def test_create_data_from_nested_iterable():
Data(
symbol="TDM_1",
entries=[Comment("t / s s(t) / m"), Comment("here be data")]
+ rowmajor2rows((("0", "-2"), ("1.1", "0.1"), ("2.0", "3.1"), ("2.9", "4.5"))) # row major order "C-style"
+ columnmajor2rows( # column major order "Fortran-style"
(("0", "1.1", "2.0", "2.9"), ("-2", "0.1", "3.1", "4.5"))
),
)
def test_create_data_from_nested_iterable():
Data(
symbol='TDM_1',
entries=[
Comment('t / s s(t) / m'),
Comment('here be data'),
] + rowmajor2rows( # row major order "C-style"
(('0', '-2'), ('1.1', '0.1'), ('2.0', '3.1'), ('2.9', '4.5'))) +
columnmajor2rows( # column major order "Fortran-style"
(('0', '1.1', '2.0', '2.9'), ('-2', '0.1', '3.1', '4.5'))))
def test_create_data_from_custom_source():
# formatter is called for every cell, replacing the cell
# formatter also available for:
# columnmajor2rows, DataRow and DataColumn
#
# for more elaborate examples see test_streaming
Data(
symbol="TDM_1",
entries=[Comment("t / s s(t) / m"), Comment("here be data from custom source")]
+ rowmajor2rows(((0, -2), (1.1, 0.1), (2.0, 3.1), (2.9, 4.5)), formatter=lambda x: "%.1f" % (x,)),
)
def test_create_data_from_custom_source():
# formatter is called for every cell, replacing the cell
# formatter also available for:
# columnmajor2rows, DataRow and DataColumn
#
# for more elaborate examples see test_streaming
Data(
symbol='TDM_1',
entries=[
Comment('t / s s(t) / m'),
Comment('here be data from custom source')
] + rowmajor2rows(((0, -2), (1.1, 0.1), (2.0, 3.1), (2.9, 4.5)),
formatter=lambda x: '%.1f' % (x, )),
)
def adapt_packet(self, packet, context):
# rowmajor2rows works with any nested iterable
# see also test_table_sections.py
return cl1.rowmajor2rows(packet)
def test_inject_tables(lhrstream):
lhrstream.inject_packets(
[
TableDefinitionsHeader(),
KeyValue('table1', 't_1'),
KeyValue('table2', 't_2'),
DataDefinitionsHeader('t_1'),
KeyValue('distance', 'd [m]'),
KeyValue('time', 't [s]'),
DataHeader('t_1'),
Comment('d t'),
DataRow(("2.3", "4.555")),
DataRow(("1.2", "4.15")),
DataDefinitionsHeader('t_2'),
KeyValue('Energy', 'E [J]'),
KeyValue('distance', 'd [m]'),
# data streaming examples:
# ------------------------
DataHeader('t_2'),
DataRow(("2.3", "1.33")),
DataRow(["100.2", "44.2"]),
format_data_row((2.3, 4.555), lambda x: '%.2f' % (x, ))
]
)
# Stream columns that are all known at a time.
# For sequential streaming see test_column_data_protocol.py
lhrstream.inject_packets(
cl1.columns2rows(
(
cl1.DataColumn(("1.0", "3.4", "5.2")),
cl1.DataColumn(("2.0", "2.4", "2.2")),
)
)
)
# stream nested iterable
lhrstream.inject_packets(
cl1.rowmajor2rows(
(
('0', '-2'),
('1.1', '0.1'),
('2.0', '3.1'),
('2.9', '4.5')
)
)
)
# use a formatter:
lhrstream.inject_packets(
cl1.columnmajor2rows(
(
(0, 1.1, 2.0, 2.9),
(-2, 0.1, 3.1, 4.5)
),
formatter=lambda x: '%.2f' % (x, )
)
)
def adapt_packet(self, packet, context):
# rowmajor2rows works with any nested iterable
# see also test_table_sections.py
return cl1.rowmajor2rows(packet)