Made a LoadDataFunction instead of four almost identical specialiced Funcions.
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@ -20,10 +20,23 @@ class SmallTestWorkflow(workflow.Workflow):
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# DATA IMPORT
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load = workflow.Stage('load', 'Data')
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load.add_function(DatasetLoadFunctionSmokerSmall())
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load.add_function(DatasetLoadFunctionSmokerMedium())
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load.add_function(DatasetLoadFunctionSmokerFull())
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load.add_function(DatasetLoadFunctionSmokerGO())
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load_small = LoadDataFunction('load-small', 'Smokers small',
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self, 'small')
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load.add_function(load_small)
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load_medium = LoadDataFunction('load-medium', 'Smokers medium',
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self, 'medium')
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load.add_function(load_medium)
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load_full = LoadDataFunction('load-full', 'Smokers full',
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self, 'full')
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load.add_function(load_full)
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load_go = LoadDataFunction('load-go', 'Smokers GO',
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self, 'go')
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load.add_function(load_go)
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#load.add_function(DatasetLoadFunctionCYCLE())
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self.add_stage(load)
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@ -71,68 +84,23 @@ class SmallTestWorkflow(workflow.Workflow):
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logger.log('debug', 'Small test workflow is now active')
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class DatasetLoadFunctionSmokerSmall(workflow.Function):
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"""Loader for all ftsv files of smokers small datasets."""
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def __init__(self):
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workflow.Function.__init__(self, 'load_small', 'Smoker (Small)')
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class LoadDataFunction(workflow.Function):
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"""Loads all datasets in a given directory."""
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def __init__(self, ident, label, wf, dir=''):
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workflow.Function.__init__(self, ident, label)
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self._dir = dir
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self._wf = wf
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def run(self):
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path = os.path.join(main.options.datadir, 'smokers-small/')
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path = os.path.join(main.options.datadir, self._wf.ident, self._dir)
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files = os.listdir(path)
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out = []
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for fname in files:
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if fname.endswith('.ftsv'):
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input_file = open(os.path.join(path, fname))
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out.append(dataset.read_ftsv(input_file))
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for fn in files:
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if fn.endswith('.ftsv'):
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out.append(dataset.read_ftsv(os.path.join(path, fn)))
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return out
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class DatasetLoadFunctionSmokerMedium(workflow.Function):
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"""Loader for all ftsv files of smokers small datasets."""
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def __init__(self):
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workflow.Function.__init__(self, 'load_medium', 'Smoker (Medium)')
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def run(self):
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path = os.path.join(main.options.datadir, 'smokers-medium/')
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files = os.listdir(path)
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out = []
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for fname in files:
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if fname.endswith('.ftsv'):
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input_file = open(os.path.join(path, fname))
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out.append(dataset.read_ftsv(input_file))
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return out
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class DatasetLoadFunctionSmokerFull(workflow.Function):
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"""Loader for all ftsv files of smokers small datasets."""
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def __init__(self):
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workflow.Function.__init__(self, 'load_full', 'Smoker (Full)')
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def run(self):
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path = os.path.join(main.options.datadir, 'smokers-full/')
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files = os.listdir(path)
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out = []
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for fname in files:
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if fname.endswith('.ftsv'):
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input_file = open(os.path.join(path, fname))
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out.append(dataset.read_ftsv(input_file))
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return out
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class DatasetLoadFunctionSmokerGO(workflow.Function):
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"""Loader for all ftsv files of smokers small datasets."""
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def __init__(self):
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workflow.Function.__init__(self, 'load_go', 'Smoker (GO)')
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def run(self):
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path = os.path.join(main.options.datadir, 'smokers-go/')
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files = os.listdir(path)
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out = []
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for fname in files:
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if fname.endswith('.ftsv'):
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input_file = open(os.path.join(path, fname))
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out.append(dataset.read_ftsv(input_file))
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return out
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class DatasetLoadFunctionCYCLE(workflow.Function):
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"""Loader for pickled CYCLE datasets."""
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def __init__(self):
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