Result for 0AFF815E0D6B0A2422F7500D604DB38ED7D6474E

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/scspell/__pycache__/_portable.cpython-39.pyc
FileSize1696
MD591794397635F1439973E9C6A74FE1BF7
SHA-10AFF815E0D6B0A2422F7500D604DB38ED7D6474E
SHA-256FC5E056E105305F414908D064DA508D897D97B347EE543348DC0CD971E83EC6F
SSDEEP48:eQPqT8dF16fxEe4wClMe/np+sMzonaydKfBPRG2wXJ/dP:eyqwdGiX/np+ss5yiZRQXtdP
TLSHT1BD3153C04D46667CFD28F2B8514A42608231977B228E525BBE60D5BE2DC718B2C25A84
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD511A2FDC1F05A47C2330BE651094164DD
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.
PackageNamepython39-scspell3k
PackageRelease18.16
PackageVersion2.2
SHA-1DFAB858FCC86F5469BC7645120B3A0B37C0238E7
SHA-25657796B728B5EF911973195F045DBF69EC8C5EF02045A43DFD316616711EE4A8F
Key Value
MD5ADF3D272E1F915717000CBFD1AC673A1
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.
PackageNamepython39-scspell3k
PackageRelease18.17
PackageVersion2.2
SHA-18FA87F759AC6D4AB1711A35FD9D9C5FE16A7F757
SHA-256081C26E627C019F5290B8FEDC30DD3C1FE99C29FA954BF61075D5BD46E85E095
Key Value
MD5571D31EC80A193E863639CCD72DFF6AB
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.
PackageNamepython39-scspell3k
PackageRelease4.4
PackageVersion2.2
SHA-16B0A7C75F71AB1CC5BA027E30208388DC430966D
SHA-2560C9531066D9F98DA9E25965B4DEBD4FA91046B740D19A569BE1A2B2DF4A402AF