def __init__(self, name): assert is_valid_variable_name(name), "Illegal characters in name %s. You can only use letters and numbers, " \ "and _" % name assert name != "name", "You cannot call a node 'name', it is reserved." _Node.__init__(self, name)
def __init__(self, name): self._children = collections.OrderedDict() self._parent = None assert is_valid_variable_name(name), "Illegal characters in name %s. You can only use letters and numbers, " \ "and _" % name self._name = name
def __init__(self, name): self.__children = collections.OrderedDict() self.__parent = None assert is_valid_variable_name(name), "Illegal characters in name %s. You can only use letters and numbers, " \ "and _" % name self._name = name super(Node, self).__init__('node', self.__children)
def __init__(self, name, nuisance_parameters): assert is_valid_variable_name(name), "The name %s cannot be used as a name. You need to use a valid " \ "python identifier: no spaces, cannot start with numbers, cannot contain " \ "operators symbols such as -, +, *, /" % name # Make sure total is not used as a name (need to use it for other things, like the total value of the statistic) assert name.lower() != "total", "Sorry, you cannot use 'total' as name for a plugin." self._name = name # This is just to make sure that the plugin is legal assert isinstance(nuisance_parameters, dict) self._nuisance_parameters = nuisance_parameters # These are the external properties (time, polarization, etc.) # self._external_properties = [] self._tag = None
def __init__( self, name, observation, background=None, response=None, arf_file=None, spectrum_number=None, verbose=True, ): assert is_valid_variable_name(name), ( "Name %s is not a valid name for a plugin. You must use a name which is " "a valid python identifier: no spaces, no operators (+,-,/,*), " "it cannot start with a number, no special characters" % name) # Read the pha file (or the PHAContainer instance) assert (isinstance(observation, str) or isinstance(observation, PHASpectrum) or isinstance(observation, PHAII) ), "observation must be a FITS file name or PHASpectrum" assert ( isinstance(background, str) or isinstance(background, PHASpectrum) or (background is None) or isinstance(background, PHAII) or isinstance(background, SpectrumLike) or isinstance(background, XYLike) ), "background must be a FITS file name, PHASpectrum, a Plugin or None" if isinstance(observation, str) or isinstance(observation, PHAII): pha = PHASpectrum( observation, spectrum_number=spectrum_number, file_type="observed", rsp_file=response, arf_file=arf_file, ) else: pha = observation # Get the required background file, response and (if present) arf_file either from the # calling sequence or the file. # NOTE: if one of the file is specified in the calling sequence, it will be used whether or not there is an # equivalent specification in the header. This allows the user to override the content of the header of the # PHA file, if needed if background is None: background = pha.background_file # assert background is not None, "No background file provided, and the PHA file does not specify one." # Get a PHA instance with the background, we pass the response to get the energy bounds in the # histogram constructor. It is not saved to the background class if background is None: # in the case there is no background file bak = None elif isinstance(background, str) or isinstance(observation, PHAII): bak = PHASpectrum( background, spectrum_number=spectrum_number, file_type="background", rsp_file=pha.response, ) else: bak = background # we do not need to pass the response as it is contained in the observation (pha) spectrum # already. super(OGIPLike, self).__init__(name=name, observation=pha, background=bak, verbose=verbose)
def _check_name(name): if not is_valid_variable_name(name): raise NameError( "The name '%s' is not valid. Please use a simple name with no spaces nor " "special characters." % (name))
def _check_name(name): if not is_valid_variable_name(name): raise NameError("The name '%s' is not valid. Please use a simple name with no spaces nor " "special characters." % (name))
def __init__(self, name, observation, background=None, response=None, arf_file=None, spectrum_number=None, verbose=True): assert is_valid_variable_name(name), "Name %s is not a valid name for a plugin. You must use a name which is " \ "a valid python identifier: no spaces, no operators (+,-,/,*), " \ "it cannot start with a number, no special characters" % name # Read the pha file (or the PHAContainer instance) assert isinstance(observation, str) or isinstance(observation, PHASpectrum) or isinstance(observation, PHAII), 'observation must be a FITS file name or PHASpectrum' assert isinstance(background, str) or isinstance(background, PHASpectrum) or ( background is None) or isinstance(background, PHAII) or isinstance(background, SpectrumLike) or isinstance(background,XYLike),\ 'background must be a FITS file name, PHASpectrum, a Plugin or None' if isinstance(observation, str) or isinstance(observation, PHAII): pha = PHASpectrum(observation, spectrum_number=spectrum_number, file_type='observed', rsp_file=response, arf_file=arf_file) else: pha = observation # Get the required background file, response and (if present) arf_file either from the # calling sequence or the file. # NOTE: if one of the file is specified in the calling sequence, it will be used whether or not there is an # equivalent specification in the header. This allows the user to override the content of the header of the # PHA file, if needed if background is None: background = pha.background_file # assert background is not None, "No background file provided, and the PHA file does not specify one." # Get a PHA instance with the background, we pass the response to get the energy bounds in the # histogram constructor. It is not saved to the background class if background is None: # in the case there is no background file bak = None elif isinstance(background, str) or isinstance(observation, PHAII): bak = PHASpectrum(background, spectrum_number=spectrum_number, file_type='background', rsp_file=pha.response) else: bak = background # we do not need to pass the response as it is contained in the observation (pha) spectrum # already. super(OGIPLike, self).__init__(name=name, observation=pha, background=bak, verbose=verbose)