module

Why can't classes be used as modules?

倖福魔咒の 提交于 2020-06-12 06:06:43
问题 Module is the superclass of Class : Class.superclass # => Module In OOP, this implies that an instance of Class can be used in every place where an instance of Module can be used. Surprisingly, this is not the case with Class instances in Ruby: class C end c = C.new module M end # Let's do all the extend/include/prepend stuff with M! c.extend M C.include M C.prepend M # All worked fine until this line. # Let's turn to classes now! # First, get a class to work with. class C_as_M end C_as_M

Visual Studio - Finding which modules are causing C1905 (processor incompatibility)

∥☆過路亽.° 提交于 2020-06-11 16:53:46
问题 I'm attempting to make an x64 build of a project with Visual Studio 2005. It's currently failing with linker error C1905, 'Front end and back end not compatible (must target same processor).' From what I gather, this is essentially saying that my x64 build is attempting to link with x86 modules. Unfortunately, this project links with a lot of different libraries. I'm not sure which is the one causing the problem. Is there any way to get more information out of Visual Studio? 回答1: First, check

Python Module Import: Single-line vs Multi-line

生来就可爱ヽ(ⅴ<●) 提交于 2020-06-09 08:20:39
问题 So this is just a simple question. In python when importing modules, what is the difference between this: from module import a, b, c, d and this from module import a from module import b from module import c from module import d To me it makes sense always to condense code and use the first example, but I've been seeing some code samples out there dong the second. Is there any difference at all or is it all in the preference of the programmer? 回答1: There is no difference at all. They both

Python Module Import: Single-line vs Multi-line

旧街凉风 提交于 2020-06-09 08:20:23
问题 So this is just a simple question. In python when importing modules, what is the difference between this: from module import a, b, c, d and this from module import a from module import b from module import c from module import d To me it makes sense always to condense code and use the first example, but I've been seeing some code samples out there dong the second. Is there any difference at all or is it all in the preference of the programmer? 回答1: There is no difference at all. They both

Python Module Import: Single-line vs Multi-line

拥有回忆 提交于 2020-06-09 08:20:09
问题 So this is just a simple question. In python when importing modules, what is the difference between this: from module import a, b, c, d and this from module import a from module import b from module import c from module import d To me it makes sense always to condense code and use the first example, but I've been seeing some code samples out there dong the second. Is there any difference at all or is it all in the preference of the programmer? 回答1: There is no difference at all. They both

How To Reduce Python Script Memory Usage

戏子无情 提交于 2020-06-09 07:31:09
问题 I have a very large python script, 200K, that I would like to use as little memory as possible. It looks something like: # a lot of data structures r = [34, 78, 43, 12, 99] # a lot of functions that I use all the time def func1(word): return len(word) + 2 # a lot of functions that I rarely use def func1(word): return len(word) + 2 # my main loop while 1: # lots of code # calls functions If I put the functions that I rarely use in a module, and import them dynamically only if necessary, I can

Supporting multiple Python module versions (with the same version of Python)

▼魔方 西西 提交于 2020-06-08 07:42:27
问题 I looked around but cannot find a clear answer to my question. I have a very legitimate need for supporting N-versions of the same Python module. If they are stored in the same same package/directory, they would have to be uniquely named, like in the following example: .../some/package/my_module_1.0.py .../some/package/my_module_1.1.py .../some/package/my_module_2.0.py -- etc. -- And each would, in turn, store its version number via the " version " attribute. The consuming program then

Supporting multiple Python module versions (with the same version of Python)

天涯浪子 提交于 2020-06-08 07:42:08
问题 I looked around but cannot find a clear answer to my question. I have a very legitimate need for supporting N-versions of the same Python module. If they are stored in the same same package/directory, they would have to be uniquely named, like in the following example: .../some/package/my_module_1.0.py .../some/package/my_module_1.1.py .../some/package/my_module_2.0.py -- etc. -- And each would, in turn, store its version number via the " version " attribute. The consuming program then

ObserveEvent issues in shiny modules

Deadly 提交于 2020-06-01 07:39:06
问题 Hoping the everyone is doing good in these tough times. In my demo app the observeEvent when run from the module server side updates the numeric value instantly even when I am using ignoreInit = TRUE . This argument is working fine in Shiny apps without the shiny modules. I ran into a this trivial problem while using observeEvent from module server which I am not understanding why? Can anyone explain the reason for such differential behavior in Shiny apps? Below is my Demo code library(shiny)

Ruby self.extended gets called as instance method

喜欢而已 提交于 2020-06-01 07:37:05
问题 module Country def location puts "location" end def self.included(base) def cities puts "cities" end end def self.extended(base) def animals puts "animals" end end end class Test include Country end class Test2 extend Country end As far as I understand, self.included will be invoked when the module is being included as instance method where as self.extended will be invoked when the module is being extended as static class method. But when I have two class in the same file, why it's not