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Изворен канал @pythonotes · Post #380 · 21 окт.

Регулярно приходится писать и ревьюить код, где используется PySide2-6. Заметил, что в подавляющем большинстве случаев настройка создаваемых базовых виджетов происходит через методы. Думаю, всем знаком такой способ. Простой пример с кнопкой: button = QPushButton("Click Me") button.setMinimumWidth(300) button.setFlat(True) button.setStyleSheet("font-size: 20pt") button.setToolTip("Super Button") button.clicked.connect(lambda: print("Button clicked")) Но есть и альтернативный способ - настройка через свойства. Это просто ключевые аргументы конструктора класса. Хоть они и не указаны в документации как аргументы, но они есть) Этот код делает тоже самое но с помощью Property button = QPushButton( "Click Me", minimumWidth=300, flat=True, styleSheet="font-size: 20pt", toolTip="Super Button", clicked=lambda: print("Button clicked"), ) Где это может быть полезно ▫️ Это выглядит более аккуратно и коротко, уже повод использовать ▫️ Может использоваться в заполнении лейаута, когда нам не нужно никакое другое взаимодействие с виджетом и поэтому сохранять его в переменную не требуется. Например, лейбл или кнопка. widget = QWidget(minimumWidth=400) layout = QHBoxLayout(widget) layout.addWidget(QLabel("Button >", alignment=Qt.AlignRight)) layout.addWidget(QPushButton("Click Me", clicked=lambda: print("Button clicked"))) widget.show() Либо так widget = QWidget(minimumWidth=400) layout = QHBoxLayout(widget) for wd in ( QLabel("Button >", alignment=Qt.AlignRight), QPushButton("Click Me", clicked=lambda: ...) ): layout.addWidget(wd) widget.show() ▫️ Можно хранить настройки в каком-то конфиге или генерировать на лету, после чего передавать как kwargs. kwargs = {"text": "Hello " * 30, "wordWrap": True} my_label = QLabel(**kwargs) Как получить полный список доступных свойств? Эта функция распечатает в терминал все свойства виджета и их текущие значения def print_widget_properties(widget): meta_object = widget.metaObject() for i in range(meta_object.propertyCount()): property_ = meta_object.property(i) property_name = property_.name() property_value = property_.read(widget) print(f"{property_name}: {property_value}") #tricks#qt

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AI & Law

@ai_and_law · Post #786 · 17.03.2026 г., 08:04

🌐OECD Report Seeks Clear Terminology for AI Agents and Agentic AI The Organisation for Economic Co-operation and Development (OECD) has published a report examining the concepts of “AI agents” and “agentic AI” and the distinction between them. The report analyses how both terms are used in existing literature and evaluates their meaning through the lens of the OECD definition of an AI system. The study aims to establish more precise and consistent terminology around these concepts. By reviewing current academic and policy discussions, the report highlights differences in how the terms are applied and seeks to clarify their use in the context of AI governance and research. #AI#AIGovernance#AITerminology#AIRegulation#OECD

AI & Law

@ai_and_law · Post #167 · 17.11.2023 г., 08:04

EU and U.S. Release 65 Key AI Terms: Seeking Public Input Hello, dear subscribers! The European Union and the United States have unveiled 65 key AI terms crucial for comprehending risk-based AI approaches. As part of the Fourth EU-US Trade and Technology Council held in May 2023, the EU and U.S. have released essential AI terminology and taxonomy. The initiative aims to foster a shared understanding of risk management in the realm of Artificial Intelligence. Now, they are inviting public input. Comments on the completeness, relevance, and correctness of these definitions are encouraged. #AInews#EUUSTradeTech#AIterminology

AI & Law

@ai_and_law · Post #42 · 29.06.2023 г., 07:04

EU-US draft Terminology and Taxonomy for artificial intelligence released The Trade and Technology Council has published a significant document called the "Draft EU-US Terminology and Taxonomy for Artificial Intelligence." This publication marks a crucial milestone in establishing a common understanding of AI systems between the European Union and the United States. The identified terms in this draft reflect a shared understanding of the technical, socio-technical, and values-based aspects of AI. They are designed to lay the groundwork for future definitions and facilitate transatlantic collaboration on AI terminology and taxonomy. It's important to note that this list is preliminary and is expected to evolve further. In the coming months, experts and stakeholders will provide their input to expand and validate the terminology. This collaborative effort ensures a comprehensive and inclusive approach to defining AI concepts. #AITerminology#AITaxonomy#TransatlanticCooperation#AI#Law