def test_it_does_not_raise_error_when_column_types_are_consistent(): # construct a single-column table, with a "lat" column # which is 60% floats, 40% empty dictRows = [] for i in range(60): row = OrderedDict([('lat', random.uniform(50.35, 58.56))]) dictRows.append(row) for i in range(40): row = OrderedDict([('lat', None)]) dictRows.append(row) extract.validateConsistency(dictRows)
def test_it_does_not_raise_error_when_column_types_are_consistent(): # construct a single-column table, with a "lat" column # which is 60% floats, 40% empty dictRows = [] for i in range(60): row = OrderedDict([ ('lat', random.uniform(50.35, 58.56)) ]) dictRows.append(row) for i in range(40): row = OrderedDict([ ('lat', None) ]) dictRows.append(row) extract.validateConsistency(dictRows)
def test_it_correctly_groups_together_integers_and_floats(): # construct a single-column table, with a "lat" column which # which is 45% integers, 45% floats and 10% empty dictRows = [] for i in range(45): row = OrderedDict([('lat', int(random.uniform(50.35, 58.56)))]) dictRows.append(row) for i in range(45): row = OrderedDict([('lat', random.uniform(50.35, 58.56))]) dictRows.append(row) for i in range(10): row = OrderedDict([('lat', '')]) dictRows.append(row) extract.validateConsistency(dictRows)
def test_it_correctly_groups_together_integers_and_floats(): # construct a single-column table, with a "lat" column which # which is 45% integers, 45% floats and 10% empty dictRows = [] for i in range(45): row = OrderedDict([ ('lat', int(random.uniform(50.35, 58.56))) ]) dictRows.append(row) for i in range(45): row = OrderedDict([ ('lat', random.uniform(50.35, 58.56)) ]) dictRows.append(row) for i in range(10): row = OrderedDict([ ('lat', '') ]) dictRows.append(row) extract.validateConsistency(dictRows)