{
    "info": {
        "author": "Justin Engel",
        "author_email": "jtengel08@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
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            "Programming Language :: Python",
            "Programming Language :: Python :: 3"
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        "description": "# Event Signal\n\nThis library was created to help maintain when variables are changed and when functions are called.\n\nThere are 5 main utilities provided\n\n    * signaler - Function decorator to help observe functions\n    * signaler_property - Custom property that helps observe when a property value is changed or deleted.\n    * MethodObserver - class mixin to make all function observable\n    * Signal - Similar to Qt's signal without requiring PyQT or PySide\n    * bind - Make two object share the same value\n    \n## Use\n\nThere are 5 main functions to use the signals.\n\n    * get_signal - returns a list of connected function callbacks\n    * on - connect a callback function to a signal\n    * off - disconnect a callback funciton from a signal\n    * fire - Call all callback functions that are associated with a signal\n    * block - Temporarily block a signal from calling callback functions\n    \nTwo basic signals are provided `'before_change'` and `'change'`. The signaler_property also has delete signals.\n\n    * 'before_change' - This signal automatically fires before a function is called.\n    * 'change' - This signal automatically fires after a function is called.\n    * 'before_delete' - signaler_property fired before `del obj.property` is called.\n    * 'delete' - signaler_property fired after `del obj.property` is called.\n\n## Basics\n\nA signaler is a custom class that decorates a function. It acts just like a function (it is callable). A signaler can \nhave other functions attached to it with a name. When the signaler fire is called it will call all of the attached \nfunctions.\n\n```python\nfrom event_signal import signaler\n\ndef my_function(a, b, c):\n    print(a, b, c)\n\nmy_function = signaler(my_function)\n\n# Call the signaler like a normal function\nmy_function(1, 2, 3)\n# print = 1, 2, 3\nprint('=====\\n')\n\ndef print_signal(value1, value2):\n    print('print_signal called', value1, value2)\n\nmy_function.on('my_signal', print_signal)\nmy_function.fire('my_signal', 1, 2)\n# print = print_signal called 1 2\nprint('=====\\n')\n\ndef another_signal(value1, value2):\n    print('another_signal called', value1, value2, value1 == value2)\n\nmy_function.on('my_signal', another_signal)\nmy_function.fire('my_signal', 2, 2)\n# print = print_signal called 2 2\n# print = another_signal called 2 2 True\nprint('=====\\n')\n\nmy_function.off('my_signal', print_signal)\nmy_function.fire('my_signal', 3, 2)\n# print = another_signal called 3 2 False\nprint('=====\\n')\n\nprint(my_function.get_signal('my_signal'))\n# print = [<function ...another_signal at 0x056076F0>]\nprint('=====\\n')\n\nmy_function.block('my_signal')\nmy_function.fire('my_signal', 4, 5)\n# No print!\nmy_function.block('my_signal', False)\nmy_function.fire('my_signal', 5, 6)\n# print = another_signal called 5 6 False\nprint('=====\\n')\n``` \n\n    \n## Example - signaler\nJavascript like events for functions and objects. \nThe signaler automatically creates and fires signals `'before_change'` and `'change'`.\n\n\n```python\nfrom event_signal import signaler\n\n\nclass XTest(object):\n    def __init__(self, x=0):\n        self._x = x\n\n    def get_x(self):\n        return self._x\n\n    @signaler\n    def set_x(self, x):\n        self._x = x\n        \n    @set_x.on(\"before_change\")\n    def x_changing(self, x):\n        print(\"x is changing\")\n        \n    @set_x.on(\"change\")\n    def x_changed(self, x):\n        print(\"x changed\", x)\n        \nt = XTest()\nt.set_x(1)\n# x is changing\n# x changed 1\nt.set_x.on(\"change\", lambda x: print(\"new signal\"))\nt.set_x(2)\n# x is changing\n# x changed 2\n# new signal\nt.set_x.off(\"before_change\", t.x_changing)\nt.set_x(3)\n# x changed 3\n# new signal\n\nt.set_x.block()\nt.set_x(4)\n\nt.set_x.block(block=False)\nt.set_x(5)\n# x changed 3\n# new signal\n\nt.set_x.block('change', True)\nt.set_x(6)\n```\n\n\nChange the value that is passed to the change callback functions.\n```python\nfrom event_signal import signaler\n\nclass XTest(object):\n    def __init__(self, x=0):\n        self._x = x\n\n    def get_x(self):\n        return self._x\n\n    @signaler(getter=get_x)\n    def set_x(self, x):\n        \"\"\"Set x and force the value to be between 1 and 100.\"\"\"\n        if x < 0:\n            x = 0\n        elif x > 100:\n            x = 100\n        self._x = x\n        \n    @set_x.on(\"before_change\")\n    def x_changing(self, x):\n        print(\"x is changing\", x)\n        \n    @set_x.on(\"change\")\n    def x_changed(self, x):\n        print(\"x changed\", x)\n        \nt = XTest()\n\nt.set_x(1)\n# x is changing 1\n# x changed 1\n\n# Normally (without the getter) the change callback functions receive \n# the x value that was passed into set_x\nt.set_x(-1)\n# x is changing -1\n# x changed 0\n\nt.set_x(102)\n# x is changing 102\n# x changed 100\n\n# In this case the value passed into the change callback functions\n# is the value returned from the signaler getter (t.get_x) \n# which is how the signaler_property works.\n```\n\n## Example - signaler_property\nA property with signaler capabilities.\nThe signaler_property automatically creates and fires signals `'before_change'`, `'change'`, `'before_delete'`, and `'delete'`.\n\n```python\nfrom event_signal import signaler_property\n\n\nclass XTest(object):\n    def __init__(self, x=0):\n        self._x = x\n\n    @signaler_property  # or signaler.property\n    def x(self):\n        return self._x\n\n    @x.setter\n    def x(self, x):\n        self._x = x\n        \n    @x.on(\"before_change\")\n    def x_changing(self, x):\n        print(\"x is changing\")\n        \n    @x.on(\"change\")\n    def x_changed(self, x):\n        print(\"x changed\", x)\n        \nt = XTest()\nt.x = 1\n# x is changing\n# x changed 1\nXTest.x.on(t, \"change\", lambda x: print(\"new signal\"))\nt.x = 2\n# x is changing\n# x changed 2\n# new signal\nXTest.x.off(t, \"before_change\", t.x_changing)\nt.x = 3\n# x changed 3\n# new signal\n\nXTest.x.block(t, 'change')\nt.x = 4\n\nXTest.x.block(t, 'change', False)\nt.x = 5\n# x changed \n# new signal\n```\n\n## Example - MethodObserver\nInheritable class or metaclass that makes every function/method in a class a signaler.\n\n```python\nfrom event_signal import MethodObserver\n\n\nclass XTest(MethodObserver):\n    def __init__(self, x=0):\n        self._x = x\n\n    def get_x(self):\n        return self._x\n\n    def set_x(self, x):\n        self._x = x\n        \n    def x_changing(self, x):\n        print(\"x is changing\")\n        \n    def x_changed(self, x):\n        print(\"x changed\", x)\n        \nt = XTest()\nt.set_x(1)\nt.set_x.on(\"change\", t.x_changed)\nt.set_x(2)\n# x changed 2\nt.set_x.on(\"before_change\", t.x_changing)\nt.set_x(3)\n# x is changing\n# x changed 3\nt.set_x.off(\"before_change\", t.x_changing)\nt.set_x(4)\n# x changed 4\n```\n\n## Example - Signal\nQt like signal.\n\n\n**Warning:**\n\nQt's signals are thread safe (depending on how you connect them). They call the callback functions in the main thread.\nMany Qt widgets error and do not update when a value is set from a separate thread. So Qt's Signal is a good way to \nupdate a QWidget's value display, but can be slow. \n\nThe event_signal.Signal works like a Qt Signal with a direct connection. \nThe callback functions are called in the same thread that originally called the function. If you are using Qt and use \nthis Signal from a separate thread to udate a QWidget it may not work properly and throw errors or warnings.\n\nFor more information on how to make a QWidget thread safe go to <https://tasks.justengel.com/project/justengel-event-signal/wiki/signal-qt-thread-safe>\n\nAlso this signal does not do any kind of type checking. Passing types into the Signal constructor ```Signal(int, str)``` \nis just for looks and maybe code readability.\n\n```python\nfrom event_signal import Signal\n\n\nclass XTest(object):\n    x_changed = Signal(int)\n\n    def __init__(self, x=0):\n        self._x = x\n\n    def get_x(self):\n        return self._x\n\n    def set_x(self, x):\n        self._x = x\n        self.x_changed.emit(self._x)\n        \n    def notify_x_changed(self, x):\n        print(\"x changed\", x)\n        \nt = XTest()\nt.set_x(1)\nt.x_changed.connect(t.notify_x_changed)\nt.set_x(2)\n# x changed 2\nt.x_changed.emit(3)\n# x changed 3\nprint(t.get_x())\n# 2\nt.x_changed.disconnect(t.notify_x_changed)  # or t.x_changed.disconnect()\nt.set_x(4)\nprint(t.get_x())\n# 4\n```\n\n## Example - bind\nbind the value of two objects together. This will automatically use properties or find setter methods \n(\"set_\" + property_name or \"set\" + property_name). The binder will change a property to a signaler_property or if a \nproperty is not found and a setter function is used it will change that setter function to a signaler if it is not \nalready a signaler.\n\nThe main goal is to help two objects keep the same value for a variable.\n\nWhen using Qt I found this very annoying. I wanted a regular python object to store data and a GUI Widget to display \nthe value and let the user change value. I wanted the two items decoupled. Occasionally, I wanted to programmatically \nset the data object value and wanted the GUI Widget to display this change automatically. The signals became annoying \nto deal with since I do a lot of work with threading. After several overly complex solutions, I made this bind function \nto make the GUI and data objects match values.\n\n```python\nfrom event_signal import bind, bind_signals  # bind_signals is only for directly giving signalers.\n\n\nclass XTest(object):\n    def __init__(self, x=0, y=0):\n        self._x = x\n        self._y = y\n\n    def get_x(self):\n        return self._x\n\n    def set_x(self, x):\n        self._x = x\n    \n    @property    \n    def y(self):\n        return self._y\n    \n    @y.setter\n    def y(self, y):\n        self._y = y\n    \n        \nt = XTest()\nt2 = XTest()\nbind(t, \"x\", t2)\nt.set_x(1)\nprint(t.get_x())\n# 1\nassert t.get_x() == t2.get_x()\n\nbind(t, \"y\", t2, \"y\")\nt2.y = 2\nprint(t2.y)\n# 2\nassert t.y == t2.y\n```\n\nYou can manually bind the signalers as well.\n```python\nfrom event_signal import signaler, bind_signals  # bind_signals is only for directly giving signalers.\n\n\nclass Test2(object):\n    def __init__(self, x=0, y=0):\n        self._x = x\n        self._y = y\n\n    def get_x(self):\n        return self._x\n\n    @signaler(getter=get_x)\n    def set_x(self, x):\n        self._x = x\n        \nt1 = Test2()\nt2 = Test2()\nbind_signals(t1.set_x, t2.set_x)\n\nt1.set_x(2)\nassert t1.get_x() == t2.get_x()\n\nt2.set_x(5)\nassert t1.get_x() == t2.get_x()\n```\n\nAn unbind option is also available and works just like the examples above accept you can choose to unbind a single object at a time\n```python\nfrom event_signal import bind, unbind, unbind_signals  # unbind_signals is only for directly giving one or more signalers.\n\n\nclass XTest(object):\n    def __init__(self, x=0):\n        self._x = x\n\n    def get_x(self):\n        return self._x\n\n    def set_x(self, x):\n        self._x = x\n        \nt = XTest()\nt2 = XTest()\nbind(t, \"x\", t2)\n\nt.set_x(1)\nprint(t.get_x())\n# 1\nassert t.get_x() == t2.get_x()\n\nunbind(t, \"x\")\nt.set_x(2)\nprint(t.get_x())\n# 2\nassert t.get_x() != t2.get_x()\n\nt2.set_x(3)\nprint(t2.get_x())\n# 3\nassert t.get_x() == t2.get_x()\n\n\nunbind(t2.set_x)\nt2.set_x(4)\nprint(t2.get_x())\n# 4\nassert t.get_x() != t2.get_x()\n\n\nbind(t, \"x\", t2)\nt.set_x(1)\nprint(t.get_x())\n# 1\nassert t.get_x() == t2.get_x()\n\nunbind(t, \"x\", t2)\nt.set_x(2)\nprint(t.get_x())\n# 2\nassert t.get_x() != t2.get_x()\n\nt2.set_x(3)\nprint(t2.get_x())\n# 3\nassert t.get_x() != t2.get_x()\n```\n\n### bind Qt\n\nI now provide a `bind_qt` and `unbind_qt` functions. \n\n```python\nfrom event_signal import signaler, bind_qt, unbind_qt\nfrom qtpy import QtWidgets\n\nclass MyData(object):\n    def __init__(self, name='hello'):\n        self._name = name\n\n    def get_name(self):\n        return self._name\n\n    @signaler(getter=get_name)\n    def set_name(self, name):\n        self._name = str(name)\n\napp = QtWidgets.QApplication([])\n\nwidg = QtWidgets.QWidget()\nlay = QtWidgets.QVBoxLayout()\nwidg.setLayout(lay)\nwidg.show()\n\ndata = MyData()\ndata.set_name.on('change', lambda name: print('data name changed to', name))\n\ninp = QtWidgets.QLineEdit('Hello World!')\nlay.addWidget(inp)\n\nbind_qt(data, 'set_name', inp, 'setText')  # qt_signal='editingFinished'\n\nbtn = QtWidgets.QPushButton('Set Hello')\ndef set_hello():\n    data.set_name('Hello')\nbtn.clicked.connect(set_hello)\nlay.addWidget(btn)\n\nunbind_btn = QtWidgets.QPushButton('unbind')\ndef unbind_call():\n    unbind_qt(data, 'set_name', inp, 'setText')\nunbind_btn.clicked.connect(unbind_call)\nlay.addWidget(unbind_btn)\n\napp.exec_()\n```\n\nTo edit what widget value is used.\n\n```python\nfrom event_signal import qt_binder\n\ndef get_widget_value(widget):\n    if isinstance(widget, CustomWidget):\n        return widget.my_value()\n    \n    return qt_binder.get_widget_value(widget)\n    \nqt_binder.get_widget_value = get_widget_value()\n```\n\nOne thing to watch out for is if functions are called multiple times or are infinitely recursive.",
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