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#!/usr/bin/env python
from os import getcwd, remove, rmdir, mkdir, path
import tempfile, shutil
from cogent.core.moltype import DNA, RNA, PROTEIN
from cogent.core.alignment import DataError
from cogent.util.unit_test import TestCase, main
from cogent.util.misc import flatten
from cogent.app.clearcut import Clearcut, build_tree_from_alignment,\
_matrix_input_from_dict2d, build_tree_from_distance_matrix
from cogent.util.dict2d import Dict2D
__author__ = "Jeremy Widmann"
__copyright__ = "Copyright 2007-2009, The Cogent Project"
__credits__ = ["Jeremy Widmann"]
__license__ = "GPL"
__version__ = "1.4.1"
__maintainer__ = "Jeremy Widmann"
__email__ = "jeremy.widmann@colorado.edu"
__status__ = "Development"
class GeneralSetUp(TestCase):
def setUp(self):
"""Clearcut general setUp method for all tests"""
self.seqs1 = ['ACUGCUAGCUAGUAGCGUACGUA','GCUACGUAGCUAC',
'GCGGCUAUUAGAUCGUA']
self.labels1 = ['>1','>2','>3']
self.lines1 = flatten(zip(self.labels1,self.seqs1))
self.seqs2=['UAGGCUCUGAUAUAAUAGCUCUC','UAUCGCUUCGACGAUUCUCUGAUAGAGA',
'UGACUACGCAU']
self.labels2=['>a','>b','>c']
self.lines2 = flatten(zip(self.labels2,self.seqs2))
self.temp_dir = tempfile.mkdtemp()
#self.temp_dir_spaces = '/tmp/test for clearcut/'
#try:
# mkdir(self.temp_dir_spaces)
#except OSError:
# pass
try:
#create sequence files
f = open(path.join(self.temp_dir, 'seq1.txt'),'w')
f.write('\n'.join(self.lines1))
f.close()
g = open(path.join(self.temp_dir, 'seq2.txt'),'w')
g.write('\n'.join(self.lines2))
g.close()
except OSError:
pass
class ClearcutTests(GeneralSetUp):
"""Tests for the Clearcut application controller"""
def test_base_command(self):
"""Clearcut BaseCommand should return the correct BaseCommand"""
c = Clearcut()
self.assertEqual(c.BaseCommand,\
''.join(['cd "',getcwd(),'/"; ','clearcut -d -q']))
c.Parameters['--in'].on('seq.txt')
self.assertEqual(c.BaseCommand,\
''.join(['cd "',getcwd(),'/"; ','clearcut -d --in="seq.txt" -q']))
def test_changing_working_dir(self):
"""Clearcut BaseCommand should change according to WorkingDir"""
c = Clearcut(WorkingDir='/tmp/clearcut_test')
self.assertEqual(c.BaseCommand,\
''.join(['cd "','/tmp/clearcut_test','/"; ','clearcut -d -q']))
c = Clearcut()
c.WorkingDir = '/tmp/clearcut_test2'
self.assertEqual(c.BaseCommand,\
''.join(['cd "','/tmp/clearcut_test2','/"; ','clearcut -d -q']))
#removing the dirs is proof that they were created at the same time
#if the dirs are not there, an OSError will be raised
rmdir('/tmp/clearcut_test')
rmdir('/tmp/clearcut_test2')
def test_general_cleanUp(self):
"""Last test executed: cleans up all files initially created"""
# remove the tempdir and contents
shutil.rmtree(self.temp_dir)
#shutil.rmtree(self.temp_dir_spaces)
def test_build_tree_from_alignment(self):
"""Clearcut should return a tree built from the passed alignment"""
tree_short = build_tree_from_alignment(build_tree_seqs_short,\
moltype=DNA)
num_seqs = flatten(build_tree_seqs_short).count('>')
self.assertEqual(len(tree_short.tips()), num_seqs)
tree_long = build_tree_from_alignment(build_tree_seqs_long, moltype=DNA)
seq_names = []
for line in build_tree_seqs_long.split('\n'):
if line.startswith('>'):
seq_names.append(line[1:])
for node in tree_long.tips():
if node.Name not in seq_names:
self.fail()
#repeat with best_tree = True
tree_long = build_tree_from_alignment(build_tree_seqs_long,\
best_tree=True,\
moltype=DNA)
seq_names = []
for line in build_tree_seqs_long.split('\n'):
if line.startswith('>'):
seq_names.append(line[1:])
for node in tree_long.tips():
if node.Name not in seq_names:
self.fail()
#build_tree_from_alignment should raise DataError when constructing
# an Alignment from unaligned sequences. Clearcut only allows aligned
# or a distance matrix as input.
self.assertRaises(DataError,build_tree_from_alignment,\
build_tree_seqs_unaligned,DNA)
def test_matrix_input_from_dict2d(self):
"""matrix_input_from_dict2d formats dict2d object into distance matrix
"""
data = [('sample1aaaaaaa', 'sample2', 1.438), ('sample2', 'sample1aaaaaaa', 1.438), ('sample1aaaaaaa', 'sample3', 2.45678), ('sample3', 'sample1aaaaaaa', 2.45678), ('sample2', 'sample3', 2.7), ('sample3', 'sample2', 2.7)]
data_dict2d = Dict2D(data, Pad=True, Default=0.0)
matrix, int_map = _matrix_input_from_dict2d(data_dict2d)
#of = open('temp.txt', 'w')
#of.write(matrix)
#of.close()
matrix = matrix.split('\n')
self.assertEqual(matrix[0], ' 3')
self.assertEqual(matrix[1], 'env_0 0.0 1.438 2.45678')
self.assertEqual(matrix[2], 'env_1 1.438 0.0 2.7')
self.assertEqual(matrix[3], 'env_2 2.45678 2.7 0.0')
self.assertEqual(int_map['env_1'], 'sample2')
self.assertEqual(int_map['env_0'], 'sample1aaaaaaa')
self.assertEqual(int_map['env_2'], 'sample3')
def test_build_tree_from_distance_matrix(self):
"""build_tree_from_distance_matrix builds a tree from a dict2d
"""
data = [('sample1aaaaaaa', 'sample2', 1.438), ('sample2', 'sample1aaaaaaa', 1.438), ('sample1aaaaaaa', 'sample3', 2.45678), ('sample3', 'sample1aaaaaaa', 2.45678), ('sample2', 'sample3', 2.7), ('sample3', 'sample2', 2.7)]
data_dict2d = Dict2D(data, Pad=True, Default=0.0)
result = build_tree_from_distance_matrix(data_dict2d)
self.assertEqual(str(result), '((sample1aaaaaaa:0.59739,sample2:0.84061),sample3:1.85939);')
align1 = ">seq_0\nACUGCUAGCUAGUAGCGUACGUA\n>seq_1\n---GCUACGUAGCUAC-------\n>seq_2\nGCGGCUAUUAGAUCGUA------"
build_tree_seqs_short = """>clearcut_test_seqs_0
AACCCCCACGGTGGATGCCACACGCCCCATACAAAGGGTAGGATGCTTAAGACACATCGCGTCAGGTTTGTGTCAGGCCT
AGCTTTAAATCATGCCAGTG
>clearcut_test_seqs_1
GACCCACACGGTGGATGCAACAGATCCCATACACCGAGTTGGATGCTTAAGACGCATCGCGTGAGTTTTGCGTCAAGGCT
TGCTTTCAATAATGCCAGTG
>clearcut_test_seqs_2
AACCCCCACGGTGGCAGCAACACGTCACATACAACGGGTTGGATTCTAAAGACAAACCGCGTCAAAGTTGTGTCAGAACT
TGCTTTGAATCATGCCAGTA
>clearcut_test_seqs_3
AAACCCCACGGTAGCTGCAACACGTCCCATACCACGGGTAGGATGCTAAAGACACATCGGGTCTGTTTTGTGTCAGGGCT
TGCTTTACATCATGCAAGTG
>clearcut_test_seqs_4
AACCGCCACGGTGGGTACAACACGTCCACTACATCGGCTTGGAAGGTAAAGACACGTCGCGTCAGTATTGCGTCAGGGCT
TGCTTTAAATCATGCCAGTG
>clearcut_test_seqs_5
AACCCCCGCGGTAGGTGCAACACGTCCCATACAACGGGTTGGAAGGTTAAGACACAACGCGTTAATTTTGTGTCAGGGCA
TGCTTTAAATCATGCCAGTT
>clearcut_test_seqs_6
GACCCCCGCGGTGGCTGCAAGACGTCCCATACAACGGGTTGGATGCTTAAGACACATCGCAACAGTTTTGAGTCAGGGCT
TACTTTAGATCATGCCGGTG
>clearcut_test_seqs_7
AACCCCCACGGTGGCTACAAGACGTCCCATCCAACGGGTTGGATACTTAAGGCACATCACGTCAGTTTTGTGTCAGAGCT
TGCTTTAAATCATGCCAGTG
>clearcut_test_seqs_8
AACCCCCACGGTGGCTGCAACACGTGGCATACAACGGGTTGGATGCTTAAGACACATCGCCTCAGTTTTGTGTCAGGGCT
TGCATTAAATCATGCCAGTG
>clearcut_test_seqs_9
AAGCCCCACGGTGGCTGAAACACATCCCATACAACGGGTTGGATGCTTAAGACACATCGCATCAGTTTTATGTCAGGGGA
TGCTTTAAATCCTGACAGCG
"""
build_tree_seqs_long = """>clearcut_test_seqs_0
AACCCCCACGGTGGATGCCACACGCCCCATACAAAGGGTAGGATGCTTAAGACACATCGCGTCAGGTTTGTGTCAGGCCT
AGCTTTAAATCATGCCAGTG
>clearcut_test_seqsaaaaaaaa_1
GACCCACACGGTGGATGCAACAGATCCCATACACCGAGTTGGATGCTTAAGACGCATCGCGTGAGTTTTGCGTCAAGGCT
TGCTTTCAATAATGCCAGTG
>clearcut_test_seqsaaaaaaaa_2
AACCCCCACGGTGGCAGCAACACGTCACATACAACGGGTTGGATTCTAAAGACAAACCGCGTCAAAGTTGTGTCAGAACT
TGCTTTGAATCATGCCAGTA
>clearcut_test_seqsaaaaaaaa_3
AAACCCCACGGTAGCTGCAACACGTCCCATACCACGGGTAGGATGCTAAAGACACATCGGGTCTGTTTTGTGTCAGGGCT
TGCTTTACATCATGCAAGTG
>clearcut_test_seqsaaaaaaaa_4
AACCGCCACGGTGGGTACAACACGTCCACTACATCGGCTTGGAAGGTAAAGACACGTCGCGTCAGTATTGCGTCAGGGCT
TGCTTTAAATCATGCCAGTG
>clearcut_test_seqsaaaaaaaa_5
AACCCCCGCGGTAGGTGCAACACGTCCCATACAACGGGTTGGAAGGTTAAGACACAACGCGTTAATTTTGTGTCAGGGCA
TGCTTTAAATCATGCCAGTT
>clearcut_test_seqsaaaaaaaa_6
GACCCCCGCGGTGGCTGCAAGACGTCCCATACAACGGGTTGGATGCTTAAGACACATCGCAACAGTTTTGAGTCAGGGCT
TACTTTAGATCATGCCGGTG
>clearcut_test_seqsaaaaaaaa_7
AACCCCCACGGTGGCTACAAGACGTCCCATCCAACGGGTTGGATACTTAAGGCACATCACGTCAGTTTTGTGTCAGAGCT
TGCTTTAAATCATGCCAGTG
>clearcut_test_seqsaaaaaaaa_8
AACCCCCACGGTGGCTGCAACACGTGGCATACAACGGGTTGGATGCTTAAGACACATCGCCTCAGTTTTGTGTCAGGGCT
TGCATTAAATCATGCCAGTG
>clearcut_test_seqsaaaaaaaa_9
AAGCCCCACGGTGGCTGAAACACATCCCATACAACGGGTTGGATGCTTAAGACACATCGCATCAGTTTTATGTCAGGGGA
TGCTTTAAATCCTGACAGCG
"""
#Unaligned seqs. First two sequences are 3 nucleotides shorter.
build_tree_seqs_unaligned = """>clearcut_test_seqs_0
CCCCACGGTGGATGCCACACGCCCCATACAAAGGGTAGGATGCTTAAGACACATCGCGTCAGGTTTGTGTCAGGCCT
AGCTTTAAATCATGCCAGTG
>clearcut_test_seqs_1
CCACACGGTGGATGCAACAGATCCCATACACCGAGTTGGATGCTTAAGACGCATCGCGTGAGTTTTGCGTCAAGGCT
TGCTTTCAATAATGCCAGTG
>clearcut_test_seqs_2
AACCCCCACGGTGGCAGCAACACGTCACATACAACGGGTTGGATTCTAAAGACAAACCGCGTCAAAGTTGTGTCAGAACT
TGCTTTGAATCATGCCAGTA
>clearcut_test_seqs_3
AAACCCCACGGTAGCTGCAACACGTCCCATACCACGGGTAGGATGCTAAAGACACATCGGGTCTGTTTTGTGTCAGGGCT
TGCTTTACATCATGCAAGTG
>clearcut_test_seqs_4
AACCGCCACGGTGGGTACAACACGTCCACTACATCGGCTTGGAAGGTAAAGACACGTCGCGTCAGTATTGCGTCAGGGCT
TGCTTTAAATCATGCCAGTG
>clearcut_test_seqs_5
AACCCCCGCGGTAGGTGCAACACGTCCCATACAACGGGTTGGAAGGTTAAGACACAACGCGTTAATTTTGTGTCAGGGCA
TGCTTTAAATCATGCCAGTT
>clearcut_test_seqs_6
GACCCCCGCGGTGGCTGCAAGACGTCCCATACAACGGGTTGGATGCTTAAGACACATCGCAACAGTTTTGAGTCAGGGCT
TACTTTAGATCATGCCGGTG
>clearcut_test_seqs_7
AACCCCCACGGTGGCTACAAGACGTCCCATCCAACGGGTTGGATACTTAAGGCACATCACGTCAGTTTTGTGTCAGAGCT
TGCTTTAAATCATGCCAGTG
>clearcut_test_seqs_8
AACCCCCACGGTGGCTGCAACACGTGGCATACAACGGGTTGGATGCTTAAGACACATCGCCTCAGTTTTGTGTCAGGGCT
TGCATTAAATCATGCCAGTG
>clearcut_test_seqs_9
AAGCCCCACGGTGGCTGAAACACATCCCATACAACGGGTTGGATGCTTAAGACACATCGCATCAGTTTTATGTCAGGGGA
TGCTTTAAATCCTGACAGCG
"""
if __name__ == '__main__':
main()
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