def parse(self, file_location):
"""
Reads in EVIL format from disk, searches the first line of data
for clues as to the data type. If there are = or , in the first
line it assumes its a list of dict, if . then float, and if none
of the above pure bool.
If it doesn't work, perhaps use CSV?
Args:
file_location (str): The location of the file that needs to be
read in from the disk.
Returns:
numpy.ndarray: The data that was parsed from the disk.
"""
validator = k_read_tests.EVILDataTest()
validator.quick_test(file_location)
if validator.evil_type == "DictOfArrays":
parser = DictOfArrays()
elif validator.evil_type == "ListOfFloats":
parser = ListOfFloats()
elif validator.evil_type == "ListOfBools":
parser = ListOfBooleans()
return parser.parse(file_location)
def _set_data_type(self):
"""
Sets self._file_data_type using the validator object. Mostly
Accurate.
"""
validator = k_read_tests.EVILDataTest()
validator.quick_test(self._the_file)
self._file_data_type = validator.evil_type
def EVILValidator_CheckType_ReturnType(data, expected_value):
"""
Wrapper around Validator method to reduce code reuse.
Args:
data (str): The location of the file to parse
expected_value (str): The expected data type to be returned from
the validator
"""
evil_validator_test = k_read_tests.EVILDataTest()
evil_validator_test.quick_test(data)
value = evil_validator_test.evil_type
assert value == expected_value
def data_test():
return k_read_tests.EVILDataTest()
def get_plugin_read_test(self):
return k_read_tests.EVILDataTest()