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Editing: test__iotools.py
import time from datetime import date import numpy as np from numpy.testing import ( assert_, assert_equal, assert_allclose, assert_raises, ) from numpy.lib._iotools import ( LineSplitter, NameValidator, StringConverter, has_nested_fields, easy_dtype, flatten_dtype ) class TestLineSplitter: "Tests the LineSplitter class." def test_no_delimiter(self): "Test LineSplitter w/o delimiter" strg = " 1 2 3 4 5 # test" test = LineSplitter()(strg) assert_equal(test, ['1', '2', '3', '4', '5']) test = LineSplitter('')(strg) assert_equal(test, ['1', '2', '3', '4', '5']) def test_space_delimiter(self): "Test space delimiter" strg = " 1 2 3 4 5 # test" test = LineSplitter(' ')(strg) assert_equal(test, ['1', '2', '3', '4', '', '5']) test = LineSplitter(' ')(strg) assert_equal(test, ['1 2 3 4', '5']) def test_tab_delimiter(self): "Test tab delimiter" strg = " 1\t 2\t 3\t 4\t 5 6" test = LineSplitter('\t')(strg) assert_equal(test, ['1', '2', '3', '4', '5 6']) strg = " 1 2\t 3 4\t 5 6" test = LineSplitter('\t')(strg) assert_equal(test, ['1 2', '3 4', '5 6']) def test_other_delimiter(self): "Test LineSplitter on delimiter" strg = "1,2,3,4,,5" test = LineSplitter(',')(strg) assert_equal(test, ['1', '2', '3', '4', '', '5']) # strg = " 1,2,3,4,,5 # test" test = LineSplitter(',')(strg) assert_equal(test, ['1', '2', '3', '4', '', '5']) # gh-11028 bytes comment/delimiters should get encoded strg = b" 1,2,3,4,,5 % test" test = LineSplitter(delimiter=b',', comments=b'%')(strg) assert_equal(test, ['1', '2', '3', '4', '', '5']) def test_constant_fixed_width(self): "Test LineSplitter w/ fixed-width fields" strg = " 1 2 3 4 5 # test" test = LineSplitter(3)(strg) assert_equal(test, ['1', '2', '3', '4', '', '5', '']) # strg = " 1 3 4 5 6# test" test = LineSplitter(20)(strg) assert_equal(test, ['1 3 4 5 6']) # strg = " 1 3 4 5 6# test" test = LineSplitter(30)(strg) assert_equal(test, ['1 3 4 5 6']) def test_variable_fixed_width(self): strg = " 1 3 4 5 6# test" test = LineSplitter((3, 6, 6, 3))(strg) assert_equal(test, ['1', '3', '4 5', '6']) # strg = " 1 3 4 5 6# test" test = LineSplitter((6, 6, 9))(strg) assert_equal(test, ['1', '3 4', '5 6']) # ----------------------------------------------------------------------------- class TestNameValidator: 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']) # check exceptions assert_raises(ValueError, NameValidator, case_sensitive='foobar') 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): return date(*time.strptime(s, "%Y-%m-%d")[:3]) class TestStringConverter: "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) # test int assert_equal(converter.upgrade('0'), 0) assert_equal(converter._status, 1) # On systems where long defaults to 32-bit, the statuses will be # offset by one, so we check for this here. import numpy.core.numeric as nx status_offset = int(nx.dtype(nx.int_).itemsize < nx.dtype(nx.int64).itemsize) # test int > 2**32 assert_equal(converter.upgrade('17179869184'), 17179869184) assert_equal(converter._status, 1 + status_offset) # test float assert_allclose(converter.upgrade('0.'), 0.0) assert_equal(converter._status, 2 + status_offset) # test complex assert_equal(converter.upgrade('0j'), complex('0j')) assert_equal(converter._status, 3 + status_offset) # test str # note that the longdouble type has been skipped, so the # _status increases by 2. Everything should succeed with # unicode conversion (8). for s in ['a', b'a']: res = converter.upgrade(s) assert_(type(res) is str) assert_equal(res, 'a') assert_equal(converter._status, 8 + status_offset) def test_missing(self): "Tests the use of missing values." converter = StringConverter(missing_values=('missing', 'missed')) converter.upgrade('0') assert_equal(converter('0'), 0) assert_equal(converter(''), converter.default) assert_equal(converter('missing'), converter.default) assert_equal(converter('missed'), converter.default) try: converter('miss') except ValueError: pass def test_upgrademapper(self): "Tests updatemapper" dateparser = _bytes_to_date _original_mapper = StringConverter._mapper[:] try: StringConverter.upgrade_mapper(dateparser, date(2000, 1, 1)) convert = StringConverter(dateparser, date(2000, 1, 1)) test = convert('2001-01-01') assert_equal(test, date(2001, 1, 1)) test = convert('2009-01-01') assert_equal(test, date(2009, 1, 1)) test = convert('') assert_equal(test, date(2000, 1, 1)) finally: StringConverter._mapper = _original_mapper def test_string_to_object(self): "Make sure that string-to-object functions are properly recognized" old_mapper = StringConverter._mapper[:] # copy of list conv = StringConverter(_bytes_to_date) assert_equal(conv._mapper, old_mapper) assert_(hasattr(conv, 'default')) def test_keep_default(self): "Make sure we don't lose an explicit default" converter = StringConverter(None, missing_values='', default=-999) converter.upgrade('3.14159265') assert_equal(converter.default, -999) assert_equal(converter.type, np.dtype(float)) # converter = StringConverter( None, missing_values='', default=0) converter.upgrade('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="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="N/A") assert_equal( converter.missing_values, {'', 'N/A'}) def test_int64_dtype(self): "Check that int64 integer types can be specified" converter = StringConverter(np.int64, default=0) val = "-9223372036854775807" assert_(converter(val) == -9223372036854775807) val = "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 = "9223372043271415339" assert_(converter(val) == 9223372043271415339) class TestMiscFunctions: def test_has_nested_dtype(self): "Test has_nested_dtype" ndtype = np.dtype(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])
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