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src/d/a/DataPipeline-1.2/DataPipeline/PipelineApp.py   DataPipeline(Download)
#
 
from Base import Pipeline
from PEATDB.Ekin.Base import *
from PEATDB.Tables import TableCanvas
 
        #pipeline object is used for everything except gui stuff
        self.p = Pipeline(conffile)
        self.setupVars()
        self.setupGUI()

src/d/a/DataPipeline-1.2/DataPipeline/PipelineCommand.py   DataPipeline(Download)
 
"""Command line script for data pipeline."""
from Base import Pipeline
import os, random
 
 
    opts, remainder = parser.parse_args()
    P = Pipeline()
    if opts.project != None:
        P = loadProject(opts.project)

src/d/a/DataPipeline-1.2/DataPipeline/Helper.py   DataPipeline(Download)
import Images
import Pmw
from Base import Pipeline
from Editor import TextEditor
 

src/d/a/DataPipeline-1.2/DataPipeline/Unittests.py   DataPipeline(Download)
import os, random
import DataPipeline
from Base import Pipeline
import Testing
 
    def setUp(self):
        self.p = Pipeline()
        modulepath = os.path.dirname(DataPipeline.__file__)
        self.confpath = os.path.join(self.p.defaultpath,'temp.conf')
        self.filepath = os.path.join(modulepath, 'testfiles')

src/d/a/DataPipeline-1.2/DataPipeline/Testing.py   DataPipeline(Download)
 
"""Tests for data pipeline."""
from Base import Pipeline
import os, random, time, string, datetime
import numpy as np
def doTest(info, name='test', path='testfiles'):
    print 'running test %s' %name
    p = Pipeline()
    conf = info[0]
    filename = info[1]
            'parsemethod':'both',
            'model1':'linear','variable1':'a','model2':'sigmoid','variable2':'tm'}
    p = Pipeline()
    p.createConfig('temp.conf',**conf)
    p.addFolder(path)
    conf = {'format':'databycolumn','groupbyname':1, 'parsenamesindex':0, 'parsemethod':'numeric',
            'model1':'linear','variable1':'a','model2':'sigmoid','variable2':'tm'}
    p = Pipeline()
    p.createConfig('temp.conf',**conf)
    p.addFolder(path)
def multiFolderTest():
    """Handling of multiple folders in a hierarchy with replicates"""
    p = Pipeline()
    conf = {'format':'databycolumn','groupbyname':1,'parsenamesindex':0, 'parsemethod':'numeric',
            'replicates':1, #'saveplots':1,