dataformats Namespace Reference

Functions
def	help ()
def	importDF (path)
def	indent (rows, hasHeader=False, headerChar='-', delim='| ', justify='left', separateRows=False, prefix='', postfix='', wrapfunc=lambda x:x)
def	search (query)
def	wrap_always (text, width)
def	wrap_onspace (text, width)
def	wrap_onspace_strict (text, width)

Variables
	imported_modules

Function Documentation

def dataformats.help

(

)

Definition at line 123 of file dataformats.py.

References importDF(), edm.print(), and search().

def help():
    print("usage: dataformats pattern_to_search")
    print("example: dataformats muon")
    print("Note! multiple patterns separated by space are not supported")

def dataformats.importDF

(

path

)

Definition at line 85 of file dataformats.py.

References edm.print(), and cms::dd.split().

Referenced by help().

def importDF(path):

    modules_to_import = "RecoTracker RecoLocalTracker RecoLocalCalo RecoEcal RecoEgamma RecoLocalMuon RecoMuon RecoJets RecoMET RecoBTag RecoTauTag RecoVertex RecoPixelVertexing HLTrigger RecoParticleFlow".split()
    modules_to_import = "RecoLocalTracker RecoLocalMuon RecoLocalCalo RecoEcal TrackingTools RecoTracker RecoJets RecoMET RecoMuon RecoBTau RecoBTag RecoTauTag RecoVertex RecoPixelVertexing RecoEgamma RecoParticleFlow L1Trigger".split()
  

    for module in modules_to_import:
        m = module + "_dataformats"
        try:
            sys.path.append(path+"/src/Documentation/DataFormats/python/")
#            sys.path.append(".")
            globals()[m] = __import__(m)
            imported_modules.append(m)
            print("Searching in "+ module)
        except ImportError:
            print("skipping", module)
        
# END of import            
       

def dataformats.indent	(		rows,
			hasHeader = False,
			headerChar = '-',
			delim = ' | ',
			justify = 'left',
			separateRows = False,
			prefix = '',
			postfix = '',
			wrapfunc = lambda x:x
	)

Indents a table by column.
   - rows: A sequence of sequences of items, one sequence per row.
   - hasHeader: True if the first row consists of the columns' names.
   - headerChar: Character to be used for the row separator line
     (if hasHeader==True or separateRows==True).
   - delim: The column delimiter.
   - justify: Determines how are data justified in their column. 
     Valid values are 'left','right' and 'center'.
   - separateRows: True if rows are to be separated by a line
     of 'headerChar's.
   - prefix: A string prepended to each printed row.
   - postfix: A string appended to each printed row.
   - wrapfunc: A function f(text) for wrapping text; each element in
     the table is first wrapped by this function.

Definition at line 7 of file dataformats.py.

References genParticles_cff.map, SiStripPI.max, edm.print(), cms::dd.split(), str, and ComparisonHelper.zip().

Referenced by search().

           separateRows=False, prefix='', postfix='', wrapfunc=lambda x:x):
    """Indents a table by column.
       - rows: A sequence of sequences of items, one sequence per row.
       - hasHeader: True if the first row consists of the columns' names.
       - headerChar: Character to be used for the row separator line
         (if hasHeader==True or separateRows==True).
       - delim: The column delimiter.
       - justify: Determines how are data justified in their column. 
         Valid values are 'left','right' and 'center'.
       - separateRows: True if rows are to be separated by a line
         of 'headerChar's.
       - prefix: A string prepended to each printed row.
       - postfix: A string appended to each printed row.
       - wrapfunc: A function f(text) for wrapping text; each element in
         the table is first wrapped by this function."""
    # closure for breaking logical rows to physical, using wrapfunc
    def rowWrapper(row):
        newRows = [wrapfunc(item).split('\n') for item in row]
        return [[substr or '' for substr in item] for item in map(None,*newRows)]
    # break each logical row into one or more physical ones
    logicalRows = [rowWrapper(row) for row in rows]
    # columns of physical rows
    columns = map(None,*reduce(operator.add,logicalRows))
    # get the maximum of each column by the string length of its items
    maxWidths = [max([len(str(item)) for item in column]) for column in columns]
    rowSeparator = headerChar * (len(prefix) + len(postfix) + sum(maxWidths) + \
                                 len(delim)*(len(maxWidths)-1))
    # select the appropriate justify method
    justify = {'center':str.center, 'right':str.rjust, 'left':str.ljust}[justify.lower()]
    output=cStringIO.StringIO()
    if separateRows: print(rowSeparator, file=output)
    for physicalRows in logicalRows:
        for row in physicalRows:
            print(prefix \
                + delim.join([justify(str(item),width) for (item,width) in zip(row,maxWidths)]) \
                + postfix, file=output)
        if separateRows or hasHeader: print(rowSeparator, file=output); hasHeader=False
    return output.getvalue()

# written by Mike Brown
# http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/148061

def dataformats.search

(

query

)

Definition at line 105 of file dataformats.py.

References indent(), join(), edm.print(), cms::dd.split(), and wrap_always().

Referenced by help().

def search(query):
    labels = ('Where(Package)', 'Instance', 'Container', 'Description')
    width = 20
    data = ""
    
    for module in imported_modules:
        dict = vars(globals()[module])["json"]
        for type in ["full", "reco", "aod"]:
            for data_items in dict[type]['data']:
                if query.lower() in data_items.__str__().lower() and not (("No documentation".lower()) in data_items.__str__().lower()):
                    data+= module.replace("_json", "")+" ("+ type.replace("full", "FEVT") + ")||" + "||".join(data_items.values())+"\n"
    
    if (data != ""):
        rows = [row.strip().split('||')  for row in data.splitlines()]
        print(indent([labels]+rows, hasHeader=True, separateRows=True, prefix='| ', postfix=' |',  wrapfunc=lambda x: wrap_always(x,width)))
    else:
        print("No documentation found") 

def dataformats.wrap_always	(		text,
			width
	)

A simple word-wrap function that wraps text on exactly width characters.
   It doesn't split the text in words.

Definition at line 71 of file dataformats.py.

References createfilelist.int, and join().

Referenced by search(), and wrap_onspace_strict().

def wrap_always(text, width):
    """A simple word-wrap function that wraps text on exactly width characters.
       It doesn't split the text in words."""
    return '\n'.join([ text[width*i:width*(i+1)] \
                       for i in xrange(int(math.ceil(1.*len(text)/width))) ])



# END OF TABLE FORMATING

# START of import

def dataformats.wrap_onspace	(		text,
			width
	)

A word-wrap function that preserves existing line breaks
and most spaces in the text. Expects that existing line
breaks are posix newlines (\n).

Definition at line 48 of file dataformats.py.

Referenced by wrap_onspace_strict().

def wrap_onspace(text, width):
    """
    A word-wrap function that preserves existing line breaks
    and most spaces in the text. Expects that existing line
    breaks are posix newlines (\n).
    """
    return reduce(lambda line, word, width=width: '%s%s%s' %
                  (line,
                   ' \n'[(len(line[line.rfind('\n')+1:])
                         + len(word.split('\n',1)[0]
                              ) >= width)],
                   word),
                  text.split(' ')
                 )

def dataformats.wrap_onspace_strict	(		text,
			width
	)

Similar to wrap_onspace, but enforces the width constraint:
   words longer than width are split.

Definition at line 64 of file dataformats.py.

References str, wrap_always(), and wrap_onspace().

def wrap_onspace_strict(text, width):
    """Similar to wrap_onspace, but enforces the width constraint:
       words longer than width are split."""
    wordRegex = re.compile(r'\S{'+str(width)+r',}')
    return wrap_onspace(wordRegex.sub(lambda m: wrap_always(m.group(),width),text),width)

Variable Documentation

dataformats.imported_modules

Definition at line 83 of file dataformats.py.