annotate test-data/common-complicated.cppipe @ 4:20dbb1f7ec7b draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools commit 35da2dcd86747c9bff138e100dbe08c6106f3780"

CellProfiler Pipeline: http://www.cellprofiler.org
Version:3
DateRevision:319
GitHash:
ModuleCount:4
HasImagePlaneDetails:False

Images:[module_num:1|svn_version:\'Unknown\'|variable_revision_number:2|show_window:False|notes:\x5B\'To begin creating your project, use the Images module to compile a list of files and/or folders that you want to analyze. You can also specify a set of rules to include only the desired files in your selected folders.\']|batch_state:array([], dtype=uint8)|enabled:True|wants_pause:False]
    :
    Filter images?:Images only
    Select the rule criteria:and (extension does isimage) (directory doesnot startwith ".")

Metadata:[module_num:2|svn_version:\'Unknown\'|variable_revision_number:4|show_window:False|notes:\x5B\'The Metadata module optionally allows you to extract information describing your images (i.e, metadata) which will be stored along with your measurements. This information can be contained in the file name and/or location, or in an external file.\']|batch_state:array([], dtype=uint8)|enabled:True|wants_pause:False]
    Extract metadata?:Yes
    Metadata data type:Text
    Metadata types:{}
    Extraction method count:2
    Metadata extraction method:Extract from file/folder names
    Metadata source:File name
    Regular expression to extract from file name:(?P<field1>.*)_(?P<field2>[a-zA-Z0-9]+)_(?P<field3>[a-zA-Z0-9]+)_(?P<field4>[a-zA-Z0-9]+)
    Regular expression to extract from folder name:(?P<folderField1>.*)
    Extract metadata from:Images matching a rule
    Select the filtering criteria:and (file does contain "im") (extension does istif)
    Metadata file location:
    Match file and image metadata:[]
    Use case insensitive matching?:No
    Metadata extraction method:Extract from file/folder names
    Metadata source:Folder name
    Regular expression to extract from file name:(?P<field1>.*)_(?P<field2>[a-zA-Z0-9]+)
    Regular expression to extract from folder name:(?P<folderField1>.*)_(?P<folderField2>[a-zA-Z0-9]+)
    Extract metadata from:All images
    Select the filtering criteria:and (file does contain "")
    Metadata file location:
    Match file and image metadata:[]
    Use case insensitive matching?:No

NamesAndTypes:[module_num:3|svn_version:\'Unknown\'|variable_revision_number:8|show_window:False|notes:\x5B\'The NamesAndTypes module allows you to assign a meaningful name to each image by which other modules will refer to it.\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
    Assign a name to:Images matching rules
    Select the image type:Grayscale image
    Name to assign these images:DNA
    Match metadata:[]
    Image set matching method:Order
    Set intensity range from:Image metadata
    Assignments count:3
    Single images count:0
    Maximum intensity:255.0
    Process as 3D?:No
    Relative pixel spacing in X:1.0
    Relative pixel spacing in Y:1.0
    Relative pixel spacing in Z:1.0
    Select the rule criteria:and (file does contain "im") (image doesnot ismonochrome)
    Name to assign these images:DNA
    Name to assign these objects:Cell
    Select the image type:Objects
    Set intensity range from:Image metadata
    Maximum intensity:255.0
    Select the rule criteria:and (file does contain "")
    Name to assign these images:GFP
    Name to assign these objects:Cell
    Select the image type:Illumination function
    Set intensity range from:Image metadata
    Maximum intensity:255.0
    Select the rule criteria:or (extension does istif)
    Name to assign these images:Actin
    Name to assign these objects:Cell
    Select the image type:Grayscale image
    Set intensity range from:Image metadata
    Maximum intensity:255.0

Groups:[module_num:4|svn_version:\'Unknown\'|variable_revision_number:2|show_window:False|notes:\x5B\'The Groups module optionally allows you to split your list of images into image subsets (groups) which will be processed independently of each other. Examples of groupings include screening batches, microtiter plates, time-lapse movies, etc.\'\x5D|batch_state:array(\x5B\x5D, dtype=uint8)|enabled:True|wants_pause:False]
    Do you want to group your images?:Yes
    grouping metadata count:1
    Metadata category:field1