search
HomeBackend DevelopmentPython TutorialDoes the Order of Connecting a Signal to a Slot Matter When Moving the Receiver to a Separate Thread in PyQt?

 Does the Order of Connecting a Signal to a Slot Matter When Moving the Receiver to a Separate Thread in PyQt?

PyQt: Connecting a Signal to a Slot to Initiate Background Processing with Progress Updates

You have a scenario where you need to perform a background operation and update a progress bar in the user interface. The background operation, represented by scan_value, iterates through a range of values and emits a value_changed signal upon each change. While the obj.value_changed signal is connected to an appropriate slot that updates the progress bar, a question arises regarding the order of operations.

Initially, the code follows a conventional approach, connecting the signal to the slot before moving the Scanner object to a separate thread. However, a modification is proposed, where the signal connection occurs after initiating the thread and moving the Scanner object.

The Question:

Does the sequence of connecting the signal before or after moving the receiving object to another thread impact the behavior of the progress bar updates?

The Answer:

According to Qt documentation, the type of connection is determined based on where the signal is actually emitted. By default, QtCore.Qt.AutoConnection is utilized, ensuring that the signal behaves as Qt.QueuedConnection if emitted from a different thread and Qt.DirectConnection if emitted from the same thread.

However, the crucial point to consider is the slot implementation. In PyQt, the slot function requires the @pyqtSlot decorator to explicitly mark it as a Qt slot. This avoids relying on a proxy object, which can lead to problems if the signal connection is established before moving the receiving object to a separate thread.

In essence, the problematic scenario occurs when a proxy object is used to wrap a regular Python function and connect it to a Qt signal. Since PyQt automatically attempts to move the proxy to the same thread as the receiving object, if the connection is made prematurely, the proxy may remain in the main thread, causing unexpected behavior.

To resolve this issue, use the @pyqtSlot decorator to create Qt slots directly, eliminating the need for proxy objects. This method is consistent across both PyQt and PySide, ensuring proper behavior regardless of the order of signal connection and thread operations.

The above is the detailed content of Does the Order of Connecting a Signal to a Slot Matter When Moving the Receiver to a Separate Thread in PyQt?. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Merging Lists in Python: Choosing the Right MethodMerging Lists in Python: Choosing the Right MethodMay 14, 2025 am 12:11 AM

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

How to concatenate two lists in python 3?How to concatenate two lists in python 3?May 14, 2025 am 12:09 AM

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Python concatenate list stringsPython concatenate list stringsMay 14, 2025 am 12:08 AM

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

Python execution, what is that?Python execution, what is that?May 14, 2025 am 12:06 AM

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Python: what are the key featuresPython: what are the key featuresMay 14, 2025 am 12:02 AM

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python: compiler or Interpreter?Python: compiler or Interpreter?May 13, 2025 am 12:10 AM

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Python For Loop vs While Loop: When to Use Which?Python For Loop vs While Loop: When to Use Which?May 13, 2025 am 12:07 AM

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Python loops: The most common errorsPython loops: The most common errorsMay 13, 2025 am 12:07 AM

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment