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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Allow scrolling with j, k on IPython's qtconsole's pager System/version details: ``` {'commit_hash': 'be0cc2b', 'commit_source': 'installation', 'default_encoding': 'UTF-8', 'ipython_path': '/usr/local/lib/python2.7/dist-packages/IPython', 'ipython_version': '2.3.0', 'os_name': 'posix', 'platform': 'Linux-3.2.0-65-generic-x86_64-with-Ubuntu-12.04-precise', 'sys_executable': '/usr/bin/python', 'sys_platform': 'linux2', 'sys_version': '2.7.3 (default, Feb 27 2014, 19:58:35) \n[GCC 4.6.3]'} ``` IPython has a pager, which comes when I type `?<CR>`, for example, or check for a long docstring. On my standard IPython, the pager allows scrolling with j and k (this is the `LESS` pager). On `qtconsole`, it is not calling that pager, but instead present a page with a side scroller, and I can scroll with the keys, but not with j and k, which is a little bit annoying (only a little bit, but enough to make me report an issue!) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: [Notebook] Ipython Kernel does not start if disconnected from internet(/network?) Hi, If I am not connected to the internet, I cannot execute "ipython notebook". sucessfully. I get the following error. gaierror: [Errno -9] Address family for hostname not supported (full traceback here: http://pastebin.com/sfEgXay8) If I am connected to the internet, everything works as expected. I do not have a network available that is not connected to the internet, to test if a network connection or internet is required. (I suspect its just a network connection that is required) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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] Error when calling conanfile.info.clone() I am trying to achieve VS downward compatibility by using the new feature in package info. I have the following method: ``` def enable_visual_studio_downward_compatibility(conanfile): if conanfile.settings.compiler == "Visual Studio" and conanfile.settings.compiler.version == "16": for version in ("15", "14"): compatible_pkg = conanfile.info.clone() compatible_pkg.settings.compiler.version = version conanfile.compatible_packages.append(compatible_pkg) if conanfile.settings.compiler == "Visual Studio" and conanfile.settings.compiler.version == "15": for version in ("14"): compatible_pkg = conanfile.info.clone() compatible_pkg.settings.compiler.version = version conanfile.compatible_packages.append(compatible_pkg) ``` And the package uses: ``` def package_id(self): enable_visual_studio_downward_compatibility(self) ``` From my understanding and reading the documentation, this is the right way to enable compatibility. However, when a VS2019 consumer tries to consume a VS2015 package, I get the following error: ``` ERROR: package/version@user/stable: Error in package_id() method, line 53 enable_visual_studio_downward_compatibility(self) while calling 'enable_visual_studio_downward_compatibility', line 8 compatible_pkg = conanfile.info.clone() ConanException: 'minor_mode' is not a known package_id_mode ``` Is this a bug or am I doing something wrong here? (I am using Conan 1.22.2) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Support storing hparams as a dict ## 🚀 Feature Right now, we assume `model.hparams` is an `argparse.Namespace`. We've had a number of requests to support `hparams` as a simple `dict`. Let's do it. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: ShellTask docs say it returns string instead of bytes Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 detects ARM architecture, but not defined in settings Initial auto detection of system conf (to load in conan.conf), fails, as it creates old "arm" arch, while "armv7", etc is what is defined. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Library search path needs to query the linker The get_library_dirs() function in mesonlib hard-codes paths, and that's completely wrong. The search path for C/C++ libraries is decided by the linker. Specifically, the output of: `gcc -Xlinker --verbose | grep SEARCH_DIR` Gives the list of search directories in order of priority. I don't have a patch for this because I'm not sure how this ties in with the compiler detected/selected during configuration; especially cross-compilation. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Add a way to specify a 'default' test setup Currently, there are two ways to specify a test setup (specifically, a test env) to a build file: 1. `add_test_setup('foo', env: ...)` 2. `test(..., env: ...)` Let's say a specific env var is set by `add_test_setup` to one value, and the same var is set by `test()` to a different value. If you run `meson test` the per-test env vars are used. Sounds good. If you run `meson test --setup=foo`, the per-test env vars are used again! This makes sense, but also leaves a feature gap where you want a 'default' test env that is overriden by either per-test or by a selected test setup. The workaround is to define a `default` setup with `add_test_setup('default', env:...)` and never call `meson test` without a `--setup` argument. Meson should support something like `add_test_setup_default()` which is used by default for all tests when no setup is specified. Everything else stays the same, i.e., per-test env vars override the default setup, and also override any env vars set by the currently-selected test setup. CCing @havardgraff @stianse Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: doc unclear for np.interp https://docs.scipy.org/doc/numpy/reference/generated/numpy.interp.html "Returns the one-dimensional piecewise linear interpolant to a function" doesn't look right - I think it should be "Returns the one-dimensional piecewise linear interpolant to a function, evaluated at x". Also, "The x-coordinates of the interpolated values" should be "The x-coordinates of the points at which to calculate the interpolated values". Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Reuse storage HTTP status code -> exception type mapping in datastore [Existing implementation](https://github.com/GoogleCloudPlatform/gcloud-python/blob/56daf8c248be400f69e8c292743a897ea83c34cb/gcloud/storage/exceptions.py#L158) [where we would use it](https://github.com/GoogleCloudPlatform/gcloud-python/pull/506#discussion_r22629787) Reuse storage HTTP status code -> exception type mapping in datastore [Existing implementation](https://github.com/GoogleCloudPlatform/gcloud-python/blob/56daf8c248be400f69e8c292743a897ea83c34cb/gcloud/storage/exceptions.py#L158) [where we would use it](https://github.com/GoogleCloudPlatform/gcloud-python/pull/506#discussion_r22629787) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Inspect requests inside a function call should be smarter about what they inspect. Previously, `func(a, b, <shift-tab>` would give information on `func`, now it gives information on `b`, which is not especially helpful. This is because we removed logic from the frontend to make it more language agnostic, and we have not yet reimplemented that on the frontend. For 3.1, we should make it at least as smart as 2.x was. The quicky and dirty approach would be a regex; the proper way is tokenising the code. Ping @mwaskom who brought this up on the mailing list. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: add 'conda search --envs' As root, running conda search --envs 'openssl<1.0.2n' would list the location of every known environment containing an outdated version of openssl. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Removal of handle_proxy_407 breaks conda-build Elevating as issue from https://github.com/conda/conda/commit/b993816b39a48d807e7a9659246266f6035c3dcd#commitcomment-19452072 so that it does not get lost. Removal of handle_proxy_407 breaks conda-build (it is used in pypi skeleton code for some reason.) Is there an alternative that I can use instead? Please provide example code. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Potential regression: incorrect selinux context after install **Describe the bug** Potential regression of https://github.com/mesonbuild/meson/issues/1967 The selinux context is wrong after a ninja install. **To Reproduce** ``` # meson.build project('test', 'c', version : '0') systemd = dependency('systemd') systemd_unit_dir = systemd.get_variable(pkgconfig: 'systemdsystemunitdir') install_data( 'test.service', install_dir: systemd_unit_dir # /usr/lib/systemd/system ) ``` ``` $ touch test.service $ meson --prefix=/usr build # ninja -C build install ``` **Current behaviour** ``` $ ls -lZ /usr/lib/systemd/system | grep test -rw-r--r--. 1 root root unconfined_u:object_r:user_home_t:s0 0 Jul 19 04:38 test.service ``` As shown here, the selinux context is `unconfined_u:object_r:user_home_t:s0`. **Expected behavior** Ideally the installed file should have `system_u:object_r:systemd_unit_file_t:s0` (this is what is set if using `/usr/bin/install` or `restorecon -F` afterwards). Otherwise, at least `unconfined_u:object_r:systemd_unit_file_t:s0` (using `restorecon` afterwards) **system parameters** Fedora 36 with default selinux settings Python 3.10.5 Meson 0.62.2 Ninja 1.10.2 ``` $ selinuxenabled $ which restorecon /usr/sbin/restorecon ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Big overhead in parallel transpile for large target systems ### Environment - **Qiskit Terra version**: `0.19.2` - **Python version**: 3.8 - **Operating system**: Linux ### What is happening? There is a large overhead when doing parallel transpilation for circuits targeting larger systems. In the case below they are targeting the 127Q system, but the circuits themselves consist of only `x` gates and are already the correct width. Thus transpilation should just be a pass-through. However, in parallel mode (quad-core machine) it takes 330sec to transpile. If I turn off parallel transpile it takes 3sec. ```python from qiskit import * from mthree.circuits import balanced_cal_strings, balanced_cal_circuits b_strs = balanced_cal_strings(127) cal_circs = balanced_cal_circuits(b_strs) backend = provider.backend.ibm_washington trans_circs = transpile(cal_circs, backend, optimization_level=0) ``` ### How can we reproduce the issue? Run above ### What should happen? Parallel should not give 100x overhead. ### Any suggestions? I am guessing this is copying overhead from forking when the systems are large. Seed transpiler takes list but it is not in the docstrings ### Environment - **Qiskit Terra version**: 0.20 - **Python version**: - **Operating system**: ### What is happening? In order to seed transpiler for a list of circuits a list of seeds is required. This is supported, but not mentioned anywhere: https://github.com/Qiskit/qiskit-terra/blob/a296ca009bf440b5a2cb00f61b8221c6ce9aa044/qiskit/compiler/transpiler.py#L65 ### How can we reproduce the issue? See the docstring ### What should happen? It should be listed as an option because I originally assumed having all processes set with a single int seed was a bug. ### Any suggestions? _No response_ Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Issues with Ellipsis literal in Python 3 There seem to be some differences between the way the Ellipsis literal (`...`) from Python 3 is handled in python vs. ipython: ``` py >>> ... Ellipsis >>> ....__class__ <class 'ellipsis'> ``` ``` py In [1]: ... In [2]: ....__class__ File "<ipython-input-2-f022736bb488>", line 1 .__class__ ^ SyntaxError: invalid syntax ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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, TST: matplotlib backends in doctests As [noted](https://github.com/numpy/numpy/pull/12253#discussion_r239262077) we probably shouldn't have things like `matplotlib.use('agg')` in our docs. I added several such cases in #12253 -- I think my main reason was related to issues of: 1) having matplotlib plots showing (popping) up on my screen locally during doctests because of backend settings / whatever defaults get used with our original docstrings 2) Actual doctest errors, at least locally, without using a fixed backend I'm not sure if the issues are less severe after the doctest->refguide transition now. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: np.random: Use log1p to improve precision This reduces the number of cases when floating point precision makes the argument to `log` become `0` Fixes #17007, probably <!-- Please be sure you are following the instructions in the dev guidelines http://www.numpy.org/devdocs/dev/development_workflow.html --> <!-- We'd appreciate it if your commit message is properly formatted http://www.numpy.org/devdocs/dev/development_workflow.html#writing-the-commit-message --> Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Introspection API: missing info about `install_subdir` `meson-info/intro-installed.json` does not contain any information about files/directories installed via `install_subdir`. PS: `meson-logs/install-log.txt` contains such info, so it probably could be used as a reference. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Extension manager should be as helpful as labextension for prebuilt extensions Currently, `jupyter labextension uninstall` and `jupyter labextension list` give extra information for packages with an `install.json`, namely listing the package manager and package name, and also the uninstall instructions. The extension manager should give similar information for those just using the UX. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: restorecon called with empty input **Describe the bug** If there is nothing to install, `ninja install` shows a slightly misleading restorecon error **To Reproduce** Basically empty `meson.build` ``` project('empty') ``` and then: ``` meson build cd build ninja install ``` yields: ``` [0/1] Installing files. Failed to restore SELinux context of installed files... Standard output: Standard error: restorecon: SELinux: Could not get canonical path for restorecon: No such file or directory. Nothing to install. ``` **Expected behavior** No error message. **System parameters** Seen with the Fedora 31 Meson package (meson-0.52.1-1.fc31.noarch). **Note** Note the extra space before restorecon in the message. What happens is that restorecon is called with an empty input in `restore_selinux_contexts()` ``` out, err = proc.communicate(input=b'\0'.join(os.fsencode(f) for f in selinux_updates) + b'\0') ``` telling it to process a file with name '', where it shouldn't be called at all, because `selinux_updates` is empty. Should be easily fixable with a `if not selinux_updates: return`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: abort-on-container-exit does not work as expected ``` > uname -a Linux mycomputername 3.13.0-77-generic #121-Ubuntu SMP Wed Jan 20 10:50:42 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux > docker -v Docker version 1.10.1, build 9e83765 > docker-compose -v docker-compose version 1.6.0, build d99cad6 ``` According to the docs https://docs.docker.com/compose/reference/up/, `--abort-on-container-exit` should > Stop all containers if any container was stopped. docker-compose.yml: ``` version: "2" services: loop1: image: ubuntu:latest command: bash -c 'for i in {1..5}; do echo $$i && sleep 1; done' stop_signal: SIGKILL loop2: image: ubuntu:latest command: bash -c 'for i in {1..10}; do echo $$i && sleep 1; done' stop_signal: SIGKILL ``` After `docker-compose up --abort-on-container-exit` both containers start sending log messages. When `loop1` exits, documentation suggests that `loop2` will also be stopped. This does not happen, which can be confirmed by executing `docker-compose ps` shortly after `loop1` exits. An other issue which may be related: When hitting `Ctrl-C` after `docker-compose up` I would expect this: ``` ^CGracefully stopping... (press Ctrl+C again to force) Stopping dockercompose_loop1_1 ... done Stopping dockercompose_loop2_1 ... done ``` This is only happening occasionally, most of the time I get this instead: ``` ^CERROR: Aborting. ``` Also, the containers remain up. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: No autodiff on linalg.solve Dear jax team, after recent improvements to `linalg.solve` (thanks again!) I found that it has some issues with being autodiff'ed. I have not yet digged into the error messages, but they rather sound like a minute error in handling the shapes than some fundamental limitation. ```python import jax import jax.numpy as np import numpy as onp @jax.jit def solve(A, b): return np.linalg.solve(A, b) def to_gpu(arr): return jax.device_put(arr.astype(onp.float32)) A = to_gpu(onp.random.rand(100, 3, 3)) b = to_gpu(onp.random.rand(100, 3)) x = solve(A, b) assert onp.allclose(jax.vmap(np.dot)(A, x), b, atol=1e-4, rtol=1e-4) print("# BATCHED") try: jac0 = jax.jacobian(solve, argnums=0)(A, b) # error except Exception as e: print(e) # triangular_solve requires both arguments to have the same number of dimensions and equal batch dimensions, got (100, 3, 3) and (100, 100, 3, 3) try: jac1 = jax.jacobian(solve, argnums=1)(A, b) # error except Exception as e: print(e) # 'Zero' object is not subscriptable print("# SINGLE") try: jac0 = jax.jacobian(solve, argnums=0)(A[0], b[0]) # fine except Exception as e: print(e) try: jac1 = jax.jacobian(solve, argnums=1)(A[0], b[0]) # error except Exception as e: print(e) # 'Zero' object is not subscriptable ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Rename CMAKE_SHARED_LINK_FLAGS I couldn't find any CMake documentation for CMAKE_SHARED_LINK_FLAGS which shows up when generating conanbuildinfo.cmake. Is this a typo that should be [CMAKE_SHARED_LINKER_FLAGS](https://cmake.org/cmake/help/v3.0/variable/CMAKE_SHARED_LINKER_FLAGS.html)? I'm not currently conan with CMake myself, so I haven't tested if it causes any errors at the moment. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the kubeflow/pipelines codebase. Here's the problem: Support Azure authentication for pipeline ops Pipeline authors can currently authenticate against GCP by adding a ".apply(gcp.use_gcp_secret('user-gcp-sa'))" suffix to their ops. This makes the GCP secret provisioned during kubeflow setup available to the op container. However there is no way to do this on Azure Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [Default pipelines] Add a revision tag to all pipelines ### Feature request Continuing the discussion here: https://github.com/huggingface/transformers/pull/17286#discussion_r893716733 To make sure that the default pipelines models - some of which - are community contributed models and thus somewhat "out-of-control" for transformers, it'd be important to add a `revision` tag to those default models (maybe actually to all pipeline models). ### Motivation To ensure that changing checkpoints don't break transformers ### Your contribution Can open a quick PR Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Zsh.exe not supported on MSYS2 The following error is reported in a MSYS2 zsh shell: ``` ➜ dotfiles git:(master) ✗ source activate py35_32 Traceback (most recent call last): File "C:\Miniconda3\Scripts\conda-script.py", line 5, in <module> sys.exit(main()) File "C:\Miniconda3\lib\site-packages\conda\cli\main.py", line 48, in main activate.main() File "C:\Miniconda3\lib\site-packages\conda\cli\activate.py", line 105, in main shelldict = shells[shell] KeyError: 'zsh.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 huggingface/transformers codebase. Here's the problem: Agent trying to load remote tools when being offline ### System Info Transformers 4.31 Python 3.11.4 Windows 10 ### Who can help? _No response_ ### Information - [ ] The official example scripts - [ ] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction Code: ``` import os os.environ['TRANSFORMERS_OFFLINE'] = '1' from transformers import LocalAgent, AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b-instruct", trust_remote_code=True) tokenizer = AutoTokenizer.from_pretrained("tiiuae/falcon-7b-instruct") agent = LocalAgent(model=model, tokenizer=tokenizer) # Error here agent.run("my query"); ``` Error: ``` Max retries exceeded with url: /api/spaces?author=huggingface-tools ``` ### Expected behavior To not access the remote tools. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: 'Table.insert_data' does not support Datetime values Seems like the python api library does not support native python datetime objects for inserting BigQuery DateTime-values. ``` INFO:root:Sending load request [(1L, 'as', datetime.datetime(2014, 2, 1, 0, 0), 'asdasd'), (2L, 'ds', datetime.datetime(2014, 2, 2, 0, 0), 'asdsad')] Traceback (most recent call last): ... File "/home/chris/.local/lib/python2.7/site-packages/google/cloud/bigquery/table.py", line 770, in insert_data data=data) File "/home/chris/.local/lib/python2.7/site-packages/google/cloud/_http.py", line 326, in api_request data = json.dumps(data) File "/usr/lib/python2.7/json/__init__.py", line 244, in dumps return _default_encoder.encode(obj) File "/usr/lib/python2.7/json/encoder.py", line 207, in encode chunks = self.iterencode(o, _one_shot=True) File "/usr/lib/python2.7/json/encoder.py", line 270, in iterencode return _iterencode(o, 0) File "/usr/lib/python2.7/json/encoder.py", line 184, in default raise TypeError(repr(o) + " is not JSON serializable") TypeError: datetime.datetime(2014, 2, 1, 0, 0) is not JSON serializable ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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_plan` metadata has full path in destination instead of being based on a placeholder **Describe the bug** Introduced in 0.63.0. Discovered in https://github.com/FFY00/meson-python/issues/95. **To Reproduce** Package: https://github.com/FFY00/meson-python/tree/main/tests/packages/purelib-and-platlib Generated metadata: ```json { "targets": { "/home/anubis/git/mesonpy/tests/packages/purelib-and-platlib/builddir/plat.cpython-310-x86_64-linux-gnu.so": { "destination": "/usr/lib/python3.10/site-packages/plat.cpython-310-x86_64-linux-gnu.so", "tag": "runtime" } }, "python": { "/home/anubis/git/mesonpy/tests/packages/purelib-and-platlib/pure.py": { "destination": "{py_purelib}/pure.py", "tag": "runtime" } } } ``` **Expected behavior** It should generate the following metadata instead ```json { "targets": { "/home/anubis/git/mesonpy/tests/packages/purelib-and-platlib/builddir/plat.cpython-310-x86_64-linux-gnu.so": { "destination": "{moduledir_shared}/plat.cpython-310-x86_64-linux-gnu.so", "tag": "runtime" } }, "python": { "/home/anubis/git/mesonpy/tests/packages/purelib-and-platlib/pure.py": { "destination": "{py_purelib}/pure.py", "tag": "runtime" } } } ``` **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? No * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.): Reproduced on many Linux distros at least * what Python version are you using e.g. 3.8.0: 3.10.5 * what `meson --version`: 0.63.0 * what `ninja --version` if it's a Ninja build: 1.10.2.git.kitware.jobserver-1 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Support for gcc 6.1 and clang 3.8 I've tried building the sample project in the Getting started section, but at first I ran into connan not finding any compiler on my system (arch linux with both gcc 6.1 and clang 3.8 installed) ``` $ conan It seems to be the first time you run conan Auto detecting your dev setup to initialize conan.conf ERROR: Unable to find a working compiler Default conan.conf settings os=Linux arch=x86_64 build_type=Release *** You can change them in ~/.conan/conan.conf *** *** Or override with -s compiler='other' -s ...s*** ``` I tried fixing this by specifying the settings manually as the error message suggests, but it wouldn't let me use a newer version of both GCC and Clang than the ones conan knows about. ``` $ conan install .. -s compiler=gcc -s compiler.libcxx=libstdc++11 -s compiler.version=6.1 --build ERROR: '6.1' is not a valid 'settings.compiler.version' value. Possible values are ['4.4', '4.5', '4.6', '4.7', '4.8', '4.9', '5.1', '5.2', '5.3'] ``` and ``` $ conan install .. -s compiler=clang -s compiler.libcxx=libc++ -s compiler.version=3.8 --build ERROR: '3.8' is not a valid 'settings.compiler.version' value. Possible values are ['3.3', '3.4', '3.5', '3.6', '3.7'] ``` Is there a way to work around this? It seems reasonable to use any compiler/version I want, no? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Checkpointing with SLURM #### What is your question? I have a pytorch-lightning code with checkpointing that runs well on my desktop. But when I run it on our cluster with SLURM, the checkpoints do not get saved. #### Code ```python model = Predictor(args) check = ModelCheckpoint(save_top_k=1, verbose=True, monitor='val_acc', mode='max', filepath='checks/{epoch}) trainer = pl.Trainer(checkpoint_callback=check, max_epochs=100, gpus=1) trainer.fit(model) ``` #### What have you tried? I run it in the cluster with the following code: ```bash salloc -G 1 srun python main.py ``` #### What's your environment? - OS: Linux - Packaging conda Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: [Doc] Something wrong in description of 'DistilBertForSequenceClassification' in doc I think the description of input_ids (one of the parameters) of [DistilBertForSequenceClassification](https://huggingface.co/transformers/model_doc/distilbert.html#distilbertforsequenceclassification) is not correct. I think the input_ids should be `torch.LongTensor of shape (batch_size, sequence_length)`, rather than `torch.LongTensor of shape (batch_size, num_choices)`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: python.find_installation() fails on Windows The following meson.build file fails to build on Windows using a meson MSI installed package: ``` project('foo') python = import('python').find_installation() ``` Same with both meson 0.60.0 and 0.61.1 Complete output: ``` The Meson build system Version: 0.61.1 Source dir: C:\temp Build dir: C:\temp\build Build type: native build Project name: foo Project version: undefined Host machine cpu family: x86_64 Host machine cpu: x86_64 Program python3 found: YES (C:\Program Files\Meson\meson.exe runpython) meson.build:3:0: ERROR: <PythonExternalProgram 'python3' -> ['C:\\Program Files\\Meson\\meson.exe', 'runpython']> is not a valid python or it is missing distutils A full log can be found at C:\temp\build\meson-logs\meson-log.txt ``` This appears to be a regression of #5217 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: MPL drawer does not handle unitaries well   ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior?  vs  ### 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 googleapis/google-cloud-python codebase. Here's the problem: Oslogin: needs 'synth.py' Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Plot_hinton imaginary section displays incorrect elements ### Environment - **Qiskit Terra version**: 0.19.1 - **Python version**: 3.7.9 - **Operating system**: ios ![Screenshot 2022-07-12 at 11 09 39 AM](https://user-images.githubusercontent.com/65215560/178400511-31621abb-5fba-470a-a892-09491c30f29b.png) ### What is happening? In the Visualization section: plot_hinton It displays 2 plots : one for real and one for imaginary There are 2 issues: 1. The imaginary elements displays the elements incorrect for real and negative numbers. 2. The size of the square of the elements are not equal for the imaginary plot ### How can we reproduce the issue? ![Screenshot 2022-07-12 at 11 07 33 AM](https://user-images.githubusercontent.com/65215560/178400081-77179217-5273-433c-9c51-d1eed8db195b.png) ### What should happen? We expect the following plot_hinton ![Screenshot 2022-07-12 at 11 12 22 AM](https://user-images.githubusercontent.com/65215560/178400621-fe67b631-040b-408e-9423-acfd764981fb.png) ### Any suggestions? We make few simple changes in the state_visualizaton.py file and we can obtain the correct plot for the imaginary section in the plot_hinton. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Remove outdated version compatibility check for extensions This [check](https://github.com/jupyterlab/jupyterlab/blob/53a60f7016a96787765ba40851a4200d8cd5a463/jupyterlab/labextensions.py#L502) needs to be removed in light of the big split until we have a replacement system. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Firestore: collection_group query with start_after passing a snapshot Problem: start_after() does not work for collection group queries when passing a document snapshot. #### Environment details python 3.7 google-cloud-firestore version 1.2 #### Steps to reproduce 1. Setup a Google Cloud project with Firestore in Native Mode. #### Code example ``` parent_ref = db.collection('parents').document('parent') parent_ref.set({}) child_data = {'name': 'Tom'} child_ref = parent_ref.collection('children').document('child') child_ref.set(child_data) # works db.collection_group('children').where('name', '==', 'Tom').stream() # works db.collection_group('children').where('name', '==', 'Tom').start_after(child_data).stream() # does not work child_snapshot = child_ref.get() db.collection_group('children').where('name', '==', 'Tom').end_before(child_snapshot).stream() ``` #### Stack trace ``` Traceback (most recent call last): File "C:/Users/tombr/Documents/GitHub/trader-python/scripts/gcloud/firestore/test.py", line 22, in <module> db.collection_group('children').where('name', '==', 'Tom').end_before(child_snapshot).stream() File "C:\Users\tombr\Documents\GitHub\trader-python\venv\lib\site-packages\google\cloud\firestore_v1\query.py", line 529, in end_before return self._cursor_helper(document_fields, before=True, start=False) File "C:\Users\tombr\Documents\GitHub\trader-python\venv\lib\site-packages\google\cloud\firestore_v1\query.py", line 420, in _cursor_helper "Cannot use snapshot from another collection as a cursor." ValueError: Cannot use snapshot from another collection as a cursor. ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Support multiple profiles on command-line for composition Profiles support static composition today via `include(other_profile)` directive. Where this mechanism breaks down is when users want to combine partial profiles with completely unrelated information, and to do that today you need an intermediate profile which `includes()` both of the things you really want. So for example, I can't have four special ffmpeg-related profiles defining `ffmpeg` options in the `ffmpeg` project directory, and compose them with profiles that define the common settings of my organization: I want to be able to do: `conan create . bincrafters/testing -pr msvc_15_x64_release_mt -pr ffmpeg_with_options0` and then: `conan create bincrafters/testing -pr gcc_8_x86_debug -pr ffmpeg_with_options3` To do this today, the only feasible approach is to use one profile or the other, and then pass the rest of the items on the CLI manually. Alternatively, you would have to create a bunch of "intermediate" profiles for every possible combination, which is clearly nonsensical. Obviously, this feature would require conflict resolution, but something like the order they appear on the command-line should suffice. I am sure conflict resolution was a factor with `include()`, so this is not a new problem. - [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 dagster-io/dagster codebase. Here's the problem: Run failure sensors don't inject pythonic resources ### Dagster version 1.3.6 ### What's the issue? When creating a sensor, I can declare constructor parameters to have pythonic resources injected when that sensor runs. However when creating a run failure sensor, I get an error trying to do the same. For example, I have a pythonic resource class called ```DbConnection```. If I declare this run failure sensor: ```python @run_failure_sensor( name="project_processing_failed_sensor" ) def project_processing_failed_sensor( context: RunFailureSensorContext, db_connection: DbConnectionResource): ``` I can enable the sensor, however when a job fails and initiates it - I get this error: _TypeError: project_processing_failed_sensor() missing 1 required positional argument: 'db_connection_ ### What did you expect to happen? I would expect a run failure sensor to support pythonic resources in the constructor. ### How to reproduce? 1. Create any job that will throw an error and fail when started. 1. Create a pythonic resource class. 1. Create a run failure sensor that takes that pythonic resource class as a parameter. 1. Start dagster (I was testing in dev though my prod environment is on k8). 1. Start the new run failure sensor in the "sensors" area of the UI so it is enabled. 1. Start the job that will fail and wait for it to fail. 1. You should see an error in the logs: _TypeError: project_processing_failed_sensor() missing 1 required positional argument: [name of your pythonic resource variable]_ ### Deployment type Local ### Deployment details _No response_ ### Additional information _No response_ ### Message from the maintainers Impacted by this issue? Give it a 👍! We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: No module named 'vcr': requirement is missing (vcrpy) <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.10.1 - **Python version**: 3.7.3 - **Operating system**: windows 10 ### What is the current behavior? Fresh qiskit installation inside a new environment on windows 10. In one of the terra tutorial (using_the_transpiler) `from qiskit.test.mock import FakeTokyo` is failing 'ModuleNotFoundError: No module named vcr' ### Suggested solutions 'pip install vcrpy' 'vcrpy' needs to be added in requirements. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: How to remove `v_num` from the progress bar ? Version: 0.7.3 The `v_num` is automatically added to progress_bar when some logger is used It is not much a problem for tensorboard when v_num is just a simple number But v_num for mlfow takes a lot of space Traning step ``` def training_step(self, batch, batch_nb): .... log = { "trn_loss": 0.1, "lr": 0.001 } return {"loss": loss, "log": log, "progress_bar": log} ``` Progress bar when using with mlflow logger ``` [00:33<00:46, 1.62s/it, loss=0.740, lr=8e-6, trn_loss=0.659, v_num=18_28bc973b1f0e42e8b4d664d1ef7812f6] ``` Also, `loss` is automatically added to `progress_bar` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Optional dependencies are required for deprecated logging module 🐛 Bug There is a backwards compatibility issues coming from PR #767. Notably, if a user doesn't have any of the extra logging dependencies then they'll be an import error. ### To Reproduce 1. Remove all logging dependencies from your environment (E.g. comet) 2. Depend on the deprecated pytorch_lightning.logging package and run ### Expected behavior We expect to maintain backwards compatibility here so optional dependencies shouldn't be required. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: wrap-git's clone-recursive does not lead to submodules being updated to specified revision When adding a subproject and specifying `clone-recursive = true` as well as `revision = somebranch`, meson will clone the git repository recursively and then checkout `somebranch`. It will however not call `git submodule update` (or it would probably best to call `git submodule update --checkout --init --recursive`), leaving submodules of the cloned repository in the revision that `master` references them in. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] Xcode 14.2 with macos sdk 13.1 not working ### Environment details * Operating System+version: MacOS 13.2 * Compiler+version: Xcode 14.2 * Conan version: 1.59.0 * Python version: 3.8 ### Steps to reproduce Setting macos sdk to 13.0 and building cmake on a default install of xcode 14.2 fails ### Logs _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: RFC: remove `return_failed` kwarg from FlowRunner.run()? The more that we run Flows in distributed contexts, and use helpers like `raise_on_exception`, the less useful I think the `return_failed` kwarg is for `FlowRunner.run()`. In particular, it requires some messy code because it can only be satisfied by gathering every single task state to the FlowRunner process, then filtering. If people are finding it useful, then I retract this, but IMO it is not as useful as it used to be. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Latex drawer does not support controlled gates ### Information - **Qiskit Terra version**: master - **Python version**: 3.7 - **Operating system**: MacOS ### What is the current behavior? The latex drawer does not print controlled gates correctly. ### Steps to reproduce the problem ``` qr = QuantumRegister(3, 'q') circuit = QuantumCircuit(qr) circuit.append(HGate().control(2), [qr[0], qr[1], qr[2]]) circuit.draw('latex') ``` ![image](https://user-images.githubusercontent.com/766693/73392692-4bb03700-42a8-11ea-9509-597296b11c64.png) ### What is the expected behavior? Something along the text drawer: ``` q_0: |0>──■── │ q_1: |0>──■── ┌─┴─┐ q_2: |0>┤ H ├ └───┘ ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Change how we use mypy in CI Currently we use `mypy` as part of our CI process. This frequently leads to extra work trying to appease the type checker for code that is definitely correct (see e.g. https://github.com/PrefectHQ/prefect/pull/2406). We *do* want mypy to check that the type signatures of public methods actually match their implementation, but we *don't* want mypy to error for internal type checking that it thinks is invalid (internal errors can be caught by tests, and frequently the type checker is more of a burden than an aid). Perhaps there's a mypy configuration setting we can change to get this behavior? We also currently run the mypy tests in two locations: - As part of the `Check code style and docs` build - As part of a test in `tests/test_formatting.py`, in the `Run tests` build These two CI builds have different environments (in particular, prefect (and dependencies) aren't installed in the former but are in the latter). This difference can lead to mypy tests passing in one environment and failing in the other. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: If more kwargs/args than required are supplied to `CmdDef` and error is not raised <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: 3.7 - **Operating system**:OSX ### What is the current behavior? If additional kwargs/args are supplied to `cmd_def.get` no error is raised and a result is still returned if the required parameters are present. ### Steps to reproduce the problem ```python from qiskit.test.mock import FakeOpenPulse2Q from qiskit.pulse import CmdDef backend = FakeOpenPulse2Q() config = backend.configuration() defaults = backend.defaults() cmd_def = CmdDef.from_defaults(defaults.cmd_def, defaults.pulse_library) print(cmd_def.get_parameters('u1', 0)) print(cmd_def.get('u1', 0, 0)) print(cmd_def.get('u1', 0, P1=0, P2=1, P3=2)) ``` ### What is the expected behaviour? An error should be raised if unnecessary args/kwargs are supplied. Similarly for an insufficient number of args/kwargs if partial binding is not supported. ### Suggested solutions Add error checks. @nkanazawa1989 could you check if your PR #2493 fixes this? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Abort a DAG Run **Description** It would be great having a option to abort a DAG Runs through the REST API. **Use case / motivation** The proposed input params would be: - DAG_ID - DAG_RUN_ID The DAG Run should abort all its tasks running and mark them as "failed". **Are you willing to submit a PR?** **Related Issues** Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: The read_rows method in the bigtable client does not provide an interface to specify open/closed key ranges The read_rows method of the Table class in the bigtable client is designed such that the results are inclusive of the start key but exclusive of the end key. That seems a reasonable choice, until one considers that keys may be designed to accumulate in reverse order (as recommended in the docs: https://cloud.google.com/bigtable/docs/schema-design-time-series). In that case, it is necessary to flip the natural order of the keys to process a query -i.e. if I query from time t0 to t1, I will create two corresponding keys k0 and k1, but k1 will be the start key and k0 the end key in the call to read_rows. Currently, the specification of open and closed for the start and end key is hard-coded in the _create_row_request method, and that makes it difficult for an end user of the library to alter the default behavior. Consider adding an option to the read_rows method, or better yet, an attribute of a Table instance, such that queries can implement different behaviors with respect to the start and end keys. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Remote URL cannot be accessed for git < 2.7 if SSH isn't working If the system git is < 2.7, and the URL is one that git expects to use SSH access on, but SSH isn't working for any reason, then `self.repo.git.remote("show", self.name)` [here](https://github.com/gitpython-developers/GitPython/blob/master/git/remote.py#L539) in remote.py will fail with: ```python GitCommandError: Cmd('git') failed due to: exit code(128) cmdline: git remote show origin stderr: 'Permission denied (publickey). fatal: Could not read from remote repository. Please make sure you have the correct access rights and the repository exists.' ``` or related errors if SSH is not installed or on the path. This can be fixed by falling back to `git config --get remote.%s.url' % self.name` which just reads the URL directly from the configuration. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] `provide` conflict is not informative ### Environment details * Operating System+version: Ubuntu 22.04 * Compiler+version: gcc 12.0.1 * Conan version: 2.0.2 * Python version: 3.10.6 ### Steps to reproduce Create a conanfile with for example requirements to `libjpeg` & `libjpeg-turbo` (the later has `provides = "libjpeg"`) Call conan install against this conanfile ### Logs ``` ERROR: provide conflict ``` This message doesn't show the list of conflicted recipes. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the celery/celery codebase. Here's the problem: link_error tasks not run eagerly when using apply() ## Checklist - [x] I have included the output of ``celery -A proj report`` in the issue. (if you are not able to do this, then at least specify the Celery version affected). - [x] I have verified that the issue exists against the `master` branch of Celery. Tested using the included docker setup ``` $ celery -A tasks report No handlers could be found for logger "vagrant" software -> celery:4.2.0 (windowlicker) kombu:4.2.1 py:2.7.14 billiard:3.5.0.4 py-amqp:2.3.2 platform -> system:Linux arch:64bit imp:CPython loader -> celery.loaders.app.AppLoader settings -> transport:pyamqp results:redis://redis/ broker_url: u'amqp://guest:********@rabbit:5672//' result_backend: u'redis://redis/' ``` ## Steps to reproduce Add `tasks.py`: ```python # tasks.py @app.task def on_failure(): print 'from on_failure' @app.task def error(): raise ValueError('oh no!') ``` Run the tasks: ```python >>> from tasks import error, on_failure >>> error.apply(link_error=on_failure.si()).get() ``` ## Expected behavior Both `error` and `on_failure` to be executed eagerly. ## Actual behavior `error` is executed eagerly and `on_failure` is executed on a worker. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Remove SLURM warning when in interactive mode No need to show the "we launched processes for you" warning when in interactive SLURM mode. Suggested by @adefazio Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Explicitly depend on setuptools Context: #3295 We should explicitly depend on a minimum version of setuptools to get around problems installing our packages if setuptools is too old. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: nomkl tests running on Windows fail Appears some `nomkl` feature tests are being run on Windows and [failing on CI]( https://ci.appveyor.com/project/ContinuumAnalyticsFOSS/conda/builds/20408292/job/q40u301c397wpyji?fullLog=true#L1181 ). IIUC `nomkl` does not exist on Windows. So this is as expected. Should these tests be marked as known fails, skipped, or similar? Conda Init (v4.6.0b1 ) --system cmd.exe chokes ``` # >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<< Traceback (most recent call last): File "c:\users\wani\downloads\repos\conda\conda\exceptions.py", line 1001, in __call__ return func(*args, **kwargs) File "c:\users\wani\downloads\repos\conda\conda\cli\main.py", line 84, in _main exit_code = do_call(args, p) File "c:\users\wani\downloads\repos\conda\conda\cli\conda_argparse.py", line 81, in do_call exit_code = getattr(module, func_name)(args, parser) File "c:\users\wani\downloads\repos\conda\conda\cli\main_init.py", line 52, in execute anaconda_prompt) File "c:\users\wani\downloads\repos\conda\conda\core\initialize.py", line 106, in initialize run_plan(plan2) File "c:\users\wani\downloads\repos\conda\conda\core\initialize.py", line 552, in run_plan result = globals()[step['function']](*step.get('args', ()), **step.get('kwargs', {})) File "c:\users\wani\downloads\repos\conda\conda\core\initialize.py", line 1196, in init_long_path _write_windows_registry(target_path, "1", winreg.REG_DWORD) File "c:\users\wani\downloads\repos\conda\conda\core\initialize.py", line 1143, in _write_windows_registry winreg.SetValueEx(key, value_name, 0, value_type, value_value) ValueError: Could not convert the data to the specified type. `$ C:\ProgramData\MinicondaX\Scripts\conda-script.py init --system cmd.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 ipython/ipython codebase. Here's the problem: atomic write umask Reported on gitter.im/ipython/ipython by @bigzachattack Sadly no one was on the chat at that time, too busy with a big bearded men dressed in red trying to smuggle things in our houses through the cheminee. ``` I noticed today working in master, that any new notebook I create or copy has permissions 0o600 and ignores my umask. In IPython.utils.io.atomic_writing() uses mkstemp() to create a temporary file for the atomic write. According to the python docs, mkstemp creates files as 0o600. After the write succeeds to the tmp file, _copy_metadata is called to copy the metadata from the original file to destination file. It will throw an exception if there is no source file. Thus when the notebook is copied into the notebook dir, it has permissions 0o600. Is this desired behavior, temporary, or a bug? I work in an environment where are default permissions are 0o660 to allow for users to easily share information, so defaulting new notebooks to 0o600 seriously inhibits this ability. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Feature Request: Test Groups Hi, It would be really nice to somehow specify a different set of tests to run. I have some fast running and some really slow running tests and it would be really nice to somehow switch between the two. I can somewhat do this currently by changing a flag via mesonconf, but adding a new target like `ninja test group1` or `ninja test-group1` would be more ideal. UPDATE: Also, the ability to run a single test by itself would also be hepful. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 0.52.1 breaking shared linking with D **Describe the bug** Since meson 0.52.1 building my project does succeed, but running the resulting binary doesn't work. See the following ldd output: ``` /lib/ld-musl-x86_64.so.1 (0x7f1f79f0c000) Error loading shared library source/corecollector/libcorecollector.so.0.0.1: No such file or directory (needed by /usr/bin/corectl) libhunt.so.0 => /usr/local/lib/libhunt.so.0 (0x7f1f7999e000) libphobos2-ldc-shared.so.88 => /usr/lib/libphobos2-ldc-shared.so.88 (0x7f1f7952e000) libdruntime-ldc-shared.so.88 => /usr/lib/libdruntime-ldc-shared.so.88 (0x7f1f79419000) libgcc_s.so.1 => /usr/lib/libgcc_s.so.1 (0x7f1f79405000) libc.musl-x86_64.so.1 => /lib/ld-musl-x86_64.so.1 (0x7f1f79f0c000) ``` With meson 0.51.2 this works: ``` ldd /usr/bin/corectl /lib/ld-musl-x86_64.so.1 (0x7fe1af538000) libcorecollector.so.0 => /usr/lib/libcorecollector.so.0 (0x7fe1af409000) libhunt.so.0 => /usr/local/lib/libhunt.so.0 (0x7fe1aef15000) libphobos2-ldc-shared.so.88 => /usr/lib/libphobos2-ldc-shared.so.88 (0x7fe1aeaa5000) libdruntime-ldc-shared.so.88 => /usr/lib/libdruntime-ldc-shared.so.88 (0x7fe1ae990000) libgcc_s.so.1 => /usr/lib/libgcc_s.so.1 (0x7fe1ae97c000) libc.musl-x86_64.so.1 => /lib/ld-musl-x86_64.so.1 (0x7fe1af538000) ``` **To Reproduce** Build https://github.com/Cogitri/corecollector **system parameters** Native build on Alpine Linux Edge with meson 0.52.1. Tested with latest scm (being 585ccfc78922393a375160ee3d994ddfcd716f6a) too. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: QasmError when parsing quantum volume qc.qasm() <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.9.0.dev0+de3f909 - **Python version**: 3.7.4 - **Operating system**: Windows Subsystem for Linux ### What is the current behavior? If you pass a quantum volume circuit's qc.qasm() into qc.from_qasm_str, which calls qiskit's qasm parser, throws a QasmError. The same error occurs for other circuits besides quantum volume. ### Steps to reproduce the problem import qiskit.ignis.verification.quantum_volume as qv qcs = qv.qv_circuits(qubit_lists=[[0,1]]) qc = qcs[0][0][0] print(qc.qasm() + "\n") new_qc = qc.from_qasm_str(qc.qasm()) ### What is the expected behavior? Not throwing an error and parsing correctly. ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [question] Are there environment difference between the "developer workflow" and `conan create`? While moving one of our _fat_ dependencies from prebuilt binaries (packaged through Conan ; ) to a recipe actually building the thing, we are encountering a complication we never encountered for our other recipes: We wrote the recipe, following the recommendend [Package Development Flow](https://docs.conan.io/en/latest/developing_packages/package_dev_flow.html#package-development-flow). The end to end flow works without any error, notably `conan build` command. Yet, when moving to the final step of calling `conan create` on the exact same recipe, the process fails during the `build()` step. Are there known difference between the environments used by the "developer workflow" and `conan create` command that we could investigate to find the source of this failure? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Environment variable to set [general]default_profile To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [ ] 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. This idea was initially proposed at https://github.com/conan-io/conan/issues/1221#issuecomment-403961457 It would be nice if there was an environment variable (perhaps `CONAN_DEFAULT_PROFILE`?) which, if set, would override `[general]default_profile` from `conan.conf `. In an IDE workflow, a project file might be set up to obtain its own dependencies by calling `conan install` (e.g. https://github.com/conan-io/cmake-conan), but it feels wrong to hard-code a desired profile into the call to conan install. Most project systems like this support multiple configurations (e.g. Qt Creator has [kits](http://doc.qt.io/qtcreator/creator-configuring-projects.html), MSVC supports setting up multiple configurations. conan_cmake_settings(...) makes an effort to reverse-engineer the settings from the compiler detection variables, but it's not particularly complete, and in any case a sophisticated profile might have content (e.g. build_requires for toolchains) arguably could never get in this fashion. IDE features to define a build template like this usually have a mechanism to add environment variables to the build invocation, and a way to set the default profile through the environment seems consistent with the existing ability to override specific settings from it using [CONAN_ENV_XXXX_YYYY](https://docs.conan.io/en/latest/reference/env_vars.html#conan-env-xxxx-yyyy). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [question] How to specify 'includedirs'? This refers to Windows and Visual Studio. I try to change default includedirs of a components on Windows, in package_info() method I say self.cpp_info.components["BASE"].includedirs = ['include/Release', 'include'] and get in CONAN_INCLUDE_DIRS: ['include', 'include/Release'] - reverse order! in conanbuildinfo.cmake, I mean I say self.cpp_info.components["BASE"].includedirs = ['include', 'include/Release'] and get in CONAN_INCLUDE_DIRS: ['include', 'include/Release'] - correct, but not what I want What I really want is self.cpp_info.components["BASE"].includedirs = ['include/$(Configuration)', 'include'] but in this case I get CONAN_INCLUDE_DIRS: ['include'] - which is totally wrong Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: AIP-56 - FAB AM - Permissions view Move permissions view to FAB Auth manager Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Inconsistent behavior between FileContentsManager and Contents Manager API docs Discrepancies with [IPEP-27](https://github.com/ipython/ipython/wiki/IPEP-27:-Contents-Service#contents-api) noted while working on a custom subclass of `ContentsManager`: - Where IPEP-27 lists `'modified'` as an expected dictionary key, `FileContentsManager` uses `'last_modified'` instead. - IPEP-27 specifies that all three of `'contents'`, `'format'`, and `'mimetype'` will be null if `contents` is null. In many (possibly all?) cases however, `'mimetype'` is non-null when `'contents` is null. Cf. https://github.com/ipython/ipython/pull/7140. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ParameterTable expects Instructions to be used only once within a circuit See the bug reported in #3008 . The implementation of `ParameterTable` and the associated binding machinery operate under the assumption that a given `Instruction` instance will appear in only one gate in a circuit, but this isn't guaranteed. e.g. a user could write: ``` >>> import qiskit as qk >>> p = qk.circuit.Parameter('p') >>> qc = qk.QuantumCircuit(2) >>> rz = qk.extensions.standard.RZGate(p) >>> qc.append(rz, [0], []) >>> qc.append(rz, [1], []) >>> print(qc) ┌───────┐ q_0: |0>┤ Rz(p) ├ ├───────┤ q_1: |0>┤ Rz(p) ├ └───────┘ >>> qc.bind_parameters({p: 3}) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/Users/kevin.krsulichibm.com/q/qiskit-terra/qiskit/circuit/quantumcircuit.py", line 875, in bind_parameters new_circuit._bind_parameter(parameter, value) File "/Users/kevin.krsulichibm.com/q/qiskit-terra/qiskit/circuit/quantumcircuit.py", line 897, in _bind_parameter instr.params[param_index] = instr.params[param_index].bind({parameter: value}) File "/Users/kevin.krsulichibm.com/q/qiskit-terra/qiskit/circuit/parameterexpression.py", line 68, in bind self._raise_if_passed_unknown_parameters(parameter_values.keys()) File "/Users/kevin.krsulichibm.com/q/qiskit-terra/qiskit/circuit/parameterexpression.py", line 136, in _raise_if_passed_unknown_parameters [str(p) for p in unknown_parameters])) qiskit.exceptions.QiskitError: "Cannot bind Parameters (['p']) not present in expression." ``` Users of `Instruction.repeat` would see the same problem. #3013 worked around this by forcing deepcopies of instructions when broadcasting, but this doesn't resolve the general problem. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Simple Latex typo in u3 gate matrix definition <!-- ⚠ 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? Under the u3 gate definition, the 2nd row of the matrix is written (line 48 of u3.py): e^{i\phi}\sin(\th) & e^{i(\phi+\lambda)\cos(\th)} Notice the code(\th) is in the exponent. ### Steps to reproduce the problem The cos(\th) term should be taken out of the exponent. ### What is the expected behavior? ### Suggested solutions It should be written e^{i\phi}\sin(\th) & e^{i(\phi+\lambda)}\cos(\th) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Undocumented behaviour of `np.concatenate` with `axis=None` ``` >>> a = np.array([[1,2,],[3,4]]) >>> b = a + 10 >>> np.concatenate((a, b), axis=0) array([[ 1, 2], [ 3, 4], [11, 12], [13, 14]]) >>> np.concatenate((a, b), axis=1) array([[ 1, 2, 11, 12], [ 3, 4, 13, 14]]) >>> np.concatenate((a, b), axis=None) array([ 1, 2, 3, 4, 11, 12, 13, 14]) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Move manifest calculation after 'post_export' hook One of the provided hooks is the `post_export` one, it allows the user to affect the conanfile and the export folder, but it is being executed after computing an storing the digest/manifest, so those changes will break the computed hashes. Hash must be computed after returning from the `post_export` hook. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: [envoy] Missing Envoy metrics Agent (v7.26.0) A number of statistics from Envoyproxy are not exposed in Datadog. Amongst others these include the following: https://www.envoyproxy.io/docs/envoy/latest/configuration/security/secret#statistics https://www.envoyproxy.io/docs/envoy/latest/configuration/overview/extension#discovery-service **Steps to reproduce the issue:** 1. Run Envoy with extension_config_discovery configuration 2. Enable Envoy integration in Datadog Agent 3. Double check in Envoy admin page that the following metrics are exposed: ``` http.*.extension_config_discovery.*.update_time http.*.extension_config_discovery.*.version sds.*.key_rotation_failed ``` **Describe the results you received:** The above metrics are not available in any form in Datadog. **Describe the results you expected:** The above metrics are available, preferably with a tag for the specific `sds` name and `extension_config_discovery` name. **Additional information you deem important (e.g. issue happens only occasionally):** Would it be possible to interpret these metrics generically, so that with every new version of Envoy it would pick up such new metrics as well? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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-dbt] load_assets_from_dbt_* should support an exclude parameter, in addition to select ### What's the use case? Both of these parameters are useful for describing subsets of a dbt project, so it'd be nice if both were supported ### Ideas of implementation _No response_ ### Additional information _No response_ ### Message from the maintainers Impacted by this issue? Give it a 👍! We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Abstract Editor Revisit I noticed a problem while writing tests for the `CodeMirrorEditor`, which implements `CodeEditor.IEditor`. We can't share `CodeMirror.Doc` instances between editors, because the `CodeMirror.Doc` itself includes selections and markers, meaning you can't have different primary selections on each editor. I propose an alternative: `CodeMirrorEditor` accepts a `CodeEditor.IModel` object in its constructor, which is distilled down to `mimeType`, `value`, and `selections`. We move the other parts of `CodeEditor.IModel` onto `CodeEditor.IEditor`. Then, `ICellModel` and `IDocumentModel` *implement* `CodeEditor.IModel` and can be passed directly to editor factories. cc @akosyakov @ian-r-rose @jasongrout @afshin Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: np.einsum support support for generic tensor contractions would cover a large class of computations and also provide a foundation for higher order operations. Perhaps jax could then also be added as a `opt_einsum` backend? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: ParameterExpression throws an error for gradients with complex coefficients. <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.18 - **Python version**: 3.8 - **Operating system**: MacOS ### What is the current behavior? When having a `ParameterExpression` with an imaginary unit, taking a gradient w.r.t. a parameter existing in a `ParameterExpression` results in an error. ### Steps to reproduce the problem ``` p = Parameter("theta") p2 = 1j*p p2 Out[27]: ParameterExpression(1.0*I*theta) p2.gradient(p) Traceback (most recent call last): File "/qiskit-terra/venv/lib/python3.8/site-packages/IPython/core/interactiveshell.py", line 3437, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "<ipython-input-28-058190e5d73e>", line 1, in <module> p2.gradient(p) File "/qiskit-terra/qiskit/circuit/parameterexpression.py", line 303, in gradient return float(expr_grad) File "symengine_wrapper.pyx", line 1133, in symengine.lib.symengine_wrapper.Basic.__float__ File "symengine_wrapper.pyx", line 958, in symengine.lib.symengine_wrapper.Basic.n File "symengine_wrapper.pyx", line 4194, in symengine.lib.symengine_wrapper.evalf RuntimeError: Not Implemented ``` ### What is the expected behavior? Calculating a gradient with a complex coefficient. ### Suggested solutions Perhaps ``` File "/qiskit-terra/qiskit/circuit/parameterexpression.py", line 303, in gradient return float(expr_grad) ``` should be changed to ``` File "/qiskit-terra/qiskit/circuit/parameterexpression.py", line 303, in gradient return complex(expr_grad) ``` ? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: broadcast_to docs are unhelpful Right now the docs state "Like Numpy’s broadcast_to but doesn’t necessarily return views." A few suggestions 1. Link to numpy's docs 2. Copy their docs in some way 3. Write our own 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 googleapis/google-cloud-python codebase. Here's the problem: DO NOT MERGE: asset synth This PR was generated using Autosynth. :rainbow: Here's the log from Synthtool: ``` synthtool > Cloning googleapis. synthtool > Running generator for google/cloud/asset/artman_cloudasset_v1beta1.yaml. synthtool > Ensuring dependencies. synthtool > Pulling artman image. synthtool > Generated code into /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/asset-v1beta1. synthtool > No replacements made in google/cloud/asset_v1beta1/gapic/asset_service_client.py for pattern 'google-cloud-cloudasset', \).version, maybe replacement is not longer needed? synthtool > Replaced 'from google.iam.v1 import policy_pb2 as' in google/cloud/asset_v1beta1/proto/assets_pb2.py. synthtool > Replaced 'from google.iam.v1 import iam_policy_pb2_grpc as google_dot_iam_dot_v1_dot_policy__pb2' in google/cloud/asset_v1beta1/proto/assets_pb2.py. synthtool > Replaced "_ASSET.fields_by_name\\['iam_policy'\\].message_type = google_dot_iam_dot_v1_dot_policy__pb2._POLICY" in google/cloud/asset_v1beta1/proto/assets_pb2.py. synthtool > Cleaned up 0 temporary directories. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Convert DAGNode.name attribute to property An unrelated thing here is I think maybe we need a similar property lookup as to DAGNode.condtion so for op nodes we just pull the name directly from the op node. something like: ```python3 @property def name(self): if self._name: return self._name return self.op.name ``` just because it seems like there is a lot of mixing of node.name and node.op.name and while they should always be the same thing, it's probably good to actually enforce that. _Originally posted by @mtreinish in https://github.com/Qiskit/qiskit-terra/pull/6187#discussion_r610764534_ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Expose a magic to control config of the inline pylab backend We should provide a magic to provide easy, user-level control of certain features of the inline backend. Something like ``` %inline_backend close_figures=True %inline_backend figure_format = 'svg' ``` would allow easy runtime control of the points discussed in #638 and #781. In the long run, ideally we'd fold this into a richer `%pylab` magic that allows initializing pylab mode in the qtconsole/notebooks (like it does in the terminal), toggling of floating/inline figures _and_ inline configuration. But since that's a larger job, as discussed at the end of #892, it's probably best left for a separate task. Marking this as high priority for 0.12 in case we manage to pull it off, as it would be great to have out of the gate when we release the notebook. But I'm not willing to make it a blocker as we're getting close to the wire, so it may slip to 0.13. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: "Missing mandatory value" error is imprecise/bloated When specifying a required environment variables, the error messages are imprecise/bloated. I have a service defined like the following: ```yml api: environment: NODE_ENV: development DB_USERNAME: ${DB_USERNAME} DB_PASSWORD: ${DB_PASSWORD} API_SESSION_KEY: ${API_SESSION_KEY:?} API_HTTP_PORT: ${API_HTTP_PORT:?} API_HTTPS_PORT: ${API_HTTPS_PORT:?} WEB_HTTP_PORT: ${WEB_HTTP_PORT:?} WEB_HTTPS_PORT: ${WEB_HTTPS_PORT:?} DB_PORT: ${DB_PORT:?} # ... ``` Let's say I forget to set the variable `$API_SESSION_KEY`. This is the error I receive: ``` ERROR: Missing mandatory value for "environment" option interpolating {'NODE_ENV ': 'development', 'DB_USERNAME': '${DB_USERNAME}', 'DB_PASSWORD': '${DB_PASSWORD }', 'API_SESSION_KEY': '${API_SESSION_KEY:?API_SESSION_KEY}', 'API_HTTP_PORT': ' ${API_HTTP_PORT:?API_HTTP_PORT}', 'API_HTTPS_PORT': '${API_HTTPS_PORT:?API_HTTPS _PORT}', 'WEB_HTTP_PORT': '${WEB_HTTP_PORT:?WEB_HTTP_PORT}', 'WEB_HTTPS_PORT': ' ${WEB_HTTPS_PORT:?WEB_HTTPS_PORT}', 'DB_PORT': '${DB_PORT:?DB_PORT}'} in service "api": ``` It doesn't say which variable is missing, it just lists all the environment variables specified in `docker-compose.yml`. It would be much easier to understand with an error like the following: ``` ERROR: Missing mandatory environment variable "API_SESSION_KEY" for option "environment" in service "api" ``` Related: #6587 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Include things from [context] subsection in config into context Including subsections (e.g., `[secrets]`) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Running `meson` in the source dir without any arguments takes the parent directory as the build dir This is a major regression over 0.46. The parent dir implicit selection should only be for finding the source directory, not the build directory. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Inconsistency in gate names with matplotlib and text drawer backends <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.23.0 - **Python version**: 3.8.6 - **Operating system**: Artix Linux ### What is the current behavior? When drawing the complete circuit with a user-defined name, say "gate", then when drawing with the `text` backend, the circuit renders the name "gate" on the relevant portion of the circuit. However, when drawing with `matplotlib`, the particular portion of the circuit shows "Gate" i.e. it capitalizes the first character of the name. ### Steps to reproduce the problem For example, ```python from qiskit import * import matplotlib.pyplot as plt sub = QuantumCircuit(2, name='gate') sub.h(0) sub.cx(0,1) sub.cz(1,0) sub_inst = sub.to_instruction() qc = QuantumCircuit(3) qc.x(0) qc.append(sub_inst, [1,2]) qc.draw('text') ``` **Output**: ``` ┌───┐ q_0: ──┤ X ├── ┌─┴───┴─┐ q_1: ┤0 ├ │ gate │ q_2: ┤1 ├ └───────┘ ``` Doing the same with `matplotlib` ```python qc = QuantumCircuit(3) qc.x(0) qc.append(sub_inst, [1,2]) qc.draw('mpl') ``` **Output**: ![Figure_1](https://user-images.githubusercontent.com/59497618/98459231-ea19e300-21be-11eb-995b-7d0ff78a60a5.png) ### What is the expected behavior? Both the backends must either render the name of the gate as defined by the user i.e. case-sensitive or both must capitalize the name. In my opinion, the former seems reasonable. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Special-case secrets from environment Right now, setting ``` PREFECT__CONTEXT__SECRETS__MY_API_KEY=hello ``` creates a local secret called `my_api_key` (lowercase), and the only way to create a local secret called `MY_API_KEY` is by setting the value directly in your user config. Ideally we should allow both secret setting mechanisms to work smoothly. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: sh.py and ipython for python 3.3 Someone using sh.py with ipython ran into the following issue, and I was hoping someone with better working knowledge of ipython's internals could shed some light on what's happening: amoffat/sh/issues/97 sh.py has some magic going on internally, where any attribute access on the module can resolve dynamically to a specific object. This issue only seems to be in ipython for python 3.3, python 2.7 works fine. Anyone have an idea of what could be happening? Thanks Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: build.py specifies bazel 0.24 but uses repo_env which is new in bazel 0.26 https://github.com/google/jax/blob/master/build/build.py#L310 specifies that the minimum allowed bazel version is 0.24, but https://github.com/google/jax/blob/master/build/build.py#L167-L169 uses `--repo_env` (as opposed to `--action_env`), which was added in bazel 0.26 (in https://github.com/bazelbuild/bazel/commit/d7702b1 ). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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.train(resume_from_checkpoint=False)` is causing an exception Since `resume_from_checkpoint` can be `str` and `bool` it should be possible to pass `False` to it. But when `resume_from_checkpoint` is `False` it causes an exception here: https://github.com/huggingface/transformers/blob/3d4b3bc3fd77e0e48e2364464ea90379f13bcf37/src/transformers/trainer.py#L1049-L1050 ```text E TypeError: expected str, bytes or os.PathLike object, not bool ``` The most simple solution would be to do this at the beginning of the `train` function: ```python resume_from_checkpoint = None if not resume_from_checkpoint else resume_from_checkpoint ``` If wanted I can provide a PR. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Add "epoch" options to basic templates ## 🚀 Feature <!-- A clear and concise description of the feature proposal --> Add "epochs" option to parser of 'basic_examples/lightning_module_template.py' ### Motivation <!-- Please outline the motivation for the proposal. Is your feature request related to a problem? e.g., I'm always frustrated when [...]. If this is related to another GitHub issue, please link here too --> Thanks to 'basic_examples/lightning_module_template.py', I could build my deep learning model. Some beginners like me might build their model from this basic template. However, there are no options to manipulate epochs. I just thought that what people use often should be included in the basic template, so I uploaded my issue. ### Pitch <!-- A clear and concise description of what you want to happen. --> I suggest that the basic template includes "epoch" option in the basic template. ### Alternatives <!-- A clear and concise description of any alternative solutions or features you've considered, if any. --> Add "epoch" options to parser of 'basic_examples/lightning_module_template.py' ```python parser.add_argument('--epochs', default=10, type=int, metavar='N', help='number of total epochs to run') trainer = pl.Trainer(max_epochs=hparams.epochs) ``` ### Additional context <!-- Add any other context or screenshots about the feature request here. --> I am really enjoying PytorchLightning framework. Thanks 😄 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the celery/celery codebase. Here's the problem: celery worker has --quiet to suppress banner output but celery beat does not Sorry for leaving out the issue template but I believe this is fairly trivial and straight-forward. In master, there is code to enable the suppressing of printing the banner when running `celery worker` with `--quiet`: https://github.com/celery/celery/blob/9773eba837982c84380c93bd3788470273e7674d/celery/apps/worker.py#L138-L139 This conditional is not present in the code that runs `celery beat`: https://github.com/celery/celery/blob/9773eba837982c84380c93bd3788470273e7674d/celery/apps/beat.py#L77-L78 https://github.com/celery/celery/blob/9773eba837982c84380c93bd3788470273e7674d/celery/apps/beat.py#L100 This causes a few issues for us because we expect all our services to only emit JSON. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: TensorBoardLogger not saving hparams without metrics ## 🐛 Bug `log_hyperparams` for `TensorBoardLogger` saves no data with default `metrics=None`, only hparam entries/names show up in sidebar ### To Reproduce Steps to reproduce the behavior: ``` import pytorch_lightning as pl logger = pl.loggers.TensorBoardLogger("./test_logs") test_dict = {"test":0} logger.log_hyperparams(test_dict) ## no data saved logger.log_hyperparams(test_dict, test_dict) ## works logger.log_metrics(test_dict) ## works logger.experiment.add_hparams(test_dict, test_dict) ## works but saves in a different events file ``` <!-- If you have a code sample, error messages, stack traces, please provide it here as well --> ### Expected behavior hparams data is saved and viewable via tensorboard with default args ### Proposed solution For default hparams logging without metrics, add a placeholder metric? I can do a PR if this is appropriate. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: InstructionScheduleMap parameters should be ParameterExpressions <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? The input parameters into the InstructionScheduleMap should be expected to be `ParameterExpression`s. Types and tests should be updated accordingly. This is a follow on to #3385. Can you help me debug this systematically and explain your reasoning?