Python logger.information函数代码示例

    def populate_interfaces_menu(self):
        interface_dir = ConfigService['mantidqt.python_interfaces_directory']
        items = ConfigService['mantidqt.python_interfaces'].split()

        # list of custom interfaces that are not qt4/qt5 compatible
        GUI_BLACKLIST = ['ISIS_Reflectometry_Old.py',
                         'ISIS_SANS_v2_experimental.py',
                         'Frequency_Domain_Analysis.py',
                         'Elemental_Analysis.py']

        # detect the python interfaces
        interfaces = {}
        for item in items:
            key, scriptname = item.split('/')
            if not os.path.exists(os.path.join(interface_dir, scriptname)):
                logger.warning('Failed to find script "{}" in "{}"'.format(scriptname, interface_dir))
                continue
            if scriptname in GUI_BLACKLIST:
                logger.information('Not adding gui "{}"'.format(scriptname))
                continue
            temp = interfaces.get(key, [])
            temp.append(scriptname)
            interfaces[key] = temp

        # add the interfaces to the menu
        keys = list(interfaces.keys())
        keys.sort()
        for key in keys:
            submenu = self.interfaces_menu.addMenu(key)
            names = interfaces[key]
            names.sort()
            for name in names:
                action = submenu.addAction(name.replace('.py', '').replace('_', ' '))
                script = os.path.join(interface_dir, name)
                action.triggered.connect(lambda checked, script=script: self.launch_custom_gui(script))

    def _correct_sample_can(self):
        """
        Correct for sample and container.
        """

        logger.information("Correcting sample and container")
        corrected_can_ws = "__corrected_can"

        # Acc
        Divide(
            LHSWorkspace=self._scaled_container,
            RHSWorkspace=self._corrections + "_acc",
            OutputWorkspace=corrected_can_ws,
        )

        # Acsc
        Multiply(
            LHSWorkspace=corrected_can_ws, RHSWorkspace=self._corrections + "_acsc", OutputWorkspace=corrected_can_ws
        )
        Minus(LHSWorkspace=self._sample_ws_name, RHSWorkspace=corrected_can_ws, OutputWorkspace=self._output_ws_name)

        # Assc
        Divide(
            LHSWorkspace=self._output_ws_name,
            RHSWorkspace=self._corrections + "_assc",
            OutputWorkspace=self._output_ws_name,
        )

        DeleteWorkspace(corrected_can_ws)

    def _setup(self):
        self._sample_ws_name = self.getPropertyValue('SofqWorkspace')
        logger.information('SofQ : ' + self._sample_ws_name)
        self._sample_chemical_formula = self.getPropertyValue('SampleChemicalFormula')
        self._sample_density_type = self.getProperty('SampleDensityType').value
        self._sample_density = self.getProperty('SampleDensity').value
        self._nrun1 = self.getProperty('NeutronsSingle').value
        self._nrun2 = self.getProperty('NeutronsMultiple').value
        self._geom = self.getPropertyValue('Geometry')
        logger.information('Geometry : ' + self._geom)
        self._numb_scat = self.getProperty('NumberScatterings').value
        if self._numb_scat < 1:
            raise ValueError('Number of scatterings %i is less than 1' %(self._numb_scat))
        if self._numb_scat > 5:
            self._numb_scat = 5
            logger.information('Number of scatterings set to 5 (max)')
        else:
            logger.information('Number of scatterings : %i ' % (self._numb_scat))
        self._thickness = self.getProperty('Thickness').value
        self._width = self.getProperty('Width').value
        self._height = self.getProperty('Height').value
        self._wave = self.getProperty('Wavelength').value
        self._number_angles = self.getProperty('NumberAngles').value
        self._q_values = mtd[self._sample_ws_name].readX(0)             # q array
        self._delta_q = self._q_values[1] - self._q_values[0]
        self._sofq = mtd[self._sample_ws_name].readY(0)             # S(q) values
        self._number_q = len(self._q_values)
        logger.information('Number of S(Q) values : %i ' % (self._number_q))

        self._plot = self.getProperty('Plot').value
        self._save = self.getProperty('Save').value

    def _correct_sample(self, sample_workspace, a_ss_workspace):
        """
        Correct for sample only (when no container is given).
        """

        logger.information('Correcting sample')
        return sample_workspace / self._convert_units_wavelength(a_ss_workspace)

    def _update_instrument_angles(self, workspace, q_values, wave):
        """
        Updates the instrument angles in the specified workspace, using the specified wavelength
        and the specified Q-Values. This is required when calculating absorption corrections for
        indirect elastic.

        :param workspace:   The workspace whose instrument angles to update.
        :param q_values:    The extracted Q-Values (MomentumTransfer)
        :param wave:        The wavelength
        """
        work_dir = config['defaultsave.directory']
        k0 = 4.0 * math.pi / wave
        theta = 2.0 * np.degrees(np.arcsin(q_values / k0))  # convert to angle

        filename = 'Elastic_angles.txt'
        path = os.path.join(work_dir, filename)
        logger.information('Creating angles file : ' + path)
        handle = open(path, 'w')
        head = 'spectrum,theta'
        handle.write(head + " \n")
        for n in range(0, len(theta)):
            handle.write(str(n + 1) + '   ' + str(theta[n]) + "\n")
        handle.close()

        update_alg = self.createChildAlgorithm("UpdateInstrumentFromFile", enableLogging=False)
        update_alg.setProperty("Workspace", workspace)
        update_alg.setProperty("Filename", path)
        update_alg.setProperty("MoveMonitors", False)
        update_alg.setProperty("IgnorePhi", True)
        update_alg.setProperty("AsciiHeader", head)
        update_alg.setProperty("SkipFirstNLines", 1)

 def _transmission(self):
     distance = self._radii[1] - self._radii[0]
     trans = math.exp(-distance * self._density[0] * (self._sig_s[0] + self._sig_a[0]))
     logger.information("Sample transmission : %f" % (trans))
     if self._use_can:
         distance = self._radii[2] - self._radii[1]
         trans = math.exp(-distance * self._density[1] * (self._sig_s[1] + self._sig_a[1]))
         logger.information("Can transmission : %f" % (trans))

 def _save_ws(self, input_ws, text):
     workdir = config['defaultsave.directory']
     path = os.path.join(workdir, input_ws + '.nxs')
     save_alg = self.createChildAlgorithm("SaveNexusProcessed", enableLogging = True)
     save_alg.setProperty("InputWorkspace", input_ws)
     save_alg.setProperty("Filename", path)
     save_alg.execute()
     logger.information('%s file saved as %s' % (text, path))

 def _find_das_version(self):
     boundary_run = 90000  # from VDAS.v1900_2018 to VDAS.v2019_2100
     runs = self.getProperty('RunNumbers').value
     first_run = int(self._run_list(runs)[0])
     if first_run < boundary_run:
         self._das_version = VDAS.v1900_2018
     else:
         self._das_version = VDAS.v2019_2100
     logger.information('DAS version is ' + str(self._das_version))

    def _calculate_parameters(self):
        """
        Calculates the TransformToIqt parameters and saves in a table workspace.
        """
        CropWorkspace(InputWorkspace=self._sample,
                      OutputWorkspace='__TransformToIqt_sample_cropped',
                      Xmin=self._e_min,
                      Xmax=self._e_max)
        x_data = mtd['__TransformToIqt_sample_cropped'].readX(0)
        number_input_points = len(x_data) - 1
        num_bins = int(number_input_points / self._number_points_per_bin)
        self._e_width = (abs(self._e_min) + abs(self._e_max)) / num_bins

        try:
            instrument = mtd[self._sample].getInstrument()

            analyserName = instrument.getStringParameter('analyser')[0]
            analyser = instrument.getComponentByName(analyserName)

            if analyser is not None:
                logger.debug('Found %s component in instrument %s, will look for resolution there'
                             % (analyserName, instrument))
                resolution = analyser.getNumberParameter('resolution')[0]
            else:
                logger.debug('No %s component found on instrument %s, will look for resolution in top level instrument'
                             % (analyserName, instrument))
                resolution = instrument.getNumberParameter('resolution')[0]

            logger.information('Got resolution from IPF: %f' % resolution)

        except (AttributeError, IndexError):
            resolution = 0.0175
            logger.warning('Could not get resolution from IPF, using default value: %f' % (resolution))

        resolution_bins = int(round((2 * resolution) / self._e_width))

        if resolution_bins < 5:
            logger.warning('Resolution curve has <5 points. Results may be unreliable.')

        param_table = CreateEmptyTableWorkspace(OutputWorkspace=self._parameter_table)

        param_table.addColumn('int', 'SampleInputBins')
        param_table.addColumn('float', 'BinReductionFactor')
        param_table.addColumn('int', 'SampleOutputBins')
        param_table.addColumn('float', 'EnergyMin')
        param_table.addColumn('float', 'EnergyMax')
        param_table.addColumn('float', 'EnergyWidth')
        param_table.addColumn('float', 'Resolution')
        param_table.addColumn('int', 'ResolutionBins')

        param_table.addRow([number_input_points, self._number_points_per_bin, num_bins,
                            self._e_min, self._e_max, self._e_width,
                            resolution, resolution_bins])

        DeleteWorkspace('__TransformToIqt_sample_cropped')

        self.setProperty('ParameterWorkspace', param_table)

 def _save_output(self, workspaces):
     workdir = config['defaultsave.directory']
     for ws in workspaces:
         path = os.path.join(workdir, ws + '.nxs')
         logger.information('Creating file : %s' % path)
         save_alg = self.createChildAlgorithm("SaveNexusProcessed", enableLogging = False)
         save_alg.setProperty("InputWorkspace", ws)
         save_alg.setProperty("Filename", path)
         save_alg.execute()

 def _validate_crystal_input_file(self, filename_full_path=None):
     """
     Method to validate input file for CRYSTAL ab initio program.
     :param filename_full_path: full path of a file to check.
     :returns: True if file is valid otherwise false.
     """
     logger.information("Validate CRYSTAL file with vibrational or phonon data.")
     return self._validate_ab_initio_file_extension(filename_full_path=filename_full_path,
                                                    expected_file_extension=".out")

 def _validate_gaussian_input_file(self, filename_full_path=None):
     """
     Method to validate input file for GAUSSIAN ab initio program.
     :param filename_full_path: full path of a file to check.
     :returns: True if file is valid otherwise false.
     """
     logger.information("Validate GAUSSIAN file with vibration data.")
     return self._validate_ab_initio_file_extension(filename_full_path=filename_full_path,
                                                    expected_file_extension=".log")

 def _validate_dmol3_input_file(self, filename_full_path=None):
     """
     Method to validate input file for DMOL3 ab initio program.
     :param filename_full_path: full path of a file to check.
     :returns: True if file is valid otherwise false.
     """
     logger.information("Validate DMOL3 file with vibrational data.")
     return self._validate_ab_initio_file_extension(filename_full_path=filename_full_path,
                                                    expected_file_extension=".outmol")

    def _subtract(self):
        """
        Do a simple container subtraction (when no corrections are given).
        """

        logger.information("Using simple container subtraction")

        Minus(
            LHSWorkspace=self._sample_ws_name, RHSWorkspace=self._scaled_container, OutputWorkspace=self._output_ws_name
        )

 def _calc_angles(self):
     Qmax = 4.0*math.pi/self._wave
     theta_r = np.arcsin(self._q_values/Qmax)
     theta_d = 2.0*np.rad2deg(theta_r)
     ang_inc = (theta_d[len(theta_d) - 1] - theta_d[0])/self._number_angles
     self._angles = np.zeros(self._number_angles)
     for idx_ang in range(self._number_angles):
         self._angles[idx_ang] = theta_d[0] + idx_ang*ang_inc
     logger.information('Number of angles : %i ; from %f to %f ' % 
                        (self._number_angles, self._angles[0], self._angles[self._number_angles -1]))