Introduction to nrptest

The nrptest library is a powerful and versatile tool designed to cater to numerous testing and development needs. It provides a wide array of APIs that simplify the creation, management, and execution of tests in modern development workflows.

Getting Started with nrptest

Before diving into the APIs, make sure to install the library using:

pip install nrptest

API Examples

Below are some example APIs provided by nrptest along with their explanations and usage:

1. create_test_suite

Creates a new test suite.

from nrptest import create_test_suite

suite = create_test_suite(name="MyTestSuite")

2. add_test_case

Adds a new test case to a test suite.

from nrptest import add_test_case

def sample_test_case():
    assert 1 + 1 == 2

add_test_case(suite, name="TestAddition", test_func=sample_test_case)

3. run_tests

Runs all test cases in a test suite.

from nrptest import run_tests

results = run_tests(suite)
print(results)

4. generate_report

Generates a report from test results.

from nrptest import generate_report

report = generate_report(results)
print(report)

Example Application with nrptest APIs

Let’s create a sample application to demonstrate the usage of nrptest APIs.

from nrptest import create_test_suite, add_test_case, run_tests, generate_report

# Define test cases
def test_addition():
    assert 1 + 1 == 2

def test_subtraction():
    assert 5 - 3 == 2

# Create test suite
suite = create_test_suite(name="SampleSuite")

# Add test cases to suite
add_test_case(suite, name="TestAddition", test_func=test_addition)
add_test_case(suite, name="TestSubtraction", test_func=test_subtraction)

# Execute tests
results = run_tests(suite)

# Generate and print report
report = generate_report(results)
print(report)

In this example, we created two basic test cases for addition and subtraction, added them to a test suite, ran the tests, and generated a report displaying the results.

With the vast array of APIs provided by nrptest, you can seamlessly integrate testing into your development process, ensuring code quality and reliability.

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