''' Created on 24 kwi 2013 @author: jurek ''' from hra_math.utils.utils import print_import_error try: import numpy as np from hra_core.units import get_time_unit from hra_math.model.data_vector import DataVector from hra_math.utils.array_utils import \ get_max_index_for_cumulative_sum_greater_then_value from hra_math.utils.array_utils import \ get_max_index_for_cumulative_sum_of_means_greater_then_value except ImportError as error: print_import_error(__name__, error) class SegmenterManager(object): @staticmethod def getDataVectorSegmenter(data, window_size_value, window_size_unit=None, sample_step=None, shift=1, stepper_size=None, stepper_unit=None, mark_last_segment=False): if window_size_value == None: return __OneRunSegmenter__(data, shift, mark_last_segment)
from hra_math.utils.utils import print_import_error try: import collections import pylab as pl from hra_core.collections_utils import nvl from hra_core.misc import Params from hra_core.misc import is_positive from hra_math.model.data_vector import DataVector from hra_math.model.utils import get_unique_annotations from hra_math.utils.array_utils \ import get_datetimes_array_as_miliseconds_intervals from hra_math.model.numerical_file_data_source \ import NumericalFileDataSource from hra_math.model.text_file_data_source import TextFileDataSource except ImportError as error: print_import_error(__name__, error) __Entities__ = collections.namedtuple('__Entities__', ['signal', 'annotation', 'time']) class DataVectorFileDataSource(object): """ class to load numerical data file into data vector """ def __init__(self, **params): self.params = Params(**params) self.__indexes__ = __Entities__(nvl(self.params.signal_index, -1), nvl(self.params.annotation_index, -1), nvl(self.params.time_index, -1))