def work(filename): sequences = parasail.sequences_from_file(filename) print(len(sequences)) print(len(sequences[0])) print(sequences[0]) print(len(sequences[-1])) print(sequences[-1]) print(sequences[0][0]) with pytest.raises(TypeError): print(sequences['asdf']) with pytest.raises(TypeError): print(sequences[0]['asdf']) with pytest.raises(IndexError): print(sequences[1000000]) with pytest.raises(IndexError): print(sequences[-1000000]) with pytest.raises(IndexError): print(sequences[0][1000000]) with pytest.raises(IndexError): print(sequences[0][-1000000]) print("name: '{}'".format(sequences[0].name)) print("comment: '{}'".format(sequences[0].comment)) print("seq: '{}'".format(sequences[0].seq)) print("qual: '{}'".format(sequences[0].qual)) print("characters: {}".format(sequences.characters)) print("shortest: {}".format(sequences.shortest)) print("longest: {}".format(sequences.longest)) print("mean: {}".format(sequences.mean)) print("stddev: {}".format(sequences.stddev)) result = parasail.sw(str(sequences[0]), str(sequences[1]), 10, 1, parasail.blosum62) print(result.score) result = parasail.sw(sequences[0], sequences[1], 10, 1, parasail.blosum62) print(result.score)
def work(self): sequences = parasail.sequences_from_file(self.tmpfile) print(len(sequences)) print(len(sequences[0])) print(sequences[0]) print(len(sequences[-1])) print(sequences[-1]) print(sequences[0][0]) with self.assertRaises(TypeError): print(sequences['asdf']) with self.assertRaises(TypeError): print(sequences[0]['asdf']) with self.assertRaises(IndexError): print(sequences[1000000]) with self.assertRaises(IndexError): print(sequences[-1000000]) with self.assertRaises(IndexError): print(sequences[0][1000000]) with self.assertRaises(IndexError): print(sequences[0][-1000000]) print("name: '{}'".format(sequences[0].name)) print("comment: '{}'".format(sequences[0].comment)) print("seq: '{}'".format(sequences[0].seq)) print("qual: '{}'".format(sequences[0].qual)) print("characters: {}".format(sequences.characters)) print("shortest: {}".format(sequences.shortest)) print("longest: {}".format(sequences.longest)) print("mean: {}".format(sequences.mean)) print("stddev: {}".format(sequences.stddev)) result = parasail.sw(str(sequences[0]), str(sequences[1]), 10, 1, parasail.blosum62) print(result.score) result = parasail.sw(sequences[0], sequences[1], 10, 1, parasail.blosum62) print(result.score)
def test1(): result = parasail.sw("asdf", "asdf", 10, 1, parasail.blosum62) try: traceback = result.traceback print_traceback_attributes(traceback) except AttributeError: pass else: raise Error("AttributeError expected, Failure")
def test0(): result = parasail.sw("asdf", "asdf", 10, 1, parasail.blosum62) try: cigar = result.cigar print_cigar_attributes(cigar) except AttributeError: pass else: raise Error("AttributeError expected, Failure")
def test1(): result = parasail.sw("asdf","asdf",10,1,parasail.blosum62) try: traceback = result.traceback print_traceback_attributes(traceback) except AttributeError: pass else: raise Error("AttributeError expected, Failure")
def test0(): result = parasail.sw("asdf","asdf",10,1,parasail.blosum62) try: cigar = result.cigar print_cigar_attributes(cigar) except AttributeError: pass else: raise Error("AttributeError expected, Failure")
def test3(): matrix = parasail.matrix_create("acgt", 1, -1) result = parasail.sw("acgt", "acgt", 10, 1, matrix) assert (result.score == 4) del result del matrix
def test2(): result = parasail.sw("asdf", "asdf", 10, 1, parasail.pam50) assert (result.score == 27) del result
def test2(self): result = parasail.sw("asdf", "asdf", 10, 1, parasail.pam50) self.assertEqual(result.score, 27)
def test1(self): result = parasail.sw("asdf", "asdf", 10, 1, parasail.blosum62) self.assertEqual(result.score, 20)
def test3(self): matrix = parasail.matrix_create("acgt", 1, -1) result = parasail.sw("acgt", "acgt", 10, 1, matrix) self.assertEqual(result.score, 4)
def test(): result = parasail.sw_table("asdf","asdfasdf",10,1,parasail.blosum62) print result print result.saturated print result.score with pytest.raises(AttributeError): print result.matches with pytest.raises(AttributeError): print result.similar with pytest.raises(AttributeError): print result.length print result.score_table result = parasail.sw_stats_table("asdf","asdfasdf",10,1,parasail.blosum62) print result print result.saturated print result.score print result.matches print result.similar print result.length print result.score_table print result.matches_table print result.similar_table print result.length_table result = parasail.sw_rowcol("asdf","asdfasdf",10,1,parasail.blosum62) print result print result.saturated print result.score with pytest.raises(AttributeError): print result.matches with pytest.raises(AttributeError): print result.similar with pytest.raises(AttributeError): print result.length print result.score_row print result.score_col result = parasail.sw_stats_rowcol("asdf","asdfasdf",10,1,parasail.blosum62) print result print result.saturated print result.score print result.matches print result.similar print result.length print result.score_row print result.score_col print result.matches_row print result.matches_col print result.similar_row print result.similar_col print result.length_row print result.length_col result = parasail.sw("asdf","asdf",10,1,parasail.blosum62) print result print result.saturated print result.score with pytest.raises(AttributeError): print result.matches with pytest.raises(AttributeError): print result.similar with pytest.raises(AttributeError): print result.length with pytest.raises(AttributeError): print result.score_table result = parasail.sw_stats("asdf","asdf",10,1,parasail.blosum62) print result print result.saturated print result.score print result.matches print result.similar print result.length result = parasail.sw_scan_32("asdf","asdf",10,1,parasail.blosum62) print result print result.saturated print result.score with pytest.raises(AttributeError): print result.matches with pytest.raises(AttributeError): print result.similar with pytest.raises(AttributeError): print result.length result = parasail.sw_scan_16("asdf","asdf",10,1,parasail.blosum62) print result print result.saturated print result.score with pytest.raises(AttributeError): print result.matches with pytest.raises(AttributeError): print result.similar with pytest.raises(AttributeError): print result.length result = parasail.sw_stats_striped_16("asdf","asdf",10,1,parasail.blosum62) print result print result.saturated print result.score print result.matches print result.similar print result.length print parasail.blosum62.name print parasail.blosum62.size print parasail.blosum62.matrix profile = parasail.profile_create_8("asdf", parasail.blosum62) profile = parasail.profile_create_8("asdf", parasail.blosum62) print profile print profile.s1 print profile.matrix result = parasail.sw_striped_profile_8(profile,"asdf",10,1) print result print result.saturated print result.score profile = parasail.profile_create_sat("asdf", parasail.blosum62) print profile print profile.s1 print profile.matrix print dir(profile.matrix) print profile.matrix.min print profile.matrix.max print profile.matrix.size result = parasail.sw_striped_profile_sat(profile,"asdf",10,1) print result print result.saturated print result.score print type(result.score)
def test1(self): result = parasail.sw("asdf", "asdf", 10, 1, parasail.blosum62) with self.assertRaises(AttributeError): print_traceback_attributes(result.traceback)
def test(): result = parasail.sw_table("asdf", "asdfasdf", 10, 1, parasail.blosum62) print result print result.saturated print result.score with pytest.raises(AttributeError): print result.matches with pytest.raises(AttributeError): print result.similar with pytest.raises(AttributeError): print result.length print result.score_table result = parasail.sw_stats_table("asdf", "asdfasdf", 10, 1, parasail.blosum62) print result print result.saturated print result.score print result.matches print result.similar print result.length print result.score_table print result.matches_table print result.similar_table print result.length_table result = parasail.sw_rowcol("asdf", "asdfasdf", 10, 1, parasail.blosum62) print result print result.saturated print result.score with pytest.raises(AttributeError): print result.matches with pytest.raises(AttributeError): print result.similar with pytest.raises(AttributeError): print result.length print result.score_row print result.score_col result = parasail.sw_stats_rowcol("asdf", "asdfasdf", 10, 1, parasail.blosum62) print result print result.saturated print result.score print result.matches print result.similar print result.length print result.score_row print result.score_col print result.matches_row print result.matches_col print result.similar_row print result.similar_col print result.length_row print result.length_col result = parasail.sw("asdf", "asdf", 10, 1, parasail.blosum62) print result print result.saturated print result.score with pytest.raises(AttributeError): print result.matches with pytest.raises(AttributeError): print result.similar with pytest.raises(AttributeError): print result.length with pytest.raises(AttributeError): print result.score_table result = parasail.sw_stats("asdf", "asdf", 10, 1, parasail.blosum62) print result print result.saturated print result.score print result.matches print result.similar print result.length result = parasail.sw_scan_32("asdf", "asdf", 10, 1, parasail.blosum62) print result print result.saturated print result.score with pytest.raises(AttributeError): print result.matches with pytest.raises(AttributeError): print result.similar with pytest.raises(AttributeError): print result.length result = parasail.sw_scan_16("asdf", "asdf", 10, 1, parasail.blosum62) print result print result.saturated print result.score with pytest.raises(AttributeError): print result.matches with pytest.raises(AttributeError): print result.similar with pytest.raises(AttributeError): print result.length result = parasail.sw_stats_striped_16("asdf", "asdf", 10, 1, parasail.blosum62) print result print result.saturated print result.score print result.matches print result.similar print result.length print parasail.blosum62.name print parasail.blosum62.size print parasail.blosum62.matrix profile = parasail.profile_create_8("asdf", parasail.blosum62) profile = parasail.profile_create_8("asdf", parasail.blosum62) print profile print profile.s1 print profile.matrix result = parasail.sw_striped_profile_8(profile, "asdf", 10, 1) print result print result.saturated print result.score profile = parasail.profile_create_sat("asdf", parasail.blosum62) print profile print profile.s1 print profile.matrix print dir(profile.matrix) print profile.matrix.min print profile.matrix.max print profile.matrix.size result = parasail.sw_striped_profile_sat(profile, "asdf", 10, 1) print result print result.saturated print result.score print type(result.score)
print result print result.saturated print result.score print result.matches print result.similar print result.length print result.score_row print result.score_col print result.matches_row print result.matches_col print result.similar_row print result.similar_col print result.length_row print result.length_col result = parasail.sw("asdf","asdf",10,1,parasail.blosum62) print result print result.saturated print result.score print result.matches print result.similar print result.length print result.score_table result = parasail.sw_stats("asdf","asdf",10,1,parasail.blosum62) print result print result.saturated print result.score print result.matches print result.similar print result.length
def test1(): result = parasail.sw("asdf", "asdf", 10, 1, parasail.blosum62) assert (result.score == 20) del result
def test(self): result = parasail.sw_table("asdf", "asdfasdf", 10, 1, parasail.blosum62) print(result) print(result.saturated) print(result.score) with self.assertRaises(AttributeError): print(result.matches) with self.assertRaises(AttributeError): print(result.similar) with self.assertRaises(AttributeError): print(result.length) print(result.score_table) result = parasail.sw_stats_table("asdf", "asdfasdf", 10, 1, parasail.blosum62) print(result) print(result.saturated) print(result.score) print(result.matches) print(result.similar) print(result.length) print(result.score_table) print(result.matches_table) print(result.similar_table) print(result.length_table) result = parasail.sw_rowcol("asdf", "asdfasdf", 10, 1, parasail.blosum62) print(result) print(result.saturated) print(result.score) with self.assertRaises(AttributeError): print(result.matches) with self.assertRaises(AttributeError): print(result.similar) with self.assertRaises(AttributeError): print(result.length) print(result.score_row) print(result.score_col) result = parasail.sw_stats_rowcol("asdf", "asdfasdf", 10, 1, parasail.blosum62) print(result) print(result.saturated) print(result.score) print(result.matches) print(result.similar) print(result.length) print(result.score_row) print(result.score_col) print(result.matches_row) print(result.matches_col) print(result.similar_row) print(result.similar_col) print(result.length_row) print(result.length_col) result = parasail.sw("asdf", "asdf", 10, 1, parasail.blosum62) print(result) print(result.saturated) print(result.score) with self.assertRaises(AttributeError): print(result.matches) with self.assertRaises(AttributeError): print(result.similar) with self.assertRaises(AttributeError): print(result.length) with self.assertRaises(AttributeError): print(result.score_table) result = parasail.sw_stats("asdf", "asdf", 10, 1, parasail.blosum62) print(result) print(result.saturated) print(result.score) print(result.matches) print(result.similar) print(result.length) result = parasail.sw_scan_32("asdf", "asdf", 10, 1, parasail.blosum62) print(result) print(result.saturated) print(result.score) with self.assertRaises(AttributeError): print(result.matches) with self.assertRaises(AttributeError): print(result.similar) with self.assertRaises(AttributeError): print(result.length) result = parasail.sw_scan_16("asdf", "asdf", 10, 1, parasail.blosum62) print(result) print(result.saturated) print(result.score) with self.assertRaises(AttributeError): print(result.matches) with self.assertRaises(AttributeError): print(result.similar) with self.assertRaises(AttributeError): print(result.length) result = parasail.sw_stats_striped_16("asdf", "asdf", 10, 1, parasail.blosum62) print(result) print(result.saturated) print(result.score) print(result.matches) print(result.similar) print(result.length) print(parasail.blosum62.name) print(parasail.blosum62.size) print(parasail.blosum62.matrix) profile = parasail.profile_create_8("asdf", parasail.blosum62) profile = parasail.profile_create_8("asdf", parasail.blosum62) print(profile) print(profile.s1) print(profile.matrix) result = parasail.sw_striped_profile_8(profile, "asdf", 10, 1) print(result) print(result.saturated) print(result.score) profile = parasail.profile_create_sat("asdf", parasail.blosum62) print(profile) print(profile.s1) print(profile.matrix) print(dir(profile.matrix)) print(profile.matrix.min) print(profile.matrix.max) print(profile.matrix.size) result = parasail.sw_striped_profile_sat(profile, "asdf", 10, 1) print(result) print(result.saturated) print(result.score) print(type(result.score))
def test0(self): result = parasail.sw("asdf", "asdf", 10, 1, parasail.blosum62) with self.assertRaises(AttributeError): print_cigar_attributes(result.cigar)