#
import numpy
from sherpa.utils import NoNewAttributesAfterInit
from sherpa.utils.err import StatErr
import sherpa.stats._statfcts
from sherpa import get_config
from ConfigParser import ConfigParser
__all__ = ('Stat', 'Cash', 'CStat', 'LeastSq', 'Chi2Gehrels', 'Chi2ConstVar',
'Chi2DataVar', 'Chi2ModVar', 'Chi2XspecVar', 'Chi2', 'UserStat',
'WStat')
config = ConfigParser()
config.read(get_config())
# truncation_flag indicates whether or not model truncation
# should be performed. If true, use the truncation_value from
# the config file.
truncation_flag = config.get('statistics', 'truncate').upper()
truncation_value = float(config.get('statistics', 'trunc_value'))
if (bool(truncation_flag) is False or truncation_flag == "FALSE"
or truncation_flag == "NONE" or truncation_flag == "0"):
truncation_value = 1.0e-25
class Stat(NoNewAttributesAfterInit):
def __init__(self, name):
self.name = name
NoNewAttributesAfterInit.__init__(self)
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
#
from itertools import izip
import numpy
import pychips as chips
from sherpa.utils import get_keyword_defaults
from sherpa import get_config
from ConfigParser import ConfigParser, NoSectionError
config = ConfigParser()
config.read(get_config())
__all__ = ('clear_window', 'plot', 'histo', 'contour', 'point', 'set_subplot',
'get_split_plot_defaults','get_confid_point_defaults',
'get_plot_defaults','get_point_defaults', 'begin', 'end',
'get_data_plot_defaults', 'get_model_plot_defaults',
'get_fit_plot_defaults', 'get_resid_plot_defaults',
'get_ratio_plot_defaults', 'get_contour_defaults', 'exceptions',
'get_data_contour_defaults', 'get_model_contour_defaults',
'get_fit_contour_defaults', 'get_resid_contour_defaults',
'get_ratio_contour_defaults','get_confid_plot_defaults',
'get_confid_contour_defaults', 'set_window_redraw', 'set_jointplot',
'get_histo_defaults', 'get_model_histo_defaults',
'get_component_plot_defaults', 'get_component_histo_defaults',
'vline', 'hline', 'get_cdf_plot_defaults', 'get_scatter_plot_defaults')
def set_stack_verbosity(level):
logger.setLevel(level)
def set_stack_verbose(verbose=True):
"""Configure whether stack functions print informational messages.
:param verbose: print messages if True (default=True)
:returns: None
"""
if verbose:
logger.setLevel(logging.INFO)
else:
logger.setLevel(logging.WARNING)
# Get plot package
_cp = ConfigParser.ConfigParser()
_cp.read(sherpa.get_config())
_plot_pkg = _cp.get('options', 'plot_pkg')
if _plot_pkg == 'pylab':
import matplotlib.pyplot as plt
elif _plot_pkg == 'chips':
import pychips
from sherpa.plot import chips_backend
else:
raise ValueError('Unknown plot package {0}'.format(_plot_pkg))
# Global list of dataset ids in use
_all_dataset_ids = {}
id_str = '__ID'
def set_stack_verbosity(level):
logger.setLevel(level)
def set_stack_verbose(verbose=True):
"""Configure whether stack functions print informational messages.
:param verbose: print messages if True (default=True)
:returns: None
"""
if verbose:
logger.setLevel(logging.INFO)
else:
logger.setLevel(logging.WARNING)
# Get plot package
_cp = ConfigParser.ConfigParser()
_cp.read(sherpa.get_config())
_plot_pkg = _cp.get('options', 'plot_pkg')
if _plot_pkg == 'pylab':
import matplotlib.pyplot as plt
elif _plot_pkg == 'chips':
import pychips
from sherpa.plot import chips_backend
else:
raise ValueError('Unknown plot package {0}'.format(_plot_pkg))
# Global list of dataset ids in use
_all_dataset_ids = {}
id_str = '__ID'