This file was obtained by applying Clone Digger tool to the source code of the Bio Python project. The fragments of code, which are cited below, are not necessary clones. Even more so the presense of this code in the project does not lead to defects in it. The code below falls under the following license: Biopython License Agreement Permission to use, copy, modify, and distribute this software and its documentation with or without modifications and for any purpose and without fee is hereby granted, provided that any copyright notices appear in all copies and that both those copyright notices and this permission notice appear in supporting documentation, and that the names of the contributors or copyright holders not be used in advertising or publicity pertaining to distribution of the software without specific prior permission. THE CONTRIBUTORS AND COPYRIGHT HOLDERS OF THIS SOFTWARE DISCLAIM ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS, IN NO EVENT SHALL THE CONTRIBUTORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
Source files:
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/home/peter/clone_digger/biopython-1.44/Bio/Std.py,
/home/peter/clone_digger/biopython-1.44/Bio/triefind.py,
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/home/peter/clone_digger/biopython-1.44/Bio/ParserSupport.py,
/home/peter/clone_digger/biopython-1.44/Bio/FormatIO.py,
/home/peter/clone_digger/biopython-1.44/Bio/Seq.py,
/home/peter/clone_digger/biopython-1.44/Bio/LogisticRegression.py,
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/home/peter/clone_digger/biopython-1.44/Bio/Blast/Applications.py,
/home/peter/clone_digger/biopython-1.44/Bio/Blast/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/Crystal/__init__.py,
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/home/peter/clone_digger/biopython-1.44/Bio/Sequencing/Ace.py,
/home/peter/clone_digger/biopython-1.44/Bio/Sequencing/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/SwissProt/SProt.py,
/home/peter/clone_digger/biopython-1.44/Bio/SwissProt/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/SwissProt/KeyWList.py,
/home/peter/clone_digger/biopython-1.44/Bio/Enzyme/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/builders/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/builders/Search/search.py,
/home/peter/clone_digger/biopython-1.44/Bio/builders/Search/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/builders/SeqRecord/sequence.py,
/home/peter/clone_digger/biopython-1.44/Bio/builders/SeqRecord/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/Statistics/lowess.py,
/home/peter/clone_digger/biopython-1.44/Bio/Statistics/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/KDTree/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/KDTree/KDTree.py,
/home/peter/clone_digger/biopython-1.44/Bio/KDTree/CKDTree.py,
/home/peter/clone_digger/biopython-1.44/Bio/Compass/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/MetaTool/metatool_format.py,
/home/peter/clone_digger/biopython-1.44/Bio/MetaTool/Record.py,
/home/peter/clone_digger/biopython-1.44/Bio/MetaTool/Input.py,
/home/peter/clone_digger/biopython-1.44/Bio/MetaTool/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/LocusLink/locus_format.py,
/home/peter/clone_digger/biopython-1.44/Bio/LocusLink/web_parse.py,
/home/peter/clone_digger/biopython-1.44/Bio/LocusLink/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/Ais/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/dbdefs/fasta.py,
/home/peter/clone_digger/biopython-1.44/Bio/dbdefs/genbank.py,
/home/peter/clone_digger/biopython-1.44/Bio/dbdefs/interpro.py,
/home/peter/clone_digger/biopython-1.44/Bio/dbdefs/prosite.py,
/home/peter/clone_digger/biopython-1.44/Bio/dbdefs/_support.py,
/home/peter/clone_digger/biopython-1.44/Bio/dbdefs/swissprot.py,
/home/peter/clone_digger/biopython-1.44/Bio/dbdefs/prodoc.py,
/home/peter/clone_digger/biopython-1.44/Bio/dbdefs/embl.py,
/home/peter/clone_digger/biopython-1.44/Bio/dbdefs/pdb.py,
/home/peter/clone_digger/biopython-1.44/Bio/dbdefs/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/dbdefs/medline.py,
/home/peter/clone_digger/biopython-1.44/Bio/HMM/DynamicProgramming.py,
/home/peter/clone_digger/biopython-1.44/Bio/HMM/Utilities.py,
/home/peter/clone_digger/biopython-1.44/Bio/HMM/Trainer.py,
/home/peter/clone_digger/biopython-1.44/Bio/HMM/MarkovModel.py,
/home/peter/clone_digger/biopython-1.44/Bio/HMM/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/AlignAce/AlignAceStandalone.py,
/home/peter/clone_digger/biopython-1.44/Bio/AlignAce/Motif.py,
/home/peter/clone_digger/biopython-1.44/Bio/AlignAce/Parser.py,
/home/peter/clone_digger/biopython-1.44/Bio/AlignAce/CompareAceStandalone.py,
/home/peter/clone_digger/biopython-1.44/Bio/AlignAce/Scanner.py,
/home/peter/clone_digger/biopython-1.44/Bio/AlignAce/Applications.py,
/home/peter/clone_digger/biopython-1.44/Bio/AlignAce/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/ECell/ecell_format.py,
/home/peter/clone_digger/biopython-1.44/Bio/ECell/Record.py,
/home/peter/clone_digger/biopython-1.44/Bio/ECell/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/writers/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/writers/SeqRecord/empty.py,
/home/peter/clone_digger/biopython-1.44/Bio/writers/SeqRecord/fasta.py,
/home/peter/clone_digger/biopython-1.44/Bio/writers/SeqRecord/embl.py,
/home/peter/clone_digger/biopython-1.44/Bio/writers/SeqRecord/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/Fasta/FastaAlign.py,
/home/peter/clone_digger/biopython-1.44/Bio/Fasta/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/Rebase/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/Mindy/Location.py,
/home/peter/clone_digger/biopython-1.44/Bio/Mindy/SimpleSeqRecord.py,
/home/peter/clone_digger/biopython-1.44/Bio/Mindy/BerkeleyDB.py,
/home/peter/clone_digger/biopython-1.44/Bio/Mindy/BaseDB.py,
/home/peter/clone_digger/biopython-1.44/Bio/Mindy/compression.py,
/home/peter/clone_digger/biopython-1.44/Bio/Mindy/XPath.py,
/home/peter/clone_digger/biopython-1.44/Bio/Mindy/FlatDB.py,
/home/peter/clone_digger/biopython-1.44/Bio/Mindy/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/SeqUtils/ProtParam.py,
/home/peter/clone_digger/biopython-1.44/Bio/SeqUtils/CodonUsageIndices.py,
/home/peter/clone_digger/biopython-1.44/Bio/SeqUtils/CheckSum.py,
/home/peter/clone_digger/biopython-1.44/Bio/SeqUtils/ProtParamData.py,
/home/peter/clone_digger/biopython-1.44/Bio/SeqUtils/lcc.py,
/home/peter/clone_digger/biopython-1.44/Bio/SeqUtils/IsoelectricPoint.py,
/home/peter/clone_digger/biopython-1.44/Bio/SeqUtils/MeltingTemp.py,
/home/peter/clone_digger/biopython-1.44/Bio/SeqUtils/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/SeqUtils/CodonUsage.py,
/home/peter/clone_digger/biopython-1.44/Bio/Saf/Record.py,
/home/peter/clone_digger/biopython-1.44/Bio/Saf/saf_format.py,
/home/peter/clone_digger/biopython-1.44/Bio/Saf/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/MultiProc/Scheduler.py,
/home/peter/clone_digger/biopython-1.44/Bio/MultiProc/copen.py,
/home/peter/clone_digger/biopython-1.44/Bio/MultiProc/Task.py,
/home/peter/clone_digger/biopython-1.44/Bio/MultiProc/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/GenBank/utils.py,
/home/peter/clone_digger/biopython-1.44/Bio/GenBank/Record.py,
/home/peter/clone_digger/biopython-1.44/Bio/GenBank/Scanner.py,
/home/peter/clone_digger/biopython-1.44/Bio/GenBank/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/GenBank/LocationParser.py,
/home/peter/clone_digger/biopython-1.44/Bio/Alphabet/IUPAC.py,
/home/peter/clone_digger/biopython-1.44/Bio/Alphabet/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/Alphabet/Reduced.py,
/home/peter/clone_digger/biopython-1.44/Bio/Wise/dnal.py,
/home/peter/clone_digger/biopython-1.44/Bio/Wise/psw.py,
/home/peter/clone_digger/biopython-1.44/Bio/Wise/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/Pathway/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/Pathway/Rep/HashSet.py,
/home/peter/clone_digger/biopython-1.44/Bio/Pathway/Rep/Graph.py,
/home/peter/clone_digger/biopython-1.44/Bio/Pathway/Rep/MultiGraph.py,
/home/peter/clone_digger/biopython-1.44/Bio/Pathway/Rep/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/Medline/nlmmedline_031101_format.py,
/home/peter/clone_digger/biopython-1.44/Bio/Medline/NLMMedlineXML.py,
/home/peter/clone_digger/biopython-1.44/Bio/Medline/nlmmedline_001211_format.py,
/home/peter/clone_digger/biopython-1.44/Bio/Medline/nlmmedline_011101_format.py,
/home/peter/clone_digger/biopython-1.44/Bio/Medline/nlmmedline_010319_format.py,
/home/peter/clone_digger/biopython-1.44/Bio/Medline/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/Affy/CelFile.py,
/home/peter/clone_digger/biopython-1.44/Bio/Affy/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/MEME/Motif.py,
/home/peter/clone_digger/biopython-1.44/Bio/MEME/Parser.py,
/home/peter/clone_digger/biopython-1.44/Bio/MEME/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/Emboss/primer3_format.py,
/home/peter/clone_digger/biopython-1.44/Bio/Emboss/Primer.py,
/home/peter/clone_digger/biopython-1.44/Bio/Emboss/Applications.py,
/home/peter/clone_digger/biopython-1.44/Bio/Emboss/primersearch_format.py,
/home/peter/clone_digger/biopython-1.44/Bio/Emboss/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/GFF/binning.py,
/home/peter/clone_digger/biopython-1.44/Bio/GFF/GenericTools.py,
/home/peter/clone_digger/biopython-1.44/Bio/GFF/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/GFF/easy.py,
/home/peter/clone_digger/biopython-1.44/Bio/Ndb/__init__.py,
/home/peter/clone_digger/biopython-1.44/Bio/FSSP/fssp_rec.py,
/home/peter/clone_digger/biopython-1.44/Bio/FSSP/FSSPTools.py,
/home/peter/clone_digger/biopython-1.44/Bio/FSSP/__init__.py
Clones detected: 1695
Parameters
clustering_threshold = 10
distance_threshold = 5
length_threshold = 30
hashing_depth = 1
clusterize_using_hash = False
Clone # 1
Anti-unification distance between two trees = 4
Total size of two trees = 472
Total length of sequences = 130
Source file "/home/peter/clone_digger/biopython-1.44/Bio/Medline/nlmmedline_011101_format.py" The first line is 133 | Source file "/home/peter/clone_digger/biopython-1.44/Bio/Medline/nlmmedline_010319_format.py" The first line is 128 | |
group_elem("MeshHeadingList", Rep1(MeshHeading)) | group_elem("MeshHeadingList", Rep1(MeshHeading)) | |
simple_elem("MedlinePgn") | simple_elem("MedlinePgn") | |
simple_elem("EndPage") | simple_elem("EndPage") | |
simple_elem("StartPage") | simple_elem("StartPage") | |
group_elem("Pagination", Alt(StartPage + Opt(EndPage) + Opt(MedlinePgn), MedlinePgn)) |
group_elem("Pagination", Alt(StartPage + Opt(EndPage) + Opt(MedlinePgn), MedlinePgn)) |
|
simple_elem("Affiliation") | simple_elem("Affiliation") | |
group_elem("Author", author_name + Opt(Affiliation)) | group_elem("Author", author_name + Opt(Affiliation)) | |
group_elem("AuthorList", Rep1(Author), "CompleteYN") | group_elem("AuthorList", Rep1(Author), "CompleteYN") | |
simple_elem("Language") | simple_elem("Language") | |
simple_elem("PublicationType") | simple_elem("PublicationType") | |
group_elem("PublicationTypeList", Rep1(PublicationType)) | group_elem("PublicationTypeList", Rep1(PublicationType)) | |
simple_elem("Title") # These were moved up, so that the definitions | simple_elem("Title") # These were moved up, so that the definitions | |
simple_elem("Volume") # will be before Book. | simple_elem("Volume") # will be before Book. | |
simple_elem("VernacularTitle") | simple_elem("VernacularTitle") | |
simple_elem("CollectionTitle") | simple_elem("CollectionTitle") | |
simple_elem("ArticleTitle") | simple_elem("ArticleTitle") | |
simple_elem("Publisher") | simple_elem("Publisher") | |
group_elem("PubDate", pub_date) | group_elem("PubDate", pub_date) | |
group_elem("Book", PubDate + Publisher + Title + Opt(AuthorList) + Opt(CollectionTitle) + Opt(Volume)) |
group_elem("Book", PubDate + Publisher + Title + Opt(AuthorList) + Opt(CollectionTitle) + Opt(Volume)) |
|
simple_elem("Country") | simple_elem("Country") | |
simple_elem("MedlineTA") | simple_elem("MedlineTA") | |
simple_elem("MedlineCode") | simple_elem("MedlineCode") | |
group_elem("MedlineJournalInfo", Opt(Country) + MedlineTA + Opt(MedlineCode) + Opt(NlmUniqueID)) |
group_elem("MedlineJournalInfo", Opt(Country) + MedlineTA + Opt(MedlineCode) + Opt(NlmUniqueID)) |
|
simple_elem("DateOfElectronicPublication") | simple_elem("DateOfElectronicPublication") | |
simple_elem("ISOAbbreviation") | simple_elem("ISOAbbreviation") | |
simple_elem("Coden") | simple_elem("Coden") | |
simple_elem("Issue") | simple_elem("Issue") | |
group_elem("JournalIssue", Opt(Volume) + Opt(Issue) + PubDate) | group_elem("JournalIssue", Opt(Volume) + Opt(Issue) + PubDate) | |
simple_elem("ISSN") | simple_elem("ISSN") | |
group_elem("Journal", Opt(ISSN) + \ JournalIssue + \ Opt(Coden) + \ Opt(Title) + \ Opt(ISOAbbreviation) |
group_elem("Journal", Opt(ISSN) + \ JournalIssue + \ Opt(Coden) + \ Opt(Title) + \ Opt(ISOAbbreviation) |
|
simple_elem("GrantID") | simple_elem("GrantID") | |
simple_elem("Acronym") | simple_elem("Acronym") | |
simple_elem("Agency") | simple_elem("Agency") | |
group_elem("Grant", Opt(GrantID) + Opt(Acronym) + Opt(Agency)) | group_elem("Grant", Opt(GrantID) + Opt(Acronym) + Opt(Agency)) | |
group_elem("GrantList", Rep1(Grant), "CompleteYN") | group_elem("GrantList", Rep1(Grant), "CompleteYN") | |
simple_elem("AccessionNumber") | simple_elem("AccessionNumber") | |
group_elem("AccessionNumberList", Rep1(AccessionNumber)) | group_elem("AccessionNumberList", Rep1(AccessionNumber)) | |
simple_elem("DataBankName") | simple_elem("DataBankName") | |
group_elem("DataBank", DataBankName + Opt(AccessionNumberList)) | group_elem("DataBank", DataBankName + Opt(AccessionNumberList)) | |
group_elem("DataBankList", Rep1(DataBank), "CompleteYN") | group_elem("DataBankList", Rep1(DataBank), "CompleteYN") | |
group_elem("Article", Alt(Journal, Book) + \ ArticleTitle + \ Pagination + \ Opt(Abstract) + \ Opt(Affiliation) + \ Opt(AuthorList) + \ Rep1(Language) + \ Opt(DataBankList) + \ Opt(GrantList) + \ PublicationTypeList + \ Opt(VernacularTitle) + \ Opt(DateOfElectronicPublication) |
group_elem("Article", Alt(Journal, Book) + \ ArticleTitle + \ Pagination + \ Opt(Abstract) + \ Opt(Affiliation) + \ Opt(AuthorList) + \ Rep1(Language) + \ Opt(DataBankList) + \ Opt(GrantList) + \ PublicationTypeList + \ Opt(VernacularTitle) + \ Opt(DateOfElectronicPublication) |
|
group_elem("NCBIArticle", PMID + Article + Opt(MedlineJournalInfo)) | group_elem("NCBIArticle", PMID + Article + Opt(MedlineJournalInfo)) | |
simple_elem("MedlineID") | simple_elem("MedlineID") | |
simple_elem("Note") | simple_elem("Note") | |
simple_elem("RefSource") | simple_elem("RefSource") | |
Ref_template = RefSource + Opt(Alt(PMID, MedlineID)) + Opt(Note) | Ref_template = RefSource + Opt(MedlineID) + Opt(Note) | |
group_elem("OriginalReportIn", Ref_template) | group_elem("OriginalReportIn", Ref_template) | |
group_elem("SummaryForPatientsIn", Ref_template) | group_elem("SummaryForPatientsIn", Ref_template) | |
group_elem("CommentOn", Ref_template) | group_elem("CommentOn", Ref_template) | |
group_elem("CommentIn", Ref_template) | group_elem("CommentIn", Ref_template) | |
group_elem("ErratumIn", Ref_template) | group_elem("ErratumIn", Ref_template) | |
group_elem("RepublishedFrom", Ref_template) | group_elem("RepublishedFrom", Ref_template) | |
group_elem("RepublishedIn", Ref_template) | group_elem("RepublishedIn", Ref_template) | |
group_elem("RetractionOf", Ref_template) | group_elem("RetractionOf", Ref_template) | |
group_elem("RetractionIn", Ref_template) | group_elem("RetractionIn", Ref_template) | |
group_elem("UpdateIn", Ref_template) | group_elem("UpdateIn", Ref_template) | |
group_elem("UpdateOf", Ref_template) | group_elem("UpdateOf", Ref_template) | |
group_elem("CommentsCorrections", Rep(CommentOn) + Rep(CommentIn) + \ Rep(ErratumIn) + \ Rep(RepublishedFrom) + Rep(RepublishedIn) + \ Rep(RetractionOf) + Rep(RetractionIn) + \ Rep(UpdateIn) + Rep(UpdateOf) + \ Rep(SummaryForPatientsIn) + Rep(OriginalReportIn) |
group_elem("CommentsCorrections", Rep(CommentOn) + Rep(CommentIn) + \ Rep(ErratumIn) + \ Rep(RepublishedFrom) + Rep(RepublishedIn) + \ Rep(RetractionOf) + Rep(RetractionIn) + \ Rep(UpdateIn) + Rep(UpdateOf) + \ Rep(SummaryForPatientsIn) + Rep(OriginalReportIn) |
|
simple_elem("NumberOfReferences") | simple_elem("NumberOfReferences") | |
group_elem("PersonalNameSubject", personal_name) | group_elem("PersonalNameSubject", personal_name) | |
group_elem("PersonalNameSubjectList", Rep1(PersonalNameSubject)) | group_elem("PersonalNameSubjectList", Rep1(PersonalNameSubject)) | |
simple_elem("GeneSymbol") | simple_elem("GeneSymbol") | |
group_elem("GeneSymbolList", Rep1(GeneSymbol)) | group_elem("GeneSymbolList", Rep1(GeneSymbol)) | |
simple_elem("NameOfSubstance") | simple_elem("NameOfSubstance") | |
simple_elem("CASRegistryNumber") | simple_elem("CASRegistryNumber") |
Clone # 13
Anti-unification distance between two trees = 4
Total size of two trees = 158
Total length of sequences = 4
Source file "/home/peter/clone_digger/biopython-1.44/Bio/Gobase/__init__.py" The first line is 133 | Source file "/home/peter/clone_digger/biopython-1.44/Bio/Rebase/__init__.py" The first line is 78 | |
class Iterator: def __init__(self, handle, parser=None): if type(handle) is not FileType and type(handle) is not InstanceType: raise ValueError, "I expected a file handle or file-like object" self._uhandle = SGMLHandle( File.UndoHandle( handle ) ) self._parser = parser def next(self): lines = [] first_tag = 'Recognition Sequence' while 1: line = self._uhandle.readline() if not line: break if line[:len( first_tag )] == 'first_tag': self._uhandle.saveline(line) break if not line: return None if self._parser is not None: return self._parser.parse(File.StringHandle(data)) return data def __iter__(self): return iter(self.next, None) |
class Iterator: def __init__(self, handle, parser=None): if type(handle) is not FileType and type(handle) is not InstanceType: raise ValueError, "I expected a file handle or file-like object" self._uhandle = SGMLHandle( File.UndoHandle( handle ) ) self._parser = parser def next(self): lines = [] first_tag = 'Recognition Sequence' while 1: line = self._uhandle.readline() if not line: break if line[:len( first_tag )] == 'first_tag': self._uhandle.saveline(line) break if not line: return None if self._parser is not None: return self._parser.parse(File.StringHandle(data)) return data def __iter__(self): return iter(self.next, None) |
|
class Dictionary: __filename_key = '__filename' def __init__(self, indexname, parser=None): self._index = Index.Index(indexname) self._handle = open(self._index[Dictionary.__filename_key]) self._parser = parser def __len__(self): return len(self._index) def __getitem__(self, key): start, len = self._index[key] self._handle.seek(start) data = self._handle.read(len) if self._parser is not None: return self._parser.parse(File.StringHandle(data)) return data def __getattr__(self, name): return getattr(self._index, name) |
class Dictionary: __filename_key = '__filename' def __init__(self, indexname, parser=None): self._index = Index.Index(indexname) self._handle = open(self._index[Dictionary.__filename_key]) self._parser = parser def __len__(self): return len(self._index) def __getitem__(self, key): start, len = self._index[key] self._handle.seek(start) data = self._handle.read(len) if self._parser is not None: return self._parser.parse(File.StringHandle(data)) return data def __getattr__(self, name): return getattr(self._index, name) |
Clone # 20
Anti-unification distance between two trees = 3
Total size of two trees = 142
Total length of sequences = 22
Source file "/home/peter/clone_digger/biopython-1.44/Bio/SwissProt/SProt.py" The first line is 224 | Source file "/home/peter/clone_digger/biopython-1.44/Bio/PubMed.py" The first line is 39 | |
def __init__(self, delay=5.0, parser=None): self.parser = parser self.limiter = RequestLimiter(delay) |
def __init__(self, delay=5.0, parser=None): self.parser = parser self.limiter = RequestLimiter(delay) |
|
def __len__(self): raise NotImplementedError, "SwissProt contains lots of entries" |
def __len__(self): raise NotImplementedError, "PubMed contains lots of entries" |
|
def clear(self): raise NotImplementedError, "This is a read-only dictionary" |
def clear(self): raise NotImplementedError, "This is a read-only dictionary" |
|
def __setitem__(self, key, item): raise NotImplementedError, "This is a read-only dictionary" |
def __setitem__(self, key, item): raise NotImplementedError, "This is a read-only dictionary" |
|
def update(self): raise NotImplementedError, "This is a read-only dictionary" |
def update(self): raise NotImplementedError, "This is a read-only dictionary" |
|
def copy(self): raise NotImplementedError, "You don't need to do this..." |
def copy(self): raise NotImplementedError, "You don't need to do this..." |
|
def keys(self): raise NotImplementedError, "You don't really want to do this..." |
def keys(self): raise NotImplementedError, "You don't really want to do this..." |
|
def items(self): raise NotImplementedError, "You don't really want to do this..." |
def items(self): raise NotImplementedError, "You don't really want to do this..." |
|
def values(self): raise NotImplementedError, "You don't really want to do this..." |
def values(self): raise NotImplementedError, "You don't really want to do this..." |
|
def has_key(self, id): try: self[id] except KeyError: return 0 return 1 |
def has_key(self, id): try: self[id] except KeyError: return 0 return 1 |
|
def get(self, id, failobj=None): try: return self[id] except KeyError: return failobj raise "How did I get here?" |
def get(self, id, failobj=None): try: return self[id] except KeyError: return failobj raise "How did I get here?" |
Clone # 24
Anti-unification distance between two trees = 0
Total size of two trees = 120
Total length of sequences = 12
Source file "/home/peter/clone_digger/biopython-1.44/Bio/MEME/Parser.py" The first line is 318 | Source file "/home/peter/clone_digger/biopython-1.44/Bio/MEME/Parser.py" The first line is 267 | |
ls = line.split() | ls = line.split() | |
self.data._add_diagram_for_sequence(ls[1], self._current_seq) | self.data._add_diagram_for_sequence(ls[1], self._current_seq) | |
ds = ls[1].split('_') | ds = ls[1].split('_') | |
i = 0 | i = 0 | |
start = 0 | start = 0 | |
for i in range(0,len(ds)): if ds[i].find('[') != -1 or ds[i].find('<') != -1: inst = Motif.Instance() inst._seqname (self._current_seq) inst._start (start) r = re.compile('\d+') mn = r.findall(ds[i])[0] if ds[i].find('-') != -1: inst.strand = '-' inst.strand = '+' motif = self.data.get_motif_by_name(mn) motif.add_instance(inst) start += motif.length start += int(ds[i]) |
for i in range(0,len(ds)): if ds[i].find('[') != -1 or ds[i].find('<') != -1: inst = Motif.Instance() inst._seqname (self._current_seq) inst._start (start) r = re.compile('\d+') mn = r.findall(ds[i])[0] if ds[i].find('-') != -1: inst.strand = '-' inst.strand = '+' motif = self.data.get_motif_by_name(mn) motif.add_instance(inst) start += motif.length start += int(ds[i]) |
Clone # 25
Anti-unification distance between two trees = 3
Total size of two trees = 120
Total length of sequences = 20
Source file "/home/peter/clone_digger/biopython-1.44/Bio/Restriction/Restriction.py" The first line is 1164 | Source file "/home/peter/clone_digger/biopython-1.44/Bio/Restriction/Restriction.py" The first line is 927 | |
def catalyse(self, dna, linear=True) : r = self.search(dna, linear) d = self.dna if not r : return d[1:], fragments = [] length = len(r)-1 if d.is_linear() : fragments.append(d[1:r[0]]) if length : fragments += [d[r[x]:r[x+1]] for x in xrange(length)] fragments.append(d[r[-1]:]) fragments.append(d[r[-1]:]+d[1:r[0]]) if not length: return tuple(fragments) fragments += [d[r[x]:r[x+1]] for x in xrange(length)] return tuple(fragments) |
def catalyse(self, dna, linear=True) : r = self.search(dna, linear) d = self.dna if not r : return d[1:], fragments = [] length = len(r)-1 if d.is_linear() : fragments.append(d[1:r[0]]) if length : fragments += [d[r[x]:r[x+1]] for x in xrange(length)] fragments.append(d[r[-1]:]) fragments.append(d[r[-1]:]+d[1:r[0]]) if not length: return tuple(fragments) fragments += [d[r[x]:r[x+1]] for x in xrange(length)] return tuple(fragments) |
|
catalyze = catalyse = classmethod(catalyse) | catalyze = catalyse = classmethod(catalyse) | |
def is_blunt(self) : return False |
def is_blunt(self) : return True |
|
is_blunt = classmethod(is_blunt) | is_blunt = classmethod(is_blunt) | |
def is_5overhang(self) : return False |
def is_5overhang(self) : return False |
|
is_5overhang = classmethod(is_5overhang) | is_5overhang = classmethod(is_5overhang) | |
def is_3overhang(self) : return True |
def is_3overhang(self) : return False |
|
is_3overhang = classmethod(is_3overhang) | is_3overhang = classmethod(is_3overhang) | |
def overhang(self) : return "3' overhang" |
def overhang(self) : return 'blunt' |
|
overhang = classmethod(overhang) | overhang = classmethod(overhang) |
Clone # 26
Anti-unification distance between two trees = 2
Total size of two trees = 118
Total length of sequences = 20
Source file "/home/peter/clone_digger/biopython-1.44/Bio/GenBank/__init__.py" The first line is 1302 | Source file "/home/peter/clone_digger/biopython-1.44/Bio/Prosite/__init__.py" The first line is 284 | |
def __len__(self): raise NotImplementedError, "GenBank contains lots of entries" |
def __len__(self): raise NotImplementedError, "Prosite contains lots of entries" |
|
def clear(self): raise NotImplementedError, "This is a read-only dictionary" |
def clear(self): raise NotImplementedError, "This is a read-only dictionary" |
|
def __setitem__(self, key, item): raise NotImplementedError, "This is a read-only dictionary" |
def __setitem__(self, key, item): raise NotImplementedError, "This is a read-only dictionary" |
|
def update(self): raise NotImplementedError, "This is a read-only dictionary" |
def update(self): raise NotImplementedError, "This is a read-only dictionary" |
|
def copy(self): raise NotImplementedError, "You don't need to do this..." |
def copy(self): raise NotImplementedError, "You don't need to do this..." |
|
def keys(self): raise NotImplementedError, "You don't really want to do this..." |
def keys(self): raise NotImplementedError, "You don't really want to do this..." |
|
def items(self): raise NotImplementedError, "You don't really want to do this..." |
def items(self): raise NotImplementedError, "You don't really want to do this..." |
|
def values(self): raise NotImplementedError, "You don't really want to do this..." |
def values(self): raise NotImplementedError, "You don't really want to do this..." |
|
def has_key(self, id): try: self[id] except KeyError: return 0 return 1 |
def has_key(self, id): try: self[id] except KeyError: return 0 return 1 |
|
def get(self, id, failobj=None): try: return self[id] except KeyError: return failobj raise "How did I get here?" |
def get(self, id, failobj=None): try: return self[id] except KeyError: return failobj raise "How did I get here?" |
Clone # 35
Anti-unification distance between two trees = 1
Total size of two trees = 110
Total length of sequences = 4
Source file "/home/peter/clone_digger/biopython-1.44/Bio/UniGene/__init__.py" The first line is 333 | Source file "/home/peter/clone_digger/biopython-1.44/Bio/Enzyme/__init__.py" The first line is 167 | |
class RecordParser(AbstractParser): def __init__(self): self._scanner = _Scanner() self._consumer = _RecordConsumer() def parse(self, handle): if isinstance(handle, File.UndoHandle): uhandle = handle uhandle = File.UndoHandle(handle) self._scanner.feed(uhandle, self._consumer) return self._consumer.unigene_record |
class RecordParser(AbstractParser): def __init__(self): self._scanner = _Scanner() self._consumer = _RecordConsumer() def parse(self, handle): if isinstance(handle, File.UndoHandle): uhandle = handle uhandle = File.UndoHandle(handle) self._scanner.feed(uhandle, self._consumer) return self._consumer.enzyme_record |
|
class Iterator: def __init__(self, handle, parser=None): self._uhandle = File.UndoHandle(handle) def next(self): self._parser = RecordParser() lines = [] while 1: line = self._uhandle.readline() if not line: break if line[:2] == '//': break lines.append(line) if not lines: return None lines.append('//') data = string.join(lines,'') if self._parser is not None: return self._parser.parse(File.StringHandle(data)) return data def __iter__(self): return iter(self.next, None) |
class Iterator: def __init__(self, handle, parser=None): self._uhandle = File.UndoHandle(handle) def next(self): self._parser = RecordParser() lines = [] while 1: line = self._uhandle.readline() if not line: break if line[:2] == '//': break lines.append(line) if not lines: return None lines.append('//') data = string.join(lines,'') if self._parser is not None: return self._parser.parse(File.StringHandle(data)) return data def __iter__(self): return iter(self.next, None) |
Clone # 36
Anti-unification distance between two trees = 3
Total size of two trees = 110
Total length of sequences = 16
Source file "/home/peter/clone_digger/biopython-1.44/Bio/Restriction/Restriction.py" The first line is 1290 | Source file "/home/peter/clone_digger/biopython-1.44/Bio/Restriction/Restriction.py" The first line is 1425 | |
def _drop(self) : length = len(self.dna) drop = itertools.dropwhile take = itertools.takewhile if self.dna.is_linear() : self.results = [x for x in drop(lambda x:x<1, self.results)] self.results = [x for x in take(lambda x:x if location < 1 : self.results[index] += length break for index, location in enumerate(self.results[::-1]) : if location > length : self.results[-(index+1)] -= length break return |
def _drop(self) : length = len(self.dna) drop = itertools.dropwhile take = itertools.takewhile if self.dna.is_linear() : self.results = [x for x in drop(lambda x : x < 1, self.results)] self.results = [x for x in take(lambda x : x if location < 1 : self.results[index] += length break for index, location in enumerate(self.results[::-1]) : if location > length : self.results[-(index+1)] -= length break return |
|
_drop = classmethod(_drop) | _drop = classmethod(_drop) | |
def is_defined(self) : return True |
def is_defined(self) : return False |
|
is_defined = classmethod(is_defined) | is_defined = classmethod(is_defined) | |
def is_ambiguous(self) : return False |
def is_ambiguous(self) : return True |
|
is_ambiguous = classmethod(is_ambiguous) | is_ambiguous = classmethod(is_ambiguous) | |
def is_unknown(self) : return False |
def is_unknown(self) : return False |
|
is_unknown = classmethod(is_unknown) | is_unknown = classmethod(is_unknown) |
Clone # 38
Anti-unification distance between two trees = 2
Total size of two trees = 105
Total length of sequences = 10
Source file "/home/peter/clone_digger/biopython-1.44/Bio/Rebase/__init__.py" The first line is 129 | Source file "/home/peter/clone_digger/biopython-1.44/Bio/SwissProt/SProt.py" The first line is 184 | |
__filename_key = '__filename' | __filename_key = '__filename' | |
def __init__(self, indexname, parser=None): self._index = Index.Index(indexname) self._handle = open(self._index[Dictionary.__filename_key]) self._parser = parser |
def __init__(self, indexname, parser=None): self._index = Index.Index(indexname) self._handle = open(self._index[self.__filename_key]) self._parser = parser |
|
def __len__(self): return len(self._index) |
def __len__(self): return len(self._index) |
|
def __getitem__(self, key): start, len = self._index[key] self._handle.seek(start) data = self._handle.read(len) if self._parser is not None: return self._parser.parse(File.StringHandle(data)) return data |
def __getitem__(self, key): start, len = self._index[key] self._handle.seek(start) data = self._handle.read(len) if self._parser is not None: return self._parser.parse(File.StringHandle(data)) return data |
|
def __getattr__(self, name): return getattr(self._index, name) |
def __getattr__(self, name): return getattr(self._index, name) |
Clone # 42
Anti-unification distance between two trees = 4
Total size of two trees = 104
Total length of sequences = 16
Source file "/home/peter/clone_digger/biopython-1.44/Bio/Nexus/Nexus.py" The first line is 964 | Source file "/home/peter/clone_digger/biopython-1.44/Bio/Nexus/Nexus.py" The first line is 939 | |
charpartition={} | taxpartition={} | |
quotelevel=False | quotelevel=False | |
opts=CharBuffer(options) | opts=CharBuffer(options) | |
name=self._name_n_vector(opts) | name=self._name_n_vector(opts) | |
if not name: raise NexusError, 'Formatting error in charpartition: %s ' % options |
if not name: raise NexusError, 'Formatting error in taxpartition: %s ' % options |
|
sub='' | sub='' | |
while True: w=opts.next() if w is None or (w==',' and not quotelevel): subname,subindices=self._get_indices(sub,set_type=CHARSET,separator=':') charpartition[subname]=_make_unique(subindices) sub='' if w is None: break if w=="'": quotelevel=not quotelevel sub+=w |
while True: w=opts.next() if w is None or (w==',' and not quotelevel): subname,subindices=self._get_indices(sub,set_type=TAXSET,separator=':') taxpartition[subname]=_make_unique(subindices) sub='' if w is None: break if w=="'": quotelevel=not quotelevel sub+=w |
|
self.charpartitions[name]=charpartition | self.taxpartitions[name]=taxpartition |
Clone # 45
Anti-unification distance between two trees = 4
Total size of two trees = 102
Total length of sequences = 28
Source file "/home/peter/clone_digger/biopython-1.44/Bio/Medline/nlmmedline_010319_format.py" The first line is 243 | Source file "/home/peter/clone_digger/biopython-1.44/Bio/Medline/nlmmedline_011101_format.py" The first line is 249 | |
group_elem("Chemical", CASRegistryNumber + NameOfSubstance) |
group_elem("Chemical", Alt(CASRegistryNumber, RegistryNumber) + \ NameOfSubstance) |
|
group_elem("ChemicalList", Rep1(Chemical)) | group_elem("ChemicalList", Rep1(Chemical)) | |
simple_elem("CitationSubset") | simple_elem("CitationSubset") | |
simple_elem("GeneralNote", "Owner") | simple_elem("GeneralNote", "Owner") | |
group_elem("Investigator", personal_name + Opt(Affiliation)) | group_elem("Investigator", personal_name + Opt(Affiliation)) | |
group_elem("InvestigatorList", Rep1(Investigator)) | group_elem("InvestigatorList", Rep1(Investigator)) | |
simple_elem("OtherID", "Source") | simple_elem("OtherID", "Source") | |
simple_elem("SpaceFlightMission") | simple_elem("SpaceFlightMission") | |
simple_elem("Keyword", "MajorTopicYN") | simple_elem("Keyword", "MajorTopicYN") | |
group_elem("KeywordList", Rep1(Keyword), "Owner") | group_elem("KeywordList", Rep1(Keyword), "Owner") | |
group_elem("OtherAbstract", AbstractText + Opt(CopyrightInformation), "Type") |
group_elem("OtherAbstract", AbstractText + Opt(CopyrightInformation), "Type") |
|
group_elem("DateRevised", normal_date) | group_elem("DateRevised", normal_date) | |
group_elem("DateCompleted", normal_date) | group_elem("DateCompleted", normal_date) | |
group_elem("DateCreated", normal_date) | group_elem("DateCreated", normal_date) |
Clone # 54
Anti-unification distance between two trees = 2
Total size of two trees = 99
Total length of sequences = 14
Source file "/home/peter/clone_digger/biopython-1.44/Bio/GenBank/__init__.py" The first line is 555 | Source file "/home/peter/clone_digger/biopython-1.44/Bio/GenBank/__init__.py" The first line is 1084 | |
def authors(self, content): self._current_ref.authors = content |
def authors(self, content): self._cur_reference.authors = content |
|
def consrtm(self, content): self._current_ref.consrtm = content |
def consrtm(self, content): self._cur_reference.consrtm = content |
|
def title(self, content): self._current_ref.title = content |
def title(self, content): self._cur_reference.title = content |
|
def journal(self, content): self._current_ref.journal = content |
def journal(self, content): self._cur_reference.journal = content |
|
def medline_id(self, content): self._current_ref.medline_id = content |
def medline_id(self, content): self._cur_reference.medline_id = content |
|
def pubmed_id(self, content): self._current_ref.pubmed_id = content |
def pubmed_id(self, content): self._cur_reference.pubmed_id = content |
|
def remark(self, content): self._current_ref.comment = content |
def remark(self, content): self._cur_reference.remark = content |
Clone # 55
Anti-unification distance between two trees = 4
Total size of two trees = 97
Total length of sequences = 18
Source file "/home/peter/clone_digger/biopython-1.44/Bio/MEME/Parser.py" The first line is 325 | Source file "/home/peter/clone_digger/biopython-1.44/Bio/MEME/Parser.py" The first line is 299 | |
inst = Motif.Instance() | inst = Motif.Instance() | |
inst._seqname (self._current_seq) | inst._seqname (ls[0]) | |
inst._start (start) | inst._start (start) | |
r = re.compile('\d+') | r = re.compile('\d+') | |
mn = r.findall(ds[i])[0] | mn = r.findall(ds[i])[0] | |
if ds[i].find('-') != -1: inst.strand = '-' inst.strand = '+' |
if ds[i].find('-') != -1: inst.strand = '-' inst.strand = '+' |
|
motif = self.data.get_motif_by_name(mn) | motif = self.data.get_motif_by_name(mn) | |
motif.add_instance(inst) | motif.add_instance(inst) | |
start += motif.length | start += motif.length |
Clone # 62
Anti-unification distance between two trees = 4
Total size of two trees = 87
Total length of sequences = 8
Source file "/home/peter/clone_digger/biopython-1.44/Bio/Blast/NCBIStandalone.py" The first line is 1482 | Source file "/home/peter/clone_digger/biopython-1.44/Bio/Blast/NCBIStandalone.py" The first line is 1426 | |
def end_alignment(self): _AlignmentConsumer.end_alignment(self) if self._alignment.hsps: self._round.alignments.append(self._alignment) if self._multiple_alignment: self._round.multiple_alignment = self._multiple_alignment |
def end_alignment(self): _AlignmentConsumer.end_alignment(self) if self._alignment.hsps: self.data.alignments.append(self._alignment) if self._multiple_alignment.alignment: self.data.multiple_alignment = self._multiple_alignment |
|
def end_hsp(self): _HSPConsumer.end_hsp(self) try: self._alignment.hsps.append(self._hsp) except AttributeError: raise SyntaxError, "Found an HSP before an alignment" |
def end_hsp(self): _HSPConsumer.end_hsp(self) try: self._alignment.hsps.append(self._hsp) except AttributeError: raise SyntaxError, "Found an HSP before an alignment" |
|
def end_database_report(self): _DatabaseReportConsumer.end_database_report(self) self.data.__dict__.update(self._dr.__dict__) |
def end_database_report(self): _DatabaseReportConsumer.end_database_report(self) self.data.__dict__.update(self._dr.__dict__) |
|
def end_parameters(self): _ParametersConsumer.end_parameters(self) self.data.__dict__.update(self._params.__dict__) |
def end_parameters(self): _ParametersConsumer.end_parameters(self) self.data.__dict__.update(self._params.__dict__) |
(*) Warning: the highlighting of differences is based on diff and doesn't reflect the tree-based clone detection algorithm.