set

问题 I've been working for a couple of weeks on an Agda project, glibly ignoring level polymorphism as much as I can. Unfortunately (or perhaps fortunately) I seem to have reached the point where I need to start understanding it. Until now I've been using level variables only when they are needed as a second argument to Rel (or third argument to REL ). Otherwise I have omitted them, just using Set directly. Now I have some client code that explicitly quantifies over levels a and tries to pass some

问题 I have this dataset: import pandas as pd import itertools A = ['A','B','C'] M = ['1','2','3'] F = ['plus','minus','square'] df = pd.DataFrame(list(itertools.product(A,M,F)), columns=['A','M','F']) print(df) The example output is like this: A M F 0 A 1 plus 1 A 1 minus 2 A 1 square 3 A 2 plus 4 A 2 minus 5 A 2 square I want to pairwise comparison (jaccard similarity) of each row from this data frame, for example, comparing A 1 plus and A 2 square and get the similarity value between those both

问题 The code in c++ is as follows: #include<iostream> #include<string> #include<set> using namespace std; class data{ int i; float f; char c; public: bool operator()( data const& a1, data const& a2 ) const{ return( a1.i < a2.i || (!(a1.i > a2.i) && (a1.f < a2.f)) || (!(a1.i > a2.i) && !(a1.f > a2.f) && (a1.c < a2.c))); }; data(); data(int i,float f,char c); int geti(); }; int data::geti(){ return i; }; data::data(int i,float f,char c){ this->i=i; this->f=f; this->c=c; }; int main(){ set<data> s;

问题 I would like to generate partitions for a set in a specific way: I need to filter out all partitions which are not of size N in the process of generating these partitions. The general solution is "Generate all “unique” subsets of a set (not a powerset)". For the set S with the following subsets: [a,b,c] [a,b] [c] [d,e,f] [d,f] [e] and the following 'unique' elements: a, b, c, d, e, f the result of the function/method running with the argument N = 2 should be: [[a,b,c], [d,e,f]] While the

问题 I've got some grouped tabular data, and in this data there's a column for which each data point can actually have a set of different values. I'm trying to calculate the difference of that set from that of its preceding data point in the group it's a member of. For example, given the data below, I'm trying to calculate the difference of the values of Tokens † for Timestep value n from the values of Tokens for the row with Timestamp value n - 1 for each Dyad,Participant combination: | Dyad |

问题 Suppose I generate a frozenset with A = frozenset(frozenset([element]) for element in [1,2,3]) And I have the empty set E = frozenset(frozenset()) Now I want to have the union of both sets: U = A | E This gives me frozenset({frozenset({2}), frozenset({3}), frozenset({1})}) this assumes, that a frozenset, containing an empty frozenset is itself empty. However, I'd like to have frozenset({frozenset({}), frozenset({2}), frozenset({3}), frozenset({1})}) So, I'd like to add the empty set

问题 This question already has answers here : How to find an object with specific field values in a std::set? (5 answers) Closed 2 years ago . I have tried searching for this but couldn't really find a proper answer. I have a stl::set of a custom class I made. The class looks like class myObject{ public: int a; int b; int c; // constructor and operator < () } The < comparison is based on b and c but I want to find elements in the set by a . Is there a way to do that other than performing a linear

问题 I have several dictionary files, I want this code to open each file and add it to a set, for later comparison and matching. Basically I have a different list of all permutations of all possible characters and I need to know if permutation is in dictionary. But when I try to make a set with all dictionary lines I get this error: choices = ['s','m','o','k','e','j','a','c','k'] def parsed(choices): mySet = {} for item in choices: filename = self.location + "/dicts/%s.txt" % (item) mySet.update

问题 I need to find a best distance equation to find the distance between two sets. Distance equations are like euclidean, manhantan or any..I have to find the optimal minimal distance between two entities. Entities are sets with elements(floating values). Sets can be equi number of elements or may vary. for ex: s1={2.1,3.5,2.7,4.9}, s2={4.2,3.1,2.3} How can I find the distance between two such kind of sets ? In my case, each element is indexed to one position...for ex: s1={w,x,y,z}, s2={w,y,z}.

问题 I want to search in a Set without iterating manually over the elments but there does not seem to be a method to do Collections.search(myset, target, new ComparatorThing()). Am I not seeing something? Thanks. Edit: I am searching for another field than the natural order of the elements. As a manual workaround I used the following static method. Should okay, since you can't make any assumtions about the other using a custom field in the comparator anyways. public static T search(final Set set,