libvirtError: internal error Cannot find suitable CPU model for given data

libvirtError: internal error Cannot find suitable CPU model for given data

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libvirtError: internal error Cannot find suitable CPU model for given data
Tag : development , By : Anthony Eden
Date : November 25 2020, 07:22 PM

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No suitable mapping model found for core data migration

Tag : ios , By : user150744
Date : March 29 2020, 07:55 AM
this one helps. The mapping model generated by Xcode 4 does not produce the correct hashes needed for the migration to occur. You can compare the output from the migration log to your mapping file's hashes with the code below:
    NSString *mappingModelPath = [[NSBundle mainBundle] pathForResource:@"MappingFile" ofType:@"cdm"];
    NSMappingModel *mappingModel = [[NSMappingModel alloc] initWithContentsOfURL:[NSURL fileURLWithPath:mappingModelPath]];

    for (NSEntityMapping *entityMapping in mappingModel.entityMappings) {
        NSLog(@"%@: %@", entityMapping.sourceEntityName, entityMapping.sourceEntityVersionHash);
        NSLog(@"%@: %@", entityMapping.destinationEntityName, entityMapping.destinationEntityVersionHash);

Suitable Data Model design (RDBMS) for multiple permutations of data

Tag : database , By : evegter
Date : March 29 2020, 07:55 AM
may help you . Yes there is a better strategy. It's called Dimensional Modeling, or Star Schema.
You store one table, called the Fact Table, which has columns for Campaign, Medium, and Supermarket.
  campaign_id INT,
  medium_id INT,
  supermarket_id INT,
  conversions INT,
  PRIMARY KEY (campaign_id, medium_id, supermarket_id),
  FOREIGN KEY (campaign_id) REFERENCES Campaigns(campaign_id),
  FOREIGN KEY (medium_id) REFERENCES Mediums(medium_id),
  FOREIGN KEY (supermarket_id) REFERENCES Supermarkets(supermarket_id)
SELECT SUM(conversions) FROM FactTable
JOIN Campaigns USING (campaign_id) 
WHERE campaign = 'Baked Beans';
SELECT SUM(conversions) FROM FactTable
JOIN Campaigns USING (campaign_id) 
JOIN Mediums USING (medium_id)
WHERE campaign = 'Baked Beans' AND medium = 'Facebook';
SELECT SUM(conversions) FROM FactTable
JOIN Supermarkets USING (supermarket_id)
WHERE supermarket = 'Walmart';
SELECT SUM(conversions) FROM FactTable
JOIN Mediums USING (medium_id)
JOIN Supermarkets USING (supermarket_id)
WHERE medium = 'Facebook' AND supermarket = 'Walmart';
SELECT SUM(conversions) FROM FactTable
JOIN Campaigns USING (campaign_id)
JOIN Mediums USING (medium_id)
JOIN Supermarkets USING (supermarket_id)
WHERE campaign = 'Ketchup' AND medium = 'Flash Banner Ad' AND supermarket = 'Safeway';

C++, suitable data model, polymorhpism

Tag : cpp , By : Moe Skeeto
Date : March 29 2020, 07:55 AM
should help you out hmm... how about composition?
I have made the handle copyable, for completeness
#include <utility>
#include <memory>
#include <vector>
#include <iostream>

int f(int a, int t) {
    return a * t;

struct has_a
    int a;

/// when some T is not derived from has_a, its getat method will return 0
template<class T, std::enable_if_t<not std::is_base_of<has_a, T>::value>* = nullptr>
int impl_getat(const T&, int t) { return 0; }

// when some T is derived from has_a, its getat method will return f(a, t)
template<class T, std::enable_if_t<std::is_base_of<has_a, T>::value>* = nullptr>
int impl_getat(const T& a, int t) { return f(a.a, t); }

// ditto for has_b
struct has_b
    int b;
template<class T, std::enable_if_t<not std::is_base_of<has_b, T>::value>* = nullptr>
int impl_getbt(const T&, int t) { return 0; }
template<class T, std::enable_if_t<std::is_base_of<has_b, T>::value>* = nullptr>
int impl_getbt(const T& b, int t) { return f(b.b, t); }

// ditto for has_c
struct has_c
    int c;
template<class T, std::enable_if_t<not std::is_base_of<has_c, T>::value>* = nullptr>
int impl_getct(const T&, int t) { return 0; }
template<class T, std::enable_if_t<std::is_base_of<has_c, T>::value>* = nullptr>
int impl_getct(const T& c, int t) { return f(c.c, t); }

// an object to hold the polymorphic model
struct handle
    // the concept that defines the operations on the model
    struct concept {
        // rule of 5 when virtual destructors are involved...
        concept() = default;
        concept(const concept&) = default;
        concept(concept&&) = default;
        concept& operator=(const concept&) = default;
        concept& operator=(concept&&) = default;
        virtual ~concept() = default;

        // cloneable concept
        virtual std::unique_ptr<concept> clone() const = 0;

        // concept's interface
        virtual int getat(int t) = 0;
        virtual int getbt(int t) = 0;
        virtual int getct(int t) = 0;

    // a model models the concept, by deriving from any number of discrete parts
    struct model : concept, Parts...
        : Parts(std::move(parts))...

        model(const model&) = default;

        // model the clone op
        std::unique_ptr<concept> clone() const override {
            return std::make_unique<model>(*this);

        // defer to impl functions (see above) for the calculations
        int getat(int t) override { return impl_getat(*this, t); }
        int getbt(int t) override { return impl_getbt(*this, t); }
        int getct(int t) override { return impl_getct(*this, t); }

    std::unique_ptr<concept> _impl;

    // interface - note: not polymorphic, so we can be stored in a container
    int getat(int t) { return _impl->getat(t); }
    int getbt(int t) { return _impl->getbt(t); }
    int getct(int t) { return _impl->getct(t); }

    // constructor - construct from parts
    : _impl(std::make_unique<model<std::decay_t<Parts>...>>(std::move(parts)...))

    // let's make it copyable

    handle(const handle& r)
    : _impl(r._impl->clone())
    // rule of 5 because we meddled with the copy constructor...

    handle(handle&& r) : _impl(std::move(r._impl)) {}

    handle& operator=(const handle& r) {
        _impl = r._impl->clone();
        return *this;

    handle& operator=(handle&& r) = default;


int main()
    std::vector<handle> v;
    v.emplace_back(has_a{10}, has_b{12});
    v.emplace_back(has_a{1}, has_b{2}, has_c {3});

    int aa = 1;
    for (auto& x : v)
        std::cout << x.getat(aa) << std::endl;
        std::cout << x.getbt(aa) << std::endl;
        std::cout << x.getct(aa) << std::endl;
        std::cout << std::endl;

    // prove it's copyable etc

    auto y = v.back();
    std::cout << y.getat(aa) << std::endl;
    std::cout << y.getbt(aa) << std::endl;
    std::cout << y.getct(aa++) << std::endl;
    std::cout << std::endl;

    // and moveable

    y = handle(has_a{4}, has_b{5}, has_c{6});
    std::cout << y.getat(aa) << std::endl;
    std::cout << y.getbt(aa) << std::endl;
    std::cout << y.getct(aa++) << std::endl;
    std::cout << std::endl;





What kind of data structure is suitable for facebook-model users

Tag : cpp , By : Jody Bannon
Date : March 29 2020, 07:55 AM
help you fix your problem Your input data looks well suited to a key, value data structure like std::unordered_map (https://en.cppreference.com/w/cpp/container/unordered_map)
Where the id value could act as the key to store and retrieve the User data structure.

libvirtError: XML error: expected unicast mac address, found multicast

Tag : ubuntu , By : Ravenal
Date : March 29 2020, 07:55 AM
I wish did fix the issue. I'm setting up KVM automation via ansible and I have one VM which keeps giving me this error: ,
Best I can tell this is NOT a multicast mac address...
0   1   0   1   0   0   1   1
                        ^   ^
                        |   |
                       U/L I/G
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