From 9094860f99c0de2effece71112eb6097962fb224 Mon Sep 17 00:00:00 2001 From: Acribbs Date: Mon, 1 Apr 2024 10:03:38 +0100 Subject: [PATCH 01/24] have removed cgat/SequencePairProperties.py to simplify dependancies --- cgat/SequencePairProperties.py | 283 ------------------------- doc/modules.rst | 1 - doc/modules/SequencePairProperties.rst | 4 - tests/SequencePairProperties_test.py | 100 --------- 4 files changed, 388 deletions(-) delete mode 100644 cgat/SequencePairProperties.py delete mode 100644 doc/modules/SequencePairProperties.rst delete mode 100644 tests/SequencePairProperties_test.py diff --git a/cgat/SequencePairProperties.py b/cgat/SequencePairProperties.py deleted file mode 100644 index 9f87f4ca6..000000000 --- a/cgat/SequencePairProperties.py +++ /dev/null @@ -1,283 +0,0 @@ -"""SequencePairProperties.py - Computing metrics for aligned sequences -====================================================================== - -This module provides methods for extracting and reporting sequence -properties of aligned nucleotide sequences such as percent identity, -substitution rate, etc. Usage is the same as -:mod:`SequencePairProperties`. - - -Reference ---------- - -""" -import numpy -from cgat import Mali as Mali -from cgat import WrapperCodeML as WrapperCodeML - - -class SequencePairProperties: - - mPseudoCounts = 1 - - def __init__(self): - - self.mLength = 0 - self.mNCodons = 0 - - def addProperties(self, other): - """add properties.""" - - self.mLength += other.mLength - self.mNCodons += other.mNCodons - - def updateProperties(self): - pass - - def loadPair(self, seq1, seq2): - """load sequence properties from a pair.""" - - def __str__(self): - return "\t".join(self.getFields()) - - def __call__(self, seq1, seq2): - self.loadPair(seq1.upper(), seq2.upper()) - - def getFields(self): - self.updateProperties() - return [] - - def getHeaders(self): - return [] - - def getHeader(self): - return "\t".join(self.getHeaders) - - -class SequencePairPropertiesDistance(SequencePairProperties): - - """base class for distance estimators.""" - - def __init__(self, *args, **kwargs): - SequencePairProperties.__init__(self, *args, **kwargs) - - -class SequencePairPropertiesBaseML (SequencePairPropertiesDistance): - - """Counts for nucleic acid sequences. - - The first characters are ACGT. - """ - - mFormat = "%6.4f" - - def __init__(self, options, *args, **kwargs): - SequencePairPropertiesDistance.__init__(self, *args, **kwargs) - - self.mBaseml = WrapperCodeML.BaseML() - self.mBaseml.SetOptions(options) - - if options.loglevel >= 3: - self.mDump = True - self.mTest = True - else: - self.mDump = False - self.mTest = False - - def loadPair(self, seq1, seq2): - - temp_mali = Mali.Mali() - temp_mali.addSequence("seq1", 0, len(seq1), seq1) - temp_mali.addSequence("seq2", 0, len(seq2), seq2) - - try: - self.mResult = self.mBaseml.Run(temp_mali, - tree="(seq1,seq2);", - dump=self.mDump, - test=self.mTest) - except WrapperCodeML.UsageError: - self.mResult = None - - def getHeaders(self): - return ["distance", "lnl", "kappa", "converged"] - - def __str__(self): - - if not self.mResult: - return "\t".join(["na"] * 4) - - if self.mResult.mKappa != "na": - o_kappa = self.mFormat % self.mResult.mKappa - else: - o_kappa = self.mResult.mKappa - - if self.mResult.mCheckConvergence: - o_converged = "0" - else: - o_converged = "1" - - return "\t".join(( - self.mFormat % self.mResult.mDistanceMatrix["seq1"]["seq2"], - self.mFormat % self.mResult.mLogLikelihood, - o_kappa, - o_converged)) - - -class SequencePairPropertiesCountsNa (SequencePairProperties): - - """Counts for nucleic acid sequences. - - The first characters are ACGT. - """ - - mAlphabet = "ACGT" - mGapChar = "-" - - def __init__(self, *args, **kwargs): - SequencePairProperties.__init__(self, *args, **kwargs) - self.mNIdentical = 0 - self.mNAligned = 0 - self.mNDifferent = 0 - self.mNTransitions = 0 - self.mNTransversions = 0 - self.mNUnaligned1 = 0 - self.mNUnaligned2 = 0 - self.mMapChar2Pos = {} - self.mPercentGC = 0 - self.mMatrix = [] - - def buildSubstitutionMatrix(self, seq1, seq2, alphabet): - """given a pair of sequences, calculate - a substitution matrix for the given alphabet. - """ - if len(seq1) != len(seq2): - raise ValueError("two sequences of unequal length submitted") - - nchars = len(alphabet) - matrix = numpy.zeros((nchars, nchars), numpy.int) - map_char2pos = {} - for x in alphabet: - map_char2pos[x] = len(map_char2pos) - - for x in range(len(seq1)): - try: - matrix[map_char2pos[seq1[x]], map_char2pos[seq2[x]]] += 1 - except KeyError: - continue - - return matrix - - def loadPair(self, seq1, seq2): - """load sequence properties from a pair. - """ - SequencePairProperties.loadPair(self, seq1, seq2) - - alphabet = self.mAlphabet + self.mGapChar - - map_char2pos = {} - for x in alphabet: - map_char2pos[x] = len(map_char2pos) - - # build coordinates for various substitution subsets - transitions, transversions = [], [] - for x in ("AG", "GA", "CT", "TC"): - transitions.append((map_char2pos[x[0]], map_char2pos[x[1]])) - - for x in ("AT", "TA", "GT", "TG", "GC", "CG", "AC", "CA"): - transversions.append((map_char2pos[x[0]], map_char2pos[x[1]])) - - matrix = self.buildSubstitutionMatrix(seq1, seq2, alphabet) - matrix_acgt = matrix[0:4, 0:4] - - self.mMatrix = matrix - self.mMapChar2Pos = map_char2pos - self.mNAligned = numpy.sum(numpy.ravel(matrix_acgt)) - self.mNIdentical = numpy.sum(numpy.trace(matrix_acgt)) - self.mNTransitions = numpy.sum([matrix[x] for x in transitions]) - self.mNTransversions = numpy.sum([matrix[x] for x in transversions]) - self.mNDifferent = self.mNAligned - self.mNIdentical - self.mNUnaligned1 = numpy.sum(numpy.ravel(matrix[0:4, 4])) - self.mNUnaligned2 = numpy.sum(numpy.ravel(matrix[4, 0:4])) - - cp = self.mMapChar2Pos['C'] - gp = self.mMapChar2Pos['G'] - - # sum all rows and columns that have a least one G or C - # and remove those that have two in order to not double count - gc = numpy.sum( - self.mMatrix[0:4, cp] + - self.mMatrix[0:4, gp] + - self.mMatrix[cp, 0:4] + - self.mMatrix[gp, 0:4]) \ - - self.mMatrix[cp, cp] \ - - self.mMatrix[gp, gp] \ - - self.mMatrix[cp, gp] \ - - self.mMatrix[gp, cp] - - try: - self.mPercentGC = "%5.2f" % (100.0 * float(gc) / self.mNAligned) - except ZeroDivisionError: - self.mPercentGC = "na" - - def __str__(self): - - return "\t".join(map(str, (self.mNIdentical, self.mNAligned, - self.mNDifferent, - self.mNTransitions, self.mNTransversions, - self.mNUnaligned1, self.mNUnaligned2, - self.mPercentGC))) - - def getHeaders(self): - return ["identical", "aligned", "different", "transitions", - "transversions", "unaligned1", "unaligned2", "pgc"] - - -class SequencePairPropertiesCountsCodons(SequencePairPropertiesCountsNa): - - """the first characters are ACGT.""" - - def __init__(self): - SequencePairPropertiesCountsNa.__init__(self) - self.mNNonSynonymous = 0 - self.mNSynonymous = 0 - - def __str__(self): - - return "\t".join((SequencePairPropertiesCountsNa.__str__(self), - str(self.mNNonSynonymous), - str(self.mNSynonymous))) - - def getHeaders(self): - return ["nonsyn", "nsyn"] - - -class SequencePairPropertiesPID(SequencePairPropertiesDistance): - """Percent identity. - - The percent identity is the ratio of the number of identical - residues divided by the number of aligned residues. - - """ - mGapChars = ("-", "."), - - def __init__(self, *args, **kwargs): - SequencePairPropertiesDistance.__init__(self, *args, **kwargs) - self.mPID = 0 - - def loadPair(self, seq1, seq2): - - nidentical, naligned = 0, 0 - for c1, c2 in zip(seq1.upper(), seq2.upper()): - if c1 in self.mGapChars or c2 in self.mGapChars: - continue - naligned += 1 - if c1 == c2: - nidentical += 1 - - self.mPID = 100.0 * float(nidentical) / naligned - - def getHeaders(self): - return ["distance", ] - - def __str__(self): - return self.mFormat % self.mPID diff --git a/doc/modules.rst b/doc/modules.rst index 5424c7b6f..f18b74b82 100644 --- a/doc/modules.rst +++ b/doc/modules.rst @@ -55,7 +55,6 @@ Algorithms modules/Genomics.rst modules/Intervals.rst modules/Motifs.rst - modules/SequencePairProperties.rst modules/SequenceProperties.rst modules/Variants.rst diff --git a/doc/modules/SequencePairProperties.rst b/doc/modules/SequencePairProperties.rst deleted file mode 100644 index 0ac5562c3..000000000 --- a/doc/modules/SequencePairProperties.rst +++ /dev/null @@ -1,4 +0,0 @@ - -.. automodule:: SequencePairProperties - :members: - :show-inheritance: diff --git a/tests/SequencePairProperties_test.py b/tests/SequencePairProperties_test.py deleted file mode 100644 index dba64170f..000000000 --- a/tests/SequencePairProperties_test.py +++ /dev/null @@ -1,100 +0,0 @@ -########################################################################## -# Gene prediction pipeline -# -# $Id: SequencePairProperties_test.py 2792 2009-09-16 15:27:03Z andreas $ -# -# Copyright (C) 2004 Andreas Heger -# -# This program is free software; you can redistribute it and/or -# modify it under the terms of the GNU General Public License -# as published by the Free Software Foundation; either version 2 -# of the License, or (at your option) any later version. -# -# This program is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License -# along with this program; if not, write to the Free Software -# Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. -########################################################################## -"""unit testing module for the Tree.py class.""" -import random -from cgat.SequencePairProperties import * -import unittest - - -class SequencePairPropertiesNATest(unittest.TestCase): - - def testCounts1(self): - seq1 = "A" * 5 + "C" * 5 + "-" * 5 + "G" * 5 + "T" * 5 - seq2 = seq1 - - c = SequencePairPropertiesCountsNa() - c.loadPair(seq1, seq2) - - self.assertEqual(c.mNAligned, 20) - self.assertEqual(c.mPercentGC, "50.00") - - def testCounts2(self): - seq1 = "A" * 5 + "C" * 5 + "-" * 5 + "G" * 5 + "T" * 5 - seq2 = "T" * 5 + "G" * 5 + "-" * 5 + "C" * 5 + "A" * 5 - - c = SequencePairPropertiesCountsNa() - c.loadPair(seq1, seq2) - - self.assertEqual(c.mNAligned, 20) - self.assertEqual(c.mPercentGC, "50.00") - - def testCounts3(self): - seq1 = "A" * 20 - seq2 = "T" * 20 - - c = SequencePairPropertiesCountsNa() - c.loadPair(seq1, seq2) - - self.assertEqual(c.mNAligned, 20) - self.assertEqual(c.mPercentGC, " 0.00") - - def testCounts4(self): - seq1 = "G" * 20 - seq2 = "C" * 20 - - c = SequencePairPropertiesCountsNa() - c.loadPair(seq1, seq2) - - self.assertEqual(c.mNAligned, 20) - self.assertEqual(c.mPercentGC, "100.00") - - def testCounts5(self): - seq1 = "G" * 20 + "A" * 10 - seq2 = "C" * 20 + "T" * 10 - - c = SequencePairPropertiesCountsNa() - c.loadPair(seq1, seq2) - - self.assertEqual(c.mNAligned, 30) - self.assertEqual(c.mPercentGC, "66.67") - - def testCounts6(self): - - a, b = [], [] - for x in range(0, 100): - a.append(random.choice("ACGT")) - b.append(random.choice("ACGT")) - a, b = "".join(a), "".join(b) - - gc = len([x for x, y in zip(a, b) - if x in "CG" or y in "CG"]) - gc = 100.0 * gc / len(a) - - c = SequencePairPropertiesCountsNa() - c.loadPair(a, b) - - self.assertEqual(c.mNAligned, 100) - self.assertEqual(c.mPercentGC, "%5.2f" % gc) - - -if __name__ == "__main__": - unittest.main() From e8e6dd35a1df6ab588f5063c2debfe82795b8620 Mon Sep 17 00:00:00 2001 From: Acribbs Date: Mon, 1 Apr 2024 10:05:43 +0100 Subject: [PATCH 02/24] removed cgat2rdf to make repo easier to maintain --- cgat/tools/cgat2rdf.py | 719 --------------------------------- cgat/tools/cgat2rdf/galaxy.xml | 227 ----------- doc/scripts.rst | 1 - tests/cgat2rdf.py/tests.yaml | 6 - 4 files changed, 953 deletions(-) delete mode 100644 cgat/tools/cgat2rdf.py delete mode 100644 cgat/tools/cgat2rdf/galaxy.xml delete mode 100644 tests/cgat2rdf.py/tests.yaml diff --git a/cgat/tools/cgat2rdf.py b/cgat/tools/cgat2rdf.py deleted file mode 100644 index d7c5a66b7..000000000 --- a/cgat/tools/cgat2rdf.py +++ /dev/null @@ -1,719 +0,0 @@ -'''cgat2rdf.py - create rdf description of cgat script -==================================================== - -:Tags: Python - -Purpose -------- - -This script creates an rdf description of a cgat -script. - -Usage ------ - -Example:: - - python cgat2rdf.py bam2stats.py - -Type:: - - python cgat2rdf.py --help - -for command line help. - -Documentation -------------- - -This script takes a cgat script and attempts to write an interface -definition for this script. In order to guess the file types -correctly, :file:`cgat2rdf.py` makes use of the following information: - -1. The script name. If the name of the script contains a - "format2format.py", :file:`cgat2rdf.py` will assume that the script - works within a pipe: it takes stdin and stdout as input and output, - respectively, and each are formatted according to the formats. For - example, ``bed2bed.py`` has a :term:`bed` formatted file as input - and output, while ``gtf2gff.py`` has a :term:`gtf` formatted file - as input and outputs a :term:`gff` file. Most formats are not - parsed, though :file:`cgat2rdf.py` contains some type mappings: - -+--------------------+--------------------+--------------------+ -|Format |Maps to |Content | -+--------------------+--------------------+--------------------+ -|tsv |tabular |Tab-separated values| -+--------------------+--------------------+--------------------+ -|table |tabular |ditto | -+--------------------+--------------------+--------------------+ -|stats |tabular |ditto | -+--------------------+--------------------+--------------------+ -|csv |tabular |ditto | -+--------------------+--------------------+--------------------+ - -2. The command line options. :file:`cgat2rdf.py` will import the - script it runs and captures the command line option parser - information. Based on these data, options are added to the - interface. Atomic values such as int, float, etc, are interpreted - directly. For textual arguments, :file:`cgat2rdf.py` tests if the - :attr:`metavar` attribute has been set. When set, the content of - this attribute will determine the file type. - -Command line options --------------------- - -''' - -import os -import sys -import re -import datetime -import collections -from jinja2 import Template -from rdflib import Graph -from rdflib import Namespace -from rdflib.namespace import RDF, RDFS, DCTERMS -from rdflib import Literal, BNode, URIRef -from rdflib.collection import Collection -import cgatcore.experiment as E - -ORIGINAL_START = None - -PARSER = None - - -FOAF = Namespace('http://xmlns.com/foaf/1.1/') -Component = Namespace('http://www.isi.edu/ikcap/Wingse/componentOntology.owl#') -FO = Namespace('http://www.isi.edu/ikcap/Wingse/fileOntology.owl#') -CLP = Namespace('http://www.humgen.nl/climate/ontologies/clp#') - - -def _e(string): - return string.replace(' ', '_') - - -MAP_FORMATS = { - 'tsv': 'tabular', - 'table': 'tabular', - 'stats': 'tabular', - 'csv': 'tabular', -} - -MAP_TYPE2FORMAT = { - 'gff': 'gff,gtf', - 'gtf': 'gff,gtf', - 'bam': 'bam', - 'sam': 'sam', - 'bigwig': 'bigWig', - 'bed': 'bed', -} - - -class DummyError(Exception): - pass - - -class Generator: - - '''inspired by: - https://github.com/zuotian/CLI-mate/blob/master/climate/utils/legacy_parser.py - ''' - - def __init__(self): - self.graph = Graph() - - def _addTriple(self, s, p, o): - if type(o) in [BNode, URIRef]: - self.graph.add((s, p, o)) - elif type(o) is list: - o_list = BNode() - self.graph.add((s, p, o_list)) - os = Collection(self.graph, o_list) - for item in o: - os.append(Literal(item)) - elif o != '': - self.graph.add((s, p, Literal(o))) - - def _generateStatements(self, subject_node, properties): - """ - properties = {"from_loc" : ["data_table", "no"] - "access_location : ["/path/to/somewhere/", "yes"]} - """ - for (key, values) in list(properties.items()): - if values[1] == 'no': # not a volatile property. - a_node = BNode() - self._addTriple(a_node, RDF['type'], RDF['Statement']) - self._addTriple(a_node, CLP['relatedTo'], Literal(key)) - self._addTriple(a_node, RDF['subject'], subject_node) - self._addTriple(a_node, RDF['predicate'], CLP['hasProperty']) - self._addTriple(a_node, RDF['object'], values[0]) - - def _generateDependencies(self, ap_node, dependencies): - if dependencies: - for dep in dependencies: - d_node = BNode() - self._addTriple(d_node, RDF.type, CLP['dependency']) - self._addTriple( - d_node, CLP['hasDependingItem'], - BNode(_e(dep['depending_parameter']))) - self._addTriple( - d_node, CLP['dependingCondition'], - dep['depending_condition']) - self._addTriple(d_node, CLP['hasDependentItem'], ap_node) - self._addTriple( - d_node, CLP['dependentScope'], dep['dependent_scope']) - self._addTriple(d_node, CLP['effect'], dep['dependent_effect']) - - def _addDict(self, data): - '''convert a dictionary to an RDF graph.''' - - t_node = BNode(_e(data['name'])) - self._addTriple( - t_node, RDF.type, CLP['CommandLineProgramComponentType']) - self._addTriple(t_node, DCTERMS['label'], data['name']) - self._addTriple(t_node, DCTERMS['title'], data['binary']) - self._addTriple(t_node, DCTERMS['description'], data['description']) - self._addTriple(t_node, Component['hasVersion'], data['version']) - self._addTriple(t_node, DCTERMS['comment'], data['help']) - self._generateStatements(t_node, data['property_bag']) - - r_node = BNode() - self._addTriple(t_node, Component['hasExecutionRequirements'], r_node) - self._addTriple(r_node, RDF.type, Component['ExecutionRequirements']) - self._addTriple( - r_node, Component['requiresOperationSystem'], - Component['Linux']) # TODO - if data['interpreter'] != '(binary)': - self._addTriple( - r_node, Component['requiresSoftware'], - Component[data['interpreter']]) - if data['grid_access_type'] != '-': - self._addTriple( - r_node, CLP['gridAccessType'], data['grid_access_type']) - self._addTriple( - r_node, Component['gridID'], data['grid_access_location']) - for req in data['requirements']: - req_node = BNode() - self._addTriple(r_node, CLP['requiresSoftware'], req_node) - self._addTriple(req_node, RDF.type, CLP['Software']) - self._addTriple(req_node, DCTERMS['title'], req['req_name']) - self._addTriple(req_node, CLP['gridID'], req['req_location']) - self._addTriple(req_node, CLP['softwareType'], req['req_type']) - - argument_list = BNode('argument_list') - self._addTriple(t_node, Component['hasArguments'], argument_list) - # self._addTriple(argument_list, RDF.type, - # Component['argumentAndPrefixList']) - argument_nodes = Collection(self.graph, argument_list) - - input_list = BNode('input_list') - self._addTriple(t_node, Component['hasInputs'], input_list) - # self._addTriple(input_list, RDF.type, - # Component['FileOrCollectionList']) - input_nodes = Collection(self.graph, input_list) - - output_list = BNode('output_list') - self._addTriple(t_node, Component['hasOutputs'], output_list) - # self._addTriple(output_list, RDF.type, - # Component['FileOrCollectionList']) - output_nodes = Collection(self.graph, output_list) - - for p in data['parameters']: - ap_node = BNode(_e(p['name'])) - argument_nodes.append(ap_node) - self._addTriple(ap_node, RDF.type, Component['ArgumentAndPrefix']) - - a_node = BNode(_e(p['name']) + '_arg') - self._addTriple(ap_node, Component['hasArgument'], a_node) - - choices = [] - if 'choices' in p and p['choices']: - choices = [x.strip() for x in p['choices'].split(',')] - - p_type = p['type'] - if p_type == 'integer': - self._addTriple(a_node, RDF.type, FO['Int']) - try: - self._addTriple(a_node, FO['hasIntValue'], int(p['value'])) - choices = [int(x) for x in choices] - except ValueError: - pass # do nothing if value is not an integer - elif p_type == 'float': - self._addTriple(a_node, RDF.type, FO['Float']) - try: - self._addTriple( - a_node, FO['hasFloatValue'], float(p['value'])) - choices = [float(x) for x in choices] - except ValueError: - pass # do nothing if value is not a float - elif p_type in ['string', 'select']: - self._addTriple(a_node, RDF.type, FO['String']) - self._addTriple(a_node, FO['hasStringValue'], p['value']) - elif p_type in ['input', 'stdin']: - self._addTriple(a_node, RDF.type, FO['File']) - self._addTriple(a_node, DCTERMS['format'], p['format']) - self._addTriple(a_node, Component['hasValue'], p['value']) - input_nodes.append(a_node) - elif p_type in ['output', 'stdout', 'stderr']: - self._addTriple(a_node, RDF.type, FO['File']) - self._addTriple(a_node, DCTERMS['format'], p['format']) - self._addTriple(a_node, Component['hasValue'], p['value']) - output_nodes.append(a_node) - else: - self._addTriple(a_node, Component['hasValue'], p['value']) - - if choices: - choices = [Literal(x) for x in choices] - choice_list = BNode(_e(p['name'] + '_choice_list')) - choice_nodes = Collection(self.graph, choice_list, choices) - self._addTriple(a_node, CLP['hasValueChoices'], choice_list) - - self._addTriple(ap_node, DCTERMS['title'], p['name']) - self._addTriple(ap_node, DCTERMS['description'], p['description']) - self._addTriple(ap_node, RDFS.label, p['label']) - self._addTriple(ap_node, Component['hasPrefix'], p['arg']) - self._addTriple( - ap_node, CLP['hasAlternativePrefix'], p['arg_long']) - self._addTriple(ap_node, CLP['order'], int(p['rank'])) - self._addTriple(ap_node, CLP['display'], p['display']) - self._addTriple(ap_node, CLP['minOccurrence'], p['min_occurrence']) - self._addTriple(ap_node, CLP['maxOccurrence'], p['max_occurrence']) - - self._generateStatements(ap_node, p['property_bag']) - self._generateDependencies(ap_node, p['dependencies']) - # for - - def _addMetaInfo(self, data): - - # meta data node about the Interface Generator itself. - ig_node = URIRef('http://climate.host.url') - self._addTriple(ig_node, RDF.type, FOAF['Agent']) - self._addTriple(ig_node, DCTERMS['title'], data['meta_title']) - self._addTriple(ig_node, DCTERMS['creator'], data['meta_title']) - self._addTriple(ig_node, DCTERMS['hasVersion'], data['meta_title']) - - m_node = URIRef('') - self._addTriple(m_node, RDF.type, FOAF['Document']) - self._addTriple(m_node, DCTERMS['creator'], ig_node) - self._addTriple(m_node, DCTERMS['created'], datetime.datetime.utcnow()) - self._addTriple( - m_node, RDFS['label'], 'RDF Definition of ' + data['name']) - - def serialize(self, data, format='n3'): - # TODO: current RDFLib doesn't support base url serialization! - base_uri = "http://www.humgen.nl/climate/ontologies/clp" + \ - _e(data['name']) + '.rdf#' - Base = Namespace(base_uri) - self.graph.bind('base', Base) - - self.graph.bind('dcterms', DCTERMS) - self.graph.bind('foaf', FOAF) - self.graph.bind('co', Component) - self.graph.bind('fo', FO) - self.graph.bind('clp', CLP) - - self._addDict(data) - self._addMetaInfo(data) - return self.graph.serialize(format=format) - - -def LocalStart(parser, **kwargs): - '''stub for E.start - set return_parser argument to true''' - global PARSER - PARSER = ORIGINAL_START(parser, - return_parser=True, - **kwargs - ) - raise DummyError() - - -def getDescription(scriptname, docstring): - '''get script description from docstring.''' - - description = scriptname - for line in docstring.split("\n"): - if line.startswith(scriptname): - description = line[line.index("-") + 1:].strip() - break - - return description - - -def guessFormats(scriptname, docstring): - '''guess the input/output format of a script.''' - - input_format, output_format = "tsv", "tsv" - - if "2" in scriptname: - input_format, output_format = scriptname.split("2") - - # map cgat format names to GALAXY ones - input_format = MAP_FORMATS.get(input_format, input_format) - output_format = MAP_FORMATS.get(output_format, output_format) - - return input_format, output_format - - -def buildParam(**kwargs): - '''return a parameter with default values. - - Specific fields can be set by providing keyword arguments. - ''' - - param = {} - - param['label'] = "label" - param['description'] = "description" - param['rank'] = 1 - param['display'] = 'show' - param['min_occurrence'] = 0 - param['max_occurrence'] = 1 - - # get default value - param['value'] = "value" - param['type'] = "text" - param['dependencies'] = {} - param['property_bag'] = {} - param['arg_long'] = '--long-argument' - - param.update(kwargs) - return param - - -def processScript(script_name, outfile, args): - '''process one script.''' - - # call other script - dirname = os.path.dirname(script_name) - basename = os.path.basename(script_name)[:-3] - - if args.src_dir: - dirname = args.src_dir - script_name = os.path.join(dirname, basename) + ".py" - - sys.path.insert(0, dirname) - module = __import__(basename) - - E.start = LocalStart - E.info("loaded modules %s" % module) - try: - module.main(argv=["--help"]) - except DummyError: - pass - - # get script's docstring - docstring = module.__doc__ - - # for k in dir(PARSER): - # print k, getattr(PARSER, k) - # for option in PARSER.option_list: - # print option, option.type, option.help, option._short_opts, - # option._long_opts, option.default - - # @prefix clp: . - # @prefix co: . - # @prefix dcterms: . - - # n = Namespace("http://example.org/people/") - g = Generator() - - data = collections.defaultdict(str) - - data['meta_title'] = 'Interface generator for cgat scripts' - data['meta_author'] = 'Andreas Heger' - data['meta_version'] = 0.1 - - data['name'] = basename - data['interpreter'] = 'python' - data['property_bag'] = {} - data['description'] = getDescription(basename, docstring) - data['help'] = docstring - data['version'] = "1.0" - data['owner'] = "cgat" - data['email'] = "andreas.heger@gmail.com" - data['binary'] = script_name - - # does not output multiple files - data['multiple_output_files'] = False - - input_format, output_format = guessFormats(basename, docstring) - - stdin = {} - stdin['name'] = 'input_file' - stdin['ns_name'] = 'input_file' - stdin['type'] = 'stdin' - stdin['label'] = 'input file' - stdin['description'] = 'input file' - stdin['choices'] = None - stdin['format'] = MAP_TYPE2FORMAT.get(input_format, input_format) - stdin['rank'] = 1 - stdin['display'] = 'show' - stdin['min_occurrence'] = 1 - stdin['max_occurrence'] = 1 - stdin['value'] = "" - stdin['arg'] = "<" - stdin['arg_long'] = "" - stdin['property_bag'] = {} - stdin['dependencies'] = {} - - stdout = {} - stdout['name'] = 'tsvfile' - stdout['ns_name'] = 'tsvfile' - stdout['type'] = 'stdout' - stdout['label'] = 'table' - stdout['description'] = 'bam file' - stdout['choices'] = None - stdout['format'] = MAP_TYPE2FORMAT.get(output_format, output_format) - stdout['rank'] = 1 - stdout['display'] = 'show' - stdout['min_occurrence'] = 1 - stdout['max_occurrence'] = 1 - stdout['value'] = "" - stdout['arg'] = ">" - stdout['arg_long'] = "" - stdout['property_bag'] = {} - stdout['dependencies'] = {} - - outputs = [stdout] - - data['parameters'] = [stdin, stdout] - - defaults = PARSER.get_default_values() - - # flag to indicate wether script needs to go through cgat_wrapper.py - use_wrapper = False - - for option in PARSER.option_list: - # ignore options added by optparse - if option.dest is None: - continue - - # ignore benchmarking options - if option.dest.startswith("timeit"): - continue - - # ignore options related to forcing output - if "force" in option.dest: - continue - - # ignore some special options: - # if option.dest in ("output_filename_pattern", ): - # continue - - # ignore output options - if option.dest in ("stdin", "stdout", "stdlog", "stderr", "loglevel"): - continue - - # remove default from help string - option.help = re.sub("\[[^\]]*%default[^\]]*\]", "", option.help) - - param = buildParam() - - # get command line option call (long/short option) - try: - param['arg'] = option._short_opts[0] - except IndexError: - pass - - try: - param['arg_long'] = option._long_opts[0] - except IndexError: - pass - - assert 'arg' in param or 'arg_long' in param - - # print "----------------------------------" - # print [(x,getattr(option,x)) for x in dir( option )] - - param['name'] = option.dest - param['ns_name'] = option.dest - if option.type == "int": - param['type'] = "integer" - elif option.type == "float": - param['type'] = "float" - elif option.type == "string": - param['type'] = "text" - if option.metavar: - mvar = option.metavar.lower() - if mvar in MAP_TYPE2FORMAT: - param['format'] = MAP_TYPE2FORMAT[mvar] - param['type'] = "data" - if mvar == "bam": - use_wrapper = True - data['parameters'].append(buildParam( - name='wrapper_bam_file', - ns_name='wrapper_bam_file', - arg_long='--wrapper-bam-file', - label=option.dest, - type='data', - format='bam', - help=option.help, - value=getattr(defaults, option.dest))) - - data['parameters'].append(buildParam( - name='wrapper_bam_index', - ns_name='wrapper_bam_index', - arg_long='--wrapper-bai-file', - type='data', - value='${wrapper_bam_file.metadata.bam_index}', - display='hidden')) - - # use long argument - data['parameters'].append(buildParam( - name='wrapper_bam_option', - ns_name='wrapper_bam_option', - arg_long='--wrapper-bam-option', - value=param[ - 'arg_long'], - display='hidden')) - - continue - - elif option.type == "choice": - param['type'] = "select" - param['choices'] = option.choices - if option.action == "append": - param['multiple'] = True - elif option.action.startswith("store"): - param['type'] = "boolean" - else: - raise ValueError("unknown type for %s" % str(option)) - - param['label'] = option.dest - param['description'] = option.help - param['rank'] = 1 - param['display'] = 'show' - param['min_occurrence'] = 0 - param['max_occurrence'] = 1 - - # get default value - param['value'] = getattr(defaults, option.dest) - - param['dependencies'] = {} - param['property_bag'] = {} - - if option.dest == "genome_file": - param['property_bag'] = {'from_loc': 'path', - 'loc_id': 'sam_fa', - 'loc_id_filter': '1'} - - # deal with multiple output files: - if option.dest == "output_filename_pattern": - use_wrapper = True - data['parameters'].append(buildParam( - name='wrapper_html_file', - ns_name='wrapper_html_file', - arg_long='--wrapper-html-file', - value='$html_file', - display='hidden')) - - data['parameters'].append(buildParam( - name='wrapper_html_dir', - ns_name='wrapper_html_dir', - arg_long='--wrapper-html-dir', - value='$html_file.files_path', - display='hidden')) - - outputs.append(buildParam(name='html_file', - ns_name='html_file', - format='html', - label='html'), - ) - continue - - data['parameters'].append(param) - - if args.output_format == "rdf": - outfile.write(g.serialize(data, format='turtle') + "\n") - - else: - raise Exception("The only supported output format is rdf") - - -def main(argv=None): - """script main. - - parses command line options in sys.argv, unless *argv* is given. - """ - - if not argv: - argv = sys.argv - - # setup command line parser - parser = E.ArgumentParser() - - parser.add_argument("--version", action='version', version="1.0") - - parser.add_argument("-f", "--format", dest="output_format", type=str, - choices=("rdf"), - help="output format . ") - - parser.add_argument("-l", "--list", dest="filename_list", type=str, - help="filename with list of files to export " - ". ") - - parser.add_argument("-s", "--source-dir", dest="src_dir", type=str, - help="directory to look for scripts . ") - - parser.add_argument("-r", "--input-regex", dest="input_regex", type=str, - help="regular expression to extract script name " - ". ") - - parser.add_argument("-p", "--output-filename-pattern", dest="output_pattern", - type=str, - help="pattern to build output filename. Should contain " - "an '%s' . ") - - parser.set_defaults(output_format="rdf", - src_dir=None, - input_regex=None, - output_pattern=None, - filename_list=None) - - # add common options (-h/--help, ...) and parse command line - (args) = E.start(parser, argv=argv) - - if len(args) == 0: - E.info("reading script names from stdin") - for line in args.stdin: - if line.startswith("#"): - continue - args.append(line[:-1].split("\t")[0]) - - # start script in order to build the command line parser - global ORIGINAL_START - ORIGINAL_START = E.start - - if args.output_pattern and not args.input_regex: - raise ValueError( - "please specify --input-regex when using " - "--output-filename-pattern") - - for script_name in args: - if not script_name.endswith(".py"): - raise ValueError("expected a python script ending in '.py'") - - if args.input_regex: - try: - input_string = re.search( - args.input_regex, script_name).groups()[0] - except AttributeError: - E.warn("can not parse %s - skipped", script_name) - continue - - if args.output_pattern: - outfile_name = re.sub("%s", input_string, args.output_pattern) - outfile = iotools.open_file(outfile_name, "w") - else: - outfile = args.stdout - - E.info("input=%s, output=%s" % (script_name, outfile_name)) - processScript(script_name, outfile, args) - - if outfile != args.stdout: - outfile.close() - - E.stop() - - -if __name__ == "__main__": - sys.exit(main(sys.argv)) diff --git a/cgat/tools/cgat2rdf/galaxy.xml b/cgat/tools/cgat2rdf/galaxy.xml deleted file mode 100644 index 038dd7979..000000000 --- a/cgat/tools/cgat2rdf/galaxy.xml +++ /dev/null @@ -1,227 +0,0 @@ -{% macro getType(p) -%} - {% if p.type == "None" or p.choices or p.property_bag['from_loc'] or p.type == "boolean" -%} - select - {%- elif p.type in ["input", "stdin"] -%} - data - {%- elif p.type == "string" -%} - text - {%- else -%} - {{ p.type }} - {%- endif -%} -{%- endmacro -%} - -{% macro convertValue(value) -%} - {% if value == "True" -%} - yes - {%- else -%} - no - {%- endif -%} -{%- endmacro -%} - -{#- recursive function to print a parameter and its depenedent parameters -#} -{% macro printParameter(p) -%} - {%- if p.max_occurrence == '?' or p.max_occurrence|int > 1 -%} - - {{ printParameterCore(p) }} - - {%- elif p.name in dependencyMap %} - - {{ printParameterCore(p) }} - {%- for group in dependencyMap[p.name] | groupby('condition') %} - - {% for dependency in group.list -%} - {{ printParameter(dependency.parameter) }} - {%- endfor %} - - {%- endfor %} - - {%- else -%} - {{ printParameterCore(p) }} - {%- endif -%} -{%- endmacro -%} - -{#- Print a single parameter based on it's type. Boolean type is converted into select type. None and empty values are not printed-#} -{% macro printParameterCore(p) -%} - {%- set type = getType(p) -%} - - {{ printSelectOptions(p) }} - - {%- elif type == "data" %} format="{{ p.format }}" /> - {#- added by AH: do not output empty values -#} - {%- elif p.value == None or p.value == "" or p.value == [] %} value="" /> - {%- else %} value="{{ p.value }}" /> - {%- endif -%} -{%- endmacro -%} - -{#- helper function to print select type parameter -#} -{% macro printSelectOptions(p) -%} - {% if p.property_bag -%} - {% if p.property_bag['from_loc'] -%} - - {%- endif -%} - {%- else -%} - {#- added by AH: for boolean choices insert the flag instead -#} - {%- if p.type == "boolean" -%} - - - {%- else -%} - {%- set value = p.choices if p.choices else ['False', 'True'] -%} - {%- for v in value %} - - {%- endfor -%} - {%- endif -%} - {%- endif -%} -{%- endmacro -%} - -{#- helper function to print variable name. -#} -{% macro printVariableName(prefix, name) -%} - {%- if prefix -%} - {{prefix}}.{{name}} - {%- else -%} - {{name}} - {%- endif -%} -{%- endmacro -%} - -{% macro printOption(p, prefix, printValue) -%} - {%- if p.max_occurrence == '?' or p.max_occurrence|int > 1 -%} - #for $i in ${{printVariableName(prefix, p.ns_name)}}_repeat - {{p.arg}} "${i.{{p.ns_name}}}" - #end for - {%- elif p.name in dependencyMap -%} - {%- set prefix = printVariableName(prefix, p.ns_name + '_condition') -%} - {{ printOptionCore(p, prefix, printValue) }} - {%- for group in dependencyMap[p.name] | groupby('condition') %} - {%- set control = 'if' if loop.first else 'elif' %} - #{{control}} str(${{printVariableName(prefix, p.ns_name)}}) == "{{group.grouper}}": - {%- for dependency in group.list %} - {{ printOptionCore(dependency.parameter, prefix, dependency.parameter.display != 'show') }} - {%- endfor %} - {% if loop.last %}#end if {% endif -%} - {%- endfor -%} - {%- else -%} - {{ printOptionCore(p, prefix, printValue) }} - {%- endif %} -{%- endmacro -%} - -{% macro printOptionCore(p, prefix, printValue) -%} - {%- set arg = p.arg_long or p.arg -%} - {%- set c = "=" if arg == p.arg_long else " " -%} - {%- if p.type == "None" and not printValue -%} - {%- set truevalue = p.value if p.value else "True" -%} - #if str(${{printVariableName(prefix, p.ns_name)}}) == "{{ truevalue }}" then "{{arg}}" else "" # - {%- elif p.type == "boolean" and not printValue -%} - {#- added by AH: for boolean values insert a variable -#} - ${{printVariableName(prefix, p.ns_name)}} - {%- elif p.property_bag['from_loc'] == 'path' -%} - {{arg}}{{c}}"${filter(lambda x: str(x[{{p.property_bag.get('loc_id_filter', 0)}}]) == str(${{p.ns_name}}), $__app__.tool_data_tables['{{p.property_bag.get( 'loc_id', data.name )}}_indexes'].get_fields())[0][-1]}" - {%- elif p.property_bag['from_loc'] == 'dbkey' -%} - {{arg}}{{c}}"${filter(lambda x: str(x[1]) == str(${{p.property_bag['loc_id_filter']}}), $__app__.tool_data_tables['{{p.property_bag.get( 'loc_id', data.name)}}_indexes'].get_fields())[0][1]}" - {%- elif not printValue -%} - {%- if p.min_occurrence|int == 0 and (p.value == None or p.value == "") -%} - {#- added by AH: for optional arguments - do not print out None or "" values -#} - #if ${{printVariableName(prefix, p.ns_name)}} - {{arg}}{{c}}${{printVariableName(prefix, p.ns_name)}} - #end if - {%- else -%} - {{arg}}{{c}}"${{printVariableName(prefix, p.ns_name)}}" - {%- endif -%} - {%- elif p.value -%} - {#- this is for hidden parameters: print out an option using its default value. -#} - {%- if p.type == 'select' -%} - {{arg}}{{c}}{{p.value[0]}} - {%- elif p.type in ['integer', 'float'] -%} - {{arg}}{{c}}{{p.value}} - {%- else -%} - {{arg}}{{c}}"{{p.value}}" - {%- endif -%} - {%- else -%} - {{arg}} - {%- endif -%} -{%- endmacro -%} - - - {{ data.description }} - - - {{data.binary}} --verbose=0 - {#- logging to separate file -#} - {#- print out advanced menu options -#} - {%- if showAdvanceMenu %} - #if str($advanced_condition.advanced) == "True": - {%- for parameter in displayMap['show in advanced'] %} - {{ printOption(parameter, 'advanced_condition', False) }} - {%- endfor %} - #else: - {%- for parameter in displayMap['show in advanced'] %} - {{ printOption(parameter, '', True) }} - {%- endfor %} - #end if - {%- endif %} - {%- for parameter in displayMap['normal'] %} - {{ printOption(parameter, '', parameter.display != 'show') }} - {%- endfor %} - {%- for parameter in displayMap['hidden'] %} - {{ printOption(parameter, '', parameter.display != 'show') }} - {%- endfor %} - - - {{data.binary}} - - - {%- for i in displayMap['show'] if i.type not in ['stdout', 'output', 'stderr'] %} - {{ printParameter(i) }} - {%- endfor -%} - {%- if showAdvanceMenu %} - - - - - - - - {%- for i in displayMap['show in advanced'] if i.type not in ['stdout', 'output', 'stderr'] %} - {{ printParameter(i) }} - {%- endfor %} - - - {%- endif %} - - - {%- for o in outputs %} - - {%- if o.dependencies -%} - {% for dep_group in o.dependencies | groupby("dependent_scope") -%} - {%- if dep_group.grouper == 'format' %} - - {%- for dep in dep_group.list %} - - {% endfor -%} - - {% endif -%} - {%- endfor -%} - {% endif -%} - - {% endfor %} - - -{{ data.help|e }} - -{% if data.help %}------{% endif %} - -**Generated By**: - -CGAT Interface Generator {{version}} - -{{time}} - -**Based On**: -{% if data['meta'] %} -{{data['meta']['label']}} - -{{data['meta']['time']}} -{% endif %} - - diff --git a/doc/scripts.rst b/doc/scripts.rst index 6cc10ce47..8432351e2 100644 --- a/doc/scripts.rst +++ b/doc/scripts.rst @@ -208,7 +208,6 @@ Unsorted scripts/bam_vs_bam.rst scripts/bam_vs_bed.rst scripts/bam_vs_gtf.rst - scripts/cgat2rdf.rst scripts/diff_bam.rst scripts/fasta2fasta.rst scripts/fasta2kmercontent.rst diff --git a/tests/cgat2rdf.py/tests.yaml b/tests/cgat2rdf.py/tests.yaml deleted file mode 100644 index 4de2ab029..000000000 --- a/tests/cgat2rdf.py/tests.yaml +++ /dev/null @@ -1,6 +0,0 @@ - -version: - stdin: null - outputs: [stdout] - references: [] - options: --version From 00774387e4b89b69411db36c1771cafa9efcc5ba Mon Sep 17 00:00:00 2001 From: Acribbs Date: Mon, 1 Apr 2024 10:32:18 +0100 Subject: [PATCH 03/24] have updated numpy and pandas to specify correct float and int to satisfy deprication of .int and .float --- cgat/BamTools/bamtools.pyx | 16 ++++++++-------- cgat/BamTools/peakshape.pyx | 6 +++--- cgat/GeneModelAnalysis.pyx | 24 ++++++++++++------------ cgat/Genomics.py | 2 +- cgat/MatrixTools.py | 6 +++--- cgat/SetTools.py | 2 +- cgat/Stats.py | 6 +++--- cgat/tools/diff_bed.py | 4 ++-- cgat/tools/diff_gtf.py | 2 +- 9 files changed, 34 insertions(+), 34 deletions(-) diff --git a/cgat/BamTools/bamtools.pyx b/cgat/BamTools/bamtools.pyx index c3ca9ae2a..09d58e773 100644 --- a/cgat/BamTools/bamtools.pyx +++ b/cgat/BamTools/bamtools.pyx @@ -666,12 +666,12 @@ def bam2stats_count(AlignmentFile samfile, counter.total_read2_is_unmapped = total_read2_is_unmapped counter.total_read2_is_missing = total_read2_is_missing - substitution_rates = numpy.zeros(fastq_nreads, dtype=numpy.float) - insertion_rates = numpy.zeros(fastq_nreads, dtype=numpy.float) - deletion_rates = numpy.zeros(fastq_nreads, dtype=numpy.float) - error_rates = numpy.zeros(fastq_nreads, dtype=numpy.float) - coverages = numpy.zeros(fastq_nreads, dtype=numpy.float) - mask = numpy.ones(fastq_nreads, dtype=numpy.int) + substitution_rates = numpy.zeros(fastq_nreads, dtype=numpy.float64) + insertion_rates = numpy.zeros(fastq_nreads, dtype=numpy.float64) + deletion_rates = numpy.zeros(fastq_nreads, dtype=numpy.float64) + error_rates = numpy.zeros(fastq_nreads, dtype=numpy.float64) + coverages = numpy.zeros(fastq_nreads, dtype=numpy.float64) + mask = numpy.ones(fastq_nreads, dtype=numpy.int64) if outfile_details: header = ["read_md5", @@ -1558,7 +1558,7 @@ def bam2stats_window_count(AlignmentFile samfile, cdef uint32_t ncontigs = len(contigs) cdef int ncolumns = len(columns) cdef numpy.ndarray offsets = numpy.zeros( - ncontigs + 1, dtype=numpy.int32) + ncontigs + 1, dtype=numpy.int64) for idx, length in enumerate(lengths): offsets[idx] = offset @@ -1570,7 +1570,7 @@ def bam2stats_window_count(AlignmentFile samfile, cdef numpy.ndarray window_counts = numpy.zeros( (total_windows, ncolumns), - dtype=numpy.int32) + dtype=numpy.int64) cdef int32_t [:, :] window_counts_view = window_counts diff --git a/cgat/BamTools/peakshape.pyx b/cgat/BamTools/peakshape.pyx index 508a317e5..64867e7e2 100644 --- a/cgat/BamTools/peakshape.pyx +++ b/cgat/BamTools/peakshape.pyx @@ -51,7 +51,7 @@ cdef class Counter: **kwargs ) nbins = len(bins) - 1 - hist = numpy.zeros(nbins, dtype=numpy.int) + hist = numpy.zeros(nbins, dtype=numpy.int64) cdef int lcounts = len(counts) if self.smooth_method is not None: @@ -196,7 +196,7 @@ cdef class Counter: ################################################# # compute histogram nbins = len(bins) - 1 - hist = numpy.zeros(nbins, dtype = numpy.int) + hist = numpy.zeros(nbins, dtype = numpy.int64) # decide in which region to count - interval or window if use_interval: @@ -337,7 +337,7 @@ cdef class CounterBam(Counter): for i from rstart <= i < rend: ccounts[i] += 1 # transfer to numpy count object - counts = numpy.zeros( interval_width, dtype = numpy.int ) + counts = numpy.zeros( interval_width, dtype = numpy.int64) for i from 0 <= i < interval_width: counts[i] = ccounts[i] free( ccounts ) diff --git a/cgat/GeneModelAnalysis.pyx b/cgat/GeneModelAnalysis.pyx index e0463d36a..3bba720a3 100644 --- a/cgat/GeneModelAnalysis.pyx +++ b/cgat/GeneModelAnalysis.pyx @@ -307,9 +307,9 @@ class Counter: return utr5, utr3 cimport numpy -DTYPE_INT = numpy.int +DTYPE_INT = numpy.int64 ctypedef numpy.int_t DTYPE_INT_t -DTYPE_FLOAT = numpy.float +DTYPE_FLOAT = numpy.float64 ctypedef numpy.float_t DTYPE_FLOAT_t @@ -360,8 +360,8 @@ class CounterReadCoverage(Counter): return cdef int length = sum( [x[1] - x[0] for x in segments ] ) - cdef numpy.ndarray[DTYPE_INT_t, ndim=1] counts_sense = numpy.zeros( length, dtype = numpy.int ) - cdef numpy.ndarray[DTYPE_INT_t, ndim=1] counts_antisense = numpy.zeros( length, dtype = numpy.int ) + cdef numpy.ndarray[DTYPE_INT_t, ndim=1] counts_sense = numpy.zeros( length, dtype = numpy.int64) + cdef numpy.ndarray[DTYPE_INT_t, ndim=1] counts_antisense = numpy.zeros( length, dtype = numpy.int64) cdef int p, pos, offset reads_sense, reads_antisense = set(), set() @@ -893,11 +893,11 @@ class CounterReadCountsFull(CounterBAM): x=ndirection_status, y=nexons_status, z=nspliced_status): - counters = numpy.zeros(n, dtype=numpy.float) + counters = numpy.zeros(n, dtype=numpy.float64) counters.shape = (x,y,z) return counters - # counters = numpy.zeros(ncounters, dtype=numpy.float) + # counters = numpy.zeros(ncounters, dtype=numpy.float64) # counters.shape = (ndirection_status, # nexons_status, # nspliced_status) @@ -1072,7 +1072,7 @@ class CounterReadCountsFull(CounterBAM): if not weight_multi_mapping: # convert to full counts - counters = numpy.array(counters, dtype=numpy.int) + counters = numpy.array(counters, dtype=numpy.int64) self.counters = counters self.reads_below_quality = quality_read_status @@ -1415,7 +1415,7 @@ class CounterReadPairCountsFull(CounterBAM): cdef AlignedSegment read1 # define counters, add 1 for quality filtered reads - counters = numpy.zeros(ncounters, dtype=numpy.float) + counters = numpy.zeros(ncounters, dtype=numpy.float64) counters.shape = (npair_status, ndirection_status, nexons_status, @@ -1667,7 +1667,7 @@ class CounterReadPairCountsFull(CounterBAM): if not weight_multi_mapping: # convert to full counts - counters = numpy.array(counters, dtype=numpy.int) + counters = numpy.array(counters, dtype=numpy.int64) self.counters = counters @@ -2308,7 +2308,7 @@ class CounterCoverage(CounterOverlap): l = sum([x[1] - x[0] for x in segments]) - counts = numpy.zeros(l, numpy.int) + counts = numpy.zeros(l, numpy.int64) intervals = set() if contig in self.mIntersectors: @@ -4864,8 +4864,8 @@ class CounterReadExtension(Counter): # create dummy counts vector start, end = 0, 1 - counts.append([numpy.zeros(end - start, numpy.int), - numpy.zeros(end - start, numpy.int)]) + counts.append([numpy.zeros(end - start, numpy.int64), + numpy.zeros(end - start, numpy.int64)]) def __add(counts, positions, offset): l = len(counts) diff --git a/cgat/Genomics.py b/cgat/Genomics.py index a517c785d..1174cd00a 100644 --- a/cgat/Genomics.py +++ b/cgat/Genomics.py @@ -1475,7 +1475,7 @@ def AlignedPair2SubstitutionMatrix(seq1, seq2, alphabet): raise ValueError("two sequences of unequal length submitted") nchars = len(alphabet) - matrix = numpy.zeros((nchars, nchars), numpy.int) + matrix = numpy.zeros((nchars, nchars), numpy.int64) map_char2pos = {} for x in alphabet: diff --git a/cgat/MatrixTools.py b/cgat/MatrixTools.py index d9e353283..bc2421cd6 100644 --- a/cgat/MatrixTools.py +++ b/cgat/MatrixTools.py @@ -210,7 +210,7 @@ def getMatrixFromEdges(lines, options, return matrix -def buildMatrixFromLists(lists, dtype=numpy.float, default=None): +def buildMatrixFromLists(lists, dtype=numpy.float64, default=None): '''build a matrix from a list of lists. Each list is a list of tuples (row, value). @@ -235,7 +235,7 @@ def buildMatrixFromLists(lists, dtype=numpy.float, default=None): return matrix, list(all_rows.keys()) -def buildMatrixFromTables(infiles, column, column_header=0, dtype=numpy.float, +def buildMatrixFromTables(infiles, column, column_header=0, dtype=numpy.float64, default=None): '''build a matrix from a column called *column* in a series of input files. @@ -260,7 +260,7 @@ def buildMatrixFromEdges(edges, is_symmetric=False, missing_value=0, diagonal_value=0, - dtype=numpy.int): + dtype=numpy.int64): """build a matrix from an edge-list representation. For example, the following list of tuples:: diff --git a/cgat/SetTools.py b/cgat/SetTools.py index 7d388a690..641b83f60 100644 --- a/cgat/SetTools.py +++ b/cgat/SetTools.py @@ -97,7 +97,7 @@ def unionIntersectionMatrix(list_of_sets): ''' l = len(list_of_sets) - matrix = numpy.zeros((l, l), dtype=numpy.int) + matrix = numpy.zeros((l, l), dtype=numpy.int64) for x in range(l): xx = list_of_sets[x] for y in range(x): diff --git a/cgat/Stats.py b/cgat/Stats.py index 201836c39..d15c5f380 100644 --- a/cgat/Stats.py +++ b/cgat/Stats.py @@ -594,7 +594,7 @@ def doFDRPython(pvalues, # v[i] = number of observations less than or equal to pvalue[i] # could this be done more elegantly? val2bin = len(bins) - numpy.digitize(pvalues, bins) - v = numpy.zeros(m, dtype=numpy.int) + v = numpy.zeros(m, dtype=numpy.int64) lastbin = None for x in range(m - 1, -1, -1): bin = val2bin[idx[x]] @@ -1155,8 +1155,8 @@ def savitzky_golay(y, window_size, order, deriv=0, rate=1): """ try: - window_size = numpy.abs(numpy.int(window_size)) - order = numpy.abs(numpy.int(order)) + window_size = numpy.abs(numpy.int64(window_size)) + order = numpy.abs(numpy.int64(order)) except ValueError: raise ValueError("window_size and order have to be of type int") if window_size % 2 != 1 or window_size < 1: diff --git a/cgat/tools/diff_bed.py b/cgat/tools/diff_bed.py index d551783c7..96ae5d664 100644 --- a/cgat/tools/diff_bed.py +++ b/cgat/tools/diff_bed.py @@ -117,7 +117,7 @@ def _count(self, filename, idx): nexons_overlapping += 1 start, end = this.start, this.end - counts = numpy.zeros(end - start, numpy.int) + counts = numpy.zeros(end - start, numpy.int64) for other_start, other_end, other_value in intervals: for x in range(max(start, other_start) - start, min(end, other_end) - start): counts[x] += 1 @@ -203,7 +203,7 @@ def _countIndices(self, idx_in, idx): continue nexons_overlapping += 1 - counts = numpy.zeros(end - start, numpy.int) + counts = numpy.zeros(end - start, numpy.int64) for other_start, other_end, other_value in intervals: for x in range(max(start, other_start) - start, min(end, other_end) - start): counts[x] += 1 diff --git a/cgat/tools/diff_gtf.py b/cgat/tools/diff_gtf.py index 26b977229..60ac5d96d 100644 --- a/cgat/tools/diff_gtf.py +++ b/cgat/tools/diff_gtf.py @@ -194,7 +194,7 @@ def _count(self, filename, idx): overlapping_genes.add(this.gene_id) nexons_overlapping += 1 start, end = this.start, this.end - counts = numpy.zeros(end - start, numpy.int) + counts = numpy.zeros(end - start, numpy.int64) for other_start, other_end, other_value in intervals: for x in range(max(start, other_start) - start, min(end, other_end) - start): counts[x] += 1 From 1ef56edfed1cc098713ee68b9c636ad285a8ee8c Mon Sep 17 00:00:00 2001 From: Acribbs Date: Mon, 1 Apr 2024 10:33:10 +0100 Subject: [PATCH 04/24] have removed WrapperCodeML because I have no idea what it does so that we can reduce the amount of code to support --- cgat/WrapperCodeML.py | 2931 ----------------------------------------- 1 file changed, 2931 deletions(-) delete mode 100644 cgat/WrapperCodeML.py diff --git a/cgat/WrapperCodeML.py b/cgat/WrapperCodeML.py deleted file mode 100644 index c57322dd6..000000000 --- a/cgat/WrapperCodeML.py +++ /dev/null @@ -1,2931 +0,0 @@ -''' -WrapperCodeML.py - -====================================================== - -:Tags: Python - -Code ----- - -''' -import sys -import string -import re -import tempfile -import subprocess -import shutil -import random -import traceback -from types import * -from cgatcore import experiment as Experiment -from cgat import TreeTools as TreeTools -from cgatcore import iotools as iotools -from cgat import Tree as Tree -from cgat import Mali as Mali -from cgat import Genomics as Genomics -from cgat import RateEstimation as RateEstimation - - -class Error(Exception): - - """Base class for exceptions in this module.""" - - def __str__(self): - return str(self.message) - - def _get_message(self): - return self._message - - def _set_message(self, message): - self._message = message - message = property(_get_message, _set_message) - - -class ParsingError(Error): - - """Exception raised for errors while parsing - - Attributes: - message -- explanation of the error - """ - - def __init__(self, message, line=None): - if line: - self.message = message + " at line " + line - else: - self.message = message - - -class UsageError(Error): - - """Exception raised for errors while starting - - Attributes: - message -- explanation of the error - """ - - def __init__(self, message): - self.message = message - - -class CodeMLBranchInfo: - - """result with branch information.""" - - def __init__(self, branch1, branch2, kaks, ka, ks, ndn, sds, n, s): - - self.mBranch1 = branch1 - self.mBranch2 = branch2 - self.mKaks = kaks - self.mKa = ka - self.mKs = ks - self.mSds = sds - self.mNdn = ndn - self.mN = n - self.mS = s - - def __str__(self): - return "\t".join((self.mBranch1, self.mBranch2, - str(self.mKaks), str(self.mKa), str(self.mKs), - str(self.mNdn), str(self.mSds))) - - -class CodeMLResult: - - mMaxLineLength = 100 - - def __init__(self): - self.mWarnings = [] - self.mCheckConvergence = False - - def truncateLine(self, line): - if len(line) > self.mMaxLineLength: - return "%s..." % line[:self.mMaxLineLength] - else: - return line - - def mapNames(self, map_old2new): - """map all names.""" - - self.mTreeKs.relabel(map_old2new) - self.mTreeKa.relabel(map_old2new) - self.mTreeKaks.relabel(map_old2new) - self.mTreeSds.relabel(map_old2new) - self.mTreeNdn.relabel(map_old2new) - self.mTreeS.relabel(map_old2new) - self.mTreeN.relabel(map_old2new) - - def __str__(self): - - s = [] - members = self.__dict__ - keys = list(members.keys()) - keys.sort() - - for key in keys: - - if key[0] == 'm': - - m = members[key] - if type(m) in (ListType, TupleType): - for x in range(len(m)): - s.append( - ("%-40s: %s" % (key, - self.truncateLine(str(m[x]))))) - elif type(m) in (DictType,): - for x, y in list(m.items()): - s.append( - ("%-40s: %s: %s" % (key, str(x), - self.truncateLine(str(y))))) - else: - s.append(("%-40s: %s" % (key, self.truncateLine(str(m))))) - - return "\n".join(s) - - def buildTreesFromBranchInfo(self): - """build trees from branch info. - - assumes that codeml prints out parent -> child - """ - # t is a map of parent to children - self.mTreeKs = TreeTools.Graph2Tree( - [(x.mBranch1, x.mBranch2, x.mKs) for x in self.mBranchInfo]) - self.mTreeKa = TreeTools.Graph2Tree( - [(x.mBranch1, x.mBranch2, x.mKa) for x in self.mBranchInfo]) - self.mTreeKaks = TreeTools.Graph2Tree( - [(x.mBranch1, x.mBranch2, x.mKaks) for x in self.mBranchInfo]) - self.mTreeSds = TreeTools.Graph2Tree( - [(x.mBranch1, x.mBranch2, x.mSds) for x in self.mBranchInfo]) - self.mTreeNdn = TreeTools.Graph2Tree( - [(x.mBranch1, x.mBranch2, x.mNdn) for x in self.mBranchInfo]) - self.mTreeS = TreeTools.Graph2Tree( - [(x.mBranch1, x.mBranch2, x.mS) for x in self.mBranchInfo]) - self.mTreeN = TreeTools.Graph2Tree( - [(x.mBranch1, x.mBranch2, x.mN) for x in self.mBranchInfo]) - - -class BaseMLResult(CodeMLResult): - - """result object for BaseML.""" - - def __init__(self): - CodeMLResult.__init__(self) - self.mAlpha = "na" - self.mNumGammaBins = 0 - self.mKappa = "na" - - -class CodeMLResultSites(CodeMLResult): - - """result with site specific information.""" - - def __init__(self, num_sequences, model): - CodeMLResult.__init__(self) - self.mNumSequences = num_sequences - self.mModel = model - self.mNEB = CodeMLResultPositiveSites() - self.mBEB = CodeMLResultPositiveSites() - - -class CodeMLResultPositiveSites(CodeMLResult): - - def __init__(self): - CodeMLResult.__init__(self) - self.mPositiveSites = [] - - -class CodeMLResultPositiveSite: - - def __init__(self, residue, aa, p, w, stderr): - - self.mResidue = residue - self.mAA = aa - self.mProbability = p - self.mOmega = w - self.mStdErr = stderr - - def __str__(self): - return "\t".join(("%i" % self.mResidue, - self.mAA, - "%5.2f" % self.mProbability, - "%5.2f" % self.mOmega, - "%5.2f" % self.mStdErr)) - - -class CodeMLResultPairs(CodeMLResult): - - """results for a pairwise codeml run.""" - - def __init__(self): - CodeMLResult.__init__(self) - self.mPairs = [] - - def fromResult(self, result): - """build pairwise results from tree.""" - - self.mPairs = [] - - nodes = result.mTreeKs.get_terminals() - ids = [result.mTreeKs.node(x).get_data().taxon for x in nodes] - for n1 in range(0, len(nodes)): - for n2 in range(0, n1): - - name1, name2 = nodes[n1], nodes[n2] - pair = CodeMLResultPair() - pair.mName1, pair.mName2 = ids[n1], ids[n2] - pair.mLogLikelihood = result.mLogLikelihood - - pair.mTau, pair.mS, pair.mN, pair.mKa, pair.mKs = \ - (0, - result.mTreeSds.distance(name1, name2), - result.mTreeNdn.distance(name1, name2), - result.mTreeKa.distance(name1, name2), - result.mTreeKs.distance(name1, name2)) - - pair.mKaks = pair.mKa / pair.mKs - pair.mKappa = result.mKappa - - pair.mRn, pair.mRs, pair.mRn0, pair.mRs0, pair.mBranchLength = None, None, None, None, None - self.mPairs.append(pair) - - -class CodeMLResultPair(CodeMLResult): - - """results for a pairwise comparison.""" - - def __init__(self): - CodeMLResult.__init__(self) - self.mError = "" - - -class CodeMLAncestralSequence: - - """an ancestral sequence.""" - - def __init__(self, sequence, accuracy_per_site, accuracy_per_sequence): - self.mSequence = sequence - self.mAccuracyPerSite = accuracy_per_site - self.mAccuracyPerSequence = accuracy_per_sequence - - def __str__(self): - return "\t".join(("%f" % self.mAccuracyPerSite, - "%f" % self.mAccuracyPerSequence, - self.mSequence)) - - -class CodeML: - - """ - """ - - def __init__(self): - - self.mFilenameControl = "codeml.ctl" - - self.mWarnings = [] - - self.mDefaults = {"noisy": "9", - "verbose": "1", - "runmode": "0", - "seqtype": "2", - "CodonFreq": "2", - "clock": "0", - "model": "0", - "NSsites": "0", - "icode": "0", - "fix_kappa": "0", - "kappa": "2", - "fix_omega": "0", - "omega": "0.4", - "fix_alpha": "1", - "alpha": "0", - "fix_rho": "1", - "rho": "0", - "RateAncestor": "0", - "Small_Diff": ".5e-6", - } - - self.mOptions = { - "noisy": {"0": "how much rubbish on screen", - "1": "how much rubbish on screen", - "2": "how much rubbish on screen", - "3": "how much rubbish on screen", - "9": "how much rubbish on screen" - }, - "verbose": {"0": "concise output", - "1": "detailed output", - "2": "too much output" - }, - "runmode": {"0": "user tree", - "1": "semi automatic", - "2": "automatic", - "3": "stepwise addition", - "4": "PerturbationNNI", - "5": "PerturbationNNI", - "-2": "pairwise" - }, - "seqtype": {"1": "Sequence type is codons", - "2": "Sequence type is AAs", - "3": "Sequence type is codons translated to AAs", - }, - "CodonFreq": {"0": "Uniform codon frequencies: 1/61 each", - "1": "Codon frequencies given by F1X4", - "2": "Codon frequencies given by F3X4", - "3": "Codon frequencies given by codon table", - }, - "ndata": {"#": "number of data sets to analyse", - }, - "clock": {"0": "no clock", - "1": "clock", - "2": "local clock", - "3": "Combined Analysis", - }, - "aaDist": {"0": "equal", - "+": "geometric", - "-": "linear", - "1": "G1974", - "2": "Miyata", - "3": "c", - "4": "p", - "5": "v", - "6": "a", - }, - "aaRatefile": {"jones.dat": "Jones", - "dayhoff.data": "Dayhoff", - "wag.dat": "Wag", - "mtmam.dat": "mtmam", - }, - "model": {"0": "Codon: one omega per branch - AA: poisson ", - "1": "Codon: branch specific omega - AA: proportional", - "2": "Codon: 2 or more omega - AA: Empirical", - "3": "Empirical+F", - "6": "FromCodon", - "7": "AAClasses", - "8": "REVaa_0", - "9": "REVaa(nr=189)", - }, - "NSsites": {"0": "no site-specific variation of omega", - "1": "neutral", - "2": "selection", - "3": "discrete", - "4": "freqs", - "5": "gamma", - "6": "2gamma", - "7": "beta", - "8": "beta&w", - "9": "beta&gamma", - "10": "beta&gamma+1", - "11": "beta&normal>1", - "12": "0&2normal>1", - "13": "3normal>0", - }, - "icode": {"0": "Genetic code: universal", - "1": "mammalian mt", - "2": "yeast mt.", - "3": "mold mt.", - "4": "invertebrate mt.", - "5": "ciliate nuclear", - "6": "echinoderm mt.", - "7": "euplotid mt.", - "8": "alternative yeast nu.", - "9": "ascidian mt.", - "10": "blepharisma nu."}, - "Mgene": {"0": "All rates equal between genes (if G option in sequence file: different, but proportional branch lengths)", - "1": "separate", - "2": "different pi", - "3": "different kappa", - "4": "all different", - }, - "fix_kappa": {"0": "kappa is to be estimated", - "1": "kappa is fixed", - }, - "kappa": {"2": "default initial or fixed kappa value.", - "#": "fixed or initial kappa", - }, - "fix_omega": {"0": "omega is to be estimated", - "1": "omega is fixed", - }, - "omega": {"0.4": "default initial of fixed omega value", - "#": "initial or fixed omega", - }, - "fix_alpha": {"0": "alpha is to be estimated", - "1": "alpha is fixed", - }, - "alpha": {"0": "inifinity: fixed alpha", - "#": "discrete gamma model with shape parameter alpha" - }, - "fix_rho": {"0": "rho is to be estimated", - "1": "rho is fixed", - }, - - "fix_blength": {"0": "ignore branch lengths on given tree", - "-1": "use random branch lengths for given tree", - "1": "use branch lengths on given tree as initial values", - "2": "assume branch lengths on given tree to be fixed"}, - - "rho": {"0": "no correlation between sites", - "#": "initial or fixed rho." - }, - "Malpha": {"0": "same alpha for genes", - "1": "different alpha for genes", - }, - "ncatG": {"#": "number of categories for discrete gamma model in site-specific models", - }, - "getSE": {"0": "do not output standard errors of estimates", - "1": "output standard errors of estimates", - }, - "RateAncestor": {"0": "do not calculate ancestral states", - "1": "calculate ancestral states (only works with runmode 0)", - "2": "?"}, - "Small_Diff": {".5e-6": "default value for small difference", - "#": "small difference", - }, - "cleandata": {"0": "do not remove sites with ambiguity characters (default)", - "1": "remove sites with ambiguity characters", - }, - "method": {"0": "simultaneous calculation of parameters", - "1": "one branch at a time calculation of parameters", - }, - } - - self.mExecutable = "codeml" - - self.mFilenameTree = None - self.mFilenameSequences = None - - def GetOptions(self): - """return options in pretty format""" - result = ["# Options for CodeML"] - for var in list(self.mOptions.keys()): - result.append("# %-40s: %s" % (var, self.mOptions[var])) - return string.join(result, "\n") - - # ------------------------------------------------------------------------ - def SetOption(self, option, value): - self.mDefaults[option] = value - - # ------------------------------------------------------------------------ - def AddOptions(self, parser): - """add options to an OptionParser object.""" - parser.add_option("--paml-set-alpha", dest="paml_alpha", type="float", - help="initial alpha value [default=%default].") - - parser.add_option("--paml-fix-alpha", dest="paml_fix_alpha", action="store_true", - help="do not estimate alpha [default=%default].") - - parser.add_option("--paml-set-kappa", dest="paml_kappa", type="float", - help="initial kappa value [default=%default].") - - parser.add_option("--paml-fix-kappa", dest="paml_fix_kappa", action="store_true", - help="do not estimate kappa [default=%default].") - - parser.add_option("--paml-set-clean-data", dest="paml_clean_data", type="choice", - choices=("0", "1"), - help="PAML should cleanup data: 0=only gaps within pair are removed, 1=columns in the mali with gaps are removed [default=%default].") - - parser.set_defaults( - paml_kappa=None, - paml_fix_kappa=False, - paml_alpha=None, - paml_fix_alpha=False, - paml_clean_data=None) - - # ------------------------------------------------------------------------ - def SetOptions(self, options): - """set options from the command line.""" - - if options.paml_kappa is not None: - self.SetOption("kappa", str(options.paml_kappa)) - - if options.paml_fix_kappa: - self.SetOption("fix_kappa", "1") - - if options.paml_alpha is not None: - self.SetOption("alpha", str(options.paml_alpha)) - - if options.paml_fix_alpha: - self.SetOption("fix_alpha", "1") - - if options.paml_clean_data: - self.SetOption("cleandata", options.paml_clean_data) - - # ------------------------------------------------------------------------ - def WriteAlignment(self, mali): - """write alignment in Phylip format.""" - - outfile = open(self.mTempdir + "/" + self.mFilenameSequences, "w") - - mali.writeToFile(outfile, format="phylip") - - outfile.close() - - # ------------------------------------------------------------------------ - def WriteTree(self, tree): - """write tree to file. The root of the tree is removed. - """ - - TreeTools.Unroot(tree) - - outfile = open(self.mTempdir + "/" + self.mFilenameTree, "w") - outfile.write("%s\n" % TreeTools.Tree2Newick(tree)) - outfile.close() - - # ------------------------------------------------------------------------ - def writeControlFile(self, - outfile, - filename_sequences="input", - filename_output="output", - filename_tree=None, - options={}, - ): - """write a codeml.ctl file into outfile. - """ - - outfile.write("seqfile = %s\n" % (filename_sequences)) - - if filename_tree: - outfile.write("treefile = %s\n" % (filename_tree)) - - outfile.write("outfile = %s\n\n" % (filename_output)) - - written_options = {} - - # write set options - for key, vv in list(options.items()): - - if key not in self.mOptions: - raise IndexError("illegal option %s" % key) - - values = vv.strip().split(" ") - - descriptions = [] - for value in values: - if value in self.mOptions[key]: - descriptions.append(self.mOptions[key][value]) - elif "#" in self.mOptions[key]: - try: - v = float(value) - except ValueError: - raise ValueError("not a number: %s for option %s" % - (value, key)) - descriptions.append(self.mOptions[key]["#"]) - else: - raise ValueError( - "illegal value %s for option %s: possible values are: %s" % - (value, key, " ".join(list(self.mOptions[key].keys())))) - - written_options[key] = 1 - description = ";".join(descriptions) - outfile.write("* %s\n %s = %s\n\n" % (description, key, vv)) - - # write default options - for key, vv in list(self.mDefaults.items()): - - if key in written_options: - continue - - if key not in self.mOptions: - raise IndexError("illegal option %s" % key) - - values = vv.strip().split(" ") - - descriptions = [] - for value in values: - if value in self.mOptions[key]: - descriptions.append(self.mOptions[key][value]) - elif "#" in self.mOptions[key]: - try: - v = float(value) - except ValueError: - raise ValueError( - "not a number: %s for option %s" % - (value, key)) - descriptions.append(self.mOptions[key]["#"]) - else: - raise ValueError( - "illegal value %s for option %s: possible values are: %s" % - (value, key, " ".join(list(self.mOptions[key].keys())))) - - written_options[key] = 1 - description = ";".join(descriptions) - outfile.write("* %s\n %s = %s\n\n" % (description, key, vv)) - - # ------------------------------------------------------------------------ - def Run(self, alignment, - tree=None, - dump=0, - test=False, - options={}): - - self.mTempdir = tempfile.mkdtemp() - self.mFilenameSequences = "input" - self.mWarnings = [] - - self.mFilenameOutput = "output" - - if test: - print("# temporary directory is %s" % self.mTempdir) - - if tree: - - # check what kind of tree is given. - if type(tree) == StringType: - t = tree.strip() - if t[0] == "(" and t[-1] in ");": - nexus = TreeTools.Newick2Nexus(tree) - else: - nexus = TreeTools.Newick2Nexus(open(tree, "r")) - t = nexus.trees[0] - else: - t = tree - - # check if identifiers in tree and alignment are the same - identifiers_mali = set(alignment.getIdentifiers()) - identifiers_tree = set(TreeTools.GetTaxa(t)) - - not_in_tree = identifiers_mali.difference(identifiers_tree) - - for x in not_in_tree: - self.mWarnings.append( - "sequence %s not in tree - removed from multiple alignment." % x) - alignment.deleteEntry(x) - - self.mFilenameTree = "tree" - self.WriteTree(t) - else: - self.mFilenameTree = None - - self.mNumSequences = len(alignment) - self.WriteAlignment(alignment) - self.mRunOptions = options - - self.writeControlFile(open(self.mTempdir + "/" + self.mFilenameControl, "w"), - filename_tree=self.mFilenameTree, - options=options) - - s = subprocess.Popen("%s" % (self.mExecutable), - shell=True, - stdout=subprocess.PIPE, - stderr=subprocess.PIPE, - cwd=self.mTempdir, - close_fds=True) - - (out, err) = s.communicate() - - if s.returncode != 0: - raise UsageError("Error in running %s \n%s\n%s\nTemporary directory in %s" % - (self.mExecutable, err, out, self.mTempdir)) - - lines = open("%s/%s" % - (self.mTempdir, self.mFilenameOutput), "r").readlines() - - try: - rst_lines = open("%s/rst", "r").readlines() - except IOError: - rst_lines = None - - if len(lines) == 0: - raise UsageError("Empty result from %s \n%s\n%s\nTemporary directory in %s" % - (self.mExecutable, err, out, self.mTempdir)) - - if dump: - print( - "############################### CONTROL FILE ############################") - print("".join(open(self.mTempdir + "/" + - self.mFilenameControl, "r").readlines())) - print("# result output of %s:\n%s\n######################################" % ( - self.mExecutable, "".join(lines))) - print( - "############################### LOG OUTPUT ############################") - print("# stdout output of %s:\n%s\n######################################" % ( - self.mExecutable, out)) - - if not test: - shutil.rmtree(self.mTempdir) - - return self.parseOutput(lines, out.split("\n"), rst_lines) - - def parseRst(self, inlines, result): - """parse lines from rst file.""" - - lines = self.getSection( - inlines, "List of extant and reconstructed sequences") - - # for PAML 4 use :4 instead of :2 - del lines[:4] - - # for aborted runs or ancestral reconstruction not performed: return - # empty - if len(lines) == 0: - return - - result.mAncestralSequences = {} - ancestral_sequences = [] - - while lines[0] != "\n": - id, sequence = lines[0][:18], lines[0][18:-1] - id = id.strip() - sequence = re.sub("\s", "", sequence) - - del lines[0] - # do not save terminal sequences - if id not in result.mSequences: - if id[:6] != "node #": - raise ParsingError( - "expected ancestral node names to start with 'node #', instead got %s" % id) - else: - id = id[6:] - ancestral_sequences.append((id, sequence)) - else: - result.mAncestralSequences[ - id] = CodeMLAncestralSequence(sequence, 1.0, 1.0) - - while lines and lines[0] == "\n": - del lines[0] - - if not re.match("Overall accuracy", lines[0]): - raise ParsingError( - "expected 'Overall accuracy', instead got %s" % lines[0]) - - del lines[0] - accuracy_per_site = list( - map(float, re.split("\s+", lines[0][:-1].strip()))) - del lines[:3] - accuracy_per_sequence = list(map( - float, re.split("\s+", lines[0][:-1].strip()))) - - for x in range(len(ancestral_sequences)): - id, sequence = ancestral_sequences[x] - result.mAncestralSequences[id] = CodeMLAncestralSequence( - sequence, - accuracy_per_site[x], - accuracy_per_sequence[x]) - - result.mAncestralTree = TreeTools.Graph2Tree( - [(x.mBranch1, x.mBranch2, 1.0) for x in result.mBranchInfo], - label_ancestral_nodes=True) - - def parseSequences(self, lines, result): - - # read sequences - # start from the top and read until line start not with - # "seed used" - while len(lines) and (lines[0] == "" or lines[0] == " " or lines[0].startswith("seed used")): - del lines[0] - - self.mNumSequences, nchar = re.match( - "(\d+)\s+(\d+)", lines[0]).groups() - del lines[0] - del lines[0] - result.mSequences = {} - self.mMapIdentifier2Position = {} - self.mMapPosition2Identifier = [] - while lines[0]: - try: - identifier, sequence = re.match( - "(\S+)\s+(.+)", lines[0]).groups() - except AttributeError: - raise ParsingError("parsing error", lines[0]) - - result.mSequences[identifier] = sequence - self.mMapIdentifier2Position[identifier] = len( - self.mMapIdentifier2Position) - self.mMapPosition2Identifier.append(identifier) - del lines[0] - - def parseVersion(self, lines, result): - - lines = self.getSection(lines, "CODONML", "BASEML") - - # read version information - if lines[0].startswith("CODONML"): - x = re.search( - "CODONML \(in (.+)\)\s+\S+\s+Model:\s+(\S.+)", lines[0].strip()) - if x: - result.mVersion, result.mModel = x.groups() - del lines[0] - - else: - # paml version 4.4c - x = re.search("CODONML \(in (.+)\)\s+input", lines[0].strip()) - if x: - result.mVersion = x.groups()[0] - del lines[0] - try: - result.mModel = re.search( - "Model: (.*)$", lines[0].strip()).groups()[0] - except AttributeError: - raise ParsingError("pattern error", lines[0]) - else: - raise ParsingError("pattern error", lines[0]) - del lines[0] - - # read codon information - try: - result.mFrequencies = re.match( - "Codon frequenc.*: (\S+)", lines[0]).groups()[0] - del lines[0] - except AttributeError: - pass - - # read sequence info - try: - result.mNumSequences, result.mLength = list(map( - int, re.match("ns\s*=\s+(\d+)\s+ls\s*=\s*(\d+)", lines[0]).groups())) - del lines[0] - except AttributeError: - raise ParsingError( - "parsing error: expected ns = 123 ls = 123", lines[0]) - - elif lines[0].startswith("BASEML"): - try: - result.mVersion, result.mModel = re.search( - "BASEML \(in (.+)\)\s+\S+\s+(\S.+)", lines[0].strip()).groups() - del lines[0] - except AttributeError: - raise ParsingError("pattern error", lines[0]) - else: - raise ParsingError("unknown PAML program", lines[0]) - - known_versions = ("paml 3.14b, May 2005", - "paml 3.15, November 2005", - "paml version 4, June 2007", - "paml version 4.4c, August 2010", - "paml version 4.8a, August 2014") - - if result.mVersion not in known_versions: - raise ValueError("unknown paml version '%s'" % result.mVersion) - - def parseSitePatterns(self, inlines, result): - # read site patterns - # todo: reading of site patterns - - lines = self.getSection(inlines, "Printing out site pattern counts") - del lines[0] - self.nextSection(lines) - - del lines[0] - # result.mNumSitePatterns = int( re.match("# site patterns = (\d+)", - # lines[0]).group(1) ) - result.mNumSitePatterns = 0 - del lines[0] - - def parseSequenceDifferences(self, lines, result): - pass - - def parseCodonUsage(self, inlines, result): - - lines = self.getSection(inlines, "Codon usage in sequences") - - def checkSection(self, lines, section_start): - """check if section starts with string section_start.""" - - if not lines: - raise ParsingError("section error - ran out of lines") - - if not lines[0].startswith(section_start): - raise ParsingError("section error - expected '%s'" % section_start, - "\n".join(lines[:3])) - - def getSection(self, lines, *args): - """check if section starts with string section_start.""" - - for x in range(len(lines)): - for a in args: - if lines[x].startswith(a): - return lines[x:] - else: - raise ParsingError( - "section error - can't find section starting with '%s'" % - str(args)) - - def parseNeiGojobori(self, inlines, result): - - lines = self.getSection(inlines, - "Nei & Gojobori 1986. dN/dS (dN, dS)") - - def parseResultsKaks(self, inlines, result): - - lines = self.getSection(inlines, "TREE") - del lines[0] - - if re.match("check convergence..", lines[0]): - del lines[0] - result.mCheckConvergence = True - else: - result.mCheckConvergence = False - - if re.match("This is a rooted tree.", lines[0]): - result.mCheckRootedTree = False - del lines[0] - self.nextSection(lines) - else: - result.mCheckRootedTree = True - - try: - a, b, c = re.match( - "lnL\(ntime:\s*(\d+)\s*np:\s*(\d+)\):\s*(\S+)\s+\S+", lines[0]).groups() - except AttributeError: - raise ParsingError("parsing error", lines[0]) - - result.mNTime, result.mNumParameters, result.mLogLikelihood = int( - a), int(b), float(c) - del lines[0] - - ################################################################# - while not lines[0] == "Detailed output identifying parameters": - del lines[0] - del lines[0] - while not lines[0]: - del lines[0] - - ################################################################# - if re.match("kappa", lines[0]): - result.mKappa = float( - re.match("kappa \(ts/tv\)\s*=\s*(\S+)", lines[0]).groups()[0]) - del lines[0] - self.nextSection(lines) - - if re.match("Parameters in beta", lines[0]): - del lines[0] - result.mBeta = {} - while lines[0]: - - data = re.split("[\s=]+", re.sub("[()]", "", lines[0])) - del lines[0] - for k, val in [(data[x], data[x + 1]) for x in range(0, len(data), 2)]: - result.mBeta[k] = float(val) - - self.nextSection(lines) - ################################################################# - if re.match("dN/dS for site classes", lines[0]): - result.mSiteClassesNumSites = re.search( - "dN/dS for site classes \(K=(\d+)\)", lines[0]).groups()[0] - self.skipSection(lines) - - # note: spaces might be missing, because it seems to a fixed with format. - # This is ok for probabilities (allways less than 1) but a problem for - # w, if it gets larger than 100. Field width seems to be 9. - self.mSiteClassesProbabilities = list(map( - float, re.split("\s+", lines[0])[1:])) - del lines[0] - - ncats = len(self.mSiteClassesProbabilities) - s = lines[0][3:] - self.mSiteClassesOmega = [float(s[x:x + 9]) - for x in range(0, len(s), 9)] - - del lines[0] - self.nextSection(lines) - - ################################################################# - if lines[0][:len("omega (dN/dS)")] == "omega (dN/dS)": - result.mOmega = float( - re.match("omega \(dN/dS\)\s+=\s+(\S+)", lines[0]).groups()[0]) - self.skipSection(lines) - - if lines[0] != "dN & dS for each branch": - raise ParsingError("section error", lines[0]) - del lines[0] - while not lines[0]: - del lines[0] - del lines[0] - del lines[0] - - result.mBranchInfo = [] - - while lines[0]: - - branch, t, S, N, dnds, dn, ds, sds, ndn = re.split("\s+", lines[0]) - - # start counting from 0, correct below to for ancestral nodes - # to use PAML 1-based numbering. - a, b = [int(x) - 1 for x in branch.split("..")] - - if a < result.mNumSequences: - branch1 = self.mMapPosition2Identifier[a] - else: - branch1 = str(a + 1) - - if b < result.mNumSequences: - branch2 = self.mMapPosition2Identifier[b] - else: - branch2 = str(b + 1) - - result.mBranchInfo.append( - CodeMLBranchInfo(branch1, branch2, - float(dnds), float(dn), float(ds), - float(ndn), float(sds), - int(float(S)), int(float(N)))) - del lines[0] - - result.buildTreesFromBranchInfo() - - while not lines[0]: - del lines[0] - - ################################################################# - # the following is optional (only when site specific model = 0) - if re.match("tree length for dN", lines[0]): - result.mTreeLengthKa = float( - re.match("tree length for dN:\s+(\S+)", lines[0]).groups()[0]) - del lines[0] - result.mTreeLengthKs = float( - re.match("tree length for dS:\s+(\S+)", lines[0]).groups()[0]) - del lines[0] - - ################################################################# - if result.mModel in ("free dN/dS Ratios for branches",): - while not lines[0]: - del lines[0] - del lines[0] - result.mPamlTreeKs = lines[0] - del lines[0] - del lines[0] - result.mPamlTreeKa = lines[0] - del lines[0] - - self.nextSection(lines) - - def nextSection(self, lines): - while len(lines) and not lines[0]: - del lines[0] - - def skipSection(self, lines): - - while len(lines) and lines[0]: - del lines[0] - while len(lines) and not lines[0]: - del lines[0] - - def saveSummary(self, result, lines, lines_log=None): - - # save summary - result.mResult = "".join(lines) - - if lines_log: - if lines_log[0] and lines_log[0][-1] == "\n": - lines_log = [x[:-1].strip() for x in lines_log] - result.mLog = "\n".join(lines_log) - self.parseLog(lines_log, result) - - def parseLog(self, lines_log, result): - """parse log output.""" - - rx = re.compile( - "\s+rN\s*=\s*(\S+)\s+rS\s*=\s*(\S+)\s+rN\*\s*=\s*(\S+)\s+rS\*\s*=\s*(\S+)\s+blength\s*=\s*(\S+)") - - result.mRn, result.mRs, result.mRn0, result.mRs0, result.mBranchLength = None, None, None, None, None - - for line in lines_log: - - x = rx.match(line) - if x: - result.mRn, result.mRs, result.mRn0, result.mRs0, result.mBranchLength = list(map( - float, x.groups())) - - def parseOutput(self, lines, lines_log=None, rst_lines=None): - """parse CodeML output. This is rather tricky, as paml output is as - freeformat as it can get. Also, there is a log file and an - output file. Proceed sequentially through file. - - """ - - result = CodeMLResult() - - self.saveSummary(result, lines, lines_log) - - # chop, strip and remove comments - lines = [x[:-1].strip() for x in lines] - - if len(lines) == 0: - raise ParsingError("empty input") - - # parse by sections - self.parseVersion(lines, result) - - self.parseSequences(lines, result) - - self.parseSitePatterns(lines, result) - - self.parseSequenceDifferences(lines, result) - - self.parseCodonUsage(lines, result) - - self.parseResultsKaks(lines, result) - - if rst_lines: - self.parseRst(rst_lines, result) - - return result - - -class CodeMLSites (CodeML): - - def __init__(self): - CodeML.__init__(self) - - def parseOutput(self, lines, lines_log=None, rst_lines=None): - """parse codeml output for site-specific analysis.""" - - result = CodeMLResult() - self.saveSummary(result, lines, lines_log) - - # chop and strip - lines = [x[:-1].strip() for x in [x for x in lines if x[0] != "#"]] - - self.parseSequences(lines, result) - - self.parseSitePatterns(lines, result) - - self.parseVersion(lines, result) - - self.parseSequenceDifferences(lines, result) - - self.parseCodonUsage(lines, result) - - self.parseNeiGojobori(lines, result) - - result.mSites = {} - - # todo: fix parser - while 1: - if not lines: - break - - if not re.match("Model", lines[0]): - raise ParsingError("section error", lines[0]) - - id, name = re.match("Model (\d+): (.+)", lines[0]).groups() - self.skipSection(lines) - - if id not in result.mSites: - result.mSites[id] = CodeMLResultSites( - num_sequences=result.mNumSequences, - model=result.mModel) - - r = result.mSites[id] - r.mSiteModelId, r.mSiteModelName = id, name - - # parse model info - self.parseResultsKaks(lines, r) - - self.parseSites(lines, r) - - if rst_lines: - self.parseRst(rst_lines, result) - - return result - - def parseSitesBayes(self, lines, result): - - if re.match("Naive Empirical Bayes \(NEB\) analysis", lines[0]): - naive = True - elif re.match("Bayes Empirical Bayes \(BEB\) analysis", lines[0]): - naive = False - else: - raise ParsingError("section error", lines[0]) - - del lines[0] - - if re.match("Time used:", lines[0]): - return - - if re.match("Bayes Empirical Bayes \(BEB\) analysis", lines[0]): - return - - del lines[:4] - while 1: - if not lines[0]: - break - - if naive: - residue, aa, p, w = re.match( - "(\d+)\s+(\S)\s+([0-9.]+)[*]{0,2}\s+([0-9.]+)", lines[0]).groups() - stderr = 0 - else: - residue, aa, p, w, stderr = re.match( - "(\d+)\s+(\S)\s+([0-9.]+)[*]{0,2}\s+([0-9.]+) \+\- ([0-9.]+)", lines[0]).groups() - del lines[0] - result.mPositiveSites.append( - CodeMLResultPositiveSite(int(residue), aa, float(p), - float(w), float(stderr))) - - self.nextSection(lines) - - def parseGrids(self, lines, result): - """parse grid information.""" - - if re.match("The grid", lines[0]): - del lines[:2] - - result.mGrid = {} - while lines[0]: - k, vals = lines[0].split(":") - data = re.split("\s+", vals.strip()) - result.mGrid[k.strip()] = list(map(float, data)) - del lines[0] - - self.nextSection(lines) - - if re.match("Posterior on the grid", lines[0]): - del lines[:2] - - result.mGridPosterior = {} - while lines[0]: - k, vals = lines[0].split(":") - data = re.split("\s+", vals.strip()) - result.mGridPosterior[k.strip()] = list(map(float, data)) - del lines[0] - - self.nextSection(lines) - - if re.match("Posterior for p0-p1", lines[0]): - del lines[:2] - - result.mPosteriorP0P1 = [] - while lines[0]: - result.mPosteriorP0P1.append(lines[0]) - del lines[0] - - del lines[0] - - result.PosteriorP0P1Sum = re.match( - "sum of density on p0-p1\s+=\s+([0-9.]+)", lines[0]).groups()[0] - del lines[0] - - self.nextSection(lines) - - def parseSites(self, lines, result): - """parse site specific model results.""" - - while 1: - - if not lines: - break - - if re.match("Time used:", lines[0]): - del lines[0] - break - - if re.match("Naive Empirical Bayes \(NEB\) analysis", lines[0]): - self.parseSitesBayes(lines, result.mNEB) - - elif re.match("Bayes Empirical Bayes \(BEB\) analysis", lines[0]): - self.parseSitesBayes(lines, result.mBEB) - - elif re.match("The grid", lines[0]): - self.parseGrids(lines, result) - - elif re.match("Note:", lines[0]): - result.mWarnings.append(lines[0]) - self.skipSection(lines) - - else: - raise ParsingError("section error", lines[0]) - - self.nextSection(lines) - - -class CodeMLPairwise (CodeML): - - def __init__(self): - CodeML.__init__(self) - - self.mDefaults["runmode"] = "-2" - - def parseLog(self, lines_log, result): - """parse log output. - - This routine collects the rho values for each pair. - """ - self.mRhos = [] - - rx = re.compile( - "\s+rN\s*=\s*(\S+)\s+rS\s*=\s*(\S+)\s+rN\*\s*=\s*(\S+)\s+rS\*\s*=\s*(\S+)\s+blength\s*=\s*(\S+)") - - for line in lines_log: - - x = rx.match(line) - if x: - self.mRhos.append(list(map(float, x.groups()))) - - def parseOutput(self, lines, lines_log=None, rst_lines=None): - """parse codeml output for pairwise rate calculation.""" - - result = CodeMLResultPairs() - - self.saveSummary(result, lines, lines_log) - - # chop and strip - lines = [x[:-1].strip() for x in [x for x in lines if x[0] != "#"]] - - self.parseVersion(lines, result) - - # skip over the next parts, we are not interested - while lines and lines[0][:19] != "pairwise comparison": - del lines[0] - - del lines[0] - - self.nextSection(lines) - - self.parsePairs(lines, result) - - return result - - def parsePairs(self, lines, result): - """parse pairwise results.""" - - while lines: - pair = CodeMLResultPair() - - n1, name1, n2, name2 = re.match( - "(\d+)\s*\((\S+)\)\s*\.\.\.\s*(\d+)\s*\((\S+)\)", lines[0]).groups() - del lines[0] - - pair.mName1, pair.mName2 = name1, name2 - - pair.mLogLikelihood = float( - re.match("lnL =\s*(\S+)", lines[0]).groups()[0]) - del lines[0] - - # the next values are tau, kappa and omega (this might - # change, if some of these are fixed?) - values = list(map(float, re.split("\s+", lines[0].strip()))) - del lines[0] - - if len(values) == 3: - pair.mTau, pair.mKappa, pair.mOmega = values - elif "fix_omega" in self.mRunOptions and self.mRunOptions["fix_omega"] == "1": - pair.mTau, pair.mKappa = values - pair.mOmega = "na" - elif "fix_kappa" in self.mRunOptions and self.mRunOptions["fix_kappa"] == "1": - pair.mTau, pair.mOmega = values - pair.mKappa = "na" - else: - raise ParsingError("can't parse omega and kappa", lines[0]) - - del lines[0] - - tokens = re.split("[\s=]+", lines[0].strip()) - pair.mTau, pair.mS, pair.mN, pair.mKaks, pair.mKa, pair.mKs = list(map( - float, [tokens[x] for x in range(1, len(tokens), 2)])) - del lines[0] - - if self.mRhos: - pair.mRn, pair.mRs, pair.mRn0, pair.mRs0, pair.mBranchLength = self.mRhos[ - len(result.mPairs)] - else: - pair.mRn, pair.mRs, pair.mRn0, pair.mRs0, pair.mBranchLength = None, None, None, None, None - - result.mPairs.append(pair) - - self.nextSection(lines) - - -class BaseML(CodeML): - - def __init__(self): - - CodeML.__init__(self) - - self.mFilenameControl = "baseml.ctl" - self.mDefaults = { - "noisy": "9", - "verbose": "0", - "runmode": "0", - "model": "4", - "Mgene": "0", - "clock": "0", - "fix_kappa": "0", - "kappa": "5", - "fix_alpha": "1", - "alpha": "0", - "Malpha": "0", - "ncatG": "5", - "nparK": "0", - "nhomo": "0", - "getSE": "0", - "RateAncestor": "0", - "Small_Diff": "7e-6", - "cleandata": "1", - "method": "0", - } - - self.mOptions = { - "nhomo": {"0": "homogeneous", - "1": "homogeneous", - "2": "kappa for branches", - "3": "N1", - "3": "N2", - }, - - "nparK": {"0": "no rate classes", - "1": "rate class model - rK", - "2": "rate class model - rK & fK", - "3": "rate class model - rK & MK(1/K)", - "4": "rate class model - rK & MK", - }, - - "noisy": {"0": "how much rubbish on screen", - "1": "how much rubbish on screen", - "2": "how much rubbish on screen", - "3": "how much rubbish on screen", - "9": "how much rubbish on screen" - }, - "verbose": {"0": "concise output", - "1": "detailed output", - "2": "too much output" - }, - "runmode": {"0": "user tree", - "1": "semi automatic", - "2": "automatic", - "3": "stepwise addition", - "4": "PerturbationNNI", - "5": "PerturbationNNI", - "-2": "pairwise" - }, - "seqtype": {"1": "Sequence type is codons", - "2": "Sequence type is AAs", - "3": "Sequence type is codons translated to AAs", - }, - "CodonFreq": {"0": "Uniform codon frequencies: 1/61 each", - "1": "Codon frequencies given by F1X4", - "2": "Codon frequencies given by F3X4", - "3": "Codon frequencies given by codon table", - }, - "ndata": {"#": "number of data sets to analyse", - }, - "clock": {"0": "no clock", - "1": "clock", - "2": "local clock", - "3": "Combined Analysis", - }, - "aaDist": {"0": "equal", - "+": "geometric", - "-": "linear", - "1": "G1974", - "2": "Miyata", - "3": "c", - "4": "p", - "5": "v", - "6": "a", - }, - "aaRatefile": {"jones.dat": "Jones", - "dayhoff.data": "Dayhoff", - "wag.dat": "Wag", - "mtmam.dat": "mtmam", - }, - "model": {"0": "JC69", - "1": "K80", - "2": "F81", - "3": "F84", - "4": "HKY85", - "5": "T92", - "6": "TN93", - "7": "REV", - "8": "UNREST", - "9": "REVu", - "10": "UNRESTu", - }, - - "NSsites": {"0": "no site-specific variation of omega", - "1": "neutral", - "2": "selection", - "3": "discrete", - "4": "freqs", - "5": "gamma", - "6": "2gamma", - "7": "beta", - "8": "beta&w", - "9": "beta&gamma", - "10": "beta&gamma+1", - "11": "beta&normal>1", - "12": "0&2normal>1", - "13": "3normal>0", - }, - "icode": {"0": "Genetic code: universal", - "1": "mammalian mt", - "2": "yeast mt.", - "3": "mold mt.", - "4": "invertebrate mt.", - "5": "ciliate nuclear", - "6": "echinoderm mt.", - "7": "euplotid mt.", - "8": "alternative yeast nu.", - "9": "ascidian mt.", - "10": "blepharisma nu."}, - "Mgene": {"0": "All rates equal between genes (if G option in sequence file: different, but proportional branch lengths)", - "1": "separate", - "2": "different pi", - "3": "different kappa", - "4": "all different", - }, - - "fix_kappa": {"0": "kappa is to be estimated", - "1": "kappa is fixed", - }, - "kappa": {"2": "default initial or fixed kappa value.", - "#": "fixed or initial kappa", - }, - "fix_omega": {"0": "omega is to be estimated", - "1": "omega is fixed", - }, - "omega": {"0.4": "default initial of fixed omega value", - "#": "initial or fixed omega", - }, - "fix_alpha": {"0": "alpha is to be estimated", - "1": "alpha is fixed", - }, - "alpha": {"0": "inifinity: fixed alpha", - "#": "discrete gamma model with shape parameter alpha" - }, - "fix_rho": {"0": "rho is to be estimated", - "1": "rho is fixed", - }, - - "fix_blength": {"0": "ignore branch lengths on given tree", - "-1": "use random branch lengths for given tree", - "1": "use branch lengths on given tree as initial values", - "2": "assume branch lengths on given tree to be fixed"}, - - "rho": {"0": "no correlation between sites", - "#": "initial or fixed rho." - }, - "Malpha": {"0": "same alpha for genes", - "1": "different alpha for genes", - }, - "ncatG": {"#": "number of categories for discrete gamma model in site-specific models", - }, - "getSE": {"0": "do not output standard errors of estimates", - "1": "output standard errors of estimates", - }, - "RateAncestor": {"0": "do not calculate ancestral states", - "1": "calculate ancestral states (only works with runmode 0)", - "2": "?"}, - "Small_Diff": {".5e-6": "default value for small difference", - "#": "small difference", - }, - "cleandata": {"0": "do not remove sites with ambiguity characters (default)", - "1": "remove sites with ambiguity characters", - }, - "method": {"0": "simultaneous calculation of parameters", - "1": "one branch at a time calculation of parameters", - }, - } - - self.mExecutable = "baseml" - - # ------------------------------------------------------------------------ - def AddOptions(self, parser): - """add options to an OptionParser object.""" - CodeML.AddOptions(self, parser) - - parser.add_option("--baseml-model", dest="baseml_model", type="choice", - choices=("T92", "JC69", "F84", - "K80", "F81", "HKY85", "TN93", "REV", "UNREST", "REVU", - "UNRESTU"), - help="baseml model [default=%default].") - - parser.set_defaults(baseml_model="REV") - - # ------------------------------------------------------------------------ - def SetOptions(self, options): - """set options from the command line.""" - CodeML.SetOptions(self, options) - - map_model2index = {} - for key, val in list(self.mOptions["model"].items()): - map_model2index[val] = key - - if options.baseml_model.upper() in map_model2index: - self.SetOption("model", map_model2index[options.baseml_model]) - else: - raise "unknown model for baseml: %s" % options.baseml_model - - def parseOutput(self, lines, lines_log=None, rst_lines=None): - """parse BASEML output. This is rather tricky, as paml output is as - freeformat as it can get. Also, there is a log file and an - output file. Proceed sequentially through file. - - """ - - result = BaseMLResult() - - self.saveSummary(result, lines, lines_log) - - # chop and strip - lines = [x[:-1].strip() for x in lines] - # lines = map(lambda x: x[:-1].strip(), filter( lambda x: x[0] != "#", - # lines )) - - result = BaseMLResult() - - self.parseVersion(lines, result) - - # self.parseSitePatterns( lines, result ) - - # self.parseSequenceDifferences( lines, result ) - - self.parseFrequencies(lines, result) - - self.parseTree(lines, result) - - self.parseParameters(lines, result) - - return result - - def parseFrequencies(self, inlines, result): - """parse frequency section.""" - - lines = self.getSection(inlines, "Frequencies..") - - del lines[0] - del lines[0] - result.mBaseFrequencies = {} - for x in range(self.mNumSequences): - data = re.split("\s+", lines[0]) - del lines[0] - f = {} - for n, y in enumerate(("T", "C", "A", "G")): - f[y] = data[n + 1] - - result.mBaseFrequencies[data[0]] = f - - self.nextSection(lines) - - if not re.match("Homogeneity statistic", lines[0]): - raise ParsingError( - "wrong section, expected 'Homogeneity statistic'", lines[0]) - - result.mX2, result.mG = list(map(float, re.search( - "Homogeneity statistic: X2 = (\S+) G = (\S+)", lines[0]).groups())) - del lines[0] - self.nextSection(lines) - - data = re.split("\s+", lines[0]) - del lines[0] - f = {} - for n, y in enumerate(("T", "C", "A", "G")): - f[y] = data[n + 1] - - result.mBaseFrequencies["average"] = f - - self.nextSection(lines) - - self.nextSection(lines) - - def parseTree(self, lines, result): - - lines = self.getSection(lines, "TREE") - del lines[0] - - try: - a, b, c = re.match( - "lnL\(ntime:\s*(\d+)\s*np:\s*(\d+)\):\s*(\S+)\s+\S+", lines[0]).groups() - except AttributeError: - raise ParsingError("parsing error", lines[0]) - - result.mNTime, result.mNumParameters, result.mLogLikelihood = int( - a), int(b), float(c) - del lines[0] - - while lines and not re.match("tree length", lines[0]): - del lines[0] - - result.mTreeLength = re.match( - "tree length\s+=\s+(\S+)", lines[0]).groups()[0] - del lines[0] - - self.nextSection(lines) - # skip over tree topology - self.skipSection(lines) - - # read rate tree - result.mTree = lines[0] - del lines[0] - - # convert tree to matrix - tree = TreeTools.Newick2Tree(result.mTree) - - result.mDistanceMatrix = {} - - nodes = tree.get_terminals() - for x in range(len(nodes) - 1): - - key1 = tree.node(nodes[x]).data.taxon - - if key1 not in result.mDistanceMatrix: - result.mDistanceMatrix[key1] = {} - - for y in range(x + 1, len(nodes)): - - key2 = tree.node(nodes[y]).data.taxon - if key2 not in result.mDistanceMatrix: - result.mDistanceMatrix[key2] = {} - - d = tree.distance(nodes[x], nodes[y]) - - result.mDistanceMatrix[key1][key2] = d - result.mDistanceMatrix[key2][key1] = d - - self.nextSection(lines) - - def parseParameters(self, inlines, result): - - try: - lines = self.getSection( - inlines, "Detailed output identifying parameters") - except ParsingError: - return - - # read parameters - del lines[0] - self.nextSection(lines) - - if re.match("Parameters \(kappa\)", lines[0]): - del lines[0] - result.mKappa = float(lines[0]) - del lines[0] - self.nextSection(lines) - else: - result.mKappa = "na" - - if not lines: - return - - if re.match("Parameters in the rate matrix", lines[0]): - while not lines[0].startswith("Rate parameters"): - del lines[0] - d = re.split( - "\s+", re.search("Rate parameters: +(.*)", lines[0]).groups()[0]) - result.mRevRateBaseParameters = list(map(float, d)) - del lines[0] - result.mRevBaseFrequencies = list(map( - float, re.split("\s+", re.search("Base frequencies: +(.*)", lines[0]).groups()[0]))) - del lines[0] - try: - result.mRevK = float( - re.match("Rate matrix Q, Average Ts/Tv =\s*(\S+)", lines[0]).groups()[0]) - except AttributeError: - raise ParsingError("could not parse average Ts/Tv", lines[0]) - result.mKappa = float(result.mRevK) - - del lines[0] - self.mRevQ = [] - for x in range(0, 4): - self.mRevQ.append(list(map(float, re.split("\s+", lines[0])))) - del lines[0] - self.nextSection(lines) - - if not len(lines): - return - - if re.match("check convergence..", lines[0]): - del lines[0] - result.mCheckConvergence = True - if len(lines) == 0: - return - - try: - result.mNumGammaBins, result.mAlpha = re.match( - "alpha \(gamma, K=(\d+)\)\s+=\s+(\S+)", lines[0]).groups() - except AttributeError: - raise ParsingError("could not parse alpha and gamma", lines[0]) - - result.mAlpha, result.mNumGammaBins = float( - result.mAlpha), int(result.mNumGammaBins) - del lines[0] - r = re.split("\s+", lines[0])[1:] - del lines[0] - f = re.split("\s+", lines[0])[1:] - result.mGammaBins = [] - for x in range(result.mNumGammaBins): - result.mGammaBins.append({"r": float(r[x]), "f": float(f[x])}) - - -class Evolver: - - """interface class for running evolver. - """ - - def __init__(self): - - self.mExecutable = "evolver" - random.seed() - x = random.randint(0, 10000001) - while x % 2 == 0: - x = random.randint(0, 10000001) - - self.mSeed = x - self.mReplicates = 1 - self.mNucleotides = 1000 - self.mNSequences = 2 - self.mTree = "(1:1,2:1);" - self.mScale = -1 - self.mOmega = 0.3 - self.mKappa = 2 - self.mCodonTable = None - self.mDs = 0.5 - - # runmode 6 = codons (5=na, 7=aa) - self.mRunMode = 6 - - # ------------------------------------------------------------------------ - def setOmega(self, omega): - self.mOmega = omega - - def setKappa(self, kappa): - self.mKappa = kappa - - def setLength(self, length): - self.mNucleotides = length - - def setDs(self, ds): - self.mDs = ds - - def setReplicates(self, replicates): - self.mReplicates = replicates - - # ------------------------------------------------------------------------ - def writeControlFile(self, outfile): - """write control file to outfile.""" - - self.calculateScale(self.mDs) - - if self.mCodonTable is None: - raise ValueError("please supply a codon table") - - self.mNSequences = len( - TreeTools.Newick2Nexus(self.mTree).trees[0].get_taxa()) - - outfile.write("0 * paml format output\n") - outfile.write("%i * random number seed\n" % self.mSeed) - outfile.write("%i %i %i * nsequences nnucleotides nreplicates\n\n" % - (self.mNSequences, - self.mNucleotides, - self.mReplicates)) - - outfile.write( - "%f * tree length (-1 = unscaled)\n" % self.mScale) - outfile.write(self.mTree + "\n\n") - outfile.write("%f * omega\n" % self.mOmega) - outfile.write("%f * kappa\n" % self.mKappa) - outfile.write("\n") - - for c1 in ("T", "C", "A", "G"): - for c2 in ("T", "C", "A", "G"): - for c3 in ("T", "C", "A", "G"): - codon = c1 + c2 + c3 - outfile.write(" %10.9f" % self.mCodonTable[codon]) - outfile.write("\n") - - outfile.write("// end of file\n") - - # ------------------------------------------------------------------------ - def fromMali(self, mali): - """compute codon table from a multiple alignment.""" - self.mCodonTable = {} - for c1 in ("T", "C", "A", "G"): - for c2 in ("T", "C", "A", "G"): - for c3 in ("T", "C", "A", "G"): - codon = c1 + c2 + c3 - self.mCodonTable[codon] = 0 - - for id, i in list(mali.items()): - s = i.mString - for x in range(0, len(s), 3): - codon = s[x:x + 3].upper() - try: - self.mCodonTable[codon] += 1 - except KeyError: - continue - - total = sum(self.mCodonTable.values()) - for codon in list(self.mCodonTable.keys()): - self.mCodonTable[codon] = float(self.mCodonTable[codon]) / total - - # ------------------------------------------------------------------------ - def setUniformFrequencies(self): - """use uniform codon frequencies.""" - self.mCodonTable = {} - - frequency = 1.0 / 61.0 - - for c1 in ("T", "C", "A", "G"): - for c2 in ("T", "C", "A", "G"): - for c3 in ("T", "C", "A", "G"): - codon = c1 + c2 + c3 - if Genomics.IsStopCodon(codon): - self.mCodonTable[codon] = 0.0 - else: - self.mCodonTable[codon] = frequency - - # ------------------------------------------------------------------------ - def calculateScale(self, ds): - """calculate tree scale for a given dS value. - - The branch scale is given by: - - t = 3 dS * ps + 3 omega * dS * (1-ps) - t = 3 dS * (ps + omega (1 - ps ) - """ - - if self.mCodonTable is None: - raise ValueError("please supply a codon table") - - # number of synonymous/non-synonymous sites - Q, t = RateEstimation.getQMatrix( - self.mCodonTable, self.mKappa, 1.0, self.mKappa, 1.0) - - rI, rV, rS, rN = RateEstimation.countSubstitutions(self.mCodonTable, Q) - - ps = rS / (rS + rN) - - self.mScale = 3.0 * self.mDs * (ps + self.mOmega * (1 - ps)) - - # ------------------------------------------------------------------------ - def setTree(self, tree): - """set tree.""" - self.mTree = tree - - # ------------------------------------------------------------------------ - def run(self, ds=None, tree=None, test=False, dump=False): - """run evolver.""" - - self.mTempdir = tempfile.mkdtemp() - - self.mWarnings = [] - - self.mFilenameOutput = "mc.paml" - - if test: - print("# temporary directory is %s" % self.mTempdir) - - if tree: - # check what kind of tree is given. - if type(tree) == StringType: - t = tree.strip() - if t[0] == "(" and t[-1] in ");": - self.mTree = t - else: - nexus = TreeTools.Newick2Nexus(open(tree, "r")) - self.mTree = nexus.trees[0].to_string() - - if ds: - self.mDs = ds - - self.mFilenameControl = "evolver.ctl" - self.writeControlFile( - open(self.mTempdir + "/" + self.mFilenameControl, "w")) - - if dump: - print("################### control file input ########") - infile = open(self.mTempdir + "/" + self.mFilenameControl, "r") - print("".join(infile.readlines())) - infile.close() - - s = subprocess.Popen("%s %i %s" % - (self.mExecutable, self.mRunMode, - self.mFilenameControl), - shell=True, - stdout=subprocess.PIPE, - stderr=subprocess.PIPE, - cwd=self.mTempdir, - close_fds=True) - - (out, err) = s.communicate() - - if s.returncode != 0: - raise UsageError( - "Error in running %s \n%s\n%s\nTemporary directory in %s" % - (self.mExecutable, err, out, self.mTempdir)) - - lines = open("%s/%s" % - (self.mTempdir, self.mFilenameOutput), "r").readlines() - - if len(lines) == 0: - raise UsageError( - "Empty result from %s \n%s\n%s\nTemporary directory in %s" % - (self.mExecutable, err, out, self.mTempdir)) - - if dump: - print("# result output of %s:\n%s\n######################################" % ( - self.mExecutable, "".join(lines))) - print( - "############################### LOG OUTPUT ############################") - print("# stdout output of %s:\n%s\n######################################" % ( - self.mExecutable, out)) - - if not test: - shutil.rmtree(self.mTempdir) - - return self.parseOutput(lines, out.split("\n")) - - def parseOutput(self, lines, lines_log=None, rst_lines=None): - - result = [] - chunk = [] - for line in lines: - line = line.strip() - if not line: - continue - if re.match("\d+", line): - if chunk: - mali = Mali.Mali() - mali.readFromFile(chunk, format="phylip") - result.append(mali) - chunk = [] - chunk.append(line + "\n") - - if chunk: - mali = Mali.Mali() - mali.readFromFile(chunk, format="phylip") - result.append(mali) - - return result - - def printFrequencies(self, outfile): - - if not self.mCodonTable: - outfile.write("# no frequency table defined\n") - else: - codons = list(self.mCodonTable.keys()) - outfile.write("# codon table used in evolver:\n") - for codon in codons: - outfile.write("# %s\t%6.4f\n" % - (codon, self.mCodonTable[codon])) - - -class EvolverBaseml(Evolver): - - """interface class for running evolver for nucleotides. - """ - - def __init__(self, *args, **kwargs): - - Evolver.__init__(self, *args, **kwargs) - - self.mFrequencies = None - - # runmode 5 = codons (5=na, 7=aa) - self.mRunMode = 5 - - self.mKappa = 2.0 - self.mModel = "K80" - self.mModels = {"JC69": 0, - "K80": 1, - "F81": 2, - "F84": 3, - "HKY85": 4, - "T92": 5, - "TN93": 6, - "REV": 7} - - # 0 is same rate over all sites - self.mAlpha = 0 - - # 0 is continuous gamma - self.mGammaCategories = 0 - - # ------------------------------------------------------------------------ - def setModel(self, model): - self.mModel = model.upper() - - # ------------------------------------------------------------------------ - def setUniformFrequencies(self): - self.mFrequencies = {} - for c in ("T", "C", "A", "G"): - self.mFrequencies[c] = 0.25 - - # ------------------------------------------------------------------------ - def fromMali(self, mali): - """compute frequencies from a multiple alignment.""" - self.mFrequencies = {} - for c in ("T", "C", "A", "G"): - self.mFrequencies[c] = 0 - - for id, i in list(mali.items()): - for c in i.mString: - try: - self.mFrequencies[c] += 1 - except KeyError: - continue - - total = sum(self.mFrequencies.values()) - for c in list(self.mFrequecies.keys()): - self.mFrequencies[c] = float(self.mFrequencies[c]) / total - - # ------------------------------------------------------------------------ - def getParameters(self): - """get parameters for a model. - - From the MCbase.dat: - Parameter kappa or rate parameters in the substituton model: - For TN93, two kappa values are required, while for REV, 5 values - (a,b,c,d,e) are required (see Yang 1994 for the definition of these - parameters). - The kappa parameter is defined differently under HKY85 (when k=1 means - no transition bias) and under F84 (when k=0 means no bias). - JC69 and F81 are considered species cases of HKY85, so use 1 for kappa - for those two models. Notation is from my two papers in JME in 1994. - """ - - if self.mModel in ("JC69", "F81"): - self.mKappa = 1.0 - - if self.mModel == "REV": - return (10, 5, 1, 2, 3) - - elif self.mModel == "TN93": - raise NotImplementedError("not implemented") - return (k1, k2) - - else: - return (self.mKappa,) - - # ------------------------------------------------------------------------ - def writeControlFile(self, outfile): - """write control file to outfile.""" - - if self.mModel in ("JC69", "K80"): - self.setUniformFrequencies() - - if self.mFrequencies is None: - raise ValueError("please supply nucleotide frequencies") - - self.mNSequences = len( - TreeTools.Newick2Nexus(self.mTree).trees[0].get_taxa()) - - outfile.write("0 * paml format output\n") - outfile.write("%i * random number seed\n" % self.mSeed) - outfile.write("%i %i %i * nsequences nnucleotides nreplicates\n\n" % - (self.mNSequences, - self.mNucleotides, - self.mReplicates)) - - outfile.write("%f * tree length (-1 = unscaled)\n" % self.mDs) - outfile.write(self.mTree + "\n\n") - outfile.write("%i * model: 0:JC69, 1:K80, 2:F81, 3:F84, 4:HKY85, 5:T92, 6:TN93, 7:REV\n" % - self.mModels[self.mModel]) - outfile.write("%s * kappa or rate parameters in model\n" % - " ".join(map(str, self.getParameters()))) - outfile.write("%f %i * <#categories for discrete gamma>\n" % - (self.mAlpha, self.mGammaCategories)) - outfile.write("\n") - - for c in ("T", "C", "A", "G"): - outfile.write(" %10.9f" % self.mFrequencies[c]) - outfile.write("\n") - for c in ("T", "C", "A", "G"): - outfile.write(" %s" % c) - outfile.write("\n") - - outfile.write("// end of file\n") - - def printFrequencies(self, outfile): - - if not self.mFrequencies: - outfile.write("# no frequency table defined\n") - else: - outfile.write("# frequency table used in evolver:\n") - for c in list(evolver.mFrequencies.keys()): - outfile.write("# %s\t%6.4f\n" % (c, evolver.mFrequencies[c])) - - -def getOptions(options): - """translate command line options to PAML options.""" - - codeml_options = {} - - if options.analysis == "branch-specific-kaks": - codeml_options["seqtype"] = "1" - codeml_options["model"] = "1" - - elif options.analysis == "branch-fixed-kaks": - codeml_options["seqtype"] = "1" - codeml_options["model"] = "0" - - elif options.analysis == "branch-all-but-one-fixed-kaks": - codeml_options["seqtype"] = "1" - codeml_options["model"] = "2" - if not tree: - raise ValueError("please supply a tree for this mode.") - if not options.filename_output_tree: - raise ValueError( - "please speficy filename-output-tree as location " - "(relative to this script) for trees.") - - elif options.analysis == "site-specific-kaks": - codeml_options["ncatG"] = "10" - codeml_options["getSE"] = "1" - codeml_options["seqtype"] = "1" - codeml_options["NSsites"] = "0 3 1 2 7 8" - codeml_options["model"] = "0" - codeml_options["CodonFreq"] = "2" - - elif options.analysis == "pairwise": - codeml_options["seqtype"] = "1" - codeml_options["model"] = "0" - codeml_options["runmode"] = "-2" - - if options.multiple_genes: - codeml_options["Malpha"] = "0" - codeml_options["Mgene"] = "0" - - if options.omega is not None: - codeml_options["omega"] = str(options.omega) - - if options.estimate_ancestors: - codeml_options["RateAncestor"] = "1" - - if options.codon_frequencies is not None: - c = options.codon_frequencies.upper() - if c in ("UNIFORM", "FEQUAL"): - a = "0" - elif c == "F1X4": - a = "1" - elif c == "F3X4": - a = "2" - elif c == "F61": - a = "3" - else: - a = options.codon_frequencies - codeml_options["CodonFreq"] = a - if options.method is not None: - codeml_options["method"] = str(options.method) - - if options.optimization_threshold is not None: - codeml_options["Small_Diff"] = str(options.optimization_threshold) - - if options.clean_data: - codeml_options["cleandata"] = options.clean_data - - return codeml_options - - -def runEvolver(options): - """run evolver.""" - - if options.evolver_model == "codon": - evolver = Evolver() - if options.omega: - evolver.setOmega(options.omega) - else: - evolver = EvolverBaseml() - evolver.setModel(options.evolver_model) - - if options.kappa: - evolver.setKappa(options.kappa) - - if options.evolver_tree: - evolver.setTree(options.evolver_tree) - - if options.evolver_length: - evolver.setLength(options.evolver_length) - - if options.evolver_ds: - evolver.setDs(options.evolver_ds) - - if options.evolver_replicates: - evolver.setReplicates(options.evolver_replicates) - - if options.filename_sequences != "input": - mali = Mali.Mali() - if options.loglevel >= 1: - options.stdlog.write( - "# reading multiple alignment from %s\n" % (options.filename_sequences)) - options.stdlog.flush() - mali.readFromFile(open(options.filename_sequences, "r"), - format="fasta") - if options.loglevel >= 1: - options.stdlog.write("# calculating frequency table\n") - options.stdlog.flush() - - evolver.fromMali(mali) - - if options.loglevel >= 2: - evolver.printFrequencies(options.stdlog) - else: - if options.loglevel >= 1: - options.stdlog.write("# using uniform codon frequencies.\n") - - evolver.setUniformFrequencies() - - if options.write_control_file: - evolver.writeControlFile(sys.stdout) - return - - result = evolver.run( - test=options.test, - dump=options.dump) - - for r in result: - if options.evolver_pairwise: - ids = r.getIdentifiers() - for x in range(0, len(ids)): - for y in range(0, x): - options.stdout.write(">%s\n%s\n>%s\n%s\n" % - (ids[x], - r.getSequence(ids[x]), - ids[y], - r.getSequence(ids[y]))) - else: - r.writeToFile(options.stdout, format="fasta") - - if options.loglevel >= 2: - options.stdlog.write("# Parameters used for evolver\n") - options.stdlog.write("# dS=%f t=%f kappa=%f omega=%f\n" % - (evolver.mDs, - evolver.mScale, - evolver.mKappa, - evolver.mOmega)) - options.stdlog.write("# tree: %s\n" % evolver.mTree) - -if __name__ == "__main__": - - parser = E.OptionParser( - version="%prog version: $Id$") - - parser.add_option( - "--write-control-file", dest="write_control_file", action="store_true", - help="write a control file.") - - parser.add_option( - "--flavour", dest="flavour", type="choice", - choices=("codeml", "baseml", "evolver"), - help="codeml or baseml or evolver, that is the question.") - - parser.add_option( - "--analysis", dest="analysis", type="choice", - choices=("branch-specific-kaks", "branch-fixed-kaks", - "branch-all-but-one-fixed-kaks", "site-specific-kaks", - "pairwise"), - help="choose an analysis scenario.") - - parser.add_option( - "--multiple-genes", dest="multiple_genes", action="store_true", - help="analyse multiple genes.") - parser.add_option( - "-t", "--tree-nh-file", dest="filename_tree", type="string", - help="filename with tree information. Evolver: tree and number of sequences.") - parser.add_option( - "-i", "--filename-sequences", dest="filename_sequences", type="string", - help="filename with sequences. Evolver: determines codon frequencies.") - parser.add_option( - "-o", "--filename-output", dest="filename_output", type="string", - help="filename for output information.") - parser.add_option( - "--filename-clusters", dest="filename_clusters", type="string", - help="filename for cluster information.") - parser.add_option( - "--filename-output-tree", dest="filename_output_tree", type="string", - help="filename pattern for trees to be output.") - parser.add_option( - "-l", "--filename-log", dest="filename_log", type="string", - help="filename for logging information.") - parser.add_option( - "--filename-pattern-control", dest="filename_pattern_control", - type="string", - help="filename with pattern for control files to create.") - parser.add_option( - "--output-pattern-id", dest="output_pattern_id", type="string", - help="output pattern for id.") - parser.add_option( - "-p", "--parse-output", dest="parse_output", type="choice", - choices=("none", "all", "terminal-nodes", "likelihood", - "ancestral-sequence", - "ks-tree", "ka-tree", "kaks-tree", "sds-tree", - "ndn-tree", "s-tree", "n-tree", - "mali", "sequences"), - help="parse output") - parser.add_option( - "-b", "--parse-batch", dest="parse_batch", type="string", - help="""supply a batch file for output parsing. The batch " - "file contains the following (tab-separated): " - "1. name, 2. output-filename, 3. logfile-filename, " - "4. rst-filename, 5. mali filename(fasta) (all options " - "after the second are optional and can be empty.)""") - - parser.add_option( - "--parse-tabular", dest="parse_tabular", action="store_true", - help="""output parsing results in tabular format (default = fasta-like format).""") - parser.add_option( - "--filename-rst", dest="filename_rst", type="string", - help="filename with ancestral data. Needed for parsing ancestral sequences.") - parser.add_option("--set-omega", dest="omega", type="float", - help="initial omega value. Evolver: omega values used for simulation.") - parser.add_option("--set-kappa", dest="kappa", type="float", - help="initial kappa value. Evolver: kappa values used for simulation.") - parser.add_option("--set-codon-frequencies", dest="codon_frequencies", type="string", - help="set codon frequencies.") - parser.add_option("--set-method", dest="method", type="int", - help="set paml optimization method [0|1].") - parser.add_option("--set-optimization-threshold", dest="optimization_threshold", type="string", - help="set paml optimization threshold.") - parser.add_option("--estimate-ancestors", dest="estimate_ancestors", action="store_true", - help="estimat ancestral sequences.") - parser.add_option("--filename-read-tree", dest="input_filename_tree", type="string", - help="filename with tree information to read (synonym for input-filename-tree).") - parser.add_option("--input-filename-tree", dest="input_filename_tree", type="string", - help="filename with tree information.") - parser.add_option("--test", dest="test", action="store_true", - help="run a test.") - parser.add_option("--dump", dest="dump", action="store_true", - help="dump output.") - parser.add_option("--set-clean-data", dest="clean_data", type="choice", - choices=("0", "1"), - help="PAML should cleanup data: 0=only gaps within pair are removed, 1=columns in the mali with gaps are removed.") - - parser.add_option("--filter-output", dest="filter_output", type="choice", action="append", - choices=("ndn", "sds"), - help="filter output. Give values as options to --filter_parameters.") - - parser.add_option("--filter-parameters", dest="filter_parameters", type="string", - help="comma-separated list of filter values.") - - parser.add_option("--evolver-length", dest="evolver_length", type="int", - help="evolver: number of nucleotides/amino acids/codons to simulate.") - - parser.add_option("--evolver-replicates", dest="evolver_replicates", type="int", - help="evolver: number of replicates to simulate.") - - parser.add_option("--evolver-model", dest="evolver_model", type="choice", - choices=( - "T92", "JC69", "F84", "K80", "F81", "HKY85", "TN93", "REV", "codon"), - help="model for evolver[default=%default].") - - parser.add_option("--evolver-ds", dest="evolver_ds", type="float", - help="evolver: ds to use to scale tree.") - - parser.add_option("--evolver-tree", dest="evolver_tree", type="string", - help="Evolver: tree to use. Determines the number of sequences. Default are two sequences.") - - parser.add_option("--filename-mali", dest="filename_mali", type="string", - help="Filename with mali in fasta format. Used for special purpose: map species names back to genes for 1:1 ortholog cluster.") - - parser.add_option("--map-tsv-file", dest="filename_map_old2new", type="string", - help="Filename with map of identifiers mapping from old to new identifiers.") - - parser.add_option("--invert-map", dest="invert_map", action="store_true", - help="invert the mapping, so that old2new is read from new2old [%default].") - - parser.add_option("--evolver-pairwise", dest="evolver_pairwise", action="store_true", - help="output results from evolver simulation as all-on-all sequence pairs [%default].") - - parser.set_defaults( - write_control_file=False, - analysis=None, - filename_tree=None, - filename_output="output", - filename_output_tree=None, - filename_sequences="input", - filename_pattern_control="-", - filename_clusters=None, - filename_log=None, - filename_rst=None, - filename_mali=None, - filename_map_old2new=None, - multiple_genes=False, - parse_output=None, - omega=None, - kappa=None, - codon_frequencies=None, - method=None, - optimization_threshold=None, - output_pattern_id="%s", - input_filename_tree=None, - test=False, - dump=False, - flavour="codeml", - clean_data=None, - filter_output=None, - filter_parameters=None, - evolver_tree=None, - evolver_length=None, - evolver_ds=None, - evolver_model="codon", - estimate_ancestors=False, - parse_batch=None, - parse_tabular=False, - separator="|", - invert_map=False, - evolver_pairwise=False, - ) - - (options, args) = experiment.Start(parser) - - if options.filter_parameters is not None: - options.filter_parameters = options.filter_parameters.split(",") - options.filter_parameters.reverse() - - if options.flavour == "codeml": - if options.analysis in ("branch-specific-kaks", "branch-fixed-kaks", - "branch-all-but-one-fixed-kaks", - "pairwise"): - codeml = CodeML() - - elif options.analysis == "site-specific-kaks": - codeml = CodeMLSites() - - else: - raise ValueError("unknown analysis scenario %s" % options.analysis) - elif options.flavour == "baseml": - if 1: - codeml = BaseML() - else: - raise ValueError("unknown analysis scenario %s" % options.analysis) - elif options.flavour == "evolver": - - runEvolver(options) - experiment.Stop() - sys.exit(0) - - else: - raise ValueError("unknown flavour %s" % options.flavour) - - if options.input_filename_tree: - nexus = TreeTools.Newick2Nexus(open(options.input_filename_tree, "r")) - Tree.updateNexus(nexus) - tree = nexus.trees[0] - else: - tree = None - - ########################################################################## - ########################################################################## - ########################################################################## - # build options - ########################################################################## - codeml_options = getOptions(options) - - ########################################################################## - ########################################################################## - ########################################################################## - # write control file(s) - ########################################################################## - if options.write_control_file: - - if options.filename_clusters: - clusters, nerrors = iotools.ReadList( - open(options.filename_clusters, "r")) - else: - clusters = ("", ) - - nwritten = 0 - - for cluster in clusters: - - id = options.output_pattern_id % cluster - fn_sequences = re.sub("%s", id, options.filename_sequences) - fn_output = re.sub("%s", id, options.filename_output) - if options.filename_tree: - fn_tree = re.sub("%s", id, options.filename_tree) - else: - fn_tree = None - - fn_ctl = re.sub("%s", id, options.filename_pattern_control) - - if options.analysis == "branch-all-but-one-fixed-kaks": - - branch = 0 - # setup branch specific models. - # You need to create a new tree for each one - for node_id, node in list(tree.chain.items()): - if node.prev is None: - continue - - branch += 1 - - fn_branch_ctl = fn_ctl % branch - fn_branch_tree = fn_tree % branch - fn_branch_out = fn_output % branch - - old_name = node.data.taxon - - if node.succ == []: - node.data.taxon += " # 1 " - else: - node.data.taxon = " $ 1 " - - outfile = open(options.filename_output_tree % branch, "w") - outfile.write(TreeTools.Tree2Newick( - tree, with_branch_lengths=False, write_all_taxa=True) + "\n") - outfile.close() - - outfile = open(fn_branch_ctl, "w") - - codeml.writeControlFile(outfile, - filename_sequences=fn_sequences, - filename_output=fn_branch_out, - filename_tree=fn_branch_tree, - options=codeml_options) - outfile.close() - - node.data.taxon = old_name - nwritten += 1 - else: - - if fn_ctl == "-": - outfile = options.stdout - else: - outfile = open(fn_ctl, "w") - - codeml.writeControlFile(outfile, - filename_sequences=fn_sequences, - filename_output=fn_output, - filename_tree=fn_tree, - options=codeml_options) - - if outfile != options.stdout: - outfile.close() - - nwritten += 1 - - if options.loglevel >= 1: - options.stdout.write("# written %i control files.\n" % nwritten) - - ########################################################################## - ########################################################################## - ########################################################################## - # parse output - ########################################################################## - elif options.parse_output: - - filters = [] - if options.filter_output: - for f in options.filter_output: - if f == "sds": - p = options.filter_parameters.pop() - filters.append(lambda x: x.mSds < p) - elif f == "ndn": - p = options.filter_parameters.pop() - filters.append(lambda x: x.mNdn < p) - - batch = [] - ninput, noutput, nerrors = 0, 0, 0 - - if options.parse_batch: - batch = [] - for line in open(options.parse_batch, "r"): - if line[0] == "#": - continue - data = line[:-1].split("\t") - id, filename_log, filename_rst, filename_mali, filename_map_old2new = None, None, None, None, None - if len(data) == 2: - filename_out, id = data - elif len(data) == 3: - filename_out, id, filename_log = data - elif len(data) == 4: - filename_out, id, filename_log, filename_rst = data - elif len(data) == 5: - filename_out, id, filename_log, filename_rst, filename_mali = data - elif len(data) == 6: - filename_out, id, filename_log, filename_rst, filename_mali, filename_map_old2new = data - else: - raise ValueError( - "please supply at least two arguments (filename + id): %s" % str(data)) - - batch.append( - (id, filename_out, filename_log, filename_rst, filename_mali, filename_map_old2new)) - - else: - batch.append((None, None, options.filename_log, options.filename_rst, - options.filename_mali, options.filename_map_old2new)) - - first = True - - for cluster_id, filename_out, filename_log, filename_rst, filename_mali, filename_map_old2new in batch: - - if options.loglevel >= 2: - options.stdlog.write("# processing: id=%s, out=%s, log=%s, rst=%s, mali=%s\n" % - (cluster_id, filename_out, filename_log, filename_rst, filename_mali)) - - try: - if filename_log: - log_lines = open(filename_log, "r").readlines() - else: - log_lines = None - - if filename_rst: - rst_lines = open(filename_rst, "r").readlines() - else: - rst_lines = None - - if filename_out: - out_lines = open(filename_out, "r").readlines() - else: - out_lines = sys.stdin.readlines() - - except IOError as msg: - options.stdlog.write( - "file not found error for cluster id %s: %s\n" % (str(cluster_id), msg)) - traceback.print_exc() - nerrors += 1 - continue - - try: - result = codeml.parseOutput(out_lines, log_lines, rst_lines) - except ParsingError as msg: - options.stdlog.write( - "parsing error for cluster id %s: %s\n" % (str(cluster_id), msg)) - traceback.print_exc() - nerrors += 1 - continue - - if cluster_id and first and options.parse_tabular: - options.stdout.write("id\t") - - if filename_mali: - mali = Mali.Mali() - infile = open(filename_mali, "r") - mali.readFromFile(infile) - map_old2new = {} - for id in mali.getIdentifiers(): - species = id.split(options.separator)[0] - map_old2new[species] = id - - result.mapNames(map_old2new) - infile.close() - - if filename_map_old2new: - map_old2new = iotools.read_map(open(filename_map_old2new)) - if options.invert_map: - map_old2new = iotools.invert_dictionary( - map_old2new, make_unique=True) - result.mapNames(map_old2new) - - if options.parse_output == "all": - output = "%s" % str(result) - - elif options.parse_output == "likelihood": - if first and options.parse_tabular: - options.stdout.write("lnL\tnp\n") - output = "%f\t%i" % ( - result.mLogLikelihood, result.mNumParameters) - - elif options.parse_output == "terminal-nodes": - if first and options.parse_tabular: - options.stdout.write("branch\tka\tks\tkaks\n") - for branch in result.mBranchInfo: - if branch.mBranch1 in result.mSequences: - output = "%s\t%s\t%s\t%s" % (branch.mBranch1, - branch.mKa, branch.mKs, branch.mKaks) - elif branch.mBranch2 in result.mSequences: - output = "%s\t%s\t%s\t%s" % (branch.mBranch2, - branch.mKa, branch.mKs, branch.mKaks) - - elif options.parse_output == "ks-tree": - output = TreeTools.Tree2Newick( - result.mTreeKs, with_branch_lengths=True, write_all_taxa=True) - - elif options.parse_output == "ka-tree": - output = TreeTools.Tree2Newick( - result.mTreeKa, with_branch_lengths=True, write_all_taxa=True) - - elif options.parse_output == "kaks-tree": - output = TreeTools.Tree2Newick( - result.mTreeKaks, with_branch_lengths=True, write_all_taxa=True) - - elif options.parse_output == "sds-tree": - output = TreeTools.Tree2Newick( - result.mTreeSds, with_branch_lengths=True, write_all_taxa=True) - - elif options.parse_output == "ndn-tree": - output = TreeTools.Tree2Newick( - result.mTreeNdn, with_branch_lengths=True, write_all_taxa=True) - - elif options.parse_output == "s-tree": - output = TreeTools.Tree2Newick( - result.mTreeS, with_branch_lengths=True, write_all_taxa=True) - - elif options.parse_output == "n-tree": - output = TreeTools.Tree2Newick( - result.mTreeN, with_branch_lengths=True, write_all_taxa=True) - - elif options.parse_output == "sequences": - output = [] - for id, s in list(result.mSequences.items()): - output.append(">%s\n%s" % (id, s)) - output = "\n".join(output) - - elif options.parse_output == "ancestral-sequence": - - if not hasattr(result, "mAncestralSequences"): - raise ValueError( - "no ancestral sequences defined in result") - - # return most ancestral sequence - # mid-point root the tree with ks and then return the sequence closest to the root. - # this is not the true ancestral sequence, as PAML works on - # unrooted trees. - result.mTreeKs.root_midpoint() - succ = result.mTreeKs.node(result.mTreeKs.root).succ - assert(len(succ) == 2) - if result.mTreeKs.node(succ[0]).data.branchlength < result.mTreeKs.node(succ[1]).data.branchlength: - s = succ[0] - else: - s = succ[1] - - t = result.mAncestralTree.node(s).data.taxon - a = result.mAncestralSequences[t] - - if first and options.parse_tabular: - options.stdout.write( - "taxon\tacc_site\tacc_seq\tsequence\n") - - output = "%s\t%f\t%f\t%s" % (t, - a.mAccuracyPerSite, - a.mAccuracyPerSequence, - a.mSequence) - - elif options.parse_output == "mali": - - # output multiple alignment information - if first and options.parse_tabular: - options.stdout.write("nseq\tlength\tnsite_patterns\n") - - output = "%i\t%i\t%i" % ( - result.mNumSequences, result.mLength, result.mNumSitePatterns) - - if options.parse_tabular: - if cluster_id: - options.stdout.write("%s\t" % cluster_id) - else: - if cluster_id: - options.stdout.write(">%s\n" % (cluster_id)) - - options.stdout.write("%s\n" % (output)) - - noutput += 1 - first = False - - if options.loglevel >= 1: - options.stdlog.write( - "# ninput=%i, noutput=%i, nerrors=%i\n" % (ninput, noutput, nerrors)) - - ########################################################################## - ########################################################################## - ########################################################################## - # do a small test - ########################################################################## - elif options.test: - - alignment = ( - ('Hsa_Human', - "AAGGTCTTTGAAAGGTGTGAGTTGGCCAGAACTCTGAAAAGATTGGGAATGGATGGCTACAGGGGAATCAGCCTAGCAAACTGGATGTGTTTGGCCAAATGGGAGAGTGGTTACAACACACGAGCTACAAACTACAATGCTGGAGACAGAAGCACTGATTATGGGATATTTCAGATCAATAGCCGCTACTGGTGTAATGATGGCAAAACCCCAGGAGCAGTTAATGCCTGTCATTTATCCTGCAGTGCTTTGCTGCAAGATAACATCGCTGATGCTGTAGCTTGTGCAAAGAGGGTTGTCCGTGATCCACAAGGCATTAGAGCATGGGTGGCATGGAGAAATCGTTGTCAAAACAGAGATGTCCGTCAGTATGTTCAAGGTTGTGGAGTG"), - ("Hla_gibbon", - "AAGGTCTTTGAAAGGTGTGAGTTGGCCAGAACTCTGAAAAGATTGGGAATGGATGGCTACAGGGGAATCAGCCTAGCAAACTGGATGTGTTTGGCCAAATGGGAGAGTGGTTATAACACACGAGCTACAAACTACAATCCTGGAGACAGAAGCACTGATTATGGGATATTTCAGATCAATAGCCGCTACTGGTGTAATGATGGCAAAACCCCAGGAGCAGTTAATGCCTGTCATTTATCCTGCAATGCTTTGCTGCAAGATAACATCGCcgatGCTGTAGCTTGTGCAAAGAGGGTTGTCCGcgatCCACAAGGCATTAGAGCATGGGTGGCATGGAGAAATCGTTGTCAAAACAGAGATCTCCGTCAGTATATTCAAGGTTGTGGAGTA"), - ("Cgu/Can_colobus", - "AAGATCTTTGAAAGGTGTGAGTTGGCCAGAACTCTGAAAAAATTGGGACTGGATGGCTACAAGGGAGTCAGCCTAGCAAACTGGGTGTGTTTGGCCAAATGGGAGAGTGGTTATAACACAGACGCTACAAACTACAATCCTGGAGATGAAAGCACTGATTATGGGATATTTCAGATCAATAGCCGCTACTGGTGTAATAATGGCAAAACCCCAGGAGCAGTTAATGCCTGTCATATATCCTGCAATGCTTTGCTGCAAAATAACATCGCTGATGCTGTAGCTTGTGCAAAGAGGGTTGTCAGTGATCCACAAGGCATTCGAGCATGGGTGGCATGGAAAAAGCACTGTCAAAACAGAGATGTCAGTCAGTATGTTGAAGGTTGTGGAGTA"), - ("Pne_langur", - "AAGATCTTTGAAAGGTGTGAGTTGGCCAGAACTCTGAAAAAATTGGGACTGGATGGCTACAAGGGAGTCAGCCTAGCAAACTGGGTGTGTTTGGCCAAATGGGAGAGTGGTTATAACACAGAAGCTACAAACTACAATCCTGGAGACGAAAGCACTGATTATGGGATATTTCAGATCAATAGCCGCTACTGGTGTAATAATGGCAAAACCCCAGGAGCAGTTGATGCCTGTCATATATCCTGCAGTGCTTTGCTGCAAAACAACATCGCTGATGCTGTAGCTTGTGCAAAGAGGGTTGTCAGTGATCCACAAGGCGTTCGAGCATGGGTGGCATGGAGAAATCACTGTCAAAACAAAGATGTCAGTCAGTACGTTAAAGGTTGTGGAGTG"), - ("Mmu_rhesus", - "AAGATCTTTGAAAGGTGTGAGTTGGCCAGAACTCTGAAAAGATTGGGACTGGATGGCTACAGGGGAATCAGCCTAGCAAACTGGGTGTGTTTGGCCAAATGGGAGAGTAATTATAACACACAAGCTACAAACTACAATCCTGGAGACCAAAGCACTGATTATGGGATATTTCAGATCAATAGCCACTACTGGTGTAATAATGGCAAAACCCCAGGAGCAGTTAATGCCTGTCATATATCCTGCAATGCTTTGCTGCAAGATAACATCGCTGATGCTGTAACTTGTGCAAAGAGGGTTGTCAGTGATCCACAAGGCATTAGAGCATGGGTGGCATGGAGAAATCACTGTCAAAACAGAGATGTCAGTCAGTATGTTCAAGGTTGTGGAGTG"), - ("Ssc_squirrelM", - "AAGGTCTTCGAAAGGTGTGAGTTGGCCAGAACTCTGAAAAGGCTTGGAATGGATGGCTACAGGGGAATCAGCCTAGCAAACTGGATGTGTTTGGCCAAATGGGAGAGTGACTATAACACACGTGCTACAAACTACAATCCTGGAGACCAAAGCACTGATTATGGGATATTTCAGATCAATAGCCACTATTGGTGTAATAATGGCAGAACCCCAGGAGCAGTTAATGCCTGTCATATATCCTGCAATGCTTTGCTGCAAGATGACATCACTCAAGCTGTGGCCTGTGCAAAGAGGGTTGTCCGTGATCCACAAGGCATTAGAGCATGGGTGGCATGGAAAGCTCATTGTCAAAACAGAGATGTCAGTCAGTATGTTCAAGGTTGTGGAGTA"), - ("Cja_marmoset", - "AAGGTCTTTGAAAGGTGTGAGTTGGCCAGAACTCTGAAAAGGTTTGGACTGGATGGCTACAGGGGAATCAGCCTAGCAAACTGGATGTGTTTGGCCAAATGGGAGAGTGATTATAACACACGTGCTACAAACTACAATCCTGGAGACCAAAGCACTGATTATGGGATATTTCAGATCAATAGCCACTATTGGTGTAACAATGGCAGAACCCCAGGAGCAGTTAATGCCTGTCATATATCCTGCAATGCTTTGCTGCAAGATGACATCACTGAAGCTGTGGCCTGTGCAAAGAGGGTTGTCCGcgatCCACAAGGCATTAGGGCATGGGTGGCATGGAAAGCTCATTGTCAAAACAGAGATGTCAGTCAGTATGTTCAAGGTTGTGGAGTA"), - ) - - mali = Mali.Mali() - for key, s in alignment: - mali.addSequence(key, 0, len(s), s) - - tree = "((Hsa_Human, Hla_gibbon),((Cgu/Can_colobus, Pne_langur),Mmu_rhesus), (Ssc_squirrelM, Cja_marmoset));" - - result = codeml.Run(mali, tree, - options=codeml_options, - dump=options.dump) - - print(result) - else: - - mali = Mali.Mali() - - mali.readFromFile( - open(options.filename_sequences, "r"), format="fasta") - - # run it on input and dump out the output - result = codeml.Run(mali, options.filename_tree, - options=codeml_options, - dump=options.dump) - - for x in codeml.mWarnings: - options.stdlog.write("# PAML warning: %s\n" % x) - - options.stdout.write(result.mResult + "\n") - - if options.filename_log: - outfile = open(options.filename_log, "w") - else: - outfile = options.stdlog - outfile.write( - "############################### LOG OUTPUT ############################\n") - - outfile.write(result.mLog + "\n") - - if outfile != options.stdlog: - outfile.close() - - experiment.Stop() From 489c5fa0093a6b9ac0f98098d989caec254d45c9 Mon Sep 17 00:00:00 2001 From: Acribbs Date: Mon, 1 Apr 2024 10:34:53 +0100 Subject: [PATCH 05/24] have removed WrapperCodeML documentation too --- doc/modules.rst | 1 - doc/modules/WrapperCodeML.rst | 4 ---- 2 files changed, 5 deletions(-) delete mode 100644 doc/modules/WrapperCodeML.rst diff --git a/doc/modules.rst b/doc/modules.rst index f18b74b82..3a8bf6474 100644 --- a/doc/modules.rst +++ b/doc/modules.rst @@ -68,7 +68,6 @@ output. .. toctree:: :maxdepth: 1 - modules/WrapperCodeML.rst modules/Bioprospector.rst modules/MAST.rst modules/IGV.rst diff --git a/doc/modules/WrapperCodeML.rst b/doc/modules/WrapperCodeML.rst deleted file mode 100644 index 47acbe39d..000000000 --- a/doc/modules/WrapperCodeML.rst +++ /dev/null @@ -1,4 +0,0 @@ - -.. automodule:: WrapperCodeML - :members: - :show-inheritance: From dabdc70faee9947dea90a6803bd0cfb6edf14e43 Mon Sep 17 00:00:00 2001 From: Acribbs Date: Mon, 1 Apr 2024 10:37:00 +0100 Subject: [PATCH 06/24] added import tests to github actions --- .github/workflows/cgatapps_python.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/cgatapps_python.yml b/.github/workflows/cgatapps_python.yml index 1d666e31b..5b2f3d205 100644 --- a/.github/workflows/cgatapps_python.yml +++ b/.github/workflows/cgatapps_python.yml @@ -47,3 +47,4 @@ jobs: pip install nose nosetests -v tests/test_style.py nosetests -v tests/test_scripts.py + nosetests -v tests/test_import.py From bb5893e920117441568518dd0690085a29c246fc Mon Sep 17 00:00:00 2001 From: Acribbs Date: Mon, 1 Apr 2024 11:22:45 +0100 Subject: [PATCH 07/24] updated tests for unstrip, md5sum is different but output looks the same. 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