def is_valid_file_test():
parser = argparse.ArgumentParser()
# Does exist
path = os.path.realpath(__file__)
nose.tools.assert_equal(utils.is_valid_file(parser, path), path)
# Does not exist
utils.is_valid_file(parser, "/etc/nonexistingfile")
def test_is_valid_file():
parser = argparse.ArgumentParser()
# Does exist
path = os.path.realpath(__file__)
assert utils.is_valid_file(parser, path) == path
# Does not exist
with pytest.raises(SystemExit):
utils.is_valid_file(parser, "/etc/nonexistingfile")
def get_parser():
"""Return the parser object for this script."""
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
parser = ArgumentParser(description=__doc__,
formatter_class=ArgumentDefaultsHelpFormatter)
parser.add_argument("-m",
"--model",
dest="model_file",
help="where is the model file (.tar) which should get "
"trained?",
metavar="FILE",
type=lambda x: utils.is_valid_file(parser, x),
required=True)
parser.add_argument("-i",
"--input",
dest="training_data",
help="""a file which contains training data (.tar)""",
metavar="FILE",
type=lambda x: utils.is_valid_file(parser, x),
required=True)
parser.add_argument("-o",
"--output",
dest="model_output_file",
help="""where should the new model be written?""",
metavar="FILE",
required=True)
parser.add_argument("--batchsize",
dest="batch_size",
help=("A positive number which indicates how many "
"training examples get looked at before the "
"parameters get updated."),
default=256,
type=int)
parser.add_argument("-lr",
"--learningrate",
dest="learning_rate",
help=("A positive number, typically between 0 and "
"10."),
default=0.1,
type=float)
parser.add_argument("--epochs",
dest="epochs",
help=("Positive number of training epochs"),
default=100,
type=int)
return parser
def get_parser():
"""Return the parser object for this script."""
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
parser = ArgumentParser(description=__doc__,
formatter_class=ArgumentDefaultsHelpFormatter)
parser.add_argument("-m", "--model",
dest="model_file",
help="where is the model file (.tar) which should get "
"tested?",
metavar="FILE",
type=lambda x: utils.is_valid_file(parser, x),
required=True)
parser.add_argument("-i", "--input",
dest="test_data",
help="""a file which contains testing data (.tar)""",
metavar="FILE",
type=lambda x: utils.is_valid_file(parser, x),
required=True)
return parser
def get_parser():
"""Return the parser object for this script."""
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
parser = ArgumentParser(description=__doc__,
formatter_class=ArgumentDefaultsHelpFormatter)
parser.add_argument("-m",
"--model",
dest="modelfile",
help="where is the model file (.tar)?",
metavar="FILE",
type=lambda x: utils.is_valid_file(parser, x),
required=True)
parser.add_argument("-i",
"--input",
dest="inputvec",
help="""a file which contains an input vector
[[0.12, 0.312, 1.21 ...]]""",
metavar="FILE",
type=lambda x: utils.is_valid_file(parser, x),
required=True)
return parser
def get_parser():
"""Return the parser object for this script."""
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
parser = ArgumentParser(description=__doc__,
formatter_class=ArgumentDefaultsHelpFormatter)
parser.add_argument("-m",
"--model",
dest="model_file",
help="where is the model file (.tar) which should get "
"tested?",
metavar="FILE",
type=lambda x: utils.is_valid_file(parser, x),
required=True)
parser.add_argument("-i",
"--input",
dest="test_data",
help="""a file which contains testing data (.tar)""",
metavar="FILE",
type=lambda x: utils.is_valid_file(parser, x),
required=True)
return parser