Result for 47EAB088E920B46FDFABD82FFC656CF7FBFC97A9

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/scspell/__main__.pyo
FileSize281
MD5E575D3F65829F3F0F3C58C3CE0301620
SHA-147EAB088E920B46FDFABD82FFC656CF7FBFC97A9
SHA-25602BEE7BE3679CBF2B14D412D9AE88498C0B921307EEF6627FAFD9557D774054E
SSDEEP6:g5r3rWeID07aRUXOghSWMK09Y3xmDr+Kwa1sKn:ELrZIDA8cO+SWMK0ftJGKn
TLSHT1FCD02EC0ABFA0B83DBFE2638B080411748B0A1F30E82B9832644243B1EEC315092D38A
hashlookup:parent-total14
hashlookup:trust100

Network graph view

Parents (Total: 14)

The searched file hash is included in 14 parent files which include package known and seen by metalookup. A sample is included below:

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
MD5CDA2865CF53CB9CDB8C0CD85E9926307
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
PackageReleaselp153.5.1
PackageVersion2.2
SHA-17E1E412C4DA3929F3059BD7739380DAD692C6346
SHA-256498ADBB781862CA94B228EECD0F9531E84993D990DB74C65B6491B380A938D0F
Key Value
MD5F7ADC1DFCF1F21DF5AF4A81B618CB9F3
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
PackageReleaselp152.5.8
PackageVersion2.2
SHA-18CEB308D513168396B856ADFD68F046BD010B98F
SHA-25677CB75DD03D607F396268F4C95EDA15F7635B2F936CD7C7E467769D987A6F5AB
Key Value
MD5BD4BF4B7CF916F2F77942BD9D2E99D0A
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
PackageReleaselp153.18.17
PackageVersion2.2
SHA-1BD8BFAAC359EEB3BDDE750E4B8CEC683D10FC248
SHA-2563D4FE6F89A445E79AF3FC47AE5133D14362A4BA42BA4861BFB0E52E6E2C02E53
Key Value
MD52BA62B87D8F2AB3D286F217018B346DC
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
PackageRelease18.14
PackageVersion2.2
SHA-16D9D836917EE62DC876D1F22FDED11ACBA23DFCD
SHA-256BFB97A9A71BB8D5AE574E282460C520EB44271E8D12D1080A0434F26C787552F
Key Value
MD5B1B4880117937DD44A0460C94F98B895
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
PackageReleaselp153.5.16
PackageVersion2.2
SHA-1E0A590FCEE43122B4D2CC298CB7EFEB90AF23B70
SHA-256341755A7B8C155712FF81946AF77CFE8934E1D2301BF593A1E47E74F505507A6
Key Value
MD5BF0BFFE56EEBBD5A2A9DDCF84F04FF06
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
PackageRelease5.13
PackageVersion2.2
SHA-176C9189B2454299A04DC653542BE3336E0AF306A
SHA-25600055207744BF4DD8AB0E02553EE4EADC802DB62D3F853604372806AABAF1A75
Key Value
MD51E123F9CEF98E884EB0A121663FE6E66
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
PackageRelease5.10
PackageVersion2.2
SHA-1AAC751DB41CDA2148DA6DCB80CC5755531656C8F
SHA-2569C1997C55E1E55E39CBFF657DA96166B380F08100B84C11E39795C077D5F4BA3
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
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
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
MD53340730D69C30FFAD5C5E9D170AEBFDA
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
PackageReleaselp151.5.2
PackageVersion2.2
SHA-1B4198DC75F116DAD8D0C72D8244FB00472D1D931
SHA-256BB76F02014299B5AB567ADE0C7AB71A35828293B25B2004182FFAAACE3D0F6B7
Key Value
MD5263435A5802763E31A1F8AE2DC5E2652
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
PackageReleaselp153.18.6
PackageVersion2.2
SHA-17A6C7CF2D566B409A395532154F9C9DECF59E223
SHA-256B849B526C065862FD2C455FE13AE2CFFBA7799AFA14BA2EA752261CF4F538B73
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