Function test method and device, electronic equipment and storage medium

Abstract

The invention provides a function test method and device, electronic equipment and a storage medium. The method comprises the steps that a calculation instruction of a test formula used during target function testing is responded, N sets of target time sequence data are obtained from N types of data sources, the N types of data sources are data sources corresponding to time sequence data needed in the test formula, and N is an integer larger than zero; constructing each group of target time sequence data into a data matrix with a preset data sampling frequency and preset sampling starting time according to the preset data sampling frequency, and obtaining N data matrixes; processing the N data matrixes according to a coordinate mapping relation among sampling coordinates of the N types of data sources so as to assimilate a logic structure of data in the N data matrixes; performing operation on the data in the assimilated N data matrixes according to a test formula to obtain an operation result; and when the operation result is within a preset numerical range, determining that the target function test passes. According to the method, the back test result of the game function is more accurate.

Description

technical field [0001] The present application relates to data processing technology, in particular to a function testing method and its device, electronic equipment and storage medium. Background technique [0002] Time series data refers to data indexed in time order. For example, the coordinate sequence (x1, y1, t1), (x2, y2, t2), (x3, y3, t3) ... (xn, yn, tn) corresponding to the trajectory of the game character is a set of time series data, where (x , y) represents the map coordinate of the character, and t is the time when the character arrives at the coordinate. Heterogeneous refers to different sampling frequencies or logical structures of time series data. Among them, the logical structure is a concept in mathematical meaning. For example, when describing the trajectory of a game character, some time-series data uses a Cartesian coordinate system, and some time-series data uses a polar coordinate system. This situation can be called the time-series data in logic ...

AI Technical Summary

Problems solved by technology

For example, backtesting the numerical results of the combat algorithm requires the use of field data, player data, and weather data in the game. The sampling frequency of these data is not necessarily the same, so it is impossible to directly perform verification calculations

[0004] Generally, the existing technology can only filter time series data belonging to the same data source from a large amount of time series heterogeneous data, and use these time series data belonging to the same data source for functional backtesting, and cannot perform a large amount of time series heterogeneous data to process

This will cause the game's functional backtest results to be inaccurate.

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