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from __future__ import division, absolute_import, print_function
import sys
import time
from datetime import date
import numpy as np
from numpy.lib._iotools import LineSplitter, NameValidator, StringConverter, \
has_nested_fields, easy_dtype, flatten_dtype
from numpy.testing import *
from numpy.compat import asbytes, asbytes_nested
class TestLineSplitter(TestCase):
"Tests the LineSplitter class."
#
def test_no_delimiter(self):
"Test LineSplitter w/o delimiter"
strg = asbytes(" 1 2 3 4 5 # test")
test = LineSplitter()(strg)
assert_equal(test, asbytes_nested(['1', '2', '3', '4', '5']))
test = LineSplitter('')(strg)
assert_equal(test, asbytes_nested(['1', '2', '3', '4', '5']))
def test_space_delimiter(self):
"Test space delimiter"
strg = asbytes(" 1 2 3 4 5 # test")
test = LineSplitter(asbytes(' '))(strg)
assert_equal(test, asbytes_nested(['1', '2', '3', '4', '', '5']))
test = LineSplitter(asbytes(' '))(strg)
assert_equal(test, asbytes_nested(['1 2 3 4', '5']))
def test_tab_delimiter(self):
"Test tab delimiter"
strg = asbytes(" 1\t 2\t 3\t 4\t 5 6")
test = LineSplitter(asbytes('\t'))(strg)
assert_equal(test, asbytes_nested(['1', '2', '3', '4', '5 6']))
strg = asbytes(" 1 2\t 3 4\t 5 6")
test = LineSplitter(asbytes('\t'))(strg)
assert_equal(test, asbytes_nested(['1 2', '3 4', '5 6']))
def test_other_delimiter(self):
"Test LineSplitter on delimiter"
strg = asbytes("1,2,3,4,,5")
test = LineSplitter(asbytes(','))(strg)
assert_equal(test, asbytes_nested(['1', '2', '3', '4', '', '5']))
#
strg = asbytes(" 1,2,3,4,,5 # test")
test = LineSplitter(asbytes(','))(strg)
assert_equal(test, asbytes_nested(['1', '2', '3', '4', '', '5']))
def test_constant_fixed_width(self):
"Test LineSplitter w/ fixed-width fields"
strg = asbytes(" 1 2 3 4 5 # test")
test = LineSplitter(3)(strg)
assert_equal(test, asbytes_nested(['1', '2', '3', '4', '', '5', '']))
#
strg = asbytes(" 1 3 4 5 6# test")
test = LineSplitter(20)(strg)
assert_equal(test, asbytes_nested(['1 3 4 5 6']))
#
strg = asbytes(" 1 3 4 5 6# test")
test = LineSplitter(30)(strg)
assert_equal(test, asbytes_nested(['1 3 4 5 6']))
def test_variable_fixed_width(self):
strg = asbytes(" 1 3 4 5 6# test")
test = LineSplitter((3, 6, 6, 3))(strg)
assert_equal(test, asbytes_nested(['1', '3', '4 5', '6']))
#
strg = asbytes(" 1 3 4 5 6# test")
test = LineSplitter((6, 6, 9))(strg)
assert_equal(test, asbytes_nested(['1', '3 4', '5 6']))
#-------------------------------------------------------------------------------
class TestNameValidator(TestCase):
#
def test_case_sensitivity(self):
"Test case sensitivity"
names = ['A', 'a', 'b', 'c']
test = NameValidator().validate(names)
assert_equal(test, ['A', 'a', 'b', 'c'])
test = NameValidator(case_sensitive=False).validate(names)
assert_equal(test, ['A', 'A_1', 'B', 'C'])
test = NameValidator(case_sensitive='upper').validate(names)
assert_equal(test, ['A', 'A_1', 'B', 'C'])
test = NameValidator(case_sensitive='lower').validate(names)
assert_equal(test, ['a', 'a_1', 'b', 'c'])
#
def test_excludelist(self):
"Test excludelist"
names = ['dates', 'data', 'Other Data', 'mask']
validator = NameValidator(excludelist=['dates', 'data', 'mask'])
test = validator.validate(names)
assert_equal(test, ['dates_', 'data_', 'Other_Data', 'mask_'])
#
def test_missing_names(self):
"Test validate missing names"
namelist = ('a', 'b', 'c')
validator = NameValidator()
assert_equal(validator(namelist), ['a', 'b', 'c'])
namelist = ('', 'b', 'c')
assert_equal(validator(namelist), ['f0', 'b', 'c'])
namelist = ('a', 'b', '')
assert_equal(validator(namelist), ['a', 'b', 'f0'])
namelist = ('', 'f0', '')
assert_equal(validator(namelist), ['f1', 'f0', 'f2'])
#
def test_validate_nb_names(self):
"Test validate nb names"
namelist = ('a', 'b', 'c')
validator = NameValidator()
assert_equal(validator(namelist, nbfields=1), ('a',))
assert_equal(validator(namelist, nbfields=5, defaultfmt="g%i"),
['a', 'b', 'c', 'g0', 'g1'])
#
def test_validate_wo_names(self):
"Test validate no names"
namelist = None
validator = NameValidator()
assert_(validator(namelist) is None)
assert_equal(validator(namelist, nbfields=3), ['f0', 'f1', 'f2'])
#-------------------------------------------------------------------------------
def _bytes_to_date(s):
if sys.version_info[0] >= 3:
return date(*time.strptime(s.decode('latin1'), "%Y-%m-%d")[:3])
else:
return date(*time.strptime(s, "%Y-%m-%d")[:3])
class TestStringConverter(TestCase):
"Test StringConverter"
#
def test_creation(self):
"Test creation of a StringConverter"
converter = StringConverter(int, -99999)
assert_equal(converter._status, 1)
assert_equal(converter.default, -99999)
#
def test_upgrade(self):
"Tests the upgrade method."
converter = StringConverter()
assert_equal(converter._status, 0)
converter.upgrade(asbytes('0'))
assert_equal(converter._status, 1)
converter.upgrade(asbytes('0.'))
assert_equal(converter._status, 2)
converter.upgrade(asbytes('0j'))
assert_equal(converter._status, 3)
converter.upgrade(asbytes('a'))
assert_equal(converter._status, len(converter._mapper) - 1)
#
def test_missing(self):
"Tests the use of missing values."
converter = StringConverter(missing_values=(asbytes('missing'),
asbytes('missed')))
converter.upgrade(asbytes('0'))
assert_equal(converter(asbytes('0')), 0)
assert_equal(converter(asbytes('')), converter.default)
assert_equal(converter(asbytes('missing')), converter.default)
assert_equal(converter(asbytes('missed')), converter.default)
try:
converter('miss')
except ValueError:
pass
#
def test_upgrademapper(self):
"Tests updatemapper"
dateparser = _bytes_to_date
StringConverter.upgrade_mapper(dateparser, date(2000, 1, 1))
convert = StringConverter(dateparser, date(2000, 1, 1))
test = convert(asbytes('2001-01-01'))
assert_equal(test, date(2001, 1, 1))
test = convert(asbytes('2009-01-01'))
assert_equal(test, date(2009, 1, 1))
test = convert(asbytes(''))
assert_equal(test, date(2000, 1, 1))
#
def test_string_to_object(self):
"Make sure that string-to-object functions are properly recognized"
conv = StringConverter(_bytes_to_date)
assert_equal(conv._mapper[-2][0](0), 0j)
assert_(hasattr(conv, 'default'))
#
def test_keep_default(self):
"Make sure we don't lose an explicit default"
converter = StringConverter(None, missing_values=asbytes(''),
default= -999)
converter.upgrade(asbytes('3.14159265'))
assert_equal(converter.default, -999)
assert_equal(converter.type, np.dtype(float))
#
converter = StringConverter(None, missing_values=asbytes(''), default=0)
converter.upgrade(asbytes('3.14159265'))
assert_equal(converter.default, 0)
assert_equal(converter.type, np.dtype(float))
#
def test_keep_default_zero(self):
"Check that we don't lose a default of 0"
converter = StringConverter(int, default=0,
missing_values=asbytes("N/A"))
assert_equal(converter.default, 0)
#
def test_keep_missing_values(self):
"Check that we're not losing missing values"
converter = StringConverter(int, default=0,
missing_values=asbytes("N/A"))
assert_equal(converter.missing_values, set(asbytes_nested(['', 'N/A'])))
def test_int64_dtype(self):
"Check that int64 integer types can be specified"
converter = StringConverter(np.int64, default=0)
val = asbytes("-9223372036854775807")
assert_(converter(val) == -9223372036854775807)
val = asbytes("9223372036854775807")
assert_(converter(val) == 9223372036854775807)
def test_uint64_dtype(self):
"Check that uint64 integer types can be specified"
converter = StringConverter(np.uint64, default=0)
val = asbytes("9223372043271415339")
assert_(converter(val) == 9223372043271415339)
#-------------------------------------------------------------------------------
class TestMiscFunctions(TestCase):
#
def test_has_nested_dtype(self):
"Test has_nested_dtype"
ndtype = np.dtype(np.float)
assert_equal(has_nested_fields(ndtype), False)
ndtype = np.dtype([('A', '|S3'), ('B', float)])
assert_equal(has_nested_fields(ndtype), False)
ndtype = np.dtype([('A', int), ('B', [('BA', float), ('BB', '|S1')])])
assert_equal(has_nested_fields(ndtype), True)
def test_easy_dtype(self):
"Test ndtype on dtypes"
# Simple case
ndtype = float
assert_equal(easy_dtype(ndtype), np.dtype(float))
# As string w/o names
ndtype = "i4, f8"
assert_equal(easy_dtype(ndtype),
np.dtype([('f0', "i4"), ('f1', "f8")]))
# As string w/o names but different default format
assert_equal(easy_dtype(ndtype, defaultfmt="field_%03i"),
np.dtype([('field_000', "i4"), ('field_001', "f8")]))
# As string w/ names
ndtype = "i4, f8"
assert_equal(easy_dtype(ndtype, names="a, b"),
np.dtype([('a', "i4"), ('b', "f8")]))
# As string w/ names (too many)
ndtype = "i4, f8"
assert_equal(easy_dtype(ndtype, names="a, b, c"),
np.dtype([('a', "i4"), ('b', "f8")]))
# As string w/ names (not enough)
ndtype = "i4, f8"
assert_equal(easy_dtype(ndtype, names=", b"),
np.dtype([('f0', "i4"), ('b', "f8")]))
# ... (with different default format)
assert_equal(easy_dtype(ndtype, names="a", defaultfmt="f%02i"),
np.dtype([('a', "i4"), ('f00', "f8")]))
# As list of tuples w/o names
ndtype = [('A', int), ('B', float)]
assert_equal(easy_dtype(ndtype), np.dtype([('A', int), ('B', float)]))
# As list of tuples w/ names
assert_equal(easy_dtype(ndtype, names="a,b"),
np.dtype([('a', int), ('b', float)]))
# As list of tuples w/ not enough names
assert_equal(easy_dtype(ndtype, names="a"),
np.dtype([('a', int), ('f0', float)]))
# As list of tuples w/ too many names
assert_equal(easy_dtype(ndtype, names="a,b,c"),
np.dtype([('a', int), ('b', float)]))
# As list of types w/o names
ndtype = (int, float, float)
assert_equal(easy_dtype(ndtype),
np.dtype([('f0', int), ('f1', float), ('f2', float)]))
# As list of types w names
ndtype = (int, float, float)
assert_equal(easy_dtype(ndtype, names="a, b, c"),
np.dtype([('a', int), ('b', float), ('c', float)]))
# As simple dtype w/ names
ndtype = np.dtype(float)
assert_equal(easy_dtype(ndtype, names="a, b, c"),
np.dtype([(_, float) for _ in ('a', 'b', 'c')]))
# As simple dtype w/o names (but multiple fields)
ndtype = np.dtype(float)
assert_equal(easy_dtype(ndtype, names=['', '', ''], defaultfmt="f%02i"),
np.dtype([(_, float) for _ in ('f00', 'f01', 'f02')]))
def test_flatten_dtype(self):
"Testing flatten_dtype"
# Standard dtype
dt = np.dtype([("a", "f8"), ("b", "f8")])
dt_flat = flatten_dtype(dt)
assert_equal(dt_flat, [float, float])
# Recursive dtype
dt = np.dtype([("a", [("aa", '|S1'), ("ab", '|S2')]), ("b", int)])
dt_flat = flatten_dtype(dt)
assert_equal(dt_flat, [np.dtype('|S1'), np.dtype('|S2'), int])
# dtype with shaped fields
dt = np.dtype([("a", (float, 2)), ("b", (int, 3))])
dt_flat = flatten_dtype(dt)
assert_equal(dt_flat, [float, int])
dt_flat = flatten_dtype(dt, True)
assert_equal(dt_flat, [float] * 2 + [int] * 3)
# dtype w/ titles
dt = np.dtype([(("a", "A"), "f8"), (("b", "B"), "f8")])
dt_flat = flatten_dtype(dt)
assert_equal(dt_flat, [float, float])
if __name__ == "__main__":
run_module_suite()
|
