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)
