def test_string_literals():
assert model.eval('"hi"') == 'hi'
assert model.eval("'hello'") == 'hello'
assert model.eval("'how\\nare\\nyou'") == 'how\nare\nyou'
assert model.eval("'\\0\\x00\\377'") == '\0\x00\377'
assert model.eval("'\\r\\t\\n'") == '\r\t\n'
assert model.eval('"\\r\\t\\n"') == '\r\t\n'
assert model.eval("'multi'' ' 'part' ' ''string'") == 'multi part string'
# create a concatenation of lines as literals
lorem_ipsum_quoted = "'" + LOREM_IPSUM.replace('\n', "\\n'\n '") + "'"
assert model.eval(lorem_ipsum_quoted) == LOREM_IPSUM
with pytest.raises(ValueError):
model.eval('hello')
def test_leveldb_log_empty(spec_log, data_log_empty):
dtree = model.DataTree(data_log_empty, spec_log)
assert model.make_python_object(dtree.head_blocks) == []
assert model.make_python_object(dtree.tail_block.records) == []
assert len(dtree.head_blocks) == 0
assert len(dtree.tail_block.records) == 0
assert model.eval('sizeof(head_blocks)', dtree) == 0
assert model.eval('sizeof(tail_block.records)', dtree) == 0
with pytest.raises(IndexError):
dtree.tail_block.records[0]
with pytest.raises(ValueError):
model.eval('tail_block.records[0]', dtree)
def test_links_1(params_links_1):
params = params_links_1
dtree = params['dtree']
for i in range(3):
assert dtree.typed[i] == i + 1
assert dtree.untyped[i]['?value'] == i + 1
assert model.eval('untyped[{0}].?value'.format(i), dtree) == i + 1
def test_links_2(params_links_2):
params = params_links_2
dtree = params['dtree']
for i in range(3):
assert dtree.typed[i] == i + 1
assert dtree['?untyped_as_typed'][i] == i + 1
assert model.eval('?untyped_as_typed[{0}]'.format(i),
dtree) == i + 1
def test_links_3(params_links_3):
params = params_links_3
dtree = params['dtree']
for i in range(3):
assert dtree.typed[i] == i + 1
assert dtree['?numbers'][i].value == i + 1
assert model.eval('?numbers[{0}].value'.format(i),
dtree) == i + 1
def test_leveldb_log_small(spec_log, data_log_small):
dtree = model.DataTree(data_log_small, spec_log)
assert model.make_python_object(dtree.head_blocks) == []
records = dtree.tail_block.records
assert len(records) == 2
assert records[0].checksum == 0xC227CC1B
assert records[0].length == 33
assert records[0].rtype == 1
assert len(records[0].data) == 33
assert model.eval('sizeof(tail_block.records[0])', dtree) == 40
assert records[1].checksum == 0x6EC2C495
assert records[1].length == 39
assert records[1].rtype == 1
assert len(records[1].data) == 39
assert model.eval('sizeof(tail_block.records[1])', dtree) == 46
assert model.eval('sizeof(tail_block.records)', dtree) == 86
assert model.eval('sizeof(tail_block)', dtree) == 86
with pytest.raises(IndexError):
dummy = records[2]
with pytest.raises(ValueError):
model.eval('tail_block.records[2]', dtree)
def test_leveldb_log_multiblock(spec_log, data_log_multiblock):
dtree = model.DataTree(data_log_multiblock, spec_log)
assert len(dtree.head_blocks) == 1
assert len(dtree.head_blocks[0].records) == 762
assert len(dtree.tail_block.records) == 3
assert model.eval('sizeof(head_blocks)', dtree) == 32768
assert model.eval('sizeof(head_blocks[0])', dtree) == 32768
assert model.eval('sizeof(head_blocks[0].records)', dtree) == 32766
assert model.eval('sizeof(head_blocks[0].trailer)', dtree) == 2
assert model.make_python_object(model.eval('head_blocks[0].trailer',
dtree)) == '\x00\x00'
assert model.eval('sizeof(tail_block.records)', dtree) == 43 * 3
records = dtree.head_blocks[0].records
dummy = records[761]
with pytest.raises(IndexError):
dummy = records[762]
def test_integer_literals():
assert model.eval('0') == 0
assert model.eval('1') == 1
assert model.eval('123456789') == 123456789
assert model.eval('42000000000000') == 42000000000000
assert model.eval('07') == 7
assert model.eval('01234567') == 01234567
assert model.eval('0xdeadbeef') == 0xdeadbeef
assert model.eval('0xdeadbeefbadf00d') == 0xdeadbeefbadf00d
with pytest.raises(ValueError):
model.eval('0abc')
with pytest.raises(ValueError):
model.eval('0xffeeg')
with pytest.raises(ValueError):
model.eval('42a')
with pytest.raises(ValueError):
model.eval('42a')
with pytest.raises(ValueError):
model.eval('08')
