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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: scp checking for existence of directories: directory names are incorrect Commit d02d22204f9445ad3634b150ac5dc8a360b05c95 is supposed to ensure that SSHlaunchers check that destination directories exist when copying files between hosts (see issue #3411). However there is a bug where the hostname (or ip address) of the destination machine is included in the directory name by mistake. The offending code is: ``` python check_output(self.ssh_cmd + self.ssh_args + \ [self.location, 'mkdir', '-p', '--', remote_dir] ) ``` The problem is that `remote_dir` includes the hostname (or ip) of the destination machine, so for example a directory that should be created on the destination machine at: ``` ~/.ipython/profile_ssh/security ``` will instead be created at: ``` ~/<DESTINATION HOSTNAME>/.ipython/profile_ssh/security ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Trainer.fit() crashes if no checkpoint callback is provided I hope it's okay that I keep posting issues... Now that I can circumvent the github installation issues, I pulled in the latests master and let my simple CoolModel demo code run. But now calling trainer.fit() crashes with: > AttributeError Traceback (most recent call last) <ipython-input-3-4ff64ec6323b> in <module> 21 ) 22 ---> 23 trainer.fit(model) 24 # exp.close() > /opt/miniconda3/envs/dev_pytorch_lightning36/lib/python3.6/site-packages/pytorch_lightning/models/trainer.py in fit(self, model) 494 self.optimizers, self.lr_schedulers = self.optimizers 495 --> 496 self.__run_pretrain_routine(model) 497 498 # return 1 when finished > /opt/miniconda3/envs/dev_pytorch_lightning36/lib/python3.6/site-packages/pytorch_lightning/models/trainer.py in __run_pretrain_routine(self, model) 680 681 # restore training and model before hpc call --> 682 self.restore_state_if_existing_checkpoint() 683 684 # enable cluster checkpointing > /opt/miniconda3/envs/dev_pytorch_lightning36/lib/python3.6/site-packages/pytorch_lightning/models/trainer.py in restore_state_if_existing_checkpoint(self) 261 262 # find last epoch --> 263 checkpoints = os.listdir(self.checkpoint_callback.filepath) 264 for name in checkpoints: 265 # ignore hpc ckpts > AttributeError: 'NoneType' object has no attribute 'filepath' Looking at the code, it appears to happen because I did not provide a checkpoint callback and it tries to access it in `restore_state_if_existing_checkpoint` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: meson 0.56.0 feature qt5.compile_translations(qt5.compile_translations:...) does not work according to the changelog https://github.com/mesonbuild/meson/blob/master/docs/markdown/Release-notes-for-0.56.0.md#qt5-compile_translations-now-supports-qresource-preprocessing for 0.56.0 there should be the ability to write ```cpp qt5.compile_translations(qresource: 'i18n.qrc') ``` the `i18n.qrc` looks like: ``` <RCC> <qresource> <file>de.ts</file> </qresource> </RCC> ``` however, when running meson it results in the following error: ``` ERROR: qt.compile_translations: qresource can only contain ts files, found de.ts ``` whiiiich is a contradiction. In my opinion there is a bug along these lines. meson should compile from `ts` to `qm` and not vice-versa. https://github.com/mesonbuild/meson/blob/d4eec9664bb96a093b92c3e1f565806686ea0ccb/mesonbuild/modules/qt.py#L236 There seem to be no tests about this. Am I getting something wrong? Thx for your time! By the way, thx for this great tool! :laughing: Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Chipped figure in matplotlib for a plain quantum circuit <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.16.1 - **Python version**: 3.8.6 - **Operating system**: Artix Linux ### What is the current behavior? When drawing a plain quantum circuit (just initializing the quantum and classical registers without implementing any gates), the figure rendered in matplotlib renders chipped text. Testing this with a previous release of terra (I used 0.15.1), the text appears fine without any chipping whatsoever. ### Steps to reproduce the problem ```python from qiskit import * qr = QuantumRegister(2) cr = ClassicalRegister(3) qc = QuantumCircuit(qr,cr) qc.draw('mpl') ``` *With current release (0.16.1)*: ![Figure_3](https://user-images.githubusercontent.com/59497618/99046039-32b70f00-25b8-11eb-8495-36356d9d4c4c.png) *With a previous release (0.15.1)*: ![Figure_1](https://user-images.githubusercontent.com/59497618/99044833-66913500-25b6-11eb-928b-0f413c479210.png) ### What is the expected behavior? The expected behaviour is to draw the circuit without any text chipping and draw the circuit as implemented in version 0.15.1. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Remove int_asbuffer On python 3, `int_asbuffer`: * Checks to see if dereferencing the address would segfault * Throws `NotImplementedError` if not I don't think it is worth keeping around. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: docker run working directory option Please add an option in fig.yml to mount the working directory like with `docker run -w /path/to/workdir <image> <command>`, which is also specified in a Dockerfile with: ``` WORKDIR /path/to/workdir ``` Something like this in fig.yml: ``` web: - image: my-image - command: my-command - workdir: /path/on/container ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: [meson 0.56] Cannot handle spaces in [binaries] paths / string index out of range in ninjabackend.py **Describe the bug** ``` Traceback (most recent call last): File "E:\vcpkg_cache\downloads\tools\meson\meson-0.56.0\mesonbuild\mesonmain.py", line 140, in run return options.run_func(options) File "E:\vcpkg_cache\downloads\tools\meson\meson-0.56.0\mesonbuild\msetup.py", line 253, in run app.generate() File "E:\vcpkg_cache\downloads\tools\meson\meson-0.56.0\mesonbuild\msetup.py", line 161, in generate self._generate(env) File "E:\vcpkg_cache\downloads\tools\meson\meson-0.56.0\mesonbuild\msetup.py", line 223, in _generate intr.backend.generate() File "E:\vcpkg_cache\downloads\tools\meson\meson-0.56.0\mesonbuild\backend\ninjabackend.py", line 533, in generate self.write_rules(outfile) File "E:\vcpkg_cache\downloads\tools\meson\meson-0.56.0\mesonbuild\backend\ninjabackend.py", line 1122, in write_rules b.count_rule_references() File "E:\vcpkg_cache\downloads\tools\meson\meson-0.56.0\mesonbuild\backend\ninjabackend.py", line 342, in count_rule_references if self._should_use_rspfile(): File "E:\vcpkg_cache\downloads\tools\meson\meson-0.56.0\mesonbuild\backend\ninjabackend.py", line 336, in _should_use_rspfile return self.rule.length_estimate(infilenames, File "E:\vcpkg_cache\downloads\tools\meson\meson-0.56.0\mesonbuild\backend\ninjabackend.py", line 273, in length_estimate if chunk[1] == '{': IndexError: string index out of range ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda remove --dry-run actually removes the package Is there anything set around here: https://github.com/conda/conda/blob/ded940c3fa845bbb86b3492e4a7c883c1bcec10b/conda/cli/main_remove.py#L196 to actually exit before removing the package if --dry-run is set but --json is not? I'm just running 3.11.0 and haven't grabbed and functionally tested master to see if this is still a problem. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Bart encoder with add_final_layer_norm https://github.com/huggingface/transformers/blob/91cb95461e438dc57555c4f57f8ce95a56328036/src/transformers/modeling_bart.py#L305 I feel like it should be self.layer_norm = LayerNorm(config.d_model) if config.add_final_layer_norm else None as in the BartDecoder. https://github.com/huggingface/transformers/blob/91cb95461e438dc57555c4f57f8ce95a56328036/src/transformers/modeling_bart.py#L486 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: AssertionError on completion on 5.0.0b2 Constantly reproducible AssertionError on completion. How to reproduce: - start ipython - type `import collect` - press Tab key - press Enter Additional info: - prompt_toolkit 1.0.0 (from PyPI) - ipython 5.0.0b2 (from PyPI) - [Crash_report_ipython.txt](https://github.com/ipython/ipython/files/304616/Crash_report_ipython.txt) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: `PauliOp.adjoint()` does not return correct value ### Environment - **Qiskit Terra version**: 0.24.0.dev0+e981b7e - **Python version**: 3.8.16 - **Operating system**: Linux ### What is happening? `PauliOp.adjoint()` does not return a correct answer like `SparsePauliOp.adjoint()` does. ### How can we reproduce the issue? ```python from qiskit.opflow.primitive_ops import PauliOp from qiskit.quantum_info import Pauli, SparsePauliOp sparse_pauli_op = SparsePauliOp(["iX"], [3.0]) expected = SparsePauliOp(["-iX"], [3.0]) assert sparse_pauli_op.adjoint() == expected # this is OK pauli_op = PauliOp(Pauli("X"), coeff=3j) expected = PauliOp(Pauli("X"), coeff=-3j) assert pauli_op.adjoint() == expected # this is also OK pauli_op = PauliOp(Pauli("iX"), coeff=3) expected = PauliOp(Pauli("-iX"), coeff=3) assert pauli_op.adjoint() == expected # returns AssertionError ``` ### What should happen? The code above should not return `AssertionError`. ### Any suggestions? _No response_ Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: BasicSwap cannot handle move_measurements.qasm In the process to understand #1575, I noticed that `BasicSwap` also fails with that example (in which `move_measurements.qasm` tries to be mapped). I managed to extract a minimal example: ``` coupling = CouplingMap([[0, 1], [1, 2]]) qr0 = QuantumRegister(1, 'q0') qr1 = QuantumRegister(1, 'q1') qr2 = QuantumRegister(1, 'q2') circuit = QuantumCircuit(qr0, qr1, qr2) circuit.cx(qr1[0], qr2[0]) dag = circuit_to_dag(circuit) layout = Layout([(qr1, 0), (qr0, 0), (qr2, 0)]) pass_ = BasicSwap(coupling, initial_layout=layout) after = pass_.run(dag) ``` This fails with `qiskit.dagcircuit.exceptions.DAGCircuitError: 'invalid wire mapping key q2[0]'`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Example config code uses invalid 'output_attention' rather than 'output_attentions' Looks like documentation only bug. `output_attention` used rather than `output_attentions`. Occurs in multiple places in repo. Maybe linked to #2985 ## Environment info - `transformers` version: 3.1.0 - Platform: Darwin-19.6.0-x86_64-i386-64bit - Python version: 3.7.4 - PyTorch version (GPU?): 1.5.1 (False) - Tensorflow version (GPU?): not installed (NA) - Using GPU in script?: No - Using distributed or parallel set-up in script?: No ### Who can help documentation: @sgugger ## Information Model I am using (Bert, XLNet ...): The problem arises when using: * [x] the official example scripts: (give details below) * [ ] 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 docs L4-L5 of AutoConfig example: [docs](https://huggingface.co/transformers/model_doc/auto.html#transformers.AutoConfig) or [code](https://github.com/huggingface/transformers/blob/master/src/transformers/configuration_auto.py#L264) ```python config = AutoConfig.from_pretrained('bert-base-uncased', output_attention=True, foo=False) assert config.output_attention == True ``` causes: ``` AttributeError: 'BertConfig' object has no attribute 'output_attention' ``` ## Expected behavior The assertion given in documentation passes. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: BUILD upgrade to isort v5 The contributing guide says > Right now, we need an unreleased version of isort to avoid a bug: However, it looks like the linked PR has been incorporated into the latest version of isort. I could submit a PR to address this if it would be welcome Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Compiler options with colons in them are not passed correctly The Microsoft compiler has many options that include colons. These are not handled correctly when they get included in the ninja.build file. For instance, if you try to pass the ```/Zc:wchar_t``` compiler option, it shows up in the build.ninja file as ```"/Zc$:wchar_t"``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the DataDog/integrations-core codebase. Here's the problem: etcd leader check uses unsupported endpoint The etcd integration currently uses the `/v3alpha/maintenance/status` endpoint when determining whether the instance it's checking is the leader: https://github.com/DataDog/integrations-core/blame/7ab36d84f116ccbdef71ed12b84e81462ca38113/etcd/datadog_checks/etcd/etcd.py#L127 However, this endpoint has been graduated to `/v3/...`, so trying to access the `/v3alpha/...` endpoint returns a 404 on etcd 3.4. This results in the leader tag not getting added. I think this check should be updated to use the `/v3/...` endpoint, since that is available on 3.4.0 (https://github.com/hexfusion/etcd/blob/v3.4.0/Documentation/dev-guide/apispec/swagger/rpc.swagger.json#L1045) and above. Per etcd's docs on suported versions (https://etcd.io/docs/v3.5/op-guide/versioning/), because 3.5 is the current version, 3.4 is still maintained, but anything below is no longer maintained. Also, the oldest maintained version of kubernetes (1.25) is using etcd 3.5 (https://github.com/kubernetes/kubernetes/pull/110033). I'd be happy to make a PR for this change! Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: coupling_map.subgraph() creates extra nodes Trying to get a subgraph of this coupling map: ```py from qiskit.test.mock import FakeMumbai from retworkx.visualization import mpl_draw backend = FakeMumbai() cmap = CouplingMap(backend.configuration().coupling_map) mpl_draw(cmap.graph) ``` <img width="418" alt="image" src="https://user-images.githubusercontent.com/8622381/125465693-39b6c29f-bf4e-4399-8fac-7fa82acd0a50.png"> If I use retworkx directly to get the subgraph on 9 nodes, it gives me this which is correct I think: ```py mpl_draw(cmap.graph.subgraph([0, 1, 4, 7, 10, 12, 15, 18, 17])) ``` ![image](https://user-images.githubusercontent.com/8622381/125466722-037600b3-f217-48c7-9f71-f93bc08d3ef7.png) But if I do the same using the CouplingMap API I get this. There are incorrect nodes added here: ```py cmap.subgraph([0, 1, 4, 7, 10, 12, 15, 18, 17]).draw() ``` ![image](https://user-images.githubusercontent.com/8622381/125466756-aba38feb-114b-47c2-acbe-959abc7f319d.png) @mtreinish says this is due to a difference in how networkx and retworkx implement `.subgraph()`. But I like the retworkx output because it numbers nodes as 0-k, and that is consistent with how coupling maps in qiskit are numbered (i.e. no "holes"). So I think something just needs to change here to remove the extra nodes. If we provide an option to keep the original node numberings, I'd be fine with that, but I'm not sure whether Qiskit can actually work with such a coupling map object. The best route I see is to remap the node numbers in the same order (smallest to 0, largest to k). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: docker-compose down shouldn't abort if resources have already been deleted Running `docker-compose down` a second time should be a no-op, but it complains about the network having already been removed: ``` console $ docker-compose down Stopping app_web_1 ... done Stopping app_redis_1 ... done Removing app_web_1 ... done Removing app_redis_1 ... done Removing network app_default $ docker-compose down Removing network app_default ERROR: network app_default not found ``` The same thing happens with volumes if you pass `-v`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Could I convert lightning module to onnx? Thanks! ## 🚀 Feature pytorch Lightning works very good, but I cannot find any comments or examples to guide my convert to onnx from a pretrained lightning model, doesn't lightning module only use for researching purpose, without support of onnx cross platform? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Storing embedded entity, it's ignoring exclude_from_indexes from embedded I'm trying to have a embedded entity with a field that is larger than 1500bytes. I add that field to the exclude_from_indexes key of the embedded entity. When I try and save the parent Entity it tells me the field is bigger than 1500bytes. If I save the embedded entity independently, it works. Is exclude_from_indexes ignored on embedded entity? ``` client = datastore.Client(dataset_id=projectID) record_key = client.key('Record', my_id) record_entity = datastore.Entity(record_key) embedded_key = client.key('Data', another_id) embedded_entity = datastore.Entity(key=embedded_key,exclude_from_indexes=('big_field',)) embedded_entity['field1']='1234' embedded_entity['big_field']='large string bigger than 1500bytes' record_entity['RandomFieldName']=embedded_entity client.put(record_entity) #Error: gcloud.exceptions.BadRequest: 400 The value of property "big_field" is longer than 1500 bytes. client.put(embedded_entity) #No Error ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Re-run system_requirements() I am using the following scenario: - I am running builds of our software on CI (Jenkins) which rely on some Conan packages - The packages feature `system_requirements()` to install some system packages - The builds run inside Docker container - The Docker container mount a volume to which all Conan data is cached between CI builds (to save bandwidth and speed things up in general) This is what happens: - The first CI build is fine - Conan package is not installed - it gets downloaded - `system_requirements()` install system packages inside the Docker container - whole build runs fine - On subsequent builds it fails - Conan package is already installed (because it is inside the mounted volume) - Conan does not invoke `system_requirements()` - System packages are missing in the Docker container - the build fails Is there any way to re-run `system_requirements()` for an already installed package? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: IPython 7.6 problem with %%time In IPython 7.6, the `%%time` magic is messing with the workspace. Looks like the last variable is never assigned in the workspace. This is a pretty serious error. IPython 7.5.0 worked fine, so I assume it's related to https://github.com/ipython/ipython/pull/11716/. Also works fine when there's exactly one statement inside the cell. ``` In [1]: %%time a = 1 b = 2 c = 3 ``` Wall time: 0 ns ``` In [2]: a, b, c ``` ``` --------------------------------------------------------------------------- NameError Traceback (most recent call last) <ipython-input-2-6fd489e9d195> in <module> ----> 1 a, b, c NameError: name 'c' is not defined ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: circuit without gates cannot be drew on latex ### Information - **Qiskit Terra version**: master - **Python version**: 3.7 - **Operating system**: MacOS ### Steps to reproduce the problem ```python from qiskit import * qc = QuantumCircuit(2) qc.draw('latex') ``` ``` IndexError: list index out of range ``` ### What is the expected behavior? Same as other drawers: ```python qc.draw('text') ``` ``` q_0: q_1: ``` ```python qc.draw('mpl') ``` ![image](https://user-images.githubusercontent.com/766693/92166787-36375880-ee07-11ea-95ad-fef23f88e2fc.png) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Create `optimization` stage (there is a different PM for each optimization level) plugins Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: ipython-qtconsole script isn't installed for Python 2.x Please see bug https://bugs.gentoo.org/show_bug.cgi?id=407823 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: Implement indexed updates that mix basic and advanced indexing I'm trying to update certain rows of a matrix with corresponding gradients. I tried "index_add" and it raised NotImplementedError for _scattter_update error for now. This is crucial for my use case where weight matrix selection is data-dependent. ```new_weights = index_add(weights, ops.index[neuron_indices + context_values, :], - learning_rate * gradient)``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: ⚠ Better warning/ handling for CTC models in ASR pipeline ### System Info - `transformers` version: 4.31.0 - Platform: Linux-5.15.109+-x86_64-with-glibc2.35 - Python version: 3.10.12 - Huggingface_hub version: 0.16.4 - Safetensors version: 0.3.1 - Accelerate version: not installed - Accelerate config: not found - PyTorch version (GPU?): 2.0.1+cu118 (False) - Tensorflow version (GPU?): 2.12.0 (False) - Flax version (CPU?/GPU?/TPU?): 0.7.0 (cpu) - Jax version: 0.4.13 - JaxLib version: 0.4.13 - Using GPU in script?: No - Using distributed or parallel set-up in script?: No ### Who can help? @sanchit-gandhi @arth ### Information - [X] The official example scripts - [ ] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction Created an independent colab to demostrate the issue: https://github.com/Vaibhavs10/scratchpad/blob/main/transformers_asr_pipeline_inconsistencies.ipynb The ASR pipeline behaviour should be consistent across `CTC` and `Seq2Seq` models. ### Expected behavior Either `CTC` models should default to `return_timestamps="word"` when passed with `return_timestamps=True` or we should pass a more intuitive error message. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Rescale layer in whisper processor ### Feature request Whisper processor does not currently rescale to the expected [-1, 1) that it requires. ### Motivation Consistency between model processor layers. ### Your contribution - Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: variable substitution in docker-compose.yml: empty default value is not supported Docker-Compose version 1.16.1, build `6d1ac21`. In my `docker-compose.yml` I am using an environment variable, which, if unset, must default to an empty value: ``` version: '3.3' services: test: image: alpine:latest command: echo "'${TEST:-}'" ``` Running this setup ends up with the following error: ``` $ TEST=test docker-compose up ERROR: Invalid interpolation format for "command" option in service "test": "echo ${TEST:-}" ``` Adding a space after 'minus' works around this issue: ``` $ sed -e 's/:-/:- /' docker-compose.yml | TEST=test docker-compose -f - up Recreating test_test_1 ... Recreating test_test_1 ... done Attaching to test_test_1 test_1 | 'test' test_test_1 exited with code 0 ``` But having an empty default should also work from my perspective. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: K8s Agent references old prefect docker image name ## Description Whenever the kubernetes agent creates a job, it references our old docker image naming conventions in at least on place [here](https://github.com/PrefectHQ/prefect/blob/d204261c6f9856dbfd7442a194de91c4be768e7f/src/prefect/agent/kubernetes/agent.py#L198). We should audit all such references and update them for our new naming scheme, which can be inferred from our `circleci/config.yml` file [here](https://github.com/PrefectHQ/prefect/blob/master/.circleci/config.yml#L296-L324) **cc:** @joshmeek Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Add automatic best model loading to Trainer # What does this PR do? This PR cleans up a bit the part that saves the training state inside `Trainer` and adds an API that can track which was the best model during any of the evaluation phases to load it back at the end. When fine-tuning a model on a dataset that can easily overfit the model, it's quite common to have the last model not be the best one (in terms of metrics). This PR adds a `TrainingArgument` named `load_best_model_at_end` that triggers the following behavior: - `save_steps` gets ignored and the model is saved every time there is an evaluation (determined by `evaluation_strategy` and `eval_steps`) - It keeps track in a `TrainerState` of when the best model was encountered (that state is saved along the checkpoints so it can work with resuming a training) - The best model is determined by the new `TrainingArgument`s `metric_for_best_model` (defaults to the loss) and `greater_is_better` (default to False for the loss, True otherwise). - The best model is loaded once the training is finished. In passing I've added some tests of the saving API in Trainer and made sure it can handle both `PreTrainedModel` and regular `nn.Module` (a feature asked in #6901). Both are now tested in the CI, as is the new API. Fixes #6901 Those newly introduced arguments and APIs can then be leveraged to have early stopping supported in `Trainer`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Solving the LD issue I think we (I) made a mistake with LD cross/native ld. We've caused a lot of regressions and our use of LD differs from what autotools does, which is confusing. I wonder if the best solutions is to (if IIRC) match autotools and go to a CCLD, CXXLD, etc environment variable, and remove LD. We could CCLD would only apply the C compiler, CXXLD would only apply to the C++ compiler, etc. If we want to go this route it would be a backwards incompatible change, and I'd like to land it for 0.53.1, with apologies. My plan would be that CCLD would work the same way the LD currently does, that is, if the C compiler is GCC like then the linker would be invoked with `$CC -fuse-ld=$CCLD`, for msvc it would be invoked as a binary, say `lld-link.exe`. Is my understanding of autotools correct, and does this plan make sense? Are we willing to make a backwards incompatible change after the release? Related #6413, #6431 @eli-schwartz, @jpakkane, @textshell (I think there was someone else on IRC who had opinions about this) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Catch another case with non-optional outputs See error message at simple_engine.py:76 When the previous outputs are not optional this should throw ``` step_context.log.info( ( 'Not all inputs covered for {step}. Not executing. Output need for ' 'inputs {expected_outputs}' ).format(expected_outputs=expected_outputs, step=step.key) ) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Issue with TrainingArguments docs. Hi Team, This is a minor issue but on this [link](https://huggingface.co/transformers/main_classes/trainer.html#transformers.TrainingArguments), the default optimizer mentioned is Adam in the docs. However, the `Trainer` uses AdamW by default. This is slightly misleading. Thanks, Gunjan Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Provide more informative error message upon incompatible extensions being found Currently, when incompatible extensions are found, the error message given to the user is something like: ![image](https://user-images.githubusercontent.com/57394/44363100-1b4c5280-a491-11e8-8889-bdd5034c99fa.png) For any user who's not intimately familiar with where extensions get installed, this isn't very useful as they won't know where to go. If we can provide the location on disk of the problematic extensions, at least the user can try to take some remediations on their own. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Enum input for meas_return to assembler is being converted incorrectly <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? Enum input to the assembler is being converted incorrectly to a string. ### Steps to reproduce the problem ```python qobj = assemble(pulse.Schedule(), backend) backend.run(qobj) ``` ### What is the expected behavior? ### Suggested solutions Convert enum to a string preemptively. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: trainer.save_model load error reference code : https://github.com/bhadreshpsavani/UnderstandingNLP/blob/master/go_emotion_of_transformers_multilabel_text_classification_v2.ipynb ---- ----> 6 save_model ='./model/emotion' ----> 7 trainer.save_model(save_model) ----> 8 load_model = AutoModel.from_pretrained(save_model) 4 frames [/usr/local/lib/python3.8/dist-packages/transformers/configuration_utils.py](https://localhost:8080/#) in __init__(self, **kwargs) 315 f"{self.id2label}. The number of labels wil be overwritten to {self.num_labels}." 316 ) --> 317 print(id2label) 318 self.id2label = dict((int(key), value) for key, value in self.id2label.items()) 319 # Keys are always strings in JSON so convert ids to int here. AttributeError: 'list' object has no attribute 'items' --- After fine-tuning the emotion classification model with 28 classes, I learned and saved it through trainer() , but the model is not loaded. can someone help? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Wrong std for implicitly complex input <!-- Please describe the issue in detail here, and fill in the fields below --> Standart deviation formula could give unexpected result (e.g. imaginary values) when input is implicitly complex. ### Reproducing code example: <!-- A short code example that reproduces the problem/missing feature. It should be self-contained, i.e., possible to run as-is via 'python myproblem.py' --> ```python import numpy as np a = np.array([None, 0]) a[0] = 1j b = np.array([1j, 0]) print(f'res={np.std(a)}, dtype={a.dtype}') # gives imaginary std print(f'res={np.std(b)}, dtype={b.dtype}') ``` <!-- Remove these sections for a feature request --> ### Error message: <!-- If you are reporting a segfault please include a GDB traceback, which you can generate by following https://github.com/numpy/numpy/blob/master/doc/source/dev/development_environment.rst#debugging --> <!-- Full error message, if any (starting from line Traceback: ...) --> ### Numpy/Python version information: numpy 1.16.2 python 3.7 <!-- Output from 'import sys, numpy; print(numpy.__version__, sys.version)' --> res=0.5j, dtype=object res=0.5, dtype=complex128 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Automate language matters check Please take a look at the last commit only. It is based on #9174 --- Make sure to mark the boxes below before creating PR: [x] - [x] Description above provides context of the change - [x] Unit tests coverage for changes (not needed for documentation changes) - [x] Target Github ISSUE in description if exists - [x] Commits follow "[How to write a good git commit message](http://chris.beams.io/posts/git-commit/)" - [x] Relevant documentation is updated including usage instructions. - [x] I will engage committers as explained in [Contribution Workflow Example](https://github.com/apache/airflow/blob/master/CONTRIBUTING.rst#contribution-workflow-example). --- In case of fundamental code change, Airflow Improvement Proposal ([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvements+Proposals)) is needed. In case of a new dependency, check compliance with the [ASF 3rd Party License Policy](https://www.apache.org/legal/resolved.html#category-x). In case of backwards incompatible changes please leave a note in [UPDATING.md](https://github.com/apache/airflow/blob/master/UPDATING.md). Read the [Pull Request Guidelines](https://github.com/apache/airflow/blob/master/CONTRIBUTING.rst#pull-request-guidelines) for more information. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: None value and default value in options - [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 v1.6.1, Windows I know that the value `None` has a special meening in options. I think the exact meening is not fully documented (see also https://github.com/conan-io/conan/issues/2780#issuecomment-383234689). In the following example the behaviour seems inconsistent: ```python class libaconan(ConanFile): name = "liba" version = "1.0" options = {"opt": [None, "a"]} default_options = "opt=a" def configure(self): print("opt =", self.options.opt) ``` - `conan install liba/1.0@user/testing` prints `opt = a` - `conan install liba/1.0@user/testing -o opt=a` prints `opt = a` - `conan install liba/1.0@user/testing -o opt=None` prints `opt = None` (!) But with libb consuming liba: ```python class libbconan(ConanFile): name = "libb" version = "1.0" requires = "liba/1.0@user/testing" ``` - `conan install libb/1.0@user/testing` prints `opt = a`. - `conan install libb/1.0@user/testing -o liba:opt=a` prints `opt = a`. - `conan install libb/1.0@user/testing -o liba:opt=None` prints `opt = a`. (!) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: conan inspect should not fail on missing attribute Conan 1.9.1 I'm trying to get list of direct dependencies for the recipe and when I run `conan inspect -a build_requires` on a recipe without `build_requires` it just fails because `AttributeError` is fatal. I think this behavior is inconvenient as I don't know in advance which attributes are present and if I specify multiple custom attributes, whole command fails. I suggest that missing attributes should be translated to missing keys in the resulting dictionary (effectively ignoring `AttributeError` in `ConanAPIV1.inspect()` instead of converting it to `ConanException`). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: [CMake] subproject panic when including non "C:\" libraries **Describe the bug** CMake subprojects will panic when trying to include libraries not installed to the `C:` drive **To Reproduce** build a CMake subproject, make sure it has a dependency not on the `C:` drive. Discovery of bug included building `LibKF5Attica` as a subproject, with `QT5` as a dependency on drive `D:`. Native CMake build completed successfully with this setup. **Expected behavior** Build the subproject. **system parameters** native build Windows 10 (Current latest patch KB4538461) python version 3.7.1 meson version 0.54.1 ninja Not Applicable. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Update Storage after #9915, incompatible change. Currently unit and system tests for storage are failing due to a change introduced by #9915 ``` headers[CLIENT_INFO_HEADER] = self.user_agent headers["User-Agent"] = self.user_agent return self._do_request( > method, url, headers, data, target_object, timeout=timeout ) E TypeError: _do_request() got an unexpected keyword argument 'timeout' ``` Unit Tests: `29 failed, 681 passed, 2 skipped in 14.05s` Update minimum versions for core/api core in storage to ``` "google-auth >= 1.9.0, < 2.0dev", "google-api-core >= 1.15.0, < 2.0dev", "google-cloud-core >= 1.1.0, < 2.0dev" ``` Rerun tests and adjust to account for timeout param. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: scm get ignore files crashing By an unknown cause, the `excluded_files` function (Conan 1.8.4) during the call to `git check-ignore` is raising a `FileNotFoundError`. Investigate when it can happen. Maybe the `self.folder`? Apparently calling manually it works. But anyway it would be better to just print a warning and ignore the failure, because this is only an optimization. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: qc.count_ops() should return the operations sorted from high to low by number of occurances <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? `count_ops` should use a ordered dict with the order set by the number of times the gate is used in the circuit. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: pubsub: The publisher client API page is empty The documentation page is empty. https://googlecloudplatform.github.io/google-cloud-python/latest/pubsub/publisher/api/client.html However, the subscriber page is working. https://googlecloudplatform.github.io/google-cloud-python/latest/pubsub/subscriber/api/client.html Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the google/jax codebase. Here's the problem: JAX with GPU support requires jaxlib version 0.1.26 I've got an issue. So, I followed the installation instructions here: ![image](https://user-images.githubusercontent.com/12001304/64115427-e8b98300-cd8f-11e9-879c-b4935195991c.png) Then I run the following line in `JupyterLab`: ```python import jax.numpy as jnp ``` And that produces the following error: ```python ValueError: jaxlib is version 0.1.23, but this version of jax requires version 0.1.26. ``` I went back and changed the second last line to: ```bash pip install --upgrade $BASE_URL/$CUDA_VERSION/jaxlib-0.1.26-$PYTHON_VERSION-none-$PLATFORM.whl ``` Tried running. But, was denied. ![image](https://user-images.githubusercontent.com/12001304/64115630-6bdad900-cd90-11e9-92d6-ebc6dc1c15a0.png) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: bump repodata pickle version in 4.3.x Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: docker-compose does not have a way to override tls version at the commandline Using compose, if I set COMPOSE_TLS_VERSION DOCKER_TLS_VERIFY DOCKER_CERT_PATH docker-compose works fine and gives me no errors. If I decide to use command line argument instead of these environment variables, I have no way to set which version of TLS I want to use. For servers that do not support TLS version 1, I get the following errors: ERROR: SSL error: [SSL: TLSV1_ALERT_PROTOCOL_VERSION] tlsv1 alert protocol version (_ssl.c:590) Setting the COMPOSE_TLS_VERSION environment variable and using compose with TLS arguments doesn't seem to work. Compose seems to ignore it if TLS cmdline options are used. --- docker-compose binary version 1.9.0 and 1.11.2 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Remove ParameterTable import From QFT.inverse <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? Following https://github.com/Qiskit/qiskit-terra/pull/4319#discussion_r417599735 : > @mtreinish 1 hour ago Member > > Is there a reason this is a run time import? > @kdk > kdk 1 hour ago Author Member > > Only because it's a bit of hack (qft shouldn't have to manage it's own parameter table). Looking now though, this could be avoided if we set inverted.data = [] instead of inverted._data = []. I'll take care of that. @kdk kdk 1 hour ago Author Member > > Never mind, inverted.data = [] fails with AttributeError: can't set attribute. Maybe because BlueprintCircuit overrides the data property but not also the setter? @Cryoris Cryoris 44 minutes ago • Member > > super()._invalidate() > self._data = [] > > should work I think, the blueprint circuit resets the parameter table upon _invalidate. (Then also the _invalidate method of QFT can be removed). > >Actually, on a second look, the inverse method should probably be added to the BlueprintCircuit to do this inversion. Then inverse would return a BlueprintCircuit instead of a QuantumCircuit. But we can do this after the release, this is not crucial for the functionality. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: API Core PyType fails intermittently/changing errors https://github.com/googleapis/google-cloud-python/pull/6769 Copying from #6769 and @rchen152 > @crwilcox It looks like what's happening is that pytype is somehow finding multiple files named path_template.py (and timeout.py and grpc_helpers.py - the error probably differs because it varies which file pytype discovers first). The other thing I noticed is that the file count in the status message ("Analyzing 53 sources with 0 dependencies") differs from the one I see (28 sources). Any idea why there might be two copies of some source files? > > EDIT: if there are two files with the same name in different directories, this may be google/pytype#198. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: small improvement to DAGCircuit.replace_block_with_op() ### What should we add? Short version: - Add the line `return new_node` to the end of `DAGCircuit.replace_block_with_op()`. Details: `DAGCircuit.replace_block_with_op(block, op, ...)` internally creates a `new_node` containing `op`, and replaces the `block` of DAG nodes by this `new_node`. I think `replace_block_with_op()` should return `new_node`. (Currently there is no `return` statement). This change would be in line with the behavior of `DAGCircuit.substitute_node()`, which does return its internal `new_node`. Otherwise, the user does not know the node_id or even the name of the new node, so finding the new node for further manipulations is difficult. (All I can think of is to look along one of the wires for the one node in the new DAG that wasn't in the old DAG... obviously this is cumbersome.) Since the function already has `new_node` available internally, seems like we may as well `return` it. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: transfer_to_batch_gpu returns null when input has primitives **Describe the bug** when passing a batch such as: ```python batch = list(tensor, tensor, [0,1,2]) ``` the list of ints won't be returned correctly **Additional context** Fix should add a return of the item it no condition matches Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: docker-compose run should terminate container on SIGHUP When running `docker-compose run --rm $service $cmd`, the expectation is that the container will be terminated when docker-compose terminates. If docker-compose terminates due to SIGHUP (which can happen for example when docker-compose is run in a remote server and the ssh connection is terminated), it will leave the container running. It should stop and remove (if --rm was passed) the container. docker-compose run should terminate container on SIGHUP When running `docker-compose run --rm $service $cmd`, the expectation is that the container will be terminated when docker-compose terminates. If docker-compose terminates due to SIGHUP (which can happen for example when docker-compose is run in a remote server and the ssh connection is terminated), it will leave the container running. It should stop and remove (if --rm was passed) the container. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Create `translation` stage (translator, synthesis, unroller) plugins Create transpiler stage plugins and export them in the qiskit-terra metadata (similar to how the routing stage is done now) for the translation stage. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Create RSS Tasks for Task Library Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: MLM training for DeBERTa not supported: configuration class is missing When I ran the example script run_mlm.py to fine tune the pretrained deberta model on a customized dataset, I got the following error. The same command worked for roberta-base. The command: python run_mlm.py --model_name_or_path 'microsoft/deberta-base' --train_file slogans/train.txt --validation_file slogans/test.txt --do_train --do_eval --per_device_train_batch_size 64 --per_device_eval_batch_size 64 --learning_rate 1e-3 --num_train_epochs 10 --output_dir /home/jovyan/share2/xiaolin/models/mlm/temp --save_steps 5000 --logging_steps 100 The terminal error: Traceback (most recent call last): File "run_mlm.py", line 409, in <module> main() File "run_mlm.py", line 264, in main cache_dir=model_args.cache_dir, File "/home/jovyan/.local/lib/python3.7/site-packages/transformers/models/auto/modeling_auto.py", line 1093, in from_pretrained config.__class__, cls.__name__, ", ".join(c.__name__ for c in MODEL_FOR_MASKED_LM_MAPPING.keys()) ValueError: Unrecognized configuration class <class 'transformers.models.deberta.configuration_deberta.DebertaConfig'> for this kind of AutoModel: AutoModelForMaskedLM. Model type should be one of LayoutLMConfig, DistilBertConfig, AlbertConfig, BartConfig, CamembertConfig, XLMRobertaConfig, LongformerConfig, RobertaConfig, SqueezeBertConfig, BertConfig, MobileBertConfig, FlaubertConfig, XLMConfig, ElectraConfig, ReformerConfig, FunnelConfig, MPNetConfig, TapasConfig. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: basis translation method based on unitary synthesis As a follow-up to https://github.com/Qiskit/qiskit-terra/pull/4446, we should have another method for basis translation that relies on `OneQubitEulerDecomposer` and `TwoQubitBasisDecomposer`. There are some advantages to this, the main one being that the decompositions are algorithmic and can cover a wider range of basis. For example if someone comes up with some esoteric two-qubit gate as the native gate, this code will handle it whereas the EquivalenceLibrary is only as good as its populated content. This has to be done after all 3+ qubit gates are decomposed. Then I think a sequence of 1-qubit and 2-qubit block collection passes followed by invoking those synthesizers will do the job. It remains to be seen which basis translation method works best and it's something we will need to benchmark. But this empowers us to do so. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Operator(circuit) does not return the correct unitary <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information -Qiskit Terra version: 0.8.1 -Python version: 3.7.2 -Operating system: MacOS Mojave ### What is the current behavior? The data stored in Operator(circuit).data (with Operator imported from qiskit.quantum_info ) seems not to correspond to the right unitary for certain circuits. ### Steps to reproduce the problem Choose the following circuit: qasm = 'OPENQASM 2.0;' qasm += 'include "qelib1.inc";' qasm += 'qreg q[3];' qasm += 'creg c[3];' qasm += 'rx(3.141592653589793) q[2];' qasm += 'ry(0.294524311274043) q[2];' qasm += 'cx q[0],q[2];' qasm += 'ry(-0.0981747704246810) q[2];' qasm += 'cx q[1],q[2];' qasm += 'ry(0.0981747704246810) q[2];' qasm += 'cx q[0],q[2];' qasm += 'ry(-3.141592653589793) q[2];' circuit = QuantumCircuit.from_qasm_str(qasm) One finds a different result [than the one found by(Operator(circuit).data] using the unitary_simulator: simulator = BasicAer.get_backend('unitary_simulator') result = execute(circuit, simulator).result() unitary = result.get_unitary(circuit) matrix_equal(Operator(circuit).data, unitary, ignore_phase=True) The last line returns False. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Update context / config docs - config is now in context - users shouldn't directly modify config; always use context Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: refactor `bigquery_query_params_*` code samples to pass `query_parameters` to `QueryJobConfig` constructor **Is your feature request related to a problem? Please describe.** The code samples for using query parameters are a bit hard to follow because they create several temporary variables. https://github.com/googleapis/google-cloud-python/blob/518931bb306ed7cb78ce76323fbde289fbc15338/bigquery/docs/snippets.py#L1868-L1873 The code samples are still in `snippets.py`. Ideally these samples would be moved to the `samples/` directory. The code samples supply a `location` argument for queries, even though this can now be autodetected for queries in all regions. **Describe the solution you'd like** A clear and concise description of what you want to happen. - [ ] Move any `bigquery_query_params_...` samples to the `samples/` directory. - [ ] Remove the `location` argument from the `query()` method in the moved code samples - [ ] Use the `query_parameters` argument in the constructor to `QueryJobConfig` (added in https://github.com/googleapis/google-cloud-python/pull/6397). ```python job_config = bigquery.QueryJobConfig( query_parameters=[ bigquery.ScalarQueryParameter("corpus", "STRING", "romeoandjuliet"), bigquery.ScalarQueryParameter("min_word_count", "INT64", 250), ], ) ``` **Describe alternatives you've considered** A clear and concise description of any alternative solutions or features you've considered. N/A **Additional context** Add any other context or screenshots about the feature request here. Reported by customer in internal issue 143862711. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Regression in installing symlinked source files as regular files After https://github.com/mesonbuild/meson/issues/3914 systemd installation has regressed. The source tree has: ./units/basic.target (not installed) ./test/basic.target -> ../units/basic.target In test/meson.build it does: install_data(file, install_dir : testsdir + '/testdata/' + subdir) To install ./test/basic.target into ./usr/lib/systemd/tests/testdata/basic.target Previously with v0.47 and earlier, installation of ./test/basic.target into /usr/lib/systemd/tests/testdata/basic.target would result in a regular text file. Now with master it results in /usr/lib/systemd/tests/testdata/basic.target being a dangling symlink to a non-existant '../units/basic.target' I believe this is a regression and a change of behavior. It is slightly unexpected that a resolvable source file, started to be copied as a broken dangling symlink. Especially since install_symlink is not used.... Is this an upstream bug or feature? How should this be fixed in meson or in my meson.build? And to be backwards/forwards compatible with older and the upcoming meson versions.... Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the kubeflow/pipelines codebase. Here's the problem: cmle training component should output job_dir.txt It should output the file regardless user provides jodDir or not, otherwise argo will fail. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Changes to files outside source dir do not trigger reconfigure In my Meson script, I read some configuration files that affect the build. If the config file is in the source dir, all is fine. However, if I'm reading a config file that is in the build dir, weird things happen. When the build dir is inside the source dir (I tested in `build` subdirectory), meson generates dependencies as expected and when config files change Meson is re-run automatically. However, when build dir is a sibling of the source dir, those same dependencies are _not_ generated and `ninja` ignores changes to those files. Here is a short test example: ```meson project( 'meson test', [ 'c', 'cpp' ], ) conf_file = files(meson.build_root() / '_testcfg') run_command('cat', conf_file) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Proposal: Support for creating volume and network with label options I have ran into a situation where I need to get networks and volumes created by a given compose project. I think it could be done by adding a label to the networks and volumes defined in the compose file and then I could query the networks and volumes by a label filter through docker api. But when I check the schema definition at **compose/config/config_schema_v2.0.json**, I found it's not supported by compose. Would it be better if creating volume and network with label options is supported? I could do this if this feature is reasonable. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Support --net value in fig.yml It should be possible to decide between one of available values for --net argument in run command (bridge, hoste, etc.) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Cannot roll back with 'conda install --revision' ``` error: AttributeError("'dict' object has no attribute 'get_pfe'",) command: C:\Program Files\Anaconda3\Scripts\conda install --revision 4 user_agent: conda/4.4.4 requests/2.18.4 CPython/3.5.2 Windows/8.1 Windows/6.3.9600 _messageid: -9223372036843575560 _messagetime: 1514442489595 / 2017-12-28 00:28:09 Traceback (most recent call last): File "C:\Program Files\Anaconda3\lib\site-packages\conda\exceptions.py", line 724, in __call__ return func(*args, **kwargs) File "C:\Program Files\Anaconda3\lib\site-packages\conda\cli\main.py", line 78, in _main exit_code = do_call(args, p) File "C:\Program Files\Anaconda3\lib\site-packages\conda\cli\conda_argparse.py", line 75, in do_call exit_code = getattr(module, func_name)(args, parser) File "C:\Program Files\Anaconda3\lib\site-packages\conda\cli\main_install.py", line 11, in execute install(args, parser, 'install') File "C:\Program Files\Anaconda3\lib\site-packages\conda\cli\install.py", line 232, in install progressive_fetch_extract = unlink_link_transaction.get_pfe() AttributeError: 'dict' object has no attribute 'get_pfe' ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Numpy failing to install with python3.5 The new release of numpy fails to install when using python3.5. It seems clear the problem is the use of f string formatting in the setup.py file that is only supported in python 3.6 and higher. ### Reproducing code example: ``` docker run python:3.5.2-alpine pip install numpy==1.19.0rc1 ``` <!-- Remove these sections for a feature request --> ### Error message: File "/tmp/pip-build-gg798dty/numpy/setup.py", line 182 raise ValueError(f'Submodule {p} missing') ^ SyntaxError: invalid syntax ### Numpy/Python version information: Fails installing `numpy==1.19.0rc1` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: setting default_channels from CLI raises NotImplementedError Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the gitpython-developers/GitPython codebase. Here's the problem: Exception when constructing a Repo() from a pathlib.Path ``` python Traceback (most recent call last): File "venv/bin/gridtied", line 11, in <module> load_entry_point('gridtied', 'console_scripts', 'gridtied')() File "/home/epc/g/20/grid-tied/venv/lib/python3.6/site-packages/click/core.py", line 722, in __call__ return self.main(*args, **kwargs) File "/home/epc/g/20/grid-tied/venv/lib/python3.6/site-packages/click/core.py", line 697, in main rv = self.invoke(ctx) File "/home/epc/g/20/grid-tied/venv/lib/python3.6/site-packages/click/core.py", line 1066, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/epc/g/20/grid-tied/venv/lib/python3.6/site-packages/click/core.py", line 895, in invoke return ctx.invoke(self.callback, **ctx.params) File "/home/epc/g/20/grid-tied/venv/lib/python3.6/site-packages/click/core.py", line 535, in invoke return callback(*args, **kwargs) File "/home/epc/g/20/grid-tied/python/gridtied/package.py", line 59, in cli commit(), File "/home/epc/g/20/grid-tied/python/gridtied/package.py", line 35, in commit repo = git.Repo(gridtied.project_root) File "/home/epc/g/20/grid-tied/venv/lib/python3.6/site-packages/git/repo/base.py", line 119, in __init__ if expand_vars and ("%" in epath or "$" in epath): TypeError: argument of type 'PosixPath' is not iterable ``` https://github.com/gitpython-developers/GitPython/blob/master/git/repo/base.py#L119 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Tons of warnings on use of TransfoXLModel. masked_fill_ input dtype torch.uint8 should be changed to torch.bool ## 🕑 Usage of deprecated behaviour Using example from documentation web page: https://huggingface.co/pytorch-transformers/model_doc/transformerxl.html#pytorch_transformers.TransfoXLModel ``` import torch from pytorch_transformers import * tokenizer = TransfoXLTokenizer.from_pretrained('transfo-xl-wt103') model = TransfoXLModel.from_pretrained('transfo-xl-wt103') input_ids = torch.tensor(tokenizer.encode("Hello, my dog is cute")).unsqueeze(0) outputs = model(input_ids) last_hidden_states, mems = outputs[:2] ``` Get tons of same warnings: > /pytorch/aten/src/ATen/native/LegacyDefinitions.cpp:14: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. ![image](https://user-images.githubusercontent.com/9883873/63766644-4b180c80-c8d4-11e9-890c-9da640b5c0e8.png) Created #1120 to fix it. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: plot_histogram sort by value there's a `sort` argument in `plot_histogram()` which sorts according to the keys. But it would be useful to be able to sort according to the values (i.e. height of bars). Like put the most likely outcomes first and so on. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Revisions: Manage non-pristine state in repo to capture the revision What to do during the export if the SCM folder contains not committed changes? Mark in metadata as "dirty" and forbid upload? What if we enable `scm_mode` to `hash` but still using `scm` feature? #4413 What if we don't use `scm` feature but revisions? Looks like it has to be marked as `dirty` both if we use the `scm_mode` as revisions mode and/or if we use the `scm` feature. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Add support for Funnel-Transformer # 🌟 New model addition ## Model description The recently introduced Funnel-Transformer architecture and models would be a great feature for Transformers: >Funnel-Transformer is a new self-attention model that gradually compresses the sequence of hidden states to a shorter one and hence reduces the computation cost. More importantly, by re-investing the saved FLOPs from length reduction in constructing a deeper or wider model, Funnel-Transformer usually has a higher capacity given the same FLOPs. In addition, with a decoder, Funnel-Transformer is able to recover the token-level deep representation for each token from the reduced hidden sequence, which enables standard pretraining. The paper can be found [here](https://arxiv.org/abs/2006.03236). ## Open source status * [x] the model implementation is available: [official GitHub repo](https://github.com/laiguokun/Funnel-Transformer) * [x] the model weights are available: [Google Cloud Bucket](https://github.com/laiguokun/Funnel-Transformer/blob/master/download_all_ckpts.sh) * [x] who are the authors: @zihangdai and @laiguokun Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Download command switch to just download the recipe. Hi guys, congrats on getting 1.0 out! I think it might be useful to add a command switch for the download command to only download the conanfile.py. I have a use case where I need to re-host some packages locally on our own conan_server, when I do a search and download using conan it downloads all of the package folders for a package. To save on time and bandwidth it would be useful to just download the recipe and build the packages our devs will use ourselves. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: wxWidgets dependency: static option not working ## Description The option to link the dependency static is not working for wxWidgets. However, I've found a little hack to make it work, but I guess that's something that should be fixed. ## Expected behaviour: if the dependency is declared as: ``` wxDep = dependency('wxwidgets', version : '>=3.0.0', required : true, static : true, modules : ['std', 'stc']) ``` The application should built with static linking of the wxWidgets-modules. ## What happens: The application builds successful, but is not linked static. ## Temporary workarond I've found a workaround, by doing this: ``` add_project_link_arguments('--static', language : ['c', 'cpp']) #This is needed to also link other libraries static wxDep = dependency('wxwidgets', version : '>=3.0.0', required : true, modules : ['--static', 'std', 'stc']) ``` This way, it's build with fully static linking. Build command used: ``` meson setup build_win --default-library=static && ninja -C build_win ``` Systeminfo: Windows 10, MSYS2/mingw64 subsystem Meson Version: 0.53, installed within MSYS2 I'll attach the Testproject, so you can reproduce this (Includes buildfiles and logs). [wxTest.zip](https://github.com/mesonbuild/meson/files/4142792/wxTest.zip) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Qasms with composite gates don't load Here is the qasm string 'OPENQASM 2.0;\ninclude "qelib1.inc";\ngate r q { h q; s q; h q; s q; }\ngate rinv q {sdg q; h q; sdg q; h q; }\ngate sinv q {s q; z q;}\nqreg q[3];\ncreg c[3];\nrinv q[0];\ncx q[1], q[2];\nr q[1];\nrinv q[2];\ncx q[0], q[2];\nrinv q[0];\nr q[2];\ncx q[0], q[1];\nrinv q[1];\ny q[0];\nbarrier q[0], q[1], q[2];\nr q[1];\ncx q[0], q[1];\nrinv q[2];\nr q[0];\ncx q[0], q[2];\nr q[2];\nrinv q[1];\ncx q[1], q[2];\nr q[0];\nx q[0];\nz q[1];\nmeasure q[0] -> c[0];\nmeasure q[1] -> c[1];\nmeasure q[2] -> c[2];' If I run `from_qasm_str` I get `QiskitError: 'unknown operation for ast node name rinv'` ### Informations - **Qiskit Terra version**: - **Python version**: - **Operating system**: ### What is the current behavior? ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Outdated conda notification does not respect `-q` arg The notify_outdated_conda warning checks only `if context.notify_outdated_conda`, but I think it should check `if context.notify_outdated_conda and not context.quiet`. If I specify the `-q` flag, I don't want to see this warning. Outdated conda notification does not respect `-q` arg The notify_outdated_conda warning checks only `if context.notify_outdated_conda`, but I think it should check `if context.notify_outdated_conda and not context.quiet`. If I specify the `-q` flag, I don't want to see this warning. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Disable default sigmoid function for single label classification Inference API # 🚀 Feature request Allow people to disable the default sigmoid function in TextClassificationPipeline (maybe via model cards?). ## Motivation When we use the sequence classification model (e.g. RobertaForSequenceClassification) for regression tasks, the output may have different ranges other than [0,1], it would be better to allow configurations for the sigmoid function in TextClassificationPipeline. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Missing implicit dependency to generated code **Describe the bug** When using the result of `custom_target` as source to a build target, an implicit dependency (or order-only dependency?) should be added to each object file to ensure that the generated code is built before the other sources, because the other sources may depend on the generated code. **To Reproduce** Try to build the project https://github.com/rtbo/meson-dep-test (meson.build copied hereafter). Compilation of `lib.d` races with compilation of `generated.d` and cannot find module `generated`. If I manually add `generated.o` as implicit dependency of `lib.o` in `ninja.build`, everything is file. ```meson project('meson-dep-test', 'd') generator = executable('generator', 'generator.d') generated = custom_target('generated', capture: true, output: 'generated.d', input: 'input.txt', command: [ generator, '@INPUT@' ] ) lib = static_library('lib', generated, 'lib.d', include_directories: include_directories('.'), ) ``` **Expected behavior** Reliable build without race **system parameters** Arch Linux meson master branch (0.62.99) Python 3.10.4 Ninja 1.11.0 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: c_std and cpp_std are not honored when compiling Objective-C/C++ files ``` $ echo 'int main(void){return 0;}' > x.m $ cat > meson.build project('test', 'objc', default_options: ['c_std=c99']) executable('testexe', 'x.m') ``` If you set this up and build with `ninja -v`, you'll see ``` [1/2] cc -Itestexe@exe -I. -I.. -pipe -Wall -Winvalid-pch -g -MD -MQ 'testexe@exe/x.m.o' -MF 'testexe@exe/x.m.o.d' -o 'testexe@exe/x.m.o' -c ../x.m ``` Notice how the c99 flag is not properly applied. I see `objc_args` was a thing, but changing to `objc_std` does not fix it. The same happens with `cpp_std` and Objective-C++. This is causing build errors for me as I'm using C++11-only features. (And that project also uses `add_language()` to add `objc` and `objcpp` on macOS only.) Currently using meson 0.50.1 (through MacPorts) on macOS Sierra with Xcode 9.2. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Release 'datastore 1.7.0' Major changes are: - Add support for Python 3.7. - Drop support for Python 3.4. - Bugfix: query offsets (#4675). Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Tests for flags fail on clang with -Weverything -Werror due to missing variable declarations Setting C/CXXFLAGS to "-Weverything -Werror" causes checks for compiler flags (e.g., `cc.has_argument('-fopenmp-simd')`) to always fail because the test Meson uses to check the flag uses an undeclared variable, which triggers clang's `-Wmissing-variable-declarations` diagnostic. I'm not sure when -Wmissing-variable-declarations was added to clang, but it is definitiely included in 10.0. I can't imagine you need any help reproducing this, but if you do you can use [SIMDe](https://github.com/nemequ/simde). Here is the relevant output from meson-logs/meson-log.txt: ``` Running compile: Working directory: /home/nemequ/local/src/simde/build/meson-private/tmpfvjq1jts Command line: clang /home/nemequ/local/src/simde/build/meson-private/tmpfvjq1jts/testfile.c -o /home/nemequ/local/src/simde/build/meson-private/tmpfvjq1jts/output.obj -pipe -c -Weverything -Werror -D_FILE_OFFSET_BITS=64 -O0 -Werror=unknown-warning-option -Werror=unused-command-line-argument -Werror=ignored-optimization-argument -fopenmp-simd Code: int i; Compiler stdout: Compiler stderr: /home/nemequ/local/src/simde/build/meson-private/tmpfvjq1jts/testfile.c:1:5: error: no previous extern declaration for non-static variable 'i' [-Werror,-Wmissing-variable-declarations] int i; ^ /home/nemequ/local/src/simde/build/meson-private/tmpfvjq1jts/testfile.c:1:1: note: declare 'static' if the variable is not intended to be used outside of this translation unit int i; ^ 1 error generated. Compiler for C supports arguments -fopenmp-simd: NO ``` Note that `-Wc++98-compat-pedantic` is also triggered by the missing newline, which causes checks for OpenMP to fail. I suspect that this is the same root issue, and that is just the C++ manifestation. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: UI time zone not used in Gantt charts tooltips **Apache Airflow version**: v2.0.0.dev0 **Kubernetes version (if you are using kubernetes)** (use `kubectl version`): - **Environment**: Docker - **Cloud provider or hardware configuration**: - - **OS** (e.g. from /etc/os-release): Debian GNU/Linux 10 (buster) - **Kernel** (e.g. `uname -a`): Linux 6dac905dd519 4.19.76-linuxkit #1 SMP Thu Oct 17 19:31:58 UTC 2019 x86_64 GNU/Linux - **Install tools**: Airflow Breeze (image: apache/airflow:master-python3.6-ci) - **Others**: - **What happened**: Gantt charts seem to always use UTC for displaying task start/end dates, but use local time for time axis, regardless of the time zone set in UI (see screens below: my local time zone is CEST).    **What you expected to happen**: Time zone of the time axis and task start/end dates should be the same - probably the time zone specified in the UI should be used. **How to reproduce it**: Simply go to Gantt chart of any Dag Run and try changing the time zone in the UI to see that neither the time axis nor task start/end dates reflect the change. You can also change the local time on your workstation and refresh the page with Gantt chart to see that time axis changed to reflect the new time zone. **Anything else we need to know**: - Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: DOC: link to SciPy's multidimensional interpolation functions <!-- Please describe the issue in detail here, and fill in the fields below --> ### Reproducing code example: np.interp currently requires its `fp` argument to be one-dimensional. An obvious generalization would be to allow interpolation of `R->R^n` functions, by allowing `fp` to have shape (..., len(x)) (or (len(x), ...) -- whichever is consistent with e.g. polyfit). Obviously the shapes of `left` and `right` should be adjusted accordingly. Thoughts? ### Numpy/Python version information: <!-- Output from 'import sys, numpy; print(numpy.__version__, sys.version)' --> ``` 1.17.0 3.7.3 (default, Mar 27 2019, 22:11:17) [GCC 7.3.0] ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: [general] Documentation on page_size is very minimal. The explanation of page_size is extremely limited. Example from the [logging API:](https://github.com/googleapis/google-cloud-python/blob/master/logging/google/cloud/logging/client.py#L185) `maximum number of entries to return, If not passed, defaults to a value set by the API.` If you're familiar with gRPC then this makes sense, but for newcomers this is extremely limited information. Simple wording change can make a lot of difference here IMHO. Looking at [this example](https://googleapis.github.io/google-cloud-java/google-cloud-clients/apidocs/com/google/cloud/spanner/Options.html#pageSize-int-) from the Cloud Spanner Javadocs shows a slight change, but makes it easier to understand: `Specifying this will cause the list operations to fetch at most this many records in a page.` On a semi-related note, having usage examples would also clarify the usage a lot, but this can be said for all methods in the whole python library. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: make python examples using_qiskit* and other examples run as a test <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? Since the using_qiskit are to be use case examples we need to make them part of the tests. We would have found out that job.done was used and I'm hoping user did note make examples based on this when we make this release. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Some state visualizations have illegible parts when using a non-default matplotlib style <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: 0.14.0 - **Python version**: 3.8.2 - **Operating system**: Manjaro ### What is the current behavior? Some state visualizations are illegible when using a non-default matplotlib style. ### Steps to reproduce the problem In Jupyter: ```python import matplotlib.pyplot as plt plt.style.use("dark_background") ``` Then run the example code in [`plot_state_qsphere`'s documentation](https://qiskit.org/documentation/stubs/qiskit.visualization.plot_state_qsphere.html). ![image](https://user-images.githubusercontent.com/11418203/88247905-4c70c700-cc54-11ea-8204-4a8293a3218f.png) Some other ["Counts and State Visualizations"](https://qiskit.org/documentation/apidoc/visualization.html#counts-and-state-visualizations) functions are affected. Testing with their example code produces the following issues: * `plot_bloch_vector`: x, y, \ket{0}, \ket{1} labels invisible * `plot_bloch_multivector`: same as `plot_bloch_vector` * `plot_state_qsphere`: sphere is invisible; the word "Phase" in the center of the phase legend is invisible Note that in testing these, you will want to configure Jupyter to use a dark page background (as otherwise white text may be printed on Jupyter's default white background). JupyterLab's dark theme is one possible option. ### What is the expected behavior? Colors should dynamically change based on the current style. ### Suggested solutions Change colors dynamically based on the current style. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: S3KeySensor wildcard_match only matching key prefixes instead of full patterns ### Apache Airflow Provider(s) amazon ### Versions of Apache Airflow Providers 3.4.0 ### Apache Airflow version 2.3.2 (latest released) ### Operating System Debian GNU/Linux 10 ### Deployment Docker-Compose ### Deployment details _No response_ ### What happened For patterns like "*.zip" the S3KeySensor succeeds for all files, does not take full pattern into account i.e. the ".zip" part). Bug introduced in https://github.com/apache/airflow/pull/22737 ### What you think should happen instead Full pattern match as in version 3.3.0 (in S3KeySensor poke()): ``` ... if self.wildcard_match: return self.get_hook().check_for_wildcard_key(self.bucket_key, self.bucket_name) ... ``` alternatively the files obtained by `files = self.get_hook().get_file_metadata(prefix, bucket_name)` which only match the prefix should be further filtered. ### How to reproduce create a DAG with a key sensor task containing wildcard and suffix, e.g. the following task should succeed only if any ZIP-files are available in "my-bucket", but succeeds for all instead: `S3KeySensor(task_id="wait_for_file", bucket_name="my-bucket", bucket_key="*.zip", wildcard_match=True)` ### Anything else Not directly part of this issue but at the same time I would suggest to include additional file attributes in method _check_key, e.g. the actual key of the files. This way more filters, e.g. exclude specific keys, could be implemented by using the check_fn. ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Move tools.qi to a folder quantum_info Move tools.qi to a foder quantum_info. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: How to install transformers with pytorch only? ## ❓ Questions & Help Hi! Pytorch1.0 is installed and I'm installing the transformers with pip, everything is fine. But when I try: ``` import torch from transformers import BertModel ``` then, an error occurred: ``` Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/pc/miniconda3/lib/python3.7/site-packages/transformers/__init__.py", line 20, in <module> from .file_utils import (TRANSFORMERS_CACHE, PYTORCH_TRANSFORMERS_CACHE, PYTORCH_PRETRAINED_BERT_CACHE, File "/home/pc/miniconda3/lib/python3.7/site-packages/transformers/file_utils.py", line 30, in <module> assert int(tf.__version__[0]) >= 2 AttributeError: module 'tensorflow' has no attribute '__version__' ``` It seems like it cannot work unless both the tensorflow and pytorch have been installed, is that right? And is there a way to run transformers with pytorch only? (I don't want to install tensorflow) Thanks in advance! Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: think a bit about namespaces We don't think carefully enough about namespaces and imports, and we really should for anything that would reasonably be imported by code outside IPython (API consumers or interactive user code). Some current bad examples: ``` python from IPython.config.loader import Config # should be accessible as from IPython.config import Config ``` - display classes are split between core.display and lib.display (YouTube being the only one defined in lib). The divide made some sense from a code boundary standpoint, but APIs shouldn't expose this kind of thing. There should be a single import where all of these are defined. - The relationship of embedding and config/namespace initialization is still a mess. I cringe every time I have to tell someone to `from IPython.frontend.terminal.embed import InteractiveShellEmbed`. Four levels deep is simply too much for a public API like this. - `IPython.parallel` is meant to be the entire API namespace for the parallel stuff, but some (not all!) decorators are not pulled from parallel.util into top-level parallel. Can you help me debug this systematically and explain your reasoning?