Interval Dictionary will provide developers witha specialized collection for rapid, efficient interval associated value retrieval rather than keys.
Interval Dictionary helps you with O(log n) retrieval by self-balanced AVL-tree architecture as well as generic interval bounds that support any comparable and equatable type.
Interval Dictionary Crack + [Mac/Win]
Interval Dictionary Serial Key is a generalized collection which allows you to associate any value to arbitrary predefined interval which can be defined as the range of a comparable and equatable type. The implementation follows a balanced self-balanced AVL-tree for efficient O(log n) retrieval. Interval Dictionary Download With Full Crack also supports optional interval bounds which are customizable and can be accessed via generic interval bounds. Interval Dictionary is perfect for the cases when you need to associate interval to the value rather than key.
Using Interval Dictionary:
// Generic Interval Dictionary
interval_dictionary dict;
assert(dict.contains(5)); // Should not be empty
assert(dict.contains(3.14f)); // Should not be empty
assert(dict.contains(0.5)); // Should be empty
assert(!dict.contains(1.5)); // Should be empty
assert(!dict.contains(-10.5)); // Should be empty
assert(!dict.contains(10.5)); // Should be empty
assert(dict.contains(-2.0)); // Should be empty
assert(!dict.contains(2.0)); // Should be empty
assert(!dict.contains(15)); // Should be empty
assert(!dict.contains(15.1)); // Should be empty
assert(!dict.contains(15.1f)); // Should be empty
assert(!dict.contains(15.2)); // Should be empty
assert(!dict.contains(23)); // Should be empty
assert(!dict.contains(2.23)); // Should be empty
assert(!dict.contains(-2.23)); // Should be empty
assert(!dict.contains(1.23)); // Should be empty
assert(!dict.contains(-0.43)); // Should be empty
assert(!dict.contains(0.43)); // Should be empty
assert(!dict.contains(0.43f)); // Should be empty
assert
Interval Dictionary Download [32|64bit]
Original project
– [GitHub](
– [Download](
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Interval Dictionary
# Interval Dictionary is an interval based dictionary with logarithmic retrieval time.
#
# Using it instead of traditional object based dictionaries is recommended if you have to have a retrieval time proportional to the amount of elements.
# The dictionary’s implementation is based on an AVL-tree.
#
# The binary tree has one-way inversion security, therefore, it is quite safe against common attacks.
#
# The AVL-tree is implemented by using self-balanced binary search trees.
# The general idea of the binary search trees is that, during the insertion process, when the object to be inserted has been already divided into two sub-objects, and one of these sub-objects is under the level of the root node, then the root node should be removed, and one node at the level of the root node is used as the new root node.
# Each node has the corresponding left and right child nodes in the AVL-tree.
#
# Therefore, during the insertion process, the root node will be removed only when it is not under the level of the root node.
#
# The nodes are organized in levels, from which the left and right child nodes are determined.
# The first level is the top level of the tree.
# The bottom level is the level at which the root node is located.
# The other levels in between are called levels.
#
# Each level has a corresponding left child and right child node.
# A level with an even number of nodes is an even level, otherwise an odd level.
#
# At each level of the tree, there is a minimum and maximum number of nodes allowed.
#
# For example, in the case of the first level, the number of nodes is one, in the second level, the number of nodes is two, and in the third level, the number of nodes is four.
#
# Each level of the tree is structured as follows:
#
# * Every node is a node of type *Node.
#
# * Every node except the
What’s New In?
Interval Dictionary is a specialized collection of values such as strings, dates,
integers, decimals, floats etc.
Interval Dictionary provides a specialized collection for rapid, efficient interval associated value retrieval, rather than keys.
Interval Dictionary supports any comparable and equatable type of interval value, i.e. any value,
that can be compared and equatable as string, date, integer, float etc. by a provided method intervalValue.
References:
* [Interval Dictionary – C++ code and API Documentation](
* [Interval Dictionary – C++ data structure and algorithms](
## Quick Start
#include
#include
using namespace ALYas::DataStructures;
//Initialize interval dictionary by providing interval bounds for each key
IntervalDictionary* dictionary = new IntervalDictionary();
dictionary->bounds = {1, 2, 3, 4};
//Retrieve a value for a given key by provided range of interval bounds
Interval value = dictionary->getInterval(1.5, 2.5);
//Provide new value for a given key
dictionary->setInterval(1.3, 2.5, “a new value”);
//Reload entire dictionary with new interval bounds
dictionary->bounds = {1.3, 2.5};
//Iterate over all values with provided range of interval bounds
for(const auto& value : dictionary->values(2.5, 3.5))
{
//Print value
std::cout getInterval(3.5, 3.9).intervalValue
#
System Requirements:
Minimum:
OS: Windows 10 or later
Windows 10 or later Processor: Intel Core i3 or AMD equivalent
Intel Core i3 or AMD equivalent Memory: 4GB RAM
4GB RAM Hard Disk: 100GB available space
100GB available space Graphics: DirectX 11
Recommended:
Windows 10 or later Processor: Intel Core i5 or AMD equivalent
Intel Core i5 or AMD equivalent Memory: 8GB RAM
8GB RAM Hard Disk: 100GB available space
100GB
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