[System] You are an expert software 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: Enhance appearance and correctness of Q-sphere visualization <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? Enhance appearance and correctness of Q-sphere visualization in the following ways: - All complementary basis states are antipodal - Phase is indicated by color of line and marker on sphere's surface - Probability is indicated by translucency of line and volume of marker on sphere's surface @nonhermitian and I have been collaborating on this enhancement, and are satisfied with the results. There is one, perhaps new, required dependency, namely [seaborn color palettes](https://seaborn.pydata.org/tutorial/color_palettes.html) for associating colors to phases in the Q-sphere plot as well as its legend. Here is an example Q-sphere plot with these enhancements: <img width="509" alt="example-qsphere-plot" src="https://user-images.githubusercontent.com/9936602/62621482-edeaf580-b8e9-11e9-8373-113f281dd2ca.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 mesonbuild/meson codebase. Here's the problem: Meson told me report an "Unhandled python exception". While defining a cross build file for `Windows`, I wrote a section for `cmake`, ```ini [cmake] CMAKE_C_COMPILER_WORKS = 1 ``` and I forgot to wrap "1" in single quotes and it threw this unhandled exception. ```bash ❯ meson setup --cross-file=cross-windows-x86_64.ini build-win Traceback (most recent call last): File "/usr/lib/python3.10/site-packages/mesonbuild/mesonmain.py", line 146, in run return options.run_func(options) File "/usr/lib/python3.10/site-packages/mesonbuild/msetup.py", line 294, in run app.generate() File "/usr/lib/python3.10/site-packages/mesonbuild/msetup.py", line 180, in generate env = environment.Environment(self.source_dir, self.build_dir, self.options) File "/usr/lib/python3.10/site-packages/mesonbuild/environment.py", line 536, in __init__ cmakevars.host = CMakeVariables(config.get('cmake', {})) File "/usr/lib/python3.10/site-packages/mesonbuild/envconfig.py", line 442, in __init__ assert isinstance(i, str) AssertionError ERROR: Unhandled python exception This is a Meson bug and should be reported! ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] apple frameworks broken with cmake When trying to build static version of conan-glib/2.58.3@bincrafters/stable on macos, the test recipe fails to link because [it uses link flags](https://travis-ci.com/bincrafters/conan-glib/jobs/253077883#L5712) `-framework Foundation -framework Foundation -framework Foundation` instead of `-framework Foundation -framework CoreServices -framework CoreFoundation` [as specified in conanfile.py](https://github.com/bincrafters/conan-glib/blob/stable/2.58.3/conanfile.py#L138) ### Environment Details (include every applicable attribute) * Operating System+version: Mac OS X 10.14.4 * Compiler+version: apple clang 10.0 * Conan version:1.20.2 * Python version: ### Logs (Executed commands with output) (Include/Attach if Applicable) [conan 1.19.1: success](https://gist.github.com/ericLemanissier/5a2fcca7faf51f7c4ef69cec0c92eabb) [conan 1.20.2: failure](https://gist.github.com/ericLemanissier/116fe4d43d642470cdd141508b4ac033) Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Can't connect to 2 HTTPS notebook servers on the same host Just discoverd that one can't connect to two notebooks server at the same time if they are (both?) over https. Login to another notebook server make the cookie invalid for the first server, not actually preventing you from executing code but preventing you from dooing stuff like saving. <del> Speeking of saving, could we reopen #883 ? The `saving failed` message in again pretty brief and not very visible, having the pop up back would be cool. </del> <del> Can I add "listening on http also and redirecting to https dashboard if notebook is password protected" in the wishlist ? </del> (not expecting answer until pycon is over of course...) Thanks. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Jobs timeouts are wrongly managed. <!--- Provide a general summary of the issue in the Title above --> Timeouts are not working as expected. ## Expected Behavior <!--- If you're describing a bug, tell us what should happen --> <!--- If you're suggesting a change/improvement, tell us how it should work --> When you set a timeout in `QuantumProgram.execute(timeout=<value>)` or `.run(timeout=<value>)` we want this value to be the actual timeout (in secs). ## Current Behavior <!--- If describing a bug, tell us what happens instead of the expected behavior --> <!--- If suggesting a change/improvement, explain the difference from current behavior --> Values passed are not being properly set, so the default 120 secs timeout is always being used. ## Steps to Reproduce (for bugs) <!--- Provide a link to a live example, or an unambiguous set of steps to --> <!--- reproduce this bug. Include code to reproduce, if relevant --> 1. Call `QuantumProgram.execute(timeout=0.01)` surrounded by `try: ... except QSIKitError:` 2. The method call should timeout and entering the `except` block, but it's not. ## Your Environment <!--- Include as many relevant details about the environment you experienced the bug in --> * Version used: 0.4.x (0.3 is not affected) * Environment name and version (e.g. Python 3.6.1): 3.5 & 3.6 * Operating System and version: Linux, Mac and Windows. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Array form of #labels produces unmarshal error Consider the following docker-compose.yml: ``` version: '2.1' services: labels_as_array: build: context: . labels: - "com.example.description=Description" - "com.example.department=Department" - "com.example.label-with-empty-value" ``` which is canonical sample from [reference v2](https://docs.docker.com/compose/compose-file/compose-file-v2/#labels) The Dockerfile for the sample is irrelevalt and is simply ```FROM busybox``` However, running `docker-compose up`, produces: ``` $ docker-compose -v docker-compose version 1.16.0-rc1, build 9bea70a $ docker-compose up Building labels_as_array ERROR: json: cannot unmarshal array into Go value of type map[string]string ``` Note that the same sample is also listed for v3 [here](https://docs.docker.com/compose/compose-file/#labels), but changing the version to `'3.3'` in the sample above does not 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 PrefectHQ/prefect codebase. Here's the problem: `client.set_secret()` method For usability and to mirror UI functionality, we should expose a set_secret method on the Client. Bonus points for implementing encryption from a key provided in `config.toml` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Major assertion bug in test_activate The activation tests were nowehere near as effective as they should have been due to a bug in the assertion code (my bad). I'm working on fixing this now, but 4.1 should not be shipped until this (and the bugs that it exposes) are fixed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 client should implement HTTP/1.1 resumable downloads if the server supports it. Conan version 1.7.3 OS: Mac OS 10.13.6 Artifactory Enterprise 6.1.0 rev 60100900 SUMMARY: Many developers work remotely and need to sync large binaries (for example test files). If the connection times out or drops and the conan client times out, when the conan install command is re-issued, the download starts again from the beginning. Instead it should resume from where it was interrupted. DESCRIPTION: Since HTTP/1.1 resumable downloads can be implemented by using ranges in the HTTP header (if the server supports it). Artifactory has been supporting this feature since version 3.7.0: https://stackoverflow.com/questions/51027395/does-jfrogs-artifactory-support-client-side-download-resume. Since Artifactory is the most used Conan repository server, the client code should be able to handle this as well. This is not a hypothetical scenario: in my company we have large binaries (multiple GB) which we need to sync from time to time and this feature is a must have if we want to adopt Conan on a large scale. STEPS TO REPRO: 1. Create a large binary Conan package and upload to a remote. 2. Remove it from the local repo. 3. Install it again using `conan install`. During download (say about half way through) remove the network cable and wait for the conan client to time out (it will print an error and return). 4. Re-connect the network and re-issue the `conan install` command. Watch the progress bar carefully. It will start downloading again from zero. I expect it should resume from where it was interrupted (approximately, depending on the chunk size). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: QuantumInstance.execute mutates circuit list when performing measurement error mitigation ### Environment - **Qiskit Terra version**: 0.19.1 - **Python version**: 3.9.7 ### What is happening? When using a `QuantumInstance` with `CompleteMeasFitter`, the circuits passed to `execute` are mutated on [this](https://github.com/Qiskit/qiskit-terra/blob/2db16853bf6d890e0ccf87509c5b88d198c81838/qiskit/utils/quantum_instance.py#L562) line ```python circuits[0:0] = cal_circuits ``` This becomes problematic when e.g. using `NeuralNetwork` from `qiskit_machine_learning`, see example below. ### How can we reproduce the issue? The following code throws an error due to the bug described above: ```python import numpy as np from qiskit import Aer, QuantumCircuit from qiskit.providers.aer import noise from qiskit.utils import QuantumInstance from qiskit.utils.mitigation import CompleteMeasFitter from qiskit.circuit.library import RealAmplitudes, ZZFeatureMap from qiskit_machine_learning.algorithms import VQC num_qubits = 3 qi = QuantumInstance(Aer.get_backend('qasm_simulator'), shots=4096, measurement_error_mitigation_cls=CompleteMeasFitter) feature_map = ZZFeatureMap(num_qubits, reps=2, entanglement='linear') ansatz = RealAmplitudes(num_qubits, reps=1, entanglement='linear') model = VQC(num_qubits, feature_map, ansatz, quantum_instance=qi) x = np.random.rand(1, num_qubits) weights = np.random.rand(2*num_qubits) model.neural_network.forward(x, weights) ``` ### What should happen? The circuit list should not be mutated. ### Any suggestions? A simple fix is to instead use ```python circuits = cal_circuits + circuits ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Firestore: Improve docs for 'Query.get' / 'Collection.get' `Query.get` (which underlies `Collection.get`) could have better documentation strings. Particularly there is no mention that iteration must be completed in the `max_rpc_timeout_millis` as specificed when creating the firestore_client. If iteration is not completed in that time, the iteration will stop at the timeout. This is in response to a customer question on StackOverflow: https://stackoverflow.com/questions/52395736/loop-over-cloud-firestore-docs-ends-unexpectedly-after-20-seconds-when-iterating Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: pulse jobs fail schema validation Every pulse job is failing schema validation. This happened in https://github.com/Qiskit/qiskit-terra/pull/4539. ```py from qiskit import * IBMQ.load_account() p = IBMQ.get_provider(project='......') backend = p.get_backend('ibmq_armonk') c = QuantumCircuit(1, 1) c.measure(0, 0) c = transpile(c, backend) s = schedule(c, backend) qobj = assemble(s, backend=backend, shots=100) job = backend.run(qobj) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Using two compose files with ports leads to "port already in use" I was following the guide in https://docs.docker.com/compose/production/ but I had duplicate port lines in both files. This lead to "address already in use" erorrs! #### docker-compose.yml: ``` yaml version: '2' services: test: image: alpine:3.3 ports: - "1234:1234" command: nc -l 1234 ``` #### docker-compose.prod.yml ``` yaml version: '2' services: test: ports: - "1234:1234" ``` #### command and output ``` % docker-compose --project=test -f docker-compose.yml -f docker-compose.prod.yml up Starting test_test_1 ERROR: for test driver failed programming external connectivity on endpoint 4f94d0857d8f_4f94d0857d8f_test_test_1 (3f6b754fd97c08bb5d2fa037b4de805001f16544246e8fe1ccb7e937836dac6a): Bind for 0.0.0.0:1234 failed: port is already allocated Attaching to % ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Strange behavior of np.ma.masked_where When the mask and array shapes do not match and the mask is always false, no exception is thrown, probably a warning could be good. Consider the example ``` x = np.arange(10) y = np.arange(5) z = np.ma.masked_where(y > 6, 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 googleapis/google-cloud-python codebase. Here's the problem: gcloud.storage.connection.Connection.get_bucket takes spurious '*args', '**kw' arguments ... but ignores them: https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/connection.py#L258 Likewise the 'create_bucket': https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/connection.py#L319 and 'delete_bucket': https://github.com/GoogleCloudPlatform/gcloud-python/blob/1f2aaf3606802f4f02eeb30e22e1082ef7f4594e/gcloud/storage/connection.py#L343 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Gracefully recover from version lock errors ## Current behavior *Please describe how the feature works today* When setting a state results in a version-lock error, the attempt is aborted and progress stops. ## Proposed behavior *Please describe your proposed change to the current behavior* Related to #2730, whenever a version-lock error is encountered, the Client should instead query for the latest state and return it so process can continue. This will enable graceful fallbacks from the latest known state. The only exception is if the latest state is one that *requires* a version lock, like RUNNING or SUBMITTED, because version-locked states indicate run-once semantics. ## Example *Please give an example of how the enhancement would be useful* Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: 'requests' version conflict docker-compose install the latest `requests` version (2.5.1) but docker-py expects `requests` version lower than 2.5.0. #### docker-compose(fig) https://github.com/docker/fig/blob/master/setup.py ``` install_requires = [ ... 'requests >= 2.2.1, < 3', 'docker-py >= 0.6.0, < 0.8', ... ] ``` #### docker-py https://github.com/docker/docker-py/blob/master/setup.py ``` install_requires = [ ... 'requests >= 2.2.1, < 2.5.0', ... ] ``` Here is the error message: ``` Traceback (most recent call last): File "/usr/local/bin/docker-compose", line 5, in <module> from pkg_resources import load_entry_point File "/usr/local/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 3018, in <module> working_set = WorkingSet._build_master() File "/usr/local/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 614, in _build_master return cls._build_from_requirements(__requires__) File "/usr/local/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 627, in _build_from_requirements dists = ws.resolve(reqs, Environment()) File "/usr/local/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 810, in resolve raise VersionConflict(dist, req).with_context(dependent_req) pkg_resources.ContextualVersionConflict: (requests 2.5.1 (/usr/local/lib/python2.7/dist-packages), Requirement.parse('requests<2.5.0,>=2.2.1'), set(['docker-py'])) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Support `logging_ratio`, `save_ratio`, and `eval_ratio` (like for `warmup_ratio`) ### Feature request I would love if `TrainingArguments` and the Huggingface `Trainer` would support `logging_ratio`, `save_ratio`, and `eval_ratio` arguments (complementing `logging_steps`, `save_steps`, and `eval_steps`). If the `*_ratio` argument is set to e.g. `0.1`, logging/saving/eval would be done every `0.1 * total_training_steps`. This is already done for `warmup_ratio` and `warmup_steps`. ### Motivation When dealing with many different tasks and datasets, it can be frustrating to have to calculate different appropriate `logging_steps` etc. for each individual dataset. This proposal would enable a unified, simple and concise way to solve this problem. ### Your contribution I realize this might not be trivial to fully integrate, but hopefully, we can take `warmup_steps` and `warmup_ratio` as a reference. Depending on how deep the required changes are, I can also submit a PR (with some pointers on what to look out for). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Docker Agent should pull images in the background ## Current behavior Right now, the docker agent pulls flow images synchronously which, depending on slow connections can take up to 5 minutes for large images. ## Proposed behavior It would be nice if the Docker agent instead pulled these images "in the background" (maybe in a background thread if possible which can be cleaned up with each heartbeat?). This would increase the speed at which flows can be submitted in parallel and prevent any edge cases with the proposed new "agent registration" hooks. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 client say "Binary for xxxx not in remote:" when it's a 500 error To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. 1.0.0-beta5 - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. https://travis-ci.org/lasote/conan-openssl/jobs/326398470 It's trying to download zlib and failing with a 500 error, but Conan instead of fail, it's considering that the package is missing. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Using == in setup.py from requirements.txt will cause conflicts with other python packages requirements.txt with == operator is meant to be used when you need completely limit the versions of package. fig uses requirements.txt input in setup.py to fill install_requires. If any package installed after fig requires other version or updates the dependency things will break. ``` fig up -d Traceback (most recent call last): File "/usr/local/bin/fig", line 5, in <module> from pkg_resources import load_entry_point File "/usr/lib/python2.7/dist-packages/pkg_resources.py", line 2749, in <module> working_set = WorkingSet._build_master() File "/usr/lib/python2.7/dist-packages/pkg_resources.py", line 446, in _build_master return cls._build_from_requirements(__requires__) File "/usr/lib/python2.7/dist-packages/pkg_resources.py", line 459, in _build_from_requirements dists = ws.resolve(reqs, Environment()) File "/usr/lib/python2.7/dist-packages/pkg_resources.py", line 628, in resolve raise DistributionNotFound(req) pkg_resources.DistributionNotFound: requests==2.2.1 ``` The latest version of requests package available is 2.3.0 (which was installed in this case) and it's of course backward compatibile. You should either stop relaying on reading requirements.txt or start using >= operator. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: compiler_args generator produced incorrect setting I'm using `compiler_args` generator in one of my projects and suddenly found this at the end of `conanbuildinfo.args`: ``` -D_GLIBCXX_USE_CXX11_ABI=1 - s t d = c + + 1 z ``` This only occured after updating to 1.2 and setting `cppstd`. Some kind of UTF-16 mismatch? Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: add error report upload capability for url errors As part of the repo.continuum.io to repo.anaconda.com transition, add HTTP errors to the auto-uploaded error reports so that we have a heads-up on any problems. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: When extending, `build` should replace `image` and vice versa Currently, if a service with `build` is extended by a service that sets `image`, the resulting configuration will have both options, resulting in an 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 googleapis/google-cloud-python codebase. Here's the problem: Pub/Sub: Flow Control does not work as expected. The flow control settings for the Cloud Pub/Sub subscriber should bound the number of unacknowledged messages outstanding to the callback at a time. However, it seems to have no effect on the client, where the number of outstanding messages always ends up being 10. OS type and version: Mac OS X 10.14.3, Debian Linux Python version: Python 2.7.10 on Mac, Python 3.6.5 on Linux google-cloud-pubsub version: 0.40.0 #### Steps to reproduce 1. Create a Cloud Pub/Sub topic and subscription 2. Publish many messages to the topic 3. Update the project name and subscription name in the code below. 4. Run the code. Expected behavior: Since the flow control settings have `max_messages` set to 2, only two "Received Message" lines should print at a time, with two "Acking Message" lines printing out 20 seconds later. Instead, 10 messages come to the callback at a time. Changing the value of `max_messages` has no impact on the number of messages sent to the callback. #### Code example ```py import time from google.cloud import pubsub_v1 project_name=<insert project name here> subscription_name=<insert subscription name here> subscriber = pubsub_v1.SubscriberClient() subscription_path = subscriber.subscription_path(project_name, subscription_name) def callback(message): print ("Received Message") time.sleep(20) print ("Acking Message") message.ack() flow_control = pubsub_v1.types.FlowControl(max_messages=2) subscriber.subscribe( subscription_path, callback=callback, flow_control=flow_control) print('Subscriber started for {}'.format(subscription_path)) while True: time.sleep(60) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Message publish_time return type unexpected I am working on a PubSub project and was a bit confused about the Message `publish_time`. I expected to get `datetime` per [the docstring](https://github.com/GoogleCloudPlatform/google-cloud-python/blob/1acc8c22664229b6681ff91654932998e611e1c2/pubsub/google/cloud/pubsub_v1/subscriber/message.py#L152) for the method. Instead I got a `Timestamp` that apparently comes from protobuf types. I found there is even a [unit test](https://github.com/GoogleCloudPlatform/google-cloud-python/blob/1acc8c22664229b6681ff91654932998e611e1c2/pubsub/tests/unit/pubsub_v1/subscriber/test_message.py#L49) that verifies that `publish_time` returns a `Timestamp`. Can we return `datetime`? Or should the docs just be updated to explain what is actually being returned? I'd prefer the former but wanted to ask before submitting a PR, given the inconsistency. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: get_*_nodes methods of DAGCircuit return inconsistent types <!-- ⚠ 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. --> `get_op_nodes` returns a list of node_id integers or a list of tuple of (node_id, data). `get_gate_nodes` returns the same types as `get_op_nodes` `get_named_nodes` returns a list of node_id integers `get_2q_nodes` returns a list of node dictionaries `get_3q_or_more_nodes` returns a list of tuples of (node_id, node dictionary). ### What is the expected enhancement? For consistency perhaps these should all return the same data types. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: QuantumCircuit.decompose() should take which gate(s) to decompose <!-- ⚠ 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? If find myself looking at circuits that look like this: <img width="928" alt="Screen Shot 2019-08-05 at 6 28 05 AM" src="https://user-images.githubusercontent.com/1249193/62458217-54d1a880-b74a-11e9-89ef-5bf7b2dcca8d.png"> and I am always interested in seeing what the circuits look like in terms of cx and other gates. However, this requires doing: ```python from qiskit.transpiler import PassManager from qiskit.transpiler.passes import Unroller pass_ = Unroller(['u1', 'u2', 'u3', 'cx']) pm = PassManager(pass_) new_circ = pm.run(circ) ``` It would be nice if there was a `decompose_unitaries(basis)` method that did this for you. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Wrong option value for local flow install + build Conan 1.2 ```python options = { "foo": [True, False], } default_options = ( "foo=True", ) def configure(self): if self.settings.os == "Windows" and "foo" in self.options: self.output.info("REMOVING foo") del self.options.foo def build(self): self.output.info("OPTION: %s" % self.options.foo) ``` Local flow: ```bash conan install .. conan build .. ``` Then in prints ``OPTION: True``. This needs to be fixed. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Mismatch of displayed 'epoch' ## 🐛 Bug The display of epoch's number mismatches between the progress bar and the checkpoint indicator. I wonder this mismatch could confuse users. - progress bar: The number of epochs starts from 1. - checkpoint indicator: The number of epochs starts from 0. - metrics.csv also starts from 0. I think that to change checkpoint and metrics.csv causes a serious problem. So progress bar should be changed in my opinion. What do you think about it? ``` Epoch 32: 100%|██████████| 331/331 [00:05<00:00, 88.73batch/s, batch_idx=17, loss=1.148, train_batch_loss=1.02, v_num=0, val_loss=1.05] AINFO:root: Epoch 00031: val_loss reached 1.04545 (best 1.04545), saving model to /dummy/version_0/checkpoints/_ckpt_epoch_31.ckpt as top 1 {'loss': 1.022357702255249, 'train_batch_loss': 1.022357702255249, 'val_loss': 1.0454469919204712} Epoch 33: 5%|▌ | 18/331 [00:00<00:05, 61.06batch/s, batch_idx=17, loss=1.073, train_batch_loss=1.31, v_num=0, val_loss=1.05] ``` ### Environment - PyTorch Version : 1.3.1 - OS : macOS 10.14.6 - How you installed PyTorch : `pip install git+https://github.com/williamFalcon/pytorch-lightning.git@master --upgrade` - Python version : 3.7.3 - use CPU Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: PulseBackendConfiguration cannot return control channels <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### What is the current behavior? There is no link between qubit index and channel index for ibmq backend, but `PulseBackendConfiguration` forces to put identical index to them and it doesn't return control channel with index larger than maximum qubit number. ### Steps to reproduce the problem ```python back_config.control(23) ``` raises `BackendConfigurationError` when 20 qubit backends is loaded. ### What is the expected behavior? It should not raise an error. ### Suggested solutions Replace argument name by `channel` and remove 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 mesonbuild/meson codebase. Here's the problem: 0.54 test suite does not pass 0.54 introduces new test suite failures. After fixing #6868, the `test_templates` still does not pass because of cuda: ``` Using "tmpqayyrpfm" (name of current directory) as project name. Using "tmpqayyrpfm" (project name) as name of executable to build. Sample project created. To build it run the following commands: meson builddir ninja -C builddir The Meson build system Version: 0.54.0 Source dir: /tmp/tmpqayyrpfm Build dir: /tmp/tmpqayyrpfm/builddir Build type: native build Project name: tmpqayyrpfm Project version: 0.1 C++ compiler for the host machine: c++ (gcc 9.3.0 "c++ (Arch Linux 9.3.0-1) 9.3.0") C++ linker for the host machine: c++ ld.bfd 2.34 Host machine cpu family: x86_64 Host machine cpu: x86_64 meson.build:6:0: ERROR: No host machine compiler for "tmpqayyrpfm.cu" ``` The latter cuda test cases succeed, though. ``` Succeeded test: test cases/cuda/1 simple Succeeded test: test cases/cuda/2 split Succeeded test: test cases/cuda/3 cudamodule Succeeded test: test cases/cuda/4 shared Succeeded test: test cases/cuda/5 threads Succeeded test: test cases/cuda/6 std Succeeded test: test cases/cuda/7 static vs runtime Succeeded test: test cases/cuda/8 release Succeeded test: test cases/cuda/9 optimize for space Succeeded test: test cases/cuda/10 cuda dependency Succeeded test: test cases/cuda/11 cuda dependency (nvcc) Succeeded test: test cases/cuda/12 cuda dependency (mixed) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Recursive debugger doesn't restore trace function properly ``` Python 3.7.6 (default, Jan 8 2020, 20:23:39) [MSC v.1916 64 bit (AMD64)] Type 'copyright', 'credits' or 'license' for more information IPython 7.18.1 -- An enhanced Interactive Python. Type '?' for help. In [1]: 1/0 --------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) <ipython-input-1-9e1622b385b6> in <module> ----> 1 1/0 ZeroDivisionError: division by zero In [2]: %debug > <ipython-input-1-9e1622b385b6>(1)<module>() ----> 1 1/0 ipdb> debug print() ENTERING RECURSIVE DEBUGGER > <string>(1)<module>() (ipdb>) q LEAVING RECURSIVE DEBUGGER --Call-- > c:\users\quentin.peter\appdata\local\continuum\anaconda3\lib\cmd.py(157)postcmd() 155 return line 156 --> 157 def postcmd(self, stop, line): 158 """Hook method executed just after a command dispatch is finished.""" 159 return stop ipdb> ``` It should go back at ``` > <ipython-input-1-9e1622b385b6>(1)<module>() ----> 1 1/0 ``` Not `postcmd` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Switch back to upstream dockerpty https://github.com/d11wtq/dockerpty/pull/19 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Unable to show logs from just a single service Running the latest build from master branch: When I try to `docker-compose logs MYSERVICE` I get the entire stack of services log output. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: latex drawer support for cregbundle In the spirit of https://github.com/Qiskit/qiskit-terra/issues/2797 it would be great if latex drawer add support for `cregbundle`. Take the following example: ```python from qiskit import * qr = QuantumRegister(3, 'q') cr = ClassicalRegister(3, 'c') circuit = QuantumCircuit(qr, cr) circuit.measure(qr, cr) circuit.draw('latex') ```  I suggest something like this: ``` circuit.draw('latex', cregbundle=True) ```  The latex code for that figure is: ```latex \begin{equation*} \Qcircuit @C=1.0em @R=1.0em @!R { \lstick{ {q}_{0} : } & \qw & \meter & \qw & \qw & \qw & \qw\\ \lstick{ {q}_{1} : } & \qw & \qw & \meter & \qw & \qw & \qw\\ \lstick{ {q}_{2} : } & \qw & \qw & \qw & \meter & \qw & \qw\\ \lstick{c:} & {/_{_3}} \cw & \dstick{0} \cw \cwx[-3] & \dstick{1} \cw \cwx[-2] & \dstick{2} \cw \cwx[-1] & \cw & \cw\\ } \end{equation*} ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Edit user config file programatically It would be great to be able to modify the user config file from Qiskit. Something like `user_config['default']['option'] = True`. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: DO NOT MERGE: logging synth (enums order only) This PR was generated using Autosynth. :rainbow: Here's the log from Synthtool: ``` synthtool > Cloning googleapis. synthtool > Running generator for google/logging/artman_logging.yaml. synthtool > Ensuring dependencies. synthtool > Pulling artman image. synthtool > Generated code into /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/logging-v2. synthtool > Replaced '(^.*$\\n)*' in google/cloud/logging_v2/proto/logging_pb2.py. synthtool > Replaced '(^.*$\\n)*' in google/cloud/logging_v2/proto/logging_metrics_pb2.py. synthtool > Replaced '(^.*$\\n)*' in google/cloud/logging_v2/proto/log_entry_pb2.py. synthtool > Replaced '(^.*$\\n)*' in google/cloud/logging_v2/proto/logging_config_pb2.py. synthtool > Cleaned up 0 temporary directories. ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Qt6 on Windows -> QtEntryPoint **Describe the bug** A very simple Qt 6 executable in the windows subsystem requires a WinMain function. Previously, this was provided by the static qtmain.lib, but, it seems, in Qt 6 it is provided by the new QtEntryPoint library. This is not heeded by the "main" keyword of the qt dependency(). **To Reproduce** Trivial main.cpp ``` #include <QApplication> #include <QPushButton> auto main(int argc, char * argv[]) -> int { auto Application = QApplication{argc, argv}; auto Button = QPushButton{"Exit"}; QObject::connect(&Button, &QAbstractButton::clicked, []() { QApplication::quit(); }); Button.show(); return Application.exec(); } ``` Trivial meson.build: ``` project('bug', 'cpp', default_options: ['cpp_std=c++17']) qt_dep = dependency('qt6', modules: ['Core', 'Widgets'], main: true) app = executable('app', 'main.cpp', dependencies: [qt_dep], win_subsystem: 'windows') ``` **Expected behavior** This should compile successfully. There are two options to solve this: 1. rely on the programmer to supply the 'EntryPoint' module in the dependency, and remove the 'main' argument for qt6 I.e. this works: `qt_dep = dependency('qt6', modules: ['Core', 'EntryPoint', 'Widgets'])` 2. leave the interface as is and improve the Qt6 dependency handling to map from `'main': true` to the 'EntryPoint' module It should be noted, that QtEntryPoint is not available on at least Ubuntu 22.04. So, the second options seems to be more portable, as it doesn't need OS-specific handling in the meson.build file. **system parameters** * no cross-compile * OS: Windows, MSVC and Qt 6.3.2, run inside MSYS2 * meson --version: 0.63.2 * ninja --version: 1.11.1 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 apache/airflow codebase. Here's the problem: Make sure that local installation works with installing airflow + all providers. We have to double-check that providers work and can be tested locally when installing airflow in a local virtualenv. After we've changed to separate providers and core package, pip install . will not install those packages, but with local -e it will likely work as providers packages are in the same folder. We still need to check how local virtualenv work when we install without -e though. Most likely solution will be dynamic selection of packages in setup.py based on the fact whether you are installing airflow from packages or sources. This is connected with #11464 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Cannot use `execute` with a `PassManager` <!-- ⚠ 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**: 0.15.1 - **Python version**: 3.8.5 - **Operating system**: Ubuntu 18.04 ### What is the current behavior? Providing any `PassManager` to the `execute` method will throw an exception as it fails the `_check_conflicting_arguments` call - this method fails if a backend (a _required_ argument) is provided. ### Steps to reproduce the problem ``` from qiskit.transpiler import PassManager from qiskit import QuantumCircuit, execute from qiskit.providers.aer import Aer qc = QuantumCircuit(2) qc.h(0) qc.measure_all() b = Aer.get_backend('qasm_simulator') job = execute(qc, b, pass_manager = PassManager()) ``` ``` Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/will/miniconda3/envs/dev/lib/python3.8/site-packages/qiskit/execute.py", line 243, in execute _check_conflicting_argument(optimization_level=optimization_level, File "/home/will/miniconda3/envs/dev/lib/python3.8/site-packages/qiskit/execute.py", line 302, in _check_conflicting_argument raise QiskitError("The parameters pass_manager conflicts with the following " qiskit.exceptions.QiskitError: 'The parameters pass_manager conflicts with the following parameter(s): backend.' ``` ### What is the expected behavior? This should not throw an exception since there are no conflicts here. ### Suggested solutions Remove `backend` from the list of arguments checked for conflicts. Or, alternatively, deprecate the use of the `pass_manager` argument (it is currently unusable anyway) to encourage users to use `PassManager.run()` and `assemble` instead. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Incorrect Properties in FakeBackends <!-- ⚠ 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**: 0.11.1 - **Python version**: 3.6 - **Operating system**: Windows 10 ### What is the current behavior? All u2 and u3 gates in FakeYorktown have an error rate of 1.0 or 2.0. This leads to a complete depolarizing channel when used in basic_device_noise_model. FakeTokyo has error rates for some cx gate, that are not defined in the coupling map (and vice versa). FakeRueschlikon has no property file. ### Steps to reproduce the problem Simulate with basic_device_noise_model() or have a look at the .json files in https://github.com/Qiskit/qiskit-terra/blob/master/qiskit/test/mock/backends ### What is the expected behavior? FakeYorktown should not define a complete depolarization after each single-qubit gate. FakeTokyo should have missing cx gates and cx error rates added to the coupling map/property file and/or unused cx gates should be consistently removed from the .json file. FakeRueschlikon should have a property file. ### Suggested solutions Regenerate the .json files. For FakeYorktown, I assume either an unit error (0.0002 becoming 2.0 or similar) or a snapshot of an incorrect calibration. FakeTokyo might have been build from different snapshots for the coupling map and the gate errors, thereby setting error rates for cx gates that are not defined in the coupling map and setting cx gates in the coupling map that have no error rate set. As a side note, historical calibration data for FakeBackends would be nice. :-) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: namespace changes broke `foo.*bar*?` syntax On master we now have: ``` In [2]: sys.*pt*? --------------------------------------------------------------------------- ValueError Traceback (most recent call last) /home/fperez/usr/lib/python2.7/site-packages/IPython/core/oinspect.pyc in psearch(self, pattern, ns_table, ns_search, ignore_case, show_all) 760 if name not in ns_table: 761 raise ValueError('invalid namespace <%s>. Valid names: %s' % --> 762 (name,ns_table.keys())) 763 764 #print 'type_pattern:',type_pattern # dbg ValueError: invalid namespace <user>. Valid names: ['alias', 'user_global', 'builtin', 'user_local'] ``` We should add a test for this form of call before fixing it, so that we're sure the bug doesn't come back. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Super slow ByT5 Tokenizer Hi, The ByT5 Tokenizer seems to be super slow compared to others (T5). See colab link below for example code. T5-small tokenizer: ![grafik](https://user-images.githubusercontent.com/229382/126946873-9e2cc68c-409f-4428-ae90-b08469967161.png) By-T5-small tokenizer: ![grafik](https://user-images.githubusercontent.com/229382/126947200-44aefc4e-07f5-4051-86b4-cc89b785e5e2.png) See colab code here: https://colab.research.google.com/drive/1nVxCerQon3hVA1RylZz7Be4N8LfjPgth?usp=sharing Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 `qiskit.test.mock` to `qiskit.providers.fake_provider` and deprecate In #7437 we began the process of moving the features in `qiskit.test.mock` to `qiskit.providers.fake_provider`, by making them accessible at the new name. We can't issue deprecation warnings in Terra 0.20, but between 0.20 and 0.21 we should ensure that all our internal uses point to the new names, and then implement the deprecation warning. This is on hold until after Terra 0.20 has released. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add ECR/iSwap to list of gates handled by `Clifford.from_circuit` ### What should we add? `Clifford.from_circuit` has a list of 1- and 2-qubit Cliffords that it knows how to handle via updating the tableau directly. https://github.com/Qiskit/qiskit-terra/blob/1fb00e628a73f960980648cf9c4db0dfecc936ca/qiskit/quantum_info/operators/symplectic/clifford_circuits.py#L331 This list currently doesn't include some Clifford gates from the standard library like `ECR` and `iSwap`. For `iSwap`, this is not a problem because it's `.definition` is all Clifford, but `ECR` is defined in terms of `RZX` and so can't be converted directly. This partially covered by #9475 but requires falling back to the matrix form to reconstruct the tableau. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Environment values passed to Repo.clone_from() are not kept in the resulting repo r = Repo.clone_from("git@github.com:bpiotr/whatever_repo.git", "/tmp/repo", env={"key": "value"}) r.git.environment() {} This is not what I expected when I called `Repo.clone_from` and documentation does not elaborate on the transient nature of the `env` here so IMHO this is a bug. BTW it costed me quite a while to figure out that `clone_from` actually uses `env` but any subsequent operations on the result needs it to have it set again. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Add a not filter for schedules There is a filter for schedules (https://github.com/Qiskit/qiskit-terra/blob/a3ae434326aefbb19a7861518b4a4f1e05528fb1/qiskit/pulse/schedule.py#L232) It would be convenient if that returned the remainder of the schedule that doesn't satisfy the filter. This makes it easier to, e.g., shift a part of a schedule. `filter(schedule, blah) << 100 + filter(schedule, not blah)` <!-- ⚠ 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? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Proposal PIN: Storage & Execution # Status Proposed # Context Our current environments setup contains multiple classes, some of which can be deployed, others which can't. Moreover, the environment classes tightly couple _storage_ of a flow with _execution platform_ details. This leads to an unsatisfactory interface, and a spreading out of documentation. Additionally, it makes it hard to delineate which environments are appropriate for which use cases and also requires a large number of highly specific classes. # Decision Separate out the storage component of an environment into its own module and attach it to the flow as an argument. # Consequences All current environments will need to be reworked or removed and PIN-3 will be partially voided. @cicdw Let's keep this pin proposal here and update as needed Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: BasicAer qasm_simulator missing 'unitary' implementation <!-- ⚠ 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 - **Python version**: 3.6 - **Operating system**: MacOS 10.14 ### What is the current behavior? The BasicAer qasm simulator has 'unitary' in its bases gates, but does not have an implementation for arbitrary unitaries leading to an exception for any circuit that contains them. ### Steps to reproduce the problem ```python from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister from qiskit import execute, BasicAer from qiskit.quantum_info.operators import Operator # Add to a circuit qr = QuantumRegister(1) cr = ClassicalRegister(1) circ = QuantumCircuit(qr, cr) circ.append(Operator([[0, 1], [1, 0]]), [qr[0]]) circ.measure(qr, cr) backend = BasicAer.get_backend('qasm_simulator') job = execute(circ, backend) job.result().get_counts(0) ``` Raises `BasicAerError: 'qasm_simulator encountered unrecognized operation "unitary"'` ### What is the expected behavior? Circuit executes ### Suggested solutions I will put in a PR to add an implementation of arbitrary unitaries to the BasicAer simulators. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Issue in develop: "conan upload zlib/1.2.8#package_id" doesn't work anymore Caused by https://github.com/conan-io/conan/pull/5817 Add test and fix. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Print URI to HTML coverage report from coverage-html target Once the `coverage-html` target has finished running successfully, it would be useful if it printed a `file:///` URI pointing to the index of the generated coverage report, so that it’s easy to open the report from a terminal window in a browser. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: "service" key in extending should be optional This is unnecessarily verbose: ``` base: ... web: extends: service: base ... ``` You should be able to just do this: ``` base: ... web: extends: base ... ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: GCSResultHandler deserialization attempts to load Google Client It turns out that _deserializing_ a `GCSResultHandler` (in the sense of marshmallow) attempts to initialize a google client. This results in errors when the deserialization occurs on the backend, causing certain task run states to error out when set. To see this in action, simply open an IPython session with `PREFECT__CLOUD__USE_LOCAL_SECRETS=false ipython` and then: ```python from prefect.serialization.result_handlers import GCSResultHandlerSchema schema = GCSResultHandlerSchema() schema.load({'bucket': 'nasa', '__version__': '0.5.4+113.g9310fc44', 'type': 'GCSResultHandler'}) # ClientError: [...] ``` We should ensure that deserializing these objects doesn't attempt to load clients. In this case, it's as simple as removing the `initialize_client` call from `__init__`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 clean -pt with empty package cache and non-root user I have a root miniconda install at /opt/anaconda. I ran ``` conda clean -pt ``` successfully as root then immediately tried running the same command as a lesser user. I got this error even though the package cache was empty: ``` Cache location: There are no tarballs to remove An unexpected error has occurred, please consider sending the following traceback to the conda GitHub issue tracker at: https://github.com/conda/conda/issues Include the output of the command 'conda info' in your report. Traceback (most recent call last): File "/opt/anaconda/envs/anaconda.org/bin/conda", line 5, in <module> sys.exit(main()) File "/opt/anaconda/lib/python2.7/site-packages/conda/cli/main.py", line 195, in main args_func(args, p) File "/opt/anaconda/lib/python2.7/site-packages/conda/cli/main.py", line 202, in args_func args.func(args, p) File "/opt/anaconda/lib/python2.7/site-packages/conda/cli/main_clean.py", line 340, in execute pkgs_dirs, warnings, totalsize, pkgsizes = find_pkgs() File "/opt/anaconda/lib/python2.7/site-packages/conda/cli/main_clean.py", line 166, in find_pkgs pkgs = [i for i in listdir(pkgs_dir) if isdir(join(pkgs_dir, i)) and OSError: [Errno 2] No such file or directory: '/home/user5/envs/.pkgs' ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Running a service before `up` with networking enabled fails Steps to reproduce (against docker 1.9.0-rc3): 1. Create a new project, or set a new project name 2. Run any service with the new project name `docker-compose --x-networking run service bash` You'll get an error: `Cannot start container b631dcb1feea803af2d06471789fe3646a3b6f59af04bc771f66fd70137a024b: network networking not found` We need to create the network as part of `run` as well as `up` I think. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Installation messages are inconsistent if DESTDIR is present For install subdirectories it does not include DESTDIR in log message, but for files it does. This was tested on released 0.44 version and master. I believe correct behavior would be to show actual destination path, including DESTDIR. ``` $ env DESTDIR=/tmp/root ninja -C bd install -j1 ... [4/5] Installing files. Installing subdir /home/XXX/dev/bacs-project/bunsan/test/include/bunsan to /usr/local/include Installing subdir /home/XXX/dev/bacs-project/bunsan/common/include/bunsan to /usr/local/include Installing subdir /home/XXX/dev/bacs-project/bunsan/crypto/include/bunsan to /usr/local/include Installing bunsan/test/libbunsan_test.so.0.1.0 to /tmp/root/usr/local/lib/libbunsan_test.so.0.1.0 Installing bunsan/common/libbunsan_common.so.0.1.0 to /tmp/root/usr/local/lib/libbunsan_common.so.0.1.0 Installing bunsan/crypto/libbunsan_crypto.so.0.1.0 to /tmp/root/usr/local/lib/libbunsan_crypto.so.0.1.0 ``` Sidenote: I can fix this since I am already working on #2869, pending #2994. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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_RUN_TEST: getenv available in recipes for a checker to run unit tests Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: qiskit.converters needs doc examples <!-- ⚠ 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? Examples are needed for `circuit_to_dag`, `dag_to_circuit`, `circuit_to_instruction`, and `ast_to_dag` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: DagRuns are created beyond dag end_date To replicate, setup a simple dag as follows ``` python from datetime import datetime, timedelta from airflow import DAG from airflow.operators import DummyOperator delta = timedelta(hours=1) runs = 3 start_date = datetime(2015, 1, 1) end_date = start_date + (runs - 1) * delta dag = DAG( 'test-dag', start_date=start_date, end_date=end_date, schedule_interval=delta, ) task = DummyOperator( task_id='test-operator', owner='someone', dag=dag, ) ``` Refreshing the DagRuns view periodically reveals an endlessly increasing list of DagRuns even though and `end_date` was specified. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: U3 gates expand too wide in MPL drawer <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior? <img width="435" alt="Screen Shot 2019-11-18 at 10 02 35 AM" src="https://user-images.githubusercontent.com/1249193/69063521-a5fc6400-09ea-11ea-84f6-fb14c023b9fe.png"> ### 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 Qiskit/qiskit codebase. Here's the problem: FunctionalPulse should wrap underlying callable <!-- ⚠ 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? FunctionalPulse should wrap its underlying callable with `functools.wraps`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: LoadJobConfig.schema setter should accept None **Is your feature request related to a problem? Please describe.** There is no (public) way to unset a schema after you've set one. Even though the client doesn't distinguish between unset schema and an empty schema, the backend API does. **Describe the solution you'd like** When the set schema is `None`, remove the whole schema property from the underlying `_properties`. **Describe alternatives you've considered** We could always send `None` if a schema is empty, but this wouldn't be right, either. **Additional context** Needed for https://github.com/googleapis/google-cloud-python/pull/9064 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Handle Aer deprecation on AerPauliExpectation <!-- ⚠ 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? AerPauliExpectation shows the following deprecate msg: ``` PendingDeprecationWarning: The `SnapshotExpectationValue` instruction will be deprecated in the future. It has been superseded by the `SaveExpectationValue` and `SaveExpectationValueVariance` instructions. ``` ### Steps to reproduce the problem ### What is the expected behavior? SaveExpectationValue / SaveExpectationValueVariance should be used instead. ### 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: --yes not functioning for "Clean" Hi, either `conda clean -y --all` or `conda clean --yes --all` still prompt for a confirmation. conda 4.2.13 macOS 10.12.4 Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Pulse channel independent scaling <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected behavior? Scaling parameter of pulse visualizer should be able to be independently applied to each pulse channel. Usually pi pulses or pi/2 pulses have small amplitudes, while pulses on control channels, e.g. CR pulses, have larger amplitudes. Independent scaling is convenient for visualizing those pulses simultaneously. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Syntax issues are confusingly attributed to the start of the clause rather than the offending atom's position **Describe the bug** When a syntax issue occurs, the parser is currently billing the start of a semantic structure, instead of the offending atom's position. This causes, for instance, mismatched `elif`s to be billed to the start of the `if` clause instead of the position of the actual broken `elif`. **To Reproduce** meson.build: ```meson project('test', 'c') CMDLINE_SELECT = [ 'help', 'apple', ] IGNORE_MESON_BUILTINS = [ 'help', ] MESON_OPTIONS = [ ] foreach flag: CMDLINE_SELECT if IGNORE_MESON_BUILTINS.contains(flag) continue elif MESON_OPTIONS.contains(flag) value = get_option(flag) if value != 'unset' features.set(flag, value) endif elif error('Unhandled option @0@'.format(flag)) endif endforeach ``` **Expected behavior** Compilation will fail, but it should bill line 24 and not 17: ``` meson.build:17:26: ERROR: Unknown statement. ``` **system parameters** * Is this a [cross build](https://mesonbuild.com/Cross-compilation.html) or just a plain native build (for the same computer)? **Native** * what operating system (e.g. MacOS Catalina, Windows 10, CentOS 8.0, Ubuntu 18.04, etc.) **Windows 10 21H2** * what Python version are you using e.g. 3.8.0 **3.10.7** * what `meson --version` **1.0.1** * what `ninja --version` if it's a Ninja build **1.10.2.git.kitware.jobserver-1** Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Flow default result handler persists on incompatible storage option change ## Description If a Flow is initialized then has its storage option changed the default result handler still persists: ```python @task def task1(): return "bad" with Flow("my-flow") as flow: task1() flow.storage = Docker(...) flow.register(...) ``` The default result handler of the flow will remain as the `LocalResultHandler` because the default is only populated at initialization https://github.com/PrefectHQ/prefect/blob/master/src/prefect/core/flow.py#L165 I'm not 100% sure this is classified as a bug but it is definitely undesirable behavior. There is an incompatibility of the default result handler and this storage option. I think a simple check that would either change or raise a warning will suffice. ## Expected Behavior I expect the default result handler to be removed since the Local Result Handler will not work with this storage type. ## Reproduction Register the flow above from the Description section. ## Environment `0.9.0` 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 conan-io/conan codebase. Here's the problem: [bug] conan_build_info `--skip-env` flag behaves counterintuitively The [`--skip-env` flag is True by default](https://github.com/conan-io/conan/blob/d42ec055d459489c184b160cafbd3f200ceb6d41/conans/build_info/command.py#L83). This means the `--skip-env` arg must be added to **not** skip the capturing of env vars. I think either the default value or the name of the arg should be changed to avoid confusion. ### Environment Details (include every applicable attribute) * Operating System+version: Windows 10 * Compiler+version: n/a * Conan version: 1.20.4 * Python version: 3.7.3 ### Steps to reproduce (Include if Applicable) run `conan_build_info --v2 create buildinfo.json --lockfile=conan.lock` and env info is **not** captured. run `conan_build_info --v2 create buildinfo.json --skip-env --lockfile=conan.lock` and env info is captured Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Implement PyTorch and/or TensorFlow sequence classification architectures for causal language models # 🚀 Feature request The architecture `GPT2ForSequenceClassification` was added in #7501 in PyTorch. It would be great to have it in TensorFlow (cf. issues #7622), but it would also be great to have it for other causal models: ~OpenAI GPT~, ~CTRL~ (PR opened @elk-cloner), ~TransfoXL~ (PR opened @spatil6) Below is a list of items to follow to make sure the integration of such an architecture is complete: - Implement `XXXForSequenceClassification` in `modeling_xxx.py` or `TFXXXForSequenceClassification` in `modeling_tf_xxx.py - Test that architecture in `tests/test_modeling_xxx.py` or `tests/test_modeling_tf_xxx.py` - Add that architecture to `__init__.py` and ` docs/source/model_doc/xxx.rst`. Taking a look at the code changes in #7501 would be a good start. A very good first issue to get acquainted with the library and its architectures! Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Import Qiskit gives NumPy error due to misaligned array <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master (NumPy 1.15.1) - **Python version**: - **Operating system**: Pi ### What is the current behavior? Trying `import qiskit` on a fresh install gives the following error: ```python ~/berryconda3/lib/python3.6/site-packages/qiskit_terra-0.9.0-py3.6-linux-armv7l.egg/qiskit/quantum_info/synthesis/two_qubit_decompose.py in decompose_two_qubit_product_gate(special_unitary_matrix) 105 # extract the left component 106 temp = np.kron(np.eye(2), R.T.conj()) --> 107 special_unitary_matrix.dot(temp, temp) 108 L = temp[::2, ::2] 109 detL = L[0, 0]*L[1, 1] - L[0, 1]*L[1, 0] ValueError: output array is not acceptable (must have the right datatype, number of dimensions, and be a C-Array) ``` ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions It appears that the `temp` matrix to be stored is not c-aligned. This is not surprising given that the decomposition routines use eigensolvers that are fortran based and return f-aligned NumPy arrays. The suggestion is to just do something like `temp = special_unitary_matrix.dot(temp)` instead. The matrix is 4x4 so not so worried about a copy here. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Extra U3 gates inserted into circuits by ConsolidateBlocks pass <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior? These two decompositions should be the same: ```python import numpy as np from qiskit import * q = QuantumRegister(2) c = ClassicalRegister(2) qc = QuantumCircuit(q, c) qc.cz(q[0], q[1]) qc.barrier(q) qc.cu1(np.pi, q[0], q[1]) cz_circ = transpile(qc, None, basis_gates=['u1', 'u2', 'u3', 'id', 'cx']) cz_circ.draw() ``` <img width="675" alt="Screen Shot 2019-05-14 at 3 49 57 AM" src="https://user-images.githubusercontent.com/1249193/57680341-64ce6600-75fb-11e9-9f44-beb6159e6490.png"> ### 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: Having trouble downloading from osx-64 on Travis CI _From @jakirkham on June 14, 2016 20:46_ Seems we are now having issues downloading on packages on Travis CI. See the snippet below and this [log](https://travis-ci.org/conda-forge/apache-libcloud-feedstock/jobs/137608834#L369-L376). Note none of the packages below are on conda-forge (there is `python`, but not 2.7). So, this seems to be a `defaults` channel issue. Log snippet below. ``` BUILD START: apache-libcloud-0.18.0-py27_1 Using Anaconda Cloud api site https://api.anaconda.org Fetching package metadata ....... WARNING: Could not find any versions of conda-build in the channels Solving package specifications .... Error: Packages missing in current osx-64 channels: - python 2.7* - setuptools ``` Also, see these PRs for examples - https://github.com/conda-forge/apache-libcloud-feedstock/pull/3 - https://github.com/conda-forge/colorlog-feedstock/pull/4 - https://github.com/conda-forge/python-feedstock/pull/20 cc @msarahan @danielfrg @frol @jjhelmus @vamega _Copied from original issue: Anaconda-Platform/support#45_ Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Using hasattr for trait_names instead of just looking for it directly/using __dir__? This issue just came up with IPython 2.0-dev (appears to not be an issue for IPython 1.0) where our DictWrapper object raised KeyError on bad `__getattr__` (which screws up `hasattr`). It's a badly behaved object, but it's been around for a while. We're going to fix this in 0.13, which we're releasing soonish, but this probably affects a number of versions. https://github.com/pydata/pandas/issues/5182 I'm not clear why defining a `__dir__` method isn't enough, but a simple fix would be to go the EAFP route and just try to do it in try/except rather than doing the `hasattr` check. I'm sure there are other places where this could be an issue cc @d10genes who pointed out the problematic interaction with IPython 2.0-dev. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: utility to build an asset sensor from a software-defined asset * By default, it would trigger whenever the upstream assets are updated. Will need to figure out how this works when there are multiple upstream assets - AND or OR? * If the assets are partitioned, it would trigger the corresponding partition in the downstream assets when the corresponding partitions in the upstream assets are updated. Relevant requests: - https://dagster.slack.com/archives/C01U5LFUZJS/p1659067359346519 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: mesontest isn't flushing stdout? I'm using `ninja test` with a gitlab runner for CI. When the runner builds the code, I see the output get updated live. When the tests run, the output doesn't get flushed to the screen until after they are done - about 30 min worth of tests. My guess is that `mesontest` isn't flushing it's stdout and it's being buffered by the system. When the current test finishes, I'll rerun with `mesontest.py` changed to `#!/usr/bin/env python3 -u` which should force unbuffered stdout. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Bug in SVN is_pristine Conan 1.12.3 The user warning regarding `is_pristine` not being implemented on svn versions prior to 1.9 is a little confused! See below when I use it with svn 1.7.14: ``` UserWarning: SVN::is_pristine for SVN v1.7.14 (less than 1.9) is not implemented, it is returning not-pristine always because it cannot compare with checked out version. " checked out version.".format(self.version, SVN.API_CHANGE_VERSION)) ``` Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Add gcc 9.2 to default list of compilers gcc 9.2 is released, so we can add it to the default list of compilers that conan recognizes. Checked vs. conan v1.18.2 on macOS 10.14.6 To help us debug your issue please explain: - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Widgets: skip intermediate callbacks during throttling Suppose you have a slider, with a callback function (`interact`) that takes 2 seconds to display a plot (intensive calculations). If you move the slider for a few seconds, many `on_change` callbacks will be called successively. The throttle queue becomes longer and longer, the widget goes through many changes, and you have to wait dozens of seconds before the widget stops updating. In this case, shouldn't the intermediate steps be killed _before_ they are processed, so that only the most recent callbacks in the queue stay alive? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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 setup fails to report relevant pkgconfig error **Describe the bug** When dependency `d1` is found by pkgconfig but its transitive dependency `d2` isn't, meson displays output as if `d1` is missing with no mention to `d2` anywhere. **To Reproduce** Below example is for building `fontconfig` (where `d1` is `freetype2` and `d2` is `zlib`) Setup command `PKG_CONFIG_PATH=<freetype_path> meson setup --wrap-mode=nofallback <fontconfig_src>` outputs: ``` [...] Run-time dependency freetype2 found: NO (tried pkgconfig) [...] ../fontconfig-2.14.1/meson.build:32:2: ERROR: Dependency 'freetype' is required but not found. A full log can be found at meson-logs/meson-log.txt ``` and relevant bits from `meson-log.txt`: ``` [...] Called `/usr/bin/pkg-config --modversion freetype2` -> 1 Run-time dependency freetype2 found: NO (tried pkgconfig) [...] ../fontconfig-2.14.1/meson.build:32:2: ERROR: Dependency 'freetype' is required but not found. ``` Now if you run the command printed on `meson-log.txt` you will see the actual error: ``` $ PKG_CONFIG_PATH=<freetype_path> /usr/bin/pkg-config --modversion freetype2 Package zlib was not found in the pkg-config search path. Perhaps you should add the directory containing `zlib.pc' to the PKG_CONFIG_PATH environment variable Package 'zlib', required by 'freetype2', not found ``` **Expected behavior** Output should include failed pkg-config command output. Actual missing package in this example is `zlib` but it is not present in either `meson setup` output or `meson-log.txt`. Debugging this requires recreating the build environment and executing a pkg-config command just to see an error message that meson could have displayed instead of omitting. **system parameters** `meson --version` is `0.64.0` (latest) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Improve/hide `failed with initial frozen solve. Retrying with flexible solve` ### Checklist - [X] I added a descriptive title - [X] I searched open requests and couldn't find a duplicate ### What is the idea? I often see this message when installing packages with conda: Solving environment: failed with initial frozen solve. Retrying with flexible solve. The message is: - quite difficult to understand: what is a frozen/flexible solve? - seems alarming. While as far as I understand, it indicates that conda couldn't solve my request (e.g. install numpy=1.0.0) with the current package versions available in my environment and that it has to upgrade/downgrade/remove some of them to find a solution. conda anyway lists the changes it has to make, if any, to the users when it asks for confirming the install. I suggest two alternative improvements: - Improving the error message to make it more understandable and not alarming, with e.g. `Solving environment: found that changes to the current set of installed packages are required.` - Or, only show this message in verbose mode Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: non json output on root clone I understand that cloning root env is probably a not very good idea... but even then with the json flag, we get this non json output ``` $ conda create -n rootclone --clone root --json` The following packages cannot be cloned out of the root environment: - conda-build-2.0.2-py35_0 - conda-4.2.13-py35_0 ... (valid Json output) ``` Possible fixes according to @kalefranz - Send that output to stderr - Just eat that output - Please fill in with your suggestion ... Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conda/conda codebase. Here's the problem: conda install --no-deps still installing deps when installing tarball When running the following command: `conda install --no-deps ./matplotlib-1.4.0-np18py27_0.tar.bz2` You would assume that no dependencies are installed, but conda seems to install the dependencies anyway. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Bug in autotokenizer some open source models such as falcon. ### System Info I want to get the sentence difference and use autotokenizer a falcon model 40B and 7B but usually, I receive an attribute error bug: model 'signal' has no attribute 'SIGALRM'. ![image](https://github.com/huggingface/transformers/assets/23569519/75d671dd-8b57-4447-acf2-5c093b79eddd) @younesbelkada @ArthurZucker @Rocketknight1 ### Who can help? _No response_ ### Information - [X] The official example scripts - [ ] My own modified scripts ### Tasks - [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction ''' from transformers import AutoModelForCausalLM, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("tiiuae/falcon-40b-instruct") model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-40b-instruct") ''' ![image](https://github.com/huggingface/transformers/assets/23569519/e53a5a08-459e-4dde-bb95-ac151a018a33) ### Expected behavior Give me a method to get the word embeddings using sentence transformers or autotokenizer open source models such as falcon or LLMA2. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: Refresh Airflow UI **Description** As the Airflow 2.0 is coming nearer it would be awesome to **refresh** the Airflow WebUI. By this it mostly means: - using some "modern colors" (how about Airflow logo palette?) - fixing some padding/spacing - and other small HTML / CSS touches **Use case / motivation** The main point is to **refresh** the look, not to rewrite the Web UI. **Related Issues** Apache Airflow brand book: https://cwiki.apache.org/confluence/display/AIRFLOW/Brandbook I'm far away from being a frontend expert but removing the "Airflow green" gives a good impression I think: <img width="2560" alt="Screenshot 2020-09-14 at 10 45 22" src="https://user-images.githubusercontent.com/9528307/93226956-2b1fe900-f774-11ea-9b6a-52579f4109c5.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 mesonbuild/meson codebase. Here's the problem: Meson CMake dependency lookup ignores CMAKE_PREFIX_PATH after recent changes After upgrading from 0.49.2 to 0.50.1, my build which relies on a CMake dependency lookup started failing to find the dependency. By using `git bisect` on the Meson repo I found that the lookup starts failing with [this PR](https://github.com/mesonbuild/meson/pull/4914), specifically [this commit](https://github.com/mesonbuild/meson/pull/4914/commits/cdc338b74337e29c903bb73b61dc6f22877208e7) (cc @mensinda). I've also tested on 0.51.0 and master and the problem persists. As per that PR, Meson now checks if the expected CMake modules exist before actually invoking CMake, except I believe it fails to consider all the places CMake itself would look. Specifically, as I understand it, CMake looks in the paths of the [`CMAKE_PREFIX_PATH`](https://cmake.org/cmake/help/latest/variable/CMAKE_PREFIX_PATH.html) environment variable, which I believe is automatically set by my dependency handling system and was key to finding the dependencies when I used 0.49.2. In newer versions, Meson bails out and never gives CMake the chance to run and check those paths. I can seemingly work around this by configuring with `-Dcmake_prefix_path=$(echo "$CMAKE_PREFIX_PATH" | tr : ,)`, but this feels a bit redundant. It's unclear to me whether it's intended design, given that Meson is happy to read other env vars like CXX/LDFLAGS without passing them through `-D` flags, for example. Previously, Meson's CMake support was really "plug and play" and didn't require any thought beyond what would make CMake itself work in the normal way, and I think it would be ideal to preserve that property. Let me know if you need any more specific details. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software 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: gcloud.storage.bucket.Bucket.upload_file defaults 'key' to None The API cannot do anything useful with the default: either it should be a required argument, or else the method should do something sensible if it is not passed. E.g., one might crack the last element of the filename off and use that as a default 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: Trainer: Support scheduler that reduce LR on loss plateau. # 🚀 Feature request The HuggingFace Trainer currently only supports learning rate schedulers where the learning rate follows a fixed trajectory. Schedulers that adapt the learning rate to the state of the training procedure are (as far as I know) not supported. As en example, take [ `ReduceLROnPlateau`](https://pytorch.org/docs/stable/generated/torch.optim.lr_scheduler.ReduceLROnPlateau.html) from `torch.optim.lr_scheduler`. This scheduler reduced the learning rate when a given metric is stuck on a plateau. In its `step` method, this scheduler requires an input. This input, typically the validation metric, is used to decide whether or not to decrease the learning rate. This behaviour could be supported by giving the scheduler access to the training/validation metrics. This would most likely involve changing [this piece of code](https://github.com/huggingface/transformers/blob/v4.17.0/src/transformers/trainer.py#L1468). I believe that [`TrainerState`](https://huggingface.co/docs/transformers/v4.17.0/en/main_classes/callback#transformers.TrainerState) holds the training/validation metrics in its `log_history` attribute. If the scheduler would have access to `TrainerState`, it would be easy to create a 'stateful' scheduler. ## Motivation This change would allow user to easily use more complex learning rate schedulers together with the `Trainer` class. Can you help me debug this systematically and explain your reasoning?


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

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [REGRESSION] `conan info` does not work correctly with 1.17.0 After upgrading Conan from `1.16.1` to `1.17.0`, `conan info` command stopped working. Here is the output for one package with Conan v1.16.1: ``` $ conan info AndroidNdk/r20@microblink/stable AndroidNdk/r20@microblink/stable ID: 743cf0321be3152777da4d05247a66d1552e70a2 BuildID: None Remote: microblink=http://artifactory.microblink.com/artifactory/api/conan/conan-local URL: https://developer.android.com/ndk/downloads/ Recipe: Cache Binary: Cache Binary remote: microblink Creation date: 2019-06-18 11:00:55 ``` The same command with Conan `v1.17.0` gives the following: ``` conan info AndroidNdk/r20@microblink/stable ERROR: AndroidNdk/r20@microblink/stable: 'options.enable_testing' doesn't exist Possible options are [] ``` I haven't given any option to `conan info`, so where does it get it from? Furthermore, if same command is given from empty folder, then it works. My guess is that it is somehow related to executing this command from folder that contains `conan.lock` for completely different package (which does have `enable_testing` option). Now, why does `conan info` read lockfile even if `--lockfile` option is not given. I've tried removing the `conan.lock` file, and then something even weirder happens: ``` $ rm conan.lock [dodo@knight-rider: Debug]$ conan info AndroidNdk/r20@microblink/stable ERROR: Missing lockfile in: /my/current/folder/containing/cmake/cache/and/conan/installation/for/different/package ``` However, deleting file `graph_info.json` from current folder makes `conan info` work, however I do not want to do that - I am not interested for information about conan package installed in current folder (if I were, I would call `conan info /path/to/conanfile.py`). Can you help me debug this systematically and explain your reasoning?