Result for 58C64E9E236DD7A00E222C576CD5FE8B23242144

Query result

Key Value
FileName./usr/lib/python3.6/site-packages/scspell/data/dictionary.txt
FileSize856511
MD58C558FC57C85A3876E5B3F446D928556
SHA-158C64E9E236DD7A00E222C576CD5FE8B23242144
SHA-256F988A30C399DFC8BD12F2A318F4202FE2A78599BD24FA3C095329395B558B5E1
SSDEEP12288:RZPLpMzmeSBSP8orW8AmAfOP8GXojRUO5IEuij8T2flMVJ+DQzU0MTxzTWzAdxjr:jz1noxJ+D/xzTW8xDBhl
TLSHT122050A60EA24353FDB8717DEC8642F83016485221B2570ADF6DE1249590BF9E47AEE3F
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5CDBE8ADB9A9FC8DFE9577030B18A03D2
PackageArchnoarch
PackageDescriptionScspell is a spell checker for source code. This is an unofficial fork (of https://launchpad.net/scspell) that runs on both Python 2 and 3. Scspell does not try to be particularly smart--rather, it does the simplest thing that can possibly work: 1. All alphanumeric strings (strings of letters, numbers, and underscores) are spell-checked tokens. 2. Each token is split into one or more subtokens. Underscores and digits always divide tokens, and capital letters will begin new subtokens. In other words, ``some_variable`` and ``someVariable`` will both generate the subtoken list {``some``, ``variable``}. 3. All subtokens longer than three characters are matched against a set of dictionaries, and a match failure prompts the user for action. When matching against the included English dictionary, *prefix matching* is employed; this choice permits the use of truncated words like ``dict`` as valid subtokens. When applied to code written in most popular programming languages while using typical naming conventions, this algorithm will usually catch many errors without an annoying false positive rate. In an effort to catch more spelling errors, Scspell is able to check each file against a set of dictionary words selected *specifically for that file*. Up to three different sub-dictionaries may be searched for any given file: 1. A natural language dictionary. (Scspell provides an American English dictionary as the default.) 2. A programming language-specific dictionary, intended to contain oddly-spelled keywords and APIs associated with that language. (Scspell provides small default dictionaries for a number of popular programming languages.) 3. A file-specific dictionary, intended to contain uncommon strings which are not likely to be found in more than a handful of unique files.
PackageNamepython2-scspell3k
PackageRelease3.1
PackageVersion2.1
SHA-15BE774250BF57BA383FD55483A06AD22133F14A8
SHA-256D0EAE6F910D209711EBD584E0583FB907AE79D0E779DB72896382AA3C7985FAE
Key Value
MD5433971E1D8961A7ED17D51AAA0E39498
PackageArchnoarch
PackageDescriptionScspell is a spell checker for source code. This is an unofficial fork (of https://launchpad.net/scspell) that runs on both Python 2 and 3. Scspell does not try to be particularly smart--rather, it does the simplest thing that can possibly work: 1. All alphanumeric strings (strings of letters, numbers, and underscores) are spell-checked tokens. 2. Each token is split into one or more subtokens. Underscores and digits always divide tokens, and capital letters will begin new subtokens. In other words, ``some_variable`` and ``someVariable`` will both generate the subtoken list {``some``, ``variable``}. 3. All subtokens longer than three characters are matched against a set of dictionaries, and a match failure prompts the user for action. When matching against the included English dictionary, *prefix matching* is employed; this choice permits the use of truncated words like ``dict`` as valid subtokens. When applied to code written in most popular programming languages while using typical naming conventions, this algorithm will usually catch many errors without an annoying false positive rate. In an effort to catch more spelling errors, Scspell is able to check each file against a set of dictionary words selected *specifically for that file*. Up to three different sub-dictionaries may be searched for any given file: 1. A natural language dictionary. (Scspell provides an American English dictionary as the default.) 2. A programming language-specific dictionary, intended to contain oddly-spelled keywords and APIs associated with that language. (Scspell provides small default dictionaries for a number of popular programming languages.) 3. A file-specific dictionary, intended to contain uncommon strings which are not likely to be found in more than a handful of unique files.
PackageNamepython3-scspell3k
PackageRelease3.1
PackageVersion2.1
SHA-15C459A81B17A042B99894FC3F307F56E9A966481
SHA-2569C37871B835746B91A72E865715F498BF0E2901AB607E8827D7C4F4CAEDF3C07