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  2. Universally unique identifier - Wikipedia

    en.wikipedia.org/wiki/Universally_unique_identifier

    As in other UUIDs, 4 bits are used to indicate version 4, and 2 or 3 bits to indicate the variant (10 2 or 110 2 for variants 1 and 2 respectively). Thus, for variant 1 (that is, most UUIDs) a random version 4 UUID will have 6 predetermined variant and version bits, leaving 122 bits for the randomly generated part, for a total of 2 122 , or 5.3 ...

  3. Strongly typed identifier - Wikipedia

    en.wikipedia.org/wiki/Strongly_typed_identifier

    Python has data classes which provides equality testing and can be made immutable using the frozen parameter. [21] It overrides the __str__ dunder method. [22] This example implementation includes a static method which can be used to initialize a new instance with a randomly generated universally unique identifier (UUID).

  4. Unique identifier - Wikipedia

    en.wikipedia.org/wiki/Unique_identifier

    The above methods can be combined, hierarchically or singly, to create other generation schemes which guarantee uniqueness. [2] In many cases, a single object may have more than one unique identifier, each of which identifies it for a different purpose.

  5. pytest - Wikipedia

    en.wikipedia.org/wiki/Pytest

    Pytest is a Python testing framework that originated from the PyPy project. It can be used to write various types of software tests, including unit tests, integration tests, end-to-end tests, and functional tests. Its features include parametrized testing, fixtures, and assert re-writing.

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  7. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Numeric literals in Python are of the normal sort, e.g. 0, -1, 3.4, 3.5e-8. Python has arbitrary-length integers and automatically increases their storage size as necessary. Prior to Python 3, there were two kinds of integral numbers: traditional fixed size integers and "long" integers of arbitrary size.

  8. All-pairs testing - Wikipedia

    en.wikipedia.org/wiki/All-pairs_testing

    In most cases, a single input parameter or an interaction between two parameters is what causes a program's bugs. [2] Bugs involving interactions between three or more parameters are both progressively less common [3] and also progressively more expensive to find, such testing has as its limit the testing of all possible inputs. [4]

  9. Unit testing - Wikipedia

    en.wikipedia.org/wiki/Unit_testing

    Unit testing, a.k.a. component or module testing, is a form of software testing by which isolated source code is tested to validate expected behavior. [ 1 ] Unit testing describes tests that are run at the unit-level to contrast testing at the integration or system level.