# Copyright (C) 2022 The Qt Company Ltd. # SPDX-License-Identifier: LicenseRef-Qt-Commercial OR BSD-3-Clause from PySide6.QtCore import (Qt, QEvent, QObject, Signal, Slot) from PySide6.QtWidgets import (QApplication, QLabel, QMainWindow, QPushButton, QVBoxLayout, QWidget) import outcome import signal import sys import traceback import trio class MainWindow(QMainWindow): def __init__(self, async_signal): super().__init__() self.async_signal = async_signal widget = QWidget() self.setCentralWidget(widget) layout = QVBoxLayout(widget) self.text = QLabel("The answer is 42.") layout.addWidget(self.text, alignment=Qt.AlignmentFlag.AlignCenter) async_trigger = QPushButton(text="What is the question?") async_trigger.clicked.connect(self.async_start) layout.addWidget(async_trigger, alignment=Qt.AlignmentFlag.AlignCenter) @Slot() def async_start(self): self.async_signal.emit() async def set_text(self): await trio.sleep(1) self.text.setText("What do you get if you multiply six by nine?") class AsyncHelper(QObject): trigger_signal = Signal() class ReenterQtObject(QObject): """ This is a QObject to which an event will be posted, allowing Trio to resume when the event is handled. event.fn() is the next entry point of the Trio event loop. """ def event(self, event): if event.type() == QEvent.User + 1: event.fn() return True return False class ReenterQtEvent(QEvent): """ This is the QEvent that will be handled by the ReenterQtObject. self.fn is the next entry point of the Trio event loop. """ def __init__(self, fn): super().__init__(QEvent.Type(QEvent.User + 1)) self.fn = fn def __init__(self, entry=None): super().__init__() self.reenter_qt = self.ReenterQtObject() self.entry = entry def set_entry(self, entry): self.entry = entry @Slot() def launch_guest_run(self): """ To use Trio and Qt together, one must run the Trio event loop as a "guest" inside the Qt "host" event loop. """ if not self.entry: raise Exception("No entry point for the Trio guest run was set.") trio.lowlevel.start_guest_run( self.entry, run_sync_soon_threadsafe=self.next_guest_run_schedule, done_callback=self.trio_done_callback, ) def next_guest_run_schedule(self, fn): """ This function serves to re-schedule the guest (Trio) event loop inside the host (Qt) event loop. It is called by Trio at the end of an event loop run in order to relinquish back to Qt's event loop. By posting an event on the Qt event loop that contains Trio's next entry point, it ensures that Trio's event loop will be scheduled again by Qt. """ QApplication.postEvent(self.reenter_qt, self.ReenterQtEvent(fn)) def trio_done_callback(self, outcome_): """ This function is called by Trio when its event loop has finished. """ if isinstance(outcome_, outcome.Error): error = outcome_.error traceback.print_exception(type(error), error, error.__traceback__) if __name__ == "__main__": app = QApplication(sys.argv) async_helper = AsyncHelper() main_window = MainWindow(async_helper.trigger_signal) async_helper.set_entry(main_window.set_text) # This establishes the entry point for the Trio guest run. It varies # depending on how and when its event loop is to be triggered, e.g., # at a specific moment like a button press (as here) or rather from # the beginning. async_helper.trigger_signal.connect(async_helper.launch_guest_run) main_window.show() signal.signal(signal.SIGINT, signal.SIG_DFL) app.exec()
Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.
OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.
import sys
name = sys.stdin.readline()
print("Hello "+ name)
Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.
When ever you want to perform a set of operations based on a condition IF-ELSE is used.
if conditional-expression
#code
elif conditional-expression
#code
else:
#code
Indentation is very important in Python, make sure the indentation is followed correctly
For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.
mylist=("Iphone","Pixel","Samsung")
for i in mylist:
print(i)
While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.
while condition
#code
There are four types of collections in Python.
List is a collection which is ordered and can be changed. Lists are specified in square brackets.
mylist=["iPhone","Pixel","Samsung"]
print(mylist)
Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
Below throws an error if you assign another value to tuple again.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)
Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.
myset = {"iPhone","Pixel","Samsung"}
print(myset)
Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.
mydict = {
"brand" :"iPhone",
"model": "iPhone 11"
}
print(mydict)
Following are the libraries supported by OneCompiler's Python compiler
Name | Description |
---|---|
NumPy | NumPy python library helps users to work on arrays with ease |
SciPy | SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation |
SKLearn/Scikit-learn | Scikit-learn or Scikit-learn is the most useful library for machine learning in Python |
Pandas | Pandas is the most efficient Python library for data manipulation and analysis |
DOcplex | DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling |