'''
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))
