configuration files with "-f" like the following: docker-compose -f docker-compose.yml -f preproduction.yml build docker-compose -f docker-compose.yml -f preproduction.yml up -d If services are using network_mode: "host" then this configuration is disabled (dropping to "bridge" mode) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Relocate mock backends from qiskit.test.mock to qiskit.mock or similar <!-- ⚠ 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? From https://github.com/Qiskit/qiskit-terra/pull/3890#issuecomment-591655403 : now that the fake backends are useful beyond testing, they should be moved somewhere more visible and their usage should be documented. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Relaxing `PreTrainedModel` requirement in _save # 🚀 Feature request It's great to see that `Trainer` is becoming flexible. Each functions seems to be more self contained now making inheritance easier. I've experimented with many custom models. For instance, ``` class Model(nn.Module): def __init__(self, ..): self.encoder = AutoModel.from_pretrained(..) self.custom_modules = .. def forward(self, **kwargs): output = self.encoder(**kwargs) # some custom operations ``` Many users are required to create custom models if they just don't want simple `SequenceClassification` head. In all cases, I have to override `_save` method because of [this line](https://github.com/huggingface/transformers/blob/d822ab636b6a14ed50f7bca0797c1de42c19de61/src/transformers/trainer.py#L1097) which explicitly puts a restriction on `Trainer` to be used with models that inherit from `PreTrainedModel`. It would be good to relax this requirement and give a warning about not using `PreTrainedModel` instead. ## Your contribution I'll open a PR if I get approval. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: minor problem in error message for jax.experimental.optimizers.piecewise_constant Hi, I think there is a small problem with the error message for jax.experimental.optimizers.piecewise_constant. ```python def piecewise_constant(boundaries, values): boundaries = jnp.array(boundaries) values = jnp.array(values) if not boundaries.ndim == values.ndim == 1: raise ValueError("boundaries and values must be sequences") if not boundaries.shape[0] == values.shape[0] - 1: raise ValueError("boundaries length must be one longer than values length") ``` I think the last line should read "boundaries length must be one less than values length" or something along those lines. Cheers! Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Transfer the CNOTDihedral Operator class from ignis to Terra quantum_info/Operators <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected behavior? Transfer the `CNOTDihedral` Operator class from Ignis to Terra quantum_info/Operators, so that it can be useful not only to Randomized Benchmarking, but also to other applications. The code is currently located in: https://github.com/Qiskit/qiskit-ignis/blob/master/qiskit/ignis/verification/randomized_benchmarking/dihedral.py And the `CNOTDihedral` class already inherits from the abstract `BaseOperator` class. The following functions should be moved: - `CNOTDihedral` class should be moved to: https://github.com/Qiskit/qiskit-terra/tree/master/qiskit/quantum_info/operators - `decompose_cnotdihedral` should be moved to: https://github.com/Qiskit/qiskit-terra/tree/master/qiskit/quantum_info/synthesis - `random_cnotdihedral` should be moved to: https://github.com/Qiskit/qiskit-terra/blob/master/qiskit/quantum_info/operators/random.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 Qiskit/qiskit codebase. Here's the problem: multi-language documentation <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected behavior? I would like to remove all the multi-language documentation from this repository and add it to github.com/Qiskit/qiskit. I am not sure of the best way we do it and I let all discuss in that repository how we should do it. But we are not going to have documentation in the individual elements (only a readme about the element, contributing guidelines and other community files) @alfrisch could you take the lead on the German @rraymondhp could you take the lead on the Japanese @hanheepaik could you take the lead on the Korean @liupibm could you take the lead on the Chinese 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: L_BFGS_B maxiter and maxfun defaults should be swapped ### Environment Generic implementation bug, not about environment ### What is happening? Note that in qiskit.algorithms.optimizers.l_bfgs_b, we have the following defaults: ``` def __init__( self, maxfun: int = 1000, maxiter: int = 15000, ... ``` This is problematic since if maxfun is less than maxiter, the optimization will always get terminated by maxfun, since maxfun is always larger than maxiter (as calling from scipy library). Typically, one would get something like, depend on your option setting, ``` {'_x': (ignored here), '_fun': 942148.4943465312, '_jac': None, '_nfev': 12768, '_njev': 224, '_nit': 211} ``` Here, nit = 211 << nfev = 12768. Therefore I would think it is proper to have those two defaults swapped. It has been a while for me that I have to swap them manually each time. ### How can we reproduce the issue? The issue is about default values. ### What should happen? I suggest we set qiskit.algorithms.optimizers.l_bfgs_b to ``` def __init__( self, maxfun: int = 15000, maxiter: int = 1000, ... ``` ### 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 ipython/ipython codebase. Here's the problem: Improve autocomplete UX Hi, IPython recently introduced hinted suggestions as input is being typed. The user can accept the suggestion by pressing END or RIGHT. Alternatively, the user can scroll through other prefix matches in the history by pressing UP (and DOWN). However, all these modes of navigation move the cursor to the end of the line. It is impossible to accept a prefix of a hinted suggestion. We would like to propose keeping the cursor in place and naturally supporting the cursor movement with the logic of “accept anything that is on the LHS of the cursor”. This would allow reusing long prefixes without the need to accept the entire line and make edits from its end. For example, suppose the history includes very.long.module.foo.func() very.long.module.bar.Baz() The user types the prefix “very.”. The hinted suggestion would be “long.module.bar.Baz()”. The user can now press: 1. RIGHT/CTRL-RIGHT to accept letters/words from the hinted completion. This would make it easier to type “very.long.module.bar.Zap()”. 2. END to accept the entire suggestion. 3. UP to replace the hinted suggestion with “long.module.foo.func()” (cursor stays in place). 4. BACKSPACE to delete last character and resume hinting from the new prefix (currently, it aborts hinting). 5. LEFT to accept the hint and move the cursor to the left. 6. New key binding to accept the suggestion but keep cursor in place. Thoughts? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Extracting permutation of classical registers from Quantum Circuit Hi, during routing/mapping passes input quantum registers could be permuted, the permutation logical -> physical qregs is saved in `quantum_circuit._layout` property and could be easily accessed by a user. Similarly, classical cregs also become permuted after routing/mapping: physical cregs->logical cregs. This permutation can be extracted when applying measure gates `quantum_circuit.measure_all()`. E.g. when two cregs (0 and 1) are permuted than the measure gates will look like: `measure qreg[0] creg[1];` `measure qreg[1] creg[0]`. However, _when measure gates are not applied_, there is still could be implicit permutation of cregs after mapping/routing pass. It seems that there is no simple way to access information about cregs permutation, which could be inconvenient in some cases. For example this information is necessary to check the equivalence of original and transpiled circuits. Is it possible to add this information as a property of QuantumCircuit object? Or there is some other way to access this information? Thanks a lot! Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Provide a separate step for 2 step build systems such as CMake and AutoTools As discussed in #2470, it would be very helpful to have a separate step that would only call `configure()` function of `CMake` and `AutoToolsBuildEnvironment` because Conan passes useful information to them so calling them directly without Conan will probably configure them incorrectly and always calling `conan build` is very impractical. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: nbconvert --to slides --post server reveal.js redirection not working I am using ipython nbconvert to serve my notebooks as slides locally. When I run ipython nbconvert --to slides --post serve my-notebook.ipynb the slides are not rendered correctly. I have noticed in the log that a redirection is added to serve reveal.js: `[NbConvertApp] Redirecting reveal.js requests to https://cdn.jsdelivr.net/reveal.js/2.5.0` but https://cdn.jsdelivr.net/reveal.js/2.5.0 returns a 403 error. I have noticed that in the most recent version the file ipython/IPython/nbconvert/postprocessors/serve.py has the url updated to point to https://cdn.jsdelivr.net/reveal.js/2.6.2 -- this new url also returns a 403 error. --- Environment details: python -c "import IPython; print(IPython.sys_info())" {'commit_hash': '1c0eb68', 'commit_source': 'installation', 'default_encoding': 'UTF-8', 'ipython_path': '/Users/lm/anaconda/lib/python3.4/site-packages/IPython', 'ipython_version': '2.3.1', 'os_name': 'posix', 'platform': 'Darwin-14.1.0-x86_64-i386-64bit', 'sys_executable': '/Users/lm/anaconda/bin/python', 'sys_platform': 'darwin', 'sys_version': '3.4.2 |Anaconda 2.1.0 (x86_64)| (default, Oct 21 2014, ' '17:42:20) \n' '[GCC 4.2.1 (Apple Inc. build 5577)]'} Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: GitPython in submodules Using GitPython in a submodule doesn't work. Python 2.7.6, GitPython 0.3.2 RC1 on Windows. I have a repository 'a' with a submodule 'b'. I do: ``` >>> repo = git.Repo('C:\a\b') >>> repo (git.Repo "C:\a\.git") >>> # (should be "C:\a\.git\modules\b") >>> repo.heads (... a's branches...) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add handling for `operational`, `faulty_{qubits,gates}` to `convert_to_target` ### What should we add? `convert_to_target` doesn't currently look at `operational` and `faulty_{qubits,gates}` fields. `Target` nominally has support for these by removing faulty gates from each qubit, but this needs to be done while constructing the `Target`. Handling these within `convert_to_target` would allow for compiling against backends with faulty qubits. (N.B. Executing jobs against these backends would still require an additional step of re-indexing compiled circuits to the original qubit indicies, but that may be eased by #9851 ). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Randomized testing failure on main <!-- commit 60c8bba11f7314e376ff2fd7e6f211bad11b702e@master --> Trying to build `master` at commit 60c8bba11f7314e376ff2fd7e6f211bad11b702e failed. More info at: https://travis-ci.com/Qiskit/qiskit-terra/jobs/208623536 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Better handling of linked packages @SylvainCorlay reported this while working on the ipywidgets upgrade. I'm going to come up with a repro, but the general idea is: - make an extension that depends on a published library - check out that library locally - bump the version number - run jupyter labextension link - change directories back to the extension - run jupyter labextension link At this point, jupyter lab complains that it cannot find a published version of the linked dependency. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Get Learning Rate SPSA & QNSPSA <!-- ⚠ 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? For `SPSA` as well as `QNSPSA` you can set `learning_rate=None`. When calling the `.settings()` property of the optimizers after running the optimization, it will return `learning_rate=None` again. However, the effective `learning_rate` is actually [changed](https://github.com/Qiskit/qiskit-terra/blob/deebd5cce63601f5a6bb4aa762baedd9cb4876b3/qiskit/algorithms/optimizers/spsa.py#L501) by the `calibrate` function. Can `self.learning_rate` be updated accordingly? @Cryoris @des137 @mishmash Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: use import_module instead of __import__ Since Python 3.3 it is [_requested_ to use importlib.import_module instead of `__import__`](https://docs.python.org/3/library/importlib.html#importlib.__import__). The reason is not really given, but I guess there are reasons. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: paste into ipython stop working with vi mode this works well: ``` [ins] In [46]: In [41]: s = 'Abc Def Ghi' [ins] In [47]: ``` this does not work. ``` [ins] In [44]: [ins] In [41]: s = 'Abc Def Ghi' ...: ...: File "<ipython-input-44-0af6a6a3f6c4>", line 1 [ins] In [41]: s = 'Abc Def Ghi' ^ SyntaxError: invalid syntax ``` is it possible to configure ipython to also accept transcript under vi mode? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Make http timeouts configurable http://docs.python-requests.org/en/master/user/advanced/#timeouts Also set defaults to 2x current defaults. CC @quasiben Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `dependency('vulkan', version: ['>=1.X.X'])` fails on Windows **Describe the bug** `dependency('vulkan', version: ['>=1.3.0'])` fails on Windows if a version is specified. The Vulkan SDK is installed, and the environment variable (`VULKAN_SDK=C:\VulkanSDK\1.3.250.1`) is set. Edit: The same does work on Linux. **To Reproduce** Install a recent Vulkan SDK (>= 1.3.0) and use this meson.build: ```python project('test-project', 'cpp') # this does not work vulkan = dependency('vulkan', version: ['>=1.3.0']) # this does work # vulkan = dependency('vulkan') executable('test-project', ['main.cpp'], dependencies : [vulkan]) ``` **Expected behavior** Vulkan is detected correctly. **system parameters** * native build * Windows 11 * Python 3.9.13 * Meson 1.2.0 * Ninja 1.11.0 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 jupyterlab/jupyterlab codebase. Here's the problem: Update the mock packages to Jupyter Packaging 0.9 https://github.com/jupyterlab/jupyterlab/pull/10096 updated to `jupyter-packaging~=0.9` for the main setup. But we should also update the mock packages used in tests, for example: https://github.com/jupyterlab/jupyterlab/blob/cf959fab54fe869a93547a04029da7d967830b94/jupyterlab/tests/mock_packages/test-hyphens/pyproject.toml#L2 Especially since the cookiecutter was also updated to `0.9`: https://github.com/jupyterlab/extension-cookiecutter-ts/blob/a80964880c0f1c3fda093d3f35a6400c193eaff8/%7B%7Bcookiecutter.python_name%7D%7D/pyproject.toml#L2 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: add support for linux on s390/s390x https://en.wikipedia.org/wiki/Linux_on_z_Systems In our CI we are running "normal" Linux distributions like Ubuntu and Red Hat on s390/s390x. To publish and fetch packages, we would need support for s390 (31bit, yes, gcc will need -m31) and s390x (64bit). ``` >>> import platform >>> platform.system() 'Linux' >>> platform.machine() 's390x' >>> platform.processor() 's390x' >>> ``` `--build <pattern>` seems not to work When calling `conan help install` it states the following regarding the --build parameter: ``` --build=[pattern] Build always these packages from source, but never build the others. [...] 'pattern' is a fnmatch file pattern of a package name. ``` I would like to install a package and rebuild all of my own packages with it. All of my packages are within the `@monsdar/release` channel. The following seems not to work though: `conan install ... --build *monsdar*`. Conan gives me the message `ERROR: No package matching '*monsdar*' pattern`. Do I do something wrong? Or is this feature not working correctly? This happens with Conan 1.13.0 installed via Pip. Python 3.6.1 on a Windows 10 Professional with 64bit. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: AIP-56 - FAB AM - Role views Move role related views to FAB Auth manager: - List roles - Edit role - Create role - View role Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 `jupyter labextension` more verbose I think the following information would be really helpful to display in `jupyter labextension`: 1. The path to the module 2. If there is a warning (like the semver check failing from #1190), giving a list of the modules that failed it. 3. the necessary files check should display which files are missing 4. has entry could specify which of the conditions it is checking that is false. Basically, it would be very helpful to be explicit about exactly what files we are checking, and what is wrong with them. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Refactor and enhance Schedule traversal methods <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? Enhance and refactor the traversal of schedules. 1. ScheduleComponent should have method `instructions` instead of `flatten` that returns an iterable for all instructions in schedule. 2. `flatten` should return a new schedule with all `instructions` in new schedule. This should be based in `pulse.ops`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Support for scipy.stats.norm.logcdf Hi there, Adding support for `scipy.stats.norm.logcdf` would be very useful to me (for probit in the likelihood). A workaround would be good too. I saw there is `erf`, but I could really do with a log version for numerical reasons. 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 huggingface/transformers codebase. Here's the problem: Error while adding new tokens to GPT2 tokenizer A **NoneType Error** is encountered when I call `add_tokens()` to add new tokens to **GPT2 tokenizer** and the error is as following: ~~~~ File ".../pytorch_transformers/tokenization_utils.py", line 311, in add_tokens if self.convert_tokens_to_ids(token) == self.convert_tokens_to_ids(self.unk_token): File ".../pytorch_transformers/tokenization_utils.py", line 381, in convert_tokens_to_ids for token in tokens: TypeError: 'NoneType' object is not iterable ~~~~ The error comes from that it checks if the word id of a new `token` equals to that of the `unk_token` (as in tokenization_utils.py, line 311) but a **GPT2 tokenizer**'s `unk_token` is `None`. Therefore, the error happens when it tries iterating over `unk_token` in `convert_tokens_to_ids()` (as in tokenization_utils.py, line 381). I think we can solve it by either 1) changing the if-condition in line 311 and not checking the new token's equality to `unk_token` (I also don't quite understand the logic behind checking the equality here) or 2) dealing with `None` input in `convert_tokens_to_ids(self, tokens)`so it returns `[]` if `tokens is None`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Confusion about the meaning of the -L parameter with D compilers Hi! The dmd and ldc D compilers define the `-L` flag as "pass the next command to the linker", while gdc/gcc define it as "set linker search path". So I thought I was smart when translating a passed-in `-L` to a ldc/dmd compiler to `-L-L`, since this will make it work expected from a gcc compiler (= `-L` always sets the linker search path). Unfortunately it now turns out that many people use the `-L` flag as "pass to linker" and even use it in existing pkg-config files, which makes it really hard to change So, I wonder whether I should do some black magic to detect this in the DCompiler classes, or whether we could somehow utilize `get_linker_search_args()` to set linker search paths in a way all compilers understand, and make the to_native argument translation simply not-deal with an already existing `-L` flag (= have the compiler interpret it as it sees fit). Possible uses for `-L` for setting the linker search path is to search for local, precompiled shared or static libraries, e.g. `-Lpath/to/libraries -lfoo` (to find a `libfoo.a` or `libfoo.so` file which doesn't exist system-wide). For using `-L` directly, people use it to e.g. pass linker arguments to a compiler if they expect the compiler to be LDC/DMD. E.g. `-L-lfoo` to link against libfoo. I would prefer to just leave the `-L` flag alone in meson and utilize the `get_linker_search_args` command somehow to allow for a compiler-agnostic way to set linker search paths. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Add license and license_family to MatchSpec for `conda search` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: meson.add_dist_script() in a subproject has MESON_PROJECT_DIST_ROOT == MESON_DIST_ROOT When project https://gitlab.gnome.org/GNOME/mm-common.git is a subproject, and meson.add_dist_script() calls a Python script, and that script reads the environment variable MESON_PROJECT_DIST_ROOT, it's equal to MESON_DIST_ROOT, except for the trailing slash. For instance it's <builddir>/meson-dist/libsigc++-3.0.7/. Should be <builddir>/meson-dist/libsigc++-3.0.7/subprojects/mm-common. I haven't seen this behaviour with other projects as subprojects. To reproduce the error: ``` git clone https://github.com/libsigcplusplus/libsigcplusplus.git cd libsigcplusplus meson --wrap-mode=forcefallback _build . cd _build meson configure -Dmm-common:use-network=true ninja meson dist --include-subprojects --no-tests ``` The dist script subprojects/mm-common/util/meson_aux/extra-dist-cmd.py does not do what it's supposed to do because MESON_PROJECT_DIST_ROOT points to the main project instead of subprojects/mm-common. In the tarball, subprojects/mm-common/ChangeLog should show the latest git commit, and there should be a subprojects/mm-common/doctags/libstdc++.tag file. meson.is_subproject() in mm-common's meson.build shows that mm-common is a subproject. I added some calls to print() in run_dist_scripts() in meson/mesonbuild/mdist.py. subprojects= {'mm-common': 'subprojects/mm-common'}. All dist scripts have d.subproject='', subdir='', even the one that belongs to subprojects/mm-common. I've tested with meson 0.60.3 and 0.61.99. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 referring to images by digest in docker-compose.yml Pulling by image digest is supported since docker 1.6.0 (https://github.com/docker/docker/pull/11109) ``` docker pull busybox@sha256:38a203e1986cf79639cfb9b2e1d6e773de84002feea2d4eb006b52004ee8502d ``` However putting an image digest for a service in `docker-compose.yml` leads to ``` Pulling busybox (busybox@sha256:38a203e1986cf79639cfb9b2e1d6e773de84002feea2d4eb006b52004ee8502d)... Invalid repository name (busybox@sha256), only [a-z0-9-_.] are allowed ``` Sample `docker-compose.yml` ``` service: image: busybox@sha256:38a203e1986cf79639cfb9b2e1d6e773de84002feea2d4eb006b52004ee8502d ``` ``` docker version Client version: 1.7.0 Client API version: 1.19 Go version (client): go1.4.2 Git commit (client): 0baf609 OS/Arch (client): darwin/amd64 Server version: 1.7.0 Server API version: 1.19 Go version (server): go1.4.2 Git commit (server): 0baf609 OS/Arch (server): linux/amd64 ``` ``` docker-compose --version docker-compose version: 1.3.1 CPython version: 2.7.9 OpenSSL version: OpenSSL 1.0.1j 15 Oct 2014 ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Performance Regression Caused by Introduction of Bit Classes <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: Master - **Python version**: Any - **Operating system**: Any ### What is the current behavior? When #2414 was introduced it came with a sizeable performance regression in transpilation. This is best seen here: http://169.61.88.206/#quantum_volume.QuantumVolumeBenchmark.time_ibmq_backend_transpile?p-width=14&p-depth=34&commits=79c44e56 It is typically between ~1.2X and ~1.9X times slower to transpile circuits with #2414 applied. As a follow-on to: https://github.com/Qiskit/qiskit-terra/pull/2499#issuecomment-498268328 there is work to improve the performance introduced by #2414 in progress with #2529 and #2525, but it's not clear from those whether it will return to the prior performance or not. This issue is to track the progress to make sure we fix this prior to the next release. ### Suggested solutions Fix the performance regression. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Add support for differentiation of pseudoinverse Consider the following example: ```python def f(p): a = jnp.array([[0.,0.],[- p, 1.]]) * 1/ (1 + p**2) return jnp.linalg.pinv(a) jax.jacobian(f)(2.) Out[75]: DeviceArray([[nan, nan], [nan, nan]], dtype=float32) ``` So it returns `nan` values, whereas the correct values are ``` array( [[0., -1.], [ 0., 0.]]) ``` Oddly enough, jax is able to handle this function correctly: ```python def f2(p): a = jnp.array([[- p, 1.]]) * 1/ (1 + p**2) return jnp.linalg.pinv(a) In [77]: jax.jacobian(f)(2.) Out[77]: DeviceArray([[-0.99999976], [ 0. ]], dtype=float32) ``` Thoughts: 1. ~~f2 returns nd arrays and jax.jacobian seems not to handle those cases to well (probably should open another issue for that)~~ (this seems to be fixed in recent versions though) 2. There is a closed formula for the derivative of the pseudoinverse which uses the derivative of the original array: https://en.wikipedia.org/wiki/Moore%E2%80%93Penrose_inverse#Derivative Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: linspace floats I'm not sure if it's a bug or intended behavior, but may it make sense to obtain the same result in the two following linspace examples? ``` Python 2.7.9 (default, Mar 1 2015, 12:57:24) [GCC 4.9.2] on linux2 >>> import numpy >>> numpy.version.version '1.12.0.dev0+bd905a8' >>> numpy.linspace(2.0, 3.0, num=5) array([ 2. , 2.25, 2.5 , 2.75, 3. ]) >>> numpy.linspace(2.0, 3.0, 0.25) array([], dtype=float64) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: subdag doesn't work with LocalExecutor/SequentialExecutor I'm working with Airflow 1.6.2 on OSX; When running SubdagOperator using LocalExecutor/SequentialExecutor, it always hit the exception of "DAG {sub_dag_name} could not be found in {dag_folder}'", from https://github.com/airbnb/airflow/blob/master/airflow/bin/cli.py#L159 It looks to me that with LocalExecutor/SequentialExecutor, dags are not pickled, so when subdag operator uses backfill_job to execute subdag as a dag, it always tries to load the subdag from dag folder, which causes error because we hide the subdag using a factory method. (follow http://pythonhosted.org/airflow/concepts.html#subdags) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Support project-provided lcovrc script for lcov coverage lcov has various options for excluding certain lines, directories and functions. In particular, I would like to be able to exclude certain function calls from branch coverage since they are assertions which it makes no sense to test. This uses the `lcov_excl_br_line` option ([example in GLib](https://gitlab.gnome.org/GNOME/glib/blob/master/.gitlab-ci/lcovrc)). Since that kind of configuration is quite highly project dependent, and needs to be repeated in all the `lcov` commands, I think it might make sense to allow the project to provide an `lcovrc` file which would get passed to all the `coverage.py` `lcov` commands using `--config-file path/to/lcovrc`. Failing that, it would be useful to be able to pass custom arguments to `lcov` so that projects could at least pass `--config-file` (or excl options) themselves. Add the function exclude_from_coverage() The function exclude_from_coverage() allow to pass a list of patterns to exclude them from the code coverage computation. I am not sure that this code is optimal, so feel free to come with remarks and things to fix in order to make it better. This patch is intended to fix issue #3287. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Incorrect Document Content in BlenderBot Tokenizer `The BlenderBot tokenizer has been trained to treat spaces like parts of the tokens (a bit like sentencepiece) so a word will be encoded differently whether it is at the beginning of the sentence (without space) or not.` However, the examples in BlenderBot Tokenizer (`BlenderbotTokenizer`) are the same: https://github.com/huggingface/transformers/blob/bd469c40659ce76c81f69c7726759d249b4aef49/src/transformers/models/blenderbot/tokenization_blenderbot.py#L105 The same issue also occurs in `BlenderbotTokenizerFast`: https://github.com/huggingface/transformers/blob/bd469c40659ce76c81f69c7726759d249b4aef49/src/transformers/models/blenderbot/tokenization_blenderbot_fast.py#L64 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: SIMD: The --cpu-baseline is not correctly configured in benchmark system. I'm trying to use the newest benchmark system to test the performance, but found out that the option is not working. here is the command that used for benchmarking. ``` python runtests.py --cpu-baseline="avx2" --bench-compare master bench_linalg.Einsum.time_einsum_multiply ``` in this case, the macro `NPY_SIMD `should be 256 because my machine support `avx2 `intrinsics, but the actual value is 128, which is the default minimal settings. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Support for git describe --tags in tools.Git In our CI release flow, we'd like to number Conan packages based on a git tag applied in our repo. Right now if I apply a tag ```0.0.8```, then fetch that and and use ```git branch``` I see: ``` $ git branch * (HEAD detached at 0.0.8) ``` whereas if I use ```git describe --tags``` I see: ``` 0.0.8 ``` I'd like to be able to use ```0.0.8``` as the Conan package version. If I try using the example from https://docs.conan.io/en/latest/howtos/capture_version.html, namely: ``` return "%s_%s" % (git.get_branch(), git.get_revision()) ``` on that checked out tag I see: ``` E:\DevelopBp\mmaguir1\src\nx\replicant>conan create . PORT/stable version[HEAD (no branch)_0dfb63c9c341536e528ef63f2e66746cf83c8539] ERROR: Value provided for package version, 'HEAD (no branch)_0dfb63c9c341536e528ef63f2e66746cf83c8539' (type Version), is too long. Valid names must contain at most 51 characters. ``` Alternatively, if there's some magic combination of the existing [Git tools](https://docs.conan.io/en/latest/reference/tools.html#tools-git) that will let me retrieve that tag name, that would be much appreciated! Related: https://github.com/conan-io/conan/issues/548 "generating version from git" https://github.com/conan-io/conan/issues/1764 "Add Git helpers" 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). - [v1.8.4 Windows Server 2012 git 2.12.1] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: versions after .5.2.1 do not print weights summary ubuntu 18.04.3lts, no virtual environment Model summary is not printed in versions .5.3, .5.3.1, and .5.3.2. trainer.weights_summary is set to 'full', but nothing is printed on screen. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Drop Python 2 Support? Given that IPython 6 is Python 3-only, JupyterHub is Python 3-only, and the fact that Notebook is scheduled be Python 3-only in its next release, it makes sense for this library to follow suit. From the IPython 6 [blog post](http://blog.jupyter.org/2017/04/19/release-of-ipython-6-0/): "As the Jupyter protocol is language agnostic, it is perfectly possible to run Python 2 code in a Python 2 kernel using a Notebook Server running on Python 3. Especially since JupyterHub already requires Python 3, we envisage that the single-user notebook server will follow suit soon." Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Return errorcode 6 when settings are constrained to not support the current environment There are two approaches to restrict the environment a recipe is working for: [Constrain Settings and Options](https://docs.conan.io/en/latest/mastering/conditional.html?highlight=conaninvalidconfiguration#constrain-settings-and-options) When using the first approach and raising a `ConanInvalidConfiguration` Conan returns with errorcode 6. This could be further processed by scripts/CI perfectly. However the second approach with constraining the settings does not return with errorcode 6, but results in an [error](http://docs.conan.io/en/latest/faq/troubleshooting.html#error-invalid-setting) and errorcode 1 instead. Is there a reason why both return with different behaviour? It would be perfect if both would return with errorcode 6, so developers could use both methods and scripts/CI can react on that in the same way. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Some weights of AlbertModel were not initialized ['albert.embeddings.position_ids'] Hello! There seems to be a problem with the current code to load a pre-trained Albert model. This warning appears in any configuration of the Albert model: `Some weights of AlbertModel were not initialized from the model checkpoint at albert-base-v2 and are newly initialized: ['albert.embeddings.position_ids']` `You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.` I found this happens only when I install it from the source. Models load correctly (without warning) when installing the library with pip. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: GoogleCampaignManagerInsertReportOperator Fails when using Templated Reports The GoogleCampaignManagerInsertReportOperator fails with the following 400 error when attempting to insert a report rendered from a file template: > HttpError 400 when requesting https://www.googleapis.com/dfareporting/v3.3/userprofiles/*******/reports?alt=json returned "Report type needs to be set." Appears the issue is that Jinja templates will always render as a String but the operator is expecting a Dictionary (representing the JSON object). Here's a sample call: ``` GoogleCampaignManagerInsertReportOperator( task_id="create_report", gcp_conn_id=self.config.get("gcp_connection_id"), profile_id=self.config.get("cm_profile_id"), report="./resources/reports/cm_report.json", params=report_params, dag=self.dag) ``` Relevant Code: https://github.com/apache/airflow/blob/096f5c5cba963b364ee75f6686d128cd4d34d66e/airflow/providers/google/marketing_platform/operators/campaign_manager.py#L287 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Wrong cpu detection for 'x86_64' windows In ‘x64 Native Tools Command Prompt for VS 2017’, the cpu detected by meson is 'x86' ？ ``` shell ********************************************************************** ** Visual Studio 2017 Developer Command Prompt v15.9.16 ** Copyright (c) 2017 Microsoft Corporation ********************************************************************** [vcvarsall.bat] Environment initialized for: 'x64' ``` ```shell D:\opt\glib-2.62.2\_build>meson .. --buildtype=release --prefix="D:\opt\glib\" The Meson build system Version: 0.52.0 Source dir: D:\opt\glib-2.62.2 Build dir: D:\opt\glib-2.62.2\_build Build type: native build Project name: glib Project version: 2.62.2 C compiler for the host machine: cl (msvc 19.16.27034) C linker for the host machine: link 19.16.27034 C++ compiler for the host machine: cl (msvc 19.16.27034) C++ linker for the host machine: link 19.16.27034 Host machine cpu family: x86 Host machine cpu: x86 ``` And I tried in vs2013 , 2015, got the same result. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Language: typo ("spech") in Natural Language samples #### Environment details N/A #### Steps to reproduce N/A #### Code example Comments say "Parts of spech" instead of "Parts of speech" https://github.com/googleapis/google-cloud-python/blob/master/language/samples/v1/language_syntax_gcs.py#L67 https://github.com/googleapis/google-cloud-python/blob/master/language/samples/v1/language_syntax_text.py#L66 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Complex custom FindXXX.cmake example or generator? Conan manual explains [how to create a custom FindXXX.cmake file](http://docs.conan.io/en/latest/integrations/cmake/find_packages.html#creating-a-custom-findxxx-cmake-file). Basically it's ```cmake find_path(ZLIB_INCLUDE_DIR NAMES zlib.h PATHS ${CONAN_INCLUDE_DIRS_ZLIB}) find_library(ZLIB_LIBRARY NAMES ${CONAN_LIBS_ZLIB} PATHS ${CONAN_LIB_DIRS_ZLIB}) set(ZLIB_FOUND TRUE) set(ZLIB_INCLUDE_DIRS ${ZLIB_INCLUDE_DIR}) set(ZLIB_LIBRARIES ${ZLIB_LIBRARY}) mark_as_advanced(ZLIB_LIBRARY ZLIB_INCLUDE_DIR) ``` Unfortunately it only works for simple packages consisting of one lib file with no dependencies. If your package need to link multiple lib files you end up with something like [FindBoost.cmake](https://github.com/bincrafters/conan-cmake_findboost_modular/blob/stable/1.66.0/FindBoost.cmake) My question is: can we create something standard enough for that purpose? Maybe to add a function to `conans.tools` that will generate FindXXX.cmake using conan cpp_info/dep_cpp_info? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 4.4 can fail to update packages For example, start with a fresh install of Anaconda3, and then `conda update anaconda-client` doesn't update, even though a new anaconda-client package exists. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Fix flatten option type hint for consistency For consistency with the rest of the signature (also the `Optional` import would need to be removed 🙂) ```suggestion flatten: bool | None = None, ``` _Originally posted by @Cryoris in https://github.com/Qiskit/qiskit-terra/pull/10269#discussion_r1269640303_ In #10269 the type hints added for the new flatten option were using `Optional[bool]` it should instead be `bool | None`. This should be fixed for the final 0.25.0 release. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: Compilations performed to instantiate lazy constants aren't cached [This compilation](https://github.com/google/jax/blob/master/jax/interpreters/xla.py#L895) isn't cached anywhere, so code like the following: ```python big_lazy_x = jnp.ones((jax.device_count(), 1e6)) for _ in range(100): _ = pmap(lambda x: x)(big_lazy_x) ``` will result in one compilation per device per step of the function that instantiates `big_lazy_x`. This should be fixed by the new lazy infra (#1668). jit does not respect backend type when the function has no arguments Example: ``` from jax.api import jit import jax.random as random def x(): return random.normal(random.PRNGKey(1), (2, 3)) x().device_buffer.device() jit(x)().device_buffer.device() jit(x, backend='cpu')().device_buffer.device() ``` All these output `GpuDevice(id=0)`, while the last one should be CPU. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Modify a copy of instruction instead of the same instance in circuit.data in QuantumCircuit.qasm() method. <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? In `QuantumCircuit.qasm()` method, when id is added to the instruction name to make it unique if it is the same as an existing instruction. See: https://github.com/Qiskit/qiskit-terra/blob/34b8079844fb19ee719015681184233afb4f9f72/qiskit/circuit/quantumcircuit.py#L1465-L1468 It currently modifies the circuit data directly, which is not ideal. We could just store a copy of the instruction where we modified the name instead of storing the same instance that lives in circuit.data. See comment here by @Cryoris: https://github.com/Qiskit/qiskit-terra/pull/5887#discussion_r664023701 Modify a copy of instruction instead of the same instance in circuit.data in QuantumCircuit.qasm() method. <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? In `QuantumCircuit.qasm()` method, when id is added to the instruction name to make it unique if it is the same as an existing instruction. See: https://github.com/Qiskit/qiskit-terra/blob/34b8079844fb19ee719015681184233afb4f9f72/qiskit/circuit/quantumcircuit.py#L1465-L1468 It currently modifies the circuit data directly, which is not ideal. We could just store a copy of the instruction where we modified the name instead of storing the same instance that lives in circuit.data. See comment here by @Cryoris: https://github.com/Qiskit/qiskit-terra/pull/5887#discussion_r664023701 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Inconsistency in whether gates accept labels <!-- ⚠ 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**: 0.19.dev - **Python version**: all - **Operating system**: all ### What is the current behavior? Not all defined `Gate` classes accept a label in their initialiser (e.g. `RXXGate`), and `QubitCircuit` is quite inconsistent on whether instruction methods accept a label: maybe about half (e.g. `QubitCircuit.x`) do, and about half (e.g. `QubitCircuit.h`) don't. ### Steps to reproduce the problem ```python >>> qc = QuantumCircuit(1) >>> qc.x(0, label="my_x") <qiskit.circuit.instructionset.InstructionSet object at 0x7f9d60df81c0> >>> qc.h(0, label="my_h") Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: h() got an unexpected keyword argument 'label' ``` ```python >>> from qiskit.circuit.library import HGate, RZZGate >>> HGate(label="my_h") <qiskit.circuit.library.standard_gates.h.HGate object at 0x7f9d90e77040> >>> RZZGate(0, label="my_rzz") Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: __init__() got an unexpected keyword argument 'label' ``` ### What is the expected behavior? Consistency. ### Suggested solutions Add the label kwarg everywhere. *edit*: this is a partial duplicate of #5098. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: oct2py v >= 0.3.1 doesn't need h5py anymore The octave magic docs/examples should update this information. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: set_custom_completer seems to be a no-op In [interactive_shell.py](https://github.com/ipython/ipython/blob/a2685d78f2403f84e6cb915ae11a4f6033ccc5f6/IPython/core/interactiveshell.py#L2034), `set_custom_completer` does self.Completer.matchers.insert(pos,newcomp) Looking at the source code of IPCompleter, though, [matchers](https://github.com/ipython/ipython/blob/eed56ba34aa3856b5726d60eedfe60a17e1c26c5/IPython/core/completer.py#L1114) seems to be a property returning an ephemeral list, so the insert is a no-op. To reproduce: import IPython def foo(*args, **kwargs): pass print(len(IPython.get_ipython().Completer.matchers)) IPython.get_ipython().set_custom_completer(foo, 0) print(len(IPython.get_ipython().Completer.matchers)) This should print the same number twice (in my version, 5, 5) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Swarm network can't use in docker-compose.yml I have two machines, In A, I crate the overlay network : `docker network create --driver overlay --attachable --subnet 172.40.0.0/16 docker3` In other machine, I want use it in the docker-compose.yml ``` networks: docker3: external: name: docker3 ``` and then I use command `docker-compose up -d` the result is ` ERROR: Network docker3 declared as external, but could not be found. Please create the network manually using docker network create docker3 and try again.` but I can use it in machines A, and use `docker run -d --net=docker3` in machines B Docker version 1.13.1 docker-compose version 1.11.2 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: DISCUSSION: Should dataset ID be set on datastore key? This question came up in the review in #282 while trying to define the "correct" behavior of `datastore.Key.__eq__`. The only remaining use of `Key._dataset_id` is in [`to_protobuf`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/b6d3e74a48e8554804ea3d33f53385bbbdb5c4b7/gcloud/datastore/key.py#L53) but #121 seems to indicate that the dataset ID is not needed on a `Key`. ISTM we should just remove `_dataset_id` from the `Key` class, even though it is returned in the protobuf after an entity is stored/retrieved. @pcostell WDYT? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 Endpoints - Read-only - XCOM **Description** Hello We need to create several endpoints that perform basic read-only operations on **XCOM** . We need the following endpoints: - GET /dags/{dag_id}/taskInstances/{task_id}/{execution_date}/xcomValues - GET /dags/{dag_id}/taskInstances/{task_id}/{execution_date}/xcomValues/{key} For now, we focus only on read-only operations, but the others will also be implemented as the next step. Detailed information is available in the issue: https://github.com/apache/airflow/issues/8118 **Use case / motivation** N/A **Related Issues** N/A Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: When auto_sceale_batch_size and auto_lr_find are both enabled, lr find is called with every batch search is this a bug or feature? I think lr find should be called after batch size search is done. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: boost library directory on Windows when binaries for more than one toolset version are installed On Windows I have installed the boost binaries for all combinations of architectures (32-bit/64-bit) and toolset versions (14.0/14.1) so in `C:\Program Files\boost\boost_1_65_1` I have four library directories: - lib32-msvc-14.0 - lib32-msvc-14.1 - lib64-msvc-14.0 - lib64-msvc-14.1 when started in a x64 native tools command prompt for VS 2017, meson thinks it has found the Boost library directory as `C:\Program Files\boost\boost_1_65_1\lib64-msvc-14.0` whereas it should be `C:\Program Files\boost\boost_1_65_1\lib64-msvc-14.1` The [code](https://github.com/mesonbuild/meson/blob/master/mesonbuild/dependencies/misc.py#L256) is using globbing to find the first one, there is even a **FIXME** note; would it make sense to use [`compiler.c.get_toolset_version`](https://github.com/mesonbuild/meson/blob/master/mesonbuild/compilers/c.py#L1063) for that ? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: NumPy 1.17 RC fails to compile with Intel C Compile 2016 <!-- Please describe the issue in detail here, and fill in the fields below --> Compiling NumPy 1.17.0rc2 sources with Intel C Compiler 2016, which does not yet implement `__builtin_cpu_supports("avx512f")` fails with compilation error: ``` icc: numpy/core/src/umath/cpuid.c numpy/core/src/umath/cpuid.c(63): catastrophic error: invalid use of '__builtin_cpu_supports' compilation aborted for numpy/core/src/umath/cpuid.c (code 1) ``` Recent Intel C compiler (2019) proceeds just fine. There is config test to probe compiler for support of `__builtin_cpu_supports`, but the the test does not discriminate between supported arguments. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Incorrect documentation for CSWAP gate <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.17.0 - **Python version**: 3.8.8 - **Operating system**: Windows 8.1 ### What is the current behavior? The documentation for CSWAP gate incorrectly mentions it as a controlled-X gate. ### Steps to reproduce the problem See https://qiskit.org/documentation/stubs/qiskit.circuit.library.CSwapGate.html and here as well: https://qiskit.org/documentation/apidoc/circuit_library.html ### What is the expected behavior? The documentation should say that it is the controlled swap gate. ### Suggested solutions Update the appropriate docstring. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [docs] XLnet reference link bug in description of past_index Parameter of TrainingArguments XLnet reference link bug in description of past_index Parameter of TrainingArguments link to the doc: https://huggingface.co/transformers/main_classes/trainer.html#transformers.TrainingArguments **current description:** Some models like TransformerXL or **:doc`XLNet <../model_doc/xlnet>`** can make use of the past hidden states for their predictions. If this argument is set to a positive int, the Trainer will use the corresponding output (usually index 2) as the past state and feed it to the model at the next training step under the keyword argument mems. **expected description:** Some models like TransformerXL or **XLNet** can make use of the past hidden states for their predictions. If this argument is set to a positive int, the Trainer will use the corresponding output (usually index 2) as the past state and feed it to the model at the next training step under the keyword argument mems. ## Environment info Not required <!-- 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! --> ### Who can help @sgugger <!-- Your issue will be replied to more quickly if you can figure out the right person to tag with @ If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**. Please tag fewer than 3 people. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Crash handler initialization is too aggressive We currently initialize the crash-handler first, before instantiating any classes. This means that any errors in startup will get a massive, largely meaningless, crash report, that obscures relevant information more than it helps. We should probably initialize the crash-handler _very last_, as part of the Application.start method, so that startup errors are raised as simple exceptions, rather than crashes. For instance, it's trivially easy to crash IPython right now, by simply giving invalid values for configurables: ``` ipython --colors=bananaphone ``` The crash report gives the incorrect impression that IPython has done something 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: Multiprocessing semantics in parallel.view.map I have a script that is executed using either - the builtin map - using multiprocessing map - IPython view.map. This is very convenient because I can easily debug and test scripts, as well as run the same script unchanged in different installations. However, the semantics of map is different. While in multiprocessing a generator is accepted, in IPython is not (fails when it tries to take the length of the generator). Insider multiprocessing, the following code converts a generator to a list: ``` if not hasattr(iterable, '__len__'): iterable = list(iterable) ``` I do not really like this behavior (`Explicit is better than implicit`), but having the same semantics is convenient. So, my questions are: 1.- Is it possible to have a `map` that does not require to know in advance the number of tasks? 2.- If not, what do you think about using the same semantics that `multiprocessing`? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: print some message when installing that there is nothing to install ``` $ meson --prefix=/tmp/tmp The Meson build system Version: 0.34.0 Source dir: /home/zeenix/progs/meson Build dir: /home/zeenix/progs/meson/build Build type: native build Build machine cpu family: x86_64 Build machine cpu: x86_64 Project name: tutorial Native c compiler: ccache cc (gcc 6.2.1) Appending LDFLAGS from environment: '-L/jhbuild/lib ' Found pkg-config: /usr/bin/pkg-config (0.29) Native dependency gtk+-3.0 found: YES 3.22.1 Build targets in project: 1 [zeenix@zeelaptop build]$ ninja-build install -v [1/3] ccache cc '-Idemo@exe' '-fdiagnostics-color=always' '-I..' '-I.' '-pipe' '-Wall' '-Winvalid-pch' '-O0' '-g' '-pthread' '-I/jhbuild/include/gtk-3.0' '-I/jhbuild/include/at-spi2-atk/2.0' '-I/jhbuild/include/at-spi-2.0' '-I/jhbuild/include/gtk-3.0' '-I/jhbuild/include/gio-unix-2.0/' '-I/jhbuild/include/pango-1.0' '-I/jhbuild/include/harfbuzz' '-I/jhbuild/include/pango-1.0' '-I/jhbuild/include/atk-1.0' '-I/jhbuild/include/gdk-pixbuf-2.0' '-I/jhbuild/include/glib-2.0' '-I/jhbuild/lib/glib-2.0/include' '-I/usr/include/dbus-1.0' '-I/usr/lib64/dbus-1.0/include' '-I/usr/include/cairo' '-I/usr/include/pixman-1' '-I/usr/include/freetype2' '-I/usr/include/libpng16' '-I/usr/include/freetype2' '-I/usr/include/libdrm' '-I/usr/include/libpng16' '-MMD' '-MQ' 'demo@exe/main.c.o' '-MF' 'demo@exe/main.c.o.d' -o 'demo@exe/main.c.o' -c ../main.c [2/3] ccache cc -o demo 'demo@exe/main.c.o' '-Wl,--no-undefined' '-Wl,--as-needed' '-L/jhbuild/lib' '-L/jhbuild/lib' '-lgtk-3' '-lgdk-3' '-lpangocairo-1.0' '-lpango-1.0' '-latk-1.0' '-lcairo-gobject' '-lcairo' '-lgdk_pixbuf-2.0' '-lgio-2.0' '-lgobject-2.0' '-lglib-2.0' [2/3] '/usr/bin/python3' '/usr/bin/meson' '--internal' 'install' '/home/zeenix/progs/meson/build/meson-private/install.dat' [zeenix@zeelaptop build]$ ls /tmp/tmp/ ``` This doesn't help. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Compile and execute use a progress bar even if a single circuit is passed. <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations - **Qiskit Terra version**: master - **Python version**: 3.7 - **Operating system**: OSX ### What is the current behavior? The `compile` and `execute` functions make use of a progress bar for a single circuit. ### Steps to reproduce the problem ``` from qiskit import * from qiskit.tools.jupyter import TextProgressBar q = QuantumRegister(2) c = ClassicalRegister(2) qc = QuantumCircuit(q, c) qc.h(q[0]) qc.cx(q[0], q[1]) qc.measure(q, c) backend = Aer.get_backend('qasm_simulator') TextProgressBar() qobj = compile([qc], backend) ``` ### What is the expected behavior? A progress bar should not be used for a single circuit. ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Visual studio default build project The first declared project in the visual studio solutions file is the "start-up" project, i.e. the default project. Should we have a `BUILD_ALL` project as the default project like cmake has? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: RFE: please provide color output in the tests listing With a long listing, it'd be nice to have the failing test name highlighted in red, and skipped test name highlighted in yellow, so it's easier to immediately see which tests were affected without looking at the result column. Also, this makes it easier to notice if anything 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 jupyterlab/jupyterlab codebase. Here's the problem: Upgrading JupyterLab to 0.34.1 causes crash on startup I tried to update the version of Jupyter Lab with conda, and after installing 0.34.1. the application does not start anymore, with the following error message appearing after any jupyter lab command: ``` >>> jupyter lab Traceback (most recent call last): File "/Users/vilimstich/anaconda3/bin/jupyter-lab", line 7, in <module> from jupyterlab.labapp import main File "/Users/vilimstich/anaconda3/lib/python3.6/site-packages/jupyterlab/labapp.py", line 32, in <module> app_version = get_app_version() File "/Users/vilimstich/anaconda3/lib/python3.6/site-packages/jupyterlab/commands.py", line 343, in get_app_version handler = _AppHandler(app_dir) File "/Users/vilimstich/anaconda3/lib/python3.6/site-packages/jupyterlab/commands.py", line 381, in __init__ self.info = self._get_app_info() File "/Users/vilimstich/anaconda3/lib/python3.6/site-packages/jupyterlab/commands.py", line 804, in _get_app_info info['extensions'] = extensions = self._get_extensions(core_data) File "/Users/vilimstich/anaconda3/lib/python3.6/site-packages/jupyterlab/commands.py", line 1068, in _get_extensions extensions = self._get_extensions_in_dir(self.sys_dir, core_data) File "/Users/vilimstich/anaconda3/lib/python3.6/site-packages/jupyterlab/commands.py", line 1094, in _get_extensions_in_dir url = data['repository'].get('url', '') AttributeError: 'str' object has no attribute 'get' ``` Reverting to 0.33.8 fixes the problem. I am running OS X. Can you help me debug this systematically and explain your reasoning?