本文整理汇总了Python中autoprotocol.protocol.Protocol.flow_analyze方法的典型用法代码示例。如果您正苦于以下问题：Python Protocol.flow_analyze方法的具体用法？Python Protocol.flow_analyze怎么用？Python Protocol.flow_analyze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.flow_analyze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_flow
# 需要导入模块: from autoprotocol.protocol import Protocol [as 别名]
# 或者: from autoprotocol.protocol.Protocol import flow_analyze [as 别名]
def test_flow(self):
"""
Desired Output:
1. Perform flow cytometry on well0 with the respective FSC and SSC channel parameters
"""
p = Protocol()
dataref = "test_ref"
well0 = p.ref("test_plate", None, "96-pcr",
discard=True).well(0)
FSC = {"voltage_range": {"low": "230:volt", "high": "280:volt"},
"area": True, "height": True, "weight": False}
SSC = {"voltage_range": {"low": "230:volt", "high": "280:volt"},
"area": True, "height": True, "weight": False}
channel0 = [FSC, SSC]
neg_controls = [{"well": well0, "volume": "100:microliter",
"captured_events": 5, "channel": channel0}]
samples = [{"well": well0,
"volume": "100:microliter", "captured_events": 9}]
p.flow_analyze(dataref, FSC, SSC, neg_controls,
samples)
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, ["Perform flow cytometry on test_plate/0 with the respective FSC and SSC channel parameters"])
self.assertEqual(forest, [[1]])