Key | Value |
---|---|
FileSize | 447210 |
MD5 | 31B8C68F007D1AE41350517E11E1536D |
PackageDescription | Python module for PostgreSQL psycopg is a PostgreSQL database adapter for the Python programming language (just like pygresql and popy.) This is version 2, a complete rewrite of the original code to provide new-style classes for connection and cursor objects and other sweet candies. Like the original, psycopg 2 was written with the aim of being very small and fast, and stable as a rock. . psycopg is different from the other database adapter because it was designed for heavily multi-threaded applications that create and destroy lots of cursors and make a conspicuous number of concurrent INSERTs or UPDATEs. psycopg 2 also provides full asycronous operations for the really brave programmer. . The main advantages of psycopg2 are that it supports the full Python DBAPI-2.0 and being thread safe at level 2. It also includes some extensions to the standard DBAPI-2.0 to allow for better thread performance. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-psycopg2 |
PackageSection | python |
PackageVersion | 2.2.1-1ubuntu2 |
SHA-1 | 2C2A085708122371D23D36645B3C3CFD361B713C |
SHA-256 | A587ADD78E14C05771A9F87C23060E2E9FAEFCBAFCC501AD65FAE315B5985DA8 |
hashlookup:children-total | 86 |
hashlookup:trust | 50 |
The searched file hash includes 86 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-psycopg2/tests/types_basic.py.gz |
FileSize | 1586 |
MD5 | 8CD0786F771F598452B254FE1982B53D |
SHA-1 | 000E388C949E4D2FE63C44FBCE6201033EB45263 |
SHA-256 | 3EF5533F208DCD38FFE783C0DBB2262915307250579FCF7A85BE7B0F0B486BFD |
SSDEEP | 48:XsjOht434SLQJqzSZn+ggt16HSue5ugtYTvZw3r:cjqt434S8aS1Spj4vO |
TLSH | T118310A4C75A8A08BEB9257B5C6833927059B3D202013DBB3B55E9EA81F55E07C670628 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-psycopg2/doc/ChangeLog-1.x.gz |
FileSize | 17526 |
MD5 | E134F32EDC5218DDF556A1EA36E9192C |
SHA-1 | 0047FB53A6C488EE45064EE004E8BD3508D4540F |
SHA-256 | 978120B8FC47B5786CD13954FB0A4807B0166E523173A1BECA558B5A34CA34F0 |
SSDEEP | 384:TlnGg/htsJDSZ5EuwdIr15zNHU3ZxZMWK/ojjYzmlsJmp9I:T8g/hjZseDzNu36WCooClA |
TLSH | T1BC72D174E192C79417A1E2F11EDD67A7004338E7D821CF592F572C5B9B10E625E92B05 |
Key | Value |
---|---|
CRC32 | 476FC3B8 |
FileName | default.css |
FileSize | 3652 |
MD5 | 129CB011F7F010320B73E5400DB0251E |
OpSystemCode | 362 |
ProductCode | 15104 |
RDS:package_id | 15104 |
SHA-1 | 015B2547BA1CD60C631D1B10F871414E1B620825 |
SHA-256 | F274DCE291F1E5807CE1F1D459EEED3D29916C0BA424A7943E06E3BD62C39BE0 |
SSDEEP | 96:KPHL0etfyE/NixJqt/v+cGGN5V7qRj4eCFFxIHlf:ir0etft/NixJqB+cGGf7qRj4eCFH6f |
SpecialCode | |
TLSH | T1FA71AF0ADEA30D43B60BC5AA27FAC750F27C50534C8DCA3D3E59A7A48F55160527EB8C |
db | nsrl_legacy |
insert-timestamp | 1648520678.712522 |
source | RDS_2022.03.1_legacy.db |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-psycopg2/tests/test_quote.py |
FileSize | 2912 |
MD5 | ED1A9F54EFB176B8F0C12CFF9795CF9F |
SHA-1 | 04D0EB5B36241912674A785C5DACF105C79B9042 |
SHA-256 | 1CE428778968E456F4F28CE42A4A09E631858FCDA2FBDF958ED42137BD5DB1DA |
SSDEEP | 48:/ZLtFOM6ZeqVmf4W3kg7ZEhxbvbr4g7vECAhv0Ee4tGXl6c3l9gTujLoxbvM2fc:/B2MMeSmf4W3vW/TrL8jxe13zL+02U |
TLSH | T19051721AFA222E026347D88049CB211BAFAEFD5763085D15F8FD90564F192BC42F1EF8 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-psycopg2-doc-2.2.2/doc/html/connection.html |
FileSize | 29556 |
MD5 | 5B58CE2007F87A78CABED87F53EFC775 |
SHA-1 | 08E69D8854A4293EF7D9F8F4EC44C809E71A02E0 |
SHA-256 | AAD9941D74B2F1091EC3A6C7CA31E7D213CDF38EE8CBF082E1222CB08EF47E72 |
SSDEEP | 768:aojIFZLgf4IOtXSsPVk0YtJUuAQyuYuf4Y5Yq8/:aZ9txYtu5BH1EYd |
TLSH | T1DCD2732199B55A334A239AE0D1DA0F35F2F1845AF2121440F5FC83BD4BABEC2F64795B |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-psycopg2-doc-2.2.2/doc/html/usage.html |
FileSize | 50858 |
MD5 | 50DA4875D7DD5E07FD01A8354B9815B8 |
SHA-1 | 0A903DB5D40A894D23493600AC7D305540CBBE6A |
SHA-256 | C6F45ED3953BAD5E492BB7667CD98473ED506F8E434E95044E1F4F2809490A12 |
SSDEEP | 384:+of6MnqtAvEXZ37fK7yPC3Sd1S7NNOsP6J8tSEY0QrZNMsl6fs76lppylfknqRW:+ovsZL1CidwNNTy/8HTf |
TLSH | T1823399A1A5F792330577D9D291EE1BA5B1F2846AF1420440F7FC837C07DEE91B807A6A |
Key | Value |
---|---|
FileName | ./usr/share/pyshared/psycopg2-2.2.1.egg-info |
FileSize | 1677 |
MD5 | 24D8432330042F693F5700D082378487 |
SHA-1 | 0BEFD529E9FF47B0857F5B493AEE7CC4634E5EC9 |
SHA-256 | 29CA4A2172CD6F8208E07883750D3757CBB0A2BC936F1C31D660C00AB2606A93 |
SSDEEP | 24:Dp2fvlHUnSJvqEpOOfJtmd8iqf8XYpFXt9+L9lQsPLH8ucA13dQIRjTQIz:DEfvyncpBJkdfY8Ip8lP13dQIRjTQIz |
TLSH | T1DF31FE0162C0DDF245838E85121B8A86ED6E9B56AE0E394C38FD821DAF62A61D33D12C |
Key | Value |
---|---|
FileName | share/doc/py-psycopg2/src/tools/stitch_text.py |
FileSize | 1188 |
MD5 | 44878EEBB6DECC303885BA4E1CD67274 |
SHA-1 | 0FBB002FE796E8E5B731DBCC9BEF6CF9172EB73A |
SHA-256 | 75796DA4CC16F0A9C3B77FE0A27A9665DF7DF26AE832B8E8A1E197DE6795E79C |
SSDEEP | 24:O6mqfwM2PRNIlLOX1Y2Dq0V2LrKVBzZyJa/3n:TmkwMQRNIg1HFV2gpZyJavn |
TLSH | T19F21D01628509DE0E341805D5AD3D19053293C7B80067028F6FCD580EFC5486B6BF7E8 |
tar:gname | bin |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-psycopg2-doc-2.2.2/doc/html/tz.html |
FileSize | 6776 |
MD5 | 7564BABA33338C6646FD97DE56C6FBCB |
SHA-1 | 10923C33E3DE1F37F53EAC37ED56C4131AED9FF2 |
SHA-256 | 1EAC1DEB92C4199A0746C76FDD9A9B31E316837C9E0233EDBAFE74DA356DBE3F |
SSDEEP | 96:k7foyMvfMD9terUnxDA6mGea7vEwyinuiI98VZSConbIAlTYDcDr8nFDA6Q:ioVYw4nxUfsjJtgFlf4nFUR |
TLSH | T150E173215CF0AE33492B89E1D6E25F35FED2815BE3126508F4FC52199FC3E869A0764B |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-psycopg2-doc-2.2.2/doc/html/module.html |
FileSize | 30783 |
MD5 | FBA7E2A8C63063CA8CBA872F5323A06D |
SHA-1 | 10CFC8B56E4D6C0372377AE9FDDBB65CC496B67F |
SHA-256 | 54E311BA658A0273CF4D3043DC624A239CC5D1FBFB41E269B37F9047D4DAC900 |
SSDEEP | 384:ko/an9nlr9DGokD5o6UkckWM2UWY3Hlf+nhW:koiplrgUktz3WY3wM |
TLSH | T131D243115AA0BE334933D9E1D29A1F31B5D2829AF3610541B8FCC3BA0BD7D93FA17916 |