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问题 I'm totally new to Clingo (and logic programming) and I'm looking for the best way to implement the following basic constraints: Q1. I have a predicate selected(T) where T ranges from 1 to N=5; how can I specify that exist at least one T such that selected(T) ? Q2. I have a binary predicate wrap(E,T) where E, T range from 1 to M, N; how can I specify that for each E exist at least one T such that wrap(E,T) ? Q3. How can I specify that if selected(a) OR selected(b) then selected(c) must be

问题 In Docker, an image is a stack of Read-only image layers. We also know that images share layers or other images. My question is about how this sharing mechanism work. Does an image have pointers to the Docker storage driver or do they actually contain other layers? If the first one is true, does that mean Dockerfile saves those layers into daemon and the image is the instruction of retrieving those layers orderly? 回答1: It depends on your storage driver: Docker uses storage drivers to manage

问题 In Docker, an image is a stack of Read-only image layers. We also know that images share layers or other images. My question is about how this sharing mechanism work. Does an image have pointers to the Docker storage driver or do they actually contain other layers? If the first one is true, does that mean Dockerfile saves those layers into daemon and the image is the instruction of retrieving those layers orderly? 回答1: It depends on your storage driver: Docker uses storage drivers to manage

问题 In Docker, an image is a stack of Read-only image layers. We also know that images share layers or other images. My question is about how this sharing mechanism work. Does an image have pointers to the Docker storage driver or do they actually contain other layers? If the first one is true, does that mean Dockerfile saves those layers into daemon and the image is the instruction of retrieving those layers orderly? 回答1: It depends on your storage driver: Docker uses storage drivers to manage

问题 Here's my scenario: I have a program which produces debug output with OutputDebugString() which maybe contains messages indicating bugs. I want to run this program inside daily build and automatically listen to debug output, parse it and report suspicious output. There're several examples of such listener implementations, for example this one. They all do the same - listen to a system-wide event and then read data from a file mapping. The problem is this protocol allows for only one instance

问题 I have a 2D list of booleans. I want to select a random index from the the list where the value is False . For example, given the following list: [[True, False, False], [True, True, True], [False, True, True]] The valid choices would be: [0, 1] , [0, 2] , and [2, 0] . I could keep a list of valid indices and then use random.choice to select from it, but it seems unpythonic to keep a variable and update it every time the underlying list changes for only this one purpose. Bonus points if your

问题 I want to get the highest role in the guild with discord.js message.guild.roles.highestRole This doesn't work. Any help would be appreciated. Thanks from now :) 回答1: For discord.js v12 / master use message.guild.roles.highest.name For discord.js v11.4.x / stable use message.guild.roles.sort((b, a) => a.position - b.position || a.id - b.id).first().name, this will sort the roles Collection by their position and then get the highest one, and return the name of it. 来源： https://stackoverflow.com

问题 I want to get the highest role in the guild with discord.js message.guild.roles.highestRole This doesn't work. Any help would be appreciated. Thanks from now :) 回答1: For discord.js v12 / master use message.guild.roles.highest.name For discord.js v11.4.x / stable use message.guild.roles.sort((b, a) => a.position - b.position || a.id - b.id).first().name, this will sort the roles Collection by their position and then get the highest one, and return the name of it. 来源： https://stackoverflow.com

问题 I have been given 2 data sets and want to perform cluster analysis for the sets using KNIME. Once I have completed the clustering, I wish to carry out a performance comparison of 2 different clustering algorithms. With regard to performance analysis of clustering algorithms, would this be a measure of time (algorithm time complexity and the time taken to perform the clustering of the data etc) or the validity of the output of the clusters? (or both) Is there any other angle one look at to

问题 Is it possible to draw an abline of a fit only in a certain range of x-values? I have a dataset with a linear fit of a subset of that dataset: # The dataset: daten <- data.frame(x = c(0:6), y = c(0.3, 0.1, 0.9, 3.1, 5, 4.9, 6.2)) # make a linear fit for the datapoints 3, 4, 5 daten_fit <- lm(formula = y~x, data = daten, subset = 3:5) When I plot the data and draw a regression line: plot (y ~ x, data = daten) abline(reg = daten_fit) The line is drawn for the full range of x-values in the