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Functions declared as pytest fixtures are marked by the @pytest.fixture decorator, whose names can then be passed into test functions as parameters. [12] When pytest finds the fixtures' names in test functions' parameters, it first searches in the same module for such fixtures, and if not found, it searches for such fixtures in the conftest.py ...
Data-driven testing (DDT), also known as table-driven testing or parameterized testing, is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded.
TPT test documentation according to IEEE 829 presents the result of the test evaluation to the tester in a HTML, report, in which not only the pure information "success", "failed" or "unknown" can be depicted as the test result for each test case, but also details such as characteristic parameters or signals that have been observed in the test ...
MFEM is a free, lightweight, scalable C++ library for finite element methods that features arbitrary high-order finite element meshes and spaces, support for a wide variety of discretizations, and emphasis on usability, generality, and high-performance computing efficiency.
The user can define functionally distinct groups of sections. Sections branching from one another can be labeled "dendrites," while another, single section that projects from the same central one can be labeled as the "axon." The user can define parameters along which certain values are variable as a function across a section.
Specifically, a first-order logical formula is fixed without free variables and the following decision problem is considered: Given a finite interpretation, for instance, one described as a relational database, decide whether the interpretation is a model of the formula. This problem is in the circuit class AC 0.
The W hierarchy is a collection of computational complexity classes. A parameterized problem is in the class W[i], if every instance (,) can be transformed (in fpt-time) to a combinatorial circuit that has weft at most i, such that (,) if and only if there is a satisfying assignment to the inputs that assigns 1 to exactly k inputs.
A quantile-parameterized distribution (QPD) is a probability distributions that is directly parameterized by data. They were created to meet the need for easy-to-use continuous probability distributions flexible enough to represent a wide range of uncertainties, such as those commonly encountered in business, economics, engineering, and science.