Skip a Particular Test Method in TestNG

Debomita Bhattacharjee
Updated on 19-Nov-2021 12:15:52

1K+ Views

We can skip a particular test method in TestNG. To overlook a particular test method from execution in TestNG enabled helper attribute is used. This attribute has to be set to false to overlook a test method from execution. Code Implementation of Java class file.@Test(enabled=false) public void verifyRepay(){ System.out.println("Repayment successful"); } @Test public void Login(){ System.out.println("Login is successful "); } @Test public verifyHistory(){ System.out.println ("History verification is successful"); }Here the verifyRepay() method shall be overlooked during execution.

Group Test Cases in Pytest

Debomita Bhattacharjee
Updated on 19-Nov-2021 12:14:41

1K+ Views

We can group test cases in Pytest. Pytest is a test framework in python. To install pytest, we need to use the command pip install pytest. After installation, we can verify if python has been installed by the command pytest – version. The version of pytest shall be known.Pytest can be used for creating and executing test cases. It can be used in a wide range of testing API, UI, database, and so on. The test file of pytest has a naming convention that it starts with test_ or ends with _test keyword and every line of code should be ... Read More

What is Numerosity Reduction?

Ginni
Updated on 19-Nov-2021 12:13:42

2K+ Views

In the Numerosity reduction, the data volume is reduced by choosing an alternative, smaller form of data representation. These techniques may be parametric or nonparametric. For parametric methods, a model is used to estimate the data, so that only the data parameters need to be stored, instead of the actual data, for example, Log-linear models. Non-parametric methods are used for storing a reduced representation of the data which include histograms, clustering, and sampling.There are the following techniques of numerosity reduction which are as follows −Regression and Log-Linear Models − These models can be used to approximate the given data. In ... Read More

What is Dimensionality Reduction

Ginni
Updated on 19-Nov-2021 12:12:03

3K+ Views

In dimensionality reduction, data encoding or transformations are applied to obtain a reduced or “compressed” representation of the original data. If the original data can be reconstructed from the compressed data without any failure of information, the data reduction is known as lossless. If data reconstructed is only approximated of the original data, then the data reduction is called lossy.There are two methods of lossy reduction which are as follows −Wavelet Transforms − The discrete wavelet transform (DWT) is a linear signal processing technique that, when applied to a data vector X, transforms it to a numerically different vector, X’, ... Read More

What are Fixtures in Pytest

Debomita Bhattacharjee
Updated on 19-Nov-2021 12:10:34

337 Views

The fixtures are methods that shall execute before each test method to which it is associated in pytest. Pytest is a test framework in python. To install pytest, we need to use the command pip install pytest. After installation, we can verify if python has been installed by the command pytest –version. The version of pytest shall be known.Pytest can be used for creating and executing test cases. It can be used in a wide range of testing API, UI, database, and so on. The test file of pytest has a naming convention that it starts with test_ or ends ... Read More

Basic Method of Attribute Subset Selection

Ginni
Updated on 19-Nov-2021 12:10:26

4K+ Views

Attribute subset selection decreases the data set size by eliminating irrelevant or redundant attributes (or dimensions). Attribute subset selection aims to discover a minimum set of attributes such that the resulting probability distribution of the data classes is as close as applicable to the original distribution accessing using all attributes. Data mining on a reduced set of attributes has an extra benefit. It reduces the multiple attributes occurring in the discovered patterns, provides to create the patterns simpler to understand.For n attributes, there are 2n possible subsets. An exhaustive search for the optimal subset of attributes can be intensely expensive, ... Read More

Exclude a Test from Execution in Pytest

Debomita Bhattacharjee
Updated on 19-Nov-2021 12:09:05

6K+ Views

We can exclude a test from execution in Pytest. Pytest is a test framework in python. To install pytest, we need to use the command pip install pytest. After installation, we can verify if python has been installed by the command pytest –version. The version of pytest shall be known.Pytest can be used for creating and executing test cases. It can be used in a wide range of testing API, UI, database, and so on. The test file of pytest has a naming convention that it starts with test_ or ends with _test keyword and every line of code should ... Read More

Execute Selected Test from a Collection of Tests in Pytest

Debomita Bhattacharjee
Updated on 19-Nov-2021 12:04:57

693 Views

We can execute a selected test from a collection of tests in Pytest. Pytest is a test framework in python. To install pytest, we need to use the command pip install pytest. After installation, we can verify if python has been installed by the command pytest –version. The version of pytest shall be known.Pytest can be used for creating and executing test cases. It can be used in a wide range of testing API, UI, database, and so on. The test file of pytest has a naming convention that it starts with test_ or ends with _test keyword and every ... Read More

What is Data Reduction?

Ginni
Updated on 19-Nov-2021 12:03:55

6K+ Views

Data mining is applied to the selected data in a large amount database. When data analysis and mining is done on a huge amount of data then it takes a very long time to process, which makes it impractical and infeasible. It can reduce the processing time for data analysis, data reduction techniques are used to obtain a reduced representation of the dataset that is much smaller in volume by maintaining the integrity of the original data. By reducing the data, the efficiency of the data mining process is improved which produces the same analytical results.Data reduction aims to define ... Read More

What is Data Transformation

Ginni
Updated on 19-Nov-2021 12:02:33

2K+ Views

In data transformation, the data are transformed or combined into forms suitable for mining. Data transformation can involve the following −Smoothing − It can work to remove noise from the data. Such methods contain binning, regression, and clustering.Aggregation − In aggregation, where summary or aggregation operations are applied to the data. For example, the daily sales data may be aggregated to compute monthly and annual total amounts. This phase is generally used in making a data cube for the analysis of the data at multiple granularities.Generalization − In Generalization, where low-level or “primitive” (raw) data are restored by larger-level concepts ... Read More

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