{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Bug in nakanishi_fujii_todo ### Information - **Qiskit Terra version**: 0.17.4 - **Python version**: 3.9.4 - **Operating system**: macOS Big Sur ### What is the current behavior? nakanishi_fujii_todo() optimizer fail to return `OptimizeResult` except in the case of `args = ()`. ### Steps to reproduce the problem I tried to run the following code ```python from qiskit.algorithms.optimizers.nft import nakanishi_fujii_todo import numpy as np def cost_function(param, a): return a[0] * np.sin(param) + a[1] * np.cos(param) + a[2] a = np.random.rand(3) nakanishi_fujii_todo( cost_function, x0 = [0.1], args = (a,), maxiter = 3 ) ``` and then I got the following error ```python TypeError Traceback (most recent call last) in 3 4 a = np.random.rand(3) ----> 5 nakanishi_fujii_todo( 6 cost_function, 7 x0 = [0.1], ~/venv/lib/python3.9/site-packages/qiskit/algorithms/optimizers/nft.py in nakanishi_fujii_todo(fun, x0, args, maxiter, maxfev, reset_interval, eps, callback, **_) 173 break 174 --> 175 return OptimizeResult(fun=fun(np.copy(x0)), x=x0, nit=niter, nfev=funcalls, success=(niter > 1)) TypeError: cost_function() missing 1 required positional argument: 'a' ``` ### What is the expected behavior? nakanishi_fujii_todo() should return `OptimizeResult` without errors. ### Suggested solutions `OptimizeResult(fun=fun(np.copy(x0)), x=x0, nit=niter, nfev=funcalls, success=(niter > 1))` should be `OptimizeResult(fun=fun(np.copy(x0), *args), x=x0, nit=niter, nfev=funcalls, success=(niter > 1))` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add MySQL to readme Following https://github.com/PrefectHQ/prefect/issues/2124 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Make temp props file used by MSBuild helper file persistent This came out of slack discussion. There is currently a temporary props file used to force MT/MD into projects during build when the MSBuild helper is used. It would be preferable if the file were generated in the build directory and left behind for packaging, both for debugging, and so that the build is reproducible without Conan. Also related to this request: https://github.com/conan-io/conan/issues/4073 - [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?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Glob expansion tests fail on Windows Both 2.7 and 3.2 are failing. See ShiningPanda output: https://jenkins.shiningpanda-ci.com/ipython/job/ipython-win-py32/30/console I'm pretty sure this was caused by the recent merge of #2165. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the dagster-io/dagster codebase. Here's the problem: API for loading an asset into a Python object In a notebook, or in an op, you might want to load an asset to inspect it. Imagine if you could do something like this: ``` @repo def repo(): ... my_repo.load_asset(AssetKey(\"abc\")) ``` It would call the IO manager associated with the asset and load it. `load_asset` could accept an argument that's a Python type, for IO managers whose Python object depends on a Python type. Right now, you'd need to instantiate the IO manager associated with the output, call `build_input_context` to create an input context with the relevant information, then call `load_input`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Add checking/flushing of background output from kernel in mainloop \"\"\" zmq sockets are not threadsafe. To protect against segfaults, background threads are not allowed to write directly to the IOPub socket. What they do instead is write to a buffer, which the main thread checks periodically. That's why async output from a thread doesn't show up until there is some interaction in the main thread. It would be easy enough to hook up that checking / flushing to the main eventloop, in which case it would still be threadsafe, but still allow publication while the kernel is idle. But that's now how it works right now. -MinRK \"\"\" Sample code: import threading import time class ThreadClass(threading.Thread): def run(self): x = 1 while True: print(x) x += 1 time.sleep(1) t = ThreadClass() t.start() t.join() Then you will see the data for as long as you don't interrupt the cell. If you comment out the t.join(), then you won't see any output (or maybe just the first printed). In the next cell, if you do something such as, say: while True: pass and then interrupt the kernel, you'll see some more of the printouts. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Storage: pass predefinedDefaultObjectAcl on bucket creation **Is your feature request related to a problem? Please describe.** In the Bucket creation API it's allowed to pass a query parameter \"predefinedDefaultObjectAcl\" to set the default object ACL in the creation call of the bucket. In the current implementation of this library it's not possible to set this query parameter as it is hardcoded to only the (required) project. https://github.com/googleapis/google-cloud-python/blob/master/storage/google/cloud/storage/bucket.py#L637 **Describe the solution you'd like** Expose the optional query parameters in this library. **Describe alternatives you've considered** Updating the predefinedDefaultObjectAcl after bucket creation requires additional permissions on the bucket that should not be needed when setting this value directly on bucket creation. **Additional context** API Reference for bucket/insert https://cloud.google.com/storage/docs/json_api/v1/buckets/insert Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] Conan build command does not support conanfile.txt as described ### Description The documentation about [build](https://docs.conan.io/2/reference/commands/build.html) command says: ``` usage: conan build [-h] [-v [V]] [--logger] [--name NAME] [--version VERSION] [--user USER] [--channel CHANNEL] [-of OUTPUT_FOLDER] [-b BUILD] [-r REMOTE | -nr] [-u] [-o OPTIONS_HOST] [-o:b OPTIONS_BUILD] [-o:h OPTIONS_HOST] [-pr PROFILE_HOST] [-pr:b PROFILE_BUILD] [-pr:h PROFILE_HOST] [-s SETTINGS_HOST] [-s:b SETTINGS_BUILD] [-s:h SETTINGS_HOST] [-c CONF_HOST] [-c:b CONF_BUILD] [-c:h CONF_HOST] [-l LOCKFILE] [--lockfile-partial] [--lockfile-out LOCKFILE_OUT] [--lockfile-packages] [--lockfile-clean] [path] Install dependencies and call the build() method. positional arguments: path Path to a folder containing a recipe (conanfile.py or conanfile.txt) or to a recipe file. e.g., ./my_project/conanfile.txt. ``` However, `conanfile.txt` is not acceptable by build command. As the documentation is extracted from the command output, it should be fixed on Conan client first. ### Environment details * Operating System+version: OSX 13 * Compiler+version: Apple-Clang 14 * Conan version: 2.0.0 * Python version: 3.10 ### Steps to reproduce 1. mkdir /tmp/foo && cd /tmp/foo 2. echo \"[requires]\\nzlib/1.2.13\" > conanfile.txt 3. conan build . 4. Or, conan build ./conanfile.txt ### Logs ``` % conan build . ERROR: Conanfile not found at /private/tmp/foo/conanfile.py % conan build ./conanfile.txt ERROR: A conanfile.py is needed, /private/tmp/conantxt/conanfile.txt is not acceptable ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [revisions] Handle only_v2 capability from ping endpoint Artifactory now returns ``only_v2`` server capability in some cases. This together with the ``revisions`` one should be enough to raise an error in case a user wants to perform a ``conan install`` without revisons when V1 is not supported. This will improve the ERROR 500 that we are receiving currently: ``` { \"errors\": [ { \"status\": 500, \"message\": \"Unsupported Conan v2 repository request for conan-remote\" } ] } ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: DOC: Update language on numpy.squeeze In the [numpy.squeeze](https://numpy.org/doc/stable/reference/generated/numpy.squeeze.html) docstring, the use of \"single-dimensional\" and \"singleton dimensions\" (in the reference to numpy.expand_dims) is a bit confusing. This could be improved by using \"one-dimensional\" instead or rewording the docstring. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Two qubit UnitaryGate produces non-deterministic decomposition ### Information - **Qiskit Terra version**: 0.11.0 - **Python version**: 3.6.8 - **Operating system**: Windows 10 ### What is the current behavior? When generating a controlled version of a unitary gate, the resulting gate does not seem to be deterministically generated. This can be seen by checking two gates generated from the same unitary for equality. Sometimes this will return True and sometimes False, seemingly at random. The reason seems to be differing definitions of the controlled versions, which is checked by the \\_\\_eq\\_\\_ function. ### Steps to reproduce the problem Generate a new unitary, for example with ``` uni = UnitaryGate([[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1j]]) ``` and repeatedly generate controlled versions of it, comparing them for equality: ``` for i in range(10): uni.control() == uni.control() ``` ### What is the expected behavior? Shouldn't the generated gate definitions be deterministic? At least I would expect two controlled gates to be identified as equal when generated from the same object. ### Suggested solutions During the gate.control() call, add_control() will call _define() on unitary gates, which seems to produce different decompositions of the unitary every time it is called, before the controlled version is even generated. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the celery/celery codebase. Here's the problem: Fix missing parameters passing through the _new_redis_client method The app configuration (host, port, etc..) are not passed through the `_new_redis_client` method. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Use catch-all gRPC StatusCode remapping to our native errors in datastore It may be worth putting a try/except around every method and using the mapping provided in [`code.proto`](https://github.com/googleapis/googleapis/blob/034b4cdaacf13764f70ba55205ea6f9734652cc0/google/rpc/code.proto) See #2496. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Add a compress option to docker-compose build Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Unable to link a static library with MSVC for ARM, when windows resources are included When creating a library that contains a windows resource (to add metadata about the library), e.g. like this, building with MSVC can fail when targeting non-x86 architectures. ``` mylib_rc_obj = winmod.compile_resources(rc_file) mylib = library('mylib', mylib_rc_obj, ...) ``` With MSVC tools, the output of `rc.exe` is an arch independent resource file (contrary to windres which by default outputs an arch specific object file). When including this in a static library, MSVC `lib.exe` will convert it into an arch specific object file. (Including it in static libraries is of course pointless, but since one doesn't know if the library is going to be static or shared, it gets included in both.) `lib.exe` will infer what architecture to use, based on earlier object files processed, or based on the `/machine:` option. Normally the `/machine:` option isn't needed and thus Meson doesn't currently pass it. However, if the resource file gets passed to `lib.exe` before any of the actual object files, creating the library will fail: ``` $ lib /NOLOGO /OUT:libmylib.a src/src_mylib.rc_mylib.res 'src/src@@mylib@sta/implementation1.c.obj' ... LINK : warning LNK4068: /MACHINE not specified; defaulting to X86 src\\src@@mylib@sta\\implementation1.c.obj : fatal error LNK1112: module machine type 'ARM' conflicts with target machine type 'x86' ``` If the `lib.exe` invocation would include a `/machine:` parameter, this wouldn't be an issue. Being able to omit the resource file from the static library altogether (close to what is discussed in #4159) would also solve the situation, as including the resource file in the static library is mostly pointless, at least when the resource is just DLL metadata. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: nbconvert: unhelpful error when pandoc isn't installed When running `ipy nbconvert foo.ipynb` without pandoc installed, the exception is: ``` File \"/Users/wolever/code/sandbox/env/sandbox/lib/python2.7/site-packages/IPython/nbconvert/filters/markdown.py\", line 50, in markdown2latex return pandoc(source, 'markdown', 'latex') File \"/Users/wolever/code/sandbox/env/sandbox/lib/python2.7/site-packages/IPython/nbconvert/utils/pandoc.py\", line 51, in pandoc stdin=subprocess.PIPE, stdout=subprocess.PIPE File \"/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/subprocess.py\", line 679, in __init__ errread, errwrite) File \"/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/subprocess.py\", line 1228, in _execute_child raise child_exception OSError: [Errno 2] No such file or directory If you suspect this is an IPython bug, please report it at: https://github.com/ipython/ipython/issues or send an email to the mailing list at ipython-dev@scipy.org You can print a more detailed traceback right now with \"%tb\", or use \"%debug\" to interactively debug it. Extra-detailed tracebacks for bug-reporting purposes can be enabled via: c.Application.verbose_crash=True ``` It would be useful if that included some hint that the error was being caused by the lack of pandoc. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Storage: Add support for Archive storage class GCS is adding a storage class called \"archive\" to the [existing options for object storage](https://cloud.google.com/storage/docs/storage-classes) (coldline, standard, etc). Support for this should be added to this client library. This should be straightforward as ARCHIVE should just mirror existing valid storage classes. I see the following places where changes are required in order to accomplish this: * https://github.com/googleapis/google-cloud-python/blob/master/storage/google/cloud/storage/constants.py (add new constant) * https://github.com/googleapis/google-cloud-python/blob/master/storage/google/cloud/storage/bucket.py (add import, update STORAGE_CLASSES, update documentation). * https://github.com/googleapis/google-cloud-python/blob/master/storage/google/cloud/storage/blob.py (same as above) * Incorporate ARCHIVE into unit tests as appropriate. This has already been implemented in the C++ client library; reference commit [here](https://github.com/googleapis/google-cloud-cpp/pull/3197) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: [RFC] Limit on amplitude of Gaussian (and other parametric pulses) ### Information - **Qiskit Terra version**: 0.17.0.dev0+49f415f - **Python version**: 3.8 - **Operating system**: Windows ### What is the current behavior? If a `Gaussian` pulse with amplitude > 1 is generated an error is generated. ### Steps to reproduce the problem A minimal example: ``` from qiskit.pulse.library.parametric_pulses import Gaussian g=Gaussian(100, 1.2, 10, 'test') ``` ### What is the expected behavior? The pulses should be independent of the hardware backend, so there should be no arbitrary limitations on the amplitude. For spin-qubit systems the pulses are used to define gate voltages, which are natural to define in terms of milivolts with typical ranges -1000 to +1000 mV. On https://qiskit.org/documentation/tutorials/circuits_advanced/06_building_pulse_schedules.html the limit of 1 for the amplitude is mentioned, but without a reason why the limit is required at all. There are other pulses, e.g. the `GaussianSquare`, which have similar limits. ### Suggested solutions There are several options: * Remove the limitation on pulse amplitude. Users who want to restrict the pulse amplitude should implement that in a backend * Make the maximum pulse amplitude configurable (through a class variable or similar) * Create new a new class for a gaussian pulse without the limitation of amplitude 1. I would prefer the first option, but perhaps there are other considerations. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: In ViTForMaskedImageModeling, you will receive a reconstructed_pixel_values which shape is different with input when model.config.patch_size is not 16. This further triggers an error about loss when patch_size is not 16 and bool_masked_pos is not None. ### System Info - `transformers` version: 4.29.2 - Platform: Linux-3.10.0-1160.90.1.el7.x86_64-x86_64-with-glibc2.35 - Python version: 3.9.16 - Huggingface_hub version: 0.14.1 - Safetensors version: not installed - PyTorch version (GPU?): 1.13.1+cu117 (True) - Tensorflow version (GPU?): not installed (NA) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: - Using distributed or parallel set-up in script?: ### 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 Use ViTForMaskedImageModeling; Set model.config.patch_size except 16; Get error. ### Expected behavior In ViTForMaskedImageModeling, you will receive a reconstructed_pixel_values which shape is different with input when model.config.patch_size is not 16. This further triggers an error about loss when patch_size is not 16 and bool_masked_pos is not None. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Regression in MSBuild helper properties injection Unfortunately, in #4113 we have missed the fact the `ForceImportBeforeCppTargets` parameter requires an absolute path to the properties files to be injected. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Checking if a labextension is installed and enabled It would be nice to have a subcommand `jupyter labextension check ` to verify if an extension is installed and enabled. This command could return the status code 0 if the extension is installed and enabled, or 1, otherwise. Additionally, it could have a parameter `--installed` to check only if it is installed. Checking if a labextension is installed and enabled It would be nice to have a subcommand `jupyter labextension check ` to verify if an extension is installed and enabled. This command could return the status code 0 if the extension is installed and enabled, or 1, otherwise. Additionally, it could have a parameter `--installed` to check only if it is installed. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: MathJax rendering problem in `%%latex` cell The following screenshot shows the rendered output of one of our example notebooks. The odd thing is that it works fine when the `nabla` comes back through a `Latex` display object. See our example notebook \"Part 5 - Rich Display System\" for the examples.  Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Compilation of generated LLVM IR sources is broken 1. Usage a generator to generate LLVM IR 2. Compile the resulting LLVM IR 3. Compilation succeeds, but the binary doesn't contain any output Example: https://github.com/npmccallum/whitfield/blob/master/meson.build Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: Using a fast JSON parser for repo data This came up recently in our meeting at AnacondaCON. Writing it down so we can track it. @mariusvniekerk, suggested we should look at using another faster JSON parser for reading the repo data. Here is [a blogpost]( https://artem.krylysov.com/blog/2015/09/29/benchmark-python-json-libraries/ ) with some Python JSON parser benchmarks. All of these are in Conda-forge. It looks like we should choose between `ujson` and `python-rapidjson`. Considering loading is the priority for users loading, `ujson` looks better. Though `python-rapidjson` is a bit faster for writing. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Language fortran does not support library finding The title summarises the issue. I'm attaching a meson.build file and hello.f95. Test system: FreeBSD 10.3-RELEASE-p11, i386, meson-0.41.1 Invocation: LD_LIBRARY_PATH=/usr/local/lib/gcc5 meson .. [fortran.tar.gz](https://github.com/mesonbuild/meson/files/1131565/fortran.tar.gz) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Updating aliases does not re-create container or update auto-discovery Hi there, Considering two docker-compose files: /tmp/dc1/docker-compose.yml: ``` version: \"2\" services: foo: image: busybox command: sleep 600 networks: default: aliases: - foo1 ``` and /tmp/dc2/docker-compose.yml: ``` version: '2' services: bar: image: busybox command: sleep 600 networks: default: external: name: dc1_default ``` So my app dc2 wants to use the default network of my app dc1, if i try to resolve foo and foo1 from bar I have no problem. Now I want to add an alias foo2 to foo, so I update my dc1 docker-compose.yml file which looks like that: ``` version: \"2\" services: foo: image: busybox command: sleep 600 networks: default: aliases: - foo1 - foo2 ``` And I run a docker-compose up -d in the directory: ``` docker-compose up -d dc1_foo_1 is up-to-date ``` If I try to resolve foo2 from dc2_bar_1 it does not work, I need to delete dc1_foo_1 and re-create it. ``` # docker info Containers: 12 Running: 12 Paused: 0 Stopped: 0 Images: 300 Server Version: 1.10.2 Storage Driver: aufs Root Dir: /var/lib/docker/aufs Backing Filesystem: extfs Dirs: 344 Dirperm1 Supported: false Execution Driver: native-0.2 Logging Driver: json-file Plugins: Volume: local Network: host bridge null Kernel Version: 3.13.0-74-generic Operating System: Ubuntu 14.04.3 LTS OSType: linux Architecture: x86_64 CPUs: 4 Total Memory: 5.866 GiB Name: docker-test ID: AU4I:XZNC:YDYP:XJI2:EJRB:HS55:5DTD:2LS5:U3QT:3OE4:2GAA:4CBQ WARNING: No swap limit support # docker-compose version docker-compose version 1.6.2, build 4d72027 docker-py version: 1.7.2 CPython version: 2.7.9 OpenSSL version: OpenSSL 1.0.1e 11 Feb 2013 ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Run some of the \"Docker\" healthchecks for all flow registrations Right now we run some \"healthchecks\" on Flows at registration time to help users debug errors early on; some of these checks are docker specific (e.g., version mismatches) but some are valid for all storage types, in particular the result handler / retries / checkpointing checks. We should run these for all Flow registrations to raise errors early. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the gitpython-developers/GitPython codebase. Here's the problem: Failed import raises non-ImportError exception on MacOS This is related to #657. Apparently, MacOS adds a git executable that is just a stub which displays an error. This gets past the try/except I added in #658, and allows all of the GitPython components to be imported, but since the executable is not *actually* git, it results in an exception when ``refresh()`` attemepts to run a ``git version``: ``` File \"/opt/salt/lib/python2.7/site-packages/salt/utils/gitfs.py\", line 90, in import git File \"/opt/salt/lib/python2.7/site-packages/git/__init__.py\", line 82, in refresh() File \"/opt/salt/lib/python2.7/site-packages/git/__init__.py\", line 73, in refresh if not Git.refresh(path=path): File \"/opt/salt/lib/python2.7/site-packages/git/cmd.py\", line 230, in refresh cls().version() File \"/opt/salt/lib/python2.7/site-packages/git/cmd.py\", line 551, in return lambda *args, **kwargs: self._call_process(name, *args, **kwargs) File \"/opt/salt/lib/python2.7/site-packages/git/cmd.py\", line 1010, in _call_process return self.execute(call, **exec_kwargs) File \"/opt/salt/lib/python2.7/site-packages/git/cmd.py\", line 821, in execute raise GitCommandError(command, status, stderr_value, stdout_value) GitCommandError: Cmd('git') failed due to: exit code(1) cmdline: git version stderr: 'xcode-select: error: no developer tools were found at '/Applications/Xcode.app', and no install could be requested (perhaps no UI is present), please install manually from 'developer .apple.com'.' ``` Fix incoming. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Regenerate Bigtable V2 protos (after the version landed in #1903). @sduskis reports: > There were some relatively minor changes in the v2 protos. Mostly the changes were in the comments. There were minor changes to rename fields from \"name\" to \"parent\" to better reflect the meaning of some of the proto elements. The latest version of the protos can be found in the official > google api repository at https://github.com/googleapis/googleapis/tree/master/google/bigtable. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Conan doesn't keep the username to log to server anymore From conan 1.8, When an authentication is required by the conan server, the username is now always asked event though it was specified by conan user. In older version, only the password was required. To reproduce: ``` $ conan user -c $ conan user username Changed user of remote 'server' from 'None' (anonymous) to 'username' $ conan search -r server * Please log in to \"server\" to perform this action. Execute \"conan user\" command. Remote 'server' username: ``` To help us debug your issue please explain: - [X] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [X] I've specified the Conan version, operating system version and any tool that can be relevant. - [X] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Evaluating expectations with ComposedOps return vectors instead of scalars in the ``~StateFn(op) @ state`` representation ### Information - **Qiskit Terra version**: 90387a20be329f3752c4acfceb2420f89c895178 - **Python version**: 3.7.9 - **Operating system**: macOS Big Sur ### What is the current behavior? ```python >>> from qiskit import QuantumCircuit >>> from qiskit.opflow import CircuitOp, StateFn, I >>> circuit = QuantumCircuit(1) >>> vector = [1, 0] >>> state = CircuitOp(circuit) @ StateFn(vector) >>> (~state @ I @ state).eval() (1+0j) >>> (~StateFn(I) @ state).eval() VectorStateFn(Statevector([1.-0.j 0.-0.j]), coeff=1.0, is_measurement=True) >>> ``` ### Steps to reproduce the problem See above. ### What is the expected behavior? Evaluating `~StateFn(I) @ state` should produce the same result as `~state @ I @ state`. ### Suggested solutions #6009 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Restoring training session docs ## 📚 Documentation [\"Restoring training session\"](https://pytorch-lightning.readthedocs.io/en/latest/pytorch_lightning.trainer.training_io.html#restoring-training-session) documentation shows example, which does not work correctly - [Google Colab](https://colab.research.google.com/drive/14C4G2kKcCS6CvEHv6b1ikQoymsiDwjlA). Furthermore, when I was looking how to resume sessions I was confused by `load_from_checkpoint` (Model) and `resume_from_checkpoint` (Trainer) descriptions. I suppose clarifying that the former does only load model state (weights etc.) and the latter load model and training state would be helpful. The most user-friendly solution would be the one currently stated in docs - passing version id to any logger would cause `fit()` to try to load the latest checkpoint from the version's folder. I think that would require every logger to implement `version` and `get_last_checkpoint` methods, which constitutes a source code change PR. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Update integration libs for compatibility with pandas 2.0 ### What's the use case? Pandas 2.0 was released on 4/3/2023, the following libs exampled have been pinned at `pandas<2` and need to be updated for compatibility: - assets-pandas-type-metadata - assets-pandas-pyspark - dagster-duckdb-pandas - dagster-duckdb-pyspark - dagster-gcp-pandas ### 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?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: np.isreal(None) is True `np.isreal(None)` returns `True`. It is not an expected result, it should return `False` or be described in the [documentation](https://numpy.org/doc/stable/reference/generated/numpy.isreal.html). ### Reproducing code example: ```python import numpy as np print(np.isreal(None)) # => True ``` ### NumPy/Python version information: - 1.20.1 3.7.8 | packaged by conda-forge | (default, Jul 23 2020, 03:54:19) [GCC 7.5.0] - 1.19.2 3.8.6 (default, Sep 30 2020, 04:00:38) [GCC 10.2.0] Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Add support for 'z' option for volumes 'z' option is currently not supported for volumes and volumes_from. Here are the modes available in docker: https://github.com/docker/docker/blob/53d9609de472f2fc9e6aaef2b713f526605f4ab8/daemon/volumes.go#L115 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: Make JAX thread-safe Currently JAX is not thread-safe, as you can see in the following example: ``` import jax from jax.experimental import stax import threading import jax.random as random def create_net(): init_fn, apply_fn = stax.Dense(10) key = random.PRNGKey(0) _, params = init_fn(key, input_shape=(-1, 5)) return params, apply_fn def f1(): p1, apply_fn1 = create_net() x = random.normal(key, shape=(1, 5)) return apply_fn1 def f2(): p2, apply_fn2 = create_net() x = random.normal(key, shape=(1, 5)) return apply_fn2 threads = [] t = threading.Thread(target=f1) t.start() threads.append(t) t = threading.Thread(target=f2) t.start() threads.append(t) for t in threads: t.join() ``` It has been increasing demand on requesting JAX to be thread-safe, could the developers consider it? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: conda's configuration context is not initialized in conda.exports root cause of https://github.com/conda-forge/conda-smithy/issues/762 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Allow custom otool and install_name_tool programs in fix_apple_shared_install_name ### What is your suggestion? I'm cross compiling some Conan recipes from Linux to macOS using [osxcross](https://github.com/tpoechtrager/osxcross) to make the toolchain. `fix_apple_shared_install_name` currently hardcodes `otool` and `install_name_tool`, which doesn't work since osxcross provides it as e.g. `x86_64-apple-darwin22-install_name_tool`. It seems like this could be handled with a set of new config settings like what https://github.com/conan-io/conan/pull/13940 did for cmake. ``` ERROR: libvpx/1.13.0: Error in package() method, line 110 fix_apple_shared_install_name(self) ConanException: Command 'otool -hv /home/circleci/project/build/conan/p/b/libvpedd69c3a97bd1/p/lib/libvpx.8.dylib' failed with errorcode '127' b'/bin/sh: 1: otool: not found\\n' ``` If that sounds reasonable I can put up a PR. ### Have you read the CONTRIBUTING guide? - [X] I've read the CONTRIBUTING guide Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: conan export-pkg with --package-folder does not set the metadata info When an export-pkg command is used with the ``--package-folder``, the *metadata.json* is not updated with the package ID and package revision. Then, when the user tries to upload the package ir errors with: ``` ERROR: Binary package hello/1.0@user/testing:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 not found ``` Here is a test reproducing the issue: ``` def upload_export_pkg_test(self): \"\"\" Package metadata is created when doing an export-pkg and then uploading the package \"\"\" server1 = TestServer([(\"*/*@*/*\", \"*\")], [(\"*/*@*/*\", \"*\")], users={\"lasote\": \"mypass\"}) servers = OrderedDict() servers[\"server1\"] = server1 client = TestClient(servers=servers) client.save({\"release/kk.lib\": \"\"}) client.run(\"user lasote -r server1 -p mypass\") client.run(\"new hello/1.0 --header\") client.run(\"export-pkg . user/testing -pf release\") client.run(\"upload hello/1.0@user/testing --all -r server1\") ``` The original issue comes from #4768 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: RAG: error in outputs = model(input_ids=input_ids, labels=input_dict[\"labels\"]) I tried the following code given in the documentation. ``` from transformers import RagTokenizer, RagRetriever, RagModel import torch tokenizer = RagTokenizer.from_pretrained(\"facebook/rag-token-base\") retriever = RagRetriever.from_pretrained(\"facebook/rag-token-base\", index_name=\"exact\", use_dummy_dataset=True) # initialize with RagRetriever to do everything in one forward call model = RagModel.from_pretrained(\"facebook/rag-token-base\", retriever=retriever) input_dict = tokenizer.prepare_seq2seq_batch(\"How many people live in Paris?\", \"In Paris, there are 10 million people.\", return_tensors=\"pt\") input_ids = input_dict[\"input_ids\"] outputs = model(input_ids=input_ids, labels=input_dict[\"labels\"]) ``` In the last step, it gives the following error. **/lib/python3.6/site-packages/torch/nn/modules/module.py\", line 722, in _call_impl result = self.forward(*input, **kwargs) TypeError: forward() got an unexpected keyword argument 'labels'** Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: DAGCircuit.predecessors do not return a list and order dependent of python version ### Information - **Qiskit Terra version**: master ### What is the current behavior? It's the second time that I encounter a bug because different behavior in python2 and python3 and `DAGCircuit.predecessors`. On top of that, I noticed that sometimes I used `next(predecessors)` because return an iterator, while the documentation says it should be a list. ### Steps to reproduce the problem ```python from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister from qiskit.circuit import Measure from qiskit.converters import circuit_to_dag qr = QuantumRegister(1, 'qr') cr = ClassicalRegister(1, 'cr') circuit = QuantumCircuit(qr, cr) circuit.rz(0.1, qr[0]) circuit.z(qr[0]) circuit.measure(qr[0], cr[0]) dag = circuit_to_dag(circuit) for predecesor in dag.predecessors(dag.op_nodes(Measure)[0]): print(predecesor.type) # op / in dag.remove_all_ops_named('z') for predecesor in dag.predecessors(dag.op_nodes(Measure)[0]): print(predecesor.type) # Python2: op/in Python3: in/op ``` ### What is the expected behavior? Some order in both python versions. Also ```python type(dag.predecessors(dag.op_nodes(Measure)[0])) ``` ``` dict_keyiterator # should be a list, as promised in the docstring. ``` ### Suggested solutions Is it too okey to return this in `DAGCircuit.predecessors`? ```python return sorted(self._multi_graph.predecessors(node)) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Entity level F-1 scores in run_ner.py # 🚀 Feature request The run_ner.py script in examples/token_classification reports evaluation metrics in terms of token F-1 scores (from what I can tell by examining the code). This issue is to request entity level F-1 scores as an evaluation metric. Token level scores will evaluate the F-1 score over an input such as [\"I\", \"work\", \"for\", \"ABC\", \"com\", \"##pany\", \"in\", \"New\", \"York\", \"City\"] with the label for each token considered separately. In this example, if the ground truth labels are [\"O\", \"O\", \"O\", \"ORG\", \"O\", \"O\", \"O\", \"GPE\", \"GPE\", \"GPE\"] the label for \"New\" , \"York\" and \"City\" from the predictions would be compared against ground truth separately. Entity level scores would mark a true positive if for instance all 3 tokens in the span \"New York City\" are labelled correctly. ## Motivation Token level F-1 scores can be a more lenient metric compared to entity level scores since labels on sub-words/entities are considered separately. ## Contribution I can also help implement this but I am not certain how I should get started with this. Any help is appreciated. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: BatchNorm doesn't work with center or scale turned off BatchNorm raises TypeError when using without center or scale or both. Seems pretty straightforward to fix (e.x. as a workaround I've set beta to None `beta = None if not center else beta[ed]` if center is False, the same for gamma but there might be some better solution). Exception: beta = beta[ed] # ed=(None, slice(None, None, None)) TypeError: tuple indices must be integers or slices, not tuple Code: ``` from jax import np from jax import random from jax.experimental import stax init_fn, apply_fn = stax.BatchNorm(axis=0, center=False, scale=False) _, params = init_fn(random.PRNGKey(0), (-1, 1)) x = np.zeros((2, 1)) apply_fn(params, x) ``` Details: jax==0.1.62 jaxlib==0.1.42 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Expose ability to set location and / or permissions on Flow files within Docker storage Currently, we place Flow objects in the `/root` directory of their Docker containers. This can be a problem when root access is somehow restricted. We should introduce two new APIs: - introduce a way to configure the directory / location of the flow within the image - optionally set the correct permissions on the flow file so that non-root users can read / write it Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Make RemoteRegistry member of ClientCache Everywhere in the code, it is passed as independent object, but there is no case when the registry is required that that ClientCache is not available. This would simplify a bit a few interfaces. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: modules/gnome: g-ir-scanner should have 'prog' optional ``` --program-arg=ARG Additional argument to pass to program for introspection. ``` and we want to make it as kwarg and it should be optional Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: numpy.fromfile() byte offset A major use case for the [numpy.fromfile()](https://docs.scipy.org/doc/numpy-1.15.1/reference/generated/numpy.fromfile.html) function is in reading from binary file of some kind. Frequently, binary formats are just arrays of data with a fixed-size header. It would be useful to have an extra optional parameter for the fromfile() function which defines a byte offset for when to start reading. This parameter would default to 0, leaving it backwards-compatible with existing code. ### Reproducing code example: ```python import numpy as np binary_file = \"sample_binary.bin\" my_array = np.fromfile(binary_file, dtype=np.uint8, offset=40) ``` Currently, the above code will not run, as the 'offset' keyword argument is not supported. In this call, the ndarray object 'my_array' would be the result of the binary file being read in, starting with an offset of 40 bytes. It is certainly possible to [work-around](https://stackoverflow.com/questions/30124255/read-a-binary-file-using-numpy-fromfile-and-a-given-offset) the issue currently, but adding direct support for offsets in the function would make for cleaner code. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: bug in dealing with data type at `one_qubit_decompose.py` ### Environment - **Qiskit Terra version**: `{'qiskit-terra': '0.23.0', 'qiskit-aer': '0.11.2', 'qiskit-ignis': '0.7.0', 'qiskit-ibmq-provider': '0.19.2', 'qiskit': '0.40.0', 'qiskit-nature': None, 'qiskit-finance': None, 'qiskit-optimization': None, 'qiskit-machine-learning': None}` - **Python version**: `python3.8` - **Operating system**: linux ### What is happening? I see error message as below: ``` \"/home/labuser/.virtualenvs/controller/lib/python3.8/site-packages/qiskit/quantum_info/synthesis/one_qubit_decompose.py\", line 242, in angles_and_phase return self._params(unitary) File \"/home/labuser/.virtualenvs/controller/lib/python3.8/site-packages/qiskit/quantum_info/synthesis/one_qubit_decompose.py\", line 265, in _params_u1x theta, phi, lam, phase = OneQubitEulerDecomposer._params_zyz(mat) TypeError: argument 'unitary': type mismatch: from=float64, to=complex128 ``` this was with input ``` [[ 0.70710678 0.70710678] [ 0.70710678 -0.70710678]] ``` ### How can we reproduce the issue? ``` from qiskit.quantum_info import OneQubitEulerDecomposer rzsxDecomposer = OneQubitEulerDecomposer('PSX') M=[[ 0.70710678, 0.70710678] , [ 0.70710678, -0.70710678]] (theta, phi, lam, gamma) = rzsxDecomposer.angles_and_phase(M) ``` The error can be resolved by manually casting M to complex; ``` from qiskit.quantum_info import OneQubitEulerDecomposer rzsxDecomposer = OneQubitEulerDecomposer('PSX') M=[[ 0.70710678, 0.70710678] , [ 0.70710678, -0.70710678]] (theta, phi, lam, gamma) = rzsxDecomposer.angles_and_phase(np.array(M).astype(complex)) ``` ### What should happen? flag the data type error ### Any suggestions? add wrapper before pass it to rust so that every variable we are passing is casted to complex Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Raise exceptions instead of using assertions for control flow https://github.com/huggingface/transformers/blob/546dc24e0883e5e9f5eb06ec8060e3e6ccc5f6d7/src/transformers/models/gpt2/modeling_gpt2.py#L698 Assertions can't be relied upon for control flow because they can be disabled, as per the following: ```shell $ python --help usage: python [option] ... [-c cmd | -m mod | file | -] [arg] ... ... -O : remove assert and __debug__-dependent statements; add .opt-1 before .pyc extension; also PYTHONOPTIMIZE=x ... ``` From my understanding, this is why mypy has no qualms about using them to narrow types because you can turn them off at runtime and so they incur zero cost. Would you be open to me changing these assertions to other appropriate exceptions as I encounter them? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: indicate global phase in circuit drawer If a circuit has the global_phase property (introduced in #4565 ) set to something non-zero, then the circuit drawer should show that somewhere. I don't know where, somewhere that looks good (bottom or upper-right maybe). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: --mkdir no longer works After upgrading to `conda=4.2`: ``` C:\\> conda install --mkdir -n name python=3.5 CondaEnvironmentNotFoundError: Could not find environment: name . You can list all discoverable environments with `conda info --envs`. ``` --mkdir no longer works After upgrading to `conda=4.2`: ``` C:\\> conda install --mkdir -n name python=3.5 CondaEnvironmentNotFoundError: Could not find environment: name . You can list all discoverable environments with `conda info --envs`. ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Print Warning for Python 2 in conan client Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: NASM language fails when threads dependency added to library **Describe the bug** I want to play around with the new nasm language so I've modified one of my projects that uses nasm in combination with a meson generator to compile .asm files. Instead of using the generator I added the .asm files as sources to the static_library object that is being build. Unfortunately nasm borks because meson adds an -pthread argument due to the library having a threads dependency added. **To Reproduce** Toy attached [asm_pthread_toy.tar.gz](https://github.com/mesonbuild/meson/files/10001810/asm_pthread_toy.tar.gz) **Expected behavior** Some arguments would need to be sanitized, in this example: nasm should be run without -pthread Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Cleanup mpl circuit_drawer module (post 0.7) ### What is the expected enhancement? As pointed out in the review for https://github.com/Qiskit/qiskit-terra/pull/1450 there are a few artifacts leftover from the json->dag conversion for the mpl backend. Things like misleading variable names and out of date notes and comments. After the 0.7 release it would be good to go through the module and clean this up to make maintenance easier. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Firestore: 'Query.start_at' etc. should accept a list of values for 'document_fields'. Currently, the \"cursor-related\" methods ([`Query.start_at`](https://github.com/googleapis/google-cloud-python/blob/4c8184a1023b3c68633c50fdd53fe5136883dd2a/firestore/google/cloud/firestore_v1beta1/query.py#L407-L411), [`Query.start_after`](https://github.com/googleapis/google-cloud-python/blob/4c8184a1023b3c68633c50fdd53fe5136883dd2a/firestore/google/cloud/firestore_v1beta1/query.py#L436-L440), [`Query.end_before`](https://github.com/googleapis/google-cloud-python/blob/4c8184a1023b3c68633c50fdd53fe5136883dd2a/firestore/google/cloud/firestore_v1beta1/query.py#L464-L469), [`Query.end_at`](https://github.com/googleapis/google-cloud-python/blob/4c8184a1023b3c68633c50fdd53fe5136883dd2a/firestore/google/cloud/firestore_v1beta1/query.py#L494-L498)) expect their `document_fields` argument to be either a `DocumentSnapshot` instance or a `dict`, where the fields in either are used to compute the actual values for the cursor, using the query's `order_by` fields. However, the cross-language conformance tests also expect to be able to pass a raw sequence of values for `document_fields`, which are then used to match the query's `order_by`. We need to update the docstrings for these methods to indicate that a list is allowed, and fix the [`query._cursor_pb` helper](https://github.com/googleapis/google-cloud-python/blob/4c8184a1023b3c68633c50fdd53fe5136883dd2a/firestore/google/cloud/firestore_v1beta1/query.py#L778-L825) to deal with that case. The corresponding `Collection` methods also need their docstrings adjusted (they just forward arguments through to a new query object). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Sphinx needs to document methods from _implicit_environ See https://github.com/GoogleCloudPlatform/gcloud-python/issues/841#issuecomment-94521450 for context. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: comment correction in modeling_bart.py Hello, in here https://github.com/huggingface/transformers/blob/07708793f20ec3a949ccab32cc4fe0c7272dcc4c/src/transformers/modeling_bart.py#L588 I think the comment should be ``` # Convert to Bart output format: (BS, seq_len, model_dim) -> (seq_len, BS, model_dim) ``` Before transpose , shape of x and encoder_hidden_states are both (BS, seq_len, model_dim) to me. Thanks. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Docker-compose rejects windows style volume mappings When building windows containers a compose file like: ``` foo: image: windowsservercore volumes: - C:\\foo:C:\\bar:ro ``` Results in the error: ERROR: Volume c:\\foo:c:\\bar:ro has incorrect format, should be external:internal[:mode] But if I call docker directly with \"docker run -v C:\\foo:C:\\bar:ro windowsservercore\" it is accepted as expected. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: `map` execution bottleneck w/ DaskExecutor Consider the following Flow run: ```python import time from prefect import task, Flow from prefect.engine.executors import DaskExecutor @task def ll(): return [1, 2, 3] @task def zzz(secs): time.sleep(secs) return secs @task def record(t): return time.time() with Flow() as f: rec = record.map(zzz.map(ll())) res = f.run(return_tasks=[rec], executor=DaskExecutor()) [s.result for s in res.result[rec]] # >> [1536705286.304595, 1536705286.3044171, 1536705286.304192] ``` Notice that all three `record` tasks ran ~simultaneously. This is in stark contrast to running this with the `SynchronousExecutor`: ```python res = f.run(return_tasks=[rec]) [s.result for s in res.result[rec]] # >> [1536705326.7620091, 1536705328.765225, 1536705331.7671402] ``` In this case, we see the different \"branches\" produced by `map` executing at very different times. Ideally, this behavior should be approximately replicated for the `DaskExecutor` as well, where execution continues after the `map` step without waiting for _all_ mapped tasks to complete. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Deprecate Shor's algorithm. - not used by any application and if we'll ever be able to apply it at scale, it would require a complete re-write - might be migrated to Qiskit Textbook Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: Chain exceptions where appropriate Picking up from #15731, there are many places in numpy where we do something like: ```python try: something_which_throws_typeError except TypeError: raise ValueError(\"a clearer explanation of what went wrong\") ``` It would produce a marginally clearer error if we could change these to use traceback chaining. Our two options are either: 1. The inner error provides valuable information that is not present in the outer error. We should use `from e`. ```python try: something_which_throws_typeError except TypeError as e: raise ValueError(\"a clearer explanation of what went wrong\") from e ``` 2. The inner error provides no valuable information that is not present in the outer error. We should use `from None`: ```python try: some_dict[name] except KeyError: raise ValueError(\"The name %s is not supported\" % name) from None ``` In that example all the information from the `KeyError` is already in the message of the new error, so there is no point chaining An example of such a change would be [this line](https://github.com/numpy/numpy/pull/15731/files#diff-e55dc29434893b7f529192a2e77e9b07R7070) of this otherwise-discarded patch. For now, I would recommend we only apply this to cases where the exception is thrown unconditionally, as other cases can be more nuanced. --- ### Please see [this list](https://github.com/numpy/numpy/issues/15986#issuecomment-660762674) for potential places to contribute. Special thanks to @nkleinbaer for compiling the list! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: finding a bug in training the code of /src/transformers/models/detr/modeling_detr.py finding a bug in training the code of https://github.com/huggingface/transformers/blob/f74655cd9b2e316af9d862968bc59c15d6849cad/src/transformers/models/detr/modeling_detr.py https://github.com/huggingface/transformers/blob/f74655cd9b2e316af9d862968bc59c15d6849cad/src/transformers/models/detr/feature_extraction_detr.py#L616 should change encoded_inputs[\"targets\"] to encoded_inputs[\"labels\"] because in https://github.com/huggingface/transformers/blob/f74655cd9b2e316af9d862968bc59c15d6849cad/src/transformers/models/detr/modeling_detr.py#L1350 we use variable of name labels in the function. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: \"docker-compose run\" stops (deletes!) other scaled services I see the \"breaking change\" about `up` resetting a service back down to its \"default\" value (the last scale'd value?) https://github.com/docker/compose/releases/tag/1.13.0. But it seems even doing a `docker-compose run other-service /script.sh` causes *other* services to be re-scaled. What's weird is my other services are being scaled back down to 1, so I'm losing volumes! I use `depends_on`, maybe that's contributing factor. Sorry I haven't made a simple repro but hoping someone knows more this seems like a serious regression. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Support for non-static data for reinforcement learning What would be the best approach for reinforcement learning problems where you would need to interact with the environment for data? Maybe DataLoader is restricting? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: want array.get() with fallback I often find myself doing arrays of things like e.g. unit tests or exes or such which are then processed in a foreach loop. Sometimes each array element is an array in itself, so that 'extra' things like extra source files, extra deps and such can be added. This means that inside the array one has to have lots of ``` extra_foo = [] if element.length() > N extra_foo = element.get(N) endif ``` It would be nicer if we could just do: ``` extra_foo = element.get_with_fallback(N, []) ``` and ideally it would default to returning `[]` if no fallback is specified. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Multiple dist formats doesn't work as stated in help documentation Seems that `meson dist -C build --formats=xztar,gztar` no longer works. Help documentation for `--formats` says: `Comma separated list of archive types to create.` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Check plugin traces output In some lines of the output of the plugins lines are printed in the same line of a progress bar. TODO: Check the output in the develop branch and make sure plugin traces are printed in a new line. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [SCM] Cloning repository not working when using exports attribute - [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. ## System info **Conan version**: 1.4.4 **Operating System**: Debian 9 (stretch) ## Problem explanation When using scm and also specify at least a file in the \"exports\" attribute, conan fails to bring the sources with git clone, saying that the folder is not empty. Thing is that before doing git clone in the source folder in local cache, conan first copies what is in the \"export\" folder to the \"source\" folder. Obviously, you can't do git clone afterwards. If specifying a subfolder, scm would work, but I do need the sources to be in the root \"source\" folder, not in a subfolder. ## Steps to reproduce I reproduced it in a repo: https://github.com/Sebiee/conan_bug ```bash git clone https://github.com/Sebiee/conan_bug cd conan_bug conan export . conan/test #remove file scm_folder.txt from local cache to force cloning from git conan test test_package string_wrapper/1.0.0@conan/test --build string_wrapper ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Bigtable: new system test failure #5513 caused a new (non-flaky, AFAICT) [system test failure](https://circleci.com/gh/GoogleCloudPlatform/google-cloud-python/7142): ```python def test_create_table_with_split_keys(self): temp_table_id = 'foo-bar-baz-split-table' initial_split_keys = [b'split_key_1', b'split_key_10', b'split_key_20', b''] temp_table = Config.INSTANCE.table(temp_table_id) temp_table.create(initial_split_keys=initial_split_keys) self.tables_to_delete.append(temp_table) # Read Sample Row Keys for created splits sample_row_keys = temp_table.sample_row_keys() self.assertEqual(set([srk.row_key for srk in sample_row_keys]), > set(initial_split_keys)) E AssertionError: Items in the second set but not the first: E 'split_key_1' E 'split_key_10' E 'split_key_20' ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: oom-kill-disable option not available (Follow up to #754) This might be somewhat awkward option in docker-compose.yml, but perhaps a pass-through argument for `docker-compose run`? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Specifying --gui=tk at the command line I'd like to be able to specify `--gui=tk` at the command line. I'm trying to embed a kernel into my Tkinter app following [the similar Qt example](https://github.com/ipython/ipython/blob/master/examples/lib/internal_ipkernel.py). When I use `kernel.initialise(['python', '--gui=tk'])` I get the error message: ``` CRITICAL | The 'gui' trait of an IPKernelApp instance must be any of ('qt', 'wx', 'gtk', 'glut', 'pyglet', 'osx') or None, but a value of 'tk' was specified. ``` I can't use `--pylab=tk` because I don't want the kernel to try to initialise Matplotlib. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Performance regression in transpile with optimization_level <=2 ### Information - **Qiskit Terra version**: master (since https://github.com/Qiskit/qiskit-terra/commit/35db627fbd1c9762d9f394c71a1df129c24797f4 ) - **Python version**: Any - **Operating system**: Any ### What is the current behavior? The benchmarking site has flagged a regression on transpile of circuits with optimization <= 2 after https://github.com/Qiskit/qiskit-terra/commit/35db627fbd1c9762d9f394c71a1df129c24797f4 merged. This is a bit unexpected since the primary change was on block collection and consolidation which is only run on level 3 (which got faster). https://qiskit.github.io/qiskit/#transpiler_levels.TranspilerLevelBenchmarks.time_transpile_qv_14_x_14?machine=qiskit-benchmarking&os=Ubuntu%2018.04&ram=16%20GB&p-transpiler%20optimization%20level=0&p-transpiler%20optimization%20level=1&p-transpiler%20optimization%20level=2&p-transpiler%20optimization%20level=3&commits=35db627f Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: dependency: Undefined variable 'type_string' ``` python def get_variable(self, variable_name): p = subprocess.Popen([self.pkgbin, '--variable=%s' % variable_name, self.name], stdout=subprocess.PIPE, stderr=subprocess.PIPE) out = p.communicate()[0] if p.returncode != 0: if self.required: raise DependencyException('%s dependency %s not found.' % (type_string, self.name)) else: variable = out.decode().strip() mlog.debug('return of subprocess : %s' % variable) return variable ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Allow idempotency keys with Server In https://github.com/PrefectHQ/prefect/pull/3005/files#diff-7836972d3e8bafd3361be68b33c62fb3R126 we introduced a trap to ensure that Server doesn't receive idempotency keys. Once a new version of Server is released that does support them, we should remove this trap. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: add Trainer states ## 🚀 Feature Add trainer states so in each time user get info what is happening ### Motivation simplify the return values and clean up the interface ### Pitch The state will be implemented as enum and updated according to Trainer phase: - INITIALIZE - RUNNING - FINISHED - TEARING_DOWN - TERMINATED - ... Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Display of controlled composite gates appears incorrect. ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? Controlled composite gates appear with the wrong number of controls. ### Steps to reproduce the problem ``` qc1 = QuantumCircuit(3, name='ghz') qc1.h(0) qc1.cx(0, 1) qc1.cx(1, 2) ghz = qc1.to_gate() cghz = ghz.control(1) qc2 = QuantumCircuit(4) qc2.append(cghz, [1, 0, 2, 3]) print(qc2) ``` results in, ``` q_0: |0>───■─── │ q_1: |0>───■─── │ q_2: |0>───■─── ┌──┴──┐ q_3: |0>┤ Ghz ├ └─────┘ ``` ### What is the expected behavior? The number of controls should be `num_ctrl_qubits`. The exception might be if the gate being controlled is itself a controlled gate. For instance a gate like x.control().control() would show two control qubits. ### Suggested solutions Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: CMake subprojects don't work when using Meson from .msi When running Meson from the msi installation, it will fail a Cmake subproject build because it doesn't have `mesonbuild/cmake/data/preload.cmake` nor does it have `mesonbuild/cmake/data/run_ctgt.py`. `mesonbuild/cmake/data/preload.cmake`: This can just be added to the msi. Not too difficult and hopefully I can send in that PR soon. `mesonbuild/cmake/data/run_ctgt.py`: If this is simply added to the msi, it will violate the \"no python required\" aspect of the msi. This can be added as a hidden import to the msi, but then it needs to be called with `meson --internal run_ctgt ...`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: Need a function for concat layers in stax, maybe FanInCat Sometimes we need concat many layers. So like parallel, FanOut and FanInSum, we need FanInCat Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: scipy minimal required version does not have unitary_group ### Informations The changes included in #760 require a `scipy` version that provides `scipy.stats.unitary_group`, which is not available in the minimal version currently required for scipy: ``` scipy>=0.19 ``` We should look for the minimal version of `scipy` that includes that function (seems to be 1.0) and update the dependencies accordingly - otherwise we risk installations with broken `qiskit.tools.qi.qi` in some cases. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: conda env export deprecated? Got a rather strange warning earlier that seemed to imply `conda env export` is going to stop working. I hope I'm just misreading this and/or this warning is talking about something else. FWIW I have found `conda env export` really useful so as to export an environment file to `stdout` that I can then include in issues. This way people can reproduce the issue I'm running into. ```bash $ conda info Current conda install: platform : linux-64 conda version : 4.2.13 conda is private : False conda-env version : 4.2.13 conda-build version : 2.1.2 python version : 3.5.3.final.0 requests version : 2.12.5 root environment : /opt/conda (writable) default environment : /opt/conda/envs/test envs directories : /opt/conda/envs package cache : /opt/conda/pkgs channel URLs : https://conda.anaconda.org/conda-forge/linux-64 https://conda.anaconda.org/conda-forge/noarch https://repo.continuum.io/pkgs/free/linux-64 https://repo.continuum.io/pkgs/free/noarch https://repo.continuum.io/pkgs/pro/linux-64 https://repo.continuum.io/pkgs/pro/noarch config file : /root/.condarc offline mode : False $ conda env export DEPRECATION: The default format will switch to columns in the future. You can use --format=(legacy|columns) (or define a format=(legacy|columns) in your pip.conf under the [list] section) to disable this warning. ... ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Notebook should check that --notebook-dir exists otherwise the UI is confusing, it works but jus refuses to upload files. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: `dockerfile` and `image` shouldn't be allowed in combination A file like this should result in a validation error: ``` yaml web: image: myimage dockerfile: Dockerfile.alt ``` This should also be documented. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Error reporting system tests needed Follow up to #3263. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: ImportError: cannot import name 'BigBirdTokenizer' from 'transformers' ## Environment info - `transformers` version: 4.9.1 - Platform: windows - Python version: 3.9 - PyTorch version (GPU?): 1.9 (CPU) - Tensorflow version (GPU?): - Using GPU in script?: no - Using distributed or parallel set-up in script?: ## Information Model I am using BigBird: The problem arises when using: * [ ] the official example scripts: (give details below) * [X] my own modified scripts: (give details below) The tasks I am working on is: * [ ] an official GLUE/SQUaD task: (give the name) * [x] my own task or dataset: (give details below) ## To reproduce Steps to reproduce the behavior: ``` from transformers import BigBirdTokenizer,BigBirdModel print(\"hello\") ``` ## Expected behavior No import error. Importing **BigBirdTokenizerFast** works without a problem. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: compiling time grows non-linear w.r.t. the number of random.split ops A repro code ``` from jax import jit, random from jax.config import config; config.update(\"jax_platform_name\", \"cpu\") import time def f(key, i): for _ in range(i): _, key = random.split(key) return key for i in range(17): t = time.time() key = jit(f, static_argnums=(1,))(random.PRNGKey(0), i).copy() print(\"split {} times takes {}\".format(i, time.time() - t)) ``` which returns ``` split 0 times takes 0.008060216903686523 split 1 times takes 0.05638694763183594 split 2 times takes 0.13771629333496094 split 3 times takes 0.284271240234375 split 4 times takes 0.4720790386199951 split 5 times takes 0.8609561920166016 split 6 times takes 1.5761287212371826 split 7 times takes 2.615913152694702 split 8 times takes 4.20055079460144 split 9 times takes 6.581374168395996 split 10 times takes 9.83530855178833 split 11 times takes 15.45705771446228 split 12 times takes 20.33790898323059 split 13 times takes 27.418986320495605 split 14 times takes 35.04498267173767 split 15 times takes 44.33582162857056 split 16 times takes 53.186384439468384 ``` @mattjj I think that this causes the regression of gamma sampler in our last discussion. The above issue is causing a big problem in compiling models with many random latent variables in NumPyro. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Exceptions thrown in cell with multiline strings It seems that when an exception is raised from a cell with a multiline string, we get a code-red error. Try: ``` raise Exception(r'''foo ''') ``` It will report: ``` ERROR: An unexpected error occurred while tokenizing input The following traceback may be corrupted or invalid The error message is: ('EOF in multi-line string', (1, 0)) --------------------------------------------------------------------------- Exception Traceback (most recent call last) in () 1 raise Exception(r'''foo ----> 2 ''') Exception: foo ``` The first three lines are worrying for the casual user. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Specify project and service with container labels Labels are likely going to land in Docker 1.6: https://github.com/docker/docker/pull/9882 If we used these to specify what project and service a container is part of, a whole load of stuff becomes a lot simpler. We don't have to do gross things like `project, service, n = container_name.split(\"_\", 3)`. Questions: - Do we still want to give containers names? It's useful to be able to reference containers like that (`docker exec project_web_1`) and we want something useful to show up in `docker ps` - Do we still want to give containers integer references of some kind? It's pretty handy to be able to have a human readable reference to a container Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: IPython can't provide completions for second level modules when Jedi completions are disabled This problem was reported in [Spyder](https://github.com/spyder-ide/spyder/issues/20381#issuecomment-1419243534) and I was able to reproduce it locally. Basically, if you run ```python In [1]: import numpy as np In [2]: np.linalg. ``` you won't get completions for the `linalg` module. After a bit of testing, I found that this problem doesn't show up if Jedi completions are enabled. But we have them disabled by default in Spyder because they introduce serious lags when working with large dataframes. It'd be nice if this could be fixed for the next IPython release and I'm able to put some time to do it. @krassowski, could you let me know where to start looking for a possible solution? Thanks! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: SparsePauliOp.__getitem__ causes a problematic behavior with numpy’s __mul__ ### Information - **Qiskit Terra version**:master (b5d5a3b) - **Python version**: 3.8.5 - **Operating system**: macOS ### What is the current behavior? SparsePauliOp does not support a multiplication with np.int64, np.float64, and... ### Steps to reproduce the problem For example, ```python from qiskit.quantum_info import SparsePauliOp, Pauli import numpy as np print(np.int(2) * SparsePauliOp(Pauli(label='X'))) print('--------') print(np.int64(2) * SparsePauliOp(Pauli(label='X'))) ``` outputs ``` SparsePauliOp([[ True, False]], coeffs=[2.+0.j]) -------- [[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[SparsePauliOp([[ True, False]], coeffs=[2.+0.j])]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]]] ``` ### What is the expected behavior? ### Suggested solutions There are many solutions. One is `__getitem__` returns a tuple of Pauli and coeff. Current SprsePauliOp can get an item again and again. e.g. sp is instance of SparsePauliOp and we can get `sp[0][0][0][0]...` I found this in https://github.com/Qiskit/qiskit-terra/pull/5261 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Provide pylint plugin to avoid warnings in IDE when working with conanfile.py ## Problem When editing `conanfile.py` with editor which has linter support (VS Code with Python extension in my case) there are a bunch of errors related to dynamic fields (like `self.copy is not callable` or `Instance of ConanFile doesn't have package_folder member`). ## Proposal Conan has a built-in linting support for conanfile.py, but it deals with dynamic fields by post-processing json output. It would be useful if this logic is moved to a pylint plugin which can be reused by editor/IDE or via command line options. There are few tutorials on the Internet about how to do it. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the explosion/spaCy codebase. Here's the problem: Model download returns 0 on failure While building a Docker image containing spaCy, there was an issue downloading the basic model with `python -m spacy download en`: `ReadTimeoutError: HTTPSConnectionPool(host='github-production-release-asset-2e65be.s3.amazonaws.com', port=443): Read timed out.` The download returned 0 so the build continued. Next, while building an Rasa NLU model, it couldn't find the model (as you might expect): `IOError: Can't find model 'en'` So I thought, if the download doesn't report failure, maybe I should use the `validate` command to make sure there's a model present before continuing the build? But `validate` also returns 0 when no models are present: ``` Installed models (spaCy v2.0.5) /usr/local/lib/python2.7/dist-packages/spacy No models found in your current environment. ``` I would expect the download tool to return non-zero when it fails to finish downloading a model. ## Your Environment * **Python version:** 2.7.12 * **Platform:** Linux-4.4.0-98-generic-x86_64-with-Ubuntu-16.04-xenial * **spaCy version:** 2.0.5 * Environment Information: building an image with Docker 17.09.0 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Time magics shadow __future__.division I regularly include `from __future__ import division` in the first cell of my notebooks, alongside `%pylab inline`. I also frequently wish to identify bottlenecks in my code using the `%time` and `%%time` magics. However, this occasionally causes subtle bugs, because a line using the `%time` magic or a cell using the `%%time` magic does not actually use `__future__.division`. ``` 1/2 ``` yields 0.5, but ``` %time 1/2 ``` and ``` %%time 1/2 ``` both yield 0. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: accept a string in addition to a `[Dataset|Table]Reference` in the `[Dataset|Table]` constructors This is a follow-up to https://github.com/googleapis/google-cloud-python/issues/6055 I missed the `Dataset` and `Table` constructors when making anywhere that takes a `[Dataset|Table]Reference` also accept a string. In these constructors, there isn't a project ID available, so the string would have to be fully-qualified (that is, it needs to contain a project ID). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Break up packages into multiple `extras` Currently, with an install of `dev` we install _all_ possible packages any task in the task library might require; this is undesirable. We should break up `dev` extras into multiple `extras` packages, and update our CI jobs to just install `all_extras`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Pipeline for Conditional Generation (T5 type models) As text-to-text models (like T5) increase the accessibility of multi-task learning, it also makes sense to have a flexible \"Conditional Generation\" pipeline. For example, I should be able to use this pipeline for a multitude of tasks depending on how I format the text input (examples in Appendix D of the [T5 paper](https://arxiv.org/pdf/1910.10683.pdf)). As a baseline, this should be able to work on `T5ForConditionalGeneration` and allow for any of the tasks that are learned by the open sourced T5 model. Since T5 isn't usable for `TextGenerationPipeline`, I propose we add a `ConditionalGenerationPipeline`. Please do let me know if there is an existing way to perform the above via pipelines, or if adding a pipeline doesn't makes sense for this; otherwise, I can submit a PR for the above `ConditionalGenerationPipeline` 🙂 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: PIN 16: Implement `Result.validate` ## Use Case ~Blocked by #2143 and #2139~. See [PIN 16](https://github.com/PrefectHQ/prefect/pull/2134) for background. ## Solution Implement `Result.validate` such that - if `Result.run_validators=True` - all `Result.validators` are called on the result value - if any fail, raise ValidationFailed signal to trigger ValidationFailed state (*see alternative) - if all succeed, return True (*see alternative) ## Alternatives *Please describe any alternatives you've considered, even if you've dismissed them* - *I may be misrepresenting the intended method signature; if this method will be called by a TaskRunner method, we may want to receive `False` instead of a raise a ValidationFailed signal to allow the TaskRunner method to construct the ValidationFailed state and return it as part of the pipeline a la https://github.com/PrefectHQ/prefect/blob/66703e5f0a2d0d035d4d48af013b87d24a7a2a56/src/prefect/engine/task_runner.py#L957-L964 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add Looping documentation - [x] API references - [ ] Example Flow - [ ] Blog Post Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: timeout setting is not passed to job submission [remote backend] ### Informations - **Qiskit Terra version**: the newest master branch - **Python version**: 3.6.5 - **Operating system**: macOS 10.13 ### What is the current behavior? `timeout` setting only used for `_wait_for_result` but not `_wait_for_submission`. So, Qiskit raises `the Timeout error` after 60 seconds regardless of the setting of `timeout`. related codes: `_wait_for_result` https://github.com/Qiskit/qiskit-terra/blob/master/qiskit/backends/ibmq/ibmqjob.py#L190 `_wait_for_submission` https://github.com/Qiskit/qiskit-terra/blob/master/qiskit/backends/ibmq/ibmqjob.py#L400 ### Steps to reproduce the problem ### What is the expected behavior? `timeout` setting should be passed to `_wait_for_submission` as well. ### Suggested solutions pass the `timeout` in `_wait_for_result` to `_wait_for_submission`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the celery/celery codebase. Here's the problem: Rate limit ignored when ETA specified While I accept this is a limitation, it's not a very clear one from the documentation. It would be good to add it as a note/warning somewhere to clarify that ETA and rate limit are incompatible. http://docs.celeryproject.org/en/latest/internals/worker.html#id1 http://docs.celeryproject.org/en/latest/userguide/tasks.html?highlight=delay#Task.rate_limit ## Checklist - [ ] I have included the output of ``celery -A proj report`` in the issue. - [x] I have verified that the issue exists against the `master` branch of Celery. ## Steps to reproduce This is explained [here](http://stackoverflow.com/questions/30804857/celery-rate-limit-not-respected-when-scheduling-via-eta-option). ## Expected behavior I was expecting that the task would be delayed as per the ETA, and then be executed sometimes after that, respecting the rate limit. ## Actual behavior The rate limit is ignored entirely by Celery. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Break up the Travis build into a matrix Our Travis build is getting to be too long. We should use the following parallel builds: - Unit tests on Firefox - Coverage test on Chrome - Examples and docs Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: grad(softplus) has wrong value at zero `jax.grad(jax.nn.softplus)(0.0)` evaluates to 0.0, which is definitely wrong -- the right answer is 0.5. This is easy to visualize: ```python import matplotlib.pyplot as plt x = jax.numpy.linspace(-2, 2, num=101) plt.plot(x, jax.vmap(jax.grad(jax.nn.softplus))(x)) ```  Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Fix bug with non ascii passwords in notebook login When a password is entered with non ascii characters, a `500: Internal Server Error` is returned. I don't think non ascii passwords should be supported, but a 'Invalid password' message should be returned. ``` 2013-11-12 11:43:19.608 [tornado.application] ERROR | Uncaught exception POST /login?next=%2F (127.0.0.1) HTTPRequest(protocol='http', host='127.0.0.1:8888', method='POST', uri='/login?next=%2F', version='HTTP/1.1', remote_ip='127.0.0.1', headers={'Origin': 'http://127.0.0.1:8888', 'Content-Length': '63', 'Accept-Language': 'en-US,en;q=0.8', 'Accept-Encoding': 'gzip,deflate,sdch', 'Host': '127.0.0.1:8888', 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8', 'User-Agent': 'Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36', 'Connection': 'keep-alive', 'Referer': 'http://127.0.0.1:8888/login', 'Content-Type': 'application/x-www-form-urlencoded'}) Traceback (most recent call last): File \"C:\\Python27\\lib\\site-packages\\tornado\\web.py\", line 1141, in _when_complete callback() File \"C:\\Python27\\lib\\site-packages\\tornado\\web.py\", line 1162, in _execute_method self._when_complete(method(*self.path_args, **self.path_kwargs), File \"C:\\Python27\\lib\\site-packages\\IPython\\html\\auth\\login.py\", line 48, in post if passwd_check(self.password, pwd): File \"C:\\Python27\\lib\\site-packages\\IPython\\lib\\security.py\", line 116, in passwd_check h.update(cast_bytes(passphrase, 'utf-8') + str_to_bytes(salt, 'ascii')) UnicodeDecodeError: 'ascii' codec can't decode byte 0xd7 in position 0: ordinal not in range(128) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: mark headers as \"SYSTEM\" headers to silence warnings Many libraries generate tons of warnings in public headers. WebSocket++ uses auto_ptr for example and many Boost libraries truncate integers implicitly (-Wconversion). To consume these libraries you have to treat them as system headers because GCC won't emit warnings in these. This is how Conan currently sets the include directories: ``` CMake include_directories(${CONAN_INCLUDE_DIRS}) ``` This is how you would add them as \"system\" headers to silence warnings: ``` CMake include_directories(SYSTEM ${CONAN_INCLUDE_DIRS}) ``` Is there a reason it is not already done this way? This issue may apply to configurations other than CMake/GCC, too, but this is the most important one for me. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: BUG: f2py shell behavior Creating an issue / bookmark for the recent report from @embray in #11937, related to removal of `exec_command()` from `f2py` machinery, which reads: > Unfortunately this seems to have broken the previously documented assumption that f2py would be called through a shell. In SageMath, this fact was used by using shell I/O redirection (e.g. > ) to capture standard I/O from the f2py call. This have passed shell=True to subprocess.check_output in order to preserve that behavior, unless breaking it was intentional. This was also used to capture stderr, which I think the current code does not do. > Also discussed at https://trac.sagemath.org/ticket/27000#comment:10 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: conda install --download-only feature Right now we have `--dry-run`, but is there a way to actually download the `.tar.bz2` files into `pkgs` without installing them? If not, can there be? `--download-only` is one design with precedent, but also maybe as a separate subcommand, like `pip download`. The overarching goal is to get `pkgs` populated with all the dependencies necessary for an application and freezing it out into something akin to [a wheelhouse](https://pip.pypa.io/en/stable/reference/pip_wheel/#examples) for reproducible installs ([a la](https://www.paypal-engineering.com/2016/09/22/python-by-the-c-side/)). Thanks in advance! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: In storage.Key.get_contents_to_filename, improve error checking and exception handling and add timestamp to file object From TODO: ``` python # TODO: Add good error checking. # TODO: Add good exception handling. # TODO: Set timestamp? Make optional, default being to set it if possible? ``` Also, consider renaming `get_contents_to_filename` and `get_contents_to_file`. The `get` is a misleading verb, since a `read` into a file is what is happening. See [`gcloud.storage.Key.get_contents_to_filename`](https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/key.py#L169) for relevant code and #146 for some context. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the dagster-io/dagster codebase. Here's the problem: `ConfigurableIOManagerFactory` can't be passed to `asset(io_manager_def=)` ### Dagster version 1.3.1 ### What's the issue? The title ```python E dagster._check.ParameterCheckError: Param \"io_manager\" is not a IOManagerDefinition. Got LightningIOManager(base_path='/tmp/pytest-of-dan/pytest-5/dagster0', _state__internal__=ConfigurableResourceFactoryState(nested_partial_resources={}, resolved_config_dict={'base_path': '/tmp/pytest-of-dan/pytest-5/dagster0'}, config_schema=, schema=Field(, default={}, is_required=False), nested_resources={}, resource_context=None)) which is type .LightningIOManager'>. ``` ### What did you expect to happen? _No response_ ### How to reproduce? _No response_ ### Deployment type None ### 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?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Only create the default network if it's necessary Our docs (https://github.com/docker/compose/blob/master/docs/networking.md#custom-container-network-modes) claim that we only create the network if it's going to be used, but currently we always create the network when `--x-networking` is set. We should only be creating it if at least one container uses the default network. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Embedding PDFs I would like to add support for embedding PDF files into ipython notebooks. I understand that browsers differ in their ability to display PDFs, but I think there are several ways to get around this issue and the pros of including this functionality outweigh the cons: - the current standard vector format is SVG, which is apparently preferred by the open source community, but is not generally accepted for use in the scientific community -- I typically have to embed a png into ipython while I'm working and export a PDF separately for presentation and publication purposes - SVG is poorly supported on the Mac (and Adobe Illustrator can't handle even basic SVGs properly), whereas PDF is a native format - the notebook to latex export requires converting SVG to PDF A quick proof-of-principle notebook shows that using `IPython.display.HTML` to wrap an HTML `` tag with the PDF data embedded works fine in at least Safari, Chrome and (with a PDF viewer plugin) Firefox. Adding this functionality to IPython itself would be great. I'm happy to work on this if there's interest and someone can guide me with some of the details on the actual publishing and nbconversion that would make this great. Just to be clear, I'm not using pylab/matplotlib to create the PDFs -- I realize that there's some work done on linking PDFs created using that system (but I couldn't find a general purpose API for embedding PDFs). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Potential bug: Tokens with punctuation are re-tokenized although I've set `is_split_into_words=True` ## Environment info - `transformers` version: 4.5.1 - Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic - Python version: 3.7.10 - PyTorch version (GPU?): 1.8.1+cu101 (False) - Tensorflow version (GPU?): 2.4.1 (False) - Using GPU in script?: No - Using distributed or parallel set-up in script?: No ### Who can help tokenizers: Hi @LysandreJik! ## Information I am working on a token classification task where my input is in the following format: ``` texts = [['Foo', 'bar', '.'], ['Hello', 'world', '.']] tags = [['B-ENT, 'I-ENT', 'O'], ['O', 'O, 'O']] ``` - **Model:** `bert-large-cased` - **Tokenizer:** `BertTokenizerFast`. I align tokens with their tags as in this [tutorial](https://huggingface.co/transformers/custom_datasets.html#token-classification-with-w-nut-emerging-entities). ## Problem Although I've set `is_split_into_words=True` in the tokenizer, tokens containing punctuation are tokenized. ## To reproduce I reproduced the issue in this [Google Colab notebook](https://colab.research.google.com/drive/1mNJ-T6kOaC5_a8C3T_qCXBNFP5WYC5oi?usp=sharing). ## Expected behavior Since I've set `is_split_into_words=True`, I would expect the tokenizer to keep the tokens as they are and split them into subwords with `##`. For example, if a token is `'foo(bar'`, I would expect it to stay that way, instead of being split into `['foo', '(', 'bar']`. Thanks a lot for reading the issue! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: The b_ndebug option doesn't define NDEBUG with MSVC When setting the option `b_ndebug` to `if-release` or `true`, the `NDEBUG` macro is not correctly defined for the msvc compiler. **To Reproduce** *meson.build* ``` project('myProject', 'cpp', version : '0.1', default_options : ['b_ndebug=true']) exe = executable('exe', 'main.cpp') ``` *main.cpp* ``` #ifdef NDEBUG #pragma message(\"NDEBUG is defined\") #else #pragma message(\"NDEBUG is not defined\") #endif int main() { return 0; } ``` In a VS BuildTools prompt: ``` meson build ninja -C build ``` ninja output: ``` ninja: Entering directory `build' [1/2] Compiling C++ object exe@exe/main.cpp.obj. NDEBUG is not defined [2/2] Linking target exe.exe. ``` **Expected behavior** Compilation should output `NDEBUG is defined`. **System parameters** * It's a plain native build * OS: Windows 10 * Python version: 2.7.17 (I know python < 3 is deprecated but I don't think it's a matter here) * Meson version: 0.53.1 * Ninja version: 1.9.0 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: MSI installed meson fails to rerun in visual studio Initially, I ran `meson build` from the source code directory `xxx` to create the build directory. Later, if any `meson.build` files are modified, Visual studio fails to rerun Meson with the backtrace below. Meson is installed with MSI. It works with ninja as backend. It also works if meson isn't installed with MSI. It seems like `mesonscript` in `regen_checker` is invalid when meson is installed with MSI. ``` >meson.exe : error : unrecognized arguments: --internal regenerate C:\\Users\\niklas\\Documents\\git\\xxx C:\\Users\\niklas\\Documents\\git\\xxx 1> Traceback (most recent call last): 1> File \"C:\\Users\\niklas\\AppData\\Local\\Programs\\Python\\Python36-32\\lib\\site-packages\\cx_Freeze\\initscripts\\__startup__.py\", line 14, in run 1> module.run() 1> File \"C:\\Users\\niklas\\AppData\\Local\\Programs\\Python\\Python36-32\\lib\\site-packages\\cx_Freeze\\initscripts\\Console.py\", line 26, in run 1> exec(code, m.__dict__) 1> File \"meson.py\", line 37, in 1> File \"meson.py\", line 34, in main 1> File \"mesonbuild\\mesonmain.py\", line 311, in run 1> File \"mesonbuild\\mesonmain.py\", line 278, in run_script_command 1> File \"mesonbuild\\scripts\\regen_checker.py\", line 56, in run 1> File \"mesonbuild\\scripts\\regen_checker.py\", line 42, in regen 1> File \"C:\\Users\\niklas\\AppData\\Local\\Programs\\Python\\Python36-32\\lib\\subprocess.py\", line 291, in check_call 1> raise CalledProcessError(retcode, cmd) 1> subprocess.CalledProcessError: Command '['C:\\\\Program Files\\\\Meson\\\\meson.exe', 'C:\\\\Users\\\\niklas\\\\Documents\\\\git\\\\xxx\\\\meson', '--internal', 'regenerate', 'C:\\\\Users\\\\niklas\\\\Documents\\\\git\\\\xxx\\\\build', 'C:\\\\Users\\\\niklas\\\\Documents\\\\git\\\\xxx', '--backend=vs2015']' returned non-zero exit status 2. ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] add prefix var to pkg-config alias ### What is your suggestion? When a package contains components, conan pkg-config generator generates one .pc file per component, plus a root .pc file that includes all the components .pc files. However, the generated root .pc file does not contain the `prefix` variable. When I use the meson build system, I may need to access that variable, since this is the easiest way to get the location of the installed conan package. For instance, I may need this path to find a tool installed along with this pacakge. An other example is the `boost` package. meson expects the `boost.pc` package to have the `prefix` variable, and not having it causes issues (https://github.com/mesonbuild/meson/pull/11487 was an attempt to fix this on the meson side, but the real problem is on the conan generated file, imho). Another problem with the generated root .pc file is that it doesn't honnor the `pkg_config_custom_content` property. Therefore, it is not possible to inject custom contents in the generated root .pc file. ### Have you read the CONTRIBUTING guide? - [X] I've read the CONTRIBUTING guide Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: GaussianSquare pulse is parameterized oddly ### What is the expected enhancement? Just looking at the parameterization of GaussianSquare in qiskit pulse (https://qiskit.org/documentation/stubs/qiskit.pulse.GaussianSquare.html) — it seems to make the “natural” thing to do when sweeping the duration to leave the width of the square top part constant and vary the width of the rise/fall.. A user might reasonably expect the width of the top part to sweep with duration so longer duration pulses have linearly more power. This happens to be extremely inefficient with our backend hardware in terms of memory consumption (and is probably not what most people want to do when they sweep a duration anyway.) Would it make sense to provide a more natural parameterization (possibly as a named risefall argument or something)? Lauren suggested using a num_sigma parameter instead of width to characterize how long (in units of sigma) the rise/fall sections should be. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Feature Request: Specify the name of scan-build executable with an environment variable FreeBSD doesn't have a command called `scan-build`. Packages in ports use versioned names, such as `scan-build37`, `scan-build38`, `scan-build39`, because there is no default version and installing multiple versions is supported. It will be nice to allow specifying the name of scan-build with an environment variable, so we don't have to create a symlink and modify `PATH` to use the `scan-build` target. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: Using TaskGroup without context manager (Graph view visual bug) **Apache Airflow version**: 2.0.0 **Kubernetes version (if you are using kubernetes)** (use `kubectl version`): n/a **What happened**: When I do not use the context manager for the task group and instead call the add function to add the tasks, those tasks show up on the Graph view.  However, when I click on the task group item on the Graph UI, it will fix the issue. When I close the task group item, the tasks will not be displayed as expected.  **What you expected to happen**: I expected the tasks inside the task group to not display on the Graph view.  **How to reproduce it**: Render this DAG in Airflow ```python from airflow.models import DAG from airflow.operators.bash import BashOperator from airflow.operators.dummy import DummyOperator from airflow.utils.task_group import TaskGroup from datetime import datetime with DAG(dag_id=\"example_task_group\", start_date=datetime(2021, 1, 1), tags=[\"example\"], catchup=False) as dag: start = BashOperator(task_id=\"start\", bash_command='echo 1; sleep 10; echo 2;') tg = TaskGroup(\"section_1\", tooltip=\"Tasks for section_1\") task_1 = DummyOperator(task_id=\"task_1\") task_2 = BashOperator(task_id=\"task_2\", bash_command='echo 1') task_3 = DummyOperator(task_id=\"task_3\") tg.add(task_1) tg.add(task_2) tg.add(task_3) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: Typo in Sensor: GCSObjectsWtihPrefixExistenceSensor (should be GCSObjectsWithPrefixExistenceSensor) Typo in Google Cloud Storage sensor: airflow/providers/google/cloud/sensors/gcs/GCSObjectsWithPrefixExistenceSensor The word _With_ is spelled incorrectly. It should be: GCSObjects**With**PrefixExistenceSensor **Apache Airflow version**: 2.0.0 **Environment**: - **Cloud provider or hardware configuration**: Google Cloud - **OS** (e.g. from /etc/os-release): Mac OS BigSur Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: compare QuantumCircuit with open controlled gate raises RecursionError ### Information - **Qiskit Terra version**: Master and 0.14.1 - **Python version**: 3.7 - **Operating system**: MacOS ### What is the current behavior? ```python from qiskit import QuantumCircuit from qiskit.circuit.library.standard_gates import XGate circuit1 = QuantumCircuit(2) circuit1.append(XGate().control(1, ctrl_state='0'), [0, 1]) circuit2 = QuantumCircuit(2) circuit2.append(XGate().control(1, ctrl_state='0'), [0, 1]) circuit1 == circuit2 ``` ``` RecursionError: maximum recursion depth exceeded while calling a Python object ``` ### What is the expected behavior? These circuits should comparable and equal. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: making the plot_city look nicer ### What is the expected enhancement? - [ ] make rho the latex version - [ ] use standard version of imag and real - [ ] set the size of real/imag to be the same for both plots (0.25, 0.5, 0.75, 1) depending on the largest element - [ ] add the z axis to the bottom left >> python .\\runtests.py Traceback (most recent call last): File \"C:\\Users\\hardd\\Documents\\GitHub\\numpy\\runtests.py\", line 695, in main(argv=sys.argv[1:]) File \"C:\\Users\\hardd\\Documents\\GitHub\\numpy\\runtests.py\", line 192, in main site_dir, site_dir_noarch = build_project(args) File \"C:\\Users\\hardd\\Documents\\GitHub\\numpy\\runtests.py\", line 480, in build_project site_dir = site_dir_template.format(platbase=dst_dir, KeyError: 'base' ``` And the content of the offending `site_dir_template` formattable string: ``` python >>> print(site_dir_template) {base}/Lib/site-packages ``` ### NumPy/Python version information: 1.22.0.dev0+696.g334428c4d 3.9.4 | packaged by conda-forge | (default, May 10 2021, 22:10:34) [MSC v.1916 64 bit (AMD64)] Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Conan Search query broken To help us debug your issue please explain: - [ x ] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [ x ] I've specified the Conan version, operating system version and any tool that can be relevant. - [ x ] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Conan version 1.14.1, 1.12.3, 1.11.2, 1.13.1 OS: Linux (Ubuntu 16.04 / Fedora 29) Artifactory Server Version 6.9.0 Conan search doesn't work as expected since the Upgrade of our Artifactory server: Works: `conan search my-product/1.0.0@usr/stable -q \"build_type=Release AND os=Windows\" -r releases ` Doesn't work: `conan search my-product/1.0.0@usr/stable -q \"(build_type=Release AND os=Windows) OR os=Linux\" -r releases` `ERROR: Unknown query key: (build_type. [Remote: releases]` And with more complex Queries I get an different error: `ERROR: Unexpected query syntax: (os=Windows OR os=Linux OR os=any OR os=None) AND ((compiler=gcc AND compiler.version=5.4) OR (compiler=\"Visual Studio\" AND compiler.version=14) OR compiler=any OR compiler=Any OR compiler=None) AND (arch=any OR arch=x86_64 OR arch=None) AND (arch_build=x86_64 OR arch_build=None OR arch_build=any). [Remote: releases] ` The Errors appeared first after upgrading the Artifactory Server and the queries are still working on Artifactory Server Versions 6.5.2 and 6.8.4. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: Add np.unravel_index This is what I've been using. If it looks reasonable, will see about putting together a PR. ```python def unravel_index(flat_index, shape): \"\"\" To support abstract `flat_index` there is no bounds checking. For overflow some dimensions of the resulting index will be out of bounds. For negative `flat_index` the resulting index is valid, although the first dimension will be negative. \"\"\" if len(shape) == 0: return () size_of_next_dimension = np.pad(shape[1:], (0, 1), constant_values=1) strides = np.cumprod(size_of_next_dimension[::-1], dtype='int32')[::-1] _, idx = jax.lax.scan( lambda remaining, stride: ( remaining % stride, remaining // stride ), flat_index, strides ) return tuple(idx) ``` Haven't looked at jax testing yet, would be helpful to know whether / how to incorporate these... ```python def test_unravel_index(): assert unravel_index(0, (2, 3)) == (0, 0) assert unravel_index(5, (2, 1, 3)) == (1, 0, 2) assert unravel_index(0, ()) == () assert unravel_index(3, (2,)) == (3,) assert unravel_index(-1, (2, 1, 3)) == (-1, 0, 2) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Improve Mlflow Callbacks documentation. I recently followed https://julsimon.medium.com/using-mlflow-with-hugging-face-transformers-4f69093a6c04 , transformers documentation on mlflow callback is not formatted properly.  It is better to read from the source code https://github.com/huggingface/transformers/blob/accad48e5b4a98302ea396b9f15c5f1c987b6f7f/src/transformers/integrations.py#L894 than the documentation site.  I am sure that in the past, I might have seen such examples over other classes. I thought may be I should report it. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Sabre swap mapper dominated by data copy ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior? Running Sabre on a QV circuit over 20 qubits shows that data copying is the current bottleneck: Abbreviated profile: ``` 9631133 function calls (8921864 primitive calls) in 4.184 seconds Ordered by: internal time ncalls tottime percall cumtime percall filename:lineno(function) 497066/663 0.492 0.000 1.516 0.002 copy.py:132(deepcopy) 44375/860 0.312 0.000 1.499 0.002 copy.py:220(_deepcopy_tuple) 389939 0.232 0.000 0.326 0.000 layout.py:97(__getitem__) 191092 0.179 0.000 0.511 0.000 sabre_swap.py:326() 55118/10740 0.160 0.000 1.537 0.000 copy.py:269(_reconstruct) 1312882 0.112 0.000 0.112 0.000 bit.py:73(__hash__) 1032203 0.107 0.000 0.108 0.000 {method 'get' of 'dict' objects} 44177/660 0.090 0.000 1.497 0.002 copy.py:237(_deepcopy_dict) ``` ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: Squeeze array with one element returns an array with no shape When squeezing an array that has only one element we get a non-dimensional array (instead of an array with one dimension). ### Reproducing code example: ```python import numpy as np arr = np.array([[1238]]).squeeze() arr.shape arr[0] ``` ### Error message: IndexError: too many indices for array ### Numpy/Python version information: 1.16.4 3.6.8 |Anaconda custom (64-bit)| (default, Feb 21 2019, 18:30:04) [MSC v.1916 64 bit (AMD64)] Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: _tf_available for customized built tensorflow ### System Info n/a ### Who can help? @Rocketknight1 ### Information - [ ] The official example scripts - [x] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction ``` File \"virtualenv_mlu/lib/python3.8/site-packages/transformers/pipelines/base.py\", line 212, in infer_framework_load_model raise RuntimeError( RuntimeError: At least one of TensorFlow 2.0 or PyTorch should be installed. To install TensorFlow 2.0, read the instructions at https://www.tensorflow.org/install/ To install PyTorch, read the instructions at https://pytorch.or ``` ### Expected behavior https://github.com/huggingface/transformers/blob/02b176c4ce14340d26d42825523f406959c6c202/src/transformers/utils/import_utils.py#L63L75 I built a tensorflow-xxu for our in house accelerator and tried to run the transformer example. I got the RuntimeError indicates tf is not available. Currently the _tf_available has a hard-coded candidates list. I'm not suire if extending the existing list is a good idea. Maybe adding some runtime flexibility would be better? Thanks Kevin Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: _repr_latex_ in boost.python object does not get used When one uses boost.python to export a `_repr_latex_` member of a C++ object to Python, IPython fails to use it for its notebook display. The culprit is `_valid_formatter` in https://github.com/ipython/ipython/blob/master/IPython/core/formatters.py . When it gets to `inspect.getcallargs(f)` on line 62, the inspect module throws an exception `TypeError: is not a Python function` because it does not know how to handle the boost member function. This makes it impossible to write simple LaTeX formatters using boost.python (I know there are still other ways to get boost.python objects formatted using LaTeX but the `_repr_latex_` route is by far the easiest). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: DO NOT MERGE: SecurityCenter: removes encoding marker from proto-generated file This PR was generated using Autosynth. :rainbow: Here's the log from Synthtool: ``` synthtool > Cloning googleapis. synthtool > Running generator for google/cloud/securitycenter/artman_securitycenter_v1beta1.yaml. synthtool > Ensuring dependencies. synthtool > Pulling artman image. synthtool > Generated code into /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/securitycenter-v1beta1. synthtool > Replaced '::\\n\\n\\\\s+(compare_duration, but present at [a-z]+_time.)' in google/cloud/securitycenter_v1beta1/gapic/security_center_client.py. synthtool > Replaced '::\\n\\n\\\\s+(compare_duration, but not present at [a-z]+_time.)' in google/cloud/securitycenter_v1beta1/gapic/security_center_client.py. synthtool > Replaced '(^\\\\s+)::\\n\\n\\\\s+(start and the end of the time period defined by\\n)\\\\s+(compare_duration and [a-z]+_time.)' in google/cloud/securitycenter_v1beta1/gapic/security_center_client.py. synthtool > Cleaned up 0 temporary directories. ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: Production Docker Image AIRFLOW_INSTALL_VERSION does not overwrite AIRFLOW_VERSION environment variable **Apache Airflow version**: 1.10.10 **What happened**: When I look at environment variables within my Airflow containers, I see `AIRFLOW_VERSION=\"2.0.0.dev0\"` **What you expected to happen**: Since I built the image with `AIRFLOW_INSTALL_VERSION=\"==1.10.10\" `, I would expect any reference to the Airflow version to reflect 1.10.10 and not 2.0.0. **How to reproduce it**: Build an image with a specific AIRFLOW_INSTALL_VERSION and then exec into it and printenv or inspect the container and you will see `AIRFLOW_VERSION=\"2.0.0.dev0\"`. It does not appear like this env var impacts anything and it is hard coded to 2.0.0.dev0 at the moment. Most likely, this variable should be replaced with the AIRFLOW_INSTALL_VERSION instead. ``` docker build . \\ --build-arg AIRFLOW_INSTALL_SOURCES=\"apache-airflow\" \\ --build-arg AIRFLOW_INSTALL_VERSION=\"==1.10.10\" ``` /label area:production-image Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: gcloud.storage.bucket.Bucket.save_default_object_acl with empty ACL doesn't clear The following test: ``` acl = acl or self.default_object_acl ``` should test for None instead: ``` if acl is None: acl = self.default_object_acl ``` This bug prevents 'clear_default_object_acl' from working (calling it just saves the existing ACL). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: When a test failures due to termination by a signal report that in the log I've been helping bring the [Korn shell](https://github.com/att/ast/) project into the 21st century. It is not unusual for a unit test to fail, with no output, due to the ksh binary dying from a signal (e.g., SIGSEGV). Meson correctly reports the test failed but the details in *meson-logs/testlog.txt* is ambiguous. It would greatly help if details about the unit test exit status were reported in the log. For example, \"Test terminated with exit status 3\" or \"Test terminated due to signal SIGSEGV\". If the test passes there is no need to report \"Test terminated with exit status 0\". Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: No sys.stdout.encoding in kernel based IPython As originally reported by @tkf in #2207. ### Kernel-based IPython ``` python % ./ipython.py console Python 2.7.2+ (default, Oct 4 2011, 20:06:09) Type \"copyright\", \"credits\" or \"license\" for more information. IPython 0.14.dev -- An enhanced Interactive Python. ? -> Introduction and overview of IPython's features. %quickref -> Quick reference. help -> Python's own help system. object? -> Details about 'object', use 'object??' for extra details. [IPKernelApp] To connect another client to this kernel, use: [IPKernelApp] --existing kernel-8616.json In [1]: import sys In [2]: sys.stdout.encoding --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in () ----> 1 sys.stdout.encoding AttributeError: 'OutStream' object has no attribute 'encoding' ``` ### Normal IPython Same in pure Python console. ``` python % ./ipython.py Python 2.7.2+ (default, Oct 4 2011, 20:06:09) Type \"copyright\", \"credits\" or \"license\" for more information. IPython 0.14.dev -- An enhanced Interactive Python. ? -> Introduction and overview of IPython's features. %quickref -> Quick reference. help -> Python's own help system. object? -> Details about 'object', use 'object??' for extra details. In [1]: import sys In [2]: sys.stdout.encoding Out[2]: 'UTF-8' ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Cannot raise a skip signal with a result I am filing an issue by suggestion of @cicdw after a conversation on gitter. I came up with the following use case: a task that raises a skip signal with a result because its logic has detected that there is no work to do and the result is already calculated somewhere. I could just return it, but it would be useful for me to know that the _heavy_ part of the task did not actually execute. An example of the use case would be: ```python from prefect import task, Flow from prefect.engine import signals @task def test_skipped(): raise signals.SKIP('skipping', result=5) f = Flow(\"test\", tasks=[test_skipped]) flow_state = f.run() ``` which fails because of how the `PrefectStateSignal` constructor handles its initialization: ``` Traceback (most recent call last): File \".../prefect/engine/signals.py\", line 27, in __init__ result=self, message=message, *args, **kwargs TypeError: type object got multiple values for keyword argument 'result' ``` Chris suggested the following workaround, which works correctly, but still pointed out that the case above should work. ```python from prefect import task, Flow from prefect.engine.runner import ENDRUN from prefect.engine.state import Skipped @task def test_skipped(): skip = Skipped(\"skipping\", result=5) raise ENDRUN(state=skip) f = Flow(\"test\", tasks=[test_skipped]) flow_state = f.run() flow_state.result[test_skipped].result # 5 ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Implement `map` for `LocalExecutor` For some reason we avoided doing this, but it's actually entirely possible to do! Would be great for local debugging. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: DOC: Bit numbering for 8 bit types Hi there, I am working with 8 bit data with varying bit numbering and was wondering how numpy supports bit numbering for those types (`int8`, `uint8`, `byte`, `ubyte`). According to the [numpy.dtype.byteorder docs](https://docs.scipy.org/doc/numpy/reference/generated/numpy.dtype.byteorder.html) \"*endian is not relevant for 8 bit numbers*\", but how is a single byte endcoded? Creating e.g. `uint8` data seems always to be encoded with the *most significant bit first*. Where is that documented? See the [example on numpy.unpackbits](https://docs.scipy.org/doc/numpy/reference/generated/numpy.unpackbits.html): ```python >>> a = np.array([[2], [7], [23]], dtype=np.uint8) >>> a array([[2], [7], [23]], dtype=uint8) >>> b = np.unpackbits(a, axis=1) >>> b array([[0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 1, 1, 1], [0, 0, 0, 1, 0, 1, 1, 1]], dtype=uint8) ``` Edit: Updated text regarding bit numbering. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: conda env export under python2 is ug ``` $ python2 -m conda_env export -p /conda name: null channels: - !!python/unicode 'file:///Users/kfranz/.conda/conda-bld' - !!python/unicode 'file:///conda/conda-bld' - !!python/unicode 'bkreider' - !!python/unicode 'conda-canary' - !!python/unicode 'conda-forge' - !!python/unicode 'defaults' dependencies: - !!python/unicode 'wget=1.15=2' - !!python/unicode 'conda=4.3.0=py27_0' - !!python/unicode 'conda-env=2.6.0=0' - !!python/unicode 'filelock=2.0.6=py27_0' - !!python/unicode 'boltons=16.3.1=py27_0' - !!python/unicode 'ca-certificates=2016.8.31=0' - !!python/unicode 'certifi=2016.8.31=py27_0' - !!python/unicode 'functools32=3.2.3.2=py27_1' ... ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Support to turn on cudnn benchmark mode Cudnn benchmark mode is [recommended for improved performance](https://discuss.pytorch.org/t/what-does-torch-backends-cudnn-benchmark-do/5936/11). It would be great to have a one-liner option to turn this on. This could be a `Trainer` constructor arg. I'm happy to do a quick PR/documentation update for this, just want to get feedback/confirmation before I do it. Only downside/complexity is [when determinism is also enabled](https://github.com/pytorch/pytorch/issues/6351). AFAICT, there's no option for determinism in Lightning, so seems like this shouldn't be a problem. Support to turn on cudnn benchmark mode Cudnn benchmark mode is [recommended for improved performance](https://discuss.pytorch.org/t/what-does-torch-backends-cudnn-benchmark-do/5936/11). It would be great to have a one-liner option to turn this on. This could be a `Trainer` constructor arg. I'm happy to do a quick PR/documentation update for this, just want to get feedback/confirmation before I do it. Only downside/complexity is [when determinism is also enabled](https://github.com/pytorch/pytorch/issues/6351). AFAICT, there's no option for determinism in Lightning, so seems like this shouldn't be a problem. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: Make sure that we have no conflicting dependencies when installing. In October 2020 PIP will start failing in case of some conflicting dependencies. We should run the latest version of PIP and make sure to use the ``--use-feature=2020-resolver`` to test the resolution of packages and fix them, Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Re-create tutorial images and deprecate `BokehRunner` In response to #606 , I'm going through all of our images and I can't help but notice that the mermaid generated images / the images generated with `flow.visualize()` look much nicer than the screenshots of `BokehRunner` images. Given the difficulty in maintaining / testing the `BokehRunner` app on top of this, I'm going to go out on a limb and vote that we deprecate the `BokehRunner` and recreate all tutorial images with mermaid and / or `flow.visualize()` (with flow state kwarg for colored states). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: __file__ is not defined when file end with .ipy I named my IPython file.ipy I propose .ipy ? objections ? I feel ipython should not be confused with plain python! ``` echo \"#!/usr/bin/env ipython\" > test.ipy echo \"print __file__\" >> test.ipy cat test.ipy #!/usr/bin/env ipython print __file__ ``` ``` chmod +x test.ipy ./test.ipy > NameError: name '__file__' is not defined ipython test.ipy > NameError: name '__file__' is not defined ## run with plain python python test.ipy > ./test.ipy SUCCESS: ## rename file to be .py seems to solve the issue mv ./test.ipy ./test.py ipython test.ipy > ./test.py SUCCESS: ./test.py > ./test.py SUCCESS: ``` Should we not trust files with different endings... I have a feeling files not ending with .py are blacklisted to prevent issues with cgi or something... not to sure.. Perhaps it has something to do with the she-bang notation..? debian kubuntu 12.10 ``` ipython -v 0.12.1 ``` Thanks Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [workspace] Adding \"conan-project\" feature, to allow simultaneous edition of connected packages Everything in user space, linking in user space. How? Redirecting packages \"rootfolder\" to local folder, not to conan cache. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: MAINT: ignore `.hypothesis/` I ran the test using `np.test()`. Then the `.hypothesis` directory was created. This seems to a byproduct of the test. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Fix segmentation example # Before submitting - [x] Was this discussed/approved via a Github issue? (no need for typos, doc improvements) - [x] Did you read the [contributor guideline](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/.github/CONTRIBUTING.md)? - [x] Did you make sure to update the docs? - [ ] Did you write any new necessary tests? ## What does this PR do? Fixes #874 (issue). ## PR review Anyone in the community is free to review the PR once the tests have passed. ## Some comments I have added a custom model (UNet) instead of the previous torchvision segmentation model as it was causing tests to fail (mostly because those torchvision models were introduced in version 0.3 and it will fail for previous versions). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the celery/celery codebase. Here's the problem: Update the links in PyPI to the new site. The [PyPI page](https://pypi.org/project/celery/) stills points to the old URLs which confuses users because those domains no longer exist and in some cases the SSL certificate is invalid. Update the links in PyPI to the new site. The [PyPI page](https://pypi.org/project/celery/) stills points to the old URLs which confuses users because those domains no longer exist and in some cases the SSL certificate is invalid. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Problems building gtk4 on windows with 'msi meson' **Describe the bug** We've got this bug report that describes a failure to build gtk4 on windows using meson from the msi installer: https://gitlab.gnome.org/GNOME/gtk/-/issues/3701 **To Reproduce** - git clone https://gitlab.gnome.org/GNOME/gtk.git - cd gtk - meson setup . ..\\gtk-build ``` Traceback (most recent call last): File \"mesonbuild\\mesonmain.py\", line 132, in run File \"mesonbuild\\mesonmain.py\", line 100, in run_runpython_command File \"runpy.py\", line 268, in run_path File \"runpy.py\", line 97, in _run_module_code File \"runpy.py\", line 87, in _run_code File \"C:\\Users\\Aleksandr\\gtk\\gdk\\gen-gdk-gresources-xml.py\", line 8, in import filecmp ModuleNotFoundError: No module named 'filecmp' ``` **Expected behavior** successful build, as with pip installed meson Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: %alias_magic to accept argument to %magic It would be great to have an ability to pass argument to `%alias_magic`. For example, `%alias_magic h history -l 30` so I can just type `h` to get 30 lines of last history. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: Path exploding on Windows due to conda init ## Current Behavior Every time I issue a conda command in powershell, the windows path gets extended with duplicate entries... eventutually becoming too long to set. **BUG FIX** Note the line below: ``` Write-Output Env:PATH is $Env:PATH; ``` It's a debug output that was never removed that's being added to the PATH and thus the system keeps adding to the PATH over and over and over... ### Steps to Reproduce Do conda init powershell and then using commmands the path keeps growing. It appears to be happening in Conda.psm1: ``` <# .SYNOPSIS Adds the entries of sys.prefix to PATH and returns the old PATH. .EXAMPLE $OldPath = Add-Sys-Prefix-To-Path #> function Add-Sys-Prefix-To-Path() { $OldPath = $Env:PATH; if ($Env:_CE_CONDA -ne '' -And $Env:OS -eq 'Windows_NT') { # Windows has a different layout for the python exe than other platforms. $sysp = Split-Path $Env:CONDA_EXE -Parent; } else { $sysp = Split-Path $Env:CONDA_EXE -Parent; $sysp = Split-Path $sysp -Parent; } if ($Env:OS -eq 'Windows_NT') { $Env:PATH = $sysp + ';' + $sysp + '\\Library\\mingw-w64\\bin;' + $sysp + '\\Library\\usr\\bin;' + $sysp + '\\Library\\bin;' + $sysp + '\\Scripts;' + $sysp + '\\bin;' + $Env:PATH; } else { $Env:PATH = $sysp + '/bin:' + $Env:PATH; } Write-Output Env:PATH is $Env:PATH; return $OldPath; } ``` ## Expected Behavior Path should not lengthen with duplicates ## Environment Information Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: PostgresToGoogleCloudStorageOperator - Custom schema mapping Version : 1.10.12 I used PostgresToGoogleCloudStorageOperator to export the data and the schema file as well. But I saw a column on Postgres was `TIMESTAMP without time zone` but in BigQuery the auto-create table (via `GoogleCloudStorageToBigQueryOperator`) used the JSON schema file and created the table. When I checked the BQ table the data type was `TIMESTAMP`. For without timezone data, **`DATETIME`** would be the right choice. So can we manually MAP the data types during the schema file export? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: logout and control panel on Jupyter 3.0.0 and JupyterHub 1.3.0 ### Problem On \"file\" menu, \"logout\" and \"control panel\" links no longer exist (?). ### Proposed Solution Add \"logout\" and \"control panel\" on JupyterLab interface. ### Additional context I'm on Jupyter 3.0.0 and JupyterHub 1.3.0, with oauthenticator.generic.GenericOAuthenticator. I note on Classic Notebook, this features exist. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: CMake generator is not optional on Windows Create a CMake object in the conanfile.py with the following settings: - os_build = Windows - compiler = a custom compiler - compiler_version = some version - arch = None will always raise the following error: cmake = CMake(self) TypeError: argument of type 'NoneType' is not iterable Looks like `get_generator` in cmake_flags.py returns None because of the missing `arch`. The same would happen without a compiler or compiler_version. Later the empty generator is passed to `is_multi_configuration` where the error is raised. I would expect `get_generator` to return the default `MinGW Makefiles` in this case. Or maybe just print a more helpful error message about the missing arch or generator. Conan version 1.11.2 - [ x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x ] I've specified the Conan version, operating system version and any tool that can be relevant. - [x ] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: intro-install-plan.json does not match with intro-installed.json **Describe the bug** The files listed in the intro-install-plan.json do not match with the files installed (listed in intro-installed.json). This causes problems for meson-python, which uses intro-install-plan.json to find installed files. In particular, on Windows, when building in release mode, pdb files will be listed in the install-plan but not installed, with a message like ``` File 'pandas\\\\_libs\\\\window\\\\indexers.cp38-win_amd64.pdb' not found, skipping ``` In addition, folders installed with install_subdir are not listed in the install-plan. **To Reproduce** Please include your `meson.build` files, preferably as a minimal toy example showing the issue. You may need to create simple source code files (don't include private/proprietary code). I found this problem while trying to port pandas to meson. Here is the code to reproduce. ``` git clone https://github.com/lithomas1/pandas.git@meson-poc cd pandas python -m build ``` It should be reproducible without pandas, though. I'll try to make a MRE when I have some time. **Expected behavior** A clear and concise description of what you expected to happen. files listed in intro-install-plan should match files in intro-installed. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? native * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.) Windows * what Python version are you using e.g. 3.8.0 * what `meson --version` 0.63.0 * what `ninja --version` if it's a Ninja build Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] `cmake_find_mode` property is broken **Abstract description of the problem:** In a conan-generated config/module, decision about `MODULE` or `NO_MODULE` in `find_dependency` call is made by `cmake_find_mode` of dependant package, but not by `cmake_find_mode` of dependency (as it should be). It can be seen in the code [here](https://github.com/conan-io/conan/blob/8c389f5add13f931e06a8335396cce23b65a1d40/conan/tools/cmake/cmakedeps/templates/config.py#L66-L70) (`is_module` is the property (based on `cmake_find_mode`) of the current package (not of the dependency)). **Example:** Let we have packages A -> B -> C, with the following `cmake_find_mode` A: \"config\", B: \"config\", C: \"module\". During the build of \"A\" conan generate `BConfig.cmake` with `find_dependency(C NO_MODULE)` (`NO_MODULE` because `B.cmake_find_mode == \"config\"`). But this `find_dependency` will fail, because `conan` generate `FindC.cmake` (not `CConfig.cmake`). **Specific instance of this problem:** In the case of `boost/system` decribed in #8919 `conan` will fail to find `Boost` (from conan-generated `find_dependency(Boost NO_MODULE)`) on systems without system `BoostConfig.cmake` (e.g. [Fedora](https://src.fedoraproject.org/rpms/boost/blob/rawhide/f/boost.spec#_900)) **Suggestion:** It will be great if `conan` consider `cmake_find_mode` of _dependency_ in choosing between `MODULE` and `NO_MODULE` for`find_dependency` call. Or even consider not using `MODULE/NO_MODULE` options in `find_dependecy` at all. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: inspect.findsource monkeypatch raises wrong exception for C extensions In the following examples, `_yaml` is just a convenient way to specify a C extension that is already in the stdlib. ``` $ python -c 'import inspect, _yaml; print(inspect.findsource(_yaml))' Traceback (most recent call last): File \"\", line 1, in File \"/usr/lib/python3.4/inspect.py\", line 658, in findsource raise OSError('source code not available') OSError: source code not available $ python -c 'import inspect, IPython, _yaml; print(inspect.findsource(_yaml))' <... traceback omitted ...> SyntaxError: invalid or missing encoding declaration for '/usr/lib/python3.4/site-packages/_yaml.cpython-34m.so' ``` Why is this important? There are now some packages (e.g. astropy) that unconditionally import IPython when they are themselves imported. So, now, if I have my own package which imports astropy (or just IPython, in fact), and also contains some C extension (say `mypackage/foo.so`), then trying to run pydoc on another module in my package that uses the C extension (`pydoc mypackage.bar`, where `bar` imports `foo`) crashes with the uncaught SyntaxError, as (I guess) pydoc only catches an OSError but no SyntaxError when calling `findsource`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Depreciation warning in state_visualization.py ### What is the expected enhancement? /Users/paul/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.9.0-py3.7-macosx-10.7-x86_64.egg/qiskit/visualization/state_visualization.py:731: MatplotlibDeprecationWarning: The mod function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.linalg.norm instead. for n in normals]) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: i18n: gettextname-pot target requires po/POTFILES in source directory In an autotools setup you usually have `po/POTFILES.in` from which `po/POTFILES` is created at configure time. Why I'm not sure, I've never seen anything in a POTFILES.in that looked like it would be substituted. Maybe it's for the timestamp, who knows. In any case, `ninja gettextname-pot` currently has `po/POTFILES` hard-coded and looks for it in the source directory. That is suboptimal for projects who want to have meson and autotools build in parallel. Possible solutions: - add option to `i18n.gettext()` to pass the name of the `POTFILES` files (then we could just use the `POTFILES.in` from the source dir; optionally support a configure_file() too - look for `$topsrcdir/po/POTFILES.in` automatically if `$topsrcdir/po/POTFILES` does not exist. - anything else? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: Undefined names: 'vals', '_scatter', and 'rescatter' [flake8](http://flake8.pycqa.org) testing of https://github.com/google/jax on Python 3.7.1 $ __flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --statistics__ ``` ./jax/interpreters/parallel.py:249:38: F821 undefined name 'vals' return call_primitive.bind(f, *vals, **params) ^ ./jax/interpreters/parallel.py:372:10: F821 undefined name '_scatter' return _scatter(source, target, target_axis, name) ^ ./jax/interpreters/parallel.py:422:9: F821 undefined name 'rescatter' x = rescatter(x, ydim, name) ^ 3 F821 undefined name 'vals' 3 ``` __E901,E999,F821,F822,F823__ are the \"_showstopper_\" [flake8](http://flake8.pycqa.org) issues that can halt the runtime with a SyntaxError, NameError, etc. These 5 are different from most other flake8 issues which are merely \"style violations\" -- useful for readability but they do not effect runtime safety. * F821: undefined name `name` * F822: undefined name `name` in `__all__` * F823: local variable name referenced before assignment * E901: SyntaxError or IndentationError * E999: SyntaxError -- failed to compile a file into an Abstract Syntax Tree Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: remove instances of RuntimeError and CondaRuntimeError epitome of tech debt Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Cloud PR references Core See https://github.com/PrefectHQ/cloud/pull/266 for more details Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: package dir not cleaned when using conan create with -kb When doing `conan create ... --keep-build`, the expectation is that the build directory will be left intact since the previous run, and the `package()` method will simply be re-run over that directory. That is happening successfully. However, when running `conan create... ` without `--keep-build` flag, the `package()` method always begins with a clean package directory as a destination for obvious reasons. Conan implicitly clears the directory before running the `package()` method. This \"clearing\" step is not currently happening when `--keep-build` flag is used. It's easy to imagine how this detail was missed when `--keep-build` was implemented. Hopefully an easy fix. - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: einsum crash on bool dtype In colab, ```python import jax, jax.numpy as jp x = jp.array(np.ones((3, 3), dtype=bool)) print(jp.einsum(\"ij->i\", x)) ``` results in > RuntimeError: Invalid argument: Expected element type in shape to be arithmetic type for operation add; got PRED.: > This is a bug in JAX's shape-checking rules; please report it! > https://github.com/google/jax/issues Note that in numpy, `einsum` on `bool` dtypes does a logical OR reduction (\"einany\") rather than summation. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: config does not catch missing links When a compose file describes a service _A_ that `links` to a service _B_ which is not described, the `up` command fails, yet the `config` command raises no concerns. In the absence of a better command, `config` might be expected to reveal such problems ahead of the user invoking any further compose commands preventing possible downtime. config does not catch missing links When a compose file describes a service _A_ that `links` to a service _B_ which is not described, the `up` command fails, yet the `config` command raises no concerns. In the absence of a better command, `config` might be expected to reveal such problems ahead of the user invoking any further compose commands preventing possible downtime. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Asynchrous issue when using clear_display and print x,y,z A minor issue ``` python from IPython.core.display import clear_output import time class xxx: def __init__(self,color): self.color = color def _repr_html_(self): return 'woot '%self.color for i in range(10): x = xxx(['red','green','blue'][(i%3)]) print 1,2,3 clear_output(stdout=False, stderr=False, other=True) display(x) time.sleep(2) ``` This produce a funny looking output like 1 2 3 1 2 3 1 . . . Which the raw html is ``` html 1 2 3 1 ``` then ``` html 2 3 1 ``` While ``` python print 1, print 2, print 3, ``` works just fine. It also works fine if I remove sleep function. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: [BART] test_generate_fp16 fails after PR#3140 passes after `git checkout d6de6423` (commit preceding #3140) Traceback: ``` unfinished_sents.mul_((~eos_in_sents).long()) # stop when there is a in each sentence, or if we exceed the maximul length > if unfinished_sents.max() == 0: E RuntimeError: cuda runtime error (716) : misaligned address at /pytorch/aten/src/THC/THCReduceAll.cuh:327 src/transformers/modeling_utils.py:992: RuntimeError ``` @thomwolf @patrickvonplaten Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: 'conda env export' doesn't include pip-installed packages New in conda 4.4. Seems to be a problem only if pip is older than version 9. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Too many files open when starting and stopping kernel repeatedly The following code: ``` from IPython.kernel import KernelManager for i in range(1000): km = KernelManager() km.start_kernel(extra_arguments=['--pylab=inline']) kc = km.client() kc.start_channels() kc.stop_channels() km.shutdown_kernel(now=True) ``` causes the following exception after ~27 iterations: ``` Traceback (most recent call last): File \"test_ipython.py\", line 6, in File \"/Users/tom/Library/Python/2.7/lib/python/site-packages/IPython/kernel/manager.py\", line 202, in start_kernel File \"/Users/tom/Library/Python/2.7/lib/python/site-packages/IPython/kernel/connect.py\", line 481, in write_connection_file File \"/Users/tom/Library/Python/2.7/lib/python/site-packages/IPython/kernel/connect.py\", line 110, in write_connection_file File \"/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/socket.py\", line 187, in __init__ socket.error: [Errno 24] Too many open files ``` It looks like some file handles are not getting closed? I had a look and didn't see anything obvious. This is relevant for e.g. [runipy](https://github.com/paulgb/runipy) because it starts and stops the kernel each time a different notebook is run. (also, the error occurs even if I set `now=False`). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: [Firestore] FirestoreClient.list_collections() is missing, but is in DocumentReference. FirestoreClient.list_collections() is missing, but it does exist as part of DocumentReference. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Add a basic logger which does not require ports ## 🚀 Feature It would be great to have a basic logger that does not require opening ports. ### Motivation At this time, all loggers supported by Lightning requires to use ports. There are some environments where I don't have total control and I cannot open ports. It would be great to implement a logger that could dump the metrics during training, and easily visualize their evolution, without the need to forward a port. ### Pitch As proposed by @justusschock in the slack channel, one could add a basic logger `FileLogger` that saves metrics into a file (like json) and plots them on a regular basis. Thank you for the great package ! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: mapping ctrl-L to something else other then clear-screen doesn't work in readline file ~/.inputrc environtment: OS: ubuntu14.04 python: 2.7.6 and 3.4.1 ipython: 2.1.0 i put these settings to the readline file ~/.inputrc, what i want to do is to use `ctrl-L/H` to move forward/backward a char when i am editing command line in `ipython` interpreter. ``` bash $if python \"\\C-l\": forward-char \"\\C-h\": backward-char $endif ``` `ctrl-H` do works fine and it is able to move backward a char, whereas `ctrl-L` doesn't work, it clear screen as its default action. this issue only occurs on `ipython` interpreter. if i am runing `python` on terminal, it works fine. `ctrl-H/L` are able to move backward/forward a char in `python` interpreter.. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: Inconsistent 'owner' field in examples Dear Airflow Maintainers, ### Environment - Version of Airflow (e.g. a release version, running your own fork, running off master -- provide a git log snippet): **1.7.0** - Screen shots of your DAG's graph and tree views:  - Operating System: (Windows Version or `$ uname -a`) **Ubuntu 14.04** - Python Version: `$ python --version` **2.7** ### Description of Issue - What did you expect to happen? **All of the examples have a consistent owner, probably 'airflow'** - What happened instead? **[Some](https://github.com/airbnb/airflow/blob/master/airflow/example_dags/example_python_operator.py) examples have `airflow`, [some](https://github.com/airbnb/airflow/blob/master/airflow/example_dags/example_passing_params_via_test_command.py) have `me`** ### Reproduction Steps 1. install airflow 1.7.0 via pip 2. start the webserver 3. look at the web UI, probably http://localhost:8080 **Inconsistent hard-coding in the examples will likely lead to confusion for new users.** Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: Task failing with error \"missing upstream values\" when running a dag with dynamic task group mapping ### Apache Airflow version main (development) ### What happened Task failing with error \"missing upstream values\" when running a dag with dynamic task group mapping error - ``` [2022-11-23, 15:50:07 UTC] {abstractoperator.py:456} ERROR - Cannot expand for run manual__2022-11-23T15:49:59.771915+00:00; missing upstream values: ['x'] ``` ### What you think should happen instead It should succeed ### How to reproduce Run the below dag code ``` from airflow import DAG from airflow.models.taskinstance import TaskInstance from airflow.operators.dummy import DummyOperator from datetime import datetime, timedelta from airflow.decorators import task, task_group with DAG( dag_id=\"taskmap_taskgroup\", tags=[\"AIP_42\"], start_date=datetime(1970, 1, 1), schedule_interval=None, ) as dag: @task def onetwothree(): return [1,2,3] @task def hello_there(arg): print(arg) @task_group def increment_and_verify(x): hello_there(x) increment_and_verify.expand(x=onetwothree())>>DummyOperator(task_id=\"done\") ``` ### Operating System mac os ### Versions of Apache Airflow Providers _No response_ ### Deployment Virtualenv installation ### Deployment details _No response_ ### Anything else _No response_ ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: option to disable \"lots of circles\" in error page **Description** The \"lots of circles\" error page is very rough via Remote Desktop connections. In the current global pandemic many people are working remotely via already constrained connections. Needless redraws caused by the highly animated circles can cause frustrating slowdowns and sometimes lost connections. **Use case / motivation** It should be trivially simple to disable the animated portion of the error page and instead use a standard error page. Ideally this would be something easily achievable via configuration options and exposed in the Helm chart. **Related Issues** N/A Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Support querying by ancestor key in gcloud.datastore Ideal syntax: ``` python query = dataset.query().ancestor(key) print query.fetch() ``` or ``` python query = dataset.query().ancestor(['Kind', 'parent', 'Kind', 'child']) print query.fetch() ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Update __qiskit_version__ ### What should we add? We are moving towards qiskit=qiskit-terra and many subpackages have been removed from the metapackage (aqua, ignis, ibmq-provider and soon aer). What are going to do with the version string `__qiskit_version__` and the handy `%qiskit_version_table` jupyter magic command (which just display the information of `__qiskit_version__`? There a few cases: 1. Deprecated packages (for example, aqua, ignis, ibmq-provider). 1. Packages: `aqua`, `ignis`, `ibmq-provider` 2. Suggestion: Remove them 3. New packages that replaced the deprecated packages: 1. Packages `nature`, `optimization`, `finance`, `machine-learning`, `experiments`, `ibm-provider`, `ibm-runtime`, `ibm-experiment`. 2. Currently we include aqua's replacement the application modules, but not ignis' replacement qiskit-experiments, and ibmq-provider's replacements qiskit-ibm-provider, qiskit-ibm-runtime, qiskit-ibm-experiment 3. Suggestion: add the replacements packages. 5. Other ibm developed qiskit packages that were not replacement of old \"element\" sub packages. 1. Packages: `dynamics`, `metal` 1. Suggestion: I am not sure. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: Error installing ipython When trying to `conda install anaconda` on a Windows NanoServer container I continually get the below error when it tries to install ipython: ``` ERROR conda.core.link:_execute_actions(330): An error occurred while installing package 'defaults::ipython-5.1.0-py36_0'. PathNotFoundException() Attempting to roll back. PathNotFoundException() ``` This error causes the build of the container to fail (anaconda doesn't get installed). Is there anyway to debug the problem? `conda 4.3.13 py36_0` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Remove pubsub and logging as namespace packages This should be assigned to @bjwatson but I can't assign to him in this repo. Blocking on having the GAX generated Pub / Sub and Logging clients no longer use `google.cloud.logging` and `google.cloud.pubsub` as namespace packages. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Dependency found but it isn't a library For libraries declared with `staticLibrary`, `sourceLibrary` or `dynamicLibrary` in a `dub` package, meson will return this: ``` ... Dependency gtkd-3 found: YES 3.8.5 Found DUB: /usr/bin/dub (DUB version 1.13.0, built on Jan 05 2019) ERROR: riverd-lua found but it isn't a library Dependency riverd-lua found: NO meson.build:19:0: ERROR: Dependency \"riverd-lua\" not found ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: [DO NOT MERGE] Logging: autosynth failed to run blacken. This PR was generated using Autosynth. :rainbow: Here's the log from Synthtool: ``` synthtool > Executing /tmpfs/src/git/autosynth/working_repo/logging/synth.py. synthtool > Ensuring dependencies. synthtool > Pulling artman image. latest: Pulling from googleapis/artman Digest: sha256:8b45fae963557c3299921037ecbb86f0689f41b1b4aea73408ebc50562cb2857 Status: Image is up to date for googleapis/artman:latest synthtool > Cloning googleapis. synthtool > Running generator for google/logging/artman_logging.yaml. synthtool > Generated code into /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/logging-v2. synthtool > Replaced '(^.*$\\\\n)*' in google/cloud/logging_v2/proto/logging_config_pb2.py. synthtool > Replaced '(^.*$\\\\n)*' in google/cloud/logging_v2/proto/logging_metrics_pb2.py. synthtool > Replaced '(^.*$\\\\n)*' in google/cloud/logging_v2/proto/log_entry_pb2.py. synthtool > Replaced '(^.*$\\\\n)*' in google/cloud/logging_v2/proto/logging_pb2.py. .coveragerc .flake8 MANIFEST.in noxfile.py.j2 setup.cfg Running session blacken Session blacken skipped: Python interpreter 3.7 not found. synthtool > Cleaned up 2 temporary directories. synthtool > Wrote metadata to synth.metadata. ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: AdvancedProfiler error Hi, as others have pointed out, the Profiler doesn't seem to work (it prints nothing), and trying out the AdvancedProfiler as in https://pytorch-lightning.readthedocs.io/en/latest/profiler.html like: ``` from pytorch_lightning.profiler import AdvancedProfiler profiler = AdvancedProfiler(output_filename=\"prof.txt\") trainer = Trainer(profiler=profiler, (other params here) ``` gives me the following error: ``` Validation sanity check: 50it [00:00, 212.11it/s] Traceback (most recent call last): File \"/Users/sdumitre/work/style/training.py\", line 177, in main(hparams) File \"/Users/sdumitre/work/style/training.py\", line 77, in main trainer.fit(model) File \"/Users/sdumitre/virtual/p3/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py\", line 630, in fit self.run_pretrain_routine(model) File \"/Users/sdumitre/virtual/p3/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py\", line 810, in run_pretrain_routine _, _, _, callback_metrics, _ = self.process_output(eval_results) File \"/Users/sdumitre/virtual/p3/lib/python3.7/site-packages/pytorch_lightning/trainer/logging.py\", line 117, in process_output callback_metrics[k] = v.item() ValueError: only one element tensors can be converted to Python scalars Process finished with exit code 1 ``` Any pointers? My env: torch 1.4 installed with pip, Python 3.7, no GPU, on, MacOS. Thanks for the great lib you're developing! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: splitdrive import issue on docker-compose==1.16.0 Using `Python 2.7.5` with `docker-compose==1.16.0` through `pip install --upgrade docker-compose==1.16.0` ``` Python 2.7.5 (default, Nov 20 2015, 02:00:19) [GCC 4.8.5 20150623 (Red Hat 4.8.5-4)] on linux2 Type \"help\", \"copyright\", \"credits\" or \"license\" for more information. >>> from compose.utils import splitdrive Traceback (most recent call last): File \"\", line 1, in File \"/usr/lib/python2.7/site-packages/compose/utils.py\", line 15, in from .config.errors import ConfigurationError File \"/usr/lib/python2.7/site-packages/compose/config/__init__.py\", line 6, in from .config import ConfigurationError File \"/usr/lib/python2.7/site-packages/compose/config/config.py\", line 15, in from . import types File \"/usr/lib/python2.7/site-packages/compose/config/types.py\", line 17, in from compose.utils import splitdrive ``` Whereas using `docker-compose==1.15.0` through `pip install --upgrade docker-compose==1.15.0` **(tested using `docker-compose==1.15.0` and `docker-compose==1.14.0` both are working)** ``` Python 2.7.5 (default, Nov 20 2015, 02:00:19) [GCC 4.8.5 20150623 (Red Hat 4.8.5-4)] on linux2 Type \"help\", \"copyright\", \"credits\" or \"license\" for more information. >>> from compose.utils import splitdrive >>> ``` --- PS: I'm not using `docker-compose` python by myself, but it used by [_Ansible_](https://github.com/ansible/ansible) [docker-service module](http://docs.ansible.com/ansible/latest/docker_service_module.html) and with `docker-compose==1.16.0` I got that message ``` \"msg\": \"Unable to load docker-compose. Try `pip install docker-compose`. Error: cannot import name splitdrive\" ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: Issue taking gradients through np.where when one of branches is nan. If you take gradients through np.where and one of the branches is nan, the gradient will be nan even if the branch is not taken. Here's a repro: ``` def test_fail(x): x = np.sqrt(np.sum(x ** 2, axis=1)) ones = np.ones_like(x) x = np.where(x > 0.5, x, ones) return np.sum(x) def test_succeed(x): x = np.sum(x ** 2, axis=1) ones = np.ones_like(x) x = np.sqrt(np.where(x > 0.5, x, ones)) return np.sum(x) x = np.array([[1, 2], [3, 4], [0, 0]], dtype=np.float64) print('Test np.sqrt then np.where = {}'.format(test_fail(x))) print('Gradient:') print(grad(test_fail)(x)) print('Test np.where then np.sqrt = {}'.format(test_succeed(x))) print('Gradient:') print(grad(test_succeed)(x)) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: post_package hook corrupts packages As it is done after the manifest is created, examples like the one in the docs: ```python import os from conans import tools SIGNATURE = \"this is my signature\" def post_package(output, conanfile, conanfile_path, **kwargs): sign_path = os.path.join(conanfile.package_folder, \".sign\") tools.save(sign_path, SIGNATURE) output.success(\"Package signed successfully\") ``` Will break the manifest, and ``conan upload --check`` will reject the package as corrupted Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Allow custom apps to reuse build system I've recently been experimenting with creating a custom lab app (https://github/com/vidartf/phoila). Mostly, I found the system to be configurable (some bits more easily than others), but the one bit I ended up having to monkey patch was [`_get_core_data`](https://github.com/jupyterlab/jupyterlab/blob/1365152c1da22b47920b6b3838e539590a300c83/jupyterlab/commands.py#L1731-L1735). This function supplies the core configuration of the build, but is an internal function that is impossible to configure (it uses a hard-coded local path). Would there be any disagreement to making this path configurable? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Supporting singledispatchmethod ### What should we add? Currently we cannot use the method dispatch mechanism in Qiskit because `functuools.singledispatchmethod` is available in python 3.8+. I often prefer to use method dispatch to make code readable (rather than writing long if-clause), but EOL of python 3.7 is 2023-06-27. Alternatively we can add this package to dependency. https://pypi.org/project/singledispatchmethod/ I'm not sure if adding more dependency makes sense since we can still write reasonable code without dispatch mechanism. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: Add pip shadow packages into PrefixData Epic at #7053 Teach PrefixData to recognize when python is installed in an environment, and then scan site-packages to find packages that don't have metadata in conda-meta. Also replace `conda/egg_info.py` and how it influences `conda list`. Add pip shadow packages into PrefixData Epic at #7053 Teach PrefixData to recognize when python is installed in an environment, and then scan site-packages to find packages that don't have metadata in conda-meta. Also replace `conda/egg_info.py` and how it influences `conda list`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: make pmap compilation cache \"act globally\" with no axis name Both the `jit` and `pmap` compilation caches are global. The `jit` cache acts that way: ```python from jax import jit def f(x): print(\"miss\") return x jit(f)(3) # prints jit(f)(3) # doesn't print, i.e. cache hit ``` But the `pmap` one seems not to when you don't provide a name for the axis: ```python from jax import pmap from jax.lib import xla_bridge as xb import jax.numpy as np def f(x): print(\"miss\") return x x = np.ones(xb.device_count()) pmap(f)(x) # prints pmap(f)(x) # prints pmap(f, axis_name='i')(x) # prints pmap(f, axis_name='i')(x) # doesn't print ``` The issue is that when an axis name isn't provided, we create a dummy one, and we create a new one each time we evaluate `pmap(f)` to produce a new pmapped version of `f`. We should probably remedy that, since patterns like ```python for i in range(100): x = pmap(update)(x) ``` are handy, but they're currently a foot-gun with respect to compilation caching. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: pexpect version requirement Hello. I found that when I install ipython for python3.7 with `pexpect` of version `4.2.1`, ipython crashed with an syntax error, it is because `pexpect` of this version named an parameter with `async`, which becomes a reverved keyword since python3.7. I sugggest that `pexpect` version must be specified to be compatible with python3.7 or above. Thanks. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Deploy generator clobbers file permissions, including executable bit Deploying a binary file from a package using the deploy generator will discard executable bits, making any executables shipped with the package unusable out of the box. Example using ninja: ```sh $ conan install ninja_installer/1.9.0@bincrafters/stable -g deploy Configuration: [settings] arch=x86_64 arch_build=x86_64 build_type=Release compiler=gcc compiler.libcxx=libstdc++ compiler.version=7 os=Linux os_build=Linux [options] [build_requires] [env] Installing package: ninja_installer/1.9.0@bincrafters/stable Requirements ninja_installer/1.9.0@bincrafters/stable from 'conan-center' - Cache Packages ninja_installer/1.9.0@bincrafters/stable:44fcf6b9a7fb86b2586303e3db40189d3b511830 - Cache ninja_installer/1.9.0@bincrafters/stable: Already installed! Generator deploy created deploy_manifest.txt Generator txt created conanbuildinfo.txt ``` Output files are not executable: ```sh $ ls -l ninja_installer/bin total 4372 -rw-rw-r-- 1 me me 4473408 May 13 17:58 ninja ``` This is probably due to `shutils`: https://github.com/conan-io/conan/blob/a21899a3cded38650cf5c83d3177d1cdd5665114/conans/client/generators/deploy.py#L45 - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Include executable notebooks with all tutorials Each tutorial should include a downloadable IPython notebook for executing all of the tutorial code Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: num_qubits() for DictStateFn is inefficient To get the number of qubits, a list of all keys in the dictionary is constructed. But, only the length of the first key is used. Constructing the entire list is wasteful. https://github.com/Qiskit/qiskit-terra/blob/c3b2d7acb80fa89043e6f38efb501275ec296616/qiskit/opflow/state_fns/dict_state_fn.py#L82 This code should work: ```python len(next(iter(self.primitive))) ``` `%timeit` shows that the latter is faster even when the dict contains only two keys. - **Qiskit Terra version**: 123d829ac, Feb 3 master Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: return outside of function does not cause syntax error For example, this succeeds if executed in a cell: ```python def f(): pass return 5 ``` Matthias Bussonnier mentioned there had been similar issues with break and continue: https://groups.google.com/forum/#!topic/jupyter/EpJWG3rPK90 He suggested the issue might be somewhere here: https://github.com/ipython/ipython/blob/master/IPython/core/async_helpers.py#L94-L118 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Cannot += the same circuit twice ### Information - **Qiskit Terra version**: 0.12.0 - **Python version**: 3.7.5 - **Operating system**: macOS Catalina 10.15.2 ### What is the current behavior? The snippet ``` qc = QuantumCircuit(1) qc2 = qc qc2 += qc ``` never terminates. This problem doesn't occur if different circuit instances are added together, only as soon as the same one is added twice the code seems to be stuck. ### Steps to reproduce the problem Run the above code snippet. ### What is the expected behavior? The circuit `qc` should be appended twice to `qc2`. ### Suggested solutions When calling `_append` the circuit data, `rhs.data`, of the added object is appended to self. Since the elements of `rhs.data` are taken via reference and the circuit was added beforehand, not only `self` is extended by the instructions but also `rhs`. This can be fixed by changing ``` for instruction_context in rhs.data: # line 339 ``` to ``` for instruction_context in rhs.data.copy(): ``` I would self-assign to this issue, but I cannot. I'll open a PR for this. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: `cmake_find_package_multi` might need also CMAKE_MODULE_PATH `cmake_flags.py` line 329, add also `CMAKE_MODULE_PATH` when using that generator. Looks like the `find_dependency` needs it. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: IPython 3.0 breaks compatibility with emacs-ipython-notebook Some more details in millejoh/emacs-ipython-notebook#4, but essentially emacs-ipython-notebook currently supports the REST protocol described in IPEP 16 and not IPEP 27. My primary concern is in supporting both IPython 2.0 and 3.0 as 3.0 adoption probably won't be instantaneous. Is there a cross-version API for querying the version of IPython notebook? I am probably missing something obvious. Any other suggestions on how to support two different REST APIs (actually three, but I'm not planning on supporting IPython versions earlier than 2.0) in emacs-ipython-notebook greatly welcomed. Also please permit me some old man grumbling for a moment - you guys are going to stick with the API specified in IPEP27 from now on, right? Or at least try in the future to make sure any changes are backwards-compatible? Chasing API's is certainly helping me learn a fair amount about IPython and ein, but it isn't exactly the most productive use of time. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: handle too old wx the wx gui integration does not seem to work with wx 2.6 see this bug: https://bugs.launchpad.net/bugs/998716 the version should be checked and error should be displayed, currently it spams the terminal with exceptions Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Wrong results for GLUE task STS-B ## Environment info - `transformers` version: 4.6.0.dev0 - Platform: Linux-4.13.0-26-generic-x86_64-with-glibc2.10 - Python version: 3.8.8 - PyTorch version (GPU?): 1.8.1 (True) - Tensorflow version (GPU?): not installed (NA) - Using GPU in script?: True - Using distributed or parallel set-up in script?: False ### Who can help @sgugger, @patil-suraj ## Information Model I am using (Bert, XLNet ...): bert-base-cased The problem arises when using: * [ ] the official example scripts: examples/pytorch/text-classification/run_glue.py The tasks I am working on is: * [ ] an official GLUE/SQUaD task: STS-B ## To reproduce export TASK_NAME=stsb python run_glue.py \\ --model_name_or_path bert-base-cased \\ --task_name $TASK_NAME \\ --do_train \\ --do_eval \\ --max_seq_length 128 \\ --per_device_train_batch_size 32 \\ --learning_rate 2e-5 \\ --num_train_epochs 3 \\ --output_dir /tmp/$TASK_NAME/ ## Expected behavior According to README, Person/Spearman corr. should be close to 88.64/88.48 However, I get Person/Spearman corr. equal to 28.36/27.70 The following warning occurs: python3.8/site-packages/torch/nn/modules/loss.py:528: UserWarning: Using a target size (torch.Size([32])) that is different to the input size (torch.Size([32, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. return F.mse_loss(input, target, reduction=self.reduction) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: order not preserved when downloading ORDER BY query results to dataframe with BQ Storage API Since data is downloaded in parallel, order might not be preserved. I believe if you explicitly request only a single stream, order is preserved. (Internal bug 130887748 to confirm this). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Re-generate library using dlp/synth.py This PR was created by autosynth. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: install_subdir should have an option to install contents of the directory ## Feature request It would be nice to have an option to strip subdirectory name and install only its contents. ## Use case Imagine you have a project ``` include/ project/ header.hpp meson.build ``` And you want to install all headers from `include` subdirectory in `meson.build`: ``` install_subdir('include', install_dir : get_option('includedir')) ``` which currently results in `/usr/include/include/project/header.hpp`. This can be of course worked around by not specifying install_dir but this is not reliable if `get_option('includedir') != 'include'`. Another workaround is to put meson.build into include directory but this will require modification of other build systems used for the same project if they simply copy contents of the directory: you don't want to install `meson.build` to `/usr/include`. ## Interface proposal Feature I would expect is something similar to ``` install_subdir('include', install_dir : get_option('includedir'), strip_dirname : true) install_subdir('include', install_dir : get_option('includedir'), install_contents : true) ``` ## Example of similar feature from CMake If you have 2 files: `['foo/a', 'foo/b']` ``` install(DIRECTORY foo DESTINATION bar) # results in ['bar/foo/a', 'bar/foo/b'] install(DIRECTORY foo/ DESTINATION bar) # results in ['bar/a', 'bar/b'] ``` CMake uses trailing `/` to decide if it installs directory itself or its contents. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Align current `BaseJob` API with the specification This is the list of actions needed to align the specification with the current implementation. Method name | Current implementation | Action | ----------- | -----------------------|--------| status | present | done | missing | remove from spec (https://github.com/Qiskit/qiskit-terra/issues/933#issuecomment-424318972) running | missing | remove from spec cancelled | missing | remove from spec job_id | missing | add backend | missing | add cancel | present | result | present | id | present | deprecate backend_name | present | deprecate Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: remote tracebacks broken since 952d0d6 (PR #2223) since 952d0d68d22860bf55fca35c1573a77a4455a7ed PR #2223 broke remote tracebacks: ``` from IPython.parallel import Client c = Client() dv = c[:] dv.execute(\"from nump import *\").get() ``` outputs \"No traceback available\" instead of the tracebacks this affects HEAD and the 0.13.1 branch Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: --no-color does not disable colors on ERROR and WARNING logs `docker-compose up -d --no-color` still displays ERROR messages with the word \"ERROR\" in red and the word \"WARNING\" in yellow. It would also be nice if compose respected the `CLICOLOR=0` env variable as a synonym for `--no-color`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Pulse schedule filtering methods ### What is the expected enhancement? There should exist a set of methods to search through and filter a pulse schedule by certain characteristics such as `channels`, `intervals`, and instruction types and return a new pulse schedule containing only the filtered schedules. Any idea for how this might be implemented is a generic private filter method `schedule._filter(*filter_funcs)` that takes a set of filter functions (its also possible that `_instructions` could be augmented with this capability as well). This method would then traverse the tree of schedules/instructions and only return valid entries. Finally, a public filtering method could be exposed with often used builtins such as `schedule.filter(*filter_funcs, channels=None, instructions=None, Intervals=None)` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the celery/celery codebase. Here's the problem: celery worker command option -A is not working with version 5.0.0 Hi, I am running celery worker command as follows:- pipenv run celery worker -A -l info on windows OS. I checked the version of celery module installed in python. It says 5.0.0. #Python interpreter import celery celery.__version__ '5.0.0' So the error is as follows:- Usage: celery worker [OPTIONS] Try 'celery worker --help' for help. Error: no such option: -A I checked the documentation of celery version 5.0.0, and it still has the option -A. https://docs.celeryproject.org/en/latest/reference/cli.html So let me know if this is limitation with windows or if this is a bug. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Error in RAG finetuning script ## Environment info ut the missing fields in that output! --> - `transformers` version: 3.4.0 - Platform: Linux-4.18.0-147.5.1.el8_1.x86_64-x86_64-with-centos-8.1.1911-Core - Python version: 3.6.8 - PyTorch version (GPU?): 1.7.0 (True) - Tensorflow version (GPU?): not installed (NA) - Using GPU in script?: - Using distributed or parallel set-up in script?: ### Who can help @patrickvonplaten, @lhoestq ## Information I am using RAG fine-tuning script. During the fine-tuning process, it says **torch.nn.modules.module.ModuleAttributeError: 'GenerativeQAModule' object has no attribute 'opt'** The bug exactly appears in [line 332 in finetune.py (https://github.com/huggingface/transformers/blob/master/examples/rag/finetune.py#L332) ## To reproduce I have installed the transformers library from the source. Not the pip. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Notebook tooltip has extra newlines. Make in less useful as it looses precious space with information. Proably due the the mimebundle refactor. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the explosion/spaCy codebase. Here's the problem: Initialization in text In `evaluate `method from https://github.com/explosion/spacy/blob/master/examples/training/train_textcat.py tp, fp, fn, and tn (true positives etc) are initialized to 1e-8 (see below) ``` tp = 1e-8 # True positives fp = 1e-8 # False positives fn = 1e-8 # False negative tn = 1e-8 # True negatives ``` Why are the values not initlaized to 0? When there are no true positives the precision is 0.5, That doesn't seem right. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: [examples] add desc to `dataset.map` to improve tqdm bars https://github.com/huggingface/datasets/pull/2374 has been merged - we should deploy this feature in our examples, which would tell the user what's being processed and the tqdm bar is for. Currently we get a bunch of bars that are absolutely meaningless and hard to understand what they do. See also: https://github.com/huggingface/datasets/issues/2330 The only issue is how to depend on `datasets` dev version, might have to wait for a new `datasets` release 1.6.3 to be able to merge such PR. A new release should be made in the next few days I'm being told, so a PR can be made. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: [Supervisor] Confusing error message when proc_regex is a string When `proc_regex` option is (wrongly) configured as a string (i.e `proc_regex: 'some-regex'`), the error message is unclear. I was struggling to understand, because when the string was indeed not empty and valid. It should be something like > proc_regex should be a list of strings https://github.com/DataDog/integrations-core/blob/9f39d4d93b3567570f7ac34253d216ff842a152e/supervisord/datadog_checks/supervisord/supervisord.py#L115-L122 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Case insensitivity when exporting package Hi, When I export a package which alredy exists with different large or lower case, my package will assume the other package's name. Due to case-sensitivity issues my package won't be exported with the name I gave it. This is problematic when trying to access it with the name I intended for it. E.g.: **conan serach** gives us a Hello/0.1@demo/testing Trying to **conan export demo2/testing** a package named hello will result in Hello/0.1@demo2/testing being created. The way I understand it this is a windows filesystem problem(case-sensitivity). It would be nice if a warning would be generated, informing the user about case problems when creating packages. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Not all API calls are logged in the CONAN_TRACE_FILE Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Return important circuit properties from a QuantumCircuit ### What is the expected enhancement? It is often of interest to compute several properties of a quantum circuit after compiling to a given device. For example, # of gates, # of cx-gates, depth, and # of swap gates added, are all properties of interest. However, only some of these values (# gates, and cx gates) can actually be extracted from the qasm in a qobj, others require going qobj -> circuit -> DAG. Some, like # of swaps added, cannot be gathered from the given information. These values should be reported in the qobj experiment headers. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: block_until_ready() should return the DeviceArray object It would be nice to have the `block_until_ready()` method return the `DeviceArray` object so that it can be more easily dropped into existing code. So something like ```python a = f() ``` could easily become ```python a = f().block_until_ready() ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: handle ImportError exception when used from projects outside The relative path that starts with . does not work when a file is used from an outside project. I added a safe code to handle the ImportError exception in this case, so I can use the source file without having to make local changes to it. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: Add test for conda/install.py imports https://github.com/conda/conda/pull/2526#issuecomment-220751869 Since this type of bug was introduced by at least three people independently, I think it would be good to add a test for this. The test could be something along the lines of: ``` tmp_dir = tempfile.mkdtemp() shutil.copyfile(conda.install.__file__, tmp_dir) sys.path = [tmp_dir] # we also need the standard library here import install ``` Basically, put the `install` module into an empty directory, and test if it can be imported by itself. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: [AIRFLOW-1067] rename airflow.com to example.com in examples Dear Airflow maintainers, Please accept this PR. I understand that it will not be reviewed until I have checked off all the steps below! ### JIRA - [x] My PR addresses the following [Airflow JIRA](https://issues.apache.org/jira/browse/AIRFLOW/) issues and references them in the PR title. For example, \"[AIRFLOW-XXX] My Airflow PR\" - https://issues.apache.org/jira/browse/AIRFLOW-1067 ### Description - [x] Here are some details about my PR, including screenshots of any UI changes: We use `airflow@airflow.com` in examples. However, https://airflow.com is owned by a company named Airflow (selling fans, etc). We should use `airflow@example.com` instead. That domain is created for this purpose. ### Tests - [x] My PR adds the following unit tests __OR__ does not need testing for this extremely good reason: Only text changes. I did `git grep airflow.com` after this change. ### Commits - [x] My commits all reference JIRA issues in their subject lines, and I have squashed multiple commits if they address the same issue. In addition, my commits follow the guidelines from \"[How to write a good git commit message](http://chris.beams.io/posts/git-commit/)\": 1. Subject is separated from body by a blank line 2. Subject is limited to 50 characters 3. Subject does not end with a period 4. Subject uses the imperative mood (\"add\", not \"adding\") 5. Body wraps at 72 characters 6. Body explains \"what\" and \"why\", not \"how\" Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Cannot create a schedule with a parameterized duration ### Information - **Qiskit Terra version**: commit 3c979ebdacecbbd213757a8149bddc309bfa58c0 - **Python version**: 3.8.5 - **Operating system**: Ubuntu 20.04 ### What is the current behavior? Cannot create a schedule with parameterized durations. ### Steps to reproduce the problem The following fails ```python from qiskit.pulse.transforms import inline_subroutines from qiskit.circuit import Parameter import qiskit.pulse as pulse from qiskit.pulse import Drag, DriveChannel, Gaussian, ControlChannel, GaussianSquare amp_cr = Parameter(\"amp\") amp = Parameter(\"amp\") d0 = DriveChannel(Parameter(\"ch0\")) c1 = ControlChannel(Parameter(\"ch0.1\")) sigma = Parameter(\"σ\") width = Parameter(\"w\") dur1 = Parameter(\"duration\") dur2 = Parameter(\"duration\") with pulse.build(name=\"xp\") as xp: pulse.play(Gaussian(dur1, amp, sigma), d0) with pulse.build(name=\"cr\") as cr: with pulse.align_sequential(): pulse.play(GaussianSquare(dur2, amp_cr, sigma, width), c1) pulse.call(xp) pulse.play(GaussianSquare(dur2, amp_cr, sigma, width), c1) pulse.call(xp) ``` ### What is the expected behavior? The code above should work. ### Suggested solutions Needs to be investigated. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Epoch counting is one-off in multiple instances 🐛 Bug Two issues occur: 1. The final epoch does not save a checkpoint during training. 2. Resuming from a checkpoint N will start the epochs at N+2. ### Expected behavior 1. Final checkpoint should save a .ckpt file, as usual. 2. Should resume from epoch N+1. ### Environment ``` * CUDA: - GPU: - Tesla V100-DGXS-16GB - Tesla V100-DGXS-16GB - Tesla V100-DGXS-16GB - Tesla V100-DGXS-16GB - available: True - version: 10.1 * Packages: - numpy: 1.18.1 - pyTorch_debug: False - pyTorch_version: 1.6.0 - pytorch-lightning: 0.9.0rc12 - tensorboard: 2.2.1 - tqdm: 4.46.1 * System: - OS: Linux - architecture: - 64bit - - processor: x86_64 - python: 3.7.7 - version: #113-Ubuntu SMP Thu Jul 9 23:41:39 UTC 2020 ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Parallel circuit compilation ### What is the expected enhancement? In order to improve compilation times, parallelize circuit compilation would be a great addition. I wanted to open this issue to discuss ideas and ways of implementing it in our current architecture. The goal is to land an implementation for 0.6. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add hook for task logging from function tasks Currently, if a user creates a task via class inheritance, adding additional custom logs is as simple as: ```python class MyTask(Task): def run(self): self.logger.info(\"My own custom runtime log.\") ``` However, if a user creates a task via the `@task` decorator, it's not obvious how to add runtime logs (as `self` isn't readily available). We should: - add a utility - or add the logger to context - or something else to make custom logging easier. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: How do I create a Nearline / DRA bucket in Cloud Storage? Page Name: storage-buckets Release: 0.7.0 http://googlecloudplatform.github.io/gcloud-python/latest/storage-buckets.html#gcloud.storage.bucket.Bucket.create doesn't make this all that clear. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Nox isn't linting tests Our nox configuration is skipping flake8 linting of tests, we should fix that. :) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the dagster-io/dagster codebase. Here's the problem: lazy pyspark resource Offer a lazy version of the pyspark resource that only initializes the spark session when it's accessed. This is helpful for IO managers that depend on spark, but only use it sometimes. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Compose on windows does not support Utf-8 BOM on 1.21.2 ## Description of the issue When the encoding of a compose file is UTF-8 BOM docker compose up results in the following error: `ERROR: In file '.\\docker-compose.yml', service 'version' must be a mapping not a string.` When using version 1.15.0-rc1 the issue does not occur. ``` Output of \"docker-compose version\" ``` Working version: docker-compose version 1.15.0-rc1, build 2188098f Failing verson: docker-compose version 1.21.2, build a1334711 ``` Output of \"docker version\" ``` Docker version 17.05.0-ce, build 89658be ``` Output of \"docker-compose config\" ``` Stored with encoding UTF8 BOM version: \"3\" services: consul: image: consul:latest networks: - nat networks: nat: external: true ## Steps to reproduce the issue 1. Save the content above in UTF8 BOM 2. docker-compose up ### Observed result ERROR: In file '.\\docker-compose.yml', service 'version' must be a mapping not a string ### Expected result Creating consul_1 ... done ## Additional information Windows Server 2016. Compose was installed by extracting the executable. I am not using docker toolbox. This issue does not occur on the Linux version of compose Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the dagster-io/dagster codebase. Here's the problem: key_prefix for AssetsDefinition.from_graph Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Congratulate Ben and Aanand on becoming part of Docker (Mis-using the issue-tracker for this, so feel free to close this) Just read the [official announcement](http://blog.docker.com/2014/07/welcoming-the-orchard-and-fig-team/) that Orchard's founders @bfirsh and @aanand are joining Docker to work on the orchestration part of the Docker ecosystem. I am very excited to see this announcement and wanted to congratulate you on this. Hoping to see even better orchestration with less 'hacking' around missing features upstream. Great news! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: meson-logs.txt should contain information about cached dependencies When a dependency is searched for the first time, `meson-logs/meson-log.txt` contains all relevant info, which are the commands run and their result. That's fine. When retrieved from cache on successive runs, it just displays: ``` Dependency libheif found: YES (cached) ``` Even when cached, the logs should contain the cached version, as well as retrieved `--libs` and `--cflags` contents, otherwise there is not much for us to debug if there is a problem. I had this case where I only discovered the wrong dependency was used because I had warnings in our meson file (#6180). Logs should contain more. Thanks! :-) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Allow users to enable verbose Makefile in CMakeToolchain - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Same feature request than https://github.com/conan-io/conan/issues/9772, but for `CMakeToolchain`. The idea would be to inject `set(CMAKE_VERBOSE_MAKEFILE ON)` in CMakeToolchain if a specific conf is enabled. Maybe a common conf could be shared to enable verbosity to all build systems supporting this kind of feature. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: IPython 0.13.1 ignoring $PYTHONSTARTUP IPython is ignoring the `$PYTHONSTARTUP` environment variable. `$HOME/.pythonrc.py`: ``` python print 'hello?' ``` ``` $ PYTHONSTARTUP=$HOME/.pythonrc.py ipython Python 2.7.3 (default, Nov 29 2012, 15:33:55) Type \"copyright\", \"credits\" or \"license\" for more information. IPython 0.13.1 -- An enhanced Interactive Python. ? -> Introduction and overview of IPython's features. %quickref -> Quick reference. help -> Python's own help system. object? -> Details about 'object', use 'object??' for extra details. In [1]: ``` ``` $ PYTHONSTARTUP=$HOME/.pythonrc.py python Python 2.7.3 (default, Nov 29 2012, 15:33:55) [GCC 4.2.1 Compatible Apple Clang 4.1 ((tags/Apple/clang-421.11.66))] on darwin Type \"help\", \"copyright\", \"credits\" or \"license\" for more information. hello? >>> ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Use MSVC preview versions To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. I've tried to use MSVC 2017 Preview, but conan could not detect it successfully. According to [win.py file](https://github.com/conan-io/conan/blob/cf2c3bd2081f4915ee7992e5f85100ee14afe403/conans/client/tools/win.py#L124), vswhere needs prerelease variable True in order to give find preview versions. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: [CamemBert] Tokenizer function add_tokens doesn't work ## ❓ Questions & Help Hi, I am trying to add new tokens to the CamemBert tokenizer, but when I run the function tokenizer.add_tokens, it doesn't seem to add any token at all : `from transformers import CamembertTokenizer` `tokenizer = CamembertTokenizer.from_pretrained('camembert-base')` `tokenizer.add_tokens(['notfrenchword'])` `Out[12]: 0` Whereas with Bert model it works perfectly. Is this a bug or am I doing something wrong ? Thanks Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [ux] Make the error on incorrect command input more helpful Example ``` $ conan remoe 'remoe' is not a Conan command. See 'conan --help' The most similar commands are remove remote ERROR: Unknown command 'remoe' ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Use POST with Translate API I try to translate a piece of text that's more than 2000 characters. The limit of a GET request to the translate API is 2000 characters. So my idea was to POST instead of GET, but that does not seem to be configurable, see https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/translate/google/cloud/translate_v2/client.py#L234 . Is it possible to use POST with Translate? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Sharing Microsoft's DialogRPT (new dialog ranking model) # 🌟 New model addition ## Model description Thanks for the awesome work! [DialogRPT](https://github.com/golsun/DialogRPT) (Dialog Ranking Pretrained Transformers) is a set of GPT-2 based dialogue ranking models recently released with an [EMNLP paper](https://arxiv.org/abs/2009.06978) by Microsoft Research. It's a follow-up work of [DialoGPT](https://huggingface.co/transformers/model_doc/dialogpt.html) (thanks for hosting it!) The architecture is pretty simple: a `GPT2Model` followed by a `torch.nn.Linear(n_embd, 1, bias=False)`, and implemented based on a [previous HuggingFace commit](https://github.com/huggingface/transformers/commit/4d456542e9d381090f9a00b2bcc5a4cb07f6f3f7) At first, I'm trying to create a model card for it, but then realized that it seems there's no existing model architecture in HuggingFace is compatible with DialogRPT. I noticed a lot of BERT-based sequence classification models, but ours is GPT-2 based. If there's a simple fix (or I missed something) please let me know! If implementation in modeling_gpt2.py is necessary, I'm also glad to help! ## Open source status * [x] the model implementation is available: (https://github.com/golsun/DialogRPT) * [x] the model weights are available: (https://github.com/golsun/DialogRPT) * [x] who are the authors: @golsun @dreasysnail Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Update requests dependency A few days ago *requests* 2.13 has been released. Unfortunately, *docker-compose* still enforces *requests* `< 2.12`: `'requests >= 2.6.1, != 2.11.0, < 2.12',` Is there a reason for this? Changes are [mostly bugfixes](https://github.com/kennethreitz/requests/blob/master/HISTORY.rst). It seems like some [distributions already ship](https://git.archlinux.org/svntogit/community.git/tree/trunk/PKGBUILD?h=packages/docker-compose) `docker-compose` with newer versions of `requests` without any issues. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Adding Pix2Struct to transformers ### Model description Image-to-Text encoder decoder presented in: https://arxiv.org/abs/2210.03347 It is in spirit similar to the [Donut](https://huggingface.co/docs/transformers/model_doc/donut) model that has been added to transformers not so long ago, but it has outperformed it on pretty much all benchmarks (thanks to different pre-training and slightly different encoders and decoders, more weights). ### Open source status - [X] The model implementation is available - [X] The model weights are available ### Provide useful links for the implementation Github repo: https://github.com/google-research/pix2struct Pretrained checkpoints are available on the repo, along with the code to fine-tune the model. The only thing is that everything is in Jax, so might take a while to convert Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Add support for volume declaration in compose file Using the volume API added in Docker 1.9 (recently implemented support in docker-py, see https://github.com/docker/docker-py/pull/764) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Allow dryRun for jobs/queries Not sure how to best do this; but would be great with the ability to trigger dryRuns of jobs to get an idea of the amount of data it will consume and validate the query. https://cloud.google.com/bigquery/docs/reference/v2/jobs#configuration.dryRun ... essentially it could be just a parameter on the job like for example write_disposition; however it might make more sense to do one of: a) Add a bool param on the job \"begin\" method to allow dry-runs b) Add a dry_run method that mimics begin but does a dry-run Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Gdbus unit tests do not pass on 0.48 rc ``` ====================================================================== FAIL: test_introspect_dependencies (__main__.LinuxlikeTests) ---------------------------------------------------------------------- Traceback (most recent call last): File \"./run_unittests.py\", line 3797, in test_introspect_dependencies self.assertEqual(t['filename'], 'gdbus/generated-gdbus-doc-' + ifile) AssertionError: 'gdbus/generated-gdbus-doc-com.example.Sample.xml' != 'gdbus/generated-gdbus-doc-gdbus/data/com.example.Sample.xml' - gdbus/generated-gdbus-doc-com.example.Sample.xml + gdbus/generated-gdbus-doc-gdbus/data/com.example.Sample.xml ? +++++++++++ ``` This is a release blocker. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Allow editing of other file types in notebook using CodeMirror Currently, the notebook dashboard only shows the notebooks in the given project directory. It shoud show all text based files (.rb, .txt, .py, .csv, etc.) and allow the other files to be editing and saved using CodeMirror as well. This will make the notebook a more general development tool. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: 21be99e (remove load_connection_file from consoleapp) breaks Spyder Found with git bisect: 21be99e4f4dc9502454556e4df862ba3cca71c5c When trying to open an embedded IPython console, Spyder produces an `Unsigned message` error. The error message is: ``` [IPKernelApp] ERROR | Invalid Message Traceback (most recent call last): File \"/home/zah/sourcecode/ipython/IPython/kernel/zmq/ipkernel.py\", line 212, in dispatch_shell msg = self.session.unserialize(msg, content=True, copy=False) File \"/home/zah/sourcecode/ipython/IPython/kernel/zmq/session.py\", line 799, in unserialize raise ValueError(\"Unsigned Message\") ValueError: Unsigned Message [IPKernelApp] ERROR | Invalid Message Traceback (most recent call last): File \"/home/zah/sourcecode/ipython/IPython/kernel/zmq/ipkernel.py\", line 212, in dispatch_shell msg = self.session.unserialize(msg, content=True, copy=False) File \"/home/zah/sourcecode/ipython/IPython/kernel/zmq/session.py\", line 799, in unserialize raise ValueError(\"Unsigned Message\") ValueError: Unsigned Message ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: GIT does not work with beam search ### System Info - `transformers` version: 4.26.0.dev0 - Platform: Linux-5.4.143.bsk.7-amd64-x86_64-with-glibc2.31 - Python version: 3.9.2 - Huggingface_hub version: 0.11.1 - PyTorch version (GPU?): 1.13.1 (True) - Tensorflow version (GPU?): not installed (NA) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: YES - Using distributed or parallel set-up in script?: NO ### Who can help? @gante @ArthurZucker @younesbelkada ### Information - [ ] The official example scripts - [X] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction Take the script from official doc (https://huggingface.co/docs/transformers/main/model_doc/git#transformers.GitForCausalLM) Add `num_beams=3`. Git model will report error. ```python from transformers import AutoProcessor, AutoModelForCausalLM import requests from PIL import Image processor = AutoProcessor.from_pretrained(\"microsoft/git-base-coco\") model = AutoModelForCausalLM.from_pretrained(\"microsoft/git-base-coco\") url = \"http://images.cocodataset.org/val2017/000000039769.jpg\" image = Image.open(requests.get(url, stream=True).raw) pixel_values = processor(images=image, return_tensors=\"pt\").pixel_values generated_ids = model.generate(pixel_values=pixel_values, max_length=50, num_beams=3) generated_caption = processor.batch_decode(generated_ids, skip_special_tokens=True)[0] print(generated_caption) ``` ### Expected behavior GIT model should work with beam search. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: No option to specify a custom nullMarker while using table.upload_from_file method We have source data where Null values are represented by \\N. However, we're unable to use table.upload_from_file method as there is no parameter to specify a custom null marker(configuration.load.nullMarker). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: build in parallel Is it possible to build multiple services in a docker-compose file in parallel? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Better error messaging when graphviz is not present _For reference, this was originally posted by @jaygambetta in https://github.com/Qiskit/qiskit-terra/issues/2281#issuecomment-489417445_ > @ajavadia and @mtreinish it has been lost where to find how to add this dependencies outside pip. It is in the doc for the function https://github.com/Qiskit/qiskit-terra/blob/master/qiskit/visualization/dag_visualization.py but I think we need to make this clearer in the documentation in the Qiskit repo. > > I would split this into two issues -- > 1. In terra add better error messaging. If you call drag_drawer and you don't have graphviz give that this dependency needs to be installed on your system. > 2. in qiskit add a documentation on how to setup the dag drawer for different operating systems. This is issue is about the first item. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: %run does not work with import hooks Hi, I ran into an issue where the use of `imp` vs `__import__` matters. `imp` is bypassing some things that import statements do, such as calling custom [import hooks](https://docs.python.org/3/reference/import.html#import-hooks). Is there are reason `imp` is being used? If not, can this be updated to use `__import__`? As a note, this comes up when using `%run -m foo`. Thanks! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Deepcopy usage causes 3x performance regression ### Information - **Qiskit Terra version**: master - **Python version**: Any - **Operating system**: Any ### What is the current behavior? In #1816 we redefined the instruction class so it didn't carry the qargs and cargs internally. However, this change broke how we were doing dag->circuit and circuit->dag in `qiskit.converters.dag_to_circuit()` and `qiskit.converters.circuit_to_dag()` respectively. In that PR the previous method which just created a duplicate object for the input instruction was removed and replaced by a call to copy.deepcopy(). This ends up significantly hurting performance in certain cases and continuous benchmarking is showing a 3x performance regression on simulator transpiler benchmarks in: https://github.com/Qiskit/qiskit/tree/master/test/benchmarks ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Remove the deep copy usage Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Cannot resolve parent container IP address - with depends_on in config I've an issue with the latest rc2 release and the depends_on feature. My config looks like this: [docker-compose.yml](https://github.com/docker/compose/files/113802/docker-compose.yml.txt) Getting error: > front.example.org | Message from VCC-compiler: > front.example.org | Backend host '\"www.development.example.org\"' could not be resolved to an IP address: > front.example.org | Name or service not known So apparently the front.development.example.org container starts before it's able to resolve the host www.development.example.org to an IP address. (I've attempted to manually sleep for two secs before starting front main application, and then it works fine.) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: (TF) model.generate to tf.function for tf serving ### Feature request It would be nice if you wrapped the generate method of autorregressive models into a `tf.function`. That way we could export and serve it with all the Tensorflow production stack. Its kinda a revival of #5443. It would enable us to do something like: ```python from transformers import AutoTokenizer, TFAutoModelForCausalLM import tensorflow as tf model = TFAutoModelForCausalLM.from_pretrained(\"gpt2\") model.save( \"some_place\", signatures={ \"serving_default\": model.generate.get_concrete_function(tf.TensorSpec([None, None], tf.int32)) } ) ``` And then serve it on TF production stack. ### Motivation It would be nice if you wrapped the generate method of autorregressive models into a `tf.function`. That way we could export and serve it with all the Tensorflow production stack. It is frustrating to have to write generate by hand or move to PyTorch to serve generative language models. ### Your contribution I could write a PR, thou it would be nice if HF could share what they have done when trying it, as @Rocketknight1 and @patrickvonplaten said in : https://github.com/huggingface/transformers/issues/5443#issuecomment-1020067525_ , so I would have somewhere to go from. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: No parameter available to specify a jobId to Table.upload_from_file() There is no way to send a `jobId` to the `upload_from_file` function. My motivation is that I've had issues with uploading the same file twice, duplicating data in the target table. A suggested solution was to specify my own `jobId` as a hash of the file contents. That way, duplicate uploads would be rejected as having the same `jobId`. Without modifying the library, there is no ability to do this. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add CLI flags for all Fargate Agent keyword arguments As another interface for setting the various config settings. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: DatabricksRunNowOperator missing jar_params as a kwarg **Description** DatabricksRunNowOperator is missing the option to take in key word arguement _jar_params_ , it already can take the other ones notebook_params,python_params,spark_submit_params. https://docs.databricks.com/dev-tools/api/latest/jobs.html#run-now **Use case / motivation** Provide parity with the other options Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: BartTokenizer add_tokens feature. Hi @LysandreJik , I am working on audio captioning, and the ground truth captions are tokenized using the BartTokenizer. I have observed that some of the words in the captions are not tokenized correctly. For instance, the word 'rumbling'. There is no such word in the tokenizer, and its tokenizing is ['Ġr', 'umbling']. I have tried to add the tokens(the word 'Ġrumbling')and change the model token embeddings. But instead of tokenizing the word correctly, it is still tokenizing as ['Ġr', 'umbling']. Did I miss anything here? I have also faced the same issues with the some other words too! Here is my code! ``` tokenizer = AutoTokenizer.from_pretrained(\"facebook/bart-base\", use_fast=True) tokenizer.add_tokens(['Ġrumbling']) model = BartForConditionalGeneration.from_pretrained(\"facebook/bart-base\") model.resize_token_embeddings(len(tokenizer)) print(tokenizer.is_fast) ou_e = 'the rain falls down while someone is pounding a car passes by and the thunder is rumbling' tok_e = tokenizer(ou_e, max_length=64, return_tensors='pt', padding='max_length') seq = tokenizer.tokenize(ou_e) print(seq) summary_ids = model.generate(tok_e['input_ids'], num_beams=4, min_length=5, max_length=100) summary = tokenizer.batch_decode(summary_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False) print(summary) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: mpl circuit drawer does not scale properly The `scale` kwarg to `circuit.draw()` does not work well for the mpl drawer, because it does not scale the text font size. ```python from qiskit import QuantumCircuit from qiskit.quantum_info.random import random_unitary circuit = QuantumCircuit(5) for _ in range(8): circuit.unitary(random_unitary(2**5), circuit.qubits) circuit.draw('mpl') ``` Default scaling is fine:  Scale up: ```python circuit.draw('mpl', scale=2) ```  Scale down: ```python circuit.draw('mpl', scale=0.3) ```  Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Notebook should be saved before downloading If a user works in a new notebook and clicks 'Download' without first having saved anything, they get an empty notebook. We should either prompt to save, or automatically produce a save action, since otherwise it's pretty confusing. Reported by @jdh2358. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the explosion/spaCy codebase. Here's the problem: vocab[\"-0.23\"].like_num is False Pretty straight forward, it seems like negative numbers are currently not flagged as numbers in the Lexeme object. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: find alternative to gfile ## 🚀 Feature at this moment we are using GFile for saving checkpoints which are imported from tensorboard which underhood uses TF core... ### Motivation remove the hard dependency on tensorboard as it seems tidy linked to TensorFlow and for visualization user can install it independently ### Pitch Avoid tensorboard limitations Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add IAM support to APIs which support it (copied from https://github.com/GoogleCloudPlatform/gcloud-node/issues/1192, which is funnily-enough exactly true for `gcloud-python`, too). [IAM](https://cloud.google.com/iam/docs) is currently buried inside of our Pub/Sub code, but should be abstracted to be used with any API that supports it: - [ ] BigQuery - [ ] [Compute](https://cloud.google.com/compute/docs/access/iam) - [ ] [Logging](https://cloud.google.com/logging/docs/access-control) - [ ] [Pub/Sub](https://cloud.google.com/pubsub/access_control) - [ ] [Resource Manager](https://cloud.google.com/resource-manager/docs/access-control-proj) - [ ] [Storage](https://cloud.google.com/storage/docs/iam) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Performance regression with two-step transpilation #7217 ### What is the expected enhancement? #7217 causes significant performance regression on VQE. We should fix the performance regression. ```python from timeit import timeit from qiskit import Aer from qiskit.algorithms import VQE from qiskit.algorithms.optimizers import COBYLA from qiskit.circuit.library import RealAmplitudes from qiskit.opflow import PauliSumOp from qiskit.utils import QuantumInstance quantum_instance = QuantumInstance(backend=Aer.get_backend('aer_simulator'), shots=1) vqe = VQE(ansatz=RealAmplitudes(), optimizer=COBYLA(maxiter=1), quantum_instance=quantum_instance) op = PauliSumOp.from_list([(\"ZZ\"*5, 1), (\"IX\"*5, 2)]) print(f'{timeit(lambda: vqe.compute_minimum_eigenvalue(op), number=10)} sec') ``` fe0abaa7 ``` 1.525182469 sec ``` 01967546 ``` 3.796546701 sec ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Nbconvert [windows]: Inconsistent line endings in markdown cells exported to latex I'm getting what looks like inconsistent line endings in the output of markdown cells, which is causing latex to complain about runaway arguments and paragraphs ending early. The exact error is: ``` ! Paragraph ended before \\ttl@straight@i was complete ``` And looking at the offending line in the `.tex` file (in emacs): ``` \\subsection{ Text that doesn't have line breaks in it in the markdown cell^M^M but does seem to have two CRLF's (judging by the ^M's), and a LF here.} ``` Taking the `^M`'s out will allow pdflatex to produce the output, but there are still ^M's scattered throughout the document. As a guess it's that [Pandoc explicitly expects UTF-8](http://johnmacfarlane.net/pandoc/README.html#using-pandoc), and somehow the subprocess is piping in CP-850 or similar windows encoding and pandoc is outputting some combination of the two line endings. I've tried to recreate the issue just with Pandoc, inputting various encoding schemes but I couldn't recreate it. Alternatively, it may be the utf-8 encoding casting that occurs in `IPython/nbconvert/utils/pandoc.py` which is adding LF but not removing the CRLFs ( but I'm still not sure why there are any line breaks as the original cell doesn't have them). Sys info. ``` {'codename': 'An Afternoon Hack', 'commit_hash': '02da31c', 'commit_source': 'installation', 'default_encoding': 'cp850', 'ipython_path': 'C:\\\\Python27\\\\lib\\\\site-packages\\\\IPython', 'ipython_version': '1.0.0', 'os_name': 'nt', 'platform': 'Windows-7-6.1.7601-SP1', 'sys_executable': 'C:\\\\Python27\\\\python.exe', 'sys_platform': 'win32', 'sys_version': '2.7.3 |EPD_free 7.3-2 (32-bit)| (default, Apr 12 2012, 14:30:3 ) [MSC v.1500 32 bit (Intel)]'} ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Bigtable: createTable should allow creation of column families Table.create() should allow the user to create column families when the table itself is created. Users should be able to supply a Column Family Id => GcRule policy mapping to accomplish this feature. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: conda's configuration context is not initialized in conda.exports root cause of https://github.com/conda-forge/conda-smithy/issues/762 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: f2py fails to generate Fortran modules on Numpy 1.16.0 On Numpy 1.16.0, `f2py` fails to generate Fortran modules: ``` error: f2py target file '/tmp/tmpnke02j8i/src.linux-x86_64-3.6/test_f2py.c' not generated ``` Tested on Ubuntu 1.16 and macOS 1.14.2 both with Python 3.6. This appears to be a new bug as there are no issue with Numpy 1.15.4 or lower. ### Reproducing code example: Create `test_f2py.f90` and `test_f2py.py` and add the following lines: - `test_f2py.f90` ``` program test_f2py end program test_f2py ``` - `test_f2py.py` ``` import numpy.f2py as f2py with open('test_f2py.f90', 'rb') as fid: source = fid.read() f2py.compile(source , modulename='test_f2py', extension='.f90') ``` Run `test_f2py.py`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Bring back the labhub entry point ## Description We previously had this interface in 1.0. We removed it in https://github.com/jupyterlab/jupyterlab/pull/7724. However, based on the feedback from https://github.com/jupyterlab/jupyterlab/pull/8356 and @athornton on [gitter](https://gitter.im/jupyterlab/jupyterlab?at=5f171e82a15ff42fa8e1da20), we need to bring this back in order to pass settings to the lab app. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Adding a -q option to conan upload would help Hello, I'm using Conan 1.0.4 I use the `conan remove -q` option a lot, and I would like to have the same feature when uploading packages. There is the `-p` option, but specifying every package ID is tedious, to say the least. It there any blocking issue preventing the same option for `conan upload`? To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Local docker images should be available as base images for environments Currently, it appears that building an image locally and specifying that as a base image for Docker-based environments does not work (it attempts to pull from remote registries). We should find a way to fix this. **cc:** @joshmeek Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: `ccx` and `cswap` should allow different size controls and targets ### What is the expected enhancement? Currently the cswap and ccx gates check that the size of ctrl and tgt are the same (if passed as list). This is not necessary, since we could broadcast a control to multiple targets or vice versa (as a shorthand). For example: ```python qr1 = QuantumRegister(2) qr2 = QuantumRegister(2) qr3 = QuantumRegister(1) circuit.ccx(qr1, qr2, qr3) ``` ``` qr1[0]----.----------- | qr1[1]-----------.---- | | qr2[0]----.----------- | | qr2[1]-----------.---- | | qr3[0]----X------X---- ``` CX already allows one control to many targets. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add a two-step tapering option ### What should we add? Currently, the :meth:`taper` of the z2symmetry class does the following (I only kept the relevant parts) ``` def taper(self, operator: PauliSumOp) -> OperatorBase: # STEP 1 Change basis if not operator.is_zero(): for clifford in self.cliffords: operator = cast(PauliSumOp, clifford @ operator @ clifford) operator = operator.reduce(atol=0) # STEP 2 Reduce the operator if self._tapering_values is None: tapered_ops_list = [ self._taper(operator, list(coeff)) for coeff in itertools.product([1, -1], repeat=len(self._sq_list)) ] tapered_ops: OperatorBase = ListOp(tapered_ops_list) else: tapered_ops = self._taper(operator, self._tapering_values) return tapered_ops ``` For the QEOM algorithm in qiskit-nature, we encounter the problem of tapering products of operators. In that case, the first step is multiplicative while the second step is not : STEP1(A @ B) = STEP1(A) @ STEP1(B) but STEP2(A @ B) != STEP2(A) @ STEP2(B). This multiplicativity reduces the resource requirement of the first step. I propose the addition of two additional methods :meth:`convert_clifford` and :meth:`taper_clifford` corresponding to step 1/2 respectively, to allow a more efficient management of the tapering of products. Overall, this would also contribute to making the tapering more understandable. I know that the future of the z2symmetries has some uncertainties so this is more of a quick, short term possible improvement. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: setting default_channels from CLI raises NotImplementedError Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: bad example for `np.linalg.solve` with all respect, I think the example given in https://github.com/numpy/numpy/blob/92ebe1e9a6aeb47a881a1226b08218175776f9ea/numpy/linalg/linalg.py#L365 is the particularly unsuitable one. Since the coefficient matrix here is symmetric, novice user cannot immediately understand from this example, whether coefficient matrix should be given in row-first order or column-first order. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: test.python.quantum_info.test_states.TestStates.test_random_state fails by returning nan ### Informations - **Qiskit Terra version**: master - **Python version**: any - **Operating system**: any ### What is the current behavior? Occasionally in CI we're encountering failures caused by `test.python.quantum_info.test_states.TestStates.test_random_state` generating `nan` instead of a value converged to `1/8`. For example see: https://ci.appveyor.com/project/QISKit/qiskit-sdk-py/builds/20165445/job/r5t0rtgv445hcuqt#L927 ``` test.python.quantum_info.test_states.TestStates.test_random_state ----------------------------------------------------------------- Captured traceback: ~~~~~~~~~~~~~~~~~~~ b'Traceback (most recent call last):' b' File \"C:\\\\projects\\\\qiskit-sdk-py\\\\test\\\\python\\\\quantum_info\\\\test_states.py\", line 90, in test_random_state' b' self.assertAlmostEqual(E_P0, 1/8, places=2)' b' File \"C:\\\\Python35\\\\lib\\\\unittest\\\\case.py\", line 877, in assertAlmostEqual' b' raise self.failureException(msg)' b'AssertionError: nan != 0.125 within 2 places' b'' ====== ``` ### Steps to reproduce the problem It's occurring in CI occasionally, see the referenced failures. ### What is the expected behavior? The test passes 100% of the time. ### Suggested solutions Figure out the source of the failure (likely something with calling randint in the test) and fix it so that it always passes. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Resnet weights should not be downloaded when building DETR by from_pretrained ## Describe the bug Hello, the building process of DETR in transformers uses timm to construct a resnet backbone. ``` backbone = create_model(name, pretrained=True, features_only=True, out_indices=(1, 2, 3, 4), **kwargs) ``` However, `pretrained=True` should only be enabled when building an initial DETR. When building DETR with `from_pretrained`, the pretrained weights of Resnet are redundant. If there is a lack of internet connection or a poor network environment, this can cause the code to get stuck even if the model is building from local files. ## Environment info - `transformers` version: 4.15.0 - Platform: Linux-5.11.0-46-generic-x86_64-with-glibc2.17 - Python version: 3.8.10 - PyTorch version (GPU?): 1.8.2 (True) - Tensorflow version (GPU?): not installed (NA) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: no - Using distributed or parallel set-up in script?: no Models: DETR Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Workspaces importer and exporter should be able to set the workspace name Currently the workspaces importer checks that the workspace name is valid, and this check is pretty strict. In a JupyterHub environment this means that the workspace id must include the jupyterhub user name, which automatically makes workspace files less portable between different users. This makes distribution of workspaces more challenging for administrators. For an example, see this binder start script: https://github.com/dask/dask-examples/blob/0c39b1c6348e118594397e8b61eec594ef011db1/binder/start#L6 It would be nice if the importer and exporter could take a `--name` argument that automatically overwrote the workspace id with the correct one (e.g., `user/${USER_NAME}/${WORKSPACE_NAME}`). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [cmake helper] CONAN_CPU_COUNT is not respected with the ninja generator Conan Version: 1.18.4 I just upgraded some of our projects to build with ninja by setting CONAN_CMAKE_GENERATOR=Ninja. While everything still works, this change caused quite a high load on the CI runner that I was not really expecting. In particular, it seems like the cmake helper is ignoring the configured CONAN_CPU_COUNT value when the ninja generator is used. See: https://github.com/conan-io/conan/blob/0882a2a8c85b848b277aa45893576a45e208e27e/conans/client/build/cmake.py#L238 I would expect that also the ninja generator adheres to the specified cpu count. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Add link to C file in Cython failures and -a for annotated html In the cython magic extension, it would be nice to return a link to the generated C file that can be opened in the browser as well as supporting the `-a` flag to produce annotated HTML. The annotation flag can be activated by setting ``` Cython.Compiler.Options.annotate = True ``` These two simple enhancements would make debugging and optimization of Cython code much more user friendly. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Scope variables do not accept a value containing a ':' Hi, I modified the Boost package recipe so that I can specify an alternate url for downloading the source zip file. I used a scope variable for this purpose. However it seems that conan does not allow scope variables to contain a ':'. When issuing this command: conan install Boost/1.61.0@epr-eliaskousk/stable --build -s os=Windows -s arch=x86_64 -s compiler=\"Visual Studio\" -s compiler.version=14 -s compiler.runtime=MDd -s build_type=Debug -sc ALL:source_url=http://sourceforge.net/projects/boost/files/boost Here is the error message I get: ERROR: Bad scope ALL:source_url=http://sourceforge.net/projects/boost/files/boost I suppose there is an issue because the parsing treats the ':' as a special separator?... Would it be possible to fix this or is it supposed to be like that? (I can workaround the issue by replacing the character ':' in my string value by yet-another special character) thanks Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Docu broken If i try to click on \"Source Code\" link @ https://googlecloudplatform.github.io/gcloud-python/#/docs/master/gcloud/datastore/client/client?method=gcloud.datastore.client.Client.put_multi i get a 404. 404: Link: https://github.com/GoogleCloudPlatform/gcloud-python/blob/master/.tox/json-docs/lib/python2.7/site-packages/gcloud/datastore/client.py#L331 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Move Connection._create_scoped_credentials into __init__ of base class Right now all 3 packages call it from their constructor ``` bash $ git log -1 --pretty=%H baf58f2e00507dd6ed15971716fd6579c43dfa10 $ git grep -B 1 create_scoped_credentials gcloud/connection.py- @staticmethod gcloud/connection.py: def _create_scoped_credentials(credentials, scope): -- gcloud/datastore/connection.py- def __init__(self, credentials=None, http=None, api_base_url=None): gcloud/datastore/connection.py: credentials = self._create_scoped_credentials(credentials, SCOPE) -- gcloud/pubsub/connection.py- def __init__(self, credentials=None, http=None): gcloud/pubsub/connection.py: credentials = self._create_scoped_credentials(credentials, SCOPE) -- gcloud/storage/connection.py- def __init__(self, credentials=None, http=None): gcloud/storage/connection.py: credentials = self._create_scoped_credentials(credentials, SCOPE) ``` We may as well just have `gcloud.connection.Connection.__init__` call it and use `cls.SCOPE`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Graphormer multi label classification label input format ### System Info NA ### Who can help? @clefourrier Kindly share the input format for multi label classification specially on the label side. ### Information - [ ] The official example scripts - [ ] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction NA ### Expected behavior NA Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Inefficient allocation of ancilla qubits in PiecewiseLinearRotation and PolynomialLinearRotation ### What is the expected enhancement? In PiecewiseLinearRotation, only `num_state_qubits - 1 + 1` ancillas are ever used at the same time (instead of `num_ancillas = num_state_qubits - 1 + len(self.breakpoints)`). For each breakpoint, the exact same ancillas could be reused, instead of changing each time which ancilla are used (by using the i_compare index) (or another way to say it.: everything would work the same if i_compare was fixed to 0 all the time). In PolynomialPauliRotation, only `max(1, min(degree - 1, num_state_qubits - 2))` are needed, instead of `num_ancillas = max(1, self.degree - 1)`. (Because where the ancillas are used, l.341, 343 and 345, we have that `len(rotation_coeffs[c]) <= min(degree + 1, num_state_qubits))` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: conditional wires in text circuit drawer should be classical wires Currently: ``` from qiskit import * qr = QuantumRegister(2, 'qr') cr = ClassicalRegister(1, 'cr') circuit = QuantumCircuit(qr, cr) circuit.measure(qr[0], cr[0]) circuit.h(qr[0]).c_if(cr, 1) print(circuit) ``` ``` ┌─┐ ┌───┐ qr_0: ┤M├─┤ H ├─ └╥┘ └─┬─┘ qr_1: ─╫────┼─── ║ ┌──┴──┐ cr: 1/═╩═╡ = 1 ╞ 0 └─────┘ ``` Expected output: ``` ┌─┐ ┌───┐ qr_0: ┤M├─┤ H ├─ └╥┘ └─╥─┘ qr_1: ─╫────╫─── ║ ┌──╨──┐ cr: 1/═╩═╡ = 1 ╞ 0 └─────┘ ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Storage: add support for Per-Object Storage Class We need to add support for Per-Object Storage Class (POSC). Here some extra information to help: - [POSC info from Cloud Storage documentation](https://cloud.google.com/storage/docs/per-object-storage-class) - [POSC example with JSON API](https://cloud.google.com/storage/docs/changing-storage-classes) - [Storage Class info from Cloud Storage documentation](https://cloud.google.com/storage/docs/storage-classes) On top of that, google-cloud-dotnet has made an implementation which can be used as reference. - [Please view the Pull Request to understand the changes](https://github.com/GoogleCloudPlatform/google-cloud-dotnet/pull/766) If you have any implementation questions, please direct them at jskeet /cc @jskeet @danoscarmike Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: Scalars passed into np.array should return 0-dim arrays import jax.numpy as np import numpy as onp onp.array(0).dtype # works, because onp.array(0) returns a 0-dim array np.array(0).dtype # doesn't work, because np.array(0) returns an int This showed up when trying to do `lax.dynamic_update_slice(array, value, np.array(0))` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Flip order of CXCancellation and 1QGateOptimization in default transpiler flow ### What is the expected enhancement? Flipping the order of CXCancellation and 1QGateOptimization in the default transpiler flow allows for the possibility of single-qubit gates in between cx gates to add up to identity, which in turn allows the cx gates to collected by the cx gate cancellation. The current ordering does not allow for this, and is thus not as efficient at reducing depth. } ``` ~~IIUC `str(ScalarMapContainer)` will resemble something user friendly (but we are using `repr()`)~~ I was wrong. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: qubit_lo_range and meas_lo_range are still in GHz in the configuration ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? The qubit and meas lo ranges are in Hz rather than GHz ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Inconsistency between local and remote version of `conan search` Depending on searching either in remotes or locally we're getting different results for situations where we don't use wildcards. Example: ``` $ conan search zlib There are no packages matching the 'zlib' pattern $ conan search zlib* Existing package recipes: zlib/1.2.8@conan/stable zlib/1.2.11@conan/stable ``` ``` $ conan search zlib -r conan-center Existing package recipes: zlib/1.2.8@conan/stable zlib/1.2.11@conan/stable zlib/1.2.11@conan/testing ``` Same for combinations such as `zlib/1.2.8`, `zlib/1.2.8@`, `zlib/1.2.8@conan`, `zlib/1.2.8@conan/` except for `zlib/`. Proposition: make local search act in the same manner as remote search. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: Weird behavior of structured_to_unstructured on non-trivial dtypes With the following helpers: ```python import numpy.lib.recfunctions as rfn def subarray(dt, shape): return np.dtype((dt, shape)) def structured(*dts): return np.dtype([('x{}'.format(i), dt) for i, dt in enumerate(dts)]) def inspect(dt): arr = np.zeros((), dt) ret = rfn.structured_to_unstructured(arr) print(ret.shape, ret.dtype) ``` We can try a bunch of uses of `structured_to_unstructured` (added in #11526): ```python >>> inspect(structured(int, int)) (2,) int32 # obviously ok >>> inspect(structured(int, structured(int, int))) (3,) int32 # nested types are flattened, ok >>> inspect(structured(int, subarray(int, 2))) (3,) int32 # ok: 1 + 2 >>> inspect(structured(int, subarray(int, (2, 2)))) (5,) int32 # ok: 1 + 2*2 ``` Here's where things start to go bad: ```python >>> inspect(structured(subarray(structured(int, int), 3))) (3,) [('x0', '>> inspect(structured(subarray(subarray(int, 2), 2))) (2, 2) int32 # bug ``` ```python >>> inspect(structured(int)) () int32 # bug ``` (#13334) ```python >>> inspect(structured(int, subarray(subarray(int, 2), 2))) TypeError: invalid type promotion ``` ```python >>> inspect(structured()) dts, counts, offsets = zip(*fields) ValueError: not enough values to unpack (expected 3, got 0) ``` A lot of this behavior looks undesirable to me. @ahaldane, which cases were actually intended to be supported? Rather than locking ourselve into some of these weird constucts, we might want to raise an error for anything non-trivial. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Detect changes to LINGUAS file on build As mentioned in https://github.com/mesonbuild/meson/pull/1121#issuecomment-264168074 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Fix %history -f for two-process clients on python2 Saving history has been broken for a while on python2 for the two process terminals. This fixes `history -f myhistfile` which used to cause a traceback complaining about unicode that looked something like this: ``` /home/pi/code/ipython/IPython/core/magics/history.pyc in history(self, parameter_s) 212 if multiline: 213 inline = \"\\n... \".join(inline.splitlines()) + \"\\n...\" --> 214 print(inline, file=outfile) 215 if get_output and output: 216 print(output, file=outfile) TypeError: must be unicode, not str ``` @takluyver should direct me if I should have used a different approach here. Part of the reason I used str_to_unicode is because then this patch can be easily backported to 1.x, though I don't know if we'll be having another one of those releases Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Slow transpilation of ExcitationPreserving Transpilation of `ExcitationPreserving` to basis gates `u1, u2, u3, cx` is extremely slow, so much that it just can't be used. Here is code to demonstrate it: ``` from time import time from qiskit.circuit.library import ExcitationPreserving from qiskit import transpile, Aer sim = Aer.get_backend('qasm_simulator') list_nqubits = [6, 12, 16, 20, 24] for nqubits in list_nqubits: reps = int(nqubits/2) print('ExcitationPreserving(num_qubits=', nqubits, \\ ', reps=', reps, ')', sep='') start = time() circ = ExcitationPreserving(num_qubits=nqubits, reps=reps) print('Construction time:', time()-start, 'seconds') print('Number of instructions:', len(circ.data)) start = time() transpile(circ, sim, basis_gates=['u1', 'u2', 'u3', 'cx'], optimization_level=0) print('Transpilation time:', time()-start, 'seconds') print('') ``` Output on my machine: ``` ExcitationPreserving(num_qubits=6, reps=3) Construction time: 0.0012025833129882812 seconds Number of instructions: 114 Transpilation time: 0.8360486030578613 seconds ExcitationPreserving(num_qubits=12, reps=6) Construction time: 0.0010845661163330078 seconds Number of instructions: 876 Transpilation time: 15.953871726989746 seconds ExcitationPreserving(num_qubits=16, reps=8) Construction time: 0.0016622543334960938 seconds Number of instructions: 2064 Transpilation time: 129.90289759635925 seconds ExcitationPreserving(num_qubits=20, reps=10) Construction time: 0.0025093555450439453 seconds Number of instructions: 4020 Transpilation time: 1177.0042042732239 seconds ExcitationPreserving(num_qubits=24, reps=12) Construction time: 0.00400996208190918 seconds Number of instructions: 6936 Transpilation time: 3988.637136697769 seconds ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: test_testsetup_selection is getting stuck/flaky I find it suspicious that this unit test is lately a case for stuckness in travis first and second build and it might be an indication of some actual problem. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: BackendConfiguration should allow None for gates and basis_gates ### What is the expected enhancement? `BackendConfiguration` needs to allow for `gates = None` and `basis_gates = None` in the model validation in order to allow a pulse-based simulator Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Confusing error message when typo in profile I had a typo in my profile file: ``` includes(cmake_3_16) [build_requires] doxygen/1.8.15@company/stable ``` Where it should have been `include` instead of `includes`. When running Conan, I got the following error message: ``` ERROR: Error reading 'documentation' profile: Error parsing the profile text file: not enough values to unpack (expected 2, got 1) ``` At least I knew that something is wrong with the profile, but the error message was a bit misleading A more helpful message could have been: ``` ERROR: Error reading 'documentation' profile: Error parsing the profile text file: includes is not a valid keyword ``` or something similar. ### Environment Details (include every applicable attribute) * Conan version: 1.24.1 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Text circuit output doesn't understand plotbarriers or reversebits style arguments ### Informations - **Qiskit Terra version**: Latest master - **Python version**: 3.7 - **Operating system**: linux ### What is the current behavior? When calling circuit_drawer(output='text') the style kwarg isn't used at all. So even common arguments that aren't matplotlib specific are not understood. These include the 'reversebits' and 'plotbarriers' options which should be implementable on the text drawer too. ### Steps to reproduce the problem Call circuit_drawer() with the style kwarg and that input has 'reversebits' and/or 'plotbarriers' set. ### What is the expected behavior? The output circuit ascii art circuit will have reversed bit and/or no barriers drawn. ### Suggested solutions There are 2 things here, first we need to add an option to reverse the bits and not draw barriers to the text drawer. Then we need to pass that option to the text drawer. However after writing #1108 I think we should just move plotbarriers and reversebits to kwargs for circuit_drawer() as they should be common options for all backends. The rest of the style dict is just for the matplotlib backend, so I feel we should make all the arguments from the style dict which are used by >=2 backends a top level kwarg. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: volumes: in docker-compose.yml error with invalid type or invalid volume error on Windows Server 2016 TP4 (On Windows Server 2016 TP4) Specifying `volumes:` key in `docker-compose.yml` file gives error of `invalid type, it should be an array` or `Invalid volume specification:` The docker-compose.yml looks like this for the first error: ``` yaml foobar: image: microsoft/iis net: default volumes: c:\\foo:c:\\bar command: cmd /c type Hello ``` **PS C:\\Users\\Administrator\\compose2> docker-compose up -d Validation failed, reason(s): Service 'foobar' configuration key 'volumes' contains an invalid type, it should be an array** ``` yaml foobar: image: microsoft/iis net: default volumes: - c:\\foo:c:\\bar command: cmd /c type Hello ``` **PS C:\\Users\\Administrator\\compose2> docker-compose up -d Creating compose2_foobar_1 Invalid volume spec \"c\": volumeinvalid: Invalid volume specification: 'c'** The command `docker run -v c:/foo:c:/bar --name test1 windowsservercore cmd` works fine and mounts the volume correctly. Here is the version: > PS C:\\Users\\Administrator\\compose2> docker version > Client: > Version: 1.10.0-dev > API version: 1.22 > Go version: go1.5.1 > Git commit: 54733ab > Built: Mon Nov 30 19:27:57 UTC 2015 > OS/Arch: windows/amd64 > > Server: > Version: 1.10.0-dev > API version: 1.22 > Go version: go1.5.1 > Git commit: 54733ab > Built: Mon Nov 30 19:27:57 UTC 2015 > OS/Arch: windows/amd64 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: Release 1.24.0 Last release was December 16, and we've had quite a few enhancements and bug fixes since then. Let's cut a release before we do the repo move. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Allow creation of DeviceSpecification by specifying number of elements. ### What is the expected enhancement? Currently the `DeviceSpecification` must be initialized with a list of `Channel`s. https://github.com/Qiskit/qiskit-terra/blob/8b722d92221ec5988a8d4d922a57c4937c2c6d8a/qiskit/pulse/channels/device_specification.py#L27-L34 We should also provide the ability to initialize but a number of elements. ie., ```python schedule = Schedule(n_qubits=5, memory_slots=5, n_control_channels, n_registers=5) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Remove '_BrokenOperationFuture' workaround `google.cloud.spanner.databse._BrokenOperationFuture` is a subclass of `google.gax._OperationFuture` which attempts to work around the fact that the spanner back-end sometimes returns metadata instead of the expected empty response, which causes the normal future to blow up. Once the back-end is updated to fix this, remove `_BrokenOperationFuture`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: rust executable complains about multiple input filenames ```python logmailer2 = executable('logmailer2', ['logmailer/src/logmailer.rs', 'logmailer/src/main.rs', 'logmailer/src/ses_mailer.rs']) ``` this generates the following error: ``` mqudsi@ZBook /m/c/U/M/g/easyre> ninja -C build ninja: Entering directory `build' [4/7] Compiling Rust source ../logmailer/src/logmailer.rs ../logmailer/src/main.rs ../logmailer/src/ses_mailer.rs. FAILED: rustc --crate-type bin --crate-name logmailer2 -C debuginfo=2 --emit dep-info=logmailer2.d --emit link -o logmailer2 ../logmailer/src/logmailer.rs ../logmailer/src/main.rs ../logmailer/src/ses_mailer.rs error: multiple input filenames provided ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: np.var does not match onp.var in some cases Running this snippet ```python import jax.numpy as np import numpy as onp inp_array = np.array([[[5.29215704-0.30965656j, 1.20047163+1.23179551j, 0+0.43213071j, 6.7226796 +4.36282052j]], [[5.60267397+2.28311318j, 0+0.36502505j, 0 +1j, -0.45407162+1.00102298j]]]) print(np.var(inp_array, 2, dtype=np.float32)) print(onp.var(onp.array(inp_array), 2, dtype=onp.float32)) ``` Prints different outputs for numpy and jax.numpy ``` [[10.911064] [ 6.728332]] [[12.953884] [ 8.079251]] ``` Not sure if there is an actual use case for np.var on complex arrays with dtype=float, but I guess the outputs are supposed to be the same since jax.numpy is supposed to match numpy where it's possible. The mismatch happens because the implementation in NumPy uses dtype for all the calculations, meanwhile, jax.numpy only converts the computed value to dtype in the very end and does all the calculations in the promote_types(complex, dtype=float) which evaluates to complex. If this sounds like something that should be fixed then I can make a PR. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Ability to scale a service I can't help but notice how much the fig.yml format looks like a dotcloud.yml or Procfile! So... how about a \"fig scale\" command? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Job watcher cancel button shows as '...' in chrome ### Information - **Qiskit Terra version**: master - **Python version**: 3.5, ipywidgets-7.4.2 - **Operating system**: mac ### What is the current behavior? For notebooks run both from IQX and local jupyter instance: In Chrome: >>> project.update() Traceback (most recent call last): File \"\", line 1, in File \"/Users/waprin/.virtualenvs/resourcemanager/lib/python2.7/site-packages/google/cloud/resource_manager/project.py\", line 207, in update method='PUT', path=self.path, data=data) File \"/Users/waprin/.virtualenvs/resourcemanager/lib/python2.7/site-packages/google/cloud/_http.py\", line 336, in api_request error_info=method + ' ' + url) google.cloud.exceptions.BadRequest: 400 Request contains an invalid argument. (PUT https://cloudresourcemanager.googleapis.com/v1beta1/projects/purple-spaceship-124) ``` Will likely submit a PR to fix this myself, digging into it, making issue in case I'm doing something silly. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Cannot use resets in a circuit ### Information - **Qiskit Terra version**: latest - **Python version**: - **Operating system**: ### What is the current behavior? ``` ┌─────────┐ ┌─┐ q_0: ┤ unitary ├─|0>─┤M├ └─────────┘ └╥┘ c: 1/═════════════════╩═ 0 ``` gives: ``` ~/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/quantum_info/operators/operator.py in _append_instruction(self, obj, qargs) 526 # cannot compose this gate and raise an error. 527 if obj.definition is None: --> 528 raise QiskitError('Cannot apply Instruction: {}'.format(obj.name)) 529 if not isinstance(obj.definition, QuantumCircuit): 530 raise QiskitError('Instruction \"{}\" ' QiskitError: 'Cannot apply Instruction: reset' ``` even if the backend supports it. The code I am using used to work in previous versions. ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: configure_file: make input kwarg optional if command is specified? I'm using configure_file() in the Gtk+ meson build to generate gresource.xml files based on a bunch of input filenames. This is done by calling a python script and passing the output filename and the input files to it. I wonder if configure_file() really needs to insist on an input kwarg for this case, where `command:` is used? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: `Bit.index` deprecation warning doesn't mention `QuantumCircuit.find_bit` ### Environment - **Qiskit Terra version**: 0.22 - **Python version**: 3.7 - **Operating system**: osx 11.7 ### What is happening? The deprecation warning raised from the `Bit.index` and `Bit.register` [0] tell users to inspect circuit registers to find where each given `Bit` is located, but it is not clear from the message how to do that, or that there exists a convenience method `QuantumCircuit.find_bit` [1] to automate this process. [0] https://github.com/Qiskit/qiskit-terra/blob/c3792f9d20e5307263f513b417262e4cb467172e/qiskit/circuit/bit.py#L61 [1] https://github.com/Qiskit/qiskit-terra/blob/fca8db6b86cba106ed0449a99cd10223899b6145/qiskit/circuit/quantumcircuit.py#L1497 ### How can we reproduce the issue? ```python >>> qc = qk.QuantumCircuit(1) >>> qc.qubits[0].index DeprecationWarning: Back-references to from Bit instances to their containing Registers have been deprecated. Instead, inspect Registers to find their contained Bits. ``` ### What should happen? The deprecation warning should inform users that they can use `QuantumCircuit.find_bit` to cover cases where they would need `Bit.index` and `Bit.register`, and potentially include an example of how to do so. ### Any suggestions? _No response_ Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: When `add_install_script` is used with `./` (curr.dir), the script may fail to run **Describe the bug** When using `meson.add_install_script('./test.sh')`, depending on the directory tree, it may happen that the script could not be run upon running later `ninja install` or `meson install`. **To Reproduce** ``` λ cat test.sh #!/bin/bash echo hello λ ./test.sh # NOTE: the script itself runs fine hello λ cat meson.build project( 'test', ['c'], ) subdir('dir1/dir2/') λ cat dir1/dir2/meson.build meson.add_install_script('./test.sh') λ meson build The Meson build system Version: 0.59.1 Source dir: /tmp/foo Build dir: /tmp/foo/build Build type: native build Project name: test Project version: undefined C compiler for the host machine: ccache cc (gcc 11.1.0 \"cc (GCC) 11.1.0\") C linker for the host machine: cc ld.bfd 2.36.1 Host machine cpu family: x86_64 Host machine cpu: x86_64 Program ./test.sh found: YES (./test.sh) Build targets in project: 0 Found ninja-1.10.2 at /usr/bin/ninja λ DESTDIR=/tmp/ ninja -C build install ninja: Entering directory `build' [0/1] Installing files. Running custom install script './test.sh' FAILED: install script './test.sh' could not be run, stopped FAILED: meson-install /usr/bin/meson install --no-rebuild ninja: build stopped: subcommand failed. ``` **Expected behavior** The last command would succeed **Known Workarounds** With the directory tree here, if script is used as `meson.add_install_script('../../test.sh')`, then there will be no errors upon installation. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build ? Native * OS: Archlinux * Python version: 3.9.6 * `meson --version`: 0.59.1 * `ninja --version`: 1.10.2 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: Fix custom waiter function in AWS provider package ### Apache Airflow Provider(s) amazon ### Versions of Apache Airflow Providers _No response_ ### Apache Airflow version 2.5.0 ### Operating System MacOS ### Deployment Virtualenv installation ### Deployment details _No response_ ### What happened Discussed in #28294 ### What you think should happen instead _No response_ ### How to reproduce _No response_ ### Anything else _No response_ ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Increase backoff to fix monitoring system test Fixes #3739. The max waiting time will be 2 * (1+3+9+27+81) = 242 seconds. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Metric Aggregation ## 🚀 Feature To offer a better metric aggregation I discussed a potential way to go with @SkafteNicki . We agreed on the following: * add a new `aggregated`-property that aggregates the metric over batches. * default ddp-sync to broadcasting + aggregation * add a `reset` function to metrics to reset the internal persistent aggregation state (can be called by user whenever they want; usually on epoch end) in pseudo code the metric workflow will now be: ```python interm_outputs = do_some_first_calc(batch) broadcasted_interm = broadcast(interm_outputs) persistent_state.extend(broadcasted_interm) return aggregate(broadcasted_interm) ``` cc @PyTorchLightning/core-contributors Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Improving recursive Pdb I haven't started looking at it yet, but I'm really suffering a lot from how weak Pdb becomes in recursive mode (`debug stmt`) on Linux at least (readline navigation stops working, etc.) and I'm wondering how hard it would be to IPython-enhance the recursive debugger? Once my suffering increases enough I will do something about it myself but before I go digging I just wanted to check if I'm wasting my time or if there are any low hanging fruit there Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Report which command line variable has wrong value Sometimes projects change the type of a meson option, for example from boolean to feature. Meson then gives an error like this: ``` meson.build:1:0: ERROR: Value \"false\" for combo option is not one of the choices. Possible choices are: \"enabled\", \"disabled\", \"auto\". ``` Which means I have to spend some time figuring out which option changed. Would it be possible to mention which option has a wrong value? For example by changing the first sentence of the error to: _Value \"false\" for combo option **some_option** is not one of the choices._ Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: Upgrade `importlib-resources` version ### Description The version for `importlib-resources` constraint sets it to be [v1.5.0](https://github.com/python/importlib_resources/tree/v1.5.0) which is over a year old. For compatibility sake (for instance with something like Datapane) I would suggest upgrading it. ### Use case/motivation Upgrade a an old dependency to keep code up to date. ### Related issues Not that I am aware of, maybe somewhat #12120, or #15991. ### Are you willing to submit a PR? - [X] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Bigtable: 'test_bigtable_update_cluster' snippet uses too many 'serve_nodes' From: https://source.cloud.google.com/results/invocations/8863d324-c79d-4d07-9964-5889b03fb361/targets/cloud-devrel%2Fclient-libraries%2Fgoogle-cloud-python%2Fpresubmit%2Fbigtable/log The 'test_bigtable_update_cluster' snippet asks to update the cluster to 8 serve nodes, which is too many for our quota when there might be simultaneous runs occuring. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Temporary files in FilesWriter I am not sure if this is a bug or not, but it was unexpected behavior for me, so I figured I'd report it. When using `FilesWriter` with nbconvert, if you are converting multiple notebooks at once that rely on the same set of supplementary files, they do get copied to the build directory, but so do temporary files (one version per extra notebook). For example, if I have the following directory/file structure: ``` $ ls -R .: bar.ipynb files/ foo.ipynb ipython_nbconvert_config.py ./files: file1.txt file2.txt ``` Where `ipython_nbconvert_config.py` is: ``` python from glob import glob c = get_config() c.NbConvertApp.export_format = 'notebook' c.NbConvertApp.notebooks = glob('*.ipynb') c.NbConvertApp.writer_class = 'FilesWriter' c.FilesWriter.build_directory = 'build' c.FilesWriter.files = glob('files/*') ``` Then, if I run nbconvert, the `build/files` directory contains: ``` $ ls build/files/ file1.txt file1.txt-temp-77A5 file2.txt file2.txt-temp-CE50 ``` I traced the root of the problem to `IPython.utils.path.link_or_copy`, which says \"Because `os.link` does not overwrite files, a unique temporary file will be used if the target already exists, then that file will be moved into place.\" That's fine, except it seems like the `os.rename(new_dst, dst)` line isn't actually removing `new_dst` (which is the temporary file). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: add visualization of open controlled gates [mpl drawer] @ewinston says in https://github.com/Qiskit/qiskit-terra/issues/3864: > In PR #3739, open controlled gates were implemented. With that PR a new keyword argument was added to specify the control state, > > `XGate().control(3, ctrl_state=6)` > > This creates a 4 qubit gate where the first three qubits are controls and the fourth qubit is the target where the x-gate may be applied. A `ctrl_state` may alternatively be expressed as an integer string, > > `XGate().control(3, ctrl_state='110')` > > where it is more apparent which qubits are open and closed. In this case when q[0] is open and q[1] and q[2] are closed the x-gate will be applied to q[4]. As a reference https://github.com/Qiskit/qiskit-terra/pull/3867 implements open controlled gates for the text visualizer like this: ```python qr = QuantumRegister(4, 'q') circuit = QuantumCircuit(qr) circuit.append(U2Gate(pi, -5 * pi / 8).control(3, ctrl_state='100'), [qr[0], qr[3], qr[2], qr[1]]) circuit.draw('text') ``` ``` q_0: |0>────────o──────── ┌───────┴───────┐ q_1: |0>┤ U2(pi,-5pi/8) ├ └───────┬───────┘ q_2: |0>────────■──────── │ q_3: |0>────────o──────── ``` The current output for `circuit.draw('mpl')` is:  Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: per-qubit duration in a scheduled circuit ability to inquire the start_time and stop_time of **each qubit** in a circuit that has been scheduled. This is doable in pulse schedules (per channel) and is very useful when trying to find critical paths. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: How should we resolve the fact that we can't make HappyBase create_table() atomic See [comment](https://github.com/GoogleCloudPlatform/gcloud-python/pull/1502#discussion_r53840165). The core issue is that in HBase/Thrift, there is a way to create the table along with the column families all at once while in Cloud Bigtable we have to make 1 create table request and then n create column family requests. If any of those fail then `create_table()` will exit in an \"undefined\" state. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: script magics cause terminal spam since the addition of script magics in cdde5bba8 one gets a _which_ error message outputted to the terminal on each start: e.g. if no python3 is available: ``` $ ipython which: no python3 in (/scratch/jtaylor/progs/localinst/lib/ccache:/scratch/jtaylor/progs/localinst/bin:/scratch/jtaylor/progs/Reflex/software/bin:/usr/lib/qt-3.3/bin:/usr/kerberos/bin:/usr/local/bin:/usr/bin:/bin:/usr/local/sbin:/usr/sbin:/sbin:/home/jtaylor/gasgano/bin:/scisoft/bin:/home/jtaylor/scripts:/scratch/jtaylor/progs/root/bin) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Mapped task names are not grouped on dask / bokeh ## Description *A clear description of the bug* See #2813 for original context. From the 0.12.0 release task names weren't being inferred / passed properly to the dask scheduler. That was fixed for single tasks after #2814 was merged. However after just testing out current git head it seems like mapped tasks are copied over _with_ their index in the name which results in `bokeh` looking like: ``` mapped_task [0] 1/1 mapped_task [1] 1/1 mapped_task[2] 1/1 ... ``` ## Expected Behavior *What did you expect to happen instead?* Previous behavior in 0.11.0 where mapped tasks were all named the same thing and so `bokeh` had a single progress bar for them all. ## Reproduction *A minimal example that exhibits the behavior.* ```python from distributed import Client from prefect import Flow, task from prefect.engine.executors import DaskExecutor @task def add_one(x): return x + 1 with Flow(\"test\") as flow: values = add_one.map(range(10)) cluster = LocalCluster() client = Client(cluster) print(f\"Dashboard available at: {client.dashboard_link}\") flow.run(executor=DaskExecutor(address=cluster.scheduler_address)) ``` ## Environment *Any additional information about your environment* `prefect`: current git head `dask[bag]==2.18.1` `distributed==2.18.0` `bokeh==2.0.2` *Optionally run `prefect diagnostics` from the command line and paste the information here* Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Separator arg warning with meson version >= 0.62.0 **Describe the bug** For a long time, I have used the `separator` kwarg when setting an environment variable in meson. Now, [v0.62.0](https://mesonbuild.com/Release-notes-for-0-62-0.html#new-method-and-separator-kwargs-on-environment-and-mesonadd_devenv) says this is a new feature... A meson.build file that I've been using since before meson version 0.58.0 includes the line: ``` env.append('BAR', '0', separator: ':') ``` This has worked fine before, but after upgrading my meson version to 0.62.1, I now get this warning after running `meson build`: ``` meson.build:4: WARNING: Project targeting '>=0.58.0' but tried to use feature introduced in '0.62.0': separator arg in environment.append. ``` **To Reproduce** 1. With meson >= 0.62.0 installed, take the following meson.build: ``` project('foo', 'c', meson_version: '>=0.58.0') env = environment() env.append('BAR', '0', separator: ':') ``` 2. Run `meson build` 3. See the warning This warning doesn't occur with meson < 0.62.0 **Expected behavior** I would not expect to receive a warning for a \"new\" feature that works with older meson versions. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Update type(...) to import the Type from it's canonical location I missed that in the previous PR but those should likely be : ``` from types import MethodDescriptorType from types import ModuleType ``` _Originally posted by @Carreau in https://github.com/ipython/ipython/pull/14029#discussion_r1180062854_ Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Criptic exception if float used for version in conanfile.py Using Conan `1.5.2`, with the following `conanfile.py`: ``` from conans import ConanFile class FooConan(ConanFile): name = \"foo\" version = 1.0 ``` When running `conan create . foo/bar` it fails with the following criptic exception: ``` Traceback (most recent call last): File \"c:\\program files\\python36\\lib\\site-packages\\conans\\client\\command.py\", line 1219, in run method(args[0][1:]) File \"c:\\program files\\python36\\lib\\site-packages\\conans\\client\\command.py\", line 246, in create test_build_folder=args.test_build_folder) File \"c:\\program files\\python36\\lib\\site-packages\\conans\\client\\conan_api.py\", line 79, in wrapper return f(*args, **kwargs) File \"c:\\program files\\python36\\lib\\site-packages\\conans\\client\\conan_api.py\", line 303, in create reference = ConanFileReference(name, version, user, channel) File \"c:\\program files\\python36\\lib\\site-packages\\conans\\model\\ref.py\", line 57, in _new_ ConanName.validate_name(version, True) File \"c:\\program files\\python36\\lib\\site-packages\\conans\\model\\ref.py\", line 38, in validate_name if ConanName._validation_pattern.match(name) is None: TypeError: expected string or bytes-like object ERROR: expected string or bytes-like object ``` From here it's not clear as to why this exception is thrown. The reason is that the version should be a string, but there is no mention of version in the error, only of the name. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Spanner: Operation_id missing in Spanner's Database.update_ddl method Library: google_cloud_spanner v. 1.6.1 We seem to miss operation_id in spanner_v1 of database.update_ddl(). It looks like the Spanner HTTP API supports operation_id: https://cloud.google.com/spanner/docs/reference/rest/v1/projects.instances.databases/updateDdl GoogleAPI docs mention that Spanner's database.update_ddl() supports operation_id: https://googleapis.github.io/google-cloud-python/latest/spanner/database-usage.html#update-an-existing-database. Wy use (from pypi) google_cloud_spanner v. 1.6.1: This seems to be the latest released version (Released 10 Nov 2018). In the code of the library's Database object - contrary to the documentation there is no operation_id parameter in update_ddl statement and the operation_id seems to be hard-coded to “” in the actual API call: https://github.com/googleapis/google-cloud-python/blob/master/spanner/google/cloud/spanner_v1/database.py#L257 Is it intended? How else can we use operation_id Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: conda config stack trace when can't write config file This situation should be handled nicer. `conda config` doesn't have permission to write the config file. Thanks. ``` An unexpected error has occurred, please consider sending the following traceback to the conda GitHub issue tracker at: https://github.com/conda/conda/issues Include the output of the command 'conda info' in your report. Traceback (most recent call last): File \"/opt/anaconda/bin/conda\", line 5, in sys.exit(main()) File \"/opt/anaconda/lib/python2.7/site-packages/conda/cli/main.py\", line 179, in main args.func(args, p) File \"/opt/anaconda/lib/python2.7/site-packages/conda/cli/main_config.py\", line 339, in execute with open(rc_path, 'w') as rc: IOError: [Errno 13] Permission denied: '/opt/anaconda/.condarc' ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Fixed #5 - Adding support for Google Cloud Storage A few things still remaining, but I think we're OK even without these... - #11 - Streaming HTTP library - #12 - Lifecycle management of buckets - #15 - Batch requests - #17 - Versioning of objects - #18 - Logging of buckets @proppy : Thoughts? Big query TIMESTAMP field off by factor of 1000 Using master branch. In BigQuery TIMESTAMP fields are off by a factor of 1000 when using fetch_data. See my in-line comment - https://github.com/GoogleCloudPlatform/gcloud-python/commit/41e64395661a31af8352fb2358e5c95ff5437830#diff-c56e349a3e511bfabb4e8dfcfe686bc8R739 Upgrading version to 0.6.0. Using last release PR (#813) as a template. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Error reporting: needs 'synth.py' Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Add support for loading flattened meta_tags.csv ## 🚀 Feature ### Motivation PL+TensorBoard can log hierarchical dict after #1152, however, `meta_tags.csv` has been disabled by the change. ### Pitch - Make `meta_tags.csv` back to a hierarchical dict based on their delimiter. ### Alternatives 62de7948634b1cd8c7e494f4cd9a02625cd3f602 ### Additional context 1. We can consider the deprecation of `meta_tags.csv`, then adopt `config.yaml`. 1. We can interpret primitive-type parameters through the files, so it is needed to rethink parameter sanitization or update docs. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: clean up transpile to make faster (parallel) This is a follow-on to #1134 and #1144 and #1032 should be made on this after we have done the other two issues. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Making stdin optional when creating new kernels It would be useful for the `ExecutePreprocessor` (and other things that want to automatically run notebooks on the fly) to be able to easily disable `stdin` -- otherwise, if there is something like a call to `input`, it causes the preprocessor to just hang and eventually time out. I think this would just involve adding a new kwarg to this function: https://github.com/ipython/ipython/blob/master/IPython/kernel/manager.py#L417 and then calling `kc.start_channels(stdin=stdin)`, where `stdin` is whatever value that was passed in (True by default). Questions: 1. Is there some other way to do this that I missed? 2. If not, does this change sound ok? If so, I'll go ahead and make a PR for it and add an option to disable stdin to the `ExecutePreprocessor` as well. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] exporting/creating a package without user channel when other exists ```bash $ conan export . pkg/0.1@user/channel $ conan export . pkg/0.1@ # Fails ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: AttributeError: module 'typing' has no attribute 'NoReturn' > def get_search_args(self, dirname: str) -> typing.NoReturn: > > AttributeError: module 'typing' has no attribute 'NoReturn' According to: https://github.com/marshmallow-code/webargs/issues/366#issuecomment-459991329 it was fixed in python 3.5.4rc1. They replaced the typing expression with a string. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: Documentation for passing in trees I would like to pass a dictionary through a vmap. I made an attempt to understand https://jax.readthedocs.io/en/latest/notebooks/JAX_pytrees.html but couldn't figure out if this is something I need to understand or not? `vmap(loss, [None, 0, 0])(dictionary, X[i:i+batch], y[i:i+batch])` `vmap(loss, [None, 0, 0])(tree_flatten(dictionary), X[i:i+batch], y[i:i+batch])` `vmap(loss, [tree_flatten(dict_none), 0, 0])(tree_flatten(dictionary), X[i:i+batch], y[i:i+batch])` Either way I get an issue like this: ``` ValueError: Expected list, got (([, , , , , ], ), , ). During handling of the above exception, another exception occurred: ValueError Traceback (most recent call last) /usr/local/lib/python3.6/dist-packages/jax/api.py in _flatten_axes(treedef, axis_tree) 714 msg = (\"axes specification must be a tree prefix of the corresponding \" 715 \"value, got specification {} for value {}.\") --> 716 raise ValueError(msg.format(axis_tree, treedef)) 717 axes = [None if a is proxy else a for a in axes] 718 assert len(axes) == treedef.num_leaves ValueError: axes specification must be a tree prefix of the corresponding value, got specification [([], PyTreeDef(dict[['dense1', 'dense2', 'dense3']], [PyTreeDef(dict[[]], []),PyTreeDef(dict[[]], []),PyTreeDef(dict[[]], [])])), 0, 0] for value PyTreeDef(tuple, [PyTreeDef(tuple, [PyTreeDef(list, [*,*,*,*,*,*]),*]),*,*]). ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Meson rebuilds everything on meson.build file change Hi, Meson seems to rebuild every obj file on any meson.build change (even touch). That's not a Ninja issue as CMake+Ninja does not have this behaviour. Does Meson internally store build informations, to know which targets need rebuild ? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: problems with `zeroed_width` argument in `pulse.continuous` There seems to be some issues with initial/final discontinuity in some pulses in the pulse library. ```python g_disc = discrete.gaussian(duration=240, amp=0.1, sigma=80) g_disc.draw(scaling=0.2) ```  ```python g_disc = discrete.gaussian_square(duration=240, amp=0.1, sigma=15, risefall=20) g_disc.draw(scaling=0.2) ```  Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: incorrect typehint for PreTrainedTokenizer.convert_ids_to_tokens() return value # 🐛 Bug ## Information The return value of `tokenization_utils.PreTrainedTokenizer.convert_ids_to_tokens()` is declared as `Union[int, List[int]]` while the method clearly returns a `Union[str, List[str]]` object type. Would you like me to open a PR? ;) Thanks for the great work! Andreas PS: Excuse me for skipping my system specs since this is a rather small issue and I'm just a bit annoyed by PyCharm's inspection warning on this ;) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: default language is 'cs' on almost empty project **Describe the bug** Meson seems to think that a project with just a COPYING and a README.md file is a C# project **To Reproduce** create a directory in `/tmp/aa` with the following files only: README.md ``` # title Paragraph ``` COPYING ``` test ``` then do `meson init .` and the language meson uses is `'cs'`: ``` Using \"aa\" (name of current directory) as project name. Using \"aa\" (project name) as name of executable to build. Detected language: cs Generated meson.build file: project('aa', 'cs', version : '0.1', default_options : ['warning_level=3']) executable('aa', '.', install : true) ``` **Expected behavior** Since no language is currently used in the project use the default (`'c'`) **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? N/A * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.) Parabola (Arch Linux based) * what Python version are you using Python 3.9.5 * what `meson --version` 0.58.1 * what `ninja --version` if it's a Ninja build 1.10.2 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: meson test fails if LANG variable contains characters not valid in the current locale To reproduce: Add an environment variable with an accent: `export BLOB=éêà` Set LANG to a something that doesn'T contain the characters `export LANG=POSIX` Run meson test `meson test -C build/` See surrogates error: ``` root@276e4c1f828a libnice]# meson test -C build/ ninja: Entering directory `/root/libnice/build' ninja: no work to do. Traceback (most recent call last): File \"/opt/rh/rh-python36/root/usr/lib/python3.6/site-packages/mesonbuild/mesonmain.py\", line 111, in run return options.run_func(options) File \"/opt/rh/rh-python36/root/usr/lib/python3.6/site-packages/mesonbuild/mtest.py\", line 805, in run return th.doit() File \"/opt/rh/rh-python36/root/usr/lib/python3.6/site-packages/mesonbuild/mtest.py\", line 555, in doit self.run_tests(tests) File \"/opt/rh/rh-python36/root/usr/lib/python3.6/site-packages/mesonbuild/mtest.py\", line 686, in run_tests self.open_log_files() File \"/opt/rh/rh-python36/root/usr/lib/python3.6/site-packages/mesonbuild/mtest.py\", line 656, in open_log_files self.logfile.write('Inherited environment: {}\\n\\n'.format(inherit_env)) UnicodeEncodeError: 'utf-8' codec can't encode characters in position 1658-1659: surrogates not allowed ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: do final cleanup for 4.4 release Make sure any pieces of code that need to be migrated are in the correct places and locked down for 4.4. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: nbconvert does not respect line breaks in markdown cells I can see how the conversion of ipynb files to markdown and/or latex (using nbconvert) would be extremely useful for gathering comments stored in many ipython notebooks to begin writing a paper. Unfortunately, the utility does not respect the newline characters stored in .ipynb file. When composing a latex document (especially when using git to track changes), it is extremely useful to adopt a one sentence per line convention. This renders diffs with alternate versions easily readable and the document easily searchable, since there are no unexpected line breaks. While the ipynb format does properly store linebreaks as entered, nbconvert clobbers this information by inserting linebreaks wherever it determines is best to maintain uniform line length in the output file. These changes are of course invisible in the final view of the TeX'ed up document or rendered markdown document, but they destroy the ability to usefully track changes on the markdown or latex source files. Is there a flag to disable this behavior? If not, is adding such a flag or replacing the default behavior a possiblity? Thanks! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: conan doesn't supply -m32/-m64 to CMake in case of MinGW To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. as for conan 1.0.2, conan doesn't supply flags -m32/-m64 to the CMake helper in case of MinGW (e.g. when using mingw_installer/1.0@conan/stable). see this log as an example https://ci.appveyor.com/project/BinCrafters/conan-lzma/build/1.0.29 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Estimator fails when reused ### Environment - **Qiskit Terra version**: 0.22 - **Python version**: 3.9 - **Operating system**: Linux ### What is happening? Estimated value can be incorrect when using an Estimator for different observables. ### How can we reproduce the issue? Run this code. Uncomment the Estimator in the loop to see the alternating values it should produce ``` from qiskit.opflow.primitive_ops import PauliSumOp from qiskit.primitives import Estimator from qiskit.circuit import QuantumCircuit qc = QuantumCircuit(4) qc.ry(3, 0) qc.rz(1.1, 0) qc.cx(0, 1) qc.h(1) qc.cx(1, 2) qc.rx(1.2, 2) qc.rz(2.1, 3) qc.cx(3, 0) num_ops = 2 def get_op(num_op): if num_op == 0: op = PauliSumOp.from_list( [ (\"IXIX\", 6.727086146309219), (\"IXZX\", -0.727086146309219), (\"ZXZX\", -1.727086146309219), (\"ZXIX\", 1.727086146309219), ] ) else: op = PauliSumOp.from_list( [ (\"ZXIX\", 0.727086146309219), (\"ZXZX\", -0.727086146309219), (\"IXZX\", -0.727086146309219), (\"IXIX\", 0.727086146309219), ] ) return op estimator = Estimator() for j in range(10): # estimator = Estimator() num_op = j % num_ops job = estimator.run([qc], [get_op(num_op)]) value = job.result().values[0] print(value) ``` ### What should happen? It should give the right values ### Any suggestions? This is related to #8725 which cached and matched circuits by id(). The estimator is still doing this for observables and causes issues if Python reuses an id for different operator content. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add 'user_project' support for bucket notification methods #4127 (just merged) adds the new `storage.notification.BucketNotification` class. Once #4056 (`requester_pays` buckets, `user_project` API requests) merges, we need to add `user_project` support to the new `BucketNotfication` API wrapper methods. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: [QUESTION] What is the point of `google.cloud.vision._fixtures` Sorry for being a little out of the loop on this one. Running `git grep _fixtures` it looks like `google.cloud.vision._fixtures` meant to be content in `unit_tests.vision._fixtures` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Stop containers that have been removed from docker-compose.yml Apologies if this is covered somewhere, but I wasn't able to find anything. The new `--x-smart-recreate` is working really nicely for changes to running containers and new containers, but if I remove a container from container from the YAML definition it just stays running. It'd be fantastic to support automatic removal if that's at all possible. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Question: Where are c_std and cpp_std flags logged? I run `ninja -v -C builddir` command and didn't see any `-std=c89` or `std=c++14` flags in output of two separate projects. Aren't those commands supposed to be logged as well? By the way, this is what is inside `compile_commands.json` file of my C project; I'm beautifying it for reading purposes: ```json [ { \"directory\": \"/home/stefanos/tmp/c_projects/dokimi/builddir\", \"command\": \"ccache cc -Idemo@exe -I. -I.. -I../include -fdiagnostics-color=always -pipe -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Wextra -Wpedantic -O0 -g -MD -MQ 'demo@exe/src_main.c.o' -MF 'demo@exe/src_main.c.o.d' -o 'demo@exe/src_main.c.o' -c ../src/main.c\", \"file\": \"../src/main.c\" } ] ``` Is this the expected behavior? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Reapply \"Performance improvement for Collect2qBlocks\" (#6534) ### What is the expected enhancement? Right before the 0.18.0 release we reverted #6534 as it was causing a nondeterministic CI failure for one test (see #6686 for more details). After the 0.18.0 release goes out and #6685 merges we should push a revert of the revert PR and reapply #6534 and get to the bottom of the failures since the performance improvement was good (and it also enables follow-on improvements leveraging retworkx in #6680). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: LLVM dependency injects system libs `llvm-config --libs --ldflags`, as used for dependency('llvm'), contains system library paths at least on Fedora. Since it's not using pkg-config, and we don't have the special 'drop system include/library paths which are there anyway' magic, this places the system libraries higher in the link search path than they otherwise should be, which can break builds. Assuming upstream are going to continue to not be helpful wrt llvm-config, we might perhaps have to strip it ourselves. An incredibly dumb filter to remove, e.g., '-L/usr/lib64' and '-L/usr/lib' should be enough for most uses, I'd imagine. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: conda can try to use a missing temporary file when `repodata.json` was not found, and `{}` was returned instead ### Checklist - [X] I added a descriptive title - [X] I searched open reports and couldn't find a duplicate ### What happened? The new RepodataFetch feature tries to replace the index file with a temporary file, for locking reasons, in gateways/repodata/RepodataFetch.fetch_latest(). However the underlying RepoInterface might not write to that file e.g. when it returns {} in place of a 404 or possibly in \"offline\" mode (which uses the cache even when it would normally be expired). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: _repr_html_ exception reporting corner case when using type(foo) @michaelaye reported this in https://github.com/pydata/pandas/issues/6225, but it seems to be an ipython issues, resulting from the recent https://github.com/ipython/ipython/pull/4745. ``` python In [11]: class Foo(object): ...: def _repr_html_(self): ...: return \"Me\" ...: x=Foo() In [12]: type(x) /home/user1/src/ipython/IPython/core/formatters.py:199: FormatterWarning: Exception in text/html formatter: unbound method _repr_html_() must be called with Foo instance as first argument (got nothing instead) FormatterWarning, ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add `jinja2` as a requirement `jinja2` is serendipitously installed w/ `[dev]`, but not so with a standard prefect install! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [Fix] Remove \"namespace\" argument from CMakeToolchain Since 1.47, generating the CMakePresets.json file, it is not used anymore. Also from the CMake() build helper Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: (google-cloud-vision) enum34 should not be installed on Python 3.4+ The enum34 breaks my code (python3.6), it is a known issue that enum34 doesn't work on Python 3.4+ Please refer to the discussion over here: [https://bitbucket.org/stoneleaf/enum34/issues/5/enum34-incompatible-with-python-35#comment-19462547](https://bitbucket.org/stoneleaf/enum34/issues/5/enum34-incompatible-with-python-35#comment-19462547) suggested fix in vision/setup.py ```python REQUIREMENTS = [ - 'enum34', 'google-cloud-core >= 0.24.0, < 0.25dev', 'gapic-google-cloud-vision-v1 >= 0.90.3, < 0.91dev', ] +if sys.version_info < (3, 4): + # Backport of Python 3.4 enums to earlier versions + REQUIREMENTS.append('enum34') setup( name='google-cloud-vision', version='0.24.0', description='Python Client for Google Cloud Vision', long_description=README, namespace_packages=[ 'google', 'google.cloud', ], packages=find_packages(exclude=('tests*',)), install_requires=REQUIREMENTS, **SETUP_BASE ) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: make stdout/stderr capture in python_api customizable Let the user customize how and if the standard output/error streams should be captured. make stdout/stderr capture in python_api customizable Let the user customize how and if the standard output/error streams should be captured. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Pubsub unit test hangs intermittently See: https://circleci.com/gh/GoogleCloudPlatform/google-cloud-python/6432 ``` if [[ -n $(grep pubsub ~/target_packages) ]]; then nox -f pubsub/nox.py fi nox > Running session default nox > virtualenv /var/code/gcp/.nox/default nox > chdir /var/code/gcp/pubsub nox > pip install --upgrade mock pytest pytest-cov ../api_core ../core nox > pip install --upgrade -e . nox > py.test --quiet --cov-append --cov-report= --cov=google.cloud.pubsub --cov=google.cloud.pubsub_v1 --cov-config=.coveragerc tests/unit ........................................................................ [ 28%] ........................................................................ [ 57%] ........................................................................ [ 86%] .................................. [100%] 250 passed in 4.14 seconds nox > Session default successful. :) nox > Running session unit(py='2.7') nox > virtualenv /var/code/gcp/.nox/unit-2-7 -p python2.7 nox > chdir /var/code/gcp/pubsub nox > pip install --upgrade mock pytest pytest-cov ../api_core ../core nox > pip install --upgrade -e . nox > py.test --quiet --cov-append --cov-report= --cov=google.cloud.pubsub --cov=google.cloud.pubsub_v1 --cov-config=.coveragerc tests/unit ........................................................................ [ 28%] ...............................................................Too long with no output (exceeded 10m0s) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Generate markdown files from docstrings for documentation Need to have a process from generating markdown files from the docstrings in order to make documentation for the prefect library. The markdown files will then be loaded into the static site with vuepress Some options: https://github.com/NiklasRosenstein/pydoc-markdown https://github.com/coldfix/doc2md Automatically build docs in CI Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: [pubSub] tell when to use subscription.reload() The [api docs](https://github.com/GoogleCloudPlatform/google-cloud-python/blob/master/pubsub/google/cloud/pubsub/subscription.py#L217) don't mention when one should use this api (when is my local config out of sync), e.g. is there are exception I should react to? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Calling 'job.begin' on job returned from 'Table.upload_from_file' raises a 400 Trying to load data into bigquery with `upload_from_file` returns a 400. Sample code: ``` python def load_data_from_file(dataset_name, table_name, source_file_name): bigquery_client = bigquery.Client() dataset = bigquery_client.dataset(dataset_name) table = dataset.table(table_name) # Reload the table to get the schema. table.reload() with open(source_file_name, 'rb') as source_file: # This example uses CSV, but you can use other formats. # See https://cloud.google.com/bigquery/loading-data job = table.upload_from_file( source_file, source_format='text/csv') job.begin() wait_for_job(job) print('Loaded {} rows into {}:{}.'.format( job.output_rows, dataset_name, table_name)) ``` Error: ``` Traceback (most recent call last): File \"load_data_from_file.py\", line 77, in args.source_file_anme) File \"load_data_from_file.py\", line 45, in load_data_from_file job.begin() File \"/Users/jonwayne/workspace/python-docs-samples/bigquery/cloud-client/env/lib/python3.4/site-packages/gcloud/bigquery/job.py\", line 364, in begin method='POST', path=path, data=self._build_resource()) File \"/Users/jonwayne/workspace/python-docs-samples/bigquery/cloud-client/env/lib/python3.4/site-packages/gcloud/connection.py\", line 347, in api_request error_info=method + ' ' + url) gcloud.exceptions.BadRequest: 400 Load configuration must specify at least one source URI (POST https://www.googleapis.com/bigquery/v2/projects/python-docs-samples-tests/jobs) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Don't plot pulse table by default ### What is the expected enhancement? Currently when plotting a plot schedule with `Schedule.draw` the option `table` is true by default. This should be switched to false. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: [PIN-3] Create base Prefect Docker image Minimal image w/ Prefect installed and its dependencies [PIN-3](https://docs.prefect.io/PINs/PIN-3-Agent-Environment.html) [PIN-3] Create LocalOnKubernetes Environment [PIN-3](https://docs.prefect.io/PINs/PIN-3-Agent-Environment.html) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: @BASENAME@ and @PLAINNAME@ not supported as generator arguments Considering the following meson.build line ``` generator(glsl2h, output: '@PLAINNAME@.h', arguments: ['@INPUT@', '@OUTPUT@', '@PLAINNAME@']) ``` I would expect the third argument to the generator to be the name of the input file but it is just the string `@PLAINNAME@`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: docker-compose.exe up: UnicodeDecodeError: 'ascii' codec can't decode byte 0xe4 in position 10: ordinal not in range(128) docker-compose returned -1 I'm getting following error while trying to do docker-compose up on Windows 10 machine: ``` docker-compose.exe up Traceback (most recent call last): File \"\", line 3, in File \"compose\\cli\\main.py\", line 61, in main File \"compose\\cli\\main.py\", line 110, in perform_command File \"compose\\cli\\command.py\", line 35, in project_from_options File \"compose\\cli\\command.py\", line 102, in get_project File \"compose\\config\\config.py\", line 319, in load File \"compose\\config\\config.py\", line 409, in load_services File \"compose\\config\\config.py\", line 388, in build_services File \"compose\\config\\config.py\", line 373, in build_service File \"compose\\config\\config.py\", line 612, in process_service File \"compose\\config\\config.py\", line 856, in resolve_volume_paths File \"compose\\config\\config.py\", line 866, in resolve_volume_path File \"ntpath.py\", line 311, in expanduser UnicodeDecodeError: 'ascii' codec can't decode byte 0xe4 in position 10: ordinal not in range(128) docker-compose returned -1 ``` Should be the latest release: ``` docker-compose.exe version docker-compose version 1.8.0, build d988a55 docker-py version: 1.9.0 CPython version: 2.7.11 OpenSSL version: OpenSSL 1.0.2d 9 Jul 2015 ``` It's probably caused by my username, it contains character \"ä\". There are many similar issues, but they seem to be fixed, but not for me unfortunately. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: [trainer] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters When running DDP: ``` rm -r /tmp/test-clm; CUDA_VISIBLE_DEVICES=0,1 python -m torch.distributed.launch --nproc_per_node 2 \\ run_clm.py --model_name_or_path gpt2 --dataset_name wikitext --dataset_config_name wikitext-2-raw-v1 \\ --do_train --output_dir /tmp/test-clm --per_device_train_batch_size 4 --max_steps 200 ``` I get: > [W reducer.cpp:1050] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters, consider turning this flag off. Note that this warning may be a false positive your model has flow control causing later iterations to have unused parameters. (function operator()) but it's not possible to turn it off from the trainer. i.e. it's hardwired. @sgugger Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Support control flow in `ConsolidateBlocks` ### What should we add? Part of #9417. Depends on #9425. Will interact with other efforts in #8779. The `ConsolidateBlocks` pass is run by default at optimisation level 3, and (albeit very uncommon in practice) is used by the `synthesis` routing method at all levels. This currently cannot support control-flow, primarily because the data format it reads has no way of representing that knowledge. Once a solution to #9425 is in place, this pass should be upgraded to use that information, and enter control-flow blocks where appropriate. The implementation of the control-flow parts of this will likely end up looking quite similar to that of `CommutativeCancellation`: see #9423. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Opt-in skip broken symlinks check packaging We need to package directories with broken symlinks. We are trying to package yocto sdk and we didn't manage to fix them or remove them, because the sdk stops working. So we would need something like `CONAN_SKIP_BROKEN_SYMLINKS_CHECK` to remove the check in `manifest.py` line 39 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: `print stuff,` should avoid newline In an IPython interpreter: ``` py In [4]: print 1, 1 In [5]: print 1 1 In [6]: print 1,; print 2 1 2 ``` In a regular Python interpreter: ``` py >>> print 1, 1 >>> print 1 1 >>> print 1,;print 2 1 2 ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Windows: regression in cd magic handling of paths A. In 0.10.2, the user could copy a path from elsewhere, and paste it after cd magic, backslashes and all: ``` cd c:\\Users\\myname ``` In 0.11, this fails: SyntaxError: (unicode error) 'rawunicodeescape' codec can't decode bytes in position 5-6: truncated \\uXXXX... No form of quoting (including raw) seems to help. For manual path entry, forward slashes or double backslashes work, but for copy/paste this is a regression. B. In 0.10, tab completion of quoted paths with spaces worked a bit (Tabbing immediately after a space, it failed, but then tabbing after a subsequent nonspace it worked again.) AFAICT in 0.12 there is no way to get tab completion of paths with spaces (quoted or not) working following a space character. C. In 0.10, %cd could recognize paths which included spaces, quoted or unquoted. Not so in 0.12, which requires quotes. Arguable whether this is a troublesome regression or a logical improvement. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: Fargate checks fails when there are stopped containers in the task I'm running the agent as a sidecar in a Fargate task as described [here](https://www.datadoghq.com/blog/monitor-aws-fargate/). The fargate check continuously fails with the following error: ```text [ AGENT ] 2018-07-27 06:30:33 UTC | ERROR | (runner.go:277 in work) | Error running check ecs_fargate: [{\"message\": \"'NoneType' object has no attribute '__getitem__'\", \"traceback\": \"Traceback (most recent call last): File \\\"/opt/datadog-agent/embedded/lib/python2.7/site-packages/datadog_checks/checks/base.py\\\", line 303, in run self.check(copy.deepcopy(self.instances[0])) File \\\"/opt/datadog-agent/embedded/lib/python2.7/site-packages/datadog_checks/ecs_fargate/ecs_fargate.py\\\", line 126, in check self.rate('ecs.fargate.cpu.system', container_stats['cpu_stats']['system_cpu_usage'], tags) TypeError: 'NoneType' object has no attribute '__getitem__'\"}] ``` After some investigation I found that the ecs stats endpoint returns stopped containers stats as `null`. I use a volume in the task and Fargate creates a `~internal~ecs-emptyvolume-source` container that is immediately stopped, causing an stats entry with the container id but no stats. The agent then fails to handle the null vaule. This applies not just to volumes but any container that is stopped. For example a container that runs a command and exits 0. You can see an example of the `metadata` and `stats` output [here](https://gist.github.com/zlangbert/41540dd857dbbb35ba6831d32f95968b). **Additional environment details (Operating System, Cloud provider, etc):** AWS Fargate platform version 1.1.0 **Additional information you deem important (e.g. issue happens only occasionally):** This is related to support ticket 156356 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Release spanner-1.3.0 The only real item is the new `COMMIT_TIMESTAMP` constant (PR #5102). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add classical predecessors and successor methods to `DAGCircuit` API ### What should we add? In the DAGCircuit api there are 2 methods to get the quantum predecessors and successors of a node in the DAG. However, there are not matching methods available to follow the classical wires. There are some cases where it's good to be able to traverse the graph on classical bits (see: https://github.com/Qiskit/qiskit-terra/commit/1575b8ad123f0353a7474b3ab32e2613a0498a04#diff-df5e0c6b04d9ea56420653f11b66b75d78856b979e1e43abe8cf4e1b78ed9a4aR2446 for one such example). So we should add matching `DAGCircuit.classical_predecessors` and `DAGCircuit.classical_successors` methods to enable doing this without having to go to the inner graph object directly. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Environment variables need to be better `FIGTEST_REDIS_1_PORT_6379_TCP_ADDR` This is ridiculous. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add Buffers to pulse channels ### What is the expected enhancement? Pulse channels should have a `buffer`. Append command should obey buffer. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: [elastic] delayed_unassigned_shards should be included in CLUSTER_HEALTH_METRICS The current version of the elastic integration does not collect the delayed_unassigned_shards metric from _cluster/health. The delayed_unassigned_shards metric is useful for tracking how shards are handled after a node leaves the cluster. This page describes delayed allocation: https://www.elastic.co/guide/en/elasticsearch/reference/current/delayed-allocation.html Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Linter warning for conan_data The linter complains when accesing `self.conan_data`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: DB-API is very slow DB-API is very slow. google-cloud-bigquery version: 1.19.0 ```python from datetime import datetime from google.cloud import bigquery from google.cloud.bigquery import dbapi client = bigquery.Client() conn = dbapi.Connection(client) curr = conn.cursor() start = datetime.now() QUERY = \"\"\"SELECT name FROM `bigquery-public-data.usa_names.usa_1910_2013` LIMIT 100\"\"\" query_job = client.query(QUERY) query_job.result() print('API', datetime.now() - start) start = datetime.now() curr.execute(QUERY) result = curr.fetchall() print('DB-API', datetime.now() - start) ``` Output ``` API 0:00:01.623182 DB-API 0:01:36.157141 ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add ECS agent Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: No good way to define pass manager for use in transpile ### What is the expected enhancement? Supposed I want to write a pass manager that can be used for any input circuit or backend, for example, and can be simply passed to `transpile`, e.g. `transpile(qc, backend, pass_manager=my_pass_manager)` I do not think that there is actually a way to do this without doing additional work in building `TranpileConfig` for initializing the PM, or just directly setting the properties upon construction. Instead, it would be nice if `pass_manager` could take a function, for example, that uses the internally computed `TranspileConfig` to initialize a PM (just like the preset ones do). Then a user defined pass_manager could be simply imported like any other function, and just passed to `transpile` with no additional work required. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: process monitor throws warnings on postgresql: Warning: Process 123 disappeared while scanning process monitor throws warnings on postgresql: Warning: Process 123 disappeared while scanning process ------- - instance #0 [OK] - instance DataDog/dd-agent#1 [WARNING] Warning: Process 16039 disappeared while scanning Warning: Process 16177 disappeared while scanning Warning: Process 16178 disappeared while scanning Warning: Process 16193 disappeared while scanning Warning: Process 16194 disappeared while scanning Warning: Process 16198 disappeared while scanning ``` Warning: Process 15830 disappeared while scanning Warning: Process 15844 disappeared while scanning - instance DataDog/dd-agent#2 [OK] - instance DataDog/dd-agent#3 [OK] - instance DataDog/dd-agent#4 [OK] - instance DataDog/dd-agent#5 [OK] - instance DataDog/dd-agent#6 [OK] - instance DataDog/dd-agent#7 [OK] - instance DataDog/dd-agent#8 [OK] - instance DataDog/dd-agent#9 [OK] - Collected 43 metrics, 0 events & 11 service checks ``` Is is perfectly normal for postgresql to start and stop processes, and I see no reason why datadog would have to complain about that. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: conda install --dry-run with certain options will really install I just executed: ``` bash sudo -u wakari /opt/wakari/anaconda/bin/conda install --no-deps --offline -p /opt/wakari/anaconda --dry-run `cat ~/.py27_packages.txt` ``` And this command then went and installed the packages. This might be related to #1317 conda install --dry-run with certain options will really install I just executed: ``` bash sudo -u wakari /opt/wakari/anaconda/bin/conda install --no-deps --offline -p /opt/wakari/anaconda --dry-run `cat ~/.py27_packages.txt` ``` And this command then went and installed the packages. This might be related to #1317 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: %run modules clobber each other I have used %run to define functions from two different importable modules in the same notebook (I know, I should use import, but %run is really convenient when you're still changing the file). When I %run each, it seems to clobber the other, so when I call the function from that one, it gives me NameErrors (not for the function itself, but for things referenced in the function). Also, the traceback goes a bit funny - e.g. when I call `violin_plot()` from `violinplot.py`, having run `average.py` more recently, it says that the stack frame is in `...scripts/average.py in violin_plot(data1, classes, data2, **kwargs)`. I suspect that the problem is in the machinery that caches module namespaces. And I have a feeling that I'm the last one to have delved into that, so I'll try to investigate it at some point. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the dagster-io/dagster codebase. Here's the problem: in built-in object IO managers, handle loading objects for multiple partitions If a daily asset depends on an hourly asset, then each partition of the daily asset will correspond to 24 partitions of the hourly asset. When materializing the daily asset and `load_input` is called to load the contents of the hourly asset, we should return the contents of those 24 partitions. For the Pandas type handler of the Snowflake IO manager, we handle this by returning a single dataframe that contains the concatenated contents of all the hourly partitions. For the built-in object store IO managers, we could just return a list of the pickled objects. Or potentially a dictionary keyed by partition? What we've heard: - 2022-10-20: https://dagster.slack.com/archives/C01U954MEER/p1666175125167899 Here's a start on the implementation: ```python from dagster import io_manager, IOManager, AssetKey @io_manager def my_io_manager(): return MyIOManager() class MyIOManager(IOManager): def handle_output(self, context, obj): ... def _load(self, asset_key: AssetKey): ... def _load_partition(self, asset_key: AssetKey, partition_key: str): ... def load_input(self, context): if context.has_asset_partitions: partition_key_range = context.asset_partition_key_range if partition_key_range.start == partition_key_range.end: return self._load_partition(context.asset_key, partition_key_range.start) else: return [ self._load_partition(context.asset_key, partition_key) for partition_key in context.asset_partition_keys ] else: return self._load(context.asset_key) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Core docs language https://docs.prefect.io/core/ In a few places the Core docs mention that Cloud is coming soon, and I believe the language should be updated. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: 'MT5Tokenizer' is not defined (on Google colab) ## Environment info - `transformers` version: `transformers-4.9.0.dev0` - Platform: Google Colab - Python version: `3.7.10` - PyTorch version (GPU?): `1.9.0+cu102` - Tensorflow version (GPU?): `2.5.0` - Using GPU in script?: No - Using distributed or parallel set-up in script?: No ### Who can help @sgugger , @patil-suraj ## Information Trying to run_mlm.py - The problem arises when using: - Just importing packages. ## To reproduce Steps to reproduce the behavior: 1. Run the following on Google colab 2. ``` !pip install git+https://github.com/huggingface/transformers.git from transformers import ( CONFIG_MAPPING, MODEL_FOR_MASKED_LM_MAPPING, AutoConfig, AutoModelForMaskedLM, AutoTokenizer, DataCollatorForLanguageModeling, HfArgumentParser, Trainer, TrainingArguments, set_seed, ) ``` Error message - ``` --------------------------------------------------------------------------- NameError Traceback (most recent call last) in () 2 3 ----> 4 from transformers import ( 5 CONFIG_MAPPING, 6 MODEL_FOR_MASKED_LM_MAPPING, 5 frames /usr/local/lib/python3.7/dist-packages/transformers/models/mt5/__init__.py in () 94 globals()[\"__file__\"], 95 _import_structure, ---> 96 extra_objects={\"MT5Tokenizer\": MT5Tokenizer, \"MT5TokenizerFast\": MT5TokenizerFast}, 97 ) NameError: name 'MT5Tokenizer' is not defined ``` ## Expected behavior No error when importing. Thank you for your help! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: overwrite? prompt gets EOFError in 2 process #4582 fixes part of the problem with 2 process history saving, but if a file by that name already exists, we get an EOFError instead of a prompt for some reason, before the client is even able to respond. If someone (@minrk or @takluyver) give me a way forward, I can add this as part of #4582, or just make a PR to my repo against _that_ branch. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Remove `ParameterizedSchedule` usage in parsing backend defaults ### What is the expected enhancement? Right now, cmd_defs are disassembled using ParameterizedSchedules. We should follow the circuit workflow for handling parameters, and use Schedules with ParameterExpressions instead. This requires: 1. Changing how the qobj to pulse instruction converter creates the schedules which populate the PulseDefaults' InstructionScheduleMap 2. Changing the way schedules are gotten by the InstructionScheduleMap (I believe it currently checks if the schedule is a ParameterizedSchedule, but we will just have a Schedule that can be bound/assigned to parameters) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Empty circuits from transpiler fail qobj validation ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior? The compiler removes all the gates from this circuit and leaves an empty circuit that fails validation. ``` qr = QuantumRegister(2, 'qr') circuit = QuantumCircuit(qr) circuit.h(qr[0]) circuit.h(qr[0]) circuit.cx(qr[0], qr[1]) circuit.cx(qr[0], qr[1]) circuit.cx(qr[0], qr[1]) circuit.cx(qr[0], qr[1]) coupling_map = [[0, 1]] basis_gates = ['u1', 'u2', 'u3', 'cx', 'id'] backend = BasicAer.get_backend('qasm_simulator') qobj = compile(circuit, backend=backend, coupling_map=coupling_map, basis_gates=basis_gates) ``` ``` ModelValidationError: {'instructions': ['Shorter than minimum length 1.']} ``` ### Steps to reproduce the problem ### What is the expected behavior? I believe that a valid circuit returned by the transpiler, in this case an empty circuit, should result in a valid qobj. ### Suggested solutions Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: Add `exists_ok=True` option to `create_dataset` It's common to have to set up a dataset for a script, where you only want to create it if it doesn't already exist. Currently, one has to manually catch the exception and check `if err.code == HTTPStatus.CONFLICT: # 409` Instead, it would be ideal if there was an `exists_ok` option, similar to how the [Path.mkdir](https://docs.python.org/3/library/pathlib.html#pathlib.Path.mkdir) function can catch and ignore the `FileExistsError` for you. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: add a way to return side-information from grad For example, a user may want to return a statistic or auxiliary data structure from the Python function to which `grad` is applied, not to be considered as part of the value of the mathematical function to be differentiated. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Remove pyreadline workarounds, we now require pyreadline >= 1.7.1 After #1301, on Windows we explicitly require pyreadline >= 1.7.1, so we can clean things up and remove workarounds we had in a few places that only mattered for 1.5 or 1.6. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Build error for optional canvas package Can we suppress the build error for the optional canvas package? ``` Package cairo was not found in the pkg-config search path. Perhaps you should add the directory containing `cairo.pc' to the PKG_CONFIG_PATH environment variable No package 'cairo' found gyp: Call to './util/has_lib.sh freetype' returned exit status 0 while in binding.gyp. while trying to load binding.gyp gyp ERR! configure error gyp ERR! stack Error: `gyp` failed with exit code: 1 gyp ERR! stack at ChildProcess.onCpExit (/usr/lib/node_modules/npm/node_modules/node-gyp/lib/configure.js:305:16) gyp ERR! stack at emitTwo (events.js:106:13) gyp ERR! stack at ChildProcess.emit (events.js:191:7) gyp ERR! stack at Process.ChildProcess._handle.onexit (internal/child_process.js:215:12) gyp ERR! System Linux 4.10.0-32-generic gyp ERR! command \"/usr/bin/nodejs\" \"/usr/lib/node_modules/npm/node_modules/node-gyp/bin/node-gyp.js\" \"rebuild\" gyp ERR! cwd /home/joao/anaconda3/envs/jupyterlab-tutorial/share/jupyter/lab/staging/node_modules/canvas gyp ERR! node -v v6.11.2 gyp ERR! node-gyp -v v3.4.0 gyp ERR! not ok ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the gitpython-developers/GitPython codebase. Here's the problem: Wrong timezone on commit This happens when committing via call to repo.index.commit(message). The timezone value is off by 20 minutes. When I issue 'git log', the following shows: commit 8767403c5e175b5bf69b4ba1d23e8462c722867e Author: Amol Date: Sat May 20 18:50:10 2017 +0530 'Solved.' commit 88a0953df5dc4036633e9f5a295291084b144064 Author: Amol Date: Sat May 20 17:28:13 2017 +0550 Solved. commit 3a0daff1a2655469d412cfd4ab61b00b8da3f63d Author: Amol Date: Sat May 20 14:42:33 2017 +0530 Updated readme. From the bottom, here's how the commits were made: 1. via 'git commit' on command line 2. via call to repo.index.commit 3. via 'git commit' on command line, again, to make sure it wasn't a problem with git configuration As you can see, when committed through GitPython, value for timezone is off by 20 minutes. It is an issue with code related to the commit operation. To verify, I added files to the repo using repo.index.add and then committed via 'git commit' on the command line, the timezone was right in this case. I checked timezone reported by: 1. system ('date +%z'), +0530 2. python (time.timezone), -19800 Both show the correct timezone, +0530, i.e., India Standard Time. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: u3 gate and global phase definition - small inconsistency between matrix & gate defn. ### What is the expected enhancement?  The u3 gate as defined in terms of gates in its docstring, $U3(\\theta, \\phi, \\lambda) = RZ(\\phi) RX(-\\pi/2) RZ(\\theta) RX(\\pi/2) RZ(\\lambda)$ and in terms of a matrix .. math:: \\newcommand{\\th}{\\frac{\\theta}{2}} U3(\\theta, \\phi, \\lambda) = \\begin{pmatrix} \\cos(\\th) & -e^{i\\lambda}\\sin(\\th) \\\\ e^{i\\phi}\\sin(\\th) & e^{i(\\phi+\\lambda)}\\cos(\\th) \\end{pmatrix} does not appear to be consistent up to a global phase. The code representation uses the matrix form, but i think the gatedef uses the underlying gate form. Given the gate definition above, the relationship between the two is  I would suggest adding a note in the docstring about this for those who may get confused on the issue of phases and differences between the u and u3. Appendix:  Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: Don't bail when a dependency can't be found When a dependency for a package can't be found, conda bails completely, but this can happen e.g., just for some old builds of something. So we should just exclude any package like this from the solver. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: DAGCircuitError running Aqua VQC ### Information - Master - 3.6 - Linux, Mac, Windows... ### What is the current behavior? When running Aqua unit test test_vqc we get a DAGCircuitError in latest master code (not in stable). See Aqua PR https://github.com/Qiskit/qiskit-aqua/pull/719 where 'decompose' was in feature_maps/pauli_expansion.py ``` inst = evolution_instruction([[1, p]], coeff, 1) qc.append(inst, qr) qc = qc.decompose() <---- With this we get DAGCircuitError return qc ``` decompose was used to allow caching of resultant ccts. Cache in Aqua does not support instruction so it was decomposed. Since we have now deprecated cache I have removed the above line since we do not need it and it causes the failure. However it maybe that this is something that needs looking into in Terra hence this PR. ### Steps to reproduce the problem Install latest Aqua, Terra from master. Modify feature_maps/pauli_expansion.py to add the decompose line back above (i.e. revert what was done in the PR for that file). Run unit test test_vqc ### What is the expected behavior? Unit test passes with no DAGCircuitError ### Suggested solutions - Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Gcc detection fails sometimes If gcc command does not exist: Found gcc /bin/sh: gcc: command not found.0 CC and CXX: , Default conan.conf settings os=Linux arch=x86_64 compiler=gcc compiler.version=/bin/sh: gcc: command not found.0 build_type=Release Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: Allow choice of compression for loading from dataframe `pandas.Dataframe.to_parquet()` allows a choice of compression, with the deafult of `snappy`. When using the `client.load_table_from_dataframe` the call to this function only allows the use of the default. Is it possible to allow a choice so that `gzip` can be used instead so that installing `snappy` on the system is not necessary Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: `conda create --file deps.txt pkg1 pkg2 ... pkgn` doesn't work ``` $ echo \"scipy\" > deps.txt $ conda create -n test08 --file deps.txt sympy Fetching package metadata: .. Solving package specifications: . Package plan for installation in environment /home/mateusz/py/envs/test08: The following packages will be linked: package | build ---------------------------|----------------- numpy-1.8.1 | py27_0 hard-link openssl-1.0.1h | 0 hard-link python-2.7.8 | 0 hard-link readline-6.2 | 2 hard-link scipy-0.14.0 | np18py27_0 hard-link sqlite-3.8.4.1 | 0 hard-link system-5.8 | 1 hard-link tk-8.5.15 | 0 hard-link zlib-1.2.7 | 0 hard-link Proceed ([y]/n)? n ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: Cast breaks jit Casting via `jnp.float32(x)` breaks jit. > *** Exception: Tracer can’t be used with raw numpy functions. You might have > import numpy as np > instead of > import jax.numpy as jnp The workaround is to use `jnp.asarray(x, dtype=jnp.float32)` instead, but the error is very confusing and it would be nice if this was done automatically under the hood by jax. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: TaskScheduler.hwm default value The current default value is 0, which minimizes task latency with greedy assignment. However, this is suboptimal for some (especially heterogeneous) workloads, and surprising for many users. It may be more sensible to make the default value 1, which is more friendly for novice users, who can get confused by the greedy assignment. This is a tiny change, but posting here so there's a record of the decision. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Wrong Python extension module file name on Python version smaller than 3.8.7 Meson names the extension module that way because it uses what the `sysconfig` module tells him to use, see https://github.com/mesonbuild/meson/blob/e68fcac919b332c7f9469672a243d2aab1bfea0a/mesonbuild/modules/python.py#L444 In Python 3.7.9 on Windows: ``` python -c 'import sysconfig; v = sysconfig.get_config_vars(); print((v.get(\"EXT_SUFFIX\"), v.get(\"SO\"), v.get(\".so\")))' ('.pyd', '.pyd', None) ``` While with Python 3.8.10 on Windows: ``` python -c 'import sysconfig; v = sysconfig.get_config_vars(); print((v.get(\"EXT_SUFFIX\"), v.get(\"SO\"), v.get(\".so\")))' ('.cp38-win_amd64.pyd', '.cp38-win_amd64.pyd', None) ``` Digging through the Python changelogs, I found that `sysconfig` was fixed to behave correctly on Windows in Python 3.8.7, see https://docs.python.org/3.8/whatsnew/changelog.html#python-3-8-7-final : > [bpo-39825](https://bugs.python.org/issue?@action=redirect&bpo=39825): Windows: Change `sysconfig.get_config_var('EXT_SUFFIX')` to the expected full `platform_tag.extension` format. Previously it was hard-coded to `.pyd`, now it is compatible with `distutils.sysconfig` and will result in something like `.cp38-win_amd64.pyd`. This brings windows into conformance with the other platforms. Looking for the right fix. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: allow for multi-path PathActions; build .pyc files in one pass per package from @mingwandroid > Is it known / expected that installing a few noarch: python packages takes >5 minutes (still running) on Windows? > > Looking in process hacker I see it spending all its time firing up new python interpreters to compile .pyc files. One instantiation of python per .pyc to be compiled. > > Can we not use a single process here? > > 10 minutes now, killing it. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: prefect describe CLI does not return JSON ## Description `prefect describe` calls seem to give back no valid JSON but just a printed Python Dict. To make it more useful in downstream commands to e.g. parse the output via jq it would be great if this is JSON. Maybe that was even intended, not sure if it is a bug or enhancement. One example: ``` prefect describe flows --name TestRecoGenerationFlow_dev | jq parse error: Invalid numeric literal at line 1, column 8 ``` Output of this looks like the following: ``` {'name': 'TestRecoGenerationFlow_dev', 'version': 17, 'created': '2020-07-07T12:43:44.554817+00:00', 'description': None, ... ``` With the `None` values instead of `null` it is clear that this is no JSON ## Expected Behavior Proper returning of JSON so that it can be used in downstream tools or pipes. ## Reproduction ``` prefect describe flows --name | jq ``` ## Environment ``` { \"config_overrides\": {}, \"env_vars\": [], \"system_information\": { \"platform\": \"macOS-10.15.4-x86_64-i386-64bit\", \"prefect_version\": \"0.12.2\", \"python_version\": \"3.8.2\" } } ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Consolidate Euler basis selection from basis_gates ### What is the expected enhancement? As came up in #5583 , a few places in the transpiler need to find the right `OneQubitEulerDecomposer` basis to use from a given `basis_gates`. These are duplicated now, and each has its own mapping from gate name to Euler basis. It would be better if this could be consolidated and generalized, so that new bases can be added to the decomposer and picked up automatically in the transpiler. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Remove src/prefect/serializers.py I think the work @cicdw has done in #389 removes the need for this file Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: atleast_{1,2,3}d fail for scalars `numpy.atleast_{1,2,3}d` add dimensions for scalars up to the necessary amount, but JAX implementations fail, since `jax.numpy.array` doesn't return 0-dim arrays for scalars (#121). Examples: ``` In [3]: onp.atleast_1d(1) Out[3]: array([1]) In [4]: np.atleast_1d(1) --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in ----> 1 np.atleast_1d(1) ~/src/jax/jax/numpy/lax_numpy.py in atleast_1d(*arys) 1182 arr = array(arys[0]) -> 1183 return arr if arr.ndim >= 1 else arr.reshape(-1) 1184 else: 1185 return [atleast_1d(arr) for arr in arys] AttributeError: 'int' object has no attribute 'ndim' In [5]: np.atleast_1d(np.int64(1)) Out[5]: array([1]) ``` Numpy dtypes (like `np.int64`) have a `ndim` attribute, which allows them to work properly. The testing suite doesn't catch this because it seems to use Numpy dtypes instead of `int` or `float` literals. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Inconsistency when drawing singleton registers When the quantum register is a singleton, the MPL drawer just prints the name without the subindex. This only happens with the MPL drawer and all of the rest drawers: ```python from qiskit import * circuit = QuantumCircuit(1) circuit.x(0) circuit.measure_all() ``` () 18 import io 19 import os, sys ---> 20 from importlib import import_module 21 import imp 22 ImportError: No module named importlib ``` not sure if we should make people install it themselves, or if it's better to just put a copy in `IPython.external` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the explosion/spaCy codebase. Here's the problem: KeyError during stream processing @ligser writes on Gitter: ``` Hello all! I have some troubles with spacy-nightly==2.0.0rc1 (a18 has same behavior) with en_core_web_lg model. When I run nlp.pipe with a generator of a texts I get the exception: KeyError: 4405041669077156115.. Exception raised after amount of texts (average 10000). Stacktrace looks like that: nlp.pipe((c.content_text for c in texts), batch_size=24, n_threads=8) File \"doc.pyx\", line 375, in spacy.tokens.doc.Doc.text.__get__ File \"doc.pyx\", line 232, in __iter__ File \"token.pyx\", line 178, in spacy.tokens.token.Token.text_with_ws.__get__ File \"strings.pyx\", line 116, in spacy.strings.StringStore.__getitem__ KeyError: 4405041669077156115 That looks like a bug with a StringStore cleanup or something related (maybe shared string-store that clean-up by one of threads?). My code just get a texts from mysql split it to texts and ids and do: for id, doc in zip(ids_gen,nlp.pipe(docs_gen, ...)). ``` I think this is likely due to the solution added in spaCy 2 to address the streaming data memory growth. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Implement Agent debug/verbose logs ## Use Case There are a lot of places inside the agents where logging would be helpful under a debugging or verbose option. ## Solution Add more granular logs that are only outputted based on a debug/verbose config option. ## Alternatives N/A Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: np.loadtxt no longer loads bz2 files in python2 I have been using `np.loadtxt()` to happily load `txt.bz2` files for many years. I recently upgraded to numpy 1.14.2, and I noticed that it no longer seems possible to load a `txt.bz2` file using python2. Was this intensional, or some sort of bug? ``` Traceback (most recent call last): File \"/Users/danhickstein/Documents/GitHub/PyAbel-DH/examples/example_all_O2.py\", line 41, in IM = np.loadtxt('data/O2-ANU1024.txt.bz2') File \"/anaconda2/lib/python2.7/site-packages/numpy/lib/npyio.py\", line 917, in loadtxt fh = np.lib._datasource.open(fname, 'rt', encoding=encoding) File \"/anaconda2/lib/python2.7/site-packages/numpy/lib/_datasource.py\", line 260, in open return ds.open(path, mode, encoding=encoding, newline=newline) File \"/anaconda2/lib/python2.7/site-packages/numpy/lib/_datasource.py\", line 614, in open encoding=encoding, newline=newline) File \"/anaconda2/lib/python2.7/site-packages/numpy/lib/_datasource.py\", line 88, in _python2_bz2open raise ValueError(\"bz2 text files not supported in python2\") ValueError: bz2 text files not supported in python2 ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the celery/celery codebase. Here's the problem: Unlike what doc states, --app does not behave like -A ## Steps to reproduce * Try to run `celery --app foo *anything*`. * Look at the \"celery usage\" output instead of the \"*anything*\" expected output. ## Expected behavior \"-A foo\" and \"--app foo\" to behave the same way. ## Actual behavior \"-A foo\" works, while \"--app foo\" just outputs the \"celery usage\" screen ## Environment ``` software -> celery:4.1.0 (latentcall) kombu:4.1.0 py:3.6.3 billiard:3.5.0.3 py-amqp:2.2.2 platform -> system:Darwin arch:64bit imp:CPython loader -> celery.loaders.app.AppLoader settings -> transport:amqp results:django-db ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: ALAP scheduling fails when a circuit with custom instruction is supplied ### What is the current behavior? Transpiling with `scheduling_method=\"alap\"` but without `backend` fails when a circuit with custom instructions is supplied. This is due to the instruction name mismatch. It occurs when `ALAPSchedule` pass calls `reverse_ops()`, which changes the instruction name. (So this error does not happen if we use ASAP scheduler.) ### Steps to reproduce the problem ``` bell = QuantumCircuit(2, name=\"bell\") bell.h(0) bell.cx(0, 1) qc = QuantumCircuit(2) qc.delay(500, 1) qc.append(bell.to_instruction(), [0, 1]) scheduled = transpile(qc, scheduling_method='alap', instruction_durations=[('bell', [0, 1], 1000)]) ==> qiskit.transpiler.exceptions.TranspilerError: 'Duration of bell_reverse on qubits [0, 1] is not found.' ``` ### What is the expected behavior? The above circuit should be scheduled successfully. ### Suggested solutions We may have three options: 1. don't add \"_reverse\" to the name of the reversed instruction 2. patch the `instruction_durations` with the new .._reverse gate duration as well 3. rewrite the ALAP scheduler without using `reverse_ops()` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Need dependency(..., headers_only : true) and so on for use with Valgrind Similar to #726 but not the same. Use case: I want to detect valgrind via pkg-config and pass the right includes for valgrind/valgrind.h to my build, but not link to the valgrind libs (which fails because they're static libs and not built with -fPIC, but is also unnecessary because everything we need is in the headers via magic macros). I know of other use cases where this is needed, e.g. where glib headers are used for portable typedefs but no linking is done. `cflags = run_command('pkg-config', '--cflags', 'dep').stdout().strip().split()` is not cross-compile friendly, so doesn't seem like a good solution. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the dagster-io/dagster codebase. Here's the problem: [dagster-databricks] Unused constant definitions This is just a minor stylistic thing. It seems in the referenced line and the next one two local constants are defined but in the respective places in the code, numeric values are used instead of the defined constants. https://github.com/dagster-io/dagster/blob/ef416c9d01af916245f61617a48d1ff897435b42/python_modules/libraries/dagster-databricks/dagster_databricks/solids.py#L7 Sorry, I accidentally clicked on feature request, which this obviously is not... Thanks for this great product! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Legacy cleanup IPython/core/debbuger.py contains the following: ``` ####################################################################### # XXX Hack! Use python-2.5 compatible code for this call, because with # all of our changes, we've drifted from the pdb api in 2.6. For now, # changing: # #line = linecache.getline(filename, lineno, self.curframe.f_globals) # to: # line = linecache.getline(filename, lineno) # # does the trick. But in reality, we need to fix this by reconciling # our updates with the new Pdb APIs in Python 2.6. # # End hack. The rest of this method is copied verbatim from 2.6 pdb.py ####################################################################### ``` Should be easy to clean/test. Marking as Sprint friendly quickfix as we dropped 2.5 and 2.6 support. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: protobuf generator does not work in sub-directory When attempting to use the protobuf generator under a subdirectory, the build complains about missing generated files. If we use the following setup under say /mysubdir/meson.build ```meson protoc = find_program('protoc') dep = dependency('protobuf') gen = generator(protoc, \\ output : ['@BASENAME@.pb.cc', '@BASENAME@.pb.h'], arguments : ['--proto_path=@SOURCE_DIR@', '--cpp_out=@BUILD_DIR@', '@INPUT@']) generated = gen.process('defs.proto') e = executable('prog', 'main.cpp', generated, dependencies : dep) test('prototest', e) ``` Under a project hierarchy like: /meson.build /mysubdir/meson.build /mysubdir/defs.proto Then: INPUT=../mysubdir/defs.proto SOURCE_DIR=../ BUILD_DIR=mysubdir/prog@exe protoc requires the input files to exist relative to the path given in --proto_path. It uses this relative path to generate files in path given in -cpp-out. In this case the relative path computed by protoc is mysubdir/ therefore files are generated in \"mysubdir/prog@exe/mysubdir/\" Meanwhile, the build target expects generated files to be in mysubdir/prog@exe, so the build fails. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Description of job should inherit from graph If I don't provide a description to my job when calling `to_job`, it should inherit from the base graph. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: Unable to start scheduler after stopped **Apache Airflow version**: 2.0.0rc3 **Kubernetes version (if you are using kubernetes)** (use `kubectl version`): **Environment**: - **Cloud provider or hardware configuration**: Linux - **OS** (e.g. from /etc/os-release): Ubuntu - **Kernel** (e.g. `uname -a`): - **Install tools**: - **Others**: **What happened**: After shutting down the scheduler, while tasks were in running state, trying to restart the scheduler results in pk violations.. ```[2020-12-15 22:43:29,673] {scheduler_job.py:1293} ERROR - Exception when executing SchedulerJob._run_scheduler_loop Traceback (most recent call last): File \"/home/jcoder/git/airflow_2.0/pyenv/lib/python3.7/site-packages/sqlalchemy/engine/base.py\", line 1277, in _execute_context cursor, statement, parameters, context File \"/home/jcoder/git/airflow_2.0/pyenv/lib/python3.7/site-packages/sqlalchemy/engine/default.py\", line 593, in do_execute cursor.execute(statement, parameters) psycopg2.errors.UniqueViolation: duplicate key value violates unique constraint \"dag_run_dag_id_run_id_key\" DETAIL: Key (dag_id, run_id)=(example_task_group, scheduled__2020-12-14T04:31:00+00:00) already exists. ``` **What you expected to happen**: Scheduler restarts and picks up where it left off. **How to reproduce it**: Set example dag ( I used task_group) to schedule_interval `* * * * *` and start the scheduler and let it run for a few minutes. Shut down the scheduler Attempt to restart the scheduler **Anything else we need to know**: I came across this doing testing using the LocalExecutor in a virtual env. If no else is able to reproduce it, I'll try again in a clean virtual env. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Should be able to create CouplingMap from CouplingMap ### Environment - **Qiskit Terra version**: 0.22rc1 - **Python version**: 3.10.6 - **Operating system**: OSX ### What is happening? ```python from qiskit.transpiler import CouplingMap from qiskit.providers.fake_provider import FakeAuckland backend = FakeAuckland() CouplingMap(backend.coupling_map) ``` ``` TypeError: 'CouplingMap' object is not iterable ``` ### How can we reproduce the issue? run above ### What should happen? I should be able to create a `CouplingMap` from a `CouplingMap` ### Any suggestions? It is caused by #8863 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Plugins should use the same default export mechanism as extensions Extensions built by the `extension-builder` use the convention that the default export is an array of `IPlugin` objects. We should adopt that internally as well. - [x] Update `plugin.ts` files - [x] Update imports in `jupyterlab` and `examples/lab` - [x] Update tslint file to allow default export - [ ] Update `plugins` tutorial Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Making premake generator built-in There seems to be new interest in premake: https://github.com/conan-io/wishlist/issues/162 I think making the generator in https://github.com/memsharded/conan-premake built-in, would be useful. Also, some open-source library package might need it: https://github.com/bincrafters/community/issues/474 To be discussed. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Transformer-XL: no mems are return when using 'return_tuple' # 🐛 Bug ## Information The forward pass of the `TransfoXLLMHeadModel` returns no `mems` when using `return_tuple=True`. Model I am using: Transformer-XL Language I am using the model on: English The problem arises when using: * [x] my own modified scripts: (give details below) ## To reproduce ```Python from transformers import TransfoXLLMHeadModel, TransfoXLTokenizer model = TransfoXLLMHeadModel.from_pretrained(\"transfo-xl-wt103\") model.train() tokenizer = TransfoXLTokenizer.from_pretrained(\"transfo-xl-wt103\") encoded = tokenizer(\"Max is walking the dog in the streets\", return_tensors='pt') outputs = model(input_ids=encoded['input_ids'], mems=None, labels=encoded['input_ids'], return_tuple=True) loss, _, mems = outputs print(loss.size()) print(len(mems)) # should be 18 due to the 18 layers ``` Output: ``` Traceback (most recent call last): File \"user/script.py\", line 10, in loss, _, mems = outputs ValueError: not enough values to unpack (expected 3, got 2) ``` ## Expected behavior Output: ``` torch.Size([1, 7]) 18 ``` ## Environment info - `transformers` version: 3.0.2 - Platform: Windows-10-10.0.18362-SP0 - Python version: 3.6.10 - PyTorch version (GPU?): 1.4.0 (False) - Tensorflow version (GPU?): 2.1.0 (False) - Using GPU in script?: No - Using distributed or parallel set-up in script?: No Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Interpolated config options are computed prior to loading user configs In `config.toml`: ``` [section] host = \"x\" endpoint = \"${section.host}:1000\" ``` In `~/.prefect/config.toml`: ``` [section] host = \"y\" ``` In Prefect: ``` print(prefect.config.section.endpoint) # \"x:1000\" ``` We should perform variable interpolation AFTER user configs are loaded Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Allow distinction between notebook directory and home directory page. I think it is important to make sure that it is easy for users of a multiuser JupyterHub deployment to share notebooks. Some of the requirements: - They can navigate up to the /home directory to see the dirs of all users. This means that the single user notebook dir would be /home. - But have the default dashboard view be their own home directory, rather than the possibly massive /home. To address this I propose that we add a new config variable in the single user notebook that sets the default path that is used for the dashboard in the single user server. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: Conda is installing unrequested feature This seems to be a regression in `conda` 4.0. I have created two test packages just to check this. They are empty and have just the `meta.yaml`: test-release: ``` yaml package: name: test version: \"1.0\" build: number: 0 features: ``` test-debug: ``` yaml package: name: test version: \"1.0\" build: number: 1 features: - debug requirements: run: - debug ``` (`debug` is the anaconda metapackage that only tracks the `debug` feature.) Now, when creating a new environment with only the `test` package, it tries to install the `debug` version: ``` sh $ conda create -n test-pkg test=1.0 Fetching package metadata: ...... Solving package specifications: ......... Package plan for installation in environment D:\\Miniconda\\envs\\test-pkg: The following NEW packages will be INSTALLED: debug: 1.0-0 test: 1.0-debug_1 [debug] Proceed ([y]/n)? ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: [Monitoring] cannot be used with Python 3.7 (Pandas) Pandas/Cython doesn't currently support 3.7. Once it does we need to enable 3.7 testing on Monitoring. Collecting pandas>=0.17.1 (from google-cloud-monitoring==0.29.0) Using cached https://files.pythonhosted.org/packages/08/01/803834bc8a4e708aedebb133095a88a4dad9f45bbaf5ad777d2bea543c7e/pandas-0.22.0.tar.gz Could not find a version that satisfies the requirement Cython (from versions: ) No matching distribution found for Cython Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Seq2SeqTrainer: missing features These could all be separate issues, if you want to tackle 1 feel free to make a new issue to link to your PR, or not! 1. Configure lr scheduler from the command line https://github.com/huggingface/transformers/blob/master/examples/lightning_base.py#L119 2. Configure dropout, layerdrop from the command line: https://github.com/huggingface/transformers/blob/master/examples/lightning_base.py#L92 3. Logging to wandb seems much less frequent than with the PL integration, which sends train loss to wandb every step. 4. Losses printed out are different than with PL, (seem to be normalized in some way). This merits investigation. cc @patil-suraj Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Pub/Sub empty topic batch fails ``` python with topic.batch() as batch: for obj in rows: batch.publish(b'bla') ``` fails if rows is empty: Traceback (most recent call last): … File \"/usr/local/lib/python2.7/dist-packages/gcloud/pubsub/topic.py\", line 420, in **exit** self.commit() File \"/usr/local/lib/python2.7/dist-packages/gcloud/pubsub/topic.py\", line 449, in commit message_ids = api.topic_publish(self.topic.full_name, self.messages[:]) File \"/usr/local/lib/python2.7/dist-packages/gcloud/pubsub/connection.py\", line 205, in topic_publish method='POST', path='/%s:publish' % (topic_path,), data=data) File \"/usr/local/lib/python2.7/dist-packages/gcloud/connection.py\", line 344, in api_request error_info=method + ' ' + url) BadRequest: 400 The value for message_count is too small. You passed 0 in the request, but the minimum value is 1. (POST https://pubsub.googleapis.com/v1/projects/karos-api/topics/api-prod:publish) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: b2 generator does not define projects as rooted b2 generator's docs mention, that projects for dependencies are defined rooted, so if you have in your recipe ```ini [requires] clara/[>0]@bincrafters/stable ``` Then the jam-file created by generator will define a project `/clara`. But it seems, only relative projects are created, so, instead of `/clara//libs` one has to use `clara//libs`or `../clara//libs` in a subproject. This can be reproduced by a project like this: ```ini ; conanfile.txt [requires] clara/[>0]@bincrafters/stable [generators] b2 ``` ```jam # jamroot.jam exe main1 : main.cpp clara//libs ; exe main2 : main.cpp /clara//libs ; ``` ```cpp int main() {} ``` And building with ```shell $ conan install . --build missing $ b2 ``` Target `main2` will fail to be built, while target `main1` should be built successfully. I tested it on Conan 1.11.1. The b2 generator requires Boost.Build >= 1.68 - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: os.errno doesn't exists anymore in Python 3.7 ### Informations - **Qiskit Terra version**: 0.6.1 - **Python version**: 3.7.0 − Jupyter Notebook - **Operating system**: Ubuntu 16.04.1 ### What is the current behavior? I used circuit_drawer() on a Jupyter notebook without having latex installed on my computer, but instead of getting the message `WARNING: Unable to compile latex. Is `pdflatex` installed?`, I got the following error: ``` ~/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/tools/visualization/_circuit_visualization.py in latex_circuit_drawer(circuit, basis, scale, filename, style) 292 check=True) 293 except OSError as e: --> 294 if e.errno == os.errno.ENOENT: 295 logger.warning('WARNING: Unable to compile latex. ' 296 'Is `pdflatex` installed? ' AttributeError: module 'os' has no attribute 'errno' ``` ### Suggested solutions Replacing `os.errno` by just `errno` (after having imported it). See for instance [this thread](https://bugs.python.org/issue33666) on the Python bug tracker Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Have Tasks and/or Flows specify the secrets they require at init ## Current behavior Currently, the Prefect Secrets API is very explicit: ```python @task def my_task(): api_secret = Secret(\"api_secret\").get() ``` this means that, for example, if I map this task over some large collection of items, I'm going to pull this Secret value for every mapped instance. This is clearly redundant. ## Proposed behavior Instead, we could: ```python @task(secrets=[\"api_secret\"]) def my_task(): api_secret = prefect.context['secrets']['api_secret'] ``` which would trigger the TaskRunner to auto-populate context with the secret values. We could also specify this instead at the Flow level, but my bias is to keep this is as \"local\" as possible (open to push-back here of course). A third option would be to specify it on the task, but have the FlowRunner call the Secrets API (instead of the TaskRunner). This way, if the same secret is specified across multiple tasks, the FlowRunner can track that and not make redundant calls. We'd want to think about how to raise the error if a Secret doesn't exist (this implementation would result in a \"global\" Flow failure instead of a local task failure). Either way, this new pattern would allow us to pull the secret _one time_ (prior to mapping or prior to task runner execution) and provide it within context to every mapped child. Note that open-source users would see absolutely 0 difference, as `Secret('key').get()` is a wrapper to `prefect.context['secrets']['key']` anyway. **cc:** @TylerWanner @zdhughes @joshmeek Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: removing tools/apps ### What is the expected enhancement? I am going to try the issues first approach :-) I will work on a pull request to remove the openquantumcompiler and the tools/apps. This is low priority and is not in the main updates for next release so we dont need to track I will do these as two seperate pull requests. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add gzip support to BigQuery load_table_from_file(). Gzip uses integers 1 and 2 instead of strings 'r' and 'w'. This small change adds support for it, at least until it's changed in python itself. This issue is reported in this Stack Overflow question: https://stackoverflow.com/questions/49712542 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: np.cumsum not implemented. If the JAX version of np.cumsum were prioritized as a function to implement, I'd appreciate it. I've implemented my own for now. Thank you, -David Exception: Numpy function not yet implemented Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add zeroing of pulse widths as a settable flag ### What is the expected enhancement? As a follow up to #3314 pulses that have their first and last samples zeroed should have this zeroing behavior as an optional flag. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: In JP-Server v2 the terminal is not in core anymore. ## Description In jp-server v2, the terminal was moved to an extension. Some examples of standalone apps are configured not to load extensions. See: https://github.com/jupyterlab/jupyterlab/blob/f1bc627a2554f6171f476a1b11650e9e3fab2732/examples/app/main.py#L11-L13 https://github.com/jupyterlab/jupyterlab/blob/f1bc627a2554f6171f476a1b11650e9e3fab2732/examples/app/main.py#L28 That makes the tests of the examples fail because the terminal doesn't work. I changed the examples to load extensions in https://github.com/jupyterlab/jupyterlab/pull/12926/commits/2be616157c7da65ab07409b5a986c31df12078ef. ## Reproduce Run the examples from previous PR #12926 ## Expected behavior The examples should still work standalone ## Context https://github.com/jupyterlab/jupyterlab/pull/12926#issuecomment-1294968674 cc @fcollonval Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Stopping `fig up` using CTRL+c does not always shutdown containers I am having issue where a CTRL+c to a session running `fig up` is just exiting with `Aborting.` using docker-compose 1.1.0. I am just doing a `fig up`, my containers start up as expected but when I go to do a CTRL+c, it aborts and leaves my containers running. If code is needed to replicate, I am using this >> https://github.com/mbentley/docker-db_bootstrap ``` $ docker-compose up Found multiple config files with supported names: docker-compose.yml, fig.yml Using docker-compose.yml Creating dockerdbbootstrap_db_1... Creating dockerdbbootstrap_bootstrap_1... Creating dockerdbbootstrap_web_1... Attaching to dockerdbbootstrap_db_1, dockerdbbootstrap_bootstrap_1, dockerdbbootstrap_web_1 db_1 | Running mysql_install_db ... db_1 | 2015-02-27 21:11:45 13 [Note] InnoDB: Using atomics to ref count buffer pool pages bootstrap_1 | Unable to connect to MySQL, retrying... db_1 | 2015-02-27 21:11:45 13 [Note] InnoDB: The InnoDB memory heap is disabled db_1 | 2015-02-27 21:11:45 13 [Note] InnoDB: Mutexes and rw_locks use GCC atomic builtins db_1 | 2015-02-27 21:11:45 13 [Note] InnoDB: Memory barrier is not used ... bootstrap_1 | Post import databases: bootstrap_1 | +--------------------+ bootstrap_1 | | Database | bootstrap_1 | +--------------------+ bootstrap_1 | | information_schema | bootstrap_1 | | classicmodels | bootstrap_1 | | mysql | bootstrap_1 | | performance_schema | bootstrap_1 | +--------------------+ bootstrap_1 | bootstrap_1 | Database bootstrap complete! ^C Aborting. ``` Not sure if I am doing something wrong or what but I can reproduce it consistently. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Detailed Core Tutorial Plan and write out a general core tutorial similar in tune with Cloud's getting started tutorial. It will take users through the process of taking an objective (e.g. ETL) and building on to it modularly in order to work up to a full production ready flow. Suggestion: each code snippet should include both the functional and imperative API versions through the use of the vuepress tabbed selector. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: commutation_checker.py tries to create identity operator with size 2^(2^num_qubits) ### Environment - **Qiskit Terra version**: 0.22.2 - **Python version**: 3.10.8 - **Operating system**: Manjaro Linux 22.0.0 ### What is happening? I am trying to transpile a deep 10 qubit circuit with optimization_level=3. This results in > ValueError: Maximum allowed dimension exceeded\" in qiskit/circuit/commutation_checker.py, line 27, in _identity_op ### How can we reproduce the issue? I broke my code down to this simple example: ``` import numpy as np from qiskit import Aer, transpile, QuantumCircuit from qiskit.circuit.library import XGate n_qubits = 4 circ = QuantumCircuit(n_qubits + 1) ctrl_str = format(np.random.randint(0, 2**n_qubits), \"b\").zfill(n_qubits) mcx_gate = XGate().control(num_ctrl_qubits=n_qubits, ctrl_state=ctrl_str).repeat(2) circ.append(mcx_gate, list(range(n_qubits + 1))) transpile(circ, backend=Aer.get_backend(\"aer_simulator\"), optimization_level=3) ``` This fails with > numpy.core._exceptions._ArrayMemoryError: Unable to allocate 32.0 GiB for an array with shape (65536, 65536) and data type float64 on my system with 16GiB of memory. ### What should happen? Transpilation should proceed without any issues. ### Any suggestions? Simple fix: _identity_op() in commutation_checker.py takes as argument num_qubits: https://github.com/Qiskit/qiskit-terra/blob/e775b4d19ad62558f30f39814b3d923ce03c8654/qiskit/circuit/commutation_checker.py#L24-L28 but is called with 2**num_qubits instead: https://github.com/Qiskit/qiskit-terra/blob/e775b4d19ad62558f30f39814b3d923ce03c8654/qiskit/circuit/commutation_checker.py#L145-L147 So we simply need to replace the argument in line 147 with `extra_qarg2`. I don't know how to fix an issue unfortunately. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: `conan info` --build-order and --graph don't mix You can't use both options --build-order and --graph on the same call. This should be allowed, and the command help doesnt't show them as incompatible. ``` $ conan info 'boost/1.68.0@conan/stable' --build-order=ALL --graph boost.html [bzip2/1.0.6@conan/stable, zlib/1.2.11@conan/stable], [boost/1.68.0@conan/stable] $ ls boost.html ls: cannot access boost.html: No such file or directory $ conan info 'boost/1.68.0@conan/stable' --graph boost.html $ ls boost.html boost.html ``` Conan 1.6.1 - [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?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: add control flow to Unroll3qOrMore ### Summary adds control flow handling to Unroll3qOrMore transpiler pass. ### Details and comments Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Meson does not properly uses CXXFLAGS in compiler test Meson should use CXXFLAGS env variable for compiler tests, it does for some but not for others. Here the `has_library` test (remove some unnecessary info): ``` Running compile: Command line: c++ -I/Users/epirat/Projects/Misc/plprefix/include -L/Users/epirat/Projects/Misc/plprefix/lib /var/folders/rw/l97gj1cd6vd_wrf_zjcbycjc0000gn/T/tmpnho14245/testfile.cpp -pipe -o /var/folders/rw/l97gj1cd6vd_wrf_zjcbycjc0000gn/T/tmpnho14245/output.exe -O0 -fpermissive -lSPVRemapper -Wl,-undefined,dynamic_lookup ``` As can be seen, meson properly uses the `CXXFLAGS` `-I/Users/epirat/Projects/Misc/plprefix/include`. Here the `get_define`: ``` Running compile: Command line: c++ /var/folders/rw/l97gj1cd6vd_wrf_zjcbycjc0000gn/T/tmph8m3486_/testfile.cpp -pipe -E -P -O0 -fpermissive ``` As can be seen, it lacks the `CXXFLAGS`. This is very inconsistent, and leads to weird bugs, even worse than before as now it finds the library but fails with a (for the user) inexplicable other error because headers of that library are not properly found. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Consider promoting `case` to the top level ## Current behavior *Please describe how the feature works today* Currently, the `case` context manager must be imported from `prefect.tasks.control_flow.case`. ## Proposed behavior *Please describe your proposed change to the current behavior* I think we should consider promoting `case` to being importable as `prefect.case`, since it forms a fundamental part of the Python API. Other control flow utilities have \"task-like\" semantics (even if they are called as functions), and it's more appropriate for them to live in a `tasks` submodule. However, like `task`, `Flow`, `tags`, and `unmapped`, I believe `case` represents a significant component of Prefect's Python syntax and warrants top-level availability. ## Example *Please give an example of how the enhancement would be useful* ``` from prefect import Flow, case with Flow(\"example\"): with case(is_this_easy, True): do_stuff() with prefect.tasks.control_flow.case(is_this_easy, False): do_other_stuff() ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: conda remove --all behavior changed in 4.2.7 `conda remove --all` used to remove an environment if it existed, and quietly succeed if it was already gone. Now this command fails when the environment does not exist. This makes something formerly easy to do in an automated way now difficult especially in a cross-platform way on Windows. ``` C:\\>conda remove --all -n nonenv CondaEnvironmentNotFoundError: Could not find environment: nonenv . You can list all discoverable environments with `conda info --envs`. C:\\>echo %ERRORLEVEL% 1 ``` Just suppressing the error is not appealing, because there are many error modes different from the environment not existing that should trigger a failure. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: mBart prefix and suffix for language id ## Environment info - `transformers` version: 3.5.1 ### Who can help mBART: @patrickvonplaten documentation: @sgugger ## Information It seems that there is error or inconsistency between [mbart tokenizer](https://github.com/huggingface/transformers/blob/55e8d0cea25be18b044523b30f4bef58fec63289/src/transformers/tokenization_mbart.py) and comments/docs inline the code. comments on code explain ``` def build_inputs_with_special_tokens( self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None ) -> List[int]: \"\"\" Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and adding special tokens. An MBART sequence has the following format, where ``X`` represents the sequence: - ``input_ids`` (for encoder) ``X [eos, src_lang_code]`` - ``decoder_input_ids``: (for decoder) ``[tgt_lang_code] X [eos]`` ``` but `set_tgt_lang_special_tokens` considers that `decoder_input_ids` is **X [eos][tgt_lang_code]** instead of **[tgt_lang_code] X [eos]** ``` def set_tgt_lang_special_tokens(self, lang: str) -> None: \"\"\"Reset the special tokens to the target language setting. Prefix [tgt_lang_code], suffix =[eos].\"\"\" self.cur_lang_code = self.lang_code_to_id[lang] self.prefix_tokens = [] self.suffix_tokens = [self.eos_token_id, self.cur_lang_code] ``` Shouldn't it be: ``` def set_tgt_lang_special_tokens(self, lang: str) -> None: \"\"\"Reset the special tokens to the target language setting. Prefix [tgt_lang_code], suffix =[eos].\"\"\" self.cur_lang_code = self.lang_code_to_id[lang] self.prefix_tokens = [self.cur_lang_code] self.suffix_tokens = [self.eos_token_id] ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: pylab=inline fig.show() non-existent in notebook I have some code that draws some plots and I notice it raises an AttributeError on the show() method of a figure object. I don't really know the details but I assume that IPython is somehow providing its own backend. Inspecting a figure object created with backend 'tk' or 'wx' I notice that `show()` doesn't seem to be a bound method but a function, pointing at the respective backend's implementation of `show()`? It seems like figure objects should provide this in the context of notebook inline plotting, even if it's a no-op, for the sake of not breaking existing code. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Change the name Lookaheadmapper and basicmapper ### What is the expected enhancement? In the folder, it is not clear what is a mapper and what is not. My view (also @ajavadia) is all steps are a mapper. Mapping is all things combined: swap insertion, fix direction, unroll to native gates, etc. - [x] Unroller - [ ] LookaheadSwap - [ ] StochasticSwap should happend in (#1520) - [ ] BasicSwap - [ ] LayoutSelect should happen in (#1499) - [x] CXDirection (pr #1521) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Latex drawer leaves too much space at end of circuit ### Information - **Qiskit Terra version**: 0.9.0 - **Python version**: 3.7.4 - **Operating system**: Windows 10 [18362] ### What is the current behavior? The latex drawer draws too much \"empty circuit\" after the last gate. It's already visible on a small circuit:  But the larger the circuit, the more noticeable it gets:  ### Steps to reproduce the problem Draw any circuit using the latex drawer. ### What is the expected behavior? Draw the circuit shorter after the last gate. ### Suggested solutions Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: python_installation lost external_program's path() method docs say ```The python_installation object is an external program, with several added methods.``` in reality methods are not added, they replace parent class methods it makes it impossible to find python installation's path in meson to pass it to other script. without running python from python that is Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: Add ssl extra arguments to postgres hook This enables one to specify items such as ssl certificate paths in the extra field of a postgres connection object. Rather than simply pass-through everything from the extra field, I followed the existing code pattern of selecting for specific arguments, as demonstrated in other hooks. I tested this in Python 2.7.6 and Python 2.7.10. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: gtkdoc ignore_headers support breaks gstreamer build ``` Building documentation for gstreamer Traceback (most recent call last): File \"/path/to/meson/meson.py\", line 26, in sys.exit(main()) File \"/path/to/meson/meson.py\", line 23, in main return mesonmain.run(launcher, sys.argv[1:]) File \"/path/to/meson/mesonbuild/mesonmain.py\", line 249, in run sys.exit(run_script_command(args[1:])) File \"/path/to/meson/mesonbuild/mesonmain.py\", line 239, in run_script_command return cmdfunc(cmdargs) File \"/path/to/meson/mesonbuild/scripts/gtkdochelper.py\", line 182, in run options.ignore_headers.split('@@') if options.ignore_headers else []) File \"/path/to/meson/mesonbuild/scripts/gtkdochelper.py\", line 96, in build_gtkdoc '--ignore-headers=' + ignore_headers] + scan_args TypeError: Can't convert 'list' object to str implicitly ``` It seems that this error is caused by https://github.com/mesonbuild/meson/pull/980. When `ignore_headers` is not used in the build file, it defaults to an empty list, not an empty string. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: test() should have a depends arg It is just useful for tests that depends upon targets not built by default: ```meson foo = custom_target(...) test(..., depends: foo) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: scrambled URL of non-alias channel with token The URL parsing would swap around locations of URL parts if passed a `/t/` URL that was not the `channel_alias`. scrambled URL of non-alias channel with token The URL parsing would swap around locations of URL parts if passed a `/t/` URL that was not the `channel_alias`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: arbitrary order in circuit drawers ### What should we add? Circuit drawers currently have `reverse_bits`, as an option to modify the order in which wires are represented. @ajavadia suggests a generalized version of that feature: `wire_order`. This parameter might define the order of the wires `draw(..., wire_order=[3,0,2,1])` and can eventually replace `reverse_bits` with `draw(..., wire_order='reverse'`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Start enforcing type hints We've been using type hints, but haven't officially enforced them anywhere. Since we're using them regularly, I think we should consider doing this as a part of the `check_formatting` build (or a different build). Same on the server side @joshmeek Any reason not to? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: `auto_match` slow and hogs CPU in some cases To reproduce in IPython 8.2, paste `function_with_long_nameeee('arg`, and add the closing quotes at the end. The slowness increases when the prefix is longer (in this case dominated by the function name `function_with_long_nameeee`), so if you don't notice it, try increasing it). ## Steps to reproduce with docker 1. Build the image and start a container: ```sh build_oci_img() { docker build \"$@\" - < print (data2[1:] == data2[:-1]) File \"XXX/lib/python2.7/site-packages/numpy/ma/core.py\", line 4033, in __eq__ return self._comparison(other, operator.eq) File \"XXX/lib/python2.7/site-packages/numpy/ma/core.py\", line 3993, in _comparison sdata = sbroadcast.filled(odata) File \"XXX/lib/python2.7/site-packages/numpy/ma/core.py\", line 3709, in filled fill_value = _check_fill_value(fill_value, self.dtype) File \"XXX/lib/python2.7/site-packages/numpy/ma/core.py\", line 459, in _check_fill_value raise ValueError(err_msg % (fill_value, fdtype)) ValueError: Unable to transform [('Mon', 30) ('Tue', 28) ('Wed', 25) ('Thu', 29)] to dtype [('day', '|S3'), ('', '|V10'), ('high', ':1: DeprecationWarning: `np.unciode` is a deprecated alias for `np.compat.unciode`. To silence this warning, use `np.compat.unciode` by itself. In the likely event your code does not need to work on Python 2 you can use the builtin `str` for which `np.compat.unciode` is itself an alias. Doing this will not modify any behaviour and is safe. If you specifically wanted the numpy scalar type, use `np.str_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations Traceback (most recent call last): File \"\", line 1, in ValueError: invalid literal for int() with base 10: 'hello' ``` ### NumPy/Python version information: ``` >>> import sys, numpy; print(numpy.__version__, sys.version) 1.20.0 3.8.2 (default, Nov 4 2020, 21:23:28) [Clang 12.0.0 (clang-1200.0.32.28)] ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add `schedule=True` kwarg to `flow.run` This keyword will be a blocking command which serves as a \"local scheduler\" attached to this specific flow. In particular, `flow.run(schedule=True)` will wait until `flow.schedule.next(1)`, and then execute the flow. It will then pause, and wait until the next scheduled time, etc. indefinitely until the process dies. This will allow people to _truly_ build, execute and schedule workflows locally, albeit with none of the fun security / concurrency / etc. guarantees that Cloud provides. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Support for sending messages to Microsoft Teams (Connector Cards) ### Problem to solve As a pipeline/solid author in an organization that uses Microsoft Teams (as opposed to Slack), I would like something that helps me send messages to Teams channels during pipeline execution, similar to the `dagster_slack` module. ### Intended users * Pipeline Developer * DevOps Engineer ### User experience goal Pipeline developers should be able to create a Dagster resource that manages sends requests to Microsoft Teams Webhooks, and perhaps help create Connector Cards. ```python @solid(required_resource_keys={\"teams\"}) def teams_solid(context): context.resources.teams.post_message(title=\"Dagster\", text=\"Hello, from Dagster!\") ``` DevOps engineers should be able to configure the resource with a webhook URL (or similar), and any other details needed to authorize/authenticate requests. ### Proposal Create a `dagster_teams` module that provides a resource for working with Teams webhooks, mainly to post messages. ### Further details See [Sending messages to connectors and webhooks](https://docs.microsoft.com/en-us/microsoftteams/platform/webhooks-and-connectors/how-to/connectors-using#setting-up-a-custom-incoming-webhook) for some documentation. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Resolved dependencies are not the same if a package needs to be built Hello, Using conan 1.7.0 (changelog don't show any modification about this problem for 1.7.3) on ubuntu 18.04. I've encountered the following use case ([conan_dep.tar.gz](https://github.com/conan-io/conan/files/2370339/conan_dep.tar.gz)): PackageC is independent and a shared lib PackageB is a static lib and requires PackageC as public PackageA is a dynamic, requires PackageB as private and PackageC as public UseOfA requires PackageA as public I would expect that in the buildinfo constructed by conan when I make a conan install of UseOfA that build info of PackageA and PackageC are available. **When I install UseOfA:** If all my packages are in my local repository info about PackageC are missing. If the PackageA is missing from my repository and the recipe is on the server, installing with build missing provides all info I need. [other test] If the PackageA is missing from my repository and the binary is on the server, info about PackageC are missing. **To test it:** You can untar the archive and run test.sh, it will create two build folder: build_problem and build_ok and then you can compare conanbuildinfo.txt the check the differences. Regards, - [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?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: 🔥[Community Event] Doc Tests Sprint - Configuration files🔥 This sprint is similar to #16292 - but for model **configuration files**, i.e. `configuration_[model_name].py`. For example, `src/transformers/models/bert/configuration_bert.py` # The expected changes The changes we expect could be find #19485: 1. **Change the import order of the model and configuration classes** 2. **Add `(with random weights)` in the comment before model initialization line** 3. **Add `configuration_[model_name].py` to `utils/documentation_tests.txt`** (respecting the order) Please do step 3. only after **Running the doctest and make sure all tests pass** (see below) 🙏 # How to run doctests Suppose you are working on `src/transformers/models/bert/configuration_bert.py`. The steps to run the test are: 0. **Stage your changes** ```bash git add src/transformers/models/bert/configuration_bert.py ``` 1. **Prepare the files to be tested** ```python python utils/prepare_for_doc_test.py src ``` or if you prefer to be more specific ```python python utils/prepare_for_doc_test.py src/transformers/models/bert/configuration_bert.py ``` This will change some files (doc-testing needs to add additional lines that we don't include in the doc source files). 2. **Launch the test:** ```python python -m pytest --doctest-modules src/transformers/models/bert/configuration_bert.py -sv --doctest-continue-on-failure ``` 3. **Cleanup git status** ```bash git checkout -- . ``` to clean up the changes in step 1. # Ready (or not)? If all tests pass, you can commit, push and open a PR 🔥 🚀 , otherwise iterate the above steps 💯 ! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Call load_from_checkpoint when trainer load state ## 🚀 Feature When use `Trainer` class to load the model state instead of using `load_from_checkpoint`, the hook `on_load_checkpoint` won't be called. It's better to let trainer call `load_from_checkpoint` instead of directly call `model.load_state_dict`, thus `on_load_checkpoint` and other hooks can be called. ### Motivation I need to do some sanity check of saved `hparams` and I found the suitable location for this is `on_load_checkpoint`. But this method is not called when use Trainer to load states. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: %debug magic \"up\" fails to pass through generator stack Consider the following example \"pdbtest.py\": ``` def f(x): raise Exception gen = (f(x) for x in [0]) for x in gen: pass ``` If I run this with `python -i pdbtest.py`, when the exception is thrown I can go up the stack all the way to the module-level with pdb: ``` Traceback (most recent call last): File \"pdbtest.py\", line 6, in for x in gen: File \"pdbtest.py\", line 4, in gen = (f(x) for x in [0]) File \"pdbtest.py\", line 2, in f raise Exception Exception >>> import pdb; pdb.pm() > /home/antony/tests/pdbtest.py(2)f() -> raise Exception (Pdb) u > /home/antony/tests/pdbtest.py(4)() -> gen = (f(x) for x in [0]) (Pdb) u > /home/antony/tests/pdbtest.py(6)() -> for x in gen: (Pdb) u *** Oldest frame (Pdb) >>> ``` However, if I try to do the same with ipython's %debug magic, I cannot go beyond the generator frame -- which is particularly annoying when you think the actual bug happens earlier: ``` In [1]: %debug > /path/to/pdbtest.py(2)f() 1 def f(x): ----> 2 raise Exception 3 ipdb> u > /path/to/pdbtest.py(4)() 3 ----> 4 gen = (f(x) for x in [0]) 5 ipdb> u *** Oldest frame ipdb> ``` This happens with ipython 2.1.0 and python 3.4. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] behaviour when there are spaces in required_conan_version `required_conan_version = \">= 1.36.0\"` This currently fails in conan 2 due to the space. What should the behaviour be? If this is an error, we need better UX to inform the user. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Fix experimental make generator CONAN_CPPFLAGS and CONAN_INCLUDE_PATHS Following the conversation here https://github.com/conan-io/conan/issues/4286#issuecomment-454194188 We have finally reached the conclusion of having ``cpp_info.cppflags`` converted to ``CONAN_CXXFLAGS`` in the ``make`` generator to be consistent with orhter generators such as ``cmake``. Also the flag ``CONAN_INCLUDE_PATHS`` should be renamed to ``CONAN_INCLUDE_DIRS`` for the same reason. In another issue we would probably introduce a ``cpp_info.cxxflags`` that would be an internal alias of ``cpp_info.cppflags`` to avoid this confusion without breaking. cc/ @solvingj Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: conda clean -p breaks hard linking of new installs @asmeurer Following on from conda/conda#68: On Windows 8 (and probably equally on all other windows versions), `conda clean -p` removes all extracted packaged from the `pkgs` directory even if they are hard linked in some environments. While all existing environments will continue to function, creation of a new environment with the same packages causes conda to extract the packages again and to hard link to the newly extracted files. This massively increases disk usage and results in the opposite of what a user running `conda clean` was attempting to achieve. The problem lies in `main_clean.py` and the fact that on Windows `lstat(file).st_nlink` always returns 0, even if `file` is hard linked. (This seems to have been fixed from python 3.2 onwards: https://bugs.python.org/issue10027) As a stop gap measure `conda clean -p` should be prevented from being run on windows until a better solution can be found. ``` C:\\>conda list # packages in environment at C:\\Anaconda: # conda 3.10.1 py27_0 conda-env 2.1.4 py27_0 menuinst 1.0.4 py27_0 psutil 2.2.1 py27_0 pycosat 0.6.1 py27_0 python 2.7.9 1 pyyaml 3.11 py27_0 requests 2.6.0 py27_0 ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Specify both image name and build path It should be possible to specify the name of an image, and the path it can be built from. Like so: ``` web: image: hyperglobalmegacorp/web build: . ``` This lets you do various things: 1. Bootstrap an environment by pulling pre-built master images from the Hub so you don't have to build them locally when setting up an initial environment (`docker-compose pull; docker-compose up`) 2. Lets you easily push images that you have built 3. Lets you customise the name of the built image 4. Makes it easier to use the same Compose file in development and production (production can pull images in advance or ignore `build`) Related: #213 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Bigtable: Instance methods should use 'Client.instance_admin_client' property 005ddd11770f8953643dac9b64a037524da2f49e added three API-invoking methods to `Instance`: - `get_iam_policy` - `set_iam_policy` - `test_iam_permissions` The implementations of those methods use the client's `_instance_admin_client` attribute, which may not have been initialized: instead, they should use the `instance_admin_client` property. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Pulse visualizations ### What is the expected enhancement? For ease of experiment development, a full suite of visualization tools should accompany the pulse API. This should include visualizations for pulses, channels and schedules. See #1713. For more information. This will be implemented in #1902. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: greedy completer bug in terminal console i'm back from finishing my thesis and i'm awed by the massive progress over the last few months. i'm particularly fond of the terminal 2-process frontend, which is super-useful to me. alas the greedy completer is not working properly in this mode. if i start a console session with greedy on, and then run ``` python x = [0, 1, 2] x[0].im ``` it will autocomplete `imag`, but the next line will be ``` python x[0]x[0].imag ``` which is obviously not right. this problem (rightfully) does not occur in the 1-process terminal or the qtconsole mode. i remember this being an issue before in previous versions of ipython, but with the new structure i cannot see yet where this bug arises and how to solve it. best to ask an expert... Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Allow Python keywords in asset group names A user had a folder named \"meta\", which was raising an error: https://dagster.slack.com/archives/C01U954MEER/p1655840005429919. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Duplicated definition of built-in magic aliases after %reset When running `%reset -f` in Jupyter notebook or Spyder, the following message will be printed. ``` ERROR:root:Invalid alias: The name clear can't be aliased because it is another magic command. ERROR:root:Invalid alias: The name more can't be aliased because it is another magic command. ERROR:root:Invalid alias: The name less can't be aliased because it is another magic command. ERROR:root:Invalid alias: The name man can't be aliased because it is another magic command. ``` However, running `%reset -f` in IPython itself is just fine. I started experiencing this after upgrading to IPython 7.3.0, and I believe that this behavior was from the change #11528. Maybe those aliases should only be redefined when running in the IPython shell, not in Jupyter or Spyder as a kernel. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: ModelCheckpoint does not save checkpoints This same code worked in the past version, but now it doesn't save the checkpoints anymore. I tried with MODEL_OUTPUT = 'example/hello' MODEL_OUTPUT = 'example/hello/' MODEL_OUTPUT = 'example/hello/weights' with 'example/hello/' as an existing folder ```python checkpoint_callback = ModelCheckpoint( filepath='%s/' % MODEL_OUTPUT, save_best_only=True, verbose=True, monitor='val_loss', mode='min' ) early_stop_callback = EarlyStopping(monitor='val_loss', patience=5) tt_logger = CMLLogger(LOG_DIR) trainer = Trainer(logger=tt_logger, row_log_interval=2, checkpoint_callback=checkpoint_callback, early_stop_callback=early_stop_callback, gradient_clip_val=0.5, gpus=gpus, check_val_every_n_epoch=1, max_nb_epochs=99999, train_percent_check=train_frac, log_save_interval=5, ) ``` **Desktop (please complete the following information):** - OS:linux/mac Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: beam_indices = None ### System Info Hi dear officer I find a bug, that is, if I use the 'force_words_id' parameter in generate() function and set output_score = True. then I want to get beam_indices, it will return None. but if I remove force_words_id. it will work. ` prompt = \"\"\"Tell me some about Canada\"\"\" input_tokenized_info = tokenizer(prompt, return_tensors=\"pt\") input_ids, attention_mask = input_tokenized_info['input_ids'], input_tokenized_info[ 'attention_mask'] input_ids = input_ids.to('cuda') attention_mask = attention_mask.to('cuda') force_words = [\"Canada\"] force_words_ids = tokenizer(force_words, add_special_tokens=False).input_ids outputs = model.generate(input_ids=input_ids, attention_mask=attention_mask,num_beams =4,max_new_tokens=10,\\ return_dict_in_generate=True,output_scores=True) ` `print(outputs.beam_indices) tensor([[ 0, 0, 0, 0, 1, 0, 0, 3, 1, 0, -1, -1, -1, -1, -1]], device='cuda:0')` But if add 'force_words_id' `outputs = model.generate(input_ids=input_ids, attention_mask=attention_mask,num_beams =4,max_new_tokens=10,\\ return_dict_in_generate=True,output_scores=True,force_words_ids=force_words_ids) print(outputs.beam_indices) None` ### Who can help? @ArthurZucker , please give me some guidance, thanks 🙏 ### Information - [X] The official example scripts - [ ] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [X] My own task or dataset (give details below) ### Reproduction it should return indices. ### Expected behavior it should return indices. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: configure_file() should use line endings of input file for the output file It currently seems to default to Windows line endings on Windows even if the input file has Unix line endings. This normally wouldn't be a problem I guess, but gcc has a bug with Windows line endings on Windows which breaks parsing with gobject-introspection: https://gitlab.gnome.org/GNOME/gobject-introspection/issues/243 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Batch dataset.put and dataset.delete. Like dataset.get, there should be a dataset.delete and dataset.put that accepts a list of keys / entities. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: support for predefined ACL to be set directly on the upload request This is a follow-up to #651. This request may be a bit too early, as it will only really matter when #1185 is fixed. Right now with `blob.acl.save_predefined` the object ACL can be set to a predefined value separately, like the _metadata_ can be with `blob.patch`. The idea is to set everything with the upload request, to not have separate request. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: None configuration variables being converted to 'None' Unspecified parameters in airflow.cfg are being returned as 'None' instead of None. For example, try creating an airflow.cfg without a core > plugins_folder configuration and then fire up python ``` >>> from airflow import configuration >>> configuration.get('core', 'airflow_home') '/data/airflow' >>> configuration.get('core', 'plugins_folder') 'None' ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: Replace `conda.auxlib.collection.frozendict` with vendored `frozendict` ### What is the idea? We are using two implementations of `frozendict`. A slim version via `conda.auxlib.collection` and the complete one via the vendored `frozendict` package. We should identify why and whether there's a reason to continue doing so. ### Why is this needed Cut down on \"duplicate\" code. ### What should happen? Remove `conda.auxlib.collection.frozendict`. ### Additional Context _No response_ Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Change 'name' parameter to job constructors -> 'job_name' See: https://github.com/GoogleCloudPlatform/gcloud-python/pull/1263/files#r46738307 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Meson detects wrong framework for includes on macOS When detecting the Qt dependency, which are `.framework`s on macOS, Meson sometimes detects the wrong `.framework` and uses that instead of the real one: ``` c++ -Imodules/modules@@qt_plugin@sha -Imodules -I../VLC/modules -I. -I../VLC/ -I../VLC/include -I/Applications/Qt/5.10.1/clang_64/lib/QtCore.framework.dSYM/Headers -I/Applications/Qt/5.10.1/clang_64/lib/QtGui.framework/Headers -flto -Xclang -fcolor-diagnostics -pipe -Wall -Winvalid-pch -Wnon-virtual-dtor -std=gnu++11 -O2 -g -mmacosx-version-min=10.10 -DHAVE_CONFIG_H=1 -F/Applications/Qt/5.10.1/clang_64/lib -F/Applications/Qt/5.10.1/clang_64/lib -MD -MQ 'modules/modules@@qt_plugin@sha/gui_qt_dialogs_provider.cpp.o' -MF 'modules/modules@@qt_plugin@sha/gui_qt_dialogs_provider.cpp.o.d' -o 'modules/modules@@qt_plugin@sha/gui_qt_dialogs_provider.cpp.o' -c ../VLC/modules/gui/qt/dialogs_provider.cpp ``` As you can see, for the include it tries to use `/Applications/Qt/5.10.1/clang_64/lib/QtCore.framework.dSYM/Headers` in one case, which is the path to the dSYM bundle that contains debug information, not the Qt Core framework. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: latest 4.3.x (4.3.18-37-g79f86d4c) not picking up conda-build subcommands From conda-build's test suite: ``` ________________________________ test_skeleton_pypi ________________________________ Traceback (most recent call last): File \"/home/dev/code/conda-build/tests/test_published_examples.py\", line 15, in test_skeleton_pypi check_call_env(cmd.split()) File \"/home/dev/code/conda-build/conda_build/utils.py\", line 670, in check_call_env return _func_defaulting_env_to_os_environ(subprocess.check_call, *popenargs, **kwargs) File \"/home/dev/code/conda-build/conda_build/utils.py\", line 666, in _func_defaulting_env_to_os_environ return func(_args, **kwargs) File \"/opt/miniconda/lib/python2.7/subprocess.py\", line 541, in check_call raise CalledProcessError(retcode, cmd) CalledProcessError: Command '['conda', 'skeleton', 'pypi', 'pyinstrument']' returned non-zero exit status 2 ------------------------------- Captured stderr call ------------------------------- usage: conda [-h] [-V] command ... conda: error: argument command: invalid choice: u'skeleton' (choose from u'info', u'help', u'list', u'search', u'create', u'install', u'update', u'upgrade', u'remove', u'uninstall', u'config', u'clean', u'package') ``` This seems to happen only with python 2.7, not 3.6: https://travis-ci.org/conda/conda-build/builds/232848688 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: numpy.isrealobj('a string') is True ! numpy.isrealobj('a string') is True ! and various other inconsistencies between isrealobj, isreal and iscomplexobj ### Reproducing code example: ``` $ python3 Python 3.4.9 (default, Aug 14 2018, 21:28:57) [GCC 4.8.5 20150623 (Red Hat 4.8.5-28)] on linux Type \"help\", \"copyright\", \"credits\" or \"license\" for more information. >>> import numpy >>> numpy.version.version '1.10.4' >>> numpy.isrealobj('a string') True >>> numpy.iscomplexobj('1+1j') False >>> numpy.isrealobj(False) True >>> numpy.iscomplexobj(False) False >>> numpy.isreal('1.0') False >>> numpy.isreal(True) True >>> numpy.isreal({'a':'1','b':1}) True ``` ### Error message: ### Numpy/Python version information: 1.10.4 3.4.9 (default, Aug 14 2018, 21:28:57) [GCC 4.8.5 20150623 (Red Hat 4.8.5-28)] Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Notebook CasperJS tests [ not for 1.0 ] This PR is a starting point for testing the notebook with CasperJS. See also: https://github.com/ipython/ipython/wiki/IPEP-14:-Notebook-Regression-Tests Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Single bad kernelspec JSON causes all kernels to not work If a single kernelspec files has a problem (invalid JSON) right now, no kernels will show up in the notebook. We need to add better error logic so that the remaining kernels run fine and that we at least show a good error message in the notebook-starting terminal. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Need a data structure to list the gates on qubits ### What is the expected behavior? Every qubit wire is given a list stores the gates operated on it in order. It will help DAGCircuit manipulation. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Upgrade pyyml  Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Fix optimal_num_iterations ### Information - **Qiskit Terra version **: master - **Python version**: 3.8.5 - **Operating system**: MacOS Catalina 10.15.7 ### What is the current behavior? The current code is based on the inequality (6.17) p254 of Nielsen & Chung (3rd printing 2017). This is actually an 'elegant upper bound' for the number of iterations required, which is not necessarily optimal. https://github.com/Qiskit/qiskit-terra/blob/0fc83f44a6e80969875c738b2cee7bc33223e45f/qiskit/algorithms/amplitude_amplifiers/grover.py#L260-L270 ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions The optimal number is obtained with the equality of (6.15) p253. ```python amplitude = np.sqrt(num_solutions / 2 ** num_qubits) optimal = round(np.arccos(amplitude) / (2 * np.arcsin(amplitude))) ``` For instance, the upper bound and the optimal are different as follows for `num_qubits=7` ```python num_qubits = 7 for num_solutions in range(1, 2 ** num_qubits): upper = math.floor(np.pi * np.sqrt(2 ** num_qubits / num_solutions) / 4) amplitude = np.sqrt(num_solutions / 2 ** num_qubits) optimal = round(np.arccos(amplitude) / (2 * np.arcsin(amplitude))) if (upper != optimal): print('{0:>4d} {1:>4d} {2:>4d}'.format(num_solutions, upper, optimal)) ``` ``` 19 2 1 64 1 0 65 1 0 66 1 0 67 1 0 68 1 0 69 1 0 70 1 0 71 1 0 72 1 0 73 1 0 74 1 0 75 1 0 76 1 0 77 1 0 78 1 0 ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Core mode still loads dynamic extensions ## Description `jupyter lab --core-mode` loads dynamic extensions ## Reproduce 1. Install jupyterlab 3.0b1 and a dynamic extension 2. `jupyter lab --core-mode`. It claims \"Running the core application with no additional extensions or settings\" 3. Note that the dynamic extension is active ## Expected behavior Not sure. Definitely we should change the claim if we are going to load dynamic extensions. If `--core-mode` is really like a safe mode, perhaps we don't load dynamic extensions. ## Context - JupyterLab version: JupyterLab 3.0b1 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: Add enum with allowed data types for use in Schema I received a feature request internally for an enum with allowed data types for use in SchemaField. The string values should match the [names of the BigQuery legacy SQL data types](https://cloud.google.com/bigquery/data-types#legacy_sql_data_types ), but we could potentially add additional constants using the [standard SQL data type names](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types), but still the legacy SQL string value. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: DAGCircuit.apply_operation_back sometimes applies operation front From discussions with @gadial , there seems to be some issues with the `DAGCircuit`s returned by `DAGCircuit.layers` which can lead to inconsistent behavior, e.g. they cannot be drawn with the `dag_drawer` and calls to `apply_operation_back` will not consistently add gates to the end of the dag. e.g. ``` for i in range(10): qc = QuantumCircuit(qr) qc.x(0) dag = circuit_to_dag(qc) d1 = list(dag.layers())[0]['graph'] #dag_drawer(d1) # <= raises with 'KeyError: 'name'' d1.apply_operation_back(IdGate(), [qr[0]], []) print(dag_to_circuit(d1)) ``` will generate ``` ┌───┐┌────┐ qr_0: |0>┤ X ├┤ Id ├ └───┘└────┘ ┌───┐┌────┐ qr_0: |0>┤ X ├┤ Id ├ └───┘└────┘ ┌───┐┌────┐ qr_0: |0>┤ X ├┤ Id ├ └───┘└────┘ ┌───┐┌────┐ qr_0: |0>┤ X ├┤ Id ├ └───┘└────┘ ┌────┐┌───┐ qr_0: |0>┤ Id ├┤ X ├ └────┘└───┘ ┌────┐┌───┐ qr_0: |0>┤ Id ├┤ X ├ └────┘└───┘ ┌───┐┌────┐ qr_0: |0>┤ X ├┤ Id ├ └───┘└────┘ ┌───┐┌────┐ qr_0: |0>┤ X ├┤ Id ├ └───┘└────┘ ┌───┐┌────┐ qr_0: |0>┤ X ├┤ Id ├ └───┘└────┘ ┌────┐┌───┐ qr_0: |0>┤ Id ├┤ X ├ └────┘└───┘ ``` This seems to be constrained to the `DAGCircuit`s built by `dag.layers()`, repeating the above on the original dag without going through `layers` consistently generates `X-Id`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Pulse: seconds_to_samples() fails when passed an array ### Information - **Qiskit Terra version**: 0.16.1 - **Python version**: 3.7 - **Operating system**: Linux (under WSL) ### What is the current behavior? Passing a numpy array to ``qiskit.pulse.seconds_to_samples()`` raises an error: ``TypeError: only size-1 arrays can be converted to Python scalars``. ### Steps to reproduce the problem Run the following test script: ```python import numpy as np import qiskit.pulse as qp import qiskit.test.mock.fake_openpulse_2q as be with qp.build(be.FakeOpenPulse2Q()) as test: times_s = np.array([1e-6, 1e-5]) time_dt = qp.seconds_to_samples(times_s) ``` Traceback: ``` $ python ./test_qp_seconds_to_samples.py Traceback (most recent call last): File \"./test_qp_seconds_to_samples.py\", line 7, in time_dt = qp.seconds_to_samples(times_s) File \"/nix/store/0wf80vpsyn5jmnarclzmdblwyaanhpw0-python3.7-qiskit-terra-0.16.1/lib/python3.7/site-packages/qiskit/pulse/builder.py\", line 665, in seconds_to_samples return int(seconds / active_backend().configuration().dt) TypeError: only size-1 arrays can be converted to Python scalars ``` ### What is the expected behavior? Based on the function signature, this should convert a list of numpy values from seconds to \"dt\". https://github.com/Qiskit/qiskit-terra/blob/ce15f8a5522ff2be865b6520659171288cbae43d/qiskit/pulse/builder.py#L731-L742 ### Suggested solutions Either change the function signature, or have conditional logic based on the type of the input argument ``seconds``: i.e. only apply ``int(result)`` if ``not isinstance(seconds, np.ndarray))`` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: multivariate_normal unexpected variances Hello! multivariate_normal does not produce the variances that I would expect. I checked the output of the multivariate_normal function in Numpy, which does provide the behaviour I expected. In the code, I perform a sanity check that the covariance matrix is indeed positive definite (symmetric, positive eigenvalues), get 10.000 samples and calculate the variances. ``` import jax.numpy as np import numpy as onp from jax import random N = 10000 cov_list = [[ 0.19, 0., -0.13, 0.], [ 0., 0.19, 0., -0.13], [-0.13, 0., 0.19, 0.], [ 0., -0.13, 0., 0.19]] cov_np = np.array(cov_list) cov_onp = onp.array(cov_list) mean_np = np.zeros(4) mean_onp = onp.zeros(4) positive_eig = (onp.linalg.eigvals(cov_onp) > 0.).all() symmetric = ((cov_onp - cov_onp.T) == 0.).all() print('Covariance matrix is symmetric:', symmetric, '\\nAll eigenvalues are positive:', positive_eig) out_onp = onp.random.multivariate_normal(mean_onp, cov_onp, N) var = out_onp.var(axis=0) print('\\nNumpy: Variance of samples \\n', var) key = random.PRNGKey(0) out_np = random.multivariate_normal(key, mean=mean_np, cov=cov_np, shape=(N,)) var = out_np.var(axis=0) print('\\nJax: Variance of samples \\n', var) ``` The resulting output is as follows: ``` Covariance matrix is symmetric: True All eigenvalues are positive: True Numpy: Variance of samples [0.19001905 0.18978024 0.18641562 0.18503367] Jax: Variance of samples [0.28731692 0.28114378 0.09892643 0.10218105] ``` I get this result on two different machines (Ubuntu 16 and 18). **jax version used** jax 0.1.53 jaxlib 0.1.36 Any idea why this happens? Cheers Christian Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: raise TypeError if wrong job_config type is passed to client job methods (load_table_from_*, query, ...) **Is your feature request related to a problem? Please describe.** It's a somewhat common problem to pass in a `QueryJobConfig` when you meant to create a `LoadJobConfig`. (I've done it!) This results in a difficult-to-debug error from the backend: ``` google.api_core.exceptions.BadRequest: 400 POST https://bigquery.googleapis.com/upload/bigquery/v2/projects/swast-scratch/jobs?uploadType=resumable: Required parameter is missing ``` **Describe the solution you'd like** Instead, let's catch when someone passes in the wrong type to a `job_config` parameter and raise a `ValueError` with a more helpful message like: `Expected a LoadJobConfig for the job_config parameter, but got job_config=....` **Describe alternatives you've considered** - Continue to let the server catch these errors. The error message is unfortunately very difficult to debug, though, because we are sending a job resource of ambiguous type to the API. - Fail somewhere else, such as when we create the resource to send to the API. This is more error-prone and gives us less ability to catch the error at the line that actually caused it. **Additional context** In response to internal issue 121343256. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: gcloud.datastore.helpers.get_protobuf_attribute_and_value() allows out-of-range long integers If I construct an integer too long to encode as a 64-bit integer, get_protobuf_attribute_and_value() does not raise a `ValueError`: ``` >>> gcloud.datastore.helpers.get_protobuf_attribute_and_value >>> too_long = 1 << 63 >>> get_protobuf_attribute_and_value(too_long) ('integer_value', 9223372036854775808L) ``` even though that value is not usable for an 'integer_value' field: ``` >>> from gcloud.datastore.datastore_v1_pb2 import Property >>> pb = Property() >>> pb.value.integer_value = too_long ... File \".../lib/python2.7/site-packages/google/protobuf/internal/type_checkers.py\", line 119, in CheckValue raise ValueError('Value out of range: %d' % proposed_value) ValueError: Value out of range: 9223372036854775808 ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Test failures and docs don't build on Mac OS X Lion I have installed the latest ipython from github (f30a572977be51a1b928788540e323ab9bc9c58f) via `python setup.py install --user`. There are a few test failures and the docs don't build: http://dl.dropbox.com/u/4923986/bug_reports/ipython-tests.log http://dl.dropbox.com/u/4923986/bug_reports/ipython-docs.log Let me know if I should create separate tickets for some of these issues. It's hard for me to tell which are known and which are new. I know that the docs v3 problem wasn't there a few weeks ago. Note that I am using iterm2 (http://www.iterm2.com/, Build 1.0.0.20110821) instead of the default Apple terminal, in case it matters. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the kubeflow/pipelines codebase. Here's the problem: Handling of boolean input types I have a pipeline that has a boolean parameter: ``` def test( param: dsl.PipelineParam = dsl.PipelineParam(name='param', value=True, param_type=TypeMeta('bool')), ) -> None: pass ``` When starting a new pipeline via the UI, the input field is a textbox, prefilled with the input string 'True'. Given that the input value is evaluated using `bool(value)`, the only way to start the pipeline with a `False` value is to leave the input textbox empty. It seems that currently the pipeline does not gracefully handle boolean parameters? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: TST: gcov missing a few files in report @pv correctly [notes](https://github.com/numpy/numpy/pull/11610#issuecomment-414165114) that a few C source files are missing from our coverage report. Digging through a recent [master branch build log](https://travis-ci.org/numpy/numpy/jobs/418332536), I can see some \"warning\" style output for `gcov` of this nature: ``` ./_configtest.gcda:stamp mismatch with notes file ./build/temp.linux-x86_64-3.6/numpy/core/src/dummymodule.gcda:cannot open data file, assuming not executed ./build/temp.linux-x86_64-3.6/numpy/core/src/private/mem_overlap.gcda:stamp mismatch with notes file ./build/temp.linux-x86_64-3.6/numpy/core/src/private/npy_longdouble.gcda:stamp mismatch with notes file ./build/temp.linux-x86_64-3.6/numpy/core/src/private/ufunc_override.gcda:stamp mismatch with notes file ./empty/_configtest.gcda:cannot open data file, assuming not executed ``` Possible solutions to this issue [have been discussed elsewhere](https://stackoverflow.com/a/30031809/2942522) & appear related to build / machine time stamps relative to tests. When I test locally, this is not reproduced; my current idea is to first open a PR that tries one of the simpler solutions -- i.e., using `find` to recursively touch the generated `*.gcda` files. I'll first see if I can reproduce the issue locally by touching the `*.c` and `*.gcno` files before running `gcov` recursively so that the timestamps are messed up. It looks like one user reports that [`touch` may not suffice](https://stackoverflow.com/questions/27276155/gcov-generates-empty-coverage-for-c#comment53743033_30031809) because the timestamp is actually embedded in the `gcda` files -- I'll have to check this. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: BUG: setup.py does not build if egg-info is specified This command fails to make numpy build ``` python setup.py egg-info build install ``` But this works fine: ``` python setup.py egg-info python setup.py build python setup.py install ``` As the presence of `egg-info` causes builds to be skipped Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Pubsub message timestamp broken The message timestamp for pubsub is fully broken - it is looking for the timestamp in a message attribute, but per the docs, it is a primary field of the message resource. [https://github.com/GoogleCloudPlatform/gcloud-python/blob/master/gcloud/pubsub/message.py#L51](https://github.com/GoogleCloudPlatform/gcloud-python/blob/a5aeb33cc3cfc16b5daf8d4fe092fddd9fe39e43/gcloud/pubsub/message.py#L51) the docs - clearly reference in source comments point to where the timestamp actually is: https://cloud.google.com/pubsub/reference/rest/v1/PubsubMessage **In API explorer, here is the returned value:** ``` cache-control: private content-encoding: gzip content-length: 322 content-type: application/json; charset=UTF-8 date: Thu, 17 Mar 2016 01:20:32 GMT server: ESF vary: Origin, X-Origin, Referer { \"receivedMessages\": [ { \"ackId\": \"Pn4qKUVBXkASTCEcRElTK0MLKlgRTgQhIT4wPkVTRFAGFixdRkhRNxkIaFEOT14jPzUgKEUXC1MTUVx2BFgQajNcdQdRDRh3fml3aFhCAwBNWX5VWzM9SmJddgRYChl1eGB3aVIbASrfoMQWZhk9XBJLLA\", \"message\": { \"data\": \"dGhpcyBpcyB0aGUgbWVzc2FnZV9wYXlsb2FkMg==\", \"messageId\": \"13397075123880\", \"publishTime\": \"2016-03-17T01:13:41.166Z\" } } ] } ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Missing support for --shm-size Support for a configurable /dev/shm size was added in docker/docker#16168 as part of Docker 1.10 (API version 1.22). I am currently running into an issue where I need a larger /dev/shm size in a project that is managed by docker-compose and I am unable to configure it when running containers via docker-compose. It should be similar to fields like `mem_limit` for actual implementation. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: [Notebook] Clear kernel queue In kernel.js, execution callback Queue keep growing in size even when callback are no more needed. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: autoreload of __mp_main__ failed when running script This is a continuation of #8564. After modifying a script, re-running it produces the following error: ```python In [2]: run foo [autoreload of __mp_main__ failed: Traceback (most recent call last): File \"/home/luke/software/python/miniconda/envs/nsp2/lib/python3.6/site-packages/IPython/extensions/autoreload.py\", line 247, in check superreload(m, reload, self.old_objects) AttributeError: module has no attribute '__name__' ] ``` This occurs when using both `%autoreload 2` and `c.InteractiveShell.deep_reload = True`. The merged fix, #8568, hasn't improved the issue for me. I've had a local workaround for a while: see my comment [here](https://github.com/ipython/ipython/issues/8564#issuecomment-150321942). I'll submit a pull request shortly. System information: ``` python -c \"import IPython; print(IPython.sys_info())\" {'commit_hash': '5a894b9', 'commit_source': 'installation', 'default_encoding': 'UTF-8', 'ipython_path': '/home/luke/software/python/miniconda/envs/nsp2/lib/python3.6/site-packages/IPython', 'ipython_version': '5.3.0', 'os_name': 'posix', 'platform': 'Linux-4.8.0-34-generic-x86_64-with-debian-stretch-sid', 'sys_executable': '/home/luke/software/python/miniconda/envs/nsp2/bin/python', 'sys_platform': 'linux', 'sys_version': '3.6.0 |Continuum Analytics, Inc.| (default, Dec 23 2016, ' '12:22:00) \\n' '[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]'} ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: FireStore: Saving items that have both empty object values and SERVER_TIMESTAMP results in missing attributes. When saving data to firestore with an attribute that is an empty `{}`: if the date fields are `firestore.SERVER_TIMESTAMP` then the field with an empty `{}` is not persisted to the db but if the date fields are `Datetime` instances then the empty object fields are persisted. ### OS type and version 1) MacOS 10.13.6 (17G2307) 2) DOCKER container: Linux version 4.9.93-linuxkit-aufs (root@856d34d1168e) (gcc version 6.4.0 (Alpin e 6.4.0) ) #1 SMP Wed Jun 6 16:55:56 UTC 2018 ### Python version and virtual environment information `python --version` Python 3.6.6 ### google-cloud-python versions google-api-core==1.3.0 google-auth==1.5.1 google-cloud-core==0.28.1 google-cloud-firestore==0.29.0 google-cloud-storage==1.11.0 google-resumable-media==0.3.1 ### Stacktrace if available NA ### Steps to reproduce 1) save to the db: ```python data = { 'date_created': firestore.SERVER_TIMESTAMP, 'date_modified': firestore.SERVER_TIMESTAMP, 'resources': {} } transaction.set( reference, data, option=db.write_option(exists=False), ) ``` 2) look in firestore and notice `resources` attribute is not present. save with `date_created` and `date_modified` = `datetime.datetime.utcnow()` and `resources` attributes is set with an empty object value. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: [Firestore] implement `__eq__` for public api types. None of the public API types implement isEquals (__eq__) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Swin Transformer V2 ### Model description [Swin Transformer V2: Scaling Up Capacity and Resolution](https://arxiv.org/pdf/2111.09883.pdf) repo origin: [Swin Transformer V2](https://github.com/microsoft/Swin-Transformer#updates) repo timm: [Swin Transformer V2](https://github.com/rwightman/pytorch-image-models/blob/master/timm/models/swin_transformer_v2.py) all the model the pretrain is ready ### Open source status - [X] The model implementation is available - [X] The model weights are available ### Provide useful links for the implementation repo origin: [Swin Transformer](https://github.com/microsoft/Swin-Transformer#updates) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Proposal: `fig rm -f` shortcut for `fig rm --force` Would it be possible to create a shortcut for `fig rm --force`? That would be cool to type four letters less :) Currently, the output looks as follows: ``` $ fig rm -f Remove stopped service containers. Usage: rm [options] [SERVICE...] Options: --force Don't ask to confirm removal -v Remove volumes associated with containers ``` Thanks, Pawel Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [Bug] Error on editable package if 'build_folder' is in layout file Since the arrival of workspaces, a layout file can contain a `build_folder` section. Nevertheless, this layout fails if used with an editable package (not inside a workspace). Test provided by @lasote ([source](https://github.com/conan-io/conan/compare/develop...lasote:test/graph_info_crash?expand=1)): ```python def test_editable_crash(self): ref = ConanFileReference.loads(\"lib/1.0@conan/stable\") client = TurboTestClient() client.create(ref) save(os.path.join(client.current_folder, \"mylayout\"), textwrap.dedent(\"\"\" [build_folder] build \"\"\")) client.run(\"editable add . {} --layout mylayout\".format(ref)) client.change_to_clean_folder() ref2 = ConanFileReference.loads(\"lib2/1.0@conan/stable\") conanfile2 = GenConanfile().with_requirement(ref) client.create(ref2, conanfile=conanfile2) ``` The problem is that we get to the `BinaryInstaller::_handle_node_editable` function without a `graph_info`, but with a `build_folder` in the layout: ```python def _handle_node_editable(self, node, graph_info): ... if build_folder is not None: ... graph_info.save(build_folder) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: c++ has_header_symbol doesn't work (at all?) A couple of cases I tried when checking for the existence of a c++ symbol didn't seem to work correctly. e.g. a basic check for the existence of 'int' in 'cstdio' fails with: Command line: ccache c++ /tmp/tmpvyiil7cr/testfile.cpp -O0 -c -o /tmp/tmpvyiil7cr/output.exe Code: # include int main () { int; } Compiler stdout: /tmp/tmpvyiil7cr/testfile.cpp: In function ‘int main()’: /tmp/tmpvyiil7cr/testfile.cpp:3:15: error: declaration does not declare anything [-fpermissive] int main () { int; } ^~~ That's before we even start dealing with classes and templates ;) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Add support for registry authentication I was having issues with the cert chain, so I followed what is on this thread for docker-osx: https://github.com/dotcloud/docker/issues/3683 . I'm able to do a docker login just fine using a new binary on mac os x. However when using fig and having the Dockerfile pull from the same private registry I get the following error using fig build: Step 1 : FROM ssl-repo.com/image Pulling repository ssl-repo.com/image Error: Authentication is required. Does fig read the .dockercfg? Any other ideas on what the issue could be here? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: QuantumCircuit.append(custom_gate, label='foo') overwrites earlier labels ### Steps to reproduce the problem ``` >>> import qiskit as qk >>> hadamard = qk.QuantumCircuit(1) >>> hadamard.h(0) >>> h_gate = hadamard.to_gate() >>> >>> circ = qk.QuantumCircuit(1) >>> circ.append(h_gate, [0], label='Q') >>> circ.append(h_gate, [0], label='P') >>> print(circ) ┌───┐┌───┐ q_0: ┤ P ├┤ P ├ └───┘└───┘ ``` ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Generate new profiles file with same structure as conan profile show To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. ``` $ conan profile new test_profile --detect ``` generates profile file with content: ``` [build_requires] [settings] os=Windows os_build=Windows arch=x86_64 arch_build=x86_64 compiler=Visual Studio compiler.version=14 build_type=Release [options] [env] ``` However, when showing a profile it looks like: ``` $ conan profile show test_profile Configuration for profile test_profile: [settings] os=Windows os_build=Windows arch=x86_64 arch_build=x86_64 compiler=Visual Studio compiler.version=14 build_type=Release [options] [build_requires] [env] ``` It would be better to generate the profile file content with same order and identation of the ``$ conan profile show`` command Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Log training metrics for each epoch Currently, I am able to log training metrics to Tensorboard using: ``` import pytorch_lightning as pl from pytorch_lightning.loggers import TensorBoardLogger logger = TensorBoardLogger(save_dir=save_dir, name=\"my_model\") [...] trainer = pl.Trainer(logger=logger) ``` This logs training metrics (loss, for instance) after each batch. I would like to be able to average these metrics across all batches and log them to TensorBoard only once, at the end of each epoch. This is what the `validation_end` method does in your example: https://github.com/PyTorchLightning/pytorch-lightning/blob/446a1e23d7fe3b2e07f1a5887fe819d0dfa7d4e0/pl_examples/basic_examples/lightning_module_template.py#L145. I first thought about writing my own `training_end` method. But this method is called after each batch instead of being called at the end of an epoch (as I would have thought). The method `on_epoch_end` seems interesting but does not receive an `outputs` argument as `training_end` does. Basically, in my model, I would like to write something like: `self.logger.experiment.add_scalar('training_loss', train_loss_mean, global_step=self.current_epoch)`, but I do not know where to put this line. - OS: Debian GNU/Linux 9.11 (stretch) - Packaging: PIP - Version 0.6.1.dev0 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: conda 4.4 sort key prioritizes build string over build number Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add release notes for transpiler passes with control-flow support As part of our larger move towards more dynamic circuits, Erick (@ewinston) has been upgrading various transpiler passes to support the control-flow operations `IfElseBlock`, `ForLoopOp` and `WhileLoopOp`. These features aren't completely or stable yet, so we're not publicising them in the release notes in 0.21. This issue is a tracking issue for the next milestone, to remind us to write and publish them. See: - #7768 - #7808 - #8193 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: conan copy fails if no packages exist as os.listdir() in manager.pyL354 does not exist Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Avoid merge conflicts in CHANGELOG.md With the current changelog policy (add an entry as part of the PR, all in one file) it's quite easy to run into merge conflicts as features are developed concurrently. This is not a problem unique to Prefect, many projects have run into this issue. There are three common solutions: - Add a custom merge strategy for the `CHANGELOG.md` file (`merge=union`) to better handle these conflicts. This will usually work, but *may* run into issues if concurrently added features have very similar lines. - Split the changelog into file-per-feature, and use a tool ([towncrier](https://towncrier.readthedocs.io/en/actual-freaking-docs/quickstart.html) is popular) to generate the final changelog from this before release. - Add a bunch of filler entries (e.g. empty `-` list rows), and rely on developers adding entries in different spots to avoid merge conflicts. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: [RFC] custom variable in CustomTargetHolder to identify targets I'm trying to get automatically detect custom targets (like GObject introspection) targets to add them to rpm filelists, but I don't want to introspect `target.get_custom_install_dir()` and generate girepository variable again because duplicating code. I think we want to add empty variable in custom target holder and set it automatically or force in code of our modules (don't know how better) to `modname.CapitalizedFunction` or something like this. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: meson test --verbose doesn't write out testlog.txt If running tests with --verbose option, meson doesn't write out testlog.txt (or apparently .json neither). That seems to be undesired behaviour and it should still be written out (it seems they contain more information than what gets outputted verbosely). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: mapper tests failing ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? Mapper tests are failing because `seed` was removed in favor of `seed_transpiler`. The saved pickle files are preventing us from seeing the failures. Run: `python -m test.python.transpiler.test_mappers regenerate` I think we need to re-evaluate using pickles for tests. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: END key no longer reliably working as expected Having recently updated to iPython 8.2.0 I noticed that my end key is no longer consistently working as expected. Occasionally it will become unresponsive. I'm guessing this is related to the recent addition of [Adding and \"End\" key binding for applying an auto suggestion](https://github.com/ipython/ipython/pull/13566) This mainly occurs when I'm in iPython working with SQLAlchemy code. It \"feels\" like the end key is trying to autocomplete instead of move to the end of the line, even though there is nothing to autocomplete. If I revert to 8.1.1 I no longer experience this issue. `Python 3.8.10` ``` ipython 8.2.0 prompt-toolkit 3.0.29 ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: All timeoutable public methods should accept a retry argument Related: #9987. For consistency, if a public method accepts a `timeout` argument, it should also accept a `retry` argument. This is already the case with most of the methods, with two exceptions: - `Client.get_service_account_email()` - `_AsyncJob.cancel()` These two methods should not call `client._connection.api_request()` directly, but instead the `Client._call_api()` method that wraps the former with an optional `retry` object. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: QuantumCircuit.copy doesn't copy metadata ### Information - **Qiskit Terra version**: 0.17 - **Python version**: - **Operating system**: ### What is the current behavior? `QuantumCircuit.copy()` is supposed to return a deep copy of a circuit, however if the circuit has a metadata dictionary it is not copied, hence if the copy metadata is modified, these changes affect the original circuit too. ### Steps to reproduce the problem Basic example ```python from qiskit import QuantumCircuit qc1 = QuantumCircuit(1) qc1.metadata = {'a': 0} qc2 = qc1.copy() qc2.metadata['a'] = 1000 print(qc1.metadata) print(qc2.metadata) # Both return {'a': 1000} ``` ### What is the expected behavior? When copying a circuit metadata should also be copied. In the above example the final print statements should return ```python {'a': 0} {'a': 1000} ``` ### Suggested solutions Check how copying is handled in `QuantumCircuit.copy` and update it so that `circ_cpy.metadata = circ.metadata.copy()` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [feature] Return default value for get_safe When an option or setting is optional but used in middle of the recipe, get_safe return None when that element is removed. However, sometimes, we need to check the return to replace it by a default value: ``` class FooConan(ConanFile): options = {\"foo\": [True, False]} ... def configure(self): if self.settings.os == \"Windows\" or not self._is_foo_supported(): del self.options.foo def build(self): cmake = CMake(self) cmake.definitions[\"ENABLE_FOO\"] = self.options.get_safe(\"foo\") or False cmake.configure() cmake.build() ``` It would be nice if `get_safe` could return a default value: cmake.definitions[\"ENABLE_FOO\"] = self.options.get_safe(\"foo\", False) - [ ] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: %profile magic is deprecated but still in the documentation If I try to display my current profile using `%profile`, I get a nice deprecation warning: ```python In [1]: %profile UsageError: The `%profile` magic has been deprecated since IPython 2.0. and removed in IPython 6.0. Please use the value of `get_ipython().profile` instead to see current profile in use. Perhaps you meant to use `%prun` to profile code? ``` This is all well and good, except the only reason I tried it is because of the [current docs](http://ipython.readthedocs.io/en/stable/interactive/magics.html#magic-profile). Should I submit a PR removing that line? Incidentally, I came across this while trying to execute my profile within ptipython. So any suggestions for doing that are welcome! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the gitpython-developers/GitPython codebase. Here's the problem: remote.Remote.urls fails It seems the fix for #694 only works if the current workin directory of the running program is within the git repository. If the current working dir is outside the git repo, then the following (starting at `git/remote.py:557`) ``` result = Git().execute( ['git', 'config', '--get', 'remote.%s.url' % self.name] ) ``` fails with: ``` git.exc.GitCommandError: Cmd('git') failed due to: exit code(1) cmdline: git config --get remote.origin.url ``` remote.Remote.urls fails It seems the fix for #694 only works if the current workin directory of the running program is within the git repository. If the current working dir is outside the git repo, then the following (starting at `git/remote.py:557`) ``` result = Git().execute( ['git', 'config', '--get', 'remote.%s.url' % self.name] ) ``` fails with: ``` git.exc.GitCommandError: Cmd('git') failed due to: exit code(1) cmdline: git config --get remote.origin.url ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Federated bundle (for JLab>=3) and source bundle (for JLlab<3) in 1 pypi package For many python widget libraries, we put the js source tarball in `$prefix/share/jupyter/lab/extensions`. JLab 1 and 2 pick this up, and rebuild. For JLab 3, we want to put the Federated bundles into `$prefix/share/jupyter/labextensions`, e.g.: * https://github.com/glue-viz/bqplot-image-gl/pull/35 * https://github.com/bqplot/bqplot/pull/1222 However, if we want our new distributed python package to work for both JLab versions, not requiring a rebuild on 3, asking for a rebuild on 1 and 2. Is there a way to do this? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: fixed asscalar error on floats fixed error encountered on passing floats to asscalar(). done at HackIllinois 2018 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: activate and powerline don't play nice together I am using [powerline](https://github.com/powerline/powerline) to display the current anaconda environment in my shell. However, when I use `source active MY_ENV ` it doesn't realize that I am already using `powerline` to display the anaconda environment and it appends the current anaconda environment before my `PS1` variable. Effectively it now displays my environment twice in my shell. One trivial workaround for this is to check whether `PS1` is modified by `powerline` before appending the current environment to it. I am happy to file a pull request, but I wanted to check how people feel about this and also if anybody else has any better ideas of how to deal with this. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [REGRESSION][1.13.0] Transitive dependency info not generated Hello, We have tried to upgrade conan 1.13.0 from 1.12.3, but some packages do not build anymore. We managed to reproduce with a small example: [conan-graph-bug.zip](https://github.com/conan-io/conan/files/2960734/conan-graph-bug.zip) The steps to reproduce are in the README.md contained in the zip file. To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: pdb completion menu not honouring prompt_toolkit style The menu colors look different when inside pdb (after %debug) than when outside it. In particular, neither of: ``` Token.Menu.Completions Token.Menu.Completions.Completion Token.Menu.Completions.Completion.Current Token.Menu.Completions.Meta Token.Menu.Completions.Meta.Current Token.Menu.Completions.MultiColumnMeta ``` is taken into account. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: [WIP] Switch from `retworkx` to `rustworkx` ### Summary Related to https://github.com/Qiskit/retworkx/issues/641 `retworkx` will change its name as a courtesy to the NetworkX developers. This is the PR to migrate to the new name in qiskit-terra. Even though `retworkx` will continue working, it is worth migrating to the new name as soon as possible as the old name will be deprecated in two releases. ### Details and comments Depends on `rustworkx` 0.12 (or the new name if it changes) being released to PyPI Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Test displayhook This is a work in progress and the tests will fail. We will fix in a later commit. This is a test for #8002. updated quiet function in the displayhook.py Updated quiet function in the displayhook.py to properly recognize comment and semicolon by using the tokenize module. Thanks to @takluyver for heavy input and assistance in writing this code. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: invalid port specification with 1.12.0 I was using docker-compose 1.11.1 and have now upgraded to 1.12.0. My docker-compose file is version `'2'`. The new version exits with an error: ``` ERROR: for elastic5 Cannot create container for service elastic5: invalid port specification: \"127.0.0.1\" ``` The port specification of elastic5 is: ``` ports: - '127.0.0.1::9200' ``` AFAICS, this should work fine (as it did before upgrading) since it uses the `ip::containerPort` format of the publish option to `docker run`. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Move gcloud.storage.iterator into gcloud's common package We'll need this for Cloud DNS in the ManagedZones.list method (https://developers.google.com/cloud-dns/api/v1beta1/managedZones/list) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Pub/Sub Subscriber Client.subscribe() may drop callback on the floor From [source][1] ```python def subscribe(self, subscription, callback=None, flow_control=()): ... if callable(callback): subscr.open(callback) ``` Instead it should be something like: ```python if callback is not None: if callable(callback): subscr.open(callback) else: raise TypeError('Hey man, that is not, like, callable, man.') ``` [1]: https://github.com/GoogleCloudPlatform/google-cloud-python/blob/cc7da65b4a31d7a33055afe0bd6dc9855c3d6493/pubsub/google/cloud/pubsub_v1/subscriber/client.py#L130-L131 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: Update source_code field of dag_code table to MEDIUMTEXT **Description** Update source_code field of dag_code table to MEDIUMTEXT **Use case / motivation** Lot of dags exceed the limit of 65K characters limit giving error `\"Data too long for column 'source_code' at row 1\"` when enabling webserver to fetch dag_code from db. **Related Issues** Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: CheckCXDirection should only run when `not coupling_map.is_symmetric` _Originally posted by @1ucian0 in https://github.com/Qiskit/qiskit-terra/pull/2316_ Once #2316 is merged, CheckCXDirection should run before CXDirection and only if coupling map is not symmetric. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Consider a push an attribute on the Docker storage option Currently the `push` toggle is on the build function of Docker storage. We should consider moving it to an attribute of the storage class so we can specify push during the deploy step ``` flow.deploy(\"my-project\", registry_url=\"\", push=False) ``` Alternative Idea: what if we set the Docker storage up to simply not attempt a push if a registry url isn't provided? If we went down this route we could also adjust the Local Agent to just not pull if the `storage.registry_url` is absent cc @cicdw Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: No import for `IPython.display.Video`? There is a [`Video` class](https://github.com/ipython/ipython/blob/master/IPython/core/display.py#L1027) but it's not exported: https://github.com/ipython/ipython/blob/master/IPython/core/display.py#L24-L29 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: NLocal initial state still looking for construct_circuit NLocal library circuit says this for initial_state https://github.com/Qiskit/qiskit-terra/blob/ab1539c8179b40b05ff6c921cec84815540c0e06/qiskit/circuit/library/n_local/n_local.py#L101-L102 However passing in a QuantumCircuit as an initial state fails as in the setter its still unconditionally calling construct_circuit https://github.com/Qiskit/qiskit-terra/blob/ab1539c8179b40b05ff6c921cec84815540c0e06/qiskit/circuit/library/n_local/n_local.py#L614-L617 Now maybe we need to keep the construct_circuit option until Aqua is no longer supported. But I think the logic needs altering to allow a QuantumCircuit to be directly passed to still define an initial state. There are also some references to Aqua in the text and in Raises that idealy need addressing too Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Should wrapper kernels have ipython_kernel == True in launcher.py? When running a wrapper kernel, one always sees the scary message: ``` shell $ ipython console --kernel metakernel_python NOTE: When using the `ipython kernel` entry point, Ctrl-C will not work. To exit, you will have to explicitly quit this process, by either sending \"quit\" from a client, or using Ctrl-\\ in UNIX-like environments. To read more about this, see https://github.com/ipython/ipython/issues/2049 To connect another client to this kernel, use: --existing kernel-32663.json IPython Console 3.0.0-dev In [1]: ``` Both of these messages (--existing-kernel and Ctrl+\\) are unnecessary. In tracking down the issue, I see that `ipython_kernel` is False in `IPython.kernel.launcher` and it is true that it is not the official IPython kernel. But this makes it so that parent_handle is 0, and also the interrupt flag is not set. Should it be for wrapper kernels? If not, how can we set these values appropriately? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: DOC: Outdated Numpy Download URL in PyPI record Numpy's PyPI entry: https://pypi.python.org/pypi/numpy contains an outdated Download URL information: Download URL: http://sourceforge.net/projects/numpy/files/NumPy/ Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Typo in Ry Class Doc ## Did you find a doc bug or broken link that needs to be fixed? Yes. - What is the file name(s) where you found the bug? qiskit-terra/qiskit/extensions/standard/ry.py - What is the current text that needs to be fixed or removed? (You can copy and paste) RX(\\theta) = exp(-i \\th Y) - What should the documentation say instead? RY(\\theta) = exp(-i \\th Y) - Are there other related issues or pull requests about this bug? ## Does existing documentation need to be updated with new content? - Which files need to be updated? - What content needs to be updated or replaced? (You can copy and paste) - What new content needs to be added? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [SCM] Support svn We currently use Subversion and want to make use of the source() method for retrieving the _exact_ source for the package i.e. we don’t want to use exports_sources due to it only being a snapshot and we can’t use the scm attribute. We also want our source co-located with the recipe. Therefore we would like something similar to the following in our repo: - conanfile.py - include - foo.h - lib - foo.cpp Within the recipe we would have something like: NOTE: pseudo code ``` def source(self): svn co url-to-check-out . def build(self) # make sure we have the latest source svn update # now build cmake = CMake(self) … ``` Question 1: This appears to be against recommended practice, i.e. exports_sources appears to be recommended for co-located source and recipe. So, is this a bad idea? If so, why? Question 2: For active development, we think we will need to do ‘svn update’ within the build() method due to the caching of source. Is this a bad idea? We actually agree with @liberforce and the issue described within #3084, in that it appears strange there is no way to override the caching of source as during active development the source will change often (tracking HEAD) but the recipe will not. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Retry on errors in GraphQL payload ## Current behavior *Please describe how the feature works today* As it exists today, the Prefect client retries requests to the API when it receives a 500, 502, 503, or 504 from the API. ## Proposed behavior *Please describe your proposed change to the current behavior* Server and Cloud serve a GraphQL API. By design, GraphQL APIs return 200s even when returning errors. Allowing the Prefect client to retry on `API_ERROR` events as well as the 500 codes mentioned above would help build resilience in the event of transient API or connectivity errors. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: latex drawer: missing gates and params ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? ```python from qiskit import QuantumRegister, QuantumCircuit qr = QuantumRegister(3) qc = QuantumCircuit(qr) qc.h(qr[0]) qc.cu1(0.1, qr[1], qr[0]) qc.cu1(0.2, qr[2], qr[0]) qc.h(qr[1]) qc.cu1(0.3, qr[1], qr[2]) qc.h(qr[2]) qc.draw(output='latex') ``` results in two missing hadamards and a missing parameter (0.1)  The culprit is #1977. Before that commit, it shows correctly (except for the bad spacing which is a separate issue (#693):  Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Instruction comparison fails when parameters are arrays ### Information - **Qiskit Terra version**: 0.8.2 - **Python version**: 3.6 - **Operating system**: Linux ### What is the current behavior? Comparing two instructions that have matrix parameters fails ungracefully with `ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()` Matrix parameters for instructions are currently generated when converting Aer's errors to instructions. ### Steps to reproduce the problem The following code raises this error: ``` from qiskit import QuantumRegister, QuantumCircuit from qiskit.providers.aer.noise.errors.standard_errors import pauli_error qr = QuantumRegister(1, 'qr') circuit = QuantumCircuit(qr) error = pauli_error([('X', 0.25), ('I', 0.75)]) circuit.append(error.to_instruction(), [qr[0]]) circuit == circuit ``` ### What is the expected behavior? Correct element-by-element comparison of the matrices, using `numpy.isclose` for almost-identical matrices. ### Suggested solutions [Line 99](https://github.com/Qiskit/qiskit-terra/blob/fae93bc413e5f62b756d58e81d215f1c342bc848/qiskit/circuit/instruction.py#L99 ) in instruction.py needs to be modified; it seems type-checking the parameter is needed (maybe `isinstance(self_param, numpy.ndarray?). For Numpy arrays `numpy.equal` and `numpy.isclose` works and returns a boolean array of results, on which `all()` can be used. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: allow using variables from docker-compose.env in volume paths (and other configs in docker-compose.yml) I know that it is already possible to use shell environment variables which will expand in the definition of e.g. the path of a mount volume ``` volumes: - \"$SOLR_HOME:/opt/solr/home\" ``` But to set all the environment variables I need, this forces me to write some shell wrappers around the invocation of docker-compose (a one liner, admittedly, but I am a lazy bum...) Since I already use a docker-compose.env file to define variables which are used in the construction of the containers, I wonder: would it make sense to expand the variables in the docker-compose.env file so that they are available in docker-compose.yml ? (apart from an obvious loop problem of using them to define the value for 'env_file'...) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Fix main webpack command Previously relied on `extension-builder` having been built. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: train_new_from_iterator missing from GPT2Tokenizer ## Environment info - `transformers` version: 4.15.0 - Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic - Python version: 3.7.12 - PyTorch version (GPU?): 1.10.0+cu111 (False) - Tensorflow version (GPU?): 2.7.0 (False) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: NA - Using distributed or parallel set-up in script?: NA ### Who can help Library: - Tokenizers: @LysandreJik Examples: - research_projects/codeparrot: @lvwerra ## Information Model I am using (Bert, XLNet ...): GPT2Tokenizer The problem arises when using: * [x] the official example scripts: (give details below) * [ ] my own modified scripts: (give details below) Was using the official research project script for codeparrto to train a new BPE tokenizer with the GPT2Tokenizer as the base: https://github.com/huggingface/transformers/blob/master/examples/research_projects/codeparrot/scripts/bpe_training.py ## To reproduce Steps to reproduce the behavior: run the following colab: https://colab.research.google.com/drive/1G34QEjP9oNfcP_w_JO6DEnJuUTOsZe_D?usp=sharing ## Expected behavior To be able to train a new GPT2Tokenizer from an iterator. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Extract layout from mapping passes Layout should be established during the embed stage of the transpiler, but several mapping passes have logic to establish their own layouts or change the layout provided. These should be extracted into their own passes and mappers should instead rely on the layouts set in the property_set. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: backward pass of scan is very slow to compile in CPU The following script took more than 1 minute to compile in my system (with the newest versions of jax & jaxlib). A very strange phenomenon is: compiling time will be reduced to `2s` for some random changes (e.g. replacing `0.5 * level` by `level`) in the body function. ``` import jax.numpy as np from jax import jit, grad, lax from jax.config import config; config.update(\"jax_platform_name\", \"cpu\") def f(s): def scan_fn(carry, y_t): level, s = carry exp_val = (level + 2 * level ** 0.5) * s[0] exp_val = np.clip(exp_val, a_min=0) level = y_t / s[0] + 0.5 * level s = y_t / level + 0.5 * s return (level, s), exp_val return lax.scan(scan_fn, (1., s), np.ones(80))[1].sum() jit(grad(f))(np.ones(2)) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: generators should not be accepted as values for the shape argument of numpy functions ```python3 import numpy as np shape = (1 for _ in range(4)) np.zeros(shape) ``` results in `TypeError: expected sequence object with len >= 0 or a single integer` whereas ```python3 import jax.numpy as np shape = (1 for _ in range(4)) np.zeros(shape) ``` just runs through and produces `array([[[[0.]]]], dtype=float32)`. This however can lead to bugs that are hard to find, because calling `np.zeros(shape)` a second time will create `array(0., dtype=float32)` Conclusion: `jax.numpy` should behave like `numpy` and should also through a TypeError generators should not be accepted as values for the shape argument of numpy functions ```python3 import numpy as np shape = (1 for _ in range(4)) np.zeros(shape) ``` results in `TypeError: expected sequence object with len >= 0 or a single integer` whereas ```python3 import jax.numpy as np shape = (1 for _ in range(4)) np.zeros(shape) ``` just runs through and produces `array([[[[0.]]]], dtype=float32)`. This however can lead to bugs that are hard to find, because calling `np.zeros(shape)` a second time will create `array(0., dtype=float32)` Conclusion: `jax.numpy` should behave like `numpy` and should also through a TypeError Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: Error message when no conanfile was found is confusing When no conanfile is found, a message such as ``` ERROR: Conanfile not found: D:\\Foo\\conanfile.txt ``` is displayed. There is no reference to a conanfile.py that was considered (and is also missing). To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Deprecate MSGate in favor of GMS ### What is the expected enhancement? `standard_gates/MSGate` has been superseded by `generalized_gates/GMS` and so can be deprecated. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: conda 4.4.3 unconditionally attempts to write to HOME, even when not necessary Steps to reproduce: ``` root@922395dccc83:~# sudo -u jenkins /opt/conda/bin/conda install -q -y conda Package plan for installation in environment /opt/conda: The following packages will be UPDATED: conda: 4.3.31-py36_0 --> 4.4.3-py36_0 pycosat: 0.6.2-py36h1a0ea17_1 --> 0.6.3-py36h0a5515d_0 root@922395dccc83:~# sudo -u jenkins /opt/conda/bin/conda install -q -y numpy Solving environment: ...working... failed NotWritableError: The current user does not have write permissions to a required path. path: /root/.conda/pkgs/urls.txt uid: 1014 gid: 1014 If you feel that permissions on this path are set incorrectly, you can manually change them by executing $ sudo chown 1014:1014 /root/.conda/pkgs/urls.txt ``` In older versions of Conda, it would not attempt to write to HOME when installing packages. The end user here can easily solve the problem by passing `-H` to `sudo` (thus causing HOME to be set correctly in this case). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: ParametricPulse hash generates random numbers ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? ```python from qiskit import pulse # cr90+ pulse1 = pulse.GaussianSquare(duration=688, amp=0.05031927020792325-0.0006260706605576848j, sigma=64, width=432) # cr90- pulse2 = pulse.GaussianSquare(duration=688, amp=-0.05031927020792325+0.000626070660557691j, sigma=64, width=432) for _ in range(10): print(hash(pulse1), hash(pulse2)) ``` returns ``` 8742458569996 8742458569996 8742458569996 8742458569996 8742458569996 8742458569996 8742458569996 8742458569996 8742458569996 8742458569996 8742458569996 8742458569996 8742458569996 8742458569996 8742458569996 8742458569996 8742458569996 8742458569996 -9223363294396205790 -9223363294396205790 ``` ### Steps to reproduce the problem See above ### What is the expected behavior? Return unique value ### Suggested solutions This bug is caused because it generates hash based on python generator. Generator should be converted into tuple before hash generation. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add documentation on how to delete a property from a datastore entity Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: 0.51.0 incorrectly thinks arm-none-eabi-gcc can not compile programs due to missing _exit I'm using arm-none-eabi-gcc (8-2018-q4-major) with nanolib for an embedded project. As of 0.51.0, the sanitycheckc.c compilation fails (I assume it was never attempted before) due to missing builtins such as `_exit`, `_isatty` etc. For my actual build, stubs containing these impls are linked in with the final project, but the sanity check doesn't use them, for obvious reasons. Reproducing on your end _should_ be as simple as running `arm-none-eabi-gcc sanitycheckc.c -o sanitycheckc_cross.exe` and seeing the relevant error. Am I going about this the wrong way, or is there a way to temporarily disable the sanity check? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: ERROR: In file 'docker-compose.yml', service 'version' must be a mapping not a string. ## Description of the issue After updating to docker-compose version 1.20.1, build 5d8c71b2, my docker-compose.yml file start crashing ## Context information (for bug reports) ``` docker-compose version 1.20.1, build 5d8c71b2 ``` ``` Output of \"docker version\" Docker version 18.03.0-ce, build 0520e24 ``` ``` Output of \"docker-compose config\" PS D:\\Docker> docker-compose config ERROR: In file '.\\docker-compose.yml', service 'version' must be a mapping not a string. ``` ## Steps to reproduce the issue 1. Create the following docker-compose.yml file: ```yaml version: '3' services: mssql-server-linux: container_name: sql2017_flex_powerbi image: microsoft/mssql-server-linux:latest volumes: - mssql-server-linux-data:/var/opt/mssql/data environment: MSSQL_SA_PASSWORD: \"P@ssW0rd\" ACCEPT_EULA: \"Y\" ports: - \"14333:1433\" volumes: mssql-server-linux-data: ``` 2. execute docker-compose config ### Observed result `ERROR: In file '.\\docker-compose.yml', service 'version' must be a mapping not a string.` ### Expected result Create and run the new image ### Stacktrace / full error message ``` ERROR: In file '.\\docker-compose.yml', service 'version' must be a mapping not a string. ``` ## Additional information OS version / distribution, `docker-compose` install method, etc. I´m runing docker on Windows 10 Pro Version 1709 (os compilation 16299.309) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] conan_build_info --v2 does not work with scm ### Steps to reproduce - Create a package that uses scm to get sources - Try to create build info from that package `conan_build_info --v2` will return an error because it can not find conan_sources.tgz in the repo Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the dagster-io/dagster codebase. Here's the problem: All `@public` methods should require docstrings ### What's the issue or suggestion? Only `@public` methods appear in Dagster's docs. We should require docstrings on all such methods and fail the docs build when they aren't present. Not only does this provide a better docs experience, but it also prevents weird issues like #14996 which arise because of how sphinx differently processes objects having docstrings vs those missing them. ### 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?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] conan export-pkg doesn't fail when exporting a package folder that does not exist ### Environment Details * Operating System+version: Debian unstable * Compiler+version: N/A * Conan version: 1.22.0 * Python version: 3.7.5 ### Steps to reproduce - Assuming you have a conan repository with a conanfile.py in ~/myproject - Run `conan export-pkg --force --package-folder /this/folder/does/not/exist ~/myproject` - conan will just warn `WARN: No files in this package!` and exit successfully It is ok to export an empty package, but I would have expected conan to show an error since the folder doesn't exist at all. ### Logs ``` $ conan export-pkg --package-folder /this/folder/does/not/exist ~/work/tanker/conan/cppcodec Exporting package recipe cppcodec/edf46ab: A new conanfile.py version was exported cppcodec/edf46ab: Folder: /home/philippe/.conan/data/cppcodec/edf46ab/_/_/export cppcodec/edf46ab: Using the exported files summary hash as the recipe revision: b068bd011732194d966f09f269d94124 cppcodec/edf46ab: Exported revision: b068bd011732194d966f09f269d94124 cppcodec/edf46ab: Forced build from source Packaging to 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 cppcodec/edf46ab: Exporting to cache existing package from user folder cppcodec/edf46ab: Package folder /home/philippe/.conan/data/cppcodec/edf46ab/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 cppcodec/edf46ab: WARN: No files in this package! cppcodec/edf46ab: Package '5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9' created cppcodec/edf46ab: Created package revision 62acfcc1c48ee02e1a4300df700347a4 ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Rust: add_project_arguments doesn't seem to work? See repo: https://github.com/ubsan/bitvec/blob/ffi/meson.build Changing from using `bitvec_args` to `add_project_arguments('stuff', language: 'rust')` results in the rustc invocation: ``` rustc --crate-type dylib --crate-name bitvec -g --emit dep-info=bitvec.d --emit link -o libbitvec.so -C prefer-dynamic ../src/lib.rs ``` which is missing all of those arguments that I passed. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: compose command for getting image name or id It'd be nice to have an equivalent of `docker-compose ps -q` but for images, not containers. We can synthesize the image name: `\"${COMPOSE_PROJECT_NAME}_servicename\"`, but that's somewhat error-prone. The more general solution is probably to add a whole `docker-compose images` command, equivalent to `docker images` for just that compose project. Our primary use case here is to tag the compose-built image with another tag, and push it up to a \"caching\" private docker repo, so that subsequent CI builds can pull down the image and get their `docker-compose build` steps cached. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Need to rethink how version and git description are populated When releasing jupyterlab, I noticed that these were being populated from my root install, not the \"admin\" repository I have set up for releases. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the gitpython-developers/GitPython codebase. Here's the problem: repo.index.add -> check if input is a list For ~~stupid~~ people like me: Could you please add a check if the input to `repo.index.add(...)` is a list, and not a string? It took me a while to find out that this was the real error behind: > ValueError: Absolute path '\\\\' is not in git repository at 'C:\\\\Users\\\\xxx\\\\yyy\\\\zzz' :-) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Shared editing session is lost when renaming a file ## Description With collaborative editing enabled (`--collaborative`): When renaming a file, the shared editing session is lost and new clients won't be able to collaborate. This issue was first reported in our working repository and is a known bug: https://github.com/jupyter-rtc/jupyterlab/issues/34 ## Reproduce 1. Create a new notebook with collaborative editing enabled. E.g. using a binder instance: https://gist.github.com/jtpio/6ce26381703355e0ef1da4af742b7f72 2. Rename the file 3. Open another client to work on the same file 4. ⇒ The clients work on different editing sessions and do not sync content. 5. ⇒ There is no loss of content because the clients will receive a \"File Changed\" dialogue when saving a file. ## Expected behavior The second client will connect to the same shared-editing session as the first client. ## Context - JupyterLab version: 3.1.0a10 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Stripping non-ASCII characters **Describe the bug** We have some Fortran files that contain non-ASCII characters in comments. They compile fine but when used with meson, I get errors in `depscan.py`: ``` UnicodeDecodeError: 'utf-8' codec can't decode byte 0xd6 in position 3329: invalid continuation byte ``` Instead of writing a custom script that strips out these non-ASCII characters, I wonder if there's a way to do it from within meson. Alternatively, is it possible to just bypass this check or make it skip comments? **To Reproduce** I'm working off of this pyOptSparse build at mdolab/pyoptsparse#300. The offending Fortran source file is unfortunately not publicly available, but any Fortran file with a non-ASCII character in a comment line should do. **Expected behavior** First, I think better debugging info would be helpful. It's not clear from the message which file was the issue, and I had to check with `chardetect` to figure it out. I think the best thing would be for meson to allow these characters to exist, since the compiler has no problems with it. If that's not possible, then I was wondering if meson provides any utilities in stripping characters from files, as that seems to be fairly useful. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? Native build * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.) Manjaro 21.2.6 * what Python version are you using? Python 3.9 * 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?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: feat: batch primitive jobs in ParamShift gradients ### Summary This PR adds batching capabilities to the parameter-shift gradients. This results in a significant speedup for the backwards propagation step in Qiskit Machine Learning's QNNs. For example an `EstimatorQNN` with batch size 20 has a ~10x speedup: | Prior to this PR | After this PR | |:-|:-| | 35s | 3s | ### Details and comments - [ ] extend changes to other gradients - [ ] extract common code from gradients Co-authored-by: @ElePT Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Should be able to make a initial_layout using only integers in a list ### What is the expected enhancement? I have gone over this before, but it is again brought up due to #1945. It should be possible to set an `initial_layout` using a list of just integers, no `(QuantumRegister, int)` tuples. For example, when mapping a Bell circuit to qubits 3 and 4 on qx4 the follow are equivalent: `layout = [None, None, None, (QuantumRegister(2, 'q'), 0), (QuantumRegister(2, 'q'), 1)]` `layout = [3, 4]` Not only is this latter one cleaner and shorter, It gets `QuantumRegister` names that cause problems (#1945), and is the exact same method that is used in the `NLayout` for the Cython `StochasticMapper`. The conversion to the internal method is essentially already encoded in the `NLayout.to_layout()` routine. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the dagster-io/dagster codebase. Here's the problem: errors in handle_output don't get wrapped in user_code_error_boundary How I reproduced: * Edited the body of `InMemoryIOManager` to raise a `ValueError` * Launched the `branch_pipeline` toy. * Observed this error   Previously, this error would omit the framework stack frames and include an indication that the error happened while trying to handle a particular output. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: mesonconf traceback: AttributeError 'wrapped' Since commit https://github.com/mesonbuild/meson/commit/80ebc916f78ad736494ffee49f100134954acc2c , I get this python traceback using mesonconf: ``` Traceback (most recent call last): File \"/usr/bin/mesonconf\", line 20, in sys.exit(mconf.run(sys.argv[1:])) File \"/usr/lib/python3.6/site-packages/mesonbuild/mconf.py\", line 263, in run c = Conf(builddir) File \"/usr/lib/python3.6/site-packages/mesonbuild/mconf.py\", line 41, in __init__ self.build = pickle.load(f) AttributeError: 'Interpreter' object has no attribute 'wrapped' ``` It's not for all projects, but I found at least one of your test cases can be used to trigger it: ``` cd \"test cases/common/85 internal dependency\" meson . bd mesonconf bd ``` Can you reproduce? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: cache-size issue in qtconsole When the qtconsole is started with the option --cache-size=0, the return values of the functions become \"None\". Version :0.12 OS: Both in Windows Xp and 7 Note: The same problem does not exist in the terminal. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Static check for duplicate port request in compose file When a pod specification requests the same port twice(for example because of a change in a .env file), the \"docker-compose run \" command responds with \"Bind for 0.0.0.0: failed: port is already allocated\" instead of responding that the problem is in the compose file. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: CondaError: Cannot link a source that does not exist. C:\\Users\\...\\Anaconda3\\Scripts\\conda.exe I get this error when trying to conda install tqdm. Pip install works fine. However, when trying conda install spacy, I still get the same error because the conda installation for spacy attempts to conda install tqdm. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the dagster-io/dagster codebase. Here's the problem: `non_argument_deps` successor API ### What's the use case? make `non_argument_deps` a more first class concept by updating the API to be better named, and more ergonomic ### 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?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add long_description to setup.py See #434 for context. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: An interrupted upload will not re-create an incomplete tarball I'm using conan version 1.2.3 on Windows 10. A few times I've had to interrupt a \"conan upload\" operation while it was in a \"Compressing package...\" step. When interrupted with Ctrl+C from the terminal, the operation leaves behind a partly-assembled tarball (i.e. the tarball does not yet have all of the package's files). The next time a \"conan upload\" on that same package is attempted, it appears to attempt to re-use the incomplete tarball and when I look at the package contents on the associated (Artifactory) repository I see that it's missing many files from the built package (on the build host's local cache). An interrupted upload command should not leave an incomplete compressed source/package tarball behind. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: update distributed to be < 3.0 `distributed`'s `2.0` release was mostly deprecations. The current requirement prevents installs of `prefect` with projects that require more recent versions of the library i.e. those that use [`poetry`](https://poetry.eustace.io/) for version management https://github.com/PrefectHQ/prefect/blob/4f56ceb492ddbc8ef91c1e9acd21d14f320d4cc3/requirements.txt#L5 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Bad HTML generation at the bottom of the changelog in the docs  Looks like something is getting messed up between the footer insert and the changelog markdown -- this only happens on this page AFAIK Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Core: PollingFuture.exception does not respect passed timeout #### Environment details 2. OS type and version: Docker, ubuntu 18.04 3. Python version and virtual environment information: Python 3.7.1 4. google-cloud-bigquery version: google-cloud-bigquery==1.9.0 #### Steps to reproduce 1. When you e.g. run `QueryJob.exception(timeout=1)` it will run until job is done not respecting passed `timeout`, in the code https://github.com/googleapis/google-cloud-python/blob/951b9c68d2390eedd271b7eb1ca363cb48d82d8d/api_core/google/api_core/future/polling.py#L142 you can see that timeout argument is not passed to `self._blocking_poll()` as it is done in `self.result()`. Question is whether it is a bug or it is intentional? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Handle bad config files better If the config file has a syntax error, IPython crashes with the \"Oops, ipython crashed. We do our best to make it stable, but...\" thing. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Introspection of target's files is broken The mesonintrospection's --target-files is broken in 0.25.0. It can't find a target by a name that was given by --targets, and, if you change the name to what it really could find it bails out with an exception. ``` > meson build The Meson build system Version: 0.25.0 Source dir: /home/evgenyz/Devel/meson/test Build dir: /home/evgenyz/Devel/meson/test/build Build type: native build Project name: test Native c compiler: cc (gcc 5.1.1) Build targets in project: 2 >mesonintrospect build --targets [{\"name\": \"t\", \"type\": \"executable\", \"installed\": false, \"filename\": \"t\"}, {\"name\": \"tl\", \"type\": \"shared library\", \"installed\": false, \"filename\": \"libtl.so.0.0.0\"}] >mesonintrospect build --target-files t Unknown target t. >mesonintrospect build --target-files t@exe Traceback (most recent call last): File \"/usr/bin/mesonintrospect\", line 167, in list_target_files(options.target_files, coredata, builddata) File \"/usr/bin/mesonintrospect\", line 81, in list_target_files sources = [os.path.join(subdir, i) for i in sources] File \"/usr/bin/mesonintrospect\", line 81, in sources = [os.path.join(subdir, i) for i in sources] File \"/usr/lib64/python3.4/posixpath.py\", line 79, in join if b.startswith(sep): AttributeError: 'File' object has no attribute 'startswith' ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: add Description for Routine entities Quick scan of generated docs indicates that description field isn't present for Routine entities. This field was added after the initial Routines work. This request is to include it in the python implementation. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: add cell-level metadata We have had various proposals of ideas for features that require cell-level metadata. We should make sure we iron out a mechanism by which these can be added prior to 0.13 release, so we reduce the likelihood of needing to rev the nbformat for 0.14. I imagine simply attaching a simple black-box metadata dict to each cell (and probably worksheet) like is already on the notebook as a whole would be sufficient. They can obviously start out as empty since we don't have any content yet. Related: I believe the recent js merge removed 'collapsed' from the saved data (It's started disappearing when I re-save notebooks). If we do want to keep storing collapsed, it probably belongs in this md dict. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Adding external volume results in invalid yml produced by config This is the same as [#3429](https://github.com/docker/compose/issues/3429) but for volumes instead of networks. My input yml: ``` version: '3' networks: backend: external: name: backend volumes: test-data: external: name: test-data services: test: image: busybox command: tail -f /dev/null deploy: restart_policy: condition: on-failure volumes: - test-data:/data networks: - backend ``` Result of docker-compose config: ``` networks: backend: external: name: backend services: test: command: tail -f /dev/null deploy: restart_policy: condition: on-failure image: busybox networks: backend: null volumes: - test-data:/data:rw version: '3.0' volumes: test-data: external: name: test-data external_name: test-data ``` The `external_name` included with the volume is considered invalid by `docker stack deploy` and should not be included in the output. Background: I'm planning to use docker-compose to parse the yml files we use, merge multiple compose files together and expand variables, which can't be done by the `docker stack deploy` yml processor. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: Progress bar changes/issues In `conda` 4.3+ the progress bar looks something like this... ``` pycrypto-2.6.1 100% |################################| Time: 0:00:00 6.79 MB/s pytz-2018.4-py 100% |################################| Time: 0:00:00 9.22 MB/s ``` ...it has a nice tabular view and separates out package name, percentage, time, and download speed. In `conda` 4.5+, the progress bar looks like this... ``` ndg-httpsclient 0.4.4################################################### | 100% libffi 3.2.1############################################################ | 100% ``` Here the progress bar starts right near where the version ends. Making it a little hard to read. Also this start point varies depending on package name and the like, which is a bit distracting. Now I'm not sure if this is an intentional change or if I'm running into a bug. Would be great to know either way. If it is an intentional change, would encourage reconsidering. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Pulse Schedules can be shifted by non-integer values. ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? A pulse schedule will accept a shift by a non-integer value. Also shifting and unshifting a schedule will raise an error. ### Steps to reproduce the problem ```python from qiskit import pulse sched = pulse.Schedule() sched = sched.append(pulse.Delay(10, pulse.DriveChannel(0))) print(sched) print(sched << 1.1) ``` ### What is the expected behavior? This should raise an exception. ### Suggested solutions Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Pubsub 0.37.2: Observed non-recoverable stream error 400 Hello! Firstly, thank you for this awesome library! I am running around 40 pubsub client workers in an EKS cluster. After more than a day of running uninterrupted, one of my pubsub workers observed a non-recoverable error. (The rest are still running fine) **OS** - ubuntu:16.04 **Python version** - Python 3.5.2 **Pubsub version** - google-cloud-pubsub==0.37.2 **Stack Trace**: ``` INFO:google.cloud.pubsub_v1.subscriber._protocol.streaming_pull_manager:Observed recoverable stream error 504 Deadline Exceeded INFO:google.cloud.pubsub_v1.subscriber._protocol.streaming_pull_manager:Observed recoverable stream error 504 Deadline Exceeded INFO:google.cloud.pubsub_v1.subscriber._protocol.bidi:Re-established stream INFO:google.cloud.pubsub_v1.subscriber._protocol.streaming_pull_manager:Observed non-recoverable stream error 400 Invalid arguments provided: the number of ack ids to modify must be equal to the number of ack deadlines. INFO:google.cloud.pubsub_v1.subscriber._protocol.streaming_pull_manager:RPC termination has signaled streaming pull manager shutdown. INFO:google.cloud.pubsub_v1.subscriber._protocol.bidi:Thread-ConsumeBidirectionalStream exiting INFO:google.cloud.pubsub_v1.subscriber._protocol.leaser:Thread-LeaseMaintainer exiting. INFO:google.cloud.pubsub_v1.subscriber._protocol.heartbeater:Thread-Heartbeater exiting. ``` **Code snippet** ```python flow_control = pubsub_v1.types.FlowControl(max_messages=500) subscription = sub_client.subscribe(\"pubsub_subscription\", process_message, flow_control=flow_control) ``` Where `process_message` batches messages for a few minutes and acks them all when their payloads have been inserted into a database. Any help would be appreciated here! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: two characters system command are reduced to one in python3.4.3+ under debian unstable After installing ipython as the following `pip3 install --user ipython` I currently use fish shell as a shell so this is the following interaction ``` xcombelle@xcombelle-laptop ~> ipython3 Python 3.4.3+ (default, Oct 10 2015, 09:15:38) Type \"copyright\", \"credits\" or \"license\" for more information. IPython 4.0.0 -- An enhanced Interactive Python. ? -> Introduction and overview of IPython's features. %quickref -> Quick reference. help -> Python's own help system. object? -> Details about 'object', use 'object??' for extra details. In [1]: !ls fish: Unknown command 'l' fish: l ^ ``` the expected result would be the list of files and directory I debug a little bit and think I found the culprit: by commenting out [`FullEvalFormatter.v_eval definition`](https://github.com/ipython/ipython/blob/master/IPython/utils/text.py#L543) the problem disapear I think the problem is related to [this python bug patch](https://hg.python.org/cpython/diff/9eae18e8af66/Lib/string.py) where the use and definition of `_vformat` changed Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Wrong autoindent for class method. ``` class F: def a(self): ``` Only 4 spaces are inserted. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: does not compile .vala file from configure_file() if you add `configure_file(input: 'config.vala.in', output: 'config.vala', configuration: conf)` to sources, config.vala is not compiled and we get a ninja error `cc: error: app@exe/config.c: No such file or directory` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: Vulnerability in secondary dependency of datadog-checks-dev[cli] Version-pinning for python packages in datadog-checks-dev[cli] is outdated and links to a repo with vulnerability CVE-2017-18342. **Steps to reproduce the issue:** 1. Create a Pipfile with this content: ``` [packages] \"datadog-checks-dev[cli]\" = \"*\" pyyaml = \">5.1\" ``` 2. Invoke the command ``` pipenv lock ``` **Describe the results you received:** I get an incompatible-versions exception: ``` ERROR: Could not find a version that matches pyyaml<4,>5.1,>=3.10,>=5.1 Tried: 3.10, 3.10, 3.11, 3.11, 3.12, 3.12, [...] 5.3, 5.3 Skipped pre-versions: 3.13b1, 3.13b1, 3.13b1, [...] 5.3b1, 5.3b1, 5.3b1, 5.3b1, 5.3b1, 5.3b1, 5.3b1 There are incompatible versions in the resolved dependencies. [pipenv.exceptions.ResolutionFailure]: File \"/var/tmp/foo/lib/python3.6/site-packages/pipenv/utils.py\", line 726, in resolve_deps ... ``` **Describe the results you expected:** I should be able to install the datadog-checks-dev[cli] without version conflicts against current versions of its dependencies. **Additional information you deem important (e.g. issue happens only occasionally):** The problem lies in [setup.py](https://github.com/DataDog/integrations-core/blob/master/datadog_checks_dev/setup.py) where it specifies an outdated docker-compose version. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: get_dict() error get_dict() doesn't return the expected {engine_id: result} dictionary when the AsyncResult is associated with a single engine. ``` python from IPython.parallel import Client rc = Client() rc.ids # [0] r = rc.load_balanced_view().apply_async(eval, '(1, 2, 3)') r.get() # (1, 2, 3) r.get_dict() # {0: 1} # {0: (1, 2, 3)} was expected ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [question] export-pkg use of attributes in_local_cache and develop With conan 1.0.4, when invoking, conan export-pkg -bf build -if build -sf . -f . owner/channel The attributes are in_local_cache=True and develop=False but I don't think they should be since at the point that it is invoked we are exporting to the local_cache. It is problematic because I don't know where my sources are when packaging because they are really based upon how it is being built either via install (with source()) or a manual build declaring source locations followed by the export-pkg. While the build operation knows from either attribute, export-pkg offers no such clues. It stems from the fact that my source() clones from git necessarily into a sub-folder to ensure it is empty. While manually building/export-pkg it is truly the source_folder. Thus the package() operation may or may not be in a sub-folder. I can always copy from both locations with no real impact, just feels that export-pkg is inconsistent with respect to those variables. Thanks! - [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?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Compose cannot recreate a container on Swarm if the container has an host port mapping ## What I have - 5 nodes cluster - Compose 1.6.0 - Swarm 1.1.0 - Engine 1.10.0 ## What I do With the following `docker-compose.yml`: ``` yaml www: image: nginx ports: - \"8888:80\" ``` I run: ``` docker-compose up -d docker-compose up -d --force-recreate ``` ## What I expect to see Container is created, then recreated. ## What I see instead Container is created, but when trying to recreate it, I see: ``` Recreating repro_www_1 ERROR: unable to find a node that satisfies container==a0e31139c706d24a739b88034e1f0b266eb049b6b304580c3b29bf4535d1c958 ``` (Where `a0e3...` is the ID of the existing container.) ## Cause Compose provides a placement constraint to force the new container to be on the same host as the old one. But when there is a port mapping, this fails, even if the container has been stopped first, because Swarm doesn't deal with port mappings the same way as Engine does (a stopped container is still considered to use the port). I attached the logs of `docker inspect` (before recreating the container) and the verbose output of `docker-compose up -d`. [inspect.log.txt](https://github.com/docker/compose/files/123408/inspect.log.txt) [compose.log.txt](https://github.com/docker/compose/files/123407/compose.log.txt) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Underscore prefix detection broken if -g specified This is not an issue currently, due to #5481 hiding this bug but once that is solved, it will become an issue again. If the cflags contain `-g`, the test for the underscore symbol would incorrectly return as soon as it finds the symbol with or without underscore, but when debug symbols are enabled using `-g`, this will yield the false result. This can easily be illustrated by a small testcase: ```python symbol_name = b'meson_uscore_prefix' with open('out.obj', 'rb') as o: for line in o: # Check if the underscore form of the symbol is somewhere # in the output file. if b'_' + symbol_name in line: print('True') # Else, check if the non-underscored form is present elif symbol_name in line: print('False') ``` Would print: ``` False True ``` as it first finds the symbol without the underscore, only later finds the symbol with underscore. Of course this is not an issue when using the meson buildtype option, as meson will not use the `-g` argument from that for the test, but is an issue when `-g` is contained in externally provided flags by env variables or crossfile. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Terminal title should be disabled when using IPython in a pipeline This came up recently here: https://github.com/sharkdp/bat/issues/403 Here's an example of how IPython prints control characters even when used in a pipeline: ``` /$ ipython -c \"import os; print(os.isatty(1))\" True /$ ipython -c \"import os; print(os.isatty(1))\" | gcat -A ^[]0;IPython: /^GFalse$ ``` It would be good if IPython checked `isatty` (as shown above) to not add terminal title control characters if `ipython` is being used in a pipeline. To be clear, this isn't just a convenience feature, as it can actually cause unexpected behavior when used in a pipeline. For example, one would expect that a `grep` for the letter `o` in the output of \"False\" above would return false: ``` /$ ipython -c \"import os; print(os.isatty(1))\" | grep o 01;31mon: /False ``` But it returns a match! Running the same command using stock Python correctly returns nothing (and 1 return code): ``` /$ python3 -c \"import os; print(os.isatty(1))\" | grep o /$:1 ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Support custom container names Requested in https://github.com/docker/compose/issues/652 and https://github.com/docker/compose/issues/1347. It would be nice to allow users to customise container names, perhaps with a `name` field: ``` yaml web: image: myimage name: webapp ``` ``` $ docker-compose up -d $ docker-compose ps CONTAINER ID COMMAND CREATED STATUS NAMES 747cb66d30f5 \"python app.py\" About a minute ago Up About a minute webapp ``` However, it might not play nicely with `docker-compose scale`, since names are supposed to be unique. Some options, keeping in mind that sequential suffixes are probably going away (#1516): 1. Don't allow services with a custom name to be scaled. 2. Automatically append a suffix to the name of each container: `webapp_1a2b3c`, `webapp_4d5e6f`, `webapp_7a8b9c` Easy enough, but the feature becomes somewhat less useful at that point. 3. Automatically append a suffix to the name of all but the _first_ container: `webapp`, `webapp_1a2b3c`, `webapp_4d5e6f` It works, but it's more complicated. What does the logic for creating/scaling look like now? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Add MarianMT to models exportable with ONNX # 🚀 Feature request Add the support to convert the MarianMT model with the `transformers.onnx` package documented [here](https://huggingface.co/transformers/serialization.html). The conversion now returns `marian () is not supported yet. Only [...] are supported. If you want to support (marian) please propose a PR or open up an issue.` ## Motivation MarianMT is one of the best translation models in the hub because of the extensive number of pretrained language pairs, but it can be slow for real-time use cases. A conversion to ONNX combined with quantization could significantly improve inference time. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: Document whether numpy.split() works in place It should be documented whether `numpy.split()` works in place or not. I think it does not, but in general that information is probably easy to add for you maintainers. ### Numpy/Python version information: 1.17.0 3.6.8 (default, Jan 14 2019, 11:02:34) [GCC 8.0.1 20180414 (experimental) [trunk revision 259383]] Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: insert_rows() fails when a repeated field is missing Using the method insert_rows to insert a row missing a REPEATED field returns an error. Repeated fields should be nullable by default, so it should not matter if a repeated field is not provided. The method insert_rows_json, which insert_rows uses to make the API call seems to work fine. #### Environment details Python 2.7.15+ google-cloud-bigquery 1.21.0 #### Steps to reproduce - Create a table with a repeated field - Insert a row into the table using insert_rows, passing a dict where the repeated field key-value pair is missing. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Airflow 2.7 tests are broken It appears to have been broken by some externality rather than something in our repo. Master start to break on a totally unrelated change. https://circleci.com/gh/dagster-io/dagster/45672?utm_campaign=vcs-integration-link&utm_medium=referral&utm_source=github-build-link Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: ninja: build stopped: 'some/path.o' not mentioned in its dyndep file 'some/path/depscan.dd' **Describe the bug** The follow error messages appears in my project. ``` ninja: build stopped: 'libscotchDecomp.so.p/plusplus.C.o' not mentioned in its dyndep file 'libscotchDecomp.so.p/depscan.dd' ``` Weirdly, it dissappears if I replace `project('SCOTCH', ['c', 'fortran'])` with `project('SCOTCH', ['c'])`, even though Fortran is never used in the example. It would be nice if you could either fix the bug, or point me in the right direction to fix it. Interestingly, this bug only appears if the C++ file ends with .C, not with .cpp. Feel free to say \"told you so\", as I'm the guy who wrote https://github.com/mesonbuild/meson/pull/8747. **To Reproduce** [withFortran.zip](https://github.com/mesonbuild/meson/files/9184433/withFortran.zip) ``` $ cd withFortran $ meson setup build $ ninja -C build/ libscotchDecomp.so.p/plusplus.C.o ninja: Entering directory `build/' [1/2] Module scanner. ninja: build stopped: 'libscotchDecomp.so.p/plusplus.C.o' not mentioned in its dyndep file 'libscotchDecomp.so.p/depscan.dd'. ``` **Expected behavior** `ninja -C build/ libscotchDecomp.so.p/plusplus.C.o` should run without errors, `ninja -C build` should error out. **system parameters** * Native Build * Arch Linux * Python 3.10.5 * meson 0.63.0 * ninja 1.11.0 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Query paramters need to coerce native Python values If the user passes in non-string values (e.g., for `INT64`, which must be tunnelled via strings because JS reasons, or `TIMESTAMP`, `DATETIME`, `DATE`), the parameter must coerce the value appropriately inside its `to_api_repr()` method. h/t to @dwsupplee for the prod. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: BART for Pre-Training # ❓ Questions & Help How can I run BART pre-training? I have data to pre-training(Masked LM) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Missing package data We need staging/templates here: https://github.com/jupyterlab/jupyterlab/blob/master/setup.py#L39 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: AttributeError: 'module' object has no attribute '_outputfile' ``` io.stdout = io.stderr = io.IOStream(self.readline._outputfile) AttributeError: 'module' object has no attribute '_outputfile' ``` After installing the latest from dev I get the above resultant error when trying to start the ipython interpreter from the command line. Removing the dev build and installing version 1.2 from pip allows me to run the interpreter but notebook exhibits issues. Notebook won't respect interrupts in the window from which it was started. And any notebook that is opened won't run a cell. Reinstalling the dev build brings back notebook functionality but breaks the command line interpreter. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: Logic issue with evaluating cased models in `run_squad.py` ## 🐛 Bug Model I am using (Bert, XLNet....): Bert Language I am using the model on (English, Chinese....): English The problem arise when using: * [x] the official example scripts: (give details) `run_squad.py` with cased models * [ ] my own modified scripts: (give details) The tasks I am working on is: * [x] an official GLUE/SQUaD task: (give the name) squad * [ ] my own task or dataset: (give details) ## To Reproduce Steps to reproduce the behavior: 1. Finetune a cased model with `--do_train` and `--do_eval` (the latter is optional) 2. Use `--do_eval` to make predictions. ## Expected behavior At evaluation time, the tokenizer should also be cased, but because it's loading from a path and not using a model name, the `from_pretrained` method in `BertTokenizer` fails to identify casing information, and the `BasicTokenizer` defaults to uncased (`do_lower_case=True`). ## Environment (most of this is probably not relevant anyway) * OS: Ubuntu 16.04 * Python version: 3.6.8 * PyTorch version: 1.2.0 * PyTorch Transformers version (or branch): master * Using GPU ? Yes * Distributed of parallel setup ? DataParallel * Any other relevant information: ## Additional context One solution is to add `do_lower_case=args.do_lower_case` in the kwargs here: https://github.com/huggingface/pytorch-transformers/blob/master/examples/run_squad.py#L501 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the apache/airflow codebase. Here's the problem: Add integration with Google Calendar API **Description** I ask for operator to create events table from the Google Calendar API https://developers.google.com/calendar/v3/reference/events/import **Use case / motivation** we have calendar where we save events that has business impact and we need this data available for our analysts in tables. I would also be nice if the hook will be able to insert events into the calendar based on logic from the pipeline. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Setup fails if you use fs.copyfile and enable installing to a subdirectory **Describe the bug** I have a file (script, text file, whatever) that needs to be copied during build (to be able to test and develop without installing) and also needs to be installed during the installation process. If you copy it with fs.copyfile and specify an install_dir that is a subdirectory, you get an error such as: ``` ERROR: Target 'file.txt' has 1 outputs: ['file.txt'], but only 9 \"install_dir\"s were found. Pass 'false' for outputs that should not be installed and 'true' for using the default installation directory for an output. ``` The error happens during meson setup. **To Reproduce** This is a minimal meson.build to reproduce the issue: ```meson project('MyProject', 'cpp') executable( 'myproject', 'myproject.cpp', install : true, install_dir : 'something', ) import('fs').copyfile( 'file.txt', install : true, install_dir : 'something', ) ``` If I replace 'something' in the copyfile install_dir with '.' it succeeds. **Expected behavior** meson setup should succeed and the file should be copied to the specified subdirectory during installation. **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? Native build. * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.)? Windows 10 * what Python version are you using e.g. 3.8.0 Python 3.10.0 * what `meson --version` 0.64.1 * what `ninja --version` if it's a Ninja build 1.10.2 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: PIN 16: Add `CustomResult` that will be used to hydrate user Results from cloud states ## Use Case See [PIN 16](https://docs.prefect.io/core/PINs/PIN-16-Results-and-Targets.html) for more motivation on new style Result classes. Today, users may provide their own custom `ResultHandler` subclasses that do not serialize to Cloud; we expect to support the same for custom new style `Result` subclasses. ## Solution Add a `CustomResult` that wraps any custom result handler implementation or Result subclass from the user that we can serialize to Cloud and instantiate in `State._result` for a user when hydrating States from Cloud. The important method to implement is: `CustomResult.hydrate(result: Result) -> Result` This should return an instance of the result arg, since the pipeline will call this a la `state._result.hydrate(result=self.task.result)`. Other methods common to Results like store_safe_value, validate, read, write etc should not be implemented. (Decide if it should raise its own kind of warning or not especially if we miss an edge case and then get the NotImplementedError from tbhe base class.) ## Alternatives *Please describe any alternatives you've considered, even if you've dismissed them* Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Feature wish: Option to force static:true for all dependency() calls I don't have much experience with build systems etc. I've currently been confronted with meson for the first time, trying to create a static binary of imagemagick. Many dependencies like glib and pango seem to have switched to meson. So far, the experience is great and much better than with other systems (Makefile, CMake etc.) which I often found way more confusing and less readable. I found, though, that to successfully compile some libraries as static, I needed to patch their meson.build files and add a \"static: true\" to their dependencies. For example to compile a static pango with a static cairo, I needed to add static:true to the dependency('cairo') call. Surprisingly, simply specifiying \"-Ddefault_library=static\" wasn't sufficient, but probably this option is about sth. different. Nevertheless, I think it would be very nice to have an option to always prefer the static version for all dependencies if it is available. Sth. like \"-Dforce_static=true\". Hope it makes sense ;-) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Document fixes: early_stop_checkpoint is not an valid argument for pl.Trainer ## 📚 Documentation In `pytorch-lightning/docs/source/new-project.rst`, there is an example demonstrating how to use `Trainer`. However, `early_stop_checkpoint` is not a valid argument for `Trainer`. I also found that `early_stop_checkpoint` only appears here in the whole repo. Therefore, we might need to remove it from the doc. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: ipython parallel: scp failure. Instead of throwing: ``` Command '['scp', u'/home/vash/.config/ipython/profile_ssh/security/ipcontroller-client.json', u'vash@host:.config/ipython/profile_ssh/security/ipcontroller-client.json']' ``` Should try: ``` ssh user@host mkdir -p -- \".config/ipython/profile_ssh/security\" ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: add np.append and np.polyval Requested by @duvenaud! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Bigtable instance undelete doesn't exist The documentation and some code comments think there should be an undelete for bigtable instances: https://github.com/GoogleCloudPlatform/gcloud-python/blob/e63b1d8bd24a826c28865a21766ee7537ce87285/gcloud/bigtable/instance.py#L283 https://googlecloudplatform.github.io/gcloud-python/stable/bigtable-instance.html but AFAICT looking at code it appears to be unimplemented. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: Segmentation fault when trying to convert numpy array to the C array with ctypes Python 2.7.12 Numpy 1.13.0 Here is error reproduction: ``` import numpy as np from ctypes import POINTER, c_float data = np.ascontiguousarray(np.array([1]*10000, dtype=np.float32)/255).ctypes.data_as(POINTER(c_float)) print data.contents.value # ok data = np.ascontiguousarray(np.array([1]*1000000, dtype=np.float32)/255).ctypes.data_as(POINTER(c_float)) print data.contents.value #giving segmentation fault ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Allow Flow States to be determined by tasks other than the terminal tasks Currently, the `State` of a flow run is determined exclusively by that Flow's terminal tasks using this waterfall: * If any terminal task fails, the flow fails * If all terminal tasks succeed, the flow succeeds * If all terminal tasks finish, the flow succeeds (this is a separate waterfall step incase we decide that `SKIPs` - a valid \"finished\" state - should be handled differently * Otherwise the flow remains pending However, we can imagine situations where this logic breaks down: * A flow consists of a task that does something (X) and a terminal clean up task that only runs if X fails. * If X succeeds, the clean up task will be skipped and the flow will be marked as successful (this is probably the correct behavior) * If X fails, the clean up task will run and be successful -- the flow will be marked as successful. This might be the wrong behavior; here are two arguments why: * The flow failed its intended purpose (which was to run X), and should be considered an overall failure. * The workflow ran properly -- catching an error and cleaning up -- and should be considered an overall success. I propose allowing users to specify the tasks that should determine flow state. By default, it's the terminal tasks, but in the above example a user might have said that the X task should be used to determine flow state. No matter what tasks are chosen, the same waterfall described at the top of this issue would apply to those tasks. This would be a property of the `Flow` object, not a runtime configuration, and would be provided when the flow itself was created: ```python my_flow = prefect.Flow(name='demo flow', run_state_tasks = [X_task]) ``` I think `run_state_tasks` is a bad name for this option -- open to suggestions. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Prompt hard to read because it uses hardcoded colors I find some colors are hard to read, especially the red used for the output when using a dark background. The [contrast ratio is only 2.35](https://contrast-ratio.com/#%23990000-on-black) which is too low according to [WCAG21](https://www.w3.org/TR/WCAG21/#contrast-minimum).  A similar issue was discussed a while ago in #9670. However, I feel like a crucial aspect was missed: It is impossible to guarantee sufficient contrast if you hardcode colors and don't know the background. So IMHO the better fix would be to not hardcode any colors and use ANSI colors instead. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: link_depends does not work with files() Hey The `link_depends:` argument to executables and libraries does not work with `File` objects so far. It requires strings. See this example: ``` project('foobar', 'c') bar = shared_library('bar', ['foo.c'], link_depends: files(['A','B'])) ``` It fails with: ``` Link_depends arguments must be strings. ``` I circumvent this by using `join_paths(meson.current_source_dir(), 'my_file')` instead of `files()`, but I guess that's no the suggested solution? Furthermore, the reference-manual in the wiki does not explain the `File` object, but the documentation of `files()` mentions it. Thanks David Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: ❓ Warning : This overload of addcdiv_ is deprecated # ❓ Questions & Help When running the [official Colab example of GLUE](https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/trainer/01_text_classification.ipynb), during training I receive a `UserWarning` : ``` /pytorch/torch/csrc/utils/python_arg_parser.cpp:756: UserWarning: This overload of addcdiv_ is deprecated: addcdiv_(Number value, Tensor tensor1, Tensor tensor2) Consider using one of the following signatures instead: addcdiv_(Tensor tensor1, Tensor tensor2, *, Number value) ``` --- **Is it expected ?** Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: %rerun prints a misleading error when 0 lines are requested ## Steps to reproduce * Execute `%rerun -l 0` ## Expected result Nothing rerun, nothing printed ## Actual result Nothing rerun, but the following is printed ``` No lines in history match specification ``` ## Comment This error message is relevant to another part of `%rerun`'s functionality, namely, rerunning based on search with `-g `, but is confusing here. ## System info Manjaro Linux, Python 3.9.4, IPython 7.22.0 (reproduces on IPython 8.0.0.dev) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: AttributeError: 'NoneType' object has no attribute 'from_pretrained' This code was working yesterday but doesn't work today: ```py from transformers import AutoTokenizer AutoTokenizer(\"Helsinki-NLP/opus-mt-en-fr\") ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Link to an existing container Maybe it could work like this: ``` yaml links: - :existing_container_name ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add new AWS Secrets Manager Task To add to our non-Prefect Cloud [Secret Task library](https://docs.prefect.io/api/latest/tasks/secrets.html), we should add a new AWS Secrets Manager Task. This should only involve exposing the following three kwargs at initialization: - `secret_id` - `version_id` - `version_stage` as described here: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/secretsmanager.html#SecretsManager.Client.get_secret_value Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Backends with pulse parameters but pulse=False do not format dt and dtm correctly Some IBM Q devices have pulse parameters in their config files but `pulse=False`. This causes `dt` and `dtm` to be formatted differently depending on if pulse is on for that provider. Namely because the conversion is done here only: https://github.com/Qiskit/qiskit-terra/blob/f38b617748d855e98f682d259b7cf597ef16b2a8/qiskit/providers/models/backendconfiguration.py#L461 and not for the `QasmBackendConfiguration`. For example, I see `0.22` vs the correct `2.22e-10` on some devices depending on provider. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the gitpython-developers/GitPython codebase. Here's the problem: git.types.PathLike is partially unknown for Pylance/mypy Hello everyone, I am using GitPython in my project and I use Pylance/mypy with the strict type checking settings. This setting is pretty important for my project's sanity. As I've been using methods from GitPython that make uses of paths, I've been getting the following errors:  As you can notice, what raises this error is `PathLike[Unknown]`, defined in `git.types.PathLike`. ([Source file & lines](https://github.com/gitpython-developers/GitPython/blob/main/git/types.py#L47-L51)) After further investigation, I've found out that this is because `os.PathLike` is considered as a generic class (Like `typing.List`, `typing.Dict` and so on)  The fix is fairly simple, as it is to simply allow `str` for `PathLike`, which gives this result: `os.PathLike[str]`   (awesome! This issue's no longer a thing with this fix!) There has some discussion about the same situation on this StackOverflow page: https://stackoverflow.com/a/69680089/13720113 I can make a PR for fixing this (Of course, with some testing, since there is Python version checks), as long as this issue is approved. Thank you, hoping this issue get sorted soon! Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: [1.27.0+] docker-compose config truncates version ('3' instead of '3.x') ## Description of the issue Not sure if it's a bug or a new feature, but ... Since `1.27.0+`, `docker-compose config` returns only the major digit from version field. ## Context information (for bug reports) **Output of `docker-compose version`** ``` docker-compose version 1.27.0, build unknown docker-py version: 4.3.1 CPython version: 3.7.9 OpenSSL version: OpenSSL 1.1.1 11 Sep 2018 ``` **Output of `docker version`** ``` Docker version 19.03.12, build 48a66213fe ``` ## Steps to reproduce the issue 1. Create a docker-compose.yml file with the following content. ```yaml version: '3.7' ``` 2. Run `docker-compose config`. 3. Check the output. ### Observed result ```yaml services: {} version: '3' ``` ### Expected result ```yaml services: {} version: '3.7' ``` ### Stacktrace / full error message *No error* ## Additional information Ubuntu 18.04, docker-compose 1.27.0 installed from pip on Python 3.7.9. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the docker/compose codebase. Here's the problem: Proposal: don't \"build\" as part of \"docker-compose up\" I've started to feel that doing a `build` during `docker-compose up` is potentially causing more trouble than it's worth, and I'm curious if anyone is actually using this functionality. I believe this is a positive change for two reasons: 1. Anytime I've used `docker-compose up` I've always had to explicitly `docker-compose build` first (and often `docker-compose pull` before that). This is because without doing an explicit build/pull, you risk running an older version of the image. 2. Doing a `build`/`pull` as part of `up` starts to require that `up` support every parameter that `build` and `pull` require, which leads to more code complexity, and a less clean interface (see #687, #573, #586, which are probably just the start) Does anyone actually \"need\" `docker-compose up` to build containers first? How do you ensure you're actually running the latest container if you don't do an explicit `docker-compose build` first? This would be a non-backwards compatible change, so it would require waiting for a new major release. fig up should build on every invocation Now Docker caches `ADD` in Dockerfiles, we can safely build on every `fig up` without builds taking ages. There perhaps should also be an option in `fig.yml` to cache the build with a tag as it currently does. We should also document how to cache installation of code dependencies. E.g.: ``` ADD requirements.txt /code/ RUN pip install -r /code/requirements.txt ADD . /code/ ``` This means `pip install` will only be run when `requirements.txt` changes. If `pip install` were after the last line, it would be run anytime any file changed. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Documentation of `is_good_state` parameter of AmplificationProblem is misleading Acconrding to the constructor of [AmplificationProblem](https://qiskit.org/documentation/stubs/qiskit.algorithms.AmplificationProblem.html), the kwarg `is_good_state` is optional, when it fact, it is required. Usage without `is_good_state` results in `AttributeError: 'NoneType' object has no attribute 'probabilities_dict'` Reproduce (with qiskit-terra 0.18.0 installed from main branch) ```python3 from qiskit.algorithms import Grover from qiskit.algorithms import AmplificationProblem from qiskit.circuit.library import PhaseOracle from qiskit import BasicAer input_3sat_instance = ''' c example DIMACS-CNF 3-SAT p cnf 3 5 -1 -2 -3 0 1 -2 3 0 1 2 -3 0 1 -2 -3 0 -1 2 3 0 ''' with open('dimacs_file.txt', 'w') as fd: fd.write(input_3sat_instance) backend = BasicAer.get_backend('qasm_simulator') oracle = PhaseOracle.from_dimacs_file('dimacs_file.txt') grover = Grover(quantum_instance=backend) problem = AmplificationProblem(oracle) ## following line solves the error #problem = AmplificationProblem(oracle, is_good_state=oracle.evaluate_bitstring) result = grover.amplify(problem) print(result.assignment) ``` ### What is the expected enhancement? Either change the type hint to reflect the requirement or make it actually optional. See, e.g. the slack comment https://qiskit.slack.com/archives/C7SS31917/p1620999677245200?thread_ts=1620994583.241400&cid=C7SS31917 by @mtreinish Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Circuit drawers misorders subcircuits which depend only on a classical wire ### Information - **Qiskit Terra version**: master @ 296a745 - **Python version**: 3.6 - **Operating system**: osx 10.15 ### What is the current behavior? Appending a circuit which uses both qubits and clbits can be drawn out of order, if it introduces a dependency which can only be followed along classical wires. ### Steps to reproduce the problem Base circuit: ``` qc = qk.QuantumCircuit(2,1) qc.h(0) qc.measure(0,0) qc.draw() ``` ``` ┌───┐┌─┐ q_0: ┤ H ├┤M├ └───┘└╥┘ q_1: ──────╫─ ║ c: 1/══════╩═ 0 ``` Circuit to be appended: ``` qc_2 = qk.QuantumCircuit(1,1) qc_2.h(0).c_if(qc_2.cregs[0], 1) qc_2.draw() ``` ``` ┌───┐ q_0: ─┤ H ├─ └─╥─┘ ┌──╨──┐ c: 1/╡ = 1 ╞ └─────┘ ``` Combined circuit: ``` qc.append(qc_2, [1], [0]) qc.draw() ``` ``` ┌───┐ ┌─┐ q_0: ─────┤ H ├─────┤M├ ┌────┴───┴────┐└╥┘ q_1: ┤0 ├─╫─ │ circuit111 │ ║ c_0: ╡0 ╞═╩═ └─────────────┘ ``` Matplotlib:  Latex:  DAG drawer has the right dependency on `c[0]`:  ### What is the expected behavior? The appended circuit should be drawn after the measure. ### Suggested solutions Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: %cpaste still stores itself in history (unlike %paste) As noted in [this comment](https://github.com/ipython/ipython/issues/13622#issuecomment-1091721895), `%paste` was corrected to store its _contents_, and not its command equivalent itself, in history. But `cpaste` still does the latter: ```python Python 3.10.8 (main, Oct 13 2022, 10:17:43) [Clang 14.0.0 (clang-1400.0.29.102)] Type 'copyright', 'credits' or 'license' for more information IPython 8.6.0 -- An enhanced Interactive Python. Type '?' for help. In [1]: %cpaste -q print('test') print('Will this be stored?') -- test Will this be stored? In [2]: In[1] Out[2]: \"get_ipython().run_line_magic('cpaste', '-q')\" ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conda/conda codebase. Here's the problem: Add anaconda.org search message to PackagesNotFoundError Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: java: support for linking jar files (using manifest) Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: crash - ipython qtconsole, %quickref I start ipython (both 0.11 and cloned from gitub (90e6e7afd62a598b76472862a4eea7a504cbf9b5) ) on Scientific Linux 6.0 as ipython qtconsole If I type %quickref, it crashes on the following line, with ``` at_end = len(cursor.selectedText().strip()) == 0 ``` AttributeError: 'NoneType' object has no attribute 'strip' after that, I see an infinite set of messages: QCoreApplication::exec: The event loop is already running As requested, I've mailed the crash report to fperez.net Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Default logger and checkpoint We should make the checkpoint and logger default without the user having to pass those in. However, they can still pass them in to modify the default behavior even further. @adefazio Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Can transpile a multi-qubit circuit on a 1Q device with cmap=None ### Information - **Qiskit Terra version**: latest - **Python version**: - **Operating system**: ### What is the current behavior? ``` qc = QuantumCircuit(2, 1) qc.h(0) qc.ry(0.11,1) qc.measure([0], [0]) ``` will be properly transpiled even if the backend has `n_qubits=1` and `coupling_map = None` ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Document setting random seed for optimizers For most optimization algorithms setting `np.random.seed(seed)` is sufficient, but for SPSA (which is not implemented in scipy) one has to set it by hand via `qiskit.utils.algorithm_globals.random_seed = seed`. I couldn't find any documentation about this and had to look directly at the source code. It would be nice, if this was explained in the documentation. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Bigtable HappyBase enable/disable table should be a no-op Currently methods which aren't available in Bigtable for HappyBase throw an NotImplementedError. https://github.com/GoogleCloudPlatform/gcloud-python/blob/master/gcloud/bigtable/happybase/connection.py#L392 This will make it more difficult to port applications to and from HBase. These operations should be no-ops (possibly logging a warning when run). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: pkexec logic is a bad idea This is a bit related to https://github.com/mesonbuild/meson/issues/4758 Basically, what you're doing with polkit doesn't make sense. You're allowing to execute arbitrary code (in the Meson build logic) as root; the permission isn't actually limited in any way. So rather than having meson contain logic to run `pkexec` it's just much saner to tell people to do `sudo meson install` (or `pkexec meson install`) etc. IOW you should just delete the polkit rules and print an error message telling people how to use `sudo/pkexec` (this is quite commonly documented for other build systems of course). Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Pathlib, Pathlib everywhere. There are many places where we could make use of Pathlib. Look for any places that uses `with open(...)` and ask yourself: - is the argument a string ? - would it make sens to make it a `Path()`, - how far upstream in the code can I make it a Path. Don't try to bite more than you can chew (or more than I can review), try to fix 1 place at a time. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the numpy/numpy codebase. Here's the problem: PERF: Variance of complex array ```python import sys import numpy as np print(sys.version) # 3.7.4 (default, Aug 13 2019, 15:17:50) # [Clang 4.0.1 (tags/RELEASE_401/final)] print(np.__version__) # 1.18.1 np.random.seed(2357) n = 10 ** 8 arr = np.random.randn(n) + 1j * np.random.randn(n) %timeit arr.var() # 1.99 s ± 36 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) %timeit arr.real.var() + arr.imag.var() # 1.25 s ± 2.12 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) v1 = arr.var() v2 = arr.real.var() + arr.imag.var() np.testing.assert_almost_equal(v1, v2) ``` It looks like summing the variances of the real and imaginary parts of a complex array is almost twice as fast as using `var` directly (and gives the same answer), so maybe there's something slowing down the calculation in this case (or maybe it makes sense to calculate the variance in this way)? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Spurious \"The test program '...' does not exist. Cannot run tests before building them.\" Hi, Starting with c85f7a39a80ccbadb9ffb76102da30c05e3db66f I'm seeing postgres' tests (in my WIP branch using meson) fail on windows with $subject. I think the problem is the os.path.isfile() test introduced in the patch. Previously one could use a shebang that worked across operating systems (i.e. no .exe, with the binary being found via PATH), but now that'll fail because of course the file only exists with the file extension. Of course I can work around that by not relying on the extracted executable. But I bet this will bite not just us. Shouldn't this be shutil.which() instead of `os.path.isfile(testentry)`? And probably also gated by self.test.cmd_is_built? ```diff @@ -1347,9 +1347,12 @@ class SingleTestRunner: self.console_mode = ConsoleUser.LOGGER def _get_test_cmd(self) -> T.Optional[T.List[str]]: - if self.test.fname[0].endswith('.jar'): + testentry = self.test.fname[0] + if self.options.no_rebuild and not os.path.isfile(testentry): + raise TestException(f'The test program {testentry!r} does not exist. Cannot run tests before building them.') + if testentry.endswith('.jar'): return ['java', '-jar'] + self.test.fname - elif not self.test.is_cross_built and run_with_mono(self.test.fname[0]): ``` CC: @eli-schwartz - Andres Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Meson generates a build.ninja file with incorrect dependencies **Describe the bug** (Regression in 0.64.0) Meson generates a `build.ninja` file with incorrect dependencies if all these three situations are present in the `meson.build`: * The `project()` function has language `fortran` , either as unique language or secondary * A target depends on objects extracted from another target * The first target contains source and header files **To Reproduce** meson.build: ``` project('test_project', 'c', 'fortran', ) sources_tmp = [ 't1.c', 't1.h', ] libtmp = static_library( 'tmp', sources_tmp, install: false, ) tmp_objects = libtmp.extract_all_objects(recursive : true) sources = [ 't2.c', ] libfinal = library( 'final', sources, objects : tmp_objects, ) ``` Source and headers may be empty (`touch t1.c t1.h t2.c`). After a `meson setup`, the command `ninja`returns: ``` ninja: error: 'libfinal.so.p/libtmp.a', needed by 'libfinal.so.p/t2.c.o', missing and no known rule to make it ``` Either commeting line 2 (`fortran`) or line 7 (`'t1.h',`) makes the error to disappear. **system parameters** * plain native build * O.S.: Arch Linux * `python --version`: 3.10.8 * `meson --version`: 0.64.0 * `ninja --version`: 1.11.1 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the google/jax codebase. Here's the problem: np.median returns nan on a list of all inf I found the following discrepancy between numpy and jax: ``` In [1]: import numpy as np In [2]: np.median([np.inf, np.inf, np.inf]) Out[2]: inf In [3]: import jax.numpy as np In [4]: np.median([np.inf, np.inf, np.inf]) /Users/stephentu/anaconda3/lib/python3.7/site-packages/jax/lib/xla_bridge.py:122: UserWarning: No GPU/TPU found, falling back to CPU. warnings.warn('No GPU/TPU found, falling back to CPU.') Out[4]: DeviceArray(nan, dtype=float32) In [5]: import jax In [6]: jax.__version__ Out[6]: '0.1.59' ``` Seems like returning `np.inf` is the sensible thing to do here. @mattjj suggested the culprit might be here: https://github.com/google/jax/blob/75077a14414124c13decc65c4ab1c1ac74174b81/jax/numpy/lax_numpy.py#L3374-L3375 Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: async-detection: nonlocal does not raise syntaxerror See https://github.com/ipython/ipython/issues/11303#issuecomment-421297197 ``` In [1]: x = 1 ...: def f(): ...: nonlocal x ...: x = 10000 ``` Should raise but does not. It's minor, but may be good to fix as behavior is likely undefined. async-detection: nonlocal does not raise syntaxerror See https://github.com/ipython/ipython/issues/11303#issuecomment-421297197 ``` In [1]: x = 1 ...: def f(): ...: nonlocal x ...: x = 10000 ``` Should raise but does not. It's minor, but may be good to fix as behavior is likely undefined. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Add special-case dependency for zlib Apple supplies libz as part of its core OS (/usr/lib/libz*.dylib, /usr/include/zlib.h) but does not supply a pkgconfig file for it. As a result, a package that has a meson.build assertion `dependency('zlib')` fails, or falls back to downloading and building libz from source if the package includes its own .wrap file for it. Apple has been doing this for the entire history of zlib in OS X and doesn't seem inclined to change. It would therefore be useful if meson supplied a special case for this library, analogous to other cases that don't supply pkgconfig files. Presumably this would go in one of the mesonbuild/dependencies, I guess misc.py (like pcap and cups)? If this would be generally useful, let me know and I can have a go at writing a patch. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Add version_group_id as input to create_flow_run + documentation in Cloud Concepts, for feature parity with our API Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Installing a lab extension should remove the existing one Currently we can end up with two versions of the same extension. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: IPython.parallel issue with pushing pandas TimeSeries A pandas.TimeSeries is cast to a numpy.ndarray when pushed using IPython.parallel. Here is an example: ``` In [1]: from IPython import parallel In [2]: dview = parallel.Client()[:] In [3]: with dview.sync_imports(): import pandas importing pandas on engine(s) In [4]: a = pandas.TimeSeries([1,2,3],index=[1,2,3]) In [5]: a.__class__ pandas.core.series.Series In [6]: dview.push({'b':a}) In [7]: ret = dview.apply_async(lambda x: b.__class__, range(0,1)) In [8]: ret.result [numpy.ndarray, numpy.ndarray] ``` This seems to be a result of dview.push handling numpy arrays differently: http://ipython.org/ipython-doc/dev/parallel/parallel_details.html and pandas.TimeSeries using numpy arrays: ``` In [9]: cPickle.dumps(a) \"cnumpy.core.multiarray\\n_reconstruct\\np1\\n(cpandas.core.series\\nSeries\\np2\\n(I0\\ntS'b'\\ntRp3\\n((I1\\n(I3\\ntcnumpy\\ndtype\\np4\\n(S'i8'\\nI0\\nI1\\ntRp5\\n(I3\\nS'<'\\nNNNI-1\\nI-1\\nI0\\ntbI00\\nS'\\\\x01\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x02\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x03\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00'\\nt(g1\\n(cpandas.core.index\\nInt64Index\\np6\\n(I0\\ntS'b'\\ntRp7\\n((I1\\n(I3\\ntg5\\nI00\\nS'\\\\x01\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x02\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x03\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00\\\\x00'\\nt(NttbNttb.\" ``` Is there a way to cast back to pandas.TimeSeries on the ipcluster engines? Many thanks. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: RMSLE metric appears to be incorrect ## 🐛 Bug The usage of mse [in the rmsle function](https://github.com/PyTorchLightning/pytorch-lightning/blob/22b9642117394d3c50587ae137dbf94c6dd5173c/pytorch_lightning/metrics/functional/regression.py#L138) looks wrong to me. It looks like this function currently computes _mean squared log error_ instead of _root mean squared log error_. ### Expected behavior I would expect that rmsle looks like this: ```python rmsle = rmse(torch.log(pred + 1), torch.log(target + 1), reduction=reduction) ``` Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: ASR pipeline never takes into account the beam width of ngram I am using the eval.py script mentioned [here](https://github.com/huggingface/transformers/blob/master/examples/research_projects/robust-speech-event/eval.py) I try to pass the beam_width parameter at lines 84 and 88 but the results are the same no matter whatever beam you give. Am i doing something wrong? Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the ipython/ipython codebase. Here's the problem: Inspected functions’ signatures undecipherable when type hints are in play In the `_getdef` method, the function signature is rendered: https://github.com/ipython/ipython/blob/5e7f930d355f9bb65b22ed8e8b735ea75c994d33/IPython/core/oinspect.py#L365-L366 I have formatted it well in my source: ```py def neighbors( adata: AnnData, n_neighbors: int = 15, n_pcs: Optional[int] = None, use_rep: Optional[str] = None, knn: bool = True, random_state: Optional[Union[int, RandomState]] = 0, method: str = 'umap', metric: Union[str, Callable[[np.ndarray, np.ndarray], float]] = 'euclidean', metric_kwds: Mapping[str, Any] = {}, copy: bool = False ) -> Optional[AnnData]: ... ``` However, `inspect.Signature`’s `__str__` method just combines it all [into one unreadable line](https://github.com/python/cpython/blob/d170e594b2736c579d12b96b129a8e58975a9c0a/Lib/inspect.py#L3072): `Signature: sc.pp.neighbors(adata: anndata.base.AnnData, n_neighbors: int = 15, n_pcs: Union[int, NoneType] = None, use_rep: Union[str, NoneType] = None, knn: bool = True, random_state: Union[int, mtrand.RandomState, NoneType] = 0, method: str = 'umap', metric: Union[str, Callable[[numpy.ndarray, numpy.ndarray], float]] = 'euclidean', metric_kwds: Mapping[str, Any] = {}, copy: bool = False) -> Union[anndata.base.AnnData, NoneType]` We should render the signature ourselves in a clearer fashion if it’s too long. Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] Typo in help command for conan remote auth (Conan 2.0) Hi, I've observed the following typo when running **conan remote auth --help**: ``` ... positional arguments: remote Pattern of the remote/s to disable. The pattern uses 'fnmatch' style wildcards. ... ``` **disable** doesn't make sense here ;). Best regards, gpxricky Can you help me debug this systematically and explain your reasoning?"}]}
{"conversation": [{"role": "system", "content": "You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning."}, {"role": "user", "content": "I'm having an issue with the huggingface/transformers codebase. Here's the problem: [Question] Pegasus tokenizer @sshleifer - sorry to ping you here on this. Would be amazing if you find some time to explain the Pegasus tokenizer a bit. A couple of things I don't understand: - In the official Pegasus Tokenizer and from reading the paper it seems that exactly 2 mask tokens are necessary. See https://github.com/google-research/pegasus/blob/master/pegasus/ops/pretrain_parsing_ops.cc#L66 a) ID=2 seems to correspond to the sentence mask token, called `[MASK_1]` and b) ID=3 seems to correspond to the word mask token, called `[MASK_2]` => Why don't we have `[MASK_1]` and `[MASK_2]` tokens in the tokenizer's special tokens? I would actually add them at the id's 2 and 3 instead of having `unk_2` and `unk_3` there. Wdyt? - Why do we call the tokens unk_2 - unk_104 ? Why unk? And why aren't those part of the `special_tokens_map` - is this on purpose? - Why does Pegasus inherit from the Reformer Tokenizer -> I don't really see what they have in common... Would be awesome if you could take 10min to reply :-) Can you help me debug this systematically and explain your reasoning?"}]}