Result for 7694BC2C074E05EE762CCB730F1B20A754B32A55

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/scspell/__pycache__/_util.cpython-38.pyc
FileSize1733
MD5DC3011AC77BDB794541CAB34D42B52B9
SHA-17694BC2C074E05EE762CCB730F1B20A754B32A55
SHA-2561FEFE77B2873E3D145B8A95A054069FC5C41F06C8034D9E5ADC16A4345ED6444
SSDEEP24:WjjSc1CX0huGv19SXK2KCCVoPwFu2Vna/lUlMxP20/GpYaa4TTAhroBFxEbcz2Jk:0n1gXKAriVilpP/oY7gd3z2JJj+n
TLSHT15E3142D5E7058FBDFE54F5B4D18EA764526097FF2589F9433B5850EE2D0938088214EC
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD50A07C2634E1B47A8CD132A3E1BB2BBDE
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
PackageRelease2.3
PackageVersion2.2
SHA-11DAA2D0B8234C61E0BE2675286356DD97AF9B84B
SHA-25656DFF6F625F137C889A2E92928B1180C0E870A382A1403EAFB13A3BA6218716F
Key Value
MD519305293972222265DBF3DA72DFE4159
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.
PackageNamepython38-scspell3k
PackageRelease18.16
PackageVersion2.2
SHA-1E11B4772506489047C89059D9184693E2799AA51
SHA-256E1CBF65ACB1C236557E161D51B6944375126EC40629F08EFD72E3E209B3BC96C
Key Value
MD5A026FF6B2B790C01D6D1FDF4BD641C66
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.
PackageNamepython38-scspell3k
PackageRelease18.17
PackageVersion2.2
SHA-185CF66CDB67F7099D46B0C42C91AF9D46D806E06
SHA-256D7D9F9A5C9D1804DFCBC1C4D62E030DD32D4B159B1B101FCC0C6738E4614592B
Key Value
MD5B1AA3E06AC0CE45FCAAF2BAAEB56F35F
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.
PackageNamepython38-scspell3k
PackageRelease4.4
PackageVersion2.2
SHA-1775B79606B86AFA06D311FCE385AFB2A0704545A
SHA-25647DE9577129652A4B5BB88B1D9CC89FA05A3D6F7EB9FD6E3740C8F540B0EF596