[System] You are an expert software 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: Can't break exception chaining with 'from None' In plain Python: ``` >>> try: ... 1/0 ... except ZeroDivisionError: ... raise ValueError("foo") from None ... Traceback (most recent call last): File "<stdin>", line 4, in <module> ValueError: foo ``` Same code in IPython produces: ``` --------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) <ipython-input-2-68918cb585bc> in <module>() 1 try: ----> 2 1/0 3 except ZeroDivisionError: ZeroDivisionError: division by zero During handling of the above exception, another exception occurred: ValueError Traceback (most recent call last) <ipython-input-2-68918cb585bc> in <module>() 2 1/0 3 except ZeroDivisionError: ----> 4 raise ValueError("Noooo") from None ValueError: Noooo ``` Thanks @jhamrick for pointing this out Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: BeeGFS hard-links [BeeGFS](http://www.beegfs.com), a parallel cluster file system, [does not support](https://groups.google.com/forum/#!topic/fhgfs-user/cTJcqGZceVA) `hard-links` between files in differents directories. Depending on the [configuration](https://groups.google.com/forum/#!topic/fhgfs-user/pvQSo0QWicw), either an error is issued, or a `symbolic-link` is created. If a `symbolic-link` is created instead of a `hard-link`, it can cause problem, for example: ``` pkgs/bin/mpicc pkgs/lib/libopen-pal.so envs/bin/mpicc envs/lib/libopen-pal.so ``` Here, when `envs/bin/mpicc` is executed, it is actually `pkgs/bin/mpicc` that is executed, and the library `$PREFIX/../lib/libopen-pal.so` actually loaded is `pkgs/lib/libopen-pal.so,` which is different from `envs/lib/libopen-pal.so` for which conda has fixed hard-coded prefix path, and as a final consequence `mpicc` fails to find its configuration file. #805 is another (closed) related to `BeeGFS`. Would we need a new conda options to turn hard-link into copy? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: llvm dependency fails to locate llvm-config on fedora 30 ``` llvm-config found: NO need '>= 3.5' Dependency LLVM found: NO (tried config-tool) src/plugins/clang/meson.build:47:0: ERROR: Dependency "llvm" not found, tried config-tool ``` Apparently, the tool has been named something rather odd now, 'llvm-config-64', which seems to differ from other naming schemes in `dependencies.py`. ``` rpm -q --whatprovides /usr/bin/llvm-config-64 llvm-devel-8.0.0-0.4.rc3.fc30.x86_64 ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Line magic function `%R` not found. (Rmagic) The documentation page could quickly remind that "%load_ext rmagic" is required before anything. http://ipython.org/ipython-doc/dev/config/extensions/rmagic.html (it is the case on the page for the extension autoreload) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: llvm: Allow using cmake for dependency We know have a cmake dependency finder, and LLVM can be found using cmake. It should be possible to find LLVM using cmake, for mesa there are some caveats for it's use but this should be investigated and turned on. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda env update : does not support --prefix The `conda env update` does not support the `--prefix` / `-p` argument. ``` $ conda info | grep version conda version : 4.2.12 conda-env version : 4.2.12 conda-build version : 1.20.3 python version : 2.7.11.final.0 requests version : 2.10.0 $ conda env update -p ./conda-env usage: conda-env [-h] {attach,create,export,list,remove,upload,update} ... conda-env: error: unrecognized arguments: -p ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: qt5 module generates broken target if moc-qt5 is not installed When building `gst-plugins-base` while `moc-qt5` is not installed on the system I get: ``` Traceback (most recent call last): File "/home/jenkins/workspace/meson/mesonbuild/mesonmain.py", line 282, in run app.generate() File "/home/jenkins/workspace/meson/mesonbuild/mesonmain.py", line 169, in generate g.generate(intr) File "/home/jenkins/workspace/meson/mesonbuild/backend/ninjabackend.py", line 184, in generate self.generate_target(t, outfile) File "/home/jenkins/workspace/meson/mesonbuild/backend/ninjabackend.py", line 257, in generate_target self.generate_custom_generator_rules(target, outfile) File "/home/jenkins/workspace/meson/mesonbuild/backend/ninjabackend.py", line 1360, in generate_custom_generator_rules self.generate_genlist_for_target(genlist, target, outfile) File "/home/jenkins/workspace/meson/mesonbuild/backend/ninjabackend.py", line 1406, in generate_genlist_for_target elem.write(outfile) File "/home/jenkins/workspace/meson/mesonbuild/backend/ninjabackend.py", line 116, in write if quote_char == '"': File "/home/jenkins/workspace/meson/mesonbuild/backend/ninjabackend.py", line 35, in ninja_quote return text.replace(' ', '$ ').replace(':', '$:') AttributeError: 'NoneType' object has no attribute 'replace' ``` basically because the target genrated [here](https://phabricator.freedesktop.org/diffusion/GSTBASE/browse/master/tests/examples/overlay/meson.build;c8c834e4a1361149b373694c502279a3a39dbb2a$21) is broken with `None` as first argument Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Task mapping against 'params' ### Apache Airflow version 2.3.1 (latest released) ### What happened Importing a DAG using `PostgresOperator` with `expand(params=[...])` fails, claiming `params` was already specified as a partial argument, even though it wasn't. ### What you think should happen instead The DAG imports successfully. ### How to reproduce ```python from pathlib import Path import pendulum from airflow.providers.postgres.operators.postgres import PostgresOperator from airflow.decorators import dag, task @dag( start_date=pendulum.datetime(2021, 11, 19, tz="UTC"), schedule_interval="@daily", catchup=False, ) def test(): query_values = [{"a": 1}, {"a": 2}] PostgresOperator.partial( task_id="simple_select", sql="SELECT {{ params.a }}", ).expand(params=query_values) test_dag = test() ``` Exception during import: ``` Broken DAG: [/usr/local/airflow/dags/test_dag.py] Traceback (most recent call last): File "/usr/local/lib/python3.9/site-packages/airflow/models/mappedoperator.py", line 199, in expand prevent_duplicates(self.kwargs, mapped_kwargs, fail_reason="mapping already partial") File "/usr/local/lib/python3.9/site-packages/airflow/models/mappedoperator.py", line 139, in prevent_duplicates raise TypeError(f"{fail_reason} argument: {duplicated_keys.pop()}") TypeError: mapping already partial argument: params ``` ### Operating System macOS 12.4 ### Versions of Apache Airflow Providers ```apache-airflow-providers-postgres==4.1.0``` ### Deployment Astronomer ### Deployment details _No response_ ### Anything else _No response_ ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: run_circuits is using a hardcoded sleep when checking job status ### Environment - **Qiskit Terra version**: `main` branch - **Python version**: n/a - **Operating system**: n/a ### What is happening? The qiskit `run_circuits` utility is using a hard-coded sleep when it waits to check the job status here https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/utils/run_circuits.py#L219. ### How can we reproduce the issue? _The issue has to do with using a hard-coded value when there is a configured value that can be used instead._ ### What should happen? The code should instead use `qjob_config["wait"]` which comes from the `QuantumInstance` [constructor](https://github.com/Qiskit/qiskit-terra/blob/main/qiskit/utils/quantum_instance.py#L168) and which can be made available to the code in run_circuits. ### 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 huggingface/transformers codebase. Here's the problem: Add depth estimation pipeline ### Feature request We currently have 2 monocular depth estimation models in the library, namely [DPT](https://huggingface.co/docs/transformers/model_doc/dpt) and [GLPN](https://huggingface.co/docs/transformers/model_doc/glpn). It would be great to have a pipeline for this task, with the following API: ``` from transformers import pipeline pipe = pipeline("depth-estimation") pipe("cats.png") ``` This pipeline could default to the https://huggingface.co/Intel/dpt-large checkpoint. Also check out the [Space](https://huggingface.co/spaces/nielsr/dpt-depth-estimation) that showcases the model. This can be implemented similar to [other pipelines](https://github.com/huggingface/transformers/tree/main/src/transformers/pipelines). For an example PR that added a pipeline, see https://github.com/huggingface/transformers/pull/11598. ### Motivation Pipelines are a great way to quickly perform inference with a model for a given task, abstracting away all the complexity. ### Your contribution I can assist with this, together with @Narsil. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: check.is_str is problematic The issue here is that every other check method throws on failure, and `is_str` returns true or false. Note the different in behavior between `is_str` and `is_list`. I believe the the best fix would be to move `is_str` to dagster.utils, where the is prefix can more credibly mean returns True or False. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: END key inserts autosuggestion in the middle of a line Hitting END in the middle of a line inserts an autosuggestion at the cursor instead of the end of the line. From a new IPython profile (hence ensuring no history), type these keystrokes: ``` 123456789<Enter> 123456<End><Enter> 123456<Left arrow><Left arrow><Left arrow><End><Enter> ``` This produces the transcript: ``` In [1]: 123456789 Out[1]: 123456789 In [2]: 123456789 Out[2]: 123456789 In [3]: 123789456 Out[3]: 123789456 ``` Actual behavior: The final input is "123789456", which wasn't present in the history before. Expected behavior: Hitting END when the cursor is in the middle of "123456" should either leave the input as-is, or transform it to "123456789". @meeseeksdev autosuggestions Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: transpile() hung up when running with multiple circuits and custom pass manager <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### What is the current behavior? On Mac OS machine, `transpile()` hung up in `parallel_map` when it runs with multiple circuits and custom pass manager. ### Steps to reproduce the problem ``` from qiskit import QuantumCircuit, Aer, transpile from qiskit.transpiler.coupling import CouplingMap from qiskit.transpiler.pass_manager_config import PassManagerConfig from qiskit.transpiler.preset_passmanagers import level_0_pass_manager qc = QuantumCircuit(2, 2) qc.h(0) qc.cx(0, 1) backend = Aer.get_backend('qasm_simulator') pm_conf = PassManagerConfig( initial_layout=None, basis_gates=['u1', 'u2', 'u3', 'cx'], coupling_map=CouplingMap([[0, 1]]), backend_properties=None, seed_transpiler=1 ) pm = level_0_pass_manager(pm_conf) transpiled = transpile([qc, qc], backend=backend, pass_manager=pm) ``` Note: No problem in the single circuit case `transpile(qc, backend=backend, pass_manager=pm)` or when specifying the same preset pass manager via optimization_level `transpile([qc, qc], backend=backend, optimizaton_level=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 ipython/ipython codebase. Here's the problem: QTConsole tooltip logic chooses wrong object to print infomation about Moved from #6726 as requested The tooltip shifts to display info about the argument rather then the function (^ denotes the cursor) once an argument is provided: ``` python In [14]: s='foo' In [15]: s.split(^ # shows info about str.split In [15]: s.split(^s # shows info about string 's' In [15]: s.split(^x # no tooltip because x does not exist ``` In older version you always saw the function signature and specifically the names of the keyword arguments. and again: The tooltip updates depending on where you are within the parens (maybe intentional, but different than it used to be) and the tooltip looks at what's right in front of the cursor rather than just behind it when just to the right of the parens. @takluyver suggests looking at: https://github.com/ipython/ipython/blob/master/IPython/qt/console/frontend_widget.py#L718 but any language-specific parts should go in the kernel and not the frontend if possible. continues QTConsole regressions from #6726 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Better hyperparameter tensorboard logging in Trainer. # 🚀 Feature request `Trainer` should write `train_batch_size` and `eval_batch_size` to tensorboard. Currently only `per_device_` batch sizes are logged as hyperparamters, which means unless you know how many gpus you trained on (which is also not logged), you can't know the actual batch sizes used in training. ## Your contribution Submitted a PR: [Adds train_batch_size, eval_batch_size, and n_gpu to to_sanitized_dict output for logging.](https://github.com/huggingface/transformers/pull/5331#issue-440857548) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Remove 'conda env attach' and 'conda env upload' For conda 4.6, as a follow-on to #5842. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Trainer._load_rng_state() misbehavior Resuming from checkpoints have been giving me a warning I did not expect. ``` Didn't find an RNG file, if you are resuming a training that was launched in a distributed fashion, reproducibility is not guaranteed. ``` even though I do see a `rng_state.pth` file in the checkpoint directory. A little digging turned up https://github.com/huggingface/transformers/blob/3892d09f4f55607399ac6b9df14dbe9b3e92a3f7/src/transformers/trainer.py#L1513-L1514 which seems to prepend the checkpoint path to the filename twice for the `isfile()` check. I think this was a typo. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Testing this is a test Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Make platform version as independent parameter of ECSOperator Currently `ECSOperator` propagates `platform_version` parameter either in case `launch_type` is `FARGATE` or there is `capacity_provider_strategy` parameter provided. The case with `capacity_provider_strategy` is wrong. Capacity provider strategy can contain a reference on EC2 capacity provider. If it's an EC2 capacity provider, then `platform_version` should not be propagated to the `boto3` api call. And it's not possible to do so with the current logic of `ECSOperator` because `platform_version` is always propagated in such case and `boto3` doesn't accept `platform_version` as `None`. So in order to fix that `platform_version` should be an independent parameter and propagated only when it's specified, regardless which `launch_type` or `capacity_provider_strategy` is specified. That should also simplify the logic of `ECSOperator`. I will prepare a PR to fix that. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: memory leak of jax.random in GPU @ziatdinovmax was observing a phenomenon that memory keeps increasing until crashing for some NumPyro models (specifically, the issue https://github.com/pyro-ppl/numpyro/issues/447) when they are run in GPU. Here is an isolated repro code, which only uses JAX ops: ``` from jax import random, lax def model(key): D_X, D_H, D_Y = 3, 5, 1 # sample first layer (we put unit normal priors on all weights) key, subkey = random.split(key) w1 = random.normal(subkey, shape=(D_X, D_H)) key, subkey = random.split(key) w1 = random.uniform(subkey, shape=w1.shape, minval=-2, maxval=2) # sample second layer key, subkey = random.split(key) w2 = random.normal(subkey, shape=(D_H, D_H)) key, subkey = random.split(key) w2 = random.uniform(subkey, shape=w2.shape, minval=-2, maxval=2) # sample final layer of weights and neural network output key, subkey = random.split(key) w3 = random.normal(subkey, shape=(D_H, D_Y)) key, subkey = random.split(key) w3 = random.uniform(subkey, shape=w3.shape, minval=-2, maxval=2) # we put a prior on the observation noise key, subkey = random.split(key) prec_obs = random.normal(subkey) key, subkey = random.split(key) prec_obs = random.uniform(subkey, shape=prec_obs.shape, minval=-2, maxval=2) return w1, w2, w3, prec_obs def cond_fn(state): return state[0] < 100 def body_fn(state): i, key, _ = state key, subkey = random.split(key) return i + 1, key, model(subkey) init_state = (0, random.PRNGKey(0), model(random.PRNGKey(2019))) i, key, params = lax.while_loop(cond_fn, body_fn, init_state) ``` Interesting, if I use [rolled loop in threefry_2x32](https://github.com/google/jax/blob/master/jax/random.py#L138), the issue does not happen. Could it be a hint? cc @mattjj :) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Enable serialization of Optimizers <!-- ⚠ 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? Enable serialization and de-serialization of the `Optimizer`s such that they can be sent to Qiskit Runtime as algorithm settings. This is easily done by adding `to_dict` and `from_dict` methods and agree on a common structure, such as ```python {'name': 'SPSA', # required key 'maxiter': 100, # other settings } ``` It's probably best to wait after #6319 is merged and then add it to the `SciPyMinimizer` base class. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Only Windows BuildTools installed Here in package tools there is an issue related with an installation of only the buildtools, but not the whole visual studio, investigate how the vcvars command is working (or failing) and how vswhere.exe could help: https://github.com/conan-io/conan-package-tools/pull/137 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 optional argument to pull dependencies on docker-compose pull. This adds the `--include-deps` argument to `docker-compose pull` to additionally pull all dependencies/links images for the specified SERVICE. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: under Windows, "ipython3 nbconvert "C:/blabla/first_try.ipynb" --to latex" write "\" instead of "/" to reference file path in the .tex file Hello, I tried the new nbconvert feature of IPython1.0.0rc1 this morning on a Windows Vista PC. The .TEX generated file is perfect EXCEPT the directory separator character, which is unfortunately written as "\" instead of "/". Example (abstract) : ***\* instruction used to create the .TEX file **** ipython3 nbconvert "C:/blabla/bla/first_try.ipynb" --to latex gives (First 5 lines) : ***_(begining of abstract) ***_* % Header, overrides base % Make sure that the sphinx doc style knows who it inherits from. \def\sphinxdocclass{article} % Declare the document class \documentclass[letterpaper,10pt,english]{C:\blabla\winpython\WinPython-32bit-3.3.2.1rc1\python-3.3.2\lib\site-packages\sphinx\texinputs/sphinxhowto} **\* (..., then a reference to another document, also with a "\" instead of a "/") *** \begin{center} \includegraphics[max size={\textwidth}{\textheight}]{first_try_files\first_try_3_0.png} \par \end{center} **\* (end of abstract) ***** Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Metrics: Confusion Matrix ## 🚀 Feature Implement Confusion Matrix Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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_exe: Don't assert that we need an exe_wrapper when we say we do… …n't need one Fixes cross compiling mesa from x86_64 -> x86 on an x86_64 system. Fixes #5567 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Always checkpoint al least once ? When downloading notebook directly to hard drive, we should probably do a checkpoint on first open, always. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: BUG: functions marked with NPY_NO_EXPORT still are exported Steps to reproduce (on linux): - git checkout - `python setup.py build_ext` - choose a random function marked with the `NPY_NO_EXPORT` macro, for instance [`datetime_metadata_divides`](https://github.com/numpy/numpy/blob/v1.15.4/numpy/core/src/multiarray/_datetime.h#L108) and ~call `nm build/lib*/numpy/core/_multiarray_umath*.so |grep datetime_metadata_divides`~ check that the function is not exported: ``` import ctypes, numpy as np dll = ctypes.CDLL(np.core._multiarray_umath.__file__) print(getattr(dll, `datetime_metadata_divides`, None) ``` Note that the function appears in the result. It should not. I think the problem is in the `visibility_define` [function](https://github.com/numpy/numpy/blob/v1.15.4/numpy/core/setup.py#L379) which only hides the functions for gcc 4. Edit: use ctypes to check for export Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Port range like 8000-8010:80 PR #4649 says that it fixes #4378, which is the usage of port range in docker-compose. But it does not work (or I'm missing something). I've made a very simple docker-compose to test it ``` version: '3.3' services: nginx: image: nginx ports: - 4200-4500:80 ``` with docker-compose version : 1.17.0dev (same result with 1.16.1) and docker : 17.06.0-ce I've checked the source code, and it seems that there is no test for this use case. The docker-compose.yml in the test/fixtures/ports-composefile miss an case with port range. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Improve error message for type mismatch <!-- ⚠ 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 `qiskit/validation/base.py`, function `check_types`: if type does not match, the error message currently prints the expected type. It would help if it also prints the actual type. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: pkgconfig: accept another PkgConfigDependency as requires argument Something like: ```meson pkgg = import('pkgconfig') openssl = dependency('openssl') foo_pc = pkgg.generate(name : 'foo', requires : openssl) bar_pc = pkgg.generate(name : 'bar', requires: foo_pc) ``` Which would create `foo.pc` with `Requires: openssl` and `bar.pc` with `Requires: foo`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: indicate global phase in circuit drawer If a circuit has the global_phase property (introduced in #4565 ) set to something non-zero, then the circuit drawer should show that somewhere. I don't know where, somewhere that looks good (bottom or upper-right maybe). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Assertion error when using libm from find_library() Running Meson fails with Nautilus, as we do explicit linking with libm. ``` Traceback (most recent call last): File "/home/ernestas/Development/github.com/mesonbuild/meson/mesonbuild/mesonmain.py", line 353, in run app.generate() File "/home/ernestas/Development/github.com/mesonbuild/meson/mesonbuild/mesonmain.py", line 152, in generate self._generate(env) File "/home/ernestas/Development/github.com/mesonbuild/meson/mesonbuild/mesonmain.py", line 209, in _generate g.generate(intr) File "/home/ernestas/Development/github.com/mesonbuild/meson/mesonbuild/backend/ninjabackend.py", line 210, in generate self.generate_target(t, outfile) File "/home/ernestas/Development/github.com/mesonbuild/meson/mesonbuild/backend/ninjabackend.py", line 461, in generate_target elem = self.generate_link(target, outfile, outname, obj_list, linker, pch_objects) File "/home/ernestas/Development/github.com/mesonbuild/meson/mesonbuild/backend/ninjabackend.py", line 2465, in generate_link self.determine_rpath_dirs(target), File "/home/ernestas/Development/github.com/mesonbuild/meson/mesonbuild/backend/backends.py", line 337, in determine_rpath_dirs for rp in self.rpaths_for_bundled_shared_libraries(target): File "/home/ernestas/Development/github.com/mesonbuild/meson/mesonbuild/backend/backends.py", line 326, in rpaths_for_bundled_shared_libraries assert(not os.path.isabs(rel_to_src)) AssertionError ``` The code in Meson checks if the path is a system path by looking at its prefix, but on my machine it seems to be a bit more exotic: `/usr/bin/../lib/gcc/x86_64-redhat-linux/7/../../../../lib64/libm.so`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Define sys.ps{1,2} See https://bugs.launchpad.net/ipython/+bug/512826 for prior history. Summary: we should define sys.ps{1,2} to make it easier for scripts to detect if they are being loaded interactively or not, and without ipython-specific checks. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Consider exposing value of wrap-mode I have a dependency (libetpan) which uses a config-tool rather then pkg-config. I can implement this fine with find_program() and run_command() to extract the cflags, libs etc and create the dependency using declare_dependency(). However I can not make this behave correctly in the face of `--wrap-mode=forcefallback` since I do not have access to the wrap mode being used. Would it be possible to expose this somehow? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: empty -D flag passed to g++ causes build to fail meson 0.51.0 generates this compile command and the resulting error: ``` c++ -Imeson-out/25a6634@@alphabot@exe -Isrc -I../src -I/usr/include/libdrm -I/usr/include -I/usr/include/SDL2 -I/usr/include/freetype2 -I/usr/include/libpng16 -I/usr/include/harfbuzz -I/usr/include/glib-2.0 -I/usr/lib/glib-2.0/include -fdiagnostics-color=always -pipe -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Wnon-virtual-dtor -std=c++17 -g -D_REENTRANT -D -MD -MQ 'meson-out/25a6634@@alphabot@exe/main.cpp.o' -MF 'meson-out/25a6634@@alphabot@exe/main.cpp.o.d' -o 'meson-out/25a6634@@alphabot@exe/main.cpp.o' -c ../src/main.cpp cc1plus: error: to generate dependencies you must specify either ‘-M’ or ‘-MM’ ``` The error is caused by the empty -D after -D_REENTRANT which confuses g++ 9.1.0. the meson.build file looks like this: ``` libgl = dependency('GL') libpng = dependency('PNG') libsdl2 = dependency('SDL2') libsdl2_mixer = dependency('SDL2_mixer') libfreetype2 = dependency('freetype2') executable('alphabot', 'main.cpp', implicit_include_directories: true, dependencies: [libgl, libpng, libsdl2, libsdl2_mixer, libfreetype2], #cpp_args : '-DTEST', install: true) ``` Uncommenting #cpp_args : '-DTEST' will result in "-D_REENTRANT -D -DTEST" and allow the compilation to succeed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Documentation on how to vmap on dictionary entries I have a related question to #2367: Is it possible to use `vmap` on an array that is in a dictionary? And if yes, how? To stick with the example given in #2367, how to `vmap` 'b', which is an array within a dictionary: ``` import jax.numpy as np from jax import vmap dictionary = {'a': 5., 'b': np.arange(5)} c = 1. d = 2. def f(dct, c, d): return dct['a'] + dct['b'] + c + d result = vmap(f, magic)(dictionary, c, d) ``` I don't understand how I would have to create the magic axes tuple for this example or if it is even possible? I think it would be great if there would be a related example in the [documentation of vmap](https://jax.readthedocs.io/en/latest/jax.html?highlight=vmap#jax.vmap). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Revert "Display parameter values from serialized dag in trigger dag view. (#27482) This reverts commit 9409293514cef574179a5320ed3ed50881064423. @tirkarthi we can't view grid view of a dag if the Param type is boolean ```python int1 = randint(20, 200) bool1 = [] bools = bool1.append(True) if int1 % 2 == 0 else bool1.append(False) @task def fail_if_invalid(val): print(val) assert type(val[0]) == bool @dag( start_date=datetime(1970, 1, 1), schedule_interval=timedelta(days=365 * 30), params={"val": Param(False, type="boolean")}, doc_md=docs, tags=["core", "taskflow-api", "dag-params"], ) def bool_taskflow_test(bool_val): # val is a DagParam object # print(val) # <airflow.models.param.DagParam object at 0x103360b50> # the task dereferences it fail_if_invalid(bool_val) the_dag = bool_taskflow_test(bool1) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: pubsub should have a default flow controller re: https://github.com/GoogleCloudPlatform/google-cloud-python/issues/5058#issuecomment-378412550 PubSub should come configured with a default flow controller and some arbitrary default max messages (several other languages use 1000 as the number), with documentation around tuning it for higher-throughput workloads (which requires more memory). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Qt5 module complains when the (previously) optional lrelease program isn't found New behavior in 0.49.0: `meson.build:47:0: ERROR: Program(s) ['lrelease'] not found or not executable` On quite many distributions the `lrelease` tool is only in the `qt5-tools` (or similarly named) package while the base parts of Qt are in `qt5-base` (which was previously enough to use Qt5 with meson). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [Longformer] Output both local attentions and global attentions when `output_attentions=True` -> Good Second Issue # 🚀 Feature request **Good Second Issue** - A more advanced issue for contributors who want to dive more into Longformer's attention mechanism. Longformer currently only outputs global attentions, which is suboptimal because users might be interested in the local attentions as well. I propose to change the "output_attention" logic as follows in longformer: `attentions` should correspond to the "local" attentions and then we'll add a new output type `global_attention` that contains the global_attentions. This is consistent with the naming of `attention_mask` and `global_attention_mask` IMO and the cleanest way to implement the feature. Implementing this feature would mean to that Longformer will require its own `ModelOutput` class => `BaseModelOutput,` => `LongformerBaseModelOutput` or `BaseModelOutputWithGlobalAttention` (prefer the first name though) `BaseModelOutputWithPooling,` => ... Also some tests will have to be adapted. This is a slightly more difficult issue, so I'm happy to help on it. One should understand the difference between local and global attention and how Longformer's attention is different to *e.g.* Bert's attention in general. For more detail check out discussion here: https://github.com/huggingface/transformers/issues/5646 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: find_cmd test failure on Windows I think this is caused by #3301. The [Windows implementation of find_cmd](https://github.com/ipython/ipython/blob/master/IPython/utils/_process_win32.py#L74) expects a command name without an extension, but the test now uses 'python.exe'. I think that 'python.exe' is a valid command on Windows, so I think we should modify `find_cmd` to allow passing a command with an extension. Alternatively, we could modify the test to strip the extension. ``` ====================================================================== ERROR: Make sure we find sys.exectable for python. ---------------------------------------------------------------------- Traceback (most recent call last): File "S:\Users\slave\Jenkins\shiningpanda\jobs\d5f643a2\virtualenvs\ff035a1d\lib\site-packages\nose\case.py", line 197, in runTest self.test(*self.arg) File "S:\Users\slave\Jenkins\shiningpanda\jobs\d5f643a2\virtualenvs\ff035a1d\lib\site-packages\ipython-1.0.dev-py2.7.egg\IPython\utils\tests\test_process.py", line 36, in test_find_cmd_python nt.assert_equal(find_cmd(python), sys.executable) File "S:\Users\slave\Jenkins\shiningpanda\jobs\d5f643a2\virtualenvs\ff035a1d\lib\site-packages\ipython-1.0.dev-py2.7.egg\IPython\utils\process.py", line 67, in find_cmd raise FindCmdError('command could not be found: %s' % cmd) FindCmdError: command could not be found: python.exe ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: scheduler gets stuck without a trace **Apache Airflow version**: **Kubernetes version (if you are using kubernetes)** (use `kubectl version`): **Environment**: - **Cloud provider or hardware configuration**: - **OS** (e.g. from /etc/os-release): - **Kernel** (e.g. `uname -a`): - **Install tools**: - **Others**: **What happened**: The scheduler gets stuck without a trace or error. When this happens, the CPU usage of scheduler service is at 100%. No jobs get submitted and everything comes to a halt. Looks it goes into some kind of infinite loop. The only way I could make it run again is by manually restarting the scheduler service. But again, after running some tasks it gets stuck. I've tried with both Celery and Local executors but same issue occurs. I am using the -n 3 parameter while starting scheduler. Scheduler configs, job_heartbeat_sec = 5 scheduler_heartbeat_sec = 5 executor = LocalExecutor parallelism = 32 Please help. I would be happy to provide any other information needed **What you expected to happen**: **How to reproduce it**: **Anything else we need to know**: Moved here from https://issues.apache.org/jira/browse/AIRFLOW-401 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: 0.50.0: test target: AttributeError: Can't get attribute 'ConfigData' on <module 'mesonbuild.coredata' from '/usr/lib/python3.7/site-packages/mesonbuild/coredata.py'> <pre>+ /usr/bin/ninja test -v -j4 -C x86_64-redhat-linux-gnu ninja: Entering directory `x86_64-redhat-linux-gnu' [0/1] /usr/bin/meson test --no-rebuild --print-errorlogs Traceback (most recent call last): File "/usr/lib/python3.7/site-packages/mesonbuild/mesonmain.py", line 122, in run return options.run_func(options) File "/usr/lib/python3.7/site-packages/mesonbuild/mtest.py", line 1002, in run return th.doit() File "/usr/lib/python3.7/site-packages/mesonbuild/mtest.py", line 753, in doit self.run_tests(tests) File "/usr/lib/python3.7/site-packages/mesonbuild/mtest.py", line 888, in run_tests self.build_data = build.load(os.getcwd()) File "/usr/lib/python3.7/site-packages/mesonbuild/build.py", line 2307, in load obj = pickle.load(f) AttributeError: Can't get attribute 'ConfigData' on <module 'mesonbuild.coredata' from '/usr/lib/python3.7/site-packages/mesonbuild/coredata.py'> FAILED: meson-test /usr/bin/meson test --no-rebuild --print-errorlogs ninja: build stopped: subcommand failed. error: Bad exit status from /var/tmp/rpm-tmp.GduYpo (%check) </pre> Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 suddenly requires user authentication for accessing conan server conan client: 1.14.0 (Windows) conan server: 1.0.2 (Windows) For over a year, we have a conan server 1.0.2 running without any changes to its configuration. It has the following read permissions, i.e. everybody should be able to download packages: [read_permissions] # opencv/1.2.3@lasote/testing: default_user default_user2 # By default all users can read all blocks */*@*/*: * Since installing conan 1.14.0 (or maybe 1.13.x), the client suddenly starts asking for credentials to access the server when using ``conan install``. To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: The pulse drawer should not override Matplotlib RCparams <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? The pulse drawer inherits its styling [from](https://qiskit.org/documentation/stubs/qiskit.visualization.pulse.qcstyle.html). This overrides the default [Matplotlib rcparams](https://matplotlib.org/tutorials/introductory/customizing.html) which should determine the default parameters. ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: docker-compose run --rm does not remove volumes Running one-off commands with docker-compose does not delete volumes used by the container. This is different than `docker run --rm` which does remove volumes after the container is deleted. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: np.conj vs np.conjugate Both ``numpy.conj`` and ``numpy.conjugate`` exist, and in fact the docs for ``conj`` show examples that use ``conjugate``: https://docs.scipy.org/doc/numpy-1.12.0/reference/generated/numpy.conj.html Furthermore, the page for numpy.conjugate doesn't exist. It would be nice to make this more consistent, e.g. change the examples in for the ``conj`` page to use ``conjugate``, or add a note to the ``conj`` docs that either 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 numpy/numpy codebase. Here's the problem: Can't pickle UFuncTypeError numpy 1.18.4-py38h8854b6b_0 (conda-forge) Linux x64 ```python import pickle import numpy try: numpy.ones(1) * "foo" except Exception as e: pickle.dumps(e) ``` Output: ``` Traceback (most recent call last): File "ufunctypeerror.py", line 6, in <module> numpy.ones(1) * "foo" numpy.core._exceptions.UFuncTypeError: ufunc 'multiply' did not contain a loop with signature matching types (dtype('<U32'), dtype('<U32')) -> dtype('<U32') During handling of the above exception, another exception occurred: Traceback (most recent call last): File "ufunctypeerror.py", line 8, in <module> pickle.dumps(e) _pickle.PicklingError: Can't pickle <class 'numpy.core._exceptions.UFuncTypeError'>: it's not the same object as numpy.core._exceptions.UFuncTypeError ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Move gax functionality into google.api.core - [x] [retry](https://github.com/googleapis/gax-python/blob/baa1c13545c642d461c44e6d5f71d6ec446be5f5/google/gax/retry.py) - [x] [timeout](https://github.com/googleapis/gax-python/blob/baa1c13545c642d461c44e6d5f71d6ec446be5f5/google/gax/retry.py) - [x] [path template](https://github.com/googleapis/gax-python/blob/baa1c13545c642d461c44e6d5f71d6ec446be5f5/google/gax/path_template.py) [(context)](https://github.com/googleapis/googleapis/blob/master/google/api/http.proto#L212) - [x] [api callable](https://github.com/googleapis/gax-python/blob/baa1c13545c642d461c44e6d5f71d6ec446be5f5/google/gax/api_callable.py) - [x] loading gapic config - [x] grpc error wrapping - [x] plain methods - [x] paged methods - [x] LRO client & methods - [x] [utils](https://github.com/googleapis/gax-python/tree/baa1c13545c642d461c44e6d5f71d6ec446be5f5/google/gax/utils) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Backport 10361 Not sure how you keep track of these things, @charris, but let's not let backporting #10361 slip off the radar. Backport 10361 Not sure how you keep track of these things, @charris, but let's not let backporting #10361 slip off the radar. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Package revisions Most package managers have a concept of package revision, i.e. additional version number that reflects changes in packaging scripts or applied patches when "main" version number of packaged software remains the same. It would be great if Conan added support for revisions too. This will make package updates more trasparent ("updated from vX.Y.Z-r1 to vX.Y.Z-r2"). Also there could be a policy that "stable" channel can never change conanfile and binaries without bumping revision, to prevent accidental changes in packages used in CI with manifest verification. It would be great if it was possible to keep binary packages for previous revisions so that CI system with manifests checking does not get broken in case new revision is uploaded without committing new reference manifests. It was previously briefly discussed at https://github.com/conan-io/conan/issues/480#issuecomment-247545547 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Bug when constructing a selection widget with both values and labels Length validation causes selection widgets constructed with both values and labels to fail. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: `ERROR: Cannot get the latest package without RREV` from `conan graph build-order` when all packages are cached Conan version: **1.18.2** I'm designing our new CI buid process based on lockfiles and revisions. If I have all packages built in the local cache and rerun the build, I'm getting the error mentioned in the the title. This is the invocation: ``` ❯ ./conan-bin graph build-order --build cascade --build outdated conan.lock Using lockfile: '/home/tamas/work/conan/conan.lock' bzip2/1.0.6: Package is up to date iconv/1.15: Package is up to date zlib/1.2.8: Package is up to date boost/1.69.0: Package is up to date ERROR: Cannot get the latest package without RREV. [Remote: toolchain] ``` If I remove at least one of the packages that were built (via `conan remove`) I'm not getting an error. I have no idea what this means, any clues? What can I do to avoid it? Also, I think `CONAN_VERBOSE_TRACEBACK` is broken as I'm not able to get a traceback for this error. EDIT: I created a minimal(-ish) repro [here](https://github.com/sztomi/cannot_get_latest_package). See the README in that repo for instructions. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Error in documentation for QuantumCircuit.rz() ### Environment - **Qiskit Terra version**: 0.19.1 - **Python version**: 3.8.10 - **Operating system**: n/a ### What is happening? Documentation description of `QuantumCircuit.rz()` says "Apply `RYGate`". Should be "Apply `RZGate`". ### How can we reproduce the issue? n/a ### What should happen? Change documentation to "Apply `RZGate`". ### 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 PrefectHQ/prefect codebase. Here's the problem: Move ShellTask out of prefect.tasks.core `prefect.tasks.core` is intended for tasks that are used by Prefect in some way -- for example, operators and `FunctionTask` (and, arguably, `Parameters`?) I suggest moving `shell_task.py` to `src/prefect/tasks/shell_task.py` Move ShellTask out of prefect.tasks.core `prefect.tasks.core` is intended for tasks that are used by Prefect in some way -- for example, operators and `FunctionTask` (and, arguably, `Parameters`?) I suggest moving `shell_task.py` to `src/prefect/tasks/shell_task.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: Using multiple SamplePulses with the same name overwritten in Qobj pulse library <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? In the Qobj specification, pulse are identified by their name. In the pulse module pulses are identified by their object instance and when assembled are stored in the Qobj pulse library by name. If two `SamplePulse`s of the same name exist, the second will overwrite the first, causing undesired behaviour. ### Steps to reproduce the problem Create a pulse schedule with two different pulses of the same name and assemble into a Qobj. ### What is the expected behavior? Unique pulses should be stored uniquely in the Qobj pulse library. ### Suggested solutions If a name collision occurs when building the pulse library. Modify the name of the sample pulse in some consistent manner, and adjust the commands that refer to this pulse. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: qc.qasm() does not include params of composited gates ### Information - **Qiskit Terra version**: 0.15.2 - **Python version**: 3.7.7 - **Operating system**: macOS 10.15.6 ### What is the current behavior? When you create a `QuantumCircuit` from a qasm string including composited gates, ```python from qiskit.circuit import QuantumCircuit qasm_str = ( 'OPENQASM 2.0;' 'include "qelib1.inc";' 'gate nG0 (param0) q0 { h q0; }' 'qreg q[3];' 'creg c[3];' 'nG0 (pi) q[0];' ) qc = QuantumCircuit.from_qasm_str(qasm_str) ``` the circuit is correctly created. But if you get qasm from the already created circuit ```python qc.qasm(formatted=True) ``` ```qasm OPENQASM 2.0; include "qelib1.inc"; gate nG0 q0 {h q0; } // it should be: gate nG0 (param0) q0 { h q0; } qreg q[3]; creg c[3]; nG0(pi) q[0]; ``` the composited gates params are not present, so the qasm is incorrect. Any attempt of creating a new quantum circuit from this qasm will fail: ```python qc2 = QuantumCircuit.from_qasm_str(qc.qasm()) ``` ```python QasmError: "Gate or opaque call to 'nG0' uses 1 qubits but is declared for 0 qubits line 6 file " ``` ### What is the expected behavior? The qasm of the created quantum circuit should include the params of the composited gate. ```python qc.qasm(formatted=True) ``` ```qasm OPENQASM 2.0; include "qelib1.inc"; gate nG0 (param0) q0 {h q0; } qreg q[3]; creg c[3]; nG0(pi) q[0]; ``` ### Suggested solutions Take into account `Instruction` params when creating qasm in `qc.qasm()`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Fix Failing BigTable System tests https://circleci.com/gh/GoogleCloudPlatform/google-cloud-python/6646 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: bucket.list_blobs(max_results=n) has no effect passing `max_results=5` to `bucket.list_blobs()` appears to have no effect; all blobs are returned in the `BlobIterator` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: stale_refs failing due to unhandled "xxxxxx will become dangling!" message With a repo set up in way that `git remote prune --dry-run origin`returns the following: ``` URL: .... my repo utl... * [would prune] origin/some-branch * [would prune] origin/some-more-branches * [would prune] origin/main refs/remotes/origin/HEAD will become dangling! ``` **stale_refs** throws `ValueError: Could not parse git-remote prune result: ' refs/remotes/origin/HEAD will become dangling!'` I suppose this warning message should just silently be skipped at https://github.com/gitpython-developers/GitPython/blob/main/git/remote.py#L614 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the explosion/spaCy codebase. Here's the problem: displacy RTL support Unfortunately, it seems that displacy doesn't support LTR. It scrambles the text when I tried to visualize a doc in Persian using `style=ner` or `style=dep`. ## My Environment * Operating System: Mac OS X * Python Version Used: 3.6 * spaCy Version Used: 2.0.7 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ERROR: Internal Python error in the inspect module. Looks like this is related to issue #53. I just got the following in the notebook: ``` In [33]: # Switch to NumPy pw.prtparam = p ``` ``` Traceback (most recent call last): File "C:\Python27\lib\site-packages\ipython-0.13.dev-py2.7.egg\IPython\core\ultratb.py", line 756, in structured_traceback records = _fixed_getinnerframes(etb, context, tb_offset) File "C:\Python27\lib\site-packages\ipython-0.13.dev-py2.7.egg\IPython\core\ultratb.py", line 242, in _fixed_getinnerframes records = fix_frame_records_filenames(inspect.getinnerframes(etb, context)) File "C:\Python27\lib\inspect.py", line 1041, in getinnerframes framelist.append((tb.tb_frame,) + getframeinfo(tb, context)) File "C:\Python27\lib\inspect.py", line 1005, in getframeinfo lines, lnum = findsource(frame) File "C:\Python27\lib\inspect.py", line 578, in findsource if pat.match(lines[lnum]): break IndexError: list index out of range ERROR: Internal Python error in the inspect module. Below is the traceback from this internal error. Unfortunately, your original traceback can not be constructed. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Fortran 2008 submodule Fortran 2008 added `submodule`, which is quite useful for good structure and fast builds of Fortran programs. The present lack of `submodule` support in Meson is a key blocker for Fortran use. Meson does not appear to understand the `submodule` statement. A self-contained single `.f90` file will of course compile correctly, but almost all use cases for `submodule` are where the submodule is in a different `.f90` file from the `module` containing the `submodule`. Here is a simple example consisting of two files. file `basic.f90` ```fortran module demo real, parameter :: pi = 4.*atan(1.) real :: tau interface module subroutine hello(pi,tau) real, intent(in) :: pi real, intent(out) :: tau end subroutine hello end interface contains end module demo program sm use demo call hello(pi, tau) print *,'pi=',pi, 'tau=', tau end program ``` file `basic_sub.f90` ```fortran submodule (demo) hi contains module procedure hello tau = 2*pi end procedure hello end submodule hi ``` file `meson.build` ```meson executable('basic', ['basic.f90', 'basic_sub.f90']) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Support for `Parameter`s with complex values <!-- ⚠ 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? Parameters are now used in schedules. Schedules have pulses which may have complex amplitudes. I'd like to be able to do this: ``` from qiskit import pulse from qiskit.circuit import Parameter amp = Parameter('amp') sched = pulse.Schedule() sched += pulse.Play(pulse.Gaussian(duration=128, sigma=16, amp=amp), pulse.DriveChannel(0)) sched.assign_parameters({amp: 0.2j}) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Preprocess/transform logits before gathering them for computing metrics. ### Feature request In `trainer.evaluation_loop`, `preprocess_logits_for_metrics` should be executed before `_nested_gather` to avoid GPU OOM. ### Motivation `preprocess_logits_for_metrics` processes logits after gathering them when do distributed learning. When training with large batch_size, token_length or vocab_size, gathering all logits to 1 node will cause to out of GPU memory. This preprocessing should be executed before `_nested_gather`. ### Your contribution The main modification would be this in `trainer.evaluation_loop`: ``` if logits is not None: logits = self._pad_across_processes(logits) if self.preprocess_logits_for_metrics is not None: logits = self.preprocess_logits_for_metrics(logits, labels) logits = self._nested_gather(logits) preds_host = logits if preds_host is None else nested_concat(preds_host, logits, padding_index=-100) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Smaller last batch skews Train/EvalResult ## 🚀 Feature Supported weighted average for Result ### Motivation The last batch of dataloader is usually smaller than a regular batch. Hence simply average the statistic of all batches will skew the epoch statistic. _For example_ ``` result.log('accuracy', 0.7) # batch size 256 result.log('accuracy', 0.8) # batch size 256 result.log('accuracy', 0.9) # batch size 10 (last batch) ``` Wrong epoch accuracy =` (0.7 + 0.8 + 0.9) / 3` Correct epoch accuracy = `(256 * 0.7 + 256 * 0.8 + 10 * 0.9) / ( 256 + 256 + 10)` ### Pitch Support input for weight, or batch size in Result `result.log('accuracy', 0.7, batch_size) ` ### Alternatives I don't see any alternatives other than switch back the the old way of using training/validation_epoch_end and do the weighted average manually there. ### Additional context <!-- Add any other context or screenshots about the feature request here. --> Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: a.size and np.prod(a.shape) are not equivalent The documentation of `ndarray.size` claims that `a.size` is equivalent to `np.prod(a.shape)`. While they do return the same value, they return different types and therefore are not equivalent. ```python a = np.zeros((2, 2)) type(a.size) # returns <class 'int'> type(np.prod(a.shape)) # returns <class 'numpy.int64'> ``` Continuing the calculations using `np.prod(a.shape)` can therefore lead to integer overflows. I guess `np.prod(a.shape)` cannot be changed to return a `<class 'int'>` instance, and `a.size` should certainly not be changed to return a `<class 'numpy.int64'>` instance, so probably the only solution is to update the documentation to reflect that these two are not fully equivalent. I'd be happy to make pull-request to update the documentation accordingly. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ImportError: cannot import name 'BloomTokenizer' from 'transformers' ### System Info transformers==4.20.1 torch==1.12.0 Python 3.9.13 GPU: yes (running on GCP) ### Who can help? @SaulLu ### Information - [X] 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 ``` from transformers import BloomTokenizer, BloomModel ``` I was following https://huggingface.co/docs/transformers/model_doc/bloom Specifically ``` from transformers import BloomTokenizer, BloomModel import torch tokenizer = BloomTokenizer.from_pretrained("bigscience/Bloom") model = BloomModel.from_pretrained("bigscience/Bloom") inputs = tokenizer("Hello, my dog is cute", return_tensors="pt") outputs = model(**inputs) last_hidden_states = outputs.last_hidden_state ``` ### Expected behavior No import error. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Provide 'tools.rename' utility in the new tools namespace A new function to rename files/folders that uses current implementation (_robocopy_ for Windows), but will accept the `conanfile` so we can control behavior in the future if needed ```python def rename(conanfile, src, dst): # Mostly copied from current conans.tools.rename ... ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: `fs_io_manager` wrong documentation ## What content is missing I found a small issue in the documentation about the `fs_io_manager`: ``` dagster.core.errors.DagsterInvalidConfigError: Error in config for resource io_manager Error 1: Received unexpected config entry "base_path" at path root:config. Expected: "{ base_dir?: (String | { env: String }) }". ``` ## Type of the content The configuration for `fs_io_manager` should be: ``` @job( resource_defs={ "io_manager": fs_io_manager.configured({**"base_dir"**: "/my/base/path"}) } ) ``` instead of ``` @job( resource_defs={ "io_manager": fs_io_manager.configured({"base_path": "/my/base/path"}) } ) ``` from documentation here: https://docs.dagster.io/_apidocs/io-managers#dagster.fs_io_manager --- #### Message from the maintainers: Are you looking for the same documentation content? Give it a :thumbsup:. We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: canary: mkdir option removed from conda create on a minor bump On conda 4.5 ```bash $ conda create -n testmkdir --mkdir ``` It works On 4.6 on canary ```bash $ conda create -n testmkdir --mkdir ``` It fails. Removing an option from the CLI in a minor version sounds like a no no. Could we instead deprecate (even if the option does not do anything?) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Make the documentation the root of the GH page. Also - how would this work when it comes to moving to the GoogleCloudPlatform page...? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 search <reference> for recipe without binary packages In case there is a recipe without binary packages in the local cache, `conan search` with a full reference just prints `There are no packages for pattern '<ref>'` - "pattern" is wrong, should be "reference" - Something like "Package recipe found" would be nice. - The same command with a suffixed "*" gives more information, although the request is less specific. This happens mainly when `conan create` fails between export and package. I was confused about the inconsistent outputs with pattern and reference. Steps to reproduce: ``` > conan search zlib* There are no packages matching the zlib* pattern > conan info zlib/1.2.11@conan/stable ...downloads the recipe > conan search zlib* Existing package recipes: zlib/1.2.11@conan/stable > conan search zlib/1.2.11@conan/stable* Existing package recipes: zlib/1.2.11@conan/stable > conan search zlib/1.2.11@conan/stable There are no packages for pattern 'zlib/1.2.11@conan/stable' ``` Conan 1.0.1, Windows - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: add qiskit.backend methods for getting parameter and calibration data Add methods to qiskit.backends for getting parameters and calibration data. ## 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 --> ## Current Behavior Currently the way to obtain backend parameters and calibration is through QuantumProgram methods. These could be moved to qiskit.backends. ## Possible Solution <!--- Not obligatory, but suggest a fix/reason for the bug, --> <!--- or ideas how to implement the addition or change --> ## 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 --> 1. 2. 3. 4. ## Context <!--- How has this issue affected you? What are you trying to accomplish? --> <!--- Providing context helps us come up with a solution that is most useful in the real world --> ## Your Environment <!--- Include as many relevant details about the environment you experienced the bug in --> * Version used: * Environment name and version (e.g. Python 3.6.1): * Operating System and version: Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: dagster-ge great_expectations pin It looks like dagster-ge should have a bottom pin of `0.11.9`: ``` import: 'dagster_ge' Traceback (most recent call last): File "/home/conda/feedstock_root/build_artifacts/dagster_1598270757893/test_tmp/run_test.py", line 2, in <module> import dagster_ge File "/home/conda/feedstock_root/build_artifacts/dagster_1598270757893/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehol/lib/python3.7/site-packages/dagster_ge/__init__.py", line 1, in <module> from .factory import ge_validation_solid_factory File "/home/conda/feedstock_root/build_artifacts/dagster_1598270757893/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehol/lib/python3.7/site-packages/dagster_ge/factory.py", line 6, in <module> from great_expectations.render.page_renderer_util import ( ModuleNotFoundError: No module named 'great_expectations.render.page_renderer_util' ``` This file is present in 0.11.9, but not in 0.11.8: - https://github.com/great-expectations/great_expectations/tree/0.11.8/great_expectations/render - https://github.com/great-expectations/great_expectations/tree/0.11.9/great_expectations/render Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: UFunc benchmarks complaining lack of coverage of matmul and _arg When running benchmarks, a warning appears (see https://github.com/numpy/numpy/pull/12666#issuecomment-451790069) that ``` [ 0.00%] ···· Missing ufunc '_arg' Missing ufunc 'matmul' ``` This originates on https://github.com/numpy/numpy/blob/master/benchmarks/benchmarks/bench_ufunc.py#L25 I think `matmul` may well be tested elsewhere, so can be excluded here. `np.core.umath_arg.__doc__` suggests `_arg` is for testing purposes only; am not sure why it is exported. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Fix #67 - Added check to install python-dev. Big query TIMESTAMP field off by factor of 1000 Using master branch. In BigQuery TIMESTAMP fields are off by a factor of 1000 when using fetch_data. See my in-line comment - https://github.com/GoogleCloudPlatform/gcloud-python/commit/41e64395661a31af8352fb2358e5c95ff5437830#diff-c56e349a3e511bfabb4e8dfcfe686bc8R739 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add optional pull to local agent If the image is present locally we don't want to attempt a pull from a registry Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 our debugger class is used standalone `_oh` key errors are thrown See [this bug report](https://github.com/inducer/pudb/issues/30) for an example... Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Spanner Unit Test b0rken on AppVeyor https://ci.appveyor.com/project/GoogleCloudPlatform/google-cloud-python/build/1.0.1072.master/job/qvj0q69feleskbpu Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: IPython 1.1.0 Qtconsole syntax highlighting highlights python 2 only built-ins when using python 3 I used IPython 1.1.0 with Python 3.3.2 on 64bit windows to test this. IPython 1.1.0 Qtconsole highlights deprecated python2 built in functions. This includes : unicode, reload, execfile, cmp, apply, file, intern, basestring, xrange, buffer, long, unichr, raw_input, coerce, reduce I don't think they should be highlighted as they are deprecated. (IDLE doesn't highlight 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: text drawer: gap between gates <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior? This circuit ``` OPENQASM 2.0; include "qelib1.inc"; qreg q[7]; h q[0]; swap q[0],q[1]; cx q[2],q[3]; rz(0.100000000000000) q[2]; swap q[1],q[2]; swap q[2],q[3]; cx q[3],q[4]; swap q[5],q[4]; cx q[4],q[3]; cx q[4],q[3]; swap q[6],q[5]; swap q[5],q[4]; swap q[4],q[3]; swap q[3],q[2]; swap q[2],q[1]; cx q[1],q[0]; ``` draws as ``` ┌───┐ ┌───┐ q_0: |0>┤ H ├ ─X─ ────────────────────────────────────┤ X ├ └───┘ │ └─┬─┘ q_1: |0>───── ─X─ ─X────────────────────────────────X───■── ┌─────────┐ │ │ q_2: |0>──■──┤ Rz(0.1) ├─X──X──────────────────────────X──X────── ┌─┴─┐└─────────┘ │ ┌───┐┌───┐ │ q_3: |0>┤ X ├───────────────X───■─────┤ X ├┤ X ├────X──X───────── └───┘ ┌─┴─┐ └─┬─┘└─┬─┘ │ q_4: |0>──────────────────────┤ X ├─X───■────■───X──X──────────── └───┘ │ │ q_5: |0>────────────────────────────X─ ─X─ ──────X─────────────── │ q_6: |0>────────────────────────────── ─X─ ────────────────────── ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: logaddexp and logsumexp do not handle -inf correctly, don't match numpy/scipy logaddexp(-inf, -inf) should be -inf, is nan in jax implementations. numpy.logaddexp(np.NINF, np.NINF) => -inf jax.numpy.logaddexp(np.NINF, np.NINF) => nan Same issue for special.logsumexp Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Update NDArrayOperatorsMixin to implement __matmul__ using np.matmul `np.matmul` is now a ufunc (thanks to #12219), so we can support it with NDArrayOperatorsMixin now -- these lines in the docstring are now out of date! https://github.com/numpy/numpy/blob/82428bb72589c6fd781689feb1f501a6a29c6fdc/numpy/lib/mixins.py#L72-L73 This isn't a strict blocker for 1.16 but it would be good to get it in if possible. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: stax neural network initializers default to 32bit floats even in 64 bit mode I need/want to try out my code with 64 bit wide floats. My code uses neural networks setup with stax, the initializers for which default to 32 bit floats (and there is no useable API to change this in user facing code). Using the thus initialized (`float32`) parameters (and `float64` data batches) in an update `fori_loop` (taking the gradients with `value_and_grad` and updating parameters with any optimizer) results in either one of two faulty behaviors (depending on the exact nature of computation): 1. the gradients come out as `float32`, thus thwarting my intention of computing with `float64` values 2. the gradients come out as `float64`, which results in a type-mismatch exception thrown by `fori_loop` since the initial value argument passed to it was of type `float32` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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_mode` in `custom_target` does not process integer values for uid/gid **Describe the bug** The `install_mode` kwarg for a `custom_target` cannot process integer values for `owner` and `group`. For instance, adding `install_mode: [false, 10000, 10000]` will not change the `uid` and `gid` to `10000` on installation. Replacing these integers with strings does not work either, as it then expects these to be actual user or group names. **To Reproduce** Sample `meson.build`: ```meson project('testproject') custom_target( 'target', build_by_default: true, output: 'test_output', command: [ 'touch', '@OUTPUT@', ], install: true, install_mode: [false, 10000, 10000], install_dir: meson.current_source_dir(), ) ``` Then, run: ```bash meson setup build sudo meson install -C build ``` On Linux, this will create a file in the `build` directory, before installing that file in the current directory. At the same time, it should change the `uid` and `gid` values to `10000`, but it does not. Looking at the code, I believe this comes from `mesonbuild/interpreter/typechecking.py`. The `_install_mode_convertor` function replaces all non string values with `None`: https://github.com/mesonbuild/meson/blob/84c412a921497432cc6884befddd0b29c3a389cd/mesonbuild/interpreter/type_checking.py#L97-L106 **Expected behavior** As written in the [docs](https://mesonbuild.com/Reference-manual_functions.html#custom_target), the `install_mode` kwarg should process correctly integer values for owner and group for a `custom_target`. **system parameters** Ubuntu 22.04.1 Python 3.10.6 meson 1.0.0 ninja 1.10.1 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: set_custom_exc exception handlers don't catch SyntaxError ``` In [6]: ipython = get_ipython() In [7]: def exc_handler(self, etype, value, tb, tb_offset=None): ...: print(etype) ...: return self.showtraceback() ...: In [9]: ipython.set_custom_exc((BaseException,), exc_handler) In [10]: bad <class 'NameError'> --------------------------------------------------------------------------- NameError Traceback (most recent call last) <ipython-input-10-df207dc9143c> in <module>() ----> 1 bad NameError: name 'bad' is not defined In [11]: 1f File "<ipython-input-11-0cd11c36f170>", line 1 1f ^ SyntaxError: invalid syntax ``` (notice no `<class 'SyntaxError'>`) I vaguely remember noticing this before in the code because syntax errors are handled specially. This causes my [iTerm2 extension](https://iterm2-tools.readthedocs.org/en/latest/ipython.html) to not register syntax errors as "failed" prompts. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Datastore: Ability to override base URL Seee https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/datastore/google/cloud/datastore/client.py. It is currently only possible to override the base URL: `_DATASTORE_BASE_URL = 'https://datastore.googleapis.com'` by setting the `GCD_HOST` environment variable: ``` try: host = os.environ[GCD_HOST] self._base_url = 'http://' + host except KeyError: self._base_url = _DATASTORE_BASE_URL ``` but this is meant to be used with the emulator and so does not use SSL. It would be helpful to be able to override base_url to an https address. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: np.loadtxt no longer loads bz2 files in python2 I have been using `np.loadtxt()` to happily load `txt.bz2` files for many years. I recently upgraded to numpy 1.14.2, and I noticed that it no longer seems possible to load a `txt.bz2` file using python2. Was this intensional, or some sort of bug? ``` Traceback (most recent call last): File "/Users/danhickstein/Documents/GitHub/PyAbel-DH/examples/example_all_O2.py", line 41, in <module> IM = np.loadtxt('data/O2-ANU1024.txt.bz2') File "/anaconda2/lib/python2.7/site-packages/numpy/lib/npyio.py", line 917, in loadtxt fh = np.lib._datasource.open(fname, 'rt', encoding=encoding) File "/anaconda2/lib/python2.7/site-packages/numpy/lib/_datasource.py", line 260, in open return ds.open(path, mode, encoding=encoding, newline=newline) File "/anaconda2/lib/python2.7/site-packages/numpy/lib/_datasource.py", line 614, in open encoding=encoding, newline=newline) File "/anaconda2/lib/python2.7/site-packages/numpy/lib/_datasource.py", line 88, in _python2_bz2open raise ValueError("bz2 text files not supported in python2") ValueError: bz2 text files not supported in python2 ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Better way to limit output cache size As discussed on #712 (tagging @stefanv): At present, if the output cache fills up (default 1000 items), it will be automatically flushed, leaving you with just the last three outputs in `_`, `__` and `___`. This could be annoying if you wanted to refer to something that's just been lost, and you're only warned about this when it's already happening. I propose that we drop the oldest 20% (say) of items when we hit the cache limit. This is a little more computationally intensive (sort 1000 integers, delete 200 keys from a dictionary), but it means that we always have at least the last 800 pyout objects stored. I think this should either be silent, or with a brief message the first time it happens (e.g. "Starting to delete oldest cached output. The latest %d outputs at any point will still be available."). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the gitpython-developers/GitPython codebase. Here's the problem: AttributeError: 'PushInfo' object has no attribute 'name' A simple call to: result = self._client.remotes.origin.push(**args) print(result.summary) results in: Traceback (most recent call last): File "C:\Users\jsmith\Envs\halpy\lib\site-packages\halpy\cms.py", line 623, in checkin_files print(result.summary) File "C:\Users\jsmith\Envs\halpy\lib\site-packages\git\util.py", line 883, in __getattr__ if getattr(item, self._id_attr) == attr: AttributeError: 'PushInfo' object has no attribute 'name' Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: DOC: as*array functions incorrectly describe the order kwarg All of the functions such as `np.asanyarray`, `np.ascontiguousarray`, etc. simply forward to `np.array`, which supports `K` and `A` order. However, these do not document it correctly. Since all of those functions use `copy=False`, the can probably just list `K` and `A` and say that the value has no effect, unless a copy has to be made (in which case they can refer to `np.array`?) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: All agents with default labels are not registering their labels Currently, all agents that have default labels (e.g., `LocalAgent`) are not registering their labels when first registering with Prefect Cloud. This is because the cloud registration step occurs in the `__init__` of the base agent class, which is being called _before_ `self.labels` is fully realized. To be clear, the only consequence of this is that labels are not properly being displayed in the UI - because the agent queries for work using its labels, all work is being properly directed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: The settings compiler, compiler.version and cppstd can't be used for a custom compiler Using a custom compiler with a compiler version and cppstd will always raise an error. ```ERROR: The specified 'cppstd=14' is not available for 'compiler compiler.version'. Possible values are []'``` Steps to reproduce: 1. Add a new compiler with a version to the settings.yml 2. Create a profile using this compiler, the compiler version and the cppstd 3. Call conan install with this profile From looking at the code it looks like using a compiler with a version and cppstd is only possible for gcc, clang, apple-clang and Visual Studio. I would expect that the cppstd is not checked for an unknown compiler. Conan version: 1.8.4 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 can't handle Heading with Chinese characters on Japanese Windows OS. Convert following notebook by `ipython nbconvert test.ipynb` will raise Exception: ``` File "C:\Python27\lib\site-packages\ipython-1.0.0_dev-py2.7.egg\IPython\nbconv ert\filters\strings.py", line 83, in add_anchor h = ElementTree.fromstring(py3compat.cast_bytes_py2(html)) File "C:\Python27\lib\xml\etree\ElementTree.py", line 1301, in XML parser.feed(text) File "C:\Python27\lib\xml\etree\ElementTree.py", line 1643, in feed self._raiseerror(v) File "C:\Python27\lib\xml\etree\ElementTree.py", line 1507, in _raiseerror raise err ParseError: not well-formed (invalid token): line 1, column 9 ``` Here is the content of the notebook. I am using a Japanese Windows, the default encoding is: ``` In [1]: from IPython.utils import encoding In [2]: encoding.DEFAULT_ENCODING Out[2]: 'cp932' ``` When call `py3compat.cast_bytes_py2(html)` it can't convert the Chinese characters correctly. ``` { "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "\u6269\u5c55\u7c7b\u578b(cdef\u7c7b)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "\n" ], "language": "python", "metadata": {}, "outputs": [] } ], "metadata": {} } ] } ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Feature/#2439 prefect server telemetry **Thanks for contributing to Prefect!** Please describe your work and make sure your PR: - [x] adds new tests (if appropriate) - [x] updates `CHANGELOG.md` (if appropriate) - [x] updates docstrings for any new functions or function arguments, including `docs/outline.toml` for API reference docs (if appropriate) Note that your PR will not be reviewed unless all three boxes are checked. ## What does this PR change? This PR closes #2467 and adds some minimal telemetry to Prefect Server. ## Why is this PR important? This is the first step into collecting usage information that can help the Prefect team understand how Prefect Server is being used and how we can make it better. Can you help me debug this systematically and explain your reasoning?