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test_util.py
executable file
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test_util.py
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#!/usr/bin/env python
from __future__ import division
__author__ = "Greg Caporaso"
__copyright__ = "Copyright 2011, The QIIME Project"
#remember to add yourself if you make changes
__credits__ = ["Rob Knight", "Daniel McDonald", "Greg Caporaso",
"Justin Kuczynski", "Catherine Lozupone",
"Jai Ram Rideout", "Yoshiki Vazquez Baeza"]
__license__ = "BSD"
__version__ = "1.7.0-dev"
__maintainer__ = "Greg Caporaso"
__email__ = "gregcaporaso@gmail.com"
__status__ = "Development"
from unittest import TestCase, main
from numpy.testing import assert_almost_equal
from numpy import array, isnan, asarray, arange
from builtins import chr as py_unichr
from scipy.spatial import procrustes
from emperor.qiime_backports.parse import (parse_mapping_file_to_dict,
QiimeParseError)
from emperor.qiime_backports.util import (MetadataMap, is_valid_git_sha1,
is_valid_git_refname, summarize_pcoas, _flip_vectors,
_compute_jn_pcoa_avg_ranges, matrix_IQR, idealfourths, IQR)
class TopLevelTests(TestCase):
def setup(self):
pass
def test_flip_vectors(self):
"""_flip_vectors makes a new PCA matrix with correct signs"""
m_matrix = array([[1.0, 0.0, 1.0], [2.0, 4.0, 4.0]])
jn_matrix = array([[1.2, 0.1, -1.2], [2.5, 4.0, -4.5]])
new_matrix = _flip_vectors(jn_matrix, m_matrix)
assert_almost_equal(new_matrix, array([[1.2, 0.1, 1.2], [2.5, 4.0, 4.5]]))
def test_compute_jn_pcoa_avg_ranges(self):
"""_compute_jn_pcoa_avg_ranges works
"""
jn_flipped_matrices = [array([[2.0,4.0, -4.5],[-1.2,-0.1,1.2]]),\
array([[3.0,4.0, -4.5],[-1.2,-0.1,1.2]]),\
array([[4.0,4.0, -4.5],[-1.2,-0.1,1.2]]),\
array([[5.0,4.0, -4.5],[-1.2,-0.1,1.2]]),\
array([[6.0,4.0, -4.5],[-1.2,-0.1,1.2]]),\
array([[7.0,4.0, -4.5],[-1.2,-0.1,1.2]]),\
array([[1.0,4.0, -4.5],[-1.2,-0.1,1.2]])]
avg_matrix, low_matrix, high_matrix = _compute_jn_pcoa_avg_ranges(\
jn_flipped_matrices, 'ideal_fourths')
assert_almost_equal(avg_matrix[(0,0)], 4.0)
assert_almost_equal(avg_matrix[(0,2)], -4.5)
assert_almost_equal(low_matrix[(0,0)], 2.16666667)
assert_almost_equal(high_matrix[(0,0)], 5.83333333)
avg_matrix, low_matrix, high_matrix = _compute_jn_pcoa_avg_ranges(\
jn_flipped_matrices, 'sdev')
x = array([m[0,0] for m in jn_flipped_matrices])
self.assertEqual(x.mean(),avg_matrix[0,0])
self.assertEqual(-x.std(ddof=1)/2,low_matrix[0,0])
self.assertEqual(x.std(ddof=1)/2,high_matrix[0,0])
def test_summarize_pcoas(self):
"""summarize_pcoas works
"""
master_pcoa = [['1', '2', '3'], \
array([[-1.0, 0.0, 1.0], [2.0, 4.0, -4.0]]), \
array([.76, .24])]
jn1 = [['1', '2', '3'], \
array([[1.2, 0.1, -1.2],[-2.5, -4.0, 4.5]]), \
array([0.80, .20])]
jn2 = [['1', '2', '3'], \
array([[-1.4, 0.05, 1.3],[2.6, 4.1, -4.7]]), \
array([0.76, .24])]
jn3 = [['1', '2', '3'], \
array([[-1.5, 0.05, 1.6],[2.4, 4.0, -4.8]]), \
array([0.84, .16])]
jn4 = [['1', '2', '3'], \
array([[-1.5, 0.05, 1.6],[2.4, 4.0, -4.8]]), \
array([0.84, .16])]
support_pcoas = [jn1, jn2, jn3, jn4]
#test with the ideal_fourths option
matrix_average, matrix_low, matrix_high, eigval_average, m_names = \
summarize_pcoas(master_pcoa, support_pcoas, 'ideal_fourths',
apply_procrustes=False)
self.assertEqual(m_names, ['1', '2', '3'])
assert_almost_equal(matrix_average[(0,0)], -1.4)
assert_almost_equal(matrix_average[(0,1)], 0.0125)
assert_almost_equal(matrix_low[(0,0)], -1.5)
assert_almost_equal(matrix_high[(0,0)], -1.28333333)
assert_almost_equal(matrix_low[(0,1)], -0.0375)
assert_almost_equal(matrix_high[(0,1)], 0.05)
assert_almost_equal(eigval_average[0], 0.81)
assert_almost_equal(eigval_average[1], 0.19)
#test with the IQR option
matrix_average, matrix_low, matrix_high, eigval_average, m_names = \
summarize_pcoas(master_pcoa, support_pcoas, method='IQR',
apply_procrustes=False)
assert_almost_equal(matrix_low[(0,0)], -1.5)
assert_almost_equal(matrix_high[(0,0)], -1.3)
#test with procrustes option followed by sdev
m, m1, msq = procrustes(master_pcoa[1],jn1[1])
m, m2, msq = procrustes(master_pcoa[1],jn2[1])
m, m3, msq = procrustes(master_pcoa[1],jn3[1])
m, m4, msq = procrustes(master_pcoa[1],jn4[1])
matrix_average, matrix_low, matrix_high, eigval_average, m_names = \
summarize_pcoas(master_pcoa, support_pcoas, method='sdev',
apply_procrustes=True)
x = array([m1[0,0],m2[0,0],m3[0,0],m4[0,0]])
self.assertEqual(x.mean(),matrix_average[0,0])
self.assertEqual(-x.std(ddof=1)/2,matrix_low[0,0])
self.assertEqual(x.std(ddof=1)/2,matrix_high[0,0])
def test_IQR(self):
"IQR returns the interquartile range for list x"
#works for odd with odd split
x = [2,3,4,5,6,7,1]
minv, maxv = IQR(x)
self.assertEqual(minv, 2)
self.assertEqual(maxv, 6)
#works for even with odd split
x = [1,2,3,4,5,6]
minv, maxv = IQR(x)
self.assertEqual(minv, 2)
self.assertEqual(maxv, 5)
#works for even with even split
x = [1,2,3,4,5,6,7,8]
minv, maxv = IQR(x)
self.assertEqual(minv, 2.5)
self.assertEqual(maxv, 6.5)
#works with array
#works for odd with odd split
x = array([2,3,4,5,6,7,1])
minv, maxv = IQR(x)
self.assertEqual(minv, 2)
self.assertEqual(maxv, 6)
#works for even with odd split
x = array([1,2,3,4,5,6])
minv, maxv = IQR(x)
self.assertEqual(minv, 2)
self.assertEqual(maxv, 5)
#works for even with even split
x = array([1,2,3,4,5,6,7,8])
minv, maxv = IQR(x)
self.assertEqual(minv, 2.5)
self.assertEqual(maxv, 6.5)
def test_matrix_IQR(self):
"""matrix_IQR calcs the IQR for each column in an array correctly
"""
x = array([[1,2,3],[4,5,6],[7,8,9], [10,11,12]])
min_vals, max_vals = matrix_IQR(x)
assert_almost_equal(min_vals, array([2.5,3.5,4.5]))
assert_almost_equal(max_vals, array([8.5,9.5,10.5]))
def test_idealfourths(self):
"""idealfourths: tests the ideal-fourths function which was imported from scipy
at the following location (http://projects.scipy.org/scipy/browser/trunk/scipy/stats/tests/test_mmorestats.py?rev=4154)
"""
test = arange(100)
self.assertEqual(idealfourths(test),
[24.416666666666668, 74.583333333333343])
test_2D = test.repeat(3).reshape(-1,3)
# used to be assertAlmostEqualRel but assert_almost_equal from numpy
# seems to be working just fine
assert_almost_equal(asarray(idealfourths(test_2D, axis=0)),\
array([[24.41666667, 24.41666667, 24.41666667], \
[74.58333333, 74.58333333, 74.58333333]]))
assert_almost_equal(idealfourths(test_2D, axis=1),
test.repeat(2).reshape(-1,2))
test = [0,0]
_result = idealfourths(test)
self.assertEqual(isnan(_result).all(), True)
class MetadataMapTests(TestCase):
"""Tests for the MetadataMap class."""
def setUp(self):
"""Create MetadataMap objects that will be used in the tests."""
# Create a map using the overview tutorial mapping file.
self.overview_map_str = [
"#SampleID\tBarcodeSequence\tTreatment\tDOB\tDescription",
"PC.354\tAGCACGAGCCTA\tControl\t20061218\t354",
"PC.355\tAACTCGTCGATG\tControl\t20061218\t355",
"PC.356\tACAGACCACTCA\tControl\t20061126\t356",
"PC.481\tACCAGCGACTAG\tControl\t20070314\t481",
"PC.593\tAGCAGCACTTGT\tControl\t20071210\t593",
"PC.607\tAACTGTGCGTAC\tFast\t20071112\t607",
"PC.634\tACAGAGTCGGCT\tFast\t20080116\t634",
"PC.635\tACCGCAGAGTCA\tFast\t20080116\t635",
"PC.636\tACGGTGAGTGTC\tFast\t20080116\t636"]
self.overview_map = MetadataMap(
*parse_mapping_file_to_dict(self.overview_map_str))
# Create the same overview tutorial map, but this time with some
# comments.
self.comment = "# Some comments about this mapping file"
self.map_with_comments_str = self.overview_map_str[:]
self.map_with_comments_str.insert(1, self.comment)
self.map_with_comments = MetadataMap(*parse_mapping_file_to_dict(
self.map_with_comments_str))
# Create a MetadataMap object that has no metadata (i.e. no sample IDs,
# so no metadata about samples).
self.empty_map = MetadataMap({}, [])
# Create a MetadataMap object that has samples (i.e. sample IDs) but
# not associated metadata (i.e. no columns other than SampleID).
self.no_metadata_str = ["#SampleID",
"PC.354",
"PC.355",
"PC.356",
"PC.481",
"PC.593",
"PC.607",
"PC.634",
"PC.635",
"PC.636"]
self.no_metadata = MetadataMap(*parse_mapping_file_to_dict(
self.no_metadata_str))
# Create a MetadataMap object that has a category with only one value
# throughout the entire column.
self.single_value_str = ["#SampleID\tFoo",
"PC.354\tfoo",
"PC.355\tfoo",
"PC.356\tfoo",
"PC.481\tfoo",
"PC.593\tfoo",
"PC.607\tfoo",
"PC.634\tfoo",
"PC.635\tfoo",
"PC.636\tfoo"]
self.single_value = MetadataMap(*parse_mapping_file_to_dict(
self.single_value_str))
def test_parseMetadataMap(self):
"""Test parsing a mapping file into a MetadataMap instance."""
obs = MetadataMap.parseMetadataMap(self.overview_map_str)
self.assertEqual(obs, self.overview_map)
def test_parseMetadataMap_empty(self):
"""Test parsing empty mapping file contents."""
self.assertRaises(QiimeParseError, MetadataMap.parseMetadataMap, [])
def test_eq(self):
"""Test whether two MetadataMaps are equal."""
self.assertTrue(self.empty_map == MetadataMap({}, []))
self.assertTrue(self.overview_map == MetadataMap(
self.overview_map._metadata, self.overview_map.Comments))
def test_ne(self):
"""Test whether two MetadataMaps are not equal."""
self.assertTrue(self.empty_map != MetadataMap({}, ["foo"]))
self.assertTrue(self.overview_map != MetadataMap(
self.overview_map._metadata, ["foo"]))
self.assertTrue(self.overview_map != MetadataMap({},
self.overview_map.Comments))
self.assertTrue(self.overview_map != self.empty_map)
self.assertTrue(self.overview_map != self.map_with_comments)
self.assertTrue(self.overview_map != self.no_metadata)
def test_getSampleMetadata(self):
"""Test metadata by sample ID accessor with valid sample IDs."""
exp = {'BarcodeSequence': 'AGCACGAGCCTA', 'Treatment': 'Control',
'DOB': '20061218', 'Description': '354'}
obs = self.overview_map.getSampleMetadata('PC.354')
self.assertEqual(obs, exp)
exp = {'BarcodeSequence': 'ACCAGCGACTAG', 'Treatment': 'Control',
'DOB': '20070314', 'Description': '481'}
obs = self.map_with_comments.getSampleMetadata('PC.481')
self.assertEqual(obs, exp)
exp = {'BarcodeSequence': 'ACGGTGAGTGTC', 'Treatment': 'Fast',
'DOB': '20080116', 'Description': '636'}
obs = self.map_with_comments.getSampleMetadata('PC.636')
self.assertEqual(obs, exp)
exp = {}
obs = self.no_metadata.getSampleMetadata('PC.636')
self.assertEqual(obs, exp)
def test_getSampleMetadata_bad_sample_id(self):
"""Test metadata by sample ID accessor with invalid sample IDs."""
# Nonexistent sample ID.
self.assertRaises(KeyError, self.overview_map.getSampleMetadata,
'PC.000')
self.assertRaises(KeyError, self.no_metadata.getSampleMetadata,
'PC.000')
# Integer sample ID.
self.assertRaises(KeyError, self.overview_map.getSampleMetadata, 42)
# Sample ID of type None.
self.assertRaises(KeyError, self.overview_map.getSampleMetadata, None)
# Sample ID on empty map.
self.assertRaises(KeyError, self.empty_map.getSampleMetadata, 's1')
# Integer sample ID on empty map.
self.assertRaises(KeyError, self.empty_map.getSampleMetadata, 1)
# Sample ID of None on empty map.
self.assertRaises(KeyError, self.empty_map.getSampleMetadata, None)
def test_getCategoryValue(self):
"""Test category value by sample ID/category name accessor."""
exp = "Fast"
obs = self.overview_map.getCategoryValue('PC.634', 'Treatment')
self.assertEqual(obs, exp)
exp = "20070314"
obs = self.overview_map.getCategoryValue('PC.481', 'DOB')
self.assertEqual(obs, exp)
exp = "ACGGTGAGTGTC"
obs = self.map_with_comments.getCategoryValue(
'PC.636', 'BarcodeSequence')
self.assertEqual(obs, exp)
def test_getCategoryValues(self):
"""Test category value list by sample ID/category name accessor."""
smpl_ids = ['PC.354', 'PC.355', 'PC.356', 'PC.481', 'PC.593', 'PC.607',
'PC.634', 'PC.635', 'PC.636']
exp = ['Control','Control','Control','Control','Control','Fast'
,'Fast','Fast','Fast']
obs = self.overview_map.getCategoryValues(smpl_ids, 'Treatment')
self.assertEqual(obs, exp)
def test_isNumericCategory(self):
"""Test checking if a category is numeric."""
obs = self.overview_map.isNumericCategory('Treatment')
self.assertEqual(obs, False)
obs = self.overview_map.isNumericCategory('DOB')
self.assertEqual(obs, True)
def test_hasUniqueCategoryValues(self):
"""Test checking if a category has unique values."""
obs = self.overview_map.hasUniqueCategoryValues('Treatment')
self.assertEqual(obs, False)
obs = self.overview_map.hasUniqueCategoryValues('DOB')
self.assertEqual(obs, False)
obs = self.overview_map.hasUniqueCategoryValues('Description')
self.assertEqual(obs, True)
def test_hasSingleCategoryValue(self):
"""Test checking if a category has only a single value."""
obs = self.overview_map.hasSingleCategoryValue('Treatment')
self.assertEqual(obs, False)
obs = self.single_value.hasSingleCategoryValue('Foo')
self.assertEqual(obs, True)
def test_getCategoryValue_bad_sample_id(self):
"""Test category value by sample ID accessor with bad sample IDs."""
# Nonexistent sample ID.
self.assertRaises(KeyError, self.overview_map.getCategoryValue,
'PC.000', 'Treatment')
self.assertRaises(KeyError, self.no_metadata.getCategoryValue,
'PC.000', 'Treatment')
# Integer sample ID.
self.assertRaises(KeyError, self.overview_map.getCategoryValue, 42,
'DOB')
# Sample ID of type None.
self.assertRaises(KeyError, self.overview_map.getCategoryValue, None,
'Treatment')
# Sample ID on empty map.
self.assertRaises(KeyError, self.empty_map.getCategoryValue, 's1',
'foo')
# Integer sample ID on empty map.
self.assertRaises(KeyError, self.empty_map.getCategoryValue, 1,
'bar')
# Sample ID of None on empty map.
self.assertRaises(KeyError, self.empty_map.getCategoryValue, None,
'baz')
def test_getCategoryValue_bad_category(self):
"""Test category value by sample ID accessor with bad categories."""
# Nonexistent category.
self.assertRaises(KeyError, self.overview_map.getCategoryValue,
'PC.354', 'foo')
# Integer category.
self.assertRaises(KeyError, self.overview_map.getCategoryValue,
'PC.354', 42)
# Category of type None.
self.assertRaises(KeyError, self.overview_map.getCategoryValue,
'PC.354', None)
# Category on map with no metadata, but that has sample IDs.
self.assertRaises(KeyError, self.no_metadata.getCategoryValue,
'PC.354', 'Treatment')
# Integer category on map with no metadata.
self.assertRaises(KeyError, self.no_metadata.getCategoryValue,
'PC.354', 34)
# Category of type None on map with no metadata.
self.assertRaises(KeyError, self.no_metadata.getCategoryValue,
'PC.354', None)
def test_SampleIds(self):
"""Test sample IDs accessor."""
exp = ["PC.354", "PC.355", "PC.356", "PC.481", "PC.593", "PC.607",
"PC.634", "PC.635", "PC.636"]
obs = self.overview_map.SampleIds
self.assertEqual(obs, exp)
obs = self.no_metadata.SampleIds
self.assertEqual(obs, exp)
obs = self.empty_map.SampleIds
self.assertEqual(obs, [])
def test_CategoryNames(self):
"""Test category names accessor."""
exp = ["BarcodeSequence", "DOB", "Description", "Treatment"]
obs = self.overview_map.CategoryNames
self.assertEqual(obs, exp)
obs = self.no_metadata.CategoryNames
self.assertEqual(obs, [])
obs = self.empty_map.CategoryNames
self.assertEqual(obs, [])
def test_filterSamples(self):
"""Test filtering out samples from metadata map."""
exp = ['PC.356', 'PC.593']
self.overview_map.filterSamples(['PC.593', 'PC.356'])
obs = self.overview_map.SampleIds
self.assertEqual(obs, exp)
self.overview_map.filterSamples([])
self.assertEqual(self.overview_map.SampleIds, [])
def test_filterSamples_strict(self):
"""Test strict checking of sample prescence when filtering."""
with self.assertRaises(ValueError):
self.overview_map.filterSamples(['PC.356', 'abc123'])
with self.assertRaises(ValueError):
self.empty_map.filterSamples(['foo'])
def test_filterSamples_no_strict(self):
"""Test missing samples does not raise error."""
self.overview_map.filterSamples(['PC.356', 'abc123'], strict=False)
self.assertEqual(self.overview_map.SampleIds, ['PC.356'])
self.empty_map.filterSamples(['foo'], strict=False)
self.assertEqual(self.empty_map.SampleIds, [])
def test_is_valid_git_refname(self):
"""Test correct validation of refnames"""
# valid branchnames
self.assertTrue(is_valid_git_refname('master'))
self.assertTrue(is_valid_git_refname('debuggatron_2000'))
self.assertTrue(is_valid_git_refname('refname/bar'))
self.assertTrue(is_valid_git_refname('ref.nameslu/_eggs_/spam'))
self.assertTrue(is_valid_git_refname('valid{0}char'.format(
py_unichr(40))))
self.assertTrue(is_valid_git_refname('master@head'))
self.assertTrue(is_valid_git_refname('bar{thing}foo'))
# case happening with git < 1.6.6
self.assertFalse(is_valid_git_refname(
'--abbrev-ref\nbaa350d7b7063d585ca293fc16ef15e0765dc9ee'))
# different invalid refnames, for a description of each group see the
# man page of git check-ref-format
self.assertFalse(is_valid_git_refname('bar/.spam/eggs'))
self.assertFalse(is_valid_git_refname('bar.lock/spam/eggs'))
self.assertFalse(is_valid_git_refname('bar.lock'))
self.assertFalse(is_valid_git_refname('.foobar'))
self.assertFalse(is_valid_git_refname('ref..name'))
self.assertFalse(is_valid_git_refname(u'invalid{0}char'.format(
py_unichr(177))))
self.assertFalse(is_valid_git_refname('invalid{0}char'.format(
py_unichr(39))))
self.assertFalse(is_valid_git_refname('ref~name/bar'))
self.assertFalse(is_valid_git_refname('refname spam'))
self.assertFalse(is_valid_git_refname('bar/foo/eggs~spam'))
self.assertFalse(is_valid_git_refname('bar:_spam_'))
self.assertFalse(is_valid_git_refname('eggtastic^2'))
self.assertFalse(is_valid_git_refname('areyourandy?'))
self.assertFalse(is_valid_git_refname('bar/*/spam'))
self.assertFalse(is_valid_git_refname('bar[spam]/eggs'))
self.assertFalse(is_valid_git_refname('/barfooeggs'))
self.assertFalse(is_valid_git_refname('barfooeggs/'))
self.assertFalse(is_valid_git_refname('bar/foo//////eggs'))
self.assertFalse(is_valid_git_refname('dotEnding.'))
self.assertFalse(is_valid_git_refname('@{branch'))
self.assertFalse(is_valid_git_refname('contains\\slash'))
self.assertFalse(is_valid_git_refname('$newbranch'))
def test_is_valid_git_sha1(self):
""" """
# valid sha1 strings
self.assertTrue(is_valid_git_sha1(
'65a9ba2ef4b126fb5b054ea6b89b457463db4ec6'))
self.assertTrue(is_valid_git_sha1(
'a29a9911e41253405494c43889925a6d79ca26db'))
self.assertTrue(is_valid_git_sha1(
'e099cd5fdea89eba929d6051fbd26cc9e7a0c961'))
self.assertTrue(is_valid_git_sha1(
'44235d322c3386bd5ce872d9d7ea2e10d27c86cb'))
self.assertTrue(is_valid_git_sha1(
'7d2fc23E04540EE92c742948cca9ed5bc54d08d1'))
self.assertTrue(is_valid_git_sha1(
'fb5dc0285a8b11f199c4f3a7547a2da38138373f'))
self.assertTrue(is_valid_git_sha1(
'0b2abAEb195ba7ebc5cfdb53213a66fbaddefdb8'))
# invalid length
self.assertFalse(is_valid_git_sha1('cca9ed5bc54d08d1'))
self.assertFalse(is_valid_git_sha1(''))
# invalid characters
self.assertFalse(is_valid_git_sha1(
'fb5dy0f85a8b11f199c4f3a75474a2das8138373'))
self.assertFalse(is_valid_git_sha1(
'0x5dcc816fbc1c2e8eX087d7d2ed8d2950a7c16b'))
#run unit tests if run from command-line
if __name__ == '__main__':
main()