cmd-l1calo-conditions.py File Reference

Go to the source code of this file.

Namespaces
namespace	cmd-l1calo-conditions

Functions
	cmd-l1calo-conditions.load_comments (filename)

Variables
str	cmd-l1calo-conditions.folderPath = "/TRIGGER/L1Calo/V1/Calibration/"
	cmd-l1calo-conditions.parser = argparse.ArgumentParser(description='Check what conditions are defined for MC',formatter_class=argparse.ArgumentDefaultsHelpFormatter)
	cmd-l1calo-conditions.nargs
	cmd-l1calo-conditions.default
	cmd-l1calo-conditions.help
	cmd-l1calo-conditions.args = parser.parse_args()
dict	cmd-l1calo-conditions.RunToTimestampDict = {k: v for k, v in RunToTimestampDict.items() if k > 313000}
	cmd-l1calo-conditions.comments = load_comments(RunToTimestampData.__file__)
	cmd-l1calo-conditions.dbSvc = cool.DatabaseSvcFactory.databaseService()
dict	cmd-l1calo-conditions.summaries = {}
	cmd-l1calo-conditions.allGlobalTags = set()
	cmd-l1calo-conditions.globalTagList = list(args.globalTag)
str	cmd-l1calo-conditions.dbName = f"sqlite://;schema={dbName};dbname=OFLP200"
	cmd-l1calo-conditions.db = dbSvc.openDatabase(dbName)
	cmd-l1calo-conditions.globalTags = db.getFolderSet("/").listTags()
	cmd-l1calo-conditions.folder = db.getFolder(folder)
	cmd-l1calo-conditions.folderName = folder.fullPath().split("/")[-1]
str	cmd-l1calo-conditions.ftag = "sqlite" else ""
	cmd-l1calo-conditions.objs = list(folder.browseObjects(0,9223372036854775807,cool.ChannelSelection.all(),ftag))
dict	cmd-l1calo-conditions.iovs = {}
tuple	cmd-l1calo-conditions.timePair = (globalTag,int(o.since()*1e-9),int(o.until()*1e-9))
	cmd-l1calo-conditions.channelId = o.channelId()
dict	cmd-l1calo-conditions.record = {}
	cmd-l1calo-conditions.b = o.payload().field(s.name()).data()
	cmd-l1calo-conditions.hashVal = hashlib.sha256(json.dumps(d1, sort_keys=True).encode()).hexdigest()
	cmd-l1calo-conditions.df = pd.DataFrame.from_dict(d1, orient="index")
dict	cmd-l1calo-conditions.summary = {}
	cmd-l1calo-conditions.s = df[col].dropna()
	cmd-l1calo-conditions.values = list(chain.from_iterable(s))
str	cmd-l1calo-conditions.sumStr = max(values) else f"{min(values)}"
dict	cmd-l1calo-conditions.allSummaries = {}
	cmd-l1calo-conditions.result
list	cmd-l1calo-conditions.records = []
list	cmd-l1calo-conditions.setNum = []
	cmd-l1calo-conditions.text = df.to_string()
	cmd-l1calo-conditions.lines = text.splitlines()
	cmd-l1calo-conditions.header = lines[:2]
	cmd-l1calo-conditions.rows = lines[2:]
	cmd-l1calo-conditions.last = None
	cmd-l1calo-conditions.prev = df.iloc[i - 1]