A Python module to test dicts in a declarative way

Make multi-threaded pytest test cases fail when they should

Safe and composable assert for Python that can be used together with optimised mode

pyutil -- a library of useful Python functions and classes

Test if a numeric value is a probability.

Test if a single-precision floating-point numeric value is NaN.

Test if a numeric value is a positive finite number.

A fast python unit-testing framework which supports safe, encapsulated parallel execution of tests, unlike other frameworks which share states between tests, and intuitive setup/teardown methodology

Test if a double-precision floating-point numeric value is infinite.

Test if a numeric value is a nonpositive finite number.

Test if a 32-bit integer is odd.

Test whether an unsigned integer is a power of 2.

Test if a finite double-precision floating-point number is a positive integer.

Test if a double-precision floating-point numeric value is positive zero.

Test if a single-precision floating-point numeric value is positive zero.

Assert that two Node-API data types are equal.

Test if a double-precision floating-point numeric value is finite.

Test if a finite numeric value is an odd number.

Assert that a Node-API value has a specified property.

Test if a double-precision floating-point numeric value is NaN.