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
FileSize	107924
MD5	96EB2B0444C86A78B100C7E17380720C
PackageDescription	extension for computing string similarities and edit distances(py3k debug ext) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains the extensions built for the Python 3 debug interpreter.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python3-levenshtein-dbg
PackageSection	debug
PackageVersion	0.12.0-2+b2
SHA-1	C4C1E13F453A5C52C5012C74BC3AB7F8ECE99494
SHA-256	D96C00B01D1150759737975A14C80F49D15D089D2D7BAD2606FE57B30C6436CB

Key	Value
FileSize	31820
MD5	B195DBD5485C4702B97E58869808DDA9
PackageDescription	extension for computing string similarities and edit distances (Python 3) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains Levenshtein for Python 3.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python3-levenshtein
PackageSection	python
PackageVersion	0.12.0-2+b2
SHA-1	9082EE3A1769CEC67193C1561100BED4E653BE0F
SHA-256	5F7EE75D687A52267F34571F41B302A07EE209FC0B8FB3E6395E76D7E1D39738

Key	Value
FileSize	84162
MD5	6548B0C5318893B08546D411A54E9DA3
PackageDescription	extension for computing string similarities and edit distances(debug extension) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains the extensions built for the Python debug interpreter.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python-levenshtein-dbg
PackageSection	debug
PackageVersion	0.12.0-2+b2
SHA-1	16312BFF7832DDDB68401A23FDAAE06116BDB44D
SHA-256	5E48920B8FEC686A77C3BAD5B3E92CDF64FB7ECB94D520414C21B0FF37D15188

Key	Value
FileSize	34498
MD5	287A4C12D8AC220CE9DE56B65C9B1E08
PackageDescription	extension for computing string similarities and edit distances The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python-levenshtein
PackageSection	python
PackageVersion	0.12.0-2+b2
SHA-1	6B69DCDC32F2EF29BDE7DD271480AE1DC8510A4B
SHA-256	C592C446ABB3C20D0AF17A83FCDDE0F1B5202D7E925A24EFCFE5049CBF39171A