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In general, this can significantly reduce the application code, reduce later maintenance costs, and improve the software writing skills of programmers. Version numbering A very common solution to this problem is to have a standardized numbering system, wherein software uses a specific number for each version (aka major version ), and also a ...
Sipgate uses this code if an account does not have sufficient funds to start a call. [13] Shopify uses this code when the store has not paid their fees and is temporarily disabled. [14] Stripe uses this code for failed payments where parameters were correct, for example blocked fraudulent payments. [15] 403 Forbidden
One important case of hard coding is when strings are placed directly into the file, which forces translators to edit the source code to translate a program. (There is a tool called gettext that permits strings to be left in files, but lets translators translate them without changing the source code; it effectively de-hard codes the strings.)
The Reed–Solomon code is actually a family of codes, where every code is characterised by three parameters: an alphabet size , a block length, and a message length, with <. The set of alphabet symbols is interpreted as the finite field F {\displaystyle F} of order q {\displaystyle q} , and thus, q {\displaystyle q} must be a prime power .
On Linux, Google Chrome/Chromium can store passwords in three ways: GNOME Keyring, KWallet or plain text. Google Chrome/Chromium chooses which store to use automatically, based on the desktop environment in use. [143] Passwords stored in GNOME Keyring or KWallet are encrypted on disk, and access to them is controlled by dedicated daemon software.
The --cacert option can be used to specify the location of the CA certificate store file. In the Windows platform, if a CA certificate file is not specified, curl will look for a CA certificate file name “curl-ca-bundle.crt” in the following order: Directory where the curl program is located. Current working directory. Windows system directory.
Word2vec is a group of related models that are used to produce word embeddings.These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words.
In principle, you'd write a program that simulated a browser connection to fetch information from a web site, perhaps using URLs you list in advance, or a web spidering system. Then you'd parse the HTML, assuming unchanging formats, to get the book info and rank. Then analysing it would be easy.