The following application I have created is used to demonstrate multiple windows in tkinter. The main problem is that none of the Entry controls, neither in the bmi-calculator or the converter, accept the values in the entry boxes - they get a ValueError when I do a calculation. from tkinter import * from tkinter import ttk from tkinter import messagebox class App1(ttk.Frame): def createW
我创建的以下应用程序用于演示tkinter中的多个窗口。 主要的问题是没有一个Entry控件（在bmi计算器或转换器中）不接受输入框中的值 - 当我进行计算时，它们会得到一个ValueError。 from tkinter import * from tkinter import ttk from tkinter import messagebox class App1(ttk.Frame): def createWidgets(self): #text variables self.i_height = StringVar() self.i_weight = StringVar()
For a number of reasons I am contemplating redoing an program I use at work in pyqt4 (at present it is in pygtk). After playing around with it and getting a feel for it and appreciating its philosophy with gui building I am running into some annoying ... bugs or implementation limitations One of them is inheritance: #!/usr/bin/env python #-*- coding: utf-8 -*- import sys from PyQt4 import Q
由于很多原因，我正在考虑重做我在pyqt4中使用的程序（目前它在pygtk中）。 在玩弄它并感受它，并用gui构建了解它的理念之后，我遇到了一些恼人的错误或实现限制 其中之一是继承： #!/usr/bin/env python #-*- coding: utf-8 -*- import sys from PyQt4 import QtCore, QtGui app = QtGui.QApplication(sys.argv) class A(object): def __init__(self): print "A init" class B(A): def __init__(se
I am getting Attribute error while trying to unpickle my object using joblib. Should I separately pickle my classes and then unpickle them. class LengthTransformer(TransformerMixin): def transform(self, X, **transform_params): length = pd.DataFrame(X.apply(lambda x: len(x))) return length def fit(self, X, y=None, **fit_params): return self pipeline = Pipeline(
我正在尝试使用joblib取消对象的对象时发生属性错误。 我应该分开腌菜，然后取下它们。 class LengthTransformer(TransformerMixin): def transform(self, X, **transform_params): length = pd.DataFrame(X.apply(lambda x: len(x))) return length def fit(self, X, y=None, **fit_params): return self pipeline = Pipeline([('features', FeatureUnion([
I have some objects of class A which has its own method to be pickled, call it custom_module.customPickle(A) which takes an instance of A and returns a serialization string. I also have list of objects each of class B that contains A . I need to pickle the list, but pickling A gives some error difficult to solve. However, A has its own method to be pickled. I can implement the __reduce__()
我有一些A类A对象，它有自己的方法进行pickle，将其custom_module.customPickle(A) ，它接受A一个实例并返回一个序列化字符串。 我也有包含A每个B类对象的列表。 我需要腌制清单，但酸洗A会给出一些难以解决的错误。 但是， A有自己的方法来腌制。 我可以在类B实现__reduce__()方法，以便它调用custom_module.customPickle(A) 。 但我怎么能这样做，让pickle能够有效地序列化B ？ 对象A是一个music21.stream ，对象B是
I have a function that returns a customized class type which I then want to pickle and unpickle. I am trying to follow this answer and the __reduce__ documentation. I am using Python 2.7. The difference from that answer is that my function accepts an arbitrary class and returns a class derived from it. This is what I have: class Base(object): def foo(self, a): return a + 1 d
我有一个函数返回一个自定义的类类型，然后我想泡菜和unpickle。 我试图按照这个答案和__reduce__文档。 我正在使用Python 2.7。 与这个答案的区别在于我的函数接受一个任意类并返回一个从它派生的类。 这是我拥有的： class Base(object): def foo(self, a): return a + 1 def __reduce__(self): return _InitializeDynamicClass(), (), self.__dict__ def get_dynamic_class(BaseClass): # Ba
Python's copy_reg module allows to register custom reducers and constructors. Is it correct that I can only customize the unpickle behavior of objects that I serialized after I registered the custom serializer/unserializer via copy_reg.pickle ? Example: import pickle, copy_reg class C(object): pass legacy_c_ser = pickle.dumps(C()) def reduce_C(obj): print('reduce_C called')
Python的copy_reg模块允许注册自定义的reducer和构造函数。 是否正确，我只能自定义通过copy_reg.pickle注册自定义序列化程序/非序列化程序后序列化的对象的unpickle行为？ 例： import pickle, copy_reg class C(object): pass legacy_c_ser = pickle.dumps(C()) def reduce_C(obj): print('reduce_C called') tpl = obj.__reduce__() tpl = (load_C, ) + tpl[1:] return tpl def load_C(*tpl):
I'm using a custom pickler that replaces any un-pickleable objects (such as sockets or files) with a string representation of them, based on the code from Shane Hathaway here: Python: Pickling a dict with some unpicklable items It works most of the time, but when I try to unpickle a Django HttpResponse, I get the following error: UnpicklingError: NEWOBJ class argument isn't a type objec
我使用了一个自定义picker，它根据来自Shane Hathaway的代码，用它们的字符串表示替换所有不可pickleable对象（如套接字或文件）：Python：用一些不可取消的项目来腌制字典 它大部分时间都在工作，但是当我试图取消Django HttpResponse时，出现以下错误：UnpicklingError：NEWOBJ类参数不是一个类型对象 我不知道这个错误实际上意味着什么。 如果泡菜好，为什么它不能解开？ 我在Google上发现了这个错误的三个引用，但没有
So I have a class that remembers its instances based on an ID. When unpickling such an object there are two cases I'd like to handle: No other instance with that ID exists, so a new instance is generated and __setstate__ should be called normally. When another instance of that ID exists, that object is returned and I want to avoid calling __setstate__ on it. Please take a look at this
所以我有一个基于ID来记录它的实例的类。 当取消这样的对象时，我想处理两种情况： 没有其他具有该ID的实例存在，因此会生成新实例，并且__setstate__应该正常调用。 当该ID的另一个实例存在时，该对象将返回，并且我想避免对其调用__setstate__ 。 请看看这个班级的定义。 您会注意到，目前我只更新评估为False属性作为解决方法。 我可以想出两个通用策略来解决这个问题： 正如在前面的回答中，我可以定义另一个函
I have a nested class: class WidgetType(object): class FloatType(object): pass class TextType(object): pass .. and an oject that refers the nested class type (not an instance of it) like this class ObjectToPickle(object): def __init__(self): self.type = WidgetType.TextType Trying to serialize an instance of the ObjectToPickle class results in: Pickl
我有一个嵌套类： class WidgetType(object): class FloatType(object): pass class TextType(object): pass ..和一个引用嵌套类类型的对象（不是它的一个实例） class ObjectToPickle(object): def __init__(self): self.type = WidgetType.TextType 尝试序列化ObjectToPickle类的实例会导致： PicklingError：Can not pickle <class'setmanager.app.site.widget_data_
Is there anyway to encorporate Dragon NaturallySpeaking into an event driven program? My boss would really like it if I used DNS to record user voice input without writing it to the screen and saving it directly to XML. I've been doing research for several days now and I can not see a way for this to happen without the (really expensive) SDK, I don't even know that it would work then.
无论如何将Dragon NaturallySpeaking融入事件驱动程序？ 如果我使用DNS记录用户语音输入而不写入屏幕并将其直接保存到XML，我的老板会非常喜欢它。 我已经做了好几天的研究，我看不到一个没有（非常昂贵）SDK的情况下发生这种情况的方法，我甚至不知道它会起作用。 微软有能力编写一个（Python）程序，它的语音识别器可以等待，直到它检测到一个语音事件，然后处理它。 它还具有能够向其认为是最佳猜测和记录.wav文件供以后