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Shows S.M.A.R.T. attributes Hard drive self-testing Notification Notes AIDA64: Windows: Trialware [1] GUI IDE(PATA), SATA, NVMe eSATA, USB Some RAID controllers Yes No Monitoring only available in the Business Edition [2]
Another example of software that shows the health of the drive and its smart attributes. This Intel 120GB SSD also appears to be in perfect condition. [2] Self-Monitoring, Analysis, and Reporting Technology (S.M.A.R.T. or SMART) is a monitoring system included in computer hard disk drives (HDDs) and solid-state drives (SSDs). [3]
reStructuredText (RST, ReST, or reST) is a file format for textual data used primarily in the Python programming language community for technical documentation.. It is part of the Docutils project of the Python Doc-SIG (Documentation Special Interest Group), aimed at creating a set of tools for Python similar to Javadoc for Java or Plain Old Documentation (POD) for Perl.
In computing, text attributes (in the sense of attributes of a text) are some data associated with particular chunks of text, except of its characters itself. Say, something more than a plain text. See formatted text for text attributes in word processing. See HTML#Elements and HTML attribute about text attributes in HTML.
The otherwise binary Wang VS machine supported a 64-bit decimal floating-point format in 1977. [2] The Motorola 68881 supported a format with 17 digits of mantissa and 3 of exponent in 1984, with the floating-point support library for the Motorola 68040 processor providing a compatible 96-bit decimal floating-point storage format in 1990. [2]
Introduced in Python 2.2 as an optional feature and finalized in version 2.3, generators are Python's mechanism for lazy evaluation of a function that would otherwise return a space-prohibitive or computationally intensive list. This is an example to lazily generate the prime numbers:
NumPy (pronounced / ˈ n ʌ m p aɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3]
This gives from 33 to 36 significant decimal digits precision. If a decimal string with at most 33 significant digits is converted to the IEEE 754 quadruple-precision format, giving a normal number, and then converted back to a decimal string with the same number of digits, the final result should match the original string.