def get_measurement_columns(self, pipeline): columns = get_object_measurement_columns(self.output_objects_name.value) columns += [ (self.output_objects_name.value, FF_PARENT % self.objects_name.value, cpmeas.COLTYPE_INTEGER), (self.objects_name.value, FF_CHILDREN_COUNT % self.output_objects_name.value, cpmeas.COLTYPE_INTEGER), ] return columns
def get_measurement_columns(self, pipeline): columns = get_object_measurement_columns(self.output_objects_name.value) columns += [(self.output_objects_name.value, FF_PARENT % self.objects_name.value, cpmeas.COLTYPE_INTEGER), (self.objects_name.value, FF_CHILDREN_COUNT % self.output_objects_name.value, cpmeas.COLTYPE_INTEGER)] return columns
def get_measurement_columns(self, pipeline): '''Return database info on measurements made in module pipeline - pipeline being run Return a list of tuples of object name, measurement name and data type ''' result = I.get_object_measurement_columns(self.objects_name.value) return result
def get_measurement_columns(self, pipeline): """Return database info on measurements made in module pipeline - pipeline being run Return a list of tuples of object name, measurement name and data type """ result = I.get_object_measurement_columns(self.objects_name.value) return result
def get_measurement_columns(self, pipeline): '''Return column definitions for measurements made by this module''' object_name = self.object_name.value remaining_object_name = self.remaining_objects.value columns = I.get_object_measurement_columns(self.remaining_objects.value) columns += [(object_name, cellprofiler.measurement.FF_CHILDREN_COUNT % remaining_object_name, cpmeas.COLTYPE_INTEGER), (remaining_object_name, cellprofiler.measurement.FF_PARENT % object_name, cpmeas.COLTYPE_INTEGER)] return columns
def get_measurement_columns(self, pipeline): '''Return information to use when creating database columns''' orig_image_name = self.object_name.value filtered_image_name = self.filtered_objects.value columns = I.get_object_measurement_columns(filtered_image_name) columns += [(orig_image_name, cellprofiler.measurement.FF_CHILDREN_COUNT % filtered_image_name, cpmeas.COLTYPE_INTEGER), (filtered_image_name, cellprofiler.measurement.FF_PARENT % orig_image_name, cpmeas.COLTYPE_INTEGER)] return columns
def get_measurement_columns(self, pipeline): '''Return measurement column defs for the parent/child measurement''' object_list = ([(self.object_name.value, self.target_name.value)] + [(x.object_name.value, x.target_name.value) for x in self.additional_objects]) columns = [] for src_name, target_name in object_list: columns += [(target_name, FF_PARENT % src_name, cpmeas.COLTYPE_INTEGER), (src_name, FF_CHILDREN_COUNT % target_name, cpmeas.COLTYPE_INTEGER)] columns += get_object_measurement_columns(target_name) return columns
def get_measurement_columns(self, pipeline): '''Return column definitions for measurements made by this module''' object_name = self.object_name.value remaining_object_name = self.remaining_objects.value columns = I.get_object_measurement_columns( self.remaining_objects.value) columns += [(object_name, cellprofiler.measurement.FF_CHILDREN_COUNT % remaining_object_name, cpmeas.COLTYPE_INTEGER), (remaining_object_name, cellprofiler.measurement.FF_PARENT % object_name, cpmeas.COLTYPE_INTEGER)] return columns
def get_measurement_columns(self, pipeline): '''Return column definitions for measurements made by this module''' subregion_name = self.subregion_objects_name.value columns = cpmi.get_object_measurement_columns(subregion_name) for parent in (self.primary_objects_name.value, self.secondary_objects_name.value): columns += [(parent, cellprofiler.measurement.FF_CHILDREN_COUNT % subregion_name, cpmeas.COLTYPE_INTEGER), (subregion_name, cellprofiler.measurement.FF_PARENT % parent, cpmeas.COLTYPE_INTEGER)] return columns
def get_measurement_columns(self, pipeline): '''Return information to use when creating database columns''' orig_image_name = self.object_name.value filtered_image_name = self.filtered_objects.value columns = I.get_object_measurement_columns(filtered_image_name) columns += [ (orig_image_name, cellprofiler.measurement.FF_CHILDREN_COUNT % filtered_image_name, cpmeas.COLTYPE_INTEGER), (filtered_image_name, cellprofiler.measurement.FF_PARENT % orig_image_name, cpmeas.COLTYPE_INTEGER) ] return columns
def get_measurement_columns(self, pipeline): '''Return column definitions for measurements made by this module''' subregion_name = self.subregion_objects_name.value columns = cpmi.get_object_measurement_columns(subregion_name) for parent in (self.primary_objects_name.value, self.secondary_objects_name.value): columns += [ (parent, cellprofiler.measurement.FF_CHILDREN_COUNT % subregion_name, cpmeas.COLTYPE_INTEGER), (subregion_name, cellprofiler.measurement.FF_PARENT % parent, cpmeas.COLTYPE_INTEGER) ] return columns
def get_measurement_columns(self, pipeline): columns = [] for file_setting in self.file_settings: if file_setting.image_objects_choice == IO_IMAGES: image_name = file_setting.image_name.value path_name_category = C_PATH_NAME file_name_category = C_FILE_NAME columns += [ ( cpmeas.IMAGE, "_".join((C_MD5_DIGEST, image_name)), cpmeas.COLTYPE_VARCHAR_FORMAT % 32, ), ( cpmeas.IMAGE, "_".join((C_SCALING, image_name)), cpmeas.COLTYPE_FLOAT, ), ( cpmeas.IMAGE, "_".join((C_HEIGHT, image_name)), cpmeas.COLTYPE_INTEGER, ), ( cpmeas.IMAGE, "_".join((C_WIDTH, image_name)), cpmeas.COLTYPE_INTEGER, ), ] else: image_name = file_setting.objects_name.value path_name_category = C_OBJECTS_PATH_NAME file_name_category = C_OBJECTS_FILE_NAME columns += get_object_measurement_columns(image_name) columns += [(cpmeas.IMAGE, "_".join( (feature, image_name)), coltype) for feature, coltype in ( (file_name_category, cpmeas.COLTYPE_VARCHAR_FILE_NAME), (path_name_category, cpmeas.COLTYPE_VARCHAR_PATH_NAME), )] return columns
def get_measurement_columns(self, pipeline): columns = [] for file_setting in self.file_settings: if file_setting.image_objects_choice == IO_IMAGES: image_name = file_setting.image_name.value path_name_category = C_PATH_NAME file_name_category = C_FILE_NAME columns += [ (cpmeas.IMAGE, "_".join((C_MD5_DIGEST, image_name)), cpmeas.COLTYPE_VARCHAR_FORMAT % 32), (cpmeas.IMAGE, "_".join((C_SCALING, image_name)), cpmeas.COLTYPE_FLOAT), (cpmeas.IMAGE, "_".join((C_HEIGHT, image_name)), cpmeas.COLTYPE_INTEGER), (cpmeas.IMAGE, "_".join((C_WIDTH, image_name)), cpmeas.COLTYPE_INTEGER)] else: image_name = file_setting.objects_name.value path_name_category = C_OBJECTS_PATH_NAME file_name_category = C_OBJECTS_FILE_NAME columns += get_object_measurement_columns(image_name) columns += [(cpmeas.IMAGE, '_'.join((feature, image_name)), coltype) for feature, coltype in ( (file_name_category, cpmeas.COLTYPE_VARCHAR_FILE_NAME), (path_name_category, cpmeas.COLTYPE_VARCHAR_PATH_NAME), )] return columns
def get_measurement_columns(self, pipeline): '''Column definitions for measurements made by IdentifyPrimaryObjects''' return get_object_measurement_columns(self.output_objects_name.value)
def get_measurement_columns(self, pipeline): '''Return column definitions for measurements made by this module''' columns = get_object_measurement_columns(self.output_object_name.value) return columns
def get_measurement_columns(self, pipeline): """Return column definitions for measurements made by this module""" columns = get_object_measurement_columns(self.output_object_name.value) return columns
def get_measurement_columns(self, pipeline): import cellprofiler.modules.identify as I return I.get_object_measurement_columns(self.output_objects.value)
def get_measurement_columns(self, pipeline): """Column definitions for measurements made by DetectSpots""" columns = cpmi.get_object_measurement_columns(self.object_name.value) return columns