Result for 51F5AEF2A889B7A045D6271B18773650ABFA0171

Query result

Key Value
FileName./usr/lib/python3.6/site-packages/scspell3k-2.2-py3.6.egg-info/PKG-INFO
FileSize14356
MD59511C20AFB3B51210A11C1257C319E67
SHA-151F5AEF2A889B7A045D6271B18773650ABFA0171
SHA-2568BDB4A57B913E2052C230C2F52151CFE1597567F6AF67CACF5B307FE79A84553
SSDEEP192:HfLWe0fwGBdWqXSMdji2l3CFtBgRp4BfYVKqYLj39/VFd/jwiapn+mJ:HfLWeIwGBrOQ3CF0R2VYAqYHvX/8nz
TLSHT1205261173EC133B253874E711A4AD296D221827F27332854349DA19C2F36760AAFF6DA
hashlookup:parent-total32
hashlookup:trust100

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Parents (Total: 32)

The searched file hash is included in 32 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5C350261416B7F71D38D95E5DBA1BDA54
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
PackageReleaselp152.18.7
PackageVersion2.2
SHA-1045953A0478CB47DFBBA4E094260B133F6A8339F
SHA-256DDCF09BD640173676221258D845B974FC97CF31B679D4E8AC1D553D8C644E619
Key Value
MD592F8F2ECA974DD46587EDA93923F1477
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
PackageRelease18.5
PackageVersion2.2
SHA-10D563B275CF68E0D88B9D20E6153A1E28BAE082B
SHA-256FE01F153D41768FF9D2290597ECDFE2A1E177E8C2C635277C31255C71CC04FE7
Key Value
MD5DCAF72489937DCB1972EB7B26E8CC0DB
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
PackageRelease18.5
PackageVersion2.2
SHA-11500B66A22BE330F391B49B1E7E166EEE62AB164
SHA-25693C9F40713A4E25298FB8330A49FB8A473BC3C5C62E01EA56868883E79CBA481
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
MD5D40993803FB57D407435DD8CCC838E82
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
PackageReleaselp151.18.1
PackageVersion2.2
SHA-133919BA660260F73E4575830F3BADD6E9349FB27
SHA-2563B6B2FD8888BE72A66505950D5522706EC05C948AB62CE257B2EE1AC209EAFF4
Key Value
MD503D634D2B800D36B8F9EEE1471E49B9C
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
PackageRelease18.5
PackageVersion2.2
SHA-1378FA706C29F0892BDB0BE33392B7F81646A4777
SHA-2562AD39BF3C8F786AF0407E158BCCCAA10E28EA2B297128D865E5A09F4922237B5
Key Value
MD5CA405AA1145D3B8711CC25731F54E860
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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-scspell3k
PackageReleaselp151.1.1
PackageVersion2.2
SHA-137D72C38648449E81D43F0320429CE1B007D4A9C
SHA-2560052218026AF5516EAAE9FA2B65331DFC1777ECA18643C83E3746257818E042C
Key Value
MD5200228F734B8A2C3E9B581F6B4D4BAF5
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
PackageRelease5.7
PackageVersion2.2
SHA-143A1FCEAF62D6838A8728F941254411A45EAFFB5
SHA-256B8A3182A945E4F02E78CFA6572CD2591CDB0FC542D8A2B746FA95B9DD28D1001
Key Value
MD5F93AB8A94B310B2BA3209851B2962F34
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
PackageReleaselp150.2.1
PackageVersion2.2
SHA-14AA6C5DB12E52EC0BFCE9D532C7C339C85F68D20
SHA-256F091C5C59C100BFDF1C25B303DB7543DCEBA386CBD5A54B420C11018E9EC0B2B
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