Sync activities to for detailed analysis of your performance.Get a breakdown of your activities for each day, week, month or year.Track your distance, speed, pace, heart rate, calories burned, duration, elevation gain/loss.Measure your performance across sports like running, cycling, walking, or just about any outdoor pursuit.It's the only app you'll need to track all your outdoor activities. #1 iPhone app in Health & Fitness in Japan, France, Belgium, Iceland, Czech Republic Map My Tracks turns your iPhone into a high performance all-sport GPS tracker that's amazingly easy, fun and motivating to use on bike rides, runs or hikes as well as other outdoor pursuits. Join over a million other people who use Map My Tracks to track their running activity. you can track it all, and stream it live, with Map My Tracks. The objects are equivalent to the DataOuputDescriptors of the aod-writer-keep option and are composed of 4 items which correspond to the 4 items of a DataOuputDescriptor.Run, jog, walk or just when out on the move. OutputDescriptors is an array of objects and corresponds to the aod-writer-keep command line option. ntfmerge is an integer and corresponds to the aod-writer-ntfmerge command line option.resfile is a string and corresponds to the aod-writer-resfile command line option.OutputDirector can include three different items: Information is contained in a json object OutputDirector. Nevertheless, currently all options are supported ( see also discussion below).Īn example file is shown in the highlighted field below. It can replace the other three options completely.
#MYTRACKS AUTO SEND FULL#
–aod-writer-json specifies the name of a json-file which contains the full information needed to customize the behavior of the internal-dpl-aod-writer. If in any of the DataOutputDescriptor the file value is missing it will be set to this default value. –aod-writer-resfileĪod-writer-resfile specifies the default name of the result file. The actual directory name is DF_y directory with y = ntfmerge * (uint64_t)(x / ntfmerge) and x the actual data frame the table belongs to. Parameters tree, columns, and file the default values ( see tableĪod-writer-ntfmerge specifies the number of data frames which are merged into a given root directory. In this case all dangling output tables are saved. The aod-writer-keep option also accepts the string "dangling" (or any leading The default file name is AnalysisResults_trees.root but can be changed with the option aod-writer-resfile. If this is missing the file name is set to the default file name. If columns is not specified then all table columns are saved.įile finally is used to compose the name of the file file.root the tables are saved to. The selected table columns are saved as separate TBranches with the same names as the corresponding table columns. The column names are expected to match column labels as defined in the respective workflow. If tree is not specified then O2tablename is used as TTree name.Ĭolumns is a slash(/)-separated list of column names., e.g. The format of tree is a simple string which names the TTree the table is saved to. TABLENAME is the description of the table as defined in the workflow definition. The other three items are optional and are filled by default values if missing. The first item of a DataOuputDescriptor ( table) is mandatory and needs to be specified, otherwise the DataOuputDescriptor is ignored. The value of aod-writer-ntfmerge specifies the number of data frames to write into the same DF_y directory with y = ntfmerge * (uint64_t)(x / ntfmerge). This behavior can be modified with the command line option –aod-writer-ntfmerge. The selected columns are saved as separate TBranches of TTree tree.īy default there is one directory DF_x created per processed data frame, where x is the data frame number. Įach DataOuputDescriptor is a colon-separated list of 4 items table:tree:columns:fileĪnd instructs the internal-dpl-aod-writer, to save the columns columns of table table as TTree tree into file file.root. DataOuputDescriptor1,DataOuputDescriptor2. Please be aware, that the functionality of these options is preliminary and might change in future.Īod-writer-keep is a comma-separated list of DataOuputDescriptors. The options allow to specify which columns of which table are saved to which tree in which file. This process is customized by various command line options of the internal-dpl-aod-writer. Produced tables can be saved to file as TTrees. Struct MyTask : AnalysisTask Ī full example can be found in the tutorial Event Mixing section.
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