本文整理汇总了Python中autoprotocol.protocol.Protocol.mag_incubate方法的典型用法代码示例。如果您正苦于以下问题：Python Protocol.mag_incubate方法的具体用法？Python Protocol.mag_incubate怎么用？Python Protocol.mag_incubate使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类autoprotocol.protocol.Protocol的用法示例。
在下文中一共展示了Protocol.mag_incubate方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_mag_incubate
# 需要导入模块: from autoprotocol.protocol import Protocol [as 别名]
# 或者: from autoprotocol.protocol.Protocol import mag_incubate [as 别名]
def test_mag_incubate(self):
"""
Desired Output:
1. Magnetically release pcr_0 beads for 30.0 seconds at an amplitude of 0
2. Distribute from test/1 into wells test/7, test/8, test/9
3. Distribute from test/2 into wells test/10
4. Distribute from test/0 into wells test/1
5. Magnetically incubate pcr_0 for 30.0 minutes with a tip position of 1.5
"""
p = Protocol()
pcrs = [p.ref("pcr_%s" % i, None, "96-pcr", storage="cold_20")
for i in range(7)]
pcr = pcrs[0]
p.mag_release("96-pcr", pcr, "30:second", "1:hertz",
center=float(5) / 100, amplitude=0)
c = p.ref("test", None, "96-flat", discard=True)
srcs = c.wells_from(1, 2).set_volume("100:microliter")
dests = c.wells_from(7, 4)
p.distribute(srcs, dests, "30:microliter", allow_carryover=True)
p.distribute(c.well("A1").set_volume(
"20:microliter"), c.well("A2"), "5:microliter")
p.mag_incubate("96-pcr", pcr, "30:minute",
temperature="30:celsius")
pjsonString = json.dumps(p.as_dict(), indent=2)
pjson = json.loads(pjsonString)
parser_instance = english.AutoprotocolParser(pjson)
parser_instance.job_tree()
parsed_output = parser_instance.parsed_output
steps = parser_instance.object_list
forest = parser_instance.forest_list
self.assertEqual(
parsed_output, ["Magnetically release pcr_0 beads for 30.0 seconds at an amplitude of 0",
"Distribute from test/1 into wells test/7, test/8, test/9",
"Distribute from test/2 into wells test/10",
"Distribute from test/0 into wells test/1",
"Magnetically incubate pcr_0 for 30.0 minutes with a tip position of 1.5"])
self.assertEqual(forest, [[1, [5]], [2, [4]], [3]])